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b/tool_server/.venv/lib/python3.12/site-packages/sympy/algebras/tests/test_quaternion.py new file mode 100644 index 0000000000000000000000000000000000000000..a4331cd6afa05c96e8e11d59df4b7520e4810930 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/algebras/tests/test_quaternion.py @@ -0,0 +1,437 @@ +from sympy.testing.pytest import slow +from sympy.core.function import diff +from sympy.core.function import expand +from sympy.core.numbers import (E, I, Rational, pi) +from sympy.core.singleton import S +from sympy.core.symbol import (Symbol, symbols) +from sympy.functions.elementary.complexes import (Abs, conjugate, im, re, sign) +from sympy.functions.elementary.exponential import log +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.trigonometric import (acos, asin, cos, sin, atan2, atan) +from sympy.integrals.integrals import integrate +from sympy.matrices.dense import Matrix +from sympy.simplify import simplify +from sympy.simplify.trigsimp import trigsimp +from sympy.algebras.quaternion import Quaternion +from sympy.testing.pytest import raises +import math +from itertools import permutations, product + +w, x, y, z = symbols('w:z') +phi = symbols('phi') + +def test_quaternion_construction(): + q = Quaternion(w, x, y, z) + assert q + q == Quaternion(2*w, 2*x, 2*y, 2*z) + + q2 = Quaternion.from_axis_angle((sqrt(3)/3, sqrt(3)/3, sqrt(3)/3), + pi*Rational(2, 3)) + assert q2 == Quaternion(S.Half, S.Half, + S.Half, S.Half) + + M = Matrix([[cos(phi), -sin(phi), 0], [sin(phi), cos(phi), 0], [0, 0, 1]]) + q3 = trigsimp(Quaternion.from_rotation_matrix(M)) + assert q3 == Quaternion( + sqrt(2)*sqrt(cos(phi) + 1)/2, 0, 0, sqrt(2 - 2*cos(phi))*sign(sin(phi))/2) + + nc = Symbol('nc', commutative=False) + raises(ValueError, lambda: Quaternion(w, x, nc, z)) + + +def test_quaternion_construction_norm(): + q1 = Quaternion(*symbols('a:d')) + + q2 = Quaternion(w, x, y, z) + assert expand((q1*q2).norm()**2 - (q1.norm()**2 * q2.norm()**2)) == 0 + + q3 = Quaternion(w, x, y, z, norm=1) + assert (q1 * q3).norm() == q1.norm() + + +def test_issue_25254(): + # calculating the inverse cached the norm which caused problems + # when multiplying + p = Quaternion(1, 0, 0, 0) + q = Quaternion.from_axis_angle((1, 1, 1), 3 * math.pi/4) + qi = q.inverse() # this operation cached the norm + test = q * p * qi + assert ((test - p).norm() < 1E-10) + + +def test_to_and_from_Matrix(): + q = Quaternion(w, x, y, z) + q_full = Quaternion.from_Matrix(q.to_Matrix()) + q_vect = Quaternion.from_Matrix(q.to_Matrix(True)) + assert (q - q_full).is_zero_quaternion() + assert (q.vector_part() - q_vect).is_zero_quaternion() + + +def test_product_matrices(): + q1 = Quaternion(w, x, y, z) + q2 = Quaternion(*(symbols("a:d"))) + assert (q1 * q2).to_Matrix() == q1.product_matrix_left * q2.to_Matrix() + assert (q1 * q2).to_Matrix() == q2.product_matrix_right * q1.to_Matrix() + + R1 = (q1.product_matrix_left * q1.product_matrix_right.T)[1:, 1:] + R2 = simplify(q1.to_rotation_matrix()*q1.norm()**2) + assert R1 == R2 + + +def test_quaternion_axis_angle(): + + test_data = [ # axis, angle, expected_quaternion + ((1, 0, 0), 0, (1, 0, 0, 0)), + ((1, 0, 0), pi/2, (sqrt(2)/2, sqrt(2)/2, 0, 0)), + ((0, 1, 0), pi/2, (sqrt(2)/2, 0, sqrt(2)/2, 0)), + ((0, 0, 1), pi/2, (sqrt(2)/2, 0, 0, sqrt(2)/2)), + ((1, 0, 0), pi, (0, 1, 0, 0)), + ((0, 1, 0), pi, (0, 0, 1, 0)), + ((0, 0, 1), pi, (0, 0, 0, 1)), + ((1, 1, 1), pi, (0, 1/sqrt(3),1/sqrt(3),1/sqrt(3))), + ((sqrt(3)/3, sqrt(3)/3, sqrt(3)/3), pi*2/3, (S.Half, S.Half, S.Half, S.Half)) + ] + + for axis, angle, expected in test_data: + assert Quaternion.from_axis_angle(axis, angle) == Quaternion(*expected) + + +def test_quaternion_axis_angle_simplification(): + result = Quaternion.from_axis_angle((1, 2, 3), asin(4)) + assert result.a == cos(asin(4)/2) + assert result.b == sqrt(14)*sin(asin(4)/2)/14 + assert result.c == sqrt(14)*sin(asin(4)/2)/7 + assert result.d == 3*sqrt(14)*sin(asin(4)/2)/14 + +def test_quaternion_complex_real_addition(): + a = symbols("a", complex=True) + b = symbols("b", real=True) + # This symbol is not complex: + c = symbols("c", commutative=False) + + q = Quaternion(w, x, y, z) + assert a + q == Quaternion(w + re(a), x + im(a), y, z) + assert 1 + q == Quaternion(1 + w, x, y, z) + assert I + q == Quaternion(w, 1 + x, y, z) + assert b + q == Quaternion(w + b, x, y, z) + raises(ValueError, lambda: c + q) + raises(ValueError, lambda: q * c) + raises(ValueError, lambda: c * q) + + assert -q == Quaternion(-w, -x, -y, -z) + + q1 = Quaternion(3 + 4*I, 2 + 5*I, 0, 7 + 8*I, real_field = False) + q2 = Quaternion(1, 4, 7, 8) + + assert q1 + (2 + 3*I) == Quaternion(5 + 7*I, 2 + 5*I, 0, 7 + 8*I) + assert q2 + (2 + 3*I) == Quaternion(3, 7, 7, 8) + assert q1 * (2 + 3*I) == \ + Quaternion((2 + 3*I)*(3 + 4*I), (2 + 3*I)*(2 + 5*I), 0, (2 + 3*I)*(7 + 8*I)) + assert q2 * (2 + 3*I) == Quaternion(-10, 11, 38, -5) + + q1 = Quaternion(1, 2, 3, 4) + q0 = Quaternion(0, 0, 0, 0) + assert q1 + q0 == q1 + assert q1 - q0 == q1 + assert q1 - q1 == q0 + + +def test_quaternion_subs(): + q = Quaternion.from_axis_angle((0, 0, 1), phi) + assert q.subs(phi, 0) == Quaternion(1, 0, 0, 0) + + +def test_quaternion_evalf(): + assert (Quaternion(sqrt(2), 0, 0, sqrt(3)).evalf() == + Quaternion(sqrt(2).evalf(), 0, 0, sqrt(3).evalf())) + assert (Quaternion(1/sqrt(2), 0, 0, 1/sqrt(2)).evalf() == + Quaternion((1/sqrt(2)).evalf(), 0, 0, (1/sqrt(2)).evalf())) + + +def test_quaternion_functions(): + q = Quaternion(w, x, y, z) + q1 = Quaternion(1, 2, 3, 4) + q0 = Quaternion(0, 0, 0, 0) + + assert conjugate(q) == Quaternion(w, -x, -y, -z) + assert q.norm() == sqrt(w**2 + x**2 + y**2 + z**2) + assert q.normalize() == Quaternion(w, x, y, z) / sqrt(w**2 + x**2 + y**2 + z**2) + assert q.inverse() == Quaternion(w, -x, -y, -z) / (w**2 + x**2 + y**2 + z**2) + assert q.inverse() == q.pow(-1) + raises(ValueError, lambda: q0.inverse()) + assert q.pow(2) == Quaternion(w**2 - x**2 - y**2 - z**2, 2*w*x, 2*w*y, 2*w*z) + assert q**(2) == Quaternion(w**2 - x**2 - y**2 - z**2, 2*w*x, 2*w*y, 2*w*z) + assert q1.pow(-2) == Quaternion( + Rational(-7, 225), Rational(-1, 225), Rational(-1, 150), Rational(-2, 225)) + assert q1**(-2) == Quaternion( + Rational(-7, 225), Rational(-1, 225), Rational(-1, 150), Rational(-2, 225)) + assert q1.pow(-0.5) == NotImplemented + raises(TypeError, lambda: q1**(-0.5)) + + assert q1.exp() == \ + Quaternion(E * cos(sqrt(29)), + 2 * sqrt(29) * E * sin(sqrt(29)) / 29, + 3 * sqrt(29) * E * sin(sqrt(29)) / 29, + 4 * sqrt(29) * E * sin(sqrt(29)) / 29) + assert q1.log() == \ + Quaternion(log(sqrt(30)), + 2 * sqrt(29) * acos(sqrt(30)/30) / 29, + 3 * sqrt(29) * acos(sqrt(30)/30) / 29, + 4 * sqrt(29) * acos(sqrt(30)/30) / 29) + + assert q1.pow_cos_sin(2) == \ + Quaternion(30 * cos(2 * acos(sqrt(30)/30)), + 60 * sqrt(29) * sin(2 * acos(sqrt(30)/30)) / 29, + 90 * sqrt(29) * sin(2 * acos(sqrt(30)/30)) / 29, + 120 * sqrt(29) * sin(2 * acos(sqrt(30)/30)) / 29) + + assert diff(Quaternion(x, x, x, x), x) == Quaternion(1, 1, 1, 1) + + assert integrate(Quaternion(x, x, x, x), x) == \ + Quaternion(x**2 / 2, x**2 / 2, x**2 / 2, x**2 / 2) + + assert Quaternion(1, x, x**2, x**3).integrate(x) == \ + Quaternion(x, x**2/2, x**3/3, x**4/4) + + assert Quaternion(sin(x), cos(x), sin(2*x), cos(2*x)).integrate(x) == \ + Quaternion(-cos(x), sin(x), -cos(2*x)/2, sin(2*x)/2) + + assert Quaternion(x**2, y**2, z**2, x*y*z).integrate(x, y) == \ + Quaternion(x**3*y/3, x*y**3/3, x*y*z**2, x**2*y**2*z/4) + + assert Quaternion.rotate_point((1, 1, 1), q1) == (S.One / 5, 1, S(7) / 5) + n = Symbol('n') + raises(TypeError, lambda: q1**n) + n = Symbol('n', integer=True) + raises(TypeError, lambda: q1**n) + + assert Quaternion(22, 23, 55, 8).scalar_part() == 22 + assert Quaternion(w, x, y, z).scalar_part() == w + + assert Quaternion(22, 23, 55, 8).vector_part() == Quaternion(0, 23, 55, 8) + assert Quaternion(w, x, y, z).vector_part() == Quaternion(0, x, y, z) + + assert q1.axis() == Quaternion(0, 2*sqrt(29)/29, 3*sqrt(29)/29, 4*sqrt(29)/29) + assert q1.axis().pow(2) == Quaternion(-1, 0, 0, 0) + assert q0.axis().scalar_part() == 0 + assert (q.axis() == Quaternion(0, + x/sqrt(x**2 + y**2 + z**2), + y/sqrt(x**2 + y**2 + z**2), + z/sqrt(x**2 + y**2 + z**2))) + + assert q0.is_pure() is True + assert q1.is_pure() is False + assert Quaternion(0, 0, 0, 3).is_pure() is True + assert Quaternion(0, 2, 10, 3).is_pure() is True + assert Quaternion(w, 2, 10, 3).is_pure() is None + + assert q1.angle() == 2*atan(sqrt(29)) + assert q.angle() == 2*atan2(sqrt(x**2 + y**2 + z**2), w) + + assert Quaternion.arc_coplanar(q1, Quaternion(2, 4, 6, 8)) is True + assert Quaternion.arc_coplanar(q1, Quaternion(1, -2, -3, -4)) is True + assert Quaternion.arc_coplanar(q1, Quaternion(1, 8, 12, 16)) is True + assert Quaternion.arc_coplanar(q1, Quaternion(1, 2, 3, 4)) is True + assert Quaternion.arc_coplanar(q1, Quaternion(w, 4, 6, 8)) is True + assert Quaternion.arc_coplanar(q1, Quaternion(2, 7, 4, 1)) is False + assert Quaternion.arc_coplanar(q1, Quaternion(w, x, y, z)) is None + raises(ValueError, lambda: Quaternion.arc_coplanar(q1, q0)) + + assert Quaternion.vector_coplanar( + Quaternion(0, 8, 12, 16), + Quaternion(0, 4, 6, 8), + Quaternion(0, 2, 3, 4)) is True + assert Quaternion.vector_coplanar( + Quaternion(0, 0, 0, 0), Quaternion(0, 4, 6, 8), Quaternion(0, 2, 3, 4)) is True + assert Quaternion.vector_coplanar( + Quaternion(0, 8, 2, 6), Quaternion(0, 1, 6, 6), Quaternion(0, 0, 3, 4)) is False + assert Quaternion.vector_coplanar( + Quaternion(0, 1, 3, 4), + Quaternion(0, 4, w, 6), + Quaternion(0, 6, 8, 1)) is None + raises(ValueError, lambda: + Quaternion.vector_coplanar(q0, Quaternion(0, 4, 6, 8), q1)) + + assert Quaternion(0, 1, 2, 3).parallel(Quaternion(0, 2, 4, 6)) is True + assert Quaternion(0, 1, 2, 3).parallel(Quaternion(0, 2, 2, 6)) is False + assert Quaternion(0, 1, 2, 3).parallel(Quaternion(w, x, y, 6)) is None + raises(ValueError, lambda: q0.parallel(q1)) + + assert Quaternion(0, 1, 2, 3).orthogonal(Quaternion(0, -2, 1, 0)) is True + assert Quaternion(0, 2, 4, 7).orthogonal(Quaternion(0, 2, 2, 6)) is False + assert Quaternion(0, 2, 4, 7).orthogonal(Quaternion(w, x, y, 6)) is None + raises(ValueError, lambda: q0.orthogonal(q1)) + + assert q1.index_vector() == Quaternion( + 0, 2*sqrt(870)/29, + 3*sqrt(870)/29, + 4*sqrt(870)/29) + assert Quaternion(0, 3, 9, 4).index_vector() == Quaternion(0, 3, 9, 4) + + assert Quaternion(4, 3, 9, 4).mensor() == log(sqrt(122)) + assert Quaternion(3, 3, 0, 2).mensor() == log(sqrt(22)) + + assert q0.is_zero_quaternion() is True + assert q1.is_zero_quaternion() is False + assert Quaternion(w, 0, 0, 0).is_zero_quaternion() is None + +def test_quaternion_conversions(): + q1 = Quaternion(1, 2, 3, 4) + + assert q1.to_axis_angle() == ((2 * sqrt(29)/29, + 3 * sqrt(29)/29, + 4 * sqrt(29)/29), + 2 * acos(sqrt(30)/30)) + + assert (q1.to_rotation_matrix() == + Matrix([[Rational(-2, 3), Rational(2, 15), Rational(11, 15)], + [Rational(2, 3), Rational(-1, 3), Rational(2, 3)], + [Rational(1, 3), Rational(14, 15), Rational(2, 15)]])) + + assert (q1.to_rotation_matrix((1, 1, 1)) == + Matrix([ + [Rational(-2, 3), Rational(2, 15), Rational(11, 15), Rational(4, 5)], + [Rational(2, 3), Rational(-1, 3), Rational(2, 3), S.Zero], + [Rational(1, 3), Rational(14, 15), Rational(2, 15), Rational(-2, 5)], + [S.Zero, S.Zero, S.Zero, S.One]])) + + theta = symbols("theta", real=True) + q2 = Quaternion(cos(theta/2), 0, 0, sin(theta/2)) + + assert trigsimp(q2.to_rotation_matrix()) == Matrix([ + [cos(theta), -sin(theta), 0], + [sin(theta), cos(theta), 0], + [0, 0, 1]]) + + assert q2.to_axis_angle() == ((0, 0, sin(theta/2)/Abs(sin(theta/2))), + 2*acos(cos(theta/2))) + + assert trigsimp(q2.to_rotation_matrix((1, 1, 1))) == Matrix([ + [cos(theta), -sin(theta), 0, sin(theta) - cos(theta) + 1], + [sin(theta), cos(theta), 0, -sin(theta) - cos(theta) + 1], + [0, 0, 1, 0], + [0, 0, 0, 1]]) + + +def test_rotation_matrix_homogeneous(): + q = Quaternion(w, x, y, z) + R1 = q.to_rotation_matrix(homogeneous=True) * q.norm()**2 + R2 = simplify(q.to_rotation_matrix(homogeneous=False) * q.norm()**2) + assert R1 == R2 + + +def test_quaternion_rotation_iss1593(): + """ + There was a sign mistake in the definition, + of the rotation matrix. This tests that particular sign mistake. + See issue 1593 for reference. + See wikipedia + https://en.wikipedia.org/wiki/Quaternions_and_spatial_rotation#Quaternion-derived_rotation_matrix + for the correct definition + """ + q = Quaternion(cos(phi/2), sin(phi/2), 0, 0) + assert(trigsimp(q.to_rotation_matrix()) == Matrix([ + [1, 0, 0], + [0, cos(phi), -sin(phi)], + [0, sin(phi), cos(phi)]])) + + +def test_quaternion_multiplication(): + q1 = Quaternion(3 + 4*I, 2 + 5*I, 0, 7 + 8*I, real_field = False) + q2 = Quaternion(1, 2, 3, 5) + q3 = Quaternion(1, 1, 1, y) + + assert Quaternion._generic_mul(S(4), S.One) == 4 + assert (Quaternion._generic_mul(S(4), q1) == + Quaternion(12 + 16*I, 8 + 20*I, 0, 28 + 32*I)) + assert q2.mul(2) == Quaternion(2, 4, 6, 10) + assert q2.mul(q3) == Quaternion(-5*y - 4, 3*y - 2, 9 - 2*y, y + 4) + assert q2.mul(q3) == q2*q3 + + z = symbols('z', complex=True) + z_quat = Quaternion(re(z), im(z), 0, 0) + q = Quaternion(*symbols('q:4', real=True)) + + assert z * q == z_quat * q + assert q * z == q * z_quat + + +def test_issue_16318(): + #for rtruediv + q0 = Quaternion(0, 0, 0, 0) + raises(ValueError, lambda: 1/q0) + #for rotate_point + q = Quaternion(1, 2, 3, 4) + (axis, angle) = q.to_axis_angle() + assert Quaternion.rotate_point((1, 1, 1), (axis, angle)) == (S.One / 5, 1, S(7) / 5) + #test for to_axis_angle + q = Quaternion(-1, 1, 1, 1) + axis = (-sqrt(3)/3, -sqrt(3)/3, -sqrt(3)/3) + angle = 2*pi/3 + assert (axis, angle) == q.to_axis_angle() + + +@slow +def test_to_euler(): + q = Quaternion(w, x, y, z) + q_normalized = q.normalize() + + seqs = ['zxy', 'zyx', 'zyz', 'zxz'] + seqs += [seq.upper() for seq in seqs] + + for seq in seqs: + euler_from_q = q.to_euler(seq) + q_back = simplify(Quaternion.from_euler(euler_from_q, seq)) + assert q_back == q_normalized + + +def test_to_euler_iss24504(): + """ + There was a mistake in the degenerate case testing + See issue 24504 for reference. + """ + q = Quaternion.from_euler((phi, 0, 0), 'zyz') + assert trigsimp(q.to_euler('zyz'), inverse=True) == (phi, 0, 0) + + +def test_to_euler_numerical_singilarities(): + + def test_one_case(angles, seq): + q = Quaternion.from_euler(angles, seq) + assert q.to_euler(seq) == angles + + # symmetric + test_one_case((pi/2, 0, 0), 'zyz') + test_one_case((pi/2, 0, 0), 'ZYZ') + test_one_case((pi/2, pi, 0), 'zyz') + test_one_case((pi/2, pi, 0), 'ZYZ') + + # asymmetric + test_one_case((pi/2, pi/2, 0), 'zyx') + test_one_case((pi/2, -pi/2, 0), 'zyx') + test_one_case((pi/2, pi/2, 0), 'ZYX') + test_one_case((pi/2, -pi/2, 0), 'ZYX') + + +@slow +def test_to_euler_options(): + def test_one_case(q): + angles1 = Matrix(q.to_euler(seq, True, True)) + angles2 = Matrix(q.to_euler(seq, False, False)) + angle_errors = simplify(angles1-angles2).evalf() + for angle_error in angle_errors: + # forcing angles to set {-pi, pi} + angle_error = (angle_error + pi) % (2 * pi) - pi + assert angle_error < 10e-7 + + for xyz in ('xyz', 'XYZ'): + for seq_tuple in permutations(xyz): + 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+""" +Multipledispatch handlers for ``Predicate`` are implemented here. +Handlers in this module are not directly imported to other modules in +order to avoid circular import problem. +""" + +from .common import (AskHandler, CommonHandler, + test_closed_group) + +__all__ = [ + 'AskHandler', 'CommonHandler', + 'test_closed_group' +] diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/handlers/__pycache__/__init__.cpython-312.pyc b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/handlers/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..84de6c81f541c684c0cde3a83a4e9e2b4c026fd8 Binary files /dev/null and b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/handlers/__pycache__/__init__.cpython-312.pyc differ diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/handlers/__pycache__/calculus.cpython-312.pyc 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b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/handlers/calculus.py new file mode 100644 index 0000000000000000000000000000000000000000..e2b9c43ccea216988a25aa671ea23bc81d2209ff --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/handlers/calculus.py @@ -0,0 +1,273 @@ +""" +This module contains query handlers responsible for calculus queries: +infinitesimal, finite, etc. +""" + +from sympy.assumptions import Q, ask +from sympy.core import Expr, Add, Mul, Pow, Symbol +from sympy.core.numbers import (NegativeInfinity, GoldenRatio, + Infinity, Exp1, ComplexInfinity, ImaginaryUnit, NaN, Number, Pi, E, + TribonacciConstant) +from sympy.functions import cos, exp, log, sign, sin +from sympy.logic.boolalg import conjuncts + +from ..predicates.calculus import (FinitePredicate, InfinitePredicate, + PositiveInfinitePredicate, NegativeInfinitePredicate) + + +# FinitePredicate + + +@FinitePredicate.register(Symbol) +def _(expr, assumptions): + """ + Handles Symbol. + """ + if expr.is_finite is not None: + return expr.is_finite + if Q.finite(expr) in conjuncts(assumptions): + return True + return None + +@FinitePredicate.register(Add) +def _(expr, assumptions): + """ + Return True if expr is bounded, False if not and None if unknown. + + Truth Table: + + +-------+-----+-----------+-----------+ + | | | | | + | | B | U | ? | + | | | | | + +-------+-----+---+---+---+---+---+---+ + | | | | | | | | | + | | |'+'|'-'|'x'|'+'|'-'|'x'| + | | | | | | | | | + +-------+-----+---+---+---+---+---+---+ + | | | | | + | B | B | U | ? | + | | | | | + +---+---+-----+---+---+---+---+---+---+ + | | | | | | | | | | + | |'+'| | U | ? | ? | U | ? | ? | + | | | | | | | | | | + | +---+-----+---+---+---+---+---+---+ + | | | | | | | | | | + | U |'-'| | ? | U | ? | ? | U | ? | + | | | | | | | | | | + | +---+-----+---+---+---+---+---+---+ + | | | | | | + | |'x'| | ? | ? | + | | | | | | + +---+---+-----+---+---+---+---+---+---+ + | | | | | + | ? | | | ? | + | | | | | + +-------+-----+-----------+---+---+---+ + + * 'B' = Bounded + + * 'U' = Unbounded + + * '?' = unknown boundedness + + * '+' = positive sign + + * '-' = negative sign + + * 'x' = sign unknown + + * All Bounded -> True + + * 1 Unbounded and the rest Bounded -> False + + * >1 Unbounded, all with same known sign -> False + + * Any Unknown and unknown sign -> None + + * Else -> None + + When the signs are not the same you can have an undefined + result as in oo - oo, hence 'bounded' is also undefined. + """ + sign = -1 # sign of unknown or infinite + result = True + for arg in expr.args: + _bounded = ask(Q.finite(arg), assumptions) + if _bounded: + continue + s = ask(Q.extended_positive(arg), assumptions) + # if there has been more than one sign or if the sign of this arg + # is None and Bounded is None or there was already + # an unknown sign, return None + if sign != -1 and s != sign or \ + s is None and None in (_bounded, sign): + return None + else: + sign = s + # once False, do not change + if result is not False: + result = _bounded + return result + +@FinitePredicate.register(Mul) +def _(expr, assumptions): + """ + Return True if expr is bounded, False if not and None if unknown. + + Truth Table: + + +---+---+---+--------+ + | | | | | + | | B | U | ? | + | | | | | + +---+---+---+---+----+ + | | | | | | + | | | | s | /s | + | | | | | | + +---+---+---+---+----+ + | | | | | + | B | B | U | ? | + | | | | | + +---+---+---+---+----+ + | | | | | | + | U | | U | U | ? | + | | | | | | + +---+---+---+---+----+ + | | | | | + | ? | | | ? | + | | | | | + +---+---+---+---+----+ + + * B = Bounded + + * U = Unbounded + + * ? = unknown boundedness + + * s = signed (hence nonzero) + + * /s = not signed + """ + result = True + possible_zero = False + for arg in expr.args: + _bounded = ask(Q.finite(arg), assumptions) + if _bounded: + if ask(Q.zero(arg), assumptions) is not False: + if result is False: + return None + possible_zero = True + elif _bounded is None: + if result is None: + return None + if ask(Q.extended_nonzero(arg), assumptions) is None: + return None + if result is not False: + result = None + else: + if possible_zero: + return None + result = False + return result + +@FinitePredicate.register(Pow) +def _(expr, assumptions): + """ + * Unbounded ** NonZero -> Unbounded + + * Bounded ** Bounded -> Bounded + + * Abs()<=1 ** Positive -> Bounded + + * Abs()>=1 ** Negative -> Bounded + + * Otherwise unknown + """ + if expr.base == E: + return ask(Q.finite(expr.exp), assumptions) + + base_bounded = ask(Q.finite(expr.base), assumptions) + exp_bounded = ask(Q.finite(expr.exp), assumptions) + if base_bounded is None and exp_bounded is None: # Common Case + return None + if base_bounded is False and ask(Q.extended_nonzero(expr.exp), assumptions): + return False + if base_bounded and exp_bounded: + is_base_zero = ask(Q.zero(expr.base),assumptions) + is_exp_negative = ask(Q.negative(expr.exp),assumptions) + if is_base_zero is True and is_exp_negative is True: + return False + if is_base_zero is not False and is_exp_negative is not False: + return None + return True + if (abs(expr.base) <= 1) == True and ask(Q.extended_positive(expr.exp), assumptions): + return True + if (abs(expr.base) >= 1) == True and ask(Q.extended_negative(expr.exp), assumptions): + return True + if (abs(expr.base) >= 1) == True and exp_bounded is False: + return False + return None + +@FinitePredicate.register(exp) +def _(expr, assumptions): + return ask(Q.finite(expr.exp), assumptions) + +@FinitePredicate.register(log) +def _(expr, assumptions): + # After complex -> finite fact is registered to new assumption system, + # querying Q.infinite may be removed. + if ask(Q.infinite(expr.args[0]), assumptions): + return False + return ask(~Q.zero(expr.args[0]), assumptions) + +@FinitePredicate.register_many(cos, sin, Number, Pi, Exp1, GoldenRatio, + TribonacciConstant, ImaginaryUnit, sign) +def _(expr, assumptions): + return True + +@FinitePredicate.register_many(ComplexInfinity, Infinity, NegativeInfinity) +def _(expr, assumptions): + return False + +@FinitePredicate.register(NaN) +def _(expr, assumptions): + return None + + +# InfinitePredicate + + +@InfinitePredicate.register(Expr) +def _(expr, assumptions): + is_finite = Q.finite(expr)._eval_ask(assumptions) + if is_finite is None: + return None + return not is_finite + + +# PositiveInfinitePredicate + + +@PositiveInfinitePredicate.register(Infinity) +def _(expr, assumptions): + return True + + +@PositiveInfinitePredicate.register_many(NegativeInfinity, ComplexInfinity) +def _(expr, assumptions): + return False + + +# NegativeInfinitePredicate + + +@NegativeInfinitePredicate.register(NegativeInfinity) +def _(expr, assumptions): + return True + + +@NegativeInfinitePredicate.register_many(Infinity, ComplexInfinity) +def _(expr, assumptions): + return False diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/handlers/common.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/handlers/common.py new file mode 100644 index 0000000000000000000000000000000000000000..f6e9f6f321be461c09b16c03b9cec5708404d21a --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/handlers/common.py @@ -0,0 +1,164 @@ +""" +This module defines base class for handlers and some core handlers: +``Q.commutative`` and ``Q.is_true``. +""" + +from sympy.assumptions import Q, ask, AppliedPredicate +from sympy.core import Basic, Symbol +from sympy.core.logic import _fuzzy_group, fuzzy_and, fuzzy_or +from sympy.core.numbers import NaN, Number +from sympy.logic.boolalg import (And, BooleanTrue, BooleanFalse, conjuncts, + Equivalent, Implies, Not, Or) +from sympy.utilities.exceptions import sympy_deprecation_warning + +from ..predicates.common import CommutativePredicate, IsTruePredicate + + +class AskHandler: + """Base class that all Ask Handlers must inherit.""" + def __new__(cls, *args, **kwargs): + sympy_deprecation_warning( + """ + The AskHandler system is deprecated. The AskHandler class should + be replaced with the multipledispatch handler of Predicate + """, + deprecated_since_version="1.8", + active_deprecations_target='deprecated-askhandler', + ) + return super().__new__(cls, *args, **kwargs) + + +class CommonHandler(AskHandler): + # Deprecated + """Defines some useful methods common to most Handlers. """ + + @staticmethod + def AlwaysTrue(expr, assumptions): + return True + + @staticmethod + def AlwaysFalse(expr, assumptions): + return False + + @staticmethod + def AlwaysNone(expr, assumptions): + return None + + NaN = AlwaysFalse + + +# CommutativePredicate + +@CommutativePredicate.register(Symbol) +def _(expr, assumptions): + """Objects are expected to be commutative unless otherwise stated""" + assumps = conjuncts(assumptions) + if expr.is_commutative is not None: + return expr.is_commutative and not ~Q.commutative(expr) in assumps + if Q.commutative(expr) in assumps: + return True + elif ~Q.commutative(expr) in assumps: + return False + return True + +@CommutativePredicate.register(Basic) +def _(expr, assumptions): + for arg in expr.args: + if not ask(Q.commutative(arg), assumptions): + return False + return True + +@CommutativePredicate.register(Number) +def _(expr, assumptions): + return True + +@CommutativePredicate.register(NaN) +def _(expr, assumptions): + return True + + +# IsTruePredicate + +@IsTruePredicate.register(bool) +def _(expr, assumptions): + return expr + +@IsTruePredicate.register(BooleanTrue) +def _(expr, assumptions): + return True + +@IsTruePredicate.register(BooleanFalse) +def _(expr, assumptions): + return False + +@IsTruePredicate.register(AppliedPredicate) +def _(expr, assumptions): + return ask(expr, assumptions) + +@IsTruePredicate.register(Not) +def _(expr, assumptions): + arg = expr.args[0] + if arg.is_Symbol: + # symbol used as abstract boolean object + return None + value = ask(arg, assumptions=assumptions) + if value in (True, False): + return not value + else: + return None + +@IsTruePredicate.register(Or) +def _(expr, assumptions): + result = False + for arg in expr.args: + p = ask(arg, assumptions=assumptions) + if p is True: + return True + if p is None: + result = None + return result + +@IsTruePredicate.register(And) +def _(expr, assumptions): + result = True + for arg in expr.args: + p = ask(arg, assumptions=assumptions) + if p is False: + return False + if p is None: + result = None + return result + +@IsTruePredicate.register(Implies) +def _(expr, assumptions): + p, q = expr.args + return ask(~p | q, assumptions=assumptions) + +@IsTruePredicate.register(Equivalent) +def _(expr, assumptions): + p, q = expr.args + pt = ask(p, assumptions=assumptions) + if pt is None: + return None + qt = ask(q, assumptions=assumptions) + if qt is None: + return None + return pt == qt + + +#### Helper methods +def test_closed_group(expr, assumptions, key): + """ + Test for membership in a group with respect + to the current operation. + """ + return _fuzzy_group( + (ask(key(a), assumptions) for a in expr.args), quick_exit=True) + +def ask_all(*queries, assumptions): + return fuzzy_and( + (ask(query, assumptions) for query in queries)) + +def ask_any(*queries, assumptions): + return fuzzy_or( + (ask(query, assumptions) for query in queries)) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/handlers/matrices.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/handlers/matrices.py new file mode 100644 index 0000000000000000000000000000000000000000..3b20385360136629ea037eb7238c45b70ba57fd2 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/handlers/matrices.py @@ -0,0 +1,716 @@ +""" +This module contains query handlers responsible for Matrices queries: +Square, Symmetric, Invertible etc. +""" + +from sympy.logic.boolalg import conjuncts +from sympy.assumptions import Q, ask +from sympy.assumptions.handlers import test_closed_group +from sympy.matrices import MatrixBase +from sympy.matrices.expressions import (BlockMatrix, BlockDiagMatrix, Determinant, + DiagMatrix, DiagonalMatrix, HadamardProduct, Identity, Inverse, MatAdd, MatMul, + MatPow, MatrixExpr, MatrixSlice, MatrixSymbol, OneMatrix, Trace, Transpose, + ZeroMatrix) +from sympy.matrices.expressions.blockmatrix import reblock_2x2 +from sympy.matrices.expressions.factorizations import Factorization +from sympy.matrices.expressions.fourier import DFT +from sympy.core.logic import fuzzy_and +from sympy.utilities.iterables import sift +from sympy.core import Basic + +from ..predicates.matrices import (SquarePredicate, SymmetricPredicate, + InvertiblePredicate, OrthogonalPredicate, UnitaryPredicate, + FullRankPredicate, PositiveDefinitePredicate, UpperTriangularPredicate, + LowerTriangularPredicate, DiagonalPredicate, IntegerElementsPredicate, + RealElementsPredicate, ComplexElementsPredicate) + + +def _Factorization(predicate, expr, assumptions): + if predicate in expr.predicates: + return True + + +# SquarePredicate + +@SquarePredicate.register(MatrixExpr) +def _(expr, assumptions): + return expr.shape[0] == expr.shape[1] + + +# SymmetricPredicate + +@SymmetricPredicate.register(MatMul) +def _(expr, assumptions): + factor, mmul = expr.as_coeff_mmul() + if all(ask(Q.symmetric(arg), assumptions) for arg in mmul.args): + return True + # TODO: implement sathandlers system for the matrices. + # Now it duplicates the general fact: Implies(Q.diagonal, Q.symmetric). + if ask(Q.diagonal(expr), assumptions): + return True + if len(mmul.args) >= 2 and mmul.args[0] == mmul.args[-1].T: + if len(mmul.args) == 2: + return True + return ask(Q.symmetric(MatMul(*mmul.args[1:-1])), assumptions) + +@SymmetricPredicate.register(MatPow) +def _(expr, assumptions): + # only for integer powers + base, exp = expr.args + int_exp = ask(Q.integer(exp), assumptions) + if not int_exp: + return None + non_negative = ask(~Q.negative(exp), assumptions) + if (non_negative or non_negative == False + and ask(Q.invertible(base), assumptions)): + return ask(Q.symmetric(base), assumptions) + return None + +@SymmetricPredicate.register(MatAdd) +def _(expr, assumptions): + return all(ask(Q.symmetric(arg), assumptions) for arg in expr.args) + +@SymmetricPredicate.register(MatrixSymbol) +def _(expr, assumptions): + if not expr.is_square: + return False + # TODO: implement sathandlers system for the matrices. + # Now it duplicates the general fact: Implies(Q.diagonal, Q.symmetric). + if ask(Q.diagonal(expr), assumptions): + return True + if Q.symmetric(expr) in conjuncts(assumptions): + return True + +@SymmetricPredicate.register_many(OneMatrix, ZeroMatrix) +def _(expr, assumptions): + return ask(Q.square(expr), assumptions) + +@SymmetricPredicate.register_many(Inverse, Transpose) +def _(expr, assumptions): + return ask(Q.symmetric(expr.arg), assumptions) + +@SymmetricPredicate.register(MatrixSlice) +def _(expr, assumptions): + # TODO: implement sathandlers system for the matrices. + # Now it duplicates the general fact: Implies(Q.diagonal, Q.symmetric). + if ask(Q.diagonal(expr), assumptions): + return True + if not expr.on_diag: + return None + else: + return ask(Q.symmetric(expr.parent), assumptions) + +@SymmetricPredicate.register(Identity) +def _(expr, assumptions): + return True + + +# InvertiblePredicate + +@InvertiblePredicate.register(MatMul) +def _(expr, assumptions): + factor, mmul = expr.as_coeff_mmul() + if all(ask(Q.invertible(arg), assumptions) for arg in mmul.args): + return True + if any(ask(Q.invertible(arg), assumptions) is False + for arg in mmul.args): + return False + +@InvertiblePredicate.register(MatPow) +def _(expr, assumptions): + # only for integer powers + base, exp = expr.args + int_exp = ask(Q.integer(exp), assumptions) + if not int_exp: + return None + if exp.is_negative == False: + return ask(Q.invertible(base), assumptions) + return None + +@InvertiblePredicate.register(MatAdd) +def _(expr, assumptions): + return None + +@InvertiblePredicate.register(MatrixSymbol) +def _(expr, assumptions): + if not expr.is_square: + return False + if Q.invertible(expr) in conjuncts(assumptions): + return True + +@InvertiblePredicate.register_many(Identity, Inverse) +def _(expr, assumptions): + return True + +@InvertiblePredicate.register(ZeroMatrix) +def _(expr, assumptions): + return False + +@InvertiblePredicate.register(OneMatrix) +def _(expr, assumptions): + return expr.shape[0] == 1 and expr.shape[1] == 1 + +@InvertiblePredicate.register(Transpose) +def _(expr, assumptions): + return ask(Q.invertible(expr.arg), assumptions) + +@InvertiblePredicate.register(MatrixSlice) +def _(expr, assumptions): + if not expr.on_diag: + return None + else: + return ask(Q.invertible(expr.parent), assumptions) + +@InvertiblePredicate.register(MatrixBase) +def _(expr, assumptions): + if not expr.is_square: + return False + return expr.rank() == expr.rows + +@InvertiblePredicate.register(MatrixExpr) +def _(expr, assumptions): + if not expr.is_square: + return False + return None + +@InvertiblePredicate.register(BlockMatrix) +def _(expr, assumptions): + if not expr.is_square: + return False + if expr.blockshape == (1, 1): + return ask(Q.invertible(expr.blocks[0, 0]), assumptions) + expr = reblock_2x2(expr) + if expr.blockshape == (2, 2): + [[A, B], [C, D]] = expr.blocks.tolist() + if ask(Q.invertible(A), assumptions) == True: + invertible = ask(Q.invertible(D - C * A.I * B), assumptions) + if invertible is not None: + return invertible + if ask(Q.invertible(B), assumptions) == True: + invertible = ask(Q.invertible(C - D * B.I * A), assumptions) + if invertible is not None: + return invertible + if ask(Q.invertible(C), assumptions) == True: + invertible = ask(Q.invertible(B - A * C.I * D), assumptions) + if invertible is not None: + return invertible + if ask(Q.invertible(D), assumptions) == True: + invertible = ask(Q.invertible(A - B * D.I * C), assumptions) + if invertible is not None: + return invertible + return None + +@InvertiblePredicate.register(BlockDiagMatrix) +def _(expr, assumptions): + if expr.rowblocksizes != expr.colblocksizes: + return None + return fuzzy_and([ask(Q.invertible(a), assumptions) for a in expr.diag]) + + +# OrthogonalPredicate + +@OrthogonalPredicate.register(MatMul) +def _(expr, assumptions): + factor, mmul = expr.as_coeff_mmul() + if (all(ask(Q.orthogonal(arg), assumptions) for arg in mmul.args) and + factor == 1): + return True + if any(ask(Q.invertible(arg), assumptions) is False + for arg in mmul.args): + return False + +@OrthogonalPredicate.register(MatPow) +def _(expr, assumptions): + # only for integer powers + base, exp = expr.args + int_exp = ask(Q.integer(exp), assumptions) + if int_exp: + return ask(Q.orthogonal(base), assumptions) + return None + +@OrthogonalPredicate.register(MatAdd) +def _(expr, assumptions): + if (len(expr.args) == 1 and + ask(Q.orthogonal(expr.args[0]), assumptions)): + return True + +@OrthogonalPredicate.register(MatrixSymbol) +def _(expr, assumptions): + if (not expr.is_square or + ask(Q.invertible(expr), assumptions) is False): + return False + if Q.orthogonal(expr) in conjuncts(assumptions): + return True + +@OrthogonalPredicate.register(Identity) +def _(expr, assumptions): + return True + +@OrthogonalPredicate.register(ZeroMatrix) +def _(expr, assumptions): + return False + +@OrthogonalPredicate.register_many(Inverse, Transpose) +def _(expr, assumptions): + return ask(Q.orthogonal(expr.arg), assumptions) + +@OrthogonalPredicate.register(MatrixSlice) +def _(expr, assumptions): + if not expr.on_diag: + return None + else: + return ask(Q.orthogonal(expr.parent), assumptions) + +@OrthogonalPredicate.register(Factorization) +def _(expr, assumptions): + return _Factorization(Q.orthogonal, expr, assumptions) + + +# UnitaryPredicate + +@UnitaryPredicate.register(MatMul) +def _(expr, assumptions): + factor, mmul = expr.as_coeff_mmul() + if (all(ask(Q.unitary(arg), assumptions) for arg in mmul.args) and + abs(factor) == 1): + return True + if any(ask(Q.invertible(arg), assumptions) is False + for arg in mmul.args): + return False + +@UnitaryPredicate.register(MatPow) +def _(expr, assumptions): + # only for integer powers + base, exp = expr.args + int_exp = ask(Q.integer(exp), assumptions) + if int_exp: + return ask(Q.unitary(base), assumptions) + return None + +@UnitaryPredicate.register(MatrixSymbol) +def _(expr, assumptions): + if (not expr.is_square or + ask(Q.invertible(expr), assumptions) is False): + return False + if Q.unitary(expr) in conjuncts(assumptions): + return True + +@UnitaryPredicate.register_many(Inverse, Transpose) +def _(expr, assumptions): + return ask(Q.unitary(expr.arg), assumptions) + +@UnitaryPredicate.register(MatrixSlice) +def _(expr, assumptions): + if not expr.on_diag: + return None + else: + return ask(Q.unitary(expr.parent), assumptions) + +@UnitaryPredicate.register_many(DFT, Identity) +def _(expr, assumptions): + return True + +@UnitaryPredicate.register(ZeroMatrix) +def _(expr, assumptions): + return False + +@UnitaryPredicate.register(Factorization) +def _(expr, assumptions): + return _Factorization(Q.unitary, expr, assumptions) + + +# FullRankPredicate + +@FullRankPredicate.register(MatMul) +def _(expr, assumptions): + if all(ask(Q.fullrank(arg), assumptions) for arg in expr.args): + return True + +@FullRankPredicate.register(MatPow) +def _(expr, assumptions): + # only for integer powers + base, exp = expr.args + int_exp = ask(Q.integer(exp), assumptions) + if int_exp and ask(~Q.negative(exp), assumptions): + return ask(Q.fullrank(base), assumptions) + return None + +@FullRankPredicate.register(Identity) +def _(expr, assumptions): + return True + +@FullRankPredicate.register(ZeroMatrix) +def _(expr, assumptions): + return False + +@FullRankPredicate.register(OneMatrix) +def _(expr, assumptions): + return expr.shape[0] == 1 and expr.shape[1] == 1 + +@FullRankPredicate.register_many(Inverse, Transpose) +def _(expr, assumptions): + return ask(Q.fullrank(expr.arg), assumptions) + +@FullRankPredicate.register(MatrixSlice) +def _(expr, assumptions): + if ask(Q.orthogonal(expr.parent), assumptions): + return True + + +# PositiveDefinitePredicate + +@PositiveDefinitePredicate.register(MatMul) +def _(expr, assumptions): + factor, mmul = expr.as_coeff_mmul() + if (all(ask(Q.positive_definite(arg), assumptions) + for arg in mmul.args) and factor > 0): + return True + if (len(mmul.args) >= 2 + and mmul.args[0] == mmul.args[-1].T + and ask(Q.fullrank(mmul.args[0]), assumptions)): + return ask(Q.positive_definite( + MatMul(*mmul.args[1:-1])), assumptions) + +@PositiveDefinitePredicate.register(MatPow) +def _(expr, assumptions): + # a power of a positive definite matrix is positive definite + if ask(Q.positive_definite(expr.args[0]), assumptions): + return True + +@PositiveDefinitePredicate.register(MatAdd) +def _(expr, assumptions): + if all(ask(Q.positive_definite(arg), assumptions) + for arg in expr.args): + return True + +@PositiveDefinitePredicate.register(MatrixSymbol) +def _(expr, assumptions): + if not expr.is_square: + return False + if Q.positive_definite(expr) in conjuncts(assumptions): + return True + +@PositiveDefinitePredicate.register(Identity) +def _(expr, assumptions): + return True + +@PositiveDefinitePredicate.register(ZeroMatrix) +def _(expr, assumptions): + return False + +@PositiveDefinitePredicate.register(OneMatrix) +def _(expr, assumptions): + return expr.shape[0] == 1 and expr.shape[1] == 1 + +@PositiveDefinitePredicate.register_many(Inverse, Transpose) +def _(expr, assumptions): + return ask(Q.positive_definite(expr.arg), assumptions) + +@PositiveDefinitePredicate.register(MatrixSlice) +def _(expr, assumptions): + if not expr.on_diag: + return None + else: + return ask(Q.positive_definite(expr.parent), assumptions) + + +# UpperTriangularPredicate + +@UpperTriangularPredicate.register(MatMul) +def _(expr, assumptions): + factor, matrices = expr.as_coeff_matrices() + if all(ask(Q.upper_triangular(m), assumptions) for m in matrices): + return True + +@UpperTriangularPredicate.register(MatAdd) +def _(expr, assumptions): + if all(ask(Q.upper_triangular(arg), assumptions) for arg in expr.args): + return True + +@UpperTriangularPredicate.register(MatPow) +def _(expr, assumptions): + # only for integer powers + base, exp = expr.args + int_exp = ask(Q.integer(exp), assumptions) + if not int_exp: + return None + non_negative = ask(~Q.negative(exp), assumptions) + if (non_negative or non_negative == False + and ask(Q.invertible(base), assumptions)): + return ask(Q.upper_triangular(base), assumptions) + return None + +@UpperTriangularPredicate.register(MatrixSymbol) +def _(expr, assumptions): + if Q.upper_triangular(expr) in conjuncts(assumptions): + return True + +@UpperTriangularPredicate.register_many(Identity, ZeroMatrix) +def _(expr, assumptions): + return True + +@UpperTriangularPredicate.register(OneMatrix) +def _(expr, assumptions): + return expr.shape[0] == 1 and expr.shape[1] == 1 + +@UpperTriangularPredicate.register(Transpose) +def _(expr, assumptions): + return ask(Q.lower_triangular(expr.arg), assumptions) + +@UpperTriangularPredicate.register(Inverse) +def _(expr, assumptions): + return ask(Q.upper_triangular(expr.arg), assumptions) + +@UpperTriangularPredicate.register(MatrixSlice) +def _(expr, assumptions): + if not expr.on_diag: + return None + else: + return ask(Q.upper_triangular(expr.parent), assumptions) + +@UpperTriangularPredicate.register(Factorization) +def _(expr, assumptions): + return _Factorization(Q.upper_triangular, expr, assumptions) + +# LowerTriangularPredicate + +@LowerTriangularPredicate.register(MatMul) +def _(expr, assumptions): + factor, matrices = expr.as_coeff_matrices() + if all(ask(Q.lower_triangular(m), assumptions) for m in matrices): + return True + +@LowerTriangularPredicate.register(MatAdd) +def _(expr, assumptions): + if all(ask(Q.lower_triangular(arg), assumptions) for arg in expr.args): + return True + +@LowerTriangularPredicate.register(MatPow) +def _(expr, assumptions): + # only for integer powers + base, exp = expr.args + int_exp = ask(Q.integer(exp), assumptions) + if not int_exp: + return None + non_negative = ask(~Q.negative(exp), assumptions) + if (non_negative or non_negative == False + and ask(Q.invertible(base), assumptions)): + return ask(Q.lower_triangular(base), assumptions) + return None + +@LowerTriangularPredicate.register(MatrixSymbol) +def _(expr, assumptions): + if Q.lower_triangular(expr) in conjuncts(assumptions): + return True + +@LowerTriangularPredicate.register_many(Identity, ZeroMatrix) +def _(expr, assumptions): + return True + +@LowerTriangularPredicate.register(OneMatrix) +def _(expr, assumptions): + return expr.shape[0] == 1 and expr.shape[1] == 1 + +@LowerTriangularPredicate.register(Transpose) +def _(expr, assumptions): + return ask(Q.upper_triangular(expr.arg), assumptions) + +@LowerTriangularPredicate.register(Inverse) +def _(expr, assumptions): + return ask(Q.lower_triangular(expr.arg), assumptions) + +@LowerTriangularPredicate.register(MatrixSlice) +def _(expr, assumptions): + if not expr.on_diag: + return None + else: + return ask(Q.lower_triangular(expr.parent), assumptions) + +@LowerTriangularPredicate.register(Factorization) +def _(expr, assumptions): + return _Factorization(Q.lower_triangular, expr, assumptions) + + +# DiagonalPredicate + +def _is_empty_or_1x1(expr): + return expr.shape in ((0, 0), (1, 1)) + +@DiagonalPredicate.register(MatMul) +def _(expr, assumptions): + if _is_empty_or_1x1(expr): + return True + factor, matrices = expr.as_coeff_matrices() + if all(ask(Q.diagonal(m), assumptions) for m in matrices): + return True + +@DiagonalPredicate.register(MatPow) +def _(expr, assumptions): + # only for integer powers + base, exp = expr.args + int_exp = ask(Q.integer(exp), assumptions) + if not int_exp: + return None + non_negative = ask(~Q.negative(exp), assumptions) + if (non_negative or non_negative == False + and ask(Q.invertible(base), assumptions)): + return ask(Q.diagonal(base), assumptions) + return None + +@DiagonalPredicate.register(MatAdd) +def _(expr, assumptions): + if all(ask(Q.diagonal(arg), assumptions) for arg in expr.args): + return True + +@DiagonalPredicate.register(MatrixSymbol) +def _(expr, assumptions): + if _is_empty_or_1x1(expr): + return True + if Q.diagonal(expr) in conjuncts(assumptions): + return True + +@DiagonalPredicate.register(OneMatrix) +def _(expr, assumptions): + return expr.shape[0] == 1 and expr.shape[1] == 1 + +@DiagonalPredicate.register_many(Inverse, Transpose) +def _(expr, assumptions): + return ask(Q.diagonal(expr.arg), assumptions) + +@DiagonalPredicate.register(MatrixSlice) +def _(expr, assumptions): + if _is_empty_or_1x1(expr): + return True + if not expr.on_diag: + return None + else: + return ask(Q.diagonal(expr.parent), assumptions) + +@DiagonalPredicate.register_many(DiagonalMatrix, DiagMatrix, Identity, ZeroMatrix) +def _(expr, assumptions): + return True + +@DiagonalPredicate.register(Factorization) +def _(expr, assumptions): + return _Factorization(Q.diagonal, expr, assumptions) + + +# IntegerElementsPredicate + +def BM_elements(predicate, expr, assumptions): + """ Block Matrix elements. """ + return all(ask(predicate(b), assumptions) for b in expr.blocks) + +def MS_elements(predicate, expr, assumptions): + """ Matrix Slice elements. """ + return ask(predicate(expr.parent), assumptions) + +def MatMul_elements(matrix_predicate, scalar_predicate, expr, assumptions): + d = sift(expr.args, lambda x: isinstance(x, MatrixExpr)) + factors, matrices = d[False], d[True] + return fuzzy_and([ + test_closed_group(Basic(*factors), assumptions, scalar_predicate), + test_closed_group(Basic(*matrices), assumptions, matrix_predicate)]) + + +@IntegerElementsPredicate.register_many(Determinant, HadamardProduct, MatAdd, + Trace, Transpose) +def _(expr, assumptions): + return test_closed_group(expr, assumptions, Q.integer_elements) + +@IntegerElementsPredicate.register(MatPow) +def _(expr, assumptions): + # only for integer powers + base, exp = expr.args + int_exp = ask(Q.integer(exp), assumptions) + if not int_exp: + return None + if exp.is_negative == False: + return ask(Q.integer_elements(base), assumptions) + return None + +@IntegerElementsPredicate.register_many(Identity, OneMatrix, ZeroMatrix) +def _(expr, assumptions): + return True + +@IntegerElementsPredicate.register(MatMul) +def _(expr, assumptions): + return MatMul_elements(Q.integer_elements, Q.integer, expr, assumptions) + +@IntegerElementsPredicate.register(MatrixSlice) +def _(expr, assumptions): + return MS_elements(Q.integer_elements, expr, assumptions) + +@IntegerElementsPredicate.register(BlockMatrix) +def _(expr, assumptions): + return BM_elements(Q.integer_elements, expr, assumptions) + + +# RealElementsPredicate + +@RealElementsPredicate.register_many(Determinant, Factorization, HadamardProduct, + MatAdd, Trace, Transpose) +def _(expr, assumptions): + return test_closed_group(expr, assumptions, Q.real_elements) + +@RealElementsPredicate.register(MatPow) +def _(expr, assumptions): + # only for integer powers + base, exp = expr.args + int_exp = ask(Q.integer(exp), assumptions) + if not int_exp: + return None + non_negative = ask(~Q.negative(exp), assumptions) + if (non_negative or non_negative == False + and ask(Q.invertible(base), assumptions)): + return ask(Q.real_elements(base), assumptions) + return None + +@RealElementsPredicate.register(MatMul) +def _(expr, assumptions): + return MatMul_elements(Q.real_elements, Q.real, expr, assumptions) + +@RealElementsPredicate.register(MatrixSlice) +def _(expr, assumptions): + return MS_elements(Q.real_elements, expr, assumptions) + +@RealElementsPredicate.register(BlockMatrix) +def _(expr, assumptions): + return BM_elements(Q.real_elements, expr, assumptions) + + +# ComplexElementsPredicate + +@ComplexElementsPredicate.register_many(Determinant, Factorization, HadamardProduct, + Inverse, MatAdd, Trace, Transpose) +def _(expr, assumptions): + return test_closed_group(expr, assumptions, Q.complex_elements) + +@ComplexElementsPredicate.register(MatPow) +def _(expr, assumptions): + # only for integer powers + base, exp = expr.args + int_exp = ask(Q.integer(exp), assumptions) + if not int_exp: + return None + non_negative = ask(~Q.negative(exp), assumptions) + if (non_negative or non_negative == False + and ask(Q.invertible(base), assumptions)): + return ask(Q.complex_elements(base), assumptions) + return None + +@ComplexElementsPredicate.register(MatMul) +def _(expr, assumptions): + return MatMul_elements(Q.complex_elements, Q.complex, expr, assumptions) + +@ComplexElementsPredicate.register(MatrixSlice) +def _(expr, assumptions): + return MS_elements(Q.complex_elements, expr, assumptions) + +@ComplexElementsPredicate.register(BlockMatrix) +def _(expr, assumptions): + return BM_elements(Q.complex_elements, expr, assumptions) + +@ComplexElementsPredicate.register(DFT) +def _(expr, assumptions): + return True diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/handlers/ntheory.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/handlers/ntheory.py new file mode 100644 index 0000000000000000000000000000000000000000..cfe63ba6467ea6863c6112c5e35bb3a78191a23e --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/handlers/ntheory.py @@ -0,0 +1,279 @@ +""" +Handlers for keys related to number theory: prime, even, odd, etc. +""" + +from sympy.assumptions import Q, ask +from sympy.core import Add, Basic, Expr, Float, Mul, Pow, S +from sympy.core.numbers import (ImaginaryUnit, Infinity, Integer, NaN, + NegativeInfinity, NumberSymbol, Rational, int_valued) +from sympy.functions import Abs, im, re +from sympy.ntheory import isprime + +from sympy.multipledispatch import MDNotImplementedError + +from ..predicates.ntheory import (PrimePredicate, CompositePredicate, + EvenPredicate, OddPredicate) + + +# PrimePredicate + +def _PrimePredicate_number(expr, assumptions): + # helper method + exact = not expr.atoms(Float) + try: + i = int(expr.round()) + if (expr - i).equals(0) is False: + raise TypeError + except TypeError: + return False + if exact: + return isprime(i) + # when not exact, we won't give a True or False + # since the number represents an approximate value + +@PrimePredicate.register(Expr) +def _(expr, assumptions): + ret = expr.is_prime + if ret is None: + raise MDNotImplementedError + return ret + +@PrimePredicate.register(Basic) +def _(expr, assumptions): + if expr.is_number: + return _PrimePredicate_number(expr, assumptions) + +@PrimePredicate.register(Mul) +def _(expr, assumptions): + if expr.is_number: + return _PrimePredicate_number(expr, assumptions) + for arg in expr.args: + if not ask(Q.integer(arg), assumptions): + return None + for arg in expr.args: + if arg.is_number and arg.is_composite: + return False + +@PrimePredicate.register(Pow) +def _(expr, assumptions): + """ + Integer**Integer -> !Prime + """ + if expr.is_number: + return _PrimePredicate_number(expr, assumptions) + if ask(Q.integer(expr.exp), assumptions) and \ + ask(Q.integer(expr.base), assumptions): + prime_base = ask(Q.prime(expr.base), assumptions) + if prime_base is False: + return False + is_exp_one = ask(Q.eq(expr.exp, 1), assumptions) + if is_exp_one is False: + return False + if prime_base is True and is_exp_one is True: + return True + +@PrimePredicate.register(Integer) +def _(expr, assumptions): + return isprime(expr) + +@PrimePredicate.register_many(Rational, Infinity, NegativeInfinity, ImaginaryUnit) +def _(expr, assumptions): + return False + +@PrimePredicate.register(Float) +def _(expr, assumptions): + return _PrimePredicate_number(expr, assumptions) + +@PrimePredicate.register(NumberSymbol) +def _(expr, assumptions): + return _PrimePredicate_number(expr, assumptions) + +@PrimePredicate.register(NaN) +def _(expr, assumptions): + return None + + +# CompositePredicate + +@CompositePredicate.register(Expr) +def _(expr, assumptions): + ret = expr.is_composite + if ret is None: + raise MDNotImplementedError + return ret + +@CompositePredicate.register(Basic) +def _(expr, assumptions): + _positive = ask(Q.positive(expr), assumptions) + if _positive: + _integer = ask(Q.integer(expr), assumptions) + if _integer: + _prime = ask(Q.prime(expr), assumptions) + if _prime is None: + return + # Positive integer which is not prime is not + # necessarily composite + _is_one = ask(Q.eq(expr, 1), assumptions) + if _is_one: + return False + if _is_one is None: + return None + return not _prime + else: + return _integer + else: + return _positive + + +# EvenPredicate + +def _EvenPredicate_number(expr, assumptions): + # helper method + if isinstance(expr, (float, Float)): + if int_valued(expr): + return None + return False + try: + i = int(expr.round()) + except TypeError: + return False + if not (expr - i).equals(0): + return False + return i % 2 == 0 + +@EvenPredicate.register(Expr) +def _(expr, assumptions): + ret = expr.is_even + if ret is None: + raise MDNotImplementedError + return ret + +@EvenPredicate.register(Basic) +def _(expr, assumptions): + if expr.is_number: + return _EvenPredicate_number(expr, assumptions) + +@EvenPredicate.register(Mul) +def _(expr, assumptions): + """ + Even * Integer -> Even + Even * Odd -> Even + Integer * Odd -> ? + Odd * Odd -> Odd + Even * Even -> Even + Integer * Integer -> Even if Integer + Integer = Odd + otherwise -> ? + """ + if expr.is_number: + return _EvenPredicate_number(expr, assumptions) + even, odd, irrational, acc = False, 0, False, 1 + for arg in expr.args: + # check for all integers and at least one even + if ask(Q.integer(arg), assumptions): + if ask(Q.even(arg), assumptions): + even = True + elif ask(Q.odd(arg), assumptions): + odd += 1 + elif not even and acc != 1: + if ask(Q.odd(acc + arg), assumptions): + even = True + elif ask(Q.irrational(arg), assumptions): + # one irrational makes the result False + # two makes it undefined + if irrational: + break + irrational = True + else: + break + acc = arg + else: + if irrational: + return False + if even: + return True + if odd == len(expr.args): + return False + +@EvenPredicate.register(Add) +def _(expr, assumptions): + """ + Even + Odd -> Odd + Even + Even -> Even + Odd + Odd -> Even + + """ + if expr.is_number: + return _EvenPredicate_number(expr, assumptions) + _result = True + for arg in expr.args: + if ask(Q.even(arg), assumptions): + pass + elif ask(Q.odd(arg), assumptions): + _result = not _result + else: + break + else: + return _result + +@EvenPredicate.register(Pow) +def _(expr, assumptions): + if expr.is_number: + return _EvenPredicate_number(expr, assumptions) + if ask(Q.integer(expr.exp), assumptions): + if ask(Q.positive(expr.exp), assumptions): + return ask(Q.even(expr.base), assumptions) + elif ask(~Q.negative(expr.exp) & Q.odd(expr.base), assumptions): + return False + elif expr.base is S.NegativeOne: + return False + +@EvenPredicate.register(Integer) +def _(expr, assumptions): + return not bool(expr.p & 1) + +@EvenPredicate.register_many(Rational, Infinity, NegativeInfinity, ImaginaryUnit) +def _(expr, assumptions): + return False + +@EvenPredicate.register(NumberSymbol) +def _(expr, assumptions): + return _EvenPredicate_number(expr, assumptions) + +@EvenPredicate.register(Abs) +def _(expr, assumptions): + if ask(Q.real(expr.args[0]), assumptions): + return ask(Q.even(expr.args[0]), assumptions) + +@EvenPredicate.register(re) +def _(expr, assumptions): + if ask(Q.real(expr.args[0]), assumptions): + return ask(Q.even(expr.args[0]), assumptions) + +@EvenPredicate.register(im) +def _(expr, assumptions): + if ask(Q.real(expr.args[0]), assumptions): + return True + +@EvenPredicate.register(NaN) +def _(expr, assumptions): + return None + + +# OddPredicate + +@OddPredicate.register(Expr) +def _(expr, assumptions): + ret = expr.is_odd + if ret is None: + raise MDNotImplementedError + return ret + +@OddPredicate.register(Basic) +def _(expr, assumptions): + _integer = ask(Q.integer(expr), assumptions) + if _integer: + _even = ask(Q.even(expr), assumptions) + if _even is None: + return None + return not _even + return _integer diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/handlers/order.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/handlers/order.py new file mode 100644 index 0000000000000000000000000000000000000000..24a8bae7f30777f62a1bec0579d58b9875143679 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/handlers/order.py @@ -0,0 +1,440 @@ +""" +Handlers related to order relations: positive, negative, etc. +""" + +from sympy.assumptions import Q, ask +from sympy.core import Add, Basic, Expr, Mul, Pow, S +from sympy.core.logic import fuzzy_not, fuzzy_and, fuzzy_or +from sympy.core.numbers import E, ImaginaryUnit, NaN, I, pi +from sympy.functions import Abs, acos, acot, asin, atan, exp, factorial, log +from sympy.matrices import Determinant, Trace +from sympy.matrices.expressions.matexpr import MatrixElement + +from sympy.multipledispatch import MDNotImplementedError + +from ..predicates.order import (NegativePredicate, NonNegativePredicate, + NonZeroPredicate, ZeroPredicate, NonPositivePredicate, PositivePredicate, + ExtendedNegativePredicate, ExtendedNonNegativePredicate, + ExtendedNonPositivePredicate, ExtendedNonZeroPredicate, + ExtendedPositivePredicate,) + + +# NegativePredicate + +def _NegativePredicate_number(expr, assumptions): + r, i = expr.as_real_imag() + + if r == S.NaN or i == S.NaN: + return None + + # If the imaginary part can symbolically be shown to be zero then + # we just evaluate the real part; otherwise we evaluate the imaginary + # part to see if it actually evaluates to zero and if it does then + # we make the comparison between the real part and zero. + if not i: + r = r.evalf(2) + if r._prec != 1: + return r < 0 + else: + i = i.evalf(2) + if i._prec != 1: + if i != 0: + return False + r = r.evalf(2) + if r._prec != 1: + return r < 0 + +@NegativePredicate.register(Basic) +def _(expr, assumptions): + if expr.is_number: + return _NegativePredicate_number(expr, assumptions) + +@NegativePredicate.register(Expr) +def _(expr, assumptions): + ret = expr.is_negative + if ret is None: + raise MDNotImplementedError + return ret + +@NegativePredicate.register(Add) +def _(expr, assumptions): + """ + Positive + Positive -> Positive, + Negative + Negative -> Negative + """ + if expr.is_number: + return _NegativePredicate_number(expr, assumptions) + + r = ask(Q.real(expr), assumptions) + if r is not True: + return r + + nonpos = 0 + for arg in expr.args: + if ask(Q.negative(arg), assumptions) is not True: + if ask(Q.positive(arg), assumptions) is False: + nonpos += 1 + else: + break + else: + if nonpos < len(expr.args): + return True + +@NegativePredicate.register(Mul) +def _(expr, assumptions): + if expr.is_number: + return _NegativePredicate_number(expr, assumptions) + result = None + for arg in expr.args: + if result is None: + result = False + if ask(Q.negative(arg), assumptions): + result = not result + elif ask(Q.positive(arg), assumptions): + pass + else: + return + return result + +@NegativePredicate.register(Pow) +def _(expr, assumptions): + """ + Real ** Even -> NonNegative + Real ** Odd -> same_as_base + NonNegative ** Positive -> NonNegative + """ + if expr.base == E: + # Exponential is always positive: + if ask(Q.real(expr.exp), assumptions): + return False + return + + if expr.is_number: + return _NegativePredicate_number(expr, assumptions) + if ask(Q.real(expr.base), assumptions): + if ask(Q.positive(expr.base), assumptions): + if ask(Q.real(expr.exp), assumptions): + return False + if ask(Q.even(expr.exp), assumptions): + return False + if ask(Q.odd(expr.exp), assumptions): + return ask(Q.negative(expr.base), assumptions) + +@NegativePredicate.register_many(Abs, ImaginaryUnit) +def _(expr, assumptions): + return False + +@NegativePredicate.register(exp) +def _(expr, assumptions): + if ask(Q.real(expr.exp), assumptions): + return False + raise MDNotImplementedError + + +# NonNegativePredicate + +@NonNegativePredicate.register(Basic) +def _(expr, assumptions): + if expr.is_number: + notnegative = fuzzy_not(_NegativePredicate_number(expr, assumptions)) + if notnegative: + return ask(Q.real(expr), assumptions) + else: + return notnegative + +@NonNegativePredicate.register(Expr) +def _(expr, assumptions): + ret = expr.is_nonnegative + if ret is None: + raise MDNotImplementedError + return ret + + +# NonZeroPredicate + +@NonZeroPredicate.register(Expr) +def _(expr, assumptions): + ret = expr.is_nonzero + if ret is None: + raise MDNotImplementedError + return ret + +@NonZeroPredicate.register(Basic) +def _(expr, assumptions): + if ask(Q.real(expr)) is False: + return False + if expr.is_number: + # if there are no symbols just evalf + i = expr.evalf(2) + def nonz(i): + if i._prec != 1: + return i != 0 + return fuzzy_or(nonz(i) for i in i.as_real_imag()) + +@NonZeroPredicate.register(Add) +def _(expr, assumptions): + if all(ask(Q.positive(x), assumptions) for x in expr.args) \ + or all(ask(Q.negative(x), assumptions) for x in expr.args): + return True + +@NonZeroPredicate.register(Mul) +def _(expr, assumptions): + for arg in expr.args: + result = ask(Q.nonzero(arg), assumptions) + if result: + continue + return result + return True + +@NonZeroPredicate.register(Pow) +def _(expr, assumptions): + return ask(Q.nonzero(expr.base), assumptions) + +@NonZeroPredicate.register(Abs) +def _(expr, assumptions): + return ask(Q.nonzero(expr.args[0]), assumptions) + +@NonZeroPredicate.register(NaN) +def _(expr, assumptions): + return None + + +# ZeroPredicate + +@ZeroPredicate.register(Expr) +def _(expr, assumptions): + ret = expr.is_zero + if ret is None: + raise MDNotImplementedError + return ret + +@ZeroPredicate.register(Basic) +def _(expr, assumptions): + return fuzzy_and([fuzzy_not(ask(Q.nonzero(expr), assumptions)), + ask(Q.real(expr), assumptions)]) + +@ZeroPredicate.register(Mul) +def _(expr, assumptions): + # TODO: This should be deducible from the nonzero handler + return fuzzy_or(ask(Q.zero(arg), assumptions) for arg in expr.args) + + +# NonPositivePredicate + +@NonPositivePredicate.register(Expr) +def _(expr, assumptions): + ret = expr.is_nonpositive + if ret is None: + raise MDNotImplementedError + return ret + +@NonPositivePredicate.register(Basic) +def _(expr, assumptions): + if expr.is_number: + notpositive = fuzzy_not(_PositivePredicate_number(expr, assumptions)) + if notpositive: + return ask(Q.real(expr), assumptions) + else: + return notpositive + + +# PositivePredicate + +def _PositivePredicate_number(expr, assumptions): + r, i = expr.as_real_imag() + # If the imaginary part can symbolically be shown to be zero then + # we just evaluate the real part; otherwise we evaluate the imaginary + # part to see if it actually evaluates to zero and if it does then + # we make the comparison between the real part and zero. + if not i: + r = r.evalf(2) + if r._prec != 1: + return r > 0 + else: + i = i.evalf(2) + if i._prec != 1: + if i != 0: + return False + r = r.evalf(2) + if r._prec != 1: + return r > 0 + +@PositivePredicate.register(Expr) +def _(expr, assumptions): + ret = expr.is_positive + if ret is None: + raise MDNotImplementedError + return ret + +@PositivePredicate.register(Basic) +def _(expr, assumptions): + if expr.is_number: + return _PositivePredicate_number(expr, assumptions) + +@PositivePredicate.register(Mul) +def _(expr, assumptions): + if expr.is_number: + return _PositivePredicate_number(expr, assumptions) + result = True + for arg in expr.args: + if ask(Q.positive(arg), assumptions): + continue + elif ask(Q.negative(arg), assumptions): + result = result ^ True + else: + return + return result + +@PositivePredicate.register(Add) +def _(expr, assumptions): + if expr.is_number: + return _PositivePredicate_number(expr, assumptions) + + r = ask(Q.real(expr), assumptions) + if r is not True: + return r + + nonneg = 0 + for arg in expr.args: + if ask(Q.positive(arg), assumptions) is not True: + if ask(Q.negative(arg), assumptions) is False: + nonneg += 1 + else: + break + else: + if nonneg < len(expr.args): + return True + +@PositivePredicate.register(Pow) +def _(expr, assumptions): + if expr.base == E: + if ask(Q.real(expr.exp), assumptions): + return True + if ask(Q.imaginary(expr.exp), assumptions): + return ask(Q.even(expr.exp/(I*pi)), assumptions) + return + + if expr.is_number: + return _PositivePredicate_number(expr, assumptions) + if ask(Q.positive(expr.base), assumptions): + if ask(Q.real(expr.exp), assumptions): + return True + if ask(Q.negative(expr.base), assumptions): + if ask(Q.even(expr.exp), assumptions): + return True + if ask(Q.odd(expr.exp), assumptions): + return False + +@PositivePredicate.register(exp) +def _(expr, assumptions): + if ask(Q.real(expr.exp), assumptions): + return True + if ask(Q.imaginary(expr.exp), assumptions): + return ask(Q.even(expr.exp/(I*pi)), assumptions) + +@PositivePredicate.register(log) +def _(expr, assumptions): + r = ask(Q.real(expr.args[0]), assumptions) + if r is not True: + return r + if ask(Q.positive(expr.args[0] - 1), assumptions): + return True + if ask(Q.negative(expr.args[0] - 1), assumptions): + return False + +@PositivePredicate.register(factorial) +def _(expr, assumptions): + x = expr.args[0] + if ask(Q.integer(x) & Q.positive(x), assumptions): + return True + +@PositivePredicate.register(ImaginaryUnit) +def _(expr, assumptions): + return False + +@PositivePredicate.register(Abs) +def _(expr, assumptions): + return ask(Q.nonzero(expr), assumptions) + +@PositivePredicate.register(Trace) +def _(expr, assumptions): + if ask(Q.positive_definite(expr.arg), assumptions): + return True + +@PositivePredicate.register(Determinant) +def _(expr, assumptions): + if ask(Q.positive_definite(expr.arg), assumptions): + return True + +@PositivePredicate.register(MatrixElement) +def _(expr, assumptions): + if (expr.i == expr.j + and ask(Q.positive_definite(expr.parent), assumptions)): + return True + +@PositivePredicate.register(atan) +def _(expr, assumptions): + return ask(Q.positive(expr.args[0]), assumptions) + +@PositivePredicate.register(asin) +def _(expr, assumptions): + x = expr.args[0] + if ask(Q.positive(x) & Q.nonpositive(x - 1), assumptions): + return True + if ask(Q.negative(x) & Q.nonnegative(x + 1), assumptions): + return False + +@PositivePredicate.register(acos) +def _(expr, assumptions): + x = expr.args[0] + if ask(Q.nonpositive(x - 1) & Q.nonnegative(x + 1), assumptions): + return True + +@PositivePredicate.register(acot) +def _(expr, assumptions): + return ask(Q.real(expr.args[0]), assumptions) + +@PositivePredicate.register(NaN) +def _(expr, assumptions): + return None + + +# ExtendedNegativePredicate + +@ExtendedNegativePredicate.register(object) +def _(expr, assumptions): + return ask(Q.negative(expr) | Q.negative_infinite(expr), assumptions) + + +# ExtendedPositivePredicate + +@ExtendedPositivePredicate.register(object) +def _(expr, assumptions): + return ask(Q.positive(expr) | Q.positive_infinite(expr), assumptions) + + +# ExtendedNonZeroPredicate + +@ExtendedNonZeroPredicate.register(object) +def _(expr, assumptions): + return ask( + Q.negative_infinite(expr) | Q.negative(expr) | Q.positive(expr) | Q.positive_infinite(expr), + assumptions) + + +# ExtendedNonPositivePredicate + +@ExtendedNonPositivePredicate.register(object) +def _(expr, assumptions): + return ask( + Q.negative_infinite(expr) | Q.negative(expr) | Q.zero(expr), + assumptions) + + +# ExtendedNonNegativePredicate + +@ExtendedNonNegativePredicate.register(object) +def _(expr, assumptions): + return ask( + Q.zero(expr) | Q.positive(expr) | Q.positive_infinite(expr), + assumptions) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/handlers/sets.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/handlers/sets.py new file mode 100644 index 0000000000000000000000000000000000000000..7a13ed9bf99c5b0ffc4f32fd55cb60c2c15ab836 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/handlers/sets.py @@ -0,0 +1,816 @@ +""" +Handlers for predicates related to set membership: integer, rational, etc. +""" + +from sympy.assumptions import Q, ask +from sympy.core import Add, Basic, Expr, Mul, Pow, S +from sympy.core.numbers import (AlgebraicNumber, ComplexInfinity, Exp1, Float, + GoldenRatio, ImaginaryUnit, Infinity, Integer, NaN, NegativeInfinity, + Number, NumberSymbol, Pi, pi, Rational, TribonacciConstant, E) +from sympy.core.logic import fuzzy_bool +from sympy.functions import (Abs, acos, acot, asin, atan, cos, cot, exp, im, + log, re, sin, tan) +from sympy.core.numbers import I +from sympy.core.relational import Eq +from sympy.functions.elementary.complexes import conjugate +from sympy.matrices import Determinant, MatrixBase, Trace +from sympy.matrices.expressions.matexpr import MatrixElement + +from sympy.multipledispatch import MDNotImplementedError + +from .common import test_closed_group, ask_all, ask_any +from ..predicates.sets import (IntegerPredicate, RationalPredicate, + IrrationalPredicate, RealPredicate, ExtendedRealPredicate, + HermitianPredicate, ComplexPredicate, ImaginaryPredicate, + AntihermitianPredicate, AlgebraicPredicate) + + +# IntegerPredicate + +def _IntegerPredicate_number(expr, assumptions): + # helper function + try: + i = int(expr.round()) + if not (expr - i).equals(0): + raise TypeError + return True + except TypeError: + return False + +@IntegerPredicate.register_many(int, Integer) # type:ignore +def _(expr, assumptions): + return True + +@IntegerPredicate.register_many(Exp1, GoldenRatio, ImaginaryUnit, Infinity, + NegativeInfinity, Pi, Rational, TribonacciConstant) +def _(expr, assumptions): + return False + +@IntegerPredicate.register(Expr) +def _(expr, assumptions): + ret = expr.is_integer + if ret is None: + raise MDNotImplementedError + return ret + +@IntegerPredicate.register(Add) +def _(expr, assumptions): + """ + * Integer + Integer -> Integer + * Integer + !Integer -> !Integer + * !Integer + !Integer -> ? + """ + if expr.is_number: + return _IntegerPredicate_number(expr, assumptions) + return test_closed_group(expr, assumptions, Q.integer) + +@IntegerPredicate.register(Pow) +def _(expr,assumptions): + if expr.is_number: + return _IntegerPredicate_number(expr, assumptions) + if ask_all(~Q.zero(expr.base), Q.finite(expr.base), Q.zero(expr.exp), assumptions=assumptions): + return True + if ask_all(Q.integer(expr.base), Q.integer(expr.exp), assumptions=assumptions): + if ask_any(Q.positive(expr.exp), Q.nonnegative(expr.exp) & ~Q.zero(expr.base), Q.zero(expr.base-1), Q.zero(expr.base+1), assumptions=assumptions): + return True + +@IntegerPredicate.register(Mul) +def _(expr, assumptions): + """ + * Integer*Integer -> Integer + * Integer*Irrational -> !Integer + * Odd/Even -> !Integer + * Integer*Rational -> ? + """ + if expr.is_number: + return _IntegerPredicate_number(expr, assumptions) + _output = True + for arg in expr.args: + if not ask(Q.integer(arg), assumptions): + if arg.is_Rational: + if arg.q == 2: + return ask(Q.even(2*expr), assumptions) + if ~(arg.q & 1): + return None + elif ask(Q.irrational(arg), assumptions): + if _output: + _output = False + else: + return + else: + return + + return _output + +@IntegerPredicate.register(Abs) +def _(expr, assumptions): + if ask(Q.integer(expr.args[0]), assumptions): + return True + +@IntegerPredicate.register_many(Determinant, MatrixElement, Trace) +def _(expr, assumptions): + return ask(Q.integer_elements(expr.args[0]), assumptions) + + +# RationalPredicate + +@RationalPredicate.register(Rational) +def _(expr, assumptions): + return True + +@RationalPredicate.register(Float) +def _(expr, assumptions): + return None + +@RationalPredicate.register_many(Exp1, GoldenRatio, ImaginaryUnit, Infinity, + NegativeInfinity, Pi, TribonacciConstant) +def _(expr, assumptions): + return False + +@RationalPredicate.register(Expr) +def _(expr, assumptions): + ret = expr.is_rational + if ret is None: + raise MDNotImplementedError + return ret + +@RationalPredicate.register_many(Add, Mul) +def _(expr, assumptions): + """ + * Rational + Rational -> Rational + * Rational + !Rational -> !Rational + * !Rational + !Rational -> ? + """ + if expr.is_number: + if expr.as_real_imag()[1]: + return False + return test_closed_group(expr, assumptions, Q.rational) + +@RationalPredicate.register(Pow) +def _(expr, assumptions): + """ + * Rational ** Integer -> Rational + * Irrational ** Rational -> Irrational + * Rational ** Irrational -> ? + """ + if expr.base == E: + x = expr.exp + if ask(Q.rational(x), assumptions): + return ask(Q.zero(x), assumptions) + return + + is_exp_integer = ask(Q.integer(expr.exp), assumptions) + if is_exp_integer: + is_base_rational = ask(Q.rational(expr.base),assumptions) + if is_base_rational: + is_base_zero = ask(Q.zero(expr.base),assumptions) + if is_base_zero is False: + return True + if is_base_zero and ask(Q.positive(expr.exp)): + return True + if ask(Q.algebraic(expr.base),assumptions) is False: + return ask(Q.zero(expr.exp), assumptions) + if ask(Q.irrational(expr.base),assumptions) and ask(Q.eq(expr.exp,-1)): + return False + return + elif ask(Q.rational(expr.exp), assumptions): + if ask(Q.prime(expr.base), assumptions) and is_exp_integer is False: + return False + if ask(Q.zero(expr.base)) and ask(Q.positive(expr.exp)): + return True + if ask(Q.eq(expr.base,1)): + return True + +@RationalPredicate.register_many(asin, atan, cos, sin, tan) +def _(expr, assumptions): + x = expr.args[0] + if ask(Q.rational(x), assumptions): + return ask(~Q.nonzero(x), assumptions) + +@RationalPredicate.register(exp) +def _(expr, assumptions): + x = expr.exp + if ask(Q.rational(x), assumptions): + return ask(~Q.nonzero(x), assumptions) + +@RationalPredicate.register_many(acot, cot) +def _(expr, assumptions): + x = expr.args[0] + if ask(Q.rational(x), assumptions): + return False + +@RationalPredicate.register_many(acos, log) +def _(expr, assumptions): + x = expr.args[0] + if ask(Q.rational(x), assumptions): + return ask(~Q.nonzero(x - 1), assumptions) + + +# IrrationalPredicate + +@IrrationalPredicate.register(Expr) +def _(expr, assumptions): + ret = expr.is_irrational + if ret is None: + raise MDNotImplementedError + return ret + +@IrrationalPredicate.register(Basic) +def _(expr, assumptions): + _real = ask(Q.real(expr), assumptions) + if _real: + _rational = ask(Q.rational(expr), assumptions) + if _rational is None: + return None + return not _rational + else: + return _real + + +# RealPredicate + +def _RealPredicate_number(expr, assumptions): + # let as_real_imag() work first since the expression may + # be simpler to evaluate + i = expr.as_real_imag()[1].evalf(2) + if i._prec != 1: + return not i + # allow None to be returned if we couldn't show for sure + # that i was 0 + +@RealPredicate.register_many(Abs, Exp1, Float, GoldenRatio, im, Pi, Rational, + re, TribonacciConstant) +def _(expr, assumptions): + return True + +@RealPredicate.register_many(ImaginaryUnit, Infinity, NegativeInfinity) +def _(expr, assumptions): + return False + +@RealPredicate.register(Expr) +def _(expr, assumptions): + ret = expr.is_real + if ret is None: + raise MDNotImplementedError + return ret + +@RealPredicate.register(Add) +def _(expr, assumptions): + """ + * Real + Real -> Real + * Real + (Complex & !Real) -> !Real + """ + if expr.is_number: + return _RealPredicate_number(expr, assumptions) + return test_closed_group(expr, assumptions, Q.real) + +@RealPredicate.register(Mul) +def _(expr, assumptions): + """ + * Real*Real -> Real + * Real*Imaginary -> !Real + * Imaginary*Imaginary -> Real + """ + if expr.is_number: + return _RealPredicate_number(expr, assumptions) + result = True + for arg in expr.args: + if ask(Q.real(arg), assumptions): + pass + elif ask(Q.imaginary(arg), assumptions): + result = result ^ True + else: + break + else: + return result + +@RealPredicate.register(Pow) +def _(expr, assumptions): + """ + * Real**Integer -> Real + * Positive**Real -> Real + * Negative**Real -> ? + * Real**(Integer/Even) -> Real if base is nonnegative + * Real**(Integer/Odd) -> Real + * Imaginary**(Integer/Even) -> Real + * Imaginary**(Integer/Odd) -> not Real + * Imaginary**Real -> ? since Real could be 0 (giving real) + or 1 (giving imaginary) + * b**Imaginary -> Real if log(b) is imaginary and b != 0 + and exponent != integer multiple of + I*pi/log(b) + * Real**Real -> ? e.g. sqrt(-1) is imaginary and + sqrt(2) is not + """ + if expr.is_number: + return _RealPredicate_number(expr, assumptions) + + if expr.base == E: + return ask( + Q.integer(expr.exp/I/pi) | Q.real(expr.exp), assumptions + ) + + if expr.base.func == exp or (expr.base.is_Pow and expr.base.base == E): + if ask(Q.imaginary(expr.base.exp), assumptions): + if ask(Q.imaginary(expr.exp), assumptions): + return True + # If the i = (exp's arg)/(I*pi) is an integer or half-integer + # multiple of I*pi then 2*i will be an integer. In addition, + # exp(i*I*pi) = (-1)**i so the overall realness of the expr + # can be determined by replacing exp(i*I*pi) with (-1)**i. + i = expr.base.exp/I/pi + if ask(Q.integer(2*i), assumptions): + return ask(Q.real((S.NegativeOne**i)**expr.exp), assumptions) + return + + if ask(Q.imaginary(expr.base), assumptions): + if ask(Q.integer(expr.exp), assumptions): + odd = ask(Q.odd(expr.exp), assumptions) + if odd is not None: + return not odd + return + + if ask(Q.imaginary(expr.exp), assumptions): + imlog = ask(Q.imaginary(log(expr.base)), assumptions) + if imlog is not None: + # I**i -> real, log(I) is imag; + # (2*I)**i -> complex, log(2*I) is not imag + return imlog + + if ask(Q.real(expr.base), assumptions): + if ask(Q.real(expr.exp), assumptions): + if ask(Q.zero(expr.base), assumptions) is not False: + if ask(Q.positive(expr.exp), assumptions): + return True + return + if expr.exp.is_Rational and \ + ask(Q.even(expr.exp.q), assumptions): + return ask(Q.positive(expr.base), assumptions) + elif ask(Q.integer(expr.exp), assumptions): + return True + elif ask(Q.positive(expr.base), assumptions): + return True + +@RealPredicate.register_many(cos, sin) +def _(expr, assumptions): + if ask(Q.real(expr.args[0]), assumptions): + return True + +@RealPredicate.register(exp) +def _(expr, assumptions): + return ask( + Q.integer(expr.exp/I/pi) | Q.real(expr.exp), assumptions + ) + +@RealPredicate.register(log) +def _(expr, assumptions): + return ask(Q.positive(expr.args[0]), assumptions) + +@RealPredicate.register_many(Determinant, MatrixElement, Trace) +def _(expr, assumptions): + return ask(Q.real_elements(expr.args[0]), assumptions) + + +# ExtendedRealPredicate + +@ExtendedRealPredicate.register(object) +def _(expr, assumptions): + return ask(Q.negative_infinite(expr) + | Q.negative(expr) + | Q.zero(expr) + | Q.positive(expr) + | Q.positive_infinite(expr), + assumptions) + +@ExtendedRealPredicate.register_many(Infinity, NegativeInfinity) +def _(expr, assumptions): + return True + +@ExtendedRealPredicate.register_many(Add, Mul, Pow) # type:ignore +def _(expr, assumptions): + return test_closed_group(expr, assumptions, Q.extended_real) + + +# HermitianPredicate + +@HermitianPredicate.register(object) # type:ignore +def _(expr, assumptions): + if isinstance(expr, MatrixBase): + return None + return ask(Q.real(expr), assumptions) + +@HermitianPredicate.register(Add) # type:ignore +def _(expr, assumptions): + """ + * Hermitian + Hermitian -> Hermitian + * Hermitian + !Hermitian -> !Hermitian + """ + if expr.is_number: + raise MDNotImplementedError + return test_closed_group(expr, assumptions, Q.hermitian) + +@HermitianPredicate.register(Mul) # type:ignore +def _(expr, assumptions): + """ + As long as there is at most only one noncommutative term: + + * Hermitian*Hermitian -> Hermitian + * Hermitian*Antihermitian -> !Hermitian + * Antihermitian*Antihermitian -> Hermitian + """ + if expr.is_number: + raise MDNotImplementedError + nccount = 0 + result = True + for arg in expr.args: + if ask(Q.antihermitian(arg), assumptions): + result = result ^ True + elif not ask(Q.hermitian(arg), assumptions): + break + if ask(~Q.commutative(arg), assumptions): + nccount += 1 + if nccount > 1: + break + else: + return result + +@HermitianPredicate.register(Pow) # type:ignore +def _(expr, assumptions): + """ + * Hermitian**Integer -> Hermitian + """ + if expr.is_number: + raise MDNotImplementedError + if expr.base == E: + if ask(Q.hermitian(expr.exp), assumptions): + return True + raise MDNotImplementedError + if ask(Q.hermitian(expr.base), assumptions): + if ask(Q.integer(expr.exp), assumptions): + return True + raise MDNotImplementedError + +@HermitianPredicate.register_many(cos, sin) # type:ignore +def _(expr, assumptions): + if ask(Q.hermitian(expr.args[0]), assumptions): + return True + raise MDNotImplementedError + +@HermitianPredicate.register(exp) # type:ignore +def _(expr, assumptions): + if ask(Q.hermitian(expr.exp), assumptions): + return True + raise MDNotImplementedError + +@HermitianPredicate.register(MatrixBase) # type:ignore +def _(mat, assumptions): + rows, cols = mat.shape + ret_val = True + for i in range(rows): + for j in range(i, cols): + cond = fuzzy_bool(Eq(mat[i, j], conjugate(mat[j, i]))) + if cond is None: + ret_val = None + if cond == False: + return False + if ret_val is None: + raise MDNotImplementedError + return ret_val + + +# ComplexPredicate + +@ComplexPredicate.register_many(Abs, cos, exp, im, ImaginaryUnit, log, Number, # type:ignore + NumberSymbol, re, sin) +def _(expr, assumptions): + return True + +@ComplexPredicate.register_many(Infinity, NegativeInfinity) # type:ignore +def _(expr, assumptions): + return False + +@ComplexPredicate.register(Expr) # type:ignore +def _(expr, assumptions): + ret = expr.is_complex + if ret is None: + raise MDNotImplementedError + return ret + +@ComplexPredicate.register_many(Add, Mul) # type:ignore +def _(expr, assumptions): + return test_closed_group(expr, assumptions, Q.complex) + +@ComplexPredicate.register(Pow) # type:ignore +def _(expr, assumptions): + if expr.base == E: + return True + return test_closed_group(expr, assumptions, Q.complex) + +@ComplexPredicate.register_many(Determinant, MatrixElement, Trace) # type:ignore +def _(expr, assumptions): + return ask(Q.complex_elements(expr.args[0]), assumptions) + +@ComplexPredicate.register(NaN) # type:ignore +def _(expr, assumptions): + return None + + +# ImaginaryPredicate + +def _Imaginary_number(expr, assumptions): + # let as_real_imag() work first since the expression may + # be simpler to evaluate + r = expr.as_real_imag()[0].evalf(2) + if r._prec != 1: + return not r + # allow None to be returned if we couldn't show for sure + # that r was 0 + +@ImaginaryPredicate.register(ImaginaryUnit) # type:ignore +def _(expr, assumptions): + return True + +@ImaginaryPredicate.register(Expr) # type:ignore +def _(expr, assumptions): + ret = expr.is_imaginary + if ret is None: + raise MDNotImplementedError + return ret + +@ImaginaryPredicate.register(Add) # type:ignore +def _(expr, assumptions): + """ + * Imaginary + Imaginary -> Imaginary + * Imaginary + Complex -> ? + * Imaginary + Real -> !Imaginary + """ + if expr.is_number: + return _Imaginary_number(expr, assumptions) + + reals = 0 + for arg in expr.args: + if ask(Q.imaginary(arg), assumptions): + pass + elif ask(Q.real(arg), assumptions): + reals += 1 + else: + break + else: + if reals == 0: + return True + if reals in (1, len(expr.args)): + # two reals could sum 0 thus giving an imaginary + return False + +@ImaginaryPredicate.register(Mul) # type:ignore +def _(expr, assumptions): + """ + * Real*Imaginary -> Imaginary + * Imaginary*Imaginary -> Real + """ + if expr.is_number: + return _Imaginary_number(expr, assumptions) + result = False + reals = 0 + for arg in expr.args: + if ask(Q.imaginary(arg), assumptions): + result = result ^ True + elif not ask(Q.real(arg), assumptions): + break + else: + if reals == len(expr.args): + return False + return result + +@ImaginaryPredicate.register(Pow) # type:ignore +def _(expr, assumptions): + """ + * Imaginary**Odd -> Imaginary + * Imaginary**Even -> Real + * b**Imaginary -> !Imaginary if exponent is an integer + multiple of I*pi/log(b) + * Imaginary**Real -> ? + * Positive**Real -> Real + * Negative**Integer -> Real + * Negative**(Integer/2) -> Imaginary + * Negative**Real -> not Imaginary if exponent is not Rational + """ + if expr.is_number: + return _Imaginary_number(expr, assumptions) + + if expr.base == E: + a = expr.exp/I/pi + return ask(Q.integer(2*a) & ~Q.integer(a), assumptions) + + if expr.base.func == exp or (expr.base.is_Pow and expr.base.base == E): + if ask(Q.imaginary(expr.base.exp), assumptions): + if ask(Q.imaginary(expr.exp), assumptions): + return False + i = expr.base.exp/I/pi + if ask(Q.integer(2*i), assumptions): + return ask(Q.imaginary((S.NegativeOne**i)**expr.exp), assumptions) + + if ask(Q.imaginary(expr.base), assumptions): + if ask(Q.integer(expr.exp), assumptions): + odd = ask(Q.odd(expr.exp), assumptions) + if odd is not None: + return odd + return + + if ask(Q.imaginary(expr.exp), assumptions): + imlog = ask(Q.imaginary(log(expr.base)), assumptions) + if imlog is not None: + # I**i -> real; (2*I)**i -> complex ==> not imaginary + return False + + if ask(Q.real(expr.base) & Q.real(expr.exp), assumptions): + if ask(Q.positive(expr.base), assumptions): + return False + else: + rat = ask(Q.rational(expr.exp), assumptions) + if not rat: + return rat + if ask(Q.integer(expr.exp), assumptions): + return False + else: + half = ask(Q.integer(2*expr.exp), assumptions) + if half: + return ask(Q.negative(expr.base), assumptions) + return half + +@ImaginaryPredicate.register(log) # type:ignore +def _(expr, assumptions): + if ask(Q.real(expr.args[0]), assumptions): + if ask(Q.positive(expr.args[0]), assumptions): + return False + return + # XXX it should be enough to do + # return ask(Q.nonpositive(expr.args[0]), assumptions) + # but ask(Q.nonpositive(exp(x)), Q.imaginary(x)) -> None; + # it should return True since exp(x) will be either 0 or complex + if expr.args[0].func == exp or (expr.args[0].is_Pow and expr.args[0].base == E): + if expr.args[0].exp in [I, -I]: + return True + im = ask(Q.imaginary(expr.args[0]), assumptions) + if im is False: + return False + +@ImaginaryPredicate.register(exp) # type:ignore +def _(expr, assumptions): + a = expr.exp/I/pi + return ask(Q.integer(2*a) & ~Q.integer(a), assumptions) + +@ImaginaryPredicate.register_many(Number, NumberSymbol) # type:ignore +def _(expr, assumptions): + return not (expr.as_real_imag()[1] == 0) + +@ImaginaryPredicate.register(NaN) # type:ignore +def _(expr, assumptions): + return None + + +# AntihermitianPredicate + +@AntihermitianPredicate.register(object) # type:ignore +def _(expr, assumptions): + if isinstance(expr, MatrixBase): + return None + if ask(Q.zero(expr), assumptions): + return True + return ask(Q.imaginary(expr), assumptions) + +@AntihermitianPredicate.register(Add) # type:ignore +def _(expr, assumptions): + """ + * Antihermitian + Antihermitian -> Antihermitian + * Antihermitian + !Antihermitian -> !Antihermitian + """ + if expr.is_number: + raise MDNotImplementedError + return test_closed_group(expr, assumptions, Q.antihermitian) + +@AntihermitianPredicate.register(Mul) # type:ignore +def _(expr, assumptions): + """ + As long as there is at most only one noncommutative term: + + * Hermitian*Hermitian -> !Antihermitian + * Hermitian*Antihermitian -> Antihermitian + * Antihermitian*Antihermitian -> !Antihermitian + """ + if expr.is_number: + raise MDNotImplementedError + nccount = 0 + result = False + for arg in expr.args: + if ask(Q.antihermitian(arg), assumptions): + result = result ^ True + elif not ask(Q.hermitian(arg), assumptions): + break + if ask(~Q.commutative(arg), assumptions): + nccount += 1 + if nccount > 1: + break + else: + return result + +@AntihermitianPredicate.register(Pow) # type:ignore +def _(expr, assumptions): + """ + * Hermitian**Integer -> !Antihermitian + * Antihermitian**Even -> !Antihermitian + * Antihermitian**Odd -> Antihermitian + """ + if expr.is_number: + raise MDNotImplementedError + if ask(Q.hermitian(expr.base), assumptions): + if ask(Q.integer(expr.exp), assumptions): + return False + elif ask(Q.antihermitian(expr.base), assumptions): + if ask(Q.even(expr.exp), assumptions): + return False + elif ask(Q.odd(expr.exp), assumptions): + return True + raise MDNotImplementedError + +@AntihermitianPredicate.register(MatrixBase) # type:ignore +def _(mat, assumptions): + rows, cols = mat.shape + ret_val = True + for i in range(rows): + for j in range(i, cols): + cond = fuzzy_bool(Eq(mat[i, j], -conjugate(mat[j, i]))) + if cond is None: + ret_val = None + if cond == False: + return False + if ret_val is None: + raise MDNotImplementedError + return ret_val + + +# AlgebraicPredicate + +@AlgebraicPredicate.register_many(AlgebraicNumber, Float, GoldenRatio, # type:ignore + ImaginaryUnit, TribonacciConstant) +def _(expr, assumptions): + return True + +@AlgebraicPredicate.register_many(ComplexInfinity, Exp1, Infinity, # type:ignore + NegativeInfinity, Pi) +def _(expr, assumptions): + return False + +@AlgebraicPredicate.register_many(Add, Mul) # type:ignore +def _(expr, assumptions): + return test_closed_group(expr, assumptions, Q.algebraic) + +@AlgebraicPredicate.register(Pow) # type:ignore +def _(expr, assumptions): + if expr.base == E: + if ask(Q.algebraic(expr.exp), assumptions): + return ask(~Q.nonzero(expr.exp), assumptions) + return + if expr.base == pi: + if ask(Q.integer(expr.exp), assumptions) and ask(Q.positive(expr.exp), assumptions): + return False + return + exp_rational = ask(Q.rational(expr.exp), assumptions) + base_algebraic = ask(Q.algebraic(expr.base), assumptions) + exp_algebraic = ask(Q.algebraic(expr.exp),assumptions) + if base_algebraic and exp_algebraic: + if exp_rational: + return True + # Check based on the Gelfond-Schneider theorem: + # If the base is algebraic and not equal to 0 or 1, and the exponent + # is irrational,then the result is transcendental. + if ask(Q.ne(expr.base,0) & Q.ne(expr.base,1)) and exp_rational is False: + return False + +@AlgebraicPredicate.register(Rational) # type:ignore +def _(expr, assumptions): + return expr.q != 0 + +@AlgebraicPredicate.register_many(asin, atan, cos, sin, tan) # type:ignore +def _(expr, assumptions): + x = expr.args[0] + if ask(Q.algebraic(x), assumptions): + return ask(~Q.nonzero(x), assumptions) + +@AlgebraicPredicate.register(exp) # type:ignore +def _(expr, assumptions): + x = expr.exp + if ask(Q.algebraic(x), assumptions): + return ask(~Q.nonzero(x), assumptions) + +@AlgebraicPredicate.register_many(acot, cot) # type:ignore +def _(expr, assumptions): + x = expr.args[0] + if ask(Q.algebraic(x), assumptions): + return False + +@AlgebraicPredicate.register_many(acos, log) # type:ignore +def _(expr, assumptions): + x = expr.args[0] + if ask(Q.algebraic(x), assumptions): + return ask(~Q.nonzero(x - 1), assumptions) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/predicates/__init__.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/predicates/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..8e294544bfdce13633ecff762ff42861aa12719f --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/predicates/__init__.py @@ -0,0 +1,5 @@ +""" +Module to implement predicate classes. + +Class of every predicate registered to ``Q`` is defined here. +""" diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/predicates/__pycache__/__init__.cpython-312.pyc b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/predicates/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 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0000000000000000000000000000000000000000..5b5c809160c259a1b4f4fd15c70379f3f41722d1 Binary files /dev/null and b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/predicates/__pycache__/sets.cpython-312.pyc differ diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/predicates/calculus.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/predicates/calculus.py new file mode 100644 index 0000000000000000000000000000000000000000..f300703788683c07649ee3a0afd6e9d4eabd4567 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/predicates/calculus.py @@ -0,0 +1,82 @@ +from sympy.assumptions import Predicate +from sympy.multipledispatch import Dispatcher + +class FinitePredicate(Predicate): + """ + Finite number predicate. + + Explanation + =========== + + ``Q.finite(x)`` is true if ``x`` is a number but neither an infinity + nor a ``NaN``. In other words, ``ask(Q.finite(x))`` is true for all + numerical ``x`` having a bounded absolute value. + + Examples + ======== + + >>> from sympy import Q, ask, S, oo, I, zoo + >>> from sympy.abc import x + >>> ask(Q.finite(oo)) + False + >>> ask(Q.finite(-oo)) + False + >>> ask(Q.finite(zoo)) + False + >>> ask(Q.finite(1)) + True + >>> ask(Q.finite(2 + 3*I)) + True + >>> ask(Q.finite(x), Q.positive(x)) + True + >>> print(ask(Q.finite(S.NaN))) + None + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Finite + + """ + name = 'finite' + handler = Dispatcher( + "FiniteHandler", + doc=("Handler for Q.finite. Test that an expression is bounded respect" + " to all its variables.") + ) + + +class InfinitePredicate(Predicate): + """ + Infinite number predicate. + + ``Q.infinite(x)`` is true iff the absolute value of ``x`` is + infinity. + + """ + # TODO: Add examples + name = 'infinite' + handler = Dispatcher( + "InfiniteHandler", + doc="""Handler for Q.infinite key.""" + ) + + +class PositiveInfinitePredicate(Predicate): + """ + Positive infinity predicate. + + ``Q.positive_infinite(x)`` is true iff ``x`` is positive infinity ``oo``. + """ + name = 'positive_infinite' + handler = Dispatcher("PositiveInfiniteHandler") + + +class NegativeInfinitePredicate(Predicate): + """ + Negative infinity predicate. + + ``Q.negative_infinite(x)`` is true iff ``x`` is negative infinity ``-oo``. + """ + name = 'negative_infinite' + handler = Dispatcher("NegativeInfiniteHandler") diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/predicates/common.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/predicates/common.py new file mode 100644 index 0000000000000000000000000000000000000000..a53892747131b03636abeb8f563c4f76cf3e281e --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/predicates/common.py @@ -0,0 +1,81 @@ +from sympy.assumptions import Predicate, AppliedPredicate, Q +from sympy.core.relational import Eq, Ne, Gt, Lt, Ge, Le +from sympy.multipledispatch import Dispatcher + + +class CommutativePredicate(Predicate): + """ + Commutative predicate. + + Explanation + =========== + + ``ask(Q.commutative(x))`` is true iff ``x`` commutes with any other + object with respect to multiplication operation. + + """ + # TODO: Add examples + name = 'commutative' + handler = Dispatcher("CommutativeHandler", doc="Handler for key 'commutative'.") + + +binrelpreds = {Eq: Q.eq, Ne: Q.ne, Gt: Q.gt, Lt: Q.lt, Ge: Q.ge, Le: Q.le} + +class IsTruePredicate(Predicate): + """ + Generic predicate. + + Explanation + =========== + + ``ask(Q.is_true(x))`` is true iff ``x`` is true. This only makes + sense if ``x`` is a boolean object. + + Examples + ======== + + >>> from sympy import ask, Q + >>> from sympy.abc import x, y + >>> ask(Q.is_true(True)) + True + + Wrapping another applied predicate just returns the applied predicate. + + >>> Q.is_true(Q.even(x)) + Q.even(x) + + Wrapping binary relation classes in SymPy core returns applied binary + relational predicates. + + >>> from sympy import Eq, Gt + >>> Q.is_true(Eq(x, y)) + Q.eq(x, y) + >>> Q.is_true(Gt(x, y)) + Q.gt(x, y) + + Notes + ===== + + This class is designed to wrap the boolean objects so that they can + behave as if they are applied predicates. Consequently, wrapping another + applied predicate is unnecessary and thus it just returns the argument. + Also, binary relation classes in SymPy core have binary predicates to + represent themselves and thus wrapping them with ``Q.is_true`` converts them + to these applied predicates. + + """ + name = 'is_true' + handler = Dispatcher( + "IsTrueHandler", + doc="Wrapper allowing to query the truth value of a boolean expression." + ) + + def __call__(self, arg): + # No need to wrap another predicate + if isinstance(arg, AppliedPredicate): + return arg + # Convert relational predicates instead of wrapping them + if getattr(arg, "is_Relational", False): + pred = binrelpreds[type(arg)] + return pred(*arg.args) + return super().__call__(arg) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/predicates/matrices.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/predicates/matrices.py new file mode 100644 index 0000000000000000000000000000000000000000..151e78c4ff345800e1d2f17973fb0591b8d379d2 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/predicates/matrices.py @@ -0,0 +1,511 @@ +from sympy.assumptions import Predicate +from sympy.multipledispatch import Dispatcher + +class SquarePredicate(Predicate): + """ + Square matrix predicate. + + Explanation + =========== + + ``Q.square(x)`` is true iff ``x`` is a square matrix. A square matrix + is a matrix with the same number of rows and columns. + + Examples + ======== + + >>> from sympy import Q, ask, MatrixSymbol, ZeroMatrix, Identity + >>> X = MatrixSymbol('X', 2, 2) + >>> Y = MatrixSymbol('X', 2, 3) + >>> ask(Q.square(X)) + True + >>> ask(Q.square(Y)) + False + >>> ask(Q.square(ZeroMatrix(3, 3))) + True + >>> ask(Q.square(Identity(3))) + True + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Square_matrix + + """ + name = 'square' + handler = Dispatcher("SquareHandler", doc="Handler for Q.square.") + + +class SymmetricPredicate(Predicate): + """ + Symmetric matrix predicate. + + Explanation + =========== + + ``Q.symmetric(x)`` is true iff ``x`` is a square matrix and is equal to + its transpose. Every square diagonal matrix is a symmetric matrix. + + Examples + ======== + + >>> from sympy import Q, ask, MatrixSymbol + >>> X = MatrixSymbol('X', 2, 2) + >>> Y = MatrixSymbol('Y', 2, 3) + >>> Z = MatrixSymbol('Z', 2, 2) + >>> ask(Q.symmetric(X*Z), Q.symmetric(X) & Q.symmetric(Z)) + True + >>> ask(Q.symmetric(X + Z), Q.symmetric(X) & Q.symmetric(Z)) + True + >>> ask(Q.symmetric(Y)) + False + + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Symmetric_matrix + + """ + # TODO: Add handlers to make these keys work with + # actual matrices and add more examples in the docstring. + name = 'symmetric' + handler = Dispatcher("SymmetricHandler", doc="Handler for Q.symmetric.") + + +class InvertiblePredicate(Predicate): + """ + Invertible matrix predicate. + + Explanation + =========== + + ``Q.invertible(x)`` is true iff ``x`` is an invertible matrix. + A square matrix is called invertible only if its determinant is 0. + + Examples + ======== + + >>> from sympy import Q, ask, MatrixSymbol + >>> X = MatrixSymbol('X', 2, 2) + >>> Y = MatrixSymbol('Y', 2, 3) + >>> Z = MatrixSymbol('Z', 2, 2) + >>> ask(Q.invertible(X*Y), Q.invertible(X)) + False + >>> ask(Q.invertible(X*Z), Q.invertible(X) & Q.invertible(Z)) + True + >>> ask(Q.invertible(X), Q.fullrank(X) & Q.square(X)) + True + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Invertible_matrix + + """ + name = 'invertible' + handler = Dispatcher("InvertibleHandler", doc="Handler for Q.invertible.") + + +class OrthogonalPredicate(Predicate): + """ + Orthogonal matrix predicate. + + Explanation + =========== + + ``Q.orthogonal(x)`` is true iff ``x`` is an orthogonal matrix. + A square matrix ``M`` is an orthogonal matrix if it satisfies + ``M^TM = MM^T = I`` where ``M^T`` is the transpose matrix of + ``M`` and ``I`` is an identity matrix. Note that an orthogonal + matrix is necessarily invertible. + + Examples + ======== + + >>> from sympy import Q, ask, MatrixSymbol, Identity + >>> X = MatrixSymbol('X', 2, 2) + >>> Y = MatrixSymbol('Y', 2, 3) + >>> Z = MatrixSymbol('Z', 2, 2) + >>> ask(Q.orthogonal(Y)) + False + >>> ask(Q.orthogonal(X*Z*X), Q.orthogonal(X) & Q.orthogonal(Z)) + True + >>> ask(Q.orthogonal(Identity(3))) + True + >>> ask(Q.invertible(X), Q.orthogonal(X)) + True + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Orthogonal_matrix + + """ + name = 'orthogonal' + handler = Dispatcher("OrthogonalHandler", doc="Handler for key 'orthogonal'.") + + +class UnitaryPredicate(Predicate): + """ + Unitary matrix predicate. + + Explanation + =========== + + ``Q.unitary(x)`` is true iff ``x`` is a unitary matrix. + Unitary matrix is an analogue to orthogonal matrix. A square + matrix ``M`` with complex elements is unitary if :math:``M^TM = MM^T= I`` + where :math:``M^T`` is the conjugate transpose matrix of ``M``. + + Examples + ======== + + >>> from sympy import Q, ask, MatrixSymbol, Identity + >>> X = MatrixSymbol('X', 2, 2) + >>> Y = MatrixSymbol('Y', 2, 3) + >>> Z = MatrixSymbol('Z', 2, 2) + >>> ask(Q.unitary(Y)) + False + >>> ask(Q.unitary(X*Z*X), Q.unitary(X) & Q.unitary(Z)) + True + >>> ask(Q.unitary(Identity(3))) + True + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Unitary_matrix + + """ + name = 'unitary' + handler = Dispatcher("UnitaryHandler", doc="Handler for key 'unitary'.") + + +class FullRankPredicate(Predicate): + """ + Fullrank matrix predicate. + + Explanation + =========== + + ``Q.fullrank(x)`` is true iff ``x`` is a full rank matrix. + A matrix is full rank if all rows and columns of the matrix + are linearly independent. A square matrix is full rank iff + its determinant is nonzero. + + Examples + ======== + + >>> from sympy import Q, ask, MatrixSymbol, ZeroMatrix, Identity + >>> X = MatrixSymbol('X', 2, 2) + >>> ask(Q.fullrank(X.T), Q.fullrank(X)) + True + >>> ask(Q.fullrank(ZeroMatrix(3, 3))) + False + >>> ask(Q.fullrank(Identity(3))) + True + + """ + name = 'fullrank' + handler = Dispatcher("FullRankHandler", doc="Handler for key 'fullrank'.") + + +class PositiveDefinitePredicate(Predicate): + r""" + Positive definite matrix predicate. + + Explanation + =========== + + If $M$ is a :math:`n \times n` symmetric real matrix, it is said + to be positive definite if :math:`Z^TMZ` is positive for + every non-zero column vector $Z$ of $n$ real numbers. + + Examples + ======== + + >>> from sympy import Q, ask, MatrixSymbol, Identity + >>> X = MatrixSymbol('X', 2, 2) + >>> Y = MatrixSymbol('Y', 2, 3) + >>> Z = MatrixSymbol('Z', 2, 2) + >>> ask(Q.positive_definite(Y)) + False + >>> ask(Q.positive_definite(Identity(3))) + True + >>> ask(Q.positive_definite(X + Z), Q.positive_definite(X) & + ... Q.positive_definite(Z)) + True + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Positive-definite_matrix + + """ + name = "positive_definite" + handler = Dispatcher("PositiveDefiniteHandler", doc="Handler for key 'positive_definite'.") + + +class UpperTriangularPredicate(Predicate): + """ + Upper triangular matrix predicate. + + Explanation + =========== + + A matrix $M$ is called upper triangular matrix if :math:`M_{ij}=0` + for :math:`i>> from sympy import Q, ask, ZeroMatrix, Identity + >>> ask(Q.upper_triangular(Identity(3))) + True + >>> ask(Q.upper_triangular(ZeroMatrix(3, 3))) + True + + References + ========== + + .. [1] https://mathworld.wolfram.com/UpperTriangularMatrix.html + + """ + name = "upper_triangular" + handler = Dispatcher("UpperTriangularHandler", doc="Handler for key 'upper_triangular'.") + + +class LowerTriangularPredicate(Predicate): + """ + Lower triangular matrix predicate. + + Explanation + =========== + + A matrix $M$ is called lower triangular matrix if :math:`M_{ij}=0` + for :math:`i>j`. + + Examples + ======== + + >>> from sympy import Q, ask, ZeroMatrix, Identity + >>> ask(Q.lower_triangular(Identity(3))) + True + >>> ask(Q.lower_triangular(ZeroMatrix(3, 3))) + True + + References + ========== + + .. [1] https://mathworld.wolfram.com/LowerTriangularMatrix.html + + """ + name = "lower_triangular" + handler = Dispatcher("LowerTriangularHandler", doc="Handler for key 'lower_triangular'.") + + +class DiagonalPredicate(Predicate): + """ + Diagonal matrix predicate. + + Explanation + =========== + + ``Q.diagonal(x)`` is true iff ``x`` is a diagonal matrix. A diagonal + matrix is a matrix in which the entries outside the main diagonal + are all zero. + + Examples + ======== + + >>> from sympy import Q, ask, MatrixSymbol, ZeroMatrix + >>> X = MatrixSymbol('X', 2, 2) + >>> ask(Q.diagonal(ZeroMatrix(3, 3))) + True + >>> ask(Q.diagonal(X), Q.lower_triangular(X) & + ... Q.upper_triangular(X)) + True + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Diagonal_matrix + + """ + name = "diagonal" + handler = Dispatcher("DiagonalHandler", doc="Handler for key 'diagonal'.") + + +class IntegerElementsPredicate(Predicate): + """ + Integer elements matrix predicate. + + Explanation + =========== + + ``Q.integer_elements(x)`` is true iff all the elements of ``x`` + are integers. + + Examples + ======== + + >>> from sympy import Q, ask, MatrixSymbol + >>> X = MatrixSymbol('X', 4, 4) + >>> ask(Q.integer(X[1, 2]), Q.integer_elements(X)) + True + + """ + name = "integer_elements" + handler = Dispatcher("IntegerElementsHandler", doc="Handler for key 'integer_elements'.") + + +class RealElementsPredicate(Predicate): + """ + Real elements matrix predicate. + + Explanation + =========== + + ``Q.real_elements(x)`` is true iff all the elements of ``x`` + are real numbers. + + Examples + ======== + + >>> from sympy import Q, ask, MatrixSymbol + >>> X = MatrixSymbol('X', 4, 4) + >>> ask(Q.real(X[1, 2]), Q.real_elements(X)) + True + + """ + name = "real_elements" + handler = Dispatcher("RealElementsHandler", doc="Handler for key 'real_elements'.") + + +class ComplexElementsPredicate(Predicate): + """ + Complex elements matrix predicate. + + Explanation + =========== + + ``Q.complex_elements(x)`` is true iff all the elements of ``x`` + are complex numbers. + + Examples + ======== + + >>> from sympy import Q, ask, MatrixSymbol + >>> X = MatrixSymbol('X', 4, 4) + >>> ask(Q.complex(X[1, 2]), Q.complex_elements(X)) + True + >>> ask(Q.complex_elements(X), Q.integer_elements(X)) + True + + """ + name = "complex_elements" + handler = Dispatcher("ComplexElementsHandler", doc="Handler for key 'complex_elements'.") + + +class SingularPredicate(Predicate): + """ + Singular matrix predicate. + + A matrix is singular iff the value of its determinant is 0. + + Examples + ======== + + >>> from sympy import Q, ask, MatrixSymbol + >>> X = MatrixSymbol('X', 4, 4) + >>> ask(Q.singular(X), Q.invertible(X)) + False + >>> ask(Q.singular(X), ~Q.invertible(X)) + True + + References + ========== + + .. [1] https://mathworld.wolfram.com/SingularMatrix.html + + """ + name = "singular" + handler = Dispatcher("SingularHandler", doc="Predicate fore key 'singular'.") + + +class NormalPredicate(Predicate): + """ + Normal matrix predicate. + + A matrix is normal if it commutes with its conjugate transpose. + + Examples + ======== + + >>> from sympy import Q, ask, MatrixSymbol + >>> X = MatrixSymbol('X', 4, 4) + >>> ask(Q.normal(X), Q.unitary(X)) + True + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Normal_matrix + + """ + name = "normal" + handler = Dispatcher("NormalHandler", doc="Predicate fore key 'normal'.") + + +class TriangularPredicate(Predicate): + """ + Triangular matrix predicate. + + Explanation + =========== + + ``Q.triangular(X)`` is true if ``X`` is one that is either lower + triangular or upper triangular. + + Examples + ======== + + >>> from sympy import Q, ask, MatrixSymbol + >>> X = MatrixSymbol('X', 4, 4) + >>> ask(Q.triangular(X), Q.upper_triangular(X)) + True + >>> ask(Q.triangular(X), Q.lower_triangular(X)) + True + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Triangular_matrix + + """ + name = "triangular" + handler = Dispatcher("TriangularHandler", doc="Predicate fore key 'triangular'.") + + +class UnitTriangularPredicate(Predicate): + """ + Unit triangular matrix predicate. + + Explanation + =========== + + A unit triangular matrix is a triangular matrix with 1s + on the diagonal. + + Examples + ======== + + >>> from sympy import Q, ask, MatrixSymbol + >>> X = MatrixSymbol('X', 4, 4) + >>> ask(Q.triangular(X), Q.unit_triangular(X)) + True + + """ + name = "unit_triangular" + handler = Dispatcher("UnitTriangularHandler", doc="Predicate fore key 'unit_triangular'.") diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/predicates/ntheory.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/predicates/ntheory.py new file mode 100644 index 0000000000000000000000000000000000000000..6c598e0ed1bd4a1170aa28044f9ae6de2fa1a1e0 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/predicates/ntheory.py @@ -0,0 +1,126 @@ +from sympy.assumptions import Predicate +from sympy.multipledispatch import Dispatcher + + +class PrimePredicate(Predicate): + """ + Prime number predicate. + + Explanation + =========== + + ``ask(Q.prime(x))`` is true iff ``x`` is a natural number greater + than 1 that has no positive divisors other than ``1`` and the + number itself. + + Examples + ======== + + >>> from sympy import Q, ask + >>> ask(Q.prime(0)) + False + >>> ask(Q.prime(1)) + False + >>> ask(Q.prime(2)) + True + >>> ask(Q.prime(20)) + False + >>> ask(Q.prime(-3)) + False + + """ + name = 'prime' + handler = Dispatcher( + "PrimeHandler", + doc=("Handler for key 'prime'. Test that an expression represents a prime" + " number. When the expression is an exact number, the result (when True)" + " is subject to the limitations of isprime() which is used to return the " + "result.") + ) + + +class CompositePredicate(Predicate): + """ + Composite number predicate. + + Explanation + =========== + + ``ask(Q.composite(x))`` is true iff ``x`` is a positive integer and has + at least one positive divisor other than ``1`` and the number itself. + + Examples + ======== + + >>> from sympy import Q, ask + >>> ask(Q.composite(0)) + False + >>> ask(Q.composite(1)) + False + >>> ask(Q.composite(2)) + False + >>> ask(Q.composite(20)) + True + + """ + name = 'composite' + handler = Dispatcher("CompositeHandler", doc="Handler for key 'composite'.") + + +class EvenPredicate(Predicate): + """ + Even number predicate. + + Explanation + =========== + + ``ask(Q.even(x))`` is true iff ``x`` belongs to the set of even + integers. + + Examples + ======== + + >>> from sympy import Q, ask, pi + >>> ask(Q.even(0)) + True + >>> ask(Q.even(2)) + True + >>> ask(Q.even(3)) + False + >>> ask(Q.even(pi)) + False + + """ + name = 'even' + handler = Dispatcher("EvenHandler", doc="Handler for key 'even'.") + + +class OddPredicate(Predicate): + """ + Odd number predicate. + + Explanation + =========== + + ``ask(Q.odd(x))`` is true iff ``x`` belongs to the set of odd numbers. + + Examples + ======== + + >>> from sympy import Q, ask, pi + >>> ask(Q.odd(0)) + False + >>> ask(Q.odd(2)) + False + >>> ask(Q.odd(3)) + True + >>> ask(Q.odd(pi)) + False + + """ + name = 'odd' + handler = Dispatcher( + "OddHandler", + doc=("Handler for key 'odd'. Test that an expression represents an odd" + " number.") + ) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/predicates/order.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/predicates/order.py new file mode 100644 index 0000000000000000000000000000000000000000..86bfb2ae49789efd5b0df99e2cfc63984e956dd0 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/predicates/order.py @@ -0,0 +1,390 @@ +from sympy.assumptions import Predicate +from sympy.multipledispatch import Dispatcher + + +class NegativePredicate(Predicate): + r""" + Negative number predicate. + + Explanation + =========== + + ``Q.negative(x)`` is true iff ``x`` is a real number and :math:`x < 0`, that is, + it is in the interval :math:`(-\infty, 0)`. Note in particular that negative + infinity is not negative. + + A few important facts about negative numbers: + + - Note that ``Q.nonnegative`` and ``~Q.negative`` are *not* the same + thing. ``~Q.negative(x)`` simply means that ``x`` is not negative, + whereas ``Q.nonnegative(x)`` means that ``x`` is real and not + negative, i.e., ``Q.nonnegative(x)`` is logically equivalent to + ``Q.zero(x) | Q.positive(x)``. So for example, ``~Q.negative(I)`` is + true, whereas ``Q.nonnegative(I)`` is false. + + - See the documentation of ``Q.real`` for more information about + related facts. + + Examples + ======== + + >>> from sympy import Q, ask, symbols, I + >>> x = symbols('x') + >>> ask(Q.negative(x), Q.real(x) & ~Q.positive(x) & ~Q.zero(x)) + True + >>> ask(Q.negative(-1)) + True + >>> ask(Q.nonnegative(I)) + False + >>> ask(~Q.negative(I)) + True + + """ + name = 'negative' + handler = Dispatcher( + "NegativeHandler", + doc=("Handler for Q.negative. Test that an expression is strictly less" + " than zero.") + ) + + +class NonNegativePredicate(Predicate): + """ + Nonnegative real number predicate. + + Explanation + =========== + + ``ask(Q.nonnegative(x))`` is true iff ``x`` belongs to the set of + positive numbers including zero. + + - Note that ``Q.nonnegative`` and ``~Q.negative`` are *not* the same + thing. ``~Q.negative(x)`` simply means that ``x`` is not negative, + whereas ``Q.nonnegative(x)`` means that ``x`` is real and not + negative, i.e., ``Q.nonnegative(x)`` is logically equivalent to + ``Q.zero(x) | Q.positive(x)``. So for example, ``~Q.negative(I)`` is + true, whereas ``Q.nonnegative(I)`` is false. + + Examples + ======== + + >>> from sympy import Q, ask, I + >>> ask(Q.nonnegative(1)) + True + >>> ask(Q.nonnegative(0)) + True + >>> ask(Q.nonnegative(-1)) + False + >>> ask(Q.nonnegative(I)) + False + >>> ask(Q.nonnegative(-I)) + False + + """ + name = 'nonnegative' + handler = Dispatcher( + "NonNegativeHandler", + doc=("Handler for Q.nonnegative.") + ) + + +class NonZeroPredicate(Predicate): + """ + Nonzero real number predicate. + + Explanation + =========== + + ``ask(Q.nonzero(x))`` is true iff ``x`` is real and ``x`` is not zero. Note in + particular that ``Q.nonzero(x)`` is false if ``x`` is not real. Use + ``~Q.zero(x)`` if you want the negation of being zero without any real + assumptions. + + A few important facts about nonzero numbers: + + - ``Q.nonzero`` is logically equivalent to ``Q.positive | Q.negative``. + + - See the documentation of ``Q.real`` for more information about + related facts. + + Examples + ======== + + >>> from sympy import Q, ask, symbols, I, oo + >>> x = symbols('x') + >>> print(ask(Q.nonzero(x), ~Q.zero(x))) + None + >>> ask(Q.nonzero(x), Q.positive(x)) + True + >>> ask(Q.nonzero(x), Q.zero(x)) + False + >>> ask(Q.nonzero(0)) + False + >>> ask(Q.nonzero(I)) + False + >>> ask(~Q.zero(I)) + True + >>> ask(Q.nonzero(oo)) + False + + """ + name = 'nonzero' + handler = Dispatcher( + "NonZeroHandler", + doc=("Handler for key 'nonzero'. Test that an expression is not identically" + " zero.") + ) + + +class ZeroPredicate(Predicate): + """ + Zero number predicate. + + Explanation + =========== + + ``ask(Q.zero(x))`` is true iff the value of ``x`` is zero. + + Examples + ======== + + >>> from sympy import ask, Q, oo, symbols + >>> x, y = symbols('x, y') + >>> ask(Q.zero(0)) + True + >>> ask(Q.zero(1/oo)) + True + >>> print(ask(Q.zero(0*oo))) + None + >>> ask(Q.zero(1)) + False + >>> ask(Q.zero(x*y), Q.zero(x) | Q.zero(y)) + True + + """ + name = 'zero' + handler = Dispatcher( + "ZeroHandler", + doc="Handler for key 'zero'." + ) + + +class NonPositivePredicate(Predicate): + """ + Nonpositive real number predicate. + + Explanation + =========== + + ``ask(Q.nonpositive(x))`` is true iff ``x`` belongs to the set of + negative numbers including zero. + + - Note that ``Q.nonpositive`` and ``~Q.positive`` are *not* the same + thing. ``~Q.positive(x)`` simply means that ``x`` is not positive, + whereas ``Q.nonpositive(x)`` means that ``x`` is real and not + positive, i.e., ``Q.nonpositive(x)`` is logically equivalent to + `Q.negative(x) | Q.zero(x)``. So for example, ``~Q.positive(I)`` is + true, whereas ``Q.nonpositive(I)`` is false. + + Examples + ======== + + >>> from sympy import Q, ask, I + + >>> ask(Q.nonpositive(-1)) + True + >>> ask(Q.nonpositive(0)) + True + >>> ask(Q.nonpositive(1)) + False + >>> ask(Q.nonpositive(I)) + False + >>> ask(Q.nonpositive(-I)) + False + + """ + name = 'nonpositive' + handler = Dispatcher( + "NonPositiveHandler", + doc="Handler for key 'nonpositive'." + ) + + +class PositivePredicate(Predicate): + r""" + Positive real number predicate. + + Explanation + =========== + + ``Q.positive(x)`` is true iff ``x`` is real and `x > 0`, that is if ``x`` + is in the interval `(0, \infty)`. In particular, infinity is not + positive. + + A few important facts about positive numbers: + + - Note that ``Q.nonpositive`` and ``~Q.positive`` are *not* the same + thing. ``~Q.positive(x)`` simply means that ``x`` is not positive, + whereas ``Q.nonpositive(x)`` means that ``x`` is real and not + positive, i.e., ``Q.nonpositive(x)`` is logically equivalent to + `Q.negative(x) | Q.zero(x)``. So for example, ``~Q.positive(I)`` is + true, whereas ``Q.nonpositive(I)`` is false. + + - See the documentation of ``Q.real`` for more information about + related facts. + + Examples + ======== + + >>> from sympy import Q, ask, symbols, I + >>> x = symbols('x') + >>> ask(Q.positive(x), Q.real(x) & ~Q.negative(x) & ~Q.zero(x)) + True + >>> ask(Q.positive(1)) + True + >>> ask(Q.nonpositive(I)) + False + >>> ask(~Q.positive(I)) + True + + """ + name = 'positive' + handler = Dispatcher( + "PositiveHandler", + doc=("Handler for key 'positive'. Test that an expression is strictly" + " greater than zero.") + ) + + +class ExtendedPositivePredicate(Predicate): + r""" + Positive extended real number predicate. + + Explanation + =========== + + ``Q.extended_positive(x)`` is true iff ``x`` is extended real and + `x > 0`, that is if ``x`` is in the interval `(0, \infty]`. + + Examples + ======== + + >>> from sympy import ask, I, oo, Q + >>> ask(Q.extended_positive(1)) + True + >>> ask(Q.extended_positive(oo)) + True + >>> ask(Q.extended_positive(I)) + False + + """ + name = 'extended_positive' + handler = Dispatcher("ExtendedPositiveHandler") + + +class ExtendedNegativePredicate(Predicate): + r""" + Negative extended real number predicate. + + Explanation + =========== + + ``Q.extended_negative(x)`` is true iff ``x`` is extended real and + `x < 0`, that is if ``x`` is in the interval `[-\infty, 0)`. + + Examples + ======== + + >>> from sympy import ask, I, oo, Q + >>> ask(Q.extended_negative(-1)) + True + >>> ask(Q.extended_negative(-oo)) + True + >>> ask(Q.extended_negative(-I)) + False + + """ + name = 'extended_negative' + handler = Dispatcher("ExtendedNegativeHandler") + + +class ExtendedNonZeroPredicate(Predicate): + """ + Nonzero extended real number predicate. + + Explanation + =========== + + ``ask(Q.extended_nonzero(x))`` is true iff ``x`` is extended real and + ``x`` is not zero. + + Examples + ======== + + >>> from sympy import ask, I, oo, Q + >>> ask(Q.extended_nonzero(-1)) + True + >>> ask(Q.extended_nonzero(oo)) + True + >>> ask(Q.extended_nonzero(I)) + False + + """ + name = 'extended_nonzero' + handler = Dispatcher("ExtendedNonZeroHandler") + + +class ExtendedNonPositivePredicate(Predicate): + """ + Nonpositive extended real number predicate. + + Explanation + =========== + + ``ask(Q.extended_nonpositive(x))`` is true iff ``x`` is extended real and + ``x`` is not positive. + + Examples + ======== + + >>> from sympy import ask, I, oo, Q + >>> ask(Q.extended_nonpositive(-1)) + True + >>> ask(Q.extended_nonpositive(oo)) + False + >>> ask(Q.extended_nonpositive(0)) + True + >>> ask(Q.extended_nonpositive(I)) + False + + """ + name = 'extended_nonpositive' + handler = Dispatcher("ExtendedNonPositiveHandler") + + +class ExtendedNonNegativePredicate(Predicate): + """ + Nonnegative extended real number predicate. + + Explanation + =========== + + ``ask(Q.extended_nonnegative(x))`` is true iff ``x`` is extended real and + ``x`` is not negative. + + Examples + ======== + + >>> from sympy import ask, I, oo, Q + >>> ask(Q.extended_nonnegative(-1)) + False + >>> ask(Q.extended_nonnegative(oo)) + True + >>> ask(Q.extended_nonnegative(0)) + True + >>> ask(Q.extended_nonnegative(I)) + False + + """ + name = 'extended_nonnegative' + handler = Dispatcher("ExtendedNonNegativeHandler") diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/predicates/sets.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/predicates/sets.py new file mode 100644 index 0000000000000000000000000000000000000000..18261cee2d9de65df14a31a56b2cd22328328ed0 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/predicates/sets.py @@ -0,0 +1,399 @@ +from sympy.assumptions import Predicate +from sympy.multipledispatch import Dispatcher + + +class IntegerPredicate(Predicate): + """ + Integer predicate. + + Explanation + =========== + + ``Q.integer(x)`` is true iff ``x`` belongs to the set of integer + numbers. + + Examples + ======== + + >>> from sympy import Q, ask, S + >>> ask(Q.integer(5)) + True + >>> ask(Q.integer(S(1)/2)) + False + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Integer + + """ + name = 'integer' + handler = Dispatcher( + "IntegerHandler", + doc=("Handler for Q.integer.\n\n" + "Test that an expression belongs to the field of integer numbers.") + ) + + +class NonIntegerPredicate(Predicate): + """ + Non-integer extended real predicate. + """ + name = 'noninteger' + handler = Dispatcher( + "NonIntegerHandler", + doc=("Handler for Q.noninteger.\n\n" + "Test that an expression is a non-integer extended real number.") + ) + + +class RationalPredicate(Predicate): + """ + Rational number predicate. + + Explanation + =========== + + ``Q.rational(x)`` is true iff ``x`` belongs to the set of + rational numbers. + + Examples + ======== + + >>> from sympy import ask, Q, pi, S + >>> ask(Q.rational(0)) + True + >>> ask(Q.rational(S(1)/2)) + True + >>> ask(Q.rational(pi)) + False + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Rational_number + + """ + name = 'rational' + handler = Dispatcher( + "RationalHandler", + doc=("Handler for Q.rational.\n\n" + "Test that an expression belongs to the field of rational numbers.") + ) + + +class IrrationalPredicate(Predicate): + """ + Irrational number predicate. + + Explanation + =========== + + ``Q.irrational(x)`` is true iff ``x`` is any real number that + cannot be expressed as a ratio of integers. + + Examples + ======== + + >>> from sympy import ask, Q, pi, S, I + >>> ask(Q.irrational(0)) + False + >>> ask(Q.irrational(S(1)/2)) + False + >>> ask(Q.irrational(pi)) + True + >>> ask(Q.irrational(I)) + False + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Irrational_number + + """ + name = 'irrational' + handler = Dispatcher( + "IrrationalHandler", + doc=("Handler for Q.irrational.\n\n" + "Test that an expression is irrational numbers.") + ) + + +class RealPredicate(Predicate): + r""" + Real number predicate. + + Explanation + =========== + + ``Q.real(x)`` is true iff ``x`` is a real number, i.e., it is in the + interval `(-\infty, \infty)`. Note that, in particular the + infinities are not real. Use ``Q.extended_real`` if you want to + consider those as well. + + A few important facts about reals: + + - Every real number is positive, negative, or zero. Furthermore, + because these sets are pairwise disjoint, each real number is + exactly one of those three. + + - Every real number is also complex. + + - Every real number is finite. + + - Every real number is either rational or irrational. + + - Every real number is either algebraic or transcendental. + + - The facts ``Q.negative``, ``Q.zero``, ``Q.positive``, + ``Q.nonnegative``, ``Q.nonpositive``, ``Q.nonzero``, + ``Q.integer``, ``Q.rational``, and ``Q.irrational`` all imply + ``Q.real``, as do all facts that imply those facts. + + - The facts ``Q.algebraic``, and ``Q.transcendental`` do not imply + ``Q.real``; they imply ``Q.complex``. An algebraic or + transcendental number may or may not be real. + + - The "non" facts (i.e., ``Q.nonnegative``, ``Q.nonzero``, + ``Q.nonpositive`` and ``Q.noninteger``) are not equivalent to + not the fact, but rather, not the fact *and* ``Q.real``. + For example, ``Q.nonnegative`` means ``~Q.negative & Q.real``. + So for example, ``I`` is not nonnegative, nonzero, or + nonpositive. + + Examples + ======== + + >>> from sympy import Q, ask, symbols + >>> x = symbols('x') + >>> ask(Q.real(x), Q.positive(x)) + True + >>> ask(Q.real(0)) + True + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Real_number + + """ + name = 'real' + handler = Dispatcher( + "RealHandler", + doc=("Handler for Q.real.\n\n" + "Test that an expression belongs to the field of real numbers.") + ) + + +class ExtendedRealPredicate(Predicate): + r""" + Extended real predicate. + + Explanation + =========== + + ``Q.extended_real(x)`` is true iff ``x`` is a real number or + `\{-\infty, \infty\}`. + + See documentation of ``Q.real`` for more information about related + facts. + + Examples + ======== + + >>> from sympy import ask, Q, oo, I + >>> ask(Q.extended_real(1)) + True + >>> ask(Q.extended_real(I)) + False + >>> ask(Q.extended_real(oo)) + True + + """ + name = 'extended_real' + handler = Dispatcher( + "ExtendedRealHandler", + doc=("Handler for Q.extended_real.\n\n" + "Test that an expression belongs to the field of extended real\n" + "numbers, that is real numbers union {Infinity, -Infinity}.") + ) + + +class HermitianPredicate(Predicate): + """ + Hermitian predicate. + + Explanation + =========== + + ``ask(Q.hermitian(x))`` is true iff ``x`` belongs to the set of + Hermitian operators. + + References + ========== + + .. [1] https://mathworld.wolfram.com/HermitianOperator.html + + """ + # TODO: Add examples + name = 'hermitian' + handler = Dispatcher( + "HermitianHandler", + doc=("Handler for Q.hermitian.\n\n" + "Test that an expression belongs to the field of Hermitian operators.") + ) + + +class ComplexPredicate(Predicate): + """ + Complex number predicate. + + Explanation + =========== + + ``Q.complex(x)`` is true iff ``x`` belongs to the set of complex + numbers. Note that every complex number is finite. + + Examples + ======== + + >>> from sympy import Q, Symbol, ask, I, oo + >>> x = Symbol('x') + >>> ask(Q.complex(0)) + True + >>> ask(Q.complex(2 + 3*I)) + True + >>> ask(Q.complex(oo)) + False + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Complex_number + + """ + name = 'complex' + handler = Dispatcher( + "ComplexHandler", + doc=("Handler for Q.complex.\n\n" + "Test that an expression belongs to the field of complex numbers.") + ) + + +class ImaginaryPredicate(Predicate): + """ + Imaginary number predicate. + + Explanation + =========== + + ``Q.imaginary(x)`` is true iff ``x`` can be written as a real + number multiplied by the imaginary unit ``I``. Please note that ``0`` + is not considered to be an imaginary number. + + Examples + ======== + + >>> from sympy import Q, ask, I + >>> ask(Q.imaginary(3*I)) + True + >>> ask(Q.imaginary(2 + 3*I)) + False + >>> ask(Q.imaginary(0)) + False + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Imaginary_number + + """ + name = 'imaginary' + handler = Dispatcher( + "ImaginaryHandler", + doc=("Handler for Q.imaginary.\n\n" + "Test that an expression belongs to the field of imaginary numbers,\n" + "that is, numbers in the form x*I, where x is real.") + ) + + +class AntihermitianPredicate(Predicate): + """ + Antihermitian predicate. + + Explanation + =========== + + ``Q.antihermitian(x)`` is true iff ``x`` belongs to the field of + antihermitian operators, i.e., operators in the form ``x*I``, where + ``x`` is Hermitian. + + References + ========== + + .. [1] https://mathworld.wolfram.com/HermitianOperator.html + + """ + # TODO: Add examples + name = 'antihermitian' + handler = Dispatcher( + "AntiHermitianHandler", + doc=("Handler for Q.antihermitian.\n\n" + "Test that an expression belongs to the field of anti-Hermitian\n" + "operators, that is, operators in the form x*I, where x is Hermitian.") + ) + + +class AlgebraicPredicate(Predicate): + r""" + Algebraic number predicate. + + Explanation + =========== + + ``Q.algebraic(x)`` is true iff ``x`` belongs to the set of + algebraic numbers. ``x`` is algebraic if there is some polynomial + in ``p(x)\in \mathbb\{Q\}[x]`` such that ``p(x) = 0``. + + Examples + ======== + + >>> from sympy import ask, Q, sqrt, I, pi + >>> ask(Q.algebraic(sqrt(2))) + True + >>> ask(Q.algebraic(I)) + True + >>> ask(Q.algebraic(pi)) + False + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Algebraic_number + + """ + name = 'algebraic' + AlgebraicHandler = Dispatcher( + "AlgebraicHandler", + doc="""Handler for Q.algebraic key.""" + ) + + +class TranscendentalPredicate(Predicate): + """ + Transcedental number predicate. + + Explanation + =========== + + ``Q.transcendental(x)`` is true iff ``x`` belongs to the set of + transcendental numbers. A transcendental number is a real + or complex number that is not algebraic. + + """ + # TODO: Add examples + name = 'transcendental' + handler = Dispatcher( + "Transcendental", + doc="""Handler for Q.transcendental key.""" + ) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/relation/__init__.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/relation/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..04f5ed37893766feec941614691a9177f14e4027 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/relation/__init__.py @@ -0,0 +1,13 @@ +""" +A module to implement finitary relations [1] as predicate. + +References +========== + +.. [1] https://en.wikipedia.org/wiki/Finitary_relation + +""" + +__all__ = ['BinaryRelation', 'AppliedBinaryRelation'] + +from .binrel import BinaryRelation, AppliedBinaryRelation diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/relation/__pycache__/__init__.cpython-312.pyc b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/relation/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..025d59c26eefb2a04eee73e88a05efb2699611b5 Binary files /dev/null and b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/relation/__pycache__/__init__.cpython-312.pyc differ diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/relation/__pycache__/binrel.cpython-312.pyc b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/relation/__pycache__/binrel.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..df82a44f3ed249604395c13116165e216d82ef61 Binary files /dev/null and b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/relation/__pycache__/binrel.cpython-312.pyc differ diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/relation/__pycache__/equality.cpython-312.pyc b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/relation/__pycache__/equality.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..c08468383c3030c4e3bf510933d2ca0bc5dbd169 Binary files /dev/null and b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/relation/__pycache__/equality.cpython-312.pyc differ diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/relation/binrel.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/relation/binrel.py new file mode 100644 index 0000000000000000000000000000000000000000..4b4eba05bcce40f1a05483a30136b6ccd891c42f --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/relation/binrel.py @@ -0,0 +1,212 @@ +""" +General binary relations. +""" +from typing import Optional + +from sympy.core.singleton import S +from sympy.assumptions import AppliedPredicate, ask, Predicate, Q # type: ignore +from sympy.core.kind import BooleanKind +from sympy.core.relational import Eq, Ne, Gt, Lt, Ge, Le +from sympy.logic.boolalg import conjuncts, Not + +__all__ = ["BinaryRelation", "AppliedBinaryRelation"] + + +class BinaryRelation(Predicate): + """ + Base class for all binary relational predicates. + + Explanation + =========== + + Binary relation takes two arguments and returns ``AppliedBinaryRelation`` + instance. To evaluate it to boolean value, use :obj:`~.ask()` or + :obj:`~.refine()` function. + + You can add support for new types by registering the handler to dispatcher. + See :obj:`~.Predicate()` for more information about predicate dispatching. + + Examples + ======== + + Applying and evaluating to boolean value: + + >>> from sympy import Q, ask, sin, cos + >>> from sympy.abc import x + >>> Q.eq(sin(x)**2+cos(x)**2, 1) + Q.eq(sin(x)**2 + cos(x)**2, 1) + >>> ask(_) + True + + You can define a new binary relation by subclassing and dispatching. + Here, we define a relation $R$ such that $x R y$ returns true if + $x = y + 1$. + + >>> from sympy import ask, Number, Q + >>> from sympy.assumptions import BinaryRelation + >>> class MyRel(BinaryRelation): + ... name = "R" + ... is_reflexive = False + >>> Q.R = MyRel() + >>> @Q.R.register(Number, Number) + ... def _(n1, n2, assumptions): + ... return ask(Q.zero(n1 - n2 - 1), assumptions) + >>> Q.R(2, 1) + Q.R(2, 1) + + Now, we can use ``ask()`` to evaluate it to boolean value. + + >>> ask(Q.R(2, 1)) + True + >>> ask(Q.R(1, 2)) + False + + ``Q.R`` returns ``False`` with minimum cost if two arguments have same + structure because it is antireflexive relation [1] by + ``is_reflexive = False``. + + >>> ask(Q.R(x, x)) + False + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Reflexive_relation + """ + + is_reflexive: Optional[bool] = None + is_symmetric: Optional[bool] = None + + def __call__(self, *args): + if not len(args) == 2: + raise ValueError("Binary relation takes two arguments, but got %s." % len(args)) + return AppliedBinaryRelation(self, *args) + + @property + def reversed(self): + if self.is_symmetric: + return self + return None + + @property + def negated(self): + return None + + def _compare_reflexive(self, lhs, rhs): + # quick exit for structurally same arguments + # do not check != here because it cannot catch the + # equivalent arguments with different structures. + + # reflexivity does not hold to NaN + if lhs is S.NaN or rhs is S.NaN: + return None + + reflexive = self.is_reflexive + if reflexive is None: + pass + elif reflexive and (lhs == rhs): + return True + elif not reflexive and (lhs == rhs): + return False + return None + + def eval(self, args, assumptions=True): + # quick exit for structurally same arguments + ret = self._compare_reflexive(*args) + if ret is not None: + return ret + + # don't perform simplify on args here. (done by AppliedBinaryRelation._eval_ask) + # evaluate by multipledispatch + lhs, rhs = args + ret = self.handler(lhs, rhs, assumptions=assumptions) + if ret is not None: + return ret + + # check reversed order if the relation is reflexive + if self.is_reflexive: + types = (type(lhs), type(rhs)) + if self.handler.dispatch(*types) is not self.handler.dispatch(*reversed(types)): + ret = self.handler(rhs, lhs, assumptions=assumptions) + + return ret + + +class AppliedBinaryRelation(AppliedPredicate): + """ + The class of expressions resulting from applying ``BinaryRelation`` + to the arguments. + + """ + + @property + def lhs(self): + """The left-hand side of the relation.""" + return self.arguments[0] + + @property + def rhs(self): + """The right-hand side of the relation.""" + return self.arguments[1] + + @property + def reversed(self): + """ + Try to return the relationship with sides reversed. + """ + revfunc = self.function.reversed + if revfunc is None: + return self + return revfunc(self.rhs, self.lhs) + + @property + def reversedsign(self): + """ + Try to return the relationship with signs reversed. + """ + revfunc = self.function.reversed + if revfunc is None: + return self + if not any(side.kind is BooleanKind for side in self.arguments): + return revfunc(-self.lhs, -self.rhs) + return self + + @property + def negated(self): + neg_rel = self.function.negated + if neg_rel is None: + return Not(self, evaluate=False) + return neg_rel(*self.arguments) + + def _eval_ask(self, assumptions): + conj_assumps = set() + binrelpreds = {Eq: Q.eq, Ne: Q.ne, Gt: Q.gt, Lt: Q.lt, Ge: Q.ge, Le: Q.le} + for a in conjuncts(assumptions): + if a.func in binrelpreds: + conj_assumps.add(binrelpreds[type(a)](*a.args)) + else: + conj_assumps.add(a) + + # After CNF in assumptions module is modified to take polyadic + # predicate, this will be removed + if any(rel in conj_assumps for rel in (self, self.reversed)): + return True + neg_rels = (self.negated, self.reversed.negated, Not(self, evaluate=False), + Not(self.reversed, evaluate=False)) + if any(rel in conj_assumps for rel in neg_rels): + return False + + # evaluation using multipledispatching + ret = self.function.eval(self.arguments, assumptions) + if ret is not None: + return ret + + # simplify the args and try again + args = tuple(a.simplify() for a in self.arguments) + return self.function.eval(args, assumptions) + + def __bool__(self): + ret = ask(self) + if ret is None: + raise TypeError("Cannot determine truth value of %s" % self) + return ret diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/relation/equality.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/relation/equality.py new file mode 100644 index 0000000000000000000000000000000000000000..d467cea2da706de2cbbc9875f93c7f8e324a9088 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/relation/equality.py @@ -0,0 +1,302 @@ +""" +Module for mathematical equality [1] and inequalities [2]. + +The purpose of this module is to provide the instances which represent the +binary predicates in order to combine the relationals into logical inference +system. Objects such as ``Q.eq``, ``Q.lt`` should remain internal to +assumptions module, and user must use the classes such as :obj:`~.Eq()`, +:obj:`~.Lt()` instead to construct the relational expressions. + +References +========== + +.. [1] https://en.wikipedia.org/wiki/Equality_(mathematics) +.. [2] https://en.wikipedia.org/wiki/Inequality_(mathematics) +""" +from sympy.assumptions import Q +from sympy.core.relational import is_eq, is_neq, is_gt, is_ge, is_lt, is_le + +from .binrel import BinaryRelation + +__all__ = ['EqualityPredicate', 'UnequalityPredicate', 'StrictGreaterThanPredicate', + 'GreaterThanPredicate', 'StrictLessThanPredicate', 'LessThanPredicate'] + + +class EqualityPredicate(BinaryRelation): + """ + Binary predicate for $=$. + + The purpose of this class is to provide the instance which represent + the equality predicate in order to allow the logical inference. + This class must remain internal to assumptions module and user must + use :obj:`~.Eq()` instead to construct the equality expression. + + Evaluating this predicate to ``True`` or ``False`` is done by + :func:`~.core.relational.is_eq` + + Examples + ======== + + >>> from sympy import ask, Q + >>> Q.eq(0, 0) + Q.eq(0, 0) + >>> ask(_) + True + + See Also + ======== + + sympy.core.relational.Eq + + """ + is_reflexive = True + is_symmetric = True + + name = 'eq' + handler = None # Do not allow dispatching by this predicate + + @property + def negated(self): + return Q.ne + + def eval(self, args, assumptions=True): + if assumptions == True: + # default assumptions for is_eq is None + assumptions = None + return is_eq(*args, assumptions) + + +class UnequalityPredicate(BinaryRelation): + r""" + Binary predicate for $\neq$. + + The purpose of this class is to provide the instance which represent + the inequation predicate in order to allow the logical inference. + This class must remain internal to assumptions module and user must + use :obj:`~.Ne()` instead to construct the inequation expression. + + Evaluating this predicate to ``True`` or ``False`` is done by + :func:`~.core.relational.is_neq` + + Examples + ======== + + >>> from sympy import ask, Q + >>> Q.ne(0, 0) + Q.ne(0, 0) + >>> ask(_) + False + + See Also + ======== + + sympy.core.relational.Ne + + """ + is_reflexive = False + is_symmetric = True + + name = 'ne' + handler = None + + @property + def negated(self): + return Q.eq + + def eval(self, args, assumptions=True): + if assumptions == True: + # default assumptions for is_neq is None + assumptions = None + return is_neq(*args, assumptions) + + +class StrictGreaterThanPredicate(BinaryRelation): + """ + Binary predicate for $>$. + + The purpose of this class is to provide the instance which represent + the ">" predicate in order to allow the logical inference. + This class must remain internal to assumptions module and user must + use :obj:`~.Gt()` instead to construct the equality expression. + + Evaluating this predicate to ``True`` or ``False`` is done by + :func:`~.core.relational.is_gt` + + Examples + ======== + + >>> from sympy import ask, Q + >>> Q.gt(0, 0) + Q.gt(0, 0) + >>> ask(_) + False + + See Also + ======== + + sympy.core.relational.Gt + + """ + is_reflexive = False + is_symmetric = False + + name = 'gt' + handler = None + + @property + def reversed(self): + return Q.lt + + @property + def negated(self): + return Q.le + + def eval(self, args, assumptions=True): + if assumptions == True: + # default assumptions for is_gt is None + assumptions = None + return is_gt(*args, assumptions) + + +class GreaterThanPredicate(BinaryRelation): + """ + Binary predicate for $>=$. + + The purpose of this class is to provide the instance which represent + the ">=" predicate in order to allow the logical inference. + This class must remain internal to assumptions module and user must + use :obj:`~.Ge()` instead to construct the equality expression. + + Evaluating this predicate to ``True`` or ``False`` is done by + :func:`~.core.relational.is_ge` + + Examples + ======== + + >>> from sympy import ask, Q + >>> Q.ge(0, 0) + Q.ge(0, 0) + >>> ask(_) + True + + See Also + ======== + + sympy.core.relational.Ge + + """ + is_reflexive = True + is_symmetric = False + + name = 'ge' + handler = None + + @property + def reversed(self): + return Q.le + + @property + def negated(self): + return Q.lt + + def eval(self, args, assumptions=True): + if assumptions == True: + # default assumptions for is_ge is None + assumptions = None + return is_ge(*args, assumptions) + + +class StrictLessThanPredicate(BinaryRelation): + """ + Binary predicate for $<$. + + The purpose of this class is to provide the instance which represent + the "<" predicate in order to allow the logical inference. + This class must remain internal to assumptions module and user must + use :obj:`~.Lt()` instead to construct the equality expression. + + Evaluating this predicate to ``True`` or ``False`` is done by + :func:`~.core.relational.is_lt` + + Examples + ======== + + >>> from sympy import ask, Q + >>> Q.lt(0, 0) + Q.lt(0, 0) + >>> ask(_) + False + + See Also + ======== + + sympy.core.relational.Lt + + """ + is_reflexive = False + is_symmetric = False + + name = 'lt' + handler = None + + @property + def reversed(self): + return Q.gt + + @property + def negated(self): + return Q.ge + + def eval(self, args, assumptions=True): + if assumptions == True: + # default assumptions for is_lt is None + assumptions = None + return is_lt(*args, assumptions) + + +class LessThanPredicate(BinaryRelation): + """ + Binary predicate for $<=$. + + The purpose of this class is to provide the instance which represent + the "<=" predicate in order to allow the logical inference. + This class must remain internal to assumptions module and user must + use :obj:`~.Le()` instead to construct the equality expression. + + Evaluating this predicate to ``True`` or ``False`` is done by + :func:`~.core.relational.is_le` + + Examples + ======== + + >>> from sympy import ask, Q + >>> Q.le(0, 0) + Q.le(0, 0) + >>> ask(_) + True + + See Also + ======== + + sympy.core.relational.Le + + """ + is_reflexive = True + is_symmetric = False + + name = 'le' + handler = None + + @property + def reversed(self): + return Q.ge + + @property + def negated(self): + return Q.gt + + 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b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/tests/test_assumptions_2.py @@ -0,0 +1,35 @@ +""" +rename this to test_assumptions.py when the old assumptions system is deleted +""" +from sympy.abc import x, y +from sympy.assumptions.assume import global_assumptions +from sympy.assumptions.ask import Q +from sympy.printing import pretty + + +def test_equal(): + """Test for equality""" + assert Q.positive(x) == Q.positive(x) + assert Q.positive(x) != ~Q.positive(x) + assert ~Q.positive(x) == ~Q.positive(x) + + +def test_pretty(): + assert pretty(Q.positive(x)) == "Q.positive(x)" + assert pretty( + {Q.positive, Q.integer}) == "{Q.integer, Q.positive}" + + +def test_global(): + """Test for global assumptions""" + global_assumptions.add(x > 0) + assert (x > 0) in global_assumptions + global_assumptions.remove(x > 0) + assert not (x > 0) in global_assumptions + # same with multiple of assumptions + global_assumptions.add(x > 0, y > 0) + assert (x > 0) in global_assumptions + assert (y > 0) in global_assumptions + global_assumptions.clear() + assert not (x > 0) in global_assumptions + assert not (y > 0) in global_assumptions diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/tests/test_context.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/tests/test_context.py new file mode 100644 index 0000000000000000000000000000000000000000..be162f1c69492218ff90ea69492925d7779567a4 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/tests/test_context.py @@ -0,0 +1,39 @@ +from sympy.assumptions import ask, Q +from sympy.assumptions.assume import assuming, global_assumptions +from sympy.abc import x, y + +def test_assuming(): + with assuming(Q.integer(x)): + assert ask(Q.integer(x)) + assert not ask(Q.integer(x)) + +def test_assuming_nested(): + assert not ask(Q.integer(x)) + assert not ask(Q.integer(y)) + with assuming(Q.integer(x)): + assert ask(Q.integer(x)) + assert not ask(Q.integer(y)) + with assuming(Q.integer(y)): + assert ask(Q.integer(x)) + assert ask(Q.integer(y)) + assert ask(Q.integer(x)) + assert not ask(Q.integer(y)) + assert not ask(Q.integer(x)) + assert not ask(Q.integer(y)) + +def test_finally(): + try: + with assuming(Q.integer(x)): + 1/0 + except ZeroDivisionError: + pass + assert not ask(Q.integer(x)) + +def test_remove_safe(): + global_assumptions.add(Q.integer(x)) + with assuming(): + assert ask(Q.integer(x)) + global_assumptions.remove(Q.integer(x)) + assert not ask(Q.integer(x)) + assert ask(Q.integer(x)) + global_assumptions.clear() # for the benefit of other tests diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/tests/test_matrices.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/tests/test_matrices.py new file mode 100644 index 0000000000000000000000000000000000000000..8bfa990f080eebe4d6dd5bfdd733ce1a19adf329 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/tests/test_matrices.py @@ -0,0 +1,283 @@ +from sympy.assumptions.ask import (Q, ask) +from sympy.core.symbol import Symbol +from sympy.matrices.expressions.diagonal import (DiagMatrix, DiagonalMatrix) +from sympy.matrices.dense import Matrix +from sympy.matrices.expressions import (MatrixSymbol, Identity, ZeroMatrix, + OneMatrix, Trace, MatrixSlice, Determinant, BlockMatrix, BlockDiagMatrix) +from sympy.matrices.expressions.factorizations import LofLU +from sympy.testing.pytest import XFAIL + +X = MatrixSymbol('X', 2, 2) +Y = MatrixSymbol('Y', 2, 3) +Z = MatrixSymbol('Z', 2, 2) +A1x1 = MatrixSymbol('A1x1', 1, 1) +B1x1 = MatrixSymbol('B1x1', 1, 1) +C0x0 = MatrixSymbol('C0x0', 0, 0) +V1 = MatrixSymbol('V1', 2, 1) +V2 = MatrixSymbol('V2', 2, 1) + +def test_square(): + assert ask(Q.square(X)) + assert not ask(Q.square(Y)) + assert ask(Q.square(Y*Y.T)) + +def test_invertible(): + assert ask(Q.invertible(X), Q.invertible(X)) + assert ask(Q.invertible(Y)) is False + assert ask(Q.invertible(X*Y), Q.invertible(X)) is False + assert ask(Q.invertible(X*Z), Q.invertible(X)) is None + assert ask(Q.invertible(X*Z), Q.invertible(X) & Q.invertible(Z)) is True + assert ask(Q.invertible(X.T)) is None + assert ask(Q.invertible(X.T), Q.invertible(X)) is True + assert ask(Q.invertible(X.I)) is True + assert ask(Q.invertible(Identity(3))) is True + assert ask(Q.invertible(ZeroMatrix(3, 3))) is False + assert ask(Q.invertible(OneMatrix(1, 1))) is True + assert ask(Q.invertible(OneMatrix(3, 3))) is False + assert ask(Q.invertible(X), Q.fullrank(X) & Q.square(X)) + +def test_singular(): + assert ask(Q.singular(X)) is None + assert ask(Q.singular(X), Q.invertible(X)) is False + assert ask(Q.singular(X), ~Q.invertible(X)) is True + +@XFAIL +def test_invertible_fullrank(): + assert ask(Q.invertible(X), Q.fullrank(X)) is True + + +def test_invertible_BlockMatrix(): + assert ask(Q.invertible(BlockMatrix([Identity(3)]))) == True + assert ask(Q.invertible(BlockMatrix([ZeroMatrix(3, 3)]))) == False + + X = Matrix([[1, 2, 3], [3, 5, 4]]) + Y = Matrix([[4, 2, 7], [2, 3, 5]]) + # non-invertible A block + assert ask(Q.invertible(BlockMatrix([ + [Matrix.ones(3, 3), Y.T], + [X, Matrix.eye(2)], + ]))) == True + # non-invertible B block + assert ask(Q.invertible(BlockMatrix([ + [Y.T, Matrix.ones(3, 3)], + [Matrix.eye(2), X], + ]))) == True + # non-invertible C block + assert ask(Q.invertible(BlockMatrix([ + [X, Matrix.eye(2)], + [Matrix.ones(3, 3), Y.T], + ]))) == True + # non-invertible D block + assert ask(Q.invertible(BlockMatrix([ + [Matrix.eye(2), X], + [Y.T, Matrix.ones(3, 3)], + ]))) == True + + +def test_invertible_BlockDiagMatrix(): + assert ask(Q.invertible(BlockDiagMatrix(Identity(3), Identity(5)))) == True + assert ask(Q.invertible(BlockDiagMatrix(ZeroMatrix(3, 3), Identity(5)))) == False + assert ask(Q.invertible(BlockDiagMatrix(Identity(3), OneMatrix(5, 5)))) == False + + +def test_symmetric(): + assert ask(Q.symmetric(X), Q.symmetric(X)) + assert ask(Q.symmetric(X*Z), Q.symmetric(X)) is None + assert ask(Q.symmetric(X*Z), Q.symmetric(X) & Q.symmetric(Z)) is True + assert ask(Q.symmetric(X + Z), Q.symmetric(X) & Q.symmetric(Z)) is True + assert ask(Q.symmetric(Y)) is False + assert ask(Q.symmetric(Y*Y.T)) is True + assert ask(Q.symmetric(Y.T*X*Y)) is None + assert ask(Q.symmetric(Y.T*X*Y), Q.symmetric(X)) is True + assert ask(Q.symmetric(X**10), Q.symmetric(X)) is True + assert ask(Q.symmetric(A1x1)) is True + assert ask(Q.symmetric(A1x1 + B1x1)) is True + assert ask(Q.symmetric(A1x1 * B1x1)) is True + assert ask(Q.symmetric(V1.T*V1)) is True + assert ask(Q.symmetric(V1.T*(V1 + V2))) is True + assert ask(Q.symmetric(V1.T*(V1 + V2) + A1x1)) is True + assert ask(Q.symmetric(MatrixSlice(Y, (0, 1), (1, 2)))) is True + assert ask(Q.symmetric(Identity(3))) is True + assert ask(Q.symmetric(ZeroMatrix(3, 3))) is True + assert ask(Q.symmetric(OneMatrix(3, 3))) is True + +def _test_orthogonal_unitary(predicate): + assert ask(predicate(X), predicate(X)) + assert ask(predicate(X.T), predicate(X)) is True + assert ask(predicate(X.I), predicate(X)) is True + assert ask(predicate(X**2), predicate(X)) + assert ask(predicate(Y)) is False + assert ask(predicate(X)) is None + assert ask(predicate(X), ~Q.invertible(X)) is False + assert ask(predicate(X*Z*X), predicate(X) & predicate(Z)) is True + assert ask(predicate(Identity(3))) is True + assert ask(predicate(ZeroMatrix(3, 3))) is False + assert ask(Q.invertible(X), predicate(X)) + assert not ask(predicate(X + Z), predicate(X) & predicate(Z)) + +def test_orthogonal(): + _test_orthogonal_unitary(Q.orthogonal) + +def test_unitary(): + _test_orthogonal_unitary(Q.unitary) + assert ask(Q.unitary(X), Q.orthogonal(X)) + +def test_fullrank(): + assert ask(Q.fullrank(X), Q.fullrank(X)) + assert ask(Q.fullrank(X**2), Q.fullrank(X)) + assert ask(Q.fullrank(X.T), Q.fullrank(X)) is True + assert ask(Q.fullrank(X)) is None + assert ask(Q.fullrank(Y)) is None + assert ask(Q.fullrank(X*Z), Q.fullrank(X) & Q.fullrank(Z)) is True + assert ask(Q.fullrank(Identity(3))) is True + assert ask(Q.fullrank(ZeroMatrix(3, 3))) is False + assert ask(Q.fullrank(OneMatrix(1, 1))) is True + assert ask(Q.fullrank(OneMatrix(3, 3))) is False + assert ask(Q.invertible(X), ~Q.fullrank(X)) == False + + +def test_positive_definite(): + assert ask(Q.positive_definite(X), Q.positive_definite(X)) + assert ask(Q.positive_definite(X.T), Q.positive_definite(X)) is True + assert ask(Q.positive_definite(X.I), Q.positive_definite(X)) is True + assert ask(Q.positive_definite(Y)) is False + assert ask(Q.positive_definite(X)) is None + assert ask(Q.positive_definite(X**3), Q.positive_definite(X)) + assert ask(Q.positive_definite(X*Z*X), + Q.positive_definite(X) & Q.positive_definite(Z)) is True + assert ask(Q.positive_definite(X), Q.orthogonal(X)) + assert ask(Q.positive_definite(Y.T*X*Y), + Q.positive_definite(X) & Q.fullrank(Y)) is True + assert not ask(Q.positive_definite(Y.T*X*Y), Q.positive_definite(X)) + assert ask(Q.positive_definite(Identity(3))) is True + assert ask(Q.positive_definite(ZeroMatrix(3, 3))) is False + assert ask(Q.positive_definite(OneMatrix(1, 1))) is True + assert ask(Q.positive_definite(OneMatrix(3, 3))) is False + assert ask(Q.positive_definite(X + Z), Q.positive_definite(X) & + Q.positive_definite(Z)) is True + assert not ask(Q.positive_definite(-X), Q.positive_definite(X)) + assert ask(Q.positive(X[1, 1]), Q.positive_definite(X)) + +def test_triangular(): + assert ask(Q.upper_triangular(X + Z.T + Identity(2)), Q.upper_triangular(X) & + Q.lower_triangular(Z)) is True + assert ask(Q.upper_triangular(X*Z.T), Q.upper_triangular(X) & + Q.lower_triangular(Z)) is True + assert ask(Q.lower_triangular(Identity(3))) is True + assert ask(Q.lower_triangular(ZeroMatrix(3, 3))) is True + assert ask(Q.upper_triangular(ZeroMatrix(3, 3))) is True + assert ask(Q.lower_triangular(OneMatrix(1, 1))) is True + assert ask(Q.upper_triangular(OneMatrix(1, 1))) is True + assert ask(Q.lower_triangular(OneMatrix(3, 3))) is False + assert ask(Q.upper_triangular(OneMatrix(3, 3))) is False + assert ask(Q.triangular(X), Q.unit_triangular(X)) + assert ask(Q.upper_triangular(X**3), Q.upper_triangular(X)) + assert ask(Q.lower_triangular(X**3), Q.lower_triangular(X)) + + +def test_diagonal(): + assert ask(Q.diagonal(X + Z.T + Identity(2)), Q.diagonal(X) & + Q.diagonal(Z)) is True + assert ask(Q.diagonal(ZeroMatrix(3, 3))) + assert ask(Q.diagonal(OneMatrix(1, 1))) is True + assert ask(Q.diagonal(OneMatrix(3, 3))) is False + assert ask(Q.lower_triangular(X) & Q.upper_triangular(X), Q.diagonal(X)) + assert ask(Q.diagonal(X), Q.lower_triangular(X) & Q.upper_triangular(X)) + assert ask(Q.symmetric(X), Q.diagonal(X)) + assert ask(Q.triangular(X), Q.diagonal(X)) + assert ask(Q.diagonal(C0x0)) + assert ask(Q.diagonal(A1x1)) + assert ask(Q.diagonal(A1x1 + B1x1)) + assert ask(Q.diagonal(A1x1*B1x1)) + assert ask(Q.diagonal(V1.T*V2)) + assert ask(Q.diagonal(V1.T*(X + Z)*V1)) + assert ask(Q.diagonal(MatrixSlice(Y, (0, 1), (1, 2)))) is True + assert ask(Q.diagonal(V1.T*(V1 + V2))) is True + assert ask(Q.diagonal(X**3), Q.diagonal(X)) + assert ask(Q.diagonal(Identity(3))) + assert ask(Q.diagonal(DiagMatrix(V1))) + assert ask(Q.diagonal(DiagonalMatrix(X))) + + +def test_non_atoms(): + assert ask(Q.real(Trace(X)), Q.positive(Trace(X))) + +@XFAIL +def test_non_trivial_implies(): + X = MatrixSymbol('X', 3, 3) + Y = MatrixSymbol('Y', 3, 3) + assert ask(Q.lower_triangular(X+Y), Q.lower_triangular(X) & + Q.lower_triangular(Y)) is True + assert ask(Q.triangular(X), Q.lower_triangular(X)) is True + assert ask(Q.triangular(X+Y), Q.lower_triangular(X) & + Q.lower_triangular(Y)) is True + +def test_MatrixSlice(): + X = MatrixSymbol('X', 4, 4) + B = MatrixSlice(X, (1, 3), (1, 3)) + C = MatrixSlice(X, (0, 3), (1, 3)) + assert ask(Q.symmetric(B), Q.symmetric(X)) + assert ask(Q.invertible(B), Q.invertible(X)) + assert ask(Q.diagonal(B), Q.diagonal(X)) + assert ask(Q.orthogonal(B), Q.orthogonal(X)) + assert ask(Q.upper_triangular(B), Q.upper_triangular(X)) + + assert not ask(Q.symmetric(C), Q.symmetric(X)) + assert not ask(Q.invertible(C), Q.invertible(X)) + assert not ask(Q.diagonal(C), Q.diagonal(X)) + assert not ask(Q.orthogonal(C), Q.orthogonal(X)) + assert not ask(Q.upper_triangular(C), Q.upper_triangular(X)) + +def test_det_trace_positive(): + X = MatrixSymbol('X', 4, 4) + assert ask(Q.positive(Trace(X)), Q.positive_definite(X)) + assert ask(Q.positive(Determinant(X)), Q.positive_definite(X)) + +def test_field_assumptions(): + X = MatrixSymbol('X', 4, 4) + Y = MatrixSymbol('Y', 4, 4) + assert ask(Q.real_elements(X), Q.real_elements(X)) + assert not ask(Q.integer_elements(X), Q.real_elements(X)) + assert ask(Q.complex_elements(X), Q.real_elements(X)) + assert ask(Q.complex_elements(X**2), Q.real_elements(X)) + assert ask(Q.real_elements(X**2), Q.integer_elements(X)) + assert ask(Q.real_elements(X+Y), Q.real_elements(X)) is None + assert ask(Q.real_elements(X+Y), Q.real_elements(X) & Q.real_elements(Y)) + from sympy.matrices.expressions.hadamard import HadamardProduct + assert ask(Q.real_elements(HadamardProduct(X, Y)), + Q.real_elements(X) & Q.real_elements(Y)) + assert ask(Q.complex_elements(X+Y), Q.real_elements(X) & Q.complex_elements(Y)) + + assert ask(Q.real_elements(X.T), Q.real_elements(X)) + assert ask(Q.real_elements(X.I), Q.real_elements(X) & Q.invertible(X)) + assert ask(Q.real_elements(Trace(X)), Q.real_elements(X)) + assert ask(Q.integer_elements(Determinant(X)), Q.integer_elements(X)) + assert not ask(Q.integer_elements(X.I), Q.integer_elements(X)) + alpha = Symbol('alpha') + assert ask(Q.real_elements(alpha*X), Q.real_elements(X) & Q.real(alpha)) + assert ask(Q.real_elements(LofLU(X)), Q.real_elements(X)) + e = Symbol('e', integer=True, negative=True) + assert ask(Q.real_elements(X**e), Q.real_elements(X) & Q.invertible(X)) + assert ask(Q.real_elements(X**e), Q.real_elements(X)) is None + +def test_matrix_element_sets(): + X = MatrixSymbol('X', 4, 4) + assert ask(Q.real(X[1, 2]), Q.real_elements(X)) + assert ask(Q.integer(X[1, 2]), Q.integer_elements(X)) + assert ask(Q.complex(X[1, 2]), Q.complex_elements(X)) + assert ask(Q.integer_elements(Identity(3))) + assert ask(Q.integer_elements(ZeroMatrix(3, 3))) + assert ask(Q.integer_elements(OneMatrix(3, 3))) + from sympy.matrices.expressions.fourier import DFT + assert ask(Q.complex_elements(DFT(3))) + + +def test_matrix_element_sets_slices_blocks(): + X = MatrixSymbol('X', 4, 4) + assert ask(Q.integer_elements(X[:, 3]), Q.integer_elements(X)) + assert ask(Q.integer_elements(BlockMatrix([[X], [X]])), + Q.integer_elements(X)) + +def test_matrix_element_sets_determinant_trace(): + assert ask(Q.integer(Determinant(X)), Q.integer_elements(X)) + assert ask(Q.integer(Trace(X)), Q.integer_elements(X)) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/tests/test_query.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/tests/test_query.py new file mode 100644 index 0000000000000000000000000000000000000000..e1ae1f1e482e5c9d19e3dcce3f37ad46b6821817 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/tests/test_query.py @@ -0,0 +1,2541 @@ +from sympy.abc import t, w, x, y, z, n, k, m, p, i +from sympy.assumptions import (ask, AssumptionsContext, Q, register_handler, + remove_handler) +from sympy.assumptions.assume import assuming, global_assumptions, Predicate +from sympy.assumptions.cnf import CNF, Literal +from sympy.assumptions.facts import (single_fact_lookup, + get_known_facts, generate_known_facts_dict, get_known_facts_keys) +from sympy.assumptions.handlers import AskHandler +from sympy.assumptions.ask_generated import (get_all_known_facts, + get_known_facts_dict) +from sympy.core.add import Add +from sympy.core.numbers import (I, Integer, Rational, oo, zoo, pi) +from sympy.core.singleton import S +from sympy.core.power import Pow +from sympy.core.symbol import Str, symbols, Symbol +from sympy.functions.combinatorial.factorials import factorial +from sympy.functions.elementary.complexes import (Abs, im, re, sign) +from sympy.functions.elementary.exponential import (exp, log) +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.trigonometric import ( + acos, acot, asin, atan, cos, cot, sin, tan) +from sympy.logic.boolalg import Equivalent, Implies, Xor, And, to_cnf +from sympy.matrices import Matrix, SparseMatrix +from sympy.testing.pytest import (XFAIL, slow, raises, warns_deprecated_sympy, + _both_exp_pow) +import math + + +def test_int_1(): + z = 1 + assert ask(Q.commutative(z)) is True + assert ask(Q.integer(z)) is True + assert ask(Q.rational(z)) is True + assert ask(Q.real(z)) is True + assert ask(Q.complex(z)) is True + assert ask(Q.irrational(z)) is False + assert ask(Q.imaginary(z)) is False + assert ask(Q.positive(z)) is True + assert ask(Q.negative(z)) is False + assert ask(Q.even(z)) is False + assert ask(Q.odd(z)) is True + assert ask(Q.finite(z)) is True + assert ask(Q.prime(z)) is False + assert ask(Q.composite(z)) is False + assert ask(Q.hermitian(z)) is True + assert ask(Q.antihermitian(z)) is False + + +def test_int_11(): + z = 11 + assert ask(Q.commutative(z)) is True + assert ask(Q.integer(z)) is True + assert ask(Q.rational(z)) is True + assert ask(Q.real(z)) is True + assert ask(Q.complex(z)) is True + assert ask(Q.irrational(z)) is False + assert ask(Q.imaginary(z)) is False + assert ask(Q.positive(z)) is True + assert ask(Q.negative(z)) is False + assert ask(Q.even(z)) is False + assert ask(Q.odd(z)) is True + assert ask(Q.finite(z)) is True + assert ask(Q.prime(z)) is True + assert ask(Q.composite(z)) is False + assert ask(Q.hermitian(z)) is True + assert ask(Q.antihermitian(z)) is False + + +def test_int_12(): + z = 12 + assert ask(Q.commutative(z)) is True + assert ask(Q.integer(z)) is True + assert ask(Q.rational(z)) is True + assert ask(Q.real(z)) is True + assert ask(Q.complex(z)) is True + assert ask(Q.irrational(z)) is False + assert ask(Q.imaginary(z)) is False + assert ask(Q.positive(z)) is True + assert ask(Q.negative(z)) is False + assert ask(Q.even(z)) is True + assert ask(Q.odd(z)) is False + assert ask(Q.finite(z)) is True + assert ask(Q.prime(z)) is False + assert ask(Q.composite(z)) is True + assert ask(Q.hermitian(z)) is True + assert ask(Q.antihermitian(z)) is False + + +def test_float_1(): + z = 1.0 + assert ask(Q.commutative(z)) is True + assert ask(Q.integer(z)) is None + assert ask(Q.rational(z)) is None + assert ask(Q.real(z)) is True + assert ask(Q.complex(z)) is True + assert ask(Q.irrational(z)) is None + assert ask(Q.imaginary(z)) is False + assert ask(Q.positive(z)) is True + assert ask(Q.negative(z)) is False + assert ask(Q.even(z)) is None + assert ask(Q.odd(z)) is None + assert ask(Q.finite(z)) is True + assert ask(Q.prime(z)) is None + assert ask(Q.composite(z)) is None + assert ask(Q.hermitian(z)) is True + assert ask(Q.antihermitian(z)) is False + + z = 7.2123 + assert ask(Q.commutative(z)) is True + assert ask(Q.integer(z)) is False + assert ask(Q.rational(z)) is None + assert ask(Q.real(z)) is True + assert ask(Q.complex(z)) is True + assert ask(Q.irrational(z)) is None + assert ask(Q.imaginary(z)) is False + assert ask(Q.positive(z)) is True + assert ask(Q.negative(z)) is False + assert ask(Q.even(z)) is False + assert ask(Q.odd(z)) is False + assert ask(Q.finite(z)) is True + assert ask(Q.prime(z)) is False + assert ask(Q.composite(z)) is False + assert ask(Q.hermitian(z)) is True + assert ask(Q.antihermitian(z)) is False + + # test for issue #12168 + assert ask(Q.rational(math.pi)) is None + + +def test_zero_0(): + z = Integer(0) + assert ask(Q.nonzero(z)) is False + assert ask(Q.zero(z)) is True + assert ask(Q.commutative(z)) is True + assert ask(Q.integer(z)) is True + assert ask(Q.rational(z)) is True + assert ask(Q.real(z)) is True + assert ask(Q.complex(z)) is True + assert ask(Q.imaginary(z)) is False + assert ask(Q.positive(z)) is False + assert ask(Q.negative(z)) is False + assert ask(Q.even(z)) is True + assert ask(Q.odd(z)) is False + assert ask(Q.finite(z)) is True + assert ask(Q.prime(z)) is False + assert ask(Q.composite(z)) is False + assert ask(Q.hermitian(z)) is True + assert ask(Q.antihermitian(z)) is True + + +def test_negativeone(): + z = Integer(-1) + assert ask(Q.nonzero(z)) is True + assert ask(Q.zero(z)) is False + assert ask(Q.commutative(z)) is True + assert ask(Q.integer(z)) is True + assert ask(Q.rational(z)) is True + assert ask(Q.real(z)) is True + assert ask(Q.complex(z)) is True + assert ask(Q.irrational(z)) is False + assert ask(Q.imaginary(z)) is False + assert ask(Q.positive(z)) is False + assert ask(Q.negative(z)) is True + assert ask(Q.even(z)) is False + assert ask(Q.odd(z)) is True + assert ask(Q.finite(z)) is True + assert ask(Q.prime(z)) is False + assert ask(Q.composite(z)) is False + assert ask(Q.hermitian(z)) is True + assert ask(Q.antihermitian(z)) is False + + +def test_infinity(): + assert ask(Q.commutative(oo)) is True + assert ask(Q.integer(oo)) is False + assert ask(Q.rational(oo)) is False + assert ask(Q.algebraic(oo)) is False + assert ask(Q.real(oo)) is False + assert ask(Q.extended_real(oo)) is True + assert ask(Q.complex(oo)) is False + assert ask(Q.irrational(oo)) is False + assert ask(Q.imaginary(oo)) is False + assert ask(Q.positive(oo)) is False + assert ask(Q.extended_positive(oo)) is True + assert ask(Q.negative(oo)) is False + assert ask(Q.even(oo)) is False + assert ask(Q.odd(oo)) is False + assert ask(Q.finite(oo)) is False + assert ask(Q.infinite(oo)) is True + assert ask(Q.prime(oo)) is False + assert ask(Q.composite(oo)) is False + assert ask(Q.hermitian(oo)) is False + assert ask(Q.antihermitian(oo)) is False + assert ask(Q.positive_infinite(oo)) is True + assert ask(Q.negative_infinite(oo)) is False + + +def test_neg_infinity(): + mm = S.NegativeInfinity + assert ask(Q.commutative(mm)) is True + assert ask(Q.integer(mm)) is False + assert ask(Q.rational(mm)) is False + assert ask(Q.algebraic(mm)) is False + assert ask(Q.real(mm)) is False + assert ask(Q.extended_real(mm)) is True + assert ask(Q.complex(mm)) is False + assert ask(Q.irrational(mm)) is False + assert ask(Q.imaginary(mm)) is False + assert ask(Q.positive(mm)) is False + assert ask(Q.negative(mm)) is False + assert ask(Q.extended_negative(mm)) is True + assert ask(Q.even(mm)) is False + assert ask(Q.odd(mm)) is False + assert ask(Q.finite(mm)) is False + assert ask(Q.infinite(oo)) is True + assert ask(Q.prime(mm)) is False + assert ask(Q.composite(mm)) is False + assert ask(Q.hermitian(mm)) is False + assert ask(Q.antihermitian(mm)) is False + assert ask(Q.positive_infinite(-oo)) is False + assert ask(Q.negative_infinite(-oo)) is True + + +def test_complex_infinity(): + assert ask(Q.commutative(zoo)) is True + assert ask(Q.integer(zoo)) is False + assert ask(Q.rational(zoo)) is False + assert ask(Q.algebraic(zoo)) is False + assert ask(Q.real(zoo)) is False + assert ask(Q.extended_real(zoo)) is False + assert ask(Q.complex(zoo)) is False + assert ask(Q.irrational(zoo)) is False + assert ask(Q.imaginary(zoo)) is False + assert ask(Q.positive(zoo)) is False + assert ask(Q.negative(zoo)) is False + assert ask(Q.zero(zoo)) is False + assert ask(Q.nonzero(zoo)) is False + assert ask(Q.even(zoo)) is False + assert ask(Q.odd(zoo)) is False + assert ask(Q.finite(zoo)) is False + assert ask(Q.infinite(zoo)) is True + assert ask(Q.prime(zoo)) is False + assert ask(Q.composite(zoo)) is False + assert ask(Q.hermitian(zoo)) is False + assert ask(Q.antihermitian(zoo)) is False + assert ask(Q.positive_infinite(zoo)) is False + assert ask(Q.negative_infinite(zoo)) is False + + +def test_nan(): + nan = S.NaN + assert ask(Q.commutative(nan)) is True + assert ask(Q.integer(nan)) is None + assert ask(Q.rational(nan)) is None + assert ask(Q.algebraic(nan)) is None + assert ask(Q.real(nan)) is None + assert ask(Q.extended_real(nan)) is None + assert ask(Q.complex(nan)) is None + assert ask(Q.irrational(nan)) is None + assert ask(Q.imaginary(nan)) is None + assert ask(Q.positive(nan)) is None + assert ask(Q.nonzero(nan)) is None + assert ask(Q.zero(nan)) is None + assert ask(Q.even(nan)) is None + assert ask(Q.odd(nan)) is None + assert ask(Q.finite(nan)) is None + assert ask(Q.infinite(nan)) is None + assert ask(Q.prime(nan)) is None + assert ask(Q.composite(nan)) is None + assert ask(Q.hermitian(nan)) is None + assert ask(Q.antihermitian(nan)) is None + + +def test_Rational_number(): + r = Rational(3, 4) + assert ask(Q.commutative(r)) is True + assert ask(Q.integer(r)) is False + assert ask(Q.rational(r)) is True + assert ask(Q.real(r)) is True + assert ask(Q.complex(r)) is True + assert ask(Q.irrational(r)) is False + assert ask(Q.imaginary(r)) is False + assert ask(Q.positive(r)) is True + assert ask(Q.negative(r)) is False + assert ask(Q.even(r)) is False + assert ask(Q.odd(r)) is False + assert ask(Q.finite(r)) is True + assert ask(Q.prime(r)) is False + assert ask(Q.composite(r)) is False + assert ask(Q.hermitian(r)) is True + assert ask(Q.antihermitian(r)) is False + + r = Rational(1, 4) + assert ask(Q.positive(r)) is True + assert ask(Q.negative(r)) is False + + r = Rational(5, 4) + assert ask(Q.negative(r)) is False + assert ask(Q.positive(r)) is True + + r = Rational(5, 3) + assert ask(Q.positive(r)) is True + assert ask(Q.negative(r)) is False + + r = Rational(-3, 4) + assert ask(Q.positive(r)) is False + assert ask(Q.negative(r)) is True + + r = Rational(-1, 4) + assert ask(Q.positive(r)) is False + assert ask(Q.negative(r)) is True + + r = Rational(-5, 4) + assert ask(Q.negative(r)) is True + assert ask(Q.positive(r)) is False + + r = Rational(-5, 3) + assert ask(Q.positive(r)) is False + assert ask(Q.negative(r)) is True + + +def test_sqrt_2(): + z = sqrt(2) + assert ask(Q.commutative(z)) is True + assert ask(Q.integer(z)) is False + assert ask(Q.rational(z)) is False + assert ask(Q.real(z)) is True + assert ask(Q.complex(z)) is True + assert ask(Q.irrational(z)) is True + assert ask(Q.imaginary(z)) is False + assert ask(Q.positive(z)) is True + assert ask(Q.negative(z)) is False + assert ask(Q.even(z)) is False + assert ask(Q.odd(z)) is False + assert ask(Q.finite(z)) is True + assert ask(Q.prime(z)) is False + assert ask(Q.composite(z)) is False + assert ask(Q.hermitian(z)) is True + assert ask(Q.antihermitian(z)) is False + + +def test_pi(): + z = S.Pi + assert ask(Q.commutative(z)) is True + assert ask(Q.integer(z)) is False + assert ask(Q.rational(z)) is False + assert ask(Q.algebraic(z)) is False + assert ask(Q.real(z)) is True + assert ask(Q.complex(z)) is True + assert ask(Q.irrational(z)) is True + assert ask(Q.imaginary(z)) is False + assert ask(Q.positive(z)) is True + assert ask(Q.negative(z)) is False + assert ask(Q.even(z)) is False + assert ask(Q.odd(z)) is False + assert ask(Q.finite(z)) is True + assert ask(Q.prime(z)) is False + assert ask(Q.composite(z)) is False + assert ask(Q.hermitian(z)) is True + assert ask(Q.antihermitian(z)) is False + + z = S.Pi + 1 + assert ask(Q.commutative(z)) is True + assert ask(Q.integer(z)) is False + assert ask(Q.rational(z)) is False + assert ask(Q.algebraic(z)) is False + assert ask(Q.real(z)) is True + assert ask(Q.complex(z)) is True + assert ask(Q.irrational(z)) is True + assert ask(Q.imaginary(z)) is False + assert ask(Q.positive(z)) is True + assert ask(Q.negative(z)) is False + assert ask(Q.even(z)) is False + assert ask(Q.odd(z)) is False + assert ask(Q.finite(z)) is True + assert ask(Q.prime(z)) is False + assert ask(Q.composite(z)) is False + assert ask(Q.hermitian(z)) is True + assert ask(Q.antihermitian(z)) is False + + z = 2*S.Pi + assert ask(Q.commutative(z)) is True + assert ask(Q.integer(z)) is False + assert ask(Q.rational(z)) is False + assert ask(Q.algebraic(z)) is False + assert ask(Q.real(z)) is True + assert ask(Q.complex(z)) is True + assert ask(Q.irrational(z)) is True + assert ask(Q.imaginary(z)) is False + assert ask(Q.positive(z)) is True + assert ask(Q.negative(z)) is False + assert ask(Q.even(z)) is False + assert ask(Q.odd(z)) is False + assert ask(Q.finite(z)) is True + assert ask(Q.prime(z)) is False + assert ask(Q.composite(z)) is False + assert ask(Q.hermitian(z)) is True + assert ask(Q.antihermitian(z)) is False + + z = S.Pi ** 2 + assert ask(Q.commutative(z)) is True + assert ask(Q.integer(z)) is False + assert ask(Q.rational(z)) is False + assert ask(Q.algebraic(z)) is False + assert ask(Q.real(z)) is True + assert ask(Q.complex(z)) is True + assert ask(Q.irrational(z)) is True + assert ask(Q.imaginary(z)) is False + assert ask(Q.positive(z)) is True + assert ask(Q.negative(z)) is False + assert ask(Q.even(z)) is False + assert ask(Q.odd(z)) is False + assert ask(Q.finite(z)) is True + assert ask(Q.prime(z)) is False + assert ask(Q.composite(z)) is False + assert ask(Q.hermitian(z)) is True + assert ask(Q.antihermitian(z)) is False + + z = (1 + S.Pi) ** 2 + assert ask(Q.commutative(z)) is True + assert ask(Q.integer(z)) is False + assert ask(Q.rational(z)) is False + assert ask(Q.algebraic(z)) is None + assert ask(Q.real(z)) is True + assert ask(Q.complex(z)) is True + assert ask(Q.irrational(z)) is True + assert ask(Q.imaginary(z)) is False + assert ask(Q.positive(z)) is True + assert ask(Q.negative(z)) is False + assert ask(Q.even(z)) is False + assert ask(Q.odd(z)) is False + assert ask(Q.finite(z)) is True + assert ask(Q.prime(z)) is False + assert ask(Q.composite(z)) is False + assert ask(Q.hermitian(z)) is True + assert ask(Q.antihermitian(z)) is False + + +def test_E(): + z = S.Exp1 + assert ask(Q.commutative(z)) is True + assert ask(Q.integer(z)) is False + assert ask(Q.rational(z)) is False + assert ask(Q.algebraic(z)) is False + assert ask(Q.real(z)) is True + assert ask(Q.complex(z)) is True + assert ask(Q.irrational(z)) is True + assert ask(Q.imaginary(z)) is False + assert ask(Q.positive(z)) is True + assert ask(Q.negative(z)) is False + assert ask(Q.even(z)) is False + assert ask(Q.odd(z)) is False + assert ask(Q.finite(z)) is True + assert ask(Q.prime(z)) is False + assert ask(Q.composite(z)) is False + assert ask(Q.hermitian(z)) is True + assert ask(Q.antihermitian(z)) is False + + +def test_GoldenRatio(): + z = S.GoldenRatio + assert ask(Q.commutative(z)) is True + assert ask(Q.integer(z)) is False + assert ask(Q.rational(z)) is False + assert ask(Q.algebraic(z)) is True + assert ask(Q.real(z)) is True + assert ask(Q.complex(z)) is True + assert ask(Q.irrational(z)) is True + assert ask(Q.imaginary(z)) is False + assert ask(Q.positive(z)) is True + assert ask(Q.negative(z)) is False + assert ask(Q.even(z)) is False + assert ask(Q.odd(z)) is False + assert ask(Q.finite(z)) is True + assert ask(Q.prime(z)) is False + assert ask(Q.composite(z)) is False + assert ask(Q.hermitian(z)) is True + assert ask(Q.antihermitian(z)) is False + + +def test_TribonacciConstant(): + z = S.TribonacciConstant + assert ask(Q.commutative(z)) is True + assert ask(Q.integer(z)) is False + assert ask(Q.rational(z)) is False + assert ask(Q.algebraic(z)) is True + assert ask(Q.real(z)) is True + assert ask(Q.complex(z)) is True + assert ask(Q.irrational(z)) is True + assert ask(Q.imaginary(z)) is False + assert ask(Q.positive(z)) is True + assert ask(Q.negative(z)) is False + assert ask(Q.even(z)) is False + assert ask(Q.odd(z)) is False + assert ask(Q.finite(z)) is True + assert ask(Q.prime(z)) is False + assert ask(Q.composite(z)) is False + assert ask(Q.hermitian(z)) is True + assert ask(Q.antihermitian(z)) is False + + +def test_I(): + z = I + assert ask(Q.commutative(z)) is True + assert ask(Q.integer(z)) is False + assert ask(Q.rational(z)) is False + assert ask(Q.algebraic(z)) is True + assert ask(Q.real(z)) is False + assert ask(Q.complex(z)) is True + assert ask(Q.irrational(z)) is False + assert ask(Q.imaginary(z)) is True + assert ask(Q.positive(z)) is False + assert ask(Q.negative(z)) is False + assert ask(Q.even(z)) is False + assert ask(Q.odd(z)) is False + assert ask(Q.finite(z)) is True + assert ask(Q.prime(z)) is False + assert ask(Q.composite(z)) is False + assert ask(Q.hermitian(z)) is False + assert ask(Q.antihermitian(z)) is True + + z = 1 + I + assert ask(Q.commutative(z)) is True + assert ask(Q.integer(z)) is False + assert ask(Q.rational(z)) is False + assert ask(Q.algebraic(z)) is True + assert ask(Q.real(z)) is False + assert ask(Q.complex(z)) is True + assert ask(Q.irrational(z)) is False + assert ask(Q.imaginary(z)) is False + assert ask(Q.positive(z)) is False + assert ask(Q.negative(z)) is False + assert ask(Q.even(z)) is False + assert ask(Q.odd(z)) is False + assert ask(Q.finite(z)) is True + assert ask(Q.prime(z)) is False + assert ask(Q.composite(z)) is False + assert ask(Q.hermitian(z)) is False + assert ask(Q.antihermitian(z)) is False + + z = I*(1 + I) + assert ask(Q.commutative(z)) is True + assert ask(Q.integer(z)) is False + assert ask(Q.rational(z)) is False + assert ask(Q.algebraic(z)) is True + assert ask(Q.real(z)) is False + assert ask(Q.complex(z)) is True + assert ask(Q.irrational(z)) is False + assert ask(Q.imaginary(z)) is False + assert ask(Q.positive(z)) is False + assert ask(Q.negative(z)) is False + assert ask(Q.even(z)) is False + assert ask(Q.odd(z)) is False + assert ask(Q.finite(z)) is True + assert ask(Q.prime(z)) is False + assert ask(Q.composite(z)) is False + assert ask(Q.hermitian(z)) is False + assert ask(Q.antihermitian(z)) is False + + z = I**(I) + assert ask(Q.imaginary(z)) is False + assert ask(Q.real(z)) is True + + z = (-I)**(I) + assert ask(Q.imaginary(z)) is False + assert ask(Q.real(z)) is True + + z = (3*I)**(I) + assert ask(Q.imaginary(z)) is False + assert ask(Q.real(z)) is False + + z = (1)**(I) + assert ask(Q.imaginary(z)) is False + assert ask(Q.real(z)) is True + + z = (-1)**(I) + assert ask(Q.imaginary(z)) is False + assert ask(Q.real(z)) is True + + z = (1+I)**(I) + assert ask(Q.imaginary(z)) is False + assert ask(Q.real(z)) is False + + z = (I)**(I+3) + assert ask(Q.imaginary(z)) is True + assert ask(Q.real(z)) is False + + z = (I)**(I+2) + assert ask(Q.imaginary(z)) is False + assert ask(Q.real(z)) is True + + z = (I)**(2) + assert ask(Q.imaginary(z)) is False + assert ask(Q.real(z)) is True + + z = (I)**(3) + assert ask(Q.imaginary(z)) is True + assert ask(Q.real(z)) is False + + z = (3)**(I) + assert ask(Q.imaginary(z)) is False + assert ask(Q.real(z)) is False + + z = (I)**(0) + assert ask(Q.imaginary(z)) is False + assert ask(Q.real(z)) is True + +def test_bounded(): + x, y, z = symbols('x,y,z') + a = x + y + x, y = a.args + assert ask(Q.finite(a), Q.positive_infinite(y)) is None + assert ask(Q.finite(x)) is None + assert ask(Q.finite(x), Q.finite(x)) is True + assert ask(Q.finite(x), Q.finite(y)) is None + assert ask(Q.finite(x), Q.complex(x)) is True + assert ask(Q.finite(x), Q.extended_real(x)) is None + + assert ask(Q.finite(x + 1)) is None + assert ask(Q.finite(x + 1), Q.finite(x)) is True + a = x + y + x, y = a.args + # B + B + assert ask(Q.finite(a), Q.finite(x) & Q.finite(y)) is True + assert ask(Q.finite(a), Q.positive(x) & Q.finite(y)) is True + assert ask(Q.finite(a), Q.finite(x) & Q.positive(y)) is True + assert ask(Q.finite(a), Q.positive(x) & Q.positive(y)) is True + assert ask(Q.finite(a), Q.positive(x) & Q.finite(y) + & ~Q.positive(y)) is True + assert ask(Q.finite(a), Q.finite(x) & ~Q.positive(x) + & Q.positive(y)) is True + assert ask(Q.finite(a), Q.finite(x) & Q.finite(y) & ~Q.positive(x) + & ~Q.positive(y)) is True + # B + U + assert ask(Q.finite(a), Q.finite(x) & ~Q.finite(y)) is False + assert ask(Q.finite(a), Q.positive(x) & ~Q.finite(y)) is False + assert ask(Q.finite(a), Q.finite(x) + & Q.positive_infinite(y)) is False + assert ask(Q.finite(a), Q.positive(x) + & Q.positive_infinite(y)) is False + assert ask(Q.finite(a), Q.positive(x) & ~Q.finite(y) + & ~Q.positive(y)) is False + assert ask(Q.finite(a), Q.finite(x) & ~Q.positive(x) + & Q.positive_infinite(y)) is False + assert ask(Q.finite(a), Q.finite(x) & ~Q.positive(x) & ~Q.finite(y) + & ~Q.positive(y)) is False + # B + ? + assert ask(Q.finite(a), Q.finite(x)) is None + assert ask(Q.finite(a), Q.positive(x)) is None + assert ask(Q.finite(a), Q.finite(x) + & Q.extended_positive(y)) is None + assert ask(Q.finite(a), Q.positive(x) + & Q.extended_positive(y)) is None + assert ask(Q.finite(a), Q.positive(x) & ~Q.positive(y)) is None + assert ask(Q.finite(a), Q.finite(x) & ~Q.positive(x) + & Q.extended_positive(y)) is None + assert ask(Q.finite(a), Q.finite(x) & ~Q.positive(x) + & ~Q.positive(y)) is None + # U + U + assert ask(Q.finite(a), ~Q.finite(x) & ~Q.finite(y)) is None + assert ask(Q.finite(a), Q.positive_infinite(x) + & ~Q.finite(y)) is None + assert ask(Q.finite(a), ~Q.finite(x) + & Q.positive_infinite(y)) is None + assert ask(Q.finite(a), Q.positive_infinite(x) + & Q.positive_infinite(y)) is False + assert ask(Q.finite(a), Q.positive_infinite(x) & ~Q.finite(y) + & ~Q.extended_positive(y)) is None + assert ask(Q.finite(a), ~Q.finite(x) & ~Q.extended_positive(x) + & Q.positive_infinite(y)) is None + assert ask(Q.finite(a), ~Q.finite(x) & ~Q.finite(y) + & ~Q.extended_positive(x) & ~Q.extended_positive(y)) is False + # U + ? + assert ask(Q.finite(a), ~Q.finite(y)) is None + assert ask(Q.finite(a), Q.extended_positive(x) + & ~Q.finite(y)) is None + assert ask(Q.finite(a), Q.positive_infinite(y)) is None + assert ask(Q.finite(a), Q.extended_positive(x) + & Q.positive_infinite(y)) is False + assert ask(Q.finite(a), Q.extended_positive(x) + & ~Q.finite(y) & ~Q.extended_positive(y)) is None + assert ask(Q.finite(a), ~Q.extended_positive(x) + & Q.positive_infinite(y)) is None + assert ask(Q.finite(a), ~Q.extended_positive(x) & ~Q.finite(y) + & ~Q.extended_positive(y)) is False + # ? + ? + assert ask(Q.finite(a)) is None + assert ask(Q.finite(a), Q.extended_positive(x)) is None + assert ask(Q.finite(a), Q.extended_positive(y)) is None + assert ask(Q.finite(a), Q.extended_positive(x) + & Q.extended_positive(y)) is None + assert ask(Q.finite(a), Q.extended_positive(x) + & ~Q.extended_positive(y)) is None + assert ask(Q.finite(a), ~Q.extended_positive(x) + & Q.extended_positive(y)) is None + assert ask(Q.finite(a), ~Q.extended_positive(x) + & ~Q.extended_positive(y)) is None + + x, y, z = symbols('x,y,z') + a = x + y + z + x, y, z = a.args + assert ask(Q.finite(a), Q.negative(x) & Q.negative(y) + & Q.negative(z)) is True + assert ask(Q.finite(a), Q.negative(x) & Q.negative(y) + & Q.finite(z)) is True + assert ask(Q.finite(a), Q.negative(x) & Q.negative(y) + & Q.positive(z)) is True + assert ask(Q.finite(a), Q.negative(x) & Q.negative(y) + & Q.negative_infinite(z)) is False + assert ask(Q.finite(a), Q.negative(x) & Q.negative(y) + & ~Q.finite(z)) is False + assert ask(Q.finite(a), Q.negative(x) & Q.negative(y) + & Q.positive_infinite(z)) is False + assert ask(Q.finite(a), Q.negative(x) & Q.negative(y) + & Q.extended_negative(z)) is None + assert ask(Q.finite(a), Q.negative(x) & Q.negative(y)) is None + assert ask(Q.finite(a), Q.negative(x) & Q.negative(y) + & Q.extended_positive(z)) is None + assert ask(Q.finite(a), Q.negative(x) & Q.finite(y) + & Q.finite(z)) is True + assert ask(Q.finite(a), Q.negative(x) & Q.finite(y) + & Q.positive(z)) is True + assert ask(Q.finite(a), Q.negative(x) & Q.finite(y) + & Q.negative_infinite(z)) is False + assert ask(Q.finite(a), Q.negative(x) & Q.finite(y) + & ~Q.finite(z)) is False + assert ask(Q.finite(a), Q.negative(x) & Q.finite(y) + & Q.positive_infinite(z)) is False + assert ask(Q.finite(a), Q.negative(x) & Q.finite(y) + & Q.extended_negative(z)) is None + assert ask(Q.finite(a), Q.negative(x) & Q.finite(y)) is None + assert ask(Q.finite(a), Q.negative(x) & Q.finite(y) + & Q.extended_positive(z)) is None + assert ask(Q.finite(a), Q.negative(x) & Q.positive(y) + & Q.positive(z)) is True + assert ask(Q.finite(a), Q.negative(x) & Q.positive(y) + & Q.negative_infinite(z)) is False + assert ask(Q.finite(a), Q.negative(x) & Q.positive(y) + & ~Q.finite(z)) is False + assert ask(Q.finite(a), Q.negative(x) & Q.positive(y) + & Q.positive_infinite(z)) is False + assert ask(Q.finite(a), Q.negative(x) & Q.positive(y) + & Q.extended_negative(z)) is None + assert ask(Q.finite(a), Q.negative(x) & Q.extended_positive(y) + & Q.finite(y)) is None + assert ask(Q.finite(a), Q.negative(x) & Q.positive(y) + & Q.extended_positive(z)) is None + assert ask(Q.finite(a), Q.negative(x) & Q.negative_infinite(y) + & Q.negative_infinite(z)) is False + assert ask(Q.finite(a), Q.negative(x) & Q.negative_infinite(y) + & ~Q.finite(z)) is None + assert ask(Q.finite(a), Q.negative(x) & Q.negative_infinite(y) + & Q.positive_infinite(z)) is None + assert ask(Q.finite(a), Q.negative(x) & Q.negative_infinite(y) + & Q.extended_negative(z)) is False + assert ask(Q.finite(a), Q.negative(x) + & Q.negative_infinite(y)) is None + assert ask(Q.finite(a), Q.negative(x) & Q.negative_infinite(y) + & Q.extended_positive(z)) is None + assert ask(Q.finite(a), Q.negative(x) & ~Q.finite(y) + & ~Q.finite(z)) is None + assert ask(Q.finite(a), Q.negative(x) & ~Q.finite(y) + & Q.positive_infinite(z)) is None + assert ask(Q.finite(a), Q.negative(x) & ~Q.finite(y) + & Q.extended_negative(z)) is None + assert ask(Q.finite(a), Q.negative(x) & ~Q.finite(y)) is None + assert ask(Q.finite(a), Q.negative(x) & ~Q.finite(y) + & Q.extended_positive(z)) is None + assert ask(Q.finite(a), Q.negative(x) & Q.positive_infinite(y) + & Q.positive_infinite(z)) is False + assert ask(Q.finite(a), Q.negative(x) & Q.positive_infinite(y) + & Q.negative_infinite(z)) is None + assert ask(Q.finite(a), Q.negative(x) & + Q.positive_infinite(y)) is None + assert ask(Q.finite(a), Q.negative(x) & Q.positive_infinite(y) + & Q.extended_positive(z)) is False + assert ask(Q.finite(a), Q.negative(x) & Q.extended_negative(y) + & Q.extended_negative(z)) is None + assert ask(Q.finite(a), Q.negative(x) + & Q.extended_negative(y)) is None + assert ask(Q.finite(a), Q.negative(x) & Q.extended_negative(y) + & Q.extended_positive(z)) is None + assert ask(Q.finite(a), Q.negative(x)) is None + assert ask(Q.finite(a), Q.negative(x) + & Q.extended_positive(z)) is None + assert ask(Q.finite(a), Q.negative(x) & Q.extended_positive(y) + & Q.extended_positive(z)) is None + assert ask(Q.finite(a), Q.finite(x) & Q.finite(y) + & Q.finite(z)) is True + assert ask(Q.finite(a), Q.finite(x) & Q.finite(y) + & Q.positive(z)) is True + assert ask(Q.finite(a), Q.finite(x) & Q.finite(y) + & Q.negative_infinite(z)) is False + assert ask(Q.finite(a), Q.finite(x) & Q.finite(y) + & ~Q.finite(z)) is False + assert ask(Q.finite(a), Q.finite(x) & Q.finite(y) + & Q.positive_infinite(z)) is False + assert ask(Q.finite(a), Q.finite(x) & Q.finite(y) + & Q.extended_negative(z)) is None + assert ask(Q.finite(a), Q.finite(x) & Q.finite(y)) is None + assert ask(Q.finite(a), Q.finite(x) & Q.finite(y) + & Q.extended_positive(z)) is None + assert ask(Q.finite(a), Q.finite(x) & Q.positive(y) + & Q.positive(z)) is True + assert ask(Q.finite(a), Q.finite(x) & Q.positive(y) + & Q.negative_infinite(z)) is False + assert ask(Q.finite(a), Q.finite(x) & Q.positive(y) + & ~Q.finite(z)) is False + assert ask(Q.finite(a), Q.finite(x) & Q.positive(y) + & Q.positive_infinite(z)) is False + assert ask(Q.finite(a), Q.finite(x) & Q.positive(y) + & Q.extended_negative(z)) is None + assert ask(Q.finite(a), Q.finite(x) & Q.positive(y)) is None + assert ask(Q.finite(a), Q.finite(x) & Q.positive(y) + & Q.extended_positive(z)) is None + assert ask(Q.finite(a), Q.finite(x) & Q.negative_infinite(y) + & Q.negative_infinite(z)) is False + assert ask(Q.finite(a), Q.finite(x) & Q.negative_infinite(y) + & ~Q.finite(z)) is None + assert ask(Q.finite(a), Q.finite(x) & Q.negative_infinite(y) + & Q.positive_infinite(z)) is None + assert ask(Q.finite(a), Q.finite(x) & Q.negative_infinite(y) + & Q.extended_negative(z)) is False + assert ask(Q.finite(a), Q.finite(x) + & Q.negative_infinite(y)) is None + assert ask(Q.finite(a), Q.finite(x) & Q.negative_infinite(y) + & Q.extended_positive(z)) is None + assert ask(Q.finite(a), Q.finite(x) & ~Q.finite(y) + & ~Q.finite(z)) is None + assert ask(Q.finite(a), Q.finite(x) & ~Q.finite(y) + & Q.positive_infinite(z)) is None + assert ask(Q.finite(a), Q.finite(x) & ~Q.finite(y) + & Q.extended_negative(z)) is None + assert ask(Q.finite(a), Q.finite(x) & ~Q.finite(y)) is None + assert ask(Q.finite(a), Q.finite(x) & ~Q.finite(y) + & Q.extended_positive(z)) is None + assert ask(Q.finite(a), Q.finite(x) & Q.positive_infinite(y) + & Q.positive_infinite(z)) is False + assert ask(Q.finite(a), Q.finite(x) & Q.positive_infinite(y) + & Q.extended_negative(z)) is None + assert ask(Q.finite(a), Q.finite(x) + & Q.positive_infinite(y)) is None + assert ask(Q.finite(a), Q.finite(x) & Q.positive_infinite(y) + & Q.extended_positive(z)) is False + assert ask(Q.finite(a), Q.finite(x) & Q.extended_negative(y) + & Q.extended_negative(z)) is None + assert ask(Q.finite(a), Q.finite(x) + & Q.extended_negative(y)) is None + assert ask(Q.finite(a), Q.finite(x) & Q.extended_negative(y) + & Q.extended_positive(z)) is None + assert ask(Q.finite(a), Q.finite(x)) is None + assert ask(Q.finite(a), Q.finite(x) + & Q.extended_positive(z)) is None + assert ask(Q.finite(a), Q.finite(x) & Q.extended_positive(y) + & Q.extended_positive(z)) is None + assert ask(Q.finite(a), Q.positive(x) & Q.positive(y) + & Q.positive(z)) is True + assert ask(Q.finite(a), Q.positive(x) & Q.positive(y) + & Q.negative_infinite(z)) is False + assert ask(Q.finite(a), Q.positive(x) & Q.positive(y) + & ~Q.finite(z)) is False + assert ask(Q.finite(a), Q.positive(x) & Q.positive(y) + & Q.positive_infinite(z)) is False + assert ask(Q.finite(a), Q.positive(x) & Q.positive(y) + & Q.extended_negative(z)) is None + assert ask(Q.finite(a), Q.positive(x) & Q.positive(y)) is None + assert ask(Q.finite(a), Q.positive(x) & Q.positive(y) + & Q.extended_positive(z)) is None + assert ask(Q.finite(a), Q.positive(x) & Q.negative_infinite(y) + & Q.negative_infinite(z)) is False + assert ask(Q.finite(a), Q.positive(x) & Q.negative_infinite(y) + & ~Q.finite(z)) is None + assert ask(Q.finite(a), Q.positive(x) & Q.negative_infinite(y) + & Q.positive_infinite(z)) is None + assert ask(Q.finite(a), Q.positive(x) & Q.negative_infinite(y) + & Q.extended_negative(z)) is False + assert ask(Q.finite(a), Q.positive(x) + & Q.negative_infinite(y)) is None + assert ask(Q.finite(a), Q.positive(x) & Q.negative_infinite(y) + & Q.extended_positive(z)) is None + assert ask(Q.finite(a), Q.positive(x) & ~Q.finite(y) + & ~Q.finite(z)) is None + assert ask(Q.finite(a), Q.positive(x) & ~Q.finite(y) + & Q.positive_infinite(z)) is None + assert ask(Q.finite(a), Q.positive(x) & ~Q.finite(y) + & Q.extended_negative(z)) is None + assert ask(Q.finite(a), Q.positive(x) & ~Q.finite(y)) is None + assert ask(Q.finite(a), Q.positive(x) & ~Q.finite(y) + & Q.extended_positive(z)) is None + assert ask(Q.finite(a), Q.positive(x) & Q.positive_infinite(y) + & Q.positive_infinite(z)) is False + assert ask(Q.finite(a), Q.positive(x) & Q.positive_infinite(y) + & Q.extended_negative(z)) is None + assert ask(Q.finite(a), Q.positive(x) + & Q.positive_infinite(y)) is None + assert ask(Q.finite(a), Q.positive(x) & Q.positive_infinite(y) + & Q.extended_positive(z)) is False + assert ask(Q.finite(a), Q.positive(x) & Q.extended_negative(y) + & Q.extended_negative(z)) is None + assert ask(Q.finite(a), Q.positive(x) + & Q.extended_negative(y)) is None + assert ask(Q.finite(a), Q.positive(x) & Q.extended_negative(y) + & Q.extended_positive(z)) is None + assert ask(Q.finite(a), Q.positive(x)) is None + assert ask(Q.finite(a), Q.positive(x) + & Q.extended_positive(z)) is None + assert ask(Q.finite(a), Q.positive(x) & Q.extended_positive(y) + & Q.extended_positive(z)) is None + assert ask(Q.finite(a), Q.negative_infinite(x) + & Q.negative_infinite(y) & Q.negative_infinite(z)) is False + assert ask(Q.finite(a), Q.negative_infinite(x) + & Q.negative_infinite(y) & ~Q.finite(z)) is None + assert ask(Q.finite(a), Q.negative_infinite(x) + & Q.negative_infinite(y)& Q.positive_infinite(z)) is None + assert ask(Q.finite(a), Q.negative_infinite(x) + & Q.negative_infinite(y) & Q.extended_negative(z)) is False + assert ask(Q.finite(a), Q.negative_infinite(x) + & Q.negative_infinite(y)) is None + assert ask(Q.finite(a), Q.negative_infinite(x) + & Q.negative_infinite(y) & Q.extended_positive(z)) is None + assert ask(Q.finite(a), Q.negative_infinite(x) + & ~Q.finite(y) & ~Q.finite(z)) is None + assert ask(Q.finite(a), Q.negative_infinite(x) + & ~Q.finite(y) & Q.positive_infinite(z)) is None + assert ask(Q.finite(a), Q.negative_infinite(x) + & ~Q.finite(y) & Q.extended_negative(z)) is None + assert ask(Q.finite(a), Q.negative_infinite(x) + & ~Q.finite(y)) is None + assert ask(Q.finite(a), Q.negative_infinite(x) + & ~Q.finite(y) & Q.extended_positive(z)) is None + assert ask(Q.finite(a), Q.negative_infinite(x) + & Q.positive_infinite(y) & Q.positive_infinite(z)) is None + assert ask(Q.finite(a), Q.negative_infinite(x) + & Q.positive_infinite(y) & Q.extended_negative(z)) is None + assert ask(Q.finite(a), Q.negative_infinite(x) + & Q.positive_infinite(y)) is None + assert ask(Q.finite(a), Q.negative_infinite(x) + & Q.positive_infinite(y) & Q.extended_positive(z)) is None + assert ask(Q.finite(a), Q.negative_infinite(x) + & Q.extended_negative(y) & Q.extended_negative(z)) is False + assert ask(Q.finite(a), Q.negative_infinite(x) + & Q.extended_negative(y)) is None + assert ask(Q.finite(a), Q.negative_infinite(x) + & Q.extended_negative(y) & Q.extended_positive(z)) is None + assert ask(Q.finite(a), Q.negative_infinite(x)) is None + assert ask(Q.finite(a), Q.negative_infinite(x) + & Q.extended_positive(z)) is None + assert ask(Q.finite(a), Q.negative_infinite(x) + & Q.extended_positive(y) & Q.extended_positive(z)) is None + assert ask(Q.finite(a), ~Q.finite(x) & ~Q.finite(y) + & ~Q.finite(z)) is None + assert ask(Q.finite(a), ~Q.finite(x) & Q.positive_infinite(z) + & ~Q.finite(z)) is None + assert ask(Q.finite(a), ~Q.finite(x) & ~Q.finite(y) + & Q.extended_negative(z)) is None + assert ask(Q.finite(a), ~Q.finite(x) & ~Q.finite(y)) is None + assert ask(Q.finite(a), ~Q.finite(x) & ~Q.finite(y) + & Q.extended_positive(z)) is None + assert ask(Q.finite(a), ~Q.finite(x) & Q.positive_infinite(y) + & Q.positive_infinite(z)) is None + assert ask(Q.finite(a), ~Q.finite(x) & Q.positive_infinite(y) + & Q.extended_negative(z)) is None + assert ask(Q.finite(a), ~Q.finite(x) + & Q.positive_infinite(y)) is None + assert ask(Q.finite(a), ~Q.finite(x) & Q.positive_infinite(y) + & Q.extended_positive(z)) is None + assert ask(Q.finite(a), ~Q.finite(x) & Q.extended_negative(y) + & Q.extended_negative(z)) is None + assert ask(Q.finite(a), ~Q.finite(x) + & Q.extended_negative(y)) is None + assert ask(Q.finite(a), ~Q.finite(x) & Q.extended_negative(y) + & Q.extended_positive(z)) is None + assert ask(Q.finite(a), ~Q.finite(x)) is None + assert ask(Q.finite(a), ~Q.finite(x) + & Q.extended_positive(z)) is None + assert ask(Q.finite(a), ~Q.finite(x) & Q.extended_positive(y) + & Q.extended_positive(z)) is None + assert ask(Q.finite(a), Q.positive_infinite(x) + & Q.positive_infinite(y) & Q.positive_infinite(z)) is False + assert ask(Q.finite(a), Q.positive_infinite(x) + & Q.positive_infinite(y) & Q.extended_negative(z)) is None + assert ask(Q.finite(a), Q.positive_infinite(x) + & Q.positive_infinite(y)) is None + assert ask(Q.finite(a), Q.positive_infinite(x) + & Q.positive_infinite(y) & Q.extended_positive(z)) is False + assert ask(Q.finite(a), Q.positive_infinite(x) + & Q.extended_negative(y) & Q.extended_negative(z)) is None + assert ask(Q.finite(a), Q.positive_infinite(x) + & Q.extended_negative(y)) is None + assert ask(Q.finite(a), Q.positive_infinite(x) + & Q.extended_negative(y) & Q.extended_positive(z)) is None + assert ask(Q.finite(a), Q.positive_infinite(x)) is None + assert ask(Q.finite(a), Q.positive_infinite(x) + & Q.extended_positive(z)) is None + assert ask(Q.finite(a), Q.positive_infinite(x) + & Q.extended_positive(y) & Q.extended_positive(z)) is False + assert ask(Q.finite(a), Q.extended_negative(x) + & Q.extended_negative(y) & Q.extended_negative(z)) is None + assert ask(Q.finite(a), Q.extended_negative(x) + & Q.extended_negative(y)) is None + assert ask(Q.finite(a), Q.extended_negative(x) + & Q.extended_negative(y) & Q.extended_positive(z)) is None + assert ask(Q.finite(a), Q.extended_negative(x)) is None + assert ask(Q.finite(a), Q.extended_negative(x) + & Q.extended_positive(z)) is None + assert ask(Q.finite(a), Q.extended_negative(x) + & Q.extended_positive(y) & Q.extended_positive(z)) is None + assert ask(Q.finite(a)) is None + assert ask(Q.finite(a), Q.extended_positive(z)) is None + assert ask(Q.finite(a), Q.extended_positive(y) + & Q.extended_positive(z)) is None + assert ask(Q.finite(a), Q.extended_positive(x) + & Q.extended_positive(y) & Q.extended_positive(z)) is None + + assert ask(Q.finite(2*x)) is None + assert ask(Q.finite(2*x), Q.finite(x)) is True + + x, y, z = symbols('x,y,z') + a = x*y + x, y = a.args + assert ask(Q.finite(a), Q.finite(x) & Q.finite(y)) is True + assert ask(Q.finite(a), Q.finite(x) & ~Q.zero(x) & ~Q.finite(y)) is False + assert ask(Q.finite(a), Q.finite(x)) is None + assert ask(Q.finite(a), ~Q.finite(x) & Q.finite(y) &~Q.zero(y)) is False + assert ask(Q.finite(a), ~Q.finite(x) & ~Q.finite(y)) is False + assert ask(Q.finite(a), ~Q.finite(x)) is None + assert ask(Q.finite(a), Q.finite(y)) is None + assert ask(Q.finite(a), ~Q.finite(y)) is None + assert ask(Q.finite(a)) is None + a = x*y*z + x, y, z = a.args + assert ask(Q.finite(a), Q.finite(x) & Q.finite(y) + & Q.finite(z)) is True + assert ask(Q.finite(a), Q.finite(x) & ~Q.zero(x) & Q.finite(y) + & ~Q.zero(y) & ~Q.finite(z)) is False + assert ask(Q.finite(a), Q.finite(x) & Q.finite(y)) is None + assert ask(Q.finite(a), Q.finite(x) & ~Q.zero(x) & ~Q.finite(y) + & Q.finite(z) & ~Q.zero(z)) is False + assert ask(Q.finite(a), Q.finite(x) & ~Q.zero(x) & ~Q.finite(y) + & ~Q.finite(z)) is False + assert ask(Q.finite(a), Q.finite(x) & ~Q.finite(y)) is None + assert ask(Q.finite(a), Q.finite(x) & Q.finite(z)) is None + assert ask(Q.finite(a), Q.finite(x) & ~Q.finite(z)) is None + assert ask(Q.finite(a), Q.finite(x)) is None + assert ask(Q.finite(a), ~Q.finite(x) & Q.finite(y) & ~Q.zero(y) + & Q.finite(z) & ~Q.zero(z)) is False + assert ask(Q.finite(a), ~Q.finite(x) & ~Q.zero(x) & Q.finite(y) + & ~Q.zero(y) & ~Q.finite(z)) is False + assert ask(Q.finite(a), ~Q.finite(x) & Q.finite(y)) is None + assert ask(Q.finite(a), ~Q.finite(x) & ~Q.finite(y) + & Q.finite(z) & ~Q.zero(z)) is False + assert ask(Q.finite(a), ~Q.finite(x) & ~Q.finite(y) + & ~Q.finite(z)) is False + assert ask(Q.finite(a), ~Q.finite(x) & ~Q.finite(y)) is None + assert ask(Q.finite(a), ~Q.finite(x) & Q.finite(z)) is None + assert ask(Q.finite(a), ~Q.finite(x) & ~Q.finite(z)) is None + assert ask(Q.finite(a), ~Q.finite(x)) is None + assert ask(Q.finite(a), Q.finite(y) & Q.finite(z)) is None + assert ask(Q.finite(a), Q.finite(y) & ~Q.finite(z)) is None + assert ask(Q.finite(a), Q.finite(y)) is None + assert ask(Q.finite(a), ~Q.finite(y) & Q.finite(z)) is None + assert ask(Q.finite(a), ~Q.finite(y) & ~Q.finite(z)) is None + assert ask(Q.finite(a), ~Q.finite(y)) is None + assert ask(Q.finite(a), Q.finite(z)) is None + assert ask(Q.finite(a), ~Q.finite(z)) is None + assert ask(Q.finite(a), ~Q.finite(z) & Q.extended_nonzero(x) + & Q.extended_nonzero(y) & Q.extended_nonzero(z)) is None + assert ask(Q.finite(a), Q.extended_nonzero(x) & ~Q.finite(y) + & Q.extended_nonzero(y) & ~Q.finite(z) + & Q.extended_nonzero(z)) is False + + x, y, z = symbols('x,y,z') + assert ask(Q.finite(x**2)) is None + assert ask(Q.finite(2**x)) is None + assert ask(Q.finite(2**x), Q.finite(x)) is True + assert ask(Q.finite(x**x)) is None + assert ask(Q.finite(S.Half ** x)) is None + assert ask(Q.finite(S.Half ** x), Q.extended_positive(x)) is True + assert ask(Q.finite(S.Half ** x), Q.extended_negative(x)) is None + assert ask(Q.finite(2**x), Q.extended_negative(x)) is True + assert ask(Q.finite(sqrt(x))) is None + assert ask(Q.finite(2**x), ~Q.finite(x)) is False + assert ask(Q.finite(x**2), ~Q.finite(x)) is False + + # https://github.com/sympy/sympy/issues/27707 + assert ask(Q.finite(x**y), Q.real(x) & Q.real(y)) is None + assert ask(Q.finite(x**y), Q.real(x) & Q.negative(y)) is None + assert ask(Q.finite(x**y), Q.zero(x) & Q.negative(y)) is False + assert ask(Q.finite(x**y), Q.real(x) & Q.positive(y)) is True + assert ask(Q.finite(x**y), Q.nonzero(x) & Q.real(y)) is True + assert ask(Q.finite(x**y), Q.nonzero(x) & Q.negative(y)) is True + assert ask(Q.finite(x**y), Q.zero(x) & Q.positive(y)) is True + + # sign function + assert ask(Q.finite(sign(x))) is True + assert ask(Q.finite(sign(x)), ~Q.finite(x)) is True + + # exponential functions + assert ask(Q.finite(log(x))) is None + assert ask(Q.finite(log(x)), Q.finite(x)) is None + assert ask(Q.finite(log(x)), ~Q.zero(x)) is True + assert ask(Q.finite(log(x)), Q.infinite(x)) is False + assert ask(Q.finite(log(x)), Q.zero(x)) is False + assert ask(Q.finite(exp(x))) is None + assert ask(Q.finite(exp(x)), Q.finite(x)) is True + assert ask(Q.finite(exp(2))) is True + + # trigonometric functions + assert ask(Q.finite(sin(x))) is True + assert ask(Q.finite(sin(x)), ~Q.finite(x)) is True + assert ask(Q.finite(cos(x))) is True + assert ask(Q.finite(cos(x)), ~Q.finite(x)) is True + assert ask(Q.finite(2*sin(x))) is True + assert ask(Q.finite(sin(x)**2)) is True + assert ask(Q.finite(cos(x)**2)) is True + assert ask(Q.finite(cos(x) + sin(x))) is True + + +def test_unbounded(): + assert ask(Q.infinite(I * oo)) is True + assert ask(Q.infinite(1 + I*oo)) is True + assert ask(Q.infinite(3 * (I * oo))) is True + assert ask(Q.infinite(-I * oo)) is True + assert ask(Q.infinite(1 + zoo)) is True + assert ask(Q.infinite(I * zoo)) is True + assert ask(Q.infinite(x / y), Q.infinite(x) & Q.finite(y) & ~Q.zero(y)) is True + assert ask(Q.infinite(I * oo - I * oo)) is None + assert ask(Q.infinite(x * I * oo)) is None + assert ask(Q.infinite(1 / x), Q.finite(x) & ~Q.zero(x)) is False + assert ask(Q.infinite(1 / (I * oo))) is False + + +def test_issue_27441(): + # https://github.com/sympy/sympy/issues/27441 + assert ask(Q.composite(y), Q.integer(y) & Q.positive(y) & ~Q.prime(y)) is None + + +def test_issue_27447(): + x,y,z = symbols('x y z') + a = x*y + assert ask(Q.finite(a), Q.finite(x) & ~Q.finite(y)) is None + assert ask(Q.finite(a), ~Q.finite(x) & Q.finite(y)) is None + + a = x*y*z + assert ask(Q.finite(a), Q.finite(x) & Q.finite(y) + & ~Q.finite(z)) is None + assert ask(Q.finite(a), Q.finite(x) & ~Q.finite(y) + & Q.finite(z) ) is None + assert ask(Q.finite(a), Q.finite(x) & ~Q.finite(y) + & ~Q.finite(z)) is None + assert ask(Q.finite(a), ~Q.finite(x) & Q.finite(y) + & Q.finite(z)) is None + assert ask(Q.finite(a), ~Q.finite(x) & Q.finite(y) + & ~Q.finite(z)) is None + assert ask(Q.finite(a), ~Q.finite(x) & ~Q.finite(y) + & Q.finite(z)) is None + + +@XFAIL +def test_issue_27662_xfail(): + assert ask(Q.finite(x*y), ~Q.finite(x) + & Q.zero(y)) is None + + +@XFAIL +def test_bounded_xfail(): + """We need to support relations in ask for this to work""" + assert ask(Q.finite(sin(x)**x)) is True + assert ask(Q.finite(cos(x)**x)) is True + + +def test_commutative(): + """By default objects are Q.commutative that is why it returns True + for both key=True and key=False""" + assert ask(Q.commutative(x)) is True + assert ask(Q.commutative(x), ~Q.commutative(x)) is False + assert ask(Q.commutative(x), Q.complex(x)) is True + assert ask(Q.commutative(x), Q.imaginary(x)) is True + assert ask(Q.commutative(x), Q.real(x)) is True + assert ask(Q.commutative(x), Q.positive(x)) is True + assert ask(Q.commutative(x), ~Q.commutative(y)) is True + + assert ask(Q.commutative(2*x)) is True + assert ask(Q.commutative(2*x), ~Q.commutative(x)) is False + + assert ask(Q.commutative(x + 1)) is True + assert ask(Q.commutative(x + 1), ~Q.commutative(x)) is False + + assert ask(Q.commutative(x**2)) is True + assert ask(Q.commutative(x**2), ~Q.commutative(x)) is False + + assert ask(Q.commutative(log(x))) is True + + +@_both_exp_pow +def test_complex(): + assert ask(Q.complex(x)) is None + assert ask(Q.complex(x), Q.complex(x)) is True + assert ask(Q.complex(x), Q.complex(y)) is None + assert ask(Q.complex(x), ~Q.complex(x)) is False + assert ask(Q.complex(x), Q.real(x)) is True + assert ask(Q.complex(x), ~Q.real(x)) is None + assert ask(Q.complex(x), Q.rational(x)) is True + assert ask(Q.complex(x), Q.irrational(x)) is True + assert ask(Q.complex(x), Q.positive(x)) is True + assert ask(Q.complex(x), Q.imaginary(x)) is True + assert ask(Q.complex(x), Q.algebraic(x)) is True + + # a+b + assert ask(Q.complex(x + 1), Q.complex(x)) is True + assert ask(Q.complex(x + 1), Q.real(x)) is True + assert ask(Q.complex(x + 1), Q.rational(x)) is True + assert ask(Q.complex(x + 1), Q.irrational(x)) is True + assert ask(Q.complex(x + 1), Q.imaginary(x)) is True + assert ask(Q.complex(x + 1), Q.integer(x)) is True + assert ask(Q.complex(x + 1), Q.even(x)) is True + assert ask(Q.complex(x + 1), Q.odd(x)) is True + assert ask(Q.complex(x + y), Q.complex(x) & Q.complex(y)) is True + assert ask(Q.complex(x + y), Q.real(x) & Q.imaginary(y)) is True + + # a*x +b + assert ask(Q.complex(2*x + 1), Q.complex(x)) is True + assert ask(Q.complex(2*x + 1), Q.real(x)) is True + assert ask(Q.complex(2*x + 1), Q.positive(x)) is True + assert ask(Q.complex(2*x + 1), Q.rational(x)) is True + assert ask(Q.complex(2*x + 1), Q.irrational(x)) is True + assert ask(Q.complex(2*x + 1), Q.imaginary(x)) is True + assert ask(Q.complex(2*x + 1), Q.integer(x)) is True + assert ask(Q.complex(2*x + 1), Q.even(x)) is True + assert ask(Q.complex(2*x + 1), Q.odd(x)) is True + + # x**2 + assert ask(Q.complex(x**2), Q.complex(x)) is True + assert ask(Q.complex(x**2), Q.real(x)) is True + assert ask(Q.complex(x**2), Q.positive(x)) is True + assert ask(Q.complex(x**2), Q.rational(x)) is True + assert ask(Q.complex(x**2), Q.irrational(x)) is True + assert ask(Q.complex(x**2), Q.imaginary(x)) is True + assert ask(Q.complex(x**2), Q.integer(x)) is True + assert ask(Q.complex(x**2), Q.even(x)) is True + assert ask(Q.complex(x**2), Q.odd(x)) is True + + # 2**x + assert ask(Q.complex(2**x), Q.complex(x)) is True + assert ask(Q.complex(2**x), Q.real(x)) is True + assert ask(Q.complex(2**x), Q.positive(x)) is True + assert ask(Q.complex(2**x), Q.rational(x)) is True + assert ask(Q.complex(2**x), Q.irrational(x)) is True + assert ask(Q.complex(2**x), Q.imaginary(x)) is True + assert ask(Q.complex(2**x), Q.integer(x)) is True + assert ask(Q.complex(2**x), Q.even(x)) is True + assert ask(Q.complex(2**x), Q.odd(x)) is True + assert ask(Q.complex(x**y), Q.complex(x) & Q.complex(y)) is True + + # trigonometric expressions + assert ask(Q.complex(sin(x))) is True + assert ask(Q.complex(sin(2*x + 1))) is True + assert ask(Q.complex(cos(x))) is True + assert ask(Q.complex(cos(2*x + 1))) is True + + # exponential + assert ask(Q.complex(exp(x))) is True + assert ask(Q.complex(exp(x))) is True + + # Q.complexes + assert ask(Q.complex(Abs(x))) is True + assert ask(Q.complex(re(x))) is True + assert ask(Q.complex(im(x))) is True + + +def test_even_query(): + assert ask(Q.even(x)) is None + assert ask(Q.even(x), Q.integer(x)) is None + assert ask(Q.even(x), ~Q.integer(x)) is False + assert ask(Q.even(x), Q.rational(x)) is None + assert ask(Q.even(x), Q.positive(x)) is None + + assert ask(Q.even(2*x)) is None + assert ask(Q.even(2*x), Q.integer(x)) is True + assert ask(Q.even(2*x), Q.even(x)) is True + assert ask(Q.even(2*x), Q.irrational(x)) is False + assert ask(Q.even(2*x), Q.odd(x)) is True + assert ask(Q.even(2*x), ~Q.integer(x)) is None + assert ask(Q.even(3*x), Q.integer(x)) is None + assert ask(Q.even(3*x), Q.even(x)) is True + assert ask(Q.even(3*x), Q.odd(x)) is False + + assert ask(Q.even(x + 1), Q.odd(x)) is True + assert ask(Q.even(x + 1), Q.even(x)) is False + assert ask(Q.even(x + 2), Q.odd(x)) is False + assert ask(Q.even(x + 2), Q.even(x)) is True + assert ask(Q.even(7 - x), Q.odd(x)) is True + assert ask(Q.even(7 + x), Q.odd(x)) is True + assert ask(Q.even(x + y), Q.odd(x) & Q.odd(y)) is True + assert ask(Q.even(x + y), Q.odd(x) & Q.even(y)) is False + assert ask(Q.even(x + y), Q.even(x) & Q.even(y)) is True + + assert ask(Q.even(2*x + 1), Q.integer(x)) is False + assert ask(Q.even(2*x*y), Q.rational(x) & Q.rational(x)) is None + assert ask(Q.even(2*x*y), Q.irrational(x) & Q.irrational(x)) is None + + assert ask(Q.even(x + y + z), Q.odd(x) & Q.odd(y) & Q.even(z)) is True + assert ask(Q.even(x + y + z + t), + Q.odd(x) & Q.odd(y) & Q.even(z) & Q.integer(t)) is None + + assert ask(Q.even(Abs(x)), Q.even(x)) is True + assert ask(Q.even(Abs(x)), ~Q.even(x)) is None + assert ask(Q.even(re(x)), Q.even(x)) is True + assert ask(Q.even(re(x)), ~Q.even(x)) is None + assert ask(Q.even(im(x)), Q.even(x)) is True + assert ask(Q.even(im(x)), Q.real(x)) is True + + assert ask(Q.even((-1)**n), Q.integer(n)) is False + + assert ask(Q.even(k**2), Q.even(k)) is True + assert ask(Q.even(n**2), Q.odd(n)) is False + assert ask(Q.even(2**k), Q.even(k)) is None + assert ask(Q.even(x**2)) is None + + assert ask(Q.even(k**m), Q.even(k) & Q.integer(m) & ~Q.negative(m)) is None + assert ask(Q.even(n**m), Q.odd(n) & Q.integer(m) & ~Q.negative(m)) is False + + assert ask(Q.even(k**p), Q.even(k) & Q.integer(p) & Q.positive(p)) is True + assert ask(Q.even(n**p), Q.odd(n) & Q.integer(p) & Q.positive(p)) is False + + assert ask(Q.even(m**k), Q.even(k) & Q.integer(m) & ~Q.negative(m)) is None + assert ask(Q.even(p**k), Q.even(k) & Q.integer(p) & Q.positive(p)) is None + + assert ask(Q.even(m**n), Q.odd(n) & Q.integer(m) & ~Q.negative(m)) is None + assert ask(Q.even(p**n), Q.odd(n) & Q.integer(p) & Q.positive(p)) is None + + assert ask(Q.even(k**x), Q.even(k)) is None + assert ask(Q.even(n**x), Q.odd(n)) is None + + assert ask(Q.even(x*y), Q.integer(x) & Q.integer(y)) is None + assert ask(Q.even(x*x), Q.integer(x)) is None + assert ask(Q.even(x*(x + y)), Q.integer(x) & Q.odd(y)) is True + assert ask(Q.even(x*(x + y)), Q.integer(x) & Q.even(y)) is None + + +@XFAIL +def test_evenness_in_ternary_integer_product_with_odd(): + # Tests that oddness inference is independent of term ordering. + # Term ordering at the point of testing depends on SymPy's symbol order, so + # we try to force a different order by modifying symbol names. + assert ask(Q.even(x*y*(y + z)), Q.integer(x) & Q.integer(y) & Q.odd(z)) is True + assert ask(Q.even(y*x*(x + z)), Q.integer(x) & Q.integer(y) & Q.odd(z)) is True + + +def test_evenness_in_ternary_integer_product_with_even(): + assert ask(Q.even(x*y*(y + z)), Q.integer(x) & Q.integer(y) & Q.even(z)) is None + + +def test_extended_real(): + assert ask(Q.extended_real(x), Q.positive_infinite(x)) is True + assert ask(Q.extended_real(x), Q.positive(x)) is True + assert ask(Q.extended_real(x), Q.zero(x)) is True + assert ask(Q.extended_real(x), Q.negative(x)) is True + assert ask(Q.extended_real(x), Q.negative_infinite(x)) is True + + assert ask(Q.extended_real(-x), Q.positive(x)) is True + assert ask(Q.extended_real(-x), Q.negative(x)) is True + + assert ask(Q.extended_real(x + S.Infinity), Q.real(x)) is True + + assert ask(Q.extended_real(x), Q.infinite(x)) is None + + +@_both_exp_pow +def test_rational(): + assert ask(Q.rational(x), Q.integer(x)) is True + assert ask(Q.rational(x), Q.irrational(x)) is False + assert ask(Q.rational(x), Q.real(x)) is None + assert ask(Q.rational(x), Q.positive(x)) is None + assert ask(Q.rational(x), Q.negative(x)) is None + assert ask(Q.rational(x), Q.nonzero(x)) is None + assert ask(Q.rational(x), ~Q.algebraic(x)) is False + + assert ask(Q.rational(2*x), Q.rational(x)) is True + assert ask(Q.rational(2*x), Q.integer(x)) is True + assert ask(Q.rational(2*x), Q.even(x)) is True + assert ask(Q.rational(2*x), Q.odd(x)) is True + assert ask(Q.rational(2*x), Q.irrational(x)) is False + + assert ask(Q.rational(x/2), Q.rational(x)) is True + assert ask(Q.rational(x/2), Q.integer(x)) is True + assert ask(Q.rational(x/2), Q.even(x)) is True + assert ask(Q.rational(x/2), Q.odd(x)) is True + assert ask(Q.rational(x/2), Q.irrational(x)) is False + + assert ask(Q.rational(1/x), Q.rational(x) & Q.nonzero(x)) is True + assert ask(Q.rational(1/x), Q.integer(x) & Q.nonzero(x)) is True + assert ask(Q.rational(1/x), Q.even(x) & Q.nonzero(x)) is True + assert ask(Q.rational(1/x), Q.odd(x)) is True + assert ask(Q.rational(1/x), Q.irrational(x)) is False + + assert ask(Q.rational(2/x), Q.rational(x) & Q.nonzero(x)) is True + assert ask(Q.rational(2/x), Q.integer(x) & Q.nonzero(x)) is True + assert ask(Q.rational(2/x), Q.even(x) & Q.nonzero(x)) is True + assert ask(Q.rational(2/x), Q.odd(x)) is True + assert ask(Q.rational(2/x), Q.irrational(x)) is False + + assert ask(Q.rational(x), ~Q.algebraic(x)) is False + + # with multiple symbols + assert ask(Q.rational(x*y), Q.irrational(x) & Q.irrational(y)) is None + assert ask(Q.rational(y/x), Q.rational(x) & Q.rational(y) & Q.nonzero(x)) is True + assert ask(Q.rational(y/x), Q.integer(x) & Q.rational(y) & Q.nonzero(x)) is True + assert ask(Q.rational(y/x), Q.even(x) & Q.rational(y) & Q.nonzero(x)) is True + assert ask(Q.rational(y/x), Q.odd(x) & Q.rational(y)) is True + assert ask(Q.rational(y/x), Q.irrational(x) & Q.rational(y) & Q.nonzero(y)) is False + + for f in [exp, sin, tan, asin, atan, cos]: + assert ask(Q.rational(f(7))) is False + assert ask(Q.rational(f(7, evaluate=False))) is False + assert ask(Q.rational(f(0, evaluate=False))) is True + assert ask(Q.rational(f(x)), Q.rational(x)) is None + assert ask(Q.rational(f(x)), Q.rational(x) & Q.nonzero(x)) is False + + for g in [log, acos]: + assert ask(Q.rational(g(7))) is False + assert ask(Q.rational(g(7, evaluate=False))) is False + assert ask(Q.rational(g(1, evaluate=False))) is True + assert ask(Q.rational(g(x)), Q.rational(x)) is None + assert ask(Q.rational(g(x)), Q.rational(x) & Q.nonzero(x - 1)) is False + + for h in [cot, acot]: + assert ask(Q.rational(h(7))) is False + assert ask(Q.rational(h(7, evaluate=False))) is False + assert ask(Q.rational(h(x)), Q.rational(x)) is False + + # https://github.com/sympy/sympy/issues/27442 + assert ask(Q.rational(x**y),Q.irrational(x) & Q.rational(y)) is None + assert ask(Q.rational(x**y),Q.integer(x) & Q.prime(x) & Q.rational(y)) is None + assert ask(Q.rational(x**y),Q.integer(x) & Q.integer(y)) is None + assert ask(Q.rational(x**y),Q.integer(x) & Q.eq(x,0) & Q.integer(y)) is None + assert ask(Q.rational(x**y),Q.eq(x,1) & Q.rational(y)) is None + assert ask(Q.rational(x**y),Q.eq(x,-1) & Q.rational(y)) is None + assert ask(Q.rational(x**y), Q.prime(x) & Q.rational(y)) is None + assert ask(Q.rational(x**y), ~Q.rational(x) & Q.integer(y) ) is None + assert ask(Q.rational(Pow(-1, x, evaluate=False), Q.rational(x))) is None + assert ask(Q.rational(x**y), Q.integer(y) & ~Q. algebraic(x)) is None + assert ask(Q.rational(x**y), Q.integer(y) & ~Q. algebraic(x) & ~Q.zero(x)) is None + assert ask(Q.rational(x**y), Q.integer(y) & ~Q.algebraic(x) & Q.complex(x) & ~Q.real(x)) is None + assert ask(Q.rational(x**y), Q.integer(y) & ~Q.algebraic(x) & Q.complex(x)) is None + + +def test_hermitian(): + assert ask(Q.hermitian(x)) is None + assert ask(Q.hermitian(x), Q.antihermitian(x)) is None + assert ask(Q.hermitian(x), Q.imaginary(x)) is False + assert ask(Q.hermitian(x), Q.prime(x)) is True + assert ask(Q.hermitian(x), Q.real(x)) is True + assert ask(Q.hermitian(x), Q.zero(x)) is True + + assert ask(Q.hermitian(x + 1), Q.antihermitian(x)) is None + assert ask(Q.hermitian(x + 1), Q.complex(x)) is None + assert ask(Q.hermitian(x + 1), Q.hermitian(x)) is True + assert ask(Q.hermitian(x + 1), Q.imaginary(x)) is False + assert ask(Q.hermitian(x + 1), Q.real(x)) is True + assert ask(Q.hermitian(x + I), Q.antihermitian(x)) is None + assert ask(Q.hermitian(x + I), Q.complex(x)) is None + assert ask(Q.hermitian(x + I), Q.hermitian(x)) is False + assert ask(Q.hermitian(x + I), Q.imaginary(x)) is None + assert ask(Q.hermitian(x + I), Q.real(x)) is False + assert ask( + Q.hermitian(x + y), Q.antihermitian(x) & Q.antihermitian(y)) is None + assert ask(Q.hermitian(x + y), Q.antihermitian(x) & Q.complex(y)) is None + assert ask( + Q.hermitian(x + y), Q.antihermitian(x) & Q.hermitian(y)) is None + assert ask(Q.hermitian(x + y), Q.antihermitian(x) & Q.imaginary(y)) is None + assert ask(Q.hermitian(x + y), Q.antihermitian(x) & Q.real(y)) is None + assert ask(Q.hermitian(x + y), Q.hermitian(x) & Q.complex(y)) is None + assert ask(Q.hermitian(x + y), Q.hermitian(x) & Q.hermitian(y)) is True + assert ask(Q.hermitian(x + y), Q.hermitian(x) & Q.imaginary(y)) is False + assert ask(Q.hermitian(x + y), Q.hermitian(x) & Q.real(y)) is True + assert ask(Q.hermitian(x + y), Q.imaginary(x) & Q.complex(y)) is None + assert ask(Q.hermitian(x + y), Q.imaginary(x) & Q.imaginary(y)) is None + assert ask(Q.hermitian(x + y), Q.imaginary(x) & Q.real(y)) is False + assert ask(Q.hermitian(x + y), Q.real(x) & Q.complex(y)) is None + assert ask(Q.hermitian(x + y), Q.real(x) & Q.real(y)) is True + + assert ask(Q.hermitian(I*x), Q.antihermitian(x)) is True + assert ask(Q.hermitian(I*x), Q.complex(x)) is None + assert ask(Q.hermitian(I*x), Q.hermitian(x)) is False + assert ask(Q.hermitian(I*x), Q.imaginary(x)) is True + assert ask(Q.hermitian(I*x), Q.real(x)) is False + assert ask(Q.hermitian(x*y), Q.hermitian(x) & Q.real(y)) is True + + assert ask( + Q.hermitian(x + y + z), Q.real(x) & Q.real(y) & Q.real(z)) is True + assert ask(Q.hermitian(x + y + z), + Q.real(x) & Q.real(y) & Q.imaginary(z)) is False + assert ask(Q.hermitian(x + y + z), + Q.real(x) & Q.imaginary(y) & Q.imaginary(z)) is None + assert ask(Q.hermitian(x + y + z), + Q.imaginary(x) & Q.imaginary(y) & Q.imaginary(z)) is None + + assert ask(Q.antihermitian(x)) is None + assert ask(Q.antihermitian(x), Q.real(x)) is False + assert ask(Q.antihermitian(x), Q.prime(x)) is False + + assert ask(Q.antihermitian(x + 1), Q.antihermitian(x)) is False + assert ask(Q.antihermitian(x + 1), Q.complex(x)) is None + assert ask(Q.antihermitian(x + 1), Q.hermitian(x)) is None + assert ask(Q.antihermitian(x + 1), Q.imaginary(x)) is False + assert ask(Q.antihermitian(x + 1), Q.real(x)) is None + assert ask(Q.antihermitian(x + I), Q.antihermitian(x)) is True + assert ask(Q.antihermitian(x + I), Q.complex(x)) is None + assert ask(Q.antihermitian(x + I), Q.hermitian(x)) is None + assert ask(Q.antihermitian(x + I), Q.imaginary(x)) is True + assert ask(Q.antihermitian(x + I), Q.real(x)) is False + assert ask(Q.antihermitian(x), Q.zero(x)) is True + + assert ask( + Q.antihermitian(x + y), Q.antihermitian(x) & Q.antihermitian(y) + ) is True + assert ask( + Q.antihermitian(x + y), Q.antihermitian(x) & Q.complex(y)) is None + assert ask( + Q.antihermitian(x + y), Q.antihermitian(x) & Q.hermitian(y)) is None + assert ask( + Q.antihermitian(x + y), Q.antihermitian(x) & Q.imaginary(y)) is True + assert ask(Q.antihermitian(x + y), Q.antihermitian(x) & Q.real(y) + ) is False + assert ask(Q.antihermitian(x + y), Q.hermitian(x) & Q.complex(y)) is None + assert ask(Q.antihermitian(x + y), Q.hermitian(x) & Q.hermitian(y) + ) is None + assert ask( + Q.antihermitian(x + y), Q.hermitian(x) & Q.imaginary(y)) is None + assert ask(Q.antihermitian(x + y), Q.hermitian(x) & Q.real(y)) is None + assert ask(Q.antihermitian(x + y), Q.imaginary(x) & Q.complex(y)) is None + assert ask(Q.antihermitian(x + y), Q.imaginary(x) & Q.imaginary(y)) is True + assert ask(Q.antihermitian(x + y), Q.imaginary(x) & Q.real(y)) is False + assert ask(Q.antihermitian(x + y), Q.real(x) & Q.complex(y)) is None + assert ask(Q.antihermitian(x + y), Q.real(x) & Q.real(y)) is None + + assert ask(Q.antihermitian(I*x), Q.real(x)) is True + assert ask(Q.antihermitian(I*x), Q.antihermitian(x)) is False + assert ask(Q.antihermitian(I*x), Q.complex(x)) is None + assert ask(Q.antihermitian(x*y), Q.antihermitian(x) & Q.real(y)) is True + + assert ask(Q.antihermitian(x + y + z), + Q.real(x) & Q.real(y) & Q.real(z)) is None + assert ask(Q.antihermitian(x + y + z), + Q.real(x) & Q.real(y) & Q.imaginary(z)) is None + assert ask(Q.antihermitian(x + y + z), + Q.real(x) & Q.imaginary(y) & Q.imaginary(z)) is False + assert ask(Q.antihermitian(x + y + z), + Q.imaginary(x) & Q.imaginary(y) & Q.imaginary(z)) is True + + +@_both_exp_pow +def test_imaginary(): + assert ask(Q.imaginary(x)) is None + assert ask(Q.imaginary(x), Q.real(x)) is False + assert ask(Q.imaginary(x), Q.prime(x)) is False + + assert ask(Q.imaginary(x + 1), Q.real(x)) is False + assert ask(Q.imaginary(x + 1), Q.imaginary(x)) is False + assert ask(Q.imaginary(x + I), Q.real(x)) is False + assert ask(Q.imaginary(x + I), Q.imaginary(x)) is True + assert ask(Q.imaginary(x + y), Q.imaginary(x) & Q.imaginary(y)) is True + assert ask(Q.imaginary(x + y), Q.real(x) & Q.real(y)) is False + assert ask(Q.imaginary(x + y), Q.imaginary(x) & Q.real(y)) is False + assert ask(Q.imaginary(x + y), Q.complex(x) & Q.real(y)) is None + assert ask( + Q.imaginary(x + y + z), Q.real(x) & Q.real(y) & Q.real(z)) is False + assert ask(Q.imaginary(x + y + z), + Q.real(x) & Q.real(y) & Q.imaginary(z)) is None + assert ask(Q.imaginary(x + y + z), + Q.real(x) & Q.imaginary(y) & Q.imaginary(z)) is False + + assert ask(Q.imaginary(I*x), Q.real(x)) is True + assert ask(Q.imaginary(I*x), Q.imaginary(x)) is False + assert ask(Q.imaginary(I*x), Q.complex(x)) is None + assert ask(Q.imaginary(x*y), Q.imaginary(x) & Q.real(y)) is True + assert ask(Q.imaginary(x*y), Q.real(x) & Q.real(y)) is False + + assert ask(Q.imaginary(I**x), Q.negative(x)) is None + assert ask(Q.imaginary(I**x), Q.positive(x)) is None + assert ask(Q.imaginary(I**x), Q.even(x)) is False + assert ask(Q.imaginary(I**x), Q.odd(x)) is True + assert ask(Q.imaginary(I**x), Q.imaginary(x)) is False + assert ask(Q.imaginary((2*I)**x), Q.imaginary(x)) is False + assert ask(Q.imaginary(x**0), Q.imaginary(x)) is False + assert ask(Q.imaginary(x**y), Q.imaginary(x) & Q.imaginary(y)) is None + assert ask(Q.imaginary(x**y), Q.imaginary(x) & Q.real(y)) is None + assert ask(Q.imaginary(x**y), Q.real(x) & Q.imaginary(y)) is None + assert ask(Q.imaginary(x**y), Q.real(x) & Q.real(y)) is None + assert ask(Q.imaginary(x**y), Q.imaginary(x) & Q.integer(y)) is None + assert ask(Q.imaginary(x**y), Q.imaginary(y) & Q.integer(x)) is None + assert ask(Q.imaginary(x**y), Q.imaginary(x) & Q.odd(y)) is True + assert ask(Q.imaginary(x**y), Q.imaginary(x) & Q.rational(y)) is None + assert ask(Q.imaginary(x**y), Q.imaginary(x) & Q.even(y)) is False + + assert ask(Q.imaginary(x**y), Q.real(x) & Q.integer(y)) is False + assert ask(Q.imaginary(x**y), Q.positive(x) & Q.real(y)) is False + assert ask(Q.imaginary(x**y), Q.negative(x) & Q.real(y)) is None + assert ask(Q.imaginary(x**y), Q.negative(x) & Q.real(y) & ~Q.rational(y)) is False + assert ask(Q.imaginary(x**y), Q.integer(x) & Q.imaginary(y)) is None + assert ask(Q.imaginary(x**y), Q.negative(x) & Q.rational(y) & Q.integer(2*y)) is True + assert ask(Q.imaginary(x**y), Q.negative(x) & Q.rational(y) & ~Q.integer(2*y)) is False + assert ask(Q.imaginary(x**y), Q.negative(x) & Q.rational(y)) is None + assert ask(Q.imaginary(x**y), Q.real(x) & Q.rational(y) & ~Q.integer(2*y)) is False + assert ask(Q.imaginary(x**y), Q.real(x) & Q.rational(y) & Q.integer(2*y)) is None + + # logarithm + assert ask(Q.imaginary(log(I))) is True + assert ask(Q.imaginary(log(2*I))) is False + assert ask(Q.imaginary(log(I + 1))) is False + assert ask(Q.imaginary(log(x)), Q.complex(x)) is None + assert ask(Q.imaginary(log(x)), Q.imaginary(x)) is None + assert ask(Q.imaginary(log(x)), Q.positive(x)) is False + assert ask(Q.imaginary(log(exp(x))), Q.complex(x)) is None + assert ask(Q.imaginary(log(exp(x))), Q.imaginary(x)) is None # zoo/I/a+I*b + assert ask(Q.imaginary(log(exp(I)))) is True + + # exponential + assert ask(Q.imaginary(exp(x)**x), Q.imaginary(x)) is False + eq = Pow(exp(pi*I*x, evaluate=False), x, evaluate=False) + assert ask(Q.imaginary(eq), Q.even(x)) is False + eq = Pow(exp(pi*I*x/2, evaluate=False), x, evaluate=False) + assert ask(Q.imaginary(eq), Q.odd(x)) is True + assert ask(Q.imaginary(exp(3*I*pi*x)**x), Q.integer(x)) is False + assert ask(Q.imaginary(exp(2*pi*I, evaluate=False))) is False + assert ask(Q.imaginary(exp(pi*I/2, evaluate=False))) is True + + # issue 7886 + assert ask(Q.imaginary(Pow(x, Rational(1, 4))), Q.real(x) & Q.negative(x)) is False + + +def test_integer(): + assert ask(Q.integer(x)) is None + assert ask(Q.integer(x), Q.integer(x)) is True + assert ask(Q.integer(x), ~Q.integer(x)) is False + assert ask(Q.integer(x), ~Q.real(x)) is False + assert ask(Q.integer(x), ~Q.positive(x)) is None + assert ask(Q.integer(x), Q.even(x) | Q.odd(x)) is True + + assert ask(Q.integer(2*x), Q.integer(x)) is True + assert ask(Q.integer(2*x), Q.even(x)) is True + assert ask(Q.integer(2*x), Q.prime(x)) is True + assert ask(Q.integer(2*x), Q.rational(x)) is None + assert ask(Q.integer(2*x), Q.real(x)) is None + assert ask(Q.integer(sqrt(2)*x), Q.integer(x)) is False + assert ask(Q.integer(sqrt(2)*x), Q.irrational(x)) is None + + assert ask(Q.integer(x/2), Q.odd(x)) is False + assert ask(Q.integer(x/2), Q.even(x)) is True + assert ask(Q.integer(x/3), Q.odd(x)) is None + assert ask(Q.integer(x/3), Q.even(x)) is None + + # https://github.com/sympy/sympy/issues/7286 + assert ask(Q.integer(Abs(x)),Q.integer(x)) is True + assert ask(Q.integer(Abs(-x)),Q.integer(x)) is True + assert ask(Q.integer(Abs(x)), ~Q.integer(x)) is None + assert ask(Q.integer(Abs(x)),Q.complex(x)) is None + assert ask(Q.integer(Abs(x+I*y)),Q.real(x) & Q.real(y)) is None + + # https://github.com/sympy/sympy/issues/27739 + assert ask(Q.integer(x/y), Q.integer(x) & Q.integer(y)) is None + assert ask(Q.integer(1/x), Q.integer(x)) is None + assert ask(Q.integer(x**y), Q.integer(x) & Q.integer(y)) is None + assert ask(Q.integer(sqrt(5))) is False + assert ask(Q.integer(x**y), Q.nonzero(x) & Q.zero(y)) is True + assert ask(Q.integer(x**y), Q.integer(x) & Q.integer(y) & Q.positive(y)) is True + assert ask(Q.integer(-1**x), Q.integer(x)) is True + assert ask(Q.integer(x**y), Q.integer(x) & Q.integer(y) & Q.positive(y)) is True + assert ask(Q.integer(x**y), Q.zero(x) & Q.integer(y) & Q.positive(y)) is True + assert ask(Q.integer(pi**x), Q.zero(x)) is True + assert ask(Q.integer(x**y), Q.imaginary(x) & Q.zero(y)) is True + + +def test_negative(): + assert ask(Q.negative(x), Q.negative(x)) is True + assert ask(Q.negative(x), Q.positive(x)) is False + assert ask(Q.negative(x), ~Q.real(x)) is False + assert ask(Q.negative(x), Q.prime(x)) is False + assert ask(Q.negative(x), ~Q.prime(x)) is None + + assert ask(Q.negative(-x), Q.positive(x)) is True + assert ask(Q.negative(-x), ~Q.positive(x)) is None + assert ask(Q.negative(-x), Q.negative(x)) is False + assert ask(Q.negative(-x), Q.positive(x)) is True + + assert ask(Q.negative(x - 1), Q.negative(x)) is True + assert ask(Q.negative(x + y)) is None + assert ask(Q.negative(x + y), Q.negative(x)) is None + assert ask(Q.negative(x + y), Q.negative(x) & Q.negative(y)) is True + assert ask(Q.negative(x + y), Q.negative(x) & Q.nonpositive(y)) is True + assert ask(Q.negative(2 + I)) is False + # although this could be False, it is representative of expressions + # that don't evaluate to a zero with precision + assert ask(Q.negative(cos(I)**2 + sin(I)**2 - 1)) is None + assert ask(Q.negative(-I + I*(cos(2)**2 + sin(2)**2))) is None + + assert ask(Q.negative(x**2)) is None + assert ask(Q.negative(x**2), Q.real(x)) is False + assert ask(Q.negative(x**1.4), Q.real(x)) is None + + assert ask(Q.negative(x**I), Q.positive(x)) is None + + assert ask(Q.negative(x*y)) is None + assert ask(Q.negative(x*y), Q.positive(x) & Q.positive(y)) is False + assert ask(Q.negative(x*y), Q.positive(x) & Q.negative(y)) is True + assert ask(Q.negative(x*y), Q.complex(x) & Q.complex(y)) is None + + assert ask(Q.negative(x**y)) is None + assert ask(Q.negative(x**y), Q.negative(x) & Q.even(y)) is False + assert ask(Q.negative(x**y), Q.negative(x) & Q.odd(y)) is True + assert ask(Q.negative(x**y), Q.positive(x) & Q.integer(y)) is False + + assert ask(Q.negative(Abs(x))) is False + + +def test_nonzero(): + assert ask(Q.nonzero(x)) is None + assert ask(Q.nonzero(x), Q.real(x)) is None + assert ask(Q.nonzero(x), Q.positive(x)) is True + assert ask(Q.nonzero(x), Q.negative(x)) is True + assert ask(Q.nonzero(x), Q.negative(x) | Q.positive(x)) is True + + assert ask(Q.nonzero(x + y)) is None + assert ask(Q.nonzero(x + y), Q.positive(x) & Q.positive(y)) is True + assert ask(Q.nonzero(x + y), Q.positive(x) & Q.negative(y)) is None + assert ask(Q.nonzero(x + y), Q.negative(x) & Q.negative(y)) is True + + assert ask(Q.nonzero(2*x)) is None + assert ask(Q.nonzero(2*x), Q.positive(x)) is True + assert ask(Q.nonzero(2*x), Q.negative(x)) is True + assert ask(Q.nonzero(x*y), Q.nonzero(x)) is None + assert ask(Q.nonzero(x*y), Q.nonzero(x) & Q.nonzero(y)) is True + + assert ask(Q.nonzero(x**y), Q.nonzero(x)) is True + + assert ask(Q.nonzero(Abs(x))) is None + assert ask(Q.nonzero(Abs(x)), Q.nonzero(x)) is True + + assert ask(Q.nonzero(log(exp(2*I)))) is False + # although this could be False, it is representative of expressions + # that don't evaluate to a zero with precision + assert ask(Q.nonzero(cos(1)**2 + sin(1)**2 - 1)) is None + + +def test_zero(): + assert ask(Q.zero(x)) is None + assert ask(Q.zero(x), Q.real(x)) is None + assert ask(Q.zero(x), Q.positive(x)) is False + assert ask(Q.zero(x), Q.negative(x)) is False + assert ask(Q.zero(x), Q.negative(x) | Q.positive(x)) is False + + assert ask(Q.zero(x), Q.nonnegative(x) & Q.nonpositive(x)) is True + + assert ask(Q.zero(x + y)) is None + assert ask(Q.zero(x + y), Q.positive(x) & Q.positive(y)) is False + assert ask(Q.zero(x + y), Q.positive(x) & Q.negative(y)) is None + assert ask(Q.zero(x + y), Q.negative(x) & Q.negative(y)) is False + + assert ask(Q.zero(2*x)) is None + assert ask(Q.zero(2*x), Q.positive(x)) is False + assert ask(Q.zero(2*x), Q.negative(x)) is False + assert ask(Q.zero(x*y), Q.nonzero(x)) is None + + assert ask(Q.zero(Abs(x))) is None + assert ask(Q.zero(Abs(x)), Q.zero(x)) is True + + assert ask(Q.integer(x), Q.zero(x)) is True + assert ask(Q.even(x), Q.zero(x)) is True + assert ask(Q.odd(x), Q.zero(x)) is False + assert ask(Q.zero(x), Q.even(x)) is None + assert ask(Q.zero(x), Q.odd(x)) is False + assert ask(Q.zero(x) | Q.zero(y), Q.zero(x*y)) is True + + +def test_odd_query(): + assert ask(Q.odd(x)) is None + assert ask(Q.odd(x), Q.odd(x)) is True + assert ask(Q.odd(x), Q.integer(x)) is None + assert ask(Q.odd(x), ~Q.integer(x)) is False + assert ask(Q.odd(x), Q.rational(x)) is None + assert ask(Q.odd(x), Q.positive(x)) is None + + assert ask(Q.odd(-x), Q.odd(x)) is True + + assert ask(Q.odd(2*x)) is None + assert ask(Q.odd(2*x), Q.integer(x)) is False + assert ask(Q.odd(2*x), Q.odd(x)) is False + assert ask(Q.odd(2*x), Q.irrational(x)) is False + assert ask(Q.odd(2*x), ~Q.integer(x)) is None + assert ask(Q.odd(3*x), Q.integer(x)) is None + + assert ask(Q.odd(x/3), Q.odd(x)) is None + assert ask(Q.odd(x/3), Q.even(x)) is None + + assert ask(Q.odd(x + 1), Q.even(x)) is True + assert ask(Q.odd(x + 2), Q.even(x)) is False + assert ask(Q.odd(x + 2), Q.odd(x)) is True + assert ask(Q.odd(3 - x), Q.odd(x)) is False + assert ask(Q.odd(3 - x), Q.even(x)) is True + assert ask(Q.odd(3 + x), Q.odd(x)) is False + assert ask(Q.odd(3 + x), Q.even(x)) is True + assert ask(Q.odd(x + y), Q.odd(x) & Q.odd(y)) is False + assert ask(Q.odd(x + y), Q.odd(x) & Q.even(y)) is True + assert ask(Q.odd(x - y), Q.even(x) & Q.odd(y)) is True + assert ask(Q.odd(x - y), Q.odd(x) & Q.odd(y)) is False + + assert ask(Q.odd(x + y + z), Q.odd(x) & Q.odd(y) & Q.even(z)) is False + assert ask(Q.odd(x + y + z + t), + Q.odd(x) & Q.odd(y) & Q.even(z) & Q.integer(t)) is None + + assert ask(Q.odd(2*x + 1), Q.integer(x)) is True + assert ask(Q.odd(2*x + y), Q.integer(x) & Q.odd(y)) is True + assert ask(Q.odd(2*x + y), Q.integer(x) & Q.even(y)) is False + assert ask(Q.odd(2*x + y), Q.integer(x) & Q.integer(y)) is None + assert ask(Q.odd(x*y), Q.odd(x) & Q.even(y)) is False + assert ask(Q.odd(x*y), Q.odd(x) & Q.odd(y)) is True + assert ask(Q.odd(2*x*y), Q.rational(x) & Q.rational(x)) is None + assert ask(Q.odd(2*x*y), Q.irrational(x) & Q.irrational(x)) is None + + assert ask(Q.odd(Abs(x)), Q.odd(x)) is True + + assert ask(Q.odd((-1)**n), Q.integer(n)) is True + + assert ask(Q.odd(k**2), Q.even(k)) is False + assert ask(Q.odd(n**2), Q.odd(n)) is True + assert ask(Q.odd(3**k), Q.even(k)) is None + + assert ask(Q.odd(k**m), Q.even(k) & Q.integer(m) & ~Q.negative(m)) is None + assert ask(Q.odd(n**m), Q.odd(n) & Q.integer(m) & ~Q.negative(m)) is True + + assert ask(Q.odd(k**p), Q.even(k) & Q.integer(p) & Q.positive(p)) is False + assert ask(Q.odd(n**p), Q.odd(n) & Q.integer(p) & Q.positive(p)) is True + + assert ask(Q.odd(m**k), Q.even(k) & Q.integer(m) & ~Q.negative(m)) is None + assert ask(Q.odd(p**k), Q.even(k) & Q.integer(p) & Q.positive(p)) is None + + assert ask(Q.odd(m**n), Q.odd(n) & Q.integer(m) & ~Q.negative(m)) is None + assert ask(Q.odd(p**n), Q.odd(n) & Q.integer(p) & Q.positive(p)) is None + + assert ask(Q.odd(k**x), Q.even(k)) is None + assert ask(Q.odd(n**x), Q.odd(n)) is None + + assert ask(Q.odd(x*y), Q.integer(x) & Q.integer(y)) is None + assert ask(Q.odd(x*x), Q.integer(x)) is None + assert ask(Q.odd(x*(x + y)), Q.integer(x) & Q.odd(y)) is False + assert ask(Q.odd(x*(x + y)), Q.integer(x) & Q.even(y)) is None + + +@XFAIL +def test_oddness_in_ternary_integer_product_with_odd(): + # Tests that oddness inference is independent of term ordering. + # Term ordering at the point of testing depends on SymPy's symbol order, so + # we try to force a different order by modifying symbol names. + assert ask(Q.odd(x*y*(y + z)), Q.integer(x) & Q.integer(y) & Q.odd(z)) is False + assert ask(Q.odd(y*x*(x + z)), Q.integer(x) & Q.integer(y) & Q.odd(z)) is False + + +def test_oddness_in_ternary_integer_product_with_even(): + assert ask(Q.odd(x*y*(y + z)), Q.integer(x) & Q.integer(y) & Q.even(z)) is None + + +def test_prime(): + assert ask(Q.prime(x), Q.prime(x)) is True + assert ask(Q.prime(x), ~Q.prime(x)) is False + assert ask(Q.prime(x), Q.integer(x)) is None + assert ask(Q.prime(x), ~Q.integer(x)) is False + + assert ask(Q.prime(2*x), Q.integer(x)) is None + assert ask(Q.prime(x*y)) is None + assert ask(Q.prime(x*y), Q.prime(x)) is None + assert ask(Q.prime(x*y), Q.integer(x) & Q.integer(y)) is None + assert ask(Q.prime(4*x), Q.integer(x)) is False + assert ask(Q.prime(4*x)) is None + + assert ask(Q.prime(x**2), Q.integer(x)) is False + assert ask(Q.prime(x**2), Q.prime(x)) is False + + # https://github.com/sympy/sympy/issues/27446 + assert ask(Q.prime(4**x), Q.integer(x)) is False + assert ask(Q.prime(p**x), Q.prime(p) & Q.integer(x) & Q.ne(x, 1)) is False + assert ask(Q.prime(n**x), Q.integer(x) & Q.composite(n)) is False + assert ask(Q.prime(x**y), Q.integer(x) & Q.integer(y)) is None + assert ask(Q.prime(2**x), Q.integer(x)) is None + assert ask(Q.prime(p**x), Q.prime(p) & Q.integer(x)) is None + + # Ideally, these should return True since the base is prime and the exponent is one, + # but currently, they return None. + assert ask(Q.prime(x**y), Q.prime(x) & Q.eq(y,1)) is None + assert ask(Q.prime(x**y), Q.prime(x) & Q.integer(y) & Q.gt(y,0) & Q.lt(y,2)) is None + + assert ask(Q.prime(Pow(x,1, evaluate=False)), Q.prime(x)) is True + + +@_both_exp_pow +def test_positive(): + assert ask(Q.positive(cos(I) ** 2 + sin(I) ** 2 - 1)) is None + assert ask(Q.positive(x), Q.positive(x)) is True + assert ask(Q.positive(x), Q.negative(x)) is False + assert ask(Q.positive(x), Q.nonzero(x)) is None + + assert ask(Q.positive(-x), Q.positive(x)) is False + assert ask(Q.positive(-x), Q.negative(x)) is True + + assert ask(Q.positive(x + y), Q.positive(x) & Q.positive(y)) is True + assert ask(Q.positive(x + y), Q.positive(x) & Q.nonnegative(y)) is True + assert ask(Q.positive(x + y), Q.positive(x) & Q.negative(y)) is None + assert ask(Q.positive(x + y), Q.positive(x) & Q.imaginary(y)) is False + + assert ask(Q.positive(2*x), Q.positive(x)) is True + assumptions = Q.positive(x) & Q.negative(y) & Q.negative(z) & Q.positive(w) + assert ask(Q.positive(x*y*z)) is None + assert ask(Q.positive(x*y*z), assumptions) is True + assert ask(Q.positive(-x*y*z), assumptions) is False + + assert ask(Q.positive(x**I), Q.positive(x)) is None + + assert ask(Q.positive(x**2), Q.positive(x)) is True + assert ask(Q.positive(x**2), Q.negative(x)) is True + assert ask(Q.positive(x**3), Q.negative(x)) is False + assert ask(Q.positive(1/(1 + x**2)), Q.real(x)) is True + assert ask(Q.positive(2**I)) is False + assert ask(Q.positive(2 + I)) is False + # although this could be False, it is representative of expressions + # that don't evaluate to a zero with precision + assert ask(Q.positive(cos(I)**2 + sin(I)**2 - 1)) is None + assert ask(Q.positive(-I + I*(cos(2)**2 + sin(2)**2))) is None + + #exponential + assert ask(Q.positive(exp(x)), Q.real(x)) is True + assert ask(~Q.negative(exp(x)), Q.real(x)) is True + assert ask(Q.positive(x + exp(x)), Q.real(x)) is None + assert ask(Q.positive(exp(x)), Q.imaginary(x)) is None + assert ask(Q.positive(exp(2*pi*I, evaluate=False)), Q.imaginary(x)) is True + assert ask(Q.negative(exp(pi*I, evaluate=False)), Q.imaginary(x)) is True + assert ask(Q.positive(exp(x*pi*I)), Q.even(x)) is True + assert ask(Q.positive(exp(x*pi*I)), Q.odd(x)) is False + assert ask(Q.positive(exp(x*pi*I)), Q.real(x)) is None + + # logarithm + assert ask(Q.positive(log(x)), Q.imaginary(x)) is False + assert ask(Q.positive(log(x)), Q.negative(x)) is False + assert ask(Q.positive(log(x)), Q.positive(x)) is None + assert ask(Q.positive(log(x + 2)), Q.positive(x)) is True + + # factorial + assert ask(Q.positive(factorial(x)), Q.integer(x) & Q.positive(x)) + assert ask(Q.positive(factorial(x)), Q.integer(x)) is None + + #absolute value + assert ask(Q.positive(Abs(x))) is None # Abs(0) = 0 + assert ask(Q.positive(Abs(x)), Q.positive(x)) is True + + +def test_nonpositive(): + assert ask(Q.nonpositive(-1)) + assert ask(Q.nonpositive(0)) + assert ask(Q.nonpositive(1)) is False + assert ask(~Q.positive(x), Q.nonpositive(x)) + assert ask(Q.nonpositive(x), Q.positive(x)) is False + assert ask(Q.nonpositive(sqrt(-1))) is False + assert ask(Q.nonpositive(x), Q.imaginary(x)) is False + + +def test_nonnegative(): + assert ask(Q.nonnegative(-1)) is False + assert ask(Q.nonnegative(0)) + assert ask(Q.nonnegative(1)) + assert ask(~Q.negative(x), Q.nonnegative(x)) + assert ask(Q.nonnegative(x), Q.negative(x)) is False + assert ask(Q.nonnegative(sqrt(-1))) is False + assert ask(Q.nonnegative(x), Q.imaginary(x)) is False + +def test_real_basic(): + assert ask(Q.real(x)) is None + assert ask(Q.real(x), Q.real(x)) is True + assert ask(Q.real(x), Q.nonzero(x)) is True + assert ask(Q.real(x), Q.positive(x)) is True + assert ask(Q.real(x), Q.negative(x)) is True + assert ask(Q.real(x), Q.integer(x)) is True + assert ask(Q.real(x), Q.even(x)) is True + assert ask(Q.real(x), Q.prime(x)) is True + + assert ask(Q.real(x/sqrt(2)), Q.real(x)) is True + assert ask(Q.real(x/sqrt(-2)), Q.real(x)) is False + + assert ask(Q.real(x + 1), Q.real(x)) is True + assert ask(Q.real(x + I), Q.real(x)) is False + assert ask(Q.real(x + I), Q.complex(x)) is None + + assert ask(Q.real(2*x), Q.real(x)) is True + assert ask(Q.real(I*x), Q.real(x)) is False + assert ask(Q.real(I*x), Q.imaginary(x)) is True + assert ask(Q.real(I*x), Q.complex(x)) is None + + +def test_real_pow(): + assert ask(Q.real(x**2), Q.real(x)) is True + assert ask(Q.real(sqrt(x)), Q.negative(x)) is False + assert ask(Q.real(x**y), Q.real(x) & Q.integer(y)) is None + assert ask(Q.real(x**y), Q.real(x) & Q.real(y)) is None + assert ask(Q.real(x**y), Q.positive(x) & Q.real(y)) is True + assert ask(Q.real(x**y), Q.imaginary(x) & Q.imaginary(y)) is None # I**I or (2*I)**I + assert ask(Q.real(x**y), Q.imaginary(x) & Q.real(y)) is None # I**1 or I**0 + assert ask(Q.real(x**y), Q.real(x) & Q.imaginary(y)) is None # could be exp(2*pi*I) or 2**I + assert ask(Q.real(x**0), Q.imaginary(x)) is True + assert ask(Q.real(x**y), Q.positive(x) & Q.real(y)) is True + assert ask(Q.real(x**y), Q.real(x) & Q.rational(y)) is None + assert ask(Q.real(x**y), Q.imaginary(x) & Q.integer(y)) is None + assert ask(Q.real(x**y), Q.imaginary(x) & Q.odd(y)) is False + assert ask(Q.real(x**y), Q.imaginary(x) & Q.even(y)) is True + assert ask(Q.real(x**(y/z)), Q.real(x) & Q.real(y/z) & Q.rational(y/z) & Q.even(z) & Q.positive(x)) is True + assert ask(Q.real(x**(y/z)), Q.real(x) & Q.rational(y/z) & Q.even(z) & Q.negative(x)) is None + assert ask(Q.real(x**(y/z)), Q.real(x) & Q.integer(y/z)) is None + assert ask(Q.real(x**(y/z)), Q.real(x) & Q.real(y/z) & Q.positive(x)) is True + assert ask(Q.real(x**(y/z)), Q.real(x) & Q.real(y/z) & Q.negative(x)) is None + assert ask(Q.real((-I)**i), Q.imaginary(i)) is True + assert ask(Q.real(I**i), Q.imaginary(i)) is True + assert ask(Q.real(i**i), Q.imaginary(i)) is None # i might be 2*I + assert ask(Q.real(x**i), Q.imaginary(i)) is None # x could be 0 + assert ask(Q.real(x**(I*pi/log(x))), Q.real(x)) is True + + # https://github.com/sympy/sympy/issues/27485 + assert ask(Q.real(n**p), Q.negative(n) & Q.positive(p)) is None + + # https://github.com/sympy/sympy/issues/16530 + assert ask(Q.real(1/Abs(x))) is None + assert ask(Q.real(x**y), Q.zero(x) & Q.real(y)) is None + assert ask(Q.real(x**y), Q.zero(x) & Q.positive(y)) is True + + +@_both_exp_pow +def test_real_functions(): + # trigonometric functions + assert ask(Q.real(sin(x))) is None + assert ask(Q.real(cos(x))) is None + assert ask(Q.real(sin(x)), Q.real(x)) is True + assert ask(Q.real(cos(x)), Q.real(x)) is True + + # exponential function + assert ask(Q.real(exp(x))) is None + assert ask(Q.real(exp(x)), Q.real(x)) is True + assert ask(Q.real(x + exp(x)), Q.real(x)) is True + assert ask(Q.real(exp(2*pi*I, evaluate=False))) is True + assert ask(Q.real(exp(pi*I, evaluate=False))) is True + assert ask(Q.real(exp(pi*I/2, evaluate=False))) is False + + # logarithm + assert ask(Q.real(log(I))) is False + assert ask(Q.real(log(2*I))) is False + assert ask(Q.real(log(I + 1))) is False + assert ask(Q.real(log(x)), Q.complex(x)) is None + assert ask(Q.real(log(x)), Q.imaginary(x)) is False + assert ask(Q.real(log(exp(x))), Q.imaginary(x)) is None # exp(2*pi*I) is 1, log(exp(pi*I)) is pi*I (disregarding periodicity) + assert ask(Q.real(log(exp(x))), Q.complex(x)) is None + eq = Pow(exp(2*pi*I*x, evaluate=False), x, evaluate=False) + assert ask(Q.real(eq), Q.integer(x)) is True + assert ask(Q.real(exp(x)**x), Q.imaginary(x)) is True + assert ask(Q.real(exp(x)**x), Q.complex(x)) is None + + # Q.complexes + assert ask(Q.real(re(x))) is True + assert ask(Q.real(im(x))) is True + + +def test_matrix(): + + # hermitian + assert ask(Q.hermitian(Matrix([[2, 2 + I, 4], [2 - I, 3, I], [4, -I, 1]]))) == True + assert ask(Q.hermitian(Matrix([[2, 2 + I, 4], [2 + I, 3, I], [4, -I, 1]]))) == False + z = symbols('z', complex=True) + assert ask(Q.hermitian(Matrix([[2, 2 + I, z], [2 - I, 3, I], [4, -I, 1]]))) == None + assert ask(Q.hermitian(SparseMatrix(((25, 15, -5), (15, 18, 0), (-5, 0, 11))))) == True + assert ask(Q.hermitian(SparseMatrix(((25, 15, -5), (15, I, 0), (-5, 0, 11))))) == False + assert ask(Q.hermitian(SparseMatrix(((25, 15, -5), (15, z, 0), (-5, 0, 11))))) == None + + # antihermitian + A = Matrix([[0, -2 - I, 0], [2 - I, 0, -I], [0, -I, 0]]) + B = Matrix([[-I, 2 + I, 0], [-2 + I, 0, 2 + I], [0, -2 + I, -I]]) + assert ask(Q.antihermitian(A)) is True + assert ask(Q.antihermitian(B)) is True + assert ask(Q.antihermitian(A**2)) is False + C = (B**3) + C.simplify() + assert ask(Q.antihermitian(C)) is True + _A = Matrix([[0, -2 - I, 0], [z, 0, -I], [0, -I, 0]]) + assert ask(Q.antihermitian(_A)) is None + + +@_both_exp_pow +def test_algebraic(): + assert ask(Q.algebraic(x)) is None + + assert ask(Q.algebraic(I)) is True + assert ask(Q.algebraic(2*I)) is True + assert ask(Q.algebraic(I/3)) is True + + assert ask(Q.algebraic(sqrt(7))) is True + assert ask(Q.algebraic(2*sqrt(7))) is True + assert ask(Q.algebraic(sqrt(7)/3)) is True + + assert ask(Q.algebraic(I*sqrt(3))) is True + assert ask(Q.algebraic(sqrt(1 + I*sqrt(3)))) is True + + assert ask(Q.algebraic(1 + I*sqrt(3)**Rational(17, 31))) is True + assert ask(Q.algebraic(1 + I*sqrt(3)**(17/pi))) is None + + for f in [exp, sin, tan, asin, atan, cos]: + assert ask(Q.algebraic(f(7))) is False + assert ask(Q.algebraic(f(7, evaluate=False))) is False + assert ask(Q.algebraic(f(0, evaluate=False))) is True + assert ask(Q.algebraic(f(x)), Q.algebraic(x)) is None + assert ask(Q.algebraic(f(x)), Q.algebraic(x) & Q.nonzero(x)) is False + + for g in [log, acos]: + assert ask(Q.algebraic(g(7))) is False + assert ask(Q.algebraic(g(7, evaluate=False))) is False + assert ask(Q.algebraic(g(1, evaluate=False))) is True + assert ask(Q.algebraic(g(x)), Q.algebraic(x)) is None + assert ask(Q.algebraic(g(x)), Q.algebraic(x) & Q.nonzero(x - 1)) is False + + for h in [cot, acot]: + assert ask(Q.algebraic(h(7))) is False + assert ask(Q.algebraic(h(7, evaluate=False))) is False + assert ask(Q.algebraic(h(x)), Q.algebraic(x)) is False + + assert ask(Q.algebraic(sqrt(sin(7)))) is None + assert ask(Q.algebraic(sqrt(y + I*sqrt(7)))) is None + + assert ask(Q.algebraic(2.47)) is True + + assert ask(Q.algebraic(x), Q.transcendental(x)) is False + assert ask(Q.transcendental(x), Q.algebraic(x)) is False + + #https://github.com/sympy/sympy/issues/27445 + assert ask(Q.algebraic(Pow(1, x, evaluate=False)), Q.algebraic(x)) is None + assert ask(Q.algebraic(Pow(x, y))) is None + assert ask(Q.algebraic(Pow(1, x, evaluate=False))) is None + assert ask(Q.algebraic(x**(pi*I))) is None + assert ask(Q.algebraic(pi**n),Q.integer(n) & Q.positive(n)) is False + assert ask(Q.algebraic(x**y),Q.algebraic(x) & Q.rational(y)) is True + + +def test_global(): + """Test ask with global assumptions""" + assert ask(Q.integer(x)) is None + global_assumptions.add(Q.integer(x)) + assert ask(Q.integer(x)) is True + global_assumptions.clear() + assert ask(Q.integer(x)) is None + + +def test_custom_context(): + """Test ask with custom assumptions context""" + assert ask(Q.integer(x)) is None + local_context = AssumptionsContext() + local_context.add(Q.integer(x)) + assert ask(Q.integer(x), context=local_context) is True + assert ask(Q.integer(x)) is None + + +def test_functions_in_assumptions(): + assert ask(Q.negative(x), Q.real(x) >> Q.positive(x)) is False + assert ask(Q.negative(x), Equivalent(Q.real(x), Q.positive(x))) is False + assert ask(Q.negative(x), Xor(Q.real(x), Q.negative(x))) is False + + +def test_composite_ask(): + assert ask(Q.negative(x) & Q.integer(x), + assumptions=Q.real(x) >> Q.positive(x)) is False + + +def test_composite_proposition(): + assert ask(True) is True + assert ask(False) is False + assert ask(~Q.negative(x), Q.positive(x)) is True + assert ask(~Q.real(x), Q.commutative(x)) is None + assert ask(Q.negative(x) & Q.integer(x), Q.positive(x)) is False + assert ask(Q.negative(x) & Q.integer(x)) is None + assert ask(Q.real(x) | Q.integer(x), Q.positive(x)) is True + assert ask(Q.real(x) | Q.integer(x)) is None + assert ask(Q.real(x) >> Q.positive(x), Q.negative(x)) is False + assert ask(Implies( + Q.real(x), Q.positive(x), evaluate=False), Q.negative(x)) is False + assert ask(Implies(Q.real(x), Q.positive(x), evaluate=False)) is None + assert ask(Equivalent(Q.integer(x), Q.even(x)), Q.even(x)) is True + assert ask(Equivalent(Q.integer(x), Q.even(x))) is None + assert ask(Equivalent(Q.positive(x), Q.integer(x)), Q.integer(x)) is None + assert ask(Q.real(x) | Q.integer(x), Q.real(x) | Q.integer(x)) is True + +def test_tautology(): + assert ask(Q.real(x) | ~Q.real(x)) is True + assert ask(Q.real(x) & ~Q.real(x)) is False + +def test_composite_assumptions(): + assert ask(Q.real(x), Q.real(x) & Q.real(y)) is True + assert ask(Q.positive(x), Q.positive(x) | Q.positive(y)) is None + assert ask(Q.positive(x), Q.real(x) >> Q.positive(y)) is None + assert ask(Q.real(x), ~(Q.real(x) >> Q.real(y))) is True + +def test_key_extensibility(): + """test that you can add keys to the ask system at runtime""" + # make sure the key is not defined + raises(AttributeError, lambda: ask(Q.my_key(x))) + + # Old handler system + class MyAskHandler(AskHandler): + @staticmethod + def Symbol(expr, assumptions): + return True + try: + with warns_deprecated_sympy(): + register_handler('my_key', MyAskHandler) + with warns_deprecated_sympy(): + assert ask(Q.my_key(x)) is True + with warns_deprecated_sympy(): + assert ask(Q.my_key(x + 1)) is None + finally: + # We have to disable the stacklevel testing here because this raises + # the warning twice from two different places + with warns_deprecated_sympy(): + remove_handler('my_key', MyAskHandler) + del Q.my_key + raises(AttributeError, lambda: ask(Q.my_key(x))) + + # New handler system + class MyPredicate(Predicate): + pass + try: + Q.my_key = MyPredicate() + @Q.my_key.register(Symbol) + def _(expr, assumptions): + return True + assert ask(Q.my_key(x)) is True + assert ask(Q.my_key(x+1)) is None + finally: + del Q.my_key + raises(AttributeError, lambda: ask(Q.my_key(x))) + + +def test_type_extensibility(): + """test that new types can be added to the ask system at runtime + """ + from sympy.core import Basic + + class MyType(Basic): + pass + + @Q.prime.register(MyType) + def _(expr, assumptions): + return True + + assert ask(Q.prime(MyType())) is True + + +def test_single_fact_lookup(): + known_facts = And(Implies(Q.integer, Q.rational), + Implies(Q.rational, Q.real), + Implies(Q.real, Q.complex)) + known_facts_keys = {Q.integer, Q.rational, Q.real, Q.complex} + + known_facts_cnf = to_cnf(known_facts) + mapping = single_fact_lookup(known_facts_keys, known_facts_cnf) + + assert mapping[Q.rational] == {Q.real, Q.rational, Q.complex} + + +def test_generate_known_facts_dict(): + known_facts = And(Implies(Q.integer(x), Q.rational(x)), + Implies(Q.rational(x), Q.real(x)), + Implies(Q.real(x), Q.complex(x))) + known_facts_keys = {Q.integer(x), Q.rational(x), Q.real(x), Q.complex(x)} + + assert generate_known_facts_dict(known_facts_keys, known_facts) == \ + {Q.complex: ({Q.complex}, set()), + Q.integer: ({Q.complex, Q.integer, Q.rational, Q.real}, set()), + Q.rational: ({Q.complex, Q.rational, Q.real}, set()), + Q.real: ({Q.complex, Q.real}, set())} + + +@slow +def test_known_facts_consistent(): + """"Test that ask_generated.py is up-to-date""" + x = Symbol('x') + fact = get_known_facts(x) + # test cnf clauses of fact between unary predicates + cnf = CNF.to_CNF(fact) + clauses = set() + clauses.update(frozenset(Literal(lit.arg.function, lit.is_Not) for lit in sorted(cl, key=str)) for cl in cnf.clauses) + assert get_all_known_facts() == clauses + # test dictionary of fact between unary predicates + keys = [pred(x) for pred in get_known_facts_keys()] + mapping = generate_known_facts_dict(keys, fact) + assert get_known_facts_dict() == mapping + + +def test_Add_queries(): + assert ask(Q.prime(12345678901234567890 + (cos(1)**2 + sin(1)**2))) is True + assert ask(Q.even(Add(S(2), S(2), evaluate=False))) is True + assert ask(Q.prime(Add(S(2), S(2), evaluate=False))) is False + assert ask(Q.integer(Add(S(2), S(2), evaluate=False))) is True + + +def test_positive_assuming(): + with assuming(Q.positive(x + 1)): + assert not ask(Q.positive(x)) + + +def test_issue_5421(): + raises(TypeError, lambda: ask(pi/log(x), Q.real)) + + +def test_issue_3906(): + raises(TypeError, lambda: ask(Q.positive)) + + +def test_issue_5833(): + assert ask(Q.positive(log(x)**2), Q.positive(x)) is None + assert ask(~Q.negative(log(x)**2), Q.positive(x)) is True + + +def test_issue_6732(): + raises(ValueError, lambda: ask(Q.positive(x), Q.positive(x) & Q.negative(x))) + raises(ValueError, lambda: ask(Q.negative(x), Q.positive(x) & Q.negative(x))) + + +def test_issue_7246(): + assert ask(Q.positive(atan(p)), Q.positive(p)) is True + assert ask(Q.positive(atan(p)), Q.negative(p)) is False + assert ask(Q.positive(atan(p)), Q.zero(p)) is False + assert ask(Q.positive(atan(x))) is None + + assert ask(Q.positive(asin(p)), Q.positive(p)) is None + assert ask(Q.positive(asin(p)), Q.zero(p)) is None + assert ask(Q.positive(asin(Rational(1, 7)))) is True + assert ask(Q.positive(asin(x)), Q.positive(x) & Q.nonpositive(x - 1)) is True + assert ask(Q.positive(asin(x)), Q.negative(x) & Q.nonnegative(x + 1)) is False + + assert ask(Q.positive(acos(p)), Q.positive(p)) is None + assert ask(Q.positive(acos(Rational(1, 7)))) is True + assert ask(Q.positive(acos(x)), Q.nonnegative(x + 1) & Q.nonpositive(x - 1)) is True + assert ask(Q.positive(acos(x)), Q.nonnegative(x - 1)) is None + + assert ask(Q.positive(acot(x)), Q.positive(x)) is True + assert ask(Q.positive(acot(x)), Q.real(x)) is True + assert ask(Q.positive(acot(x)), Q.imaginary(x)) is False + assert ask(Q.positive(acot(x))) is None + + +@XFAIL +def test_issue_7246_failing(): + #Move this test to test_issue_7246 once + #the new assumptions module is improved. + assert ask(Q.positive(acos(x)), Q.zero(x)) is True + + +def test_check_old_assumption(): + x = symbols('x', real=True) + assert ask(Q.real(x)) is True + assert ask(Q.imaginary(x)) is False + assert ask(Q.complex(x)) is True + + x = symbols('x', imaginary=True) + assert ask(Q.real(x)) is False + assert ask(Q.imaginary(x)) is True + assert ask(Q.complex(x)) is True + + x = symbols('x', complex=True) + assert ask(Q.real(x)) is None + assert ask(Q.complex(x)) is True + + x = symbols('x', positive=True) + assert ask(Q.positive(x)) is True + assert ask(Q.negative(x)) is False + assert ask(Q.real(x)) is True + + x = symbols('x', commutative=False) + assert ask(Q.commutative(x)) is False + + x = symbols('x', negative=True) + assert ask(Q.positive(x)) is False + assert ask(Q.negative(x)) is True + + x = symbols('x', nonnegative=True) + assert ask(Q.negative(x)) is False + assert ask(Q.positive(x)) is None + assert ask(Q.zero(x)) is None + + x = symbols('x', finite=True) + assert ask(Q.finite(x)) is True + + x = symbols('x', prime=True) + assert ask(Q.prime(x)) is True + assert ask(Q.composite(x)) is False + + x = symbols('x', composite=True) + assert ask(Q.prime(x)) is False + assert ask(Q.composite(x)) is True + + x = symbols('x', even=True) + assert ask(Q.even(x)) is True + assert ask(Q.odd(x)) is False + + x = symbols('x', odd=True) + assert ask(Q.even(x)) is False + assert ask(Q.odd(x)) is True + + x = symbols('x', nonzero=True) + assert ask(Q.nonzero(x)) is True + assert ask(Q.zero(x)) is False + + x = symbols('x', zero=True) + assert ask(Q.zero(x)) is True + + x = symbols('x', integer=True) + assert ask(Q.integer(x)) is True + + x = symbols('x', rational=True) + assert ask(Q.rational(x)) is True + assert ask(Q.irrational(x)) is False + + x = symbols('x', irrational=True) + assert ask(Q.irrational(x)) is True + assert ask(Q.rational(x)) is False + + +def test_issue_9636(): + assert ask(Q.integer(1.0)) is None + assert ask(Q.prime(3.0)) is None + assert ask(Q.composite(4.0)) is None + assert ask(Q.even(2.0)) is None + assert ask(Q.odd(3.0)) is None + + +def test_autosimp_used_to_fail(): + # See issue #9807 + assert ask(Q.imaginary(0**I)) is None + assert ask(Q.imaginary(0**(-I))) is None + assert ask(Q.real(0**I)) is None + assert ask(Q.real(0**(-I))) is None + + +def test_custom_AskHandler(): + from sympy.logic.boolalg import conjuncts + + # Old handler system + class MersenneHandler(AskHandler): + @staticmethod + def Integer(expr, assumptions): + if ask(Q.integer(log(expr + 1, 2))): + return True + @staticmethod + def Symbol(expr, assumptions): + if expr in conjuncts(assumptions): + return True + try: + with warns_deprecated_sympy(): + register_handler('mersenne', MersenneHandler) + n = Symbol('n', integer=True) + with warns_deprecated_sympy(): + assert ask(Q.mersenne(7)) + with warns_deprecated_sympy(): + assert ask(Q.mersenne(n), Q.mersenne(n)) + finally: + del Q.mersenne + + # New handler system + class MersennePredicate(Predicate): + pass + try: + Q.mersenne = MersennePredicate() + @Q.mersenne.register(Integer) + def _(expr, assumptions): + if ask(Q.integer(log(expr + 1, 2))): + return True + @Q.mersenne.register(Symbol) + def _(expr, assumptions): + if expr in conjuncts(assumptions): + return True + assert ask(Q.mersenne(7)) + assert ask(Q.mersenne(n), Q.mersenne(n)) + finally: + del Q.mersenne + + +def test_polyadic_predicate(): + + class SexyPredicate(Predicate): + pass + try: + Q.sexyprime = SexyPredicate() + + @Q.sexyprime.register(Integer, Integer) + def _(int1, int2, assumptions): + args = sorted([int1, int2]) + if not all(ask(Q.prime(a), assumptions) for a in args): + return False + return args[1] - args[0] == 6 + + @Q.sexyprime.register(Integer, Integer, Integer) + def _(int1, int2, int3, assumptions): + args = sorted([int1, int2, int3]) + if not all(ask(Q.prime(a), assumptions) for a in args): + return False + return args[2] - args[1] == 6 and args[1] - args[0] == 6 + + assert ask(Q.sexyprime(5, 11)) + assert ask(Q.sexyprime(7, 13, 19)) + finally: + del Q.sexyprime + + +def test_Predicate_handler_is_unique(): + + # Undefined predicate does not have a handler + assert Predicate('mypredicate').handler is None + + # Handler of defined predicate is unique to the class + class MyPredicate(Predicate): + pass + mp1 = MyPredicate(Str('mp1')) + mp2 = MyPredicate(Str('mp2')) + assert mp1.handler is mp2.handler + + +def test_relational(): + assert ask(Q.eq(x, 0), Q.zero(x)) + assert not ask(Q.eq(x, 0), Q.nonzero(x)) + assert not ask(Q.ne(x, 0), Q.zero(x)) + assert ask(Q.ne(x, 0), Q.nonzero(x)) + + +def test_issue_25221(): + assert ask(Q.transcendental(x), Q.algebraic(x) | Q.positive(y,y)) is None + assert ask(Q.transcendental(x), Q.algebraic(x) | (0 > y)) is None + assert ask(Q.transcendental(x), Q.algebraic(x) | Q.gt(0,y)) is None + + +def test_issue_27440(): + nan = S.NaN + assert ask(Q.negative(nan)) is None diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/tests/test_refine.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/tests/test_refine.py new file mode 100644 index 0000000000000000000000000000000000000000..81533a88b232cd5c3cfb9be17d09dad404d679dc --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/tests/test_refine.py @@ -0,0 +1,227 @@ +from sympy.assumptions.ask import Q +from sympy.assumptions.refine import refine +from sympy.core.expr import Expr +from sympy.core.numbers import (I, Rational, nan, pi) +from sympy.core.singleton import S +from sympy.core.symbol import Symbol +from sympy.functions.elementary.complexes import (Abs, arg, im, re, sign) +from sympy.functions.elementary.exponential import exp +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.trigonometric import (atan, atan2) +from sympy.abc import w, x, y, z +from sympy.core.relational import Eq, Ne +from sympy.functions.elementary.piecewise import Piecewise +from sympy.matrices.expressions.matexpr import MatrixSymbol + + +def test_Abs(): + assert refine(Abs(x), Q.positive(x)) == x + assert refine(1 + Abs(x), Q.positive(x)) == 1 + x + assert refine(Abs(x), Q.negative(x)) == -x + assert refine(1 + Abs(x), Q.negative(x)) == 1 - x + + assert refine(Abs(x**2)) != x**2 + assert refine(Abs(x**2), Q.real(x)) == x**2 + + +def test_pow1(): + assert refine((-1)**x, Q.even(x)) == 1 + assert refine((-1)**x, Q.odd(x)) == -1 + assert refine((-2)**x, Q.even(x)) == 2**x + + # nested powers + assert refine(sqrt(x**2)) != Abs(x) + assert refine(sqrt(x**2), Q.complex(x)) != Abs(x) + assert refine(sqrt(x**2), Q.real(x)) == Abs(x) + assert refine(sqrt(x**2), Q.positive(x)) == x + assert refine((x**3)**Rational(1, 3)) != x + + assert refine((x**3)**Rational(1, 3), Q.real(x)) != x + assert refine((x**3)**Rational(1, 3), Q.positive(x)) == x + + assert refine(sqrt(1/x), Q.real(x)) != 1/sqrt(x) + assert refine(sqrt(1/x), Q.positive(x)) == 1/sqrt(x) + + # powers of (-1) + assert refine((-1)**(x + y), Q.even(x)) == (-1)**y + assert refine((-1)**(x + y + z), Q.odd(x) & Q.odd(z)) == (-1)**y + assert refine((-1)**(x + y + 1), Q.odd(x)) == (-1)**y + assert refine((-1)**(x + y + 2), Q.odd(x)) == (-1)**(y + 1) + assert refine((-1)**(x + 3)) == (-1)**(x + 1) + + # continuation + assert refine((-1)**((-1)**x/2 - S.Half), Q.integer(x)) == (-1)**x + assert refine((-1)**((-1)**x/2 + S.Half), Q.integer(x)) == (-1)**(x + 1) + assert refine((-1)**((-1)**x/2 + 5*S.Half), Q.integer(x)) == (-1)**(x + 1) + + +def test_pow2(): + assert refine((-1)**((-1)**x/2 - 7*S.Half), Q.integer(x)) == (-1)**(x + 1) + assert refine((-1)**((-1)**x/2 - 9*S.Half), Q.integer(x)) == (-1)**x + + # powers of Abs + assert refine(Abs(x)**2, Q.real(x)) == x**2 + assert refine(Abs(x)**3, Q.real(x)) == Abs(x)**3 + assert refine(Abs(x)**2) == Abs(x)**2 + + +def test_exp(): + x = Symbol('x', integer=True) + assert refine(exp(pi*I*2*x)) == 1 + assert refine(exp(pi*I*2*(x + S.Half))) == -1 + assert refine(exp(pi*I*2*(x + Rational(1, 4)))) == I + assert refine(exp(pi*I*2*(x + Rational(3, 4)))) == -I + + +def test_Piecewise(): + assert refine(Piecewise((1, x < 0), (3, True)), (x < 0)) == 1 + assert refine(Piecewise((1, x < 0), (3, True)), ~(x < 0)) == 3 + assert refine(Piecewise((1, x < 0), (3, True)), (y < 0)) == \ + Piecewise((1, x < 0), (3, True)) + assert refine(Piecewise((1, x > 0), (3, True)), (x > 0)) == 1 + assert refine(Piecewise((1, x > 0), (3, True)), ~(x > 0)) == 3 + assert refine(Piecewise((1, x > 0), (3, True)), (y > 0)) == \ + Piecewise((1, x > 0), (3, True)) + assert refine(Piecewise((1, x <= 0), (3, True)), (x <= 0)) == 1 + assert refine(Piecewise((1, x <= 0), (3, True)), ~(x <= 0)) == 3 + assert refine(Piecewise((1, x <= 0), (3, True)), (y <= 0)) == \ + Piecewise((1, x <= 0), (3, True)) + assert refine(Piecewise((1, x >= 0), (3, True)), (x >= 0)) == 1 + assert refine(Piecewise((1, x >= 0), (3, True)), ~(x >= 0)) == 3 + assert refine(Piecewise((1, x >= 0), (3, True)), (y >= 0)) == \ + Piecewise((1, x >= 0), (3, True)) + assert refine(Piecewise((1, Eq(x, 0)), (3, True)), (Eq(x, 0)))\ + == 1 + assert refine(Piecewise((1, Eq(x, 0)), (3, True)), (Eq(0, x)))\ + == 1 + assert refine(Piecewise((1, Eq(x, 0)), (3, True)), ~(Eq(x, 0)))\ + == 3 + assert refine(Piecewise((1, Eq(x, 0)), (3, True)), ~(Eq(0, x)))\ + == 3 + assert refine(Piecewise((1, Eq(x, 0)), (3, True)), (Eq(y, 0)))\ + == Piecewise((1, Eq(x, 0)), (3, True)) + assert refine(Piecewise((1, Ne(x, 0)), (3, True)), (Ne(x, 0)))\ + == 1 + assert refine(Piecewise((1, Ne(x, 0)), (3, True)), ~(Ne(x, 0)))\ + == 3 + assert refine(Piecewise((1, Ne(x, 0)), (3, True)), (Ne(y, 0)))\ + == Piecewise((1, Ne(x, 0)), (3, True)) + + +def test_atan2(): + assert refine(atan2(y, x), Q.real(y) & Q.positive(x)) == atan(y/x) + assert refine(atan2(y, x), Q.negative(y) & Q.positive(x)) == atan(y/x) + assert refine(atan2(y, x), Q.negative(y) & Q.negative(x)) == atan(y/x) - pi + assert refine(atan2(y, x), Q.positive(y) & Q.negative(x)) == atan(y/x) + pi + assert refine(atan2(y, x), Q.zero(y) & Q.negative(x)) == pi + assert refine(atan2(y, x), Q.positive(y) & Q.zero(x)) == pi/2 + assert refine(atan2(y, x), Q.negative(y) & Q.zero(x)) == -pi/2 + assert refine(atan2(y, x), Q.zero(y) & Q.zero(x)) is nan + + +def test_re(): + assert refine(re(x), Q.real(x)) == x + assert refine(re(x), Q.imaginary(x)) is S.Zero + assert refine(re(x+y), Q.real(x) & Q.real(y)) == x + y + assert refine(re(x+y), Q.real(x) & Q.imaginary(y)) == x + assert refine(re(x*y), Q.real(x) & Q.real(y)) == x * y + assert refine(re(x*y), Q.real(x) & Q.imaginary(y)) == 0 + assert refine(re(x*y*z), Q.real(x) & Q.real(y) & Q.real(z)) == x * y * z + + +def test_im(): + assert refine(im(x), Q.imaginary(x)) == -I*x + assert refine(im(x), Q.real(x)) is S.Zero + assert refine(im(x+y), Q.imaginary(x) & Q.imaginary(y)) == -I*x - I*y + assert refine(im(x+y), Q.real(x) & Q.imaginary(y)) == -I*y + assert refine(im(x*y), Q.imaginary(x) & Q.real(y)) == -I*x*y + assert refine(im(x*y), Q.imaginary(x) & Q.imaginary(y)) == 0 + assert refine(im(1/x), Q.imaginary(x)) == -I/x + assert refine(im(x*y*z), Q.imaginary(x) & Q.imaginary(y) + & Q.imaginary(z)) == -I*x*y*z + + +def test_complex(): + assert refine(re(1/(x + I*y)), Q.real(x) & Q.real(y)) == \ + x/(x**2 + y**2) + assert refine(im(1/(x + I*y)), Q.real(x) & Q.real(y)) == \ + -y/(x**2 + y**2) + assert refine(re((w + I*x) * (y + I*z)), Q.real(w) & Q.real(x) & Q.real(y) + & Q.real(z)) == w*y - x*z + assert refine(im((w + I*x) * (y + I*z)), Q.real(w) & Q.real(x) & Q.real(y) + & Q.real(z)) == w*z + x*y + + +def test_sign(): + x = Symbol('x', real = True) + assert refine(sign(x), Q.positive(x)) == 1 + assert refine(sign(x), Q.negative(x)) == -1 + assert refine(sign(x), Q.zero(x)) == 0 + assert refine(sign(x), True) == sign(x) + assert refine(sign(Abs(x)), Q.nonzero(x)) == 1 + + x = Symbol('x', imaginary=True) + assert refine(sign(x), Q.positive(im(x))) == S.ImaginaryUnit + assert refine(sign(x), Q.negative(im(x))) == -S.ImaginaryUnit + assert refine(sign(x), True) == sign(x) + + x = Symbol('x', complex=True) + assert refine(sign(x), Q.zero(x)) == 0 + +def test_arg(): + x = Symbol('x', complex = True) + assert refine(arg(x), Q.positive(x)) == 0 + assert refine(arg(x), Q.negative(x)) == pi + +def test_func_args(): + class MyClass(Expr): + # A class with nontrivial .func + + def __init__(self, *args): + self.my_member = "" + + @property + def func(self): + def my_func(*args): + obj = MyClass(*args) + obj.my_member = self.my_member + return obj + return my_func + + x = MyClass() + x.my_member = "A very important value" + assert x.my_member == refine(x).my_member + +def test_issue_refine_9384(): + assert refine(Piecewise((1, x < 0), (0, True)), Q.positive(x)) == 0 + assert refine(Piecewise((1, x < 0), (0, True)), Q.negative(x)) == 1 + assert refine(Piecewise((1, x > 0), (0, True)), Q.positive(x)) == 1 + assert refine(Piecewise((1, x > 0), (0, True)), Q.negative(x)) == 0 + + +def test_eval_refine(): + class MockExpr(Expr): + def _eval_refine(self, assumptions): + return True + + mock_obj = MockExpr() + assert refine(mock_obj) + +def test_refine_issue_12724(): + expr1 = refine(Abs(x * y), Q.positive(x)) + expr2 = refine(Abs(x * y * z), Q.positive(x)) + assert expr1 == x * Abs(y) + assert expr2 == x * Abs(y * z) + y1 = Symbol('y1', real = True) + expr3 = refine(Abs(x * y1**2 * z), Q.positive(x)) + assert expr3 == x * y1**2 * Abs(z) + + +def test_matrixelement(): + x = MatrixSymbol('x', 3, 3) + i = Symbol('i', positive = True) + j = Symbol('j', positive = True) + assert refine(x[0, 1], Q.symmetric(x)) == x[0, 1] + assert refine(x[1, 0], Q.symmetric(x)) == x[0, 1] + assert refine(x[i, j], Q.symmetric(x)) == x[j, i] + assert refine(x[j, i], Q.symmetric(x)) == x[j, i] diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/tests/test_rel_queries.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/tests/test_rel_queries.py new file mode 100644 index 0000000000000000000000000000000000000000..46fe3a35dc1adb23668e88d5794fe1c0ab22f33a --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/tests/test_rel_queries.py @@ -0,0 +1,172 @@ +from sympy.assumptions.lra_satask import lra_satask +from sympy.logic.algorithms.lra_theory import UnhandledInput +from sympy.assumptions.ask import Q, ask + +from sympy.core import symbols, Symbol +from sympy.matrices.expressions.matexpr import MatrixSymbol +from sympy.core.numbers import I + +from sympy.testing.pytest import raises, XFAIL +x, y, z = symbols("x y z", real=True) + +def test_lra_satask(): + im = Symbol('im', imaginary=True) + + # test preprocessing of unequalities is working correctly + assert lra_satask(Q.eq(x, 1), ~Q.ne(x, 0)) is False + assert lra_satask(Q.eq(x, 0), ~Q.ne(x, 0)) is True + assert lra_satask(~Q.ne(x, 0), Q.eq(x, 0)) is True + assert lra_satask(~Q.eq(x, 0), Q.eq(x, 0)) is False + assert lra_satask(Q.ne(x, 0), Q.eq(x, 0)) is False + + # basic tests + assert lra_satask(Q.ne(x, x)) is False + assert lra_satask(Q.eq(x, x)) is True + assert lra_satask(Q.gt(x, 0), Q.gt(x, 1)) is True + + # check that True/False are handled + assert lra_satask(Q.gt(x, 0), True) is None + assert raises(ValueError, lambda: lra_satask(Q.gt(x, 0), False)) + + # check imaginary numbers are correctly handled + # (im * I).is_real returns True so this is an edge case + raises(UnhandledInput, lambda: lra_satask(Q.gt(im * I, 0), Q.gt(im * I, 0))) + + # check matrix inputs + X = MatrixSymbol("X", 2, 2) + raises(UnhandledInput, lambda: lra_satask(Q.lt(X, 2) & Q.gt(X, 3))) + + +def test_old_assumptions(): + # test unhandled old assumptions + w = symbols("w") + raises(UnhandledInput, lambda: lra_satask(Q.lt(w, 2) & Q.gt(w, 3))) + w = symbols("w", rational=False, real=True) + raises(UnhandledInput, lambda: lra_satask(Q.lt(w, 2) & Q.gt(w, 3))) + w = symbols("w", odd=True, real=True) + raises(UnhandledInput, lambda: lra_satask(Q.lt(w, 2) & Q.gt(w, 3))) + w = symbols("w", even=True, real=True) + raises(UnhandledInput, lambda: lra_satask(Q.lt(w, 2) & Q.gt(w, 3))) + w = symbols("w", prime=True, real=True) + raises(UnhandledInput, lambda: lra_satask(Q.lt(w, 2) & Q.gt(w, 3))) + w = symbols("w", composite=True, real=True) + raises(UnhandledInput, lambda: lra_satask(Q.lt(w, 2) & Q.gt(w, 3))) + w = symbols("w", integer=True, real=True) + raises(UnhandledInput, lambda: lra_satask(Q.lt(w, 2) & Q.gt(w, 3))) + w = symbols("w", integer=False, real=True) + raises(UnhandledInput, lambda: lra_satask(Q.lt(w, 2) & Q.gt(w, 3))) + + # test handled + w = symbols("w", positive=True, real=True) + assert lra_satask(Q.le(w, 0)) is False + assert lra_satask(Q.gt(w, 0)) is True + w = symbols("w", negative=True, real=True) + assert lra_satask(Q.lt(w, 0)) is True + assert lra_satask(Q.ge(w, 0)) is False + w = symbols("w", zero=True, real=True) + assert lra_satask(Q.eq(w, 0)) is True + assert lra_satask(Q.ne(w, 0)) is False + w = symbols("w", nonzero=True, real=True) + assert lra_satask(Q.ne(w, 0)) is True + assert lra_satask(Q.eq(w, 1)) is None + w = symbols("w", nonpositive=True, real=True) + assert lra_satask(Q.le(w, 0)) is True + assert lra_satask(Q.gt(w, 0)) is False + w = symbols("w", nonnegative=True, real=True) + assert lra_satask(Q.ge(w, 0)) is True + assert lra_satask(Q.lt(w, 0)) is False + + +def test_rel_queries(): + assert ask(Q.lt(x, 2) & Q.gt(x, 3)) is False + assert ask(Q.positive(x - z), (x > y) & (y > z)) is True + assert ask(x + y > 2, (x < 0) & (y <0)) is False + assert ask(x > z, (x > y) & (y > z)) is True + + +def test_unhandled_queries(): + X = MatrixSymbol("X", 2, 2) + assert ask(Q.lt(X, 2) & Q.gt(X, 3)) is None + + +def test_all_pred(): + # test usable pred + assert lra_satask(Q.extended_positive(x), (x > 2)) is True + assert lra_satask(Q.positive_infinite(x)) is False + assert lra_satask(Q.negative_infinite(x)) is False + + # test disallowed pred + raises(UnhandledInput, lambda: lra_satask((x > 0), (x > 2) & Q.prime(x))) + raises(UnhandledInput, lambda: lra_satask((x > 0), (x > 2) & Q.composite(x))) + raises(UnhandledInput, lambda: lra_satask((x > 0), (x > 2) & Q.odd(x))) + raises(UnhandledInput, lambda: lra_satask((x > 0), (x > 2) & Q.even(x))) + raises(UnhandledInput, lambda: lra_satask((x > 0), (x > 2) & Q.integer(x))) + + +def test_number_line_properties(): + # From: + # https://en.wikipedia.org/wiki/Inequality_(mathematics)#Properties_on_the_number_line + + a, b, c = symbols("a b c", real=True) + + # Transitivity + # If a <= b and b <= c, then a <= c. + assert ask(a <= c, (a <= b) & (b <= c)) is True + # If a <= b and b < c, then a < c. + assert ask(a < c, (a <= b) & (b < c)) is True + # If a < b and b <= c, then a < c. + assert ask(a < c, (a < b) & (b <= c)) is True + + # Addition and subtraction + # If a <= b, then a + c <= b + c and a - c <= b - c. + assert ask(a + c <= b + c, a <= b) is True + assert ask(a - c <= b - c, a <= b) is True + + +@XFAIL +def test_failing_number_line_properties(): + # From: + # https://en.wikipedia.org/wiki/Inequality_(mathematics)#Properties_on_the_number_line + + a, b, c = symbols("a b c", real=True) + + # Multiplication and division + # If a <= b and c > 0, then ac <= bc and a/c <= b/c. (True for non-zero c) + assert ask(a*c <= b*c, (a <= b) & (c > 0) & ~ Q.zero(c)) is True + assert ask(a/c <= b/c, (a <= b) & (c > 0) & ~ Q.zero(c)) is True + # If a <= b and c < 0, then ac >= bc and a/c >= b/c. (True for non-zero c) + assert ask(a*c >= b*c, (a <= b) & (c < 0) & ~ Q.zero(c)) is True + assert ask(a/c >= b/c, (a <= b) & (c < 0) & ~ Q.zero(c)) is True + + # Additive inverse + # If a <= b, then -a >= -b. + assert ask(-a >= -b, a <= b) is True + + # Multiplicative inverse + # For a, b that are both negative or both positive: + # If a <= b, then 1/a >= 1/b . + assert ask(1/a >= 1/b, (a <= b) & Q.positive(x) & Q.positive(b)) is True + assert ask(1/a >= 1/b, (a <= b) & Q.negative(x) & Q.negative(b)) is True + + +def test_equality(): + # test symmetry and reflexivity + assert ask(Q.eq(x, x)) is True + assert ask(Q.eq(y, x), Q.eq(x, y)) is True + assert ask(Q.eq(y, x), ~Q.eq(z, z) | Q.eq(x, y)) is True + + # test transitivity + assert ask(Q.eq(x,z), Q.eq(x,y) & Q.eq(y,z)) is True + + +@XFAIL +def test_equality_failing(): + # Note that implementing the substitution property of equality + # most likely requires a redesign of the new assumptions. + # See issue #25485 for why this is the case and general ideas + # about how things could be redesigned. + + # test substitution property + assert ask(Q.prime(x), Q.eq(x, y) & Q.prime(y)) is True + assert ask(Q.real(x), Q.eq(x, y) & Q.real(y)) is True + assert ask(Q.imaginary(x), Q.eq(x, y) & Q.imaginary(y)) is True diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/tests/test_satask.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/tests/test_satask.py new file mode 100644 index 0000000000000000000000000000000000000000..5831b69e3e6bf2b1a906d1140967510c2ea8b630 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/tests/test_satask.py @@ -0,0 +1,378 @@ +from sympy.assumptions.ask import Q +from sympy.assumptions.assume import assuming +from sympy.core.numbers import (I, pi) +from sympy.core.relational import (Eq, Gt) +from sympy.core.singleton import S +from sympy.core.symbol import symbols +from sympy.functions.elementary.complexes import Abs +from sympy.logic.boolalg import Implies +from sympy.matrices.expressions.matexpr import MatrixSymbol +from sympy.assumptions.cnf import CNF, Literal +from sympy.assumptions.satask import (satask, extract_predargs, + get_relevant_clsfacts) + +from sympy.testing.pytest import raises, XFAIL + + +x, y, z = symbols('x y z') + + +def test_satask(): + # No relevant facts + assert satask(Q.real(x), Q.real(x)) is True + assert satask(Q.real(x), ~Q.real(x)) is False + assert satask(Q.real(x)) is None + + assert satask(Q.real(x), Q.positive(x)) is True + assert satask(Q.positive(x), Q.real(x)) is None + assert satask(Q.real(x), ~Q.positive(x)) is None + assert satask(Q.positive(x), ~Q.real(x)) is False + + raises(ValueError, lambda: satask(Q.real(x), Q.real(x) & ~Q.real(x))) + + with assuming(Q.positive(x)): + assert satask(Q.real(x)) is True + assert satask(~Q.positive(x)) is False + raises(ValueError, lambda: satask(Q.real(x), ~Q.positive(x))) + + assert satask(Q.zero(x), Q.nonzero(x)) is False + assert satask(Q.positive(x), Q.zero(x)) is False + assert satask(Q.real(x), Q.zero(x)) is True + assert satask(Q.zero(x), Q.zero(x*y)) is None + assert satask(Q.zero(x*y), Q.zero(x)) + + +def test_zero(): + """ + Everything in this test doesn't work with the ask handlers, and most + things would be very difficult or impossible to make work under that + model. + + """ + assert satask(Q.zero(x) | Q.zero(y), Q.zero(x*y)) is True + assert satask(Q.zero(x*y), Q.zero(x) | Q.zero(y)) is True + + assert satask(Implies(Q.zero(x), Q.zero(x*y))) is True + + # This one in particular requires computing the fixed-point of the + # relevant facts, because going from Q.nonzero(x*y) -> ~Q.zero(x*y) and + # Q.zero(x*y) -> Equivalent(Q.zero(x*y), Q.zero(x) | Q.zero(y)) takes two + # steps. + assert satask(Q.zero(x) | Q.zero(y), Q.nonzero(x*y)) is False + + assert satask(Q.zero(x), Q.zero(x**2)) is True + + +def test_zero_positive(): + assert satask(Q.zero(x + y), Q.positive(x) & Q.positive(y)) is False + assert satask(Q.positive(x) & Q.positive(y), Q.zero(x + y)) is False + assert satask(Q.nonzero(x + y), Q.positive(x) & Q.positive(y)) is True + assert satask(Q.positive(x) & Q.positive(y), Q.nonzero(x + y)) is None + + # This one requires several levels of forward chaining + assert satask(Q.zero(x*(x + y)), Q.positive(x) & Q.positive(y)) is False + + assert satask(Q.positive(pi*x*y + 1), Q.positive(x) & Q.positive(y)) is True + assert satask(Q.positive(pi*x*y - 5), Q.positive(x) & Q.positive(y)) is None + + +def test_zero_pow(): + assert satask(Q.zero(x**y), Q.zero(x) & Q.positive(y)) is True + assert satask(Q.zero(x**y), Q.nonzero(x) & Q.zero(y)) is False + + assert satask(Q.zero(x), Q.zero(x**y)) is True + + assert satask(Q.zero(x**y), Q.zero(x)) is None + + +@XFAIL +# Requires correct Q.square calculation first +def test_invertible(): + A = MatrixSymbol('A', 5, 5) + B = MatrixSymbol('B', 5, 5) + assert satask(Q.invertible(A*B), Q.invertible(A) & Q.invertible(B)) is True + assert satask(Q.invertible(A), Q.invertible(A*B)) is True + assert satask(Q.invertible(A) & Q.invertible(B), Q.invertible(A*B)) is True + + +def test_prime(): + assert satask(Q.prime(5)) is True + assert satask(Q.prime(6)) is False + assert satask(Q.prime(-5)) is False + + assert satask(Q.prime(x*y), Q.integer(x) & Q.integer(y)) is None + assert satask(Q.prime(x*y), Q.prime(x) & Q.prime(y)) is False + + +def test_old_assump(): + assert satask(Q.positive(1)) is True + assert satask(Q.positive(-1)) is False + assert satask(Q.positive(0)) is False + assert satask(Q.positive(I)) is False + assert satask(Q.positive(pi)) is True + + assert satask(Q.negative(1)) is False + assert satask(Q.negative(-1)) is True + assert satask(Q.negative(0)) is False + assert satask(Q.negative(I)) is False + assert satask(Q.negative(pi)) is False + + assert satask(Q.zero(1)) is False + assert satask(Q.zero(-1)) is False + assert satask(Q.zero(0)) is True + assert satask(Q.zero(I)) is False + assert satask(Q.zero(pi)) is False + + assert satask(Q.nonzero(1)) is True + assert satask(Q.nonzero(-1)) is True + assert satask(Q.nonzero(0)) is False + assert satask(Q.nonzero(I)) is False + assert satask(Q.nonzero(pi)) is True + + assert satask(Q.nonpositive(1)) is False + assert satask(Q.nonpositive(-1)) is True + assert satask(Q.nonpositive(0)) is True + assert satask(Q.nonpositive(I)) is False + assert satask(Q.nonpositive(pi)) is False + + assert satask(Q.nonnegative(1)) is True + assert satask(Q.nonnegative(-1)) is False + assert satask(Q.nonnegative(0)) is True + assert satask(Q.nonnegative(I)) is False + assert satask(Q.nonnegative(pi)) is True + + +def test_rational_irrational(): + assert satask(Q.irrational(2)) is False + assert satask(Q.rational(2)) is True + assert satask(Q.irrational(pi)) is True + assert satask(Q.rational(pi)) is False + assert satask(Q.irrational(I)) is False + assert satask(Q.rational(I)) is False + + assert satask(Q.irrational(x*y*z), Q.irrational(x) & Q.irrational(y) & + Q.rational(z)) is None + assert satask(Q.irrational(x*y*z), Q.irrational(x) & Q.rational(y) & + Q.rational(z)) is True + assert satask(Q.irrational(pi*x*y), Q.rational(x) & Q.rational(y)) is True + + assert satask(Q.irrational(x + y + z), Q.irrational(x) & Q.irrational(y) & + Q.rational(z)) is None + assert satask(Q.irrational(x + y + z), Q.irrational(x) & Q.rational(y) & + Q.rational(z)) is True + assert satask(Q.irrational(pi + x + y), Q.rational(x) & Q.rational(y)) is True + + assert satask(Q.irrational(x*y*z), Q.rational(x) & Q.rational(y) & + Q.rational(z)) is False + assert satask(Q.rational(x*y*z), Q.rational(x) & Q.rational(y) & + Q.rational(z)) is True + + assert satask(Q.irrational(x + y + z), Q.rational(x) & Q.rational(y) & + Q.rational(z)) is False + assert satask(Q.rational(x + y + z), Q.rational(x) & Q.rational(y) & + Q.rational(z)) is True + + +def test_even_satask(): + assert satask(Q.even(2)) is True + assert satask(Q.even(3)) is False + + assert satask(Q.even(x*y), Q.even(x) & Q.odd(y)) is True + assert satask(Q.even(x*y), Q.even(x) & Q.integer(y)) is True + assert satask(Q.even(x*y), Q.even(x) & Q.even(y)) is True + assert satask(Q.even(x*y), Q.odd(x) & Q.odd(y)) is False + assert satask(Q.even(x*y), Q.even(x)) is None + assert satask(Q.even(x*y), Q.odd(x) & Q.integer(y)) is None + assert satask(Q.even(x*y), Q.odd(x) & Q.odd(y)) is False + + assert satask(Q.even(abs(x)), Q.even(x)) is True + assert satask(Q.even(abs(x)), Q.odd(x)) is False + assert satask(Q.even(x), Q.even(abs(x))) is None # x could be complex + + +def test_odd_satask(): + assert satask(Q.odd(2)) is False + assert satask(Q.odd(3)) is True + + assert satask(Q.odd(x*y), Q.even(x) & Q.odd(y)) is False + assert satask(Q.odd(x*y), Q.even(x) & Q.integer(y)) is False + assert satask(Q.odd(x*y), Q.even(x) & Q.even(y)) is False + assert satask(Q.odd(x*y), Q.odd(x) & Q.odd(y)) is True + assert satask(Q.odd(x*y), Q.even(x)) is None + assert satask(Q.odd(x*y), Q.odd(x) & Q.integer(y)) is None + assert satask(Q.odd(x*y), Q.odd(x) & Q.odd(y)) is True + + assert satask(Q.odd(abs(x)), Q.even(x)) is False + assert satask(Q.odd(abs(x)), Q.odd(x)) is True + assert satask(Q.odd(x), Q.odd(abs(x))) is None # x could be complex + + +def test_integer(): + assert satask(Q.integer(1)) is True + assert satask(Q.integer(S.Half)) is False + + assert satask(Q.integer(x + y), Q.integer(x) & Q.integer(y)) is True + assert satask(Q.integer(x + y), Q.integer(x)) is None + + assert satask(Q.integer(x + y), Q.integer(x) & ~Q.integer(y)) is False + assert satask(Q.integer(x + y + z), Q.integer(x) & Q.integer(y) & + ~Q.integer(z)) is False + assert satask(Q.integer(x + y + z), Q.integer(x) & ~Q.integer(y) & + ~Q.integer(z)) is None + assert satask(Q.integer(x + y + z), Q.integer(x) & ~Q.integer(y)) is None + assert satask(Q.integer(x + y), Q.integer(x) & Q.irrational(y)) is False + + assert satask(Q.integer(x*y), Q.integer(x) & Q.integer(y)) is True + assert satask(Q.integer(x*y), Q.integer(x)) is None + + assert satask(Q.integer(x*y), Q.integer(x) & ~Q.integer(y)) is None + assert satask(Q.integer(x*y), Q.integer(x) & ~Q.rational(y)) is False + assert satask(Q.integer(x*y*z), Q.integer(x) & Q.integer(y) & + ~Q.rational(z)) is False + assert satask(Q.integer(x*y*z), Q.integer(x) & ~Q.rational(y) & + ~Q.rational(z)) is None + assert satask(Q.integer(x*y*z), Q.integer(x) & ~Q.rational(y)) is None + assert satask(Q.integer(x*y), Q.integer(x) & Q.irrational(y)) is False + + +def test_abs(): + assert satask(Q.nonnegative(abs(x))) is True + assert satask(Q.positive(abs(x)), ~Q.zero(x)) is True + assert satask(Q.zero(x), ~Q.zero(abs(x))) is False + assert satask(Q.zero(x), Q.zero(abs(x))) is True + assert satask(Q.nonzero(x), ~Q.zero(abs(x))) is None # x could be complex + assert satask(Q.zero(abs(x)), Q.zero(x)) is True + + +def test_imaginary(): + assert satask(Q.imaginary(2*I)) is True + assert satask(Q.imaginary(x*y), Q.imaginary(x)) is None + assert satask(Q.imaginary(x*y), Q.imaginary(x) & Q.real(y)) is True + assert satask(Q.imaginary(x), Q.real(x)) is False + assert satask(Q.imaginary(1)) is False + assert satask(Q.imaginary(x*y), Q.real(x) & Q.real(y)) is False + assert satask(Q.imaginary(x + y), Q.real(x) & Q.real(y)) is False + + +def test_real(): + assert satask(Q.real(x*y), Q.real(x) & Q.real(y)) is True + assert satask(Q.real(x + y), Q.real(x) & Q.real(y)) is True + assert satask(Q.real(x*y*z), Q.real(x) & Q.real(y) & Q.real(z)) is True + assert satask(Q.real(x*y*z), Q.real(x) & Q.real(y)) is None + assert satask(Q.real(x*y*z), Q.real(x) & Q.real(y) & Q.imaginary(z)) is False + assert satask(Q.real(x + y + z), Q.real(x) & Q.real(y) & Q.real(z)) is True + assert satask(Q.real(x + y + z), Q.real(x) & Q.real(y)) is None + + +def test_pos_neg(): + assert satask(~Q.positive(x), Q.negative(x)) is True + assert satask(~Q.negative(x), Q.positive(x)) is True + assert satask(Q.positive(x + y), Q.positive(x) & Q.positive(y)) is True + assert satask(Q.negative(x + y), Q.negative(x) & Q.negative(y)) is True + assert satask(Q.positive(x + y), Q.negative(x) & Q.negative(y)) is False + assert satask(Q.negative(x + y), Q.positive(x) & Q.positive(y)) is False + + +def test_pow_pos_neg(): + assert satask(Q.nonnegative(x**2), Q.positive(x)) is True + assert satask(Q.nonpositive(x**2), Q.positive(x)) is False + assert satask(Q.positive(x**2), Q.positive(x)) is True + assert satask(Q.negative(x**2), Q.positive(x)) is False + assert satask(Q.real(x**2), Q.positive(x)) is True + + assert satask(Q.nonnegative(x**2), Q.negative(x)) is True + assert satask(Q.nonpositive(x**2), Q.negative(x)) is False + assert satask(Q.positive(x**2), Q.negative(x)) is True + assert satask(Q.negative(x**2), Q.negative(x)) is False + assert satask(Q.real(x**2), Q.negative(x)) is True + + assert satask(Q.nonnegative(x**2), Q.nonnegative(x)) is True + assert satask(Q.nonpositive(x**2), Q.nonnegative(x)) is None + assert satask(Q.positive(x**2), Q.nonnegative(x)) is None + assert satask(Q.negative(x**2), Q.nonnegative(x)) is False + assert satask(Q.real(x**2), Q.nonnegative(x)) is True + + assert satask(Q.nonnegative(x**2), Q.nonpositive(x)) is True + assert satask(Q.nonpositive(x**2), Q.nonpositive(x)) is None + assert satask(Q.positive(x**2), Q.nonpositive(x)) is None + assert satask(Q.negative(x**2), Q.nonpositive(x)) is False + assert satask(Q.real(x**2), Q.nonpositive(x)) is True + + assert satask(Q.nonnegative(x**3), Q.positive(x)) is True + assert satask(Q.nonpositive(x**3), Q.positive(x)) is False + assert satask(Q.positive(x**3), Q.positive(x)) is True + assert satask(Q.negative(x**3), Q.positive(x)) is False + assert satask(Q.real(x**3), Q.positive(x)) is True + + assert satask(Q.nonnegative(x**3), Q.negative(x)) is False + assert satask(Q.nonpositive(x**3), Q.negative(x)) is True + assert satask(Q.positive(x**3), Q.negative(x)) is False + assert satask(Q.negative(x**3), Q.negative(x)) is True + assert satask(Q.real(x**3), Q.negative(x)) is True + + assert satask(Q.nonnegative(x**3), Q.nonnegative(x)) is True + assert satask(Q.nonpositive(x**3), Q.nonnegative(x)) is None + assert satask(Q.positive(x**3), Q.nonnegative(x)) is None + assert satask(Q.negative(x**3), Q.nonnegative(x)) is False + assert satask(Q.real(x**3), Q.nonnegative(x)) is True + + assert satask(Q.nonnegative(x**3), Q.nonpositive(x)) is None + assert satask(Q.nonpositive(x**3), Q.nonpositive(x)) is True + assert satask(Q.positive(x**3), Q.nonpositive(x)) is False + assert satask(Q.negative(x**3), Q.nonpositive(x)) is None + assert satask(Q.real(x**3), Q.nonpositive(x)) is True + + # If x is zero, x**negative is not real. + assert satask(Q.nonnegative(x**-2), Q.nonpositive(x)) is None + assert satask(Q.nonpositive(x**-2), Q.nonpositive(x)) is None + assert satask(Q.positive(x**-2), Q.nonpositive(x)) is None + assert satask(Q.negative(x**-2), Q.nonpositive(x)) is None + assert satask(Q.real(x**-2), Q.nonpositive(x)) is None + + # We could deduce things for negative powers if x is nonzero, but it + # isn't implemented yet. + + +def test_prime_composite(): + assert satask(Q.prime(x), Q.composite(x)) is False + assert satask(Q.composite(x), Q.prime(x)) is False + assert satask(Q.composite(x), ~Q.prime(x)) is None + assert satask(Q.prime(x), ~Q.composite(x)) is None + # since 1 is neither prime nor composite the following should hold + assert satask(Q.prime(x), Q.integer(x) & Q.positive(x) & ~Q.composite(x)) is None + assert satask(Q.prime(2)) is True + assert satask(Q.prime(4)) is False + assert satask(Q.prime(1)) is False + assert satask(Q.composite(1)) is False + + +def test_extract_predargs(): + props = CNF.from_prop(Q.zero(Abs(x*y)) & Q.zero(x*y)) + assump = CNF.from_prop(Q.zero(x)) + context = CNF.from_prop(Q.zero(y)) + assert extract_predargs(props) == {Abs(x*y), x*y} + assert extract_predargs(props, assump) == {Abs(x*y), x*y, x} + assert extract_predargs(props, assump, context) == {Abs(x*y), x*y, x, y} + + props = CNF.from_prop(Eq(x, y)) + assump = CNF.from_prop(Gt(y, z)) + assert extract_predargs(props, assump) == {x, y, z} + + +def test_get_relevant_clsfacts(): + exprs = {Abs(x*y)} + exprs, facts = get_relevant_clsfacts(exprs) + assert exprs == {x*y} + assert facts.clauses == \ + {frozenset({Literal(Q.odd(Abs(x*y)), False), Literal(Q.odd(x*y), True)}), + frozenset({Literal(Q.zero(Abs(x*y)), False), Literal(Q.zero(x*y), True)}), + frozenset({Literal(Q.even(Abs(x*y)), False), Literal(Q.even(x*y), True)}), + frozenset({Literal(Q.zero(Abs(x*y)), True), Literal(Q.zero(x*y), False)}), + frozenset({Literal(Q.even(Abs(x*y)), False), + Literal(Q.odd(Abs(x*y)), False), + Literal(Q.odd(x*y), True)}), + frozenset({Literal(Q.even(Abs(x*y)), False), + Literal(Q.even(x*y), True), + Literal(Q.odd(Abs(x*y)), False)}), + frozenset({Literal(Q.positive(Abs(x*y)), False), + Literal(Q.zero(Abs(x*y)), False)})} diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/tests/test_sathandlers.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/tests/test_sathandlers.py new file mode 100644 index 0000000000000000000000000000000000000000..9d568ad8efe6ba7cf7f5eb03879ad6764c16e729 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/tests/test_sathandlers.py @@ -0,0 +1,50 @@ +from sympy.assumptions.ask import Q +from sympy.core.basic import Basic +from sympy.core.expr import Expr +from sympy.core.mul import Mul +from sympy.core.symbol import symbols +from sympy.logic.boolalg import (And, Or) + +from sympy.assumptions.sathandlers import (ClassFactRegistry, allargs, + anyarg, exactlyonearg,) + +x, y, z = symbols('x y z') + + +def test_class_handler_registry(): + my_handler_registry = ClassFactRegistry() + + # The predicate doesn't matter here, so just pass + @my_handler_registry.register(Mul) + def fact1(expr): + pass + @my_handler_registry.multiregister(Expr) + def fact2(expr): + pass + + assert my_handler_registry[Basic] == (frozenset(), frozenset()) + assert my_handler_registry[Expr] == (frozenset(), frozenset({fact2})) + assert my_handler_registry[Mul] == (frozenset({fact1}), frozenset({fact2})) + + +def test_allargs(): + assert allargs(x, Q.zero(x), x*y) == And(Q.zero(x), Q.zero(y)) + assert allargs(x, Q.positive(x) | Q.negative(x), x*y) == And(Q.positive(x) | Q.negative(x), Q.positive(y) | Q.negative(y)) + + +def test_anyarg(): + assert anyarg(x, Q.zero(x), x*y) == Or(Q.zero(x), Q.zero(y)) + assert anyarg(x, Q.positive(x) & Q.negative(x), x*y) == \ + Or(Q.positive(x) & Q.negative(x), Q.positive(y) & Q.negative(y)) + + +def test_exactlyonearg(): + assert exactlyonearg(x, Q.zero(x), x*y) == \ + Or(Q.zero(x) & ~Q.zero(y), Q.zero(y) & ~Q.zero(x)) + assert exactlyonearg(x, Q.zero(x), x*y*z) == \ + Or(Q.zero(x) & ~Q.zero(y) & ~Q.zero(z), Q.zero(y) + & ~Q.zero(x) & ~Q.zero(z), Q.zero(z) & ~Q.zero(x) & ~Q.zero(y)) + assert exactlyonearg(x, Q.positive(x) | Q.negative(x), x*y) == \ + Or((Q.positive(x) | Q.negative(x)) & + ~(Q.positive(y) | Q.negative(y)), (Q.positive(y) | Q.negative(y)) & + ~(Q.positive(x) | Q.negative(x))) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/tests/test_wrapper.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/tests/test_wrapper.py new file mode 100644 index 0000000000000000000000000000000000000000..af9afd5d51fb1341e0b08149dc842b78a39c329b --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/assumptions/tests/test_wrapper.py @@ -0,0 +1,39 @@ +from sympy.assumptions.ask import Q +from sympy.assumptions.wrapper import (AssumptionsWrapper, is_infinite, + is_extended_real) +from sympy.core.symbol import Symbol +from sympy.core.assumptions import _assume_defined + + +def test_all_predicates(): + for fact in _assume_defined: + method_name = f'_eval_is_{fact}' + assert hasattr(AssumptionsWrapper, method_name) + + +def test_AssumptionsWrapper(): + x = Symbol('x', positive=True) + y = Symbol('y') + assert AssumptionsWrapper(x).is_positive + assert AssumptionsWrapper(y).is_positive is None + assert AssumptionsWrapper(y, Q.positive(y)).is_positive + + +def test_is_infinite(): + x = Symbol('x', infinite=True) + y = Symbol('y', infinite=False) + z = Symbol('z') + assert is_infinite(x) + assert not is_infinite(y) + assert is_infinite(z) is None + assert is_infinite(z, Q.infinite(z)) + + +def test_is_extended_real(): + x = Symbol('x', extended_real=True) + y = Symbol('y', extended_real=False) + z = Symbol('z') + assert is_extended_real(x) + assert not is_extended_real(y) + assert is_extended_real(z) is None + assert is_extended_real(z, Q.extended_real(z)) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/benchmarks/__pycache__/__init__.cpython-312.pyc 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+from sympy.core.expr import unchanged +from sympy.testing.pytest import raises, XFAIL +from sympy.abc import x + +a = Symbol('a', real=True) +B = AccumBounds + + +def test_AccumBounds(): + assert B(1, 2).args == (1, 2) + assert B(1, 2).delta is S.One + assert B(1, 2).mid == Rational(3, 2) + assert B(1, 3).is_real == True + + assert B(1, 1) is S.One + + assert B(1, 2) + 1 == B(2, 3) + assert 1 + B(1, 2) == B(2, 3) + assert B(1, 2) + B(2, 3) == B(3, 5) + + assert -B(1, 2) == B(-2, -1) + + assert B(1, 2) - 1 == B(0, 1) + assert 1 - B(1, 2) == B(-1, 0) + assert B(2, 3) - B(1, 2) == B(0, 2) + + assert x + B(1, 2) == Add(B(1, 2), x) + assert a + B(1, 2) == B(1 + a, 2 + a) + assert B(1, 2) - x == Add(B(1, 2), -x) + + assert B(-oo, 1) + oo == B(-oo, oo) + assert B(1, oo) + oo is oo + assert B(1, oo) - oo == B(-oo, oo) + assert (-oo - B(-1, oo)) is -oo + assert B(-oo, 1) - oo is -oo + + assert B(1, oo) - oo == B(-oo, oo) + assert B(-oo, 1) - (-oo) == B(-oo, oo) + assert (oo - B(1, oo)) == B(-oo, oo) + assert (-oo - B(1, oo)) is -oo + + assert B(1, 2)/2 == B(S.Half, 1) + assert 2/B(2, 3) == B(Rational(2, 3), 1) + assert 1/B(-1, 1) == B(-oo, oo) + + assert abs(B(1, 2)) == B(1, 2) + assert abs(B(-2, -1)) == B(1, 2) + assert abs(B(-2, 1)) == B(0, 2) + assert abs(B(-1, 2)) == B(0, 2) + c = Symbol('c') + raises(ValueError, lambda: B(0, c)) + raises(ValueError, lambda: B(1, -1)) + r = Symbol('r', real=True) + raises(ValueError, lambda: B(r, r - 1)) + + +def test_AccumBounds_mul(): + assert B(1, 2)*2 == B(2, 4) + assert 2*B(1, 2) == B(2, 4) + assert B(1, 2)*B(2, 3) == B(2, 6) + assert B(0, 2)*B(2, oo) == B(0, oo) + l, r = B(-oo, oo), B(-a, a) + assert l*r == B(-oo, oo) + assert r*l == B(-oo, oo) + l, r = B(1, oo), B(-3, -2) + assert l*r == B(-oo, -2) + assert r*l == B(-oo, -2) + assert B(1, 2)*0 == 0 + assert B(1, oo)*0 == B(0, oo) + assert B(-oo, 1)*0 == B(-oo, 0) + assert B(-oo, oo)*0 == B(-oo, oo) + + assert B(1, 2)*x == Mul(B(1, 2), x, evaluate=False) + + assert B(0, 2)*oo == B(0, oo) + assert B(-2, 0)*oo == B(-oo, 0) + assert B(0, 2)*(-oo) == B(-oo, 0) + assert B(-2, 0)*(-oo) == B(0, oo) + assert B(-1, 1)*oo == B(-oo, oo) + assert B(-1, 1)*(-oo) == B(-oo, oo) + assert B(-oo, oo)*oo == B(-oo, oo) + + +def test_AccumBounds_div(): + assert B(-1, 3)/B(3, 4) == B(Rational(-1, 3), 1) + assert B(-2, 4)/B(-3, 4) == B(-oo, oo) + assert B(-3, -2)/B(-4, 0) == B(S.Half, oo) + + # these two tests can have a better answer + # after Union of B is improved + assert B(-3, -2)/B(-2, 1) == B(-oo, oo) + assert B(2, 3)/B(-2, 2) == B(-oo, oo) + + assert B(-3, -2)/B(0, 4) == B(-oo, Rational(-1, 2)) + assert B(2, 4)/B(-3, 0) == B(-oo, Rational(-2, 3)) + assert B(2, 4)/B(0, 3) == B(Rational(2, 3), oo) + + assert B(0, 1)/B(0, 1) == B(0, oo) + assert B(-1, 0)/B(0, 1) == B(-oo, 0) + assert B(-1, 2)/B(-2, 2) == B(-oo, oo) + + assert 1/B(-1, 2) == B(-oo, oo) + assert 1/B(0, 2) == B(S.Half, oo) + assert (-1)/B(0, 2) == B(-oo, Rational(-1, 2)) + assert 1/B(-oo, 0) == B(-oo, 0) + assert 1/B(-1, 0) == B(-oo, -1) + assert (-2)/B(-oo, 0) == B(0, oo) + assert 1/B(-oo, -1) == B(-1, 0) + + assert B(1, 2)/a == Mul(B(1, 2), 1/a, evaluate=False) + + assert B(1, 2)/0 == B(1, 2)*zoo + assert B(1, oo)/oo == B(0, oo) + assert B(1, oo)/(-oo) == B(-oo, 0) + assert B(-oo, -1)/oo == B(-oo, 0) + assert B(-oo, -1)/(-oo) == B(0, oo) + assert B(-oo, oo)/oo == B(-oo, oo) + assert B(-oo, oo)/(-oo) == B(-oo, oo) + assert B(-1, oo)/oo == B(0, oo) + assert B(-1, oo)/(-oo) == B(-oo, 0) + assert B(-oo, 1)/oo == B(-oo, 0) + assert B(-oo, 1)/(-oo) == B(0, oo) + + +def test_issue_18795(): + r = Symbol('r', real=True) + a = B(-1,1) + c = B(7, oo) + b = B(-oo, oo) + assert c - tan(r) == B(7-tan(r), oo) + assert b + tan(r) == B(-oo, oo) + assert (a + r)/a == B(-oo, oo)*B(r - 1, r + 1) + assert (b + a)/a == B(-oo, oo) + + +def test_AccumBounds_func(): + assert (x**2 + 2*x + 1).subs(x, B(-1, 1)) == B(-1, 4) + assert exp(B(0, 1)) == B(1, E) + assert exp(B(-oo, oo)) == B(0, oo) + assert log(B(3, 6)) == B(log(3), log(6)) + + +@XFAIL +def test_AccumBounds_powf(): + nn = Symbol('nn', nonnegative=True) + assert B(1 + nn, 2 + nn)**B(1, 2) == B(1 + nn, (2 + nn)**2) + i = Symbol('i', integer=True, negative=True) + assert B(1, 2)**i == B(2**i, 1) + + +def test_AccumBounds_pow(): + assert B(0, 2)**2 == B(0, 4) + assert B(-1, 1)**2 == B(0, 1) + assert B(1, 2)**2 == B(1, 4) + assert B(-1, 2)**3 == B(-1, 8) + assert B(-1, 1)**0 == 1 + + assert B(1, 2)**Rational(5, 2) == B(1, 4*sqrt(2)) + assert B(0, 2)**S.Half == B(0, sqrt(2)) + + neg = Symbol('neg', negative=True) + assert unchanged(Pow, B(neg, 1), S.Half) + nn = Symbol('nn', nonnegative=True) + assert B(nn, nn + 1)**S.Half == B(sqrt(nn), sqrt(nn + 1)) + assert B(nn, nn + 1)**nn == B(nn**nn, (nn + 1)**nn) + assert unchanged(Pow, B(nn, nn + 1), x) + i = Symbol('i', integer=True) + assert B(1, 2)**i == B(Min(1, 2**i), Max(1, 2**i)) + i = Symbol('i', integer=True, nonnegative=True) + assert B(1, 2)**i == B(1, 2**i) + assert B(0, 1)**i == B(0**i, 1) + + assert B(1, 5)**(-2) == B(Rational(1, 25), 1) + assert B(-1, 3)**(-2) == B(0, oo) + assert B(0, 2)**(-3) == B(Rational(1, 8), oo) + assert B(-2, 0)**(-3) == B(-oo, -Rational(1, 8)) + assert B(0, 2)**(-2) == B(Rational(1, 4), oo) + assert B(-1, 2)**(-3) == B(-oo, oo) + assert B(-3, -2)**(-3) == B(Rational(-1, 8), Rational(-1, 27)) + assert B(-3, -2)**(-2) == B(Rational(1, 9), Rational(1, 4)) + assert B(0, oo)**S.Half == B(0, oo) + assert B(-oo, 0)**(-2) == B(0, oo) + assert B(-2, 0)**(-2) == B(Rational(1, 4), oo) + + assert B(Rational(1, 3), S.Half)**oo is S.Zero + assert B(0, S.Half)**oo is S.Zero + assert B(S.Half, 1)**oo == B(0, oo) + assert B(0, 1)**oo == B(0, oo) + assert B(2, 3)**oo is oo + assert B(1, 2)**oo == B(0, oo) + assert B(S.Half, 3)**oo == B(0, oo) + assert B(Rational(-1, 3), Rational(-1, 4))**oo is S.Zero + assert B(-1, Rational(-1, 2))**oo is S.NaN + assert B(-3, -2)**oo is zoo + assert B(-2, -1)**oo is S.NaN + assert B(-2, Rational(-1, 2))**oo is S.NaN + assert B(Rational(-1, 2), S.Half)**oo is S.Zero + assert B(Rational(-1, 2), 1)**oo == B(0, oo) + assert B(Rational(-2, 3), 2)**oo == B(0, oo) + assert B(-1, 1)**oo == B(-oo, oo) + assert B(-1, S.Half)**oo == B(-oo, oo) + assert B(-1, 2)**oo == B(-oo, oo) + assert B(-2, S.Half)**oo == B(-oo, oo) + + assert B(1, 2)**x == Pow(B(1, 2), x, evaluate=False) + + assert B(2, 3)**(-oo) is S.Zero + assert B(0, 2)**(-oo) == B(0, oo) + assert B(-1, 2)**(-oo) == B(-oo, oo) + + assert (tan(x)**sin(2*x)).subs(x, B(0, pi/2)) == \ + Pow(B(-oo, oo), B(0, 1)) + + +def test_AccumBounds_exponent(): + # base is 0 + z = 0**B(a, a + S.Half) + assert z.subs(a, 0) == B(0, 1) + assert z.subs(a, 1) == 0 + p = z.subs(a, -1) + assert p.is_Pow and p.args == (0, B(-1, -S.Half)) + # base > 0 + # when base is 1 the type of bounds does not matter + assert 1**B(a, a + 1) == 1 + # otherwise we need to know if 0 is in the bounds + assert S.Half**B(-2, 2) == B(S(1)/4, 4) + assert 2**B(-2, 2) == B(S(1)/4, 4) + + # +eps may introduce +oo + # if there is a negative integer exponent + assert B(0, 1)**B(S(1)/2, 1) == B(0, 1) + assert B(0, 1)**B(0, 1) == B(0, 1) + + # positive bases have positive bounds + assert B(2, 3)**B(-3, -2) == B(S(1)/27, S(1)/4) + assert B(2, 3)**B(-3, 2) == B(S(1)/27, 9) + + # bounds generating imaginary parts unevaluated + assert unchanged(Pow, B(-1, 1), B(1, 2)) + assert B(0, S(1)/2)**B(1, oo) == B(0, S(1)/2) + assert B(0, 1)**B(1, oo) == B(0, oo) + assert B(0, 2)**B(1, oo) == B(0, oo) + assert B(0, oo)**B(1, oo) == B(0, oo) + assert B(S(1)/2, 1)**B(1, oo) == B(0, oo) + assert B(S(1)/2, 1)**B(-oo, -1) == B(0, oo) + assert B(S(1)/2, 1)**B(-oo, oo) == B(0, oo) + assert B(S(1)/2, 2)**B(1, oo) == B(0, oo) + assert B(S(1)/2, 2)**B(-oo, -1) == B(0, oo) + assert B(S(1)/2, 2)**B(-oo, oo) == B(0, oo) + assert B(S(1)/2, oo)**B(1, oo) == B(0, oo) + assert B(S(1)/2, oo)**B(-oo, -1) == B(0, oo) + assert B(S(1)/2, oo)**B(-oo, oo) == B(0, oo) + assert B(1, 2)**B(1, oo) == B(0, oo) + assert B(1, 2)**B(-oo, -1) == B(0, oo) + assert B(1, 2)**B(-oo, oo) == B(0, oo) + assert B(1, oo)**B(1, oo) == B(0, oo) + assert B(1, oo)**B(-oo, -1) == B(0, oo) + assert B(1, oo)**B(-oo, oo) == B(0, oo) + assert B(2, oo)**B(1, oo) == B(2, oo) + assert B(2, oo)**B(-oo, -1) == B(0, S(1)/2) + assert B(2, oo)**B(-oo, oo) == B(0, oo) + + +def test_comparison_AccumBounds(): + assert (B(1, 3) < 4) == S.true + assert (B(1, 3) < -1) == S.false + assert (B(1, 3) < 2).rel_op == '<' + assert (B(1, 3) <= 2).rel_op == '<=' + + assert (B(1, 3) > 4) == S.false + assert (B(1, 3) > -1) == S.true + assert (B(1, 3) > 2).rel_op == '>' + assert (B(1, 3) >= 2).rel_op == '>=' + + assert (B(1, 3) < B(4, 6)) == S.true + assert (B(1, 3) < B(2, 4)).rel_op == '<' + assert (B(1, 3) < B(-2, 0)) == S.false + + assert (B(1, 3) <= B(4, 6)) == S.true + assert (B(1, 3) <= B(-2, 0)) == S.false + + assert (B(1, 3) > B(4, 6)) == S.false + assert (B(1, 3) > B(-2, 0)) == S.true + + assert (B(1, 3) >= B(4, 6)) == S.false + assert (B(1, 3) >= B(-2, 0)) == S.true + + # issue 13499 + assert (cos(x) > 0).subs(x, oo) == (B(-1, 1) > 0) + + c = Symbol('c') + raises(TypeError, lambda: (B(0, 1) < c)) + raises(TypeError, lambda: (B(0, 1) <= c)) + raises(TypeError, lambda: (B(0, 1) > c)) + raises(TypeError, lambda: (B(0, 1) >= c)) + + +def test_contains_AccumBounds(): + assert (1 in B(1, 2)) == S.true + raises(TypeError, lambda: a in B(1, 2)) + assert 0 in B(-1, 0) + raises(TypeError, lambda: + (cos(1)**2 + sin(1)**2 - 1) in B(-1, 0)) + assert (-oo in B(1, oo)) == S.true + assert (oo in B(-oo, 0)) == S.true + + # issue 13159 + assert Mul(0, B(-1, 1)) == Mul(B(-1, 1), 0) == 0 + import itertools + for perm in itertools.permutations([0, B(-1, 1), x]): + assert Mul(*perm) == 0 + + +def test_intersection_AccumBounds(): + assert B(0, 3).intersection(B(1, 2)) == B(1, 2) + assert B(0, 3).intersection(B(1, 4)) == B(1, 3) + assert B(0, 3).intersection(B(-1, 2)) == B(0, 2) + assert B(0, 3).intersection(B(-1, 4)) == B(0, 3) + assert B(0, 1).intersection(B(2, 3)) == S.EmptySet + raises(TypeError, lambda: B(0, 3).intersection(1)) + + +def test_union_AccumBounds(): + assert B(0, 3).union(B(1, 2)) == B(0, 3) + assert B(0, 3).union(B(1, 4)) == B(0, 4) + assert B(0, 3).union(B(-1, 2)) == B(-1, 3) + assert B(0, 3).union(B(-1, 4)) == B(-1, 4) + raises(TypeError, lambda: B(0, 3).union(1)) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/calculus/tests/test_euler.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/calculus/tests/test_euler.py new file mode 100644 index 0000000000000000000000000000000000000000..56371c8c787d9459d1390e18c306fddde94d2745 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/calculus/tests/test_euler.py @@ -0,0 +1,74 @@ +from sympy.core.function import (Derivative as D, Function) +from sympy.core.relational import Eq +from sympy.core.symbol import (Symbol, symbols) +from sympy.functions.elementary.trigonometric import (cos, sin) +from sympy.testing.pytest import raises +from sympy.calculus.euler import euler_equations as euler + + +def test_euler_interface(): + x = Function('x') + y = Symbol('y') + t = Symbol('t') + raises(TypeError, lambda: euler()) + raises(TypeError, lambda: euler(D(x(t), t)*y(t), [x(t), y])) + raises(ValueError, lambda: euler(D(x(t), t)*x(y), [x(t), x(y)])) + raises(TypeError, lambda: euler(D(x(t), t)**2, x(0))) + raises(TypeError, lambda: euler(D(x(t), t)*y(t), [t])) + assert euler(D(x(t), t)**2/2, {x(t)}) == [Eq(-D(x(t), t, t), 0)] + assert euler(D(x(t), t)**2/2, x(t), {t}) == [Eq(-D(x(t), t, t), 0)] + + +def test_euler_pendulum(): + x = Function('x') + t = Symbol('t') + L = D(x(t), t)**2/2 + cos(x(t)) + assert euler(L, x(t), t) == [Eq(-sin(x(t)) - D(x(t), t, t), 0)] + + +def test_euler_henonheiles(): + x = Function('x') + y = Function('y') + t = Symbol('t') + L = sum(D(z(t), t)**2/2 - z(t)**2/2 for z in [x, y]) + L += -x(t)**2*y(t) + y(t)**3/3 + assert euler(L, [x(t), y(t)], t) == [Eq(-2*x(t)*y(t) - x(t) - + D(x(t), t, t), 0), + Eq(-x(t)**2 + y(t)**2 - + y(t) - D(y(t), t, t), 0)] + + +def test_euler_sineg(): + psi = Function('psi') + t = Symbol('t') + x = Symbol('x') + L = D(psi(t, x), t)**2/2 - D(psi(t, x), x)**2/2 + cos(psi(t, x)) + assert euler(L, psi(t, x), [t, x]) == [Eq(-sin(psi(t, x)) - + D(psi(t, x), t, t) + + D(psi(t, x), x, x), 0)] + + +def test_euler_high_order(): + # an example from hep-th/0309038 + m = Symbol('m') + k = Symbol('k') + x = Function('x') + y = Function('y') + t = Symbol('t') + L = (m*D(x(t), t)**2/2 + m*D(y(t), t)**2/2 - + k*D(x(t), t)*D(y(t), t, t) + k*D(y(t), t)*D(x(t), t, t)) + assert euler(L, [x(t), y(t)]) == [Eq(2*k*D(y(t), t, t, t) - + m*D(x(t), t, t), 0), + Eq(-2*k*D(x(t), t, t, t) - + m*D(y(t), t, t), 0)] + + w = Symbol('w') + L = D(x(t, w), t, w)**2/2 + assert euler(L) == [Eq(D(x(t, w), t, t, w, w), 0)] + +def test_issue_18653(): + x, y, z = symbols("x y z") + f, g, h = symbols("f g h", cls=Function, args=(x, y)) + f, g, h = f(), g(), h() + expr2 = f.diff(x)*h.diff(z) + assert euler(expr2, (f,), (x, y)) == [] diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/calculus/tests/test_finite_diff.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/calculus/tests/test_finite_diff.py new file mode 100644 index 0000000000000000000000000000000000000000..e9ecfbdd61b15f516c54bd6d716ba1f264ee2ca0 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/calculus/tests/test_finite_diff.py @@ -0,0 +1,164 @@ +from itertools import product + +from sympy.core.function import (Function, diff) +from sympy.core.numbers import Rational +from sympy.core.singleton import S +from sympy.core.symbol import symbols +from sympy.functions.elementary.exponential import exp +from sympy.calculus.finite_diff import ( + apply_finite_diff, differentiate_finite, finite_diff_weights, + _as_finite_diff +) +from sympy.testing.pytest import raises, warns_deprecated_sympy + + +def test_apply_finite_diff(): + x, h = symbols('x h') + f = Function('f') + assert (apply_finite_diff(1, [x-h, x+h], [f(x-h), f(x+h)], x) - + (f(x+h)-f(x-h))/(2*h)).simplify() == 0 + + assert (apply_finite_diff(1, [5, 6, 7], [f(5), f(6), f(7)], 5) - + (Rational(-3, 2)*f(5) + 2*f(6) - S.Half*f(7))).simplify() == 0 + raises(ValueError, lambda: apply_finite_diff(1, [x, h], [f(x)])) + + +def test_finite_diff_weights(): + + d = finite_diff_weights(1, [5, 6, 7], 5) + assert d[1][2] == [Rational(-3, 2), 2, Rational(-1, 2)] + + # Table 1, p. 702 in doi:10.1090/S0025-5718-1988-0935077-0 + # -------------------------------------------------------- + xl = [0, 1, -1, 2, -2, 3, -3, 4, -4] + + # d holds all coefficients + d = finite_diff_weights(4, xl, S.Zero) + + # Zeroeth derivative + for i in range(5): + assert d[0][i] == [S.One] + [S.Zero]*8 + + # First derivative + assert d[1][0] == [S.Zero]*9 + assert d[1][2] == [S.Zero, S.Half, Rational(-1, 2)] + [S.Zero]*6 + assert d[1][4] == [S.Zero, Rational(2, 3), Rational(-2, 3), Rational(-1, 12), Rational(1, 12)] + [S.Zero]*4 + assert d[1][6] == [S.Zero, Rational(3, 4), Rational(-3, 4), Rational(-3, 20), Rational(3, 20), + Rational(1, 60), Rational(-1, 60)] + [S.Zero]*2 + assert d[1][8] == [S.Zero, Rational(4, 5), Rational(-4, 5), Rational(-1, 5), Rational(1, 5), + Rational(4, 105), Rational(-4, 105), Rational(-1, 280), Rational(1, 280)] + + # Second derivative + for i in range(2): + assert d[2][i] == [S.Zero]*9 + assert d[2][2] == [-S(2), S.One, S.One] + [S.Zero]*6 + assert d[2][4] == [Rational(-5, 2), Rational(4, 3), Rational(4, 3), Rational(-1, 12), Rational(-1, 12)] + [S.Zero]*4 + assert d[2][6] == [Rational(-49, 18), Rational(3, 2), Rational(3, 2), Rational(-3, 20), Rational(-3, 20), + Rational(1, 90), Rational(1, 90)] + [S.Zero]*2 + assert d[2][8] == [Rational(-205, 72), Rational(8, 5), Rational(8, 5), Rational(-1, 5), Rational(-1, 5), + Rational(8, 315), Rational(8, 315), Rational(-1, 560), Rational(-1, 560)] + + # Third derivative + for i in range(3): + assert d[3][i] == [S.Zero]*9 + assert d[3][4] == [S.Zero, -S.One, S.One, S.Half, Rational(-1, 2)] + [S.Zero]*4 + assert d[3][6] == [S.Zero, Rational(-13, 8), Rational(13, 8), S.One, -S.One, + Rational(-1, 8), Rational(1, 8)] + [S.Zero]*2 + assert d[3][8] == [S.Zero, Rational(-61, 30), Rational(61, 30), Rational(169, 120), Rational(-169, 120), + Rational(-3, 10), Rational(3, 10), Rational(7, 240), Rational(-7, 240)] + + # Fourth derivative + for i in range(4): + assert d[4][i] == [S.Zero]*9 + assert d[4][4] == [S(6), -S(4), -S(4), S.One, S.One] + [S.Zero]*4 + assert d[4][6] == [Rational(28, 3), Rational(-13, 2), Rational(-13, 2), S(2), S(2), + Rational(-1, 6), Rational(-1, 6)] + [S.Zero]*2 + assert d[4][8] == [Rational(91, 8), Rational(-122, 15), Rational(-122, 15), Rational(169, 60), Rational(169, 60), + Rational(-2, 5), Rational(-2, 5), Rational(7, 240), Rational(7, 240)] + + # Table 2, p. 703 in doi:10.1090/S0025-5718-1988-0935077-0 + # -------------------------------------------------------- + xl = [[j/S(2) for j in list(range(-i*2+1, 0, 2))+list(range(1, i*2+1, 2))] + for i in range(1, 5)] + + # d holds all coefficients + d = [finite_diff_weights({0: 1, 1: 2, 2: 4, 3: 4}[i], xl[i], 0) for + i in range(4)] + + # Zeroth derivative + assert d[0][0][1] == [S.Half, S.Half] + assert d[1][0][3] == [Rational(-1, 16), Rational(9, 16), Rational(9, 16), Rational(-1, 16)] + assert d[2][0][5] == [Rational(3, 256), Rational(-25, 256), Rational(75, 128), Rational(75, 128), + Rational(-25, 256), Rational(3, 256)] + assert d[3][0][7] == [Rational(-5, 2048), Rational(49, 2048), Rational(-245, 2048), Rational(1225, 2048), + Rational(1225, 2048), Rational(-245, 2048), Rational(49, 2048), Rational(-5, 2048)] + + # First derivative + assert d[0][1][1] == [-S.One, S.One] + assert d[1][1][3] == [Rational(1, 24), Rational(-9, 8), Rational(9, 8), Rational(-1, 24)] + assert d[2][1][5] == [Rational(-3, 640), Rational(25, 384), Rational(-75, 64), + Rational(75, 64), Rational(-25, 384), Rational(3, 640)] + assert d[3][1][7] == [Rational(5, 7168), Rational(-49, 5120), + Rational(245, 3072), Rational(-1225, 1024), + Rational(1225, 1024), Rational(-245, 3072), + Rational(49, 5120), Rational(-5, 7168)] + + # Reasonably the rest of the table is also correct... (testing of that + # deemed excessive at the moment) + raises(ValueError, lambda: finite_diff_weights(-1, [1, 2])) + raises(ValueError, lambda: finite_diff_weights(1.2, [1, 2])) + x = symbols('x') + raises(ValueError, lambda: finite_diff_weights(x, [1, 2])) + + +def test_as_finite_diff(): + x = symbols('x') + f = Function('f') + dx = Function('dx') + + _as_finite_diff(f(x).diff(x), [x-2, x-1, x, x+1, x+2]) + + # Use of undefined functions in ``points`` + df_true = -f(x+dx(x)/2-dx(x+dx(x)/2)/2) / dx(x+dx(x)/2) \ + + f(x+dx(x)/2+dx(x+dx(x)/2)/2) / dx(x+dx(x)/2) + df_test = diff(f(x), x).as_finite_difference(points=dx(x), x0=x+dx(x)/2) + assert (df_test - df_true).simplify() == 0 + + +def test_differentiate_finite(): + x, y, h = symbols('x y h') + f = Function('f') + with warns_deprecated_sympy(): + res0 = differentiate_finite(f(x, y) + exp(42), x, y, evaluate=True) + xm, xp, ym, yp = [v + sign*S.Half for v, sign in product([x, y], [-1, 1])] + ref0 = f(xm, ym) + f(xp, yp) - f(xm, yp) - f(xp, ym) + assert (res0 - ref0).simplify() == 0 + + g = Function('g') + with warns_deprecated_sympy(): + res1 = differentiate_finite(f(x)*g(x) + 42, x, evaluate=True) + ref1 = (-f(x - S.Half) + f(x + S.Half))*g(x) + \ + (-g(x - S.Half) + g(x + S.Half))*f(x) + assert (res1 - ref1).simplify() == 0 + + res2 = differentiate_finite(f(x) + x**3 + 42, x, points=[x-1, x+1]) + ref2 = (f(x + 1) + (x + 1)**3 - f(x - 1) - (x - 1)**3)/2 + assert (res2 - ref2).simplify() == 0 + raises(TypeError, lambda: differentiate_finite(f(x)*g(x), x, + pints=[x-1, x+1])) + + res3 = differentiate_finite(f(x)*g(x).diff(x), x) + ref3 = (-g(x) + g(x + 1))*f(x + S.Half) - (g(x) - g(x - 1))*f(x - S.Half) + assert res3 == ref3 + + res4 = differentiate_finite(f(x)*g(x).diff(x).diff(x), x) + ref4 = -((g(x - Rational(3, 2)) - 2*g(x - S.Half) + g(x + S.Half))*f(x - S.Half)) \ + + (g(x - S.Half) - 2*g(x + S.Half) + g(x + Rational(3, 2)))*f(x + S.Half) + assert res4 == ref4 + + res5_expr = f(x).diff(x)*g(x).diff(x) + res5 = differentiate_finite(res5_expr, points=[x-h, x, x+h]) + ref5 = (-2*f(x)/h + f(-h + x)/(2*h) + 3*f(h + x)/(2*h))*(-2*g(x)/h + g(-h + x)/(2*h) \ + + 3*g(h + x)/(2*h))/(2*h) - (2*f(x)/h - 3*f(-h + x)/(2*h) - \ + f(h + x)/(2*h))*(2*g(x)/h - 3*g(-h + x)/(2*h) - g(h + x)/(2*h))/(2*h) + assert res5 == ref5 diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/calculus/tests/test_singularities.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/calculus/tests/test_singularities.py new file mode 100644 index 0000000000000000000000000000000000000000..19a042332326658021ce12a38f4e058f55903869 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/calculus/tests/test_singularities.py @@ -0,0 +1,122 @@ +from sympy.core.numbers import (I, Rational, pi, oo) +from sympy.core.singleton import S +from sympy.core.symbol import Symbol, Dummy +from sympy.core.function import Lambda +from sympy.functions.elementary.exponential import (exp, log) +from sympy.functions.elementary.trigonometric import sec, csc +from sympy.functions.elementary.hyperbolic import (coth, sech, + atanh, asech, acoth, acsch) +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.calculus.singularities import ( + singularities, + is_increasing, + is_strictly_increasing, + is_decreasing, + is_strictly_decreasing, + is_monotonic +) +from sympy.sets import Interval, FiniteSet, Union, ImageSet +from sympy.testing.pytest import raises +from sympy.abc import x, y + + +def test_singularities(): + x = Symbol('x') + assert singularities(x**2, x) == S.EmptySet + assert singularities(x/(x**2 + 3*x + 2), x) == FiniteSet(-2, -1) + assert singularities(1/(x**2 + 1), x) == FiniteSet(I, -I) + assert singularities(x/(x**3 + 1), x) == \ + FiniteSet(-1, (1 - sqrt(3) * I) / 2, (1 + sqrt(3) * I) / 2) + assert singularities(1/(y**2 + 2*I*y + 1), y) == \ + FiniteSet(-I + sqrt(2)*I, -I - sqrt(2)*I) + _n = Dummy('n') + assert singularities(sech(x), x).dummy_eq(Union( + ImageSet(Lambda(_n, 2*_n*I*pi + I*pi/2), S.Integers), + ImageSet(Lambda(_n, 2*_n*I*pi + 3*I*pi/2), S.Integers))) + assert singularities(coth(x), x).dummy_eq(Union( + ImageSet(Lambda(_n, 2*_n*I*pi + I*pi), S.Integers), + ImageSet(Lambda(_n, 2*_n*I*pi), S.Integers))) + assert singularities(atanh(x), x) == FiniteSet(-1, 1) + assert singularities(acoth(x), x) == FiniteSet(-1, 1) + assert singularities(asech(x), x) == FiniteSet(0) + assert singularities(acsch(x), x) == FiniteSet(0) + + x = Symbol('x', real=True) + assert singularities(1/(x**2 + 1), x) == S.EmptySet + assert singularities(exp(1/x), x, S.Reals) == FiniteSet(0) + assert singularities(exp(1/x), x, Interval(1, 2)) == S.EmptySet + assert singularities(log((x - 2)**2), x, Interval(1, 3)) == FiniteSet(2) + raises(NotImplementedError, lambda: singularities(x**-oo, x)) + assert singularities(sec(x), x, Interval(0, 3*pi)) == FiniteSet( + pi/2, 3*pi/2, 5*pi/2) + assert singularities(csc(x), x, Interval(0, 3*pi)) == FiniteSet( + 0, pi, 2*pi, 3*pi) + + +def test_is_increasing(): + """Test whether is_increasing returns correct value.""" + a = Symbol('a', negative=True) + + assert is_increasing(x**3 - 3*x**2 + 4*x, S.Reals) + assert is_increasing(-x**2, Interval(-oo, 0)) + assert not is_increasing(-x**2, Interval(0, oo)) + assert not is_increasing(4*x**3 - 6*x**2 - 72*x + 30, Interval(-2, 3)) + assert is_increasing(x**2 + y, Interval(1, oo), x) + assert is_increasing(-x**2*a, Interval(1, oo), x) + assert is_increasing(1) + + assert is_increasing(4*x**3 - 6*x**2 - 72*x + 30, Interval(-2, 3)) is False + + +def test_is_strictly_increasing(): + """Test whether is_strictly_increasing returns correct value.""" + assert is_strictly_increasing( + 4*x**3 - 6*x**2 - 72*x + 30, Interval.Ropen(-oo, -2)) + assert is_strictly_increasing( + 4*x**3 - 6*x**2 - 72*x + 30, Interval.Lopen(3, oo)) + assert not is_strictly_increasing( + 4*x**3 - 6*x**2 - 72*x + 30, Interval.open(-2, 3)) + assert not is_strictly_increasing(-x**2, Interval(0, oo)) + assert not is_strictly_decreasing(1) + + assert is_strictly_increasing(4*x**3 - 6*x**2 - 72*x + 30, Interval.open(-2, 3)) is False + + +def test_is_decreasing(): + """Test whether is_decreasing returns correct value.""" + b = Symbol('b', positive=True) + + assert is_decreasing(1/(x**2 - 3*x), Interval.open(Rational(3,2), 3)) + assert is_decreasing(1/(x**2 - 3*x), Interval.open(1.5, 3)) + assert is_decreasing(1/(x**2 - 3*x), Interval.Lopen(3, oo)) + assert not is_decreasing(1/(x**2 - 3*x), Interval.Ropen(-oo, Rational(3, 2))) + assert not is_decreasing(-x**2, Interval(-oo, 0)) + assert not is_decreasing(-x**2*b, Interval(-oo, 0), x) + + +def test_is_strictly_decreasing(): + """Test whether is_strictly_decreasing returns correct value.""" + assert is_strictly_decreasing(1/(x**2 - 3*x), Interval.Lopen(3, oo)) + assert not is_strictly_decreasing( + 1/(x**2 - 3*x), Interval.Ropen(-oo, Rational(3, 2))) + assert not is_strictly_decreasing(-x**2, Interval(-oo, 0)) + assert not is_strictly_decreasing(1) + assert is_strictly_decreasing(1/(x**2 - 3*x), Interval.open(Rational(3,2), 3)) + assert is_strictly_decreasing(1/(x**2 - 3*x), Interval.open(1.5, 3)) + + +def test_is_monotonic(): + """Test whether is_monotonic returns correct value.""" + assert is_monotonic(1/(x**2 - 3*x), Interval.open(Rational(3,2), 3)) + assert is_monotonic(1/(x**2 - 3*x), Interval.open(1.5, 3)) + assert is_monotonic(1/(x**2 - 3*x), Interval.Lopen(3, oo)) + assert is_monotonic(x**3 - 3*x**2 + 4*x, S.Reals) + assert not is_monotonic(-x**2, S.Reals) + assert is_monotonic(x**2 + y + 1, Interval(1, 2), x) + raises(NotImplementedError, lambda: is_monotonic(x**2 + y + 1)) + + +def test_issue_23401(): + x = Symbol('x') + expr = (x + 1)/(-1.0e-3*x**2 + 0.1*x + 0.1) + assert is_increasing(expr, Interval(1,2), x) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/calculus/tests/test_util.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/calculus/tests/test_util.py new file mode 100644 index 0000000000000000000000000000000000000000..c18b7a79fd54fdb2638cc746d43ab26753fc72a9 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/calculus/tests/test_util.py @@ -0,0 +1,392 @@ +from sympy.core.function import Lambda +from sympy.core.numbers import (E, I, Rational, oo, pi) +from sympy.core.relational import Eq +from sympy.core.singleton import S +from sympy.core.symbol import (Dummy, Symbol) +from sympy.functions.elementary.complexes import (Abs, re) +from sympy.functions.elementary.exponential import (exp, log) +from sympy.functions.elementary.integers import frac +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.piecewise import Piecewise +from sympy.functions.elementary.trigonometric import ( + cos, cot, csc, sec, sin, tan, asin, acos, atan, acot, asec, acsc) +from sympy.functions.elementary.hyperbolic import (sinh, cosh, tanh, coth, + sech, csch, asinh, acosh, atanh, acoth, asech, acsch) +from sympy.functions.special.gamma_functions import gamma +from sympy.functions.special.error_functions import expint +from sympy.matrices.expressions.matexpr import MatrixSymbol +from sympy.simplify.simplify import simplify +from sympy.calculus.util import (function_range, continuous_domain, not_empty_in, + periodicity, lcim, is_convex, + stationary_points, minimum, maximum) +from sympy.sets.sets import (Interval, FiniteSet, Complement, Union) +from sympy.sets.fancysets import ImageSet +from sympy.sets.conditionset import ConditionSet +from sympy.testing.pytest import XFAIL, raises, _both_exp_pow, slow +from sympy.abc import x, y + +a = Symbol('a', real=True) + +def test_function_range(): + assert function_range(sin(x), x, Interval(-pi/2, pi/2) + ) == Interval(-1, 1) + assert function_range(sin(x), x, Interval(0, pi) + ) == Interval(0, 1) + assert function_range(tan(x), x, Interval(0, pi) + ) == Interval(-oo, oo) + assert function_range(tan(x), x, Interval(pi/2, pi) + ) == Interval(-oo, 0) + assert function_range((x + 3)/(x - 2), x, Interval(-5, 5) + ) == Union(Interval(-oo, Rational(2, 7)), Interval(Rational(8, 3), oo)) + assert function_range(1/(x**2), x, Interval(-1, 1) + ) == Interval(1, oo) + assert function_range(exp(x), x, Interval(-1, 1) + ) == Interval(exp(-1), exp(1)) + assert function_range(log(x) - x, x, S.Reals + ) == Interval(-oo, -1) + assert function_range(sqrt(3*x - 1), x, Interval(0, 2) + ) == Interval(0, sqrt(5)) + assert function_range(x*(x - 1) - (x**2 - x), x, S.Reals + ) == FiniteSet(0) + assert function_range(x*(x - 1) - (x**2 - x) + y, x, S.Reals + ) == FiniteSet(y) + assert function_range(sin(x), x, Union(Interval(-5, -3), FiniteSet(4)) + ) == Union(Interval(-sin(3), 1), FiniteSet(sin(4))) + assert function_range(cos(x), x, Interval(-oo, -4) + ) == Interval(-1, 1) + assert function_range(cos(x), x, S.EmptySet) == S.EmptySet + assert function_range(x/sqrt(x**2+1), x, S.Reals) == Interval.open(-1,1) + raises(NotImplementedError, lambda : function_range( + exp(x)*(sin(x) - cos(x))/2 - x, x, S.Reals)) + raises(NotImplementedError, lambda : function_range( + sin(x) + x, x, S.Reals)) # issue 13273 + raises(NotImplementedError, lambda : function_range( + log(x), x, S.Integers)) + raises(NotImplementedError, lambda : function_range( + sin(x)/2, x, S.Naturals)) + + +@slow +def test_function_range1(): + assert function_range(tan(x)**2 + tan(3*x)**2 + 1, x, S.Reals) == Interval(1,oo) + + +def test_continuous_domain(): + assert continuous_domain(sin(x), x, Interval(0, 2*pi)) == Interval(0, 2*pi) + assert continuous_domain(tan(x), x, Interval(0, 2*pi)) == \ + Union(Interval(0, pi/2, False, True), Interval(pi/2, pi*Rational(3, 2), True, True), + Interval(pi*Rational(3, 2), 2*pi, True, False)) + assert continuous_domain(cot(x), x, Interval(0, 2*pi)) == Union( + Interval.open(0, pi), Interval.open(pi, 2*pi)) + assert continuous_domain((x - 1)/((x - 1)**2), x, S.Reals) == \ + Union(Interval(-oo, 1, True, True), Interval(1, oo, True, True)) + assert continuous_domain(log(x) + log(4*x - 1), x, S.Reals) == \ + Interval(Rational(1, 4), oo, True, True) + assert continuous_domain(1/sqrt(x - 3), x, S.Reals) == Interval(3, oo, True, True) + assert continuous_domain(1/x - 2, x, S.Reals) == \ + Union(Interval.open(-oo, 0), Interval.open(0, oo)) + assert continuous_domain(1/(x**2 - 4) + 2, x, S.Reals) == \ + Union(Interval.open(-oo, -2), Interval.open(-2, 2), Interval.open(2, oo)) + assert continuous_domain((x+1)**pi, x, S.Reals) == Interval(-1, oo) + assert continuous_domain((x+1)**(pi/2), x, S.Reals) == Interval(-1, oo) + assert continuous_domain(x**x, x, S.Reals) == Interval(0, oo) + assert continuous_domain((x+1)**log(x**2), x, S.Reals) == Union( + Interval.Ropen(-1, 0), Interval.open(0, oo)) + domain = continuous_domain(log(tan(x)**2 + 1), x, S.Reals) + assert not domain.contains(3*pi/2) + assert domain.contains(5) + d = Symbol('d', even=True, zero=False) + assert continuous_domain(x**(1/d), x, S.Reals) == Interval(0, oo) + n = Dummy('n') + assert continuous_domain(1/sin(x), x, S.Reals).dummy_eq(Complement( + S.Reals, Union(ImageSet(Lambda(n, 2*n*pi + pi), S.Integers), + ImageSet(Lambda(n, 2*n*pi), S.Integers)))) + assert continuous_domain(sin(x) + cos(x), x, S.Reals) == S.Reals + assert continuous_domain(asin(x), x, S.Reals) == Interval(-1, 1) # issue #21786 + assert continuous_domain(1/acos(log(x)), x, S.Reals) == Interval.Ropen(exp(-1), E) + assert continuous_domain(sinh(x)+cosh(x), x, S.Reals) == S.Reals + assert continuous_domain(tanh(x)+sech(x), x, S.Reals) == S.Reals + assert continuous_domain(atan(x)+asinh(x), x, S.Reals) == S.Reals + assert continuous_domain(acosh(x), x, S.Reals) == Interval(1, oo) + assert continuous_domain(atanh(x), x, S.Reals) == Interval.open(-1, 1) + assert continuous_domain(atanh(x)+acosh(x), x, S.Reals) == S.EmptySet + assert continuous_domain(asech(x), x, S.Reals) == Interval.Lopen(0, 1) + assert continuous_domain(acoth(x), x, S.Reals) == Union( + Interval.open(-oo, -1), Interval.open(1, oo)) + assert continuous_domain(asec(x), x, S.Reals) == Union( + Interval(-oo, -1), Interval(1, oo)) + assert continuous_domain(acsc(x), x, S.Reals) == Union( + Interval(-oo, -1), Interval(1, oo)) + for f in (coth, acsch, csch): + assert continuous_domain(f(x), x, S.Reals) == Union( + Interval.open(-oo, 0), Interval.open(0, oo)) + assert continuous_domain(acot(x), x, S.Reals).contains(0) == False + assert continuous_domain(1/(exp(x) - x), x, S.Reals) == Complement( + S.Reals, ConditionSet(x, Eq(-x + exp(x), 0), S.Reals)) + assert continuous_domain(frac(x**2), x, Interval(-2,-1)) == Union( + Interval.open(-2, -sqrt(3)), Interval.open(-sqrt(2), -1), + Interval.open(-sqrt(3), -sqrt(2))) + assert continuous_domain(frac(x), x, S.Reals) == Complement( + S.Reals, S.Integers) + raises(NotImplementedError, lambda : continuous_domain( + 1/(x**2+1), x, S.Complexes)) + raises(NotImplementedError, lambda : continuous_domain( + gamma(x), x, Interval(-5,0))) + assert continuous_domain(x + gamma(pi), x, S.Reals) == S.Reals + + +@XFAIL +def test_continuous_domain_acot(): + acot_cont = Piecewise((pi+acot(x), x<0), (acot(x), True)) + assert continuous_domain(acot_cont, x, S.Reals) == S.Reals + +@XFAIL +def test_continuous_domain_gamma(): + assert continuous_domain(gamma(x), x, S.Reals).contains(-1) == False + +@XFAIL +def test_continuous_domain_neg_power(): + assert continuous_domain((x-2)**(1-x), x, S.Reals) == Interval.open(2, oo) + + +def test_not_empty_in(): + assert not_empty_in(FiniteSet(x, 2*x).intersect(Interval(1, 2, True, False)), x) == \ + Interval(S.Half, 2, True, False) + assert not_empty_in(FiniteSet(x, x**2).intersect(Interval(1, 2)), x) == \ + Union(Interval(-sqrt(2), -1), Interval(1, 2)) + assert not_empty_in(FiniteSet(x**2 + x, x).intersect(Interval(2, 4)), x) == \ + Union(Interval(-sqrt(17)/2 - S.Half, -2), + Interval(1, Rational(-1, 2) + sqrt(17)/2), Interval(2, 4)) + assert not_empty_in(FiniteSet(x/(x - 1)).intersect(S.Reals), x) == \ + Complement(S.Reals, FiniteSet(1)) + assert not_empty_in(FiniteSet(a/(a - 1)).intersect(S.Reals), a) == \ + Complement(S.Reals, FiniteSet(1)) + assert not_empty_in(FiniteSet((x**2 - 3*x + 2)/(x - 1)).intersect(S.Reals), x) == \ + Complement(S.Reals, FiniteSet(1)) + assert not_empty_in(FiniteSet(3, 4, x/(x - 1)).intersect(Interval(2, 3)), x) == \ + Interval(-oo, oo) + assert not_empty_in(FiniteSet(4, x/(x - 1)).intersect(Interval(2, 3)), x) == \ + Interval(S(3)/2, 2) + assert not_empty_in(FiniteSet(x/(x**2 - 1)).intersect(S.Reals), x) == \ + Complement(S.Reals, FiniteSet(-1, 1)) + assert not_empty_in(FiniteSet(x, x**2).intersect(Union(Interval(1, 3, True, True), + Interval(4, 5))), x) == \ + Union(Interval(-sqrt(5), -2), Interval(-sqrt(3), -1, True, True), + Interval(1, 3, True, True), Interval(4, 5)) + assert not_empty_in(FiniteSet(1).intersect(Interval(3, 4)), x) == S.EmptySet + assert not_empty_in(FiniteSet(x**2/(x + 2)).intersect(Interval(1, oo)), x) == \ + Union(Interval(-2, -1, True, False), Interval(2, oo)) + raises(ValueError, lambda: not_empty_in(x)) + raises(ValueError, lambda: not_empty_in(Interval(0, 1), x)) + raises(NotImplementedError, + lambda: not_empty_in(FiniteSet(x).intersect(S.Reals), x, a)) + + +@_both_exp_pow +def test_periodicity(): + assert periodicity(sin(2*x), x) == pi + assert periodicity((-2)*tan(4*x), x) == pi/4 + assert periodicity(sin(x)**2, x) == 2*pi + assert periodicity(3**tan(3*x), x) == pi/3 + assert periodicity(tan(x)*cos(x), x) == 2*pi + assert periodicity(sin(x)**(tan(x)), x) == 2*pi + assert periodicity(tan(x)*sec(x), x) == 2*pi + assert periodicity(sin(2*x)*cos(2*x) - y, x) == pi/2 + assert periodicity(tan(x) + cot(x), x) == pi + assert periodicity(sin(x) - cos(2*x), x) == 2*pi + assert periodicity(sin(x) - 1, x) == 2*pi + assert periodicity(sin(4*x) + sin(x)*cos(x), x) == pi + assert periodicity(exp(sin(x)), x) == 2*pi + assert periodicity(log(cot(2*x)) - sin(cos(2*x)), x) == pi + assert periodicity(sin(2*x)*exp(tan(x) - csc(2*x)), x) == pi + assert periodicity(cos(sec(x) - csc(2*x)), x) == 2*pi + assert periodicity(tan(sin(2*x)), x) == pi + assert periodicity(2*tan(x)**2, x) == pi + assert periodicity(sin(x%4), x) == 4 + assert periodicity(sin(x)%4, x) == 2*pi + assert periodicity(tan((3*x-2)%4), x) == Rational(4, 3) + assert periodicity((sqrt(2)*(x+1)+x) % 3, x) == 3 / (sqrt(2)+1) + assert periodicity((x**2+1) % x, x) is None + assert periodicity(sin(re(x)), x) == 2*pi + assert periodicity(sin(x)**2 + cos(x)**2, x) is S.Zero + assert periodicity(tan(x), y) is S.Zero + assert periodicity(sin(x) + I*cos(x), x) == 2*pi + assert periodicity(x - sin(2*y), y) == pi + + assert periodicity(exp(x), x) is None + assert periodicity(exp(I*x), x) == 2*pi + assert periodicity(exp(I*a), a) == 2*pi + assert periodicity(exp(a), a) is None + assert periodicity(exp(log(sin(a) + I*cos(2*a)), evaluate=False), a) == 2*pi + assert periodicity(exp(log(sin(2*a) + I*cos(a)), evaluate=False), a) == 2*pi + assert periodicity(exp(sin(a)), a) == 2*pi + assert periodicity(exp(2*I*a), a) == pi + assert periodicity(exp(a + I*sin(a)), a) is None + assert periodicity(exp(cos(a/2) + sin(a)), a) == 4*pi + assert periodicity(log(x), x) is None + assert periodicity(exp(x)**sin(x), x) is None + assert periodicity(sin(x)**y, y) is None + + assert periodicity(Abs(sin(Abs(sin(x)))), x) == pi + assert all(periodicity(Abs(f(x)), x) == pi for f in ( + cos, sin, sec, csc, tan, cot)) + assert periodicity(Abs(sin(tan(x))), x) == pi + assert periodicity(Abs(sin(sin(x) + tan(x))), x) == 2*pi + assert periodicity(sin(x) > S.Half, x) == 2*pi + + assert periodicity(x > 2, x) is None + assert periodicity(x**3 - x**2 + 1, x) is None + assert periodicity(Abs(x), x) is None + assert periodicity(Abs(x**2 - 1), x) is None + + assert periodicity((x**2 + 4)%2, x) is None + assert periodicity((E**x)%3, x) is None + + assert periodicity(sin(expint(1, x))/expint(1, x), x) is None + # returning `None` for any Piecewise + p = Piecewise((0, x < -1), (x**2, x <= 1), (log(x), True)) + assert periodicity(p, x) is None + + m = MatrixSymbol('m', 3, 3) + raises(NotImplementedError, lambda: periodicity(sin(m), m)) + raises(NotImplementedError, lambda: periodicity(sin(m[0, 0]), m)) + raises(NotImplementedError, lambda: periodicity(sin(m), m[0, 0])) + raises(NotImplementedError, lambda: periodicity(sin(m[0, 0]), m[0, 0])) + + +def test_periodicity_check(): + assert periodicity(tan(x), x, check=True) == pi + assert periodicity(sin(x) + cos(x), x, check=True) == 2*pi + assert periodicity(sec(x), x) == 2*pi + assert periodicity(sin(x*y), x) == 2*pi/abs(y) + assert periodicity(Abs(sec(sec(x))), x) == pi + + +def test_lcim(): + assert lcim([S.Half, S(2), S(3)]) == 6 + assert lcim([pi/2, pi/4, pi]) == pi + assert lcim([2*pi, pi/2]) == 2*pi + assert lcim([S.One, 2*pi]) is None + assert lcim([S(2) + 2*E, E/3 + Rational(1, 3), S.One + E]) == S(2) + 2*E + + +def test_is_convex(): + assert is_convex(1/x, x, domain=Interval.open(0, oo)) == True + assert is_convex(1/x, x, domain=Interval(-oo, 0)) == False + assert is_convex(x**2, x, domain=Interval(0, oo)) == True + assert is_convex(1/x**3, x, domain=Interval.Lopen(0, oo)) == True + assert is_convex(-1/x**3, x, domain=Interval.Ropen(-oo, 0)) == True + assert is_convex(log(x) ,x) == False + assert is_convex(x**2+y**2, x, y) == True + assert is_convex(cos(x) + cos(y), x) == False + assert is_convex(8*x**2 - 2*y**2, x, y) == False + + +def test_stationary_points(): + assert stationary_points(sin(x), x, Interval(-pi/2, pi/2) + ) == {-pi/2, pi/2} + assert stationary_points(sin(x), x, Interval.Ropen(0, pi/4) + ) is S.EmptySet + assert stationary_points(tan(x), x, + ) is S.EmptySet + assert stationary_points(sin(x)*cos(x), x, Interval(0, pi) + ) == {pi/4, pi*Rational(3, 4)} + assert stationary_points(sec(x), x, Interval(0, pi) + ) == {0, pi} + assert stationary_points((x+3)*(x-2), x + ) == FiniteSet(Rational(-1, 2)) + assert stationary_points((x + 3)/(x - 2), x, Interval(-5, 5) + ) is S.EmptySet + assert stationary_points((x**2+3)/(x-2), x + ) == {2 - sqrt(7), 2 + sqrt(7)} + assert stationary_points((x**2+3)/(x-2), x, Interval(0, 5) + ) == {2 + sqrt(7)} + assert stationary_points(x**4 + x**3 - 5*x**2, x, S.Reals + ) == FiniteSet(-2, 0, Rational(5, 4)) + assert stationary_points(exp(x), x + ) is S.EmptySet + assert stationary_points(log(x) - x, x, S.Reals + ) == {1} + assert stationary_points(cos(x), x, Union(Interval(0, 5), Interval(-6, -3)) + ) == {0, -pi, pi} + assert stationary_points(y, x, S.Reals + ) == S.Reals + assert stationary_points(y, x, S.EmptySet) == S.EmptySet + + +def test_maximum(): + assert maximum(sin(x), x) is S.One + assert maximum(sin(x), x, Interval(0, 1)) == sin(1) + assert maximum(tan(x), x) is oo + assert maximum(tan(x), x, Interval(-pi/4, pi/4)) is S.One + assert maximum(sin(x)*cos(x), x, S.Reals) == S.Half + assert simplify(maximum(sin(x)*cos(x), x, Interval(pi*Rational(3, 8), pi*Rational(5, 8))) + ) == sqrt(2)/4 + assert maximum((x+3)*(x-2), x) is oo + assert maximum((x+3)*(x-2), x, Interval(-5, 0)) == S(14) + assert maximum((x+3)/(x-2), x, Interval(-5, 0)) == Rational(2, 7) + assert simplify(maximum(-x**4-x**3+x**2+10, x) + ) == 41*sqrt(41)/512 + Rational(5419, 512) + assert maximum(exp(x), x, Interval(-oo, 2)) == exp(2) + assert maximum(log(x) - x, x, S.Reals) is S.NegativeOne + assert maximum(cos(x), x, Union(Interval(0, 5), Interval(-6, -3)) + ) is S.One + assert maximum(cos(x)-sin(x), x, S.Reals) == sqrt(2) + assert maximum(y, x, S.Reals) == y + assert maximum(abs(a**3 + a), a, Interval(0, 2)) == 10 + assert maximum(abs(60*a**3 + 24*a), a, Interval(0, 2)) == 528 + assert maximum(abs(12*a*(5*a**2 + 2)), a, Interval(0, 2)) == 528 + assert maximum(x/sqrt(x**2+1), x, S.Reals) == 1 + + raises(ValueError, lambda : maximum(sin(x), x, S.EmptySet)) + raises(ValueError, lambda : maximum(log(cos(x)), x, S.EmptySet)) + raises(ValueError, lambda : maximum(1/(x**2 + y**2 + 1), x, S.EmptySet)) + raises(ValueError, lambda : maximum(sin(x), sin(x))) + raises(ValueError, lambda : maximum(sin(x), x*y, S.EmptySet)) + raises(ValueError, lambda : maximum(sin(x), S.One)) + + +def test_minimum(): + assert minimum(sin(x), x) is S.NegativeOne + assert minimum(sin(x), x, Interval(1, 4)) == sin(4) + assert minimum(tan(x), x) is -oo + assert minimum(tan(x), x, Interval(-pi/4, pi/4)) is S.NegativeOne + assert minimum(sin(x)*cos(x), x, S.Reals) == Rational(-1, 2) + assert simplify(minimum(sin(x)*cos(x), x, Interval(pi*Rational(3, 8), pi*Rational(5, 8))) + ) == -sqrt(2)/4 + assert minimum((x+3)*(x-2), x) == Rational(-25, 4) + assert minimum((x+3)/(x-2), x, Interval(-5, 0)) == Rational(-3, 2) + assert minimum(x**4-x**3+x**2+10, x) == S(10) + assert minimum(exp(x), x, Interval(-2, oo)) == exp(-2) + assert minimum(log(x) - x, x, S.Reals) is -oo + assert minimum(cos(x), x, Union(Interval(0, 5), Interval(-6, -3)) + ) is S.NegativeOne + assert minimum(cos(x)-sin(x), x, S.Reals) == -sqrt(2) + assert minimum(y, x, S.Reals) == y + assert minimum(x/sqrt(x**2+1), x, S.Reals) == -1 + + raises(ValueError, lambda : minimum(sin(x), x, S.EmptySet)) + raises(ValueError, lambda : minimum(log(cos(x)), x, S.EmptySet)) + raises(ValueError, lambda : minimum(1/(x**2 + y**2 + 1), x, S.EmptySet)) + raises(ValueError, lambda : minimum(sin(x), sin(x))) + raises(ValueError, lambda : minimum(sin(x), x*y, S.EmptySet)) + raises(ValueError, lambda : minimum(sin(x), S.One)) + + +def test_issue_19869(): + assert (maximum(sqrt(3)*(x - 1)/(3*sqrt(x**2 + 1)), x) + ) == sqrt(3)/3 + + +def test_issue_16469(): + f = abs(a) + assert function_range(f, a, S.Reals) == Interval(0, oo, False, True) + + +@_both_exp_pow +def test_issue_18747(): + assert periodicity(exp(pi*I*(x/4 + S.Half/2)), x) == 8 + + +def test_issue_25942(): + assert (acos(x) > pi/3).as_set() == Interval.Ropen(-1, S(1)/2) diff --git 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100644 index 0000000000000000000000000000000000000000..7f7f42fef25cb6c0eac1e60e7343256e6cafc3ce Binary files /dev/null and b/tool_server/.venv/lib/python3.12/site-packages/sympy/categories/tests/__pycache__/test_drawing.cpython-312.pyc differ diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/categories/tests/test_baseclasses.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/categories/tests/test_baseclasses.py new file mode 100644 index 0000000000000000000000000000000000000000..cfac32229768fb5903b23b11ffb236912c0b931e --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/categories/tests/test_baseclasses.py @@ -0,0 +1,209 @@ +from sympy.categories import (Object, Morphism, IdentityMorphism, + NamedMorphism, CompositeMorphism, + Diagram, Category) +from sympy.categories.baseclasses import Class +from sympy.testing.pytest import raises +from sympy.core.containers import (Dict, Tuple) +from sympy.sets import EmptySet +from sympy.sets.sets import FiniteSet + + +def test_morphisms(): + A = Object("A") + B = Object("B") + C = Object("C") + D = Object("D") + + # Test the base morphism. + f = NamedMorphism(A, B, "f") + assert f.domain == A + assert f.codomain == B + assert f == NamedMorphism(A, B, "f") + + # Test identities. + id_A = IdentityMorphism(A) + id_B = IdentityMorphism(B) + assert id_A.domain == A + assert id_A.codomain == A + assert id_A == IdentityMorphism(A) + assert id_A != id_B + + # Test named morphisms. + g = NamedMorphism(B, C, "g") + assert g.name == "g" + assert g != f + assert g == NamedMorphism(B, C, "g") + assert g != NamedMorphism(B, C, "f") + + # Test composite morphisms. + assert f == CompositeMorphism(f) + + k = g.compose(f) + assert k.domain == A + assert k.codomain == C + assert k.components == Tuple(f, g) + assert g * f == k + assert CompositeMorphism(f, g) == k + + assert CompositeMorphism(g * f) == g * f + + # Test the associativity of composition. + h = NamedMorphism(C, D, "h") + + p = h * g + u = h * g * f + + assert h * k == u + assert p * f == u + assert CompositeMorphism(f, g, h) == u + + # Test flattening. + u2 = u.flatten("u") + assert isinstance(u2, NamedMorphism) + assert u2.name == "u" + assert u2.domain == A + assert u2.codomain == D + + # Test identities. + assert f * id_A == f + assert id_B * f == f + assert id_A * id_A == id_A + assert CompositeMorphism(id_A) == id_A + + # Test bad compositions. + raises(ValueError, lambda: f * g) + + raises(TypeError, lambda: f.compose(None)) + raises(TypeError, lambda: id_A.compose(None)) + raises(TypeError, lambda: f * None) + raises(TypeError, lambda: id_A * None) + + raises(TypeError, lambda: CompositeMorphism(f, None, 1)) + + raises(ValueError, lambda: NamedMorphism(A, B, "")) + raises(NotImplementedError, lambda: Morphism(A, B)) + + +def test_diagram(): + A = Object("A") + B = Object("B") + C = Object("C") + + f = NamedMorphism(A, B, "f") + g = NamedMorphism(B, C, "g") + id_A = IdentityMorphism(A) + id_B = IdentityMorphism(B) + + empty = EmptySet + + # Test the addition of identities. + d1 = Diagram([f]) + + assert d1.objects == FiniteSet(A, B) + assert d1.hom(A, B) == (FiniteSet(f), empty) + assert d1.hom(A, A) == (FiniteSet(id_A), empty) + assert d1.hom(B, B) == (FiniteSet(id_B), empty) + + assert d1 == Diagram([id_A, f]) + assert d1 == Diagram([f, f]) + + # Test the addition of composites. + d2 = Diagram([f, g]) + homAC = d2.hom(A, C)[0] + + assert d2.objects == FiniteSet(A, B, C) + assert g * f in d2.premises.keys() + assert homAC == FiniteSet(g * f) + + # Test equality, inequality and hash. + d11 = Diagram([f]) + + assert d1 == d11 + assert d1 != d2 + assert hash(d1) == hash(d11) + + d11 = Diagram({f: "unique"}) + assert d1 != d11 + + # Make sure that (re-)adding composites (with new properties) + # works as expected. + d = Diagram([f, g], {g * f: "unique"}) + assert d.conclusions == Dict({g * f: FiniteSet("unique")}) + + # Check the hom-sets when there are premises and conclusions. + assert d.hom(A, C) == (FiniteSet(g * f), FiniteSet(g * f)) + d = Diagram([f, g], [g * f]) + assert d.hom(A, C) == (FiniteSet(g * f), FiniteSet(g * f)) + + # Check how the properties of composite morphisms are computed. + d = Diagram({f: ["unique", "isomorphism"], g: "unique"}) + assert d.premises[g * f] == FiniteSet("unique") + + # Check that conclusion morphisms with new objects are not allowed. + d = Diagram([f], [g]) + assert d.conclusions == Dict({}) + + # Test an empty diagram. + d = Diagram() + assert d.premises == Dict({}) + assert d.conclusions == Dict({}) + assert d.objects == empty + + # Check a SymPy Dict object. + d = Diagram(Dict({f: FiniteSet("unique", "isomorphism"), g: "unique"})) + assert d.premises[g * f] == FiniteSet("unique") + + # Check the addition of components of composite morphisms. + d = Diagram([g * f]) + assert f in d.premises + assert g in d.premises + + # Check subdiagrams. + d = Diagram([f, g], {g * f: "unique"}) + + d1 = Diagram([f]) + assert d.is_subdiagram(d1) + assert not d1.is_subdiagram(d) + + d = Diagram([NamedMorphism(B, A, "f'")]) + assert not d.is_subdiagram(d1) + assert not d1.is_subdiagram(d) + + d1 = Diagram([f, g], {g * f: ["unique", "something"]}) + assert not d.is_subdiagram(d1) + assert not d1.is_subdiagram(d) + + d = Diagram({f: "blooh"}) + d1 = Diagram({f: "bleeh"}) + assert not d.is_subdiagram(d1) + assert not d1.is_subdiagram(d) + + d = Diagram([f, g], {f: "unique", g * f: "veryunique"}) + d1 = d.subdiagram_from_objects(FiniteSet(A, B)) + assert d1 == Diagram([f], {f: "unique"}) + raises(ValueError, lambda: d.subdiagram_from_objects(FiniteSet(A, + Object("D")))) + + raises(ValueError, lambda: Diagram({IdentityMorphism(A): "unique"})) + + +def test_category(): + A = Object("A") + B = Object("B") + C = Object("C") + + f = NamedMorphism(A, B, "f") + g = NamedMorphism(B, C, "g") + + d1 = Diagram([f, g]) + d2 = Diagram([f]) + + objects = d1.objects | d2.objects + + K = Category("K", objects, commutative_diagrams=[d1, d2]) + + assert K.name == "K" + assert K.objects == Class(objects) + assert K.commutative_diagrams == FiniteSet(d1, d2) + + raises(ValueError, lambda: Category("")) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/categories/tests/test_drawing.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/categories/tests/test_drawing.py new file mode 100644 index 0000000000000000000000000000000000000000..63a13266cd6b58f6a85aad4af0813b395acbb5e1 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/categories/tests/test_drawing.py @@ -0,0 +1,919 @@ +from sympy.categories.diagram_drawing import _GrowableGrid, ArrowStringDescription +from sympy.categories import (DiagramGrid, Object, NamedMorphism, + Diagram, XypicDiagramDrawer, xypic_draw_diagram) +from sympy.sets.sets import FiniteSet + + +def test_GrowableGrid(): + grid = _GrowableGrid(1, 2) + + # Check dimensions. + assert grid.width == 1 + assert grid.height == 2 + + # Check initialization of elements. + assert grid[0, 0] is None + assert grid[1, 0] is None + + # Check assignment to elements. + grid[0, 0] = 1 + grid[1, 0] = "two" + + assert grid[0, 0] == 1 + assert grid[1, 0] == "two" + + # Check appending a row. + grid.append_row() + + assert grid.width == 1 + assert grid.height == 3 + + assert grid[0, 0] == 1 + assert grid[1, 0] == "two" + assert grid[2, 0] is None + + # Check appending a column. + grid.append_column() + assert grid.width == 2 + assert grid.height == 3 + + assert grid[0, 0] == 1 + assert grid[1, 0] == "two" + assert grid[2, 0] is None + + assert grid[0, 1] is None + assert grid[1, 1] is None + assert grid[2, 1] is None + + grid = _GrowableGrid(1, 2) + grid[0, 0] = 1 + grid[1, 0] = "two" + + # Check prepending a row. + grid.prepend_row() + assert grid.width == 1 + assert grid.height == 3 + + assert grid[0, 0] is None + assert grid[1, 0] == 1 + assert grid[2, 0] == "two" + + # Check prepending a column. + grid.prepend_column() + assert grid.width == 2 + assert grid.height == 3 + + assert grid[0, 0] is None + assert grid[1, 0] is None + assert grid[2, 0] is None + + assert grid[0, 1] is None + assert grid[1, 1] == 1 + assert grid[2, 1] == "two" + + +def test_DiagramGrid(): + # Set up some objects and morphisms. + A = Object("A") + B = Object("B") + C = Object("C") + D = Object("D") + E = Object("E") + + f = NamedMorphism(A, B, "f") + g = NamedMorphism(B, C, "g") + h = NamedMorphism(D, A, "h") + k = NamedMorphism(D, B, "k") + + # A one-morphism diagram. + d = Diagram([f]) + grid = DiagramGrid(d) + + assert grid.width == 2 + assert grid.height == 1 + assert grid[0, 0] == A + assert grid[0, 1] == B + assert grid.morphisms == {f: FiniteSet()} + + # A triangle. + d = Diagram([f, g], {g * f: "unique"}) + grid = DiagramGrid(d) + + assert grid.width == 2 + assert grid.height == 2 + assert grid[0, 0] == A + assert grid[0, 1] == B + assert grid[1, 0] == C + assert grid[1, 1] is None + assert grid.morphisms == {f: FiniteSet(), g: FiniteSet(), + g * f: FiniteSet("unique")} + + # A triangle with a "loop" morphism. + l_A = NamedMorphism(A, A, "l_A") + d = Diagram([f, g, l_A]) + grid = DiagramGrid(d) + + assert grid.width == 2 + assert grid.height == 2 + assert grid[0, 0] == A + assert grid[0, 1] == B + assert grid[1, 0] is None + assert grid[1, 1] == C + assert grid.morphisms == {f: FiniteSet(), g: FiniteSet(), l_A: FiniteSet()} + + # A simple diagram. + d = Diagram([f, g, h, k]) + grid = DiagramGrid(d) + + assert grid.width == 3 + assert grid.height == 2 + assert grid[0, 0] == A + assert grid[0, 1] == B + assert grid[0, 2] == D + assert grid[1, 0] is None + assert grid[1, 1] == C + assert grid[1, 2] is None + assert grid.morphisms == {f: FiniteSet(), g: FiniteSet(), h: FiniteSet(), + k: FiniteSet()} + + assert str(grid) == '[[Object("A"), Object("B"), Object("D")], ' \ + '[None, Object("C"), None]]' + + # A chain of morphisms. + f = NamedMorphism(A, B, "f") + g = NamedMorphism(B, C, "g") + h = NamedMorphism(C, D, "h") + k = NamedMorphism(D, E, "k") + d = Diagram([f, g, h, k]) + grid = DiagramGrid(d) + + assert grid.width == 3 + assert grid.height == 3 + assert grid[0, 0] == A + assert grid[0, 1] == B + assert grid[0, 2] is None + assert grid[1, 0] is None + assert grid[1, 1] == C + assert grid[1, 2] == D + assert grid[2, 0] is None + assert grid[2, 1] is None + assert grid[2, 2] == E + assert grid.morphisms == {f: FiniteSet(), g: FiniteSet(), h: FiniteSet(), + k: FiniteSet()} + + # A square. + f = NamedMorphism(A, B, "f") + g = NamedMorphism(B, D, "g") + h = NamedMorphism(A, C, "h") + k = NamedMorphism(C, D, "k") + d = Diagram([f, g, h, k]) + grid = DiagramGrid(d) + + assert grid.width == 2 + assert grid.height == 2 + assert grid[0, 0] == A + assert grid[0, 1] == B + assert grid[1, 0] == C + assert grid[1, 1] == D + assert grid.morphisms == {f: FiniteSet(), g: FiniteSet(), h: FiniteSet(), + k: FiniteSet()} + + # A strange diagram which resulted from a typo when creating a + # test for five lemma, but which allowed to stop one extra problem + # in the algorithm. + A = Object("A") + B = Object("B") + C = Object("C") + D = Object("D") + E = Object("E") + A_ = Object("A'") + B_ = Object("B'") + C_ = Object("C'") + D_ = Object("D'") + E_ = Object("E'") + + f = NamedMorphism(A, B, "f") + g = NamedMorphism(B, C, "g") + h = NamedMorphism(C, D, "h") + i = NamedMorphism(D, E, "i") + + # These 4 morphisms should be between primed objects. + j = NamedMorphism(A, B, "j") + k = NamedMorphism(B, C, "k") + l = NamedMorphism(C, D, "l") + m = NamedMorphism(D, E, "m") + + o = NamedMorphism(A, A_, "o") + p = NamedMorphism(B, B_, "p") + q = NamedMorphism(C, C_, "q") + r = NamedMorphism(D, D_, "r") + s = NamedMorphism(E, E_, "s") + + d = Diagram([f, g, h, i, j, k, l, m, o, p, q, r, s]) + grid = DiagramGrid(d) + + assert grid.width == 3 + assert grid.height == 4 + assert grid[0, 0] is None + assert grid[0, 1] == A + assert grid[0, 2] == A_ + assert grid[1, 0] == C + assert grid[1, 1] == B + assert grid[1, 2] == B_ + assert grid[2, 0] == C_ + assert grid[2, 1] == D + assert grid[2, 2] == D_ + assert grid[3, 0] is None + assert grid[3, 1] == E + assert grid[3, 2] == E_ + + morphisms = {} + for m in [f, g, h, i, j, k, l, m, o, p, q, r, s]: + morphisms[m] = FiniteSet() + assert grid.morphisms == morphisms + + # A cube. + A1 = Object("A1") + A2 = Object("A2") + A3 = Object("A3") + A4 = Object("A4") + A5 = Object("A5") + A6 = Object("A6") + A7 = Object("A7") + A8 = Object("A8") + + # The top face of the cube. + f1 = NamedMorphism(A1, A2, "f1") + f2 = NamedMorphism(A1, A3, "f2") + f3 = NamedMorphism(A2, A4, "f3") + f4 = NamedMorphism(A3, A4, "f3") + + # The bottom face of the cube. + f5 = NamedMorphism(A5, A6, "f5") + f6 = NamedMorphism(A5, A7, "f6") + f7 = NamedMorphism(A6, A8, "f7") + f8 = NamedMorphism(A7, A8, "f8") + + # The remaining morphisms. + f9 = NamedMorphism(A1, A5, "f9") + f10 = NamedMorphism(A2, A6, "f10") + f11 = NamedMorphism(A3, A7, "f11") + f12 = NamedMorphism(A4, A8, "f11") + + d = Diagram([f1, f2, f3, f4, f5, f6, f7, f8, f9, f10, f11, f12]) + grid = DiagramGrid(d) + + assert grid.width == 4 + assert grid.height == 3 + assert grid[0, 0] is None + assert grid[0, 1] == A5 + assert grid[0, 2] == A6 + assert grid[0, 3] is None + assert grid[1, 0] is None + assert grid[1, 1] == A1 + assert grid[1, 2] == A2 + assert grid[1, 3] is None + assert grid[2, 0] == A7 + assert grid[2, 1] == A3 + assert grid[2, 2] == A4 + assert grid[2, 3] == A8 + + morphisms = {} + for m in [f1, f2, f3, f4, f5, f6, f7, f8, f9, f10, f11, f12]: + morphisms[m] = FiniteSet() + assert grid.morphisms == morphisms + + # A line diagram. + A = Object("A") + B = Object("B") + C = Object("C") + D = Object("D") + E = Object("E") + + f = NamedMorphism(A, B, "f") + g = NamedMorphism(B, C, "g") + h = NamedMorphism(C, D, "h") + i = NamedMorphism(D, E, "i") + d = Diagram([f, g, h, i]) + grid = DiagramGrid(d, layout="sequential") + + assert grid.width == 5 + assert grid.height == 1 + assert grid[0, 0] == A + assert grid[0, 1] == B + assert grid[0, 2] == C + assert grid[0, 3] == D + assert grid[0, 4] == E + assert grid.morphisms == {f: FiniteSet(), g: FiniteSet(), h: FiniteSet(), + i: FiniteSet()} + + # Test the transposed version. + grid = DiagramGrid(d, layout="sequential", transpose=True) + + assert grid.width == 1 + assert grid.height == 5 + assert grid[0, 0] == A + assert grid[1, 0] == B + assert grid[2, 0] == C + assert grid[3, 0] == D + assert grid[4, 0] == E + assert grid.morphisms == {f: FiniteSet(), g: FiniteSet(), h: FiniteSet(), + i: FiniteSet()} + + # A pullback. + m1 = NamedMorphism(A, B, "m1") + m2 = NamedMorphism(A, C, "m2") + s1 = NamedMorphism(B, D, "s1") + s2 = NamedMorphism(C, D, "s2") + f1 = NamedMorphism(E, B, "f1") + f2 = NamedMorphism(E, C, "f2") + g = NamedMorphism(E, A, "g") + + d = Diagram([m1, m2, s1, s2, f1, f2], {g: "unique"}) + grid = DiagramGrid(d) + + assert grid.width == 3 + assert grid.height == 2 + assert grid[0, 0] == A + assert grid[0, 1] == B + assert grid[0, 2] == E + assert grid[1, 0] == C + assert grid[1, 1] == D + assert grid[1, 2] is None + + morphisms = {g: FiniteSet("unique")} + for m in [m1, m2, s1, s2, f1, f2]: + morphisms[m] = FiniteSet() + assert grid.morphisms == morphisms + + # Test the pullback with sequential layout, just for stress + # testing. + grid = DiagramGrid(d, layout="sequential") + + assert grid.width == 5 + assert grid.height == 1 + assert grid[0, 0] == D + assert grid[0, 1] == B + assert grid[0, 2] == A + assert grid[0, 3] == C + assert grid[0, 4] == E + assert grid.morphisms == morphisms + + # Test a pullback with object grouping. + grid = DiagramGrid(d, groups=FiniteSet(E, FiniteSet(A, B, C, D))) + + assert grid.width == 3 + assert grid.height == 2 + assert grid[0, 0] == E + assert grid[0, 1] == A + assert grid[0, 2] == B + assert grid[1, 0] is None + assert grid[1, 1] == C + assert grid[1, 2] == D + assert grid.morphisms == morphisms + + # Five lemma, actually. + A = Object("A") + B = Object("B") + C = Object("C") + D = Object("D") + E = Object("E") + A_ = Object("A'") + B_ = Object("B'") + C_ = Object("C'") + D_ = Object("D'") + E_ = Object("E'") + + f = NamedMorphism(A, B, "f") + g = NamedMorphism(B, C, "g") + h = NamedMorphism(C, D, "h") + i = NamedMorphism(D, E, "i") + + j = NamedMorphism(A_, B_, "j") + k = NamedMorphism(B_, C_, "k") + l = NamedMorphism(C_, D_, "l") + m = NamedMorphism(D_, E_, "m") + + o = NamedMorphism(A, A_, "o") + p = NamedMorphism(B, B_, "p") + q = NamedMorphism(C, C_, "q") + r = NamedMorphism(D, D_, "r") + s = NamedMorphism(E, E_, "s") + + d = Diagram([f, g, h, i, j, k, l, m, o, p, q, r, s]) + grid = DiagramGrid(d) + + assert grid.width == 5 + assert grid.height == 3 + assert grid[0, 0] is None + assert grid[0, 1] == A + assert grid[0, 2] == A_ + assert grid[0, 3] is None + assert grid[0, 4] is None + assert grid[1, 0] == C + assert grid[1, 1] == B + assert grid[1, 2] == B_ + assert grid[1, 3] == C_ + assert grid[1, 4] is None + assert grid[2, 0] == D + assert grid[2, 1] == E + assert grid[2, 2] is None + assert grid[2, 3] == D_ + assert grid[2, 4] == E_ + + morphisms = {} + for m in [f, g, h, i, j, k, l, m, o, p, q, r, s]: + morphisms[m] = FiniteSet() + assert grid.morphisms == morphisms + + # Test the five lemma with object grouping. + grid = DiagramGrid(d, FiniteSet( + FiniteSet(A, B, C, D, E), FiniteSet(A_, B_, C_, D_, E_))) + + assert grid.width == 6 + assert grid.height == 3 + assert grid[0, 0] == A + assert grid[0, 1] == B + assert grid[0, 2] is None + assert grid[0, 3] == A_ + assert grid[0, 4] == B_ + assert grid[0, 5] is None + assert grid[1, 0] is None + assert grid[1, 1] == C + assert grid[1, 2] == D + assert grid[1, 3] is None + assert grid[1, 4] == C_ + assert grid[1, 5] == D_ + assert grid[2, 0] is None + assert grid[2, 1] is None + assert grid[2, 2] == E + assert grid[2, 3] is None + assert grid[2, 4] is None + assert grid[2, 5] == E_ + assert grid.morphisms == morphisms + + # Test the five lemma with object grouping, but mixing containers + # to represent groups. + grid = DiagramGrid(d, [(A, B, C, D, E), {A_, B_, C_, D_, E_}]) + + assert grid.width == 6 + assert grid.height == 3 + assert grid[0, 0] == A + assert grid[0, 1] == B + assert grid[0, 2] is None + assert grid[0, 3] == A_ + assert grid[0, 4] == B_ + assert grid[0, 5] is None + assert grid[1, 0] is None + assert grid[1, 1] == C + assert grid[1, 2] == D + assert grid[1, 3] is None + assert grid[1, 4] == C_ + assert grid[1, 5] == D_ + assert grid[2, 0] is None + assert grid[2, 1] is None + assert grid[2, 2] == E + assert grid[2, 3] is None + assert grid[2, 4] is None + assert grid[2, 5] == E_ + assert grid.morphisms == morphisms + + # Test the five lemma with object grouping and hints. + grid = DiagramGrid(d, { + FiniteSet(A, B, C, D, E): {"layout": "sequential", + "transpose": True}, + FiniteSet(A_, B_, C_, D_, E_): {"layout": "sequential", + "transpose": True}}, + transpose=True) + + assert grid.width == 5 + assert grid.height == 2 + assert grid[0, 0] == A + assert grid[0, 1] == B + assert grid[0, 2] == C + assert grid[0, 3] == D + assert grid[0, 4] == E + assert grid[1, 0] == A_ + assert grid[1, 1] == B_ + assert grid[1, 2] == C_ + assert grid[1, 3] == D_ + assert grid[1, 4] == E_ + assert grid.morphisms == morphisms + + # A two-triangle disconnected diagram. + f = NamedMorphism(A, B, "f") + g = NamedMorphism(B, C, "g") + f_ = NamedMorphism(A_, B_, "f") + g_ = NamedMorphism(B_, C_, "g") + d = Diagram([f, g, f_, g_], {g * f: "unique", g_ * f_: "unique"}) + grid = DiagramGrid(d) + + assert grid.width == 4 + assert grid.height == 2 + assert grid[0, 0] == A + assert grid[0, 1] == B + assert grid[0, 2] == A_ + assert grid[0, 3] == B_ + assert grid[1, 0] == C + assert grid[1, 1] is None + assert grid[1, 2] == C_ + assert grid[1, 3] is None + assert grid.morphisms == {f: FiniteSet(), g: FiniteSet(), f_: FiniteSet(), + g_: FiniteSet(), g * f: FiniteSet("unique"), + g_ * f_: FiniteSet("unique")} + + # A two-morphism disconnected diagram. + f = NamedMorphism(A, B, "f") + g = NamedMorphism(C, D, "g") + d = Diagram([f, g]) + grid = DiagramGrid(d) + + assert grid.width == 4 + assert grid.height == 1 + assert grid[0, 0] == A + assert grid[0, 1] == B + assert grid[0, 2] == C + assert grid[0, 3] == D + assert grid.morphisms == {f: FiniteSet(), g: FiniteSet()} + + # Test a one-object diagram. + f = NamedMorphism(A, A, "f") + d = Diagram([f]) + grid = DiagramGrid(d) + + assert grid.width == 1 + assert grid.height == 1 + assert grid[0, 0] == A + + # Test a two-object disconnected diagram. + g = NamedMorphism(B, B, "g") + d = Diagram([f, g]) + grid = DiagramGrid(d) + + assert grid.width == 2 + assert grid.height == 1 + assert grid[0, 0] == A + assert grid[0, 1] == B + + +def test_DiagramGrid_pseudopod(): + # Test a diagram in which even growing a pseudopod does not + # eventually help. + A = Object("A") + B = Object("B") + C = Object("C") + D = Object("D") + E = Object("E") + F = Object("F") + A_ = Object("A'") + B_ = Object("B'") + C_ = Object("C'") + D_ = Object("D'") + E_ = Object("E'") + + f1 = NamedMorphism(A, B, "f1") + f2 = NamedMorphism(A, C, "f2") + f3 = NamedMorphism(A, D, "f3") + f4 = NamedMorphism(A, E, "f4") + f5 = NamedMorphism(A, A_, "f5") + f6 = NamedMorphism(A, B_, "f6") + f7 = NamedMorphism(A, C_, "f7") + f8 = NamedMorphism(A, D_, "f8") + f9 = NamedMorphism(A, E_, "f9") + f10 = NamedMorphism(A, F, "f10") + d = Diagram([f1, f2, f3, f4, f5, f6, f7, f8, f9, f10]) + grid = DiagramGrid(d) + + assert grid.width == 5 + assert grid.height == 3 + assert grid[0, 0] == E + assert grid[0, 1] == C + assert grid[0, 2] == C_ + assert grid[0, 3] == E_ + assert grid[0, 4] == F + assert grid[1, 0] == D + assert grid[1, 1] == A + assert grid[1, 2] == A_ + assert grid[1, 3] is None + assert grid[1, 4] is None + assert grid[2, 0] == D_ + assert grid[2, 1] == B + assert grid[2, 2] == B_ + assert grid[2, 3] is None + assert grid[2, 4] is None + + morphisms = {} + for f in [f1, f2, f3, f4, f5, f6, f7, f8, f9, f10]: + morphisms[f] = FiniteSet() + assert grid.morphisms == morphisms + + +def test_ArrowStringDescription(): + astr = ArrowStringDescription("cm", "", None, "", "", "d", "r", "_", "f") + assert str(astr) == "\\ar[dr]_{f}" + + astr = ArrowStringDescription("cm", "", 12, "", "", "d", "r", "_", "f") + assert str(astr) == "\\ar[dr]_{f}" + + astr = ArrowStringDescription("cm", "^", 12, "", "", "d", "r", "_", "f") + assert str(astr) == "\\ar@/^12cm/[dr]_{f}" + + astr = ArrowStringDescription("cm", "", 12, "r", "", "d", "r", "_", "f") + assert str(astr) == "\\ar[dr]_{f}" + + astr = ArrowStringDescription("cm", "", 12, "r", "u", "d", "r", "_", "f") + assert str(astr) == "\\ar@(r,u)[dr]_{f}" + + astr = ArrowStringDescription("cm", "", 12, "r", "u", "d", "r", "_", "f") + assert str(astr) == "\\ar@(r,u)[dr]_{f}" + + astr = ArrowStringDescription("cm", "", 12, "r", "u", "d", "r", "_", "f") + astr.arrow_style = "{-->}" + assert str(astr) == "\\ar@(r,u)@{-->}[dr]_{f}" + + astr = ArrowStringDescription("cm", "_", 12, "", "", "d", "r", "_", "f") + astr.arrow_style = "{-->}" + assert str(astr) == "\\ar@/_12cm/@{-->}[dr]_{f}" + + +def test_XypicDiagramDrawer_line(): + # A linear diagram. + A = Object("A") + B = Object("B") + C = Object("C") + D = Object("D") + E = Object("E") + + f = NamedMorphism(A, B, "f") + g = NamedMorphism(B, C, "g") + h = NamedMorphism(C, D, "h") + i = NamedMorphism(D, E, "i") + d = Diagram([f, g, h, i]) + grid = DiagramGrid(d, layout="sequential") + drawer = XypicDiagramDrawer() + assert drawer.draw(d, grid) == "\\xymatrix{\n" \ + "A \\ar[r]^{f} & B \\ar[r]^{g} & C \\ar[r]^{h} & D \\ar[r]^{i} & E \n" \ + "}\n" + + # The same diagram, transposed. + grid = DiagramGrid(d, layout="sequential", transpose=True) + drawer = XypicDiagramDrawer() + assert drawer.draw(d, grid) == "\\xymatrix{\n" \ + "A \\ar[d]^{f} \\\\\n" \ + "B \\ar[d]^{g} \\\\\n" \ + "C \\ar[d]^{h} \\\\\n" \ + "D \\ar[d]^{i} \\\\\n" \ + "E \n" \ + "}\n" + + +def test_XypicDiagramDrawer_triangle(): + # A triangle diagram. + A = Object("A") + B = Object("B") + C = Object("C") + f = NamedMorphism(A, B, "f") + g = NamedMorphism(B, C, "g") + + d = Diagram([f, g], {g * f: "unique"}) + grid = DiagramGrid(d) + drawer = XypicDiagramDrawer() + assert drawer.draw(d, grid) == "\\xymatrix{\n" \ + "A \\ar[d]_{g\\circ f} \\ar[r]^{f} & B \\ar[ld]^{g} \\\\\n" \ + "C & \n" \ + "}\n" + + # The same diagram, transposed. + grid = DiagramGrid(d, transpose=True) + drawer = XypicDiagramDrawer() + assert drawer.draw(d, grid) == "\\xymatrix{\n" \ + "A \\ar[r]^{g\\circ f} \\ar[d]_{f} & C \\\\\n" \ + "B \\ar[ru]_{g} & \n" \ + "}\n" + + # The same diagram, with a masked morphism. + assert drawer.draw(d, grid, masked=[g]) == "\\xymatrix{\n" \ + "A \\ar[r]^{g\\circ f} \\ar[d]_{f} & C \\\\\n" \ + "B & \n" \ + "}\n" + + # The same diagram with a formatter for "unique". + def formatter(astr): + astr.label = "\\exists !" + astr.label + astr.arrow_style = "{-->}" + + drawer.arrow_formatters["unique"] = formatter + assert drawer.draw(d, grid) == "\\xymatrix{\n" \ + "A \\ar@{-->}[r]^{\\exists !g\\circ f} \\ar[d]_{f} & C \\\\\n" \ + "B \\ar[ru]_{g} & \n" \ + "}\n" + + # The same diagram with a default formatter. + def default_formatter(astr): + astr.label_displacement = "(0.45)" + + drawer.default_arrow_formatter = default_formatter + assert drawer.draw(d, grid) == "\\xymatrix{\n" \ + "A \\ar@{-->}[r]^(0.45){\\exists !g\\circ f} \\ar[d]_(0.45){f} & C \\\\\n" \ + "B \\ar[ru]_(0.45){g} & \n" \ + "}\n" + + # A triangle diagram with a lot of morphisms between the same + # objects. + f1 = NamedMorphism(B, A, "f1") + f2 = NamedMorphism(A, B, "f2") + g1 = NamedMorphism(C, B, "g1") + g2 = NamedMorphism(B, C, "g2") + d = Diagram([f, f1, f2, g, g1, g2], {f1 * g1: "unique", g2 * f2: "unique"}) + + grid = DiagramGrid(d, transpose=True) + drawer = XypicDiagramDrawer() + assert drawer.draw(d, grid, masked=[f1*g1*g2*f2, g2*f2*f1*g1]) == \ + "\\xymatrix{\n" \ + "A \\ar[r]^{g_{2}\\circ f_{2}} \\ar[d]_{f} \\ar@/^3mm/[d]^{f_{2}} " \ + "& C \\ar@/^3mm/[l]^{f_{1}\\circ g_{1}} \\ar@/^3mm/[ld]^{g_{1}} \\\\\n" \ + "B \\ar@/^3mm/[u]^{f_{1}} \\ar[ru]_{g} \\ar@/^3mm/[ru]^{g_{2}} & \n" \ + "}\n" + + +def test_XypicDiagramDrawer_cube(): + # A cube diagram. + A1 = Object("A1") + A2 = Object("A2") + A3 = Object("A3") + A4 = Object("A4") + A5 = Object("A5") + A6 = Object("A6") + A7 = Object("A7") + A8 = Object("A8") + + # The top face of the cube. + f1 = NamedMorphism(A1, A2, "f1") + f2 = NamedMorphism(A1, A3, "f2") + f3 = NamedMorphism(A2, A4, "f3") + f4 = NamedMorphism(A3, A4, "f3") + + # The bottom face of the cube. + f5 = NamedMorphism(A5, A6, "f5") + f6 = NamedMorphism(A5, A7, "f6") + f7 = NamedMorphism(A6, A8, "f7") + f8 = NamedMorphism(A7, A8, "f8") + + # The remaining morphisms. + f9 = NamedMorphism(A1, A5, "f9") + f10 = NamedMorphism(A2, A6, "f10") + f11 = NamedMorphism(A3, A7, "f11") + f12 = NamedMorphism(A4, A8, "f11") + + d = Diagram([f1, f2, f3, f4, f5, f6, f7, f8, f9, f10, f11, f12]) + grid = DiagramGrid(d) + drawer = XypicDiagramDrawer() + assert drawer.draw(d, grid) == "\\xymatrix{\n" \ + "& A_{5} \\ar[r]^{f_{5}} \\ar[ldd]_{f_{6}} & A_{6} \\ar[rdd]^{f_{7}} " \ + "& \\\\\n" \ + "& A_{1} \\ar[r]^{f_{1}} \\ar[d]^{f_{2}} \\ar[u]^{f_{9}} & A_{2} " \ + "\\ar[d]^{f_{3}} \\ar[u]_{f_{10}} & \\\\\n" \ + "A_{7} \\ar@/_3mm/[rrr]_{f_{8}} & A_{3} \\ar[r]^{f_{3}} \\ar[l]_{f_{11}} " \ + "& A_{4} \\ar[r]^{f_{11}} & A_{8} \n" \ + "}\n" + + # The same diagram, transposed. + grid = DiagramGrid(d, transpose=True) + drawer = XypicDiagramDrawer() + assert drawer.draw(d, grid) == "\\xymatrix{\n" \ + "& & A_{7} \\ar@/^3mm/[ddd]^{f_{8}} \\\\\n" \ + "A_{5} \\ar[d]_{f_{5}} \\ar[rru]^{f_{6}} & A_{1} \\ar[d]^{f_{1}} " \ + "\\ar[r]^{f_{2}} \\ar[l]^{f_{9}} & A_{3} \\ar[d]_{f_{3}} " \ + "\\ar[u]^{f_{11}} \\\\\n" \ + "A_{6} \\ar[rrd]_{f_{7}} & A_{2} \\ar[r]^{f_{3}} \\ar[l]^{f_{10}} " \ + "& A_{4} \\ar[d]_{f_{11}} \\\\\n" \ + "& & A_{8} \n" \ + "}\n" + + +def test_XypicDiagramDrawer_curved_and_loops(): + # A simple diagram, with a curved arrow. + A = Object("A") + B = Object("B") + C = Object("C") + D = Object("D") + + f = NamedMorphism(A, B, "f") + g = NamedMorphism(B, C, "g") + h = NamedMorphism(D, A, "h") + k = NamedMorphism(D, B, "k") + d = Diagram([f, g, h, k]) + grid = DiagramGrid(d) + drawer = XypicDiagramDrawer() + assert drawer.draw(d, grid) == "\\xymatrix{\n" \ + "A \\ar[r]_{f} & B \\ar[d]^{g} & D \\ar[l]^{k} \\ar@/_3mm/[ll]_{h} \\\\\n" \ + "& C & \n" \ + "}\n" + + # The same diagram, transposed. + grid = DiagramGrid(d, transpose=True) + drawer = XypicDiagramDrawer() + assert drawer.draw(d, grid) == "\\xymatrix{\n" \ + "A \\ar[d]^{f} & \\\\\n" \ + "B \\ar[r]^{g} & C \\\\\n" \ + "D \\ar[u]_{k} \\ar@/^3mm/[uu]^{h} & \n" \ + "}\n" + + # The same diagram, larger and rotated. + assert drawer.draw(d, grid, diagram_format="@+1cm@dr") == \ + "\\xymatrix@+1cm@dr{\n" \ + "A \\ar[d]^{f} & \\\\\n" \ + "B \\ar[r]^{g} & C \\\\\n" \ + "D \\ar[u]_{k} \\ar@/^3mm/[uu]^{h} & \n" \ + "}\n" + + # A simple diagram with three curved arrows. + h1 = NamedMorphism(D, A, "h1") + h2 = NamedMorphism(A, D, "h2") + k = NamedMorphism(D, B, "k") + d = Diagram([f, g, h, k, h1, h2]) + grid = DiagramGrid(d) + drawer = XypicDiagramDrawer() + assert drawer.draw(d, grid) == "\\xymatrix{\n" \ + "A \\ar[r]_{f} \\ar@/^3mm/[rr]^{h_{2}} & B \\ar[d]^{g} & D \\ar[l]^{k} " \ + "\\ar@/_7mm/[ll]_{h} \\ar@/_11mm/[ll]_{h_{1}} \\\\\n" \ + "& C & \n" \ + "}\n" + + # The same diagram, transposed. + grid = DiagramGrid(d, transpose=True) + drawer = XypicDiagramDrawer() + assert drawer.draw(d, grid) == "\\xymatrix{\n" \ + "A \\ar[d]^{f} \\ar@/_3mm/[dd]_{h_{2}} & \\\\\n" \ + "B \\ar[r]^{g} & C \\\\\n" \ + "D \\ar[u]_{k} \\ar@/^7mm/[uu]^{h} \\ar@/^11mm/[uu]^{h_{1}} & \n" \ + "}\n" + + # The same diagram, with "loop" morphisms. + l_A = NamedMorphism(A, A, "l_A") + l_D = NamedMorphism(D, D, "l_D") + l_C = NamedMorphism(C, C, "l_C") + d = Diagram([f, g, h, k, h1, h2, l_A, l_D, l_C]) + grid = DiagramGrid(d) + drawer = XypicDiagramDrawer() + assert drawer.draw(d, grid) == "\\xymatrix{\n" \ + "A \\ar[r]_{f} \\ar@/^3mm/[rr]^{h_{2}} \\ar@(u,l)[]^{l_{A}} " \ + "& B \\ar[d]^{g} & D \\ar[l]^{k} \\ar@/_7mm/[ll]_{h} " \ + "\\ar@/_11mm/[ll]_{h_{1}} \\ar@(r,u)[]^{l_{D}} \\\\\n" \ + "& C \\ar@(l,d)[]^{l_{C}} & \n" \ + "}\n" + + # The same diagram with "loop" morphisms, transposed. + grid = DiagramGrid(d, transpose=True) + drawer = XypicDiagramDrawer() + assert drawer.draw(d, grid) == "\\xymatrix{\n" \ + "A \\ar[d]^{f} \\ar@/_3mm/[dd]_{h_{2}} \\ar@(r,u)[]^{l_{A}} & \\\\\n" \ + "B \\ar[r]^{g} & C \\ar@(r,u)[]^{l_{C}} \\\\\n" \ + "D \\ar[u]_{k} \\ar@/^7mm/[uu]^{h} \\ar@/^11mm/[uu]^{h_{1}} " \ + "\\ar@(l,d)[]^{l_{D}} & \n" \ + "}\n" + + # The same diagram with two "loop" morphisms per object. + l_A_ = NamedMorphism(A, A, "n_A") + l_D_ = NamedMorphism(D, D, "n_D") + l_C_ = NamedMorphism(C, C, "n_C") + d = Diagram([f, g, h, k, h1, h2, l_A, l_D, l_C, l_A_, l_D_, l_C_]) + grid = DiagramGrid(d) + drawer = XypicDiagramDrawer() + assert drawer.draw(d, grid) == "\\xymatrix{\n" \ + "A \\ar[r]_{f} \\ar@/^3mm/[rr]^{h_{2}} \\ar@(u,l)[]^{l_{A}} " \ + "\\ar@/^3mm/@(l,d)[]^{n_{A}} & B \\ar[d]^{g} & D \\ar[l]^{k} " \ + "\\ar@/_7mm/[ll]_{h} \\ar@/_11mm/[ll]_{h_{1}} \\ar@(r,u)[]^{l_{D}} " \ + "\\ar@/^3mm/@(d,r)[]^{n_{D}} \\\\\n" \ + "& C \\ar@(l,d)[]^{l_{C}} \\ar@/^3mm/@(d,r)[]^{n_{C}} & \n" \ + "}\n" + + # The same diagram with two "loop" morphisms per object, transposed. + grid = DiagramGrid(d, transpose=True) + drawer = XypicDiagramDrawer() + assert drawer.draw(d, grid) == "\\xymatrix{\n" \ + "A \\ar[d]^{f} \\ar@/_3mm/[dd]_{h_{2}} \\ar@(r,u)[]^{l_{A}} " \ + "\\ar@/^3mm/@(u,l)[]^{n_{A}} & \\\\\n" \ + "B \\ar[r]^{g} & C \\ar@(r,u)[]^{l_{C}} \\ar@/^3mm/@(d,r)[]^{n_{C}} \\\\\n" \ + "D \\ar[u]_{k} \\ar@/^7mm/[uu]^{h} \\ar@/^11mm/[uu]^{h_{1}} " \ + "\\ar@(l,d)[]^{l_{D}} \\ar@/^3mm/@(d,r)[]^{n_{D}} & \n" \ + "}\n" + + +def test_xypic_draw_diagram(): 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--git a/tool_server/.venv/lib/python3.12/site-packages/sympy/codegen/tests/test_algorithms.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/codegen/tests/test_algorithms.py new file mode 100644 index 0000000000000000000000000000000000000000..c684229ec18a1e02a97eee6db8537b8d12af0582 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/codegen/tests/test_algorithms.py @@ -0,0 +1,180 @@ +import tempfile +from sympy import log, Min, Max, sqrt +from sympy.core.numbers import Float +from sympy.core.symbol import Symbol, symbols +from sympy.functions.elementary.trigonometric import cos +from sympy.codegen.ast import Assignment, Raise, RuntimeError_, QuotedString +from sympy.codegen.algorithms import newtons_method, newtons_method_function +from sympy.codegen.cfunctions import expm1 +from sympy.codegen.fnodes import bind_C +from sympy.codegen.futils import render_as_module as f_module +from sympy.codegen.pyutils import render_as_module as py_module +from sympy.external import import_module +from sympy.printing.codeprinter import ccode +from sympy.utilities._compilation import compile_link_import_strings, has_c, has_fortran +from sympy.utilities._compilation.util import may_xfail +from sympy.testing.pytest import skip, raises, skip_under_pyodide + +cython = import_module('cython') +wurlitzer = import_module('wurlitzer') + +def test_newtons_method(): + x, dx, atol = symbols('x dx atol') + expr = cos(x) - x**3 + algo = newtons_method(expr, x, atol, dx) + assert algo.has(Assignment(dx, -expr/expr.diff(x))) + + +@may_xfail +def test_newtons_method_function__ccode(): + x = Symbol('x', real=True) + expr = cos(x) - x**3 + func = newtons_method_function(expr, x) + + if not cython: + skip("cython not installed.") + if not has_c(): + skip("No C compiler found.") + + compile_kw = {"std": 'c99'} + with tempfile.TemporaryDirectory() as folder: + mod, info = compile_link_import_strings([ + ('newton.c', ('#include \n' + '#include \n') + ccode(func)), + ('_newton.pyx', ("#cython: language_level={}\n".format("3") + + "cdef extern double newton(double)\n" + "def py_newton(x):\n" + " return newton(x)\n")) + ], build_dir=folder, compile_kwargs=compile_kw) + assert abs(mod.py_newton(0.5) - 0.865474033102) < 1e-12 + + +@may_xfail +def test_newtons_method_function__fcode(): + x = Symbol('x', real=True) + expr = cos(x) - x**3 + func = newtons_method_function(expr, x, attrs=[bind_C(name='newton')]) + + if not cython: + skip("cython not installed.") + if not has_fortran(): + skip("No Fortran compiler found.") + + f_mod = f_module([func], 'mod_newton') + with tempfile.TemporaryDirectory() as folder: + mod, info = compile_link_import_strings([ + ('newton.f90', f_mod), + ('_newton.pyx', ("#cython: language_level={}\n".format("3") + + "cdef extern double newton(double*)\n" + "def py_newton(double x):\n" + " return newton(&x)\n")) + ], build_dir=folder) + assert abs(mod.py_newton(0.5) - 0.865474033102) < 1e-12 + + +def test_newtons_method_function__pycode(): + x = Symbol('x', real=True) + expr = cos(x) - x**3 + func = newtons_method_function(expr, x) + py_mod = py_module(func) + namespace = {} + exec(py_mod, namespace, namespace) + res = eval('newton(0.5)', namespace) + assert abs(res - 0.865474033102) < 1e-12 + + +@may_xfail +@skip_under_pyodide("Emscripten does not support process spawning") +def test_newtons_method_function__ccode_parameters(): + args = x, A, k, p = symbols('x A k p') + expr = A*cos(k*x) - p*x**3 + raises(ValueError, lambda: newtons_method_function(expr, x)) + use_wurlitzer = wurlitzer + + func = newtons_method_function(expr, x, args, debug=use_wurlitzer) + + if not has_c(): + skip("No C compiler found.") + if not cython: + skip("cython not installed.") + + compile_kw = {"std": 'c99'} + with tempfile.TemporaryDirectory() as folder: + mod, info = compile_link_import_strings([ + ('newton_par.c', ('#include \n' + '#include \n') + ccode(func)), + ('_newton_par.pyx', ("#cython: language_level={}\n".format("3") + + "cdef extern double newton(double, double, double, double)\n" + "def py_newton(x, A=1, k=1, p=1):\n" + " return newton(x, A, k, p)\n")) + ], compile_kwargs=compile_kw, build_dir=folder) + + if use_wurlitzer: + with wurlitzer.pipes() as (out, err): + result = mod.py_newton(0.5) + else: + result = mod.py_newton(0.5) + + assert abs(result - 0.865474033102) < 1e-12 + + if not use_wurlitzer: + skip("C-level output only tested when package 'wurlitzer' is available.") + + out, err = out.read(), err.read() + assert err == '' + assert out == """\ +x= 0.5 +x= 1.1121 d_x= 0.61214 +x= 0.90967 d_x= -0.20247 +x= 0.86726 d_x= -0.042409 +x= 0.86548 d_x= -0.0017867 +x= 0.86547 d_x= -3.1022e-06 +x= 0.86547 d_x= -9.3421e-12 +x= 0.86547 d_x= 3.6902e-17 +""" # try to run tests with LC_ALL=C if this assertion fails + + +def test_newtons_method_function__rtol_cse_nan(): + a, b, c, N_geo, N_tot = symbols('a b c N_geo N_tot', real=True, nonnegative=True) + i = Symbol('i', integer=True, nonnegative=True) + N_ari = N_tot - N_geo - 1 + delta_ari = (c-b)/N_ari + ln_delta_geo = log(b) + log(-expm1((log(a)-log(b))/N_geo)) + eqb_log = ln_delta_geo - log(delta_ari) + + def _clamp(low, expr, high): + return Min(Max(low, expr), high) + + meth_kw = { + 'clamped_newton': {'delta_fn': lambda e, x: _clamp( + (sqrt(a*x)-x)*0.99, + -e/e.diff(x), + (sqrt(c*x)-x)*0.99 + )}, + 'halley': {'delta_fn': lambda e, x: (-2*(e*e.diff(x))/(2*e.diff(x)**2 - e*e.diff(x, 2)))}, + 'halley_alt': {'delta_fn': lambda e, x: (-e/e.diff(x)/(1-e/e.diff(x)*e.diff(x,2)/2/e.diff(x)))}, + } + args = eqb_log, b + for use_cse in [False, True]: + kwargs = { + 'params': (b, a, c, N_geo, N_tot), 'itermax': 60, 'debug': True, 'cse': use_cse, + 'counter': i, 'atol': 1e-100, 'rtol': 2e-16, 'bounds': (a,c), + 'handle_nan': Raise(RuntimeError_(QuotedString("encountered NaN."))) + } + func = {k: newtons_method_function(*args, func_name=f"{k}_b", **dict(kwargs, **kw)) for k, kw in meth_kw.items()} + py_mod = {k: py_module(v) for k, v in func.items()} + namespace = {} + root_find_b = {} + for k, v in py_mod.items(): + ns = namespace[k] = {} + exec(v, ns, ns) + root_find_b[k] = ns[f'{k}_b'] + ref = Float('13.2261515064168768938151923226496') + reftol = {'clamped_newton': 2e-16, 'halley': 2e-16, 'halley_alt': 3e-16} + guess = 4.0 + for meth, func in root_find_b.items(): + result = func(guess, 1e-2, 1e2, 50, 100) + req = ref*reftol[meth] + if use_cse: + req *= 2 + assert abs(result - ref) < req diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/codegen/tests/test_applications.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/codegen/tests/test_applications.py new file mode 100644 index 0000000000000000000000000000000000000000..9519c06b96042b383314ef928d2ad0c1a2f92650 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/codegen/tests/test_applications.py @@ -0,0 +1,58 @@ +# This file contains tests that exercise multiple AST nodes + +import tempfile + +from sympy.external import import_module +from sympy.printing.codeprinter import ccode +from sympy.utilities._compilation import compile_link_import_strings, has_c +from sympy.utilities._compilation.util import may_xfail +from sympy.testing.pytest import skip, skip_under_pyodide +from sympy.codegen.ast import ( + FunctionDefinition, FunctionPrototype, Variable, Pointer, real, Assignment, + integer, CodeBlock, While +) +from sympy.codegen.cnodes import void, PreIncrement +from sympy.codegen.cutils import render_as_source_file + +cython = import_module('cython') +np = import_module('numpy') + +def _mk_func1(): + declars = n, inp, out = Variable('n', integer), Pointer('inp', real), Pointer('out', real) + i = Variable('i', integer) + whl = While(i2, lambda p: p.base-p.exp) + assert m == [x**2, y-3, z-4] diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/codegen/tests/test_pyutils.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/codegen/tests/test_pyutils.py new file mode 100644 index 0000000000000000000000000000000000000000..0a2f0ff358f333635c8d44195a5c39d63ac8f16f --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/codegen/tests/test_pyutils.py @@ -0,0 +1,7 @@ +from sympy.codegen.ast import Print +from sympy.codegen.pyutils import render_as_module + +def test_standard(): + ast = Print('x y'.split(), r"coordinate: %12.5g %12.5g\n") + assert render_as_module(ast, standard='python3') == \ + '\n\nprint("coordinate: %12.5g %12.5g\\n" % (x, y), end="")' diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/codegen/tests/test_rewriting.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/codegen/tests/test_rewriting.py new file mode 100644 index 0000000000000000000000000000000000000000..51e0c9ecc940f60186cc04d4bf15650281d31cd8 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/codegen/tests/test_rewriting.py @@ -0,0 +1,479 @@ +import tempfile +from sympy.core.numbers import pi, Rational +from sympy.core.power import Pow +from sympy.core.singleton import S +from sympy.core.symbol import Symbol +from sympy.functions.elementary.complexes import Abs +from sympy.functions.elementary.exponential import (exp, log) +from sympy.functions.elementary.trigonometric import (cos, sin, sinc) +from sympy.matrices.expressions.matexpr import MatrixSymbol +from sympy.assumptions import assuming, Q +from sympy.external import import_module +from sympy.printing.codeprinter import ccode +from sympy.codegen.matrix_nodes import MatrixSolve +from sympy.codegen.cfunctions import log2, exp2, expm1, log1p +from sympy.codegen.numpy_nodes import logaddexp, logaddexp2 +from sympy.codegen.scipy_nodes import cosm1, powm1 +from sympy.codegen.rewriting import ( + optimize, cosm1_opt, log2_opt, exp2_opt, expm1_opt, log1p_opt, powm1_opt, optims_c99, + create_expand_pow_optimization, matinv_opt, logaddexp_opt, logaddexp2_opt, + optims_numpy, optims_scipy, sinc_opts, FuncMinusOneOptim +) +from sympy.testing.pytest import XFAIL, skip +from sympy.utilities import lambdify +from sympy.utilities._compilation import compile_link_import_strings, has_c +from sympy.utilities._compilation.util import may_xfail + +cython = import_module('cython') +numpy = import_module('numpy') +scipy = import_module('scipy') + + +def test_log2_opt(): + x = Symbol('x') + expr1 = 7*log(3*x + 5)/(log(2)) + opt1 = optimize(expr1, [log2_opt]) + assert opt1 == 7*log2(3*x + 5) + assert opt1.rewrite(log) == expr1 + + expr2 = 3*log(5*x + 7)/(13*log(2)) + opt2 = optimize(expr2, [log2_opt]) + assert opt2 == 3*log2(5*x + 7)/13 + assert opt2.rewrite(log) == expr2 + + expr3 = log(x)/log(2) + opt3 = optimize(expr3, [log2_opt]) + assert opt3 == log2(x) + assert opt3.rewrite(log) == expr3 + + expr4 = log(x)/log(2) + log(x+1) + opt4 = optimize(expr4, [log2_opt]) + assert opt4 == log2(x) + log(2)*log2(x+1) + assert opt4.rewrite(log) == expr4 + + expr5 = log(17) + opt5 = optimize(expr5, [log2_opt]) + assert opt5 == expr5 + + expr6 = log(x + 3)/log(2) + opt6 = optimize(expr6, [log2_opt]) + assert str(opt6) == 'log2(x + 3)' + assert opt6.rewrite(log) == expr6 + + +def test_exp2_opt(): + x = Symbol('x') + expr1 = 1 + 2**x + opt1 = optimize(expr1, [exp2_opt]) + assert opt1 == 1 + exp2(x) + assert opt1.rewrite(Pow) == expr1 + + expr2 = 1 + 3**x + assert expr2 == optimize(expr2, [exp2_opt]) + + +def test_expm1_opt(): + x = Symbol('x') + + expr1 = exp(x) - 1 + opt1 = optimize(expr1, [expm1_opt]) + assert expm1(x) - opt1 == 0 + assert opt1.rewrite(exp) == expr1 + + expr2 = 3*exp(x) - 3 + opt2 = optimize(expr2, [expm1_opt]) + assert 3*expm1(x) == opt2 + assert opt2.rewrite(exp) == expr2 + + expr3 = 3*exp(x) - 5 + opt3 = optimize(expr3, [expm1_opt]) + assert 3*expm1(x) - 2 == opt3 + assert opt3.rewrite(exp) == expr3 + expm1_opt_non_opportunistic = FuncMinusOneOptim(exp, expm1, opportunistic=False) + assert expr3 == optimize(expr3, [expm1_opt_non_opportunistic]) + assert opt1 == optimize(expr1, [expm1_opt_non_opportunistic]) + assert opt2 == optimize(expr2, [expm1_opt_non_opportunistic]) + + expr4 = 3*exp(x) + log(x) - 3 + opt4 = optimize(expr4, [expm1_opt]) + assert 3*expm1(x) + log(x) == opt4 + assert opt4.rewrite(exp) == expr4 + + expr5 = 3*exp(2*x) - 3 + opt5 = optimize(expr5, [expm1_opt]) + assert 3*expm1(2*x) == opt5 + assert opt5.rewrite(exp) == expr5 + + expr6 = (2*exp(x) + 1)/(exp(x) + 1) + 1 + opt6 = optimize(expr6, [expm1_opt]) + assert opt6.count_ops() <= expr6.count_ops() + + def ev(e): + return e.subs(x, 3).evalf() + assert abs(ev(expr6) - ev(opt6)) < 1e-15 + + y = Symbol('y') + expr7 = (2*exp(x) - 1)/(1 - exp(y)) - 1/(1-exp(y)) + opt7 = optimize(expr7, [expm1_opt]) + assert -2*expm1(x)/expm1(y) == opt7 + assert (opt7.rewrite(exp) - expr7).factor() == 0 + + expr8 = (1+exp(x))**2 - 4 + opt8 = optimize(expr8, [expm1_opt]) + tgt8a = (exp(x) + 3)*expm1(x) + tgt8b = 2*expm1(x) + expm1(2*x) + # Both tgt8a & tgt8b seem to give full precision (~16 digits for double) + # for x=1e-7 (compare with expr8 which only achieves ~8 significant digits). + # If we can show that either tgt8a or tgt8b is preferable, we can + # change this test to ensure the preferable version is returned. + assert (tgt8a - tgt8b).rewrite(exp).factor() == 0 + assert opt8 in (tgt8a, tgt8b) + assert (opt8.rewrite(exp) - expr8).factor() == 0 + + expr9 = sin(expr8) + opt9 = optimize(expr9, [expm1_opt]) + tgt9a = sin(tgt8a) + tgt9b = sin(tgt8b) + assert opt9 in (tgt9a, tgt9b) + assert (opt9.rewrite(exp) - expr9.rewrite(exp)).factor().is_zero + + +def test_expm1_two_exp_terms(): + x, y = map(Symbol, 'x y'.split()) + expr1 = exp(x) + exp(y) - 2 + opt1 = optimize(expr1, [expm1_opt]) + assert opt1 == expm1(x) + expm1(y) + + +def test_cosm1_opt(): + x = Symbol('x') + + expr1 = cos(x) - 1 + opt1 = optimize(expr1, [cosm1_opt]) + assert cosm1(x) - opt1 == 0 + assert opt1.rewrite(cos) == expr1 + + expr2 = 3*cos(x) - 3 + opt2 = optimize(expr2, [cosm1_opt]) + assert 3*cosm1(x) == opt2 + assert opt2.rewrite(cos) == expr2 + + expr3 = 3*cos(x) - 5 + opt3 = optimize(expr3, [cosm1_opt]) + assert 3*cosm1(x) - 2 == opt3 + assert opt3.rewrite(cos) == expr3 + cosm1_opt_non_opportunistic = FuncMinusOneOptim(cos, cosm1, opportunistic=False) + assert expr3 == optimize(expr3, [cosm1_opt_non_opportunistic]) + assert opt1 == optimize(expr1, [cosm1_opt_non_opportunistic]) + assert opt2 == optimize(expr2, [cosm1_opt_non_opportunistic]) + + expr4 = 3*cos(x) + log(x) - 3 + opt4 = optimize(expr4, [cosm1_opt]) + assert 3*cosm1(x) + log(x) == opt4 + assert opt4.rewrite(cos) == expr4 + + expr5 = 3*cos(2*x) - 3 + opt5 = optimize(expr5, [cosm1_opt]) + assert 3*cosm1(2*x) == opt5 + assert opt5.rewrite(cos) == expr5 + + expr6 = 2 - 2*cos(x) + opt6 = optimize(expr6, [cosm1_opt]) + assert -2*cosm1(x) == opt6 + assert opt6.rewrite(cos) == expr6 + + +def test_cosm1_two_cos_terms(): + x, y = map(Symbol, 'x y'.split()) + expr1 = cos(x) + cos(y) - 2 + opt1 = optimize(expr1, [cosm1_opt]) + assert opt1 == cosm1(x) + cosm1(y) + + +def test_expm1_cosm1_mixed(): + x = Symbol('x') + expr1 = exp(x) + cos(x) - 2 + opt1 = optimize(expr1, [expm1_opt, cosm1_opt]) + assert opt1 == cosm1(x) + expm1(x) + + +def _check_num_lambdify(expr, opt, val_subs, approx_ref, lambdify_kw=None, poorness=1e10): + """ poorness=1e10 signifies that `expr` loses precision of at least ten decimal digits. """ + num_ref = expr.subs(val_subs).evalf() + eps = numpy.finfo(numpy.float64).eps + assert abs(num_ref - approx_ref) < approx_ref*eps + f1 = lambdify(list(val_subs.keys()), opt, **(lambdify_kw or {})) + args_float = tuple(map(float, val_subs.values())) + num_err1 = abs(f1(*args_float) - approx_ref) + assert num_err1 < abs(num_ref*eps) + f2 = lambdify(list(val_subs.keys()), expr, **(lambdify_kw or {})) + num_err2 = abs(f2(*args_float) - approx_ref) + assert num_err2 > abs(num_ref*eps*poorness) # this only ensures that the *test* works as intended + + +def test_cosm1_apart(): + x = Symbol('x') + + expr1 = 1/cos(x) - 1 + opt1 = optimize(expr1, [cosm1_opt]) + assert opt1 == -cosm1(x)/cos(x) + if scipy: + _check_num_lambdify(expr1, opt1, {x: S(10)**-30}, 5e-61, lambdify_kw={"modules": 'scipy'}) + + expr2 = 2/cos(x) - 2 + opt2 = optimize(expr2, optims_scipy) + assert opt2 == -2*cosm1(x)/cos(x) + if scipy: + _check_num_lambdify(expr2, opt2, {x: S(10)**-30}, 1e-60, lambdify_kw={"modules": 'scipy'}) + + expr3 = pi/cos(3*x) - pi + opt3 = optimize(expr3, [cosm1_opt]) + assert opt3 == -pi*cosm1(3*x)/cos(3*x) + if scipy: + _check_num_lambdify(expr3, opt3, {x: S(10)**-30/3}, float(5e-61*pi), lambdify_kw={"modules": 'scipy'}) + + +def test_powm1(): + args = x, y = map(Symbol, "xy") + + expr1 = x**y - 1 + opt1 = optimize(expr1, [powm1_opt]) + assert opt1 == powm1(x, y) + for arg in args: + assert expr1.diff(arg) == opt1.diff(arg) + if scipy and tuple(map(int, scipy.version.version.split('.')[:3])) >= (1, 10, 0): + subs1_a = {x: Rational(*(1.0+1e-13).as_integer_ratio()), y: pi} + ref1_f64_a = 3.139081648208105e-13 + _check_num_lambdify(expr1, opt1, subs1_a, ref1_f64_a, lambdify_kw={"modules": 'scipy'}, poorness=10**11) + + subs1_b = {x: pi, y: Rational(*(1e-10).as_integer_ratio())} + ref1_f64_b = 1.1447298859149205e-10 + _check_num_lambdify(expr1, opt1, subs1_b, ref1_f64_b, lambdify_kw={"modules": 'scipy'}, poorness=10**9) + + +def test_log1p_opt(): + x = Symbol('x') + expr1 = log(x + 1) + opt1 = optimize(expr1, [log1p_opt]) + assert log1p(x) - opt1 == 0 + assert opt1.rewrite(log) == expr1 + + expr2 = log(3*x + 3) + opt2 = optimize(expr2, [log1p_opt]) + assert log1p(x) + log(3) == opt2 + assert (opt2.rewrite(log) - expr2).simplify() == 0 + + expr3 = log(2*x + 1) + opt3 = optimize(expr3, [log1p_opt]) + assert log1p(2*x) - opt3 == 0 + assert opt3.rewrite(log) == expr3 + + expr4 = log(x+3) + opt4 = optimize(expr4, [log1p_opt]) + assert str(opt4) == 'log(x + 3)' + + +def test_optims_c99(): + x = Symbol('x') + + expr1 = 2**x + log(x)/log(2) + log(x + 1) + exp(x) - 1 + opt1 = optimize(expr1, optims_c99).simplify() + assert opt1 == exp2(x) + log2(x) + log1p(x) + expm1(x) + assert opt1.rewrite(exp).rewrite(log).rewrite(Pow) == expr1 + + expr2 = log(x)/log(2) + log(x + 1) + opt2 = optimize(expr2, optims_c99) + assert opt2 == log2(x) + log1p(x) + assert opt2.rewrite(log) == expr2 + + expr3 = log(x)/log(2) + log(17*x + 17) + opt3 = optimize(expr3, optims_c99) + delta3 = opt3 - (log2(x) + log(17) + log1p(x)) + assert delta3 == 0 + assert (opt3.rewrite(log) - expr3).simplify() == 0 + + expr4 = 2**x + 3*log(5*x + 7)/(13*log(2)) + 11*exp(x) - 11 + log(17*x + 17) + opt4 = optimize(expr4, optims_c99).simplify() + delta4 = opt4 - (exp2(x) + 3*log2(5*x + 7)/13 + 11*expm1(x) + log(17) + log1p(x)) + assert delta4 == 0 + assert (opt4.rewrite(exp).rewrite(log).rewrite(Pow) - expr4).simplify() == 0 + + expr5 = 3*exp(2*x) - 3 + opt5 = optimize(expr5, optims_c99) + delta5 = opt5 - 3*expm1(2*x) + assert delta5 == 0 + assert opt5.rewrite(exp) == expr5 + + expr6 = exp(2*x) - 3 + opt6 = optimize(expr6, optims_c99) + assert opt6 in (expm1(2*x) - 2, expr6) # expm1(2*x) - 2 is not better or worse + + expr7 = log(3*x + 3) + opt7 = optimize(expr7, optims_c99) + delta7 = opt7 - (log(3) + log1p(x)) + assert delta7 == 0 + assert (opt7.rewrite(log) - expr7).simplify() == 0 + + expr8 = log(2*x + 3) + opt8 = optimize(expr8, optims_c99) + assert opt8 == expr8 + + +def test_create_expand_pow_optimization(): + cc = lambda x: ccode( + optimize(x, [create_expand_pow_optimization(4)])) + x = Symbol('x') + assert cc(x**4) == 'x*x*x*x' + assert cc(x**4 + x**2) == 'x*x + x*x*x*x' + assert cc(x**5 + x**4) == 'pow(x, 5) + x*x*x*x' + assert cc(sin(x)**4) == 'pow(sin(x), 4)' + # gh issue 15335 + assert cc(x**(-4)) == '1.0/(x*x*x*x)' + assert cc(x**(-5)) == 'pow(x, -5)' + assert cc(-x**4) == '-(x*x*x*x)' + assert cc(x**4 - x**2) == '-(x*x) + x*x*x*x' + i = Symbol('i', integer=True) + assert cc(x**i - x**2) == 'pow(x, i) - (x*x)' + y = Symbol('y', real=True) + assert cc(Abs(exp(y**4))) == "exp(y*y*y*y)" + + # gh issue 20753 + cc2 = lambda x: ccode(optimize(x, [create_expand_pow_optimization( + 4, base_req=lambda b: b.is_Function)])) + assert cc2(x**3 + sin(x)**3) == "pow(x, 3) + sin(x)*sin(x)*sin(x)" + + +def test_matsolve(): + n = Symbol('n', integer=True) + A = MatrixSymbol('A', n, n) + x = MatrixSymbol('x', n, 1) + + with assuming(Q.fullrank(A)): + assert optimize(A**(-1) * x, [matinv_opt]) == MatrixSolve(A, x) + assert optimize(A**(-1) * x + x, [matinv_opt]) == MatrixSolve(A, x) + x + + +def test_logaddexp_opt(): + x, y = map(Symbol, 'x y'.split()) + expr1 = log(exp(x) + exp(y)) + opt1 = optimize(expr1, [logaddexp_opt]) + assert logaddexp(x, y) - opt1 == 0 + assert logaddexp(y, x) - opt1 == 0 + assert opt1.rewrite(log) == expr1 + + +def test_logaddexp2_opt(): + x, y = map(Symbol, 'x y'.split()) + expr1 = log(2**x + 2**y)/log(2) + opt1 = optimize(expr1, [logaddexp2_opt]) + assert logaddexp2(x, y) - opt1 == 0 + assert logaddexp2(y, x) - opt1 == 0 + assert opt1.rewrite(log) == expr1 + + +def test_sinc_opts(): + def check(d): + for k, v in d.items(): + assert optimize(k, sinc_opts) == v + + x = Symbol('x') + check({ + sin(x)/x : sinc(x), + sin(2*x)/(2*x) : sinc(2*x), + sin(3*x)/x : 3*sinc(3*x), + x*sin(x) : x*sin(x) + }) + + y = Symbol('y') + check({ + sin(x*y)/(x*y) : sinc(x*y), + y*sin(x/y)/x : sinc(x/y), + sin(sin(x))/sin(x) : sinc(sin(x)), + sin(3*sin(x))/sin(x) : 3*sinc(3*sin(x)), + sin(x)/y : sin(x)/y + }) + + +def test_optims_numpy(): + def check(d): + for k, v in d.items(): + assert optimize(k, optims_numpy) == v + + x = Symbol('x') + check({ + sin(2*x)/(2*x) + exp(2*x) - 1: sinc(2*x) + expm1(2*x), + log(x+3)/log(2) + log(x**2 + 1): log1p(x**2) + log2(x+3) + }) + + +@XFAIL # room for improvement, ideally this test case should pass. +def test_optims_numpy_TODO(): + def check(d): + for k, v in d.items(): + assert optimize(k, optims_numpy) == v + + x, y = map(Symbol, 'x y'.split()) + check({ + log(x*y)*sin(x*y)*log(x*y+1)/(log(2)*x*y): log2(x*y)*sinc(x*y)*log1p(x*y), + exp(x*sin(y)/y) - 1: expm1(x*sinc(y)) + }) + + +@may_xfail +def test_compiled_ccode_with_rewriting(): + if not cython: + skip("cython not installed.") + if not has_c(): + skip("No C compiler found.") + + x = Symbol('x') + about_two = 2**(58/S(117))*3**(97/S(117))*5**(4/S(39))*7**(92/S(117))/S(30)*pi + # about_two: 1.999999999999581826 + unchanged = 2*exp(x) - about_two + xval = S(10)**-11 + ref = unchanged.subs(x, xval).n(19) # 2.0418173913673213e-11 + + rewritten = optimize(2*exp(x) - about_two, [expm1_opt]) + + # Unfortunately, we need to call ``.n()`` on our expressions before we hand them + # to ``ccode``, and we need to request a large number of significant digits. + # In this test, results converged for double precision when the following number + # of significant digits were chosen: + NUMBER_OF_DIGITS = 25 # TODO: this should ideally be automatically handled. + + func_c = ''' +#include + +double func_unchanged(double x) { + return %(unchanged)s; +} +double func_rewritten(double x) { + return %(rewritten)s; +} +''' % {"unchanged": ccode(unchanged.n(NUMBER_OF_DIGITS)), + "rewritten": ccode(rewritten.n(NUMBER_OF_DIGITS))} + + func_pyx = ''' +#cython: language_level=3 +cdef extern double func_unchanged(double) +cdef extern double func_rewritten(double) +def py_unchanged(x): + return func_unchanged(x) +def py_rewritten(x): + return func_rewritten(x) +''' + with tempfile.TemporaryDirectory() as folder: + mod, info = compile_link_import_strings( + [('func.c', func_c), ('_func.pyx', func_pyx)], + build_dir=folder, compile_kwargs={"std": 'c99'} + ) + err_rewritten = abs(mod.py_rewritten(1e-11) - ref) + err_unchanged = abs(mod.py_unchanged(1e-11) - ref) + assert 1e-27 < err_rewritten < 1e-25 # highly accurate. + assert 1e-19 < err_unchanged < 1e-16 # quite poor. + + # Tolerances used above were determined as follows: + # >>> no_opt = unchanged.subs(x, xval.evalf()).evalf() + # >>> with_opt = rewritten.n(25).subs(x, 1e-11).evalf() + # >>> with_opt - ref, no_opt - ref + # (1.1536301877952077e-26, 1.6547074214222335e-18) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/codegen/tests/test_scipy_nodes.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/codegen/tests/test_scipy_nodes.py new file mode 100644 index 0000000000000000000000000000000000000000..c0d1461037eec81ade0c99b18fbbf5a4517ce0b7 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/codegen/tests/test_scipy_nodes.py @@ -0,0 +1,44 @@ +from itertools import product +from sympy.core.power import Pow +from sympy.core.symbol import symbols +from sympy.functions.elementary.exponential import exp, log +from sympy.functions.elementary.trigonometric import cos +from sympy.core.numbers import pi +from sympy.codegen.scipy_nodes import cosm1, powm1 + +x, y, z = symbols('x y z') + + +def test_cosm1(): + cm1_xy = cosm1(x*y) + ref_xy = cos(x*y) - 1 + for wrt, deriv_order in product([x, y, z], range(3)): + assert ( + cm1_xy.diff(wrt, deriv_order) - + ref_xy.diff(wrt, deriv_order) + ).rewrite(cos).simplify() == 0 + + expr_minus2 = cosm1(pi) + assert expr_minus2.rewrite(cos) == -2 + assert cosm1(3.14).simplify() == cosm1(3.14) # cannot simplify with 3.14 + assert cosm1(pi/2).simplify() == -1 + assert (1/cos(x) - 1 + 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b/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_coset_table.py @@ -0,0 +1,825 @@ +from sympy.combinatorics.fp_groups import FpGroup +from sympy.combinatorics.coset_table import (CosetTable, + coset_enumeration_r, coset_enumeration_c) +from sympy.combinatorics.coset_table import modified_coset_enumeration_r +from sympy.combinatorics.free_groups import free_group + +from sympy.testing.pytest import slow + +""" +References +========== + +[1] Holt, D., Eick, B., O'Brien, E. +"Handbook of Computational Group Theory" + +[2] John J. Cannon; Lucien A. Dimino; George Havas; Jane M. Watson +Mathematics of Computation, Vol. 27, No. 123. (Jul., 1973), pp. 463-490. +"Implementation and Analysis of the Todd-Coxeter Algorithm" + +""" + +def test_scan_1(): + # Example 5.1 from [1] + F, x, y = free_group("x, y") + f = FpGroup(F, [x**3, y**3, x**-1*y**-1*x*y]) + c = CosetTable(f, [x]) + + c.scan_and_fill(0, x) + assert c.table == [[0, 0, None, None]] + assert c.p == [0] + assert c.n == 1 + assert c.omega == [0] + + c.scan_and_fill(0, x**3) + assert c.table == [[0, 0, None, None]] + assert c.p == [0] + assert c.n == 1 + assert c.omega == [0] + + c.scan_and_fill(0, y**3) + assert c.table == [[0, 0, 1, 2], [None, None, 2, 0], [None, None, 0, 1]] + assert c.p == [0, 1, 2] + assert c.n == 3 + assert c.omega == [0, 1, 2] + + c.scan_and_fill(0, x**-1*y**-1*x*y) + assert c.table == [[0, 0, 1, 2], [None, None, 2, 0], [2, 2, 0, 1]] + assert c.p == [0, 1, 2] + assert c.n == 3 + assert c.omega == [0, 1, 2] + + c.scan_and_fill(1, x**3) + assert c.table == [[0, 0, 1, 2], [3, 4, 2, 0], [2, 2, 0, 1], \ + [4, 1, None, None], [1, 3, None, None]] + assert c.p == [0, 1, 2, 3, 4] + assert c.n == 5 + assert c.omega == [0, 1, 2, 3, 4] + + c.scan_and_fill(1, y**3) + assert c.table == [[0, 0, 1, 2], [3, 4, 2, 0], [2, 2, 0, 1], \ + [4, 1, None, None], [1, 3, None, None]] + assert c.p == [0, 1, 2, 3, 4] + assert c.n == 5 + assert c.omega == [0, 1, 2, 3, 4] + + c.scan_and_fill(1, x**-1*y**-1*x*y) + assert c.table == [[0, 0, 1, 2], [1, 1, 2, 0], [2, 2, 0, 1], \ + [None, 1, None, None], [1, 3, None, None]] + assert c.p == [0, 1, 2, 1, 1] + assert c.n == 3 + assert c.omega == [0, 1, 2] + + # Example 5.2 from [1] + f = FpGroup(F, [x**2, y**3, (x*y)**3]) + c = CosetTable(f, [x*y]) + + c.scan_and_fill(0, x*y) + assert c.table == [[1, None, None, 1], [None, 0, 0, None]] + assert c.p == [0, 1] + assert c.n == 2 + assert c.omega == [0, 1] + + c.scan_and_fill(0, x**2) + assert c.table == [[1, 1, None, 1], [0, 0, 0, None]] + assert c.p == [0, 1] + assert c.n == 2 + assert c.omega == [0, 1] + + c.scan_and_fill(0, y**3) + assert c.table == [[1, 1, 2, 1], [0, 0, 0, 2], [None, None, 1, 0]] + assert c.p == [0, 1, 2] + assert c.n == 3 + assert c.omega == [0, 1, 2] + + c.scan_and_fill(0, (x*y)**3) + assert c.table == [[1, 1, 2, 1], [0, 0, 0, 2], [None, None, 1, 0]] + assert c.p == [0, 1, 2] + assert c.n == 3 + assert c.omega == [0, 1, 2] + + c.scan_and_fill(1, x**2) + assert c.table == [[1, 1, 2, 1], [0, 0, 0, 2], [None, None, 1, 0]] + assert c.p == [0, 1, 2] + assert c.n == 3 + assert c.omega == [0, 1, 2] + + c.scan_and_fill(1, y**3) + assert c.table == [[1, 1, 2, 1], [0, 0, 0, 2], [None, None, 1, 0]] + assert c.p == [0, 1, 2] + assert c.n == 3 + assert c.omega == [0, 1, 2] + + c.scan_and_fill(1, (x*y)**3) + assert c.table == [[1, 1, 2, 1], [0, 0, 0, 2], [3, 4, 1, 0], [None, 2, 4, None], [2, None, None, 3]] + assert c.p == [0, 1, 2, 3, 4] + assert c.n == 5 + assert c.omega == [0, 1, 2, 3, 4] + + c.scan_and_fill(2, x**2) + assert c.table == [[1, 1, 2, 1], [0, 0, 0, 2], [3, 3, 1, 0], [2, 2, 3, 3], [2, None, None, 3]] + assert c.p == [0, 1, 2, 3, 3] + assert c.n == 4 + assert c.omega == [0, 1, 2, 3] + + +@slow +def test_coset_enumeration(): + # this test function contains the combined tests for the two strategies + # i.e. HLT and Felsch strategies. + + # Example 5.1 from [1] + F, x, y = free_group("x, y") + f = FpGroup(F, [x**3, y**3, x**-1*y**-1*x*y]) + C_r = coset_enumeration_r(f, [x]) + C_r.compress(); C_r.standardize() + C_c = coset_enumeration_c(f, [x]) + C_c.compress(); C_c.standardize() + table1 = [[0, 0, 1, 2], [1, 1, 2, 0], [2, 2, 0, 1]] + assert C_r.table == table1 + assert C_c.table == table1 + + # E1 from [2] Pg. 474 + F, r, s, t = free_group("r, s, t") + E1 = FpGroup(F, [t**-1*r*t*r**-2, r**-1*s*r*s**-2, s**-1*t*s*t**-2]) + C_r = coset_enumeration_r(E1, []) + C_r.compress() + C_c = coset_enumeration_c(E1, []) + C_c.compress() + table2 = [[0, 0, 0, 0, 0, 0]] + assert C_r.table == table2 + # test for issue #11449 + assert C_c.table == table2 + + # Cox group from [2] Pg. 474 + F, a, b = free_group("a, b") + Cox = FpGroup(F, [a**6, b**6, (a*b)**2, (a**2*b**2)**2, (a**3*b**3)**5]) + C_r = coset_enumeration_r(Cox, [a]) + C_r.compress(); C_r.standardize() + C_c = coset_enumeration_c(Cox, [a]) + C_c.compress(); C_c.standardize() + table3 = [[0, 0, 1, 2], + [2, 3, 4, 0], + [5, 1, 0, 6], + [1, 7, 8, 9], + [9, 10, 11, 1], + [12, 2, 9, 13], + [14, 9, 2, 11], + [3, 12, 15, 16], + [16, 17, 18, 3], + [6, 4, 3, 5], + [4, 19, 20, 21], + [21, 22, 6, 4], + [7, 5, 23, 24], + [25, 23, 5, 18], + [19, 6, 22, 26], + [24, 27, 28, 7], + [29, 8, 7, 30], + [8, 31, 32, 33], + [33, 34, 13, 8], + [10, 14, 35, 35], + [35, 36, 37, 10], + [30, 11, 10, 29], + [11, 38, 39, 14], + [13, 39, 38, 12], + [40, 15, 12, 41], + [42, 13, 34, 43], + [44, 35, 14, 45], + [15, 46, 47, 34], + [34, 48, 49, 15], + [50, 16, 21, 51], + [52, 21, 16, 49], + [17, 50, 53, 54], + [54, 55, 56, 17], + [41, 18, 17, 40], + [18, 28, 27, 25], + [26, 20, 19, 19], + [20, 57, 58, 59], + [59, 60, 51, 20], + [22, 52, 61, 23], + [23, 62, 63, 22], + [64, 24, 33, 65], + [48, 33, 24, 61], + [62, 25, 54, 66], + [67, 54, 25, 68], + [57, 26, 59, 69], + [70, 59, 26, 63], + [27, 64, 71, 72], + [72, 73, 68, 27], + [28, 41, 74, 75], + [75, 76, 30, 28], + [31, 29, 77, 78], + [79, 77, 29, 37], + [38, 30, 76, 80], + [78, 81, 82, 31], + [43, 32, 31, 42], + [32, 83, 84, 85], + [85, 86, 65, 32], + [36, 44, 87, 88], + [88, 89, 90, 36], + [45, 37, 36, 44], + [37, 82, 81, 79], + [80, 74, 41, 38], + [39, 42, 91, 92], + [92, 93, 45, 39], + [46, 40, 94, 95], + [96, 94, 40, 56], + [97, 91, 42, 82], + [83, 43, 98, 99], + [100, 98, 43, 47], + [101, 87, 44, 90], + [82, 45, 93, 97], + [95, 102, 103, 46], + [104, 47, 46, 105], + [47, 106, 107, 100], + [61, 108, 109, 48], + [105, 49, 48, 104], + [49, 110, 111, 52], + [51, 111, 110, 50], + [112, 53, 50, 113], + [114, 51, 60, 115], + [116, 61, 52, 117], + [53, 118, 119, 60], + [60, 70, 66, 53], + [55, 67, 120, 121], + [121, 122, 123, 55], + [113, 56, 55, 112], + [56, 103, 102, 96], + [69, 124, 125, 57], + [115, 58, 57, 114], + [58, 126, 127, 128], + [128, 128, 69, 58], + [66, 129, 130, 62], + [117, 63, 62, 116], + [63, 125, 124, 70], + [65, 109, 108, 64], + [131, 71, 64, 132], + [133, 65, 86, 134], + [135, 66, 70, 136], + [68, 130, 129, 67], + [137, 120, 67, 138], + [132, 68, 73, 131], + [139, 69, 128, 140], + [71, 141, 142, 86], + [86, 143, 144, 71], + [145, 72, 75, 146], + [147, 75, 72, 144], + [73, 145, 148, 120], + [120, 149, 150, 73], + [74, 151, 152, 94], + [94, 153, 146, 74], + [76, 147, 154, 77], + [77, 155, 156, 76], + [157, 78, 85, 158], + [143, 85, 78, 154], + [155, 79, 88, 159], + [160, 88, 79, 161], + [151, 80, 92, 162], + [163, 92, 80, 156], + [81, 157, 164, 165], + [165, 166, 161, 81], + [99, 107, 106, 83], + [134, 84, 83, 133], + [84, 167, 168, 169], + [169, 170, 158, 84], + [87, 171, 172, 93], + [93, 163, 159, 87], + [89, 160, 173, 174], + [174, 175, 176, 89], + [90, 90, 89, 101], + [91, 177, 178, 98], + [98, 179, 162, 91], + [180, 95, 100, 181], + [179, 100, 95, 152], + [153, 96, 121, 148], + [182, 121, 96, 183], + [177, 97, 165, 184], + [185, 165, 97, 172], + [186, 99, 169, 187], + [188, 169, 99, 178], + [171, 101, 174, 189], + [190, 174, 101, 176], + [102, 180, 191, 192], + [192, 193, 183, 102], + [103, 113, 194, 195], + [195, 196, 105, 103], + [106, 104, 197, 198], + [199, 197, 104, 109], + [110, 105, 196, 200], + [198, 201, 133, 106], + [107, 186, 202, 203], + [203, 204, 181, 107], + [108, 116, 205, 206], + [206, 207, 132, 108], + [109, 133, 201, 199], + [200, 194, 113, 110], + [111, 114, 208, 209], + [209, 210, 117, 111], + [118, 112, 211, 212], + [213, 211, 112, 123], + [214, 208, 114, 125], + [126, 115, 215, 216], + [217, 215, 115, 119], + [218, 205, 116, 130], + [125, 117, 210, 214], + [212, 219, 220, 118], + [136, 119, 118, 135], + [119, 221, 222, 217], + [122, 182, 223, 224], + [224, 225, 226, 122], + [138, 123, 122, 137], + [123, 220, 219, 213], + [124, 139, 227, 228], + [228, 229, 136, 124], + [216, 222, 221, 126], + [140, 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+ [281, 173, 160, 282], + [276, 161, 166, 275], + [283, 162, 179, 284], + [164, 285, 286, 170], + [170, 188, 184, 164], + [166, 185, 189, 173], + [173, 287, 288, 166], + [241, 254, 253, 167], + [278, 168, 167, 277], + [168, 289, 290, 291], + [291, 292, 187, 168], + [189, 293, 294, 171], + [280, 172, 171, 279], + [172, 295, 296, 185], + [175, 190, 297, 297], + [297, 298, 299, 175], + [282, 176, 175, 281], + [176, 294, 293, 190], + [184, 296, 295, 177], + [284, 178, 177, 283], + [178, 300, 301, 188], + [181, 272, 271, 180], + [302, 191, 180, 303], + [304, 181, 204, 305], + [183, 266, 265, 182], + [306, 223, 182, 307], + [303, 183, 193, 302], + [308, 184, 188, 309], + [310, 189, 185, 311], + [187, 301, 300, 186], + [305, 202, 186, 304], + [312, 187, 292, 313], + [314, 297, 190, 315], + [191, 316, 317, 204], + [204, 318, 319, 191], + [320, 192, 195, 321], + [322, 195, 192, 319], + [193, 320, 323, 223], + [223, 324, 325, 193], + [194, 326, 327, 211], + [211, 328, 321, 194], + [196, 322, 329, 197], + [197, 330, 331, 196], + [332, 198, 203, 333], + [318, 203, 198, 329], + [330, 199, 206, 334], + [335, 206, 199, 336], + [326, 200, 209, 337], + [338, 209, 200, 331], + [201, 332, 339, 240], + [240, 340, 336, 201], + [202, 341, 342, 292], + [292, 343, 333, 202], + [205, 344, 345, 210], + [210, 338, 334, 205], + [207, 335, 346, 237], + [237, 347, 348, 207], + [208, 349, 350, 215], + [215, 351, 337, 208], + [352, 212, 217, 353], + [351, 217, 212, 327], + [328, 213, 224, 323], + [354, 224, 213, 355], + [349, 214, 228, 356], + [357, 228, 214, 345], + [358, 216, 232, 359], + [360, 232, 216, 350], + [344, 218, 235, 361], + [362, 235, 218, 348], + [219, 352, 363, 364], + [364, 365, 355, 219], + [222, 358, 366, 367], + [367, 368, 353, 222], + [225, 354, 369, 370], + [370, 371, 372, 225], + [307, 226, 225, 306], + [226, 268, 267, 247], + [227, 373, 374, 233], + [233, 360, 356, 227], + [229, 357, 361, 234], + [234, 375, 376, 229], + [248, 231, 230, 230], + [231, 377, 378, 379], + [379, 380, 359, 231], + [236, 362, 381, 245], + [245, 382, 383, 236], + [384, 238, 242, 385], + [340, 242, 238, 346], + [347, 239, 246, 381], + [386, 246, 239, 387], + [388, 241, 291, 389], + [343, 291, 241, 339], + [375, 243, 364, 390], + [391, 364, 243, 383], + [373, 244, 367, 392], + [393, 367, 244, 376], + [382, 247, 370, 394], + [395, 370, 247, 396], + [377, 248, 379, 397], + [398, 379, 248, 374], + [249, 384, 399, 400], + [400, 401, 387, 249], + [250, 260, 402, 403], + [403, 404, 252, 250], + [253, 251, 405, 406], + [407, 405, 251, 256], + [257, 252, 404, 408], + [406, 409, 277, 253], + [254, 388, 410, 411], + [411, 412, 385, 254], + [255, 263, 413, 414], + [414, 415, 276, 255], + [256, 277, 409, 407], + [408, 402, 260, 257], + [258, 261, 416, 417], + [417, 418, 264, 258], + [265, 259, 419, 420], + [421, 419, 259, 268], + [422, 416, 261, 270], + [271, 262, 423, 424], + [425, 423, 262, 266], + [426, 413, 263, 274], + [270, 264, 418, 422], + [420, 427, 307, 265], + [266, 303, 428, 425], + [267, 386, 429, 430], + [430, 431, 396, 267], + [268, 307, 427, 421], + [269, 283, 432, 433], + [433, 434, 280, 269], + [424, 428, 303, 271], + [272, 304, 435, 436], + [436, 437, 284, 272], + [273, 279, 438, 439], + [439, 440, 282, 273], + [274, 276, 415, 426], + [285, 275, 441, 442], + [443, 441, 275, 288], + [289, 278, 444, 445], + [446, 444, 278, 286], + [447, 438, 279, 294], + [295, 280, 434, 448], + [287, 281, 449, 450], + [451, 449, 281, 299], + [294, 282, 440, 447], + [448, 432, 283, 295], + [300, 284, 437, 452], + [442, 453, 454, 285], + [309, 286, 285, 308], + [286, 455, 456, 446], + [450, 457, 458, 287], + [311, 288, 287, 310], + [288, 454, 453, 443], + [445, 456, 455, 289], + [313, 290, 289, 312], + [290, 459, 460, 461], + [461, 462, 389, 290], + [293, 310, 463, 464], + [464, 465, 315, 293], + [296, 308, 466, 467], + [467, 468, 311, 296], + [298, 314, 469, 470], + [470, 471, 472, 298], + [315, 299, 298, 314], + [299, 458, 457, 451], + [452, 435, 304, 300], + [301, 312, 473, 474], + [474, 475, 309, 301], + [316, 302, 476, 477], + [478, 476, 302, 325], + [341, 305, 479, 480], + [481, 479, 305, 317], + [324, 306, 482, 483], + [484, 482, 306, 372], + [485, 466, 308, 454], + [455, 309, 475, 486], + [487, 463, 310, 458], + [454, 311, 468, 485], + [486, 473, 312, 455], + [459, 313, 488, 489], + [490, 488, 313, 342], + [491, 469, 314, 472], + [458, 315, 465, 487], + [477, 492, 485, 316], + [463, 317, 316, 468], + [317, 487, 493, 481], + [329, 447, 464, 318], + [468, 319, 318, 463], + [319, 467, 448, 322], + [321, 448, 467, 320], + [475, 323, 320, 466], + [432, 321, 328, 437], + [438, 329, 322, 434], + [323, 474, 452, 328], + [483, 494, 486, 324], + [466, 325, 324, 475], + [325, 485, 492, 478], + [337, 422, 433, 326], + [437, 327, 326, 432], + [327, 436, 424, 351], + [334, 426, 439, 330], + [434, 331, 330, 438], + [331, 433, 422, 338], + [333, 464, 447, 332], + [449, 339, 332, 440], + [465, 333, 343, 469], + [413, 334, 338, 418], + [336, 439, 426, 335], + [441, 346, 335, 415], + [440, 336, 340, 449], + [416, 337, 351, 423], + [339, 451, 470, 343], + [346, 443, 450, 340], + [480, 493, 487, 341], + [469, 342, 341, 465], + [342, 491, 495, 490], + [361, 407, 414, 344], + [418, 345, 344, 413], + [345, 417, 408, 357], + [381, 446, 442, 347], + [415, 348, 347, 441], + [348, 414, 407, 362], + [356, 408, 417, 349], + [423, 350, 349, 416], + [350, 425, 420, 360], + [353, 424, 436, 352], + [479, 363, 352, 435], + [428, 353, 368, 476], + [355, 452, 474, 354], + [488, 369, 354, 473], + [435, 355, 365, 479], + [402, 356, 360, 419], + [405, 361, 357, 404], + [359, 420, 425, 358], + [476, 366, 358, 428], + [427, 359, 380, 482], + [444, 381, 362, 409], + [363, 481, 477, 368], + [368, 393, 390, 363], + [365, 391, 394, 369], + [369, 490, 480, 365], + [366, 478, 483, 380], + [380, 398, 392, 366], + [371, 395, 496, 497], + [497, 498, 489, 371], + [473, 372, 371, 488], + [372, 486, 494, 484], + [392, 400, 403, 373], + [419, 374, 373, 402], + [374, 421, 430, 398], + [390, 411, 406, 375], + [404, 376, 375, 405], + [376, 403, 400, 393], + [397, 430, 421, 377], + [482, 378, 377, 427], + [378, 484, 497, 499], + [499, 499, 397, 378], + [394, 461, 445, 382], + [409, 383, 382, 444], + [383, 406, 411, 391], + [385, 450, 443, 384], + [492, 399, 384, 453], + [457, 385, 412, 493], + [387, 442, 446, 386], + [494, 429, 386, 456], + [453, 387, 401, 492], + [389, 470, 451, 388], + [493, 410, 388, 457], + [471, 389, 462, 495], + [412, 390, 393, 399], + [462, 394, 391, 410], + [401, 392, 398, 429], + [396, 445, 461, 395], + [498, 496, 395, 460], + [456, 396, 431, 494], + [431, 397, 499, 496], + [399, 477, 481, 412], + [429, 483, 478, 401], + [410, 480, 490, 462], + [496, 497, 484, 431], + [489, 495, 491, 459], + [495, 460, 459, 471], + [460, 489, 498, 498], + [472, 472, 471, 491]] + + assert C_r.table == table3 + assert C_c.table == table3 + + # Group denoted by B2,4 from [2] Pg. 474 + F, a, b = free_group("a, b") + B_2_4 = FpGroup(F, [a**4, b**4, (a*b)**4, (a**-1*b)**4, (a**2*b)**4, \ + (a*b**2)**4, (a**2*b**2)**4, (a**-1*b*a*b)**4, (a*b**-1*a*b)**4]) + C_r = coset_enumeration_r(B_2_4, [a]) + C_c = coset_enumeration_c(B_2_4, [a]) + index_r = 0 + for i in range(len(C_r.p)): + if C_r.p[i] == i: + index_r += 1 + assert index_r == 1024 + + index_c = 0 + for i in range(len(C_c.p)): + if C_c.p[i] == i: + index_c += 1 + assert index_c == 1024 + + # trivial Macdonald group G(2,2) from [2] Pg. 480 + M = FpGroup(F, [b**-1*a**-1*b*a*b**-1*a*b*a**-2, a**-1*b**-1*a*b*a**-1*b*a*b**-2]) + C_r = coset_enumeration_r(M, [a]) + C_r.compress(); C_r.standardize() + C_c = coset_enumeration_c(M, [a]) + C_c.compress(); C_c.standardize() + table4 = [[0, 0, 0, 0]] + assert C_r.table == table4 + assert C_c.table == table4 + + +def test_look_ahead(): + # Section 3.2 [Test Example] Example (d) from [2] + F, a, b, c = free_group("a, b, c") + f = FpGroup(F, [a**11, b**5, c**4, (a*c)**3, b**2*c**-1*b**-1*c, a**4*b**-1*a**-1*b]) + H = [c, b, c**2] + table0 = [[1, 2, 0, 0, 0, 0], + [3, 0, 4, 5, 6, 7], + [0, 8, 9, 10, 11, 12], + [5, 1, 10, 13, 14, 15], + [16, 5, 16, 1, 17, 18], + [4, 3, 1, 8, 19, 20], + [12, 21, 22, 23, 24, 1], + [25, 26, 27, 28, 1, 24], + [2, 10, 5, 16, 22, 28], + [10, 13, 13, 2, 29, 30]] + CosetTable.max_stack_size = 10 + C_c = coset_enumeration_c(f, H) + C_c.compress(); C_c.standardize() + assert C_c.table[: 10] == table0 + +def test_modified_methods(): + ''' + Tests for modified coset table methods. + Example 5.7 from [1] Holt, D., Eick, B., O'Brien + "Handbook of Computational Group Theory". + + ''' + F, x, y = free_group("x, y") + f = FpGroup(F, [x**3, y**5, (x*y)**2]) + H = [x*y, x**-1*y**-1*x*y*x] + C = CosetTable(f, H) + C.modified_define(0, x) + identity = C._grp.identity + a_0 = C._grp.generators[0] + a_1 = C._grp.generators[1] + + assert C.P == [[identity, None, None, None], + [None, identity, None, None]] + assert C.table == [[1, None, None, None], + [None, 0, None, None]] + + C.modified_define(1, x) + assert C.table == [[1, None, None, None], + [2, 0, None, None], + [None, 1, None, None]] + assert C.P == [[identity, None, None, None], + [identity, identity, None, None], + [None, identity, None, None]] + + C.modified_scan(0, x**3, C._grp.identity, fill=False) + assert C.P == [[identity, identity, None, None], + [identity, identity, None, None], + [identity, identity, None, None]] + assert C.table == [[1, 2, None, None], + [2, 0, None, None], + [0, 1, None, None]] + + C.modified_scan(0, x*y, C._grp.generators[0], fill=False) + assert C.P == [[identity, identity, None, a_0**-1], + [identity, identity, a_0, None], + [identity, identity, None, None]] + assert C.table == [[1, 2, None, 1], + [2, 0, 0, None], + [0, 1, None, None]] + + C.modified_define(2, y**-1) + assert C.table == [[1, 2, None, 1], + [2, 0, 0, None], + [0, 1, None, 3], + [None, None, 2, None]] + assert C.P == [[identity, identity, None, a_0**-1], + [identity, identity, a_0, None], + [identity, identity, None, identity], + [None, None, identity, None]] + + C.modified_scan(0, x**-1*y**-1*x*y*x, C._grp.generators[1]) + assert C.table == [[1, 2, None, 1], + [2, 0, 0, None], + [0, 1, None, 3], + [3, 3, 2, None]] + assert C.P == [[identity, identity, None, a_0**-1], + [identity, identity, a_0, None], + [identity, identity, None, identity], + [a_1, a_1**-1, identity, None]] + + C.modified_scan(2, (x*y)**2, C._grp.identity) + assert C.table == [[1, 2, 3, 1], + [2, 0, 0, None], + [0, 1, None, 3], + [3, 3, 2, 0]] + assert C.P == [[identity, identity, a_1**-1, a_0**-1], + [identity, identity, a_0, None], + [identity, identity, None, identity], + [a_1, a_1**-1, identity, a_1]] + + C.modified_define(2, y) + assert C.table == [[1, 2, 3, 1], + [2, 0, 0, None], + [0, 1, 4, 3], + [3, 3, 2, 0], + [None, None, None, 2]] + assert C.P == [[identity, identity, a_1**-1, a_0**-1], + [identity, identity, a_0, None], + [identity, identity, identity, identity], + [a_1, a_1**-1, identity, a_1], + [None, None, None, identity]] + + C.modified_scan(0, y**5, C._grp.identity) + assert C.table == [[1, 2, 3, 1], [2, 0, 0, 4], [0, 1, 4, 3], [3, 3, 2, 0], [None, None, 1, 2]] + assert C.P == [[identity, identity, a_1**-1, a_0**-1], + [identity, identity, a_0, a_0*a_1**-1], + [identity, identity, identity, identity], + [a_1, a_1**-1, identity, a_1], + [None, None, a_1*a_0**-1, identity]] + + C.modified_scan(1, (x*y)**2, C._grp.identity) + assert C.table == [[1, 2, 3, 1], + [2, 0, 0, 4], + [0, 1, 4, 3], + [3, 3, 2, 0], + [4, 4, 1, 2]] + assert C.P == [[identity, identity, a_1**-1, a_0**-1], + [identity, identity, a_0, a_0*a_1**-1], + [identity, identity, identity, identity], + [a_1, a_1**-1, identity, a_1], + [a_0*a_1**-1, a_1*a_0**-1, a_1*a_0**-1, identity]] + + # Modified coset enumeration test + f = FpGroup(F, [x**3, y**3, x**-1*y**-1*x*y]) + C = coset_enumeration_r(f, [x]) + C_m = modified_coset_enumeration_r(f, [x]) + assert C_m.table == C.table diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_fp_groups.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_fp_groups.py new file mode 100644 index 0000000000000000000000000000000000000000..3f57bdf8eff92a3022d8e01cd74ce98575987929 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_fp_groups.py @@ -0,0 +1,257 @@ +from sympy.core.singleton import S +from sympy.combinatorics.fp_groups import (FpGroup, low_index_subgroups, + reidemeister_presentation, FpSubgroup, + simplify_presentation) +from sympy.combinatorics.free_groups import (free_group, FreeGroup) + +from sympy.testing.pytest import slow + +""" +References +========== + +[1] Holt, D., Eick, B., O'Brien, E. +"Handbook of Computational Group Theory" + +[2] John J. Cannon; Lucien A. Dimino; George Havas; Jane M. Watson +Mathematics of Computation, Vol. 27, No. 123. (Jul., 1973), pp. 463-490. +"Implementation and Analysis of the Todd-Coxeter Algorithm" + +[3] PROC. SECOND INTERNAT. CONF. THEORY OF GROUPS, CANBERRA 1973, +pp. 347-356. "A Reidemeister-Schreier program" by George Havas. +http://staff.itee.uq.edu.au/havas/1973cdhw.pdf + +""" + +def test_low_index_subgroups(): + F, x, y = free_group("x, y") + + # Example 5.10 from [1] Pg. 194 + f = FpGroup(F, [x**2, y**3, (x*y)**4]) + L = low_index_subgroups(f, 4) + t1 = [[[0, 0, 0, 0]], + [[0, 0, 1, 2], [1, 1, 2, 0], [3, 3, 0, 1], [2, 2, 3, 3]], + [[0, 0, 1, 2], [2, 2, 2, 0], [1, 1, 0, 1]], + [[1, 1, 0, 0], [0, 0, 1, 1]]] + for i in range(len(t1)): + assert L[i].table == t1[i] + + f = FpGroup(F, [x**2, y**3, (x*y)**7]) + L = low_index_subgroups(f, 15) + t2 = [[[0, 0, 0, 0]], + [[0, 0, 1, 2], [1, 1, 2, 0], [3, 3, 0, 1], [2, 2, 4, 5], + [4, 4, 5, 3], [6, 6, 3, 4], [5, 5, 6, 6]], + [[0, 0, 1, 2], [1, 1, 2, 0], [3, 3, 0, 1], [2, 2, 4, 5], + [6, 6, 5, 3], [5, 5, 3, 4], [4, 4, 6, 6]], + [[0, 0, 1, 2], [1, 1, 2, 0], [3, 3, 0, 1], [2, 2, 4, 5], + [6, 6, 5, 3], [7, 7, 3, 4], [4, 4, 8, 9], [5, 5, 10, 11], + [11, 11, 9, 6], [9, 9, 6, 8], [12, 12, 11, 7], [8, 8, 7, 10], + [10, 10, 13, 14], [14, 14, 14, 12], [13, 13, 12, 13]], + [[0, 0, 1, 2], [1, 1, 2, 0], [3, 3, 0, 1], [2, 2, 4, 5], + [6, 6, 5, 3], [7, 7, 3, 4], [4, 4, 8, 9], [5, 5, 10, 11], + [11, 11, 9, 6], [12, 12, 6, 8], [10, 10, 11, 7], [8, 8, 7, 10], + [9, 9, 13, 14], [14, 14, 14, 12], [13, 13, 12, 13]], + [[0, 0, 1, 2], [1, 1, 2, 0], [3, 3, 0, 1], [2, 2, 4, 5], + [6, 6, 5, 3], [7, 7, 3, 4], [4, 4, 8, 9], [5, 5, 10, 11], + [11, 11, 9, 6], [12, 12, 6, 8], [13, 13, 11, 7], [8, 8, 7, 10], + [9, 9, 12, 12], [10, 10, 13, 13]], + [[0, 0, 1, 2], [3, 3, 2, 0], [4, 4, 0, 1], [1, 1, 3, 3], [2, 2, 5, 6] + , [7, 7, 6, 4], [8, 8, 4, 5], [5, 5, 8, 9], [6, 6, 9, 7], + [10, 10, 7, 8], [9, 9, 11, 12], [11, 11, 12, 10], [13, 13, 10, 11], + [12, 12, 13, 13]], + [[0, 0, 1, 2], [3, 3, 2, 0], [4, 4, 0, 1], [1, 1, 3, 3], [2, 2, 5, 6] + , [7, 7, 6, 4], [8, 8, 4, 5], [5, 5, 8, 9], [6, 6, 9, 7], + [10, 10, 7, 8], [9, 9, 11, 12], [13, 13, 12, 10], [12, 12, 10, 11], + [11, 11, 13, 13]], + [[0, 0, 1, 2], [3, 3, 2, 0], [4, 4, 0, 1], [1, 1, 5, 6], [2, 2, 4, 4] + , [7, 7, 6, 3], [8, 8, 3, 5], [5, 5, 8, 9], [6, 6, 9, 7], + [10, 10, 7, 8], [9, 9, 11, 12], [13, 13, 12, 10], [12, 12, 10, 11], + [11, 11, 13, 13]], + [[0, 0, 1, 2], [3, 3, 2, 0], [4, 4, 0, 1], [1, 1, 5, 6], [2, 2, 7, 8] + , [5, 5, 6, 3], [9, 9, 3, 5], [10, 10, 8, 4], [8, 8, 4, 7], + [6, 6, 10, 11], [7, 7, 11, 9], [12, 12, 9, 10], [11, 11, 13, 14], + [14, 14, 14, 12], [13, 13, 12, 13]], + [[0, 0, 1, 2], [3, 3, 2, 0], [4, 4, 0, 1], [1, 1, 5, 6], [2, 2, 7, 8] + , [6, 6, 6, 3], [5, 5, 3, 5], [8, 8, 8, 4], [7, 7, 4, 7]], + [[0, 0, 1, 2], [3, 3, 2, 0], [4, 4, 0, 1], [1, 1, 5, 6], [2, 2, 7, 8] + , [9, 9, 6, 3], [6, 6, 3, 5], [10, 10, 8, 4], [11, 11, 4, 7], + [5, 5, 10, 12], [7, 7, 12, 9], [8, 8, 11, 11], [13, 13, 9, 10], + [12, 12, 13, 13]], + [[0, 0, 1, 2], [3, 3, 2, 0], [4, 4, 0, 1], [1, 1, 5, 6], [2, 2, 7, 8] + , [9, 9, 6, 3], [6, 6, 3, 5], [10, 10, 8, 4], [11, 11, 4, 7], + [5, 5, 12, 11], [7, 7, 10, 10], [8, 8, 9, 12], [13, 13, 11, 9], + [12, 12, 13, 13]], + [[0, 0, 1, 2], [3, 3, 2, 0], [4, 4, 0, 1], [1, 1, 5, 6], [2, 2, 7, 8] + , [9, 9, 6, 3], [10, 10, 3, 5], [7, 7, 8, 4], [11, 11, 4, 7], + [5, 5, 9, 9], [6, 6, 11, 12], [8, 8, 12, 10], [13, 13, 10, 11], + [12, 12, 13, 13]], + [[0, 0, 1, 2], [3, 3, 2, 0], [4, 4, 0, 1], [1, 1, 5, 6], [2, 2, 7, 8] + , [9, 9, 6, 3], [10, 10, 3, 5], [7, 7, 8, 4], [11, 11, 4, 7], + [5, 5, 12, 11], [6, 6, 10, 10], [8, 8, 9, 12], [13, 13, 11, 9], + [12, 12, 13, 13]], + [[0, 0, 1, 2], [3, 3, 2, 0], [4, 4, 0, 1], [1, 1, 5, 6], [2, 2, 7, 8] + , [9, 9, 6, 3], [10, 10, 3, 5], [11, 11, 8, 4], [12, 12, 4, 7], + [5, 5, 9, 9], [6, 6, 12, 13], [7, 7, 11, 11], [8, 8, 13, 10], + [13, 13, 10, 12]], + [[1, 1, 0, 0], [0, 0, 2, 3], [4, 4, 3, 1], [5, 5, 1, 2], [2, 2, 4, 4] + , [3, 3, 6, 7], [7, 7, 7, 5], [6, 6, 5, 6]]] + for i in range(len(t2)): + assert L[i].table == t2[i] + + f = FpGroup(F, [x**2, y**3, (x*y)**7]) + L = low_index_subgroups(f, 10, [x]) + t3 = [[[0, 0, 0, 0]], + [[0, 0, 1, 2], [1, 1, 2, 0], [3, 3, 0, 1], [2, 2, 4, 5], [4, 4, 5, 3], + [6, 6, 3, 4], [5, 5, 6, 6]], + [[0, 0, 1, 2], [1, 1, 2, 0], [3, 3, 0, 1], [2, 2, 4, 5], [6, 6, 5, 3], + [5, 5, 3, 4], [4, 4, 6, 6]], + [[0, 0, 1, 2], [3, 3, 2, 0], [4, 4, 0, 1], [1, 1, 5, 6], [2, 2, 7, 8], + [6, 6, 6, 3], [5, 5, 3, 5], [8, 8, 8, 4], [7, 7, 4, 7]]] + for i in range(len(t3)): + assert L[i].table == t3[i] + + +def test_subgroup_presentations(): + F, x, y = free_group("x, y") + f = FpGroup(F, [x**3, y**5, (x*y)**2]) + H = [x*y, x**-1*y**-1*x*y*x] + p1 = reidemeister_presentation(f, H) + assert str(p1) == "((y_1, y_2), (y_1**2, y_2**3, y_2*y_1*y_2*y_1*y_2*y_1))" + + H = f.subgroup(H) + assert (H.generators, H.relators) == p1 + + f = FpGroup(F, [x**3, y**3, (x*y)**3]) + H = [x*y, x*y**-1] + p2 = reidemeister_presentation(f, H) + assert str(p2) == "((x_0, y_0), (x_0**3, y_0**3, x_0*y_0*x_0*y_0*x_0*y_0))" + + f = FpGroup(F, [x**2*y**2, y**-1*x*y*x**-3]) + H = [x] + p3 = reidemeister_presentation(f, H) + assert str(p3) == "((x_0,), (x_0**4,))" + + f = FpGroup(F, [x**3*y**-3, (x*y)**3, (x*y**-1)**2]) + H = [x] + p4 = reidemeister_presentation(f, H) + assert str(p4) == "((x_0,), (x_0**6,))" + + # this presentation can be improved, the most simplified form + # of presentation is + # See [2] Pg 474 group PSL_2(11) + # This is the group PSL_2(11) + F, a, b, c = free_group("a, b, c") + f = FpGroup(F, [a**11, b**5, c**4, (b*c**2)**2, (a*b*c)**3, (a**4*c**2)**3, b**2*c**-1*b**-1*c, a**4*b**-1*a**-1*b]) + H = [a, b, c**2] + gens, rels = reidemeister_presentation(f, H) + assert str(gens) == "(b_1, c_3)" + assert len(rels) == 18 + + +@slow +def test_order(): + F, x, y = free_group("x, y") + f = FpGroup(F, [x**4, y**2, x*y*x**-1*y]) + assert f.order() == 8 + + f = FpGroup(F, [x*y*x**-1*y**-1, y**2]) + assert f.order() is S.Infinity + + F, a, b, c = free_group("a, b, c") + f = FpGroup(F, [a**250, b**2, c*b*c**-1*b, c**4, c**-1*a**-1*c*a, a**-1*b**-1*a*b]) + assert f.order() == 2000 + + F, x = free_group("x") + f = FpGroup(F, []) + assert f.order() is S.Infinity + + f = FpGroup(free_group('')[0], []) + assert f.order() == 1 + +def test_fp_subgroup(): + def _test_subgroup(K, T, S): + _gens = T(K.generators) + assert all(elem in S for elem in _gens) + assert T.is_injective() + assert T.image().order() == S.order() + F, x, y = free_group("x, y") + f = FpGroup(F, [x**4, y**2, x*y*x**-1*y]) + S = FpSubgroup(f, [x*y]) + assert (x*y)**-3 in S + K, T = f.subgroup([x*y], homomorphism=True) + assert T(K.generators) == [y*x**-1] + _test_subgroup(K, T, S) + + S = FpSubgroup(f, [x**-1*y*x]) + assert x**-1*y**4*x in S + assert x**-1*y**4*x**2 not in S + K, T = f.subgroup([x**-1*y*x], homomorphism=True) + assert T(K.generators[0]**3) == y**3 + _test_subgroup(K, T, S) + + f = FpGroup(F, [x**3, y**5, (x*y)**2]) + H = [x*y, x**-1*y**-1*x*y*x] + K, T = f.subgroup(H, homomorphism=True) + S = FpSubgroup(f, H) + _test_subgroup(K, T, S) + +def test_permutation_methods(): + F, x, y = free_group("x, y") + # DihedralGroup(8) + G = FpGroup(F, [x**2, y**8, x*y*x**-1*y]) + T = G._to_perm_group()[1] + assert T.is_isomorphism() + assert G.center() == [y**4] + + # DiheadralGroup(4) + G = FpGroup(F, [x**2, y**4, x*y*x**-1*y]) + S = FpSubgroup(G, G.normal_closure([x])) + assert x in S + assert y**-1*x*y in S + + # Z_5xZ_4 + G = FpGroup(F, [x*y*x**-1*y**-1, y**5, x**4]) + assert G.is_abelian + assert G.is_solvable + + # AlternatingGroup(5) + G = FpGroup(F, [x**3, y**2, (x*y)**5]) + assert not G.is_solvable + + # AlternatingGroup(4) + G = FpGroup(F, [x**3, y**2, (x*y)**3]) + assert len(G.derived_series()) == 3 + S = FpSubgroup(G, G.derived_subgroup()) + assert S.order() == 4 + + +def test_simplify_presentation(): + # ref #16083 + G = simplify_presentation(FpGroup(FreeGroup([]), [])) + assert not G.generators + assert not G.relators + + # CyclicGroup(3) + # The second generator in is trivial due to relators {x^2, x^5} + F, x, y = free_group("x, y") + G = simplify_presentation(FpGroup(F, [x**2, x**5, y**3])) + assert x in G.relators + +def test_cyclic(): + F, x, y = free_group("x, y") + f = FpGroup(F, [x*y, x**-1*y**-1*x*y*x]) + assert f.is_cyclic + f = FpGroup(F, [x*y, x*y**-1]) + assert f.is_cyclic + f = FpGroup(F, [x**4, y**2, x*y*x**-1*y]) + assert not f.is_cyclic + + +def test_abelian_invariants(): + F, x, y = free_group("x, y") + f = FpGroup(F, [x*y, x**-1*y**-1*x*y*x]) + assert f.abelian_invariants() == [] + f = FpGroup(F, [x*y, x*y**-1]) + assert f.abelian_invariants() == [2] + f = FpGroup(F, [x**4, y**2, x*y*x**-1*y]) + assert f.abelian_invariants() == [2, 4] diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_free_groups.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_free_groups.py new file mode 100644 index 0000000000000000000000000000000000000000..439be4b7c5e8bb5ff592c9b7f07773e82952b3d5 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_free_groups.py @@ -0,0 +1,226 @@ +from sympy.combinatorics.free_groups import free_group, FreeGroup +from sympy.core import Symbol +from sympy.testing.pytest import raises +from sympy.core.numbers import oo + +F, x, y, z = free_group("x, y, z") + + +def test_FreeGroup__init__(): + x, y, z = map(Symbol, "xyz") + + assert len(FreeGroup("x, y, z").generators) == 3 + assert len(FreeGroup(x).generators) == 1 + assert len(FreeGroup(("x", "y", "z"))) == 3 + assert len(FreeGroup((x, y, z)).generators) == 3 + + +def test_FreeGroup__getnewargs__(): + x, y, z = map(Symbol, "xyz") + assert FreeGroup("x, y, z").__getnewargs__() == ((x, y, z),) + + +def test_free_group(): + G, a, b, c = free_group("a, b, c") + assert F.generators == (x, y, z) + assert x*z**2 in F + assert x in F + assert y*z**-1 in F + assert (y*z)**0 in F + assert a not in F + assert a**0 not in F + assert len(F) == 3 + assert str(F) == '' + assert not F == G + assert F.order() is oo + assert F.is_abelian == False + assert F.center() == {F.identity} + + (e,) = free_group("") + assert e.order() == 1 + assert e.generators == () + assert e.elements == {e.identity} + assert e.is_abelian == True + + +def test_FreeGroup__hash__(): + assert hash(F) + + +def test_FreeGroup__eq__(): + assert free_group("x, y, z")[0] == free_group("x, y, z")[0] + assert free_group("x, y, z")[0] is free_group("x, y, z")[0] + + assert free_group("x, y, z")[0] != free_group("a, x, y")[0] + assert free_group("x, y, z")[0] is not free_group("a, x, y")[0] + + assert free_group("x, y")[0] != free_group("x, y, z")[0] + assert free_group("x, y")[0] is not free_group("x, y, z")[0] + + assert free_group("x, y, z")[0] != free_group("x, y")[0] + assert free_group("x, y, z")[0] is not free_group("x, y")[0] + + +def test_FreeGroup__getitem__(): + assert F[0:] == FreeGroup("x, y, z") + assert F[1:] == FreeGroup("y, z") + assert F[2:] == FreeGroup("z") + + +def test_FreeGroupElm__hash__(): + assert hash(x*y*z) + + +def test_FreeGroupElm_copy(): + f = x*y*z**3 + g = f.copy() + h = x*y*z**7 + + assert f == g + assert f != h + + +def test_FreeGroupElm_inverse(): + assert x.inverse() == x**-1 + assert (x*y).inverse() == y**-1*x**-1 + assert (y*x*y**-1).inverse() == y*x**-1*y**-1 + assert (y**2*x**-1).inverse() == x*y**-2 + + +def test_FreeGroupElm_type_error(): + raises(TypeError, lambda: 2/x) + raises(TypeError, lambda: x**2 + y**2) + raises(TypeError, lambda: x/2) + + +def test_FreeGroupElm_methods(): + assert (x**0).order() == 1 + assert (y**2).order() is oo + assert (x**-1*y).commutator(x) == y**-1*x**-1*y*x + assert len(x**2*y**-1) == 3 + assert len(x**-1*y**3*z) == 5 + + +def test_FreeGroupElm_eliminate_word(): + w = x**5*y*x**2*y**-4*x + assert w.eliminate_word( x, x**2 ) == x**10*y*x**4*y**-4*x**2 + w3 = x**2*y**3*x**-1*y + assert w3.eliminate_word(x, x**2) == x**4*y**3*x**-2*y + assert w3.eliminate_word(x, y) == y**5 + assert w3.eliminate_word(x, y**4) == y**8 + assert w3.eliminate_word(y, x**-1) == x**-3 + assert w3.eliminate_word(x, y*z) == y*z*y*z*y**3*z**-1 + assert (y**-3).eliminate_word(y, x**-1*z**-1) == z*x*z*x*z*x + #assert w3.eliminate_word(x, y*x) == y*x*y*x**2*y*x*y*x*y*x*z**3 + #assert w3.eliminate_word(x, x*y) == x*y*x**2*y*x*y*x*y*x*y*z**3 + + +def test_FreeGroupElm_array_form(): + assert (x*z).array_form == ((Symbol('x'), 1), (Symbol('z'), 1)) + assert (x**2*z*y*x**-2).array_form == \ + ((Symbol('x'), 2), (Symbol('z'), 1), (Symbol('y'), 1), (Symbol('x'), -2)) + assert (x**-2*y**-1).array_form == ((Symbol('x'), -2), (Symbol('y'), -1)) + + +def test_FreeGroupElm_letter_form(): + assert (x**3).letter_form == (Symbol('x'), Symbol('x'), Symbol('x')) + assert (x**2*z**-2*x).letter_form == \ + (Symbol('x'), Symbol('x'), -Symbol('z'), -Symbol('z'), Symbol('x')) + + +def test_FreeGroupElm_ext_rep(): + assert (x**2*z**-2*x).ext_rep == \ + (Symbol('x'), 2, Symbol('z'), -2, Symbol('x'), 1) + assert (x**-2*y**-1).ext_rep == (Symbol('x'), -2, Symbol('y'), -1) + assert (x*z).ext_rep == (Symbol('x'), 1, Symbol('z'), 1) + + +def test_FreeGroupElm__mul__pow__(): + x1 = x.group.dtype(((Symbol('x'), 1),)) + assert x**2 == x1*x + + assert (x**2*y*x**-2)**4 == x**2*y**4*x**-2 + assert (x**2)**2 == x**4 + assert (x**-1)**-1 == x + assert (x**-1)**0 == F.identity + assert (y**2)**-2 == y**-4 + + assert x**2*x**-1 == x + assert x**2*y**2*y**-1 == x**2*y + assert x*x**-1 == F.identity + + assert x/x == F.identity + assert x/x**2 == x**-1 + assert (x**2*y)/(x**2*y**-1) == x**2*y**2*x**-2 + assert (x**2*y)/(y**-1*x**2) == x**2*y*x**-2*y + + assert x*(x**-1*y*z*y**-1) == y*z*y**-1 + assert x**2*(x**-2*y**-1*z**2*y) == y**-1*z**2*y + + a = F.identity + for n in range(10): + assert a == x**n + assert a**-1 == x**-n + a *= x + + +def test_FreeGroupElm__len__(): + assert len(x**5*y*x**2*y**-4*x) == 13 + assert len(x**17) == 17 + assert len(y**0) == 0 + + +def test_FreeGroupElm_comparison(): + assert not (x*y == y*x) + assert x**0 == y**0 + + assert x**2 < y**3 + assert not x**3 < y**2 + assert x*y < x**2*y + assert x**2*y**2 < y**4 + assert not y**4 < y**-4 + assert not y**4 < x**-4 + assert y**-2 < y**2 + + assert x**2 <= y**2 + assert x**2 <= x**2 + + assert not y*z > z*y + assert x > x**-1 + + assert not x**2 >= y**2 + + +def test_FreeGroupElm_syllables(): + w = x**5*y*x**2*y**-4*x + assert w.number_syllables() == 5 + assert w.exponent_syllable(2) == 2 + assert w.generator_syllable(3) == Symbol('y') + assert w.sub_syllables(1, 2) == y + assert w.sub_syllables(3, 3) == F.identity + + +def test_FreeGroup_exponents(): + w1 = x**2*y**3 + assert w1.exponent_sum(x) == 2 + assert w1.exponent_sum(x**-1) == -2 + assert w1.generator_count(x) == 2 + + w2 = x**2*y**4*x**-3 + assert w2.exponent_sum(x) == -1 + assert w2.generator_count(x) == 5 + + +def test_FreeGroup_generators(): + assert (x**2*y**4*z**-1).contains_generators() == {x, y, z} + assert (x**-1*y**3).contains_generators() == {x, y} + + +def test_FreeGroupElm_words(): + w = x**5*y*x**2*y**-4*x + assert w.subword(2, 6) == x**3*y + assert w.subword(3, 2) == F.identity + assert w.subword(6, 10) == x**2*y**-2 + + assert w.substituted_word(0, 7, y**-1) == y**-1*x*y**-4*x + assert w.substituted_word(0, 7, y**2*x) == y**2*x**2*y**-4*x diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_galois.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_galois.py new file mode 100644 index 0000000000000000000000000000000000000000..0d2ac29a846db88444d275b72a85ce3debaeaf05 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_galois.py @@ -0,0 +1,82 @@ +"""Test groups defined by the galois module. """ + +from sympy.combinatorics.galois import ( + S4TransitiveSubgroups, S5TransitiveSubgroups, S6TransitiveSubgroups, + find_transitive_subgroups_of_S6, +) +from sympy.combinatorics.homomorphisms import is_isomorphic +from sympy.combinatorics.named_groups import ( + SymmetricGroup, AlternatingGroup, CyclicGroup, +) + + +def test_four_group(): + G = S4TransitiveSubgroups.V.get_perm_group() + A4 = AlternatingGroup(4) + assert G.is_subgroup(A4) + assert G.degree == 4 + assert G.is_transitive() + assert G.order() == 4 + assert not G.is_cyclic + + +def test_M20(): + G = S5TransitiveSubgroups.M20.get_perm_group() + S5 = SymmetricGroup(5) + A5 = AlternatingGroup(5) + assert G.is_subgroup(S5) + assert not G.is_subgroup(A5) + assert G.degree == 5 + assert G.is_transitive() + assert G.order() == 20 + + +# Setting this True means that for each of the transitive subgroups of S6, +# we run a test not only on the fixed representation, but also on one freshly +# generated by the search procedure. +INCLUDE_SEARCH_REPS = False +S6_randomized = {} +if INCLUDE_SEARCH_REPS: + S6_randomized = find_transitive_subgroups_of_S6(*list(S6TransitiveSubgroups)) + + +def get_versions_of_S6_subgroup(name): + vers = [name.get_perm_group()] + if INCLUDE_SEARCH_REPS: + vers.append(S6_randomized[name]) + return vers + + +def test_S6_transitive_subgroups(): + """ + Test enough characteristics to distinguish all 16 transitive subgroups. + """ + ts = S6TransitiveSubgroups + A6 = AlternatingGroup(6) + for name, alt, order, is_isom, not_isom in [ + (ts.C6, False, 6, CyclicGroup(6), None), + (ts.S3, False, 6, SymmetricGroup(3), None), + (ts.D6, False, 12, None, None), + (ts.A4, True, 12, None, None), + (ts.G18, False, 18, None, None), + (ts.A4xC2, False, 24, None, SymmetricGroup(4)), + (ts.S4m, False, 24, SymmetricGroup(4), None), + (ts.S4p, True, 24, None, None), + (ts.G36m, False, 36, None, None), + (ts.G36p, True, 36, None, None), + (ts.S4xC2, False, 48, None, None), + (ts.PSL2F5, True, 60, None, None), + (ts.G72, False, 72, None, None), + (ts.PGL2F5, False, 120, None, None), + (ts.A6, True, 360, None, None), + (ts.S6, False, 720, None, None), + ]: + for G in get_versions_of_S6_subgroup(name): + assert G.is_transitive() + assert G.degree == 6 + assert G.is_subgroup(A6) is alt + assert G.order() == order + if is_isom: + assert is_isomorphic(G, is_isom) + if not_isom: + assert not is_isomorphic(G, not_isom) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_generators.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_generators.py new file mode 100644 index 0000000000000000000000000000000000000000..795ef8f08f6ec212879f528c6a0c2f0bd73037f0 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_generators.py @@ -0,0 +1,105 @@ +from sympy.combinatorics.generators import symmetric, cyclic, alternating, \ + dihedral, rubik +from sympy.combinatorics.permutations import Permutation +from sympy.testing.pytest import raises + +def test_generators(): + + assert list(cyclic(6)) == [ + Permutation([0, 1, 2, 3, 4, 5]), + Permutation([1, 2, 3, 4, 5, 0]), + Permutation([2, 3, 4, 5, 0, 1]), + Permutation([3, 4, 5, 0, 1, 2]), + Permutation([4, 5, 0, 1, 2, 3]), + Permutation([5, 0, 1, 2, 3, 4])] + + assert list(cyclic(10)) == [ + Permutation([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]), + Permutation([1, 2, 3, 4, 5, 6, 7, 8, 9, 0]), + Permutation([2, 3, 4, 5, 6, 7, 8, 9, 0, 1]), + Permutation([3, 4, 5, 6, 7, 8, 9, 0, 1, 2]), + Permutation([4, 5, 6, 7, 8, 9, 0, 1, 2, 3]), + Permutation([5, 6, 7, 8, 9, 0, 1, 2, 3, 4]), + Permutation([6, 7, 8, 9, 0, 1, 2, 3, 4, 5]), + Permutation([7, 8, 9, 0, 1, 2, 3, 4, 5, 6]), + Permutation([8, 9, 0, 1, 2, 3, 4, 5, 6, 7]), + Permutation([9, 0, 1, 2, 3, 4, 5, 6, 7, 8])] + + assert list(alternating(4)) == [ + Permutation([0, 1, 2, 3]), + Permutation([0, 2, 3, 1]), + Permutation([0, 3, 1, 2]), + Permutation([1, 0, 3, 2]), + Permutation([1, 2, 0, 3]), + Permutation([1, 3, 2, 0]), + Permutation([2, 0, 1, 3]), + Permutation([2, 1, 3, 0]), + Permutation([2, 3, 0, 1]), + Permutation([3, 0, 2, 1]), + Permutation([3, 1, 0, 2]), + Permutation([3, 2, 1, 0])] + + assert list(symmetric(3)) == [ + Permutation([0, 1, 2]), + Permutation([0, 2, 1]), + Permutation([1, 0, 2]), + Permutation([1, 2, 0]), + Permutation([2, 0, 1]), + Permutation([2, 1, 0])] + + assert list(symmetric(4)) == [ + Permutation([0, 1, 2, 3]), + Permutation([0, 1, 3, 2]), + Permutation([0, 2, 1, 3]), + Permutation([0, 2, 3, 1]), + Permutation([0, 3, 1, 2]), + Permutation([0, 3, 2, 1]), + Permutation([1, 0, 2, 3]), + Permutation([1, 0, 3, 2]), + Permutation([1, 2, 0, 3]), + Permutation([1, 2, 3, 0]), + Permutation([1, 3, 0, 2]), + Permutation([1, 3, 2, 0]), + Permutation([2, 0, 1, 3]), + Permutation([2, 0, 3, 1]), + Permutation([2, 1, 0, 3]), + Permutation([2, 1, 3, 0]), + Permutation([2, 3, 0, 1]), + Permutation([2, 3, 1, 0]), + Permutation([3, 0, 1, 2]), + Permutation([3, 0, 2, 1]), + Permutation([3, 1, 0, 2]), + Permutation([3, 1, 2, 0]), + Permutation([3, 2, 0, 1]), + Permutation([3, 2, 1, 0])] + + assert list(dihedral(1)) == [ + Permutation([0, 1]), Permutation([1, 0])] + + assert list(dihedral(2)) == [ + Permutation([0, 1, 2, 3]), + Permutation([1, 0, 3, 2]), + Permutation([2, 3, 0, 1]), + Permutation([3, 2, 1, 0])] + + assert list(dihedral(3)) == [ + Permutation([0, 1, 2]), + Permutation([2, 1, 0]), + Permutation([1, 2, 0]), + Permutation([0, 2, 1]), + Permutation([2, 0, 1]), + Permutation([1, 0, 2])] + + assert list(dihedral(5)) == [ + Permutation([0, 1, 2, 3, 4]), + Permutation([4, 3, 2, 1, 0]), + Permutation([1, 2, 3, 4, 0]), + Permutation([0, 4, 3, 2, 1]), + Permutation([2, 3, 4, 0, 1]), + Permutation([1, 0, 4, 3, 2]), + Permutation([3, 4, 0, 1, 2]), + Permutation([2, 1, 0, 4, 3]), + Permutation([4, 0, 1, 2, 3]), + Permutation([3, 2, 1, 0, 4])] + + raises(ValueError, lambda: rubik(1)) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_graycode.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_graycode.py new file mode 100644 index 0000000000000000000000000000000000000000..a754a3c401b07c9c12cb9bdeeefdfc94f6cb8b5c --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_graycode.py @@ -0,0 +1,72 @@ +from sympy.combinatorics.graycode import (GrayCode, bin_to_gray, + random_bitstring, get_subset_from_bitstring, graycode_subsets, + gray_to_bin) +from sympy.testing.pytest import raises + +def test_graycode(): + g = GrayCode(2) + got = [] + for i in g.generate_gray(): + if i.startswith('0'): + g.skip() + got.append(i) + assert got == '00 11 10'.split() + a = GrayCode(6) + assert a.current == '0'*6 + assert a.rank == 0 + assert len(list(a.generate_gray())) == 64 + codes = ['011001', '011011', '011010', + '011110', '011111', '011101', '011100', '010100', '010101', '010111', + '010110', '010010', '010011', '010001', '010000', '110000', '110001', + '110011', '110010', '110110', '110111', '110101', '110100', '111100', + '111101', '111111', '111110', '111010', '111011', '111001', '111000', + '101000', '101001', '101011', '101010', '101110', '101111', '101101', + '101100', '100100', '100101', '100111', '100110', '100010', '100011', + '100001', '100000'] + assert list(a.generate_gray(start='011001')) == codes + assert list( + a.generate_gray(rank=GrayCode(6, start='011001').rank)) == codes + assert a.next().current == '000001' + assert a.next(2).current == '000011' + assert a.next(-1).current == '100000' + + a = GrayCode(5, start='10010') + assert a.rank == 28 + a = GrayCode(6, start='101000') + assert a.rank == 48 + + assert GrayCode(6, rank=4).current == '000110' + assert GrayCode(6, rank=4).rank == 4 + assert [GrayCode(4, start=s).rank for s in + GrayCode(4).generate_gray()] == [0, 1, 2, 3, 4, 5, 6, 7, 8, + 9, 10, 11, 12, 13, 14, 15] + a = GrayCode(15, rank=15) + assert a.current == '000000000001000' + + assert bin_to_gray('111') == '100' + + a = random_bitstring(5) + assert type(a) is str + assert len(a) == 5 + assert all(i in ['0', '1'] for i in a) + + assert get_subset_from_bitstring( + ['a', 'b', 'c', 'd'], '0011') == ['c', 'd'] + assert get_subset_from_bitstring('abcd', '1001') == ['a', 'd'] + assert list(graycode_subsets(['a', 'b', 'c'])) == \ + [[], ['c'], ['b', 'c'], ['b'], ['a', 'b'], ['a', 'b', 'c'], + ['a', 'c'], ['a']] + + raises(ValueError, lambda: GrayCode(0)) + raises(ValueError, lambda: GrayCode(2.2)) + raises(ValueError, lambda: GrayCode(2, start=[1, 1, 0])) + raises(ValueError, lambda: GrayCode(2, rank=2.5)) + raises(ValueError, lambda: get_subset_from_bitstring(['c', 'a', 'c'], '1100')) + raises(ValueError, lambda: list(GrayCode(3).generate_gray(start="1111"))) + + +def test_live_issue_117(): + assert bin_to_gray('0100') == '0110' + assert bin_to_gray('0101') == '0111' + for bits in ('0100', '0101'): + assert gray_to_bin(bin_to_gray(bits)) == bits diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_group_constructs.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_group_constructs.py new file mode 100644 index 0000000000000000000000000000000000000000..d0f7d6394bbc2e285650ea95d36be8e2ed5ea69e --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_group_constructs.py @@ -0,0 +1,15 @@ +from sympy.combinatorics.group_constructs import DirectProduct +from sympy.combinatorics.named_groups import CyclicGroup, DihedralGroup + + +def test_direct_product_n(): + C = CyclicGroup(4) + D = DihedralGroup(4) + G = DirectProduct(C, C, C) + assert G.order() == 64 + assert G.degree == 12 + assert len(G.orbits()) == 3 + assert G.is_abelian is True + H = DirectProduct(D, C) + assert H.order() == 32 + assert H.is_abelian is False diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_group_numbers.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_group_numbers.py new file mode 100644 index 0000000000000000000000000000000000000000..743f1dcc8b642c19706687eeeddf6c9070b59166 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_group_numbers.py @@ -0,0 +1,110 @@ +from sympy.combinatorics.group_numbers import (is_nilpotent_number, + is_abelian_number, is_cyclic_number, _holder_formula, groups_count) +from sympy.ntheory.factor_ import factorint +from sympy.ntheory.generate import prime +from sympy.testing.pytest import raises +from sympy import randprime + + +def test_is_nilpotent_number(): + assert is_nilpotent_number(21) == False + assert is_nilpotent_number(randprime(1, 30)**12) == True + raises(ValueError, lambda: is_nilpotent_number(-5)) + + A056867 = [1, 2, 3, 4, 5, 7, 8, 9, 11, 13, 15, 16, 17, 19, + 23, 25, 27, 29, 31, 32, 33, 35, 37, 41, 43, 45, + 47, 49, 51, 53, 59, 61, 64, 65, 67, 69, 71, 73, + 77, 79, 81, 83, 85, 87, 89, 91, 95, 97, 99] + for n in range(1, 100): + assert is_nilpotent_number(n) == (n in A056867) + + +def test_is_abelian_number(): + assert is_abelian_number(4) == True + assert is_abelian_number(randprime(1, 2000)**2) == True + assert is_abelian_number(randprime(1000, 100000)) == True + assert is_abelian_number(60) == False + assert is_abelian_number(24) == False + raises(ValueError, lambda: is_abelian_number(-5)) + + A051532 = [1, 2, 3, 4, 5, 7, 9, 11, 13, 15, 17, 19, 23, 25, + 29, 31, 33, 35, 37, 41, 43, 45, 47, 49, 51, 53, + 59, 61, 65, 67, 69, 71, 73, 77, 79, 83, 85, 87, + 89, 91, 95, 97, 99] + for n in range(1, 100): + assert is_abelian_number(n) == (n in A051532) + + +A003277 = [1, 2, 3, 5, 7, 11, 13, 15, 17, 19, 23, 29, + 31, 33, 35, 37, 41, 43, 47, 51, 53, 59, 61, + 65, 67, 69, 71, 73, 77, 79, 83, 85, 87, 89, + 91, 95, 97] + + +def test_is_cyclic_number(): + assert is_cyclic_number(15) == True + assert is_cyclic_number(randprime(1, 2000)**2) == False + assert is_cyclic_number(randprime(1000, 100000)) == True + assert is_cyclic_number(4) == False + raises(ValueError, lambda: is_cyclic_number(-5)) + + for n in range(1, 100): + assert is_cyclic_number(n) == (n in A003277) + + +def test_holder_formula(): + # semiprime + assert _holder_formula({3, 5}) == 1 + assert _holder_formula({5, 11}) == 2 + # n in A003277 is always 1 + for n in A003277: + assert _holder_formula(set(factorint(n).keys())) == 1 + # otherwise + assert _holder_formula({2, 3, 5, 7}) == 12 + + +def test_groups_count(): + A000001 = [0, 1, 1, 1, 2, 1, 2, 1, 5, 2, 2, 1, 5, 1, + 2, 1, 14, 1, 5, 1, 5, 2, 2, 1, 15, 2, 2, + 5, 4, 1, 4, 1, 51, 1, 2, 1, 14, 1, 2, 2, + 14, 1, 6, 1, 4, 2, 2, 1, 52, 2, 5, 1, 5, + 1, 15, 2, 13, 2, 2, 1, 13, 1, 2, 4, 267, + 1, 4, 1, 5, 1, 4, 1, 50, 1, 2, 3, 4, 1, + 6, 1, 52, 15, 2, 1, 15, 1, 2, 1, 12, 1, + 10, 1, 4, 2] + for n in range(1, len(A000001)): + try: + assert groups_count(n) == A000001[n] + except ValueError: + pass + + A000679 = [1, 1, 2, 5, 14, 51, 267, 2328, 56092, 10494213, 49487367289] + for e in range(1, len(A000679)): + assert groups_count(2**e) == A000679[e] + + A090091 = [1, 1, 2, 5, 15, 67, 504, 9310, 1396077, 5937876645] + for e in range(1, len(A090091)): + assert groups_count(3**e) == A090091[e] + + A090130 = [1, 1, 2, 5, 15, 77, 684, 34297] + for e in range(1, len(A090130)): + assert groups_count(5**e) == A090130[e] + + A090140 = [1, 1, 2, 5, 15, 83, 860, 113147] + for e in range(1, len(A090140)): + assert groups_count(7**e) == A090140[e] + + A232105 = [51, 67, 77, 83, 87, 97, 101, 107, 111, 125, 131, + 145, 149, 155, 159, 173, 183, 193, 203, 207, 217] + for i in range(len(A232105)): + assert groups_count(prime(i+1)**5) == A232105[i] + + A232106 = [267, 504, 684, 860, 1192, 1476, 1944, 2264, 2876, + 4068, 4540, 6012, 7064, 7664, 8852, 10908, 13136] + for i in range(len(A232106)): + assert groups_count(prime(i+1)**6) == A232106[i] + + A232107 = [2328, 9310, 34297, 113147, 750735, 1600573, + 5546909, 9380741, 23316851, 71271069, 98488755] + for i in range(len(A232107)): + assert groups_count(prime(i+1)**7) == A232107[i] diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_homomorphisms.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_homomorphisms.py new file mode 100644 index 0000000000000000000000000000000000000000..0936bbddf46a16dccdfbaebda8d1c675c131f05a --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_homomorphisms.py @@ -0,0 +1,114 @@ +from sympy.combinatorics import Permutation +from sympy.combinatorics.perm_groups import PermutationGroup +from sympy.combinatorics.homomorphisms import homomorphism, group_isomorphism, is_isomorphic +from sympy.combinatorics.free_groups import free_group +from sympy.combinatorics.fp_groups import FpGroup +from sympy.combinatorics.named_groups import AlternatingGroup, DihedralGroup, CyclicGroup +from sympy.testing.pytest import raises + +def test_homomorphism(): + # FpGroup -> PermutationGroup + F, a, b = free_group("a, b") + G = FpGroup(F, [a**3, b**3, (a*b)**2]) + + c = Permutation(3)(0, 1, 2) + d = Permutation(3)(1, 2, 3) + A = AlternatingGroup(4) + T = homomorphism(G, A, [a, b], [c, d]) + assert T(a*b**2*a**-1) == c*d**2*c**-1 + assert T.is_isomorphism() + assert T(T.invert(Permutation(3)(0, 2, 3))) == Permutation(3)(0, 2, 3) + + T = homomorphism(G, AlternatingGroup(4), G.generators) + assert T.is_trivial() + assert T.kernel().order() == G.order() + + E, e = free_group("e") + G = FpGroup(E, [e**8]) + P = PermutationGroup([Permutation(0, 1, 2, 3), Permutation(0, 2)]) + T = homomorphism(G, P, [e], [Permutation(0, 1, 2, 3)]) + assert T.image().order() == 4 + assert T(T.invert(Permutation(0, 2)(1, 3))) == Permutation(0, 2)(1, 3) + + T = homomorphism(E, AlternatingGroup(4), E.generators, [c]) + assert T.invert(c**2) == e**-1 #order(c) == 3 so c**2 == c**-1 + + # FreeGroup -> FreeGroup + T = homomorphism(F, E, [a], [e]) + assert T(a**-2*b**4*a**2).is_identity + + # FreeGroup -> FpGroup + G = FpGroup(F, [a*b*a**-1*b**-1]) + T = homomorphism(F, G, F.generators, G.generators) + assert T.invert(a**-1*b**-1*a**2) == a*b**-1 + + # PermutationGroup -> PermutationGroup + D = DihedralGroup(8) + p = Permutation(0, 1, 2, 3, 4, 5, 6, 7) + P = PermutationGroup(p) + T = homomorphism(P, D, [p], [p]) + assert T.is_injective() + assert not T.is_isomorphism() + assert T.invert(p**3) == p**3 + + T2 = homomorphism(F, P, [F.generators[0]], P.generators) + T = T.compose(T2) + assert T.domain == F + assert T.codomain == D + assert T(a*b) == p + + D3 = DihedralGroup(3) + T = homomorphism(D3, D3, D3.generators, D3.generators) + assert T.is_isomorphism() + + +def test_isomorphisms(): + + F, a, b = free_group("a, b") + E, c, d = free_group("c, d") + # Infinite groups with differently ordered relators. + G = FpGroup(F, [a**2, b**3]) + H = FpGroup(F, [b**3, a**2]) + assert is_isomorphic(G, H) + + # Trivial Case + # FpGroup -> FpGroup + H = FpGroup(F, [a**3, b**3, (a*b)**2]) + F, c, d = free_group("c, d") + G = FpGroup(F, [c**3, d**3, (c*d)**2]) + check, T = group_isomorphism(G, H) + assert check + assert T(c**3*d**2) == a**3*b**2 + + # FpGroup -> PermutationGroup + # FpGroup is converted to the equivalent isomorphic group. + F, a, b = free_group("a, b") + G = FpGroup(F, [a**3, b**3, (a*b)**2]) + H = AlternatingGroup(4) + check, T = group_isomorphism(G, H) + assert check + assert T(b*a*b**-1*a**-1*b**-1) == Permutation(0, 2, 3) + assert T(b*a*b*a**-1*b**-1) == Permutation(0, 3, 2) + + # PermutationGroup -> PermutationGroup + D = DihedralGroup(8) + p = Permutation(0, 1, 2, 3, 4, 5, 6, 7) + P = PermutationGroup(p) + assert not is_isomorphic(D, P) + + A = CyclicGroup(5) + B = CyclicGroup(7) + assert not is_isomorphic(A, B) + + # Two groups of the same prime order are isomorphic to each other. + G = FpGroup(F, [a, b**5]) + H = CyclicGroup(5) + assert G.order() == H.order() + assert is_isomorphic(G, H) + + +def test_check_homomorphism(): + a = Permutation(1,2,3,4) + b = Permutation(1,3) + G = PermutationGroup([a, b]) + raises(ValueError, lambda: homomorphism(G, G, [a], [a])) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_named_groups.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_named_groups.py new file mode 100644 index 0000000000000000000000000000000000000000..59bcb6ef3f020335de76d7a72152a0b58cbc6976 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_named_groups.py @@ -0,0 +1,70 @@ +from sympy.combinatorics.named_groups import (SymmetricGroup, CyclicGroup, + DihedralGroup, AlternatingGroup, + AbelianGroup, RubikGroup) +from sympy.testing.pytest import raises + + +def test_SymmetricGroup(): + G = SymmetricGroup(5) + elements = list(G.generate()) + assert (G.generators[0]).size == 5 + assert len(elements) == 120 + assert G.is_solvable is False + assert G.is_abelian is False + assert G.is_nilpotent is False + assert G.is_transitive() is True + H = SymmetricGroup(1) + assert H.order() == 1 + L = SymmetricGroup(2) + assert L.order() == 2 + + +def test_CyclicGroup(): + G = CyclicGroup(10) + elements = list(G.generate()) + assert len(elements) == 10 + assert (G.derived_subgroup()).order() == 1 + assert G.is_abelian is True + assert G.is_solvable is True + assert G.is_nilpotent is True + H = CyclicGroup(1) + assert H.order() == 1 + L = CyclicGroup(2) + assert L.order() == 2 + + +def test_DihedralGroup(): + G = DihedralGroup(6) + elements = list(G.generate()) + assert len(elements) == 12 + assert G.is_transitive() is True + assert G.is_abelian is False + assert G.is_solvable is True + assert G.is_nilpotent is False + H = DihedralGroup(1) + assert H.order() == 2 + L = DihedralGroup(2) + assert L.order() == 4 + assert L.is_abelian is True + assert L.is_nilpotent is True + + +def test_AlternatingGroup(): + G = AlternatingGroup(5) + elements = list(G.generate()) + assert len(elements) == 60 + assert [perm.is_even for perm in elements] == [True]*60 + H = AlternatingGroup(1) + assert H.order() == 1 + L = AlternatingGroup(2) + assert L.order() == 1 + + +def test_AbelianGroup(): + A = AbelianGroup(3, 3, 3) + assert A.order() == 27 + assert A.is_abelian is True + + +def test_RubikGroup(): + raises(ValueError, lambda: RubikGroup(1)) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_partitions.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_partitions.py new file mode 100644 index 0000000000000000000000000000000000000000..32e70e53a53aadbb17c8292bbef8f52d1144d6e0 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_partitions.py @@ -0,0 +1,118 @@ +from sympy.core.sorting import ordered, default_sort_key +from sympy.combinatorics.partitions import (Partition, IntegerPartition, + RGS_enum, RGS_unrank, RGS_rank, + random_integer_partition) +from sympy.testing.pytest import raises +from sympy.utilities.iterables import partitions +from sympy.sets.sets import Set, FiniteSet + + +def test_partition_constructor(): + raises(ValueError, lambda: Partition([1, 1, 2])) + raises(ValueError, lambda: Partition([1, 2, 3], [2, 3, 4])) + raises(ValueError, lambda: Partition(1, 2, 3)) + raises(ValueError, lambda: Partition(*list(range(3)))) + + assert Partition([1, 2, 3], [4, 5]) == Partition([4, 5], [1, 2, 3]) + assert Partition({1, 2, 3}, {4, 5}) == Partition([1, 2, 3], [4, 5]) + + a = FiniteSet(1, 2, 3) + b = FiniteSet(4, 5) + assert Partition(a, b) == Partition([1, 2, 3], [4, 5]) + assert Partition({a, b}) == Partition(FiniteSet(a, b)) + assert Partition({a, b}) != Partition(a, b) + +def test_partition(): + from sympy.abc import x + + a = Partition([1, 2, 3], [4]) + b = Partition([1, 2], [3, 4]) + c = Partition([x]) + l = [a, b, c] + l.sort(key=default_sort_key) + assert l == [c, a, b] + l.sort(key=lambda w: default_sort_key(w, order='rev-lex')) + assert l == [c, a, b] + + assert (a == b) is False + assert a <= b + assert (a > b) is False + assert a != b + assert a < b + + assert (a + 2).partition == [[1, 2], [3, 4]] + assert (b - 1).partition == [[1, 2, 4], [3]] + + assert (a - 1).partition == [[1, 2, 3, 4]] + assert (a + 1).partition == [[1, 2, 4], [3]] + assert (b + 1).partition == [[1, 2], [3], [4]] + + assert a.rank == 1 + assert b.rank == 3 + + assert a.RGS == (0, 0, 0, 1) + assert b.RGS == (0, 0, 1, 1) + + +def test_integer_partition(): + # no zeros in partition + raises(ValueError, lambda: IntegerPartition(list(range(3)))) + # check fails since 1 + 2 != 100 + raises(ValueError, lambda: IntegerPartition(100, list(range(1, 3)))) + a = IntegerPartition(8, [1, 3, 4]) + b = a.next_lex() + c = IntegerPartition([1, 3, 4]) + d = IntegerPartition(8, {1: 3, 3: 1, 2: 1}) + assert a == c + assert a.integer == d.integer + assert a.conjugate == [3, 2, 2, 1] + assert (a == b) is False + assert a <= b + assert (a > b) is False + assert a != b + + for i in range(1, 11): + next = set() + prev = set() + a = IntegerPartition([i]) + ans = {IntegerPartition(p) for p in partitions(i)} + n = len(ans) + for j in range(n): + next.add(a) + a = a.next_lex() + IntegerPartition(i, a.partition) # check it by giving i + for j in range(n): + prev.add(a) + a = a.prev_lex() + IntegerPartition(i, a.partition) # check it by giving i + assert next == ans + assert prev == ans + + assert IntegerPartition([1, 2, 3]).as_ferrers() == '###\n##\n#' + assert IntegerPartition([1, 1, 3]).as_ferrers('o') == 'ooo\no\no' + assert str(IntegerPartition([1, 1, 3])) == '[3, 1, 1]' + assert IntegerPartition([1, 1, 3]).partition == [3, 1, 1] + + raises(ValueError, lambda: random_integer_partition(-1)) + assert random_integer_partition(1) == [1] + assert random_integer_partition(10, seed=[1, 3, 2, 1, 5, 1] + ) == [5, 2, 1, 1, 1] + + +def test_rgs(): + raises(ValueError, lambda: RGS_unrank(-1, 3)) + raises(ValueError, lambda: RGS_unrank(3, 0)) + raises(ValueError, lambda: RGS_unrank(10, 1)) + + raises(ValueError, lambda: Partition.from_rgs(list(range(3)), list(range(2)))) + raises(ValueError, lambda: Partition.from_rgs(list(range(1, 3)), list(range(2)))) + assert RGS_enum(-1) == 0 + assert RGS_enum(1) == 1 + assert RGS_unrank(7, 5) == [0, 0, 1, 0, 2] + assert RGS_unrank(23, 14) == [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 2] + assert RGS_rank(RGS_unrank(40, 100)) == 40 + +def test_ordered_partition_9608(): + a = Partition([1, 2, 3], [4]) + b = Partition([1, 2], [3, 4]) + assert list(ordered([a,b], Set._infimum_key)) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_pc_groups.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_pc_groups.py new file mode 100644 index 0000000000000000000000000000000000000000..b0c146279921e1e6499534fe9e33b993348d1503 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_pc_groups.py @@ -0,0 +1,87 @@ +from sympy.combinatorics.permutations import Permutation +from sympy.combinatorics.named_groups import SymmetricGroup, AlternatingGroup, DihedralGroup +from sympy.matrices import Matrix + +def test_pc_presentation(): + Groups = [SymmetricGroup(3), SymmetricGroup(4), SymmetricGroup(9).sylow_subgroup(3), + SymmetricGroup(9).sylow_subgroup(2), SymmetricGroup(8).sylow_subgroup(2), DihedralGroup(10)] + + S = SymmetricGroup(125).sylow_subgroup(5) + G = S.derived_series()[2] + Groups.append(G) + + G = SymmetricGroup(25).sylow_subgroup(5) + Groups.append(G) + + S = SymmetricGroup(11**2).sylow_subgroup(11) + G = S.derived_series()[2] + Groups.append(G) + + for G in Groups: + PcGroup = G.polycyclic_group() + collector = PcGroup.collector + pc_presentation = collector.pc_presentation + + pcgs = PcGroup.pcgs + free_group = collector.free_group + free_to_perm = {} + for s, g in zip(free_group.symbols, pcgs): + free_to_perm[s] = g + + for k, v in pc_presentation.items(): + k_array = k.array_form + if v != (): + v_array = v.array_form + + lhs = Permutation() + for gen in k_array: + s = gen[0] + e = gen[1] + lhs = lhs*free_to_perm[s]**e + + if v == (): + assert lhs.is_identity + continue + + rhs = Permutation() + for gen in v_array: + s = gen[0] + e = gen[1] + rhs = rhs*free_to_perm[s]**e + + assert lhs == rhs + + +def test_exponent_vector(): + + Groups = [SymmetricGroup(3), SymmetricGroup(4), SymmetricGroup(9).sylow_subgroup(3), + SymmetricGroup(9).sylow_subgroup(2), SymmetricGroup(8).sylow_subgroup(2)] + + for G in Groups: + PcGroup = G.polycyclic_group() + collector = PcGroup.collector + + pcgs = PcGroup.pcgs + # free_group = collector.free_group + + for gen in G.generators: + exp = collector.exponent_vector(gen) + g = Permutation() + for i in range(len(exp)): + g = g*pcgs[i]**exp[i] if exp[i] else g + assert g == gen + + +def test_induced_pcgs(): + G = [SymmetricGroup(9).sylow_subgroup(3), SymmetricGroup(20).sylow_subgroup(2), AlternatingGroup(4), + DihedralGroup(4), DihedralGroup(10), DihedralGroup(9), SymmetricGroup(3), SymmetricGroup(4)] + + for g in G: + PcGroup = g.polycyclic_group() + collector = PcGroup.collector + gens = list(g.generators) + ipcgs = collector.induced_pcgs(gens) + m = [] + for i in ipcgs: + m.append(collector.exponent_vector(i)) + assert Matrix(m).is_upper diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_perm_groups.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_perm_groups.py new file mode 100644 index 0000000000000000000000000000000000000000..763b8fb0ae357500d68c29fe1c9e6b156e224949 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_perm_groups.py @@ -0,0 +1,1243 @@ +from sympy.core.containers import Tuple +from sympy.combinatorics.generators import rubik_cube_generators +from sympy.combinatorics.homomorphisms import is_isomorphic +from sympy.combinatorics.named_groups import SymmetricGroup, CyclicGroup,\ + DihedralGroup, AlternatingGroup, AbelianGroup, RubikGroup +from sympy.combinatorics.perm_groups import (PermutationGroup, + _orbit_transversal, Coset, SymmetricPermutationGroup) +from sympy.combinatorics.permutations import Permutation +from sympy.combinatorics.polyhedron import tetrahedron as Tetra, cube +from sympy.combinatorics.testutil import _verify_bsgs, _verify_centralizer,\ + _verify_normal_closure +from sympy.testing.pytest import skip, XFAIL, slow + +rmul = Permutation.rmul + + +def test_has(): + a = Permutation([1, 0]) + G = PermutationGroup([a]) + assert G.is_abelian + a = Permutation([2, 0, 1]) + b = Permutation([2, 1, 0]) + G = PermutationGroup([a, b]) + assert not G.is_abelian + + G = PermutationGroup([a]) + assert G.has(a) + assert not G.has(b) + + a = Permutation([2, 0, 1, 3, 4, 5]) + b = Permutation([0, 2, 1, 3, 4]) + assert PermutationGroup(a, b).degree == \ + PermutationGroup(a, b).degree == 6 + + g = PermutationGroup(Permutation(0, 2, 1)) + assert Tuple(1, g).has(g) + + +def test_generate(): + a = Permutation([1, 0]) + g = list(PermutationGroup([a]).generate()) + assert g == [Permutation([0, 1]), Permutation([1, 0])] + assert len(list(PermutationGroup(Permutation((0, 1))).generate())) == 1 + g = PermutationGroup([a]).generate(method='dimino') + assert list(g) == [Permutation([0, 1]), Permutation([1, 0])] + a = Permutation([2, 0, 1]) + b = Permutation([2, 1, 0]) + G = PermutationGroup([a, b]) + g = G.generate() + v1 = [p.array_form for p in list(g)] + v1.sort() + assert v1 == [[0, 1, 2], [0, 2, 1], [1, 0, 2], [1, 2, 0], [2, 0, + 1], [2, 1, 0]] + v2 = list(G.generate(method='dimino', af=True)) + assert v1 == sorted(v2) + a = Permutation([2, 0, 1, 3, 4, 5]) + b = Permutation([2, 1, 3, 4, 5, 0]) + g = PermutationGroup([a, b]).generate(af=True) + assert len(list(g)) == 360 + + +def test_order(): + a = Permutation([2, 0, 1, 3, 4, 5, 6, 7, 8, 9]) + b = Permutation([2, 1, 3, 4, 5, 6, 7, 8, 9, 0]) + g = PermutationGroup([a, b]) + assert g.order() == 1814400 + assert PermutationGroup().order() == 1 + + +def test_equality(): + p_1 = Permutation(0, 1, 3) + p_2 = Permutation(0, 2, 3) + p_3 = Permutation(0, 1, 2) + p_4 = Permutation(0, 1, 3) + g_1 = PermutationGroup(p_1, p_2) + g_2 = PermutationGroup(p_3, p_4) + g_3 = PermutationGroup(p_2, p_1) + g_4 = PermutationGroup(p_1, p_2) + + assert g_1 != g_2 + assert g_1.generators != g_2.generators + assert g_1.equals(g_2) + assert g_1 != g_3 + assert g_1.equals(g_3) + assert g_1 == g_4 + + +def test_stabilizer(): + S = SymmetricGroup(2) + H = S.stabilizer(0) + assert H.generators == [Permutation(1)] + a = Permutation([2, 0, 1, 3, 4, 5]) + b = Permutation([2, 1, 3, 4, 5, 0]) + G = PermutationGroup([a, b]) + G0 = G.stabilizer(0) + assert G0.order() == 60 + + gens_cube = [[1, 3, 5, 7, 0, 2, 4, 6], [1, 3, 0, 2, 5, 7, 4, 6]] + gens = [Permutation(p) for p in gens_cube] + G = PermutationGroup(gens) + G2 = G.stabilizer(2) + assert G2.order() == 6 + G2_1 = G2.stabilizer(1) + v = list(G2_1.generate(af=True)) + assert v == [[0, 1, 2, 3, 4, 5, 6, 7], [3, 1, 2, 0, 7, 5, 6, 4]] + + gens = ( + (1, 2, 0, 4, 5, 3, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19), + (0, 1, 2, 3, 4, 5, 19, 6, 8, 9, 10, 11, 12, 13, 14, + 15, 16, 7, 17, 18), + (0, 1, 2, 3, 4, 5, 6, 7, 9, 18, 16, 11, 12, 13, 14, 15, 8, 17, 10, 19)) + gens = [Permutation(p) for p in gens] + G = PermutationGroup(gens) + G2 = G.stabilizer(2) + assert G2.order() == 181440 + S = SymmetricGroup(3) + assert [G.order() for G in S.basic_stabilizers] == [6, 2] + + +def test_center(): + # the center of the dihedral group D_n is of order 2 for even n + for i in (4, 6, 10): + D = DihedralGroup(i) + assert (D.center()).order() == 2 + # the center of the dihedral group D_n is of order 1 for odd n>2 + for i in (3, 5, 7): + D = DihedralGroup(i) + assert (D.center()).order() == 1 + # the center of an abelian group is the group itself + for i in (2, 3, 5): + for j in (1, 5, 7): + for k in (1, 1, 11): + G = AbelianGroup(i, j, k) + assert G.center().is_subgroup(G) + # the center of a nonabelian simple group is trivial + for i in(1, 5, 9): + A = AlternatingGroup(i) + assert (A.center()).order() == 1 + # brute-force verifications + D = DihedralGroup(5) + A = AlternatingGroup(3) + C = CyclicGroup(4) + G.is_subgroup(D*A*C) + assert _verify_centralizer(G, G) + + +def test_centralizer(): + # the centralizer of the trivial group is the entire group + S = SymmetricGroup(2) + assert S.centralizer(Permutation(list(range(2)))).is_subgroup(S) + A = AlternatingGroup(5) + assert A.centralizer(Permutation(list(range(5)))).is_subgroup(A) + # a centralizer in the trivial group is the trivial group itself + triv = PermutationGroup([Permutation([0, 1, 2, 3])]) + D = DihedralGroup(4) + assert triv.centralizer(D).is_subgroup(triv) + # brute-force verifications for centralizers of groups + for i in (4, 5, 6): + S = SymmetricGroup(i) + A = AlternatingGroup(i) + C = CyclicGroup(i) + D = DihedralGroup(i) + for gp in (S, A, C, D): + for gp2 in (S, A, C, D): + if not gp2.is_subgroup(gp): + assert _verify_centralizer(gp, gp2) + # verify the centralizer for all elements of several groups + S = SymmetricGroup(5) + elements = list(S.generate_dimino()) + for element in elements: + assert _verify_centralizer(S, element) + A = AlternatingGroup(5) + elements = list(A.generate_dimino()) + for element in elements: + assert _verify_centralizer(A, element) + D = DihedralGroup(7) + elements = list(D.generate_dimino()) + for element in elements: + assert _verify_centralizer(D, element) + # verify centralizers of small groups within small groups + small = [] + for i in (1, 2, 3): + small.append(SymmetricGroup(i)) + small.append(AlternatingGroup(i)) + small.append(DihedralGroup(i)) + small.append(CyclicGroup(i)) + for gp in small: + for gp2 in small: + if gp.degree == gp2.degree: + assert _verify_centralizer(gp, gp2) + + +def test_coset_rank(): + gens_cube = [[1, 3, 5, 7, 0, 2, 4, 6], [1, 3, 0, 2, 5, 7, 4, 6]] + gens = [Permutation(p) for p in gens_cube] + G = PermutationGroup(gens) + i = 0 + for h in G.generate(af=True): + rk = G.coset_rank(h) + assert rk == i + h1 = G.coset_unrank(rk, af=True) + assert h == h1 + i += 1 + assert G.coset_unrank(48) is None + assert G.coset_unrank(G.coset_rank(gens[0])) == gens[0] + + +def test_coset_factor(): + a = Permutation([0, 2, 1]) + G = PermutationGroup([a]) + c = Permutation([2, 1, 0]) + assert not G.coset_factor(c) + assert G.coset_rank(c) is None + + a = Permutation([2, 0, 1, 3, 4, 5]) + b = Permutation([2, 1, 3, 4, 5, 0]) + g = PermutationGroup([a, b]) + assert g.order() == 360 + d = Permutation([1, 0, 2, 3, 4, 5]) + assert not g.coset_factor(d.array_form) + assert not g.contains(d) + assert Permutation(2) in G + c = Permutation([1, 0, 2, 3, 5, 4]) + v = g.coset_factor(c, True) + tr = g.basic_transversals + p = Permutation.rmul(*[tr[i][v[i]] for i in range(len(g.base))]) + assert p == c + v = g.coset_factor(c) + p = Permutation.rmul(*v) + assert p == c + assert g.contains(c) + G = PermutationGroup([Permutation([2, 1, 0])]) + p = Permutation([1, 0, 2]) + assert G.coset_factor(p) == [] + + +def test_orbits(): + a = Permutation([2, 0, 1]) + b = Permutation([2, 1, 0]) + g = PermutationGroup([a, b]) + assert g.orbit(0) == {0, 1, 2} + assert g.orbits() == [{0, 1, 2}] + assert g.is_transitive() and g.is_transitive(strict=False) + assert g.orbit_transversal(0) == \ + [Permutation( + [0, 1, 2]), Permutation([2, 0, 1]), Permutation([1, 2, 0])] + assert g.orbit_transversal(0, True) == \ + [(0, Permutation([0, 1, 2])), (2, Permutation([2, 0, 1])), + (1, Permutation([1, 2, 0]))] + + G = DihedralGroup(6) + transversal, slps = _orbit_transversal(G.degree, G.generators, 0, True, slp=True) + for i, t in transversal: + slp = slps[i] + w = G.identity + for s in slp: + w = G.generators[s]*w + assert w == t + + a = Permutation(list(range(1, 100)) + [0]) + G = PermutationGroup([a]) + assert [min(o) for o in G.orbits()] == [0] + G = PermutationGroup(rubik_cube_generators()) + assert [min(o) for o in G.orbits()] == [0, 1] + assert not G.is_transitive() and not G.is_transitive(strict=False) + G = PermutationGroup([Permutation(0, 1, 3), Permutation(3)(0, 1)]) + assert not G.is_transitive() and G.is_transitive(strict=False) + assert PermutationGroup( + Permutation(3)).is_transitive(strict=False) is False + + +def test_is_normal(): + gens_s5 = [Permutation(p) for p in [[1, 2, 3, 4, 0], [2, 1, 4, 0, 3]]] + G1 = PermutationGroup(gens_s5) + assert G1.order() == 120 + gens_a5 = [Permutation(p) for p in [[1, 0, 3, 2, 4], [2, 1, 4, 3, 0]]] + G2 = PermutationGroup(gens_a5) + assert G2.order() == 60 + assert G2.is_normal(G1) + gens3 = [Permutation(p) for p in [[2, 1, 3, 0, 4], [1, 2, 0, 3, 4]]] + G3 = PermutationGroup(gens3) + assert not G3.is_normal(G1) + assert G3.order() == 12 + G4 = G1.normal_closure(G3.generators) + assert G4.order() == 60 + gens5 = [Permutation(p) for p in [[1, 2, 3, 0, 4], [1, 2, 0, 3, 4]]] + G5 = PermutationGroup(gens5) + assert G5.order() == 24 + G6 = G1.normal_closure(G5.generators) + assert G6.order() == 120 + assert G1.is_subgroup(G6) + assert not G1.is_subgroup(G4) + assert G2.is_subgroup(G4) + I5 = PermutationGroup(Permutation(4)) + assert I5.is_normal(G5) + assert I5.is_normal(G6, strict=False) + p1 = Permutation([1, 0, 2, 3, 4]) + p2 = Permutation([0, 1, 2, 4, 3]) + p3 = Permutation([3, 4, 2, 1, 0]) + id_ = Permutation([0, 1, 2, 3, 4]) + H = PermutationGroup([p1, p3]) + H_n1 = PermutationGroup([p1, p2]) + H_n2_1 = PermutationGroup(p1) + H_n2_2 = PermutationGroup(p2) + H_id = PermutationGroup(id_) + assert H_n1.is_normal(H) + assert H_n2_1.is_normal(H_n1) + assert H_n2_2.is_normal(H_n1) + assert H_id.is_normal(H_n2_1) + assert H_id.is_normal(H_n1) + assert H_id.is_normal(H) + assert not H_n2_1.is_normal(H) + assert not H_n2_2.is_normal(H) + + +def test_eq(): + a = [[1, 2, 0, 3, 4, 5], [1, 0, 2, 3, 4, 5], [2, 1, 0, 3, 4, 5], [ + 1, 2, 0, 3, 4, 5]] + a = [Permutation(p) for p in a + [[1, 2, 3, 4, 5, 0]]] + g = Permutation([1, 2, 3, 4, 5, 0]) + G1, G2, G3 = [PermutationGroup(x) for x in [a[:2], a[2:4], [g, g**2]]] + assert G1.order() == G2.order() == G3.order() == 6 + assert G1.is_subgroup(G2) + assert not G1.is_subgroup(G3) + G4 = PermutationGroup([Permutation([0, 1])]) + assert not G1.is_subgroup(G4) + assert G4.is_subgroup(G1, 0) + assert PermutationGroup(g, g).is_subgroup(PermutationGroup(g)) + assert SymmetricGroup(3).is_subgroup(SymmetricGroup(4), 0) + assert SymmetricGroup(3).is_subgroup(SymmetricGroup(3)*CyclicGroup(5), 0) + assert not CyclicGroup(5).is_subgroup(SymmetricGroup(3)*CyclicGroup(5), 0) + assert CyclicGroup(3).is_subgroup(SymmetricGroup(3)*CyclicGroup(5), 0) + + +def test_derived_subgroup(): + a = Permutation([1, 0, 2, 4, 3]) + b = Permutation([0, 1, 3, 2, 4]) + G = PermutationGroup([a, b]) + C = G.derived_subgroup() + assert C.order() == 3 + assert C.is_normal(G) + assert C.is_subgroup(G, 0) + assert not G.is_subgroup(C, 0) + gens_cube = [[1, 3, 5, 7, 0, 2, 4, 6], [1, 3, 0, 2, 5, 7, 4, 6]] + gens = [Permutation(p) for p in gens_cube] + G = PermutationGroup(gens) + C = G.derived_subgroup() + assert C.order() == 12 + + +def test_is_solvable(): + a = Permutation([1, 2, 0]) + b = Permutation([1, 0, 2]) + G = PermutationGroup([a, b]) + assert G.is_solvable + G = PermutationGroup([a]) + assert G.is_solvable + a = Permutation([1, 2, 3, 4, 0]) + b = Permutation([1, 0, 2, 3, 4]) + G = PermutationGroup([a, b]) + assert not G.is_solvable + P = SymmetricGroup(10) + S = P.sylow_subgroup(3) + assert S.is_solvable + +def test_rubik1(): + gens = rubik_cube_generators() + gens1 = [gens[-1]] + [p**2 for p in gens[1:]] + G1 = PermutationGroup(gens1) + assert G1.order() == 19508428800 + gens2 = [p**2 for p in gens] + G2 = PermutationGroup(gens2) + assert G2.order() == 663552 + assert G2.is_subgroup(G1, 0) + C1 = G1.derived_subgroup() + assert C1.order() == 4877107200 + assert C1.is_subgroup(G1, 0) + assert not G2.is_subgroup(C1, 0) + + G = RubikGroup(2) + assert G.order() == 3674160 + + +@XFAIL +def test_rubik(): + skip('takes too much time') + G = PermutationGroup(rubik_cube_generators()) + assert G.order() == 43252003274489856000 + G1 = PermutationGroup(G[:3]) + assert G1.order() == 170659735142400 + assert not G1.is_normal(G) + G2 = G.normal_closure(G1.generators) + assert G2.is_subgroup(G) + + +def test_direct_product(): + C = CyclicGroup(4) + D = DihedralGroup(4) + G = C*C*C + assert G.order() == 64 + assert G.degree == 12 + assert len(G.orbits()) == 3 + assert G.is_abelian is True + H = D*C + assert H.order() == 32 + assert H.is_abelian is False + + +def test_orbit_rep(): + G = DihedralGroup(6) + assert G.orbit_rep(1, 3) in [Permutation([2, 3, 4, 5, 0, 1]), + Permutation([4, 3, 2, 1, 0, 5])] + H = CyclicGroup(4)*G + assert H.orbit_rep(1, 5) is False + + +def test_schreier_vector(): + G = CyclicGroup(50) + v = [0]*50 + v[23] = -1 + assert G.schreier_vector(23) == v + H = DihedralGroup(8) + assert H.schreier_vector(2) == [0, 1, -1, 0, 0, 1, 0, 0] + L = SymmetricGroup(4) + assert L.schreier_vector(1) == [1, -1, 0, 0] + + +def test_random_pr(): + D = DihedralGroup(6) + r = 11 + n = 3 + _random_prec_n = {} + _random_prec_n[0] = {'s': 7, 't': 3, 'x': 2, 'e': -1} + _random_prec_n[1] = {'s': 5, 't': 5, 'x': 1, 'e': -1} + _random_prec_n[2] = {'s': 3, 't': 4, 'x': 2, 'e': 1} + D._random_pr_init(r, n, _random_prec_n=_random_prec_n) + assert D._random_gens[11] == [0, 1, 2, 3, 4, 5] + _random_prec = {'s': 2, 't': 9, 'x': 1, 'e': -1} + assert D.random_pr(_random_prec=_random_prec) == \ + Permutation([0, 5, 4, 3, 2, 1]) + + +def test_is_alt_sym(): + G = DihedralGroup(10) + assert G.is_alt_sym() is False + assert G._eval_is_alt_sym_naive() is False + assert G._eval_is_alt_sym_naive(only_alt=True) is False + assert G._eval_is_alt_sym_naive(only_sym=True) is False + + S = SymmetricGroup(10) + assert S._eval_is_alt_sym_naive() is True + assert S._eval_is_alt_sym_naive(only_alt=True) is False + assert S._eval_is_alt_sym_naive(only_sym=True) is True + + N_eps = 10 + _random_prec = {'N_eps': N_eps, + 0: Permutation([[2], [1, 4], [0, 6, 7, 8, 9, 3, 5]]), + 1: Permutation([[1, 8, 7, 6, 3, 5, 2, 9], [0, 4]]), + 2: Permutation([[5, 8], [4, 7], [0, 1, 2, 3, 6, 9]]), + 3: Permutation([[3], [0, 8, 2, 7, 4, 1, 6, 9, 5]]), + 4: Permutation([[8], [4, 7, 9], [3, 6], [0, 5, 1, 2]]), + 5: Permutation([[6], [0, 2, 4, 5, 1, 8, 3, 9, 7]]), + 6: Permutation([[6, 9, 8], [4, 5], [1, 3, 7], [0, 2]]), + 7: Permutation([[4], [0, 2, 9, 1, 3, 8, 6, 5, 7]]), + 8: Permutation([[1, 5, 6, 3], [0, 2, 7, 8, 4, 9]]), + 9: Permutation([[8], [6, 7], [2, 3, 4, 5], [0, 1, 9]])} + assert S.is_alt_sym(_random_prec=_random_prec) is True + + A = AlternatingGroup(10) + assert A._eval_is_alt_sym_naive() is True + assert A._eval_is_alt_sym_naive(only_alt=True) is True + assert A._eval_is_alt_sym_naive(only_sym=True) is False + + _random_prec = {'N_eps': N_eps, + 0: Permutation([[1, 6, 4, 2, 7, 8, 5, 9, 3], [0]]), + 1: Permutation([[1], [0, 5, 8, 4, 9, 2, 3, 6, 7]]), + 2: Permutation([[1, 9, 8, 3, 2, 5], [0, 6, 7, 4]]), + 3: Permutation([[6, 8, 9], [4, 5], [1, 3, 7, 2], [0]]), + 4: Permutation([[8], [5], [4], [2, 6, 9, 3], [1], [0, 7]]), + 5: Permutation([[3, 6], [0, 8, 1, 7, 5, 9, 4, 2]]), + 6: Permutation([[5], [2, 9], [1, 8, 3], [0, 4, 7, 6]]), + 7: Permutation([[1, 8, 4, 7, 2, 3], [0, 6, 9, 5]]), + 8: Permutation([[5, 8, 7], [3], [1, 4, 2, 6], [0, 9]]), + 9: Permutation([[4, 9, 6], [3, 8], [1, 2], [0, 5, 7]])} + assert A.is_alt_sym(_random_prec=_random_prec) is False + + G = PermutationGroup( + Permutation(1, 3, size=8)(0, 2, 4, 6), + Permutation(5, 7, size=8)(0, 2, 4, 6)) + assert G.is_alt_sym() is False + + # Tests for monte-carlo c_n parameter setting, and which guarantees + # to give False. + G = DihedralGroup(10) + assert G._eval_is_alt_sym_monte_carlo() is False + G = DihedralGroup(20) + assert G._eval_is_alt_sym_monte_carlo() is False + + # A dry-running test to check if it looks up for the updated cache. + G = DihedralGroup(6) + G.is_alt_sym() + assert G.is_alt_sym() is False + + +def test_minimal_block(): + D = DihedralGroup(6) + block_system = D.minimal_block([0, 3]) + for i in range(3): + assert block_system[i] == block_system[i + 3] + S = SymmetricGroup(6) + assert S.minimal_block([0, 1]) == [0, 0, 0, 0, 0, 0] + + assert Tetra.pgroup.minimal_block([0, 1]) == [0, 0, 0, 0] + + P1 = PermutationGroup(Permutation(1, 5)(2, 4), Permutation(0, 1, 2, 3, 4, 5)) + P2 = PermutationGroup(Permutation(0, 1, 2, 3, 4, 5), Permutation(1, 5)(2, 4)) + assert P1.minimal_block([0, 2]) == [0, 1, 0, 1, 0, 1] + assert P2.minimal_block([0, 2]) == [0, 1, 0, 1, 0, 1] + + +def test_minimal_blocks(): + P = PermutationGroup(Permutation(1, 5)(2, 4), Permutation(0, 1, 2, 3, 4, 5)) + assert P.minimal_blocks() == [[0, 1, 0, 1, 0, 1], [0, 1, 2, 0, 1, 2]] + + P = SymmetricGroup(5) + assert P.minimal_blocks() == [[0]*5] + + P = PermutationGroup(Permutation(0, 3)) + assert P.minimal_blocks() is False + + +def test_max_div(): + S = SymmetricGroup(10) + assert S.max_div == 5 + + +def test_is_primitive(): + S = SymmetricGroup(5) + assert S.is_primitive() is True + C = CyclicGroup(7) + assert C.is_primitive() is True + + a = Permutation(0, 1, 2, size=6) + b = Permutation(3, 4, 5, size=6) + G = PermutationGroup(a, b) + assert G.is_primitive() is False + + +def test_random_stab(): + S = SymmetricGroup(5) + _random_el = Permutation([1, 3, 2, 0, 4]) + _random_prec = {'rand': _random_el} + g = S.random_stab(2, _random_prec=_random_prec) + assert g == Permutation([1, 3, 2, 0, 4]) + h = S.random_stab(1) + assert h(1) == 1 + + +def test_transitivity_degree(): + perm = Permutation([1, 2, 0]) + C = PermutationGroup([perm]) + assert C.transitivity_degree == 1 + gen1 = Permutation([1, 2, 0, 3, 4]) + gen2 = Permutation([1, 2, 3, 4, 0]) + # alternating group of degree 5 + Alt = PermutationGroup([gen1, gen2]) + assert Alt.transitivity_degree == 3 + + +def test_schreier_sims_random(): + assert sorted(Tetra.pgroup.base) == [0, 1] + + S = SymmetricGroup(3) + base = [0, 1] + strong_gens = [Permutation([1, 2, 0]), Permutation([1, 0, 2]), + Permutation([0, 2, 1])] + assert S.schreier_sims_random(base, strong_gens, 5) == (base, strong_gens) + D = DihedralGroup(3) + _random_prec = {'g': [Permutation([2, 0, 1]), Permutation([1, 2, 0]), + Permutation([1, 0, 2])]} + base = [0, 1] + strong_gens = [Permutation([1, 2, 0]), Permutation([2, 1, 0]), + Permutation([0, 2, 1])] + assert D.schreier_sims_random([], D.generators, 2, + _random_prec=_random_prec) == (base, strong_gens) + + +def test_baseswap(): + S = SymmetricGroup(4) + S.schreier_sims() + base = S.base + strong_gens = S.strong_gens + assert base == [0, 1, 2] + deterministic = S.baseswap(base, strong_gens, 1, randomized=False) + randomized = S.baseswap(base, strong_gens, 1) + assert deterministic[0] == [0, 2, 1] + assert _verify_bsgs(S, deterministic[0], deterministic[1]) is True + assert randomized[0] == [0, 2, 1] + assert _verify_bsgs(S, randomized[0], randomized[1]) is True + + +def test_schreier_sims_incremental(): + identity = Permutation([0, 1, 2, 3, 4]) + TrivialGroup = PermutationGroup([identity]) + base, strong_gens = TrivialGroup.schreier_sims_incremental(base=[0, 1, 2]) + assert _verify_bsgs(TrivialGroup, base, strong_gens) is True + S = SymmetricGroup(5) + base, strong_gens = S.schreier_sims_incremental(base=[0, 1, 2]) + assert _verify_bsgs(S, base, strong_gens) is True + D = DihedralGroup(2) + base, strong_gens = D.schreier_sims_incremental(base=[1]) + assert _verify_bsgs(D, base, strong_gens) is True + A = AlternatingGroup(7) + gens = A.generators[:] + gen0 = gens[0] + gen1 = gens[1] + gen1 = rmul(gen1, ~gen0) + gen0 = rmul(gen0, gen1) + gen1 = rmul(gen0, gen1) + base, strong_gens = A.schreier_sims_incremental(base=[0, 1], gens=gens) + assert _verify_bsgs(A, base, strong_gens) is True + C = CyclicGroup(11) + gen = C.generators[0] + base, strong_gens = C.schreier_sims_incremental(gens=[gen**3]) + assert _verify_bsgs(C, base, strong_gens) is True + + +def _subgroup_search(i, j, k): + prop_true = lambda x: True + prop_fix_points = lambda x: [x(point) for point in points] == points + prop_comm_g = lambda x: rmul(x, g) == rmul(g, x) + prop_even = lambda x: x.is_even + for i in range(i, j, k): + S = SymmetricGroup(i) + A = AlternatingGroup(i) + C = CyclicGroup(i) + Sym = S.subgroup_search(prop_true) + assert Sym.is_subgroup(S) + Alt = S.subgroup_search(prop_even) + assert Alt.is_subgroup(A) + Sym = S.subgroup_search(prop_true, init_subgroup=C) + assert Sym.is_subgroup(S) + points = [7] + assert S.stabilizer(7).is_subgroup(S.subgroup_search(prop_fix_points)) + points = [3, 4] + assert S.stabilizer(3).stabilizer(4).is_subgroup( + S.subgroup_search(prop_fix_points)) + points = [3, 5] + fix35 = A.subgroup_search(prop_fix_points) + points = [5] + fix5 = A.subgroup_search(prop_fix_points) + assert A.subgroup_search(prop_fix_points, init_subgroup=fix35 + ).is_subgroup(fix5) + base, strong_gens = A.schreier_sims_incremental() + g = A.generators[0] + comm_g = \ + A.subgroup_search(prop_comm_g, base=base, strong_gens=strong_gens) + assert _verify_bsgs(comm_g, base, comm_g.generators) is True + assert [prop_comm_g(gen) is True for gen in comm_g.generators] + + +def test_subgroup_search(): + _subgroup_search(10, 15, 2) + + +@XFAIL +def test_subgroup_search2(): + skip('takes too much time') + _subgroup_search(16, 17, 1) + + +def test_normal_closure(): + # the normal closure of the trivial group is trivial + S = SymmetricGroup(3) + identity = Permutation([0, 1, 2]) + closure = S.normal_closure(identity) + assert closure.is_trivial + # the normal closure of the entire group is the entire group + A = AlternatingGroup(4) + assert A.normal_closure(A).is_subgroup(A) + # brute-force verifications for subgroups + for i in (3, 4, 5): + S = SymmetricGroup(i) + A = AlternatingGroup(i) + D = DihedralGroup(i) + C = CyclicGroup(i) + for gp in (A, D, C): + assert _verify_normal_closure(S, gp) + # brute-force verifications for all elements of a group + S = SymmetricGroup(5) + elements = list(S.generate_dimino()) + for element in elements: + assert _verify_normal_closure(S, element) + # small groups + small = [] + for i in (1, 2, 3): + small.append(SymmetricGroup(i)) + small.append(AlternatingGroup(i)) + small.append(DihedralGroup(i)) + small.append(CyclicGroup(i)) + for gp in small: + for gp2 in small: + if gp2.is_subgroup(gp, 0) and gp2.degree == gp.degree: + assert _verify_normal_closure(gp, gp2) + + +def test_derived_series(): + # the derived series of the trivial group consists only of the trivial group + triv = PermutationGroup([Permutation([0, 1, 2])]) + assert triv.derived_series()[0].is_subgroup(triv) + # the derived series for a simple group consists only of the group itself + for i in (5, 6, 7): + A = AlternatingGroup(i) + assert A.derived_series()[0].is_subgroup(A) + # the derived series for S_4 is S_4 > A_4 > K_4 > triv + S = SymmetricGroup(4) + series = S.derived_series() + assert series[1].is_subgroup(AlternatingGroup(4)) + assert series[2].is_subgroup(DihedralGroup(2)) + assert series[3].is_trivial + + +def test_lower_central_series(): + # the lower central series of the trivial group consists of the trivial + # group + triv = PermutationGroup([Permutation([0, 1, 2])]) + assert triv.lower_central_series()[0].is_subgroup(triv) + # the lower central series of a simple group consists of the group itself + for i in (5, 6, 7): + A = AlternatingGroup(i) + assert A.lower_central_series()[0].is_subgroup(A) + # GAP-verified example + S = SymmetricGroup(6) + series = S.lower_central_series() + assert len(series) == 2 + assert series[1].is_subgroup(AlternatingGroup(6)) + + +def test_commutator(): + # the commutator of the trivial group and the trivial group is trivial + S = SymmetricGroup(3) + triv = PermutationGroup([Permutation([0, 1, 2])]) + assert S.commutator(triv, triv).is_subgroup(triv) + # the commutator of the trivial group and any other group is again trivial + A = AlternatingGroup(3) + assert S.commutator(triv, A).is_subgroup(triv) + # the commutator is commutative + for i in (3, 4, 5): + S = SymmetricGroup(i) + A = AlternatingGroup(i) + D = DihedralGroup(i) + assert S.commutator(A, D).is_subgroup(S.commutator(D, A)) + # the commutator of an abelian group is trivial + S = SymmetricGroup(7) + A1 = AbelianGroup(2, 5) + A2 = AbelianGroup(3, 4) + triv = PermutationGroup([Permutation([0, 1, 2, 3, 4, 5, 6])]) + assert S.commutator(A1, A1).is_subgroup(triv) + assert S.commutator(A2, A2).is_subgroup(triv) + # examples calculated by hand + S = SymmetricGroup(3) + A = AlternatingGroup(3) + assert S.commutator(A, S).is_subgroup(A) + + +def test_is_nilpotent(): + # every abelian group is nilpotent + for i in (1, 2, 3): + C = CyclicGroup(i) + Ab = AbelianGroup(i, i + 2) + assert C.is_nilpotent + assert Ab.is_nilpotent + Ab = AbelianGroup(5, 7, 10) + assert Ab.is_nilpotent + # A_5 is not solvable and thus not nilpotent + assert AlternatingGroup(5).is_nilpotent is False + + +def test_is_trivial(): + for i in range(5): + triv = PermutationGroup([Permutation(list(range(i)))]) + assert triv.is_trivial + + +def test_pointwise_stabilizer(): + S = SymmetricGroup(2) + stab = S.pointwise_stabilizer([0]) + assert stab.generators == [Permutation(1)] + S = SymmetricGroup(5) + points = [] + stab = S + for point in (2, 0, 3, 4, 1): + stab = stab.stabilizer(point) + points.append(point) + assert S.pointwise_stabilizer(points).is_subgroup(stab) + + +def test_make_perm(): + assert cube.pgroup.make_perm(5, seed=list(range(5))) == \ + Permutation([4, 7, 6, 5, 0, 3, 2, 1]) + assert cube.pgroup.make_perm(7, seed=list(range(7))) == \ + Permutation([6, 7, 3, 2, 5, 4, 0, 1]) + + +def test_elements(): + from sympy.sets.sets import FiniteSet + + p = Permutation(2, 3) + assert set(PermutationGroup(p).elements) == {Permutation(3), Permutation(2, 3)} + assert FiniteSet(*PermutationGroup(p).elements) \ + == FiniteSet(Permutation(2, 3), Permutation(3)) + + +def test_is_group(): + assert PermutationGroup(Permutation(1,2), Permutation(2,4)).is_group is True + assert SymmetricGroup(4).is_group is True + + +def test_PermutationGroup(): + assert PermutationGroup() == PermutationGroup(Permutation()) + assert (PermutationGroup() == 0) is False + + +def test_coset_transvesal(): + G = AlternatingGroup(5) + H = PermutationGroup(Permutation(0,1,2),Permutation(1,2)(3,4)) + assert G.coset_transversal(H) == \ + [Permutation(4), Permutation(2, 3, 4), Permutation(2, 4, 3), + Permutation(1, 2, 4), Permutation(4)(1, 2, 3), Permutation(1, 3)(2, 4), + Permutation(0, 1, 2, 3, 4), Permutation(0, 1, 2, 4, 3), + Permutation(0, 1, 3, 2, 4), Permutation(0, 2, 4, 1, 3)] + + +def test_coset_table(): + G = PermutationGroup(Permutation(0,1,2,3), Permutation(0,1,2), + Permutation(0,4,2,7), Permutation(5,6), Permutation(0,7)) + H = PermutationGroup(Permutation(0,1,2,3), Permutation(0,7)) + assert G.coset_table(H) == \ + [[0, 0, 0, 0, 1, 2, 3, 3, 0, 0], [4, 5, 2, 5, 6, 0, 7, 7, 1, 1], + [5, 4, 5, 1, 0, 6, 8, 8, 6, 6], [3, 3, 3, 3, 7, 8, 0, 0, 3, 3], + [2, 1, 4, 4, 4, 4, 9, 9, 4, 4], [1, 2, 1, 2, 5, 5, 10, 10, 5, 5], + [6, 6, 6, 6, 2, 1, 11, 11, 2, 2], [9, 10, 8, 10, 11, 3, 1, 1, 7, 7], + [10, 9, 10, 7, 3, 11, 2, 2, 11, 11], [8, 7, 9, 9, 9, 9, 4, 4, 9, 9], + [7, 8, 7, 8, 10, 10, 5, 5, 10, 10], [11, 11, 11, 11, 8, 7, 6, 6, 8, 8]] + + +def test_subgroup(): + G = PermutationGroup(Permutation(0,1,2), Permutation(0,2,3)) + H = G.subgroup([Permutation(0,1,3)]) + assert H.is_subgroup(G) + + +def test_generator_product(): + G = SymmetricGroup(5) + p = Permutation(0, 2, 3)(1, 4) + gens = G.generator_product(p) + assert all(g in G.strong_gens for g in gens) + w = G.identity + for g in gens: + w = g*w + assert w == p + + +def test_sylow_subgroup(): + P = PermutationGroup(Permutation(1, 5)(2, 4), Permutation(0, 1, 2, 3, 4, 5)) + S = P.sylow_subgroup(2) + assert S.order() == 4 + + P = DihedralGroup(12) + S = P.sylow_subgroup(3) + assert S.order() == 3 + + P = PermutationGroup( + Permutation(1, 5)(2, 4), Permutation(0, 1, 2, 3, 4, 5), Permutation(0, 2)) + S = P.sylow_subgroup(3) + assert S.order() == 9 + S = P.sylow_subgroup(2) + assert S.order() == 8 + + P = SymmetricGroup(10) + S = P.sylow_subgroup(2) + assert S.order() == 256 + S = P.sylow_subgroup(3) + assert S.order() == 81 + S = P.sylow_subgroup(5) + assert S.order() == 25 + + # the length of the lower central series + # of a p-Sylow subgroup of Sym(n) grows with + # the highest exponent exp of p such + # that n >= p**exp + exp = 1 + length = 0 + for i in range(2, 9): + P = SymmetricGroup(i) + S = P.sylow_subgroup(2) + ls = S.lower_central_series() + if i // 2**exp > 0: + # length increases with exponent + assert len(ls) > length + length = len(ls) + exp += 1 + else: + assert len(ls) == length + + G = SymmetricGroup(100) + S = G.sylow_subgroup(3) + assert G.order() % S.order() == 0 + assert G.order()/S.order() % 3 > 0 + + G = AlternatingGroup(100) + S = G.sylow_subgroup(2) + assert G.order() % S.order() == 0 + assert G.order()/S.order() % 2 > 0 + + G = DihedralGroup(18) + S = G.sylow_subgroup(p=2) + assert S.order() == 4 + + G = DihedralGroup(50) + S = G.sylow_subgroup(p=2) + assert S.order() == 4 + + +@slow +def test_presentation(): + def _test(P): + G = P.presentation() + return G.order() == P.order() + + def _strong_test(P): + G = P.strong_presentation() + chk = len(G.generators) == len(P.strong_gens) + return chk and G.order() == P.order() + + P = PermutationGroup(Permutation(0,1,5,2)(3,7,4,6), Permutation(0,3,5,4)(1,6,2,7)) + assert _test(P) + + P = AlternatingGroup(5) + assert _test(P) + + P = SymmetricGroup(5) + assert _test(P) + + P = PermutationGroup( + [Permutation(0,3,1,2), Permutation(3)(0,1), Permutation(0,1)(2,3)]) + assert _strong_test(P) + + P = DihedralGroup(6) + assert _strong_test(P) + + a = Permutation(0,1)(2,3) + b = Permutation(0,2)(3,1) + c = Permutation(4,5) + P = PermutationGroup(c, a, b) + assert _strong_test(P) + + +def test_polycyclic(): + a = Permutation([0, 1, 2]) + b = Permutation([2, 1, 0]) + G = PermutationGroup([a, b]) + assert G.is_polycyclic is True + + a = Permutation([1, 2, 3, 4, 0]) + b = Permutation([1, 0, 2, 3, 4]) + G = PermutationGroup([a, b]) + assert G.is_polycyclic is False + + +def test_elementary(): + a = Permutation([1, 5, 2, 0, 3, 6, 4]) + G = PermutationGroup([a]) + assert G.is_elementary(7) is False + + a = Permutation(0, 1)(2, 3) + b = Permutation(0, 2)(3, 1) + G = PermutationGroup([a, b]) + assert G.is_elementary(2) is True + c = Permutation(4, 5, 6) + G = PermutationGroup([a, b, c]) + assert G.is_elementary(2) is False + + G = SymmetricGroup(4).sylow_subgroup(2) + assert G.is_elementary(2) is False + H = AlternatingGroup(4).sylow_subgroup(2) + assert H.is_elementary(2) is True + + +def test_perfect(): + G = AlternatingGroup(3) + assert G.is_perfect is False + G = AlternatingGroup(5) + assert G.is_perfect is True + + +def test_index(): + G = PermutationGroup(Permutation(0,1,2), Permutation(0,2,3)) + H = G.subgroup([Permutation(0,1,3)]) + assert G.index(H) == 4 + + +def test_cyclic(): + G = SymmetricGroup(2) + assert G.is_cyclic + G = AbelianGroup(3, 7) + assert G.is_cyclic + G = AbelianGroup(7, 7) + assert not G.is_cyclic + G = AlternatingGroup(3) + assert G.is_cyclic + G = AlternatingGroup(4) + assert not G.is_cyclic + + # Order less than 6 + G = PermutationGroup(Permutation(0, 1, 2), Permutation(0, 2, 1)) + assert G.is_cyclic + G = PermutationGroup( + Permutation(0, 1, 2, 3), + Permutation(0, 2)(1, 3) + ) + assert G.is_cyclic + G = PermutationGroup( + Permutation(3), + Permutation(0, 1)(2, 3), + Permutation(0, 2)(1, 3), + Permutation(0, 3)(1, 2) + ) + assert G.is_cyclic is False + + # Order 15 + G = PermutationGroup( + Permutation(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14), + Permutation(0, 2, 4, 6, 8, 10, 12, 14, 1, 3, 5, 7, 9, 11, 13) + ) + assert G.is_cyclic + + # Distinct prime orders + assert PermutationGroup._distinct_primes_lemma([3, 5]) is True + assert PermutationGroup._distinct_primes_lemma([5, 7]) is True + assert PermutationGroup._distinct_primes_lemma([2, 3]) is None + assert PermutationGroup._distinct_primes_lemma([3, 5, 7]) is None + assert PermutationGroup._distinct_primes_lemma([5, 7, 13]) is True + + G = PermutationGroup( + Permutation(0, 1, 2, 3), + Permutation(0, 2)(1, 3)) + assert G.is_cyclic + assert G._is_abelian + + # Non-abelian and therefore not cyclic + G = PermutationGroup(*SymmetricGroup(3).generators) + assert G.is_cyclic is False + + # Abelian and cyclic + G = PermutationGroup( + Permutation(0, 1, 2, 3), + Permutation(4, 5, 6) + ) + assert G.is_cyclic + + # Abelian but not cyclic + G = PermutationGroup( + Permutation(0, 1), + Permutation(2, 3), + Permutation(4, 5, 6) + ) + assert G.is_cyclic is False + + +def test_dihedral(): + G = SymmetricGroup(2) + assert G.is_dihedral + G = SymmetricGroup(3) + assert G.is_dihedral + + G = AbelianGroup(2, 2) + assert G.is_dihedral + G = CyclicGroup(4) + assert not G.is_dihedral + + G = AbelianGroup(3, 5) + assert not G.is_dihedral + G = AbelianGroup(2) + assert G.is_dihedral + G = AbelianGroup(6) + assert not G.is_dihedral + + # D6, generated by two adjacent flips + G = PermutationGroup( + Permutation(1, 5)(2, 4), + Permutation(0, 1)(3, 4)(2, 5)) + assert G.is_dihedral + + # D7, generated by a flip and a rotation + G = PermutationGroup( + Permutation(1, 6)(2, 5)(3, 4), + Permutation(0, 1, 2, 3, 4, 5, 6)) + assert G.is_dihedral + + # S4, presented by three generators, fails due to having exactly 9 + # elements of order 2: + G = PermutationGroup( + Permutation(0, 1), Permutation(0, 2), + Permutation(0, 3)) + assert not G.is_dihedral + + # D7, given by three generators + G = PermutationGroup( + Permutation(1, 6)(2, 5)(3, 4), + Permutation(2, 0)(3, 6)(4, 5), + Permutation(0, 1, 2, 3, 4, 5, 6)) + assert G.is_dihedral + + +def test_abelian_invariants(): + G = AbelianGroup(2, 3, 4) + assert G.abelian_invariants() == [2, 3, 4] + G=PermutationGroup([Permutation(1, 2, 3, 4), Permutation(1, 2), Permutation(5, 6)]) + assert G.abelian_invariants() == [2, 2] + G = AlternatingGroup(7) + assert G.abelian_invariants() == [] + G = AlternatingGroup(4) + assert G.abelian_invariants() == [3] + G = DihedralGroup(4) + assert G.abelian_invariants() == [2, 2] + + G = PermutationGroup([Permutation(1, 2, 3, 4, 5, 6, 7)]) + assert G.abelian_invariants() == [7] + G = DihedralGroup(12) + S = G.sylow_subgroup(3) + assert S.abelian_invariants() == [3] + G = PermutationGroup(Permutation(0, 1, 2), Permutation(0, 2, 3)) + assert G.abelian_invariants() == [3] + G = PermutationGroup([Permutation(0, 1), Permutation(0, 2, 4, 6)(1, 3, 5, 7)]) + assert G.abelian_invariants() == [2, 4] + G = SymmetricGroup(30) + S = G.sylow_subgroup(2) + assert S.abelian_invariants() == [2, 2, 2, 2, 2, 2, 2, 2, 2, 2] + S = G.sylow_subgroup(3) + assert S.abelian_invariants() == [3, 3, 3, 3] + S = G.sylow_subgroup(5) + assert S.abelian_invariants() == [5, 5, 5] + + +def test_composition_series(): + a = Permutation(1, 2, 3) + b = Permutation(1, 2) + G = PermutationGroup([a, b]) + comp_series = G.composition_series() + assert comp_series == G.derived_series() + # The first group in the composition series is always the group itself and + # the last group in the series is the trivial group. + S = SymmetricGroup(4) + assert S.composition_series()[0] == S + assert len(S.composition_series()) == 5 + A = AlternatingGroup(4) + assert A.composition_series()[0] == A + assert len(A.composition_series()) == 4 + + # the composition series for C_8 is C_8 > C_4 > C_2 > triv + G = CyclicGroup(8) + series = G.composition_series() + assert is_isomorphic(series[1], CyclicGroup(4)) + assert is_isomorphic(series[2], CyclicGroup(2)) + assert series[3].is_trivial + + +def test_is_symmetric(): + a = Permutation(0, 1, 2) + b = Permutation(0, 1, size=3) + assert PermutationGroup(a, b).is_symmetric is True + + a = Permutation(0, 2, 1) + b = Permutation(1, 2, size=3) + assert PermutationGroup(a, b).is_symmetric is True + + a = Permutation(0, 1, 2, 3) + b = Permutation(0, 3)(1, 2) + assert PermutationGroup(a, b).is_symmetric is False + +def test_conjugacy_class(): + S = SymmetricGroup(4) + x = Permutation(1, 2, 3) + C = {Permutation(0, 1, 2, size = 4), Permutation(0, 1, 3), + Permutation(0, 2, 1, size = 4), Permutation(0, 2, 3), + Permutation(0, 3, 1), Permutation(0, 3, 2), + Permutation(1, 2, 3), Permutation(1, 3, 2)} + assert S.conjugacy_class(x) == C + +def test_conjugacy_classes(): + S = SymmetricGroup(3) + expected = [{Permutation(size = 3)}, + {Permutation(0, 1, size = 3), Permutation(0, 2), Permutation(1, 2)}, + {Permutation(0, 1, 2), Permutation(0, 2, 1)}] + computed = S.conjugacy_classes() + + assert len(expected) == len(computed) + assert all(e in computed for e in expected) + +def test_coset_class(): + a = Permutation(1, 2) + b = Permutation(0, 1) + G = PermutationGroup([a, b]) + #Creating right coset + rht_coset = G*a + #Checking whether it is left coset or right coset + assert rht_coset.is_right_coset + assert not rht_coset.is_left_coset + #Creating list representation of coset + list_repr = rht_coset.as_list() + expected = [Permutation(0, 2), Permutation(0, 2, 1), Permutation(1, 2), + Permutation(2), Permutation(2)(0, 1), Permutation(0, 1, 2)] + for ele in list_repr: + assert ele in expected + #Creating left coset + left_coset = a*G + #Checking whether it is left coset or right coset + assert not left_coset.is_right_coset + assert left_coset.is_left_coset + #Creating list representation of Coset + list_repr = left_coset.as_list() + expected = [Permutation(2)(0, 1), Permutation(0, 1, 2), Permutation(1, 2), + Permutation(2), Permutation(0, 2), Permutation(0, 2, 1)] + for ele in list_repr: + assert ele in expected + + G = PermutationGroup(Permutation(1, 2, 3, 4), Permutation(2, 3, 4)) + H = PermutationGroup(Permutation(1, 2, 3, 4)) + g = Permutation(1, 3)(2, 4) + rht_coset = Coset(g, H, G, dir='+') + assert rht_coset.is_right_coset + list_repr = rht_coset.as_list() + expected = [Permutation(1, 2, 3, 4), Permutation(4), Permutation(1, 3)(2, 4), + Permutation(1, 4, 3, 2)] + for ele in list_repr: + assert ele in expected + +def test_symmetricpermutationgroup(): + a = SymmetricPermutationGroup(5) + assert a.degree == 5 + assert a.order() == 120 + assert a.identity() == Permutation(4) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_permutations.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_permutations.py new file mode 100644 index 0000000000000000000000000000000000000000..b52fcfec0e2fb3be872efaa814077760e121c748 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_permutations.py @@ -0,0 +1,564 @@ +from itertools import permutations +from copy import copy + +from sympy.core.expr import unchanged +from sympy.core.numbers import Integer +from sympy.core.relational import Eq +from sympy.core.symbol import Symbol +from sympy.core.singleton import S +from sympy.combinatorics.permutations import \ + Permutation, _af_parity, _af_rmul, _af_rmuln, AppliedPermutation, Cycle +from sympy.printing import sstr, srepr, pretty, latex +from sympy.testing.pytest import raises, warns_deprecated_sympy + + +rmul = Permutation.rmul +a = Symbol('a', integer=True) + + +def test_Permutation(): + # don't auto fill 0 + raises(ValueError, lambda: Permutation([1])) + p = Permutation([0, 1, 2, 3]) + # call as bijective + assert [p(i) for i in range(p.size)] == list(p) + # call as operator + assert p(list(range(p.size))) == list(p) + # call as function + assert list(p(1, 2)) == [0, 2, 1, 3] + raises(TypeError, lambda: p(-1)) + raises(TypeError, lambda: p(5)) + # conversion to list + assert list(p) == list(range(4)) + assert p.copy() == p + assert copy(p) == p + assert Permutation(size=4) == Permutation(3) + assert Permutation(Permutation(3), size=5) == Permutation(4) + # cycle form with size + assert Permutation([[1, 2]], size=4) == Permutation([[1, 2], [0], [3]]) + # random generation + assert Permutation.random(2) in (Permutation([1, 0]), Permutation([0, 1])) + + p = Permutation([2, 5, 1, 6, 3, 0, 4]) + q = Permutation([[1], [0, 3, 5, 6, 2, 4]]) + assert len({p, p}) == 1 + r = Permutation([1, 3, 2, 0, 4, 6, 5]) + ans = Permutation(_af_rmuln(*[w.array_form for w in (p, q, r)])).array_form + assert rmul(p, q, r).array_form == ans + # make sure no other permutation of p, q, r could have given + # that answer + for a, b, c in permutations((p, q, r)): + if (a, b, c) == (p, q, r): + continue + assert rmul(a, b, c).array_form != ans + + assert p.support() == list(range(7)) + assert q.support() == [0, 2, 3, 4, 5, 6] + assert Permutation(p.cyclic_form).array_form == p.array_form + assert p.cardinality == 5040 + assert q.cardinality == 5040 + assert q.cycles == 2 + assert rmul(q, p) == Permutation([4, 6, 1, 2, 5, 3, 0]) + assert rmul(p, q) == Permutation([6, 5, 3, 0, 2, 4, 1]) + assert _af_rmul(p.array_form, q.array_form) == \ + [6, 5, 3, 0, 2, 4, 1] + + assert rmul(Permutation([[1, 2, 3], [0, 4]]), + Permutation([[1, 2, 4], [0], [3]])).cyclic_form == \ + [[0, 4, 2], [1, 3]] + assert q.array_form == [3, 1, 4, 5, 0, 6, 2] + assert q.cyclic_form == [[0, 3, 5, 6, 2, 4]] + assert q.full_cyclic_form == [[0, 3, 5, 6, 2, 4], [1]] + assert p.cyclic_form == [[0, 2, 1, 5], [3, 6, 4]] + t = p.transpositions() + assert t == [(0, 5), (0, 1), (0, 2), (3, 4), (3, 6)] + assert Permutation.rmul(*[Permutation(Cycle(*ti)) for ti in (t)]) + assert Permutation([1, 0]).transpositions() == [(0, 1)] + + assert p**13 == p + assert q**0 == Permutation(list(range(q.size))) + assert q**-2 == ~q**2 + assert q**2 == Permutation([5, 1, 0, 6, 3, 2, 4]) + assert q**3 == q**2*q + assert q**4 == q**2*q**2 + + a = Permutation(1, 3) + b = Permutation(2, 0, 3) + I = Permutation(3) + assert ~a == a**-1 + assert a*~a == I + assert a*b**-1 == a*~b + + ans = Permutation(0, 5, 3, 1, 6)(2, 4) + assert (p + q.rank()).rank() == ans.rank() + assert (p + q.rank())._rank == ans.rank() + assert (q + p.rank()).rank() == ans.rank() + raises(TypeError, lambda: p + Permutation(list(range(10)))) + + assert (p - q.rank()).rank() == Permutation(0, 6, 3, 1, 2, 5, 4).rank() + assert p.rank() - q.rank() < 0 # for coverage: make sure mod is used + assert (q - p.rank()).rank() == Permutation(1, 4, 6, 2)(3, 5).rank() + + assert p*q == Permutation(_af_rmuln(*[list(w) for w in (q, p)])) + assert p*Permutation([]) == p + assert Permutation([])*p == p + assert p*Permutation([[0, 1]]) == Permutation([2, 5, 0, 6, 3, 1, 4]) + assert Permutation([[0, 1]])*p == Permutation([5, 2, 1, 6, 3, 0, 4]) + + pq = p ^ q + assert pq == Permutation([5, 6, 0, 4, 1, 2, 3]) + assert pq == rmul(q, p, ~q) + qp = q ^ p + assert qp == Permutation([4, 3, 6, 2, 1, 5, 0]) + assert qp == rmul(p, q, ~p) + raises(ValueError, lambda: p ^ Permutation([])) + + assert p.commutator(q) == Permutation(0, 1, 3, 4, 6, 5, 2) + assert q.commutator(p) == Permutation(0, 2, 5, 6, 4, 3, 1) + assert p.commutator(q) == ~q.commutator(p) + raises(ValueError, lambda: p.commutator(Permutation([]))) + + assert len(p.atoms()) == 7 + assert q.atoms() == {0, 1, 2, 3, 4, 5, 6} + + assert p.inversion_vector() == [2, 4, 1, 3, 1, 0] + assert q.inversion_vector() == [3, 1, 2, 2, 0, 1] + + assert Permutation.from_inversion_vector(p.inversion_vector()) == p + assert Permutation.from_inversion_vector(q.inversion_vector()).array_form\ + == q.array_form + raises(ValueError, lambda: Permutation.from_inversion_vector([0, 2])) + assert Permutation(list(range(500, -1, -1))).inversions() == 125250 + + s = Permutation([0, 4, 1, 3, 2]) + assert s.parity() == 0 + _ = s.cyclic_form # needed to create a value for _cyclic_form + assert len(s._cyclic_form) != s.size and s.parity() == 0 + assert not s.is_odd + assert s.is_even + assert Permutation([0, 1, 4, 3, 2]).parity() == 1 + assert _af_parity([0, 4, 1, 3, 2]) == 0 + assert _af_parity([0, 1, 4, 3, 2]) == 1 + + s = Permutation([0]) + + assert s.is_Singleton + assert Permutation([]).is_Empty + + r = Permutation([3, 2, 1, 0]) + assert (r**2).is_Identity + + assert rmul(~p, p).is_Identity + assert (~p)**13 == Permutation([5, 2, 0, 4, 6, 1, 3]) + assert p.max() == 6 + assert p.min() == 0 + + q = Permutation([[6], [5], [0, 1, 2, 3, 4]]) + + assert q.max() == 4 + assert q.min() == 0 + + p = Permutation([1, 5, 2, 0, 3, 6, 4]) + q = Permutation([[1, 2, 3, 5, 6], [0, 4]]) + + assert p.ascents() == [0, 3, 4] + assert q.ascents() == [1, 2, 4] + assert r.ascents() == [] + + assert p.descents() == [1, 2, 5] + assert q.descents() == [0, 3, 5] + assert Permutation(r.descents()).is_Identity + + assert p.inversions() == 7 + # test the merge-sort with a longer permutation + big = list(p) + list(range(p.max() + 1, p.max() + 130)) + assert Permutation(big).inversions() == 7 + assert p.signature() == -1 + assert q.inversions() == 11 + assert q.signature() == -1 + assert rmul(p, ~p).inversions() == 0 + assert rmul(p, ~p).signature() == 1 + + assert p.order() == 6 + assert q.order() == 10 + assert (p**(p.order())).is_Identity + + assert p.length() == 6 + assert q.length() == 7 + assert r.length() == 4 + + assert p.runs() == [[1, 5], [2], [0, 3, 6], [4]] + assert q.runs() == [[4], [2, 3, 5], [0, 6], [1]] + assert r.runs() == [[3], [2], [1], [0]] + + assert p.index() == 8 + assert q.index() == 8 + assert r.index() == 3 + + assert p.get_precedence_distance(q) == q.get_precedence_distance(p) + assert p.get_adjacency_distance(q) == p.get_adjacency_distance(q) + assert p.get_positional_distance(q) == p.get_positional_distance(q) + p = Permutation([0, 1, 2, 3]) + q = Permutation([3, 2, 1, 0]) + assert p.get_precedence_distance(q) == 6 + assert p.get_adjacency_distance(q) == 3 + assert p.get_positional_distance(q) == 8 + p = Permutation([0, 3, 1, 2, 4]) + q = Permutation.josephus(4, 5, 2) + assert p.get_adjacency_distance(q) == 3 + raises(ValueError, lambda: p.get_adjacency_distance(Permutation([]))) + raises(ValueError, lambda: p.get_positional_distance(Permutation([]))) + raises(ValueError, lambda: p.get_precedence_distance(Permutation([]))) + + a = [Permutation.unrank_nonlex(4, i) for i in range(5)] + iden = Permutation([0, 1, 2, 3]) + for i in range(5): + for j in range(i + 1, 5): + assert a[i].commutes_with(a[j]) == \ + (rmul(a[i], a[j]) == rmul(a[j], a[i])) + if a[i].commutes_with(a[j]): + assert a[i].commutator(a[j]) == iden + assert a[j].commutator(a[i]) == iden + + a = Permutation(3) + b = Permutation(0, 6, 3)(1, 2) + assert a.cycle_structure == {1: 4} + assert b.cycle_structure == {2: 1, 3: 1, 1: 2} + # issue 11130 + raises(ValueError, lambda: Permutation(3, size=3)) + raises(ValueError, lambda: Permutation([1, 2, 0, 3], size=3)) + + +def test_Permutation_subclassing(): + # Subclass that adds permutation application on iterables + class CustomPermutation(Permutation): + def __call__(self, *i): + try: + return super().__call__(*i) + except TypeError: + pass + + try: + perm_obj = i[0] + return [self._array_form[j] for j in perm_obj] + except TypeError: + raise TypeError('unrecognized argument') + + def __eq__(self, other): + if isinstance(other, Permutation): + return self._hashable_content() == other._hashable_content() + else: + return super().__eq__(other) + + def __hash__(self): + return super().__hash__() + + p = CustomPermutation([1, 2, 3, 0]) + q = Permutation([1, 2, 3, 0]) + + assert p == q + raises(TypeError, lambda: q([1, 2])) + assert [2, 3] == p([1, 2]) + + assert type(p * q) == CustomPermutation + assert type(q * p) == Permutation # True because q.__mul__(p) is called! + + # Run all tests for the Permutation class also on the subclass + def wrapped_test_Permutation(): + # Monkeypatch the class definition in the globals + globals()['__Perm'] = globals()['Permutation'] + globals()['Permutation'] = CustomPermutation + test_Permutation() + globals()['Permutation'] = globals()['__Perm'] # Restore + del globals()['__Perm'] + + wrapped_test_Permutation() + + +def test_josephus(): + assert Permutation.josephus(4, 6, 1) == Permutation([3, 1, 0, 2, 5, 4]) + assert Permutation.josephus(1, 5, 1).is_Identity + + +def test_ranking(): + assert Permutation.unrank_lex(5, 10).rank() == 10 + p = Permutation.unrank_lex(15, 225) + assert p.rank() == 225 + p1 = p.next_lex() + assert p1.rank() == 226 + assert Permutation.unrank_lex(15, 225).rank() == 225 + assert Permutation.unrank_lex(10, 0).is_Identity + p = Permutation.unrank_lex(4, 23) + assert p.rank() == 23 + assert p.array_form == [3, 2, 1, 0] + assert p.next_lex() is None + + p = Permutation([1, 5, 2, 0, 3, 6, 4]) + q = Permutation([[1, 2, 3, 5, 6], [0, 4]]) + a = [Permutation.unrank_trotterjohnson(4, i).array_form for i in range(5)] + assert a == [[0, 1, 2, 3], [0, 1, 3, 2], [0, 3, 1, 2], [3, 0, 1, + 2], [3, 0, 2, 1] ] + assert [Permutation(pa).rank_trotterjohnson() for pa in a] == list(range(5)) + assert Permutation([0, 1, 2, 3]).next_trotterjohnson() == \ + Permutation([0, 1, 3, 2]) + + assert q.rank_trotterjohnson() == 2283 + assert p.rank_trotterjohnson() == 3389 + assert Permutation([1, 0]).rank_trotterjohnson() == 1 + a = Permutation(list(range(3))) + b = a + l = [] + tj = [] + for i in range(6): + l.append(a) + tj.append(b) + a = a.next_lex() + b = b.next_trotterjohnson() + assert a == b is None + assert {tuple(a) for a in l} == {tuple(a) for a in tj} + + p = Permutation([2, 5, 1, 6, 3, 0, 4]) + q = Permutation([[6], [5], [0, 1, 2, 3, 4]]) + assert p.rank() == 1964 + assert q.rank() == 870 + assert Permutation([]).rank_nonlex() == 0 + prank = p.rank_nonlex() + assert prank == 1600 + assert Permutation.unrank_nonlex(7, 1600) == p + qrank = q.rank_nonlex() + assert qrank == 41 + assert Permutation.unrank_nonlex(7, 41) == Permutation(q.array_form) + + a = [Permutation.unrank_nonlex(4, i).array_form for i in range(24)] + assert a == [ + [1, 2, 3, 0], [3, 2, 0, 1], [1, 3, 0, 2], [1, 2, 0, 3], [2, 3, 1, 0], + [2, 0, 3, 1], [3, 0, 1, 2], [2, 0, 1, 3], [1, 3, 2, 0], [3, 0, 2, 1], + [1, 0, 3, 2], [1, 0, 2, 3], [2, 1, 3, 0], [2, 3, 0, 1], [3, 1, 0, 2], + [2, 1, 0, 3], [3, 2, 1, 0], [0, 2, 3, 1], [0, 3, 1, 2], [0, 2, 1, 3], + [3, 1, 2, 0], [0, 3, 2, 1], [0, 1, 3, 2], [0, 1, 2, 3]] + + N = 10 + p1 = Permutation(a[0]) + for i in range(1, N+1): + p1 = p1*Permutation(a[i]) + p2 = Permutation.rmul_with_af(*[Permutation(h) for h in a[N::-1]]) + assert p1 == p2 + + ok = [] + p = Permutation([1, 0]) + for i in range(3): + ok.append(p.array_form) + p = p.next_nonlex() + if p is None: + ok.append(None) + break + assert ok == [[1, 0], [0, 1], None] + assert Permutation([3, 2, 0, 1]).next_nonlex() == Permutation([1, 3, 0, 2]) + assert [Permutation(pa).rank_nonlex() for pa in a] == list(range(24)) + + +def test_mul(): + a, b = [0, 2, 1, 3], [0, 1, 3, 2] + assert _af_rmul(a, b) == [0, 2, 3, 1] + assert _af_rmuln(a, b, list(range(4))) == [0, 2, 3, 1] + assert rmul(Permutation(a), Permutation(b)).array_form == [0, 2, 3, 1] + + a = Permutation([0, 2, 1, 3]) + b = (0, 1, 3, 2) + c = (3, 1, 2, 0) + assert Permutation.rmul(a, b, c) == Permutation([1, 2, 3, 0]) + assert Permutation.rmul(a, c) == Permutation([3, 2, 1, 0]) + raises(TypeError, lambda: Permutation.rmul(b, c)) + + n = 6 + m = 8 + a = [Permutation.unrank_nonlex(n, i).array_form for i in range(m)] + h = list(range(n)) + for i in range(m): + h = _af_rmul(h, a[i]) + h2 = _af_rmuln(*a[:i + 1]) + assert h == h2 + + +def test_args(): + p = Permutation([(0, 3, 1, 2), (4, 5)]) + assert p._cyclic_form is None + assert Permutation(p) == p + assert p.cyclic_form == [[0, 3, 1, 2], [4, 5]] + assert p._array_form == [3, 2, 0, 1, 5, 4] + p = Permutation((0, 3, 1, 2)) + assert p._cyclic_form is None + assert p._array_form == [0, 3, 1, 2] + assert Permutation([0]) == Permutation((0, )) + assert Permutation([[0], [1]]) == Permutation(((0, ), (1, ))) == \ + Permutation(((0, ), [1])) + assert Permutation([[1, 2]]) == Permutation([0, 2, 1]) + assert Permutation([[1], [4, 2]]) == Permutation([0, 1, 4, 3, 2]) + assert Permutation([[1], [4, 2]], size=1) == Permutation([0, 1, 4, 3, 2]) + assert Permutation( + [[1], [4, 2]], size=6) == Permutation([0, 1, 4, 3, 2, 5]) + assert Permutation([[0, 1], [0, 2]]) == Permutation(0, 1, 2) + assert Permutation([], size=3) == Permutation([0, 1, 2]) + assert Permutation(3).list(5) == [0, 1, 2, 3, 4] + assert Permutation(3).list(-1) == [] + assert Permutation(5)(1, 2).list(-1) == [0, 2, 1] + assert Permutation(5)(1, 2).list() == [0, 2, 1, 3, 4, 5] + raises(ValueError, lambda: Permutation([1, 2], [0])) + # enclosing brackets needed + raises(ValueError, lambda: Permutation([[1, 2], 0])) + # enclosing brackets needed on 0 + raises(ValueError, lambda: Permutation([1, 1, 0])) + raises(ValueError, lambda: Permutation([4, 5], size=10)) # where are 0-3? + # but this is ok because cycles imply that only those listed moved + assert Permutation(4, 5) == Permutation([0, 1, 2, 3, 5, 4]) + + +def test_Cycle(): + assert str(Cycle()) == '()' + assert Cycle(Cycle(1,2)) == Cycle(1, 2) + assert Cycle(1,2).copy() == Cycle(1,2) + assert list(Cycle(1, 3, 2)) == [0, 3, 1, 2] + assert Cycle(1, 2)(2, 3) == Cycle(1, 3, 2) + assert Cycle(1, 2)(2, 3)(4, 5) == Cycle(1, 3, 2)(4, 5) + assert Permutation(Cycle(1, 2)(2, 1, 0, 3)).cyclic_form, Cycle(0, 2, 1) + raises(ValueError, lambda: Cycle().list()) + assert Cycle(1, 2).list() == [0, 2, 1] + assert Cycle(1, 2).list(4) == [0, 2, 1, 3] + assert Cycle(3).list(2) == [0, 1] + assert Cycle(3).list(6) == [0, 1, 2, 3, 4, 5] + assert Permutation(Cycle(1, 2), size=4) == \ + Permutation([0, 2, 1, 3]) + assert str(Cycle(1, 2)(4, 5)) == '(1 2)(4 5)' + assert str(Cycle(1, 2)) == '(1 2)' + assert Cycle(Permutation(list(range(3)))) == Cycle() + assert Cycle(1, 2).list() == [0, 2, 1] + assert Cycle(1, 2).list(4) == [0, 2, 1, 3] + assert Cycle().size == 0 + raises(ValueError, lambda: Cycle((1, 2))) + raises(ValueError, lambda: Cycle(1, 2, 1)) + raises(TypeError, lambda: Cycle(1, 2)*{}) + raises(ValueError, lambda: Cycle(4)[a]) + raises(ValueError, lambda: Cycle(2, -4, 3)) + + # check round-trip + p = Permutation([[1, 2], [4, 3]], size=5) + assert Permutation(Cycle(p)) == p + + +def test_from_sequence(): + assert Permutation.from_sequence('SymPy') == Permutation(4)(0, 1, 3) + assert Permutation.from_sequence('SymPy', key=lambda x: x.lower()) == \ + Permutation(4)(0, 2)(1, 3) + + +def test_resize(): + p = Permutation(0, 1, 2) + assert p.resize(5) == Permutation(0, 1, 2, size=5) + assert p.resize(4) == Permutation(0, 1, 2, size=4) + assert p.resize(3) == p + raises(ValueError, lambda: p.resize(2)) + + p = Permutation(0, 1, 2)(3, 4)(5, 6) + assert p.resize(3) == Permutation(0, 1, 2) + raises(ValueError, lambda: p.resize(4)) + + +def test_printing_cyclic(): + p1 = Permutation([0, 2, 1]) + assert repr(p1) == 'Permutation(1, 2)' + assert str(p1) == '(1 2)' + p2 = Permutation() + assert repr(p2) == 'Permutation()' + assert str(p2) == '()' + p3 = Permutation([1, 2, 0, 3]) + assert repr(p3) == 'Permutation(3)(0, 1, 2)' + + +def test_printing_non_cyclic(): + p1 = Permutation([0, 1, 2, 3, 4, 5]) + assert srepr(p1, perm_cyclic=False) == 'Permutation([], size=6)' + assert sstr(p1, perm_cyclic=False) == 'Permutation([], size=6)' + p2 = Permutation([0, 1, 2]) + assert srepr(p2, perm_cyclic=False) == 'Permutation([0, 1, 2])' + assert sstr(p2, perm_cyclic=False) == 'Permutation([0, 1, 2])' + + p3 = Permutation([0, 2, 1]) + assert srepr(p3, perm_cyclic=False) == 'Permutation([0, 2, 1])' + assert sstr(p3, perm_cyclic=False) == 'Permutation([0, 2, 1])' + p4 = Permutation([0, 1, 3, 2, 4, 5, 6, 7]) + assert srepr(p4, perm_cyclic=False) == 'Permutation([0, 1, 3, 2], size=8)' + + +def test_deprecated_print_cyclic(): + p = Permutation(0, 1, 2) + try: + Permutation.print_cyclic = True + with warns_deprecated_sympy(): + assert sstr(p) == '(0 1 2)' + with warns_deprecated_sympy(): + assert srepr(p) == 'Permutation(0, 1, 2)' + with warns_deprecated_sympy(): + assert pretty(p) == '(0 1 2)' + with warns_deprecated_sympy(): + assert latex(p) == r'\left( 0\; 1\; 2\right)' + + Permutation.print_cyclic = False + with warns_deprecated_sympy(): + assert sstr(p) == 'Permutation([1, 2, 0])' + with warns_deprecated_sympy(): + assert srepr(p) == 'Permutation([1, 2, 0])' + with warns_deprecated_sympy(): + assert pretty(p, use_unicode=False) == '/0 1 2\\\n\\1 2 0/' + with warns_deprecated_sympy(): + assert latex(p) == \ + r'\begin{pmatrix} 0 & 1 & 2 \\ 1 & 2 & 0 \end{pmatrix}' + finally: + Permutation.print_cyclic = None + + +def test_permutation_equality(): + a = Permutation(0, 1, 2) + b = Permutation(0, 1, 2) + assert Eq(a, b) is S.true + c = Permutation(0, 2, 1) + assert Eq(a, c) is S.false + + d = Permutation(0, 1, 2, size=4) + assert unchanged(Eq, a, d) + e = Permutation(0, 2, 1, size=4) + assert unchanged(Eq, a, e) + + i = Permutation() + assert unchanged(Eq, i, 0) + assert unchanged(Eq, 0, i) + + +def test_issue_17661(): + c1 = Cycle(1,2) + c2 = Cycle(1,2) + assert c1 == c2 + assert repr(c1) == 'Cycle(1, 2)' + assert c1 == c2 + + +def test_permutation_apply(): + x = Symbol('x') + p = Permutation(0, 1, 2) + assert p.apply(0) == 1 + assert isinstance(p.apply(0), Integer) + assert p.apply(x) == AppliedPermutation(p, x) + assert AppliedPermutation(p, x).subs(x, 0) == 1 + + x = Symbol('x', integer=False) + raises(NotImplementedError, lambda: p.apply(x)) + x = Symbol('x', negative=True) + raises(NotImplementedError, lambda: p.apply(x)) + + +def test_AppliedPermutation(): + x = Symbol('x') + p = Permutation(0, 1, 2) + raises(ValueError, lambda: AppliedPermutation((0, 1, 2), x)) + assert AppliedPermutation(p, 1, evaluate=True) == 2 + assert AppliedPermutation(p, 1, evaluate=False).__class__ == \ + AppliedPermutation diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_polyhedron.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_polyhedron.py new file mode 100644 index 0000000000000000000000000000000000000000..abf469bb560eef1f378eff4740a84b80b696035f --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_polyhedron.py @@ -0,0 +1,105 @@ +from sympy.core.symbol import symbols +from sympy.sets.sets import FiniteSet +from sympy.combinatorics.polyhedron import (Polyhedron, + tetrahedron, cube as square, octahedron, dodecahedron, icosahedron, + cube_faces) +from sympy.combinatorics.permutations import Permutation +from sympy.combinatorics.perm_groups import PermutationGroup +from sympy.testing.pytest import raises + +rmul = Permutation.rmul + + +def test_polyhedron(): + raises(ValueError, lambda: Polyhedron(list('ab'), + pgroup=[Permutation([0])])) + pgroup = [Permutation([[0, 7, 2, 5], [6, 1, 4, 3]]), + Permutation([[0, 7, 1, 6], [5, 2, 4, 3]]), + Permutation([[3, 6, 0, 5], [4, 1, 7, 2]]), + Permutation([[7, 4, 5], [1, 3, 0], [2], [6]]), + Permutation([[1, 3, 2], [7, 6, 5], [4], [0]]), + Permutation([[4, 7, 6], [2, 0, 3], [1], [5]]), + Permutation([[1, 2, 0], [4, 5, 6], [3], [7]]), + Permutation([[4, 2], [0, 6], [3, 7], [1, 5]]), + Permutation([[3, 5], [7, 1], [2, 6], [0, 4]]), + Permutation([[2, 5], [1, 6], [0, 4], [3, 7]]), + Permutation([[4, 3], [7, 0], [5, 1], [6, 2]]), + Permutation([[4, 1], [0, 5], [6, 2], [7, 3]]), + Permutation([[7, 2], [3, 6], [0, 4], [1, 5]]), + Permutation([0, 1, 2, 3, 4, 5, 6, 7])] + corners = tuple(symbols('A:H')) + faces = cube_faces + cube = Polyhedron(corners, faces, pgroup) + + assert cube.edges == FiniteSet(*( + (0, 1), (6, 7), (1, 2), (5, 6), (0, 3), (2, 3), + (4, 7), (4, 5), (3, 7), (1, 5), (0, 4), (2, 6))) + + for i in range(3): # add 180 degree face rotations + cube.rotate(cube.pgroup[i]**2) + + assert cube.corners == corners + + for i in range(3, 7): # add 240 degree axial corner rotations + cube.rotate(cube.pgroup[i]**2) + + assert cube.corners == corners + cube.rotate(1) + raises(ValueError, lambda: cube.rotate(Permutation([0, 1]))) + assert cube.corners != corners + assert cube.array_form == [7, 6, 4, 5, 3, 2, 0, 1] + assert cube.cyclic_form == [[0, 7, 1, 6], [2, 4, 3, 5]] + cube.reset() + assert cube.corners == corners + + def check(h, size, rpt, target): + + assert len(h.faces) + len(h.vertices) - len(h.edges) == 2 + assert h.size == size + + got = set() + for p in h.pgroup: + # make sure it restores original + P = h.copy() + hit = P.corners + for i in range(rpt): + P.rotate(p) + if P.corners == hit: + break + else: + print('error in permutation', p.array_form) + for i in range(rpt): + P.rotate(p) + got.add(tuple(P.corners)) + c = P.corners + f = [[c[i] for i in f] for f in P.faces] + assert h.faces == Polyhedron(c, f).faces + assert len(got) == target + assert PermutationGroup([Permutation(g) for g in got]).is_group + + for h, size, rpt, target in zip( + (tetrahedron, square, octahedron, dodecahedron, icosahedron), + (4, 8, 6, 20, 12), + (3, 4, 4, 5, 5), + (12, 24, 24, 60, 60)): + check(h, size, rpt, target) + + +def test_pgroups(): + from sympy.combinatorics.polyhedron import (cube, tetrahedron_faces, + octahedron_faces, dodecahedron_faces, icosahedron_faces) + from sympy.combinatorics.polyhedron import _pgroup_calcs + (tetrahedron2, cube2, octahedron2, dodecahedron2, icosahedron2, + tetrahedron_faces2, cube_faces2, octahedron_faces2, + dodecahedron_faces2, icosahedron_faces2) = _pgroup_calcs() + + assert tetrahedron == tetrahedron2 + assert cube == cube2 + assert octahedron == octahedron2 + assert dodecahedron == dodecahedron2 + assert icosahedron == icosahedron2 + assert sorted(map(sorted, tetrahedron_faces)) == sorted(map(sorted, tetrahedron_faces2)) + assert sorted(cube_faces) == sorted(cube_faces2) + assert sorted(octahedron_faces) == sorted(octahedron_faces2) + assert sorted(dodecahedron_faces) == sorted(dodecahedron_faces2) + assert sorted(icosahedron_faces) == sorted(icosahedron_faces2) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_prufer.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_prufer.py new file mode 100644 index 0000000000000000000000000000000000000000..b077c7cf3f023a4c36d7039505e6165ab29f275a --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_prufer.py @@ -0,0 +1,74 @@ +from sympy.combinatorics.prufer import Prufer +from sympy.testing.pytest import raises + + +def test_prufer(): + # number of nodes is optional + assert Prufer([[0, 1], [0, 2], [0, 3], [0, 4]], 5).nodes == 5 + assert Prufer([[0, 1], [0, 2], [0, 3], [0, 4]]).nodes == 5 + + a = Prufer([[0, 1], [0, 2], [0, 3], [0, 4]]) + assert a.rank == 0 + assert a.nodes == 5 + assert a.prufer_repr == [0, 0, 0] + + a = Prufer([[2, 4], [1, 4], [1, 3], [0, 5], [0, 4]]) + assert a.rank == 924 + assert a.nodes == 6 + assert a.tree_repr == [[2, 4], [1, 4], [1, 3], [0, 5], [0, 4]] + assert a.prufer_repr == [4, 1, 4, 0] + + assert Prufer.edges([0, 1, 2, 3], [1, 4, 5], [1, 4, 6]) == \ + ([[0, 1], [1, 2], [1, 4], [2, 3], [4, 5], [4, 6]], 7) + assert Prufer([0]*4).size == Prufer([6]*4).size == 1296 + + # accept iterables but convert to list of lists + tree = [(0, 1), (1, 5), (0, 3), (0, 2), (2, 6), (4, 7), (2, 4)] + tree_lists = [list(t) for t in tree] + assert Prufer(tree).tree_repr == tree_lists + assert sorted(Prufer(set(tree)).tree_repr) == sorted(tree_lists) + + raises(ValueError, lambda: Prufer([[1, 2], [3, 4]])) # 0 is missing + raises(ValueError, lambda: Prufer([[2, 3], [3, 4]])) # 0, 1 are missing + assert Prufer(*Prufer.edges([1, 2], [3, 4])).prufer_repr == [1, 3] + raises(ValueError, lambda: Prufer.edges( + [1, 3], [3, 4])) # a broken tree but edges doesn't care + raises(ValueError, lambda: Prufer.edges([1, 2], [5, 6])) + raises(ValueError, lambda: Prufer([[]])) + + a = Prufer([[0, 1], [0, 2], [0, 3]]) + b = a.next() + assert b.tree_repr == [[0, 2], [0, 1], [1, 3]] + assert b.rank == 1 + + +def test_round_trip(): + def doit(t, b): + e, n = Prufer.edges(*t) + t = Prufer(e, n) + a = sorted(t.tree_repr) + b = [i - 1 for i in b] + assert t.prufer_repr == b + assert sorted(Prufer(b).tree_repr) == a + assert Prufer.unrank(t.rank, n).prufer_repr == b + + doit([[1, 2]], []) + doit([[2, 1, 3]], [1]) + doit([[1, 3, 2]], [3]) + doit([[1, 2, 3]], [2]) + doit([[2, 1, 4], [1, 3]], [1, 1]) + doit([[3, 2, 1, 4]], [2, 1]) + doit([[3, 2, 1], [2, 4]], [2, 2]) + doit([[1, 3, 2, 4]], [3, 2]) + doit([[1, 4, 2, 3]], [4, 2]) + doit([[3, 1, 4, 2]], [4, 1]) + doit([[4, 2, 1, 3]], [1, 2]) + doit([[1, 2, 4, 3]], [2, 4]) + doit([[1, 3, 4, 2]], [3, 4]) + doit([[2, 4, 1], [4, 3]], [4, 4]) + doit([[1, 2, 3, 4]], [2, 3]) + doit([[2, 3, 1], [3, 4]], [3, 3]) + doit([[1, 4, 3, 2]], [4, 3]) + doit([[2, 1, 4, 3]], [1, 4]) + doit([[2, 1, 3, 4]], [1, 3]) + doit([[6, 2, 1, 4], [1, 3, 5, 8], [3, 7]], [1, 2, 1, 3, 3, 5]) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_rewriting.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_rewriting.py new file mode 100644 index 0000000000000000000000000000000000000000..97c562bd57a2cd6318fa1dcb13c6f6278c861cca --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_rewriting.py @@ -0,0 +1,49 @@ +from sympy.combinatorics.fp_groups import FpGroup +from sympy.combinatorics.free_groups import free_group +from sympy.testing.pytest import raises + + +def test_rewriting(): + F, a, b = free_group("a, b") + G = FpGroup(F, [a*b*a**-1*b**-1]) + a, b = G.generators + R = G._rewriting_system + assert R.is_confluent + + assert G.reduce(b**-1*a) == a*b**-1 + assert G.reduce(b**3*a**4*b**-2*a) == a**5*b + assert G.equals(b**2*a**-1*b, b**4*a**-1*b**-1) + + assert R.reduce_using_automaton(b*a*a**2*b**-1) == a**3 + assert R.reduce_using_automaton(b**3*a**4*b**-2*a) == a**5*b + assert R.reduce_using_automaton(b**-1*a) == a*b**-1 + + G = FpGroup(F, [a**3, b**3, (a*b)**2]) + R = G._rewriting_system + R.make_confluent() + # R._is_confluent should be set to True after + # a successful run of make_confluent + assert R.is_confluent + # but also the system should actually be confluent + assert R._check_confluence() + assert G.reduce(b*a**-1*b**-1*a**3*b**4*a**-1*b**-15) == a**-1*b**-1 + # check for automaton reduction + assert R.reduce_using_automaton(b*a**-1*b**-1*a**3*b**4*a**-1*b**-15) == a**-1*b**-1 + + G = FpGroup(F, [a**2, b**3, (a*b)**4]) + R = G._rewriting_system + assert G.reduce(a**2*b**-2*a**2*b) == b**-1 + assert R.reduce_using_automaton(a**2*b**-2*a**2*b) == b**-1 + assert G.reduce(a**3*b**-2*a**2*b) == a**-1*b**-1 + assert R.reduce_using_automaton(a**3*b**-2*a**2*b) == a**-1*b**-1 + # Check after adding a rule + R.add_rule(a**2, b) + assert R.reduce_using_automaton(a**2*b**-2*a**2*b) == b**-1 + assert R.reduce_using_automaton(a**4*b**-2*a**2*b**3) == b + + R.set_max(15) + raises(RuntimeError, lambda: R.add_rule(a**-3, b)) + R.set_max(20) + R.add_rule(a**-3, b) + + assert R.add_rule(a, a) == set() diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_schur_number.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_schur_number.py new file mode 100644 index 0000000000000000000000000000000000000000..e6beb9b11fa993a99b71d89b8485050fc3575b8e --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_schur_number.py @@ -0,0 +1,55 @@ +from sympy.core import S, Rational +from sympy.combinatorics.schur_number import schur_partition, SchurNumber +from sympy.core.random import _randint +from sympy.testing.pytest import raises +from sympy.core.symbol import symbols + + +def _sum_free_test(subset): + """ + Checks if subset is sum-free(There are no x,y,z in the subset such that + x + y = z) + """ + for i in subset: + for j in subset: + assert (i + j in subset) is False + + +def test_schur_partition(): + raises(ValueError, lambda: schur_partition(S.Infinity)) + raises(ValueError, lambda: schur_partition(-1)) + raises(ValueError, lambda: schur_partition(0)) + assert schur_partition(2) == [[1, 2]] + + random_number_generator = _randint(1000) + for _ in range(5): + n = random_number_generator(1, 1000) + result = schur_partition(n) + t = 0 + numbers = [] + for item in result: + _sum_free_test(item) + """ + Checks if the occurrence of all numbers is exactly one + """ + t += len(item) + for l in item: + assert (l in numbers) is False + numbers.append(l) + assert n == t + + x = symbols("x") + raises(ValueError, lambda: schur_partition(x)) + +def test_schur_number(): + first_known_schur_numbers = {1: 1, 2: 4, 3: 13, 4: 44, 5: 160} + for k in first_known_schur_numbers: + assert SchurNumber(k) == first_known_schur_numbers[k] + + assert SchurNumber(S.Infinity) == S.Infinity + assert SchurNumber(0) == 0 + raises(ValueError, lambda: SchurNumber(0.5)) + + n = symbols("n") + assert SchurNumber(n).lower_bound() == 3**n/2 - Rational(1, 2) + assert SchurNumber(8).lower_bound() == 5039 diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_subsets.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_subsets.py new file mode 100644 index 0000000000000000000000000000000000000000..1d50076da1c685294c2d2561dcc2a6af629eaf83 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_subsets.py @@ -0,0 +1,63 @@ +from sympy.combinatorics.subsets import Subset, ksubsets +from sympy.testing.pytest import raises + + +def test_subset(): + a = Subset(['c', 'd'], ['a', 'b', 'c', 'd']) + assert a.next_binary() == Subset(['b'], ['a', 'b', 'c', 'd']) + assert a.prev_binary() == Subset(['c'], ['a', 'b', 'c', 'd']) + assert a.next_lexicographic() == Subset(['d'], ['a', 'b', 'c', 'd']) + assert a.prev_lexicographic() == Subset(['c'], ['a', 'b', 'c', 'd']) + assert a.next_gray() == Subset(['c'], ['a', 'b', 'c', 'd']) + assert a.prev_gray() == Subset(['d'], ['a', 'b', 'c', 'd']) + assert a.rank_binary == 3 + assert a.rank_lexicographic == 14 + assert a.rank_gray == 2 + assert a.cardinality == 16 + assert a.size == 2 + assert Subset.bitlist_from_subset(a, ['a', 'b', 'c', 'd']) == '0011' + + a = Subset([2, 5, 7], [1, 2, 3, 4, 5, 6, 7]) + assert a.next_binary() == Subset([2, 5, 6], [1, 2, 3, 4, 5, 6, 7]) + assert a.prev_binary() == Subset([2, 5], [1, 2, 3, 4, 5, 6, 7]) + assert a.next_lexicographic() == Subset([2, 6], [1, 2, 3, 4, 5, 6, 7]) + assert a.prev_lexicographic() == Subset([2, 5, 6, 7], [1, 2, 3, 4, 5, 6, 7]) + assert a.next_gray() == Subset([2, 5, 6, 7], [1, 2, 3, 4, 5, 6, 7]) + assert a.prev_gray() == Subset([2, 5], [1, 2, 3, 4, 5, 6, 7]) + assert a.rank_binary == 37 + assert a.rank_lexicographic == 93 + assert a.rank_gray == 57 + assert a.cardinality == 128 + + superset = ['a', 'b', 'c', 'd'] + assert Subset.unrank_binary(4, superset).rank_binary == 4 + assert Subset.unrank_gray(10, superset).rank_gray == 10 + + superset = [1, 2, 3, 4, 5, 6, 7, 8, 9] + assert Subset.unrank_binary(33, superset).rank_binary == 33 + assert Subset.unrank_gray(25, superset).rank_gray == 25 + + a = Subset([], ['a', 'b', 'c', 'd']) + i = 1 + while a.subset != Subset(['d'], ['a', 'b', 'c', 'd']).subset: + a = a.next_lexicographic() + i = i + 1 + assert i == 16 + + i = 1 + while a.subset != Subset([], ['a', 'b', 'c', 'd']).subset: + a = a.prev_lexicographic() + i = i + 1 + assert i == 16 + + raises(ValueError, lambda: Subset(['a', 'b'], ['a'])) + raises(ValueError, lambda: Subset(['a'], ['b', 'c'])) + raises(ValueError, lambda: Subset.subset_from_bitlist(['a', 'b'], '010')) + + assert Subset(['a'], ['a', 'b']) != Subset(['b'], ['a', 'b']) + assert Subset(['a'], ['a', 'b']) != Subset(['a'], ['a', 'c']) + +def test_ksubsets(): + assert list(ksubsets([1, 2, 3], 2)) == [(1, 2), (1, 3), (2, 3)] + assert list(ksubsets([1, 2, 3, 4, 5], 2)) == [(1, 2), (1, 3), (1, 4), + (1, 5), (2, 3), (2, 4), (2, 5), (3, 4), (3, 5), (4, 5)] diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_tensor_can.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_tensor_can.py new file mode 100644 index 0000000000000000000000000000000000000000..3922419f20b92536426bfaae4b7e94df5db671b5 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_tensor_can.py @@ -0,0 +1,560 @@ +from sympy.combinatorics.permutations import Permutation, Perm +from sympy.combinatorics.tensor_can import (perm_af_direct_product, dummy_sgs, + riemann_bsgs, get_symmetric_group_sgs, canonicalize, bsgs_direct_product) +from sympy.combinatorics.testutil import canonicalize_naive, graph_certificate +from sympy.testing.pytest import skip, XFAIL + +def test_perm_af_direct_product(): + gens1 = [[1,0,2,3], [0,1,3,2]] + gens2 = [[1,0]] + assert perm_af_direct_product(gens1, gens2, 0) == [[1, 0, 2, 3, 4, 5], [0, 1, 3, 2, 4, 5], [0, 1, 2, 3, 5, 4]] + gens1 = [[1,0,2,3,5,4], [0,1,3,2,4,5]] + gens2 = [[1,0,2,3]] + assert [[1, 0, 2, 3, 4, 5, 7, 6], [0, 1, 3, 2, 4, 5, 6, 7], [0, 1, 2, 3, 5, 4, 6, 7]] + +def test_dummy_sgs(): + a = dummy_sgs([1,2], 0, 4) + assert a == [[0,2,1,3,4,5]] + a = dummy_sgs([2,3,4,5], 0, 8) + assert a == [x._array_form for x in [Perm(9)(2,3), Perm(9)(4,5), + Perm(9)(2,4)(3,5)]] + + a = dummy_sgs([2,3,4,5], 1, 8) + assert a == [x._array_form for x in [Perm(2,3)(8,9), Perm(4,5)(8,9), + Perm(9)(2,4)(3,5)]] + +def test_get_symmetric_group_sgs(): + assert get_symmetric_group_sgs(2) == ([0], [Permutation(3)(0,1)]) + assert get_symmetric_group_sgs(2, 1) == ([0], [Permutation(0,1)(2,3)]) + assert get_symmetric_group_sgs(3) == ([0,1], [Permutation(4)(0,1), Permutation(4)(1,2)]) + assert get_symmetric_group_sgs(3, 1) == ([0,1], [Permutation(0,1)(3,4), Permutation(1,2)(3,4)]) + assert get_symmetric_group_sgs(4) == ([0,1,2], [Permutation(5)(0,1), Permutation(5)(1,2), Permutation(5)(2,3)]) + assert get_symmetric_group_sgs(4, 1) == ([0,1,2], [Permutation(0,1)(4,5), Permutation(1,2)(4,5), Permutation(2,3)(4,5)]) + + +def test_canonicalize_no_slot_sym(): + # cases in which there is no slot symmetry after fixing the + # free indices; here and in the following if the symmetry of the + # metric is not specified, it is assumed to be symmetric. + # If it is not specified, tensors are commuting. + + # A_d0 * B^d0; g = [1,0, 2,3]; T_c = A^d0*B_d0; can = [0,1,2,3] + base1, gens1 = get_symmetric_group_sgs(1) + dummies = [0, 1] + g = Permutation([1,0,2,3]) + can = canonicalize(g, dummies, 0, (base1,gens1,1,0), (base1,gens1,1,0)) + assert can == [0,1,2,3] + # equivalently + can = canonicalize(g, dummies, 0, (base1, gens1, 2, None)) + assert can == [0,1,2,3] + + # with antisymmetric metric; T_c = -A^d0*B_d0; can = [0,1,3,2] + can = canonicalize(g, dummies, 1, (base1,gens1,1,0), (base1,gens1,1,0)) + assert can == [0,1,3,2] + + # A^a * B^b; ord = [a,b]; g = [0,1,2,3]; can = g + g = Permutation([0,1,2,3]) + dummies = [] + t0 = t1 = (base1, gens1, 1, 0) + can = canonicalize(g, dummies, 0, t0, t1) + assert can == [0,1,2,3] + # B^b * A^a + g = Permutation([1,0,2,3]) + can = canonicalize(g, dummies, 0, t0, t1) + assert can == [1,0,2,3] + + # A symmetric + # A^{b}_{d0}*A^{d0, a} order a,b,d0,-d0; T_c = A^{a d0}*A{b}_{d0} + # g = [1,3,2,0,4,5]; can = [0,2,1,3,4,5] + base2, gens2 = get_symmetric_group_sgs(2) + dummies = [2,3] + g = Permutation([1,3,2,0,4,5]) + can = canonicalize(g, dummies, 0, (base2, gens2, 2, 0)) + assert can == [0, 2, 1, 3, 4, 5] + # with antisymmetric metric + can = canonicalize(g, dummies, 1, (base2, gens2, 2, 0)) + assert can == [0, 2, 1, 3, 4, 5] + # A^{a}_{d0}*A^{d0, b} + g = Permutation([0,3,2,1,4,5]) + can = canonicalize(g, dummies, 1, (base2, gens2, 2, 0)) + assert can == [0, 2, 1, 3, 5, 4] + + # A, B symmetric + # A^b_d0*B^{d0,a}; g=[1,3,2,0,4,5] + # T_c = A^{b,d0}*B_{a,d0}; can = [1,2,0,3,4,5] + dummies = [2,3] + g = Permutation([1,3,2,0,4,5]) + can = canonicalize(g, dummies, 0, (base2,gens2,1,0), (base2,gens2,1,0)) + assert can == [1,2,0,3,4,5] + # same with antisymmetric metric + can = canonicalize(g, dummies, 1, (base2,gens2,1,0), (base2,gens2,1,0)) + assert can == [1,2,0,3,5,4] + + # A^{d1}_{d0}*B^d0*C_d1 ord=[d0,-d0,d1,-d1]; g = [2,1,0,3,4,5] + # T_c = A^{d0 d1}*B_d0*C_d1; can = [0,2,1,3,4,5] + base1, gens1 = get_symmetric_group_sgs(1) + base2, gens2 = get_symmetric_group_sgs(2) + g = Permutation([2,1,0,3,4,5]) + dummies = [0,1,2,3] + t0 = (base2, gens2, 1, 0) + t1 = t2 = (base1, gens1, 1, 0) + can = canonicalize(g, dummies, 0, t0, t1, t2) + assert can == [0, 2, 1, 3, 4, 5] + + # A without symmetry + # A^{d1}_{d0}*B^d0*C_d1 ord=[d0,-d0,d1,-d1]; g = [2,1,0,3,4,5] + # T_c = A^{d0 d1}*B_d1*C_d0; can = [0,2,3,1,4,5] + g = Permutation([2,1,0,3,4,5]) + dummies = [0,1,2,3] + t0 = ([], [Permutation(list(range(4)))], 1, 0) + can = canonicalize(g, dummies, 0, t0, t1, t2) + assert can == [0,2,3,1,4,5] + # A, B without symmetry + # A^{d1}_{d0}*B_{d1}^{d0}; g = [2,1,3,0,4,5] + # T_c = A^{d0 d1}*B_{d0 d1}; can = [0,2,1,3,4,5] + t0 = t1 = ([], [Permutation(list(range(4)))], 1, 0) + dummies = [0,1,2,3] + g = Permutation([2,1,3,0,4,5]) + can = canonicalize(g, dummies, 0, t0, t1) + assert can == [0, 2, 1, 3, 4, 5] + # A_{d0}^{d1}*B_{d1}^{d0}; g = [1,2,3,0,4,5] + # T_c = A^{d0 d1}*B_{d1 d0}; can = [0,2,3,1,4,5] + g = Permutation([1,2,3,0,4,5]) + can = canonicalize(g, dummies, 0, t0, t1) + assert can == [0,2,3,1,4,5] + + # A, B, C without symmetry + # A^{d1 d0}*B_{a d0}*C_{d1 b} ord=[a,b,d0,-d0,d1,-d1] + # g=[4,2,0,3,5,1,6,7] + # T_c=A^{d0 d1}*B_{a d1}*C_{d0 b}; can = [2,4,0,5,3,1,6,7] + t0 = t1 = t2 = ([], [Permutation(list(range(4)))], 1, 0) + dummies = [2,3,4,5] + g = Permutation([4,2,0,3,5,1,6,7]) + can = canonicalize(g, dummies, 0, t0, t1, t2) + assert can == [2,4,0,5,3,1,6,7] + + # A symmetric, B and C without symmetry + # A^{d1 d0}*B_{a d0}*C_{d1 b} ord=[a,b,d0,-d0,d1,-d1] + # g=[4,2,0,3,5,1,6,7] + # T_c = A^{d0 d1}*B_{a d0}*C_{d1 b}; can = [2,4,0,3,5,1,6,7] + t0 = (base2,gens2,1,0) + t1 = t2 = ([], [Permutation(list(range(4)))], 1, 0) + dummies = [2,3,4,5] + g = Permutation([4,2,0,3,5,1,6,7]) + can = canonicalize(g, dummies, 0, t0, t1, t2) + assert can == [2,4,0,3,5,1,6,7] + + # A and C symmetric, B without symmetry + # A^{d1 d0}*B_{a d0}*C_{d1 b} ord=[a,b,d0,-d0,d1,-d1] + # g=[4,2,0,3,5,1,6,7] + # T_c = A^{d0 d1}*B_{a d0}*C_{b d1}; can = [2,4,0,3,1,5,6,7] + t0 = t2 = (base2,gens2,1,0) + t1 = ([], [Permutation(list(range(4)))], 1, 0) + dummies = [2,3,4,5] + g = Permutation([4,2,0,3,5,1,6,7]) + can = canonicalize(g, dummies, 0, t0, t1, t2) + assert can == [2,4,0,3,1,5,6,7] + + # A symmetric, B without symmetry, C antisymmetric + # A^{d1 d0}*B_{a d0}*C_{d1 b} ord=[a,b,d0,-d0,d1,-d1] + # g=[4,2,0,3,5,1,6,7] + # T_c = -A^{d0 d1}*B_{a d0}*C_{b d1}; can = [2,4,0,3,1,5,7,6] + t0 = (base2,gens2, 1, 0) + t1 = ([], [Permutation(list(range(4)))], 1, 0) + base2a, gens2a = get_symmetric_group_sgs(2, 1) + t2 = (base2a, gens2a, 1, 0) + dummies = [2,3,4,5] + g = Permutation([4,2,0,3,5,1,6,7]) + can = canonicalize(g, dummies, 0, t0, t1, t2) + assert can == [2,4,0,3,1,5,7,6] + + +def test_canonicalize_no_dummies(): + base1, gens1 = get_symmetric_group_sgs(1) + base2, gens2 = get_symmetric_group_sgs(2) + base2a, gens2a = get_symmetric_group_sgs(2, 1) + + # A commuting + # A^c A^b A^a; ord = [a,b,c]; g = [2,1,0,3,4] + # T_c = A^a A^b A^c; can = list(range(5)) + g = Permutation([2,1,0,3,4]) + can = canonicalize(g, [], 0, (base1, gens1, 3, 0)) + assert can == list(range(5)) + + # A anticommuting + # A^c A^b A^a; ord = [a,b,c]; g = [2,1,0,3,4] + # T_c = -A^a A^b A^c; can = [0,1,2,4,3] + g = Permutation([2,1,0,3,4]) + can = canonicalize(g, [], 0, (base1, gens1, 3, 1)) + assert can == [0,1,2,4,3] + + # A commuting and symmetric + # A^{b,d}*A^{c,a}; ord = [a,b,c,d]; g = [1,3,2,0,4,5] + # T_c = A^{a c}*A^{b d}; can = [0,2,1,3,4,5] + g = Permutation([1,3,2,0,4,5]) + can = canonicalize(g, [], 0, (base2, gens2, 2, 0)) + assert can == [0,2,1,3,4,5] + + # A anticommuting and symmetric + # A^{b,d}*A^{c,a}; ord = [a,b,c,d]; g = [1,3,2,0,4,5] + # T_c = -A^{a c}*A^{b d}; can = [0,2,1,3,5,4] + g = Permutation([1,3,2,0,4,5]) + can = canonicalize(g, [], 0, (base2, gens2, 2, 1)) + assert can == [0,2,1,3,5,4] + # A^{c,a}*A^{b,d} ; g = [2,0,1,3,4,5] + # T_c = A^{a c}*A^{b d}; can = [0,2,1,3,4,5] + g = Permutation([2,0,1,3,4,5]) + can = canonicalize(g, [], 0, (base2, gens2, 2, 1)) + assert can == [0,2,1,3,4,5] + +def test_no_metric_symmetry(): + # no metric symmetry + # A^d1_d0 * A^d0_d1; ord = [d0,-d0,d1,-d1]; g= [2,1,0,3,4,5] + # T_c = A^d0_d1 * A^d1_d0; can = [0,3,2,1,4,5] + g = Permutation([2,1,0,3,4,5]) + can = canonicalize(g, list(range(4)), None, [[], [Permutation(list(range(4)))], 2, 0]) + assert can == [0,3,2,1,4,5] + + # A^d1_d2 * A^d0_d3 * A^d2_d1 * A^d3_d0 + # ord = [d0,-d0,d1,-d1,d2,-d2,d3,-d3] + # 0 1 2 3 4 5 6 7 + # g = [2,5,0,7,4,3,6,1,8,9] + # T_c = A^d0_d1 * A^d1_d0 * A^d2_d3 * A^d3_d2 + # can = [0,3,2,1,4,7,6,5,8,9] + g = Permutation([2,5,0,7,4,3,6,1,8,9]) + #can = canonicalize(g, list(range(8)), 0, [[], [list(range(4))], 4, 0]) + #assert can == [0, 2, 3, 1, 4, 6, 7, 5, 8, 9] + can = canonicalize(g, list(range(8)), None, [[], [Permutation(list(range(4)))], 4, 0]) + assert can == [0, 3, 2, 1, 4, 7, 6, 5, 8, 9] + + # A^d0_d2 * A^d1_d3 * A^d3_d0 * A^d2_d1 + # g = [0,5,2,7,6,1,4,3,8,9] + # T_c = A^d0_d1 * A^d1_d2 * A^d2_d3 * A^d3_d0 + # can = [0,3,2,5,4,7,6,1,8,9] + g = Permutation([0,5,2,7,6,1,4,3,8,9]) + can = canonicalize(g, list(range(8)), None, [[], [Permutation(list(range(4)))], 4, 0]) + assert can == [0,3,2,5,4,7,6,1,8,9] + + g = Permutation([12,7,10,3,14,13,4,11,6,1,2,9,0,15,8,5,16,17]) + can = canonicalize(g, list(range(16)), None, [[], [Permutation(list(range(4)))], 8, 0]) + assert can == [0,3,2,5,4,7,6,1,8,11,10,13,12,15,14,9,16,17] + +def test_canonical_free(): + # t = A^{d0 a1}*A_d0^a0 + # ord = [a0,a1,d0,-d0]; g = [2,1,3,0,4,5]; dummies = [[2,3]] + # t_c = A_d0^a0*A^{d0 a1} + # can = [3,0, 2,1, 4,5] + g = Permutation([2,1,3,0,4,5]) + dummies = [[2,3]] + can = canonicalize(g, dummies, [None], ([], [Permutation(3)], 2, 0)) + assert can == [3,0, 2,1, 4,5] + +def test_canonicalize1(): + base1, gens1 = get_symmetric_group_sgs(1) + base1a, gens1a = get_symmetric_group_sgs(1, 1) + base2, gens2 = get_symmetric_group_sgs(2) + base3, gens3 = get_symmetric_group_sgs(3) + base2a, gens2a = get_symmetric_group_sgs(2, 1) + base3a, gens3a = get_symmetric_group_sgs(3, 1) + + # A_d0*A^d0; ord = [d0,-d0]; g = [1,0,2,3] + # T_c = A^d0*A_d0; can = [0,1,2,3] + g = Permutation([1,0,2,3]) + can = canonicalize(g, [0, 1], 0, (base1, gens1, 2, 0)) + assert can == list(range(4)) + + # A commuting + # A_d0*A_d1*A_d2*A^d2*A^d1*A^d0; ord=[d0,-d0,d1,-d1,d2,-d2] + # g = [1,3,5,4,2,0,6,7] + # T_c = A^d0*A_d0*A^d1*A_d1*A^d2*A_d2; can = list(range(8)) + g = Permutation([1,3,5,4,2,0,6,7]) + can = canonicalize(g, list(range(6)), 0, (base1, gens1, 6, 0)) + assert can == list(range(8)) + + # A anticommuting + # A_d0*A_d1*A_d2*A^d2*A^d1*A^d0; ord=[d0,-d0,d1,-d1,d2,-d2] + # g = [1,3,5,4,2,0,6,7] + # T_c 0; can = 0 + g = Permutation([1,3,5,4,2,0,6,7]) + can = canonicalize(g, list(range(6)), 0, (base1, gens1, 6, 1)) + assert can == 0 + can1 = canonicalize_naive(g, list(range(6)), 0, (base1, gens1, 6, 1)) + assert can1 == 0 + + # A commuting symmetric + # A^{d0 b}*A^a_d1*A^d1_d0; ord=[a,b,d0,-d0,d1,-d1] + # g = [2,1,0,5,4,3,6,7] + # T_c = A^{a d0}*A^{b d1}*A_{d0 d1}; can = [0,2,1,4,3,5,6,7] + g = Permutation([2,1,0,5,4,3,6,7]) + can = canonicalize(g, list(range(2,6)), 0, (base2, gens2, 3, 0)) + assert can == [0,2,1,4,3,5,6,7] + + # A, B commuting symmetric + # A^{d0 b}*A^d1_d0*B^a_d1; ord=[a,b,d0,-d0,d1,-d1] + # g = [2,1,4,3,0,5,6,7] + # T_c = A^{b d0}*A_d0^d1*B^a_d1; can = [1,2,3,4,0,5,6,7] + g = Permutation([2,1,4,3,0,5,6,7]) + can = canonicalize(g, list(range(2,6)), 0, (base2,gens2,2,0), (base2,gens2,1,0)) + assert can == [1,2,3,4,0,5,6,7] + + # A commuting symmetric + # A^{d1 d0 b}*A^{a}_{d1 d0}; ord=[a,b, d0,-d0,d1,-d1] + # g = [4,2,1,0,5,3,6,7] + # T_c = A^{a d0 d1}*A^{b}_{d0 d1}; can = [0,2,4,1,3,5,6,7] + g = Permutation([4,2,1,0,5,3,6,7]) + can = canonicalize(g, list(range(2,6)), 0, (base3, gens3, 2, 0)) + assert can == [0,2,4,1,3,5,6,7] + + + # A^{d3 d0 d2}*A^a0_{d1 d2}*A^d1_d3^a1*A^{a2 a3}_d0 + # ord = [a0,a1,a2,a3,d0,-d0,d1,-d1,d2,-d2,d3,-d3] + # 0 1 2 3 4 5 6 7 8 9 10 11 + # g = [10,4,8, 0,7,9, 6,11,1, 2,3,5, 12,13] + # T_c = A^{a0 d0 d1}*A^a1_d0^d2*A^{a2 a3 d3}*A_{d1 d2 d3} + # can = [0,4,6, 1,5,8, 2,3,10, 7,9,11, 12,13] + g = Permutation([10,4,8, 0,7,9, 6,11,1, 2,3,5, 12,13]) + can = canonicalize(g, list(range(4,12)), 0, (base3, gens3, 4, 0)) + assert can == [0,4,6, 1,5,8, 2,3,10, 7,9,11, 12,13] + + # A commuting symmetric, B antisymmetric + # A^{d0 d1 d2} * A_{d2 d3 d1} * B_d0^d3 + # ord = [d0,-d0,d1,-d1,d2,-d2,d3,-d3] + # g = [0,2,4,5,7,3,1,6,8,9] + # in this esxample and in the next three, + # renaming dummy indices and using symmetry of A, + # T = A^{d0 d1 d2} * A_{d0 d1 d3} * B_d2^d3 + # can = 0 + g = Permutation([0,2,4,5,7,3,1,6,8,9]) + can = canonicalize(g, list(range(8)), 0, (base3, gens3,2,0), (base2a,gens2a,1,0)) + assert can == 0 + # A anticommuting symmetric, B anticommuting + # A^{d0 d1 d2} * A_{d2 d3 d1} * B_d0^d3 + # T_c = A^{d0 d1 d2} * A_{d0 d1}^d3 * B_{d2 d3} + # can = [0,2,4, 1,3,6, 5,7, 8,9] + can = canonicalize(g, list(range(8)), 0, (base3, gens3,2,1), (base2a,gens2a,1,0)) + assert can == [0,2,4, 1,3,6, 5,7, 8,9] + # A anticommuting symmetric, B antisymmetric commuting, antisymmetric metric + # A^{d0 d1 d2} * A_{d2 d3 d1} * B_d0^d3 + # T_c = -A^{d0 d1 d2} * A_{d0 d1}^d3 * B_{d2 d3} + # can = [0,2,4, 1,3,6, 5,7, 9,8] + can = canonicalize(g, list(range(8)), 1, (base3, gens3,2,1), (base2a,gens2a,1,0)) + assert can == [0,2,4, 1,3,6, 5,7, 9,8] + + # A anticommuting symmetric, B anticommuting anticommuting, + # no metric symmetry + # A^{d0 d1 d2} * A_{d2 d3 d1} * B_d0^d3 + # T_c = A^{d0 d1 d2} * A_{d0 d1 d3} * B_d2^d3 + # can = [0,2,4, 1,3,7, 5,6, 8,9] + can = canonicalize(g, list(range(8)), None, (base3, gens3,2,1), (base2a,gens2a,1,0)) + assert can == [0,2,4,1,3,7,5,6,8,9] + + # Gamma anticommuting + # Gamma_{mu nu} * gamma^rho * Gamma^{nu mu alpha} + # ord = [alpha, rho, mu,-mu,nu,-nu] + # g = [3,5,1,4,2,0,6,7] + # T_c = -Gamma^{mu nu} * gamma^rho * Gamma_{alpha mu nu} + # can = [2,4,1,0,3,5,7,6]] + g = Permutation([3,5,1,4,2,0,6,7]) + t0 = (base2a, gens2a, 1, None) + t1 = (base1, gens1, 1, None) + t2 = (base3a, gens3a, 1, None) + can = canonicalize(g, list(range(2, 6)), 0, t0, t1, t2) + assert can == [2,4,1,0,3,5,7,6] + + # Gamma_{mu nu} * Gamma^{gamma beta} * gamma_rho * Gamma^{nu mu alpha} + # ord = [alpha, beta, gamma, -rho, mu,-mu,nu,-nu] + # 0 1 2 3 4 5 6 7 + # g = [5,7,2,1,3,6,4,0,8,9] + # T_c = Gamma^{mu nu} * Gamma^{beta gamma} * gamma_rho * Gamma^alpha_{mu nu} # can = [4,6,1,2,3,0,5,7,8,9] + t0 = (base2a, gens2a, 2, None) + g = Permutation([5,7,2,1,3,6,4,0,8,9]) + can = canonicalize(g, list(range(4, 8)), 0, t0, t1, t2) + assert can == [4,6,1,2,3,0,5,7,8,9] + + # f^a_{b,c} antisymmetric in b,c; A_mu^a no symmetry + # f^c_{d a} * f_{c e b} * A_mu^d * A_nu^a * A^{nu e} * A^{mu b} + # ord = [mu,-mu,nu,-nu,a,-a,b,-b,c,-c,d,-d, e, -e] + # 0 1 2 3 4 5 6 7 8 9 10 11 12 13 + # g = [8,11,5, 9,13,7, 1,10, 3,4, 2,12, 0,6, 14,15] + # T_c = -f^{a b c} * f_a^{d e} * A^mu_b * A_{mu d} * A^nu_c * A_{nu e} + # can = [4,6,8, 5,10,12, 0,7, 1,11, 2,9, 3,13, 15,14] + g = Permutation([8,11,5, 9,13,7, 1,10, 3,4, 2,12, 0,6, 14,15]) + base_f, gens_f = bsgs_direct_product(base1, gens1, base2a, gens2a) + base_A, gens_A = bsgs_direct_product(base1, gens1, base1, gens1) + t0 = (base_f, gens_f, 2, 0) + t1 = (base_A, gens_A, 4, 0) + can = canonicalize(g, [list(range(4)), list(range(4, 14))], [0, 0], t0, t1) + assert can == [4,6,8, 5,10,12, 0,7, 1,11, 2,9, 3,13, 15,14] + + +def test_riemann_invariants(): + baser, gensr = riemann_bsgs + # R^{d0 d1}_{d1 d0}; ord = [d0,-d0,d1,-d1]; g = [0,2,3,1,4,5] + # T_c = -R^{d0 d1}_{d0 d1}; can = [0,2,1,3,5,4] + g = Permutation([0,2,3,1,4,5]) + can = canonicalize(g, list(range(2, 4)), 0, (baser, gensr, 1, 0)) + assert can == [0,2,1,3,5,4] + # use a non minimal BSGS + can = canonicalize(g, list(range(2, 4)), 0, ([2, 0], [Permutation([1,0,2,3,5,4]), Permutation([2,3,0,1,4,5])], 1, 0)) + assert can == [0,2,1,3,5,4] + + """ + The following tests in test_riemann_invariants and in + test_riemann_invariants1 have been checked using xperm.c from XPerm in + in [1] and with an older version contained in [2] + + [1] xperm.c part of xPerm written by J. M. Martin-Garcia + http://www.xact.es/index.html + [2] test_xperm.cc in cadabra by Kasper Peeters, http://cadabra.phi-sci.com/ + """ + # R_d11^d1_d0^d5 * R^{d6 d4 d0}_d5 * R_{d7 d2 d8 d9} * + # R_{d10 d3 d6 d4} * R^{d2 d7 d11}_d1 * R^{d8 d9 d3 d10} + # ord: contravariant d_k ->2*k, covariant d_k -> 2*k+1 + # T_c = R^{d0 d1 d2 d3} * R_{d0 d1}^{d4 d5} * R_{d2 d3}^{d6 d7} * + # R_{d4 d5}^{d8 d9} * R_{d6 d7}^{d10 d11} * R_{d8 d9 d10 d11} + g = Permutation([23,2,1,10,12,8,0,11,15,5,17,19,21,7,13,9,4,14,22,3,16,18,6,20,24,25]) + can = canonicalize(g, list(range(24)), 0, (baser, gensr, 6, 0)) + assert can == [0,2,4,6,1,3,8,10,5,7,12,14,9,11,16,18,13,15,20,22,17,19,21,23,24,25] + + # use a non minimal BSGS + can = canonicalize(g, list(range(24)), 0, ([2, 0], [Permutation([1,0,2,3,5,4]), Permutation([2,3,0,1,4,5])], 6, 0)) + assert can == [0,2,4,6,1,3,8,10,5,7,12,14,9,11,16,18,13,15,20,22,17,19,21,23,24,25] + + g = Permutation([0,2,5,7,4,6,9,11,8,10,13,15,12,14,17,19,16,18,21,23,20,22,25,27,24,26,29,31,28,30,33,35,32,34,37,39,36,38,1,3,40,41]) + can = canonicalize(g, list(range(40)), 0, (baser, gensr, 10, 0)) + assert can == [0,2,4,6,1,3,8,10,5,7,12,14,9,11,16,18,13,15,20,22,17,19,24,26,21,23,28,30,25,27,32,34,29,31,36,38,33,35,37,39,40,41] + + +@XFAIL +def test_riemann_invariants1(): + skip('takes too much time') + baser, gensr = riemann_bsgs + g = Permutation([17, 44, 11, 3, 0, 19, 23, 15, 38, 4, 25, 27, 43, 36, 22, 14, 8, 30, 41, 20, 2, 10, 12, 28, 18, 1, 29, 13, 37, 42, 33, 7, 9, 31, 24, 26, 39, 5, 34, 47, 32, 6, 21, 40, 35, 46, 45, 16, 48, 49]) + can = canonicalize(g, list(range(48)), 0, (baser, gensr, 12, 0)) + assert can == [0, 2, 4, 6, 1, 3, 8, 10, 5, 7, 12, 14, 9, 11, 16, 18, 13, 15, 20, 22, 17, 19, 24, 26, 21, 23, 28, 30, 25, 27, 32, 34, 29, 31, 36, 38, 33, 35, 40, 42, 37, 39, 44, 46, 41, 43, 45, 47, 48, 49] + + g = Permutation([0,2,4,6, 7,8,10,12, 14,16,18,20, 19,22,24,26, 5,21,28,30, 32,34,36,38, 40,42,44,46, 13,48,50,52, 15,49,54,56, 17,33,41,58, 9,23,60,62, 29,35,63,64, 3,45,66,68, 25,37,47,57, 11,31,69,70, 27,39,53,72, 1,59,73,74, 55,61,67,76, 43,65,75,78, 51,71,77,79, 80,81]) + can = canonicalize(g, list(range(80)), 0, (baser, gensr, 20, 0)) + assert can == [0,2,4,6, 1,8,10,12, 3,14,16,18, 5,20,22,24, 7,26,28,30, 9,15,32,34, 11,36,23,38, 13,40,42,44, 17,39,29,46, 19,48,43,50, 21,45,52,54, 25,56,33,58, 27,60,53,62, 31,51,64,66, 35,65,47,68, 37,70,49,72, 41,74,57,76, 55,67,59,78, 61,69,71,75, 63,79,73,77, 80,81] + + +def test_riemann_products(): + baser, gensr = riemann_bsgs + base1, gens1 = get_symmetric_group_sgs(1) + base2, gens2 = get_symmetric_group_sgs(2) + base2a, gens2a = get_symmetric_group_sgs(2, 1) + + # R^{a b d0}_d0 = 0 + g = Permutation([0,1,2,3,4,5]) + can = canonicalize(g, list(range(2,4)), 0, (baser, gensr, 1, 0)) + assert can == 0 + + # R^{d0 b a}_d0 ; ord = [a,b,d0,-d0}; g = [2,1,0,3,4,5] + # T_c = -R^{a d0 b}_d0; can = [0,2,1,3,5,4] + g = Permutation([2,1,0,3,4,5]) + can = canonicalize(g, list(range(2, 4)), 0, (baser, gensr, 1, 0)) + assert can == [0,2,1,3,5,4] + + # R^d1_d2^b_d0 * R^{d0 a}_d1^d2; ord=[a,b,d0,-d0,d1,-d1,d2,-d2] + # g = [4,7,1,3,2,0,5,6,8,9] + # T_c = -R^{a d0 d1 d2}* R^b_{d0 d1 d2} + # can = [0,2,4,6,1,3,5,7,9,8] + g = Permutation([4,7,1,3,2,0,5,6,8,9]) + can = canonicalize(g, list(range(2,8)), 0, (baser, gensr, 2, 0)) + assert can == [0,2,4,6,1,3,5,7,9,8] + can1 = canonicalize_naive(g, list(range(2,8)), 0, (baser, gensr, 2, 0)) + assert can == can1 + + # A symmetric commuting + # R^{d6 d5}_d2^d1 * R^{d4 d0 d2 d3} * A_{d6 d0} A_{d3 d1} * A_{d4 d5} + # g = [12,10,5,2, 8,0,4,6, 13,1, 7,3, 9,11,14,15] + # T_c = -R^{d0 d1 d2 d3} * R_d0^{d4 d5 d6} * A_{d1 d4}*A_{d2 d5}*A_{d3 d6} + + g = Permutation([12,10,5,2,8,0,4,6,13,1,7,3,9,11,14,15]) + can = canonicalize(g, list(range(14)), 0, ((baser,gensr,2,0)), (base2,gens2,3,0)) + assert can == [0, 2, 4, 6, 1, 8, 10, 12, 3, 9, 5, 11, 7, 13, 15, 14] + + # R^{d2 a0 a2 d0} * R^d1_d2^{a1 a3} * R^{a4 a5}_{d0 d1} + # ord = [a0,a1,a2,a3,a4,a5,d0,-d0,d1,-d1,d2,-d2] + # 0 1 2 3 4 5 6 7 8 9 10 11 + # can = [0, 6, 2, 8, 1, 3, 7, 10, 4, 5, 9, 11, 12, 13] + # T_c = R^{a0 d0 a2 d1}*R^{a1 a3}_d0^d2*R^{a4 a5}_{d1 d2} + g = Permutation([10,0,2,6,8,11,1,3,4,5,7,9,12,13]) + can = canonicalize(g, list(range(6,12)), 0, (baser, gensr, 3, 0)) + assert can == [0, 6, 2, 8, 1, 3, 7, 10, 4, 5, 9, 11, 12, 13] + #can1 = canonicalize_naive(g, list(range(6,12)), 0, (baser, gensr, 3, 0)) + #assert can == can1 + + # A^n_{i, j} antisymmetric in i,j + # A_m0^d0_a1 * A_m1^a0_d0; ord = [m0,m1,a0,a1,d0,-d0] + # g = [0,4,3,1,2,5,6,7] + # T_c = -A_{m a1}^d0 * A_m1^a0_d0 + # can = [0,3,4,1,2,5,7,6] + base, gens = bsgs_direct_product(base1, gens1, base2a, gens2a) + dummies = list(range(4, 6)) + g = Permutation([0,4,3,1,2,5,6,7]) + can = canonicalize(g, dummies, 0, (base, gens, 2, 0)) + assert can == [0, 3, 4, 1, 2, 5, 7, 6] + + + # A^n_{i, j} symmetric in i,j + # A^m0_a0^d2 * A^n0_d2^d1 * A^n1_d1^d0 * A_{m0 d0}^a1 + # ordering: first the free indices; then first n, then d + # ord=[n0,n1,a0,a1, m0,-m0,d0,-d0,d1,-d1,d2,-d2] + # 0 1 2 3 4 5 6 7 8 9 10 11] + # g = [4,2,10, 0,11,8, 1,9,6, 5,7,3, 12,13] + # if the dummy indices m_i and d_i were separated, + # one gets + # T_c = A^{n0 d0 d1} * A^n1_d0^d2 * A^m0^a0_d1 * A_m0^a1_d2 + # can = [0, 6, 8, 1, 7, 10, 4, 2, 9, 5, 3, 11, 12, 13] + # If they are not, so can is + # T_c = A^{n0 m0 d0} A^n1_m0^d1 A^{d2 a0}_d0 A_d2^a1_d1 + # can = [0, 4, 6, 1, 5, 8, 10, 2, 7, 11, 3, 9, 12, 13] + # case with single type of indices + + base, gens = bsgs_direct_product(base1, gens1, base2, gens2) + dummies = list(range(4, 12)) + g = Permutation([4,2,10, 0,11,8, 1,9,6, 5,7,3, 12,13]) + can = canonicalize(g, dummies, 0, (base, gens, 4, 0)) + assert can == [0, 4, 6, 1, 5, 8, 10, 2, 7, 11, 3, 9, 12, 13] + # case with separated indices + dummies = [list(range(4, 6)), list(range(6,12))] + sym = [0, 0] + can = canonicalize(g, dummies, sym, (base, gens, 4, 0)) + assert can == [0, 6, 8, 1, 7, 10, 4, 2, 9, 5, 3, 11, 12, 13] + # case with separated indices with the second type of index + # with antisymmetric metric: there is a sign change + sym = [0, 1] + can = canonicalize(g, dummies, sym, (base, gens, 4, 0)) + assert can == [0, 6, 8, 1, 7, 10, 4, 2, 9, 5, 3, 11, 13, 12] + +def test_graph_certificate(): + # test tensor invariants constructed from random regular graphs; + # checked graph isomorphism with networkx + import random + def randomize_graph(size, g): + p = list(range(size)) + random.shuffle(p) + g1a = {} + for k, v in g1.items(): + g1a[p[k]] = [p[i] for i in v] + return g1a + + g1 = {0: [2, 3, 7], 1: [4, 5, 7], 2: [0, 4, 6], 3: [0, 6, 7], 4: [1, 2, 5], 5: [1, 4, 6], 6: [2, 3, 5], 7: [0, 1, 3]} + g2 = {0: [2, 3, 7], 1: [2, 4, 5], 2: [0, 1, 5], 3: [0, 6, 7], 4: [1, 5, 6], 5: [1, 2, 4], 6: [3, 4, 7], 7: [0, 3, 6]} + + c1 = graph_certificate(g1) + c2 = graph_certificate(g2) + assert c1 != c2 + g1a = randomize_graph(8, g1) + c1a = graph_certificate(g1a) + assert c1 == c1a + + g1 = {0: [8, 1, 9, 7], 1: [0, 9, 3, 4], 2: [3, 4, 6, 7], 3: [1, 2, 5, 6], 4: [8, 1, 2, 5], 5: [9, 3, 4, 7], 6: [8, 2, 3, 7], 7: [0, 2, 5, 6], 8: [0, 9, 4, 6], 9: [8, 0, 5, 1]} + g2 = {0: [1, 2, 5, 6], 1: [0, 9, 5, 7], 2: [0, 4, 6, 7], 3: [8, 9, 6, 7], 4: [8, 2, 6, 7], 5: [0, 9, 8, 1], 6: [0, 2, 3, 4], 7: [1, 2, 3, 4], 8: [9, 3, 4, 5], 9: [8, 1, 3, 5]} + c1 = graph_certificate(g1) + c2 = graph_certificate(g2) + assert c1 != c2 + g1a = randomize_graph(10, g1) + c1a = graph_certificate(g1a) + assert c1 == c1a diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_testutil.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_testutil.py new file mode 100644 index 0000000000000000000000000000000000000000..736e7a4ff86967e41dca71cf12de6c387a82d26d --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_testutil.py @@ -0,0 +1,55 @@ +from sympy.combinatorics.named_groups import SymmetricGroup, AlternatingGroup,\ + CyclicGroup +from sympy.combinatorics.testutil import _verify_bsgs, _cmp_perm_lists,\ + _naive_list_centralizer, _verify_centralizer,\ + _verify_normal_closure +from sympy.combinatorics.permutations import Permutation +from sympy.combinatorics.perm_groups import PermutationGroup +from sympy.core.random import shuffle + + +def test_cmp_perm_lists(): + S = SymmetricGroup(4) + els = list(S.generate_dimino()) + other = els.copy() + shuffle(other) + assert _cmp_perm_lists(els, other) is True + + +def test_naive_list_centralizer(): + # verified by GAP + S = SymmetricGroup(3) + A = AlternatingGroup(3) + assert _naive_list_centralizer(S, S) == [Permutation([0, 1, 2])] + assert PermutationGroup(_naive_list_centralizer(S, A)).is_subgroup(A) + + +def test_verify_bsgs(): + S = SymmetricGroup(5) + S.schreier_sims() + base = S.base + strong_gens = S.strong_gens + assert _verify_bsgs(S, base, strong_gens) is True + assert _verify_bsgs(S, base[:-1], strong_gens) is False + assert _verify_bsgs(S, base, S.generators) is False + + +def test_verify_centralizer(): + # verified by GAP + S = SymmetricGroup(3) + A = AlternatingGroup(3) + triv = PermutationGroup([Permutation([0, 1, 2])]) + assert _verify_centralizer(S, S, centr=triv) + assert _verify_centralizer(S, A, centr=A) + + +def test_verify_normal_closure(): + # verified by GAP + S = SymmetricGroup(3) + A = AlternatingGroup(3) + assert _verify_normal_closure(S, A, closure=A) + S = SymmetricGroup(5) + A = AlternatingGroup(5) + C = CyclicGroup(5) + assert _verify_normal_closure(S, A, closure=A) + assert _verify_normal_closure(S, C, closure=A) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_util.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_util.py new file mode 100644 index 0000000000000000000000000000000000000000..bca183e81f354e398aee9ae809fe79b20c7f2468 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/combinatorics/tests/test_util.py @@ -0,0 +1,120 @@ +from sympy.combinatorics.named_groups import SymmetricGroup, DihedralGroup,\ + AlternatingGroup +from sympy.combinatorics.permutations import Permutation +from sympy.combinatorics.util import _check_cycles_alt_sym, _strip,\ + _distribute_gens_by_base, _strong_gens_from_distr,\ + _orbits_transversals_from_bsgs, _handle_precomputed_bsgs, _base_ordering,\ + _remove_gens +from sympy.combinatorics.testutil import _verify_bsgs + + +def test_check_cycles_alt_sym(): + perm1 = Permutation([[0, 1, 2, 3, 4, 5, 6], [7], [8], [9]]) + perm2 = Permutation([[0, 1, 2, 3, 4, 5], [6, 7, 8, 9]]) + perm3 = Permutation([[0, 1, 2, 3, 4], [5, 6, 7, 8, 9]]) + assert _check_cycles_alt_sym(perm1) is True + assert _check_cycles_alt_sym(perm2) is False + assert _check_cycles_alt_sym(perm3) is False + + +def test_strip(): + D = DihedralGroup(5) + D.schreier_sims() + member = Permutation([4, 0, 1, 2, 3]) + not_member1 = Permutation([0, 1, 4, 3, 2]) + not_member2 = Permutation([3, 1, 4, 2, 0]) + identity = Permutation([0, 1, 2, 3, 4]) + res1 = _strip(member, D.base, D.basic_orbits, D.basic_transversals) + res2 = _strip(not_member1, D.base, D.basic_orbits, D.basic_transversals) + res3 = _strip(not_member2, D.base, D.basic_orbits, D.basic_transversals) + assert res1[0] == identity + assert res1[1] == len(D.base) + 1 + assert res2[0] == not_member1 + assert res2[1] == len(D.base) + 1 + assert res3[0] != identity + assert res3[1] == 2 + + +def test_distribute_gens_by_base(): + base = [0, 1, 2] + gens = [Permutation([0, 1, 2, 3]), Permutation([0, 1, 3, 2]), + Permutation([0, 2, 3, 1]), Permutation([3, 2, 1, 0])] + assert _distribute_gens_by_base(base, gens) == [gens, + [Permutation([0, 1, 2, 3]), + Permutation([0, 1, 3, 2]), + Permutation([0, 2, 3, 1])], + [Permutation([0, 1, 2, 3]), + Permutation([0, 1, 3, 2])]] + + +def test_strong_gens_from_distr(): + strong_gens_distr = [[Permutation([0, 2, 1]), Permutation([1, 2, 0]), + Permutation([1, 0, 2])], [Permutation([0, 2, 1])]] + assert _strong_gens_from_distr(strong_gens_distr) == \ + [Permutation([0, 2, 1]), + Permutation([1, 2, 0]), + Permutation([1, 0, 2])] + + +def test_orbits_transversals_from_bsgs(): + S = SymmetricGroup(4) + S.schreier_sims() + base = S.base + strong_gens = S.strong_gens + strong_gens_distr = _distribute_gens_by_base(base, strong_gens) + result = _orbits_transversals_from_bsgs(base, strong_gens_distr) + orbits = result[0] + transversals = result[1] + base_len = len(base) + for i in range(base_len): + for el in orbits[i]: + assert transversals[i][el](base[i]) == el + for j in range(i): + assert transversals[i][el](base[j]) == base[j] + order = 1 + for i in range(base_len): + order *= len(orbits[i]) + assert S.order() == order + + +def test_handle_precomputed_bsgs(): + A = AlternatingGroup(5) + A.schreier_sims() + base = A.base + strong_gens = A.strong_gens + result = _handle_precomputed_bsgs(base, strong_gens) + strong_gens_distr = _distribute_gens_by_base(base, strong_gens) + assert strong_gens_distr == result[2] + transversals = result[0] + orbits = result[1] + base_len = len(base) + for i in range(base_len): + for el in orbits[i]: + assert transversals[i][el](base[i]) == el + for j in range(i): + assert transversals[i][el](base[j]) == base[j] + order = 1 + for i in range(base_len): + order *= len(orbits[i]) + assert A.order() == order + + +def test_base_ordering(): + base = [2, 4, 5] + degree = 7 + assert _base_ordering(base, degree) == [3, 4, 0, 5, 1, 2, 6] + + +def test_remove_gens(): + S = SymmetricGroup(10) + base, strong_gens = S.schreier_sims_incremental() + new_gens = _remove_gens(base, strong_gens) + assert _verify_bsgs(S, base, new_gens) is True + A = AlternatingGroup(7) + base, strong_gens = A.schreier_sims_incremental() + new_gens = _remove_gens(base, strong_gens) + assert _verify_bsgs(A, base, new_gens) is True + D = DihedralGroup(2) + base, strong_gens = 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b/tool_server/.venv/lib/python3.12/site-packages/sympy/concrete/tests/__pycache__/test_sums_products.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..04cd2b608a1f61e1301579eaf6044fe258e5834f --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/concrete/tests/__pycache__/test_sums_products.cpython-312.pyc @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:510db14fbd8bebe16fc27e6ccbd0c5299c897d7641afc5eaf1a74b3b5548e49f +size 163210 diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/concrete/tests/test_delta.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/concrete/tests/test_delta.py new file mode 100644 index 0000000000000000000000000000000000000000..9dc6e88d16346acc7dc775446d7de3f3696d0e03 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/concrete/tests/test_delta.py @@ -0,0 +1,499 @@ +from sympy.concrete import Sum +from sympy.concrete.delta import deltaproduct as dp, deltasummation as ds, _extract_delta +from sympy.core import Eq, S, symbols, oo +from sympy.functions import KroneckerDelta as KD, Piecewise, piecewise_fold +from sympy.logic import And +from sympy.testing.pytest import raises + +i, j, k, l, m = symbols("i j k l m", integer=True, finite=True) +x, y = symbols("x y", commutative=False) + + +def test_deltaproduct_trivial(): + assert dp(x, (j, 1, 0)) == 1 + assert dp(x, (j, 1, 3)) == x**3 + assert dp(x + y, (j, 1, 3)) == (x + y)**3 + assert dp(x*y, (j, 1, 3)) == (x*y)**3 + assert dp(KD(i, j), (k, 1, 3)) == KD(i, j) + assert dp(x*KD(i, j), (k, 1, 3)) == x**3*KD(i, j) + assert dp(x*y*KD(i, j), (k, 1, 3)) == (x*y)**3*KD(i, j) + + +def test_deltaproduct_basic(): + assert dp(KD(i, j), (j, 1, 3)) == 0 + assert dp(KD(i, j), (j, 1, 1)) == KD(i, 1) + assert dp(KD(i, j), (j, 2, 2)) == KD(i, 2) + assert dp(KD(i, j), (j, 3, 3)) == KD(i, 3) + assert dp(KD(i, j), (j, 1, k)) == KD(i, 1)*KD(k, 1) + KD(k, 0) + assert dp(KD(i, j), (j, k, 3)) == KD(i, 3)*KD(k, 3) + KD(k, 4) + assert dp(KD(i, j), (j, k, l)) == KD(i, l)*KD(k, l) + KD(k, l + 1) + + +def test_deltaproduct_mul_x_kd(): + assert dp(x*KD(i, j), (j, 1, 3)) == 0 + assert dp(x*KD(i, j), (j, 1, 1)) == x*KD(i, 1) + assert dp(x*KD(i, j), (j, 2, 2)) == x*KD(i, 2) + assert dp(x*KD(i, j), (j, 3, 3)) == x*KD(i, 3) + assert dp(x*KD(i, j), (j, 1, k)) == x*KD(i, 1)*KD(k, 1) + KD(k, 0) + assert dp(x*KD(i, j), (j, k, 3)) == x*KD(i, 3)*KD(k, 3) + KD(k, 4) + assert dp(x*KD(i, j), (j, k, l)) == x*KD(i, l)*KD(k, l) + KD(k, l + 1) + + +def test_deltaproduct_mul_add_x_y_kd(): + assert dp((x + y)*KD(i, j), (j, 1, 3)) == 0 + assert dp((x + y)*KD(i, j), (j, 1, 1)) == (x + y)*KD(i, 1) + assert dp((x + y)*KD(i, j), (j, 2, 2)) == (x + y)*KD(i, 2) + assert dp((x + y)*KD(i, j), (j, 3, 3)) == (x + y)*KD(i, 3) + assert dp((x + y)*KD(i, j), (j, 1, k)) == \ + (x + y)*KD(i, 1)*KD(k, 1) + KD(k, 0) + assert dp((x + y)*KD(i, j), (j, k, 3)) == \ + (x + y)*KD(i, 3)*KD(k, 3) + KD(k, 4) + assert dp((x + y)*KD(i, j), (j, k, l)) == \ + (x + y)*KD(i, l)*KD(k, l) + KD(k, l + 1) + + +def test_deltaproduct_add_kd_kd(): + assert dp(KD(i, k) + KD(j, k), (k, 1, 3)) == 0 + assert dp(KD(i, k) + KD(j, k), (k, 1, 1)) == KD(i, 1) + KD(j, 1) + assert dp(KD(i, k) + KD(j, k), (k, 2, 2)) == KD(i, 2) + KD(j, 2) + assert dp(KD(i, k) + KD(j, k), (k, 3, 3)) == KD(i, 3) + KD(j, 3) + assert dp(KD(i, k) + KD(j, k), (k, 1, l)) == KD(l, 0) + \ + KD(i, 1)*KD(l, 1) + KD(j, 1)*KD(l, 1) + \ + KD(i, 1)*KD(j, 2)*KD(l, 2) + KD(j, 1)*KD(i, 2)*KD(l, 2) + assert dp(KD(i, k) + KD(j, k), (k, l, 3)) == KD(l, 4) + \ + KD(i, 3)*KD(l, 3) + KD(j, 3)*KD(l, 3) + \ + KD(i, 2)*KD(j, 3)*KD(l, 2) + KD(i, 3)*KD(j, 2)*KD(l, 2) + assert dp(KD(i, k) + KD(j, k), (k, l, m)) == KD(l, m + 1) + \ + KD(i, m)*KD(l, m) + KD(j, m)*KD(l, m) + \ + KD(i, m)*KD(j, m - 1)*KD(l, m - 1) + KD(i, m - 1)*KD(j, m)*KD(l, m - 1) + + +def test_deltaproduct_mul_x_add_kd_kd(): + assert dp(x*(KD(i, k) + KD(j, k)), (k, 1, 3)) == 0 + assert dp(x*(KD(i, k) + KD(j, k)), (k, 1, 1)) == x*(KD(i, 1) + KD(j, 1)) + assert dp(x*(KD(i, k) + KD(j, k)), (k, 2, 2)) == x*(KD(i, 2) + KD(j, 2)) + assert dp(x*(KD(i, k) + KD(j, k)), (k, 3, 3)) == x*(KD(i, 3) + KD(j, 3)) + assert dp(x*(KD(i, k) + KD(j, k)), (k, 1, l)) == KD(l, 0) + \ + x*KD(i, 1)*KD(l, 1) + x*KD(j, 1)*KD(l, 1) + \ + x**2*KD(i, 1)*KD(j, 2)*KD(l, 2) + x**2*KD(j, 1)*KD(i, 2)*KD(l, 2) + assert dp(x*(KD(i, k) + KD(j, k)), (k, l, 3)) == KD(l, 4) + \ + x*KD(i, 3)*KD(l, 3) + x*KD(j, 3)*KD(l, 3) + \ + x**2*KD(i, 2)*KD(j, 3)*KD(l, 2) + x**2*KD(i, 3)*KD(j, 2)*KD(l, 2) + assert dp(x*(KD(i, k) + KD(j, k)), (k, l, m)) == KD(l, m + 1) + \ + x*KD(i, m)*KD(l, m) + x*KD(j, m)*KD(l, m) + \ + x**2*KD(i, m - 1)*KD(j, m)*KD(l, m - 1) + \ + x**2*KD(i, m)*KD(j, m - 1)*KD(l, m - 1) + + +def test_deltaproduct_mul_add_x_y_add_kd_kd(): + assert dp((x + y)*(KD(i, k) + KD(j, k)), (k, 1, 3)) == 0 + assert dp((x + y)*(KD(i, k) + KD(j, k)), (k, 1, 1)) == \ + (x + y)*(KD(i, 1) + KD(j, 1)) + assert dp((x + y)*(KD(i, k) + KD(j, k)), (k, 2, 2)) == \ + (x + y)*(KD(i, 2) + KD(j, 2)) + assert dp((x + y)*(KD(i, k) + KD(j, k)), (k, 3, 3)) == \ + (x + y)*(KD(i, 3) + KD(j, 3)) + assert dp((x + y)*(KD(i, k) + KD(j, k)), (k, 1, l)) == KD(l, 0) + \ + (x + y)*KD(i, 1)*KD(l, 1) + (x + y)*KD(j, 1)*KD(l, 1) + \ + (x + y)**2*KD(i, 1)*KD(j, 2)*KD(l, 2) + \ + (x + y)**2*KD(j, 1)*KD(i, 2)*KD(l, 2) + assert dp((x + y)*(KD(i, k) + KD(j, k)), (k, l, 3)) == KD(l, 4) + \ + (x + y)*KD(i, 3)*KD(l, 3) + (x + y)*KD(j, 3)*KD(l, 3) + \ + (x + y)**2*KD(i, 2)*KD(j, 3)*KD(l, 2) + \ + (x + y)**2*KD(i, 3)*KD(j, 2)*KD(l, 2) + assert dp((x + y)*(KD(i, k) + KD(j, k)), (k, l, m)) == KD(l, m + 1) + \ + (x + y)*KD(i, m)*KD(l, m) + (x + y)*KD(j, m)*KD(l, m) + \ + (x + y)**2*KD(i, m - 1)*KD(j, m)*KD(l, m - 1) + \ + (x + y)**2*KD(i, m)*KD(j, m - 1)*KD(l, m - 1) + + +def test_deltaproduct_add_mul_x_y_mul_x_kd(): + assert dp(x*y + x*KD(i, j), (j, 1, 3)) == (x*y)**3 + \ + x*(x*y)**2*KD(i, 1) + (x*y)*x*(x*y)*KD(i, 2) + (x*y)**2*x*KD(i, 3) + assert dp(x*y + x*KD(i, j), (j, 1, 1)) == x*y + x*KD(i, 1) + assert dp(x*y + x*KD(i, j), (j, 2, 2)) == x*y + x*KD(i, 2) + assert dp(x*y + x*KD(i, j), (j, 3, 3)) == x*y + x*KD(i, 3) + assert dp(x*y + x*KD(i, j), (j, 1, k)) == \ + (x*y)**k + Piecewise( + ((x*y)**(i - 1)*x*(x*y)**(k - i), And(1 <= i, i <= k)), + (0, True) + ) + assert dp(x*y + x*KD(i, j), (j, k, 3)) == \ + (x*y)**(-k + 4) + Piecewise( + ((x*y)**(i - k)*x*(x*y)**(3 - i), And(k <= i, i <= 3)), + (0, True) + ) + assert dp(x*y + x*KD(i, j), (j, k, l)) == \ + (x*y)**(-k + l + 1) + Piecewise( + ((x*y)**(i - k)*x*(x*y)**(l - i), And(k <= i, i <= l)), + (0, True) + ) + + +def test_deltaproduct_mul_x_add_y_kd(): + assert dp(x*(y + KD(i, j)), (j, 1, 3)) == (x*y)**3 + \ + x*(x*y)**2*KD(i, 1) + (x*y)*x*(x*y)*KD(i, 2) + (x*y)**2*x*KD(i, 3) + assert dp(x*(y + KD(i, j)), (j, 1, 1)) == x*(y + KD(i, 1)) + assert dp(x*(y + KD(i, j)), (j, 2, 2)) == x*(y + KD(i, 2)) + assert dp(x*(y + KD(i, j)), (j, 3, 3)) == x*(y + KD(i, 3)) + assert dp(x*(y + KD(i, j)), (j, 1, k)) == \ + (x*y)**k + Piecewise( + ((x*y)**(i - 1)*x*(x*y)**(k - i), And(1 <= i, i <= k)), + (0, True) + ).expand() + assert dp(x*(y + KD(i, j)), (j, k, 3)) == \ + ((x*y)**(-k + 4) + Piecewise( + ((x*y)**(i - k)*x*(x*y)**(3 - i), And(k <= i, i <= 3)), + (0, True) + )).expand() + assert dp(x*(y + KD(i, j)), (j, k, l)) == \ + ((x*y)**(-k + l + 1) + Piecewise( + ((x*y)**(i - k)*x*(x*y)**(l - i), And(k <= i, i <= l)), + (0, True) + )).expand() + + +def test_deltaproduct_mul_x_add_y_twokd(): + assert dp(x*(y + 2*KD(i, j)), (j, 1, 3)) == (x*y)**3 + \ + 2*x*(x*y)**2*KD(i, 1) + 2*x*y*x*x*y*KD(i, 2) + 2*(x*y)**2*x*KD(i, 3) + assert dp(x*(y + 2*KD(i, j)), (j, 1, 1)) == x*(y + 2*KD(i, 1)) + assert dp(x*(y + 2*KD(i, j)), (j, 2, 2)) == x*(y + 2*KD(i, 2)) + assert dp(x*(y + 2*KD(i, j)), (j, 3, 3)) == x*(y + 2*KD(i, 3)) + assert dp(x*(y + 2*KD(i, j)), (j, 1, k)) == \ + (x*y)**k + Piecewise( + (2*(x*y)**(i - 1)*x*(x*y)**(k - i), And(1 <= i, i <= k)), + (0, True) + ).expand() + assert dp(x*(y + 2*KD(i, j)), (j, k, 3)) == \ + ((x*y)**(-k + 4) + Piecewise( + (2*(x*y)**(i - k)*x*(x*y)**(3 - i), And(k <= i, i <= 3)), + (0, True) + )).expand() + assert dp(x*(y + 2*KD(i, j)), (j, k, l)) == \ + ((x*y)**(-k + l + 1) + Piecewise( + (2*(x*y)**(i - k)*x*(x*y)**(l - i), And(k <= i, i <= l)), + (0, True) + )).expand() + + +def test_deltaproduct_mul_add_x_y_add_y_kd(): + assert dp((x + y)*(y + KD(i, j)), (j, 1, 3)) == ((x + y)*y)**3 + \ + (x + y)*((x + y)*y)**2*KD(i, 1) + \ + (x + y)*y*(x + y)**2*y*KD(i, 2) + \ + ((x + y)*y)**2*(x + y)*KD(i, 3) + assert dp((x + y)*(y + KD(i, j)), (j, 1, 1)) == (x + y)*(y + KD(i, 1)) + assert dp((x + y)*(y + KD(i, j)), (j, 2, 2)) == (x + y)*(y + KD(i, 2)) + assert dp((x + y)*(y + KD(i, j)), (j, 3, 3)) == (x + y)*(y + KD(i, 3)) + assert dp((x + y)*(y + KD(i, j)), (j, 1, k)) == \ + ((x + y)*y)**k + Piecewise( + (((x + y)*y)**(-1)*((x + y)*y)**i*(x + y)*((x + y)*y + )**k*((x + y)*y)**(-i), (i >= 1) & (i <= k)), (0, True)) + assert dp((x + y)*(y + KD(i, j)), (j, k, 3)) == ( + (x + y)*y)**4*((x + y)*y)**(-k) + Piecewise((((x + y)*y)**i*( + (x + y)*y)**(-k)*(x + y)*((x + y)*y)**3*((x + y)*y)**(-i), + (i >= k) & (i <= 3)), (0, True)) + assert dp((x + y)*(y + KD(i, j)), (j, k, l)) == \ + (x + y)*y*((x + y)*y)**l*((x + y)*y)**(-k) + Piecewise( + (((x + y)*y)**i*((x + y)*y)**(-k)*(x + y)*((x + y)*y + )**l*((x + y)*y)**(-i), (i >= k) & (i <= l)), (0, True)) + + +def test_deltaproduct_mul_add_x_kd_add_y_kd(): + assert dp((x + KD(i, k))*(y + KD(i, j)), (j, 1, 3)) == \ + KD(i, 1)*(KD(i, k) + x)*((KD(i, k) + x)*y)**2 + \ + KD(i, 2)*(KD(i, k) + x)*y*(KD(i, k) + x)**2*y + \ + KD(i, 3)*((KD(i, k) + x)*y)**2*(KD(i, k) + x) + \ + ((KD(i, k) + x)*y)**3 + assert dp((x + KD(i, k))*(y + KD(i, j)), (j, 1, 1)) == \ + (x + KD(i, k))*(y + KD(i, 1)) + assert dp((x + KD(i, k))*(y + KD(i, j)), (j, 2, 2)) == \ + (x + KD(i, k))*(y + KD(i, 2)) + assert dp((x + KD(i, k))*(y + KD(i, j)), (j, 3, 3)) == \ + (x + KD(i, k))*(y + KD(i, 3)) + assert dp((x + KD(i, k))*(y + KD(i, j)), (j, 1, k)) == \ + ((KD(i, k) + x)*y)**k + Piecewise( + (((KD(i, k) + x)*y)**(-1)*((KD(i, k) + x)*y)**i*(KD(i, k) + x + )*((KD(i, k) + x)*y)**k*((KD(i, k) + x)*y)**(-i), (i >= 1 + ) & (i <= k)), (0, True)) + assert dp((x + KD(i, k))*(y + KD(i, j)), (j, k, 3)) == ( + (KD(i, k) + x)*y)**4*((KD(i, k) + x)*y)**(-k) + Piecewise( + (((KD(i, k) + x)*y)**i*((KD(i, k) + x)*y)**(-k)*(KD(i, k) + + x)*((KD(i, k) + x)*y)**3*((KD(i, k) + x)*y)**(-i), + (i >= k) & (i <= 3)), (0, True)) + assert dp((x + KD(i, k))*(y + KD(i, j)), (j, k, l)) == ( + KD(i, k) + x)*y*((KD(i, k) + x)*y)**l*((KD(i, k) + x)*y + )**(-k) + Piecewise((((KD(i, k) + x)*y)**i*((KD(i, k) + x + )*y)**(-k)*(KD(i, k) + x)*((KD(i, k) + x)*y)**l*((KD(i, k) + x + )*y)**(-i), (i >= k) & (i <= l)), (0, True)) + + +def test_deltasummation_trivial(): + assert ds(x, (j, 1, 0)) == 0 + assert ds(x, (j, 1, 3)) == 3*x + assert ds(x + y, (j, 1, 3)) == 3*(x + y) + assert ds(x*y, (j, 1, 3)) == 3*x*y + assert ds(KD(i, j), (k, 1, 3)) == 3*KD(i, j) + assert ds(x*KD(i, j), (k, 1, 3)) == 3*x*KD(i, j) + assert ds(x*y*KD(i, j), (k, 1, 3)) == 3*x*y*KD(i, j) + + +def test_deltasummation_basic_numerical(): + n = symbols('n', integer=True, nonzero=True) + assert ds(KD(n, 0), (n, 1, 3)) == 0 + + # return unevaluated, until it gets implemented + assert ds(KD(i**2, j**2), (j, -oo, oo)) == \ + Sum(KD(i**2, j**2), (j, -oo, oo)) + + assert Piecewise((KD(i, k), And(1 <= i, i <= 3)), (0, True)) == \ + ds(KD(i, j)*KD(j, k), (j, 1, 3)) == \ + ds(KD(j, k)*KD(i, j), (j, 1, 3)) + + assert ds(KD(i, k), (k, -oo, oo)) == 1 + assert ds(KD(i, k), (k, 0, oo)) == Piecewise((1, S.Zero <= i), (0, True)) + assert ds(KD(i, k), (k, 1, 3)) == \ + Piecewise((1, And(1 <= i, i <= 3)), (0, True)) + assert ds(k*KD(i, j)*KD(j, k), (k, -oo, oo)) == j*KD(i, j) + assert ds(j*KD(i, j), (j, -oo, oo)) == i + assert ds(i*KD(i, j), (i, -oo, oo)) == j + assert ds(x, (i, 1, 3)) == 3*x + assert ds((i + j)*KD(i, j), (j, -oo, oo)) == 2*i + + +def test_deltasummation_basic_symbolic(): + assert ds(KD(i, j), (j, 1, 3)) == \ + Piecewise((1, And(1 <= i, i <= 3)), (0, True)) + assert ds(KD(i, j), (j, 1, 1)) == Piecewise((1, Eq(i, 1)), (0, True)) + assert ds(KD(i, j), (j, 2, 2)) == Piecewise((1, Eq(i, 2)), (0, True)) + assert ds(KD(i, j), (j, 3, 3)) == Piecewise((1, Eq(i, 3)), (0, True)) + assert ds(KD(i, j), (j, 1, k)) == \ + Piecewise((1, And(1 <= i, i <= k)), (0, True)) + assert ds(KD(i, j), (j, k, 3)) == \ + Piecewise((1, And(k <= i, i <= 3)), (0, True)) + assert ds(KD(i, j), (j, k, l)) == \ + Piecewise((1, And(k <= i, i <= l)), (0, True)) + + +def test_deltasummation_mul_x_kd(): + assert ds(x*KD(i, j), (j, 1, 3)) == \ + Piecewise((x, And(1 <= i, i <= 3)), (0, True)) + assert ds(x*KD(i, j), (j, 1, 1)) == Piecewise((x, Eq(i, 1)), (0, True)) + assert ds(x*KD(i, j), (j, 2, 2)) == Piecewise((x, Eq(i, 2)), (0, True)) + assert ds(x*KD(i, j), (j, 3, 3)) == Piecewise((x, Eq(i, 3)), (0, True)) + assert ds(x*KD(i, j), (j, 1, k)) == \ + Piecewise((x, And(1 <= i, i <= k)), (0, True)) + assert ds(x*KD(i, j), (j, k, 3)) == \ + Piecewise((x, And(k <= i, i <= 3)), (0, True)) + assert ds(x*KD(i, j), (j, k, l)) == \ + Piecewise((x, And(k <= i, i <= l)), (0, True)) + + +def test_deltasummation_mul_add_x_y_kd(): + assert ds((x + y)*KD(i, j), (j, 1, 3)) == \ + Piecewise((x + y, And(1 <= i, i <= 3)), (0, True)) + assert ds((x + y)*KD(i, j), (j, 1, 1)) == \ + Piecewise((x + y, Eq(i, 1)), (0, True)) + assert ds((x + y)*KD(i, j), (j, 2, 2)) == \ + Piecewise((x + y, Eq(i, 2)), (0, True)) + assert ds((x + y)*KD(i, j), (j, 3, 3)) == \ + Piecewise((x + y, Eq(i, 3)), (0, True)) + assert ds((x + y)*KD(i, j), (j, 1, k)) == \ + Piecewise((x + y, And(1 <= i, i <= k)), (0, True)) + assert ds((x + y)*KD(i, j), (j, k, 3)) == \ + Piecewise((x + y, And(k <= i, i <= 3)), (0, True)) + assert ds((x + y)*KD(i, j), (j, k, l)) == \ + Piecewise((x + y, And(k <= i, i <= l)), (0, True)) + + +def test_deltasummation_add_kd_kd(): + assert ds(KD(i, k) + KD(j, k), (k, 1, 3)) == piecewise_fold( + Piecewise((1, And(1 <= i, i <= 3)), (0, True)) + + Piecewise((1, And(1 <= j, j <= 3)), (0, True))) + assert ds(KD(i, k) + KD(j, k), (k, 1, 1)) == piecewise_fold( + Piecewise((1, Eq(i, 1)), (0, True)) + + Piecewise((1, Eq(j, 1)), (0, True))) + assert ds(KD(i, k) + KD(j, k), (k, 2, 2)) == piecewise_fold( + Piecewise((1, Eq(i, 2)), (0, True)) + + Piecewise((1, Eq(j, 2)), (0, True))) + assert ds(KD(i, k) + KD(j, k), (k, 3, 3)) == piecewise_fold( + Piecewise((1, Eq(i, 3)), (0, True)) + + Piecewise((1, Eq(j, 3)), (0, True))) + assert ds(KD(i, k) + KD(j, k), (k, 1, l)) == piecewise_fold( + Piecewise((1, And(1 <= i, i <= l)), (0, True)) + + Piecewise((1, And(1 <= j, j <= l)), (0, True))) + assert ds(KD(i, k) + KD(j, k), (k, l, 3)) == piecewise_fold( + Piecewise((1, And(l <= i, i <= 3)), (0, True)) + + Piecewise((1, And(l <= j, j <= 3)), (0, True))) + assert ds(KD(i, k) + KD(j, k), (k, l, m)) == piecewise_fold( + Piecewise((1, And(l <= i, i <= m)), (0, True)) + + Piecewise((1, And(l <= j, j <= m)), (0, True))) + + +def test_deltasummation_add_mul_x_kd_kd(): + assert ds(x*KD(i, k) + KD(j, k), (k, 1, 3)) == piecewise_fold( + Piecewise((x, And(1 <= i, i <= 3)), (0, True)) + + Piecewise((1, And(1 <= j, j <= 3)), (0, True))) + assert ds(x*KD(i, k) + KD(j, k), (k, 1, 1)) == piecewise_fold( + Piecewise((x, Eq(i, 1)), (0, True)) + + Piecewise((1, Eq(j, 1)), (0, True))) + assert ds(x*KD(i, k) + KD(j, k), (k, 2, 2)) == piecewise_fold( + Piecewise((x, Eq(i, 2)), (0, True)) + + Piecewise((1, Eq(j, 2)), (0, True))) + assert ds(x*KD(i, k) + KD(j, k), (k, 3, 3)) == piecewise_fold( + Piecewise((x, Eq(i, 3)), (0, True)) + + Piecewise((1, Eq(j, 3)), (0, True))) + assert ds(x*KD(i, k) + KD(j, k), (k, 1, l)) == piecewise_fold( + Piecewise((x, And(1 <= i, i <= l)), (0, True)) + + Piecewise((1, And(1 <= j, j <= l)), (0, True))) + assert ds(x*KD(i, k) + KD(j, k), (k, l, 3)) == piecewise_fold( + Piecewise((x, And(l <= i, i <= 3)), (0, True)) + + Piecewise((1, And(l <= j, j <= 3)), (0, True))) + assert ds(x*KD(i, k) + KD(j, k), (k, l, m)) == piecewise_fold( + Piecewise((x, And(l <= i, i <= m)), (0, True)) + + Piecewise((1, And(l <= j, j <= m)), (0, True))) + + +def test_deltasummation_mul_x_add_kd_kd(): + assert ds(x*(KD(i, k) + KD(j, k)), (k, 1, 3)) == piecewise_fold( + Piecewise((x, And(1 <= i, i <= 3)), (0, True)) + + Piecewise((x, And(1 <= j, j <= 3)), (0, True))) + assert ds(x*(KD(i, k) + KD(j, k)), (k, 1, 1)) == piecewise_fold( + Piecewise((x, Eq(i, 1)), (0, True)) + + Piecewise((x, Eq(j, 1)), (0, True))) + assert ds(x*(KD(i, k) + KD(j, k)), (k, 2, 2)) == piecewise_fold( + Piecewise((x, Eq(i, 2)), (0, True)) + + Piecewise((x, Eq(j, 2)), (0, True))) + assert ds(x*(KD(i, k) + KD(j, k)), (k, 3, 3)) == piecewise_fold( + Piecewise((x, Eq(i, 3)), (0, True)) + + Piecewise((x, Eq(j, 3)), (0, True))) + assert ds(x*(KD(i, k) + KD(j, k)), (k, 1, l)) == piecewise_fold( + Piecewise((x, And(1 <= i, i <= l)), (0, True)) + + Piecewise((x, And(1 <= j, j <= l)), (0, True))) + assert ds(x*(KD(i, k) + KD(j, k)), (k, l, 3)) == piecewise_fold( + Piecewise((x, And(l <= i, i <= 3)), (0, True)) + + Piecewise((x, And(l <= j, j <= 3)), (0, True))) + assert ds(x*(KD(i, k) + KD(j, k)), (k, l, m)) == piecewise_fold( + Piecewise((x, And(l <= i, i <= m)), (0, True)) + + Piecewise((x, And(l <= j, j <= m)), (0, True))) + + +def test_deltasummation_mul_add_x_y_add_kd_kd(): + assert ds((x + y)*(KD(i, k) + KD(j, k)), (k, 1, 3)) == piecewise_fold( + Piecewise((x + y, And(1 <= i, i <= 3)), (0, True)) + + Piecewise((x + y, And(1 <= j, j <= 3)), (0, True))) + assert ds((x + y)*(KD(i, k) + KD(j, k)), (k, 1, 1)) == piecewise_fold( + Piecewise((x + y, Eq(i, 1)), (0, True)) + + Piecewise((x + y, Eq(j, 1)), (0, True))) + assert ds((x + y)*(KD(i, k) + KD(j, k)), (k, 2, 2)) == piecewise_fold( + Piecewise((x + y, Eq(i, 2)), (0, True)) + + Piecewise((x + y, Eq(j, 2)), (0, True))) + assert ds((x + y)*(KD(i, k) + KD(j, k)), (k, 3, 3)) == piecewise_fold( + Piecewise((x + y, Eq(i, 3)), (0, True)) + + Piecewise((x + y, Eq(j, 3)), (0, True))) + assert ds((x + y)*(KD(i, k) + KD(j, k)), (k, 1, l)) == piecewise_fold( + Piecewise((x + y, And(1 <= i, i <= l)), (0, True)) + + Piecewise((x + y, And(1 <= j, j <= l)), (0, True))) + assert ds((x + y)*(KD(i, k) + KD(j, k)), (k, l, 3)) == piecewise_fold( + Piecewise((x + y, And(l <= i, i <= 3)), (0, True)) + + Piecewise((x + y, And(l <= j, j <= 3)), (0, True))) + assert ds((x + y)*(KD(i, k) + KD(j, k)), (k, l, m)) == piecewise_fold( + Piecewise((x + y, And(l <= i, i <= m)), (0, True)) + + Piecewise((x + y, And(l <= j, j <= m)), (0, True))) + + +def test_deltasummation_add_mul_x_y_mul_x_kd(): + assert ds(x*y + x*KD(i, j), (j, 1, 3)) == \ + Piecewise((3*x*y + x, And(1 <= i, i <= 3)), (3*x*y, True)) + assert ds(x*y + x*KD(i, j), (j, 1, 1)) == \ + Piecewise((x*y + x, Eq(i, 1)), (x*y, True)) + assert ds(x*y + x*KD(i, j), (j, 2, 2)) == \ + Piecewise((x*y + x, Eq(i, 2)), (x*y, True)) + assert ds(x*y + x*KD(i, j), (j, 3, 3)) == \ + Piecewise((x*y + x, Eq(i, 3)), (x*y, True)) + assert ds(x*y + x*KD(i, j), (j, 1, k)) == \ + Piecewise((k*x*y + x, And(1 <= i, i <= k)), (k*x*y, True)) + assert ds(x*y + x*KD(i, j), (j, k, 3)) == \ + Piecewise(((4 - k)*x*y + x, And(k <= i, i <= 3)), ((4 - k)*x*y, True)) + assert ds(x*y + x*KD(i, j), (j, k, l)) == Piecewise( + ((l - k + 1)*x*y + x, And(k <= i, i <= l)), ((l - k + 1)*x*y, True)) + + +def test_deltasummation_mul_x_add_y_kd(): + assert ds(x*(y + KD(i, j)), (j, 1, 3)) == \ + Piecewise((3*x*y + x, And(1 <= i, i <= 3)), (3*x*y, True)) + assert ds(x*(y + KD(i, j)), (j, 1, 1)) == \ + Piecewise((x*y + x, Eq(i, 1)), (x*y, True)) + assert ds(x*(y + KD(i, j)), (j, 2, 2)) == \ + Piecewise((x*y + x, Eq(i, 2)), (x*y, True)) + assert ds(x*(y + KD(i, j)), (j, 3, 3)) == \ + Piecewise((x*y + x, Eq(i, 3)), (x*y, True)) + assert ds(x*(y + KD(i, j)), (j, 1, k)) == \ + Piecewise((k*x*y + x, And(1 <= i, i <= k)), (k*x*y, True)) + assert ds(x*(y + KD(i, j)), (j, k, 3)) == \ + Piecewise(((4 - k)*x*y + x, And(k <= i, i <= 3)), ((4 - k)*x*y, True)) + assert ds(x*(y + KD(i, j)), (j, k, l)) == Piecewise( + ((l - k + 1)*x*y + x, And(k <= i, i <= l)), ((l - k + 1)*x*y, True)) + + +def test_deltasummation_mul_x_add_y_twokd(): + assert ds(x*(y + 2*KD(i, j)), (j, 1, 3)) == \ + Piecewise((3*x*y + 2*x, And(1 <= i, i <= 3)), (3*x*y, True)) + assert ds(x*(y + 2*KD(i, j)), (j, 1, 1)) == \ + Piecewise((x*y + 2*x, Eq(i, 1)), (x*y, True)) + assert ds(x*(y + 2*KD(i, j)), (j, 2, 2)) == \ + Piecewise((x*y + 2*x, Eq(i, 2)), (x*y, True)) + assert ds(x*(y + 2*KD(i, j)), (j, 3, 3)) == \ + Piecewise((x*y + 2*x, Eq(i, 3)), (x*y, True)) + assert ds(x*(y + 2*KD(i, j)), (j, 1, k)) == \ + Piecewise((k*x*y + 2*x, And(1 <= i, i <= k)), (k*x*y, True)) + assert ds(x*(y + 2*KD(i, j)), (j, k, 3)) == Piecewise( + ((4 - k)*x*y + 2*x, And(k <= i, i <= 3)), ((4 - k)*x*y, True)) + assert ds(x*(y + 2*KD(i, j)), (j, k, l)) == Piecewise( + ((l - k + 1)*x*y + 2*x, And(k <= i, i <= l)), ((l - k + 1)*x*y, True)) + + +def test_deltasummation_mul_add_x_y_add_y_kd(): + assert ds((x + y)*(y + KD(i, j)), (j, 1, 3)) == Piecewise( + (3*(x + y)*y + x + y, And(1 <= i, i <= 3)), (3*(x + y)*y, True)) + assert ds((x + y)*(y + KD(i, j)), (j, 1, 1)) == \ + Piecewise(((x + y)*y + x + y, Eq(i, 1)), ((x + y)*y, True)) + assert ds((x + y)*(y + KD(i, j)), (j, 2, 2)) == \ + Piecewise(((x + y)*y + x + y, Eq(i, 2)), ((x + y)*y, True)) + assert ds((x + y)*(y + KD(i, j)), (j, 3, 3)) == \ + Piecewise(((x + y)*y + x + y, Eq(i, 3)), ((x + y)*y, True)) + assert ds((x + y)*(y + KD(i, j)), (j, 1, k)) == Piecewise( + (k*(x + y)*y + x + y, And(1 <= i, i <= k)), (k*(x + y)*y, True)) + assert ds((x + y)*(y + KD(i, j)), (j, k, 3)) == Piecewise( + ((4 - k)*(x + y)*y + x + y, And(k <= i, i <= 3)), + ((4 - k)*(x + y)*y, True)) + assert ds((x + y)*(y + KD(i, j)), (j, k, l)) == Piecewise( + ((l - k + 1)*(x + y)*y + x + y, And(k <= i, i <= l)), + ((l - k + 1)*(x + y)*y, True)) + + +def test_deltasummation_mul_add_x_kd_add_y_kd(): + assert ds((x + KD(i, k))*(y + KD(i, j)), (j, 1, 3)) == piecewise_fold( + Piecewise((KD(i, k) + x, And(1 <= i, i <= 3)), (0, True)) + + 3*(KD(i, k) + x)*y) + assert ds((x + KD(i, k))*(y + KD(i, j)), (j, 1, 1)) == piecewise_fold( + Piecewise((KD(i, k) + x, Eq(i, 1)), (0, True)) + + (KD(i, k) + x)*y) + assert ds((x + KD(i, k))*(y + KD(i, j)), (j, 2, 2)) == piecewise_fold( + Piecewise((KD(i, k) + x, Eq(i, 2)), (0, True)) + + (KD(i, k) + x)*y) + assert ds((x + KD(i, k))*(y + KD(i, j)), (j, 3, 3)) == piecewise_fold( + Piecewise((KD(i, k) + x, Eq(i, 3)), (0, True)) + + (KD(i, k) + x)*y) + assert ds((x + KD(i, k))*(y + KD(i, j)), (j, 1, k)) == piecewise_fold( + Piecewise((KD(i, k) + x, And(1 <= i, i <= k)), (0, True)) + + k*(KD(i, k) + x)*y) + assert ds((x + KD(i, k))*(y + KD(i, j)), (j, k, 3)) == piecewise_fold( + Piecewise((KD(i, k) + x, And(k <= i, i <= 3)), (0, True)) + + (4 - k)*(KD(i, k) + x)*y) + assert ds((x + KD(i, k))*(y + KD(i, j)), (j, k, l)) == piecewise_fold( + Piecewise((KD(i, k) + x, And(k <= i, i <= l)), (0, True)) + + (l - k + 1)*(KD(i, k) + x)*y) + + +def test_extract_delta(): + raises(ValueError, lambda: _extract_delta(KD(i, j) + KD(k, l), i)) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/concrete/tests/test_gosper.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/concrete/tests/test_gosper.py new file mode 100644 index 0000000000000000000000000000000000000000..77b642a9b7cd55f96840a8e20e517206b6a6f8f0 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/concrete/tests/test_gosper.py @@ -0,0 +1,204 @@ +"""Tests for Gosper's algorithm for hypergeometric summation. """ + +from sympy.core.numbers import (Rational, pi) +from sympy.core.singleton import S +from sympy.core.symbol import Symbol +from sympy.functions.combinatorial.factorials import (binomial, factorial) +from sympy.functions.elementary.exponential import (exp, log) +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.special.gamma_functions import gamma +from sympy.polys.polytools import Poly +from sympy.simplify.simplify import simplify +from sympy.concrete.gosper import gosper_normal, gosper_sum, gosper_term +from sympy.abc import a, b, j, k, m, n, r, x + + +def test_gosper_normal(): + eq = 4*n + 5, 2*(4*n + 1)*(2*n + 3), n + assert gosper_normal(*eq) == \ + (Poly(Rational(1, 4), n), Poly(n + Rational(3, 2)), Poly(n + Rational(1, 4))) + assert gosper_normal(*eq, polys=False) == \ + (Rational(1, 4), n + Rational(3, 2), n + Rational(1, 4)) + + +def test_gosper_term(): + assert gosper_term((4*k + 1)*factorial( + k)/factorial(2*k + 1), k) == (-k - S.Half)/(k + Rational(1, 4)) + + +def test_gosper_sum(): + assert gosper_sum(1, (k, 0, n)) == 1 + n + assert gosper_sum(k, (k, 0, n)) == n*(1 + n)/2 + assert gosper_sum(k**2, (k, 0, n)) == n*(1 + n)*(1 + 2*n)/6 + assert gosper_sum(k**3, (k, 0, n)) == n**2*(1 + n)**2/4 + + assert gosper_sum(2**k, (k, 0, n)) == 2*2**n - 1 + + assert gosper_sum(factorial(k), (k, 0, n)) is None + assert gosper_sum(binomial(n, k), (k, 0, n)) is None + + assert gosper_sum(factorial(k)/k**2, (k, 0, n)) is None + assert gosper_sum((k - 3)*factorial(k), (k, 0, n)) is None + + assert gosper_sum(k*factorial(k), k) == factorial(k) + assert gosper_sum( + k*factorial(k), (k, 0, n)) == n*factorial(n) + factorial(n) - 1 + + assert gosper_sum((-1)**k*binomial(n, k), (k, 0, n)) == 0 + assert gosper_sum(( + -1)**k*binomial(n, k), (k, 0, m)) == -(-1)**m*(m - n)*binomial(n, m)/n + + assert gosper_sum((4*k + 1)*factorial(k)/factorial(2*k + 1), (k, 0, n)) == \ + (2*factorial(2*n + 1) - factorial(n))/factorial(2*n + 1) + + # issue 6033: + assert gosper_sum( + n*(n + a + b)*a**n*b**n/(factorial(n + a)*factorial(n + b)), \ + (n, 0, m)).simplify() == -exp(m*log(a) + m*log(b))*gamma(a + 1) \ + *gamma(b + 1)/(gamma(a)*gamma(b)*gamma(a + m + 1)*gamma(b + m + 1)) \ + + 1/(gamma(a)*gamma(b)) + + +def test_gosper_sum_indefinite(): + assert gosper_sum(k, k) == k*(k - 1)/2 + assert gosper_sum(k**2, k) == k*(k - 1)*(2*k - 1)/6 + + assert gosper_sum(1/(k*(k + 1)), k) == -1/k + assert gosper_sum(-(27*k**4 + 158*k**3 + 430*k**2 + 678*k + 445)*gamma(2*k + + 4)/(3*(3*k + 7)*gamma(3*k + 6)), k) == \ + (3*k + 5)*(k**2 + 2*k + 5)*gamma(2*k + 4)/gamma(3*k + 6) + + +def test_gosper_sum_parametric(): + assert gosper_sum(binomial(S.Half, m - j + 1)*binomial(S.Half, m + j), (j, 1, n)) == \ + n*(1 + m - n)*(-1 + 2*m + 2*n)*binomial(S.Half, 1 + m - n)* \ + binomial(S.Half, m + n)/(m*(1 + 2*m)) + + +def test_gosper_sum_algebraic(): + assert gosper_sum( + n**2 + sqrt(2), (n, 0, m)) == (m + 1)*(2*m**2 + m + 6*sqrt(2))/6 + + +def test_gosper_sum_iterated(): + f1 = binomial(2*k, k)/4**k + f2 = (1 + 2*n)*binomial(2*n, n)/4**n + f3 = (1 + 2*n)*(3 + 2*n)*binomial(2*n, n)/(3*4**n) + f4 = (1 + 2*n)*(3 + 2*n)*(5 + 2*n)*binomial(2*n, n)/(15*4**n) + f5 = (1 + 2*n)*(3 + 2*n)*(5 + 2*n)*(7 + 2*n)*binomial(2*n, n)/(105*4**n) + + assert gosper_sum(f1, (k, 0, n)) == f2 + assert gosper_sum(f2, (n, 0, n)) == f3 + assert gosper_sum(f3, (n, 0, n)) == f4 + assert gosper_sum(f4, (n, 0, n)) == f5 + +# the AeqB tests test expressions given in +# www.math.upenn.edu/~wilf/AeqB.pdf + + +def test_gosper_sum_AeqB_part1(): + f1a = n**4 + f1b = n**3*2**n + f1c = 1/(n**2 + sqrt(5)*n - 1) + f1d = n**4*4**n/binomial(2*n, n) + f1e = factorial(3*n)/(factorial(n)*factorial(n + 1)*factorial(n + 2)*27**n) + f1f = binomial(2*n, n)**2/((n + 1)*4**(2*n)) + f1g = (4*n - 1)*binomial(2*n, n)**2/((2*n - 1)**2*4**(2*n)) + f1h = n*factorial(n - S.Half)**2/factorial(n + 1)**2 + + g1a = m*(m + 1)*(2*m + 1)*(3*m**2 + 3*m - 1)/30 + g1b = 26 + 2**(m + 1)*(m**3 - 3*m**2 + 9*m - 13) + g1c = (m + 1)*(m*(m**2 - 7*m + 3)*sqrt(5) - ( + 3*m**3 - 7*m**2 + 19*m - 6))/(2*m**3*sqrt(5) + m**4 + 5*m**2 - 1)/6 + g1d = Rational(-2, 231) + 2*4**m*(m + 1)*(63*m**4 + 112*m**3 + 18*m**2 - + 22*m + 3)/(693*binomial(2*m, m)) + g1e = Rational(-9, 2) + (81*m**2 + 261*m + 200)*factorial( + 3*m + 2)/(40*27**m*factorial(m)*factorial(m + 1)*factorial(m + 2)) + g1f = (2*m + 1)**2*binomial(2*m, m)**2/(4**(2*m)*(m + 1)) + g1g = -binomial(2*m, m)**2/4**(2*m) + g1h = 4*pi -(2*m + 1)**2*(3*m + 4)*factorial(m - S.Half)**2/factorial(m + 1)**2 + + g = gosper_sum(f1a, (n, 0, m)) + assert g is not None and simplify(g - g1a) == 0 + g = gosper_sum(f1b, (n, 0, m)) + assert g is not None and simplify(g - g1b) == 0 + g = gosper_sum(f1c, (n, 0, m)) + assert g is not None and simplify(g - g1c) == 0 + g = gosper_sum(f1d, (n, 0, m)) + assert g is not None and simplify(g - g1d) == 0 + g = gosper_sum(f1e, (n, 0, m)) + assert g is not None and simplify(g - g1e) == 0 + g = gosper_sum(f1f, (n, 0, m)) + assert g is not None and simplify(g - g1f) == 0 + g = gosper_sum(f1g, (n, 0, m)) + assert g is not None and simplify(g - g1g) == 0 + g = gosper_sum(f1h, (n, 0, m)) + # need to call rewrite(gamma) here because we have terms involving + # factorial(1/2) + assert g is not None and simplify(g - g1h).rewrite(gamma) == 0 + + +def test_gosper_sum_AeqB_part2(): + f2a = n**2*a**n + f2b = (n - r/2)*binomial(r, n) + f2c = factorial(n - 1)**2/(factorial(n - x)*factorial(n + x)) + + g2a = -a*(a + 1)/(a - 1)**3 + a**( + m + 1)*(a**2*m**2 - 2*a*m**2 + m**2 - 2*a*m + 2*m + a + 1)/(a - 1)**3 + g2b = (m - r)*binomial(r, m)/2 + ff = factorial(1 - x)*factorial(1 + x) + g2c = 1/ff*( + 1 - 1/x**2) + factorial(m)**2/(x**2*factorial(m - x)*factorial(m + x)) + + g = gosper_sum(f2a, (n, 0, m)) + assert g is not None and simplify(g - g2a) == 0 + g = gosper_sum(f2b, (n, 0, m)) + assert g is not None and simplify(g - g2b) == 0 + g = gosper_sum(f2c, (n, 1, m)) + assert g is not None and simplify(g - g2c) == 0 + + +def test_gosper_nan(): + a = Symbol('a', positive=True) + b = Symbol('b', positive=True) + n = Symbol('n', integer=True) + m = Symbol('m', integer=True) + f2d = n*(n + a + b)*a**n*b**n/(factorial(n + a)*factorial(n + b)) + g2d = 1/(factorial(a - 1)*factorial( + b - 1)) - a**(m + 1)*b**(m + 1)/(factorial(a + m)*factorial(b + m)) + g = gosper_sum(f2d, (n, 0, m)) + assert simplify(g - g2d) == 0 + + +def test_gosper_sum_AeqB_part3(): + f3a = 1/n**4 + f3b = (6*n + 3)/(4*n**4 + 8*n**3 + 8*n**2 + 4*n + 3) + f3c = 2**n*(n**2 - 2*n - 1)/(n**2*(n + 1)**2) + f3d = n**2*4**n/((n + 1)*(n + 2)) + f3e = 2**n/(n + 1) + f3f = 4*(n - 1)*(n**2 - 2*n - 1)/(n**2*(n + 1)**2*(n - 2)**2*(n - 3)**2) + f3g = (n**4 - 14*n**2 - 24*n - 9)*2**n/(n**2*(n + 1)**2*(n + 2)**2* + (n + 3)**2) + + # g3a -> no closed form + g3b = m*(m + 2)/(2*m**2 + 4*m + 3) + g3c = 2**m/m**2 - 2 + g3d = Rational(2, 3) + 4**(m + 1)*(m - 1)/(m + 2)/3 + # g3e -> no closed form + g3f = -(Rational(-1, 16) + 1/((m - 2)**2*(m + 1)**2)) # the AeqB key is wrong + g3g = Rational(-2, 9) + 2**(m + 1)/((m + 1)**2*(m + 3)**2) + + g = gosper_sum(f3a, (n, 1, m)) + assert g is None + g = gosper_sum(f3b, (n, 1, m)) + assert g is not None and simplify(g - g3b) == 0 + g = gosper_sum(f3c, (n, 1, m - 1)) + assert g is not None and simplify(g - g3c) == 0 + g = gosper_sum(f3d, (n, 1, m)) + assert g is not None and simplify(g - g3d) == 0 + g = gosper_sum(f3e, (n, 0, m - 1)) + assert g is None + g = gosper_sum(f3f, (n, 4, m)) + assert g is not None and simplify(g - g3f) == 0 + g = gosper_sum(f3g, (n, 1, m)) + assert g is not None and simplify(g - g3g) == 0 diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/concrete/tests/test_guess.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/concrete/tests/test_guess.py new file mode 100644 index 0000000000000000000000000000000000000000..5ac5d02b89ad62a70a29bd450b71b284b6aea76d --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/concrete/tests/test_guess.py @@ -0,0 +1,82 @@ +from sympy.concrete.guess import ( + find_simple_recurrence_vector, + find_simple_recurrence, + rationalize, + guess_generating_function_rational, + guess_generating_function, + guess + ) +from sympy.concrete.products import Product +from sympy.core.function import Function +from sympy.core.numbers import Rational +from sympy.core.singleton import S +from sympy.core.symbol import (Symbol, symbols) +from sympy.core.sympify import sympify +from sympy.functions.combinatorial.factorials import (RisingFactorial, factorial) +from sympy.functions.combinatorial.numbers import fibonacci +from sympy.functions.elementary.exponential import exp + + +def test_find_simple_recurrence_vector(): + assert find_simple_recurrence_vector( + [fibonacci(k) for k in range(12)]) == [1, -1, -1] + + +def test_find_simple_recurrence(): + a = Function('a') + n = Symbol('n') + assert find_simple_recurrence([fibonacci(k) for k in range(12)]) == ( + -a(n) - a(n + 1) + a(n + 2)) + + f = Function('a') + i = Symbol('n') + a = [1, 1, 1] + for k in range(15): a.append(5*a[-1]-3*a[-2]+8*a[-3]) + assert find_simple_recurrence(a, A=f, N=i) == ( + -8*f(i) + 3*f(i + 1) - 5*f(i + 2) + f(i + 3)) + assert find_simple_recurrence([0, 2, 15, 74, 12, 3, 0, + 1, 2, 85, 4, 5, 63]) == 0 + + +def test_rationalize(): + from mpmath import cos, pi, mpf + assert rationalize(cos(pi/3)) == S.Half + assert rationalize(mpf("0.333333333333333")) == Rational(1, 3) + assert rationalize(mpf("-0.333333333333333")) == Rational(-1, 3) + assert rationalize(pi, maxcoeff = 250) == Rational(355, 113) + + +def test_guess_generating_function_rational(): + x = Symbol('x') + assert guess_generating_function_rational([fibonacci(k) + for k in range(5, 15)]) == ((3*x + 5)/(-x**2 - x + 1)) + + +def test_guess_generating_function(): + x = Symbol('x') + assert guess_generating_function([fibonacci(k) + for k in range(5, 15)])['ogf'] == ((3*x + 5)/(-x**2 - x + 1)) + assert guess_generating_function( + [1, 2, 5, 14, 41, 124, 383, 1200, 3799, 12122, 38919])['ogf'] == ( + (1/(x**4 + 2*x**2 - 4*x + 1))**S.Half) + assert guess_generating_function(sympify( + "[3/2, 11/2, 0, -121/2, -363/2, 121, 4719/2, 11495/2, -8712, -178717/2]") + )['ogf'] == (x + Rational(3, 2))/(11*x**2 - 3*x + 1) + assert guess_generating_function([factorial(k) for k in range(12)], + types=['egf'])['egf'] == 1/(-x + 1) + assert guess_generating_function([k+1 for k in range(12)], + types=['egf']) == {'egf': (x + 1)*exp(x), 'lgdegf': (x + 2)/(x + 1)} + + +def test_guess(): + i0, i1 = symbols('i0 i1') + assert guess([1, 2, 6, 24, 120], evaluate=False) == [Product(i1 + 1, (i1, 1, i0 - 1))] + assert guess([1, 2, 6, 24, 120]) == [RisingFactorial(2, i0 - 1)] + assert guess([1, 2, 7, 42, 429, 7436, 218348, 10850216], niter=4) == [ + 2**(i0 - 1)*(Rational(27, 16))**(i0**2/2 - 3*i0/2 + + 1)*Product(RisingFactorial(Rational(5, 3), i1 - 1)*RisingFactorial(Rational(7, 3), i1 + - 1)/(RisingFactorial(Rational(3, 2), i1 - 1)*RisingFactorial(Rational(5, 2), i1 - + 1)), (i1, 1, i0 - 1))] + assert guess([1, 0, 2]) == [] + x, y = symbols('x y') + assert guess([1, 2, 6, 24, 120], variables=[x, y]) == [RisingFactorial(2, x - 1)] diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/concrete/tests/test_products.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/concrete/tests/test_products.py new file mode 100644 index 0000000000000000000000000000000000000000..9be053a7040014c6ed38c1279a609fcb2426258e --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/concrete/tests/test_products.py @@ -0,0 +1,410 @@ +from sympy.concrete.products import (Product, product) +from sympy.concrete.summations import Sum +from sympy.core.function import (Derivative, Function, diff) +from sympy.core.numbers import (Rational, oo, pi) +from sympy.core.singleton import S +from sympy.core.symbol import (Dummy, Symbol, symbols) +from sympy.functions.combinatorial.factorials import (rf, factorial) +from sympy.functions.elementary.exponential import (exp, log) +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.trigonometric import (cos, sin) +from sympy.functions.special.tensor_functions import KroneckerDelta +from sympy.simplify.combsimp import combsimp +from sympy.simplify.simplify import simplify +from sympy.testing.pytest import raises + +a, k, n, m, x = symbols('a,k,n,m,x', integer=True) +f = Function('f') + + +def test_karr_convention(): + # Test the Karr product convention that we want to hold. + # See his paper "Summation in Finite Terms" for a detailed + # reasoning why we really want exactly this definition. + # The convention is described for sums on page 309 and + # essentially in section 1.4, definition 3. For products + # we can find in analogy: + # + # \prod_{m <= i < n} f(i) 'has the obvious meaning' for m < n + # \prod_{m <= i < n} f(i) = 0 for m = n + # \prod_{m <= i < n} f(i) = 1 / \prod_{n <= i < m} f(i) for m > n + # + # It is important to note that he defines all products with + # the upper limit being *exclusive*. + # In contrast, SymPy and the usual mathematical notation has: + # + # prod_{i = a}^b f(i) = f(a) * f(a+1) * ... * f(b-1) * f(b) + # + # with the upper limit *inclusive*. So translating between + # the two we find that: + # + # \prod_{m <= i < n} f(i) = \prod_{i = m}^{n-1} f(i) + # + # where we intentionally used two different ways to typeset the + # products and its limits. + + i = Symbol("i", integer=True) + k = Symbol("k", integer=True) + j = Symbol("j", integer=True, positive=True) + + # A simple example with a concrete factors and symbolic limits. + + # The normal product: m = k and n = k + j and therefore m < n: + m = k + n = k + j + + a = m + b = n - 1 + S1 = Product(i**2, (i, a, b)).doit() + + # The reversed product: m = k + j and n = k and therefore m > n: + m = k + j + n = k + + a = m + b = n - 1 + S2 = Product(i**2, (i, a, b)).doit() + + assert S1 * S2 == 1 + + # Test the empty product: m = k and n = k and therefore m = n: + m = k + n = k + + a = m + b = n - 1 + Sz = Product(i**2, (i, a, b)).doit() + + assert Sz == 1 + + # Another example this time with an unspecified factor and + # numeric limits. (We can not do both tests in the same example.) + f = Function("f") + + # The normal product with m < n: + m = 2 + n = 11 + + a = m + b = n - 1 + S1 = Product(f(i), (i, a, b)).doit() + + # The reversed product with m > n: + m = 11 + n = 2 + + a = m + b = n - 1 + S2 = Product(f(i), (i, a, b)).doit() + + assert simplify(S1 * S2) == 1 + + # Test the empty product with m = n: + m = 5 + n = 5 + + a = m + b = n - 1 + Sz = Product(f(i), (i, a, b)).doit() + + assert Sz == 1 + + +def test_karr_proposition_2a(): + # Test Karr, page 309, proposition 2, part a + i, u, v = symbols('i u v', integer=True) + + def test_the_product(m, n): + # g + g = i**3 + 2*i**2 - 3*i + # f = Delta g + f = simplify(g.subs(i, i+1) / g) + # The product + a = m + b = n - 1 + P = Product(f, (i, a, b)).doit() + # Test if Product_{m <= i < n} f(i) = g(n) / g(m) + assert combsimp(P / (g.subs(i, n) / g.subs(i, m))) == 1 + + # m < n + test_the_product(u, u + v) + # m = n + test_the_product(u, u) + # m > n + test_the_product(u + v, u) + + +def test_karr_proposition_2b(): + # Test Karr, page 309, proposition 2, part b + i, u, v, w = symbols('i u v w', integer=True) + + def test_the_product(l, n, m): + # Productmand + s = i**3 + # First product + a = l + b = n - 1 + S1 = Product(s, (i, a, b)).doit() + # Second product + a = l + b = m - 1 + S2 = Product(s, (i, a, b)).doit() + # Third product + a = m + b = n - 1 + S3 = Product(s, (i, a, b)).doit() + # Test if S1 = S2 * S3 as required + assert combsimp(S1 / (S2 * S3)) == 1 + + # l < m < n + test_the_product(u, u + v, u + v + w) + # l < m = n + test_the_product(u, u + v, u + v) + # l < m > n + test_the_product(u, u + v + w, v) + # l = m < n + test_the_product(u, u, u + v) + # l = m = n + test_the_product(u, u, u) + # l = m > n + test_the_product(u + v, u + v, u) + # l > m < n + test_the_product(u + v, u, u + w) + # l > m = n + test_the_product(u + v, u, u) + # l > m > n + test_the_product(u + v + w, u + v, u) + + +def test_simple_products(): + assert product(2, (k, a, n)) == 2**(n - a + 1) + assert product(k, (k, 1, n)) == factorial(n) + assert product(k**3, (k, 1, n)) == factorial(n)**3 + + assert product(k + 1, (k, 0, n - 1)) == factorial(n) + assert product(k + 1, (k, a, n - 1)) == rf(1 + a, n - a) + + assert product(cos(k), (k, 0, 5)) == cos(1)*cos(2)*cos(3)*cos(4)*cos(5) + assert product(cos(k), (k, 3, 5)) == cos(3)*cos(4)*cos(5) + assert product(cos(k), (k, 1, Rational(5, 2))) != cos(1)*cos(2) + + assert isinstance(product(k**k, (k, 1, n)), Product) + + assert Product(x**k, (k, 1, n)).variables == [k] + + raises(ValueError, lambda: Product(n)) + raises(ValueError, lambda: Product(n, k)) + raises(ValueError, lambda: Product(n, k, 1)) + raises(ValueError, lambda: Product(n, k, 1, 10)) + raises(ValueError, lambda: Product(n, (k, 1))) + + assert product(1, (n, 1, oo)) == 1 # issue 8301 + assert product(2, (n, 1, oo)) is oo + assert product(-1, (n, 1, oo)).func is Product + + +def test_multiple_products(): + assert product(x, (n, 1, k), (k, 1, m)) == x**(m**2/2 + m/2) + assert product(f(n), ( + n, 1, m), (m, 1, k)) == Product(f(n), (n, 1, m), (m, 1, k)).doit() + assert Product(f(n), (m, 1, k), (n, 1, k)).doit() == \ + Product(Product(f(n), (m, 1, k)), (n, 1, k)).doit() == \ + product(f(n), (m, 1, k), (n, 1, k)) == \ + product(product(f(n), (m, 1, k)), (n, 1, k)) == \ + Product(f(n)**k, (n, 1, k)) + assert Product( + x, (x, 1, k), (k, 1, n)).doit() == Product(factorial(k), (k, 1, n)) + + assert Product(x**k, (n, 1, k), (k, 1, m)).variables == [n, k] + + +def test_rational_products(): + assert product(1 + 1/k, (k, 1, n)) == rf(2, n)/factorial(n) + + +def test_special_products(): + # Wallis product + assert product((4*k)**2 / (4*k**2 - 1), (k, 1, n)) == \ + 4**n*factorial(n)**2/rf(S.Half, n)/rf(Rational(3, 2), n) + + # Euler's product formula for sin + assert product(1 + a/k**2, (k, 1, n)) == \ + rf(1 - sqrt(-a), n)*rf(1 + sqrt(-a), n)/factorial(n)**2 + + +def test__eval_product(): + from sympy.abc import i, n + # issue 4809 + a = Function('a') + assert product(2*a(i), (i, 1, n)) == 2**n * Product(a(i), (i, 1, n)) + # issue 4810 + assert product(2**i, (i, 1, n)) == 2**(n*(n + 1)/2) + k, m = symbols('k m', integer=True) + assert product(2**i, (i, k, m)) == 2**(-k**2/2 + k/2 + m**2/2 + m/2) + n = Symbol('n', negative=True, integer=True) + p = Symbol('p', positive=True, integer=True) + assert product(2**i, (i, n, p)) == 2**(-n**2/2 + n/2 + p**2/2 + p/2) + assert product(2**i, (i, p, n)) == 2**(n**2/2 + n/2 - p**2/2 + p/2) + + +def test_product_pow(): + # issue 4817 + assert product(2**f(k), (k, 1, n)) == 2**Sum(f(k), (k, 1, n)) + assert product(2**(2*f(k)), (k, 1, n)) == 2**Sum(2*f(k), (k, 1, n)) + + +def test_infinite_product(): + # issue 5737 + assert isinstance(Product(2**(1/factorial(n)), (n, 0, oo)), Product) + + +def test_conjugate_transpose(): + p = Product(x**k, (k, 1, 3)) + assert p.adjoint().doit() == p.doit().adjoint() + assert p.conjugate().doit() == p.doit().conjugate() + assert p.transpose().doit() == p.doit().transpose() + + A, B = symbols("A B", commutative=False) + p = Product(A*B**k, (k, 1, 3)) + assert p.adjoint().doit() == p.doit().adjoint() + assert p.conjugate().doit() == p.doit().conjugate() + assert p.transpose().doit() == p.doit().transpose() + + p = Product(B**k*A, (k, 1, 3)) + assert p.adjoint().doit() == p.doit().adjoint() + assert p.conjugate().doit() == p.doit().conjugate() + assert p.transpose().doit() == p.doit().transpose() + + +def test_simplify_prod(): + y, t, b, c, v, d = symbols('y, t, b, c, v, d', integer = True) + + _simplify = lambda e: simplify(e, doit=False) + assert _simplify(Product(x*y, (x, n, m), (y, a, k)) * \ + Product(y, (x, n, m), (y, a, k))) == \ + Product(x*y**2, (x, n, m), (y, a, k)) + assert _simplify(3 * y* Product(x, (x, n, m)) * Product(x, (x, m + 1, a))) \ + == 3 * y * Product(x, (x, n, a)) + assert _simplify(Product(x, (x, k + 1, a)) * Product(x, (x, n, k))) == \ + Product(x, (x, n, a)) + assert _simplify(Product(x, (x, k + 1, a)) * Product(x + 1, (x, n, k))) == \ + Product(x, (x, k + 1, a)) * Product(x + 1, (x, n, k)) + assert _simplify(Product(x, (t, a, b)) * Product(y, (t, a, b)) * \ + Product(x, (t, b+1, c))) == Product(x*y, (t, a, b)) * \ + Product(x, (t, b+1, c)) + assert _simplify(Product(x, (t, a, b)) * Product(x, (t, b+1, c)) * \ + Product(y, (t, a, b))) == Product(x*y, (t, a, b)) * \ + Product(x, (t, b+1, c)) + assert _simplify(Product(sin(t)**2 + cos(t)**2 + 1, (t, a, b))) == \ + Product(2, (t, a, b)) + assert _simplify(Product(sin(t)**2 + cos(t)**2 - 1, (t, a, b))) == \ + Product(0, (t, a, b)) + assert _simplify(Product(v*Product(sin(t)**2 + cos(t)**2, (t, a, b)), + (v, c, d))) == Product(v*Product(1, (t, a, b)), (v, c, d)) + + +def test_change_index(): + b, y, c, d, z = symbols('b, y, c, d, z', integer = True) + + assert Product(x, (x, a, b)).change_index(x, x + 1, y) == \ + Product(y - 1, (y, a + 1, b + 1)) + assert Product(x**2, (x, a, b)).change_index(x, x - 1) == \ + Product((x + 1)**2, (x, a - 1, b - 1)) + assert Product(x**2, (x, a, b)).change_index(x, -x, y) == \ + Product((-y)**2, (y, -b, -a)) + assert Product(x, (x, a, b)).change_index(x, -x - 1) == \ + Product(-x - 1, (x, - b - 1, -a - 1)) + assert Product(x*y, (x, a, b), (y, c, d)).change_index(x, x - 1, z) == \ + Product((z + 1)*y, (z, a - 1, b - 1), (y, c, d)) + + +def test_reorder(): + b, y, c, d, z = symbols('b, y, c, d, z', integer = True) + + assert Product(x*y, (x, a, b), (y, c, d)).reorder((0, 1)) == \ + Product(x*y, (y, c, d), (x, a, b)) + assert Product(x, (x, a, b), (x, c, d)).reorder((0, 1)) == \ + Product(x, (x, c, d), (x, a, b)) + assert Product(x*y + z, (x, a, b), (z, m, n), (y, c, d)).reorder(\ + (2, 0), (0, 1)) == Product(x*y + z, (z, m, n), (y, c, d), (x, a, b)) + assert Product(x*y*z, (x, a, b), (y, c, d), (z, m, n)).reorder(\ + (0, 1), (1, 2), (0, 2)) == \ + Product(x*y*z, (x, a, b), (z, m, n), (y, c, d)) + assert Product(x*y*z, (x, a, b), (y, c, d), (z, m, n)).reorder(\ + (x, y), (y, z), (x, z)) == \ + Product(x*y*z, (x, a, b), (z, m, n), (y, c, d)) + assert Product(x*y, (x, a, b), (y, c, d)).reorder((x, 1)) == \ + Product(x*y, (y, c, d), (x, a, b)) + assert Product(x*y, (x, a, b), (y, c, d)).reorder((y, x)) == \ + Product(x*y, (y, c, d), (x, a, b)) + + +def test_Product_is_convergent(): + assert Product(1/n**2, (n, 1, oo)).is_convergent() is S.false + assert Product(exp(1/n**2), (n, 1, oo)).is_convergent() is S.true + assert Product(1/n, (n, 1, oo)).is_convergent() is S.false + assert Product(1 + 1/n, (n, 1, oo)).is_convergent() is S.false + assert Product(1 + 1/n**2, (n, 1, oo)).is_convergent() is S.true + + +def test_reverse_order(): + x, y, a, b, c, d= symbols('x, y, a, b, c, d', integer = True) + + assert Product(x, (x, 0, 3)).reverse_order(0) == Product(1/x, (x, 4, -1)) + assert Product(x*y, (x, 1, 5), (y, 0, 6)).reverse_order(0, 1) == \ + Product(x*y, (x, 6, 0), (y, 7, -1)) + assert Product(x, (x, 1, 2)).reverse_order(0) == Product(1/x, (x, 3, 0)) + assert Product(x, (x, 1, 3)).reverse_order(0) == Product(1/x, (x, 4, 0)) + assert Product(x, (x, 1, a)).reverse_order(0) == Product(1/x, (x, a + 1, 0)) + assert Product(x, (x, a, 5)).reverse_order(0) == Product(1/x, (x, 6, a - 1)) + assert Product(x, (x, a + 1, a + 5)).reverse_order(0) == \ + Product(1/x, (x, a + 6, a)) + assert Product(x, (x, a + 1, a + 2)).reverse_order(0) == \ + Product(1/x, (x, a + 3, a)) + assert Product(x, (x, a + 1, a + 1)).reverse_order(0) == \ + Product(1/x, (x, a + 2, a)) + assert Product(x, (x, a, b)).reverse_order(0) == Product(1/x, (x, b + 1, a - 1)) + assert Product(x, (x, a, b)).reverse_order(x) == Product(1/x, (x, b + 1, a - 1)) + assert Product(x*y, (x, a, b), (y, 2, 5)).reverse_order(x, 1) == \ + Product(x*y, (x, b + 1, a - 1), (y, 6, 1)) + assert Product(x*y, (x, a, b), (y, 2, 5)).reverse_order(y, x) == \ + Product(x*y, (x, b + 1, a - 1), (y, 6, 1)) + + +def test_issue_9983(): + n = Symbol('n', integer=True, positive=True) + p = Product(1 + 1/n**Rational(2, 3), (n, 1, oo)) + assert p.is_convergent() is S.false + assert product(1 + 1/n**Rational(2, 3), (n, 1, oo)) == p.doit() + + +def test_issue_13546(): + n = Symbol('n') + k = Symbol('k') + p = Product(n + 1 / 2**k, (k, 0, n-1)).doit() + assert p.subs(n, 2).doit() == Rational(15, 2) + + +def test_issue_14036(): + a, n = symbols('a n') + assert product(1 - a**2 / (n*pi)**2, [n, 1, oo]) != 0 + + +def test_rewrite_Sum(): + assert Product(1 - S.Half**2/k**2, (k, 1, oo)).rewrite(Sum) == \ + exp(Sum(log(1 - 1/(4*k**2)), (k, 1, oo))) + + +def test_KroneckerDelta_Product(): + y = Symbol('y') + assert Product(x*KroneckerDelta(x, y), (x, 0, 1)).doit() == 0 + + +def test_issue_20848(): + _i = Dummy('i') + t, y, z = symbols('t y z') + assert diff(Product(x, (y, 1, z)), x).as_dummy() == Sum(Product(x, (y, 1, _i - 1))*Product(x, (y, _i + 1, z)), (_i, 1, z)).as_dummy() + assert diff(Product(x, (y, 1, z)), x).doit() == x**(z - 1)*z + assert diff(Product(x, (y, x, z)), x) == Derivative(Product(x, (y, x, z)), x) + assert diff(Product(t, (x, 1, z)), x) == S(0) + assert Product(sin(n*x), (n, -1, 1)).diff(x).doit() == S(0) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/concrete/tests/test_sums_products.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/concrete/tests/test_sums_products.py new file mode 100644 index 0000000000000000000000000000000000000000..b190afe0bd403819d3525453879d7d5d39e20a56 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/concrete/tests/test_sums_products.py @@ -0,0 +1,1676 @@ +from math import prod + +from sympy.concrete.expr_with_intlimits import ReorderError +from sympy.concrete.products import (Product, product) +from sympy.concrete.summations import (Sum, summation, telescopic, + eval_sum_residue, _dummy_with_inherited_properties_concrete) +from sympy.core.function import (Derivative, Function) +from sympy.core import (Catalan, EulerGamma) +from sympy.core.facts import InconsistentAssumptions +from sympy.core.mod import Mod +from sympy.core.numbers import (E, I, Rational, nan, oo, pi) +from sympy.core.relational import Eq, Ne +from sympy.core.numbers import Float +from sympy.core.singleton import S +from sympy.core.symbol import (Dummy, Symbol, symbols) +from sympy.core.sympify import sympify +from sympy.functions.combinatorial.factorials import (rf, binomial, factorial) +from sympy.functions.combinatorial.numbers import harmonic +from sympy.functions.elementary.complexes import Abs, re +from sympy.functions.elementary.exponential import (exp, log) +from sympy.functions.elementary.hyperbolic import (sinh, tanh) +from sympy.functions.elementary.integers import floor +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.piecewise import Piecewise +from sympy.functions.elementary.trigonometric import (cos, sin, atan) +from sympy.functions.special.gamma_functions import (gamma, lowergamma) +from sympy.functions.special.tensor_functions import KroneckerDelta +from sympy.functions.special.zeta_functions import zeta +from sympy.integrals.integrals import Integral +from sympy.logic.boolalg import And, Or +from sympy.matrices.expressions.matexpr import MatrixSymbol +from sympy.matrices.expressions.special import Identity +from sympy.matrices import (Matrix, SparseMatrix, + ImmutableDenseMatrix, ImmutableSparseMatrix, diag) +from sympy.sets.contains import Contains +from sympy.sets.fancysets import Range +from sympy.sets.sets import Interval +from sympy.simplify.combsimp import combsimp +from sympy.simplify.simplify import simplify +from sympy.tensor.indexed import (Idx, Indexed, IndexedBase) +from sympy.testing.pytest import XFAIL, raises, slow +from sympy.abc import a, b, c, d, k, m, x, y, z + +n = Symbol('n', integer=True) +f, g = symbols('f g', cls=Function) + +def test_karr_convention(): + # Test the Karr summation convention that we want to hold. + # See his paper "Summation in Finite Terms" for a detailed + # reasoning why we really want exactly this definition. + # The convention is described on page 309 and essentially + # in section 1.4, definition 3: + # + # \sum_{m <= i < n} f(i) 'has the obvious meaning' for m < n + # \sum_{m <= i < n} f(i) = 0 for m = n + # \sum_{m <= i < n} f(i) = - \sum_{n <= i < m} f(i) for m > n + # + # It is important to note that he defines all sums with + # the upper limit being *exclusive*. + # In contrast, SymPy and the usual mathematical notation has: + # + # sum_{i = a}^b f(i) = f(a) + f(a+1) + ... + f(b-1) + f(b) + # + # with the upper limit *inclusive*. So translating between + # the two we find that: + # + # \sum_{m <= i < n} f(i) = \sum_{i = m}^{n-1} f(i) + # + # where we intentionally used two different ways to typeset the + # sum and its limits. + + i = Symbol("i", integer=True) + k = Symbol("k", integer=True) + j = Symbol("j", integer=True) + + # A simple example with a concrete summand and symbolic limits. + + # The normal sum: m = k and n = k + j and therefore m < n: + m = k + n = k + j + + a = m + b = n - 1 + S1 = Sum(i**2, (i, a, b)).doit() + + # The reversed sum: m = k + j and n = k and therefore m > n: + m = k + j + n = k + + a = m + b = n - 1 + S2 = Sum(i**2, (i, a, b)).doit() + + assert simplify(S1 + S2) == 0 + + # Test the empty sum: m = k and n = k and therefore m = n: + m = k + n = k + + a = m + b = n - 1 + Sz = Sum(i**2, (i, a, b)).doit() + + assert Sz == 0 + + # Another example this time with an unspecified summand and + # numeric limits. (We can not do both tests in the same example.) + + # The normal sum with m < n: + m = 2 + n = 11 + + a = m + b = n - 1 + S1 = Sum(f(i), (i, a, b)).doit() + + # The reversed sum with m > n: + m = 11 + n = 2 + + a = m + b = n - 1 + S2 = Sum(f(i), (i, a, b)).doit() + + assert simplify(S1 + S2) == 0 + + # Test the empty sum with m = n: + m = 5 + n = 5 + + a = m + b = n - 1 + Sz = Sum(f(i), (i, a, b)).doit() + + assert Sz == 0 + + e = Piecewise((exp(-i), Mod(i, 2) > 0), (0, True)) + s = Sum(e, (i, 0, 11)) + assert s.n(3) == s.doit().n(3) + + # issue #27893 + n = Symbol('n', integer=True) + assert Sum(1/(x**2 + 1), (x, oo, 0)).doit(deep=False) == Rational(-1, 2) + pi / (2 * tanh(pi)) + assert Sum(c**x/factorial(x), (x, oo, 0)).doit(deep=False).simplify() == exp(c) - 1 # exponential series + assert Sum((-1)**x/x, (x, oo,0)).doit() == -log(2) # alternating harmnic series + assert Sum((1/2)**x,(x, oo, -1)).doit() == S(2) # geometric series + assert Sum(1/x, (x, oo, 0)).doit() == oo # harmonic series, divergent + assert Sum((-1)**x/(2*x+1), (x, oo, -1)).doit() == pi/4 # leibniz series + assert Sum((((-1)**x) * c**(2*x+1)) / factorial(2*x+1), (x, oo, -1)).doit() == sin(c) # sinusoidal series + assert Sum((((-1)**x) * c**(2*x+1)) / (2*x+1), (x, 0, oo)).doit() \ + == Piecewise((atan(c), Ne(c**2, -1) & (Abs(c**2) <= 1)), \ + (Sum((-1)**x*c**(2*x + 1)/(2*x + 1), (x, 0, oo)), True)) # arctangent series + assert Sum(binomial(n, x) * c**x, (x, 0, oo)).doit() \ + == Piecewise(((c + 1)**n, \ + ((n <= -1) & (Abs(c) < 1)) \ + | ((n > 0) & (Abs(c) <= 1)) \ + | ((n <= 0) & (n > -1) & Ne(c, -1) & (Abs(c) <= 1))), \ + (Sum(c**x*binomial(n, x), (x, 0, oo)), True)) # binomial series + assert Sum(1/x**n, (x, oo, 0)).doit() \ + == Piecewise((zeta(n), n > 1), (Sum(x**(-n), (x, oo, 0)), True)) # Euler's zeta function + +def test_karr_proposition_2a(): + # Test Karr, page 309, proposition 2, part a + i = Symbol("i", integer=True) + u = Symbol("u", integer=True) + v = Symbol("v", integer=True) + + def test_the_sum(m, n): + # g + g = i**3 + 2*i**2 - 3*i + # f = Delta g + f = simplify(g.subs(i, i+1) - g) + # The sum + a = m + b = n - 1 + S = Sum(f, (i, a, b)).doit() + # Test if Sum_{m <= i < n} f(i) = g(n) - g(m) + assert simplify(S - (g.subs(i, n) - g.subs(i, m))) == 0 + + # m < n + test_the_sum(u, u+v) + # m = n + test_the_sum(u, u ) + # m > n + test_the_sum(u+v, u ) + + +def test_karr_proposition_2b(): + # Test Karr, page 309, proposition 2, part b + i = Symbol("i", integer=True) + u = Symbol("u", integer=True) + v = Symbol("v", integer=True) + w = Symbol("w", integer=True) + + def test_the_sum(l, n, m): + # Summand + s = i**3 + # First sum + a = l + b = n - 1 + S1 = Sum(s, (i, a, b)).doit() + # Second sum + a = l + b = m - 1 + S2 = Sum(s, (i, a, b)).doit() + # Third sum + a = m + b = n - 1 + S3 = Sum(s, (i, a, b)).doit() + # Test if S1 = S2 + S3 as required + assert S1 - (S2 + S3) == 0 + + # l < m < n + test_the_sum(u, u+v, u+v+w) + # l < m = n + test_the_sum(u, u+v, u+v ) + # l < m > n + test_the_sum(u, u+v+w, v ) + # l = m < n + test_the_sum(u, u, u+v ) + # l = m = n + test_the_sum(u, u, u ) + # l = m > n + test_the_sum(u+v, u+v, u ) + # l > m < n + test_the_sum(u+v, u, u+w ) + # l > m = n + test_the_sum(u+v, u, u ) + # l > m > n + test_the_sum(u+v+w, u+v, u ) + + +def test_arithmetic_sums(): + assert summation(1, (n, a, b)) == b - a + 1 + assert Sum(S.NaN, (n, a, b)) is S.NaN + assert Sum(x, (n, a, a)).doit() == x + assert Sum(x, (x, a, a)).doit() == a + assert Sum(x, (n, 1, a)).doit() == a*x + assert Sum(x, (x, Range(1, 11))).doit() == 55 + assert Sum(x, (x, Range(1, 11, 2))).doit() == 25 + assert Sum(x, (x, Range(1, 10, 2))) == Sum(x, (x, Range(9, 0, -2))) + lo, hi = 1, 2 + s1 = Sum(n, (n, lo, hi)) + s2 = Sum(n, (n, hi, lo)) + assert s1 != s2 + assert s1.doit() == 3 and s2.doit() == 0 + lo, hi = x, x + 1 + s1 = Sum(n, (n, lo, hi)) + s2 = Sum(n, (n, hi, lo)) + assert s1 != s2 + assert s1.doit() == 2*x + 1 and s2.doit() == 0 + assert Sum(Integral(x, (x, 1, y)) + x, (x, 1, 2)).doit() == \ + y**2 + 2 + assert summation(1, (n, 1, 10)) == 10 + assert summation(2*n, (n, 0, 10**10)) == 100000000010000000000 + assert summation(4*n*m, (n, a, 1), (m, 1, d)).expand() == \ + 2*d + 2*d**2 + a*d + a*d**2 - d*a**2 - a**2*d**2 + assert summation(cos(n), (n, -2, 1)) == cos(-2) + cos(-1) + cos(0) + cos(1) + assert summation(cos(n), (n, x, x + 2)) == cos(x) + cos(x + 1) + cos(x + 2) + assert isinstance(summation(cos(n), (n, x, x + S.Half)), Sum) + assert summation(k, (k, 0, oo)) is oo + assert summation(k, (k, Range(1, 11))) == 55 + + +def test_polynomial_sums(): + assert summation(n**2, (n, 3, 8)) == 199 + assert summation(n, (n, a, b)) == \ + ((a + b)*(b - a + 1)/2).expand() + assert summation(n**2, (n, 1, b)) == \ + ((2*b**3 + 3*b**2 + b)/6).expand() + assert summation(n**3, (n, 1, b)) == \ + ((b**4 + 2*b**3 + b**2)/4).expand() + assert summation(n**6, (n, 1, b)) == \ + ((6*b**7 + 21*b**6 + 21*b**5 - 7*b**3 + b)/42).expand() + + +def test_geometric_sums(): + assert summation(pi**n, (n, 0, b)) == (1 - pi**(b + 1)) / (1 - pi) + assert summation(2 * 3**n, (n, 0, b)) == 3**(b + 1) - 1 + assert summation(S.Half**n, (n, 1, oo)) == 1 + assert summation(2**n, (n, 0, b)) == 2**(b + 1) - 1 + assert summation(2**n, (n, 1, oo)) is oo + assert summation(2**(-n), (n, 1, oo)) == 1 + assert summation(3**(-n), (n, 4, oo)) == Rational(1, 54) + assert summation(2**(-4*n + 3), (n, 1, oo)) == Rational(8, 15) + assert summation(2**(n + 1), (n, 1, b)).expand() == 4*(2**b - 1) + + # issue 6664: + assert summation(x**n, (n, 0, oo)) == \ + Piecewise((1/(-x + 1), Abs(x) < 1), (Sum(x**n, (n, 0, oo)), True)) + + assert summation(-2**n, (n, 0, oo)) is -oo + assert summation(I**n, (n, 0, oo)) == Sum(I**n, (n, 0, oo)) + + # issue 6802: + assert summation((-1)**(2*x + 2), (x, 0, n)) == n + 1 + assert summation((-2)**(2*x + 2), (x, 0, n)) == 4*4**(n + 1)/S(3) - Rational(4, 3) + assert summation((-1)**x, (x, 0, n)) == -(-1)**(n + 1)/S(2) + S.Half + assert summation(y**x, (x, a, b)) == \ + Piecewise((-a + b + 1, Eq(y, 1)), ((y**a - y**(b + 1))/(-y + 1), True)) + assert summation((-2)**(y*x + 2), (x, 0, n)) == \ + 4*Piecewise((n + 1, Eq((-2)**y, 1)), + ((-(-2)**(y*(n + 1)) + 1)/(-(-2)**y + 1), True)) + + # issue 8251: + assert summation((1/(n + 1)**2)*n**2, (n, 0, oo)) is oo + + #issue 9908: + assert Sum(1/(n**3 - 1), (n, -oo, -2)).doit() == summation(1/(n**3 - 1), (n, -oo, -2)) + + #issue 11642: + result = Sum(0.5**n, (n, 1, oo)).doit() + assert result == 1.0 + assert result.is_Float + + result = Sum(0.25**n, (n, 1, oo)).doit() + assert result == 1/3. + assert result.is_Float + + result = Sum(0.99999**n, (n, 1, oo)).doit() + assert result == 99999.0 + assert result.is_Float + + result = Sum(S.Half**n, (n, 1, oo)).doit() + assert result == 1 + assert not result.is_Float + + result = Sum(Rational(3, 5)**n, (n, 1, oo)).doit() + assert result == Rational(3, 2) + assert not result.is_Float + + assert Sum(1.0**n, (n, 1, oo)).doit() is oo + assert Sum(2.43**n, (n, 1, oo)).doit() is oo + + # Issue 13979 + i, k, q = symbols('i k q', integer=True) + result = summation( + exp(-2*I*pi*k*i/n) * exp(2*I*pi*q*i/n) / n, (i, 0, n - 1) + ) + assert result.simplify() == Piecewise( + (1, Eq(exp(-2*I*pi*(k - q)/n), 1)), (0, True) + ) + + #Issue 23491 + assert Sum(1/(n**2 + 1), (n, 1, oo)).doit() == S(-1)/2 + pi/(2*tanh(pi)) + +def test_harmonic_sums(): + assert summation(1/k, (k, 0, n)) == Sum(1/k, (k, 0, n)) + assert summation(1/k, (k, 1, n)) == harmonic(n) + assert summation(n/k, (k, 1, n)) == n*harmonic(n) + assert summation(1/k, (k, 5, n)) == harmonic(n) - harmonic(4) + + +def test_composite_sums(): + f = S.Half*(7 - 6*n + Rational(1, 7)*n**3) + s = summation(f, (n, a, b)) + assert not isinstance(s, Sum) + A = 0 + for i in range(-3, 5): + A += f.subs(n, i) + B = s.subs(a, -3).subs(b, 4) + assert A == B + + +def test_hypergeometric_sums(): + assert summation( + binomial(2*k, k)/4**k, (k, 0, n)) == (1 + 2*n)*binomial(2*n, n)/4**n + assert summation(binomial(2*k, k)/5**k, (k, -oo, oo)) == sqrt(5) + + +def test_other_sums(): + f = m**2 + m*exp(m) + g = 3*exp(Rational(3, 2))/2 + exp(S.Half)/2 - exp(Rational(-1, 2))/2 - 3*exp(Rational(-3, 2))/2 + 5 + + assert summation(f, (m, Rational(-3, 2), Rational(3, 2))) == g + assert summation(f, (m, -1.5, 1.5)).evalf().epsilon_eq(g.evalf(), 1e-10) + +fac = factorial + + +def NS(e, n=15, **options): + return str(sympify(e).evalf(n, **options)) + + +def test_evalf_fast_series(): + # Euler transformed series for sqrt(1+x) + assert NS(Sum( + fac(2*n + 1)/fac(n)**2/2**(3*n + 1), (n, 0, oo)), 100) == NS(sqrt(2), 100) + + # Some series for exp(1) + estr = NS(E, 100) + assert NS(Sum(1/fac(n), (n, 0, oo)), 100) == estr + assert NS(1/Sum((1 - 2*n)/fac(2*n), (n, 0, oo)), 100) == estr + assert NS(Sum((2*n + 1)/fac(2*n), (n, 0, oo)), 100) == estr + assert NS(Sum((4*n + 3)/2**(2*n + 1)/fac(2*n + 1), (n, 0, oo))**2, 100) == estr + + pistr = NS(pi, 100) + # Ramanujan series for pi + assert NS(9801/sqrt(8)/Sum(fac( + 4*n)*(1103 + 26390*n)/fac(n)**4/396**(4*n), (n, 0, oo)), 100) == pistr + assert NS(1/Sum( + binomial(2*n, n)**3 * (42*n + 5)/2**(12*n + 4), (n, 0, oo)), 100) == pistr + # Machin's formula for pi + assert NS(16*Sum((-1)**n/(2*n + 1)/5**(2*n + 1), (n, 0, oo)) - + 4*Sum((-1)**n/(2*n + 1)/239**(2*n + 1), (n, 0, oo)), 100) == pistr + + # Apery's constant + astr = NS(zeta(3), 100) + P = 126392*n**5 + 412708*n**4 + 531578*n**3 + 336367*n**2 + 104000* \ + n + 12463 + assert NS(Sum((-1)**n * P / 24 * (fac(2*n + 1)*fac(2*n)*fac( + n))**3 / fac(3*n + 2) / fac(4*n + 3)**3, (n, 0, oo)), 100) == astr + assert NS(Sum((-1)**n * (205*n**2 + 250*n + 77)/64 * fac(n)**10 / + fac(2*n + 1)**5, (n, 0, oo)), 100) == astr + + +def test_evalf_fast_series_issue_4021(): + # Catalan's constant + assert NS(Sum((-1)**(n - 1)*2**(8*n)*(40*n**2 - 24*n + 3)*fac(2*n)**3* + fac(n)**2/n**3/(2*n - 1)/fac(4*n)**2, (n, 1, oo))/64, 100) == \ + NS(Catalan, 100) + astr = NS(zeta(3), 100) + assert NS(5*Sum( + (-1)**(n - 1)*fac(n)**2 / n**3 / fac(2*n), (n, 1, oo))/2, 100) == astr + assert NS(Sum((-1)**(n - 1)*(56*n**2 - 32*n + 5) / (2*n - 1)**2 * fac(n - 1) + **3 / fac(3*n), (n, 1, oo))/4, 100) == astr + + +def test_evalf_slow_series(): + assert NS(Sum((-1)**n / n, (n, 1, oo)), 15) == NS(-log(2), 15) + assert NS(Sum((-1)**n / n, (n, 1, oo)), 50) == NS(-log(2), 50) + assert NS(Sum(1/n**2, (n, 1, oo)), 15) == NS(pi**2/6, 15) + assert NS(Sum(1/n**2, (n, 1, oo)), 100) == NS(pi**2/6, 100) + assert NS(Sum(1/n**2, (n, 1, oo)), 500) == NS(pi**2/6, 500) + assert NS(Sum((-1)**n / (2*n + 1)**3, (n, 0, oo)), 15) == NS(pi**3/32, 15) + assert NS(Sum((-1)**n / (2*n + 1)**3, (n, 0, oo)), 50) == NS(pi**3/32, 50) + + +def test_evalf_oo_to_oo(): + # There used to be an error in certain cases + # Does not evaluate, but at least do not throw an error + # Evaluates symbolically to 0, which is not correct + assert Sum(1/(n**2+1), (n, -oo, oo)).evalf() == Sum(1/(n**2+1), (n, -oo, oo)) + # This evaluates if from 1 to oo and symbolically + assert Sum(1/(factorial(abs(n))), (n, -oo, -1)).evalf() == Sum(1/(factorial(abs(n))), (n, -oo, -1)) + + +def test_euler_maclaurin(): + # Exact polynomial sums with E-M + def check_exact(f, a, b, m, n): + A = Sum(f, (k, a, b)) + s, e = A.euler_maclaurin(m, n) + assert (e == 0) and (s.expand() == A.doit()) + check_exact(k**4, a, b, 0, 2) + check_exact(k**4 + 2*k, a, b, 1, 2) + check_exact(k**4 + k**2, a, b, 1, 5) + check_exact(k**5, 2, 6, 1, 2) + check_exact(k**5, 2, 6, 1, 3) + assert Sum(x-1, (x, 0, 2)).euler_maclaurin(m=30, n=30, eps=2**-15) == (0, 0) + # Not exact + assert Sum(k**6, (k, a, b)).euler_maclaurin(0, 2)[1] != 0 + # Numerical test + for mi, ni in [(2, 4), (2, 20), (10, 20), (18, 20)]: + A = Sum(1/k**3, (k, 1, oo)) + s, e = A.euler_maclaurin(mi, ni) + assert abs((s - zeta(3)).evalf()) < e.evalf() + + raises(ValueError, lambda: Sum(1, (x, 0, 1), (k, 0, 1)).euler_maclaurin()) + + +@slow +def test_evalf_euler_maclaurin(): + assert NS(Sum(1/k**k, (k, 1, oo)), 15) == '1.29128599706266' + assert NS(Sum(1/k**k, (k, 1, oo)), + 50) == '1.2912859970626635404072825905956005414986193682745' + assert NS(Sum(1/k - log(1 + 1/k), (k, 1, oo)), 15) == NS(EulerGamma, 15) + assert NS(Sum(1/k - log(1 + 1/k), (k, 1, oo)), 50) == NS(EulerGamma, 50) + assert NS(Sum(log(k)/k**2, (k, 1, oo)), 15) == '0.937548254315844' + assert NS(Sum(log(k)/k**2, (k, 1, oo)), + 50) == '0.93754825431584375370257409456786497789786028861483' + assert NS(Sum(1/k, (k, 1000000, 2000000)), 15) == '0.693147930560008' + assert NS(Sum(1/k, (k, 1000000, 2000000)), + 50) == '0.69314793056000780941723211364567656807940638436025' + + +def test_evalf_symbolic(): + # issue 6328 + expr = Sum(f(x), (x, 1, 3)) + Sum(g(x), (x, 1, 3)) + assert expr.evalf() == expr + + +def test_evalf_issue_3273(): + assert Sum(0, (k, 1, oo)).evalf() == 0 + + +def test_simple_products(): + assert Product(S.NaN, (x, 1, 3)) is S.NaN + assert product(S.NaN, (x, 1, 3)) is S.NaN + assert Product(x, (n, a, a)).doit() == x + assert Product(x, (x, a, a)).doit() == a + assert Product(x, (y, 1, a)).doit() == x**a + + lo, hi = 1, 2 + s1 = Product(n, (n, lo, hi)) + s2 = Product(n, (n, hi, lo)) + assert s1 != s2 + # This IS correct according to Karr product convention + assert s1.doit() == 2 + assert s2.doit() == 1 + + lo, hi = x, x + 1 + s1 = Product(n, (n, lo, hi)) + s2 = Product(n, (n, hi, lo)) + s3 = 1 / Product(n, (n, hi + 1, lo - 1)) + assert s1 != s2 + # This IS correct according to Karr product convention + assert s1.doit() == x*(x + 1) + assert s2.doit() == 1 + assert s3.doit() == x*(x + 1) + + assert Product(Integral(2*x, (x, 1, y)) + 2*x, (x, 1, 2)).doit() == \ + (y**2 + 1)*(y**2 + 3) + assert product(2, (n, a, b)) == 2**(b - a + 1) + assert product(n, (n, 1, b)) == factorial(b) + assert product(n**3, (n, 1, b)) == factorial(b)**3 + assert product(3**(2 + n), (n, a, b)) \ + == 3**(2*(1 - a + b) + b/2 + (b**2)/2 + a/2 - (a**2)/2) + assert product(cos(n), (n, 3, 5)) == cos(3)*cos(4)*cos(5) + assert product(cos(n), (n, x, x + 2)) == cos(x)*cos(x + 1)*cos(x + 2) + assert isinstance(product(cos(n), (n, x, x + S.Half)), Product) + # If Product managed to evaluate this one, it most likely got it wrong! + assert isinstance(Product(n**n, (n, 1, b)), Product) + + +def test_rational_products(): + assert combsimp(product(1 + 1/n, (n, a, b))) == (1 + b)/a + assert combsimp(product(n + 1, (n, a, b))) == gamma(2 + b)/gamma(1 + a) + assert combsimp(product((n + 1)/(n - 1), (n, a, b))) == b*(1 + b)/(a*(a - 1)) + assert combsimp(product(n/(n + 1)/(n + 2), (n, a, b))) == \ + a*gamma(a + 2)/(b + 1)/gamma(b + 3) + assert combsimp(product(n*(n + 1)/(n - 1)/(n - 2), (n, a, b))) == \ + b**2*(b - 1)*(1 + b)/(a - 1)**2/(a*(a - 2)) + + +def test_wallis_product(): + # Wallis product, given in two different forms to ensure that Product + # can factor simple rational expressions + A = Product(4*n**2 / (4*n**2 - 1), (n, 1, b)) + B = Product((2*n)*(2*n)/(2*n - 1)/(2*n + 1), (n, 1, b)) + R = pi*gamma(b + 1)**2/(2*gamma(b + S.Half)*gamma(b + Rational(3, 2))) + assert simplify(A.doit()) == R + assert simplify(B.doit()) == R + # This one should eventually also be doable (Euler's product formula for sin) + # assert Product(1+x/n**2, (n, 1, b)) == ... + + +def test_telescopic_sums(): + #checks also input 2 of comment 1 issue 4127 + assert Sum(1/k - 1/(k + 1), (k, 1, n)).doit() == 1 - 1/(1 + n) + assert Sum( + f(k) - f(k + 2), (k, m, n)).doit() == -f(1 + n) - f(2 + n) + f(m) + f(1 + m) + assert Sum(cos(k) - cos(k + 3), (k, 1, n)).doit() == -cos(1 + n) - \ + cos(2 + n) - cos(3 + n) + cos(1) + cos(2) + cos(3) + + # dummy variable shouldn't matter + assert telescopic(1/m, -m/(1 + m), (m, n - 1, n)) == \ + telescopic(1/k, -k/(1 + k), (k, n - 1, n)) + + assert Sum(1/x/(x - 1), (x, a, b)).doit() == 1/(a - 1) - 1/b + eq = 1/((5*n + 2)*(5*(n + 1) + 2)) + assert Sum(eq, (n, 0, oo)).doit() == S(1)/10 + nz = symbols('nz', nonzero=True) + v = Sum(eq.subs(5, nz), (n, 0, oo)).doit() + assert v.subs(nz, 5).simplify() == S(1)/10 + # check that apart is being used in non-symbolic case + s = Sum(eq, (n, 0, k)).doit() + v = Sum(eq, (n, 0, 10**100)).doit() + assert v == s.subs(k, 10**100) + + +def test_sum_reconstruct(): + s = Sum(n**2, (n, -1, 1)) + assert s == Sum(*s.args) + raises(ValueError, lambda: Sum(x, x)) + raises(ValueError, lambda: Sum(x, (x, 1))) + + +def test_limit_subs(): + for F in (Sum, Product, Integral): + assert F(a*exp(a), (a, -2, 2)) == F(a*exp(a), (a, -b, b)).subs(b, 2) + assert F(a, (a, F(b, (b, 1, 2)), 4)).subs(F(b, (b, 1, 2)), c) == \ + F(a, (a, c, 4)) + assert F(x, (x, 1, x + y)).subs(x, 1) == F(x, (x, 1, y + 1)) + + +def test_function_subs(): + S = Sum(x*f(y),(x,0,oo),(y,0,oo)) + assert S.subs(f(y),y) == Sum(x*y,(x,0,oo),(y,0,oo)) + assert S.subs(f(x),x) == S + raises(ValueError, lambda: S.subs(f(y),x+y) ) + S = Sum(x*log(y),(x,0,oo),(y,0,oo)) + assert S.subs(log(y),y) == S + S = Sum(x*f(y),(x,0,oo),(y,0,oo)) + assert S.subs(f(y),y) == Sum(x*y,(x,0,oo),(y,0,oo)) + + +def test_equality(): + # if this fails remove special handling below + raises(ValueError, lambda: Sum(x, x)) + r = symbols('x', real=True) + for F in (Sum, Product, Integral): + try: + assert F(x, x) != F(y, y) + assert F(x, (x, 1, 2)) != F(x, x) + assert F(x, (x, x)) != F(x, x) # or else they print the same + assert F(1, x) != F(1, y) + except ValueError: + pass + assert F(a, (x, 1, 2)) != F(a, (x, 1, 3)) # diff limit + assert F(a, (x, 1, x)) != F(a, (y, 1, y)) + assert F(a, (x, 1, 2)) != F(b, (x, 1, 2)) # diff expression + assert F(x, (x, 1, 2)) != F(r, (r, 1, 2)) # diff assumptions + assert F(1, (x, 1, x)) != F(1, (y, 1, x)) # only dummy is diff + assert F(1, (x, 1, x)).dummy_eq(F(1, (y, 1, x))) + + # issue 5265 + assert Sum(x, (x, 1, x)).subs(x, a) == Sum(x, (x, 1, a)) + + +def test_Sum_doit(): + assert Sum(n*Integral(a**2), (n, 0, 2)).doit() == a**3 + assert Sum(n*Integral(a**2), (n, 0, 2)).doit(deep=False) == \ + 3*Integral(a**2) + assert summation(n*Integral(a**2), (n, 0, 2)) == 3*Integral(a**2) + + # test nested sum evaluation + s = Sum( Sum( Sum(2,(z,1,n+1)), (y,x+1,n)), (x,1,n)) + assert 0 == (s.doit() - n*(n+1)*(n-1)).factor() + + # Integer assumes finite + assert Sum(KroneckerDelta(x, y), (x, -oo, oo)).doit() == Piecewise((1, And(-oo < y, y < oo)), (0, True)) + assert Sum(KroneckerDelta(m, n), (m, -oo, oo)).doit() == 1 + assert Sum(m*KroneckerDelta(x, y), (x, -oo, oo)).doit() == Piecewise((m, And(-oo < y, y < oo)), (0, True)) + assert Sum(x*KroneckerDelta(m, n), (m, -oo, oo)).doit() == x + assert Sum(Sum(KroneckerDelta(m, n), (m, 1, 3)), (n, 1, 3)).doit() == 3 + assert Sum(Sum(KroneckerDelta(k, m), (m, 1, 3)), (n, 1, 3)).doit() == \ + 3 * Piecewise((1, And(1 <= k, k <= 3)), (0, True)) + assert Sum(f(n) * Sum(KroneckerDelta(m, n), (m, 0, oo)), (n, 1, 3)).doit() == \ + f(1) + f(2) + f(3) + assert Sum(f(n) * Sum(KroneckerDelta(m, n), (m, 0, oo)), (n, 1, oo)).doit() == \ + Sum(f(n), (n, 1, oo)) + + # issue 2597 + nmax = symbols('N', integer=True, positive=True) + pw = Piecewise((1, And(1 <= n, n <= nmax)), (0, True)) + assert Sum(pw, (n, 1, nmax)).doit() == Sum(Piecewise((1, nmax >= n), + (0, True)), (n, 1, nmax)) + + q, s = symbols('q, s') + assert summation(1/n**(2*s), (n, 1, oo)) == Piecewise((zeta(2*s), 2*re(s) > 1), + (Sum(n**(-2*s), (n, 1, oo)), True)) + assert summation(1/(n+1)**s, (n, 0, oo)) == Piecewise((zeta(s), re(s) > 1), + (Sum((n + 1)**(-s), (n, 0, oo)), True)) + assert summation(1/(n+q)**s, (n, 0, oo)) == Piecewise( + (zeta(s, q), And(~Contains(-q, S.Naturals0), re(s) > 1)), + (Sum((n + q)**(-s), (n, 0, oo)), True)) + assert summation(1/(n+q)**s, (n, q, oo)) == Piecewise( + (zeta(s, 2*q), And(~Contains(-2*q, S.Naturals0), re(s) > 1)), + (Sum((n + q)**(-s), (n, q, oo)), True)) + assert summation(1/n**2, (n, 1, oo)) == zeta(2) + assert summation(1/n**s, (n, 0, oo)) == Sum(n**(-s), (n, 0, oo)) + assert summation(1/(n+1)**(2+I), (n, 0, oo)) == zeta(2+I) + t = symbols('t', real=True, positive=True) + assert summation(1/(n+I)**(t+1), (n, 0, oo)) == zeta(t+1, I) + + +def test_Product_doit(): + assert Product(n*Integral(a**2), (n, 1, 3)).doit() == 2 * a**9 / 9 + assert Product(n*Integral(a**2), (n, 1, 3)).doit(deep=False) == \ + 6*Integral(a**2)**3 + assert product(n*Integral(a**2), (n, 1, 3)) == 6*Integral(a**2)**3 + + +def test_Sum_interface(): + assert isinstance(Sum(0, (n, 0, 2)), Sum) + assert Sum(nan, (n, 0, 2)) is nan + assert Sum(nan, (n, 0, oo)) is nan + assert Sum(0, (n, 0, 2)).doit() == 0 + assert isinstance(Sum(0, (n, 0, oo)), Sum) + assert Sum(0, (n, 0, oo)).doit() == 0 + raises(ValueError, lambda: Sum(1)) + raises(ValueError, lambda: summation(1)) + + +def test_diff(): + assert Sum(x, (x, 1, 2)).diff(x) == 0 + assert Sum(x*y, (x, 1, 2)).diff(x) == 0 + assert Sum(x*y, (y, 1, 2)).diff(x) == Sum(y, (y, 1, 2)) + e = Sum(x*y, (x, 1, a)) + assert e.diff(a) == Derivative(e, a) + assert Sum(x*y, (x, 1, 3), (a, 2, 5)).diff(y).doit() == \ + Sum(x*y, (x, 1, 3), (a, 2, 5)).doit().diff(y) == 24 + assert Sum(x, (x, 1, 2)).diff(y) == 0 + + +def test_hypersum(): + assert simplify(summation(x**n/fac(n), (n, 1, oo))) == -1 + exp(x) + assert summation((-1)**n * x**(2*n) / fac(2*n), (n, 0, oo)) == cos(x) + assert simplify(summation((-1)**n*x**(2*n + 1) / + factorial(2*n + 1), (n, 3, oo))) == -x + sin(x) + x**3/6 - x**5/120 + + assert summation(1/(n + 2)**3, (n, 1, oo)) == Rational(-9, 8) + zeta(3) + assert summation(1/n**4, (n, 1, oo)) == pi**4/90 + + s = summation(x**n*n, (n, -oo, 0)) + assert s.is_Piecewise + assert s.args[0].args[0] == -1/(x*(1 - 1/x)**2) + assert s.args[0].args[1] == (abs(1/x) < 1) + + m = Symbol('n', integer=True, positive=True) + assert summation(binomial(m, k), (k, 0, m)) == 2**m + + +def test_issue_4170(): + assert summation(1/factorial(k), (k, 0, oo)) == E + + +def test_is_commutative(): + from sympy.physics.secondquant import NO, F, Fd + m = Symbol('m', commutative=False) + for f in (Sum, Product, Integral): + assert f(z, (z, 1, 1)).is_commutative is True + assert f(z*y, (z, 1, 6)).is_commutative is True + assert f(m*x, (x, 1, 2)).is_commutative is False + + assert f(NO(Fd(x)*F(y))*z, (z, 1, 2)).is_commutative is False + + +def test_is_zero(): + for func in [Sum, Product]: + assert func(0, (x, 1, 1)).is_zero is True + assert func(x, (x, 1, 1)).is_zero is None + + assert Sum(0, (x, 1, 0)).is_zero is True + assert Product(0, (x, 1, 0)).is_zero is False + + +def test_is_number(): + # is number should not rely on evaluation or assumptions, + # it should be equivalent to `not foo.free_symbols` + assert Sum(1, (x, 1, 1)).is_number is True + assert Sum(1, (x, 1, x)).is_number is False + assert Sum(0, (x, y, z)).is_number is False + assert Sum(x, (y, 1, 2)).is_number is False + assert Sum(x, (y, 1, 1)).is_number is False + assert Sum(x, (x, 1, 2)).is_number is True + assert Sum(x*y, (x, 1, 2), (y, 1, 3)).is_number is True + + assert Product(2, (x, 1, 1)).is_number is True + assert Product(2, (x, 1, y)).is_number is False + assert Product(0, (x, y, z)).is_number is False + assert Product(1, (x, y, z)).is_number is False + assert Product(x, (y, 1, x)).is_number is False + assert Product(x, (y, 1, 2)).is_number is False + assert Product(x, (y, 1, 1)).is_number is False + assert Product(x, (x, 1, 2)).is_number is True + + +def test_free_symbols(): + for func in [Sum, Product]: + assert func(1, (x, 1, 2)).free_symbols == set() + assert func(0, (x, 1, y)).free_symbols == {y} + assert func(2, (x, 1, y)).free_symbols == {y} + assert func(x, (x, 1, 2)).free_symbols == set() + assert func(x, (x, 1, y)).free_symbols == {y} + assert func(x, (y, 1, y)).free_symbols == {x, y} + assert func(x, (y, 1, 2)).free_symbols == {x} + assert func(x, (y, 1, 1)).free_symbols == {x} + assert func(x, (y, 1, z)).free_symbols == {x, z} + assert func(x, (x, 1, y), (y, 1, 2)).free_symbols == set() + assert func(x, (x, 1, y), (y, 1, z)).free_symbols == {z} + assert func(x, (x, 1, y), (y, 1, y)).free_symbols == {y} + assert func(x, (y, 1, y), (y, 1, z)).free_symbols == {x, z} + assert Sum(1, (x, 1, y)).free_symbols == {y} + # free_symbols answers whether the object *as written* has free symbols, + # not whether the evaluated expression has free symbols + assert Product(1, (x, 1, y)).free_symbols == {y} + # don't count free symbols that are not independent of integration + # variable(s) + assert func(f(x), (f(x), 1, 2)).free_symbols == set() + assert func(f(x), (f(x), 1, x)).free_symbols == {x} + assert func(f(x), (f(x), 1, y)).free_symbols == {y} + assert func(f(x), (z, 1, y)).free_symbols == {x, y} + + +def test_conjugate_transpose(): + A, B = symbols("A B", commutative=False) + p = Sum(A*B**n, (n, 1, 3)) + assert p.adjoint().doit() == p.doit().adjoint() + assert p.conjugate().doit() == p.doit().conjugate() + assert p.transpose().doit() == p.doit().transpose() + + p = Sum(B**n*A, (n, 1, 3)) + assert p.adjoint().doit() == p.doit().adjoint() + assert p.conjugate().doit() == p.doit().conjugate() + assert p.transpose().doit() == p.doit().transpose() + + +def test_noncommutativity_honoured(): + A, B = symbols("A B", commutative=False) + M = symbols('M', integer=True, positive=True) + p = Sum(A*B**n, (n, 1, M)) + assert p.doit() == A*Piecewise((M, Eq(B, 1)), + ((B - B**(M + 1))*(1 - B)**(-1), True)) + + p = Sum(B**n*A, (n, 1, M)) + assert p.doit() == Piecewise((M, Eq(B, 1)), + ((B - B**(M + 1))*(1 - B)**(-1), True))*A + + p = Sum(B**n*A*B**n, (n, 1, M)) + assert p.doit() == p + + +def test_issue_4171(): + assert summation(factorial(2*k + 1)/factorial(2*k), (k, 0, oo)) is oo + assert summation(2*k + 1, (k, 0, oo)) is oo + + +def test_issue_6273(): + assert Sum(x, (x, 1, n)).n(2, subs={n: 1}) == Float(1, 2) + + +def test_issue_6274(): + assert Sum(x, (x, 1, 0)).doit() == 0 + assert NS(Sum(x, (x, 1, 0))) == '0' + assert Sum(n, (n, 10, 5)).doit() == -30 + assert NS(Sum(n, (n, 10, 5))) == '-30.0000000000000' + + +def test_simplify_sum(): + y, t, v = symbols('y, t, v') + + _simplify = lambda e: simplify(e, doit=False) + assert _simplify(Sum(x*y, (x, n, m), (y, a, k)) + \ + Sum(y, (x, n, m), (y, a, k))) == Sum(y * (x + 1), (x, n, m), (y, a, k)) + assert _simplify(Sum(x, (x, n, m)) + Sum(x, (x, m + 1, a))) == \ + Sum(x, (x, n, a)) + assert _simplify(Sum(x, (x, k + 1, a)) + Sum(x, (x, n, k))) == \ + Sum(x, (x, n, a)) + assert _simplify(Sum(x, (x, k + 1, a)) + Sum(x + 1, (x, n, k))) == \ + Sum(x, (x, n, a)) + Sum(1, (x, n, k)) + assert _simplify(Sum(x, (x, 0, 3)) * 3 + 3 * Sum(x, (x, 4, 6)) + \ + 4 * Sum(z, (z, 0, 1))) == 4*Sum(z, (z, 0, 1)) + 3*Sum(x, (x, 0, 6)) + assert _simplify(3*Sum(x**2, (x, a, b)) + Sum(x, (x, a, b))) == \ + Sum(x*(3*x + 1), (x, a, b)) + assert _simplify(Sum(x**3, (x, n, k)) * 3 + 3 * Sum(x, (x, n, k)) + \ + 4 * y * Sum(z, (z, n, k))) + 1 == \ + 4*y*Sum(z, (z, n, k)) + 3*Sum(x**3 + x, (x, n, k)) + 1 + assert _simplify(Sum(x, (x, a, b)) + 1 + Sum(x, (x, b + 1, c))) == \ + 1 + Sum(x, (x, a, c)) + assert _simplify(Sum(x, (t, a, b)) + Sum(y, (t, a, b)) + \ + Sum(x, (t, b+1, c))) == x * Sum(1, (t, a, c)) + y * Sum(1, (t, a, b)) + assert _simplify(Sum(x, (t, a, b)) + Sum(x, (t, b+1, c)) + \ + Sum(y, (t, a, b))) == x * Sum(1, (t, a, c)) + y * Sum(1, (t, a, b)) + assert _simplify(Sum(x, (t, a, b)) + 2 * Sum(x, (t, b+1, c))) == \ + _simplify(Sum(x, (t, a, b)) + Sum(x, (t, b+1, c)) + Sum(x, (t, b+1, c))) + assert _simplify(Sum(x, (x, a, b))*Sum(x**2, (x, a, b))) == \ + Sum(x, (x, a, b)) * Sum(x**2, (x, a, b)) + assert _simplify(Sum(x, (t, a, b)) + Sum(y, (t, a, b)) + Sum(z, (t, a, b))) \ + == (x + y + z) * Sum(1, (t, a, b)) # issue 8596 + assert _simplify(Sum(x, (t, a, b)) + Sum(y, (t, a, b)) + Sum(z, (t, a, b)) + \ + Sum(v, (t, a, b))) == (x + y + z + v) * Sum(1, (t, a, b)) # issue 8596 + assert _simplify(Sum(x * y, (x, a, b)) / (3 * y)) == \ + (Sum(x, (x, a, b)) / 3) + assert _simplify(Sum(f(x) * y * z, (x, a, b)) / (y * z)) \ + == Sum(f(x), (x, a, b)) + assert _simplify(Sum(c * x, (x, a, b)) - c * Sum(x, (x, a, b))) == 0 + assert _simplify(c * (Sum(x, (x, a, b)) + y)) == c * (y + Sum(x, (x, a, b))) + assert _simplify(c * (Sum(x, (x, a, b)) + y * Sum(x, (x, a, b)))) == \ + c * (y + 1) * Sum(x, (x, a, b)) + assert _simplify(Sum(Sum(c * x, (x, a, b)), (y, a, b))) == \ + c * Sum(x, (x, a, b), (y, a, b)) + assert _simplify(Sum((3 + y) * Sum(c * x, (x, a, b)), (y, a, b))) == \ + c * Sum((3 + y), (y, a, b)) * Sum(x, (x, a, b)) + assert _simplify(Sum((3 + t) * Sum(c * t, (x, a, b)), (y, a, b))) == \ + c*t*(t + 3)*Sum(1, (x, a, b))*Sum(1, (y, a, b)) + assert _simplify(Sum(Sum(d * t, (x, a, b - 1)) + \ + Sum(d * t, (x, b, c)), (t, a, b))) == \ + d * Sum(1, (x, a, c)) * Sum(t, (t, a, b)) + assert _simplify(Sum(sin(t)**2 + cos(t)**2 + 1, (t, a, b))) == \ + 2 * Sum(1, (t, a, b)) + + +def test_change_index(): + b, v, w = symbols('b, v, w', integer = True) + + assert Sum(x, (x, a, b)).change_index(x, x + 1, y) == \ + Sum(y - 1, (y, a + 1, b + 1)) + assert Sum(x**2, (x, a, b)).change_index( x, x - 1) == \ + Sum((x+1)**2, (x, a - 1, b - 1)) + assert Sum(x**2, (x, a, b)).change_index( x, -x, y) == \ + Sum((-y)**2, (y, -b, -a)) + assert Sum(x, (x, a, b)).change_index( x, -x - 1) == \ + Sum(-x - 1, (x, -b - 1, -a - 1)) + assert Sum(x*y, (x, a, b), (y, c, d)).change_index( x, x - 1, z) == \ + Sum((z + 1)*y, (z, a - 1, b - 1), (y, c, d)) + assert Sum(x, (x, a, b)).change_index( x, x + v) == \ + Sum(-v + x, (x, a + v, b + v)) + assert Sum(x, (x, a, b)).change_index( x, -x - v) == \ + Sum(-v - x, (x, -b - v, -a - v)) + assert Sum(x, (x, a, b)).change_index(x, w*x, v) == \ + Sum(v/w, (v, b*w, a*w)) + raises(ValueError, lambda: Sum(x, (x, a, b)).change_index(x, 2*x)) + + +def test_reorder(): + b, y, c, d, z = symbols('b, y, c, d, z', integer = True) + + assert Sum(x*y, (x, a, b), (y, c, d)).reorder((0, 1)) == \ + Sum(x*y, (y, c, d), (x, a, b)) + assert Sum(x, (x, a, b), (x, c, d)).reorder((0, 1)) == \ + Sum(x, (x, c, d), (x, a, b)) + assert Sum(x*y + z, (x, a, b), (z, m, n), (y, c, d)).reorder(\ + (2, 0), (0, 1)) == Sum(x*y + z, (z, m, n), (y, c, d), (x, a, b)) + assert Sum(x*y*z, (x, a, b), (y, c, d), (z, m, n)).reorder(\ + (0, 1), (1, 2), (0, 2)) == Sum(x*y*z, (x, a, b), (z, m, n), (y, c, d)) + assert Sum(x*y*z, (x, a, b), (y, c, d), (z, m, n)).reorder(\ + (x, y), (y, z), (x, z)) == Sum(x*y*z, (x, a, b), (z, m, n), (y, c, d)) + assert Sum(x*y, (x, a, b), (y, c, d)).reorder((x, 1)) == \ + Sum(x*y, (y, c, d), (x, a, b)) + assert Sum(x*y, (x, a, b), (y, c, d)).reorder((y, x)) == \ + Sum(x*y, (y, c, d), (x, a, b)) + + +def test_reverse_order(): + assert Sum(x, (x, 0, 3)).reverse_order(0) == Sum(-x, (x, 4, -1)) + assert Sum(x*y, (x, 1, 5), (y, 0, 6)).reverse_order(0, 1) == \ + Sum(x*y, (x, 6, 0), (y, 7, -1)) + assert Sum(x, (x, 1, 2)).reverse_order(0) == Sum(-x, (x, 3, 0)) + assert Sum(x, (x, 1, 3)).reverse_order(0) == Sum(-x, (x, 4, 0)) + assert Sum(x, (x, 1, a)).reverse_order(0) == Sum(-x, (x, a + 1, 0)) + assert Sum(x, (x, a, 5)).reverse_order(0) == Sum(-x, (x, 6, a - 1)) + assert Sum(x, (x, a + 1, a + 5)).reverse_order(0) == \ + Sum(-x, (x, a + 6, a)) + assert Sum(x, (x, a + 1, a + 2)).reverse_order(0) == \ + Sum(-x, (x, a + 3, a)) + assert Sum(x, (x, a + 1, a + 1)).reverse_order(0) == \ + Sum(-x, (x, a + 2, a)) + assert Sum(x, (x, a, b)).reverse_order(0) == Sum(-x, (x, b + 1, a - 1)) + assert Sum(x, (x, a, b)).reverse_order(x) == Sum(-x, (x, b + 1, a - 1)) + assert Sum(x*y, (x, a, b), (y, 2, 5)).reverse_order(x, 1) == \ + Sum(x*y, (x, b + 1, a - 1), (y, 6, 1)) + assert Sum(x*y, (x, a, b), (y, 2, 5)).reverse_order(y, x) == \ + Sum(x*y, (x, b + 1, a - 1), (y, 6, 1)) + + +def test_issue_7097(): + assert sum(x**n/n for n in range(1, 401)) == summation(x**n/n, (n, 1, 400)) + + +def test_factor_expand_subs(): + # test factoring + assert Sum(4 * x, (x, 1, y)).factor() == 4 * Sum(x, (x, 1, y)) + assert Sum(x * a, (x, 1, y)).factor() == a * Sum(x, (x, 1, y)) + assert Sum(4 * x * a, (x, 1, y)).factor() == 4 * a * Sum(x, (x, 1, y)) + assert Sum(4 * x * y, (x, 1, y)).factor() == 4 * y * Sum(x, (x, 1, y)) + + # test expand + _x = Symbol('x', zero=False) + assert Sum(x+1,(x,1,y)).expand() == Sum(x,(x,1,y)) + Sum(1,(x,1,y)) + assert Sum(x+a*x**2,(x,1,y)).expand() == Sum(x,(x,1,y)) + Sum(a*x**2,(x,1,y)) + assert Sum(_x**(n + 1)*(n + 1), (n, -1, oo)).expand() \ + == Sum(n*_x*_x**n + _x*_x**n, (n, -1, oo)) + assert Sum(x**(n + 1)*(n + 1), (n, -1, oo)).expand(power_exp=False) \ + == Sum(n*x**(n + 1) + x**(n + 1), (n, -1, oo)) + assert Sum(x**(n + 1)*(n + 1), (n, -1, oo)).expand(force=True) \ + == Sum(x*x**n, (n, -1, oo)) + Sum(n*x*x**n, (n, -1, oo)) + assert Sum(a*n+a*n**2,(n,0,4)).expand() \ + == Sum(a*n,(n,0,4)) + Sum(a*n**2,(n,0,4)) + assert Sum(_x**a*_x**n,(x,0,3)) \ + == Sum(_x**(a+n),(x,0,3)).expand(power_exp=True) + _a, _n = symbols('a n', positive=True) + assert Sum(x**(_a+_n),(x,0,3)).expand(power_exp=True) \ + == Sum(x**_a*x**_n, (x, 0, 3)) + assert Sum(x**(_a-_n),(x,0,3)).expand(power_exp=True) \ + == Sum(x**(_a-_n),(x,0,3)).expand(power_exp=False) + + # test subs + assert Sum(1/(1+a*x**2),(x,0,3)).subs([(a,3)]) == Sum(1/(1+3*x**2),(x,0,3)) + assert Sum(x*y,(x,0,y),(y,0,x)).subs([(x,3)]) == Sum(x*y,(x,0,y),(y,0,3)) + assert Sum(x,(x,1,10)).subs([(x,y-2)]) == Sum(x,(x,1,10)) + assert Sum(1/x,(x,1,10)).subs([(x,(3+n)**3)]) == Sum(1/x,(x,1,10)) + assert Sum(1/x,(x,1,10)).subs([(x,3*x-2)]) == Sum(1/x,(x,1,10)) + + +def test_distribution_over_equality(): + assert Product(Eq(x*2, f(x)), (x, 1, 3)).doit() == Eq(48, f(1)*f(2)*f(3)) + assert Sum(Eq(f(x), x**2), (x, 0, y)) == \ + Eq(Sum(f(x), (x, 0, y)), Sum(x**2, (x, 0, y))) + + +def test_issue_2787(): + n, k = symbols('n k', positive=True, integer=True) + p = symbols('p', positive=True) + binomial_dist = binomial(n, k)*p**k*(1 - p)**(n - k) + s = Sum(binomial_dist*k, (k, 0, n)) + res = s.doit().simplify() + ans = Piecewise( + (n*p, x), + (Sum(k*p**k*binomial(n, k)*(1 - p)**(n - k), (k, 0, n)), + True)).subs(x, (Eq(n, 1) | (n > 1)) & (p/Abs(p - 1) <= 1)) + ans2 = Piecewise( + (n*p, x), + (factorial(n)*Sum(p**k*(1 - p)**(-k + n)/ + (factorial(-k + n)*factorial(k - 1)), (k, 0, n)), + True)).subs(x, (Eq(n, 1) | (n > 1)) & (p/Abs(p - 1) <= 1)) + assert res in [ans, ans2] # XXX system dependent + # Issue #17165: make sure that another simplify does not complicate + # the result by much. Why didn't first simplify replace + # Eq(n, 1) | (n > 1) with True? + assert res.simplify().count_ops() <= res.count_ops() + 2 + + +def test_issue_4668(): + assert summation(1/n, (n, 2, oo)) is oo + + +def test_matrix_sum(): + A = Matrix([[0, 1], [n, 0]]) + + result = Sum(A, (n, 0, 3)).doit() + assert result == Matrix([[0, 4], [6, 0]]) + assert result.__class__ == ImmutableDenseMatrix + + A = SparseMatrix([[0, 1], [n, 0]]) + + result = Sum(A, (n, 0, 3)).doit() + assert result.__class__ == ImmutableSparseMatrix + + +def test_failing_matrix_sum(): + n = Symbol('n') + # TODO Implement matrix geometric series summation. + A = Matrix([[0, 1, 0], [-1, 0, 0], [0, 0, 0]]) + assert Sum(A ** n, (n, 1, 4)).doit() == \ + Matrix([[0, 0, 0], [0, 0, 0], [0, 0, 0]]) + # issue sympy/sympy#16989 + assert summation(A**n, (n, 1, 1)) == A + + +def test_indexed_idx_sum(): + i = symbols('i', cls=Idx) + r = Indexed('r', i) + assert Sum(r, (i, 0, 3)).doit() == sum(r.xreplace({i: j}) for j in range(4)) + assert Product(r, (i, 0, 3)).doit() == prod([r.xreplace({i: j}) for j in range(4)]) + + j = symbols('j', integer=True) + assert Sum(r, (i, j, j+2)).doit() == sum(r.xreplace({i: j+k}) for k in range(3)) + assert Product(r, (i, j, j+2)).doit() == prod([r.xreplace({i: j+k}) for k in range(3)]) + + k = Idx('k', range=(1, 3)) + A = IndexedBase('A') + assert Sum(A[k], k).doit() == sum(A[Idx(j, (1, 3))] for j in range(1, 4)) + assert Product(A[k], k).doit() == prod([A[Idx(j, (1, 3))] for j in range(1, 4)]) + + raises(ValueError, lambda: Sum(A[k], (k, 1, 4))) + raises(ValueError, lambda: Sum(A[k], (k, 0, 3))) + raises(ValueError, lambda: Sum(A[k], (k, 2, oo))) + + raises(ValueError, lambda: Product(A[k], (k, 1, 4))) + raises(ValueError, lambda: Product(A[k], (k, 0, 3))) + raises(ValueError, lambda: Product(A[k], (k, 2, oo))) + + +@slow +def test_is_convergent(): + # divergence tests -- + assert Sum(n/(2*n + 1), (n, 1, oo)).is_convergent() is S.false + assert Sum(factorial(n)/5**n, (n, 1, oo)).is_convergent() is S.false + assert Sum(3**(-2*n - 1)*n**n, (n, 1, oo)).is_convergent() is S.false + assert Sum((-1)**n*n, (n, 3, oo)).is_convergent() is S.false + assert Sum((-1)**n, (n, 1, oo)).is_convergent() is S.false + assert Sum(log(1/n), (n, 2, oo)).is_convergent() is S.false + assert Sum(sin(n), (n, 1, oo)).is_convergent() is S.false + + # Raabe's test -- + assert Sum(Product((3*m),(m,1,n))/Product((3*m+4),(m,1,n)),(n,1,oo)).is_convergent() is S.true + + # root test -- + assert Sum((-12)**n/n, (n, 1, oo)).is_convergent() is S.false + + # integral test -- + + # p-series test -- + assert Sum(1/(n**2 + 1), (n, 1, oo)).is_convergent() is S.true + assert Sum(1/n**Rational(6, 5), (n, 1, oo)).is_convergent() is S.true + assert Sum(2/(n*sqrt(n - 1)), (n, 2, oo)).is_convergent() is S.true + assert Sum(1/(sqrt(n)*sqrt(n)), (n, 2, oo)).is_convergent() is S.false + assert Sum(factorial(n) / factorial(n+2), (n, 1, oo)).is_convergent() is S.true + assert Sum(rf(5,n)/rf(7,n),(n,1,oo)).is_convergent() is S.true + assert Sum((rf(1, n)*rf(2, n))/(rf(3, n)*factorial(n)),(n,1,oo)).is_convergent() is S.false + + # comparison test -- + assert Sum(1/(n + log(n)), (n, 1, oo)).is_convergent() is S.false + assert Sum(1/(n**2*log(n)), (n, 2, oo)).is_convergent() is S.true + assert Sum(1/(n*log(n)), (n, 2, oo)).is_convergent() is S.false + assert Sum(2/(n*log(n)*log(log(n))**2), (n, 5, oo)).is_convergent() is S.true + assert Sum(2/(n*log(n)**2), (n, 2, oo)).is_convergent() is S.true + assert Sum((n - 1)/(n**2*log(n)**3), (n, 2, oo)).is_convergent() is S.true + assert Sum(1/(n*log(n)*log(log(n))), (n, 5, oo)).is_convergent() is S.false + assert Sum((n - 1)/(n*log(n)**3), (n, 3, oo)).is_convergent() is S.false + assert Sum(2/(n**2*log(n)), (n, 2, oo)).is_convergent() is S.true + assert Sum(1/(n*sqrt(log(n))*log(log(n))), (n, 100, oo)).is_convergent() is S.false + assert Sum(log(log(n))/(n*log(n)**2), (n, 100, oo)).is_convergent() is S.true + assert Sum(log(n)/n**2, (n, 5, oo)).is_convergent() is S.true + + # alternating series tests -- + assert Sum((-1)**(n - 1)/(n**2 - 1), (n, 3, oo)).is_convergent() is S.true + + # with -negativeInfinite Limits + assert Sum(1/(n**2 + 1), (n, -oo, 1)).is_convergent() is S.true + assert Sum(1/(n - 1), (n, -oo, -1)).is_convergent() is S.false + assert Sum(1/(n**2 - 1), (n, -oo, -5)).is_convergent() is S.true + assert Sum(1/(n**2 - 1), (n, -oo, 2)).is_convergent() is S.true + assert Sum(1/(n**2 - 1), (n, -oo, oo)).is_convergent() is S.true + + # piecewise functions + f = Piecewise((n**(-2), n <= 1), (n**2, n > 1)) + assert Sum(f, (n, 1, oo)).is_convergent() is S.false + assert Sum(f, (n, -oo, oo)).is_convergent() is S.false + assert Sum(f, (n, 1, 100)).is_convergent() is S.true + #assert Sum(f, (n, -oo, 1)).is_convergent() is S.true + + # integral test + + assert Sum(log(n)/n**3, (n, 1, oo)).is_convergent() is S.true + assert Sum(-log(n)/n**3, (n, 1, oo)).is_convergent() is S.true + # the following function has maxima located at (x, y) = + # (1.2, 0.43), (3.0, -0.25) and (6.8, 0.050) + eq = (x - 2)*(x**2 - 6*x + 4)*exp(-x) + assert Sum(eq, (x, 1, oo)).is_convergent() is S.true + assert Sum(eq, (x, 1, 2)).is_convergent() is S.true + assert Sum(1/(x**3), (x, 1, oo)).is_convergent() is S.true + assert Sum(1/(x**S.Half), (x, 1, oo)).is_convergent() is S.false + + # issue 19545 + assert Sum(1/n - 3/(3*n +2), (n, 1, oo)).is_convergent() is S.true + + # issue 19836 + assert Sum(4/(n + 2) - 5/(n + 1) + 1/n,(n, 7, oo)).is_convergent() is S.true + + +def test_is_absolutely_convergent(): + assert Sum((-1)**n, (n, 1, oo)).is_absolutely_convergent() is S.false + assert Sum((-1)**n/n**2, (n, 1, oo)).is_absolutely_convergent() is S.true + + +@XFAIL +def test_convergent_failing(): + # dirichlet tests + assert Sum(sin(n)/n, (n, 1, oo)).is_convergent() is S.true + assert Sum(sin(2*n)/n, (n, 1, oo)).is_convergent() is S.true + + +def test_issue_6966(): + i, k, m = symbols('i k m', integer=True) + z_i, q_i = symbols('z_i q_i') + a_k = Sum(-q_i*z_i/k,(i,1,m)) + b_k = a_k.diff(z_i) + assert isinstance(b_k, Sum) + assert b_k == Sum(-q_i/k,(i,1,m)) + + +def test_issue_10156(): + cx = Sum(2*y**2*x, (x, 1,3)) + e = 2*y*Sum(2*cx*x**2, (x, 1, 9)) + assert e.factor() == \ + 8*y**3*Sum(x, (x, 1, 3))*Sum(x**2, (x, 1, 9)) + + +def test_issue_10973(): + assert Sum((-n + (n**3 + 1)**(S(1)/3))/log(n), (n, 1, oo)).is_convergent() is S.true + + +def test_issue_14103(): + assert Sum(sin(n)**2 + cos(n)**2 - 1, (n, 1, oo)).is_convergent() is S.true + assert Sum(sin(pi*n), (n, 1, oo)).is_convergent() is S.true + + +def test_issue_14129(): + x = Symbol('x', zero=False) + assert Sum( k*x**k, (k, 0, n-1)).doit() == \ + Piecewise((n**2/2 - n/2, Eq(x, 1)), ((n*x*x**n - + n*x**n - x*x**n + x)/(x - 1)**2, True)) + assert Sum( x**k, (k, 0, n-1)).doit() == \ + Piecewise((n, Eq(x, 1)), ((-x**n + 1)/(-x + 1), True)) + assert Sum( k*(x/y+x)**k, (k, 0, n-1)).doit() == \ + Piecewise((n*(n - 1)/2, Eq(x, y/(y + 1))), + (x*(y + 1)*(n*x*y*(x + x/y)**(n - 1) + + n*x*(x + x/y)**(n - 1) - n*y*(x + x/y)**(n - 1) - + x*y*(x + x/y)**(n - 1) - x*(x + x/y)**(n - 1) + y)/ + (x*y + x - y)**2, True)) + + +def test_issue_14112(): + assert Sum((-1)**n/sqrt(n), (n, 1, oo)).is_absolutely_convergent() is S.false + assert Sum((-1)**(2*n)/n, (n, 1, oo)).is_convergent() is S.false + assert Sum((-2)**n + (-3)**n, (n, 1, oo)).is_convergent() is S.false + + +def test_issue_14219(): + A = diag(0, 2, -3) + res = diag(1, 15, -20) + assert Sum(A**n, (n, 0, 3)).doit() == res + + +def test_sin_times_absolutely_convergent(): + assert Sum(sin(n) / n**3, (n, 1, oo)).is_convergent() is S.true + assert Sum(sin(n) * log(n) / n**3, (n, 1, oo)).is_convergent() is S.true + + +def test_issue_14111(): + assert Sum(1/log(log(n)), (n, 22, oo)).is_convergent() is S.false + + +def test_issue_14484(): + assert Sum(sin(n)/log(log(n)), (n, 22, oo)).is_convergent() is S.false + + +def test_issue_14640(): + i, n = symbols("i n", integer=True) + a, b, c = symbols("a b c", zero=False) + + assert Sum(a**-i/(a - b), (i, 0, n)).doit() == Sum( + 1/(a*a**i - a**i*b), (i, 0, n)).doit() == Piecewise( + (n + 1, Eq(1/a, 1)), + ((-a**(-n - 1) + 1)/(1 - 1/a), True))/(a - b) + + assert Sum((b*a**i - c*a**i)**-2, (i, 0, n)).doit() == Piecewise( + (n + 1, Eq(a**(-2), 1)), + ((-a**(-2*n - 2) + 1)/(1 - 1/a**2), True))/(b - c)**2 + + s = Sum(i*(a**(n - i) - b**(n - i))/(a - b), (i, 0, n)).doit() + assert not s.has(Sum) + assert s.subs({a: 2, b: 3, n: 5}) == 122 + + +def test_issue_15943(): + s = Sum(binomial(n, k)*factorial(n - k), (k, 0, n)).doit().rewrite(gamma) + assert s == -E*(n + 1)*gamma(n + 1)*lowergamma(n + 1, 1)/gamma(n + 2 + ) + E*gamma(n + 1) + assert s.simplify() == E*(factorial(n) - lowergamma(n + 1, 1)) + + +def test_Sum_dummy_eq(): + assert not Sum(x, (x, a, b)).dummy_eq(1) + assert not Sum(x, (x, a, b)).dummy_eq(Sum(x, (x, a, b), (a, 1, 2))) + assert not Sum(x, (x, a, b)).dummy_eq(Sum(x, (x, a, c))) + assert Sum(x, (x, a, b)).dummy_eq(Sum(x, (x, a, b))) + d = Dummy() + assert Sum(x, (x, a, d)).dummy_eq(Sum(x, (x, a, c)), c) + assert not Sum(x, (x, a, d)).dummy_eq(Sum(x, (x, a, c))) + assert Sum(x, (x, a, c)).dummy_eq(Sum(y, (y, a, c))) + assert Sum(x, (x, a, d)).dummy_eq(Sum(y, (y, a, c)), c) + assert not Sum(x, (x, a, d)).dummy_eq(Sum(y, (y, a, c))) + + +def test_issue_15852(): + assert summation(x**y*y, (y, -oo, oo)).doit() == Sum(x**y*y, (y, -oo, oo)) + + +def test_exceptions(): + S = Sum(x, (x, a, b)) + raises(ValueError, lambda: S.change_index(x, x**2, y)) + S = Sum(x, (x, a, b), (x, 1, 4)) + raises(ValueError, lambda: S.index(x)) + S = Sum(x, (x, a, b), (y, 1, 4)) + raises(ValueError, lambda: S.reorder([x])) + S = Sum(x, (x, y, b), (y, 1, 4)) + raises(ReorderError, lambda: S.reorder_limit(0, 1)) + S = Sum(x*y, (x, a, b), (y, 1, 4)) + raises(NotImplementedError, lambda: S.is_convergent()) + + +def test_sumproducts_assumptions(): + M = Symbol('M', integer=True, positive=True) + + m = Symbol('m', integer=True) + for func in [Sum, Product]: + assert func(m, (m, -M, M)).is_positive is None + assert func(m, (m, -M, M)).is_nonpositive is None + assert func(m, (m, -M, M)).is_negative is None + assert func(m, (m, -M, M)).is_nonnegative is None + assert func(m, (m, -M, M)).is_finite is True + + m = Symbol('m', integer=True, nonnegative=True) + for func in [Sum, Product]: + assert func(m, (m, 0, M)).is_positive is None + assert func(m, (m, 0, M)).is_nonpositive is None + assert func(m, (m, 0, M)).is_negative is False + assert func(m, (m, 0, M)).is_nonnegative is True + assert func(m, (m, 0, M)).is_finite is True + + m = Symbol('m', integer=True, positive=True) + for func in [Sum, Product]: + assert func(m, (m, 1, M)).is_positive is True + assert func(m, (m, 1, M)).is_nonpositive is False + assert func(m, (m, 1, M)).is_negative is False + assert func(m, (m, 1, M)).is_nonnegative is True + assert func(m, (m, 1, M)).is_finite is True + + m = Symbol('m', integer=True, negative=True) + assert Sum(m, (m, -M, -1)).is_positive is False + assert Sum(m, (m, -M, -1)).is_nonpositive is True + assert Sum(m, (m, -M, -1)).is_negative is True + assert Sum(m, (m, -M, -1)).is_nonnegative is False + assert Sum(m, (m, -M, -1)).is_finite is True + assert Product(m, (m, -M, -1)).is_positive is None + assert Product(m, (m, -M, -1)).is_nonpositive is None + assert Product(m, (m, -M, -1)).is_negative is None + assert Product(m, (m, -M, -1)).is_nonnegative is None + assert Product(m, (m, -M, -1)).is_finite is True + + m = Symbol('m', integer=True, nonpositive=True) + assert Sum(m, (m, -M, 0)).is_positive is False + assert Sum(m, (m, -M, 0)).is_nonpositive is True + assert Sum(m, (m, -M, 0)).is_negative is None + assert Sum(m, (m, -M, 0)).is_nonnegative is None + assert Sum(m, (m, -M, 0)).is_finite is True + assert Product(m, (m, -M, 0)).is_positive is None + assert Product(m, (m, -M, 0)).is_nonpositive is None + assert Product(m, (m, -M, 0)).is_negative is None + assert Product(m, (m, -M, 0)).is_nonnegative is None + assert Product(m, (m, -M, 0)).is_finite is True + + m = Symbol('m', integer=True) + assert Sum(2, (m, 0, oo)).is_positive is None + assert Sum(2, (m, 0, oo)).is_nonpositive is None + assert Sum(2, (m, 0, oo)).is_negative is None + assert Sum(2, (m, 0, oo)).is_nonnegative is None + assert Sum(2, (m, 0, oo)).is_finite is None + + assert Product(2, (m, 0, oo)).is_positive is None + assert Product(2, (m, 0, oo)).is_nonpositive is None + assert Product(2, (m, 0, oo)).is_negative is False + assert Product(2, (m, 0, oo)).is_nonnegative is None + assert Product(2, (m, 0, oo)).is_finite is None + + assert Product(0, (x, M, M-1)).is_positive is True + assert Product(0, (x, M, M-1)).is_finite is True + + +def test_expand_with_assumptions(): + M = Symbol('M', integer=True, positive=True) + x = Symbol('x', positive=True) + m = Symbol('m', nonnegative=True) + assert log(Product(x**m, (m, 0, M))).expand() == Sum(m*log(x), (m, 0, M)) + assert log(Product(exp(x**m), (m, 0, M))).expand() == Sum(x**m, (m, 0, M)) + assert log(Product(x**m, (m, 0, M))).rewrite(Sum).expand() == Sum(m*log(x), (m, 0, M)) + assert log(Product(exp(x**m), (m, 0, M))).rewrite(Sum).expand() == Sum(x**m, (m, 0, M)) + + n = Symbol('n', nonnegative=True) + i, j = symbols('i,j', positive=True, integer=True) + x, y = symbols('x,y', positive=True) + assert log(Product(x**i*y**j, (i, 1, n), (j, 1, m))).expand() \ + == Sum(i*log(x) + j*log(y), (i, 1, n), (j, 1, m)) + + m = Symbol('m', nonnegative=True, integer=True) + s = Sum(x**m, (m, 0, M)) + s_as_product = s.rewrite(Product) + assert s_as_product.has(Product) + assert s_as_product == log(Product(exp(x**m), (m, 0, M))) + assert s_as_product.expand() == s + s5 = s.subs(M, 5) + s5_as_product = s5.rewrite(Product) + assert s5_as_product.has(Product) + assert s5_as_product.doit().expand() == s5.doit() + + +def test_has_finite_limits(): + x = Symbol('x') + assert Sum(1, (x, 1, 9)).has_finite_limits is True + assert Sum(1, (x, 1, oo)).has_finite_limits is False + M = Symbol('M') + assert Sum(1, (x, 1, M)).has_finite_limits is None + M = Symbol('M', positive=True) + assert Sum(1, (x, 1, M)).has_finite_limits is True + x = Symbol('x', positive=True) + M = Symbol('M') + assert Sum(1, (x, 1, M)).has_finite_limits is True + + assert Sum(1, (x, 1, M), (y, -oo, oo)).has_finite_limits is False + +def test_has_reversed_limits(): + assert Sum(1, (x, 1, 1)).has_reversed_limits is False + assert Sum(1, (x, 1, 9)).has_reversed_limits is False + assert Sum(1, (x, 1, -9)).has_reversed_limits is True + assert Sum(1, (x, 1, 0)).has_reversed_limits is True + assert Sum(1, (x, 1, oo)).has_reversed_limits is False + M = Symbol('M') + assert Sum(1, (x, 1, M)).has_reversed_limits is None + M = Symbol('M', positive=True, integer=True) + assert Sum(1, (x, 1, M)).has_reversed_limits is False + assert Sum(1, (x, 1, M), (y, -oo, oo)).has_reversed_limits is False + M = Symbol('M', negative=True) + assert Sum(1, (x, 1, M)).has_reversed_limits is True + + assert Sum(1, (x, 1, M), (y, -oo, oo)).has_reversed_limits is True + assert Sum(1, (x, oo, oo)).has_reversed_limits is None + + +def test_has_empty_sequence(): + assert Sum(1, (x, 1, 1)).has_empty_sequence is False + assert Sum(1, (x, 1, 9)).has_empty_sequence is False + assert Sum(1, (x, 1, -9)).has_empty_sequence is False + assert Sum(1, (x, 1, 0)).has_empty_sequence is True + assert Sum(1, (x, y, y - 1)).has_empty_sequence is True + assert Sum(1, (x, 3, 2), (y, -oo, oo)).has_empty_sequence is True + assert Sum(1, (y, -oo, oo), (x, 3, 2)).has_empty_sequence is True + assert Sum(1, (x, oo, oo)).has_empty_sequence is False + + +def test_empty_sequence(): + assert Product(x*y, (x, -oo, oo), (y, 1, 0)).doit() == 1 + assert Product(x*y, (y, 1, 0), (x, -oo, oo)).doit() == 1 + assert Sum(x, (x, -oo, oo), (y, 1, 0)).doit() == 0 + assert Sum(x, (y, 1, 0), (x, -oo, oo)).doit() == 0 + + +def test_issue_8016(): + k = Symbol('k', integer=True) + n, m = symbols('n, m', integer=True, positive=True) + s = Sum(binomial(m, k)*binomial(m, n - k)*(-1)**k, (k, 0, n)) + assert s.doit().simplify() == \ + cos(pi*n/2)*gamma(m + 1)/gamma(n/2 + 1)/gamma(m - n/2 + 1) + + +def test_issue_14313(): + assert Sum(S.Half**floor(n/2), (n, 1, oo)).is_convergent() + + +def test_issue_14563(): + # The assertion was failing due to no assumptions methods in Sums and Product + assert 1 % Sum(1, (x, 0, 1)) == 1 + + +def test_issue_16735(): + assert Sum(5**n/gamma(n+1), (n, 1, oo)).is_convergent() is S.true + + +def test_issue_14871(): + assert Sum((Rational(1, 10))**n*rf(0, n)/factorial(n), (n, 0, oo)).rewrite(factorial).doit() == 1 + + +def test_issue_17165(): + n = symbols("n", integer=True) + x = symbols('x') + s = (x*Sum(x**n, (n, -1, oo))) + ssimp = s.doit().simplify() + + assert ssimp == Piecewise((-1/(x - 1), (x > -1) & (x < 1)), + (x*Sum(x**n, (n, -1, oo)), True)), ssimp + assert ssimp.simplify() == ssimp + + +def test_issue_19379(): + assert Sum(factorial(n)/factorial(n + 2), (n, 1, oo)).is_convergent() is S.true + + +def test_issue_20777(): + assert Sum(exp(x*sin(n/m)), (n, 1, m)).doit() == Sum(exp(x*sin(n/m)), (n, 1, m)) + + +def test__dummy_with_inherited_properties_concrete(): + x = Symbol('x') + + from sympy.core.containers import Tuple + d = _dummy_with_inherited_properties_concrete(Tuple(x, 0, 5)) + assert d.is_real + assert d.is_integer + assert d.is_nonnegative + assert d.is_extended_nonnegative + + d = _dummy_with_inherited_properties_concrete(Tuple(x, 1, 9)) + assert d.is_real + assert d.is_integer + assert d.is_positive + assert d.is_odd is None + + d = _dummy_with_inherited_properties_concrete(Tuple(x, -5, 5)) + assert d.is_real + assert d.is_integer + assert d.is_positive is None + assert d.is_extended_nonnegative is None + assert d.is_odd is None + + d = _dummy_with_inherited_properties_concrete(Tuple(x, -1.5, 1.5)) + assert d.is_real + assert d.is_integer is None + assert d.is_positive is None + assert d.is_extended_nonnegative is None + + N = Symbol('N', integer=True, positive=True) + d = _dummy_with_inherited_properties_concrete(Tuple(x, 2, N)) + assert d.is_real + assert d.is_positive + assert d.is_integer + + # Return None if no assumptions are added + N = Symbol('N', integer=True, positive=True) + d = _dummy_with_inherited_properties_concrete(Tuple(N, 2, 4)) + assert d is None + + x = Symbol('x', negative=True) + raises(InconsistentAssumptions, + lambda: _dummy_with_inherited_properties_concrete(Tuple(x, 1, 5))) + + +def test_matrixsymbol_summation_numerical_limits(): + A = MatrixSymbol('A', 3, 3) + n = Symbol('n', integer=True) + + assert Sum(A**n, (n, 0, 2)).doit() == Identity(3) + A + A**2 + assert Sum(A, (n, 0, 2)).doit() == 3*A + assert Sum(n*A, (n, 0, 2)).doit() == 3*A + + B = Matrix([[0, n, 0], [-1, 0, 0], [0, 0, 2]]) + ans = Matrix([[0, 6, 0], [-4, 0, 0], [0, 0, 8]]) + 4*A + assert Sum(A+B, (n, 0, 3)).doit() == ans + ans = A*Matrix([[0, 6, 0], [-4, 0, 0], [0, 0, 8]]) + assert Sum(A*B, (n, 0, 3)).doit() == ans + + ans = (A**2*Matrix([[-2, 0, 0], [0,-2, 0], [0, 0, 4]]) + + A**3*Matrix([[0, -9, 0], [3, 0, 0], [0, 0, 8]]) + + A*Matrix([[0, 1, 0], [-1, 0, 0], [0, 0, 2]])) + assert Sum(A**n*B**n, (n, 1, 3)).doit() == ans + + +def test_issue_21651(): + i = Symbol('i') + a = Sum(floor(2*2**(-i)), (i, S.One, 2)) + assert a.doit() == S.One + + +@XFAIL +def test_matrixsymbol_summation_symbolic_limits(): + N = Symbol('N', integer=True, positive=True) + + A = MatrixSymbol('A', 3, 3) + n = Symbol('n', integer=True) + assert Sum(A, (n, 0, N)).doit() == (N+1)*A + assert Sum(n*A, (n, 0, N)).doit() == (N**2/2+N/2)*A + + +def test_summation_by_residues(): + x = Symbol('x') + + # Examples from Nakhle H. Asmar, Loukas Grafakos, + # Complex Analysis with Applications + assert eval_sum_residue(1 / (x**2 + 1), (x, -oo, oo)) == pi/tanh(pi) + assert eval_sum_residue(1 / x**6, (x, S(1), oo)) == pi**6/945 + assert eval_sum_residue(1 / (x**2 + 9), (x, -oo, oo)) == pi/(3*tanh(3*pi)) + assert eval_sum_residue(1 / (x**2 + 1)**2, (x, -oo, oo)).cancel() == \ + (-pi**2*tanh(pi)**2 + pi*tanh(pi) + pi**2)/(2*tanh(pi)**2) + assert eval_sum_residue(x**2 / (x**2 + 1)**2, (x, -oo, oo)).cancel() == \ + (-pi**2 + pi*tanh(pi) + pi**2*tanh(pi)**2)/(2*tanh(pi)**2) + assert eval_sum_residue(1 / (4*x**2 - 1), (x, -oo, oo)) == 0 + assert eval_sum_residue(x**2 / (x**2 - S(1)/4)**2, (x, -oo, oo)) == pi**2/2 + assert eval_sum_residue(1 / (4*x**2 - 1)**2, (x, -oo, oo)) == pi**2/8 + assert eval_sum_residue(1 / ((x - S(1)/2)**2 + 1), (x, -oo, oo)) == pi*tanh(pi) + assert eval_sum_residue(1 / x**2, (x, S(1), oo)) == pi**2/6 + assert eval_sum_residue(1 / x**4, (x, S(1), oo)) == pi**4/90 + assert eval_sum_residue(1 / x**2 / (x**2 + 4), (x, S(1), oo)) == \ + -pi*(-pi/12 - 1/(16*pi) + 1/(8*tanh(2*pi)))/2 + + # Some examples made from 1 / (x**2 + 1) + assert eval_sum_residue(1 / (x**2 + 1), (x, S(0), oo)) == \ + S(1)/2 + pi/(2*tanh(pi)) + assert eval_sum_residue(1 / (x**2 + 1), (x, S(1), oo)) == \ + -S(1)/2 + pi/(2*tanh(pi)) + assert eval_sum_residue(1 / (x**2 + 1), (x, S(-1), oo)) == \ + 1 + pi/(2*tanh(pi)) + assert eval_sum_residue((-1)**x / (x**2 + 1), (x, -oo, oo)) == \ + pi/sinh(pi) + assert eval_sum_residue((-1)**x / (x**2 + 1), (x, S(0), oo)) == \ + pi/(2*sinh(pi)) + S(1)/2 + assert eval_sum_residue((-1)**x / (x**2 + 1), (x, S(1), oo)) == \ + -S(1)/2 + pi/(2*sinh(pi)) + assert eval_sum_residue((-1)**x / (x**2 + 1), (x, S(-1), oo)) == \ + pi/(2*sinh(pi)) + + # Some examples made from shifting of 1 / (x**2 + 1) + assert eval_sum_residue(1 / (x**2 + 2*x + 2), (x, S(-1), oo)) == S(1)/2 + pi/(2*tanh(pi)) + assert eval_sum_residue(1 / (x**2 + 4*x + 5), (x, S(-2), oo)) == S(1)/2 + pi/(2*tanh(pi)) + assert eval_sum_residue(1 / (x**2 - 2*x + 2), (x, S(1), oo)) == S(1)/2 + pi/(2*tanh(pi)) + assert eval_sum_residue(1 / (x**2 - 4*x + 5), (x, S(2), oo)) == S(1)/2 + pi/(2*tanh(pi)) + assert eval_sum_residue((-1)**x * -1 / (x**2 + 2*x + 2), (x, S(-1), oo)) == S(1)/2 + pi/(2*sinh(pi)) + assert eval_sum_residue((-1)**x * -1 / (x**2 -2*x + 2), (x, S(1), oo)) == S(1)/2 + pi/(2*sinh(pi)) + + # Some examples made from 1 / x**2 + assert eval_sum_residue(1 / x**2, (x, S(2), oo)) == -1 + pi**2/6 + assert eval_sum_residue(1 / x**2, (x, S(3), oo)) == -S(5)/4 + pi**2/6 + assert eval_sum_residue((-1)**x / x**2, (x, S(1), oo)) == -pi**2/12 + assert eval_sum_residue((-1)**x / x**2, (x, S(2), oo)) == 1 - pi**2/12 + + +@slow +def test_summation_by_residues_failing(): + x = Symbol('x') + + # Failing because of the bug in residue computation + assert eval_sum_residue(x**2 / (x**4 + 1), (x, S(1), oo)) + assert eval_sum_residue(1 / ((x - 1)*(x - 2) + 1), (x, -oo, oo)) != 0 + + +def test_process_limits(): + from sympy.concrete.expr_with_limits import _process_limits + + # these should be (x, Range(3)) not Range(3) + raises(ValueError, lambda: _process_limits( + Range(3), discrete=True)) + raises(ValueError, lambda: _process_limits( + Range(3), discrete=False)) + # these should be (x, union) not union + # (but then we would get a TypeError because we don't + # handle non-contiguous sets: see below use of `union`) + union = Or(x < 1, x > 3).as_set() + raises(ValueError, lambda: _process_limits( + union, discrete=True)) + raises(ValueError, lambda: _process_limits( + union, discrete=False)) + + # error not triggered if not needed + assert _process_limits((x, 1, 2)) == ([(x, 1, 2)], 1) + + # this equivalence is used to detect Reals in _process_limits + assert isinstance(S.Reals, Interval) + + C = Integral # continuous limits + assert C(x, x >= 5) == C(x, (x, 5, oo)) + assert C(x, x < 3) == C(x, (x, -oo, 3)) + ans = C(x, (x, 0, 3)) + assert C(x, And(x >= 0, x < 3)) == ans + assert C(x, (x, Interval.Ropen(0, 3))) == ans + raises(TypeError, lambda: C(x, (x, Range(3)))) + + # discrete limits + for D in (Sum, Product): + r, ans = Range(3, 10, 2), D(2*x + 3, (x, 0, 3)) + assert D(x, (x, r)) == ans + assert D(x, (x, r.reversed)) == ans + r, ans = Range(3, oo, 2), D(2*x + 3, (x, 0, oo)) + assert D(x, (x, r)) == ans + assert D(x, (x, r.reversed)) == ans + r, ans = Range(-oo, 5, 2), D(3 - 2*x, (x, 0, oo)) + assert D(x, (x, r)) == ans + assert D(x, (x, r.reversed)) == ans + raises(TypeError, lambda: D(x, x > 0)) + raises(ValueError, lambda: D(x, Interval(1, 3))) + raises(NotImplementedError, lambda: D(x, (x, union))) + + +def test_pr_22677(): + b = Symbol('b', integer=True, positive=True) + assert Sum(1/x**2,(x, 0, b)).doit() == Sum(x**(-2), (x, 0, b)) + assert Sum(1/(x - b)**2,(x, 0, b-1)).doit() == Sum( + (-b + x)**(-2), (x, 0, b - 1)) + + +def test_issue_23952(): + p, q = symbols("p q", real=True, nonnegative=True) + k1, k2 = symbols("k1 k2", integer=True, nonnegative=True) + n 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b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/benchmarks/bench_arit.py new file mode 100644 index 0000000000000000000000000000000000000000..39860943b763a30cf4f91578dbac37dc7e6e444e --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/benchmarks/bench_arit.py @@ -0,0 +1,43 @@ +from sympy.core import Add, Mul, symbols + +x, y, z = symbols('x,y,z') + + +def timeit_neg(): + -x + + +def timeit_Add_x1(): + x + 1 + + +def timeit_Add_1x(): + 1 + x + + +def timeit_Add_x05(): + x + 0.5 + + +def timeit_Add_xy(): + x + y + + +def timeit_Add_xyz(): + Add(*[x, y, z]) + + +def timeit_Mul_xy(): + x*y + + +def timeit_Mul_xyz(): + Mul(*[x, y, z]) + + +def timeit_Div_xy(): + x/y + + +def timeit_Div_2y(): + 2/y diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/core/benchmarks/bench_assumptions.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/benchmarks/bench_assumptions.py new file mode 100644 index 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timeit_Symbol_eq_xy(): + x == y diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/core/benchmarks/bench_expand.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/benchmarks/bench_expand.py new file mode 100644 index 0000000000000000000000000000000000000000..4f5ac513e368cb7e9b542926bc25a5695de6d914 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/benchmarks/bench_expand.py @@ -0,0 +1,23 @@ +from sympy.core import symbols, I + +x, y, z = symbols('x,y,z') + +p = 3*x**2*y*z**7 + 7*x*y*z**2 + 4*x + x*y**4 +e = (x + y + z + 1)**32 + + +def timeit_expand_nothing_todo(): + p.expand() + + +def bench_expand_32(): + """(x+y+z+1)**32 -> expand""" + e.expand() + + +def timeit_expand_complex_number_1(): + ((2 + 3*I)**1000).expand(complex=True) + + +def timeit_expand_complex_number_2(): + ((2 + 3*I/4)**1000).expand(complex=True) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/core/benchmarks/bench_numbers.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/benchmarks/bench_numbers.py new file mode 100644 index 0000000000000000000000000000000000000000..5c7484c389232b3622fb4b6724e4ab8534dde382 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/benchmarks/bench_numbers.py @@ -0,0 +1,92 @@ +from sympy.core.numbers import Integer, Rational, pi, oo +from sympy.core.intfunc import integer_nthroot, igcd +from sympy.core.singleton import S + +i3 = Integer(3) +i4 = Integer(4) +r34 = Rational(3, 4) +q45 = Rational(4, 5) + + +def timeit_Integer_create(): + Integer(2) + + +def timeit_Integer_int(): + int(i3) + + +def timeit_neg_one(): + -S.One + + +def timeit_Integer_neg(): + -i3 + + +def timeit_Integer_abs(): + abs(i3) + + +def timeit_Integer_sub(): + i3 - i3 + + +def timeit_abs_pi(): + abs(pi) + + +def timeit_neg_oo(): + -oo + + +def timeit_Integer_add_i1(): + i3 + 1 + + +def timeit_Integer_add_ij(): + i3 + i4 + + +def timeit_Integer_add_Rational(): + i3 + r34 + + +def timeit_Integer_mul_i4(): + i3*4 + + +def timeit_Integer_mul_ij(): + i3*i4 + + +def timeit_Integer_mul_Rational(): + i3*r34 + + +def timeit_Integer_eq_i3(): + i3 == 3 + + +def timeit_Integer_ed_Rational(): + i3 == r34 + + +def timeit_integer_nthroot(): + integer_nthroot(100, 2) + + +def timeit_number_igcd_23_17(): + igcd(23, 17) + + +def timeit_number_igcd_60_3600(): + igcd(60, 3600) + + +def timeit_Rational_add_r1(): + r34 + 1 + + +def timeit_Rational_add_rq(): + r34 + q45 diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/core/benchmarks/bench_sympify.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/benchmarks/bench_sympify.py new file mode 100644 index 0000000000000000000000000000000000000000..d8cc0abc1e35439a1a495454abf87769d5b40d04 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/benchmarks/bench_sympify.py @@ -0,0 +1,11 @@ +from sympy.core import sympify, Symbol + +x = Symbol('x') + + +def timeit_sympify_1(): + 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elements of cls.args are instances of Basic. """ + +# NOTE: keep tests sorted by (module, class name) key. If a class can't +# be instantiated, add it here anyway with @SKIP("abstract class) (see +# e.g. Function). + +import os +import re +from pathlib import Path + +from sympy.assumptions.ask import Q +from sympy.core.basic import Basic +from sympy.core.function import (Function, Lambda) +from sympy.core.numbers import (Rational, oo, pi) +from sympy.core.relational import Eq +from sympy.core.singleton import S +from sympy.core.symbol import symbols +from sympy.functions.elementary.exponential import (exp, log) +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.trigonometric import sin + +from sympy.testing.pytest import SKIP, warns_deprecated_sympy + +a, b, c, x, y, z, s = symbols('a,b,c,x,y,z,s') + + +whitelist = [ + "sympy.assumptions.predicates", # tested by test_predicates() + "sympy.assumptions.relation.equality", # tested by test_predicates() +] + +def test_all_classes_are_tested(): + this = os.path.split(__file__)[0] + path = os.path.join(this, os.pardir, os.pardir) + sympy_path = os.path.abspath(path) + prefix = os.path.split(sympy_path)[0] + os.sep + + re_cls = re.compile(r"^class ([A-Za-z][A-Za-z0-9_]*)\s*\(", re.MULTILINE) + + modules = {} + + for root, dirs, files in os.walk(sympy_path): + module = root.replace(prefix, "").replace(os.sep, ".") + + for file in files: + if file.startswith(("_", "test_", "bench_")): + continue + if not file.endswith(".py"): + continue + + text = Path(os.path.join(root, file)).read_text(encoding='utf-8') + + submodule = module + '.' + file[:-3] + + if any(submodule.startswith(wpath) for wpath in whitelist): + continue + + names = re_cls.findall(text) + + if not names: + continue + + try: + mod = __import__(submodule, fromlist=names) + except ImportError: + continue + + def is_Basic(name): + cls = getattr(mod, name) + if hasattr(cls, '_sympy_deprecated_func'): + cls = cls._sympy_deprecated_func + if not isinstance(cls, type): + # check instance of singleton class with same name + cls = type(cls) + return issubclass(cls, Basic) + + names = list(filter(is_Basic, names)) + + if names: + modules[submodule] = names + + ns = globals() + failed = [] + + for module, names in modules.items(): + mod = module.replace('.', '__') + + for name in names: + test = 'test_' + mod + '__' + name + + if test not in ns: + failed.append(module + '.' + name) + + assert not failed, "Missing classes: %s. Please add tests for these to sympy/core/tests/test_args.py." % ", ".join(failed) + + +def _test_args(obj): + all_basic = all(isinstance(arg, Basic) for arg in obj.args) + # Ideally obj.func(*obj.args) would always recreate the object, but for + # now, we only require it for objects with non-empty .args + recreatable = not obj.args or obj.func(*obj.args) == obj + return all_basic and recreatable + + +def test_sympy__algebras__quaternion__Quaternion(): + from sympy.algebras.quaternion import Quaternion + assert _test_args(Quaternion(x, 1, 2, 3)) + + +def test_sympy__assumptions__assume__AppliedPredicate(): + from sympy.assumptions.assume import AppliedPredicate, Predicate + assert _test_args(AppliedPredicate(Predicate("test"), 2)) + assert _test_args(Q.is_true(True)) + +@SKIP("abstract class") +def test_sympy__assumptions__assume__Predicate(): + pass + +def test_predicates(): + predicates = [ + getattr(Q, attr) + for attr in Q.__class__.__dict__ + if not attr.startswith('__')] + for p in predicates: + assert _test_args(p) + +def test_sympy__assumptions__assume__UndefinedPredicate(): + from sympy.assumptions.assume import Predicate + assert _test_args(Predicate("test")) + +@SKIP('abstract class') +def test_sympy__assumptions__relation__binrel__BinaryRelation(): + pass + +def test_sympy__assumptions__relation__binrel__AppliedBinaryRelation(): + assert _test_args(Q.eq(1, 2)) + +def test_sympy__assumptions__wrapper__AssumptionsWrapper(): + from sympy.assumptions.wrapper import AssumptionsWrapper + assert _test_args(AssumptionsWrapper(x, Q.positive(x))) + +@SKIP("abstract Class") +def test_sympy__codegen__ast__CodegenAST(): + from sympy.codegen.ast import CodegenAST + assert _test_args(CodegenAST()) + +@SKIP("abstract Class") +def test_sympy__codegen__ast__AssignmentBase(): + from sympy.codegen.ast import AssignmentBase + assert _test_args(AssignmentBase(x, 1)) + +@SKIP("abstract Class") +def test_sympy__codegen__ast__AugmentedAssignment(): + from sympy.codegen.ast import AugmentedAssignment + assert _test_args(AugmentedAssignment(x, 1)) + +def test_sympy__codegen__ast__AddAugmentedAssignment(): + from sympy.codegen.ast import AddAugmentedAssignment + assert _test_args(AddAugmentedAssignment(x, 1)) + +def test_sympy__codegen__ast__SubAugmentedAssignment(): + from sympy.codegen.ast import SubAugmentedAssignment + assert _test_args(SubAugmentedAssignment(x, 1)) + +def test_sympy__codegen__ast__MulAugmentedAssignment(): + from sympy.codegen.ast import MulAugmentedAssignment + assert _test_args(MulAugmentedAssignment(x, 1)) + +def test_sympy__codegen__ast__DivAugmentedAssignment(): + from sympy.codegen.ast import DivAugmentedAssignment + assert _test_args(DivAugmentedAssignment(x, 1)) + +def test_sympy__codegen__ast__ModAugmentedAssignment(): + from sympy.codegen.ast import ModAugmentedAssignment + assert _test_args(ModAugmentedAssignment(x, 1)) + +def test_sympy__codegen__ast__CodeBlock(): + from sympy.codegen.ast import CodeBlock, Assignment + assert _test_args(CodeBlock(Assignment(x, 1), Assignment(y, 2))) + +def test_sympy__codegen__ast__For(): + from sympy.codegen.ast import For, CodeBlock, AddAugmentedAssignment + from sympy.sets import Range + assert _test_args(For(x, Range(10), CodeBlock(AddAugmentedAssignment(y, 1)))) + + +def test_sympy__codegen__ast__Token(): + from sympy.codegen.ast import Token + assert _test_args(Token()) + + +def test_sympy__codegen__ast__ContinueToken(): + from sympy.codegen.ast import ContinueToken + assert _test_args(ContinueToken()) + +def test_sympy__codegen__ast__BreakToken(): + from sympy.codegen.ast import BreakToken + assert _test_args(BreakToken()) + +def test_sympy__codegen__ast__NoneToken(): + from sympy.codegen.ast import NoneToken + assert _test_args(NoneToken()) + +def test_sympy__codegen__ast__String(): + from sympy.codegen.ast import String + assert _test_args(String('foobar')) + +def test_sympy__codegen__ast__QuotedString(): + from sympy.codegen.ast import QuotedString + assert _test_args(QuotedString('foobar')) + +def test_sympy__codegen__ast__Comment(): + from sympy.codegen.ast import Comment + assert _test_args(Comment('this is a comment')) + +def test_sympy__codegen__ast__Node(): + from sympy.codegen.ast import Node + assert _test_args(Node()) + assert _test_args(Node(attrs={1, 2, 3})) + + +def test_sympy__codegen__ast__Type(): + from sympy.codegen.ast import Type + assert _test_args(Type('float128')) + + +def test_sympy__codegen__ast__IntBaseType(): + from sympy.codegen.ast import IntBaseType + assert _test_args(IntBaseType('bigint')) + + +def test_sympy__codegen__ast___SizedIntType(): + from sympy.codegen.ast import _SizedIntType + assert _test_args(_SizedIntType('int128', 128)) + + +def test_sympy__codegen__ast__SignedIntType(): + from sympy.codegen.ast import SignedIntType + assert _test_args(SignedIntType('int128_with_sign', 128)) + + +def test_sympy__codegen__ast__UnsignedIntType(): + from sympy.codegen.ast import UnsignedIntType + assert _test_args(UnsignedIntType('unt128', 128)) + + +def test_sympy__codegen__ast__FloatBaseType(): + from sympy.codegen.ast import FloatBaseType + assert _test_args(FloatBaseType('positive_real')) + + +def test_sympy__codegen__ast__FloatType(): + from sympy.codegen.ast import FloatType + assert _test_args(FloatType('float242', 242, nmant=142, nexp=99)) + + +def test_sympy__codegen__ast__ComplexBaseType(): + from sympy.codegen.ast import ComplexBaseType + assert _test_args(ComplexBaseType('positive_cmplx')) + +def test_sympy__codegen__ast__ComplexType(): + from sympy.codegen.ast import ComplexType + assert _test_args(ComplexType('complex42', 42, nmant=15, nexp=5)) + + +def test_sympy__codegen__ast__Attribute(): + from sympy.codegen.ast import Attribute + assert _test_args(Attribute('noexcept')) + + +def test_sympy__codegen__ast__Variable(): + from sympy.codegen.ast import Variable, Type, value_const + assert _test_args(Variable(x)) + assert _test_args(Variable(y, Type('float32'), {value_const})) + assert _test_args(Variable(z, type=Type('float64'))) + + +def test_sympy__codegen__ast__Pointer(): + from sympy.codegen.ast import Pointer, Type, pointer_const + assert _test_args(Pointer(x)) + assert _test_args(Pointer(y, type=Type('float32'))) + assert _test_args(Pointer(z, Type('float64'), {pointer_const})) + + +def test_sympy__codegen__ast__Declaration(): + from sympy.codegen.ast import Declaration, Variable, Type + vx = Variable(x, type=Type('float')) + assert _test_args(Declaration(vx)) + + +def test_sympy__codegen__ast__While(): + from sympy.codegen.ast import While, AddAugmentedAssignment + assert _test_args(While(abs(x) < 1, [AddAugmentedAssignment(x, -1)])) + + +def test_sympy__codegen__ast__Scope(): + from sympy.codegen.ast import Scope, AddAugmentedAssignment + assert _test_args(Scope([AddAugmentedAssignment(x, -1)])) + + +def test_sympy__codegen__ast__Stream(): + from sympy.codegen.ast import Stream + assert _test_args(Stream('stdin')) + +def test_sympy__codegen__ast__Print(): + from sympy.codegen.ast import Print + assert _test_args(Print([x, y])) + assert _test_args(Print([x, y], "%d %d")) + + +def test_sympy__codegen__ast__FunctionPrototype(): + from sympy.codegen.ast import FunctionPrototype, real, Declaration, Variable + inp_x = Declaration(Variable(x, type=real)) + assert _test_args(FunctionPrototype(real, 'pwer', [inp_x])) + + +def test_sympy__codegen__ast__FunctionDefinition(): + from sympy.codegen.ast import FunctionDefinition, real, Declaration, Variable, Assignment + inp_x = Declaration(Variable(x, type=real)) + assert _test_args(FunctionDefinition(real, 'pwer', [inp_x], [Assignment(x, x**2)])) + + +def test_sympy__codegen__ast__Raise(): + from sympy.codegen.ast import Raise + assert _test_args(Raise(x)) + + +def test_sympy__codegen__ast__Return(): + from sympy.codegen.ast import Return + assert _test_args(Return(x)) + + +def test_sympy__codegen__ast__RuntimeError_(): + from sympy.codegen.ast import RuntimeError_ + assert _test_args(RuntimeError_('"message"')) + + +def test_sympy__codegen__ast__FunctionCall(): + from sympy.codegen.ast import FunctionCall + assert _test_args(FunctionCall('pwer', [x])) + + +def test_sympy__codegen__ast__Element(): + from sympy.codegen.ast import Element + assert _test_args(Element('x', range(3))) + + +def test_sympy__codegen__cnodes__CommaOperator(): + from sympy.codegen.cnodes import CommaOperator + assert _test_args(CommaOperator(1, 2)) + + +def test_sympy__codegen__cnodes__goto(): + from sympy.codegen.cnodes import goto + assert _test_args(goto('early_exit')) + + +def test_sympy__codegen__cnodes__Label(): + from sympy.codegen.cnodes import Label + assert _test_args(Label('early_exit')) + + +def test_sympy__codegen__cnodes__PreDecrement(): + from sympy.codegen.cnodes import PreDecrement + assert _test_args(PreDecrement(x)) + + +def test_sympy__codegen__cnodes__PostDecrement(): + from sympy.codegen.cnodes import PostDecrement + assert _test_args(PostDecrement(x)) + + +def test_sympy__codegen__cnodes__PreIncrement(): + from sympy.codegen.cnodes import PreIncrement + assert _test_args(PreIncrement(x)) + + +def test_sympy__codegen__cnodes__PostIncrement(): + from sympy.codegen.cnodes import PostIncrement + assert _test_args(PostIncrement(x)) + + +def test_sympy__codegen__cnodes__struct(): + from sympy.codegen.ast import real, Variable + from sympy.codegen.cnodes import struct + assert _test_args(struct(declarations=[ + Variable(x, type=real), + Variable(y, type=real) + ])) + + +def test_sympy__codegen__cnodes__union(): + from sympy.codegen.ast import float32, int32, Variable + from sympy.codegen.cnodes import union + assert _test_args(union(declarations=[ + Variable(x, type=float32), + Variable(y, type=int32) + ])) + + +def test_sympy__codegen__cxxnodes__using(): + from sympy.codegen.cxxnodes import using + assert _test_args(using('std::vector')) + assert _test_args(using('std::vector', 'vec')) + + +def test_sympy__codegen__fnodes__Program(): + from sympy.codegen.fnodes import Program + assert _test_args(Program('foobar', [])) + +def test_sympy__codegen__fnodes__Module(): + from sympy.codegen.fnodes import Module + assert _test_args(Module('foobar', [], [])) + + +def test_sympy__codegen__fnodes__Subroutine(): + from sympy.codegen.fnodes import Subroutine + x = symbols('x', real=True) + assert _test_args(Subroutine('foo', [x], [])) + + +def test_sympy__codegen__fnodes__GoTo(): + from sympy.codegen.fnodes import GoTo + assert _test_args(GoTo([10])) + assert _test_args(GoTo([10, 20], x > 1)) + + +def test_sympy__codegen__fnodes__FortranReturn(): + from sympy.codegen.fnodes import FortranReturn + assert _test_args(FortranReturn(10)) + + +def test_sympy__codegen__fnodes__Extent(): + from sympy.codegen.fnodes import Extent + assert _test_args(Extent()) + assert _test_args(Extent(None)) + assert _test_args(Extent(':')) + assert _test_args(Extent(-3, 4)) + assert _test_args(Extent(x, y)) + + +def test_sympy__codegen__fnodes__use_rename(): + from sympy.codegen.fnodes import use_rename + assert _test_args(use_rename('loc', 'glob')) + + +def test_sympy__codegen__fnodes__use(): + from sympy.codegen.fnodes import use + assert _test_args(use('modfoo', only='bar')) + + +def test_sympy__codegen__fnodes__SubroutineCall(): + from sympy.codegen.fnodes import SubroutineCall + assert _test_args(SubroutineCall('foo', ['bar', 'baz'])) + + +def test_sympy__codegen__fnodes__Do(): + from sympy.codegen.fnodes import Do + assert _test_args(Do([], 'i', 1, 42)) + + +def test_sympy__codegen__fnodes__ImpliedDoLoop(): + from sympy.codegen.fnodes import ImpliedDoLoop + assert _test_args(ImpliedDoLoop('i', 'i', 1, 42)) + + +def test_sympy__codegen__fnodes__ArrayConstructor(): + from sympy.codegen.fnodes import ArrayConstructor + assert _test_args(ArrayConstructor([1, 2, 3])) + from sympy.codegen.fnodes import ImpliedDoLoop + idl = ImpliedDoLoop('i', 'i', 1, 42) + assert _test_args(ArrayConstructor([1, idl, 3])) + + +def test_sympy__codegen__fnodes__sum_(): + from sympy.codegen.fnodes import sum_ + assert _test_args(sum_('arr')) + + +def test_sympy__codegen__fnodes__product_(): + from sympy.codegen.fnodes import product_ + assert _test_args(product_('arr')) + + +def test_sympy__codegen__numpy_nodes__logaddexp(): + from sympy.codegen.numpy_nodes import logaddexp + assert _test_args(logaddexp(x, y)) + + +def test_sympy__codegen__numpy_nodes__logaddexp2(): + from sympy.codegen.numpy_nodes import logaddexp2 + assert _test_args(logaddexp2(x, y)) + + +def test_sympy__codegen__numpy_nodes__amin(): + from sympy.codegen.numpy_nodes import amin + assert _test_args(amin(x)) + + +def test_sympy__codegen__numpy_nodes__amax(): + from sympy.codegen.numpy_nodes import amax + assert _test_args(amax(x)) + + +def test_sympy__codegen__numpy_nodes__minimum(): + from sympy.codegen.numpy_nodes import minimum + assert _test_args(minimum(x, y, z)) + + +def test_sympy__codegen__numpy_nodes__maximum(): + from sympy.codegen.numpy_nodes import maximum + assert _test_args(maximum(x, y, z)) + + +def test_sympy__codegen__pynodes__List(): + from sympy.codegen.pynodes import List + assert _test_args(List(1, 2, 3)) + + +def test_sympy__codegen__pynodes__NumExprEvaluate(): + from sympy.codegen.pynodes import NumExprEvaluate + assert _test_args(NumExprEvaluate(x)) + + +def test_sympy__codegen__scipy_nodes__cosm1(): + from sympy.codegen.scipy_nodes import cosm1 + assert _test_args(cosm1(x)) + + +def test_sympy__codegen__scipy_nodes__powm1(): + from sympy.codegen.scipy_nodes import powm1 + assert _test_args(powm1(x, y)) + + +def test_sympy__codegen__abstract_nodes__List(): + from sympy.codegen.abstract_nodes import List + assert _test_args(List(1, 2, 3)) + +def test_sympy__combinatorics__graycode__GrayCode(): + from sympy.combinatorics.graycode import GrayCode + # an integer is given and returned from GrayCode as the arg + assert _test_args(GrayCode(3, start='100')) + assert _test_args(GrayCode(3, rank=1)) + + +def test_sympy__combinatorics__permutations__Permutation(): + from sympy.combinatorics.permutations import Permutation + assert _test_args(Permutation([0, 1, 2, 3])) + +def test_sympy__combinatorics__permutations__AppliedPermutation(): + from sympy.combinatorics.permutations import Permutation + from sympy.combinatorics.permutations import AppliedPermutation + p = Permutation([0, 1, 2, 3]) + assert _test_args(AppliedPermutation(p, x)) + +def test_sympy__combinatorics__perm_groups__PermutationGroup(): + from sympy.combinatorics.permutations import Permutation + from sympy.combinatorics.perm_groups import PermutationGroup + assert _test_args(PermutationGroup([Permutation([0, 1])])) + + +def test_sympy__combinatorics__polyhedron__Polyhedron(): + from sympy.combinatorics.permutations import Permutation + from sympy.combinatorics.polyhedron import Polyhedron + from sympy.abc import w, x, y, z + pgroup = [Permutation([[0, 1, 2], [3]]), + Permutation([[0, 1, 3], [2]]), + Permutation([[0, 2, 3], [1]]), + Permutation([[1, 2, 3], [0]]), + Permutation([[0, 1], [2, 3]]), + Permutation([[0, 2], [1, 3]]), + Permutation([[0, 3], [1, 2]]), + Permutation([[0, 1, 2, 3]])] + corners = [w, x, y, z] + faces = [(w, x, y), (w, y, z), (w, z, x), (x, y, z)] + assert _test_args(Polyhedron(corners, faces, pgroup)) + + +def test_sympy__combinatorics__prufer__Prufer(): + from sympy.combinatorics.prufer import Prufer + assert _test_args(Prufer([[0, 1], [0, 2], [0, 3]], 4)) + + +def test_sympy__combinatorics__partitions__Partition(): + from sympy.combinatorics.partitions import Partition + assert _test_args(Partition([1])) + + +def test_sympy__combinatorics__partitions__IntegerPartition(): + from sympy.combinatorics.partitions import IntegerPartition + assert _test_args(IntegerPartition([1])) + + +def test_sympy__concrete__products__Product(): + from sympy.concrete.products import Product + assert _test_args(Product(x, (x, 0, 10))) + assert _test_args(Product(x, (x, 0, y), (y, 0, 10))) + + +@SKIP("abstract Class") +def test_sympy__concrete__expr_with_limits__ExprWithLimits(): + from sympy.concrete.expr_with_limits import ExprWithLimits + assert _test_args(ExprWithLimits(x, (x, 0, 10))) + assert _test_args(ExprWithLimits(x*y, (x, 0, 10.),(y,1.,3))) + + +@SKIP("abstract Class") +def test_sympy__concrete__expr_with_limits__AddWithLimits(): + from sympy.concrete.expr_with_limits import AddWithLimits + assert _test_args(AddWithLimits(x, (x, 0, 10))) + assert _test_args(AddWithLimits(x*y, (x, 0, 10),(y,1,3))) + + +@SKIP("abstract Class") +def test_sympy__concrete__expr_with_intlimits__ExprWithIntLimits(): + from sympy.concrete.expr_with_intlimits import ExprWithIntLimits + assert _test_args(ExprWithIntLimits(x, (x, 0, 10))) + assert _test_args(ExprWithIntLimits(x*y, (x, 0, 10),(y,1,3))) + + +def test_sympy__concrete__summations__Sum(): + from sympy.concrete.summations import Sum + assert _test_args(Sum(x, (x, 0, 10))) + assert _test_args(Sum(x, (x, 0, y), (y, 0, 10))) + + +def test_sympy__core__add__Add(): + from sympy.core.add import Add + assert _test_args(Add(x, y, z, 2)) + + +def test_sympy__core__basic__Atom(): + from sympy.core.basic import Atom + assert _test_args(Atom()) + + +def test_sympy__core__basic__Basic(): + from sympy.core.basic import Basic + assert _test_args(Basic()) + + +def test_sympy__core__containers__Dict(): + from sympy.core.containers import Dict + assert _test_args(Dict({x: y, y: z})) + + +def test_sympy__core__containers__Tuple(): + from sympy.core.containers import Tuple + assert _test_args(Tuple(x, y, z, 2)) + + +def test_sympy__core__expr__AtomicExpr(): + from sympy.core.expr import AtomicExpr + assert _test_args(AtomicExpr()) + + +def test_sympy__core__expr__Expr(): + from sympy.core.expr import Expr + assert _test_args(Expr()) + + +def test_sympy__core__expr__UnevaluatedExpr(): + from sympy.core.expr import UnevaluatedExpr + from sympy.abc import x + assert _test_args(UnevaluatedExpr(x)) + + +def test_sympy__core__function__Application(): + from sympy.core.function import Application + assert _test_args(Application(1, 2, 3)) + + +def test_sympy__core__function__AppliedUndef(): + from sympy.core.function import AppliedUndef + assert _test_args(AppliedUndef(1, 2, 3)) + + +def test_sympy__core__function__DefinedFunction(): + from sympy.core.function import DefinedFunction + assert _test_args(DefinedFunction(1, 2, 3)) + + +def test_sympy__core__function__Derivative(): + from sympy.core.function import Derivative + assert _test_args(Derivative(2, x, y, 3)) + + +@SKIP("abstract class") +def test_sympy__core__function__Function(): + pass + + +def test_sympy__core__function__Lambda(): + assert _test_args(Lambda((x, y), x + y + z)) + + +def test_sympy__core__function__Subs(): + from sympy.core.function import Subs + assert _test_args(Subs(x + y, x, 2)) + + +def test_sympy__core__function__WildFunction(): + from sympy.core.function import WildFunction + assert _test_args(WildFunction('f')) + + +def test_sympy__core__mod__Mod(): + from sympy.core.mod import Mod + assert _test_args(Mod(x, 2)) + + +def test_sympy__core__mul__Mul(): + from sympy.core.mul import Mul + assert _test_args(Mul(2, x, y, z)) + + +def test_sympy__core__numbers__Catalan(): + from sympy.core.numbers import Catalan + assert _test_args(Catalan()) + + +def test_sympy__core__numbers__ComplexInfinity(): + from sympy.core.numbers import ComplexInfinity + assert _test_args(ComplexInfinity()) + + +def test_sympy__core__numbers__EulerGamma(): + from sympy.core.numbers import EulerGamma + assert _test_args(EulerGamma()) + + +def test_sympy__core__numbers__Exp1(): + from sympy.core.numbers import Exp1 + assert _test_args(Exp1()) + + +def test_sympy__core__numbers__Float(): + from sympy.core.numbers import Float + assert _test_args(Float(1.23)) + + +def test_sympy__core__numbers__GoldenRatio(): + from sympy.core.numbers import GoldenRatio + assert _test_args(GoldenRatio()) + + +def test_sympy__core__numbers__TribonacciConstant(): + from sympy.core.numbers import TribonacciConstant + assert _test_args(TribonacciConstant()) + + +def test_sympy__core__numbers__Half(): + from sympy.core.numbers import Half + assert _test_args(Half()) + + +def test_sympy__core__numbers__ImaginaryUnit(): + from sympy.core.numbers import ImaginaryUnit + assert _test_args(ImaginaryUnit()) + + +def test_sympy__core__numbers__Infinity(): + from sympy.core.numbers import Infinity + assert _test_args(Infinity()) + + +def test_sympy__core__numbers__Integer(): + from sympy.core.numbers import Integer + assert _test_args(Integer(7)) + + +@SKIP("abstract class") +def test_sympy__core__numbers__IntegerConstant(): + pass + + +def test_sympy__core__numbers__NaN(): + from sympy.core.numbers import NaN + assert _test_args(NaN()) + + +def test_sympy__core__numbers__NegativeInfinity(): + from sympy.core.numbers import NegativeInfinity + assert _test_args(NegativeInfinity()) + + +def test_sympy__core__numbers__NegativeOne(): + from sympy.core.numbers import NegativeOne + assert _test_args(NegativeOne()) + + +def test_sympy__core__numbers__Number(): + from sympy.core.numbers import Number + assert _test_args(Number(1, 7)) + + +def test_sympy__core__numbers__NumberSymbol(): + from sympy.core.numbers import NumberSymbol + assert _test_args(NumberSymbol()) + + +def test_sympy__core__numbers__One(): + from sympy.core.numbers import One + assert _test_args(One()) + + +def test_sympy__core__numbers__Pi(): + from sympy.core.numbers import Pi + assert _test_args(Pi()) + + +def test_sympy__core__numbers__Rational(): + from sympy.core.numbers import Rational + assert _test_args(Rational(1, 7)) + + +@SKIP("abstract class") +def test_sympy__core__numbers__RationalConstant(): + pass + + +def test_sympy__core__numbers__Zero(): + from sympy.core.numbers import Zero + assert _test_args(Zero()) + + +@SKIP("abstract class") +def test_sympy__core__operations__AssocOp(): + pass + + +@SKIP("abstract class") +def test_sympy__core__operations__LatticeOp(): + pass + + +def test_sympy__core__power__Pow(): + from sympy.core.power import Pow + assert _test_args(Pow(x, 2)) + + +def test_sympy__core__relational__Equality(): + from sympy.core.relational import Equality + assert _test_args(Equality(x, 2)) + + +def test_sympy__core__relational__GreaterThan(): + from sympy.core.relational import GreaterThan + assert _test_args(GreaterThan(x, 2)) + + +def test_sympy__core__relational__LessThan(): + from sympy.core.relational import LessThan + assert _test_args(LessThan(x, 2)) + + +@SKIP("abstract class") +def test_sympy__core__relational__Relational(): + pass + + +def test_sympy__core__relational__StrictGreaterThan(): + from sympy.core.relational import StrictGreaterThan + assert _test_args(StrictGreaterThan(x, 2)) + + +def test_sympy__core__relational__StrictLessThan(): + from sympy.core.relational import StrictLessThan + assert _test_args(StrictLessThan(x, 2)) + + +def test_sympy__core__relational__Unequality(): + from sympy.core.relational import Unequality + assert _test_args(Unequality(x, 2)) + + +def test_sympy__sandbox__indexed_integrals__IndexedIntegral(): + from sympy.tensor import IndexedBase, Idx + from sympy.sandbox.indexed_integrals import IndexedIntegral + A = IndexedBase('A') + i, j = symbols('i j', integer=True) + a1, a2 = symbols('a1:3', cls=Idx) + assert _test_args(IndexedIntegral(A[a1], A[a2])) + assert _test_args(IndexedIntegral(A[i], A[j])) + + +def test_sympy__calculus__accumulationbounds__AccumulationBounds(): + from sympy.calculus.accumulationbounds import AccumulationBounds + assert _test_args(AccumulationBounds(0, 1)) + + +def test_sympy__sets__ordinals__OmegaPower(): + from sympy.sets.ordinals import OmegaPower + assert _test_args(OmegaPower(1, 1)) + +def test_sympy__sets__ordinals__Ordinal(): + from sympy.sets.ordinals import Ordinal, OmegaPower + assert _test_args(Ordinal(OmegaPower(2, 1))) + +def test_sympy__sets__ordinals__OrdinalOmega(): + from sympy.sets.ordinals import OrdinalOmega + assert _test_args(OrdinalOmega()) + +def test_sympy__sets__ordinals__OrdinalZero(): + from sympy.sets.ordinals import OrdinalZero + assert _test_args(OrdinalZero()) + + +def test_sympy__sets__powerset__PowerSet(): + from sympy.sets.powerset import PowerSet + from sympy.core.singleton import S + assert _test_args(PowerSet(S.EmptySet)) + + +def test_sympy__sets__sets__EmptySet(): + from sympy.sets.sets import EmptySet + assert _test_args(EmptySet()) + + +def test_sympy__sets__sets__UniversalSet(): + from sympy.sets.sets import UniversalSet + assert _test_args(UniversalSet()) + + +def test_sympy__sets__sets__FiniteSet(): + from sympy.sets.sets import FiniteSet + assert _test_args(FiniteSet(x, y, z)) + + +def test_sympy__sets__sets__Interval(): + from sympy.sets.sets import Interval + assert _test_args(Interval(0, 1)) + + +def test_sympy__sets__sets__ProductSet(): + from sympy.sets.sets import ProductSet, Interval + assert _test_args(ProductSet(Interval(0, 1), Interval(0, 1))) + + +@SKIP("does it make sense to test this?") +def test_sympy__sets__sets__Set(): + from sympy.sets.sets import Set + assert _test_args(Set()) + + +def test_sympy__sets__sets__Intersection(): + from sympy.sets.sets import Intersection, Interval + from sympy.core.symbol import Symbol + x = Symbol('x') + y = Symbol('y') + S = Intersection(Interval(0, x), Interval(y, 1)) + assert isinstance(S, Intersection) + assert _test_args(S) + + +def test_sympy__sets__sets__Union(): + from sympy.sets.sets import Union, Interval + assert _test_args(Union(Interval(0, 1), Interval(2, 3))) + + +def test_sympy__sets__sets__Complement(): + from sympy.sets.sets import Complement, Interval + assert _test_args(Complement(Interval(0, 2), Interval(0, 1))) + + +def test_sympy__sets__sets__SymmetricDifference(): + from sympy.sets.sets import FiniteSet, SymmetricDifference + assert _test_args(SymmetricDifference(FiniteSet(1, 2, 3), \ + FiniteSet(2, 3, 4))) + +def test_sympy__sets__sets__DisjointUnion(): + from sympy.sets.sets import FiniteSet, DisjointUnion + assert _test_args(DisjointUnion(FiniteSet(1, 2, 3), \ + FiniteSet(2, 3, 4))) + + +def test_sympy__physics__quantum__trace__Tr(): + from sympy.physics.quantum.trace import Tr + a, b = symbols('a b', commutative=False) + assert _test_args(Tr(a + b)) + + +def test_sympy__sets__setexpr__SetExpr(): + from sympy.sets.setexpr import SetExpr + from sympy.sets.sets import Interval + assert _test_args(SetExpr(Interval(0, 1))) + + +def test_sympy__sets__fancysets__Rationals(): + from sympy.sets.fancysets import Rationals + assert _test_args(Rationals()) + + +def test_sympy__sets__fancysets__Naturals(): + from sympy.sets.fancysets import Naturals + assert _test_args(Naturals()) + + +def test_sympy__sets__fancysets__Naturals0(): + from sympy.sets.fancysets import Naturals0 + assert _test_args(Naturals0()) + + +def test_sympy__sets__fancysets__Integers(): + from sympy.sets.fancysets import Integers + assert _test_args(Integers()) + + +def test_sympy__sets__fancysets__Reals(): + from sympy.sets.fancysets import Reals + assert _test_args(Reals()) + + +def test_sympy__sets__fancysets__Complexes(): + from sympy.sets.fancysets import Complexes + assert _test_args(Complexes()) + + +def test_sympy__sets__fancysets__ComplexRegion(): + from sympy.sets.fancysets import ComplexRegion + from sympy.core.singleton import S + from sympy.sets import Interval + a = Interval(0, 1) + b = Interval(2, 3) + theta = Interval(0, 2*S.Pi) + assert _test_args(ComplexRegion(a*b)) + assert _test_args(ComplexRegion(a*theta, polar=True)) + + +def test_sympy__sets__fancysets__CartesianComplexRegion(): + from sympy.sets.fancysets import CartesianComplexRegion + from sympy.sets import Interval + a = Interval(0, 1) + b = Interval(2, 3) + assert _test_args(CartesianComplexRegion(a*b)) + + +def test_sympy__sets__fancysets__PolarComplexRegion(): + from sympy.sets.fancysets import PolarComplexRegion + from sympy.core.singleton import S + from sympy.sets import Interval + a = Interval(0, 1) + theta = Interval(0, 2*S.Pi) + assert _test_args(PolarComplexRegion(a*theta)) + + +def test_sympy__sets__fancysets__ImageSet(): + from sympy.sets.fancysets import ImageSet + from sympy.core.singleton import S + from sympy.core.symbol import Symbol + x = Symbol('x') + assert _test_args(ImageSet(Lambda(x, x**2), S.Naturals)) + + +def test_sympy__sets__fancysets__Range(): + from sympy.sets.fancysets import Range + assert _test_args(Range(1, 5, 1)) + + +def test_sympy__sets__conditionset__ConditionSet(): + from sympy.sets.conditionset import ConditionSet + from sympy.core.singleton import S + from sympy.core.symbol import Symbol + x = Symbol('x') + assert _test_args(ConditionSet(x, Eq(x**2, 1), S.Reals)) + + +def test_sympy__sets__contains__Contains(): + from sympy.sets.fancysets import Range + from sympy.sets.contains import Contains + assert _test_args(Contains(x, Range(0, 10, 2))) + + +# STATS + + +from sympy.stats.crv_types import NormalDistribution +nd = NormalDistribution(0, 1) +from sympy.stats.frv_types import DieDistribution +die = DieDistribution(6) + + +def test_sympy__stats__crv__ContinuousDomain(): + from sympy.sets.sets import Interval + from sympy.stats.crv import ContinuousDomain + assert _test_args(ContinuousDomain({x}, Interval(-oo, oo))) + + +def test_sympy__stats__crv__SingleContinuousDomain(): + from sympy.sets.sets import Interval + from sympy.stats.crv import SingleContinuousDomain + assert _test_args(SingleContinuousDomain(x, Interval(-oo, oo))) + + +def test_sympy__stats__crv__ProductContinuousDomain(): + from sympy.sets.sets import Interval + from sympy.stats.crv import SingleContinuousDomain, ProductContinuousDomain + D = SingleContinuousDomain(x, Interval(-oo, oo)) + E = SingleContinuousDomain(y, Interval(0, oo)) + assert _test_args(ProductContinuousDomain(D, E)) + + +def test_sympy__stats__crv__ConditionalContinuousDomain(): + from sympy.sets.sets import Interval + from sympy.stats.crv import (SingleContinuousDomain, + ConditionalContinuousDomain) + D = SingleContinuousDomain(x, Interval(-oo, oo)) + assert _test_args(ConditionalContinuousDomain(D, x > 0)) + + +def test_sympy__stats__crv__ContinuousPSpace(): + from sympy.sets.sets import Interval + from sympy.stats.crv import ContinuousPSpace, SingleContinuousDomain + D = SingleContinuousDomain(x, Interval(-oo, oo)) + assert _test_args(ContinuousPSpace(D, nd)) + + +def test_sympy__stats__crv__SingleContinuousPSpace(): + from sympy.stats.crv import SingleContinuousPSpace + assert _test_args(SingleContinuousPSpace(x, nd)) + +@SKIP("abstract class") +def test_sympy__stats__rv__Distribution(): + pass + +@SKIP("abstract class") +def test_sympy__stats__crv__SingleContinuousDistribution(): + pass + + +def test_sympy__stats__drv__SingleDiscreteDomain(): + from sympy.stats.drv import SingleDiscreteDomain + assert _test_args(SingleDiscreteDomain(x, S.Naturals)) + + +def test_sympy__stats__drv__ProductDiscreteDomain(): + from sympy.stats.drv import SingleDiscreteDomain, ProductDiscreteDomain + X = SingleDiscreteDomain(x, S.Naturals) + Y = SingleDiscreteDomain(y, S.Integers) + assert _test_args(ProductDiscreteDomain(X, Y)) + + +def test_sympy__stats__drv__SingleDiscretePSpace(): + from sympy.stats.drv import SingleDiscretePSpace + from sympy.stats.drv_types import PoissonDistribution + assert _test_args(SingleDiscretePSpace(x, PoissonDistribution(1))) + +def test_sympy__stats__drv__DiscretePSpace(): + from sympy.stats.drv import DiscretePSpace, SingleDiscreteDomain + density = Lambda(x, 2**(-x)) + domain = SingleDiscreteDomain(x, S.Naturals) + assert _test_args(DiscretePSpace(domain, density)) + +def test_sympy__stats__drv__ConditionalDiscreteDomain(): + from sympy.stats.drv import ConditionalDiscreteDomain, SingleDiscreteDomain + X = SingleDiscreteDomain(x, S.Naturals0) + assert _test_args(ConditionalDiscreteDomain(X, x > 2)) + +def test_sympy__stats__joint_rv__JointPSpace(): + from sympy.stats.joint_rv import JointPSpace, JointDistribution + assert _test_args(JointPSpace('X', JointDistribution(1))) + +def test_sympy__stats__joint_rv__JointRandomSymbol(): + from sympy.stats.joint_rv import JointRandomSymbol + assert _test_args(JointRandomSymbol(x)) + +def test_sympy__stats__joint_rv_types__JointDistributionHandmade(): + from sympy.tensor.indexed import Indexed + from sympy.stats.joint_rv_types import JointDistributionHandmade + x1, x2 = (Indexed('x', i) for i in (1, 2)) + assert _test_args(JointDistributionHandmade(x1 + x2, S.Reals**2)) + + +def test_sympy__stats__joint_rv__MarginalDistribution(): + from sympy.stats.rv import RandomSymbol + from sympy.stats.joint_rv import MarginalDistribution + r = RandomSymbol(S('r')) + assert _test_args(MarginalDistribution(r, (r,))) + + +def test_sympy__stats__compound_rv__CompoundDistribution(): + from sympy.stats.compound_rv import CompoundDistribution + from sympy.stats.drv_types import PoissonDistribution, Poisson + r = Poisson('r', 10) + assert _test_args(CompoundDistribution(PoissonDistribution(r))) + + +def test_sympy__stats__compound_rv__CompoundPSpace(): + from sympy.stats.compound_rv import CompoundPSpace, CompoundDistribution + from sympy.stats.drv_types import PoissonDistribution, Poisson + r = Poisson('r', 5) + C = CompoundDistribution(PoissonDistribution(r)) + assert _test_args(CompoundPSpace('C', C)) + + +@SKIP("abstract class") +def test_sympy__stats__drv__SingleDiscreteDistribution(): + pass + +@SKIP("abstract class") +def test_sympy__stats__drv__DiscreteDistribution(): + pass + +@SKIP("abstract class") +def test_sympy__stats__drv__DiscreteDomain(): + pass + + +def test_sympy__stats__rv__RandomDomain(): + from sympy.stats.rv import RandomDomain + from sympy.sets.sets import FiniteSet + assert _test_args(RandomDomain(FiniteSet(x), FiniteSet(1, 2, 3))) + + +def test_sympy__stats__rv__SingleDomain(): + from sympy.stats.rv import SingleDomain + from sympy.sets.sets import FiniteSet + assert _test_args(SingleDomain(x, FiniteSet(1, 2, 3))) + + +def test_sympy__stats__rv__ConditionalDomain(): + from sympy.stats.rv import ConditionalDomain, RandomDomain + from sympy.sets.sets import FiniteSet + D = RandomDomain(FiniteSet(x), FiniteSet(1, 2)) + assert _test_args(ConditionalDomain(D, x > 1)) + +def test_sympy__stats__rv__MatrixDomain(): + from sympy.stats.rv import MatrixDomain + from sympy.matrices import MatrixSet + from sympy.core.singleton import S + assert _test_args(MatrixDomain(x, MatrixSet(2, 2, S.Reals))) + +def test_sympy__stats__rv__PSpace(): + from sympy.stats.rv import PSpace, RandomDomain + from sympy.sets.sets import FiniteSet + D = RandomDomain(FiniteSet(x), FiniteSet(1, 2, 3, 4, 5, 6)) + assert _test_args(PSpace(D, die)) + + +@SKIP("abstract Class") +def test_sympy__stats__rv__SinglePSpace(): + pass + + +def test_sympy__stats__rv__RandomSymbol(): + from sympy.stats.rv import RandomSymbol + from sympy.stats.crv import SingleContinuousPSpace + A = SingleContinuousPSpace(x, nd) + assert _test_args(RandomSymbol(x, A)) + + +@SKIP("abstract Class") +def test_sympy__stats__rv__ProductPSpace(): + pass + + +def test_sympy__stats__rv__IndependentProductPSpace(): + from sympy.stats.rv import IndependentProductPSpace + from sympy.stats.crv import SingleContinuousPSpace + A = SingleContinuousPSpace(x, nd) + B = SingleContinuousPSpace(y, nd) + assert _test_args(IndependentProductPSpace(A, B)) + + +def test_sympy__stats__rv__ProductDomain(): + from sympy.sets.sets import Interval + from sympy.stats.rv import ProductDomain, SingleDomain + D = SingleDomain(x, Interval(-oo, oo)) + E = SingleDomain(y, Interval(0, oo)) + assert _test_args(ProductDomain(D, E)) + + +def test_sympy__stats__symbolic_probability__Probability(): + from sympy.stats.symbolic_probability import Probability + from sympy.stats import Normal + X = Normal('X', 0, 1) + assert _test_args(Probability(X > 0)) + + +def test_sympy__stats__symbolic_probability__Expectation(): + from sympy.stats.symbolic_probability import Expectation + from sympy.stats import Normal + X = Normal('X', 0, 1) + assert _test_args(Expectation(X > 0)) + + +def test_sympy__stats__symbolic_probability__Covariance(): + from sympy.stats.symbolic_probability import Covariance + from sympy.stats import Normal + X = Normal('X', 0, 1) + Y = Normal('Y', 0, 3) + assert _test_args(Covariance(X, Y)) + + +def test_sympy__stats__symbolic_probability__Variance(): + from sympy.stats.symbolic_probability import Variance + from sympy.stats import Normal + X = Normal('X', 0, 1) + assert _test_args(Variance(X)) + + +def test_sympy__stats__symbolic_probability__Moment(): + from sympy.stats.symbolic_probability import Moment + from sympy.stats import Normal + X = Normal('X', 0, 1) + assert _test_args(Moment(X, 3, 2, X > 3)) + + +def test_sympy__stats__symbolic_probability__CentralMoment(): + from sympy.stats.symbolic_probability import CentralMoment + from sympy.stats import Normal + X = Normal('X', 0, 1) + assert _test_args(CentralMoment(X, 2, X > 1)) + + +def test_sympy__stats__frv_types__DiscreteUniformDistribution(): + from sympy.stats.frv_types import DiscreteUniformDistribution + from sympy.core.containers import Tuple + assert _test_args(DiscreteUniformDistribution(Tuple(*list(range(6))))) + + +def test_sympy__stats__frv_types__DieDistribution(): + assert _test_args(die) + + +def test_sympy__stats__frv_types__BernoulliDistribution(): + from sympy.stats.frv_types import BernoulliDistribution + assert _test_args(BernoulliDistribution(S.Half, 0, 1)) + + +def test_sympy__stats__frv_types__BinomialDistribution(): + from sympy.stats.frv_types import BinomialDistribution + assert _test_args(BinomialDistribution(5, S.Half, 1, 0)) + +def test_sympy__stats__frv_types__BetaBinomialDistribution(): + from sympy.stats.frv_types import BetaBinomialDistribution + assert _test_args(BetaBinomialDistribution(5, 1, 1)) + + +def test_sympy__stats__frv_types__HypergeometricDistribution(): + from sympy.stats.frv_types import HypergeometricDistribution + assert _test_args(HypergeometricDistribution(10, 5, 3)) + + +def test_sympy__stats__frv_types__RademacherDistribution(): + from sympy.stats.frv_types import RademacherDistribution + assert _test_args(RademacherDistribution()) + +def test_sympy__stats__frv_types__IdealSolitonDistribution(): + from sympy.stats.frv_types import IdealSolitonDistribution + assert _test_args(IdealSolitonDistribution(10)) + +def test_sympy__stats__frv_types__RobustSolitonDistribution(): + from sympy.stats.frv_types import RobustSolitonDistribution + assert _test_args(RobustSolitonDistribution(1000, 0.5, 0.1)) + +def test_sympy__stats__frv__FiniteDomain(): + from sympy.stats.frv import FiniteDomain + assert _test_args(FiniteDomain({(x, 1), (x, 2)})) # x can be 1 or 2 + + +def test_sympy__stats__frv__SingleFiniteDomain(): + from sympy.stats.frv import SingleFiniteDomain + assert _test_args(SingleFiniteDomain(x, {1, 2})) # x can be 1 or 2 + + +def test_sympy__stats__frv__ProductFiniteDomain(): + from sympy.stats.frv import SingleFiniteDomain, ProductFiniteDomain + xd = SingleFiniteDomain(x, {1, 2}) + yd = SingleFiniteDomain(y, {1, 2}) + assert _test_args(ProductFiniteDomain(xd, yd)) + + +def test_sympy__stats__frv__ConditionalFiniteDomain(): + from sympy.stats.frv import SingleFiniteDomain, ConditionalFiniteDomain + xd = SingleFiniteDomain(x, {1, 2}) + assert _test_args(ConditionalFiniteDomain(xd, x > 1)) + + +def test_sympy__stats__frv__FinitePSpace(): + from sympy.stats.frv import FinitePSpace, SingleFiniteDomain + xd = SingleFiniteDomain(x, {1, 2, 3, 4, 5, 6}) + assert _test_args(FinitePSpace(xd, {(x, 1): S.Half, (x, 2): S.Half})) + + xd = SingleFiniteDomain(x, {1, 2}) + assert _test_args(FinitePSpace(xd, {(x, 1): S.Half, (x, 2): S.Half})) + + +def test_sympy__stats__frv__SingleFinitePSpace(): + from sympy.stats.frv import SingleFinitePSpace + from sympy.core.symbol import Symbol + + assert _test_args(SingleFinitePSpace(Symbol('x'), die)) + + +def test_sympy__stats__frv__ProductFinitePSpace(): + from sympy.stats.frv import SingleFinitePSpace, ProductFinitePSpace + from sympy.core.symbol import Symbol + xp = SingleFinitePSpace(Symbol('x'), die) + yp = SingleFinitePSpace(Symbol('y'), die) + assert _test_args(ProductFinitePSpace(xp, yp)) + +@SKIP("abstract class") +def test_sympy__stats__frv__SingleFiniteDistribution(): + pass + +@SKIP("abstract class") +def test_sympy__stats__crv__ContinuousDistribution(): + pass + + +def test_sympy__stats__frv_types__FiniteDistributionHandmade(): + from sympy.stats.frv_types import FiniteDistributionHandmade + from sympy.core.containers import Dict + assert _test_args(FiniteDistributionHandmade(Dict({1: 1}))) + + +def test_sympy__stats__crv_types__ContinuousDistributionHandmade(): + from sympy.stats.crv_types import ContinuousDistributionHandmade + from sympy.core.function import Lambda + from sympy.sets.sets import Interval + from sympy.abc import x + assert _test_args(ContinuousDistributionHandmade(Lambda(x, 2*x), + Interval(0, 1))) + + +def test_sympy__stats__drv_types__DiscreteDistributionHandmade(): + from sympy.stats.drv_types import DiscreteDistributionHandmade + from sympy.core.function import Lambda + from sympy.sets.sets import FiniteSet + from sympy.abc import x + assert _test_args(DiscreteDistributionHandmade(Lambda(x, Rational(1, 10)), + FiniteSet(*range(10)))) + + +def test_sympy__stats__rv__Density(): + from sympy.stats.rv import Density + from sympy.stats.crv_types import Normal + assert _test_args(Density(Normal('x', 0, 1))) + + +def test_sympy__stats__crv_types__ArcsinDistribution(): + from sympy.stats.crv_types import ArcsinDistribution + assert _test_args(ArcsinDistribution(0, 1)) + + +def test_sympy__stats__crv_types__BeniniDistribution(): + from sympy.stats.crv_types import BeniniDistribution + assert _test_args(BeniniDistribution(1, 1, 1)) + + +def test_sympy__stats__crv_types__BetaDistribution(): + from sympy.stats.crv_types import BetaDistribution + assert _test_args(BetaDistribution(1, 1)) + +def test_sympy__stats__crv_types__BetaNoncentralDistribution(): + from sympy.stats.crv_types import BetaNoncentralDistribution + assert _test_args(BetaNoncentralDistribution(1, 1, 1)) + + +def test_sympy__stats__crv_types__BetaPrimeDistribution(): + from sympy.stats.crv_types import BetaPrimeDistribution + assert _test_args(BetaPrimeDistribution(1, 1)) + +def test_sympy__stats__crv_types__BoundedParetoDistribution(): + from sympy.stats.crv_types import BoundedParetoDistribution + assert _test_args(BoundedParetoDistribution(1, 1, 2)) + +def test_sympy__stats__crv_types__CauchyDistribution(): + from sympy.stats.crv_types import CauchyDistribution + assert _test_args(CauchyDistribution(0, 1)) + + +def test_sympy__stats__crv_types__ChiDistribution(): + from sympy.stats.crv_types import ChiDistribution + assert _test_args(ChiDistribution(1)) + + +def test_sympy__stats__crv_types__ChiNoncentralDistribution(): + from sympy.stats.crv_types import ChiNoncentralDistribution + assert _test_args(ChiNoncentralDistribution(1,1)) + + +def test_sympy__stats__crv_types__ChiSquaredDistribution(): + from sympy.stats.crv_types import ChiSquaredDistribution + assert _test_args(ChiSquaredDistribution(1)) + + +def test_sympy__stats__crv_types__DagumDistribution(): + from sympy.stats.crv_types import DagumDistribution + assert _test_args(DagumDistribution(1, 1, 1)) + + +def test_sympy__stats__crv_types__DavisDistribution(): + from sympy.stats.crv_types import DavisDistribution + assert _test_args(DavisDistribution(1, 1, 1)) + + +def test_sympy__stats__crv_types__ExGaussianDistribution(): + from sympy.stats.crv_types import ExGaussianDistribution + assert _test_args(ExGaussianDistribution(1, 1, 1)) + + +def test_sympy__stats__crv_types__ExponentialDistribution(): + from sympy.stats.crv_types import ExponentialDistribution + assert _test_args(ExponentialDistribution(1)) + + +def test_sympy__stats__crv_types__ExponentialPowerDistribution(): + from sympy.stats.crv_types import ExponentialPowerDistribution + assert _test_args(ExponentialPowerDistribution(0, 1, 1)) + + +def test_sympy__stats__crv_types__FDistributionDistribution(): + from sympy.stats.crv_types import FDistributionDistribution + assert _test_args(FDistributionDistribution(1, 1)) + + +def test_sympy__stats__crv_types__FisherZDistribution(): + from sympy.stats.crv_types import FisherZDistribution + assert _test_args(FisherZDistribution(1, 1)) + + +def test_sympy__stats__crv_types__FrechetDistribution(): + from sympy.stats.crv_types import FrechetDistribution + assert _test_args(FrechetDistribution(1, 1, 1)) + + +def test_sympy__stats__crv_types__GammaInverseDistribution(): + from sympy.stats.crv_types import GammaInverseDistribution + assert _test_args(GammaInverseDistribution(1, 1)) + + +def test_sympy__stats__crv_types__GammaDistribution(): + from sympy.stats.crv_types import GammaDistribution + assert _test_args(GammaDistribution(1, 1)) + +def test_sympy__stats__crv_types__GumbelDistribution(): + from sympy.stats.crv_types import GumbelDistribution + assert _test_args(GumbelDistribution(1, 1, False)) + +def test_sympy__stats__crv_types__GompertzDistribution(): + from sympy.stats.crv_types import GompertzDistribution + assert _test_args(GompertzDistribution(1, 1)) + +def test_sympy__stats__crv_types__KumaraswamyDistribution(): + from sympy.stats.crv_types import KumaraswamyDistribution + assert _test_args(KumaraswamyDistribution(1, 1)) + +def test_sympy__stats__crv_types__LaplaceDistribution(): + from sympy.stats.crv_types import LaplaceDistribution + assert _test_args(LaplaceDistribution(0, 1)) + +def test_sympy__stats__crv_types__LevyDistribution(): + from sympy.stats.crv_types import LevyDistribution + assert _test_args(LevyDistribution(0, 1)) + +def test_sympy__stats__crv_types__LogCauchyDistribution(): + from sympy.stats.crv_types import LogCauchyDistribution + assert _test_args(LogCauchyDistribution(0, 1)) + +def test_sympy__stats__crv_types__LogisticDistribution(): + from sympy.stats.crv_types import LogisticDistribution + assert _test_args(LogisticDistribution(0, 1)) + +def test_sympy__stats__crv_types__LogLogisticDistribution(): + from sympy.stats.crv_types import LogLogisticDistribution + assert _test_args(LogLogisticDistribution(1, 1)) + +def test_sympy__stats__crv_types__LogitNormalDistribution(): + from sympy.stats.crv_types import LogitNormalDistribution + assert _test_args(LogitNormalDistribution(0, 1)) + +def test_sympy__stats__crv_types__LogNormalDistribution(): + from sympy.stats.crv_types import LogNormalDistribution + assert _test_args(LogNormalDistribution(0, 1)) + +def test_sympy__stats__crv_types__LomaxDistribution(): + from sympy.stats.crv_types import LomaxDistribution + assert _test_args(LomaxDistribution(1, 2)) + +def test_sympy__stats__crv_types__MaxwellDistribution(): + from sympy.stats.crv_types import MaxwellDistribution + assert _test_args(MaxwellDistribution(1)) + +def test_sympy__stats__crv_types__MoyalDistribution(): + from sympy.stats.crv_types import MoyalDistribution + assert _test_args(MoyalDistribution(1,2)) + +def test_sympy__stats__crv_types__NakagamiDistribution(): + from sympy.stats.crv_types import NakagamiDistribution + assert _test_args(NakagamiDistribution(1, 1)) + + +def test_sympy__stats__crv_types__NormalDistribution(): + from sympy.stats.crv_types import NormalDistribution + assert _test_args(NormalDistribution(0, 1)) + +def test_sympy__stats__crv_types__GaussianInverseDistribution(): + from sympy.stats.crv_types import GaussianInverseDistribution + assert _test_args(GaussianInverseDistribution(1, 1)) + + +def test_sympy__stats__crv_types__ParetoDistribution(): + from sympy.stats.crv_types import ParetoDistribution + assert _test_args(ParetoDistribution(1, 1)) + +def test_sympy__stats__crv_types__PowerFunctionDistribution(): + from sympy.stats.crv_types import PowerFunctionDistribution + assert _test_args(PowerFunctionDistribution(2,0,1)) + +def test_sympy__stats__crv_types__QuadraticUDistribution(): + from sympy.stats.crv_types import QuadraticUDistribution + assert _test_args(QuadraticUDistribution(1, 2)) + +def test_sympy__stats__crv_types__RaisedCosineDistribution(): + from sympy.stats.crv_types import RaisedCosineDistribution + assert _test_args(RaisedCosineDistribution(1, 1)) + +def test_sympy__stats__crv_types__RayleighDistribution(): + from sympy.stats.crv_types import RayleighDistribution + assert _test_args(RayleighDistribution(1)) + +def test_sympy__stats__crv_types__ReciprocalDistribution(): + from sympy.stats.crv_types import ReciprocalDistribution + assert _test_args(ReciprocalDistribution(5, 30)) + +def test_sympy__stats__crv_types__ShiftedGompertzDistribution(): + from sympy.stats.crv_types import ShiftedGompertzDistribution + assert _test_args(ShiftedGompertzDistribution(1, 1)) + +def test_sympy__stats__crv_types__StudentTDistribution(): + from sympy.stats.crv_types import StudentTDistribution + assert _test_args(StudentTDistribution(1)) + +def test_sympy__stats__crv_types__TrapezoidalDistribution(): + from sympy.stats.crv_types import TrapezoidalDistribution + assert _test_args(TrapezoidalDistribution(1, 2, 3, 4)) + +def test_sympy__stats__crv_types__TriangularDistribution(): + from sympy.stats.crv_types import TriangularDistribution + assert _test_args(TriangularDistribution(-1, 0, 1)) + + +def test_sympy__stats__crv_types__UniformDistribution(): + from sympy.stats.crv_types import UniformDistribution + assert _test_args(UniformDistribution(0, 1)) + + +def test_sympy__stats__crv_types__UniformSumDistribution(): + from sympy.stats.crv_types import UniformSumDistribution + assert _test_args(UniformSumDistribution(1)) + + +def test_sympy__stats__crv_types__VonMisesDistribution(): + from sympy.stats.crv_types import VonMisesDistribution + assert _test_args(VonMisesDistribution(1, 1)) + + +def test_sympy__stats__crv_types__WeibullDistribution(): + from sympy.stats.crv_types import WeibullDistribution + assert _test_args(WeibullDistribution(1, 1)) + + +def test_sympy__stats__crv_types__WignerSemicircleDistribution(): + from sympy.stats.crv_types import WignerSemicircleDistribution + assert _test_args(WignerSemicircleDistribution(1)) + + +def test_sympy__stats__drv_types__GeometricDistribution(): + from sympy.stats.drv_types import GeometricDistribution + assert _test_args(GeometricDistribution(.5)) + +def test_sympy__stats__drv_types__HermiteDistribution(): + from sympy.stats.drv_types import HermiteDistribution + assert _test_args(HermiteDistribution(1, 2)) + +def test_sympy__stats__drv_types__LogarithmicDistribution(): + from sympy.stats.drv_types import LogarithmicDistribution + assert _test_args(LogarithmicDistribution(.5)) + + +def test_sympy__stats__drv_types__NegativeBinomialDistribution(): + from sympy.stats.drv_types import NegativeBinomialDistribution + assert _test_args(NegativeBinomialDistribution(.5, .5)) + +def test_sympy__stats__drv_types__FlorySchulzDistribution(): + from sympy.stats.drv_types import FlorySchulzDistribution + assert _test_args(FlorySchulzDistribution(.5)) + +def test_sympy__stats__drv_types__PoissonDistribution(): + from sympy.stats.drv_types import PoissonDistribution + assert _test_args(PoissonDistribution(1)) + + +def test_sympy__stats__drv_types__SkellamDistribution(): + from sympy.stats.drv_types import SkellamDistribution + assert _test_args(SkellamDistribution(1, 1)) + + +def test_sympy__stats__drv_types__YuleSimonDistribution(): + from sympy.stats.drv_types import YuleSimonDistribution + assert _test_args(YuleSimonDistribution(.5)) + + +def test_sympy__stats__drv_types__ZetaDistribution(): + from sympy.stats.drv_types import ZetaDistribution + assert _test_args(ZetaDistribution(1.5)) + + +def test_sympy__stats__joint_rv__JointDistribution(): + from sympy.stats.joint_rv import JointDistribution + assert _test_args(JointDistribution(1, 2, 3, 4)) + + +def test_sympy__stats__joint_rv_types__MultivariateNormalDistribution(): + from sympy.stats.joint_rv_types import MultivariateNormalDistribution + assert _test_args( + MultivariateNormalDistribution([0, 1], [[1, 0],[0, 1]])) + +def test_sympy__stats__joint_rv_types__MultivariateLaplaceDistribution(): + from sympy.stats.joint_rv_types import MultivariateLaplaceDistribution + assert _test_args(MultivariateLaplaceDistribution([0, 1], [[1, 0],[0, 1]])) + + +def test_sympy__stats__joint_rv_types__MultivariateTDistribution(): + from sympy.stats.joint_rv_types import MultivariateTDistribution + assert _test_args(MultivariateTDistribution([0, 1], [[1, 0],[0, 1]], 1)) + + +def test_sympy__stats__joint_rv_types__NormalGammaDistribution(): + from sympy.stats.joint_rv_types import NormalGammaDistribution + assert _test_args(NormalGammaDistribution(1, 2, 3, 4)) + +def test_sympy__stats__joint_rv_types__GeneralizedMultivariateLogGammaDistribution(): + from sympy.stats.joint_rv_types import GeneralizedMultivariateLogGammaDistribution + v, l, mu = (4, [1, 2, 3, 4], [1, 2, 3, 4]) + assert _test_args(GeneralizedMultivariateLogGammaDistribution(S.Half, v, l, mu)) + +def test_sympy__stats__joint_rv_types__MultivariateBetaDistribution(): + from sympy.stats.joint_rv_types import MultivariateBetaDistribution + assert _test_args(MultivariateBetaDistribution([1, 2, 3])) + +def test_sympy__stats__joint_rv_types__MultivariateEwensDistribution(): + from sympy.stats.joint_rv_types import MultivariateEwensDistribution + assert _test_args(MultivariateEwensDistribution(5, 1)) + +def test_sympy__stats__joint_rv_types__MultinomialDistribution(): + from sympy.stats.joint_rv_types import MultinomialDistribution + assert _test_args(MultinomialDistribution(5, [0.5, 0.1, 0.3])) + +def test_sympy__stats__joint_rv_types__NegativeMultinomialDistribution(): + from sympy.stats.joint_rv_types import NegativeMultinomialDistribution + assert _test_args(NegativeMultinomialDistribution(5, [0.5, 0.1, 0.3])) + +def test_sympy__stats__rv__RandomIndexedSymbol(): + from sympy.stats.rv import RandomIndexedSymbol, pspace + from sympy.stats.stochastic_process_types import DiscreteMarkovChain + X = DiscreteMarkovChain("X") + assert _test_args(RandomIndexedSymbol(X[0].symbol, pspace(X[0]))) + +def test_sympy__stats__rv__RandomMatrixSymbol(): + from sympy.stats.rv import RandomMatrixSymbol + from sympy.stats.random_matrix import RandomMatrixPSpace + pspace = RandomMatrixPSpace('P') + assert _test_args(RandomMatrixSymbol('M', 3, 3, pspace)) + +def test_sympy__stats__stochastic_process__StochasticPSpace(): + from sympy.stats.stochastic_process import StochasticPSpace + from sympy.stats.stochastic_process_types import StochasticProcess + from sympy.stats.frv_types import BernoulliDistribution + assert _test_args(StochasticPSpace("Y", StochasticProcess("Y", [1, 2, 3]), BernoulliDistribution(S.Half, 1, 0))) + +def test_sympy__stats__stochastic_process_types__StochasticProcess(): + from sympy.stats.stochastic_process_types import StochasticProcess + assert _test_args(StochasticProcess("Y", [1, 2, 3])) + +def test_sympy__stats__stochastic_process_types__MarkovProcess(): + from sympy.stats.stochastic_process_types import MarkovProcess + assert _test_args(MarkovProcess("Y", [1, 2, 3])) + +def test_sympy__stats__stochastic_process_types__DiscreteTimeStochasticProcess(): + from sympy.stats.stochastic_process_types import DiscreteTimeStochasticProcess + assert _test_args(DiscreteTimeStochasticProcess("Y", [1, 2, 3])) + +def test_sympy__stats__stochastic_process_types__ContinuousTimeStochasticProcess(): + from sympy.stats.stochastic_process_types import ContinuousTimeStochasticProcess + assert _test_args(ContinuousTimeStochasticProcess("Y", [1, 2, 3])) + +def test_sympy__stats__stochastic_process_types__TransitionMatrixOf(): + from sympy.stats.stochastic_process_types import TransitionMatrixOf, DiscreteMarkovChain + from sympy.matrices.expressions.matexpr import MatrixSymbol + DMC = DiscreteMarkovChain("Y") + assert _test_args(TransitionMatrixOf(DMC, MatrixSymbol('T', 3, 3))) + +def test_sympy__stats__stochastic_process_types__GeneratorMatrixOf(): + from sympy.stats.stochastic_process_types import GeneratorMatrixOf, ContinuousMarkovChain + from sympy.matrices.expressions.matexpr import MatrixSymbol + DMC = ContinuousMarkovChain("Y") + assert _test_args(GeneratorMatrixOf(DMC, MatrixSymbol('T', 3, 3))) + +def test_sympy__stats__stochastic_process_types__StochasticStateSpaceOf(): + from sympy.stats.stochastic_process_types import StochasticStateSpaceOf, DiscreteMarkovChain + DMC = DiscreteMarkovChain("Y") + assert _test_args(StochasticStateSpaceOf(DMC, [0, 1, 2])) + +def test_sympy__stats__stochastic_process_types__DiscreteMarkovChain(): + from sympy.stats.stochastic_process_types import DiscreteMarkovChain + from sympy.matrices.expressions.matexpr import MatrixSymbol + assert _test_args(DiscreteMarkovChain("Y", [0, 1, 2], MatrixSymbol('T', 3, 3))) + +def test_sympy__stats__stochastic_process_types__ContinuousMarkovChain(): + from sympy.stats.stochastic_process_types import ContinuousMarkovChain + from sympy.matrices.expressions.matexpr import MatrixSymbol + assert _test_args(ContinuousMarkovChain("Y", [0, 1, 2], MatrixSymbol('T', 3, 3))) + +def test_sympy__stats__stochastic_process_types__BernoulliProcess(): + from sympy.stats.stochastic_process_types import BernoulliProcess + assert _test_args(BernoulliProcess("B", 0.5, 1, 0)) + +def test_sympy__stats__stochastic_process_types__CountingProcess(): + from sympy.stats.stochastic_process_types import CountingProcess + assert _test_args(CountingProcess("C")) + +def test_sympy__stats__stochastic_process_types__PoissonProcess(): + from sympy.stats.stochastic_process_types import PoissonProcess + assert _test_args(PoissonProcess("X", 2)) + +def test_sympy__stats__stochastic_process_types__WienerProcess(): + from sympy.stats.stochastic_process_types import WienerProcess + assert _test_args(WienerProcess("X")) + +def test_sympy__stats__stochastic_process_types__GammaProcess(): + from sympy.stats.stochastic_process_types import GammaProcess + assert _test_args(GammaProcess("X", 1, 2)) + +def test_sympy__stats__random_matrix__RandomMatrixPSpace(): + from sympy.stats.random_matrix import RandomMatrixPSpace + from sympy.stats.random_matrix_models import RandomMatrixEnsembleModel + model = RandomMatrixEnsembleModel('R', 3) + assert _test_args(RandomMatrixPSpace('P', model=model)) + +def test_sympy__stats__random_matrix_models__RandomMatrixEnsembleModel(): + from sympy.stats.random_matrix_models import RandomMatrixEnsembleModel + assert _test_args(RandomMatrixEnsembleModel('R', 3)) + +def test_sympy__stats__random_matrix_models__GaussianEnsembleModel(): + from sympy.stats.random_matrix_models import GaussianEnsembleModel + assert _test_args(GaussianEnsembleModel('G', 3)) + +def test_sympy__stats__random_matrix_models__GaussianUnitaryEnsembleModel(): + from sympy.stats.random_matrix_models import GaussianUnitaryEnsembleModel + assert _test_args(GaussianUnitaryEnsembleModel('U', 3)) + +def test_sympy__stats__random_matrix_models__GaussianOrthogonalEnsembleModel(): + from sympy.stats.random_matrix_models import GaussianOrthogonalEnsembleModel + assert _test_args(GaussianOrthogonalEnsembleModel('U', 3)) + +def test_sympy__stats__random_matrix_models__GaussianSymplecticEnsembleModel(): + from sympy.stats.random_matrix_models import GaussianSymplecticEnsembleModel + assert _test_args(GaussianSymplecticEnsembleModel('U', 3)) + +def test_sympy__stats__random_matrix_models__CircularEnsembleModel(): + from sympy.stats.random_matrix_models import CircularEnsembleModel + assert _test_args(CircularEnsembleModel('C', 3)) + +def test_sympy__stats__random_matrix_models__CircularUnitaryEnsembleModel(): + from sympy.stats.random_matrix_models import CircularUnitaryEnsembleModel + assert _test_args(CircularUnitaryEnsembleModel('U', 3)) + +def test_sympy__stats__random_matrix_models__CircularOrthogonalEnsembleModel(): + from sympy.stats.random_matrix_models import CircularOrthogonalEnsembleModel + assert _test_args(CircularOrthogonalEnsembleModel('O', 3)) + +def test_sympy__stats__random_matrix_models__CircularSymplecticEnsembleModel(): + from sympy.stats.random_matrix_models import CircularSymplecticEnsembleModel + assert _test_args(CircularSymplecticEnsembleModel('S', 3)) + +def test_sympy__stats__symbolic_multivariate_probability__ExpectationMatrix(): + from sympy.stats import ExpectationMatrix + from sympy.stats.rv import RandomMatrixSymbol + assert _test_args(ExpectationMatrix(RandomMatrixSymbol('R', 2, 1))) + +def test_sympy__stats__symbolic_multivariate_probability__VarianceMatrix(): + from sympy.stats import VarianceMatrix + from sympy.stats.rv import RandomMatrixSymbol + assert _test_args(VarianceMatrix(RandomMatrixSymbol('R', 3, 1))) + +def test_sympy__stats__symbolic_multivariate_probability__CrossCovarianceMatrix(): + from sympy.stats import CrossCovarianceMatrix + from sympy.stats.rv import RandomMatrixSymbol + assert _test_args(CrossCovarianceMatrix(RandomMatrixSymbol('R', 3, 1), + RandomMatrixSymbol('X', 3, 1))) + +def test_sympy__stats__matrix_distributions__MatrixPSpace(): + from sympy.stats.matrix_distributions import MatrixDistribution, MatrixPSpace + from sympy.matrices.dense import Matrix + M = MatrixDistribution(1, Matrix([[1, 0], [0, 1]])) + assert _test_args(MatrixPSpace('M', M, 2, 2)) + +def test_sympy__stats__matrix_distributions__MatrixDistribution(): + from sympy.stats.matrix_distributions import MatrixDistribution + from sympy.matrices.dense import Matrix + assert _test_args(MatrixDistribution(1, Matrix([[1, 0], [0, 1]]))) + +def test_sympy__stats__matrix_distributions__MatrixGammaDistribution(): + from sympy.stats.matrix_distributions import MatrixGammaDistribution + from sympy.matrices.dense import Matrix + assert _test_args(MatrixGammaDistribution(3, 4, Matrix([[1, 0], [0, 1]]))) + +def test_sympy__stats__matrix_distributions__WishartDistribution(): + from sympy.stats.matrix_distributions import WishartDistribution + from sympy.matrices.dense import Matrix + assert _test_args(WishartDistribution(3, Matrix([[1, 0], [0, 1]]))) + +def test_sympy__stats__matrix_distributions__MatrixNormalDistribution(): + from sympy.stats.matrix_distributions import MatrixNormalDistribution + from sympy.matrices.expressions.matexpr import MatrixSymbol + L = MatrixSymbol('L', 1, 2) + S1 = MatrixSymbol('S1', 1, 1) + S2 = MatrixSymbol('S2', 2, 2) + assert _test_args(MatrixNormalDistribution(L, S1, S2)) + +def test_sympy__stats__matrix_distributions__MatrixStudentTDistribution(): + from sympy.stats.matrix_distributions import MatrixStudentTDistribution + from sympy.matrices.expressions.matexpr import MatrixSymbol + v = symbols('v', positive=True) + Omega = MatrixSymbol('Omega', 3, 3) + Sigma = MatrixSymbol('Sigma', 1, 1) + Location = MatrixSymbol('Location', 1, 3) + assert _test_args(MatrixStudentTDistribution(v, Location, Omega, Sigma)) + +def test_sympy__utilities__matchpy_connector__WildDot(): + from sympy.utilities.matchpy_connector import WildDot + assert _test_args(WildDot("w_")) + + +def test_sympy__utilities__matchpy_connector__WildPlus(): + from sympy.utilities.matchpy_connector import WildPlus + assert _test_args(WildPlus("w__")) + + +def test_sympy__utilities__matchpy_connector__WildStar(): + from sympy.utilities.matchpy_connector import WildStar + assert _test_args(WildStar("w___")) + + +def test_sympy__core__symbol__Str(): + from sympy.core.symbol import Str + assert _test_args(Str('t')) + +def test_sympy__core__symbol__Dummy(): + from sympy.core.symbol import Dummy + assert _test_args(Dummy('t')) + + +def test_sympy__core__symbol__Symbol(): + from sympy.core.symbol import Symbol + assert _test_args(Symbol('t')) + + +def test_sympy__core__symbol__Wild(): + from sympy.core.symbol import Wild + assert _test_args(Wild('x', exclude=[x])) + + +@SKIP("abstract class") +def test_sympy__functions__combinatorial__factorials__CombinatorialFunction(): + pass + + +def test_sympy__functions__combinatorial__factorials__FallingFactorial(): + from sympy.functions.combinatorial.factorials import FallingFactorial + assert _test_args(FallingFactorial(2, x)) + + +def test_sympy__functions__combinatorial__factorials__MultiFactorial(): + from sympy.functions.combinatorial.factorials import MultiFactorial + assert _test_args(MultiFactorial(x)) + + +def test_sympy__functions__combinatorial__factorials__RisingFactorial(): + from sympy.functions.combinatorial.factorials import RisingFactorial + assert _test_args(RisingFactorial(2, x)) + + +def test_sympy__functions__combinatorial__factorials__binomial(): + from sympy.functions.combinatorial.factorials import binomial + assert _test_args(binomial(2, x)) + + +def test_sympy__functions__combinatorial__factorials__subfactorial(): + from sympy.functions.combinatorial.factorials import subfactorial + assert _test_args(subfactorial(x)) + + +def test_sympy__functions__combinatorial__factorials__factorial(): + from sympy.functions.combinatorial.factorials import factorial + assert _test_args(factorial(x)) + + +def test_sympy__functions__combinatorial__factorials__factorial2(): + from sympy.functions.combinatorial.factorials import factorial2 + assert _test_args(factorial2(x)) + + +def test_sympy__functions__combinatorial__numbers__bell(): + from sympy.functions.combinatorial.numbers import bell + assert _test_args(bell(x, y)) + + +def test_sympy__functions__combinatorial__numbers__bernoulli(): + from sympy.functions.combinatorial.numbers import bernoulli + assert _test_args(bernoulli(x)) + + +def test_sympy__functions__combinatorial__numbers__catalan(): + from sympy.functions.combinatorial.numbers import catalan + assert _test_args(catalan(x)) + + +def test_sympy__functions__combinatorial__numbers__genocchi(): + from sympy.functions.combinatorial.numbers import genocchi + assert _test_args(genocchi(x)) + + +def test_sympy__functions__combinatorial__numbers__euler(): + from sympy.functions.combinatorial.numbers import euler + assert _test_args(euler(x)) + + +def test_sympy__functions__combinatorial__numbers__andre(): + from sympy.functions.combinatorial.numbers import andre + assert _test_args(andre(x)) + + +def test_sympy__functions__combinatorial__numbers__carmichael(): + from sympy.functions.combinatorial.numbers import carmichael + assert _test_args(carmichael(x)) + + +def test_sympy__functions__combinatorial__numbers__divisor_sigma(): + from sympy.functions.combinatorial.numbers import divisor_sigma + k = symbols('k', integer=True) + n = symbols('n', integer=True) + t = divisor_sigma(n, k) + assert _test_args(t) + + +def test_sympy__functions__combinatorial__numbers__fibonacci(): + from sympy.functions.combinatorial.numbers import fibonacci + assert _test_args(fibonacci(x)) + + +def test_sympy__functions__combinatorial__numbers__jacobi_symbol(): + from sympy.functions.combinatorial.numbers import jacobi_symbol + assert _test_args(jacobi_symbol(2, 3)) + + +def test_sympy__functions__combinatorial__numbers__kronecker_symbol(): + from sympy.functions.combinatorial.numbers import kronecker_symbol + assert _test_args(kronecker_symbol(2, 3)) + + +def test_sympy__functions__combinatorial__numbers__legendre_symbol(): + from sympy.functions.combinatorial.numbers import legendre_symbol + assert _test_args(legendre_symbol(2, 3)) + + +def test_sympy__functions__combinatorial__numbers__mobius(): + from sympy.functions.combinatorial.numbers import mobius + assert _test_args(mobius(2)) + + +def test_sympy__functions__combinatorial__numbers__motzkin(): + from sympy.functions.combinatorial.numbers import motzkin + assert _test_args(motzkin(5)) + + +def test_sympy__functions__combinatorial__numbers__partition(): + from sympy.core.symbol import Symbol + from sympy.functions.combinatorial.numbers import partition + assert _test_args(partition(Symbol('a', integer=True))) + + +def test_sympy__functions__combinatorial__numbers__primenu(): + from sympy.functions.combinatorial.numbers import primenu + n = symbols('n', integer=True) + t = primenu(n) + assert _test_args(t) + + +def test_sympy__functions__combinatorial__numbers__primeomega(): + from sympy.functions.combinatorial.numbers import primeomega + n = symbols('n', integer=True) + t = primeomega(n) + assert _test_args(t) + + +def test_sympy__functions__combinatorial__numbers__primepi(): + from sympy.functions.combinatorial.numbers import primepi + n = symbols('n') + t = primepi(n) + assert _test_args(t) + + +def test_sympy__functions__combinatorial__numbers__reduced_totient(): + from sympy.functions.combinatorial.numbers import reduced_totient + k = symbols('k', integer=True) + t = reduced_totient(k) + assert _test_args(t) + + +def test_sympy__functions__combinatorial__numbers__totient(): + from sympy.functions.combinatorial.numbers import totient + k = symbols('k', integer=True) + t = totient(k) + assert _test_args(t) + + +def test_sympy__functions__combinatorial__numbers__tribonacci(): + from sympy.functions.combinatorial.numbers import tribonacci + assert _test_args(tribonacci(x)) + + +def test_sympy__functions__combinatorial__numbers__udivisor_sigma(): + from sympy.functions.combinatorial.numbers import udivisor_sigma + k = symbols('k', integer=True) + n = symbols('n', integer=True) + t = udivisor_sigma(n, k) + assert _test_args(t) + + +def test_sympy__functions__combinatorial__numbers__harmonic(): + from sympy.functions.combinatorial.numbers import harmonic + assert _test_args(harmonic(x, 2)) + + +def test_sympy__functions__combinatorial__numbers__lucas(): + from sympy.functions.combinatorial.numbers import lucas + assert _test_args(lucas(x)) + + +def test_sympy__functions__elementary__complexes__Abs(): + from sympy.functions.elementary.complexes import Abs + assert _test_args(Abs(x)) + + +def test_sympy__functions__elementary__complexes__adjoint(): + from sympy.functions.elementary.complexes import adjoint + assert _test_args(adjoint(x)) + + +def test_sympy__functions__elementary__complexes__arg(): + from sympy.functions.elementary.complexes import arg + assert _test_args(arg(x)) + + +def test_sympy__functions__elementary__complexes__conjugate(): + from sympy.functions.elementary.complexes import conjugate + assert _test_args(conjugate(x)) + + +def test_sympy__functions__elementary__complexes__im(): + from sympy.functions.elementary.complexes import im + assert _test_args(im(x)) + + +def test_sympy__functions__elementary__complexes__re(): + from sympy.functions.elementary.complexes import re + assert _test_args(re(x)) + + +def test_sympy__functions__elementary__complexes__sign(): + from sympy.functions.elementary.complexes import sign + assert _test_args(sign(x)) + + +def test_sympy__functions__elementary__complexes__polar_lift(): + from sympy.functions.elementary.complexes import polar_lift + assert _test_args(polar_lift(x)) + + +def test_sympy__functions__elementary__complexes__periodic_argument(): + from sympy.functions.elementary.complexes import periodic_argument + assert _test_args(periodic_argument(x, y)) + + +def test_sympy__functions__elementary__complexes__principal_branch(): + from sympy.functions.elementary.complexes import principal_branch + assert _test_args(principal_branch(x, y)) + + +def test_sympy__functions__elementary__complexes__transpose(): + from sympy.functions.elementary.complexes import transpose + assert _test_args(transpose(x)) + + +def test_sympy__functions__elementary__exponential__LambertW(): + from sympy.functions.elementary.exponential import LambertW + assert _test_args(LambertW(2)) + + +@SKIP("abstract class") +def test_sympy__functions__elementary__exponential__ExpBase(): + pass + + +def test_sympy__functions__elementary__exponential__exp(): + from sympy.functions.elementary.exponential import exp + assert _test_args(exp(2)) + + +def test_sympy__functions__elementary__exponential__exp_polar(): + from sympy.functions.elementary.exponential import exp_polar + assert _test_args(exp_polar(2)) + + +def test_sympy__functions__elementary__exponential__log(): + from sympy.functions.elementary.exponential import log + assert _test_args(log(2)) + + +@SKIP("abstract class") +def test_sympy__functions__elementary__hyperbolic__HyperbolicFunction(): + pass + + +@SKIP("abstract class") +def test_sympy__functions__elementary__hyperbolic__ReciprocalHyperbolicFunction(): + pass + + +@SKIP("abstract class") +def test_sympy__functions__elementary__hyperbolic__InverseHyperbolicFunction(): + pass + + +def test_sympy__functions__elementary__hyperbolic__acosh(): + from sympy.functions.elementary.hyperbolic import acosh + assert _test_args(acosh(2)) + + +def test_sympy__functions__elementary__hyperbolic__acoth(): + from sympy.functions.elementary.hyperbolic import acoth + assert _test_args(acoth(2)) + + +def test_sympy__functions__elementary__hyperbolic__asinh(): + from sympy.functions.elementary.hyperbolic import asinh + assert _test_args(asinh(2)) + + +def test_sympy__functions__elementary__hyperbolic__atanh(): + from sympy.functions.elementary.hyperbolic import atanh + assert _test_args(atanh(2)) + + +def test_sympy__functions__elementary__hyperbolic__asech(): + from sympy.functions.elementary.hyperbolic import asech + assert _test_args(asech(x)) + +def test_sympy__functions__elementary__hyperbolic__acsch(): + from sympy.functions.elementary.hyperbolic import acsch + assert _test_args(acsch(x)) + +def test_sympy__functions__elementary__hyperbolic__cosh(): + from sympy.functions.elementary.hyperbolic import cosh + assert _test_args(cosh(2)) + + +def test_sympy__functions__elementary__hyperbolic__coth(): + from sympy.functions.elementary.hyperbolic import coth + assert _test_args(coth(2)) + + +def test_sympy__functions__elementary__hyperbolic__csch(): + from sympy.functions.elementary.hyperbolic import csch + assert _test_args(csch(2)) + + +def test_sympy__functions__elementary__hyperbolic__sech(): + from sympy.functions.elementary.hyperbolic import sech + assert _test_args(sech(2)) + + +def test_sympy__functions__elementary__hyperbolic__sinh(): + from sympy.functions.elementary.hyperbolic import sinh + assert _test_args(sinh(2)) + + +def test_sympy__functions__elementary__hyperbolic__tanh(): + from sympy.functions.elementary.hyperbolic import tanh + assert _test_args(tanh(2)) + + +@SKIP("abstract class") +def test_sympy__functions__elementary__integers__RoundFunction(): + pass + + +def test_sympy__functions__elementary__integers__ceiling(): + from sympy.functions.elementary.integers import ceiling + assert _test_args(ceiling(x)) + + +def test_sympy__functions__elementary__integers__floor(): + from sympy.functions.elementary.integers import floor + assert _test_args(floor(x)) + + +def test_sympy__functions__elementary__integers__frac(): + from sympy.functions.elementary.integers import frac + assert _test_args(frac(x)) + + +def test_sympy__functions__elementary__miscellaneous__IdentityFunction(): + from sympy.functions.elementary.miscellaneous import IdentityFunction + assert _test_args(IdentityFunction()) + + +def test_sympy__functions__elementary__miscellaneous__Max(): + from sympy.functions.elementary.miscellaneous import Max + assert _test_args(Max(x, 2)) + + +def test_sympy__functions__elementary__miscellaneous__Min(): + from sympy.functions.elementary.miscellaneous import Min + assert _test_args(Min(x, 2)) + + +@SKIP("abstract class") +def test_sympy__functions__elementary__miscellaneous__MinMaxBase(): + pass + + +def test_sympy__functions__elementary__miscellaneous__Rem(): + from sympy.functions.elementary.miscellaneous import Rem + assert _test_args(Rem(x, 2)) + + +def test_sympy__functions__elementary__piecewise__ExprCondPair(): + from sympy.functions.elementary.piecewise import ExprCondPair + assert _test_args(ExprCondPair(1, True)) + + +def test_sympy__functions__elementary__piecewise__Piecewise(): + from sympy.functions.elementary.piecewise import Piecewise + assert _test_args(Piecewise((1, x >= 0), (0, True))) + + +@SKIP("abstract class") +def test_sympy__functions__elementary__trigonometric__TrigonometricFunction(): + pass + +@SKIP("abstract class") +def test_sympy__functions__elementary__trigonometric__ReciprocalTrigonometricFunction(): + pass + +@SKIP("abstract class") +def test_sympy__functions__elementary__trigonometric__InverseTrigonometricFunction(): + pass + +def test_sympy__functions__elementary__trigonometric__acos(): + from sympy.functions.elementary.trigonometric import acos + assert _test_args(acos(2)) + + +def test_sympy__functions__elementary__trigonometric__acot(): + from sympy.functions.elementary.trigonometric import acot + assert _test_args(acot(2)) + + +def test_sympy__functions__elementary__trigonometric__asin(): + from sympy.functions.elementary.trigonometric import asin + assert _test_args(asin(2)) + + +def test_sympy__functions__elementary__trigonometric__asec(): + from sympy.functions.elementary.trigonometric import asec + assert _test_args(asec(x)) + + +def test_sympy__functions__elementary__trigonometric__acsc(): + from sympy.functions.elementary.trigonometric import acsc + assert _test_args(acsc(x)) + + +def test_sympy__functions__elementary__trigonometric__atan(): + from sympy.functions.elementary.trigonometric import atan + assert _test_args(atan(2)) + + +def test_sympy__functions__elementary__trigonometric__atan2(): + from sympy.functions.elementary.trigonometric import atan2 + assert _test_args(atan2(2, 3)) + + +def test_sympy__functions__elementary__trigonometric__cos(): + from sympy.functions.elementary.trigonometric import cos + assert _test_args(cos(2)) + + +def test_sympy__functions__elementary__trigonometric__csc(): + from sympy.functions.elementary.trigonometric import csc + assert _test_args(csc(2)) + + +def test_sympy__functions__elementary__trigonometric__cot(): + from sympy.functions.elementary.trigonometric import cot + assert _test_args(cot(2)) + + +def test_sympy__functions__elementary__trigonometric__sin(): + assert _test_args(sin(2)) + + +def test_sympy__functions__elementary__trigonometric__sinc(): + from sympy.functions.elementary.trigonometric import sinc + assert _test_args(sinc(2)) + + +def test_sympy__functions__elementary__trigonometric__sec(): + from sympy.functions.elementary.trigonometric import sec + assert _test_args(sec(2)) + + +def test_sympy__functions__elementary__trigonometric__tan(): + from sympy.functions.elementary.trigonometric import tan + assert _test_args(tan(2)) + + +@SKIP("abstract class") +def test_sympy__functions__special__bessel__BesselBase(): + pass + + +@SKIP("abstract class") +def test_sympy__functions__special__bessel__SphericalBesselBase(): + pass + + +@SKIP("abstract class") +def test_sympy__functions__special__bessel__SphericalHankelBase(): + pass + + +def test_sympy__functions__special__bessel__besseli(): + from sympy.functions.special.bessel import besseli + assert _test_args(besseli(x, 1)) + + +def test_sympy__functions__special__bessel__besselj(): + from sympy.functions.special.bessel import besselj + assert _test_args(besselj(x, 1)) + + +def test_sympy__functions__special__bessel__besselk(): + from sympy.functions.special.bessel import besselk + assert _test_args(besselk(x, 1)) + + +def test_sympy__functions__special__bessel__bessely(): + from sympy.functions.special.bessel import bessely + assert _test_args(bessely(x, 1)) + + +def test_sympy__functions__special__bessel__hankel1(): + from sympy.functions.special.bessel import hankel1 + assert _test_args(hankel1(x, 1)) + + +def test_sympy__functions__special__bessel__hankel2(): + from sympy.functions.special.bessel import hankel2 + assert _test_args(hankel2(x, 1)) + + +def test_sympy__functions__special__bessel__jn(): + from sympy.functions.special.bessel import jn + assert _test_args(jn(0, x)) + + +def test_sympy__functions__special__bessel__yn(): + from sympy.functions.special.bessel import yn + assert _test_args(yn(0, x)) + + +def test_sympy__functions__special__bessel__hn1(): + from sympy.functions.special.bessel import hn1 + assert _test_args(hn1(0, x)) + + +def test_sympy__functions__special__bessel__hn2(): + from sympy.functions.special.bessel import hn2 + assert _test_args(hn2(0, x)) + + +def test_sympy__functions__special__bessel__AiryBase(): + pass + + +def test_sympy__functions__special__bessel__airyai(): + from sympy.functions.special.bessel import airyai + assert _test_args(airyai(2)) + + +def test_sympy__functions__special__bessel__airybi(): + from sympy.functions.special.bessel import airybi + assert _test_args(airybi(2)) + + +def test_sympy__functions__special__bessel__airyaiprime(): + from sympy.functions.special.bessel import airyaiprime + assert _test_args(airyaiprime(2)) + + +def test_sympy__functions__special__bessel__airybiprime(): + from sympy.functions.special.bessel import airybiprime + assert _test_args(airybiprime(2)) + + +def test_sympy__functions__special__bessel__marcumq(): + from sympy.functions.special.bessel import marcumq + assert _test_args(marcumq(x, y, z)) + + +def test_sympy__functions__special__elliptic_integrals__elliptic_k(): + from sympy.functions.special.elliptic_integrals import elliptic_k as K + assert _test_args(K(x)) + + +def test_sympy__functions__special__elliptic_integrals__elliptic_f(): + from sympy.functions.special.elliptic_integrals import elliptic_f as F + assert _test_args(F(x, y)) + + +def test_sympy__functions__special__elliptic_integrals__elliptic_e(): + from sympy.functions.special.elliptic_integrals import elliptic_e as E + assert _test_args(E(x)) + assert _test_args(E(x, y)) + + +def test_sympy__functions__special__elliptic_integrals__elliptic_pi(): + from sympy.functions.special.elliptic_integrals import elliptic_pi as P + assert _test_args(P(x, y)) + assert _test_args(P(x, y, z)) + + +def test_sympy__functions__special__delta_functions__DiracDelta(): + from sympy.functions.special.delta_functions import DiracDelta + assert _test_args(DiracDelta(x, 1)) + + +def test_sympy__functions__special__singularity_functions__SingularityFunction(): + from sympy.functions.special.singularity_functions import SingularityFunction + assert _test_args(SingularityFunction(x, y, z)) + + +def test_sympy__functions__special__delta_functions__Heaviside(): + from sympy.functions.special.delta_functions import Heaviside + assert _test_args(Heaviside(x)) + + +def test_sympy__functions__special__error_functions__erf(): + from sympy.functions.special.error_functions import erf + assert _test_args(erf(2)) + +def test_sympy__functions__special__error_functions__erfc(): + from sympy.functions.special.error_functions import erfc + assert _test_args(erfc(2)) + +def test_sympy__functions__special__error_functions__erfi(): + from sympy.functions.special.error_functions import erfi + assert _test_args(erfi(2)) + +def test_sympy__functions__special__error_functions__erf2(): + from sympy.functions.special.error_functions import erf2 + assert _test_args(erf2(2, 3)) + +def test_sympy__functions__special__error_functions__erfinv(): + from sympy.functions.special.error_functions import erfinv + assert _test_args(erfinv(2)) + +def test_sympy__functions__special__error_functions__erfcinv(): + from sympy.functions.special.error_functions import erfcinv + assert _test_args(erfcinv(2)) + +def test_sympy__functions__special__error_functions__erf2inv(): + from sympy.functions.special.error_functions import erf2inv + assert _test_args(erf2inv(2, 3)) + +@SKIP("abstract class") +def test_sympy__functions__special__error_functions__FresnelIntegral(): + pass + + +def test_sympy__functions__special__error_functions__fresnels(): + from sympy.functions.special.error_functions import fresnels + assert _test_args(fresnels(2)) + + +def test_sympy__functions__special__error_functions__fresnelc(): + from sympy.functions.special.error_functions import fresnelc + assert _test_args(fresnelc(2)) + + +def test_sympy__functions__special__error_functions__erfs(): + from sympy.functions.special.error_functions import _erfs + assert _test_args(_erfs(2)) + + +def test_sympy__functions__special__error_functions__Ei(): + from sympy.functions.special.error_functions import Ei + assert _test_args(Ei(2)) + + +def test_sympy__functions__special__error_functions__li(): + from sympy.functions.special.error_functions import li + assert _test_args(li(2)) + + +def test_sympy__functions__special__error_functions__Li(): + from sympy.functions.special.error_functions import Li + assert _test_args(Li(5)) + + +@SKIP("abstract class") +def test_sympy__functions__special__error_functions__TrigonometricIntegral(): + pass + + +def test_sympy__functions__special__error_functions__Si(): + from sympy.functions.special.error_functions import Si + assert _test_args(Si(2)) + + +def test_sympy__functions__special__error_functions__Ci(): + from sympy.functions.special.error_functions import Ci + assert _test_args(Ci(2)) + + +def test_sympy__functions__special__error_functions__Shi(): + from sympy.functions.special.error_functions import Shi + assert _test_args(Shi(2)) + + +def test_sympy__functions__special__error_functions__Chi(): + from sympy.functions.special.error_functions import Chi + assert _test_args(Chi(2)) + + +def test_sympy__functions__special__error_functions__expint(): + from sympy.functions.special.error_functions import expint + assert _test_args(expint(y, x)) + + +def test_sympy__functions__special__gamma_functions__gamma(): + from sympy.functions.special.gamma_functions import gamma + assert _test_args(gamma(x)) + + +def test_sympy__functions__special__gamma_functions__loggamma(): + from sympy.functions.special.gamma_functions import loggamma + assert _test_args(loggamma(x)) + + +def test_sympy__functions__special__gamma_functions__lowergamma(): + from sympy.functions.special.gamma_functions import lowergamma + assert _test_args(lowergamma(x, 2)) + + +def test_sympy__functions__special__gamma_functions__polygamma(): + from sympy.functions.special.gamma_functions import polygamma + assert _test_args(polygamma(x, 2)) + +def test_sympy__functions__special__gamma_functions__digamma(): + from sympy.functions.special.gamma_functions import digamma + assert _test_args(digamma(x)) + +def test_sympy__functions__special__gamma_functions__trigamma(): + from sympy.functions.special.gamma_functions import trigamma + assert _test_args(trigamma(x)) + +def test_sympy__functions__special__gamma_functions__uppergamma(): + from sympy.functions.special.gamma_functions import uppergamma + assert _test_args(uppergamma(x, 2)) + +def test_sympy__functions__special__gamma_functions__multigamma(): + from sympy.functions.special.gamma_functions import multigamma + assert _test_args(multigamma(x, 1)) + + +def test_sympy__functions__special__beta_functions__beta(): + from sympy.functions.special.beta_functions import beta + assert _test_args(beta(x)) + assert _test_args(beta(x, x)) + +def test_sympy__functions__special__beta_functions__betainc(): + from sympy.functions.special.beta_functions import betainc + assert _test_args(betainc(a, b, x, y)) + +def test_sympy__functions__special__beta_functions__betainc_regularized(): + from sympy.functions.special.beta_functions import betainc_regularized + assert _test_args(betainc_regularized(a, b, x, y)) + + +def test_sympy__functions__special__mathieu_functions__MathieuBase(): + pass + + +def test_sympy__functions__special__mathieu_functions__mathieus(): + from sympy.functions.special.mathieu_functions import mathieus + assert _test_args(mathieus(1, 1, 1)) + + +def test_sympy__functions__special__mathieu_functions__mathieuc(): + from sympy.functions.special.mathieu_functions import mathieuc + assert _test_args(mathieuc(1, 1, 1)) + + +def test_sympy__functions__special__mathieu_functions__mathieusprime(): + from sympy.functions.special.mathieu_functions import mathieusprime + assert _test_args(mathieusprime(1, 1, 1)) + + +def test_sympy__functions__special__mathieu_functions__mathieucprime(): + from sympy.functions.special.mathieu_functions import mathieucprime + assert _test_args(mathieucprime(1, 1, 1)) + + +@SKIP("abstract class") +def test_sympy__functions__special__hyper__TupleParametersBase(): + pass + + +@SKIP("abstract class") +def test_sympy__functions__special__hyper__TupleArg(): + pass + + +def test_sympy__functions__special__hyper__hyper(): + from sympy.functions.special.hyper import hyper + assert _test_args(hyper([1, 2, 3], [4, 5], x)) + + +def test_sympy__functions__special__hyper__meijerg(): + from sympy.functions.special.hyper import meijerg + assert _test_args(meijerg([1, 2, 3], [4, 5], [6], [], x)) + + +@SKIP("abstract class") +def test_sympy__functions__special__hyper__HyperRep(): + pass + + +def test_sympy__functions__special__hyper__HyperRep_power1(): + from sympy.functions.special.hyper import HyperRep_power1 + assert _test_args(HyperRep_power1(x, y)) + + +def test_sympy__functions__special__hyper__HyperRep_power2(): + from sympy.functions.special.hyper import HyperRep_power2 + assert _test_args(HyperRep_power2(x, y)) + + +def test_sympy__functions__special__hyper__HyperRep_log1(): + from sympy.functions.special.hyper import HyperRep_log1 + assert _test_args(HyperRep_log1(x)) + + +def test_sympy__functions__special__hyper__HyperRep_atanh(): + from sympy.functions.special.hyper import HyperRep_atanh + assert _test_args(HyperRep_atanh(x)) + + +def test_sympy__functions__special__hyper__HyperRep_asin1(): + from sympy.functions.special.hyper import HyperRep_asin1 + assert _test_args(HyperRep_asin1(x)) + + +def test_sympy__functions__special__hyper__HyperRep_asin2(): + from sympy.functions.special.hyper import HyperRep_asin2 + assert _test_args(HyperRep_asin2(x)) + + +def test_sympy__functions__special__hyper__HyperRep_sqrts1(): + from sympy.functions.special.hyper import HyperRep_sqrts1 + assert _test_args(HyperRep_sqrts1(x, y)) + + +def test_sympy__functions__special__hyper__HyperRep_sqrts2(): + from sympy.functions.special.hyper import HyperRep_sqrts2 + assert _test_args(HyperRep_sqrts2(x, y)) + + +def test_sympy__functions__special__hyper__HyperRep_log2(): + from sympy.functions.special.hyper import HyperRep_log2 + assert _test_args(HyperRep_log2(x)) + + +def test_sympy__functions__special__hyper__HyperRep_cosasin(): + from sympy.functions.special.hyper import HyperRep_cosasin + assert _test_args(HyperRep_cosasin(x, y)) + + +def test_sympy__functions__special__hyper__HyperRep_sinasin(): + from sympy.functions.special.hyper import HyperRep_sinasin + assert _test_args(HyperRep_sinasin(x, y)) + +def test_sympy__functions__special__hyper__appellf1(): + from sympy.functions.special.hyper import appellf1 + a, b1, b2, c, x, y = symbols('a b1 b2 c x y') + assert _test_args(appellf1(a, b1, b2, c, x, y)) + +@SKIP("abstract class") +def test_sympy__functions__special__polynomials__OrthogonalPolynomial(): + pass + + +def test_sympy__functions__special__polynomials__jacobi(): + from sympy.functions.special.polynomials import jacobi + assert _test_args(jacobi(x, y, 2, 2)) + + +def test_sympy__functions__special__polynomials__gegenbauer(): + from sympy.functions.special.polynomials import gegenbauer + assert _test_args(gegenbauer(x, 2, 2)) + + +def test_sympy__functions__special__polynomials__chebyshevt(): + from sympy.functions.special.polynomials import chebyshevt + assert _test_args(chebyshevt(x, 2)) + + +def test_sympy__functions__special__polynomials__chebyshevt_root(): + from sympy.functions.special.polynomials import chebyshevt_root + assert _test_args(chebyshevt_root(3, 2)) + + +def test_sympy__functions__special__polynomials__chebyshevu(): + from sympy.functions.special.polynomials import chebyshevu + assert _test_args(chebyshevu(x, 2)) + + +def test_sympy__functions__special__polynomials__chebyshevu_root(): + from sympy.functions.special.polynomials import chebyshevu_root + assert _test_args(chebyshevu_root(3, 2)) + + +def test_sympy__functions__special__polynomials__hermite(): + from sympy.functions.special.polynomials import hermite + assert _test_args(hermite(x, 2)) + + +def test_sympy__functions__special__polynomials__hermite_prob(): + from sympy.functions.special.polynomials import hermite_prob + assert _test_args(hermite_prob(x, 2)) + + +def test_sympy__functions__special__polynomials__legendre(): + from sympy.functions.special.polynomials import legendre + assert _test_args(legendre(x, 2)) + + +def test_sympy__functions__special__polynomials__assoc_legendre(): + from sympy.functions.special.polynomials import assoc_legendre + assert _test_args(assoc_legendre(x, 0, y)) + + +def test_sympy__functions__special__polynomials__laguerre(): + from sympy.functions.special.polynomials import laguerre + assert _test_args(laguerre(x, 2)) + + +def test_sympy__functions__special__polynomials__assoc_laguerre(): + from sympy.functions.special.polynomials import assoc_laguerre + assert _test_args(assoc_laguerre(x, 0, y)) + + +def test_sympy__functions__special__spherical_harmonics__Ynm(): + from sympy.functions.special.spherical_harmonics import Ynm + assert _test_args(Ynm(1, 1, x, y)) + + +def test_sympy__functions__special__spherical_harmonics__Znm(): + from sympy.functions.special.spherical_harmonics import Znm + assert _test_args(Znm(x, y, 1, 1)) + + +def test_sympy__functions__special__tensor_functions__LeviCivita(): + from sympy.functions.special.tensor_functions import LeviCivita + assert _test_args(LeviCivita(x, y, 2)) + + +def test_sympy__functions__special__tensor_functions__KroneckerDelta(): + from sympy.functions.special.tensor_functions import KroneckerDelta + assert _test_args(KroneckerDelta(x, y)) + + +def test_sympy__functions__special__zeta_functions__dirichlet_eta(): + from sympy.functions.special.zeta_functions import dirichlet_eta + assert _test_args(dirichlet_eta(x)) + + +def test_sympy__functions__special__zeta_functions__riemann_xi(): + from sympy.functions.special.zeta_functions import riemann_xi + assert _test_args(riemann_xi(x)) + + +def test_sympy__functions__special__zeta_functions__zeta(): + from sympy.functions.special.zeta_functions import zeta + assert _test_args(zeta(101)) + + +def test_sympy__functions__special__zeta_functions__lerchphi(): + from sympy.functions.special.zeta_functions import lerchphi + assert _test_args(lerchphi(x, y, z)) + + +def test_sympy__functions__special__zeta_functions__polylog(): + from sympy.functions.special.zeta_functions import polylog + assert _test_args(polylog(x, y)) + + +def test_sympy__functions__special__zeta_functions__stieltjes(): + from sympy.functions.special.zeta_functions import stieltjes + assert _test_args(stieltjes(x, y)) + + +def test_sympy__integrals__integrals__Integral(): + from sympy.integrals.integrals import Integral + assert _test_args(Integral(2, (x, 0, 1))) + + +def test_sympy__integrals__risch__NonElementaryIntegral(): + from sympy.integrals.risch import NonElementaryIntegral + assert _test_args(NonElementaryIntegral(exp(-x**2), x)) + + +@SKIP("abstract class") +def test_sympy__integrals__transforms__IntegralTransform(): + pass + + +def test_sympy__integrals__transforms__MellinTransform(): + from sympy.integrals.transforms import MellinTransform + assert _test_args(MellinTransform(2, x, y)) + + +def test_sympy__integrals__transforms__InverseMellinTransform(): + from sympy.integrals.transforms import InverseMellinTransform + assert _test_args(InverseMellinTransform(2, x, y, 0, 1)) + + +def test_sympy__integrals__laplace__LaplaceTransform(): + from sympy.integrals.laplace import LaplaceTransform + assert _test_args(LaplaceTransform(2, x, y)) + + +def test_sympy__integrals__laplace__InverseLaplaceTransform(): + from sympy.integrals.laplace import InverseLaplaceTransform + assert _test_args(InverseLaplaceTransform(2, x, y, 0)) + + +@SKIP("abstract class") +def test_sympy__integrals__transforms__FourierTypeTransform(): + pass + + +def test_sympy__integrals__transforms__InverseFourierTransform(): + from sympy.integrals.transforms import InverseFourierTransform + assert _test_args(InverseFourierTransform(2, x, y)) + + +def test_sympy__integrals__transforms__FourierTransform(): + from sympy.integrals.transforms import FourierTransform + assert _test_args(FourierTransform(2, x, y)) + + +@SKIP("abstract class") +def test_sympy__integrals__transforms__SineCosineTypeTransform(): + pass + + +def test_sympy__integrals__transforms__InverseSineTransform(): + from sympy.integrals.transforms import InverseSineTransform + assert _test_args(InverseSineTransform(2, x, y)) + + +def test_sympy__integrals__transforms__SineTransform(): + from sympy.integrals.transforms import SineTransform + assert _test_args(SineTransform(2, x, y)) + + +def test_sympy__integrals__transforms__InverseCosineTransform(): + from sympy.integrals.transforms import InverseCosineTransform + assert _test_args(InverseCosineTransform(2, x, y)) + + +def test_sympy__integrals__transforms__CosineTransform(): + from sympy.integrals.transforms import CosineTransform + assert _test_args(CosineTransform(2, x, y)) + + +@SKIP("abstract class") +def test_sympy__integrals__transforms__HankelTypeTransform(): + pass + + +def test_sympy__integrals__transforms__InverseHankelTransform(): + from sympy.integrals.transforms import InverseHankelTransform + assert _test_args(InverseHankelTransform(2, x, y, 0)) + + +def test_sympy__integrals__transforms__HankelTransform(): + from sympy.integrals.transforms import HankelTransform + assert _test_args(HankelTransform(2, x, y, 0)) + + +def test_sympy__liealgebras__cartan_type__Standard_Cartan(): + from sympy.liealgebras.cartan_type import Standard_Cartan + assert _test_args(Standard_Cartan("A", 2)) + +def test_sympy__liealgebras__weyl_group__WeylGroup(): + from sympy.liealgebras.weyl_group import WeylGroup + assert _test_args(WeylGroup("B4")) + +def test_sympy__liealgebras__root_system__RootSystem(): + from sympy.liealgebras.root_system import RootSystem + assert _test_args(RootSystem("A2")) + +def test_sympy__liealgebras__type_a__TypeA(): + from sympy.liealgebras.type_a import TypeA + assert _test_args(TypeA(2)) + +def test_sympy__liealgebras__type_b__TypeB(): + from sympy.liealgebras.type_b import TypeB + assert _test_args(TypeB(4)) + +def test_sympy__liealgebras__type_c__TypeC(): + from sympy.liealgebras.type_c import TypeC + assert _test_args(TypeC(4)) + +def test_sympy__liealgebras__type_d__TypeD(): + from sympy.liealgebras.type_d import TypeD + assert _test_args(TypeD(4)) + +def test_sympy__liealgebras__type_e__TypeE(): + from sympy.liealgebras.type_e import TypeE + assert _test_args(TypeE(6)) + +def test_sympy__liealgebras__type_f__TypeF(): + from sympy.liealgebras.type_f import TypeF + assert _test_args(TypeF(4)) + +def test_sympy__liealgebras__type_g__TypeG(): + from sympy.liealgebras.type_g import TypeG + assert _test_args(TypeG(2)) + + +def test_sympy__logic__boolalg__And(): + from sympy.logic.boolalg import And + assert _test_args(And(x, y, 1)) + + +@SKIP("abstract class") +def test_sympy__logic__boolalg__Boolean(): + pass + + +def test_sympy__logic__boolalg__BooleanFunction(): + from sympy.logic.boolalg import BooleanFunction + assert _test_args(BooleanFunction(1, 2, 3)) + +@SKIP("abstract class") +def test_sympy__logic__boolalg__BooleanAtom(): + pass + +def test_sympy__logic__boolalg__BooleanTrue(): + from sympy.logic.boolalg import true + assert _test_args(true) + +def test_sympy__logic__boolalg__BooleanFalse(): + from sympy.logic.boolalg import false + assert _test_args(false) + +def test_sympy__logic__boolalg__Equivalent(): + from sympy.logic.boolalg import Equivalent + assert _test_args(Equivalent(x, 2)) + + +def test_sympy__logic__boolalg__ITE(): + from sympy.logic.boolalg import ITE + assert _test_args(ITE(x, y, 1)) + + +def test_sympy__logic__boolalg__Implies(): + from sympy.logic.boolalg import Implies + assert _test_args(Implies(x, y)) + + +def test_sympy__logic__boolalg__Nand(): + from sympy.logic.boolalg import Nand + assert _test_args(Nand(x, y, 1)) + + +def test_sympy__logic__boolalg__Nor(): + from sympy.logic.boolalg import Nor + assert _test_args(Nor(x, y)) + + +def test_sympy__logic__boolalg__Not(): + from sympy.logic.boolalg import Not + assert _test_args(Not(x)) + + +def test_sympy__logic__boolalg__Or(): + from sympy.logic.boolalg import Or + assert _test_args(Or(x, y)) + + +def test_sympy__logic__boolalg__Xor(): + from sympy.logic.boolalg import Xor + assert _test_args(Xor(x, y, 2)) + +def test_sympy__logic__boolalg__Xnor(): + from sympy.logic.boolalg import Xnor + assert _test_args(Xnor(x, y, 2)) + +def test_sympy__logic__boolalg__Exclusive(): + from sympy.logic.boolalg import Exclusive + assert _test_args(Exclusive(x, y, z)) + + +def test_sympy__matrices__matrixbase__DeferredVector(): + from sympy.matrices.matrixbase import DeferredVector + assert _test_args(DeferredVector("X")) + + +@SKIP("abstract class") +def test_sympy__matrices__expressions__matexpr__MatrixBase(): + pass + + +@SKIP("abstract class") +def test_sympy__matrices__immutable__ImmutableRepMatrix(): + pass + + +def test_sympy__matrices__immutable__ImmutableDenseMatrix(): + from sympy.matrices.immutable import ImmutableDenseMatrix + m = ImmutableDenseMatrix([[1, 2], [3, 4]]) + assert _test_args(m) + assert _test_args(Basic(*list(m))) + m = ImmutableDenseMatrix(1, 1, [1]) + assert _test_args(m) + assert _test_args(Basic(*list(m))) + m = ImmutableDenseMatrix(2, 2, lambda i, j: 1) + assert m[0, 0] is S.One + m = ImmutableDenseMatrix(2, 2, lambda i, j: 1/(1 + i) + 1/(1 + j)) + assert m[1, 1] is S.One # true div. will give 1.0 if i,j not sympified + assert _test_args(m) + assert _test_args(Basic(*list(m))) + + +def test_sympy__matrices__immutable__ImmutableSparseMatrix(): + from sympy.matrices.immutable import ImmutableSparseMatrix + m = ImmutableSparseMatrix([[1, 2], [3, 4]]) + assert _test_args(m) + assert _test_args(Basic(*list(m))) + m = ImmutableSparseMatrix(1, 1, {(0, 0): 1}) + assert _test_args(m) + assert _test_args(Basic(*list(m))) + m = ImmutableSparseMatrix(1, 1, [1]) + assert _test_args(m) + assert _test_args(Basic(*list(m))) + m = ImmutableSparseMatrix(2, 2, lambda i, j: 1) + assert m[0, 0] is S.One + m = ImmutableSparseMatrix(2, 2, lambda i, j: 1/(1 + i) + 1/(1 + j)) + assert m[1, 1] is S.One # true div. will give 1.0 if i,j not sympified + assert _test_args(m) + assert _test_args(Basic(*list(m))) + + +def test_sympy__matrices__expressions__slice__MatrixSlice(): + from sympy.matrices.expressions.slice import MatrixSlice + from sympy.matrices.expressions import MatrixSymbol + X = MatrixSymbol('X', 4, 4) + assert _test_args(MatrixSlice(X, (0, 2), (0, 2))) + + +def test_sympy__matrices__expressions__applyfunc__ElementwiseApplyFunction(): + from sympy.matrices.expressions.applyfunc import ElementwiseApplyFunction + from sympy.matrices.expressions import MatrixSymbol + X = MatrixSymbol("X", x, x) + func = Lambda(x, x**2) + assert _test_args(ElementwiseApplyFunction(func, X)) + + +def test_sympy__matrices__expressions__blockmatrix__BlockDiagMatrix(): + from sympy.matrices.expressions.blockmatrix import BlockDiagMatrix + from sympy.matrices.expressions import MatrixSymbol + X = MatrixSymbol('X', x, x) + Y = MatrixSymbol('Y', y, y) + assert _test_args(BlockDiagMatrix(X, Y)) + + +def test_sympy__matrices__expressions__blockmatrix__BlockMatrix(): + from sympy.matrices.expressions.blockmatrix import BlockMatrix + from sympy.matrices.expressions import MatrixSymbol, ZeroMatrix + X = MatrixSymbol('X', x, x) + Y = MatrixSymbol('Y', y, y) + Z = MatrixSymbol('Z', x, y) + O = ZeroMatrix(y, x) + assert _test_args(BlockMatrix([[X, Z], [O, Y]])) + + +def test_sympy__matrices__expressions__inverse__Inverse(): + from sympy.matrices.expressions.inverse import Inverse + from sympy.matrices.expressions import MatrixSymbol + assert _test_args(Inverse(MatrixSymbol('A', 3, 3))) + + +def test_sympy__matrices__expressions__matadd__MatAdd(): + from sympy.matrices.expressions.matadd import MatAdd + from sympy.matrices.expressions import MatrixSymbol + X = MatrixSymbol('X', x, y) + Y = MatrixSymbol('Y', x, y) + assert _test_args(MatAdd(X, Y)) + + +@SKIP("abstract class") +def test_sympy__matrices__expressions__matexpr__MatrixExpr(): + pass + +def test_sympy__matrices__expressions__matexpr__MatrixElement(): + from sympy.matrices.expressions.matexpr import MatrixSymbol, MatrixElement + from sympy.core.singleton import S + assert _test_args(MatrixElement(MatrixSymbol('A', 3, 5), S(2), S(3))) + +def test_sympy__matrices__expressions__matexpr__MatrixSymbol(): + from sympy.matrices.expressions.matexpr import MatrixSymbol + assert _test_args(MatrixSymbol('A', 3, 5)) + + +def test_sympy__matrices__expressions__special__OneMatrix(): + from sympy.matrices.expressions.special import OneMatrix + assert _test_args(OneMatrix(3, 5)) + + +def test_sympy__matrices__expressions__special__ZeroMatrix(): + from sympy.matrices.expressions.special import ZeroMatrix + assert _test_args(ZeroMatrix(3, 5)) + + +def test_sympy__matrices__expressions__special__GenericZeroMatrix(): + from sympy.matrices.expressions.special import GenericZeroMatrix + assert _test_args(GenericZeroMatrix()) + + +def test_sympy__matrices__expressions__special__Identity(): + from sympy.matrices.expressions.special import Identity + assert _test_args(Identity(3)) + + +def test_sympy__matrices__expressions__special__GenericIdentity(): + from sympy.matrices.expressions.special import GenericIdentity + assert _test_args(GenericIdentity()) + + +def test_sympy__matrices__expressions__sets__MatrixSet(): + from sympy.matrices.expressions.sets import MatrixSet + from sympy.core.singleton import S + assert _test_args(MatrixSet(2, 2, S.Reals)) + +def test_sympy__matrices__expressions__matmul__MatMul(): + from sympy.matrices.expressions.matmul import MatMul + from sympy.matrices.expressions import MatrixSymbol + X = MatrixSymbol('X', x, y) + Y = MatrixSymbol('Y', y, x) + assert _test_args(MatMul(X, Y)) + + +def test_sympy__matrices__expressions__dotproduct__DotProduct(): + from sympy.matrices.expressions.dotproduct import DotProduct + from sympy.matrices.expressions import MatrixSymbol + X = MatrixSymbol('X', x, 1) + Y = MatrixSymbol('Y', x, 1) + assert _test_args(DotProduct(X, Y)) + +def test_sympy__matrices__expressions__diagonal__DiagonalMatrix(): + from sympy.matrices.expressions.diagonal import DiagonalMatrix + from sympy.matrices.expressions import MatrixSymbol + x = MatrixSymbol('x', 10, 1) + assert _test_args(DiagonalMatrix(x)) + +def test_sympy__matrices__expressions__diagonal__DiagonalOf(): + from sympy.matrices.expressions.diagonal import DiagonalOf + from sympy.matrices.expressions import MatrixSymbol + X = MatrixSymbol('x', 10, 10) + assert _test_args(DiagonalOf(X)) + +def test_sympy__matrices__expressions__diagonal__DiagMatrix(): + from sympy.matrices.expressions.diagonal import DiagMatrix + from sympy.matrices.expressions import MatrixSymbol + x = MatrixSymbol('x', 10, 1) + assert _test_args(DiagMatrix(x)) + +def test_sympy__matrices__expressions__hadamard__HadamardProduct(): + from sympy.matrices.expressions.hadamard import HadamardProduct + from sympy.matrices.expressions import MatrixSymbol + X = MatrixSymbol('X', x, y) + Y = MatrixSymbol('Y', x, y) + assert _test_args(HadamardProduct(X, Y)) + +def test_sympy__matrices__expressions__hadamard__HadamardPower(): + from sympy.matrices.expressions.hadamard import HadamardPower + from sympy.matrices.expressions import MatrixSymbol + from sympy.core.symbol import Symbol + X = MatrixSymbol('X', x, y) + n = Symbol("n") + assert _test_args(HadamardPower(X, n)) + +def test_sympy__matrices__expressions__kronecker__KroneckerProduct(): + from sympy.matrices.expressions.kronecker import KroneckerProduct + from sympy.matrices.expressions import MatrixSymbol + X = MatrixSymbol('X', x, y) + Y = MatrixSymbol('Y', x, y) + assert _test_args(KroneckerProduct(X, Y)) + + +def test_sympy__matrices__expressions__matpow__MatPow(): + from sympy.matrices.expressions.matpow import MatPow + from sympy.matrices.expressions import MatrixSymbol + X = MatrixSymbol('X', x, x) + assert _test_args(MatPow(X, 2)) + + +def test_sympy__matrices__expressions__transpose__Transpose(): + from sympy.matrices.expressions.transpose import Transpose + from sympy.matrices.expressions import MatrixSymbol + assert _test_args(Transpose(MatrixSymbol('A', 3, 5))) + + +def test_sympy__matrices__expressions__adjoint__Adjoint(): + from sympy.matrices.expressions.adjoint import Adjoint + from sympy.matrices.expressions import MatrixSymbol + assert _test_args(Adjoint(MatrixSymbol('A', 3, 5))) + + +def test_sympy__matrices__expressions__trace__Trace(): + from sympy.matrices.expressions.trace import Trace + from sympy.matrices.expressions import MatrixSymbol + assert _test_args(Trace(MatrixSymbol('A', 3, 3))) + +def test_sympy__matrices__expressions__determinant__Determinant(): + from sympy.matrices.expressions.determinant import Determinant + from sympy.matrices.expressions import MatrixSymbol + assert _test_args(Determinant(MatrixSymbol('A', 3, 3))) + +def test_sympy__matrices__expressions__determinant__Permanent(): + from sympy.matrices.expressions.determinant import Permanent + from sympy.matrices.expressions import MatrixSymbol + assert _test_args(Permanent(MatrixSymbol('A', 3, 4))) + +def test_sympy__matrices__expressions__funcmatrix__FunctionMatrix(): + from sympy.matrices.expressions.funcmatrix import FunctionMatrix + from sympy.core.symbol import symbols + i, j = symbols('i,j') + assert _test_args(FunctionMatrix(3, 3, Lambda((i, j), i - j) )) + +def test_sympy__matrices__expressions__fourier__DFT(): + from sympy.matrices.expressions.fourier import DFT + from sympy.core.singleton import S + assert _test_args(DFT(S(2))) + +def test_sympy__matrices__expressions__fourier__IDFT(): + from sympy.matrices.expressions.fourier import IDFT + from sympy.core.singleton import S + assert _test_args(IDFT(S(2))) + +from sympy.matrices.expressions import MatrixSymbol +X = MatrixSymbol('X', 10, 10) + +def test_sympy__matrices__expressions__factorizations__LofLU(): + from sympy.matrices.expressions.factorizations import LofLU + assert _test_args(LofLU(X)) + +def test_sympy__matrices__expressions__factorizations__UofLU(): + from sympy.matrices.expressions.factorizations import UofLU + assert _test_args(UofLU(X)) + +def test_sympy__matrices__expressions__factorizations__QofQR(): + from sympy.matrices.expressions.factorizations import QofQR + assert _test_args(QofQR(X)) + +def test_sympy__matrices__expressions__factorizations__RofQR(): + from sympy.matrices.expressions.factorizations import RofQR + assert _test_args(RofQR(X)) + +def test_sympy__matrices__expressions__factorizations__LofCholesky(): + from sympy.matrices.expressions.factorizations import LofCholesky + assert _test_args(LofCholesky(X)) + +def test_sympy__matrices__expressions__factorizations__UofCholesky(): + from sympy.matrices.expressions.factorizations import UofCholesky + assert _test_args(UofCholesky(X)) + +def test_sympy__matrices__expressions__factorizations__EigenVectors(): + from sympy.matrices.expressions.factorizations import EigenVectors + assert _test_args(EigenVectors(X)) + +def test_sympy__matrices__expressions__factorizations__EigenValues(): + from sympy.matrices.expressions.factorizations import EigenValues + assert _test_args(EigenValues(X)) + +def test_sympy__matrices__expressions__factorizations__UofSVD(): + from sympy.matrices.expressions.factorizations import UofSVD + assert _test_args(UofSVD(X)) + +def test_sympy__matrices__expressions__factorizations__VofSVD(): + from sympy.matrices.expressions.factorizations import VofSVD + assert _test_args(VofSVD(X)) + +def test_sympy__matrices__expressions__factorizations__SofSVD(): + from sympy.matrices.expressions.factorizations import SofSVD + assert _test_args(SofSVD(X)) + +@SKIP("abstract class") +def test_sympy__matrices__expressions__factorizations__Factorization(): + pass + +def test_sympy__matrices__expressions__permutation__PermutationMatrix(): + from sympy.combinatorics import Permutation + from sympy.matrices.expressions.permutation import PermutationMatrix + assert _test_args(PermutationMatrix(Permutation([2, 0, 1]))) + +def test_sympy__matrices__expressions__permutation__MatrixPermute(): + from sympy.combinatorics import Permutation + from sympy.matrices.expressions.matexpr import MatrixSymbol + from sympy.matrices.expressions.permutation import MatrixPermute + A = MatrixSymbol('A', 3, 3) + assert _test_args(MatrixPermute(A, Permutation([2, 0, 1]))) + +def test_sympy__matrices__expressions__companion__CompanionMatrix(): + from sympy.core.symbol import Symbol + from sympy.matrices.expressions.companion import CompanionMatrix + from sympy.polys.polytools import Poly + + x = Symbol('x') + p = Poly([1, 2, 3], x) + assert _test_args(CompanionMatrix(p)) + +def test_sympy__physics__vector__frame__CoordinateSym(): + from sympy.physics.vector import CoordinateSym + from sympy.physics.vector import ReferenceFrame + assert _test_args(CoordinateSym('R_x', ReferenceFrame('R'), 0)) + + +@SKIP("abstract class") +def test_sympy__physics__biomechanics__curve__CharacteristicCurveFunction(): + pass + + +def test_sympy__physics__biomechanics__curve__TendonForceLengthDeGroote2016(): + from sympy.physics.biomechanics import TendonForceLengthDeGroote2016 + l_T_tilde, c0, c1, c2, c3 = symbols('l_T_tilde, c0, c1, c2, c3') + assert _test_args(TendonForceLengthDeGroote2016(l_T_tilde, c0, c1, c2, c3)) + + +def test_sympy__physics__biomechanics__curve__TendonForceLengthInverseDeGroote2016(): + from sympy.physics.biomechanics import TendonForceLengthInverseDeGroote2016 + fl_T, c0, c1, c2, c3 = symbols('fl_T, c0, c1, c2, c3') + assert _test_args(TendonForceLengthInverseDeGroote2016(fl_T, c0, c1, c2, c3)) + + +def test_sympy__physics__biomechanics__curve__FiberForceLengthPassiveDeGroote2016(): + from sympy.physics.biomechanics import FiberForceLengthPassiveDeGroote2016 + l_M_tilde, c0, c1 = symbols('l_M_tilde, c0, c1') + assert _test_args(FiberForceLengthPassiveDeGroote2016(l_M_tilde, c0, c1)) + + +def test_sympy__physics__biomechanics__curve__FiberForceLengthPassiveInverseDeGroote2016(): + from sympy.physics.biomechanics import FiberForceLengthPassiveInverseDeGroote2016 + fl_M_pas, c0, c1 = symbols('fl_M_pas, c0, c1') + assert _test_args(FiberForceLengthPassiveInverseDeGroote2016(fl_M_pas, c0, c1)) + + +def test_sympy__physics__biomechanics__curve__FiberForceLengthActiveDeGroote2016(): + from sympy.physics.biomechanics import FiberForceLengthActiveDeGroote2016 + l_M_tilde, c0, c1, c2, c3, c4, c5, c6, c7, c8, c9, c10, c11 = symbols('l_M_tilde, c0:12') + assert _test_args(FiberForceLengthActiveDeGroote2016(l_M_tilde, c0, c1, c2, c3, c4, c5, c6, c7, c8, c9, c10, c11)) + + +def test_sympy__physics__biomechanics__curve__FiberForceVelocityDeGroote2016(): + from sympy.physics.biomechanics import FiberForceVelocityDeGroote2016 + v_M_tilde, c0, c1, c2, c3 = symbols('v_M_tilde, c0, c1, c2, c3') + assert _test_args(FiberForceVelocityDeGroote2016(v_M_tilde, c0, c1, c2, c3)) + + +def test_sympy__physics__biomechanics__curve__FiberForceVelocityInverseDeGroote2016(): + from sympy.physics.biomechanics import FiberForceVelocityInverseDeGroote2016 + fv_M, c0, c1, c2, c3 = symbols('fv_M, c0, c1, c2, c3') + assert _test_args(FiberForceVelocityInverseDeGroote2016(fv_M, c0, c1, c2, c3)) + + +def test_sympy__physics__paulialgebra__Pauli(): + from sympy.physics.paulialgebra import Pauli + assert _test_args(Pauli(1)) + + +def test_sympy__physics__quantum__anticommutator__AntiCommutator(): + from sympy.physics.quantum.anticommutator import AntiCommutator + assert _test_args(AntiCommutator(x, y)) + + +def test_sympy__physics__quantum__cartesian__PositionBra3D(): + from sympy.physics.quantum.cartesian import PositionBra3D + assert _test_args(PositionBra3D(x, y, z)) + + +def test_sympy__physics__quantum__cartesian__PositionKet3D(): + from sympy.physics.quantum.cartesian import PositionKet3D + assert _test_args(PositionKet3D(x, y, z)) + + +def test_sympy__physics__quantum__cartesian__PositionState3D(): + from sympy.physics.quantum.cartesian import PositionState3D + assert _test_args(PositionState3D(x, y, z)) + + +def test_sympy__physics__quantum__cartesian__PxBra(): + from sympy.physics.quantum.cartesian import PxBra + assert _test_args(PxBra(x, y, z)) + + +def test_sympy__physics__quantum__cartesian__PxKet(): + from sympy.physics.quantum.cartesian import PxKet + assert _test_args(PxKet(x, y, z)) + + +def test_sympy__physics__quantum__cartesian__PxOp(): + from sympy.physics.quantum.cartesian import PxOp + assert _test_args(PxOp(x, y, z)) + + +def test_sympy__physics__quantum__cartesian__XBra(): + from sympy.physics.quantum.cartesian import XBra + assert _test_args(XBra(x)) + + +def test_sympy__physics__quantum__cartesian__XKet(): + from sympy.physics.quantum.cartesian import XKet + assert _test_args(XKet(x)) + + +def test_sympy__physics__quantum__cartesian__XOp(): + from sympy.physics.quantum.cartesian import XOp + assert _test_args(XOp(x)) + + +def test_sympy__physics__quantum__cartesian__YOp(): + from sympy.physics.quantum.cartesian import YOp + assert _test_args(YOp(x)) + + +def test_sympy__physics__quantum__cartesian__ZOp(): + from sympy.physics.quantum.cartesian import ZOp + assert _test_args(ZOp(x)) + + +def test_sympy__physics__quantum__cg__CG(): + from sympy.physics.quantum.cg import CG + from sympy.core.singleton import S + assert _test_args(CG(Rational(3, 2), Rational(3, 2), S.Half, Rational(-1, 2), 1, 1)) + + +def test_sympy__physics__quantum__cg__Wigner3j(): + from sympy.physics.quantum.cg import Wigner3j + assert _test_args(Wigner3j(6, 0, 4, 0, 2, 0)) + + +def test_sympy__physics__quantum__cg__Wigner6j(): + from sympy.physics.quantum.cg import Wigner6j + assert _test_args(Wigner6j(1, 2, 3, 2, 1, 2)) + + +def test_sympy__physics__quantum__cg__Wigner9j(): + from sympy.physics.quantum.cg import Wigner9j + assert _test_args(Wigner9j(2, 1, 1, Rational(3, 2), S.Half, 1, S.Half, S.Half, 0)) + +def test_sympy__physics__quantum__circuitplot__Mz(): + from sympy.physics.quantum.circuitplot import Mz + assert _test_args(Mz(0)) + +def test_sympy__physics__quantum__circuitplot__Mx(): + from sympy.physics.quantum.circuitplot import Mx + assert _test_args(Mx(0)) + +def test_sympy__physics__quantum__commutator__Commutator(): + from sympy.physics.quantum.commutator import Commutator + A, B = symbols('A,B', commutative=False) + assert _test_args(Commutator(A, B)) + + +def test_sympy__physics__quantum__constants__HBar(): + from sympy.physics.quantum.constants import HBar + assert _test_args(HBar()) + + +def test_sympy__physics__quantum__dagger__Dagger(): + from sympy.physics.quantum.dagger import Dagger + from sympy.physics.quantum.state import Ket + assert _test_args(Dagger(Dagger(Ket('psi')))) + + +def test_sympy__physics__quantum__gate__CGate(): + from sympy.physics.quantum.gate import CGate, Gate + assert _test_args(CGate((0, 1), Gate(2))) + + +def test_sympy__physics__quantum__gate__CGateS(): + from sympy.physics.quantum.gate import CGateS, Gate + assert _test_args(CGateS((0, 1), Gate(2))) + + +def test_sympy__physics__quantum__gate__CNotGate(): + from sympy.physics.quantum.gate import CNotGate + assert _test_args(CNotGate(0, 1)) + + +def test_sympy__physics__quantum__gate__Gate(): + from sympy.physics.quantum.gate import Gate + assert _test_args(Gate(0)) + + +def test_sympy__physics__quantum__gate__HadamardGate(): + from sympy.physics.quantum.gate import HadamardGate + assert _test_args(HadamardGate(0)) + + +def test_sympy__physics__quantum__gate__IdentityGate(): + from sympy.physics.quantum.gate import IdentityGate + assert _test_args(IdentityGate(0)) + + +def test_sympy__physics__quantum__gate__OneQubitGate(): + from sympy.physics.quantum.gate import OneQubitGate + assert _test_args(OneQubitGate(0)) + + +def test_sympy__physics__quantum__gate__PhaseGate(): + from sympy.physics.quantum.gate import PhaseGate + assert _test_args(PhaseGate(0)) + + +def test_sympy__physics__quantum__gate__SwapGate(): + from sympy.physics.quantum.gate import SwapGate + assert _test_args(SwapGate(0, 1)) + + +def test_sympy__physics__quantum__gate__TGate(): + from sympy.physics.quantum.gate import TGate + assert _test_args(TGate(0)) + + +def test_sympy__physics__quantum__gate__TwoQubitGate(): + from sympy.physics.quantum.gate import TwoQubitGate + assert _test_args(TwoQubitGate(0)) + + +def test_sympy__physics__quantum__gate__UGate(): + from sympy.physics.quantum.gate import UGate + from sympy.matrices.immutable import ImmutableDenseMatrix + from sympy.core.containers import Tuple + from sympy.core.numbers import Integer + assert _test_args( + UGate(Tuple(Integer(1)), ImmutableDenseMatrix([[1, 0], [0, 2]]))) + + +def test_sympy__physics__quantum__gate__XGate(): + from sympy.physics.quantum.gate import XGate + assert _test_args(XGate(0)) + + +def test_sympy__physics__quantum__gate__YGate(): + from sympy.physics.quantum.gate import YGate + assert _test_args(YGate(0)) + + +def test_sympy__physics__quantum__gate__ZGate(): + from sympy.physics.quantum.gate import ZGate + assert _test_args(ZGate(0)) + + +def test_sympy__physics__quantum__grover__OracleGateFunction(): + from sympy.physics.quantum.grover import OracleGateFunction + @OracleGateFunction + def f(qubit): + return + assert _test_args(f) + +def test_sympy__physics__quantum__grover__OracleGate(): + from sympy.physics.quantum.grover import OracleGate + def f(qubit): + return + assert _test_args(OracleGate(1,f)) + + +def test_sympy__physics__quantum__grover__WGate(): + from sympy.physics.quantum.grover import WGate + assert _test_args(WGate(1)) + + +def test_sympy__physics__quantum__hilbert__ComplexSpace(): + from sympy.physics.quantum.hilbert import ComplexSpace + assert _test_args(ComplexSpace(x)) + + +def test_sympy__physics__quantum__hilbert__DirectSumHilbertSpace(): + from sympy.physics.quantum.hilbert import DirectSumHilbertSpace, ComplexSpace, FockSpace + c = ComplexSpace(2) + f = FockSpace() + assert _test_args(DirectSumHilbertSpace(c, f)) + + +def test_sympy__physics__quantum__hilbert__FockSpace(): + from sympy.physics.quantum.hilbert import FockSpace + assert _test_args(FockSpace()) + + +def test_sympy__physics__quantum__hilbert__HilbertSpace(): + from sympy.physics.quantum.hilbert import HilbertSpace + assert _test_args(HilbertSpace()) + + +def test_sympy__physics__quantum__hilbert__L2(): + from sympy.physics.quantum.hilbert import L2 + from sympy.core.numbers import oo + from sympy.sets.sets import Interval + assert _test_args(L2(Interval(0, oo))) + + +def test_sympy__physics__quantum__hilbert__TensorPowerHilbertSpace(): + from sympy.physics.quantum.hilbert import TensorPowerHilbertSpace, FockSpace + f = FockSpace() + assert _test_args(TensorPowerHilbertSpace(f, 2)) + + +def test_sympy__physics__quantum__hilbert__TensorProductHilbertSpace(): + from sympy.physics.quantum.hilbert import TensorProductHilbertSpace, FockSpace, ComplexSpace + c = ComplexSpace(2) + f = FockSpace() + assert _test_args(TensorProductHilbertSpace(f, c)) + + +def test_sympy__physics__quantum__innerproduct__InnerProduct(): + from sympy.physics.quantum import Bra, Ket, InnerProduct + b = Bra('b') + k = Ket('k') + assert _test_args(InnerProduct(b, k)) + + +def test_sympy__physics__quantum__operator__DifferentialOperator(): + from sympy.physics.quantum.operator import DifferentialOperator + from sympy.core.function import (Derivative, Function) + f = Function('f') + assert _test_args(DifferentialOperator(1/x*Derivative(f(x), x), f(x))) + + +def test_sympy__physics__quantum__operator__HermitianOperator(): + from sympy.physics.quantum.operator import HermitianOperator + assert _test_args(HermitianOperator('H')) + + +def test_sympy__physics__quantum__operator__IdentityOperator(): + with warns_deprecated_sympy(): + from sympy.physics.quantum.operator import IdentityOperator + assert _test_args(IdentityOperator(5)) + + +def test_sympy__physics__quantum__operator__Operator(): + from sympy.physics.quantum.operator import Operator + assert _test_args(Operator('A')) + + +def test_sympy__physics__quantum__operator__OuterProduct(): + from sympy.physics.quantum.operator import OuterProduct + from sympy.physics.quantum import Ket, Bra + b = Bra('b') + k = Ket('k') + assert _test_args(OuterProduct(k, b)) + + +def test_sympy__physics__quantum__operator__UnitaryOperator(): + from sympy.physics.quantum.operator import UnitaryOperator + assert _test_args(UnitaryOperator('U')) + + +def test_sympy__physics__quantum__piab__PIABBra(): + from sympy.physics.quantum.piab import PIABBra + assert _test_args(PIABBra('B')) + + +def test_sympy__physics__quantum__boson__BosonOp(): + from sympy.physics.quantum.boson import BosonOp + assert _test_args(BosonOp('a')) + assert _test_args(BosonOp('a', False)) + + +def test_sympy__physics__quantum__boson__BosonFockKet(): + from sympy.physics.quantum.boson import BosonFockKet + assert _test_args(BosonFockKet(1)) + + +def test_sympy__physics__quantum__boson__BosonFockBra(): + from sympy.physics.quantum.boson import BosonFockBra + assert _test_args(BosonFockBra(1)) + + +def test_sympy__physics__quantum__boson__BosonCoherentKet(): + from sympy.physics.quantum.boson import BosonCoherentKet + assert _test_args(BosonCoherentKet(1)) + + +def test_sympy__physics__quantum__boson__BosonCoherentBra(): + from sympy.physics.quantum.boson import BosonCoherentBra + assert _test_args(BosonCoherentBra(1)) + + +def test_sympy__physics__quantum__fermion__FermionOp(): + from sympy.physics.quantum.fermion import FermionOp + assert _test_args(FermionOp('c')) + assert _test_args(FermionOp('c', False)) + + +def test_sympy__physics__quantum__fermion__FermionFockKet(): + from sympy.physics.quantum.fermion import FermionFockKet + assert _test_args(FermionFockKet(1)) + + +def test_sympy__physics__quantum__fermion__FermionFockBra(): + from sympy.physics.quantum.fermion import FermionFockBra + assert _test_args(FermionFockBra(1)) + + +def test_sympy__physics__quantum__pauli__SigmaOpBase(): + from sympy.physics.quantum.pauli import SigmaOpBase + assert _test_args(SigmaOpBase()) + + +def test_sympy__physics__quantum__pauli__SigmaX(): + from sympy.physics.quantum.pauli import SigmaX + assert _test_args(SigmaX()) + + +def test_sympy__physics__quantum__pauli__SigmaY(): + from sympy.physics.quantum.pauli import SigmaY + assert _test_args(SigmaY()) + + +def test_sympy__physics__quantum__pauli__SigmaZ(): + from sympy.physics.quantum.pauli import SigmaZ + assert _test_args(SigmaZ()) + + +def test_sympy__physics__quantum__pauli__SigmaMinus(): + from sympy.physics.quantum.pauli import SigmaMinus + assert _test_args(SigmaMinus()) + + +def test_sympy__physics__quantum__pauli__SigmaPlus(): + from sympy.physics.quantum.pauli import SigmaPlus + assert _test_args(SigmaPlus()) + + +def test_sympy__physics__quantum__pauli__SigmaZKet(): + from sympy.physics.quantum.pauli import SigmaZKet + assert _test_args(SigmaZKet(0)) + + +def test_sympy__physics__quantum__pauli__SigmaZBra(): + from sympy.physics.quantum.pauli import SigmaZBra + assert _test_args(SigmaZBra(0)) + + +def test_sympy__physics__quantum__piab__PIABHamiltonian(): + from sympy.physics.quantum.piab import PIABHamiltonian + assert _test_args(PIABHamiltonian('P')) + + +def test_sympy__physics__quantum__piab__PIABKet(): + from sympy.physics.quantum.piab import PIABKet + assert _test_args(PIABKet('K')) + + +def test_sympy__physics__quantum__qexpr__QExpr(): + from sympy.physics.quantum.qexpr import QExpr + assert _test_args(QExpr(0)) + + +def test_sympy__physics__quantum__qft__Fourier(): + from sympy.physics.quantum.qft import Fourier + assert _test_args(Fourier(0, 1)) + + +def test_sympy__physics__quantum__qft__IQFT(): + from sympy.physics.quantum.qft import IQFT + assert _test_args(IQFT(0, 1)) + + +def test_sympy__physics__quantum__qft__QFT(): + from sympy.physics.quantum.qft import QFT + assert _test_args(QFT(0, 1)) + + +def test_sympy__physics__quantum__qft__RkGate(): + from sympy.physics.quantum.qft import RkGate + assert _test_args(RkGate(0, 1)) + + +def test_sympy__physics__quantum__qubit__IntQubit(): + from sympy.physics.quantum.qubit import IntQubit + assert _test_args(IntQubit(0)) + + +def test_sympy__physics__quantum__qubit__IntQubitBra(): + from sympy.physics.quantum.qubit import IntQubitBra + assert _test_args(IntQubitBra(0)) + + +def test_sympy__physics__quantum__qubit__IntQubitState(): + from sympy.physics.quantum.qubit import IntQubitState, QubitState + assert _test_args(IntQubitState(QubitState(0, 1))) + + +def test_sympy__physics__quantum__qubit__Qubit(): + from sympy.physics.quantum.qubit import Qubit + assert _test_args(Qubit(0, 0, 0)) + + +def test_sympy__physics__quantum__qubit__QubitBra(): + from sympy.physics.quantum.qubit import QubitBra + assert _test_args(QubitBra('1', 0)) + + +def test_sympy__physics__quantum__qubit__QubitState(): + from sympy.physics.quantum.qubit import QubitState + assert _test_args(QubitState(0, 1)) + + +def test_sympy__physics__quantum__density__Density(): + from sympy.physics.quantum.density import Density + from sympy.physics.quantum.state import Ket + assert _test_args(Density([Ket(0), 0.5], [Ket(1), 0.5])) + + +@SKIP("TODO: sympy.physics.quantum.shor: Cmod Not Implemented") +def test_sympy__physics__quantum__shor__CMod(): + from sympy.physics.quantum.shor import CMod + assert _test_args(CMod()) + + +def test_sympy__physics__quantum__spin__CoupledSpinState(): + from sympy.physics.quantum.spin import CoupledSpinState + assert _test_args(CoupledSpinState(1, 0, (1, 1))) + assert _test_args(CoupledSpinState(1, 0, (1, S.Half, S.Half))) + assert _test_args(CoupledSpinState( + 1, 0, (1, S.Half, S.Half), ((2, 3, S.Half), (1, 2, 1)) )) + j, m, j1, j2, j3, j12, x = symbols('j m j1:4 j12 x') + assert CoupledSpinState( + j, m, (j1, j2, j3)).subs(j2, x) == CoupledSpinState(j, m, (j1, x, j3)) + assert CoupledSpinState(j, m, (j1, j2, j3), ((1, 3, j12), (1, 2, j)) ).subs(j12, x) == \ + CoupledSpinState(j, m, (j1, j2, j3), ((1, 3, x), (1, 2, j)) ) + + +def test_sympy__physics__quantum__spin__J2Op(): + from sympy.physics.quantum.spin import J2Op + assert _test_args(J2Op('J')) + + +def test_sympy__physics__quantum__spin__JminusOp(): + from sympy.physics.quantum.spin import JminusOp + assert _test_args(JminusOp('J')) + + +def test_sympy__physics__quantum__spin__JplusOp(): + from sympy.physics.quantum.spin import JplusOp + assert _test_args(JplusOp('J')) + + +def test_sympy__physics__quantum__spin__JxBra(): + from sympy.physics.quantum.spin import JxBra + assert _test_args(JxBra(1, 0)) + + +def test_sympy__physics__quantum__spin__JxBraCoupled(): + from sympy.physics.quantum.spin import JxBraCoupled + assert _test_args(JxBraCoupled(1, 0, (1, 1))) + + +def test_sympy__physics__quantum__spin__JxKet(): + from sympy.physics.quantum.spin import JxKet + assert _test_args(JxKet(1, 0)) + + +def test_sympy__physics__quantum__spin__JxKetCoupled(): + from sympy.physics.quantum.spin import JxKetCoupled + assert _test_args(JxKetCoupled(1, 0, (1, 1))) + + +def test_sympy__physics__quantum__spin__JxOp(): + from sympy.physics.quantum.spin import JxOp + assert _test_args(JxOp('J')) + + +def test_sympy__physics__quantum__spin__JyBra(): + from sympy.physics.quantum.spin import JyBra + assert _test_args(JyBra(1, 0)) + + +def test_sympy__physics__quantum__spin__JyBraCoupled(): + from sympy.physics.quantum.spin import JyBraCoupled + assert _test_args(JyBraCoupled(1, 0, (1, 1))) + + +def test_sympy__physics__quantum__spin__JyKet(): + from sympy.physics.quantum.spin import JyKet + assert _test_args(JyKet(1, 0)) + + +def test_sympy__physics__quantum__spin__JyKetCoupled(): + from sympy.physics.quantum.spin import JyKetCoupled + assert _test_args(JyKetCoupled(1, 0, (1, 1))) + + +def test_sympy__physics__quantum__spin__JyOp(): + from sympy.physics.quantum.spin import JyOp + assert _test_args(JyOp('J')) + + +def test_sympy__physics__quantum__spin__JzBra(): + from sympy.physics.quantum.spin import JzBra + assert _test_args(JzBra(1, 0)) + + +def test_sympy__physics__quantum__spin__JzBraCoupled(): + from sympy.physics.quantum.spin import JzBraCoupled + assert _test_args(JzBraCoupled(1, 0, (1, 1))) + + +def test_sympy__physics__quantum__spin__JzKet(): + from sympy.physics.quantum.spin import JzKet + assert _test_args(JzKet(1, 0)) + + +def test_sympy__physics__quantum__spin__JzKetCoupled(): + from sympy.physics.quantum.spin import JzKetCoupled + assert _test_args(JzKetCoupled(1, 0, (1, 1))) + + +def test_sympy__physics__quantum__spin__JzOp(): + from sympy.physics.quantum.spin import JzOp + assert _test_args(JzOp('J')) + + +def test_sympy__physics__quantum__spin__Rotation(): + from sympy.physics.quantum.spin import Rotation + assert _test_args(Rotation(pi, 0, pi/2)) + + +def test_sympy__physics__quantum__spin__SpinState(): + from sympy.physics.quantum.spin import SpinState + assert _test_args(SpinState(1, 0)) + + +def test_sympy__physics__quantum__spin__WignerD(): + from sympy.physics.quantum.spin import WignerD + assert _test_args(WignerD(0, 1, 2, 3, 4, 5)) + + +def test_sympy__physics__quantum__state__Bra(): + from sympy.physics.quantum.state import Bra + assert _test_args(Bra(0)) + + +def test_sympy__physics__quantum__state__BraBase(): + from sympy.physics.quantum.state import BraBase + assert _test_args(BraBase(0)) + + +def test_sympy__physics__quantum__state__Ket(): + from sympy.physics.quantum.state import Ket + assert _test_args(Ket(0)) + + +def test_sympy__physics__quantum__state__KetBase(): + from sympy.physics.quantum.state import KetBase + assert _test_args(KetBase(0)) + + +def test_sympy__physics__quantum__state__State(): + from sympy.physics.quantum.state import State + assert _test_args(State(0)) + + +def test_sympy__physics__quantum__state__StateBase(): + from sympy.physics.quantum.state import StateBase + assert _test_args(StateBase(0)) + + +def test_sympy__physics__quantum__state__OrthogonalBra(): + from sympy.physics.quantum.state import OrthogonalBra + assert _test_args(OrthogonalBra(0)) + + +def test_sympy__physics__quantum__state__OrthogonalKet(): + from sympy.physics.quantum.state import OrthogonalKet + assert _test_args(OrthogonalKet(0)) + + +def test_sympy__physics__quantum__state__OrthogonalState(): + from sympy.physics.quantum.state import OrthogonalState + assert _test_args(OrthogonalState(0)) + + +def test_sympy__physics__quantum__state__TimeDepBra(): + from sympy.physics.quantum.state import TimeDepBra + assert _test_args(TimeDepBra('psi', 't')) + + +def test_sympy__physics__quantum__state__TimeDepKet(): + from sympy.physics.quantum.state import TimeDepKet + assert _test_args(TimeDepKet('psi', 't')) + + +def test_sympy__physics__quantum__state__TimeDepState(): + from sympy.physics.quantum.state import TimeDepState + assert _test_args(TimeDepState('psi', 't')) + + +def test_sympy__physics__quantum__state__Wavefunction(): + from sympy.physics.quantum.state import Wavefunction + from sympy.functions import sin + from sympy.functions.elementary.piecewise import Piecewise + n = 1 + L = 1 + g = Piecewise((0, x < 0), (0, x > L), (sqrt(2//L)*sin(n*pi*x/L), True)) + assert _test_args(Wavefunction(g, x)) + + +def test_sympy__physics__quantum__tensorproduct__TensorProduct(): + from sympy.physics.quantum.tensorproduct import TensorProduct + x, y = symbols("x y", commutative=False) + assert _test_args(TensorProduct(x, y)) + + +def test_sympy__physics__quantum__identitysearch__GateIdentity(): + from sympy.physics.quantum.gate import X + from sympy.physics.quantum.identitysearch import GateIdentity + assert _test_args(GateIdentity(X(0), X(0))) + + +def test_sympy__physics__quantum__sho1d__SHOOp(): + from sympy.physics.quantum.sho1d import SHOOp + assert _test_args(SHOOp('a')) + + +def test_sympy__physics__quantum__sho1d__RaisingOp(): + from sympy.physics.quantum.sho1d import RaisingOp + assert _test_args(RaisingOp('a')) + + +def test_sympy__physics__quantum__sho1d__LoweringOp(): + from sympy.physics.quantum.sho1d import LoweringOp + assert _test_args(LoweringOp('a')) + + +def test_sympy__physics__quantum__sho1d__NumberOp(): + from sympy.physics.quantum.sho1d import NumberOp + assert _test_args(NumberOp('N')) + + +def test_sympy__physics__quantum__sho1d__Hamiltonian(): + from sympy.physics.quantum.sho1d import Hamiltonian + assert _test_args(Hamiltonian('H')) + + +def test_sympy__physics__quantum__sho1d__SHOState(): + from sympy.physics.quantum.sho1d import SHOState + assert _test_args(SHOState(0)) + + +def test_sympy__physics__quantum__sho1d__SHOKet(): + from sympy.physics.quantum.sho1d import SHOKet + assert _test_args(SHOKet(0)) + + +def test_sympy__physics__quantum__sho1d__SHOBra(): + from sympy.physics.quantum.sho1d import SHOBra + assert _test_args(SHOBra(0)) + + +def test_sympy__physics__secondquant__AnnihilateBoson(): + from sympy.physics.secondquant import AnnihilateBoson + assert _test_args(AnnihilateBoson(0)) + + +def test_sympy__physics__secondquant__AnnihilateFermion(): + from sympy.physics.secondquant import AnnihilateFermion + assert _test_args(AnnihilateFermion(0)) + + +@SKIP("abstract class") +def test_sympy__physics__secondquant__Annihilator(): + pass + + +def test_sympy__physics__secondquant__AntiSymmetricTensor(): + from sympy.physics.secondquant import AntiSymmetricTensor + i, j = symbols('i j', below_fermi=True) + a, b = symbols('a b', above_fermi=True) + assert _test_args(AntiSymmetricTensor('v', (a, i), (b, j))) + + +def test_sympy__physics__secondquant__BosonState(): + from sympy.physics.secondquant import BosonState + assert _test_args(BosonState((0, 1))) + + +@SKIP("abstract class") +def test_sympy__physics__secondquant__BosonicOperator(): + pass + + +def test_sympy__physics__secondquant__Commutator(): + from sympy.physics.secondquant import Commutator + x, y = symbols('x y', commutative=False) + assert _test_args(Commutator(x, y)) + + +def test_sympy__physics__secondquant__CreateBoson(): + from sympy.physics.secondquant import CreateBoson + assert _test_args(CreateBoson(0)) + + +def test_sympy__physics__secondquant__CreateFermion(): + from sympy.physics.secondquant import CreateFermion + assert _test_args(CreateFermion(0)) + + +@SKIP("abstract class") +def test_sympy__physics__secondquant__Creator(): + pass + + +def test_sympy__physics__secondquant__Dagger(): + from sympy.physics.secondquant import Dagger + assert _test_args(Dagger(x)) + + +def test_sympy__physics__secondquant__FermionState(): + from sympy.physics.secondquant import FermionState + assert _test_args(FermionState((0, 1))) + + +def test_sympy__physics__secondquant__FermionicOperator(): + from sympy.physics.secondquant import FermionicOperator + assert _test_args(FermionicOperator(0)) + + +def test_sympy__physics__secondquant__FockState(): + from sympy.physics.secondquant import FockState + assert _test_args(FockState((0, 1))) + + +def test_sympy__physics__secondquant__FockStateBosonBra(): + from sympy.physics.secondquant import FockStateBosonBra + assert _test_args(FockStateBosonBra((0, 1))) + + +def test_sympy__physics__secondquant__FockStateBosonKet(): + from sympy.physics.secondquant import FockStateBosonKet + assert _test_args(FockStateBosonKet((0, 1))) + + +def test_sympy__physics__secondquant__FockStateBra(): + from sympy.physics.secondquant import FockStateBra + assert _test_args(FockStateBra((0, 1))) + + +def test_sympy__physics__secondquant__FockStateFermionBra(): + from sympy.physics.secondquant import FockStateFermionBra + assert _test_args(FockStateFermionBra((0, 1))) + + +def test_sympy__physics__secondquant__FockStateFermionKet(): + from sympy.physics.secondquant import FockStateFermionKet + assert _test_args(FockStateFermionKet((0, 1))) + + +def test_sympy__physics__secondquant__FockStateKet(): + from sympy.physics.secondquant import FockStateKet + assert _test_args(FockStateKet((0, 1))) + + +def test_sympy__physics__secondquant__InnerProduct(): + from sympy.physics.secondquant import InnerProduct + from sympy.physics.secondquant import FockStateKet, FockStateBra + assert _test_args(InnerProduct(FockStateBra((0, 1)), FockStateKet((0, 1)))) + + +def test_sympy__physics__secondquant__NO(): + from sympy.physics.secondquant import NO, F, Fd + assert _test_args(NO(Fd(x)*F(y))) + + +def test_sympy__physics__secondquant__PermutationOperator(): + from sympy.physics.secondquant import PermutationOperator + assert _test_args(PermutationOperator(0, 1)) + + +def test_sympy__physics__secondquant__SqOperator(): + from sympy.physics.secondquant import SqOperator + assert _test_args(SqOperator(0)) + + +def test_sympy__physics__secondquant__TensorSymbol(): + from sympy.physics.secondquant import TensorSymbol + assert _test_args(TensorSymbol(x)) + + +def test_sympy__physics__control__lti__LinearTimeInvariant(): + # Direct instances of LinearTimeInvariant class are not allowed. + # func(*args) tests for its derived classes (TransferFunction, + # Series, Parallel and TransferFunctionMatrix) should pass. + pass + + +def test_sympy__physics__control__lti__SISOLinearTimeInvariant(): + # Direct instances of SISOLinearTimeInvariant class are not allowed. + pass + + +def test_sympy__physics__control__lti__MIMOLinearTimeInvariant(): + # Direct instances of MIMOLinearTimeInvariant class are not allowed. + pass + + +def test_sympy__physics__control__lti__TransferFunction(): + from sympy.physics.control.lti import TransferFunction + assert _test_args(TransferFunction(2, 3, x)) + + +def _test_args_PIDController(obj): + from sympy.physics.control.lti import PIDController + if isinstance(obj, PIDController): + kp, ki, kd, tf = obj.kp, obj.ki, obj.kd, obj.tf + recreated_pid = PIDController(kp, ki, kd, tf, s) + return recreated_pid == obj + return False + + +def test_sympy__physics__control__lti__PIDController(): + from sympy.physics.control.lti import PIDController + kp, ki, kd, tf = 1, 0.1, 0.01, 0 + assert _test_args_PIDController(PIDController(kp, ki, kd, tf, s)) + + +def test_sympy__physics__control__lti__Series(): + from sympy.physics.control import Series, TransferFunction + tf1 = TransferFunction(x**2 - y**3, y - z, x) + tf2 = TransferFunction(y - x, z + y, x) + assert _test_args(Series(tf1, tf2)) + + +def test_sympy__physics__control__lti__MIMOSeries(): + from sympy.physics.control import MIMOSeries, TransferFunction, TransferFunctionMatrix + tf1 = TransferFunction(x**2 - y**3, y - z, x) + tf2 = TransferFunction(y - x, z + y, x) + tfm_1 = TransferFunctionMatrix([[tf2, tf1]]) + tfm_2 = TransferFunctionMatrix([[tf1, tf2], [tf2, tf1]]) + tfm_3 = TransferFunctionMatrix([[tf1], [tf2]]) + assert _test_args(MIMOSeries(tfm_3, tfm_2, tfm_1)) + + +def test_sympy__physics__control__lti__Parallel(): + from sympy.physics.control import Parallel, TransferFunction + tf1 = TransferFunction(x**2 - y**3, y - z, x) + tf2 = TransferFunction(y - x, z + y, x) + assert _test_args(Parallel(tf1, tf2)) + + +def test_sympy__physics__control__lti__MIMOParallel(): + from sympy.physics.control import MIMOParallel, TransferFunction, TransferFunctionMatrix + tf1 = TransferFunction(x**2 - y**3, y - z, x) + tf2 = TransferFunction(y - x, z + y, x) + tfm_1 = TransferFunctionMatrix([[tf1, tf2], [tf2, tf1]]) + tfm_2 = TransferFunctionMatrix([[tf2, tf1], [tf1, tf2]]) + assert _test_args(MIMOParallel(tfm_1, tfm_2)) + + +def test_sympy__physics__control__lti__Feedback(): + from sympy.physics.control import TransferFunction, Feedback + tf1 = TransferFunction(x**2 - y**3, y - z, x) + tf2 = TransferFunction(y - x, z + y, x) + assert _test_args(Feedback(tf1, tf2)) + assert _test_args(Feedback(tf1, tf2, 1)) + + +def test_sympy__physics__control__lti__MIMOFeedback(): + from sympy.physics.control import TransferFunction, MIMOFeedback, TransferFunctionMatrix + tf1 = TransferFunction(x**2 - y**3, y - z, x) + tf2 = TransferFunction(y - x, z + y, x) + tfm_1 = TransferFunctionMatrix([[tf2, tf1], [tf1, tf2]]) + tfm_2 = TransferFunctionMatrix([[tf1, tf2], [tf2, tf1]]) + assert _test_args(MIMOFeedback(tfm_1, tfm_2)) + assert _test_args(MIMOFeedback(tfm_1, tfm_2, 1)) + + +def test_sympy__physics__control__lti__TransferFunctionMatrix(): + from sympy.physics.control import TransferFunction, TransferFunctionMatrix + tf1 = TransferFunction(x**2 - y**3, y - z, x) + tf2 = TransferFunction(y - x, z + y, x) + assert _test_args(TransferFunctionMatrix([[tf1, tf2]])) + + +def test_sympy__physics__control__lti__StateSpace(): + from sympy.matrices.dense import Matrix + from sympy.physics.control import StateSpace + A = Matrix([[-5, -1], [3, -1]]) + B = Matrix([2, 5]) + C = Matrix([[1, 2]]) + D = Matrix([0]) + assert _test_args(StateSpace(A, B, C, D)) + + +def test_sympy__physics__units__dimensions__Dimension(): + from sympy.physics.units.dimensions import Dimension + assert _test_args(Dimension("length", "L")) + + +def test_sympy__physics__units__dimensions__DimensionSystem(): + from sympy.physics.units.dimensions import DimensionSystem + from sympy.physics.units.definitions.dimension_definitions import length, time, velocity + assert _test_args(DimensionSystem((length, time), (velocity,))) + + +def test_sympy__physics__units__quantities__Quantity(): + from sympy.physics.units.quantities import Quantity + assert _test_args(Quantity("dam")) + + +def test_sympy__physics__units__quantities__PhysicalConstant(): + from sympy.physics.units.quantities import PhysicalConstant + assert _test_args(PhysicalConstant("foo")) + + +def test_sympy__physics__units__prefixes__Prefix(): + from sympy.physics.units.prefixes import Prefix + assert _test_args(Prefix('kilo', 'k', 3)) + + +def test_sympy__core__numbers__AlgebraicNumber(): + from sympy.core.numbers import AlgebraicNumber + assert _test_args(AlgebraicNumber(sqrt(2), [1, 2, 3])) + + +def test_sympy__polys__polytools__GroebnerBasis(): + from sympy.polys.polytools import GroebnerBasis + assert _test_args(GroebnerBasis([x, y, z], x, y, z)) + + +def test_sympy__polys__polytools__Poly(): + from sympy.polys.polytools import Poly + assert _test_args(Poly(2, x, y)) + + +def test_sympy__polys__polytools__PurePoly(): + from sympy.polys.polytools import PurePoly + assert _test_args(PurePoly(2, x, y)) + + +@SKIP('abstract class') +def test_sympy__polys__rootoftools__RootOf(): + pass + + +def test_sympy__polys__rootoftools__ComplexRootOf(): + from sympy.polys.rootoftools import ComplexRootOf + assert _test_args(ComplexRootOf(x**3 + x + 1, 0)) + + +def test_sympy__polys__rootoftools__RootSum(): + from sympy.polys.rootoftools import RootSum + assert _test_args(RootSum(x**3 + x + 1, sin)) + + +def test_sympy__series__limits__Limit(): + from sympy.series.limits import Limit + assert _test_args(Limit(x, x, 0, dir='-')) + + +def test_sympy__series__order__Order(): + from sympy.series.order import Order + assert _test_args(Order(1, x, y)) + + +@SKIP('Abstract Class') +def test_sympy__series__sequences__SeqBase(): + pass + + +def test_sympy__series__sequences__EmptySequence(): + # Need to import the instance from series not the class from + # series.sequence + from sympy.series import EmptySequence + assert _test_args(EmptySequence) + + +@SKIP('Abstract Class') +def test_sympy__series__sequences__SeqExpr(): + pass + + +def test_sympy__series__sequences__SeqPer(): + from sympy.series.sequences import SeqPer + assert _test_args(SeqPer((1, 2, 3), (0, 10))) + + +def test_sympy__series__sequences__SeqFormula(): + from sympy.series.sequences import SeqFormula + assert _test_args(SeqFormula(x**2, (0, 10))) + + +def test_sympy__series__sequences__RecursiveSeq(): + from sympy.series.sequences import RecursiveSeq + y = Function("y") + n = symbols("n") + assert _test_args(RecursiveSeq(y(n - 1) + y(n - 2), y(n), n, (0, 1))) + assert _test_args(RecursiveSeq(y(n - 1) + y(n - 2), y(n), n)) + + +def test_sympy__series__sequences__SeqExprOp(): + from sympy.series.sequences import SeqExprOp, sequence + s1 = sequence((1, 2, 3)) + s2 = sequence(x**2) + assert _test_args(SeqExprOp(s1, s2)) + + +def test_sympy__series__sequences__SeqAdd(): + from sympy.series.sequences import SeqAdd, sequence + s1 = sequence((1, 2, 3)) + s2 = sequence(x**2) + assert _test_args(SeqAdd(s1, s2)) + + +def test_sympy__series__sequences__SeqMul(): + from sympy.series.sequences import SeqMul, sequence + s1 = sequence((1, 2, 3)) + s2 = sequence(x**2) + assert _test_args(SeqMul(s1, s2)) + + +@SKIP('Abstract Class') +def test_sympy__series__series_class__SeriesBase(): + pass + + +def test_sympy__series__fourier__FourierSeries(): + from sympy.series.fourier import fourier_series + assert _test_args(fourier_series(x, (x, -pi, pi))) + +def test_sympy__series__fourier__FiniteFourierSeries(): + from sympy.series.fourier import fourier_series + assert _test_args(fourier_series(sin(pi*x), (x, -1, 1))) + + +def test_sympy__series__formal__FormalPowerSeries(): + from sympy.series.formal import fps + assert _test_args(fps(log(1 + x), x)) + + +def test_sympy__series__formal__Coeff(): + from sympy.series.formal import fps + assert _test_args(fps(x**2 + x + 1, x)) + + +@SKIP('Abstract Class') +def test_sympy__series__formal__FiniteFormalPowerSeries(): + pass + + +def test_sympy__series__formal__FormalPowerSeriesProduct(): + from sympy.series.formal import fps + f1, f2 = fps(sin(x)), fps(exp(x)) + assert _test_args(f1.product(f2, x)) + + +def test_sympy__series__formal__FormalPowerSeriesCompose(): + from sympy.series.formal import fps + f1, f2 = fps(exp(x)), fps(sin(x)) + assert _test_args(f1.compose(f2, x)) + + +def test_sympy__series__formal__FormalPowerSeriesInverse(): + from sympy.series.formal import fps + f1 = fps(exp(x)) + assert _test_args(f1.inverse(x)) + + +def test_sympy__simplify__hyperexpand__Hyper_Function(): + from sympy.simplify.hyperexpand import Hyper_Function + assert _test_args(Hyper_Function([2], [1])) + + +def test_sympy__simplify__hyperexpand__G_Function(): + from sympy.simplify.hyperexpand import G_Function + assert _test_args(G_Function([2], [1], [], [])) + + +@SKIP("abstract class") +def test_sympy__tensor__array__ndim_array__ImmutableNDimArray(): + pass + + +def test_sympy__tensor__array__dense_ndim_array__ImmutableDenseNDimArray(): + from sympy.tensor.array.dense_ndim_array import ImmutableDenseNDimArray + densarr = ImmutableDenseNDimArray(range(10, 34), (2, 3, 4)) + assert _test_args(densarr) + + +def test_sympy__tensor__array__sparse_ndim_array__ImmutableSparseNDimArray(): + from sympy.tensor.array.sparse_ndim_array import ImmutableSparseNDimArray + sparr = ImmutableSparseNDimArray(range(10, 34), (2, 3, 4)) + assert _test_args(sparr) + + +def test_sympy__tensor__array__array_comprehension__ArrayComprehension(): + from sympy.tensor.array.array_comprehension import ArrayComprehension + arrcom = ArrayComprehension(x, (x, 1, 5)) + assert _test_args(arrcom) + +def test_sympy__tensor__array__array_comprehension__ArrayComprehensionMap(): + from sympy.tensor.array.array_comprehension import ArrayComprehensionMap + arrcomma = ArrayComprehensionMap(lambda: 0, (x, 1, 5)) + assert _test_args(arrcomma) + + +def test_sympy__tensor__array__array_derivatives__ArrayDerivative(): + from sympy.tensor.array.array_derivatives import ArrayDerivative + A = MatrixSymbol("A", 2, 2) + arrder = ArrayDerivative(A, A, evaluate=False) + assert _test_args(arrder) + +def test_sympy__tensor__array__expressions__array_expressions__ArraySymbol(): + from sympy.tensor.array.expressions.array_expressions import ArraySymbol + m, n, k = symbols("m n k") + array = ArraySymbol("A", (m, n, k, 2)) + assert _test_args(array) + +def test_sympy__tensor__array__expressions__array_expressions__ArrayElement(): + from sympy.tensor.array.expressions.array_expressions import ArrayElement + m, n, k = symbols("m n k") + ae = ArrayElement("A", (m, n, k, 2)) + assert _test_args(ae) + +def test_sympy__tensor__array__expressions__array_expressions__ZeroArray(): + from sympy.tensor.array.expressions.array_expressions import ZeroArray + m, n, k = symbols("m n k") + za = ZeroArray(m, n, k, 2) + assert _test_args(za) + +def test_sympy__tensor__array__expressions__array_expressions__OneArray(): + from sympy.tensor.array.expressions.array_expressions import OneArray + m, n, k = symbols("m n k") + za = OneArray(m, n, k, 2) + assert _test_args(za) + +def test_sympy__tensor__functions__TensorProduct(): + from sympy.tensor.functions import TensorProduct + A = MatrixSymbol('A', 3, 3) + B = MatrixSymbol('B', 3, 3) + tp = TensorProduct(A, B) + assert _test_args(tp) + + +def test_sympy__tensor__indexed__Idx(): + from sympy.tensor.indexed import Idx + assert _test_args(Idx('test')) + assert _test_args(Idx('test', (0, 10))) + assert _test_args(Idx('test', 2)) + assert _test_args(Idx('test', x)) + + +def test_sympy__tensor__indexed__Indexed(): + from sympy.tensor.indexed import Indexed, Idx + assert _test_args(Indexed('A', Idx('i'), Idx('j'))) + + +def test_sympy__tensor__indexed__IndexedBase(): + from sympy.tensor.indexed import IndexedBase + assert _test_args(IndexedBase('A', shape=(x, y))) + assert _test_args(IndexedBase('A', 1)) + assert _test_args(IndexedBase('A')[0, 1]) + + +def test_sympy__tensor__tensor__TensorIndexType(): + from sympy.tensor.tensor import TensorIndexType + assert _test_args(TensorIndexType('Lorentz')) + + +@SKIP("deprecated class") +def test_sympy__tensor__tensor__TensorType(): + pass + + +def test_sympy__tensor__tensor__TensorSymmetry(): + from sympy.tensor.tensor import TensorSymmetry, get_symmetric_group_sgs + assert _test_args(TensorSymmetry(get_symmetric_group_sgs(2))) + + +def test_sympy__tensor__tensor__TensorHead(): + from sympy.tensor.tensor import TensorIndexType, TensorSymmetry, get_symmetric_group_sgs, TensorHead + Lorentz = TensorIndexType('Lorentz', dummy_name='L') + sym = TensorSymmetry(get_symmetric_group_sgs(1)) + assert _test_args(TensorHead('p', [Lorentz], sym, 0)) + + +def test_sympy__tensor__tensor__TensorIndex(): + from sympy.tensor.tensor import TensorIndexType, TensorIndex + Lorentz = TensorIndexType('Lorentz', dummy_name='L') + assert _test_args(TensorIndex('i', Lorentz)) + +@SKIP("abstract class") +def test_sympy__tensor__tensor__TensExpr(): + pass + +def test_sympy__tensor__tensor__TensAdd(): + from sympy.tensor.tensor import TensorIndexType, TensorSymmetry, get_symmetric_group_sgs, tensor_indices, TensAdd, tensor_heads + Lorentz = TensorIndexType('Lorentz', dummy_name='L') + a, b = tensor_indices('a,b', Lorentz) + sym = TensorSymmetry(get_symmetric_group_sgs(1)) + p, q = tensor_heads('p,q', [Lorentz], sym) + t1 = p(a) + t2 = q(a) + assert _test_args(TensAdd(t1, t2)) + + +def test_sympy__tensor__tensor__Tensor(): + from sympy.tensor.tensor import TensorIndexType, TensorSymmetry, get_symmetric_group_sgs, tensor_indices, TensorHead + Lorentz = TensorIndexType('Lorentz', dummy_name='L') + a, b = tensor_indices('a,b', Lorentz) + sym = TensorSymmetry(get_symmetric_group_sgs(1)) + p = TensorHead('p', [Lorentz], sym) + assert _test_args(p(a)) + + +def test_sympy__tensor__tensor__TensMul(): + from sympy.tensor.tensor import TensorIndexType, TensorSymmetry, get_symmetric_group_sgs, tensor_indices, tensor_heads + Lorentz = TensorIndexType('Lorentz', dummy_name='L') + a, b = tensor_indices('a,b', Lorentz) + sym = TensorSymmetry(get_symmetric_group_sgs(1)) + p, q = tensor_heads('p, q', [Lorentz], sym) + assert _test_args(3*p(a)*q(b)) + + +def test_sympy__tensor__tensor__TensorElement(): + from sympy.tensor.tensor import TensorIndexType, TensorHead, TensorElement + L = TensorIndexType("L") + A = TensorHead("A", [L, L]) + telem = TensorElement(A(x, y), {x: 1}) + assert _test_args(telem) + +def test_sympy__tensor__tensor__WildTensor(): + from sympy.tensor.tensor import TensorIndexType, WildTensorHead, TensorIndex + Lorentz = TensorIndexType('Lorentz', dummy_name='L') + a = TensorIndex('a', Lorentz) + p = WildTensorHead('p') + assert _test_args(p(a)) + +def test_sympy__tensor__tensor__WildTensorHead(): + from sympy.tensor.tensor import WildTensorHead + assert _test_args(WildTensorHead('p')) + +def test_sympy__tensor__tensor__WildTensorIndex(): + from sympy.tensor.tensor import TensorIndexType, WildTensorIndex + Lorentz = TensorIndexType('Lorentz', dummy_name='L') + assert _test_args(WildTensorIndex('i', Lorentz)) + +def test_sympy__tensor__toperators__PartialDerivative(): + from sympy.tensor.tensor import TensorIndexType, tensor_indices, TensorHead + from sympy.tensor.toperators import PartialDerivative + Lorentz = TensorIndexType('Lorentz', dummy_name='L') + a, b = tensor_indices('a,b', Lorentz) + A = TensorHead("A", [Lorentz]) + assert _test_args(PartialDerivative(A(a), A(b))) + + +def test_as_coeff_add(): + assert (7, (3*x, 4*x**2)) == (7 + 3*x + 4*x**2).as_coeff_add() + + +def test_sympy__geometry__curve__Curve(): + from sympy.geometry.curve import Curve + assert _test_args(Curve((x, 1), (x, 0, 1))) + + +def test_sympy__geometry__point__Point(): + from sympy.geometry.point import Point + assert _test_args(Point(0, 1)) + + +def test_sympy__geometry__point__Point2D(): + from sympy.geometry.point import Point2D + assert _test_args(Point2D(0, 1)) + + +def test_sympy__geometry__point__Point3D(): + from sympy.geometry.point import Point3D + assert _test_args(Point3D(0, 1, 2)) + + +def test_sympy__geometry__ellipse__Ellipse(): + from sympy.geometry.ellipse import Ellipse + assert _test_args(Ellipse((0, 1), 2, 3)) + + +def test_sympy__geometry__ellipse__Circle(): + from sympy.geometry.ellipse import Circle + assert _test_args(Circle((0, 1), 2)) + + +def test_sympy__geometry__parabola__Parabola(): + from sympy.geometry.parabola import Parabola + from sympy.geometry.line import Line + assert _test_args(Parabola((0, 0), Line((2, 3), (4, 3)))) + + +@SKIP("abstract class") +def test_sympy__geometry__line__LinearEntity(): + pass + + +def test_sympy__geometry__line__Line(): + from sympy.geometry.line import Line + assert _test_args(Line((0, 1), (2, 3))) + + +def test_sympy__geometry__line__Ray(): + from sympy.geometry.line import Ray + assert _test_args(Ray((0, 1), (2, 3))) + + +def test_sympy__geometry__line__Segment(): + from sympy.geometry.line import Segment + assert _test_args(Segment((0, 1), (2, 3))) + +@SKIP("abstract class") +def test_sympy__geometry__line__LinearEntity2D(): + pass + + +def test_sympy__geometry__line__Line2D(): + from sympy.geometry.line import Line2D + assert _test_args(Line2D((0, 1), (2, 3))) + + +def test_sympy__geometry__line__Ray2D(): + from sympy.geometry.line import Ray2D + assert _test_args(Ray2D((0, 1), (2, 3))) + + +def test_sympy__geometry__line__Segment2D(): + from sympy.geometry.line import Segment2D + assert _test_args(Segment2D((0, 1), (2, 3))) + + +@SKIP("abstract class") +def test_sympy__geometry__line__LinearEntity3D(): + pass + + +def test_sympy__geometry__line__Line3D(): + from sympy.geometry.line import Line3D + assert _test_args(Line3D((0, 1, 1), (2, 3, 4))) + + +def test_sympy__geometry__line__Segment3D(): + from sympy.geometry.line import Segment3D + assert _test_args(Segment3D((0, 1, 1), (2, 3, 4))) + + +def test_sympy__geometry__line__Ray3D(): + from sympy.geometry.line import Ray3D + assert _test_args(Ray3D((0, 1, 1), (2, 3, 4))) + + +def test_sympy__geometry__plane__Plane(): + from sympy.geometry.plane import Plane + assert _test_args(Plane((1, 1, 1), (-3, 4, -2), (1, 2, 3))) + + +def test_sympy__geometry__polygon__Polygon(): + from sympy.geometry.polygon import Polygon + assert _test_args(Polygon((0, 1), (2, 3), (4, 5), (6, 7))) + + +def test_sympy__geometry__polygon__RegularPolygon(): + from sympy.geometry.polygon import RegularPolygon + assert _test_args(RegularPolygon((0, 1), 2, 3, 4)) + + +def test_sympy__geometry__polygon__Triangle(): + from sympy.geometry.polygon import Triangle + assert _test_args(Triangle((0, 1), (2, 3), (4, 5))) + + +def test_sympy__geometry__entity__GeometryEntity(): + from sympy.geometry.entity import GeometryEntity + from sympy.geometry.point import Point + assert _test_args(GeometryEntity(Point(1, 0), 1, [1, 2])) + +@SKIP("abstract class") +def test_sympy__geometry__entity__GeometrySet(): + pass + +def test_sympy__diffgeom__diffgeom__Manifold(): + from sympy.diffgeom import Manifold + assert _test_args(Manifold('name', 3)) + + +def test_sympy__diffgeom__diffgeom__Patch(): + from sympy.diffgeom import Manifold, Patch + assert _test_args(Patch('name', Manifold('name', 3))) + + +def test_sympy__diffgeom__diffgeom__CoordSystem(): + from sympy.diffgeom import Manifold, Patch, CoordSystem + assert _test_args(CoordSystem('name', Patch('name', Manifold('name', 3)))) + assert _test_args(CoordSystem('name', Patch('name', Manifold('name', 3)), [a, b, c])) + + +def test_sympy__diffgeom__diffgeom__CoordinateSymbol(): + from sympy.diffgeom import Manifold, Patch, CoordSystem, CoordinateSymbol + assert _test_args(CoordinateSymbol(CoordSystem('name', Patch('name', Manifold('name', 3)), [a, b, c]), 0)) + + +def test_sympy__diffgeom__diffgeom__Point(): + from sympy.diffgeom import Manifold, Patch, CoordSystem, Point + assert _test_args(Point( + CoordSystem('name', Patch('name', Manifold('name', 3)), [a, b, c]), [x, y])) + + +def test_sympy__diffgeom__diffgeom__BaseScalarField(): + from sympy.diffgeom import Manifold, Patch, CoordSystem, BaseScalarField + cs = CoordSystem('name', Patch('name', Manifold('name', 3)), [a, b, c]) + assert _test_args(BaseScalarField(cs, 0)) + + +def test_sympy__diffgeom__diffgeom__BaseVectorField(): + from sympy.diffgeom import Manifold, Patch, CoordSystem, BaseVectorField + cs = CoordSystem('name', Patch('name', Manifold('name', 3)), [a, b, c]) + assert _test_args(BaseVectorField(cs, 0)) + + +def test_sympy__diffgeom__diffgeom__Differential(): + from sympy.diffgeom import Manifold, Patch, CoordSystem, BaseScalarField, Differential + cs = CoordSystem('name', Patch('name', Manifold('name', 3)), [a, b, c]) + assert _test_args(Differential(BaseScalarField(cs, 0))) + + +def test_sympy__diffgeom__diffgeom__Commutator(): + from sympy.diffgeom import Manifold, Patch, CoordSystem, BaseVectorField, Commutator + cs = CoordSystem('name', Patch('name', Manifold('name', 3)), [a, b, c]) + cs1 = CoordSystem('name1', Patch('name', Manifold('name', 3)), [a, b, c]) + v = BaseVectorField(cs, 0) + v1 = BaseVectorField(cs1, 0) + assert _test_args(Commutator(v, v1)) + + +def test_sympy__diffgeom__diffgeom__TensorProduct(): + from sympy.diffgeom import Manifold, Patch, CoordSystem, BaseScalarField, Differential, TensorProduct + cs = CoordSystem('name', Patch('name', Manifold('name', 3)), [a, b, c]) + d = Differential(BaseScalarField(cs, 0)) + assert _test_args(TensorProduct(d, d)) + + +def test_sympy__diffgeom__diffgeom__WedgeProduct(): + from sympy.diffgeom import Manifold, Patch, CoordSystem, BaseScalarField, Differential, WedgeProduct + cs = CoordSystem('name', Patch('name', Manifold('name', 3)), [a, b, c]) + d = Differential(BaseScalarField(cs, 0)) + d1 = Differential(BaseScalarField(cs, 1)) + assert _test_args(WedgeProduct(d, d1)) + + +def test_sympy__diffgeom__diffgeom__LieDerivative(): + from sympy.diffgeom import Manifold, Patch, CoordSystem, BaseScalarField, Differential, BaseVectorField, LieDerivative + cs = CoordSystem('name', Patch('name', Manifold('name', 3)), [a, b, c]) + d = Differential(BaseScalarField(cs, 0)) + v = BaseVectorField(cs, 0) + assert _test_args(LieDerivative(v, d)) + + +def test_sympy__diffgeom__diffgeom__BaseCovarDerivativeOp(): + from sympy.diffgeom import Manifold, Patch, CoordSystem, BaseCovarDerivativeOp + cs = CoordSystem('name', Patch('name', Manifold('name', 3)), [a, b, c]) + assert _test_args(BaseCovarDerivativeOp(cs, 0, [[[0, ]*3, ]*3, ]*3)) + + +def test_sympy__diffgeom__diffgeom__CovarDerivativeOp(): + from sympy.diffgeom import Manifold, Patch, CoordSystem, BaseVectorField, CovarDerivativeOp + cs = CoordSystem('name', Patch('name', Manifold('name', 3)), [a, b, c]) + v = BaseVectorField(cs, 0) + _test_args(CovarDerivativeOp(v, [[[0, ]*3, ]*3, ]*3)) + + +def test_sympy__categories__baseclasses__Class(): + from sympy.categories.baseclasses import Class + assert _test_args(Class()) + + +def test_sympy__categories__baseclasses__Object(): + from sympy.categories import Object + assert _test_args(Object("A")) + + +@SKIP("abstract class") +def test_sympy__categories__baseclasses__Morphism(): + pass + + +def test_sympy__categories__baseclasses__IdentityMorphism(): + from sympy.categories import Object, IdentityMorphism + assert _test_args(IdentityMorphism(Object("A"))) + + +def test_sympy__categories__baseclasses__NamedMorphism(): + from sympy.categories import Object, NamedMorphism + assert _test_args(NamedMorphism(Object("A"), Object("B"), "f")) + + +def test_sympy__categories__baseclasses__CompositeMorphism(): + from sympy.categories import Object, NamedMorphism, CompositeMorphism + A = Object("A") + B = Object("B") + C = Object("C") + f = NamedMorphism(A, B, "f") + g = NamedMorphism(B, C, "g") + assert _test_args(CompositeMorphism(f, g)) + + +def test_sympy__categories__baseclasses__Diagram(): + from sympy.categories import Object, NamedMorphism, Diagram + A = Object("A") + B = Object("B") + f = NamedMorphism(A, B, "f") + d = Diagram([f]) + assert _test_args(d) + + +def test_sympy__categories__baseclasses__Category(): + from sympy.categories import Object, NamedMorphism, Diagram, Category + A = Object("A") + B = Object("B") + C = Object("C") + f = NamedMorphism(A, B, "f") + g = NamedMorphism(B, C, "g") + d1 = Diagram([f, g]) + d2 = Diagram([f]) + K = Category("K", commutative_diagrams=[d1, d2]) + assert _test_args(K) + + +def test_sympy__physics__optics__waves__TWave(): + from sympy.physics.optics import TWave + A, f, phi = symbols('A, f, phi') + assert _test_args(TWave(A, f, phi)) + + +def test_sympy__physics__optics__gaussopt__BeamParameter(): + from sympy.physics.optics import BeamParameter + assert _test_args(BeamParameter(530e-9, 1, w=1e-3, n=1)) + + +def test_sympy__physics__optics__medium__Medium(): + from sympy.physics.optics import Medium + assert _test_args(Medium('m')) + + +def test_sympy__physics__optics__medium__MediumN(): + from sympy.physics.optics.medium import Medium + assert _test_args(Medium('m', n=2)) + + +def test_sympy__physics__optics__medium__MediumPP(): + from sympy.physics.optics.medium import Medium + assert _test_args(Medium('m', permittivity=2, permeability=2)) + + +def test_sympy__tensor__array__expressions__array_expressions__ArrayContraction(): + from sympy.tensor.array.expressions.array_expressions import ArrayContraction + from sympy.tensor.indexed import IndexedBase + A = symbols("A", cls=IndexedBase) + assert _test_args(ArrayContraction(A, (0, 1))) + + +def test_sympy__tensor__array__expressions__array_expressions__ArrayDiagonal(): + from sympy.tensor.array.expressions.array_expressions import ArrayDiagonal + from sympy.tensor.indexed import IndexedBase + A = symbols("A", cls=IndexedBase) + assert _test_args(ArrayDiagonal(A, (0, 1))) + + +def test_sympy__tensor__array__expressions__array_expressions__ArrayTensorProduct(): + from sympy.tensor.array.expressions.array_expressions import ArrayTensorProduct + from sympy.tensor.indexed import IndexedBase + A, B = symbols("A B", cls=IndexedBase) + assert _test_args(ArrayTensorProduct(A, B)) + + +def test_sympy__tensor__array__expressions__array_expressions__ArrayAdd(): + from sympy.tensor.array.expressions.array_expressions import ArrayAdd + from sympy.tensor.indexed import IndexedBase + A, B = symbols("A B", cls=IndexedBase) + assert _test_args(ArrayAdd(A, B)) + + +def test_sympy__tensor__array__expressions__array_expressions__PermuteDims(): + from sympy.tensor.array.expressions.array_expressions import PermuteDims + A = MatrixSymbol("A", 4, 4) + assert _test_args(PermuteDims(A, (1, 0))) + + +def test_sympy__tensor__array__expressions__array_expressions__ArrayElementwiseApplyFunc(): + from sympy.tensor.array.expressions.array_expressions import ArraySymbol, ArrayElementwiseApplyFunc + A = ArraySymbol("A", (4,)) + assert _test_args(ArrayElementwiseApplyFunc(exp, A)) + + +def test_sympy__tensor__array__expressions__array_expressions__Reshape(): + from sympy.tensor.array.expressions.array_expressions import ArraySymbol, Reshape + A = ArraySymbol("A", (4,)) + assert _test_args(Reshape(A, (2, 2))) + + +def test_sympy__codegen__ast__Assignment(): + from sympy.codegen.ast import Assignment + assert _test_args(Assignment(x, y)) + + +def test_sympy__codegen__cfunctions__expm1(): + from sympy.codegen.cfunctions import expm1 + assert _test_args(expm1(x)) + + +def test_sympy__codegen__cfunctions__log1p(): + from sympy.codegen.cfunctions import log1p + assert _test_args(log1p(x)) + + +def test_sympy__codegen__cfunctions__exp2(): + from sympy.codegen.cfunctions import exp2 + assert _test_args(exp2(x)) + + +def test_sympy__codegen__cfunctions__log2(): + from sympy.codegen.cfunctions import log2 + assert _test_args(log2(x)) + + +def test_sympy__codegen__cfunctions__fma(): + from sympy.codegen.cfunctions import fma + assert _test_args(fma(x, y, z)) + + +def test_sympy__codegen__cfunctions__log10(): + from sympy.codegen.cfunctions import log10 + assert _test_args(log10(x)) + + +def test_sympy__codegen__cfunctions__Sqrt(): + from sympy.codegen.cfunctions import Sqrt + assert _test_args(Sqrt(x)) + +def test_sympy__codegen__cfunctions__Cbrt(): + from sympy.codegen.cfunctions import Cbrt + assert _test_args(Cbrt(x)) + +def test_sympy__codegen__cfunctions__hypot(): + from sympy.codegen.cfunctions import hypot + assert _test_args(hypot(x, y)) + + +def test_sympy__codegen__cfunctions__isnan(): + from sympy.codegen.cfunctions import isnan + assert _test_args(isnan(x)) + + +def test_sympy__codegen__cfunctions__isinf(): + from sympy.codegen.cfunctions import isinf + assert _test_args(isinf(x)) + + +def test_sympy__codegen__fnodes__FFunction(): + from sympy.codegen.fnodes import FFunction + assert _test_args(FFunction('f')) + + +def test_sympy__codegen__fnodes__F95Function(): + from sympy.codegen.fnodes import F95Function + assert _test_args(F95Function('f')) + + +def test_sympy__codegen__fnodes__isign(): + from sympy.codegen.fnodes import isign + assert _test_args(isign(1, x)) + + +def test_sympy__codegen__fnodes__dsign(): + from sympy.codegen.fnodes import dsign + assert _test_args(dsign(1, x)) + + +def test_sympy__codegen__fnodes__cmplx(): + from sympy.codegen.fnodes import cmplx + assert _test_args(cmplx(x, y)) + + +def test_sympy__codegen__fnodes__kind(): + from sympy.codegen.fnodes import kind + assert _test_args(kind(x)) + + +def test_sympy__codegen__fnodes__merge(): + from sympy.codegen.fnodes import merge + assert _test_args(merge(1, 2, Eq(x, 0))) + + +def test_sympy__codegen__fnodes___literal(): + from sympy.codegen.fnodes import _literal + assert _test_args(_literal(1)) + + +def test_sympy__codegen__fnodes__literal_sp(): + from sympy.codegen.fnodes import literal_sp + assert _test_args(literal_sp(1)) + + +def test_sympy__codegen__fnodes__literal_dp(): + from sympy.codegen.fnodes import literal_dp + assert _test_args(literal_dp(1)) + + +def test_sympy__codegen__matrix_nodes__MatrixSolve(): + from sympy.matrices import MatrixSymbol + from sympy.codegen.matrix_nodes import MatrixSolve + A = MatrixSymbol('A', 3, 3) + v = MatrixSymbol('x', 3, 1) + assert _test_args(MatrixSolve(A, v)) + + +def test_sympy__printing__rust__TypeCast(): + from sympy.printing.rust import TypeCast + from sympy.codegen.ast import real + assert _test_args(TypeCast(x, real)) + + +def test_sympy__printing__rust__float_floor(): + from sympy.printing.rust import float_floor + assert _test_args(float_floor(x)) + + +def test_sympy__printing__rust__float_ceiling(): + from sympy.printing.rust import float_ceiling + assert _test_args(float_ceiling(x)) + + +def test_sympy__vector__coordsysrect__CoordSys3D(): + from sympy.vector.coordsysrect import CoordSys3D + assert _test_args(CoordSys3D('C')) + + +def test_sympy__vector__point__Point(): + from sympy.vector.point import Point + assert _test_args(Point('P')) + + +def test_sympy__vector__basisdependent__BasisDependent(): + #from sympy.vector.basisdependent import BasisDependent + #These classes have been created to maintain an OOP hierarchy + #for Vectors and Dyadics. Are NOT meant to be initialized + pass + + +def test_sympy__vector__basisdependent__BasisDependentMul(): + #from sympy.vector.basisdependent import BasisDependentMul + #These classes have been created to maintain an OOP hierarchy + #for Vectors and Dyadics. Are NOT meant to be initialized + pass + + +def test_sympy__vector__basisdependent__BasisDependentAdd(): + #from sympy.vector.basisdependent import BasisDependentAdd + #These classes have been created to maintain an OOP hierarchy + #for Vectors and Dyadics. Are NOT meant to be initialized + pass + + +def test_sympy__vector__basisdependent__BasisDependentZero(): + #from sympy.vector.basisdependent import BasisDependentZero + #These classes have been created to maintain an OOP hierarchy + #for Vectors and Dyadics. Are NOT meant to be initialized + pass + + +def test_sympy__vector__vector__BaseVector(): + from sympy.vector.vector import BaseVector + from sympy.vector.coordsysrect import CoordSys3D + C = CoordSys3D('C') + assert _test_args(BaseVector(0, C, ' ', ' ')) + + +def test_sympy__vector__vector__VectorAdd(): + from sympy.vector.vector import VectorAdd, VectorMul + from sympy.vector.coordsysrect import CoordSys3D + C = CoordSys3D('C') + from sympy.abc import a, b, c, x, y, z + v1 = a*C.i + b*C.j + c*C.k + v2 = x*C.i + y*C.j + z*C.k + assert _test_args(VectorAdd(v1, v2)) + assert _test_args(VectorMul(x, v1)) + + +def test_sympy__vector__vector__VectorMul(): + from sympy.vector.vector import VectorMul + from sympy.vector.coordsysrect import CoordSys3D + C = CoordSys3D('C') + from sympy.abc import a + assert _test_args(VectorMul(a, C.i)) + + +def test_sympy__vector__vector__VectorZero(): + from sympy.vector.vector import VectorZero + assert _test_args(VectorZero()) + + +def test_sympy__vector__vector__Vector(): + #from sympy.vector.vector import Vector + #Vector is never to be initialized using args + pass + + +def test_sympy__vector__vector__Cross(): + from sympy.vector.vector import Cross + from sympy.vector.coordsysrect import CoordSys3D + C = CoordSys3D('C') + _test_args(Cross(C.i, C.j)) + + +def test_sympy__vector__vector__Dot(): + from sympy.vector.vector import Dot + from sympy.vector.coordsysrect import CoordSys3D + C = CoordSys3D('C') + _test_args(Dot(C.i, C.j)) + + +def test_sympy__vector__dyadic__Dyadic(): + #from sympy.vector.dyadic import Dyadic + #Dyadic is never to be initialized using args + pass + + +def test_sympy__vector__dyadic__BaseDyadic(): + from sympy.vector.dyadic import BaseDyadic + from sympy.vector.coordsysrect import CoordSys3D + C = CoordSys3D('C') + assert _test_args(BaseDyadic(C.i, C.j)) + + +def test_sympy__vector__dyadic__DyadicMul(): + from sympy.vector.dyadic import BaseDyadic, DyadicMul + from sympy.vector.coordsysrect import CoordSys3D + C = CoordSys3D('C') + assert _test_args(DyadicMul(3, BaseDyadic(C.i, C.j))) + + +def test_sympy__vector__dyadic__DyadicAdd(): + from sympy.vector.dyadic import BaseDyadic, DyadicAdd + from sympy.vector.coordsysrect import CoordSys3D + C = CoordSys3D('C') + assert _test_args(2 * DyadicAdd(BaseDyadic(C.i, C.i), + BaseDyadic(C.i, C.j))) + + +def test_sympy__vector__dyadic__DyadicZero(): + from sympy.vector.dyadic import DyadicZero + assert _test_args(DyadicZero()) + + +def test_sympy__vector__deloperator__Del(): + from sympy.vector.deloperator import Del + assert _test_args(Del()) + + +def test_sympy__vector__implicitregion__ImplicitRegion(): + from sympy.vector.implicitregion import ImplicitRegion + from sympy.abc import x, y + assert _test_args(ImplicitRegion((x, y), y**3 - 4*x)) + + +def test_sympy__vector__integrals__ParametricIntegral(): + from sympy.vector.integrals import ParametricIntegral + from sympy.vector.parametricregion import ParametricRegion + from sympy.vector.coordsysrect import CoordSys3D + C = CoordSys3D('C') + assert _test_args(ParametricIntegral(C.y*C.i - 10*C.j,\ + ParametricRegion((x, y), (x, 1, 3), (y, -2, 2)))) + +def test_sympy__vector__operators__Curl(): + from sympy.vector.operators import Curl + from sympy.vector.coordsysrect import CoordSys3D + C = CoordSys3D('C') + assert _test_args(Curl(C.i)) + + +def test_sympy__vector__operators__Laplacian(): + from sympy.vector.operators import Laplacian + from sympy.vector.coordsysrect import CoordSys3D + C = CoordSys3D('C') + assert _test_args(Laplacian(C.i)) + + +def test_sympy__vector__operators__Divergence(): + from sympy.vector.operators import Divergence + from sympy.vector.coordsysrect import CoordSys3D + C = CoordSys3D('C') + assert _test_args(Divergence(C.i)) + + +def test_sympy__vector__operators__Gradient(): + from sympy.vector.operators import Gradient + from sympy.vector.coordsysrect import CoordSys3D + C = CoordSys3D('C') + assert _test_args(Gradient(C.x)) + + +def test_sympy__vector__orienters__Orienter(): + #from sympy.vector.orienters import Orienter + #Not to be initialized + pass + + +def test_sympy__vector__orienters__ThreeAngleOrienter(): + #from sympy.vector.orienters import ThreeAngleOrienter + #Not to be initialized + pass + + +def test_sympy__vector__orienters__AxisOrienter(): + from sympy.vector.orienters import AxisOrienter + from sympy.vector.coordsysrect import CoordSys3D + C = CoordSys3D('C') + assert _test_args(AxisOrienter(x, C.i)) + + +def test_sympy__vector__orienters__BodyOrienter(): + from sympy.vector.orienters import BodyOrienter + assert _test_args(BodyOrienter(x, y, z, '123')) + + +def test_sympy__vector__orienters__SpaceOrienter(): + from sympy.vector.orienters import SpaceOrienter + assert _test_args(SpaceOrienter(x, y, z, '123')) + + +def test_sympy__vector__orienters__QuaternionOrienter(): + from sympy.vector.orienters import QuaternionOrienter + a, b, c, d = symbols('a b c d') + assert _test_args(QuaternionOrienter(a, b, c, d)) + + +def test_sympy__vector__parametricregion__ParametricRegion(): + from sympy.abc import t + from sympy.vector.parametricregion import ParametricRegion + assert _test_args(ParametricRegion((t, t**3), (t, 0, 2))) + + +def test_sympy__vector__scalar__BaseScalar(): + from sympy.vector.scalar import BaseScalar + from sympy.vector.coordsysrect import CoordSys3D + C = CoordSys3D('C') + assert _test_args(BaseScalar(0, C, ' ', ' ')) + + +def test_sympy__physics__wigner__Wigner3j(): + from sympy.physics.wigner import Wigner3j + assert _test_args(Wigner3j(0, 0, 0, 0, 0, 0)) + + +def test_sympy__combinatorics__schur_number__SchurNumber(): + from sympy.combinatorics.schur_number import SchurNumber + assert _test_args(SchurNumber(x)) + + +def test_sympy__combinatorics__perm_groups__SymmetricPermutationGroup(): + from sympy.combinatorics.perm_groups import SymmetricPermutationGroup + assert _test_args(SymmetricPermutationGroup(5)) + + +def test_sympy__combinatorics__perm_groups__Coset(): + from sympy.combinatorics.permutations import Permutation + from sympy.combinatorics.perm_groups import PermutationGroup, Coset + a = Permutation(1, 2) + b = Permutation(0, 1) + G = PermutationGroup([a, b]) + assert _test_args(Coset(a, G)) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_arit.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_arit.py new file mode 100644 index 0000000000000000000000000000000000000000..251fc4c4234cbd6e82adc9a24ccea536ed6a37b7 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_arit.py @@ -0,0 +1,2489 @@ +from sympy.core.add import Add +from sympy.core.basic import Basic +from sympy.core.mod import Mod +from sympy.core.mul import Mul +from sympy.core.numbers import (Float, I, Integer, Rational, comp, nan, + oo, pi, zoo) +from sympy.core.power import Pow +from sympy.core.singleton import S +from sympy.core.symbol import (Dummy, Symbol, symbols) +from sympy.core.sympify import sympify +from sympy.functions.combinatorial.factorials import factorial +from sympy.functions.elementary.complexes import (im, re, sign) +from sympy.functions.elementary.exponential import (exp, log) +from sympy.functions.elementary.integers import floor +from sympy.functions.elementary.miscellaneous import (Max, sqrt) +from sympy.functions.elementary.trigonometric import (atan, cos, sin) +from sympy.integrals.integrals import Integral +from sympy.polys.polytools import Poly +from sympy.sets.sets import FiniteSet + +from sympy.core.parameters import distribute, evaluate +from sympy.core.expr import unchanged +from sympy.utilities.iterables import permutations +from sympy.testing.pytest import XFAIL, raises, warns +from sympy.utilities.exceptions import SymPyDeprecationWarning +from sympy.core.random import verify_numerically +from sympy.functions.elementary.trigonometric import asin + +from itertools import product + +a, c, x, y, z = symbols('a,c,x,y,z') +b = Symbol("b", positive=True) + + +def same_and_same_prec(a, b): + # stricter matching for Floats + return a == b and a._prec == b._prec + + +def test_bug1(): + assert re(x) != x + x.series(x, 0, 1) + assert re(x) != x + + +def test_Symbol(): + e = a*b + assert e == a*b + assert a*b*b == a*b**2 + assert a*b*b + c == c + a*b**2 + assert a*b*b - c == -c + a*b**2 + + x = Symbol('x', complex=True, real=False) + assert x.is_imaginary is None # could be I or 1 + I + x = Symbol('x', complex=True, imaginary=False) + assert x.is_real is None # could be 1 or 1 + I + x = Symbol('x', real=True) + assert x.is_complex + x = Symbol('x', imaginary=True) + assert x.is_complex + x = Symbol('x', real=False, imaginary=False) + assert x.is_complex is None # might be a non-number + + +def test_arit0(): + p = Rational(5) + e = a*b + assert e == a*b + e = a*b + b*a + assert e == 2*a*b + e = a*b + b*a + a*b + p*b*a + assert e == 8*a*b + e = a*b + b*a + a*b + p*b*a + a + assert e == a + 8*a*b + e = a + a + assert e == 2*a + e = a + b + a + assert e == b + 2*a + e = a + b*b + a + b*b + assert e == 2*a + 2*b**2 + e = a + Rational(2) + b*b + a + b*b + p + assert e == 7 + 2*a + 2*b**2 + e = (a + b*b + a + b*b)*p + assert e == 5*(2*a + 2*b**2) + e = (a*b*c + c*b*a + b*a*c)*p + assert e == 15*a*b*c + e = (a*b*c + c*b*a + b*a*c)*p - Rational(15)*a*b*c + assert e == Rational(0) + e = Rational(50)*(a - a) + assert e == Rational(0) + e = b*a - b - a*b + b + assert e == Rational(0) + e = a*b + c**p + assert e == a*b + c**5 + e = a/b + assert e == a*b**(-1) + e = a*2*2 + assert e == 4*a + e = 2 + a*2/2 + assert e == 2 + a + e = 2 - a - 2 + assert e == -a + e = 2*a*2 + assert e == 4*a + e = 2/a/2 + assert e == a**(-1) + e = 2**a**2 + assert e == 2**(a**2) + e = -(1 + a) + assert e == -1 - a + e = S.Half*(1 + a) + assert e == S.Half + a/2 + + +def test_div(): + e = a/b + assert e == a*b**(-1) + e = a/b + c/2 + assert e == a*b**(-1) + Rational(1)/2*c + e = (1 - b)/(b - 1) + assert e == (1 + -b)*((-1) + b)**(-1) + + +def test_pow_arit(): + n1 = Rational(1) + n2 = Rational(2) + n5 = Rational(5) + e = a*a + assert e == a**2 + e = a*a*a + assert e == a**3 + e = a*a*a*a**Rational(6) + assert e == a**9 + e = a*a*a*a**Rational(6) - a**Rational(9) + assert e == Rational(0) + e = a**(b - b) + assert e == Rational(1) + e = (a + Rational(1) - a)**b + assert e == Rational(1) + + e = (a + b + c)**n2 + assert e == (a + b + c)**2 + assert e.expand() == 2*b*c + 2*a*c + 2*a*b + a**2 + c**2 + b**2 + + e = (a + b)**n2 + assert e == (a + b)**2 + assert e.expand() == 2*a*b + a**2 + b**2 + + e = (a + b)**(n1/n2) + assert e == sqrt(a + b) + assert e.expand() == sqrt(a + b) + + n = n5**(n1/n2) + assert n == sqrt(5) + e = n*a*b - n*b*a + assert e == Rational(0) + e = n*a*b + n*b*a + assert e == 2*a*b*sqrt(5) + assert e.diff(a) == 2*b*sqrt(5) + assert e.diff(a) == 2*b*sqrt(5) + e = a/b**2 + assert e == a*b**(-2) + + assert sqrt(2*(1 + sqrt(2))) == (2*(1 + 2**S.Half))**S.Half + + x = Symbol('x') + y = Symbol('y') + + assert ((x*y)**3).expand() == y**3 * x**3 + assert ((x*y)**-3).expand() == y**-3 * x**-3 + + assert (x**5*(3*x)**(3)).expand() == 27 * x**8 + assert (x**5*(-3*x)**(3)).expand() == -27 * x**8 + assert (x**5*(3*x)**(-3)).expand() == x**2 * Rational(1, 27) + assert (x**5*(-3*x)**(-3)).expand() == x**2 * Rational(-1, 27) + + # expand_power_exp + _x = Symbol('x', zero=False) + _y = Symbol('y', zero=False) + assert (_x**(y**(x + exp(x + y)) + z)).expand(deep=False) == \ + _x**z*_x**(y**(x + exp(x + y))) + assert (_x**(_y**(x + exp(x + y)) + z)).expand() == \ + _x**z*_x**(_y**x*_y**(exp(x)*exp(y))) + + n = Symbol('n', even=False) + k = Symbol('k', even=True) + o = Symbol('o', odd=True) + + assert unchanged(Pow, -1, x) + assert unchanged(Pow, -1, n) + assert (-2)**k == 2**k + assert (-1)**k == 1 + assert (-1)**o == -1 + + +def test_pow2(): + # x**(2*y) is always (x**y)**2 but is only (x**2)**y if + # x.is_positive or y.is_integer + # let x = 1 to see why the following are not true. + assert (-x)**Rational(2, 3) != x**Rational(2, 3) + assert (-x)**Rational(5, 7) != -x**Rational(5, 7) + assert ((-x)**2)**Rational(1, 3) != ((-x)**Rational(1, 3))**2 + assert sqrt(x**2) != x + + +def test_pow3(): + assert sqrt(2)**3 == 2 * sqrt(2) + assert sqrt(2)**3 == sqrt(8) + + +def test_mod_pow(): + for s, t, u, v in [(4, 13, 497, 445), (4, -3, 497, 365), + (3.2, 2.1, 1.9, 0.1031015682350942), (S(3)/2, 5, S(5)/6, S(3)/32)]: + assert pow(S(s), t, u) == v + assert pow(S(s), S(t), u) == v + assert pow(S(s), t, S(u)) == v + assert pow(S(s), S(t), S(u)) == v + assert pow(S(2), S(10000000000), S(3)) == 1 + assert pow(x, y, z) == x**y%z + raises(TypeError, lambda: pow(S(4), "13", 497)) + raises(TypeError, lambda: pow(S(4), 13, "497")) + + +def test_pow_E(): + assert 2**(y/log(2)) == S.Exp1**y + assert 2**(y/log(2)/3) == S.Exp1**(y/3) + assert 3**(1/log(-3)) != S.Exp1 + assert (3 + 2*I)**(1/(log(-3 - 2*I) + I*pi)) == S.Exp1 + assert (4 + 2*I)**(1/(log(-4 - 2*I) + I*pi)) == S.Exp1 + assert (3 + 2*I)**(1/(log(-3 - 2*I, 3)/2 + I*pi/log(3)/2)) == 9 + assert (3 + 2*I)**(1/(log(3 + 2*I, 3)/2)) == 9 + # every time tests are run they will affirm with a different random + # value that this identity holds + while 1: + b = x._random() + r, i = b.as_real_imag() + if i: + break + assert verify_numerically(b**(1/(log(-b) + sign(i)*I*pi).n()), S.Exp1) + + +def test_pow_issue_3516(): + assert 4**Rational(1, 4) == sqrt(2) + + +def test_pow_im(): + for m in (-2, -1, 2): + for d in (3, 4, 5): + b = m*I + for i in range(1, 4*d + 1): + e = Rational(i, d) + assert (b**e - b.n()**e.n()).n(2, chop=1e-10) == 0 + + e = Rational(7, 3) + assert (2*x*I)**e == 4*2**Rational(1, 3)*(I*x)**e # same as Wolfram Alpha + im = symbols('im', imaginary=True) + assert (2*im*I)**e == 4*2**Rational(1, 3)*(I*im)**e + + args = [I, I, I, I, 2] + e = Rational(1, 3) + ans = 2**e + assert Mul(*args, evaluate=False)**e == ans + assert Mul(*args)**e == ans + args = [I, I, I, 2] + e = Rational(1, 3) + ans = 2**e*(-I)**e + assert Mul(*args, evaluate=False)**e == ans + assert Mul(*args)**e == ans + args.append(-3) + ans = (6*I)**e + assert Mul(*args, evaluate=False)**e == ans + assert Mul(*args)**e == ans + args.append(-1) + ans = (-6*I)**e + assert Mul(*args, evaluate=False)**e == ans + assert Mul(*args)**e == ans + + args = [I, I, 2] + e = Rational(1, 3) + ans = (-2)**e + assert Mul(*args, evaluate=False)**e == ans + assert Mul(*args)**e == ans + args.append(-3) + ans = (6)**e + assert Mul(*args, evaluate=False)**e == ans + assert Mul(*args)**e == ans + args.append(-1) + ans = (-6)**e + assert Mul(*args, evaluate=False)**e == ans + assert Mul(*args)**e == ans + assert Mul(Pow(-1, Rational(3, 2), evaluate=False), I, I) == I + assert Mul(I*Pow(I, S.Half, evaluate=False)) == sqrt(I)*I + + +def test_real_mul(): + assert Float(0) * pi * x == 0 + assert set((Float(1) * pi * x).args) == {Float(1), pi, x} + + +def test_ncmul(): + A = Symbol("A", commutative=False) + B = Symbol("B", commutative=False) + C = Symbol("C", commutative=False) + assert A*B != B*A + assert A*B*C != C*B*A + assert A*b*B*3*C == 3*b*A*B*C + assert A*b*B*3*C != 3*b*B*A*C + assert A*b*B*3*C == 3*A*B*C*b + + assert A + B == B + A + assert (A + B)*C != C*(A + B) + + assert C*(A + B)*C != C*C*(A + B) + + assert A*A == A**2 + assert (A + B)*(A + B) == (A + B)**2 + + assert A**-1 * A == 1 + assert A/A == 1 + assert A/(A**2) == 1/A + + assert A/(1 + A) == A/(1 + A) + + assert set((A + B + 2*(A + B)).args) == \ + {A, B, 2*(A + B)} + + +def test_mul_add_identity(): + m = Mul(1, 2) + assert isinstance(m, Rational) and m.p == 2 and m.q == 1 + m = Mul(1, 2, evaluate=False) + assert isinstance(m, Mul) and m.args == (1, 2) + m = Mul(0, 1) + assert m is S.Zero + m = Mul(0, 1, evaluate=False) + assert isinstance(m, Mul) and m.args == (0, 1) + m = Add(0, 1) + assert m is S.One + m = Add(0, 1, evaluate=False) + assert isinstance(m, Add) and m.args == (0, 1) + + +def test_ncpow(): + x = Symbol('x', commutative=False) + y = Symbol('y', commutative=False) + z = Symbol('z', commutative=False) + a = Symbol('a') + b = Symbol('b') + c = Symbol('c') + + assert (x**2)*(y**2) != (y**2)*(x**2) + assert (x**-2)*y != y*(x**2) + assert 2**x*2**y != 2**(x + y) + assert 2**x*2**y*2**z != 2**(x + y + z) + assert 2**x*2**(2*x) == 2**(3*x) + assert 2**x*2**(2*x)*2**x == 2**(4*x) + assert exp(x)*exp(y) != exp(y)*exp(x) + assert exp(x)*exp(y)*exp(z) != exp(y)*exp(x)*exp(z) + assert exp(x)*exp(y)*exp(z) != exp(x + y + z) + assert x**a*x**b != x**(a + b) + assert x**a*x**b*x**c != x**(a + b + c) + assert x**3*x**4 == x**7 + assert x**3*x**4*x**2 == x**9 + assert x**a*x**(4*a) == x**(5*a) + assert x**a*x**(4*a)*x**a == x**(6*a) + + +def test_powerbug(): + x = Symbol("x") + assert x**1 != (-x)**1 + assert x**2 == (-x)**2 + assert x**3 != (-x)**3 + assert x**4 == (-x)**4 + assert x**5 != (-x)**5 + assert x**6 == (-x)**6 + + assert x**128 == (-x)**128 + assert x**129 != (-x)**129 + + assert (2*x)**2 == (-2*x)**2 + + +def test_Mul_doesnt_expand_exp(): + x = Symbol('x') + y = Symbol('y') + assert unchanged(Mul, exp(x), exp(y)) + assert unchanged(Mul, 2**x, 2**y) + assert x**2*x**3 == x**5 + assert 2**x*3**x == 6**x + assert x**(y)*x**(2*y) == x**(3*y) + assert sqrt(2)*sqrt(2) == 2 + assert 2**x*2**(2*x) == 2**(3*x) + assert sqrt(2)*2**Rational(1, 4)*5**Rational(3, 4) == 10**Rational(3, 4) + assert (x**(-log(5)/log(3))*x)/(x*x**( - log(5)/log(3))) == sympify(1) + + +def test_Mul_is_integer(): + k = Symbol('k', integer=True) + n = Symbol('n', integer=True) + nr = Symbol('nr', rational=False) + ir = Symbol('ir', irrational=True) + nz = Symbol('nz', integer=True, zero=False) + e = Symbol('e', even=True) + o = Symbol('o', odd=True) + i2 = Symbol('2', prime=True, even=True) + + assert (k/3).is_integer is None + assert (nz/3).is_integer is None + assert (nr/3).is_integer is False + assert (ir/3).is_integer is False + assert (x*k*n).is_integer is None + assert (e/2).is_integer is True + assert (e**2/2).is_integer is True + assert (2/k).is_integer is None + assert (2/k**2).is_integer is None + assert ((-1)**k*n).is_integer is True + assert (3*k*e/2).is_integer is True + assert (2*k*e/3).is_integer is None + assert (e/o).is_integer is None + assert (o/e).is_integer is False + assert (o/i2).is_integer is False + assert Mul(k, 1/k, evaluate=False).is_integer is None + assert Mul(2., S.Half, evaluate=False).is_integer is None + assert (2*sqrt(k)).is_integer is None + assert (2*k**n).is_integer is None + + s = 2**2**2**Pow(2, 1000, evaluate=False) + m = Mul(s, s, evaluate=False) + assert m.is_integer + + # broken in 1.6 and before, see #20161 + xq = Symbol('xq', rational=True) + yq = Symbol('yq', rational=True) + assert (xq*yq).is_integer is None + e_20161 = Mul(-1,Mul(1,Pow(2,-1,evaluate=False),evaluate=False),evaluate=False) + assert e_20161.is_integer is not True # expand(e_20161) -> -1/2, but no need to see that in the assumption without evaluation + + +def test_Add_Mul_is_integer(): + x = Symbol('x') + + k = Symbol('k', integer=True) + n = Symbol('n', integer=True) + nk = Symbol('nk', integer=False) + nr = Symbol('nr', rational=False) + nz = Symbol('nz', integer=True, zero=False) + + assert (-nk).is_integer is None + assert (-nr).is_integer is False + assert (2*k).is_integer is True + assert (-k).is_integer is True + + assert (k + nk).is_integer is False + assert (k + n).is_integer is True + assert (k + x).is_integer is None + assert (k + n*x).is_integer is None + assert (k + n/3).is_integer is None + assert (k + nz/3).is_integer is None + assert (k + nr/3).is_integer is False + + assert ((1 + sqrt(3))*(-sqrt(3) + 1)).is_integer is not False + assert (1 + (1 + sqrt(3))*(-sqrt(3) + 1)).is_integer is not False + + +def test_Add_Mul_is_finite(): + x = Symbol('x', extended_real=True, finite=False) + + assert sin(x).is_finite is True + assert (x*sin(x)).is_finite is None + assert (x*atan(x)).is_finite is False + assert (1024*sin(x)).is_finite is True + assert (sin(x)*exp(x)).is_finite is None + assert (sin(x)*cos(x)).is_finite is True + assert (x*sin(x)*exp(x)).is_finite is None + + assert (sin(x) - 67).is_finite is True + assert (sin(x) + exp(x)).is_finite is not True + assert (1 + x).is_finite is False + assert (1 + x**2 + (1 + x)*(1 - x)).is_finite is None + assert (sqrt(2)*(1 + x)).is_finite is False + assert (sqrt(2)*(1 + x)*(1 - x)).is_finite is False + + +def test_Mul_is_even_odd(): + x = Symbol('x', integer=True) + y = Symbol('y', integer=True) + + k = Symbol('k', odd=True) + n = Symbol('n', odd=True) + m = Symbol('m', even=True) + + assert (2*x).is_even is True + assert (2*x).is_odd is False + + assert (3*x).is_even is None + assert (3*x).is_odd is None + + assert (k/3).is_integer is None + assert (k/3).is_even is None + assert (k/3).is_odd is None + + assert (2*n).is_even is True + assert (2*n).is_odd is False + + assert (2*m).is_even is True + assert (2*m).is_odd is False + + assert (-n).is_even is False + assert (-n).is_odd is True + + assert (k*n).is_even is False + assert (k*n).is_odd is True + + assert (k*m).is_even is True + assert (k*m).is_odd is False + + assert (k*n*m).is_even is True + assert (k*n*m).is_odd is False + + assert (k*m*x).is_even is True + assert (k*m*x).is_odd is False + + # issue 6791: + assert (x/2).is_integer is None + assert (k/2).is_integer is False + assert (m/2).is_integer is True + + assert (x*y).is_even is None + assert (x*x).is_even is None + assert (x*(x + k)).is_even is True + assert (x*(x + m)).is_even is None + + assert (x*y).is_odd is None + assert (x*x).is_odd is None + assert (x*(x + k)).is_odd is False + assert (x*(x + m)).is_odd is None + + # issue 8648 + assert (m**2/2).is_even + assert (m**2/3).is_even is False + assert (2/m**2).is_odd is False + assert (2/m).is_odd is None + + +@XFAIL +def test_evenness_in_ternary_integer_product_with_odd(): + # Tests that oddness inference is independent of term ordering. + # Term ordering at the point of testing depends on SymPy's symbol order, so + # we try to force a different order by modifying symbol names. + x = Symbol('x', integer=True) + y = Symbol('y', integer=True) + k = Symbol('k', odd=True) + assert (x*y*(y + k)).is_even is True + assert (y*x*(x + k)).is_even is True + + +def test_evenness_in_ternary_integer_product_with_even(): + x = Symbol('x', integer=True) + y = Symbol('y', integer=True) + m = Symbol('m', even=True) + assert (x*y*(y + m)).is_even is None + + +@XFAIL +def test_oddness_in_ternary_integer_product_with_odd(): + # Tests that oddness inference is independent of term ordering. + # Term ordering at the point of testing depends on SymPy's symbol order, so + # we try to force a different order by modifying symbol names. + x = Symbol('x', integer=True) + y = Symbol('y', integer=True) + k = Symbol('k', odd=True) + assert (x*y*(y + k)).is_odd is False + assert (y*x*(x + k)).is_odd is False + + +def test_oddness_in_ternary_integer_product_with_even(): + x = Symbol('x', integer=True) + y = Symbol('y', integer=True) + m = Symbol('m', even=True) + assert (x*y*(y + m)).is_odd is None + + +def test_Mul_is_rational(): + x = Symbol('x') + n = Symbol('n', integer=True) + m = Symbol('m', integer=True, nonzero=True) + + assert (n/m).is_rational is True + assert (x/pi).is_rational is None + assert (x/n).is_rational is None + assert (m/pi).is_rational is False + + r = Symbol('r', rational=True) + assert (pi*r).is_rational is None + + # issue 8008 + z = Symbol('z', zero=True) + i = Symbol('i', imaginary=True) + assert (z*i).is_rational is True + bi = Symbol('i', imaginary=True, finite=True) + assert (z*bi).is_zero is True + + +def test_Add_is_rational(): + x = Symbol('x') + n = Symbol('n', rational=True) + m = Symbol('m', rational=True) + + assert (n + m).is_rational is True + assert (x + pi).is_rational is None + assert (x + n).is_rational is None + assert (n + pi).is_rational is False + + +def test_Add_is_even_odd(): + x = Symbol('x', integer=True) + + k = Symbol('k', odd=True) + n = Symbol('n', odd=True) + m = Symbol('m', even=True) + + assert (k + 7).is_even is True + assert (k + 7).is_odd is False + + assert (-k + 7).is_even is True + assert (-k + 7).is_odd is False + + assert (k - 12).is_even is False + assert (k - 12).is_odd is True + + assert (-k - 12).is_even is False + assert (-k - 12).is_odd is True + + assert (k + n).is_even is True + assert (k + n).is_odd is False + + assert (k + m).is_even is False + assert (k + m).is_odd is True + + assert (k + n + m).is_even is True + assert (k + n + m).is_odd is False + + assert (k + n + x + m).is_even is None + assert (k + n + x + m).is_odd is None + + +def test_Mul_is_negative_positive(): + x = Symbol('x', real=True) + y = Symbol('y', extended_real=False, complex=True) + z = Symbol('z', zero=True) + + e = 2*z + assert e.is_Mul and e.is_positive is False and e.is_negative is False + + neg = Symbol('neg', negative=True) + pos = Symbol('pos', positive=True) + nneg = Symbol('nneg', nonnegative=True) + npos = Symbol('npos', nonpositive=True) + + assert neg.is_negative is True + assert (-neg).is_negative is False + assert (2*neg).is_negative is True + + assert (2*pos)._eval_is_extended_negative() is False + assert (2*pos).is_negative is False + + assert pos.is_negative is False + assert (-pos).is_negative is True + assert (2*pos).is_negative is False + + assert (pos*neg).is_negative is True + assert (2*pos*neg).is_negative is True + assert (-pos*neg).is_negative is False + assert (pos*neg*y).is_negative is False # y.is_real=F; !real -> !neg + + assert nneg.is_negative is False + assert (-nneg).is_negative is None + assert (2*nneg).is_negative is False + + assert npos.is_negative is None + assert (-npos).is_negative is False + assert (2*npos).is_negative is None + + assert (nneg*npos).is_negative is None + + assert (neg*nneg).is_negative is None + assert (neg*npos).is_negative is False + + assert (pos*nneg).is_negative is False + assert (pos*npos).is_negative is None + + assert (npos*neg*nneg).is_negative is False + assert (npos*pos*nneg).is_negative is None + + assert (-npos*neg*nneg).is_negative is None + assert (-npos*pos*nneg).is_negative is False + + assert (17*npos*neg*nneg).is_negative is False + assert (17*npos*pos*nneg).is_negative is None + + assert (neg*npos*pos*nneg).is_negative is False + + assert (x*neg).is_negative is None + assert (nneg*npos*pos*x*neg).is_negative is None + + assert neg.is_positive is False + assert (-neg).is_positive is True + assert (2*neg).is_positive is False + + assert pos.is_positive is True + assert (-pos).is_positive is False + assert (2*pos).is_positive is True + + assert (pos*neg).is_positive is False + assert (2*pos*neg).is_positive is False + assert (-pos*neg).is_positive is True + assert (-pos*neg*y).is_positive is False # y.is_real=F; !real -> !neg + + assert nneg.is_positive is None + assert (-nneg).is_positive is False + assert (2*nneg).is_positive is None + + assert npos.is_positive is False + assert (-npos).is_positive is None + assert (2*npos).is_positive is False + + assert (nneg*npos).is_positive is False + + assert (neg*nneg).is_positive is False + assert (neg*npos).is_positive is None + + assert (pos*nneg).is_positive is None + assert (pos*npos).is_positive is False + + assert (npos*neg*nneg).is_positive is None + assert (npos*pos*nneg).is_positive is False + + assert (-npos*neg*nneg).is_positive is False + assert (-npos*pos*nneg).is_positive is None + + assert (17*npos*neg*nneg).is_positive is None + assert (17*npos*pos*nneg).is_positive is False + + assert (neg*npos*pos*nneg).is_positive is None + + assert (x*neg).is_positive is None + assert (nneg*npos*pos*x*neg).is_positive is None + + +def test_Mul_is_negative_positive_2(): + a = Symbol('a', nonnegative=True) + b = Symbol('b', nonnegative=True) + c = Symbol('c', nonpositive=True) + d = Symbol('d', nonpositive=True) + + assert (a*b).is_nonnegative is True + assert (a*b).is_negative is False + assert (a*b).is_zero is None + assert (a*b).is_positive is None + + assert (c*d).is_nonnegative is True + assert (c*d).is_negative is False + assert (c*d).is_zero is None + assert (c*d).is_positive is None + + assert (a*c).is_nonpositive is True + assert (a*c).is_positive is False + assert (a*c).is_zero is None + assert (a*c).is_negative is None + + +def test_Mul_is_nonpositive_nonnegative(): + x = Symbol('x', real=True) + + k = Symbol('k', negative=True) + n = Symbol('n', positive=True) + u = Symbol('u', nonnegative=True) + v = Symbol('v', nonpositive=True) + + assert k.is_nonpositive is True + assert (-k).is_nonpositive is False + assert (2*k).is_nonpositive is True + + assert n.is_nonpositive is False + assert (-n).is_nonpositive is True + assert (2*n).is_nonpositive is False + + assert (n*k).is_nonpositive is True + assert (2*n*k).is_nonpositive is True + assert (-n*k).is_nonpositive is False + + assert u.is_nonpositive is None + assert (-u).is_nonpositive is True + assert (2*u).is_nonpositive is None + + assert v.is_nonpositive is True + assert (-v).is_nonpositive is None + assert (2*v).is_nonpositive is True + + assert (u*v).is_nonpositive is True + + assert (k*u).is_nonpositive is True + assert (k*v).is_nonpositive is None + + assert (n*u).is_nonpositive is None + assert (n*v).is_nonpositive is True + + assert (v*k*u).is_nonpositive is None + assert (v*n*u).is_nonpositive is True + + assert (-v*k*u).is_nonpositive is True + assert (-v*n*u).is_nonpositive is None + + assert (17*v*k*u).is_nonpositive is None + assert (17*v*n*u).is_nonpositive is True + + assert (k*v*n*u).is_nonpositive is None + + assert (x*k).is_nonpositive is None + assert (u*v*n*x*k).is_nonpositive is None + + assert k.is_nonnegative is False + assert (-k).is_nonnegative is True + assert (2*k).is_nonnegative is False + + assert n.is_nonnegative is True + assert (-n).is_nonnegative is False + assert (2*n).is_nonnegative is True + + assert (n*k).is_nonnegative is False + assert (2*n*k).is_nonnegative is False + assert (-n*k).is_nonnegative is True + + assert u.is_nonnegative is True + assert (-u).is_nonnegative is None + assert (2*u).is_nonnegative is True + + assert v.is_nonnegative is None + assert (-v).is_nonnegative is True + assert (2*v).is_nonnegative is None + + assert (u*v).is_nonnegative is None + + assert (k*u).is_nonnegative is None + assert (k*v).is_nonnegative is True + + assert (n*u).is_nonnegative is True + assert (n*v).is_nonnegative is None + + assert (v*k*u).is_nonnegative is True + assert (v*n*u).is_nonnegative is None + + assert (-v*k*u).is_nonnegative is None + assert (-v*n*u).is_nonnegative is True + + assert (17*v*k*u).is_nonnegative is True + assert (17*v*n*u).is_nonnegative is None + + assert (k*v*n*u).is_nonnegative is True + + assert (x*k).is_nonnegative is None + assert (u*v*n*x*k).is_nonnegative is None + + +def test_Add_is_negative_positive(): + x = Symbol('x', real=True) + + k = Symbol('k', negative=True) + n = Symbol('n', positive=True) + u = Symbol('u', nonnegative=True) + v = Symbol('v', nonpositive=True) + + assert (k - 2).is_negative is True + assert (k + 17).is_negative is None + assert (-k - 5).is_negative is None + assert (-k + 123).is_negative is False + + assert (k - n).is_negative is True + assert (k + n).is_negative is None + assert (-k - n).is_negative is None + assert (-k + n).is_negative is False + + assert (k - n - 2).is_negative is True + assert (k + n + 17).is_negative is None + assert (-k - n - 5).is_negative is None + assert (-k + n + 123).is_negative is False + + assert (-2*k + 123*n + 17).is_negative is False + + assert (k + u).is_negative is None + assert (k + v).is_negative is True + assert (n + u).is_negative is False + assert (n + v).is_negative is None + + assert (u - v).is_negative is False + assert (u + v).is_negative is None + assert (-u - v).is_negative is None + assert (-u + v).is_negative is None + + assert (u - v + n + 2).is_negative is False + assert (u + v + n + 2).is_negative is None + assert (-u - v + n + 2).is_negative is None + assert (-u + v + n + 2).is_negative is None + + assert (k + x).is_negative is None + assert (k + x - n).is_negative is None + + assert (k - 2).is_positive is False + assert (k + 17).is_positive is None + assert (-k - 5).is_positive is None + assert (-k + 123).is_positive is True + + assert (k - n).is_positive is False + assert (k + n).is_positive is None + assert (-k - n).is_positive is None + assert (-k + n).is_positive is True + + assert (k - n - 2).is_positive is False + assert (k + n + 17).is_positive is None + assert (-k - n - 5).is_positive is None + assert (-k + n + 123).is_positive is True + + assert (-2*k + 123*n + 17).is_positive is True + + assert (k + u).is_positive is None + assert (k + v).is_positive is False + assert (n + u).is_positive is True + assert (n + v).is_positive is None + + assert (u - v).is_positive is None + assert (u + v).is_positive is None + assert (-u - v).is_positive is None + assert (-u + v).is_positive is False + + assert (u - v - n - 2).is_positive is None + assert (u + v - n - 2).is_positive is None + assert (-u - v - n - 2).is_positive is None + assert (-u + v - n - 2).is_positive is False + + assert (n + x).is_positive is None + assert (n + x - k).is_positive is None + + z = (-3 - sqrt(5) + (-sqrt(10)/2 - sqrt(2)/2)**2) + assert z.is_zero + z = sqrt(1 + sqrt(3)) + sqrt(3 + 3*sqrt(3)) - sqrt(10 + 6*sqrt(3)) + assert z.is_zero + + +def test_Add_is_nonpositive_nonnegative(): + x = Symbol('x', real=True) + + k = Symbol('k', negative=True) + n = Symbol('n', positive=True) + u = Symbol('u', nonnegative=True) + v = Symbol('v', nonpositive=True) + + assert (u - 2).is_nonpositive is None + assert (u + 17).is_nonpositive is False + assert (-u - 5).is_nonpositive is True + assert (-u + 123).is_nonpositive is None + + assert (u - v).is_nonpositive is None + assert (u + v).is_nonpositive is None + assert (-u - v).is_nonpositive is None + assert (-u + v).is_nonpositive is True + + assert (u - v - 2).is_nonpositive is None + assert (u + v + 17).is_nonpositive is None + assert (-u - v - 5).is_nonpositive is None + assert (-u + v - 123).is_nonpositive is True + + assert (-2*u + 123*v - 17).is_nonpositive is True + + assert (k + u).is_nonpositive is None + assert (k + v).is_nonpositive is True + assert (n + u).is_nonpositive is False + assert (n + v).is_nonpositive is None + + assert (k - n).is_nonpositive is True + assert (k + n).is_nonpositive is None + assert (-k - n).is_nonpositive is None + assert (-k + n).is_nonpositive is False + + assert (k - n + u + 2).is_nonpositive is None + assert (k + n + u + 2).is_nonpositive is None + assert (-k - n + u + 2).is_nonpositive is None + assert (-k + n + u + 2).is_nonpositive is False + + assert (u + x).is_nonpositive is None + assert (v - x - n).is_nonpositive is None + + assert (u - 2).is_nonnegative is None + assert (u + 17).is_nonnegative is True + assert (-u - 5).is_nonnegative is False + assert (-u + 123).is_nonnegative is None + + assert (u - v).is_nonnegative is True + assert (u + v).is_nonnegative is None + assert (-u - v).is_nonnegative is None + assert (-u + v).is_nonnegative is None + + assert (u - v + 2).is_nonnegative is True + assert (u + v + 17).is_nonnegative is None + assert (-u - v - 5).is_nonnegative is None + assert (-u + v - 123).is_nonnegative is False + + assert (2*u - 123*v + 17).is_nonnegative is True + + assert (k + u).is_nonnegative is None + assert (k + v).is_nonnegative is False + assert (n + u).is_nonnegative is True + assert (n + v).is_nonnegative is None + + assert (k - n).is_nonnegative is False + assert (k + n).is_nonnegative is None + assert (-k - n).is_nonnegative is None + assert (-k + n).is_nonnegative is True + + assert (k - n - u - 2).is_nonnegative is False + assert (k + n - u - 2).is_nonnegative is None + assert (-k - n - u - 2).is_nonnegative is None + assert (-k + n - u - 2).is_nonnegative is None + + assert (u - x).is_nonnegative is None + assert (v + x + n).is_nonnegative is None + + +def test_Pow_is_integer(): + x = Symbol('x') + + k = Symbol('k', integer=True) + n = Symbol('n', integer=True, nonnegative=True) + m = Symbol('m', integer=True, positive=True) + + assert (k**2).is_integer is True + assert (k**(-2)).is_integer is None + assert ((m + 1)**(-2)).is_integer is False + assert (m**(-1)).is_integer is None # issue 8580 + + assert (2**k).is_integer is None + assert (2**(-k)).is_integer is None + + assert (2**n).is_integer is True + assert (2**(-n)).is_integer is None + + assert (2**m).is_integer is True + assert (2**(-m)).is_integer is False + + assert (x**2).is_integer is None + assert (2**x).is_integer is None + + assert (k**n).is_integer is True + assert (k**(-n)).is_integer is None + + assert (k**x).is_integer is None + assert (x**k).is_integer is None + + assert (k**(n*m)).is_integer is True + assert (k**(-n*m)).is_integer is None + + assert sqrt(3).is_integer is False + assert sqrt(.3).is_integer is False + assert Pow(3, 2, evaluate=False).is_integer is True + assert Pow(3, 0, evaluate=False).is_integer is True + assert Pow(3, -2, evaluate=False).is_integer is False + assert Pow(S.Half, 3, evaluate=False).is_integer is False + # decided by re-evaluating + assert Pow(3, S.Half, evaluate=False).is_integer is False + assert Pow(3, S.Half, evaluate=False).is_integer is False + assert Pow(4, S.Half, evaluate=False).is_integer is True + assert Pow(S.Half, -2, evaluate=False).is_integer is True + + assert ((-1)**k).is_integer + + # issue 8641 + x = Symbol('x', real=True, integer=False) + assert (x**2).is_integer is None + + # issue 10458 + x = Symbol('x', positive=True) + assert (1/(x + 1)).is_integer is False + assert (1/(-x - 1)).is_integer is False + assert (-1/(x + 1)).is_integer is False + # issue 23287 + assert (x**2/2).is_integer is None + + # issue 8648-like + k = Symbol('k', even=True) + assert (k**3/2).is_integer + assert (k**3/8).is_integer + assert (k**3/16).is_integer is None + assert (2/k).is_integer is None + assert (2/k**2).is_integer is False + o = Symbol('o', odd=True) + assert (k/o).is_integer is None + o = Symbol('o', odd=True, prime=True) + assert (k/o).is_integer is False + + +def test_Pow_is_real(): + x = Symbol('x', real=True) + y = Symbol('y', positive=True) + + assert (x**2).is_real is True + assert (x**3).is_real is True + assert (x**x).is_real is None + assert (y**x).is_real is True + + assert (x**Rational(1, 3)).is_real is None + assert (y**Rational(1, 3)).is_real is True + + assert sqrt(-1 - sqrt(2)).is_real is False + + i = Symbol('i', imaginary=True) + assert (i**i).is_real is None + assert (I**i).is_extended_real is True + assert ((-I)**i).is_extended_real is True + assert (2**i).is_real is None # (2**(pi/log(2) * I)) is real, 2**I is not + assert (2**I).is_real is False + assert (2**-I).is_real is False + assert (i**2).is_extended_real is True + assert (i**3).is_extended_real is False + assert (i**x).is_real is None # could be (-I)**(2/3) + e = Symbol('e', even=True) + o = Symbol('o', odd=True) + k = Symbol('k', integer=True) + assert (i**e).is_extended_real is True + assert (i**o).is_extended_real is False + assert (i**k).is_real is None + assert (i**(4*k)).is_extended_real is True + + x = Symbol("x", nonnegative=True) + y = Symbol("y", nonnegative=True) + assert im(x**y).expand(complex=True) is S.Zero + assert (x**y).is_real is True + i = Symbol('i', imaginary=True) + assert (exp(i)**I).is_extended_real is True + assert log(exp(i)).is_imaginary is None # i could be 2*pi*I + c = Symbol('c', complex=True) + assert log(c).is_real is None # c could be 0 or 2, too + assert log(exp(c)).is_real is None # log(0), log(E), ... + n = Symbol('n', negative=False) + assert log(n).is_real is None + n = Symbol('n', nonnegative=True) + assert log(n).is_real is None + + assert sqrt(-I).is_real is False # issue 7843 + + i = Symbol('i', integer=True) + assert (1/(i-1)).is_real is None + assert (1/(i-1)).is_extended_real is None + + # test issue 20715 + from sympy.core.parameters import evaluate + x = S(-1) + with evaluate(False): + assert x.is_negative is True + + f = Pow(x, -1) + with evaluate(False): + assert f.is_imaginary is False + + +def test_real_Pow(): + k = Symbol('k', integer=True, nonzero=True) + assert (k**(I*pi/log(k))).is_real + + +def test_Pow_is_finite(): + xe = Symbol('xe', extended_real=True) + xr = Symbol('xr', real=True) + p = Symbol('p', positive=True) + n = Symbol('n', negative=True) + i = Symbol('i', integer=True) + + assert (xe**2).is_finite is None # xe could be oo + assert (xr**2).is_finite is True + + assert (xe**xe).is_finite is None + assert (xr**xe).is_finite is None + assert (xe**xr).is_finite is None + # FIXME: The line below should be True rather than None + # assert (xr**xr).is_finite is True + assert (xr**xr).is_finite is None + + assert (p**xe).is_finite is None + assert (p**xr).is_finite is True + + assert (n**xe).is_finite is None + assert (n**xr).is_finite is True + + assert (sin(xe)**2).is_finite is True + assert (sin(xr)**2).is_finite is True + + assert (sin(xe)**xe).is_finite is None # xe, xr could be -pi + assert (sin(xr)**xr).is_finite is None + + # FIXME: Should the line below be True rather than None? + assert (sin(xe)**exp(xe)).is_finite is None + assert (sin(xr)**exp(xr)).is_finite is True + + assert (1/sin(xe)).is_finite is None # if zero, no, otherwise yes + assert (1/sin(xr)).is_finite is None + + assert (1/exp(xe)).is_finite is None # xe could be -oo + assert (1/exp(xr)).is_finite is True + + assert (1/S.Pi).is_finite is True + + assert (1/(i-1)).is_finite is None + + +def test_Pow_is_even_odd(): + x = Symbol('x') + + k = Symbol('k', even=True) + n = Symbol('n', odd=True) + m = Symbol('m', integer=True, nonnegative=True) + p = Symbol('p', integer=True, positive=True) + + assert ((-1)**n).is_odd + assert ((-1)**k).is_odd + assert ((-1)**(m - p)).is_odd + + assert (k**2).is_even is True + assert (n**2).is_even is False + assert (2**k).is_even is None + assert (x**2).is_even is None + + assert (k**m).is_even is None + assert (n**m).is_even is False + + assert (k**p).is_even is True + assert (n**p).is_even is False + + assert (m**k).is_even is None + assert (p**k).is_even is None + + assert (m**n).is_even is None + assert (p**n).is_even is None + + assert (k**x).is_even is None + assert (n**x).is_even is None + + assert (k**2).is_odd is False + assert (n**2).is_odd is True + assert (3**k).is_odd is None + + assert (k**m).is_odd is None + assert (n**m).is_odd is True + + assert (k**p).is_odd is False + assert (n**p).is_odd is True + + assert (m**k).is_odd is None + assert (p**k).is_odd is None + + assert (m**n).is_odd is None + assert (p**n).is_odd is None + + assert (k**x).is_odd is None + assert (n**x).is_odd is None + + +def test_Pow_is_negative_positive(): + r = Symbol('r', real=True) + + k = Symbol('k', integer=True, positive=True) + n = Symbol('n', even=True) + m = Symbol('m', odd=True) + + x = Symbol('x') + + assert (2**r).is_positive is True + assert ((-2)**r).is_positive is None + assert ((-2)**n).is_positive is True + assert ((-2)**m).is_positive is False + + assert (k**2).is_positive is True + assert (k**(-2)).is_positive is True + + assert (k**r).is_positive is True + assert ((-k)**r).is_positive is None + assert ((-k)**n).is_positive is True + assert ((-k)**m).is_positive is False + + assert (2**r).is_negative is False + assert ((-2)**r).is_negative is None + assert ((-2)**n).is_negative is False + assert ((-2)**m).is_negative is True + + assert (k**2).is_negative is False + assert (k**(-2)).is_negative is False + + assert (k**r).is_negative is False + assert ((-k)**r).is_negative is None + assert ((-k)**n).is_negative is False + assert ((-k)**m).is_negative is True + + assert (2**x).is_positive is None + assert (2**x).is_negative is None + + +def test_Pow_is_zero(): + z = Symbol('z', zero=True) + e = z**2 + assert e.is_zero + assert e.is_positive is False + assert e.is_negative is False + + assert Pow(0, 0, evaluate=False).is_zero is False + assert Pow(0, 3, evaluate=False).is_zero + assert Pow(0, oo, evaluate=False).is_zero + assert Pow(0, -3, evaluate=False).is_zero is False + assert Pow(0, -oo, evaluate=False).is_zero is False + assert Pow(2, 2, evaluate=False).is_zero is False + + a = Symbol('a', zero=False) + assert Pow(a, 3).is_zero is False # issue 7965 + + assert Pow(2, oo, evaluate=False).is_zero is False + assert Pow(2, -oo, evaluate=False).is_zero + assert Pow(S.Half, oo, evaluate=False).is_zero + assert Pow(S.Half, -oo, evaluate=False).is_zero is False + + # All combinations of real/complex base/exponent + h = S.Half + T = True + F = False + N = None + + pow_iszero = [ + ['**', 0, h, 1, 2, -h, -1,-2,-2*I,-I/2,I/2,1+I,oo,-oo,zoo], + [ 0, F, T, T, T, F, F, F, F, F, F, N, T, F, N], + [ h, F, F, F, F, F, F, F, F, F, F, F, T, F, N], + [ 1, F, F, F, F, F, F, F, F, F, F, F, F, F, N], + [ 2, F, F, F, F, F, F, F, F, F, F, F, F, T, N], + [ -h, F, F, F, F, F, F, F, F, F, F, F, T, F, N], + [ -1, F, F, F, F, F, F, F, F, F, F, F, F, F, N], + [ -2, F, F, F, F, F, F, F, F, F, F, F, F, T, N], + [-2*I, F, F, F, F, F, F, F, F, F, F, F, F, T, N], + [-I/2, F, F, F, F, F, F, F, F, F, F, F, T, F, N], + [ I/2, F, F, F, F, F, F, F, F, F, F, F, T, F, N], + [ 1+I, F, F, F, F, F, F, F, F, F, F, F, F, T, N], + [ oo, F, F, F, F, T, T, T, F, F, F, F, F, T, N], + [ -oo, F, F, F, F, T, T, T, F, F, F, F, F, T, N], + [ zoo, F, F, F, F, T, T, T, N, N, N, N, F, T, N] + ] + + def test_table(table): + n = len(table[0]) + for row in range(1, n): + base = table[row][0] + for col in range(1, n): + exp = table[0][col] + is_zero = table[row][col] + # The actual test here: + assert Pow(base, exp, evaluate=False).is_zero is is_zero + + test_table(pow_iszero) + + # A zero symbol... + zo, zo2 = symbols('zo, zo2', zero=True) + + # All combinations of finite symbols + zf, zf2 = symbols('zf, zf2', finite=True) + wf, wf2 = symbols('wf, wf2', nonzero=True) + xf, xf2 = symbols('xf, xf2', real=True) + yf, yf2 = symbols('yf, yf2', nonzero=True) + af, af2 = symbols('af, af2', positive=True) + bf, bf2 = symbols('bf, bf2', nonnegative=True) + cf, cf2 = symbols('cf, cf2', negative=True) + df, df2 = symbols('df, df2', nonpositive=True) + + # Without finiteness: + zi, zi2 = symbols('zi, zi2') + wi, wi2 = symbols('wi, wi2', zero=False) + xi, xi2 = symbols('xi, xi2', extended_real=True) + yi, yi2 = symbols('yi, yi2', zero=False, extended_real=True) + ai, ai2 = symbols('ai, ai2', extended_positive=True) + bi, bi2 = symbols('bi, bi2', extended_nonnegative=True) + ci, ci2 = symbols('ci, ci2', extended_negative=True) + di, di2 = symbols('di, di2', extended_nonpositive=True) + + pow_iszero_sym = [ + ['**',zo,wf,yf,af,cf,zf,xf,bf,df,zi,wi,xi,yi,ai,bi,ci,di], + [ zo2, F, N, N, T, F, N, N, N, F, N, N, N, N, T, N, F, F], + [ wf2, F, F, F, F, F, F, F, F, F, N, N, N, N, N, N, N, N], + [ yf2, F, F, F, F, F, F, F, F, F, N, N, N, N, N, N, N, N], + [ af2, F, F, F, F, F, F, F, F, F, N, N, N, N, N, N, N, N], + [ cf2, F, F, F, F, F, F, F, F, F, N, N, N, N, N, N, N, N], + [ zf2, N, N, N, N, F, N, N, N, N, N, N, N, N, N, N, N, N], + [ xf2, N, N, N, N, F, N, N, N, N, N, N, N, N, N, N, N, N], + [ bf2, N, N, N, N, F, N, N, N, N, N, N, N, N, N, N, N, N], + [ df2, N, N, N, N, F, N, N, N, N, N, N, N, N, N, N, N, N], + [ zi2, N, N, N, N, N, N, N, N, N, N, N, N, N, N, N, N, N], + [ wi2, F, N, N, F, N, N, N, F, N, N, N, N, N, N, N, N, N], + [ xi2, N, N, N, N, N, N, N, N, N, N, N, N, N, N, N, N, N], + [ yi2, F, N, N, F, N, N, N, F, N, N, N, N, N, N, N, N, N], + [ ai2, F, N, N, F, N, N, N, F, N, N, N, N, N, N, N, N, N], + [ bi2, N, N, N, N, N, N, N, N, N, N, N, N, N, N, N, N, N], + [ ci2, F, N, N, F, N, N, N, F, N, N, N, N, N, N, N, N, N], + [ di2, N, N, N, N, N, N, N, N, N, N, N, N, N, N, N, N, N] + ] + + test_table(pow_iszero_sym) + + # In some cases (x**x).is_zero is different from (x**y).is_zero even if y + # has the same assumptions as x. + assert (zo ** zo).is_zero is False + assert (wf ** wf).is_zero is False + assert (yf ** yf).is_zero is False + assert (af ** af).is_zero is False + assert (cf ** cf).is_zero is False + assert (zf ** zf).is_zero is None + assert (xf ** xf).is_zero is None + assert (bf ** bf).is_zero is False # None in table + assert (df ** df).is_zero is None + assert (zi ** zi).is_zero is None + assert (wi ** wi).is_zero is None + assert (xi ** xi).is_zero is None + assert (yi ** yi).is_zero is None + assert (ai ** ai).is_zero is False # None in table + assert (bi ** bi).is_zero is False # None in table + assert (ci ** ci).is_zero is None + assert (di ** di).is_zero is None + + +def test_Pow_is_nonpositive_nonnegative(): + x = Symbol('x', real=True) + + k = Symbol('k', integer=True, nonnegative=True) + l = Symbol('l', integer=True, positive=True) + n = Symbol('n', even=True) + m = Symbol('m', odd=True) + + assert (x**(4*k)).is_nonnegative is True + assert (2**x).is_nonnegative is True + assert ((-2)**x).is_nonnegative is None + assert ((-2)**n).is_nonnegative is True + assert ((-2)**m).is_nonnegative is False + + assert (k**2).is_nonnegative is True + assert (k**(-2)).is_nonnegative is None + assert (k**k).is_nonnegative is True + + assert (k**x).is_nonnegative is None # NOTE (0**x).is_real = U + assert (l**x).is_nonnegative is True + assert (l**x).is_positive is True + assert ((-k)**x).is_nonnegative is None + + assert ((-k)**m).is_nonnegative is None + + assert (2**x).is_nonpositive is False + assert ((-2)**x).is_nonpositive is None + assert ((-2)**n).is_nonpositive is False + assert ((-2)**m).is_nonpositive is True + + assert (k**2).is_nonpositive is None + assert (k**(-2)).is_nonpositive is None + + assert (k**x).is_nonpositive is None + assert ((-k)**x).is_nonpositive is None + assert ((-k)**n).is_nonpositive is None + + + assert (x**2).is_nonnegative is True + i = symbols('i', imaginary=True) + assert (i**2).is_nonpositive is True + assert (i**4).is_nonpositive is False + assert (i**3).is_nonpositive is False + assert (I**i).is_nonnegative is True + assert (exp(I)**i).is_nonnegative is True + + assert ((-l)**n).is_nonnegative is True + assert ((-l)**m).is_nonpositive is True + assert ((-k)**n).is_nonnegative is None + assert ((-k)**m).is_nonpositive is None + + +def test_Mul_is_imaginary_real(): + r = Symbol('r', real=True) + p = Symbol('p', positive=True) + i1 = Symbol('i1', imaginary=True) + i2 = Symbol('i2', imaginary=True) + x = Symbol('x') + + assert I.is_imaginary is True + assert I.is_real is False + assert (-I).is_imaginary is True + assert (-I).is_real is False + assert (3*I).is_imaginary is True + assert (3*I).is_real is False + assert (I*I).is_imaginary is False + assert (I*I).is_real is True + + e = (p + p*I) + j = Symbol('j', integer=True, zero=False) + assert (e**j).is_real is None + assert (e**(2*j)).is_real is None + assert (e**j).is_imaginary is None + assert (e**(2*j)).is_imaginary is None + + assert (e**-1).is_imaginary is False + assert (e**2).is_imaginary + assert (e**3).is_imaginary is False + assert (e**4).is_imaginary is False + assert (e**5).is_imaginary is False + assert (e**-1).is_real is False + assert (e**2).is_real is False + assert (e**3).is_real is False + assert (e**4).is_real is True + assert (e**5).is_real is False + assert (e**3).is_complex + + assert (r*i1).is_imaginary is None + assert (r*i1).is_real is None + + assert (x*i1).is_imaginary is None + assert (x*i1).is_real is None + + assert (i1*i2).is_imaginary is False + assert (i1*i2).is_real is True + + assert (r*i1*i2).is_imaginary is False + assert (r*i1*i2).is_real is True + + # Github's issue 5874: + nr = Symbol('nr', real=False, complex=True) # e.g. I or 1 + I + a = Symbol('a', real=True, nonzero=True) + b = Symbol('b', real=True) + assert (i1*nr).is_real is None + assert (a*nr).is_real is False + assert (b*nr).is_real is None + + ni = Symbol('ni', imaginary=False, complex=True) # e.g. 2 or 1 + I + a = Symbol('a', real=True, nonzero=True) + b = Symbol('b', real=True) + assert (i1*ni).is_real is False + assert (a*ni).is_real is None + assert (b*ni).is_real is None + + +def test_Mul_hermitian_antihermitian(): + xz, yz = symbols('xz, yz', zero=True, antihermitian=True) + xf, yf = symbols('xf, yf', hermitian=False, antihermitian=False, finite=True) + xh, yh = symbols('xh, yh', hermitian=True, antihermitian=False, nonzero=True) + xa, ya = symbols('xa, ya', hermitian=False, antihermitian=True, zero=False, finite=True) + assert (xz*xh).is_hermitian is True + assert (xz*xh).is_antihermitian is True + assert (xz*xa).is_hermitian is True + assert (xz*xa).is_antihermitian is True + assert (xf*yf).is_hermitian is None + assert (xf*yf).is_antihermitian is None + assert (xh*yh).is_hermitian is True + assert (xh*yh).is_antihermitian is False + assert (xh*ya).is_hermitian is False + assert (xh*ya).is_antihermitian is True + assert (xa*ya).is_hermitian is True + assert (xa*ya).is_antihermitian is False + + a = Symbol('a', hermitian=True, zero=False) + b = Symbol('b', hermitian=True) + c = Symbol('c', hermitian=False) + d = Symbol('d', antihermitian=True) + e1 = Mul(a, b, c, evaluate=False) + e2 = Mul(b, a, c, evaluate=False) + e3 = Mul(a, b, c, d, evaluate=False) + e4 = Mul(b, a, c, d, evaluate=False) + e5 = Mul(a, c, evaluate=False) + e6 = Mul(a, c, d, evaluate=False) + assert e1.is_hermitian is None + assert e2.is_hermitian is None + assert e1.is_antihermitian is None + assert e2.is_antihermitian is None + assert e3.is_antihermitian is None + assert e4.is_antihermitian is None + assert e5.is_antihermitian is None + assert e6.is_antihermitian is None + + +def test_Add_is_comparable(): + assert (x + y).is_comparable is False + assert (x + 1).is_comparable is False + assert (Rational(1, 3) - sqrt(8)).is_comparable is True + + +def test_Mul_is_comparable(): + assert (x*y).is_comparable is False + assert (x*2).is_comparable is False + assert (sqrt(2)*Rational(1, 3)).is_comparable is True + + +def test_Pow_is_comparable(): + assert (x**y).is_comparable is False + assert (x**2).is_comparable is False + assert (sqrt(Rational(1, 3))).is_comparable is True + + +def test_Add_is_positive_2(): + e = Rational(1, 3) - sqrt(8) + assert e.is_positive is False + assert e.is_negative is True + + e = pi - 1 + assert e.is_positive is True + assert e.is_negative is False + + +def test_Add_is_irrational(): + i = Symbol('i', irrational=True) + + assert i.is_irrational is True + assert i.is_rational is False + + assert (i + 1).is_irrational is True + assert (i + 1).is_rational is False + + +def test_Mul_is_irrational(): + expr = Mul(1, 2, 3, evaluate=False) + assert expr.is_irrational is False + expr = Mul(1, I, I, evaluate=False) + assert expr.is_rational is None # I * I = -1 but *no evaluation allowed* + # sqrt(2) * I * I = -sqrt(2) is irrational but + # this can't be determined without evaluating the + # expression and the eval_is routines shouldn't do that + expr = Mul(sqrt(2), I, I, evaluate=False) + assert expr.is_irrational is None + + +def test_issue_3531(): + # https://github.com/sympy/sympy/issues/3531 + # https://github.com/sympy/sympy/pull/18116 + class MightyNumeric(tuple): + __slots__ = () + + def __rtruediv__(self, other): + return "something" + + assert sympify(1)/MightyNumeric((1, 2)) == "something" + + +def test_issue_3531b(): + class Foo: + def __init__(self): + self.field = 1.0 + + def __mul__(self, other): + self.field = self.field * other + + def __rmul__(self, other): + self.field = other * self.field + f = Foo() + x = Symbol("x") + assert f*x == x*f + + +def test_bug3(): + a = Symbol("a") + b = Symbol("b", positive=True) + e = 2*a + b + f = b + 2*a + assert e == f + + +def test_suppressed_evaluation(): + a = Add(0, 3, 2, evaluate=False) + b = Mul(1, 3, 2, evaluate=False) + c = Pow(3, 2, evaluate=False) + assert a != 6 + assert a.func is Add + assert a.args == (0, 3, 2) + assert b != 6 + assert b.func is Mul + assert b.args == (1, 3, 2) + assert c != 9 + assert c.func is Pow + assert c.args == (3, 2) + + +def test_AssocOp_doit(): + a = Add(x,x, evaluate=False) + b = Mul(y,y, evaluate=False) + c = Add(b,b, evaluate=False) + d = Mul(a,a, evaluate=False) + assert c.doit(deep=False).func == Mul + assert c.doit(deep=False).args == (2,y,y) + assert c.doit().func == Mul + assert c.doit().args == (2, Pow(y,2)) + assert d.doit(deep=False).func == Pow + assert d.doit(deep=False).args == (a, 2*S.One) + assert d.doit().func == Mul + assert d.doit().args == (4*S.One, Pow(x,2)) + + +def test_Add_Mul_Expr_args(): + nonexpr = [Basic(), Poly(x, x), FiniteSet(x)] + for typ in [Add, Mul]: + for obj in nonexpr: + # The cache can mess with the stacklevel check + with warns(SymPyDeprecationWarning, test_stacklevel=False): + typ(obj, 1) + + +def test_Add_as_coeff_mul(): + # issue 5524. These should all be (1, self) + assert (x + 1).as_coeff_mul() == (1, (x + 1,)) + assert (x + 2).as_coeff_mul() == (1, (x + 2,)) + assert (x + 3).as_coeff_mul() == (1, (x + 3,)) + + assert (x - 1).as_coeff_mul() == (1, (x - 1,)) + assert (x - 2).as_coeff_mul() == (1, (x - 2,)) + assert (x - 3).as_coeff_mul() == (1, (x - 3,)) + + n = Symbol('n', integer=True) + assert (n + 1).as_coeff_mul() == (1, (n + 1,)) + assert (n + 2).as_coeff_mul() == (1, (n + 2,)) + assert (n + 3).as_coeff_mul() == (1, (n + 3,)) + + assert (n - 1).as_coeff_mul() == (1, (n - 1,)) + assert (n - 2).as_coeff_mul() == (1, (n - 2,)) + assert (n - 3).as_coeff_mul() == (1, (n - 3,)) + + +def test_Pow_as_coeff_mul_doesnt_expand(): + assert exp(x + y).as_coeff_mul() == (1, (exp(x + y),)) + assert exp(x + exp(x + y)) != exp(x + exp(x)*exp(y)) + +def test_issue_24751(): + expr = Add(-2, -3, evaluate=False) + expr1 = Add(-1, expr, evaluate=False) + assert int(expr1) == int((-3 - 2) - 1) + + +def test_issue_3514_18626(): + assert sqrt(S.Half) * sqrt(6) == 2 * sqrt(3)/2 + assert S.Half*sqrt(6)*sqrt(2) == sqrt(3) + assert sqrt(6)/2*sqrt(2) == sqrt(3) + assert sqrt(6)*sqrt(2)/2 == sqrt(3) + assert sqrt(8)**Rational(2, 3) == 2 + + +def test_make_args(): + assert Add.make_args(x) == (x,) + assert Mul.make_args(x) == (x,) + + assert Add.make_args(x*y*z) == (x*y*z,) + assert Mul.make_args(x*y*z) == (x*y*z).args + + assert Add.make_args(x + y + z) == (x + y + z).args + assert Mul.make_args(x + y + z) == (x + y + z,) + + assert Add.make_args((x + y)**z) == ((x + y)**z,) + assert Mul.make_args((x + y)**z) == ((x + y)**z,) + + +def test_issue_5126(): + assert (-2)**x*(-3)**x != 6**x + i = Symbol('i', integer=1) + assert (-2)**i*(-3)**i == 6**i + + +def test_Rational_as_content_primitive(): + c, p = S.One, S.Zero + assert (c*p).as_content_primitive() == (c, p) + c, p = S.Half, S.One + assert (c*p).as_content_primitive() == (c, p) + + +def test_Add_as_content_primitive(): + assert (x + 2).as_content_primitive() == (1, x + 2) + + assert (3*x + 2).as_content_primitive() == (1, 3*x + 2) + assert (3*x + 3).as_content_primitive() == (3, x + 1) + assert (3*x + 6).as_content_primitive() == (3, x + 2) + + assert (3*x + 2*y).as_content_primitive() == (1, 3*x + 2*y) + assert (3*x + 3*y).as_content_primitive() == (3, x + y) + assert (3*x + 6*y).as_content_primitive() == (3, x + 2*y) + + assert (3/x + 2*x*y*z**2).as_content_primitive() == (1, 3/x + 2*x*y*z**2) + assert (3/x + 3*x*y*z**2).as_content_primitive() == (3, 1/x + x*y*z**2) + assert (3/x + 6*x*y*z**2).as_content_primitive() == (3, 1/x + 2*x*y*z**2) + + assert (2*x/3 + 4*y/9).as_content_primitive() == \ + (Rational(2, 9), 3*x + 2*y) + assert (2*x/3 + 2.5*y).as_content_primitive() == \ + (Rational(1, 3), 2*x + 7.5*y) + + # the coefficient may sort to a position other than 0 + p = 3 + x + y + assert (2*p).expand().as_content_primitive() == (2, p) + assert (2.0*p).expand().as_content_primitive() == (1, 2.*p) + p *= -1 + assert (2*p).expand().as_content_primitive() == (2, p) + + +def test_Mul_as_content_primitive(): + assert (2*x).as_content_primitive() == (2, x) + assert (x*(2 + 2*x)).as_content_primitive() == (2, x*(1 + x)) + assert (x*(2 + 2*y)*(3*x + 3)**2).as_content_primitive() == \ + (18, x*(1 + y)*(x + 1)**2) + assert ((2 + 2*x)**2*(3 + 6*x) + S.Half).as_content_primitive() == \ + (S.Half, 24*(x + 1)**2*(2*x + 1) + 1) + + +def test_Pow_as_content_primitive(): + assert (x**y).as_content_primitive() == (1, x**y) + assert ((2*x + 2)**y).as_content_primitive() == \ + (1, (Mul(2, (x + 1), evaluate=False))**y) + assert ((2*x + 2)**3).as_content_primitive() == (8, (x + 1)**3) + + +def test_issue_5460(): + u = Mul(2, (1 + x), evaluate=False) + assert (2 + u).args == (2, u) + + +def test_product_irrational(): + assert (I*pi).is_irrational is False + # The following used to be deduced from the above bug: + assert (I*pi).is_positive is False + + +def test_issue_5919(): + assert (x/(y*(1 + y))).expand() == x/(y**2 + y) + + +def test_Mod(): + assert Mod(x, 1).func is Mod + assert pi % pi is S.Zero + assert Mod(5, 3) == 2 + assert Mod(-5, 3) == 1 + assert Mod(5, -3) == -1 + assert Mod(-5, -3) == -2 + assert type(Mod(3.2, 2, evaluate=False)) == Mod + assert 5 % x == Mod(5, x) + assert x % 5 == Mod(x, 5) + assert x % y == Mod(x, y) + assert (x % y).subs({x: 5, y: 3}) == 2 + assert Mod(nan, 1) is nan + assert Mod(1, nan) is nan + assert Mod(nan, nan) is nan + + assert Mod(0, x) == 0 + with raises(ZeroDivisionError): + Mod(x, 0) + + k = Symbol('k', integer=True) + m = Symbol('m', integer=True, positive=True) + assert (x**m % x).func is Mod + assert (k**(-m) % k).func is Mod + assert k**m % k == 0 + assert (-2*k)**m % k == 0 + + # Float handling + point3 = Float(3.3) % 1 + assert (x - 3.3) % 1 == Mod(1.*x + 1 - point3, 1) + assert Mod(-3.3, 1) == 1 - point3 + assert Mod(0.7, 1) == Float(0.7) + e = Mod(1.3, 1) + assert comp(e, .3) and e.is_Float + e = Mod(1.3, .7) + assert comp(e, .6) and e.is_Float + e = Mod(1.3, Rational(7, 10)) + assert comp(e, .6) and e.is_Float + e = Mod(Rational(13, 10), 0.7) + assert comp(e, .6) and e.is_Float + e = Mod(Rational(13, 10), Rational(7, 10)) + assert comp(e, .6) and e.is_Rational + + # check that sign is right + r2 = sqrt(2) + r3 = sqrt(3) + for i in [-r3, -r2, r2, r3]: + for j in [-r3, -r2, r2, r3]: + assert verify_numerically(i % j, i.n() % j.n()) + for _x in range(4): + for _y in range(9): + reps = [(x, _x), (y, _y)] + assert Mod(3*x + y, 9).subs(reps) == (3*_x + _y) % 9 + + # denesting + t = Symbol('t', real=True) + assert Mod(Mod(x, t), t) == Mod(x, t) + assert Mod(-Mod(x, t), t) == Mod(-x, t) + assert Mod(Mod(x, 2*t), t) == Mod(x, t) + assert Mod(-Mod(x, 2*t), t) == Mod(-x, t) + assert Mod(Mod(x, t), 2*t) == Mod(x, t) + assert Mod(-Mod(x, t), -2*t) == -Mod(x, t) + for i in [-4, -2, 2, 4]: + for j in [-4, -2, 2, 4]: + for k in range(4): + assert Mod(Mod(x, i), j).subs({x: k}) == (k % i) % j + assert Mod(-Mod(x, i), j).subs({x: k}) == -(k % i) % j + + # known difference + assert Mod(5*sqrt(2), sqrt(5)) == 5*sqrt(2) - 3*sqrt(5) + p = symbols('p', positive=True) + assert Mod(2, p + 3) == 2 + assert Mod(-2, p + 3) == p + 1 + assert Mod(2, -p - 3) == -p - 1 + assert Mod(-2, -p - 3) == -2 + assert Mod(p + 5, p + 3) == 2 + assert Mod(-p - 5, p + 3) == p + 1 + assert Mod(p + 5, -p - 3) == -p - 1 + assert Mod(-p - 5, -p - 3) == -2 + assert Mod(p + 1, p - 1).func is Mod + + # issue 27749 + n = symbols('n', integer=True, positive=True) + assert unchanged(Mod, 1, n) + n = symbols('n', prime=True) + assert Mod(1, n) == 1 + + # handling sums + assert (x + 3) % 1 == Mod(x, 1) + assert (x + 3.0) % 1 == Mod(1.*x, 1) + assert (x - S(33)/10) % 1 == Mod(x + S(7)/10, 1) + + a = Mod(.6*x + y, .3*y) + b = Mod(0.1*y + 0.6*x, 0.3*y) + # Test that a, b are equal, with 1e-14 accuracy in coefficients + eps = 1e-14 + assert abs((a.args[0] - b.args[0]).subs({x: 1, y: 1})) < eps + assert abs((a.args[1] - b.args[1]).subs({x: 1, y: 1})) < eps + + assert (x + 1) % x == 1 % x + assert (x + y) % x == y % x + assert (x + y + 2) % x == (y + 2) % x + assert (a + 3*x + 1) % (2*x) == Mod(a + x + 1, 2*x) + assert (12*x + 18*y) % (3*x) == 3*Mod(6*y, x) + + # gcd extraction + assert (-3*x) % (-2*y) == -Mod(3*x, 2*y) + assert (.6*pi) % (.3*x*pi) == 0.3*pi*Mod(2, x) + assert (.6*pi) % (.31*x*pi) == pi*Mod(0.6, 0.31*x) + assert (6*pi) % (.3*x*pi) == 0.3*pi*Mod(20, x) + assert (6*pi) % (.31*x*pi) == pi*Mod(6, 0.31*x) + assert (6*pi) % (.42*x*pi) == pi*Mod(6, 0.42*x) + assert (12*x) % (2*y) == 2*Mod(6*x, y) + assert (12*x) % (3*5*y) == 3*Mod(4*x, 5*y) + assert (12*x) % (15*x*y) == 3*x*Mod(4, 5*y) + assert (-2*pi) % (3*pi) == pi + assert (2*x + 2) % (x + 1) == 0 + assert (x*(x + 1)) % (x + 1) == (x + 1)*Mod(x, 1) + assert Mod(5.0*x, 0.1*y) == 0.1*Mod(50*x, y) + i = Symbol('i', integer=True) + assert (3*i*x) % (2*i*y) == i*Mod(3*x, 2*y) + assert Mod(4*i, 4) == 0 + + # issue 8677 + n = Symbol('n', integer=True, positive=True) + assert factorial(n) % n == 0 + assert factorial(n + 2) % n == 0 + assert (factorial(n + 4) % (n + 5)).func is Mod + + # Wilson's theorem + assert factorial(18042, evaluate=False) % 18043 == 18042 + p = Symbol('n', prime=True) + assert factorial(p - 1) % p == p - 1 + assert factorial(p - 1) % -p == -1 + assert (factorial(3, evaluate=False) % 4).doit() == 2 + n = Symbol('n', composite=True, odd=True) + assert factorial(n - 1) % n == 0 + + # symbolic with known parity + n = Symbol('n', even=True) + assert Mod(n, 2) == 0 + n = Symbol('n', odd=True) + assert Mod(n, 2) == 1 + + # issue 10963 + assert (x**6000%400).args[1] == 400 + + #issue 13543 + assert Mod(Mod(x + 1, 2) + 1, 2) == Mod(x, 2) + + x1 = Symbol('x1', integer=True) + assert Mod(Mod(x1 + 2, 4)*(x1 + 4), 4) == Mod(x1*(x1 + 2), 4) + assert Mod(Mod(x1 + 2, 4)*4, 4) == 0 + + # issue 15493 + i, j = symbols('i j', integer=True, positive=True) + assert Mod(3*i, 2) == Mod(i, 2) + assert Mod(8*i/j, 4) == 4*Mod(2*i/j, 1) + assert Mod(8*i, 4) == 0 + + # rewrite + assert Mod(x, y).rewrite(floor) == x - y*floor(x/y) + assert ((x - Mod(x, y))/y).rewrite(floor) == floor(x/y) + + # issue 21373 + from sympy.functions.elementary.hyperbolic import sinh + from sympy.functions.elementary.piecewise import Piecewise + + x_r, y_r = symbols('x_r y_r', real=True) + assert (Piecewise((x_r, y_r > x_r), (y_r, True)) / z) % 1 + expr = exp(sinh(Piecewise((x_r, y_r > x_r), (y_r, True)) / z)) + expr.subs({1: 1.0}) + sinh(Piecewise((x_r, y_r > x_r), (y_r, True)) * z ** -1.0).is_zero + + # issue 24215 + from sympy.abc import phi + assert Mod(4.0*Mod(phi, 1) , 2) == 2.0*(Mod(2*(Mod(phi, 1)), 1)) + + xi = symbols('x', integer=True) + assert unchanged(Mod, xi, 2) + assert Mod(3*xi, 2) == Mod(xi, 2) + assert unchanged(Mod, 3*x, 2) + + +def test_Mod_Pow(): + # modular exponentiation + assert isinstance(Mod(Pow(2, 2, evaluate=False), 3), Integer) + + assert Mod(Pow(4, 13, evaluate=False), 497) == Mod(Pow(4, 13), 497) + assert Mod(Pow(2, 10000000000, evaluate=False), 3) == 1 + assert Mod(Pow(32131231232, 9**10**6, evaluate=False),10**12) == \ + pow(32131231232,9**10**6,10**12) + assert Mod(Pow(33284959323, 123**999, evaluate=False),11**13) == \ + pow(33284959323,123**999,11**13) + assert Mod(Pow(78789849597, 333**555, evaluate=False),12**9) == \ + pow(78789849597,333**555,12**9) + + # modular nested exponentiation + expr = Pow(2, 2, evaluate=False) + expr = Pow(2, expr, evaluate=False) + assert Mod(expr, 3**10) == 16 + expr = Pow(2, expr, evaluate=False) + assert Mod(expr, 3**10) == 6487 + expr = Pow(2, expr, evaluate=False) + assert Mod(expr, 3**10) == 32191 + expr = Pow(2, expr, evaluate=False) + assert Mod(expr, 3**10) == 18016 + expr = Pow(2, expr, evaluate=False) + assert Mod(expr, 3**10) == 5137 + + expr = Pow(2, 2, evaluate=False) + expr = Pow(expr, 2, evaluate=False) + assert Mod(expr, 3**10) == 16 + expr = Pow(expr, 2, evaluate=False) + assert Mod(expr, 3**10) == 256 + expr = Pow(expr, 2, evaluate=False) + assert Mod(expr, 3**10) == 6487 + expr = Pow(expr, 2, evaluate=False) + assert Mod(expr, 3**10) == 38281 + expr = Pow(expr, 2, evaluate=False) + assert Mod(expr, 3**10) == 15928 + + expr = Pow(2, 2, evaluate=False) + expr = Pow(expr, expr, evaluate=False) + assert Mod(expr, 3**10) == 256 + expr = Pow(expr, expr, evaluate=False) + assert Mod(expr, 3**10) == 9229 + expr = Pow(expr, expr, evaluate=False) + assert Mod(expr, 3**10) == 25708 + expr = Pow(expr, expr, evaluate=False) + assert Mod(expr, 3**10) == 26608 + expr = Pow(expr, expr, evaluate=False) + # XXX This used to fail in a nondeterministic way because of overflow + # error. + assert Mod(expr, 3**10) == 1966 + + +def test_Mod_is_integer(): + p = Symbol('p', integer=True) + q1 = Symbol('q1', integer=True) + q2 = Symbol('q2', integer=True, nonzero=True) + assert Mod(x, y).is_integer is None + assert Mod(p, q1).is_integer is None + assert Mod(x, q2).is_integer is None + assert Mod(p, q2).is_integer + + +def test_Mod_is_nonposneg(): + n = Symbol('n', integer=True) + k = Symbol('k', integer=True, positive=True) + assert (n%3).is_nonnegative + assert Mod(n, -3).is_nonpositive + assert Mod(n, k).is_nonnegative + assert Mod(n, -k).is_nonpositive + assert Mod(k, n).is_nonnegative is None + + +def test_issue_6001(): + A = Symbol("A", commutative=False) + eq = A + A**2 + # it doesn't matter whether it's True or False; they should + # just all be the same + assert ( + eq.is_commutative == + (eq + 1).is_commutative == + (A + 1).is_commutative) + + B = Symbol("B", commutative=False) + # Although commutative terms could cancel we return True + # meaning "there are non-commutative symbols; aftersubstitution + # that definition can change, e.g. (A*B).subs(B,A**-1) -> 1 + assert (sqrt(2)*A).is_commutative is False + assert (sqrt(2)*A*B).is_commutative is False + + +def test_polar(): + from sympy.functions.elementary.complexes import polar_lift + p = Symbol('p', polar=True) + x = Symbol('x') + assert p.is_polar + assert x.is_polar is None + assert S.One.is_polar is None + assert (p**x).is_polar is True + assert (x**p).is_polar is None + assert ((2*p)**x).is_polar is True + assert (2*p).is_polar is True + assert (-2*p).is_polar is not True + assert (polar_lift(-2)*p).is_polar is True + + q = Symbol('q', polar=True) + assert (p*q)**2 == p**2 * q**2 + assert (2*q)**2 == 4 * q**2 + assert ((p*q)**x).expand() == p**x * q**x + + +def test_issue_6040(): + a, b = Pow(1, 2, evaluate=False), S.One + assert a != b + assert b != a + assert not (a == b) + assert not (b == a) + + +def test_issue_6082(): + # Comparison is symmetric + assert Basic.compare(Max(x, 1), Max(x, 2)) == \ + - Basic.compare(Max(x, 2), Max(x, 1)) + # Equal expressions compare equal + assert Basic.compare(Max(x, 1), Max(x, 1)) == 0 + # Basic subtypes (such as Max) compare different than standard types + assert Basic.compare(Max(1, x), frozenset((1, x))) != 0 + + +def test_issue_6077(): + assert x**2.0/x == x**1.0 + assert x/x**2.0 == x**-1.0 + assert x*x**2.0 == x**3.0 + assert x**1.5*x**2.5 == x**4.0 + + assert 2**(2.0*x)/2**x == 2**(1.0*x) + assert 2**x/2**(2.0*x) == 2**(-1.0*x) + assert 2**x*2**(2.0*x) == 2**(3.0*x) + assert 2**(1.5*x)*2**(2.5*x) == 2**(4.0*x) + + +def test_mul_flatten_oo(): + p = symbols('p', positive=True) + n, m = symbols('n,m', negative=True) + x_im = symbols('x_im', imaginary=True) + assert n*oo is -oo + assert n*m*oo is oo + assert p*oo is oo + assert x_im*oo != I*oo # i could be +/- 3*I -> +/-oo + + +def test_add_flatten(): + # see https://github.com/sympy/sympy/issues/2633#issuecomment-29545524 + a = oo + I*oo + b = oo - I*oo + assert a + b is nan + assert a - b is nan + # FIXME: This evaluates as: + # >>> 1/a + # 0*(oo + oo*I) + # which should not simplify to 0. Should be fixed in Pow.eval + #assert (1/a).simplify() == (1/b).simplify() == 0 + + a = Pow(2, 3, evaluate=False) + assert a + a == 16 + + +def test_issue_5160_6087_6089_6090(): + # issue 6087 + assert ((-2*x*y**y)**3.2).n(2) == (2**3.2*(-x*y**y)**3.2).n(2) + # issue 6089 + A, B, C = symbols('A,B,C', commutative=False) + assert (2.*B*C)**3 == 8.0*(B*C)**3 + assert (-2.*B*C)**3 == -8.0*(B*C)**3 + assert (-2*B*C)**2 == 4*(B*C)**2 + # issue 5160 + assert sqrt(-1.0*x) == 1.0*sqrt(-x) + assert sqrt(1.0*x) == 1.0*sqrt(x) + # issue 6090 + assert (-2*x*y*A*B)**2 == 4*x**2*y**2*(A*B)**2 + + +def test_float_int_round(): + assert int(float(sqrt(10))) == int(sqrt(10)) + assert int(pi**1000) % 10 == 2 + assert int(Float('1.123456789012345678901234567890e20', '')) == \ + int(112345678901234567890) + assert int(Float('1.123456789012345678901234567890e25', '')) == \ + int(11234567890123456789012345) + # decimal forces float so it's not an exact integer ending in 000000 + assert int(Float('1.123456789012345678901234567890e35', '')) == \ + 112345678901234567890123456789000192 + assert int(Float('123456789012345678901234567890e5', '')) == \ + 12345678901234567890123456789000000 + assert Integer(Float('1.123456789012345678901234567890e20', '')) == \ + 112345678901234567890 + assert Integer(Float('1.123456789012345678901234567890e25', '')) == \ + 11234567890123456789012345 + # decimal forces float so it's not an exact integer ending in 000000 + assert Integer(Float('1.123456789012345678901234567890e35', '')) == \ + 112345678901234567890123456789000192 + assert Integer(Float('123456789012345678901234567890e5', '')) == \ + 12345678901234567890123456789000000 + assert same_and_same_prec(Float('123000e-2',''), Float('1230.00', '')) + assert same_and_same_prec(Float('123000e2',''), Float('12300000', '')) + + assert int(1 + Rational('.9999999999999999999999999')) == 1 + assert int(pi/1e20) == 0 + assert int(1 + pi/1e20) == 1 + assert int(Add(1.2, -2, evaluate=False)) == int(1.2 - 2) + assert int(Add(1.2, +2, evaluate=False)) == int(1.2 + 2) + assert int(Add(1 + Float('.99999999999999999', ''), evaluate=False)) == 1 + raises(TypeError, lambda: float(x)) + raises(TypeError, lambda: float(sqrt(-1))) + + assert int(12345678901234567890 + cos(1)**2 + sin(1)**2) == \ + 12345678901234567891 + + +def test_issue_6611a(): + assert Mul.flatten([3**Rational(1, 3), + Pow(-Rational(1, 9), Rational(2, 3), evaluate=False)]) == \ + ([Rational(1, 3), (-1)**Rational(2, 3)], [], None) + + +def test_denest_add_mul(): + # when working with evaluated expressions make sure they denest + eq = x + 1 + eq = Add(eq, 2, evaluate=False) + eq = Add(eq, 2, evaluate=False) + assert Add(*eq.args) == x + 5 + eq = x*2 + eq = Mul(eq, 2, evaluate=False) + eq = Mul(eq, 2, evaluate=False) + assert Mul(*eq.args) == 8*x + # but don't let them denest unnecessarily + eq = Mul(-2, x - 2, evaluate=False) + assert 2*eq == Mul(-4, x - 2, evaluate=False) + assert -eq == Mul(2, x - 2, evaluate=False) + + +def test_mul_coeff(): + # It is important that all Numbers be removed from the seq; + # This can be tricky when powers combine to produce those numbers + p = exp(I*pi/3) + assert p**2*x*p*y*p*x*p**2 == x**2*y + + +def test_mul_zero_detection(): + nz = Dummy(real=True, zero=False) + r = Dummy(extended_real=True) + c = Dummy(real=False, complex=True) + c2 = Dummy(real=False, complex=True) + i = Dummy(imaginary=True) + e = nz*r*c + assert e.is_imaginary is None + assert e.is_extended_real is None + e = nz*c + assert e.is_imaginary is None + assert e.is_extended_real is False + e = nz*i*c + assert e.is_imaginary is False + assert e.is_extended_real is None + # check for more than one complex; it is important to use + # uniquely named Symbols to ensure that two factors appear + # e.g. if the symbols have the same name they just become + # a single factor, a power. + e = nz*i*c*c2 + assert e.is_imaginary is None + assert e.is_extended_real is None + + # _eval_is_extended_real and _eval_is_zero both employ trapping of the + # zero value so args should be tested in both directions and + # TO AVOID GETTING THE CACHED RESULT, Dummy MUST BE USED + + # real is unknown + def test(z, b, e): + if z.is_zero and b.is_finite: + assert e.is_extended_real and e.is_zero + else: + assert e.is_extended_real is None + if b.is_finite: + if z.is_zero: + assert e.is_zero + else: + assert e.is_zero is None + elif b.is_finite is False: + if z.is_zero is None: + assert e.is_zero is None + else: + assert e.is_zero is False + + + for iz, ib in product(*[[True, False, None]]*2): + z = Dummy('z', nonzero=iz) + b = Dummy('f', finite=ib) + e = Mul(z, b, evaluate=False) + test(z, b, e) + z = Dummy('nz', nonzero=iz) + b = Dummy('f', finite=ib) + e = Mul(b, z, evaluate=False) + test(z, b, e) + + # real is True + def test(z, b, e): + if z.is_zero and not b.is_finite: + assert e.is_extended_real is None + else: + assert e.is_extended_real is True + + for iz, ib in product(*[[True, False, None]]*2): + z = Dummy('z', nonzero=iz, extended_real=True) + b = Dummy('b', finite=ib, extended_real=True) + e = Mul(z, b, evaluate=False) + test(z, b, e) + z = Dummy('z', nonzero=iz, extended_real=True) + b = Dummy('b', finite=ib, extended_real=True) + e = Mul(b, z, evaluate=False) + test(z, b, e) + + +def test_Mul_with_zero_infinite(): + zer = Dummy(zero=True) + inf = Dummy(finite=False) + + e = Mul(zer, inf, evaluate=False) + assert e.is_extended_positive is None + assert e.is_hermitian is None + + e = Mul(inf, zer, evaluate=False) + assert e.is_extended_positive is None + assert e.is_hermitian is None + + +def test_Mul_does_not_cancel_infinities(): + a, b = symbols('a b') + assert ((zoo + 3*a)/(3*a + zoo)) is nan + assert ((b - oo)/(b - oo)) is nan + # issue 13904 + expr = (1/(a+b) + 1/(a-b))/(1/(a+b) - 1/(a-b)) + assert expr.subs(b, a) is nan + + +def test_Mul_does_not_distribute_infinity(): + a, b = symbols('a b') + assert ((1 + I)*oo).is_Mul + assert ((a + b)*(-oo)).is_Mul + assert ((a + 1)*zoo).is_Mul + assert ((1 + I)*oo).is_finite is False + z = (1 + I)*oo + assert ((1 - I)*z).expand() is oo + + +def test_Mul_does_not_let_0_trump_inf(): + assert Mul(*[0, a + zoo]) is S.NaN + assert Mul(*[0, a + oo]) is S.NaN + assert Mul(*[0, a + Integral(1/x**2, (x, 1, oo))]) is S.Zero + # Integral is treated like an unknown like 0*x -> 0 + assert Mul(*[0, a + Integral(x, (x, 1, oo))]) is S.Zero + + +def test_issue_8247_8354(): + from sympy.functions.elementary.trigonometric import tan + z = sqrt(1 + sqrt(3)) + sqrt(3 + 3*sqrt(3)) - sqrt(10 + 6*sqrt(3)) + assert z.is_positive is False # it's 0 + z = S('''-2**(1/3)*(3*sqrt(93) + 29)**2 - 4*(3*sqrt(93) + 29)**(4/3) + + 12*sqrt(93)*(3*sqrt(93) + 29)**(1/3) + 116*(3*sqrt(93) + 29)**(1/3) + + 174*2**(1/3)*sqrt(93) + 1678*2**(1/3)''') + assert z.is_positive is False # it's 0 + z = 2*(-3*tan(19*pi/90) + sqrt(3))*cos(11*pi/90)*cos(19*pi/90) - \ + sqrt(3)*(-3 + 4*cos(19*pi/90)**2) + assert z.is_positive is not True # it's zero and it shouldn't hang + z = S('''9*(3*sqrt(93) + 29)**(2/3)*((3*sqrt(93) + + 29)**(1/3)*(-2**(2/3)*(3*sqrt(93) + 29)**(1/3) - 2) - 2*2**(1/3))**3 + + 72*(3*sqrt(93) + 29)**(2/3)*(81*sqrt(93) + 783) + (162*sqrt(93) + + 1566)*((3*sqrt(93) + 29)**(1/3)*(-2**(2/3)*(3*sqrt(93) + 29)**(1/3) - + 2) - 2*2**(1/3))**2''') + assert z.is_positive is False # it's 0 (and a single _mexpand isn't enough) + + +def test_Add_is_zero(): + x, y = symbols('x y', zero=True) + assert (x + y).is_zero + + # Issue 15873 + e = -2*I + (1 + I)**2 + assert e.is_zero is None + + +def test_issue_14392(): + assert (sin(zoo)**2).as_real_imag() == (nan, nan) + + +def test_divmod(): + assert divmod(x, y) == (x//y, x % y) + assert divmod(x, 3) == (x//3, x % 3) + assert divmod(3, x) == (3//x, 3 % x) + + +def test__neg__(): + assert -(x*y) == -x*y + assert -(-x*y) == x*y + assert -(1.*x) == -1.*x + assert -(-1.*x) == 1.*x + assert -(2.*x) == -2.*x + assert -(-2.*x) == 2.*x + with distribute(False): + eq = -(x + y) + assert eq.is_Mul and eq.args == (-1, x + y) + with evaluate(False): + eq = -(x + y) + assert eq.is_Mul and eq.args == (-1, x + y) + + +def test_issue_18507(): + assert Mul(zoo, zoo, 0) is nan + + +def test_issue_17130(): + e = Add(b, -b, I, -I, evaluate=False) + assert e.is_zero is None # ideally this would be True + + +def test_issue_21034(): + e = -I*log((re(asin(5)) + I*im(asin(5)))/sqrt(re(asin(5))**2 + im(asin(5))**2))/pi + assert e.round(2) + + +def test_issue_22021(): + from sympy.calculus.accumulationbounds import AccumBounds + # these objects are special cases in Mul + from sympy.tensor.tensor import TensorIndexType, tensor_indices, tensor_heads + L = TensorIndexType("L") + i = tensor_indices("i", L) + A, B = tensor_heads("A B", [L]) + e = A(i) + B(i) + assert -e == -1*e + e = zoo + x + assert -e == -1*e + a = AccumBounds(1, 2) + e = a + x + assert -e == -1*e + for args in permutations((zoo, a, x)): + e = Add(*args, evaluate=False) + assert -e == -1*e + assert 2*Add(1, x, x, evaluate=False) == 4*x + 2 + + +def test_issue_22244(): + assert -(zoo*x) == zoo*x + + +def test_issue_22453(): + from sympy.utilities.iterables import cartes + e = Symbol('e', extended_positive=True) + for a, b in cartes(*[[oo, -oo, 3]]*2): + if a == b == 3: + continue + i = a + I*b + assert i**(1 + e) is S.ComplexInfinity + assert i**-e is S.Zero + assert unchanged(Pow, i, e) + assert 1/(oo + I*oo) is S.Zero + r, i = [Dummy(infinite=True, extended_real=True) for _ in range(2)] + assert 1/(r + I*i) is S.Zero + assert 1/(3 + I*i) is S.Zero + assert 1/(r + I*3) is S.Zero + + +def test_issue_22613(): + assert (0**(x - 2)).as_content_primitive() == (1, 0**(x - 2)) + assert (0**(x + 2)).as_content_primitive() == (1, 0**(x + 2)) + + +def test_issue_25176(): + assert sqrt(-4*3**(S(3)/4)*I/3) == 2*3**(S(7)/8)*sqrt(-I)/3 diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_assumptions.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_assumptions.py new file mode 100644 index 0000000000000000000000000000000000000000..574e90178fb489fe99c99ea0c72df57ceec4b249 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_assumptions.py @@ -0,0 +1,1335 @@ +from sympy.core.mod import Mod +from sympy.core.numbers import (I, oo, pi) +from sympy.functions.combinatorial.factorials import factorial +from sympy.functions.elementary.exponential import (exp, log) +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.trigonometric import (asin, sin) +from sympy.simplify.simplify import simplify +from sympy.core import Symbol, S, Rational, Integer, Dummy, Wild, Pow +from sympy.core.assumptions import (assumptions, check_assumptions, + failing_assumptions, common_assumptions, _generate_assumption_rules, + _load_pre_generated_assumption_rules) +from sympy.core.facts import InconsistentAssumptions +from sympy.core.random import seed +from sympy.combinatorics import Permutation +from sympy.combinatorics.perm_groups import PermutationGroup + +from sympy.testing.pytest import raises, XFAIL + + +def test_symbol_unset(): + x = Symbol('x', real=True, integer=True) + assert x.is_real is True + assert x.is_integer is True + assert x.is_imaginary is False + assert x.is_noninteger is False + assert x.is_number is False + + +def test_zero(): + z = Integer(0) + assert z.is_commutative is True + assert z.is_integer is True + assert z.is_rational is True + assert z.is_algebraic is True + assert z.is_transcendental is False + assert z.is_real is True + assert z.is_complex is True + assert z.is_noninteger is False + assert z.is_irrational is False + assert z.is_imaginary is False + assert z.is_positive is False + assert z.is_negative is False + assert z.is_nonpositive is True + assert z.is_nonnegative is True + assert z.is_even is True + assert z.is_odd is False + assert z.is_finite is True + assert z.is_infinite is False + assert z.is_comparable is True + assert z.is_prime is False + assert z.is_composite is False + assert z.is_number is True + + +def test_one(): + z = Integer(1) + assert z.is_commutative is True + assert z.is_integer is True + assert z.is_rational is True + assert z.is_algebraic is True + assert z.is_transcendental is False + assert z.is_real is True + assert z.is_complex is True + assert z.is_noninteger is False + assert z.is_irrational is False + assert z.is_imaginary is False + assert z.is_positive is True + assert z.is_negative is False + assert z.is_nonpositive is False + assert z.is_nonnegative is True + assert z.is_even is False + assert z.is_odd is True + assert z.is_finite is True + assert z.is_infinite is False + assert z.is_comparable is True + assert z.is_prime is False + assert z.is_number is True + assert z.is_composite is False # issue 8807 + + +def test_negativeone(): + z = Integer(-1) + assert z.is_commutative is True + assert z.is_integer is True + assert z.is_rational is True + assert z.is_algebraic is True + assert z.is_transcendental is False + assert z.is_real is True + assert z.is_complex is True + assert z.is_noninteger is False + assert z.is_irrational is False + assert z.is_imaginary is False + assert z.is_positive is False + assert z.is_negative is True + assert z.is_nonpositive is True + assert z.is_nonnegative is False + assert z.is_even is False + assert z.is_odd is True + assert z.is_finite is True + assert z.is_infinite is False + assert z.is_comparable is True + assert z.is_prime is False + assert z.is_composite is False + assert z.is_number is True + + +def test_infinity(): + oo = S.Infinity + + assert oo.is_commutative is True + assert oo.is_integer is False + assert oo.is_rational is False + assert oo.is_algebraic is False + assert oo.is_transcendental is False + assert oo.is_extended_real is True + assert oo.is_real is False + assert oo.is_complex is False + assert oo.is_noninteger is True + assert oo.is_irrational is False + assert oo.is_imaginary is False + assert oo.is_nonzero is False + assert oo.is_positive is False + assert oo.is_negative is False + assert oo.is_nonpositive is False + assert oo.is_nonnegative is False + assert oo.is_extended_nonzero is True + assert oo.is_extended_positive is True + assert oo.is_extended_negative is False + assert oo.is_extended_nonpositive is False + assert oo.is_extended_nonnegative is True + assert oo.is_even is False + assert oo.is_odd is False + assert oo.is_finite is False + assert oo.is_infinite is True + assert oo.is_comparable is True + assert oo.is_prime is False + assert oo.is_composite is False + assert oo.is_number is True + + +def test_neg_infinity(): + mm = S.NegativeInfinity + + assert mm.is_commutative is True + assert mm.is_integer is False + assert mm.is_rational is False + assert mm.is_algebraic is False + assert mm.is_transcendental is False + assert mm.is_extended_real is True + assert mm.is_real is False + assert mm.is_complex is False + assert mm.is_noninteger is True + assert mm.is_irrational is False + assert mm.is_imaginary is False + assert mm.is_nonzero is False + assert mm.is_positive is False + assert mm.is_negative is False + assert mm.is_nonpositive is False + assert mm.is_nonnegative is False + assert mm.is_extended_nonzero is True + assert mm.is_extended_positive is False + assert mm.is_extended_negative is True + assert mm.is_extended_nonpositive is True + assert mm.is_extended_nonnegative is False + assert mm.is_even is False + assert mm.is_odd is False + assert mm.is_finite is False + assert mm.is_infinite is True + assert mm.is_comparable is True + assert mm.is_prime is False + assert mm.is_composite is False + assert mm.is_number is True + + +def test_zoo(): + zoo = S.ComplexInfinity + assert zoo.is_complex is False + assert zoo.is_real is False + assert zoo.is_prime is False + + +def test_nan(): + nan = S.NaN + + assert nan.is_commutative is True + assert nan.is_integer is None + assert nan.is_rational is None + assert nan.is_algebraic is None + assert nan.is_transcendental is None + assert nan.is_real is None + assert nan.is_complex is None + assert nan.is_noninteger is None + assert nan.is_irrational is None + assert nan.is_imaginary is None + assert nan.is_positive is None + assert nan.is_negative is None + assert nan.is_nonpositive is None + assert nan.is_nonnegative is None + assert nan.is_even is None + assert nan.is_odd is None + assert nan.is_finite is None + assert nan.is_infinite is None + assert nan.is_comparable is False + assert nan.is_prime is None + assert nan.is_composite is None + assert nan.is_number is True + + +def test_pos_rational(): + r = Rational(3, 4) + assert r.is_commutative is True + assert r.is_integer is False + assert r.is_rational is True + assert r.is_algebraic is True + assert r.is_transcendental is False + assert r.is_real is True + assert r.is_complex is True + assert r.is_noninteger is True + assert r.is_irrational is False + assert r.is_imaginary is False + assert r.is_positive is True + assert r.is_negative is False + assert r.is_nonpositive is False + assert r.is_nonnegative is True + assert r.is_even is False + assert r.is_odd is False + assert r.is_finite is True + assert r.is_infinite is False + assert r.is_comparable is True + assert r.is_prime is False + assert r.is_composite is False + + r = Rational(1, 4) + assert r.is_nonpositive is False + assert r.is_positive is True + assert r.is_negative is False + assert r.is_nonnegative is True + r = Rational(5, 4) + assert r.is_negative is False + assert r.is_positive is True + assert r.is_nonpositive is False + assert r.is_nonnegative is True + r = Rational(5, 3) + assert r.is_nonnegative is True + assert r.is_positive is True + assert r.is_negative is False + assert r.is_nonpositive is False + + +def test_neg_rational(): + r = Rational(-3, 4) + assert r.is_positive is False + assert r.is_nonpositive is True + assert r.is_negative is True + assert r.is_nonnegative is False + r = Rational(-1, 4) + assert r.is_nonpositive is True + assert r.is_positive is False + assert r.is_negative is True + assert r.is_nonnegative is False + r = Rational(-5, 4) + assert r.is_negative is True + assert r.is_positive is False + assert r.is_nonpositive is True + assert r.is_nonnegative is False + r = Rational(-5, 3) + assert r.is_nonnegative is False + assert r.is_positive is False + assert r.is_negative is True + assert r.is_nonpositive is True + + +def test_pi(): + z = S.Pi + assert z.is_commutative is True + assert z.is_integer is False + assert z.is_rational is False + assert z.is_algebraic is False + assert z.is_transcendental is True + assert z.is_real is True + assert z.is_complex is True + assert z.is_noninteger is True + assert z.is_irrational is True + assert z.is_imaginary is False + assert z.is_positive is True + assert z.is_negative is False + assert z.is_nonpositive is False + assert z.is_nonnegative is True + assert z.is_even is False + assert z.is_odd is False + assert z.is_finite is True + assert z.is_infinite is False + assert z.is_comparable is True + assert z.is_prime is False + assert z.is_composite is False + + +def test_E(): + z = S.Exp1 + assert z.is_commutative is True + assert z.is_integer is False + assert z.is_rational is False + assert z.is_algebraic is False + assert z.is_transcendental is True + assert z.is_real is True + assert z.is_complex is True + assert z.is_noninteger is True + assert z.is_irrational is True + assert z.is_imaginary is False + assert z.is_positive is True + assert z.is_negative is False + assert z.is_nonpositive is False + assert z.is_nonnegative is True + assert z.is_even is False + assert z.is_odd is False + assert z.is_finite is True + assert z.is_infinite is False + assert z.is_comparable is True + assert z.is_prime is False + assert z.is_composite is False + + +def test_I(): + z = S.ImaginaryUnit + assert z.is_commutative is True + assert z.is_integer is False + assert z.is_rational is False + assert z.is_algebraic is True + assert z.is_transcendental is False + assert z.is_real is False + assert z.is_complex is True + assert z.is_noninteger is False + assert z.is_irrational is False + assert z.is_imaginary is True + assert z.is_positive is False + assert z.is_negative is False + assert z.is_nonpositive is False + assert z.is_nonnegative is False + assert z.is_even is False + assert z.is_odd is False + assert z.is_finite is True + assert z.is_infinite is False + assert z.is_comparable is False + assert z.is_prime is False + assert z.is_composite is False + + +def test_symbol_real_false(): + # issue 3848 + a = Symbol('a', real=False) + + assert a.is_real is False + assert a.is_integer is False + assert a.is_zero is False + + assert a.is_negative is False + assert a.is_positive is False + assert a.is_nonnegative is False + assert a.is_nonpositive is False + assert a.is_nonzero is False + + assert a.is_extended_negative is None + assert a.is_extended_positive is None + assert a.is_extended_nonnegative is None + assert a.is_extended_nonpositive is None + assert a.is_extended_nonzero is None + + +def test_symbol_extended_real_false(): + # issue 3848 + a = Symbol('a', extended_real=False) + + assert a.is_real is False + assert a.is_integer is False + assert a.is_zero is False + + assert a.is_negative is False + assert a.is_positive is False + assert a.is_nonnegative is False + assert a.is_nonpositive is False + assert a.is_nonzero is False + + assert a.is_extended_negative is False + assert a.is_extended_positive is False + assert a.is_extended_nonnegative is False + assert a.is_extended_nonpositive is False + assert a.is_extended_nonzero is False + + +def test_symbol_imaginary(): + a = Symbol('a', imaginary=True) + + assert a.is_real is False + assert a.is_integer is False + assert a.is_negative is False + assert a.is_positive is False + assert a.is_nonnegative is False + assert a.is_nonpositive is False + assert a.is_zero is False + assert a.is_nonzero is False # since nonzero -> real + + +def test_symbol_zero(): + x = Symbol('x', zero=True) + assert x.is_positive is False + assert x.is_nonpositive + assert x.is_negative is False + assert x.is_nonnegative + assert x.is_zero is True + # TODO Change to x.is_nonzero is None + # See https://github.com/sympy/sympy/pull/9583 + assert x.is_nonzero is False + assert x.is_finite is True + + +def test_symbol_positive(): + x = Symbol('x', positive=True) + assert x.is_positive is True + assert x.is_nonpositive is False + assert x.is_negative is False + assert x.is_nonnegative is True + assert x.is_zero is False + assert x.is_nonzero is True + + +def test_neg_symbol_positive(): + x = -Symbol('x', positive=True) + assert x.is_positive is False + assert x.is_nonpositive is True + assert x.is_negative is True + assert x.is_nonnegative is False + assert x.is_zero is False + assert x.is_nonzero is True + + +def test_symbol_nonpositive(): + x = Symbol('x', nonpositive=True) + assert x.is_positive is False + assert x.is_nonpositive is True + assert x.is_negative is None + assert x.is_nonnegative is None + assert x.is_zero is None + assert x.is_nonzero is None + + +def test_neg_symbol_nonpositive(): + x = -Symbol('x', nonpositive=True) + assert x.is_positive is None + assert x.is_nonpositive is None + assert x.is_negative is False + assert x.is_nonnegative is True + assert x.is_zero is None + assert x.is_nonzero is None + + +def test_symbol_falsepositive(): + x = Symbol('x', positive=False) + assert x.is_positive is False + assert x.is_nonpositive is None + assert x.is_negative is None + assert x.is_nonnegative is None + assert x.is_zero is None + assert x.is_nonzero is None + + +def test_symbol_falsepositive_mul(): + # To test pull request 9379 + # Explicit handling of arg.is_positive=False was added to Mul._eval_is_positive + x = 2*Symbol('x', positive=False) + assert x.is_positive is False # This was None before + assert x.is_nonpositive is None + assert x.is_negative is None + assert x.is_nonnegative is None + assert x.is_zero is None + assert x.is_nonzero is None + + +@XFAIL +def test_symbol_infinitereal_mul(): + ix = Symbol('ix', infinite=True, extended_real=True) + assert (-ix).is_extended_positive is None + + +def test_neg_symbol_falsepositive(): + x = -Symbol('x', positive=False) + assert x.is_positive is None + assert x.is_nonpositive is None + assert x.is_negative is False + assert x.is_nonnegative is None + assert x.is_zero is None + assert x.is_nonzero is None + + +def test_neg_symbol_falsenegative(): + # To test pull request 9379 + # Explicit handling of arg.is_negative=False was added to Mul._eval_is_positive + x = -Symbol('x', negative=False) + assert x.is_positive is False # This was None before + assert x.is_nonpositive is None + assert x.is_negative is None + assert x.is_nonnegative is None + assert x.is_zero is None + assert x.is_nonzero is None + + +def test_symbol_falsepositive_real(): + x = Symbol('x', positive=False, real=True) + assert x.is_positive is False + assert x.is_nonpositive is True + assert x.is_negative is None + assert x.is_nonnegative is None + assert x.is_zero is None + assert x.is_nonzero is None + + +def test_neg_symbol_falsepositive_real(): + x = -Symbol('x', positive=False, real=True) + assert x.is_positive is None + assert x.is_nonpositive is None + assert x.is_negative is False + assert x.is_nonnegative is True + assert x.is_zero is None + assert x.is_nonzero is None + + +def test_symbol_falsenonnegative(): + x = Symbol('x', nonnegative=False) + assert x.is_positive is False + assert x.is_nonpositive is None + assert x.is_negative is None + assert x.is_nonnegative is False + assert x.is_zero is False + assert x.is_nonzero is None + + +@XFAIL +def test_neg_symbol_falsenonnegative(): + x = -Symbol('x', nonnegative=False) + assert x.is_positive is None + assert x.is_nonpositive is False # this currently returns None + assert x.is_negative is False # this currently returns None + assert x.is_nonnegative is None + assert x.is_zero is False # this currently returns None + assert x.is_nonzero is True # this currently returns None + + +def test_symbol_falsenonnegative_real(): + x = Symbol('x', nonnegative=False, real=True) + assert x.is_positive is False + assert x.is_nonpositive is True + assert x.is_negative is True + assert x.is_nonnegative is False + assert x.is_zero is False + assert x.is_nonzero is True + + +def test_neg_symbol_falsenonnegative_real(): + x = -Symbol('x', nonnegative=False, real=True) + assert x.is_positive is True + assert x.is_nonpositive is False + assert x.is_negative is False + assert x.is_nonnegative is True + assert x.is_zero is False + assert x.is_nonzero is True + + +def test_prime(): + assert S.NegativeOne.is_prime is False + assert S(-2).is_prime is False + assert S(-4).is_prime is False + assert S.Zero.is_prime is False + assert S.One.is_prime is False + assert S(2).is_prime is True + assert S(17).is_prime is True + assert S(4).is_prime is False + + +def test_composite(): + assert S.NegativeOne.is_composite is False + assert S(-2).is_composite is False + assert S(-4).is_composite is False + assert S.Zero.is_composite is False + assert S(2).is_composite is False + assert S(17).is_composite is False + assert S(4).is_composite is True + x = Dummy(integer=True, positive=True, prime=False) + assert x.is_composite is None # x could be 1 + assert (x + 1).is_composite is None + x = Dummy(positive=True, even=True, prime=False) + assert x.is_integer is True + assert x.is_composite is True + + +def test_prime_symbol(): + x = Symbol('x', prime=True) + assert x.is_prime is True + assert x.is_integer is True + assert x.is_positive is True + assert x.is_negative is False + assert x.is_nonpositive is False + assert x.is_nonnegative is True + + x = Symbol('x', prime=False) + assert x.is_prime is False + assert x.is_integer is None + assert x.is_positive is None + assert x.is_negative is None + assert x.is_nonpositive is None + assert x.is_nonnegative is None + + +def test_symbol_noncommutative(): + x = Symbol('x', commutative=True) + assert x.is_complex is None + + x = Symbol('x', commutative=False) + assert x.is_integer is False + assert x.is_rational is False + assert x.is_algebraic is False + assert x.is_irrational is False + assert x.is_real is False + assert x.is_complex is False + + +def test_other_symbol(): + x = Symbol('x', integer=True) + assert x.is_integer is True + assert x.is_real is True + assert x.is_finite is True + + x = Symbol('x', integer=True, nonnegative=True) + assert x.is_integer is True + assert x.is_nonnegative is True + assert x.is_negative is False + assert x.is_positive is None + assert x.is_finite is True + + x = Symbol('x', integer=True, nonpositive=True) + assert x.is_integer is True + assert x.is_nonpositive is True + assert x.is_positive is False + assert x.is_negative is None + assert x.is_finite is True + + x = Symbol('x', odd=True) + assert x.is_odd is True + assert x.is_even is False + assert x.is_integer is True + assert x.is_finite is True + + x = Symbol('x', odd=False) + assert x.is_odd is False + assert x.is_even is None + assert x.is_integer is None + assert x.is_finite is None + + x = Symbol('x', even=True) + assert x.is_even is True + assert x.is_odd is False + assert x.is_integer is True + assert x.is_finite is True + + x = Symbol('x', even=False) + assert x.is_even is False + assert x.is_odd is None + assert x.is_integer is None + assert x.is_finite is None + + x = Symbol('x', integer=True, nonnegative=True) + assert x.is_integer is True + assert x.is_nonnegative is True + assert x.is_finite is True + + x = Symbol('x', integer=True, nonpositive=True) + assert x.is_integer is True + assert x.is_nonpositive is True + assert x.is_finite is True + + x = Symbol('x', rational=True) + assert x.is_real is True + assert x.is_finite is True + + x = Symbol('x', rational=False) + assert x.is_real is None + assert x.is_finite is None + + x = Symbol('x', irrational=True) + assert x.is_real is True + assert x.is_finite is True + + x = Symbol('x', irrational=False) + assert x.is_real is None + assert x.is_finite is None + + with raises(AttributeError): + x.is_real = False + + x = Symbol('x', algebraic=True) + assert x.is_transcendental is False + x = Symbol('x', transcendental=True) + assert x.is_algebraic is False + assert x.is_rational is False + assert x.is_integer is False + + +def test_evaluate_false(): + # Previously this failed because the assumptions query would make new + # expressions and some of the evaluation logic would fail under + # evaluate(False). + from sympy.core.parameters import evaluate + from sympy.abc import x, h + f = 2**x**7 + with evaluate(False): + fh = f.xreplace({x: x+h}) + assert fh.exp.is_rational is None + + +def test_issue_3825(): + """catch: hash instability""" + x = Symbol("x") + y = Symbol("y") + a1 = x + y + a2 = y + x + a2.is_comparable + + h1 = hash(a1) + h2 = hash(a2) + assert h1 == h2 + + +def test_issue_4822(): + z = (-1)**Rational(1, 3)*(1 - I*sqrt(3)) + assert z.is_real in [True, None] + + +def test_hash_vs_typeinfo(): + """seemingly different typeinfo, but in fact equal""" + + # the following two are semantically equal + x1 = Symbol('x', even=True) + x2 = Symbol('x', integer=True, odd=False) + + assert hash(x1) == hash(x2) + assert x1 == x2 + + +def test_hash_vs_typeinfo_2(): + """different typeinfo should mean !eq""" + # the following two are semantically different + x = Symbol('x') + x1 = Symbol('x', even=True) + + assert x != x1 + assert hash(x) != hash(x1) # This might fail with very low probability + + +def test_hash_vs_eq(): + """catch: different hash for equal objects""" + a = 1 + S.Pi # important: do not fold it into a Number instance + ha = hash(a) # it should be Add/Mul/... to trigger the bug + + a.is_positive # this uses .evalf() and deduces it is positive + assert a.is_positive is True + + # be sure that hash stayed the same + assert ha == hash(a) + + # now b should be the same expression + b = a.expand(trig=True) + hb = hash(b) + + assert a == b + assert ha == hb + + +def test_Add_is_pos_neg(): + # these cover lines not covered by the rest of tests in core + n = Symbol('n', extended_negative=True, infinite=True) + nn = Symbol('n', extended_nonnegative=True, infinite=True) + np = Symbol('n', extended_nonpositive=True, infinite=True) + p = Symbol('p', extended_positive=True, infinite=True) + r = Dummy(extended_real=True, finite=False) + x = Symbol('x') + xf = Symbol('xf', finite=True) + assert (n + p).is_extended_positive is None + assert (n + x).is_extended_positive is None + assert (p + x).is_extended_positive is None + assert (n + p).is_extended_negative is None + assert (n + x).is_extended_negative is None + assert (p + x).is_extended_negative is None + + assert (n + xf).is_extended_positive is False + assert (p + xf).is_extended_positive is True + assert (n + xf).is_extended_negative is True + assert (p + xf).is_extended_negative is False + + assert (x - S.Infinity).is_extended_negative is None # issue 7798 + # issue 8046, 16.2 + assert (p + nn).is_extended_positive + assert (n + np).is_extended_negative + assert (p + r).is_extended_positive is None + + +def test_Add_is_imaginary(): + nn = Dummy(nonnegative=True) + assert (I*nn + I).is_imaginary # issue 8046, 17 + + +def test_Add_is_algebraic(): + a = Symbol('a', algebraic=True) + b = Symbol('a', algebraic=True) + na = Symbol('na', algebraic=False) + nb = Symbol('nb', algebraic=False) + x = Symbol('x') + assert (a + b).is_algebraic + assert (na + nb).is_algebraic is None + assert (a + na).is_algebraic is False + assert (a + x).is_algebraic is None + assert (na + x).is_algebraic is None + + +def test_Mul_is_algebraic(): + a = Symbol('a', algebraic=True) + b = Symbol('b', algebraic=True) + na = Symbol('na', algebraic=False) + an = Symbol('an', algebraic=True, nonzero=True) + nb = Symbol('nb', algebraic=False) + x = Symbol('x') + assert (a*b).is_algebraic is True + assert (na*nb).is_algebraic is None + assert (a*na).is_algebraic is None + assert (an*na).is_algebraic is False + assert (a*x).is_algebraic is None + assert (na*x).is_algebraic is None + + +def test_Pow_is_algebraic(): + e = Symbol('e', algebraic=True) + + assert Pow(1, e, evaluate=False).is_algebraic + assert Pow(0, e, evaluate=False).is_algebraic + + a = Symbol('a', algebraic=True) + azf = Symbol('azf', algebraic=True, zero=False) + na = Symbol('na', algebraic=False) + ia = Symbol('ia', algebraic=True, irrational=True) + ib = Symbol('ib', algebraic=True, irrational=True) + r = Symbol('r', rational=True) + x = Symbol('x') + assert (a**2).is_algebraic is True + assert (a**r).is_algebraic is None + assert (azf**r).is_algebraic is True + assert (a**x).is_algebraic is None + assert (na**r).is_algebraic is None + assert (ia**r).is_algebraic is True + assert (ia**ib).is_algebraic is False + + assert (a**e).is_algebraic is None + + # Gelfond-Schneider constant: + assert Pow(2, sqrt(2), evaluate=False).is_algebraic is False + + assert Pow(S.GoldenRatio, sqrt(3), evaluate=False).is_algebraic is False + + # issue 8649 + t = Symbol('t', real=True, transcendental=True) + n = Symbol('n', integer=True) + assert (t**n).is_algebraic is None + assert (t**n).is_integer is None + + assert (pi**3).is_algebraic is False + r = Symbol('r', zero=True) + assert (pi**r).is_algebraic is True + + +def test_Mul_is_prime_composite(): + x = Symbol('x', positive=True, integer=True) + y = Symbol('y', positive=True, integer=True) + assert (x*y).is_prime is None + assert ( (x+1)*(y+1) ).is_prime is False + assert ( (x+1)*(y+1) ).is_composite is True + + x = Symbol('x', positive=True) + assert ( (x+1)*(y+1) ).is_prime is None + assert ( (x+1)*(y+1) ).is_composite is None + + +def test_Pow_is_pos_neg(): + z = Symbol('z', real=True) + w = Symbol('w', nonpositive=True) + + assert (S.NegativeOne**S(2)).is_positive is True + assert (S.One**z).is_positive is True + assert (S.NegativeOne**S(3)).is_positive is False + assert (S.Zero**S.Zero).is_positive is True # 0**0 is 1 + assert (w**S(3)).is_positive is False + assert (w**S(2)).is_positive is None + assert (I**2).is_positive is False + assert (I**4).is_positive is True + + # tests emerging from #16332 issue + p = Symbol('p', zero=True) + q = Symbol('q', zero=False, real=True) + j = Symbol('j', zero=False, even=True) + x = Symbol('x', zero=True) + y = Symbol('y', zero=True) + assert (p**q).is_positive is False + assert (p**q).is_negative is False + assert (p**j).is_positive is False + assert (x**y).is_positive is True # 0**0 + assert (x**y).is_negative is False + + +def test_Pow_is_prime_composite(): + x = Symbol('x', positive=True, integer=True) + y = Symbol('y', positive=True, integer=True) + assert (x**y).is_prime is None + assert ( x**(y+1) ).is_prime is False + assert ( x**(y+1) ).is_composite is None + assert ( (x+1)**(y+1) ).is_composite is True + assert ( (-x-1)**(2*y) ).is_composite is True + + x = Symbol('x', positive=True) + assert (x**y).is_prime is None + + +def test_Mul_is_infinite(): + x = Symbol('x') + f = Symbol('f', finite=True) + i = Symbol('i', infinite=True) + z = Dummy(zero=True) + nzf = Dummy(finite=True, zero=False) + from sympy.core.mul import Mul + assert (x*f).is_finite is None + assert (x*i).is_finite is None + assert (f*i).is_finite is None + assert (x*f*i).is_finite is None + assert (z*i).is_finite is None + assert (nzf*i).is_finite is False + assert (z*f).is_finite is True + assert Mul(0, f, evaluate=False).is_finite is True + assert Mul(0, i, evaluate=False).is_finite is None + + assert (x*f).is_infinite is None + assert (x*i).is_infinite is None + assert (f*i).is_infinite is None + assert (x*f*i).is_infinite is None + assert (z*i).is_infinite is S.NaN.is_infinite + assert (nzf*i).is_infinite is True + assert (z*f).is_infinite is False + assert Mul(0, f, evaluate=False).is_infinite is False + assert Mul(0, i, evaluate=False).is_infinite is S.NaN.is_infinite + + +def test_Add_is_infinite(): + x = Symbol('x') + f = Symbol('f', finite=True) + i = Symbol('i', infinite=True) + i2 = Symbol('i2', infinite=True) + z = Dummy(zero=True) + nzf = Dummy(finite=True, zero=False) + from sympy.core.add import Add + assert (x+f).is_finite is None + assert (x+i).is_finite is None + assert (f+i).is_finite is False + assert (x+f+i).is_finite is None + assert (z+i).is_finite is False + assert (nzf+i).is_finite is False + assert (z+f).is_finite is True + assert (i+i2).is_finite is None + assert Add(0, f, evaluate=False).is_finite is True + assert Add(0, i, evaluate=False).is_finite is False + + assert (x+f).is_infinite is None + assert (x+i).is_infinite is None + assert (f+i).is_infinite is True + assert (x+f+i).is_infinite is None + assert (z+i).is_infinite is True + assert (nzf+i).is_infinite is True + assert (z+f).is_infinite is False + assert (i+i2).is_infinite is None + assert Add(0, f, evaluate=False).is_infinite is False + assert Add(0, i, evaluate=False).is_infinite is True + + +def test_special_is_rational(): + i = Symbol('i', integer=True) + i2 = Symbol('i2', integer=True) + ni = Symbol('ni', integer=True, nonzero=True) + r = Symbol('r', rational=True) + rn = Symbol('r', rational=True, nonzero=True) + nr = Symbol('nr', irrational=True) + x = Symbol('x') + assert sqrt(3).is_rational is False + assert (3 + sqrt(3)).is_rational is False + assert (3*sqrt(3)).is_rational is False + assert exp(3).is_rational is False + assert exp(ni).is_rational is False + assert exp(rn).is_rational is False + assert exp(x).is_rational is None + assert exp(log(3), evaluate=False).is_rational is True + assert log(exp(3), evaluate=False).is_rational is True + assert log(3).is_rational is False + assert log(ni + 1).is_rational is False + assert log(rn + 1).is_rational is False + assert log(x).is_rational is None + assert (sqrt(3) + sqrt(5)).is_rational is None + assert (sqrt(3) + S.Pi).is_rational is False + assert (x**i).is_rational is None + assert (i**i).is_rational is True + assert (i**i2).is_rational is None + assert (r**i).is_rational is None + assert (r**r).is_rational is None + assert (r**x).is_rational is None + assert (nr**i).is_rational is None # issue 8598 + assert (nr**Symbol('z', zero=True)).is_rational + assert sin(1).is_rational is False + assert sin(ni).is_rational is False + assert sin(rn).is_rational is False + assert sin(x).is_rational is None + assert asin(r).is_rational is False + assert sin(asin(3), evaluate=False).is_rational is True + + +@XFAIL +def test_issue_6275(): + x = Symbol('x') + # both zero or both Muls...but neither "change would be very appreciated. + # This is similar to x/x => 1 even though if x = 0, it is really nan. + assert isinstance(x*0, type(0*S.Infinity)) + if 0*S.Infinity is S.NaN: + b = Symbol('b', finite=None) + assert (b*0).is_zero is None + + +def test_sanitize_assumptions(): + # issue 6666 + for cls in (Symbol, Dummy, Wild): + x = cls('x', real=1, positive=0) + assert x.is_real is True + assert x.is_positive is False + assert cls('', real=True, positive=None).is_positive is None + raises(ValueError, lambda: cls('', commutative=None)) + raises(ValueError, lambda: Symbol._sanitize({"commutative": None})) + + +def test_special_assumptions(): + e = -3 - sqrt(5) + (-sqrt(10)/2 - sqrt(2)/2)**2 + assert simplify(e < 0) is S.false + assert simplify(e > 0) is S.false + assert (e == 0) is False # it's not a literal 0 + assert e.equals(0) is True + + +def test_inconsistent(): + # cf. issues 5795 and 5545 + raises(InconsistentAssumptions, lambda: Symbol('x', real=True, + commutative=False)) + + +def test_issue_6631(): + assert ((-1)**(I)).is_real is True + assert ((-1)**(I*2)).is_real is True + assert ((-1)**(I/2)).is_real is True + assert ((-1)**(I*S.Pi)).is_real is True + assert (I**(I + 2)).is_real is True + + +def test_issue_2730(): + assert (1/(1 + I)).is_real is False + + +def test_issue_4149(): + assert (3 + I).is_complex + assert (3 + I).is_imaginary is False + assert (3*I + S.Pi*I).is_imaginary + # as Zero.is_imaginary is False, see issue 7649 + y = Symbol('y', real=True) + assert (3*I + S.Pi*I + y*I).is_imaginary is None + p = Symbol('p', positive=True) + assert (3*I + S.Pi*I + p*I).is_imaginary + n = Symbol('n', negative=True) + assert (-3*I - S.Pi*I + n*I).is_imaginary + + i = Symbol('i', imaginary=True) + assert ([(i**a).is_imaginary for a in range(4)] == + [False, True, False, True]) + + # tests from the PR #7887: + e = S("-sqrt(3)*I/2 + 0.866025403784439*I") + assert e.is_real is False + assert e.is_imaginary + + +def test_issue_2920(): + n = Symbol('n', negative=True) + assert sqrt(n).is_imaginary + + +def test_issue_7899(): + x = Symbol('x', real=True) + assert (I*x).is_real is None + assert ((x - I)*(x - 1)).is_zero is None + assert ((x - I)*(x - 1)).is_real is None + + +@XFAIL +def test_issue_7993(): + x = Dummy(integer=True) + y = Dummy(noninteger=True) + assert (x - y).is_zero is False + + +def test_issue_8075(): + raises(InconsistentAssumptions, lambda: Dummy(zero=True, finite=False)) + raises(InconsistentAssumptions, lambda: Dummy(zero=True, infinite=True)) + + +def test_issue_8642(): + x = Symbol('x', real=True, integer=False) + assert (x*2).is_integer is None, (x*2).is_integer + + +def test_issues_8632_8633_8638_8675_8992(): + p = Dummy(integer=True, positive=True) + nn = Dummy(integer=True, nonnegative=True) + assert (p - S.Half).is_positive + assert (p - 1).is_nonnegative + assert (nn + 1).is_positive + assert (-p + 1).is_nonpositive + assert (-nn - 1).is_negative + prime = Dummy(prime=True) + assert (prime - 2).is_nonnegative + assert (prime - 3).is_nonnegative is None + even = Dummy(positive=True, even=True) + assert (even - 2).is_nonnegative + + p = Dummy(positive=True) + assert (p/(p + 1) - 1).is_negative + assert ((p + 2)**3 - S.Half).is_positive + n = Dummy(negative=True) + assert (n - 3).is_nonpositive + + +def test_issue_9115_9150(): + n = Dummy('n', integer=True, nonnegative=True) + assert (factorial(n) >= 1) == True + assert (factorial(n) < 1) == False + + assert factorial(n + 1).is_even is None + assert factorial(n + 2).is_even is True + assert factorial(n + 2) >= 2 + + +def test_issue_9165(): + z = Symbol('z', zero=True) + f = Symbol('f', finite=False) + assert 0/z is S.NaN + assert 0*(1/z) is S.NaN + assert 0*f is S.NaN + + +def test_issue_10024(): + x = Dummy('x') + assert Mod(x, 2*pi).is_zero is None + + +def test_issue_10302(): + x = Symbol('x') + r = Symbol('r', real=True) + u = -(3*2**pi)**(1/pi) + 2*3**(1/pi) + i = u + u*I + + assert i.is_real is None # w/o simplification this should fail + assert (u + i).is_zero is None + assert (1 + i).is_zero is False + + a = Dummy('a', zero=True) + assert (a + I).is_zero is False + assert (a + r*I).is_zero is None + assert (a + I).is_imaginary + assert (a + x + I).is_imaginary is None + assert (a + r*I + I).is_imaginary is None + + +def test_complex_reciprocal_imaginary(): + assert (1 / (4 + 3*I)).is_imaginary is False + + +def test_issue_16313(): + x = Symbol('x', extended_real=False) + k = Symbol('k', real=True) + l = Symbol('l', real=True, zero=False) + assert (-x).is_real is False + assert (k*x).is_real is None # k can be zero also + assert (l*x).is_real is False + assert (l*x*x).is_real is None # since x*x can be a real number + assert (-x).is_positive is False + + +def test_issue_16579(): + # extended_real -> finite | infinite + x = Symbol('x', extended_real=True, infinite=False) + y = Symbol('y', extended_real=True, finite=False) + assert x.is_finite is True + assert y.is_infinite is True + + # With PR 16978, complex now implies finite + c = Symbol('c', complex=True) + assert c.is_finite is True + raises(InconsistentAssumptions, lambda: Dummy(complex=True, finite=False)) + + # Now infinite == !finite + nf = Symbol('nf', finite=False) + assert nf.is_infinite is True + + +def test_issue_17556(): + z = I*oo + assert z.is_imaginary is False + assert z.is_finite is False + + +def test_issue_21651(): + k = Symbol('k', positive=True, integer=True) + exp = 2*2**(-k) + assert exp.is_integer is None + + +def test_assumptions_copy(): + assert assumptions(Symbol('x'), {"commutative": True} + ) == {'commutative': True} + assert assumptions(Symbol('x'), ['integer']) == {} + assert assumptions(Symbol('x'), ['commutative'] + ) == {'commutative': True} + assert assumptions(Symbol('x')) == {'commutative': True} + assert assumptions(1)['positive'] + assert assumptions(3 + I) == { + 'algebraic': True, + 'commutative': True, + 'complex': True, + 'composite': False, + 'even': False, + 'extended_negative': False, + 'extended_nonnegative': False, + 'extended_nonpositive': False, + 'extended_nonzero': False, + 'extended_positive': False, + 'extended_real': False, + 'finite': True, + 'imaginary': False, + 'infinite': False, + 'integer': False, + 'irrational': False, + 'negative': False, + 'noninteger': False, + 'nonnegative': False, + 'nonpositive': False, + 'nonzero': False, + 'odd': False, + 'positive': False, + 'prime': False, + 'rational': False, + 'real': False, + 'transcendental': False, + 'zero': False} + + +def test_check_assumptions(): + assert check_assumptions(1, 0) is False + x = Symbol('x', positive=True) + assert check_assumptions(1, x) is True + assert check_assumptions(1, 1) is True + assert check_assumptions(-1, 1) is False + i = Symbol('i', integer=True) + # don't know if i is positive (or prime, etc...) + assert check_assumptions(i, 1) is None + assert check_assumptions(Dummy(integer=None), integer=True) is None + assert check_assumptions(Dummy(integer=None), integer=False) is None + assert check_assumptions(Dummy(integer=False), integer=True) is False + assert check_assumptions(Dummy(integer=True), integer=False) is False + # no T/F assumptions to check + assert check_assumptions(Dummy(integer=False), integer=None) is True + raises(ValueError, lambda: check_assumptions(2*x, x, positive=True)) + + +def test_failing_assumptions(): + x = Symbol('x', positive=True) + y = Symbol('y') + assert failing_assumptions(6*x + y, **x.assumptions0) == \ + {'real': None, 'imaginary': None, 'complex': None, 'hermitian': None, + 'positive': None, 'nonpositive': None, 'nonnegative': None, 'nonzero': None, + 'negative': None, 'zero': None, 'extended_real': None, 'finite': None, + 'infinite': None, 'extended_negative': None, 'extended_nonnegative': None, + 'extended_nonpositive': None, 'extended_nonzero': None, + 'extended_positive': None } + + +def test_common_assumptions(): + assert common_assumptions([0, 1, 2] + ) == {'algebraic': True, 'irrational': False, 'hermitian': + True, 'extended_real': True, 'real': True, 'extended_negative': + False, 'extended_nonnegative': True, 'integer': True, + 'rational': True, 'imaginary': False, 'complex': True, + 'commutative': True,'noninteger': False, 'composite': False, + 'infinite': False, 'nonnegative': True, 'finite': True, + 'transcendental': False,'negative': False} + assert common_assumptions([0, 1, 2], 'positive integer'.split() + ) == {'integer': True} + assert common_assumptions([0, 1, 2], []) == {} + assert common_assumptions([], ['integer']) == {} + assert common_assumptions([0], ['integer']) == {'integer': True} + +def test_pre_generated_assumption_rules_are_valid(): + # check the pre-generated assumptions match freshly generated assumptions + # if this check fails, consider updating the assumptions + # see sympy.core.assumptions._generate_assumption_rules + pre_generated_assumptions =_load_pre_generated_assumption_rules() + generated_assumptions =_generate_assumption_rules() + assert pre_generated_assumptions._to_python() == generated_assumptions._to_python(), "pre-generated assumptions are invalid, see sympy.core.assumptions._generate_assumption_rules" + + +def test_ask_shuffle(): + grp = PermutationGroup(Permutation(1, 0, 2), Permutation(2, 1, 3)) + + seed(123) + first = grp.random() + seed(123) + simplify(I) + second = grp.random() + seed(123) + simplify(-I) + third = grp.random() + + assert first == second == third diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_basic.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_basic.py new file mode 100644 index 0000000000000000000000000000000000000000..3a7adbb5dcf0d70089ff79028afa943b24ee0c42 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_basic.py @@ -0,0 +1,343 @@ +"""This tests sympy/core/basic.py with (ideally) no reference to subclasses +of Basic or Atom.""" +import collections +from typing import TypeVar, Generic + +from sympy.assumptions.ask import Q +from sympy.core.basic import (Basic, Atom, as_Basic, + _atomic, _aresame) +from sympy.core.containers import Tuple +from sympy.core.function import Function, Lambda +from sympy.core.numbers import I, pi, Float +from sympy.core.singleton import S +from sympy.core.symbol import symbols, Symbol, Dummy +from sympy.concrete.summations import Sum +from sympy.functions.elementary.trigonometric import (cos, sin) +from sympy.functions.special.gamma_functions import gamma +from sympy.integrals.integrals import Integral +from sympy.functions.elementary.exponential import exp +from sympy.testing.pytest import raises, warns_deprecated_sympy +from sympy.functions.elementary.complexes import Abs, sign +from sympy.functions.elementary.piecewise import Piecewise +from sympy.core.relational import Eq + +b1 = Basic() +b2 = Basic(b1) +b3 = Basic(b2) +b21 = Basic(b2, b1) +T = TypeVar('T') + + +def test__aresame(): + assert not _aresame(Basic(Tuple()), Basic()) + for i, j in [(S(2), S(2.)), (1., Float(1))]: + for do in range(2): + assert not _aresame(Basic(i), Basic(j)) + assert not _aresame(i, j) + i, j = j, i + + +def test_structure(): + assert b21.args == (b2, b1) + assert b21.func(*b21.args) == b21 + assert bool(b1) + + +def test_immutable(): + assert not hasattr(b1, '__dict__') + with raises(AttributeError): + b1.x = 1 + + +def test_equality(): + instances = [b1, b2, b3, b21, Basic(b1, b1, b1), Basic] + for i, b_i in enumerate(instances): + for j, b_j in enumerate(instances): + assert (b_i == b_j) == (i == j) + assert (b_i != b_j) == (i != j) + + assert Basic() != [] + assert not(Basic() == []) + assert Basic() != 0 + assert not(Basic() == 0) + + class Foo: + """ + Class that is unaware of Basic, and relies on both classes returning + the NotImplemented singleton for equivalence to evaluate to False. + + """ + + b = Basic() + foo = Foo() + + assert b != foo + assert foo != b + assert not b == foo + assert not foo == b + + class Bar: + """ + Class that considers itself equal to any instance of Basic, and relies + on Basic returning the NotImplemented singleton in order to achieve + a symmetric equivalence relation. + + """ + def __eq__(self, other): + if isinstance(other, Basic): + return True + return NotImplemented + + def __ne__(self, other): + return not self == other + + bar = Bar() + + assert b == bar + assert bar == b + assert not b != bar + assert not bar != b + + +def test_matches_basic(): + instances = [Basic(b1, b1, b2), Basic(b1, b2, b1), Basic(b2, b1, b1), + Basic(b1, b2), Basic(b2, b1), b2, b1] + for i, b_i in enumerate(instances): + for j, b_j in enumerate(instances): + if i == j: + assert b_i.matches(b_j) == {} + else: + assert b_i.matches(b_j) is None + assert b1.match(b1) == {} + + +def test_has(): + assert b21.has(b1) + assert b21.has(b3, b1) + assert b21.has(Basic) + assert not b1.has(b21, b3) + assert not b21.has() + assert not b21.has(str) + assert not Symbol("x").has("x") + + +def test_subs(): + assert b21.subs(b2, b1) == Basic(b1, b1) + assert b21.subs(b2, b21) == Basic(b21, b1) + assert b3.subs(b2, b1) == b2 + + assert b21.subs([(b2, b1), (b1, b2)]) == Basic(b2, b2) + + assert b21.subs({b1: b2, b2: b1}) == Basic(b2, b2) + assert b21.subs(collections.ChainMap({b1: b2}, {b2: b1})) == Basic(b2, b2) + assert b21.subs(collections.OrderedDict([(b2, b1), (b1, b2)])) == Basic(b2, b2) + + raises(ValueError, lambda: b21.subs('bad arg')) + raises(TypeError, lambda: b21.subs(b1, b2, b3)) + # dict(b1=foo) creates a string 'b1' but leaves foo unchanged; subs + # will convert the first to a symbol but will raise an error if foo + # cannot be sympified; sympification is strict if foo is not string + raises(TypeError, lambda: b21.subs(b1='bad arg')) + + assert Symbol("text").subs({"text": b1}) == b1 + assert Symbol("s").subs({"s": 1}) == 1 + + +def test_subs_with_unicode_symbols(): + expr = Symbol('var1') + replaced = expr.subs('var1', 'x') + assert replaced.name == 'x' + + replaced = expr.subs('var1', 'x') + assert replaced.name == 'x' + + +def test_atoms(): + assert b21.atoms() == {Basic()} + + +def test_free_symbols_empty(): + assert b21.free_symbols == set() + + +def test_doit(): + assert b21.doit() == b21 + assert b21.doit(deep=False) == b21 + + +def test_S(): + assert repr(S) == 'S' + + +def test_xreplace(): + assert b21.xreplace({b2: b1}) == Basic(b1, b1) + assert b21.xreplace({b2: b21}) == Basic(b21, b1) + assert b3.xreplace({b2: b1}) == b2 + assert Basic(b1, b2).xreplace({b1: b2, b2: b1}) == Basic(b2, b1) + assert Atom(b1).xreplace({b1: b2}) == Atom(b1) + assert Atom(b1).xreplace({Atom(b1): b2}) == b2 + raises(TypeError, lambda: b1.xreplace()) + raises(TypeError, lambda: b1.xreplace([b1, b2])) + for f in (exp, Function('f')): + assert f.xreplace({}) == f + assert f.xreplace({}, hack2=True) == f + assert f.xreplace({f: b1}) == b1 + assert f.xreplace({f: b1}, hack2=True) == b1 + + +def test_sorted_args(): + x = symbols('x') + assert b21._sorted_args == b21.args + raises(AttributeError, lambda: x._sorted_args) + +def test_call(): + x, y = symbols('x y') + # See the long history of this in issues 5026 and 5105. + + raises(TypeError, lambda: sin(x)({ x : 1, sin(x) : 2})) + raises(TypeError, lambda: sin(x)(1)) + + # No effect as there are no callables + assert sin(x).rcall(1) == sin(x) + assert (1 + sin(x)).rcall(1) == 1 + sin(x) + + # Effect in the presence of callables + l = Lambda(x, 2*x) + assert (l + x).rcall(y) == 2*y + x + assert (x**l).rcall(2) == x**4 + # TODO UndefinedFunction does not subclass Expr + #f = Function('f') + #assert (2*f)(x) == 2*f(x) + + assert (Q.real & Q.positive).rcall(x) == Q.real(x) & Q.positive(x) + + +def test_rewrite(): + x, y, z = symbols('x y z') + a, b = symbols('a b') + f1 = sin(x) + cos(x) + assert f1.rewrite(cos,exp) == exp(I*x)/2 + sin(x) + exp(-I*x)/2 + assert f1.rewrite([cos],sin) == sin(x) + sin(x + pi/2, evaluate=False) + f2 = sin(x) + cos(y)/gamma(z) + assert f2.rewrite(sin,exp) == -I*(exp(I*x) - exp(-I*x))/2 + cos(y)/gamma(z) + + assert f1.rewrite() == f1 + +def test_literal_evalf_is_number_is_zero_is_comparable(): + x = symbols('x') + f = Function('f') + + # issue 5033 + assert f.is_number is False + # issue 6646 + assert f(1).is_number is False + i = Integral(0, (x, x, x)) + # expressions that are symbolically 0 can be difficult to prove + # so in case there is some easy way to know if something is 0 + # it should appear in the is_zero property for that object; + # if is_zero is true evalf should always be able to compute that + # zero + assert i.n() == 0 + assert i.is_zero + assert i.is_number is False + assert i.evalf(2, strict=False) == 0 + + # issue 10268 + n = sin(1)**2 + cos(1)**2 - 1 + assert n.is_comparable is False + assert n.n(2).is_comparable is False + assert n.n(2).n(2).is_comparable + + +def test_as_Basic(): + assert as_Basic(1) is S.One + assert as_Basic(()) == Tuple() + raises(TypeError, lambda: as_Basic([])) + + +def test_atomic(): + g, h = map(Function, 'gh') + x = symbols('x') + assert _atomic(g(x + h(x))) == {g(x + h(x))} + assert _atomic(g(x + h(x)), recursive=True) == {h(x), x, g(x + h(x))} + assert _atomic(1) == set() + assert _atomic(Basic(S(1), S(2))) == set() + + +def test_as_dummy(): + u, v, x, y, z, _0, _1 = symbols('u v x y z _0 _1') + assert Lambda(x, x + 1).as_dummy() == Lambda(_0, _0 + 1) + assert Lambda(x, x + _0).as_dummy() == Lambda(_1, _0 + _1) + eq = (1 + Sum(x, (x, 1, x))) + ans = 1 + Sum(_0, (_0, 1, x)) + once = eq.as_dummy() + assert once == ans + twice = once.as_dummy() + assert twice == ans + assert Integral(x + _0, (x, x + 1), (_0, 1, 2) + ).as_dummy() == Integral(_0 + _1, (_0, x + 1), (_1, 1, 2)) + for T in (Symbol, Dummy): + d = T('x', real=True) + D = d.as_dummy() + assert D != d and D.func == Dummy and D.is_real is None + assert Dummy().as_dummy().is_commutative + assert Dummy(commutative=False).as_dummy().is_commutative is False + + +def test_canonical_variables(): + x, i0, i1 = symbols('x _:2') + assert Integral(x, (x, x + 1)).canonical_variables == {x: i0} + assert Integral(x, (x, x + 1), (i0, 1, 2)).canonical_variables == { + x: i0, i0: i1} + assert Integral(x, (x, x + i0)).canonical_variables == {x: i1} + + +def test_replace_exceptions(): + from sympy.core.symbol import Wild + x, y = symbols('x y') + e = (x**2 + x*y) + raises(TypeError, lambda: e.replace(sin, 2)) + b = Wild('b') + c = Wild('c') + raises(TypeError, lambda: e.replace(b*c, c.is_real)) + raises(TypeError, lambda: e.replace(b.is_real, 1)) + raises(TypeError, lambda: e.replace(lambda d: d.is_Number, 1)) + + +def test_ManagedProperties(): + # ManagedProperties is now deprecated. Here we do our best to check that if + # someone is using it then it does work in the way that it previously did + # but gives a deprecation warning. + from sympy.core.assumptions import ManagedProperties + + myclasses = [] + + class MyMeta(ManagedProperties): + def __init__(cls, *args, **kwargs): + myclasses.append('executed') + super().__init__(*args, **kwargs) + + code = """ +class MySubclass(Basic, metaclass=MyMeta): + pass +""" + with warns_deprecated_sympy(): + exec(code) + + assert myclasses == ['executed'] + + +def test_generic(): + # https://github.com/sympy/sympy/issues/25399 + class A(Symbol, Generic[T]): + pass + + class B(A[T]): + pass + + +def test_rewrite_abs(): + # https://github.com/sympy/sympy/issues/27323 + x = Symbol('x') + assert sign(x).rewrite(abs) == sign(x).rewrite(Abs) + assert sign(x).rewrite(abs) == Piecewise((0, Eq(x, 0)), (x / Abs(x), True)) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_cache.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_cache.py new file mode 100644 index 0000000000000000000000000000000000000000..9124fca70718299252929a9923f335dde25256eb --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_cache.py @@ -0,0 +1,91 @@ +import sys +from sympy.core.cache import cacheit, cached_property, lazy_function +from sympy.testing.pytest import raises + +def test_cacheit_doc(): + @cacheit + def testfn(): + "test docstring" + pass + + assert testfn.__doc__ == "test docstring" + assert testfn.__name__ == "testfn" + +def test_cacheit_unhashable(): + @cacheit + def testit(x): + return x + + assert testit(1) == 1 + assert testit(1) == 1 + a = {} + assert testit(a) == {} + a[1] = 2 + assert testit(a) == {1: 2} + +def test_cachit_exception(): + # Make sure the cache doesn't call functions multiple times when they + # raise TypeError + + a = [] + + @cacheit + def testf(x): + a.append(0) + raise TypeError + + raises(TypeError, lambda: testf(1)) + assert len(a) == 1 + + a.clear() + # Unhashable type + raises(TypeError, lambda: testf([])) + assert len(a) == 1 + + @cacheit + def testf2(x): + a.append(0) + raise TypeError("Error") + + a.clear() + raises(TypeError, lambda: testf2(1)) + assert len(a) == 1 + + a.clear() + # Unhashable type + raises(TypeError, lambda: testf2([])) + assert len(a) == 1 + +def test_cached_property(): + class A: + def __init__(self, value): + self.value = value + self.calls = 0 + + @cached_property + def prop(self): + self.calls = self.calls + 1 + return self.value + + a = A(2) + assert a.calls == 0 + assert a.prop == 2 + assert a.calls == 1 + assert a.prop == 2 + assert a.calls == 1 + b = A(None) + assert b.prop == None + + +def test_lazy_function(): + module_name='xmlrpc.client' + function_name = 'gzip_decode' + lazy = lazy_function(module_name, function_name) + assert lazy(b'') == b'' + assert module_name in sys.modules + assert function_name in str(lazy) + repr_lazy = repr(lazy) + assert 'LazyFunction' in repr_lazy + assert function_name in repr_lazy + + lazy = lazy_function('sympy.core.cache', 'cheap') diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_compatibility.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_compatibility.py new file mode 100644 index 0000000000000000000000000000000000000000..31d2bed07b21aa2fa489273dca9edfc9993cfd86 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_compatibility.py @@ -0,0 +1,6 @@ +from sympy.testing.pytest import warns_deprecated_sympy + +def test_compatibility_submodule(): + # Test the sympy.core.compatibility deprecation warning + with warns_deprecated_sympy(): + import sympy.core.compatibility # noqa:F401 diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_complex.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_complex.py new file mode 100644 index 0000000000000000000000000000000000000000..a607e0bdb4db859336aa30aa61f43bfb57d5df88 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_complex.py @@ -0,0 +1,226 @@ +from sympy.core.function import expand_complex +from sympy.core.numbers import (I, Integer, Rational, pi) +from sympy.core.power import Pow +from sympy.core.singleton import S +from sympy.core.symbol import (Symbol, symbols) +from sympy.functions.elementary.complexes import (Abs, conjugate, im, re, sign) +from sympy.functions.elementary.exponential import exp +from sympy.functions.elementary.hyperbolic import (cosh, coth, sinh, tanh) +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.trigonometric import (cos, cot, sin, tan) + +def test_complex(): + a = Symbol("a", real=True) + b = Symbol("b", real=True) + e = (a + I*b)*(a - I*b) + assert e.expand() == a**2 + b**2 + assert sqrt(I) == Pow(I, S.Half) + + +def test_conjugate(): + a = Symbol("a", real=True) + b = Symbol("b", real=True) + c = Symbol("c", imaginary=True) + d = Symbol("d", imaginary=True) + x = Symbol('x') + z = a + I*b + c + I*d + zc = a - I*b - c + I*d + assert conjugate(z) == zc + assert conjugate(exp(z)) == exp(zc) + assert conjugate(exp(I*x)) == exp(-I*conjugate(x)) + assert conjugate(z**5) == zc**5 + assert conjugate(abs(x)) == abs(x) + assert conjugate(sign(z)) == sign(zc) + assert conjugate(sin(z)) == sin(zc) + assert conjugate(cos(z)) == cos(zc) + assert conjugate(tan(z)) == tan(zc) + assert conjugate(cot(z)) == cot(zc) + assert conjugate(sinh(z)) == sinh(zc) + assert conjugate(cosh(z)) == cosh(zc) + assert conjugate(tanh(z)) == tanh(zc) + assert conjugate(coth(z)) == coth(zc) + + +def test_abs1(): + a = Symbol("a", real=True) + b = Symbol("b", real=True) + assert abs(a) == Abs(a) + assert abs(-a) == abs(a) + assert abs(a + I*b) == sqrt(a**2 + b**2) + + +def test_abs2(): + a = Symbol("a", real=False) + b = Symbol("b", real=False) + assert abs(a) != a + assert abs(-a) != a + assert abs(a + I*b) != sqrt(a**2 + b**2) + + +def test_evalc(): + x = Symbol("x", real=True) + y = Symbol("y", real=True) + z = Symbol("z") + assert ((x + I*y)**2).expand(complex=True) == x**2 + 2*I*x*y - y**2 + assert expand_complex(z**(2*I)) == (re((re(z) + I*im(z))**(2*I)) + + I*im((re(z) + I*im(z))**(2*I))) + assert expand_complex( + z**(2*I), deep=False) == I*im(z**(2*I)) + re(z**(2*I)) + + assert exp(I*x) != cos(x) + I*sin(x) + assert exp(I*x).expand(complex=True) == cos(x) + I*sin(x) + assert exp(I*x + y).expand(complex=True) == exp(y)*cos(x) + I*sin(x)*exp(y) + + assert sin(I*x).expand(complex=True) == I * sinh(x) + assert sin(x + I*y).expand(complex=True) == sin(x)*cosh(y) + \ + I * sinh(y) * cos(x) + + assert cos(I*x).expand(complex=True) == cosh(x) + assert cos(x + I*y).expand(complex=True) == cos(x)*cosh(y) - \ + I * sinh(y) * sin(x) + + assert tan(I*x).expand(complex=True) == tanh(x) * I + assert tan(x + I*y).expand(complex=True) == ( + sin(2*x)/(cos(2*x) + cosh(2*y)) + + I*sinh(2*y)/(cos(2*x) + cosh(2*y))) + + assert sinh(I*x).expand(complex=True) == I * sin(x) + assert sinh(x + I*y).expand(complex=True) == sinh(x)*cos(y) + \ + I * sin(y) * cosh(x) + + assert cosh(I*x).expand(complex=True) == cos(x) + assert cosh(x + I*y).expand(complex=True) == cosh(x)*cos(y) + \ + I * sin(y) * sinh(x) + + assert tanh(I*x).expand(complex=True) == tan(x) * I + assert tanh(x + I*y).expand(complex=True) == ( + (sinh(x)*cosh(x) + I*cos(y)*sin(y)) / + (sinh(x)**2 + cos(y)**2)).expand() + + +def test_pythoncomplex(): + x = Symbol("x") + assert 4j*x != 4*x*I + assert 4j*x == 4.0*x*I + assert 4.1j*x != 4*x*I + + +def test_rootcomplex(): + R = Rational + assert ((+1 + I)**R(1, 2)).expand( + complex=True) == 2**R(1, 4)*cos( pi/8) + 2**R(1, 4)*sin( pi/8)*I + assert ((-1 - I)**R(1, 2)).expand( + complex=True) == 2**R(1, 4)*cos(3*pi/8) - 2**R(1, 4)*sin(3*pi/8)*I + assert (sqrt(-10)*I).as_real_imag() == (-sqrt(10), 0) + + +def test_expand_inverse(): + assert (1/(1 + I)).expand(complex=True) == (1 - I)/2 + assert ((1 + 2*I)**(-2)).expand(complex=True) == (-3 - 4*I)/25 + assert ((1 + I)**(-8)).expand(complex=True) == Rational(1, 16) + + +def test_expand_complex(): + assert ((2 + 3*I)**10).expand(complex=True) == -341525 - 145668*I + # the following two tests are to ensure the SymPy uses an efficient + # algorithm for calculating powers of complex numbers. They should execute + # in something like 0.01s. + assert ((2 + 3*I)**1000).expand(complex=True) == \ + -81079464736246615951519029367296227340216902563389546989376269312984127074385455204551402940331021387412262494620336565547972162814110386834027871072723273110439771695255662375718498785908345629702081336606863762777939617745464755635193139022811989314881997210583159045854968310911252660312523907616129080027594310008539817935736331124833163907518549408018652090650537035647520296539436440394920287688149200763245475036722326561143851304795139005599209239350981457301460233967137708519975586996623552182807311159141501424576682074392689622074945519232029999 + \ + 46938745946789557590804551905243206242164799136976022474337918748798900569942573265747576032611189047943842446167719177749107138603040963603119861476016947257034472364028585381714774667326478071264878108114128915685688115488744955550920239128462489496563930809677159214598114273887061533057125164518549173898349061972857446844052995037423459472376202251620778517659247970283904820245958198842631651569984310559418135975795868314764489884749573052997832686979294085577689571149679540256349988338406458116270429842222666345146926395233040564229555893248370000*I + assert ((2 + 3*I/4)**1000).expand(complex=True) == \ + Integer(1)*37079892761199059751745775382463070250205990218394308874593455293485167797989691280095867197640410033222367257278387021789651672598831503296531725827158233077451476545928116965316544607115843772405184272449644892857783761260737279675075819921259597776770965829089907990486964515784097181964312256560561065607846661496055417619388874421218472707497847700629822858068783288579581649321248495739224020822198695759609598745114438265083593711851665996586461937988748911532242908776883696631067311443171682974330675406616373422505939887984366289623091300746049101284856530270685577940283077888955692921951247230006346681086274961362500646889925803654263491848309446197554307105991537357310209426736453173441104334496173618419659521888945605315751089087820455852582920963561495787655250624781448951403353654348109893478206364632640344111022531861683064175862889459084900614967785405977231549003280842218501570429860550379522498497412180001/114813069527425452423283320117768198402231770208869520047764273682576626139237031385665948631650626991844596463898746277344711896086305533142593135616665318539129989145312280000688779148240044871428926990063486244781615463646388363947317026040466353970904996558162398808944629605623311649536164221970332681344168908984458505602379484807914058900934776500429002716706625830522008132236281291761267883317206598995396418127021779858404042159853183251540889433902091920554957783589672039160081957216630582755380425583726015528348786419432054508915275783882625175435528800822842770817965453762184851149029376 + \ + I*421638390580169706973991429333213477486930178424989246669892530737775352519112934278994501272111385966211392610029433824534634841747911783746811994443436271013377059560245191441549885048056920190833693041257216263519792201852046825443439142932464031501882145407459174948712992271510309541474392303461939389368955986650538525895866713074543004916049550090364398070215427272240155060576252568700906004691224321432509053286859100920489253598392100207663785243368195857086816912514025693453058403158416856847185079684216151337200057494966741268925263085619240941610301610538225414050394612058339070756009433535451561664522479191267503989904464718368605684297071150902631208673621618217106272361061676184840810762902463998065947687814692402219182668782278472952758690939877465065070481351343206840649517150634973307937551168752642148704904383991876969408056379195860410677814566225456558230131911142229028179902418223009651437985670625/1793954211366022694113801876840128100034871409513586250746316776290259783425578615401030447369541046747571819748417910583511123376348523955353017744010395602173906080395504375010762174191250701116076984219741972574712741619474818186676828531882286780795390571221287481389759837587864244524002565968286448146002639202882164150037179450123657170327105882819203167448541028601906377066191895183769810676831353109303069033234715310287563158747705988305326397404720186258671215368588625611876280581509852855552819149745718992630449787803625851701801184123166018366180137512856918294030710215034138299203584 + assert ((2 + 3*I)**-1000).expand(complex=True) == \ + Integer(1)*-81079464736246615951519029367296227340216902563389546989376269312984127074385455204551402940331021387412262494620336565547972162814110386834027871072723273110439771695255662375718498785908345629702081336606863762777939617745464755635193139022811989314881997210583159045854968310911252660312523907616129080027594310008539817935736331124833163907518549408018652090650537035647520296539436440394920287688149200763245475036722326561143851304795139005599209239350981457301460233967137708519975586996623552182807311159141501424576682074392689622074945519232029999/8777125472973511649630750050295188683351430110097915876250894978429797369155961290321829625004920141758416719066805645579710744290541337680113772670040386863849283653078324415471816788604945889094925784900885812724984087843737442111926413818245854362613018058774368703971604921858023116665586358870612944209398056562604561248859926344335598822815885851096698226775053153403320782439987679978321289537645645163767251396759519805603090332694449553371530571613352311006350058217982509738362083094920649452123351717366337410243853659113315547584871655479914439219520157174729130746351059075207407866012574386726064196992865627149566238044625779078186624347183905913357718850537058578084932880569701242598663149911276357125355850792073635533676541250531086757377369962506979378337216411188347761901006460813413505861461267545723590468627854202034450569581626648934062198718362303420281555886394558137408159453103395918783625713213314350531051312551733021627153081075080140680608080529736975658786227362251632725009435866547613598753584705455955419696609282059191031962604169242974038517575645939316377801594539335940001 - Integer(1)*46938745946789557590804551905243206242164799136976022474337918748798900569942573265747576032611189047943842446167719177749107138603040963603119861476016947257034472364028585381714774667326478071264878108114128915685688115488744955550920239128462489496563930809677159214598114273887061533057125164518549173898349061972857446844052995037423459472376202251620778517659247970283904820245958198842631651569984310559418135975795868314764489884749573052997832686979294085577689571149679540256349988338406458116270429842222666345146926395233040564229555893248370000*I/8777125472973511649630750050295188683351430110097915876250894978429797369155961290321829625004920141758416719066805645579710744290541337680113772670040386863849283653078324415471816788604945889094925784900885812724984087843737442111926413818245854362613018058774368703971604921858023116665586358870612944209398056562604561248859926344335598822815885851096698226775053153403320782439987679978321289537645645163767251396759519805603090332694449553371530571613352311006350058217982509738362083094920649452123351717366337410243853659113315547584871655479914439219520157174729130746351059075207407866012574386726064196992865627149566238044625779078186624347183905913357718850537058578084932880569701242598663149911276357125355850792073635533676541250531086757377369962506979378337216411188347761901006460813413505861461267545723590468627854202034450569581626648934062198718362303420281555886394558137408159453103395918783625713213314350531051312551733021627153081075080140680608080529736975658786227362251632725009435866547613598753584705455955419696609282059191031962604169242974038517575645939316377801594539335940001 + assert ((2 + 3*I/4)**-1000).expand(complex=True) == \ + Integer(1)*4257256305661027385394552848555894604806501409793288342610746813288539790051927148781268212212078237301273165351052934681382567968787279534591114913777456610214738290619922068269909423637926549603264174216950025398244509039145410016404821694746262142525173737175066432954496592560621330313807235750500564940782099283410261748370262433487444897446779072067625787246390824312580440138770014838135245148574339248259670887549732495841810961088930810608893772914812838358159009303794863047635845688453859317690488124382253918725010358589723156019888846606295866740117645571396817375322724096486161308083462637370825829567578309445855481578518239186117686659177284332344643124760453112513611749309168470605289172320376911472635805822082051716625171429727162039621902266619821870482519063133136820085579315127038372190224739238686708451840610064871885616258831386810233957438253532027049148030157164346719204500373766157143311767338973363806106967439378604898250533766359989107510507493549529158818602327525235240510049484816090584478644771183158342479140194633579061295740839490629457435283873180259847394582069479062820225159699506175855369539201399183443253793905149785994830358114153241481884290274629611529758663543080724574566578220908907477622643689220814376054314972190402285121776593824615083669045183404206291739005554569305329760211752815718335731118664756831942466773261465213581616104242113894521054475516019456867271362053692785300826523328020796670205463390909136593859765912483565093461468865534470710132881677639651348709376/2103100954337624833663208713697737151593634525061637972297915388685604042449504336765884978184588688426595940401280828953096857809292320006227881797146858511436638446932833617514351442216409828605662238790280753075176269765767010004889778647709740770757817960711900340755635772183674511158570690702969774966791073165467918123298694584729211212414462628433370481195120564586361368504153395406845170075275051749019600057116719726628746724489572189061061036426955163696859127711110719502594479795200686212257570291758725259007379710596548777812659422174199194837355646482046783616494013289495563083118517507178847555801163089723056310287760875135196081975602765511153122381201303871673391366630940702817360340900568748719988954847590748960761446218262344767250783946365392689256634180417145926390656439421745644011831124277463643383712803287985472471755648426749842410972650924240795946699346613614779460399530274263580007672855851663196114585312432954432654691485867618908420370875753749297487803461900447407917655296784879220450937110470920633595689721819488638484547259978337741496090602390463594556401615298457456112485536498177883358587125449801777718900375736758266215245325999241624148841915093787519330809347240990363802360596034171167818310322276373120180985148650099673289383722502488957717848531612020897298448601714154586319660314294591620415272119454982220034319689607295960162971300417552364254983071768070124456169427638371140064235083443242844616326538396503937972586505546495649094344512270582463639152160238137952390380581401171977159154009407415523525096743009110916334144716516647041176989758534635251844947906038080852185583742296318878233394998111078843229681030277039104786225656992262073797524057992347971177720807155842376332851559276430280477639539393920006008737472164850104411971830120295750221200029811143140323763349636629725073624360001 - Integer(1)*3098214262599218784594285246258841485430681674561917573155883806818465520660668045042109232930382494608383663464454841313154390741655282039877410154577448327874989496074260116195788919037407420625081798124301494353693248757853222257918294662198297114746822817460991242508743651430439120439020484502408313310689912381846149597061657483084652685283853595100434135149479564507015504022249330340259111426799121454516345905101620532787348293877485702600390665276070250119465888154331218827342488849948540687659846652377277250614246402784754153678374932540789808703029043827352976139228402417432199779415751301480406673762521987999573209628597459357964214510139892316208670927074795773830798600837815329291912002136924506221066071242281626618211060464126372574400100990746934953437169840312584285942093951405864225230033279614235191326102697164613004299868695519642598882914862568516635347204441042798206770888274175592401790040170576311989738272102077819127459014286741435419468254146418098278519775722104890854275995510700298782146199325790002255362719776098816136732897323406228294203133323296591166026338391813696715894870956511298793595675308998014158717167429941371979636895553724830981754579086664608880698350866487717403917070872269853194118364230971216854931998642990452908852258008095741042117326241406479532880476938937997238098399302185675832474590293188864060116934035867037219176916416481757918864533515526389079998129329045569609325290897577497835388451456680707076072624629697883854217331728051953671643278797380171857920000*I/2103100954337624833663208713697737151593634525061637972297915388685604042449504336765884978184588688426595940401280828953096857809292320006227881797146858511436638446932833617514351442216409828605662238790280753075176269765767010004889778647709740770757817960711900340755635772183674511158570690702969774966791073165467918123298694584729211212414462628433370481195120564586361368504153395406845170075275051749019600057116719726628746724489572189061061036426955163696859127711110719502594479795200686212257570291758725259007379710596548777812659422174199194837355646482046783616494013289495563083118517507178847555801163089723056310287760875135196081975602765511153122381201303871673391366630940702817360340900568748719988954847590748960761446218262344767250783946365392689256634180417145926390656439421745644011831124277463643383712803287985472471755648426749842410972650924240795946699346613614779460399530274263580007672855851663196114585312432954432654691485867618908420370875753749297487803461900447407917655296784879220450937110470920633595689721819488638484547259978337741496090602390463594556401615298457456112485536498177883358587125449801777718900375736758266215245325999241624148841915093787519330809347240990363802360596034171167818310322276373120180985148650099673289383722502488957717848531612020897298448601714154586319660314294591620415272119454982220034319689607295960162971300417552364254983071768070124456169427638371140064235083443242844616326538396503937972586505546495649094344512270582463639152160238137952390380581401171977159154009407415523525096743009110916334144716516647041176989758534635251844947906038080852185583742296318878233394998111078843229681030277039104786225656992262073797524057992347971177720807155842376332851559276430280477639539393920006008737472164850104411971830120295750221200029811143140323763349636629725073624360001 + + a = Symbol('a', real=True) + b = Symbol('b', real=True) + assert exp(a*(2 + I*b)).expand(complex=True) == \ + I*exp(2*a)*sin(a*b) + exp(2*a)*cos(a*b) + + +def test_expand(): + f = (16 - 2*sqrt(29))**2 + assert f.expand() == 372 - 64*sqrt(29) + f = (Integer(1)/2 + I/2)**10 + assert f.expand() == I/32 + f = (Integer(1)/2 + I)**10 + assert f.expand() == Integer(237)/1024 - 779*I/256 + + +def test_re_im1652(): + x = Symbol('x') + assert re(x) == re(conjugate(x)) + assert im(x) == - im(conjugate(x)) + assert im(x)*re(conjugate(x)) + im(conjugate(x)) * re(x) == 0 + + +def test_issue_5084(): + x = Symbol('x') + assert ((x + x*I)/(1 + I)).as_real_imag() == (re((x + I*x)/(1 + I) + ), im((x + I*x)/(1 + I))) + + +def test_issue_5236(): + assert (cos(1 + I)**3).as_real_imag() == (-3*sin(1)**2*sinh(1)**2*cos(1)*cosh(1) + + cos(1)**3*cosh(1)**3, -3*cos(1)**2*cosh(1)**2*sin(1)*sinh(1) + sin(1)**3*sinh(1)**3) + + +def test_real_imag(): + x, y, z = symbols('x, y, z') + X, Y, Z = symbols('X, Y, Z', commutative=False) + a = Symbol('a', real=True) + assert (2*a*x).as_real_imag() == (2*a*re(x), 2*a*im(x)) + + # issue 5395: + assert (x*x.conjugate()).as_real_imag() == (Abs(x)**2, 0) + assert im(x*x.conjugate()) == 0 + assert im(x*y.conjugate()*z*y) == im(x*z)*Abs(y)**2 + assert im(x*y.conjugate()*x*y) == im(x**2)*Abs(y)**2 + assert im(Z*y.conjugate()*X*y) == im(Z*X)*Abs(y)**2 + assert im(X*X.conjugate()) == im(X*X.conjugate(), evaluate=False) + assert (sin(x)*sin(x).conjugate()).as_real_imag() == \ + (Abs(sin(x))**2, 0) + + # issue 6573: + assert (x**2).as_real_imag() == (re(x)**2 - im(x)**2, 2*re(x)*im(x)) + + # issue 6428: + r = Symbol('r', real=True) + i = Symbol('i', imaginary=True) + assert (i*r*x).as_real_imag() == (I*i*r*im(x), -I*i*r*re(x)) + assert (i*r*x*(y + 2)).as_real_imag() == ( + I*i*r*(re(y) + 2)*im(x) + I*i*r*re(x)*im(y), + -I*i*r*(re(y) + 2)*re(x) + I*i*r*im(x)*im(y)) + + # issue 7106: + assert ((1 + I)/(1 - I)).as_real_imag() == (0, 1) + assert ((1 + 2*I)*(1 + 3*I)).as_real_imag() == (-5, 5) + + +def test_pow_issue_1724(): + e = ((S.NegativeOne)**(S.One/3)) + assert e.conjugate().n() == e.n().conjugate() + e = S('-2/3 - (-29/54 + sqrt(93)/18)**(1/3) - 1/(9*(-29/54 + sqrt(93)/18)**(1/3))') + assert e.conjugate().n() == e.n().conjugate() + e = 2**I + assert e.conjugate().n() == e.n().conjugate() + + +def test_issue_5429(): + assert sqrt(I).conjugate() != sqrt(I) + +def test_issue_4124(): + from sympy.core.numbers import oo + assert expand_complex(I*oo) == oo*I + +def test_issue_11518(): + x = Symbol("x", real=True) + y = Symbol("y", real=True) + r = sqrt(x**2 + y**2) + assert conjugate(r) == r + s = abs(x + I * y) + assert conjugate(s) == r diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_constructor_postprocessor.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_constructor_postprocessor.py new file mode 100644 index 0000000000000000000000000000000000000000..c199e24eddf8ef7c2a14e38d1ad2dc95e4acc0cc --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_constructor_postprocessor.py @@ -0,0 +1,87 @@ +from sympy.core.basic import Basic +from sympy.core.mul import Mul +from sympy.core.symbol import (Symbol, symbols) + +from sympy.testing.pytest import XFAIL + +class SymbolInMulOnce(Symbol): + # Test class for a symbol that can only appear once in a `Mul` expression. + pass + + +Basic._constructor_postprocessor_mapping[SymbolInMulOnce] = { + "Mul": [lambda x: x], + "Pow": [lambda x: x.base if isinstance(x.base, SymbolInMulOnce) else x], + "Add": [lambda x: x], +} + + +def _postprocess_SymbolRemovesOtherSymbols(expr): + args = tuple(i for i in expr.args if not isinstance(i, Symbol) or isinstance(i, SymbolRemovesOtherSymbols)) + if args == expr.args: + return expr + return Mul.fromiter(args) + + +class SymbolRemovesOtherSymbols(Symbol): + # Test class for a symbol that removes other symbols in `Mul`. + pass + +Basic._constructor_postprocessor_mapping[SymbolRemovesOtherSymbols] = { + "Mul": [_postprocess_SymbolRemovesOtherSymbols], +} + +class SubclassSymbolInMulOnce(SymbolInMulOnce): + pass + +class SubclassSymbolRemovesOtherSymbols(SymbolRemovesOtherSymbols): + pass + + +def test_constructor_postprocessors1(): + x = SymbolInMulOnce("x") + y = SymbolInMulOnce("y") + assert isinstance(3*x, Mul) + assert (3*x).args == (3, x) + assert x*x == x + assert 3*x*x == 3*x + assert 2*x*x + x == 3*x + assert x**3*y*y == x*y + assert x**5 + y*x**3 == x + x*y + + w = SymbolRemovesOtherSymbols("w") + assert x*w == w + assert (3*w).args == (3, w) + assert set((w + x).args) == {x, w} + +def test_constructor_postprocessors2(): + x = SubclassSymbolInMulOnce("x") + y = SubclassSymbolInMulOnce("y") + assert isinstance(3*x, Mul) + assert (3*x).args == (3, x) + assert x*x == x + assert 3*x*x == 3*x + assert 2*x*x + x == 3*x + assert x**3*y*y == x*y + assert x**5 + y*x**3 == x + x*y + + w = SubclassSymbolRemovesOtherSymbols("w") + assert x*w == w + assert (3*w).args == (3, w) + assert set((w + x).args) == {x, w} + + +@XFAIL +def test_subexpression_postprocessors(): + # The postprocessors used to work with subexpressions, but the + # functionality was removed. See #15948. + a = symbols("a") + x = SymbolInMulOnce("x") + w = SymbolRemovesOtherSymbols("w") + assert 3*a*w**2 == 3*w**2 + assert 3*a*x**3*w**2 == 3*w**2 + + x = SubclassSymbolInMulOnce("x") + w = SubclassSymbolRemovesOtherSymbols("w") + assert 3*a*w**2 == 3*w**2 + assert 3*a*x**3*w**2 == 3*w**2 diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_containers.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_containers.py new file mode 100644 index 0000000000000000000000000000000000000000..23357b9f667fffc82d93b2b1adb42b495114c67e --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_containers.py @@ -0,0 +1,217 @@ +from collections import defaultdict + +from sympy.core.basic import Basic +from sympy.core.containers import (Dict, Tuple) +from sympy.core.numbers import Integer +from sympy.core.kind import NumberKind +from sympy.matrices.kind import MatrixKind +from sympy.core.singleton import S +from sympy.core.symbol import symbols +from sympy.core.sympify import sympify +from sympy.matrices.dense import Matrix +from sympy.sets.sets import FiniteSet +from sympy.core.containers import tuple_wrapper, TupleKind +from sympy.core.expr import unchanged +from sympy.core.function import Function, Lambda +from sympy.core.relational import Eq +from sympy.testing.pytest import raises +from sympy.utilities.iterables import is_sequence, iterable + +from sympy.abc import x, y + + +def test_Tuple(): + t = (1, 2, 3, 4) + st = Tuple(*t) + assert set(sympify(t)) == set(st) + assert len(t) == len(st) + assert set(sympify(t[:2])) == set(st[:2]) + assert isinstance(st[:], Tuple) + assert st == Tuple(1, 2, 3, 4) + assert st.func(*st.args) == st + p, q, r, s = symbols('p q r s') + t2 = (p, q, r, s) + st2 = Tuple(*t2) + assert st2.atoms() == set(t2) + assert st == st2.subs({p: 1, q: 2, r: 3, s: 4}) + # issue 5505 + assert all(isinstance(arg, Basic) for arg in st.args) + assert Tuple(p, 1).subs(p, 0) == Tuple(0, 1) + assert Tuple(p, Tuple(p, 1)).subs(p, 0) == Tuple(0, Tuple(0, 1)) + + assert Tuple(t2) == Tuple(Tuple(*t2)) + assert Tuple.fromiter(t2) == Tuple(*t2) + assert Tuple.fromiter(x for x in range(4)) == Tuple(0, 1, 2, 3) + assert st2.fromiter(st2.args) == st2 + + +def test_Tuple_contains(): + t1, t2 = Tuple(1), Tuple(2) + assert t1 in Tuple(1, 2, 3, t1, Tuple(t2)) + assert t2 not in Tuple(1, 2, 3, t1, Tuple(t2)) + + +def test_Tuple_concatenation(): + assert Tuple(1, 2) + Tuple(3, 4) == Tuple(1, 2, 3, 4) + assert (1, 2) + Tuple(3, 4) == Tuple(1, 2, 3, 4) + assert Tuple(1, 2) + (3, 4) == Tuple(1, 2, 3, 4) + raises(TypeError, lambda: Tuple(1, 2) + 3) + raises(TypeError, lambda: 1 + Tuple(2, 3)) + + #the Tuple case in __radd__ is only reached when a subclass is involved + class Tuple2(Tuple): + def __radd__(self, other): + return Tuple.__radd__(self, other + other) + assert Tuple(1, 2) + Tuple2(3, 4) == Tuple(1, 2, 1, 2, 3, 4) + assert Tuple2(1, 2) + Tuple(3, 4) == Tuple(1, 2, 3, 4) + + +def test_Tuple_equality(): + assert not isinstance(Tuple(1, 2), tuple) + assert (Tuple(1, 2) == (1, 2)) is True + assert (Tuple(1, 2) != (1, 2)) is False + assert (Tuple(1, 2) == (1, 3)) is False + assert (Tuple(1, 2) != (1, 3)) is True + assert (Tuple(1, 2) == Tuple(1, 2)) is True + assert (Tuple(1, 2) != Tuple(1, 2)) is False + assert (Tuple(1, 2) == Tuple(1, 3)) is False + assert (Tuple(1, 2) != Tuple(1, 3)) is True + + +def test_Tuple_Eq(): + assert Eq(Tuple(), Tuple()) is S.true + assert Eq(Tuple(1), 1) is S.false + assert Eq(Tuple(1, 2), Tuple(1)) is S.false + assert Eq(Tuple(1), Tuple(1)) is S.true + assert Eq(Tuple(1, 2), Tuple(1, 3)) is S.false + assert Eq(Tuple(1, 2), Tuple(1, 2)) is S.true + assert unchanged(Eq, Tuple(1, x), Tuple(1, 2)) + assert Eq(Tuple(1, x), Tuple(1, 2)).subs(x, 2) is S.true + assert unchanged(Eq, Tuple(1, 2), x) + f = Function('f') + assert unchanged(Eq, Tuple(1), f(x)) + assert Eq(Tuple(1), f(x)).subs(x, 1).subs(f, Lambda(y, (y,))) is S.true + + +def test_Tuple_comparision(): + assert (Tuple(1, 3) >= Tuple(-10, 30)) is S.true + assert (Tuple(1, 3) <= Tuple(-10, 30)) is S.false + assert (Tuple(1, 3) >= Tuple(1, 3)) is S.true + assert (Tuple(1, 3) <= Tuple(1, 3)) is S.true + + +def test_Tuple_tuple_count(): + assert Tuple(0, 1, 2, 3).tuple_count(4) == 0 + assert Tuple(0, 4, 1, 2, 3).tuple_count(4) == 1 + assert Tuple(0, 4, 1, 4, 2, 3).tuple_count(4) == 2 + assert Tuple(0, 4, 1, 4, 2, 4, 3).tuple_count(4) == 3 + + +def test_Tuple_index(): + assert Tuple(4, 0, 1, 2, 3).index(4) == 0 + assert Tuple(0, 4, 1, 2, 3).index(4) == 1 + assert Tuple(0, 1, 4, 2, 3).index(4) == 2 + assert Tuple(0, 1, 2, 4, 3).index(4) == 3 + assert Tuple(0, 1, 2, 3, 4).index(4) == 4 + + raises(ValueError, lambda: Tuple(0, 1, 2, 3).index(4)) + raises(ValueError, lambda: Tuple(4, 0, 1, 2, 3).index(4, 1)) + raises(ValueError, lambda: Tuple(0, 1, 2, 3, 4).index(4, 1, 4)) + + +def test_Tuple_mul(): + assert Tuple(1, 2, 3)*2 == Tuple(1, 2, 3, 1, 2, 3) + assert 2*Tuple(1, 2, 3) == Tuple(1, 2, 3, 1, 2, 3) + assert Tuple(1, 2, 3)*Integer(2) == Tuple(1, 2, 3, 1, 2, 3) + assert Integer(2)*Tuple(1, 2, 3) == Tuple(1, 2, 3, 1, 2, 3) + + raises(TypeError, lambda: Tuple(1, 2, 3)*S.Half) + raises(TypeError, lambda: S.Half*Tuple(1, 2, 3)) + + +def test_tuple_wrapper(): + + @tuple_wrapper + def wrap_tuples_and_return(*t): + return t + + p = symbols('p') + assert wrap_tuples_and_return(p, 1) == (p, 1) + assert wrap_tuples_and_return((p, 1)) == (Tuple(p, 1),) + assert wrap_tuples_and_return(1, (p, 2), 3) == (1, Tuple(p, 2), 3) + + +def test_iterable_is_sequence(): + ordered = [[], (), Tuple(), Matrix([[]])] + unordered = [set()] + not_sympy_iterable = [{}, '', ''] + assert all(is_sequence(i) for i in ordered) + assert all(not is_sequence(i) for i in unordered) + assert all(iterable(i) for i in ordered + unordered) + assert all(not iterable(i) for i in not_sympy_iterable) + assert all(iterable(i, exclude=None) for i in not_sympy_iterable) + + +def test_TupleKind(): + kind = TupleKind(NumberKind, MatrixKind(NumberKind)) + assert Tuple(1, Matrix([1, 2])).kind is kind + assert Tuple(1, 2).kind is TupleKind(NumberKind, NumberKind) + assert Tuple(1, 2).kind.element_kind == (NumberKind, NumberKind) + + +def test_Dict(): + x, y, z = symbols('x y z') + d = Dict({x: 1, y: 2, z: 3}) + assert d[x] == 1 + assert d[y] == 2 + raises(KeyError, lambda: d[2]) + raises(KeyError, lambda: d['2']) + assert len(d) == 3 + assert set(d.keys()) == {x, y, z} + assert set(d.values()) == {S.One, S(2), S(3)} + assert d.get(5, 'default') == 'default' + assert d.get('5', 'default') == 'default' + assert x in d and z in d and 5 not in d and '5' not in d + assert d.has(x) and d.has(1) # SymPy Basic .has method + + # Test input types + # input - a Python dict + # input - items as args - SymPy style + assert (Dict({x: 1, y: 2, z: 3}) == + Dict((x, 1), (y, 2), (z, 3))) + + raises(TypeError, lambda: Dict(((x, 1), (y, 2), (z, 3)))) + with raises(NotImplementedError): + d[5] = 6 # assert immutability + + assert set( + d.items()) == {Tuple(x, S.One), Tuple(y, S(2)), Tuple(z, S(3))} + assert set(d) == {x, y, z} + assert str(d) == '{x: 1, y: 2, z: 3}' + assert d.__repr__() == '{x: 1, y: 2, z: 3}' + + # Test creating a Dict from a Dict. + d = Dict({x: 1, y: 2, z: 3}) + assert d == Dict(d) + + # Test for supporting defaultdict + d = defaultdict(int) + assert d[x] == 0 + assert d[y] == 0 + assert d[z] == 0 + assert Dict(d) + d = Dict(d) + assert len(d) == 3 + assert set(d.keys()) == {x, y, z} + assert set(d.values()) == {S.Zero, S.Zero, S.Zero} + + +def test_issue_5788(): + args = [(1, 2), (2, 1)] + for o in [Dict, Tuple, FiniteSet]: + # __eq__ and arg handling + if o != Tuple: + assert o(*args) == o(*reversed(args)) + pair = [o(*args), o(*reversed(args))] + assert sorted(pair) == sorted(pair) + assert set(o(*args)) # doesn't fail diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_count_ops.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_count_ops.py new file mode 100644 index 0000000000000000000000000000000000000000..bc95004ef5ba4421927289a049a9197d208c30d0 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_count_ops.py @@ -0,0 +1,155 @@ +from sympy.concrete.summations import Sum +from sympy.core.basic import Basic +from sympy.core.function import (Derivative, Function, count_ops) +from sympy.core.numbers import (I, Rational, pi) +from sympy.core.relational import (Eq, Rel) +from sympy.core.singleton import S +from sympy.core.symbol import (Symbol, symbols) +from sympy.functions.elementary.exponential import exp +from sympy.functions.elementary.trigonometric import (cos, sin) +from sympy.integrals.integrals import Integral +from sympy.logic.boolalg import (And, Equivalent, ITE, Implies, Nand, + Nor, Not, Or, Xor) +from sympy.matrices.expressions.matexpr import MatrixSymbol +from sympy.core.containers import Tuple + +x, y, z = symbols('x,y,z') +a, b, c = symbols('a,b,c') + +def test_count_ops_non_visual(): + def count(val): + return count_ops(val, visual=False) + assert count(x) == 0 + assert count(x) is not S.Zero + assert count(x + y) == 1 + assert count(x + y) is not S.One + assert count(x + y*x + 2*y) == 4 + assert count({x + y: x}) == 1 + assert count({x + y: S(2) + x}) is not S.One + assert count(x < y) == 1 + assert count(Or(x,y)) == 1 + assert count(And(x,y)) == 1 + assert count(Not(x)) == 1 + assert count(Nor(x,y)) == 2 + assert count(Nand(x,y)) == 2 + assert count(Xor(x,y)) == 1 + assert count(Implies(x,y)) == 1 + assert count(Equivalent(x,y)) == 1 + assert count(ITE(x,y,z)) == 1 + assert count(ITE(True,x,y)) == 0 + + +def test_count_ops_visual(): + ADD, MUL, POW, SIN, COS, EXP, AND, D, G, M = symbols( + 'Add Mul Pow sin cos exp And Derivative Integral Sum'.upper()) + DIV, SUB, NEG = symbols('DIV SUB NEG') + LT, LE, GT, GE, EQ, NE = symbols('LT LE GT GE EQ NE') + NOT, OR, AND, XOR, IMPLIES, EQUIVALENT, _ITE, BASIC, TUPLE = symbols( + 'Not Or And Xor Implies Equivalent ITE Basic Tuple'.upper()) + + def count(val): + return count_ops(val, visual=True) + + assert count(7) is S.Zero + assert count(S(7)) is S.Zero + assert count(-1) == NEG + assert count(-2) == NEG + assert count(S(2)/3) == DIV + assert count(Rational(2, 3)) == DIV + assert count(pi/3) == DIV + assert count(-pi/3) == DIV + NEG + assert count(I - 1) == SUB + assert count(1 - I) == SUB + assert count(1 - 2*I) == SUB + MUL + + assert count(x) is S.Zero + assert count(-x) == NEG + assert count(-2*x/3) == NEG + DIV + MUL + assert count(Rational(-2, 3)*x) == NEG + DIV + MUL + assert count(1/x) == DIV + assert count(1/(x*y)) == DIV + MUL + assert count(-1/x) == NEG + DIV + assert count(-2/x) == NEG + DIV + assert count(x/y) == DIV + assert count(-x/y) == NEG + DIV + + assert count(x**2) == POW + assert count(-x**2) == POW + NEG + assert count(-2*x**2) == POW + MUL + NEG + + assert count(x + pi/3) == ADD + DIV + assert count(x + S.One/3) == ADD + DIV + assert count(x + Rational(1, 3)) == ADD + DIV + assert count(x + y) == ADD + assert count(x - y) == SUB + assert count(y - x) == SUB + assert count(-1/(x - y)) == DIV + NEG + SUB + assert count(-1/(y - x)) == DIV + NEG + SUB + assert count(1 + x**y) == ADD + POW + assert count(1 + x + y) == 2*ADD + assert count(1 + x + y + z) == 3*ADD + assert count(1 + x**y + 2*x*y + y**2) == 3*ADD + 2*POW + 2*MUL + assert count(2*z + y + x + 1) == 3*ADD + MUL + assert count(2*z + y**17 + x + 1) == 3*ADD + MUL + POW + assert count(2*z + y**17 + x + sin(x)) == 3*ADD + POW + MUL + SIN + assert count(2*z + y**17 + x + sin(x**2)) == 3*ADD + MUL + 2*POW + SIN + assert count(2*z + y**17 + x + sin( + x**2) + exp(cos(x))) == 4*ADD + MUL + 2*POW + EXP + COS + SIN + + assert count(Derivative(x, x)) == D + assert count(Integral(x, x) + 2*x/(1 + x)) == G + DIV + MUL + 2*ADD + assert count(Sum(x, (x, 1, x + 1)) + 2*x/(1 + x)) == M + DIV + MUL + 3*ADD + assert count(Basic()) is S.Zero + + assert count({x + 1: sin(x)}) == ADD + SIN + assert count([x + 1, sin(x) + y, None]) == ADD + SIN + ADD + assert count({x + 1: sin(x), y: cos(x) + 1}) == SIN + COS + 2*ADD + assert count({}) is S.Zero + assert count([x + 1, sin(x)*y, None]) == SIN + ADD + MUL + assert count([]) is S.Zero + + assert count(Basic()) == 0 + assert count(Basic(Basic(),Basic(x,x+y))) == ADD + 2*BASIC + assert count(Basic(x, x + y)) == ADD + BASIC + assert [count(Rel(x, y, op)) for op in '< <= > >= == <> !='.split() + ] == [LT, LE, GT, GE, EQ, NE, NE] + assert count(Or(x, y)) == OR + assert count(And(x, y)) == AND + assert count(Or(x, Or(y, And(z, a)))) == AND + OR + assert count(Nor(x, y)) == NOT + OR + assert count(Nand(x, y)) == NOT + AND + assert count(Xor(x, y)) == XOR + assert count(Implies(x, y)) == IMPLIES + assert count(Equivalent(x, y)) == EQUIVALENT + assert count(ITE(x, y, z)) == _ITE + assert count([Or(x, y), And(x, y), Basic(x + y)] + ) == ADD + AND + BASIC + OR + + assert count(Basic(Tuple(x))) == BASIC + TUPLE + #It checks that TUPLE is counted as an operation. + + assert count(Eq(x + y, S(2))) == ADD + EQ + + +def test_issue_9324(): + def count(val): + return count_ops(val, visual=False) + + M = MatrixSymbol('M', 10, 10) + assert count(M[0, 0]) == 0 + assert count(2 * M[0, 0] + M[5, 7]) == 2 + P = MatrixSymbol('P', 3, 3) + Q = MatrixSymbol('Q', 3, 3) + assert count(P + Q) == 1 + m = Symbol('m', integer=True) + n = Symbol('n', integer=True) + M = MatrixSymbol('M', m + n, m * m) + assert count(M[0, 1]) == 2 + + +def test_issue_21532(): + f = Function('f') + g = Function('g') + FUNC_F, FUNC_G = symbols('FUNC_F, FUNC_G') + assert f(x).count_ops(visual=True) == FUNC_F + assert g(x).count_ops(visual=True) == FUNC_G diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_diff.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_diff.py new file mode 100644 index 0000000000000000000000000000000000000000..effc9cd91d2e7b6f8f8e5fd04bb667ed71c0ffaf --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_diff.py @@ -0,0 +1,160 @@ +from sympy.concrete.summations import Sum +from sympy.core.expr import Expr +from sympy.core.function import (Derivative, Function, diff, Subs) +from sympy.core.numbers import (I, Rational, pi) +from sympy.core.relational import Eq +from sympy.core.singleton import S +from sympy.core.symbol import Symbol +from sympy.functions.combinatorial.factorials import factorial +from sympy.functions.elementary.complexes import (im, re) +from sympy.functions.elementary.exponential import (exp, log) +from sympy.functions.elementary.miscellaneous import Max +from sympy.functions.elementary.piecewise import Piecewise +from sympy.functions.elementary.trigonometric import (cos, cot, sin, tan) +from sympy.tensor.array.ndim_array import NDimArray +from sympy.testing.pytest import raises +from sympy.abc import a, b, c, x, y, z + +def test_diff(): + assert Rational(1, 3).diff(x) is S.Zero + assert I.diff(x) is S.Zero + assert pi.diff(x) is S.Zero + assert x.diff(x, 0) == x + assert (x**2).diff(x, 2, x) == 0 + assert (x**2).diff((x, 2), x) == 0 + assert (x**2).diff((x, 1), x) == 2 + assert (x**2).diff((x, 1), (x, 1)) == 2 + assert (x**2).diff((x, 2)) == 2 + assert (x**2).diff(x, y, 0) == 2*x + assert (x**2).diff(x, (y, 0)) == 2*x + assert (x**2).diff(x, y) == 0 + raises(ValueError, lambda: x.diff(1, x)) + + p = Rational(5) + e = a*b + b**p + assert e.diff(a) == b + assert e.diff(b) == a + 5*b**4 + assert e.diff(b).diff(a) == Rational(1) + e = a*(b + c) + assert e.diff(a) == b + c + assert e.diff(b) == a + assert e.diff(b).diff(a) == Rational(1) + e = c**p + assert e.diff(c, 6) == Rational(0) + assert e.diff(c, 5) == Rational(120) + e = c**Rational(2) + assert e.diff(c) == 2*c + e = a*b*c + assert e.diff(c) == a*b + + +def test_diff2(): + n3 = Rational(3) + n2 = Rational(2) + n6 = Rational(6) + + e = n3*(-n2 + x**n2)*cos(x) + x*(-n6 + x**n2)*sin(x) + assert e == 3*(-2 + x**2)*cos(x) + x*(-6 + x**2)*sin(x) + assert e.diff(x).expand() == x**3*cos(x) + + e = (x + 1)**3 + assert e.diff(x) == 3*(x + 1)**2 + e = x*(x + 1)**3 + assert e.diff(x) == (x + 1)**3 + 3*x*(x + 1)**2 + e = 2*exp(x*x)*x + assert e.diff(x) == 2*exp(x**2) + 4*x**2*exp(x**2) + + +def test_diff3(): + p = Rational(5) + e = a*b + sin(b**p) + assert e == a*b + sin(b**5) + assert e.diff(a) == b + assert e.diff(b) == a + 5*b**4*cos(b**5) + e = tan(c) + assert e == tan(c) + assert e.diff(c) in [cos(c)**(-2), 1 + sin(c)**2/cos(c)**2, 1 + tan(c)**2] + e = c*log(c) - c + assert e == -c + c*log(c) + assert e.diff(c) == log(c) + e = log(sin(c)) + assert e == log(sin(c)) + assert e.diff(c) in [sin(c)**(-1)*cos(c), cot(c)] + e = (Rational(2)**a/log(Rational(2))) + assert e == 2**a*log(Rational(2))**(-1) + assert e.diff(a) == 2**a + + +def test_diff_no_eval_derivative(): + class My(Expr): + def __new__(cls, x): + return Expr.__new__(cls, x) + + # My doesn't have its own _eval_derivative method + assert My(x).diff(x).func is Derivative + assert My(x).diff(x, 3).func is Derivative + assert re(x).diff(x, 2) == Derivative(re(x), (x, 2)) # issue 15518 + assert diff(NDimArray([re(x), im(x)]), (x, 2)) == NDimArray( + [Derivative(re(x), (x, 2)), Derivative(im(x), (x, 2))]) + # it doesn't have y so it shouldn't need a method for this case + assert My(x).diff(y) == 0 + + +def test_speed(): + # this should return in 0.0s. If it takes forever, it's wrong. + assert x.diff(x, 10**8) == 0 + + +def test_deriv_noncommutative(): + A = Symbol("A", commutative=False) + f = Function("f") + assert A*f(x)*A == f(x)*A**2 + assert A*f(x).diff(x)*A == f(x).diff(x) * A**2 + + +def test_diff_nth_derivative(): + f = Function("f") + n = Symbol("n", integer=True) + + expr = diff(sin(x), (x, n)) + expr2 = diff(f(x), (x, 2)) + expr3 = diff(f(x), (x, n)) + + assert expr.subs(sin(x), cos(-x)) == Derivative(cos(-x), (x, n)) + assert expr.subs(n, 1).doit() == cos(x) + assert expr.subs(n, 2).doit() == -sin(x) + + assert expr2.subs(Derivative(f(x), x), y) == Derivative(y, x) + # Currently not supported (cannot determine if `n > 1`): + #assert expr3.subs(Derivative(f(x), x), y) == Derivative(y, (x, n-1)) + assert expr3 == Derivative(f(x), (x, n)) + + assert diff(x, (x, n)) == Piecewise((x, Eq(n, 0)), (1, Eq(n, 1)), (0, True)) + assert diff(2*x, (x, n)).dummy_eq( + Sum(Piecewise((2*x*factorial(n)/(factorial(y)*factorial(-y + n)), + Eq(y, 0) & Eq(Max(0, -y + n), 0)), + (2*factorial(n)/(factorial(y)*factorial(-y + n)), Eq(y, 0) & Eq(Max(0, + -y + n), 1)), (0, True)), (y, 0, n))) + # TODO: assert diff(x**2, (x, n)) == x**(2-n)*ff(2, n) + exprm = x*sin(x) + mul_diff = diff(exprm, (x, n)) + assert isinstance(mul_diff, Sum) + for i in range(5): + assert mul_diff.subs(n, i).doit() == exprm.diff((x, i)).expand() + + exprm2 = 2*y*x*sin(x)*cos(x)*log(x)*exp(x) + dex = exprm2.diff((x, n)) + assert isinstance(dex, Sum) + for i in range(7): + assert dex.subs(n, i).doit().expand() == \ + exprm2.diff((x, i)).expand() + + assert (cos(x)*sin(y)).diff([[x, y, z]]) == NDimArray([ + -sin(x)*sin(y), cos(x)*cos(y), 0]) + + +def test_issue_16160(): + assert Derivative(x**3, (x, x)).subs(x, 2) == Subs( + Derivative(x**3, (x, 2)), x, 2) + assert Derivative(1 + x**3, (x, x)).subs(x, 0 + ) == Derivative(1 + y**3, (y, 0)).subs(y, 0) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_equal.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_equal.py new file mode 100644 index 0000000000000000000000000000000000000000..82213b757cda5fbd80310e387bdf00cc1c9c25fe --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_equal.py @@ -0,0 +1,89 @@ +from sympy.core.numbers import Rational +from sympy.core.symbol import (Dummy, Symbol) +from sympy.functions.elementary.exponential import exp + + +def test_equal(): + b = Symbol("b") + a = Symbol("a") + e1 = a + b + e2 = 2*a*b + e3 = a**3*b**2 + e4 = a*b + b*a + assert not e1 == e2 + assert not e1 == e2 + assert e1 != e2 + assert e2 == e4 + assert e2 != e3 + assert not e2 == e3 + + x = Symbol("x") + e1 = exp(x + 1/x) + y = Symbol("x") + e2 = exp(y + 1/y) + assert e1 == e2 + assert not e1 != e2 + y = Symbol("y") + e2 = exp(y + 1/y) + assert not e1 == e2 + assert e1 != e2 + + e5 = Rational(3) + 2*x - x - x + assert e5 == 3 + assert 3 == e5 + assert e5 != 4 + assert 4 != e5 + assert e5 != 3 + x + assert 3 + x != e5 + + +def test_expevalbug(): + x = Symbol("x") + e1 = exp(1*x) + e3 = exp(x) + assert e1 == e3 + + +def test_cmp_bug1(): + class T: + pass + + t = T() + x = Symbol("x") + + assert not (x == t) + assert (x != t) + + +def test_cmp_bug2(): + class T: + pass + + t = T() + + assert not (Symbol == t) + assert (Symbol != t) + + +def test_cmp_issue_4357(): + """ Check that Basic subclasses can be compared with sympifiable objects. + + https://github.com/sympy/sympy/issues/4357 + """ + assert not (Symbol == 1) + assert (Symbol != 1) + assert not (Symbol == 'x') + assert (Symbol != 'x') + + +def test_dummy_eq(): + x = Symbol('x') + y = Symbol('y') + + u = Dummy('u') + + assert (u**2 + 1).dummy_eq(x**2 + 1) is True + assert ((u**2 + 1) == (x**2 + 1)) is False + + assert (u**2 + y).dummy_eq(x**2 + y, x) is True + assert (u**2 + y).dummy_eq(x**2 + y, y) is False diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_eval.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_eval.py new file mode 100644 index 0000000000000000000000000000000000000000..9c1633f77b50483afee21c6d9fca232b1279d2b9 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_eval.py @@ -0,0 +1,95 @@ +from sympy.core.function import Function +from sympy.core.numbers import (I, Rational) +from sympy.core.singleton import S +from sympy.core.symbol import Symbol +from sympy.functions.elementary.exponential import exp +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.trigonometric import (cos, tan) +from sympy.testing.pytest import XFAIL + + +def test_add_eval(): + a = Symbol("a") + b = Symbol("b") + c = Rational(1) + p = Rational(5) + assert a*b + c + p == a*b + 6 + assert c + a + p == a + 6 + assert c + a - p == a + (-4) + assert a + a == 2*a + assert a + p + a == 2*a + 5 + assert c + p == Rational(6) + assert b + a - b == a + + +def test_addmul_eval(): + a = Symbol("a") + b = Symbol("b") + c = Rational(1) + p = Rational(5) + assert c + a + b*c + a - p == 2*a + b + (-4) + assert a*2 + p + a == a*2 + 5 + a + assert a*2 + p + a == 3*a + 5 + assert a*2 + a == 3*a + + +def test_pow_eval(): + # XXX Pow does not fully support conversion of negative numbers + # to their complex equivalent + + assert sqrt(-1) == I + + assert sqrt(-4) == 2*I + assert sqrt( 4) == 2 + assert (8)**Rational(1, 3) == 2 + assert (-8)**Rational(1, 3) == 2*((-1)**Rational(1, 3)) + + assert sqrt(-2) == I*sqrt(2) + assert (-1)**Rational(1, 3) != I + assert (-10)**Rational(1, 3) != I*((10)**Rational(1, 3)) + assert (-2)**Rational(1, 4) != (2)**Rational(1, 4) + + assert 64**Rational(1, 3) == 4 + assert 64**Rational(2, 3) == 16 + assert 24/sqrt(64) == 3 + assert (-27)**Rational(1, 3) == 3*(-1)**Rational(1, 3) + + assert (cos(2) / tan(2))**2 == (cos(2) / tan(2))**2 + + +@XFAIL +def test_pow_eval_X1(): + assert (-1)**Rational(1, 3) == S.Half + S.Half*I*sqrt(3) + + +def test_mulpow_eval(): + x = Symbol('x') + assert sqrt(50)/(sqrt(2)*x) == 5/x + assert sqrt(27)/sqrt(3) == 3 + + +def test_evalpow_bug(): + x = Symbol("x") + assert 1/(1/x) == x + assert 1/(-1/x) == -x + + +def test_symbol_expand(): + x = Symbol('x') + y = Symbol('y') + + f = x**4*y**4 + assert f == x**4*y**4 + assert f == f.expand() + + g = (x*y)**4 + assert g == f + assert g.expand() == f + assert g.expand() == g.expand().expand() + + +def test_function(): + f, l = map(Function, 'fl') + x = Symbol('x') + assert exp(l(x))*l(x)/exp(l(x)) == l(x) + assert exp(f(x))*f(x)/exp(f(x)) == f(x) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_evalf.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_evalf.py new file mode 100644 index 0000000000000000000000000000000000000000..2c3c26a2d265da9ea2daa73a9eea3091b2af1999 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_evalf.py @@ -0,0 +1,738 @@ +import math + +from sympy.concrete.products import (Product, product) +from sympy.concrete.summations import Sum +from sympy.core.add import Add +from sympy.core.evalf import N +from sympy.core.function import (Function, nfloat) +from sympy.core.mul import Mul +from sympy.core import (GoldenRatio) +from sympy.core.numbers import (AlgebraicNumber, E, Float, I, Rational, + oo, zoo, nan, pi) +from sympy.core.power import Pow +from sympy.core.relational import Eq +from sympy.core.singleton import S +from sympy.core.symbol import Symbol +from sympy.core.sympify import sympify +from sympy.functions.combinatorial.factorials import factorial +from sympy.functions.combinatorial.numbers import fibonacci +from sympy.functions.elementary.complexes import (Abs, re, im) +from sympy.functions.elementary.exponential import (exp, log) +from sympy.functions.elementary.hyperbolic import (acosh, cosh) +from sympy.functions.elementary.integers import (ceiling, floor) +from sympy.functions.elementary.miscellaneous import (Max, sqrt) +from sympy.functions.elementary.trigonometric import (acos, atan, cos, sin, tan) +from sympy.integrals.integrals import (Integral, integrate) +from sympy.polys.polytools import factor +from sympy.polys.rootoftools import CRootOf +from sympy.polys.specialpolys import cyclotomic_poly +from sympy.printing import srepr +from sympy.printing.str import sstr +from sympy.simplify.simplify import simplify +from sympy.core.numbers import comp +from sympy.core.evalf import (complex_accuracy, PrecisionExhausted, + scaled_zero, get_integer_part, as_mpmath, evalf, _evalf_with_bounded_error) +from mpmath import inf, ninf, make_mpc +from mpmath.libmp.libmpf import from_float, fzero +from sympy.core.expr import unchanged +from sympy.testing.pytest import raises, XFAIL +from sympy.abc import n, x, y + + +def NS(e, n=15, **options): + return sstr(sympify(e).evalf(n, **options), full_prec=True) + + +def test_evalf_helpers(): + from mpmath.libmp import finf + assert complex_accuracy((from_float(2.0), None, 35, None)) == 35 + assert complex_accuracy((from_float(2.0), from_float(10.0), 35, 100)) == 37 + assert complex_accuracy( + (from_float(2.0), from_float(1000.0), 35, 100)) == 43 + assert complex_accuracy((from_float(2.0), from_float(10.0), 100, 35)) == 35 + assert complex_accuracy( + (from_float(2.0), from_float(1000.0), 100, 35)) == 35 + assert complex_accuracy(finf) == math.inf + assert complex_accuracy(zoo) == math.inf + raises(ValueError, lambda: get_integer_part(zoo, 1, {})) + + +def test_evalf_basic(): + assert NS('pi', 15) == '3.14159265358979' + assert NS('2/3', 10) == '0.6666666667' + assert NS('355/113-pi', 6) == '2.66764e-7' + assert NS('16*atan(1/5)-4*atan(1/239)', 15) == '3.14159265358979' + + +def test_cancellation(): + assert NS(Add(pi, Rational(1, 10**1000), -pi, evaluate=False), 15, + maxn=1200) == '1.00000000000000e-1000' + + +def test_evalf_powers(): + assert NS('pi**(10**20)', 10) == '1.339148777e+49714987269413385435' + assert NS(pi**(10**100), 10) == ('4.946362032e+4971498726941338543512682882' + '9089887365167832438044244613405349992494711208' + '95526746555473864642912223') + assert NS('2**(1/10**50)', 15) == '1.00000000000000' + assert NS('2**(1/10**50)-1', 15) == '6.93147180559945e-51' + +# Evaluation of Rump's ill-conditioned polynomial + + +def test_evalf_rump(): + a = 1335*y**6/4 + x**2*(11*x**2*y**2 - y**6 - 121*y**4 - 2) + 11*y**8/2 + x/(2*y) + assert NS(a, 15, subs={x: 77617, y: 33096}) == '-0.827396059946821' + + +def test_evalf_complex(): + assert NS('2*sqrt(pi)*I', 10) == '3.544907702*I' + assert NS('3+3*I', 15) == '3.00000000000000 + 3.00000000000000*I' + assert NS('E+pi*I', 15) == '2.71828182845905 + 3.14159265358979*I' + assert NS('pi * (3+4*I)', 15) == '9.42477796076938 + 12.5663706143592*I' + assert NS('I*(2+I)', 15) == '-1.00000000000000 + 2.00000000000000*I' + + +@XFAIL +def test_evalf_complex_bug(): + assert NS('(pi+E*I)*(E+pi*I)', 15) in ('0.e-15 + 17.25866050002*I', + '0.e-17 + 17.25866050002*I', '-0.e-17 + 17.25866050002*I') + + +def test_evalf_complex_powers(): + assert NS('(E+pi*I)**100000000000000000') == \ + '-3.58896782867793e+61850354284995199 + 4.58581754997159e+61850354284995199*I' + # XXX: rewrite if a+a*I simplification introduced in SymPy + #assert NS('(pi + pi*I)**2') in ('0.e-15 + 19.7392088021787*I', '0.e-16 + 19.7392088021787*I') + assert NS('(pi + pi*I)**2', chop=True) == '19.7392088021787*I' + assert NS( + '(pi + 1/10**8 + pi*I)**2') == '6.2831853e-8 + 19.7392088650106*I' + assert NS('(pi + 1/10**12 + pi*I)**2') == '6.283e-12 + 19.7392088021850*I' + assert NS('(pi + pi*I)**4', chop=True) == '-389.636364136010' + assert NS( + '(pi + 1/10**8 + pi*I)**4') == '-389.636366616512 + 2.4805021e-6*I' + assert NS('(pi + 1/10**12 + pi*I)**4') == '-389.636364136258 + 2.481e-10*I' + assert NS( + '(10000*pi + 10000*pi*I)**4', chop=True) == '-3.89636364136010e+18' + + +@XFAIL +def test_evalf_complex_powers_bug(): + assert NS('(pi + pi*I)**4') == '-389.63636413601 + 0.e-14*I' + + +def test_evalf_exponentiation(): + assert NS(sqrt(-pi)) == '1.77245385090552*I' + assert NS(Pow(pi*I, Rational( + 1, 2), evaluate=False)) == '1.25331413731550 + 1.25331413731550*I' + assert NS(pi**I) == '0.413292116101594 + 0.910598499212615*I' + assert NS(pi**(E + I/3)) == '20.8438653991931 + 8.36343473930031*I' + assert NS((pi + I/3)**(E + I/3)) == '17.2442906093590 + 13.6839376767037*I' + assert NS(exp(pi)) == '23.1406926327793' + assert NS(exp(pi + E*I)) == '-21.0981542849657 + 9.50576358282422*I' + assert NS(pi**pi) == '36.4621596072079' + assert NS((-pi)**pi) == '-32.9138577418939 - 15.6897116534332*I' + assert NS((-pi)**(-pi)) == '-0.0247567717232697 + 0.0118013091280262*I' + +# An example from Smith, "Multiple Precision Complex Arithmetic and Functions" + + +def test_evalf_complex_cancellation(): + A = Rational('63287/100000') + B = Rational('52498/100000') + C = Rational('69301/100000') + D = Rational('83542/100000') + F = Rational('2231321613/2500000000') + # XXX: the number of returned mantissa digits in the real part could + # change with the implementation. What matters is that the returned digits are + # correct; those that are showing now are correct. + # >>> ((A+B*I)*(C+D*I)).expand() + # 64471/10000000000 + 2231321613*I/2500000000 + # >>> 2231321613*4 + # 8925286452L + assert NS((A + B*I)*(C + D*I), 6) == '6.44710e-6 + 0.892529*I' + assert NS((A + B*I)*(C + D*I), 10) == '6.447100000e-6 + 0.8925286452*I' + assert NS((A + B*I)*( + C + D*I) - F*I, 5) in ('6.4471e-6 + 0.e-14*I', '6.4471e-6 - 0.e-14*I') + + +def test_evalf_logs(): + assert NS("log(3+pi*I)", 15) == '1.46877619736226 + 0.808448792630022*I' + assert NS("log(pi*I)", 15) == '1.14472988584940 + 1.57079632679490*I' + assert NS('log(-1 + 0.00001)', 2) == '-1.0e-5 + 3.1*I' + assert NS('log(100, 10, evaluate=False)', 15) == '2.00000000000000' + assert NS('-2*I*log(-(-1)**(S(1)/9))', 15) == '-5.58505360638185' + + +def test_evalf_trig(): + assert NS('sin(1)', 15) == '0.841470984807897' + assert NS('cos(1)', 15) == '0.540302305868140' + assert NS('tan(1)', 15) == '1.55740772465490' + assert NS('sin(10**-6)', 15) == '9.99999999999833e-7' + assert NS('cos(10**-6)', 15) == '0.999999999999500' + assert NS('tan(10**-6)', 15) == '1.00000000000033e-6' + assert NS('sin(E*10**100)', 15) == '0.409160531722613' + assert NS('tan(I)',15) =='0.761594155955765*I' + assert NS('tan(1000*I)',15)== '1.00000000000000*I' + # Some input near roots + assert NS(sin(exp(pi*sqrt(163))*pi), 15) == '-2.35596641936785e-12' + assert NS(sin(pi*10**100 + Rational(7, 10**5), evaluate=False), 15, maxn=120) == \ + '6.99999999428333e-5' + assert NS(sin(Rational(7, 10**5), evaluate=False), 15) == \ + '6.99999999428333e-5' + +# Check detection of various false identities + + +def test_evalf_near_integers(): + # Binet's formula + f = lambda n: ((1 + sqrt(5))**n)/(2**n * sqrt(5)) + assert NS(f(5000) - fibonacci(5000), 10, maxn=1500) == '5.156009964e-1046' + # Some near-integer identities from + # http://mathworld.wolfram.com/AlmostInteger.html + assert NS('sin(2017*2**(1/5))', 15) == '-1.00000000000000' + assert NS('sin(2017*2**(1/5))', 20) == '-0.99999999999999997857' + assert NS('1+sin(2017*2**(1/5))', 15) == '2.14322287389390e-17' + assert NS('45 - 613*E/37 + 35/991', 15) == '6.03764498766326e-11' + + +def test_evalf_ramanujan(): + assert NS(exp(pi*sqrt(163)) - 640320**3 - 744, 10) == '-7.499274028e-13' + # A related identity + A = 262537412640768744*exp(-pi*sqrt(163)) + B = 196884*exp(-2*pi*sqrt(163)) + C = 103378831900730205293632*exp(-3*pi*sqrt(163)) + assert NS(1 - A - B + C, 10) == '1.613679005e-59' + +# Input that for various reasons have failed at some point + + +def test_evalf_bugs(): + assert NS(sin(1) + exp(-10**10), 10) == NS(sin(1), 10) + assert NS(exp(10**10) + sin(1), 10) == NS(exp(10**10), 10) + assert NS('expand_log(log(1+1/10**50))', 20) == '1.0000000000000000000e-50' + assert NS('log(10**100,10)', 10) == '100.0000000' + assert NS('log(2)', 10) == '0.6931471806' + assert NS( + '(sin(x)-x)/x**3', 15, subs={x: '1/10**50'}) == '-0.166666666666667' + assert NS(sin(1) + Rational( + 1, 10**100)*I, 15) == '0.841470984807897 + 1.00000000000000e-100*I' + assert x.evalf() == x + assert NS((1 + I)**2*I, 6) == '-2.00000' + d = {n: ( + -1)**Rational(6, 7), y: (-1)**Rational(4, 7), x: (-1)**Rational(2, 7)} + assert NS((x*(1 + y*(1 + n))).subs(d).evalf(), 6) == '0.346011 + 0.433884*I' + assert NS(((-I - sqrt(2)*I)**2).evalf()) == '-5.82842712474619' + assert NS((1 + I)**2*I, 15) == '-2.00000000000000' + # issue 4758 (1/2): + assert NS(pi.evalf(69) - pi) == '-4.43863937855894e-71' + # issue 4758 (2/2): With the bug present, this still only fails if the + # terms are in the order given here. This is not generally the case, + # because the order depends on the hashes of the terms. + assert NS(20 - 5008329267844*n**25 - 477638700*n**37 - 19*n, + subs={n: .01}) == '19.8100000000000' + assert NS(((x - 1)*(1 - x)**1000).n() + ) == '(1.00000000000000 - x)**1000*(x - 1.00000000000000)' + assert NS((-x).n()) == '-x' + assert NS((-2*x).n()) == '-2.00000000000000*x' + assert NS((-2*x*y).n()) == '-2.00000000000000*x*y' + assert cos(x).n(subs={x: 1+I}) == cos(x).subs(x, 1+I).n() + # issue 6660. Also NaN != mpmath.nan + # In this order: + # 0*nan, 0/nan, 0*inf, 0/inf + # 0+nan, 0-nan, 0+inf, 0-inf + # >>> n = Some Number + # n*nan, n/nan, n*inf, n/inf + # n+nan, n-nan, n+inf, n-inf + assert (0*E**(oo)).n() is S.NaN + assert (0/E**(oo)).n() is S.Zero + + assert (0+E**(oo)).n() is S.Infinity + assert (0-E**(oo)).n() is S.NegativeInfinity + + assert (5*E**(oo)).n() is S.Infinity + assert (5/E**(oo)).n() is S.Zero + + assert (5+E**(oo)).n() is S.Infinity + assert (5-E**(oo)).n() is S.NegativeInfinity + + #issue 7416 + assert as_mpmath(0.0, 10, {'chop': True}) == 0 + + #issue 5412 + assert ((oo*I).n() == S.Infinity*I) + assert ((oo+oo*I).n() == S.Infinity + S.Infinity*I) + + #issue 11518 + assert NS(2*x**2.5, 5) == '2.0000*x**2.5000' + + #issue 13076 + assert NS(Mul(Max(0, y), x, evaluate=False).evalf()) == 'x*Max(0, y)' + + #issue 18516 + assert NS(log(S(3273390607896141870013189696827599152216642046043064789483291368096133796404674554883270092325904157150886684127560071009217256545885393053328527589376)/36360291795869936842385267079543319118023385026001623040346035832580600191583895484198508262979388783308179702534403855752855931517013066142992430916562025780021771247847643450125342836565813209972590371590152578728008385990139795377610001).evalf(15, chop=True)) == '-oo' + + +def test_evalf_integer_parts(): + a = floor(log(8)/log(2) - exp(-1000), evaluate=False) + b = floor(log(8)/log(2), evaluate=False) + assert a.evalf() == 3.0 + assert b.evalf() == 3.0 + # equals, as a fallback, can still fail but it might succeed as here + assert ceiling(10*(sin(1)**2 + cos(1)**2)) == 10 + + assert int(floor(factorial(50)/E, evaluate=False).evalf(70)) == \ + int(11188719610782480504630258070757734324011354208865721592720336800) + assert int(ceiling(factorial(50)/E, evaluate=False).evalf(70)) == \ + int(11188719610782480504630258070757734324011354208865721592720336801) + assert int(floor(GoldenRatio**999 / sqrt(5) + S.Half) + .evalf(1000)) == fibonacci(999) + assert int(floor(GoldenRatio**1000 / sqrt(5) + S.Half) + .evalf(1000)) == fibonacci(1000) + + assert ceiling(x).evalf(subs={x: 3}) == 3.0 + assert ceiling(x).evalf(subs={x: 3*I}) == 3.0*I + assert ceiling(x).evalf(subs={x: 2 + 3*I}) == 2.0 + 3.0*I + assert ceiling(x).evalf(subs={x: 3.}) == 3.0 + assert ceiling(x).evalf(subs={x: 3.*I}) == 3.0*I + assert ceiling(x).evalf(subs={x: 2. + 3*I}) == 2.0 + 3.0*I + + assert float((floor(1.5, evaluate=False)+1/9).evalf()) == 1 + 1/9 + assert float((floor(0.5, evaluate=False)+20).evalf()) == 20 + + # issue 19991 + n = 1169809367327212570704813632106852886389036911 + r = 744723773141314414542111064094745678855643068 + + assert floor(n / (pi / 2)) == r + assert floor(80782 * sqrt(2)) == 114242 + + # issue 20076 + assert 260515 - floor(260515/pi + 1/2) * pi == atan(tan(260515)) + + assert floor(x).evalf(subs={x: sqrt(2)}) == 1.0 + + +def test_evalf_trig_zero_detection(): + a = sin(160*pi, evaluate=False) + t = a.evalf(maxn=100) + assert abs(t) < 1e-100 + assert t._prec < 2 + assert a.evalf(chop=True) == 0 + raises(PrecisionExhausted, lambda: a.evalf(strict=True)) + + +def test_evalf_sum(): + assert Sum(n,(n,1,2)).evalf() == 3. + assert Sum(n,(n,1,2)).doit().evalf() == 3. + # the next test should return instantly + assert Sum(1/n,(n,1,2)).evalf() == 1.5 + + # issue 8219 + assert Sum(E/factorial(n), (n, 0, oo)).evalf() == (E*E).evalf() + # issue 8254 + assert Sum(2**n*n/factorial(n), (n, 0, oo)).evalf() == (2*E*E).evalf() + # issue 8411 + s = Sum(1/x**2, (x, 100, oo)) + assert s.n() == s.doit().n() + + +def test_evalf_divergent_series(): + raises(ValueError, lambda: Sum(1/n, (n, 1, oo)).evalf()) + raises(ValueError, lambda: Sum(n/(n**2 + 1), (n, 1, oo)).evalf()) + raises(ValueError, lambda: Sum((-1)**n, (n, 1, oo)).evalf()) + raises(ValueError, lambda: Sum((-1)**n, (n, 1, oo)).evalf()) + raises(ValueError, lambda: Sum(n**2, (n, 1, oo)).evalf()) + raises(ValueError, lambda: Sum(2**n, (n, 1, oo)).evalf()) + raises(ValueError, lambda: Sum((-2)**n, (n, 1, oo)).evalf()) + raises(ValueError, lambda: Sum((2*n + 3)/(3*n**2 + 4), (n, 0, oo)).evalf()) + raises(ValueError, lambda: Sum((0.5*n**3)/(n**4 + 1), (n, 0, oo)).evalf()) + + +def test_evalf_product(): + assert Product(n, (n, 1, 10)).evalf() == 3628800. + assert comp(Product(1 - S.Half**2/n**2, (n, 1, oo)).n(5), 0.63662) + assert Product(n, (n, -1, 3)).evalf() == 0 + + +def test_evalf_py_methods(): + assert abs(float(pi + 1) - 4.1415926535897932) < 1e-10 + assert abs(complex(pi + 1) - 4.1415926535897932) < 1e-10 + assert abs( + complex(pi + E*I) - (3.1415926535897931 + 2.7182818284590451j)) < 1e-10 + raises(TypeError, lambda: float(pi + x)) + + +def test_evalf_power_subs_bugs(): + assert (x**2).evalf(subs={x: 0}) == 0 + assert sqrt(x).evalf(subs={x: 0}) == 0 + assert (x**Rational(2, 3)).evalf(subs={x: 0}) == 0 + assert (x**x).evalf(subs={x: 0}) == 1.0 + assert (3**x).evalf(subs={x: 0}) == 1.0 + assert exp(x).evalf(subs={x: 0}) == 1.0 + assert ((2 + I)**x).evalf(subs={x: 0}) == 1.0 + assert (0**x).evalf(subs={x: 0}) == 1.0 + + +def test_evalf_arguments(): + raises(TypeError, lambda: pi.evalf(method="garbage")) + + +def test_implemented_function_evalf(): + from sympy.utilities.lambdify import implemented_function + f = Function('f') + f = implemented_function(f, lambda x: x + 1) + assert str(f(x)) == "f(x)" + assert str(f(2)) == "f(2)" + assert f(2).evalf() == 3.0 + assert f(x).evalf() == f(x) + f = implemented_function(Function('sin'), lambda x: x + 1) + assert f(2).evalf() != sin(2) + del f._imp_ # XXX: due to caching _imp_ would influence all other tests + + +def test_evaluate_false(): + for no in [0, False]: + assert Add(3, 2, evaluate=no).is_Add + assert Mul(3, 2, evaluate=no).is_Mul + assert Pow(3, 2, evaluate=no).is_Pow + assert Pow(y, 2, evaluate=True) - Pow(y, 2, evaluate=True) == 0 + + +def test_evalf_relational(): + assert Eq(x/5, y/10).evalf() == Eq(0.2*x, 0.1*y) + # if this first assertion fails it should be replaced with + # one that doesn't + assert unchanged(Eq, (3 - I)**2/2 + I, 0) + assert Eq((3 - I)**2/2 + I, 0).n() is S.false + assert nfloat(Eq((3 - I)**2 + I, 0)) == S.false + + +def test_issue_5486(): + assert not cos(sqrt(0.5 + I)).n().is_Function + + +def test_issue_5486_bug(): + from sympy.core.expr import Expr + from sympy.core.numbers import I + assert abs(Expr._from_mpmath(I._to_mpmath(15), 15) - I) < 1.0e-15 + + +def test_bugs(): + from sympy.functions.elementary.complexes import (polar_lift, re) + + assert abs(re((1 + I)**2)) < 1e-15 + + # anything that evalf's to 0 will do in place of polar_lift + assert abs(polar_lift(0)).n() == 0 + + +def test_subs(): + assert NS('besseli(-x, y) - besseli(x, y)', subs={x: 3.5, y: 20.0}) == \ + '-4.92535585957223e-10' + assert NS('Piecewise((x, x>0)) + Piecewise((1-x, x>0))', subs={x: 0.1}) == \ + '1.00000000000000' + raises(TypeError, lambda: x.evalf(subs=(x, 1))) + + +def test_issue_4956_5204(): + # issue 4956 + v = S('''(-27*12**(1/3)*sqrt(31)*I + + 27*2**(2/3)*3**(1/3)*sqrt(31)*I)/(-2511*2**(2/3)*3**(1/3) + + (29*18**(1/3) + 9*2**(1/3)*3**(2/3)*sqrt(31)*I + + 87*2**(1/3)*3**(1/6)*I)**2)''') + assert NS(v, 1) == '0.e-118 - 0.e-118*I' + + # issue 5204 + v = S('''-(357587765856 + 18873261792*249**(1/2) + 56619785376*I*83**(1/2) + + 108755765856*I*3**(1/2) + 41281887168*6**(1/3)*(1422 + + 54*249**(1/2))**(1/3) - 1239810624*6**(1/3)*249**(1/2)*(1422 + + 54*249**(1/2))**(1/3) - 3110400000*I*6**(1/3)*83**(1/2)*(1422 + + 54*249**(1/2))**(1/3) + 13478400000*I*3**(1/2)*6**(1/3)*(1422 + + 54*249**(1/2))**(1/3) + 1274950152*6**(2/3)*(1422 + + 54*249**(1/2))**(2/3) + 32347944*6**(2/3)*249**(1/2)*(1422 + + 54*249**(1/2))**(2/3) - 1758790152*I*3**(1/2)*6**(2/3)*(1422 + + 54*249**(1/2))**(2/3) - 304403832*I*6**(2/3)*83**(1/2)*(1422 + + 4*249**(1/2))**(2/3))/(175732658352 + (1106028 + 25596*249**(1/2) + + 76788*I*83**(1/2))**2)''') + assert NS(v, 5) == '0.077284 + 1.1104*I' + assert NS(v, 1) == '0.08 + 1.*I' + + +def test_old_docstring(): + a = (E + pi*I)*(E - pi*I) + assert NS(a) == '17.2586605000200' + assert a.n() == 17.25866050002001 + + +def test_issue_4806(): + assert integrate(atan(x)**2, (x, -1, 1)).evalf().round(1) == Float(0.5, 1) + assert atan(0, evaluate=False).n() == 0 + + +def test_evalf_mul(): + # SymPy should not try to expand this; it should be handled term-wise + # in evalf through mpmath + assert NS(product(1 + sqrt(n)*I, (n, 1, 500)), 1) == '5.e+567 + 2.e+568*I' + + +def test_scaled_zero(): + a, b = (([0], 1, 100, 1), -1) + assert scaled_zero(100) == (a, b) + assert scaled_zero(a) == (0, 1, 100, 1) + a, b = (([1], 1, 100, 1), -1) + assert scaled_zero(100, -1) == (a, b) + assert scaled_zero(a) == (1, 1, 100, 1) + raises(ValueError, lambda: scaled_zero(scaled_zero(100))) + raises(ValueError, lambda: scaled_zero(100, 2)) + raises(ValueError, lambda: scaled_zero(100, 0)) + raises(ValueError, lambda: scaled_zero((1, 5, 1, 3))) + + +def test_chop_value(): + for i in range(-27, 28): + assert (Pow(10, i)*2).n(chop=10**i) and not (Pow(10, i)).n(chop=10**i) + + +def test_infinities(): + assert oo.evalf(chop=True) == inf + assert (-oo).evalf(chop=True) == ninf + + +def test_to_mpmath(): + assert sqrt(3)._to_mpmath(20)._mpf_ == (0, int(908093), -19, 20) + assert S(3.2)._to_mpmath(20)._mpf_ == (0, int(838861), -18, 20) + + +def test_issue_6632_evalf(): + add = (-100000*sqrt(2500000001) + 5000000001) + assert add.n() == 9.999999998e-11 + assert (add*add).n() == 9.999999996e-21 + + +def test_issue_4945(): + from sympy.abc import H + assert (H/0).evalf(subs={H:1}) == zoo + + +def test_evalf_integral(): + # test that workprec has to increase in order to get a result other than 0 + eps = Rational(1, 1000000) + assert Integral(sin(x), (x, -pi, pi + eps)).n(2)._prec == 10 + + +def test_issue_8821_highprec_from_str(): + s = str(pi.evalf(128)) + p = N(s) + assert Abs(sin(p)) < 1e-15 + p = N(s, 64) + assert Abs(sin(p)) < 1e-64 + + +def test_issue_8853(): + p = Symbol('x', even=True, positive=True) + assert floor(-p - S.Half).is_even == False + assert floor(-p + S.Half).is_even == True + assert ceiling(p - S.Half).is_even == True + assert ceiling(p + S.Half).is_even == False + + assert get_integer_part(S.Half, -1, {}, True) == (0, 0) + assert get_integer_part(S.Half, 1, {}, True) == (1, 0) + assert get_integer_part(Rational(-1, 2), -1, {}, True) == (-1, 0) + assert get_integer_part(Rational(-1, 2), 1, {}, True) == (0, 0) + + +def test_issue_17681(): + class identity_func(Function): + + def _eval_evalf(self, *args, **kwargs): + return self.args[0].evalf(*args, **kwargs) + + assert floor(identity_func(S(0))) == 0 + assert get_integer_part(S(0), 1, {}, True) == (0, 0) + + +def test_issue_9326(): + from sympy.core.symbol import Dummy + d1 = Dummy('d') + d2 = Dummy('d') + e = d1 + d2 + assert e.evalf(subs = {d1: 1, d2: 2}) == 3.0 + + +def test_issue_10323(): + assert ceiling(sqrt(2**30 + 1)) == 2**15 + 1 + + +def test_AssocOp_Function(): + # the first arg of Min is not comparable in the imaginary part + raises(ValueError, lambda: S(''' + Min(-sqrt(3)*cos(pi/18)/6 + re(1/((-1/2 - sqrt(3)*I/2)*(1/6 + + sqrt(3)*I/18)**(1/3)))/3 + sin(pi/18)/2 + 2 + I*(-cos(pi/18)/2 - + sqrt(3)*sin(pi/18)/6 + im(1/((-1/2 - sqrt(3)*I/2)*(1/6 + + sqrt(3)*I/18)**(1/3)))/3), re(1/((-1/2 + sqrt(3)*I/2)*(1/6 + + sqrt(3)*I/18)**(1/3)))/3 - sqrt(3)*cos(pi/18)/6 - sin(pi/18)/2 + 2 + + I*(im(1/((-1/2 + sqrt(3)*I/2)*(1/6 + sqrt(3)*I/18)**(1/3)))/3 - + sqrt(3)*sin(pi/18)/6 + cos(pi/18)/2))''')) + # if that is changed so a non-comparable number remains as + # an arg, then the Min/Max instantiation needs to be changed + # to watch out for non-comparable args when making simplifications + # and the following test should be added instead (with e being + # the sympified expression above): + # raises(ValueError, lambda: e._eval_evalf(2)) + + +def test_issue_10395(): + eq = x*Max(0, y) + assert nfloat(eq) == eq + eq = x*Max(y, -1.1) + assert nfloat(eq) == eq + assert Max(y, 4).n() == Max(4.0, y) + + +def test_issue_13098(): + assert floor(log(S('9.'+'9'*20), 10)) == 0 + assert ceiling(log(S('9.'+'9'*20), 10)) == 1 + assert floor(log(20 - S('9.'+'9'*20), 10)) == 1 + assert ceiling(log(20 - S('9.'+'9'*20), 10)) == 2 + + +def test_issue_14601(): + e = 5*x*y/2 - y*(35*(x**3)/2 - 15*x/2) + subst = {x:0.0, y:0.0} + e2 = e.evalf(subs=subst) + assert float(e2) == 0.0 + assert float((x + x*(x**2 + x)).evalf(subs={x: 0.0})) == 0.0 + + +def test_issue_11151(): + z = S.Zero + e = Sum(z, (x, 1, 2)) + assert e != z # it shouldn't evaluate + # when it does evaluate, this is what it should give + assert evalf(e, 15, {}) == \ + evalf(z, 15, {}) == (None, None, 15, None) + # so this shouldn't fail + assert (e/2).n() == 0 + # this was where the issue appeared + expr0 = Sum(x**2 + x, (x, 1, 2)) + expr1 = Sum(0, (x, 1, 2)) + expr2 = expr1/expr0 + assert simplify(factor(expr2) - expr2) == 0 + + +def test_issue_13425(): + assert N('2**.5', 30) == N('sqrt(2)', 30) + assert N('x - x', 30) == 0 + assert abs((N('pi*.1', 22)*10 - pi).n()) < 1e-22 + + +def test_issue_17421(): + assert N(acos(-I + acosh(cosh(cosh(1) + I)))) == 1.0*I + + +def test_issue_20291(): + from sympy.sets import EmptySet, Reals + from sympy.sets.sets import (Complement, FiniteSet, Intersection) + a = Symbol('a') + b = Symbol('b') + A = FiniteSet(a, b) + assert A.evalf(subs={a: 1, b: 2}) == FiniteSet(1.0, 2.0) + B = FiniteSet(a-b, 1) + assert B.evalf(subs={a: 1, b: 2}) == FiniteSet(-1.0, 1.0) + + sol = Complement(Intersection(FiniteSet(-b/2 - sqrt(b**2-4*pi)/2), Reals), FiniteSet(0)) + assert sol.evalf(subs={b: 1}) == EmptySet + + +def test_evalf_with_zoo(): + assert (1/x).evalf(subs={x: 0}) == zoo # issue 8242 + assert (-1/x).evalf(subs={x: 0}) == zoo # PR 16150 + assert (0 ** x).evalf(subs={x: -1}) == zoo # PR 16150 + assert (0 ** x).evalf(subs={x: -1 + I}) == nan + assert Mul(2, Pow(0, -1, evaluate=False), evaluate=False).evalf() == zoo # issue 21147 + assert Mul(x, 1/x, evaluate=False).evalf(subs={x: 0}) == Mul(x, 1/x, evaluate=False).subs(x, 0) == nan + assert Mul(1/x, 1/x, evaluate=False).evalf(subs={x: 0}) == zoo + assert Mul(1/x, Abs(1/x), evaluate=False).evalf(subs={x: 0}) == zoo + assert Abs(zoo, evaluate=False).evalf() == oo + assert re(zoo, evaluate=False).evalf() == nan + assert im(zoo, evaluate=False).evalf() == nan + assert Add(zoo, zoo, evaluate=False).evalf() == nan + assert Add(oo, zoo, evaluate=False).evalf() == nan + assert Pow(zoo, -1, evaluate=False).evalf() == 0 + assert Pow(zoo, Rational(-1, 3), evaluate=False).evalf() == 0 + assert Pow(zoo, Rational(1, 3), evaluate=False).evalf() == zoo + assert Pow(zoo, S.Half, evaluate=False).evalf() == zoo + assert Pow(zoo, 2, evaluate=False).evalf() == zoo + assert Pow(0, zoo, evaluate=False).evalf() == nan + assert log(zoo, evaluate=False).evalf() == zoo + assert zoo.evalf(chop=True) == zoo + assert x.evalf(subs={x: zoo}) == zoo + + +def test_evalf_with_bounded_error(): + cases = [ + # zero + (Rational(0), None, 1), + # zero im part + (pi, None, 10), + # zero real part + (pi*I, None, 10), + # re and im nonzero + (2-3*I, None, 5), + # similar tests again, but using eps instead of m + (Rational(0), Rational(1, 2), None), + (pi, Rational(1, 1000), None), + (pi * I, Rational(1, 1000), None), + (2 - 3 * I, Rational(1, 1000), None), + # very large eps + (2 - 3 * I, Rational(1000), None), + # case where x already small, hence some cancellation in p = m + n - 1 + (Rational(1234, 10**8), Rational(1, 10**12), None), + ] + for x0, eps, m in cases: + a, b, _, _ = evalf(x0, 53, {}) + c, d, _, _ = _evalf_with_bounded_error(x0, eps, m) + if eps is None: + eps = 2**(-m) + z = make_mpc((a or fzero, b or fzero)) + w = make_mpc((c or fzero, d or fzero)) + assert abs(w - z) < eps + + # eps must be positive + raises(ValueError, lambda: _evalf_with_bounded_error(pi, Rational(0))) + raises(ValueError, lambda: _evalf_with_bounded_error(pi, -pi)) + raises(ValueError, lambda: _evalf_with_bounded_error(pi, I)) + + +def test_issue_22849(): + a = -8 + 3 * sqrt(3) + x = AlgebraicNumber(a) + assert evalf(a, 1, {}) == evalf(x, 1, {}) + + +def test_evalf_real_alg_num(): + # This test demonstrates why the entry for `AlgebraicNumber` in + # `sympy.core.evalf._create_evalf_table()` has to use `x.to_root()`, + # instead of `x.as_expr()`. If the latter is used, then `z` will be + # a complex number with `0.e-20` for imaginary part, even though `a5` + # is a real number. + zeta = Symbol('zeta') + a5 = AlgebraicNumber(CRootOf(cyclotomic_poly(5), -1), [-1, -1, 0, 0], alias=zeta) + z = a5.evalf() + assert isinstance(z, Float) + assert not hasattr(z, '_mpc_') + assert hasattr(z, '_mpf_') + + +def test_issue_20733(): + expr = 1/((x - 9)*(x - 8)*(x - 7)*(x - 4)**2*(x - 3)**3*(x - 2)) + assert str(expr.evalf(1, subs={x:1})) == '-4.e-5' + assert str(expr.evalf(2, subs={x:1})) == '-4.1e-5' + assert str(expr.evalf(11, subs={x:1})) == '-4.1335978836e-5' + assert str(expr.evalf(20, subs={x:1})) == '-0.000041335978835978835979' + + expr = Mul(*((x - i) for i in range(2, 1000))) + assert srepr(expr.evalf(2, subs={x: 1})) == "Float('4.0271e+2561', precision=10)" + assert srepr(expr.evalf(10, subs={x: 1})) == "Float('4.02790050126e+2561', precision=37)" + assert srepr(expr.evalf(53, subs={x: 1})) == "Float('4.0279005012722099453824067459760158730668154575647110393e+2561', precision=179)" diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_expand.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_expand.py new file mode 100644 index 0000000000000000000000000000000000000000..e7abb5daacebbe81664b3de3a7ac35a490ab31bc --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_expand.py @@ -0,0 +1,364 @@ +from sympy.core.expr import unchanged +from sympy.core.mul import Mul +from sympy.core.numbers import (I, Rational as R, pi) +from sympy.core.power import Pow +from sympy.core.singleton import S +from sympy.core.symbol import Symbol +from sympy.functions.combinatorial.factorials import factorial +from sympy.functions.elementary.exponential import (exp, log) +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.trigonometric import (cos, sin) +from sympy.series.order import O +from sympy.simplify.radsimp import expand_numer +from sympy.core.function import (expand, expand_multinomial, + expand_power_base, expand_log) + +from sympy.testing.pytest import raises +from sympy.core.random import verify_numerically + +from sympy.abc import x, y, z + + +def test_expand_no_log(): + assert ( + (1 + log(x**4))**2).expand(log=False) == 1 + 2*log(x**4) + log(x**4)**2 + assert ((1 + log(x**4))*(1 + log(x**3))).expand( + log=False) == 1 + log(x**4) + log(x**3) + log(x**4)*log(x**3) + + +def test_expand_no_multinomial(): + assert ((1 + x)*(1 + (1 + x)**4)).expand(multinomial=False) == \ + 1 + x + (1 + x)**4 + x*(1 + x)**4 + + +def test_expand_negative_integer_powers(): + expr = (x + y)**(-2) + assert expr.expand() == 1 / (2*x*y + x**2 + y**2) + assert expr.expand(multinomial=False) == (x + y)**(-2) + expr = (x + y)**(-3) + assert expr.expand() == 1 / (3*x*x*y + 3*x*y*y + x**3 + y**3) + assert expr.expand(multinomial=False) == (x + y)**(-3) + expr = (x + y)**(2) * (x + y)**(-4) + assert expr.expand() == 1 / (2*x*y + x**2 + y**2) + assert expr.expand(multinomial=False) == (x + y)**(-2) + + +def test_expand_non_commutative(): + A = Symbol('A', commutative=False) + B = Symbol('B', commutative=False) + C = Symbol('C', commutative=False) + a = Symbol('a') + b = Symbol('b') + i = Symbol('i', integer=True) + n = Symbol('n', negative=True) + m = Symbol('m', negative=True) + p = Symbol('p', polar=True) + np = Symbol('p', polar=False) + + assert (C*(A + B)).expand() == C*A + C*B + assert (C*(A + B)).expand() != A*C + B*C + assert ((A + B)**2).expand() == A**2 + A*B + B*A + B**2 + assert ((A + B)**3).expand() == (A**2*B + B**2*A + A*B**2 + B*A**2 + + A**3 + B**3 + A*B*A + B*A*B) + # issue 6219 + assert ((a*A*B*A**-1)**2).expand() == a**2*A*B**2/A + # Note that (a*A*B*A**-1)**2 is automatically converted to a**2*(A*B*A**-1)**2 + assert ((a*A*B*A**-1)**2).expand(deep=False) == a**2*(A*B*A**-1)**2 + assert ((a*A*B*A**-1)**2).expand() == a**2*(A*B**2*A**-1) + assert ((a*A*B*A**-1)**2).expand(force=True) == a**2*A*B**2*A**(-1) + assert ((a*A*B)**2).expand() == a**2*A*B*A*B + assert ((a*A)**2).expand() == a**2*A**2 + assert ((a*A*B)**i).expand() == a**i*(A*B)**i + assert ((a*A*(B*(A*B/A)**2))**i).expand() == a**i*(A*B*A*B**2/A)**i + # issue 6558 + assert (A*B*(A*B)**-1).expand() == 1 + assert ((a*A)**i).expand() == a**i*A**i + assert ((a*A*B*A**-1)**3).expand() == a**3*A*B**3/A + assert ((a*A*B*A*B/A)**3).expand() == \ + a**3*A*B*(A*B**2)*(A*B**2)*A*B*A**(-1) + assert ((a*A*B*A*B/A)**-2).expand() == \ + A*B**-1*A**-1*B**-2*A**-1*B**-1*A**-1/a**2 + assert ((a*b*A*B*A**-1)**i).expand() == a**i*b**i*(A*B/A)**i + assert ((a*(a*b)**i)**i).expand() == a**i*a**(i**2)*b**(i**2) + e = Pow(Mul(a, 1/a, A, B, evaluate=False), S(2), evaluate=False) + assert e.expand() == A*B*A*B + assert sqrt(a*(A*b)**i).expand() == sqrt(a*b**i*A**i) + assert (sqrt(-a)**a).expand() == sqrt(-a)**a + assert expand((-2*n)**(i/3)) == 2**(i/3)*(-n)**(i/3) + assert expand((-2*n*m)**(i/a)) == (-2)**(i/a)*(-n)**(i/a)*(-m)**(i/a) + assert expand((-2*a*p)**b) == 2**b*p**b*(-a)**b + assert expand((-2*a*np)**b) == 2**b*(-a*np)**b + assert expand(sqrt(A*B)) == sqrt(A*B) + assert expand(sqrt(-2*a*b)) == sqrt(2)*sqrt(-a*b) + + +def test_expand_radicals(): + a = (x + y)**R(1, 2) + + assert (a**1).expand() == a + assert (a**3).expand() == x*a + y*a + assert (a**5).expand() == x**2*a + 2*x*y*a + y**2*a + + assert (1/a**1).expand() == 1/a + assert (1/a**3).expand() == 1/(x*a + y*a) + assert (1/a**5).expand() == 1/(x**2*a + 2*x*y*a + y**2*a) + + a = (x + y)**R(1, 3) + + assert (a**1).expand() == a + assert (a**2).expand() == a**2 + assert (a**4).expand() == x*a + y*a + assert (a**5).expand() == x*a**2 + y*a**2 + assert (a**7).expand() == x**2*a + 2*x*y*a + y**2*a + + +def test_expand_modulus(): + assert ((x + y)**11).expand(modulus=11) == x**11 + y**11 + assert ((x + sqrt(2)*y)**11).expand(modulus=11) == x**11 + 10*sqrt(2)*y**11 + assert (x + y/2).expand(modulus=1) == y/2 + + raises(ValueError, lambda: ((x + y)**11).expand(modulus=0)) + raises(ValueError, lambda: ((x + y)**11).expand(modulus=x)) + + +def test_issue_5743(): + assert (x*sqrt( + x + y)*(1 + sqrt(x + y))).expand() == x**2 + x*y + x*sqrt(x + y) + assert (x*sqrt( + x + y)*(1 + x*sqrt(x + y))).expand() == x**3 + x**2*y + x*sqrt(x + y) + + +def test_expand_frac(): + assert expand((x + y)*y/x/(x + 1), frac=True) == \ + (x*y + y**2)/(x**2 + x) + assert expand((x + y)*y/x/(x + 1), numer=True) == \ + (x*y + y**2)/(x*(x + 1)) + assert expand((x + y)*y/x/(x + 1), denom=True) == \ + y*(x + y)/(x**2 + x) + eq = (x + 1)**2/y + assert expand_numer(eq, multinomial=False) == eq + # issue 26329 + eq = (exp(x*z) - exp(y*z))/exp(z*(x + y)) + ans = exp(-y*z) - exp(-x*z) + assert eq.expand(numer=True) != ans + assert eq.expand(numer=True, exact=True) == ans + assert expand_numer(eq) != ans + assert expand_numer(eq, exact=True) == ans + + +def test_issue_6121(): + eq = -I*exp(-3*I*pi/4)/(4*pi**(S(3)/2)*sqrt(x)) + assert eq.expand(complex=True) # does not give oo recursion + eq = -I*exp(-3*I*pi/4)/(4*pi**(R(3, 2))*sqrt(x)) + assert eq.expand(complex=True) # does not give oo recursion + + +def test_expand_power_base(): + assert expand_power_base((x*y*z)**4) == x**4*y**4*z**4 + assert expand_power_base((x*y*z)**x).is_Pow + assert expand_power_base((x*y*z)**x, force=True) == x**x*y**x*z**x + assert expand_power_base((x*(y*z)**2)**3) == x**3*y**6*z**6 + + assert expand_power_base((sin((x*y)**2)*y)**z).is_Pow + assert expand_power_base( + (sin((x*y)**2)*y)**z, force=True) == sin((x*y)**2)**z*y**z + assert expand_power_base( + (sin((x*y)**2)*y)**z, deep=True) == (sin(x**2*y**2)*y)**z + + assert expand_power_base(exp(x)**2) == exp(2*x) + assert expand_power_base((exp(x)*exp(y))**2) == exp(2*x)*exp(2*y) + + assert expand_power_base( + (exp((x*y)**z)*exp(y))**2) == exp(2*(x*y)**z)*exp(2*y) + assert expand_power_base((exp((x*y)**z)*exp( + y))**2, deep=True, force=True) == exp(2*x**z*y**z)*exp(2*y) + + assert expand_power_base((exp(x)*exp(y))**z).is_Pow + assert expand_power_base( + (exp(x)*exp(y))**z, force=True) == exp(x)**z*exp(y)**z + + +def test_expand_arit(): + a = Symbol("a") + b = Symbol("b", positive=True) + c = Symbol("c") + + p = R(5) + e = (a + b)*c + assert e == c*(a + b) + assert (e.expand() - a*c - b*c) == R(0) + e = (a + b)*(a + b) + assert e == (a + b)**2 + assert e.expand() == 2*a*b + a**2 + b**2 + e = (a + b)*(a + b)**R(2) + assert e == (a + b)**3 + assert e.expand() == 3*b*a**2 + 3*a*b**2 + a**3 + b**3 + assert e.expand() == 3*b*a**2 + 3*a*b**2 + a**3 + b**3 + e = (a + b)*(a + c)*(b + c) + assert e == (a + c)*(a + b)*(b + c) + assert e.expand() == 2*a*b*c + b*a**2 + c*a**2 + b*c**2 + a*c**2 + c*b**2 + a*b**2 + e = (a + R(1))**p + assert e == (1 + a)**5 + assert e.expand() == 1 + 5*a + 10*a**2 + 10*a**3 + 5*a**4 + a**5 + e = (a + b + c)*(a + c + p) + assert e == (5 + a + c)*(a + b + c) + assert e.expand() == 5*a + 5*b + 5*c + 2*a*c + b*c + a*b + a**2 + c**2 + x = Symbol("x") + s = exp(x*x) - 1 + e = s.nseries(x, 0, 6)/x**2 + assert e.expand() == 1 + x**2/2 + O(x**4) + + e = (x*(y + z))**(x*(y + z))*(x + y) + assert e.expand(power_exp=False, power_base=False) == x*(x*y + x* + z)**(x*y + x*z) + y*(x*y + x*z)**(x*y + x*z) + assert e.expand(power_exp=False, power_base=False, deep=False) == x* \ + (x*(y + z))**(x*(y + z)) + y*(x*(y + z))**(x*(y + z)) + e = x * (x + (y + 1)**2) + assert e.expand(deep=False) == x**2 + x*(y + 1)**2 + e = (x*(y + z))**z + assert e.expand(power_base=True, mul=True, deep=True) in [x**z*(y + + z)**z, (x*y + x*z)**z] + assert ((2*y)**z).expand() == 2**z*y**z + p = Symbol('p', positive=True) + assert sqrt(-x).expand().is_Pow + assert sqrt(-x).expand(force=True) == I*sqrt(x) + assert ((2*y*p)**z).expand() == 2**z*p**z*y**z + assert ((2*y*p*x)**z).expand() == 2**z*p**z*(x*y)**z + assert ((2*y*p*x)**z).expand(force=True) == 2**z*p**z*x**z*y**z + assert ((2*y*p*-pi)**z).expand() == 2**z*pi**z*p**z*(-y)**z + assert ((2*y*p*-pi*x)**z).expand() == 2**z*pi**z*p**z*(-x*y)**z + n = Symbol('n', negative=True) + m = Symbol('m', negative=True) + assert ((-2*x*y*n)**z).expand() == 2**z*(-n)**z*(x*y)**z + assert ((-2*x*y*n*m)**z).expand() == 2**z*(-m)**z*(-n)**z*(-x*y)**z + # issue 5482 + assert sqrt(-2*x*n) == sqrt(2)*sqrt(-n)*sqrt(x) + # issue 5605 (2) + assert (cos(x + y)**2).expand(trig=True) in [ + (-sin(x)*sin(y) + cos(x)*cos(y))**2, + sin(x)**2*sin(y)**2 - 2*sin(x)*sin(y)*cos(x)*cos(y) + cos(x)**2*cos(y)**2 + ] + + # Check that this isn't too slow + x = Symbol('x') + W = 1 + for i in range(1, 21): + W = W * (x - i) + W = W.expand() + assert W.has(-1672280820*x**15) + +def test_expand_mul(): + # part of issue 20597 + e = Mul(2, 3, evaluate=False) + assert e.expand() == 6 + + e = Mul(2, 3, 1/x, evaluate=False) + assert e.expand() == 6/x + e = Mul(2, R(1, 3), evaluate=False) + assert e.expand() == R(2, 3) + +def test_power_expand(): + """Test for Pow.expand()""" + a = Symbol('a') + b = Symbol('b') + p = (a + b)**2 + assert p.expand() == a**2 + b**2 + 2*a*b + + p = (1 + 2*(1 + a))**2 + assert p.expand() == 9 + 4*(a**2) + 12*a + + p = 2**(a + b) + assert p.expand() == 2**a*2**b + + A = Symbol('A', commutative=False) + B = Symbol('B', commutative=False) + assert (2**(A + B)).expand() == 2**(A + B) + assert (A**(a + b)).expand() != A**(a + b) + + +def test_issues_5919_6830(): + # issue 5919 + n = -1 + 1/x + z = n/x/(-n)**2 - 1/n/x + assert expand(z) == 1/(x**2 - 2*x + 1) - 1/(x - 2 + 1/x) - 1/(-x + 1) + + # issue 6830 + p = (1 + x)**2 + assert expand_multinomial((1 + x*p)**2) == ( + x**2*(x**4 + 4*x**3 + 6*x**2 + 4*x + 1) + 2*x*(x**2 + 2*x + 1) + 1) + assert expand_multinomial((1 + (y + x)*p)**2) == ( + 2*((x + y)*(x**2 + 2*x + 1)) + (x**2 + 2*x*y + y**2)* + (x**4 + 4*x**3 + 6*x**2 + 4*x + 1) + 1) + A = Symbol('A', commutative=False) + p = (1 + A)**2 + assert expand_multinomial((1 + x*p)**2) == ( + x**2*(1 + 4*A + 6*A**2 + 4*A**3 + A**4) + 2*x*(1 + 2*A + A**2) + 1) + assert expand_multinomial((1 + (y + x)*p)**2) == ( + (x + y)*(1 + 2*A + A**2)*2 + (x**2 + 2*x*y + y**2)* + (1 + 4*A + 6*A**2 + 4*A**3 + A**4) + 1) + assert expand_multinomial((1 + (y + x)*p)**3) == ( + (x + y)*(1 + 2*A + A**2)*3 + (x**2 + 2*x*y + y**2)*(1 + 4*A + + 6*A**2 + 4*A**3 + A**4)*3 + (x**3 + 3*x**2*y + 3*x*y**2 + y**3)*(1 + 6*A + + 15*A**2 + 20*A**3 + 15*A**4 + 6*A**5 + A**6) + 1) + # unevaluate powers + eq = (Pow((x + 1)*((A + 1)**2), 2, evaluate=False)) + # - in this case the base is not an Add so no further + # expansion is done + assert expand_multinomial(eq) == \ + (x**2 + 2*x + 1)*(1 + 4*A + 6*A**2 + 4*A**3 + A**4) + # - but here, the expanded base *is* an Add so it gets expanded + eq = (Pow(((A + 1)**2), 2, evaluate=False)) + assert expand_multinomial(eq) == 1 + 4*A + 6*A**2 + 4*A**3 + A**4 + + # coverage + def ok(a, b, n): + e = (a + I*b)**n + return verify_numerically(e, expand_multinomial(e)) + + for a in [2, S.Half]: + for b in [3, R(1, 3)]: + for n in range(2, 6): + assert ok(a, b, n) + + assert expand_multinomial((x + 1 + O(z))**2) == \ + 1 + 2*x + x**2 + O(z) + assert expand_multinomial((x + 1 + O(z))**3) == \ + 1 + 3*x + 3*x**2 + x**3 + O(z) + + assert expand_multinomial(3**(x + y + 3)) == 27*3**(x + y) + +def test_expand_log(): + t = Symbol('t', positive=True) + # after first expansion, -2*log(2) + log(4); then 0 after second + assert expand(log(t**2) - log(t**2/4) - 2*log(2)) == 0 + assert expand_log(log(7*6)/log(6)) == 1 + log(7)/log(6) + b = factorial(10) + assert expand_log(log(7*b**4)/log(b) + ) == 4 + log(7)/log(b) + + +def test_issue_23952(): + assert (x**(y + z)).expand(force=True) == x**y*x**z + one = Symbol('1', integer=True, prime=True, odd=True, positive=True) + two = Symbol('2', integer=True, prime=True, even=True) + e = two - one + for b in (0, x): + # 0**e = 0, 0**-e = zoo; but if expanded then nan + assert unchanged(Pow, b, e) # power_exp + assert unchanged(Pow, b, -e) # power_exp + assert unchanged(Pow, b, y - x) # power_exp + assert unchanged(Pow, b, 3 - x) # multinomial + assert (b**e).expand().is_Pow # power_exp + assert (b**-e).expand().is_Pow # power_exp + assert (b**(y - x)).expand().is_Pow # power_exp + assert (b**(3 - x)).expand().is_Pow # multinomial + nn1 = Symbol('nn1', nonnegative=True) + nn2 = Symbol('nn2', nonnegative=True) + nn3 = Symbol('nn3', nonnegative=True) + assert (x**(nn1 + nn2)).expand() == x**nn1*x**nn2 + assert (x**(-nn1 - nn2)).expand() == x**-nn1*x**-nn2 + assert unchanged(Pow, x, nn1 + nn2 - nn3) + assert unchanged(Pow, x, 1 + nn2 - nn3) + assert unchanged(Pow, x, nn1 - nn2) + assert unchanged(Pow, x, 1 - nn2) + assert unchanged(Pow, x, -1 + nn2) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_expr.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_expr.py new file mode 100644 index 0000000000000000000000000000000000000000..af63823345e2b0564ebb7e9015bfe1b423c9bafa --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_expr.py @@ -0,0 +1,2313 @@ +from sympy.assumptions.refine import refine +from sympy.concrete.summations import Sum +from sympy.core.add import Add +from sympy.core.basic import Basic +from sympy.core.containers import Tuple +from sympy.core.expr import (ExprBuilder, unchanged, Expr, + UnevaluatedExpr) +from sympy.core.function import (Function, expand, WildFunction, + AppliedUndef, Derivative, diff, Subs) +from sympy.core.mul import Mul, _unevaluated_Mul +from sympy.core.numbers import (NumberSymbol, E, zoo, oo, Float, I, + Rational, nan, Integer, Number, pi, _illegal) +from sympy.core.power import Pow +from sympy.core.relational import Ge, Lt, Gt, Le +from sympy.core.singleton import S +from sympy.core.sorting import default_sort_key +from sympy.core.symbol import Symbol, symbols, Dummy, Wild +from sympy.core.sympify import sympify +from sympy.functions.combinatorial.factorials import factorial +from sympy.functions.elementary.exponential import exp_polar, exp, log +from sympy.functions.elementary.hyperbolic import sinh, tanh +from sympy.functions.elementary.miscellaneous import sqrt, Max +from sympy.functions.elementary.piecewise import Piecewise +from sympy.functions.elementary.trigonometric import tan, sin, cos +from sympy.functions.special.delta_functions import (Heaviside, + DiracDelta) +from sympy.functions.special.error_functions import Si +from sympy.functions.special.gamma_functions import gamma +from sympy.integrals.integrals import integrate, Integral +from sympy.physics.secondquant import FockState +from sympy.polys.partfrac import apart +from sympy.polys.polytools import factor, cancel, Poly +from sympy.polys.rationaltools import together +from sympy.series.order import O +from sympy.sets.sets import FiniteSet +from sympy.simplify.combsimp import combsimp +from sympy.simplify.gammasimp import gammasimp +from sympy.simplify.powsimp import powsimp +from sympy.simplify.radsimp import collect, radsimp +from sympy.simplify.ratsimp import ratsimp +from sympy.simplify.simplify import simplify, nsimplify +from sympy.simplify.trigsimp import trigsimp +from sympy.tensor.indexed import Indexed +from sympy.physics.units import meter + +from sympy.testing.pytest import raises, XFAIL + +from sympy.abc import a, b, c, n, t, u, x, y, z + + +f, g, h = symbols('f,g,h', cls=Function) + + +class DummyNumber: + """ + Minimal implementation of a number that works with SymPy. + + If one has a Number class (e.g. Sage Integer, or some other custom class) + that one wants to work well with SymPy, one has to implement at least the + methods of this class DummyNumber, resp. its subclasses I5 and F1_1. + + Basically, one just needs to implement either __int__() or __float__() and + then one needs to make sure that the class works with Python integers and + with itself. + """ + + def __radd__(self, a): + if isinstance(a, (int, float)): + return a + self.number + return NotImplemented + + def __add__(self, a): + if isinstance(a, (int, float, DummyNumber)): + return self.number + a + return NotImplemented + + def __rsub__(self, a): + if isinstance(a, (int, float)): + return a - self.number + return NotImplemented + + def __sub__(self, a): + if isinstance(a, (int, float, DummyNumber)): + return self.number - a + return NotImplemented + + def __rmul__(self, a): + if isinstance(a, (int, float)): + return a * self.number + return NotImplemented + + def __mul__(self, a): + if isinstance(a, (int, float, DummyNumber)): + return self.number * a + return NotImplemented + + def __rtruediv__(self, a): + if isinstance(a, (int, float)): + return a / self.number + return NotImplemented + + def __truediv__(self, a): + if isinstance(a, (int, float, DummyNumber)): + return self.number / a + return NotImplemented + + def __rpow__(self, a): + if isinstance(a, (int, float)): + return a ** self.number + return NotImplemented + + def __pow__(self, a): + if isinstance(a, (int, float, DummyNumber)): + return self.number ** a + return NotImplemented + + def __pos__(self): + return self.number + + def __neg__(self): + return - self.number + + +class I5(DummyNumber): + number = 5 + + def __int__(self): + return self.number + + +class F1_1(DummyNumber): + number = 1.1 + + def __float__(self): + return self.number + +i5 = I5() +f1_1 = F1_1() + +# basic SymPy objects +basic_objs = [ + Rational(2), + Float("1.3"), + x, + y, + pow(x, y)*y, +] + +# all supported objects +all_objs = basic_objs + [ + 5, + 5.5, + i5, + f1_1 +] + + +def dotest(s): + for xo in all_objs: + for yo in all_objs: + s(xo, yo) + return True + + +def test_basic(): + def j(a, b): + x = a + x = +a + x = -a + x = a + b + x = a - b + x = a*b + x = a/b + x = a**b + del x + assert dotest(j) + + +def test_ibasic(): + def s(a, b): + x = a + x += b + x = a + x -= b + x = a + x *= b + x = a + x /= b + assert dotest(s) + + +class NonBasic: + '''This class represents an object that knows how to implement binary + operations like +, -, etc with Expr but is not a subclass of Basic itself. + The NonExpr subclass below does subclass Basic but not Expr. + + For both NonBasic and NonExpr it should be possible for them to override + Expr.__add__ etc because Expr.__add__ should be returning NotImplemented + for non Expr classes. Otherwise Expr.__add__ would create meaningless + objects like Add(Integer(1), FiniteSet(2)) and it wouldn't be possible for + other classes to override these operations when interacting with Expr. + ''' + def __add__(self, other): + return SpecialOp('+', self, other) + + def __radd__(self, other): + return SpecialOp('+', other, self) + + def __sub__(self, other): + return SpecialOp('-', self, other) + + def __rsub__(self, other): + return SpecialOp('-', other, self) + + def __mul__(self, other): + return SpecialOp('*', self, other) + + def __rmul__(self, other): + return SpecialOp('*', other, self) + + def __truediv__(self, other): + return SpecialOp('/', self, other) + + def __rtruediv__(self, other): + return SpecialOp('/', other, self) + + def __floordiv__(self, other): + return SpecialOp('//', self, other) + + def __rfloordiv__(self, other): + return SpecialOp('//', other, self) + + def __mod__(self, other): + return SpecialOp('%', self, other) + + def __rmod__(self, other): + return SpecialOp('%', other, self) + + def __divmod__(self, other): + return SpecialOp('divmod', self, other) + + def __rdivmod__(self, other): + return SpecialOp('divmod', other, self) + + def __pow__(self, other): + return SpecialOp('**', self, other) + + def __rpow__(self, other): + return SpecialOp('**', other, self) + + def __lt__(self, other): + return SpecialOp('<', self, other) + + def __gt__(self, other): + return SpecialOp('>', self, other) + + def __le__(self, other): + return SpecialOp('<=', self, other) + + def __ge__(self, other): + return SpecialOp('>=', self, other) + + +class NonExpr(Basic, NonBasic): + '''Like NonBasic above except this is a subclass of Basic but not Expr''' + pass + + +class SpecialOp(): + '''Represents the results of operations with NonBasic and NonExpr''' + def __new__(cls, op, arg1, arg2): + obj = object.__new__(cls) + obj.args = (op, arg1, arg2) + return obj + + +class NonArithmetic(Basic): + '''Represents a Basic subclass that does not support arithmetic operations''' + pass + + +def test_cooperative_operations(): + '''Tests that Expr uses binary operations cooperatively. + + In particular it should be possible for non-Expr classes to override + binary operators like +, - etc when used with Expr instances. This should + work for non-Expr classes whether they are Basic subclasses or not. Also + non-Expr classes that do not define binary operators with Expr should give + TypeError. + ''' + # A bunch of instances of Expr subclasses + exprs = [ + Expr(), + S.Zero, + S.One, + S.Infinity, + S.NegativeInfinity, + S.ComplexInfinity, + S.Half, + Float(0.5), + Integer(2), + Symbol('x'), + Mul(2, Symbol('x')), + Add(2, Symbol('x')), + Pow(2, Symbol('x')), + ] + + for e in exprs: + # Test that these classes can override arithmetic operations in + # combination with various Expr types. + for ne in [NonBasic(), NonExpr()]: + + results = [ + (ne + e, ('+', ne, e)), + (e + ne, ('+', e, ne)), + (ne - e, ('-', ne, e)), + (e - ne, ('-', e, ne)), + (ne * e, ('*', ne, e)), + (e * ne, ('*', e, ne)), + (ne / e, ('/', ne, e)), + (e / ne, ('/', e, ne)), + (ne // e, ('//', ne, e)), + (e // ne, ('//', e, ne)), + (ne % e, ('%', ne, e)), + (e % ne, ('%', e, ne)), + (divmod(ne, e), ('divmod', ne, e)), + (divmod(e, ne), ('divmod', e, ne)), + (ne ** e, ('**', ne, e)), + (e ** ne, ('**', e, ne)), + (e < ne, ('>', ne, e)), + (ne < e, ('<', ne, e)), + (e > ne, ('<', ne, e)), + (ne > e, ('>', ne, e)), + (e <= ne, ('>=', ne, e)), + (ne <= e, ('<=', ne, e)), + (e >= ne, ('<=', ne, e)), + (ne >= e, ('>=', ne, e)), + ] + + for res, args in results: + assert type(res) is SpecialOp and res.args == args + + # These classes do not support binary operators with Expr. Every + # operation should raise in combination with any of the Expr types. + for na in [NonArithmetic(), object()]: + + raises(TypeError, lambda : e + na) + raises(TypeError, lambda : na + e) + raises(TypeError, lambda : e - na) + raises(TypeError, lambda : na - e) + raises(TypeError, lambda : e * na) + raises(TypeError, lambda : na * e) + raises(TypeError, lambda : e / na) + raises(TypeError, lambda : na / e) + raises(TypeError, lambda : e // na) + raises(TypeError, lambda : na // e) + raises(TypeError, lambda : e % na) + raises(TypeError, lambda : na % e) + raises(TypeError, lambda : divmod(e, na)) + raises(TypeError, lambda : divmod(na, e)) + raises(TypeError, lambda : e ** na) + raises(TypeError, lambda : na ** e) + raises(TypeError, lambda : e > na) + raises(TypeError, lambda : na > e) + raises(TypeError, lambda : e < na) + raises(TypeError, lambda : na < e) + raises(TypeError, lambda : e >= na) + raises(TypeError, lambda : na >= e) + raises(TypeError, lambda : e <= na) + raises(TypeError, lambda : na <= e) + + +def test_relational(): + from sympy.core.relational import Lt + assert (pi < 3) is S.false + assert (pi <= 3) is S.false + assert (pi > 3) is S.true + assert (pi >= 3) is S.true + assert (-pi < 3) is S.true + assert (-pi <= 3) is S.true + assert (-pi > 3) is S.false + assert (-pi >= 3) is S.false + r = Symbol('r', real=True) + assert (r - 2 < r - 3) is S.false + assert Lt(x + I, x + I + 2).func == Lt # issue 8288 + + +def test_relational_assumptions(): + m1 = Symbol("m1", nonnegative=False) + m2 = Symbol("m2", positive=False) + m3 = Symbol("m3", nonpositive=False) + m4 = Symbol("m4", negative=False) + assert (m1 < 0) == Lt(m1, 0) + assert (m2 <= 0) == Le(m2, 0) + assert (m3 > 0) == Gt(m3, 0) + assert (m4 >= 0) == Ge(m4, 0) + m1 = Symbol("m1", nonnegative=False, real=True) + m2 = Symbol("m2", positive=False, real=True) + m3 = Symbol("m3", nonpositive=False, real=True) + m4 = Symbol("m4", negative=False, real=True) + assert (m1 < 0) is S.true + assert (m2 <= 0) is S.true + assert (m3 > 0) is S.true + assert (m4 >= 0) is S.true + m1 = Symbol("m1", negative=True) + m2 = Symbol("m2", nonpositive=True) + m3 = Symbol("m3", positive=True) + m4 = Symbol("m4", nonnegative=True) + assert (m1 < 0) is S.true + assert (m2 <= 0) is S.true + assert (m3 > 0) is S.true + assert (m4 >= 0) is S.true + m1 = Symbol("m1", negative=False, real=True) + m2 = Symbol("m2", nonpositive=False, real=True) + m3 = Symbol("m3", positive=False, real=True) + m4 = Symbol("m4", nonnegative=False, real=True) + assert (m1 < 0) is S.false + assert (m2 <= 0) is S.false + assert (m3 > 0) is S.false + assert (m4 >= 0) is S.false + + +# See https://github.com/sympy/sympy/issues/17708 +#def test_relational_noncommutative(): +# from sympy import Lt, Gt, Le, Ge +# A, B = symbols('A,B', commutative=False) +# assert (A < B) == Lt(A, B) +# assert (A <= B) == Le(A, B) +# assert (A > B) == Gt(A, B) +# assert (A >= B) == Ge(A, B) + + +def test_basic_nostr(): + for obj in basic_objs: + raises(TypeError, lambda: obj + '1') + raises(TypeError, lambda: obj - '1') + if obj == 2: + assert obj * '1' == '11' + else: + raises(TypeError, lambda: obj * '1') + raises(TypeError, lambda: obj / '1') + raises(TypeError, lambda: obj ** '1') + + +def test_series_expansion_for_uniform_order(): + assert (1/x + y + x).series(x, 0, 0) == 1/x + O(1, x) + assert (1/x + y + x).series(x, 0, 1) == 1/x + y + O(x) + assert (1/x + 1 + x).series(x, 0, 0) == 1/x + O(1, x) + assert (1/x + 1 + x).series(x, 0, 1) == 1/x + 1 + O(x) + assert (1/x + x).series(x, 0, 0) == 1/x + O(1, x) + assert (1/x + y + y*x + x).series(x, 0, 0) == 1/x + O(1, x) + assert (1/x + y + y*x + x).series(x, 0, 1) == 1/x + y + O(x) + + +def test_leadterm(): + assert (3 + 2*x**(log(3)/log(2) - 1)).leadterm(x) == (3, 0) + + assert (1/x**2 + 1 + x + x**2).leadterm(x)[1] == -2 + assert (1/x + 1 + x + x**2).leadterm(x)[1] == -1 + assert (x**2 + 1/x).leadterm(x)[1] == -1 + assert (1 + x**2).leadterm(x)[1] == 0 + assert (x + 1).leadterm(x)[1] == 0 + assert (x + x**2).leadterm(x)[1] == 1 + assert (x**2).leadterm(x)[1] == 2 + + +def test_as_leading_term(): + assert (3 + 2*x**(log(3)/log(2) - 1)).as_leading_term(x) == 3 + assert (1/x**2 + 1 + x + x**2).as_leading_term(x) == 1/x**2 + assert (1/x + 1 + x + x**2).as_leading_term(x) == 1/x + assert (x**2 + 1/x).as_leading_term(x) == 1/x + assert (1 + x**2).as_leading_term(x) == 1 + assert (x + 1).as_leading_term(x) == 1 + assert (x + x**2).as_leading_term(x) == x + assert (x**2).as_leading_term(x) == x**2 + assert (x + oo).as_leading_term(x) is oo + + raises(ValueError, lambda: (x + 1).as_leading_term(1)) + + # https://github.com/sympy/sympy/issues/21177 + e = -3*x + (x + Rational(3, 2) - sqrt(3)*S.ImaginaryUnit/2)**2\ + - Rational(3, 2) + 3*sqrt(3)*S.ImaginaryUnit/2 + assert e.as_leading_term(x) == -sqrt(3)*I*x + + # https://github.com/sympy/sympy/issues/21245 + e = 1 - x - x**2 + d = (1 + sqrt(5))/2 + assert e.subs(x, y + 1/d).as_leading_term(y) == \ + (-40*y - 16*sqrt(5)*y)/(16 + 8*sqrt(5)) + + # https://github.com/sympy/sympy/issues/26991 + assert sinh(tanh(3/(100*x))).as_leading_term(x, cdir = 1) == sinh(1) + + +def test_leadterm2(): + assert (x*cos(1)*cos(1 + sin(1)) + sin(1 + sin(1))).leadterm(x) == \ + (sin(1 + sin(1)), 0) + + +def test_leadterm3(): + assert (y + z + x).leadterm(x) == (y + z, 0) + + +def test_as_leading_term2(): + assert (x*cos(1)*cos(1 + sin(1)) + sin(1 + sin(1))).as_leading_term(x) == \ + sin(1 + sin(1)) + + +def test_as_leading_term3(): + assert (2 + pi + x).as_leading_term(x) == 2 + pi + assert (2*x + pi*x + x**2).as_leading_term(x) == 2*x + pi*x + + +def test_as_leading_term4(): + # see issue 6843 + n = Symbol('n', integer=True, positive=True) + r = -n**3/(2*n**2 + 4*n + 2) - n**2/(n**2 + 2*n + 1) + \ + n**2/(n + 1) - n/(2*n**2 + 4*n + 2) + n/(n*x + x) + 2*n/(n + 1) - \ + 1 + 1/(n*x + x) + 1/(n + 1) - 1/x + assert r.as_leading_term(x).cancel() == n/2 + + +def test_as_leading_term_stub(): + class foo(Function): + pass + assert foo(1/x).as_leading_term(x) == foo(1/x) + assert foo(1).as_leading_term(x) == foo(1) + raises(NotImplementedError, lambda: foo(x).as_leading_term(x)) + + +def test_as_leading_term_deriv_integral(): + # related to issue 11313 + assert Derivative(x ** 3, x).as_leading_term(x) == 3*x**2 + assert Derivative(x ** 3, y).as_leading_term(x) == 0 + + assert Integral(x ** 3, x).as_leading_term(x) == x**4/4 + assert Integral(x ** 3, y).as_leading_term(x) == y*x**3 + + assert Derivative(exp(x), x).as_leading_term(x) == 1 + assert Derivative(log(x), x).as_leading_term(x) == (1/x).as_leading_term(x) + + +def test_atoms(): + assert x.atoms() == {x} + assert (1 + x).atoms() == {x, S.One} + + assert (1 + 2*cos(x)).atoms(Symbol) == {x} + assert (1 + 2*cos(x)).atoms(Symbol, Number) == {S.One, S(2), x} + + assert (2*(x**(y**x))).atoms() == {S(2), x, y} + + assert S.Half.atoms() == {S.Half} + assert S.Half.atoms(Symbol) == set() + + assert sin(oo).atoms(oo) == set() + + assert Poly(0, x).atoms() == {S.Zero, x} + assert Poly(1, x).atoms() == {S.One, x} + + assert Poly(x, x).atoms() == {x} + assert Poly(x, x, y).atoms() == {x, y} + assert Poly(x + y, x, y).atoms() == {x, y} + assert Poly(x + y, x, y, z).atoms() == {x, y, z} + assert Poly(x + y*t, x, y, z).atoms() == {t, x, y, z} + + assert (I*pi).atoms(NumberSymbol) == {pi} + assert (I*pi).atoms(NumberSymbol, I) == \ + (I*pi).atoms(I, NumberSymbol) == {pi, I} + + assert exp(exp(x)).atoms(exp) == {exp(exp(x)), exp(x)} + assert (1 + x*(2 + y) + exp(3 + z)).atoms(Add) == \ + {1 + x*(2 + y) + exp(3 + z), 2 + y, 3 + z} + + # issue 6132 + e = (f(x) + sin(x) + 2) + assert e.atoms(AppliedUndef) == \ + {f(x)} + assert e.atoms(AppliedUndef, Function) == \ + {f(x), sin(x)} + assert e.atoms(Function) == \ + {f(x), sin(x)} + assert e.atoms(AppliedUndef, Number) == \ + {f(x), S(2)} + assert e.atoms(Function, Number) == \ + {S(2), sin(x), f(x)} + + +def test_is_polynomial(): + k = Symbol('k', nonnegative=True, integer=True) + + assert Rational(2).is_polynomial(x, y, z) is True + assert (S.Pi).is_polynomial(x, y, z) is True + + assert x.is_polynomial(x) is True + assert x.is_polynomial(y) is True + + assert (x**2).is_polynomial(x) is True + assert (x**2).is_polynomial(y) is True + + assert (x**(-2)).is_polynomial(x) is False + assert (x**(-2)).is_polynomial(y) is True + + assert (2**x).is_polynomial(x) is False + assert (2**x).is_polynomial(y) is True + + assert (x**k).is_polynomial(x) is False + assert (x**k).is_polynomial(k) is False + assert (x**x).is_polynomial(x) is False + assert (k**k).is_polynomial(k) is False + assert (k**x).is_polynomial(k) is False + + assert (x**(-k)).is_polynomial(x) is False + assert ((2*x)**k).is_polynomial(x) is False + + assert (x**2 + 3*x - 8).is_polynomial(x) is True + assert (x**2 + 3*x - 8).is_polynomial(y) is True + + assert (x**2 + 3*x - 8).is_polynomial() is True + + assert sqrt(x).is_polynomial(x) is False + assert (sqrt(x)**3).is_polynomial(x) is False + + assert (x**2 + 3*x*sqrt(y) - 8).is_polynomial(x) is True + assert (x**2 + 3*x*sqrt(y) - 8).is_polynomial(y) is False + + assert ((x**2)*(y**2) + x*(y**2) + y*x + exp(2)).is_polynomial() is True + assert ((x**2)*(y**2) + x*(y**2) + y*x + exp(x)).is_polynomial() is False + + assert ( + (x**2)*(y**2) + x*(y**2) + y*x + exp(2)).is_polynomial(x, y) is True + assert ( + (x**2)*(y**2) + x*(y**2) + y*x + exp(x)).is_polynomial(x, y) is False + + assert (1/f(x) + 1).is_polynomial(f(x)) is False + + +def test_is_rational_function(): + assert Integer(1).is_rational_function() is True + assert Integer(1).is_rational_function(x) is True + + assert Rational(17, 54).is_rational_function() is True + assert Rational(17, 54).is_rational_function(x) is True + + assert (12/x).is_rational_function() is True + assert (12/x).is_rational_function(x) is True + + assert (x/y).is_rational_function() is True + assert (x/y).is_rational_function(x) is True + assert (x/y).is_rational_function(x, y) is True + + assert (x**2 + 1/x/y).is_rational_function() is True + assert (x**2 + 1/x/y).is_rational_function(x) is True + assert (x**2 + 1/x/y).is_rational_function(x, y) is True + + assert (sin(y)/x).is_rational_function() is False + assert (sin(y)/x).is_rational_function(y) is False + assert (sin(y)/x).is_rational_function(x) is True + assert (sin(y)/x).is_rational_function(x, y) is False + + for i in _illegal: + assert not i.is_rational_function() + for d in (1, x): + assert not (i/d).is_rational_function() + + +def test_is_meromorphic(): + f = a/x**2 + b + x + c*x**2 + assert f.is_meromorphic(x, 0) is True + assert f.is_meromorphic(x, 1) is True + assert f.is_meromorphic(x, zoo) is True + + g = 3 + 2*x**(log(3)/log(2) - 1) + assert g.is_meromorphic(x, 0) is False + assert g.is_meromorphic(x, 1) is True + assert g.is_meromorphic(x, zoo) is False + + n = Symbol('n', integer=True) + e = sin(1/x)**n*x + assert e.is_meromorphic(x, 0) is False + assert e.is_meromorphic(x, 1) is True + assert e.is_meromorphic(x, zoo) is False + + e = log(x)**pi + assert e.is_meromorphic(x, 0) is False + assert e.is_meromorphic(x, 1) is False + assert e.is_meromorphic(x, 2) is True + assert e.is_meromorphic(x, zoo) is False + + assert (log(x)**a).is_meromorphic(x, 0) is False + assert (log(x)**a).is_meromorphic(x, 1) is False + assert (a**log(x)).is_meromorphic(x, 0) is None + assert (3**log(x)).is_meromorphic(x, 0) is False + assert (3**log(x)).is_meromorphic(x, 1) is True + +def test_is_algebraic_expr(): + assert sqrt(3).is_algebraic_expr(x) is True + assert sqrt(3).is_algebraic_expr() is True + + eq = ((1 + x**2)/(1 - y**2))**(S.One/3) + assert eq.is_algebraic_expr(x) is True + assert eq.is_algebraic_expr(y) is True + + assert (sqrt(x) + y**(S(2)/3)).is_algebraic_expr(x) is True + assert (sqrt(x) + y**(S(2)/3)).is_algebraic_expr(y) is True + assert (sqrt(x) + y**(S(2)/3)).is_algebraic_expr() is True + + assert (cos(y)/sqrt(x)).is_algebraic_expr() is False + assert (cos(y)/sqrt(x)).is_algebraic_expr(x) is True + assert (cos(y)/sqrt(x)).is_algebraic_expr(y) is False + assert (cos(y)/sqrt(x)).is_algebraic_expr(x, y) is False + + +def test_SAGE1(): + #see https://github.com/sympy/sympy/issues/3346 + class MyInt: + def _sympy_(self): + return Integer(5) + m = MyInt() + e = Rational(2)*m + assert e == 10 + + raises(TypeError, lambda: Rational(2)*MyInt) + + +def test_SAGE2(): + class MyInt: + def __int__(self): + return 5 + assert sympify(MyInt()) == 5 + e = Rational(2)*MyInt() + assert e == 10 + + raises(TypeError, lambda: Rational(2)*MyInt) + + +def test_SAGE3(): + class MySymbol: + def __rmul__(self, other): + return ('mys', other, self) + + o = MySymbol() + e = x*o + + assert e == ('mys', x, o) + + +def test_len(): + e = x*y + assert len(e.args) == 2 + e = x + y + z + assert len(e.args) == 3 + + +def test_doit(): + a = Integral(x**2, x) + + assert isinstance(a.doit(), Integral) is False + + assert isinstance(a.doit(integrals=True), Integral) is False + assert isinstance(a.doit(integrals=False), Integral) is True + + assert (2*Integral(x, x)).doit() == x**2 + + +def test_attribute_error(): + raises(AttributeError, lambda: x.cos()) + raises(AttributeError, lambda: x.sin()) + raises(AttributeError, lambda: x.exp()) + + +def test_args(): + assert (x*y).args in ((x, y), (y, x)) + assert (x + y).args in ((x, y), (y, x)) + assert (x*y + 1).args in ((x*y, 1), (1, x*y)) + assert sin(x*y).args == (x*y,) + assert sin(x*y).args[0] == x*y + assert (x**y).args == (x, y) + assert (x**y).args[0] == x + assert (x**y).args[1] == y + + +def test_noncommutative_expand_issue_3757(): + A, B, C = symbols('A,B,C', commutative=False) + assert A*B - B*A != 0 + assert (A*(A + B)*B).expand() == A**2*B + A*B**2 + assert (A*(A + B + C)*B).expand() == A**2*B + A*B**2 + A*C*B + + +def test_as_numer_denom(): + a, b, c = symbols('a, b, c') + + assert nan.as_numer_denom() == (nan, 1) + assert oo.as_numer_denom() == (oo, 1) + assert (-oo).as_numer_denom() == (-oo, 1) + assert zoo.as_numer_denom() == (zoo, 1) + assert (-zoo).as_numer_denom() == (zoo, 1) + + assert x.as_numer_denom() == (x, 1) + assert (1/x).as_numer_denom() == (1, x) + assert (x/y).as_numer_denom() == (x, y) + assert (x/2).as_numer_denom() == (x, 2) + assert (x*y/z).as_numer_denom() == (x*y, z) + assert (x/(y*z)).as_numer_denom() == (x, y*z) + assert S.Half.as_numer_denom() == (1, 2) + assert (1/y**2).as_numer_denom() == (1, y**2) + assert (x/y**2).as_numer_denom() == (x, y**2) + assert ((x**2 + 1)/y).as_numer_denom() == (x**2 + 1, y) + assert (x*(y + 1)/y**7).as_numer_denom() == (x*(y + 1), y**7) + assert (x**-2).as_numer_denom() == (1, x**2) + assert (a/x + b/2/x + c/3/x).as_numer_denom() == \ + (6*a + 3*b + 2*c, 6*x) + assert (a/x + b/2/x + c/3/y).as_numer_denom() == \ + (2*c*x + y*(6*a + 3*b), 6*x*y) + assert (a/x + b/2/x + c/.5/x).as_numer_denom() == \ + (2*a + b + 4.0*c, 2*x) + # this should take no more than a few seconds + assert int(log(Add(*[Dummy()/i/x for i in range(1, 705)] + ).as_numer_denom()[1]/x).n(4)) == 705 + for i in [S.Infinity, S.NegativeInfinity, S.ComplexInfinity]: + assert (i + x/3).as_numer_denom() == \ + (x + i, 3) + assert (S.Infinity + x/3 + y/4).as_numer_denom() == \ + (4*x + 3*y + S.Infinity, 12) + assert (oo*x + zoo*y).as_numer_denom() == \ + (zoo*y + oo*x, 1) + + A, B, C = symbols('A,B,C', commutative=False) + + assert (A*B*C**-1).as_numer_denom() == (A*B*C**-1, 1) + assert (A*B*C**-1/x).as_numer_denom() == (A*B*C**-1, x) + assert (C**-1*A*B).as_numer_denom() == (C**-1*A*B, 1) + assert (C**-1*A*B/x).as_numer_denom() == (C**-1*A*B, x) + assert ((A*B*C)**-1).as_numer_denom() == ((A*B*C)**-1, 1) + assert ((A*B*C)**-1/x).as_numer_denom() == ((A*B*C)**-1, x) + + # the following morphs from Add to Mul during processing + assert Add(0, (x + y)/z/-2, evaluate=False).as_numer_denom( + ) == (-x - y, 2*z) + + +def test_trunc(): + import math + x, y = symbols('x y') + assert math.trunc(2) == 2 + assert math.trunc(4.57) == 4 + assert math.trunc(-5.79) == -5 + assert math.trunc(pi) == 3 + assert math.trunc(log(7)) == 1 + assert math.trunc(exp(5)) == 148 + assert math.trunc(cos(pi)) == -1 + assert math.trunc(sin(5)) == 0 + + raises(TypeError, lambda: math.trunc(x)) + raises(TypeError, lambda: math.trunc(x + y**2)) + raises(TypeError, lambda: math.trunc(oo)) + + +def test_as_independent(): + assert S.Zero.as_independent(x, as_Add=True) == (0, 0) + assert S.Zero.as_independent(x, as_Add=False) == (0, 0) + assert (2*x*sin(x) + y + x).as_independent(x) == (y, x + 2*x*sin(x)) + assert (2*x*sin(x) + y + x).as_independent(y) == (x + 2*x*sin(x), y) + + assert (2*x*sin(x) + y + x).as_independent(x, y) == (0, y + x + 2*x*sin(x)) + + assert (x*sin(x)*cos(y)).as_independent(x) == (cos(y), x*sin(x)) + assert (x*sin(x)*cos(y)).as_independent(y) == (x*sin(x), cos(y)) + + assert (x*sin(x)*cos(y)).as_independent(x, y) == (1, x*sin(x)*cos(y)) + + assert (sin(x)).as_independent(x) == (1, sin(x)) + assert (sin(x)).as_independent(y) == (sin(x), 1) + + assert (2*sin(x)).as_independent(x) == (2, sin(x)) + assert (2*sin(x)).as_independent(y) == (2*sin(x), 1) + + # issue 4903 = 1766b + n1, n2, n3 = symbols('n1 n2 n3', commutative=False) + assert (n1 + n1*n2).as_independent(n2) == (n1, n1*n2) + assert (n2*n1 + n1*n2).as_independent(n2) == (0, n1*n2 + n2*n1) + assert (n1*n2*n1).as_independent(n2) == (n1, n2*n1) + assert (n1*n2*n1).as_independent(n1) == (1, n1*n2*n1) + + assert (3*x).as_independent(x, as_Add=True) == (0, 3*x) + assert (3*x).as_independent(x, as_Add=False) == (3, x) + assert (3 + x).as_independent(x, as_Add=True) == (3, x) + assert (3 + x).as_independent(x, as_Add=False) == (1, 3 + x) + + # issue 5479 + assert (3*x).as_independent(Symbol) == (3, x) + + # issue 5648 + assert (n1*x*y).as_independent(x) == (n1*y, x) + assert ((x + n1)*(x - y)).as_independent(x) == (1, (x + n1)*(x - y)) + assert ((x + n1)*(x - y)).as_independent(y) == (x + n1, x - y) + assert (DiracDelta(x - n1)*DiracDelta(x - y)).as_independent(x) \ + == (1, DiracDelta(x - n1)*DiracDelta(x - y)) + assert (x*y*n1*n2*n3).as_independent(n2) == (x*y*n1, n2*n3) + assert (x*y*n1*n2*n3).as_independent(n1) == (x*y, n1*n2*n3) + assert (x*y*n1*n2*n3).as_independent(n3) == (x*y*n1*n2, n3) + assert (DiracDelta(x - n1)*DiracDelta(y - n1)*DiracDelta(x - n2)).as_independent(y) == \ + (DiracDelta(x - n1)*DiracDelta(x - n2), DiracDelta(y - n1)) + + # issue 5784 + assert (x + Integral(x, (x, 1, 2))).as_independent(x, strict=True) == \ + (Integral(x, (x, 1, 2)), x) + + eq = Add(x, -x, 2, -3, evaluate=False) + assert eq.as_independent(x) == (-1, Add(x, -x, evaluate=False)) + eq = Mul(x, 1/x, 2, -3, evaluate=False) + assert eq.as_independent(x) == (-6, Mul(x, 1/x, evaluate=False)) + + assert (x*y).as_independent(z, as_Add=True) == (x*y, 0) + +@XFAIL +def test_call_2(): + # TODO UndefinedFunction does not subclass Expr + assert (2*f)(x) == 2*f(x) + + +def test_replace(): + e = log(sin(x)) + tan(sin(x**2)) + + assert e.replace(sin, cos) == log(cos(x)) + tan(cos(x**2)) + assert e.replace( + sin, lambda a: sin(2*a)) == log(sin(2*x)) + tan(sin(2*x**2)) + + a = Wild('a') + b = Wild('b') + + assert e.replace(sin(a), cos(a)) == log(cos(x)) + tan(cos(x**2)) + assert e.replace( + sin(a), lambda a: sin(2*a)) == log(sin(2*x)) + tan(sin(2*x**2)) + # test exact + assert (2*x).replace(a*x + b, b - a, exact=True) == 2*x + assert (2*x).replace(a*x + b, b - a) == 2*x + assert (2*x).replace(a*x + b, b - a, exact=False) == 2/x + assert (2*x).replace(a*x + b, lambda a, b: b - a, exact=True) == 2*x + assert (2*x).replace(a*x + b, lambda a, b: b - a) == 2*x + assert (2*x).replace(a*x + b, lambda a, b: b - a, exact=False) == 2/x + + g = 2*sin(x**3) + + assert g.replace( + lambda expr: expr.is_Number, lambda expr: expr**2) == 4*sin(x**9) + + assert cos(x).replace(cos, sin, map=True) == (sin(x), {cos(x): sin(x)}) + assert sin(x).replace(cos, sin) == sin(x) + + cond, func = lambda x: x.is_Mul, lambda x: 2*x + assert (x*y).replace(cond, func, map=True) == (2*x*y, {x*y: 2*x*y}) + assert (x*(1 + x*y)).replace(cond, func, map=True) == \ + (2*x*(2*x*y + 1), {x*(2*x*y + 1): 2*x*(2*x*y + 1), x*y: 2*x*y}) + assert (y*sin(x)).replace(sin, lambda expr: sin(expr)/y, map=True) == \ + (sin(x), {sin(x): sin(x)/y}) + # if not simultaneous then y*sin(x) -> y*sin(x)/y = sin(x) -> sin(x)/y + assert (y*sin(x)).replace(sin, lambda expr: sin(expr)/y, + simultaneous=False) == sin(x)/y + assert (x**2 + O(x**3)).replace(Pow, lambda b, e: b**e/e + ) == x**2/2 + O(x**3) + assert (x**2 + O(x**3)).replace(Pow, lambda b, e: b**e/e, + simultaneous=False) == x**2/2 + O(x**3) + assert (x*(x*y + 3)).replace(lambda x: x.is_Mul, lambda x: 2 + x) == \ + x*(x*y + 5) + 2 + e = (x*y + 1)*(2*x*y + 1) + 1 + assert e.replace(cond, func, map=True) == ( + 2*((2*x*y + 1)*(4*x*y + 1)) + 1, + {2*x*y: 4*x*y, x*y: 2*x*y, (2*x*y + 1)*(4*x*y + 1): + 2*((2*x*y + 1)*(4*x*y + 1))}) + assert x.replace(x, y) == y + assert (x + 1).replace(1, 2) == x + 2 + + # https://groups.google.com/forum/#!topic/sympy/8wCgeC95tz0 + n1, n2, n3 = symbols('n1:4', commutative=False) + assert (n1*f(n2)).replace(f, lambda x: x) == n1*n2 + assert (n3*f(n2)).replace(f, lambda x: x) == n3*n2 + + # issue 16725 + assert S.Zero.replace(Wild('x'), 1) == 1 + # let the user override the default decision of False + assert S.Zero.replace(Wild('x'), 1, exact=True) == 0 + + +def test_replace_integral(): + # https://github.com/sympy/sympy/issues/27142 + q, p, s, t = symbols('q p s t', cls=Wild) + a, b, c, d = symbols('a b c d') + i = Integral(a + b, (b, c, d)) + pattern = Integral(q, (p, s, t)) + assert i.replace(pattern, q) == a + b + + +def test_find(): + expr = (x + y + 2 + sin(3*x)) + + assert expr.find(lambda u: u.is_Integer) == {S(2), S(3)} + assert expr.find(lambda u: u.is_Symbol) == {x, y} + + assert expr.find(lambda u: u.is_Integer, group=True) == {S(2): 1, S(3): 1} + assert expr.find(lambda u: u.is_Symbol, group=True) == {x: 2, y: 1} + + assert expr.find(Integer) == {S(2), S(3)} + assert expr.find(Symbol) == {x, y} + + assert expr.find(Integer, group=True) == {S(2): 1, S(3): 1} + assert expr.find(Symbol, group=True) == {x: 2, y: 1} + + a = Wild('a') + + expr = sin(sin(x)) + sin(x) + cos(x) + x + + assert expr.find(lambda u: type(u) is sin) == {sin(x), sin(sin(x))} + assert expr.find( + lambda u: type(u) is sin, group=True) == {sin(x): 2, sin(sin(x)): 1} + + assert expr.find(sin(a)) == {sin(x), sin(sin(x))} + assert expr.find(sin(a), group=True) == {sin(x): 2, sin(sin(x)): 1} + + assert expr.find(sin) == {sin(x), sin(sin(x))} + assert expr.find(sin, group=True) == {sin(x): 2, sin(sin(x)): 1} + + +def test_count(): + expr = (x + y + 2 + sin(3*x)) + + assert expr.count(lambda u: u.is_Integer) == 2 + assert expr.count(lambda u: u.is_Symbol) == 3 + + assert expr.count(Integer) == 2 + assert expr.count(Symbol) == 3 + assert expr.count(2) == 1 + + a = Wild('a') + + assert expr.count(sin) == 1 + assert expr.count(sin(a)) == 1 + assert expr.count(lambda u: type(u) is sin) == 1 + + assert f(x).count(f(x)) == 1 + assert f(x).diff(x).count(f(x)) == 1 + assert f(x).diff(x).count(x) == 2 + + +def test_has_basics(): + p = Wild('p') + + assert sin(x).has(x) + assert sin(x).has(sin) + assert not sin(x).has(y) + assert not sin(x).has(cos) + assert f(x).has(x) + assert f(x).has(f) + assert not f(x).has(y) + assert not f(x).has(g) + + assert f(x).diff(x).has(x) + assert f(x).diff(x).has(f) + assert f(x).diff(x).has(Derivative) + assert not f(x).diff(x).has(y) + assert not f(x).diff(x).has(g) + assert not f(x).diff(x).has(sin) + + assert (x**2).has(Symbol) + assert not (x**2).has(Wild) + assert (2*p).has(Wild) + + assert not x.has() + + # see issue at https://github.com/sympy/sympy/issues/5190 + assert not S(1).has(Wild) + assert not x.has(Wild) + + +def test_has_multiple(): + f = x**2*y + sin(2**t + log(z)) + + assert f.has(x) + assert f.has(y) + assert f.has(z) + assert f.has(t) + + assert not f.has(u) + + assert f.has(x, y, z, t) + assert f.has(x, y, z, t, u) + + i = Integer(4400) + + assert not i.has(x) + + assert (i*x**i).has(x) + assert not (i*y**i).has(x) + assert (i*y**i).has(x, y) + assert not (i*y**i).has(x, z) + + +def test_has_piecewise(): + f = (x*y + 3/y)**(3 + 2) + p = Piecewise((g(x), x < -1), (1, x <= 1), (f, True)) + + assert p.has(x) + assert p.has(y) + assert not p.has(z) + assert p.has(1) + assert p.has(3) + assert not p.has(4) + assert p.has(f) + assert p.has(g) + assert not p.has(h) + + +def test_has_iterative(): + A, B, C = symbols('A,B,C', commutative=False) + f = x*gamma(x)*sin(x)*exp(x*y)*A*B*C*cos(x*A*B) + + assert f.has(x) + assert f.has(x*y) + assert f.has(x*sin(x)) + assert not f.has(x*sin(y)) + assert f.has(x*A) + assert f.has(x*A*B) + assert not f.has(x*A*C) + assert f.has(x*A*B*C) + assert not f.has(x*A*C*B) + assert f.has(x*sin(x)*A*B*C) + assert not f.has(x*sin(x)*A*C*B) + assert not f.has(x*sin(y)*A*B*C) + assert f.has(x*gamma(x)) + assert not f.has(x + sin(x)) + + assert (x & y & z).has(x & z) + + +def test_has_integrals(): + f = Integral(x**2 + sin(x*y*z), (x, 0, x + y + z)) + + assert f.has(x + y) + assert f.has(x + z) + assert f.has(y + z) + + assert f.has(x*y) + assert f.has(x*z) + assert f.has(y*z) + + assert not f.has(2*x + y) + assert not f.has(2*x*y) + + +def test_has_tuple(): + assert Tuple(x, y).has(x) + assert not Tuple(x, y).has(z) + assert Tuple(f(x), g(x)).has(x) + assert not Tuple(f(x), g(x)).has(y) + assert Tuple(f(x), g(x)).has(f) + assert Tuple(f(x), g(x)).has(f(x)) + # XXX to be deprecated + #assert not Tuple(f, g).has(x) + #assert Tuple(f, g).has(f) + #assert not Tuple(f, g).has(h) + assert Tuple(True).has(True) + assert Tuple(True).has(S.true) + assert not Tuple(True).has(1) + + +def test_has_units(): + from sympy.physics.units import m, s + + assert (x*m/s).has(x) + assert (x*m/s).has(y, z) is False + + +def test_has_polys(): + poly = Poly(x**2 + x*y*sin(z), x, y, t) + + assert poly.has(x) + assert poly.has(x, y, z) + assert poly.has(x, y, z, t) + + +def test_has_physics(): + assert FockState((x, y)).has(x) + + +def test_as_poly_as_expr(): + f = x**2 + 2*x*y + + assert f.as_poly().as_expr() == f + assert f.as_poly(x, y).as_expr() == f + + assert (f + sin(x)).as_poly(x, y) is None + + p = Poly(f, x, y) + + assert p.as_poly() == p + + # https://github.com/sympy/sympy/issues/20610 + assert S(2).as_poly() is None + assert sqrt(2).as_poly(extension=True) is None + + raises(AttributeError, lambda: Tuple(x, x).as_poly(x)) + raises(AttributeError, lambda: Tuple(x ** 2, x, y).as_poly(x)) + + +def test_nonzero(): + assert bool(S.Zero) is False + assert bool(S.One) is True + assert bool(x) is True + assert bool(x + y) is True + assert bool(x - x) is False + assert bool(x*y) is True + assert bool(x*1) is True + assert bool(x*0) is False + + +def test_is_number(): + assert Float(3.14).is_number is True + assert Integer(737).is_number is True + assert Rational(3, 2).is_number is True + assert Rational(8).is_number is True + assert x.is_number is False + assert (2*x).is_number is False + assert (x + y).is_number is False + assert log(2).is_number is True + assert log(x).is_number is False + assert (2 + log(2)).is_number is True + assert (8 + log(2)).is_number is True + assert (2 + log(x)).is_number is False + assert (8 + log(2) + x).is_number is False + assert (1 + x**2/x - x).is_number is True + assert Tuple(Integer(1)).is_number is False + assert Add(2, x).is_number is False + assert Mul(3, 4).is_number is True + assert Pow(log(2), 2).is_number is True + assert oo.is_number is True + g = WildFunction('g') + assert g.is_number is False + assert (2*g).is_number is False + assert (x**2).subs(x, 3).is_number is True + + # test extensibility of .is_number + # on subinstances of Basic + class A(Basic): + pass + a = A() + assert a.is_number is False + + +def test_as_coeff_add(): + assert S(2).as_coeff_add() == (2, ()) + assert S(3.0).as_coeff_add() == (0, (S(3.0),)) + assert S(-3.0).as_coeff_add() == (0, (S(-3.0),)) + assert x.as_coeff_add() == (0, (x,)) + assert (x - 1).as_coeff_add() == (-1, (x,)) + assert (x + 1).as_coeff_add() == (1, (x,)) + assert (x + 2).as_coeff_add() == (2, (x,)) + assert (x + y).as_coeff_add(y) == (x, (y,)) + assert (3*x).as_coeff_add(y) == (3*x, ()) + # don't do expansion + e = (x + y)**2 + assert e.as_coeff_add(y) == (0, (e,)) + + +def test_as_coeff_mul(): + assert S(2).as_coeff_mul() == (2, ()) + assert S(3.0).as_coeff_mul() == (1, (S(3.0),)) + assert S(-3.0).as_coeff_mul() == (-1, (S(3.0),)) + assert S(-3.0).as_coeff_mul(rational=False) == (-S(3.0), ()) + assert x.as_coeff_mul() == (1, (x,)) + assert (-x).as_coeff_mul() == (-1, (x,)) + assert (2*x).as_coeff_mul() == (2, (x,)) + assert (x*y).as_coeff_mul(y) == (x, (y,)) + assert (3 + x).as_coeff_mul() == (1, (3 + x,)) + assert (3 + x).as_coeff_mul(y) == (3 + x, ()) + # don't do expansion + e = exp(x + y) + assert e.as_coeff_mul(y) == (1, (e,)) + e = 2**(x + y) + assert e.as_coeff_mul(y) == (1, (e,)) + assert (1.1*x).as_coeff_mul(rational=False) == (1.1, (x,)) + assert (1.1*x).as_coeff_mul() == (1, (1.1, x)) + assert (-oo*x).as_coeff_mul(rational=True) == (-1, (oo, x)) + + +def test_as_coeff_exponent(): + assert (3*x**4).as_coeff_exponent(x) == (3, 4) + assert (2*x**3).as_coeff_exponent(x) == (2, 3) + assert (4*x**2).as_coeff_exponent(x) == (4, 2) + assert (6*x**1).as_coeff_exponent(x) == (6, 1) + assert (3*x**0).as_coeff_exponent(x) == (3, 0) + assert (2*x**0).as_coeff_exponent(x) == (2, 0) + assert (1*x**0).as_coeff_exponent(x) == (1, 0) + assert (0*x**0).as_coeff_exponent(x) == (0, 0) + assert (-1*x**0).as_coeff_exponent(x) == (-1, 0) + assert (-2*x**0).as_coeff_exponent(x) == (-2, 0) + assert (2*x**3 + pi*x**3).as_coeff_exponent(x) == (2 + pi, 3) + assert (x*log(2)/(2*x + pi*x)).as_coeff_exponent(x) == \ + (log(2)/(2 + pi), 0) + # issue 4784 + D = Derivative + fx = D(f(x), x) + assert fx.as_coeff_exponent(f(x)) == (fx, 0) + + +def test_extractions(): + for base in (2, S.Exp1): + assert Pow(base**x, 3, evaluate=False + ).extract_multiplicatively(base**x) == base**(2*x) + assert (base**(5*x)).extract_multiplicatively( + base**(3*x)) == base**(2*x) + assert ((x*y)**3).extract_multiplicatively(x**2 * y) == x*y**2 + assert ((x*y)**3).extract_multiplicatively(x**4 * y) is None + assert (2*x).extract_multiplicatively(2) == x + assert (2*x).extract_multiplicatively(3) is None + assert (2*x).extract_multiplicatively(-1) is None + assert (S.Half*x).extract_multiplicatively(3) == x/6 + assert (sqrt(x)).extract_multiplicatively(x) is None + assert (sqrt(x)).extract_multiplicatively(1/x) is None + assert x.extract_multiplicatively(-x) is None + assert (-2 - 4*I).extract_multiplicatively(-2) == 1 + 2*I + assert (-2 - 4*I).extract_multiplicatively(3) is None + assert (-2*x - 4*y - 8).extract_multiplicatively(-2) == x + 2*y + 4 + assert (-2*x*y - 4*x**2*y).extract_multiplicatively(-2*y) == 2*x**2 + x + assert (2*x*y + 4*x**2*y).extract_multiplicatively(2*y) == 2*x**2 + x + assert (-4*y**2*x).extract_multiplicatively(-3*y) is None + assert (2*x).extract_multiplicatively(1) == 2*x + assert (-oo).extract_multiplicatively(5) is -oo + assert (oo).extract_multiplicatively(5) is oo + + assert ((x*y)**3).extract_additively(1) is None + assert (x + 1).extract_additively(x) == 1 + assert (x + 1).extract_additively(2*x) is None + assert (x + 1).extract_additively(-x) is None + assert (-x + 1).extract_additively(2*x) is None + assert (2*x + 3).extract_additively(x) == x + 3 + assert (2*x + 3).extract_additively(2) == 2*x + 1 + assert (2*x + 3).extract_additively(3) == 2*x + assert (2*x + 3).extract_additively(-2) is None + assert (2*x + 3).extract_additively(3*x) is None + assert (2*x + 3).extract_additively(2*x) == 3 + assert x.extract_additively(0) == x + assert S(2).extract_additively(x) is None + assert S(2.).extract_additively(2.) is S.Zero + assert S(2.).extract_additively(2) is S.Zero + assert S(2*x + 3).extract_additively(x + 1) == x + 2 + assert S(2*x + 3).extract_additively(y + 1) is None + assert S(2*x - 3).extract_additively(x + 1) is None + assert S(2*x - 3).extract_additively(y + z) is None + assert ((a + 1)*x*4 + y).extract_additively(x).expand() == \ + 4*a*x + 3*x + y + assert ((a + 1)*x*4 + 3*y).extract_additively(x + 2*y).expand() == \ + 4*a*x + 3*x + y + assert (y*(x + 1)).extract_additively(x + 1) is None + assert ((y + 1)*(x + 1) + 3).extract_additively(x + 1) == \ + y*(x + 1) + 3 + assert ((x + y)*(x + 1) + x + y + 3).extract_additively(x + y) == \ + x*(x + y) + 3 + assert (x + y + 2*((x + y)*(x + 1)) + 3).extract_additively((x + y)*(x + 1)) == \ + x + y + (x + 1)*(x + y) + 3 + assert ((y + 1)*(x + 2*y + 1) + 3).extract_additively(y + 1) == \ + (x + 2*y)*(y + 1) + 3 + assert (-x - x*I).extract_additively(-x) == -I*x + # extraction does not leave artificats, now + assert (4*x*(y + 1) + y).extract_additively(x) == x*(4*y + 3) + y + + n = Symbol("n", integer=True) + assert (Integer(-3)).could_extract_minus_sign() is True + assert (-n*x + x).could_extract_minus_sign() != \ + (n*x - x).could_extract_minus_sign() + assert (x - y).could_extract_minus_sign() != \ + (-x + y).could_extract_minus_sign() + assert (1 - x - y).could_extract_minus_sign() is True + assert (1 - x + y).could_extract_minus_sign() is False + assert ((-x - x*y)/y).could_extract_minus_sign() is False + assert ((x + x*y)/(-y)).could_extract_minus_sign() is True + assert ((x + x*y)/y).could_extract_minus_sign() is False + assert ((-x - y)/(x + y)).could_extract_minus_sign() is False + + class sign_invariant(Function, Expr): + nargs = 1 + def __neg__(self): + return self + foo = sign_invariant(x) + assert foo == -foo + assert foo.could_extract_minus_sign() is False + assert (x - y).could_extract_minus_sign() is False + assert (-x + y).could_extract_minus_sign() is True + assert (x - 1).could_extract_minus_sign() is False + assert (1 - x).could_extract_minus_sign() is True + assert (sqrt(2) - 1).could_extract_minus_sign() is True + assert (1 - sqrt(2)).could_extract_minus_sign() is False + # check that result is canonical + eq = (3*x + 15*y).extract_multiplicatively(3) + assert eq.args == eq.func(*eq.args).args + + +def test_nan_extractions(): + for r in (1, 0, I, nan): + assert nan.extract_additively(r) is None + assert nan.extract_multiplicatively(r) is None + + +def test_coeff(): + assert (x + 1).coeff(x + 1) == 1 + assert (3*x).coeff(0) == 0 + assert (z*(1 + x)*x**2).coeff(1 + x) == z*x**2 + assert (1 + 2*x*x**(1 + x)).coeff(x*x**(1 + x)) == 2 + assert (1 + 2*x**(y + z)).coeff(x**(y + z)) == 2 + assert (3 + 2*x + 4*x**2).coeff(1) == 0 + assert (3 + 2*x + 4*x**2).coeff(-1) == 0 + assert (3 + 2*x + 4*x**2).coeff(x) == 2 + assert (3 + 2*x + 4*x**2).coeff(x**2) == 4 + assert (3 + 2*x + 4*x**2).coeff(x**3) == 0 + + assert (-x/8 + x*y).coeff(x) == Rational(-1, 8) + y + assert (-x/8 + x*y).coeff(-x) == S.One/8 + assert (4*x).coeff(2*x) == 0 + assert (2*x).coeff(2*x) == 1 + assert (-oo*x).coeff(x*oo) == -1 + assert (10*x).coeff(x, 0) == 0 + assert (10*x).coeff(10*x, 0) == 0 + + n1, n2 = symbols('n1 n2', commutative=False) + assert (n1*n2).coeff(n1) == 1 + assert (n1*n2).coeff(n2) == n1 + assert (n1*n2 + x*n1).coeff(n1) == 1 # 1*n1*(n2+x) + assert (n2*n1 + x*n1).coeff(n1) == n2 + x + assert (n2*n1 + x*n1**2).coeff(n1) == n2 + assert (n1**x).coeff(n1) == 0 + assert (n1*n2 + n2*n1).coeff(n1) == 0 + assert (2*(n1 + n2)*n2).coeff(n1 + n2, right=1) == n2 + assert (2*(n1 + n2)*n2).coeff(n1 + n2, right=0) == 2 + + assert (2*f(x) + 3*f(x).diff(x)).coeff(f(x)) == 2 + + expr = z*(x + y)**2 + expr2 = z*(x + y)**2 + z*(2*x + 2*y)**2 + assert expr.coeff(z) == (x + y)**2 + assert expr.coeff(x + y) == 0 + assert expr2.coeff(z) == (x + y)**2 + (2*x + 2*y)**2 + + assert (x + y + 3*z).coeff(1) == x + y + assert (-x + 2*y).coeff(-1) == x + assert (x - 2*y).coeff(-1) == 2*y + assert (3 + 2*x + 4*x**2).coeff(1) == 0 + assert (-x - 2*y).coeff(2) == -y + assert (x + sqrt(2)*x).coeff(sqrt(2)) == x + assert (3 + 2*x + 4*x**2).coeff(x) == 2 + assert (3 + 2*x + 4*x**2).coeff(x**2) == 4 + assert (3 + 2*x + 4*x**2).coeff(x**3) == 0 + assert (z*(x + y)**2).coeff((x + y)**2) == z + assert (z*(x + y)**2).coeff(x + y) == 0 + assert (2 + 2*x + (x + 1)*y).coeff(x + 1) == y + + assert (x + 2*y + 3).coeff(1) == x + assert (x + 2*y + 3).coeff(x, 0) == 2*y + 3 + assert (x**2 + 2*y + 3*x).coeff(x**2, 0) == 2*y + 3*x + assert x.coeff(0, 0) == 0 + assert x.coeff(x, 0) == 0 + + n, m, o, l = symbols('n m o l', commutative=False) + assert n.coeff(n) == 1 + assert y.coeff(n) == 0 + assert (3*n).coeff(n) == 3 + assert (2 + n).coeff(x*m) == 0 + assert (2*x*n*m).coeff(x) == 2*n*m + assert (2 + n).coeff(x*m*n + y) == 0 + assert (2*x*n*m).coeff(3*n) == 0 + assert (n*m + m*n*m).coeff(n) == 1 + m + assert (n*m + m*n*m).coeff(n, right=True) == m # = (1 + m)*n*m + assert (n*m + m*n).coeff(n) == 0 + assert (n*m + o*m*n).coeff(m*n) == o + assert (n*m + o*m*n).coeff(m*n, right=True) == 1 + assert (n*m + n*m*n).coeff(n*m, right=True) == 1 + n # = n*m*(n + 1) + + assert (x*y).coeff(z, 0) == x*y + + assert (x*n + y*n + z*m).coeff(n) == x + y + assert (n*m + n*o + o*l).coeff(n, right=True) == m + o + assert (x*n*m*n + y*n*m*o + z*l).coeff(m, right=True) == x*n + y*o + assert (x*n*m*n + x*n*m*o + z*l).coeff(m, right=True) == n + o + assert (x*n*m*n + x*n*m*o + z*l).coeff(m) == x*n + + +def test_coeff2(): + r, kappa = symbols('r, kappa') + psi = Function("psi") + g = 1/r**2 * (2*r*psi(r).diff(r, 1) + r**2 * psi(r).diff(r, 2)) + g = g.expand() + assert g.coeff(psi(r).diff(r)) == 2/r + + +def test_coeff2_0(): + r, kappa = symbols('r, kappa') + psi = Function("psi") + g = 1/r**2 * (2*r*psi(r).diff(r, 1) + r**2 * psi(r).diff(r, 2)) + g = g.expand() + + assert g.coeff(psi(r).diff(r, 2)) == 1 + + +def test_coeff_expand(): + expr = z*(x + y)**2 + expr2 = z*(x + y)**2 + z*(2*x + 2*y)**2 + assert expr.coeff(z) == (x + y)**2 + assert expr2.coeff(z) == (x + y)**2 + (2*x + 2*y)**2 + + +def test_integrate(): + assert x.integrate(x) == x**2/2 + assert x.integrate((x, 0, 1)) == S.Half + + +def test_as_base_exp(): + assert x.as_base_exp() == (x, S.One) + assert (x*y*z).as_base_exp() == (x*y*z, S.One) + assert (x + y + z).as_base_exp() == (x + y + z, S.One) + assert ((x + y)**z).as_base_exp() == (x + y, z) + assert (x**2*y**2).as_base_exp() == (x*y, 2) + assert (x**z*y**z).as_base_exp() == (x**z*y**z, S.One) + + +def test_issue_4963(): + assert hasattr(Mul(x, y), "is_commutative") + assert hasattr(Mul(x, y, evaluate=False), "is_commutative") + assert hasattr(Pow(x, y), "is_commutative") + assert hasattr(Pow(x, y, evaluate=False), "is_commutative") + expr = Mul(Pow(2, 2, evaluate=False), 3, evaluate=False) + 1 + assert hasattr(expr, "is_commutative") + + +def test_action_verbs(): + assert nsimplify(1/(exp(3*pi*x/5) + 1)) == \ + (1/(exp(3*pi*x/5) + 1)).nsimplify() + assert ratsimp(1/x + 1/y) == (1/x + 1/y).ratsimp() + assert trigsimp(log(x), deep=True) == (log(x)).trigsimp(deep=True) + assert radsimp(1/(2 + sqrt(2))) == (1/(2 + sqrt(2))).radsimp() + assert radsimp(1/(a + b*sqrt(c)), symbolic=False) == \ + (1/(a + b*sqrt(c))).radsimp(symbolic=False) + assert powsimp(x**y*x**z*y**z, combine='all') == \ + (x**y*x**z*y**z).powsimp(combine='all') + assert (x**t*y**t).powsimp(force=True) == (x*y)**t + assert simplify(x**y*x**z*y**z) == (x**y*x**z*y**z).simplify() + assert together(1/x + 1/y) == (1/x + 1/y).together() + assert collect(a*x**2 + b*x**2 + a*x - b*x + c, x) == \ + (a*x**2 + b*x**2 + a*x - b*x + c).collect(x) + assert apart(y/(y + 2)/(y + 1), y) == (y/(y + 2)/(y + 1)).apart(y) + assert combsimp(y/(x + 2)/(x + 1)) == (y/(x + 2)/(x + 1)).combsimp() + assert gammasimp(gamma(x)/gamma(x-5)) == (gamma(x)/gamma(x-5)).gammasimp() + assert factor(x**2 + 5*x + 6) == (x**2 + 5*x + 6).factor() + assert refine(sqrt(x**2)) == sqrt(x**2).refine() + assert cancel((x**2 + 5*x + 6)/(x + 2)) == ((x**2 + 5*x + 6)/(x + 2)).cancel() + + +def test_as_powers_dict(): + assert x.as_powers_dict() == {x: 1} + assert (x**y*z).as_powers_dict() == {x: y, z: 1} + assert Mul(2, 2, evaluate=False).as_powers_dict() == {S(2): S(2)} + assert (x*y).as_powers_dict()[z] == 0 + assert (x + y).as_powers_dict()[z] == 0 + + +def test_as_coefficients_dict(): + check = [S.One, x, y, x*y, 1] + assert [Add(3*x, 2*x, y, 3).as_coefficients_dict()[i] for i in check] == \ + [3, 5, 1, 0, 3] + assert [Add(3*x, 2*x, y, 3, evaluate=False).as_coefficients_dict()[i] + for i in check] == [3, 5, 1, 0, 3] + assert [(3*x*y).as_coefficients_dict()[i] for i in check] == \ + [0, 0, 0, 3, 0] + assert [(3.0*x*y).as_coefficients_dict()[i] for i in check] == \ + [0, 0, 0, 3.0, 0] + assert (3.0*x*y).as_coefficients_dict()[3.0*x*y] == 0 + eq = x*(x + 1)*a + x*b + c/x + assert eq.as_coefficients_dict(x) == {x: b, 1/x: c, + x*(x + 1): a} + assert eq.expand().as_coefficients_dict(x) == {x**2: a, x: a + b, 1/x: c} + assert x.as_coefficients_dict() == {x: S.One} + + +def test_args_cnc(): + A = symbols('A', commutative=False) + assert (x + A).args_cnc() == \ + [[], [x + A]] + assert (x + a).args_cnc() == \ + [[a + x], []] + assert (x*a).args_cnc() == \ + [[a, x], []] + assert (x*y*A*(A + 1)).args_cnc(cset=True) == \ + [{x, y}, [A, 1 + A]] + assert Mul(x, x, evaluate=False).args_cnc(cset=True, warn=False) == \ + [{x}, []] + assert Mul(x, x**2, evaluate=False).args_cnc(cset=True, warn=False) == \ + [{x, x**2}, []] + raises(ValueError, lambda: Mul(x, x, evaluate=False).args_cnc(cset=True)) + assert Mul(x, y, x, evaluate=False).args_cnc() == \ + [[x, y, x], []] + # always split -1 from leading number + assert (-1.*x).args_cnc() == [[-1, 1.0, x], []] + + +def test_new_rawargs(): + n = Symbol('n', commutative=False) + a = x + n + assert a.is_commutative is False + assert a._new_rawargs(x).is_commutative + assert a._new_rawargs(x, y).is_commutative + assert a._new_rawargs(x, n).is_commutative is False + assert a._new_rawargs(x, y, n).is_commutative is False + m = x*n + assert m.is_commutative is False + assert m._new_rawargs(x).is_commutative + assert m._new_rawargs(n).is_commutative is False + assert m._new_rawargs(x, y).is_commutative + assert m._new_rawargs(x, n).is_commutative is False + assert m._new_rawargs(x, y, n).is_commutative is False + + assert m._new_rawargs(x, n, reeval=False).is_commutative is False + assert m._new_rawargs(S.One) is S.One + + +def test_issue_5226(): + assert Add(evaluate=False) == 0 + assert Mul(evaluate=False) == 1 + assert Mul(x + y, evaluate=False).is_Add + + +def test_free_symbols(): + # free_symbols should return the free symbols of an object + assert S.One.free_symbols == set() + assert x.free_symbols == {x} + assert Integral(x, (x, 1, y)).free_symbols == {y} + assert (-Integral(x, (x, 1, y))).free_symbols == {y} + assert meter.free_symbols == set() + assert (meter**x).free_symbols == {x} + + +def test_has_free(): + assert x.has_free(x) + assert not x.has_free(y) + assert (x + y).has_free(x) + assert (x + y).has_free(*(x, z)) + assert f(x).has_free(x) + assert f(x).has_free(f(x)) + assert Integral(f(x), (f(x), 1, y)).has_free(y) + assert not Integral(f(x), (f(x), 1, y)).has_free(x) + assert not Integral(f(x), (f(x), 1, y)).has_free(f(x)) + # simple extraction + assert (x + 1 + y).has_free(x + 1) + assert not (x + 2 + y).has_free(x + 1) + assert (2 + 3*x*y).has_free(3*x) + raises(TypeError, lambda: x.has_free({x, y})) + s = FiniteSet(1, 2) + assert Piecewise((s, x > 3), (4, True)).has_free(s) + assert not Piecewise((1, x > 3), (4, True)).has_free(s) + # can't make set of these, but fallback will handle + raises(TypeError, lambda: x.has_free(y, [])) + + +def test_has_xfree(): + assert (x + 1).has_xfree({x}) + assert ((x + 1)**2).has_xfree({x + 1}) + assert not (x + y + 1).has_xfree({x + 1}) + raises(TypeError, lambda: x.has_xfree(x)) + raises(TypeError, lambda: x.has_xfree([x])) + + +def test_issue_5300(): + x = Symbol('x', commutative=False) + assert x*sqrt(2)/sqrt(6) == x*sqrt(3)/3 + + +def test_floordiv(): + from sympy.functions.elementary.integers import floor + assert x // y == floor(x / y) + + +def test_as_coeff_Mul(): + assert Integer(3).as_coeff_Mul() == (Integer(3), Integer(1)) + assert Rational(3, 4).as_coeff_Mul() == (Rational(3, 4), Integer(1)) + assert Float(5.0).as_coeff_Mul() == (Float(5.0), Integer(1)) + assert Float(0.0).as_coeff_Mul() == (Float(0.0), Integer(1)) + + assert (Integer(3)*x).as_coeff_Mul() == (Integer(3), x) + assert (Rational(3, 4)*x).as_coeff_Mul() == (Rational(3, 4), x) + assert (Float(5.0)*x).as_coeff_Mul() == (Float(5.0), x) + + assert (Integer(3)*x*y).as_coeff_Mul() == (Integer(3), x*y) + assert (Rational(3, 4)*x*y).as_coeff_Mul() == (Rational(3, 4), x*y) + assert (Float(5.0)*x*y).as_coeff_Mul() == (Float(5.0), x*y) + + assert (x).as_coeff_Mul() == (S.One, x) + assert (x*y).as_coeff_Mul() == (S.One, x*y) + assert (-oo*x).as_coeff_Mul(rational=True) == (-1, oo*x) + + +def test_as_coeff_Add(): + assert Integer(3).as_coeff_Add() == (Integer(3), Integer(0)) + assert Rational(3, 4).as_coeff_Add() == (Rational(3, 4), Integer(0)) + assert Float(5.0).as_coeff_Add() == (Float(5.0), Integer(0)) + + assert (Integer(3) + x).as_coeff_Add() == (Integer(3), x) + assert (Rational(3, 4) + x).as_coeff_Add() == (Rational(3, 4), x) + assert (Float(5.0) + x).as_coeff_Add() == (Float(5.0), x) + assert (Float(5.0) + x).as_coeff_Add(rational=True) == (0, Float(5.0) + x) + + assert (Integer(3) + x + y).as_coeff_Add() == (Integer(3), x + y) + assert (Rational(3, 4) + x + y).as_coeff_Add() == (Rational(3, 4), x + y) + assert (Float(5.0) + x + y).as_coeff_Add() == (Float(5.0), x + y) + + assert (x).as_coeff_Add() == (S.Zero, x) + assert (x*y).as_coeff_Add() == (S.Zero, x*y) + + +def test_expr_sorting(): + + exprs = [1/x**2, 1/x, sqrt(sqrt(x)), sqrt(x), x, sqrt(x)**3, x**2] + assert sorted(exprs, key=default_sort_key) == exprs + + exprs = [x, 2*x, 2*x**2, 2*x**3, x**n, 2*x**n, sin(x), sin(x)**n, + sin(x**2), cos(x), cos(x**2), tan(x)] + assert sorted(exprs, key=default_sort_key) == exprs + + exprs = [x + 1, x**2 + x + 1, x**3 + x**2 + x + 1] + assert sorted(exprs, key=default_sort_key) == exprs + + exprs = [S(4), x - 3*I/2, x + 3*I/2, x - 4*I + 1, x + 4*I + 1] + assert sorted(exprs, key=default_sort_key) == exprs + + exprs = [f(1), f(2), f(3), f(1, 2, 3), g(1), g(2), g(3), g(1, 2, 3)] + assert sorted(exprs, key=default_sort_key) == exprs + + exprs = [f(x), g(x), exp(x), sin(x), cos(x), factorial(x)] + assert sorted(exprs, key=default_sort_key) == exprs + + exprs = [Tuple(x, y), Tuple(x, z), Tuple(x, y, z)] + assert sorted(exprs, key=default_sort_key) == exprs + + exprs = [[3], [1, 2]] + assert sorted(exprs, key=default_sort_key) == exprs + + exprs = [[1, 2], [2, 3]] + assert sorted(exprs, key=default_sort_key) == exprs + + exprs = [[1, 2], [1, 2, 3]] + assert sorted(exprs, key=default_sort_key) == exprs + + exprs = [{x: -y}, {x: y}] + assert sorted(exprs, key=default_sort_key) == exprs + + exprs = [{1}, {1, 2}] + assert sorted(exprs, key=default_sort_key) == exprs + + a, b = exprs = [Dummy('x'), Dummy('x')] + assert sorted([b, a], key=default_sort_key) == exprs + + +def test_as_ordered_factors(): + + assert x.as_ordered_factors() == [x] + assert (2*x*x**n*sin(x)*cos(x)).as_ordered_factors() \ + == [Integer(2), x, x**n, sin(x), cos(x)] + + args = [f(1), f(2), f(3), f(1, 2, 3), g(1), g(2), g(3), g(1, 2, 3)] + expr = Mul(*args) + + assert expr.as_ordered_factors() == args + + A, B = symbols('A,B', commutative=False) + + assert (A*B).as_ordered_factors() == [A, B] + assert (B*A).as_ordered_factors() == [B, A] + + +def test_as_ordered_terms(): + + assert x.as_ordered_terms() == [x] + assert (sin(x)**2*cos(x) + sin(x)*cos(x)**2 + 1).as_ordered_terms() \ + == [sin(x)**2*cos(x), sin(x)*cos(x)**2, 1] + + args = [f(1), f(2), f(3), f(1, 2, 3), g(1), g(2), g(3), g(1, 2, 3)] + expr = Add(*args) + + assert expr.as_ordered_terms() == args + + assert (1 + 4*sqrt(3)*pi*x).as_ordered_terms() == [4*pi*x*sqrt(3), 1] + + assert ( 2 + 3*I).as_ordered_terms() == [2, 3*I] + assert (-2 + 3*I).as_ordered_terms() == [-2, 3*I] + assert ( 2 - 3*I).as_ordered_terms() == [2, -3*I] + assert (-2 - 3*I).as_ordered_terms() == [-2, -3*I] + + assert ( 4 + 3*I).as_ordered_terms() == [4, 3*I] + assert (-4 + 3*I).as_ordered_terms() == [-4, 3*I] + assert ( 4 - 3*I).as_ordered_terms() == [4, -3*I] + assert (-4 - 3*I).as_ordered_terms() == [-4, -3*I] + + e = x**2*y**2 + x*y**4 + y + 2 + + assert e.as_ordered_terms(order="lex") == [x**2*y**2, x*y**4, y, 2] + assert e.as_ordered_terms(order="grlex") == [x*y**4, x**2*y**2, y, 2] + assert e.as_ordered_terms(order="rev-lex") == [2, y, x*y**4, x**2*y**2] + assert e.as_ordered_terms(order="rev-grlex") == [2, y, x**2*y**2, x*y**4] + + k = symbols('k') + assert k.as_ordered_terms(data=True) == ([(k, ((1.0, 0.0), (1,), ()))], [k]) + + +def test_sort_key_atomic_expr(): + from sympy.physics.units import m, s + assert sorted([-m, s], key=lambda arg: arg.sort_key()) == [-m, s] + + +def test_eval_interval(): + assert exp(x)._eval_interval(*Tuple(x, 0, 1)) == exp(1) - exp(0) + + # issue 4199 + a = x/y + raises(NotImplementedError, lambda: a._eval_interval(x, S.Zero, oo)._eval_interval(y, oo, S.Zero)) + raises(NotImplementedError, lambda: a._eval_interval(x, S.Zero, oo)._eval_interval(y, S.Zero, oo)) + a = x - y + raises(NotImplementedError, lambda: a._eval_interval(x, S.One, oo)._eval_interval(y, oo, S.One)) + raises(ValueError, lambda: x._eval_interval(x, None, None)) + a = -y*Heaviside(x - y) + assert a._eval_interval(x, -oo, oo) == -y + assert a._eval_interval(x, oo, -oo) == y + + +def test_eval_interval_zoo(): + # Test that limit is used when zoo is returned + assert Si(1/x)._eval_interval(x, S.Zero, S.One) == -pi/2 + Si(1) + + +def test_primitive(): + assert (3*(x + 1)**2).primitive() == (3, (x + 1)**2) + assert (6*x + 2).primitive() == (2, 3*x + 1) + assert (x/2 + 3).primitive() == (S.Half, x + 6) + eq = (6*x + 2)*(x/2 + 3) + assert eq.primitive()[0] == 1 + eq = (2 + 2*x)**2 + assert eq.primitive()[0] == 1 + assert (4.0*x).primitive() == (1, 4.0*x) + assert (4.0*x + y/2).primitive() == (S.Half, 8.0*x + y) + assert (-2*x).primitive() == (2, -x) + assert Add(5*z/7, 0.5*x, 3*y/2, evaluate=False).primitive() == \ + (S.One/14, 7.0*x + 21*y + 10*z) + for i in [S.Infinity, S.NegativeInfinity, S.ComplexInfinity]: + assert (i + x/3).primitive() == \ + (S.One/3, i + x) + assert (S.Infinity + 2*x/3 + 4*y/7).primitive() == \ + (S.One/21, 14*x + 12*y + oo) + assert S.Zero.primitive() == (S.One, S.Zero) + + +def test_issue_5843(): + a = 1 + x + assert (2*a).extract_multiplicatively(a) == 2 + assert (4*a).extract_multiplicatively(2*a) == 2 + assert ((3*a)*(2*a)).extract_multiplicatively(a) == 6*a + + +def test_is_constant(): + from sympy.solvers.solvers import checksol + assert Sum(x, (x, 1, 10)).is_constant() is True + assert Sum(x, (x, 1, n)).is_constant() is False + assert Sum(x, (x, 1, n)).is_constant(y) is True + assert Sum(x, (x, 1, n)).is_constant(n) is False + assert Sum(x, (x, 1, n)).is_constant(x) is True + eq = a*cos(x)**2 + a*sin(x)**2 - a + assert eq.is_constant() is True + assert eq.subs({x: pi, a: 2}) == eq.subs({x: pi, a: 3}) == 0 + assert x.is_constant() is False + assert x.is_constant(y) is True + assert log(x/y).is_constant() is False + + assert checksol(x, x, Sum(x, (x, 1, n))) is False + assert checksol(x, x, Sum(x, (x, 1, n))) is False + assert f(1).is_constant + assert checksol(x, x, f(x)) is False + + assert Pow(x, S.Zero, evaluate=False).is_constant() is True # == 1 + assert Pow(S.Zero, x, evaluate=False).is_constant() is False # == 0 or 1 + assert (2**x).is_constant() is False + assert Pow(S(2), S(3), evaluate=False).is_constant() is True + + z1, z2 = symbols('z1 z2', zero=True) + assert (z1 + 2*z2).is_constant() is True + + assert meter.is_constant() is True + assert (3*meter).is_constant() is True + assert (x*meter).is_constant() is False + + +def test_equals(): + assert (-3 - sqrt(5) + (-sqrt(10)/2 - sqrt(2)/2)**2).equals(0) + assert (x**2 - 1).equals((x + 1)*(x - 1)) + assert (cos(x)**2 + sin(x)**2).equals(1) + assert (a*cos(x)**2 + a*sin(x)**2).equals(a) + r = sqrt(2) + assert (-1/(r + r*x) + 1/r/(1 + x)).equals(0) + assert factorial(x + 1).equals((x + 1)*factorial(x)) + assert sqrt(3).equals(2*sqrt(3)) is False + assert (sqrt(5)*sqrt(3)).equals(sqrt(3)) is False + assert (sqrt(5) + sqrt(3)).equals(0) is False + assert (sqrt(5) + pi).equals(0) is False + assert meter.equals(0) is False + assert (3*meter**2).equals(0) is False + eq = -(-1)**(S(3)/4)*6**(S.One/4) + (-6)**(S.One/4)*I + if eq != 0: # if canonicalization makes this zero, skip the test + assert eq.equals(0) + assert sqrt(x).equals(0) is False + + # from integrate(x*sqrt(1 + 2*x), x); + # diff is zero only when assumptions allow + i = 2*sqrt(2)*x**(S(5)/2)*(1 + 1/(2*x))**(S(5)/2)/5 + \ + 2*sqrt(2)*x**(S(3)/2)*(1 + 1/(2*x))**(S(5)/2)/(-6 - 3/x) + ans = sqrt(2*x + 1)*(6*x**2 + x - 1)/15 + diff = i - ans + assert diff.equals(0) is None # should be False, but previously this was False due to wrong intermediate result + assert diff.subs(x, Rational(-1, 2)/2) == 7*sqrt(2)/120 + # there are regions for x for which the expression is True, for + # example, when x < -1/2 or x > 0 the expression is zero + p = Symbol('p', positive=True) + assert diff.subs(x, p).equals(0) is True + assert diff.subs(x, -1).equals(0) is True + + # prove via minimal_polynomial or self-consistency + eq = sqrt(1 + sqrt(3)) + sqrt(3 + 3*sqrt(3)) - sqrt(10 + 6*sqrt(3)) + assert eq.equals(0) + q = 3**Rational(1, 3) + 3 + p = expand(q**3)**Rational(1, 3) + assert (p - q).equals(0) + + # issue 6829 + # eq = q*x + q/4 + x**4 + x**3 + 2*x**2 - S.One/3 + # z = eq.subs(x, solve(eq, x)[0]) + q = symbols('q') + z = (q*(-sqrt(-2*(-(q - S(7)/8)**S(2)/8 - S(2197)/13824)**(S.One/3) - + S(13)/12)/2 - sqrt((2*q - S(7)/4)/sqrt(-2*(-(q - S(7)/8)**S(2)/8 - + S(2197)/13824)**(S.One/3) - S(13)/12) + 2*(-(q - S(7)/8)**S(2)/8 - + S(2197)/13824)**(S.One/3) - S(13)/6)/2 - S.One/4) + q/4 + (-sqrt(-2*(-(q + - S(7)/8)**S(2)/8 - S(2197)/13824)**(S.One/3) - S(13)/12)/2 - sqrt((2*q + - S(7)/4)/sqrt(-2*(-(q - S(7)/8)**S(2)/8 - S(2197)/13824)**(S.One/3) - + S(13)/12) + 2*(-(q - S(7)/8)**S(2)/8 - S(2197)/13824)**(S.One/3) - + S(13)/6)/2 - S.One/4)**4 + (-sqrt(-2*(-(q - S(7)/8)**S(2)/8 - + S(2197)/13824)**(S.One/3) - S(13)/12)/2 - sqrt((2*q - + S(7)/4)/sqrt(-2*(-(q - S(7)/8)**S(2)/8 - S(2197)/13824)**(S.One/3) - + S(13)/12) + 2*(-(q - S(7)/8)**S(2)/8 - S(2197)/13824)**(S.One/3) - + S(13)/6)/2 - S.One/4)**3 + 2*(-sqrt(-2*(-(q - S(7)/8)**S(2)/8 - + S(2197)/13824)**(S.One/3) - S(13)/12)/2 - sqrt((2*q - + S(7)/4)/sqrt(-2*(-(q - S(7)/8)**S(2)/8 - S(2197)/13824)**(S.One/3) - + S(13)/12) + 2*(-(q - S(7)/8)**S(2)/8 - S(2197)/13824)**(S.One/3) - + S(13)/6)/2 - S.One/4)**2 - Rational(1, 3)) + assert z.equals(0) + + +def test_random(): + from sympy.functions.combinatorial.numbers import lucas + from sympy.simplify.simplify import posify + assert posify(x)[0]._random() is not None + assert lucas(n)._random(2, -2, 0, -1, 1) is None + + # issue 8662 + assert Piecewise((Max(x, y), z))._random() is None + + +def test_round(): + assert str(Float('0.1249999').round(2)) == '0.12' + d20 = 12345678901234567890 + ans = S(d20).round(2) + assert ans.is_Integer and ans == d20 + ans = S(d20).round(-2) + assert ans.is_Integer and ans == 12345678901234567900 + assert str(S('1/7').round(4)) == '0.1429' + assert str(S('.[12345]').round(4)) == '0.1235' + assert str(S('.1349').round(2)) == '0.13' + n = S(12345) + ans = n.round() + assert ans.is_Integer + assert ans == n + ans = n.round(1) + assert ans.is_Integer + assert ans == n + ans = n.round(4) + assert ans.is_Integer + assert ans == n + assert n.round(-1) == 12340 + + r = Float(str(n)).round(-4) + assert r == 10000.0 + + assert n.round(-5) == 0 + + assert str((pi + sqrt(2)).round(2)) == '4.56' + assert (10*(pi + sqrt(2))).round(-1) == 50.0 + raises(TypeError, lambda: round(x + 2, 2)) + assert str(S(2.3).round(1)) == '2.3' + # rounding in SymPy (as in Decimal) should be + # exact for the given precision; we check here + # that when a 5 follows the last digit that + # the rounded digit will be even. + for i in range(-99, 100): + # construct a decimal that ends in 5, e.g. 123 -> 0.1235 + s = str(abs(i)) + p = len(s) # we are going to round to the last digit of i + n = '0.%s5' % s # put a 5 after i's digits + j = p + 2 # 2 for '0.' + if i < 0: # 1 for '-' + j += 1 + n = '-' + n + v = str(Float(n).round(p))[:j] # pertinent digits + if v.endswith('.'): + continue # it ends with 0 which is even + L = int(v[-1]) # last digit + assert L % 2 == 0, (n, '->', v) + + assert (Float(.3, 3) + 2*pi).round() == 7 + assert (Float(.3, 3) + 2*pi*100).round() == 629 + assert (pi + 2*E*I).round() == 3 + 5*I + # don't let request for extra precision give more than + # what is known (in this case, only 3 digits) + assert str((Float(.03, 3) + 2*pi/100).round(5)) == '0.0928' + assert str((Float(.03, 3) + 2*pi/100).round(4)) == '0.0928' + + assert S.Zero.round() == 0 + + a = (Add(1, Float('1.' + '9'*27, ''), evaluate=False)) + assert a.round(10) == Float('3.000000000000000000000000000', '') + assert a.round(25) == Float('3.000000000000000000000000000', '') + assert a.round(26) == Float('3.000000000000000000000000000', '') + assert a.round(27) == Float('2.999999999999999999999999999', '') + assert a.round(30) == Float('2.999999999999999999999999999', '') + #assert a.round(10) == Float('3.0000000000', '') + #assert a.round(25) == Float('3.0000000000000000000000000', '') + #assert a.round(26) == Float('3.00000000000000000000000000', '') + #assert a.round(27) == Float('2.999999999999999999999999999', '') + #assert a.round(30) == Float('2.999999999999999999999999999', '') + + # XXX: Should round set the precision of the result? + # The previous version of the tests above is this but they only pass + # because Floats with unequal precision compare equal: + # + # assert a.round(10) == Float('3.0000000000', '') + # assert a.round(25) == Float('3.0000000000000000000000000', '') + # assert a.round(26) == Float('3.00000000000000000000000000', '') + # assert a.round(27) == Float('2.999999999999999999999999999', '') + # assert a.round(30) == Float('2.999999999999999999999999999', '') + + raises(TypeError, lambda: x.round()) + raises(TypeError, lambda: f(1).round()) + + # exact magnitude of 10 + assert str(S.One.round()) == '1' + assert str(S(100).round()) == '100' + + # applied to real and imaginary portions + assert (2*pi + E*I).round() == 6 + 3*I + assert (2*pi + I/10).round() == 6 + assert (pi/10 + 2*I).round() == 2*I + # the lhs re and im parts are Float with dps of 2 + # and those on the right have dps of 15 so they won't compare + # equal unless we use string or compare components (which will + # then coerce the floats to the same precision) or re-create + # the floats + assert str((pi/10 + E*I).round(2)) == '0.31 + 2.72*I' + assert str((pi/10 + E*I).round(2).as_real_imag()) == '(0.31, 2.72)' + assert str((pi/10 + E*I).round(2)) == '0.31 + 2.72*I' + + # issue 6914 + assert (I**(I + 3)).round(3) == Float('-0.208', '')*I + + # issue 8720 + assert S(-123.6).round() == -124 + assert S(-1.5).round() == -2 + assert S(-100.5).round() == -100 + assert S(-1.5 - 10.5*I).round() == -2 - 10*I + + # issue 7961 + assert str(S(0.006).round(2)) == '0.01' + assert str(S(0.00106).round(4)) == '0.0011' + + # issue 8147 + assert S.NaN.round() is S.NaN + assert S.Infinity.round() is S.Infinity + assert S.NegativeInfinity.round() is S.NegativeInfinity + assert S.ComplexInfinity.round() is S.ComplexInfinity + + # check that types match + for i in range(2): + fi = float(i) + # 2 args + assert all(type(round(i, p)) is int for p in (-1, 0, 1)) + assert all(S(i).round(p).is_Integer for p in (-1, 0, 1)) + assert all(type(round(fi, p)) is float for p in (-1, 0, 1)) + assert all(S(fi).round(p).is_Float for p in (-1, 0, 1)) + # 1 arg (p is None) + assert type(round(i)) is int + assert S(i).round().is_Integer + assert type(round(fi)) is int + assert S(fi).round().is_Integer + + # issue 25698 + n = 6000002 + assert int(n*(log(n) + log(log(n)))) == 110130079 + one = cos(2)**2 + sin(2)**2 + eq = exp(one*I*pi) + qr, qi = eq.as_real_imag() + assert qi.round(2) == 0.0 + assert eq.round(2) == -1.0 + eq = one - 1/S(10**120) + assert S.true not in (eq > 1, eq < 1) + assert int(eq) == int(.9) == 0 + assert int(-eq) == int(-.9) == 0 + + +def test_held_expression_UnevaluatedExpr(): + x = symbols("x") + he = UnevaluatedExpr(1/x) + e1 = x*he + + assert isinstance(e1, Mul) + assert e1.args == (x, he) + assert e1.doit() == 1 + assert UnevaluatedExpr(Derivative(x, x)).doit(deep=False + ) == Derivative(x, x) + assert UnevaluatedExpr(Derivative(x, x)).doit() == 1 + + xx = Mul(x, x, evaluate=False) + assert xx != x**2 + + ue2 = UnevaluatedExpr(xx) + assert isinstance(ue2, UnevaluatedExpr) + assert ue2.args == (xx,) + assert ue2.doit() == x**2 + assert ue2.doit(deep=False) == xx + + x2 = UnevaluatedExpr(2)*2 + assert type(x2) is Mul + assert x2.args == (2, UnevaluatedExpr(2)) + +def test_round_exception_nostr(): + # Don't use the string form of the expression in the round exception, as + # it's too slow + s = Symbol('bad') + try: + s.round() + except TypeError as e: + assert 'bad' not in str(e) + else: + # Did not raise + raise AssertionError("Did not raise") + + +def test_extract_branch_factor(): + assert exp_polar(2.0*I*pi).extract_branch_factor() == (1, 1) + + +def test_identity_removal(): + assert Add.make_args(x + 0) == (x,) + assert Mul.make_args(x*1) == (x,) + + +def test_float_0(): + assert Float(0.0) + 1 == Float(1.0) + + +@XFAIL +def test_float_0_fail(): + assert Float(0.0)*x == Float(0.0) + assert (x + Float(0.0)).is_Add + + +def test_issue_6325(): + ans = (b**2 + z**2 - (b*(a + b*t) + z*(c + t*z))**2/( + (a + b*t)**2 + (c + t*z)**2))/sqrt((a + b*t)**2 + (c + t*z)**2) + e = sqrt((a + b*t)**2 + (c + z*t)**2) + assert diff(e, t, 2) == ans + assert e.diff(t, 2) == ans + assert diff(e, t, 2, simplify=False) != ans + + +def test_issue_7426(): + f1 = a % c + f2 = x % z + assert f1.equals(f2) is None + + +def test_issue_11122(): + x = Symbol('x', extended_positive=False) + assert unchanged(Gt, x, 0) # (x > 0) + # (x > 0) should remain unevaluated after PR #16956 + + x = Symbol('x', positive=False, real=True) + assert (x > 0) is S.false + + +def test_issue_10651(): + x = Symbol('x', real=True) + e1 = (-1 + x)/(1 - x) + e3 = (4*x**2 - 4)/((1 - x)*(1 + x)) + e4 = 1/(cos(x)**2) - (tan(x))**2 + x = Symbol('x', positive=True) + e5 = (1 + x)/x + assert e1.is_constant() is None + assert e3.is_constant() is None + assert e4.is_constant() is None + assert e5.is_constant() is False + + +def test_issue_10161(): + x = symbols('x', real=True) + assert x*abs(x)*abs(x) == x**3 + + +def test_issue_10755(): + x = symbols('x') + raises(TypeError, lambda: int(log(x))) + raises(TypeError, lambda: log(x).round(2)) + + +def test_issue_11877(): + x = symbols('x') + assert integrate(log(S.Half - x), (x, 0, S.Half)) == Rational(-1, 2) -log(2)/2 + + +def test_normal(): + x = symbols('x') + e = Mul(S.Half, 1 + x, evaluate=False) + assert e.normal() == e + + +def test_expr(): + x = symbols('x') + raises(TypeError, lambda: tan(x).series(x, 2, oo, "+")) + + +def test_ExprBuilder(): + eb = ExprBuilder(Mul) + eb.args.extend([x, x]) + assert eb.build() == x**2 + + +def test_issue_22020(): + from sympy.parsing.sympy_parser import parse_expr + x = parse_expr("log((2*V/3-V)/C)/-(R+r)*C") + y = parse_expr("log((2*V/3-V)/C)/-(R+r)*2") + assert x.equals(y) is False + + +def test_non_string_equality(): + # Expressions should not compare equal to strings + x = symbols('x') + one = sympify(1) + assert (x == 'x') is False + assert (x != 'x') is True + assert (one == '1') is False + assert (one != '1') is True + assert (x + 1 == 'x + 1') is False + assert (x + 1 != 'x + 1') is True + + # Make sure == doesn't try to convert the resulting expression to a string + # (e.g., by calling sympify() instead of _sympify()) + + class BadRepr: + def __repr__(self): + raise RuntimeError + + assert (x == BadRepr()) is False + assert (x != BadRepr()) is True + + +def test_21494(): + from sympy.testing.pytest import warns_deprecated_sympy + + with warns_deprecated_sympy(): + assert x.expr_free_symbols == {x} + + with warns_deprecated_sympy(): + assert Basic().expr_free_symbols == set() + + with warns_deprecated_sympy(): + assert S(2).expr_free_symbols == {S(2)} + + with warns_deprecated_sympy(): + assert Indexed("A", x).expr_free_symbols == {Indexed("A", x)} + + with warns_deprecated_sympy(): + assert Subs(x, x, 0).expr_free_symbols == set() + + +def test_Expr__eq__iterable_handling(): + assert x != range(3) + + +def test_format(): + assert '{:1.2f}'.format(S.Zero) == '0.00' + assert '{:+3.0f}'.format(S(3)) == ' +3' + assert '{:23.20f}'.format(pi) == ' 3.14159265358979323846' + assert '{:50.48f}'.format(exp(sin(1))) == '2.319776824715853173956590377503266813254904772376' + + +def test_issue_24045(): + assert powsimp(exp(a)/((c*a - c*b)*(Float(1.0)*c*a - Float(1.0)*c*b))) # doesn't raise + + +def test__unevaluated_Mul(): + A, B = symbols('A B', commutative=False) + assert _unevaluated_Mul(x, A, B, S(2), A).args == (2, x, A, B, A) + assert _unevaluated_Mul(-x*A*B, S(2), A).args == (-2, x, A, B, A) + + +def test_Float_zero_division_error(): + # issue 27165 + assert Float('1.7567e-1417').round(15) == Float(0) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_exprtools.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_exprtools.py new file mode 100644 index 0000000000000000000000000000000000000000..b550db1606866fb76442980ea2139aaf61219525 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_exprtools.py @@ -0,0 +1,493 @@ +"""Tests for tools for manipulating of large commutative expressions. """ + +from sympy.concrete.summations import Sum +from sympy.core.add import Add +from sympy.core.basic import Basic +from sympy.core.containers import (Dict, Tuple) +from sympy.core.function import Function +from sympy.core.mul import Mul +from sympy.core.numbers import (I, Rational, oo) +from sympy.core.singleton import S +from sympy.core.symbol import (Dummy, Symbol, symbols) +from sympy.functions.elementary.exponential import (exp, log) +from sympy.functions.elementary.miscellaneous import (root, sqrt) +from sympy.functions.elementary.trigonometric import (cos, sin) +from sympy.integrals.integrals import Integral +from sympy.series.order import O +from sympy.sets.sets import Interval +from sympy.simplify.radsimp import collect +from sympy.simplify.simplify import simplify +from sympy.core.exprtools import (decompose_power, Factors, Term, _gcd_terms, + gcd_terms, factor_terms, factor_nc, _mask_nc, + _monotonic_sign) +from sympy.core.mul import _keep_coeff as _keep_coeff +from sympy.simplify.cse_opts import sub_pre +from sympy.testing.pytest import raises + +from sympy.abc import a, b, t, x, y, z + + +def test_decompose_power(): + assert decompose_power(x) == (x, 1) + assert decompose_power(x**2) == (x, 2) + assert decompose_power(x**(2*y)) == (x**y, 2) + assert decompose_power(x**(2*y/3)) == (x**(y/3), 2) + assert decompose_power(x**(y*Rational(2, 3))) == (x**(y/3), 2) + + +def test_Factors(): + assert Factors() == Factors({}) == Factors(S.One) + assert Factors().as_expr() is S.One + assert Factors({x: 2, y: 3, sin(x): 4}).as_expr() == x**2*y**3*sin(x)**4 + assert Factors(S.Infinity) == Factors({oo: 1}) + assert Factors(S.NegativeInfinity) == Factors({oo: 1, -1: 1}) + # issue #18059: + assert Factors((x**2)**S.Half).as_expr() == (x**2)**S.Half + + a = Factors({x: 5, y: 3, z: 7}) + b = Factors({ y: 4, z: 3, t: 10}) + + assert a.mul(b) == a*b == Factors({x: 5, y: 7, z: 10, t: 10}) + + assert a.div(b) == divmod(a, b) == \ + (Factors({x: 5, z: 4}), Factors({y: 1, t: 10})) + assert a.quo(b) == a/b == Factors({x: 5, z: 4}) + assert a.rem(b) == a % b == Factors({y: 1, t: 10}) + + assert a.pow(3) == a**3 == Factors({x: 15, y: 9, z: 21}) + assert b.pow(3) == b**3 == Factors({y: 12, z: 9, t: 30}) + + assert a.gcd(b) == Factors({y: 3, z: 3}) + assert a.lcm(b) == Factors({x: 5, y: 4, z: 7, t: 10}) + + a = Factors({x: 4, y: 7, t: 7}) + b = Factors({z: 1, t: 3}) + + assert a.normal(b) == (Factors({x: 4, y: 7, t: 4}), Factors({z: 1})) + + assert Factors(sqrt(2)*x).as_expr() == sqrt(2)*x + + assert Factors(-I)*I == Factors() + assert Factors({S.NegativeOne: S(3)})*Factors({S.NegativeOne: S.One, I: S(5)}) == \ + Factors(I) + assert Factors(sqrt(I)*I) == Factors(I**(S(3)/2)) == Factors({I: S(3)/2}) + assert Factors({I: S(3)/2}).as_expr() == I**(S(3)/2) + + assert Factors(S(2)**x).div(S(3)**x) == \ + (Factors({S(2): x}), Factors({S(3): x})) + assert Factors(2**(2*x + 2)).div(S(8)) == \ + (Factors({S(2): 2*x + 2}), Factors({S(8): S.One})) + + # coverage + # /!\ things break if this is not True + assert Factors({S.NegativeOne: Rational(3, 2)}) == Factors({I: S.One, S.NegativeOne: S.One}) + assert Factors({I: S.One, S.NegativeOne: Rational(1, 3)}).as_expr() == I*(-1)**Rational(1, 3) + + assert Factors(-1.) == Factors({S.NegativeOne: S.One, S(1.): 1}) + assert Factors(-2.) == Factors({S.NegativeOne: S.One, S(2.): 1}) + assert Factors((-2.)**x) == Factors({S(-2.): x}) + assert Factors(S(-2)) == Factors({S.NegativeOne: S.One, S(2): 1}) + assert Factors(S.Half) == Factors({S(2): -S.One}) + assert Factors(Rational(3, 2)) == Factors({S(3): S.One, S(2): S.NegativeOne}) + assert Factors({I: S.One}) == Factors(I) + assert Factors({-1.0: 2, I: 1}) == Factors({S(1.0): 1, I: 1}) + assert Factors({S.NegativeOne: Rational(-3, 2)}).as_expr() == I + A = symbols('A', commutative=False) + assert Factors(2*A**2) == Factors({S(2): 1, A**2: 1}) + assert Factors(I) == Factors({I: S.One}) + assert Factors(x).normal(S(2)) == (Factors(x), Factors(S(2))) + assert Factors(x).normal(S.Zero) == (Factors(), Factors(S.Zero)) + raises(ZeroDivisionError, lambda: Factors(x).div(S.Zero)) + assert Factors(x).mul(S(2)) == Factors(2*x) + assert Factors(x).mul(S.Zero).is_zero + assert Factors(x).mul(1/x).is_one + assert Factors(x**sqrt(2)**3).as_expr() == x**(2*sqrt(2)) + assert Factors(x)**Factors(S(2)) == Factors(x**2) + assert Factors(x).gcd(S.Zero) == Factors(x) + assert Factors(x).lcm(S.Zero).is_zero + assert Factors(S.Zero).div(x) == (Factors(S.Zero), Factors()) + assert Factors(x).div(x) == (Factors(), Factors()) + assert Factors({x: .2})/Factors({x: .2}) == Factors() + assert Factors(x) != Factors() + assert Factors(S.Zero).normal(x) == (Factors(S.Zero), Factors()) + n, d = x**(2 + y), x**2 + f = Factors(n) + assert f.div(d) == f.normal(d) == (Factors(x**y), Factors()) + assert f.gcd(d) == Factors() + d = x**y + assert f.div(d) == f.normal(d) == (Factors(x**2), Factors()) + assert f.gcd(d) == Factors(d) + n = d = 2**x + f = Factors(n) + assert f.div(d) == f.normal(d) == (Factors(), Factors()) + assert f.gcd(d) == Factors(d) + n, d = 2**x, 2**y + f = Factors(n) + assert f.div(d) == f.normal(d) == (Factors({S(2): x}), Factors({S(2): y})) + assert f.gcd(d) == Factors() + + # extraction of constant only + n = x**(x + 3) + assert Factors(n).normal(x**-3) == (Factors({x: x + 6}), Factors({})) + assert Factors(n).normal(x**3) == (Factors({x: x}), Factors({})) + assert Factors(n).normal(x**4) == (Factors({x: x}), Factors({x: 1})) + assert Factors(n).normal(x**(y - 3)) == \ + (Factors({x: x + 6}), Factors({x: y})) + assert Factors(n).normal(x**(y + 3)) == (Factors({x: x}), Factors({x: y})) + assert Factors(n).normal(x**(y + 4)) == \ + (Factors({x: x}), Factors({x: y + 1})) + + assert Factors(n).div(x**-3) == (Factors({x: x + 6}), Factors({})) + assert Factors(n).div(x**3) == (Factors({x: x}), Factors({})) + assert Factors(n).div(x**4) == (Factors({x: x}), Factors({x: 1})) + assert Factors(n).div(x**(y - 3)) == \ + (Factors({x: x + 6}), Factors({x: y})) + assert Factors(n).div(x**(y + 3)) == (Factors({x: x}), Factors({x: y})) + assert Factors(n).div(x**(y + 4)) == \ + (Factors({x: x}), Factors({x: y + 1})) + + assert Factors(3 * x / 2) == Factors({3: 1, 2: -1, x: 1}) + assert Factors(x * x / y) == Factors({x: 2, y: -1}) + assert Factors(27 * x / y**9) == Factors({27: 1, x: 1, y: -9}) + + +def test_Term(): + a = Term(4*x*y**2/z/t**3) + b = Term(2*x**3*y**5/t**3) + + assert a == Term(4, Factors({x: 1, y: 2}), Factors({z: 1, t: 3})) + assert b == Term(2, Factors({x: 3, y: 5}), Factors({t: 3})) + + assert a.as_expr() == 4*x*y**2/z/t**3 + assert b.as_expr() == 2*x**3*y**5/t**3 + + assert a.inv() == \ + Term(S.One/4, Factors({z: 1, t: 3}), Factors({x: 1, y: 2})) + assert b.inv() == Term(S.Half, Factors({t: 3}), Factors({x: 3, y: 5})) + + assert a.mul(b) == a*b == \ + Term(8, Factors({x: 4, y: 7}), Factors({z: 1, t: 6})) + assert a.quo(b) == a/b == Term(2, Factors({}), Factors({x: 2, y: 3, z: 1})) + + assert a.pow(3) == a**3 == \ + Term(64, Factors({x: 3, y: 6}), Factors({z: 3, t: 9})) + assert b.pow(3) == b**3 == Term(8, Factors({x: 9, y: 15}), Factors({t: 9})) + + assert a.pow(-3) == a**(-3) == \ + Term(S.One/64, Factors({z: 3, t: 9}), Factors({x: 3, y: 6})) + assert b.pow(-3) == b**(-3) == \ + Term(S.One/8, Factors({t: 9}), Factors({x: 9, y: 15})) + + assert a.gcd(b) == Term(2, Factors({x: 1, y: 2}), Factors({t: 3})) + assert a.lcm(b) == Term(4, Factors({x: 3, y: 5}), Factors({z: 1, t: 3})) + + a = Term(4*x*y**2/z/t**3) + b = Term(2*x**3*y**5*t**7) + + assert a.mul(b) == Term(8, Factors({x: 4, y: 7, t: 4}), Factors({z: 1})) + + assert Term((2*x + 2)**3) == Term(8, Factors({x + 1: 3}), Factors({})) + assert Term((2*x + 2)*(3*x + 6)**2) == \ + Term(18, Factors({x + 1: 1, x + 2: 2}), Factors({})) + + +def test_gcd_terms(): + f = 2*(x + 1)*(x + 4)/(5*x**2 + 5) + (2*x + 2)*(x + 5)/(x**2 + 1)/5 + \ + (2*x + 2)*(x + 6)/(5*x**2 + 5) + + assert _gcd_terms(f) == ((Rational(6, 5))*((1 + x)/(1 + x**2)), 5 + x, 1) + assert _gcd_terms(Add.make_args(f)) == \ + ((Rational(6, 5))*((1 + x)/(1 + x**2)), 5 + x, 1) + + newf = (Rational(6, 5))*((1 + x)*(5 + x)/(1 + x**2)) + assert gcd_terms(f) == newf + args = Add.make_args(f) + # non-Basic sequences of terms treated as terms of Add + assert gcd_terms(list(args)) == newf + assert gcd_terms(tuple(args)) == newf + assert gcd_terms(set(args)) == newf + # but a Basic sequence is treated as a container + assert gcd_terms(Tuple(*args)) != newf + assert gcd_terms(Basic(Tuple(S(1), 3*y + 3*x*y), Tuple(S(1), S(3)))) == \ + Basic(Tuple(S(1), 3*y*(x + 1)), Tuple(S(1), S(3))) + # but we shouldn't change keys of a dictionary or some may be lost + assert gcd_terms(Dict((x*(1 + y), S(2)), (x + x*y, y + x*y))) == \ + Dict({x*(y + 1): S(2), x + x*y: y*(1 + x)}) + + assert gcd_terms((2*x + 2)**3 + (2*x + 2)**2) == 4*(x + 1)**2*(2*x + 3) + + assert gcd_terms(0) == 0 + assert gcd_terms(1) == 1 + assert gcd_terms(x) == x + assert gcd_terms(2 + 2*x) == Mul(2, 1 + x, evaluate=False) + arg = x*(2*x + 4*y) + garg = 2*x*(x + 2*y) + assert gcd_terms(arg) == garg + assert gcd_terms(sin(arg)) == sin(garg) + + # issue 6139-like + alpha, alpha1, alpha2, alpha3 = symbols('alpha:4') + a = alpha**2 - alpha*x**2 + alpha + x**3 - x*(alpha + 1) + rep = (alpha, (1 + sqrt(5))/2 + alpha1*x + alpha2*x**2 + alpha3*x**3) + s = (a/(x - alpha)).subs(*rep).series(x, 0, 1) + assert simplify(collect(s, x)) == -sqrt(5)/2 - Rational(3, 2) + O(x) + + # issue 5917 + assert _gcd_terms([S.Zero, S.Zero]) == (0, 0, 1) + assert _gcd_terms([2*x + 4]) == (2, x + 2, 1) + + eq = x/(x + 1/x) + assert gcd_terms(eq, fraction=False) == eq + eq = x/2/y + 1/x/y + assert gcd_terms(eq, fraction=True, clear=True) == \ + (x**2 + 2)/(2*x*y) + assert gcd_terms(eq, fraction=True, clear=False) == \ + (x**2/2 + 1)/(x*y) + assert gcd_terms(eq, fraction=False, clear=True) == \ + (x + 2/x)/(2*y) + assert gcd_terms(eq, fraction=False, clear=False) == \ + (x/2 + 1/x)/y + + +def test_factor_terms(): + A = Symbol('A', commutative=False) + assert factor_terms(9*(x + x*y + 1) + (3*x + 3)**(2 + 2*x)) == \ + 9*x*y + 9*x + _keep_coeff(S(3), x + 1)**_keep_coeff(S(2), x + 1) + 9 + assert factor_terms(9*(x + x*y + 1) + (3)**(2 + 2*x)) == \ + _keep_coeff(S(9), 3**(2*x) + x*y + x + 1) + assert factor_terms(3**(2 + 2*x) + a*3**(2 + 2*x)) == \ + 9*3**(2*x)*(a + 1) + assert factor_terms(x + x*A) == \ + x*(1 + A) + assert factor_terms(sin(x + x*A)) == \ + sin(x*(1 + A)) + assert factor_terms((3*x + 3)**((2 + 2*x)/3)) == \ + _keep_coeff(S(3), x + 1)**_keep_coeff(Rational(2, 3), x + 1) + assert factor_terms(x + (x*y + x)**(3*x + 3)) == \ + x + (x*(y + 1))**_keep_coeff(S(3), x + 1) + assert factor_terms(a*(x + x*y) + b*(x*2 + y*x*2)) == \ + x*(a + 2*b)*(y + 1) + i = Integral(x, (x, 0, oo)) + assert factor_terms(i) == i + + assert factor_terms(x/2 + y) == x/2 + y + # fraction doesn't apply to integer denominators + assert factor_terms(x/2 + y, fraction=True) == x/2 + y + # clear *does* apply to the integer denominators + assert factor_terms(x/2 + y, clear=True) == Mul(S.Half, x + 2*y, evaluate=False) + + # check radical extraction + eq = sqrt(2) + sqrt(10) + assert factor_terms(eq) == eq + assert factor_terms(eq, radical=True) == sqrt(2)*(1 + sqrt(5)) + eq = root(-6, 3) + root(6, 3) + assert factor_terms(eq, radical=True) == 6**(S.One/3)*(1 + (-1)**(S.One/3)) + + eq = [x + x*y] + ans = [x*(y + 1)] + for c in [list, tuple, set]: + assert factor_terms(c(eq)) == c(ans) + assert factor_terms(Tuple(x + x*y)) == Tuple(x*(y + 1)) + assert factor_terms(Interval(0, 1)) == Interval(0, 1) + e = 1/sqrt(a/2 + 1) + assert factor_terms(e, clear=False) == 1/sqrt(a/2 + 1) + assert factor_terms(e, clear=True) == sqrt(2)/sqrt(a + 2) + + eq = x/(x + 1/x) + 1/(x**2 + 1) + assert factor_terms(eq, fraction=False) == eq + assert factor_terms(eq, fraction=True) == 1 + + assert factor_terms((1/(x**3 + x**2) + 2/x**2)*y) == \ + y*(2 + 1/(x + 1))/x**2 + + # if not True, then processesing for this in factor_terms is not necessary + assert gcd_terms(-x - y) == -x - y + assert factor_terms(-x - y) == Mul(-1, x + y, evaluate=False) + + # if not True, then "special" processesing in factor_terms is not necessary + assert gcd_terms(exp(Mul(-1, x + 1))) == exp(-x - 1) + e = exp(-x - 2) + x + assert factor_terms(e) == exp(Mul(-1, x + 2, evaluate=False)) + x + assert factor_terms(e, sign=False) == e + assert factor_terms(exp(-4*x - 2) - x) == -x + exp(Mul(-2, 2*x + 1, evaluate=False)) + + # sum/integral tests + for F in (Sum, Integral): + assert factor_terms(F(x, (y, 1, 10))) == x * F(1, (y, 1, 10)) + assert factor_terms(F(x, (y, 1, 10)) + x) == x * (1 + F(1, (y, 1, 10))) + assert factor_terms(F(x*y + x*y**2, (y, 1, 10))) == x*F(y*(y + 1), (y, 1, 10)) + + # expressions involving Pow terms with base 0 + assert factor_terms(0**(x - 2) - 1) == 0**(x - 2) - 1 + assert factor_terms(0**(x + 2) - 1) == 0**(x + 2) - 1 + assert factor_terms((0**(x + 2) - 1).subs(x,-2)) == 0 + + +def test_xreplace(): + e = Mul(2, 1 + x, evaluate=False) + assert e.xreplace({}) == e + assert e.xreplace({y: x}) == e + + +def test_factor_nc(): + x, y = symbols('x,y') + k = symbols('k', integer=True) + n, m, o = symbols('n,m,o', commutative=False) + + # mul and multinomial expansion is needed + from sympy.core.function import _mexpand + e = x*(1 + y)**2 + assert _mexpand(e) == x + x*2*y + x*y**2 + + def factor_nc_test(e): + ex = _mexpand(e) + assert ex.is_Add + f = factor_nc(ex) + assert not f.is_Add and _mexpand(f) == ex + + factor_nc_test(x*(1 + y)) + factor_nc_test(n*(x + 1)) + factor_nc_test(n*(x + m)) + factor_nc_test((x + m)*n) + factor_nc_test(n*m*(x*o + n*o*m)*n) + s = Sum(x, (x, 1, 2)) + factor_nc_test(x*(1 + s)) + factor_nc_test(x*(1 + s)*s) + factor_nc_test(x*(1 + sin(s))) + factor_nc_test((1 + n)**2) + + factor_nc_test((x + n)*(x + m)*(x + y)) + factor_nc_test(x*(n*m + 1)) + factor_nc_test(x*(n*m + x)) + factor_nc_test(x*(x*n*m + 1)) + factor_nc_test(n*(m/x + o)) + factor_nc_test(m*(n + o/2)) + factor_nc_test(x*n*(x*m + 1)) + factor_nc_test(x*(m*n + x*n*m)) + factor_nc_test(n*(1 - m)*n**2) + + factor_nc_test((n + m)**2) + factor_nc_test((n - m)*(n + m)**2) + factor_nc_test((n + m)**2*(n - m)) + factor_nc_test((m - n)*(n + m)**2*(n - m)) + + assert factor_nc(n*(n + n*m)) == n**2*(1 + m) + assert factor_nc(m*(m*n + n*m*n**2)) == m*(m + n*m*n)*n + eq = m*sin(n) - sin(n)*m + assert factor_nc(eq) == eq + + # for coverage: + from sympy.physics.secondquant import Commutator + from sympy.polys.polytools import factor + eq = 1 + x*Commutator(m, n) + assert factor_nc(eq) == eq + eq = x*Commutator(m, n) + x*Commutator(m, o)*Commutator(m, n) + assert factor(eq) == x*(1 + Commutator(m, o))*Commutator(m, n) + + # issue 6534 + assert (2*n + 2*m).factor() == 2*(n + m) + + # issue 6701 + _n = symbols('nz', zero=False, commutative=False) + assert factor_nc(_n**k + _n**(k + 1)) == _n**k*(1 + _n) + assert factor_nc((m*n)**k + (m*n)**(k + 1)) == (1 + m*n)*(m*n)**k + + # issue 6918 + assert factor_nc(-n*(2*x**2 + 2*x)) == -2*n*x*(x + 1) + + +def test_issue_6360(): + a, b = symbols("a b") + apb = a + b + eq = apb + apb**2*(-2*a - 2*b) + assert factor_terms(sub_pre(eq)) == a + b - 2*(a + b)**3 + + +def test_issue_7903(): + a = symbols(r'a', real=True) + t = exp(I*cos(a)) + exp(-I*sin(a)) + assert t.simplify() + +def test_issue_8263(): + F, G = symbols('F, G', commutative=False, cls=Function) + x, y = symbols('x, y') + expr, dummies, _ = _mask_nc(F(x)*G(y) - G(y)*F(x)) + for v in dummies.values(): + assert not v.is_commutative + assert not expr.is_zero + +def test_monotonic_sign(): + F = _monotonic_sign + x = symbols('x') + assert F(x) is None + assert F(-x) is None + assert F(Dummy(prime=True)) == 2 + assert F(Dummy(prime=True, odd=True)) == 3 + assert F(Dummy(composite=True)) == 4 + assert F(Dummy(composite=True, odd=True)) == 9 + assert F(Dummy(positive=True, integer=True)) == 1 + assert F(Dummy(positive=True, even=True)) == 2 + assert F(Dummy(positive=True, even=True, prime=False)) == 4 + assert F(Dummy(negative=True, integer=True)) == -1 + assert F(Dummy(negative=True, even=True)) == -2 + assert F(Dummy(zero=True)) == 0 + assert F(Dummy(nonnegative=True)) == 0 + assert F(Dummy(nonpositive=True)) == 0 + + assert F(Dummy(positive=True) + 1).is_positive + assert F(Dummy(positive=True, integer=True) - 1).is_nonnegative + assert F(Dummy(positive=True) - 1) is None + assert F(Dummy(negative=True) + 1) is None + assert F(Dummy(negative=True, integer=True) - 1).is_nonpositive + assert F(Dummy(negative=True) - 1).is_negative + assert F(-Dummy(positive=True) + 1) is None + assert F(-Dummy(positive=True, integer=True) - 1).is_negative + assert F(-Dummy(positive=True) - 1).is_negative + assert F(-Dummy(negative=True) + 1).is_positive + assert F(-Dummy(negative=True, integer=True) - 1).is_nonnegative + assert F(-Dummy(negative=True) - 1) is None + x = Dummy(negative=True) + assert F(x**3).is_nonpositive + assert F(x**3 + log(2)*x - 1).is_negative + x = Dummy(positive=True) + assert F(-x**3).is_nonpositive + + p = Dummy(positive=True) + assert F(1/p).is_positive + assert F(p/(p + 1)).is_positive + p = Dummy(nonnegative=True) + assert F(p/(p + 1)).is_nonnegative + p = Dummy(positive=True) + assert F(-1/p).is_negative + p = Dummy(nonpositive=True) + assert F(p/(-p + 1)).is_nonpositive + + p = Dummy(positive=True, integer=True) + q = Dummy(positive=True, integer=True) + assert F(-2/p/q).is_negative + assert F(-2/(p - 1)/q) is None + + assert F((p - 1)*q + 1).is_positive + assert F(-(p - 1)*q - 1).is_negative + +def test_issue_17256(): + from sympy.sets.fancysets import Range + x = Symbol('x') + s1 = Sum(x + 1, (x, 1, 9)) + s2 = Sum(x + 1, (x, Range(1, 10))) + a = Symbol('a') + r1 = s1.xreplace({x:a}) + r2 = s2.xreplace({x:a}) + + assert r1.doit() == r2.doit() + s1 = Sum(x + 1, (x, 0, 9)) + s2 = Sum(x + 1, (x, Range(10))) + a = Symbol('a') + r1 = s1.xreplace({x:a}) + r2 = s2.xreplace({x:a}) + assert r1 == r2 + +def test_issue_21623(): + from sympy.matrices.expressions.matexpr import MatrixSymbol + M = MatrixSymbol('X', 2, 2) + assert gcd_terms(M[0,0], 1) == M[0,0] diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_facts.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_facts.py new file mode 100644 index 0000000000000000000000000000000000000000..7ca04877d0bdaf8124258ea1d25a10bcfa0f5f3a --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_facts.py @@ -0,0 +1,312 @@ +from sympy.core.facts import (deduce_alpha_implications, + apply_beta_to_alpha_route, rules_2prereq, FactRules, FactKB) +from sympy.core.logic import And, Not +from sympy.testing.pytest import raises + +T = True +F = False +U = None + + +def test_deduce_alpha_implications(): + def D(i): + I = deduce_alpha_implications(i) + P = rules_2prereq({ + (k, True): {(v, True) for v in S} for k, S in I.items()}) + return I, P + + # transitivity + I, P = D([('a', 'b'), ('b', 'c')]) + assert I == {'a': {'b', 'c'}, 'b': {'c'}, Not('b'): + {Not('a')}, Not('c'): {Not('a'), Not('b')}} + assert P == {'a': {'b', 'c'}, 'b': {'a', 'c'}, 'c': {'a', 'b'}} + + # Duplicate entry + I, P = D([('a', 'b'), ('b', 'c'), ('b', 'c')]) + assert I == {'a': {'b', 'c'}, 'b': {'c'}, Not('b'): {Not('a')}, Not('c'): {Not('a'), Not('b')}} + assert P == {'a': {'b', 'c'}, 'b': {'a', 'c'}, 'c': {'a', 'b'}} + + # see if it is tolerant to cycles + assert D([('a', 'a'), ('a', 'a')]) == ({}, {}) + assert D([('a', 'b'), ('b', 'a')]) == ( + {'a': {'b'}, 'b': {'a'}, Not('a'): {Not('b')}, Not('b'): {Not('a')}}, + {'a': {'b'}, 'b': {'a'}}) + + # see if it catches inconsistency + raises(ValueError, lambda: D([('a', Not('a'))])) + raises(ValueError, lambda: D([('a', 'b'), ('b', Not('a'))])) + raises(ValueError, lambda: D([('a', 'b'), ('b', 'c'), ('b', 'na'), + ('na', Not('a'))])) + + # see if it handles implications with negations + I, P = D([('a', Not('b')), ('c', 'b')]) + assert I == {'a': {Not('b'), Not('c')}, 'b': {Not('a')}, 'c': {'b', Not('a')}, Not('b'): {Not('c')}} + assert P == {'a': {'b', 'c'}, 'b': {'a', 'c'}, 'c': {'a', 'b'}} + I, P = D([(Not('a'), 'b'), ('a', 'c')]) + assert I == {'a': {'c'}, Not('a'): {'b'}, Not('b'): {'a', + 'c'}, Not('c'): {Not('a'), 'b'},} + assert P == {'a': {'b', 'c'}, 'b': {'a', 'c'}, 'c': {'a', 'b'}} + + + # Long deductions + I, P = D([('a', 'b'), ('b', 'c'), ('c', 'd'), ('d', 'e')]) + assert I == {'a': {'b', 'c', 'd', 'e'}, 'b': {'c', 'd', 'e'}, + 'c': {'d', 'e'}, 'd': {'e'}, Not('b'): {Not('a')}, + Not('c'): {Not('a'), Not('b')}, Not('d'): {Not('a'), Not('b'), + Not('c')}, Not('e'): {Not('a'), Not('b'), Not('c'), Not('d')}} + assert P == {'a': {'b', 'c', 'd', 'e'}, 'b': {'a', 'c', 'd', + 'e'}, 'c': {'a', 'b', 'd', 'e'}, 'd': {'a', 'b', 'c', 'e'}, + 'e': {'a', 'b', 'c', 'd'}} + + # something related to real-world + I, P = D([('rat', 'real'), ('int', 'rat')]) + + assert I == {'int': {'rat', 'real'}, 'rat': {'real'}, + Not('real'): {Not('rat'), Not('int')}, Not('rat'): {Not('int')}} + assert P == {'rat': {'int', 'real'}, 'real': {'int', 'rat'}, + 'int': {'rat', 'real'}} + + +# TODO move me to appropriate place +def test_apply_beta_to_alpha_route(): + APPLY = apply_beta_to_alpha_route + + # indicates empty alpha-chain with attached beta-rule #bidx + def Q(bidx): + return (set(), [bidx]) + + # x -> a &(a,b) -> x -- x -> a + A = {'x': {'a'}} + B = [(And('a', 'b'), 'x')] + assert APPLY(A, B) == {'x': ({'a'}, []), 'a': Q(0), 'b': Q(0)} + + # x -> a &(a,!x) -> b -- x -> a + A = {'x': {'a'}} + B = [(And('a', Not('x')), 'b')] + assert APPLY(A, B) == {'x': ({'a'}, []), Not('x'): Q(0), 'a': Q(0)} + + # x -> a b &(a,b) -> c -- x -> a b c + A = {'x': {'a', 'b'}} + B = [(And('a', 'b'), 'c')] + assert APPLY(A, B) == \ + {'x': ({'a', 'b', 'c'}, []), 'a': Q(0), 'b': Q(0)} + + # x -> a &(a,b) -> y -- x -> a [#0] + A = {'x': {'a'}} + B = [(And('a', 'b'), 'y')] + assert APPLY(A, B) == {'x': ({'a'}, [0]), 'a': Q(0), 'b': Q(0)} + + # x -> a b c &(a,b) -> c -- x -> a b c + A = {'x': {'a', 'b', 'c'}} + B = [(And('a', 'b'), 'c')] + assert APPLY(A, B) == \ + {'x': ({'a', 'b', 'c'}, []), 'a': Q(0), 'b': Q(0)} + + # x -> a b &(a,b,c) -> y -- x -> a b [#0] + A = {'x': {'a', 'b'}} + B = [(And('a', 'b', 'c'), 'y')] + assert APPLY(A, B) == \ + {'x': ({'a', 'b'}, [0]), 'a': Q(0), 'b': Q(0), 'c': Q(0)} + + # x -> a b &(a,b) -> c -- x -> a b c d + # c -> d c -> d + A = {'x': {'a', 'b'}, 'c': {'d'}} + B = [(And('a', 'b'), 'c')] + assert APPLY(A, B) == {'x': ({'a', 'b', 'c', 'd'}, []), + 'c': ({'d'}, []), 'a': Q(0), 'b': Q(0)} + + # x -> a b &(a,b) -> c -- x -> a b c d e + # c -> d &(c,d) -> e c -> d e + A = {'x': {'a', 'b'}, 'c': {'d'}} + B = [(And('a', 'b'), 'c'), (And('c', 'd'), 'e')] + assert APPLY(A, B) == {'x': ({'a', 'b', 'c', 'd', 'e'}, []), + 'c': ({'d', 'e'}, []), 'a': Q(0), 'b': Q(0), 'd': Q(1)} + + # x -> a b &(a,y) -> z -- x -> a b y z + # &(a,b) -> y + A = {'x': {'a', 'b'}} + B = [(And('a', 'y'), 'z'), (And('a', 'b'), 'y')] + assert APPLY(A, B) == {'x': ({'a', 'b', 'y', 'z'}, []), + 'a': (set(), [0, 1]), 'y': Q(0), 'b': Q(1)} + + # x -> a b &(a,!b) -> c -- x -> a b + A = {'x': {'a', 'b'}} + B = [(And('a', Not('b')), 'c')] + assert APPLY(A, B) == \ + {'x': ({'a', 'b'}, []), 'a': Q(0), Not('b'): Q(0)} + + # !x -> !a !b &(!a,b) -> c -- !x -> !a !b + A = {Not('x'): {Not('a'), Not('b')}} + B = [(And(Not('a'), 'b'), 'c')] + assert APPLY(A, B) == \ + {Not('x'): ({Not('a'), Not('b')}, []), Not('a'): Q(0), 'b': Q(0)} + + # x -> a b &(b,c) -> !a -- x -> a b + A = {'x': {'a', 'b'}} + B = [(And('b', 'c'), Not('a'))] + assert APPLY(A, B) == {'x': ({'a', 'b'}, []), 'b': Q(0), 'c': Q(0)} + + # x -> a b &(a, b) -> c -- x -> a b c p + # c -> p a + A = {'x': {'a', 'b'}, 'c': {'p', 'a'}} + B = [(And('a', 'b'), 'c')] + assert APPLY(A, B) == {'x': ({'a', 'b', 'c', 'p'}, []), + 'c': ({'p', 'a'}, []), 'a': Q(0), 'b': Q(0)} + + +def test_FactRules_parse(): + f = FactRules('a -> b') + assert f.prereq == {'b': {'a'}, 'a': {'b'}} + + f = FactRules('a -> !b') + assert f.prereq == {'b': {'a'}, 'a': {'b'}} + + f = FactRules('!a -> b') + assert f.prereq == {'b': {'a'}, 'a': {'b'}} + + f = FactRules('!a -> !b') + assert f.prereq == {'b': {'a'}, 'a': {'b'}} + + f = FactRules('!z == nz') + assert f.prereq == {'z': {'nz'}, 'nz': {'z'}} + + +def test_FactRules_parse2(): + raises(ValueError, lambda: FactRules('a -> !a')) + + +def test_FactRules_deduce(): + f = FactRules(['a -> b', 'b -> c', 'b -> d', 'c -> e']) + + def D(facts): + kb = FactKB(f) + kb.deduce_all_facts(facts) + return kb + + assert D({'a': T}) == {'a': T, 'b': T, 'c': T, 'd': T, 'e': T} + assert D({'b': T}) == { 'b': T, 'c': T, 'd': T, 'e': T} + assert D({'c': T}) == { 'c': T, 'e': T} + assert D({'d': T}) == { 'd': T } + assert D({'e': T}) == { 'e': T} + + assert D({'a': F}) == {'a': F } + assert D({'b': F}) == {'a': F, 'b': F } + assert D({'c': F}) == {'a': F, 'b': F, 'c': F } + assert D({'d': F}) == {'a': F, 'b': F, 'd': F } + + assert D({'a': U}) == {'a': U} # XXX ok? + + +def test_FactRules_deduce2(): + # pos/neg/zero, but the rules are not sufficient to derive all relations + f = FactRules(['pos -> !neg', 'pos -> !z']) + + def D(facts): + kb = FactKB(f) + kb.deduce_all_facts(facts) + return kb + + assert D({'pos': T}) == {'pos': T, 'neg': F, 'z': F} + assert D({'pos': F}) == {'pos': F } + assert D({'neg': T}) == {'pos': F, 'neg': T } + assert D({'neg': F}) == { 'neg': F } + assert D({'z': T}) == {'pos': F, 'z': T} + assert D({'z': F}) == { 'z': F} + + # pos/neg/zero. rules are sufficient to derive all relations + f = FactRules(['pos -> !neg', 'neg -> !pos', 'pos -> !z', 'neg -> !z']) + + assert D({'pos': T}) == {'pos': T, 'neg': F, 'z': F} + assert D({'pos': F}) == {'pos': F } + assert D({'neg': T}) == {'pos': F, 'neg': T, 'z': F} + assert D({'neg': F}) == { 'neg': F } + assert D({'z': T}) == {'pos': F, 'neg': F, 'z': T} + assert D({'z': F}) == { 'z': F} + + +def test_FactRules_deduce_multiple(): + # deduction that involves _several_ starting points + f = FactRules(['real == pos | npos']) + + def D(facts): + kb = FactKB(f) + kb.deduce_all_facts(facts) + return kb + + assert D({'real': T}) == {'real': T} + assert D({'real': F}) == {'real': F, 'pos': F, 'npos': F} + assert D({'pos': T}) == {'real': T, 'pos': T} + assert D({'npos': T}) == {'real': T, 'npos': T} + + # --- key tests below --- + assert D({'pos': F, 'npos': F}) == {'real': F, 'pos': F, 'npos': F} + assert D({'real': T, 'pos': F}) == {'real': T, 'pos': F, 'npos': T} + assert D({'real': T, 'npos': F}) == {'real': T, 'pos': T, 'npos': F} + + assert D({'pos': T, 'npos': F}) == {'real': T, 'pos': T, 'npos': F} + assert D({'pos': F, 'npos': T}) == {'real': T, 'pos': F, 'npos': T} + + +def test_FactRules_deduce_multiple2(): + f = FactRules(['real == neg | zero | pos']) + + def D(facts): + kb = FactKB(f) + kb.deduce_all_facts(facts) + return kb + + assert D({'real': T}) == {'real': T} + assert D({'real': F}) == {'real': F, 'neg': F, 'zero': F, 'pos': F} + assert D({'neg': T}) == {'real': T, 'neg': T} + assert D({'zero': T}) == {'real': T, 'zero': T} + assert D({'pos': T}) == {'real': T, 'pos': T} + + # --- key tests below --- + assert D({'neg': F, 'zero': F, 'pos': F}) == {'real': F, 'neg': F, + 'zero': F, 'pos': F} + assert D({'real': T, 'neg': F}) == {'real': T, 'neg': F} + assert D({'real': T, 'zero': F}) == {'real': T, 'zero': F} + assert D({'real': T, 'pos': F}) == {'real': T, 'pos': F} + + assert D({'real': T, 'zero': F, 'pos': F}) == {'real': T, + 'neg': T, 'zero': F, 'pos': F} + assert D({'real': T, 'neg': F, 'pos': F}) == {'real': T, + 'neg': F, 'zero': T, 'pos': F} + assert D({'real': T, 'neg': F, 'zero': F }) == {'real': T, + 'neg': F, 'zero': F, 'pos': T} + + assert D({'neg': T, 'zero': F, 'pos': F}) == {'real': T, 'neg': T, + 'zero': F, 'pos': F} + assert D({'neg': F, 'zero': T, 'pos': F}) == {'real': T, 'neg': F, + 'zero': T, 'pos': F} + assert D({'neg': F, 'zero': F, 'pos': T}) == {'real': T, 'neg': F, + 'zero': F, 'pos': T} + + +def test_FactRules_deduce_base(): + # deduction that starts from base + + f = FactRules(['real == neg | zero | pos', + 'neg -> real & !zero & !pos', + 'pos -> real & !zero & !neg']) + base = FactKB(f) + + base.deduce_all_facts({'real': T, 'neg': F}) + assert base == {'real': T, 'neg': F} + + base.deduce_all_facts({'zero': F}) + assert base == {'real': T, 'neg': F, 'zero': F, 'pos': T} + + +def test_FactRules_deduce_staticext(): + # verify that static beta-extensions deduction takes place + f = FactRules(['real == neg | zero | pos', + 'neg -> real & !zero & !pos', + 'pos -> real & !zero & !neg', + 'nneg == real & !neg', + 'npos == real & !pos']) + + assert ('npos', True) in f.full_implications[('neg', True)] + assert ('nneg', True) in f.full_implications[('pos', True)] + assert ('nneg', True) in f.full_implications[('zero', True)] + assert ('npos', True) in f.full_implications[('zero', True)] diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_function.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_function.py new file mode 100644 index 0000000000000000000000000000000000000000..a69c6b81b786ab0f0592367eaf402c2165a615dc --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_function.py @@ -0,0 +1,1459 @@ +from sympy.concrete.summations import Sum +from sympy.core.basic import Basic, _aresame +from sympy.core.cache import clear_cache +from sympy.core.containers import Dict, Tuple +from sympy.core.expr import Expr, unchanged +from sympy.core.function import (Subs, Function, diff, Lambda, expand, + nfloat, Derivative) +from sympy.core.numbers import E, Float, zoo, Rational, pi, I, oo, nan +from sympy.core.power import Pow +from sympy.core.relational import Eq +from sympy.core.singleton import S +from sympy.core.symbol import symbols, Dummy, Symbol +from sympy.functions.elementary.complexes import im, re +from sympy.functions.elementary.exponential import log, exp +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.piecewise import Piecewise +from sympy.functions.elementary.trigonometric import sin, cos, acos +from sympy.functions.special.error_functions import expint +from sympy.functions.special.gamma_functions import loggamma, polygamma +from sympy.matrices.dense import Matrix +from sympy.printing.str import sstr +from sympy.series.order import O +from sympy.tensor.indexed import Indexed +from sympy.core.function import (PoleError, _mexpand, arity, + BadSignatureError, BadArgumentsError) +from sympy.core.parameters import _exp_is_pow +from sympy.core.sympify import sympify, SympifyError +from sympy.matrices import MutableMatrix, ImmutableMatrix +from sympy.sets.sets import FiniteSet +from sympy.solvers.solveset import solveset +from sympy.tensor.array import NDimArray +from sympy.utilities.iterables import subsets, variations +from sympy.testing.pytest import XFAIL, raises, warns_deprecated_sympy, _both_exp_pow + +from sympy.abc import t, w, x, y, z +f, g, h = symbols('f g h', cls=Function) +_xi_1, _xi_2, _xi_3 = [Dummy() for i in range(3)] + +def test_f_expand_complex(): + x = Symbol('x', real=True) + + assert f(x).expand(complex=True) == I*im(f(x)) + re(f(x)) + assert exp(x).expand(complex=True) == exp(x) + assert exp(I*x).expand(complex=True) == cos(x) + I*sin(x) + assert exp(z).expand(complex=True) == cos(im(z))*exp(re(z)) + \ + I*sin(im(z))*exp(re(z)) + + +def test_bug1(): + e = sqrt(-log(w)) + assert e.subs(log(w), -x) == sqrt(x) + + e = sqrt(-5*log(w)) + assert e.subs(log(w), -x) == sqrt(5*x) + + +def test_general_function(): + nu = Function('nu') + + e = nu(x) + edx = e.diff(x) + edy = e.diff(y) + edxdx = e.diff(x).diff(x) + edxdy = e.diff(x).diff(y) + assert e == nu(x) + assert edx != nu(x) + assert edx == diff(nu(x), x) + assert edy == 0 + assert edxdx == diff(diff(nu(x), x), x) + assert edxdy == 0 + +def test_general_function_nullary(): + nu = Function('nu') + + e = nu() + edx = e.diff(x) + edxdx = e.diff(x).diff(x) + assert e == nu() + assert edx != nu() + assert edx == 0 + assert edxdx == 0 + + +def test_derivative_subs_bug(): + e = diff(g(x), x) + assert e.subs(g(x), f(x)) != e + assert e.subs(g(x), f(x)) == Derivative(f(x), x) + assert e.subs(g(x), -f(x)) == Derivative(-f(x), x) + + assert e.subs(x, y) == Derivative(g(y), y) + + +def test_derivative_subs_self_bug(): + d = diff(f(x), x) + + assert d.subs(d, y) == y + + +def test_derivative_linearity(): + assert diff(-f(x), x) == -diff(f(x), x) + assert diff(8*f(x), x) == 8*diff(f(x), x) + assert diff(8*f(x), x) != 7*diff(f(x), x) + assert diff(8*f(x)*x, x) == 8*f(x) + 8*x*diff(f(x), x) + assert diff(8*f(x)*y*x, x).expand() == 8*y*f(x) + 8*y*x*diff(f(x), x) + + +def test_derivative_evaluate(): + assert Derivative(sin(x), x) != diff(sin(x), x) + assert Derivative(sin(x), x).doit() == diff(sin(x), x) + + assert Derivative(Derivative(f(x), x), x) == diff(f(x), x, x) + assert Derivative(sin(x), x, 0) == sin(x) + assert Derivative(sin(x), (x, y), (x, -y)) == sin(x) + + +def test_diff_symbols(): + assert diff(f(x, y, z), x, y, z) == Derivative(f(x, y, z), x, y, z) + assert diff(f(x, y, z), x, x, x) == Derivative(f(x, y, z), x, x, x) == Derivative(f(x, y, z), (x, 3)) + assert diff(f(x, y, z), x, 3) == Derivative(f(x, y, z), x, 3) + + # issue 5028 + assert [diff(-z + x/y, sym) for sym in (z, x, y)] == [-1, 1/y, -x/y**2] + assert diff(f(x, y, z), x, y, z, 2) == Derivative(f(x, y, z), x, y, z, z) + assert diff(f(x, y, z), x, y, z, 2, evaluate=False) == \ + Derivative(f(x, y, z), x, y, z, z) + assert Derivative(f(x, y, z), x, y, z)._eval_derivative(z) == \ + Derivative(f(x, y, z), x, y, z, z) + assert Derivative(Derivative(f(x, y, z), x), y)._eval_derivative(z) == \ + Derivative(f(x, y, z), x, y, z) + + raises(TypeError, lambda: cos(x).diff((x, y)).variables) + assert cos(x).diff((x, y))._wrt_variables == [x] + + # issue 23222 + assert sympify("a*x+b").diff("x") == sympify("a") + +def test_Function(): + class myfunc(Function): + @classmethod + def eval(cls): # zero args + return + + assert myfunc.nargs == FiniteSet(0) + assert myfunc().nargs == FiniteSet(0) + raises(TypeError, lambda: myfunc(x).nargs) + + class myfunc(Function): + @classmethod + def eval(cls, x): # one arg + return + + assert myfunc.nargs == FiniteSet(1) + assert myfunc(x).nargs == FiniteSet(1) + raises(TypeError, lambda: myfunc(x, y).nargs) + + class myfunc(Function): + @classmethod + def eval(cls, *x): # star args + return + + assert myfunc.nargs == S.Naturals0 + assert myfunc(x).nargs == S.Naturals0 + + +def test_nargs(): + f = Function('f') + assert f.nargs == S.Naturals0 + assert f(1).nargs == S.Naturals0 + assert Function('f', nargs=2)(1, 2).nargs == FiniteSet(2) + assert sin.nargs == FiniteSet(1) + assert sin(2).nargs == FiniteSet(1) + assert log.nargs == FiniteSet(1, 2) + assert log(2).nargs == FiniteSet(1, 2) + assert Function('f', nargs=2).nargs == FiniteSet(2) + assert Function('f', nargs=0).nargs == FiniteSet(0) + assert Function('f', nargs=(0, 1)).nargs == FiniteSet(0, 1) + assert Function('f', nargs=None).nargs == S.Naturals0 + raises(ValueError, lambda: Function('f', nargs=())) + +def test_nargs_inheritance(): + class f1(Function): + nargs = 2 + class f2(f1): + pass + class f3(f2): + pass + class f4(f3): + nargs = 1,2 + class f5(f4): + pass + class f6(f5): + pass + class f7(f6): + nargs=None + class f8(f7): + pass + class f9(f8): + pass + class f10(f9): + nargs = 1 + class f11(f10): + pass + assert f1.nargs == FiniteSet(2) + assert f2.nargs == FiniteSet(2) + assert f3.nargs == FiniteSet(2) + assert f4.nargs == FiniteSet(1, 2) + assert f5.nargs == FiniteSet(1, 2) + assert f6.nargs == FiniteSet(1, 2) + assert f7.nargs == S.Naturals0 + assert f8.nargs == S.Naturals0 + assert f9.nargs == S.Naturals0 + assert f10.nargs == FiniteSet(1) + assert f11.nargs == FiniteSet(1) + +def test_arity(): + f = lambda x, y: 1 + assert arity(f) == 2 + def f(x, y, z=None): + pass + assert arity(f) == (2, 3) + assert arity(lambda *x: x) is None + assert arity(log) == (1, 2) + + +def test_Lambda(): + e = Lambda(x, x**2) + assert e(4) == 16 + assert e(x) == x**2 + assert e(y) == y**2 + + assert Lambda((), 42)() == 42 + assert unchanged(Lambda, (), 42) + assert Lambda((), 42) != Lambda((), 43) + assert Lambda((), f(x))() == f(x) + assert Lambda((), 42).nargs == FiniteSet(0) + + assert unchanged(Lambda, (x,), x**2) + assert Lambda(x, x**2) == Lambda((x,), x**2) + assert Lambda(x, x**2) != Lambda(x, x**2 + 1) + assert Lambda((x, y), x**y) != Lambda((y, x), y**x) + assert Lambda((x, y), x**y) != Lambda((x, y), y**x) + + assert Lambda((x, y), x**y)(x, y) == x**y + assert Lambda((x, y), x**y)(3, 3) == 3**3 + assert Lambda((x, y), x**y)(x, 3) == x**3 + assert Lambda((x, y), x**y)(3, y) == 3**y + assert Lambda(x, f(x))(x) == f(x) + assert Lambda(x, x**2)(e(x)) == x**4 + assert e(e(x)) == x**4 + + x1, x2 = (Indexed('x', i) for i in (1, 2)) + assert Lambda((x1, x2), x1 + x2)(x, y) == x + y + + assert Lambda((x, y), x + y).nargs == FiniteSet(2) + + p = x, y, z, t + assert Lambda(p, t*(x + y + z))(*p) == t * (x + y + z) + + eq = Lambda(x, 2*x) + Lambda(y, 2*y) + assert eq != 2*Lambda(x, 2*x) + assert eq.as_dummy() == 2*Lambda(x, 2*x).as_dummy() + assert Lambda(x, 2*x) not in [ Lambda(x, x) ] + raises(BadSignatureError, lambda: Lambda(1, x)) + assert Lambda(x, 1)(1) is S.One + + raises(BadSignatureError, lambda: Lambda((x, x), x + 2)) + raises(BadSignatureError, lambda: Lambda(((x, x), y), x)) + raises(BadSignatureError, lambda: Lambda(((y, x), x), x)) + raises(BadSignatureError, lambda: Lambda(((y, 1), 2), x)) + + with warns_deprecated_sympy(): + assert Lambda([x, y], x+y) == Lambda((x, y), x+y) + + flam = Lambda(((x, y),), x + y) + assert flam((2, 3)) == 5 + flam = Lambda(((x, y), z), x + y + z) + assert flam((2, 3), 1) == 6 + flam = Lambda((((x, y), z),), x + y + z) + assert flam(((2, 3), 1)) == 6 + raises(BadArgumentsError, lambda: flam(1, 2, 3)) + flam = Lambda( (x,), (x, x)) + assert flam(1,) == (1, 1) + assert flam((1,)) == ((1,), (1,)) + flam = Lambda( ((x,),), (x, x)) + raises(BadArgumentsError, lambda: flam(1)) + assert flam((1,)) == (1, 1) + + # Previously TypeError was raised so this is potentially needed for + # backwards compatibility. + assert issubclass(BadSignatureError, TypeError) + assert issubclass(BadArgumentsError, TypeError) + + # These are tested to see they don't raise: + hash(Lambda(x, 2*x)) + hash(Lambda(x, x)) # IdentityFunction subclass + + +def test_IdentityFunction(): + assert Lambda(x, x) is Lambda(y, y) is S.IdentityFunction + assert Lambda(x, 2*x) is not S.IdentityFunction + assert Lambda((x, y), x) is not S.IdentityFunction + + +def test_Lambda_symbols(): + assert Lambda(x, 2*x).free_symbols == set() + assert Lambda(x, x*y).free_symbols == {y} + assert Lambda((), 42).free_symbols == set() + assert Lambda((), x*y).free_symbols == {x,y} + + +def test_functionclas_symbols(): + assert f.free_symbols == set() + + +def test_Lambda_arguments(): + raises(TypeError, lambda: Lambda(x, 2*x)(x, y)) + raises(TypeError, lambda: Lambda((x, y), x + y)(x)) + raises(TypeError, lambda: Lambda((), 42)(x)) + + +def test_Lambda_equality(): + assert Lambda((x, y), 2*x) == Lambda((x, y), 2*x) + # these, of course, should never be equal + assert Lambda(x, 2*x) != Lambda((x, y), 2*x) + assert Lambda(x, 2*x) != 2*x + # But it is tempting to want expressions that differ only + # in bound symbols to compare the same. But this is not what + # Python's `==` is intended to do; two objects that compare + # as equal means that they are indistibguishable and cache to the + # same value. We wouldn't want to expression that are + # mathematically the same but written in different variables to be + # interchanged else what is the point of allowing for different + # variable names? + assert Lambda(x, 2*x) != Lambda(y, 2*y) + + +def test_Subs(): + assert Subs(1, (), ()) is S.One + # check null subs influence on hashing + assert Subs(x, y, z) != Subs(x, y, 1) + # neutral subs works + assert Subs(x, x, 1).subs(x, y).has(y) + # self mapping var/point + assert Subs(Derivative(f(x), (x, 2)), x, x).doit() == f(x).diff(x, x) + assert Subs(x, x, 0).has(x) # it's a structural answer + assert not Subs(x, x, 0).free_symbols + assert Subs(Subs(x + y, x, 2), y, 1) == Subs(x + y, (x, y), (2, 1)) + assert Subs(x, (x,), (0,)) == Subs(x, x, 0) + assert Subs(x, x, 0) == Subs(y, y, 0) + assert Subs(x, x, 0).subs(x, 1) == Subs(x, x, 0) + assert Subs(y, x, 0).subs(y, 1) == Subs(1, x, 0) + assert Subs(f(x), x, 0).doit() == f(0) + assert Subs(f(x**2), x**2, 0).doit() == f(0) + assert Subs(f(x, y, z), (x, y, z), (0, 1, 1)) != \ + Subs(f(x, y, z), (x, y, z), (0, 0, 1)) + assert Subs(x, y, 2).subs(x, y).doit() == 2 + assert Subs(f(x, y), (x, y, z), (0, 1, 1)) != \ + Subs(f(x, y) + z, (x, y, z), (0, 1, 0)) + assert Subs(f(x, y), (x, y), (0, 1)).doit() == f(0, 1) + assert Subs(Subs(f(x, y), x, 0), y, 1).doit() == f(0, 1) + raises(ValueError, lambda: Subs(f(x, y), (x, y), (0, 0, 1))) + raises(ValueError, lambda: Subs(f(x, y), (x, x, y), (0, 0, 1))) + + assert len(Subs(f(x, y), (x, y), (0, 1)).variables) == 2 + assert Subs(f(x, y), (x, y), (0, 1)).point == Tuple(0, 1) + + assert Subs(f(x), x, 0) == Subs(f(y), y, 0) + assert Subs(f(x, y), (x, y), (0, 1)) == Subs(f(x, y), (y, x), (1, 0)) + assert Subs(f(x)*y, (x, y), (0, 1)) == Subs(f(y)*x, (y, x), (0, 1)) + assert Subs(f(x)*y, (x, y), (1, 1)) == Subs(f(y)*x, (x, y), (1, 1)) + + assert Subs(f(x), x, 0).subs(x, 1).doit() == f(0) + assert Subs(f(x), x, y).subs(y, 0) == Subs(f(x), x, 0) + assert Subs(y*f(x), x, y).subs(y, 2) == Subs(2*f(x), x, 2) + assert (2 * Subs(f(x), x, 0)).subs(Subs(f(x), x, 0), y) == 2*y + + assert Subs(f(x), x, 0).free_symbols == set() + assert Subs(f(x, y), x, z).free_symbols == {y, z} + + assert Subs(f(x).diff(x), x, 0).doit(), Subs(f(x).diff(x), x, 0) + assert Subs(1 + f(x).diff(x), x, 0).doit(), 1 + Subs(f(x).diff(x), x, 0) + assert Subs(y*f(x, y).diff(x), (x, y), (0, 2)).doit() == \ + 2*Subs(Derivative(f(x, 2), x), x, 0) + assert Subs(y**2*f(x), x, 0).diff(y) == 2*y*f(0) + + e = Subs(y**2*f(x), x, y) + assert e.diff(y) == e.doit().diff(y) == y**2*Derivative(f(y), y) + 2*y*f(y) + + assert Subs(f(x), x, 0) + Subs(f(x), x, 0) == 2*Subs(f(x), x, 0) + e1 = Subs(z*f(x), x, 1) + e2 = Subs(z*f(y), y, 1) + assert e1 + e2 == 2*e1 + assert e1.__hash__() == e2.__hash__() + assert Subs(z*f(x + 1), x, 1) not in [ e1, e2 ] + assert Derivative(f(x), x).subs(x, g(x)) == Derivative(f(g(x)), g(x)) + assert Derivative(f(x), x).subs(x, x + y) == Subs(Derivative(f(x), x), + x, x + y) + assert Subs(f(x)*cos(y) + z, (x, y), (0, pi/3)).n(2) == \ + Subs(f(x)*cos(y) + z, (x, y), (0, pi/3)).evalf(2) == \ + z + Rational('1/2').n(2)*f(0) + + assert f(x).diff(x).subs(x, 0).subs(x, y) == f(x).diff(x).subs(x, 0) + assert (x*f(x).diff(x).subs(x, 0)).subs(x, y) == y*f(x).diff(x).subs(x, 0) + assert Subs(Derivative(g(x)**2, g(x), x), g(x), exp(x) + ).doit() == 2*exp(x) + assert Subs(Derivative(g(x)**2, g(x), x), g(x), exp(x) + ).doit(deep=False) == 2*Derivative(exp(x), x) + assert Derivative(f(x, g(x)), x).doit() == Derivative( + f(x, g(x)), g(x))*Derivative(g(x), x) + Subs(Derivative( + f(y, g(x)), y), y, x) + +def test_doitdoit(): + done = Derivative(f(x, g(x)), x, g(x)).doit() + assert done == done.doit() + + +@XFAIL +def test_Subs2(): + # this reflects a limitation of subs(), probably won't fix + assert Subs(f(x), x**2, x).doit() == f(sqrt(x)) + + +def test_expand_function(): + assert expand(x + y) == x + y + assert expand(x + y, complex=True) == I*im(x) + I*im(y) + re(x) + re(y) + assert expand((x + y)**11, modulus=11) == x**11 + y**11 + + +def test_function_comparable(): + assert sin(x).is_comparable is False + assert cos(x).is_comparable is False + + assert sin(Float('0.1')).is_comparable is True + assert cos(Float('0.1')).is_comparable is True + + assert sin(E).is_comparable is True + assert cos(E).is_comparable is True + + assert sin(Rational(1, 3)).is_comparable is True + assert cos(Rational(1, 3)).is_comparable is True + + +def test_function_comparable_infinities(): + assert sin(oo).is_comparable is False + assert sin(-oo).is_comparable is False + assert sin(zoo).is_comparable is False + assert sin(nan).is_comparable is False + + +def test_deriv1(): + # These all require derivatives evaluated at a point (issue 4719) to work. + # See issue 4624 + assert f(2*x).diff(x) == 2*Subs(Derivative(f(x), x), x, 2*x) + assert (f(x)**3).diff(x) == 3*f(x)**2*f(x).diff(x) + assert (f(2*x)**3).diff(x) == 6*f(2*x)**2*Subs( + Derivative(f(x), x), x, 2*x) + + assert f(2 + x).diff(x) == Subs(Derivative(f(x), x), x, x + 2) + assert f(2 + 3*x).diff(x) == 3*Subs( + Derivative(f(x), x), x, 3*x + 2) + assert f(3*sin(x)).diff(x) == 3*cos(x)*Subs( + Derivative(f(x), x), x, 3*sin(x)) + + # See issue 8510 + assert f(x, x + z).diff(x) == ( + Subs(Derivative(f(y, x + z), y), y, x) + + Subs(Derivative(f(x, y), y), y, x + z)) + assert f(x, x**2).diff(x) == ( + 2*x*Subs(Derivative(f(x, y), y), y, x**2) + + Subs(Derivative(f(y, x**2), y), y, x)) + # but Subs is not always necessary + assert f(x, g(y)).diff(g(y)) == Derivative(f(x, g(y)), g(y)) + + +def test_deriv2(): + assert (x**3).diff(x) == 3*x**2 + assert (x**3).diff(x, evaluate=False) != 3*x**2 + assert (x**3).diff(x, evaluate=False) == Derivative(x**3, x) + + assert diff(x**3, x) == 3*x**2 + assert diff(x**3, x, evaluate=False) != 3*x**2 + assert diff(x**3, x, evaluate=False) == Derivative(x**3, x) + + +def test_func_deriv(): + assert f(x).diff(x) == Derivative(f(x), x) + # issue 4534 + assert f(x, y).diff(x, y) - f(x, y).diff(y, x) == 0 + assert Derivative(f(x, y), x, y).args[1:] == ((x, 1), (y, 1)) + assert Derivative(f(x, y), y, x).args[1:] == ((y, 1), (x, 1)) + assert (Derivative(f(x, y), x, y) - Derivative(f(x, y), y, x)).doit() == 0 + + +def test_suppressed_evaluation(): + a = sin(0, evaluate=False) + assert a != 0 + assert a.func is sin + assert a.args == (0,) + + +def test_function_evalf(): + def eq(a, b, eps): + return abs(a - b) < eps + assert eq(sin(1).evalf(15), Float("0.841470984807897"), 1e-13) + assert eq( + sin(2).evalf(25), Float("0.9092974268256816953960199", 25), 1e-23) + assert eq(sin(1 + I).evalf( + 15), Float("1.29845758141598") + Float("0.634963914784736")*I, 1e-13) + assert eq(exp(1 + I).evalf(15), Float( + "1.46869393991588") + Float("2.28735528717884239")*I, 1e-13) + assert eq(exp(-0.5 + 1.5*I).evalf(15), Float( + "0.0429042815937374") + Float("0.605011292285002")*I, 1e-13) + assert eq(log(pi + sqrt(2)*I).evalf( + 15), Float("1.23699044022052") + Float("0.422985442737893")*I, 1e-13) + assert eq(cos(100).evalf(15), Float("0.86231887228768"), 1e-13) + + +def test_extensibility_eval(): + class MyFunc(Function): + @classmethod + def eval(cls, *args): + return (0, 0, 0) + assert MyFunc(0) == (0, 0, 0) + + +@_both_exp_pow +def test_function_non_commutative(): + x = Symbol('x', commutative=False) + assert f(x).is_commutative is False + assert sin(x).is_commutative is False + assert exp(x).is_commutative is False + assert log(x).is_commutative is False + assert f(x).is_complex is False + assert sin(x).is_complex is False + assert exp(x).is_complex is False + assert log(x).is_complex is False + + +def test_function_complex(): + x = Symbol('x', complex=True) + xzf = Symbol('x', complex=True, zero=False) + assert f(x).is_commutative is True + assert sin(x).is_commutative is True + assert exp(x).is_commutative is True + assert log(x).is_commutative is True + assert f(x).is_complex is None + assert sin(x).is_complex is True + assert exp(x).is_complex is True + assert log(x).is_complex is None + assert log(xzf).is_complex is True + + +def test_function__eval_nseries(): + n = Symbol('n') + + assert sin(x)._eval_nseries(x, 2, None) == x + O(x**2) + assert sin(x + 1)._eval_nseries(x, 2, None) == x*cos(1) + sin(1) + O(x**2) + assert sin(pi*(1 - x))._eval_nseries(x, 2, None) == pi*x + O(x**2) + assert acos(1 - x**2)._eval_nseries(x, 2, None) == sqrt(2)*sqrt(x**2) + O(x**2) + assert polygamma(n, x + 1)._eval_nseries(x, 2, None) == \ + polygamma(n, 1) + polygamma(n + 1, 1)*x + O(x**2) + raises(PoleError, lambda: sin(1/x)._eval_nseries(x, 2, None)) + assert acos(1 - x)._eval_nseries(x, 2, None) == sqrt(2)*sqrt(x) + sqrt(2)*x**(S(3)/2)/12 + O(x**2) + assert acos(1 + x)._eval_nseries(x, 2, None) == sqrt(2)*sqrt(-x) + sqrt(2)*(-x)**(S(3)/2)/12 + O(x**2) + assert loggamma(1/x)._eval_nseries(x, 0, None) == \ + log(x)/2 - log(x)/x - 1/x + O(1, x) + assert loggamma(log(1/x)).nseries(x, n=1, logx=y) == loggamma(-y) + + # issue 6725: + assert expint(Rational(3, 2), -x)._eval_nseries(x, 5, None) == \ + 2 - 2*x - x**2/3 - x**3/15 - x**4/84 - 2*I*sqrt(pi)*sqrt(x) + O(x**5) + assert sin(sqrt(x))._eval_nseries(x, 3, None) == \ + sqrt(x) - x**Rational(3, 2)/6 + x**Rational(5, 2)/120 + O(x**3) + + # issue 19065: + s1 = f(x,y).series(y, n=2) + assert {i.name for i in s1.atoms(Symbol)} == {'x', 'xi', 'y'} + xi = Symbol('xi') + s2 = f(xi, y).series(y, n=2) + assert {i.name for i in s2.atoms(Symbol)} == {'xi', 'xi0', 'y'} + +def test_doit(): + n = Symbol('n', integer=True) + f = Sum(2 * n * x, (n, 1, 3)) + d = Derivative(f, x) + assert d.doit() == 12 + assert d.doit(deep=False) == Sum(2*n, (n, 1, 3)) + + +def test_evalf_default(): + from sympy.functions.special.gamma_functions import polygamma + assert type(sin(4.0)) == Float + assert type(re(sin(I + 1.0))) == Float + assert type(im(sin(I + 1.0))) == Float + assert type(sin(4)) == sin + assert type(polygamma(2.0, 4.0)) == Float + assert type(sin(Rational(1, 4))) == sin + + +def test_issue_5399(): + args = [x, y, S(2), S.Half] + + def ok(a): + """Return True if the input args for diff are ok""" + if not a: + return False + if a[0].is_Symbol is False: + return False + s_at = [i for i in range(len(a)) if a[i].is_Symbol] + n_at = [i for i in range(len(a)) if not a[i].is_Symbol] + # every symbol is followed by symbol or int + # every number is followed by a symbol + return (all(a[i + 1].is_Symbol or a[i + 1].is_Integer + for i in s_at if i + 1 < len(a)) and + all(a[i + 1].is_Symbol + for i in n_at if i + 1 < len(a))) + eq = x**10*y**8 + for a in subsets(args): + for v in variations(a, len(a)): + if ok(v): + eq.diff(*v) # does not raise + else: + raises(ValueError, lambda: eq.diff(*v)) + + +def test_derivative_numerically(): + z0 = x._random() + assert abs(Derivative(sin(x), x).doit_numerically(z0) - cos(z0)) < 1e-15 + + +def test_fdiff_argument_index_error(): + from sympy.core.function import ArgumentIndexError + + class myfunc(Function): + nargs = 1 # define since there is no eval routine + + def fdiff(self, idx): + raise ArgumentIndexError + mf = myfunc(x) + assert mf.diff(x) == Derivative(mf, x) + raises(TypeError, lambda: myfunc(x, x)) + + +def test_deriv_wrt_function(): + x = f(t) + xd = diff(x, t) + xdd = diff(xd, t) + y = g(t) + yd = diff(y, t) + + assert diff(x, t) == xd + assert diff(2 * x + 4, t) == 2 * xd + assert diff(2 * x + 4 + y, t) == 2 * xd + yd + assert diff(2 * x + 4 + y * x, t) == 2 * xd + x * yd + xd * y + assert diff(2 * x + 4 + y * x, x) == 2 + y + assert (diff(4 * x**2 + 3 * x + x * y, t) == 3 * xd + x * yd + xd * y + + 8 * x * xd) + assert (diff(4 * x**2 + 3 * xd + x * y, t) == 3 * xdd + x * yd + xd * y + + 8 * x * xd) + assert diff(4 * x**2 + 3 * xd + x * y, xd) == 3 + assert diff(4 * x**2 + 3 * xd + x * y, xdd) == 0 + assert diff(sin(x), t) == xd * cos(x) + assert diff(exp(x), t) == xd * exp(x) + assert diff(sqrt(x), t) == xd / (2 * sqrt(x)) + + +def test_diff_wrt_value(): + assert Expr()._diff_wrt is False + assert x._diff_wrt is True + assert f(x)._diff_wrt is True + assert Derivative(f(x), x)._diff_wrt is True + assert Derivative(x**2, x)._diff_wrt is False + + +def test_diff_wrt(): + fx = f(x) + dfx = diff(f(x), x) + ddfx = diff(f(x), x, x) + + assert diff(sin(fx) + fx**2, fx) == cos(fx) + 2*fx + assert diff(sin(dfx) + dfx**2, dfx) == cos(dfx) + 2*dfx + assert diff(sin(ddfx) + ddfx**2, ddfx) == cos(ddfx) + 2*ddfx + assert diff(fx**2, dfx) == 0 + assert diff(fx**2, ddfx) == 0 + assert diff(dfx**2, fx) == 0 + assert diff(dfx**2, ddfx) == 0 + assert diff(ddfx**2, dfx) == 0 + + assert diff(fx*dfx*ddfx, fx) == dfx*ddfx + assert diff(fx*dfx*ddfx, dfx) == fx*ddfx + assert diff(fx*dfx*ddfx, ddfx) == fx*dfx + + assert diff(f(x), x).diff(f(x)) == 0 + assert (sin(f(x)) - cos(diff(f(x), x))).diff(f(x)) == cos(f(x)) + + assert diff(sin(fx), fx, x) == diff(sin(fx), x, fx) + + # Chain rule cases + assert f(g(x)).diff(x) == \ + Derivative(g(x), x)*Derivative(f(g(x)), g(x)) + assert diff(f(g(x), h(y)), x) == \ + Derivative(g(x), x)*Derivative(f(g(x), h(y)), g(x)) + assert diff(f(g(x), h(x)), x) == ( + Derivative(f(g(x), h(x)), g(x))*Derivative(g(x), x) + + Derivative(f(g(x), h(x)), h(x))*Derivative(h(x), x)) + assert f( + sin(x)).diff(x) == cos(x)*Subs(Derivative(f(x), x), x, sin(x)) + + assert diff(f(g(x)), g(x)) == Derivative(f(g(x)), g(x)) + + +def test_diff_wrt_func_subs(): + assert f(g(x)).diff(x).subs(g, Lambda(x, 2*x)).doit() == f(2*x).diff(x) + + +def test_subs_in_derivative(): + expr = sin(x*exp(y)) + u = Function('u') + v = Function('v') + assert Derivative(expr, y).subs(expr, y) == Derivative(y, y) + assert Derivative(expr, y).subs(y, x).doit() == \ + Derivative(expr, y).doit().subs(y, x) + assert Derivative(f(x, y), y).subs(y, x) == Subs(Derivative(f(x, y), y), y, x) + assert Derivative(f(x, y), y).subs(x, y) == Subs(Derivative(f(x, y), y), x, y) + assert Derivative(f(x, y), y).subs(y, g(x, y)) == Subs(Derivative(f(x, y), y), y, g(x, y)).doit() + assert Derivative(f(x, y), y).subs(x, g(x, y)) == Subs(Derivative(f(x, y), y), x, g(x, y)) + assert Derivative(f(x, y), g(y)).subs(x, g(x, y)) == Derivative(f(g(x, y), y), g(y)) + assert Derivative(f(u(x), h(y)), h(y)).subs(h(y), g(x, y)) == \ + Subs(Derivative(f(u(x), h(y)), h(y)), h(y), g(x, y)).doit() + assert Derivative(f(x, y), y).subs(y, z) == Derivative(f(x, z), z) + assert Derivative(f(x, y), y).subs(y, g(y)) == Derivative(f(x, g(y)), g(y)) + assert Derivative(f(g(x), h(y)), h(y)).subs(h(y), u(y)) == \ + Derivative(f(g(x), u(y)), u(y)) + assert Derivative(f(x, f(x, x)), f(x, x)).subs( + f, Lambda((x, y), x + y)) == Subs( + Derivative(z + x, z), z, 2*x) + assert Subs(Derivative(f(f(x)), x), f, cos).doit() == sin(x)*sin(cos(x)) + assert Subs(Derivative(f(f(x)), f(x)), f, cos).doit() == -sin(cos(x)) + # Issue 13791. No comparison (it's a long formula) but this used to raise an exception. + assert isinstance(v(x, y, u(x, y)).diff(y).diff(x).diff(y), Expr) + # This is also related to issues 13791 and 13795; issue 15190 + F = Lambda((x, y), exp(2*x + 3*y)) + abstract = f(x, f(x, x)).diff(x, 2) + concrete = F(x, F(x, x)).diff(x, 2) + assert (abstract.subs(f, F).doit() - concrete).simplify() == 0 + # don't introduce a new symbol if not necessary + assert x in f(x).diff(x).subs(x, 0).atoms() + # case (4) + assert Derivative(f(x,f(x,y)), x, y).subs(x, g(y) + ) == Subs(Derivative(f(x, f(x, y)), x, y), x, g(y)) + + assert Derivative(f(x, x), x).subs(x, 0 + ) == Subs(Derivative(f(x, x), x), x, 0) + # issue 15194 + assert Derivative(f(y, g(x)), (x, z)).subs(z, x + ) == Derivative(f(y, g(x)), (x, x)) + + df = f(x).diff(x) + assert df.subs(df, 1) is S.One + assert df.diff(df) is S.One + dxy = Derivative(f(x, y), x, y) + dyx = Derivative(f(x, y), y, x) + assert dxy.subs(Derivative(f(x, y), y, x), 1) is S.One + assert dxy.diff(dyx) is S.One + assert Derivative(f(x, y), x, 2, y, 3).subs( + dyx, g(x, y)) == Derivative(g(x, y), x, 1, y, 2) + assert Derivative(f(x, x - y), y).subs(x, x + y) == Subs( + Derivative(f(x, x - y), y), x, x + y) + + +def test_diff_wrt_not_allowed(): + # issue 7027 included + for wrt in ( + cos(x), re(x), x**2, x*y, 1 + x, + Derivative(cos(x), x), Derivative(f(f(x)), x)): + raises(ValueError, lambda: diff(f(x), wrt)) + # if we don't differentiate wrt then don't raise error + assert diff(exp(x*y), x*y, 0) == exp(x*y) + + +def test_diff_wrt_intlike(): + class Two: + def __int__(self): + return 2 + + assert cos(x).diff(x, Two()) == -cos(x) + + +def test_klein_gordon_lagrangian(): + m = Symbol('m') + phi = f(x, t) + + L = -(diff(phi, t)**2 - diff(phi, x)**2 - m**2*phi**2)/2 + eqna = Eq( + diff(L, phi) - diff(L, diff(phi, x), x) - diff(L, diff(phi, t), t), 0) + eqnb = Eq(diff(phi, t, t) - diff(phi, x, x) + m**2*phi, 0) + assert eqna == eqnb + + +def test_sho_lagrangian(): + m = Symbol('m') + k = Symbol('k') + x = f(t) + + L = m*diff(x, t)**2/2 - k*x**2/2 + eqna = Eq(diff(L, x), diff(L, diff(x, t), t)) + eqnb = Eq(-k*x, m*diff(x, t, t)) + assert eqna == eqnb + + assert diff(L, x, t) == diff(L, t, x) + assert diff(L, diff(x, t), t) == m*diff(x, t, 2) + assert diff(L, t, diff(x, t)) == -k*x + m*diff(x, t, 2) + + +def test_straight_line(): + F = f(x) + Fd = F.diff(x) + L = sqrt(1 + Fd**2) + assert diff(L, F) == 0 + assert diff(L, Fd) == Fd/sqrt(1 + Fd**2) + + +def test_sort_variable(): + vsort = Derivative._sort_variable_count + def vsort0(*v, reverse=False): + return [i[0] for i in vsort([(i, 0) for i in ( + reversed(v) if reverse else v)])] + + for R in range(2): + assert vsort0(y, x, reverse=R) == [x, y] + assert vsort0(f(x), x, reverse=R) == [x, f(x)] + assert vsort0(f(y), f(x), reverse=R) == [f(x), f(y)] + assert vsort0(g(x), f(y), reverse=R) == [f(y), g(x)] + assert vsort0(f(x, y), f(x), reverse=R) == [f(x), f(x, y)] + fx = f(x).diff(x) + assert vsort0(fx, y, reverse=R) == [y, fx] + fy = f(y).diff(y) + assert vsort0(fy, fx, reverse=R) == [fx, fy] + fxx = fx.diff(x) + assert vsort0(fxx, fx, reverse=R) == [fx, fxx] + assert vsort0(Basic(x), f(x), reverse=R) == [f(x), Basic(x)] + assert vsort0(Basic(y), Basic(x), reverse=R) == [Basic(x), Basic(y)] + assert vsort0(Basic(y, z), Basic(x), reverse=R) == [ + Basic(x), Basic(y, z)] + assert vsort0(fx, x, reverse=R) == [ + x, fx] if R else [fx, x] + assert vsort0(Basic(x), x, reverse=R) == [ + x, Basic(x)] if R else [Basic(x), x] + assert vsort0(Basic(f(x)), f(x), reverse=R) == [ + f(x), Basic(f(x))] if R else [Basic(f(x)), f(x)] + assert vsort0(Basic(x, z), Basic(x), reverse=R) == [ + Basic(x), Basic(x, z)] if R else [Basic(x, z), Basic(x)] + assert vsort([]) == [] + assert _aresame(vsort([(x, 1)]), [Tuple(x, 1)]) + assert vsort([(x, y), (x, z)]) == [(x, y + z)] + assert vsort([(y, 1), (x, 1 + y)]) == [(x, 1 + y), (y, 1)] + # coverage complete; legacy tests below + assert vsort([(x, 3), (y, 2), (z, 1)]) == [(x, 3), (y, 2), (z, 1)] + assert vsort([(h(x), 1), (g(x), 1), (f(x), 1)]) == [ + (f(x), 1), (g(x), 1), (h(x), 1)] + assert vsort([(z, 1), (y, 2), (x, 3), (h(x), 1), (g(x), 1), + (f(x), 1)]) == [(x, 3), (y, 2), (z, 1), (f(x), 1), (g(x), 1), + (h(x), 1)] + assert vsort([(x, 1), (f(x), 1), (y, 1), (f(y), 1)]) == [(x, 1), + (y, 1), (f(x), 1), (f(y), 1)] + assert vsort([(y, 1), (x, 2), (g(x), 1), (f(x), 1), (z, 1), + (h(x), 1), (y, 2), (x, 1)]) == [(x, 3), (y, 3), (z, 1), + (f(x), 1), (g(x), 1), (h(x), 1)] + assert vsort([(z, 1), (y, 1), (f(x), 1), (x, 1), (f(x), 1), + (g(x), 1)]) == [(x, 1), (y, 1), (z, 1), (f(x), 2), (g(x), 1)] + assert vsort([(z, 1), (y, 2), (f(x), 1), (x, 2), (f(x), 2), + (g(x), 1), (z, 2), (z, 1), (y, 1), (x, 1)]) == [(x, 3), (y, 3), + (z, 4), (f(x), 3), (g(x), 1)] + assert vsort(((y, 2), (x, 1), (y, 1), (x, 1))) == [(x, 2), (y, 3)] + assert isinstance(vsort([(x, 3), (y, 2), (z, 1)])[0], Tuple) + assert vsort([(x, 1), (f(x), 1), (x, 1)]) == [(x, 2), (f(x), 1)] + assert vsort([(y, 2), (x, 3), (z, 1)]) == [(x, 3), (y, 2), (z, 1)] + assert vsort([(h(y), 1), (g(x), 1), (f(x), 1)]) == [ + (f(x), 1), (g(x), 1), (h(y), 1)] + assert vsort([(x, 1), (y, 1), (x, 1)]) == [(x, 2), (y, 1)] + assert vsort([(f(x), 1), (f(y), 1), (f(x), 1)]) == [ + (f(x), 2), (f(y), 1)] + dfx = f(x).diff(x) + self = [(dfx, 1), (x, 1)] + assert vsort(self) == self + assert vsort([ + (dfx, 1), (y, 1), (f(x), 1), (x, 1), (f(y), 1), (x, 1)]) == [ + (y, 1), (f(x), 1), (f(y), 1), (dfx, 1), (x, 2)] + dfy = f(y).diff(y) + assert vsort([(dfy, 1), (dfx, 1)]) == [(dfx, 1), (dfy, 1)] + d2fx = dfx.diff(x) + assert vsort([(d2fx, 1), (dfx, 1)]) == [(dfx, 1), (d2fx, 1)] + + +def test_multiple_derivative(): + # Issue #15007 + assert f(x, y).diff(y, y, x, y, x + ) == Derivative(f(x, y), (x, 2), (y, 3)) + + +def test_unhandled(): + class MyExpr(Expr): + def _eval_derivative(self, s): + if not s.name.startswith('xi'): + return self + else: + return None + + eq = MyExpr(f(x), y, z) + assert diff(eq, x, y, f(x), z) == Derivative(eq, f(x)) + assert diff(eq, f(x), x) == Derivative(eq, f(x)) + assert f(x, y).diff(x,(y, z)) == Derivative(f(x, y), x, (y, z)) + assert f(x, y).diff(x,(y, 0)) == Derivative(f(x, y), x) + + +def test_nfloat(): + from sympy.core.basic import _aresame + from sympy.polys.rootoftools import rootof + + x = Symbol("x") + eq = x**Rational(4, 3) + 4*x**(S.One/3)/3 + assert _aresame(nfloat(eq), x**Rational(4, 3) + (4.0/3)*x**(S.One/3)) + assert _aresame(nfloat(eq, exponent=True), x**(4.0/3) + (4.0/3)*x**(1.0/3)) + eq = x**Rational(4, 3) + 4*x**(x/3)/3 + assert _aresame(nfloat(eq), x**Rational(4, 3) + (4.0/3)*x**(x/3)) + big = 12345678901234567890 + # specify precision to match value used in nfloat + Float_big = Float(big, 15) + assert _aresame(nfloat(big), Float_big) + assert _aresame(nfloat(big*x), Float_big*x) + assert _aresame(nfloat(x**big, exponent=True), x**Float_big) + assert nfloat(cos(x + sqrt(2))) == cos(x + nfloat(sqrt(2))) + + # issue 6342 + f = S('x*lamda + lamda**3*(x/2 + 1/2) + lamda**2 + 1/4') + assert not any(a.free_symbols for a in solveset(f.subs(x, -0.139))) + + # issue 6632 + assert nfloat(-100000*sqrt(2500000001) + 5000000001) == \ + 9.99999999800000e-11 + + # issue 7122 + eq = cos(3*x**4 + y)*rootof(x**5 + 3*x**3 + 1, 0) + assert str(nfloat(eq, exponent=False, n=1)) == '-0.7*cos(3.0*x**4 + y)' + + # issue 10933 + for ti in (dict, Dict): + d = ti({S.Half: S.Half}) + n = nfloat(d) + assert isinstance(n, ti) + assert _aresame(list(n.items()).pop(), (S.Half, Float(.5))) + for ti in (dict, Dict): + d = ti({S.Half: S.Half}) + n = nfloat(d, dkeys=True) + assert isinstance(n, ti) + assert _aresame(list(n.items()).pop(), (Float(.5), Float(.5))) + d = [S.Half] + n = nfloat(d) + assert type(n) is list + assert _aresame(n[0], Float(.5)) + assert _aresame(nfloat(Eq(x, S.Half)).rhs, Float(.5)) + assert _aresame(nfloat(S(True)), S(True)) + assert _aresame(nfloat(Tuple(S.Half))[0], Float(.5)) + assert nfloat(Eq((3 - I)**2/2 + I, 0)) == S.false + # pass along kwargs + assert nfloat([{S.Half: x}], dkeys=True) == [{Float(0.5): x}] + + # Issue 17706 + A = MutableMatrix([[1, 2], [3, 4]]) + B = MutableMatrix( + [[Float('1.0', precision=53), Float('2.0', precision=53)], + [Float('3.0', precision=53), Float('4.0', precision=53)]]) + assert _aresame(nfloat(A), B) + A = ImmutableMatrix([[1, 2], [3, 4]]) + B = ImmutableMatrix( + [[Float('1.0', precision=53), Float('2.0', precision=53)], + [Float('3.0', precision=53), Float('4.0', precision=53)]]) + assert _aresame(nfloat(A), B) + + # issue 22524 + f = Function('f') + assert not nfloat(f(2)).atoms(Float) + + +def test_issue_7068(): + from sympy.abc import a, b + f = Function('f') + y1 = Dummy('y') + y2 = Dummy('y') + func1 = f(a + y1 * b) + func2 = f(a + y2 * b) + func1_y = func1.diff(y1) + func2_y = func2.diff(y2) + assert func1_y != func2_y + z1 = Subs(f(a), a, y1) + z2 = Subs(f(a), a, y2) + assert z1 != z2 + + +def test_issue_7231(): + from sympy.abc import a + ans1 = f(x).series(x, a) + res = (f(a) + (-a + x)*Subs(Derivative(f(y), y), y, a) + + (-a + x)**2*Subs(Derivative(f(y), y, y), y, a)/2 + + (-a + x)**3*Subs(Derivative(f(y), y, y, y), + y, a)/6 + + (-a + x)**4*Subs(Derivative(f(y), y, y, y, y), + y, a)/24 + + (-a + x)**5*Subs(Derivative(f(y), y, y, y, y, y), + y, a)/120 + O((-a + x)**6, (x, a))) + assert res == ans1 + ans2 = f(x).series(x, a) + assert res == ans2 + + +def test_issue_7687(): + from sympy.core.function import Function + from sympy.abc import x + f = Function('f')(x) + ff = Function('f')(x) + match_with_cache = ff.matches(f) + assert isinstance(f, type(ff)) + clear_cache() + ff = Function('f')(x) + assert isinstance(f, type(ff)) + assert match_with_cache == ff.matches(f) + + +def test_issue_7688(): + from sympy.core.function import Function, UndefinedFunction + + f = Function('f') # actually an UndefinedFunction + clear_cache() + class A(UndefinedFunction): + pass + a = A('f') + assert isinstance(a, type(f)) + + +def test_mexpand(): + from sympy.abc import x + assert _mexpand(None) is None + assert _mexpand(1) is S.One + assert _mexpand(x*(x + 1)**2) == (x*(x + 1)**2).expand() + + +def test_issue_8469(): + # This should not take forever to run + N = 40 + def g(w, theta): + return 1/(1+exp(w-theta)) + + ws = symbols(['w%i'%i for i in range(N)]) + import functools + expr = functools.reduce(g, ws) + assert isinstance(expr, Pow) + + +def test_issue_12996(): + # foo=True imitates the sort of arguments that Derivative can get + # from Integral when it passes doit to the expression + assert Derivative(im(x), x).doit(foo=True) == Derivative(im(x), x) + + +def test_should_evalf(): + # This should not take forever to run (see #8506) + assert isinstance(sin((1.0 + 1.0*I)**10000 + 1), sin) + + +def test_Derivative_as_finite_difference(): + # Central 1st derivative at gridpoint + x, h = symbols('x h', real=True) + dfdx = f(x).diff(x) + assert (dfdx.as_finite_difference([x-2, x-1, x, x+1, x+2]) - + (S.One/12*(f(x-2)-f(x+2)) + Rational(2, 3)*(f(x+1)-f(x-1)))).simplify() == 0 + + # Central 1st derivative "half-way" + assert (dfdx.as_finite_difference() - + (f(x + S.Half)-f(x - S.Half))).simplify() == 0 + assert (dfdx.as_finite_difference(h) - + (f(x + h/S(2))-f(x - h/S(2)))/h).simplify() == 0 + assert (dfdx.as_finite_difference([x - 3*h, x-h, x+h, x + 3*h]) - + (S(9)/(8*2*h)*(f(x+h) - f(x-h)) + + S.One/(24*2*h)*(f(x - 3*h) - f(x + 3*h)))).simplify() == 0 + + # One sided 1st derivative at gridpoint + assert (dfdx.as_finite_difference([0, 1, 2], 0) - + (Rational(-3, 2)*f(0) + 2*f(1) - f(2)/2)).simplify() == 0 + assert (dfdx.as_finite_difference([x, x+h], x) - + (f(x+h) - f(x))/h).simplify() == 0 + assert (dfdx.as_finite_difference([x-h, x, x+h], x-h) - + (-S(3)/(2*h)*f(x-h) + 2/h*f(x) - + S.One/(2*h)*f(x+h))).simplify() == 0 + + # One sided 1st derivative "half-way" + assert (dfdx.as_finite_difference([x-h, x+h, x + 3*h, x + 5*h, x + 7*h]) + - 1/(2*h)*(-S(11)/(12)*f(x-h) + S(17)/(24)*f(x+h) + + Rational(3, 8)*f(x + 3*h) - Rational(5, 24)*f(x + 5*h) + + S.One/24*f(x + 7*h))).simplify() == 0 + + d2fdx2 = f(x).diff(x, 2) + # Central 2nd derivative at gridpoint + assert (d2fdx2.as_finite_difference([x-h, x, x+h]) - + h**-2 * (f(x-h) + f(x+h) - 2*f(x))).simplify() == 0 + + assert (d2fdx2.as_finite_difference([x - 2*h, x-h, x, x+h, x + 2*h]) - + h**-2 * (Rational(-1, 12)*(f(x - 2*h) + f(x + 2*h)) + + Rational(4, 3)*(f(x+h) + f(x-h)) - Rational(5, 2)*f(x))).simplify() == 0 + + # Central 2nd derivative "half-way" + assert (d2fdx2.as_finite_difference([x - 3*h, x-h, x+h, x + 3*h]) - + (2*h)**-2 * (S.Half*(f(x - 3*h) + f(x + 3*h)) - + S.Half*(f(x+h) + f(x-h)))).simplify() == 0 + + # One sided 2nd derivative at gridpoint + assert (d2fdx2.as_finite_difference([x, x+h, x + 2*h, x + 3*h]) - + h**-2 * (2*f(x) - 5*f(x+h) + + 4*f(x+2*h) - f(x+3*h))).simplify() == 0 + + # One sided 2nd derivative at "half-way" + assert (d2fdx2.as_finite_difference([x-h, x+h, x + 3*h, x + 5*h]) - + (2*h)**-2 * (Rational(3, 2)*f(x-h) - Rational(7, 2)*f(x+h) + Rational(5, 2)*f(x + 3*h) - + S.Half*f(x + 5*h))).simplify() == 0 + + d3fdx3 = f(x).diff(x, 3) + # Central 3rd derivative at gridpoint + assert (d3fdx3.as_finite_difference() - + (-f(x - Rational(3, 2)) + 3*f(x - S.Half) - + 3*f(x + S.Half) + f(x + Rational(3, 2)))).simplify() == 0 + + assert (d3fdx3.as_finite_difference( + [x - 3*h, x - 2*h, x-h, x, x+h, x + 2*h, x + 3*h]) - + h**-3 * (S.One/8*(f(x - 3*h) - f(x + 3*h)) - f(x - 2*h) + + f(x + 2*h) + Rational(13, 8)*(f(x-h) - f(x+h)))).simplify() == 0 + + # Central 3rd derivative at "half-way" + assert (d3fdx3.as_finite_difference([x - 3*h, x-h, x+h, x + 3*h]) - + (2*h)**-3 * (f(x + 3*h)-f(x - 3*h) + + 3*(f(x-h)-f(x+h)))).simplify() == 0 + + # One sided 3rd derivative at gridpoint + assert (d3fdx3.as_finite_difference([x, x+h, x + 2*h, x + 3*h]) - + h**-3 * (f(x + 3*h)-f(x) + 3*(f(x+h)-f(x + 2*h)))).simplify() == 0 + + # One sided 3rd derivative at "half-way" + assert (d3fdx3.as_finite_difference([x-h, x+h, x + 3*h, x + 5*h]) - + (2*h)**-3 * (f(x + 5*h)-f(x-h) + + 3*(f(x+h)-f(x + 3*h)))).simplify() == 0 + + # issue 11007 + y = Symbol('y', real=True) + d2fdxdy = f(x, y).diff(x, y) + + ref0 = Derivative(f(x + S.Half, y), y) - Derivative(f(x - S.Half, y), y) + assert (d2fdxdy.as_finite_difference(wrt=x) - ref0).simplify() == 0 + + half = S.Half + xm, xp, ym, yp = x-half, x+half, y-half, y+half + ref2 = f(xm, ym) + f(xp, yp) - f(xp, ym) - f(xm, yp) + assert (d2fdxdy.as_finite_difference() - ref2).simplify() == 0 + + +def test_issue_11159(): + # Tests Application._eval_subs + with _exp_is_pow(False): + expr1 = E + expr0 = expr1 * expr1 + expr1 = expr0.subs(expr1,expr0) + assert expr0 == expr1 + with _exp_is_pow(True): + expr1 = E + expr0 = expr1 * expr1 + expr2 = expr0.subs(expr1, expr0) + assert expr2 == E ** 4 + + +def test_issue_12005(): + e1 = Subs(Derivative(f(x), x), x, x) + assert e1.diff(x) == Derivative(f(x), x, x) + e2 = Subs(Derivative(f(x), x), x, x**2 + 1) + assert e2.diff(x) == 2*x*Subs(Derivative(f(x), x, x), x, x**2 + 1) + e3 = Subs(Derivative(f(x) + y**2 - y, y), y, y**2) + assert e3.diff(y) == 4*y + e4 = Subs(Derivative(f(x + y), y), y, (x**2)) + assert e4.diff(y) is S.Zero + e5 = Subs(Derivative(f(x), x), (y, z), (y, z)) + assert e5.diff(x) == Derivative(f(x), x, x) + assert f(g(x)).diff(g(x), g(x)) == Derivative(f(g(x)), g(x), g(x)) + + +def test_issue_13843(): + x = symbols('x') + f = Function('f') + m, n = symbols('m n', integer=True) + assert Derivative(Derivative(f(x), (x, m)), (x, n)) == Derivative(f(x), (x, m + n)) + assert Derivative(Derivative(f(x), (x, m+5)), (x, n+3)) == Derivative(f(x), (x, m + n + 8)) + + assert Derivative(f(x), (x, n)).doit() == Derivative(f(x), (x, n)) + + +def test_order_could_be_zero(): + x, y = symbols('x, y') + n = symbols('n', integer=True, nonnegative=True) + m = symbols('m', integer=True, positive=True) + assert diff(y, (x, n)) == Piecewise((y, Eq(n, 0)), (0, True)) + assert diff(y, (x, n + 1)) is S.Zero + assert diff(y, (x, m)) is S.Zero + + +def test_undefined_function_eq(): + f = Function('f') + f2 = Function('f') + g = Function('g') + f_real = Function('f', is_real=True) + + # This test may only be meaningful if the cache is turned off + assert f == f2 + assert hash(f) == hash(f2) + assert f == f + + assert f != g + + assert f != f_real + + +def test_function_assumptions(): + x = Symbol('x') + f = Function('f') + f_real = Function('f', real=True) + f_real1 = Function('f', real=1) + f_real_inherit = Function(Symbol('f', real=True)) + + assert f_real == f_real1 # assumptions are sanitized + assert f != f_real + assert f(x) != f_real(x) + + assert f(x).is_real is None + assert f_real(x).is_real is True + assert f_real_inherit(x).is_real is True and f_real_inherit.name == 'f' + + # Can also do it this way, but it won't be equal to f_real because of the + # way UndefinedFunction.__new__ works. Any non-recognized assumptions + # are just added literally as something which is used in the hash + f_real2 = Function('f', is_real=True) + assert f_real2(x).is_real is True + + +def test_undef_fcn_float_issue_6938(): + f = Function('ceil') + assert not f(0.3).is_number + f = Function('sin') + assert not f(0.3).is_number + assert not f(pi).evalf().is_number + x = Symbol('x') + assert not f(x).evalf(subs={x:1.2}).is_number + + +def test_undefined_function_eval(): + # Issue 15170. Make sure UndefinedFunction with eval defined works + # properly. + + fdiff = lambda self, argindex=1: cos(self.args[argindex - 1]) + eval = classmethod(lambda cls, t: None) + _imp_ = classmethod(lambda cls, t: sin(t)) + + temp = Function('temp', fdiff=fdiff, eval=eval, _imp_=_imp_) + + expr = temp(t) + assert sympify(expr) == expr + assert type(sympify(expr)).fdiff.__name__ == "" + assert expr.diff(t) == cos(t) + + +def test_issue_15241(): + F = f(x) + Fx = F.diff(x) + assert (F + x*Fx).diff(x, Fx) == 2 + assert (F + x*Fx).diff(Fx, x) == 1 + assert (x*F + x*Fx*F).diff(F, x) == x*Fx.diff(x) + Fx + 1 + assert (x*F + x*Fx*F).diff(x, F) == x*Fx.diff(x) + Fx + 1 + y = f(x) + G = f(y) + Gy = G.diff(y) + assert (G + y*Gy).diff(y, Gy) == 2 + assert (G + y*Gy).diff(Gy, y) == 1 + assert (y*G + y*Gy*G).diff(G, y) == y*Gy.diff(y) + Gy + 1 + assert (y*G + y*Gy*G).diff(y, G) == y*Gy.diff(y) + Gy + 1 + + +def test_issue_15226(): + assert Subs(Derivative(f(y), x, y), y, g(x)).doit() != 0 + + +def test_issue_7027(): + for wrt in (cos(x), re(x), Derivative(cos(x), x)): + raises(ValueError, lambda: diff(f(x), wrt)) + + +def test_derivative_quick_exit(): + assert f(x).diff(y) == 0 + assert f(x).diff(y, f(x)) == 0 + assert f(x).diff(x, f(y)) == 0 + assert f(f(x)).diff(x, f(x), f(y)) == 0 + assert f(f(x)).diff(x, f(x), y) == 0 + assert f(x).diff(g(x)) == 0 + assert f(x).diff(x, f(x).diff(x)) == 1 + df = f(x).diff(x) + assert f(x).diff(df) == 0 + dg = g(x).diff(x) + assert dg.diff(df).doit() == 0 + + +def test_issue_15084_13166(): + eq = f(x, g(x)) + assert eq.diff((g(x), y)) == Derivative(f(x, g(x)), (g(x), y)) + # issue 13166 + assert eq.diff(x, 2).doit() == ( + (Derivative(f(x, g(x)), (g(x), 2))*Derivative(g(x), x) + + Subs(Derivative(f(x, _xi_2), _xi_2, x), _xi_2, g(x)))*Derivative(g(x), + x) + Derivative(f(x, g(x)), g(x))*Derivative(g(x), (x, 2)) + + Derivative(g(x), x)*Subs(Derivative(f(_xi_1, g(x)), _xi_1, g(x)), + _xi_1, x) + Subs(Derivative(f(_xi_1, g(x)), (_xi_1, 2)), _xi_1, x)) + # issue 6681 + assert diff(f(x, t, g(x, t)), x).doit() == ( + Derivative(f(x, t, g(x, t)), g(x, t))*Derivative(g(x, t), x) + + Subs(Derivative(f(_xi_1, t, g(x, t)), _xi_1), _xi_1, x)) + # make sure the order doesn't matter when using diff + assert eq.diff(x, g(x)) == eq.diff(g(x), x) + + +def test_negative_counts(): + # issue 13873 + raises(ValueError, lambda: sin(x).diff(x, -1)) + + +def test_Derivative__new__(): + raises(TypeError, lambda: f(x).diff((x, 2), 0)) + assert f(x, y).diff([(x, y), 0]) == f(x, y) + assert f(x, y).diff([(x, y), 1]) == NDimArray([ + Derivative(f(x, y), x), Derivative(f(x, y), y)]) + assert f(x,y).diff(y, (x, z), y, x) == Derivative( + f(x, y), (x, z + 1), (y, 2)) + assert Matrix([x]).diff(x, 2) == Matrix([0]) # is_zero exit + + +def test_issue_14719_10150(): + class V(Expr): + _diff_wrt = True + is_scalar = False + assert V().diff(V()) == Derivative(V(), V()) + assert (2*V()).diff(V()) == 2*Derivative(V(), V()) + class X(Expr): + _diff_wrt = True + assert X().diff(X()) == 1 + assert (2*X()).diff(X()) == 2 + + +def test_noncommutative_issue_15131(): + x = Symbol('x', commutative=False) + t = Symbol('t', commutative=False) + fx = Function('Fx', commutative=False)(x) + ft = Function('Ft', commutative=False)(t) + A = Symbol('A', commutative=False) + eq = fx * A * ft + eqdt = eq.diff(t) + assert eqdt.args[-1] == ft.diff(t) + + +def test_Subs_Derivative(): + a = Derivative(f(g(x), h(x)), g(x), h(x),x) + b = Derivative(Derivative(f(g(x), h(x)), g(x), h(x)),x) + c = f(g(x), h(x)).diff(g(x), h(x), x) + d = f(g(x), h(x)).diff(g(x), h(x)).diff(x) + e = Derivative(f(g(x), h(x)), x) + eqs = (a, b, c, d, e) + subs = lambda arg: arg.subs(f, Lambda((x, y), exp(x + y)) + ).subs(g(x), 1/x).subs(h(x), x**3) + ans = 3*x**2*exp(1/x)*exp(x**3) - exp(1/x)*exp(x**3)/x**2 + assert all(subs(i).doit().expand() == ans for i in eqs) + assert all(subs(i.doit()).doit().expand() == ans for i in eqs) + +def test_issue_15360(): + f = Function('f') + assert f.name == 'f' + + +def test_issue_15947(): + assert f._diff_wrt is False + raises(TypeError, lambda: f(f)) + raises(TypeError, lambda: f(x).diff(f)) + + +def test_Derivative_free_symbols(): + f = Function('f') + n = Symbol('n', integer=True, positive=True) + assert diff(f(x), (x, n)).free_symbols == {n, x} + + +def test_issue_20683(): + x = Symbol('x') + y = Symbol('y') + z = Symbol('z') + y = Derivative(z, x).subs(x,0) + assert y.doit() == 0 + y = Derivative(8, x).subs(x,0) + assert y.doit() == 0 + + +def test_issue_10503(): + f = exp(x**3)*cos(x**6) + assert f.series(x, 0, 14) == 1 + x**3 + x**6/2 + x**9/6 - 11*x**12/24 + O(x**14) + + +def test_issue_17382(): + # copied from sympy/core/tests/test_evalf.py + def NS(e, n=15, **options): + return sstr(sympify(e).evalf(n, **options), full_prec=True) + + x = Symbol('x') + expr = solveset(2 * cos(x) * cos(2 * x) - 1, x, S.Reals) + expected = "Union(" \ + "ImageSet(Lambda(_n, 6.28318530717959*_n + 5.79812359592087), Integers), " \ + "ImageSet(Lambda(_n, 6.28318530717959*_n + 0.485061711258717), Integers))" + assert NS(expr) == expected + +def test_eval_sympified(): + # Check both arguments and return types from eval are sympified + + class F(Function): + @classmethod + def eval(cls, x): + assert x is S.One + return 1 + + assert F(1) is S.One + + # String arguments are not allowed + class F2(Function): + @classmethod + def eval(cls, x): + if x == 0: + return '1' + + raises(SympifyError, lambda: F2(0)) + F2(1) # Doesn't raise + + # TODO: Disable string inputs (https://github.com/sympy/sympy/issues/11003) + # raises(SympifyError, lambda: F2('2')) + +def test_eval_classmethod_check(): + with raises(TypeError): + class F(Function): + def eval(self, x): + pass + + +def test_issue_27163(): + # https://github.com/sympy/sympy/issues/27163 + raises(TypeError, lambda: Derivative(f, t)) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_kind.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_kind.py new file mode 100644 index 0000000000000000000000000000000000000000..cbfdffb9304b49488756752ca198fd4067087437 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_kind.py @@ -0,0 +1,57 @@ +from sympy.core.add import Add +from sympy.core.kind import NumberKind, UndefinedKind +from sympy.core.mul import Mul +from sympy.core.numbers import pi, zoo, I, AlgebraicNumber +from sympy.core.singleton import S +from sympy.core.symbol import Symbol +from sympy.integrals.integrals import Integral +from sympy.core.function import Derivative +from sympy.matrices import (Matrix, SparseMatrix, ImmutableMatrix, + ImmutableSparseMatrix, MatrixSymbol, MatrixKind, MatMul) + +comm_x = Symbol('x') +noncomm_x = Symbol('x', commutative=False) + +def test_NumberKind(): + assert S.One.kind is NumberKind + assert pi.kind is NumberKind + assert S.NaN.kind is NumberKind + assert zoo.kind is NumberKind + assert I.kind is NumberKind + assert AlgebraicNumber(1).kind is NumberKind + +def test_Add_kind(): + assert Add(2, 3, evaluate=False).kind is NumberKind + assert Add(2,comm_x).kind is NumberKind + assert Add(2,noncomm_x).kind is UndefinedKind + +def test_mul_kind(): + assert Mul(2,comm_x, evaluate=False).kind is NumberKind + assert Mul(2,3, evaluate=False).kind is NumberKind + assert Mul(noncomm_x,2, evaluate=False).kind is UndefinedKind + assert Mul(2,noncomm_x, evaluate=False).kind is UndefinedKind + +def test_Symbol_kind(): + assert comm_x.kind is NumberKind + assert noncomm_x.kind is UndefinedKind + +def test_Integral_kind(): + A = MatrixSymbol('A', 2,2) + assert Integral(comm_x, comm_x).kind is NumberKind + assert Integral(A, comm_x).kind is MatrixKind(NumberKind) + +def test_Derivative_kind(): + A = MatrixSymbol('A', 2,2) + assert Derivative(comm_x, comm_x).kind is NumberKind + assert Derivative(A, comm_x).kind is MatrixKind(NumberKind) + +def test_Matrix_kind(): + classes = (Matrix, SparseMatrix, ImmutableMatrix, ImmutableSparseMatrix) + for cls in classes: + m = cls.zeros(3, 2) + assert m.kind is MatrixKind(NumberKind) + +def test_MatMul_kind(): + M = Matrix([[1,2],[3,4]]) + assert MatMul(2, M).kind is MatrixKind(NumberKind) + assert MatMul(comm_x, M).kind is MatrixKind(NumberKind) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_logic.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_logic.py new file mode 100644 index 0000000000000000000000000000000000000000..df5647f32ea7c4e326eb4e3aec6a7b2987f32aee --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_logic.py @@ -0,0 +1,198 @@ +from sympy.core.logic import (fuzzy_not, Logic, And, Or, Not, fuzzy_and, + fuzzy_or, _fuzzy_group, _torf, fuzzy_nand, fuzzy_xor) +from sympy.testing.pytest import raises + +from itertools import product + +T = True +F = False +U = None + + + +def test_torf(): + v = [T, F, U] + for i in product(*[v]*3): + assert _torf(i) is (True if all(j for j in i) else + (False if all(j is False for j in i) else None)) + + +def test_fuzzy_group(): + v = [T, F, U] + for i in product(*[v]*3): + assert _fuzzy_group(i) is (None if None in i else + (True if all(j for j in i) else False)) + assert _fuzzy_group(i, quick_exit=True) is \ + (None if (i.count(False) > 1) else + (None if None in i else (True if all(j for j in i) else False))) + it = (True if (i == 0) else None for i in range(2)) + assert _torf(it) is None + it = (True if (i == 1) else None for i in range(2)) + assert _torf(it) is None + + +def test_fuzzy_not(): + assert fuzzy_not(T) == F + assert fuzzy_not(F) == T + assert fuzzy_not(U) == U + + +def test_fuzzy_and(): + assert fuzzy_and([T, T]) == T + assert fuzzy_and([T, F]) == F + assert fuzzy_and([T, U]) == U + assert fuzzy_and([F, F]) == F + assert fuzzy_and([F, U]) == F + assert fuzzy_and([U, U]) == U + assert [fuzzy_and([w]) for w in [U, T, F]] == [U, T, F] + assert fuzzy_and([T, F, U]) == F + assert fuzzy_and([]) == T + raises(TypeError, lambda: fuzzy_and()) + + +def test_fuzzy_or(): + assert fuzzy_or([T, T]) == T + assert fuzzy_or([T, F]) == T + assert fuzzy_or([T, U]) == T + assert fuzzy_or([F, F]) == F + assert fuzzy_or([F, U]) == U + assert fuzzy_or([U, U]) == U + assert [fuzzy_or([w]) for w in [U, T, F]] == [U, T, F] + assert fuzzy_or([T, F, U]) == T + assert fuzzy_or([]) == F + raises(TypeError, lambda: fuzzy_or()) + + +def test_logic_cmp(): + l1 = And('a', Not('b')) + l2 = And('a', Not('b')) + + assert hash(l1) == hash(l2) + assert (l1 == l2) == T + assert (l1 != l2) == F + + assert And('a', 'b', 'c') == And('b', 'a', 'c') + assert And('a', 'b', 'c') == And('c', 'b', 'a') + assert And('a', 'b', 'c') == And('c', 'a', 'b') + + assert Not('a') < Not('b') + assert (Not('b') < Not('a')) is False + assert (Not('a') < 2) is False + + +def test_logic_onearg(): + assert And() is True + assert Or() is False + + assert And(T) == T + assert And(F) == F + assert Or(T) == T + assert Or(F) == F + + assert And('a') == 'a' + assert Or('a') == 'a' + + +def test_logic_xnotx(): + assert And('a', Not('a')) == F + assert Or('a', Not('a')) == T + + +def test_logic_eval_TF(): + assert And(F, F) == F + assert And(F, T) == F + assert And(T, F) == F + assert And(T, T) == T + + assert Or(F, F) == F + assert Or(F, T) == T + assert Or(T, F) == T + assert Or(T, T) == T + + assert And('a', T) == 'a' + assert And('a', F) == F + assert Or('a', T) == T + assert Or('a', F) == 'a' + + +def test_logic_combine_args(): + assert And('a', 'b', 'a') == And('a', 'b') + assert Or('a', 'b', 'a') == Or('a', 'b') + + assert And(And('a', 'b'), And('c', 'd')) == And('a', 'b', 'c', 'd') + assert Or(Or('a', 'b'), Or('c', 'd')) == Or('a', 'b', 'c', 'd') + + assert Or('t', And('n', 'p', 'r'), And('n', 'r'), And('n', 'p', 'r'), 't', + And('n', 'r')) == Or('t', And('n', 'p', 'r'), And('n', 'r')) + + +def test_logic_expand(): + t = And(Or('a', 'b'), 'c') + assert t.expand() == Or(And('a', 'c'), And('b', 'c')) + + t = And(Or('a', Not('b')), 'b') + assert t.expand() == And('a', 'b') + + t = And(Or('a', 'b'), Or('c', 'd')) + assert t.expand() == \ + Or(And('a', 'c'), And('a', 'd'), And('b', 'c'), And('b', 'd')) + + +def test_logic_fromstring(): + S = Logic.fromstring + + assert S('a') == 'a' + assert S('!a') == Not('a') + assert S('a & b') == And('a', 'b') + assert S('a | b') == Or('a', 'b') + assert S('a | b & c') == And(Or('a', 'b'), 'c') + assert S('a & b | c') == Or(And('a', 'b'), 'c') + assert S('a & b & c') == And('a', 'b', 'c') + assert S('a | b | c') == Or('a', 'b', 'c') + + raises(ValueError, lambda: S('| a')) + raises(ValueError, lambda: S('& a')) + raises(ValueError, lambda: S('a | | b')) + raises(ValueError, lambda: S('a | & b')) + raises(ValueError, lambda: S('a & & b')) + raises(ValueError, lambda: S('a |')) + raises(ValueError, lambda: S('a|b')) + raises(ValueError, lambda: S('!')) + raises(ValueError, lambda: S('! a')) + raises(ValueError, lambda: S('!(a + 1)')) + raises(ValueError, lambda: S('')) + + +def test_logic_not(): + assert Not('a') != '!a' + assert Not('!a') != 'a' + assert Not(True) == False + assert Not(False) == True + + # NOTE: we may want to change default Not behaviour and put this + # functionality into some method. + assert Not(And('a', 'b')) == Or(Not('a'), Not('b')) + assert Not(Or('a', 'b')) == And(Not('a'), Not('b')) + + raises(ValueError, lambda: Not(1)) + + +def test_formatting(): + S = Logic.fromstring + raises(ValueError, lambda: S('a&b')) + raises(ValueError, lambda: S('a|b')) + raises(ValueError, lambda: S('! a')) + + +def test_fuzzy_xor(): + assert fuzzy_xor((None,)) is None + assert fuzzy_xor((None, True)) is None + assert fuzzy_xor((None, False)) is None + assert fuzzy_xor((True, False)) is True + assert fuzzy_xor((True, True)) is False + assert fuzzy_xor((True, True, False)) is False + assert fuzzy_xor((True, True, False, True)) is True + +def test_fuzzy_nand(): + for args in [(1, 0), (1, 1), (0, 0)]: + assert fuzzy_nand(args) == fuzzy_not(fuzzy_and(args)) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_match.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_match.py new file mode 100644 index 0000000000000000000000000000000000000000..b44012bebc4a5f3ec413c236dca1dec71da78cf5 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_match.py @@ -0,0 +1,766 @@ +from sympy import abc +from sympy.concrete.summations import Sum +from sympy.core.add import Add +from sympy.core.function import (Derivative, Function, diff) +from sympy.core.mul import Mul +from sympy.core.numbers import (Float, I, Integer, Rational, oo, pi) +from sympy.core.singleton import S +from sympy.core.symbol import (Symbol, Wild, symbols) +from sympy.functions.elementary.exponential import (exp, log) +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.trigonometric import (cos, sin) +from sympy.functions.special.hyper import meijerg +from sympy.polys.polytools import Poly +from sympy.simplify.radsimp import collect +from sympy.simplify.simplify import signsimp + +from sympy.testing.pytest import XFAIL + + +def test_symbol(): + x = Symbol('x') + a, b, c, p, q = map(Wild, 'abcpq') + + e = x + assert e.match(x) == {} + assert e.matches(x) == {} + assert e.match(a) == {a: x} + + e = Rational(5) + assert e.match(c) == {c: 5} + assert e.match(e) == {} + assert e.match(e + 1) is None + + +def test_add(): + x, y, a, b, c = map(Symbol, 'xyabc') + p, q, r = map(Wild, 'pqr') + + e = a + b + assert e.match(p + b) == {p: a} + assert e.match(p + a) == {p: b} + + e = 1 + b + assert e.match(p + b) == {p: 1} + + e = a + b + c + assert e.match(a + p + c) == {p: b} + assert e.match(b + p + c) == {p: a} + + e = a + b + c + x + assert e.match(a + p + x + c) == {p: b} + assert e.match(b + p + c + x) == {p: a} + assert e.match(b) is None + assert e.match(b + p) == {p: a + c + x} + assert e.match(a + p + c) == {p: b + x} + assert e.match(b + p + c) == {p: a + x} + + e = 4*x + 5 + assert e.match(4*x + p) == {p: 5} + assert e.match(3*x + p) == {p: x + 5} + assert e.match(p*x + 5) == {p: 4} + + +def test_power(): + x, y, a, b, c = map(Symbol, 'xyabc') + p, q, r = map(Wild, 'pqr') + + e = (x + y)**a + assert e.match(p**q) == {p: x + y, q: a} + assert e.match(p**p) is None + + e = (x + y)**(x + y) + assert e.match(p**p) == {p: x + y} + assert e.match(p**q) == {p: x + y, q: x + y} + + e = (2*x)**2 + assert e.match(p*q**r) == {p: 4, q: x, r: 2} + + e = Integer(1) + assert e.match(x**p) == {p: 0} + + +def test_match_exclude(): + x = Symbol('x') + y = Symbol('y') + p = Wild("p") + q = Wild("q") + r = Wild("r") + + e = Rational(6) + assert e.match(2*p) == {p: 3} + + e = 3/(4*x + 5) + assert e.match(3/(p*x + q)) == {p: 4, q: 5} + + e = 3/(4*x + 5) + assert e.match(p/(q*x + r)) == {p: 3, q: 4, r: 5} + + e = 2/(x + 1) + assert e.match(p/(q*x + r)) == {p: 2, q: 1, r: 1} + + e = 1/(x + 1) + assert e.match(p/(q*x + r)) == {p: 1, q: 1, r: 1} + + e = 4*x + 5 + assert e.match(p*x + q) == {p: 4, q: 5} + + e = 4*x + 5*y + 6 + assert e.match(p*x + q*y + r) == {p: 4, q: 5, r: 6} + + a = Wild('a', exclude=[x]) + + e = 3*x + assert e.match(p*x) == {p: 3} + assert e.match(a*x) == {a: 3} + + e = 3*x**2 + assert e.match(p*x) == {p: 3*x} + assert e.match(a*x) is None + + e = 3*x + 3 + 6/x + assert e.match(p*x**2 + p*x + 2*p) == {p: 3/x} + assert e.match(a*x**2 + a*x + 2*a) is None + + +def test_mul(): + x, y, a, b, c = map(Symbol, 'xyabc') + p, q = map(Wild, 'pq') + + e = 4*x + assert e.match(p*x) == {p: 4} + assert e.match(p*y) is None + assert e.match(e + p*y) == {p: 0} + + e = a*x*b*c + assert e.match(p*x) == {p: a*b*c} + assert e.match(c*p*x) == {p: a*b} + + e = (a + b)*(a + c) + assert e.match((p + b)*(p + c)) == {p: a} + + e = x + assert e.match(p*x) == {p: 1} + + e = exp(x) + assert e.match(x**p*exp(x*q)) == {p: 0, q: 1} + + e = I*Poly(x, x) + assert e.match(I*p) == {p: x} + + +def test_mul_noncommutative(): + x, y = symbols('x y') + A, B, C = symbols('A B C', commutative=False) + u, v = symbols('u v', cls=Wild) + w, z = symbols('w z', cls=Wild, commutative=False) + + assert (u*v).matches(x) in ({v: x, u: 1}, {u: x, v: 1}) + assert (u*v).matches(x*y) in ({v: y, u: x}, {u: y, v: x}) + assert (u*v).matches(A) is None + assert (u*v).matches(A*B) is None + assert (u*v).matches(x*A) is None + assert (u*v).matches(x*y*A) is None + assert (u*v).matches(x*A*B) is None + assert (u*v).matches(x*y*A*B) is None + + assert (v*w).matches(x) is None + assert (v*w).matches(x*y) is None + assert (v*w).matches(A) == {w: A, v: 1} + assert (v*w).matches(A*B) == {w: A*B, v: 1} + assert (v*w).matches(x*A) == {w: A, v: x} + assert (v*w).matches(x*y*A) == {w: A, v: x*y} + assert (v*w).matches(x*A*B) == {w: A*B, v: x} + assert (v*w).matches(x*y*A*B) == {w: A*B, v: x*y} + + assert (v*w).matches(-x) is None + assert (v*w).matches(-x*y) is None + assert (v*w).matches(-A) == {w: A, v: -1} + assert (v*w).matches(-A*B) == {w: A*B, v: -1} + assert (v*w).matches(-x*A) == {w: A, v: -x} + assert (v*w).matches(-x*y*A) == {w: A, v: -x*y} + assert (v*w).matches(-x*A*B) == {w: A*B, v: -x} + assert (v*w).matches(-x*y*A*B) == {w: A*B, v: -x*y} + + assert (w*z).matches(x) is None + assert (w*z).matches(x*y) is None + assert (w*z).matches(A) is None + assert (w*z).matches(A*B) == {w: A, z: B} + assert (w*z).matches(B*A) == {w: B, z: A} + assert (w*z).matches(A*B*C) in [{w: A, z: B*C}, {w: A*B, z: C}] + assert (w*z).matches(x*A) is None + assert (w*z).matches(x*y*A) is None + assert (w*z).matches(x*A*B) is None + assert (w*z).matches(x*y*A*B) is None + + assert (w*A).matches(A) is None + assert (A*w*B).matches(A*B) is None + + assert (u*w*z).matches(x) is None + assert (u*w*z).matches(x*y) is None + assert (u*w*z).matches(A) is None + assert (u*w*z).matches(A*B) == {u: 1, w: A, z: B} + assert (u*w*z).matches(B*A) == {u: 1, w: B, z: A} + assert (u*w*z).matches(x*A) is None + assert (u*w*z).matches(x*y*A) is None + assert (u*w*z).matches(x*A*B) == {u: x, w: A, z: B} + assert (u*w*z).matches(x*B*A) == {u: x, w: B, z: A} + assert (u*w*z).matches(x*y*A*B) == {u: x*y, w: A, z: B} + assert (u*w*z).matches(x*y*B*A) == {u: x*y, w: B, z: A} + + assert (u*A).matches(x*A) == {u: x} + assert (u*A).matches(x*A*B) is None + assert (u*B).matches(x*A) is None + assert (u*A*B).matches(x*A*B) == {u: x} + assert (u*A*B).matches(x*B*A) is None + assert (u*A*B).matches(x*A) is None + + assert (u*w*A).matches(x*A*B) is None + assert (u*w*B).matches(x*A*B) == {u: x, w: A} + + assert (u*v*A*B).matches(x*A*B) in [{u: x, v: 1}, {v: x, u: 1}] + assert (u*v*A*B).matches(x*B*A) is None + assert (u*v*A*B).matches(u*v*A*C) is None + + +def test_mul_noncommutative_mismatch(): + A, B, C = symbols('A B C', commutative=False) + w = symbols('w', cls=Wild, commutative=False) + + assert (w*B*w).matches(A*B*A) == {w: A} + assert (w*B*w).matches(A*C*B*A*C) == {w: A*C} + assert (w*B*w).matches(A*C*B*A*B) is None + assert (w*B*w).matches(A*B*C) is None + assert (w*w*C).matches(A*B*C) is None + + +def test_mul_noncommutative_pow(): + A, B, C = symbols('A B C', commutative=False) + w = symbols('w', cls=Wild, commutative=False) + + assert (A*B*w).matches(A*B**2) == {w: B} + assert (A*(B**2)*w*(B**3)).matches(A*B**8) == {w: B**3} + assert (A*B*w*C).matches(A*(B**4)*C) == {w: B**3} + + assert (A*B*(w**(-1))).matches(A*B*(C**(-1))) == {w: C} + assert (A*(B*w)**(-1)*C).matches(A*(B*C)**(-1)*C) == {w: C} + + assert ((w**2)*B*C).matches((A**2)*B*C) == {w: A} + assert ((w**2)*B*(w**3)).matches((A**2)*B*(A**3)) == {w: A} + assert ((w**2)*B*(w**4)).matches((A**2)*B*(A**2)) is None + +def test_complex(): + a, b, c = map(Symbol, 'abc') + x, y = map(Wild, 'xy') + + assert (1 + I).match(x + I) == {x: 1} + assert (a + I).match(x + I) == {x: a} + assert (2*I).match(x*I) == {x: 2} + assert (a*I).match(x*I) == {x: a} + assert (a*I).match(x*y) == {x: I, y: a} + assert (2*I).match(x*y) == {x: 2, y: I} + assert (a + b*I).match(x + y*I) == {x: a, y: b} + + +def test_functions(): + from sympy.core.function import WildFunction + x = Symbol('x') + g = WildFunction('g') + p = Wild('p') + q = Wild('q') + + f = cos(5*x) + notf = x + assert f.match(p*cos(q*x)) == {p: 1, q: 5} + assert f.match(p*g) == {p: 1, g: cos(5*x)} + assert notf.match(g) is None + + +@XFAIL +def test_functions_X1(): + from sympy.core.function import WildFunction + x = Symbol('x') + g = WildFunction('g') + p = Wild('p') + q = Wild('q') + + f = cos(5*x) + assert f.match(p*g(q*x)) == {p: 1, g: cos, q: 5} + + +def test_interface(): + x, y = map(Symbol, 'xy') + p, q = map(Wild, 'pq') + + assert (x + 1).match(p + 1) == {p: x} + assert (x*3).match(p*3) == {p: x} + assert (x**3).match(p**3) == {p: x} + assert (x*cos(y)).match(p*cos(q)) == {p: x, q: y} + + assert (x*y).match(p*q) in [{p:x, q:y}, {p:y, q:x}] + assert (x + y).match(p + q) in [{p:x, q:y}, {p:y, q:x}] + assert (x*y + 1).match(p*q) in [{p:1, q:1 + x*y}, {p:1 + x*y, q:1}] + + +def test_derivative1(): + x, y = map(Symbol, 'xy') + p, q = map(Wild, 'pq') + + f = Function('f', nargs=1) + fd = Derivative(f(x), x) + + assert fd.match(p) == {p: fd} + assert (fd + 1).match(p + 1) == {p: fd} + assert (fd).match(fd) == {} + assert (3*fd).match(p*fd) is not None + assert (3*fd - 1).match(p*fd + q) == {p: 3, q: -1} + + +def test_derivative_bug1(): + f = Function("f") + x = Symbol("x") + a = Wild("a", exclude=[f, x]) + b = Wild("b", exclude=[f]) + pattern = a * Derivative(f(x), x, x) + b + expr = Derivative(f(x), x) + x**2 + d1 = {b: x**2} + d2 = pattern.xreplace(d1).matches(expr, d1) + assert d2 is None + + +def test_derivative2(): + f = Function("f") + x = Symbol("x") + a = Wild("a", exclude=[f, x]) + b = Wild("b", exclude=[f]) + e = Derivative(f(x), x) + assert e.match(Derivative(f(x), x)) == {} + assert e.match(Derivative(f(x), x, x)) is None + e = Derivative(f(x), x, x) + assert e.match(Derivative(f(x), x)) is None + assert e.match(Derivative(f(x), x, x)) == {} + e = Derivative(f(x), x) + x**2 + assert e.match(a*Derivative(f(x), x) + b) == {a: 1, b: x**2} + assert e.match(a*Derivative(f(x), x, x) + b) is None + e = Derivative(f(x), x, x) + x**2 + assert e.match(a*Derivative(f(x), x) + b) is None + assert e.match(a*Derivative(f(x), x, x) + b) == {a: 1, b: x**2} + + +def test_match_deriv_bug1(): + n = Function('n') + l = Function('l') + + x = Symbol('x') + p = Wild('p') + + e = diff(l(x), x)/x - diff(diff(n(x), x), x)/2 - \ + diff(n(x), x)**2/4 + diff(n(x), x)*diff(l(x), x)/4 + e = e.subs(n(x), -l(x)).doit() + t = x*exp(-l(x)) + t2 = t.diff(x, x)/t + assert e.match( (p*t2).expand() ) == {p: Rational(-1, 2)} + + +def test_match_bug2(): + x, y = map(Symbol, 'xy') + p, q, r = map(Wild, 'pqr') + res = (x + y).match(p + q + r) + assert (p + q + r).subs(res) == x + y + + +def test_match_bug3(): + x, a, b = map(Symbol, 'xab') + p = Wild('p') + assert (b*x*exp(a*x)).match(x*exp(p*x)) is None + + +def test_match_bug4(): + x = Symbol('x') + p = Wild('p') + e = x + assert e.match(-p*x) == {p: -1} + + +def test_match_bug5(): + x = Symbol('x') + p = Wild('p') + e = -x + assert e.match(-p*x) == {p: 1} + + +def test_match_bug6(): + x = Symbol('x') + p = Wild('p') + e = x + assert e.match(3*p*x) == {p: Rational(1)/3} + + +def test_match_polynomial(): + x = Symbol('x') + a = Wild('a', exclude=[x]) + b = Wild('b', exclude=[x]) + c = Wild('c', exclude=[x]) + d = Wild('d', exclude=[x]) + + eq = 4*x**3 + 3*x**2 + 2*x + 1 + pattern = a*x**3 + b*x**2 + c*x + d + assert eq.match(pattern) == {a: 4, b: 3, c: 2, d: 1} + assert (eq - 3*x**2).match(pattern) == {a: 4, b: 0, c: 2, d: 1} + assert (x + sqrt(2) + 3).match(a + b*x + c*x**2) == \ + {b: 1, a: sqrt(2) + 3, c: 0} + + +def test_exclude(): + x, y, a = map(Symbol, 'xya') + p = Wild('p', exclude=[1, x]) + q = Wild('q') + r = Wild('r', exclude=[sin, y]) + + assert sin(x).match(r) is None + assert cos(y).match(r) is None + + e = 3*x**2 + y*x + a + assert e.match(p*x**2 + q*x + r) == {p: 3, q: y, r: a} + + e = x + 1 + assert e.match(x + p) is None + assert e.match(p + 1) is None + assert e.match(x + 1 + p) == {p: 0} + + e = cos(x) + 5*sin(y) + assert e.match(r) is None + assert e.match(cos(y) + r) is None + assert e.match(r + p*sin(q)) == {r: cos(x), p: 5, q: y} + + +def test_floats(): + a, b = map(Wild, 'ab') + + e = cos(0.12345, evaluate=False)**2 + r = e.match(a*cos(b)**2) + assert r == {a: 1, b: Float(0.12345)} + + +def test_Derivative_bug1(): + f = Function("f") + x = abc.x + a = Wild("a", exclude=[f(x)]) + b = Wild("b", exclude=[f(x)]) + eq = f(x).diff(x) + assert eq.match(a*Derivative(f(x), x) + b) == {a: 1, b: 0} + + +def test_match_wild_wild(): + p = Wild('p') + q = Wild('q') + r = Wild('r') + + assert p.match(q + r) in [ {q: p, r: 0}, {q: 0, r: p} ] + assert p.match(q*r) in [ {q: p, r: 1}, {q: 1, r: p} ] + + p = Wild('p') + q = Wild('q', exclude=[p]) + r = Wild('r') + + assert p.match(q + r) == {q: 0, r: p} + assert p.match(q*r) == {q: 1, r: p} + + p = Wild('p') + q = Wild('q', exclude=[p]) + r = Wild('r', exclude=[p]) + + assert p.match(q + r) is None + assert p.match(q*r) is None + + +def test__combine_inverse(): + x, y = symbols("x y") + assert Mul._combine_inverse(x*I*y, x*I) == y + assert Mul._combine_inverse(x*x**(1 + y), x**(1 + y)) == x + assert Mul._combine_inverse(x*I*y, y*I) == x + assert Mul._combine_inverse(oo*I*y, y*I) is oo + assert Mul._combine_inverse(oo*I*y, oo*I) == y + assert Mul._combine_inverse(oo*I*y, oo*I) == y + assert Mul._combine_inverse(oo*y, -oo) == -y + assert Mul._combine_inverse(-oo*y, oo) == -y + assert Mul._combine_inverse((1-exp(x/y)),(exp(x/y)-1)) == -1 + assert Add._combine_inverse(oo, oo) is S.Zero + assert Add._combine_inverse(oo*I, oo*I) is S.Zero + assert Add._combine_inverse(x*oo, x*oo) is S.Zero + assert Add._combine_inverse(-x*oo, -x*oo) is S.Zero + assert Add._combine_inverse((x - oo)*(x + oo), -oo) + + +def test_issue_3773(): + x = symbols('x') + z, phi, r = symbols('z phi r') + c, A, B, N = symbols('c A B N', cls=Wild) + l = Wild('l', exclude=(0,)) + + eq = z * sin(2*phi) * r**7 + matcher = c * sin(phi*N)**l * r**A * log(r)**B + + assert eq.match(matcher) == {c: z, l: 1, N: 2, A: 7, B: 0} + assert (-eq).match(matcher) == {c: -z, l: 1, N: 2, A: 7, B: 0} + assert (x*eq).match(matcher) == {c: x*z, l: 1, N: 2, A: 7, B: 0} + assert (-7*x*eq).match(matcher) == {c: -7*x*z, l: 1, N: 2, A: 7, B: 0} + + matcher = c*sin(phi*N)**l * r**A + + assert eq.match(matcher) == {c: z, l: 1, N: 2, A: 7} + assert (-eq).match(matcher) == {c: -z, l: 1, N: 2, A: 7} + assert (x*eq).match(matcher) == {c: x*z, l: 1, N: 2, A: 7} + assert (-7*x*eq).match(matcher) == {c: -7*x*z, l: 1, N: 2, A: 7} + + +def test_issue_3883(): + from sympy.abc import gamma, mu, x + f = (-gamma * (x - mu)**2 - log(gamma) + log(2*pi))/2 + a, b, c = symbols('a b c', cls=Wild, exclude=(gamma,)) + + assert f.match(a * log(gamma) + b * gamma + c) == \ + {a: Rational(-1, 2), b: -(-mu + x)**2/2, c: log(2*pi)/2} + assert f.expand().collect(gamma).match(a * log(gamma) + b * gamma + c) == \ + {a: Rational(-1, 2), b: (-(x - mu)**2/2).expand(), c: (log(2*pi)/2).expand()} + g1 = Wild('g1', exclude=[gamma]) + g2 = Wild('g2', exclude=[gamma]) + g3 = Wild('g3', exclude=[gamma]) + assert f.expand().match(g1 * log(gamma) + g2 * gamma + g3) == \ + {g3: log(2)/2 + log(pi)/2, g1: Rational(-1, 2), g2: -mu**2/2 + mu*x - x**2/2} + + +def test_issue_4418(): + x = Symbol('x') + a, b, c = symbols('a b c', cls=Wild, exclude=(x,)) + f, g = symbols('f g', cls=Function) + + eq = diff(g(x)*f(x).diff(x), x) + + assert eq.match( + g(x).diff(x)*f(x).diff(x) + g(x)*f(x).diff(x, x) + c) == {c: 0} + assert eq.match(a*g(x).diff( + x)*f(x).diff(x) + b*g(x)*f(x).diff(x, x) + c) == {a: 1, b: 1, c: 0} + + +def test_issue_4700(): + f = Function('f') + x = Symbol('x') + a, b = symbols('a b', cls=Wild, exclude=(f(x),)) + + p = a*f(x) + b + eq1 = sin(x) + eq2 = f(x) + sin(x) + eq3 = f(x) + x + sin(x) + eq4 = x + sin(x) + + assert eq1.match(p) == {a: 0, b: sin(x)} + assert eq2.match(p) == {a: 1, b: sin(x)} + assert eq3.match(p) == {a: 1, b: x + sin(x)} + assert eq4.match(p) == {a: 0, b: x + sin(x)} + + +def test_issue_5168(): + a, b, c = symbols('a b c', cls=Wild) + x = Symbol('x') + f = Function('f') + + assert x.match(a) == {a: x} + assert x.match(a*f(x)**c) == {a: x, c: 0} + assert x.match(a*b) == {a: 1, b: x} + assert x.match(a*b*f(x)**c) == {a: 1, b: x, c: 0} + + assert (-x).match(a) == {a: -x} + assert (-x).match(a*f(x)**c) == {a: -x, c: 0} + assert (-x).match(a*b) == {a: -1, b: x} + assert (-x).match(a*b*f(x)**c) == {a: -1, b: x, c: 0} + + assert (2*x).match(a) == {a: 2*x} + assert (2*x).match(a*f(x)**c) == {a: 2*x, c: 0} + assert (2*x).match(a*b) == {a: 2, b: x} + assert (2*x).match(a*b*f(x)**c) == {a: 2, b: x, c: 0} + + assert (-2*x).match(a) == {a: -2*x} + assert (-2*x).match(a*f(x)**c) == {a: -2*x, c: 0} + assert (-2*x).match(a*b) == {a: -2, b: x} + assert (-2*x).match(a*b*f(x)**c) == {a: -2, b: x, c: 0} + + +def test_issue_4559(): + x = Symbol('x') + e = Symbol('e') + w = Wild('w', exclude=[x]) + y = Wild('y') + + # this is as it should be + + assert (3/x).match(w/y) == {w: 3, y: x} + assert (3*x).match(w*y) == {w: 3, y: x} + assert (x/3).match(y/w) == {w: 3, y: x} + assert (3*x).match(y/w) == {w: S.One/3, y: x} + assert (3*x).match(y/w) == {w: Rational(1, 3), y: x} + + # these could be allowed to fail + + assert (x/3).match(w/y) == {w: S.One/3, y: 1/x} + assert (3*x).match(w/y) == {w: 3, y: 1/x} + assert (3/x).match(w*y) == {w: 3, y: 1/x} + + # Note that solve will give + # multiple roots but match only gives one: + # + # >>> solve(x**r-y**2,y) + # [-x**(r/2), x**(r/2)] + + r = Symbol('r', rational=True) + assert (x**r).match(y**2) == {y: x**(r/2)} + assert (x**e).match(y**2) == {y: sqrt(x**e)} + + # since (x**i = y) -> x = y**(1/i) where i is an integer + # the following should also be valid as long as y is not + # zero when i is negative. + + a = Wild('a') + + e = S.Zero + assert e.match(a) == {a: e} + assert e.match(1/a) is None + assert e.match(a**.3) is None + + e = S(3) + assert e.match(1/a) == {a: 1/e} + assert e.match(1/a**2) == {a: 1/sqrt(e)} + e = pi + assert e.match(1/a) == {a: 1/e} + assert e.match(1/a**2) == {a: 1/sqrt(e)} + assert (-e).match(sqrt(a)) is None + assert (-e).match(a**2) == {a: I*sqrt(pi)} + +# The pattern matcher doesn't know how to handle (x - a)**2 == (a - x)**2. To +# avoid ambiguity in actual applications, don't put a coefficient (including a +# minus sign) in front of a wild. +@XFAIL +def test_issue_4883(): + a = Wild('a') + x = Symbol('x') + + e = [i**2 for i in (x - 2, 2 - x)] + p = [i**2 for i in (x - a, a- x)] + for eq in e: + for pat in p: + assert eq.match(pat) == {a: 2} + + +def test_issue_4319(): + x, y = symbols('x y') + + p = -x*(S.One/8 - y) + ans = {S.Zero, y - S.One/8} + + def ok(pat): + assert set(p.match(pat).values()) == ans + + ok(Wild("coeff", exclude=[x])*x + Wild("rest")) + ok(Wild("w", exclude=[x])*x + Wild("rest")) + ok(Wild("coeff", exclude=[x])*x + Wild("rest")) + ok(Wild("w", exclude=[x])*x + Wild("rest")) + ok(Wild("e", exclude=[x])*x + Wild("rest")) + ok(Wild("ress", exclude=[x])*x + Wild("rest")) + ok(Wild("resu", exclude=[x])*x + Wild("rest")) + + +def test_issue_3778(): + p, c, q = symbols('p c q', cls=Wild) + x = Symbol('x') + + assert (sin(x)**2).match(sin(p)*sin(q)*c) == {q: x, c: 1, p: x} + assert (2*sin(x)).match(sin(p) + sin(q) + c) == {q: x, c: 0, p: x} + + +def test_issue_6103(): + x = Symbol('x') + a = Wild('a') + assert (-I*x*oo).match(I*a*oo) == {a: -x} + + +def test_issue_3539(): + a = Wild('a') + x = Symbol('x') + assert (x - 2).match(a - x) is None + assert (6/x).match(a*x) is None + assert (6/x**2).match(a/x) == {a: 6/x} + +def test_gh_issue_2711(): + x = Symbol('x') + f = meijerg(((), ()), ((0,), ()), x) + a = Wild('a') + b = Wild('b') + + assert f.find(a) == {(S.Zero,), ((), ()), ((S.Zero,), ()), x, S.Zero, + (), meijerg(((), ()), ((S.Zero,), ()), x)} + assert f.find(a + b) == \ + {meijerg(((), ()), ((S.Zero,), ()), x), x, S.Zero} + assert f.find(a**2) == {meijerg(((), ()), ((S.Zero,), ()), x), x} + + +def test_issue_17354(): + from sympy.core.symbol import (Wild, symbols) + x, y = symbols("x y", real=True) + a, b = symbols("a b", cls=Wild) + assert ((0 <= x).reversed | (y <= x)).match((1/a <= b) | (a <= b)) is None + + +def test_match_issue_17397(): + f = Function("f") + x = Symbol("x") + a3 = Wild('a3', exclude=[f(x), f(x).diff(x), f(x).diff(x, 2)]) + b3 = Wild('b3', exclude=[f(x), f(x).diff(x), f(x).diff(x, 2)]) + c3 = Wild('c3', exclude=[f(x), f(x).diff(x), f(x).diff(x, 2)]) + deq = a3*(f(x).diff(x, 2)) + b3*f(x).diff(x) + c3*f(x) + + eq = (x-2)**2*(f(x).diff(x, 2)) + (x-2)*(f(x).diff(x)) + ((x-2)**2 - 4)*f(x) + r = collect(eq, [f(x).diff(x, 2), f(x).diff(x), f(x)]).match(deq) + assert r == {a3: (x - 2)**2, c3: (x - 2)**2 - 4, b3: x - 2} + + eq =x*f(x) + x*Derivative(f(x), (x, 2)) - 4*f(x) + Derivative(f(x), x) \ + - 4*Derivative(f(x), (x, 2)) - 2*Derivative(f(x), x)/x + 4*Derivative(f(x), (x, 2))/x + r = collect(eq, [f(x).diff(x, 2), f(x).diff(x), f(x)]).match(deq) + assert r == {a3: x - 4 + 4/x, b3: 1 - 2/x, c3: x - 4} + + +def test_match_issue_21942(): + a, r, w = symbols('a, r, w', nonnegative=True) + p = symbols('p', positive=True) + g_ = Wild('g') + pattern = g_ ** (1 / (1 - p)) + eq = (a * r ** (1 - p) + w ** (1 - p) * (1 - a)) ** (1 / (1 - p)) + m = {g_: a * r ** (1 - p) + w ** (1 - p) * (1 - a)} + assert pattern.matches(eq) == m + assert (-pattern).matches(-eq) == m + assert pattern.matches(signsimp(eq)) is None + + +def test_match_terms(): + X, Y = map(Wild, "XY") + x, y, z = symbols('x y z') + assert (5*y - x).match(5*X - Y) == {X: y, Y: x} + # 15907 + assert (x + (y - 1)*z).match(x + X*z) == {X: y - 1} + # 20747 + assert (x - log(x/y)*(1-exp(x/y))).match(x - log(X/y)*(1-exp(x/y))) == {X: x} + + +def test_match_bound(): + V, W = map(Wild, "VW") + x, y = symbols('x y') + assert Sum(x, (x, 1, 2)).match(Sum(y, (y, 1, W))) is None + assert Sum(x, (x, 1, 2)).match(Sum(V, (V, 1, W))) == {W: 2, V:x} + assert Sum(x, (x, 1, 2)).match(Sum(V, (V, 1, 2))) == {V:x} + + +def test_issue_22462(): + x, f = symbols('x'), Function('f') + n, Q = symbols('n Q', cls=Wild) + pattern = -Q*f(x)**n + eq = 5*f(x)**2 + assert pattern.matches(eq) == {n: 2, Q: -5} diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_multidimensional.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_multidimensional.py new file mode 100644 index 0000000000000000000000000000000000000000..765c78adf8dbed2ead43721ca4ab9510dbeeb282 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_multidimensional.py @@ -0,0 +1,24 @@ +from sympy.core.function import (Derivative, Function, diff) +from sympy.core.symbol import symbols +from sympy.functions.elementary.trigonometric import sin +from sympy.core.multidimensional import vectorize +x, y, z = symbols('x y z') +f, g, h = list(map(Function, 'fgh')) + + +def test_vectorize(): + @vectorize(0) + def vsin(x): + return sin(x) + + assert vsin([1, x, y]) == [sin(1), sin(x), sin(y)] + + @vectorize(0, 1) + def vdiff(f, y): + return diff(f, y) + + assert vdiff([f(x, y, z), g(x, y, z), h(x, y, z)], [x, y, z]) == \ + [[Derivative(f(x, y, z), x), Derivative(f(x, y, z), y), + Derivative(f(x, y, z), z)], [Derivative(g(x, y, z), x), + Derivative(g(x, y, z), y), Derivative(g(x, y, z), z)], + [Derivative(h(x, y, z), x), Derivative(h(x, y, z), y), Derivative(h(x, y, z), z)]] diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_noncommutative.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_noncommutative.py new file mode 100644 index 0000000000000000000000000000000000000000..b3d3a3cec2ef64aa500aad08b438c90cc8987581 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_noncommutative.py @@ -0,0 +1,140 @@ +"""Tests for noncommutative symbols and expressions.""" + +from sympy.core.function import expand +from sympy.core.numbers import I +from sympy.core.symbol import symbols +from sympy.functions.elementary.complexes import (adjoint, conjugate, transpose) +from sympy.functions.elementary.trigonometric import (cos, sin) +from sympy.polys.polytools import (cancel, factor) +from sympy.simplify.combsimp import combsimp +from sympy.simplify.gammasimp import gammasimp +from sympy.simplify.radsimp import (collect, radsimp, rcollect) +from sympy.simplify.ratsimp import ratsimp +from sympy.simplify.simplify import (posify, simplify) +from sympy.simplify.trigsimp import trigsimp +from sympy.abc import x, y, z +from sympy.testing.pytest import XFAIL + +A, B, C = symbols("A B C", commutative=False) +X = symbols("X", commutative=False, hermitian=True) +Y = symbols("Y", commutative=False, antihermitian=True) + + +def test_adjoint(): + assert adjoint(A).is_commutative is False + assert adjoint(A*A) == adjoint(A)**2 + assert adjoint(A*B) == adjoint(B)*adjoint(A) + assert adjoint(A*B**2) == adjoint(B)**2*adjoint(A) + assert adjoint(A*B - B*A) == adjoint(B)*adjoint(A) - adjoint(A)*adjoint(B) + assert adjoint(A + I*B) == adjoint(A) - I*adjoint(B) + + assert adjoint(X) == X + assert adjoint(-I*X) == I*X + assert adjoint(Y) == -Y + assert adjoint(-I*Y) == -I*Y + + assert adjoint(X) == conjugate(transpose(X)) + assert adjoint(Y) == conjugate(transpose(Y)) + assert adjoint(X) == transpose(conjugate(X)) + assert adjoint(Y) == transpose(conjugate(Y)) + + +def test_cancel(): + assert cancel(A*B - B*A) == A*B - B*A + assert cancel(A*B*(x - 1)) == A*B*(x - 1) + assert cancel(A*B*(x**2 - 1)/(x + 1)) == A*B*(x - 1) + assert cancel(A*B*(x**2 - 1)/(x + 1) - B*A*(x - 1)) == A*B*(x - 1) + (1 - x)*B*A + + +@XFAIL +def test_collect(): + assert collect(A*B - B*A, A) == A*B - B*A + assert collect(A*B - B*A, B) == A*B - B*A + assert collect(A*B - B*A, x) == A*B - B*A + + +def test_combsimp(): + assert combsimp(A*B - B*A) == A*B - B*A + + +def test_gammasimp(): + assert gammasimp(A*B - B*A) == A*B - B*A + + +def test_conjugate(): + assert conjugate(A).is_commutative is False + assert (A*A).conjugate() == conjugate(A)**2 + assert (A*B).conjugate() == conjugate(A)*conjugate(B) + assert (A*B**2).conjugate() == conjugate(A)*conjugate(B)**2 + assert (A*B - B*A).conjugate() == \ + conjugate(A)*conjugate(B) - conjugate(B)*conjugate(A) + assert (A*B).conjugate() - (B*A).conjugate() == \ + conjugate(A)*conjugate(B) - conjugate(B)*conjugate(A) + assert (A + I*B).conjugate() == conjugate(A) - I*conjugate(B) + + +def test_expand(): + assert expand((A*B)**2) == A*B*A*B + assert expand(A*B - B*A) == A*B - B*A + assert expand((A*B/A)**2) == A*B*B/A + assert expand(B*A*(A + B)*B) == B*A**2*B + B*A*B**2 + assert expand(B*A*(A + C)*B) == B*A**2*B + B*A*C*B + + +def test_factor(): + assert factor(A*B - B*A) == A*B - B*A + + +def test_posify(): + assert posify(A)[0].is_commutative is False + for q in (A*B/A, (A*B/A)**2, (A*B)**2, A*B - B*A): + p = posify(q) + assert p[0].subs(p[1]) == q + + +def test_radsimp(): + assert radsimp(A*B - B*A) == A*B - B*A + + +@XFAIL +def test_ratsimp(): + assert ratsimp(A*B - B*A) == A*B - B*A + + +@XFAIL +def test_rcollect(): + assert rcollect(A*B - B*A, A) == A*B - B*A + assert rcollect(A*B - B*A, B) == A*B - B*A + assert rcollect(A*B - B*A, x) == A*B - B*A + + +def test_simplify(): + assert simplify(A*B - B*A) == A*B - B*A + + +def test_subs(): + assert (x*y*A).subs(x*y, z) == A*z + assert (x*A*B).subs(x*A, C) == C*B + assert (x*A*x*x).subs(x**2*A, C) == x*C + assert (x*A*x*B).subs(x**2*A, C) == C*B + assert (A**2*B**2).subs(A*B**2, C) == A*C + assert (A*A*A + A*B*A).subs(A*A*A, C) == C + A*B*A + + +def test_transpose(): + assert transpose(A).is_commutative is False + assert transpose(A*A) == transpose(A)**2 + assert transpose(A*B) == transpose(B)*transpose(A) + assert transpose(A*B**2) == transpose(B)**2*transpose(A) + assert transpose(A*B - B*A) == \ + transpose(B)*transpose(A) - transpose(A)*transpose(B) + assert transpose(A + I*B) == transpose(A) + I*transpose(B) + + assert transpose(X) == conjugate(X) + assert transpose(-I*X) == -I*conjugate(X) + assert transpose(Y) == -conjugate(Y) + assert transpose(-I*Y) == I*conjugate(Y) + + +def test_trigsimp(): + assert trigsimp(A*sin(x)**2 + A*cos(x)**2) == A diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_numbers.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_numbers.py new file mode 100644 index 0000000000000000000000000000000000000000..10d14b6ac09fb0ab102c37cb99405440bd0bbffb --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_numbers.py @@ -0,0 +1,2335 @@ +import numbers as nums +import decimal +from sympy.concrete.summations import Sum +from sympy.core import (EulerGamma, Catalan, TribonacciConstant, + GoldenRatio) +from sympy.core.containers import Tuple +from sympy.core.expr import unchanged +from sympy.core.logic import fuzzy_not +from sympy.core.mul import Mul +from sympy.core.numbers import (mpf_norm, seterr, + Integer, I, pi, comp, Rational, E, nan, + oo, AlgebraicNumber, Number, Float, zoo, equal_valued, + int_valued, all_close) +from sympy.core.intfunc import (igcd, igcdex, igcd2, igcd_lehmer, + ilcm, integer_nthroot, isqrt, integer_log, mod_inverse) +from sympy.core.power import Pow +from sympy.core.relational import Ge, Gt, Le, Lt +from sympy.core.singleton import S +from sympy.core.symbol import Dummy, Symbol +from sympy.core.sympify import sympify +from sympy.functions.combinatorial.factorials import factorial +from sympy.functions.elementary.integers import floor +from sympy.functions.combinatorial.numbers import fibonacci +from sympy.functions.elementary.exponential import exp, log +from sympy.functions.elementary.miscellaneous import sqrt, cbrt +from sympy.functions.elementary.trigonometric import cos, sin +from sympy.polys.domains.realfield import RealField +from sympy.printing.latex import latex +from sympy.printing.repr import srepr +from sympy.simplify import simplify +from sympy.polys.domains.groundtypes import PythonRational +from sympy.utilities.decorator import conserve_mpmath_dps +from sympy.utilities.iterables import permutations +from sympy.testing.pytest import (XFAIL, raises, _both_exp_pow, + warns_deprecated_sympy) +from sympy import Add + +from mpmath import mpf +import mpmath +from sympy.core import numbers +t = Symbol('t', real=False) + +_ninf = float(-oo) +_inf = float(oo) + + +def same_and_same_prec(a, b): + # stricter matching for Floats + return a == b and a._prec == b._prec + + +def test_seterr(): + seterr(divide=True) + raises(ValueError, lambda: S.Zero/S.Zero) + seterr(divide=False) + assert S.Zero / S.Zero is S.NaN + + +def test_mod(): + x = S.Half + y = Rational(3, 4) + z = Rational(5, 18043) + + assert x % x == 0 + assert x % y == S.Half + assert x % z == Rational(3, 36086) + assert y % x == Rational(1, 4) + assert y % y == 0 + assert y % z == Rational(9, 72172) + assert z % x == Rational(5, 18043) + assert z % y == Rational(5, 18043) + assert z % z == 0 + + a = Float(2.6) + + assert (a % .2) == 0.0 + assert (a % 2).round(15) == 0.6 + assert (a % 0.5).round(15) == 0.1 + + p = Symbol('p', infinite=True) + + assert oo % oo is nan + assert zoo % oo is nan + assert 5 % oo is nan + assert p % 5 is nan + + # In these two tests, if the precision of m does + # not match the precision of the ans, then it is + # likely that the change made now gives an answer + # with degraded accuracy. + r = Rational(500, 41) + f = Float('.36', 3) + m = r % f + ans = Float(r % Rational(f), 3) + assert m == ans and m._prec == ans._prec + f = Float('8.36', 3) + m = f % r + ans = Float(Rational(f) % r, 3) + assert m == ans and m._prec == ans._prec + + s = S.Zero + + assert s % float(1) == 0.0 + + # No rounding required since these numbers can be represented + # exactly. + assert Rational(3, 4) % Float(1.1) == 0.75 + assert Float(1.5) % Rational(5, 4) == 0.25 + assert Rational(5, 4).__rmod__(Float('1.5')) == 0.25 + assert Float('1.5').__rmod__(Float('2.75')) == Float('1.25') + assert 2.75 % Float('1.5') == Float('1.25') + + a = Integer(7) + b = Integer(4) + + assert type(a % b) == Integer + assert a % b == Integer(3) + assert Integer(1) % Rational(2, 3) == Rational(1, 3) + assert Rational(7, 5) % Integer(1) == Rational(2, 5) + assert Integer(2) % 1.5 == 0.5 + + assert Integer(3).__rmod__(Integer(10)) == Integer(1) + assert Integer(10) % 4 == Integer(2) + assert 15 % Integer(4) == Integer(3) + + +def test_divmod(): + x = Symbol("x") + assert divmod(S(12), S(8)) == Tuple(1, 4) + assert divmod(-S(12), S(8)) == Tuple(-2, 4) + assert divmod(S.Zero, S.One) == Tuple(0, 0) + raises(ZeroDivisionError, lambda: divmod(S.Zero, S.Zero)) + raises(ZeroDivisionError, lambda: divmod(S.One, S.Zero)) + assert divmod(S(12), 8) == Tuple(1, 4) + assert divmod(12, S(8)) == Tuple(1, 4) + assert S(1024)//x == 1024//x == floor(1024/x) + + assert divmod(S("2"), S("3/2")) == Tuple(S("1"), S("1/2")) + assert divmod(S("3/2"), S("2")) == Tuple(S("0"), S("3/2")) + assert divmod(S("2"), S("3.5")) == Tuple(S("0"), S("2.")) + assert divmod(S("3.5"), S("2")) == Tuple(S("1"), S("1.5")) + assert divmod(S("2"), S("1/3")) == Tuple(S("6"), S("0")) + assert divmod(S("1/3"), S("2")) == Tuple(S("0"), S("1/3")) + assert divmod(S("2"), S("1/10")) == Tuple(S("20"), S("0")) + assert divmod(S("2"), S(".1"))[0] == 19 + assert divmod(S("0.1"), S("2")) == Tuple(S("0"), S("0.1")) + assert divmod(S("2"), 2) == Tuple(S("1"), S("0")) + assert divmod(2, S("2")) == Tuple(S("1"), S("0")) + assert divmod(S("2"), 1.5) == Tuple(S("1"), S("0.5")) + assert divmod(1.5, S("2")) == Tuple(S("0"), S("1.5")) + assert divmod(0.3, S("2")) == Tuple(S("0"), S("0.3")) + assert divmod(S("3/2"), S("3.5")) == Tuple(S("0"), S(3/2)) + assert divmod(S("3.5"), S("3/2")) == Tuple(S("2"), S("0.5")) + assert divmod(S("3/2"), S("1/3")) == Tuple(S("4"), S("1/6")) + assert divmod(S("1/3"), S("3/2")) == Tuple(S("0"), S("1/3")) + assert divmod(S("3/2"), S("0.1"))[0] == 14 + assert divmod(S("0.1"), S("3/2")) == Tuple(S("0"), S("0.1")) + assert divmod(S("3/2"), 2) == Tuple(S("0"), S("3/2")) + assert divmod(2, S("3/2")) == Tuple(S("1"), S("1/2")) + assert divmod(S("3/2"), 1.5) == Tuple(S("1"), S("0.")) + assert divmod(1.5, S("3/2")) == Tuple(S("1"), S("0.")) + assert divmod(S("3/2"), 0.3) == Tuple(S("5"), S("0.")) + assert divmod(0.3, S("3/2")) == Tuple(S("0"), S("0.3")) + assert divmod(S("1/3"), S("3.5")) == (0, 1/3) + assert divmod(S("3.5"), S("0.1")) == Tuple(S("35"), S("0.")) + assert divmod(S("0.1"), S("3.5")) == Tuple(S("0"), S("0.1")) + assert divmod(S("3.5"), 2) == Tuple(S("1"), S("1.5")) + assert divmod(2, S("3.5")) == Tuple(S("0"), S("2.")) + assert divmod(S("3.5"), 1.5) == Tuple(S("2"), S("0.5")) + assert divmod(1.5, S("3.5")) == Tuple(S("0"), S("1.5")) + assert divmod(0.3, S("3.5")) == Tuple(S("0"), S("0.3")) + assert divmod(S("0.1"), S("1/3")) == Tuple(S("0"), S("0.1")) + assert divmod(S("1/3"), 2) == Tuple(S("0"), S("1/3")) + assert divmod(2, S("1/3")) == Tuple(S("6"), S("0")) + assert divmod(S("1/3"), 1.5) == (0, 1/3) + assert divmod(0.3, S("1/3")) == (0, 0.3) + assert divmod(S("0.1"), 2) == (0, 0.1) + assert divmod(2, S("0.1"))[0] == 19 + assert divmod(S("0.1"), 1.5) == (0, 0.1) + assert divmod(1.5, S("0.1")) == Tuple(S("15"), S("0.")) + assert divmod(S("0.1"), 0.3) == Tuple(S("0"), S("0.1")) + + assert str(divmod(S("2"), 0.3)) == '(6, 0.2)' + assert str(divmod(S("3.5"), S("1/3"))) == '(10, 0.166666666666667)' + assert str(divmod(S("3.5"), 0.3)) == '(11, 0.2)' + assert str(divmod(S("1/3"), S("0.1"))) == '(3, 0.0333333333333333)' + assert str(divmod(1.5, S("1/3"))) == '(4, 0.166666666666667)' + assert str(divmod(S("1/3"), 0.3)) == '(1, 0.0333333333333333)' + assert str(divmod(0.3, S("0.1"))) == '(2, 0.1)' + + assert divmod(-3, S(2)) == (-2, 1) + assert divmod(S(-3), S(2)) == (-2, 1) + assert divmod(S(-3), 2) == (-2, 1) + + assert divmod(oo, 1) == (S.NaN, S.NaN) + assert divmod(S.NaN, 1) == (S.NaN, S.NaN) + assert divmod(1, S.NaN) == (S.NaN, S.NaN) + ans = [(-1, oo), (-1, oo), (0, 0), (0, 1), (0, 2)] + OO = float('inf') + ANS = [tuple(map(float, i)) for i in ans] + assert [divmod(i, oo) for i in range(-2, 3)] == ans + ans = [(0, -2), (0, -1), (0, 0), (-1, -oo), (-1, -oo)] + ANS = [tuple(map(float, i)) for i in ans] + assert [divmod(i, -oo) for i in range(-2, 3)] == ans + assert [divmod(i, -OO) for i in range(-2, 3)] == ANS + + # sympy's divmod gives an Integer for the quotient rather than a float + dmod = lambda a, b: tuple([j if i else int(j) for i, j in enumerate(divmod(a, b))]) + for a in (4, 4., 4.25, 0, 0., -4, -4. -4.25): + for b in (2, 2., 2.5, -2, -2., -2.5): + assert divmod(S(a), S(b)) == dmod(a, b) + + +def test_igcd(): + assert igcd(0, 0) == 0 + assert igcd(0, 1) == 1 + assert igcd(1, 0) == 1 + assert igcd(0, 7) == 7 + assert igcd(7, 0) == 7 + assert igcd(7, 1) == 1 + assert igcd(1, 7) == 1 + assert igcd(-1, 0) == 1 + assert igcd(0, -1) == 1 + assert igcd(-1, -1) == 1 + assert igcd(-1, 7) == 1 + assert igcd(7, -1) == 1 + assert igcd(8, 2) == 2 + assert igcd(4, 8) == 4 + assert igcd(8, 16) == 8 + assert igcd(7, -3) == 1 + assert igcd(-7, 3) == 1 + assert igcd(-7, -3) == 1 + assert igcd(*[10, 20, 30]) == 10 + raises(TypeError, lambda: igcd()) + raises(TypeError, lambda: igcd(2)) + raises(ValueError, lambda: igcd(0, None)) + raises(ValueError, lambda: igcd(1, 2.2)) + for args in permutations((45.1, 1, 30)): + raises(ValueError, lambda: igcd(*args)) + for args in permutations((1, 2, None)): + raises(ValueError, lambda: igcd(*args)) + + +def test_igcd_lehmer(): + a, b = fibonacci(10001), fibonacci(10000) + # len(str(a)) == 2090 + # small divisors, long Euclidean sequence + assert igcd_lehmer(a, b) == 1 + c = fibonacci(100) + assert igcd_lehmer(a*c, b*c) == c + # big divisor + assert igcd_lehmer(a, 10**1000) == 1 + # swapping argument + assert igcd_lehmer(1, 2) == igcd_lehmer(2, 1) + + +def test_igcd2(): + # short loop + assert igcd2(2**100 - 1, 2**99 - 1) == 1 + # Lehmer's algorithm + a, b = int(fibonacci(10001)), int(fibonacci(10000)) + assert igcd2(a, b) == 1 + + +def test_ilcm(): + assert ilcm(0, 0) == 0 + assert ilcm(1, 0) == 0 + assert ilcm(0, 1) == 0 + assert ilcm(1, 1) == 1 + assert ilcm(2, 1) == 2 + assert ilcm(8, 2) == 8 + assert ilcm(8, 6) == 24 + assert ilcm(8, 7) == 56 + assert ilcm(*[10, 20, 30]) == 60 + raises(ValueError, lambda: ilcm(8.1, 7)) + raises(ValueError, lambda: ilcm(8, 7.1)) + raises(TypeError, lambda: ilcm(8)) + + +def test_igcdex(): + assert igcdex(2, 3) == (-1, 1, 1) + assert igcdex(10, 12) == (-1, 1, 2) + assert igcdex(100, 2004) == (-20, 1, 4) + assert igcdex(0, 0) == (0, 0, 0) + assert igcdex(1, 0) == (1, 0, 1) + + +def _strictly_equal(a, b): + return (a.p, a.q, type(a.p), type(a.q)) == \ + (b.p, b.q, type(b.p), type(b.q)) + + +def _test_rational_new(cls): + """ + Tests that are common between Integer and Rational. + """ + assert cls(0) is S.Zero + assert cls(1) is S.One + assert cls(-1) is S.NegativeOne + # These look odd, but are similar to int(): + assert cls('1') is S.One + assert cls('-1') is S.NegativeOne + + i = Integer(10) + assert _strictly_equal(i, cls('10')) + assert _strictly_equal(i, cls('10')) + assert _strictly_equal(i, cls(int(10))) + assert _strictly_equal(i, cls(i)) + + raises(TypeError, lambda: cls(Symbol('x'))) + + +def test_Integer_new(): + """ + Test for Integer constructor + """ + _test_rational_new(Integer) + + assert _strictly_equal(Integer(0.9), S.Zero) + assert _strictly_equal(Integer(10.5), Integer(10)) + raises(ValueError, lambda: Integer("10.5")) + assert Integer(Rational('1.' + '9'*20)) == 1 + + +def test_Rational_new(): + """" + Test for Rational constructor + """ + _test_rational_new(Rational) + + n1 = S.Half + assert n1 == Rational(Integer(1), 2) + assert n1 == Rational(Integer(1), Integer(2)) + assert n1 == Rational(1, Integer(2)) + assert n1 == Rational(S.Half) + assert 1 == Rational(n1, n1) + assert Rational(3, 2) == Rational(S.Half, Rational(1, 3)) + assert Rational(3, 1) == Rational(1, Rational(1, 3)) + n3_4 = Rational(3, 4) + assert Rational('3/4') == n3_4 + assert -Rational('-3/4') == n3_4 + assert Rational('.76').limit_denominator(4) == n3_4 + assert Rational(19, 25).limit_denominator(4) == n3_4 + assert Rational('19/25').limit_denominator(4) == n3_4 + assert Rational(1.0, 3) == Rational(1, 3) + assert Rational(1, 3.0) == Rational(1, 3) + assert Rational(Float(0.5)) == S.Half + assert Rational('1e2/1e-2') == Rational(10000) + assert Rational('1 234') == Rational(1234) + assert Rational('1/1 234') == Rational(1, 1234) + assert Rational(-1, 0) is S.ComplexInfinity + assert Rational(1, 0) is S.ComplexInfinity + # Make sure Rational doesn't lose precision on Floats + assert Rational(pi.evalf(100)).evalf(100) == pi.evalf(100) + raises(TypeError, lambda: Rational('3**3')) + raises(TypeError, lambda: Rational('1/2 + 2/3')) + + # handle fractions.Fraction instances + try: + import fractions + assert Rational(fractions.Fraction(1, 2)) == S.Half + except ImportError: + pass + + assert Rational(PythonRational(2, 6)) == Rational(1, 3) + + with warns_deprecated_sympy(): + assert Rational(2, 4, gcd=1).q == 4 + with warns_deprecated_sympy(): + n = Rational(2, -4, gcd=1) + assert n.q == 4 + assert n.p == -2 + + assert Rational.from_coprime_ints(3, 5) == Rational(3, 5) + + +def test_issue_24543(): + for p in ('1.5', 1.5, 2): + for q in ('1.5', 1.5, 2): + assert Rational(p, q).as_numer_denom() == Rational('%s/%s'%(p,q)).as_numer_denom() + + assert Rational('0.5', '100') == Rational(1, 200) + + +def test_Number_new(): + """" + Test for Number constructor + """ + # Expected behavior on numbers and strings + assert Number(1) is S.One + assert Number(2).__class__ is Integer + assert Number(-622).__class__ is Integer + assert Number(5, 3).__class__ is Rational + assert Number(5.3).__class__ is Float + assert Number('1') is S.One + assert Number('2').__class__ is Integer + assert Number('-622').__class__ is Integer + assert Number('5/3').__class__ is Rational + assert Number('5.3').__class__ is Float + raises(ValueError, lambda: Number('cos')) + raises(TypeError, lambda: Number(cos)) + a = Rational(3, 5) + assert Number(a) is a # Check idempotence on Numbers + u = ['inf', '-inf', 'nan', 'iNF', '+inf'] + v = [oo, -oo, nan, oo, oo] + for i, a in zip(u, v): + assert Number(i) is a, (i, Number(i), a) + + +def test_Number_cmp(): + n1 = Number(1) + n2 = Number(2) + n3 = Number(-3) + + assert n1 < n2 + assert n1 <= n2 + assert n3 < n1 + assert n2 > n3 + assert n2 >= n3 + + raises(TypeError, lambda: n1 < S.NaN) + raises(TypeError, lambda: n1 <= S.NaN) + raises(TypeError, lambda: n1 > S.NaN) + raises(TypeError, lambda: n1 >= S.NaN) + + +def test_Rational_cmp(): + n1 = Rational(1, 4) + n2 = Rational(1, 3) + n3 = Rational(2, 4) + n4 = Rational(2, -4) + n5 = Rational(0) + n6 = Rational(1) + n7 = Rational(3) + n8 = Rational(-3) + + assert n8 < n5 + assert n5 < n6 + assert n6 < n7 + assert n8 < n7 + assert n7 > n8 + assert (n1 + 1)**n2 < 2 + assert ((n1 + n6)/n7) < 1 + + assert n4 < n3 + assert n2 < n3 + assert n1 < n2 + assert n3 > n1 + assert not n3 < n1 + assert not (Rational(-1) > 0) + assert Rational(-1) < 0 + + raises(TypeError, lambda: n1 < S.NaN) + raises(TypeError, lambda: n1 <= S.NaN) + raises(TypeError, lambda: n1 > S.NaN) + raises(TypeError, lambda: n1 >= S.NaN) + + +def test_Float(): + def eq(a, b): + t = Float("1.0E-15") + return (-t < a - b < t) + + equal_pairs = [ + (0, 0.0), # This is just how Python works... + (0, S.Zero), + (0.0, Float(0)), + ] + unequal_pairs = [ + (0.0, S.Zero), + (0, Float(0)), + (S.Zero, Float(0)), + ] + for p1, p2 in equal_pairs: + assert (p1 == p2) is True + assert (p1 != p2) is False + assert (p2 == p1) is True + assert (p2 != p1) is False + for p1, p2 in unequal_pairs: + assert (p1 == p2) is False + assert (p1 != p2) is True + assert (p2 == p1) is False + assert (p2 != p1) is True + + assert S.Zero.is_zero + + a = Float(2) ** Float(3) + assert eq(a.evalf(), Float(8)) + assert eq((pi ** -1).evalf(), Float("0.31830988618379067")) + a = Float(2) ** Float(4) + assert eq(a.evalf(), Float(16)) + assert (S(.3) == S(.5)) is False + + mpf = (0, 5404319552844595, -52, 53) + x_str = Float((0, '13333333333333', -52, 53)) + x_0xstr = Float((0, '0x13333333333333', -52, 53)) + x2_str = Float((0, '26666666666666', -53, 54)) + x_hex = Float((0, int(0x13333333333333), -52, 53)) + x_dec = Float(mpf) + assert x_str == x_0xstr == x_hex == x_dec == Float(1.2) + # x2_str was entered slightly malformed in that the mantissa + # was even -- it should be odd and the even part should be + # included with the exponent, but this is resolved by normalization + # ONLY IF REQUIREMENTS of mpf_norm are met: the bitcount must + # be exact: double the mantissa ==> increase bc by 1 + assert Float(1.2)._mpf_ == mpf + assert x2_str._mpf_ == mpf + + assert Float((0, int(0), -123, -1)) is S.NaN + assert Float((0, int(0), -456, -2)) is S.Infinity + assert Float((1, int(0), -789, -3)) is S.NegativeInfinity + # if you don't give the full signature, it's not special + assert Float((0, int(0), -123)) == Float(0) + assert Float((0, int(0), -456)) == Float(0) + assert Float((1, int(0), -789)) == Float(0) + + raises(ValueError, lambda: Float((0, 7, 1, 3), '')) + + assert Float('0.0').is_finite is True + assert Float('0.0').is_negative is False + assert Float('0.0').is_positive is False + assert Float('0.0').is_infinite is False + assert Float('0.0').is_zero is True + + # rationality properties + # if the integer test fails then the use of intlike + # should be removed from gamma_functions.py + assert Float(1).is_integer is None + assert Float(1).is_rational is None + assert Float(1).is_irrational is None + assert sqrt(2).n(15).is_rational is None + assert sqrt(2).n(15).is_irrational is None + + # do not automatically evalf + def teq(a): + assert (a.evalf() == a) is False + assert (a.evalf() != a) is True + assert (a == a.evalf()) is False + assert (a != a.evalf()) is True + + teq(pi) + teq(2*pi) + teq(cos(0.1, evaluate=False)) + + # long integer + i = 12345678901234567890 + assert same_and_same_prec(Float(12, ''), Float('12', '')) + assert same_and_same_prec(Float(Integer(i), ''), Float(i, '')) + assert same_and_same_prec(Float(i, ''), Float(str(i), 20)) + assert same_and_same_prec(Float(str(i)), Float(i, '')) + assert same_and_same_prec(Float(i), Float(i, '')) + + # inexact floats (repeating binary = denom not multiple of 2) + # cannot have precision greater than 15 + assert Float(.125, 22)._prec == 76 + assert Float(2.0, 22)._prec == 76 + # only default prec is equal, even for exactly representable float + assert Float(.125, 22) != .125 + #assert Float(2.0, 22) == 2 + assert float(Float('.12500000000000001', '')) == .125 + raises(ValueError, lambda: Float(.12500000000000001, '')) + + # allow spaces + assert Float('123 456.123 456') == Float('123456.123456') + assert Integer('123 456') == Integer('123456') + assert Rational('123 456.123 456') == Rational('123456.123456') + assert Float(' .3e2') == Float('0.3e2') + # but treat them as strictly ass underscore between digits: only 1 + raises(ValueError, lambda: Float('1 2')) + + # allow underscore between digits + assert Float('1_23.4_56') == Float('123.456') + # assert Float('1_23.4_5_6', 12) == Float('123.456', 12) + # ...but not in all cases (per Py 3.6) + raises(ValueError, lambda: Float('1_')) + raises(ValueError, lambda: Float('1__2')) + raises(ValueError, lambda: Float('_1')) + raises(ValueError, lambda: Float('_inf')) + + # allow auto precision detection + assert Float('.1', '') == Float(.1, 1) + assert Float('.125', '') == Float(.125, 3) + assert Float('.100', '') == Float(.1, 3) + assert Float('2.0', '') == Float('2', 2) + + raises(ValueError, lambda: Float("12.3d-4", "")) + raises(ValueError, lambda: Float(12.3, "")) + raises(ValueError, lambda: Float('.')) + raises(ValueError, lambda: Float('-.')) + + zero = Float('0.0') + assert Float('-0') == zero + assert Float('.0') == zero + assert Float('-.0') == zero + assert Float('-0.0') == zero + assert Float(0.0) == zero + assert Float(0) == zero + assert Float(0, '') == Float('0', '') + assert Float(1) == Float(1.0) + assert Float(S.Zero) == zero + assert Float(S.One) == Float(1.0) + + assert Float(decimal.Decimal('0.1'), 3) == Float('.1', 3) + assert Float(decimal.Decimal('nan')) is S.NaN + assert Float(decimal.Decimal('Infinity')) is S.Infinity + assert Float(decimal.Decimal('-Infinity')) is S.NegativeInfinity + + assert '{:.3f}'.format(Float(4.236622)) == '4.237' + assert '{:.35f}'.format(Float(pi.n(40), 40)) == \ + '3.14159265358979323846264338327950288' + + # unicode + assert Float('0.73908513321516064100000000') == \ + Float('0.73908513321516064100000000') + assert Float('0.73908513321516064100000000', 28) == \ + Float('0.73908513321516064100000000', 28) + + # binary precision + # Decimal value 0.1 cannot be expressed precisely as a base 2 fraction + a = Float(S.One/10, dps=15) + b = Float(S.One/10, dps=16) + p = Float(S.One/10, precision=53) + q = Float(S.One/10, precision=54) + assert a._mpf_ == p._mpf_ + assert not a._mpf_ == q._mpf_ + assert not b._mpf_ == q._mpf_ + + # Precision specifying errors + raises(ValueError, lambda: Float("1.23", dps=3, precision=10)) + raises(ValueError, lambda: Float("1.23", dps="", precision=10)) + raises(ValueError, lambda: Float("1.23", dps=3, precision="")) + raises(ValueError, lambda: Float("1.23", dps="", precision="")) + + # from NumberSymbol + assert same_and_same_prec(Float(pi, 32), pi.evalf(32)) + assert same_and_same_prec(Float(Catalan), Catalan.evalf()) + + # oo and nan + u = ['inf', '-inf', 'nan', 'iNF', '+inf'] + v = [oo, -oo, nan, oo, oo] + for i, a in zip(u, v): + assert Float(i) is a + + +def test_zero_not_false(): + # https://github.com/sympy/sympy/issues/20796 + assert (S(0.0) == S.false) is False + assert (S.false == S(0.0)) is False + assert (S(0) == S.false) is False + assert (S.false == S(0)) is False + + +@conserve_mpmath_dps +def test_float_mpf(): + import mpmath + mpmath.mp.dps = 100 + mp_pi = mpmath.pi() + + assert Float(mp_pi, 100) == Float(mp_pi._mpf_, 100) == pi.evalf(100) + + mpmath.mp.dps = 15 + + assert Float(mp_pi, 100) == Float(mp_pi._mpf_, 100) == pi.evalf(100) + + +def test_Float_RealElement(): + repi = RealField(dps=100)(pi.evalf(100)) + # We still have to pass the precision because Float doesn't know what + # RealElement is, but make sure it keeps full precision from the result. + assert Float(repi, 100) == pi.evalf(100) + + +def test_Float_default_to_highprec_from_str(): + s = str(pi.evalf(128)) + assert same_and_same_prec(Float(s), Float(s, '')) + + +def test_Float_eval(): + a = Float(3.2) + assert (a**2).is_Float + + +def test_Float_issue_2107(): + a = Float(0.1, 10) + b = Float("0.1", 10) + + assert a - a == 0 + assert a + (-a) == 0 + assert S.Zero + a - a == 0 + assert S.Zero + a + (-a) == 0 + + assert b - b == 0 + assert b + (-b) == 0 + assert S.Zero + b - b == 0 + assert S.Zero + b + (-b) == 0 + + +def test_issue_14289(): + from sympy.polys.numberfields import to_number_field + + a = 1 - sqrt(2) + b = to_number_field(a) + assert b.as_expr() == a + assert b.minpoly(a).expand() == 0 + + +def test_Float_from_tuple(): + a = Float((0, '1L', 0, 1)) + b = Float((0, '1', 0, 1)) + assert a == b + + +def test_Infinity(): + assert oo != 1 + assert 1*oo is oo + assert 1 != oo + assert oo != -oo + assert oo != Symbol("x")**3 + assert oo + 1 is oo + assert 2 + oo is oo + assert 3*oo + 2 is oo + assert S.Half**oo == 0 + assert S.Half**(-oo) is oo + assert -oo*3 is -oo + assert oo + oo is oo + assert -oo + oo*(-5) is -oo + assert 1/oo == 0 + assert 1/(-oo) == 0 + assert 8/oo == 0 + assert oo % 2 is nan + assert 2 % oo is nan + assert oo/oo is nan + assert oo/-oo is nan + assert -oo/oo is nan + assert -oo/-oo is nan + assert oo - oo is nan + assert oo - -oo is oo + assert -oo - oo is -oo + assert -oo - -oo is nan + assert oo + -oo is nan + assert -oo + oo is nan + assert oo + oo is oo + assert -oo + oo is nan + assert oo + -oo is nan + assert -oo + -oo is -oo + assert oo*oo is oo + assert -oo*oo is -oo + assert oo*-oo is -oo + assert -oo*-oo is oo + assert oo/0 is oo + assert -oo/0 is -oo + assert 0/oo == 0 + assert 0/-oo == 0 + assert oo*0 is nan + assert -oo*0 is nan + assert 0*oo is nan + assert 0*-oo is nan + assert oo + 0 is oo + assert -oo + 0 is -oo + assert 0 + oo is oo + assert 0 + -oo is -oo + assert oo - 0 is oo + assert -oo - 0 is -oo + assert 0 - oo is -oo + assert 0 - -oo is oo + assert oo/2 is oo + assert -oo/2 is -oo + assert oo/-2 is -oo + assert -oo/-2 is oo + assert oo*2 is oo + assert -oo*2 is -oo + assert oo*-2 is -oo + assert 2/oo == 0 + assert 2/-oo == 0 + assert -2/oo == 0 + assert -2/-oo == 0 + assert 2*oo is oo + assert 2*-oo is -oo + assert -2*oo is -oo + assert -2*-oo is oo + assert 2 + oo is oo + assert 2 - oo is -oo + assert -2 + oo is oo + assert -2 - oo is -oo + assert 2 + -oo is -oo + assert 2 - -oo is oo + assert -2 + -oo is -oo + assert -2 - -oo is oo + assert S(2) + oo is oo + assert S(2) - oo is -oo + assert oo/I == -oo*I + assert -oo/I == oo*I + assert oo*float(1) == _inf and (oo*float(1)) is oo + assert -oo*float(1) == _ninf and (-oo*float(1)) is -oo + assert oo/float(1) == _inf and (oo/float(1)) is oo + assert -oo/float(1) == _ninf and (-oo/float(1)) is -oo + assert oo*float(-1) == _ninf and (oo*float(-1)) is -oo + assert -oo*float(-1) == _inf and (-oo*float(-1)) is oo + assert oo/float(-1) == _ninf and (oo/float(-1)) is -oo + assert -oo/float(-1) == _inf and (-oo/float(-1)) is oo + assert oo + float(1) == _inf and (oo + float(1)) is oo + assert -oo + float(1) == _ninf and (-oo + float(1)) is -oo + assert oo - float(1) == _inf and (oo - float(1)) is oo + assert -oo - float(1) == _ninf and (-oo - float(1)) is -oo + assert float(1)*oo == _inf and (float(1)*oo) is oo + assert float(1)*-oo == _ninf and (float(1)*-oo) is -oo + assert float(1)/oo == 0 + assert float(1)/-oo == 0 + assert float(-1)*oo == _ninf and (float(-1)*oo) is -oo + assert float(-1)*-oo == _inf and (float(-1)*-oo) is oo + assert float(-1)/oo == 0 + assert float(-1)/-oo == 0 + assert float(1) + oo is oo + assert float(1) + -oo is -oo + assert float(1) - oo is -oo + assert float(1) - -oo is oo + assert oo == float(oo) + assert (oo != float(oo)) is False + assert type(float(oo)) is float + assert -oo == float(-oo) + assert (-oo != float(-oo)) is False + assert type(float(-oo)) is float + + assert Float('nan') is nan + assert nan*1.0 is nan + assert -1.0*nan is nan + assert nan*oo is nan + assert nan*-oo is nan + assert nan/oo is nan + assert nan/-oo is nan + assert nan + oo is nan + assert nan + -oo is nan + assert nan - oo is nan + assert nan - -oo is nan + assert -oo * S.Zero is nan + + assert oo*nan is nan + assert -oo*nan is nan + assert oo/nan is nan + assert -oo/nan is nan + assert oo + nan is nan + assert -oo + nan is nan + assert oo - nan is nan + assert -oo - nan is nan + assert S.Zero * oo is nan + assert oo.is_Rational is False + assert isinstance(oo, Rational) is False + + assert S.One/oo == 0 + assert -S.One/oo == 0 + assert S.One/-oo == 0 + assert -S.One/-oo == 0 + assert S.One*oo is oo + assert -S.One*oo is -oo + assert S.One*-oo is -oo + assert -S.One*-oo is oo + assert S.One/nan is nan + assert S.One - -oo is oo + assert S.One + nan is nan + assert S.One - nan is nan + assert nan - S.One is nan + assert nan/S.One is nan + assert -oo - S.One is -oo + + +def test_Infinity_2(): + x = Symbol('x') + assert oo*x != oo + assert oo*(pi - 1) is oo + assert oo*(1 - pi) is -oo + + assert (-oo)*x != -oo + assert (-oo)*(pi - 1) is -oo + assert (-oo)*(1 - pi) is oo + + assert (-1)**S.NaN is S.NaN + assert oo - _inf is S.NaN + assert oo + _ninf is S.NaN + assert oo*0 is S.NaN + assert oo/_inf is S.NaN + assert oo/_ninf is S.NaN + assert oo**S.NaN is S.NaN + assert -oo + _inf is S.NaN + assert -oo - _ninf is S.NaN + assert -oo*S.NaN is S.NaN + assert -oo*0 is S.NaN + assert -oo/_inf is S.NaN + assert -oo/_ninf is S.NaN + assert -oo/S.NaN is S.NaN + assert abs(-oo) is oo + assert all((-oo)**i is S.NaN for i in (oo, -oo, S.NaN)) + assert (-oo)**3 is -oo + assert (-oo)**2 is oo + assert abs(S.ComplexInfinity) is oo + + +def test_Mul_Infinity_Zero(): + assert Float(0)*_inf is nan + assert Float(0)*_ninf is nan + assert Float(0)*_inf is nan + assert Float(0)*_ninf is nan + assert _inf*Float(0) is nan + assert _ninf*Float(0) is nan + assert _inf*Float(0) is nan + assert _ninf*Float(0) is nan + + +def test_Div_By_Zero(): + assert 1/S.Zero is zoo + assert 1/Float(0) is zoo + assert 0/S.Zero is nan + assert 0/Float(0) is nan + assert S.Zero/0 is nan + assert Float(0)/0 is nan + assert -1/S.Zero is zoo + assert -1/Float(0) is zoo + + +@_both_exp_pow +def test_Infinity_inequations(): + assert oo > pi + assert not (oo < pi) + assert exp(-3) < oo + + assert _inf > pi + assert not (_inf < pi) + assert exp(-3) < _inf + + raises(TypeError, lambda: oo < I) + raises(TypeError, lambda: oo <= I) + raises(TypeError, lambda: oo > I) + raises(TypeError, lambda: oo >= I) + raises(TypeError, lambda: -oo < I) + raises(TypeError, lambda: -oo <= I) + raises(TypeError, lambda: -oo > I) + raises(TypeError, lambda: -oo >= I) + + raises(TypeError, lambda: I < oo) + raises(TypeError, lambda: I <= oo) + raises(TypeError, lambda: I > oo) + raises(TypeError, lambda: I >= oo) + raises(TypeError, lambda: I < -oo) + raises(TypeError, lambda: I <= -oo) + raises(TypeError, lambda: I > -oo) + raises(TypeError, lambda: I >= -oo) + + assert oo > -oo and oo >= -oo + assert (oo < -oo) == False and (oo <= -oo) == False + assert -oo < oo and -oo <= oo + assert (-oo > oo) == False and (-oo >= oo) == False + + assert (oo < oo) == False # issue 7775 + assert (oo > oo) == False + assert (-oo > -oo) == False and (-oo < -oo) == False + assert oo >= oo and oo <= oo and -oo >= -oo and -oo <= -oo + assert (-oo < -_inf) == False + assert (oo > _inf) == False + assert -oo >= -_inf + assert oo <= _inf + + x = Symbol('x') + b = Symbol('b', finite=True, real=True) + assert (x < oo) == Lt(x, oo) # issue 7775 + assert b < oo and b > -oo and b <= oo and b >= -oo + assert oo > b and oo >= b and (oo < b) == False and (oo <= b) == False + assert (-oo > b) == False and (-oo >= b) == False and -oo < b and -oo <= b + assert (oo < x) == Lt(oo, x) and (oo > x) == Gt(oo, x) + assert (oo <= x) == Le(oo, x) and (oo >= x) == Ge(oo, x) + assert (-oo < x) == Lt(-oo, x) and (-oo > x) == Gt(-oo, x) + assert (-oo <= x) == Le(-oo, x) and (-oo >= x) == Ge(-oo, x) + + +def test_NaN(): + assert nan is nan + assert nan != 1 + assert 1*nan is nan + assert 1 != nan + assert -nan is nan + assert oo != Symbol("x")**3 + assert 2 + nan is nan + assert 3*nan + 2 is nan + assert -nan*3 is nan + assert nan + nan is nan + assert -nan + nan*(-5) is nan + assert 8/nan is nan + raises(TypeError, lambda: nan > 0) + raises(TypeError, lambda: nan < 0) + raises(TypeError, lambda: nan >= 0) + raises(TypeError, lambda: nan <= 0) + raises(TypeError, lambda: 0 < nan) + raises(TypeError, lambda: 0 > nan) + raises(TypeError, lambda: 0 <= nan) + raises(TypeError, lambda: 0 >= nan) + assert nan**0 == 1 # as per IEEE 754 + assert 1**nan is nan # IEEE 754 is not the best choice for symbolic work + # test Pow._eval_power's handling of NaN + assert Pow(nan, 0, evaluate=False)**2 == 1 + for n in (1, 1., S.One, S.NegativeOne, Float(1)): + assert n + nan is nan + assert n - nan is nan + assert nan + n is nan + assert nan - n is nan + assert n/nan is nan + assert nan/n is nan + + +def test_special_numbers(): + assert isinstance(S.NaN, Number) is True + assert isinstance(S.Infinity, Number) is True + assert isinstance(S.NegativeInfinity, Number) is True + + assert S.NaN.is_number is True + assert S.Infinity.is_number is True + assert S.NegativeInfinity.is_number is True + assert S.ComplexInfinity.is_number is True + + assert isinstance(S.NaN, Rational) is False + assert isinstance(S.Infinity, Rational) is False + assert isinstance(S.NegativeInfinity, Rational) is False + + assert S.NaN.is_rational is not True + assert S.Infinity.is_rational is not True + assert S.NegativeInfinity.is_rational is not True + + +def test_powers(): + assert integer_nthroot(1, 2) == (1, True) + assert integer_nthroot(1, 5) == (1, True) + assert integer_nthroot(2, 1) == (2, True) + assert integer_nthroot(2, 2) == (1, False) + assert integer_nthroot(2, 5) == (1, False) + assert integer_nthroot(4, 2) == (2, True) + assert integer_nthroot(123**25, 25) == (123, True) + assert integer_nthroot(123**25 + 1, 25) == (123, False) + assert integer_nthroot(123**25 - 1, 25) == (122, False) + assert integer_nthroot(1, 1) == (1, True) + assert integer_nthroot(0, 1) == (0, True) + assert integer_nthroot(0, 3) == (0, True) + assert integer_nthroot(10000, 1) == (10000, True) + assert integer_nthroot(4, 2) == (2, True) + assert integer_nthroot(16, 2) == (4, True) + assert integer_nthroot(26, 2) == (5, False) + assert integer_nthroot(1234567**7, 7) == (1234567, True) + assert integer_nthroot(1234567**7 + 1, 7) == (1234567, False) + assert integer_nthroot(1234567**7 - 1, 7) == (1234566, False) + b = 25**1000 + assert integer_nthroot(b, 1000) == (25, True) + assert integer_nthroot(b + 1, 1000) == (25, False) + assert integer_nthroot(b - 1, 1000) == (24, False) + c = 10**400 + c2 = c**2 + assert integer_nthroot(c2, 2) == (c, True) + assert integer_nthroot(c2 + 1, 2) == (c, False) + assert integer_nthroot(c2 - 1, 2) == (c - 1, False) + assert integer_nthroot(2, 10**10) == (1, False) + + p, r = integer_nthroot(int(factorial(10000)), 100) + assert p % (10**10) == 5322420655 + assert not r + + # Test that this is fast + assert integer_nthroot(2, 10**10) == (1, False) + + # output should be int if possible + assert type(integer_nthroot(2**61, 2)[0]) is int + + +def test_integer_nthroot_overflow(): + assert integer_nthroot(10**(50*50), 50) == (10**50, True) + assert integer_nthroot(10**100000, 10000) == (10**10, True) + + +def test_integer_log(): + raises(ValueError, lambda: integer_log(2, 1)) + raises(ValueError, lambda: integer_log(0, 2)) + raises(ValueError, lambda: integer_log(1.1, 2)) + raises(ValueError, lambda: integer_log(1, 2.2)) + + assert integer_log(1, 2) == (0, True) + assert integer_log(1, 3) == (0, True) + assert integer_log(2, 3) == (0, False) + assert integer_log(3, 3) == (1, True) + assert integer_log(3*2, 3) == (1, False) + assert integer_log(3**2, 3) == (2, True) + assert integer_log(3*4, 3) == (2, False) + assert integer_log(3**3, 3) == (3, True) + assert integer_log(27, 5) == (2, False) + assert integer_log(2, 3) == (0, False) + assert integer_log(-4, 2) == (2, False) + assert integer_log(-16, 4) == (0, False) + assert integer_log(-4, -2) == (2, False) + assert integer_log(4, -2) == (2, True) + assert integer_log(-8, -2) == (3, True) + assert integer_log(8, -2) == (3, False) + assert integer_log(-9, 3) == (0, False) + assert integer_log(-9, -3) == (2, False) + assert integer_log(9, -3) == (2, True) + assert integer_log(-27, -3) == (3, True) + assert integer_log(27, -3) == (3, False) + + +def test_isqrt(): + from math import sqrt as _sqrt + limit = 4503599761588223 + assert int(_sqrt(limit)) == integer_nthroot(limit, 2)[0] + assert int(_sqrt(limit + 1)) != integer_nthroot(limit + 1, 2)[0] + assert isqrt(limit + 1) == integer_nthroot(limit + 1, 2)[0] + assert isqrt(limit + S.Half) == integer_nthroot(limit, 2)[0] + assert isqrt(limit + 1 + S.Half) == integer_nthroot(limit + 1, 2)[0] + assert isqrt(limit + 2 + S.Half) == integer_nthroot(limit + 2, 2)[0] + + # Regression tests for https://github.com/sympy/sympy/issues/17034 + assert isqrt(4503599761588224) == 67108864 + assert isqrt(9999999999999999) == 99999999 + + # Other corner cases, especially involving non-integers. + raises(ValueError, lambda: isqrt(-1)) + raises(ValueError, lambda: isqrt(-10**1000)) + raises(ValueError, lambda: isqrt(Rational(-1, 2))) + + tiny = Rational(1, 10**1000) + raises(ValueError, lambda: isqrt(-tiny)) + assert isqrt(1-tiny) == 0 + assert isqrt(4503599761588224-tiny) == 67108864 + assert isqrt(10**100 - tiny) == 10**50 - 1 + + +def test_powers_Integer(): + """Test Integer._eval_power""" + # check infinity + assert S.One ** S.Infinity is S.NaN + assert S.NegativeOne** S.Infinity is S.NaN + assert S(2) ** S.Infinity is S.Infinity + assert S(-2)** S.Infinity == zoo + assert S(0) ** S.Infinity is S.Zero + + # check Nan + assert S.One ** S.NaN is S.NaN + assert S.NegativeOne ** S.NaN is S.NaN + + # check for exact roots + assert S.NegativeOne ** Rational(6, 5) == - (-1)**(S.One/5) + assert sqrt(S(4)) == 2 + assert sqrt(S(-4)) == I * 2 + assert S(16) ** Rational(1, 4) == 2 + assert S(-16) ** Rational(1, 4) == 2 * (-1)**Rational(1, 4) + assert S(9) ** Rational(3, 2) == 27 + assert S(-9) ** Rational(3, 2) == -27*I + assert S(27) ** Rational(2, 3) == 9 + assert S(-27) ** Rational(2, 3) == 9 * (S.NegativeOne ** Rational(2, 3)) + assert (-2) ** Rational(-2, 1) == Rational(1, 4) + + # not exact roots + assert sqrt(-3) == I*sqrt(3) + assert (3) ** (Rational(3, 2)) == 3 * sqrt(3) + assert (-3) ** (Rational(3, 2)) == - 3 * sqrt(-3) + assert (-3) ** (Rational(5, 2)) == 9 * I * sqrt(3) + assert (-3) ** (Rational(7, 2)) == - I * 27 * sqrt(3) + assert (2) ** (Rational(3, 2)) == 2 * sqrt(2) + assert (2) ** (Rational(-3, 2)) == sqrt(2) / 4 + assert (81) ** (Rational(2, 3)) == 9 * (S(3) ** (Rational(2, 3))) + assert (-81) ** (Rational(2, 3)) == 9 * (S(-3) ** (Rational(2, 3))) + assert (-3) ** Rational(-7, 3) == \ + -(-1)**Rational(2, 3)*3**Rational(2, 3)/27 + assert (-3) ** Rational(-2, 3) == \ + -(-1)**Rational(1, 3)*3**Rational(1, 3)/3 + + # join roots + assert sqrt(6) + sqrt(24) == 3*sqrt(6) + assert sqrt(2) * sqrt(3) == sqrt(6) + + # separate symbols & constansts + x = Symbol("x") + assert sqrt(49 * x) == 7 * sqrt(x) + assert sqrt((3 - sqrt(pi)) ** 2) == 3 - sqrt(pi) + + # check that it is fast for big numbers + assert (2**64 + 1) ** Rational(4, 3) + assert (2**64 + 1) ** Rational(17, 25) + + # negative rational power and negative base + assert (-3) ** Rational(-7, 3) == \ + -(-1)**Rational(2, 3)*3**Rational(2, 3)/27 + assert (-3) ** Rational(-2, 3) == \ + -(-1)**Rational(1, 3)*3**Rational(1, 3)/3 + assert (-2) ** Rational(-10, 3) == \ + (-1)**Rational(2, 3)*2**Rational(2, 3)/16 + assert abs(Pow(-2, Rational(-10, 3)).n() - + Pow(-2, Rational(-10, 3), evaluate=False).n()) < 1e-16 + + # negative base and rational power with some simplification + assert (-8) ** Rational(2, 5) == \ + 2*(-1)**Rational(2, 5)*2**Rational(1, 5) + assert (-4) ** Rational(9, 5) == \ + -8*(-1)**Rational(4, 5)*2**Rational(3, 5) + + assert S(1234).factors() == {617: 1, 2: 1} + assert Rational(2*3, 3*5*7).factors() == {2: 1, 5: -1, 7: -1} + + # test that eval_power factors numbers bigger than + # the current limit in factor_trial_division (2**15) + from sympy.ntheory.generate import nextprime + n = nextprime(2**15) + assert sqrt(n**2) == n + assert sqrt(n**3) == n*sqrt(n) + assert sqrt(4*n) == 2*sqrt(n) + + # check that factors of base with powers sharing gcd with power are removed + assert (2**4*3)**Rational(1, 6) == 2**Rational(2, 3)*3**Rational(1, 6) + assert (2**4*3)**Rational(5, 6) == 8*2**Rational(1, 3)*3**Rational(5, 6) + + # check that bases sharing a gcd are exptracted + assert 2**Rational(1, 3)*3**Rational(1, 4)*6**Rational(1, 5) == \ + 2**Rational(8, 15)*3**Rational(9, 20) + assert sqrt(8)*24**Rational(1, 3)*6**Rational(1, 5) == \ + 4*2**Rational(7, 10)*3**Rational(8, 15) + assert sqrt(8)*(-24)**Rational(1, 3)*(-6)**Rational(1, 5) == \ + 4*(-3)**Rational(8, 15)*2**Rational(7, 10) + assert 2**Rational(1, 3)*2**Rational(8, 9) == 2*2**Rational(2, 9) + assert 2**Rational(2, 3)*6**Rational(1, 3) == 2*3**Rational(1, 3) + assert 2**Rational(2, 3)*6**Rational(8, 9) == \ + 2*2**Rational(5, 9)*3**Rational(8, 9) + assert (-2)**Rational(2, S(3))*(-4)**Rational(1, S(3)) == -2*2**Rational(1, 3) + assert 3*Pow(3, 2, evaluate=False) == 3**3 + assert 3*Pow(3, Rational(-1, 3), evaluate=False) == 3**Rational(2, 3) + assert (-2)**Rational(1, 3)*(-3)**Rational(1, 4)*(-5)**Rational(5, 6) == \ + -(-1)**Rational(5, 12)*2**Rational(1, 3)*3**Rational(1, 4) * \ + 5**Rational(5, 6) + + assert Integer(-2)**Symbol('', even=True) == \ + Integer(2)**Symbol('', even=True) + assert (-1)**Float(.5) == 1.0*I + + +def test_powers_Rational(): + """Test Rational._eval_power""" + # check infinity + assert S.Half ** S.Infinity == 0 + assert Rational(3, 2) ** S.Infinity is S.Infinity + assert Rational(-1, 2) ** S.Infinity == 0 + assert Rational(-3, 2) ** S.Infinity == zoo + + # check Nan + assert Rational(3, 4) ** S.NaN is S.NaN + assert Rational(-2, 3) ** S.NaN is S.NaN + + # exact roots on numerator + assert sqrt(Rational(4, 3)) == 2 * sqrt(3) / 3 + assert Rational(4, 3) ** Rational(3, 2) == 8 * sqrt(3) / 9 + assert sqrt(Rational(-4, 3)) == I * 2 * sqrt(3) / 3 + assert Rational(-4, 3) ** Rational(3, 2) == - I * 8 * sqrt(3) / 9 + assert Rational(27, 2) ** Rational(1, 3) == 3 * (2 ** Rational(2, 3)) / 2 + assert Rational(5**3, 8**3) ** Rational(4, 3) == Rational(5**4, 8**4) + + # exact root on denominator + assert sqrt(Rational(1, 4)) == S.Half + assert sqrt(Rational(1, -4)) == I * S.Half + assert sqrt(Rational(3, 4)) == sqrt(3) / 2 + assert sqrt(Rational(3, -4)) == I * sqrt(3) / 2 + assert Rational(5, 27) ** Rational(1, 3) == (5 ** Rational(1, 3)) / 3 + + # not exact roots + assert sqrt(S.Half) == sqrt(2) / 2 + assert sqrt(Rational(-4, 7)) == I * sqrt(Rational(4, 7)) + assert Rational(-3, 2)**Rational(-7, 3) == \ + -4*(-1)**Rational(2, 3)*2**Rational(1, 3)*3**Rational(2, 3)/27 + assert Rational(-3, 2)**Rational(-2, 3) == \ + -(-1)**Rational(1, 3)*2**Rational(2, 3)*3**Rational(1, 3)/3 + assert Rational(-3, 2)**Rational(-10, 3) == \ + 8*(-1)**Rational(2, 3)*2**Rational(1, 3)*3**Rational(2, 3)/81 + assert abs(Pow(Rational(-2, 3), Rational(-7, 4)).n() - + Pow(Rational(-2, 3), Rational(-7, 4), evaluate=False).n()) < 1e-16 + + # negative integer power and negative rational base + assert Rational(-2, 3) ** Rational(-2, 1) == Rational(9, 4) + + a = Rational(1, 10) + assert a**Float(a, 2) == Float(a, 2)**Float(a, 2) + assert Rational(-2, 3)**Symbol('', even=True) == \ + Rational(2, 3)**Symbol('', even=True) + + +def test_powers_Float(): + assert str((S('-1/10')**S('3/10')).n()) == str(Float(-.1)**(.3)) + + +def test_lshift_Integer(): + assert Integer(0) << Integer(2) == Integer(0) + assert Integer(0) << 2 == Integer(0) + assert 0 << Integer(2) == Integer(0) + + assert Integer(0b11) << Integer(0) == Integer(0b11) + assert Integer(0b11) << 0 == Integer(0b11) + assert 0b11 << Integer(0) == Integer(0b11) + + assert Integer(0b11) << Integer(2) == Integer(0b11 << 2) + assert Integer(0b11) << 2 == Integer(0b11 << 2) + assert 0b11 << Integer(2) == Integer(0b11 << 2) + + assert Integer(-0b11) << Integer(2) == Integer(-0b11 << 2) + assert Integer(-0b11) << 2 == Integer(-0b11 << 2) + assert -0b11 << Integer(2) == Integer(-0b11 << 2) + + raises(TypeError, lambda: Integer(2) << 0.0) + raises(TypeError, lambda: 0.0 << Integer(2)) + raises(ValueError, lambda: Integer(1) << Integer(-1)) + + +def test_rshift_Integer(): + assert Integer(0) >> Integer(2) == Integer(0) + assert Integer(0) >> 2 == Integer(0) + assert 0 >> Integer(2) == Integer(0) + + assert Integer(0b11) >> Integer(0) == Integer(0b11) + assert Integer(0b11) >> 0 == Integer(0b11) + assert 0b11 >> Integer(0) == Integer(0b11) + + assert Integer(0b11) >> Integer(2) == Integer(0) + assert Integer(0b11) >> 2 == Integer(0) + assert 0b11 >> Integer(2) == Integer(0) + + assert Integer(-0b11) >> Integer(2) == Integer(-1) + assert Integer(-0b11) >> 2 == Integer(-1) + assert -0b11 >> Integer(2) == Integer(-1) + + assert Integer(0b1100) >> Integer(2) == Integer(0b1100 >> 2) + assert Integer(0b1100) >> 2 == Integer(0b1100 >> 2) + assert 0b1100 >> Integer(2) == Integer(0b1100 >> 2) + + assert Integer(-0b1100) >> Integer(2) == Integer(-0b1100 >> 2) + assert Integer(-0b1100) >> 2 == Integer(-0b1100 >> 2) + assert -0b1100 >> Integer(2) == Integer(-0b1100 >> 2) + + raises(TypeError, lambda: Integer(0b10) >> 0.0) + raises(TypeError, lambda: 0.0 >> Integer(2)) + raises(ValueError, lambda: Integer(1) >> Integer(-1)) + + +def test_and_Integer(): + assert Integer(0b01010101) & Integer(0b10101010) == Integer(0) + assert Integer(0b01010101) & 0b10101010 == Integer(0) + assert 0b01010101 & Integer(0b10101010) == Integer(0) + + assert Integer(0b01010101) & Integer(0b11011011) == Integer(0b01010001) + assert Integer(0b01010101) & 0b11011011 == Integer(0b01010001) + assert 0b01010101 & Integer(0b11011011) == Integer(0b01010001) + + assert -Integer(0b01010101) & Integer(0b11011011) == Integer(-0b01010101 & 0b11011011) + assert Integer(-0b01010101) & 0b11011011 == Integer(-0b01010101 & 0b11011011) + assert -0b01010101 & Integer(0b11011011) == Integer(-0b01010101 & 0b11011011) + + assert Integer(0b01010101) & -Integer(0b11011011) == Integer(0b01010101 & -0b11011011) + assert Integer(0b01010101) & -0b11011011 == Integer(0b01010101 & -0b11011011) + assert 0b01010101 & Integer(-0b11011011) == Integer(0b01010101 & -0b11011011) + + raises(TypeError, lambda: Integer(2) & 0.0) + raises(TypeError, lambda: 0.0 & Integer(2)) + + +def test_xor_Integer(): + assert Integer(0b01010101) ^ Integer(0b11111111) == Integer(0b10101010) + assert Integer(0b01010101) ^ 0b11111111 == Integer(0b10101010) + assert 0b01010101 ^ Integer(0b11111111) == Integer(0b10101010) + + assert Integer(0b01010101) ^ Integer(0b11011011) == Integer(0b10001110) + assert Integer(0b01010101) ^ 0b11011011 == Integer(0b10001110) + assert 0b01010101 ^ Integer(0b11011011) == Integer(0b10001110) + + assert -Integer(0b01010101) ^ Integer(0b11011011) == Integer(-0b01010101 ^ 0b11011011) + assert Integer(-0b01010101) ^ 0b11011011 == Integer(-0b01010101 ^ 0b11011011) + assert -0b01010101 ^ Integer(0b11011011) == Integer(-0b01010101 ^ 0b11011011) + + assert Integer(0b01010101) ^ -Integer(0b11011011) == Integer(0b01010101 ^ -0b11011011) + assert Integer(0b01010101) ^ -0b11011011 == Integer(0b01010101 ^ -0b11011011) + assert 0b01010101 ^ Integer(-0b11011011) == Integer(0b01010101 ^ -0b11011011) + + raises(TypeError, lambda: Integer(2) ^ 0.0) + raises(TypeError, lambda: 0.0 ^ Integer(2)) + + +def test_or_Integer(): + assert Integer(0b01010101) | Integer(0b10101010) == Integer(0b11111111) + assert Integer(0b01010101) | 0b10101010 == Integer(0b11111111) + assert 0b01010101 | Integer(0b10101010) == Integer(0b11111111) + + assert Integer(0b01010101) | Integer(0b11011011) == Integer(0b11011111) + assert Integer(0b01010101) | 0b11011011 == Integer(0b11011111) + assert 0b01010101 | Integer(0b11011011) == Integer(0b11011111) + + assert -Integer(0b01010101) | Integer(0b11011011) == Integer(-0b01010101 | 0b11011011) + assert Integer(-0b01010101) | 0b11011011 == Integer(-0b01010101 | 0b11011011) + assert -0b01010101 | Integer(0b11011011) == Integer(-0b01010101 | 0b11011011) + + assert Integer(0b01010101) | -Integer(0b11011011) == Integer(0b01010101 | -0b11011011) + assert Integer(0b01010101) | -0b11011011 == Integer(0b01010101 | -0b11011011) + assert 0b01010101 | Integer(-0b11011011) == Integer(0b01010101 | -0b11011011) + + raises(TypeError, lambda: Integer(2) | 0.0) + raises(TypeError, lambda: 0.0 | Integer(2)) + + +def test_invert_Integer(): + assert ~Integer(0b01010101) == Integer(-0b01010110) + assert ~Integer(0b01010101) == Integer(~0b01010101) + assert ~(~Integer(0b01010101)) == Integer(0b01010101) + + +def test_abs1(): + assert Rational(1, 6) != Rational(-1, 6) + assert abs(Rational(1, 6)) == abs(Rational(-1, 6)) + + +def test_accept_int(): + assert not Float(4) == 4 + assert Float(4) != 4 + assert Float(4) == 4.0 + + +def test_dont_accept_str(): + assert Float("0.2") != "0.2" + assert not (Float("0.2") == "0.2") + + +def test_int(): + a = Rational(5) + assert int(a) == 5 + a = Rational(9, 10) + assert int(a) == int(-a) == 0 + assert 1/(-1)**Rational(2, 3) == -(-1)**Rational(1, 3) + # issue 10368 + a = Rational(32442016954, 78058255275) + assert type(int(a)) is type(int(-a)) is int + + +def test_int_NumberSymbols(): + assert int(Catalan) == 0 + assert int(EulerGamma) == 0 + assert int(pi) == 3 + assert int(E) == 2 + assert int(GoldenRatio) == 1 + assert int(TribonacciConstant) == 1 + for i in [Catalan, E, EulerGamma, GoldenRatio, TribonacciConstant, pi]: + a, b = i.approximation_interval(Integer) + ia = int(i) + assert ia == a + assert isinstance(ia, int) + assert b == a + 1 + assert a.is_Integer and b.is_Integer + + +def test_real_bug(): + x = Symbol("x") + assert str(2.0*x*x) in ["(2.0*x)*x", "2.0*x**2", "2.00000000000000*x**2"] + assert str(2.1*x*x) != "(2.0*x)*x" + + +def test_bug_sqrt(): + assert ((sqrt(Rational(2)) + 1)*(sqrt(Rational(2)) - 1)).expand() == 1 + + +def test_pi_Pi(): + "Test that pi (instance) is imported, but Pi (class) is not" + from sympy import pi # noqa + with raises(ImportError): + from sympy import Pi # noqa + + +def test_no_len(): + # there should be no len for numbers + raises(TypeError, lambda: len(Rational(2))) + raises(TypeError, lambda: len(Rational(2, 3))) + raises(TypeError, lambda: len(Integer(2))) + + +def test_issue_3321(): + assert sqrt(Rational(1, 5)) == Rational(1, 5)**S.Half + assert 5 * sqrt(Rational(1, 5)) == sqrt(5) + + +def test_issue_3692(): + assert ((-1)**Rational(1, 6)).expand(complex=True) == I/2 + sqrt(3)/2 + assert ((-5)**Rational(1, 6)).expand(complex=True) == \ + 5**Rational(1, 6)*I/2 + 5**Rational(1, 6)*sqrt(3)/2 + assert ((-64)**Rational(1, 6)).expand(complex=True) == I + sqrt(3) + + +def test_issue_3423(): + x = Symbol("x") + assert sqrt(x - 1).as_base_exp() == (x - 1, S.Half) + assert sqrt(x - 1) != I*sqrt(1 - x) + + +def test_issue_3449(): + x = Symbol("x") + assert sqrt(x - 1).subs(x, 5) == 2 + + +def test_issue_13890(): + x = Symbol("x") + e = (-x/4 - S.One/12)**x - 1 + f = simplify(e) + a = Rational(9, 5) + assert abs(e.subs(x,a).evalf() - f.subs(x,a).evalf()) < 1e-15 + + +def test_Integer_factors(): + def F(i): + return Integer(i).factors() + + assert F(1) == {} + assert F(2) == {2: 1} + assert F(3) == {3: 1} + assert F(4) == {2: 2} + assert F(5) == {5: 1} + assert F(6) == {2: 1, 3: 1} + assert F(7) == {7: 1} + assert F(8) == {2: 3} + assert F(9) == {3: 2} + assert F(10) == {2: 1, 5: 1} + assert F(11) == {11: 1} + assert F(12) == {2: 2, 3: 1} + assert F(13) == {13: 1} + assert F(14) == {2: 1, 7: 1} + assert F(15) == {3: 1, 5: 1} + assert F(16) == {2: 4} + assert F(17) == {17: 1} + assert F(18) == {2: 1, 3: 2} + assert F(19) == {19: 1} + assert F(20) == {2: 2, 5: 1} + assert F(21) == {3: 1, 7: 1} + assert F(22) == {2: 1, 11: 1} + assert F(23) == {23: 1} + assert F(24) == {2: 3, 3: 1} + assert F(25) == {5: 2} + assert F(26) == {2: 1, 13: 1} + assert F(27) == {3: 3} + assert F(28) == {2: 2, 7: 1} + assert F(29) == {29: 1} + assert F(30) == {2: 1, 3: 1, 5: 1} + assert F(31) == {31: 1} + assert F(32) == {2: 5} + assert F(33) == {3: 1, 11: 1} + assert F(34) == {2: 1, 17: 1} + assert F(35) == {5: 1, 7: 1} + assert F(36) == {2: 2, 3: 2} + assert F(37) == {37: 1} + assert F(38) == {2: 1, 19: 1} + assert F(39) == {3: 1, 13: 1} + assert F(40) == {2: 3, 5: 1} + assert F(41) == {41: 1} + assert F(42) == {2: 1, 3: 1, 7: 1} + assert F(43) == {43: 1} + assert F(44) == {2: 2, 11: 1} + assert F(45) == {3: 2, 5: 1} + assert F(46) == {2: 1, 23: 1} + assert F(47) == {47: 1} + assert F(48) == {2: 4, 3: 1} + assert F(49) == {7: 2} + assert F(50) == {2: 1, 5: 2} + assert F(51) == {3: 1, 17: 1} + + +def test_Rational_factors(): + def F(p, q, visual=None): + return Rational(p, q).factors(visual=visual) + + assert F(2, 3) == {2: 1, 3: -1} + assert F(2, 9) == {2: 1, 3: -2} + assert F(2, 15) == {2: 1, 3: -1, 5: -1} + assert F(6, 10) == {3: 1, 5: -1} + + +def test_issue_4107(): + assert pi*(E + 10) + pi*(-E - 10) != 0 + assert pi*(E + 10**10) + pi*(-E - 10**10) != 0 + assert pi*(E + 10**20) + pi*(-E - 10**20) != 0 + assert pi*(E + 10**80) + pi*(-E - 10**80) != 0 + + assert (pi*(E + 10) + pi*(-E - 10)).expand() == 0 + assert (pi*(E + 10**10) + pi*(-E - 10**10)).expand() == 0 + assert (pi*(E + 10**20) + pi*(-E - 10**20)).expand() == 0 + assert (pi*(E + 10**80) + pi*(-E - 10**80)).expand() == 0 + + +def test_IntegerInteger(): + a = Integer(4) + b = Integer(a) + + assert a == b + + +def test_Rational_gcd_lcm_cofactors(): + assert Integer(4).gcd(2) == Integer(2) + assert Integer(4).lcm(2) == Integer(4) + assert Integer(4).gcd(Integer(2)) == Integer(2) + assert Integer(4).lcm(Integer(2)) == Integer(4) + a, b = 720**99911, 480**12342 + assert Integer(a).lcm(b) == a*b/Integer(a).gcd(b) + + assert Integer(4).gcd(3) == Integer(1) + assert Integer(4).lcm(3) == Integer(12) + assert Integer(4).gcd(Integer(3)) == Integer(1) + assert Integer(4).lcm(Integer(3)) == Integer(12) + + assert Rational(4, 3).gcd(2) == Rational(2, 3) + assert Rational(4, 3).lcm(2) == Integer(4) + assert Rational(4, 3).gcd(Integer(2)) == Rational(2, 3) + assert Rational(4, 3).lcm(Integer(2)) == Integer(4) + + assert Integer(4).gcd(Rational(2, 9)) == Rational(2, 9) + assert Integer(4).lcm(Rational(2, 9)) == Integer(4) + + assert Rational(4, 3).gcd(Rational(2, 9)) == Rational(2, 9) + assert Rational(4, 3).lcm(Rational(2, 9)) == Rational(4, 3) + assert Rational(4, 5).gcd(Rational(2, 9)) == Rational(2, 45) + assert Rational(4, 5).lcm(Rational(2, 9)) == Integer(4) + assert Rational(5, 9).lcm(Rational(3, 7)) == Rational(Integer(5).lcm(3),Integer(9).gcd(7)) + + assert Integer(4).cofactors(2) == (Integer(2), Integer(2), Integer(1)) + assert Integer(4).cofactors(Integer(2)) == \ + (Integer(2), Integer(2), Integer(1)) + + assert Integer(4).gcd(Float(2.0)) == Float(1.0) + assert Integer(4).lcm(Float(2.0)) == Float(8.0) + assert Integer(4).cofactors(Float(2.0)) == (Float(1.0), Float(4.0), Float(2.0)) + + assert S.Half.gcd(Float(2.0)) == Float(1.0) + assert S.Half.lcm(Float(2.0)) == Float(1.0) + assert S.Half.cofactors(Float(2.0)) == \ + (Float(1.0), Float(0.5), Float(2.0)) + + +def test_Float_gcd_lcm_cofactors(): + assert Float(2.0).gcd(Integer(4)) == Float(1.0) + assert Float(2.0).lcm(Integer(4)) == Float(8.0) + assert Float(2.0).cofactors(Integer(4)) == (Float(1.0), Float(2.0), Float(4.0)) + + assert Float(2.0).gcd(S.Half) == Float(1.0) + assert Float(2.0).lcm(S.Half) == Float(1.0) + assert Float(2.0).cofactors(S.Half) == \ + (Float(1.0), Float(2.0), Float(0.5)) + + +def test_issue_4611(): + assert abs(pi._evalf(50) - 3.14159265358979) < 1e-10 + assert abs(E._evalf(50) - 2.71828182845905) < 1e-10 + assert abs(Catalan._evalf(50) - 0.915965594177219) < 1e-10 + assert abs(EulerGamma._evalf(50) - 0.577215664901533) < 1e-10 + assert abs(GoldenRatio._evalf(50) - 1.61803398874989) < 1e-10 + assert abs(TribonacciConstant._evalf(50) - 1.83928675521416) < 1e-10 + + x = Symbol("x") + assert (pi + x).evalf() == pi.evalf() + x + assert (E + x).evalf() == E.evalf() + x + assert (Catalan + x).evalf() == Catalan.evalf() + x + assert (EulerGamma + x).evalf() == EulerGamma.evalf() + x + assert (GoldenRatio + x).evalf() == GoldenRatio.evalf() + x + assert (TribonacciConstant + x).evalf() == TribonacciConstant.evalf() + x + + +@conserve_mpmath_dps +def test_conversion_to_mpmath(): + assert mpmath.mpmathify(Integer(1)) == mpmath.mpf(1) + assert mpmath.mpmathify(S.Half) == mpmath.mpf(0.5) + assert mpmath.mpmathify(Float('1.23', 15)) == mpmath.mpf('1.23') + + assert mpmath.mpmathify(I) == mpmath.mpc(1j) + + assert mpmath.mpmathify(1 + 2*I) == mpmath.mpc(1 + 2j) + assert mpmath.mpmathify(1.0 + 2*I) == mpmath.mpc(1 + 2j) + assert mpmath.mpmathify(1 + 2.0*I) == mpmath.mpc(1 + 2j) + assert mpmath.mpmathify(1.0 + 2.0*I) == mpmath.mpc(1 + 2j) + assert mpmath.mpmathify(S.Half + S.Half*I) == mpmath.mpc(0.5 + 0.5j) + + assert mpmath.mpmathify(2*I) == mpmath.mpc(2j) + assert mpmath.mpmathify(2.0*I) == mpmath.mpc(2j) + assert mpmath.mpmathify(S.Half*I) == mpmath.mpc(0.5j) + + mpmath.mp.dps = 100 + assert mpmath.mpmathify(pi.evalf(100) + pi.evalf(100)*I) == mpmath.pi + mpmath.pi*mpmath.j + assert mpmath.mpmathify(pi.evalf(100)*I) == mpmath.pi*mpmath.j + + +def test_relational(): + # real + x = S(.1) + assert (x != cos) is True + assert (x == cos) is False + + # rational + x = Rational(1, 3) + assert (x != cos) is True + assert (x == cos) is False + + # integer defers to rational so these tests are omitted + + # number symbol + x = pi + assert (x != cos) is True + assert (x == cos) is False + + +def test_Integer_as_index(): + assert 'hello'[Integer(2):] == 'llo' + + +def test_Rational_int(): + assert int( Rational(7, 5)) == 1 + assert int( S.Half) == 0 + assert int(Rational(-1, 2)) == 0 + assert int(-Rational(7, 5)) == -1 + + +def test_zoo(): + b = Symbol('b', finite=True) + nz = Symbol('nz', nonzero=True) + p = Symbol('p', positive=True) + n = Symbol('n', negative=True) + im = Symbol('i', imaginary=True) + c = Symbol('c', complex=True) + pb = Symbol('pb', positive=True) + nb = Symbol('nb', negative=True) + imb = Symbol('ib', imaginary=True, finite=True) + for i in [I, S.Infinity, S.NegativeInfinity, S.Zero, S.One, S.Pi, S.Half, S(3), log(3), + b, nz, p, n, im, pb, nb, imb, c]: + if i.is_finite and (i.is_real or i.is_imaginary): + assert i + zoo is zoo + assert i - zoo is zoo + assert zoo + i is zoo + assert zoo - i is zoo + elif i.is_finite is not False: + assert (i + zoo).is_Add + assert (i - zoo).is_Add + assert (zoo + i).is_Add + assert (zoo - i).is_Add + else: + assert (i + zoo) is S.NaN + assert (i - zoo) is S.NaN + assert (zoo + i) is S.NaN + assert (zoo - i) is S.NaN + + if fuzzy_not(i.is_zero) and (i.is_extended_real or i.is_imaginary): + assert i*zoo is zoo + assert zoo*i is zoo + elif i.is_zero: + assert i*zoo is S.NaN + assert zoo*i is S.NaN + else: + assert (i*zoo).is_Mul + assert (zoo*i).is_Mul + + if fuzzy_not((1/i).is_zero) and (i.is_real or i.is_imaginary): + assert zoo/i is zoo + elif (1/i).is_zero: + assert zoo/i is S.NaN + elif i.is_zero: + assert zoo/i is zoo + else: + assert (zoo/i).is_Mul + + assert (I*oo).is_Mul # allow directed infinity + assert zoo + zoo is S.NaN + assert zoo * zoo is zoo + assert zoo - zoo is S.NaN + assert zoo/zoo is S.NaN + assert zoo**zoo is S.NaN + assert zoo**0 is S.One + assert zoo**2 is zoo + assert 1/zoo is S.Zero + + assert Mul.flatten([S.NegativeOne, oo, S(0)]) == ([S.NaN], [], None) + + +def test_issue_4122(): + x = Symbol('x', nonpositive=True) + assert oo + x is oo + x = Symbol('x', extended_nonpositive=True) + assert (oo + x).is_Add + x = Symbol('x', finite=True) + assert (oo + x).is_Add # x could be imaginary + x = Symbol('x', nonnegative=True) + assert oo + x is oo + x = Symbol('x', extended_nonnegative=True) + assert oo + x is oo + x = Symbol('x', finite=True, real=True) + assert oo + x is oo + + # similarly for negative infinity + x = Symbol('x', nonnegative=True) + assert -oo + x is -oo + x = Symbol('x', extended_nonnegative=True) + assert (-oo + x).is_Add + x = Symbol('x', finite=True) + assert (-oo + x).is_Add + x = Symbol('x', nonpositive=True) + assert -oo + x is -oo + x = Symbol('x', extended_nonpositive=True) + assert -oo + x is -oo + x = Symbol('x', finite=True, real=True) + assert -oo + x is -oo + + +def test_GoldenRatio_expand(): + assert GoldenRatio.expand(func=True) == S.Half + sqrt(5)/2 + + +def test_TribonacciConstant_expand(): + assert TribonacciConstant.expand(func=True) == \ + (1 + cbrt(19 - 3*sqrt(33)) + cbrt(19 + 3*sqrt(33))) / 3 + + +def test_as_content_primitive(): + assert S.Zero.as_content_primitive() == (1, 0) + assert S.Half.as_content_primitive() == (S.Half, 1) + assert (Rational(-1, 2)).as_content_primitive() == (S.Half, -1) + assert S(3).as_content_primitive() == (3, 1) + assert S(3.1).as_content_primitive() == (1, 3.1) + + +def test_hashing_sympy_integers(): + # Test for issue 5072 + assert {Integer(3)} == {int(3)} + assert hash(Integer(4)) == hash(int(4)) + + +def test_rounding_issue_4172(): + assert int((E**100).round()) == \ + 26881171418161354484126255515800135873611119 + assert int((pi**100).round()) == \ + 51878483143196131920862615246303013562686760680406 + assert int((Rational(1)/EulerGamma**100).round()) == \ + 734833795660954410469466 + + +@XFAIL +def test_mpmath_issues(): + from mpmath.libmp.libmpf import _normalize + import mpmath.libmp as mlib + rnd = mlib.round_nearest + mpf = (0, int(0), -123, -1, 53, rnd) # nan + assert _normalize(mpf, 53) != (0, int(0), 0, 0) + mpf = (0, int(0), -456, -2, 53, rnd) # +inf + assert _normalize(mpf, 53) != (0, int(0), 0, 0) + mpf = (1, int(0), -789, -3, 53, rnd) # -inf + assert _normalize(mpf, 53) != (0, int(0), 0, 0) + + from mpmath.libmp.libmpf import fnan + assert mlib.mpf_eq(fnan, fnan) + + +def test_Catalan_EulerGamma_prec(): + n = GoldenRatio + f = Float(n.n(), 5) + assert f._mpf_ == (0, int(212079), -17, 18) + assert f._prec == 20 + assert n._as_mpf_val(20) == f._mpf_ + + n = EulerGamma + f = Float(n.n(), 5) + assert f._mpf_ == (0, int(302627), -19, 19) + assert f._prec == 20 + assert n._as_mpf_val(20) == f._mpf_ + + +def test_Catalan_rewrite(): + k = Dummy('k', integer=True, nonnegative=True) + assert Catalan.rewrite(Sum).dummy_eq( + Sum((-1)**k/(2*k + 1)**2, (k, 0, oo))) + assert Catalan.rewrite() == Catalan + + +def test_bool_eq(): + assert 0 == False + assert S(0) == False + assert S(0) != S.false + assert 1 == True + assert S.One == True + assert S.One != S.true + + +def test_Float_eq(): + # Floats with different precision should not compare equal + assert Float(.5, 10) != Float(.5, 11) != Float(.5, 1) + # but floats that aren't exact in base-2 still + # don't compare the same because they have different + # underlying mpf values + assert Float(.12, 3) != Float(.12, 4) + assert Float(.12, 3) != .12 + assert 0.12 != Float(.12, 3) + assert Float('.12', 22) != .12 + # issue 11707 + # but Float/Rational -- except for 0 -- + # are exact so Rational(x) = Float(y) only if + # Rational(x) == Rational(Float(y)) + assert Float('1.1') != Rational(11, 10) + assert Rational(11, 10) != Float('1.1') + # coverage + assert not Float(3) == 2 + assert not Float(3) == Float(2) + assert not Float(3) == 3 + assert not Float(2**2) == S.Half + assert Float(2**2) == 4.0 + assert not Float(2**-2) == 1 + assert Float(2**-1) == 0.5 + assert not Float(2*3) == 3 + assert not Float(2*3) == 0.5 + assert Float(2*3) == 6.0 + assert not Float(2*3) == 6 + assert not Float(2*3) == 8 + assert not Float(.75) == Rational(3, 4) + assert Float(.75) == 0.75 + assert Float(5/18) == 5/18 + # 4473 + assert Float(2.) != 3 + assert not Float((0,1,-3)) == S.One/8 + assert Float((0,1,-3)) == 1/8 + assert Float((0,1,-3)) != S.One/9 + # 16196 + assert not 2 == Float(2) # unlike Python + assert t**2 != t**2.0 + + +def test_issue_6640(): + from mpmath.libmp.libmpf import finf, fninf + # fnan is not included because Float no longer returns fnan, + # but otherwise, the same sort of test could apply + assert Float(finf).is_zero is False + assert Float(fninf).is_zero is False + assert bool(Float(0)) is False + + +def test_issue_6349(): + assert Float('23.e3', '')._prec == 10 + assert Float('23e3', '')._prec == 20 + assert Float('23000', '')._prec == 20 + assert Float('-23000', '')._prec == 20 + + +def test_mpf_norm(): + assert mpf_norm((1, 0, 1, 0), 10) == mpf('0')._mpf_ + assert Float._new((1, 0, 1, 0), 10)._mpf_ == mpf('0')._mpf_ + + +def test_latex(): + assert latex(pi) == r"\pi" + assert latex(E) == r"e" + assert latex(GoldenRatio) == r"\phi" + assert latex(TribonacciConstant) == r"\text{TribonacciConstant}" + assert latex(EulerGamma) == r"\gamma" + assert latex(oo) == r"\infty" + assert latex(-oo) == r"-\infty" + assert latex(zoo) == r"\tilde{\infty}" + assert latex(nan) == r"\text{NaN}" + assert latex(I) == r"i" + + +def test_issue_7742(): + assert -oo % 1 is nan + + +def test_simplify_AlgebraicNumber(): + A = AlgebraicNumber + e = 3**(S.One/6)*(3 + (135 + 78*sqrt(3))**Rational(2, 3))/(45 + 26*sqrt(3))**(S.One/3) + assert simplify(A(e)) == A(12) # wester test_C20 + + e = (41 + 29*sqrt(2))**(S.One/5) + assert simplify(A(e)) == A(1 + sqrt(2)) # wester test_C21 + + e = (3 + 4*I)**Rational(3, 2) + assert simplify(A(e)) == A(2 + 11*I) # issue 4401 + + +def test_Float_idempotence(): + x = Float('1.23', '') + y = Float(x) + z = Float(x, 15) + assert same_and_same_prec(y, x) + assert not same_and_same_prec(z, x) + x = Float(10**20) + y = Float(x) + z = Float(x, 15) + assert same_and_same_prec(y, x) + assert not same_and_same_prec(z, x) + + +def test_comp1(): + # sqrt(2) = 1.414213 5623730950... + a = sqrt(2).n(7) + assert comp(a, 1.4142129) is False + assert comp(a, 1.4142130) + # ... + assert comp(a, 1.4142141) + assert comp(a, 1.4142142) is False + assert comp(sqrt(2).n(2), '1.4') + assert comp(sqrt(2).n(2), Float(1.4, 2), '') + assert comp(sqrt(2).n(2), 1.4, '') + assert comp(sqrt(2).n(2), Float(1.4, 3), '') is False + assert comp(sqrt(2) + sqrt(3)*I, 1.4 + 1.7*I, .1) + assert not comp(sqrt(2) + sqrt(3)*I, (1.5 + 1.7*I)*0.89, .1) + assert comp(sqrt(2) + sqrt(3)*I, (1.5 + 1.7*I)*0.90, .1) + assert comp(sqrt(2) + sqrt(3)*I, (1.5 + 1.7*I)*1.07, .1) + assert not comp(sqrt(2) + sqrt(3)*I, (1.5 + 1.7*I)*1.08, .1) + assert [(i, j) + for i in range(130, 150) + for j in range(170, 180) + if comp((sqrt(2)+ I*sqrt(3)).n(3), i/100. + I*j/100.)] == [ + (141, 173), (142, 173)] + raises(ValueError, lambda: comp(t, '1')) + raises(ValueError, lambda: comp(t, 1)) + assert comp(0, 0.0) + assert comp(.5, S.Half) + assert comp(2 + sqrt(2), 2.0 + sqrt(2)) + assert not comp(0, 1) + assert not comp(2, sqrt(2)) + assert not comp(2 + I, 2.0 + sqrt(2)) + assert not comp(2.0 + sqrt(2), 2 + I) + assert not comp(2.0 + sqrt(2), sqrt(3)) + assert comp(1/pi.n(4), 0.3183, 1e-5) + assert not comp(1/pi.n(4), 0.3183, 8e-6) + + +def test_issue_9491(): + assert oo**zoo is nan + + +def test_issue_10063(): + assert 2**Float(3) == Float(8) + + +def test_issue_10020(): + assert oo**I is S.NaN + assert oo**(1 + I) is S.ComplexInfinity + assert oo**(-1 + I) is S.Zero + assert (-oo)**I is S.NaN + assert (-oo)**(-1 + I) is S.Zero + assert oo**t == Pow(oo, t, evaluate=False) + assert (-oo)**t == Pow(-oo, t, evaluate=False) + + +def test_invert_numbers(): + assert S(2).invert(5) == 3 + assert S(2).invert(Rational(5, 2)) == S.Half + assert S(2).invert(5.) == S.Half + assert S(2).invert(S(5)) == 3 + assert S(2.).invert(5) == 0.5 + assert S(sqrt(2)).invert(5) == 1/sqrt(2) + assert S(sqrt(2)).invert(sqrt(3)) == 1/sqrt(2) + + +def test_mod_inverse(): + assert mod_inverse(3, 11) == 4 + assert mod_inverse(5, 11) == 9 + assert mod_inverse(21124921, 521512) == 7713 + assert mod_inverse(124215421, 5125) == 2981 + assert mod_inverse(214, 12515) == 1579 + assert mod_inverse(5823991, 3299) == 1442 + assert mod_inverse(123, 44) == 39 + assert mod_inverse(2, 5) == 3 + assert mod_inverse(-2, 5) == 2 + assert mod_inverse(2, -5) == -2 + assert mod_inverse(-2, -5) == -3 + assert mod_inverse(-3, -7) == -5 + x = Symbol('x') + assert S(2).invert(x) == S.Half + raises(TypeError, lambda: mod_inverse(2, x)) + raises(ValueError, lambda: mod_inverse(2, S.Half)) + raises(ValueError, lambda: mod_inverse(2, cos(1)**2 + sin(1)**2)) + + +def test_golden_ratio_rewrite_as_sqrt(): + assert GoldenRatio.rewrite(sqrt) == S.Half + sqrt(5)*S.Half + + +def test_tribonacci_constant_rewrite_as_sqrt(): + assert TribonacciConstant.rewrite(sqrt) == \ + (1 + cbrt(19 - 3*sqrt(33)) + cbrt(19 + 3*sqrt(33))) / 3 + + +def test_comparisons_with_unknown_type(): + class Foo: + """ + Class that is unaware of Basic, and relies on both classes returning + the NotImplemented singleton for equivalence to evaluate to False. + + """ + + ni, nf, nr = Integer(3), Float(1.0), Rational(1, 3) + foo = Foo() + + for n in ni, nf, nr, oo, -oo, zoo, nan: + assert n != foo + assert foo != n + assert not n == foo + assert not foo == n + raises(TypeError, lambda: n < foo) + raises(TypeError, lambda: foo > n) + raises(TypeError, lambda: n > foo) + raises(TypeError, lambda: foo < n) + raises(TypeError, lambda: n <= foo) + raises(TypeError, lambda: foo >= n) + raises(TypeError, lambda: n >= foo) + raises(TypeError, lambda: foo <= n) + + class Bar: + """ + Class that considers itself equal to any instance of Number except + infinities and nans, and relies on SymPy types returning the + NotImplemented singleton for symmetric equality relations. + + """ + def __eq__(self, other): + if other in (oo, -oo, zoo, nan): + return False + if isinstance(other, Number): + return True + return NotImplemented + + def __ne__(self, other): + return not self == other + + bar = Bar() + + for n in ni, nf, nr: + assert n == bar + assert bar == n + assert not n != bar + assert not bar != n + + for n in oo, -oo, zoo, nan: + assert n != bar + assert bar != n + assert not n == bar + assert not bar == n + + for n in ni, nf, nr, oo, -oo, zoo, nan: + raises(TypeError, lambda: n < bar) + raises(TypeError, lambda: bar > n) + raises(TypeError, lambda: n > bar) + raises(TypeError, lambda: bar < n) + raises(TypeError, lambda: n <= bar) + raises(TypeError, lambda: bar >= n) + raises(TypeError, lambda: n >= bar) + raises(TypeError, lambda: bar <= n) + + +def test_NumberSymbol_comparison(): + from sympy.core.tests.test_relational import rel_check + rpi = Rational('905502432259640373/288230376151711744') + fpi = Float(float(pi)) + assert rel_check(rpi, fpi) + + +def test_Integer_precision(): + # Make sure Integer inputs for keyword args work + assert Float('1.0', dps=Integer(15))._prec == 53 + assert Float('1.0', precision=Integer(15))._prec == 15 + assert type(Float('1.0', precision=Integer(15))._prec) == int + assert sympify(srepr(Float('1.0', precision=15))) == Float('1.0', precision=15) + + +def test_numpy_to_float(): + from sympy.testing.pytest import skip + from sympy.external import import_module + np = import_module('numpy') + if not np: + skip('numpy not installed. Abort numpy tests.') + + def check_prec_and_relerr(npval, ratval): + prec = np.finfo(npval).nmant + 1 + x = Float(npval) + assert x._prec == prec + y = Float(ratval, precision=prec) + assert abs((x - y)/y) < 2**(-(prec + 1)) + + check_prec_and_relerr(np.float16(2.0/3), Rational(2, 3)) + check_prec_and_relerr(np.float32(2.0/3), Rational(2, 3)) + check_prec_and_relerr(np.float64(2.0/3), Rational(2, 3)) + # extended precision, on some arch/compilers: + x = np.longdouble(2)/3 + check_prec_and_relerr(x, Rational(2, 3)) + y = Float(x, precision=10) + assert same_and_same_prec(y, Float(Rational(2, 3), precision=10)) + + raises(TypeError, lambda: Float(np.complex64(1+2j))) + raises(TypeError, lambda: Float(np.complex128(1+2j))) + + +def test_Integer_ceiling_floor(): + a = Integer(4) + + assert a.floor() == a + assert a.ceiling() == a + + +def test_ComplexInfinity(): + assert zoo.floor() is zoo + assert zoo.ceiling() is zoo + assert zoo**zoo is S.NaN + + +def test_Infinity_floor_ceiling_power(): + assert oo.floor() is oo + assert oo.ceiling() is oo + assert oo**S.NaN is S.NaN + assert oo**zoo is S.NaN + + +def test_One_power(): + assert S.One**12 is S.One + assert S.NegativeOne**S.NaN is S.NaN + + +def test_NegativeInfinity(): + assert (-oo).floor() is -oo + assert (-oo).ceiling() is -oo + assert (-oo)**11 is -oo + assert (-oo)**12 is oo + + +def test_issue_6133(): + raises(TypeError, lambda: (-oo < None)) + raises(TypeError, lambda: (S(-2) < None)) + raises(TypeError, lambda: (oo < None)) + raises(TypeError, lambda: (oo > None)) + raises(TypeError, lambda: (S(2) < None)) + + +def test_abc(): + x = numbers.Float(5) + assert(isinstance(x, nums.Number)) + assert(isinstance(x, numbers.Number)) + assert(isinstance(x, nums.Real)) + y = numbers.Rational(1, 3) + assert(isinstance(y, nums.Number)) + assert(y.numerator == 1) + assert(y.denominator == 3) + assert(isinstance(y, nums.Rational)) + z = numbers.Integer(3) + assert(isinstance(z, nums.Number)) + assert(isinstance(z, numbers.Number)) + assert(isinstance(z, nums.Rational)) + assert(isinstance(z, numbers.Rational)) + assert(isinstance(z, nums.Integral)) + + +def test_floordiv(): + assert S(2)//S.Half == 4 + + +def test_negation(): + assert -S.Zero is S.Zero + assert -Float(0) is not S.Zero and -Float(0) == 0.0 + + +def test_exponentiation_of_0(): + x = Symbol('x') + assert 0**-x == zoo**x + assert unchanged(Pow, 0, x) + x = Symbol('x', zero=True) + assert 0**-x == S.One + assert 0**x == S.One + + +def test_int_valued(): + x = Symbol('x') + assert int_valued(x) == False + assert int_valued(S.Half) == False + assert int_valued(S.One) == True + assert int_valued(Float(1)) == True + assert int_valued(Float(1.1)) == False + assert int_valued(pi) == False + + +def test_equal_valued(): + x = Symbol('x') + + equal_values = [ + [1, 1.0, S(1), S(1.0), S(1).n(5)], + [2, 2.0, S(2), S(2.0), S(2).n(5)], + [-1, -1.0, -S(1), -S(1.0), -S(1).n(5)], + [0.5, S(0.5), S(1)/2], + [-0.5, -S(0.5), -S(1)/2], + [0, 0.0, S(0), S(0.0), S(0).n()], + [pi], [pi.n()], # <-- not equal + [S(1)/10], [0.1, S(0.1)], # <-- not equal + [S(0.1).n(5)], + [oo], + [cos(x/2)], [cos(0.5*x)], # <-- no recursion + ] + + for m, values_m in enumerate(equal_values): + for value_i in values_m: + + # All values in same list equal + for value_j in values_m: + assert equal_valued(value_i, value_j) is True + + # Not equal to anything in any other list: + for n, values_n in enumerate(equal_values): + if n == m: + continue + for value_j in values_n: + assert equal_valued(value_i, value_j) is False + + +def test_all_close(): + x = Symbol('x') + y = Symbol('y') + z = Symbol('z') + assert all_close(2, 2) is True + assert all_close(2, 2.0000) is True + assert all_close(2, 2.0001) is False + assert all_close(1/3, 1/3.0001) is False + assert all_close(1/3, 1/3.0001, 1e-3, 1e-3) is True + assert all_close(1/3, Rational(1, 3)) is True + assert all_close(0.1*exp(0.2*x), exp(x/5)/10) is True + # The expressions should be structurally the same modulo identity: + assert all_close(1.4142135623730951, sqrt(2)) is False + assert all_close(1.4142135623730951, sqrt(2).evalf()) is True + assert all_close(x + 1e-20, x) is True + # We should be able to match terms of an Add/Mul in any order + assert all_close(Add(1, 2, evaluate=False), Add(2, 1, evaluate=False)) + # coverage + assert not all_close(2*x, 3*x) + assert all_close(2*x, 3*x, 1) + assert not all_close(2*x, 3*x, 0, 0.5) + assert all_close(2*x, 3*x, 0, 1) + assert not all_close(y*x, z*x) + assert all_close(2*x*exp(1.0*x), 2.0*x*exp(x)) + assert not all_close(2*x*exp(1.0*x), 2.0*x*exp(2.*x)) + assert all_close(x + 2.*y, 1.*x + 2*y) + assert all_close(x + exp(2.*x)*y, 1.*x + exp(2*x)*y) + assert not all_close(x + exp(2.*x)*y, 1.*x + 2*exp(2*x)*y) + assert not all_close(x + exp(2.*x)*y, 1.*x + exp(3*x)*y) + assert not all_close(x + 2.*y, 1.*x + 3*y) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_operations.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_operations.py new file mode 100644 index 0000000000000000000000000000000000000000..c60d691ef00ee9601ada04ef68e2db37794a81ad --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_operations.py @@ -0,0 +1,110 @@ +from sympy.core.expr import Expr +from sympy.core.numbers import Integer +from sympy.core.singleton import S +from sympy.core.symbol import (Symbol, symbols) +from sympy.core.operations import AssocOp, LatticeOp +from sympy.testing.pytest import raises +from sympy.core.sympify import SympifyError +from sympy.core.add import Add, add +from sympy.core.mul import Mul, mul + +# create the simplest possible Lattice class + + +class join(LatticeOp): + zero = Integer(0) + identity = Integer(1) + + +def test_lattice_simple(): + assert join(join(2, 3), 4) == join(2, join(3, 4)) + assert join(2, 3) == join(3, 2) + assert join(0, 2) == 0 + assert join(1, 2) == 2 + assert join(2, 2) == 2 + + assert join(join(2, 3), 4) == join(2, 3, 4) + assert join() == 1 + assert join(4) == 4 + assert join(1, 4, 2, 3, 1, 3, 2) == join(2, 3, 4) + + +def test_lattice_shortcircuit(): + raises(SympifyError, lambda: join(object)) + assert join(0, object) == 0 + + +def test_lattice_print(): + assert str(join(5, 4, 3, 2)) == 'join(2, 3, 4, 5)' + + +def test_lattice_make_args(): + assert join.make_args(join(2, 3, 4)) == {S(2), S(3), S(4)} + assert join.make_args(0) == {0} + assert list(join.make_args(0))[0] is S.Zero + assert Add.make_args(0)[0] is S.Zero + + +def test_issue_14025(): + a, b, c, d = symbols('a,b,c,d', commutative=False) + assert Mul(a, b, c).has(c*b) == False + assert Mul(a, b, c).has(b*c) == True + assert Mul(a, b, c, d).has(b*c*d) == True + + +def test_AssocOp_flatten(): + a, b, c, d = symbols('a,b,c,d') + + class MyAssoc(AssocOp): + identity = S.One + + assert MyAssoc(a, MyAssoc(b, c)).args == \ + MyAssoc(MyAssoc(a, b), c).args == \ + MyAssoc(MyAssoc(a, b, c)).args == \ + MyAssoc(a, b, c).args == \ + (a, b, c) + u = MyAssoc(b, c) + v = MyAssoc(u, d, evaluate=False) + assert v.args == (u, d) + # like Add, any unevaluated outer call will flatten inner args + assert MyAssoc(a, v).args == (a, b, c, d) + + +def test_add_dispatcher(): + + class NewBase(Expr): + @property + def _add_handler(self): + return NewAdd + class NewAdd(NewBase, Add): + pass + add.register_handlerclass((Add, NewAdd), NewAdd) + + a, b = Symbol('a'), NewBase() + + # Add called as fallback + assert add(1, 2) == Add(1, 2) + assert add(a, a) == Add(a, a) + + # selection by registered priority + assert add(a,b,a) == NewAdd(2*a, b) + + +def test_mul_dispatcher(): + + class NewBase(Expr): + @property + def _mul_handler(self): + return NewMul + class NewMul(NewBase, Mul): + pass + mul.register_handlerclass((Mul, NewMul), NewMul) + + a, b = Symbol('a'), NewBase() + + # Mul called as fallback + assert mul(1, 2) == Mul(1, 2) + assert mul(a, a) == Mul(a, a) + + # selection by registered priority + assert mul(a,b,a) == NewMul(a**2, b) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_parameters.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_parameters.py new file mode 100644 index 0000000000000000000000000000000000000000..21e03d717872a9a8165ceeebf7ef58e9842702c0 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_parameters.py @@ -0,0 +1,126 @@ +from sympy.abc import x, y +from sympy.core.parameters import evaluate +from sympy.core import Mul, Add, Pow, S +from sympy.core.numbers import oo +from sympy.functions.elementary.miscellaneous import sqrt + +def test_add(): + with evaluate(False): + p = oo - oo + assert isinstance(p, Add) and p.args == (oo, -oo) + p = 5 - oo + assert isinstance(p, Add) and p.args == (-oo, 5) + p = oo - 5 + assert isinstance(p, Add) and p.args == (oo, -5) + p = oo + 5 + assert isinstance(p, Add) and p.args == (oo, 5) + p = 5 + oo + assert isinstance(p, Add) and p.args == (oo, 5) + p = -oo + 5 + assert isinstance(p, Add) and p.args == (-oo, 5) + p = -5 - oo + assert isinstance(p, Add) and p.args == (-oo, -5) + + with evaluate(False): + expr = x + x + assert isinstance(expr, Add) + assert expr.args == (x, x) + + with evaluate(True): + assert (x + x).args == (2, x) + + assert (x + x).args == (x, x) + + assert isinstance(x + x, Mul) + + with evaluate(False): + assert S.One + 1 == Add(1, 1) + assert 1 + S.One == Add(1, 1) + + assert S(4) - 3 == Add(4, -3) + assert -3 + S(4) == Add(4, -3) + + assert S(2) * 4 == Mul(2, 4) + assert 4 * S(2) == Mul(2, 4) + + assert S(6) / 3 == Mul(6, Pow(3, -1)) + assert S.One / 3 * 6 == Mul(S.One / 3, 6) + + assert 9 ** S(2) == Pow(9, 2) + assert S(2) ** 9 == Pow(2, 9) + + assert S(2) / 2 == Mul(2, Pow(2, -1)) + assert S.One / 2 * 2 == Mul(S.One / 2, 2) + + assert S(2) / 3 + 1 == Add(S(2) / 3, 1) + assert 1 + S(2) / 3 == Add(1, S(2) / 3) + + assert S(4) / 7 - 3 == Add(S(4) / 7, -3) + assert -3 + S(4) / 7 == Add(-3, S(4) / 7) + + assert S(2) / 4 * 4 == Mul(S(2) / 4, 4) + assert 4 * (S(2) / 4) == Mul(4, S(2) / 4) + + assert S(6) / 3 == Mul(6, Pow(3, -1)) + assert S.One / 3 * 6 == Mul(S.One / 3, 6) + + assert S.One / 3 + sqrt(3) == Add(S.One / 3, sqrt(3)) + assert sqrt(3) + S.One / 3 == Add(sqrt(3), S.One / 3) + + assert S.One / 2 * 10.333 == Mul(S.One / 2, 10.333) + assert 10.333 * (S.One / 2) == Mul(10.333, S.One / 2) + + assert sqrt(2) * sqrt(2) == Mul(sqrt(2), sqrt(2)) + + assert S.One / 2 + x == Add(S.One / 2, x) + assert x + S.One / 2 == Add(x, S.One / 2) + + assert S.One / x * x == Mul(S.One / x, x) + assert x * (S.One / x) == Mul(x, Pow(x, -1)) + + assert S.One / 3 == Pow(3, -1) + assert S.One / x == Pow(x, -1) + assert 1 / S(3) == Pow(3, -1) + assert 1 / x == Pow(x, -1) + +def test_nested(): + with evaluate(False): + expr = (x + x) + (y + y) + assert expr.args == ((x + x), (y + y)) + assert expr.args[0].args == (x, x) + +def test_reentrantcy(): + with evaluate(False): + expr = x + x + assert expr.args == (x, x) + with evaluate(True): + expr = x + x + assert expr.args == (2, x) + expr = x + x + assert expr.args == (x, x) + +def test_reusability(): + f = evaluate(False) + + with f: + expr = x + x + assert expr.args == (x, x) + + expr = x + x + assert expr.args == (2, x) + + with f: + expr = x + x + assert expr.args == (x, x) + + # Assure reentrancy with reusability + ctx = evaluate(False) + with ctx: + expr = x + x + assert expr.args == (x, x) + with ctx: + expr = x + x + assert expr.args == (x, x) + + expr = x + x + assert expr.args == (2, x) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_power.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_power.py new file mode 100644 index 0000000000000000000000000000000000000000..80ae48c525c20da6153deffbc9feadef81acf527 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_power.py @@ -0,0 +1,670 @@ +from sympy.core import ( + Basic, Rational, Symbol, S, Float, Integer, Mul, Number, Pow, + Expr, I, nan, pi, symbols, oo, zoo, N) +from sympy.core.parameters import global_parameters +from sympy.core.tests.test_evalf import NS +from sympy.core.function import expand_multinomial +from sympy.functions.elementary.miscellaneous import sqrt, cbrt +from sympy.functions.elementary.exponential import exp, log +from sympy.functions.special.error_functions import erf +from sympy.functions.elementary.trigonometric import ( + sin, cos, tan, sec, csc, atan) +from sympy.functions.elementary.hyperbolic import cosh, sinh, tanh +from sympy.polys import Poly +from sympy.series.order import O +from sympy.sets import FiniteSet +from sympy.core.power import power +from sympy.core.intfunc import integer_nthroot +from sympy.testing.pytest import warns, _both_exp_pow +from sympy.utilities.exceptions import SymPyDeprecationWarning +from sympy.abc import a, b, c, x, y +from sympy.core.numbers import all_close + +def test_rational(): + a = Rational(1, 5) + + r = sqrt(5)/5 + assert sqrt(a) == r + assert 2*sqrt(a) == 2*r + + r = a*a**S.Half + assert a**Rational(3, 2) == r + assert 2*a**Rational(3, 2) == 2*r + + r = a**5*a**Rational(2, 3) + assert a**Rational(17, 3) == r + assert 2 * a**Rational(17, 3) == 2*r + + +def test_large_rational(): + e = (Rational(123712**12 - 1, 7) + Rational(1, 7))**Rational(1, 3) + assert e == 234232585392159195136 * (Rational(1, 7)**Rational(1, 3)) + + +def test_negative_real(): + def feq(a, b): + return abs(a - b) < 1E-10 + + assert feq(S.One / Float(-0.5), -Integer(2)) + + +def test_expand(): + assert (2**(-1 - x)).expand() == S.Half*2**(-x) + + +def test_issue_3449(): + #test if powers are simplified correctly + #see also issue 3995 + assert ((x**Rational(1, 3))**Rational(2)) == x**Rational(2, 3) + assert ( + (x**Rational(3))**Rational(2, 5)) == (x**Rational(3))**Rational(2, 5) + + a = Symbol('a', real=True) + b = Symbol('b', real=True) + assert (a**2)**b == (abs(a)**b)**2 + assert sqrt(1/a) != 1/sqrt(a) # e.g. for a = -1 + assert (a**3)**Rational(1, 3) != a + assert (x**a)**b != x**(a*b) # e.g. x = -1, a=2, b=1/2 + assert (x**.5)**b == x**(.5*b) + assert (x**.5)**.5 == x**.25 + assert (x**2.5)**.5 != x**1.25 # e.g. for x = 5*I + + k = Symbol('k', integer=True) + m = Symbol('m', integer=True) + assert (x**k)**m == x**(k*m) + assert Number(5)**Rational(2, 3) == Number(25)**Rational(1, 3) + + assert (x**.5)**2 == x**1.0 + assert (x**2)**k == (x**k)**2 == x**(2*k) + + a = Symbol('a', positive=True) + assert (a**3)**Rational(2, 5) == a**Rational(6, 5) + assert (a**2)**b == (a**b)**2 + assert (a**Rational(2, 3))**x == a**(x*Rational(2, 3)) != (a**x)**Rational(2, 3) + + +def test_issue_3866(): + assert --sqrt(sqrt(5) - 1) == sqrt(sqrt(5) - 1) + + +def test_negative_one(): + x = Symbol('x', complex=True) + y = Symbol('y', complex=True) + assert 1/x**y == x**(-y) + + +def test_issue_4362(): + neg = Symbol('neg', negative=True) + nonneg = Symbol('nonneg', nonnegative=True) + any = Symbol('any') + num, den = sqrt(1/neg).as_numer_denom() + assert num == sqrt(-1) + assert den == sqrt(-neg) + num, den = sqrt(1/nonneg).as_numer_denom() + assert num == 1 + assert den == sqrt(nonneg) + num, den = sqrt(1/any).as_numer_denom() + assert num == sqrt(1/any) + assert den == 1 + + def eqn(num, den, pow): + return (num/den)**pow + npos = 1 + nneg = -1 + dpos = 2 - sqrt(3) + dneg = 1 - sqrt(3) + assert dpos > 0 and dneg < 0 and npos > 0 and nneg < 0 + # pos or neg integer + eq = eqn(npos, dpos, 2) + assert eq.is_Pow and eq.as_numer_denom() == (1, dpos**2) + eq = eqn(npos, dneg, 2) + assert eq.is_Pow and eq.as_numer_denom() == (1, dneg**2) + eq = eqn(nneg, dpos, 2) + assert eq.is_Pow and eq.as_numer_denom() == (1, dpos**2) + eq = eqn(nneg, dneg, 2) + assert eq.is_Pow and eq.as_numer_denom() == (1, dneg**2) + eq = eqn(npos, dpos, -2) + assert eq.is_Pow and eq.as_numer_denom() == (dpos**2, 1) + eq = eqn(npos, dneg, -2) + assert eq.is_Pow and eq.as_numer_denom() == (dneg**2, 1) + eq = eqn(nneg, dpos, -2) + assert eq.is_Pow and eq.as_numer_denom() == (dpos**2, 1) + eq = eqn(nneg, dneg, -2) + assert eq.is_Pow and eq.as_numer_denom() == (dneg**2, 1) + # pos or neg rational + pow = S.Half + eq = eqn(npos, dpos, pow) + assert eq.is_Pow and eq.as_numer_denom() == (npos**pow, dpos**pow) + eq = eqn(npos, dneg, pow) + assert eq.is_Pow is False and eq.as_numer_denom() == ((-npos)**pow, (-dneg)**pow) + eq = eqn(nneg, dpos, pow) + assert not eq.is_Pow or eq.as_numer_denom() == (nneg**pow, dpos**pow) + eq = eqn(nneg, dneg, pow) + assert eq.is_Pow and eq.as_numer_denom() == ((-nneg)**pow, (-dneg)**pow) + eq = eqn(npos, dpos, -pow) + assert eq.is_Pow and eq.as_numer_denom() == (dpos**pow, npos**pow) + eq = eqn(npos, dneg, -pow) + assert eq.is_Pow is False and eq.as_numer_denom() == (-(-npos)**pow*(-dneg)**pow, npos) + eq = eqn(nneg, dpos, -pow) + assert not eq.is_Pow or eq.as_numer_denom() == (dpos**pow, nneg**pow) + eq = eqn(nneg, dneg, -pow) + assert eq.is_Pow and eq.as_numer_denom() == ((-dneg)**pow, (-nneg)**pow) + # unknown exponent + pow = 2*any + eq = eqn(npos, dpos, pow) + assert eq.is_Pow and eq.as_numer_denom() == (npos**pow, dpos**pow) + eq = eqn(npos, dneg, pow) + assert eq.is_Pow and eq.as_numer_denom() == ((-npos)**pow, (-dneg)**pow) + eq = eqn(nneg, dpos, pow) + assert eq.is_Pow and eq.as_numer_denom() == (nneg**pow, dpos**pow) + eq = eqn(nneg, dneg, pow) + assert eq.is_Pow and eq.as_numer_denom() == ((-nneg)**pow, (-dneg)**pow) + eq = eqn(npos, dpos, -pow) + assert eq.as_numer_denom() == (dpos**pow, npos**pow) + eq = eqn(npos, dneg, -pow) + assert eq.is_Pow and eq.as_numer_denom() == ((-dneg)**pow, (-npos)**pow) + eq = eqn(nneg, dpos, -pow) + assert eq.is_Pow and eq.as_numer_denom() == (dpos**pow, nneg**pow) + eq = eqn(nneg, dneg, -pow) + assert eq.is_Pow and eq.as_numer_denom() == ((-dneg)**pow, (-nneg)**pow) + + assert ((1/(1 + x/3))**(-S.One)).as_numer_denom() == (3 + x, 3) + notp = Symbol('notp', positive=False) # not positive does not imply real + b = ((1 + x/notp)**-2) + assert (b**(-y)).as_numer_denom() == (1, b**y) + assert (b**(-S.One)).as_numer_denom() == ((notp + x)**2, notp**2) + nonp = Symbol('nonp', nonpositive=True) + assert (((1 + x/nonp)**-2)**(-S.One)).as_numer_denom() == ((-nonp - + x)**2, nonp**2) + + n = Symbol('n', negative=True) + assert (x**n).as_numer_denom() == (1, x**-n) + assert sqrt(1/n).as_numer_denom() == (S.ImaginaryUnit, sqrt(-n)) + n = Symbol('0 or neg', nonpositive=True) + # if x and n are split up without negating each term and n is negative + # then the answer might be wrong; if n is 0 it won't matter since + # 1/oo and 1/zoo are both zero as is sqrt(0)/sqrt(-x) unless x is also + # zero (in which case the negative sign doesn't matter): + # 1/sqrt(1/-1) = -I but sqrt(-1)/sqrt(1) = I + assert (1/sqrt(x/n)).as_numer_denom() == (sqrt(-n), sqrt(-x)) + c = Symbol('c', complex=True) + e = sqrt(1/c) + assert e.as_numer_denom() == (e, 1) + i = Symbol('i', integer=True) + assert ((1 + x/y)**i).as_numer_denom() == ((x + y)**i, y**i) + + +def test_Pow_Expr_args(): + bases = [Basic(), Poly(x, x), FiniteSet(x)] + for base in bases: + # The cache can mess with the stacklevel test + with warns(SymPyDeprecationWarning, test_stacklevel=False): + Pow(base, S.One) + + +def test_Pow_signs(): + """Cf. issues 4595 and 5250""" + n = Symbol('n', even=True) + assert (3 - y)**2 != (y - 3)**2 + assert (3 - y)**n != (y - 3)**n + assert (-3 + y - x)**2 != (3 - y + x)**2 + assert (y - 3)**3 != -(3 - y)**3 + + +def test_power_with_noncommutative_mul_as_base(): + x = Symbol('x', commutative=False) + y = Symbol('y', commutative=False) + assert not (x*y)**3 == x**3*y**3 + assert (2*x*y)**3 == 8*(x*y)**3 + + +@_both_exp_pow +def test_power_rewrite_exp(): + assert (I**I).rewrite(exp) == exp(-pi/2) + + expr = (2 + 3*I)**(4 + 5*I) + assert expr.rewrite(exp) == exp((4 + 5*I)*(log(sqrt(13)) + I*atan(Rational(3, 2)))) + assert expr.rewrite(exp).expand() == \ + 169*exp(5*I*log(13)/2)*exp(4*I*atan(Rational(3, 2)))*exp(-5*atan(Rational(3, 2))) + + assert ((6 + 7*I)**5).rewrite(exp) == 7225*sqrt(85)*exp(5*I*atan(Rational(7, 6))) + + expr = 5**(6 + 7*I) + assert expr.rewrite(exp) == exp((6 + 7*I)*log(5)) + assert expr.rewrite(exp).expand() == 15625*exp(7*I*log(5)) + + assert Pow(123, 789, evaluate=False).rewrite(exp) == 123**789 + assert (1**I).rewrite(exp) == 1**I + assert (0**I).rewrite(exp) == 0**I + + expr = (-2)**(2 + 5*I) + assert expr.rewrite(exp) == exp((2 + 5*I)*(log(2) + I*pi)) + assert expr.rewrite(exp).expand() == 4*exp(-5*pi)*exp(5*I*log(2)) + + assert ((-2)**S(-5)).rewrite(exp) == (-2)**S(-5) + + x, y = symbols('x y') + assert (x**y).rewrite(exp) == exp(y*log(x)) + if global_parameters.exp_is_pow: + assert (7**x).rewrite(exp) == Pow(S.Exp1, x*log(7), evaluate=False) + else: + assert (7**x).rewrite(exp) == exp(x*log(7), evaluate=False) + assert ((2 + 3*I)**x).rewrite(exp) == exp(x*(log(sqrt(13)) + I*atan(Rational(3, 2)))) + assert (y**(5 + 6*I)).rewrite(exp) == exp(log(y)*(5 + 6*I)) + + assert all((1/func(x)).rewrite(exp) == 1/(func(x).rewrite(exp)) for func in + (sin, cos, tan, sec, csc, sinh, cosh, tanh)) + + +def test_zero(): + assert 0**x != 0 + assert 0**(2*x) == 0**x + assert 0**(1.0*x) == 0**x + assert 0**(2.0*x) == 0**x + assert (0**(2 - x)).as_base_exp() == (0, 2 - x) + assert 0**(x - 2) != S.Infinity**(2 - x) + assert 0**(2*x*y) == 0**(x*y) + assert 0**(-2*x*y) == S.ComplexInfinity**(x*y) + assert Float(0)**2 is not S.Zero + assert Float(0)**2 == 0.0 + assert Float(0)**-2 is zoo + assert Float(0)**oo is S.Zero + + #Test issue 19572 + assert 0 ** -oo is zoo + assert power(0, -oo) is zoo + assert Float(0)**-oo is zoo + +def test_pow_as_base_exp(): + assert (S.Infinity**(2 - x)).as_base_exp() == (S.Infinity, 2 - x) + assert (S.Infinity**(x - 2)).as_base_exp() == (S.Infinity, x - 2) + p = S.Half**x + assert p.base, p.exp == p.as_base_exp() == (S(2), -x) + p = (S(3)/2)**x + assert p.base, p.exp == p.as_base_exp() == (3*S.Half, x) + p = (S(2)/3)**x + assert p.as_base_exp() == (S(2)/3, x) + assert p.base, p.exp == (S(2)/3, x) + # issue 8344: + assert Pow(1, 2, evaluate=False).as_base_exp() == (S.One, S(2)) + + +def test_nseries(): + assert sqrt(I*x - 1)._eval_nseries(x, 4, None, 1) == I + x/2 + I*x**2/8 - x**3/16 + O(x**4) + assert sqrt(I*x - 1)._eval_nseries(x, 4, None, -1) == -I - x/2 - I*x**2/8 + x**3/16 + O(x**4) + assert cbrt(I*x - 1)._eval_nseries(x, 4, None, 1) == (-1)**(S(1)/3) - (-1)**(S(5)/6)*x/3 + \ + (-1)**(S(1)/3)*x**2/9 + 5*(-1)**(S(5)/6)*x**3/81 + O(x**4) + assert cbrt(I*x - 1)._eval_nseries(x, 4, None, -1) == -(-1)**(S(2)/3) - (-1)**(S(1)/6)*x/3 - \ + (-1)**(S(2)/3)*x**2/9 + 5*(-1)**(S(1)/6)*x**3/81 + O(x**4) + assert (1 / (exp(-1/x) + 1/x))._eval_nseries(x, 2, None) == x + O(x**2) + # test issue 23752 + assert sqrt(-I*x**2 + x - 3)._eval_nseries(x, 4, None, 1) == -sqrt(3)*I + sqrt(3)*I*x/6 - \ + sqrt(3)*I*x**2*(-S(1)/72 + I/6) - sqrt(3)*I*x**3*(-S(1)/432 + I/36) + O(x**4) + assert sqrt(-I*x**2 + x - 3)._eval_nseries(x, 4, None, -1) == -sqrt(3)*I + sqrt(3)*I*x/6 - \ + sqrt(3)*I*x**2*(-S(1)/72 + I/6) - sqrt(3)*I*x**3*(-S(1)/432 + I/36) + O(x**4) + assert cbrt(-I*x**2 + x - 3)._eval_nseries(x, 4, None, 1) == -(-1)**(S(2)/3)*3**(S(1)/3) + \ + (-1)**(S(2)/3)*3**(S(1)/3)*x/9 - (-1)**(S(2)/3)*3**(S(1)/3)*x**2*(-S(1)/81 + I/9) - \ + (-1)**(S(2)/3)*3**(S(1)/3)*x**3*(-S(5)/2187 + 2*I/81) + O(x**4) + assert cbrt(-I*x**2 + x - 3)._eval_nseries(x, 4, None, -1) == -(-1)**(S(2)/3)*3**(S(1)/3) + \ + (-1)**(S(2)/3)*3**(S(1)/3)*x/9 - (-1)**(S(2)/3)*3**(S(1)/3)*x**2*(-S(1)/81 + I/9) - \ + (-1)**(S(2)/3)*3**(S(1)/3)*x**3*(-S(5)/2187 + 2*I/81) + O(x**4) + + +def test_issue_6100_12942_4473(): + assert x**1.0 != x + assert x != x**1.0 + assert True != x**1.0 + assert x**1.0 is not True + assert x is not True + assert x*y != (x*y)**1.0 + # Pow != Symbol + assert (x**1.0)**1.0 != x + assert (x**1.0)**2.0 != x**2 + b = Expr() + assert Pow(b, 1.0, evaluate=False) != b + # if the following gets distributed as a Mul (x**1.0*y**1.0 then + # __eq__ methods could be added to Symbol and Pow to detect the + # power-of-1.0 case. + assert ((x*y)**1.0).func is Pow + + +def test_issue_6208(): + from sympy.functions.elementary.miscellaneous import root + assert sqrt(33**(I*9/10)) == -33**(I*9/20) + assert root((6*I)**(2*I), 3).as_base_exp()[1] == Rational(1, 3) # != 2*I/3 + assert root((6*I)**(I/3), 3).as_base_exp()[1] == I/9 + assert sqrt(exp(3*I)) == exp(3*I/2) + assert sqrt(-sqrt(3)*(1 + 2*I)) == sqrt(sqrt(3))*sqrt(-1 - 2*I) + assert sqrt(exp(5*I)) == -exp(5*I/2) + assert root(exp(5*I), 3).exp == Rational(1, 3) + + +def test_issue_6990(): + assert (sqrt(a + b*x + x**2)).series(x, 0, 3).removeO() == \ + sqrt(a)*x**2*(1/(2*a) - b**2/(8*a**2)) + sqrt(a) + b*x/(2*sqrt(a)) + + +def test_issue_6068(): + assert sqrt(sin(x)).series(x, 0, 7) == \ + sqrt(x) - x**Rational(5, 2)/12 + x**Rational(9, 2)/1440 - \ + x**Rational(13, 2)/24192 + O(x**7) + assert sqrt(sin(x)).series(x, 0, 9) == \ + sqrt(x) - x**Rational(5, 2)/12 + x**Rational(9, 2)/1440 - \ + x**Rational(13, 2)/24192 - 67*x**Rational(17, 2)/29030400 + O(x**9) + assert sqrt(sin(x**3)).series(x, 0, 19) == \ + x**Rational(3, 2) - x**Rational(15, 2)/12 + x**Rational(27, 2)/1440 + O(x**19) + assert sqrt(sin(x**3)).series(x, 0, 20) == \ + x**Rational(3, 2) - x**Rational(15, 2)/12 + x**Rational(27, 2)/1440 - \ + x**Rational(39, 2)/24192 + O(x**20) + + +def test_issue_6782(): + assert sqrt(sin(x**3)).series(x, 0, 7) == x**Rational(3, 2) + O(x**7) + assert sqrt(sin(x**4)).series(x, 0, 3) == x**2 + O(x**3) + + +def test_issue_6653(): + assert (1 / sqrt(1 + sin(x**2))).series(x, 0, 3) == 1 - x**2/2 + O(x**3) + + +def test_issue_6429(): + f = (c**2 + x)**(0.5) + assert f.series(x, x0=0, n=1) == (c**2)**0.5 + O(x) + assert f.taylor_term(0, x) == (c**2)**0.5 + assert f.taylor_term(1, x) == 0.5*x*(c**2)**(-0.5) + assert f.taylor_term(2, x) == -0.125*x**2*(c**2)**(-1.5) + + +def test_issue_7638(): + f = pi/log(sqrt(2)) + assert ((1 + I)**(I*f/2))**0.3 == (1 + I)**(0.15*I*f) + # if 1/3 -> 1.0/3 this should fail since it cannot be shown that the + # sign will be +/-1; for the previous "small arg" case, it didn't matter + # that this could not be proved + assert (1 + I)**(4*I*f) == ((1 + I)**(12*I*f))**Rational(1, 3) + + assert (((1 + I)**(I*(1 + 7*f)))**Rational(1, 3)).exp == Rational(1, 3) + r = symbols('r', real=True) + assert sqrt(r**2) == abs(r) + assert cbrt(r**3) != r + assert sqrt(Pow(2*I, 5*S.Half)) != (2*I)**Rational(5, 4) + p = symbols('p', positive=True) + assert cbrt(p**2) == p**Rational(2, 3) + assert NS(((0.2 + 0.7*I)**(0.7 + 1.0*I))**(0.5 - 0.1*I), 1) == '0.4 + 0.2*I' + assert sqrt(1/(1 + I)) == sqrt(1 - I)/sqrt(2) # or 1/sqrt(1 + I) + e = 1/(1 - sqrt(2)) + assert sqrt(e) == I/sqrt(-1 + sqrt(2)) + assert e**Rational(-1, 2) == -I*sqrt(-1 + sqrt(2)) + assert sqrt((cos(1)**2 + sin(1)**2 - 1)**(3 + I)).exp in [S.Half, + Rational(3, 2) + I/2] + assert sqrt(r**Rational(4, 3)) != r**Rational(2, 3) + assert sqrt((p + I)**Rational(4, 3)) == (p + I)**Rational(2, 3) + + for q in 1+I, 1-I: + assert sqrt(q**2) == q + for q in -1+I, -1-I: + assert sqrt(q**2) == -q + + assert sqrt((p + r*I)**2) != p + r*I + e = (1 + I/5) + assert sqrt(e**5) == e**(5*S.Half) + assert sqrt(e**6) == e**3 + assert sqrt((1 + I*r)**6) != (1 + I*r)**3 + + +def test_issue_8582(): + assert 1**oo is nan + assert 1**(-oo) is nan + assert 1**zoo is nan + assert 1**(oo + I) is nan + assert 1**(1 + I*oo) is nan + assert 1**(oo + I*oo) is nan + + +def test_issue_8650(): + n = Symbol('n', integer=True, nonnegative=True) + assert (n**n).is_positive is True + x = 5*n + 5 + assert (x**(5*(n + 1))).is_positive is True + + +def test_issue_13914(): + b = Symbol('b') + assert (-1)**zoo is nan + assert 2**zoo is nan + assert (S.Half)**(1 + zoo) is nan + assert I**(zoo + I) is nan + assert b**(I + zoo) is nan + + +def test_better_sqrt(): + n = Symbol('n', integer=True, nonnegative=True) + assert sqrt(3 + 4*I) == 2 + I + assert sqrt(3 - 4*I) == 2 - I + assert sqrt(-3 - 4*I) == 1 - 2*I + assert sqrt(-3 + 4*I) == 1 + 2*I + assert sqrt(32 + 24*I) == 6 + 2*I + assert sqrt(32 - 24*I) == 6 - 2*I + assert sqrt(-32 - 24*I) == 2 - 6*I + assert sqrt(-32 + 24*I) == 2 + 6*I + + # triple (3, 4, 5): + # parity of 3 matches parity of 5 and + # den, 4, is a square + assert sqrt((3 + 4*I)/4) == 1 + I/2 + # triple (8, 15, 17) + # parity of 8 doesn't match parity of 17 but + # den/2, 8/2, is a square + assert sqrt((8 + 15*I)/8) == (5 + 3*I)/4 + # handle the denominator + assert sqrt((3 - 4*I)/25) == (2 - I)/5 + assert sqrt((3 - 4*I)/26) == (2 - I)/sqrt(26) + # mul + # issue #12739 + assert sqrt((3 + 4*I)/(3 - 4*I)) == (3 + 4*I)/5 + assert sqrt(2/(3 + 4*I)) == sqrt(2)/5*(2 - I) + assert sqrt(n/(3 + 4*I)).subs(n, 2) == sqrt(2)/5*(2 - I) + assert sqrt(-2/(3 + 4*I)) == sqrt(2)/5*(1 + 2*I) + assert sqrt(-n/(3 + 4*I)).subs(n, 2) == sqrt(2)/5*(1 + 2*I) + # power + assert sqrt(1/(3 + I*4)) == (2 - I)/5 + assert sqrt(1/(3 - I)) == sqrt(10)*sqrt(3 + I)/10 + # symbolic + i = symbols('i', imaginary=True) + assert sqrt(3/i) == Mul(sqrt(3), 1/sqrt(i), evaluate=False) + # multiples of 1/2; don't make this too automatic + assert sqrt(3 + 4*I)**3 == (2 + I)**3 + assert Pow(3 + 4*I, Rational(3, 2)) == 2 + 11*I + assert Pow(6 + 8*I, Rational(3, 2)) == 2*sqrt(2)*(2 + 11*I) + n, d = (3 + 4*I), (3 - 4*I)**3 + a = n/d + assert a.args == (1/d, n) + eq = sqrt(a) + assert eq.args == (a, S.Half) + assert expand_multinomial(eq) == sqrt((-117 + 44*I)*(3 + 4*I))/125 + assert eq.expand() == (7 - 24*I)/125 + + # issue 12775 + # pos im part + assert sqrt(2*I) == (1 + I) + assert sqrt(2*9*I) == Mul(3, 1 + I, evaluate=False) + assert Pow(2*I, 3*S.Half) == (1 + I)**3 + # neg im part + assert sqrt(-I/2) == Mul(S.Half, 1 - I, evaluate=False) + # fractional im part + assert Pow(Rational(-9, 2)*I, Rational(3, 2)) == 27*(1 - I)**3/8 + + +def test_issue_2993(): + assert str((2.3*x - 4)**0.3) == '(2.3*x - 4)**0.3' + assert str((2.3*x + 4)**0.3) == '(2.3*x + 4)**0.3' + assert str((-2.3*x + 4)**0.3) == '(4 - 2.3*x)**0.3' + assert str((-2.3*x - 4)**0.3) == '(-2.3*x - 4)**0.3' + assert str((2.3*x - 2)**0.3) == '(2.3*x - 2)**0.3' + assert str((-2.3*x - 2)**0.3) == '(-2.3*x - 2)**0.3' + assert str((-2.3*x + 2)**0.3) == '(2 - 2.3*x)**0.3' + assert str((2.3*x + 2)**0.3) == '(2.3*x + 2)**0.3' + assert str((2.3*x - 4)**Rational(1, 3)) == '(2.3*x - 4)**(1/3)' + eq = (2.3*x + 4) + assert str(eq**2) == '(2.3*x + 4)**2' + assert (1/eq).args == (eq, -1) # don't change trivial power + # issue 17735 + q=.5*exp(x) - .5*exp(-x) + 0.1 + assert int((q**2).subs(x, 1)) == 1 + # issue 17756 + y = Symbol('y') + assert len(sqrt(x/(x + y)**2 + Float('0.008', 30)).subs(y, pi.n(25)).atoms(Float)) == 2 + # issue 17756 + a, b, c, d, e, f, g = symbols('a:g') + expr = sqrt(1 + a*(c**4 + g*d - 2*g*e - f*(-g + d))**2/ + (c**3*b**2*(d - 3*e + 2*f)**2))/2 + r = [ + (a, N('0.0170992456333788667034850458615', 30)), + (b, N('0.0966594956075474769169134801223', 30)), + (c, N('0.390911862903463913632151616184', 30)), + (d, N('0.152812084558656566271750185933', 30)), + (e, N('0.137562344465103337106561623432', 30)), + (f, N('0.174259178881496659302933610355', 30)), + (g, N('0.220745448491223779615401870086', 30))] + tru = expr.n(30, subs=dict(r)) + seq = expr.subs(r) + # although `tru` is the right way to evaluate + # expr with numerical values, `seq` will have + # significant loss of precision if extraction of + # the largest coefficient of a power's base's terms + # is done improperly + assert seq == tru + +def test_issue_17450(): + assert (erf(cosh(1)**7)**I).is_real is None + assert (erf(cosh(1)**7)**I).is_imaginary is False + assert (Pow(exp(1+sqrt(2)), ((1-sqrt(2))*I*pi), evaluate=False)).is_real is None + assert ((-10)**(10*I*pi/3)).is_real is False + assert ((-5)**(4*I*pi)).is_real is False + + +def test_issue_18190(): + assert sqrt(1 / tan(1 + I)) == 1 / sqrt(tan(1 + I)) + + +def test_issue_14815(): + x = Symbol('x', real=True) + assert sqrt(x).is_extended_negative is False + x = Symbol('x', real=False) + assert sqrt(x).is_extended_negative is None + x = Symbol('x', complex=True) + assert sqrt(x).is_extended_negative is False + x = Symbol('x', extended_real=True) + assert sqrt(x).is_extended_negative is False + assert sqrt(zoo, evaluate=False).is_extended_negative is False + assert sqrt(nan, evaluate=False).is_extended_negative is None + + +def test_issue_18509(): + x = Symbol('x', prime=True) + assert x**oo is oo + assert (1/x)**oo is S.Zero + assert (-1/x)**oo is S.Zero + assert (-x)**oo is zoo + assert (-oo)**(-1 + I) is S.Zero + assert (-oo)**(1 + I) is zoo + assert (oo)**(-1 + I) is S.Zero + assert (oo)**(1 + I) is zoo + + +def test_issue_18762(): + e, p = symbols('e p') + g0 = sqrt(1 + e**2 - 2*e*cos(p)) + assert len(g0.series(e, 1, 3).args) == 4 + + +def test_issue_21860(): + e = 3*2**Rational(66666666667,200000000000)*3**Rational(16666666667,50000000000)*x**Rational(66666666667, 200000000000) + ans = Mul(Rational(3, 2), + Pow(Integer(2), Rational(33333333333, 100000000000)), + Pow(Integer(3), Rational(26666666667, 40000000000))) + assert e.xreplace({x: Rational(3,8)}) == ans + + +def test_issue_21647(): + e = log((Integer(567)/500)**(811*(Integer(567)/500)**x/100)) + ans = log(Mul(Rational(64701150190720499096094005280169087619821081527, + 76293945312500000000000000000000000000000000000), + Pow(Integer(2), Rational(396204892125479941, 781250000000000000)), + Pow(Integer(3), Rational(385045107874520059, 390625000000000000)), + Pow(Integer(5), Rational(407364676376439823, 1562500000000000000)), + Pow(Integer(7), Rational(385045107874520059, 1562500000000000000)))) + assert e.xreplace({x: 6}) == ans + + +def test_issue_21762(): + e = (x**2 + 6)**(Integer(33333333333333333)/50000000000000000) + ans = Mul(Rational(5, 4), + Pow(Integer(2), Rational(16666666666666667, 25000000000000000)), + Pow(Integer(5), Rational(8333333333333333, 25000000000000000))) + assert e.xreplace({x: S.Half}) == ans + + +def test_issue_14704(): + a = 144**144 + x, xexact = integer_nthroot(a,a) + assert x == 1 and xexact is False + + +def test_rational_powers_larger_than_one(): + assert Rational(2, 3)**Rational(3, 2) == 2*sqrt(6)/9 + assert Rational(1, 6)**Rational(9, 4) == 6**Rational(3, 4)/216 + assert Rational(3, 7)**Rational(7, 3) == 9*3**Rational(1, 3)*7**Rational(2, 3)/343 + + +def test_power_dispatcher(): + + class NewBase(Expr): + pass + class NewPow(NewBase, Pow): + pass + a, b = Symbol('a'), NewBase() + + @power.register(Expr, NewBase) + @power.register(NewBase, Expr) + @power.register(NewBase, NewBase) + def _(a, b): + return NewPow(a, b) + + # Pow called as fallback + assert power(2, 3) == 8*S.One + assert power(a, 2) == Pow(a, 2) + assert power(a, a) == Pow(a, a) + + # NewPow called by dispatch + assert power(a, b) == NewPow(a, b) + assert power(b, a) == NewPow(b, a) + assert power(b, b) == NewPow(b, b) + + +def test_powers_of_I(): + assert [sqrt(I)**i for i in range(13)] == [ + 1, sqrt(I), I, sqrt(I)**3, -1, -sqrt(I), -I, -sqrt(I)**3, + 1, sqrt(I), I, sqrt(I)**3, -1] + assert sqrt(I)**(S(9)/2) == -I**(S(1)/4) + + +def test_issue_23918(): + b = S(2)/3 + assert (b**x).as_base_exp() == (b, x) + + +def test_issue_26546(): + x = Symbol('x', real=True) + assert x.is_extended_real is True + assert sqrt(x+I).is_extended_real is False + assert Pow(x+I, S.Half).is_extended_real is False + assert Pow(x+I, Rational(1,2)).is_extended_real is False + assert Pow(x+I, Rational(1,13)).is_extended_real is False + assert Pow(x+I, Rational(2,3)).is_extended_real is None + + +def test_issue_25165(): + e1 = (1/sqrt(( - x + 1)**2 + (x - 0.23)**4)).series(x, 0, 2) + e2 = 0.998603724830355 + 1.02004923189934*x + O(x**2) + assert all_close(e1, e2) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_priority.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_priority.py new file mode 100644 index 0000000000000000000000000000000000000000..276e653100f886243e07b866b699b8da53cdaf88 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_priority.py @@ -0,0 +1,145 @@ +from sympy.core.decorators import call_highest_priority +from sympy.core.expr import Expr +from sympy.core.mod import Mod +from sympy.core.numbers import Integer +from sympy.core.singleton import S +from sympy.core.symbol import Symbol +from sympy.functions.elementary.integers import floor + + +class Higher(Integer): + ''' + Integer of value 1 and _op_priority 20 + + Operations handled by this class return 1 and reverse operations return 2 + ''' + + _op_priority = 20.0 + result: Expr = S.One + + def __new__(cls): + obj = Expr.__new__(cls) + obj.p = 1 + return obj + + @call_highest_priority('__rmul__') + def __mul__(self, other): + return self.result + + @call_highest_priority('__mul__') + def __rmul__(self, other): + return 2*self.result + + @call_highest_priority('__radd__') + def __add__(self, other): + return self.result + + @call_highest_priority('__add__') + def __radd__(self, other): + return 2*self.result + + @call_highest_priority('__rsub__') + def __sub__(self, other): + return self.result + + @call_highest_priority('__sub__') + def __rsub__(self, other): + return 2*self.result + + @call_highest_priority('__rpow__') + def __pow__(self, other): + return self.result + + @call_highest_priority('__pow__') + def __rpow__(self, other): + return 2*self.result + + @call_highest_priority('__rtruediv__') + def __truediv__(self, other): + return self.result + + @call_highest_priority('__truediv__') + def __rtruediv__(self, other): + return 2*self.result + + @call_highest_priority('__rmod__') + def __mod__(self, other): + return self.result + + @call_highest_priority('__mod__') + def __rmod__(self, other): + return 2*self.result + + @call_highest_priority('__rfloordiv__') + def __floordiv__(self, other): + return self.result + + @call_highest_priority('__floordiv__') + def __rfloordiv__(self, other): + return 2*self.result + + +class Lower(Higher): + ''' + Integer of value -1 and _op_priority 5 + + Operations handled by this class return -1 and reverse operations return -2 + ''' + + _op_priority = 5.0 + result: Expr = S.NegativeOne + + def __new__(cls): + obj = Expr.__new__(cls) + obj.p = -1 + return obj + + +x = Symbol('x') +h = Higher() +l = Lower() + + +def test_mul(): + assert h*l == h*x == 1 + assert l*h == x*h == 2 + assert x*l == l*x == -x + + +def test_add(): + assert h + l == h + x == 1 + assert l + h == x + h == 2 + assert x + l == l + x == x - 1 + + +def test_sub(): + assert h - l == h - x == 1 + assert l - h == x - h == 2 + assert x - l == -(l - x) == x + 1 + + +def test_pow(): + assert h**l == h**x == 1 + assert l**h == x**h == 2 + assert (x**l).args == (1/x).args and (x**l).is_Pow + assert (l**x).args == ((-1)**x).args and (l**x).is_Pow + + +def test_div(): + assert h/l == h/x == 1 + assert l/h == x/h == 2 + assert x/l == 1/(l/x) == -x + + +def test_mod(): + assert h%l == h%x == 1 + assert l%h == x%h == 2 + assert x%l == Mod(x, -1) + assert l%x == Mod(-1, x) + + +def test_floordiv(): + assert h//l == h//x == 1 + assert l//h == x//h == 2 + assert x//l == floor(-x) + assert l//x == floor(-1/x) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_random.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_random.py new file mode 100644 index 0000000000000000000000000000000000000000..01c677126285eb66349253368b94b3270fb97793 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_random.py @@ -0,0 +1,61 @@ +import random +from sympy.core.random import random as rand, seed, shuffle, _assumptions_shuffle +from sympy.core.symbol import Symbol, symbols +from sympy.functions.elementary.trigonometric import sin, acos +from sympy.abc import x + + +def test_random(): + random.seed(42) + a = random.random() + random.seed(42) + Symbol('z').is_finite + b = random.random() + assert a == b + + got = set() + for i in range(2): + random.seed(28) + m0, m1 = symbols('m_0 m_1', real=True) + _ = acos(-m0/m1) + got.add(random.uniform(0,1)) + assert len(got) == 1 + + random.seed(10) + y = 0 + for i in range(4): + y += sin(random.uniform(-10,10) * x) + random.seed(10) + z = 0 + for i in range(4): + z += sin(random.uniform(-10,10) * x) + assert y == z + + +def test_seed(): + assert rand() < 1 + seed(1) + a = rand() + b = rand() + seed(1) + c = rand() + d = rand() + assert a == c + if not c == d: + assert a != b + else: + assert a == b + + abc = 'abc' + first = list(abc) + second = list(abc) + third = list(abc) + + seed(123) + shuffle(first) + + seed(123) + shuffle(second) + _assumptions_shuffle(third) + + assert first == second == third diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_relational.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_relational.py new file mode 100644 index 0000000000000000000000000000000000000000..60c026fd5f5b8cee2e90e00582047cc7763bb8a4 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_relational.py @@ -0,0 +1,1271 @@ +from sympy.core.logic import fuzzy_and +from sympy.core.sympify import _sympify +from sympy.multipledispatch import dispatch +from sympy.testing.pytest import XFAIL, raises +from sympy.assumptions.ask import Q +from sympy.core.add import Add +from sympy.core.basic import Basic +from sympy.core.expr import Expr, unchanged +from sympy.core.function import Function +from sympy.core.mul import Mul +from sympy.core.numbers import (Float, I, Rational, nan, oo, pi, zoo) +from sympy.core.power import Pow +from sympy.core.singleton import S +from sympy.core.symbol import (Symbol, symbols) +from sympy.functions.elementary.complexes import sign, Abs +from sympy.functions.elementary.piecewise import Piecewise +from sympy.functions.elementary.exponential import (exp, exp_polar, log) +from sympy.functions.elementary.integers import (ceiling, floor) +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.trigonometric import (cos, sin) +from sympy.logic.boolalg import (And, Implies, Not, Or, Xor) +from sympy.sets import Reals +from sympy.simplify.simplify import simplify +from sympy.simplify.trigsimp import trigsimp +from sympy.core.relational import (Relational, Equality, Unequality, + GreaterThan, LessThan, StrictGreaterThan, + StrictLessThan, Rel, Eq, Lt, Le, + Gt, Ge, Ne, is_le, is_gt, is_ge, is_lt, is_eq, is_neq) +from sympy.sets.sets import Interval, FiniteSet + +from itertools import combinations + +x, y, z, t = symbols('x,y,z,t') + + +def rel_check(a, b): + from sympy.testing.pytest import raises + assert a.is_number and b.is_number + for do in range(len({type(a), type(b)})): + if S.NaN in (a, b): + v = [(a == b), (a != b)] + assert len(set(v)) == 1 and v[0] == False + assert not (a != b) and not (a == b) + assert raises(TypeError, lambda: a < b) + assert raises(TypeError, lambda: a <= b) + assert raises(TypeError, lambda: a > b) + assert raises(TypeError, lambda: a >= b) + else: + E = [(a == b), (a != b)] + assert len(set(E)) == 2 + v = [ + (a < b), (a <= b), (a > b), (a >= b)] + i = [ + [True, True, False, False], + [False, True, False, True], # <-- i == 1 + [False, False, True, True]].index(v) + if i == 1: + assert E[0] or (a.is_Float != b.is_Float) # ugh + else: + assert E[1] + a, b = b, a + return True + + +def test_rel_ne(): + assert Relational(x, y, '!=') == Ne(x, y) + + # issue 6116 + p = Symbol('p', positive=True) + assert Ne(p, 0) is S.true + + +def test_rel_subs(): + e = Relational(x, y, '==') + e = e.subs(x, z) + + assert isinstance(e, Equality) + assert e.lhs == z + assert e.rhs == y + + e = Relational(x, y, '>=') + e = e.subs(x, z) + + assert isinstance(e, GreaterThan) + assert e.lhs == z + assert e.rhs == y + + e = Relational(x, y, '<=') + e = e.subs(x, z) + + assert isinstance(e, LessThan) + assert e.lhs == z + assert e.rhs == y + + e = Relational(x, y, '>') + e = e.subs(x, z) + + assert isinstance(e, StrictGreaterThan) + assert e.lhs == z + assert e.rhs == y + + e = Relational(x, y, '<') + e = e.subs(x, z) + + assert isinstance(e, StrictLessThan) + assert e.lhs == z + assert e.rhs == y + + e = Eq(x, 0) + assert e.subs(x, 0) is S.true + assert e.subs(x, 1) is S.false + + +def test_wrappers(): + e = x + x**2 + + res = Relational(y, e, '==') + assert Rel(y, x + x**2, '==') == res + assert Eq(y, x + x**2) == res + + res = Relational(y, e, '<') + assert Lt(y, x + x**2) == res + + res = Relational(y, e, '<=') + assert Le(y, x + x**2) == res + + res = Relational(y, e, '>') + assert Gt(y, x + x**2) == res + + res = Relational(y, e, '>=') + assert Ge(y, x + x**2) == res + + res = Relational(y, e, '!=') + assert Ne(y, x + x**2) == res + + +def test_Eq_Ne(): + + assert Eq(x, x) # issue 5719 + + # issue 6116 + p = Symbol('p', positive=True) + assert Eq(p, 0) is S.false + + # issue 13348; 19048 + # SymPy is strict about 0 and 1 not being + # interpreted as Booleans + assert Eq(True, 1) is S.false + assert Eq(False, 0) is S.false + assert Eq(~x, 0) is S.false + assert Eq(~x, 1) is S.false + assert Ne(True, 1) is S.true + assert Ne(False, 0) is S.true + assert Ne(~x, 0) is S.true + assert Ne(~x, 1) is S.true + + assert Eq((), 1) is S.false + assert Ne((), 1) is S.true + + +def test_as_poly(): + from sympy.polys.polytools import Poly + # Only Eq should have an as_poly method: + assert Eq(x, 1).as_poly() == Poly(x - 1, x, domain='ZZ') + raises(AttributeError, lambda: Ne(x, 1).as_poly()) + raises(AttributeError, lambda: Ge(x, 1).as_poly()) + raises(AttributeError, lambda: Gt(x, 1).as_poly()) + raises(AttributeError, lambda: Le(x, 1).as_poly()) + raises(AttributeError, lambda: Lt(x, 1).as_poly()) + + +def test_rel_Infinity(): + # NOTE: All of these are actually handled by sympy.core.Number, and do + # not create Relational objects. + assert (oo > oo) is S.false + assert (oo > -oo) is S.true + assert (oo > 1) is S.true + assert (oo < oo) is S.false + assert (oo < -oo) is S.false + assert (oo < 1) is S.false + assert (oo >= oo) is S.true + assert (oo >= -oo) is S.true + assert (oo >= 1) is S.true + assert (oo <= oo) is S.true + assert (oo <= -oo) is S.false + assert (oo <= 1) is S.false + assert (-oo > oo) is S.false + assert (-oo > -oo) is S.false + assert (-oo > 1) is S.false + assert (-oo < oo) is S.true + assert (-oo < -oo) is S.false + assert (-oo < 1) is S.true + assert (-oo >= oo) is S.false + assert (-oo >= -oo) is S.true + assert (-oo >= 1) is S.false + assert (-oo <= oo) is S.true + assert (-oo <= -oo) is S.true + assert (-oo <= 1) is S.true + + +def test_infinite_symbol_inequalities(): + x = Symbol('x', extended_positive=True, infinite=True) + y = Symbol('y', extended_positive=True, infinite=True) + z = Symbol('z', extended_negative=True, infinite=True) + w = Symbol('w', extended_negative=True, infinite=True) + + inf_set = (x, y, oo) + ninf_set = (z, w, -oo) + + for inf1 in inf_set: + assert (inf1 < 1) is S.false + assert (inf1 > 1) is S.true + assert (inf1 <= 1) is S.false + assert (inf1 >= 1) is S.true + + for inf2 in inf_set: + assert (inf1 < inf2) is S.false + assert (inf1 > inf2) is S.false + assert (inf1 <= inf2) is S.true + assert (inf1 >= inf2) is S.true + + for ninf1 in ninf_set: + assert (inf1 < ninf1) is S.false + assert (inf1 > ninf1) is S.true + assert (inf1 <= ninf1) is S.false + assert (inf1 >= ninf1) is S.true + assert (ninf1 < inf1) is S.true + assert (ninf1 > inf1) is S.false + assert (ninf1 <= inf1) is S.true + assert (ninf1 >= inf1) is S.false + + for ninf1 in ninf_set: + assert (ninf1 < 1) is S.true + assert (ninf1 > 1) is S.false + assert (ninf1 <= 1) is S.true + assert (ninf1 >= 1) is S.false + + for ninf2 in ninf_set: + assert (ninf1 < ninf2) is S.false + assert (ninf1 > ninf2) is S.false + assert (ninf1 <= ninf2) is S.true + assert (ninf1 >= ninf2) is S.true + + +def test_bool(): + assert Eq(0, 0) is S.true + assert Eq(1, 0) is S.false + assert Ne(0, 0) is S.false + assert Ne(1, 0) is S.true + assert Lt(0, 1) is S.true + assert Lt(1, 0) is S.false + assert Le(0, 1) is S.true + assert Le(1, 0) is S.false + assert Le(0, 0) is S.true + assert Gt(1, 0) is S.true + assert Gt(0, 1) is S.false + assert Ge(1, 0) is S.true + assert Ge(0, 1) is S.false + assert Ge(1, 1) is S.true + assert Eq(I, 2) is S.false + assert Ne(I, 2) is S.true + raises(TypeError, lambda: Gt(I, 2)) + raises(TypeError, lambda: Ge(I, 2)) + raises(TypeError, lambda: Lt(I, 2)) + raises(TypeError, lambda: Le(I, 2)) + a = Float('.000000000000000000001', '') + b = Float('.0000000000000000000001', '') + assert Eq(pi + a, pi + b) is S.false + + +def test_rich_cmp(): + assert (x < y) == Lt(x, y) + assert (x <= y) == Le(x, y) + assert (x > y) == Gt(x, y) + assert (x >= y) == Ge(x, y) + + +def test_doit(): + from sympy.core.symbol import Symbol + p = Symbol('p', positive=True) + n = Symbol('n', negative=True) + np = Symbol('np', nonpositive=True) + nn = Symbol('nn', nonnegative=True) + + assert Gt(p, 0).doit() is S.true + assert Gt(p, 1).doit() == Gt(p, 1) + assert Ge(p, 0).doit() is S.true + assert Le(p, 0).doit() is S.false + assert Lt(n, 0).doit() is S.true + assert Le(np, 0).doit() is S.true + assert Gt(nn, 0).doit() == Gt(nn, 0) + assert Lt(nn, 0).doit() is S.false + + assert Eq(x, 0).doit() == Eq(x, 0) + + +def test_new_relational(): + x = Symbol('x') + + assert Eq(x, 0) == Relational(x, 0) # None ==> Equality + assert Eq(x, 0) == Relational(x, 0, '==') + assert Eq(x, 0) == Relational(x, 0, 'eq') + assert Eq(x, 0) == Equality(x, 0) + + assert Eq(x, 0) != Relational(x, 1) # None ==> Equality + assert Eq(x, 0) != Relational(x, 1, '==') + assert Eq(x, 0) != Relational(x, 1, 'eq') + assert Eq(x, 0) != Equality(x, 1) + + assert Eq(x, -1) == Relational(x, -1) # None ==> Equality + assert Eq(x, -1) == Relational(x, -1, '==') + assert Eq(x, -1) == Relational(x, -1, 'eq') + assert Eq(x, -1) == Equality(x, -1) + assert Eq(x, -1) != Relational(x, 1) # None ==> Equality + assert Eq(x, -1) != Relational(x, 1, '==') + assert Eq(x, -1) != Relational(x, 1, 'eq') + assert Eq(x, -1) != Equality(x, 1) + + assert Ne(x, 0) == Relational(x, 0, '!=') + assert Ne(x, 0) == Relational(x, 0, '<>') + assert Ne(x, 0) == Relational(x, 0, 'ne') + assert Ne(x, 0) == Unequality(x, 0) + assert Ne(x, 0) != Relational(x, 1, '!=') + assert Ne(x, 0) != Relational(x, 1, '<>') + assert Ne(x, 0) != Relational(x, 1, 'ne') + assert Ne(x, 0) != Unequality(x, 1) + + assert Ge(x, 0) == Relational(x, 0, '>=') + assert Ge(x, 0) == Relational(x, 0, 'ge') + assert Ge(x, 0) == GreaterThan(x, 0) + assert Ge(x, 1) != Relational(x, 0, '>=') + assert Ge(x, 1) != Relational(x, 0, 'ge') + assert Ge(x, 1) != GreaterThan(x, 0) + assert (x >= 1) == Relational(x, 1, '>=') + assert (x >= 1) == Relational(x, 1, 'ge') + assert (x >= 1) == GreaterThan(x, 1) + assert (x >= 0) != Relational(x, 1, '>=') + assert (x >= 0) != Relational(x, 1, 'ge') + assert (x >= 0) != GreaterThan(x, 1) + + assert Le(x, 0) == Relational(x, 0, '<=') + assert Le(x, 0) == Relational(x, 0, 'le') + assert Le(x, 0) == LessThan(x, 0) + assert Le(x, 1) != Relational(x, 0, '<=') + assert Le(x, 1) != Relational(x, 0, 'le') + assert Le(x, 1) != LessThan(x, 0) + assert (x <= 1) == Relational(x, 1, '<=') + assert (x <= 1) == Relational(x, 1, 'le') + assert (x <= 1) == LessThan(x, 1) + assert (x <= 0) != Relational(x, 1, '<=') + assert (x <= 0) != Relational(x, 1, 'le') + assert (x <= 0) != LessThan(x, 1) + + assert Gt(x, 0) == Relational(x, 0, '>') + assert Gt(x, 0) == Relational(x, 0, 'gt') + assert Gt(x, 0) == StrictGreaterThan(x, 0) + assert Gt(x, 1) != Relational(x, 0, '>') + assert Gt(x, 1) != Relational(x, 0, 'gt') + assert Gt(x, 1) != StrictGreaterThan(x, 0) + assert (x > 1) == Relational(x, 1, '>') + assert (x > 1) == Relational(x, 1, 'gt') + assert (x > 1) == StrictGreaterThan(x, 1) + assert (x > 0) != Relational(x, 1, '>') + assert (x > 0) != Relational(x, 1, 'gt') + assert (x > 0) != StrictGreaterThan(x, 1) + + assert Lt(x, 0) == Relational(x, 0, '<') + assert Lt(x, 0) == Relational(x, 0, 'lt') + assert Lt(x, 0) == StrictLessThan(x, 0) + assert Lt(x, 1) != Relational(x, 0, '<') + assert Lt(x, 1) != Relational(x, 0, 'lt') + assert Lt(x, 1) != StrictLessThan(x, 0) + assert (x < 1) == Relational(x, 1, '<') + assert (x < 1) == Relational(x, 1, 'lt') + assert (x < 1) == StrictLessThan(x, 1) + assert (x < 0) != Relational(x, 1, '<') + assert (x < 0) != Relational(x, 1, 'lt') + assert (x < 0) != StrictLessThan(x, 1) + + # finally, some fuzz testing + from sympy.core.random import randint + for i in range(100): + while 1: + strtype, length = (chr, 65535) if randint(0, 1) else (chr, 255) + relation_type = strtype(randint(0, length)) + if randint(0, 1): + relation_type += strtype(randint(0, length)) + if relation_type not in ('==', 'eq', '!=', '<>', 'ne', '>=', 'ge', + '<=', 'le', '>', 'gt', '<', 'lt', ':=', + '+=', '-=', '*=', '/=', '%='): + break + + raises(ValueError, lambda: Relational(x, 1, relation_type)) + assert all(Relational(x, 0, op).rel_op == '==' for op in ('eq', '==')) + assert all(Relational(x, 0, op).rel_op == '!=' + for op in ('ne', '<>', '!=')) + assert all(Relational(x, 0, op).rel_op == '>' for op in ('gt', '>')) + assert all(Relational(x, 0, op).rel_op == '<' for op in ('lt', '<')) + assert all(Relational(x, 0, op).rel_op == '>=' for op in ('ge', '>=')) + assert all(Relational(x, 0, op).rel_op == '<=' for op in ('le', '<=')) + + +def test_relational_arithmetic(): + for cls in [Eq, Ne, Le, Lt, Ge, Gt]: + rel = cls(x, y) + raises(TypeError, lambda: 0+rel) + raises(TypeError, lambda: 1*rel) + raises(TypeError, lambda: 1**rel) + raises(TypeError, lambda: rel**1) + raises(TypeError, lambda: Add(0, rel)) + raises(TypeError, lambda: Mul(1, rel)) + raises(TypeError, lambda: Pow(1, rel)) + raises(TypeError, lambda: Pow(rel, 1)) + + +def test_relational_bool_output(): + # https://github.com/sympy/sympy/issues/5931 + raises(TypeError, lambda: bool(x > 3)) + raises(TypeError, lambda: bool(x >= 3)) + raises(TypeError, lambda: bool(x < 3)) + raises(TypeError, lambda: bool(x <= 3)) + raises(TypeError, lambda: bool(Eq(x, 3))) + raises(TypeError, lambda: bool(Ne(x, 3))) + + +def test_relational_logic_symbols(): + # See issue 6204 + assert (x < y) & (z < t) == And(x < y, z < t) + assert (x < y) | (z < t) == Or(x < y, z < t) + assert ~(x < y) == Not(x < y) + assert (x < y) >> (z < t) == Implies(x < y, z < t) + assert (x < y) << (z < t) == Implies(z < t, x < y) + assert (x < y) ^ (z < t) == Xor(x < y, z < t) + + assert isinstance((x < y) & (z < t), And) + assert isinstance((x < y) | (z < t), Or) + assert isinstance(~(x < y), GreaterThan) + assert isinstance((x < y) >> (z < t), Implies) + assert isinstance((x < y) << (z < t), Implies) + assert isinstance((x < y) ^ (z < t), (Or, Xor)) + + +def test_univariate_relational_as_set(): + assert (x > 0).as_set() == Interval(0, oo, True, True) + assert (x >= 0).as_set() == Interval(0, oo) + assert (x < 0).as_set() == Interval(-oo, 0, True, True) + assert (x <= 0).as_set() == Interval(-oo, 0) + assert Eq(x, 0).as_set() == FiniteSet(0) + assert Ne(x, 0).as_set() == Interval(-oo, 0, True, True) + \ + Interval(0, oo, True, True) + + assert (x**2 >= 4).as_set() == Interval(-oo, -2) + Interval(2, oo) + + +@XFAIL +def test_multivariate_relational_as_set(): + assert (x*y >= 0).as_set() == Interval(0, oo)*Interval(0, oo) + \ + Interval(-oo, 0)*Interval(-oo, 0) + + +def test_Not(): + assert Not(Equality(x, y)) == Unequality(x, y) + assert Not(Unequality(x, y)) == Equality(x, y) + assert Not(StrictGreaterThan(x, y)) == LessThan(x, y) + assert Not(StrictLessThan(x, y)) == GreaterThan(x, y) + assert Not(GreaterThan(x, y)) == StrictLessThan(x, y) + assert Not(LessThan(x, y)) == StrictGreaterThan(x, y) + + +def test_evaluate(): + assert str(Eq(x, x, evaluate=False)) == 'Eq(x, x)' + assert Eq(x, x, evaluate=False).doit() == S.true + assert str(Ne(x, x, evaluate=False)) == 'Ne(x, x)' + assert Ne(x, x, evaluate=False).doit() == S.false + + assert str(Ge(x, x, evaluate=False)) == 'x >= x' + assert str(Le(x, x, evaluate=False)) == 'x <= x' + assert str(Gt(x, x, evaluate=False)) == 'x > x' + assert str(Lt(x, x, evaluate=False)) == 'x < x' + + +def assert_all_ineq_raise_TypeError(a, b): + raises(TypeError, lambda: a > b) + raises(TypeError, lambda: a >= b) + raises(TypeError, lambda: a < b) + raises(TypeError, lambda: a <= b) + raises(TypeError, lambda: b > a) + raises(TypeError, lambda: b >= a) + raises(TypeError, lambda: b < a) + raises(TypeError, lambda: b <= a) + + +def assert_all_ineq_give_class_Inequality(a, b): + """All inequality operations on `a` and `b` result in class Inequality.""" + from sympy.core.relational import _Inequality as Inequality + assert isinstance(a > b, Inequality) + assert isinstance(a >= b, Inequality) + assert isinstance(a < b, Inequality) + assert isinstance(a <= b, Inequality) + assert isinstance(b > a, Inequality) + assert isinstance(b >= a, Inequality) + assert isinstance(b < a, Inequality) + assert isinstance(b <= a, Inequality) + + +def test_imaginary_compare_raises_TypeError(): + # See issue #5724 + assert_all_ineq_raise_TypeError(I, x) + + +def test_complex_compare_not_real(): + # two cases which are not real + y = Symbol('y', imaginary=True) + z = Symbol('z', complex=True, extended_real=False) + for w in (y, z): + assert_all_ineq_raise_TypeError(2, w) + # some cases which should remain un-evaluated + t = Symbol('t') + x = Symbol('x', real=True) + z = Symbol('z', complex=True) + for w in (x, z, t): + assert_all_ineq_give_class_Inequality(2, w) + + +def test_imaginary_and_inf_compare_raises_TypeError(): + # See pull request #7835 + y = Symbol('y', imaginary=True) + assert_all_ineq_raise_TypeError(oo, y) + assert_all_ineq_raise_TypeError(-oo, y) + + +def test_complex_pure_imag_not_ordered(): + raises(TypeError, lambda: 2*I < 3*I) + + # more generally + x = Symbol('x', real=True, nonzero=True) + y = Symbol('y', imaginary=True) + z = Symbol('z', complex=True) + assert_all_ineq_raise_TypeError(I, y) + + t = I*x # an imaginary number, should raise errors + assert_all_ineq_raise_TypeError(2, t) + + t = -I*y # a real number, so no errors + assert_all_ineq_give_class_Inequality(2, t) + + t = I*z # unknown, should be unevaluated + assert_all_ineq_give_class_Inequality(2, t) + + +def test_x_minus_y_not_same_as_x_lt_y(): + """ + A consequence of pull request #7792 is that `x - y < 0` and `x < y` + are not synonymous. + """ + x = I + 2 + y = I + 3 + raises(TypeError, lambda: x < y) + assert x - y < 0 + + ineq = Lt(x, y, evaluate=False) + raises(TypeError, lambda: ineq.doit()) + assert ineq.lhs - ineq.rhs < 0 + + t = Symbol('t', imaginary=True) + x = 2 + t + y = 3 + t + ineq = Lt(x, y, evaluate=False) + raises(TypeError, lambda: ineq.doit()) + assert ineq.lhs - ineq.rhs < 0 + + # this one should give error either way + x = I + 2 + y = 2*I + 3 + raises(TypeError, lambda: x < y) + raises(TypeError, lambda: x - y < 0) + + +def test_nan_equality_exceptions(): + # See issue #7774 + import random + assert Equality(nan, nan) is S.false + assert Unequality(nan, nan) is S.true + + # See issue #7773 + A = (x, S.Zero, S.One/3, pi, oo, -oo) + assert Equality(nan, random.choice(A)) is S.false + assert Equality(random.choice(A), nan) is S.false + assert Unequality(nan, random.choice(A)) is S.true + assert Unequality(random.choice(A), nan) is S.true + + +def test_nan_inequality_raise_errors(): + # See discussion in pull request #7776. We test inequalities with + # a set including examples of various classes. + for q in (x, S.Zero, S(10), S.One/3, pi, S(1.3), oo, -oo, nan): + assert_all_ineq_raise_TypeError(q, nan) + + +def test_nan_complex_inequalities(): + # Comparisons of NaN with non-real raise errors, we're not too + # fussy whether its the NaN error or complex error. + for r in (I, zoo, Symbol('z', imaginary=True)): + assert_all_ineq_raise_TypeError(r, nan) + + +def test_complex_infinity_inequalities(): + raises(TypeError, lambda: zoo > 0) + raises(TypeError, lambda: zoo >= 0) + raises(TypeError, lambda: zoo < 0) + raises(TypeError, lambda: zoo <= 0) + + +def test_inequalities_symbol_name_same(): + """Using the operator and functional forms should give same results.""" + # We test all combinations from a set + # FIXME: could replace with random selection after test passes + A = (x, y, S.Zero, S.One/3, pi, oo, -oo) + for a in A: + for b in A: + assert Gt(a, b) == (a > b) + assert Lt(a, b) == (a < b) + assert Ge(a, b) == (a >= b) + assert Le(a, b) == (a <= b) + + for b in (y, S.Zero, S.One/3, pi, oo, -oo): + assert Gt(x, b, evaluate=False) == (x > b) + assert Lt(x, b, evaluate=False) == (x < b) + assert Ge(x, b, evaluate=False) == (x >= b) + assert Le(x, b, evaluate=False) == (x <= b) + + for b in (y, S.Zero, S.One/3, pi, oo, -oo): + assert Gt(b, x, evaluate=False) == (b > x) + assert Lt(b, x, evaluate=False) == (b < x) + assert Ge(b, x, evaluate=False) == (b >= x) + assert Le(b, x, evaluate=False) == (b <= x) + + +def test_inequalities_symbol_name_same_complex(): + """Using the operator and functional forms should give same results. + With complex non-real numbers, both should raise errors. + """ + # FIXME: could replace with random selection after test passes + for a in (x, S.Zero, S.One/3, pi, oo, Rational(1, 3)): + raises(TypeError, lambda: Gt(a, I)) + raises(TypeError, lambda: a > I) + raises(TypeError, lambda: Lt(a, I)) + raises(TypeError, lambda: a < I) + raises(TypeError, lambda: Ge(a, I)) + raises(TypeError, lambda: a >= I) + raises(TypeError, lambda: Le(a, I)) + raises(TypeError, lambda: a <= I) + + +def test_inequalities_cant_sympify_other(): + # see issue 7833 + from operator import gt, lt, ge, le + + bar = "foo" + + for a in (x, S.Zero, S.One/3, pi, I, zoo, oo, -oo, nan, Rational(1, 3)): + for op in (lt, gt, le, ge): + raises(TypeError, lambda: op(a, bar)) + + +def test_ineq_avoid_wild_symbol_flip(): + # see issue #7951, we try to avoid this internally, e.g., by using + # __lt__ instead of "<". + from sympy.core.symbol import Wild + p = symbols('p', cls=Wild) + # x > p might flip, but Gt should not: + assert Gt(x, p) == Gt(x, p, evaluate=False) + # Previously failed as 'p > x': + e = Lt(x, y).subs({y: p}) + assert e == Lt(x, p, evaluate=False) + # Previously failed as 'p <= x': + e = Ge(x, p).doit() + assert e == Ge(x, p, evaluate=False) + + +def test_issue_8245(): + a = S("6506833320952669167898688709329/5070602400912917605986812821504") + assert rel_check(a, a.n(10)) + assert rel_check(a, a.n(20)) + assert rel_check(a, a.n()) + # prec of 31 is enough to fully capture a as mpf + assert Float(a, 31) == Float(str(a.p), '')/Float(str(a.q), '') + for i in range(31): + r = Rational(Float(a, i)) + f = Float(r) + assert (f < a) == (Rational(f) < a) + # test sign handling + assert (-f < -a) == (Rational(-f) < -a) + # test equivalence handling + isa = Float(a.p,'')/Float(a.q,'') + assert isa <= a + assert not isa < a + assert isa >= a + assert not isa > a + assert isa > 0 + + a = sqrt(2) + r = Rational(str(a.n(30))) + assert rel_check(a, r) + + a = sqrt(2) + r = Rational(str(a.n(29))) + assert rel_check(a, r) + + assert Eq(log(cos(2)**2 + sin(2)**2), 0) is S.true + + +def test_issue_8449(): + p = Symbol('p', nonnegative=True) + assert Lt(-oo, p) + assert Ge(-oo, p) is S.false + assert Gt(oo, -p) + assert Le(oo, -p) is S.false + + +def test_simplify_relational(): + assert simplify(x*(y + 1) - x*y - x + 1 < x) == (x > 1) + assert simplify(x*(y + 1) - x*y - x - 1 < x) == (x > -1) + assert simplify(x < x*(y + 1) - x*y - x + 1) == (x < 1) + q, r = symbols("q r") + assert (((-q + r) - (q - r)) <= 0).simplify() == (q >= r) + root2 = sqrt(2) + equation = ((root2 * (-q + r) - root2 * (q - r)) <= 0).simplify() + assert equation == (q >= r) + r = S.One < x + # canonical operations are not the same as simplification, + # so if there is no simplification, canonicalization will + # be done unless the measure forbids it + assert simplify(r) == r.canonical + assert simplify(r, ratio=0) != r.canonical + # this is not a random test; in _eval_simplify + # this will simplify to S.false and that is the + # reason for the 'if r.is_Relational' in Relational's + # _eval_simplify routine + assert simplify(-(2**(pi*Rational(3, 2)) + 6**pi)**(1/pi) + + 2*(2**(pi/2) + 3**pi)**(1/pi) < 0) is S.false + # canonical at least + assert Eq(y, x).simplify() == Eq(x, y) + assert Eq(x - 1, 0).simplify() == Eq(x, 1) + assert Eq(x - 1, x).simplify() == S.false + assert Eq(2*x - 1, x).simplify() == Eq(x, 1) + assert Eq(2*x, 4).simplify() == Eq(x, 2) + z = cos(1)**2 + sin(1)**2 - 1 # z.is_zero is None + assert Eq(z*x, 0).simplify() == S.true + + assert Ne(y, x).simplify() == Ne(x, y) + assert Ne(x - 1, 0).simplify() == Ne(x, 1) + assert Ne(x - 1, x).simplify() == S.true + assert Ne(2*x - 1, x).simplify() == Ne(x, 1) + assert Ne(2*x, 4).simplify() == Ne(x, 2) + assert Ne(z*x, 0).simplify() == S.false + + # No real-valued assumptions + assert Ge(y, x).simplify() == Le(x, y) + assert Ge(x - 1, 0).simplify() == Ge(x, 1) + assert Ge(x - 1, x).simplify() == S.false + assert Ge(2*x - 1, x).simplify() == Ge(x, 1) + assert Ge(2*x, 4).simplify() == Ge(x, 2) + assert Ge(z*x, 0).simplify() == S.true + assert Ge(x, -2).simplify() == Ge(x, -2) + assert Ge(-x, -2).simplify() == Le(x, 2) + assert Ge(x, 2).simplify() == Ge(x, 2) + assert Ge(-x, 2).simplify() == Le(x, -2) + + assert Le(y, x).simplify() == Ge(x, y) + assert Le(x - 1, 0).simplify() == Le(x, 1) + assert Le(x - 1, x).simplify() == S.true + assert Le(2*x - 1, x).simplify() == Le(x, 1) + assert Le(2*x, 4).simplify() == Le(x, 2) + assert Le(z*x, 0).simplify() == S.true + assert Le(x, -2).simplify() == Le(x, -2) + assert Le(-x, -2).simplify() == Ge(x, 2) + assert Le(x, 2).simplify() == Le(x, 2) + assert Le(-x, 2).simplify() == Ge(x, -2) + + assert Gt(y, x).simplify() == Lt(x, y) + assert Gt(x - 1, 0).simplify() == Gt(x, 1) + assert Gt(x - 1, x).simplify() == S.false + assert Gt(2*x - 1, x).simplify() == Gt(x, 1) + assert Gt(2*x, 4).simplify() == Gt(x, 2) + assert Gt(z*x, 0).simplify() == S.false + assert Gt(x, -2).simplify() == Gt(x, -2) + assert Gt(-x, -2).simplify() == Lt(x, 2) + assert Gt(x, 2).simplify() == Gt(x, 2) + assert Gt(-x, 2).simplify() == Lt(x, -2) + + assert Lt(y, x).simplify() == Gt(x, y) + assert Lt(x - 1, 0).simplify() == Lt(x, 1) + assert Lt(x - 1, x).simplify() == S.true + assert Lt(2*x - 1, x).simplify() == Lt(x, 1) + assert Lt(2*x, 4).simplify() == Lt(x, 2) + assert Lt(z*x, 0).simplify() == S.false + assert Lt(x, -2).simplify() == Lt(x, -2) + assert Lt(-x, -2).simplify() == Gt(x, 2) + assert Lt(x, 2).simplify() == Lt(x, 2) + assert Lt(-x, 2).simplify() == Gt(x, -2) + + # Test particular branches of _eval_simplify + m = exp(1) - exp_polar(1) + assert simplify(m*x > 1) is S.false + # These two test the same branch + assert simplify(m*x + 2*m*y > 1) is S.false + assert simplify(m*x + y > 1 + y) is S.false + + +def test_equals(): + w, x, y, z = symbols('w:z') + f = Function('f') + assert Eq(x, 1).equals(Eq(x*(y + 1) - x*y - x + 1, x)) + assert Eq(x, y).equals(x < y, True) == False + assert Eq(x, f(1)).equals(Eq(x, f(2)), True) == f(1) - f(2) + assert Eq(f(1), y).equals(Eq(f(2), y), True) == f(1) - f(2) + assert Eq(x, f(1)).equals(Eq(f(2), x), True) == f(1) - f(2) + assert Eq(f(1), x).equals(Eq(x, f(2)), True) == f(1) - f(2) + assert Eq(w, x).equals(Eq(y, z), True) == False + assert Eq(f(1), f(2)).equals(Eq(f(3), f(4)), True) == f(1) - f(3) + assert (x < y).equals(y > x, True) == True + assert (x < y).equals(y >= x, True) == False + assert (x < y).equals(z < y, True) == False + assert (x < y).equals(x < z, True) == False + assert (x < f(1)).equals(x < f(2), True) == f(1) - f(2) + assert (f(1) < x).equals(f(2) < x, True) == f(1) - f(2) + + +def test_reversed(): + assert (x < y).reversed == (y > x) + assert (x <= y).reversed == (y >= x) + assert Eq(x, y, evaluate=False).reversed == Eq(y, x, evaluate=False) + assert Ne(x, y, evaluate=False).reversed == Ne(y, x, evaluate=False) + assert (x >= y).reversed == (y <= x) + assert (x > y).reversed == (y < x) + + +def test_canonical(): + c = [i.canonical for i in ( + x + y < z, + x + 2 > 3, + x < 2, + S(2) > x, + x**2 > -x/y, + Gt(3, 2, evaluate=False) + )] + assert [i.canonical for i in c] == c + assert [i.reversed.canonical for i in c] == c + assert not any(i.lhs.is_Number and not i.rhs.is_Number for i in c) + + c = [i.reversed.func(i.rhs, i.lhs, evaluate=False).canonical for i in c] + assert [i.canonical for i in c] == c + assert [i.reversed.canonical for i in c] == c + assert not any(i.lhs.is_Number and not i.rhs.is_Number for i in c) + assert Eq(y < x, x > y).canonical is S.true + + +@XFAIL +def test_issue_8444_nonworkingtests(): + x = symbols('x', real=True) + assert (x <= oo) == (x >= -oo) == True + + x = symbols('x') + assert x >= floor(x) + assert (x < floor(x)) == False + assert x <= ceiling(x) + assert (x > ceiling(x)) == False + + +def test_issue_8444_workingtests(): + x = symbols('x') + assert Gt(x, floor(x)) == Gt(x, floor(x), evaluate=False) + assert Ge(x, floor(x)) == Ge(x, floor(x), evaluate=False) + assert Lt(x, ceiling(x)) == Lt(x, ceiling(x), evaluate=False) + assert Le(x, ceiling(x)) == Le(x, ceiling(x), evaluate=False) + i = symbols('i', integer=True) + assert (i > floor(i)) == False + assert (i < ceiling(i)) == False + + +def test_issue_10304(): + d = cos(1)**2 + sin(1)**2 - 1 + assert d.is_comparable is False # if this fails, find a new d + e = 1 + d*I + assert simplify(Eq(e, 0)) is S.false + + +def test_issue_18412(): + d = (Rational(1, 6) + z / 4 / y) + assert Eq(x, pi * y**3 * d).replace(y**3, z) == Eq(x, pi * z * d) + + +def test_issue_10401(): + x = symbols('x') + fin = symbols('inf', finite=True) + inf = symbols('inf', infinite=True) + inf2 = symbols('inf2', infinite=True) + infx = symbols('infx', infinite=True, extended_real=True) + # Used in the commented tests below: + #infx2 = symbols('infx2', infinite=True, extended_real=True) + infnx = symbols('inf~x', infinite=True, extended_real=False) + infnx2 = symbols('inf~x2', infinite=True, extended_real=False) + infp = symbols('infp', infinite=True, extended_positive=True) + infp1 = symbols('infp1', infinite=True, extended_positive=True) + infn = symbols('infn', infinite=True, extended_negative=True) + zero = symbols('z', zero=True) + nonzero = symbols('nz', zero=False, finite=True) + + assert Eq(1/(1/x + 1), 1).func is Eq + assert Eq(1/(1/x + 1), 1).subs(x, S.ComplexInfinity) is S.true + assert Eq(1/(1/fin + 1), 1) is S.false + + T, F = S.true, S.false + assert Eq(fin, inf) is F + assert Eq(inf, inf2) not in (T, F) and inf != inf2 + assert Eq(1 + inf, 2 + inf2) not in (T, F) and inf != inf2 + assert Eq(infp, infp1) is T + assert Eq(infp, infn) is F + assert Eq(1 + I*oo, I*oo) is F + assert Eq(I*oo, 1 + I*oo) is F + assert Eq(1 + I*oo, 2 + I*oo) is F + assert Eq(1 + I*oo, 2 + I*infx) is F + assert Eq(1 + I*oo, 2 + infx) is F + # FIXME: The test below fails because (-infx).is_extended_positive is True + # (should be None) + #assert Eq(1 + I*infx, 1 + I*infx2) not in (T, F) and infx != infx2 + # + assert Eq(zoo, sqrt(2) + I*oo) is F + assert Eq(zoo, oo) is F + r = Symbol('r', real=True) + i = Symbol('i', imaginary=True) + assert Eq(i*I, r) not in (T, F) + assert Eq(infx, infnx) is F + assert Eq(infnx, infnx2) not in (T, F) and infnx != infnx2 + assert Eq(zoo, oo) is F + assert Eq(inf/inf2, 0) is F + assert Eq(inf/fin, 0) is F + assert Eq(fin/inf, 0) is T + assert Eq(zero/nonzero, 0) is T and ((zero/nonzero) != 0) + # The commented out test below is incorrect because: + assert zoo == -zoo + assert Eq(zoo, -zoo) is T + assert Eq(oo, -oo) is F + assert Eq(inf, -inf) not in (T, F) + + assert Eq(fin/(fin + 1), 1) is S.false + + o = symbols('o', odd=True) + assert Eq(o, 2*o) is S.false + + p = symbols('p', positive=True) + assert Eq(p/(p - 1), 1) is F + + +def test_issue_10633(): + assert Eq(True, False) == False + assert Eq(False, True) == False + assert Eq(True, True) == True + assert Eq(False, False) == True + + +def test_issue_10927(): + x = symbols('x') + assert str(Eq(x, oo)) == 'Eq(x, oo)' + assert str(Eq(x, -oo)) == 'Eq(x, -oo)' + + +def test_issues_13081_12583_12534(): + # 13081 + r = Rational('905502432259640373/288230376151711744') + assert (r < pi) is S.false + assert (r > pi) is S.true + # 12583 + v = sqrt(2) + u = sqrt(v) + 2/sqrt(10 - 8/sqrt(2 - v) + 4*v*(1/sqrt(2 - v) - 1)) + assert (u >= 0) is S.true + # 12534; Rational vs NumberSymbol + # here are some precisions for which Rational forms + # at a lower and higher precision bracket the value of pi + # e.g. for p = 20: + # Rational(pi.n(p + 1)).n(25) = 3.14159265358979323846 2834 + # pi.n(25) = 3.14159265358979323846 2643 + # Rational(pi.n(p )).n(25) = 3.14159265358979323846 1987 + assert [p for p in range(20, 50) if + (Rational(pi.n(p)) < pi) and + (pi < Rational(pi.n(p + 1)))] == [20, 24, 27, 33, 37, 43, 48] + # pick one such precision and affirm that the reversed operation + # gives the opposite result, i.e. if x < y is true then x > y + # must be false + for i in (20, 21): + v = pi.n(i) + assert rel_check(Rational(v), pi) + assert rel_check(v, pi) + assert rel_check(pi.n(20), pi.n(21)) + # Float vs Rational + # the rational form is less than the floating representation + # at the same precision + assert [i for i in range(15, 50) if Rational(pi.n(i)) > pi.n(i)] == [] + # this should be the same if we reverse the relational + assert [i for i in range(15, 50) if pi.n(i) < Rational(pi.n(i))] == [] + +def test_issue_18188(): + from sympy.sets.conditionset import ConditionSet + result1 = Eq(x*cos(x) - 3*sin(x), 0) + assert result1.as_set() == ConditionSet(x, Eq(x*cos(x) - 3*sin(x), 0), Reals) + + result2 = Eq(x**2 + sqrt(x*2) + sin(x), 0) + assert result2.as_set() == ConditionSet(x, Eq(sqrt(2)*sqrt(x) + x**2 + sin(x), 0), Reals) + +def test_binary_symbols(): + ans = {x} + for f in Eq, Ne: + for t in S.true, S.false: + eq = f(x, S.true) + assert eq.binary_symbols == ans + assert eq.reversed.binary_symbols == ans + assert f(x, 1).binary_symbols == set() + + +def test_rel_args(): + # can't have Boolean args; this is automatic for True/False + # with Python 3 and we confirm that SymPy does the same + # for true/false + for op in ['<', '<=', '>', '>=']: + for b in (S.true, x < 1, And(x, y)): + for v in (0.1, 1, 2**32, t, S.One): + raises(TypeError, lambda: Relational(b, v, op)) + + +def test_nothing_happens_to_Eq_condition_during_simplify(): + # issue 25701 + r = symbols('r', real=True) + assert Eq(2*sign(r + 3)/(5*Abs(r + 3)**Rational(3, 5)), 0 + ).simplify() == Eq(Piecewise( + (0, Eq(r, -3)), ((r + 3)/(5*Abs((r + 3)**Rational(8, 5)))*2, True)), 0) + + +def test_issue_15847(): + a = Ne(x*(x + y), x**2 + x*y) + assert simplify(a) == False + + +def test_negated_property(): + eq = Eq(x, y) + assert eq.negated == Ne(x, y) + + eq = Ne(x, y) + assert eq.negated == Eq(x, y) + + eq = Ge(x + y, y - x) + assert eq.negated == Lt(x + y, y - x) + + for f in (Eq, Ne, Ge, Gt, Le, Lt): + assert f(x, y).negated.negated == f(x, y) + + +def test_reversedsign_property(): + eq = Eq(x, y) + assert eq.reversedsign == Eq(-x, -y) + + eq = Ne(x, y) + assert eq.reversedsign == Ne(-x, -y) + + eq = Ge(x + y, y - x) + assert eq.reversedsign == Le(-x - y, x - y) + + for f in (Eq, Ne, Ge, Gt, Le, Lt): + assert f(x, y).reversedsign.reversedsign == f(x, y) + + for f in (Eq, Ne, Ge, Gt, Le, Lt): + assert f(-x, y).reversedsign.reversedsign == f(-x, y) + + for f in (Eq, Ne, Ge, Gt, Le, Lt): + assert f(x, -y).reversedsign.reversedsign == f(x, -y) + + for f in (Eq, Ne, Ge, Gt, Le, Lt): + assert f(-x, -y).reversedsign.reversedsign == f(-x, -y) + + +def test_reversed_reversedsign_property(): + for f in (Eq, Ne, Ge, Gt, Le, Lt): + assert f(x, y).reversed.reversedsign == f(x, y).reversedsign.reversed + + for f in (Eq, Ne, Ge, Gt, Le, Lt): + assert f(-x, y).reversed.reversedsign == f(-x, y).reversedsign.reversed + + for f in (Eq, Ne, Ge, Gt, Le, Lt): + assert f(x, -y).reversed.reversedsign == f(x, -y).reversedsign.reversed + + for f in (Eq, Ne, Ge, Gt, Le, Lt): + assert f(-x, -y).reversed.reversedsign == \ + f(-x, -y).reversedsign.reversed + + +def test_improved_canonical(): + def test_different_forms(listofforms): + for form1, form2 in combinations(listofforms, 2): + assert form1.canonical == form2.canonical + + def generate_forms(expr): + return [expr, expr.reversed, expr.reversedsign, + expr.reversed.reversedsign] + + test_different_forms(generate_forms(x > -y)) + test_different_forms(generate_forms(x >= -y)) + test_different_forms(generate_forms(Eq(x, -y))) + test_different_forms(generate_forms(Ne(x, -y))) + test_different_forms(generate_forms(pi < x)) + test_different_forms(generate_forms(pi - 5*y < -x + 2*y**2 - 7)) + + assert (pi >= x).canonical == (x <= pi) + + +def test_set_equality_canonical(): + a, b, c = symbols('a b c') + + A = Eq(FiniteSet(a, b, c), FiniteSet(1, 2, 3)) + B = Ne(FiniteSet(a, b, c), FiniteSet(4, 5, 6)) + + assert A.canonical == A.reversed + assert B.canonical == B.reversed + + +def test_trigsimp(): + # issue 16736 + s, c = sin(2*x), cos(2*x) + eq = Eq(s, c) + assert trigsimp(eq) == eq # no rearrangement of sides + # simplification of sides might result in + # an unevaluated Eq + changed = trigsimp(Eq(s + c, sqrt(2))) + assert isinstance(changed, Eq) + assert changed.subs(x, pi/8) is S.true + # or an evaluated one + assert trigsimp(Eq(cos(x)**2 + sin(x)**2, 1)) is S.true + + +def test_polynomial_relation_simplification(): + assert Ge(3*x*(x + 1) + 4, 3*x).simplify() in [Ge(x**2, -Rational(4,3)), Le(-x**2, Rational(4, 3))] + assert Le(-(3*x*(x + 1) + 4), -3*x).simplify() in [Ge(x**2, -Rational(4,3)), Le(-x**2, Rational(4, 3))] + assert ((x**2+3)*(x**2-1)+3*x >= 2*x**2).simplify() in [(x**4 + 3*x >= 3), (-x**4 - 3*x <= -3)] + + +def test_multivariate_linear_function_simplification(): + assert Ge(x + y, x - y).simplify() == Ge(y, 0) + assert Le(-x + y, -x - y).simplify() == Le(y, 0) + assert Eq(2*x + y, 2*x + y - 3).simplify() == False + assert (2*x + y > 2*x + y - 3).simplify() == True + assert (2*x + y < 2*x + y - 3).simplify() == False + assert (2*x + y < 2*x + y + 3).simplify() == True + a, b, c, d, e, f, g = symbols('a b c d e f g') + assert Lt(a + b + c + 2*d, 3*d - f + g). simplify() == Lt(a, -b - c + d - f + g) + + +def test_nonpolymonial_relations(): + assert Eq(cos(x), 0).simplify() == Eq(cos(x), 0) + +def test_18778(): + raises(TypeError, lambda: is_le(Basic(), Basic())) + raises(TypeError, lambda: is_gt(Basic(), Basic())) + raises(TypeError, lambda: is_ge(Basic(), Basic())) + raises(TypeError, lambda: is_lt(Basic(), Basic())) + +def test_EvalEq(): + """ + + This test exists to ensure backwards compatibility. + The method to use is _eval_is_eq + """ + from sympy.core.expr import Expr + + class PowTest(Expr): + def __new__(cls, base, exp): + return Basic.__new__(PowTest, _sympify(base), _sympify(exp)) + + def _eval_Eq(lhs, rhs): + if type(lhs) == PowTest and type(rhs) == PowTest: + return lhs.args[0] == rhs.args[0] and lhs.args[1] == rhs.args[1] + + assert is_eq(PowTest(3, 4), PowTest(3,4)) + assert is_eq(PowTest(3, 4), _sympify(4)) is None + assert is_neq(PowTest(3, 4), PowTest(3,7)) + + +def test_is_eq(): + # test assumptions + assert is_eq(x, y, Q.infinite(x) & Q.finite(y)) is False + assert is_eq(x, y, Q.infinite(x) & Q.infinite(y) & Q.extended_real(x) & ~Q.extended_real(y)) is False + assert is_eq(x, y, Q.infinite(x) & Q.infinite(y) & Q.extended_positive(x) & Q.extended_negative(y)) is False + + assert is_eq(x+I, y+I, Q.infinite(x) & Q.finite(y)) is False + assert is_eq(1+x*I, 1+y*I, Q.infinite(x) & Q.finite(y)) is False + + assert is_eq(x, S(0), assumptions=Q.zero(x)) + assert is_eq(x, S(0), assumptions=~Q.zero(x)) is False + assert is_eq(x, S(0), assumptions=Q.nonzero(x)) is False + assert is_neq(x, S(0), assumptions=Q.zero(x)) is False + assert is_neq(x, S(0), assumptions=~Q.zero(x)) + assert is_neq(x, S(0), assumptions=Q.nonzero(x)) + + # test registration + class PowTest(Expr): + def __new__(cls, base, exp): + return Basic.__new__(cls, _sympify(base), _sympify(exp)) + + @dispatch(PowTest, PowTest) + def _eval_is_eq(lhs, rhs): + if type(lhs) == PowTest and type(rhs) == PowTest: + return fuzzy_and([is_eq(lhs.args[0], rhs.args[0]), is_eq(lhs.args[1], rhs.args[1])]) + + assert is_eq(PowTest(3, 4), PowTest(3,4)) + assert is_eq(PowTest(3, 4), _sympify(4)) is None + assert is_neq(PowTest(3, 4), PowTest(3,7)) + + +def test_is_ge_le(): + # test assumptions + assert is_ge(x, S(0), Q.nonnegative(x)) is True + assert is_ge(x, S(0), Q.negative(x)) is False + + # test registration + class PowTest(Expr): + def __new__(cls, base, exp): + return Basic.__new__(cls, _sympify(base), _sympify(exp)) + + @dispatch(PowTest, PowTest) + def _eval_is_ge(lhs, rhs): + if type(lhs) == PowTest and type(rhs) == PowTest: + return fuzzy_and([is_ge(lhs.args[0], rhs.args[0]), is_ge(lhs.args[1], rhs.args[1])]) + + assert is_ge(PowTest(3, 9), PowTest(3,2)) + assert is_gt(PowTest(3, 9), PowTest(3,2)) + assert is_le(PowTest(3, 2), PowTest(3,9)) + assert is_lt(PowTest(3, 2), PowTest(3,9)) + + +def test_weak_strict(): + for func in (Eq, Ne): + eq = func(x, 1) + assert eq.strict == eq.weak == eq + eq = Gt(x, 1) + assert eq.weak == Ge(x, 1) + assert eq.strict == eq + eq = Lt(x, 1) + assert eq.weak == Le(x, 1) + assert eq.strict == eq + eq = Ge(x, 1) + assert eq.strict == Gt(x, 1) + assert eq.weak == eq + eq = Le(x, 1) + assert eq.strict == Lt(x, 1) + assert eq.weak == eq + + +def test_issue_23731(): + i = symbols('i', integer=True) + assert unchanged(Eq, i, 1.0) + assert unchanged(Eq, i/2, 0.5) + ni = symbols('ni', integer=False) + assert Eq(ni, 1) == False + assert unchanged(Eq, ni, .1) + assert Eq(ni, 1.0) == False + nr = symbols('nr', rational=False) + assert Eq(nr, .1) == False + + +def test_rewrite_Add(): + from sympy.testing.pytest import warns_deprecated_sympy + with warns_deprecated_sympy(): + assert Eq(x, y).rewrite(Add) == x - y diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_rules.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_rules.py new file mode 100644 index 0000000000000000000000000000000000000000..31cb88b52db21f39653033b4567526e992be99f0 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_rules.py @@ -0,0 +1,14 @@ +from sympy.core.rules import Transform + +from sympy.testing.pytest import raises + + +def test_Transform(): + add1 = Transform(lambda x: x + 1, lambda x: x % 2 == 1) + assert add1[1] == 2 + assert (1 in add1) is True + assert add1.get(1) == 2 + + raises(KeyError, lambda: add1[2]) + assert (2 in add1) is False + assert add1.get(2) is None diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_singleton.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_singleton.py new file mode 100644 index 0000000000000000000000000000000000000000..893713f27d74b884391ad800d186eafe5337ab1c --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_singleton.py @@ -0,0 +1,76 @@ +from sympy.core.basic import Basic +from sympy.core.numbers import Rational +from sympy.core.singleton import S, Singleton + +def test_Singleton(): + + class MySingleton(Basic, metaclass=Singleton): + pass + + MySingleton() # force instantiation + assert MySingleton() is not Basic() + assert MySingleton() is MySingleton() + assert S.MySingleton is MySingleton() + + class MySingleton_sub(MySingleton): + pass + + MySingleton_sub() + assert MySingleton_sub() is not MySingleton() + assert MySingleton_sub() is MySingleton_sub() + +def test_singleton_redefinition(): + class TestSingleton(Basic, metaclass=Singleton): + pass + + assert TestSingleton() is S.TestSingleton + + class TestSingleton(Basic, metaclass=Singleton): + pass + + assert TestSingleton() is S.TestSingleton + +def test_names_in_namespace(): + # Every singleton name should be accessible from the 'from sympy import *' + # namespace in addition to the S object. However, it does not need to be + # by the same name (e.g., oo instead of S.Infinity). + + # As a general rule, things should only be added to the singleton registry + # if they are used often enough that code can benefit either from the + # performance benefit of being able to use 'is' (this only matters in very + # tight loops), or from the memory savings of having exactly one instance + # (this matters for the numbers singletons, but very little else). The + # singleton registry is already a bit overpopulated, and things cannot be + # removed from it without breaking backwards compatibility. So if you got + # here by adding something new to the singletons, ask yourself if it + # really needs to be singletonized. Note that SymPy classes compare to one + # another just fine, so Class() == Class() will give True even if each + # Class() returns a new instance. Having unique instances is only + # necessary for the above noted performance gains. It should not be needed + # for any behavioral purposes. + + # If you determine that something really should be a singleton, it must be + # accessible to sympify() without using 'S' (hence this test). Also, its + # str printer should print a form that does not use S. This is because + # sympify() disables attribute lookups by default for safety purposes. + d = {} + exec('from sympy import *', d) + + for name in dir(S) + list(S._classes_to_install): + if name.startswith('_'): + continue + if name == 'register': + continue + if isinstance(getattr(S, name), Rational): + continue + if getattr(S, name).__module__.startswith('sympy.physics'): + continue + if name in ['MySingleton', 'MySingleton_sub', 'TestSingleton']: + # From the tests above + continue + if name == 'NegativeInfinity': + # Accessible by -oo + continue + + # Use is here to ensure it is the exact same object + assert any(getattr(S, name) is i for i in d.values()), name diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_sorting.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_sorting.py new file mode 100644 index 0000000000000000000000000000000000000000..a18dbfb624552cf2fa11bb7f3c3a9e865caeb0c4 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_sorting.py @@ -0,0 +1,28 @@ +from sympy.core.sorting import default_sort_key, ordered +from sympy.testing.pytest import raises + +from sympy.abc import x + + +def test_default_sort_key(): + func = lambda x: x + assert sorted([func, x, func], key=default_sort_key) == [func, func, x] + + class C: + def __repr__(self): + return 'x.y' + func = C() + assert sorted([x, func], key=default_sort_key) == [func, x] + + +def test_ordered(): + # Issue 7210 - this had been failing with python2/3 problems + assert (list(ordered([{1:3, 2:4, 9:10}, {1:3}])) == \ + [{1: 3}, {1: 3, 2: 4, 9: 10}]) + # warnings should not be raised for identical items + l = [1, 1] + assert list(ordered(l, warn=True)) == l + l = [[1], [2], [1]] + assert list(ordered(l, warn=True)) == [[1], [1], [2]] + raises(ValueError, lambda: list(ordered(['a', 'ab'], keys=[lambda x: x[0]], + default=False, warn=True))) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_subs.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_subs.py new file mode 100644 index 0000000000000000000000000000000000000000..0803a4b1b5e93b8a35f43516ccef3ab9a16f08ec --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_subs.py @@ -0,0 +1,895 @@ +from sympy.calculus.accumulationbounds import AccumBounds +from sympy.core.add import Add +from sympy.core.basic import Basic +from sympy.core.containers import (Dict, Tuple) +from sympy.core.function import (Derivative, Function, Lambda, Subs) +from sympy.core.mul import Mul +from sympy.core.numbers import (Float, I, Integer, Rational, oo, pi, zoo) +from sympy.core.relational import Eq +from sympy.core.singleton import S +from sympy.core.symbol import (Symbol, Wild, symbols) +from sympy.core.sympify import SympifyError +from sympy.functions.elementary.exponential import (exp, log) +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.piecewise import Piecewise +from sympy.functions.elementary.trigonometric import (atan2, cos, cot, sin, tan) +from sympy.matrices.dense import (Matrix, zeros) +from sympy.matrices.expressions.special import ZeroMatrix +from sympy.polys.polytools import factor +from sympy.polys.rootoftools import RootOf +from sympy.simplify.cse_main import cse +from sympy.simplify.simplify import nsimplify +from sympy.core.basic import _aresame +from sympy.testing.pytest import XFAIL, raises +from sympy.abc import a, x, y, z, t + + +def test_subs(): + n3 = Rational(3) + e = x + e = e.subs(x, n3) + assert e == Rational(3) + + e = 2*x + assert e == 2*x + e = e.subs(x, n3) + assert e == Rational(6) + + +def test_subs_Matrix(): + z = zeros(2) + z1 = ZeroMatrix(2, 2) + assert (x*y).subs({x:z, y:0}) in [z, z1] + assert (x*y).subs({y:z, x:0}) == 0 + assert (x*y).subs({y:z, x:0}, simultaneous=True) in [z, z1] + assert (x + y).subs({x: z, y: z}, simultaneous=True) in [z, z1] + assert (x + y).subs({x: z, y: z}) in [z, z1] + + # Issue #15528 + assert Mul(Matrix([[3]]), x).subs(x, 2.0) == Matrix([[6.0]]) + # Does not raise a TypeError, see comment on the MatAdd postprocessor + assert Add(Matrix([[3]]), x).subs(x, 2.0) == Add(Matrix([[3]]), 2.0) + + +def test_subs_AccumBounds(): + e = x + e = e.subs(x, AccumBounds(1, 3)) + assert e == AccumBounds(1, 3) + + e = 2*x + e = e.subs(x, AccumBounds(1, 3)) + assert e == AccumBounds(2, 6) + + e = x + x**2 + e = e.subs(x, AccumBounds(-1, 1)) + assert e == AccumBounds(-1, 2) + + +def test_trigonometric(): + n3 = Rational(3) + e = (sin(x)**2).diff(x) + assert e == 2*sin(x)*cos(x) + e = e.subs(x, n3) + assert e == 2*cos(n3)*sin(n3) + + e = (sin(x)**2).diff(x) + assert e == 2*sin(x)*cos(x) + e = e.subs(sin(x), cos(x)) + assert e == 2*cos(x)**2 + + assert exp(pi).subs(exp, sin) == 0 + assert cos(exp(pi)).subs(exp, sin) == 1 + + i = Symbol('i', integer=True) + zoo = S.ComplexInfinity + assert tan(x).subs(x, pi/2) is zoo + assert cot(x).subs(x, pi) is zoo + assert cot(i*x).subs(x, pi) is zoo + assert tan(i*x).subs(x, pi/2) == tan(i*pi/2) + assert tan(i*x).subs(x, pi/2).subs(i, 1) is zoo + o = Symbol('o', odd=True) + assert tan(o*x).subs(x, pi/2) == tan(o*pi/2) + + +def test_powers(): + assert sqrt(1 - sqrt(x)).subs(x, 4) == I + assert (sqrt(1 - x**2)**3).subs(x, 2) == - 3*I*sqrt(3) + assert (x**Rational(1, 3)).subs(x, 27) == 3 + assert (x**Rational(1, 3)).subs(x, -27) == 3*(-1)**Rational(1, 3) + assert ((-x)**Rational(1, 3)).subs(x, 27) == 3*(-1)**Rational(1, 3) + n = Symbol('n', negative=True) + assert (x**n).subs(x, 0) is S.ComplexInfinity + assert exp(-1).subs(S.Exp1, 0) is S.ComplexInfinity + assert (x**(4.0*y)).subs(x**(2.0*y), n) == n**2.0 + assert (2**(x + 2)).subs(2, 3) == 3**(x + 3) + + +def test_logexppow(): # no eval() + x = Symbol('x', real=True) + w = Symbol('w') + e = (3**(1 + x) + 2**(1 + x))/(3**x + 2**x) + assert e.subs(2**x, w) != e + assert e.subs(exp(x*log(Rational(2))), w) != e + + +def test_bug(): + x1 = Symbol('x1') + x2 = Symbol('x2') + y = x1*x2 + assert y.subs(x1, Float(3.0)) == Float(3.0)*x2 + + +def test_subbug1(): + # see that they don't fail + (x**x).subs(x, 1) + (x**x).subs(x, 1.0) + + +def test_subbug2(): + # Ensure this does not cause infinite recursion + assert Float(7.7).epsilon_eq(abs(x).subs(x, -7.7)) + + +def test_dict_set(): + a, b, c = map(Wild, 'abc') + + f = 3*cos(4*x) + r = f.match(a*cos(b*x)) + assert r == {a: 3, b: 4} + e = a/b*sin(b*x) + assert e.subs(r) == r[a]/r[b]*sin(r[b]*x) + assert e.subs(r) == 3*sin(4*x) / 4 + s = set(r.items()) + assert e.subs(s) == r[a]/r[b]*sin(r[b]*x) + assert e.subs(s) == 3*sin(4*x) / 4 + + assert e.subs(r) == r[a]/r[b]*sin(r[b]*x) + assert e.subs(r) == 3*sin(4*x) / 4 + assert x.subs(Dict((x, 1))) == 1 + + +def test_dict_ambigous(): # see issue 3566 + f = x*exp(x) + g = z*exp(z) + + df = {x: y, exp(x): y} + dg = {z: y, exp(z): y} + + assert f.subs(df) == y**2 + assert g.subs(dg) == y**2 + + # and this is how order can affect the result + assert f.subs(x, y).subs(exp(x), y) == y*exp(y) + assert f.subs(exp(x), y).subs(x, y) == y**2 + + # length of args and count_ops are the same so + # default_sort_key resolves ordering...if one + # doesn't want this result then an unordered + # sequence should not be used. + e = 1 + x*y + assert e.subs({x: y, y: 2}) == 5 + # here, there are no obviously clashing keys or values + # but the results depend on the order + assert exp(x/2 + y).subs({exp(y + 1): 2, x: 2}) == exp(y + 1) + + +def test_deriv_sub_bug3(): + f = Function('f') + pat = Derivative(f(x), x, x) + assert pat.subs(y, y**2) == Derivative(f(x), x, x) + assert pat.subs(y, y**2) != Derivative(f(x), x) + + +def test_equality_subs1(): + f = Function('f') + eq = Eq(f(x)**2, x) + res = Eq(Integer(16), x) + assert eq.subs(f(x), 4) == res + + +def test_equality_subs2(): + f = Function('f') + eq = Eq(f(x)**2, 16) + assert bool(eq.subs(f(x), 3)) is False + assert bool(eq.subs(f(x), 4)) is True + + +def test_issue_3742(): + e = sqrt(x)*exp(y) + assert e.subs(sqrt(x), 1) == exp(y) + + +def test_subs_dict1(): + assert (1 + x*y).subs(x, pi) == 1 + pi*y + assert (1 + x*y).subs({x: pi, y: 2}) == 1 + 2*pi + + c2, c3, q1p, q2p, c1, s1, s2, s3 = symbols('c2 c3 q1p q2p c1 s1 s2 s3') + test = (c2**2*q2p*c3 + c1**2*s2**2*q2p*c3 + s1**2*s2**2*q2p*c3 + - c1**2*q1p*c2*s3 - s1**2*q1p*c2*s3) + assert (test.subs({c1**2: 1 - s1**2, c2**2: 1 - s2**2, c3**3: 1 - s3**2}) + == c3*q2p*(1 - s2**2) + c3*q2p*s2**2*(1 - s1**2) + - c2*q1p*s3*(1 - s1**2) + c3*q2p*s1**2*s2**2 - c2*q1p*s3*s1**2) + + +def test_mul(): + x, y, z, a, b, c = symbols('x y z a b c') + A, B, C = symbols('A B C', commutative=0) + assert (x*y*z).subs(z*x, y) == y**2 + assert (z*x).subs(1/x, z) == 1 + assert (x*y/z).subs(1/z, a) == a*x*y + assert (x*y/z).subs(x/z, a) == a*y + assert (x*y/z).subs(y/z, a) == a*x + assert (x*y/z).subs(x/z, 1/a) == y/a + assert (x*y/z).subs(x, 1/a) == y/(z*a) + assert (2*x*y).subs(5*x*y, z) != z*Rational(2, 5) + assert (x*y*A).subs(x*y, a) == a*A + assert (x**2*y**(x*Rational(3, 2))).subs(x*y**(x/2), 2) == 4*y**(x/2) + assert (x*exp(x*2)).subs(x*exp(x), 2) == 2*exp(x) + assert ((x**(2*y))**3).subs(x**y, 2) == 64 + assert (x*A*B).subs(x*A, y) == y*B + assert (x*y*(1 + x)*(1 + x*y)).subs(x*y, 2) == 6*(1 + x) + assert ((1 + A*B)*A*B).subs(A*B, x*A*B) + assert (x*a/z).subs(x/z, A) == a*A + assert (x**3*A).subs(x**2*A, a) == a*x + assert (x**2*A*B).subs(x**2*B, a) == a*A + assert (x**2*A*B).subs(x**2*A, a) == a*B + assert (b*A**3/(a**3*c**3)).subs(a**4*c**3*A**3/b**4, z) == \ + b*A**3/(a**3*c**3) + assert (6*x).subs(2*x, y) == 3*y + assert (y*exp(x*Rational(3, 2))).subs(y*exp(x), 2) == 2*exp(x/2) + assert (y*exp(x*Rational(3, 2))).subs(y*exp(x), 2) == 2*exp(x/2) + assert (A**2*B*A**2*B*A**2).subs(A*B*A, C) == A*C**2*A + assert (x*A**3).subs(x*A, y) == y*A**2 + assert (x**2*A**3).subs(x*A, y) == y**2*A + assert (x*A**3).subs(x*A, B) == B*A**2 + assert (x*A*B*A*exp(x*A*B)).subs(x*A, B) == B**2*A*exp(B*B) + assert (x**2*A*B*A*exp(x*A*B)).subs(x*A, B) == B**3*exp(B**2) + assert (x**3*A*exp(x*A*B)*A*exp(x*A*B)).subs(x*A, B) == \ + x*B*exp(B**2)*B*exp(B**2) + assert (x*A*B*C*A*B).subs(x*A*B, C) == C**2*A*B + assert (-I*a*b).subs(a*b, 2) == -2*I + + # issue 6361 + assert (-8*I*a).subs(-2*a, 1) == 4*I + assert (-I*a).subs(-a, 1) == I + + # issue 6441 + assert (4*x**2).subs(2*x, y) == y**2 + assert (2*4*x**2).subs(2*x, y) == 2*y**2 + assert (-x**3/9).subs(-x/3, z) == -z**2*x + assert (-x**3/9).subs(x/3, z) == -z**2*x + assert (-2*x**3/9).subs(x/3, z) == -2*x*z**2 + assert (-2*x**3/9).subs(-x/3, z) == -2*x*z**2 + assert (-2*x**3/9).subs(-2*x, z) == z*x**2/9 + assert (-2*x**3/9).subs(2*x, z) == -z*x**2/9 + assert (2*(3*x/5/7)**2).subs(3*x/5, z) == 2*(Rational(1, 7))**2*z**2 + assert (4*x).subs(-2*x, z) == 4*x # try keep subs literal + + +def test_subs_simple(): + a = symbols('a', commutative=True) + x = symbols('x', commutative=False) + + assert (2*a).subs(1, 3) == 2*a + assert (2*a).subs(2, 3) == 3*a + assert (2*a).subs(a, 3) == 6 + assert sin(2).subs(1, 3) == sin(2) + assert sin(2).subs(2, 3) == sin(3) + assert sin(a).subs(a, 3) == sin(3) + + assert (2*x).subs(1, 3) == 2*x + assert (2*x).subs(2, 3) == 3*x + assert (2*x).subs(x, 3) == 6 + assert sin(x).subs(x, 3) == sin(3) + + +def test_subs_constants(): + a, b = symbols('a b', commutative=True) + x, y = symbols('x y', commutative=False) + + assert (a*b).subs(2*a, 1) == a*b + assert (1.5*a*b).subs(a, 1) == 1.5*b + assert (2*a*b).subs(2*a, 1) == b + assert (2*a*b).subs(4*a, 1) == 2*a*b + + assert (x*y).subs(2*x, 1) == x*y + assert (1.5*x*y).subs(x, 1) == 1.5*y + assert (2*x*y).subs(2*x, 1) == y + assert (2*x*y).subs(4*x, 1) == 2*x*y + + +def test_subs_commutative(): + a, b, c, d, K = symbols('a b c d K', commutative=True) + + assert (a*b).subs(a*b, K) == K + assert (a*b*a*b).subs(a*b, K) == K**2 + assert (a*a*b*b).subs(a*b, K) == K**2 + assert (a*b*c*d).subs(a*b*c, K) == d*K + assert (a*b**c).subs(a, K) == K*b**c + assert (a*b**c).subs(b, K) == a*K**c + assert (a*b**c).subs(c, K) == a*b**K + assert (a*b*c*b*a).subs(a*b, K) == c*K**2 + assert (a**3*b**2*a).subs(a*b, K) == a**2*K**2 + + +def test_subs_noncommutative(): + w, x, y, z, L = symbols('w x y z L', commutative=False) + alpha = symbols('alpha', commutative=True) + someint = symbols('someint', commutative=True, integer=True) + + assert (x*y).subs(x*y, L) == L + assert (w*y*x).subs(x*y, L) == w*y*x + assert (w*x*y*z).subs(x*y, L) == w*L*z + assert (x*y*x*y).subs(x*y, L) == L**2 + assert (x*x*y).subs(x*y, L) == x*L + assert (x*x*y*y).subs(x*y, L) == x*L*y + assert (w*x*y).subs(x*y*z, L) == w*x*y + assert (x*y**z).subs(x, L) == L*y**z + assert (x*y**z).subs(y, L) == x*L**z + assert (x*y**z).subs(z, L) == x*y**L + assert (w*x*y*z*x*y).subs(x*y*z, L) == w*L*x*y + assert (w*x*y*y*w*x*x*y*x*y*y*x*y).subs(x*y, L) == w*L*y*w*x*L**2*y*L + + # Check fractional power substitutions. It should not do + # substitutions that choose a value for noncommutative log, + # or inverses that don't already appear in the expressions. + assert (x*x*x).subs(x*x, L) == L*x + assert (x*x*x*y*x*x*x*x).subs(x*x, L) == L*x*y*L**2 + for p in range(1, 5): + for k in range(10): + assert (y * x**k).subs(x**p, L) == y * L**(k//p) * x**(k % p) + assert (x**Rational(3, 2)).subs(x**S.Half, L) == x**Rational(3, 2) + assert (x**S.Half).subs(x**S.Half, L) == L + assert (x**Rational(-1, 2)).subs(x**S.Half, L) == x**Rational(-1, 2) + assert (x**Rational(-1, 2)).subs(x**Rational(-1, 2), L) == L + + assert (x**(2*someint)).subs(x**someint, L) == L**2 + assert (x**(2*someint + 3)).subs(x**someint, L) == L**2*x**3 + assert (x**(3*someint + 3)).subs(x**someint, L) == L**3*x**3 + assert (x**(3*someint)).subs(x**(2*someint), L) == L * x**someint + assert (x**(4*someint)).subs(x**(2*someint), L) == L**2 + assert (x**(4*someint + 1)).subs(x**(2*someint), L) == L**2 * x + assert (x**(4*someint)).subs(x**(3*someint), L) == L * x**someint + assert (x**(4*someint + 1)).subs(x**(3*someint), L) == L * x**(someint + 1) + + assert (x**(2*alpha)).subs(x**alpha, L) == x**(2*alpha) + assert (x**(2*alpha + 2)).subs(x**2, L) == x**(2*alpha + 2) + assert ((2*z)**alpha).subs(z**alpha, y) == (2*z)**alpha + assert (x**(2*someint*alpha)).subs(x**someint, L) == x**(2*someint*alpha) + assert (x**(2*someint + alpha)).subs(x**someint, L) == x**(2*someint + alpha) + + # This could in principle be substituted, but is not currently + # because it requires recognizing that someint**2 is divisible by + # someint. + assert (x**(someint**2 + 3)).subs(x**someint, L) == x**(someint**2 + 3) + + # alpha**z := exp(log(alpha) z) is usually well-defined + assert (4**z).subs(2**z, y) == y**2 + + # Negative powers + assert (x**(-1)).subs(x**3, L) == x**(-1) + assert (x**(-2)).subs(x**3, L) == x**(-2) + assert (x**(-3)).subs(x**3, L) == L**(-1) + assert (x**(-4)).subs(x**3, L) == L**(-1) * x**(-1) + assert (x**(-5)).subs(x**3, L) == L**(-1) * x**(-2) + + assert (x**(-1)).subs(x**(-3), L) == x**(-1) + assert (x**(-2)).subs(x**(-3), L) == x**(-2) + assert (x**(-3)).subs(x**(-3), L) == L + assert (x**(-4)).subs(x**(-3), L) == L * x**(-1) + assert (x**(-5)).subs(x**(-3), L) == L * x**(-2) + + assert (x**1).subs(x**(-3), L) == x + assert (x**2).subs(x**(-3), L) == x**2 + assert (x**3).subs(x**(-3), L) == L**(-1) + assert (x**4).subs(x**(-3), L) == L**(-1) * x + assert (x**5).subs(x**(-3), L) == L**(-1) * x**2 + + +def test_subs_basic_funcs(): + a, b, c, d, K = symbols('a b c d K', commutative=True) + w, x, y, z, L = symbols('w x y z L', commutative=False) + + assert (x + y).subs(x + y, L) == L + assert (x - y).subs(x - y, L) == L + assert (x/y).subs(x, L) == L/y + assert (x**y).subs(x, L) == L**y + assert (x**y).subs(y, L) == x**L + assert ((a - c)/b).subs(b, K) == (a - c)/K + assert (exp(x*y - z)).subs(x*y, L) == exp(L - z) + assert (a*exp(x*y - w*z) + b*exp(x*y + w*z)).subs(z, 0) == \ + a*exp(x*y) + b*exp(x*y) + assert ((a - b)/(c*d - a*b)).subs(c*d - a*b, K) == (a - b)/K + assert (w*exp(a*b - c)*x*y/4).subs(x*y, L) == w*exp(a*b - c)*L/4 + + +def test_subs_wild(): + R, S, T, U = symbols('R S T U', cls=Wild) + + assert (R*S).subs(R*S, T) == T + assert (S*R).subs(R*S, T) == T + assert (R + S).subs(R + S, T) == T + assert (R**S).subs(R, T) == T**S + assert (R**S).subs(S, T) == R**T + assert (R*S**T).subs(R, U) == U*S**T + assert (R*S**T).subs(S, U) == R*U**T + assert (R*S**T).subs(T, U) == R*S**U + + +def test_subs_mixed(): + a, b, c, d, K = symbols('a b c d K', commutative=True) + w, x, y, z, L = symbols('w x y z L', commutative=False) + R, S, T, U = symbols('R S T U', cls=Wild) + + assert (a*x*y).subs(x*y, L) == a*L + assert (a*b*x*y*x).subs(x*y, L) == a*b*L*x + assert (R*x*y*exp(x*y)).subs(x*y, L) == R*L*exp(L) + assert (a*x*y*y*x - x*y*z*exp(a*b)).subs(x*y, L) == a*L*y*x - L*z*exp(a*b) + e = c*y*x*y*x**(R*S - a*b) - T*(a*R*b*S) + assert e.subs(x*y, L).subs(a*b, K).subs(R*S, U) == \ + c*y*L*x**(U - K) - T*(U*K) + + +def test_division(): + a, b, c = symbols('a b c', commutative=True) + x, y, z = symbols('x y z', commutative=True) + + assert (1/a).subs(a, c) == 1/c + assert (1/a**2).subs(a, c) == 1/c**2 + assert (1/a**2).subs(a, -2) == Rational(1, 4) + assert (-(1/a**2)).subs(a, -2) == Rational(-1, 4) + + assert (1/x).subs(x, z) == 1/z + assert (1/x**2).subs(x, z) == 1/z**2 + assert (1/x**2).subs(x, -2) == Rational(1, 4) + assert (-(1/x**2)).subs(x, -2) == Rational(-1, 4) + + #issue 5360 + assert (1/x).subs(x, 0) == 1/S.Zero + + +def test_add(): + a, b, c, d, x, y, t = symbols('a b c d x y t') + + assert (a**2 - b - c).subs(a**2 - b, d) in [d - c, a**2 - b - c] + assert (a**2 - c).subs(a**2 - c, d) == d + assert (a**2 - b - c).subs(a**2 - c, d) in [d - b, a**2 - b - c] + assert (a**2 - x - c).subs(a**2 - c, d) in [d - x, a**2 - x - c] + assert (a**2 - b - sqrt(a)).subs(a**2 - sqrt(a), c) == c - b + assert (a + b + exp(a + b)).subs(a + b, c) == c + exp(c) + assert (c + b + exp(c + b)).subs(c + b, a) == a + exp(a) + assert (a + b + c + d).subs(b + c, x) == a + d + x + assert (a + b + c + d).subs(-b - c, x) == a + d - x + assert ((x + 1)*y).subs(x + 1, t) == t*y + assert ((-x - 1)*y).subs(x + 1, t) == -t*y + assert ((x - 1)*y).subs(x + 1, t) == y*(t - 2) + assert ((-x + 1)*y).subs(x + 1, t) == y*(-t + 2) + + # this should work every time: + e = a**2 - b - c + assert e.subs(Add(*e.args[:2]), d) == d + e.args[2] + assert e.subs(a**2 - c, d) == d - b + + # the fallback should recognize when a change has + # been made; while .1 == Rational(1, 10) they are not the same + # and the change should be made + assert (0.1 + a).subs(0.1, Rational(1, 10)) == Rational(1, 10) + a + + e = (-x*(-y + 1) - y*(y - 1)) + ans = (-x*(x) - y*(-x)).expand() + assert e.subs(-y + 1, x) == ans + + #Test issue 18747 + assert (exp(x) + cos(x)).subs(x, oo) == oo + assert Add(*[AccumBounds(-1, 1), oo]) == oo + assert Add(*[oo, AccumBounds(-1, 1)]) == oo + + +def test_subs_issue_4009(): + assert (I*Symbol('a')).subs(1, 2) == I*Symbol('a') + + +def test_functions_subs(): + f, g = symbols('f g', cls=Function) + l = Lambda((x, y), sin(x) + y) + assert (g(y, x) + cos(x)).subs(g, l) == sin(y) + x + cos(x) + assert (f(x)**2).subs(f, sin) == sin(x)**2 + assert (f(x, y)).subs(f, log) == log(x, y) + assert (f(x, y)).subs(f, sin) == f(x, y) + assert (sin(x) + atan2(x, y)).subs([[atan2, f], [sin, g]]) == \ + f(x, y) + g(x) + assert (g(f(x + y, x))).subs([[f, l], [g, exp]]) == exp(x + sin(x + y)) + + +def test_derivative_subs(): + f = Function('f') + g = Function('g') + assert Derivative(f(x), x).subs(f(x), y) != 0 + # need xreplace to put the function back, see #13803 + assert Derivative(f(x), x).subs(f(x), y).xreplace({y: f(x)}) == \ + Derivative(f(x), x) + # issues 5085, 5037 + assert cse(Derivative(f(x), x) + f(x))[1][0].has(Derivative) + assert cse(Derivative(f(x, y), x) + + Derivative(f(x, y), y))[1][0].has(Derivative) + eq = Derivative(g(x), g(x)) + assert eq.subs(g, f) == Derivative(f(x), f(x)) + assert eq.subs(g(x), f(x)) == Derivative(f(x), f(x)) + assert eq.subs(g, cos) == Subs(Derivative(y, y), y, cos(x)) + + +def test_derivative_subs2(): + f_func, g_func = symbols('f g', cls=Function) + f, g = f_func(x, y, z), g_func(x, y, z) + assert Derivative(f, x, y).subs(Derivative(f, x, y), g) == g + assert Derivative(f, y, x).subs(Derivative(f, x, y), g) == g + assert Derivative(f, x, y).subs(Derivative(f, x), g) == Derivative(g, y) + assert Derivative(f, x, y).subs(Derivative(f, y), g) == Derivative(g, x) + assert (Derivative(f, x, y, z).subs( + Derivative(f, x, z), g) == Derivative(g, y)) + assert (Derivative(f, x, y, z).subs( + Derivative(f, z, y), g) == Derivative(g, x)) + assert (Derivative(f, x, y, z).subs( + Derivative(f, z, y, x), g) == g) + + # Issue 9135 + assert (Derivative(f, x, x, y).subs( + Derivative(f, y, y), g) == Derivative(f, x, x, y)) + assert (Derivative(f, x, y, y, z).subs( + Derivative(f, x, y, y, y), g) == Derivative(f, x, y, y, z)) + + assert Derivative(f, x, y).subs(Derivative(f_func(x), x, y), g) == Derivative(f, x, y) + + +def test_derivative_subs3(): + dex = Derivative(exp(x), x) + assert Derivative(dex, x).subs(dex, exp(x)) == dex + assert dex.subs(exp(x), dex) == Derivative(exp(x), x, x) + + +def test_issue_5284(): + A, B = symbols('A B', commutative=False) + assert (x*A).subs(x**2*A, B) == x*A + assert (A**2).subs(A**3, B) == A**2 + assert (A**6).subs(A**3, B) == B**2 + + +def test_subs_iter(): + assert x.subs(reversed([[x, y]])) == y + it = iter([[x, y]]) + assert x.subs(it) == y + assert x.subs(Tuple((x, y))) == y + + +def test_subs_dict(): + a, b, c, d, e = symbols('a b c d e') + + assert (2*x + y + z).subs({"x": 1, "y": 2}) == 4 + z + + l = [(sin(x), 2), (x, 1)] + assert (sin(x)).subs(l) == \ + (sin(x)).subs(dict(l)) == 2 + assert sin(x).subs(reversed(l)) == sin(1) + + expr = sin(2*x) + sqrt(sin(2*x))*cos(2*x)*sin(exp(x)*x) + reps = {sin(2*x): c, + sqrt(sin(2*x)): a, + cos(2*x): b, + exp(x): e, + x: d,} + assert expr.subs(reps) == c + a*b*sin(d*e) + + l = [(x, 3), (y, x**2)] + assert (x + y).subs(l) == 3 + x**2 + assert (x + y).subs(reversed(l)) == 12 + + # If changes are made to convert lists into dictionaries and do + # a dictionary-lookup replacement, these tests will help to catch + # some logical errors that might occur + l = [(y, z + 2), (1 + z, 5), (z, 2)] + assert (y - 1 + 3*x).subs(l) == 5 + 3*x + l = [(y, z + 2), (z, 3)] + assert (y - 2).subs(l) == 3 + + +def test_no_arith_subs_on_floats(): + assert (x + 3).subs(x + 3, a) == a + assert (x + 3).subs(x + 2, a) == a + 1 + + assert (x + y + 3).subs(x + 3, a) == a + y + assert (x + y + 3).subs(x + 2, a) == a + y + 1 + + assert (x + 3.0).subs(x + 3.0, a) == a + assert (x + 3.0).subs(x + 2.0, a) == x + 3.0 + + assert (x + y + 3.0).subs(x + 3.0, a) == a + y + assert (x + y + 3.0).subs(x + 2.0, a) == x + y + 3.0 + + +def test_issue_5651(): + a, b, c, K = symbols('a b c K', commutative=True) + assert (a/(b*c)).subs(b*c, K) == a/K + assert (a/(b**2*c**3)).subs(b*c, K) == a/(c*K**2) + assert (1/(x*y)).subs(x*y, 2) == S.Half + assert ((1 + x*y)/(x*y)).subs(x*y, 1) == 2 + assert (x*y*z).subs(x*y, 2) == 2*z + assert ((1 + x*y)/(x*y)/z).subs(x*y, 1) == 2/z + + +def test_issue_6075(): + assert Tuple(1, True).subs(1, 2) == Tuple(2, True) + + +def test_issue_6079(): + # since x + 2.0 == x + 2 we can't do a simple equality test + assert _aresame((x + 2.0).subs(2, 3), x + 2.0) + assert _aresame((x + 2.0).subs(2.0, 3), x + 3) + assert not _aresame(x + 2, x + 2.0) + assert not _aresame(Basic(cos(x), S(1)), Basic(cos(x), S(1.))) + assert _aresame(cos, cos) + assert not _aresame(1, S.One) + assert not _aresame(x, symbols('x', positive=True)) + + +def test_issue_4680(): + N = Symbol('N') + assert N.subs({"N": 3}) == 3 + + +def test_issue_6158(): + assert (x - 1).subs(1, y) == x - y + assert (x - 1).subs(-1, y) == x + y + assert (x - oo).subs(oo, y) == x - y + assert (x - oo).subs(-oo, y) == x + y + + +def test_Function_subs(): + f, g, h, i = symbols('f g h i', cls=Function) + p = Piecewise((g(f(x, y)), x < -1), (g(x), x <= 1)) + assert p.subs(g, h) == Piecewise((h(f(x, y)), x < -1), (h(x), x <= 1)) + assert (f(y) + g(x)).subs({f: h, g: i}) == i(x) + h(y) + + +def test_simultaneous_subs(): + reps = {x: 0, y: 0} + assert (x/y).subs(reps) != (y/x).subs(reps) + assert (x/y).subs(reps, simultaneous=True) == \ + (y/x).subs(reps, simultaneous=True) + reps = reps.items() + assert (x/y).subs(reps) != (y/x).subs(reps) + assert (x/y).subs(reps, simultaneous=True) == \ + (y/x).subs(reps, simultaneous=True) + assert Derivative(x, y, z).subs(reps, simultaneous=True) == \ + Subs(Derivative(0, y, z), y, 0) + + +def test_issue_6419_6421(): + assert (1/(1 + x/y)).subs(x/y, x) == 1/(1 + x) + assert (-2*I).subs(2*I, x) == -x + assert (-I*x).subs(I*x, x) == -x + assert (-3*I*y**4).subs(3*I*y**2, x) == -x*y**2 + + +def test_issue_6559(): + assert (-12*x + y).subs(-x, 1) == 12 + y + # though this involves cse it generated a failure in Mul._eval_subs + x0, x1 = symbols('x0 x1') + e = -log(-12*sqrt(2) + 17)/24 - log(-2*sqrt(2) + 3)/12 + sqrt(2)/3 + # XXX modify cse so x1 is eliminated and x0 = -sqrt(2)? + assert cse(e) == ( + [(x0, sqrt(2))], [x0/3 - log(-12*x0 + 17)/24 - log(-2*x0 + 3)/12]) + + +def test_issue_5261(): + x = symbols('x', real=True) + e = I*x + assert exp(e).subs(exp(x), y) == y**I + assert (2**e).subs(2**x, y) == y**I + eq = (-2)**e + assert eq.subs((-2)**x, y) == eq + + +def test_issue_6923(): + assert (-2*x*sqrt(2)).subs(2*x, y) == -sqrt(2)*y + + +def test_2arg_hack(): + N = Symbol('N', commutative=False) + ans = Mul(2, y + 1, evaluate=False) + assert (2*x*(y + 1)).subs(x, 1, hack2=True) == ans + assert (2*(y + 1 + N)).subs(N, 0, hack2=True) == ans + + +@XFAIL +def test_mul2(): + """When this fails, remove things labelled "2-arg hack" + 1) remove special handling in the fallback of subs that + was added in the same commit as this test + 2) remove the special handling in Mul.flatten + """ + assert (2*(x + 1)).is_Mul + + +def test_noncommutative_subs(): + x,y = symbols('x,y', commutative=False) + assert (x*y*x).subs([(x, x*y), (y, x)], simultaneous=True) == (x*y*x**2*y) + + +def test_issue_2877(): + f = Float(2.0) + assert (x + f).subs({f: 2}) == x + 2 + + def r(a, b, c): + return factor(a*x**2 + b*x + c) + e = r(5.0/6, 10, 5) + assert nsimplify(e) == 5*x**2/6 + 10*x + 5 + + +def test_issue_5910(): + t = Symbol('t') + assert (1/(1 - t)).subs(t, 1) is zoo + n = t + d = t - 1 + assert (n/d).subs(t, 1) is zoo + assert (-n/-d).subs(t, 1) is zoo + + +def test_issue_5217(): + s = Symbol('s') + z = (1 - 2*x*x) + w = (1 + 2*x*x) + q = 2*x*x*2*y*y + sub = {2*x*x: s} + assert w.subs(sub) == 1 + s + assert z.subs(sub) == 1 - s + assert q == 4*x**2*y**2 + assert q.subs(sub) == 2*y**2*s + + +def test_issue_10829(): + assert (4**x).subs(2**x, y) == y**2 + assert (9**x).subs(3**x, y) == y**2 + + +def test_pow_eval_subs_no_cache(): + # Tests pull request 9376 is working + from sympy.core.cache import clear_cache + + s = 1/sqrt(x**2) + # This bug only appeared when the cache was turned off. + # We need to approximate running this test without the cache. + # This creates approximately the same situation. + clear_cache() + + # This used to fail with a wrong result. + # It incorrectly returned 1/sqrt(x**2) before this pull request. + result = s.subs(sqrt(x**2), y) + assert result == 1/y + + +def test_RootOf_issue_10092(): + x = Symbol('x', real=True) + eq = x**3 - 17*x**2 + 81*x - 118 + r = RootOf(eq, 0) + assert (x < r).subs(x, r) is S.false + + +def test_issue_8886(): + from sympy.physics.mechanics import ReferenceFrame as R + # if something can't be sympified we assume that it + # doesn't play well with SymPy and disallow the + # substitution + v = R('A').x + raises(SympifyError, lambda: x.subs(x, v)) + raises(SympifyError, lambda: v.subs(v, x)) + assert v.__eq__(x) is False + + +def test_issue_12657(): + # treat -oo like the atom that it is + reps = [(-oo, 1), (oo, 2)] + assert (x < -oo).subs(reps) == (x < 1) + assert (x < -oo).subs(list(reversed(reps))) == (x < 1) + reps = [(-oo, 2), (oo, 1)] + assert (x < oo).subs(reps) == (x < 1) + assert (x < oo).subs(list(reversed(reps))) == (x < 1) + + +def test_recurse_Application_args(): + F = Lambda((x, y), exp(2*x + 3*y)) + f = Function('f') + A = f(x, f(x, x)) + C = F(x, F(x, x)) + assert A.subs(f, F) == A.replace(f, F) == C + + +def test_Subs_subs(): + assert Subs(x*y, x, x).subs(x, y) == Subs(x*y, x, y) + assert Subs(x*y, x, x + 1).subs(x, y) == \ + Subs(x*y, x, y + 1) + assert Subs(x*y, y, x + 1).subs(x, y) == \ + Subs(y**2, y, y + 1) + a = Subs(x*y*z, (y, x, z), (x + 1, x + z, x)) + b = Subs(x*y*z, (y, x, z), (x + 1, y + z, y)) + assert a.subs(x, y) == b and \ + a.doit().subs(x, y) == a.subs(x, y).doit() + f = Function('f') + g = Function('g') + assert Subs(2*f(x, y) + g(x), f(x, y), 1).subs(y, 2) == Subs( + 2*f(x, y) + g(x), (f(x, y), y), (1, 2)) + + +def test_issue_13333(): + eq = 1/x + assert eq.subs({"x": '1/2'}) == 2 + assert eq.subs({"x": '(1/2)'}) == 2 + + +def test_issue_15234(): + x, y = symbols('x y', real=True) + p = 6*x**5 + x**4 - 4*x**3 + 4*x**2 - 2*x + 3 + p_subbed = 6*x**5 - 4*x**3 - 2*x + y**4 + 4*y**2 + 3 + assert p.subs([(x**i, y**i) for i in [2, 4]]) == p_subbed + x, y = symbols('x y', complex=True) + p = 6*x**5 + x**4 - 4*x**3 + 4*x**2 - 2*x + 3 + p_subbed = 6*x**5 - 4*x**3 - 2*x + y**4 + 4*y**2 + 3 + assert p.subs([(x**i, y**i) for i in [2, 4]]) == p_subbed + + +def test_issue_6976(): + x, y = symbols('x y') + assert (sqrt(x)**3 + sqrt(x) + x + x**2).subs(sqrt(x), y) == \ + y**4 + y**3 + y**2 + y + assert (x**4 + x**3 + x**2 + x + sqrt(x)).subs(x**2, y) == \ + sqrt(x) + x**3 + x + y**2 + y + assert x.subs(x**3, y) == x + assert x.subs(x**Rational(1, 3), y) == y**3 + + # More substitutions are possible with nonnegative symbols + x, y = symbols('x y', nonnegative=True) + assert (x**4 + x**3 + x**2 + x + sqrt(x)).subs(x**2, y) == \ + y**Rational(1, 4) + y**Rational(3, 2) + sqrt(y) + y**2 + y + assert x.subs(x**3, y) == y**Rational(1, 3) + + +def test_issue_11746(): + assert (1/x).subs(x**2, 1) == 1/x + assert (1/(x**3)).subs(x**2, 1) == x**(-3) + assert (1/(x**4)).subs(x**2, 1) == 1 + assert (1/(x**3)).subs(x**4, 1) == x**(-3) + assert (1/(y**5)).subs(x**5, 1) == y**(-5) + + +def test_issue_17823(): + from sympy.physics.mechanics import dynamicsymbols + q1, q2 = dynamicsymbols('q1, q2') + expr = q1.diff().diff()**2*q1 + q1.diff()*q2.diff() + reps={q1: a, q1.diff(): a*x*y, q1.diff().diff(): z} + assert expr.subs(reps) == a*x*y*Derivative(q2, t) + a*z**2 + + +def test_issue_19326(): + x, y = [i(t) for i in map(Function, 'xy')] + assert (x*y).subs({x: 1 + x, y: x}) == (1 + x)*x + + +def test_issue_19558(): + e = (7*x*cos(x) - 12*log(x)**3)*(-log(x)**4 + 2*sin(x) + 1)**2/ \ + (2*(x*cos(x) - 2*log(x)**3)*(3*log(x)**4 - 7*sin(x) + 3)**2) + + assert e.subs(x, oo) == AccumBounds(-oo, oo) + assert (sin(x) + cos(x)).subs(x, oo) == AccumBounds(-2, 2) + + +def test_issue_22033(): + xr = Symbol('xr', real=True) + e = (1/xr) + assert e.subs(xr**2, y) == e + + +def test_guard_against_indeterminate_evaluation(): + eq = x**y + assert eq.subs([(x, 1), (y, oo)]) == 1 # because 1**y == 1 + assert eq.subs([(y, oo), (x, 1)]) is S.NaN + assert eq.subs({x: 1, y: oo}) is S.NaN + assert eq.subs([(x, 1), (y, oo)], simultaneous=True) is S.NaN diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_symbol.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_symbol.py new file mode 100644 index 0000000000000000000000000000000000000000..acf27700825c4822456207afe95108480505ce2c --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_symbol.py @@ -0,0 +1,421 @@ +import threading + +from sympy.core.function import Function, UndefinedFunction +from sympy.core.numbers import (I, Rational, pi) +from sympy.core.relational import (GreaterThan, LessThan, StrictGreaterThan, StrictLessThan) +from sympy.core.symbol import (Dummy, Symbol, Wild, symbols) +from sympy.core.sympify import sympify # can't import as S yet +from sympy.core.symbol import uniquely_named_symbol, _symbol, Str + +from sympy.testing.pytest import raises, skip_under_pyodide +from sympy.core.symbol import disambiguate + + +def test_Str(): + a1 = Str('a') + a2 = Str('a') + b = Str('b') + assert a1 == a2 != b + raises(TypeError, lambda: Str()) + + +def test_Symbol(): + a = Symbol("a") + x1 = Symbol("x") + x2 = Symbol("x") + xdummy1 = Dummy("x") + xdummy2 = Dummy("x") + + assert a != x1 + assert a != x2 + assert x1 == x2 + assert x1 != xdummy1 + assert xdummy1 != xdummy2 + + assert Symbol("x") == Symbol("x") + assert Dummy("x") != Dummy("x") + d = symbols('d', cls=Dummy) + assert isinstance(d, Dummy) + c, d = symbols('c,d', cls=Dummy) + assert isinstance(c, Dummy) + assert isinstance(d, Dummy) + raises(TypeError, lambda: Symbol()) + + +def test_Dummy(): + assert Dummy() != Dummy() + + +def test_Dummy_force_dummy_index(): + raises(AssertionError, lambda: Dummy(dummy_index=1)) + assert Dummy('d', dummy_index=2) == Dummy('d', dummy_index=2) + assert Dummy('d1', dummy_index=2) != Dummy('d2', dummy_index=2) + d1 = Dummy('d', dummy_index=3) + d2 = Dummy('d') + # might fail if d1 were created with dummy_index >= 10**6 + assert d1 != d2 + d3 = Dummy('d', dummy_index=3) + assert d1 == d3 + assert Dummy()._count == Dummy('d', dummy_index=3)._count + + +def test_lt_gt(): + S = sympify + x, y = Symbol('x'), Symbol('y') + + assert (x >= y) == GreaterThan(x, y) + assert (x >= 0) == GreaterThan(x, 0) + assert (x <= y) == LessThan(x, y) + assert (x <= 0) == LessThan(x, 0) + + assert (0 <= x) == GreaterThan(x, 0) + assert (0 >= x) == LessThan(x, 0) + assert (S(0) >= x) == GreaterThan(0, x) + assert (S(0) <= x) == LessThan(0, x) + + assert (x > y) == StrictGreaterThan(x, y) + assert (x > 0) == StrictGreaterThan(x, 0) + assert (x < y) == StrictLessThan(x, y) + assert (x < 0) == StrictLessThan(x, 0) + + assert (0 < x) == StrictGreaterThan(x, 0) + assert (0 > x) == StrictLessThan(x, 0) + assert (S(0) > x) == StrictGreaterThan(0, x) + assert (S(0) < x) == StrictLessThan(0, x) + + e = x**2 + 4*x + 1 + assert (e >= 0) == GreaterThan(e, 0) + assert (0 <= e) == GreaterThan(e, 0) + assert (e > 0) == StrictGreaterThan(e, 0) + assert (0 < e) == StrictGreaterThan(e, 0) + + assert (e <= 0) == LessThan(e, 0) + assert (0 >= e) == LessThan(e, 0) + assert (e < 0) == StrictLessThan(e, 0) + assert (0 > e) == StrictLessThan(e, 0) + + assert (S(0) >= e) == GreaterThan(0, e) + assert (S(0) <= e) == LessThan(0, e) + assert (S(0) < e) == StrictLessThan(0, e) + assert (S(0) > e) == StrictGreaterThan(0, e) + + +def test_no_len(): + # there should be no len for numbers + x = Symbol('x') + raises(TypeError, lambda: len(x)) + + +def test_ineq_unequal(): + S = sympify + x, y, z = symbols('x,y,z') + + e = ( + S(-1) >= x, S(-1) >= y, S(-1) >= z, + S(-1) > x, S(-1) > y, S(-1) > z, + S(-1) <= x, S(-1) <= y, S(-1) <= z, + S(-1) < x, S(-1) < y, S(-1) < z, + S(0) >= x, S(0) >= y, S(0) >= z, + S(0) > x, S(0) > y, S(0) > z, + S(0) <= x, S(0) <= y, S(0) <= z, + S(0) < x, S(0) < y, S(0) < z, + S('3/7') >= x, S('3/7') >= y, S('3/7') >= z, + S('3/7') > x, S('3/7') > y, S('3/7') > z, + S('3/7') <= x, S('3/7') <= y, S('3/7') <= z, + S('3/7') < x, S('3/7') < y, S('3/7') < z, + S(1.5) >= x, S(1.5) >= y, S(1.5) >= z, + S(1.5) > x, S(1.5) > y, S(1.5) > z, + S(1.5) <= x, S(1.5) <= y, S(1.5) <= z, + S(1.5) < x, S(1.5) < y, S(1.5) < z, + S(2) >= x, S(2) >= y, S(2) >= z, + S(2) > x, S(2) > y, S(2) > z, + S(2) <= x, S(2) <= y, S(2) <= z, + S(2) < x, S(2) < y, S(2) < z, + x >= -1, y >= -1, z >= -1, + x > -1, y > -1, z > -1, + x <= -1, y <= -1, z <= -1, + x < -1, y < -1, z < -1, + x >= 0, y >= 0, z >= 0, + x > 0, y > 0, z > 0, + x <= 0, y <= 0, z <= 0, + x < 0, y < 0, z < 0, + x >= 1.5, y >= 1.5, z >= 1.5, + x > 1.5, y > 1.5, z > 1.5, + x <= 1.5, y <= 1.5, z <= 1.5, + x < 1.5, y < 1.5, z < 1.5, + x >= 2, y >= 2, z >= 2, + x > 2, y > 2, z > 2, + x <= 2, y <= 2, z <= 2, + x < 2, y < 2, z < 2, + + x >= y, x >= z, y >= x, y >= z, z >= x, z >= y, + x > y, x > z, y > x, y > z, z > x, z > y, + x <= y, x <= z, y <= x, y <= z, z <= x, z <= y, + x < y, x < z, y < x, y < z, z < x, z < y, + + x - pi >= y + z, y - pi >= x + z, z - pi >= x + y, + x - pi > y + z, y - pi > x + z, z - pi > x + y, + x - pi <= y + z, y - pi <= x + z, z - pi <= x + y, + x - pi < y + z, y - pi < x + z, z - pi < x + y, + True, False + ) + + left_e = e[:-1] + for i, e1 in enumerate( left_e ): + for e2 in e[i + 1:]: + assert e1 != e2 + + +def test_Wild_properties(): + S = sympify + # these tests only include Atoms + x = Symbol("x") + y = Symbol("y") + p = Symbol("p", positive=True) + k = Symbol("k", integer=True) + n = Symbol("n", integer=True, positive=True) + + given_patterns = [ x, y, p, k, -k, n, -n, S(-3), S(3), + pi, Rational(3, 2), I ] + + integerp = lambda k: k.is_integer + positivep = lambda k: k.is_positive + symbolp = lambda k: k.is_Symbol + realp = lambda k: k.is_extended_real + + S = Wild("S", properties=[symbolp]) + R = Wild("R", properties=[realp]) + Y = Wild("Y", exclude=[x, p, k, n]) + P = Wild("P", properties=[positivep]) + K = Wild("K", properties=[integerp]) + N = Wild("N", properties=[positivep, integerp]) + + given_wildcards = [ S, R, Y, P, K, N ] + + goodmatch = { + S: (x, y, p, k, n), + R: (p, k, -k, n, -n, -3, 3, pi, Rational(3, 2)), + Y: (y, -3, 3, pi, Rational(3, 2), I ), + P: (p, n, 3, pi, Rational(3, 2)), + K: (k, -k, n, -n, -3, 3), + N: (n, 3)} + + for A in given_wildcards: + for pat in given_patterns: + d = pat.match(A) + if pat in goodmatch[A]: + assert d[A] in goodmatch[A] + else: + assert d is None + + +def test_symbols(): + x = Symbol('x') + y = Symbol('y') + z = Symbol('z') + + assert symbols('x') == x + assert symbols('x ') == x + assert symbols(' x ') == x + assert symbols('x,') == (x,) + assert symbols('x, ') == (x,) + assert symbols('x ,') == (x,) + + assert symbols('x , y') == (x, y) + + assert symbols('x,y,z') == (x, y, z) + assert symbols('x y z') == (x, y, z) + + assert symbols('x,y,z,') == (x, y, z) + assert symbols('x y z ') == (x, y, z) + + xyz = Symbol('xyz') + abc = Symbol('abc') + + assert symbols('xyz') == xyz + assert symbols('xyz,') == (xyz,) + assert symbols('xyz,abc') == (xyz, abc) + + assert symbols(('xyz',)) == (xyz,) + assert symbols(('xyz,',)) == ((xyz,),) + assert symbols(('x,y,z,',)) == ((x, y, z),) + assert symbols(('xyz', 'abc')) == (xyz, abc) + assert symbols(('xyz,abc',)) == ((xyz, abc),) + assert symbols(('xyz,abc', 'x,y,z')) == ((xyz, abc), (x, y, z)) + + assert symbols(('x', 'y', 'z')) == (x, y, z) + assert symbols(['x', 'y', 'z']) == [x, y, z] + assert symbols({'x', 'y', 'z'}) == {x, y, z} + + raises(ValueError, lambda: symbols('')) + raises(ValueError, lambda: symbols(',')) + raises(ValueError, lambda: symbols('x,,y,,z')) + raises(ValueError, lambda: symbols(('x', '', 'y', '', 'z'))) + + a, b = symbols('x,y', real=True) + assert a.is_real and b.is_real + + x0 = Symbol('x0') + x1 = Symbol('x1') + x2 = Symbol('x2') + + y0 = Symbol('y0') + y1 = Symbol('y1') + + assert symbols('x0:0') == () + assert symbols('x0:1') == (x0,) + assert symbols('x0:2') == (x0, x1) + assert symbols('x0:3') == (x0, x1, x2) + + assert symbols('x:0') == () + assert symbols('x:1') == (x0,) + assert symbols('x:2') == (x0, x1) + assert symbols('x:3') == (x0, x1, x2) + + assert symbols('x1:1') == () + assert symbols('x1:2') == (x1,) + assert symbols('x1:3') == (x1, x2) + + assert symbols('x1:3,x,y,z') == (x1, x2, x, y, z) + + assert symbols('x:3,y:2') == (x0, x1, x2, y0, y1) + assert symbols(('x:3', 'y:2')) == ((x0, x1, x2), (y0, y1)) + + a = Symbol('a') + b = Symbol('b') + c = Symbol('c') + d = Symbol('d') + + assert symbols('x:z') == (x, y, z) + assert symbols('a:d,x:z') == (a, b, c, d, x, y, z) + assert symbols(('a:d', 'x:z')) == ((a, b, c, d), (x, y, z)) + + aa = Symbol('aa') + ab = Symbol('ab') + ac = Symbol('ac') + ad = Symbol('ad') + + assert symbols('aa:d') == (aa, ab, ac, ad) + assert symbols('aa:d,x:z') == (aa, ab, ac, ad, x, y, z) + assert symbols(('aa:d','x:z')) == ((aa, ab, ac, ad), (x, y, z)) + + assert type(symbols(('q:2', 'u:2'), cls=Function)[0][0]) == UndefinedFunction # issue 23532 + + # issue 6675 + def sym(s): + return str(symbols(s)) + assert sym('a0:4') == '(a0, a1, a2, a3)' + assert sym('a2:4,b1:3') == '(a2, a3, b1, b2)' + assert sym('a1(2:4)') == '(a12, a13)' + assert sym('a0:2.0:2') == '(a0.0, a0.1, a1.0, a1.1)' + assert sym('aa:cz') == '(aaz, abz, acz)' + assert sym('aa:c0:2') == '(aa0, aa1, ab0, ab1, ac0, ac1)' + assert sym('aa:ba:b') == '(aaa, aab, aba, abb)' + assert sym('a:3b') == '(a0b, a1b, a2b)' + assert sym('a-1:3b') == '(a-1b, a-2b)' + assert sym(r'a:2\,:2' + chr(0)) == '(a0,0%s, a0,1%s, a1,0%s, a1,1%s)' % ( + (chr(0),)*4) + assert sym('x(:a:3)') == '(x(a0), x(a1), x(a2))' + assert sym('x(:c):1') == '(xa0, xb0, xc0)' + assert sym('x((:a)):3') == '(x(a)0, x(a)1, x(a)2)' + assert sym('x(:a:3') == '(x(a0, x(a1, x(a2)' + assert sym(':2') == '(0, 1)' + assert sym(':b') == '(a, b)' + assert sym(':b:2') == '(a0, a1, b0, b1)' + assert sym(':2:2') == '(00, 01, 10, 11)' + assert sym(':b:b') == '(aa, ab, ba, bb)' + + raises(ValueError, lambda: symbols(':')) + raises(ValueError, lambda: symbols('a:')) + raises(ValueError, lambda: symbols('::')) + raises(ValueError, lambda: symbols('a::')) + raises(ValueError, lambda: symbols(':a:')) + raises(ValueError, lambda: symbols('::a')) + + +def test_symbols_become_functions_issue_3539(): + from sympy.abc import alpha, phi, beta, t + raises(TypeError, lambda: beta(2)) + raises(TypeError, lambda: beta(2.5)) + raises(TypeError, lambda: phi(2.5)) + raises(TypeError, lambda: alpha(2.5)) + raises(TypeError, lambda: phi(t)) + + +def test_unicode(): + xu = Symbol('x') + x = Symbol('x') + assert x == xu + + raises(TypeError, lambda: Symbol(1)) + + +def test_uniquely_named_symbol_and_Symbol(): + F = uniquely_named_symbol + x = Symbol('x') + assert F(x) == x + assert F('x') == x + assert str(F('x', x)) == 'x0' + assert str(F('x', (x + 1, 1/x))) == 'x0' + _x = Symbol('x', real=True) + assert F(('x', _x)) == _x + assert F((x, _x)) == _x + assert F('x', real=True).is_real + y = Symbol('y') + assert F(('x', y), real=True).is_real + r = Symbol('x', real=True) + assert F(('x', r)).is_real + assert F(('x', r), real=False).is_real + assert F('x1', Symbol('x1'), + compare=lambda i: str(i).rstrip('1')).name == 'x0' + assert F('x1', Symbol('x1'), + modify=lambda i: i + '_').name == 'x1_' + assert _symbol(x, _x) == x + + +def test_disambiguate(): + x, y, y_1, _x, x_1, x_2 = symbols('x y y_1 _x x_1 x_2') + t1 = Dummy('y'), _x, Dummy('x'), Dummy('x') + t2 = Dummy('x'), Dummy('x') + t3 = Dummy('x'), Dummy('y') + t4 = x, Dummy('x') + t5 = Symbol('x', integer=True), x, Symbol('x_1') + + assert disambiguate(*t1) == (y, x_2, x, x_1) + assert disambiguate(*t2) == (x, x_1) + assert disambiguate(*t3) == (x, y) + assert disambiguate(*t4) == (x_1, x) + assert disambiguate(*t5) == (t5[0], x_2, x_1) + assert disambiguate(*t5)[0] != x # assumptions are retained + + t6 = _x, Dummy('x')/y + t7 = y*Dummy('y'), y + + assert disambiguate(*t6) == (x_1, x/y) + assert disambiguate(*t7) == (y*y_1, y_1) + assert disambiguate(Dummy('x_1'), Dummy('x_1') + ) == (x_1, Symbol('x_1_1')) + + +@skip_under_pyodide("Cannot create threads under pyodide.") +def test_issue_gh_16734(): + # https://github.com/sympy/sympy/issues/16734 + + syms = list(symbols('x, y')) + + def thread1(): + for n in range(1000): + syms[0], syms[1] = symbols(f'x{n}, y{n}') + syms[0].is_positive # Check an assumption in this thread. + syms[0] = None + + def thread2(): + while syms[0] is not None: + # Compare the symbol in this thread. + result = (syms[0] == syms[1]) # noqa + + # Previously this would be very likely to raise an exception: + thread = threading.Thread(target=thread1) + thread.start() + thread2() + thread.join() diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_sympify.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_sympify.py new file mode 100644 index 0000000000000000000000000000000000000000..40be30c25d5826ceadde6d176c160a0090967659 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_sympify.py @@ -0,0 +1,892 @@ +from sympy.core.add import Add +from sympy.core.containers import Tuple +from sympy.core.function import (Function, Lambda) +from sympy.core.mul import Mul +from sympy.core.numbers import (Float, I, Integer, Rational, pi, oo) +from sympy.core.power import Pow +from sympy.core.singleton import S +from sympy.core.symbol import Symbol +from sympy.functions.elementary.complexes import Abs +from sympy.functions.elementary.exponential import exp +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.trigonometric import (cos, sin) +from sympy.logic.boolalg import (false, Or, true, Xor) +from sympy.matrices.dense import Matrix +from sympy.parsing.sympy_parser import null +from sympy.polys.polytools import Poly +from sympy.printing.repr import srepr +from sympy.sets.fancysets import Range +from sympy.sets.sets import Interval +from sympy.abc import x, y +from sympy.core.sympify import (sympify, _sympify, SympifyError, kernS, + CantSympify, converter) +from sympy.core.decorators import _sympifyit +from sympy.external import import_module +from sympy.testing.pytest import raises, XFAIL, skip +from sympy.utilities.decorator import conserve_mpmath_dps +from sympy.geometry import Point, Line +from sympy.functions.combinatorial.factorials import factorial, factorial2 +from sympy.abc import _clash, _clash1, _clash2 +from sympy.external.gmpy import gmpy as _gmpy, flint as _flint +from sympy.sets import FiniteSet, EmptySet +from sympy.tensor.array.dense_ndim_array import ImmutableDenseNDimArray + +import mpmath +from collections import defaultdict, OrderedDict + + +numpy = import_module('numpy') + + +def test_issue_3538(): + v = sympify("exp(x)") + assert v == exp(x) + assert type(v) == type(exp(x)) + assert str(type(v)) == str(type(exp(x))) + + +def test_sympify1(): + assert sympify("x") == Symbol("x") + assert sympify(" x") == Symbol("x") + assert sympify(" x ") == Symbol("x") + # issue 4877 + assert sympify('--.5') == 0.5 + assert sympify('-1/2') == -S.Half + assert sympify('-+--.5') == -0.5 + assert sympify('-.[3]') == Rational(-1, 3) + assert sympify('.[3]') == Rational(1, 3) + assert sympify('+.[3]') == Rational(1, 3) + assert sympify('+0.[3]*10**-2') == Rational(1, 300) + assert sympify('.[052631578947368421]') == Rational(1, 19) + assert sympify('.0[526315789473684210]') == Rational(1, 19) + assert sympify('.034[56]') == Rational(1711, 49500) + # options to make reals into rationals + assert sympify('1.22[345]', rational=True) == \ + 1 + Rational(22, 100) + Rational(345, 99900) + assert sympify('2/2.6', rational=True) == Rational(10, 13) + assert sympify('2.6/2', rational=True) == Rational(13, 10) + assert sympify('2.6e2/17', rational=True) == Rational(260, 17) + assert sympify('2.6e+2/17', rational=True) == Rational(260, 17) + assert sympify('2.6e-2/17', rational=True) == Rational(26, 17000) + assert sympify('2.1+3/4', rational=True) == \ + Rational(21, 10) + Rational(3, 4) + assert sympify('2.234456', rational=True) == Rational(279307, 125000) + assert sympify('2.234456e23', rational=True) == 223445600000000000000000 + assert sympify('2.234456e-23', rational=True) == \ + Rational(279307, 12500000000000000000000000000) + assert sympify('-2.234456e-23', rational=True) == \ + Rational(-279307, 12500000000000000000000000000) + assert sympify('12345678901/17', rational=True) == \ + Rational(12345678901, 17) + assert sympify('1/.3 + x', rational=True) == Rational(10, 3) + x + # make sure longs in fractions work + assert sympify('222222222222/11111111111') == \ + Rational(222222222222, 11111111111) + # ... even if they come from repetend notation + assert sympify('1/.2[123456789012]') == Rational(333333333333, 70781892967) + # ... or from high precision reals + assert sympify('.1234567890123456', rational=True) == \ + Rational(19290123283179, 156250000000000) + + +def test_sympify_Fraction(): + try: + import fractions + except ImportError: + pass + else: + value = sympify(fractions.Fraction(101, 127)) + assert value == Rational(101, 127) and type(value) is Rational + + +def test_sympify_gmpy(): + if _gmpy is not None: + import gmpy2 + + value = sympify(gmpy2.mpz(1000001)) + assert value == Integer(1000001) and type(value) is Integer + + value = sympify(gmpy2.mpq(101, 127)) + assert value == Rational(101, 127) and type(value) is Rational + + +def test_sympify_flint(): + if _flint is not None: + import flint + + value = sympify(flint.fmpz(1000001)) + assert value == Integer(1000001) and type(value) is Integer + + value = sympify(flint.fmpq(101, 127)) + assert value == Rational(101, 127) and type(value) is Rational + + +@conserve_mpmath_dps +def test_sympify_mpmath(): + value = sympify(mpmath.mpf(1.0)) + assert value == Float(1.0) and type(value) is Float + + mpmath.mp.dps = 12 + assert sympify( + mpmath.pi).epsilon_eq(Float("3.14159265359"), Float("1e-12")) == True + assert sympify( + mpmath.pi).epsilon_eq(Float("3.14159265359"), Float("1e-13")) == False + + mpmath.mp.dps = 6 + assert sympify( + mpmath.pi).epsilon_eq(Float("3.14159"), Float("1e-5")) == True + assert sympify( + mpmath.pi).epsilon_eq(Float("3.14159"), Float("1e-6")) == False + + mpmath.mp.dps = 15 + assert sympify(mpmath.mpc(1.0 + 2.0j)) == Float(1.0) + Float(2.0)*I + + +def test_sympify2(): + class A: + def _sympy_(self): + return Symbol("x")**3 + + a = A() + + assert _sympify(a) == x**3 + assert sympify(a) == x**3 + assert a == x**3 + + +def test_sympify3(): + assert sympify("x**3") == x**3 + assert sympify("x^3") == x**3 + assert sympify("1/2") == Integer(1)/2 + + raises(SympifyError, lambda: _sympify('x**3')) + raises(SympifyError, lambda: _sympify('1/2')) + + +def test_sympify_keywords(): + raises(SympifyError, lambda: sympify('if')) + raises(SympifyError, lambda: sympify('for')) + raises(SympifyError, lambda: sympify('while')) + raises(SympifyError, lambda: sympify('lambda')) + + +def test_sympify_float(): + assert sympify("1e-64") != 0 + assert sympify("1e-20000") != 0 + + +def test_sympify_bool(): + assert sympify(True) is true + assert sympify(False) is false + + +def test_sympify_iterables(): + ans = [Rational(3, 10), Rational(1, 5)] + assert sympify(['.3', '.2'], rational=True) == ans + assert sympify({"x": 0, "y": 1}) == {x: 0, y: 1} + assert sympify(['1', '2', ['3', '4']]) == [S(1), S(2), [S(3), S(4)]] + + +@XFAIL +def test_issue_16772(): + # because there is a converter for tuple, the + # args are only sympified without the flags being passed + # along; list, on the other hand, is not converted + # with a converter so its args are traversed later + ans = [Rational(3, 10), Rational(1, 5)] + assert sympify(('.3', '.2'), rational=True) == Tuple(*ans) + + +def test_issue_16859(): + class no(float, CantSympify): + pass + raises(SympifyError, lambda: sympify(no(1.2))) + + +def test_sympify4(): + class A: + def _sympy_(self): + return Symbol("x") + + a = A() + + assert _sympify(a)**3 == x**3 + assert sympify(a)**3 == x**3 + assert a == x + + +def test_sympify_text(): + assert sympify('some') == Symbol('some') + assert sympify('core') == Symbol('core') + + assert sympify('True') is True + assert sympify('False') is False + + assert sympify('Poly') == Poly + assert sympify('sin') == sin + + +def test_sympify_function(): + assert sympify('factor(x**2-1, x)') == -(1 - x)*(x + 1) + assert sympify('sin(pi/2)*cos(pi)') == -Integer(1) + + +def test_sympify_poly(): + p = Poly(x**2 + x + 1, x) + + assert _sympify(p) is p + assert sympify(p) is p + + +def test_sympify_factorial(): + assert sympify('x!') == factorial(x) + assert sympify('(x+1)!') == factorial(x + 1) + assert sympify('(1 + y*(x + 1))!') == factorial(1 + y*(x + 1)) + assert sympify('(1 + y*(x + 1)!)^2') == (1 + y*factorial(x + 1))**2 + assert sympify('y*x!') == y*factorial(x) + assert sympify('x!!') == factorial2(x) + assert sympify('(x+1)!!') == factorial2(x + 1) + assert sympify('(1 + y*(x + 1))!!') == factorial2(1 + y*(x + 1)) + assert sympify('(1 + y*(x + 1)!!)^2') == (1 + y*factorial2(x + 1))**2 + assert sympify('y*x!!') == y*factorial2(x) + assert sympify('factorial2(x)!') == factorial(factorial2(x)) + + raises(SympifyError, lambda: sympify("+!!")) + raises(SympifyError, lambda: sympify(")!!")) + raises(SympifyError, lambda: sympify("!")) + raises(SympifyError, lambda: sympify("(!)")) + raises(SympifyError, lambda: sympify("x!!!")) + + +def test_issue_3595(): + assert sympify("a_") == Symbol("a_") + assert sympify("_a") == Symbol("_a") + + +def test_lambda(): + x = Symbol('x') + assert sympify('lambda: 1') == Lambda((), 1) + assert sympify('lambda x: x') == Lambda(x, x) + assert sympify('lambda x: 2*x') == Lambda(x, 2*x) + assert sympify('lambda x, y: 2*x+y') == Lambda((x, y), 2*x + y) + + +def test_lambda_raises(): + raises(SympifyError, lambda: sympify("lambda *args: args")) # args argument error + raises(SympifyError, lambda: sympify("lambda **kwargs: kwargs[0]")) # kwargs argument error + raises(SympifyError, lambda: sympify("lambda x = 1: x")) # Keyword argument error + with raises(SympifyError): + _sympify('lambda: 1') + + +def test_sympify_raises(): + raises(SympifyError, lambda: sympify("fx)")) + + class A: + def __str__(self): + return 'x' + + raises(SympifyError, lambda: sympify(A())) + + +def test__sympify(): + x = Symbol('x') + f = Function('f') + + # positive _sympify + assert _sympify(x) is x + assert _sympify(1) == Integer(1) + assert _sympify(0.5) == Float("0.5") + assert _sympify(1 + 1j) == 1.0 + I*1.0 + + # Function f is not Basic and can't sympify to Basic. We allow it to pass + # with sympify but not with _sympify. + # https://github.com/sympy/sympy/issues/20124 + assert sympify(f) is f + raises(SympifyError, lambda: _sympify(f)) + + class A: + def _sympy_(self): + return Integer(5) + + a = A() + assert _sympify(a) == Integer(5) + + # negative _sympify + raises(SympifyError, lambda: _sympify('1')) + raises(SympifyError, lambda: _sympify([1, 2, 3])) + + +def test_sympifyit(): + x = Symbol('x') + y = Symbol('y') + + @_sympifyit('b', NotImplemented) + def add(a, b): + return a + b + + assert add(x, 1) == x + 1 + assert add(x, 0.5) == x + Float('0.5') + assert add(x, y) == x + y + + assert add(x, '1') == NotImplemented + + @_sympifyit('b') + def add_raises(a, b): + return a + b + + assert add_raises(x, 1) == x + 1 + assert add_raises(x, 0.5) == x + Float('0.5') + assert add_raises(x, y) == x + y + + raises(SympifyError, lambda: add_raises(x, '1')) + + +def test_int_float(): + class F1_1: + def __float__(self): + return 1.1 + + class F1_1b: + """ + This class is still a float, even though it also implements __int__(). + """ + def __float__(self): + return 1.1 + + def __int__(self): + return 1 + + class F1_1c: + """ + This class is still a float, because it implements _sympy_() + """ + def __float__(self): + return 1.1 + + def __int__(self): + return 1 + + def _sympy_(self): + return Float(1.1) + + class I5: + def __int__(self): + return 5 + + class I5b: + """ + This class implements both __int__() and __float__(), so it will be + treated as Float in SymPy. One could change this behavior, by using + float(a) == int(a), but deciding that integer-valued floats represent + exact numbers is arbitrary and often not correct, so we do not do it. + If, in the future, we decide to do it anyway, the tests for I5b need to + be changed. + """ + def __float__(self): + return 5.0 + + def __int__(self): + return 5 + + class I5c: + """ + This class implements both __int__() and __float__(), but also + a _sympy_() method, so it will be Integer. + """ + def __float__(self): + return 5.0 + + def __int__(self): + return 5 + + def _sympy_(self): + return Integer(5) + + i5 = I5() + i5b = I5b() + i5c = I5c() + f1_1 = F1_1() + f1_1b = F1_1b() + f1_1c = F1_1c() + assert sympify(i5) == 5 + assert isinstance(sympify(i5), Integer) + assert sympify(i5b) == 5.0 + assert isinstance(sympify(i5b), Float) + assert sympify(i5c) == 5 + assert isinstance(sympify(i5c), Integer) + assert abs(sympify(f1_1) - 1.1) < 1e-5 + assert abs(sympify(f1_1b) - 1.1) < 1e-5 + assert abs(sympify(f1_1c) - 1.1) < 1e-5 + + assert _sympify(i5) == 5 + assert isinstance(_sympify(i5), Integer) + assert _sympify(i5b) == 5.0 + assert isinstance(_sympify(i5b), Float) + assert _sympify(i5c) == 5 + assert isinstance(_sympify(i5c), Integer) + assert abs(_sympify(f1_1) - 1.1) < 1e-5 + assert abs(_sympify(f1_1b) - 1.1) < 1e-5 + assert abs(_sympify(f1_1c) - 1.1) < 1e-5 + + +def test_evaluate_false(): + cases = { + '2 + 3': Add(2, 3, evaluate=False), + '2**2 / 3': Mul(Pow(2, 2, evaluate=False), Pow(3, -1, evaluate=False), evaluate=False), + '2 + 3 * 5': Add(2, Mul(3, 5, evaluate=False), evaluate=False), + '2 - 3 * 5': Add(2, Mul(-1, Mul(3, 5,evaluate=False), evaluate=False), evaluate=False), + '1 / 3': Mul(1, Pow(3, -1, evaluate=False), evaluate=False), + 'True | False': Or(True, False, evaluate=False), + '1 + 2 + 3 + 5*3 + integrate(x)': Add(1, 2, 3, Mul(5, 3, evaluate=False), x**2/2, evaluate=False), + '2 * 4 * 6 + 8': Add(Mul(2, 4, 6, evaluate=False), 8, evaluate=False), + '2 - 8 / 4': Add(2, Mul(-1, Mul(8, Pow(4, -1, evaluate=False), evaluate=False), evaluate=False), evaluate=False), + '2 - 2**2': Add(2, Mul(-1, Pow(2, 2, evaluate=False), evaluate=False), evaluate=False), + } + for case, result in cases.items(): + assert sympify(case, evaluate=False) == result + + +def test_issue_4133(): + a = sympify('Integer(4)') + + assert a == Integer(4) + assert a.is_Integer + + +def test_issue_3982(): + a = [3, 2.0] + assert sympify(a) == [Integer(3), Float(2.0)] + assert sympify(tuple(a)) == Tuple(Integer(3), Float(2.0)) + assert sympify(set(a)) == FiniteSet(Integer(3), Float(2.0)) + + +def test_S_sympify(): + assert S(1)/2 == sympify(1)/2 == S.Half + assert (-2)**(S(1)/2) == sqrt(2)*I + + +def test_issue_4788(): + assert srepr(S(1.0 + 0J)) == srepr(S(1.0)) == srepr(Float(1.0)) + + +def test_issue_4798_None(): + assert S(None) is None + + +def test_issue_3218(): + assert sympify("x+\ny") == x + y + +def test_issue_19399(): + if not numpy: + skip("numpy not installed.") + + a = numpy.array(Rational(1, 2)) + b = Rational(1, 3) + assert (a * b, type(a * b)) == (b * a, type(b * a)) + + +def test_issue_4988_builtins(): + C = Symbol('C') + vars = {'C': C} + exp1 = sympify('C') + assert exp1 == C # Make sure it did not get mixed up with sympy.C + + exp2 = sympify('C', vars) + assert exp2 == C # Make sure it did not get mixed up with sympy.C + + +def test_geometry(): + p = sympify(Point(0, 1)) + assert p == Point(0, 1) and isinstance(p, Point) + L = sympify(Line(p, (1, 0))) + assert L == Line((0, 1), (1, 0)) and isinstance(L, Line) + + +def test_kernS(): + s = '-1 - 2*(-(-x + 1/x)/(x*(x - 1/x)**2) - 1/(x*(x - 1/x)))' + # when 1497 is fixed, this no longer should pass: the expression + # should be unchanged + assert -1 - 2*(-(-x + 1/x)/(x*(x - 1/x)**2) - 1/(x*(x - 1/x))) == -1 + # sympification should not allow the constant to enter a Mul + # or else the structure can change dramatically + ss = kernS(s) + assert ss != -1 and ss.simplify() == -1 + s = '-1 - 2*(-(-x + 1/x)/(x*(x - 1/x)**2) - 1/(x*(x - 1/x)))'.replace( + 'x', '_kern') + ss = kernS(s) + assert ss != -1 and ss.simplify() == -1 + # issue 6687 + assert (kernS('Interval(-1,-2 - 4*(-3))') + == Interval(-1, Add(-2, Mul(12, 1, evaluate=False), evaluate=False))) + assert kernS('_kern') == Symbol('_kern') + assert kernS('E**-(x)') == exp(-x) + e = 2*(x + y)*y + assert kernS(['2*(x + y)*y', ('2*(x + y)*y',)]) == [e, (e,)] + assert kernS('-(2*sin(x)**2 + 2*sin(x)*cos(x))*y/2') == \ + -y*(2*sin(x)**2 + 2*sin(x)*cos(x))/2 + # issue 15132 + assert kernS('(1 - x)/(1 - x*(1-y))') == kernS('(1-x)/(1-(1-y)*x)') + assert kernS('(1-2**-(4+1)*(1-y)*x)') == (1 - x*(1 - y)/32) + assert kernS('(1-2**(4+1)*(1-y)*x)') == (1 - 32*x*(1 - y)) + assert kernS('(1-2.*(1-y)*x)') == 1 - 2.*x*(1 - y) + one = kernS('x - (x - 1)') + assert one != 1 and one.expand() == 1 + assert kernS("(2*x)/(x-1)") == 2*x/(x-1) + + +def test_issue_6540_6552(): + assert S('[[1/3,2], (2/5,)]') == [[Rational(1, 3), 2], (Rational(2, 5),)] + assert S('[[2/6,2], (2/4,)]') == [[Rational(1, 3), 2], (S.Half,)] + assert S('[[[2*(1)]]]') == [[[2]]] + assert S('Matrix([2*(1)])') == Matrix([2]) + + +def test_issue_6046(): + assert str(S("Q & C", locals=_clash1)) == 'C & Q' + assert str(S('pi(x)', locals=_clash2)) == 'pi(x)' + locals = {} + exec("from sympy.abc import Q, C", locals) + assert str(S('C&Q', locals)) == 'C & Q' + # clash can act as Symbol or Function + assert str(S('pi(C, Q)', locals=_clash)) == 'pi(C, Q)' + assert len(S('pi + x', locals=_clash2).free_symbols) == 2 + # but not both + raises(TypeError, lambda: S('pi + pi(x)', locals=_clash2)) + assert all(set(i.values()) == {null} for i in ( + _clash, _clash1, _clash2)) + + +def test_issue_8821_highprec_from_str(): + s = str(pi.evalf(128)) + p = sympify(s) + assert Abs(sin(p)) < 1e-127 + + +def test_issue_10295(): + if not numpy: + skip("numpy not installed.") + + A = numpy.array([[1, 3, -1], + [0, 1, 7]]) + sA = S(A) + assert sA.shape == (2, 3) + for (ri, ci), val in numpy.ndenumerate(A): + assert sA[ri, ci] == val + + B = numpy.array([-7, x, 3*y**2]) + sB = S(B) + assert sB.shape == (3,) + assert B[0] == sB[0] == -7 + assert B[1] == sB[1] == x + assert B[2] == sB[2] == 3*y**2 + + C = numpy.arange(0, 24) + C.resize(2,3,4) + sC = S(C) + assert sC[0, 0, 0].is_integer + assert sC[0, 0, 0] == 0 + + a1 = numpy.array([1, 2, 3]) + a2 = numpy.array(list(range(24))) + a2.resize(2, 4, 3) + assert sympify(a1) == ImmutableDenseNDimArray([1, 2, 3]) + assert sympify(a2) == ImmutableDenseNDimArray(list(range(24)), (2, 4, 3)) + + +def test_Range(): + # Only works in Python 3 where range returns a range type + assert sympify(range(10)) == Range(10) + assert _sympify(range(10)) == Range(10) + + +def test_sympify_set(): + n = Symbol('n') + assert sympify({n}) == FiniteSet(n) + assert sympify(set()) == EmptySet + + +def test_sympify_numpy(): + if not numpy: + skip('numpy not installed. Abort numpy tests.') + np = numpy + + def equal(x, y): + return x == y and type(x) == type(y) + + assert sympify(np.bool_(1)) is S(True) + try: + assert equal( + sympify(np.int_(1234567891234567891)), S(1234567891234567891)) + assert equal( + sympify(np.intp(1234567891234567891)), S(1234567891234567891)) + except OverflowError: + # May fail on 32-bit systems: Python int too large to convert to C long + pass + assert equal(sympify(np.intc(1234567891)), S(1234567891)) + assert equal(sympify(np.int8(-123)), S(-123)) + assert equal(sympify(np.int16(-12345)), S(-12345)) + assert equal(sympify(np.int32(-1234567891)), S(-1234567891)) + assert equal( + sympify(np.int64(-1234567891234567891)), S(-1234567891234567891)) + assert equal(sympify(np.uint8(123)), S(123)) + assert equal(sympify(np.uint16(12345)), S(12345)) + assert equal(sympify(np.uint32(1234567891)), S(1234567891)) + assert equal( + sympify(np.uint64(1234567891234567891)), S(1234567891234567891)) + assert equal(sympify(np.float32(1.123456)), Float(1.123456, precision=24)) + assert equal(sympify(np.float64(1.1234567891234)), + Float(1.1234567891234, precision=53)) + + # The exact precision of np.longdouble, npfloat128 and other extended + # precision dtypes is platform dependent. + ldprec = np.finfo(np.longdouble(1)).nmant + 1 + assert equal(sympify(np.longdouble(1.123456789)), + Float(1.123456789, precision=ldprec)) + + assert equal(sympify(np.complex64(1 + 2j)), S(1.0 + 2.0*I)) + assert equal(sympify(np.complex128(1 + 2j)), S(1.0 + 2.0*I)) + + lcprec = np.finfo(np.clongdouble(1)).nmant + 1 + assert equal(sympify(np.clongdouble(1 + 2j)), + Float(1.0, precision=lcprec) + Float(2.0, precision=lcprec)*I) + + #float96 does not exist on all platforms + if hasattr(np, 'float96'): + f96prec = np.finfo(np.float96(1)).nmant + 1 + assert equal(sympify(np.float96(1.123456789)), + Float(1.123456789, precision=f96prec)) + + #float128 does not exist on all platforms + if hasattr(np, 'float128'): + f128prec = np.finfo(np.float128(1)).nmant + 1 + assert equal(sympify(np.float128(1.123456789123)), + Float(1.123456789123, precision=f128prec)) + + +@XFAIL +def test_sympify_rational_numbers_set(): + ans = [Rational(3, 10), Rational(1, 5)] + assert sympify({'.3', '.2'}, rational=True) == FiniteSet(*ans) + + +def test_sympify_mro(): + """Tests the resolution order for classes that implement _sympy_""" + class a: + def _sympy_(self): + return Integer(1) + class b(a): + def _sympy_(self): + return Integer(2) + class c(a): + pass + + assert sympify(a()) == Integer(1) + assert sympify(b()) == Integer(2) + assert sympify(c()) == Integer(1) + + +def test_sympify_converter(): + """Tests the resolution order for classes in converter""" + class a: + pass + class b(a): + pass + class c(a): + pass + + converter[a] = lambda x: Integer(1) + converter[b] = lambda x: Integer(2) + + assert sympify(a()) == Integer(1) + assert sympify(b()) == Integer(2) + assert sympify(c()) == Integer(1) + + class MyInteger(Integer): + pass + + if int in converter: + int_converter = converter[int] + else: + int_converter = None + + try: + converter[int] = MyInteger + assert sympify(1) == MyInteger(1) + finally: + if int_converter is None: + del converter[int] + else: + converter[int] = int_converter + + +def test_issue_13924(): + if not numpy: + skip("numpy not installed.") + + a = sympify(numpy.array([1])) + assert isinstance(a, ImmutableDenseNDimArray) + assert a[0] == 1 + + +def test_numpy_sympify_args(): + # Issue 15098. Make sure sympify args work with numpy types (like numpy.str_) + if not numpy: + skip("numpy not installed.") + + a = sympify(numpy.str_('a')) + assert type(a) is Symbol + assert a == Symbol('a') + + class CustomSymbol(Symbol): + pass + + a = sympify(numpy.str_('a'), {"Symbol": CustomSymbol}) + assert isinstance(a, CustomSymbol) + + a = sympify(numpy.str_('x^y')) + assert a == x**y + a = sympify(numpy.str_('x^y'), convert_xor=False) + assert a == Xor(x, y) + + raises(SympifyError, lambda: sympify(numpy.str_('x'), strict=True)) + + a = sympify(numpy.str_('1.1')) + assert isinstance(a, Float) + assert a == 1.1 + + a = sympify(numpy.str_('1.1'), rational=True) + assert isinstance(a, Rational) + assert a == Rational(11, 10) + + a = sympify(numpy.str_('x + x')) + assert isinstance(a, Mul) + assert a == 2*x + + a = sympify(numpy.str_('x + x'), evaluate=False) + assert isinstance(a, Add) + assert a == Add(x, x, evaluate=False) + + +def test_issue_5939(): + a = Symbol('a') + b = Symbol('b') + assert sympify('''a+\nb''') == a + b + + +def test_issue_16759(): + d = sympify({.5: 1}) + assert S.Half not in d + assert Float(.5) in d + assert d[.5] is S.One + d = sympify(OrderedDict({.5: 1})) + assert S.Half not in d + assert Float(.5) in d + assert d[.5] is S.One + d = sympify(defaultdict(int, {.5: 1})) + assert S.Half not in d + assert Float(.5) in d + assert d[.5] is S.One + + +def test_issue_17811(): + a = Function('a') + assert sympify('a(x)*5', evaluate=False) == Mul(a(x), 5, evaluate=False) + + +def test_issue_8439(): + assert sympify(float('inf')) == oo + assert x + float('inf') == x + oo + assert S(float('inf')) == oo + + +def test_issue_14706(): + if not numpy: + skip("numpy not installed.") + + z1 = numpy.zeros((1, 1), dtype=numpy.float64) + z2 = numpy.zeros((2, 2), dtype=numpy.float64) + z3 = numpy.zeros((), dtype=numpy.float64) + + y1 = numpy.ones((1, 1), dtype=numpy.float64) + y2 = numpy.ones((2, 2), dtype=numpy.float64) + y3 = numpy.ones((), dtype=numpy.float64) + + assert numpy.all(x + z1 == numpy.full((1, 1), x)) + assert numpy.all(x + z2 == numpy.full((2, 2), x)) + assert numpy.all(z1 + x == numpy.full((1, 1), x)) + assert numpy.all(z2 + x == numpy.full((2, 2), x)) + for z in [z3, + numpy.int64(0), + numpy.float64(0), + numpy.complex64(0)]: + assert x + z == x + assert z + x == x + assert isinstance(x + z, Symbol) + assert isinstance(z + x, Symbol) + + # If these tests fail, then it means that numpy has finally + # fixed the issue of scalar conversion for rank>0 arrays + # which is mentioned in numpy/numpy#10404. In that case, + # some changes have to be made in sympify.py. + # Note: For future reference, for anyone who takes up this + # issue when numpy has finally fixed their side of the problem, + # the changes for this temporary fix were introduced in PR 18651 + assert numpy.all(x + y1 == numpy.full((1, 1), x + 1.0)) + assert numpy.all(x + y2 == numpy.full((2, 2), x + 1.0)) + assert numpy.all(y1 + x == numpy.full((1, 1), x + 1.0)) + assert numpy.all(y2 + x == numpy.full((2, 2), x + 1.0)) + for y_ in [y3, + numpy.int64(1), + numpy.float64(1), + numpy.complex64(1)]: + assert x + y_ == y_ + x + assert isinstance(x + y_, Add) + assert isinstance(y_ + x, Add) + + assert x + numpy.array(x) == 2 * x + assert x + numpy.array([x]) == numpy.array([2*x], dtype=object) + + assert sympify(numpy.array([1])) == ImmutableDenseNDimArray([1], 1) + assert sympify(numpy.array([[[1]]])) == ImmutableDenseNDimArray([1], (1, 1, 1)) + assert sympify(z1) == ImmutableDenseNDimArray([0.0], (1, 1)) + assert sympify(z2) == ImmutableDenseNDimArray([0.0, 0.0, 0.0, 0.0], (2, 2)) + assert sympify(z3) == ImmutableDenseNDimArray([0.0], ()) + assert sympify(z3, strict=True) == 0.0 + + raises(SympifyError, lambda: sympify(numpy.array([1]), strict=True)) + raises(SympifyError, lambda: sympify(z1, strict=True)) + raises(SympifyError, lambda: sympify(z2, strict=True)) + + +def test_issue_21536(): + #test to check evaluate=False in case of iterable input + u = sympify("x+3*x+2", evaluate=False) + v = sympify("2*x+4*x+2+4", evaluate=False) + + assert u.is_Add and set(u.args) == {x, 3*x, 2} + assert v.is_Add and set(v.args) == {2*x, 4*x, 2, 4} + assert sympify(["x+3*x+2", "2*x+4*x+2+4"], evaluate=False) == [u, v] + + #test to check evaluate=True in case of iterable input + u = sympify("x+3*x+2", evaluate=True) + v = sympify("2*x+4*x+2+4", evaluate=True) + + assert u.is_Add and set(u.args) == {4*x, 2} + assert v.is_Add and set(v.args) == {6*x, 6} + assert sympify(["x+3*x+2", "2*x+4*x+2+4"], evaluate=True) == [u, v] + + #test to check evaluate with no input in case of iterable input + u = sympify("x+3*x+2") + v = sympify("2*x+4*x+2+4") + + assert u.is_Add and set(u.args) == {4*x, 2} + assert v.is_Add and set(v.args) == {6*x, 6} + assert sympify(["x+3*x+2", "2*x+4*x+2+4"]) == [u, v] + +def test_issue_27284(): + if not numpy: + skip("numpy not installed.") + + assert Float(numpy.float32(float('inf'))) == S.Infinity + assert Float(numpy.float32(float('-inf'))) == S.NegativeInfinity diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_traversal.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_traversal.py new file mode 100644 index 0000000000000000000000000000000000000000..8bf067283eaba5d4a073a73feb07aac199055a7f --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_traversal.py @@ -0,0 +1,119 @@ +from sympy.core.basic import Basic +from sympy.core.containers import Tuple +from sympy.core.sorting import default_sort_key +from sympy.core.symbol import symbols +from sympy.core.singleton import S +from sympy.core.function import expand, Function +from sympy.core.numbers import I +from sympy.integrals.integrals import Integral +from sympy.polys.polytools import factor +from sympy.core.traversal import preorder_traversal, use, postorder_traversal, iterargs, iterfreeargs +from sympy.functions.elementary.piecewise import ExprCondPair, Piecewise +from sympy.testing.pytest import warns_deprecated_sympy +from sympy.utilities.iterables import capture + +b1 = Basic() +b2 = Basic(b1) +b3 = Basic(b2) +b21 = Basic(b2, b1) + + +def test_preorder_traversal(): + expr = Basic(b21, b3) + assert list( + preorder_traversal(expr)) == [expr, b21, b2, b1, b1, b3, b2, b1] + assert list(preorder_traversal(('abc', ('d', 'ef')))) == [ + ('abc', ('d', 'ef')), 'abc', ('d', 'ef'), 'd', 'ef'] + + result = [] + pt = preorder_traversal(expr) + for i in pt: + result.append(i) + if i == b2: + pt.skip() + assert result == [expr, b21, b2, b1, b3, b2] + + w, x, y, z = symbols('w:z') + expr = z + w*(x + y) + assert list(preorder_traversal([expr], keys=default_sort_key)) == \ + [[w*(x + y) + z], w*(x + y) + z, z, w*(x + y), w, x + y, x, y] + assert list(preorder_traversal((x + y)*z, keys=True)) == \ + [z*(x + y), z, x + y, x, y] + + +def test_use(): + x, y = symbols('x y') + + assert use(0, expand) == 0 + + f = (x + y)**2*x + 1 + + assert use(f, expand, level=0) == x**3 + 2*x**2*y + x*y**2 + + 1 + assert use(f, expand, level=1) == x**3 + 2*x**2*y + x*y**2 + + 1 + assert use(f, expand, level=2) == 1 + x*(2*x*y + x**2 + y**2) + assert use(f, expand, level=3) == (x + y)**2*x + 1 + + f = (x**2 + 1)**2 - 1 + kwargs = {'gaussian': True} + + assert use(f, factor, level=0, kwargs=kwargs) == x**2*(x**2 + 2) + assert use(f, factor, level=1, kwargs=kwargs) == (x + I)**2*(x - I)**2 - 1 + assert use(f, factor, level=2, kwargs=kwargs) == (x + I)**2*(x - I)**2 - 1 + assert use(f, factor, level=3, kwargs=kwargs) == (x**2 + 1)**2 - 1 + + +def test_postorder_traversal(): + x, y, z, w = symbols('x y z w') + expr = z + w*(x + y) + expected = [z, w, x, y, x + y, w*(x + y), w*(x + y) + z] + assert list(postorder_traversal(expr, keys=default_sort_key)) == expected + assert list(postorder_traversal(expr, keys=True)) == expected + + expr = Piecewise((x, x < 1), (x**2, True)) + expected = [ + x, 1, x, x < 1, ExprCondPair(x, x < 1), + 2, x, x**2, S.true, + ExprCondPair(x**2, True), Piecewise((x, x < 1), (x**2, True)) + ] + assert list(postorder_traversal(expr, keys=default_sort_key)) == expected + assert list(postorder_traversal( + [expr], keys=default_sort_key)) == expected + [[expr]] + + assert list(postorder_traversal(Integral(x**2, (x, 0, 1)), + keys=default_sort_key)) == [ + 2, x, x**2, 0, 1, x, Tuple(x, 0, 1), + Integral(x**2, Tuple(x, 0, 1)) + ] + assert list(postorder_traversal(('abc', ('d', 'ef')))) == [ + 'abc', 'd', 'ef', ('d', 'ef'), ('abc', ('d', 'ef'))] + + +def test_iterargs(): + f = Function('f') + x = symbols('x') + assert list(iterfreeargs(Integral(f(x), (f(x), 1)))) == [ + Integral(f(x), (f(x), 1)), 1] + assert list(iterargs(Integral(f(x), (f(x), 1)))) == [ + Integral(f(x), (f(x), 1)), f(x), (f(x), 1), x, f(x), 1, x] + +def test_deprecated_imports(): + x = symbols('x') + + with warns_deprecated_sympy(): + from sympy.core.basic import preorder_traversal + preorder_traversal(x) + with warns_deprecated_sympy(): + from sympy.simplify.simplify import bottom_up + bottom_up(x, lambda x: x) + with warns_deprecated_sympy(): + from sympy.simplify.simplify import walk + walk(x, lambda x: x) + with warns_deprecated_sympy(): + from sympy.simplify.traversaltools import use + use(x, lambda x: x) + with warns_deprecated_sympy(): + from sympy.utilities.iterables import postorder_traversal + postorder_traversal(x) + with warns_deprecated_sympy(): + from sympy.utilities.iterables import interactive_traversal + capture(lambda: interactive_traversal(x)) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_truediv.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_truediv.py new file mode 100644 index 0000000000000000000000000000000000000000..1fcf9e1ab754d05a3b47e7ec0c2be5ea9929da02 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_truediv.py @@ -0,0 +1,54 @@ +#this module tests that SymPy works with true division turned on + +from sympy.core.numbers import (Float, Rational) +from sympy.core.symbol import Symbol + + +def test_truediv(): + assert 1/2 != 0 + assert Rational(1)/2 != 0 + + +def dotest(s): + x = Symbol("x") + y = Symbol("y") + l = [ + Rational(2), + Float("1.3"), + x, + y, + pow(x, y)*y, + 5, + 5.5 + ] + for x in l: + for y in l: + s(x, y) + return True + + +def test_basic(): + def s(a, b): + x = a + x = +a + x = -a + x = a + b + x = a - b + x = a*b + x = a/b + x = a**b + del x + assert dotest(s) + + +def test_ibasic(): + def s(a, b): + x = a + x += b + x = a + x -= b + x = a + x *= b + x = a + x /= b + assert dotest(s) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_var.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_var.py new file mode 100644 index 0000000000000000000000000000000000000000..a02709464c9878082fecaf70fa47067ac8838ac6 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/core/tests/test_var.py @@ -0,0 +1,62 @@ +from sympy.core.function import (Function, FunctionClass) +from sympy.core.symbol import (Symbol, var) +from sympy.testing.pytest import raises + +def test_var(): + ns = {"var": var, "raises": raises} + eval("var('a')", ns) + assert ns["a"] == Symbol("a") + + eval("var('b bb cc zz _x')", ns) + assert ns["b"] == Symbol("b") + assert ns["bb"] == Symbol("bb") + assert ns["cc"] == Symbol("cc") + assert ns["zz"] == Symbol("zz") + assert ns["_x"] == Symbol("_x") + + v = eval("var(['d', 'e', 'fg'])", ns) + assert ns['d'] == Symbol('d') + assert ns['e'] == Symbol('e') + assert ns['fg'] == Symbol('fg') + +# check return value + assert v != ['d', 'e', 'fg'] + assert v == [Symbol('d'), Symbol('e'), Symbol('fg')] + + +def test_var_return(): + ns = {"var": var, "raises": raises} + "raises(ValueError, lambda: var(''))" + v2 = eval("var('q')", ns) + v3 = eval("var('q p')", ns) + + assert v2 == Symbol('q') + assert v3 == (Symbol('q'), Symbol('p')) + + +def test_var_accepts_comma(): + ns = {"var": var} + v1 = eval("var('x y z')", ns) + v2 = eval("var('x,y,z')", ns) + v3 = eval("var('x,y z')", ns) + + assert v1 == v2 + assert v1 == v3 + + +def test_var_keywords(): + ns = {"var": var} + eval("var('x y', real=True)", ns) + assert ns['x'].is_real and ns['y'].is_real + + +def test_var_cls(): + ns = {"var": var, "Function": Function} + eval("var('f', cls=Function)", ns) + + assert isinstance(ns['f'], FunctionClass) + + eval("var('g,h', cls=Function)", ns) + + assert isinstance(ns['g'], FunctionClass) + assert isinstance(ns['h'], FunctionClass) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/crypto/__pycache__/__init__.cpython-312.pyc b/tool_server/.venv/lib/python3.12/site-packages/sympy/crypto/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..c9d9865cdc68819334d8157f8592bb04ca9fb4e3 Binary files /dev/null and b/tool_server/.venv/lib/python3.12/site-packages/sympy/crypto/__pycache__/__init__.cpython-312.pyc differ diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/crypto/__pycache__/crypto.cpython-312.pyc b/tool_server/.venv/lib/python3.12/site-packages/sympy/crypto/__pycache__/crypto.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..29e29c5094a0bb6e9d15544af20d743243a5c6bf --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/crypto/__pycache__/crypto.cpython-312.pyc @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5dab106d5e022477cc943b14a4ee94f591675c40d6a00fb0128adc6b03cdce74 +size 107132 diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/crypto/tests/__init__.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/crypto/tests/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/crypto/tests/__pycache__/__init__.cpython-312.pyc b/tool_server/.venv/lib/python3.12/site-packages/sympy/crypto/tests/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..a7c56eaf3ea13436c49f257659e3525e017a5fbb Binary files /dev/null and b/tool_server/.venv/lib/python3.12/site-packages/sympy/crypto/tests/__pycache__/__init__.cpython-312.pyc differ diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/crypto/tests/__pycache__/test_crypto.cpython-312.pyc b/tool_server/.venv/lib/python3.12/site-packages/sympy/crypto/tests/__pycache__/test_crypto.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..68ddaed446b2c1bf433eeee348fd13049bae29e4 Binary files /dev/null and b/tool_server/.venv/lib/python3.12/site-packages/sympy/crypto/tests/__pycache__/test_crypto.cpython-312.pyc differ diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/crypto/tests/test_crypto.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/crypto/tests/test_crypto.py new file mode 100644 index 0000000000000000000000000000000000000000..c671138f9a61325f6e65cc7cafddc7cd46f19229 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/crypto/tests/test_crypto.py @@ -0,0 +1,562 @@ +from sympy.core import symbols +from sympy.crypto.crypto import (cycle_list, + encipher_shift, encipher_affine, encipher_substitution, + check_and_join, encipher_vigenere, decipher_vigenere, + encipher_hill, decipher_hill, encipher_bifid5, encipher_bifid6, + bifid5_square, bifid6_square, bifid5, bifid6, + decipher_bifid5, decipher_bifid6, encipher_kid_rsa, + decipher_kid_rsa, kid_rsa_private_key, kid_rsa_public_key, + decipher_rsa, rsa_private_key, rsa_public_key, encipher_rsa, + lfsr_connection_polynomial, lfsr_autocorrelation, lfsr_sequence, + encode_morse, decode_morse, elgamal_private_key, elgamal_public_key, + encipher_elgamal, decipher_elgamal, dh_private_key, dh_public_key, + dh_shared_key, decipher_shift, decipher_affine, encipher_bifid, + decipher_bifid, bifid_square, padded_key, uniq, decipher_gm, + encipher_gm, gm_public_key, gm_private_key, encipher_bg, decipher_bg, + bg_private_key, bg_public_key, encipher_rot13, decipher_rot13, + encipher_atbash, decipher_atbash, NonInvertibleCipherWarning, + encipher_railfence, decipher_railfence) +from sympy.external.gmpy import gcd +from sympy.matrices import Matrix +from sympy.ntheory import isprime, is_primitive_root +from sympy.polys.domains import FF + +from sympy.testing.pytest import raises, warns + +from sympy.core.random import randrange + +def test_encipher_railfence(): + assert encipher_railfence("hello world",2) == "hlowrdel ol" + assert encipher_railfence("hello world",3) == "horel ollwd" + assert encipher_railfence("hello world",4) == "hwe olordll" + +def test_decipher_railfence(): + assert decipher_railfence("hlowrdel ol",2) == "hello world" + assert decipher_railfence("horel ollwd",3) == "hello world" + assert decipher_railfence("hwe olordll",4) == "hello world" + + +def test_cycle_list(): + assert cycle_list(3, 4) == [3, 0, 1, 2] + assert cycle_list(-1, 4) == [3, 0, 1, 2] + assert cycle_list(1, 4) == [1, 2, 3, 0] + + +def test_encipher_shift(): + assert encipher_shift("ABC", 0) == "ABC" + assert encipher_shift("ABC", 1) == "BCD" + assert encipher_shift("ABC", -1) == "ZAB" + assert decipher_shift("ZAB", -1) == "ABC" + +def test_encipher_rot13(): + assert encipher_rot13("ABC") == "NOP" + assert encipher_rot13("NOP") == "ABC" + assert decipher_rot13("ABC") == "NOP" + assert decipher_rot13("NOP") == "ABC" + + +def test_encipher_affine(): + assert encipher_affine("ABC", (1, 0)) == "ABC" + assert encipher_affine("ABC", (1, 1)) == "BCD" + assert encipher_affine("ABC", (-1, 0)) == "AZY" + assert encipher_affine("ABC", (-1, 1), symbols="ABCD") == "BAD" + assert encipher_affine("123", (-1, 1), symbols="1234") == "214" + assert encipher_affine("ABC", (3, 16)) == "QTW" + assert decipher_affine("QTW", (3, 16)) == "ABC" + +def test_encipher_atbash(): + assert encipher_atbash("ABC") == "ZYX" + assert encipher_atbash("ZYX") == "ABC" + assert decipher_atbash("ABC") == "ZYX" + assert decipher_atbash("ZYX") == "ABC" + +def test_encipher_substitution(): + assert encipher_substitution("ABC", "BAC", "ABC") == "BAC" + assert encipher_substitution("123", "1243", "1234") == "124" + + +def test_check_and_join(): + assert check_and_join("abc") == "abc" + assert check_and_join(uniq("aaabc")) == "abc" + assert check_and_join("ab c".split()) == "abc" + assert check_and_join("abc", "a", filter=True) == "a" + raises(ValueError, lambda: check_and_join('ab', 'a')) + + +def test_encipher_vigenere(): + assert encipher_vigenere("ABC", "ABC") == "ACE" + assert encipher_vigenere("ABC", "ABC", symbols="ABCD") == "ACA" + assert encipher_vigenere("ABC", "AB", symbols="ABCD") == "ACC" + assert encipher_vigenere("AB", "ABC", symbols="ABCD") == "AC" + assert encipher_vigenere("A", "ABC", symbols="ABCD") == "A" + + +def test_decipher_vigenere(): + assert decipher_vigenere("ABC", "ABC") == "AAA" + assert decipher_vigenere("ABC", "ABC", symbols="ABCD") == "AAA" + assert decipher_vigenere("ABC", "AB", symbols="ABCD") == "AAC" + assert decipher_vigenere("AB", "ABC", symbols="ABCD") == "AA" + assert decipher_vigenere("A", "ABC", symbols="ABCD") == "A" + + +def test_encipher_hill(): + A = Matrix(2, 2, [1, 2, 3, 5]) + assert encipher_hill("ABCD", A) == "CFIV" + A = Matrix(2, 2, [1, 0, 0, 1]) + assert encipher_hill("ABCD", A) == "ABCD" + assert encipher_hill("ABCD", A, symbols="ABCD") == "ABCD" + A = Matrix(2, 2, [1, 2, 3, 5]) + assert encipher_hill("ABCD", A, symbols="ABCD") == "CBAB" + assert encipher_hill("AB", A, symbols="ABCD") == "CB" + # message length, n, does not need to be a multiple of k; + # it is padded + assert encipher_hill("ABA", A) == "CFGC" + assert encipher_hill("ABA", A, pad="Z") == "CFYV" + + +def test_decipher_hill(): + A = Matrix(2, 2, [1, 2, 3, 5]) + assert decipher_hill("CFIV", A) == "ABCD" + A = Matrix(2, 2, [1, 0, 0, 1]) + assert decipher_hill("ABCD", A) == "ABCD" + assert decipher_hill("ABCD", A, symbols="ABCD") == "ABCD" + A = Matrix(2, 2, [1, 2, 3, 5]) + assert decipher_hill("CBAB", A, symbols="ABCD") == "ABCD" + assert decipher_hill("CB", A, symbols="ABCD") == "AB" + # n does not need to be a multiple of k + assert decipher_hill("CFA", A) == "ABAA" + + +def test_encipher_bifid5(): + assert encipher_bifid5("AB", "AB") == "AB" + assert encipher_bifid5("AB", "CD") == "CO" + assert encipher_bifid5("ab", "c") == "CH" + assert encipher_bifid5("a bc", "b") == "BAC" + + +def test_bifid5_square(): + A = bifid5 + f = lambda i, j: symbols(A[5*i + j]) + M = Matrix(5, 5, f) + assert bifid5_square("") == M + + +def test_decipher_bifid5(): + assert decipher_bifid5("AB", "AB") == "AB" + assert decipher_bifid5("CO", "CD") == "AB" + assert decipher_bifid5("ch", "c") == "AB" + assert decipher_bifid5("b ac", "b") == "ABC" + + +def test_encipher_bifid6(): + assert encipher_bifid6("AB", "AB") == "AB" + assert encipher_bifid6("AB", "CD") == "CP" + assert encipher_bifid6("ab", "c") == "CI" + assert encipher_bifid6("a bc", "b") == "BAC" + + +def test_decipher_bifid6(): + assert decipher_bifid6("AB", "AB") == "AB" + assert decipher_bifid6("CP", "CD") == "AB" + assert decipher_bifid6("ci", "c") == "AB" + assert decipher_bifid6("b ac", "b") == "ABC" + + +def test_bifid6_square(): + A = bifid6 + f = lambda i, j: symbols(A[6*i + j]) + M = Matrix(6, 6, f) + assert bifid6_square("") == M + + +def test_rsa_public_key(): + assert rsa_public_key(2, 3, 1) == (6, 1) + assert rsa_public_key(5, 3, 3) == (15, 3) + + with warns(NonInvertibleCipherWarning): + assert rsa_public_key(2, 2, 1) == (4, 1) + assert rsa_public_key(8, 8, 8) is False + + +def test_rsa_private_key(): + assert rsa_private_key(2, 3, 1) == (6, 1) + assert rsa_private_key(5, 3, 3) == (15, 3) + assert rsa_private_key(23,29,5) == (667,493) + + with warns(NonInvertibleCipherWarning): + assert rsa_private_key(2, 2, 1) == (4, 1) + assert rsa_private_key(8, 8, 8) is False + + +def test_rsa_large_key(): + # Sample from + # http://www.herongyang.com/Cryptography/JCE-Public-Key-RSA-Private-Public-Key-Pair-Sample.html + p = int('101565610013301240713207239558950144682174355406589305284428666'\ + '903702505233009') + q = int('894687191887545488935455605955948413812376003053143521429242133'\ + '12069293984003') + e = int('65537') + d = int('893650581832704239530398858744759129594796235440844479456143566'\ + '6999402846577625762582824202269399672579058991442587406384754958587'\ + '400493169361356902030209') + assert rsa_public_key(p, q, e) == (p*q, e) + assert rsa_private_key(p, q, e) == (p*q, d) + + +def test_encipher_rsa(): + puk = rsa_public_key(2, 3, 1) + assert encipher_rsa(2, puk) == 2 + puk = rsa_public_key(5, 3, 3) + assert encipher_rsa(2, puk) == 8 + + with warns(NonInvertibleCipherWarning): + puk = rsa_public_key(2, 2, 1) + assert encipher_rsa(2, puk) == 2 + + +def test_decipher_rsa(): + prk = rsa_private_key(2, 3, 1) + assert decipher_rsa(2, prk) == 2 + prk = rsa_private_key(5, 3, 3) + assert decipher_rsa(8, prk) == 2 + + with warns(NonInvertibleCipherWarning): + prk = rsa_private_key(2, 2, 1) + assert decipher_rsa(2, prk) == 2 + + +def test_mutltiprime_rsa_full_example(): + # Test example from + # https://iopscience.iop.org/article/10.1088/1742-6596/995/1/012030 + puk = rsa_public_key(2, 3, 5, 7, 11, 13, 7) + prk = rsa_private_key(2, 3, 5, 7, 11, 13, 7) + assert puk == (30030, 7) + assert prk == (30030, 823) + + msg = 10 + encrypted = encipher_rsa(2 * msg - 15, puk) + assert encrypted == 18065 + decrypted = (decipher_rsa(encrypted, prk) + 15) / 2 + assert decrypted == msg + + # Test example from + # https://www.scirp.org/pdf/JCC_2018032215502008.pdf + puk1 = rsa_public_key(53, 41, 43, 47, 41) + prk1 = rsa_private_key(53, 41, 43, 47, 41) + puk2 = rsa_public_key(53, 41, 43, 47, 97) + prk2 = rsa_private_key(53, 41, 43, 47, 97) + + assert puk1 == (4391633, 41) + assert prk1 == (4391633, 294041) + assert puk2 == (4391633, 97) + assert prk2 == (4391633, 455713) + + msg = 12321 + encrypted = encipher_rsa(encipher_rsa(msg, puk1), puk2) + assert encrypted == 1081588 + decrypted = decipher_rsa(decipher_rsa(encrypted, prk2), prk1) + assert decrypted == msg + + +def test_rsa_crt_extreme(): + p = int( + '10177157607154245068023861503693082120906487143725062283406501' \ + '54082258226204046999838297167140821364638180697194879500245557' \ + '65445186962893346463841419427008800341257468600224049986260471' \ + '92257248163014468841725476918639415726709736077813632961290911' \ + '0256421232977833028677441206049309220354796014376698325101693') + + q = int( + '28752342353095132872290181526607275886182793241660805077850801' \ + '75689512797754286972952273553128181861830576836289738668745250' \ + '34028199691128870676414118458442900035778874482624765513861643' \ + '27966696316822188398336199002306588703902894100476186823849595' \ + '103239410527279605442148285816149368667083114802852804976893') + + r = int( + '17698229259868825776879500736350186838850961935956310134378261' \ + '89771862186717463067541369694816245225291921138038800171125596' \ + '07315449521981157084370187887650624061033066022458512942411841' \ + '18747893789972315277160085086164119879536041875335384844820566' \ + '0287479617671726408053319619892052000850883994343378882717849') + + s = int( + '68925428438585431029269182233502611027091755064643742383515623' \ + '64321310582896893395529367074942808353187138794422745718419645' \ + '28291231865157212604266903677599180789896916456120289112752835' \ + '98502265889669730331688206825220074713977607415178738015831030' \ + '364290585369150502819743827343552098197095520550865360159439' + ) + + t = int( + '69035483433453632820551311892368908779778144568711455301541094' \ + '31487047642322695357696860925747923189635033183069823820910521' \ + '71172909106797748883261493224162414050106920442445896819806600' \ + '15448444826108008217972129130625571421904893252804729877353352' \ + '739420480574842850202181462656251626522910618936534699566291' + ) + + e = 65537 + puk = rsa_public_key(p, q, r, s, t, e) + prk = rsa_private_key(p, q, r, s, t, e) + + plaintext = 1000 + ciphertext_1 = encipher_rsa(plaintext, puk) + ciphertext_2 = encipher_rsa(plaintext, puk, [p, q, r, s, t]) + assert ciphertext_1 == ciphertext_2 + assert decipher_rsa(ciphertext_1, prk) == \ + decipher_rsa(ciphertext_1, prk, [p, q, r, s, t]) + + +def test_rsa_exhaustive(): + p, q = 61, 53 + e = 17 + puk = rsa_public_key(p, q, e, totient='Carmichael') + prk = rsa_private_key(p, q, e, totient='Carmichael') + + for msg in range(puk[0]): + encrypted = encipher_rsa(msg, puk) + decrypted = decipher_rsa(encrypted, prk) + try: + assert decrypted == msg + except AssertionError: + raise AssertionError( + "The RSA is not correctly decrypted " \ + "(Original : {}, Encrypted : {}, Decrypted : {})" \ + .format(msg, encrypted, decrypted) + ) + + +def test_rsa_multiprime_exhanstive(): + primes = [3, 5, 7, 11] + e = 7 + args = primes + [e] + puk = rsa_public_key(*args, totient='Carmichael') + prk = rsa_private_key(*args, totient='Carmichael') + n = puk[0] + + for msg in range(n): + encrypted = encipher_rsa(msg, puk) + decrypted = decipher_rsa(encrypted, prk) + try: + assert decrypted == msg + except AssertionError: + raise AssertionError( + "The RSA is not correctly decrypted " \ + "(Original : {}, Encrypted : {}, Decrypted : {})" \ + .format(msg, encrypted, decrypted) + ) + + +def test_rsa_multipower_exhanstive(): + primes = [5, 5, 7] + e = 7 + args = primes + [e] + puk = rsa_public_key(*args, multipower=True) + prk = rsa_private_key(*args, multipower=True) + n = puk[0] + + for msg in range(n): + if gcd(msg, n) != 1: + continue + + encrypted = encipher_rsa(msg, puk) + decrypted = decipher_rsa(encrypted, prk) + try: + assert decrypted == msg + except AssertionError: + raise AssertionError( + "The RSA is not correctly decrypted " \ + "(Original : {}, Encrypted : {}, Decrypted : {})" \ + .format(msg, encrypted, decrypted) + ) + + +def test_kid_rsa_public_key(): + assert kid_rsa_public_key(1, 2, 1, 1) == (5, 2) + assert kid_rsa_public_key(1, 2, 2, 1) == (8, 3) + assert kid_rsa_public_key(1, 2, 1, 2) == (7, 2) + + +def test_kid_rsa_private_key(): + assert kid_rsa_private_key(1, 2, 1, 1) == (5, 3) + assert kid_rsa_private_key(1, 2, 2, 1) == (8, 3) + assert kid_rsa_private_key(1, 2, 1, 2) == (7, 4) + + +def test_encipher_kid_rsa(): + assert encipher_kid_rsa(1, (5, 2)) == 2 + assert encipher_kid_rsa(1, (8, 3)) == 3 + assert encipher_kid_rsa(1, (7, 2)) == 2 + + +def test_decipher_kid_rsa(): + assert decipher_kid_rsa(2, (5, 3)) == 1 + assert decipher_kid_rsa(3, (8, 3)) == 1 + assert decipher_kid_rsa(2, (7, 4)) == 1 + + +def test_encode_morse(): + assert encode_morse('ABC') == '.-|-...|-.-.' + assert encode_morse('SMS ') == '...|--|...||' + assert encode_morse('SMS\n') == '...|--|...||' + assert encode_morse('') == '' + assert encode_morse(' ') == '||' + assert encode_morse(' ', sep='`') == '``' + assert encode_morse(' ', sep='``') == '````' + assert encode_morse('!@#$%^&*()_+') == '-.-.--|.--.-.|...-..-|-.--.|-.--.-|..--.-|.-.-.' + assert encode_morse('12345') == '.----|..---|...--|....-|.....' + assert encode_morse('67890') == '-....|--...|---..|----.|-----' + + +def test_decode_morse(): + assert decode_morse('-.-|.|-.--') == 'KEY' + assert decode_morse('.-.|..-|-.||') == 'RUN' + raises(KeyError, lambda: decode_morse('.....----')) + + +def test_lfsr_sequence(): + raises(TypeError, lambda: lfsr_sequence(1, [1], 1)) + raises(TypeError, lambda: lfsr_sequence([1], 1, 1)) + F = FF(2) + assert lfsr_sequence([F(1)], [F(1)], 2) == [F(1), F(1)] + assert lfsr_sequence([F(0)], [F(1)], 2) == [F(1), F(0)] + F = FF(3) + assert lfsr_sequence([F(1)], [F(1)], 2) == [F(1), F(1)] + assert lfsr_sequence([F(0)], [F(2)], 2) == [F(2), F(0)] + assert lfsr_sequence([F(1)], [F(2)], 2) == [F(2), F(2)] + + +def test_lfsr_autocorrelation(): + raises(TypeError, lambda: lfsr_autocorrelation(1, 2, 3)) + F = FF(2) + s = lfsr_sequence([F(1), F(0)], [F(0), F(1)], 5) + assert lfsr_autocorrelation(s, 2, 0) == 1 + assert lfsr_autocorrelation(s, 2, 1) == -1 + + +def test_lfsr_connection_polynomial(): + F = FF(2) + x = symbols("x") + s = lfsr_sequence([F(1), F(0)], [F(0), F(1)], 5) + assert lfsr_connection_polynomial(s) == x**2 + 1 + s = lfsr_sequence([F(1), F(1)], [F(0), F(1)], 5) + assert lfsr_connection_polynomial(s) == x**2 + x + 1 + + +def test_elgamal_private_key(): + a, b, _ = elgamal_private_key(digit=100) + assert isprime(a) + assert is_primitive_root(b, a) + assert len(bin(a)) >= 102 + + +def test_elgamal(): + dk = elgamal_private_key(5) + ek = elgamal_public_key(dk) + P = ek[0] + assert P - 1 == decipher_elgamal(encipher_elgamal(P - 1, ek), dk) + raises(ValueError, lambda: encipher_elgamal(P, dk)) + raises(ValueError, lambda: encipher_elgamal(-1, dk)) + + +def test_dh_private_key(): + p, g, _ = dh_private_key(digit = 100) + assert isprime(p) + assert is_primitive_root(g, p) + assert len(bin(p)) >= 102 + + +def test_dh_public_key(): + p1, g1, a = dh_private_key(digit = 100) + p2, g2, ga = dh_public_key((p1, g1, a)) + assert p1 == p2 + assert g1 == g2 + assert ga == pow(g1, a, p1) + + +def test_dh_shared_key(): + prk = dh_private_key(digit = 100) + p, _, ga = dh_public_key(prk) + b = randrange(2, p) + sk = dh_shared_key((p, _, ga), b) + assert sk == pow(ga, b, p) + raises(ValueError, lambda: dh_shared_key((1031, 14, 565), 2000)) + + +def test_padded_key(): + assert padded_key('b', 'ab') == 'ba' + raises(ValueError, lambda: padded_key('ab', 'ace')) + raises(ValueError, lambda: padded_key('ab', 'abba')) + + +def test_bifid(): + raises(ValueError, lambda: encipher_bifid('abc', 'b', 'abcde')) + assert encipher_bifid('abc', 'b', 'abcd') == 'bdb' + raises(ValueError, lambda: decipher_bifid('bdb', 'b', 'abcde')) + assert encipher_bifid('bdb', 'b', 'abcd') == 'abc' + raises(ValueError, lambda: bifid_square('abcde')) + assert bifid5_square("B") == \ + bifid5_square('BACDEFGHIKLMNOPQRSTUVWXYZ') + assert bifid6_square('B0') == \ + bifid6_square('B0ACDEFGHIJKLMNOPQRSTUVWXYZ123456789') + + +def test_encipher_decipher_gm(): + ps = [131, 137, 139, 149, 151, 157, 163, 167, + 173, 179, 181, 191, 193, 197, 199] + qs = [89, 97, 101, 103, 107, 109, 113, 127, + 131, 137, 139, 149, 151, 157, 47] + messages = [ + 0, 32855, 34303, 14805, 1280, 75859, 38368, + 724, 60356, 51675, 76697, 61854, 18661, + ] + for p, q in zip(ps, qs): + pri = gm_private_key(p, q) + for msg in messages: + pub = gm_public_key(p, q) + enc = encipher_gm(msg, pub) + dec = decipher_gm(enc, pri) + assert dec == msg + + +def test_gm_private_key(): + raises(ValueError, lambda: gm_public_key(13, 15)) + raises(ValueError, lambda: gm_public_key(0, 0)) + raises(ValueError, lambda: gm_public_key(0, 5)) + assert 17, 19 == gm_public_key(17, 19) + + +def test_gm_public_key(): + assert 323 == gm_public_key(17, 19)[1] + assert 15 == gm_public_key(3, 5)[1] + raises(ValueError, lambda: gm_public_key(15, 19)) + +def test_encipher_decipher_bg(): + ps = [67, 7, 71, 103, 11, 43, 107, 47, + 79, 19, 83, 23, 59, 127, 31] + qs = qs = [7, 71, 103, 11, 43, 107, 47, + 79, 19, 83, 23, 59, 127, 31, 67] + messages = [ + 0, 328, 343, 148, 1280, 758, 383, + 724, 603, 516, 766, 618, 186, + ] + + for p, q 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+def test_point(): + point = Point(cs, [x, y]) + assert point != Point(cs, [2, y]) + #TODO assert point.subs(x, 2) == Point(cs, [2, y]) + #TODO assert point.free_symbols == set([x, y]) + +def test_subs(): + assert s1.subs(s1, s2) == s2 + assert v1.subs(v1, v2) == v2 + assert f1.subs(f1, f2) == f2 + assert (x*f(s1) + y).subs(s1, s2) == x*f(s2) + y + assert (f(s1)*v1).subs(v1, v2) == f(s1)*v2 + assert (y*f(s1)*f1).subs(f1, f2) == y*f(s1)*f2 + +def test_deprecated(): + with warns_deprecated_sympy(): + cs_wname = CoordSystem('cs', p, ['a', 'b']) + assert cs_wname == cs_wname.func(*cs_wname.args) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/diffgeom/tests/test_diffgeom.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/diffgeom/tests/test_diffgeom.py new file mode 100644 index 0000000000000000000000000000000000000000..7c3c9265785896b8f4ffa3a2b41816ca90579758 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/diffgeom/tests/test_diffgeom.py @@ -0,0 +1,342 @@ +from sympy.core import Lambda, Symbol, symbols +from sympy.diffgeom.rn import R2, R2_p, R2_r, R3_r, R3_c, R3_s, R2_origin +from sympy.diffgeom import (Manifold, Patch, CoordSystem, Commutator, Differential, TensorProduct, + WedgeProduct, BaseCovarDerivativeOp, CovarDerivativeOp, LieDerivative, + covariant_order, contravariant_order, twoform_to_matrix, metric_to_Christoffel_1st, + metric_to_Christoffel_2nd, metric_to_Riemann_components, + metric_to_Ricci_components, intcurve_diffequ, intcurve_series) +from sympy.simplify import trigsimp, simplify +from sympy.functions import sqrt, atan2, sin +from sympy.matrices import Matrix +from sympy.testing.pytest import raises, nocache_fail +from sympy.testing.pytest import warns_deprecated_sympy + +TP = TensorProduct + + +def test_coordsys_transform(): + # test inverse transforms + p, q, r, s = symbols('p q r s') + rel = {('first', 'second'): [(p, q), (q, -p)]} + R2_pq = CoordSystem('first', R2_origin, [p, q], rel) + R2_rs = CoordSystem('second', R2_origin, [r, s], rel) + r, s = R2_rs.symbols + assert R2_rs.transform(R2_pq) == Matrix([[-s], [r]]) + + # inverse transform impossible case + a, b = symbols('a b', positive=True) + rel = {('first', 'second'): [(a,), (-a,)]} + R2_a = CoordSystem('first', R2_origin, [a], rel) + R2_b = CoordSystem('second', R2_origin, [b], rel) + # This transformation is uninvertible because there is no positive a, b satisfying a = -b + with raises(NotImplementedError): + R2_b.transform(R2_a) + + # inverse transform ambiguous case + c, d = symbols('c d') + rel = {('first', 'second'): [(c,), (c**2,)]} + R2_c = CoordSystem('first', R2_origin, [c], rel) + R2_d = CoordSystem('second', R2_origin, [d], rel) + # The transform method should throw if it finds multiple inverses for a coordinate transformation. + with raises(ValueError): + R2_d.transform(R2_c) + + # test indirect transformation + a, b, c, d, e, f = symbols('a, b, c, d, e, f') + rel = {('C1', 'C2'): [(a, b), (2*a, 3*b)], + ('C2', 'C3'): [(c, d), (3*c, 2*d)]} + C1 = CoordSystem('C1', R2_origin, (a, b), rel) + C2 = CoordSystem('C2', R2_origin, (c, d), rel) + C3 = CoordSystem('C3', R2_origin, (e, f), rel) + a, b = C1.symbols + c, d = C2.symbols + e, f = C3.symbols + assert C2.transform(C1) == Matrix([c/2, d/3]) + assert C1.transform(C3) == Matrix([6*a, 6*b]) + assert C3.transform(C1) == Matrix([e/6, f/6]) + assert C3.transform(C2) == Matrix([e/3, f/2]) + + a, b, c, d, e, f = symbols('a, b, c, d, e, f') + rel = {('C1', 'C2'): [(a, b), (2*a, 3*b + 1)], + ('C3', 'C2'): [(e, f), (-e - 2, 2*f)]} + C1 = CoordSystem('C1', R2_origin, (a, b), rel) + C2 = CoordSystem('C2', R2_origin, (c, d), rel) + C3 = CoordSystem('C3', R2_origin, (e, f), rel) + a, b = C1.symbols + c, d = C2.symbols + e, f = C3.symbols + assert C2.transform(C1) == Matrix([c/2, (d - 1)/3]) + assert C1.transform(C3) == Matrix([-2*a - 2, (3*b + 1)/2]) + assert C3.transform(C1) == Matrix([-e/2 - 1, (2*f - 1)/3]) + assert C3.transform(C2) == Matrix([-e - 2, 2*f]) + + # old signature uses Lambda + a, b, c, d, e, f = symbols('a, b, c, d, e, f') + rel = {('C1', 'C2'): Lambda((a, b), (2*a, 3*b + 1)), + ('C3', 'C2'): Lambda((e, f), (-e - 2, 2*f))} + C1 = CoordSystem('C1', R2_origin, (a, b), rel) + C2 = CoordSystem('C2', R2_origin, (c, d), rel) + C3 = CoordSystem('C3', R2_origin, (e, f), rel) + a, b = C1.symbols + c, d = C2.symbols + e, f = C3.symbols + assert C2.transform(C1) == Matrix([c/2, (d - 1)/3]) + assert C1.transform(C3) == Matrix([-2*a - 2, (3*b + 1)/2]) + assert C3.transform(C1) == Matrix([-e/2 - 1, (2*f - 1)/3]) + assert C3.transform(C2) == Matrix([-e - 2, 2*f]) + + +def test_R2(): + x0, y0, r0, theta0 = symbols('x0, y0, r0, theta0', real=True) + point_r = R2_r.point([x0, y0]) + point_p = R2_p.point([r0, theta0]) + + # r**2 = x**2 + y**2 + assert (R2.r**2 - R2.x**2 - R2.y**2).rcall(point_r) == 0 + assert trigsimp( (R2.r**2 - R2.x**2 - R2.y**2).rcall(point_p) ) == 0 + assert trigsimp(R2.e_r(R2.x**2 + R2.y**2).rcall(point_p).doit()) == 2*r0 + + # polar->rect->polar == Id + a, b = symbols('a b', positive=True) + m = Matrix([[a], [b]]) + + #TODO assert m == R2_r.transform(R2_p, R2_p.transform(R2_r, [a, b])).applyfunc(simplify) + assert m == R2_p.transform(R2_r, R2_r.transform(R2_p, m)).applyfunc(simplify) + + # deprecated method + with warns_deprecated_sympy(): + assert m == R2_p.coord_tuple_transform_to( + R2_r, R2_r.coord_tuple_transform_to(R2_p, m)).applyfunc(simplify) + + +def test_R3(): + a, b, c = symbols('a b c', positive=True) + m = Matrix([[a], [b], [c]]) + + assert m == R3_c.transform(R3_r, R3_r.transform(R3_c, m)).applyfunc(simplify) + #TODO assert m == R3_r.transform(R3_c, R3_c.transform(R3_r, m)).applyfunc(simplify) + assert m == R3_s.transform( + R3_r, R3_r.transform(R3_s, m)).applyfunc(simplify) + #TODO assert m == R3_r.transform(R3_s, R3_s.transform(R3_r, m)).applyfunc(simplify) + assert m == R3_s.transform( + R3_c, R3_c.transform(R3_s, m)).applyfunc(simplify) + #TODO assert m == R3_c.transform(R3_s, R3_s.transform(R3_c, m)).applyfunc(simplify) + + with warns_deprecated_sympy(): + assert m == R3_c.coord_tuple_transform_to( + R3_r, R3_r.coord_tuple_transform_to(R3_c, m)).applyfunc(simplify) + #TODO assert m == R3_r.coord_tuple_transform_to(R3_c, R3_c.coord_tuple_transform_to(R3_r, m)).applyfunc(simplify) + assert m == R3_s.coord_tuple_transform_to( + R3_r, R3_r.coord_tuple_transform_to(R3_s, m)).applyfunc(simplify) + #TODO assert m == R3_r.coord_tuple_transform_to(R3_s, R3_s.coord_tuple_transform_to(R3_r, m)).applyfunc(simplify) + assert m == R3_s.coord_tuple_transform_to( + R3_c, R3_c.coord_tuple_transform_to(R3_s, m)).applyfunc(simplify) + #TODO assert m == R3_c.coord_tuple_transform_to(R3_s, R3_s.coord_tuple_transform_to(R3_c, m)).applyfunc(simplify) + + +def test_CoordinateSymbol(): + x, y = R2_r.symbols + r, theta = R2_p.symbols + assert y.rewrite(R2_p) == r*sin(theta) + + +def test_point(): + x, y = symbols('x, y') + p = R2_r.point([x, y]) + assert p.free_symbols == {x, y} + assert p.coords(R2_r) == p.coords() == Matrix([x, y]) + assert p.coords(R2_p) == Matrix([sqrt(x**2 + y**2), atan2(y, x)]) + + +def test_commutator(): + assert Commutator(R2.e_x, R2.e_y) == 0 + assert Commutator(R2.x*R2.e_x, R2.x*R2.e_x) == 0 + assert Commutator(R2.x*R2.e_x, R2.x*R2.e_y) == R2.x*R2.e_y + c = Commutator(R2.e_x, R2.e_r) + assert c(R2.x) == R2.y*(R2.x**2 + R2.y**2)**(-1)*sin(R2.theta) + + +def test_differential(): + xdy = R2.x*R2.dy + dxdy = Differential(xdy) + assert xdy.rcall(None) == xdy + assert dxdy(R2.e_x, R2.e_y) == 1 + assert dxdy(R2.e_x, R2.x*R2.e_y) == R2.x + assert Differential(dxdy) == 0 + + +def test_products(): + assert TensorProduct( + R2.dx, R2.dy)(R2.e_x, R2.e_y) == R2.dx(R2.e_x)*R2.dy(R2.e_y) == 1 + assert TensorProduct(R2.dx, R2.dy)(None, R2.e_y) == R2.dx + assert TensorProduct(R2.dx, R2.dy)(R2.e_x, None) == R2.dy + assert TensorProduct(R2.dx, R2.dy)(R2.e_x) == R2.dy + assert TensorProduct(R2.x, R2.dx) == R2.x*R2.dx + assert TensorProduct( + R2.e_x, R2.e_y)(R2.x, R2.y) == R2.e_x(R2.x) * R2.e_y(R2.y) == 1 + assert TensorProduct(R2.e_x, R2.e_y)(None, R2.y) == R2.e_x + assert TensorProduct(R2.e_x, R2.e_y)(R2.x, None) == R2.e_y + assert TensorProduct(R2.e_x, R2.e_y)(R2.x) == R2.e_y + assert TensorProduct(R2.x, R2.e_x) == R2.x * R2.e_x + assert TensorProduct( + R2.dx, R2.e_y)(R2.e_x, R2.y) == R2.dx(R2.e_x) * R2.e_y(R2.y) == 1 + assert TensorProduct(R2.dx, R2.e_y)(None, R2.y) == R2.dx + assert TensorProduct(R2.dx, R2.e_y)(R2.e_x, None) == R2.e_y + assert TensorProduct(R2.dx, R2.e_y)(R2.e_x) == R2.e_y + assert TensorProduct(R2.x, R2.e_x) == R2.x * R2.e_x + assert TensorProduct( + R2.e_x, R2.dy)(R2.x, R2.e_y) == R2.e_x(R2.x) * R2.dy(R2.e_y) == 1 + assert TensorProduct(R2.e_x, R2.dy)(None, R2.e_y) == R2.e_x + assert TensorProduct(R2.e_x, R2.dy)(R2.x, None) == R2.dy + assert TensorProduct(R2.e_x, R2.dy)(R2.x) == R2.dy + assert TensorProduct(R2.e_y,R2.e_x)(R2.x**2 + R2.y**2,R2.x**2 + R2.y**2) == 4*R2.x*R2.y + + assert WedgeProduct(R2.dx, R2.dy)(R2.e_x, R2.e_y) == 1 + assert WedgeProduct(R2.e_x, R2.e_y)(R2.x, R2.y) == 1 + + +def test_lie_derivative(): + assert LieDerivative(R2.e_x, R2.y) == R2.e_x(R2.y) == 0 + assert LieDerivative(R2.e_x, R2.x) == R2.e_x(R2.x) == 1 + assert LieDerivative(R2.e_x, R2.e_x) == Commutator(R2.e_x, R2.e_x) == 0 + assert LieDerivative(R2.e_x, R2.e_r) == Commutator(R2.e_x, R2.e_r) + assert LieDerivative(R2.e_x + R2.e_y, R2.x) == 1 + assert LieDerivative( + R2.e_x, TensorProduct(R2.dx, R2.dy))(R2.e_x, R2.e_y) == 0 + + +@nocache_fail +def test_covar_deriv(): + ch = metric_to_Christoffel_2nd(TP(R2.dx, R2.dx) + TP(R2.dy, R2.dy)) + cvd = BaseCovarDerivativeOp(R2_r, 0, ch) + assert cvd(R2.x) == 1 + # This line fails if the cache is disabled: + assert cvd(R2.x*R2.e_x) == R2.e_x + cvd = CovarDerivativeOp(R2.x*R2.e_x, ch) + assert cvd(R2.x) == R2.x + assert cvd(R2.x*R2.e_x) == R2.x*R2.e_x + + +def test_intcurve_diffequ(): + t = symbols('t') + start_point = R2_r.point([1, 0]) + vector_field = -R2.y*R2.e_x + R2.x*R2.e_y + equations, init_cond = intcurve_diffequ(vector_field, t, start_point) + assert str(equations) == '[f_1(t) + Derivative(f_0(t), t), -f_0(t) + Derivative(f_1(t), t)]' + assert str(init_cond) == '[f_0(0) - 1, f_1(0)]' + equations, init_cond = intcurve_diffequ(vector_field, t, start_point, R2_p) + assert str( + equations) == '[Derivative(f_0(t), t), Derivative(f_1(t), t) - 1]' + assert str(init_cond) == '[f_0(0) - 1, f_1(0)]' + + +def test_helpers_and_coordinate_dependent(): + one_form = R2.dr + R2.dx + two_form = Differential(R2.x*R2.dr + R2.r*R2.dx) + three_form = Differential( + R2.y*two_form) + Differential(R2.x*Differential(R2.r*R2.dr)) + metric = TensorProduct(R2.dx, R2.dx) + TensorProduct(R2.dy, R2.dy) + metric_ambig = TensorProduct(R2.dx, R2.dx) + TensorProduct(R2.dr, R2.dr) + misform_a = TensorProduct(R2.dr, R2.dr) + R2.dr + misform_b = R2.dr**4 + misform_c = R2.dx*R2.dy + twoform_not_sym = TensorProduct(R2.dx, R2.dx) + TensorProduct(R2.dx, R2.dy) + twoform_not_TP = WedgeProduct(R2.dx, R2.dy) + + one_vector = R2.e_x + R2.e_y + two_vector = TensorProduct(R2.e_x, R2.e_y) + three_vector = TensorProduct(R2.e_x, R2.e_y, R2.e_x) + two_wp = WedgeProduct(R2.e_x,R2.e_y) + + assert covariant_order(one_form) == 1 + assert covariant_order(two_form) == 2 + assert covariant_order(three_form) == 3 + assert covariant_order(two_form + metric) == 2 + assert covariant_order(two_form + metric_ambig) == 2 + assert covariant_order(two_form + twoform_not_sym) == 2 + assert covariant_order(two_form + twoform_not_TP) == 2 + + assert contravariant_order(one_vector) == 1 + assert contravariant_order(two_vector) == 2 + assert contravariant_order(three_vector) == 3 + assert contravariant_order(two_vector + two_wp) == 2 + + raises(ValueError, lambda: covariant_order(misform_a)) + raises(ValueError, lambda: covariant_order(misform_b)) + raises(ValueError, lambda: covariant_order(misform_c)) + + assert twoform_to_matrix(metric) == Matrix([[1, 0], [0, 1]]) + assert twoform_to_matrix(twoform_not_sym) == Matrix([[1, 0], [1, 0]]) + assert twoform_to_matrix(twoform_not_TP) == Matrix([[0, -1], [1, 0]]) + + raises(ValueError, lambda: twoform_to_matrix(one_form)) + raises(ValueError, lambda: twoform_to_matrix(three_form)) + raises(ValueError, lambda: twoform_to_matrix(metric_ambig)) + + raises(ValueError, lambda: metric_to_Christoffel_1st(twoform_not_sym)) + raises(ValueError, lambda: metric_to_Christoffel_2nd(twoform_not_sym)) + raises(ValueError, lambda: metric_to_Riemann_components(twoform_not_sym)) + raises(ValueError, lambda: metric_to_Ricci_components(twoform_not_sym)) + + +def test_correct_arguments(): + raises(ValueError, lambda: R2.e_x(R2.e_x)) + raises(ValueError, lambda: R2.e_x(R2.dx)) + + raises(ValueError, lambda: Commutator(R2.e_x, R2.x)) + raises(ValueError, lambda: Commutator(R2.dx, R2.e_x)) + + raises(ValueError, lambda: Differential(Differential(R2.e_x))) + + raises(ValueError, lambda: R2.dx(R2.x)) + + raises(ValueError, lambda: LieDerivative(R2.dx, R2.dx)) + raises(ValueError, lambda: LieDerivative(R2.x, R2.dx)) + + raises(ValueError, lambda: CovarDerivativeOp(R2.dx, [])) + raises(ValueError, lambda: CovarDerivativeOp(R2.x, [])) + + a = Symbol('a') + raises(ValueError, lambda: intcurve_series(R2.dx, a, R2_r.point([1, 2]))) + raises(ValueError, lambda: intcurve_series(R2.x, a, R2_r.point([1, 2]))) + + raises(ValueError, lambda: intcurve_diffequ(R2.dx, a, R2_r.point([1, 2]))) + raises(ValueError, lambda: intcurve_diffequ(R2.x, a, R2_r.point([1, 2]))) + + raises(ValueError, lambda: contravariant_order(R2.e_x + R2.dx)) + raises(ValueError, lambda: covariant_order(R2.e_x + R2.dx)) + + raises(ValueError, lambda: contravariant_order(R2.e_x*R2.e_y)) + raises(ValueError, lambda: covariant_order(R2.dx*R2.dy)) + +def test_simplify(): + x, y = R2_r.coord_functions() + dx, dy = R2_r.base_oneforms() + ex, ey = R2_r.base_vectors() + assert simplify(x) == x + assert simplify(x*y) == x*y + assert simplify(dx*dy) == dx*dy + assert simplify(ex*ey) == ex*ey + assert ((1-x)*dx)/(1-x)**2 == dx/(1-x) + + +def test_issue_17917(): + X = R2.x*R2.e_x - R2.y*R2.e_y + Y = (R2.x**2 + R2.y**2)*R2.e_x - R2.x*R2.y*R2.e_y + assert LieDerivative(X, Y).expand() == ( + R2.x**2*R2.e_x - 3*R2.y**2*R2.e_x - R2.x*R2.y*R2.e_y) + +def test_deprecations(): + m = Manifold('M', 2) + p = Patch('P', m) + with warns_deprecated_sympy(): + CoordSystem('Car2d', p, names=['x', 'y']) + + with warns_deprecated_sympy(): + c = CoordSystem('Car2d', p, ['x', 'y']) + + with warns_deprecated_sympy(): + list(m.patches) + + with warns_deprecated_sympy(): + list(c.transforms) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/diffgeom/tests/test_function_diffgeom_book.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/diffgeom/tests/test_function_diffgeom_book.py new file mode 100644 index 0000000000000000000000000000000000000000..44d9623bc34ab73c7d575d9d9fd5b6d84f8e4a94 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/diffgeom/tests/test_function_diffgeom_book.py @@ -0,0 +1,145 @@ +from sympy.diffgeom.rn import R2, R2_p, R2_r, R3_r +from sympy.diffgeom import intcurve_series, Differential, WedgeProduct +from sympy.core import symbols, Function, Derivative +from sympy.simplify import trigsimp, simplify +from sympy.functions import sqrt, atan2, sin, cos +from sympy.matrices import Matrix + +# Most of the functionality is covered in the +# test_functional_diffgeom_ch* tests which are based on the +# example from the paper of Sussman and Wisdom. +# If they do not cover something, additional tests are added in other test +# functions. + +# From "Functional Differential Geometry" as of 2011 +# by Sussman and Wisdom. + + +def test_functional_diffgeom_ch2(): + x0, y0, r0, theta0 = symbols('x0, y0, r0, theta0', real=True) + x, y = symbols('x, y', real=True) + f = Function('f') + + assert (R2_p.point_to_coords(R2_r.point([x0, y0])) == + Matrix([sqrt(x0**2 + y0**2), atan2(y0, x0)])) + assert (R2_r.point_to_coords(R2_p.point([r0, theta0])) == + Matrix([r0*cos(theta0), r0*sin(theta0)])) + + assert R2_p.jacobian(R2_r, [r0, theta0]) == Matrix( + [[cos(theta0), -r0*sin(theta0)], [sin(theta0), r0*cos(theta0)]]) + + field = f(R2.x, R2.y) + p1_in_rect = R2_r.point([x0, y0]) + p1_in_polar = R2_p.point([sqrt(x0**2 + y0**2), atan2(y0, x0)]) + assert field.rcall(p1_in_rect) == f(x0, y0) + assert field.rcall(p1_in_polar) == f(x0, y0) + + p_r = R2_r.point([x0, y0]) + p_p = R2_p.point([r0, theta0]) + assert R2.x(p_r) == x0 + assert R2.x(p_p) == r0*cos(theta0) + assert R2.r(p_p) == r0 + assert R2.r(p_r) == sqrt(x0**2 + y0**2) + assert R2.theta(p_r) == atan2(y0, x0) + + h = R2.x*R2.r**2 + R2.y**3 + assert h.rcall(p_r) == x0*(x0**2 + y0**2) + y0**3 + assert h.rcall(p_p) == r0**3*sin(theta0)**3 + r0**3*cos(theta0) + + +def test_functional_diffgeom_ch3(): + x0, y0 = symbols('x0, y0', real=True) + x, y, t = symbols('x, y, t', real=True) + f = Function('f') + b1 = Function('b1') + b2 = Function('b2') + p_r = R2_r.point([x0, y0]) + + s_field = f(R2.x, R2.y) + v_field = b1(R2.x)*R2.e_x + b2(R2.y)*R2.e_y + assert v_field.rcall(s_field).rcall(p_r).doit() == b1( + x0)*Derivative(f(x0, y0), x0) + b2(y0)*Derivative(f(x0, y0), y0) + + assert R2.e_x(R2.r**2).rcall(p_r) == 2*x0 + v = R2.e_x + 2*R2.e_y + s = R2.r**2 + 3*R2.x + assert v.rcall(s).rcall(p_r).doit() == 2*x0 + 4*y0 + 3 + + circ = -R2.y*R2.e_x + R2.x*R2.e_y + series = intcurve_series(circ, t, R2_r.point([1, 0]), coeffs=True) + series_x, series_y = zip(*series) + assert all( + term == cos(t).taylor_term(i, t) for i, term in enumerate(series_x)) + assert all( + term == sin(t).taylor_term(i, t) for i, term in enumerate(series_y)) + + +def test_functional_diffgeom_ch4(): + x0, y0, theta0 = symbols('x0, y0, theta0', real=True) + x, y, r, theta = symbols('x, y, r, theta', real=True) + r0 = symbols('r0', positive=True) + f = Function('f') + b1 = Function('b1') + b2 = Function('b2') + p_r = R2_r.point([x0, y0]) + p_p = R2_p.point([r0, theta0]) + + f_field = b1(R2.x, R2.y)*R2.dx + b2(R2.x, R2.y)*R2.dy + assert f_field.rcall(R2.e_x).rcall(p_r) == b1(x0, y0) + assert f_field.rcall(R2.e_y).rcall(p_r) == b2(x0, y0) + + s_field_r = f(R2.x, R2.y) + df = Differential(s_field_r) + assert df(R2.e_x).rcall(p_r).doit() == Derivative(f(x0, y0), x0) + assert df(R2.e_y).rcall(p_r).doit() == Derivative(f(x0, y0), y0) + + s_field_p = f(R2.r, R2.theta) + df = Differential(s_field_p) + assert trigsimp(df(R2.e_x).rcall(p_p).doit()) == ( + cos(theta0)*Derivative(f(r0, theta0), r0) - + sin(theta0)*Derivative(f(r0, theta0), theta0)/r0) + assert trigsimp(df(R2.e_y).rcall(p_p).doit()) == ( + sin(theta0)*Derivative(f(r0, theta0), r0) + + cos(theta0)*Derivative(f(r0, theta0), theta0)/r0) + + assert R2.dx(R2.e_x).rcall(p_r) == 1 + assert R2.dx(R2.e_x) == 1 + assert R2.dx(R2.e_y).rcall(p_r) == 0 + assert R2.dx(R2.e_y) == 0 + + circ = -R2.y*R2.e_x + R2.x*R2.e_y + assert R2.dx(circ).rcall(p_r).doit() == -y0 + assert R2.dy(circ).rcall(p_r) == x0 + assert R2.dr(circ).rcall(p_r) == 0 + assert simplify(R2.dtheta(circ).rcall(p_r)) == 1 + + assert (circ - R2.e_theta).rcall(s_field_r).rcall(p_r) == 0 + + +def test_functional_diffgeom_ch6(): + u0, u1, u2, v0, v1, v2, w0, w1, w2 = symbols('u0:3, v0:3, w0:3', real=True) + + u = u0*R2.e_x + u1*R2.e_y + v = v0*R2.e_x + v1*R2.e_y + wp = WedgeProduct(R2.dx, R2.dy) + assert wp(u, v) == u0*v1 - u1*v0 + + u = u0*R3_r.e_x + u1*R3_r.e_y + u2*R3_r.e_z + v = v0*R3_r.e_x + v1*R3_r.e_y + v2*R3_r.e_z + w = w0*R3_r.e_x + w1*R3_r.e_y + w2*R3_r.e_z + wp = WedgeProduct(R3_r.dx, R3_r.dy, R3_r.dz) + assert wp( + u, v, w) == Matrix(3, 3, [u0, u1, u2, v0, v1, v2, w0, w1, w2]).det() + + a, b, c = symbols('a, b, c', cls=Function) + a_f = a(R3_r.x, R3_r.y, R3_r.z) + b_f = b(R3_r.x, R3_r.y, R3_r.z) + c_f = c(R3_r.x, R3_r.y, R3_r.z) + theta = a_f*R3_r.dx + b_f*R3_r.dy + c_f*R3_r.dz + dtheta = Differential(theta) + da = Differential(a_f) + db = Differential(b_f) + dc = Differential(c_f) + expr = dtheta - WedgeProduct( + da, R3_r.dx) - WedgeProduct(db, R3_r.dy) - WedgeProduct(dc, R3_r.dz) + assert expr.rcall(R3_r.e_x, R3_r.e_y) == 0 diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/diffgeom/tests/test_hyperbolic_space.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/diffgeom/tests/test_hyperbolic_space.py new file mode 100644 index 0000000000000000000000000000000000000000..48ddc7f8065f2b69bcd8eca4726a21c5901514ec --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/diffgeom/tests/test_hyperbolic_space.py @@ -0,0 +1,91 @@ +r''' +unit test describing the hyperbolic half-plane with the Poincare metric. This +is a basic model of hyperbolic geometry on the (positive) half-space + +{(x,y) \in R^2 | y > 0} + +with the Riemannian metric + +ds^2 = (dx^2 + dy^2)/y^2 + +It has constant negative scalar curvature = -2 + +https://en.wikipedia.org/wiki/Poincare_half-plane_model +''' +from sympy.matrices.dense import diag +from sympy.diffgeom import (twoform_to_matrix, + metric_to_Christoffel_1st, metric_to_Christoffel_2nd, + metric_to_Riemann_components, metric_to_Ricci_components) +import sympy.diffgeom.rn +from sympy.tensor.array import ImmutableDenseNDimArray + + +def test_H2(): + TP = sympy.diffgeom.TensorProduct + R2 = sympy.diffgeom.rn.R2 + y = R2.y + dy = R2.dy + dx = R2.dx + g = (TP(dx, dx) + TP(dy, dy))*y**(-2) + automat = twoform_to_matrix(g) + mat = diag(y**(-2), y**(-2)) + assert mat == automat + + gamma1 = metric_to_Christoffel_1st(g) + assert gamma1[0, 0, 0] == 0 + assert gamma1[0, 0, 1] == -y**(-3) + assert gamma1[0, 1, 0] == -y**(-3) + assert gamma1[0, 1, 1] == 0 + + assert gamma1[1, 1, 1] == -y**(-3) + assert gamma1[1, 1, 0] == 0 + assert gamma1[1, 0, 1] == 0 + assert gamma1[1, 0, 0] == y**(-3) + + gamma2 = metric_to_Christoffel_2nd(g) + assert gamma2[0, 0, 0] == 0 + assert gamma2[0, 0, 1] == -y**(-1) + assert gamma2[0, 1, 0] == -y**(-1) + assert gamma2[0, 1, 1] == 0 + + assert gamma2[1, 1, 1] == -y**(-1) + assert gamma2[1, 1, 0] == 0 + assert gamma2[1, 0, 1] == 0 + assert gamma2[1, 0, 0] == y**(-1) + + Rm = metric_to_Riemann_components(g) + assert Rm[0, 0, 0, 0] == 0 + assert Rm[0, 0, 0, 1] == 0 + assert Rm[0, 0, 1, 0] == 0 + assert Rm[0, 0, 1, 1] == 0 + + assert Rm[0, 1, 0, 0] == 0 + assert Rm[0, 1, 0, 1] == -y**(-2) + assert Rm[0, 1, 1, 0] == y**(-2) + assert Rm[0, 1, 1, 1] == 0 + + assert Rm[1, 0, 0, 0] == 0 + assert Rm[1, 0, 0, 1] == y**(-2) + assert Rm[1, 0, 1, 0] == -y**(-2) + assert Rm[1, 0, 1, 1] == 0 + + assert Rm[1, 1, 0, 0] == 0 + assert Rm[1, 1, 0, 1] == 0 + assert Rm[1, 1, 1, 0] == 0 + assert Rm[1, 1, 1, 1] == 0 + + Ric = 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b/tool_server/.venv/lib/python3.12/site-packages/sympy/discrete/tests/test_convolutions.py @@ -0,0 +1,392 @@ +from sympy.core.numbers import (E, Rational, pi) +from sympy.functions.elementary.exponential import exp +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.core import S, symbols, I +from sympy.discrete.convolutions import ( + convolution, convolution_fft, convolution_ntt, convolution_fwht, + convolution_subset, covering_product, intersecting_product, + convolution_int) +from sympy.testing.pytest import raises +from sympy.abc import x, y + +def test_convolution(): + # fft + a = [1, Rational(5, 3), sqrt(3), Rational(7, 5)] + b = [9, 5, 5, 4, 3, 2] + c = [3, 5, 3, 7, 8] + d = [1422, 6572, 3213, 5552] + e = [-1, Rational(5, 3), Rational(7, 5)] + + assert convolution(a, b) == convolution_fft(a, b) + assert convolution(a, b, dps=9) == convolution_fft(a, b, dps=9) + assert convolution(a, d, dps=7) == convolution_fft(d, a, dps=7) + assert convolution(a, d[1:], dps=3) == convolution_fft(d[1:], a, dps=3) + + # prime moduli of the form (m*2**k + 1), sequence length + # should be a divisor of 2**k + p = 7*17*2**23 + 1 + q = 19*2**10 + 1 + + # ntt + assert convolution(d, b, prime=q) == convolution_ntt(b, d, prime=q) + assert convolution(c, b, prime=p) == convolution_ntt(b, c, prime=p) + assert convolution(d, c, prime=p) == convolution_ntt(c, d, prime=p) + raises(TypeError, lambda: convolution(b, d, dps=5, prime=q)) + raises(TypeError, lambda: convolution(b, d, dps=6, prime=q)) + + # fwht + assert convolution(a, b, dyadic=True) == convolution_fwht(a, b) + assert convolution(a, b, dyadic=False) == convolution(a, b) + raises(TypeError, lambda: convolution(b, d, dps=2, dyadic=True)) + raises(TypeError, lambda: convolution(b, d, prime=p, dyadic=True)) + raises(TypeError, lambda: convolution(a, b, dps=2, dyadic=True)) + raises(TypeError, lambda: convolution(b, c, prime=p, dyadic=True)) + + # subset + assert convolution(a, b, subset=True) == convolution_subset(a, b) == \ + convolution(a, b, subset=True, dyadic=False) == \ + convolution(a, b, subset=True) + assert convolution(a, b, subset=False) == convolution(a, b) + raises(TypeError, lambda: convolution(a, b, subset=True, dyadic=True)) + raises(TypeError, lambda: convolution(c, d, subset=True, dps=6)) + raises(TypeError, lambda: convolution(a, c, subset=True, prime=q)) + + # integer + assert convolution([0], [0]) == convolution_int([0], [0]) + assert convolution(b, c) == convolution_int(b, c) + + # rational + assert convolution([Rational(1,2)], [Rational(1,2)]) == [Rational(1, 4)] + assert convolution(b, e) == [-9, 10, Rational(239, 15), Rational(34, 3), + Rational(32, 3), Rational(43, 5), Rational(113, 15), + Rational(14, 5)] + + +def test_cyclic_convolution(): + # fft + a = [1, Rational(5, 3), sqrt(3), Rational(7, 5)] + b = [9, 5, 5, 4, 3, 2] + + assert convolution([1, 2, 3], [4, 5, 6], cycle=0) == \ + convolution([1, 2, 3], [4, 5, 6], cycle=5) == \ + convolution([1, 2, 3], [4, 5, 6]) + + assert convolution([1, 2, 3], [4, 5, 6], cycle=3) == [31, 31, 28] + + a = [Rational(1, 3), Rational(7, 3), Rational(5, 9), Rational(2, 7), Rational(5, 8)] + b = [Rational(3, 5), Rational(4, 7), Rational(7, 8), Rational(8, 9)] + + assert convolution(a, b, cycle=0) == \ + convolution(a, b, cycle=len(a) + len(b) - 1) + + assert convolution(a, b, cycle=4) == [Rational(87277, 26460), Rational(30521, 11340), + Rational(11125, 4032), Rational(3653, 1080)] + + assert convolution(a, b, cycle=6) == [Rational(20177, 20160), Rational(676, 315), Rational(47, 24), + Rational(3053, 1080), Rational(16397, 5292), Rational(2497, 2268)] + + assert convolution(a, b, cycle=9) == \ + convolution(a, b, cycle=0) + [S.Zero] + + # ntt + a = [2313, 5323532, S(3232), 42142, 42242421] + b = [S(33456), 56757, 45754, 432423] + + assert convolution(a, b, prime=19*2**10 + 1, cycle=0) == \ + convolution(a, b, prime=19*2**10 + 1, cycle=8) == \ + convolution(a, b, prime=19*2**10 + 1) + + assert convolution(a, b, prime=19*2**10 + 1, cycle=5) == [96, 17146, 2664, + 15534, 3517] + + assert convolution(a, b, prime=19*2**10 + 1, cycle=7) == [4643, 3458, 1260, + 15534, 3517, 16314, 13688] + + assert convolution(a, b, prime=19*2**10 + 1, cycle=9) == \ + convolution(a, b, prime=19*2**10 + 1) + [0] + + # fwht + u, v, w, x, y = symbols('u v w x y') + p, q, r, s, t = symbols('p q r s t') + c = [u, v, w, x, y] + d = [p, q, r, s, t] + + assert convolution(a, b, dyadic=True, cycle=3) == \ + [2499522285783, 19861417974796, 4702176579021] + + assert convolution(a, b, dyadic=True, cycle=5) == [2718149225143, + 2114320852171, 20571217906407, 246166418903, 1413262436976] + + assert convolution(c, d, dyadic=True, cycle=4) == \ + [p*u + p*y + q*v + r*w + s*x + t*u + t*y, + p*v + q*u + q*y + r*x + s*w + t*v, + p*w + q*x + r*u + r*y + s*v + t*w, + p*x + q*w + r*v + s*u + s*y + t*x] + + assert convolution(c, d, dyadic=True, cycle=6) == \ + [p*u + q*v + r*w + r*y + s*x + t*w + t*y, + p*v + q*u + r*x + s*w + s*y + t*x, + p*w + q*x + r*u + s*v, + p*x + q*w + r*v + s*u, + p*y + t*u, + q*y + t*v] + + # subset + assert convolution(a, b, subset=True, cycle=7) == [18266671799811, + 178235365533, 213958794, 246166418903, 1413262436976, + 2397553088697, 1932759730434] + + assert convolution(a[1:], b, subset=True, cycle=4) == \ + [178104086592, 302255835516, 244982785880, 3717819845434] + + assert convolution(a, b[:-1], subset=True, cycle=6) == [1932837114162, + 178235365533, 213958794, 245166224504, 1413262436976, 2397553088697] + + assert convolution(c, d, subset=True, cycle=3) == \ + [p*u + p*x + q*w + r*v + r*y + s*u + t*w, + p*v + p*y + q*u + s*y + t*u + t*x, + p*w + q*y + r*u + t*v] + + assert convolution(c, d, subset=True, cycle=5) == \ + [p*u + q*y + t*v, + p*v + q*u + r*y + t*w, + p*w + r*u + s*y + t*x, + p*x + q*w + r*v + s*u, + p*y + t*u] + + raises(ValueError, lambda: convolution([1, 2, 3], [4, 5, 6], cycle=-1)) + + +def test_convolution_fft(): + assert all(convolution_fft([], x, dps=y) == [] for x in ([], [1]) for y in (None, 3)) + assert convolution_fft([1, 2, 3], [4, 5, 6]) == [4, 13, 28, 27, 18] + assert convolution_fft([1], [5, 6, 7]) == [5, 6, 7] + assert convolution_fft([1, 3], [5, 6, 7]) == [5, 21, 25, 21] + + assert convolution_fft([1 + 2*I], [2 + 3*I]) == [-4 + 7*I] + assert convolution_fft([1 + 2*I, 3 + 4*I, 5 + 3*I/5], [Rational(2, 5) + 4*I/7]) == \ + [Rational(-26, 35) + I*48/35, Rational(-38, 35) + I*116/35, Rational(58, 35) + I*542/175] + + assert convolution_fft([Rational(3, 4), Rational(5, 6)], [Rational(7, 8), Rational(1, 3), Rational(2, 5)]) == \ + [Rational(21, 32), Rational(47, 48), Rational(26, 45), Rational(1, 3)] + + assert convolution_fft([Rational(1, 9), Rational(2, 3), Rational(3, 5)], [Rational(2, 5), Rational(3, 7), Rational(4, 9)]) == \ + [Rational(2, 45), Rational(11, 35), Rational(8152, 14175), Rational(523, 945), Rational(4, 15)] + + assert convolution_fft([pi, E, sqrt(2)], [sqrt(3), 1/pi, 1/E]) == \ + [sqrt(3)*pi, 1 + sqrt(3)*E, E/pi + pi*exp(-1) + sqrt(6), + sqrt(2)/pi + 1, sqrt(2)*exp(-1)] + + assert convolution_fft([2321, 33123], [5321, 6321, 71323]) == \ + [12350041, 190918524, 374911166, 2362431729] + + assert convolution_fft([312313, 31278232], [32139631, 319631]) == \ + [10037624576503, 1005370659728895, 9997492572392] + + raises(TypeError, lambda: convolution_fft(x, y)) + raises(ValueError, lambda: convolution_fft([x, y], [y, x])) + + +def test_convolution_ntt(): + # prime moduli of the form (m*2**k + 1), sequence length + # should be a divisor of 2**k + p = 7*17*2**23 + 1 + q = 19*2**10 + 1 + r = 2*500000003 + 1 # only for sequences of length 1 or 2 + # s = 2*3*5*7 # composite modulus + + assert all(convolution_ntt([], x, prime=y) == [] for x in ([], [1]) for y in (p, q, r)) + assert convolution_ntt([2], [3], r) == [6] + assert convolution_ntt([2, 3], [4], r) == [8, 12] + + assert convolution_ntt([32121, 42144, 4214, 4241], [32132, 3232, 87242], p) == [33867619, + 459741727, 79180879, 831885249, 381344700, 369993322] + assert convolution_ntt([121913, 3171831, 31888131, 12], [17882, 21292, 29921, 312], q) == \ + [8158, 3065, 3682, 7090, 1239, 2232, 3744] + + assert convolution_ntt([12, 19, 21, 98, 67], [2, 6, 7, 8, 9], p) == \ + convolution_ntt([12, 19, 21, 98, 67], [2, 6, 7, 8, 9], q) + assert convolution_ntt([12, 19, 21, 98, 67], [21, 76, 17, 78, 69], p) == \ + convolution_ntt([12, 19, 21, 98, 67], [21, 76, 17, 78, 69], q) + + raises(ValueError, lambda: convolution_ntt([2, 3], [4, 5], r)) + raises(ValueError, lambda: convolution_ntt([x, y], [y, x], q)) + raises(TypeError, lambda: convolution_ntt(x, y, p)) + + +def test_convolution_fwht(): + assert convolution_fwht([], []) == [] + assert convolution_fwht([], [1]) == [] + assert convolution_fwht([1, 2, 3], [4, 5, 6]) == [32, 13, 18, 27] + + assert convolution_fwht([Rational(5, 7), Rational(6, 8), Rational(7, 3)], [2, 4, Rational(6, 7)]) == \ + [Rational(45, 7), Rational(61, 14), Rational(776, 147), Rational(419, 42)] + + a = [1, Rational(5, 3), sqrt(3), Rational(7, 5), 4 + 5*I] + b = [94, 51, 53, 45, 31, 27, 13] + c = [3 + 4*I, 5 + 7*I, 3, Rational(7, 6), 8] + + assert convolution_fwht(a, b) == [53*sqrt(3) + 366 + 155*I, + 45*sqrt(3) + Rational(5848, 15) + 135*I, + 94*sqrt(3) + Rational(1257, 5) + 65*I, + 51*sqrt(3) + Rational(3974, 15), + 13*sqrt(3) + 452 + 470*I, + Rational(4513, 15) + 255*I, + 31*sqrt(3) + Rational(1314, 5) + 265*I, + 27*sqrt(3) + Rational(3676, 15) + 225*I] + + assert convolution_fwht(b, c) == [Rational(1993, 2) + 733*I, Rational(6215, 6) + 862*I, + Rational(1659, 2) + 527*I, Rational(1988, 3) + 551*I, 1019 + 313*I, Rational(3955, 6) + 325*I, + Rational(1175, 2) + 52*I, Rational(3253, 6) + 91*I] + + assert convolution_fwht(a[3:], c) == [Rational(-54, 5) + I*293/5, -1 + I*204/5, + Rational(133, 15) + I*35/6, Rational(409, 30) + 15*I, Rational(56, 5), 32 + 40*I, 0, 0] + + u, v, w, x, y, z = symbols('u v w x y z') + + assert convolution_fwht([u, v], [x, y]) == [u*x + v*y, u*y + v*x] + + assert convolution_fwht([u, v, w], [x, y]) == \ + [u*x + v*y, u*y + v*x, w*x, w*y] + + assert convolution_fwht([u, v, w], [x, y, z]) == \ + [u*x + v*y + w*z, u*y + v*x, u*z + w*x, v*z + w*y] + + raises(TypeError, lambda: convolution_fwht(x, y)) + raises(TypeError, lambda: convolution_fwht(x*y, u + v)) + + +def test_convolution_subset(): + assert convolution_subset([], []) == [] + assert convolution_subset([], [Rational(1, 3)]) == [] + assert convolution_subset([6 + I*3/7], [Rational(2, 3)]) == [4 + I*2/7] + + a = [1, Rational(5, 3), sqrt(3), 4 + 5*I] + b = [64, 71, 55, 47, 33, 29, 15] + c = [3 + I*2/3, 5 + 7*I, 7, Rational(7, 5), 9] + + assert convolution_subset(a, b) == [64, Rational(533, 3), 55 + 64*sqrt(3), + 71*sqrt(3) + Rational(1184, 3) + 320*I, 33, 84, + 15 + 33*sqrt(3), 29*sqrt(3) + 157 + 165*I] + + assert convolution_subset(b, c) == [192 + I*128/3, 533 + I*1486/3, + 613 + I*110/3, Rational(5013, 5) + I*1249/3, + 675 + 22*I, 891 + I*751/3, + 771 + 10*I, Rational(3736, 5) + 105*I] + + assert convolution_subset(a, c) == convolution_subset(c, a) + assert convolution_subset(a[:2], b) == \ + [64, Rational(533, 3), 55, Rational(416, 3), 33, 84, 15, 25] + + assert convolution_subset(a[:2], c) == \ + [3 + I*2/3, 10 + I*73/9, 7, Rational(196, 15), 9, 15, 0, 0] + + u, v, w, x, y, z = symbols('u v w x y z') + + assert convolution_subset([u, v, w], [x, y]) == [u*x, u*y + v*x, w*x, w*y] + assert convolution_subset([u, v, w, x], [y, z]) == \ + [u*y, u*z + v*y, w*y, w*z + x*y] + + assert convolution_subset([u, v], [x, y, z]) == \ + convolution_subset([x, y, z], [u, v]) + + raises(TypeError, lambda: convolution_subset(x, z)) + raises(TypeError, lambda: convolution_subset(Rational(7, 3), u)) + + +def test_covering_product(): + assert covering_product([], []) == [] + assert covering_product([], [Rational(1, 3)]) == [] + assert covering_product([6 + I*3/7], [Rational(2, 3)]) == [4 + I*2/7] + + a = [1, Rational(5, 8), sqrt(7), 4 + 9*I] + b = [66, 81, 95, 49, 37, 89, 17] + c = [3 + I*2/3, 51 + 72*I, 7, Rational(7, 15), 91] + + assert covering_product(a, b) == [66, Rational(1383, 8), 95 + 161*sqrt(7), + 130*sqrt(7) + 1303 + 2619*I, 37, + Rational(671, 4), 17 + 54*sqrt(7), + 89*sqrt(7) + Rational(4661, 8) + 1287*I] + + assert covering_product(b, c) == [198 + 44*I, 7740 + 10638*I, + 1412 + I*190/3, Rational(42684, 5) + I*31202/3, + 9484 + I*74/3, 22163 + I*27394/3, + 10621 + I*34/3, Rational(90236, 15) + 1224*I] + + assert covering_product(a, c) == covering_product(c, a) + assert covering_product(b, c[:-1]) == [198 + 44*I, 7740 + 10638*I, + 1412 + I*190/3, Rational(42684, 5) + I*31202/3, + 111 + I*74/3, 6693 + I*27394/3, + 429 + I*34/3, Rational(23351, 15) + 1224*I] + + assert covering_product(a, c[:-1]) == [3 + I*2/3, + Rational(339, 4) + I*1409/12, 7 + 10*sqrt(7) + 2*sqrt(7)*I/3, + -403 + 772*sqrt(7)/15 + 72*sqrt(7)*I + I*12658/15] + + u, v, w, x, y, z = symbols('u v w x y z') + + assert covering_product([u, v, w], [x, y]) == \ + [u*x, u*y + v*x + v*y, w*x, w*y] + + assert covering_product([u, v, w, x], [y, z]) == \ + [u*y, u*z + v*y + v*z, w*y, w*z + x*y + x*z] + + assert covering_product([u, v], [x, y, z]) == \ + covering_product([x, y, z], [u, v]) + + raises(TypeError, lambda: covering_product(x, z)) + raises(TypeError, lambda: covering_product(Rational(7, 3), u)) + + +def test_intersecting_product(): + assert intersecting_product([], []) == [] + assert intersecting_product([], [Rational(1, 3)]) == [] + assert intersecting_product([6 + I*3/7], [Rational(2, 3)]) == [4 + I*2/7] + + a = [1, sqrt(5), Rational(3, 8) + 5*I, 4 + 7*I] + b = [67, 51, 65, 48, 36, 79, 27] + c = [3 + I*2/5, 5 + 9*I, 7, Rational(7, 19), 13] + + assert intersecting_product(a, b) == [195*sqrt(5) + Rational(6979, 8) + 1886*I, + 178*sqrt(5) + 520 + 910*I, Rational(841, 2) + 1344*I, + 192 + 336*I, 0, 0, 0, 0] + + assert intersecting_product(b, c) == [Rational(128553, 19) + I*9521/5, + Rational(17820, 19) + 1602*I, Rational(19264, 19), Rational(336, 19), 1846, 0, 0, 0] + + assert intersecting_product(a, c) == intersecting_product(c, a) + assert intersecting_product(b[1:], c[:-1]) == [Rational(64788, 19) + I*8622/5, + Rational(12804, 19) + 1152*I, Rational(11508, 19), Rational(252, 19), 0, 0, 0, 0] + + assert intersecting_product(a, c[:-2]) == \ + [Rational(-99, 5) + 10*sqrt(5) + 2*sqrt(5)*I/5 + I*3021/40, + -43 + 5*sqrt(5) + 9*sqrt(5)*I + 71*I, Rational(245, 8) + 84*I, 0] + + u, v, w, x, y, z = symbols('u v w x y z') + + assert intersecting_product([u, v, w], [x, y]) == \ + [u*x + u*y + v*x + w*x + w*y, v*y, 0, 0] + + assert intersecting_product([u, v, w, x], [y, z]) == \ + [u*y + u*z + v*y + w*y + w*z + x*y, v*z + x*z, 0, 0] + + assert intersecting_product([u, v], [x, y, z]) == \ + intersecting_product([x, y, z], [u, v]) + + raises(TypeError, lambda: intersecting_product(x, z)) + raises(TypeError, lambda: intersecting_product(u, Rational(8, 3))) + + +def test_convolution_int(): + assert convolution_int([1], [1]) == [1] + assert convolution_int([1, 1], [0]) == [0] + assert convolution_int([1, 2, 3], [4, 5, 6]) == [4, 13, 28, 27, 18] + assert convolution_int([1], [5, 6, 7]) == [5, 6, 7] + assert convolution_int([1, 3], [5, 6, 7]) == [5, 21, 25, 21] + assert convolution_int([10, -5, 1, 3], [-5, 6, 7]) == [-50, 85, 35, -44, 25, 21] + assert convolution_int([0, 1, 0, -1], [1, 0, -1, 0]) == [0, 1, 0, -2, 0, 1] + assert convolution_int( + [-341, -5, 1, 3, -71, -99, 43, 87], + [5, 6, 7, 12, 345, 21, -78, -7, -89] + ) == [-1705, -2071, -2412, -4106, -118035, -9774, 25998, 2981, 5509, + -34317, 19228, 38870, 5485, 1724, -4436, -7743] diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/discrete/tests/test_recurrences.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/discrete/tests/test_recurrences.py new file mode 100644 index 0000000000000000000000000000000000000000..2c2186ca525b6680350a03edbe44ca88f8f95c3c --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/discrete/tests/test_recurrences.py @@ -0,0 +1,59 @@ +from sympy.core.numbers import Rational +from sympy.functions.combinatorial.numbers import fibonacci +from sympy.core import S, symbols +from sympy.testing.pytest import raises +from sympy.discrete.recurrences import linrec + +def test_linrec(): + assert linrec(coeffs=[1, 1], init=[1, 1], n=20) == 10946 + assert linrec(coeffs=[1, 2, 3, 4, 5], init=[1, 1, 0, 2], n=10) == 1040 + assert linrec(coeffs=[0, 0, 11, 13], init=[23, 27], n=25) == 59628567384 + assert linrec(coeffs=[0, 0, 1, 1, 2], init=[1, 5, 3], n=15) == 165 + assert linrec(coeffs=[11, 13, 15, 17], init=[1, 2, 3, 4], n=70) == \ + 56889923441670659718376223533331214868804815612050381493741233489928913241 + assert linrec(coeffs=[0]*55 + [1, 1, 2, 3], init=[0]*50 + [1, 2, 3], n=4000) == \ + 702633573874937994980598979769135096432444135301118916539 + + assert linrec(coeffs=[11, 13, 15, 17], init=[1, 2, 3, 4], n=10**4) + assert linrec(coeffs=[11, 13, 15, 17], init=[1, 2, 3, 4], n=10**5) + + assert all(linrec(coeffs=[1, 1], init=[0, 1], n=n) == fibonacci(n) + for n in range(95, 115)) + + assert all(linrec(coeffs=[1, 1], init=[1, 1], n=n) == fibonacci(n + 1) + for n in range(595, 615)) + + a = [S.Half, Rational(3, 4), Rational(5, 6), 7, Rational(8, 9), Rational(3, 5)] + b = [1, 2, 8, Rational(5, 7), Rational(3, 7), Rational(2, 9), 6] + x, y, z = symbols('x y z') + + assert linrec(coeffs=a[:5], init=b[:4], n=80) == \ + Rational(1726244235456268979436592226626304376013002142588105090705187189, + 1960143456748895967474334873705475211264) + + assert linrec(coeffs=a[:4], init=b[:4], n=50) == \ + Rational(368949940033050147080268092104304441, 504857282956046106624) + + assert linrec(coeffs=a[3:], init=b[:3], n=35) == \ + Rational(97409272177295731943657945116791049305244422833125109, + 814315512679031689453125) + + assert linrec(coeffs=[0]*60 + [Rational(2, 3), Rational(4, 5)], init=b, n=3000) == \ + Rational(26777668739896791448594650497024, 48084516708184142230517578125) + + raises(TypeError, lambda: linrec(coeffs=[11, 13, 15, 17], init=[1, 2, 3, 4, 5], n=1)) + raises(TypeError, lambda: linrec(coeffs=a[:4], init=b[:5], n=10000)) + raises(ValueError, lambda: linrec(coeffs=a[:4], init=b[:4], n=-10000)) + raises(TypeError, lambda: linrec(x, b, n=10000)) + raises(TypeError, lambda: linrec(a, y, n=10000)) + + assert linrec(coeffs=[x, y, z], init=[1, 1, 1], n=4) == \ + x**2 + x*y + x*z + y + z + assert linrec(coeffs=[1, 2, 1], init=[x, y, z], n=20) == \ + 269542*x + 664575*y + 578949*z + assert linrec(coeffs=[0, 3, 1, 2], init=[x, y], n=30) == \ + 58516436*x + 56372788*y + assert linrec(coeffs=[0]*50 + [1, 2, 3], init=[x, y, z], n=1000) == \ + 11477135884896*x + 25999077948732*y + 41975630244216*z + assert linrec(coeffs=[], init=[1, 1], n=20) == 0 + assert linrec(coeffs=[x, y, z], init=[1, 2, 3], n=2) == 3 diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/discrete/tests/test_transforms.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/discrete/tests/test_transforms.py new file mode 100644 index 0000000000000000000000000000000000000000..385514be4cdec2f19cf3a750bdbe0f4f6e21cc6e --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/discrete/tests/test_transforms.py @@ -0,0 +1,154 @@ +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.core import S, Symbol, symbols, I, Rational +from sympy.discrete import (fft, ifft, ntt, intt, fwht, ifwht, + mobius_transform, inverse_mobius_transform) +from sympy.testing.pytest import raises + + +def test_fft_ifft(): + assert all(tf(ls) == ls for tf in (fft, ifft) + for ls in ([], [Rational(5, 3)])) + + ls = list(range(6)) + fls = [15, -7*sqrt(2)/2 - 4 - sqrt(2)*I/2 + 2*I, 2 + 3*I, + -4 + 7*sqrt(2)/2 - 2*I - sqrt(2)*I/2, -3, + -4 + 7*sqrt(2)/2 + sqrt(2)*I/2 + 2*I, + 2 - 3*I, -7*sqrt(2)/2 - 4 - 2*I + sqrt(2)*I/2] + + assert fft(ls) == fls + assert ifft(fls) == ls + [S.Zero]*2 + + ls = [1 + 2*I, 3 + 4*I, 5 + 6*I] + ifls = [Rational(9, 4) + 3*I, I*Rational(-7, 4), Rational(3, 4) + I, -2 - I/4] + + assert ifft(ls) == ifls + assert fft(ifls) == ls + [S.Zero] + + x = Symbol('x', real=True) + raises(TypeError, lambda: fft(x)) + raises(ValueError, lambda: ifft([x, 2*x, 3*x**2, 4*x**3])) + + +def test_ntt_intt(): + # prime moduli of the form (m*2**k + 1), sequence length + # should be a divisor of 2**k + p = 7*17*2**23 + 1 + q = 2*500000003 + 1 # only for sequences of length 1 or 2 + r = 2*3*5*7 # composite modulus + + assert all(tf(ls, p) == ls for tf in (ntt, intt) + for ls in ([], [5])) + + ls = list(range(6)) + nls = [15, 801133602, 738493201, 334102277, 998244350, 849020224, + 259751156, 12232587] + + assert ntt(ls, p) == nls + assert intt(nls, p) == ls + [0]*2 + + ls = [1 + 2*I, 3 + 4*I, 5 + 6*I] + x = Symbol('x', integer=True) + + raises(TypeError, lambda: ntt(x, p)) + raises(ValueError, lambda: intt([x, 2*x, 3*x**2, 4*x**3], p)) + raises(ValueError, lambda: intt(ls, p)) + raises(ValueError, lambda: ntt([1.2, 2.1, 3.5], p)) + raises(ValueError, lambda: ntt([3, 5, 6], q)) + raises(ValueError, lambda: ntt([4, 5, 7], r)) + raises(ValueError, lambda: ntt([1.0, 2.0, 3.0], p)) + + +def test_fwht_ifwht(): + assert all(tf(ls) == ls for tf in (fwht, ifwht) \ + for ls in ([], [Rational(7, 4)])) + + ls = [213, 321, 43235, 5325, 312, 53] + fls = [49459, 38061, -47661, -37759, 48729, 37543, -48391, -38277] + + assert fwht(ls) == fls + assert ifwht(fls) == ls + [S.Zero]*2 + + ls = [S.Half + 2*I, Rational(3, 7) + 4*I, Rational(5, 6) + 6*I, Rational(7, 3), Rational(9, 4)] + ifls = [Rational(533, 672) + I*3/2, Rational(23, 224) + I/2, Rational(1, 672), Rational(107, 224) - I, + Rational(155, 672) + I*3/2, Rational(-103, 224) + I/2, Rational(-377, 672), Rational(-19, 224) - I] + + assert ifwht(ls) == ifls + assert fwht(ifls) == ls + [S.Zero]*3 + + x, y = symbols('x y') + + raises(TypeError, lambda: fwht(x)) + + ls = [x, 2*x, 3*x**2, 4*x**3] + ifls = [x**3 + 3*x**2/4 + x*Rational(3, 4), + -x**3 + 3*x**2/4 - x/4, + -x**3 - 3*x**2/4 + x*Rational(3, 4), + x**3 - 3*x**2/4 - x/4] + + assert ifwht(ls) == ifls + assert fwht(ifls) == ls + + ls = [x, y, x**2, y**2, x*y] + fls = [x**2 + x*y + x + y**2 + y, + x**2 + x*y + x - y**2 - y, + -x**2 + x*y + x - y**2 + y, + -x**2 + x*y + x + y**2 - y, + x**2 - x*y + x + y**2 + y, + x**2 - x*y + x - y**2 - y, + -x**2 - x*y + x - y**2 + y, + -x**2 - x*y + x + y**2 - y] + + assert fwht(ls) == fls + assert ifwht(fls) == ls + [S.Zero]*3 + + ls = list(range(6)) + + assert fwht(ls) == [x*8 for x in ifwht(ls)] + + +def test_mobius_transform(): + assert all(tf(ls, subset=subset) == ls + for ls in ([], [Rational(7, 4)]) for subset in (True, False) + for tf in (mobius_transform, inverse_mobius_transform)) + + w, x, y, z = symbols('w x y z') + + assert mobius_transform([x, y]) == [x, x + y] + assert inverse_mobius_transform([x, x + y]) == [x, y] + assert mobius_transform([x, y], subset=False) == [x + y, y] + assert inverse_mobius_transform([x + y, y], subset=False) == [x, y] + + assert mobius_transform([w, x, y, z]) == [w, w + x, w + y, w + x + y + z] + assert inverse_mobius_transform([w, w + x, w + y, w + x + y + z]) == \ + [w, x, y, z] + assert mobius_transform([w, x, y, z], subset=False) == \ + [w + x + y + z, x + z, y + z, z] + assert inverse_mobius_transform([w + x + y + z, x + z, y + z, z], subset=False) == \ + [w, x, y, z] + + ls = [Rational(2, 3), Rational(6, 7), Rational(5, 8), 9, Rational(5, 3) + 7*I] + mls = [Rational(2, 3), Rational(32, 21), Rational(31, 24), Rational(1873, 168), + Rational(7, 3) + 7*I, Rational(67, 21) + 7*I, Rational(71, 24) + 7*I, + Rational(2153, 168) + 7*I] + + assert mobius_transform(ls) == mls + assert inverse_mobius_transform(mls) == ls + [S.Zero]*3 + + mls = [Rational(2153, 168) + 7*I, Rational(69, 7), Rational(77, 8), 9, Rational(5, 3) + 7*I, 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b/tool_server/.venv/lib/python3.12/site-packages/sympy/external/tests/test_autowrap.py new file mode 100644 index 0000000000000000000000000000000000000000..d469b552995b7625f786f3296089e41f42da75cb --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/external/tests/test_autowrap.py @@ -0,0 +1,313 @@ +import sympy +import tempfile +import os +from pathlib import Path +from sympy.core.mod import Mod +from sympy.core.relational import Eq +from sympy.core.symbol import symbols +from sympy.external import import_module +from sympy.tensor import IndexedBase, Idx +from sympy.utilities.autowrap import autowrap, ufuncify, CodeWrapError +from sympy.testing.pytest import skip + +numpy = import_module('numpy', min_module_version='1.6.1') +Cython = import_module('Cython', min_module_version='0.15.1') +f2py = import_module('numpy.f2py', import_kwargs={'fromlist': ['f2py']}) + +f2pyworks = False +if f2py: + try: + autowrap(symbols('x'), 'f95', 'f2py') + except (CodeWrapError, ImportError, OSError): + f2pyworks = False + else: + f2pyworks = True + +a, b, c = symbols('a b c') +n, m, d = symbols('n m d', integer=True) +A, B, C = symbols('A B C', cls=IndexedBase) +i = Idx('i', m) +j = Idx('j', n) +k = Idx('k', d) + + +def has_module(module): + """ + Return True if module exists, otherwise run skip(). + + module should be a string. + """ + # To give a string of the module name to skip(), this function takes a + # string. So we don't waste time running import_module() more than once, + # just map the three modules tested here in this dict. + modnames = {'numpy': numpy, 'Cython': Cython, 'f2py': f2py} + + if modnames[module]: + if module == 'f2py' and not f2pyworks: + skip("Couldn't run f2py.") + return True + skip("Couldn't import %s." % module) + +# +# test runners used by several language-backend combinations +# + +def runtest_autowrap_twice(language, backend): + f = autowrap((((a + b)/c)**5).expand(), language, backend) + g = autowrap((((a + b)/c)**4).expand(), language, backend) + + # check that autowrap updates the module name. Else, g gives the same as f + assert f(1, -2, 1) == -1.0 + assert g(1, -2, 1) == 1.0 + + +def runtest_autowrap_trace(language, backend): + has_module('numpy') + trace = autowrap(A[i, i], language, backend) + assert trace(numpy.eye(100)) == 100 + + +def runtest_autowrap_matrix_vector(language, backend): + has_module('numpy') + x, y = symbols('x y', cls=IndexedBase) + expr = Eq(y[i], A[i, j]*x[j]) + mv = autowrap(expr, language, backend) + + # compare with numpy's dot product + M = numpy.random.rand(10, 20) + x = numpy.random.rand(20) + y = numpy.dot(M, x) + assert numpy.sum(numpy.abs(y - mv(M, x))) < 1e-13 + + +def runtest_autowrap_matrix_matrix(language, backend): + has_module('numpy') + expr = Eq(C[i, j], A[i, k]*B[k, j]) + matmat = autowrap(expr, language, backend) + + # compare with numpy's dot product + M1 = numpy.random.rand(10, 20) + M2 = numpy.random.rand(20, 15) + M3 = numpy.dot(M1, M2) + assert numpy.sum(numpy.abs(M3 - matmat(M1, M2))) < 1e-13 + + +def runtest_ufuncify(language, backend): + has_module('numpy') + a, b, c = symbols('a b c') + fabc = ufuncify([a, b, c], a*b + c, backend=backend) + facb = ufuncify([a, c, b], a*b + c, backend=backend) + grid = numpy.linspace(-2, 2, 50) + b = numpy.linspace(-5, 4, 50) + c = numpy.linspace(-1, 1, 50) + expected = grid*b + c + numpy.testing.assert_allclose(fabc(grid, b, c), expected) + numpy.testing.assert_allclose(facb(grid, c, b), expected) + + +def runtest_issue_10274(language, backend): + expr = (a - b + c)**(13) + tmp = tempfile.mkdtemp() + f = autowrap(expr, language, backend, tempdir=tmp, + helpers=('helper', a - b + c, (a, b, c))) + assert f(1, 1, 1) == 1 + + for file in os.listdir(tmp): + if not (file.startswith("wrapped_code_") and file.endswith(".c")): + continue + + with open(tmp + '/' + file) as fil: + lines = fil.readlines() + assert lines[0] == "/******************************************************************************\n" + assert "Code generated with SymPy " + sympy.__version__ in lines[1] + assert lines[2:] == [ + " * *\n", + " * See http://www.sympy.org/ for more information. *\n", + " * *\n", + " * This file is part of 'autowrap' *\n", + " ******************************************************************************/\n", + "#include " + '"' + file[:-1]+ 'h"' + "\n", + "#include \n", + "\n", + "double helper(double a, double b, double c) {\n", + "\n", + " double helper_result;\n", + " helper_result = a - b + c;\n", + " return helper_result;\n", + "\n", + "}\n", + "\n", + "double autofunc(double a, double b, double c) {\n", + "\n", + " double autofunc_result;\n", + " autofunc_result = pow(helper(a, b, c), 13);\n", + " return autofunc_result;\n", + "\n", + "}\n", + ] + + +def runtest_issue_15337(language, backend): + has_module('numpy') + # NOTE : autowrap was originally designed to only accept an iterable for + # the kwarg "helpers", but in issue 10274 the user mistakenly thought that + # if there was only a single helper it did not need to be passed via an + # iterable that wrapped the helper tuple. There were no tests for this + # behavior so when the code was changed to accept a single tuple it broke + # the original behavior. These tests below ensure that both now work. + a, b, c, d, e = symbols('a, b, c, d, e') + expr = (a - b + c - d + e)**13 + exp_res = (1. - 2. + 3. - 4. + 5.)**13 + + f = autowrap(expr, language, backend, args=(a, b, c, d, e), + helpers=('f1', a - b + c, (a, b, c))) + numpy.testing.assert_allclose(f(1, 2, 3, 4, 5), exp_res) + + f = autowrap(expr, language, backend, args=(a, b, c, d, e), + helpers=(('f1', a - b, (a, b)), ('f2', c - d, (c, d)))) + numpy.testing.assert_allclose(f(1, 2, 3, 4, 5), exp_res) + + +def test_issue_15230(): + has_module('f2py') + + x, y = symbols('x, y') + expr = Mod(x, 3.0) - Mod(y, -2.0) + f = autowrap(expr, args=[x, y], language='F95') + exp_res = float(expr.xreplace({x: 3.5, y: 2.7}).evalf()) + assert abs(f(3.5, 2.7) - exp_res) < 1e-14 + + x, y = symbols('x, y', integer=True) + expr = Mod(x, 3) - Mod(y, -2) + f = autowrap(expr, args=[x, y], language='F95') + assert f(3, 2) == expr.xreplace({x: 3, y: 2}) + +# +# tests of language-backend combinations +# + +# f2py + + +def test_wrap_twice_f95_f2py(): + has_module('f2py') + runtest_autowrap_twice('f95', 'f2py') + + +def test_autowrap_trace_f95_f2py(): + has_module('f2py') + runtest_autowrap_trace('f95', 'f2py') + + +def test_autowrap_matrix_vector_f95_f2py(): + has_module('f2py') + runtest_autowrap_matrix_vector('f95', 'f2py') + + +def test_autowrap_matrix_matrix_f95_f2py(): + has_module('f2py') + runtest_autowrap_matrix_matrix('f95', 'f2py') + + +def test_ufuncify_f95_f2py(): + has_module('f2py') + runtest_ufuncify('f95', 'f2py') + + +def test_issue_15337_f95_f2py(): + has_module('f2py') + runtest_issue_15337('f95', 'f2py') + +# Cython + + +def test_wrap_twice_c_cython(): + has_module('Cython') + runtest_autowrap_twice('C', 'cython') + + +def test_autowrap_trace_C_Cython(): + has_module('Cython') + runtest_autowrap_trace('C99', 'cython') + + +def test_autowrap_matrix_vector_C_cython(): + has_module('Cython') + runtest_autowrap_matrix_vector('C99', 'cython') + + +def test_autowrap_matrix_matrix_C_cython(): + has_module('Cython') + runtest_autowrap_matrix_matrix('C99', 'cython') + + +def test_ufuncify_C_Cython(): + has_module('Cython') + runtest_ufuncify('C99', 'cython') + + +def test_issue_10274_C_cython(): + has_module('Cython') + runtest_issue_10274('C89', 'cython') + + +def test_issue_15337_C_cython(): + has_module('Cython') + runtest_issue_15337('C89', 'cython') + + +def test_autowrap_custom_printer(): + has_module('Cython') + + from sympy.core.numbers import pi + from sympy.utilities.codegen import C99CodeGen + from sympy.printing.c import C99CodePrinter + + class PiPrinter(C99CodePrinter): + def _print_Pi(self, expr): + return "S_PI" + + printer = PiPrinter() + gen = C99CodeGen(printer=printer) + gen.preprocessor_statements.append('#include "shortpi.h"') + + expr = pi * a + + expected = ( + '#include "%s"\n' + '#include \n' + '#include "shortpi.h"\n' + '\n' + 'double autofunc(double a) {\n' + '\n' + ' double autofunc_result;\n' + ' autofunc_result = S_PI*a;\n' + ' return autofunc_result;\n' + '\n' + '}\n' + ) + + tmpdir = tempfile.mkdtemp() + # write a trivial header file to use in the generated code + Path(os.path.join(tmpdir, 'shortpi.h')).write_text('#define S_PI 3.14') + + func = autowrap(expr, backend='cython', tempdir=tmpdir, code_gen=gen) + + assert func(4.2) == 3.14 * 4.2 + + # check that the generated code is correct + for filename in os.listdir(tmpdir): + if filename.startswith('wrapped_code') and filename.endswith('.c'): + with open(os.path.join(tmpdir, filename)) as f: + lines = f.readlines() + expected = expected % filename.replace('.c', '.h') + assert ''.join(lines[7:]) == expected + + +# Numpy + +def test_ufuncify_numpy(): + # This test doesn't use Cython, but if Cython works, then there is a valid + # C compiler, which is needed. + has_module('Cython') + runtest_ufuncify('C99', 'numpy') diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/external/tests/test_codegen.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/external/tests/test_codegen.py new file mode 100644 index 0000000000000000000000000000000000000000..8a4fe28300b86fb0b38d98fcf2fcbbe514cf720f --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/external/tests/test_codegen.py @@ -0,0 +1,375 @@ +# This tests the compilation and execution of the source code generated with +# utilities.codegen. The compilation takes place in a temporary directory that +# is removed after the test. By default the test directory is always removed, +# but this behavior can be changed by setting the environment variable +# SYMPY_TEST_CLEAN_TEMP to: +# export SYMPY_TEST_CLEAN_TEMP=always : the default behavior. +# export SYMPY_TEST_CLEAN_TEMP=success : only remove the directories of working tests. +# export SYMPY_TEST_CLEAN_TEMP=never : never remove the directories with the test code. +# When a directory is not removed, the necessary information is printed on +# screen to find the files that belong to the (failed) tests. If a test does +# not fail, py.test captures all the output and you will not see the directories +# corresponding to the successful tests. Use the --nocapture option to see all +# the output. + +# All tests below have a counterpart in utilities/test/test_codegen.py. In the +# latter file, the resulting code is compared with predefined strings, without +# compilation or execution. + +# All the generated Fortran code should conform with the Fortran 95 standard, +# and all the generated C code should be ANSI C, which facilitates the +# incorporation in various projects. The tests below assume that the binary cc +# is somewhere in the path and that it can compile ANSI C code. + +from sympy.abc import x, y, z +from sympy.testing.pytest import IS_WASM, skip +from sympy.utilities.codegen import codegen, make_routine, get_code_generator +import sys +import os +import tempfile +import subprocess +from pathlib import Path + + +# templates for the main program that will test the generated code. + +main_template = {} +main_template['F95'] = """ +program main + include "codegen.h" + integer :: result; + result = 0 + + %(statements)s + + call exit(result) +end program +""" + +main_template['C89'] = """ +#include "codegen.h" +#include +#include + +int main() { + int result = 0; + + %(statements)s + + return result; +} +""" +main_template['C99'] = main_template['C89'] +# templates for the numerical tests + +numerical_test_template = {} +numerical_test_template['C89'] = """ + if (fabs(%(call)s)>%(threshold)s) { + printf("Numerical validation failed: %(call)s=%%e threshold=%(threshold)s\\n", %(call)s); + result = -1; + } +""" +numerical_test_template['C99'] = numerical_test_template['C89'] + +numerical_test_template['F95'] = """ + if (abs(%(call)s)>%(threshold)s) then + write(6,"('Numerical validation failed:')") + write(6,"('%(call)s=',e15.5,'threshold=',e15.5)") %(call)s, %(threshold)s + result = -1; + end if +""" +# command sequences for supported compilers + +compile_commands = {} +compile_commands['cc'] = [ + "cc -c codegen.c -o codegen.o", + "cc -c main.c -o main.o", + "cc main.o codegen.o -lm -o test.exe" +] + +compile_commands['gfortran'] = [ + "gfortran -c codegen.f90 -o codegen.o", + "gfortran -ffree-line-length-none -c main.f90 -o main.o", + "gfortran main.o codegen.o -o test.exe" +] + +compile_commands['g95'] = [ + "g95 -c codegen.f90 -o codegen.o", + "g95 -ffree-line-length-huge -c main.f90 -o main.o", + "g95 main.o codegen.o -o test.exe" +] + +compile_commands['ifort'] = [ + "ifort -c codegen.f90 -o codegen.o", + "ifort -c main.f90 -o main.o", + "ifort main.o codegen.o -o test.exe" +] + +combinations_lang_compiler = [ + ('C89', 'cc'), + ('C99', 'cc'), + ('F95', 'ifort'), + ('F95', 'gfortran'), + ('F95', 'g95') +] + +def try_run(commands): + """Run a series of commands and only return True if all ran fine.""" + if IS_WASM: + return False + with open(os.devnull, 'w') as null: + for command in commands: + retcode = subprocess.call(command, stdout=null, shell=True, + stderr=subprocess.STDOUT) + if retcode != 0: + return False + return True + + +def run_test(label, routines, numerical_tests, language, commands, friendly=True): + """A driver for the codegen tests. + + This driver assumes that a compiler ifort is present in the PATH and that + ifort is (at least) a Fortran 90 compiler. The generated code is written in + a temporary directory, together with a main program that validates the + generated code. The test passes when the compilation and the validation + run correctly. + """ + + # Check input arguments before touching the file system + language = language.upper() + assert language in main_template + assert language in numerical_test_template + + # Check that environment variable makes sense + clean = os.getenv('SYMPY_TEST_CLEAN_TEMP', 'always').lower() + if clean not in ('always', 'success', 'never'): + raise ValueError("SYMPY_TEST_CLEAN_TEMP must be one of the following: 'always', 'success' or 'never'.") + + # Do all the magic to compile, run and validate the test code + # 1) prepare the temporary working directory, switch to that dir + work = tempfile.mkdtemp("_sympy_%s_test" % language, "%s_" % label) + oldwork = os.getcwd() + os.chdir(work) + + # 2) write the generated code + if friendly: + # interpret the routines as a name_expr list and call the friendly + # function codegen + codegen(routines, language, "codegen", to_files=True) + else: + code_gen = get_code_generator(language, "codegen") + code_gen.write(routines, "codegen", to_files=True) + + # 3) write a simple main program that links to the generated code, and that + # includes the numerical tests + test_strings = [] + for fn_name, args, expected, threshold in numerical_tests: + call_string = "%s(%s)-(%s)" % ( + fn_name, ",".join(str(arg) for arg in args), expected) + if language == "F95": + call_string = fortranize_double_constants(call_string) + threshold = fortranize_double_constants(str(threshold)) + test_strings.append(numerical_test_template[language] % { + "call": call_string, + "threshold": threshold, + }) + + if language == "F95": + f_name = "main.f90" + elif language.startswith("C"): + f_name = "main.c" + else: + raise NotImplementedError( + "FIXME: filename extension unknown for language: %s" % language) + + Path(f_name).write_text( + main_template[language] % {'statements': "".join(test_strings)}) + + # 4) Compile and link + compiled = try_run(commands) + + # 5) Run if compiled + if compiled: + executed = try_run(["./test.exe"]) + else: + executed = False + + # 6) Clean up stuff + if clean == 'always' or (clean == 'success' and compiled and executed): + def safe_remove(filename): + if os.path.isfile(filename): + os.remove(filename) + safe_remove("codegen.f90") + safe_remove("codegen.c") + safe_remove("codegen.h") + safe_remove("codegen.o") + safe_remove("main.f90") + safe_remove("main.c") + safe_remove("main.o") + safe_remove("test.exe") + os.chdir(oldwork) + os.rmdir(work) + else: + print("TEST NOT REMOVED: %s" % work, file=sys.stderr) + os.chdir(oldwork) + + # 7) Do the assertions in the end + assert compiled, "failed to compile %s code with:\n%s" % ( + language, "\n".join(commands)) + assert executed, "failed to execute %s code from:\n%s" % ( + language, "\n".join(commands)) + + +def fortranize_double_constants(code_string): + """ + Replaces every literal float with literal doubles + """ + import re + pattern_exp = re.compile(r'\d+(\.)?\d*[eE]-?\d+') + pattern_float = re.compile(r'\d+\.\d*(?!\d*d)') + + def subs_exp(matchobj): + return re.sub('[eE]', 'd', matchobj.group(0)) + + def subs_float(matchobj): + return "%sd0" % matchobj.group(0) + + code_string = pattern_exp.sub(subs_exp, code_string) + code_string = pattern_float.sub(subs_float, code_string) + + return code_string + + +def is_feasible(language, commands): + # This test should always work, otherwise the compiler is not present. + routine = make_routine("test", x) + numerical_tests = [ + ("test", ( 1.0,), 1.0, 1e-15), + ("test", (-1.0,), -1.0, 1e-15), + ] + try: + run_test("is_feasible", [routine], numerical_tests, language, commands, + friendly=False) + return True + except AssertionError: + return False + +valid_lang_commands = [] +invalid_lang_compilers = [] +for lang, compiler in combinations_lang_compiler: + commands = compile_commands[compiler] + if is_feasible(lang, commands): + valid_lang_commands.append((lang, commands)) + else: + invalid_lang_compilers.append((lang, compiler)) + +# We test all language-compiler combinations, just to report what is skipped + +def test_C89_cc(): + if ("C89", 'cc') in invalid_lang_compilers: + skip("`cc' command didn't work as expected (C89)") + + +def test_C99_cc(): + if ("C99", 'cc') in invalid_lang_compilers: + skip("`cc' command didn't work as expected (C99)") + + +def test_F95_ifort(): + if ("F95", 'ifort') in invalid_lang_compilers: + skip("`ifort' command didn't work as expected") + + +def test_F95_gfortran(): + if ("F95", 'gfortran') in invalid_lang_compilers: + skip("`gfortran' command didn't work as expected") + + +def test_F95_g95(): + if ("F95", 'g95') in invalid_lang_compilers: + skip("`g95' command didn't work as expected") + +# Here comes the actual tests + + +def test_basic_codegen(): + numerical_tests = [ + ("test", (1.0, 6.0, 3.0), 21.0, 1e-15), + ("test", (-1.0, 2.0, -2.5), -2.5, 1e-15), + ] + name_expr = [("test", (x + y)*z)] + for lang, commands in valid_lang_commands: + run_test("basic_codegen", name_expr, numerical_tests, lang, commands) + + +def test_intrinsic_math1_codegen(): + # not included: log10 + from sympy.core.evalf import N + from sympy.functions import ln + from sympy.functions.elementary.exponential import log + from sympy.functions.elementary.hyperbolic import (cosh, sinh, tanh) + from sympy.functions.elementary.integers import (ceiling, floor) + from sympy.functions.elementary.miscellaneous import sqrt + from sympy.functions.elementary.trigonometric import (acos, asin, atan, cos, sin, tan) + name_expr = [ + ("test_fabs", abs(x)), + ("test_acos", acos(x)), + ("test_asin", asin(x)), + ("test_atan", atan(x)), + ("test_cos", cos(x)), + ("test_cosh", cosh(x)), + ("test_log", log(x)), + ("test_ln", ln(x)), + ("test_sin", sin(x)), + ("test_sinh", sinh(x)), + ("test_sqrt", sqrt(x)), + ("test_tan", tan(x)), + ("test_tanh", tanh(x)), + ] + numerical_tests = [] + for name, expr in name_expr: + for xval in 0.2, 0.5, 0.8: + expected = N(expr.subs(x, xval)) + numerical_tests.append((name, (xval,), expected, 1e-14)) + for lang, commands in valid_lang_commands: + if lang.startswith("C"): + name_expr_C = [("test_floor", floor(x)), ("test_ceil", ceiling(x))] + else: + name_expr_C = [] + run_test("intrinsic_math1", name_expr + name_expr_C, + numerical_tests, lang, commands) + + +def test_instrinsic_math2_codegen(): + # not included: frexp, ldexp, modf, fmod + from sympy.core.evalf import N + from sympy.functions.elementary.trigonometric import atan2 + name_expr = [ + ("test_atan2", atan2(x, y)), + ("test_pow", x**y), + ] + numerical_tests = [] + for name, expr in name_expr: + for xval, yval in (0.2, 1.3), (0.5, -0.2), (0.8, 0.8): + expected = N(expr.subs(x, xval).subs(y, yval)) + numerical_tests.append((name, (xval, yval), expected, 1e-14)) + for lang, commands in valid_lang_commands: + run_test("intrinsic_math2", name_expr, numerical_tests, lang, commands) + + +def test_complicated_codegen(): + from sympy.core.evalf import N + from sympy.functions.elementary.trigonometric import (cos, sin, tan) + name_expr = [ + ("test1", ((sin(x) + cos(y) + tan(z))**7).expand()), + ("test2", cos(cos(cos(cos(cos(cos(cos(cos(x + y + z))))))))), + ] + numerical_tests = [] + for name, expr in name_expr: + for xval, yval, zval in (0.2, 1.3, -0.3), (0.5, -0.2, 0.0), (0.8, 2.1, 0.8): + expected = N(expr.subs(x, xval).subs(y, yval).subs(z, zval)) + numerical_tests.append((name, (xval, yval, zval), expected, 1e-12)) + for lang, commands in valid_lang_commands: + run_test( + "complicated_codegen", name_expr, numerical_tests, lang, commands) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/external/tests/test_gmpy.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/external/tests/test_gmpy.py new file mode 100644 index 0000000000000000000000000000000000000000..d88f9da0c6c26c15f529ce485fff5b72342170ea --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/external/tests/test_gmpy.py @@ -0,0 +1,12 @@ +from sympy.external.gmpy import LONG_MAX, iroot +from sympy.testing.pytest import raises + + +def test_iroot(): + assert iroot(2, LONG_MAX) == (1, False) + assert iroot(2, LONG_MAX + 1) == (1, False) + for x in range(3): + assert iroot(x, 1) == (x, True) + raises(ValueError, lambda: iroot(-1, 1)) + raises(ValueError, lambda: iroot(0, 0)) + raises(ValueError, lambda: iroot(0, -1)) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/external/tests/test_importtools.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/external/tests/test_importtools.py new file mode 100644 index 0000000000000000000000000000000000000000..0b954070c179282ed2bcf5735d802c5f22a3a261 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/external/tests/test_importtools.py @@ -0,0 +1,40 @@ +from sympy.external import import_module +from sympy.testing.pytest import warns + +# fixes issue that arose in addressing issue 6533 +def test_no_stdlib_collections(): + ''' + make sure we get the right collections when it is not part of a + larger list + ''' + import collections + matplotlib = import_module('matplotlib', + import_kwargs={'fromlist': ['cm', 'collections']}, + min_module_version='1.1.0', catch=(RuntimeError,)) + if matplotlib: + assert collections != matplotlib.collections + +def test_no_stdlib_collections2(): + ''' + make sure we get the right collections when it is not part of a + larger list + ''' + import collections + matplotlib = import_module('matplotlib', + import_kwargs={'fromlist': ['collections']}, + min_module_version='1.1.0', catch=(RuntimeError,)) + if matplotlib: + assert collections != matplotlib.collections + +def test_no_stdlib_collections3(): + '''make sure we get the right collections with no catch''' + import collections + matplotlib = import_module('matplotlib', + import_kwargs={'fromlist': ['cm', 'collections']}, + min_module_version='1.1.0') + if matplotlib: + assert collections != matplotlib.collections + +def test_min_module_version_python3_basestring_error(): + with warns(UserWarning): + import_module('mpmath', min_module_version='1000.0.1') diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/external/tests/test_ntheory.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/external/tests/test_ntheory.py new file mode 100644 index 0000000000000000000000000000000000000000..00824481ad27aa9071ea5801fb3bde75cacbc3c8 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/external/tests/test_ntheory.py @@ -0,0 +1,307 @@ +from itertools import permutations + +from sympy.external.ntheory import (bit_scan1, remove, bit_scan0, is_fermat_prp, + is_euler_prp, is_strong_prp, gcdext, _lucas_sequence, + is_fibonacci_prp, is_lucas_prp, is_selfridge_prp, + is_strong_lucas_prp, is_strong_selfridge_prp, + is_bpsw_prp, is_strong_bpsw_prp) +from sympy.testing.pytest import raises + + +def test_bit_scan1(): + assert bit_scan1(0) is None + assert bit_scan1(1) == 0 + assert bit_scan1(-1) == 0 + assert bit_scan1(2) == 1 + assert bit_scan1(7) == 0 + assert bit_scan1(-7) == 0 + for i in range(100): + assert bit_scan1(1 << i) == i + assert bit_scan1((1 << i) * 31337) == i + for i in range(500): + n = (1 << 500) + (1 << i) + assert bit_scan1(n) == i + assert bit_scan1(1 << 1000001) == 1000001 + assert bit_scan1((1 << 273956)*7**37) == 273956 + # issue 12709 + for i in range(1, 10): + big = 1 << i + assert bit_scan1(-big) == bit_scan1(big) + + +def test_bit_scan0(): + assert bit_scan0(-1) is None + assert bit_scan0(0) == 0 + assert bit_scan0(1) == 1 + assert bit_scan0(-2) == 0 + + +def test_remove(): + raises(ValueError, lambda: remove(1, 1)) + assert remove(0, 3) == (0, 0) + for f in range(2, 10): + for y in range(2, 1000): + for z in [1, 17, 101, 1009]: + assert remove(z*f**y, f) == (z, y) + + +def test_gcdext(): + assert gcdext(0, 0) == (0, 0, 0) + assert gcdext(3, 0) == (3, 1, 0) + assert gcdext(0, 4) == (4, 0, 1) + + for n in range(1, 10): + assert gcdext(n, 1) == gcdext(-n, 1) == (1, 0, 1) + assert gcdext(n, -1) == gcdext(-n, -1) == (1, 0, -1) + assert gcdext(n, n) == gcdext(-n, n) == (n, 0, 1) + assert gcdext(n, -n) == gcdext(-n, -n) == (n, 0, -1) + + for n in range(2, 10): + assert gcdext(1, n) == gcdext(1, -n) == (1, 1, 0) + assert gcdext(-1, n) == gcdext(-1, -n) == (1, -1, 0) + + for a, b in permutations([2**5, 3, 5, 7**2, 11], 2): + g, x, y = gcdext(a, b) + assert g == a*x + b*y == 1 + + +def test_is_fermat_prp(): + # invalid input + raises(ValueError, lambda: is_fermat_prp(0, 10)) + raises(ValueError, lambda: is_fermat_prp(5, 1)) + + # n = 1 + assert not is_fermat_prp(1, 3) + + # n is prime + assert is_fermat_prp(2, 4) + assert is_fermat_prp(3, 2) + assert is_fermat_prp(11, 3) + assert is_fermat_prp(2**31-1, 5) + + # A001567 + pseudorpime = [341, 561, 645, 1105, 1387, 1729, 1905, 2047, + 2465, 2701, 2821, 3277, 4033, 4369, 4371, 4681] + for n in pseudorpime: + assert is_fermat_prp(n, 2) + + # A020136 + pseudorpime = [15, 85, 91, 341, 435, 451, 561, 645, 703, 1105, + 1247, 1271, 1387, 1581, 1695, 1729, 1891, 1905] + for n in pseudorpime: + assert is_fermat_prp(n, 4) + + +def test_is_euler_prp(): + # invalid input + raises(ValueError, lambda: is_euler_prp(0, 10)) + raises(ValueError, lambda: is_euler_prp(5, 1)) + + # n = 1 + assert not is_euler_prp(1, 3) + + # n is prime + assert is_euler_prp(2, 4) + assert is_euler_prp(3, 2) + assert is_euler_prp(11, 3) + assert is_euler_prp(2**31-1, 5) + + # A047713 + pseudorpime = [561, 1105, 1729, 1905, 2047, 2465, 3277, 4033, + 4681, 6601, 8321, 8481, 10585, 12801, 15841] + for n in pseudorpime: + assert is_euler_prp(n, 2) + + # A048950 + pseudorpime = [121, 703, 1729, 1891, 2821, 3281, 7381, 8401, + 8911, 10585, 12403, 15457, 15841, 16531, 18721] + for n in pseudorpime: + assert is_euler_prp(n, 3) + + +def test_is_strong_prp(): + # invalid input + raises(ValueError, lambda: is_strong_prp(0, 10)) + raises(ValueError, lambda: is_strong_prp(5, 1)) + + # n = 1 + assert not is_strong_prp(1, 3) + + # n is prime + assert is_strong_prp(2, 4) + assert is_strong_prp(3, 2) + assert is_strong_prp(11, 3) + assert is_strong_prp(2**31-1, 5) + + # A001262 + pseudorpime = [2047, 3277, 4033, 4681, 8321, 15841, 29341, + 42799, 49141, 52633, 65281, 74665, 80581] + for n in pseudorpime: + assert is_strong_prp(n, 2) + + # A020229 + pseudorpime = [121, 703, 1891, 3281, 8401, 8911, 10585, 12403, + 16531, 18721, 19345, 23521, 31621, 44287, 47197] + for n in pseudorpime: + assert is_strong_prp(n, 3) + + +def test_lucas_sequence(): + def lucas_u(P, Q, length): + array = [0] * length + array[1] = 1 + for k in range(2, length): + array[k] = P * array[k - 1] - Q * array[k - 2] + return array + + def lucas_v(P, Q, length): + array = [0] * length + array[0] = 2 + array[1] = P + for k in range(2, length): + array[k] = P * array[k - 1] - Q * array[k - 2] + return array + + length = 20 + for P in range(-10, 10): + for Q in range(-10, 10): + D = P**2 - 4*Q + if D == 0: + continue + us = lucas_u(P, Q, length) + vs = lucas_v(P, Q, length) + for n in range(3, 100, 2): + for k in range(length): + U, V, Qk = _lucas_sequence(n, P, Q, k) + assert U == us[k] % n + assert V == vs[k] % n + assert pow(Q, k, n) == Qk + + +def test_is_fibonacci_prp(): + # invalid input + raises(ValueError, lambda: is_fibonacci_prp(3, 2, 1)) + raises(ValueError, lambda: is_fibonacci_prp(3, -5, 1)) + raises(ValueError, lambda: is_fibonacci_prp(3, 5, 2)) + raises(ValueError, lambda: is_fibonacci_prp(0, 5, -1)) + + # n = 1 + assert not is_fibonacci_prp(1, 3, 1) + + # n is prime + assert is_fibonacci_prp(2, 5, 1) + assert is_fibonacci_prp(3, 6, -1) + assert is_fibonacci_prp(11, 7, 1) + assert is_fibonacci_prp(2**31-1, 8, -1) + + # A005845 + pseudorpime = [705, 2465, 2737, 3745, 4181, 5777, 6721, + 10877, 13201, 15251, 24465, 29281, 34561] + for n in pseudorpime: + assert is_fibonacci_prp(n, 1, -1) + + +def test_is_lucas_prp(): + # invalid input + raises(ValueError, lambda: is_lucas_prp(3, 2, 1)) + raises(ValueError, lambda: is_lucas_prp(0, 5, -1)) + raises(ValueError, lambda: is_lucas_prp(15, 3, 1)) + + # n = 1 + assert not is_lucas_prp(1, 3, 1) + + # n is prime + assert is_lucas_prp(2, 5, 2) + assert is_lucas_prp(3, 6, -1) + assert is_lucas_prp(11, 7, 5) + assert is_lucas_prp(2**31-1, 8, -3) + + # A081264 + pseudorpime = [323, 377, 1891, 3827, 4181, 5777, 6601, 6721, + 8149, 10877, 11663, 13201, 13981, 15251, 17119] + for n in pseudorpime: + assert is_lucas_prp(n, 1, -1) + + +def test_is_selfridge_prp(): + # invalid input + raises(ValueError, lambda: is_selfridge_prp(0)) + + # n = 1 + assert not is_selfridge_prp(1) + + # n is prime + assert is_selfridge_prp(2) + assert is_selfridge_prp(3) + assert is_selfridge_prp(11) + assert is_selfridge_prp(2**31-1) + + # A217120 + pseudorpime = [323, 377, 1159, 1829, 3827, 5459, 5777, 9071, + 9179, 10877, 11419, 11663, 13919, 14839, 16109] + for n in pseudorpime: + assert is_selfridge_prp(n) + + +def test_is_strong_lucas_prp(): + # invalid input + raises(ValueError, lambda: is_strong_lucas_prp(3, 2, 1)) + raises(ValueError, lambda: is_strong_lucas_prp(0, 5, -1)) + raises(ValueError, lambda: is_strong_lucas_prp(15, 3, 1)) + + # n = 1 + assert not is_strong_lucas_prp(1, 3, 1) + + # n is prime + assert is_strong_lucas_prp(2, 5, 2) + assert is_strong_lucas_prp(3, 6, -1) + assert is_strong_lucas_prp(11, 7, 5) + assert is_strong_lucas_prp(2**31-1, 8, -3) + + +def test_is_strong_selfridge_prp(): + # invalid input + raises(ValueError, lambda: is_strong_selfridge_prp(0)) + + # n = 1 + assert not is_strong_selfridge_prp(1) + + # n is prime + assert is_strong_selfridge_prp(2) + assert is_strong_selfridge_prp(3) + assert is_strong_selfridge_prp(11) + assert is_strong_selfridge_prp(2**31-1) + + # A217255 + pseudorpime = [5459, 5777, 10877, 16109, 18971, 22499, 24569, + 25199, 40309, 58519, 75077, 97439, 100127, 113573] + for n in pseudorpime: + assert is_strong_selfridge_prp(n) + + +def test_is_bpsw_prp(): + # invalid input + raises(ValueError, lambda: is_bpsw_prp(0)) + + # n = 1 + assert not is_bpsw_prp(1) + + # n is prime + assert is_bpsw_prp(2) + assert is_bpsw_prp(3) + assert is_bpsw_prp(11) + assert is_bpsw_prp(2**31-1) + + +def test_is_strong_bpsw_prp(): + # invalid input + raises(ValueError, lambda: is_strong_bpsw_prp(0)) + + # n = 1 + assert not is_strong_bpsw_prp(1) + + # n is prime + assert is_strong_bpsw_prp(2) + assert is_strong_bpsw_prp(3) + assert is_strong_bpsw_prp(11) + assert is_strong_bpsw_prp(2**31-1) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/external/tests/test_numpy.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/external/tests/test_numpy.py new file mode 100644 index 0000000000000000000000000000000000000000..cd456d0d6cc49138c29d7ab28ee02694448d578f --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/external/tests/test_numpy.py @@ -0,0 +1,335 @@ +# This testfile tests SymPy <-> NumPy compatibility + +# Don't test any SymPy features here. Just pure interaction with NumPy. +# Always write regular SymPy tests for anything, that can be tested in pure +# Python (without numpy). Here we test everything, that a user may need when +# using SymPy with NumPy +from sympy.external.importtools import version_tuple +from sympy.external import import_module + +numpy = import_module('numpy') +if numpy: + array, matrix, ndarray = numpy.array, numpy.matrix, numpy.ndarray +else: + #bin/test will not execute any tests now + disabled = True + + +from sympy.core.numbers import (Float, Integer, Rational) +from sympy.core.symbol import (Symbol, symbols) +from sympy.functions.elementary.trigonometric import sin +from sympy.matrices.dense import (Matrix, list2numpy, matrix2numpy, symarray) +from sympy.utilities.lambdify import lambdify +import sympy + +import mpmath +from sympy.abc import x, y, z +from sympy.utilities.decorator import conserve_mpmath_dps +from sympy.utilities.exceptions import ignore_warnings +from sympy.testing.pytest import raises + + +# first, systematically check, that all operations are implemented and don't +# raise an exception + + +def test_systematic_basic(): + def s(sympy_object, numpy_array): + _ = [sympy_object + numpy_array, + numpy_array + sympy_object, + sympy_object - numpy_array, + numpy_array - sympy_object, + sympy_object * numpy_array, + numpy_array * sympy_object, + sympy_object / numpy_array, + numpy_array / sympy_object, + sympy_object ** numpy_array, + numpy_array ** sympy_object] + x = Symbol("x") + y = Symbol("y") + sympy_objs = [ + Rational(2, 3), + Float("1.3"), + x, + y, + pow(x, y)*y, + Integer(5), + Float(5.5), + ] + numpy_objs = [ + array([1]), + array([3, 8, -1]), + array([x, x**2, Rational(5)]), + array([x/y*sin(y), 5, Rational(5)]), + ] + for x in sympy_objs: + for y in numpy_objs: + s(x, y) + + +# now some random tests, that test particular problems and that also +# check that the results of the operations are correct + +def test_basics(): + one = Rational(1) + zero = Rational(0) + assert array(1) == array(one) + assert array([one]) == array([one]) + assert array([x]) == array([x]) + assert array(x) == array(Symbol("x")) + assert array(one + x) == array(1 + x) + + X = array([one, zero, zero]) + assert (X == array([one, zero, zero])).all() + assert (X == array([one, 0, 0])).all() + + +def test_arrays(): + one = Rational(1) + zero = Rational(0) + X = array([one, zero, zero]) + Y = one*X + X = array([Symbol("a") + Rational(1, 2)]) + Y = X + X + assert Y == array([1 + 2*Symbol("a")]) + Y = Y + 1 + assert Y == array([2 + 2*Symbol("a")]) + Y = X - X + assert Y == array([0]) + + +def test_conversion1(): + a = list2numpy([x**2, x]) + #looks like an array? + assert isinstance(a, ndarray) + assert a[0] == x**2 + assert a[1] == x + assert len(a) == 2 + #yes, it's the array + + +def test_conversion2(): + a = 2*list2numpy([x**2, x]) + b = list2numpy([2*x**2, 2*x]) + assert (a == b).all() + + one = Rational(1) + zero = Rational(0) + X = list2numpy([one, zero, zero]) + Y = one*X + X = list2numpy([Symbol("a") + Rational(1, 2)]) + Y = X + X + assert Y == array([1 + 2*Symbol("a")]) + Y = Y + 1 + assert Y == array([2 + 2*Symbol("a")]) + Y = X - X + assert Y == array([0]) + + +def test_list2numpy(): + assert (array([x**2, x]) == list2numpy([x**2, x])).all() + + +def test_Matrix1(): + m = Matrix([[x, x**2], [5, 2/x]]) + assert (array(m.subs(x, 2)) == array([[2, 4], [5, 1]])).all() + m = Matrix([[sin(x), x**2], [5, 2/x]]) + assert (array(m.subs(x, 2)) == array([[sin(2), 4], [5, 1]])).all() + + +def test_Matrix2(): + m = Matrix([[x, x**2], [5, 2/x]]) + with ignore_warnings(PendingDeprecationWarning): + assert (matrix(m.subs(x, 2)) == matrix([[2, 4], [5, 1]])).all() + m = Matrix([[sin(x), x**2], [5, 2/x]]) + with ignore_warnings(PendingDeprecationWarning): + assert (matrix(m.subs(x, 2)) == matrix([[sin(2), 4], [5, 1]])).all() + + +def test_Matrix3(): + a = array([[2, 4], [5, 1]]) + assert Matrix(a) == Matrix([[2, 4], [5, 1]]) + assert Matrix(a) != Matrix([[2, 4], [5, 2]]) + a = array([[sin(2), 4], [5, 1]]) + assert Matrix(a) == Matrix([[sin(2), 4], [5, 1]]) + assert Matrix(a) != Matrix([[sin(0), 4], [5, 1]]) + + +def test_Matrix4(): + with ignore_warnings(PendingDeprecationWarning): + a = matrix([[2, 4], [5, 1]]) + assert Matrix(a) == Matrix([[2, 4], [5, 1]]) + assert Matrix(a) != Matrix([[2, 4], [5, 2]]) + with ignore_warnings(PendingDeprecationWarning): + a = matrix([[sin(2), 4], [5, 1]]) + assert Matrix(a) == Matrix([[sin(2), 4], [5, 1]]) + assert Matrix(a) != Matrix([[sin(0), 4], [5, 1]]) + + +def test_Matrix_sum(): + M = Matrix([[1, 2, 3], [x, y, x], [2*y, -50, z*x]]) + with ignore_warnings(PendingDeprecationWarning): + m = matrix([[2, 3, 4], [x, 5, 6], [x, y, z**2]]) + assert M + m == Matrix([[3, 5, 7], [2*x, y + 5, x + 6], [2*y + x, y - 50, z*x + z**2]]) + assert m + M == Matrix([[3, 5, 7], [2*x, y + 5, x + 6], [2*y + x, y - 50, z*x + z**2]]) + assert M + m == M.add(m) + + +def test_Matrix_mul(): + M = Matrix([[1, 2, 3], [x, y, x]]) + with ignore_warnings(PendingDeprecationWarning): + m = matrix([[2, 4], [x, 6], [x, z**2]]) + assert M*m == Matrix([ + [ 2 + 5*x, 16 + 3*z**2], + [2*x + x*y + x**2, 4*x + 6*y + x*z**2], + ]) + + assert m*M == Matrix([ + [ 2 + 4*x, 4 + 4*y, 6 + 4*x], + [ 7*x, 2*x + 6*y, 9*x], + [x + x*z**2, 2*x + y*z**2, 3*x + x*z**2], + ]) + a = array([2]) + assert a[0] * M == 2 * M + assert M * a[0] == 2 * M + + +def test_Matrix_array(): + class matarray: + def __array__(self, dtype=object, copy=None): + if copy is not None and not copy: + raise TypeError("Cannot implement copy=False when converting Matrix to ndarray") + from numpy import array + return array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) + matarr = matarray() + assert Matrix(matarr) == Matrix([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) + + +def test_matrix2numpy(): + a = matrix2numpy(Matrix([[1, x**2], [3*sin(x), 0]])) + assert isinstance(a, ndarray) + assert a.shape == (2, 2) + assert a[0, 0] == 1 + assert a[0, 1] == x**2 + assert a[1, 0] == 3*sin(x) + assert a[1, 1] == 0 + + +def test_matrix2numpy_conversion(): + a = Matrix([[1, 2, sin(x)], [x**2, x, Rational(1, 2)]]) + b = array([[1, 2, sin(x)], [x**2, x, Rational(1, 2)]]) + assert (matrix2numpy(a) == b).all() + assert matrix2numpy(a).dtype == numpy.dtype('object') + + c = matrix2numpy(Matrix([[1, 2], [10, 20]]), dtype='int8') + d = matrix2numpy(Matrix([[1, 2], [10, 20]]), dtype='float64') + assert c.dtype == numpy.dtype('int8') + assert d.dtype == numpy.dtype('float64') + + +def test_issue_3728(): + assert (Rational(1, 2)*array([2*x, 0]) == array([x, 0])).all() + assert (Rational(1, 2) + array( + [2*x, 0]) == array([2*x + Rational(1, 2), Rational(1, 2)])).all() + assert (Float("0.5")*array([2*x, 0]) == array([Float("1.0")*x, 0])).all() + assert (Float("0.5") + array( + [2*x, 0]) == array([2*x + Float("0.5"), Float("0.5")])).all() + + +@conserve_mpmath_dps +def test_lambdify(): + mpmath.mp.dps = 16 + sin02 = mpmath.mpf("0.198669330795061215459412627") + f = lambdify(x, sin(x), "numpy") + prec = 1e-15 + assert -prec < f(0.2) - sin02 < prec + + # if this succeeds, it can't be a numpy function + + if version_tuple(numpy.__version__) >= version_tuple('1.17'): + with raises(TypeError): + f(x) + else: + with raises(AttributeError): + f(x) + + +def test_lambdify_matrix(): + f = lambdify(x, Matrix([[x, 2*x], [1, 2]]), [{'ImmutableMatrix': numpy.array}, "numpy"]) + assert (f(1) == array([[1, 2], [1, 2]])).all() + + +def test_lambdify_matrix_multi_input(): + M = sympy.Matrix([[x**2, x*y, x*z], + [y*x, y**2, y*z], + [z*x, z*y, z**2]]) + f = lambdify((x, y, z), M, [{'ImmutableMatrix': numpy.array}, "numpy"]) + + xh, yh, zh = 1.0, 2.0, 3.0 + expected = array([[xh**2, xh*yh, xh*zh], + [yh*xh, yh**2, yh*zh], + [zh*xh, zh*yh, zh**2]]) + actual = f(xh, yh, zh) + assert numpy.allclose(actual, expected) + + +def test_lambdify_matrix_vec_input(): + X = sympy.DeferredVector('X') + M = Matrix([ + [X[0]**2, X[0]*X[1], X[0]*X[2]], + [X[1]*X[0], X[1]**2, X[1]*X[2]], + [X[2]*X[0], X[2]*X[1], X[2]**2]]) + f = lambdify(X, M, [{'ImmutableMatrix': numpy.array}, "numpy"]) + + Xh = array([1.0, 2.0, 3.0]) + expected = array([[Xh[0]**2, Xh[0]*Xh[1], Xh[0]*Xh[2]], + [Xh[1]*Xh[0], Xh[1]**2, Xh[1]*Xh[2]], + [Xh[2]*Xh[0], Xh[2]*Xh[1], Xh[2]**2]]) + actual = f(Xh) + assert numpy.allclose(actual, expected) + + +def test_lambdify_transl(): + from sympy.utilities.lambdify import NUMPY_TRANSLATIONS + for sym, mat in NUMPY_TRANSLATIONS.items(): + assert sym in sympy.__dict__ + assert mat in numpy.__dict__ + + +def test_symarray(): + """Test creation of numpy arrays of SymPy symbols.""" + + import numpy as np + import numpy.testing as npt + + syms = symbols('_0,_1,_2') + s1 = symarray("", 3) + s2 = symarray("", 3) + npt.assert_array_equal(s1, np.array(syms, dtype=object)) + assert s1[0] == s2[0] + + a = symarray('a', 3) + b = symarray('b', 3) + assert not(a[0] == b[0]) + + asyms = symbols('a_0,a_1,a_2') + npt.assert_array_equal(a, np.array(asyms, dtype=object)) + + # Multidimensional checks + a2d = symarray('a', (2, 3)) + assert a2d.shape == (2, 3) + a00, a12 = symbols('a_0_0,a_1_2') + assert a2d[0, 0] == a00 + assert a2d[1, 2] == a12 + + a3d = symarray('a', (2, 3, 2)) + assert a3d.shape == (2, 3, 2) + a000, a120, a121 = symbols('a_0_0_0,a_1_2_0,a_1_2_1') + assert a3d[0, 0, 0] == a000 + assert a3d[1, 2, 0] == a120 + assert a3d[1, 2, 1] == a121 + + +def test_vectorize(): + assert (numpy.vectorize( + sin)([1, 2, 3]) == numpy.array([sin(1), sin(2), sin(3)])).all() diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/external/tests/test_pythonmpq.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/external/tests/test_pythonmpq.py new file mode 100644 index 0000000000000000000000000000000000000000..137cfdf5c858544f0811ae666f000cfb368787a0 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/external/tests/test_pythonmpq.py @@ -0,0 +1,176 @@ +""" +test_pythonmpq.py + +Test the PythonMPQ class for consistency with gmpy2's mpq type. If gmpy2 is +installed run the same tests for both. +""" +from fractions import Fraction +from decimal import Decimal +import pickle +from typing import Callable, List, Tuple, Type + +from sympy.testing.pytest import raises + +from sympy.external.pythonmpq import PythonMPQ + +# +# If gmpy2 is installed then run the tests for both mpq and PythonMPQ. +# That should ensure consistency between the implementation here and mpq. +# +rational_types: List[Tuple[Callable, Type, Callable, Type]] +rational_types = [(PythonMPQ, PythonMPQ, int, int)] +try: + from gmpy2 import mpq, mpz + rational_types.append((mpq, type(mpq(1)), mpz, type(mpz(1)))) +except ImportError: + pass + + +def test_PythonMPQ(): + # + # Test PythonMPQ and also mpq if gmpy/gmpy2 is installed. + # + for Q, TQ, Z, TZ in rational_types: + + def check_Q(q): + assert isinstance(q, TQ) + assert isinstance(q.numerator, TZ) + assert isinstance(q.denominator, TZ) + return q.numerator, q.denominator + + # Check construction from different types + assert check_Q(Q(3)) == (3, 1) + assert check_Q(Q(3, 5)) == (3, 5) + assert check_Q(Q(Q(3, 5))) == (3, 5) + assert check_Q(Q(0.5)) == (1, 2) + assert check_Q(Q('0.5')) == (1, 2) + assert check_Q(Q(Fraction(3, 5))) == (3, 5) + + # https://github.com/aleaxit/gmpy/issues/327 + if Q is PythonMPQ: + assert check_Q(Q(Decimal('0.6'))) == (3, 5) + + # Invalid types + raises(TypeError, lambda: Q([])) + raises(TypeError, lambda: Q([], [])) + + # Check normalisation of signs + assert check_Q(Q(2, 3)) == (2, 3) + assert check_Q(Q(-2, 3)) == (-2, 3) + assert check_Q(Q(2, -3)) == (-2, 3) + assert check_Q(Q(-2, -3)) == (2, 3) + + # Check gcd calculation + assert check_Q(Q(12, 8)) == (3, 2) + + # __int__/__float__ + assert int(Q(5, 3)) == 1 + assert int(Q(-5, 3)) == -1 + assert float(Q(5, 2)) == 2.5 + assert float(Q(-5, 2)) == -2.5 + + # __str__/__repr__ + assert str(Q(2, 1)) == "2" + assert str(Q(1, 2)) == "1/2" + if Q is PythonMPQ: + assert repr(Q(2, 1)) == "MPQ(2,1)" + assert repr(Q(1, 2)) == "MPQ(1,2)" + else: + assert repr(Q(2, 1)) == "mpq(2,1)" + assert repr(Q(1, 2)) == "mpq(1,2)" + + # __bool__ + assert bool(Q(1, 2)) is True + assert bool(Q(0)) is False + + # __eq__/__ne__ + assert (Q(2, 3) == Q(2, 3)) is True + assert (Q(2, 3) == Q(2, 5)) is False + assert (Q(2, 3) != Q(2, 3)) is False + assert (Q(2, 3) != Q(2, 5)) is True + + # __hash__ + assert hash(Q(3, 5)) == hash(Fraction(3, 5)) + + # __reduce__ + q = Q(2, 3) + assert pickle.loads(pickle.dumps(q)) == q + + # __ge__/__gt__/__le__/__lt__ + assert (Q(1, 3) < Q(2, 3)) is True + assert (Q(2, 3) < Q(2, 3)) is False + assert (Q(2, 3) < Q(1, 3)) is False + assert (Q(-2, 3) < Q(1, 3)) is True + assert (Q(1, 3) < Q(-2, 3)) is False + + assert (Q(1, 3) <= Q(2, 3)) is True + assert (Q(2, 3) <= Q(2, 3)) is True + assert (Q(2, 3) <= Q(1, 3)) is False + assert (Q(-2, 3) <= Q(1, 3)) is True + assert (Q(1, 3) <= Q(-2, 3)) is False + + assert (Q(1, 3) > Q(2, 3)) is False + assert (Q(2, 3) > Q(2, 3)) is False + assert (Q(2, 3) > Q(1, 3)) is True + assert (Q(-2, 3) > Q(1, 3)) is False + assert (Q(1, 3) > Q(-2, 3)) is True + + assert (Q(1, 3) >= Q(2, 3)) is False + assert (Q(2, 3) >= Q(2, 3)) is True + assert (Q(2, 3) >= Q(1, 3)) is True + assert (Q(-2, 3) >= Q(1, 3)) is False + assert (Q(1, 3) >= Q(-2, 3)) is True + + # __abs__/__pos__/__neg__ + assert abs(Q(2, 3)) == abs(Q(-2, 3)) == Q(2, 3) + assert +Q(2, 3) == Q(2, 3) + assert -Q(2, 3) == Q(-2, 3) + + # __add__/__radd__ + assert Q(2, 3) + Q(5, 7) == Q(29, 21) + assert Q(2, 3) + 1 == Q(5, 3) + assert 1 + Q(2, 3) == Q(5, 3) + raises(TypeError, lambda: [] + Q(1)) + raises(TypeError, lambda: Q(1) + []) + + # __sub__/__rsub__ + assert Q(2, 3) - Q(5, 7) == Q(-1, 21) + assert Q(2, 3) - 1 == Q(-1, 3) + assert 1 - Q(2, 3) == Q(1, 3) + raises(TypeError, lambda: [] - Q(1)) + raises(TypeError, lambda: Q(1) - []) + + # __mul__/__rmul__ + assert Q(2, 3) * Q(5, 7) == Q(10, 21) + assert Q(2, 3) * 1 == Q(2, 3) + assert 1 * Q(2, 3) == Q(2, 3) + raises(TypeError, lambda: [] * Q(1)) + raises(TypeError, lambda: Q(1) * []) + + # __pow__/__rpow__ + assert Q(2, 3) ** 2 == Q(4, 9) + assert Q(2, 3) ** 1 == Q(2, 3) + assert Q(-2, 3) ** 2 == Q(4, 9) + assert Q(-2, 3) ** -1 == Q(-3, 2) + if Q is PythonMPQ: + raises(TypeError, lambda: 1 ** Q(2, 3)) + raises(TypeError, lambda: Q(1, 4) ** Q(1, 2)) + raises(TypeError, lambda: [] ** Q(1)) + raises(TypeError, lambda: Q(1) ** []) + + # __div__/__rdiv__ + assert Q(2, 3) / Q(5, 7) == Q(14, 15) + assert Q(2, 3) / 1 == Q(2, 3) + assert 1 / Q(2, 3) == Q(3, 2) + raises(TypeError, lambda: [] / Q(1)) + raises(TypeError, lambda: Q(1) / []) + raises(ZeroDivisionError, lambda: Q(1, 2) / Q(0)) + + # __divmod__ + if Q is PythonMPQ: + raises(TypeError, lambda: Q(2, 3) // Q(1, 3)) + raises(TypeError, lambda: Q(2, 3) % Q(1, 3)) + raises(TypeError, lambda: 1 // Q(1, 3)) + raises(TypeError, lambda: 1 % Q(1, 3)) + raises(TypeError, lambda: Q(2, 3) // 1) + raises(TypeError, lambda: Q(2, 3) % 1) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/external/tests/test_scipy.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/external/tests/test_scipy.py new file mode 100644 index 0000000000000000000000000000000000000000..3746d1a311eb68bb1af16e18ab152c7236b42bb5 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/external/tests/test_scipy.py @@ -0,0 +1,35 @@ +# This testfile tests SymPy <-> SciPy compatibility + +# Don't test any SymPy features here. Just pure interaction with SciPy. +# Always write regular SymPy tests for anything, that can be tested in pure +# Python (without scipy). Here we test everything, that a user may need when +# using SymPy with SciPy + +from sympy.external import import_module + +scipy = import_module('scipy') +if not scipy: + #bin/test will not execute any tests now + disabled = True + +from sympy.functions.special.bessel import jn_zeros + + +def eq(a, b, tol=1e-6): + for x, y in zip(a, b): + if not (abs(x - y) < tol): + return False + return True + + +def test_jn_zeros(): + assert eq(jn_zeros(0, 4, method="scipy"), + [3.141592, 6.283185, 9.424777, 12.566370]) + assert eq(jn_zeros(1, 4, method="scipy"), + [4.493409, 7.725251, 10.904121, 14.066193]) + assert eq(jn_zeros(2, 4, method="scipy"), + [5.763459, 9.095011, 12.322940, 15.514603]) + assert eq(jn_zeros(3, 4, method="scipy"), + [6.987932, 10.417118, 13.698023, 16.923621]) + assert eq(jn_zeros(4, 4, method="scipy"), + [8.182561, 11.704907, 15.039664, 18.301255]) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/__pycache__/__init__.cpython-312.pyc b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..de56b3daef6ad53e7d5205e8ff5f0a73049aa755 Binary files /dev/null and b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/__pycache__/__init__.cpython-312.pyc differ diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/combinatorial/__init__.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/combinatorial/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..584b3c8d46b5c7600d85efc7db46d7aa190397f8 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/combinatorial/__init__.py @@ -0,0 +1 @@ +# Stub __init__.py for sympy.functions.combinatorial diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/combinatorial/__pycache__/__init__.cpython-312.pyc b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/combinatorial/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..be74d28c99d39a4c4c572dc916f603be9d3f6558 Binary files /dev/null and b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/combinatorial/__pycache__/__init__.cpython-312.pyc differ diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/combinatorial/__pycache__/factorials.cpython-312.pyc b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/combinatorial/__pycache__/factorials.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..1bc780ea0d63375975249e6e1e3bbaebf4e9ad1f Binary files /dev/null and b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/combinatorial/__pycache__/factorials.cpython-312.pyc differ diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/combinatorial/__pycache__/numbers.cpython-312.pyc b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/combinatorial/__pycache__/numbers.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..7ff23d702cd79aabc3b9e3927125efddcaa08b77 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/combinatorial/__pycache__/numbers.cpython-312.pyc @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:baaf771be8a10276e80cbb9a16645c0237344cfd41d4f8bfc67f05292f12f67c +size 129341 diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/combinatorial/factorials.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/combinatorial/factorials.py new file mode 100644 index 0000000000000000000000000000000000000000..0c6d2f09524debca29d3040b28a019127a244b33 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/combinatorial/factorials.py @@ -0,0 +1,1133 @@ +from __future__ import annotations +from functools import reduce + +from sympy.core import S, sympify, Dummy, Mod +from sympy.core.cache import cacheit +from sympy.core.function import DefinedFunction, ArgumentIndexError, PoleError +from sympy.core.logic import fuzzy_and +from sympy.core.numbers import Integer, pi, I +from sympy.core.relational import Eq +from sympy.external.gmpy import gmpy as _gmpy +from sympy.ntheory import sieve +from sympy.ntheory.residue_ntheory import binomial_mod +from sympy.polys.polytools import Poly + +from math import factorial as _factorial, prod, sqrt as _sqrt + +class CombinatorialFunction(DefinedFunction): + """Base class for combinatorial functions. """ + + def _eval_simplify(self, **kwargs): + from sympy.simplify.combsimp import combsimp + # combinatorial function with non-integer arguments is + # automatically passed to gammasimp + expr = combsimp(self) + measure = kwargs['measure'] + if measure(expr) <= kwargs['ratio']*measure(self): + return expr + return self + + +############################################################################### +######################## FACTORIAL and MULTI-FACTORIAL ######################## +############################################################################### + + +class factorial(CombinatorialFunction): + r"""Implementation of factorial function over nonnegative integers. + By convention (consistent with the gamma function and the binomial + coefficients), factorial of a negative integer is complex infinity. + + The factorial is very important in combinatorics where it gives + the number of ways in which `n` objects can be permuted. It also + arises in calculus, probability, number theory, etc. + + There is strict relation of factorial with gamma function. In + fact `n! = gamma(n+1)` for nonnegative integers. Rewrite of this + kind is very useful in case of combinatorial simplification. + + Computation of the factorial is done using two algorithms. For + small arguments a precomputed look up table is used. However for bigger + input algorithm Prime-Swing is used. It is the fastest algorithm + known and computes `n!` via prime factorization of special class + of numbers, called here the 'Swing Numbers'. + + Examples + ======== + + >>> from sympy import Symbol, factorial, S + >>> n = Symbol('n', integer=True) + + >>> factorial(0) + 1 + + >>> factorial(7) + 5040 + + >>> factorial(-2) + zoo + + >>> factorial(n) + factorial(n) + + >>> factorial(2*n) + factorial(2*n) + + >>> factorial(S(1)/2) + factorial(1/2) + + See Also + ======== + + factorial2, RisingFactorial, FallingFactorial + """ + + def fdiff(self, argindex=1): + from sympy.functions.special.gamma_functions import (gamma, polygamma) + if argindex == 1: + return gamma(self.args[0] + 1)*polygamma(0, self.args[0] + 1) + else: + raise ArgumentIndexError(self, argindex) + + _small_swing = [ + 1, 1, 1, 3, 3, 15, 5, 35, 35, 315, 63, 693, 231, 3003, 429, 6435, 6435, 109395, + 12155, 230945, 46189, 969969, 88179, 2028117, 676039, 16900975, 1300075, + 35102025, 5014575, 145422675, 9694845, 300540195, 300540195 + ] + + _small_factorials: list[int] = [] + + @classmethod + def _swing(cls, n): + if n < 33: + return cls._small_swing[n] + else: + N, primes = int(_sqrt(n)), [] + + for prime in sieve.primerange(3, N + 1): + p, q = 1, n + + while True: + q //= prime + + if q > 0: + if q & 1 == 1: + p *= prime + else: + break + + if p > 1: + primes.append(p) + + for prime in sieve.primerange(N + 1, n//3 + 1): + if (n // prime) & 1 == 1: + primes.append(prime) + + L_product = prod(sieve.primerange(n//2 + 1, n + 1)) + R_product = prod(primes) + + return L_product*R_product + + @classmethod + def _recursive(cls, n): + if n < 2: + return 1 + else: + return (cls._recursive(n//2)**2)*cls._swing(n) + + @classmethod + def eval(cls, n): + n = sympify(n) + + if n.is_Number: + if n.is_zero: + return S.One + elif n is S.Infinity: + return S.Infinity + elif n.is_Integer: + if n.is_negative: + return S.ComplexInfinity + else: + n = n.p + + if n < 20: + if not cls._small_factorials: + result = 1 + for i in range(1, 20): + result *= i + cls._small_factorials.append(result) + result = cls._small_factorials[n-1] + + # GMPY factorial is faster, use it when available + # + # XXX: There is a sympy.external.gmpy.factorial function + # which provides gmpy.fac if available or the flint version + # if flint is used. It could be used here to avoid the + # conditional logic but it needs to be checked whether the + # pure Python fallback used there is as fast as the + # fallback used here (perhaps the fallback here should be + # moved to sympy.external.ntheory). + elif _gmpy is not None: + result = _gmpy.fac(n) + + else: + bits = bin(n).count('1') + result = cls._recursive(n)*2**(n - bits) + + return Integer(result) + + def _facmod(self, n, q): + res, N = 1, int(_sqrt(n)) + + # Exponent of prime p in n! is e_p(n) = [n/p] + [n/p**2] + ... + # for p > sqrt(n), e_p(n) < sqrt(n), the primes with [n/p] = m, + # occur consecutively and are grouped together in pw[m] for + # simultaneous exponentiation at a later stage + pw = [1]*N + + m = 2 # to initialize the if condition below + for prime in sieve.primerange(2, n + 1): + if m > 1: + m, y = 0, n // prime + while y: + m += y + y //= prime + if m < N: + pw[m] = pw[m]*prime % q + else: + res = res*pow(prime, m, q) % q + + for ex, bs in enumerate(pw): + if ex == 0 or bs == 1: + continue + if bs == 0: + return 0 + res = res*pow(bs, ex, q) % q + + return res + + def _eval_Mod(self, q): + n = self.args[0] + if n.is_integer and n.is_nonnegative and q.is_integer: + aq = abs(q) + d = aq - n + if d.is_nonpositive: + return S.Zero + else: + isprime = aq.is_prime + if d == 1: + # Apply Wilson's theorem (if a natural number n > 1 + # is a prime number, then (n-1)! = -1 mod n) and + # its inverse (if n > 4 is a composite number, then + # (n-1)! = 0 mod n) + if isprime: + return -1 % q + elif isprime is False and (aq - 6).is_nonnegative: + return S.Zero + elif n.is_Integer and q.is_Integer: + n, d, aq = map(int, (n, d, aq)) + if isprime and (d - 1 < n): + fc = self._facmod(d - 1, aq) + fc = pow(fc, aq - 2, aq) + if d%2: + fc = -fc + else: + fc = self._facmod(n, aq) + + return fc % q + + def _eval_rewrite_as_gamma(self, n, piecewise=True, **kwargs): + from sympy.functions.special.gamma_functions import gamma + return gamma(n + 1) + + def _eval_rewrite_as_Product(self, n, **kwargs): + from sympy.concrete.products import Product + if n.is_nonnegative and n.is_integer: + i = Dummy('i', integer=True) + return Product(i, (i, 1, n)) + + def _eval_is_integer(self): + if self.args[0].is_integer and self.args[0].is_nonnegative: + return True + + def _eval_is_positive(self): + if self.args[0].is_integer and self.args[0].is_nonnegative: + return True + + def _eval_is_even(self): + x = self.args[0] + if x.is_integer and x.is_nonnegative: + return (x - 2).is_nonnegative + + def _eval_is_composite(self): + x = self.args[0] + if x.is_integer and x.is_nonnegative: + return (x - 3).is_nonnegative + + def _eval_is_real(self): + x = self.args[0] + if x.is_nonnegative or x.is_noninteger: + return True + + def _eval_as_leading_term(self, x, logx, cdir): + arg = self.args[0].as_leading_term(x) + arg0 = arg.subs(x, 0) + if arg0.is_zero: + return S.One + elif not arg0.is_infinite: + return self.func(arg) + raise PoleError("Cannot expand %s around 0" % (self)) + +class MultiFactorial(CombinatorialFunction): + pass + + +class subfactorial(CombinatorialFunction): + r"""The subfactorial counts the derangements of $n$ items and is + defined for non-negative integers as: + + .. math:: !n = \begin{cases} 1 & n = 0 \\ 0 & n = 1 \\ + (n-1)(!(n-1) + !(n-2)) & n > 1 \end{cases} + + It can also be written as ``int(round(n!/exp(1)))`` but the + recursive definition with caching is implemented for this function. + + An interesting analytic expression is the following [2]_ + + .. math:: !x = \Gamma(x + 1, -1)/e + + which is valid for non-negative integers `x`. The above formula + is not very useful in case of non-integers. `\Gamma(x + 1, -1)` is + single-valued only for integral arguments `x`, elsewhere on the positive + real axis it has an infinite number of branches none of which are real. + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Subfactorial + .. [2] https://mathworld.wolfram.com/Subfactorial.html + + Examples + ======== + + >>> from sympy import subfactorial + >>> from sympy.abc import n + >>> subfactorial(n + 1) + subfactorial(n + 1) + >>> subfactorial(5) + 44 + + See Also + ======== + + factorial, uppergamma, + sympy.utilities.iterables.generate_derangements + """ + + @classmethod + @cacheit + def _eval(self, n): + if not n: + return S.One + elif n == 1: + return S.Zero + else: + z1, z2 = 1, 0 + for i in range(2, n + 1): + z1, z2 = z2, (i - 1)*(z2 + z1) + return z2 + + @classmethod + def eval(cls, arg): + if arg.is_Number: + if arg.is_Integer and arg.is_nonnegative: + return cls._eval(arg) + elif arg is S.NaN: + return S.NaN + elif arg is S.Infinity: + return S.Infinity + + def _eval_is_even(self): + if self.args[0].is_odd and self.args[0].is_nonnegative: + return True + + def _eval_is_integer(self): + if self.args[0].is_integer and self.args[0].is_nonnegative: + return True + + def _eval_rewrite_as_factorial(self, arg, **kwargs): + from sympy.concrete.summations import summation + i = Dummy('i') + f = S.NegativeOne**i / factorial(i) + return factorial(arg) * summation(f, (i, 0, arg)) + + def _eval_rewrite_as_gamma(self, arg, piecewise=True, **kwargs): + from sympy.functions.elementary.exponential import exp + from sympy.functions.special.gamma_functions import (gamma, lowergamma) + return (S.NegativeOne**(arg + 1)*exp(-I*pi*arg)*lowergamma(arg + 1, -1) + + gamma(arg + 1))*exp(-1) + + def _eval_rewrite_as_uppergamma(self, arg, **kwargs): + from sympy.functions.special.gamma_functions import uppergamma + return uppergamma(arg + 1, -1)/S.Exp1 + + def _eval_is_nonnegative(self): + if self.args[0].is_integer and self.args[0].is_nonnegative: + return True + + def _eval_is_odd(self): + if self.args[0].is_even and self.args[0].is_nonnegative: + return True + + +class factorial2(CombinatorialFunction): + r"""The double factorial `n!!`, not to be confused with `(n!)!` + + The double factorial is defined for nonnegative integers and for odd + negative integers as: + + .. math:: n!! = \begin{cases} 1 & n = 0 \\ + n(n-2)(n-4) \cdots 1 & n\ \text{positive odd} \\ + n(n-2)(n-4) \cdots 2 & n\ \text{positive even} \\ + (n+2)!!/(n+2) & n\ \text{negative odd} \end{cases} + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Double_factorial + + Examples + ======== + + >>> from sympy import factorial2, var + >>> n = var('n') + >>> n + n + >>> factorial2(n + 1) + factorial2(n + 1) + >>> factorial2(5) + 15 + >>> factorial2(-1) + 1 + >>> factorial2(-5) + 1/3 + + See Also + ======== + + factorial, RisingFactorial, FallingFactorial + """ + + @classmethod + def eval(cls, arg): + # TODO: extend this to complex numbers? + + if arg.is_Number: + if not arg.is_Integer: + raise ValueError("argument must be nonnegative integer " + "or negative odd integer") + + # This implementation is faster than the recursive one + # It also avoids "maximum recursion depth exceeded" runtime error + if arg.is_nonnegative: + if arg.is_even: + k = arg / 2 + return 2**k * factorial(k) + return factorial(arg) / factorial2(arg - 1) + + + if arg.is_odd: + return arg*(S.NegativeOne)**((1 - arg)/2) / factorial2(-arg) + raise ValueError("argument must be nonnegative integer " + "or negative odd integer") + + + def _eval_is_even(self): + # Double factorial is even for every positive even input + n = self.args[0] + if n.is_integer: + if n.is_odd: + return False + if n.is_even: + if n.is_positive: + return True + if n.is_zero: + return False + + def _eval_is_integer(self): + # Double factorial is an integer for every nonnegative input, and for + # -1 and -3 + n = self.args[0] + if n.is_integer: + if (n + 1).is_nonnegative: + return True + if n.is_odd: + return (n + 3).is_nonnegative + + def _eval_is_odd(self): + # Double factorial is odd for every odd input not smaller than -3, and + # for 0 + n = self.args[0] + if n.is_odd: + return (n + 3).is_nonnegative + if n.is_even: + if n.is_positive: + return False + if n.is_zero: + return True + + def _eval_is_positive(self): + # Double factorial is positive for every nonnegative input, and for + # every odd negative input which is of the form -1-4k for an + # nonnegative integer k + n = self.args[0] + if n.is_integer: + if (n + 1).is_nonnegative: + return True + if n.is_odd: + return ((n + 1) / 2).is_even + + def _eval_rewrite_as_gamma(self, n, piecewise=True, **kwargs): + from sympy.functions.elementary.miscellaneous import sqrt + from sympy.functions.elementary.piecewise import Piecewise + from sympy.functions.special.gamma_functions import gamma + return 2**(n/2)*gamma(n/2 + 1) * Piecewise((1, Eq(Mod(n, 2), 0)), + (sqrt(2/pi), Eq(Mod(n, 2), 1))) + + +############################################################################### +######################## RISING and FALLING FACTORIALS ######################## +############################################################################### + + +class RisingFactorial(CombinatorialFunction): + r""" + Rising factorial (also called Pochhammer symbol [1]_) is a double valued + function arising in concrete mathematics, hypergeometric functions + and series expansions. It is defined by: + + .. math:: \texttt{rf(y, k)} = (x)^k = x \cdot (x+1) \cdots (x+k-1) + + where `x` can be arbitrary expression and `k` is an integer. For + more information check "Concrete mathematics" by Graham, pp. 66 + or visit https://mathworld.wolfram.com/RisingFactorial.html page. + + When `x` is a `~.Poly` instance of degree $\ge 1$ with a single variable, + `(x)^k = x(y) \cdot x(y+1) \cdots x(y+k-1)`, where `y` is the + variable of `x`. This is as described in [2]_. + + Examples + ======== + + >>> from sympy import rf, Poly + >>> from sympy.abc import x + >>> rf(x, 0) + 1 + >>> rf(1, 5) + 120 + >>> rf(x, 5) == x*(1 + x)*(2 + x)*(3 + x)*(4 + x) + True + >>> rf(Poly(x**3, x), 2) + Poly(x**6 + 3*x**5 + 3*x**4 + x**3, x, domain='ZZ') + + Rewriting is complicated unless the relationship between + the arguments is known, but rising factorial can + be rewritten in terms of gamma, factorial, binomial, + and falling factorial. + + >>> from sympy import Symbol, factorial, ff, binomial, gamma + >>> n = Symbol('n', integer=True, positive=True) + >>> R = rf(n, n + 2) + >>> for i in (rf, ff, factorial, binomial, gamma): + ... R.rewrite(i) + ... + RisingFactorial(n, n + 2) + FallingFactorial(2*n + 1, n + 2) + factorial(2*n + 1)/factorial(n - 1) + binomial(2*n + 1, n + 2)*factorial(n + 2) + gamma(2*n + 2)/gamma(n) + + See Also + ======== + + factorial, factorial2, FallingFactorial + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Pochhammer_symbol + .. [2] Peter Paule, "Greatest Factorial Factorization and Symbolic + Summation", Journal of Symbolic Computation, vol. 20, pp. 235-268, + 1995. + + """ + + @classmethod + def eval(cls, x, k): + x = sympify(x) + k = sympify(k) + + if x is S.NaN or k is S.NaN: + return S.NaN + elif x is S.One: + return factorial(k) + elif k.is_Integer: + if k.is_zero: + return S.One + else: + if k.is_positive: + if x is S.Infinity: + return S.Infinity + elif x is S.NegativeInfinity: + if k.is_odd: + return S.NegativeInfinity + else: + return S.Infinity + else: + if isinstance(x, Poly): + gens = x.gens + if len(gens)!= 1: + raise ValueError("rf only defined for " + "polynomials on one generator") + else: + return reduce(lambda r, i: + r*(x.shift(i)), + range(int(k)), 1) + else: + return reduce(lambda r, i: r*(x + i), + range(int(k)), 1) + + else: + if x is S.Infinity: + return S.Infinity + elif x is S.NegativeInfinity: + return S.Infinity + else: + if isinstance(x, Poly): + gens = x.gens + if len(gens)!= 1: + raise ValueError("rf only defined for " + "polynomials on one generator") + else: + return 1/reduce(lambda r, i: + r*(x.shift(-i)), + range(1, abs(int(k)) + 1), 1) + else: + return 1/reduce(lambda r, i: + r*(x - i), + range(1, abs(int(k)) + 1), 1) + + if k.is_integer == False: + if x.is_integer and x.is_negative: + return S.Zero + + def _eval_rewrite_as_gamma(self, x, k, piecewise=True, **kwargs): + from sympy.functions.elementary.piecewise import Piecewise + from sympy.functions.special.gamma_functions import gamma + if not piecewise: + if (x <= 0) == True: + return S.NegativeOne**k*gamma(1 - x) / gamma(-k - x + 1) + return gamma(x + k) / gamma(x) + return Piecewise( + (gamma(x + k) / gamma(x), x > 0), + (S.NegativeOne**k*gamma(1 - x) / gamma(-k - x + 1), True)) + + def _eval_rewrite_as_FallingFactorial(self, x, k, **kwargs): + return FallingFactorial(x + k - 1, k) + + def _eval_rewrite_as_factorial(self, x, k, **kwargs): + from sympy.functions.elementary.piecewise import Piecewise + if x.is_integer and k.is_integer: + return Piecewise( + (factorial(k + x - 1)/factorial(x - 1), x > 0), + (S.NegativeOne**k*factorial(-x)/factorial(-k - x), True)) + + def _eval_rewrite_as_binomial(self, x, k, **kwargs): + if k.is_integer: + return factorial(k) * binomial(x + k - 1, k) + + def _eval_rewrite_as_tractable(self, x, k, limitvar=None, **kwargs): + from sympy.functions.special.gamma_functions import gamma + if limitvar: + k_lim = k.subs(limitvar, S.Infinity) + if k_lim is S.Infinity: + return (gamma(x + k).rewrite('tractable', deep=True) / gamma(x)) + elif k_lim is S.NegativeInfinity: + return (S.NegativeOne**k*gamma(1 - x) / gamma(-k - x + 1).rewrite('tractable', deep=True)) + return self.rewrite(gamma).rewrite('tractable', deep=True) + + def _eval_is_integer(self): + return fuzzy_and((self.args[0].is_integer, self.args[1].is_integer, + self.args[1].is_nonnegative)) + + +class FallingFactorial(CombinatorialFunction): + r""" + Falling factorial (related to rising factorial) is a double valued + function arising in concrete mathematics, hypergeometric functions + and series expansions. It is defined by + + .. math:: \texttt{ff(x, k)} = (x)_k = x \cdot (x-1) \cdots (x-k+1) + + where `x` can be arbitrary expression and `k` is an integer. For + more information check "Concrete mathematics" by Graham, pp. 66 + or [1]_. + + When `x` is a `~.Poly` instance of degree $\ge 1$ with single variable, + `(x)_k = x(y) \cdot x(y-1) \cdots x(y-k+1)`, where `y` is the + variable of `x`. This is as described in + + >>> from sympy import ff, Poly, Symbol + >>> from sympy.abc import x + >>> n = Symbol('n', integer=True) + + >>> ff(x, 0) + 1 + >>> ff(5, 5) + 120 + >>> ff(x, 5) == x*(x - 1)*(x - 2)*(x - 3)*(x - 4) + True + >>> ff(Poly(x**2, x), 2) + Poly(x**4 - 2*x**3 + x**2, x, domain='ZZ') + >>> ff(n, n) + factorial(n) + + Rewriting is complicated unless the relationship between + the arguments is known, but falling factorial can + be rewritten in terms of gamma, factorial and binomial + and rising factorial. + + >>> from sympy import factorial, rf, gamma, binomial, Symbol + >>> n = Symbol('n', integer=True, positive=True) + >>> F = ff(n, n - 2) + >>> for i in (rf, ff, factorial, binomial, gamma): + ... F.rewrite(i) + ... + RisingFactorial(3, n - 2) + FallingFactorial(n, n - 2) + factorial(n)/2 + binomial(n, n - 2)*factorial(n - 2) + gamma(n + 1)/2 + + See Also + ======== + + factorial, factorial2, RisingFactorial + + References + ========== + + .. [1] https://mathworld.wolfram.com/FallingFactorial.html + .. [2] Peter Paule, "Greatest Factorial Factorization and Symbolic + Summation", Journal of Symbolic Computation, vol. 20, pp. 235-268, + 1995. + + """ + + @classmethod + def eval(cls, x, k): + x = sympify(x) + k = sympify(k) + + if x is S.NaN or k is S.NaN: + return S.NaN + elif k.is_integer and x == k: + return factorial(x) + elif k.is_Integer: + if k.is_zero: + return S.One + else: + if k.is_positive: + if x is S.Infinity: + return S.Infinity + elif x is S.NegativeInfinity: + if k.is_odd: + return S.NegativeInfinity + else: + return S.Infinity + else: + if isinstance(x, Poly): + gens = x.gens + if len(gens)!= 1: + raise ValueError("ff only defined for " + "polynomials on one generator") + else: + return reduce(lambda r, i: + r*(x.shift(-i)), + range(int(k)), 1) + else: + return reduce(lambda r, i: r*(x - i), + range(int(k)), 1) + else: + if x is S.Infinity: + return S.Infinity + elif x is S.NegativeInfinity: + return S.Infinity + else: + if isinstance(x, Poly): + gens = x.gens + if len(gens)!= 1: + raise ValueError("rf only defined for " + "polynomials on one generator") + else: + return 1/reduce(lambda r, i: + r*(x.shift(i)), + range(1, abs(int(k)) + 1), 1) + else: + return 1/reduce(lambda r, i: r*(x + i), + range(1, abs(int(k)) + 1), 1) + + def _eval_rewrite_as_gamma(self, x, k, piecewise=True, **kwargs): + from sympy.functions.elementary.piecewise import Piecewise + from sympy.functions.special.gamma_functions import gamma + if not piecewise: + if (x < 0) == True: + return S.NegativeOne**k*gamma(k - x) / gamma(-x) + return gamma(x + 1) / gamma(x - k + 1) + return Piecewise( + (gamma(x + 1) / gamma(x - k + 1), x >= 0), + (S.NegativeOne**k*gamma(k - x) / gamma(-x), True)) + + def _eval_rewrite_as_RisingFactorial(self, x, k, **kwargs): + return rf(x - k + 1, k) + + def _eval_rewrite_as_binomial(self, x, k, **kwargs): + if k.is_integer: + return factorial(k) * binomial(x, k) + + def _eval_rewrite_as_factorial(self, x, k, **kwargs): + from sympy.functions.elementary.piecewise import Piecewise + if x.is_integer and k.is_integer: + return Piecewise( + (factorial(x)/factorial(-k + x), x >= 0), + (S.NegativeOne**k*factorial(k - x - 1)/factorial(-x - 1), True)) + + def _eval_rewrite_as_tractable(self, x, k, limitvar=None, **kwargs): + from sympy.functions.special.gamma_functions import gamma + if limitvar: + k_lim = k.subs(limitvar, S.Infinity) + if k_lim is S.Infinity: + return (S.NegativeOne**k*gamma(k - x).rewrite('tractable', deep=True) / gamma(-x)) + elif k_lim is S.NegativeInfinity: + return (gamma(x + 1) / gamma(x - k + 1).rewrite('tractable', deep=True)) + return self.rewrite(gamma).rewrite('tractable', deep=True) + + def _eval_is_integer(self): + return fuzzy_and((self.args[0].is_integer, self.args[1].is_integer, + self.args[1].is_nonnegative)) + + +rf = RisingFactorial +ff = FallingFactorial + +############################################################################### +########################### BINOMIAL COEFFICIENTS ############################# +############################################################################### + + +class binomial(CombinatorialFunction): + r"""Implementation of the binomial coefficient. It can be defined + in two ways depending on its desired interpretation: + + .. math:: \binom{n}{k} = \frac{n!}{k!(n-k)!}\ \text{or}\ + \binom{n}{k} = \frac{(n)_k}{k!} + + First, in a strict combinatorial sense it defines the + number of ways we can choose `k` elements from a set of + `n` elements. In this case both arguments are nonnegative + integers and binomial is computed using an efficient + algorithm based on prime factorization. + + The other definition is generalization for arbitrary `n`, + however `k` must also be nonnegative. This case is very + useful when evaluating summations. + + For the sake of convenience, for negative integer `k` this function + will return zero no matter the other argument. + + To expand the binomial when `n` is a symbol, use either + ``expand_func()`` or ``expand(func=True)``. The former will keep + the polynomial in factored form while the latter will expand the + polynomial itself. See examples for details. + + Examples + ======== + + >>> from sympy import Symbol, Rational, binomial, expand_func + >>> n = Symbol('n', integer=True, positive=True) + + >>> binomial(15, 8) + 6435 + + >>> binomial(n, -1) + 0 + + Rows of Pascal's triangle can be generated with the binomial function: + + >>> for N in range(8): + ... print([binomial(N, i) for i in range(N + 1)]) + ... + [1] + [1, 1] + [1, 2, 1] + [1, 3, 3, 1] + [1, 4, 6, 4, 1] + [1, 5, 10, 10, 5, 1] + [1, 6, 15, 20, 15, 6, 1] + [1, 7, 21, 35, 35, 21, 7, 1] + + As can a given diagonal, e.g. the 4th diagonal: + + >>> N = -4 + >>> [binomial(N, i) for i in range(1 - N)] + [1, -4, 10, -20, 35] + + >>> binomial(Rational(5, 4), 3) + -5/128 + >>> binomial(Rational(-5, 4), 3) + -195/128 + + >>> binomial(n, 3) + binomial(n, 3) + + >>> binomial(n, 3).expand(func=True) + n**3/6 - n**2/2 + n/3 + + >>> expand_func(binomial(n, 3)) + n*(n - 2)*(n - 1)/6 + + In many cases, we can also compute binomial coefficients modulo a + prime p quickly using Lucas' Theorem [2]_, though we need to include + `evaluate=False` to postpone evaluation: + + >>> from sympy import Mod + >>> Mod(binomial(156675, 4433, evaluate=False), 10**5 + 3) + 28625 + + Using a generalisation of Lucas's Theorem given by Granville [3]_, + we can extend this to arbitrary n: + + >>> Mod(binomial(10**18, 10**12, evaluate=False), (10**5 + 3)**2) + 3744312326 + + References + ========== + + .. [1] https://www.johndcook.com/blog/binomial_coefficients/ + .. [2] https://en.wikipedia.org/wiki/Lucas%27s_theorem + .. [3] Binomial coefficients modulo prime powers, Andrew Granville, + Available: https://web.archive.org/web/20170202003812/http://www.dms.umontreal.ca/~andrew/PDF/BinCoeff.pdf + """ + + def fdiff(self, argindex=1): + from sympy.functions.special.gamma_functions import polygamma + if argindex == 1: + # https://functions.wolfram.com/GammaBetaErf/Binomial/20/01/01/ + n, k = self.args + return binomial(n, k)*(polygamma(0, n + 1) - \ + polygamma(0, n - k + 1)) + elif argindex == 2: + # https://functions.wolfram.com/GammaBetaErf/Binomial/20/01/02/ + n, k = self.args + return binomial(n, k)*(polygamma(0, n - k + 1) - \ + polygamma(0, k + 1)) + else: + raise ArgumentIndexError(self, argindex) + + @classmethod + def _eval(self, n, k): + # n.is_Number and k.is_Integer and k != 1 and n != k + + if k.is_Integer: + if n.is_Integer and n >= 0: + n, k = int(n), int(k) + + if k > n: + return S.Zero + elif k > n // 2: + k = n - k + + # XXX: This conditional logic should be moved to + # sympy.external.gmpy and the pure Python version of bincoef + # should be moved to sympy.external.ntheory. + if _gmpy is not None: + return Integer(_gmpy.bincoef(n, k)) + + d, result = n - k, 1 + for i in range(1, k + 1): + d += 1 + result = result * d // i + return Integer(result) + else: + d, result = n - k, 1 + for i in range(1, k + 1): + d += 1 + result *= d + return result / _factorial(k) + + @classmethod + def eval(cls, n, k): + n, k = map(sympify, (n, k)) + d = n - k + n_nonneg, n_isint = n.is_nonnegative, n.is_integer + if k.is_zero or ((n_nonneg or n_isint is False) + and d.is_zero): + return S.One + if (k - 1).is_zero or ((n_nonneg or n_isint is False) + and (d - 1).is_zero): + return n + if k.is_integer: + if k.is_negative or (n_nonneg and n_isint and d.is_negative): + return S.Zero + elif n.is_number: + res = cls._eval(n, k) + return res.expand(basic=True) if res else res + elif n_nonneg is False and n_isint: + # a special case when binomial evaluates to complex infinity + return S.ComplexInfinity + elif k.is_number: + from sympy.functions.special.gamma_functions import gamma + return gamma(n + 1)/(gamma(k + 1)*gamma(n - k + 1)) + + def _eval_Mod(self, q): + n, k = self.args + + if any(x.is_integer is False for x in (n, k, q)): + raise ValueError("Integers expected for binomial Mod") + + if all(x.is_Integer for x in (n, k, q)): + n, k = map(int, (n, k)) + aq, res = abs(q), 1 + + # handle negative integers k or n + if k < 0: + return S.Zero + if n < 0: + n = -n + k - 1 + res = -1 if k%2 else 1 + + # non negative integers k and n + if k > n: + return S.Zero + + isprime = aq.is_prime + aq = int(aq) + if isprime: + if aq < n: + # use Lucas Theorem + N, K = n, k + while N or K: + res = res*binomial(N % aq, K % aq) % aq + N, K = N // aq, K // aq + + else: + # use Factorial Modulo + d = n - k + if k > d: + k, d = d, k + kf = 1 + for i in range(2, k + 1): + kf = kf*i % aq + df = kf + for i in range(k + 1, d + 1): + df = df*i % aq + res *= df + for i in range(d + 1, n + 1): + res = res*i % aq + + res *= pow(kf*df % aq, aq - 2, aq) + res %= aq + + elif _sqrt(q) < k and q != 1: + res = binomial_mod(n, k, q) + + else: + # Binomial Factorization is performed by calculating the + # exponents of primes <= n in `n! /(k! (n - k)!)`, + # for non-negative integers n and k. As the exponent of + # prime in n! is e_p(n) = [n/p] + [n/p**2] + ... + # the exponent of prime in binomial(n, k) would be + # e_p(n) - e_p(k) - e_p(n - k) + M = int(_sqrt(n)) + for prime in sieve.primerange(2, n + 1): + if prime > n - k: + res = res*prime % aq + elif prime > n // 2: + continue + elif prime > M: + if n % prime < k % prime: + res = res*prime % aq + else: + N, K = n, k + exp = a = 0 + + while N > 0: + a = int((N % prime) < (K % prime + a)) + N, K = N // prime, K // prime + exp += a + + if exp > 0: + res *= pow(prime, exp, aq) + res %= aq + + return S(res % q) + + def _eval_expand_func(self, **hints): + """ + Function to expand binomial(n, k) when m is positive integer + Also, + n is self.args[0] and k is self.args[1] while using binomial(n, k) + """ + n = self.args[0] + if n.is_Number: + return binomial(*self.args) + + k = self.args[1] + if (n-k).is_Integer: + k = n - k + + if k.is_Integer: + if k.is_zero: + return S.One + elif k.is_negative: + return S.Zero + else: + n, result = self.args[0], 1 + for i in range(1, k + 1): + result *= n - k + i + return result / _factorial(k) + else: + return binomial(*self.args) + + def _eval_rewrite_as_factorial(self, n, k, **kwargs): + return factorial(n)/(factorial(k)*factorial(n - k)) + + def _eval_rewrite_as_gamma(self, n, k, piecewise=True, **kwargs): + from sympy.functions.special.gamma_functions import gamma + return gamma(n + 1)/(gamma(k + 1)*gamma(n - k + 1)) + + def _eval_rewrite_as_tractable(self, n, k, limitvar=None, **kwargs): + return self._eval_rewrite_as_gamma(n, k).rewrite('tractable') + + def _eval_rewrite_as_FallingFactorial(self, n, k, **kwargs): + if k.is_integer: + return ff(n, k) / factorial(k) + + def _eval_is_integer(self): + n, k = self.args + if n.is_integer and k.is_integer: + return True + elif k.is_integer is False: + return False + + def _eval_is_nonnegative(self): + n, k = self.args + if n.is_integer and k.is_integer: + if n.is_nonnegative or k.is_negative or k.is_even: + return True + elif k.is_even is False: + return False + + def _eval_as_leading_term(self, x, logx, cdir): + from sympy.functions.special.gamma_functions import gamma + return self.rewrite(gamma)._eval_as_leading_term(x, logx=logx, cdir=cdir) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/combinatorial/numbers.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/combinatorial/numbers.py new file mode 100644 index 0000000000000000000000000000000000000000..c0dfc518d4a6784712341edaa5731145469a8d1e --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/combinatorial/numbers.py @@ -0,0 +1,3196 @@ +""" +This module implements some special functions that commonly appear in +combinatorial contexts (e.g. in power series); in particular, +sequences of rational numbers such as Bernoulli and Fibonacci numbers. + +Factorials, binomial coefficients and related functions are located in +the separate 'factorials' module. +""" +from __future__ import annotations +from math import prod +from collections import defaultdict +from typing import Callable + +from sympy.core import S, Symbol, Add, Dummy +from sympy.core.cache import cacheit +from sympy.core.containers import Dict +from sympy.core.expr import Expr +from sympy.core.function import ArgumentIndexError, DefinedFunction, expand_mul +from sympy.core.logic import fuzzy_not +from sympy.core.mul import Mul +from sympy.core.numbers import E, I, pi, oo, Rational, Integer +from sympy.core.relational import Eq, is_le, is_gt, is_lt +from sympy.external.gmpy import SYMPY_INTS, remove, lcm, legendre, jacobi, kronecker +from sympy.functions.combinatorial.factorials import (binomial, + factorial, subfactorial) +from sympy.functions.elementary.exponential import log +from sympy.functions.elementary.piecewise import Piecewise +from sympy.ntheory.factor_ import (factorint, _divisor_sigma, is_carmichael, + find_carmichael_numbers_in_range, find_first_n_carmichaels) +from sympy.ntheory.generate import _primepi +from sympy.ntheory.partitions_ import _partition, _partition_rec +from sympy.ntheory.primetest import isprime, is_square +from sympy.polys.appellseqs import bernoulli_poly, euler_poly, genocchi_poly +from sympy.polys.polytools import cancel +from sympy.utilities.enumerative import MultisetPartitionTraverser +from sympy.utilities.exceptions import sympy_deprecation_warning +from sympy.utilities.iterables import multiset, multiset_derangements, iterable +from sympy.utilities.memoization import recurrence_memo +from sympy.utilities.misc import as_int + +from mpmath import mp, workprec +from mpmath.libmp import ifib as _ifib + + +def _product(a, b): + return prod(range(a, b + 1)) + + +# Dummy symbol used for computing polynomial sequences +_sym = Symbol('x') + + +#----------------------------------------------------------------------------# +# # +# Carmichael numbers # +# # +#----------------------------------------------------------------------------# + +class carmichael(DefinedFunction): + r""" + Carmichael Numbers: + + Certain cryptographic algorithms make use of big prime numbers. + However, checking whether a big number is prime is not so easy. + Randomized prime number checking tests exist that offer a high degree of + confidence of accurate determination at low cost, such as the Fermat test. + + Let 'a' be a random number between $2$ and $n - 1$, where $n$ is the + number whose primality we are testing. Then, $n$ is probably prime if it + satisfies the modular arithmetic congruence relation: + + .. math :: a^{n-1} = 1 \pmod{n} + + (where mod refers to the modulo operation) + + If a number passes the Fermat test several times, then it is prime with a + high probability. + + Unfortunately, certain composite numbers (non-primes) still pass the Fermat + test with every number smaller than themselves. + These numbers are called Carmichael numbers. + + A Carmichael number will pass a Fermat primality test to every base $b$ + relatively prime to the number, even though it is not actually prime. + This makes tests based on Fermat's Little Theorem less effective than + strong probable prime tests such as the Baillie-PSW primality test and + the Miller-Rabin primality test. + + Examples + ======== + + >>> from sympy.ntheory.factor_ import find_first_n_carmichaels, find_carmichael_numbers_in_range + >>> find_first_n_carmichaels(5) + [561, 1105, 1729, 2465, 2821] + >>> find_carmichael_numbers_in_range(0, 562) + [561] + >>> find_carmichael_numbers_in_range(0,1000) + [561] + >>> find_carmichael_numbers_in_range(0,2000) + [561, 1105, 1729] + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Carmichael_number + .. [2] https://en.wikipedia.org/wiki/Fermat_primality_test + .. [3] https://www.jstor.org/stable/23248683?seq=1#metadata_info_tab_contents + """ + + @staticmethod + def is_perfect_square(n): + sympy_deprecation_warning( + """ +is_perfect_square is just a wrapper around sympy.ntheory.primetest.is_square +so use that directly instead. + """, + deprecated_since_version="1.11", + active_deprecations_target='deprecated-carmichael-static-methods', + ) + return is_square(n) + + @staticmethod + def divides(p, n): + sympy_deprecation_warning( + """ + divides can be replaced by directly testing n % p == 0. + """, + deprecated_since_version="1.11", + active_deprecations_target='deprecated-carmichael-static-methods', + ) + return n % p == 0 + + @staticmethod + def is_prime(n): + sympy_deprecation_warning( + """ +is_prime is just a wrapper around sympy.ntheory.primetest.isprime so use that +directly instead. + """, + deprecated_since_version="1.11", + active_deprecations_target='deprecated-carmichael-static-methods', + ) + return isprime(n) + + @staticmethod + def is_carmichael(n): + sympy_deprecation_warning( + """ +is_carmichael is just a wrapper around sympy.ntheory.factor_.is_carmichael so use that +directly instead. + """, + deprecated_since_version="1.13", + active_deprecations_target='deprecated-ntheory-symbolic-functions', + ) + return is_carmichael(n) + + @staticmethod + def find_carmichael_numbers_in_range(x, y): + sympy_deprecation_warning( + """ +find_carmichael_numbers_in_range is just a wrapper around sympy.ntheory.factor_.find_carmichael_numbers_in_range so use that +directly instead. + """, + deprecated_since_version="1.13", + active_deprecations_target='deprecated-ntheory-symbolic-functions', + ) + return find_carmichael_numbers_in_range(x, y) + + @staticmethod + def find_first_n_carmichaels(n): + sympy_deprecation_warning( + """ +find_first_n_carmichaels is just a wrapper around sympy.ntheory.factor_.find_first_n_carmichaels so use that +directly instead. + """, + deprecated_since_version="1.13", + active_deprecations_target='deprecated-ntheory-symbolic-functions', + ) + return find_first_n_carmichaels(n) + + +#----------------------------------------------------------------------------# +# # +# Fibonacci numbers # +# # +#----------------------------------------------------------------------------# + + +class fibonacci(DefinedFunction): + r""" + Fibonacci numbers / Fibonacci polynomials + + The Fibonacci numbers are the integer sequence defined by the + initial terms `F_0 = 0`, `F_1 = 1` and the two-term recurrence + relation `F_n = F_{n-1} + F_{n-2}`. This definition + extended to arbitrary real and complex arguments using + the formula + + .. math :: F_z = \frac{\phi^z - \cos(\pi z) \phi^{-z}}{\sqrt 5} + + The Fibonacci polynomials are defined by `F_1(x) = 1`, + `F_2(x) = x`, and `F_n(x) = x*F_{n-1}(x) + F_{n-2}(x)` for `n > 2`. + For all positive integers `n`, `F_n(1) = F_n`. + + * ``fibonacci(n)`` gives the `n^{th}` Fibonacci number, `F_n` + * ``fibonacci(n, x)`` gives the `n^{th}` Fibonacci polynomial in `x`, `F_n(x)` + + Examples + ======== + + >>> from sympy import fibonacci, Symbol + + >>> [fibonacci(x) for x in range(11)] + [0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55] + >>> fibonacci(5, Symbol('t')) + t**4 + 3*t**2 + 1 + + See Also + ======== + + bell, bernoulli, catalan, euler, harmonic, lucas, genocchi, partition, tribonacci + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Fibonacci_number + .. [2] https://mathworld.wolfram.com/FibonacciNumber.html + + """ + + @staticmethod + def _fib(n): + return _ifib(n) + + @staticmethod + @recurrence_memo([None, S.One, _sym]) + def _fibpoly(n, prev): + return (prev[-2] + _sym*prev[-1]).expand() + + @classmethod + def eval(cls, n, sym=None): + if n is S.Infinity: + return S.Infinity + + if n.is_Integer: + if sym is None: + n = int(n) + if n < 0: + return S.NegativeOne**(n + 1) * fibonacci(-n) + else: + return Integer(cls._fib(n)) + else: + if n < 1: + raise ValueError("Fibonacci polynomials are defined " + "only for positive integer indices.") + return cls._fibpoly(n).subs(_sym, sym) + + def _eval_rewrite_as_tractable(self, n, **kwargs): + from sympy.functions import sqrt, cos + return (S.GoldenRatio**n - cos(S.Pi*n)/S.GoldenRatio**n)/sqrt(5) + + def _eval_rewrite_as_sqrt(self, n, **kwargs): + from sympy.functions.elementary.miscellaneous import sqrt + return 2**(-n)*sqrt(5)*((1 + sqrt(5))**n - (-sqrt(5) + 1)**n) / 5 + + def _eval_rewrite_as_GoldenRatio(self,n, **kwargs): + return (S.GoldenRatio**n - 1/(-S.GoldenRatio)**n)/(2*S.GoldenRatio-1) + + +#----------------------------------------------------------------------------# +# # +# Lucas numbers # +# # +#----------------------------------------------------------------------------# + + +class lucas(DefinedFunction): + """ + Lucas numbers + + Lucas numbers satisfy a recurrence relation similar to that of + the Fibonacci sequence, in which each term is the sum of the + preceding two. They are generated by choosing the initial + values `L_0 = 2` and `L_1 = 1`. + + * ``lucas(n)`` gives the `n^{th}` Lucas number + + Examples + ======== + + >>> from sympy import lucas + + >>> [lucas(x) for x in range(11)] + [2, 1, 3, 4, 7, 11, 18, 29, 47, 76, 123] + + See Also + ======== + + bell, bernoulli, catalan, euler, fibonacci, harmonic, genocchi, partition, tribonacci + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Lucas_number + .. [2] https://mathworld.wolfram.com/LucasNumber.html + + """ + + @classmethod + def eval(cls, n): + if n is S.Infinity: + return S.Infinity + + if n.is_Integer: + return fibonacci(n + 1) + fibonacci(n - 1) + + def _eval_rewrite_as_sqrt(self, n, **kwargs): + from sympy.functions.elementary.miscellaneous import sqrt + return 2**(-n)*((1 + sqrt(5))**n + (-sqrt(5) + 1)**n) + + +#----------------------------------------------------------------------------# +# # +# Tribonacci numbers # +# # +#----------------------------------------------------------------------------# + + +class tribonacci(DefinedFunction): + r""" + Tribonacci numbers / Tribonacci polynomials + + The Tribonacci numbers are the integer sequence defined by the + initial terms `T_0 = 0`, `T_1 = 1`, `T_2 = 1` and the three-term + recurrence relation `T_n = T_{n-1} + T_{n-2} + T_{n-3}`. + + The Tribonacci polynomials are defined by `T_0(x) = 0`, `T_1(x) = 1`, + `T_2(x) = x^2`, and `T_n(x) = x^2 T_{n-1}(x) + x T_{n-2}(x) + T_{n-3}(x)` + for `n > 2`. For all positive integers `n`, `T_n(1) = T_n`. + + * ``tribonacci(n)`` gives the `n^{th}` Tribonacci number, `T_n` + * ``tribonacci(n, x)`` gives the `n^{th}` Tribonacci polynomial in `x`, `T_n(x)` + + Examples + ======== + + >>> from sympy import tribonacci, Symbol + + >>> [tribonacci(x) for x in range(11)] + [0, 1, 1, 2, 4, 7, 13, 24, 44, 81, 149] + >>> tribonacci(5, Symbol('t')) + t**8 + 3*t**5 + 3*t**2 + + See Also + ======== + + bell, bernoulli, catalan, euler, fibonacci, harmonic, lucas, genocchi, partition + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Generalizations_of_Fibonacci_numbers#Tribonacci_numbers + .. [2] https://mathworld.wolfram.com/TribonacciNumber.html + .. [3] https://oeis.org/A000073 + + """ + + @staticmethod + @recurrence_memo([S.Zero, S.One, S.One]) + def _trib(n, prev): + return (prev[-3] + prev[-2] + prev[-1]) + + @staticmethod + @recurrence_memo([S.Zero, S.One, _sym**2]) + def _tribpoly(n, prev): + return (prev[-3] + _sym*prev[-2] + _sym**2*prev[-1]).expand() + + @classmethod + def eval(cls, n, sym=None): + if n is S.Infinity: + return S.Infinity + + if n.is_Integer: + n = int(n) + if n < 0: + raise ValueError("Tribonacci polynomials are defined " + "only for non-negative integer indices.") + if sym is None: + return Integer(cls._trib(n)) + else: + return cls._tribpoly(n).subs(_sym, sym) + + def _eval_rewrite_as_sqrt(self, n, **kwargs): + from sympy.functions.elementary.miscellaneous import cbrt, sqrt + w = (-1 + S.ImaginaryUnit * sqrt(3)) / 2 + a = (1 + cbrt(19 + 3*sqrt(33)) + cbrt(19 - 3*sqrt(33))) / 3 + b = (1 + w*cbrt(19 + 3*sqrt(33)) + w**2*cbrt(19 - 3*sqrt(33))) / 3 + c = (1 + w**2*cbrt(19 + 3*sqrt(33)) + w*cbrt(19 - 3*sqrt(33))) / 3 + Tn = (a**(n + 1)/((a - b)*(a - c)) + + b**(n + 1)/((b - a)*(b - c)) + + c**(n + 1)/((c - a)*(c - b))) + return Tn + + def _eval_rewrite_as_TribonacciConstant(self, n, **kwargs): + from sympy.functions.elementary.integers import floor + from sympy.functions.elementary.miscellaneous import cbrt, sqrt + b = cbrt(586 + 102*sqrt(33)) + Tn = 3 * b * S.TribonacciConstant**n / (b**2 - 2*b + 4) + return floor(Tn + S.Half) + + +#----------------------------------------------------------------------------# +# # +# Bernoulli numbers # +# # +#----------------------------------------------------------------------------# + + +class bernoulli(DefinedFunction): + r""" + Bernoulli numbers / Bernoulli polynomials / Bernoulli function + + The Bernoulli numbers are a sequence of rational numbers + defined by `B_0 = 1` and the recursive relation (`n > 0`): + + .. math :: n+1 = \sum_{k=0}^n \binom{n+1}{k} B_k + + They are also commonly defined by their exponential generating + function, which is `\frac{x}{1 - e^{-x}}`. For odd indices > 1, + the Bernoulli numbers are zero. + + The Bernoulli polynomials satisfy the analogous formula: + + .. math :: B_n(x) = \sum_{k=0}^n (-1)^k \binom{n}{k} B_k x^{n-k} + + Bernoulli numbers and Bernoulli polynomials are related as + `B_n(1) = B_n`. + + The generalized Bernoulli function `\operatorname{B}(s, a)` + is defined for any complex `s` and `a`, except where `a` is a + nonpositive integer and `s` is not a nonnegative integer. It is + an entire function of `s` for fixed `a`, related to the Hurwitz + zeta function by + + .. math:: \operatorname{B}(s, a) = \begin{cases} + -s \zeta(1-s, a) & s \ne 0 \\ 1 & s = 0 \end{cases} + + When `s` is a nonnegative integer this function reduces to the + Bernoulli polynomials: `\operatorname{B}(n, x) = B_n(x)`. When + `a` is omitted it is assumed to be 1, yielding the (ordinary) + Bernoulli function which interpolates the Bernoulli numbers and is + related to the Riemann zeta function. + + We compute Bernoulli numbers using Ramanujan's formula: + + .. math :: B_n = \frac{A(n) - S(n)}{\binom{n+3}{n}} + + where: + + .. math :: A(n) = \begin{cases} \frac{n+3}{3} & + n \equiv 0\ \text{or}\ 2 \pmod{6} \\ + -\frac{n+3}{6} & n \equiv 4 \pmod{6} \end{cases} + + and: + + .. math :: S(n) = \sum_{k=1}^{[n/6]} \binom{n+3}{n-6k} B_{n-6k} + + This formula is similar to the sum given in the definition, but + cuts `\frac{2}{3}` of the terms. For Bernoulli polynomials, we use + Appell sequences. + + For `n` a nonnegative integer and `s`, `a`, `x` arbitrary complex numbers, + + * ``bernoulli(n)`` gives the nth Bernoulli number, `B_n` + * ``bernoulli(s)`` gives the Bernoulli function `\operatorname{B}(s)` + * ``bernoulli(n, x)`` gives the nth Bernoulli polynomial in `x`, `B_n(x)` + * ``bernoulli(s, a)`` gives the generalized Bernoulli function + `\operatorname{B}(s, a)` + + .. versionchanged:: 1.12 + ``bernoulli(1)`` gives `+\frac{1}{2}` instead of `-\frac{1}{2}`. + This choice of value confers several theoretical advantages [5]_, + including the extension to complex parameters described above + which this function now implements. The previous behavior, defined + only for nonnegative integers `n`, can be obtained with + ``(-1)**n*bernoulli(n)``. + + Examples + ======== + + >>> from sympy import bernoulli + >>> from sympy.abc import x + >>> [bernoulli(n) for n in range(11)] + [1, 1/2, 1/6, 0, -1/30, 0, 1/42, 0, -1/30, 0, 5/66] + >>> bernoulli(1000001) + 0 + >>> bernoulli(3, x) + x**3 - 3*x**2/2 + x/2 + + See Also + ======== + + andre, bell, catalan, euler, fibonacci, harmonic, lucas, genocchi, + partition, tribonacci, sympy.polys.appellseqs.bernoulli_poly + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Bernoulli_number + .. [2] https://en.wikipedia.org/wiki/Bernoulli_polynomial + .. [3] https://mathworld.wolfram.com/BernoulliNumber.html + .. [4] https://mathworld.wolfram.com/BernoulliPolynomial.html + .. [5] Peter Luschny, "The Bernoulli Manifesto", + https://luschny.de/math/zeta/The-Bernoulli-Manifesto.html + .. [6] Peter Luschny, "An introduction to the Bernoulli function", + https://arxiv.org/abs/2009.06743 + + """ + + args: tuple[Integer] + + # Calculates B_n for positive even n + @staticmethod + def _calc_bernoulli(n): + s = 0 + a = int(binomial(n + 3, n - 6)) + for j in range(1, n//6 + 1): + s += a * bernoulli(n - 6*j) + # Avoid computing each binomial coefficient from scratch + a *= _product(n - 6 - 6*j + 1, n - 6*j) + a //= _product(6*j + 4, 6*j + 9) + if n % 6 == 4: + s = -Rational(n + 3, 6) - s + else: + s = Rational(n + 3, 3) - s + return s / binomial(n + 3, n) + + # We implement a specialized memoization scheme to handle each + # case modulo 6 separately + _cache = {0: S.One, 1: Rational(1, 2), 2: Rational(1, 6), 4: Rational(-1, 30)} + _highest = {0: 0, 1: 1, 2: 2, 4: 4} + + @classmethod + def eval(cls, n, x=None): + if x is S.One: + return cls(n) + elif n.is_zero: + return S.One + elif n.is_integer is False or n.is_nonnegative is False: + if x is not None and x.is_Integer and x.is_nonpositive: + return S.NaN + return + # Bernoulli numbers + elif x is None: + if n is S.One: + return S.Half + elif n.is_odd and (n-1).is_positive: + return S.Zero + elif n.is_Number: + n = int(n) + # Use mpmath for enormous Bernoulli numbers + if n > 500: + p, q = mp.bernfrac(n) + return Rational(int(p), int(q)) + case = n % 6 + highest_cached = cls._highest[case] + if n <= highest_cached: + return cls._cache[n] + # To avoid excessive recursion when, say, bernoulli(1000) is + # requested, calculate and cache the entire sequence ... B_988, + # B_994, B_1000 in increasing order + for i in range(highest_cached + 6, n + 6, 6): + b = cls._calc_bernoulli(i) + cls._cache[i] = b + cls._highest[case] = i + return b + # Bernoulli polynomials + elif n.is_Number: + return bernoulli_poly(n, x) + + def _eval_rewrite_as_zeta(self, n, x=1, **kwargs): + from sympy.functions.special.zeta_functions import zeta + return Piecewise((1, Eq(n, 0)), (-n * zeta(1-n, x), True)) + + def _eval_evalf(self, prec): + if not all(x.is_number for x in self.args): + return + n = self.args[0]._to_mpmath(prec) + x = (self.args[1] if len(self.args) > 1 else S.One)._to_mpmath(prec) + with workprec(prec): + if n == 0: + res = mp.mpf(1) + elif n == 1: + res = x - mp.mpf(0.5) + elif mp.isint(n) and n >= 0: + res = mp.bernoulli(n) if x == 1 else mp.bernpoly(n, x) + else: + res = -n * mp.zeta(1-n, x) + return Expr._from_mpmath(res, prec) + + +#----------------------------------------------------------------------------# +# # +# Bell numbers # +# # +#----------------------------------------------------------------------------# + + +class bell(DefinedFunction): + r""" + Bell numbers / Bell polynomials + + The Bell numbers satisfy `B_0 = 1` and + + .. math:: B_n = \sum_{k=0}^{n-1} \binom{n-1}{k} B_k. + + They are also given by: + + .. math:: B_n = \frac{1}{e} \sum_{k=0}^{\infty} \frac{k^n}{k!}. + + The Bell polynomials are given by `B_0(x) = 1` and + + .. math:: B_n(x) = x \sum_{k=1}^{n-1} \binom{n-1}{k-1} B_{k-1}(x). + + The second kind of Bell polynomials (are sometimes called "partial" Bell + polynomials or incomplete Bell polynomials) are defined as + + .. math:: B_{n,k}(x_1, x_2,\dotsc x_{n-k+1}) = + \sum_{j_1+j_2+j_2+\dotsb=k \atop j_1+2j_2+3j_2+\dotsb=n} + \frac{n!}{j_1!j_2!\dotsb j_{n-k+1}!} + \left(\frac{x_1}{1!} \right)^{j_1} + \left(\frac{x_2}{2!} \right)^{j_2} \dotsb + \left(\frac{x_{n-k+1}}{(n-k+1)!} \right) ^{j_{n-k+1}}. + + * ``bell(n)`` gives the `n^{th}` Bell number, `B_n`. + * ``bell(n, x)`` gives the `n^{th}` Bell polynomial, `B_n(x)`. + * ``bell(n, k, (x1, x2, ...))`` gives Bell polynomials of the second kind, + `B_{n,k}(x_1, x_2, \dotsc, x_{n-k+1})`. + + Notes + ===== + + Not to be confused with Bernoulli numbers and Bernoulli polynomials, + which use the same notation. + + Examples + ======== + + >>> from sympy import bell, Symbol, symbols + + >>> [bell(n) for n in range(11)] + [1, 1, 2, 5, 15, 52, 203, 877, 4140, 21147, 115975] + >>> bell(30) + 846749014511809332450147 + >>> bell(4, Symbol('t')) + t**4 + 6*t**3 + 7*t**2 + t + >>> bell(6, 2, symbols('x:6')[1:]) + 6*x1*x5 + 15*x2*x4 + 10*x3**2 + + See Also + ======== + + bernoulli, catalan, euler, fibonacci, harmonic, lucas, genocchi, partition, tribonacci + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Bell_number + .. [2] https://mathworld.wolfram.com/BellNumber.html + .. [3] https://mathworld.wolfram.com/BellPolynomial.html + + """ + + @staticmethod + @recurrence_memo([1, 1]) + def _bell(n, prev): + s = 1 + a = 1 + for k in range(1, n): + a = a * (n - k) // k + s += a * prev[k] + return s + + @staticmethod + @recurrence_memo([S.One, _sym]) + def _bell_poly(n, prev): + s = 1 + a = 1 + for k in range(2, n + 1): + a = a * (n - k + 1) // (k - 1) + s += a * prev[k - 1] + return expand_mul(_sym * s) + + @staticmethod + def _bell_incomplete_poly(n, k, symbols): + r""" + The second kind of Bell polynomials (incomplete Bell polynomials). + + Calculated by recurrence formula: + + .. math:: B_{n,k}(x_1, x_2, \dotsc, x_{n-k+1}) = + \sum_{m=1}^{n-k+1} + \x_m \binom{n-1}{m-1} B_{n-m,k-1}(x_1, x_2, \dotsc, x_{n-m-k}) + + where + `B_{0,0} = 1;` + `B_{n,0} = 0; for n \ge 1` + `B_{0,k} = 0; for k \ge 1` + + """ + if (n == 0) and (k == 0): + return S.One + elif (n == 0) or (k == 0): + return S.Zero + s = S.Zero + a = S.One + for m in range(1, n - k + 2): + s += a * bell._bell_incomplete_poly( + n - m, k - 1, symbols) * symbols[m - 1] + a = a * (n - m) / m + return expand_mul(s) + + @classmethod + def eval(cls, n, k_sym=None, symbols=None): + if n is S.Infinity: + if k_sym is None: + return S.Infinity + else: + raise ValueError("Bell polynomial is not defined") + + if n.is_negative or n.is_integer is False: + raise ValueError("a non-negative integer expected") + + if n.is_Integer and n.is_nonnegative: + if k_sym is None: + return Integer(cls._bell(int(n))) + elif symbols is None: + return cls._bell_poly(int(n)).subs(_sym, k_sym) + else: + r = cls._bell_incomplete_poly(int(n), int(k_sym), symbols) + return r + + def _eval_rewrite_as_Sum(self, n, k_sym=None, symbols=None, **kwargs): + from sympy.concrete.summations import Sum + if (k_sym is not None) or (symbols is not None): + return self + + # Dobinski's formula + if not n.is_nonnegative: + return self + k = Dummy('k', integer=True, nonnegative=True) + return 1 / E * Sum(k**n / factorial(k), (k, 0, S.Infinity)) + + +#----------------------------------------------------------------------------# +# # +# Harmonic numbers # +# # +#----------------------------------------------------------------------------# + + +class harmonic(DefinedFunction): + r""" + Harmonic numbers + + The nth harmonic number is given by `\operatorname{H}_{n} = + 1 + \frac{1}{2} + \frac{1}{3} + \ldots + \frac{1}{n}`. + + More generally: + + .. math:: \operatorname{H}_{n,m} = \sum_{k=1}^{n} \frac{1}{k^m} + + As `n \rightarrow \infty`, `\operatorname{H}_{n,m} \rightarrow \zeta(m)`, + the Riemann zeta function. + + * ``harmonic(n)`` gives the nth harmonic number, `\operatorname{H}_n` + + * ``harmonic(n, m)`` gives the nth generalized harmonic number + of order `m`, `\operatorname{H}_{n,m}`, where + ``harmonic(n) == harmonic(n, 1)`` + + This function can be extended to complex `n` and `m` where `n` is not a + negative integer or `m` is a nonpositive integer as + + .. math:: \operatorname{H}_{n,m} = \begin{cases} \zeta(m) - \zeta(m, n+1) + & m \ne 1 \\ \psi(n+1) + \gamma & m = 1 \end{cases} + + Examples + ======== + + >>> from sympy import harmonic, oo + + >>> [harmonic(n) for n in range(6)] + [0, 1, 3/2, 11/6, 25/12, 137/60] + >>> [harmonic(n, 2) for n in range(6)] + [0, 1, 5/4, 49/36, 205/144, 5269/3600] + >>> harmonic(oo, 2) + pi**2/6 + + >>> from sympy import Symbol, Sum + >>> n = Symbol("n") + + >>> harmonic(n).rewrite(Sum) + Sum(1/_k, (_k, 1, n)) + + We can evaluate harmonic numbers for all integral and positive + rational arguments: + + >>> from sympy import S, expand_func, simplify + >>> harmonic(8) + 761/280 + >>> harmonic(11) + 83711/27720 + + >>> H = harmonic(1/S(3)) + >>> H + harmonic(1/3) + >>> He = expand_func(H) + >>> He + -log(6) - sqrt(3)*pi/6 + 2*Sum(log(sin(_k*pi/3))*cos(2*_k*pi/3), (_k, 1, 1)) + + 3*Sum(1/(3*_k + 1), (_k, 0, 0)) + >>> He.doit() + -log(6) - sqrt(3)*pi/6 - log(sqrt(3)/2) + 3 + >>> H = harmonic(25/S(7)) + >>> He = simplify(expand_func(H).doit()) + >>> He + log(sin(2*pi/7)**(2*cos(16*pi/7))/(14*sin(pi/7)**(2*cos(pi/7))*cos(pi/14)**(2*sin(pi/14)))) + pi*tan(pi/14)/2 + 30247/9900 + >>> He.n(40) + 1.983697455232980674869851942390639915940 + >>> harmonic(25/S(7)).n(40) + 1.983697455232980674869851942390639915940 + + We can rewrite harmonic numbers in terms of polygamma functions: + + >>> from sympy import digamma, polygamma + >>> m = Symbol("m", integer=True, positive=True) + + >>> harmonic(n).rewrite(digamma) + polygamma(0, n + 1) + EulerGamma + + >>> harmonic(n).rewrite(polygamma) + polygamma(0, n + 1) + EulerGamma + + >>> harmonic(n,3).rewrite(polygamma) + polygamma(2, n + 1)/2 + zeta(3) + + >>> simplify(harmonic(n,m).rewrite(polygamma)) + Piecewise((polygamma(0, n + 1) + EulerGamma, Eq(m, 1)), + (-(-1)**m*polygamma(m - 1, n + 1)/factorial(m - 1) + zeta(m), True)) + + Integer offsets in the argument can be pulled out: + + >>> from sympy import expand_func + + >>> expand_func(harmonic(n+4)) + harmonic(n) + 1/(n + 4) + 1/(n + 3) + 1/(n + 2) + 1/(n + 1) + + >>> expand_func(harmonic(n-4)) + harmonic(n) - 1/(n - 1) - 1/(n - 2) - 1/(n - 3) - 1/n + + Some limits can be computed as well: + + >>> from sympy import limit, oo + + >>> limit(harmonic(n), n, oo) + oo + + >>> limit(harmonic(n, 2), n, oo) + pi**2/6 + + >>> limit(harmonic(n, 3), n, oo) + zeta(3) + + For `m > 1`, `H_{n,m}` tends to `\zeta(m)` in the limit of infinite `n`: + + >>> m = Symbol("m", positive=True) + >>> limit(harmonic(n, m+1), n, oo) + zeta(m + 1) + + See Also + ======== + + bell, bernoulli, catalan, euler, fibonacci, lucas, genocchi, partition, tribonacci + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Harmonic_number + .. [2] https://functions.wolfram.com/GammaBetaErf/HarmonicNumber/ + .. [3] https://functions.wolfram.com/GammaBetaErf/HarmonicNumber2/ + + """ + + # This prevents redundant recalculations and speeds up harmonic number computations. + harmonic_cache: dict[Integer, Callable[[int], Rational]] = {} + + @classmethod + def eval(cls, n, m=None): + from sympy.functions.special.zeta_functions import zeta + if m is S.One: + return cls(n) + if m is None: + m = S.One + if n.is_zero: + return S.Zero + elif m.is_zero: + return n + elif n is S.Infinity: + if m.is_negative: + return S.NaN + elif is_le(m, S.One): + return S.Infinity + elif is_gt(m, S.One): + return zeta(m) + elif m.is_Integer and m.is_nonpositive: + return (bernoulli(1-m, n+1) - bernoulli(1-m)) / (1-m) + elif n.is_Integer: + if n.is_negative and (m.is_integer is False or m.is_nonpositive is False): + return S.ComplexInfinity if m is S.One else S.NaN + if n.is_nonnegative: + if m.is_Integer: + if m not in cls.harmonic_cache: + @recurrence_memo([0]) + def f(n, prev): + return prev[-1] + S.One / n**m + cls.harmonic_cache[m] = f + return cls.harmonic_cache[m](int(n)) + return Add(*(k**(-m) for k in range(1, int(n) + 1))) + + def _eval_rewrite_as_polygamma(self, n, m=S.One, **kwargs): + from sympy.functions.special.gamma_functions import gamma, polygamma + if m.is_integer and m.is_positive: + return Piecewise((polygamma(0, n+1) + S.EulerGamma, Eq(m, 1)), + (S.NegativeOne**m * (polygamma(m-1, 1) - polygamma(m-1, n+1)) / + gamma(m), True)) + + def _eval_rewrite_as_digamma(self, n, m=1, **kwargs): + from sympy.functions.special.gamma_functions import polygamma + return self.rewrite(polygamma) + + def _eval_rewrite_as_trigamma(self, n, m=1, **kwargs): + from sympy.functions.special.gamma_functions import polygamma + return self.rewrite(polygamma) + + def _eval_rewrite_as_Sum(self, n, m=None, **kwargs): + from sympy.concrete.summations import Sum + k = Dummy("k", integer=True) + if m is None: + m = S.One + return Sum(k**(-m), (k, 1, n)) + + def _eval_rewrite_as_zeta(self, n, m=S.One, **kwargs): + from sympy.functions.special.zeta_functions import zeta + from sympy.functions.special.gamma_functions import digamma + return Piecewise((digamma(n + 1) + S.EulerGamma, Eq(m, 1)), + (zeta(m) - zeta(m, n+1), True)) + + def _eval_expand_func(self, **hints): + from sympy.concrete.summations import Sum + n = self.args[0] + m = self.args[1] if len(self.args) == 2 else 1 + + if m == S.One: + if n.is_Add: + off = n.args[0] + nnew = n - off + if off.is_Integer and off.is_positive: + result = [S.One/(nnew + i) for i in range(off, 0, -1)] + [harmonic(nnew)] + return Add(*result) + elif off.is_Integer and off.is_negative: + result = [-S.One/(nnew + i) for i in range(0, off, -1)] + [harmonic(nnew)] + return Add(*result) + + if n.is_Rational: + # Expansions for harmonic numbers at general rational arguments (u + p/q) + # Split n as u + p/q with p < q + p, q = n.as_numer_denom() + u = p // q + p = p - u * q + if u.is_nonnegative and p.is_positive and q.is_positive and p < q: + from sympy.functions.elementary.exponential import log + from sympy.functions.elementary.integers import floor + from sympy.functions.elementary.trigonometric import sin, cos, cot + k = Dummy("k") + t1 = q * Sum(1 / (q * k + p), (k, 0, u)) + t2 = 2 * Sum(cos((2 * pi * p * k) / S(q)) * + log(sin((pi * k) / S(q))), + (k, 1, floor((q - 1) / S(2)))) + t3 = (pi / 2) * cot((pi * p) / q) + log(2 * q) + return t1 + t2 - t3 + + return self + + def _eval_rewrite_as_tractable(self, n, m=1, limitvar=None, **kwargs): + from sympy.functions.special.zeta_functions import zeta + from sympy.functions.special.gamma_functions import polygamma + pg = self.rewrite(polygamma) + if not isinstance(pg, harmonic): + return pg.rewrite("tractable", deep=True) + arg = m - S.One + if arg.is_nonzero: + return (zeta(m) - zeta(m, n+1)).rewrite("tractable", deep=True) + + def _eval_evalf(self, prec): + if not all(x.is_number for x in self.args): + return + n = self.args[0]._to_mpmath(prec) + m = (self.args[1] if len(self.args) > 1 else S.One)._to_mpmath(prec) + if mp.isint(n) and n < 0: + return S.NaN + with workprec(prec): + if m == 1: + res = mp.harmonic(n) + else: + res = mp.zeta(m) - mp.zeta(m, n+1) + return Expr._from_mpmath(res, prec) + + def fdiff(self, argindex=1): + from sympy.functions.special.zeta_functions import zeta + if len(self.args) == 2: + n, m = self.args + else: + n, m = self.args + (1,) + if argindex == 1: + return m * zeta(m+1, n+1) + else: + raise ArgumentIndexError + + +#----------------------------------------------------------------------------# +# # +# Euler numbers # +# # +#----------------------------------------------------------------------------# + + +class euler(DefinedFunction): + r""" + Euler numbers / Euler polynomials / Euler function + + The Euler numbers are given by: + + .. math:: E_{2n} = I \sum_{k=1}^{2n+1} \sum_{j=0}^k \binom{k}{j} + \frac{(-1)^j (k-2j)^{2n+1}}{2^k I^k k} + + .. math:: E_{2n+1} = 0 + + Euler numbers and Euler polynomials are related by + + .. math:: E_n = 2^n E_n\left(\frac{1}{2}\right). + + We compute symbolic Euler polynomials using Appell sequences, + but numerical evaluation of the Euler polynomial is computed + more efficiently (and more accurately) using the mpmath library. + + The Euler polynomials are special cases of the generalized Euler function, + related to the Genocchi function as + + .. math:: \operatorname{E}(s, a) = -\frac{\operatorname{G}(s+1, a)}{s+1} + + with the limit of `\psi\left(\frac{a+1}{2}\right) - \psi\left(\frac{a}{2}\right)` + being taken when `s = -1`. The (ordinary) Euler function interpolating + the Euler numbers is then obtained as + `\operatorname{E}(s) = 2^s \operatorname{E}\left(s, \frac{1}{2}\right)`. + + * ``euler(n)`` gives the nth Euler number `E_n`. + * ``euler(s)`` gives the Euler function `\operatorname{E}(s)`. + * ``euler(n, x)`` gives the nth Euler polynomial `E_n(x)`. + * ``euler(s, a)`` gives the generalized Euler function `\operatorname{E}(s, a)`. + + Examples + ======== + + >>> from sympy import euler, Symbol, S + >>> [euler(n) for n in range(10)] + [1, 0, -1, 0, 5, 0, -61, 0, 1385, 0] + >>> [2**n*euler(n,1) for n in range(10)] + [1, 1, 0, -2, 0, 16, 0, -272, 0, 7936] + >>> n = Symbol("n") + >>> euler(n + 2*n) + euler(3*n) + + >>> x = Symbol("x") + >>> euler(n, x) + euler(n, x) + + >>> euler(0, x) + 1 + >>> euler(1, x) + x - 1/2 + >>> euler(2, x) + x**2 - x + >>> euler(3, x) + x**3 - 3*x**2/2 + 1/4 + >>> euler(4, x) + x**4 - 2*x**3 + x + + >>> euler(12, S.Half) + 2702765/4096 + >>> euler(12) + 2702765 + + See Also + ======== + + andre, bell, bernoulli, catalan, fibonacci, harmonic, lucas, genocchi, + partition, tribonacci, sympy.polys.appellseqs.euler_poly + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Euler_numbers + .. [2] https://mathworld.wolfram.com/EulerNumber.html + .. [3] https://en.wikipedia.org/wiki/Alternating_permutation + .. [4] https://mathworld.wolfram.com/AlternatingPermutation.html + + """ + + @classmethod + def eval(cls, n, x=None): + if n.is_zero: + return S.One + elif n is S.NegativeOne: + if x is None: + return S.Pi/2 + from sympy.functions.special.gamma_functions import digamma + return digamma((x+1)/2) - digamma(x/2) + elif n.is_integer is False or n.is_nonnegative is False: + return + # Euler numbers + elif x is None: + if n.is_odd and n.is_positive: + return S.Zero + elif n.is_Number: + from mpmath import mp + n = n._to_mpmath(mp.prec) + res = mp.eulernum(n, exact=True) + return Integer(res) + # Euler polynomials + elif n.is_Number: + from sympy.core.evalf import pure_complex + n = int(n) + reim = pure_complex(x, or_real=True) + if reim and all(a.is_Float or a.is_Integer for a in reim) \ + and any(a.is_Float for a in reim): + from mpmath import mp + prec = min([a._prec for a in reim if a.is_Float]) + with workprec(prec): + res = mp.eulerpoly(n, x) + return Expr._from_mpmath(res, prec) + return euler_poly(n, x) + + def _eval_rewrite_as_Sum(self, n, x=None, **kwargs): + from sympy.concrete.summations import Sum + if x is None and n.is_even: + k = Dummy("k", integer=True) + j = Dummy("j", integer=True) + n = n / 2 + Em = (S.ImaginaryUnit * Sum(Sum(binomial(k, j) * (S.NegativeOne**j * + (k - 2*j)**(2*n + 1)) / + (2**k*S.ImaginaryUnit**k * k), (j, 0, k)), (k, 1, 2*n + 1))) + return Em + if x: + k = Dummy("k", integer=True) + return Sum(binomial(n, k)*euler(k)/2**k*(x - S.Half)**(n - k), (k, 0, n)) + + def _eval_rewrite_as_genocchi(self, n, x=None, **kwargs): + if x is None: + return Piecewise((S.Pi/2, Eq(n, -1)), + (-2**n * genocchi(n+1, S.Half) / (n+1), True)) + from sympy.functions.special.gamma_functions import digamma + return Piecewise((digamma((x+1)/2) - digamma(x/2), Eq(n, -1)), + (-genocchi(n+1, x) / (n+1), True)) + + def _eval_evalf(self, prec): + if not all(i.is_number for i in self.args): + return + from mpmath import mp + m, x = (self.args[0], None) if len(self.args) == 1 else self.args + m = m._to_mpmath(prec) + if x is not None: + x = x._to_mpmath(prec) + with workprec(prec): + if mp.isint(m) and m >= 0: + res = mp.eulernum(m) if x is None else mp.eulerpoly(m, x) + else: + if m == -1: + res = mp.pi if x is None else mp.digamma((x+1)/2) - mp.digamma(x/2) + else: + y = 0.5 if x is None else x + res = 2 * (mp.zeta(-m, y) - 2**(m+1) * mp.zeta(-m, (y+1)/2)) + if x is None: + res *= 2**m + return Expr._from_mpmath(res, prec) + + +#----------------------------------------------------------------------------# +# # +# Catalan numbers # +# # +#----------------------------------------------------------------------------# + + +class catalan(DefinedFunction): + r""" + Catalan numbers + + The `n^{th}` catalan number is given by: + + .. math :: C_n = \frac{1}{n+1} \binom{2n}{n} + + * ``catalan(n)`` gives the `n^{th}` Catalan number, `C_n` + + Examples + ======== + + >>> from sympy import (Symbol, binomial, gamma, hyper, + ... catalan, diff, combsimp, Rational, I) + + >>> [catalan(i) for i in range(1,10)] + [1, 2, 5, 14, 42, 132, 429, 1430, 4862] + + >>> n = Symbol("n", integer=True) + + >>> catalan(n) + catalan(n) + + Catalan numbers can be transformed into several other, identical + expressions involving other mathematical functions + + >>> catalan(n).rewrite(binomial) + binomial(2*n, n)/(n + 1) + + >>> catalan(n).rewrite(gamma) + 4**n*gamma(n + 1/2)/(sqrt(pi)*gamma(n + 2)) + + >>> catalan(n).rewrite(hyper) + hyper((-n, 1 - n), (2,), 1) + + For some non-integer values of n we can get closed form + expressions by rewriting in terms of gamma functions: + + >>> catalan(Rational(1, 2)).rewrite(gamma) + 8/(3*pi) + + We can differentiate the Catalan numbers C(n) interpreted as a + continuous real function in n: + + >>> diff(catalan(n), n) + (polygamma(0, n + 1/2) - polygamma(0, n + 2) + log(4))*catalan(n) + + As a more advanced example consider the following ratio + between consecutive numbers: + + >>> combsimp((catalan(n + 1)/catalan(n)).rewrite(binomial)) + 2*(2*n + 1)/(n + 2) + + The Catalan numbers can be generalized to complex numbers: + + >>> catalan(I).rewrite(gamma) + 4**I*gamma(1/2 + I)/(sqrt(pi)*gamma(2 + I)) + + and evaluated with arbitrary precision: + + >>> catalan(I).evalf(20) + 0.39764993382373624267 - 0.020884341620842555705*I + + See Also + ======== + + andre, bell, bernoulli, euler, fibonacci, harmonic, lucas, genocchi, + partition, tribonacci, sympy.functions.combinatorial.factorials.binomial + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Catalan_number + .. [2] https://mathworld.wolfram.com/CatalanNumber.html + .. [3] https://functions.wolfram.com/GammaBetaErf/CatalanNumber/ + .. [4] http://geometer.org/mathcircles/catalan.pdf + + """ + + @classmethod + def eval(cls, n): + from sympy.functions.special.gamma_functions import gamma + if (n.is_Integer and n.is_nonnegative) or \ + (n.is_noninteger and n.is_negative): + return 4**n*gamma(n + S.Half)/(gamma(S.Half)*gamma(n + 2)) + + if (n.is_integer and n.is_negative): + if (n + 1).is_negative: + return S.Zero + if (n + 1).is_zero: + return Rational(-1, 2) + + def fdiff(self, argindex=1): + from sympy.functions.elementary.exponential import log + from sympy.functions.special.gamma_functions import polygamma + n = self.args[0] + return catalan(n)*(polygamma(0, n + S.Half) - polygamma(0, n + 2) + log(4)) + + def _eval_rewrite_as_binomial(self, n, **kwargs): + return binomial(2*n, n)/(n + 1) + + def _eval_rewrite_as_factorial(self, n, **kwargs): + return factorial(2*n) / (factorial(n+1) * factorial(n)) + + def _eval_rewrite_as_gamma(self, n, piecewise=True, **kwargs): + from sympy.functions.special.gamma_functions import gamma + # The gamma function allows to generalize Catalan numbers to complex n + return 4**n*gamma(n + S.Half)/(gamma(S.Half)*gamma(n + 2)) + + def _eval_rewrite_as_hyper(self, n, **kwargs): + from sympy.functions.special.hyper import hyper + return hyper([1 - n, -n], [2], 1) + + def _eval_rewrite_as_Product(self, n, **kwargs): + from sympy.concrete.products import Product + if not (n.is_integer and n.is_nonnegative): + return self + k = Dummy('k', integer=True, positive=True) + return Product((n + k) / k, (k, 2, n)) + + def _eval_is_integer(self): + if self.args[0].is_integer and self.args[0].is_nonnegative: + return True + + def _eval_is_positive(self): + if self.args[0].is_nonnegative: + return True + + def _eval_is_composite(self): + if self.args[0].is_integer and (self.args[0] - 3).is_positive: + return True + + def _eval_evalf(self, prec): + from sympy.functions.special.gamma_functions import gamma + if self.args[0].is_number: + return self.rewrite(gamma)._eval_evalf(prec) + + +#----------------------------------------------------------------------------# +# # +# Genocchi numbers # +# # +#----------------------------------------------------------------------------# + + +class genocchi(DefinedFunction): + r""" + Genocchi numbers / Genocchi polynomials / Genocchi function + + The Genocchi numbers are a sequence of integers `G_n` that satisfy the + relation: + + .. math:: \frac{-2t}{1 + e^{-t}} = \sum_{n=0}^\infty \frac{G_n t^n}{n!} + + They are related to the Bernoulli numbers by + + .. math:: G_n = 2 (1 - 2^n) B_n + + and generalize like the Bernoulli numbers to the Genocchi polynomials and + function as + + .. math:: \operatorname{G}(s, a) = 2 \left(\operatorname{B}(s, a) - + 2^s \operatorname{B}\left(s, \frac{a+1}{2}\right)\right) + + .. versionchanged:: 1.12 + ``genocchi(1)`` gives `-1` instead of `1`. + + Examples + ======== + + >>> from sympy import genocchi, Symbol + >>> [genocchi(n) for n in range(9)] + [0, -1, -1, 0, 1, 0, -3, 0, 17] + >>> n = Symbol('n', integer=True, positive=True) + >>> genocchi(2*n + 1) + 0 + >>> x = Symbol('x') + >>> genocchi(4, x) + -4*x**3 + 6*x**2 - 1 + + See Also + ======== + + bell, bernoulli, catalan, euler, fibonacci, harmonic, lucas, partition, tribonacci + sympy.polys.appellseqs.genocchi_poly + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Genocchi_number + .. [2] https://mathworld.wolfram.com/GenocchiNumber.html + .. [3] Peter Luschny, "An introduction to the Bernoulli function", + https://arxiv.org/abs/2009.06743 + + """ + + @classmethod + def eval(cls, n, x=None): + if x is S.One: + return cls(n) + elif n.is_integer is False or n.is_nonnegative is False: + return + # Genocchi numbers + elif x is None: + if n.is_odd and (n-1).is_positive: + return S.Zero + elif n.is_Number: + return 2 * (1-S(2)**n) * bernoulli(n) + # Genocchi polynomials + elif n.is_Number: + return genocchi_poly(n, x) + + def _eval_rewrite_as_bernoulli(self, n, x=1, **kwargs): + if x == 1 and n.is_integer and n.is_nonnegative: + return 2 * (1-S(2)**n) * bernoulli(n) + return 2 * (bernoulli(n, x) - 2**n * bernoulli(n, (x+1) / 2)) + + def _eval_rewrite_as_dirichlet_eta(self, n, x=1, **kwargs): + from sympy.functions.special.zeta_functions import dirichlet_eta + return -2*n * dirichlet_eta(1-n, x) + + def _eval_is_integer(self): + if len(self.args) > 1 and self.args[1] != 1: + return + n = self.args[0] + if n.is_integer and n.is_nonnegative: + return True + + def _eval_is_negative(self): + if len(self.args) > 1 and self.args[1] != 1: + return + n = self.args[0] + if n.is_integer and n.is_nonnegative: + if n.is_odd: + return fuzzy_not((n-1).is_positive) + return (n/2).is_odd + + def _eval_is_positive(self): + if len(self.args) > 1 and self.args[1] != 1: + return + n = self.args[0] + if n.is_integer and n.is_nonnegative: + if n.is_zero or n.is_odd: + return False + return (n/2).is_even + + def _eval_is_even(self): + if len(self.args) > 1 and self.args[1] != 1: + return + n = self.args[0] + if n.is_integer and n.is_nonnegative: + if n.is_even: + return n.is_zero + return (n-1).is_positive + + def _eval_is_odd(self): + if len(self.args) > 1 and self.args[1] != 1: + return + n = self.args[0] + if n.is_integer and n.is_nonnegative: + if n.is_even: + return fuzzy_not(n.is_zero) + return fuzzy_not((n-1).is_positive) + + def _eval_is_prime(self): + if len(self.args) > 1 and self.args[1] != 1: + return + n = self.args[0] + # only G_6 = -3 and G_8 = 17 are prime, + # but SymPy does not consider negatives as prime + # so only n=8 is tested + return (n-8).is_zero + + def _eval_evalf(self, prec): + if all(i.is_number for i in self.args): + return self.rewrite(bernoulli)._eval_evalf(prec) + + +#----------------------------------------------------------------------------# +# # +# Andre numbers # +# # +#----------------------------------------------------------------------------# + + +class andre(DefinedFunction): + r""" + Andre numbers / Andre function + + The Andre number `\mathcal{A}_n` is Luschny's name for half the number of + *alternating permutations* on `n` elements, where a permutation is alternating + if adjacent elements alternately compare "greater" and "smaller" going from + left to right. For example, `2 < 3 > 1 < 4` is an alternating permutation. + + This sequence is A000111 in the OEIS, which assigns the names *up/down numbers* + and *Euler zigzag numbers*. It satisfies a recurrence relation similar to that + for the Catalan numbers, with `\mathcal{A}_0 = 1` and + + .. math:: 2 \mathcal{A}_{n+1} = \sum_{k=0}^n \binom{n}{k} \mathcal{A}_k \mathcal{A}_{n-k} + + The Bernoulli and Euler numbers are signed transformations of the odd- and + even-indexed elements of this sequence respectively: + + .. math :: \operatorname{B}_{2k} = \frac{2k \mathcal{A}_{2k-1}}{(-4)^k - (-16)^k} + + .. math :: \operatorname{E}_{2k} = (-1)^k \mathcal{A}_{2k} + + Like the Bernoulli and Euler numbers, the Andre numbers are interpolated by the + entire Andre function: + + .. math :: \mathcal{A}(s) = (-i)^{s+1} \operatorname{Li}_{-s}(i) + + i^{s+1} \operatorname{Li}_{-s}(-i) = \\ \frac{2 \Gamma(s+1)}{(2\pi)^{s+1}} + (\zeta(s+1, 1/4) - \zeta(s+1, 3/4) \cos{\pi s}) + + Examples + ======== + + >>> from sympy import andre, euler, bernoulli + >>> [andre(n) for n in range(11)] + [1, 1, 1, 2, 5, 16, 61, 272, 1385, 7936, 50521] + >>> [(-1)**k * andre(2*k) for k in range(7)] + [1, -1, 5, -61, 1385, -50521, 2702765] + >>> [euler(2*k) for k in range(7)] + [1, -1, 5, -61, 1385, -50521, 2702765] + >>> [andre(2*k-1) * (2*k) / ((-4)**k - (-16)**k) for k in range(1, 8)] + [1/6, -1/30, 1/42, -1/30, 5/66, -691/2730, 7/6] + >>> [bernoulli(2*k) for k in range(1, 8)] + [1/6, -1/30, 1/42, -1/30, 5/66, -691/2730, 7/6] + + See Also + ======== + + bernoulli, catalan, euler, sympy.polys.appellseqs.andre_poly + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Alternating_permutation + .. [2] https://mathworld.wolfram.com/EulerZigzagNumber.html + .. [3] Peter Luschny, "An introduction to the Bernoulli function", + https://arxiv.org/abs/2009.06743 + """ + + @classmethod + def eval(cls, n): + if n is S.NaN: + return S.NaN + elif n is S.Infinity: + return S.Infinity + if n.is_zero: + return S.One + elif n == -1: + return -log(2) + elif n == -2: + return -2*S.Catalan + elif n.is_Integer: + if n.is_nonnegative and n.is_even: + return abs(euler(n)) + elif n.is_odd: + from sympy.functions.special.zeta_functions import zeta + m = -n-1 + return I**m * Rational(1-2**m, 4**m) * zeta(-n) + + def _eval_rewrite_as_zeta(self, s, **kwargs): + from sympy.functions.elementary.trigonometric import cos + from sympy.functions.special.gamma_functions import gamma + from sympy.functions.special.zeta_functions import zeta + return 2 * gamma(s+1) / (2*pi)**(s+1) * \ + (zeta(s+1, S.One/4) - cos(pi*s) * zeta(s+1, S(3)/4)) + + def _eval_rewrite_as_polylog(self, s, **kwargs): + from sympy.functions.special.zeta_functions import polylog + return (-I)**(s+1) * polylog(-s, I) + I**(s+1) * polylog(-s, -I) + + def _eval_is_integer(self): + n = self.args[0] + if n.is_integer and n.is_nonnegative: + return True + + def _eval_is_positive(self): + if self.args[0].is_nonnegative: + return True + + def _eval_evalf(self, prec): + if not self.args[0].is_number: + return + s = self.args[0]._to_mpmath(prec+12) + with workprec(prec+12): + sp, cp = mp.sinpi(s/2), mp.cospi(s/2) + res = 2*mp.dirichlet(-s, (-sp, cp, sp, -cp)) + return Expr._from_mpmath(res, prec) + + +#----------------------------------------------------------------------------# +# # +# Partition numbers # +# # +#----------------------------------------------------------------------------# + +class partition(DefinedFunction): + r""" + Partition numbers + + The Partition numbers are a sequence of integers `p_n` that represent the + number of distinct ways of representing `n` as a sum of natural numbers + (with order irrelevant). The generating function for `p_n` is given by: + + .. math:: \sum_{n=0}^\infty p_n x^n = \prod_{k=1}^\infty (1 - x^k)^{-1} + + Examples + ======== + + >>> from sympy import partition, Symbol + >>> [partition(n) for n in range(9)] + [1, 1, 2, 3, 5, 7, 11, 15, 22] + >>> n = Symbol('n', integer=True, negative=True) + >>> partition(n) + 0 + + See Also + ======== + + bell, bernoulli, catalan, euler, fibonacci, harmonic, lucas, genocchi, tribonacci + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Partition_(number_theory%29 + .. [2] https://en.wikipedia.org/wiki/Pentagonal_number_theorem + + """ + is_integer = True + is_nonnegative = True + + @classmethod + def eval(cls, n): + if n.is_integer is False: + raise TypeError("n should be an integer") + if n.is_negative is True: + return S.Zero + if n.is_zero is True or n is S.One: + return S.One + if n.is_Integer is True: + return S(_partition(as_int(n))) + + def _eval_is_positive(self): + if self.args[0].is_nonnegative is True: + return True + + def _eval_Mod(self, q): + # Ramanujan's congruences + n = self.args[0] + for p, rem in [(5, 4), (7, 5), (11, 6)]: + if q == p and n % q == rem: + return S.Zero + + +class divisor_sigma(DefinedFunction): + r""" + Calculate the divisor function `\sigma_k(n)` for positive integer n + + ``divisor_sigma(n, k)`` is equal to ``sum([x**k for x in divisors(n)])`` + + If n's prime factorization is: + + .. math :: + n = \prod_{i=1}^\omega p_i^{m_i}, + + then + + .. math :: + \sigma_k(n) = \prod_{i=1}^\omega (1+p_i^k+p_i^{2k}+\cdots + + p_i^{m_ik}). + + Examples + ======== + + >>> from sympy.functions.combinatorial.numbers import divisor_sigma + >>> divisor_sigma(18, 0) + 6 + >>> divisor_sigma(39, 1) + 56 + >>> divisor_sigma(12, 2) + 210 + >>> divisor_sigma(37) + 38 + + See Also + ======== + + sympy.ntheory.factor_.divisor_count, totient, sympy.ntheory.factor_.divisors, sympy.ntheory.factor_.factorint + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Divisor_function + + """ + is_integer = True + is_positive = True + + @classmethod + def eval(cls, n, k=S.One): + if n.is_integer is False: + raise TypeError("n should be an integer") + if n.is_positive is False: + raise ValueError("n should be a positive integer") + if k.is_integer is False: + raise TypeError("k should be an integer") + if k.is_nonnegative is False: + raise ValueError("k should be a nonnegative integer") + if n.is_prime is True: + return 1 + n**k + if n is S.One: + return S.One + if n.is_Integer is True: + if k.is_zero is True: + return Mul(*[e + 1 for e in factorint(n).values()]) + if k.is_Integer is True: + return S(_divisor_sigma(as_int(n), as_int(k))) + if k.is_zero is False: + return Mul(*[cancel((p**(k*(e + 1)) - 1) / (p**k - 1)) for p, e in factorint(n).items()]) + + +class udivisor_sigma(DefinedFunction): + r""" + Calculate the unitary divisor function `\sigma_k^*(n)` for positive integer n + + ``udivisor_sigma(n, k)`` is equal to ``sum([x**k for x in udivisors(n)])`` + + If n's prime factorization is: + + .. math :: + n = \prod_{i=1}^\omega p_i^{m_i}, + + then + + .. math :: + \sigma_k^*(n) = \prod_{i=1}^\omega (1+ p_i^{m_ik}). + + Parameters + ========== + + k : power of divisors in the sum + + for k = 0, 1: + ``udivisor_sigma(n, 0)`` is equal to ``udivisor_count(n)`` + ``udivisor_sigma(n, 1)`` is equal to ``sum(udivisors(n))`` + + Default for k is 1. + + Examples + ======== + + >>> from sympy.functions.combinatorial.numbers import udivisor_sigma + >>> udivisor_sigma(18, 0) + 4 + >>> udivisor_sigma(74, 1) + 114 + >>> udivisor_sigma(36, 3) + 47450 + >>> udivisor_sigma(111) + 152 + + See Also + ======== + + sympy.ntheory.factor_.divisor_count, totient, sympy.ntheory.factor_.divisors, + sympy.ntheory.factor_.udivisors, sympy.ntheory.factor_.udivisor_count, divisor_sigma, + sympy.ntheory.factor_.factorint + + References + ========== + + .. [1] https://mathworld.wolfram.com/UnitaryDivisorFunction.html + + """ + is_integer = True + is_positive = True + + @classmethod + def eval(cls, n, k=S.One): + if n.is_integer is False: + raise TypeError("n should be an integer") + if n.is_positive is False: + raise ValueError("n should be a positive integer") + if k.is_integer is False: + raise TypeError("k should be an integer") + if k.is_nonnegative is False: + raise ValueError("k should be a nonnegative integer") + if n.is_prime is True: + return 1 + n**k + if n.is_Integer: + return Mul(*[1+p**(k*e) for p, e in factorint(n).items()]) + + +class legendre_symbol(DefinedFunction): + r""" + Returns the Legendre symbol `(a / p)`. + + For an integer ``a`` and an odd prime ``p``, the Legendre symbol is + defined as + + .. math :: + \genfrac(){}{}{a}{p} = \begin{cases} + 0 & \text{if } p \text{ divides } a\\ + 1 & \text{if } a \text{ is a quadratic residue modulo } p\\ + -1 & \text{if } a \text{ is a quadratic nonresidue modulo } p + \end{cases} + + Examples + ======== + + >>> from sympy.functions.combinatorial.numbers import legendre_symbol + >>> [legendre_symbol(i, 7) for i in range(7)] + [0, 1, 1, -1, 1, -1, -1] + >>> sorted(set([i**2 % 7 for i in range(7)])) + [0, 1, 2, 4] + + See Also + ======== + + sympy.ntheory.residue_ntheory.is_quad_residue, jacobi_symbol + + """ + is_integer = True + is_prime = False + + @classmethod + def eval(cls, a, p): + if a.is_integer is False: + raise TypeError("a should be an integer") + if p.is_integer is False: + raise TypeError("p should be an integer") + if p.is_prime is False or p.is_odd is False: + raise ValueError("p should be an odd prime integer") + if (a % p).is_zero is True: + return S.Zero + if a is S.One: + return S.One + if a.is_Integer is True and p.is_Integer is True: + return S(legendre(as_int(a), as_int(p))) + + +class jacobi_symbol(DefinedFunction): + r""" + Returns the Jacobi symbol `(m / n)`. + + For any integer ``m`` and any positive odd integer ``n`` the Jacobi symbol + is defined as the product of the Legendre symbols corresponding to the + prime factors of ``n``: + + .. math :: + \genfrac(){}{}{m}{n} = + \genfrac(){}{}{m}{p^{1}}^{\alpha_1} + \genfrac(){}{}{m}{p^{2}}^{\alpha_2} + ... + \genfrac(){}{}{m}{p^{k}}^{\alpha_k} + \text{ where } n = + p_1^{\alpha_1} + p_2^{\alpha_2} + ... + p_k^{\alpha_k} + + Like the Legendre symbol, if the Jacobi symbol `\genfrac(){}{}{m}{n} = -1` + then ``m`` is a quadratic nonresidue modulo ``n``. + + But, unlike the Legendre symbol, if the Jacobi symbol + `\genfrac(){}{}{m}{n} = 1` then ``m`` may or may not be a quadratic residue + modulo ``n``. + + Examples + ======== + + >>> from sympy.functions.combinatorial.numbers import jacobi_symbol, legendre_symbol + >>> from sympy import S + >>> jacobi_symbol(45, 77) + -1 + >>> jacobi_symbol(60, 121) + 1 + + The relationship between the ``jacobi_symbol`` and ``legendre_symbol`` can + be demonstrated as follows: + + >>> L = legendre_symbol + >>> S(45).factors() + {3: 2, 5: 1} + >>> jacobi_symbol(7, 45) == L(7, 3)**2 * L(7, 5)**1 + True + + See Also + ======== + + sympy.ntheory.residue_ntheory.is_quad_residue, legendre_symbol + + """ + is_integer = True + is_prime = False + + @classmethod + def eval(cls, m, n): + if m.is_integer is False: + raise TypeError("m should be an integer") + if n.is_integer is False: + raise TypeError("n should be an integer") + if n.is_positive is False or n.is_odd is False: + raise ValueError("n should be an odd positive integer") + if m is S.One or n is S.One: + return S.One + if (m % n).is_zero is True: + return S.Zero + if m.is_Integer is True and n.is_Integer is True: + return S(jacobi(as_int(m), as_int(n))) + + +class kronecker_symbol(DefinedFunction): + r""" + Returns the Kronecker symbol `(a / n)`. + + Examples + ======== + + >>> from sympy.functions.combinatorial.numbers import kronecker_symbol + >>> kronecker_symbol(45, 77) + -1 + >>> kronecker_symbol(13, -120) + 1 + + See Also + ======== + + jacobi_symbol, legendre_symbol + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Kronecker_symbol + + """ + is_integer = True + is_prime = False + + @classmethod + def eval(cls, a, n): + if a.is_integer is False: + raise TypeError("a should be an integer") + if n.is_integer is False: + raise TypeError("n should be an integer") + if a is S.One or n is S.One: + return S.One + if a.is_Integer is True and n.is_Integer is True: + return S(kronecker(as_int(a), as_int(n))) + + +class mobius(DefinedFunction): + """ + Mobius function maps natural number to {-1, 0, 1} + + It is defined as follows: + 1) `1` if `n = 1`. + 2) `0` if `n` has a squared prime factor. + 3) `(-1)^k` if `n` is a square-free positive integer with `k` + number of prime factors. + + It is an important multiplicative function in number theory + and combinatorics. It has applications in mathematical series, + algebraic number theory and also physics (Fermion operator has very + concrete realization with Mobius Function model). + + Examples + ======== + + >>> from sympy.functions.combinatorial.numbers import mobius + >>> mobius(13*7) + 1 + >>> mobius(1) + 1 + >>> mobius(13*7*5) + -1 + >>> mobius(13**2) + 0 + + Even in the case of a symbol, if it clearly contains a squared prime factor, it will be zero. + + >>> from sympy import Symbol + >>> n = Symbol("n", integer=True, positive=True) + >>> mobius(4*n) + 0 + >>> mobius(n**2) + 0 + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/M%C3%B6bius_function + .. [2] Thomas Koshy "Elementary Number Theory with Applications" + .. [3] https://oeis.org/A008683 + + """ + is_integer = True + is_prime = False + + @classmethod + def eval(cls, n): + if n.is_integer is False: + raise TypeError("n should be an integer") + if n.is_positive is False: + raise ValueError("n should be a positive integer") + if n.is_prime is True: + return S.NegativeOne + if n is S.One: + return S.One + result = None + for m, e in (_.as_base_exp() for _ in Mul.make_args(n)): + if m.is_integer is True and m.is_positive is True and \ + e.is_integer is True and e.is_positive is True: + lt = is_lt(S.One, e) # 1 < e + if lt is True: + result = S.Zero + elif m.is_Integer is True: + factors = factorint(m) + if any(v > 1 for v in factors.values()): + result = S.Zero + elif lt is False: + s = S.NegativeOne if len(factors) % 2 else S.One + if result is None: + result = s + else: + result *= s + else: + return + return result + + +class primenu(DefinedFunction): + r""" + Calculate the number of distinct prime factors for a positive integer n. + + If n's prime factorization is: + + .. math :: + n = \prod_{i=1}^k p_i^{m_i}, + + then ``primenu(n)`` or `\nu(n)` is: + + .. math :: + \nu(n) = k. + + Examples + ======== + + >>> from sympy.functions.combinatorial.numbers import primenu + >>> primenu(1) + 0 + >>> primenu(30) + 3 + + See Also + ======== + + sympy.ntheory.factor_.factorint + + References + ========== + + .. [1] https://mathworld.wolfram.com/PrimeFactor.html + .. [2] https://oeis.org/A001221 + + """ + is_integer = True + is_nonnegative = True + + @classmethod + def eval(cls, n): + if n.is_integer is False: + raise TypeError("n should be an integer") + if n.is_positive is False: + raise ValueError("n should be a positive integer") + if n.is_prime is True: + return S.One + if n is S.One: + return S.Zero + if n.is_Integer is True: + return S(len(factorint(n))) + + +class primeomega(DefinedFunction): + r""" + Calculate the number of prime factors counting multiplicities for a + positive integer n. + + If n's prime factorization is: + + .. math :: + n = \prod_{i=1}^k p_i^{m_i}, + + then ``primeomega(n)`` or `\Omega(n)` is: + + .. math :: + \Omega(n) = \sum_{i=1}^k m_i. + + Examples + ======== + + >>> from sympy.functions.combinatorial.numbers import primeomega + >>> primeomega(1) + 0 + >>> primeomega(20) + 3 + + See Also + ======== + + sympy.ntheory.factor_.factorint + + References + ========== + + .. [1] https://mathworld.wolfram.com/PrimeFactor.html + .. [2] https://oeis.org/A001222 + + """ + is_integer = True + is_nonnegative = True + + @classmethod + def eval(cls, n): + if n.is_integer is False: + raise TypeError("n should be an integer") + if n.is_positive is False: + raise ValueError("n should be a positive integer") + if n.is_prime is True: + return S.One + if n is S.One: + return S.Zero + if n.is_Integer is True: + return S(sum(factorint(n).values())) + + +class totient(DefinedFunction): + r""" + Calculate the Euler totient function phi(n) + + ``totient(n)`` or `\phi(n)` is the number of positive integers `\leq` n + that are relatively prime to n. + + Examples + ======== + + >>> from sympy.functions.combinatorial.numbers import totient + >>> totient(1) + 1 + >>> totient(25) + 20 + >>> totient(45) == totient(5)*totient(9) + True + + See Also + ======== + + sympy.ntheory.factor_.divisor_count + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Euler%27s_totient_function + .. [2] https://mathworld.wolfram.com/TotientFunction.html + .. [3] https://oeis.org/A000010 + + """ + is_integer = True + is_positive = True + + @classmethod + def eval(cls, n): + if n.is_integer is False: + raise TypeError("n should be an integer") + if n.is_positive is False: + raise ValueError("n should be a positive integer") + if n is S.One: + return S.One + if n.is_prime is True: + return n - 1 + if isinstance(n, Dict): + return S(prod(p**(k-1)*(p-1) for p, k in n.items())) + if n.is_Integer is True: + return S(prod(p**(k-1)*(p-1) for p, k in factorint(n).items())) + + +class reduced_totient(DefinedFunction): + r""" + Calculate the Carmichael reduced totient function lambda(n) + + ``reduced_totient(n)`` or `\lambda(n)` is the smallest m > 0 such that + `k^m \equiv 1 \mod n` for all k relatively prime to n. + + Examples + ======== + + >>> from sympy.functions.combinatorial.numbers import reduced_totient + >>> reduced_totient(1) + 1 + >>> reduced_totient(8) + 2 + >>> reduced_totient(30) + 4 + + See Also + ======== + + totient + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Carmichael_function + .. [2] https://mathworld.wolfram.com/CarmichaelFunction.html + .. [3] https://oeis.org/A002322 + + """ + is_integer = True + is_positive = True + + @classmethod + def eval(cls, n): + if n.is_integer is False: + raise TypeError("n should be an integer") + if n.is_positive is False: + raise ValueError("n should be a positive integer") + if n is S.One: + return S.One + if n.is_prime is True: + return n - 1 + if isinstance(n, Dict): + t = 1 + if 2 in n: + t = (1 << (n[2] - 2)) if 2 < n[2] else n[2] + return S(lcm(int(t), *(int(p-1)*int(p)**int(k-1) for p, k in n.items() if p != 2))) + if n.is_Integer is True: + n, t = remove(int(n), 2) + if not t: + t = 1 + elif 2 < t: + t = 1 << (t - 2) + return S(lcm(t, *((p-1)*p**(k-1) for p, k in factorint(n).items()))) + + +class primepi(DefinedFunction): + r""" Represents the prime counting function pi(n) = the number + of prime numbers less than or equal to n. + + Examples + ======== + + >>> from sympy.functions.combinatorial.numbers import primepi + >>> from sympy import prime, prevprime, isprime + >>> primepi(25) + 9 + + So there are 9 primes less than or equal to 25. Is 25 prime? + + >>> isprime(25) + False + + It is not. So the first prime less than 25 must be the + 9th prime: + + >>> prevprime(25) == prime(9) + True + + See Also + ======== + + sympy.ntheory.primetest.isprime : Test if n is prime + sympy.ntheory.generate.primerange : Generate all primes in a given range + sympy.ntheory.generate.prime : Return the nth prime + + References + ========== + + .. [1] https://oeis.org/A000720 + + """ + is_integer = True + is_nonnegative = True + + @classmethod + def eval(cls, n): + if n is S.Infinity: + return S.Infinity + if n is S.NegativeInfinity: + return S.Zero + if n.is_real is False: + raise TypeError("n should be a real") + if is_lt(n, S(2)) is True: + return S.Zero + try: + n = int(n) + except TypeError: + return + return S(_primepi(n)) + + +####################################################################### +### +### Functions for enumerating partitions, permutations and combinations +### +####################################################################### + + +class _MultisetHistogram(tuple): + __slots__ = () + + +_N = -1 +_ITEMS = -2 +_M = slice(None, _ITEMS) + + +def _multiset_histogram(n): + """Return tuple used in permutation and combination counting. Input + is a dictionary giving items with counts as values or a sequence of + items (which need not be sorted). + + The data is stored in a class deriving from tuple so it is easily + recognized and so it can be converted easily to a list. + """ + if isinstance(n, dict): # item: count + if not all(isinstance(v, int) and v >= 0 for v in n.values()): + raise ValueError + tot = sum(n.values()) + items = sum(1 for k in n if n[k] > 0) + return _MultisetHistogram([n[k] for k in n if n[k] > 0] + [items, tot]) + else: + n = list(n) + s = set(n) + lens = len(s) + lenn = len(n) + if lens == lenn: + n = [1]*lenn + [lenn, lenn] + return _MultisetHistogram(n) + m = dict(zip(s, range(lens))) + d = dict(zip(range(lens), (0,)*lens)) + for i in n: + d[m[i]] += 1 + return _multiset_histogram(d) + + +def nP(n, k=None, replacement=False): + """Return the number of permutations of ``n`` items taken ``k`` at a time. + + Possible values for ``n``: + + integer - set of length ``n`` + + sequence - converted to a multiset internally + + multiset - {element: multiplicity} + + If ``k`` is None then the total of all permutations of length 0 + through the number of items represented by ``n`` will be returned. + + If ``replacement`` is True then a given item can appear more than once + in the ``k`` items. (For example, for 'ab' permutations of 2 would + include 'aa', 'ab', 'ba' and 'bb'.) The multiplicity of elements in + ``n`` is ignored when ``replacement`` is True but the total number + of elements is considered since no element can appear more times than + the number of elements in ``n``. + + Examples + ======== + + >>> from sympy.functions.combinatorial.numbers import nP + >>> from sympy.utilities.iterables import multiset_permutations, multiset + >>> nP(3, 2) + 6 + >>> nP('abc', 2) == nP(multiset('abc'), 2) == 6 + True + >>> nP('aab', 2) + 3 + >>> nP([1, 2, 2], 2) + 3 + >>> [nP(3, i) for i in range(4)] + [1, 3, 6, 6] + >>> nP(3) == sum(_) + True + + When ``replacement`` is True, each item can have multiplicity + equal to the length represented by ``n``: + + >>> nP('aabc', replacement=True) + 121 + >>> [len(list(multiset_permutations('aaaabbbbcccc', i))) for i in range(5)] + [1, 3, 9, 27, 81] + >>> sum(_) + 121 + + See Also + ======== + sympy.utilities.iterables.multiset_permutations + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Permutation + + """ + try: + n = as_int(n) + except ValueError: + return Integer(_nP(_multiset_histogram(n), k, replacement)) + return Integer(_nP(n, k, replacement)) + + +@cacheit +def _nP(n, k=None, replacement=False): + + if k == 0: + return 1 + if isinstance(n, SYMPY_INTS): # n different items + # assert n >= 0 + if k is None: + return sum(_nP(n, i, replacement) for i in range(n + 1)) + elif replacement: + return n**k + elif k > n: + return 0 + elif k == n: + return factorial(k) + elif k == 1: + return n + else: + # assert k >= 0 + return _product(n - k + 1, n) + elif isinstance(n, _MultisetHistogram): + if k is None: + return sum(_nP(n, i, replacement) for i in range(n[_N] + 1)) + elif replacement: + return n[_ITEMS]**k + elif k == n[_N]: + return factorial(k)/prod([factorial(i) for i in n[_M] if i > 1]) + elif k > n[_N]: + return 0 + elif k == 1: + return n[_ITEMS] + else: + # assert k >= 0 + tot = 0 + n = list(n) + for i in range(len(n[_M])): + if not n[i]: + continue + n[_N] -= 1 + if n[i] == 1: + n[i] = 0 + n[_ITEMS] -= 1 + tot += _nP(_MultisetHistogram(n), k - 1) + n[_ITEMS] += 1 + n[i] = 1 + else: + n[i] -= 1 + tot += _nP(_MultisetHistogram(n), k - 1) + n[i] += 1 + n[_N] += 1 + return tot + + +@cacheit +def _AOP_product(n): + """for n = (m1, m2, .., mk) return the coefficients of the polynomial, + prod(sum(x**i for i in range(nj + 1)) for nj in n); i.e. the coefficients + of the product of AOPs (all-one polynomials) or order given in n. The + resulting coefficient corresponding to x**r is the number of r-length + combinations of sum(n) elements with multiplicities given in n. + The coefficients are given as a default dictionary (so if a query is made + for a key that is not present, 0 will be returned). + + Examples + ======== + + >>> from sympy.functions.combinatorial.numbers import _AOP_product + >>> from sympy.abc import x + >>> n = (2, 2, 3) # e.g. aabbccc + >>> prod = ((x**2 + x + 1)*(x**2 + x + 1)*(x**3 + x**2 + x + 1)).expand() + >>> c = _AOP_product(n); dict(c) + {0: 1, 1: 3, 2: 6, 3: 8, 4: 8, 5: 6, 6: 3, 7: 1} + >>> [c[i] for i in range(8)] == [prod.coeff(x, i) for i in range(8)] + True + + The generating poly used here is the same as that listed in + https://tinyurl.com/cep849r, but in a refactored form. + + """ + + n = list(n) + ord = sum(n) + need = (ord + 2)//2 + rv = [1]*(n.pop() + 1) + rv.extend((0,) * (need - len(rv))) + rv = rv[:need] + while n: + ni = n.pop() + N = ni + 1 + was = rv[:] + for i in range(1, min(N, len(rv))): + rv[i] += rv[i - 1] + for i in range(N, need): + rv[i] += rv[i - 1] - was[i - N] + rev = list(reversed(rv)) + if ord % 2: + rv = rv + rev + else: + rv[-1:] = rev + d = defaultdict(int) + for i, r in enumerate(rv): + d[i] = r + return d + + +def nC(n, k=None, replacement=False): + """Return the number of combinations of ``n`` items taken ``k`` at a time. + + Possible values for ``n``: + + integer - set of length ``n`` + + sequence - converted to a multiset internally + + multiset - {element: multiplicity} + + If ``k`` is None then the total of all combinations of length 0 + through the number of items represented in ``n`` will be returned. + + If ``replacement`` is True then a given item can appear more than once + in the ``k`` items. (For example, for 'ab' sets of 2 would include 'aa', + 'ab', and 'bb'.) The multiplicity of elements in ``n`` is ignored when + ``replacement`` is True but the total number of elements is considered + since no element can appear more times than the number of elements in + ``n``. + + Examples + ======== + + >>> from sympy.functions.combinatorial.numbers import nC + >>> from sympy.utilities.iterables import multiset_combinations + >>> nC(3, 2) + 3 + >>> nC('abc', 2) + 3 + >>> nC('aab', 2) + 2 + + When ``replacement`` is True, each item can have multiplicity + equal to the length represented by ``n``: + + >>> nC('aabc', replacement=True) + 35 + >>> [len(list(multiset_combinations('aaaabbbbcccc', i))) for i in range(5)] + [1, 3, 6, 10, 15] + >>> sum(_) + 35 + + If there are ``k`` items with multiplicities ``m_1, m_2, ..., m_k`` + then the total of all combinations of length 0 through ``k`` is the + product, ``(m_1 + 1)*(m_2 + 1)*...*(m_k + 1)``. When the multiplicity + of each item is 1 (i.e., k unique items) then there are 2**k + combinations. For example, if there are 4 unique items, the total number + of combinations is 16: + + >>> sum(nC(4, i) for i in range(5)) + 16 + + See Also + ======== + + sympy.utilities.iterables.multiset_combinations + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Combination + .. [2] https://tinyurl.com/cep849r + + """ + + if isinstance(n, SYMPY_INTS): + if k is None: + if not replacement: + return 2**n + return sum(nC(n, i, replacement) for i in range(n + 1)) + if k < 0: + raise ValueError("k cannot be negative") + if replacement: + return binomial(n + k - 1, k) + return binomial(n, k) + if isinstance(n, _MultisetHistogram): + N = n[_N] + if k is None: + if not replacement: + return prod(m + 1 for m in n[_M]) + return sum(nC(n, i, replacement) for i in range(N + 1)) + elif replacement: + return nC(n[_ITEMS], k, replacement) + # assert k >= 0 + elif k in (1, N - 1): + return n[_ITEMS] + elif k in (0, N): + return 1 + return _AOP_product(tuple(n[_M]))[k] + else: + return nC(_multiset_histogram(n), k, replacement) + + +def _eval_stirling1(n, k): + if n == k == 0: + return S.One + if 0 in (n, k): + return S.Zero + + # some special values + if n == k: + return S.One + elif k == n - 1: + return binomial(n, 2) + elif k == n - 2: + return (3*n - 1)*binomial(n, 3)/4 + elif k == n - 3: + return binomial(n, 2)*binomial(n, 4) + + return _stirling1(n, k) + + +@cacheit +def _stirling1(n, k): + row = [0, 1]+[0]*(k-1) # for n = 1 + for i in range(2, n+1): + for j in range(min(k,i), 0, -1): + row[j] = (i-1) * row[j] + row[j-1] + return Integer(row[k]) + + +def _eval_stirling2(n, k): + if n == k == 0: + return S.One + if 0 in (n, k): + return S.Zero + + # some special values + if n == k: + return S.One + elif k == n - 1: + return binomial(n, 2) + elif k == 1: + return S.One + elif k == 2: + return Integer(2**(n - 1) - 1) + + return _stirling2(n, k) + + +@cacheit +def _stirling2(n, k): + row = [0, 1]+[0]*(k-1) # for n = 1 + for i in range(2, n+1): + for j in range(min(k,i), 0, -1): + row[j] = j * row[j] + row[j-1] + return Integer(row[k]) + + +def stirling(n, k, d=None, kind=2, signed=False): + r"""Return Stirling number $S(n, k)$ of the first or second (default) kind. + + The sum of all Stirling numbers of the second kind for $k = 1$ + through $n$ is ``bell(n)``. The recurrence relationship for these numbers + is: + + .. math :: {0 \brace 0} = 1; {n \brace 0} = {0 \brace k} = 0; + + .. math :: {{n+1} \brace k} = j {n \brace k} + {n \brace {k-1}} + + where $j$ is: + $n$ for Stirling numbers of the first kind, + $-n$ for signed Stirling numbers of the first kind, + $k$ for Stirling numbers of the second kind. + + The first kind of Stirling number counts the number of permutations of + ``n`` distinct items that have ``k`` cycles; the second kind counts the + ways in which ``n`` distinct items can be partitioned into ``k`` parts. + If ``d`` is given, the "reduced Stirling number of the second kind" is + returned: $S^{d}(n, k) = S(n - d + 1, k - d + 1)$ with $n \ge k \ge d$. + (This counts the ways to partition $n$ consecutive integers into $k$ + groups with no pairwise difference less than $d$. See example below.) + + To obtain the signed Stirling numbers of the first kind, use keyword + ``signed=True``. Using this keyword automatically sets ``kind`` to 1. + + Examples + ======== + + >>> from sympy.functions.combinatorial.numbers import stirling, bell + >>> from sympy.combinatorics import Permutation + >>> from sympy.utilities.iterables import multiset_partitions, permutations + + First kind (unsigned by default): + + >>> [stirling(6, i, kind=1) for i in range(7)] + [0, 120, 274, 225, 85, 15, 1] + >>> perms = list(permutations(range(4))) + >>> [sum(Permutation(p).cycles == i for p in perms) for i in range(5)] + [0, 6, 11, 6, 1] + >>> [stirling(4, i, kind=1) for i in range(5)] + [0, 6, 11, 6, 1] + + First kind (signed): + + >>> [stirling(4, i, signed=True) for i in range(5)] + [0, -6, 11, -6, 1] + + Second kind: + + >>> [stirling(10, i) for i in range(12)] + [0, 1, 511, 9330, 34105, 42525, 22827, 5880, 750, 45, 1, 0] + >>> sum(_) == bell(10) + True + >>> len(list(multiset_partitions(range(4), 2))) == stirling(4, 2) + True + + Reduced second kind: + + >>> from sympy import subsets, oo + >>> def delta(p): + ... if len(p) == 1: + ... return oo + ... return min(abs(i[0] - i[1]) for i in subsets(p, 2)) + >>> parts = multiset_partitions(range(5), 3) + >>> d = 2 + >>> sum(1 for p in parts if all(delta(i) >= d for i in p)) + 7 + >>> stirling(5, 3, 2) + 7 + + See Also + ======== + sympy.utilities.iterables.multiset_partitions + + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Stirling_numbers_of_the_first_kind + .. [2] https://en.wikipedia.org/wiki/Stirling_numbers_of_the_second_kind + + """ + # TODO: make this a class like bell() + + n = as_int(n) + k = as_int(k) + if n < 0: + raise ValueError('n must be nonnegative') + if k > n: + return S.Zero + if d: + # assert k >= d + # kind is ignored -- only kind=2 is supported + return _eval_stirling2(n - d + 1, k - d + 1) + elif signed: + # kind is ignored -- only kind=1 is supported + return S.NegativeOne**(n - k)*_eval_stirling1(n, k) + + if kind == 1: + return _eval_stirling1(n, k) + elif kind == 2: + return _eval_stirling2(n, k) + else: + raise ValueError('kind must be 1 or 2, not %s' % k) + + +@cacheit +def _nT(n, k): + """Return the partitions of ``n`` items into ``k`` parts. This + is used by ``nT`` for the case when ``n`` is an integer.""" + # really quick exits + if k > n or k < 0: + return 0 + if k in (1, n): + return 1 + if k == 0: + return 0 + # exits that could be done below but this is quicker + if k == 2: + return n//2 + d = n - k + if d <= 3: + return d + # quick exit + if 3*k >= n: # or, equivalently, 2*k >= d + # all the information needed in this case + # will be in the cache needed to calculate + # partition(d), so... + # update cache + tot = _partition_rec(d) + # and correct for values not needed + if d - k > 0: + tot -= sum(_partition_rec.fetch_item(slice(d - k))) + return tot + # regular exit + # nT(n, k) = Sum(nT(n - k, m), (m, 1, k)); + # calculate needed nT(i, j) values + p = [1]*d + for i in range(2, k + 1): + for m in range(i + 1, d): + p[m] += p[m - i] + d -= 1 + # if p[0] were appended to the end of p then the last + # k values of p are the nT(n, j) values for 0 < j < k in reverse + # order p[-1] = nT(n, 1), p[-2] = nT(n, 2), etc.... Instead of + # putting the 1 from p[0] there, however, it is simply added to + # the sum below which is valid for 1 < k <= n//2 + return (1 + sum(p[1 - k:])) + + +def nT(n, k=None): + """Return the number of ``k``-sized partitions of ``n`` items. + + Possible values for ``n``: + + integer - ``n`` identical items + + sequence - converted to a multiset internally + + multiset - {element: multiplicity} + + Note: the convention for ``nT`` is different than that of ``nC`` and + ``nP`` in that + here an integer indicates ``n`` *identical* items instead of a set of + length ``n``; this is in keeping with the ``partitions`` function which + treats its integer-``n`` input like a list of ``n`` 1s. One can use + ``range(n)`` for ``n`` to indicate ``n`` distinct items. + + If ``k`` is None then the total number of ways to partition the elements + represented in ``n`` will be returned. + + Examples + ======== + + >>> from sympy.functions.combinatorial.numbers import nT + + Partitions of the given multiset: + + >>> [nT('aabbc', i) for i in range(1, 7)] + [1, 8, 11, 5, 1, 0] + >>> nT('aabbc') == sum(_) + True + + >>> [nT("mississippi", i) for i in range(1, 12)] + [1, 74, 609, 1521, 1768, 1224, 579, 197, 50, 9, 1] + + Partitions when all items are identical: + + >>> [nT(5, i) for i in range(1, 6)] + [1, 2, 2, 1, 1] + >>> nT('1'*5) == sum(_) + True + + When all items are different: + + >>> [nT(range(5), i) for i in range(1, 6)] + [1, 15, 25, 10, 1] + >>> nT(range(5)) == sum(_) + True + + Partitions of an integer expressed as a sum of positive integers: + + >>> from sympy import partition + >>> partition(4) + 5 + >>> nT(4, 1) + nT(4, 2) + nT(4, 3) + nT(4, 4) + 5 + >>> nT('1'*4) + 5 + + See Also + ======== + sympy.utilities.iterables.partitions + sympy.utilities.iterables.multiset_partitions + sympy.functions.combinatorial.numbers.partition + + References + ========== + + .. [1] https://web.archive.org/web/20210507012732/https://teaching.csse.uwa.edu.au/units/CITS7209/partition.pdf + + """ + + if isinstance(n, SYMPY_INTS): + # n identical items + if k is None: + return partition(n) + if isinstance(k, SYMPY_INTS): + n = as_int(n) + k = as_int(k) + return Integer(_nT(n, k)) + if not isinstance(n, _MultisetHistogram): + try: + # if n contains hashable items there is some + # quick handling that can be done + u = len(set(n)) + if u <= 1: + return nT(len(n), k) + elif u == len(n): + n = range(u) + raise TypeError + except TypeError: + n = _multiset_histogram(n) + N = n[_N] + if k is None and N == 1: + return 1 + if k in (1, N): + return 1 + if k == 2 or N == 2 and k is None: + m, r = divmod(N, 2) + rv = sum(nC(n, i) for i in range(1, m + 1)) + if not r: + rv -= nC(n, m)//2 + if k is None: + rv += 1 # for k == 1 + return rv + if N == n[_ITEMS]: + # all distinct + if k is None: + return bell(N) + return stirling(N, k) + m = MultisetPartitionTraverser() + if k is None: + return m.count_partitions(n[_M]) + # MultisetPartitionTraverser does not have a range-limited count + # method, so need to enumerate and count + tot = 0 + for discard in m.enum_range(n[_M], k-1, k): + tot += 1 + return tot + + +#-----------------------------------------------------------------------------# +# # +# Motzkin numbers # +# # +#-----------------------------------------------------------------------------# + + +class motzkin(DefinedFunction): + """ + The nth Motzkin number is the number + of ways of drawing non-intersecting chords + between n points on a circle (not necessarily touching + every point by a chord). The Motzkin numbers are named + after Theodore Motzkin and have diverse applications + in geometry, combinatorics and number theory. + + Motzkin numbers are the integer sequence defined by the + initial terms `M_0 = 1`, `M_1 = 1` and the two-term recurrence relation + `M_n = \frac{2*n + 1}{n + 2} * M_{n-1} + \frac{3n - 3}{n + 2} * M_{n-2}`. + + + Examples + ======== + + >>> from sympy import motzkin + + >>> motzkin.is_motzkin(5) + False + >>> motzkin.find_motzkin_numbers_in_range(2,300) + [2, 4, 9, 21, 51, 127] + >>> motzkin.find_motzkin_numbers_in_range(2,900) + [2, 4, 9, 21, 51, 127, 323, 835] + >>> motzkin.find_first_n_motzkins(10) + [1, 1, 2, 4, 9, 21, 51, 127, 323, 835] + + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Motzkin_number + .. [2] https://mathworld.wolfram.com/MotzkinNumber.html + + """ + + @staticmethod + def is_motzkin(n): + try: + n = as_int(n) + except ValueError: + return False + if n > 0: + if n in (1, 2): + return True + + tn1 = 1 + tn = 2 + i = 3 + while tn < n: + a = ((2*i + 1)*tn + (3*i - 3)*tn1)/(i + 2) + i += 1 + tn1 = tn + tn = a + + if tn == n: + return True + else: + return False + + else: + return False + + @staticmethod + def find_motzkin_numbers_in_range(x, y): + if 0 <= x <= y: + motzkins = [] + if x <= 1 <= y: + motzkins.append(1) + tn1 = 1 + tn = 2 + i = 3 + while tn <= y: + if tn >= x: + motzkins.append(tn) + a = ((2*i + 1)*tn + (3*i - 3)*tn1)/(i + 2) + i += 1 + tn1 = tn + tn = int(a) + + return motzkins + + else: + raise ValueError('The provided range is not valid. This condition should satisfy x <= y') + + @staticmethod + def find_first_n_motzkins(n): + try: + n = as_int(n) + except ValueError: + raise ValueError('The provided number must be a positive integer') + if n < 0: + raise ValueError('The provided number must be a positive integer') + motzkins = [1] + if n >= 1: + motzkins.append(1) + tn1 = 1 + tn = 2 + i = 3 + while i <= n: + motzkins.append(tn) + a = ((2*i + 1)*tn + (3*i - 3)*tn1)/(i + 2) + i += 1 + tn1 = tn + tn = int(a) + + return motzkins + + @staticmethod + @recurrence_memo([S.One, S.One]) + def _motzkin(n, prev): + return ((2*n + 1)*prev[-1] + (3*n - 3)*prev[-2]) // (n + 2) + + @classmethod + def eval(cls, n): + try: + n = as_int(n) + except ValueError: + raise ValueError('The provided number must be a positive integer') + if n < 0: + raise ValueError('The provided number must be a positive integer') + return Integer(cls._motzkin(n - 1)) + + +def nD(i=None, brute=None, *, n=None, m=None): + """return the number of derangements for: ``n`` unique items, ``i`` + items (as a sequence or multiset), or multiplicities, ``m`` given + as a sequence or multiset. + + Examples + ======== + + >>> from sympy.utilities.iterables import generate_derangements as enum + >>> from sympy.functions.combinatorial.numbers import nD + + A derangement ``d`` of sequence ``s`` has all ``d[i] != s[i]``: + + >>> set([''.join(i) for i in enum('abc')]) + {'bca', 'cab'} + >>> nD('abc') + 2 + + Input as iterable or dictionary (multiset form) is accepted: + + >>> assert nD([1, 2, 2, 3, 3, 3]) == nD({1: 1, 2: 2, 3: 3}) + + By default, a brute-force enumeration and count of multiset permutations + is only done if there are fewer than 9 elements. There may be cases when + there is high multiplicity with few unique elements that will benefit + from a brute-force enumeration, too. For this reason, the `brute` + keyword (default None) is provided. When False, the brute-force + enumeration will never be used. When True, it will always be used. + + >>> nD('1111222233', brute=True) + 44 + + For convenience, one may specify ``n`` distinct items using the + ``n`` keyword: + + >>> assert nD(n=3) == nD('abc') == 2 + + Since the number of derangments depends on the multiplicity of the + elements and not the elements themselves, it may be more convenient + to give a list or multiset of multiplicities using keyword ``m``: + + >>> assert nD('abc') == nD(m=(1,1,1)) == nD(m={1:3}) == 2 + + """ + from sympy.integrals.integrals import integrate + from sympy.functions.special.polynomials import laguerre + from sympy.abc import x + def ok(x): + if not isinstance(x, SYMPY_INTS): + raise TypeError('expecting integer values') + if x < 0: + raise ValueError('value must not be negative') + return True + + if (i, n, m).count(None) != 2: + raise ValueError('enter only 1 of i, n, or m') + if i is not None: + if isinstance(i, SYMPY_INTS): + raise TypeError('items must be a list or dictionary') + if not i: + return S.Zero + if type(i) is not dict: + s = list(i) + ms = multiset(s) + elif type(i) is dict: + all(ok(_) for _ in i.values()) + ms = {k: v for k, v in i.items() if v} + s = None + if not ms: + return S.Zero + N = sum(ms.values()) + counts = multiset(ms.values()) + nkey = len(ms) + elif n is not None: + ok(n) + if not n: + return S.Zero + return subfactorial(n) + elif m is not None: + if isinstance(m, dict): + all(ok(i) and ok(j) for i, j in m.items()) + counts = {k: v for k, v in m.items() if k*v} + elif iterable(m) or isinstance(m, str): + m = list(m) + all(ok(i) for i in m) + counts = multiset([i for i in m if i]) + else: + raise TypeError('expecting iterable') + if not counts: + return S.Zero + N = sum(k*v for k, v in counts.items()) + nkey = sum(counts.values()) + s = None + big = int(max(counts)) + if big == 1: # no repetition + return subfactorial(nkey) + nval = len(counts) + if big*2 > N: + return S.Zero + if big*2 == N: + if nkey == 2 and nval == 1: + return S.One # aaabbb + if nkey - 1 == big: # one element repeated + return factorial(big) # e.g. abc part of abcddd + if N < 9 and brute is None or brute: + # for all possibilities, this was found to be faster + if s is None: + s = [] + i = 0 + for m, v in counts.items(): + for j in range(v): + s.extend([i]*m) + i += 1 + return Integer(sum(1 for i in multiset_derangements(s))) + from sympy.functions.elementary.exponential import exp + return Integer(abs(integrate(exp(-x)*Mul(*[ + laguerre(i, x)**m for i, m in counts.items()]), (x, 0, oo)))) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/combinatorial/tests/__init__.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/combinatorial/tests/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/combinatorial/tests/__pycache__/__init__.cpython-312.pyc 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a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/combinatorial/tests/__pycache__/test_comb_numbers.cpython-312.pyc b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/combinatorial/tests/__pycache__/test_comb_numbers.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..b2b603850f5143d377ea2c3464a0c24fe39bb388 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/combinatorial/tests/__pycache__/test_comb_numbers.cpython-312.pyc @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b6c6557ccf49fafe598a3b7b0f0e875edebb8b0f9c72bb0544bcd91299dc8809 +size 104162 diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/combinatorial/tests/test_comb_factorials.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/combinatorial/tests/test_comb_factorials.py new file mode 100644 index 0000000000000000000000000000000000000000..6e3986c56736cccec0b3370007e047a1f38f06d1 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/combinatorial/tests/test_comb_factorials.py @@ -0,0 +1,653 @@ +from sympy.concrete.products import Product +from sympy.core.function import expand_func +from sympy.core.mod import Mod +from sympy.core.mul import Mul +from sympy.core import EulerGamma +from sympy.core.numbers import (Float, I, Rational, nan, oo, pi, zoo) +from sympy.core.relational import Eq +from sympy.core.singleton import S +from sympy.core.symbol import (Dummy, Symbol, symbols) +from sympy.functions.combinatorial.factorials import (ff, rf, binomial, factorial, factorial2) +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.piecewise import Piecewise +from sympy.functions.special.gamma_functions import (gamma, polygamma) +from sympy.polys.polytools import Poly +from sympy.series.order import O +from sympy.simplify.simplify import simplify +from sympy.core.expr import unchanged +from sympy.core.function import ArgumentIndexError +from sympy.functions.combinatorial.factorials import subfactorial +from sympy.functions.special.gamma_functions import uppergamma +from sympy.testing.pytest import XFAIL, raises, slow + +#Solves and Fixes Issue #10388 - This is the updated test for the same solved issue + +def test_rf_eval_apply(): + x, y = symbols('x,y') + n, k = symbols('n k', integer=True) + m = Symbol('m', integer=True, nonnegative=True) + + assert rf(nan, y) is nan + assert rf(x, nan) is nan + + assert unchanged(rf, x, y) + + assert rf(oo, 0) == 1 + assert rf(-oo, 0) == 1 + + assert rf(oo, 6) is oo + assert rf(-oo, 7) is -oo + assert rf(-oo, 6) is oo + + assert rf(oo, -6) is oo + assert rf(-oo, -7) is oo + + assert rf(-1, pi) == 0 + assert rf(-5, 1 + I) == 0 + + assert unchanged(rf, -3, k) + assert unchanged(rf, x, Symbol('k', integer=False)) + assert rf(-3, Symbol('k', integer=False)) == 0 + assert rf(Symbol('x', negative=True, integer=True), Symbol('k', integer=False)) == 0 + + assert rf(x, 0) == 1 + assert rf(x, 1) == x + assert rf(x, 2) == x*(x + 1) + assert rf(x, 3) == x*(x + 1)*(x + 2) + assert rf(x, 5) == x*(x + 1)*(x + 2)*(x + 3)*(x + 4) + + assert rf(x, -1) == 1/(x - 1) + assert rf(x, -2) == 1/((x - 1)*(x - 2)) + assert rf(x, -3) == 1/((x - 1)*(x - 2)*(x - 3)) + + assert rf(1, 100) == factorial(100) + + assert rf(x**2 + 3*x, 2) == (x**2 + 3*x)*(x**2 + 3*x + 1) + assert isinstance(rf(x**2 + 3*x, 2), Mul) + assert rf(x**3 + x, -2) == 1/((x**3 + x - 1)*(x**3 + x - 2)) + + assert rf(Poly(x**2 + 3*x, x), 2) == Poly(x**4 + 8*x**3 + 19*x**2 + 12*x, x) + assert isinstance(rf(Poly(x**2 + 3*x, x), 2), Poly) + raises(ValueError, lambda: rf(Poly(x**2 + 3*x, x, y), 2)) + assert rf(Poly(x**3 + x, x), -2) == 1/(x**6 - 9*x**5 + 35*x**4 - 75*x**3 + 94*x**2 - 66*x + 20) + raises(ValueError, lambda: rf(Poly(x**3 + x, x, y), -2)) + + assert rf(x, m).is_integer is None + assert rf(n, k).is_integer is None + assert rf(n, m).is_integer is True + assert rf(n, k + pi).is_integer is False + assert rf(n, m + pi).is_integer is False + assert rf(pi, m).is_integer is False + + def check(x, k, o, n): + a, b = Dummy(), Dummy() + r = lambda x, k: o(a, b).rewrite(n).subs({a:x,b:k}) + for i in range(-5,5): + for j in range(-5,5): + assert o(i, j) == r(i, j), (o, n, i, j) + check(x, k, rf, ff) + check(x, k, rf, binomial) + check(n, k, rf, factorial) + check(x, y, rf, factorial) + check(x, y, rf, binomial) + + assert rf(x, k).rewrite(ff) == ff(x + k - 1, k) + assert rf(x, k).rewrite(gamma) == Piecewise( + (gamma(k + x)/gamma(x), x > 0), + ((-1)**k*gamma(1 - x)/gamma(-k - x + 1), True)) + assert rf(5, k).rewrite(gamma) == gamma(k + 5)/24 + assert rf(x, k).rewrite(binomial) == factorial(k)*binomial(x + k - 1, k) + assert rf(n, k).rewrite(factorial) == Piecewise( + (factorial(k + n - 1)/factorial(n - 1), n > 0), + ((-1)**k*factorial(-n)/factorial(-k - n), True)) + assert rf(5, k).rewrite(factorial) == factorial(k + 4)/24 + assert rf(x, y).rewrite(factorial) == rf(x, y) + assert rf(x, y).rewrite(binomial) == rf(x, y) + + import random + from mpmath import rf as mpmath_rf + for i in range(100): + x = -500 + 500 * random.random() + k = -500 + 500 * random.random() + assert (abs(mpmath_rf(x, k) - rf(x, k)) < 10**(-15)) + + +def test_ff_eval_apply(): + x, y = symbols('x,y') + n, k = symbols('n k', integer=True) + m = Symbol('m', integer=True, nonnegative=True) + + assert ff(nan, y) is nan + assert ff(x, nan) is nan + + assert unchanged(ff, x, y) + + assert ff(oo, 0) == 1 + assert ff(-oo, 0) == 1 + + assert ff(oo, 6) is oo + assert ff(-oo, 7) is -oo + assert ff(-oo, 6) is oo + + assert ff(oo, -6) is oo + assert ff(-oo, -7) is oo + + assert ff(x, 0) == 1 + assert ff(x, 1) == x + assert ff(x, 2) == x*(x - 1) + assert ff(x, 3) == x*(x - 1)*(x - 2) + assert ff(x, 5) == x*(x - 1)*(x - 2)*(x - 3)*(x - 4) + + assert ff(x, -1) == 1/(x + 1) + assert ff(x, -2) == 1/((x + 1)*(x + 2)) + assert ff(x, -3) == 1/((x + 1)*(x + 2)*(x + 3)) + + assert ff(100, 100) == factorial(100) + + assert ff(2*x**2 - 5*x, 2) == (2*x**2 - 5*x)*(2*x**2 - 5*x - 1) + assert isinstance(ff(2*x**2 - 5*x, 2), Mul) + assert ff(x**2 + 3*x, -2) == 1/((x**2 + 3*x + 1)*(x**2 + 3*x + 2)) + + assert ff(Poly(2*x**2 - 5*x, x), 2) == Poly(4*x**4 - 28*x**3 + 59*x**2 - 35*x, x) + assert isinstance(ff(Poly(2*x**2 - 5*x, x), 2), Poly) + raises(ValueError, lambda: ff(Poly(2*x**2 - 5*x, x, y), 2)) + assert ff(Poly(x**2 + 3*x, x), -2) == 1/(x**4 + 12*x**3 + 49*x**2 + 78*x + 40) + raises(ValueError, lambda: ff(Poly(x**2 + 3*x, x, y), -2)) + + + assert ff(x, m).is_integer is None + assert ff(n, k).is_integer is None + assert ff(n, m).is_integer is True + assert ff(n, k + pi).is_integer is False + assert ff(n, m + pi).is_integer is False + assert ff(pi, m).is_integer is False + + assert isinstance(ff(x, x), ff) + assert ff(n, n) == factorial(n) + + def check(x, k, o, n): + a, b = Dummy(), Dummy() + r = lambda x, k: o(a, b).rewrite(n).subs({a:x,b:k}) + for i in range(-5,5): + for j in range(-5,5): + assert o(i, j) == r(i, j), (o, n) + check(x, k, ff, rf) + check(x, k, ff, gamma) + check(n, k, ff, factorial) + check(x, k, ff, binomial) + check(x, y, ff, factorial) + check(x, y, ff, binomial) + + assert ff(x, k).rewrite(rf) == rf(x - k + 1, k) + assert ff(x, k).rewrite(gamma) == Piecewise( + (gamma(x + 1)/gamma(-k + x + 1), x >= 0), + ((-1)**k*gamma(k - x)/gamma(-x), True)) + assert ff(5, k).rewrite(gamma) == 120/gamma(6 - k) + assert ff(n, k).rewrite(factorial) == Piecewise( + (factorial(n)/factorial(-k + n), n >= 0), + ((-1)**k*factorial(k - n - 1)/factorial(-n - 1), True)) + assert ff(5, k).rewrite(factorial) == 120/factorial(5 - k) + assert ff(x, k).rewrite(binomial) == factorial(k) * binomial(x, k) + assert ff(x, y).rewrite(factorial) == ff(x, y) + assert ff(x, y).rewrite(binomial) == ff(x, y) + + import random + from mpmath import ff as mpmath_ff + for i in range(100): + x = -500 + 500 * random.random() + k = -500 + 500 * random.random() + a = mpmath_ff(x, k) + b = ff(x, k) + assert (abs(a - b) < abs(a) * 10**(-15)) + + +def test_rf_ff_eval_hiprec(): + maple = Float('6.9109401292234329956525265438452') + us = ff(18, Rational(2, 3)).evalf(32) + assert abs(us - maple)/us < 1e-31 + + maple = Float('6.8261540131125511557924466355367') + us = rf(18, Rational(2, 3)).evalf(32) + assert abs(us - maple)/us < 1e-31 + + maple = Float('34.007346127440197150854651814225') + us = rf(Float('4.4', 32), Float('2.2', 32)) + assert abs(us - maple)/us < 1e-31 + + +def test_rf_lambdify_mpmath(): + from sympy.utilities.lambdify import lambdify + x, y = symbols('x,y') + f = lambdify((x,y), rf(x, y), 'mpmath') + maple = Float('34.007346127440197') + us = f(4.4, 2.2) + assert abs(us - maple)/us < 1e-15 + + +def test_factorial(): + x = Symbol('x') + n = Symbol('n', integer=True) + k = Symbol('k', integer=True, nonnegative=True) + r = Symbol('r', integer=False) + s = Symbol('s', integer=False, negative=True) + t = Symbol('t', nonnegative=True) + u = Symbol('u', noninteger=True) + + assert factorial(-2) is zoo + assert factorial(0) == 1 + assert factorial(7) == 5040 + assert factorial(19) == 121645100408832000 + assert factorial(31) == 8222838654177922817725562880000000 + assert factorial(n).func == factorial + assert factorial(2*n).func == factorial + + assert factorial(x).is_integer is None + assert factorial(n).is_integer is None + assert factorial(k).is_integer + assert factorial(r).is_integer is None + + assert factorial(n).is_positive is None + assert factorial(k).is_positive + + assert factorial(x).is_real is None + assert factorial(n).is_real is None + assert factorial(k).is_real is True + assert factorial(r).is_real is None + assert factorial(s).is_real is True + assert factorial(t).is_real is True + assert factorial(u).is_real is True + + assert factorial(x).is_composite is None + assert factorial(n).is_composite is None + assert factorial(k).is_composite is None + assert factorial(k + 3).is_composite is True + assert factorial(r).is_composite is None + assert factorial(s).is_composite is None + assert factorial(t).is_composite is None + assert factorial(u).is_composite is None + + assert factorial(oo) is oo + + +def test_factorial_Mod(): + pr = Symbol('pr', prime=True) + p, q = 10**9 + 9, 10**9 + 33 # prime modulo + r, s = 10**7 + 5, 33333333 # composite modulo + assert Mod(factorial(pr - 1), pr) == pr - 1 + assert Mod(factorial(pr - 1), -pr) == -1 + assert Mod(factorial(r - 1, evaluate=False), r) == 0 + assert Mod(factorial(s - 1, evaluate=False), s) == 0 + assert Mod(factorial(p - 1, evaluate=False), p) == p - 1 + assert Mod(factorial(q - 1, evaluate=False), q) == q - 1 + assert Mod(factorial(p - 50, evaluate=False), p) == 854928834 + assert Mod(factorial(q - 1800, evaluate=False), q) == 905504050 + assert Mod(factorial(153, evaluate=False), r) == Mod(factorial(153), r) + assert Mod(factorial(255, evaluate=False), s) == Mod(factorial(255), s) + assert Mod(factorial(4, evaluate=False), 3) == S.Zero + assert Mod(factorial(5, evaluate=False), 6) == S.Zero + + +def test_factorial_diff(): + n = Symbol('n', integer=True) + + assert factorial(n).diff(n) == \ + gamma(1 + n)*polygamma(0, 1 + n) + assert factorial(n**2).diff(n) == \ + 2*n*gamma(1 + n**2)*polygamma(0, 1 + n**2) + raises(ArgumentIndexError, lambda: factorial(n**2).fdiff(2)) + + +def test_factorial_series(): + n = Symbol('n', integer=True) + + assert factorial(n).series(n, 0, 3) == \ + 1 - n*EulerGamma + n**2*(EulerGamma**2/2 + pi**2/12) + O(n**3) + + +def test_factorial_rewrite(): + n = Symbol('n', integer=True) + k = Symbol('k', integer=True, nonnegative=True) + + assert factorial(n).rewrite(gamma) == gamma(n + 1) + _i = Dummy('i') + assert factorial(k).rewrite(Product).dummy_eq(Product(_i, (_i, 1, k))) + assert factorial(n).rewrite(Product) == factorial(n) + + +def test_factorial2(): + n = Symbol('n', integer=True) + + assert factorial2(-1) == 1 + assert factorial2(0) == 1 + assert factorial2(7) == 105 + assert factorial2(8) == 384 + + # The following is exhaustive + tt = Symbol('tt', integer=True, nonnegative=True) + tte = Symbol('tte', even=True, nonnegative=True) + tpe = Symbol('tpe', even=True, positive=True) + tto = Symbol('tto', odd=True, nonnegative=True) + tf = Symbol('tf', integer=True, nonnegative=False) + tfe = Symbol('tfe', even=True, nonnegative=False) + tfo = Symbol('tfo', odd=True, nonnegative=False) + ft = Symbol('ft', integer=False, nonnegative=True) + ff = Symbol('ff', integer=False, nonnegative=False) + fn = Symbol('fn', integer=False) + nt = Symbol('nt', nonnegative=True) + nf = Symbol('nf', nonnegative=False) + nn = Symbol('nn') + z = Symbol('z', zero=True) + #Solves and Fixes Issue #10388 - This is the updated test for the same solved issue + raises(ValueError, lambda: factorial2(oo)) + raises(ValueError, lambda: factorial2(Rational(5, 2))) + raises(ValueError, lambda: factorial2(-4)) + assert factorial2(n).is_integer is None + assert factorial2(tt - 1).is_integer + assert factorial2(tte - 1).is_integer + assert factorial2(tpe - 3).is_integer + assert factorial2(tto - 4).is_integer + assert factorial2(tto - 2).is_integer + assert factorial2(tf).is_integer is None + assert factorial2(tfe).is_integer is None + assert factorial2(tfo).is_integer is None + assert factorial2(ft).is_integer is None + assert factorial2(ff).is_integer is None + assert factorial2(fn).is_integer is None + assert factorial2(nt).is_integer is None + assert factorial2(nf).is_integer is None + assert factorial2(nn).is_integer is None + + assert factorial2(n).is_positive is None + assert factorial2(tt - 1).is_positive is True + assert factorial2(tte - 1).is_positive is True + assert factorial2(tpe - 3).is_positive is True + assert factorial2(tpe - 1).is_positive is True + assert factorial2(tto - 2).is_positive is True + assert factorial2(tto - 1).is_positive is True + assert factorial2(tf).is_positive is None + assert factorial2(tfe).is_positive is None + assert factorial2(tfo).is_positive is None + assert factorial2(ft).is_positive is None + assert factorial2(ff).is_positive is None + assert factorial2(fn).is_positive is None + assert factorial2(nt).is_positive is None + assert factorial2(nf).is_positive is None + assert factorial2(nn).is_positive is None + + assert factorial2(tt).is_even is None + assert factorial2(tt).is_odd is None + assert factorial2(tte).is_even is None + assert factorial2(tte).is_odd is None + assert factorial2(tte + 2).is_even is True + assert factorial2(tpe).is_even is True + assert factorial2(tpe).is_odd is False + assert factorial2(tto).is_odd is True + assert factorial2(tf).is_even is None + assert factorial2(tf).is_odd is None + assert factorial2(tfe).is_even is None + assert factorial2(tfe).is_odd is None + assert factorial2(tfo).is_even is False + assert factorial2(tfo).is_odd is None + assert factorial2(z).is_even is False + assert factorial2(z).is_odd is True + + +def test_factorial2_rewrite(): + n = Symbol('n', integer=True) + assert factorial2(n).rewrite(gamma) == \ + 2**(n/2)*Piecewise((1, Eq(Mod(n, 2), 0)), (sqrt(2)/sqrt(pi), Eq(Mod(n, 2), 1)))*gamma(n/2 + 1) + assert factorial2(2*n).rewrite(gamma) == 2**n*gamma(n + 1) + assert factorial2(2*n + 1).rewrite(gamma) == \ + sqrt(2)*2**(n + S.Half)*gamma(n + Rational(3, 2))/sqrt(pi) + + +def test_binomial(): + x = Symbol('x') + n = Symbol('n', integer=True) + nz = Symbol('nz', integer=True, nonzero=True) + k = Symbol('k', integer=True) + kp = Symbol('kp', integer=True, positive=True) + kn = Symbol('kn', integer=True, negative=True) + u = Symbol('u', negative=True) + v = Symbol('v', nonnegative=True) + p = Symbol('p', positive=True) + z = Symbol('z', zero=True) + nt = Symbol('nt', integer=False) + kt = Symbol('kt', integer=False) + a = Symbol('a', integer=True, nonnegative=True) + b = Symbol('b', integer=True, nonnegative=True) + + assert binomial(0, 0) == 1 + assert binomial(1, 1) == 1 + assert binomial(10, 10) == 1 + assert binomial(n, z) == 1 + assert binomial(1, 2) == 0 + assert binomial(-1, 2) == 1 + assert binomial(1, -1) == 0 + assert binomial(-1, 1) == -1 + assert binomial(-1, -1) == 0 + assert binomial(S.Half, S.Half) == 1 + assert binomial(-10, 1) == -10 + assert binomial(-10, 7) == -11440 + assert binomial(n, -1) == 0 # holds for all integers (negative, zero, positive) + assert binomial(kp, -1) == 0 + assert binomial(nz, 0) == 1 + assert expand_func(binomial(n, 1)) == n + assert expand_func(binomial(n, 2)) == n*(n - 1)/2 + assert expand_func(binomial(n, n - 2)) == n*(n - 1)/2 + assert expand_func(binomial(n, n - 1)) == n + assert binomial(n, 3).func == binomial + assert binomial(n, 3).expand(func=True) == n**3/6 - n**2/2 + n/3 + assert expand_func(binomial(n, 3)) == n*(n - 2)*(n - 1)/6 + assert binomial(n, n).func == binomial # e.g. (-1, -1) == 0, (2, 2) == 1 + assert binomial(n, n + 1).func == binomial # e.g. (-1, 0) == 1 + assert binomial(kp, kp + 1) == 0 + assert binomial(kn, kn) == 0 # issue #14529 + assert binomial(n, u).func == binomial + assert binomial(kp, u).func == binomial + assert binomial(n, p).func == binomial + assert binomial(n, k).func == binomial + assert binomial(n, n + p).func == binomial + assert binomial(kp, kp + p).func == binomial + + assert expand_func(binomial(n, n - 3)) == n*(n - 2)*(n - 1)/6 + + assert binomial(n, k).is_integer + assert binomial(nt, k).is_integer is None + assert binomial(x, nt).is_integer is False + + assert binomial(gamma(25), 6) == 79232165267303928292058750056084441948572511312165380965440075720159859792344339983120618959044048198214221915637090855535036339620413440000 + assert binomial(1324, 47) == 906266255662694632984994480774946083064699457235920708992926525848438478406790323869952 + assert binomial(1735, 43) == 190910140420204130794758005450919715396159959034348676124678207874195064798202216379800 + assert binomial(2512, 53) == 213894469313832631145798303740098720367984955243020898718979538096223399813295457822575338958939834177325304000 + assert binomial(3383, 52) == 27922807788818096863529701501764372757272890613101645521813434902890007725667814813832027795881839396839287659777235 + assert binomial(4321, 51) == 124595639629264868916081001263541480185227731958274383287107643816863897851139048158022599533438936036467601690983780576 + + assert binomial(a, b).is_nonnegative is True + assert binomial(-1, 2, evaluate=False).is_nonnegative is True + assert binomial(10, 5, evaluate=False).is_nonnegative is True + assert binomial(10, -3, evaluate=False).is_nonnegative is True + assert binomial(-10, -3, evaluate=False).is_nonnegative is True + assert binomial(-10, 2, evaluate=False).is_nonnegative is True + assert binomial(-10, 1, evaluate=False).is_nonnegative is False + assert binomial(-10, 7, evaluate=False).is_nonnegative is False + + # issue #14625 + for _ in (pi, -pi, nt, v, a): + assert binomial(_, _) == 1 + assert binomial(_, _ - 1) == _ + assert isinstance(binomial(u, u), binomial) + assert isinstance(binomial(u, u - 1), binomial) + assert isinstance(binomial(x, x), binomial) + assert isinstance(binomial(x, x - 1), binomial) + + #issue #18802 + assert expand_func(binomial(x + 1, x)) == x + 1 + assert expand_func(binomial(x, x - 1)) == x + assert expand_func(binomial(x + 1, x - 1)) == x*(x + 1)/2 + assert expand_func(binomial(x**2 + 1, x**2)) == x**2 + 1 + + # issue #13980 and #13981 + assert binomial(-7, -5) == 0 + assert binomial(-23, -12) == 0 + assert binomial(Rational(13, 2), -10) == 0 + assert binomial(-49, -51) == 0 + + assert binomial(19, Rational(-7, 2)) == S(-68719476736)/(911337863661225*pi) + assert binomial(0, Rational(3, 2)) == S(-2)/(3*pi) + assert binomial(-3, Rational(-7, 2)) is zoo + assert binomial(kn, kt) is zoo + + assert binomial(nt, kt).func == binomial + assert binomial(nt, Rational(15, 6)) == 8*gamma(nt + 1)/(15*sqrt(pi)*gamma(nt - Rational(3, 2))) + assert binomial(Rational(20, 3), Rational(-10, 8)) == gamma(Rational(23, 3))/(gamma(Rational(-1, 4))*gamma(Rational(107, 12))) + assert binomial(Rational(19, 2), Rational(-7, 2)) == Rational(-1615, 8388608) + assert binomial(Rational(-13, 5), Rational(-7, 8)) == gamma(Rational(-8, 5))/(gamma(Rational(-29, 40))*gamma(Rational(1, 8))) + assert binomial(Rational(-19, 8), Rational(-13, 5)) == gamma(Rational(-11, 8))/(gamma(Rational(-8, 5))*gamma(Rational(49, 40))) + + # binomial for complexes + assert binomial(I, Rational(-89, 8)) == gamma(1 + I)/(gamma(Rational(-81, 8))*gamma(Rational(97, 8) + I)) + assert binomial(I, 2*I) == gamma(1 + I)/(gamma(1 - I)*gamma(1 + 2*I)) + assert binomial(-7, I) is zoo + assert binomial(Rational(-7, 6), I) == gamma(Rational(-1, 6))/(gamma(Rational(-1, 6) - I)*gamma(1 + I)) + assert binomial((1+2*I), (1+3*I)) == gamma(2 + 2*I)/(gamma(1 - I)*gamma(2 + 3*I)) + assert binomial(I, 5) == Rational(1, 3) - I/S(12) + assert binomial((2*I + 3), 7) == -13*I/S(63) + assert isinstance(binomial(I, n), binomial) + assert expand_func(binomial(3, 2, evaluate=False)) == 3 + assert expand_func(binomial(n, 0, evaluate=False)) == 1 + assert expand_func(binomial(n, -2, evaluate=False)) == 0 + assert expand_func(binomial(n, k)) == binomial(n, k) + + +def test_binomial_Mod(): + p, q = 10**5 + 3, 10**9 + 33 # prime modulo + r = 10**7 + 5 # composite modulo + + # A few tests to get coverage + # Lucas Theorem + assert Mod(binomial(156675, 4433, evaluate=False), p) == Mod(binomial(156675, 4433), p) + + # factorial Mod + assert Mod(binomial(1234, 432, evaluate=False), q) == Mod(binomial(1234, 432), q) + + # binomial factorize + assert Mod(binomial(253, 113, evaluate=False), r) == Mod(binomial(253, 113), r) + + # using Granville's generalisation of Lucas' Theorem + assert Mod(binomial(10**18, 10**12, evaluate=False), p*p) == 3744312326 + + +@slow +def test_binomial_Mod_slow(): + p, q = 10**5 + 3, 10**9 + 33 # prime modulo + r, s = 10**7 + 5, 33333333 # composite modulo + + n, k, m = symbols('n k m') + assert (binomial(n, k) % q).subs({n: s, k: p}) == Mod(binomial(s, p), q) + assert (binomial(n, k) % m).subs({n: 8, k: 5, m: 13}) == 4 + assert (binomial(9, k) % 7).subs(k, 2) == 1 + + # Lucas Theorem + assert Mod(binomial(123456, 43253, evaluate=False), p) == Mod(binomial(123456, 43253), p) + assert Mod(binomial(-178911, 237, evaluate=False), p) == Mod(-binomial(178911 + 237 - 1, 237), p) + assert Mod(binomial(-178911, 238, evaluate=False), p) == Mod(binomial(178911 + 238 - 1, 238), p) + + # factorial Mod + assert Mod(binomial(9734, 451, evaluate=False), q) == Mod(binomial(9734, 451), q) + assert Mod(binomial(-10733, 4459, evaluate=False), q) == Mod(binomial(-10733, 4459), q) + assert Mod(binomial(-15733, 4458, evaluate=False), q) == Mod(binomial(-15733, 4458), q) + assert Mod(binomial(23, -38, evaluate=False), q) is S.Zero + assert Mod(binomial(23, 38, evaluate=False), q) is S.Zero + + # binomial factorize + assert Mod(binomial(753, 119, evaluate=False), r) == Mod(binomial(753, 119), r) + assert Mod(binomial(3781, 948, evaluate=False), s) == Mod(binomial(3781, 948), s) + assert Mod(binomial(25773, 1793, evaluate=False), s) == Mod(binomial(25773, 1793), s) + assert Mod(binomial(-753, 118, evaluate=False), r) == Mod(binomial(-753, 118), r) + assert Mod(binomial(-25773, 1793, evaluate=False), s) == Mod(binomial(-25773, 1793), s) + + +def test_binomial_diff(): + n = Symbol('n', integer=True) + k = Symbol('k', integer=True) + + assert binomial(n, k).diff(n) == \ + (-polygamma(0, 1 + n - k) + polygamma(0, 1 + n))*binomial(n, k) + assert binomial(n**2, k**3).diff(n) == \ + 2*n*(-polygamma( + 0, 1 + n**2 - k**3) + polygamma(0, 1 + n**2))*binomial(n**2, k**3) + + assert binomial(n, k).diff(k) == \ + (-polygamma(0, 1 + k) + polygamma(0, 1 + n - k))*binomial(n, k) + assert binomial(n**2, k**3).diff(k) == \ + 3*k**2*(-polygamma( + 0, 1 + k**3) + polygamma(0, 1 + n**2 - k**3))*binomial(n**2, k**3) + raises(ArgumentIndexError, lambda: binomial(n, k).fdiff(3)) + + +def test_binomial_rewrite(): + n = Symbol('n', integer=True) + k = Symbol('k', integer=True) + x = Symbol('x') + + assert binomial(n, k).rewrite( + factorial) == factorial(n)/(factorial(k)*factorial(n - k)) + assert binomial( + n, k).rewrite(gamma) == gamma(n + 1)/(gamma(k + 1)*gamma(n - k + 1)) + assert binomial(n, k).rewrite(ff) == ff(n, k) / factorial(k) + assert binomial(n, x).rewrite(ff) == binomial(n, x) + + +@XFAIL +def test_factorial_simplify_fail(): + # simplify(factorial(x + 1).diff(x) - ((x + 1)*factorial(x)).diff(x))) == 0 + from sympy.abc import x + assert simplify(x*polygamma(0, x + 1) - x*polygamma(0, x + 2) + + polygamma(0, x + 1) - polygamma(0, x + 2) + 1) == 0 + + +def test_subfactorial(): + assert all(subfactorial(i) == ans for i, ans in enumerate( + [1, 0, 1, 2, 9, 44, 265, 1854, 14833, 133496])) + assert subfactorial(oo) is oo + assert subfactorial(nan) is nan + assert subfactorial(23) == 9510425471055777937262 + assert unchanged(subfactorial, 2.2) + + x = Symbol('x') + assert subfactorial(x).rewrite(uppergamma) == uppergamma(x + 1, -1)/S.Exp1 + + tt = Symbol('tt', integer=True, nonnegative=True) + tf = Symbol('tf', integer=True, nonnegative=False) + tn = Symbol('tf', integer=True) + ft = Symbol('ft', integer=False, nonnegative=True) + ff = Symbol('ff', integer=False, nonnegative=False) + fn = Symbol('ff', integer=False) + nt = Symbol('nt', nonnegative=True) + nf = Symbol('nf', nonnegative=False) + nn = Symbol('nf') + te = Symbol('te', even=True, nonnegative=True) + to = Symbol('to', odd=True, nonnegative=True) + assert subfactorial(tt).is_integer + assert subfactorial(tf).is_integer is None + assert subfactorial(tn).is_integer is None + assert subfactorial(ft).is_integer is None + assert subfactorial(ff).is_integer is None + assert subfactorial(fn).is_integer is None + assert subfactorial(nt).is_integer is None + assert subfactorial(nf).is_integer is None + assert subfactorial(nn).is_integer is None + assert subfactorial(tt).is_nonnegative + assert subfactorial(tf).is_nonnegative is None + assert subfactorial(tn).is_nonnegative is None + assert subfactorial(ft).is_nonnegative is None + assert subfactorial(ff).is_nonnegative is None + assert subfactorial(fn).is_nonnegative is None + assert subfactorial(nt).is_nonnegative is None + assert subfactorial(nf).is_nonnegative is None + assert subfactorial(nn).is_nonnegative is None + assert subfactorial(tt).is_even is None + assert subfactorial(tt).is_odd is None + assert subfactorial(te).is_odd is True + assert subfactorial(to).is_even is True diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/combinatorial/tests/test_comb_numbers.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/combinatorial/tests/test_comb_numbers.py new file mode 100644 index 0000000000000000000000000000000000000000..83a7de89ed8e4fcc433d29f41fc87b9d0d397539 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/combinatorial/tests/test_comb_numbers.py @@ -0,0 +1,1250 @@ +import string + +from sympy.concrete.products import Product +from sympy.concrete.summations import Sum +from sympy.core.function import (diff, expand_func) +from sympy.core import (EulerGamma, TribonacciConstant) +from sympy.core.numbers import (Float, I, Rational, oo, pi) +from sympy.core.singleton import S +from sympy.core.symbol import (Dummy, Symbol, symbols) +from sympy.functions.combinatorial.numbers import carmichael +from sympy.functions.elementary.complexes import (im, re) +from sympy.functions.elementary.integers import floor +from sympy.polys.polytools import cancel +from sympy.series.limits import limit, Limit +from sympy.series.order import O +from sympy.functions import ( + bernoulli, harmonic, bell, fibonacci, tribonacci, lucas, euler, catalan, + genocchi, andre, partition, divisor_sigma, udivisor_sigma, legendre_symbol, + jacobi_symbol, kronecker_symbol, mobius, + primenu, primeomega, totient, reduced_totient, primepi, + motzkin, binomial, gamma, sqrt, cbrt, hyper, log, digamma, + trigamma, polygamma, factorial, sin, cos, cot, polylog, zeta, dirichlet_eta) +from sympy.functions.combinatorial.numbers import _nT +from sympy.ntheory.factor_ import factorint + +from sympy.core.expr import unchanged +from sympy.core.numbers import GoldenRatio, Integer + +from sympy.testing.pytest import raises, nocache_fail, warns_deprecated_sympy +from sympy.abc import x + + +def test_carmichael(): + with warns_deprecated_sympy(): + assert carmichael.is_prime(2821) == False + + +def test_bernoulli(): + assert bernoulli(0) == 1 + assert bernoulli(1) == Rational(1, 2) + assert bernoulli(2) == Rational(1, 6) + assert bernoulli(3) == 0 + assert bernoulli(4) == Rational(-1, 30) + assert bernoulli(5) == 0 + assert bernoulli(6) == Rational(1, 42) + assert bernoulli(7) == 0 + assert bernoulli(8) == Rational(-1, 30) + assert bernoulli(10) == Rational(5, 66) + assert bernoulli(1000001) == 0 + + assert bernoulli(0, x) == 1 + assert bernoulli(1, x) == x - S.Half + assert bernoulli(2, x) == x**2 - x + Rational(1, 6) + assert bernoulli(3, x) == x**3 - (3*x**2)/2 + x/2 + + # Should be fast; computed with mpmath + b = bernoulli(1000) + assert b.p % 10**10 == 7950421099 + assert b.q == 342999030 + + b = bernoulli(10**6, evaluate=False).evalf() + assert str(b) == '-2.23799235765713e+4767529' + + # Issue #8527 + l = Symbol('l', integer=True) + m = Symbol('m', integer=True, nonnegative=True) + n = Symbol('n', integer=True, positive=True) + assert isinstance(bernoulli(2 * l + 1), bernoulli) + assert isinstance(bernoulli(2 * m + 1), bernoulli) + assert bernoulli(2 * n + 1) == 0 + + assert bernoulli(x, 1) == bernoulli(x) + + assert str(bernoulli(0.0, 2.3).evalf(n=10)) == '1.000000000' + assert str(bernoulli(1.0).evalf(n=10)) == '0.5000000000' + assert str(bernoulli(1.2).evalf(n=10)) == '0.4195995367' + assert str(bernoulli(1.2, 0.8).evalf(n=10)) == '0.2144830348' + assert str(bernoulli(1.2, -0.8).evalf(n=10)) == '-1.158865646 - 0.6745558744*I' + assert str(bernoulli(3.0, 1j).evalf(n=10)) == '1.5 - 0.5*I' + assert str(bernoulli(I).evalf(n=10)) == '0.9268485643 - 0.5821580598*I' + assert str(bernoulli(I, I).evalf(n=10)) == '0.1267792071 + 0.01947413152*I' + assert bernoulli(x).evalf() == bernoulli(x) + + +def test_bernoulli_rewrite(): + from sympy.functions.elementary.piecewise import Piecewise + n = Symbol('n', integer=True, nonnegative=True) + + assert bernoulli(-1).rewrite(zeta) == pi**2/6 + assert bernoulli(-2).rewrite(zeta) == 2*zeta(3) + assert not bernoulli(n, -3).rewrite(zeta).has(harmonic) + assert bernoulli(-4, x).rewrite(zeta) == 4*zeta(5, x) + assert isinstance(bernoulli(n, x).rewrite(zeta), Piecewise) + assert bernoulli(n+1, x).rewrite(zeta) == -(n+1) * zeta(-n, x) + + +def test_fibonacci(): + assert [fibonacci(n) for n in range(-3, 5)] == [2, -1, 1, 0, 1, 1, 2, 3] + assert fibonacci(100) == 354224848179261915075 + assert [lucas(n) for n in range(-3, 5)] == [-4, 3, -1, 2, 1, 3, 4, 7] + assert lucas(100) == 792070839848372253127 + + assert fibonacci(1, x) == 1 + assert fibonacci(2, x) == x + assert fibonacci(3, x) == x**2 + 1 + assert fibonacci(4, x) == x**3 + 2*x + + # issue #8800 + n = Dummy('n') + assert fibonacci(n).limit(n, S.Infinity) is S.Infinity + assert lucas(n).limit(n, S.Infinity) is S.Infinity + + assert fibonacci(n).rewrite(sqrt) == \ + 2**(-n)*sqrt(5)*((1 + sqrt(5))**n - (-sqrt(5) + 1)**n) / 5 + assert fibonacci(n).rewrite(sqrt).subs(n, 10).expand() == fibonacci(10) + assert fibonacci(n).rewrite(GoldenRatio).subs(n,10).evalf() == \ + Float(fibonacci(10)) + assert lucas(n).rewrite(sqrt) == \ + (fibonacci(n-1).rewrite(sqrt) + fibonacci(n+1).rewrite(sqrt)).simplify() + assert lucas(n).rewrite(sqrt).subs(n, 10).expand() == lucas(10) + raises(ValueError, lambda: fibonacci(-3, x)) + + +def test_tribonacci(): + assert [tribonacci(n) for n in range(8)] == [0, 1, 1, 2, 4, 7, 13, 24] + assert tribonacci(100) == 98079530178586034536500564 + + assert tribonacci(0, x) == 0 + assert tribonacci(1, x) == 1 + assert tribonacci(2, x) == x**2 + assert tribonacci(3, x) == x**4 + x + assert tribonacci(4, x) == x**6 + 2*x**3 + 1 + assert tribonacci(5, x) == x**8 + 3*x**5 + 3*x**2 + + n = Dummy('n') + assert tribonacci(n).limit(n, S.Infinity) is S.Infinity + + w = (-1 + S.ImaginaryUnit * sqrt(3)) / 2 + a = (1 + cbrt(19 + 3*sqrt(33)) + cbrt(19 - 3*sqrt(33))) / 3 + b = (1 + w*cbrt(19 + 3*sqrt(33)) + w**2*cbrt(19 - 3*sqrt(33))) / 3 + c = (1 + w**2*cbrt(19 + 3*sqrt(33)) + w*cbrt(19 - 3*sqrt(33))) / 3 + assert tribonacci(n).rewrite(sqrt) == \ + (a**(n + 1)/((a - b)*(a - c)) + + b**(n + 1)/((b - a)*(b - c)) + + c**(n + 1)/((c - a)*(c - b))) + assert tribonacci(n).rewrite(sqrt).subs(n, 4).simplify() == tribonacci(4) + assert tribonacci(n).rewrite(GoldenRatio).subs(n,10).evalf() == \ + Float(tribonacci(10)) + assert tribonacci(n).rewrite(TribonacciConstant) == floor( + 3*TribonacciConstant**n*(102*sqrt(33) + 586)**Rational(1, 3)/ + (-2*(102*sqrt(33) + 586)**Rational(1, 3) + 4 + (102*sqrt(33) + + 586)**Rational(2, 3)) + S.Half) + raises(ValueError, lambda: tribonacci(-1, x)) + + +@nocache_fail +def test_bell(): + assert [bell(n) for n in range(8)] == [1, 1, 2, 5, 15, 52, 203, 877] + + assert bell(0, x) == 1 + assert bell(1, x) == x + assert bell(2, x) == x**2 + x + assert bell(5, x) == x**5 + 10*x**4 + 25*x**3 + 15*x**2 + x + assert bell(oo) is S.Infinity + raises(ValueError, lambda: bell(oo, x)) + + raises(ValueError, lambda: bell(-1)) + raises(ValueError, lambda: bell(S.Half)) + + X = symbols('x:6') + # X = (x0, x1, .. x5) + # at the same time: X[1] = x1, X[2] = x2 for standard readablity. + # but we must supply zero-based indexed object X[1:] = (x1, .. x5) + + assert bell(6, 2, X[1:]) == 6*X[5]*X[1] + 15*X[4]*X[2] + 10*X[3]**2 + assert bell( + 6, 3, X[1:]) == 15*X[4]*X[1]**2 + 60*X[3]*X[2]*X[1] + 15*X[2]**3 + + X = (1, 10, 100, 1000, 10000) + assert bell(6, 2, X) == (6 + 15 + 10)*10000 + + X = (1, 2, 3, 3, 5) + assert bell(6, 2, X) == 6*5 + 15*3*2 + 10*3**2 + + X = (1, 2, 3, 5) + assert bell(6, 3, X) == 15*5 + 60*3*2 + 15*2**3 + + # Dobinski's formula + n = Symbol('n', integer=True, nonnegative=True) + # For large numbers, this is too slow + # For nonintegers, there are significant precision errors + for i in [0, 2, 3, 7, 13, 42, 55]: + # Running without the cache this is either very slow or goes into an + # infinite loop. + assert bell(i).evalf() == bell(n).rewrite(Sum).evalf(subs={n: i}) + + m = Symbol("m") + assert bell(m).rewrite(Sum) == bell(m) + assert bell(n, m).rewrite(Sum) == bell(n, m) + # issue 9184 + n = Dummy('n') + assert bell(n).limit(n, S.Infinity) is S.Infinity + + +def test_harmonic(): + n = Symbol("n") + m = Symbol("m") + + assert harmonic(n, 0) == n + assert harmonic(n).evalf() == harmonic(n) + assert harmonic(n, 1) == harmonic(n) + assert harmonic(1, n) == 1 + + assert harmonic(0, 1) == 0 + assert harmonic(1, 1) == 1 + assert harmonic(2, 1) == Rational(3, 2) + assert harmonic(3, 1) == Rational(11, 6) + assert harmonic(4, 1) == Rational(25, 12) + assert harmonic(0, 2) == 0 + assert harmonic(1, 2) == 1 + assert harmonic(2, 2) == Rational(5, 4) + assert harmonic(3, 2) == Rational(49, 36) + assert harmonic(4, 2) == Rational(205, 144) + assert harmonic(0, 3) == 0 + assert harmonic(1, 3) == 1 + assert harmonic(2, 3) == Rational(9, 8) + assert harmonic(3, 3) == Rational(251, 216) + assert harmonic(4, 3) == Rational(2035, 1728) + + assert harmonic(oo, -1) is S.NaN + assert harmonic(oo, 0) is oo + assert harmonic(oo, S.Half) is oo + assert harmonic(oo, 1) is oo + assert harmonic(oo, 2) == (pi**2)/6 + assert harmonic(oo, 3) == zeta(3) + assert harmonic(oo, Dummy(negative=True)) is S.NaN + ip = Dummy(integer=True, positive=True) + if (1/ip <= 1) is True: #---------------------------------+ + assert None, 'delete this if-block and the next line' #| + ip = Dummy(even=True, positive=True) #--------------------+ + assert harmonic(oo, 1/ip) is oo + assert harmonic(oo, 1 + ip) is zeta(1 + ip) + + assert harmonic(0, m) == 0 + assert harmonic(-1, -1) == 0 + assert harmonic(-1, 0) == -1 + assert harmonic(-1, 1) is S.ComplexInfinity + assert harmonic(-1, 2) is S.NaN + assert harmonic(-3, -2) == -5 + assert harmonic(-3, -3) == 9 + + +def test_harmonic_rational(): + ne = S(6) + no = S(5) + pe = S(8) + po = S(9) + qe = S(10) + qo = S(13) + + Heee = harmonic(ne + pe/qe) + Aeee = (-log(10) + 2*(Rational(-1, 4) + sqrt(5)/4)*log(sqrt(-sqrt(5)/8 + Rational(5, 8))) + + 2*(-sqrt(5)/4 - Rational(1, 4))*log(sqrt(sqrt(5)/8 + Rational(5, 8))) + + pi*sqrt(2*sqrt(5)/5 + 1)/2 + Rational(13944145, 4720968)) + + Heeo = harmonic(ne + pe/qo) + Aeeo = (-log(26) + 2*log(sin(pi*Rational(3, 13)))*cos(pi*Rational(4, 13)) + 2*log(sin(pi*Rational(2, 13)))*cos(pi*Rational(32, 13)) + + 2*log(sin(pi*Rational(5, 13)))*cos(pi*Rational(80, 13)) - 2*log(sin(pi*Rational(6, 13)))*cos(pi*Rational(5, 13)) + - 2*log(sin(pi*Rational(4, 13)))*cos(pi/13) + pi*cot(pi*Rational(5, 13))/2 - 2*log(sin(pi/13))*cos(pi*Rational(3, 13)) + + Rational(2422020029, 702257080)) + + Heoe = harmonic(ne + po/qe) + Aeoe = (-log(20) + 2*(Rational(1, 4) + sqrt(5)/4)*log(Rational(-1, 4) + sqrt(5)/4) + + 2*(Rational(-1, 4) + sqrt(5)/4)*log(sqrt(-sqrt(5)/8 + Rational(5, 8))) + + 2*(-sqrt(5)/4 - Rational(1, 4))*log(sqrt(sqrt(5)/8 + Rational(5, 8))) + + 2*(-sqrt(5)/4 + Rational(1, 4))*log(Rational(1, 4) + sqrt(5)/4) + + Rational(11818877030, 4286604231) + pi*sqrt(2*sqrt(5) + 5)/2) + + Heoo = harmonic(ne + po/qo) + Aeoo = (-log(26) + 2*log(sin(pi*Rational(3, 13)))*cos(pi*Rational(54, 13)) + 2*log(sin(pi*Rational(4, 13)))*cos(pi*Rational(6, 13)) + + 2*log(sin(pi*Rational(6, 13)))*cos(pi*Rational(108, 13)) - 2*log(sin(pi*Rational(5, 13)))*cos(pi/13) + - 2*log(sin(pi/13))*cos(pi*Rational(5, 13)) + pi*cot(pi*Rational(4, 13))/2 + - 2*log(sin(pi*Rational(2, 13)))*cos(pi*Rational(3, 13)) + Rational(11669332571, 3628714320)) + + Hoee = harmonic(no + pe/qe) + Aoee = (-log(10) + 2*(Rational(-1, 4) + sqrt(5)/4)*log(sqrt(-sqrt(5)/8 + Rational(5, 8))) + + 2*(-sqrt(5)/4 - Rational(1, 4))*log(sqrt(sqrt(5)/8 + Rational(5, 8))) + + pi*sqrt(2*sqrt(5)/5 + 1)/2 + Rational(779405, 277704)) + + Hoeo = harmonic(no + pe/qo) + Aoeo = (-log(26) + 2*log(sin(pi*Rational(3, 13)))*cos(pi*Rational(4, 13)) + 2*log(sin(pi*Rational(2, 13)))*cos(pi*Rational(32, 13)) + + 2*log(sin(pi*Rational(5, 13)))*cos(pi*Rational(80, 13)) - 2*log(sin(pi*Rational(6, 13)))*cos(pi*Rational(5, 13)) + - 2*log(sin(pi*Rational(4, 13)))*cos(pi/13) + pi*cot(pi*Rational(5, 13))/2 + - 2*log(sin(pi/13))*cos(pi*Rational(3, 13)) + Rational(53857323, 16331560)) + + Hooe = harmonic(no + po/qe) + Aooe = (-log(20) + 2*(Rational(1, 4) + sqrt(5)/4)*log(Rational(-1, 4) + sqrt(5)/4) + + 2*(Rational(-1, 4) + sqrt(5)/4)*log(sqrt(-sqrt(5)/8 + Rational(5, 8))) + + 2*(-sqrt(5)/4 - Rational(1, 4))*log(sqrt(sqrt(5)/8 + Rational(5, 8))) + + 2*(-sqrt(5)/4 + Rational(1, 4))*log(Rational(1, 4) + sqrt(5)/4) + + Rational(486853480, 186374097) + pi*sqrt(2*sqrt(5) + 5)/2) + + Hooo = harmonic(no + po/qo) + Aooo = (-log(26) + 2*log(sin(pi*Rational(3, 13)))*cos(pi*Rational(54, 13)) + 2*log(sin(pi*Rational(4, 13)))*cos(pi*Rational(6, 13)) + + 2*log(sin(pi*Rational(6, 13)))*cos(pi*Rational(108, 13)) - 2*log(sin(pi*Rational(5, 13)))*cos(pi/13) + - 2*log(sin(pi/13))*cos(pi*Rational(5, 13)) + pi*cot(pi*Rational(4, 13))/2 + - 2*log(sin(pi*Rational(2, 13)))*cos(3*pi/13) + Rational(383693479, 125128080)) + + H = [Heee, Heeo, Heoe, Heoo, Hoee, Hoeo, Hooe, Hooo] + A = [Aeee, Aeeo, Aeoe, Aeoo, Aoee, Aoeo, Aooe, Aooo] + for h, a in zip(H, A): + e = expand_func(h).doit() + assert cancel(e/a) == 1 + assert abs(h.n() - a.n()) < 1e-12 + + +def test_harmonic_evalf(): + assert str(harmonic(1.5).evalf(n=10)) == '1.280372306' + assert str(harmonic(1.5, 2).evalf(n=10)) == '1.154576311' # issue 7443 + assert str(harmonic(4.0, -3).evalf(n=10)) == '100.0000000' + assert str(harmonic(7.0, 1.0).evalf(n=10)) == '2.592857143' + assert str(harmonic(1, pi).evalf(n=10)) == '1.000000000' + assert str(harmonic(2, pi).evalf(n=10)) == '1.113314732' + assert str(harmonic(1000.0, pi).evalf(n=10)) == '1.176241563' + assert str(harmonic(I).evalf(n=10)) == '0.6718659855 + 1.076674047*I' + assert str(harmonic(I, I).evalf(n=10)) == '-0.3970915266 + 1.9629689*I' + + assert harmonic(-1.0, 1).evalf() is S.NaN + assert harmonic(-2.0, 2.0).evalf() is S.NaN + +def test_harmonic_rewrite(): + from sympy.functions.elementary.piecewise import Piecewise + n = Symbol("n") + m = Symbol("m", integer=True, positive=True) + x1 = Symbol("x1", positive=True) + x2 = Symbol("x2", negative=True) + + assert harmonic(n).rewrite(digamma) == polygamma(0, n + 1) + EulerGamma + assert harmonic(n).rewrite(trigamma) == polygamma(0, n + 1) + EulerGamma + assert harmonic(n).rewrite(polygamma) == polygamma(0, n + 1) + EulerGamma + + assert harmonic(n,3).rewrite(polygamma) == polygamma(2, n + 1)/2 - polygamma(2, 1)/2 + assert isinstance(harmonic(n,m).rewrite(polygamma), Piecewise) + + assert expand_func(harmonic(n+4)) == harmonic(n) + 1/(n + 4) + 1/(n + 3) + 1/(n + 2) + 1/(n + 1) + assert expand_func(harmonic(n-4)) == harmonic(n) - 1/(n - 1) - 1/(n - 2) - 1/(n - 3) - 1/n + + assert harmonic(n, m).rewrite("tractable") == harmonic(n, m).rewrite(polygamma) + assert harmonic(n, x1).rewrite("tractable") == harmonic(n, x1) + assert harmonic(n, x1 + 1).rewrite("tractable") == zeta(x1 + 1) - zeta(x1 + 1, n + 1) + assert harmonic(n, x2).rewrite("tractable") == zeta(x2) - zeta(x2, n + 1) + + _k = Dummy("k") + assert harmonic(n).rewrite(Sum).dummy_eq(Sum(1/_k, (_k, 1, n))) + assert harmonic(n, m).rewrite(Sum).dummy_eq(Sum(_k**(-m), (_k, 1, n))) + + +def test_harmonic_calculus(): + y = Symbol("y", positive=True) + z = Symbol("z", negative=True) + assert harmonic(x, 1).limit(x, 0) == 0 + assert harmonic(x, y).limit(x, 0) == 0 + assert harmonic(x, 1).series(x, y, 2) == \ + harmonic(y) + (x - y)*zeta(2, y + 1) + O((x - y)**2, (x, y)) + assert limit(harmonic(x, y), x, oo) == harmonic(oo, y) + assert limit(harmonic(x, y + 1), x, oo) == zeta(y + 1) + assert limit(harmonic(x, y - 1), x, oo) == harmonic(oo, y - 1) + assert limit(harmonic(x, z), x, oo) == Limit(harmonic(x, z), x, oo, dir='-') + assert limit(harmonic(x, z + 1), x, oo) == oo + assert limit(harmonic(x, z + 2), x, oo) == harmonic(oo, z + 2) + assert limit(harmonic(x, z - 1), x, oo) == Limit(harmonic(x, z - 1), x, oo, dir='-') + + +def test_euler(): + assert euler(0) == 1 + assert euler(1) == 0 + assert euler(2) == -1 + assert euler(3) == 0 + assert euler(4) == 5 + assert euler(6) == -61 + assert euler(8) == 1385 + + assert euler(20, evaluate=False) != 370371188237525 + + n = Symbol('n', integer=True) + assert euler(n) != -1 + assert euler(n).subs(n, 2) == -1 + + assert euler(-1) == S.Pi / 2 + assert euler(-1, 1) == 2*log(2) + assert euler(-2).evalf() == (2*S.Catalan).evalf() + assert euler(-3).evalf() == (S.Pi**3 / 16).evalf() + assert str(euler(2.3).evalf(n=10)) == '-1.052850274' + assert str(euler(1.2, 3.4).evalf(n=10)) == '3.575613489' + assert str(euler(I).evalf(n=10)) == '1.248446443 - 0.7675445124*I' + assert str(euler(I, I).evalf(n=10)) == '0.04812930469 + 0.01052411008*I' + + assert euler(20).evalf() == 370371188237525.0 + assert euler(20, evaluate=False).evalf() == 370371188237525.0 + + assert euler(n).rewrite(Sum) == euler(n) + n = Symbol('n', integer=True, nonnegative=True) + assert euler(2*n + 1).rewrite(Sum) == 0 + _j = Dummy('j') + _k = Dummy('k') + assert euler(2*n).rewrite(Sum).dummy_eq( + I*Sum((-1)**_j*2**(-_k)*I**(-_k)*(-2*_j + _k)**(2*n + 1)* + binomial(_k, _j)/_k, (_j, 0, _k), (_k, 1, 2*n + 1))) + + +def test_euler_odd(): + n = Symbol('n', odd=True, positive=True) + assert euler(n) == 0 + n = Symbol('n', odd=True) + assert euler(n) != 0 + + +def test_euler_polynomials(): + assert euler(0, x) == 1 + assert euler(1, x) == x - S.Half + assert euler(2, x) == x**2 - x + assert euler(3, x) == x**3 - (3*x**2)/2 + Rational(1, 4) + m = Symbol('m') + assert isinstance(euler(m, x), euler) + from sympy.core.numbers import Float + A = Float('-0.46237208575048694923364757452876131e8') # from Maple + B = euler(19, S.Pi).evalf(32) + assert abs((A - B)/A) < 1e-31 + z = Float(0.1) + Float(0.2)*I + expected = Float(-3126.54721663773 ) + Float(565.736261497056) * I + assert abs(euler(13, z) - expected) < 1e-10 + + +def test_euler_polynomial_rewrite(): + m = Symbol('m') + A = euler(m, x).rewrite('Sum') + assert A.subs({m:3, x:5}).doit() == euler(3, 5) + + +def test_catalan(): + n = Symbol('n', integer=True) + m = Symbol('m', integer=True, positive=True) + k = Symbol('k', integer=True, nonnegative=True) + p = Symbol('p', nonnegative=True) + + catalans = [1, 1, 2, 5, 14, 42, 132, 429, 1430, 4862, 16796, 58786] + for i, c in enumerate(catalans): + assert catalan(i) == c + assert catalan(n).rewrite(factorial).subs(n, i) == c + assert catalan(n).rewrite(Product).subs(n, i).doit() == c + + assert unchanged(catalan, x) + assert catalan(2*x).rewrite(binomial) == binomial(4*x, 2*x)/(2*x + 1) + assert catalan(S.Half).rewrite(gamma) == 8/(3*pi) + assert catalan(S.Half).rewrite(factorial).rewrite(gamma) ==\ + 8 / (3 * pi) + assert catalan(3*x).rewrite(gamma) == 4**( + 3*x)*gamma(3*x + S.Half)/(sqrt(pi)*gamma(3*x + 2)) + assert catalan(x).rewrite(hyper) == hyper((-x + 1, -x), (2,), 1) + + assert catalan(n).rewrite(factorial) == factorial(2*n) / (factorial(n + 1) + * factorial(n)) + assert isinstance(catalan(n).rewrite(Product), catalan) + assert isinstance(catalan(m).rewrite(Product), Product) + + assert diff(catalan(x), x) == (polygamma( + 0, x + S.Half) - polygamma(0, x + 2) + log(4))*catalan(x) + + assert catalan(x).evalf() == catalan(x) + c = catalan(S.Half).evalf() + assert str(c) == '0.848826363156775' + c = catalan(I).evalf(3) + assert str((re(c), im(c))) == '(0.398, -0.0209)' + + # Assumptions + assert catalan(p).is_positive is True + assert catalan(k).is_integer is True + assert catalan(m+3).is_composite is True + + +def test_genocchi(): + genocchis = [0, -1, -1, 0, 1, 0, -3, 0, 17] + for n, g in enumerate(genocchis): + assert genocchi(n) == g + + m = Symbol('m', integer=True) + n = Symbol('n', integer=True, positive=True) + assert unchanged(genocchi, m) + assert genocchi(2*n + 1) == 0 + gn = 2 * (1 - 2**n) * bernoulli(n) + assert genocchi(n).rewrite(bernoulli).factor() == gn.factor() + gnx = 2 * (bernoulli(n, x) - 2**n * bernoulli(n, (x+1) / 2)) + assert genocchi(n, x).rewrite(bernoulli).factor() == gnx.factor() + assert genocchi(2 * n).is_odd + assert genocchi(2 * n).is_even is False + assert genocchi(2 * n + 1).is_even + assert genocchi(n).is_integer + assert genocchi(4 * n).is_positive + # these are the only 2 prime Genocchi numbers + assert genocchi(6, evaluate=False).is_prime == S(-3).is_prime + assert genocchi(8, evaluate=False).is_prime + assert genocchi(4 * n + 2).is_negative + assert genocchi(4 * n + 1).is_negative is False + assert genocchi(4 * n - 2).is_negative + + g0 = genocchi(0, evaluate=False) + assert g0.is_positive is False + assert g0.is_negative is False + assert g0.is_even is True + assert g0.is_odd is False + + assert genocchi(0, x) == 0 + assert genocchi(1, x) == -1 + assert genocchi(2, x) == 1 - 2*x + assert genocchi(3, x) == 3*x - 3*x**2 + assert genocchi(4, x) == -1 + 6*x**2 - 4*x**3 + y = Symbol("y") + assert genocchi(5, (x+y)**100) == -5*(x+y)**400 + 10*(x+y)**300 - 5*(x+y)**100 + + assert str(genocchi(5.0, 4.0).evalf(n=10)) == '-660.0000000' + assert str(genocchi(Rational(5, 4)).evalf(n=10)) == '-1.104286457' + assert str(genocchi(-2).evalf(n=10)) == '3.606170709' + assert str(genocchi(1.3, 3.7).evalf(n=10)) == '-1.847375373' + assert str(genocchi(I, 1.0).evalf(n=10)) == '-0.3161917278 - 1.45311955*I' + + n = Symbol('n') + assert genocchi(n, x).rewrite(dirichlet_eta) == -2*n * dirichlet_eta(1-n, x) + + +def test_andre(): + nums = [1, 1, 1, 2, 5, 16, 61, 272, 1385, 7936, 50521] + for n, a in enumerate(nums): + assert andre(n) == a + assert andre(S.Infinity) == S.Infinity + assert andre(-1) == -log(2) + assert andre(-2) == -2*S.Catalan + assert andre(-3) == 3*zeta(3)/16 + assert andre(-5) == -15*zeta(5)/256 + # In fact andre(-2*n) is related to the Dirichlet *beta* function + # at 2*n, but SymPy doesn't implement that (or general L-functions) + assert unchanged(andre, -4) + + n = Symbol('n', integer=True, nonnegative=True) + assert unchanged(andre, n) + assert andre(n).is_integer is True + assert andre(n).is_positive is True + + assert str(andre(10, evaluate=False).evalf(n=10)) == '50521.00000' + assert str(andre(-1, evaluate=False).evalf(n=10)) == '-0.6931471806' + assert str(andre(-2, evaluate=False).evalf(n=10)) == '-1.831931188' + assert str(andre(-4, evaluate=False).evalf(n=10)) == '1.977889103' + assert str(andre(I, evaluate=False).evalf(n=10)) == '2.378417833 + 0.6343322845*I' + + assert andre(x).rewrite(polylog) == \ + (-I)**(x+1) * polylog(-x, I) + I**(x+1) * polylog(-x, -I) + assert andre(x).rewrite(zeta) == \ + 2 * gamma(x+1) / (2*pi)**(x+1) * \ + (zeta(x+1, Rational(1,4)) - cos(pi*x) * zeta(x+1, Rational(3,4))) + + +@nocache_fail +def test_partition(): + partition_nums = [1, 1, 2, 3, 5, 7, 11, 15, 22] + for n, p in enumerate(partition_nums): + assert partition(n) == p + + x = Symbol('x') + y = Symbol('y', real=True) + m = Symbol('m', integer=True) + n = Symbol('n', integer=True, negative=True) + p = Symbol('p', integer=True, nonnegative=True) + assert partition(m).is_integer + assert not partition(m).is_negative + assert partition(m).is_nonnegative + assert partition(n).is_zero + assert partition(p).is_positive + assert partition(x).subs(x, 7) == 15 + assert partition(y).subs(y, 8) == 22 + raises(TypeError, lambda: partition(Rational(5, 4))) + assert partition(9, evaluate=False) % 5 == 0 + assert partition(5*m + 4) % 5 == 0 + assert partition(47, evaluate=False) % 7 == 0 + assert partition(7*m + 5) % 7 == 0 + assert partition(50, evaluate=False) % 11 == 0 + assert partition(11*m + 6) % 11 == 0 + + +def test_divisor_sigma(): + # error + m = Symbol('m', integer=False) + raises(TypeError, lambda: divisor_sigma(m)) + raises(TypeError, lambda: divisor_sigma(4.5)) + raises(TypeError, lambda: divisor_sigma(1, m)) + raises(TypeError, lambda: divisor_sigma(1, 4.5)) + m = Symbol('m', positive=False) + raises(ValueError, lambda: divisor_sigma(m)) + raises(ValueError, lambda: divisor_sigma(0)) + m = Symbol('m', negative=True) + raises(ValueError, lambda: divisor_sigma(1, m)) + raises(ValueError, lambda: divisor_sigma(1, -1)) + + # special case + p = Symbol('p', prime=True) + k = Symbol('k', integer=True) + assert divisor_sigma(p, 1) == p + 1 + assert divisor_sigma(p, k) == p**k + 1 + + # property + n = Symbol('n', integer=True, positive=True) + assert divisor_sigma(n).is_integer is True + assert divisor_sigma(n).is_positive is True + + # symbolic + k = Symbol('k', integer=True, zero=False) + assert divisor_sigma(4, k) == 2**(2*k) + 2**k + 1 + assert divisor_sigma(6, k) == (2**k + 1) * (3**k + 1) + + # Integer + assert divisor_sigma(23450) == 50592 + assert divisor_sigma(23450, 0) == 24 + assert divisor_sigma(23450, 1) == 50592 + assert divisor_sigma(23450, 2) == 730747500 + assert divisor_sigma(23450, 3) == 14666785333344 + + +def test_udivisor_sigma(): + # error + m = Symbol('m', integer=False) + raises(TypeError, lambda: udivisor_sigma(m)) + raises(TypeError, lambda: udivisor_sigma(4.5)) + raises(TypeError, lambda: udivisor_sigma(1, m)) + raises(TypeError, lambda: udivisor_sigma(1, 4.5)) + m = Symbol('m', positive=False) + raises(ValueError, lambda: udivisor_sigma(m)) + raises(ValueError, lambda: udivisor_sigma(0)) + m = Symbol('m', negative=True) + raises(ValueError, lambda: udivisor_sigma(1, m)) + raises(ValueError, lambda: udivisor_sigma(1, -1)) + + # special case + p = Symbol('p', prime=True) + k = Symbol('k', integer=True) + assert udivisor_sigma(p, 1) == p + 1 + assert udivisor_sigma(p, k) == p**k + 1 + + # property + n = Symbol('n', integer=True, positive=True) + assert udivisor_sigma(n).is_integer is True + assert udivisor_sigma(n).is_positive is True + + # Integer + A034444 = [1, 2, 2, 2, 2, 4, 2, 2, 2, 4, 2, 4, 2, 4, 4, 2, 2, 4, 2, 4, + 4, 4, 2, 4, 2, 4, 2, 4, 2, 8, 2, 2, 4, 4, 4, 4, 2, 4, 4, 4, + 2, 8, 2, 4, 4, 4, 2, 4, 2, 4, 4, 4, 2, 4, 4, 4, 4, 4, 2, 8] + for n, val in enumerate(A034444, 1): + assert udivisor_sigma(n, 0) == val + A034448 = [1, 3, 4, 5, 6, 12, 8, 9, 10, 18, 12, 20, 14, 24, 24, 17, 18, + 30, 20, 30, 32, 36, 24, 36, 26, 42, 28, 40, 30, 72, 32, 33, + 48, 54, 48, 50, 38, 60, 56, 54, 42, 96, 44, 60, 60, 72, 48] + for n, val in enumerate(A034448, 1): + assert udivisor_sigma(n, 1) == val + A034676 = [1, 5, 10, 17, 26, 50, 50, 65, 82, 130, 122, 170, 170, 250, + 260, 257, 290, 410, 362, 442, 500, 610, 530, 650, 626, 850, + 730, 850, 842, 1300, 962, 1025, 1220, 1450, 1300, 1394, 1370] + for n, val in enumerate(A034676, 1): + assert udivisor_sigma(n, 2) == val + + +def test_legendre_symbol(): + # error + m = Symbol('m', integer=False) + raises(TypeError, lambda: legendre_symbol(m, 3)) + raises(TypeError, lambda: legendre_symbol(4.5, 3)) + raises(TypeError, lambda: legendre_symbol(1, m)) + raises(TypeError, lambda: legendre_symbol(1, 4.5)) + m = Symbol('m', prime=False) + raises(ValueError, lambda: legendre_symbol(1, m)) + raises(ValueError, lambda: legendre_symbol(1, 6)) + m = Symbol('m', odd=False) + raises(ValueError, lambda: legendre_symbol(1, m)) + raises(ValueError, lambda: legendre_symbol(1, 2)) + + # special case + p = Symbol('p', prime=True) + k = Symbol('k', integer=True) + assert legendre_symbol(p*k, p) == 0 + assert legendre_symbol(1, p) == 1 + + # property + n = Symbol('n') + m = Symbol('m') + assert legendre_symbol(m, n).is_integer is True + assert legendre_symbol(m, n).is_prime is False + + # Integer + assert legendre_symbol(5, 11) == 1 + assert legendre_symbol(25, 41) == 1 + assert legendre_symbol(67, 101) == -1 + assert legendre_symbol(0, 13) == 0 + assert legendre_symbol(9, 3) == 0 + + +def test_jacobi_symbol(): + # error + m = Symbol('m', integer=False) + raises(TypeError, lambda: jacobi_symbol(m, 3)) + raises(TypeError, lambda: jacobi_symbol(4.5, 3)) + raises(TypeError, lambda: jacobi_symbol(1, m)) + raises(TypeError, lambda: jacobi_symbol(1, 4.5)) + m = Symbol('m', positive=False) + raises(ValueError, lambda: jacobi_symbol(1, m)) + raises(ValueError, lambda: jacobi_symbol(1, -6)) + m = Symbol('m', odd=False) + raises(ValueError, lambda: jacobi_symbol(1, m)) + raises(ValueError, lambda: jacobi_symbol(1, 2)) + + # special case + p = Symbol('p', integer=True) + k = Symbol('k', integer=True) + assert jacobi_symbol(p*k, p) == 0 + assert jacobi_symbol(1, p) == 1 + assert jacobi_symbol(1, 1) == 1 + assert jacobi_symbol(0, 1) == 1 + + # property + n = Symbol('n') + m = Symbol('m') + assert jacobi_symbol(m, n).is_integer is True + assert jacobi_symbol(m, n).is_prime is False + + # Integer + assert jacobi_symbol(25, 41) == 1 + assert jacobi_symbol(-23, 83) == -1 + assert jacobi_symbol(3, 9) == 0 + assert jacobi_symbol(42, 97) == -1 + assert jacobi_symbol(3, 5) == -1 + assert jacobi_symbol(7, 9) == 1 + assert jacobi_symbol(0, 3) == 0 + assert jacobi_symbol(0, 1) == 1 + assert jacobi_symbol(2, 1) == 1 + assert jacobi_symbol(1, 3) == 1 + + +def test_kronecker_symbol(): + # error + m = Symbol('m', integer=False) + raises(TypeError, lambda: kronecker_symbol(m, 3)) + raises(TypeError, lambda: kronecker_symbol(4.5, 3)) + raises(TypeError, lambda: kronecker_symbol(1, m)) + raises(TypeError, lambda: kronecker_symbol(1, 4.5)) + + # special case + p = Symbol('p', integer=True) + assert kronecker_symbol(1, p) == 1 + assert kronecker_symbol(1, 1) == 1 + assert kronecker_symbol(0, 1) == 1 + + # property + n = Symbol('n') + m = Symbol('m') + assert kronecker_symbol(m, n).is_integer is True + assert kronecker_symbol(m, n).is_prime is False + + # Integer + for n in range(3, 10, 2): + for a in range(-n, n): + val = kronecker_symbol(a, n) + assert val == jacobi_symbol(a, n) + minus = kronecker_symbol(a, -n) + if a < 0: + assert -minus == val + else: + assert minus == val + even = kronecker_symbol(a, 2 * n) + if a % 2 == 0: + assert even == 0 + elif a % 8 in [1, 7]: + assert even == val + else: + assert -even == val + assert kronecker_symbol(1, 0) == kronecker_symbol(-1, 0) == 1 + assert kronecker_symbol(0, 0) == 0 + + +def test_mobius(): + # error + m = Symbol('m', integer=False) + raises(TypeError, lambda: mobius(m)) + raises(TypeError, lambda: mobius(4.5)) + m = Symbol('m', positive=False) + raises(ValueError, lambda: mobius(m)) + raises(ValueError, lambda: mobius(-3)) + + # special case + p = Symbol('p', prime=True) + assert mobius(p) == -1 + + # property + n = Symbol('n', integer=True, positive=True) + assert mobius(n).is_integer is True + assert mobius(n).is_prime is False + + # symbolic + n = Symbol('n', integer=True, positive=True) + k = Symbol('k', integer=True, positive=True) + assert mobius(n**2) == 0 + assert mobius(4*n) == 0 + assert isinstance(mobius(n**k), mobius) + assert mobius(n**(k+1)) == 0 + assert isinstance(mobius(3**k), mobius) + assert mobius(3**(k+1)) == 0 + m = Symbol('m') + assert isinstance(mobius(4*m), mobius) + + # Integer + assert mobius(13*7) == 1 + assert mobius(1) == 1 + assert mobius(13*7*5) == -1 + assert mobius(13**2) == 0 + A008683 = [1, -1, -1, 0, -1, 1, -1, 0, 0, 1, -1, 0, -1, 1, 1, 0, -1, 0, + -1, 0, 1, 1, -1, 0, 0, 1, 0, 0, -1, -1, -1, 0, 1, 1, 1, 0, -1, + 1, 1, 0, -1, -1, -1, 0, 0, 1, -1, 0, 0, 0, 1, 0, -1, 0, 1, 0] + for n, val in enumerate(A008683, 1): + assert mobius(n) == val + + +def test_primenu(): + # error + m = Symbol('m', integer=False) + raises(TypeError, lambda: primenu(m)) + raises(TypeError, lambda: primenu(4.5)) + m = Symbol('m', positive=False) + raises(ValueError, lambda: primenu(m)) + raises(ValueError, lambda: primenu(0)) + + # special case + p = Symbol('p', prime=True) + assert primenu(p) == 1 + + # property + n = Symbol('n', integer=True, positive=True) + assert primenu(n).is_integer is True + assert primenu(n).is_nonnegative is True + + # Integer + assert primenu(7*13) == 2 + assert primenu(2*17*19) == 3 + assert primenu(2**3 * 17 * 19**2) == 3 + A001221 = [0, 1, 1, 1, 1, 2, 1, 1, 1, 2, 1, 2, 1, 2, 2, 1, 1, 2, + 1, 2, 2, 2, 1, 2, 1, 2, 1, 2, 1, 3, 1, 1, 2, 2, 2, 2] + for n, val in enumerate(A001221, 1): + assert primenu(n) == val + + +def test_primeomega(): + # error + m = Symbol('m', integer=False) + raises(TypeError, lambda: primeomega(m)) + raises(TypeError, lambda: primeomega(4.5)) + m = Symbol('m', positive=False) + raises(ValueError, lambda: primeomega(m)) + raises(ValueError, lambda: primeomega(0)) + + # special case + p = Symbol('p', prime=True) + assert primeomega(p) == 1 + + # property + n = Symbol('n', integer=True, positive=True) + assert primeomega(n).is_integer is True + assert primeomega(n).is_nonnegative is True + + # Integer + assert primeomega(7*13) == 2 + assert primeomega(2*17*19) == 3 + assert primeomega(2**3 * 17 * 19**2) == 6 + A001222 = [0, 1, 1, 2, 1, 2, 1, 3, 2, 2, 1, 3, 1, 2, 2, 4, 1, 3, + 1, 3, 2, 2, 1, 4, 2, 2, 3, 3, 1, 3, 1, 5, 2, 2, 2, 4] + for n, val in enumerate(A001222, 1): + assert primeomega(n) == val + + +def test_totient(): + # error + m = Symbol('m', integer=False) + raises(TypeError, lambda: totient(m)) + raises(TypeError, lambda: totient(4.5)) + m = Symbol('m', positive=False) + raises(ValueError, lambda: totient(m)) + raises(ValueError, lambda: totient(0)) + + # special case + p = Symbol('p', prime=True) + assert totient(p) == p - 1 + + # property + n = Symbol('n', integer=True, positive=True) + assert totient(n).is_integer is True + assert totient(n).is_positive is True + + # Integer + assert totient(7*13) == totient(factorint(7*13)) == (7-1)*(13-1) + assert totient(2*17*19) == totient(factorint(2*17*19)) == (17-1)*(19-1) + assert totient(2**3 * 17 * 19**2) == totient({2: 3, 17: 1, 19: 2}) == 2**2 * (17-1) * 19*(19-1) + A000010 = [1, 1, 2, 2, 4, 2, 6, 4, 6, 4, 10, 4, 12, 6, 8, 8, 16, + 6, 18, 8, 12, 10, 22, 8, 20, 12, 18, 12, 28, 8, 30, 16, + 20, 16, 24, 12, 36, 18, 24, 16, 40, 12, 42, 20, 24, 22] + for n, val in enumerate(A000010, 1): + assert totient(n) == val + + +def test_reduced_totient(): + # error + m = Symbol('m', integer=False) + raises(TypeError, lambda: reduced_totient(m)) + raises(TypeError, lambda: reduced_totient(4.5)) + m = Symbol('m', positive=False) + raises(ValueError, lambda: reduced_totient(m)) + raises(ValueError, lambda: reduced_totient(0)) + + # special case + p = Symbol('p', prime=True) + assert reduced_totient(p) == p - 1 + + # property + n = Symbol('n', integer=True, positive=True) + assert reduced_totient(n).is_integer is True + assert reduced_totient(n).is_positive is True + + # Integer + assert reduced_totient(7*13) == reduced_totient(factorint(7*13)) == 12 + assert reduced_totient(2*17*19) == reduced_totient(factorint(2*17*19)) == 144 + assert reduced_totient(2**2 * 11) == reduced_totient({2: 2, 11: 1}) == 10 + assert reduced_totient(2**3 * 17 * 19**2) == reduced_totient({2: 3, 17: 1, 19: 2}) == 2736 + A002322 = [1, 1, 2, 2, 4, 2, 6, 2, 6, 4, 10, 2, 12, 6, 4, 4, 16, 6, + 18, 4, 6, 10, 22, 2, 20, 12, 18, 6, 28, 4, 30, 8, 10, 16, + 12, 6, 36, 18, 12, 4, 40, 6, 42, 10, 12, 22, 46, 4, 42] + for n, val in enumerate(A002322, 1): + assert reduced_totient(n) == val + + +def test_primepi(): + # error + z = Symbol('z', real=False) + raises(TypeError, lambda: primepi(z)) + raises(TypeError, lambda: primepi(I)) + + # property + n = Symbol('n', integer=True, positive=True) + assert primepi(n).is_integer is True + assert primepi(n).is_nonnegative is True + + # infinity + assert primepi(oo) == oo + assert primepi(-oo) == 0 + + # symbol + x = Symbol('x') + assert isinstance(primepi(x), primepi) + + # Integer + assert primepi(0) == 0 + A000720 = [0, 1, 2, 2, 3, 3, 4, 4, 4, 4, 5, 5, 6, 6, 6, 6, 7, 7, 8, + 8, 8, 8, 9, 9, 9, 9, 9, 9, 10, 10, 11, 11, 11, 11, 11, 11, + 12, 12, 12, 12, 13, 13, 14, 14, 14, 14, 15, 15, 15, 15] + for n, val in enumerate(A000720, 1): + assert primepi(n) == primepi(n + 0.5) == val + + +def test__nT(): + assert [_nT(i, j) for i in range(5) for j in range(i + 2)] == [ + 1, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 1, 2, 1, 1, 0] + check = [_nT(10, i) for i in range(11)] + assert check == [0, 1, 5, 8, 9, 7, 5, 3, 2, 1, 1] + assert all(type(i) is int for i in check) + assert _nT(10, 5) == 7 + assert _nT(100, 98) == 2 + assert _nT(100, 100) == 1 + assert _nT(10, 3) == 8 + + +def test_nC_nP_nT(): + from sympy.utilities.iterables import ( + multiset_permutations, multiset_combinations, multiset_partitions, + partitions, subsets, permutations) + from sympy.functions.combinatorial.numbers import ( + nP, nC, nT, stirling, _stirling1, _stirling2, _multiset_histogram, _AOP_product) + + from sympy.combinatorics.permutations import Permutation + from sympy.core.random import choice + + c = string.ascii_lowercase + for i in range(100): + s = ''.join(choice(c) for i in range(7)) + u = len(s) == len(set(s)) + try: + tot = 0 + for i in range(8): + check = nP(s, i) + tot += check + assert len(list(multiset_permutations(s, i))) == check + if u: + assert nP(len(s), i) == check + assert nP(s) == tot + except AssertionError: + print(s, i, 'failed perm test') + raise ValueError() + + for i in range(100): + s = ''.join(choice(c) for i in range(7)) + u = len(s) == len(set(s)) + try: + tot = 0 + for i in range(8): + check = nC(s, i) + tot += check + assert len(list(multiset_combinations(s, i))) == check + if u: + assert nC(len(s), i) == check + assert nC(s) == tot + if u: + assert nC(len(s)) == tot + except AssertionError: + print(s, i, 'failed combo test') + raise ValueError() + + for i in range(1, 10): + tot = 0 + for j in range(1, i + 2): + check = nT(i, j) + assert check.is_Integer + tot += check + assert sum(1 for p in partitions(i, j, size=True) if p[0] == j) == check + assert nT(i) == tot + + for i in range(1, 10): + tot = 0 + for j in range(1, i + 2): + check = nT(range(i), j) + tot += check + assert len(list(multiset_partitions(list(range(i)), j))) == check + assert nT(range(i)) == tot + + for i in range(100): + s = ''.join(choice(c) for i in range(7)) + u = len(s) == len(set(s)) + try: + tot = 0 + for i in range(1, 8): + check = nT(s, i) + tot += check + assert len(list(multiset_partitions(s, i))) == check + if u: + assert nT(range(len(s)), i) == check + if u: + assert nT(range(len(s))) == tot + assert nT(s) == tot + except AssertionError: + print(s, i, 'failed partition test') + raise ValueError() + + # tests for Stirling numbers of the first kind that are not tested in the + # above + assert [stirling(9, i, kind=1) for i in range(11)] == [ + 0, 40320, 109584, 118124, 67284, 22449, 4536, 546, 36, 1, 0] + perms = list(permutations(range(4))) + assert [sum(1 for p in perms if Permutation(p).cycles == i) + for i in range(5)] == [0, 6, 11, 6, 1] == [ + stirling(4, i, kind=1) for i in range(5)] + # http://oeis.org/A008275 + assert [stirling(n, k, signed=1) + for n in range(10) for k in range(1, n + 1)] == [ + 1, -1, + 1, 2, -3, + 1, -6, 11, -6, + 1, 24, -50, 35, -10, + 1, -120, 274, -225, 85, -15, + 1, 720, -1764, 1624, -735, 175, -21, + 1, -5040, 13068, -13132, 6769, -1960, 322, -28, + 1, 40320, -109584, 118124, -67284, 22449, -4536, 546, -36, 1] + # https://en.wikipedia.org/wiki/Stirling_numbers_of_the_first_kind + assert [stirling(n, k, kind=1) + for n in range(10) for k in range(n+1)] == [ + 1, + 0, 1, + 0, 1, 1, + 0, 2, 3, 1, + 0, 6, 11, 6, 1, + 0, 24, 50, 35, 10, 1, + 0, 120, 274, 225, 85, 15, 1, + 0, 720, 1764, 1624, 735, 175, 21, 1, + 0, 5040, 13068, 13132, 6769, 1960, 322, 28, 1, + 0, 40320, 109584, 118124, 67284, 22449, 4536, 546, 36, 1] + # https://en.wikipedia.org/wiki/Stirling_numbers_of_the_second_kind + assert [stirling(n, k, kind=2) + for n in range(10) for k in range(n+1)] == [ + 1, + 0, 1, + 0, 1, 1, + 0, 1, 3, 1, + 0, 1, 7, 6, 1, + 0, 1, 15, 25, 10, 1, + 0, 1, 31, 90, 65, 15, 1, + 0, 1, 63, 301, 350, 140, 21, 1, + 0, 1, 127, 966, 1701, 1050, 266, 28, 1, + 0, 1, 255, 3025, 7770, 6951, 2646, 462, 36, 1] + assert stirling(3, 4, kind=1) == stirling(3, 4, kind=1) == 0 + raises(ValueError, lambda: stirling(-2, 2)) + + # Assertion that the return type is SymPy Integer. + assert isinstance(_stirling1(6, 3), Integer) + assert isinstance(_stirling2(6, 3), Integer) + + def delta(p): + if len(p) == 1: + return oo + return min(abs(i[0] - i[1]) for i in subsets(p, 2)) + parts = multiset_partitions(range(5), 3) + d = 2 + assert (sum(1 for p in parts if all(delta(i) >= d for i in p)) == + stirling(5, 3, d=d) == 7) + + # other coverage tests + assert nC('abb', 2) == nC('aab', 2) == 2 + assert nP(3, 3, replacement=True) == nP('aabc', 3, replacement=True) == 27 + assert nP(3, 4) == 0 + assert nP('aabc', 5) == 0 + assert nC(4, 2, replacement=True) == nC('abcdd', 2, replacement=True) == \ + len(list(multiset_combinations('aabbccdd', 2))) == 10 + assert nC('abcdd') == sum(nC('abcdd', i) for i in range(6)) == 24 + assert nC(list('abcdd'), 4) == 4 + assert nT('aaaa') == nT(4) == len(list(partitions(4))) == 5 + assert nT('aaab') == len(list(multiset_partitions('aaab'))) == 7 + assert nC('aabb'*3, 3) == 4 # aaa, bbb, abb, baa + assert dict(_AOP_product((4,1,1,1))) == { + 0: 1, 1: 4, 2: 7, 3: 8, 4: 8, 5: 7, 6: 4, 7: 1} + # the following was the first t that showed a problem in a previous form of + # the function, so it's not as random as it may appear + t = (3, 9, 4, 6, 6, 5, 5, 2, 10, 4) + assert sum(_AOP_product(t)[i] for i in range(55)) == 58212000 + raises(ValueError, lambda: _multiset_histogram({1:'a'})) + + +def test_PR_14617(): + from sympy.functions.combinatorial.numbers import nT + for n in (0, []): + for k in (-1, 0, 1): + if k == 0: + assert nT(n, k) == 1 + else: + assert nT(n, k) == 0 + + +def test_issue_8496(): + n = Symbol("n") + k = Symbol("k") + + raises(TypeError, lambda: catalan(n, k)) + + +def test_issue_8601(): + n = Symbol('n', integer=True, negative=True) + + assert catalan(n - 1) is S.Zero + assert catalan(Rational(-1, 2)) is S.ComplexInfinity + assert catalan(-S.One) == Rational(-1, 2) + c1 = catalan(-5.6).evalf() + assert str(c1) == '6.93334070531408e-5' + c2 = catalan(-35.4).evalf() + assert str(c2) == '-4.14189164517449e-24' + + +def test_motzkin(): + assert motzkin.is_motzkin(4) == True + assert motzkin.is_motzkin(9) == True + assert motzkin.is_motzkin(10) == False + assert motzkin.find_motzkin_numbers_in_range(10,200) == [21, 51, 127] + assert motzkin.find_motzkin_numbers_in_range(10,400) == [21, 51, 127, 323] + assert motzkin.find_motzkin_numbers_in_range(10,1600) == [21, 51, 127, 323, 835] + assert motzkin.find_first_n_motzkins(5) == [1, 1, 2, 4, 9] + assert motzkin.find_first_n_motzkins(7) == [1, 1, 2, 4, 9, 21, 51] + assert motzkin.find_first_n_motzkins(10) == [1, 1, 2, 4, 9, 21, 51, 127, 323, 835] + raises(ValueError, lambda: motzkin.eval(77.58)) + raises(ValueError, lambda: motzkin.eval(-8)) + raises(ValueError, lambda: motzkin.find_motzkin_numbers_in_range(-2,7)) + raises(ValueError, lambda: motzkin.find_motzkin_numbers_in_range(13,7)) + raises(ValueError, lambda: motzkin.find_first_n_motzkins(112.8)) + + +def test_nD_derangements(): + from sympy.utilities.iterables import (partitions, multiset, + multiset_derangements, multiset_permutations) + from sympy.functions.combinatorial.numbers import nD + + got = [] + for i in partitions(8, k=4): + s = [] + it = 0 + for k, v in i.items(): + for i in range(v): + s.extend([it]*k) + it += 1 + ms = multiset(s) + c1 = sum(1 for i in multiset_permutations(s) if + all(i != j for i, j in zip(i, s))) + assert c1 == nD(ms) == nD(ms, 0) == nD(ms, 1) + v = [tuple(i) for i in multiset_derangements(s)] + c2 = len(v) + assert c2 == len(set(v)) + assert c1 == c2 + got.append(c1) + assert got == [1, 4, 6, 12, 24, 24, 61, 126, 315, 780, 297, 772, + 2033, 5430, 14833] + + assert nD('1112233456', brute=True) == nD('1112233456') == 16356 + assert nD('') == nD([]) == nD({}) == 0 + assert nD({1: 0}) == 0 + raises(ValueError, lambda: nD({1: -1})) + assert nD('112') == 0 + assert nD(i='112') == 0 + assert [nD(n=i) for i in range(6)] == [0, 0, 1, 2, 9, 44] + assert nD((i for i in range(4))) == nD('0123') == 9 + assert nD(m=(i for i in range(4))) == 3 + assert nD(m={0: 1, 1: 1, 2: 1, 3: 1}) == 3 + assert nD(m=[0, 1, 2, 3]) == 3 + raises(TypeError, lambda: nD(m=0)) + raises(TypeError, lambda: nD(-1)) + assert nD({-1: 1, -2: 1}) == 1 + assert nD(m={0: 3}) == 0 + raises(ValueError, lambda: nD(i='123', n=3)) + raises(ValueError, lambda: nD(i='123', m=(1,2))) + raises(ValueError, lambda: nD(n=0, m=(1,2))) + raises(ValueError, lambda: nD({1: -1})) + raises(ValueError, lambda: nD(m={-1: 1, 2: 1})) + raises(ValueError, lambda: nD(m={1: -1, 2: 1})) + raises(ValueError, lambda: nD(m=[-1, 2])) + raises(TypeError, lambda: nD({1: x})) + raises(TypeError, lambda: nD(m={1: x})) + raises(TypeError, lambda: nD(m={x: 1})) + + +def test_deprecated_ntheory_symbolic_functions(): + from sympy.testing.pytest import warns_deprecated_sympy + + with warns_deprecated_sympy(): + assert not carmichael.is_carmichael(3) + with warns_deprecated_sympy(): + assert carmichael.find_carmichael_numbers_in_range(10, 20) == [] + with warns_deprecated_sympy(): + assert carmichael.find_first_n_carmichaels(1) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/__init__.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..78034e72ef2ed722c3ae685a87cf4df618a982b0 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/__init__.py @@ -0,0 +1 @@ +# Stub __init__.py for sympy.functions.elementary diff --git 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+version https://git-lfs.github.com/spec/v1 +oid sha256:99e9bf36c4c0d324904f8020567210abbf080b1987eb758d9d8a6528bbb427bb +size 170944 diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/_trigonometric_special.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/_trigonometric_special.py new file mode 100644 index 0000000000000000000000000000000000000000..fdf8c9d06241b46e791afe76836ea33e6d4fb1c8 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/_trigonometric_special.py @@ -0,0 +1,261 @@ +r"""A module for special angle formulas for trigonometric functions + +TODO +==== + +This module should be developed in the future to contain direct square root +representation of + +.. math + F(\frac{n}{m} \pi) + +for every + +- $m \in \{ 3, 5, 17, 257, 65537 \}$ +- $n \in \mathbb{N}$, $0 \le n < m$ +- $F \in \{\sin, \cos, \tan, \csc, \sec, \cot\}$ + +Without multi-step rewrites +(e.g. $\tan \to \cos/\sin \to \cos/\sqrt \to \ sqrt$) +or using chebyshev identities +(e.g. $\cos \to \cos + \cos^2 + \cdots \to \sqrt{} + \sqrt{}^2 + \cdots $), +which are trivial to implement in sympy, +and had used to give overly complicated expressions. + +The reference can be found below, if anyone may need help implementing them. + +References +========== + +.. [*] Gottlieb, Christian. (1999). The Simple and straightforward construction + of the regular 257-gon. The Mathematical Intelligencer. 21. 31-37. + 10.1007/BF03024829. +.. [*] https://resources.wolframcloud.com/FunctionRepository/resources/Cos2PiOverFermatPrime +""" +from __future__ import annotations +from typing import Callable +from functools import reduce +from sympy.core.expr import Expr +from sympy.core.singleton import S +from sympy.core.intfunc import igcdex +from sympy.core.numbers import Integer +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.core.cache import cacheit + + +def migcdex(*x: int) -> tuple[tuple[int, ...], int]: + r"""Compute extended gcd for multiple integers. + + Explanation + =========== + + Given the integers $x_1, \cdots, x_n$ and + an extended gcd for multiple arguments are defined as a solution + $(y_1, \cdots, y_n), g$ for the diophantine equation + $x_1 y_1 + \cdots + x_n y_n = g$ such that + $g = \gcd(x_1, \cdots, x_n)$. + + Examples + ======== + + >>> from sympy.functions.elementary._trigonometric_special import migcdex + >>> migcdex() + ((), 0) + >>> migcdex(4) + ((1,), 4) + >>> migcdex(4, 6) + ((-1, 1), 2) + >>> migcdex(6, 10, 15) + ((1, 1, -1), 1) + """ + if not x: + return (), 0 + + if len(x) == 1: + return (1,), x[0] + + if len(x) == 2: + u, v, h = igcdex(x[0], x[1]) + return (u, v), h + + y, g = migcdex(*x[1:]) + u, v, h = igcdex(x[0], g) + return (u, *(v * i for i in y)), h + + +def ipartfrac(*denoms: int) -> tuple[int, ...]: + r"""Compute the partial fraction decomposition. + + Explanation + =========== + + Given a rational number $\frac{1}{q_1 \cdots q_n}$ where all + $q_1, \cdots, q_n$ are pairwise coprime, + + A partial fraction decomposition is defined as + + .. math:: + \frac{1}{q_1 \cdots q_n} = \frac{p_1}{q_1} + \cdots + \frac{p_n}{q_n} + + And it can be derived from solving the following diophantine equation for + the $p_1, \cdots, p_n$ + + .. math:: + 1 = p_1 \prod_{i \ne 1}q_i + \cdots + p_n \prod_{i \ne n}q_i + + Where $q_1, \cdots, q_n$ being pairwise coprime implies + $\gcd(\prod_{i \ne 1}q_i, \cdots, \prod_{i \ne n}q_i) = 1$, + which guarantees the existence of the solution. + + It is sufficient to compute partial fraction decomposition only + for numerator $1$ because partial fraction decomposition for any + $\frac{n}{q_1 \cdots q_n}$ can be easily computed by multiplying + the result by $n$ afterwards. + + Parameters + ========== + + denoms : int + The pairwise coprime integer denominators $q_i$ which defines the + rational number $\frac{1}{q_1 \cdots q_n}$ + + Returns + ======= + + tuple[int, ...] + The list of numerators which semantically corresponds to $p_i$ of the + partial fraction decomposition + $\frac{1}{q_1 \cdots q_n} = \frac{p_1}{q_1} + \cdots + \frac{p_n}{q_n}$ + + Examples + ======== + + >>> from sympy import Rational, Mul + >>> from sympy.functions.elementary._trigonometric_special import ipartfrac + + >>> denoms = 2, 3, 5 + >>> numers = ipartfrac(2, 3, 5) + >>> numers + (1, 7, -14) + + >>> Rational(1, Mul(*denoms)) + 1/30 + >>> out = 0 + >>> for n, d in zip(numers, denoms): + ... out += Rational(n, d) + >>> out + 1/30 + """ + if not denoms: + return () + + def mul(x: int, y: int) -> int: + return x * y + + denom = reduce(mul, denoms) + a = [denom // x for x in denoms] + h, _ = migcdex(*a) + return h + + +def fermat_coords(n: int) -> list[int] | None: + """If n can be factored in terms of Fermat primes with + multiplicity of each being 1, return those primes, else + None + """ + primes = [] + for p in [3, 5, 17, 257, 65537]: + quotient, remainder = divmod(n, p) + if remainder == 0: + n = quotient + primes.append(p) + if n == 1: + return primes + return None + + +@cacheit +def cos_3() -> Expr: + r"""Computes $\cos \frac{\pi}{3}$ in square roots""" + return S.Half + + +@cacheit +def cos_5() -> Expr: + r"""Computes $\cos \frac{\pi}{5}$ in square roots""" + return (sqrt(5) + 1) / 4 + + +@cacheit +def cos_17() -> Expr: + r"""Computes $\cos \frac{\pi}{17}$ in square roots""" + return sqrt( + (15 + sqrt(17)) / 32 + sqrt(2) * (sqrt(17 - sqrt(17)) + + sqrt(sqrt(2) * (-8 * sqrt(17 + sqrt(17)) - (1 - sqrt(17)) + * sqrt(17 - sqrt(17))) + 6 * sqrt(17) + 34)) / 32) + + +@cacheit +def cos_257() -> Expr: + r"""Computes $\cos \frac{\pi}{257}$ in square roots + + References + ========== + + .. [*] https://math.stackexchange.com/questions/516142/how-does-cos2-pi-257-look-like-in-real-radicals + .. [*] https://r-knott.surrey.ac.uk/Fibonacci/simpleTrig.html + """ + def f1(a: Expr, b: Expr) -> tuple[Expr, Expr]: + return (a + sqrt(a**2 + b)) / 2, (a - sqrt(a**2 + b)) / 2 + + def f2(a: Expr, b: Expr) -> Expr: + return (a - sqrt(a**2 + b))/2 + + t1, t2 = f1(S.NegativeOne, Integer(256)) + z1, z3 = f1(t1, Integer(64)) + z2, z4 = f1(t2, Integer(64)) + y1, y5 = f1(z1, 4*(5 + t1 + 2*z1)) + y6, y2 = f1(z2, 4*(5 + t2 + 2*z2)) + y3, y7 = f1(z3, 4*(5 + t1 + 2*z3)) + y8, y4 = f1(z4, 4*(5 + t2 + 2*z4)) + x1, x9 = f1(y1, -4*(t1 + y1 + y3 + 2*y6)) + x2, x10 = f1(y2, -4*(t2 + y2 + y4 + 2*y7)) + x3, x11 = f1(y3, -4*(t1 + y3 + y5 + 2*y8)) + x4, x12 = f1(y4, -4*(t2 + y4 + y6 + 2*y1)) + x5, x13 = f1(y5, -4*(t1 + y5 + y7 + 2*y2)) + x6, x14 = f1(y6, -4*(t2 + y6 + y8 + 2*y3)) + x15, x7 = f1(y7, -4*(t1 + y7 + y1 + 2*y4)) + x8, x16 = f1(y8, -4*(t2 + y8 + y2 + 2*y5)) + v1 = f2(x1, -4*(x1 + x2 + x3 + x6)) + v2 = f2(x2, -4*(x2 + x3 + x4 + x7)) + v3 = f2(x8, -4*(x8 + x9 + x10 + x13)) + v4 = f2(x9, -4*(x9 + x10 + x11 + x14)) + v5 = f2(x10, -4*(x10 + x11 + x12 + x15)) + v6 = f2(x16, -4*(x16 + x1 + x2 + x5)) + u1 = -f2(-v1, -4*(v2 + v3)) + u2 = -f2(-v4, -4*(v5 + v6)) + w1 = -2*f2(-u1, -4*u2) + return sqrt(sqrt(2)*sqrt(w1 + 4)/8 + S.Half) + + +def cos_table() -> dict[int, Callable[[], Expr]]: + r"""Lazily evaluated table for $\cos \frac{\pi}{n}$ in square roots for + $n \in \{3, 5, 17, 257, 65537\}$. + + Notes + ===== + + 65537 is the only other known Fermat prime and it is nearly impossible to + build in the current SymPy due to performance issues. + + References + ========== + + https://r-knott.surrey.ac.uk/Fibonacci/simpleTrig.html + """ + return { + 3: cos_3, + 5: cos_5, + 17: cos_17, + 257: cos_257 + } diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/benchmarks/__init__.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/benchmarks/__init__.py new file mode 100644 index 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/dev/null and b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/benchmarks/__pycache__/bench_exp.cpython-312.pyc differ diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/benchmarks/bench_exp.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/benchmarks/bench_exp.py new file mode 100644 index 0000000000000000000000000000000000000000..fa18d29f87bcd249baec1d278a030fa7a133c3ba --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/benchmarks/bench_exp.py @@ -0,0 +1,11 @@ +from sympy.core.symbol import symbols +from sympy.functions.elementary.exponential import exp + +x, y = symbols('x,y') + +e = exp(2*x) +q = exp(3*x) + + +def timeit_exp_subs(): + e.subs(q, y) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/complexes.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/complexes.py new file mode 100644 index 0000000000000000000000000000000000000000..dd837e4e242057050370f38c4b4e9c26aa5d06c9 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/complexes.py @@ -0,0 +1,1492 @@ +from __future__ import annotations + +from sympy.core import S, Add, Mul, sympify, Symbol, Dummy, Basic +from sympy.core.expr import Expr +from sympy.core.exprtools import factor_terms +from sympy.core.function import (DefinedFunction, Derivative, ArgumentIndexError, + AppliedUndef, expand_mul, PoleError) +from sympy.core.logic import fuzzy_not, fuzzy_or +from sympy.core.numbers import pi, I, oo +from sympy.core.power import Pow +from sympy.core.relational import Eq +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.piecewise import Piecewise + +############################################################################### +######################### REAL and IMAGINARY PARTS ############################ +############################################################################### + + +class re(DefinedFunction): + """ + Returns real part of expression. This function performs only + elementary analysis and so it will fail to decompose properly + more complicated expressions. If completely simplified result + is needed then use ``Basic.as_real_imag()`` or perform complex + expansion on instance of this function. + + Examples + ======== + + >>> from sympy import re, im, I, E, symbols + >>> x, y = symbols('x y', real=True) + >>> re(2*E) + 2*E + >>> re(2*I + 17) + 17 + >>> re(2*I) + 0 + >>> re(im(x) + x*I + 2) + 2 + >>> re(5 + I + 2) + 7 + + Parameters + ========== + + arg : Expr + Real or complex expression. + + Returns + ======= + + expr : Expr + Real part of expression. + + See Also + ======== + + im + """ + + args: tuple[Expr] + + is_extended_real = True + unbranched = True # implicitly works on the projection to C + _singularities = True # non-holomorphic + + @classmethod + def eval(cls, arg): + if arg is S.NaN: + return S.NaN + elif arg is S.ComplexInfinity: + return S.NaN + elif arg.is_extended_real: + return arg + elif arg.is_imaginary or (I*arg).is_extended_real: + return S.Zero + elif arg.is_Matrix: + return arg.as_real_imag()[0] + elif arg.is_Function and isinstance(arg, conjugate): + return re(arg.args[0]) + else: + + included, reverted, excluded = [], [], [] + args = Add.make_args(arg) + for term in args: + coeff = term.as_coefficient(I) + + if coeff is not None: + if not coeff.is_extended_real: + reverted.append(coeff) + elif not term.has(I) and term.is_extended_real: + excluded.append(term) + else: + # Try to do some advanced expansion. If + # impossible, don't try to do re(arg) again + # (because this is what we are trying to do now). + real_imag = term.as_real_imag(ignore=arg) + if real_imag: + excluded.append(real_imag[0]) + else: + included.append(term) + + if len(args) != len(included): + a, b, c = (Add(*xs) for xs in [included, reverted, excluded]) + + return cls(a) - im(b) + c + + def as_real_imag(self, deep=True, **hints): + """ + Returns the real number with a zero imaginary part. + + """ + return (self, S.Zero) + + def _eval_derivative(self, x): + if x.is_extended_real or self.args[0].is_extended_real: + return re(Derivative(self.args[0], x, evaluate=True)) + if x.is_imaginary or self.args[0].is_imaginary: + return -I \ + * im(Derivative(self.args[0], x, evaluate=True)) + + def _eval_rewrite_as_im(self, arg, **kwargs): + return self.args[0] - I*im(self.args[0]) + + def _eval_is_algebraic(self): + return self.args[0].is_algebraic + + def _eval_is_zero(self): + # is_imaginary implies nonzero + return fuzzy_or([self.args[0].is_imaginary, self.args[0].is_zero]) + + def _eval_is_finite(self): + if self.args[0].is_finite: + return True + + def _eval_is_complex(self): + if self.args[0].is_finite: + return True + + +class im(DefinedFunction): + """ + Returns imaginary part of expression. This function performs only + elementary analysis and so it will fail to decompose properly more + complicated expressions. If completely simplified result is needed then + use ``Basic.as_real_imag()`` or perform complex expansion on instance of + this function. + + Examples + ======== + + >>> from sympy import re, im, E, I + >>> from sympy.abc import x, y + >>> im(2*E) + 0 + >>> im(2*I + 17) + 2 + >>> im(x*I) + re(x) + >>> im(re(x) + y) + im(y) + >>> im(2 + 3*I) + 3 + + Parameters + ========== + + arg : Expr + Real or complex expression. + + Returns + ======= + + expr : Expr + Imaginary part of expression. + + See Also + ======== + + re + """ + + args: tuple[Expr] + + is_extended_real = True + unbranched = True # implicitly works on the projection to C + _singularities = True # non-holomorphic + + @classmethod + def eval(cls, arg): + if arg is S.NaN: + return S.NaN + elif arg is S.ComplexInfinity: + return S.NaN + elif arg.is_extended_real: + return S.Zero + elif arg.is_imaginary or (I*arg).is_extended_real: + return -I * arg + elif arg.is_Matrix: + return arg.as_real_imag()[1] + elif arg.is_Function and isinstance(arg, conjugate): + return -im(arg.args[0]) + else: + included, reverted, excluded = [], [], [] + args = Add.make_args(arg) + for term in args: + coeff = term.as_coefficient(I) + + if coeff is not None: + if not coeff.is_extended_real: + reverted.append(coeff) + else: + excluded.append(coeff) + elif term.has(I) or not term.is_extended_real: + # Try to do some advanced expansion. If + # impossible, don't try to do im(arg) again + # (because this is what we are trying to do now). + real_imag = term.as_real_imag(ignore=arg) + if real_imag: + excluded.append(real_imag[1]) + else: + included.append(term) + + if len(args) != len(included): + a, b, c = (Add(*xs) for xs in [included, reverted, excluded]) + + return cls(a) + re(b) + c + + def as_real_imag(self, deep=True, **hints): + """ + Return the imaginary part with a zero real part. + + """ + return (self, S.Zero) + + def _eval_derivative(self, x): + if x.is_extended_real or self.args[0].is_extended_real: + return im(Derivative(self.args[0], x, evaluate=True)) + if x.is_imaginary or self.args[0].is_imaginary: + return -I \ + * re(Derivative(self.args[0], x, evaluate=True)) + + def _eval_rewrite_as_re(self, arg, **kwargs): + return -I*(self.args[0] - re(self.args[0])) + + def _eval_is_algebraic(self): + return self.args[0].is_algebraic + + def _eval_is_zero(self): + return self.args[0].is_extended_real + + def _eval_is_finite(self): + if self.args[0].is_finite: + return True + + def _eval_is_complex(self): + if self.args[0].is_finite: + return True + +############################################################################### +############### SIGN, ABSOLUTE VALUE, ARGUMENT and CONJUGATION ################ +############################################################################### + +class sign(DefinedFunction): + """ + Returns the complex sign of an expression: + + Explanation + =========== + + If the expression is real the sign will be: + + * $1$ if expression is positive + * $0$ if expression is equal to zero + * $-1$ if expression is negative + + If the expression is imaginary the sign will be: + + * $I$ if im(expression) is positive + * $-I$ if im(expression) is negative + + Otherwise an unevaluated expression will be returned. When evaluated, the + result (in general) will be ``cos(arg(expr)) + I*sin(arg(expr))``. + + Examples + ======== + + >>> from sympy import sign, I + + >>> sign(-1) + -1 + >>> sign(0) + 0 + >>> sign(-3*I) + -I + >>> sign(1 + I) + sign(1 + I) + >>> _.evalf() + 0.707106781186548 + 0.707106781186548*I + + Parameters + ========== + + arg : Expr + Real or imaginary expression. + + Returns + ======= + + expr : Expr + Complex sign of expression. + + See Also + ======== + + Abs, conjugate + """ + + is_complex = True + _singularities = True + + def doit(self, **hints): + s = super().doit() + if s == self and self.args[0].is_zero is False: + return self.args[0] / Abs(self.args[0]) + return s + + @classmethod + def eval(cls, arg): + # handle what we can + if arg.is_Mul: + c, args = arg.as_coeff_mul() + unk = [] + s = sign(c) + for a in args: + if a.is_extended_negative: + s = -s + elif a.is_extended_positive: + pass + else: + if a.is_imaginary: + ai = im(a) + if ai.is_comparable: # i.e. a = I*real + s *= I + if ai.is_extended_negative: + # can't use sign(ai) here since ai might not be + # a Number + s = -s + else: + unk.append(a) + else: + unk.append(a) + if c is S.One and len(unk) == len(args): + return None + return s * cls(arg._new_rawargs(*unk)) + if arg is S.NaN: + return S.NaN + if arg.is_zero: # it may be an Expr that is zero + return S.Zero + if arg.is_extended_positive: + return S.One + if arg.is_extended_negative: + return S.NegativeOne + if arg.is_Function: + if isinstance(arg, sign): + return arg + if arg.is_imaginary: + if arg.is_Pow and arg.exp is S.Half: + # we catch this because non-trivial sqrt args are not expanded + # e.g. sqrt(1-sqrt(2)) --x--> to I*sqrt(sqrt(2) - 1) + return I + arg2 = -I * arg + if arg2.is_extended_positive: + return I + if arg2.is_extended_negative: + return -I + + def _eval_Abs(self): + if fuzzy_not(self.args[0].is_zero): + return S.One + + def _eval_conjugate(self): + return sign(conjugate(self.args[0])) + + def _eval_derivative(self, x): + if self.args[0].is_extended_real: + from sympy.functions.special.delta_functions import DiracDelta + return 2 * Derivative(self.args[0], x, evaluate=True) \ + * DiracDelta(self.args[0]) + elif self.args[0].is_imaginary: + from sympy.functions.special.delta_functions import DiracDelta + return 2 * Derivative(self.args[0], x, evaluate=True) \ + * DiracDelta(-I * self.args[0]) + + def _eval_is_nonnegative(self): + if self.args[0].is_nonnegative: + return True + + def _eval_is_nonpositive(self): + if self.args[0].is_nonpositive: + return True + + def _eval_is_imaginary(self): + return self.args[0].is_imaginary + + def _eval_is_integer(self): + return self.args[0].is_extended_real + + def _eval_is_zero(self): + return self.args[0].is_zero + + def _eval_power(self, other): + if ( + fuzzy_not(self.args[0].is_zero) and + other.is_integer and + other.is_even + ): + return S.One + + def _eval_nseries(self, x, n, logx, cdir=0): + arg0 = self.args[0] + x0 = arg0.subs(x, 0) + if x0 != 0: + return self.func(x0) + if cdir != 0: + cdir = arg0.dir(x, cdir) + return -S.One if re(cdir) < 0 else S.One + + def _eval_rewrite_as_Piecewise(self, arg, **kwargs): + if arg.is_extended_real: + return Piecewise((1, arg > 0), (-1, arg < 0), (0, True)) + + def _eval_rewrite_as_Heaviside(self, arg, **kwargs): + from sympy.functions.special.delta_functions import Heaviside + if arg.is_extended_real: + return Heaviside(arg) * 2 - 1 + + def _eval_rewrite_as_Abs(self, arg, **kwargs): + return Piecewise((0, Eq(arg, 0)), (arg / Abs(arg), True)) + + def _eval_simplify(self, **kwargs): + return self.func(factor_terms(self.args[0])) # XXX include doit? + + +class Abs(DefinedFunction): + """ + Return the absolute value of the argument. + + Explanation + =========== + + This is an extension of the built-in function ``abs()`` to accept symbolic + values. If you pass a SymPy expression to the built-in ``abs()``, it will + pass it automatically to ``Abs()``. + + Examples + ======== + + >>> from sympy import Abs, Symbol, S, I + >>> Abs(-1) + 1 + >>> x = Symbol('x', real=True) + >>> Abs(-x) + Abs(x) + >>> Abs(x**2) + x**2 + >>> abs(-x) # The Python built-in + Abs(x) + >>> Abs(3*x + 2*I) + sqrt(9*x**2 + 4) + >>> Abs(8*I) + 8 + + Note that the Python built-in will return either an Expr or int depending on + the argument:: + + >>> type(abs(-1)) + <... 'int'> + >>> type(abs(S.NegativeOne)) + + + Abs will always return a SymPy object. + + Parameters + ========== + + arg : Expr + Real or complex expression. + + Returns + ======= + + expr : Expr + Absolute value returned can be an expression or integer depending on + input arg. + + See Also + ======== + + sign, conjugate + """ + + args: tuple[Expr] + + is_extended_real = True + is_extended_negative = False + is_extended_nonnegative = True + unbranched = True + _singularities = True # non-holomorphic + + def fdiff(self, argindex=1): + """ + Get the first derivative of the argument to Abs(). + + """ + if argindex == 1: + return sign(self.args[0]) + else: + raise ArgumentIndexError(self, argindex) + + @classmethod + def eval(cls, arg): + from sympy.simplify.simplify import signsimp + + if hasattr(arg, '_eval_Abs'): + obj = arg._eval_Abs() + if obj is not None: + return obj + if not isinstance(arg, Expr): + raise TypeError("Bad argument type for Abs(): %s" % type(arg)) + + # handle what we can + arg = signsimp(arg, evaluate=False) + n, d = arg.as_numer_denom() + if d.free_symbols and not n.free_symbols: + return cls(n)/cls(d) + + if arg.is_Mul: + known = [] + unk = [] + for t in arg.args: + if t.is_Pow and t.exp.is_integer and t.exp.is_negative: + bnew = cls(t.base) + if isinstance(bnew, cls): + unk.append(t) + else: + known.append(Pow(bnew, t.exp)) + else: + tnew = cls(t) + if isinstance(tnew, cls): + unk.append(t) + else: + known.append(tnew) + known = Mul(*known) + unk = cls(Mul(*unk), evaluate=False) if unk else S.One + return known*unk + if arg is S.NaN: + return S.NaN + if arg is S.ComplexInfinity: + return oo + from sympy.functions.elementary.exponential import exp, log + + if arg.is_Pow: + base, exponent = arg.as_base_exp() + if base.is_extended_real: + if exponent.is_integer: + if exponent.is_even: + return arg + if base is S.NegativeOne: + return S.One + return Abs(base)**exponent + if base.is_extended_nonnegative: + return base**re(exponent) + if base.is_extended_negative: + return (-base)**re(exponent)*exp(-pi*im(exponent)) + return + elif not base.has(Symbol): # complex base + # express base**exponent as exp(exponent*log(base)) + a, b = log(base).as_real_imag() + z = a + I*b + return exp(re(exponent*z)) + if isinstance(arg, exp): + return exp(re(arg.args[0])) + if isinstance(arg, AppliedUndef): + if arg.is_positive: + return arg + elif arg.is_negative: + return -arg + return + if arg.is_Add and arg.has(oo, S.NegativeInfinity): + if any(a.is_infinite for a in arg.as_real_imag()): + return oo + if arg.is_zero: + return S.Zero + if arg.is_extended_nonnegative: + return arg + if arg.is_extended_nonpositive: + return -arg + if arg.is_imaginary: + arg2 = -I * arg + if arg2.is_extended_nonnegative: + return arg2 + if arg.is_extended_real: + return + # reject result if all new conjugates are just wrappers around + # an expression that was already in the arg + conj = signsimp(arg.conjugate(), evaluate=False) + new_conj = conj.atoms(conjugate) - arg.atoms(conjugate) + if new_conj and all(arg.has(i.args[0]) for i in new_conj): + return + if arg != conj and arg != -conj: + ignore = arg.atoms(Abs) + abs_free_arg = arg.xreplace({i: Dummy(real=True) for i in ignore}) + unk = [a for a in abs_free_arg.free_symbols if a.is_extended_real is None] + if not unk or not all(conj.has(conjugate(u)) for u in unk): + return sqrt(expand_mul(arg*conj)) + + def _eval_is_real(self): + if self.args[0].is_finite: + return True + + def _eval_is_integer(self): + if self.args[0].is_extended_real: + return self.args[0].is_integer + + def _eval_is_extended_nonzero(self): + return fuzzy_not(self._args[0].is_zero) + + def _eval_is_zero(self): + return self._args[0].is_zero + + def _eval_is_extended_positive(self): + return fuzzy_not(self._args[0].is_zero) + + def _eval_is_rational(self): + if self.args[0].is_extended_real: + return self.args[0].is_rational + + def _eval_is_even(self): + if self.args[0].is_extended_real: + return self.args[0].is_even + + def _eval_is_odd(self): + if self.args[0].is_extended_real: + return self.args[0].is_odd + + def _eval_is_algebraic(self): + return self.args[0].is_algebraic + + def _eval_power(self, exponent): + if self.args[0].is_extended_real and exponent.is_integer: + if exponent.is_even: + return self.args[0]**exponent + elif exponent is not S.NegativeOne and exponent.is_Integer: + return self.args[0]**(exponent - 1)*self + return + + def _eval_nseries(self, x, n, logx, cdir=0): + from sympy.functions.elementary.exponential import log + direction = self.args[0].leadterm(x)[0] + if direction.has(log(x)): + direction = direction.subs(log(x), logx) + s = self.args[0]._eval_nseries(x, n=n, logx=logx) + return (sign(direction)*s).expand() + + def _eval_derivative(self, x): + if self.args[0].is_extended_real or self.args[0].is_imaginary: + return Derivative(self.args[0], x, evaluate=True) \ + * sign(conjugate(self.args[0])) + rv = (re(self.args[0]) * Derivative(re(self.args[0]), x, + evaluate=True) + im(self.args[0]) * Derivative(im(self.args[0]), + x, evaluate=True)) / Abs(self.args[0]) + return rv.rewrite(sign) + + def _eval_rewrite_as_Heaviside(self, arg, **kwargs): + # Note this only holds for real arg (since Heaviside is not defined + # for complex arguments). + from sympy.functions.special.delta_functions import Heaviside + if arg.is_extended_real: + return arg*(Heaviside(arg) - Heaviside(-arg)) + + def _eval_rewrite_as_Piecewise(self, arg, **kwargs): + if arg.is_extended_real: + return Piecewise((arg, arg >= 0), (-arg, True)) + elif arg.is_imaginary: + return Piecewise((I*arg, I*arg >= 0), (-I*arg, True)) + + def _eval_rewrite_as_sign(self, arg, **kwargs): + return arg/sign(arg) + + def _eval_rewrite_as_conjugate(self, arg, **kwargs): + return sqrt(arg*conjugate(arg)) + + +class arg(DefinedFunction): + r""" + Returns the argument (in radians) of a complex number. The argument is + evaluated in consistent convention with ``atan2`` where the branch-cut is + taken along the negative real axis and ``arg(z)`` is in the interval + $(-\pi,\pi]$. For a positive number, the argument is always 0; the + argument of a negative number is $\pi$; and the argument of 0 + is undefined and returns ``nan``. So the ``arg`` function will never nest + greater than 3 levels since at the 4th application, the result must be + nan; for a real number, nan is returned on the 3rd application. + + Examples + ======== + + >>> from sympy import arg, I, sqrt, Dummy + >>> from sympy.abc import x + >>> arg(2.0) + 0 + >>> arg(I) + pi/2 + >>> arg(sqrt(2) + I*sqrt(2)) + pi/4 + >>> arg(sqrt(3)/2 + I/2) + pi/6 + >>> arg(4 + 3*I) + atan(3/4) + >>> arg(0.8 + 0.6*I) + 0.643501108793284 + >>> arg(arg(arg(arg(x)))) + nan + >>> real = Dummy(real=True) + >>> arg(arg(arg(real))) + nan + + Parameters + ========== + + arg : Expr + Real or complex expression. + + Returns + ======= + + value : Expr + Returns arc tangent of arg measured in radians. + + """ + + is_extended_real = True + is_real = True + is_finite = True + _singularities = True # non-holomorphic + + @classmethod + def eval(cls, arg): + a = arg + for i in range(3): + if isinstance(a, cls): + a = a.args[0] + else: + if i == 2 and a.is_extended_real: + return S.NaN + break + else: + return S.NaN + from sympy.functions.elementary.exponential import exp, exp_polar + if isinstance(arg, exp_polar): + return periodic_argument(arg, oo) + elif isinstance(arg, exp): + i_ = im(arg.args[0]) + if i_.is_comparable: + i_ %= 2*S.Pi + if i_ > S.Pi: + i_ -= 2*S.Pi + return i_ + + if not arg.is_Atom: + c, arg_ = factor_terms(arg).as_coeff_Mul() + if arg_.is_Mul: + arg_ = Mul(*[a if (sign(a) not in (-1, 1)) else + sign(a) for a in arg_.args]) + arg_ = sign(c)*arg_ + else: + arg_ = arg + if any(i.is_extended_positive is None for i in arg_.atoms(AppliedUndef)): + return + from sympy.functions.elementary.trigonometric import atan2 + x, y = arg_.as_real_imag() + rv = atan2(y, x) + if rv.is_number: + return rv + if arg_ != arg: + return cls(arg_, evaluate=False) + + def _eval_derivative(self, t): + x, y = self.args[0].as_real_imag() + return (x * Derivative(y, t, evaluate=True) - y * + Derivative(x, t, evaluate=True)) / (x**2 + y**2) + + def _eval_rewrite_as_atan2(self, arg, **kwargs): + from sympy.functions.elementary.trigonometric import atan2 + x, y = self.args[0].as_real_imag() + return atan2(y, x) + + def _eval_as_leading_term(self, x, logx, cdir): + arg0 = self.args[0] + t = Dummy('t', positive=True) + if cdir == 0: + cdir = 1 + z = arg0.subs(x, cdir*t) + if z.is_positive: + return S.Zero + elif z.is_negative: + return S.Pi + else: + raise PoleError("Cannot expand %s around 0" % (self)) + + def _eval_nseries(self, x, n, logx, cdir=0): + from sympy.series.order import Order + if n <= 0: + return Order(1) + return self._eval_as_leading_term(x, logx=logx, cdir=cdir) + + +class conjugate(DefinedFunction): + """ + Returns the *complex conjugate* [1]_ of an argument. + In mathematics, the complex conjugate of a complex number + is given by changing the sign of the imaginary part. + + Thus, the conjugate of the complex number + :math:`a + ib` (where $a$ and $b$ are real numbers) is :math:`a - ib` + + Examples + ======== + + >>> from sympy import conjugate, I + >>> conjugate(2) + 2 + >>> conjugate(I) + -I + >>> conjugate(3 + 2*I) + 3 - 2*I + >>> conjugate(5 - I) + 5 + I + + Parameters + ========== + + arg : Expr + Real or complex expression. + + Returns + ======= + + arg : Expr + Complex conjugate of arg as real, imaginary or mixed expression. + + See Also + ======== + + sign, Abs + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Complex_conjugation + """ + _singularities = True # non-holomorphic + + @classmethod + def eval(cls, arg): + obj = arg._eval_conjugate() + if obj is not None: + return obj + + def inverse(self): + return conjugate + + def _eval_Abs(self): + return Abs(self.args[0], evaluate=True) + + def _eval_adjoint(self): + return transpose(self.args[0]) + + def _eval_conjugate(self): + return self.args[0] + + def _eval_derivative(self, x): + if x.is_real: + return conjugate(Derivative(self.args[0], x, evaluate=True)) + elif x.is_imaginary: + return -conjugate(Derivative(self.args[0], x, evaluate=True)) + + def _eval_transpose(self): + return adjoint(self.args[0]) + + def _eval_is_algebraic(self): + return self.args[0].is_algebraic + + +class transpose(DefinedFunction): + """ + Linear map transposition. + + Examples + ======== + + >>> from sympy import transpose, Matrix, MatrixSymbol + >>> A = MatrixSymbol('A', 25, 9) + >>> transpose(A) + A.T + >>> B = MatrixSymbol('B', 9, 22) + >>> transpose(B) + B.T + >>> transpose(A*B) + B.T*A.T + >>> M = Matrix([[4, 5], [2, 1], [90, 12]]) + >>> M + Matrix([ + [ 4, 5], + [ 2, 1], + [90, 12]]) + >>> transpose(M) + Matrix([ + [4, 2, 90], + [5, 1, 12]]) + + Parameters + ========== + + arg : Matrix + Matrix or matrix expression to take the transpose of. + + Returns + ======= + + value : Matrix + Transpose of arg. + + """ + + @classmethod + def eval(cls, arg): + obj = arg._eval_transpose() + if obj is not None: + return obj + + def _eval_adjoint(self): + return conjugate(self.args[0]) + + def _eval_conjugate(self): + return adjoint(self.args[0]) + + def _eval_transpose(self): + return self.args[0] + + +class adjoint(DefinedFunction): + """ + Conjugate transpose or Hermite conjugation. + + Examples + ======== + + >>> from sympy import adjoint, MatrixSymbol + >>> A = MatrixSymbol('A', 10, 5) + >>> adjoint(A) + Adjoint(A) + + Parameters + ========== + + arg : Matrix + Matrix or matrix expression to take the adjoint of. + + Returns + ======= + + value : Matrix + Represents the conjugate transpose or Hermite + conjugation of arg. + + """ + + @classmethod + def eval(cls, arg): + obj = arg._eval_adjoint() + if obj is not None: + return obj + obj = arg._eval_transpose() + if obj is not None: + return conjugate(obj) + + def _eval_adjoint(self): + return self.args[0] + + def _eval_conjugate(self): + return transpose(self.args[0]) + + def _eval_transpose(self): + return conjugate(self.args[0]) + + def _latex(self, printer, exp=None, *args): + arg = printer._print(self.args[0]) + tex = r'%s^{\dagger}' % arg + if exp: + tex = r'\left(%s\right)^{%s}' % (tex, exp) + return tex + + def _pretty(self, printer, *args): + from sympy.printing.pretty.stringpict import prettyForm + pform = printer._print(self.args[0], *args) + if printer._use_unicode: + pform = pform**prettyForm('\N{DAGGER}') + else: + pform = pform**prettyForm('+') + return pform + +############################################################################### +############### HANDLING OF POLAR NUMBERS ##################################### +############################################################################### + + +class polar_lift(DefinedFunction): + """ + Lift argument to the Riemann surface of the logarithm, using the + standard branch. + + Examples + ======== + + >>> from sympy import Symbol, polar_lift, I + >>> p = Symbol('p', polar=True) + >>> x = Symbol('x') + >>> polar_lift(4) + 4*exp_polar(0) + >>> polar_lift(-4) + 4*exp_polar(I*pi) + >>> polar_lift(-I) + exp_polar(-I*pi/2) + >>> polar_lift(I + 2) + polar_lift(2 + I) + + >>> polar_lift(4*x) + 4*polar_lift(x) + >>> polar_lift(4*p) + 4*p + + Parameters + ========== + + arg : Expr + Real or complex expression. + + See Also + ======== + + sympy.functions.elementary.exponential.exp_polar + periodic_argument + """ + + is_polar = True + is_comparable = False # Cannot be evalf'd. + + @classmethod + def eval(cls, arg): + from sympy.functions.elementary.complexes import arg as argument + if arg.is_number: + ar = argument(arg) + # In general we want to affirm that something is known, + # e.g. `not ar.has(argument) and not ar.has(atan)` + # but for now we will just be more restrictive and + # see that it has evaluated to one of the known values. + if ar in (0, pi/2, -pi/2, pi): + from sympy.functions.elementary.exponential import exp_polar + return exp_polar(I*ar)*abs(arg) + + if arg.is_Mul: + args = arg.args + else: + args = [arg] + included = [] + excluded = [] + positive = [] + for arg in args: + if arg.is_polar: + included += [arg] + elif arg.is_positive: + positive += [arg] + else: + excluded += [arg] + if len(excluded) < len(args): + if excluded: + return Mul(*(included + positive))*polar_lift(Mul(*excluded)) + elif included: + return Mul(*(included + positive)) + else: + from sympy.functions.elementary.exponential import exp_polar + return Mul(*positive)*exp_polar(0) + + def _eval_evalf(self, prec): + """ Careful! any evalf of polar numbers is flaky """ + return self.args[0]._eval_evalf(prec) + + def _eval_Abs(self): + return Abs(self.args[0], evaluate=True) + + +class periodic_argument(DefinedFunction): + r""" + Represent the argument on a quotient of the Riemann surface of the + logarithm. That is, given a period $P$, always return a value in + $(-P/2, P/2]$, by using $\exp(PI) = 1$. + + Examples + ======== + + >>> from sympy import exp_polar, periodic_argument + >>> from sympy import I, pi + >>> periodic_argument(exp_polar(10*I*pi), 2*pi) + 0 + >>> periodic_argument(exp_polar(5*I*pi), 4*pi) + pi + >>> from sympy import exp_polar, periodic_argument + >>> from sympy import I, pi + >>> periodic_argument(exp_polar(5*I*pi), 2*pi) + pi + >>> periodic_argument(exp_polar(5*I*pi), 3*pi) + -pi + >>> periodic_argument(exp_polar(5*I*pi), pi) + 0 + + Parameters + ========== + + ar : Expr + A polar number. + + period : Expr + The period $P$. + + See Also + ======== + + sympy.functions.elementary.exponential.exp_polar + polar_lift : Lift argument to the Riemann surface of the logarithm + principal_branch + """ + + @classmethod + def _getunbranched(cls, ar): + from sympy.functions.elementary.exponential import exp_polar, log + if ar.is_Mul: + args = ar.args + else: + args = [ar] + unbranched = 0 + for a in args: + if not a.is_polar: + unbranched += arg(a) + elif isinstance(a, exp_polar): + unbranched += a.exp.as_real_imag()[1] + elif a.is_Pow: + re, im = a.exp.as_real_imag() + unbranched += re*unbranched_argument( + a.base) + im*log(abs(a.base)) + elif isinstance(a, polar_lift): + unbranched += arg(a.args[0]) + else: + return None + return unbranched + + @classmethod + def eval(cls, ar, period): + # Our strategy is to evaluate the argument on the Riemann surface of the + # logarithm, and then reduce. + # NOTE evidently this means it is a rather bad idea to use this with + # period != 2*pi and non-polar numbers. + if not period.is_extended_positive: + return None + if period == oo and isinstance(ar, principal_branch): + return periodic_argument(*ar.args) + if isinstance(ar, polar_lift) and period >= 2*pi: + return periodic_argument(ar.args[0], period) + if ar.is_Mul: + newargs = [x for x in ar.args if not x.is_positive] + if len(newargs) != len(ar.args): + return periodic_argument(Mul(*newargs), period) + unbranched = cls._getunbranched(ar) + if unbranched is None: + return None + from sympy.functions.elementary.trigonometric import atan, atan2 + if unbranched.has(periodic_argument, atan2, atan): + return None + if period == oo: + return unbranched + if period != oo: + from sympy.functions.elementary.integers import ceiling + n = ceiling(unbranched/period - S.Half)*period + if not n.has(ceiling): + return unbranched - n + + def _eval_evalf(self, prec): + z, period = self.args + if period == oo: + unbranched = periodic_argument._getunbranched(z) + if unbranched is None: + return self + return unbranched._eval_evalf(prec) + ub = periodic_argument(z, oo)._eval_evalf(prec) + from sympy.functions.elementary.integers import ceiling + return (ub - ceiling(ub/period - S.Half)*period)._eval_evalf(prec) + + +def unbranched_argument(arg): + ''' + Returns periodic argument of arg with period as infinity. + + Examples + ======== + + >>> from sympy import exp_polar, unbranched_argument + >>> from sympy import I, pi + >>> unbranched_argument(exp_polar(15*I*pi)) + 15*pi + >>> unbranched_argument(exp_polar(7*I*pi)) + 7*pi + + See also + ======== + + periodic_argument + ''' + return periodic_argument(arg, oo) + + +class principal_branch(DefinedFunction): + """ + Represent a polar number reduced to its principal branch on a quotient + of the Riemann surface of the logarithm. + + Explanation + =========== + + This is a function of two arguments. The first argument is a polar + number `z`, and the second one a positive real number or infinity, `p`. + The result is ``z mod exp_polar(I*p)``. + + Examples + ======== + + >>> from sympy import exp_polar, principal_branch, oo, I, pi + >>> from sympy.abc import z + >>> principal_branch(z, oo) + z + >>> principal_branch(exp_polar(2*pi*I)*3, 2*pi) + 3*exp_polar(0) + >>> principal_branch(exp_polar(2*pi*I)*3*z, 2*pi) + 3*principal_branch(z, 2*pi) + + Parameters + ========== + + x : Expr + A polar number. + + period : Expr + Positive real number or infinity. + + See Also + ======== + + sympy.functions.elementary.exponential.exp_polar + polar_lift : Lift argument to the Riemann surface of the logarithm + periodic_argument + """ + + is_polar = True + is_comparable = False # cannot always be evalf'd + + @classmethod + def eval(self, x, period): + from sympy.functions.elementary.exponential import exp_polar + if isinstance(x, polar_lift): + return principal_branch(x.args[0], period) + if period == oo: + return x + ub = periodic_argument(x, oo) + barg = periodic_argument(x, period) + if ub != barg and not ub.has(periodic_argument) \ + and not barg.has(periodic_argument): + pl = polar_lift(x) + + def mr(expr): + if not isinstance(expr, Symbol): + return polar_lift(expr) + return expr + pl = pl.replace(polar_lift, mr) + # Recompute unbranched argument + ub = periodic_argument(pl, oo) + if not pl.has(polar_lift): + if ub != barg: + res = exp_polar(I*(barg - ub))*pl + else: + res = pl + if not res.is_polar and not res.has(exp_polar): + res *= exp_polar(0) + return res + + if not x.free_symbols: + c, m = x, () + else: + c, m = x.as_coeff_mul(*x.free_symbols) + others = [] + for y in m: + if y.is_positive: + c *= y + else: + others += [y] + m = tuple(others) + arg = periodic_argument(c, period) + if arg.has(periodic_argument): + return None + if arg.is_number and (unbranched_argument(c) != arg or + (arg == 0 and m != () and c != 1)): + if arg == 0: + return abs(c)*principal_branch(Mul(*m), period) + return principal_branch(exp_polar(I*arg)*Mul(*m), period)*abs(c) + if arg.is_number and ((abs(arg) < period/2) == True or arg == period/2) \ + and m == (): + return exp_polar(arg*I)*abs(c) + + def _eval_evalf(self, prec): + z, period = self.args + p = periodic_argument(z, period)._eval_evalf(prec) + if abs(p) > pi or p == -pi: + return self # Cannot evalf for this argument. + from sympy.functions.elementary.exponential import exp + return (abs(z)*exp(I*p))._eval_evalf(prec) + + +def _polarify(eq, lift, pause=False): + from sympy.integrals.integrals import Integral + if eq.is_polar: + return eq + if eq.is_number and not pause: + return polar_lift(eq) + if isinstance(eq, Symbol) and not pause and lift: + return polar_lift(eq) + elif eq.is_Atom: + return eq + elif eq.is_Add: + r = eq.func(*[_polarify(arg, lift, pause=True) for arg in eq.args]) + if lift: + return polar_lift(r) + return r + elif eq.is_Pow and eq.base == S.Exp1: + return eq.func(S.Exp1, _polarify(eq.exp, lift, pause=False)) + elif eq.is_Function: + return eq.func(*[_polarify(arg, lift, pause=False) for arg in eq.args]) + elif isinstance(eq, Integral): + # Don't lift the integration variable + func = _polarify(eq.function, lift, pause=pause) + limits = [] + for limit in eq.args[1:]: + var = _polarify(limit[0], lift=False, pause=pause) + rest = _polarify(limit[1:], lift=lift, pause=pause) + limits.append((var,) + rest) + return Integral(*((func,) + tuple(limits))) + else: + return eq.func(*[_polarify(arg, lift, pause=pause) + if isinstance(arg, Expr) else arg for arg in eq.args]) + + +def polarify(eq, subs=True, lift=False): + """ + Turn all numbers in eq into their polar equivalents (under the standard + choice of argument). + + Note that no attempt is made to guess a formal convention of adding + polar numbers, expressions like $1 + x$ will generally not be altered. + + Note also that this function does not promote ``exp(x)`` to ``exp_polar(x)``. + + If ``subs`` is ``True``, all symbols which are not already polar will be + substituted for polar dummies; in this case the function behaves much + like :func:`~.posify`. + + If ``lift`` is ``True``, both addition statements and non-polar symbols are + changed to their ``polar_lift()``ed versions. + Note that ``lift=True`` implies ``subs=False``. + + Examples + ======== + + >>> from sympy import polarify, sin, I + >>> from sympy.abc import x, y + >>> expr = (-x)**y + >>> expr.expand() + (-x)**y + >>> polarify(expr) + ((_x*exp_polar(I*pi))**_y, {_x: x, _y: y}) + >>> polarify(expr)[0].expand() + _x**_y*exp_polar(_y*I*pi) + >>> polarify(x, lift=True) + polar_lift(x) + >>> polarify(x*(1+y), lift=True) + polar_lift(x)*polar_lift(y + 1) + + Adds are treated carefully: + + >>> polarify(1 + sin((1 + I)*x)) + (sin(_x*polar_lift(1 + I)) + 1, {_x: x}) + """ + if lift: + subs = False + eq = _polarify(sympify(eq), lift) + if not subs: + return eq + reps = {s: Dummy(s.name, polar=True) for s in eq.free_symbols} + eq = eq.subs(reps) + return eq, {r: s for s, r in reps.items()} + + +def _unpolarify(eq, exponents_only, pause=False): + if not isinstance(eq, Basic) or eq.is_Atom: + return eq + + if not pause: + from sympy.functions.elementary.exponential import exp, exp_polar + if isinstance(eq, exp_polar): + return exp(_unpolarify(eq.exp, exponents_only)) + if isinstance(eq, principal_branch) and eq.args[1] == 2*pi: + return _unpolarify(eq.args[0], exponents_only) + if ( + eq.is_Add or eq.is_Mul or eq.is_Boolean or + eq.is_Relational and ( + eq.rel_op in ('==', '!=') and 0 in eq.args or + eq.rel_op not in ('==', '!=')) + ): + return eq.func(*[_unpolarify(x, exponents_only) for x in eq.args]) + if isinstance(eq, polar_lift): + return _unpolarify(eq.args[0], exponents_only) + + if eq.is_Pow: + expo = _unpolarify(eq.exp, exponents_only) + base = _unpolarify(eq.base, exponents_only, + not (expo.is_integer and not pause)) + return base**expo + + if eq.is_Function and getattr(eq.func, 'unbranched', False): + return eq.func(*[_unpolarify(x, exponents_only, exponents_only) + for x in eq.args]) + + return eq.func(*[_unpolarify(x, exponents_only, True) for x in eq.args]) + + +def unpolarify(eq, subs=None, exponents_only=False): + """ + If `p` denotes the projection from the Riemann surface of the logarithm to + the complex line, return a simplified version `eq'` of `eq` such that + `p(eq') = p(eq)`. + Also apply the substitution subs in the end. (This is a convenience, since + ``unpolarify``, in a certain sense, undoes :func:`polarify`.) + + Examples + ======== + + >>> from sympy import unpolarify, polar_lift, sin, I + >>> unpolarify(polar_lift(I + 2)) + 2 + I + >>> unpolarify(sin(polar_lift(I + 7))) + sin(7 + I) + """ + if isinstance(eq, bool): + return eq + + eq = sympify(eq) + if subs is not None: + return unpolarify(eq.subs(subs)) + changed = True + pause = False + if exponents_only: + pause = True + while changed: + changed = False + res = _unpolarify(eq, exponents_only, pause) + if res != eq: + changed = True + eq = res + if isinstance(res, bool): + return res + # Finally, replacing Exp(0) by 1 is always correct. + # So is polar_lift(0) -> 0. + from sympy.functions.elementary.exponential import exp_polar + return res.subs({exp_polar(0): 1, polar_lift(0): 0}) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/exponential.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/exponential.py new file mode 100644 index 0000000000000000000000000000000000000000..2bb0333cb34a35a96248c12a4640e848986f2feb --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/exponential.py @@ -0,0 +1,1286 @@ +from __future__ import annotations +from itertools import product + +from sympy.core.add import Add +from sympy.core.cache import cacheit +from sympy.core.expr import Expr +from sympy.core.function import (DefinedFunction, ArgumentIndexError, expand_log, + expand_mul, FunctionClass, PoleError, expand_multinomial, expand_complex) +from sympy.core.logic import fuzzy_and, fuzzy_not, fuzzy_or +from sympy.core.mul import Mul +from sympy.core.numbers import Integer, Rational, pi, I +from sympy.core.parameters import global_parameters +from sympy.core.power import Pow +from sympy.core.singleton import S +from sympy.core.symbol import Wild, Dummy +from sympy.core.sympify import sympify +from sympy.functions.combinatorial.factorials import factorial +from sympy.functions.elementary.complexes import arg, unpolarify, im, re, Abs +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.ntheory import multiplicity, perfect_power +from sympy.ntheory.factor_ import factorint + +# NOTE IMPORTANT +# The series expansion code in this file is an important part of the gruntz +# algorithm for determining limits. _eval_nseries has to return a generalized +# power series with coefficients in C(log(x), log). +# In more detail, the result of _eval_nseries(self, x, n) must be +# c_0*x**e_0 + ... (finitely many terms) +# where e_i are numbers (not necessarily integers) and c_i involve only +# numbers, the function log, and log(x). [This also means it must not contain +# log(x(1+p)), this *has* to be expanded to log(x)+log(1+p) if x.is_positive and +# p.is_positive.] + + +class ExpBase(DefinedFunction): + + unbranched = True + _singularities = (S.ComplexInfinity,) + + @property + def kind(self): + return self.exp.kind + + def inverse(self, argindex=1): + """ + Returns the inverse function of ``exp(x)``. + """ + return log + + def as_numer_denom(self): + """ + Returns this with a positive exponent as a 2-tuple (a fraction). + + Examples + ======== + + >>> from sympy import exp + >>> from sympy.abc import x + >>> exp(-x).as_numer_denom() + (1, exp(x)) + >>> exp(x).as_numer_denom() + (exp(x), 1) + """ + # this should be the same as Pow.as_numer_denom wrt + # exponent handling + if not self.is_commutative: + return self, S.One + exp = self.exp + neg_exp = exp.is_negative + if not neg_exp and not (-exp).is_negative: + neg_exp = exp.could_extract_minus_sign() + if neg_exp: + return S.One, self.func(-exp) + return self, S.One + + @property + def exp(self): + """ + Returns the exponent of the function. + """ + return self.args[0] + + def as_base_exp(self): + """ + Returns the 2-tuple (base, exponent). + """ + return self.func(1), Mul(*self.args) + + def _eval_adjoint(self): + return self.func(self.exp.adjoint()) + + def _eval_conjugate(self): + return self.func(self.exp.conjugate()) + + def _eval_transpose(self): + return self.func(self.exp.transpose()) + + def _eval_is_finite(self): + arg = self.exp + if arg.is_infinite: + if arg.is_extended_negative: + return True + if arg.is_extended_positive: + return False + if arg.is_finite: + return True + + def _eval_is_rational(self): + s = self.func(*self.args) + if s.func == self.func: + z = s.exp.is_zero + if z: + return True + elif s.exp.is_rational and fuzzy_not(z): + return False + else: + return s.is_rational + + def _eval_is_zero(self): + return self.exp is S.NegativeInfinity + + def _eval_power(self, other): + """exp(arg)**e -> exp(arg*e) if assumptions allow it. + """ + b, e = self.as_base_exp() + return Pow._eval_power(Pow(b, e, evaluate=False), other) + + def _eval_expand_power_exp(self, **hints): + from sympy.concrete.products import Product + from sympy.concrete.summations import Sum + arg = self.args[0] + if arg.is_Add and arg.is_commutative: + return Mul.fromiter(self.func(x) for x in arg.args) + elif isinstance(arg, Sum) and arg.is_commutative: + return Product(self.func(arg.function), *arg.limits) + return self.func(arg) + + +class exp_polar(ExpBase): + r""" + Represent a *polar number* (see g-function Sphinx documentation). + + Explanation + =========== + + ``exp_polar`` represents the function + `Exp: \mathbb{C} \rightarrow \mathcal{S}`, sending the complex number + `z = a + bi` to the polar number `r = exp(a), \theta = b`. It is one of + the main functions to construct polar numbers. + + Examples + ======== + + >>> from sympy import exp_polar, pi, I, exp + + The main difference is that polar numbers do not "wrap around" at `2 \pi`: + + >>> exp(2*pi*I) + 1 + >>> exp_polar(2*pi*I) + exp_polar(2*I*pi) + + apart from that they behave mostly like classical complex numbers: + + >>> exp_polar(2)*exp_polar(3) + exp_polar(5) + + See Also + ======== + + sympy.simplify.powsimp.powsimp + polar_lift + periodic_argument + principal_branch + """ + + is_polar = True + is_comparable = False # cannot be evalf'd + + def _eval_Abs(self): # Abs is never a polar number + return exp(re(self.args[0])) + + def _eval_evalf(self, prec): + """ Careful! any evalf of polar numbers is flaky """ + i = im(self.args[0]) + try: + bad = (i <= -pi or i > pi) + except TypeError: + bad = True + if bad: + return self # cannot evalf for this argument + res = exp(self.args[0])._eval_evalf(prec) + if i > 0 and im(res) < 0: + # i ~ pi, but exp(I*i) evaluated to argument slightly bigger than pi + return re(res) + return res + + def _eval_power(self, other): + return self.func(self.args[0]*other) + + def _eval_is_extended_real(self): + if self.args[0].is_extended_real: + return True + + def as_base_exp(self): + # XXX exp_polar(0) is special! + if self.args[0] == 0: + return self, S.One + return ExpBase.as_base_exp(self) + + +class ExpMeta(FunctionClass): + def __instancecheck__(cls, instance): + if exp in instance.__class__.__mro__: + return True + return isinstance(instance, Pow) and instance.base is S.Exp1 + + +class exp(ExpBase, metaclass=ExpMeta): + """ + The exponential function, :math:`e^x`. + + Examples + ======== + + >>> from sympy import exp, I, pi + >>> from sympy.abc import x + >>> exp(x) + exp(x) + >>> exp(x).diff(x) + exp(x) + >>> exp(I*pi) + -1 + + Parameters + ========== + + arg : Expr + + See Also + ======== + + log + """ + + def fdiff(self, argindex=1): + """ + Returns the first derivative of this function. + """ + if argindex == 1: + return self + else: + raise ArgumentIndexError(self, argindex) + + def _eval_refine(self, assumptions): + from sympy.assumptions import ask, Q + arg = self.args[0] + if arg.is_Mul: + Ioo = I*S.Infinity + if arg in [Ioo, -Ioo]: + return S.NaN + + coeff = arg.as_coefficient(pi*I) + if coeff: + if ask(Q.integer(2*coeff)): + if ask(Q.even(coeff)): + return S.One + elif ask(Q.odd(coeff)): + return S.NegativeOne + elif ask(Q.even(coeff + S.Half)): + return -I + elif ask(Q.odd(coeff + S.Half)): + return I + + @classmethod + def eval(cls, arg): + from sympy.calculus import AccumBounds + from sympy.matrices.matrixbase import MatrixBase + from sympy.sets.setexpr import SetExpr + from sympy.simplify.simplify import logcombine + if isinstance(arg, MatrixBase): + return arg.exp() + elif global_parameters.exp_is_pow: + return Pow(S.Exp1, arg) + elif arg.is_Number: + if arg is S.NaN: + return S.NaN + elif arg.is_zero: + return S.One + elif arg is S.One: + return S.Exp1 + elif arg is S.Infinity: + return S.Infinity + elif arg is S.NegativeInfinity: + return S.Zero + elif arg is S.ComplexInfinity: + return S.NaN + elif isinstance(arg, log): + return arg.args[0] + elif isinstance(arg, AccumBounds): + return AccumBounds(exp(arg.min), exp(arg.max)) + elif isinstance(arg, SetExpr): + return arg._eval_func(cls) + elif arg.is_Mul: + coeff = arg.as_coefficient(pi*I) + if coeff: + if (2*coeff).is_integer: + if coeff.is_even: + return S.One + elif coeff.is_odd: + return S.NegativeOne + elif (coeff + S.Half).is_even: + return -I + elif (coeff + S.Half).is_odd: + return I + elif coeff.is_Rational: + ncoeff = coeff % 2 # restrict to [0, 2pi) + if ncoeff > 1: # restrict to (-pi, pi] + ncoeff -= 2 + if ncoeff != coeff: + return cls(ncoeff*pi*I) + + # Warning: code in risch.py will be very sensitive to changes + # in this (see DifferentialExtension). + + # look for a single log factor + + coeff, terms = arg.as_coeff_Mul() + + # but it can't be multiplied by oo + if coeff in [S.NegativeInfinity, S.Infinity]: + if terms.is_number: + if coeff is S.NegativeInfinity: + terms = -terms + if re(terms).is_zero and terms is not S.Zero: + return S.NaN + if re(terms).is_positive and im(terms) is not S.Zero: + return S.ComplexInfinity + if re(terms).is_negative: + return S.Zero + return None + + coeffs, log_term = [coeff], None + for term in Mul.make_args(terms): + term_ = logcombine(term) + if isinstance(term_, log): + if log_term is None: + log_term = term_.args[0] + else: + return None + elif term.is_comparable: + coeffs.append(term) + else: + return None + + return log_term**Mul(*coeffs) if log_term else None + + elif arg.is_Add: + out = [] + add = [] + argchanged = False + for a in arg.args: + if a is S.One: + add.append(a) + continue + newa = cls(a) + if isinstance(newa, cls): + if newa.args[0] != a: + add.append(newa.args[0]) + argchanged = True + else: + add.append(a) + else: + out.append(newa) + if out or argchanged: + return Mul(*out)*cls(Add(*add), evaluate=False) + + if arg.is_zero: + return S.One + + @property + def base(self): + """ + Returns the base of the exponential function. + """ + return S.Exp1 + + @staticmethod + @cacheit + def taylor_term(n, x, *previous_terms): + """ + Calculates the next term in the Taylor series expansion. + """ + if n < 0: + return S.Zero + if n == 0: + return S.One + x = sympify(x) + if previous_terms: + p = previous_terms[-1] + if p is not None: + return p * x / n + return x**n/factorial(n) + + def as_real_imag(self, deep=True, **hints): + """ + Returns this function as a 2-tuple representing a complex number. + + Examples + ======== + + >>> from sympy import exp, I + >>> from sympy.abc import x + >>> exp(x).as_real_imag() + (exp(re(x))*cos(im(x)), exp(re(x))*sin(im(x))) + >>> exp(1).as_real_imag() + (E, 0) + >>> exp(I).as_real_imag() + (cos(1), sin(1)) + >>> exp(1+I).as_real_imag() + (E*cos(1), E*sin(1)) + + See Also + ======== + + sympy.functions.elementary.complexes.re + sympy.functions.elementary.complexes.im + """ + from sympy.functions.elementary.trigonometric import cos, sin + re, im = self.args[0].as_real_imag() + if deep: + re = re.expand(deep, **hints) + im = im.expand(deep, **hints) + cos, sin = cos(im), sin(im) + return (exp(re)*cos, exp(re)*sin) + + def _eval_subs(self, old, new): + # keep processing of power-like args centralized in Pow + if old.is_Pow: # handle (exp(3*log(x))).subs(x**2, z) -> z**(3/2) + old = exp(old.exp*log(old.base)) + elif old is S.Exp1 and new.is_Function: + old = exp + if isinstance(old, exp) or old is S.Exp1: + f = lambda a: Pow(*a.as_base_exp(), evaluate=False) if ( + a.is_Pow or isinstance(a, exp)) else a + return Pow._eval_subs(f(self), f(old), new) + + if old is exp and not new.is_Function: + return new**self.exp._subs(old, new) + return super()._eval_subs(old, new) + + def _eval_is_extended_real(self): + if self.args[0].is_extended_real: + return True + elif self.args[0].is_imaginary: + arg2 = -S(2) * I * self.args[0] / pi + return arg2.is_even + + def _eval_is_complex(self): + def complex_extended_negative(arg): + yield arg.is_complex + yield arg.is_extended_negative + return fuzzy_or(complex_extended_negative(self.args[0])) + + def _eval_is_algebraic(self): + if (self.exp / pi / I).is_rational: + return True + if fuzzy_not(self.exp.is_zero): + if self.exp.is_algebraic: + return False + elif (self.exp / pi).is_rational: + return False + + def _eval_is_extended_positive(self): + if self.exp.is_extended_real: + return self.args[0] is not S.NegativeInfinity + elif self.exp.is_imaginary: + arg2 = -I * self.args[0] / pi + return arg2.is_even + + def _eval_nseries(self, x, n, logx, cdir=0): + # NOTE Please see the comment at the beginning of this file, labelled + # IMPORTANT. + from sympy.functions.elementary.complexes import sign + from sympy.functions.elementary.integers import ceiling + from sympy.series.limits import limit + from sympy.series.order import Order + from sympy.simplify.powsimp import powsimp + arg = self.exp + arg_series = arg._eval_nseries(x, n=n, logx=logx) + if arg_series.is_Order: + return 1 + arg_series + arg0 = limit(arg_series.removeO(), x, 0) + if arg0 is S.NegativeInfinity: + return Order(x**n, x) + if arg0 is S.Infinity: + return self + if arg0.is_infinite: + raise PoleError("Cannot expand %s around 0" % (self)) + # checking for indecisiveness/ sign terms in arg0 + if any(isinstance(arg, sign) for arg in arg0.args): + return self + t = Dummy("t") + nterms = n + try: + cf = Order(arg.as_leading_term(x, logx=logx), x).getn() + except (NotImplementedError, PoleError): + cf = 0 + if cf and cf > 0: + nterms = ceiling(n/cf) + exp_series = exp(t)._taylor(t, nterms) + r = exp(arg0)*exp_series.subs(t, arg_series - arg0) + rep = {logx: log(x)} if logx is not None else {} + if r.subs(rep) == self: + return r + if cf and cf > 1: + r += Order((arg_series - arg0)**n, x)/x**((cf-1)*n) + else: + r += Order((arg_series - arg0)**n, x) + r = r.expand() + r = powsimp(r, deep=True, combine='exp') + # powsimp may introduce unexpanded (-1)**Rational; see PR #17201 + simplerat = lambda x: x.is_Rational and x.q in [3, 4, 6] + w = Wild('w', properties=[simplerat]) + r = r.replace(S.NegativeOne**w, expand_complex(S.NegativeOne**w)) + return r + + def _taylor(self, x, n): + l = [] + g = None + for i in range(n): + g = self.taylor_term(i, self.args[0], g) + g = g.nseries(x, n=n) + l.append(g.removeO()) + return Add(*l) + + def _eval_as_leading_term(self, x, logx, cdir): + from sympy.calculus.util import AccumBounds + arg = self.args[0].cancel().as_leading_term(x, logx=logx) + arg0 = arg.subs(x, 0) + if arg is S.NaN: + return S.NaN + if isinstance(arg0, AccumBounds): + # This check addresses a corner case involving AccumBounds. + # if isinstance(arg, AccumBounds) is True, then arg0 can either be 0, + # AccumBounds(-oo, 0) or AccumBounds(-oo, oo). + # Check out function: test_issue_18473() in test_exponential.py and + # test_limits.py for more information. + if re(cdir) < S.Zero: + return exp(-arg0) + return exp(arg0) + if arg0 is S.NaN: + arg0 = arg.limit(x, 0) + if arg0.is_infinite is False: + return exp(arg0) + raise PoleError("Cannot expand %s around 0" % (self)) + + def _eval_rewrite_as_sin(self, arg, **kwargs): + from sympy.functions.elementary.trigonometric import sin + return sin(I*arg + pi/2) - I*sin(I*arg) + + def _eval_rewrite_as_cos(self, arg, **kwargs): + from sympy.functions.elementary.trigonometric import cos + return cos(I*arg) + I*cos(I*arg + pi/2) + + def _eval_rewrite_as_tanh(self, arg, **kwargs): + from sympy.functions.elementary.hyperbolic import tanh + return (1 + tanh(arg/2))/(1 - tanh(arg/2)) + + def _eval_rewrite_as_sqrt(self, arg, **kwargs): + from sympy.functions.elementary.trigonometric import sin, cos + if arg.is_Mul: + coeff = arg.coeff(pi*I) + if coeff and coeff.is_number: + cosine, sine = cos(pi*coeff), sin(pi*coeff) + if not isinstance(cosine, cos) and not isinstance (sine, sin): + return cosine + I*sine + + def _eval_rewrite_as_Pow(self, arg, **kwargs): + if arg.is_Mul: + logs = [a for a in arg.args if isinstance(a, log) and len(a.args) == 1] + if logs: + return Pow(logs[0].args[0], arg.coeff(logs[0])) + + +def match_real_imag(expr): + r""" + Try to match expr with $a + Ib$ for real $a$ and $b$. + + ``match_real_imag`` returns a tuple containing the real and imaginary + parts of expr or ``(None, None)`` if direct matching is not possible. Contrary + to :func:`~.re`, :func:`~.im``, and ``as_real_imag()``, this helper will not force things + by returning expressions themselves containing ``re()`` or ``im()`` and it + does not expand its argument either. + + """ + r_, i_ = expr.as_independent(I, as_Add=True) + if i_ == 0 and r_.is_real: + return (r_, i_) + i_ = i_.as_coefficient(I) + if i_ and i_.is_real and r_.is_real: + return (r_, i_) + else: + return (None, None) # simpler to check for than None + + +class log(DefinedFunction): + r""" + The natural logarithm function `\ln(x)` or `\log(x)`. + + Explanation + =========== + + Logarithms are taken with the natural base, `e`. To get + a logarithm of a different base ``b``, use ``log(x, b)``, + which is essentially short-hand for ``log(x)/log(b)``. + + ``log`` represents the principal branch of the natural + logarithm. As such it has a branch cut along the negative + real axis and returns values having a complex argument in + `(-\pi, \pi]`. + + Examples + ======== + + >>> from sympy import log, sqrt, S, I + >>> log(8, 2) + 3 + >>> log(S(8)/3, 2) + -log(3)/log(2) + 3 + >>> log(-1 + I*sqrt(3)) + log(2) + 2*I*pi/3 + + See Also + ======== + + exp + + """ + + args: tuple[Expr] + + _singularities = (S.Zero, S.ComplexInfinity) + + def fdiff(self, argindex=1): + """ + Returns the first derivative of the function. + """ + if argindex == 1: + return 1/self.args[0] + else: + raise ArgumentIndexError(self, argindex) + + def inverse(self, argindex=1): + r""" + Returns `e^x`, the inverse function of `\log(x)`. + """ + return exp + + @classmethod + def eval(cls, arg, base=None): + from sympy.calculus import AccumBounds + from sympy.sets.setexpr import SetExpr + + arg = sympify(arg) + + if base is not None: + base = sympify(base) + if base == 1: + if arg == 1: + return S.NaN + else: + return S.ComplexInfinity + try: + # handle extraction of powers of the base now + # or else expand_log in Mul would have to handle this + n = multiplicity(base, arg) + if n: + return n + log(arg / base**n) / log(base) + else: + return log(arg)/log(base) + except ValueError: + pass + if base is not S.Exp1: + return cls(arg)/cls(base) + else: + return cls(arg) + + if arg.is_Number: + if arg.is_zero: + return S.ComplexInfinity + elif arg is S.One: + return S.Zero + elif arg is S.Infinity: + return S.Infinity + elif arg is S.NegativeInfinity: + return S.Infinity + elif arg is S.NaN: + return S.NaN + elif arg.is_Rational and arg.p == 1: + return -cls(arg.q) + + if arg.is_Pow and arg.base is S.Exp1 and arg.exp.is_extended_real: + return arg.exp + if isinstance(arg, exp) and arg.exp.is_extended_real: + return arg.exp + elif isinstance(arg, exp) and arg.exp.is_number: + r_, i_ = match_real_imag(arg.exp) + if i_ and i_.is_comparable: + i_ %= 2*pi + if i_ > pi: + i_ -= 2*pi + return r_ + expand_mul(i_ * I, deep=False) + elif isinstance(arg, exp_polar): + return unpolarify(arg.exp) + elif isinstance(arg, AccumBounds): + if arg.min.is_positive: + return AccumBounds(log(arg.min), log(arg.max)) + elif arg.min.is_zero: + return AccumBounds(S.NegativeInfinity, log(arg.max)) + else: + return S.NaN + elif isinstance(arg, SetExpr): + return arg._eval_func(cls) + + if arg.is_number: + if arg.is_negative: + return pi * I + cls(-arg) + elif arg is S.ComplexInfinity: + return S.ComplexInfinity + elif arg is S.Exp1: + return S.One + + if arg.is_zero: + return S.ComplexInfinity + + # don't autoexpand Pow or Mul (see the issue 3351): + if not arg.is_Add: + coeff = arg.as_coefficient(I) + + if coeff is not None: + if coeff is S.Infinity: + return S.Infinity + elif coeff is S.NegativeInfinity: + return S.Infinity + elif coeff.is_Rational: + if coeff.is_nonnegative: + return pi * I * S.Half + cls(coeff) + else: + return -pi * I * S.Half + cls(-coeff) + + if arg.is_number and arg.is_algebraic: + # Match arg = coeff*(r_ + i_*I) with coeff>0, r_ and i_ real. + coeff, arg_ = arg.as_independent(I, as_Add=False) + if coeff.is_negative: + coeff *= -1 + arg_ *= -1 + arg_ = expand_mul(arg_, deep=False) + r_, i_ = arg_.as_independent(I, as_Add=True) + i_ = i_.as_coefficient(I) + if coeff.is_real and i_ and i_.is_real and r_.is_real: + if r_.is_zero: + if i_.is_positive: + return pi * I * S.Half + cls(coeff * i_) + elif i_.is_negative: + return -pi * I * S.Half + cls(coeff * -i_) + else: + from sympy.simplify import ratsimp + # Check for arguments involving rational multiples of pi + t = (i_/r_).cancel() + t1 = (-t).cancel() + atan_table = _log_atan_table() + if t in atan_table: + modulus = ratsimp(coeff * Abs(arg_)) + if r_.is_positive: + return cls(modulus) + I * atan_table[t] + else: + return cls(modulus) + I * (atan_table[t] - pi) + elif t1 in atan_table: + modulus = ratsimp(coeff * Abs(arg_)) + if r_.is_positive: + return cls(modulus) + I * (-atan_table[t1]) + else: + return cls(modulus) + I * (pi - atan_table[t1]) + + @staticmethod + @cacheit + def taylor_term(n, x, *previous_terms): # of log(1+x) + r""" + Returns the next term in the Taylor series expansion of `\log(1+x)`. + """ + from sympy.simplify.powsimp import powsimp + if n < 0: + return S.Zero + x = sympify(x) + if n == 0: + return x + if previous_terms: + p = previous_terms[-1] + if p is not None: + return powsimp((-n) * p * x / (n + 1), deep=True, combine='exp') + return (1 - 2*(n % 2)) * x**(n + 1)/(n + 1) + + def _eval_expand_log(self, deep=True, **hints): + from sympy.concrete import Sum, Product + force = hints.get('force', False) + factor = hints.get('factor', False) + if (len(self.args) == 2): + return expand_log(self.func(*self.args), deep=deep, force=force) + arg = self.args[0] + if arg.is_Integer: + # remove perfect powers + p = perfect_power(arg) + logarg = None + coeff = 1 + if p is not False: + arg, coeff = p + logarg = self.func(arg) + # expand as product of its prime factors if factor=True + if factor: + p = factorint(arg) + if arg not in p.keys(): + logarg = sum(n*log(val) for val, n in p.items()) + if logarg is not None: + return coeff*logarg + elif arg.is_Rational: + return log(arg.p) - log(arg.q) + elif arg.is_Mul: + expr = [] + nonpos = [] + for x in arg.args: + if force or x.is_positive or x.is_polar: + a = self.func(x) + if isinstance(a, log): + expr.append(self.func(x)._eval_expand_log(**hints)) + else: + expr.append(a) + elif x.is_negative: + a = self.func(-x) + expr.append(a) + nonpos.append(S.NegativeOne) + else: + nonpos.append(x) + return Add(*expr) + log(Mul(*nonpos)) + elif arg.is_Pow or isinstance(arg, exp): + if force or (arg.exp.is_extended_real and (arg.base.is_positive or ((arg.exp+1) + .is_positive and (arg.exp-1).is_nonpositive))) or arg.base.is_polar: + b = arg.base + e = arg.exp + a = self.func(b) + if isinstance(a, log): + return unpolarify(e) * a._eval_expand_log(**hints) + else: + return unpolarify(e) * a + elif isinstance(arg, Product): + if force or arg.function.is_positive: + return Sum(log(arg.function), *arg.limits) + + return self.func(arg) + + def _eval_simplify(self, **kwargs): + from sympy.simplify.simplify import expand_log, simplify, inversecombine + if len(self.args) == 2: # it's unevaluated + return simplify(self.func(*self.args), **kwargs) + + expr = self.func(simplify(self.args[0], **kwargs)) + if kwargs['inverse']: + expr = inversecombine(expr) + expr = expand_log(expr, deep=True) + return min([expr, self], key=kwargs['measure']) + + def as_real_imag(self, deep=True, **hints): + """ + Returns this function as a complex coordinate. + + Examples + ======== + + >>> from sympy import I, log + >>> from sympy.abc import x + >>> log(x).as_real_imag() + (log(Abs(x)), arg(x)) + >>> log(I).as_real_imag() + (0, pi/2) + >>> log(1 + I).as_real_imag() + (log(sqrt(2)), pi/4) + >>> log(I*x).as_real_imag() + (log(Abs(x)), arg(I*x)) + + """ + sarg = self.args[0] + if deep: + sarg = self.args[0].expand(deep, **hints) + sarg_abs = Abs(sarg) + if sarg_abs == sarg: + return self, S.Zero + sarg_arg = arg(sarg) + if hints.get('log', False): # Expand the log + hints['complex'] = False + return (log(sarg_abs).expand(deep, **hints), sarg_arg) + else: + return log(sarg_abs), sarg_arg + + def _eval_is_rational(self): + s = self.func(*self.args) + if s.func == self.func: + if (self.args[0] - 1).is_zero: + return True + if s.args[0].is_rational and fuzzy_not((self.args[0] - 1).is_zero): + return False + else: + return s.is_rational + + def _eval_is_algebraic(self): + s = self.func(*self.args) + if s.func == self.func: + if (self.args[0] - 1).is_zero: + return True + elif fuzzy_not((self.args[0] - 1).is_zero): + if self.args[0].is_algebraic: + return False + else: + return s.is_algebraic + + def _eval_is_extended_real(self): + return self.args[0].is_extended_positive + + def _eval_is_complex(self): + z = self.args[0] + return fuzzy_and([z.is_complex, fuzzy_not(z.is_zero)]) + + def _eval_is_finite(self): + arg = self.args[0] + if arg.is_zero: + return False + return arg.is_finite + + def _eval_is_extended_positive(self): + return (self.args[0] - 1).is_extended_positive + + def _eval_is_zero(self): + return (self.args[0] - 1).is_zero + + def _eval_is_extended_nonnegative(self): + return (self.args[0] - 1).is_extended_nonnegative + + def _eval_nseries(self, x, n, logx, cdir=0): + # NOTE Please see the comment at the beginning of this file, labelled + # IMPORTANT. + from sympy.series.order import Order + from sympy.simplify.simplify import logcombine + from sympy.core.symbol import Dummy + + if self.args[0] == x: + return log(x) if logx is None else logx + arg = self.args[0] + t = Dummy('t', positive=True) + if cdir == 0: + cdir = 1 + z = arg.subs(x, cdir*t) + + k, l = Wild("k"), Wild("l") + r = z.match(k*t**l) + if r is not None: + k, l = r[k], r[l] + if l != 0 and not l.has(t) and not k.has(t): + r = l*log(x) if logx is None else l*logx + r += log(k) - l*log(cdir) # XXX true regardless of assumptions? + return r + + def coeff_exp(term, x): + coeff, exp = S.One, S.Zero + for factor in Mul.make_args(term): + if factor.has(x): + base, exp = factor.as_base_exp() + if base != x: + try: + return term.leadterm(x) + except ValueError: + return term, S.Zero + else: + coeff *= factor + return coeff, exp + + # TODO new and probably slow + try: + a, b = z.leadterm(t, logx=logx, cdir=1) + except (ValueError, NotImplementedError, PoleError): + s = z._eval_nseries(t, n=n, logx=logx, cdir=1) + while s.is_Order: + n += 1 + s = z._eval_nseries(t, n=n, logx=logx, cdir=1) + try: + a, b = s.removeO().leadterm(t, cdir=1) + except ValueError: + a, b = s.removeO().as_leading_term(t, cdir=1), S.Zero + + p = (z/(a*t**b) - 1).cancel()._eval_nseries(t, n=n, logx=logx, cdir=1) + if p.has(exp): + p = logcombine(p) + if isinstance(p, Order): + n = p.getn() + _, d = coeff_exp(p, t) + logx = log(x) if logx is None else logx + + if not d.is_positive: + res = log(a) - b*log(cdir) + b*logx + _res = res + logflags = {"deep": True, "log": True, "mul": False, "power_exp": False, + "power_base": False, "multinomial": False, "basic": False, "force": True, + "factor": False} + expr = self.expand(**logflags) + if (not a.could_extract_minus_sign() and + logx.could_extract_minus_sign()): + _res = _res.subs(-logx, -log(x)).expand(**logflags) + else: + _res = _res.subs(logx, log(x)).expand(**logflags) + if _res == expr: + return res + return res + Order(x**n, x) + + def mul(d1, d2): + res = {} + for e1, e2 in product(d1, d2): + ex = e1 + e2 + if ex < n: + res[ex] = res.get(ex, S.Zero) + d1[e1]*d2[e2] + return res + + pterms = {} + + for term in Add.make_args(p.removeO()): + co1, e1 = coeff_exp(term, t) + pterms[e1] = pterms.get(e1, S.Zero) + co1 + + k = S.One + terms = {} + pk = pterms + + while k*d < n: + coeff = -S.NegativeOne**k/k + for ex in pk: + terms[ex] = terms.get(ex, S.Zero) + coeff*pk[ex] + pk = mul(pk, pterms) + k += S.One + + res = log(a) - b*log(cdir) + b*logx + for ex in terms: + res += terms[ex].cancel()*t**(ex) + + if a.is_negative and im(z) != 0: + from sympy.functions.special.delta_functions import Heaviside + for i, term in enumerate(z.lseries(t)): + if not term.is_real or i == 5: + break + if i < 5: + coeff, _ = term.as_coeff_exponent(t) + res += -2*I*pi*Heaviside(-im(coeff), 0) + + res = res.subs(t, x/cdir) + return res + Order(x**n, x) + + def _eval_as_leading_term(self, x, logx, cdir): + # NOTE + # Refer https://github.com/sympy/sympy/pull/23592 for more information + # on each of the following steps involved in this method. + arg0 = self.args[0].together() + + # STEP 1 + t = Dummy('t', positive=True) + if cdir == 0: + cdir = 1 + z = arg0.subs(x, cdir*t) + + # STEP 2 + try: + c, e = z.leadterm(t, logx=logx, cdir=1) + except ValueError: + arg = arg0.as_leading_term(x, logx=logx, cdir=cdir) + return log(arg) + if c.has(t): + c = c.subs(t, x/cdir) + if e != 0: + raise PoleError("Cannot expand %s around 0" % (self)) + return log(c) + + # STEP 3 + if c == S.One and e == S.Zero: + return (arg0 - S.One).as_leading_term(x, logx=logx) + + # STEP 4 + res = log(c) - e*log(cdir) + logx = log(x) if logx is None else logx + res += e*logx + + # STEP 5 + if c.is_negative and im(z) != 0: + from sympy.functions.special.delta_functions import Heaviside + for i, term in enumerate(z.lseries(t)): + if not term.is_real or i == 5: + break + if i < 5: + coeff, _ = term.as_coeff_exponent(t) + res += -2*I*pi*Heaviside(-im(coeff), 0) + return res + + +class LambertW(DefinedFunction): + r""" + The Lambert W function $W(z)$ is defined as the inverse + function of $w \exp(w)$ [1]_. + + Explanation + =========== + + In other words, the value of $W(z)$ is such that $z = W(z) \exp(W(z))$ + for any complex number $z$. The Lambert W function is a multivalued + function with infinitely many branches $W_k(z)$, indexed by + $k \in \mathbb{Z}$. Each branch gives a different solution $w$ + of the equation $z = w \exp(w)$. + + The Lambert W function has two partially real branches: the + principal branch ($k = 0$) is real for real $z > -1/e$, and the + $k = -1$ branch is real for $-1/e < z < 0$. All branches except + $k = 0$ have a logarithmic singularity at $z = 0$. + + Examples + ======== + + >>> from sympy import LambertW + >>> LambertW(1.2) + 0.635564016364870 + >>> LambertW(1.2, -1).n() + -1.34747534407696 - 4.41624341514535*I + >>> LambertW(-1).is_real + False + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Lambert_W_function + """ + _singularities = (-Pow(S.Exp1, -1, evaluate=False), S.ComplexInfinity) + + @classmethod + def eval(cls, x, k=None): + if k == S.Zero: + return cls(x) + elif k is None: + k = S.Zero + + if k.is_zero: + if x.is_zero: + return S.Zero + if x is S.Exp1: + return S.One + if x == -1/S.Exp1: + return S.NegativeOne + if x == -log(2)/2: + return -log(2) + if x == 2*log(2): + return log(2) + if x == -pi/2: + return I*pi/2 + if x == exp(1 + S.Exp1): + return S.Exp1 + if x is S.Infinity: + return S.Infinity + + if fuzzy_not(k.is_zero): + if x.is_zero: + return S.NegativeInfinity + if k is S.NegativeOne: + if x == -pi/2: + return -I*pi/2 + elif x == -1/S.Exp1: + return S.NegativeOne + elif x == -2*exp(-2): + return -Integer(2) + + def fdiff(self, argindex=1): + """ + Return the first derivative of this function. + """ + x = self.args[0] + + if len(self.args) == 1: + if argindex == 1: + return LambertW(x)/(x*(1 + LambertW(x))) + else: + k = self.args[1] + if argindex == 1: + return LambertW(x, k)/(x*(1 + LambertW(x, k))) + + raise ArgumentIndexError(self, argindex) + + def _eval_is_extended_real(self): + x = self.args[0] + if len(self.args) == 1: + k = S.Zero + else: + k = self.args[1] + if k.is_zero: + if (x + 1/S.Exp1).is_positive: + return True + elif (x + 1/S.Exp1).is_nonpositive: + return False + elif (k + 1).is_zero: + if x.is_negative and (x + 1/S.Exp1).is_positive: + return True + elif x.is_nonpositive or (x + 1/S.Exp1).is_nonnegative: + return False + elif fuzzy_not(k.is_zero) and fuzzy_not((k + 1).is_zero): + if x.is_extended_real: + return False + + def _eval_is_finite(self): + return self.args[0].is_finite + + def _eval_is_algebraic(self): + s = self.func(*self.args) + if s.func == self.func: + if fuzzy_not(self.args[0].is_zero) and self.args[0].is_algebraic: + return False + else: + return s.is_algebraic + + def _eval_as_leading_term(self, x, logx, cdir): + if len(self.args) == 1: + arg = self.args[0] + arg0 = arg.subs(x, 0).cancel() + if not arg0.is_zero: + return self.func(arg0) + return arg.as_leading_term(x) + + def _eval_nseries(self, x, n, logx, cdir=0): + if len(self.args) == 1: + from sympy.functions.elementary.integers import ceiling + from sympy.series.order import Order + arg = self.args[0].nseries(x, n=n, logx=logx) + lt = arg.as_leading_term(x, logx=logx) + lte = 1 + if lt.is_Pow: + lte = lt.exp + if ceiling(n/lte) >= 1: + s = Add(*[(-S.One)**(k - 1)*Integer(k)**(k - 2)/ + factorial(k - 1)*arg**k for k in range(1, ceiling(n/lte))]) + s = expand_multinomial(s) + else: + s = S.Zero + + return s + Order(x**n, x) + return super()._eval_nseries(x, n, logx) + + def _eval_is_zero(self): + x = self.args[0] + if len(self.args) == 1: + return x.is_zero + else: + return fuzzy_and([x.is_zero, self.args[1].is_zero]) + + +@cacheit +def _log_atan_table(): + return { + # first quadrant only + sqrt(3): pi / 3, + 1: pi / 4, + sqrt(5 - 2 * sqrt(5)): pi / 5, + sqrt(2) * sqrt(5 - sqrt(5)) / (1 + sqrt(5)): pi / 5, + sqrt(5 + 2 * sqrt(5)): pi * Rational(2, 5), + sqrt(2) * sqrt(sqrt(5) + 5) / (-1 + sqrt(5)): pi * Rational(2, 5), + sqrt(3) / 3: pi / 6, + sqrt(2) - 1: pi / 8, + sqrt(2 - sqrt(2)) / sqrt(sqrt(2) + 2): pi / 8, + sqrt(2) + 1: pi * Rational(3, 8), + sqrt(sqrt(2) + 2) / sqrt(2 - sqrt(2)): pi * Rational(3, 8), + sqrt(1 - 2 * sqrt(5) / 5): pi / 10, + (-sqrt(2) + sqrt(10)) / (2 * sqrt(sqrt(5) + 5)): pi / 10, + sqrt(1 + 2 * sqrt(5) / 5): pi * Rational(3, 10), + (sqrt(2) + sqrt(10)) / (2 * sqrt(5 - sqrt(5))): pi * Rational(3, 10), + 2 - sqrt(3): pi / 12, + (-1 + sqrt(3)) / (1 + sqrt(3)): pi / 12, + 2 + sqrt(3): pi * Rational(5, 12), + (1 + sqrt(3)) / (-1 + sqrt(3)): pi * Rational(5, 12) + } diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/hyperbolic.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/hyperbolic.py new file mode 100644 index 0000000000000000000000000000000000000000..1031d035373bb641d26e61a395e6048906285bfe --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/hyperbolic.py @@ -0,0 +1,2285 @@ +from sympy.core import S, sympify, cacheit +from sympy.core.add import Add +from sympy.core.function import DefinedFunction, ArgumentIndexError +from sympy.core.logic import fuzzy_or, fuzzy_and, fuzzy_not, FuzzyBool +from sympy.core.numbers import I, pi, Rational +from sympy.core.symbol import Dummy +from sympy.functions.combinatorial.factorials import (binomial, factorial, + RisingFactorial) +from sympy.functions.combinatorial.numbers import bernoulli, euler, nC +from sympy.functions.elementary.complexes import Abs, im, re +from sympy.functions.elementary.exponential import exp, log, match_real_imag +from sympy.functions.elementary.integers import floor +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.trigonometric import ( + acos, acot, asin, atan, cos, cot, csc, sec, sin, tan, + _imaginary_unit_as_coefficient) +from sympy.polys.specialpolys import symmetric_poly + + +def _rewrite_hyperbolics_as_exp(expr): + return expr.xreplace({h: h.rewrite(exp) + for h in expr.atoms(HyperbolicFunction)}) + + +@cacheit +def _acosh_table(): + return { + I: log(I*(1 + sqrt(2))), + -I: log(-I*(1 + sqrt(2))), + S.Half: pi/3, + Rational(-1, 2): pi*Rational(2, 3), + sqrt(2)/2: pi/4, + -sqrt(2)/2: pi*Rational(3, 4), + 1/sqrt(2): pi/4, + -1/sqrt(2): pi*Rational(3, 4), + sqrt(3)/2: pi/6, + -sqrt(3)/2: pi*Rational(5, 6), + (sqrt(3) - 1)/sqrt(2**3): pi*Rational(5, 12), + -(sqrt(3) - 1)/sqrt(2**3): pi*Rational(7, 12), + sqrt(2 + sqrt(2))/2: pi/8, + -sqrt(2 + sqrt(2))/2: pi*Rational(7, 8), + sqrt(2 - sqrt(2))/2: pi*Rational(3, 8), + -sqrt(2 - sqrt(2))/2: pi*Rational(5, 8), + (1 + sqrt(3))/(2*sqrt(2)): pi/12, + -(1 + sqrt(3))/(2*sqrt(2)): pi*Rational(11, 12), + (sqrt(5) + 1)/4: pi/5, + -(sqrt(5) + 1)/4: pi*Rational(4, 5) + } + + +@cacheit +def _acsch_table(): + return { + I: -pi / 2, + I*(sqrt(2) + sqrt(6)): -pi / 12, + I*(1 + sqrt(5)): -pi / 10, + I*2 / sqrt(2 - sqrt(2)): -pi / 8, + I*2: -pi / 6, + I*sqrt(2 + 2/sqrt(5)): -pi / 5, + I*sqrt(2): -pi / 4, + I*(sqrt(5)-1): -3*pi / 10, + I*2 / sqrt(3): -pi / 3, + I*2 / sqrt(2 + sqrt(2)): -3*pi / 8, + I*sqrt(2 - 2/sqrt(5)): -2*pi / 5, + I*(sqrt(6) - sqrt(2)): -5*pi / 12, + S(2): -I*log((1+sqrt(5))/2), + } + + +@cacheit +def _asech_table(): + return { + I: - (pi*I / 2) + log(1 + sqrt(2)), + -I: (pi*I / 2) + log(1 + sqrt(2)), + (sqrt(6) - sqrt(2)): pi / 12, + (sqrt(2) - sqrt(6)): 11*pi / 12, + sqrt(2 - 2/sqrt(5)): pi / 10, + -sqrt(2 - 2/sqrt(5)): 9*pi / 10, + 2 / sqrt(2 + sqrt(2)): pi / 8, + -2 / sqrt(2 + sqrt(2)): 7*pi / 8, + 2 / sqrt(3): pi / 6, + -2 / sqrt(3): 5*pi / 6, + (sqrt(5) - 1): pi / 5, + (1 - sqrt(5)): 4*pi / 5, + sqrt(2): pi / 4, + -sqrt(2): 3*pi / 4, + sqrt(2 + 2/sqrt(5)): 3*pi / 10, + -sqrt(2 + 2/sqrt(5)): 7*pi / 10, + S(2): pi / 3, + -S(2): 2*pi / 3, + sqrt(2*(2 + sqrt(2))): 3*pi / 8, + -sqrt(2*(2 + sqrt(2))): 5*pi / 8, + (1 + sqrt(5)): 2*pi / 5, + (-1 - sqrt(5)): 3*pi / 5, + (sqrt(6) + sqrt(2)): 5*pi / 12, + (-sqrt(6) - sqrt(2)): 7*pi / 12, + I*S.Infinity: -pi*I / 2, + I*S.NegativeInfinity: pi*I / 2, + } + +############################################################################### +########################### HYPERBOLIC FUNCTIONS ############################## +############################################################################### + + +class HyperbolicFunction(DefinedFunction): + """ + Base class for hyperbolic functions. + + See Also + ======== + + sinh, cosh, tanh, coth + """ + + unbranched = True + + +def _peeloff_ipi(arg): + r""" + Split ARG into two parts, a "rest" and a multiple of $I\pi$. + This assumes ARG to be an ``Add``. + The multiple of $I\pi$ returned in the second position is always a ``Rational``. + + Examples + ======== + + >>> from sympy.functions.elementary.hyperbolic import _peeloff_ipi as peel + >>> from sympy import pi, I + >>> from sympy.abc import x, y + >>> peel(x + I*pi/2) + (x, 1/2) + >>> peel(x + I*2*pi/3 + I*pi*y) + (x + I*pi*y + I*pi/6, 1/2) + """ + ipi = pi*I + for a in Add.make_args(arg): + if a == ipi: + K = S.One + break + elif a.is_Mul: + K, p = a.as_two_terms() + if p == ipi and K.is_Rational: + break + else: + return arg, S.Zero + + m1 = (K % S.Half) + m2 = K - m1 + return arg - m2*ipi, m2 + + +class sinh(HyperbolicFunction): + r""" + ``sinh(x)`` is the hyperbolic sine of ``x``. + + The hyperbolic sine function is $\frac{e^x - e^{-x}}{2}$. + + Examples + ======== + + >>> from sympy import sinh + >>> from sympy.abc import x + >>> sinh(x) + sinh(x) + + See Also + ======== + + cosh, tanh, asinh + """ + + def fdiff(self, argindex=1): + """ + Returns the first derivative of this function. + """ + if argindex == 1: + return cosh(self.args[0]) + else: + raise ArgumentIndexError(self, argindex) + + def inverse(self, argindex=1): + """ + Returns the inverse of this function. + """ + return asinh + + @classmethod + def eval(cls, arg): + if arg.is_Number: + if arg is S.NaN: + return S.NaN + elif arg is S.Infinity: + return S.Infinity + elif arg is S.NegativeInfinity: + return S.NegativeInfinity + elif arg.is_zero: + return S.Zero + elif arg.is_negative: + return -cls(-arg) + else: + if arg is S.ComplexInfinity: + return S.NaN + + i_coeff = _imaginary_unit_as_coefficient(arg) + + if i_coeff is not None: + return I * sin(i_coeff) + else: + if arg.could_extract_minus_sign(): + return -cls(-arg) + + if arg.is_Add: + x, m = _peeloff_ipi(arg) + if m: + m = m*pi*I + return sinh(m)*cosh(x) + cosh(m)*sinh(x) + + if arg.is_zero: + return S.Zero + + if arg.func == asinh: + return arg.args[0] + + if arg.func == acosh: + x = arg.args[0] + return sqrt(x - 1) * sqrt(x + 1) + + if arg.func == atanh: + x = arg.args[0] + return x/sqrt(1 - x**2) + + if arg.func == acoth: + x = arg.args[0] + return 1/(sqrt(x - 1) * sqrt(x + 1)) + + @staticmethod + @cacheit + def taylor_term(n, x, *previous_terms): + """ + Returns the next term in the Taylor series expansion. + """ + if n < 0 or n % 2 == 0: + return S.Zero + else: + x = sympify(x) + + if len(previous_terms) > 2: + p = previous_terms[-2] + return p * x**2 / (n*(n - 1)) + else: + return x**(n) / factorial(n) + + def _eval_conjugate(self): + return self.func(self.args[0].conjugate()) + + def as_real_imag(self, deep=True, **hints): + """ + Returns this function as a complex coordinate. + """ + if self.args[0].is_extended_real: + if deep: + hints['complex'] = False + return (self.expand(deep, **hints), S.Zero) + else: + return (self, S.Zero) + if deep: + re, im = self.args[0].expand(deep, **hints).as_real_imag() + else: + re, im = self.args[0].as_real_imag() + return (sinh(re)*cos(im), cosh(re)*sin(im)) + + def _eval_expand_complex(self, deep=True, **hints): + re_part, im_part = self.as_real_imag(deep=deep, **hints) + return re_part + im_part*I + + def _eval_expand_trig(self, deep=True, **hints): + if deep: + arg = self.args[0].expand(deep, **hints) + else: + arg = self.args[0] + x = None + if arg.is_Add: # TODO, implement more if deep stuff here + x, y = arg.as_two_terms() + else: + coeff, terms = arg.as_coeff_Mul(rational=True) + if coeff is not S.One and coeff.is_Integer and terms is not S.One: + x = terms + y = (coeff - 1)*x + if x is not None: + return (sinh(x)*cosh(y) + sinh(y)*cosh(x)).expand(trig=True) + return sinh(arg) + + def _eval_rewrite_as_tractable(self, arg, limitvar=None, **kwargs): + return (exp(arg) - exp(-arg)) / 2 + + def _eval_rewrite_as_exp(self, arg, **kwargs): + return (exp(arg) - exp(-arg)) / 2 + + def _eval_rewrite_as_sin(self, arg, **kwargs): + return -I * sin(I * arg) + + def _eval_rewrite_as_csc(self, arg, **kwargs): + return -I / csc(I * arg) + + def _eval_rewrite_as_cosh(self, arg, **kwargs): + return -I*cosh(arg + pi*I/2) + + def _eval_rewrite_as_tanh(self, arg, **kwargs): + tanh_half = tanh(S.Half*arg) + return 2*tanh_half/(1 - tanh_half**2) + + def _eval_rewrite_as_coth(self, arg, **kwargs): + coth_half = coth(S.Half*arg) + return 2*coth_half/(coth_half**2 - 1) + + def _eval_rewrite_as_csch(self, arg, **kwargs): + return 1 / csch(arg) + + def _eval_as_leading_term(self, x, logx, cdir): + arg = self.args[0].as_leading_term(x, logx=logx, cdir=cdir) + arg0 = arg.subs(x, 0) + + if arg0 is S.NaN: + arg0 = arg.limit(x, 0, dir='-' if cdir.is_negative else '+') + if arg0.is_zero: + return arg + elif arg0.is_finite: + return self.func(arg0) + else: + return self + + def _eval_is_real(self): + arg = self.args[0] + if arg.is_real: + return True + + # if `im` is of the form n*pi + # else, check if it is a number + re, im = arg.as_real_imag() + return (im%pi).is_zero + + def _eval_is_extended_real(self): + if self.args[0].is_extended_real: + return True + + def _eval_is_positive(self): + if self.args[0].is_extended_real: + return self.args[0].is_positive + + def _eval_is_negative(self): + if self.args[0].is_extended_real: + return self.args[0].is_negative + + def _eval_is_finite(self): + arg = self.args[0] + return arg.is_finite + + def _eval_is_zero(self): + rest, ipi_mult = _peeloff_ipi(self.args[0]) + if rest.is_zero: + return ipi_mult.is_integer + + +class cosh(HyperbolicFunction): + r""" + ``cosh(x)`` is the hyperbolic cosine of ``x``. + + The hyperbolic cosine function is $\frac{e^x + e^{-x}}{2}$. + + Examples + ======== + + >>> from sympy import cosh + >>> from sympy.abc import x + >>> cosh(x) + cosh(x) + + See Also + ======== + + sinh, tanh, acosh + """ + + def fdiff(self, argindex=1): + if argindex == 1: + return sinh(self.args[0]) + else: + raise ArgumentIndexError(self, argindex) + + @classmethod + def eval(cls, arg): + from sympy.functions.elementary.trigonometric import cos + if arg.is_Number: + if arg is S.NaN: + return S.NaN + elif arg is S.Infinity: + return S.Infinity + elif arg is S.NegativeInfinity: + return S.Infinity + elif arg.is_zero: + return S.One + elif arg.is_negative: + return cls(-arg) + else: + if arg is S.ComplexInfinity: + return S.NaN + + i_coeff = _imaginary_unit_as_coefficient(arg) + + if i_coeff is not None: + return cos(i_coeff) + else: + if arg.could_extract_minus_sign(): + return cls(-arg) + + if arg.is_Add: + x, m = _peeloff_ipi(arg) + if m: + m = m*pi*I + return cosh(m)*cosh(x) + sinh(m)*sinh(x) + + if arg.is_zero: + return S.One + + if arg.func == asinh: + return sqrt(1 + arg.args[0]**2) + + if arg.func == acosh: + return arg.args[0] + + if arg.func == atanh: + return 1/sqrt(1 - arg.args[0]**2) + + if arg.func == acoth: + x = arg.args[0] + return x/(sqrt(x - 1) * sqrt(x + 1)) + + @staticmethod + @cacheit + def taylor_term(n, x, *previous_terms): + if n < 0 or n % 2 == 1: + return S.Zero + else: + x = sympify(x) + + if len(previous_terms) > 2: + p = previous_terms[-2] + return p * x**2 / (n*(n - 1)) + else: + return x**(n)/factorial(n) + + def _eval_conjugate(self): + return self.func(self.args[0].conjugate()) + + def as_real_imag(self, deep=True, **hints): + if self.args[0].is_extended_real: + if deep: + hints['complex'] = False + return (self.expand(deep, **hints), S.Zero) + else: + return (self, S.Zero) + if deep: + re, im = self.args[0].expand(deep, **hints).as_real_imag() + else: + re, im = self.args[0].as_real_imag() + + return (cosh(re)*cos(im), sinh(re)*sin(im)) + + def _eval_expand_complex(self, deep=True, **hints): + re_part, im_part = self.as_real_imag(deep=deep, **hints) + return re_part + im_part*I + + def _eval_expand_trig(self, deep=True, **hints): + if deep: + arg = self.args[0].expand(deep, **hints) + else: + arg = self.args[0] + x = None + if arg.is_Add: # TODO, implement more if deep stuff here + x, y = arg.as_two_terms() + else: + coeff, terms = arg.as_coeff_Mul(rational=True) + if coeff is not S.One and coeff.is_Integer and terms is not S.One: + x = terms + y = (coeff - 1)*x + if x is not None: + return (cosh(x)*cosh(y) + sinh(x)*sinh(y)).expand(trig=True) + return cosh(arg) + + def _eval_rewrite_as_tractable(self, arg, limitvar=None, **kwargs): + return (exp(arg) + exp(-arg)) / 2 + + def _eval_rewrite_as_exp(self, arg, **kwargs): + return (exp(arg) + exp(-arg)) / 2 + + def _eval_rewrite_as_cos(self, arg, **kwargs): + return cos(I * arg, evaluate=False) + + def _eval_rewrite_as_sec(self, arg, **kwargs): + return 1 / sec(I * arg, evaluate=False) + + def _eval_rewrite_as_sinh(self, arg, **kwargs): + return -I*sinh(arg + pi*I/2, evaluate=False) + + def _eval_rewrite_as_tanh(self, arg, **kwargs): + tanh_half = tanh(S.Half*arg)**2 + return (1 + tanh_half)/(1 - tanh_half) + + def _eval_rewrite_as_coth(self, arg, **kwargs): + coth_half = coth(S.Half*arg)**2 + return (coth_half + 1)/(coth_half - 1) + + def _eval_rewrite_as_sech(self, arg, **kwargs): + return 1 / sech(arg) + + def _eval_as_leading_term(self, x, logx, cdir): + arg = self.args[0].as_leading_term(x, logx=logx, cdir=cdir) + arg0 = arg.subs(x, 0) + + if arg0 is S.NaN: + arg0 = arg.limit(x, 0, dir='-' if cdir.is_negative else '+') + if arg0.is_zero: + return S.One + elif arg0.is_finite: + return self.func(arg0) + else: + return self + + def _eval_is_real(self): + arg = self.args[0] + + # `cosh(x)` is real for real OR purely imaginary `x` + if arg.is_real or arg.is_imaginary: + return True + + # cosh(a+ib) = cos(b)*cosh(a) + i*sin(b)*sinh(a) + # the imaginary part can be an expression like n*pi + # if not, check if the imaginary part is a number + re, im = arg.as_real_imag() + return (im%pi).is_zero + + def _eval_is_positive(self): + # cosh(x+I*y) = cos(y)*cosh(x) + I*sin(y)*sinh(x) + # cosh(z) is positive iff it is real and the real part is positive. + # So we need sin(y)*sinh(x) = 0 which gives x=0 or y=n*pi + # Case 1 (y=n*pi): cosh(z) = (-1)**n * cosh(x) -> positive for n even + # Case 2 (x=0): cosh(z) = cos(y) -> positive when cos(y) is positive + z = self.args[0] + + x, y = z.as_real_imag() + ymod = y % (2*pi) + + yzero = ymod.is_zero + # shortcut if ymod is zero + if yzero: + return True + + xzero = x.is_zero + # shortcut x is not zero + if xzero is False: + return yzero + + return fuzzy_or([ + # Case 1: + yzero, + # Case 2: + fuzzy_and([ + xzero, + fuzzy_or([ymod < pi/2, ymod > 3*pi/2]) + ]) + ]) + + + def _eval_is_nonnegative(self): + z = self.args[0] + + x, y = z.as_real_imag() + ymod = y % (2*pi) + + yzero = ymod.is_zero + # shortcut if ymod is zero + if yzero: + return True + + xzero = x.is_zero + # shortcut x is not zero + if xzero is False: + return yzero + + return fuzzy_or([ + # Case 1: + yzero, + # Case 2: + fuzzy_and([ + xzero, + fuzzy_or([ymod <= pi/2, ymod >= 3*pi/2]) + ]) + ]) + + def _eval_is_finite(self): + arg = self.args[0] + return arg.is_finite + + def _eval_is_zero(self): + rest, ipi_mult = _peeloff_ipi(self.args[0]) + if ipi_mult and rest.is_zero: + return (ipi_mult - S.Half).is_integer + + +class tanh(HyperbolicFunction): + r""" + ``tanh(x)`` is the hyperbolic tangent of ``x``. + + The hyperbolic tangent function is $\frac{\sinh(x)}{\cosh(x)}$. + + Examples + ======== + + >>> from sympy import tanh + >>> from sympy.abc import x + >>> tanh(x) + tanh(x) + + See Also + ======== + + sinh, cosh, atanh + """ + + def fdiff(self, argindex=1): + if argindex == 1: + return S.One - tanh(self.args[0])**2 + else: + raise ArgumentIndexError(self, argindex) + + def inverse(self, argindex=1): + """ + Returns the inverse of this function. + """ + return atanh + + @classmethod + def eval(cls, arg): + if arg.is_Number: + if arg is S.NaN: + return S.NaN + elif arg is S.Infinity: + return S.One + elif arg is S.NegativeInfinity: + return S.NegativeOne + elif arg.is_zero: + return S.Zero + elif arg.is_negative: + return -cls(-arg) + else: + if arg is S.ComplexInfinity: + return S.NaN + + i_coeff = _imaginary_unit_as_coefficient(arg) + + if i_coeff is not None: + if i_coeff.could_extract_minus_sign(): + return -I * tan(-i_coeff) + return I * tan(i_coeff) + else: + if arg.could_extract_minus_sign(): + return -cls(-arg) + + if arg.is_Add: + x, m = _peeloff_ipi(arg) + if m: + tanhm = tanh(m*pi*I) + if tanhm is S.ComplexInfinity: + return coth(x) + else: # tanhm == 0 + return tanh(x) + + if arg.is_zero: + return S.Zero + + if arg.func == asinh: + x = arg.args[0] + return x/sqrt(1 + x**2) + + if arg.func == acosh: + x = arg.args[0] + return sqrt(x - 1) * sqrt(x + 1) / x + + if arg.func == atanh: + return arg.args[0] + + if arg.func == acoth: + return 1/arg.args[0] + + @staticmethod + @cacheit + def taylor_term(n, x, *previous_terms): + if n < 0 or n % 2 == 0: + return S.Zero + else: + x = sympify(x) + + a = 2**(n + 1) + + B = bernoulli(n + 1) + F = factorial(n + 1) + + return a*(a - 1) * B/F * x**n + + def _eval_conjugate(self): + return self.func(self.args[0].conjugate()) + + def as_real_imag(self, deep=True, **hints): + if self.args[0].is_extended_real: + if deep: + hints['complex'] = False + return (self.expand(deep, **hints), S.Zero) + else: + return (self, S.Zero) + if deep: + re, im = self.args[0].expand(deep, **hints).as_real_imag() + else: + re, im = self.args[0].as_real_imag() + denom = sinh(re)**2 + cos(im)**2 + return (sinh(re)*cosh(re)/denom, sin(im)*cos(im)/denom) + + def _eval_expand_trig(self, **hints): + arg = self.args[0] + if arg.is_Add: + n = len(arg.args) + TX = [tanh(x, evaluate=False)._eval_expand_trig() + for x in arg.args] + p = [0, 0] # [den, num] + for i in range(n + 1): + p[i % 2] += symmetric_poly(i, TX) + return p[1]/p[0] + elif arg.is_Mul: + coeff, terms = arg.as_coeff_Mul() + if coeff.is_Integer and coeff > 1: + T = tanh(terms) + n = [nC(range(coeff), k)*T**k for k in range(1, coeff + 1, 2)] + d = [nC(range(coeff), k)*T**k for k in range(0, coeff + 1, 2)] + return Add(*n)/Add(*d) + return tanh(arg) + + def _eval_rewrite_as_tractable(self, arg, limitvar=None, **kwargs): + neg_exp, pos_exp = exp(-arg), exp(arg) + return (pos_exp - neg_exp)/(pos_exp + neg_exp) + + def _eval_rewrite_as_exp(self, arg, **kwargs): + neg_exp, pos_exp = exp(-arg), exp(arg) + return (pos_exp - neg_exp)/(pos_exp + neg_exp) + + def _eval_rewrite_as_tan(self, arg, **kwargs): + return -I * tan(I * arg, evaluate=False) + + def _eval_rewrite_as_cot(self, arg, **kwargs): + return -I / cot(I * arg, evaluate=False) + + def _eval_rewrite_as_sinh(self, arg, **kwargs): + return I*sinh(arg)/sinh(pi*I/2 - arg, evaluate=False) + + def _eval_rewrite_as_cosh(self, arg, **kwargs): + return I*cosh(pi*I/2 - arg, evaluate=False)/cosh(arg) + + def _eval_rewrite_as_coth(self, arg, **kwargs): + return 1/coth(arg) + + def _eval_as_leading_term(self, x, logx, cdir): + from sympy.series.order import Order + arg = self.args[0].as_leading_term(x) + + if x in arg.free_symbols and Order(1, x).contains(arg): + return arg + else: + return self.func(arg) + + def _eval_is_real(self): + arg = self.args[0] + if arg.is_real: + return True + + re, im = arg.as_real_imag() + + # if denom = 0, tanh(arg) = zoo + if re == 0 and im % pi == pi/2: + return None + + # check if im is of the form n*pi/2 to make sin(2*im) = 0 + # if not, im could be a number, return False in that case + return (im % (pi/2)).is_zero + + def _eval_is_extended_real(self): + if self.args[0].is_extended_real: + return True + + def _eval_is_positive(self): + if self.args[0].is_extended_real: + return self.args[0].is_positive + + def _eval_is_negative(self): + if self.args[0].is_extended_real: + return self.args[0].is_negative + + def _eval_is_finite(self): + arg = self.args[0] + + re, im = arg.as_real_imag() + denom = cos(im)**2 + sinh(re)**2 + if denom == 0: + return False + elif denom.is_number: + return True + if arg.is_extended_real: + return True + + def _eval_is_zero(self): + arg = self.args[0] + if arg.is_zero: + return True + + +class coth(HyperbolicFunction): + r""" + ``coth(x)`` is the hyperbolic cotangent of ``x``. + + The hyperbolic cotangent function is $\frac{\cosh(x)}{\sinh(x)}$. + + Examples + ======== + + >>> from sympy import coth + >>> from sympy.abc import x + >>> coth(x) + coth(x) + + See Also + ======== + + sinh, cosh, acoth + """ + + def fdiff(self, argindex=1): + if argindex == 1: + return -1/sinh(self.args[0])**2 + else: + raise ArgumentIndexError(self, argindex) + + def inverse(self, argindex=1): + """ + Returns the inverse of this function. + """ + return acoth + + @classmethod + def eval(cls, arg): + if arg.is_Number: + if arg is S.NaN: + return S.NaN + elif arg is S.Infinity: + return S.One + elif arg is S.NegativeInfinity: + return S.NegativeOne + elif arg.is_zero: + return S.ComplexInfinity + elif arg.is_negative: + return -cls(-arg) + else: + if arg is S.ComplexInfinity: + return S.NaN + + i_coeff = _imaginary_unit_as_coefficient(arg) + + if i_coeff is not None: + if i_coeff.could_extract_minus_sign(): + return I * cot(-i_coeff) + return -I * cot(i_coeff) + else: + if arg.could_extract_minus_sign(): + return -cls(-arg) + + if arg.is_Add: + x, m = _peeloff_ipi(arg) + if m: + cothm = coth(m*pi*I) + if cothm is S.ComplexInfinity: + return coth(x) + else: # cothm == 0 + return tanh(x) + + if arg.is_zero: + return S.ComplexInfinity + + if arg.func == asinh: + x = arg.args[0] + return sqrt(1 + x**2)/x + + if arg.func == acosh: + x = arg.args[0] + return x/(sqrt(x - 1) * sqrt(x + 1)) + + if arg.func == atanh: + return 1/arg.args[0] + + if arg.func == acoth: + return arg.args[0] + + @staticmethod + @cacheit + def taylor_term(n, x, *previous_terms): + if n == 0: + return 1 / sympify(x) + elif n < 0 or n % 2 == 0: + return S.Zero + else: + x = sympify(x) + + B = bernoulli(n + 1) + F = factorial(n + 1) + + return 2**(n + 1) * B/F * x**n + + def _eval_conjugate(self): + return self.func(self.args[0].conjugate()) + + def as_real_imag(self, deep=True, **hints): + from sympy.functions.elementary.trigonometric import (cos, sin) + if self.args[0].is_extended_real: + if deep: + hints['complex'] = False + return (self.expand(deep, **hints), S.Zero) + else: + return (self, S.Zero) + if deep: + re, im = self.args[0].expand(deep, **hints).as_real_imag() + else: + re, im = self.args[0].as_real_imag() + denom = sinh(re)**2 + sin(im)**2 + return (sinh(re)*cosh(re)/denom, -sin(im)*cos(im)/denom) + + def _eval_rewrite_as_tractable(self, arg, limitvar=None, **kwargs): + neg_exp, pos_exp = exp(-arg), exp(arg) + return (pos_exp + neg_exp)/(pos_exp - neg_exp) + + def _eval_rewrite_as_exp(self, arg, **kwargs): + neg_exp, pos_exp = exp(-arg), exp(arg) + return (pos_exp + neg_exp)/(pos_exp - neg_exp) + + def _eval_rewrite_as_sinh(self, arg, **kwargs): + return -I*sinh(pi*I/2 - arg, evaluate=False)/sinh(arg) + + def _eval_rewrite_as_cosh(self, arg, **kwargs): + return -I*cosh(arg)/cosh(pi*I/2 - arg, evaluate=False) + + def _eval_rewrite_as_tanh(self, arg, **kwargs): + return 1/tanh(arg) + + def _eval_is_positive(self): + if self.args[0].is_extended_real: + return self.args[0].is_positive + + def _eval_is_negative(self): + if self.args[0].is_extended_real: + return self.args[0].is_negative + + def _eval_as_leading_term(self, x, logx, cdir): + from sympy.series.order import Order + arg = self.args[0].as_leading_term(x) + + if x in arg.free_symbols and Order(1, x).contains(arg): + return 1/arg + else: + return self.func(arg) + + def _eval_expand_trig(self, **hints): + arg = self.args[0] + if arg.is_Add: + CX = [coth(x, evaluate=False)._eval_expand_trig() for x in arg.args] + p = [[], []] + n = len(arg.args) + for i in range(n, -1, -1): + p[(n - i) % 2].append(symmetric_poly(i, CX)) + return Add(*p[0])/Add(*p[1]) + elif arg.is_Mul: + coeff, x = arg.as_coeff_Mul(rational=True) + if coeff.is_Integer and coeff > 1: + c = coth(x, evaluate=False) + p = [[], []] + for i in range(coeff, -1, -1): + p[(coeff - i) % 2].append(binomial(coeff, i)*c**i) + return Add(*p[0])/Add(*p[1]) + return coth(arg) + + +class ReciprocalHyperbolicFunction(HyperbolicFunction): + """Base class for reciprocal functions of hyperbolic functions. """ + + #To be defined in class + _reciprocal_of = None + _is_even: FuzzyBool = None + _is_odd: FuzzyBool = None + + @classmethod + def eval(cls, arg): + if arg.could_extract_minus_sign(): + if cls._is_even: + return cls(-arg) + if cls._is_odd: + return -cls(-arg) + + t = cls._reciprocal_of.eval(arg) + if hasattr(arg, 'inverse') and arg.inverse() == cls: + return arg.args[0] + return 1/t if t is not None else t + + def _call_reciprocal(self, method_name, *args, **kwargs): + # Calls method_name on _reciprocal_of + o = self._reciprocal_of(self.args[0]) + return getattr(o, method_name)(*args, **kwargs) + + def _calculate_reciprocal(self, method_name, *args, **kwargs): + # If calling method_name on _reciprocal_of returns a value != None + # then return the reciprocal of that value + t = self._call_reciprocal(method_name, *args, **kwargs) + return 1/t if t is not None else t + + def _rewrite_reciprocal(self, method_name, arg): + # Special handling for rewrite functions. If reciprocal rewrite returns + # unmodified expression, then return None + t = self._call_reciprocal(method_name, arg) + if t is not None and t != self._reciprocal_of(arg): + return 1/t + + def _eval_rewrite_as_exp(self, arg, **kwargs): + return self._rewrite_reciprocal("_eval_rewrite_as_exp", arg) + + def _eval_rewrite_as_tractable(self, arg, limitvar=None, **kwargs): + return self._rewrite_reciprocal("_eval_rewrite_as_tractable", arg) + + def _eval_rewrite_as_tanh(self, arg, **kwargs): + return self._rewrite_reciprocal("_eval_rewrite_as_tanh", arg) + + def _eval_rewrite_as_coth(self, arg, **kwargs): + return self._rewrite_reciprocal("_eval_rewrite_as_coth", arg) + + def as_real_imag(self, deep = True, **hints): + return (1 / self._reciprocal_of(self.args[0])).as_real_imag(deep, **hints) + + def _eval_conjugate(self): + return self.func(self.args[0].conjugate()) + + def _eval_expand_complex(self, deep=True, **hints): + re_part, im_part = self.as_real_imag(deep=True, **hints) + return re_part + I*im_part + + def _eval_expand_trig(self, **hints): + return self._calculate_reciprocal("_eval_expand_trig", **hints) + + def _eval_as_leading_term(self, x, logx, cdir): + return (1/self._reciprocal_of(self.args[0]))._eval_as_leading_term(x, logx=logx, cdir=cdir) + + def _eval_is_extended_real(self): + return self._reciprocal_of(self.args[0]).is_extended_real + + def _eval_is_finite(self): + return (1/self._reciprocal_of(self.args[0])).is_finite + + +class csch(ReciprocalHyperbolicFunction): + r""" + ``csch(x)`` is the hyperbolic cosecant of ``x``. + + The hyperbolic cosecant function is $\frac{2}{e^x - e^{-x}}$ + + Examples + ======== + + >>> from sympy import csch + >>> from sympy.abc import x + >>> csch(x) + csch(x) + + See Also + ======== + + sinh, cosh, tanh, sech, asinh, acosh + """ + + _reciprocal_of = sinh + _is_odd = True + + def fdiff(self, argindex=1): + """ + Returns the first derivative of this function + """ + if argindex == 1: + return -coth(self.args[0]) * csch(self.args[0]) + else: + raise ArgumentIndexError(self, argindex) + + @staticmethod + @cacheit + def taylor_term(n, x, *previous_terms): + """ + Returns the next term in the Taylor series expansion + """ + if n == 0: + return 1/sympify(x) + elif n < 0 or n % 2 == 0: + return S.Zero + else: + x = sympify(x) + + B = bernoulli(n + 1) + F = factorial(n + 1) + + return 2 * (1 - 2**n) * B/F * x**n + + def _eval_rewrite_as_sin(self, arg, **kwargs): + return I / sin(I * arg, evaluate=False) + + def _eval_rewrite_as_csc(self, arg, **kwargs): + return I * csc(I * arg, evaluate=False) + + def _eval_rewrite_as_cosh(self, arg, **kwargs): + return I / cosh(arg + I * pi / 2, evaluate=False) + + def _eval_rewrite_as_sinh(self, arg, **kwargs): + return 1 / sinh(arg) + + def _eval_is_positive(self): + if self.args[0].is_extended_real: + return self.args[0].is_positive + + def _eval_is_negative(self): + if self.args[0].is_extended_real: + return self.args[0].is_negative + + +class sech(ReciprocalHyperbolicFunction): + r""" + ``sech(x)`` is the hyperbolic secant of ``x``. + + The hyperbolic secant function is $\frac{2}{e^x + e^{-x}}$ + + Examples + ======== + + >>> from sympy import sech + >>> from sympy.abc import x + >>> sech(x) + sech(x) + + See Also + ======== + + sinh, cosh, tanh, coth, csch, asinh, acosh + """ + + _reciprocal_of = cosh + _is_even = True + + def fdiff(self, argindex=1): + if argindex == 1: + return - tanh(self.args[0])*sech(self.args[0]) + else: + raise ArgumentIndexError(self, argindex) + + @staticmethod + @cacheit + def taylor_term(n, x, *previous_terms): + if n < 0 or n % 2 == 1: + return S.Zero + else: + x = sympify(x) + return euler(n) / factorial(n) * x**(n) + + def _eval_rewrite_as_cos(self, arg, **kwargs): + return 1 / cos(I * arg, evaluate=False) + + def _eval_rewrite_as_sec(self, arg, **kwargs): + return sec(I * arg, evaluate=False) + + def _eval_rewrite_as_sinh(self, arg, **kwargs): + return I / sinh(arg + I * pi /2, evaluate=False) + + def _eval_rewrite_as_cosh(self, arg, **kwargs): + return 1 / cosh(arg) + + def _eval_is_positive(self): + if self.args[0].is_extended_real: + return True + + +############################################################################### +############################# HYPERBOLIC INVERSES ############################# +############################################################################### + +class InverseHyperbolicFunction(DefinedFunction): + """Base class for inverse hyperbolic functions.""" + + pass + + +class asinh(InverseHyperbolicFunction): + """ + ``asinh(x)`` is the inverse hyperbolic sine of ``x``. + + The inverse hyperbolic sine function. + + Examples + ======== + + >>> from sympy import asinh + >>> from sympy.abc import x + >>> asinh(x).diff(x) + 1/sqrt(x**2 + 1) + >>> asinh(1) + log(1 + sqrt(2)) + + See Also + ======== + + acosh, atanh, sinh + """ + + def fdiff(self, argindex=1): + if argindex == 1: + return 1/sqrt(self.args[0]**2 + 1) + else: + raise ArgumentIndexError(self, argindex) + + @classmethod + def eval(cls, arg): + if arg.is_Number: + if arg is S.NaN: + return S.NaN + elif arg is S.Infinity: + return S.Infinity + elif arg is S.NegativeInfinity: + return S.NegativeInfinity + elif arg.is_zero: + return S.Zero + elif arg is S.One: + return log(sqrt(2) + 1) + elif arg is S.NegativeOne: + return log(sqrt(2) - 1) + elif arg.is_negative: + return -cls(-arg) + else: + if arg is S.ComplexInfinity: + return S.ComplexInfinity + + if arg.is_zero: + return S.Zero + + i_coeff = _imaginary_unit_as_coefficient(arg) + + if i_coeff is not None: + return I * asin(i_coeff) + else: + if arg.could_extract_minus_sign(): + return -cls(-arg) + + if isinstance(arg, sinh) and arg.args[0].is_number: + z = arg.args[0] + if z.is_real: + return z + r, i = match_real_imag(z) + if r is not None and i is not None: + f = floor((i + pi/2)/pi) + m = z - I*pi*f + even = f.is_even + if even is True: + return m + elif even is False: + return -m + + @staticmethod + @cacheit + def taylor_term(n, x, *previous_terms): + if n < 0 or n % 2 == 0: + return S.Zero + else: + x = sympify(x) + if len(previous_terms) >= 2 and n > 2: + p = previous_terms[-2] + return -p * (n - 2)**2/(n*(n - 1)) * x**2 + else: + k = (n - 1) // 2 + R = RisingFactorial(S.Half, k) + F = factorial(k) + return S.NegativeOne**k * R / F * x**n / n + + def _eval_as_leading_term(self, x, logx, cdir): + arg = self.args[0] + x0 = arg.subs(x, 0).cancel() + if x0.is_zero: + return arg.as_leading_term(x) + + if x0 is S.NaN: + expr = self.func(arg.as_leading_term(x)) + if expr.is_finite: + return expr + else: + return self + + # Handling branch points + if x0 in (-I, I, S.ComplexInfinity): + return self.rewrite(log)._eval_as_leading_term(x, logx=logx, cdir=cdir) + # Handling points lying on branch cuts (-I*oo, -I) U (I, I*oo) + if (1 + x0**2).is_negative: + ndir = arg.dir(x, cdir if cdir else 1) + if re(ndir).is_positive: + if im(x0).is_negative: + return -self.func(x0) - I*pi + elif re(ndir).is_negative: + if im(x0).is_positive: + return -self.func(x0) + I*pi + else: + return self.rewrite(log)._eval_as_leading_term(x, logx=logx, cdir=cdir) + return self.func(x0) + + def _eval_nseries(self, x, n, logx, cdir=0): # asinh + arg = self.args[0] + arg0 = arg.subs(x, 0) + + # Handling branch points + if arg0 in (I, -I): + return self.rewrite(log)._eval_nseries(x, n, logx=logx, cdir=cdir) + + res = super()._eval_nseries(x, n=n, logx=logx) + if arg0 is S.ComplexInfinity: + return res + + # Handling points lying on branch cuts (-I*oo, -I) U (I, I*oo) + if (1 + arg0**2).is_negative: + ndir = arg.dir(x, cdir if cdir else 1) + if re(ndir).is_positive: + if im(arg0).is_negative: + return -res - I*pi + elif re(ndir).is_negative: + if im(arg0).is_positive: + return -res + I*pi + else: + return self.rewrite(log)._eval_nseries(x, n, logx=logx, cdir=cdir) + return res + + def _eval_rewrite_as_log(self, x, **kwargs): + return log(x + sqrt(x**2 + 1)) + + _eval_rewrite_as_tractable = _eval_rewrite_as_log + + def _eval_rewrite_as_atanh(self, x, **kwargs): + return atanh(x/sqrt(1 + x**2)) + + def _eval_rewrite_as_acosh(self, x, **kwargs): + ix = I*x + return I*(sqrt(1 - ix)/sqrt(ix - 1) * acosh(ix) - pi/2) + + def _eval_rewrite_as_asin(self, x, **kwargs): + return -I * asin(I * x, evaluate=False) + + def _eval_rewrite_as_acos(self, x, **kwargs): + return I * acos(I * x, evaluate=False) - I*pi/2 + + def inverse(self, argindex=1): + """ + Returns the inverse of this function. + """ + return sinh + + def _eval_is_zero(self): + return self.args[0].is_zero + + def _eval_is_extended_real(self): + return self.args[0].is_extended_real + + def _eval_is_finite(self): + return self.args[0].is_finite + + +class acosh(InverseHyperbolicFunction): + """ + ``acosh(x)`` is the inverse hyperbolic cosine of ``x``. + + The inverse hyperbolic cosine function. + + Examples + ======== + + >>> from sympy import acosh + >>> from sympy.abc import x + >>> acosh(x).diff(x) + 1/(sqrt(x - 1)*sqrt(x + 1)) + >>> acosh(1) + 0 + + See Also + ======== + + asinh, atanh, cosh + """ + + def fdiff(self, argindex=1): + if argindex == 1: + arg = self.args[0] + return 1/(sqrt(arg - 1)*sqrt(arg + 1)) + else: + raise ArgumentIndexError(self, argindex) + + @classmethod + def eval(cls, arg): + if arg.is_Number: + if arg is S.NaN: + return S.NaN + elif arg is S.Infinity: + return S.Infinity + elif arg is S.NegativeInfinity: + return S.Infinity + elif arg.is_zero: + return pi*I / 2 + elif arg is S.One: + return S.Zero + elif arg is S.NegativeOne: + return pi*I + + if arg.is_number: + cst_table = _acosh_table() + + if arg in cst_table: + if arg.is_extended_real: + return cst_table[arg]*I + return cst_table[arg] + + if arg is S.ComplexInfinity: + return S.ComplexInfinity + if arg == I*S.Infinity: + return S.Infinity + I*pi/2 + if arg == -I*S.Infinity: + return S.Infinity - I*pi/2 + + if arg.is_zero: + return pi*I*S.Half + + if isinstance(arg, cosh) and arg.args[0].is_number: + z = arg.args[0] + if z.is_real: + return Abs(z) + r, i = match_real_imag(z) + if r is not None and i is not None: + f = floor(i/pi) + m = z - I*pi*f + even = f.is_even + if even is True: + if r.is_nonnegative: + return m + elif r.is_negative: + return -m + elif even is False: + m -= I*pi + if r.is_nonpositive: + return -m + elif r.is_positive: + return m + + @staticmethod + @cacheit + def taylor_term(n, x, *previous_terms): + if n == 0: + return I*pi/2 + elif n < 0 or n % 2 == 0: + return S.Zero + else: + x = sympify(x) + if len(previous_terms) >= 2 and n > 2: + p = previous_terms[-2] + return p * (n - 2)**2/(n*(n - 1)) * x**2 + else: + k = (n - 1) // 2 + R = RisingFactorial(S.Half, k) + F = factorial(k) + return -R / F * I * x**n / n + + def _eval_as_leading_term(self, x, logx, cdir): + arg = self.args[0] + x0 = arg.subs(x, 0).cancel() + # Handling branch points + if x0 in (-S.One, S.Zero, S.One, S.ComplexInfinity): + return self.rewrite(log)._eval_as_leading_term(x, logx=logx, cdir=cdir) + + if x0 is S.NaN: + expr = self.func(arg.as_leading_term(x)) + if expr.is_finite: + return expr + else: + return self + + # Handling points lying on branch cuts (-oo, 1) + if (x0 - 1).is_negative: + ndir = arg.dir(x, cdir if cdir else 1) + if im(ndir).is_negative: + if (x0 + 1).is_negative: + return self.func(x0) - 2*I*pi + return -self.func(x0) + elif not im(ndir).is_positive: + return self.rewrite(log)._eval_as_leading_term(x, logx=logx, cdir=cdir) + return self.func(x0) + + def _eval_nseries(self, x, n, logx, cdir=0): # acosh + arg = self.args[0] + arg0 = arg.subs(x, 0) + + # Handling branch points + if arg0 in (S.One, S.NegativeOne): + return self.rewrite(log)._eval_nseries(x, n, logx=logx, cdir=cdir) + + res = super()._eval_nseries(x, n=n, logx=logx) + if arg0 is S.ComplexInfinity: + return res + + # Handling points lying on branch cuts (-oo, 1) + if (arg0 - 1).is_negative: + ndir = arg.dir(x, cdir if cdir else 1) + if im(ndir).is_negative: + if (arg0 + 1).is_negative: + return res - 2*I*pi + return -res + elif not im(ndir).is_positive: + return self.rewrite(log)._eval_nseries(x, n, logx=logx, cdir=cdir) + return res + + def _eval_rewrite_as_log(self, x, **kwargs): + return log(x + sqrt(x + 1) * sqrt(x - 1)) + + _eval_rewrite_as_tractable = _eval_rewrite_as_log + + def _eval_rewrite_as_acos(self, x, **kwargs): + return sqrt(x - 1)/sqrt(1 - x) * acos(x) + + def _eval_rewrite_as_asin(self, x, **kwargs): + return sqrt(x - 1)/sqrt(1 - x) * (pi/2 - asin(x)) + + def _eval_rewrite_as_asinh(self, x, **kwargs): + return sqrt(x - 1)/sqrt(1 - x) * (pi/2 + I*asinh(I*x, evaluate=False)) + + def _eval_rewrite_as_atanh(self, x, **kwargs): + sxm1 = sqrt(x - 1) + s1mx = sqrt(1 - x) + sx2m1 = sqrt(x**2 - 1) + return (pi/2*sxm1/s1mx*(1 - x * sqrt(1/x**2)) + + sxm1*sqrt(x + 1)/sx2m1 * atanh(sx2m1/x)) + + def inverse(self, argindex=1): + """ + Returns the inverse of this function. + """ + return cosh + + def _eval_is_zero(self): + if (self.args[0] - 1).is_zero: + return True + + def _eval_is_extended_real(self): + return fuzzy_and([self.args[0].is_extended_real, (self.args[0] - 1).is_extended_nonnegative]) + + def _eval_is_finite(self): + return self.args[0].is_finite + + +class atanh(InverseHyperbolicFunction): + """ + ``atanh(x)`` is the inverse hyperbolic tangent of ``x``. + + The inverse hyperbolic tangent function. + + Examples + ======== + + >>> from sympy import atanh + >>> from sympy.abc import x + >>> atanh(x).diff(x) + 1/(1 - x**2) + + See Also + ======== + + asinh, acosh, tanh + """ + + def fdiff(self, argindex=1): + if argindex == 1: + return 1/(1 - self.args[0]**2) + else: + raise ArgumentIndexError(self, argindex) + + @classmethod + def eval(cls, arg): + if arg.is_Number: + if arg is S.NaN: + return S.NaN + elif arg.is_zero: + return S.Zero + elif arg is S.One: + return S.Infinity + elif arg is S.NegativeOne: + return S.NegativeInfinity + elif arg is S.Infinity: + return -I * atan(arg) + elif arg is S.NegativeInfinity: + return I * atan(-arg) + elif arg.is_negative: + return -cls(-arg) + else: + if arg is S.ComplexInfinity: + from sympy.calculus.accumulationbounds import AccumBounds + return I*AccumBounds(-pi/2, pi/2) + + i_coeff = _imaginary_unit_as_coefficient(arg) + + if i_coeff is not None: + return I * atan(i_coeff) + else: + if arg.could_extract_minus_sign(): + return -cls(-arg) + + if arg.is_zero: + return S.Zero + + if isinstance(arg, tanh) and arg.args[0].is_number: + z = arg.args[0] + if z.is_real: + return z + r, i = match_real_imag(z) + if r is not None and i is not None: + f = floor(2*i/pi) + even = f.is_even + m = z - I*f*pi/2 + if even is True: + return m + elif even is False: + return m - I*pi/2 + + @staticmethod + @cacheit + def taylor_term(n, x, *previous_terms): + if n < 0 or n % 2 == 0: + return S.Zero + else: + x = sympify(x) + return x**n / n + + def _eval_as_leading_term(self, x, logx, cdir): + arg = self.args[0] + x0 = arg.subs(x, 0).cancel() + if x0.is_zero: + return arg.as_leading_term(x) + if x0 is S.NaN: + expr = self.func(arg.as_leading_term(x)) + if expr.is_finite: + return expr + else: + return self + + # Handling branch points + if x0 in (-S.One, S.One, S.ComplexInfinity): + return self.rewrite(log)._eval_as_leading_term(x, logx=logx, cdir=cdir) + # Handling points lying on branch cuts (-oo, -1] U [1, oo) + if (1 - x0**2).is_negative: + ndir = arg.dir(x, cdir if cdir else 1) + if im(ndir).is_negative: + if x0.is_negative: + return self.func(x0) - I*pi + elif im(ndir).is_positive: + if x0.is_positive: + return self.func(x0) + I*pi + else: + return self.rewrite(log)._eval_as_leading_term(x, logx=logx, cdir=cdir) + return self.func(x0) + + def _eval_nseries(self, x, n, logx, cdir=0): # atanh + arg = self.args[0] + arg0 = arg.subs(x, 0) + + # Handling branch points + if arg0 in (S.One, S.NegativeOne): + return self.rewrite(log)._eval_nseries(x, n, logx=logx, cdir=cdir) + + res = super()._eval_nseries(x, n=n, logx=logx) + if arg0 is S.ComplexInfinity: + return res + + # Handling points lying on branch cuts (-oo, -1] U [1, oo) + if (1 - arg0**2).is_negative: + ndir = arg.dir(x, cdir if cdir else 1) + if im(ndir).is_negative: + if arg0.is_negative: + return res - I*pi + elif im(ndir).is_positive: + if arg0.is_positive: + return res + I*pi + else: + return self.rewrite(log)._eval_nseries(x, n, logx=logx, cdir=cdir) + return res + + def _eval_rewrite_as_log(self, x, **kwargs): + return (log(1 + x) - log(1 - x)) / 2 + + _eval_rewrite_as_tractable = _eval_rewrite_as_log + + def _eval_rewrite_as_asinh(self, x, **kwargs): + f = sqrt(1/(x**2 - 1)) + return (pi*x/(2*sqrt(-x**2)) - + sqrt(-x)*sqrt(1 - x**2)/sqrt(x)*f*asinh(f)) + + def _eval_is_zero(self): + if self.args[0].is_zero: + return True + + def _eval_is_extended_real(self): + return fuzzy_and([self.args[0].is_extended_real, (1 - self.args[0]).is_nonnegative, (self.args[0] + 1).is_nonnegative]) + + def _eval_is_finite(self): + return fuzzy_not(fuzzy_or([(self.args[0] - 1).is_zero, (self.args[0] + 1).is_zero])) + + def _eval_is_imaginary(self): + return self.args[0].is_imaginary + + def inverse(self, argindex=1): + """ + Returns the inverse of this function. + """ + return tanh + + +class acoth(InverseHyperbolicFunction): + """ + ``acoth(x)`` is the inverse hyperbolic cotangent of ``x``. + + The inverse hyperbolic cotangent function. + + Examples + ======== + + >>> from sympy import acoth + >>> from sympy.abc import x + >>> acoth(x).diff(x) + 1/(1 - x**2) + + See Also + ======== + + asinh, acosh, coth + """ + + def fdiff(self, argindex=1): + if argindex == 1: + return 1/(1 - self.args[0]**2) + else: + raise ArgumentIndexError(self, argindex) + + @classmethod + def eval(cls, arg): + if arg.is_Number: + if arg is S.NaN: + return S.NaN + elif arg is S.Infinity: + return S.Zero + elif arg is S.NegativeInfinity: + return S.Zero + elif arg.is_zero: + return pi*I / 2 + elif arg is S.One: + return S.Infinity + elif arg is S.NegativeOne: + return S.NegativeInfinity + elif arg.is_negative: + return -cls(-arg) + else: + if arg is S.ComplexInfinity: + return S.Zero + + i_coeff = _imaginary_unit_as_coefficient(arg) + + if i_coeff is not None: + return -I * acot(i_coeff) + else: + if arg.could_extract_minus_sign(): + return -cls(-arg) + + if arg.is_zero: + return pi*I*S.Half + + @staticmethod + @cacheit + def taylor_term(n, x, *previous_terms): + if n == 0: + return -I*pi/2 + elif n < 0 or n % 2 == 0: + return S.Zero + else: + x = sympify(x) + return x**n / n + + def _eval_as_leading_term(self, x, logx, cdir): + arg = self.args[0] + x0 = arg.subs(x, 0).cancel() + if x0 is S.ComplexInfinity: + return (1/arg).as_leading_term(x) + if x0 is S.NaN: + expr = self.func(arg.as_leading_term(x)) + if expr.is_finite: + return expr + else: + return self + + # Handling branch points + if x0 in (-S.One, S.One, S.Zero): + return self.rewrite(log)._eval_as_leading_term(x, logx=logx, cdir=cdir) + # Handling points lying on branch cuts [-1, 1] + if x0.is_real and (1 - x0**2).is_positive: + ndir = arg.dir(x, cdir if cdir else 1) + if im(ndir).is_negative: + if x0.is_positive: + return self.func(x0) + I*pi + elif im(ndir).is_positive: + if x0.is_negative: + return self.func(x0) - I*pi + else: + return self.rewrite(log)._eval_as_leading_term(x, logx=logx, cdir=cdir) + return self.func(x0) + + def _eval_nseries(self, x, n, logx, cdir=0): # acoth + arg = self.args[0] + arg0 = arg.subs(x, 0) + + # Handling branch points + if arg0 in (S.One, S.NegativeOne): + return self.rewrite(log)._eval_nseries(x, n, logx=logx, cdir=cdir) + + res = super()._eval_nseries(x, n=n, logx=logx) + if arg0 is S.ComplexInfinity: + return res + + # Handling points lying on branch cuts [-1, 1] + if arg0.is_real and (1 - arg0**2).is_positive: + ndir = arg.dir(x, cdir if cdir else 1) + if im(ndir).is_negative: + if arg0.is_positive: + return res + I*pi + elif im(ndir).is_positive: + if arg0.is_negative: + return res - I*pi + else: + return self.rewrite(log)._eval_nseries(x, n, logx=logx, cdir=cdir) + return res + + def _eval_rewrite_as_log(self, x, **kwargs): + return (log(1 + 1/x) - log(1 - 1/x)) / 2 + + _eval_rewrite_as_tractable = _eval_rewrite_as_log + + def _eval_rewrite_as_atanh(self, x, **kwargs): + return atanh(1/x) + + def _eval_rewrite_as_asinh(self, x, **kwargs): + return (pi*I/2*(sqrt((x - 1)/x)*sqrt(x/(x - 1)) - sqrt(1 + 1/x)*sqrt(x/(x + 1))) + + x*sqrt(1/x**2)*asinh(sqrt(1/(x**2 - 1)))) + + def inverse(self, argindex=1): + """ + Returns the inverse of this function. + """ + return coth + + def _eval_is_extended_real(self): + return fuzzy_and([self.args[0].is_extended_real, fuzzy_or([(self.args[0] - 1).is_extended_nonnegative, (self.args[0] + 1).is_extended_nonpositive])]) + + def _eval_is_finite(self): + return fuzzy_not(fuzzy_or([(self.args[0] - 1).is_zero, (self.args[0] + 1).is_zero])) + + +class asech(InverseHyperbolicFunction): + """ + ``asech(x)`` is the inverse hyperbolic secant of ``x``. + + The inverse hyperbolic secant function. + + Examples + ======== + + >>> from sympy import asech, sqrt, S + >>> from sympy.abc import x + >>> asech(x).diff(x) + -1/(x*sqrt(1 - x**2)) + >>> asech(1).diff(x) + 0 + >>> asech(1) + 0 + >>> asech(S(2)) + I*pi/3 + >>> asech(-sqrt(2)) + 3*I*pi/4 + >>> asech((sqrt(6) - sqrt(2))) + I*pi/12 + + See Also + ======== + + asinh, atanh, cosh, acoth + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Hyperbolic_function + .. [2] https://dlmf.nist.gov/4.37 + .. [3] https://functions.wolfram.com/ElementaryFunctions/ArcSech/ + + """ + + def fdiff(self, argindex=1): + if argindex == 1: + z = self.args[0] + return -1/(z*sqrt(1 - z**2)) + else: + raise ArgumentIndexError(self, argindex) + + @classmethod + def eval(cls, arg): + if arg.is_Number: + if arg is S.NaN: + return S.NaN + elif arg is S.Infinity: + return pi*I / 2 + elif arg is S.NegativeInfinity: + return pi*I / 2 + elif arg.is_zero: + return S.Infinity + elif arg is S.One: + return S.Zero + elif arg is S.NegativeOne: + return pi*I + + if arg.is_number: + cst_table = _asech_table() + + if arg in cst_table: + if arg.is_extended_real: + return cst_table[arg]*I + return cst_table[arg] + + if arg is S.ComplexInfinity: + from sympy.calculus.accumulationbounds import AccumBounds + return I*AccumBounds(-pi/2, pi/2) + + if arg.is_zero: + return S.Infinity + + @staticmethod + @cacheit + def taylor_term(n, x, *previous_terms): + if n == 0: + return log(2 / x) + elif n < 0 or n % 2 == 1: + return S.Zero + else: + x = sympify(x) + if len(previous_terms) > 2 and n > 2: + p = previous_terms[-2] + return p * ((n - 1)*(n-2)) * x**2/(4 * (n//2)**2) + else: + k = n // 2 + R = RisingFactorial(S.Half, k) * n + F = factorial(k) * n // 2 * n // 2 + return -1 * R / F * x**n / 4 + + def _eval_as_leading_term(self, x, logx, cdir): + arg = self.args[0] + x0 = arg.subs(x, 0).cancel() + # Handling branch points + if x0 in (-S.One, S.Zero, S.One, S.ComplexInfinity): + return self.rewrite(log)._eval_as_leading_term(x, logx=logx, cdir=cdir) + + if x0 is S.NaN: + expr = self.func(arg.as_leading_term(x)) + if expr.is_finite: + return expr + else: + return self + + # Handling points lying on branch cuts (-oo, 0] U (1, oo) + if x0.is_negative or (1 - x0).is_negative: + ndir = arg.dir(x, cdir if cdir else 1) + if im(ndir).is_positive: + if x0.is_positive or (x0 + 1).is_negative: + return -self.func(x0) + return self.func(x0) - 2*I*pi + elif not im(ndir).is_negative: + return self.rewrite(log)._eval_as_leading_term(x, logx=logx, cdir=cdir) + return self.func(x0) + + def _eval_nseries(self, x, n, logx, cdir=0): # asech + from sympy.series.order import O + arg = self.args[0] + arg0 = arg.subs(x, 0) + + # Handling branch points + if arg0 is S.One: + t = Dummy('t', positive=True) + ser = asech(S.One - t**2).rewrite(log).nseries(t, 0, 2*n) + arg1 = S.One - self.args[0] + f = arg1.as_leading_term(x) + g = (arg1 - f)/ f + if not g.is_meromorphic(x, 0): # cannot be expanded + return O(1) if n == 0 else O(sqrt(x)) + res1 = sqrt(S.One + g)._eval_nseries(x, n=n, logx=logx) + res = (res1.removeO()*sqrt(f)).expand() + return ser.removeO().subs(t, res).expand().powsimp() + O(x**n, x) + + if arg0 is S.NegativeOne: + t = Dummy('t', positive=True) + ser = asech(S.NegativeOne + t**2).rewrite(log).nseries(t, 0, 2*n) + arg1 = S.One + self.args[0] + f = arg1.as_leading_term(x) + g = (arg1 - f)/ f + if not g.is_meromorphic(x, 0): # cannot be expanded + return O(1) if n == 0 else I*pi + O(sqrt(x)) + res1 = sqrt(S.One + g)._eval_nseries(x, n=n, logx=logx) + res = (res1.removeO()*sqrt(f)).expand() + return ser.removeO().subs(t, res).expand().powsimp() + O(x**n, x) + + res = super()._eval_nseries(x, n=n, logx=logx) + if arg0 is S.ComplexInfinity: + return res + + # Handling points lying on branch cuts (-oo, 0] U (1, oo) + if arg0.is_negative or (1 - arg0).is_negative: + ndir = arg.dir(x, cdir if cdir else 1) + if im(ndir).is_positive: + if arg0.is_positive or (arg0 + 1).is_negative: + return -res + return res - 2*I*pi + elif not im(ndir).is_negative: + return self.rewrite(log)._eval_nseries(x, n, logx=logx, cdir=cdir) + return res + + def inverse(self, argindex=1): + """ + Returns the inverse of this function. + """ + return sech + + def _eval_rewrite_as_log(self, arg, **kwargs): + return log(1/arg + sqrt(1/arg - 1) * sqrt(1/arg + 1)) + + _eval_rewrite_as_tractable = _eval_rewrite_as_log + + def _eval_rewrite_as_acosh(self, arg, **kwargs): + return acosh(1/arg) + + def _eval_rewrite_as_asinh(self, arg, **kwargs): + return sqrt(1/arg - 1)/sqrt(1 - 1/arg)*(I*asinh(I/arg, evaluate=False) + + pi*S.Half) + + def _eval_rewrite_as_atanh(self, x, **kwargs): + return (I*pi*(1 - sqrt(x)*sqrt(1/x) - I/2*sqrt(-x)/sqrt(x) - I/2*sqrt(x**2)/sqrt(-x**2)) + + sqrt(1/(x + 1))*sqrt(x + 1)*atanh(sqrt(1 - x**2))) + + def _eval_rewrite_as_acsch(self, x, **kwargs): + return sqrt(1/x - 1)/sqrt(1 - 1/x)*(pi/2 - I*acsch(I*x, evaluate=False)) + + def _eval_is_extended_real(self): + return fuzzy_and([self.args[0].is_extended_real, self.args[0].is_nonnegative, (1 - self.args[0]).is_nonnegative]) + + def _eval_is_finite(self): + return fuzzy_not(self.args[0].is_zero) + + +class acsch(InverseHyperbolicFunction): + """ + ``acsch(x)`` is the inverse hyperbolic cosecant of ``x``. + + The inverse hyperbolic cosecant function. + + Examples + ======== + + >>> from sympy import acsch, sqrt, I + >>> from sympy.abc import x + >>> acsch(x).diff(x) + -1/(x**2*sqrt(1 + x**(-2))) + >>> acsch(1).diff(x) + 0 + >>> acsch(1) + log(1 + sqrt(2)) + >>> acsch(I) + -I*pi/2 + >>> acsch(-2*I) + I*pi/6 + >>> acsch(I*(sqrt(6) - sqrt(2))) + -5*I*pi/12 + + See Also + ======== + + asinh + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Hyperbolic_function + .. [2] https://dlmf.nist.gov/4.37 + .. [3] https://functions.wolfram.com/ElementaryFunctions/ArcCsch/ + + """ + + def fdiff(self, argindex=1): + if argindex == 1: + z = self.args[0] + return -1/(z**2*sqrt(1 + 1/z**2)) + else: + raise ArgumentIndexError(self, argindex) + + @classmethod + def eval(cls, arg): + if arg.is_Number: + if arg is S.NaN: + return S.NaN + elif arg is S.Infinity: + return S.Zero + elif arg is S.NegativeInfinity: + return S.Zero + elif arg.is_zero: + return S.ComplexInfinity + elif arg is S.One: + return log(1 + sqrt(2)) + elif arg is S.NegativeOne: + return - log(1 + sqrt(2)) + + if arg.is_number: + cst_table = _acsch_table() + + if arg in cst_table: + return cst_table[arg]*I + + if arg is S.ComplexInfinity: + return S.Zero + + if arg.is_infinite: + return S.Zero + + if arg.is_zero: + return S.ComplexInfinity + + if arg.could_extract_minus_sign(): + return -cls(-arg) + + @staticmethod + @cacheit + def taylor_term(n, x, *previous_terms): + if n == 0: + return log(2 / x) + elif n < 0 or n % 2 == 1: + return S.Zero + else: + x = sympify(x) + if len(previous_terms) > 2 and n > 2: + p = previous_terms[-2] + return -p * ((n - 1)*(n-2)) * x**2/(4 * (n//2)**2) + else: + k = n // 2 + R = RisingFactorial(S.Half, k) * n + F = factorial(k) * n // 2 * n // 2 + return S.NegativeOne**(k +1) * R / F * x**n / 4 + + def _eval_as_leading_term(self, x, logx, cdir): + arg = self.args[0] + x0 = arg.subs(x, 0).cancel() + # Handling branch points + if x0 in (-I, I, S.Zero): + return self.rewrite(log)._eval_as_leading_term(x, logx=logx, cdir=cdir) + + if x0 is S.NaN: + expr = self.func(arg.as_leading_term(x)) + if expr.is_finite: + return expr + else: + return self + + if x0 is S.ComplexInfinity: + return (1/arg).as_leading_term(x) + # Handling points lying on branch cuts (-I, I) + if x0.is_imaginary and (1 + x0**2).is_positive: + ndir = arg.dir(x, cdir if cdir else 1) + if re(ndir).is_positive: + if im(x0).is_positive: + return -self.func(x0) - I*pi + elif re(ndir).is_negative: + if im(x0).is_negative: + return -self.func(x0) + I*pi + else: + return self.rewrite(log)._eval_as_leading_term(x, logx=logx, cdir=cdir) + return self.func(x0) + + def _eval_nseries(self, x, n, logx, cdir=0): # acsch + from sympy.series.order import O + arg = self.args[0] + arg0 = arg.subs(x, 0) + + # Handling branch points + if arg0 is I: + t = Dummy('t', positive=True) + ser = acsch(I + t**2).rewrite(log).nseries(t, 0, 2*n) + arg1 = -I + self.args[0] + f = arg1.as_leading_term(x) + g = (arg1 - f)/ f + if not g.is_meromorphic(x, 0): # cannot be expanded + return O(1) if n == 0 else -I*pi/2 + O(sqrt(x)) + res1 = sqrt(S.One + g)._eval_nseries(x, n=n, logx=logx) + res = (res1.removeO()*sqrt(f)).expand() + res = ser.removeO().subs(t, res).expand().powsimp() + O(x**n, x) + return res + + if arg0 == S.NegativeOne*I: + t = Dummy('t', positive=True) + ser = acsch(-I + t**2).rewrite(log).nseries(t, 0, 2*n) + arg1 = I + self.args[0] + f = arg1.as_leading_term(x) + g = (arg1 - f)/ f + if not g.is_meromorphic(x, 0): # cannot be expanded + return O(1) if n == 0 else I*pi/2 + O(sqrt(x)) + res1 = sqrt(S.One + g)._eval_nseries(x, n=n, logx=logx) + res = (res1.removeO()*sqrt(f)).expand() + return ser.removeO().subs(t, res).expand().powsimp() + O(x**n, x) + + res = super()._eval_nseries(x, n=n, logx=logx) + if arg0 is S.ComplexInfinity: + return res + + # Handling points lying on branch cuts (-I, I) + if arg0.is_imaginary and (1 + arg0**2).is_positive: + ndir = self.args[0].dir(x, cdir if cdir else 1) + if re(ndir).is_positive: + if im(arg0).is_positive: + return -res - I*pi + elif re(ndir).is_negative: + if im(arg0).is_negative: + return -res + I*pi + else: + return self.rewrite(log)._eval_nseries(x, n, logx=logx, cdir=cdir) + return res + + def inverse(self, argindex=1): + """ + Returns the inverse of this function. + """ + return csch + + def _eval_rewrite_as_log(self, arg, **kwargs): + return log(1/arg + sqrt(1/arg**2 + 1)) + + _eval_rewrite_as_tractable = _eval_rewrite_as_log + + def _eval_rewrite_as_asinh(self, arg, **kwargs): + return asinh(1/arg) + + def _eval_rewrite_as_acosh(self, arg, **kwargs): + return I*(sqrt(1 - I/arg)/sqrt(I/arg - 1)* + acosh(I/arg, evaluate=False) - pi*S.Half) + + def _eval_rewrite_as_atanh(self, arg, **kwargs): + arg2 = arg**2 + arg2p1 = arg2 + 1 + return sqrt(-arg2)/arg*(pi*S.Half - + sqrt(-arg2p1**2)/arg2p1*atanh(sqrt(arg2p1))) + + def _eval_is_zero(self): + return self.args[0].is_infinite + + def _eval_is_extended_real(self): + return self.args[0].is_extended_real + + def _eval_is_finite(self): + return fuzzy_not(self.args[0].is_zero) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/integers.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/integers.py new file mode 100644 index 0000000000000000000000000000000000000000..d0b58d32399144c39133855475d70c01b70b1a3f --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/integers.py @@ -0,0 +1,710 @@ +from __future__ import annotations + +from sympy.core.basic import Basic +from sympy.core.expr import Expr + +from sympy.core import Add, S +from sympy.core.evalf import get_integer_part, PrecisionExhausted +from sympy.core.function import DefinedFunction +from sympy.core.logic import fuzzy_or, fuzzy_and +from sympy.core.numbers import Integer, int_valued +from sympy.core.relational import Gt, Lt, Ge, Le, Relational, is_eq, is_le, is_lt +from sympy.core.sympify import _sympify +from sympy.functions.elementary.complexes import im, re +from sympy.multipledispatch import dispatch + +############################################################################### +######################### FLOOR and CEILING FUNCTIONS ######################### +############################################################################### + + +class RoundFunction(DefinedFunction): + """Abstract base class for rounding functions.""" + + args: tuple[Expr] + + @classmethod + def eval(cls, arg): + if (v := cls._eval_number(arg)) is not None: + return v + if (v := cls._eval_const_number(arg)) is not None: + return v + + if arg.is_integer or arg.is_finite is False: + return arg + if arg.is_imaginary or (S.ImaginaryUnit*arg).is_real: + i = im(arg) + if not i.has(S.ImaginaryUnit): + return cls(i)*S.ImaginaryUnit + return cls(arg, evaluate=False) + + # Integral, numerical, symbolic part + ipart = npart = spart = S.Zero + + # Extract integral (or complex integral) terms + intof = lambda x: int(x) if int_valued(x) else ( + x if x.is_integer else None) + for t in Add.make_args(arg): + if t.is_imaginary and (i := intof(im(t))) is not None: + ipart += i*S.ImaginaryUnit + elif (i := intof(t)) is not None: + ipart += i + elif t.is_number: + npart += t + else: + spart += t + + if not (npart or spart): + return ipart + + # Evaluate npart numerically if independent of spart + if npart and ( + not spart or + npart.is_real and (spart.is_imaginary or (S.ImaginaryUnit*spart).is_real) or + npart.is_imaginary and spart.is_real): + try: + r, i = get_integer_part( + npart, cls._dir, {}, return_ints=True) + ipart += Integer(r) + Integer(i)*S.ImaginaryUnit + npart = S.Zero + except (PrecisionExhausted, NotImplementedError): + pass + + spart += npart + if not spart: + return ipart + elif spart.is_imaginary or (S.ImaginaryUnit*spart).is_real: + return ipart + cls(im(spart), evaluate=False)*S.ImaginaryUnit + elif isinstance(spart, (floor, ceiling)): + return ipart + spart + else: + return ipart + cls(spart, evaluate=False) + + @classmethod + def _eval_number(cls, arg): + raise NotImplementedError() + + def _eval_is_finite(self): + return self.args[0].is_finite + + def _eval_is_real(self): + return self.args[0].is_real + + def _eval_is_integer(self): + return self.args[0].is_real + + +class floor(RoundFunction): + """ + Floor is a univariate function which returns the largest integer + value not greater than its argument. This implementation + generalizes floor to complex numbers by taking the floor of the + real and imaginary parts separately. + + Examples + ======== + + >>> from sympy import floor, E, I, S, Float, Rational + >>> floor(17) + 17 + >>> floor(Rational(23, 10)) + 2 + >>> floor(2*E) + 5 + >>> floor(-Float(0.567)) + -1 + >>> floor(-I/2) + -I + >>> floor(S(5)/2 + 5*I/2) + 2 + 2*I + + See Also + ======== + + sympy.functions.elementary.integers.ceiling + + References + ========== + + .. [1] "Concrete mathematics" by Graham, pp. 87 + .. [2] https://mathworld.wolfram.com/FloorFunction.html + + """ + _dir = -1 + + @classmethod + def _eval_number(cls, arg): + if arg.is_Number: + return arg.floor() + if any(isinstance(i, j) + for i in (arg, -arg) for j in (floor, ceiling)): + return arg + if arg.is_NumberSymbol: + return arg.approximation_interval(Integer)[0] + + @classmethod + def _eval_const_number(cls, arg): + if arg.is_real: + if arg.is_zero: + return S.Zero + if arg.is_positive: + num, den = arg.as_numer_denom() + s = den.is_negative + if s is None: + return None + if s: + num, den = -num, -den + # 0 <= num/den < 1 -> 0 + if is_lt(num, den): + return S.Zero + # 1 <= num/den < 2 -> 1 + if fuzzy_and([is_le(den, num), is_lt(num, 2*den)]): + return S.One + if arg.is_negative: + num, den = arg.as_numer_denom() + s = den.is_negative + if s is None: + return None + if s: + num, den = -num, -den + # -1 <= num/den < 0 -> -1 + if is_le(-den, num): + return S.NegativeOne + # -2 <= num/den < -1 -> -2 + if fuzzy_and([is_le(-2*den, num), is_lt(num, -den)]): + return Integer(-2) + + def _eval_as_leading_term(self, x, logx, cdir): + from sympy.calculus.accumulationbounds import AccumBounds + arg = self.args[0] + arg0 = arg.subs(x, 0) + r = self.subs(x, 0) + if arg0 is S.NaN or isinstance(arg0, AccumBounds): + arg0 = arg.limit(x, 0, dir='-' if re(cdir).is_negative else '+') + r = floor(arg0) + if arg0.is_finite: + if arg0 == r: + ndir = arg.dir(x, cdir=cdir if cdir != 0 else 1) + if ndir.is_negative: + return r - 1 + elif ndir.is_positive: + return r + else: + raise NotImplementedError("Not sure of sign of %s" % ndir) + else: + return r + return arg.as_leading_term(x, logx=logx, cdir=cdir) + + def _eval_nseries(self, x, n, logx, cdir=0): + arg = self.args[0] + arg0 = arg.subs(x, 0) + r = self.subs(x, 0) + if arg0 is S.NaN: + arg0 = arg.limit(x, 0, dir='-' if re(cdir).is_negative else '+') + r = floor(arg0) + if arg0.is_infinite: + from sympy.calculus.accumulationbounds import AccumBounds + from sympy.series.order import Order + s = arg._eval_nseries(x, n, logx, cdir) + o = Order(1, (x, 0)) if n <= 0 else AccumBounds(-1, 0) + return s + o + if arg0 == r: + ndir = arg.dir(x, cdir=cdir if cdir != 0 else 1) + if ndir.is_negative: + return r - 1 + elif ndir.is_positive: + return r + else: + raise NotImplementedError("Not sure of sign of %s" % ndir) + else: + return r + + def _eval_is_negative(self): + return self.args[0].is_negative + + def _eval_is_nonnegative(self): + return self.args[0].is_nonnegative + + def _eval_rewrite_as_ceiling(self, arg, **kwargs): + return -ceiling(-arg) + + def _eval_rewrite_as_frac(self, arg, **kwargs): + return arg - frac(arg) + + def __le__(self, other): + other = S(other) + if self.args[0].is_real: + if other.is_integer: + return self.args[0] < other + 1 + if other.is_number and other.is_real: + return self.args[0] < ceiling(other) + if self.args[0] == other and other.is_real: + return S.true + if other is S.Infinity and self.is_finite: + return S.true + + return Le(self, other, evaluate=False) + + def __ge__(self, other): + other = S(other) + if self.args[0].is_real: + if other.is_integer: + return self.args[0] >= other + if other.is_number and other.is_real: + return self.args[0] >= ceiling(other) + if self.args[0] == other and other.is_real and other.is_noninteger: + return S.false + if other is S.NegativeInfinity and self.is_finite: + return S.true + + return Ge(self, other, evaluate=False) + + def __gt__(self, other): + other = S(other) + if self.args[0].is_real: + if other.is_integer: + return self.args[0] >= other + 1 + if other.is_number and other.is_real: + return self.args[0] >= ceiling(other) + if self.args[0] == other and other.is_real: + return S.false + if other is S.NegativeInfinity and self.is_finite: + return S.true + + return Gt(self, other, evaluate=False) + + def __lt__(self, other): + other = S(other) + if self.args[0].is_real: + if other.is_integer: + return self.args[0] < other + if other.is_number and other.is_real: + return self.args[0] < ceiling(other) + if self.args[0] == other and other.is_real and other.is_noninteger: + return S.true + if other is S.Infinity and self.is_finite: + return S.true + + return Lt(self, other, evaluate=False) + + +@dispatch(floor, Expr) +def _eval_is_eq(lhs, rhs): # noqa:F811 + return is_eq(lhs.rewrite(ceiling), rhs) or \ + is_eq(lhs.rewrite(frac),rhs) + + +class ceiling(RoundFunction): + """ + Ceiling is a univariate function which returns the smallest integer + value not less than its argument. This implementation + generalizes ceiling to complex numbers by taking the ceiling of the + real and imaginary parts separately. + + Examples + ======== + + >>> from sympy import ceiling, E, I, S, Float, Rational + >>> ceiling(17) + 17 + >>> ceiling(Rational(23, 10)) + 3 + >>> ceiling(2*E) + 6 + >>> ceiling(-Float(0.567)) + 0 + >>> ceiling(I/2) + I + >>> ceiling(S(5)/2 + 5*I/2) + 3 + 3*I + + See Also + ======== + + sympy.functions.elementary.integers.floor + + References + ========== + + .. [1] "Concrete mathematics" by Graham, pp. 87 + .. [2] https://mathworld.wolfram.com/CeilingFunction.html + + """ + _dir = 1 + + @classmethod + def _eval_number(cls, arg): + if arg.is_Number: + return arg.ceiling() + if any(isinstance(i, j) + for i in (arg, -arg) for j in (floor, ceiling)): + return arg + if arg.is_NumberSymbol: + return arg.approximation_interval(Integer)[1] + + @classmethod + def _eval_const_number(cls, arg): + if arg.is_real: + if arg.is_zero: + return S.Zero + if arg.is_positive: + num, den = arg.as_numer_denom() + s = den.is_negative + if s is None: + return None + if s: + num, den = -num, -den + # 0 < num/den <= 1 -> 1 + if is_le(num, den): + return S.One + # 1 < num/den <= 2 -> 2 + if fuzzy_and([is_lt(den, num), is_le(num, 2*den)]): + return Integer(2) + if arg.is_negative: + num, den = arg.as_numer_denom() + s = den.is_negative + if s is None: + return None + if s: + num, den = -num, -den + # -1 < num/den <= 0 -> 0 + if is_lt(-den, num): + return S.Zero + # -2 < num/den <= -1 -> -1 + if fuzzy_and([is_lt(-2*den, num), is_le(num, -den)]): + return S.NegativeOne + + def _eval_as_leading_term(self, x, logx, cdir): + from sympy.calculus.accumulationbounds import AccumBounds + arg = self.args[0] + arg0 = arg.subs(x, 0) + r = self.subs(x, 0) + if arg0 is S.NaN or isinstance(arg0, AccumBounds): + arg0 = arg.limit(x, 0, dir='-' if re(cdir).is_negative else '+') + r = ceiling(arg0) + if arg0.is_finite: + if arg0 == r: + ndir = arg.dir(x, cdir=cdir if cdir != 0 else 1) + if ndir.is_negative: + return r + elif ndir.is_positive: + return r + 1 + else: + raise NotImplementedError("Not sure of sign of %s" % ndir) + else: + return r + return arg.as_leading_term(x, logx=logx, cdir=cdir) + + def _eval_nseries(self, x, n, logx, cdir=0): + arg = self.args[0] + arg0 = arg.subs(x, 0) + r = self.subs(x, 0) + if arg0 is S.NaN: + arg0 = arg.limit(x, 0, dir='-' if re(cdir).is_negative else '+') + r = ceiling(arg0) + if arg0.is_infinite: + from sympy.calculus.accumulationbounds import AccumBounds + from sympy.series.order import Order + s = arg._eval_nseries(x, n, logx, cdir) + o = Order(1, (x, 0)) if n <= 0 else AccumBounds(0, 1) + return s + o + if arg0 == r: + ndir = arg.dir(x, cdir=cdir if cdir != 0 else 1) + if ndir.is_negative: + return r + elif ndir.is_positive: + return r + 1 + else: + raise NotImplementedError("Not sure of sign of %s" % ndir) + else: + return r + + def _eval_rewrite_as_floor(self, arg, **kwargs): + return -floor(-arg) + + def _eval_rewrite_as_frac(self, arg, **kwargs): + return arg + frac(-arg) + + def _eval_is_positive(self): + return self.args[0].is_positive + + def _eval_is_nonpositive(self): + return self.args[0].is_nonpositive + + def __lt__(self, other): + other = S(other) + if self.args[0].is_real: + if other.is_integer: + return self.args[0] <= other - 1 + if other.is_number and other.is_real: + return self.args[0] <= floor(other) + if self.args[0] == other and other.is_real: + return S.false + if other is S.Infinity and self.is_finite: + return S.true + + return Lt(self, other, evaluate=False) + + def __gt__(self, other): + other = S(other) + if self.args[0].is_real: + if other.is_integer: + return self.args[0] > other + if other.is_number and other.is_real: + return self.args[0] > floor(other) + if self.args[0] == other and other.is_real and other.is_noninteger: + return S.true + if other is S.NegativeInfinity and self.is_finite: + return S.true + + return Gt(self, other, evaluate=False) + + def __ge__(self, other): + other = S(other) + if self.args[0].is_real: + if other.is_integer: + return self.args[0] > other - 1 + if other.is_number and other.is_real: + return self.args[0] > floor(other) + if self.args[0] == other and other.is_real: + return S.true + if other is S.NegativeInfinity and self.is_finite: + return S.true + + return Ge(self, other, evaluate=False) + + def __le__(self, other): + other = S(other) + if self.args[0].is_real: + if other.is_integer: + return self.args[0] <= other + if other.is_number and other.is_real: + return self.args[0] <= floor(other) + if self.args[0] == other and other.is_real and other.is_noninteger: + return S.false + if other is S.Infinity and self.is_finite: + return S.true + + return Le(self, other, evaluate=False) + + +@dispatch(ceiling, Basic) # type:ignore +def _eval_is_eq(lhs, rhs): # noqa:F811 + return is_eq(lhs.rewrite(floor), rhs) or is_eq(lhs.rewrite(frac),rhs) + + +class frac(DefinedFunction): + r"""Represents the fractional part of x + + For real numbers it is defined [1]_ as + + .. math:: + x - \left\lfloor{x}\right\rfloor + + Examples + ======== + + >>> from sympy import Symbol, frac, Rational, floor, I + >>> frac(Rational(4, 3)) + 1/3 + >>> frac(-Rational(4, 3)) + 2/3 + + returns zero for integer arguments + + >>> n = Symbol('n', integer=True) + >>> frac(n) + 0 + + rewrite as floor + + >>> x = Symbol('x') + >>> frac(x).rewrite(floor) + x - floor(x) + + for complex arguments + + >>> r = Symbol('r', real=True) + >>> t = Symbol('t', real=True) + >>> frac(t + I*r) + I*frac(r) + frac(t) + + See Also + ======== + + sympy.functions.elementary.integers.floor + sympy.functions.elementary.integers.ceiling + + References + =========== + + .. [1] https://en.wikipedia.org/wiki/Fractional_part + .. [2] https://mathworld.wolfram.com/FractionalPart.html + + """ + @classmethod + def eval(cls, arg): + from sympy.calculus.accumulationbounds import AccumBounds + + def _eval(arg): + if arg in (S.Infinity, S.NegativeInfinity): + return AccumBounds(0, 1) + if arg.is_integer: + return S.Zero + if arg.is_number: + if arg is S.NaN: + return S.NaN + elif arg is S.ComplexInfinity: + return S.NaN + else: + return arg - floor(arg) + return cls(arg, evaluate=False) + + real, imag = S.Zero, S.Zero + for t in Add.make_args(arg): + # Two checks are needed for complex arguments + # see issue-7649 for details + if t.is_imaginary or (S.ImaginaryUnit*t).is_real: + i = im(t) + if not i.has(S.ImaginaryUnit): + imag += i + else: + real += t + else: + real += t + + real = _eval(real) + imag = _eval(imag) + return real + S.ImaginaryUnit*imag + + def _eval_rewrite_as_floor(self, arg, **kwargs): + return arg - floor(arg) + + def _eval_rewrite_as_ceiling(self, arg, **kwargs): + return arg + ceiling(-arg) + + def _eval_is_finite(self): + return True + + def _eval_is_real(self): + return self.args[0].is_extended_real + + def _eval_is_imaginary(self): + return self.args[0].is_imaginary + + def _eval_is_integer(self): + return self.args[0].is_integer + + def _eval_is_zero(self): + return fuzzy_or([self.args[0].is_zero, self.args[0].is_integer]) + + def _eval_is_negative(self): + return False + + def __ge__(self, other): + if self.is_extended_real: + other = _sympify(other) + # Check if other <= 0 + if other.is_extended_nonpositive: + return S.true + # Check if other >= 1 + res = self._value_one_or_more(other) + if res is not None: + return not(res) + return Ge(self, other, evaluate=False) + + def __gt__(self, other): + if self.is_extended_real: + other = _sympify(other) + # Check if other < 0 + res = self._value_one_or_more(other) + if res is not None: + return not(res) + # Check if other >= 1 + if other.is_extended_negative: + return S.true + return Gt(self, other, evaluate=False) + + def __le__(self, other): + if self.is_extended_real: + other = _sympify(other) + # Check if other < 0 + if other.is_extended_negative: + return S.false + # Check if other >= 1 + res = self._value_one_or_more(other) + if res is not None: + return res + return Le(self, other, evaluate=False) + + def __lt__(self, other): + if self.is_extended_real: + other = _sympify(other) + # Check if other <= 0 + if other.is_extended_nonpositive: + return S.false + # Check if other >= 1 + res = self._value_one_or_more(other) + if res is not None: + return res + return Lt(self, other, evaluate=False) + + def _value_one_or_more(self, other): + if other.is_extended_real: + if other.is_number: + res = other >= 1 + if res and not isinstance(res, Relational): + return S.true + if other.is_integer and other.is_positive: + return S.true + + def _eval_as_leading_term(self, x, logx, cdir): + from sympy.calculus.accumulationbounds import AccumBounds + arg = self.args[0] + arg0 = arg.subs(x, 0) + r = self.subs(x, 0) + + if arg0.is_finite: + if r.is_zero: + ndir = arg.dir(x, cdir=cdir) + if ndir.is_negative: + return S.One + return (arg - arg0).as_leading_term(x, logx=logx, cdir=cdir) + else: + return r + elif arg0 in (S.ComplexInfinity, S.Infinity, S.NegativeInfinity): + return AccumBounds(0, 1) + return arg.as_leading_term(x, logx=logx, cdir=cdir) + + def _eval_nseries(self, x, n, logx, cdir=0): + from sympy.series.order import Order + arg = self.args[0] + arg0 = arg.subs(x, 0) + r = self.subs(x, 0) + + if arg0.is_infinite: + from sympy.calculus.accumulationbounds import AccumBounds + o = Order(1, (x, 0)) if n <= 0 else AccumBounds(0, 1) + Order(x**n, (x, 0)) + return o + else: + res = (arg - arg0)._eval_nseries(x, n, logx=logx, cdir=cdir) + if r.is_zero: + ndir = arg.dir(x, cdir=cdir) + res += S.One if ndir.is_negative else S.Zero + else: + res += r + return res + + +@dispatch(frac, Basic) # type:ignore +def _eval_is_eq(lhs, rhs): # noqa:F811 + if (lhs.rewrite(floor) == rhs) or \ + (lhs.rewrite(ceiling) == rhs): + return True + # Check if other < 0 + if rhs.is_extended_negative: + return False + # Check if other >= 1 + res = lhs._value_one_or_more(rhs) + if res is not None: + return False diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/miscellaneous.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/miscellaneous.py new file mode 100644 index 0000000000000000000000000000000000000000..c7f3016bc7ea0d5c4ad778cf9922c941acb7fc44 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/miscellaneous.py @@ -0,0 +1,915 @@ +from sympy.core import S, sympify, NumberKind +from sympy.utilities.iterables import sift +from sympy.core.add import Add +from sympy.core.containers import Tuple +from sympy.core.operations import LatticeOp, ShortCircuit +from sympy.core.function import (Application, Lambda, + ArgumentIndexError, DefinedFunction) +from sympy.core.expr import Expr +from sympy.core.exprtools import factor_terms +from sympy.core.mod import Mod +from sympy.core.mul import Mul +from sympy.core.numbers import Rational +from sympy.core.power import Pow +from sympy.core.relational import Eq, Relational +from sympy.core.singleton import Singleton +from sympy.core.sorting import ordered +from sympy.core.symbol import Dummy +from sympy.core.rules import Transform +from sympy.core.logic import fuzzy_and, fuzzy_or, _torf +from sympy.core.traversal import walk +from sympy.core.numbers import Integer +from sympy.logic.boolalg import And, Or + + +def _minmax_as_Piecewise(op, *args): + # helper for Min/Max rewrite as Piecewise + from sympy.functions.elementary.piecewise import Piecewise + ec = [] + for i, a in enumerate(args): + c = [Relational(a, args[j], op) for j in range(i + 1, len(args))] + ec.append((a, And(*c))) + return Piecewise(*ec) + + +class IdentityFunction(Lambda, metaclass=Singleton): + """ + The identity function + + Examples + ======== + + >>> from sympy import Id, Symbol + >>> x = Symbol('x') + >>> Id(x) + x + + """ + + _symbol = Dummy('x') + + @property + def signature(self): + return Tuple(self._symbol) + + @property + def expr(self): + return self._symbol + + +Id = S.IdentityFunction + +############################################################################### +############################# ROOT and SQUARE ROOT FUNCTION ################### +############################################################################### + + +def sqrt(arg, evaluate=None): + """Returns the principal square root. + + Parameters + ========== + + evaluate : bool, optional + The parameter determines if the expression should be evaluated. + If ``None``, its value is taken from + ``global_parameters.evaluate``. + + Examples + ======== + + >>> from sympy import sqrt, Symbol, S + >>> x = Symbol('x') + + >>> sqrt(x) + sqrt(x) + + >>> sqrt(x)**2 + x + + Note that sqrt(x**2) does not simplify to x. + + >>> sqrt(x**2) + sqrt(x**2) + + This is because the two are not equal to each other in general. + For example, consider x == -1: + + >>> from sympy import Eq + >>> Eq(sqrt(x**2), x).subs(x, -1) + False + + This is because sqrt computes the principal square root, so the square may + put the argument in a different branch. This identity does hold if x is + positive: + + >>> y = Symbol('y', positive=True) + >>> sqrt(y**2) + y + + You can force this simplification by using the powdenest() function with + the force option set to True: + + >>> from sympy import powdenest + >>> sqrt(x**2) + sqrt(x**2) + >>> powdenest(sqrt(x**2), force=True) + x + + To get both branches of the square root you can use the rootof function: + + >>> from sympy import rootof + + >>> [rootof(x**2-3,i) for i in (0,1)] + [-sqrt(3), sqrt(3)] + + Although ``sqrt`` is printed, there is no ``sqrt`` function so looking for + ``sqrt`` in an expression will fail: + + >>> from sympy.utilities.misc import func_name + >>> func_name(sqrt(x)) + 'Pow' + >>> sqrt(x).has(sqrt) + False + + To find ``sqrt`` look for ``Pow`` with an exponent of ``1/2``: + + >>> (x + 1/sqrt(x)).find(lambda i: i.is_Pow and abs(i.exp) is S.Half) + {1/sqrt(x)} + + See Also + ======== + + sympy.polys.rootoftools.rootof, root, real_root + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Square_root + .. [2] https://en.wikipedia.org/wiki/Principal_value + """ + # arg = sympify(arg) is handled by Pow + return Pow(arg, S.Half, evaluate=evaluate) + + +def cbrt(arg, evaluate=None): + """Returns the principal cube root. + + Parameters + ========== + + evaluate : bool, optional + The parameter determines if the expression should be evaluated. + If ``None``, its value is taken from + ``global_parameters.evaluate``. + + Examples + ======== + + >>> from sympy import cbrt, Symbol + >>> x = Symbol('x') + + >>> cbrt(x) + x**(1/3) + + >>> cbrt(x)**3 + x + + Note that cbrt(x**3) does not simplify to x. + + >>> cbrt(x**3) + (x**3)**(1/3) + + This is because the two are not equal to each other in general. + For example, consider `x == -1`: + + >>> from sympy import Eq + >>> Eq(cbrt(x**3), x).subs(x, -1) + False + + This is because cbrt computes the principal cube root, this + identity does hold if `x` is positive: + + >>> y = Symbol('y', positive=True) + >>> cbrt(y**3) + y + + See Also + ======== + + sympy.polys.rootoftools.rootof, root, real_root + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Cube_root + .. [2] https://en.wikipedia.org/wiki/Principal_value + + """ + return Pow(arg, Rational(1, 3), evaluate=evaluate) + + +def root(arg, n, k=0, evaluate=None): + r"""Returns the *k*-th *n*-th root of ``arg``. + + Parameters + ========== + + k : int, optional + Should be an integer in $\{0, 1, ..., n-1\}$. + Defaults to the principal root if $0$. + + evaluate : bool, optional + The parameter determines if the expression should be evaluated. + If ``None``, its value is taken from + ``global_parameters.evaluate``. + + Examples + ======== + + >>> from sympy import root, Rational + >>> from sympy.abc import x, n + + >>> root(x, 2) + sqrt(x) + + >>> root(x, 3) + x**(1/3) + + >>> root(x, n) + x**(1/n) + + >>> root(x, -Rational(2, 3)) + x**(-3/2) + + To get the k-th n-th root, specify k: + + >>> root(-2, 3, 2) + -(-1)**(2/3)*2**(1/3) + + To get all n n-th roots you can use the rootof function. + The following examples show the roots of unity for n + equal 2, 3 and 4: + + >>> from sympy import rootof + + >>> [rootof(x**2 - 1, i) for i in range(2)] + [-1, 1] + + >>> [rootof(x**3 - 1,i) for i in range(3)] + [1, -1/2 - sqrt(3)*I/2, -1/2 + sqrt(3)*I/2] + + >>> [rootof(x**4 - 1,i) for i in range(4)] + [-1, 1, -I, I] + + SymPy, like other symbolic algebra systems, returns the + complex root of negative numbers. This is the principal + root and differs from the text-book result that one might + be expecting. For example, the cube root of -8 does not + come back as -2: + + >>> root(-8, 3) + 2*(-1)**(1/3) + + The real_root function can be used to either make the principal + result real (or simply to return the real root directly): + + >>> from sympy import real_root + >>> real_root(_) + -2 + >>> real_root(-32, 5) + -2 + + Alternatively, the n//2-th n-th root of a negative number can be + computed with root: + + >>> root(-32, 5, 5//2) + -2 + + See Also + ======== + + sympy.polys.rootoftools.rootof + sympy.core.intfunc.integer_nthroot + sqrt, real_root + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Square_root + .. [2] https://en.wikipedia.org/wiki/Real_root + .. [3] https://en.wikipedia.org/wiki/Root_of_unity + .. [4] https://en.wikipedia.org/wiki/Principal_value + .. [5] https://mathworld.wolfram.com/CubeRoot.html + + """ + n = sympify(n) + if k: + return Mul(Pow(arg, S.One/n, evaluate=evaluate), S.NegativeOne**(2*k/n), evaluate=evaluate) + return Pow(arg, 1/n, evaluate=evaluate) + + +def real_root(arg, n=None, evaluate=None): + r"""Return the real *n*'th-root of *arg* if possible. + + Parameters + ========== + + n : int or None, optional + If *n* is ``None``, then all instances of + $(-n)^{1/\text{odd}}$ will be changed to $-n^{1/\text{odd}}$. + This will only create a real root of a principal root. + The presence of other factors may cause the result to not be + real. + + evaluate : bool, optional + The parameter determines if the expression should be evaluated. + If ``None``, its value is taken from + ``global_parameters.evaluate``. + + Examples + ======== + + >>> from sympy import root, real_root + + >>> real_root(-8, 3) + -2 + >>> root(-8, 3) + 2*(-1)**(1/3) + >>> real_root(_) + -2 + + If one creates a non-principal root and applies real_root, the + result will not be real (so use with caution): + + >>> root(-8, 3, 2) + -2*(-1)**(2/3) + >>> real_root(_) + -2*(-1)**(2/3) + + See Also + ======== + + sympy.polys.rootoftools.rootof + sympy.core.intfunc.integer_nthroot + root, sqrt + """ + from sympy.functions.elementary.complexes import Abs, im, sign + from sympy.functions.elementary.piecewise import Piecewise + if n is not None: + return Piecewise( + (root(arg, n, evaluate=evaluate), Or(Eq(n, S.One), Eq(n, S.NegativeOne))), + (Mul(sign(arg), root(Abs(arg), n, evaluate=evaluate), evaluate=evaluate), + And(Eq(im(arg), S.Zero), Eq(Mod(n, 2), S.One))), + (root(arg, n, evaluate=evaluate), True)) + rv = sympify(arg) + n1pow = Transform(lambda x: -(-x.base)**x.exp, + lambda x: + x.is_Pow and + x.base.is_negative and + x.exp.is_Rational and + x.exp.p == 1 and x.exp.q % 2) + return rv.xreplace(n1pow) + +############################################################################### +############################# MINIMUM and MAXIMUM ############################# +############################################################################### + + +class MinMaxBase(Expr, LatticeOp): + def __new__(cls, *args, **assumptions): + from sympy.core.parameters import global_parameters + evaluate = assumptions.pop('evaluate', global_parameters.evaluate) + args = (sympify(arg) for arg in args) + + # first standard filter, for cls.zero and cls.identity + # also reshape Max(a, Max(b, c)) to Max(a, b, c) + + if evaluate: + try: + args = frozenset(cls._new_args_filter(args)) + except ShortCircuit: + return cls.zero + # remove redundant args that are easily identified + args = cls._collapse_arguments(args, **assumptions) + # find local zeros + args = cls._find_localzeros(args, **assumptions) + args = frozenset(args) + + if not args: + return cls.identity + + if len(args) == 1: + return list(args).pop() + + # base creation + obj = Expr.__new__(cls, *ordered(args), **assumptions) + obj._argset = args + return obj + + @classmethod + def _collapse_arguments(cls, args, **assumptions): + """Remove redundant args. + + Examples + ======== + + >>> from sympy import Min, Max + >>> from sympy.abc import a, b, c, d, e + + Any arg in parent that appears in any + parent-like function in any of the flat args + of parent can be removed from that sub-arg: + + >>> Min(a, Max(b, Min(a, c, d))) + Min(a, Max(b, Min(c, d))) + + If the arg of parent appears in an opposite-than parent + function in any of the flat args of parent that function + can be replaced with the arg: + + >>> Min(a, Max(b, Min(c, d, Max(a, e)))) + Min(a, Max(b, Min(a, c, d))) + """ + if not args: + return args + args = list(ordered(args)) + if cls == Min: + other = Max + else: + other = Min + + # find global comparable max of Max and min of Min if a new + # value is being introduced in these args at position 0 of + # the ordered args + if args[0].is_number: + sifted = mins, maxs = [], [] + for i in args: + for v in walk(i, Min, Max): + if v.args[0].is_comparable: + sifted[isinstance(v, Max)].append(v) + small = Min.identity + for i in mins: + v = i.args[0] + if v.is_number and (v < small) == True: + small = v + big = Max.identity + for i in maxs: + v = i.args[0] + if v.is_number and (v > big) == True: + big = v + # at the point when this function is called from __new__, + # there may be more than one numeric arg present since + # local zeros have not been handled yet, so look through + # more than the first arg + if cls == Min: + for arg in args: + if not arg.is_number: + break + if (arg < small) == True: + small = arg + elif cls == Max: + for arg in args: + if not arg.is_number: + break + if (arg > big) == True: + big = arg + T = None + if cls == Min: + if small != Min.identity: + other = Max + T = small + elif big != Max.identity: + other = Min + T = big + if T is not None: + # remove numerical redundancy + for i in range(len(args)): + a = args[i] + if isinstance(a, other): + a0 = a.args[0] + if ((a0 > T) if other == Max else (a0 < T)) == True: + args[i] = cls.identity + + # remove redundant symbolic args + def do(ai, a): + if not isinstance(ai, (Min, Max)): + return ai + cond = a in ai.args + if not cond: + return ai.func(*[do(i, a) for i in ai.args], + evaluate=False) + if isinstance(ai, cls): + return ai.func(*[do(i, a) for i in ai.args if i != a], + evaluate=False) + return a + for i, a in enumerate(args): + args[i + 1:] = [do(ai, a) for ai in args[i + 1:]] + + # factor out common elements as for + # Min(Max(x, y), Max(x, z)) -> Max(x, Min(y, z)) + # and vice versa when swapping Min/Max -- do this only for the + # easy case where all functions contain something in common; + # trying to find some optimal subset of args to modify takes + # too long + + def factor_minmax(args): + is_other = lambda arg: isinstance(arg, other) + other_args, remaining_args = sift(args, is_other, binary=True) + if not other_args: + return args + + # Min(Max(x, y, z), Max(x, y, u, v)) -> {x,y}, ({z}, {u,v}) + arg_sets = [set(arg.args) for arg in other_args] + common = set.intersection(*arg_sets) + if not common: + return args + + new_other_args = list(common) + arg_sets_diff = [arg_set - common for arg_set in arg_sets] + + # If any set is empty after removing common then all can be + # discarded e.g. Min(Max(a, b, c), Max(a, b)) -> Max(a, b) + if all(arg_sets_diff): + other_args_diff = [other(*s, evaluate=False) for s in arg_sets_diff] + new_other_args.append(cls(*other_args_diff, evaluate=False)) + + other_args_factored = other(*new_other_args, evaluate=False) + return remaining_args + [other_args_factored] + + if len(args) > 1: + args = factor_minmax(args) + + return args + + @classmethod + def _new_args_filter(cls, arg_sequence): + """ + Generator filtering args. + + first standard filter, for cls.zero and cls.identity. + Also reshape ``Max(a, Max(b, c))`` to ``Max(a, b, c)``, + and check arguments for comparability + """ + for arg in arg_sequence: + # pre-filter, checking comparability of arguments + if not isinstance(arg, Expr) or arg.is_extended_real is False or ( + arg.is_number and + not arg.is_comparable): + raise ValueError("The argument '%s' is not comparable." % arg) + + if arg == cls.zero: + raise ShortCircuit(arg) + elif arg == cls.identity: + continue + elif arg.func == cls: + yield from arg.args + else: + yield arg + + @classmethod + def _find_localzeros(cls, values, **options): + """ + Sequentially allocate values to localzeros. + + When a value is identified as being more extreme than another member it + replaces that member; if this is never true, then the value is simply + appended to the localzeros. + """ + localzeros = set() + for v in values: + is_newzero = True + localzeros_ = list(localzeros) + for z in localzeros_: + if id(v) == id(z): + is_newzero = False + else: + con = cls._is_connected(v, z) + if con: + is_newzero = False + if con is True or con == cls: + localzeros.remove(z) + localzeros.update([v]) + if is_newzero: + localzeros.update([v]) + return localzeros + + @classmethod + def _is_connected(cls, x, y): + """ + Check if x and y are connected somehow. + """ + for i in range(2): + if x == y: + return True + t, f = Max, Min + for op in "><": + for j in range(2): + try: + if op == ">": + v = x >= y + else: + v = x <= y + except TypeError: + return False # non-real arg + if not v.is_Relational: + return t if v else f + t, f = f, t + x, y = y, x + x, y = y, x # run next pass with reversed order relative to start + # simplification can be expensive, so be conservative + # in what is attempted + x = factor_terms(x - y) + y = S.Zero + + return False + + def _eval_derivative(self, s): + # f(x).diff(s) -> x.diff(s) * f.fdiff(1)(s) + i = 0 + l = [] + for a in self.args: + i += 1 + da = a.diff(s) + if da.is_zero: + continue + try: + df = self.fdiff(i) + except ArgumentIndexError: + df = super().fdiff(i) + l.append(df * da) + return Add(*l) + + def _eval_rewrite_as_Abs(self, *args, **kwargs): + from sympy.functions.elementary.complexes import Abs + s = (args[0] + self.func(*args[1:]))/2 + d = abs(args[0] - self.func(*args[1:]))/2 + return (s + d if isinstance(self, Max) else s - d).rewrite(Abs) + + def evalf(self, n=15, **options): + return self.func(*[a.evalf(n, **options) for a in self.args]) + + def n(self, *args, **kwargs): + return self.evalf(*args, **kwargs) + + _eval_is_algebraic = lambda s: _torf(i.is_algebraic for i in s.args) + _eval_is_antihermitian = lambda s: _torf(i.is_antihermitian for i in s.args) + _eval_is_commutative = lambda s: _torf(i.is_commutative for i in s.args) + _eval_is_complex = lambda s: _torf(i.is_complex for i in s.args) + _eval_is_composite = lambda s: _torf(i.is_composite for i in s.args) + _eval_is_even = lambda s: _torf(i.is_even for i in s.args) + _eval_is_finite = lambda s: _torf(i.is_finite for i in s.args) + _eval_is_hermitian = lambda s: _torf(i.is_hermitian for i in s.args) + _eval_is_imaginary = lambda s: _torf(i.is_imaginary for i in s.args) + _eval_is_infinite = lambda s: _torf(i.is_infinite for i in s.args) + _eval_is_integer = lambda s: _torf(i.is_integer for i in s.args) + _eval_is_irrational = lambda s: _torf(i.is_irrational for i in s.args) + _eval_is_negative = lambda s: _torf(i.is_negative for i in s.args) + _eval_is_noninteger = lambda s: _torf(i.is_noninteger for i in s.args) + _eval_is_nonnegative = lambda s: _torf(i.is_nonnegative for i in s.args) + _eval_is_nonpositive = lambda s: _torf(i.is_nonpositive for i in s.args) + _eval_is_nonzero = lambda s: _torf(i.is_nonzero for i in s.args) + _eval_is_odd = lambda s: _torf(i.is_odd for i in s.args) + _eval_is_polar = lambda s: _torf(i.is_polar for i in s.args) + _eval_is_positive = lambda s: _torf(i.is_positive for i in s.args) + _eval_is_prime = lambda s: _torf(i.is_prime for i in s.args) + _eval_is_rational = lambda s: _torf(i.is_rational for i in s.args) + _eval_is_real = lambda s: _torf(i.is_real for i in s.args) + _eval_is_extended_real = lambda s: _torf(i.is_extended_real for i in s.args) + _eval_is_transcendental = lambda s: _torf(i.is_transcendental for i in s.args) + _eval_is_zero = lambda s: _torf(i.is_zero for i in s.args) + + +class Max(MinMaxBase, Application): + r""" + Return, if possible, the maximum value of the list. + + When number of arguments is equal one, then + return this argument. + + When number of arguments is equal two, then + return, if possible, the value from (a, b) that is $\ge$ the other. + + In common case, when the length of list greater than 2, the task + is more complicated. Return only the arguments, which are greater + than others, if it is possible to determine directional relation. + + If is not possible to determine such a relation, return a partially + evaluated result. + + Assumptions are used to make the decision too. + + Also, only comparable arguments are permitted. + + It is named ``Max`` and not ``max`` to avoid conflicts + with the built-in function ``max``. + + + Examples + ======== + + >>> from sympy import Max, Symbol, oo + >>> from sympy.abc import x, y, z + >>> p = Symbol('p', positive=True) + >>> n = Symbol('n', negative=True) + + >>> Max(x, -2) + Max(-2, x) + >>> Max(x, -2).subs(x, 3) + 3 + >>> Max(p, -2) + p + >>> Max(x, y) + Max(x, y) + >>> Max(x, y) == Max(y, x) + True + >>> Max(x, Max(y, z)) + Max(x, y, z) + >>> Max(n, 8, p, 7, -oo) + Max(8, p) + >>> Max (1, x, oo) + oo + + * Algorithm + + The task can be considered as searching of supremums in the + directed complete partial orders [1]_. + + The source values are sequentially allocated by the isolated subsets + in which supremums are searched and result as Max arguments. + + If the resulted supremum is single, then it is returned. + + The isolated subsets are the sets of values which are only the comparable + with each other in the current set. E.g. natural numbers are comparable with + each other, but not comparable with the `x` symbol. Another example: the + symbol `x` with negative assumption is comparable with a natural number. + + Also there are "least" elements, which are comparable with all others, + and have a zero property (maximum or minimum for all elements). + For example, in case of $\infty$, the allocation operation is terminated + and only this value is returned. + + Assumption: + - if $A > B > C$ then $A > C$ + - if $A = B$ then $B$ can be removed + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Directed_complete_partial_order + .. [2] https://en.wikipedia.org/wiki/Lattice_%28order%29 + + See Also + ======== + + Min : find minimum values + """ + zero = S.Infinity + identity = S.NegativeInfinity + + def fdiff( self, argindex ): + from sympy.functions.special.delta_functions import Heaviside + n = len(self.args) + if 0 < argindex and argindex <= n: + argindex -= 1 + if n == 2: + return Heaviside(self.args[argindex] - self.args[1 - argindex]) + newargs = tuple([self.args[i] for i in range(n) if i != argindex]) + return Heaviside(self.args[argindex] - Max(*newargs)) + else: + raise ArgumentIndexError(self, argindex) + + def _eval_rewrite_as_Heaviside(self, *args, **kwargs): + from sympy.functions.special.delta_functions import Heaviside + return Add(*[j*Mul(*[Heaviside(j - i) for i in args if i!=j]) \ + for j in args]) + + def _eval_rewrite_as_Piecewise(self, *args, **kwargs): + return _minmax_as_Piecewise('>=', *args) + + def _eval_is_positive(self): + return fuzzy_or(a.is_positive for a in self.args) + + def _eval_is_nonnegative(self): + return fuzzy_or(a.is_nonnegative for a in self.args) + + def _eval_is_negative(self): + return fuzzy_and(a.is_negative for a in self.args) + + +class Min(MinMaxBase, Application): + """ + Return, if possible, the minimum value of the list. + It is named ``Min`` and not ``min`` to avoid conflicts + with the built-in function ``min``. + + Examples + ======== + + >>> from sympy import Min, Symbol, oo + >>> from sympy.abc import x, y + >>> p = Symbol('p', positive=True) + >>> n = Symbol('n', negative=True) + + >>> Min(x, -2) + Min(-2, x) + >>> Min(x, -2).subs(x, 3) + -2 + >>> Min(p, -3) + -3 + >>> Min(x, y) + Min(x, y) + >>> Min(n, 8, p, -7, p, oo) + Min(-7, n) + + See Also + ======== + + Max : find maximum values + """ + zero = S.NegativeInfinity + identity = S.Infinity + + def fdiff( self, argindex ): + from sympy.functions.special.delta_functions import Heaviside + n = len(self.args) + if 0 < argindex and argindex <= n: + argindex -= 1 + if n == 2: + return Heaviside( self.args[1-argindex] - self.args[argindex] ) + newargs = tuple([ self.args[i] for i in range(n) if i != argindex]) + return Heaviside( Min(*newargs) - self.args[argindex] ) + else: + raise ArgumentIndexError(self, argindex) + + def _eval_rewrite_as_Heaviside(self, *args, **kwargs): + from sympy.functions.special.delta_functions import Heaviside + return Add(*[j*Mul(*[Heaviside(i-j) for i in args if i!=j]) \ + for j in args]) + + def _eval_rewrite_as_Piecewise(self, *args, **kwargs): + return _minmax_as_Piecewise('<=', *args) + + def _eval_is_positive(self): + return fuzzy_and(a.is_positive for a in self.args) + + def _eval_is_nonnegative(self): + return fuzzy_and(a.is_nonnegative for a in self.args) + + def _eval_is_negative(self): + return fuzzy_or(a.is_negative for a in self.args) + + +class Rem(DefinedFunction): + """Returns the remainder when ``p`` is divided by ``q`` where ``p`` is finite + and ``q`` is not equal to zero. The result, ``p - int(p/q)*q``, has the same sign + as the divisor. + + Parameters + ========== + + p : Expr + Dividend. + + q : Expr + Divisor. + + Notes + ===== + + ``Rem`` corresponds to the ``%`` operator in C. + + Examples + ======== + + >>> from sympy.abc import x, y + >>> from sympy import Rem + >>> Rem(x**3, y) + Rem(x**3, y) + >>> Rem(x**3, y).subs({x: -5, y: 3}) + -2 + + See Also + ======== + + Mod + """ + kind = NumberKind + + @classmethod + def eval(cls, p, q): + """Return the function remainder if both p, q are numbers and q is not + zero. + """ + + if q.is_zero: + raise ZeroDivisionError("Division by zero") + if p is S.NaN or q is S.NaN or p.is_finite is False or q.is_finite is False: + return S.NaN + if p is S.Zero or p in (q, -q) or (p.is_integer and q == 1): + return S.Zero + + if q.is_Number: + if p.is_Number: + return p - Integer(p/q)*q diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/piecewise.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/piecewise.py new file mode 100644 index 0000000000000000000000000000000000000000..fe4a4d4f57e2c3af170dac994e11782b9ed54b8f --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/piecewise.py @@ -0,0 +1,1517 @@ +from sympy.core import S, diff, Tuple, Dummy, Mul +from sympy.core.basic import Basic, as_Basic +from sympy.core.function import DefinedFunction +from sympy.core.numbers import Rational, NumberSymbol, _illegal +from sympy.core.parameters import global_parameters +from sympy.core.relational import (Lt, Gt, Eq, Ne, Relational, + _canonical, _canonical_coeff) +from sympy.core.sorting import ordered +from sympy.functions.elementary.miscellaneous import Max, Min +from sympy.logic.boolalg import (And, Boolean, distribute_and_over_or, Not, + true, false, Or, ITE, simplify_logic, to_cnf, distribute_or_over_and) +from sympy.utilities.iterables import uniq, sift, common_prefix +from sympy.utilities.misc import filldedent, func_name + +from itertools import product + +Undefined = S.NaN # Piecewise() + +class ExprCondPair(Tuple): + """Represents an expression, condition pair.""" + + def __new__(cls, expr, cond): + expr = as_Basic(expr) + if cond == True: + return Tuple.__new__(cls, expr, true) + elif cond == False: + return Tuple.__new__(cls, expr, false) + elif isinstance(cond, Basic) and cond.has(Piecewise): + cond = piecewise_fold(cond) + if isinstance(cond, Piecewise): + cond = cond.rewrite(ITE) + + if not isinstance(cond, Boolean): + raise TypeError(filldedent(''' + Second argument must be a Boolean, + not `%s`''' % func_name(cond))) + return Tuple.__new__(cls, expr, cond) + + @property + def expr(self): + """ + Returns the expression of this pair. + """ + return self.args[0] + + @property + def cond(self): + """ + Returns the condition of this pair. + """ + return self.args[1] + + @property + def is_commutative(self): + return self.expr.is_commutative + + def __iter__(self): + yield self.expr + yield self.cond + + def _eval_simplify(self, **kwargs): + return self.func(*[a.simplify(**kwargs) for a in self.args]) + + +class Piecewise(DefinedFunction): + """ + Represents a piecewise function. + + Usage: + + Piecewise( (expr,cond), (expr,cond), ... ) + - Each argument is a 2-tuple defining an expression and condition + - The conds are evaluated in turn returning the first that is True. + If any of the evaluated conds are not explicitly False, + e.g. ``x < 1``, the function is returned in symbolic form. + - If the function is evaluated at a place where all conditions are False, + nan will be returned. + - Pairs where the cond is explicitly False, will be removed and no pair + appearing after a True condition will ever be retained. If a single + pair with a True condition remains, it will be returned, even when + evaluation is False. + + Examples + ======== + + >>> from sympy import Piecewise, log, piecewise_fold + >>> from sympy.abc import x, y + >>> f = x**2 + >>> g = log(x) + >>> p = Piecewise((0, x < -1), (f, x <= 1), (g, True)) + >>> p.subs(x,1) + 1 + >>> p.subs(x,5) + log(5) + + Booleans can contain Piecewise elements: + + >>> cond = (x < y).subs(x, Piecewise((2, x < 0), (3, True))); cond + Piecewise((2, x < 0), (3, True)) < y + + The folded version of this results in a Piecewise whose + expressions are Booleans: + + >>> folded_cond = piecewise_fold(cond); folded_cond + Piecewise((2 < y, x < 0), (3 < y, True)) + + When a Boolean containing Piecewise (like cond) or a Piecewise + with Boolean expressions (like folded_cond) is used as a condition, + it is converted to an equivalent :class:`~.ITE` object: + + >>> Piecewise((1, folded_cond)) + Piecewise((1, ITE(x < 0, y > 2, y > 3))) + + When a condition is an ``ITE``, it will be converted to a simplified + Boolean expression: + + >>> piecewise_fold(_) + Piecewise((1, ((x >= 0) | (y > 2)) & ((y > 3) | (x < 0)))) + + See Also + ======== + + piecewise_fold + piecewise_exclusive + ITE + """ + + nargs = None + is_Piecewise = True + + def __new__(cls, *args, **options): + if len(args) == 0: + raise TypeError("At least one (expr, cond) pair expected.") + # (Try to) sympify args first + newargs = [] + for ec in args: + # ec could be a ExprCondPair or a tuple + pair = ExprCondPair(*getattr(ec, 'args', ec)) + cond = pair.cond + if cond is false: + continue + newargs.append(pair) + if cond is true: + break + + eval = options.pop('evaluate', global_parameters.evaluate) + if eval: + r = cls.eval(*newargs) + if r is not None: + return r + elif len(newargs) == 1 and newargs[0].cond == True: + return newargs[0].expr + + return Basic.__new__(cls, *newargs, **options) + + @classmethod + def eval(cls, *_args): + """Either return a modified version of the args or, if no + modifications were made, return None. + + Modifications that are made here: + + 1. relationals are made canonical + 2. any False conditions are dropped + 3. any repeat of a previous condition is ignored + 4. any args past one with a true condition are dropped + + If there are no args left, nan will be returned. + If there is a single arg with a True condition, its + corresponding expression will be returned. + + EXAMPLES + ======== + + >>> from sympy import Piecewise + >>> from sympy.abc import x + >>> cond = -x < -1 + >>> args = [(1, cond), (4, cond), (3, False), (2, True), (5, x < 1)] + >>> Piecewise(*args, evaluate=False) + Piecewise((1, -x < -1), (4, -x < -1), (2, True)) + >>> Piecewise(*args) + Piecewise((1, x > 1), (2, True)) + """ + if not _args: + return Undefined + + if len(_args) == 1 and _args[0][-1] == True: + return _args[0][0] + + newargs = _piecewise_collapse_arguments(_args) + + # some conditions may have been redundant + missing = len(newargs) != len(_args) + # some conditions may have changed + same = all(a == b for a, b in zip(newargs, _args)) + # if either change happened we return the expr with the + # updated args + if not newargs: + raise ValueError(filldedent(''' + There are no conditions (or none that + are not trivially false) to define an + expression.''')) + if missing or not same: + return cls(*newargs) + + def doit(self, **hints): + """ + Evaluate this piecewise function. + """ + newargs = [] + for e, c in self.args: + if hints.get('deep', True): + if isinstance(e, Basic): + newe = e.doit(**hints) + if newe != self: + e = newe + if isinstance(c, Basic): + c = c.doit(**hints) + newargs.append((e, c)) + return self.func(*newargs) + + def _eval_simplify(self, **kwargs): + return piecewise_simplify(self, **kwargs) + + def _eval_as_leading_term(self, x, logx, cdir): + for e, c in self.args: + if c == True or c.subs(x, 0) == True: + return e.as_leading_term(x) + + def _eval_adjoint(self): + return self.func(*[(e.adjoint(), c) for e, c in self.args]) + + def _eval_conjugate(self): + return self.func(*[(e.conjugate(), c) for e, c in self.args]) + + def _eval_derivative(self, x): + return self.func(*[(diff(e, x), c) for e, c in self.args]) + + def _eval_evalf(self, prec): + return self.func(*[(e._evalf(prec), c) for e, c in self.args]) + + def _eval_is_meromorphic(self, x, a): + # Conditions often implicitly assume that the argument is real. + # Hence, there needs to be some check for as_set. + if not a.is_real: + return None + + # Then, scan ExprCondPairs in the given order to find a piece that would contain a, + # possibly as a boundary point. + for e, c in self.args: + cond = c.subs(x, a) + + if cond.is_Relational: + return None + if a in c.as_set().boundary: + return None + # Apply expression if a is an interior point of the domain of e. + if cond: + return e._eval_is_meromorphic(x, a) + + def piecewise_integrate(self, x, **kwargs): + """Return the Piecewise with each expression being + replaced with its antiderivative. To obtain a continuous + antiderivative, use the :func:`~.integrate` function or method. + + Examples + ======== + + >>> from sympy import Piecewise + >>> from sympy.abc import x + >>> p = Piecewise((0, x < 0), (1, x < 1), (2, True)) + >>> p.piecewise_integrate(x) + Piecewise((0, x < 0), (x, x < 1), (2*x, True)) + + Note that this does not give a continuous function, e.g. + at x = 1 the 3rd condition applies and the antiderivative + there is 2*x so the value of the antiderivative is 2: + + >>> anti = _ + >>> anti.subs(x, 1) + 2 + + The continuous derivative accounts for the integral *up to* + the point of interest, however: + + >>> p.integrate(x) + Piecewise((0, x < 0), (x, x < 1), (2*x - 1, True)) + >>> _.subs(x, 1) + 1 + + See Also + ======== + Piecewise._eval_integral + """ + from sympy.integrals import integrate + return self.func(*[(integrate(e, x, **kwargs), c) for e, c in self.args]) + + def _handle_irel(self, x, handler): + """Return either None (if the conditions of self depend only on x) else + a Piecewise expression whose expressions (handled by the handler that + was passed) are paired with the governing x-independent relationals, + e.g. Piecewise((A, a(x) & b(y)), (B, c(x) | c(y)) -> + Piecewise( + (handler(Piecewise((A, a(x) & True), (B, c(x) | True)), b(y) & c(y)), + (handler(Piecewise((A, a(x) & True), (B, c(x) | False)), b(y)), + (handler(Piecewise((A, a(x) & False), (B, c(x) | True)), c(y)), + (handler(Piecewise((A, a(x) & False), (B, c(x) | False)), True)) + """ + # identify governing relationals + rel = self.atoms(Relational) + irel = list(ordered([r for r in rel if x not in r.free_symbols + and r not in (S.true, S.false)])) + if irel: + args = {} + exprinorder = [] + for truth in product((1, 0), repeat=len(irel)): + reps = dict(zip(irel, truth)) + # only store the true conditions since the false are implied + # when they appear lower in the Piecewise args + if 1 not in truth: + cond = None # flag this one so it doesn't get combined + else: + andargs = Tuple(*[i for i in reps if reps[i]]) + free = list(andargs.free_symbols) + if len(free) == 1: + from sympy.solvers.inequalities import ( + reduce_inequalities, _solve_inequality) + try: + t = reduce_inequalities(andargs, free[0]) + # ValueError when there are potentially + # nonvanishing imaginary parts + except (ValueError, NotImplementedError): + # at least isolate free symbol on left + t = And(*[_solve_inequality( + a, free[0], linear=True) + for a in andargs]) + else: + t = And(*andargs) + if t is S.false: + continue # an impossible combination + cond = t + expr = handler(self.xreplace(reps)) + if isinstance(expr, self.func) and len(expr.args) == 1: + expr, econd = expr.args[0] + cond = And(econd, True if cond is None else cond) + # the ec pairs are being collected since all possibilities + # are being enumerated, but don't put the last one in since + # its expr might match a previous expression and it + # must appear last in the args + if cond is not None: + args.setdefault(expr, []).append(cond) + # but since we only store the true conditions we must maintain + # the order so that the expression with the most true values + # comes first + exprinorder.append(expr) + # convert collected conditions as args of Or + for k in args: + args[k] = Or(*args[k]) + # take them in the order obtained + args = [(e, args[e]) for e in uniq(exprinorder)] + # add in the last arg + args.append((expr, True)) + return Piecewise(*args) + + def _eval_integral(self, x, _first=True, **kwargs): + """Return the indefinite integral of the + Piecewise such that subsequent substitution of x with a + value will give the value of the integral (not including + the constant of integration) up to that point. To only + integrate the individual parts of Piecewise, use the + ``piecewise_integrate`` method. + + Examples + ======== + + >>> from sympy import Piecewise + >>> from sympy.abc import x + >>> p = Piecewise((0, x < 0), (1, x < 1), (2, True)) + >>> p.integrate(x) + Piecewise((0, x < 0), (x, x < 1), (2*x - 1, True)) + >>> p.piecewise_integrate(x) + Piecewise((0, x < 0), (x, x < 1), (2*x, True)) + + See Also + ======== + Piecewise.piecewise_integrate + """ + from sympy.integrals.integrals import integrate + + if _first: + def handler(ipw): + if isinstance(ipw, self.func): + return ipw._eval_integral(x, _first=False, **kwargs) + else: + return ipw.integrate(x, **kwargs) + irv = self._handle_irel(x, handler) + if irv is not None: + return irv + + # handle a Piecewise from -oo to oo with and no x-independent relationals + # ----------------------------------------------------------------------- + ok, abei = self._intervals(x) + if not ok: + from sympy.integrals.integrals import Integral + return Integral(self, x) # unevaluated + + pieces = [(a, b) for a, b, _, _ in abei] + oo = S.Infinity + done = [(-oo, oo, -1)] + for k, p in enumerate(pieces): + if p == (-oo, oo): + # all undone intervals will get this key + for j, (a, b, i) in enumerate(done): + if i == -1: + done[j] = a, b, k + break # nothing else to consider + N = len(done) - 1 + for j, (a, b, i) in enumerate(reversed(done)): + if i == -1: + j = N - j + done[j: j + 1] = _clip(p, (a, b), k) + done = [(a, b, i) for a, b, i in done if a != b] + + # append an arg if there is a hole so a reference to + # argument -1 will give Undefined + if any(i == -1 for (a, b, i) in done): + abei.append((-oo, oo, Undefined, -1)) + + # return the sum of the intervals + args = [] + sum = None + for a, b, i in done: + anti = integrate(abei[i][-2], x, **kwargs) + if sum is None: + sum = anti + else: + sum = sum.subs(x, a) + e = anti._eval_interval(x, a, x) + if sum.has(*_illegal) or e.has(*_illegal): + sum = anti + else: + sum += e + # see if we know whether b is contained in original + # condition + if b is S.Infinity: + cond = True + elif self.args[abei[i][-1]].cond.subs(x, b) == False: + cond = (x < b) + else: + cond = (x <= b) + args.append((sum, cond)) + return Piecewise(*args) + + def _eval_interval(self, sym, a, b, _first=True): + """Evaluates the function along the sym in a given interval [a, b]""" + # FIXME: Currently complex intervals are not supported. A possible + # replacement algorithm, discussed in issue 5227, can be found in the + # following papers; + # http://portal.acm.org/citation.cfm?id=281649 + # http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.70.4127&rep=rep1&type=pdf + + if a is None or b is None: + # In this case, it is just simple substitution + return super()._eval_interval(sym, a, b) + else: + x, lo, hi = map(as_Basic, (sym, a, b)) + + if _first: # get only x-dependent relationals + def handler(ipw): + if isinstance(ipw, self.func): + return ipw._eval_interval(x, lo, hi, _first=None) + else: + return ipw._eval_interval(x, lo, hi) + irv = self._handle_irel(x, handler) + if irv is not None: + return irv + + if (lo < hi) is S.false or ( + lo is S.Infinity or hi is S.NegativeInfinity): + rv = self._eval_interval(x, hi, lo, _first=False) + if isinstance(rv, Piecewise): + rv = Piecewise(*[(-e, c) for e, c in rv.args]) + else: + rv = -rv + return rv + + if (lo < hi) is S.true or ( + hi is S.Infinity or lo is S.NegativeInfinity): + pass + else: + _a = Dummy('lo') + _b = Dummy('hi') + a = lo if lo.is_comparable else _a + b = hi if hi.is_comparable else _b + pos = self._eval_interval(x, a, b, _first=False) + if a == _a and b == _b: + # it's purely symbolic so just swap lo and hi and + # change the sign to get the value for when lo > hi + neg, pos = (-pos.xreplace({_a: hi, _b: lo}), + pos.xreplace({_a: lo, _b: hi})) + else: + # at least one of the bounds was comparable, so allow + # _eval_interval to use that information when computing + # the interval with lo and hi reversed + neg, pos = (-self._eval_interval(x, hi, lo, _first=False), + pos.xreplace({_a: lo, _b: hi})) + + # allow simplification based on ordering of lo and hi + p = Dummy('', positive=True) + if lo.is_Symbol: + pos = pos.xreplace({lo: hi - p}).xreplace({p: hi - lo}) + neg = neg.xreplace({lo: hi + p}).xreplace({p: lo - hi}) + elif hi.is_Symbol: + pos = pos.xreplace({hi: lo + p}).xreplace({p: hi - lo}) + neg = neg.xreplace({hi: lo - p}).xreplace({p: lo - hi}) + # evaluate limits that may have unevaluate Min/Max + touch = lambda _: _.replace( + lambda x: isinstance(x, (Min, Max)), + lambda x: x.func(*x.args)) + neg = touch(neg) + pos = touch(pos) + # assemble return expression; make the first condition be Lt + # b/c then the first expression will look the same whether + # the lo or hi limit is symbolic + if a == _a: # the lower limit was symbolic + rv = Piecewise( + (pos, + lo < hi), + (neg, + True)) + else: + rv = Piecewise( + (neg, + hi < lo), + (pos, + True)) + + if rv == Undefined: + raise ValueError("Can't integrate across undefined region.") + if any(isinstance(i, Piecewise) for i in (pos, neg)): + rv = piecewise_fold(rv) + return rv + + # handle a Piecewise with lo <= hi and no x-independent relationals + # ----------------------------------------------------------------- + ok, abei = self._intervals(x) + if not ok: + from sympy.integrals.integrals import Integral + # not being able to do the interval of f(x) can + # be stated as not being able to do the integral + # of f'(x) over the same range + return Integral(self.diff(x), (x, lo, hi)) # unevaluated + + pieces = [(a, b) for a, b, _, _ in abei] + done = [(lo, hi, -1)] + oo = S.Infinity + for k, p in enumerate(pieces): + if p[:2] == (-oo, oo): + # all undone intervals will get this key + for j, (a, b, i) in enumerate(done): + if i == -1: + done[j] = a, b, k + break # nothing else to consider + N = len(done) - 1 + for j, (a, b, i) in enumerate(reversed(done)): + if i == -1: + j = N - j + done[j: j + 1] = _clip(p, (a, b), k) + done = [(a, b, i) for a, b, i in done if a != b] + + # return the sum of the intervals + sum = S.Zero + upto = None + for a, b, i in done: + if i == -1: + if upto is None: + return Undefined + # TODO simplify hi <= upto + return Piecewise((sum, hi <= upto), (Undefined, True)) + sum += abei[i][-2]._eval_interval(x, a, b) + upto = b + return sum + + def _intervals(self, sym, err_on_Eq=False): + r"""Return a bool and a message (when bool is False), else a + list of unique tuples, (a, b, e, i), where a and b + are the lower and upper bounds in which the expression e of + argument i in self is defined and $a < b$ (when involving + numbers) or $a \le b$ when involving symbols. + + If there are any relationals not involving sym, or any + relational cannot be solved for sym, the bool will be False + a message be given as the second return value. The calling + routine should have removed such relationals before calling + this routine. + + The evaluated conditions will be returned as ranges. + Discontinuous ranges will be returned separately with + identical expressions. The first condition that evaluates to + True will be returned as the last tuple with a, b = -oo, oo. + """ + from sympy.solvers.inequalities import _solve_inequality + + assert isinstance(self, Piecewise) + + def nonsymfail(cond): + return False, filldedent(''' + A condition not involving + %s appeared: %s''' % (sym, cond)) + + def _solve_relational(r): + if sym not in r.free_symbols: + return nonsymfail(r) + try: + rv = _solve_inequality(r, sym) + except NotImplementedError: + return False, 'Unable to solve relational %s for %s.' % (r, sym) + if isinstance(rv, Relational): + free = rv.args[1].free_symbols + if rv.args[0] != sym or sym in free: + return False, 'Unable to solve relational %s for %s.' % (r, sym) + if rv.rel_op == '==': + # this equality has been affirmed to have the form + # Eq(sym, rhs) where rhs is sym-free; it represents + # a zero-width interval which will be ignored + # whether it is an isolated condition or contained + # within an And or an Or + rv = S.false + elif rv.rel_op == '!=': + try: + rv = Or(sym < rv.rhs, sym > rv.rhs) + except TypeError: + # e.g. x != I ==> all real x satisfy + rv = S.true + elif rv == (S.NegativeInfinity < sym) & (sym < S.Infinity): + rv = S.true + return True, rv + + args = list(self.args) + # make self canonical wrt Relationals + keys = self.atoms(Relational) + reps = {} + for r in keys: + ok, s = _solve_relational(r) + if ok != True: + return False, ok + reps[r] = s + # process args individually so if any evaluate, their position + # in the original Piecewise will be known + args = [i.xreplace(reps) for i in self.args] + + # precondition args + expr_cond = [] + default = idefault = None + for i, (expr, cond) in enumerate(args): + if cond is S.false: + continue + if cond is S.true: + default = expr + idefault = i + break + if isinstance(cond, Eq): + # unanticipated condition, but it is here in case a + # replacement caused an Eq to appear + if err_on_Eq: + return False, 'encountered Eq condition: %s' % cond + continue # zero width interval + + cond = to_cnf(cond) + if isinstance(cond, And): + cond = distribute_or_over_and(cond) + + if isinstance(cond, Or): + expr_cond.extend( + [(i, expr, o) for o in cond.args + if not isinstance(o, Eq)]) + elif cond is not S.false: + expr_cond.append((i, expr, cond)) + elif cond is S.true: + default = expr + idefault = i + break + + # determine intervals represented by conditions + int_expr = [] + for iarg, expr, cond in expr_cond: + if isinstance(cond, And): + lower = S.NegativeInfinity + upper = S.Infinity + exclude = [] + for cond2 in cond.args: + if not isinstance(cond2, Relational): + return False, 'expecting only Relationals' + if isinstance(cond2, Eq): + lower = upper # ignore + if err_on_Eq: + return False, 'encountered secondary Eq condition' + break + elif isinstance(cond2, Ne): + l, r = cond2.args + if l == sym: + exclude.append(r) + elif r == sym: + exclude.append(l) + else: + return nonsymfail(cond2) + continue + elif cond2.lts == sym: + upper = Min(cond2.gts, upper) + elif cond2.gts == sym: + lower = Max(cond2.lts, lower) + else: + return nonsymfail(cond2) # should never get here + if exclude: + exclude = list(ordered(exclude)) + newcond = [] + for i, e in enumerate(exclude): + if e < lower == True or e > upper == True: + continue + if not newcond: + newcond.append((None, lower)) # add a primer + newcond.append((newcond[-1][1], e)) + newcond.append((newcond[-1][1], upper)) + newcond.pop(0) # remove the primer + expr_cond.extend([(iarg, expr, And(i[0] < sym, sym < i[1])) for i in newcond]) + continue + elif isinstance(cond, Relational) and cond.rel_op != '!=': + lower, upper = cond.lts, cond.gts # part 1: initialize with givens + if cond.lts == sym: # part 1a: expand the side ... + lower = S.NegativeInfinity # e.g. x <= 0 ---> -oo <= 0 + elif cond.gts == sym: # part 1a: ... that can be expanded + upper = S.Infinity # e.g. x >= 0 ---> oo >= 0 + else: + return nonsymfail(cond) + else: + return False, 'unrecognized condition: %s' % cond + + upper = Max(lower, upper) + if err_on_Eq and lower == upper: + return False, 'encountered Eq condition' + if (lower >= upper) is not S.true: + int_expr.append((lower, upper, expr, iarg)) + + if default is not None: + int_expr.append( + (S.NegativeInfinity, S.Infinity, default, idefault)) + + return True, list(uniq(int_expr)) + + def _eval_nseries(self, x, n, logx, cdir=0): + args = [(ec.expr._eval_nseries(x, n, logx), ec.cond) for ec in self.args] + return self.func(*args) + + def _eval_power(self, s): + return self.func(*[(e**s, c) for e, c in self.args]) + + def _eval_subs(self, old, new): + # this is strictly not necessary, but we can keep track + # of whether True or False conditions arise and be + # somewhat more efficient by avoiding other substitutions + # and avoiding invalid conditions that appear after a + # True condition + args = list(self.args) + args_exist = False + for i, (e, c) in enumerate(args): + c = c._subs(old, new) + if c != False: + args_exist = True + e = e._subs(old, new) + args[i] = (e, c) + if c == True: + break + if not args_exist: + args = ((Undefined, True),) + return self.func(*args) + + def _eval_transpose(self): + return self.func(*[(e.transpose(), c) for e, c in self.args]) + + def _eval_template_is_attr(self, is_attr): + b = None + for expr, _ in self.args: + a = getattr(expr, is_attr) + if a is None: + return + if b is None: + b = a + elif b is not a: + return + return b + + _eval_is_finite = lambda self: self._eval_template_is_attr( + 'is_finite') + _eval_is_complex = lambda self: self._eval_template_is_attr('is_complex') + _eval_is_even = lambda self: self._eval_template_is_attr('is_even') + _eval_is_imaginary = lambda self: self._eval_template_is_attr( + 'is_imaginary') + _eval_is_integer = lambda self: self._eval_template_is_attr('is_integer') + _eval_is_irrational = lambda self: self._eval_template_is_attr( + 'is_irrational') + _eval_is_negative = lambda self: self._eval_template_is_attr('is_negative') + _eval_is_nonnegative = lambda self: self._eval_template_is_attr( + 'is_nonnegative') + _eval_is_nonpositive = lambda self: self._eval_template_is_attr( + 'is_nonpositive') + _eval_is_nonzero = lambda self: self._eval_template_is_attr( + 'is_nonzero') + _eval_is_odd = lambda self: self._eval_template_is_attr('is_odd') + _eval_is_polar = lambda self: self._eval_template_is_attr('is_polar') + _eval_is_positive = lambda self: self._eval_template_is_attr('is_positive') + _eval_is_extended_real = lambda self: self._eval_template_is_attr( + 'is_extended_real') + _eval_is_extended_positive = lambda self: self._eval_template_is_attr( + 'is_extended_positive') + _eval_is_extended_negative = lambda self: self._eval_template_is_attr( + 'is_extended_negative') + _eval_is_extended_nonzero = lambda self: self._eval_template_is_attr( + 'is_extended_nonzero') + _eval_is_extended_nonpositive = lambda self: self._eval_template_is_attr( + 'is_extended_nonpositive') + _eval_is_extended_nonnegative = lambda self: self._eval_template_is_attr( + 'is_extended_nonnegative') + _eval_is_real = lambda self: self._eval_template_is_attr('is_real') + _eval_is_zero = lambda self: self._eval_template_is_attr( + 'is_zero') + + @classmethod + def __eval_cond(cls, cond): + """Return the truth value of the condition.""" + if cond == True: + return True + if isinstance(cond, Eq): + try: + diff = cond.lhs - cond.rhs + if diff.is_commutative: + return diff.is_zero + except TypeError: + pass + + def as_expr_set_pairs(self, domain=None): + """Return tuples for each argument of self that give + the expression and the interval in which it is valid + which is contained within the given domain. + If a condition cannot be converted to a set, an error + will be raised. The variable of the conditions is + assumed to be real; sets of real values are returned. + + Examples + ======== + + >>> from sympy import Piecewise, Interval + >>> from sympy.abc import x + >>> p = Piecewise( + ... (1, x < 2), + ... (2,(x > 0) & (x < 4)), + ... (3, True)) + >>> p.as_expr_set_pairs() + [(1, Interval.open(-oo, 2)), + (2, Interval.Ropen(2, 4)), + (3, Interval(4, oo))] + >>> p.as_expr_set_pairs(Interval(0, 3)) + [(1, Interval.Ropen(0, 2)), + (2, Interval(2, 3))] + """ + if domain is None: + domain = S.Reals + exp_sets = [] + U = domain + complex = not domain.is_subset(S.Reals) + cond_free = set() + for expr, cond in self.args: + cond_free |= cond.free_symbols + if len(cond_free) > 1: + raise NotImplementedError(filldedent(''' + multivariate conditions are not handled.''')) + if complex: + for i in cond.atoms(Relational): + if not isinstance(i, (Eq, Ne)): + raise ValueError(filldedent(''' + Inequalities in the complex domain are + not supported. Try the real domain by + setting domain=S.Reals''')) + cond_int = U.intersect(cond.as_set()) + U = U - cond_int + if cond_int != S.EmptySet: + exp_sets.append((expr, cond_int)) + return exp_sets + + def _eval_rewrite_as_ITE(self, *args, **kwargs): + byfree = {} + args = list(args) + default = any(c == True for b, c in args) + for i, (b, c) in enumerate(args): + if not isinstance(b, Boolean) and b != True: + raise TypeError(filldedent(''' + Expecting Boolean or bool but got `%s` + ''' % func_name(b))) + if c == True: + break + # loop over independent conditions for this b + for c in c.args if isinstance(c, Or) else [c]: + free = c.free_symbols + x = free.pop() + try: + byfree[x] = byfree.setdefault( + x, S.EmptySet).union(c.as_set()) + except NotImplementedError: + if not default: + raise NotImplementedError(filldedent(''' + A method to determine whether a multivariate + conditional is consistent with a complete coverage + of all variables has not been implemented so the + rewrite is being stopped after encountering `%s`. + This error would not occur if a default expression + like `(foo, True)` were given. + ''' % c)) + if byfree[x] in (S.UniversalSet, S.Reals): + # collapse the ith condition to True and break + args[i] = list(args[i]) + c = args[i][1] = True + break + if c == True: + break + if c != True: + raise ValueError(filldedent(''' + Conditions must cover all reals or a final default + condition `(foo, True)` must be given. + ''')) + last, _ = args[i] # ignore all past ith arg + for a, c in reversed(args[:i]): + last = ITE(c, a, last) + return _canonical(last) + + def _eval_rewrite_as_KroneckerDelta(self, *args, **kwargs): + from sympy.functions.special.tensor_functions import KroneckerDelta + + rules = { + And: [False, False], + Or: [True, True], + Not: [True, False], + Eq: [None, None], + Ne: [None, None] + } + + class UnrecognizedCondition(Exception): + pass + + def rewrite(cond): + if isinstance(cond, Eq): + return KroneckerDelta(*cond.args) + if isinstance(cond, Ne): + return 1 - KroneckerDelta(*cond.args) + + cls, args = type(cond), cond.args + if cls not in rules: + raise UnrecognizedCondition(cls) + + b1, b2 = rules[cls] + k = Mul(*[1 - rewrite(c) for c in args]) if b1 else Mul(*[rewrite(c) for c in args]) + + if b2: + return 1 - k + return k + + conditions = [] + true_value = None + for value, cond in args: + if type(cond) in rules: + conditions.append((value, cond)) + elif cond is S.true: + if true_value is None: + true_value = value + else: + return + + if true_value is not None: + result = true_value + + for value, cond in conditions[::-1]: + try: + k = rewrite(cond) + result = k * value + (1 - k) * result + except UnrecognizedCondition: + return + + return result + + +def piecewise_fold(expr, evaluate=True): + """ + Takes an expression containing a piecewise function and returns the + expression in piecewise form. In addition, any ITE conditions are + rewritten in negation normal form and simplified. + + The final Piecewise is evaluated (default) but if the raw form + is desired, send ``evaluate=False``; if trivial evaluation is + desired, send ``evaluate=None`` and duplicate conditions and + processing of True and False will be handled. + + Examples + ======== + + >>> from sympy import Piecewise, piecewise_fold, S + >>> from sympy.abc import x + >>> p = Piecewise((x, x < 1), (1, S(1) <= x)) + >>> piecewise_fold(x*p) + Piecewise((x**2, x < 1), (x, True)) + + See Also + ======== + + Piecewise + piecewise_exclusive + """ + if not isinstance(expr, Basic) or not expr.has(Piecewise): + return expr + + new_args = [] + if isinstance(expr, (ExprCondPair, Piecewise)): + for e, c in expr.args: + if not isinstance(e, Piecewise): + e = piecewise_fold(e) + # we don't keep Piecewise in condition because + # it has to be checked to see that it's complete + # and we convert it to ITE at that time + assert not c.has(Piecewise) # pragma: no cover + if isinstance(c, ITE): + c = c.to_nnf() + c = simplify_logic(c, form='cnf') + if isinstance(e, Piecewise): + new_args.extend([(piecewise_fold(ei), And(ci, c)) + for ei, ci in e.args]) + else: + new_args.append((e, c)) + else: + # Given + # P1 = Piecewise((e11, c1), (e12, c2), A) + # P2 = Piecewise((e21, c1), (e22, c2), B) + # ... + # the folding of f(P1, P2) is trivially + # Piecewise( + # (f(e11, e21), c1), + # (f(e12, e22), c2), + # (f(Piecewise(A), Piecewise(B)), True)) + # Certain objects end up rewriting themselves as thus, so + # we do that grouping before the more generic folding. + # The following applies this idea when f = Add or f = Mul + # (and the expression is commutative). + if expr.is_Add or expr.is_Mul and expr.is_commutative: + p, args = sift(expr.args, lambda x: x.is_Piecewise, binary=True) + pc = sift(p, lambda x: tuple([c for e,c in x.args])) + for c in list(ordered(pc)): + if len(pc[c]) > 1: + pargs = [list(i.args) for i in pc[c]] + # the first one is the same; there may be more + com = common_prefix(*[ + [i.cond for i in j] for j in pargs]) + n = len(com) + collected = [] + for i in range(n): + collected.append(( + expr.func(*[ai[i].expr for ai in pargs]), + com[i])) + remains = [] + for a in pargs: + if n == len(a): # no more args + continue + if a[n].cond == True: # no longer Piecewise + remains.append(a[n].expr) + else: # restore the remaining Piecewise + remains.append( + Piecewise(*a[n:], evaluate=False)) + if remains: + collected.append((expr.func(*remains), True)) + args.append(Piecewise(*collected, evaluate=False)) + continue + args.extend(pc[c]) + else: + args = expr.args + # fold + folded = list(map(piecewise_fold, args)) + for ec in product(*[ + (i.args if isinstance(i, Piecewise) else + [(i, true)]) for i in folded]): + e, c = zip(*ec) + new_args.append((expr.func(*e), And(*c))) + + if evaluate is None: + # don't return duplicate conditions, otherwise don't evaluate + new_args = list(reversed([(e, c) for c, e in { + c: e for e, c in reversed(new_args)}.items()])) + rv = Piecewise(*new_args, evaluate=evaluate) + if evaluate is None and len(rv.args) == 1 and rv.args[0].cond == True: + return rv.args[0].expr + if any(s.expr.has(Piecewise) for p in rv.atoms(Piecewise) for s in p.args): + return piecewise_fold(rv) + return rv + + +def _clip(A, B, k): + """Return interval B as intervals that are covered by A (keyed + to k) and all other intervals of B not covered by A keyed to -1. + + The reference point of each interval is the rhs; if the lhs is + greater than the rhs then an interval of zero width interval will + result, e.g. (4, 1) is treated like (1, 1). + + Examples + ======== + + >>> from sympy.functions.elementary.piecewise import _clip + >>> from sympy import Tuple + >>> A = Tuple(1, 3) + >>> B = Tuple(2, 4) + >>> _clip(A, B, 0) + [(2, 3, 0), (3, 4, -1)] + + Interpretation: interval portion (2, 3) of interval (2, 4) is + covered by interval (1, 3) and is keyed to 0 as requested; + interval (3, 4) was not covered by (1, 3) and is keyed to -1. + """ + a, b = B + c, d = A + c, d = Min(Max(c, a), b), Min(Max(d, a), b) + a = Min(a, b) + p = [] + if a != c: + p.append((a, c, -1)) + else: + pass + if c != d: + p.append((c, d, k)) + else: + pass + if b != d: + if d == c and p and p[-1][-1] == -1: + p[-1] = p[-1][0], b, -1 + else: + p.append((d, b, -1)) + else: + pass + + return p + + +def piecewise_simplify_arguments(expr, **kwargs): + from sympy.simplify.simplify import simplify + + # simplify conditions + f1 = expr.args[0].cond.free_symbols + args = None + if len(f1) == 1 and not expr.atoms(Eq): + x = f1.pop() + # this won't return intervals involving Eq + # and it won't handle symbols treated as + # booleans + ok, abe_ = expr._intervals(x, err_on_Eq=True) + def include(c, x, a): + "return True if c.subs(x, a) is True, else False" + try: + return c.subs(x, a) == True + except TypeError: + return False + if ok: + args = [] + covered = S.EmptySet + from sympy.sets.sets import Interval + for a, b, e, i in abe_: + c = expr.args[i].cond + incl_a = include(c, x, a) + incl_b = include(c, x, b) + iv = Interval(a, b, not incl_a, not incl_b) + cset = iv - covered + if not cset: + continue + try: + a = cset.inf + except NotImplementedError: + pass # continue with the given `a` + else: + incl_a = include(c, x, a) + if incl_a and incl_b: + if a.is_infinite and b.is_infinite: + c = S.true + elif b.is_infinite: + c = (x > a) if a in covered else (x >= a) + elif a.is_infinite: + c = (x <= b) + elif a in covered: + c = And(a < x, x <= b) + else: + c = And(a <= x, x <= b) + elif incl_a: + if a.is_infinite: + c = (x < b) + elif a in covered: + c = And(a < x, x < b) + else: + c = And(a <= x, x < b) + elif incl_b: + if b.is_infinite: + c = (x > a) + else: + c = And(a < x, x <= b) + else: + if a in covered: + c = (x < b) + else: + c = And(a < x, x < b) + covered |= iv + if a is S.NegativeInfinity and incl_a: + covered |= {S.NegativeInfinity} + if b is S.Infinity and incl_b: + covered |= {S.Infinity} + args.append((e, c)) + if not S.Reals.is_subset(covered): + args.append((Undefined, True)) + if args is None: + args = list(expr.args) + for i in range(len(args)): + e, c = args[i] + if isinstance(c, Basic): + c = simplify(c, **kwargs) + args[i] = (e, c) + + # simplify expressions + doit = kwargs.pop('doit', None) + for i in range(len(args)): + e, c = args[i] + if isinstance(e, Basic): + # Skip doit to avoid growth at every call for some integrals + # and sums, see sympy/sympy#17165 + newe = simplify(e, doit=False, **kwargs) + if newe != e: + e = newe + args[i] = (e, c) + + # restore kwargs flag + if doit is not None: + kwargs['doit'] = doit + + return Piecewise(*args) + + +def _piecewise_collapse_arguments(_args): + newargs = [] # the unevaluated conditions + current_cond = set() # the conditions up to a given e, c pair + for expr, cond in _args: + cond = cond.replace( + lambda _: _.is_Relational, _canonical_coeff) + # Check here if expr is a Piecewise and collapse if one of + # the conds in expr matches cond. This allows the collapsing + # of Piecewise((Piecewise((x,x<0)),x<0)) to Piecewise((x,x<0)). + # This is important when using piecewise_fold to simplify + # multiple Piecewise instances having the same conds. + # Eventually, this code should be able to collapse Piecewise's + # having different intervals, but this will probably require + # using the new assumptions. + if isinstance(expr, Piecewise): + unmatching = [] + for i, (e, c) in enumerate(expr.args): + if c in current_cond: + # this would already have triggered + continue + if c == cond: + if c != True: + # nothing past this condition will ever + # trigger and only those args before this + # that didn't match a previous condition + # could possibly trigger + if unmatching: + expr = Piecewise(*( + unmatching + [(e, c)])) + else: + expr = e + break + else: + unmatching.append((e, c)) + + # check for condition repeats + got = False + # -- if an And contains a condition that was + # already encountered, then the And will be + # False: if the previous condition was False + # then the And will be False and if the previous + # condition is True then then we wouldn't get to + # this point. In either case, we can skip this condition. + for i in ([cond] + + (list(cond.args) if isinstance(cond, And) else + [])): + if i in current_cond: + got = True + break + if got: + continue + + # -- if not(c) is already in current_cond then c is + # a redundant condition in an And. This does not + # apply to Or, however: (e1, c), (e2, Or(~c, d)) + # is not (e1, c), (e2, d) because if c and d are + # both False this would give no results when the + # true answer should be (e2, True) + if isinstance(cond, And): + nonredundant = [] + for c in cond.args: + if isinstance(c, Relational): + if c.negated.canonical in current_cond: + continue + # if a strict inequality appears after + # a non-strict one, then the condition is + # redundant + if isinstance(c, (Lt, Gt)) and ( + c.weak in current_cond): + cond = False + break + nonredundant.append(c) + else: + cond = cond.func(*nonredundant) + elif isinstance(cond, Relational): + if cond.negated.canonical in current_cond: + cond = S.true + + current_cond.add(cond) + + # collect successive e,c pairs when exprs or cond match + if newargs: + if newargs[-1].expr == expr: + orcond = Or(cond, newargs[-1].cond) + if isinstance(orcond, (And, Or)): + orcond = distribute_and_over_or(orcond) + newargs[-1] = ExprCondPair(expr, orcond) + continue + elif newargs[-1].cond == cond: + continue + newargs.append(ExprCondPair(expr, cond)) + return newargs + + +_blessed = lambda e: getattr(e.lhs, '_diff_wrt', False) and ( + getattr(e.rhs, '_diff_wrt', None) or + isinstance(e.rhs, (Rational, NumberSymbol))) + + +def piecewise_simplify(expr, **kwargs): + expr = piecewise_simplify_arguments(expr, **kwargs) + if not isinstance(expr, Piecewise): + return expr + args = list(expr.args) + + args = _piecewise_simplify_eq_and(args) + args = _piecewise_simplify_equal_to_next_segment(args) + return Piecewise(*args) + + +def _piecewise_simplify_equal_to_next_segment(args): + """ + See if expressions valid for an Equal expression happens to evaluate + to the same function as in the next piecewise segment, see: + https://github.com/sympy/sympy/issues/8458 + """ + prevexpr = None + for i, (expr, cond) in reversed(list(enumerate(args))): + if prevexpr is not None: + if isinstance(cond, And): + eqs, other = sift(cond.args, + lambda i: isinstance(i, Eq), binary=True) + elif isinstance(cond, Eq): + eqs, other = [cond], [] + else: + eqs = other = [] + _prevexpr = prevexpr + _expr = expr + if eqs and not other: + eqs = list(ordered(eqs)) + for e in eqs: + # allow 2 args to collapse into 1 for any e + # otherwise limit simplification to only simple-arg + # Eq instances + if len(args) == 2 or _blessed(e): + _prevexpr = _prevexpr.subs(*e.args) + _expr = _expr.subs(*e.args) + # Did it evaluate to the same? + if _prevexpr == _expr: + # Set the expression for the Not equal section to the same + # as the next. These will be merged when creating the new + # Piecewise + args[i] = args[i].func(args[i + 1][0], cond) + else: + # Update the expression that we compare against + prevexpr = expr + else: + prevexpr = expr + return args + + +def _piecewise_simplify_eq_and(args): + """ + Try to simplify conditions and the expression for + equalities that are part of the condition, e.g. + Piecewise((n, And(Eq(n,0), Eq(n + m, 0))), (1, True)) + -> Piecewise((0, And(Eq(n, 0), Eq(m, 0))), (1, True)) + """ + for i, (expr, cond) in enumerate(args): + if isinstance(cond, And): + eqs, other = sift(cond.args, + lambda i: isinstance(i, Eq), binary=True) + elif isinstance(cond, Eq): + eqs, other = [cond], [] + else: + eqs = other = [] + if eqs: + eqs = list(ordered(eqs)) + for j, e in enumerate(eqs): + # these blessed lhs objects behave like Symbols + # and the rhs are simple replacements for the "symbols" + if _blessed(e): + expr = expr.subs(*e.args) + eqs[j + 1:] = [ei.subs(*e.args) for ei in eqs[j + 1:]] + other = [ei.subs(*e.args) for ei in other] + cond = And(*(eqs + other)) + args[i] = args[i].func(expr, cond) + return args + + +def piecewise_exclusive(expr, *, skip_nan=False, deep=True): + """ + Rewrite :class:`Piecewise` with mutually exclusive conditions. + + Explanation + =========== + + SymPy represents the conditions of a :class:`Piecewise` in an + "if-elif"-fashion, allowing more than one condition to be simultaneously + True. The interpretation is that the first condition that is True is the + case that holds. While this is a useful representation computationally it + is not how a piecewise formula is typically shown in a mathematical text. + The :func:`piecewise_exclusive` function can be used to rewrite any + :class:`Piecewise` with more typical mutually exclusive conditions. + + Note that further manipulation of the resulting :class:`Piecewise`, e.g. + simplifying it, will most likely make it non-exclusive. Hence, this is + primarily a function to be used in conjunction with printing the Piecewise + or if one would like to reorder the expression-condition pairs. + + If it is not possible to determine that all possibilities are covered by + the different cases of the :class:`Piecewise` then a final + :class:`~sympy.core.numbers.NaN` case will be included explicitly. This + can be prevented by passing ``skip_nan=True``. + + Examples + ======== + + >>> from sympy import piecewise_exclusive, Symbol, Piecewise, S + >>> x = Symbol('x', real=True) + >>> p = Piecewise((0, x < 0), (S.Half, x <= 0), (1, True)) + >>> piecewise_exclusive(p) + Piecewise((0, x < 0), (1/2, Eq(x, 0)), (1, x > 0)) + >>> piecewise_exclusive(Piecewise((2, x > 1))) + Piecewise((2, x > 1), (nan, x <= 1)) + >>> piecewise_exclusive(Piecewise((2, x > 1)), skip_nan=True) + Piecewise((2, x > 1)) + + Parameters + ========== + + expr: a SymPy expression. + Any :class:`Piecewise` in the expression will be rewritten. + skip_nan: ``bool`` (default ``False``) + If ``skip_nan`` is set to ``True`` then a final + :class:`~sympy.core.numbers.NaN` case will not be included. + deep: ``bool`` (default ``True``) + If ``deep`` is ``True`` then :func:`piecewise_exclusive` will rewrite + any :class:`Piecewise` subexpressions in ``expr`` rather than just + rewriting ``expr`` itself. + + Returns + ======= + + An expression equivalent to ``expr`` but where all :class:`Piecewise` have + been rewritten with mutually exclusive conditions. + + See Also + ======== + + Piecewise + piecewise_fold + """ + + def make_exclusive(*pwargs): + + cumcond = false + newargs = [] + + # Handle the first n-1 cases + for expr_i, cond_i in pwargs[:-1]: + cancond = And(cond_i, Not(cumcond)).simplify() + cumcond = Or(cond_i, cumcond).simplify() + newargs.append((expr_i, cancond)) + + # For the nth case defer simplification of cumcond + expr_n, cond_n = pwargs[-1] + cancond_n = And(cond_n, Not(cumcond)).simplify() + newargs.append((expr_n, cancond_n)) + + if not skip_nan: + cumcond = Or(cond_n, cumcond).simplify() + if cumcond is not true: + newargs.append((Undefined, Not(cumcond).simplify())) + + return Piecewise(*newargs, evaluate=False) + + if deep: + return expr.replace(Piecewise, make_exclusive) + elif isinstance(expr, Piecewise): + return make_exclusive(*expr.args) + else: + return expr diff --git 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0000000000000000000000000000000000000000..699c0fef966c99147b713aaa80710b7b8cf21c73 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/tests/test_complexes.py @@ -0,0 +1,1030 @@ +from sympy.core.function import (Derivative, Function, Lambda, expand, PoleError) +from sympy.core.numbers import (E, I, Rational, comp, nan, oo, pi, zoo) +from sympy.core.relational import Eq +from sympy.core.singleton import S +from sympy.core.symbol import (Symbol, symbols) +from sympy.functions.elementary.complexes import (Abs, adjoint, arg, conjugate, im, re, sign, transpose) +from sympy.functions.elementary.exponential import (exp, exp_polar, log) +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.piecewise import Piecewise +from sympy.functions.elementary.trigonometric import (acos, atan, atan2, cos, sin) +from sympy.functions.elementary.hyperbolic import sinh +from sympy.functions.special.delta_functions import (DiracDelta, Heaviside) +from sympy.integrals.integrals import Integral +from sympy.matrices.dense import Matrix +from sympy.matrices.expressions.funcmatrix import FunctionMatrix +from sympy.matrices.expressions.matexpr import MatrixSymbol +from sympy.matrices.immutable import (ImmutableMatrix, ImmutableSparseMatrix) +from sympy.matrices import SparseMatrix +from sympy.sets.sets import Interval +from sympy.core.expr import unchanged +from sympy.core.function import ArgumentIndexError +from sympy.series.order import Order +from sympy.testing.pytest import XFAIL, raises, _both_exp_pow + + +def N_equals(a, b): + """Check whether two complex numbers are numerically close""" + return comp(a.n(), b.n(), 1.e-6) + + +def test_re(): + x, y = symbols('x,y') + a, b = symbols('a,b', real=True) + + r = Symbol('r', real=True) + i = Symbol('i', imaginary=True) + + assert re(nan) is nan + + assert re(oo) is oo + assert re(-oo) is -oo + + assert re(0) == 0 + + assert re(1) == 1 + assert re(-1) == -1 + + assert re(E) == E + assert re(-E) == -E + + assert unchanged(re, x) + assert re(x*I) == -im(x) + assert re(r*I) == 0 + assert re(r) == r + assert re(i*I) == I * i + assert re(i) == 0 + + assert re(x + y) == re(x) + re(y) + assert re(x + r) == re(x) + r + + assert re(re(x)) == re(x) + + assert re(2 + I) == 2 + assert re(x + I) == re(x) + + assert re(x + y*I) == re(x) - im(y) + assert re(x + r*I) == re(x) + + assert re(log(2*I)) == log(2) + + assert re((2 + I)**2).expand(complex=True) == 3 + + assert re(conjugate(x)) == re(x) + assert conjugate(re(x)) == re(x) + + assert re(x).as_real_imag() == (re(x), 0) + + assert re(i*r*x).diff(r) == re(i*x) + assert re(i*r*x).diff(i) == I*r*im(x) + + assert re( + sqrt(a + b*I)) == (a**2 + b**2)**Rational(1, 4)*cos(atan2(b, a)/2) + assert re(a * (2 + b*I)) == 2*a + + assert re((1 + sqrt(a + b*I))/2) == \ + (a**2 + b**2)**Rational(1, 4)*cos(atan2(b, a)/2)/2 + S.Half + + assert re(x).rewrite(im) == x - S.ImaginaryUnit*im(x) + assert (x + re(y)).rewrite(re, im) == x + y - S.ImaginaryUnit*im(y) + + a = Symbol('a', algebraic=True) + t = Symbol('t', transcendental=True) + x = Symbol('x') + assert re(a).is_algebraic + assert re(x).is_algebraic is None + assert re(t).is_algebraic is False + + assert re(S.ComplexInfinity) is S.NaN + + n, m, l = symbols('n m l') + A = MatrixSymbol('A',n,m) + assert re(A) == (S.Half) * (A + conjugate(A)) + + A = Matrix([[1 + 4*I,2],[0, -3*I]]) + assert re(A) == Matrix([[1, 2],[0, 0]]) + + A = ImmutableMatrix([[1 + 3*I, 3-2*I],[0, 2*I]]) + assert re(A) == ImmutableMatrix([[1, 3],[0, 0]]) + + X = SparseMatrix([[2*j + i*I for i in range(5)] for j in range(5)]) + assert re(X) - Matrix([[0, 0, 0, 0, 0], + [2, 2, 2, 2, 2], + [4, 4, 4, 4, 4], + [6, 6, 6, 6, 6], + [8, 8, 8, 8, 8]]) == Matrix.zeros(5) + + assert im(X) - Matrix([[0, 1, 2, 3, 4], + [0, 1, 2, 3, 4], + [0, 1, 2, 3, 4], + [0, 1, 2, 3, 4], + [0, 1, 2, 3, 4]]) == Matrix.zeros(5) + + X = FunctionMatrix(3, 3, Lambda((n, m), n + m*I)) + assert re(X) == Matrix([[0, 0, 0], [1, 1, 1], [2, 2, 2]]) + + +def test_im(): + x, y = symbols('x,y') + a, b = symbols('a,b', real=True) + + r = Symbol('r', real=True) + i = Symbol('i', imaginary=True) + + assert im(nan) is nan + + assert im(oo*I) is oo + assert im(-oo*I) is -oo + + assert im(0) == 0 + + assert im(1) == 0 + assert im(-1) == 0 + + assert im(E*I) == E + assert im(-E*I) == -E + + assert unchanged(im, x) + assert im(x*I) == re(x) + assert im(r*I) == r + assert im(r) == 0 + assert im(i*I) == 0 + assert im(i) == -I * i + + assert im(x + y) == im(x) + im(y) + assert im(x + r) == im(x) + assert im(x + r*I) == im(x) + r + + assert im(im(x)*I) == im(x) + + assert im(2 + I) == 1 + assert im(x + I) == im(x) + 1 + + assert im(x + y*I) == im(x) + re(y) + assert im(x + r*I) == im(x) + r + + assert im(log(2*I)) == pi/2 + + assert im((2 + I)**2).expand(complex=True) == 4 + + assert im(conjugate(x)) == -im(x) + assert conjugate(im(x)) == im(x) + + assert im(x).as_real_imag() == (im(x), 0) + + assert im(i*r*x).diff(r) == im(i*x) + assert im(i*r*x).diff(i) == -I * re(r*x) + + assert im( + sqrt(a + b*I)) == (a**2 + b**2)**Rational(1, 4)*sin(atan2(b, a)/2) + assert im(a * (2 + b*I)) == a*b + + assert im((1 + sqrt(a + b*I))/2) == \ + (a**2 + b**2)**Rational(1, 4)*sin(atan2(b, a)/2)/2 + + assert im(x).rewrite(re) == -S.ImaginaryUnit * (x - re(x)) + assert (x + im(y)).rewrite(im, re) == x - S.ImaginaryUnit * (y - re(y)) + + a = Symbol('a', algebraic=True) + t = Symbol('t', transcendental=True) + x = Symbol('x') + assert re(a).is_algebraic + assert re(x).is_algebraic is None + assert re(t).is_algebraic is False + + assert im(S.ComplexInfinity) is S.NaN + + n, m, l = symbols('n m l') + A = MatrixSymbol('A',n,m) + + assert im(A) == (S.One/(2*I)) * (A - conjugate(A)) + + A = Matrix([[1 + 4*I, 2],[0, -3*I]]) + assert im(A) == Matrix([[4, 0],[0, -3]]) + + A = ImmutableMatrix([[1 + 3*I, 3-2*I],[0, 2*I]]) + assert im(A) == ImmutableMatrix([[3, -2],[0, 2]]) + + X = ImmutableSparseMatrix( + [[i*I + i for i in range(5)] for i in range(5)]) + Y = SparseMatrix([list(range(5)) for i in range(5)]) + assert im(X).as_immutable() == Y + + X = FunctionMatrix(3, 3, Lambda((n, m), n + m*I)) + assert im(X) == Matrix([[0, 1, 2], [0, 1, 2], [0, 1, 2]]) + +def test_sign(): + assert sign(1.2) == 1 + assert sign(-1.2) == -1 + assert sign(3*I) == I + assert sign(-3*I) == -I + assert sign(0) == 0 + assert sign(0, evaluate=False).doit() == 0 + assert sign(oo, evaluate=False).doit() == 1 + assert sign(nan) is nan + assert sign(2 + 2*I).doit() == sqrt(2)*(2 + 2*I)/4 + assert sign(2 + 3*I).simplify() == sign(2 + 3*I) + assert sign(2 + 2*I).simplify() == sign(1 + I) + assert sign(im(sqrt(1 - sqrt(3)))) == 1 + assert sign(sqrt(1 - sqrt(3))) == I + + x = Symbol('x') + assert sign(x).is_finite is True + assert sign(x).is_complex is True + assert sign(x).is_imaginary is None + assert sign(x).is_integer is None + assert sign(x).is_real is None + assert sign(x).is_zero is None + assert sign(x).doit() == sign(x) + assert sign(1.2*x) == sign(x) + assert sign(2*x) == sign(x) + assert sign(I*x) == I*sign(x) + assert sign(-2*I*x) == -I*sign(x) + assert sign(conjugate(x)) == conjugate(sign(x)) + + p = Symbol('p', positive=True) + n = Symbol('n', negative=True) + m = Symbol('m', negative=True) + assert sign(2*p*x) == sign(x) + assert sign(n*x) == -sign(x) + assert sign(n*m*x) == sign(x) + + x = Symbol('x', imaginary=True) + assert sign(x).is_imaginary is True + assert sign(x).is_integer is False + assert sign(x).is_real is False + assert sign(x).is_zero is False + assert sign(x).diff(x) == 2*DiracDelta(-I*x) + assert sign(x).doit() == x / Abs(x) + assert conjugate(sign(x)) == -sign(x) + + x = Symbol('x', real=True) + assert sign(x).is_imaginary is False + assert sign(x).is_integer is True + assert sign(x).is_real is True + assert sign(x).is_zero is None + assert sign(x).diff(x) == 2*DiracDelta(x) + assert sign(x).doit() == sign(x) + assert conjugate(sign(x)) == sign(x) + + x = Symbol('x', nonzero=True) + assert sign(x).is_imaginary is False + assert sign(x).is_integer is True + assert sign(x).is_real is True + assert sign(x).is_zero is False + assert sign(x).doit() == x / Abs(x) + assert sign(Abs(x)) == 1 + assert Abs(sign(x)) == 1 + + x = Symbol('x', positive=True) + assert sign(x).is_imaginary is False + assert sign(x).is_integer is True + assert sign(x).is_real is True + assert sign(x).is_zero is False + assert sign(x).doit() == x / Abs(x) + assert sign(Abs(x)) == 1 + assert Abs(sign(x)) == 1 + + x = 0 + assert sign(x).is_imaginary is False + assert sign(x).is_integer is True + assert sign(x).is_real is True + assert sign(x).is_zero is True + assert sign(x).doit() == 0 + assert sign(Abs(x)) == 0 + assert Abs(sign(x)) == 0 + + nz = Symbol('nz', nonzero=True, integer=True) + assert sign(nz).is_imaginary is False + assert sign(nz).is_integer is True + assert sign(nz).is_real is True + assert sign(nz).is_zero is False + assert sign(nz)**2 == 1 + assert (sign(nz)**3).args == (sign(nz), 3) + + assert sign(Symbol('x', nonnegative=True)).is_nonnegative + assert sign(Symbol('x', nonnegative=True)).is_nonpositive is None + assert sign(Symbol('x', nonpositive=True)).is_nonnegative is None + assert sign(Symbol('x', nonpositive=True)).is_nonpositive + assert sign(Symbol('x', real=True)).is_nonnegative is None + assert sign(Symbol('x', real=True)).is_nonpositive is None + assert sign(Symbol('x', real=True, zero=False)).is_nonpositive is None + + x, y = Symbol('x', real=True), Symbol('y') + f = Function('f') + assert sign(x).rewrite(Piecewise) == \ + Piecewise((1, x > 0), (-1, x < 0), (0, True)) + assert sign(y).rewrite(Piecewise) == sign(y) + assert sign(x).rewrite(Heaviside) == 2*Heaviside(x, H0=S(1)/2) - 1 + assert sign(y).rewrite(Heaviside) == sign(y) + assert sign(y).rewrite(Abs) == Piecewise((0, Eq(y, 0)), (y/Abs(y), True)) + assert sign(f(y)).rewrite(Abs) == Piecewise((0, Eq(f(y), 0)), (f(y)/Abs(f(y)), True)) + + # evaluate what can be evaluated + assert sign(exp_polar(I*pi)*pi) is S.NegativeOne + + eq = -sqrt(10 + 6*sqrt(3)) + sqrt(1 + sqrt(3)) + sqrt(3 + 3*sqrt(3)) + # if there is a fast way to know when and when you cannot prove an + # expression like this is zero then the equality to zero is ok + assert sign(eq).func is sign or sign(eq) == 0 + # but sometimes it's hard to do this so it's better not to load + # abs down with tests that will be very slow + q = 1 + sqrt(2) - 2*sqrt(3) + 1331*sqrt(6) + p = expand(q**3)**Rational(1, 3) + d = p - q + assert sign(d).func is sign or sign(d) == 0 + + +def test_as_real_imag(): + n = pi**1000 + # the special code for working out the real + # and complex parts of a power with Integer exponent + # should not run if there is no imaginary part, hence + # this should not hang + assert n.as_real_imag() == (n, 0) + + # issue 6261 + x = Symbol('x') + assert sqrt(x).as_real_imag() == \ + ((re(x)**2 + im(x)**2)**Rational(1, 4)*cos(atan2(im(x), re(x))/2), + (re(x)**2 + im(x)**2)**Rational(1, 4)*sin(atan2(im(x), re(x))/2)) + + # issue 3853 + a, b = symbols('a,b', real=True) + assert ((1 + sqrt(a + b*I))/2).as_real_imag() == \ + ( + (a**2 + b**2)**Rational( + 1, 4)*cos(atan2(b, a)/2)/2 + S.Half, + (a**2 + b**2)**Rational(1, 4)*sin(atan2(b, a)/2)/2) + + assert sqrt(a**2).as_real_imag() == (sqrt(a**2), 0) + i = symbols('i', imaginary=True) + assert sqrt(i**2).as_real_imag() == (0, abs(i)) + + assert ((1 + I)/(1 - I)).as_real_imag() == (0, 1) + assert ((1 + I)**3/(1 - I)).as_real_imag() == (-2, 0) + + +@XFAIL +def test_sign_issue_3068(): + n = pi**1000 + i = int(n) + x = Symbol('x') + assert (n - i).round() == 1 # doesn't hang + assert sign(n - i) == 1 + # perhaps it's not possible to get the sign right when + # only 1 digit is being requested for this situation; + # 2 digits works + assert (n - x).n(1, subs={x: i}) > 0 + assert (n - x).n(2, subs={x: i}) > 0 + + +def test_Abs(): + raises(TypeError, lambda: Abs(Interval(2, 3))) # issue 8717 + + x, y = symbols('x,y') + assert sign(sign(x)) == sign(x) + assert sign(x*y).func is sign + assert Abs(0) == 0 + assert Abs(1) == 1 + assert Abs(-1) == 1 + assert Abs(I) == 1 + assert Abs(-I) == 1 + assert Abs(nan) is nan + assert Abs(zoo) is oo + assert Abs(I * pi) == pi + assert Abs(-I * pi) == pi + assert Abs(I * x) == Abs(x) + assert Abs(-I * x) == Abs(x) + assert Abs(-2*x) == 2*Abs(x) + assert Abs(-2.0*x) == 2.0*Abs(x) + assert Abs(2*pi*x*y) == 2*pi*Abs(x*y) + assert Abs(conjugate(x)) == Abs(x) + assert conjugate(Abs(x)) == Abs(x) + assert Abs(x).expand(complex=True) == sqrt(re(x)**2 + im(x)**2) + + a = Symbol('a', positive=True) + assert Abs(2*pi*x*a) == 2*pi*a*Abs(x) + assert Abs(2*pi*I*x*a) == 2*pi*a*Abs(x) + + x = Symbol('x', real=True) + n = Symbol('n', integer=True) + assert Abs((-1)**n) == 1 + assert x**(2*n) == Abs(x)**(2*n) + assert Abs(x).diff(x) == sign(x) + assert abs(x) == Abs(x) # Python built-in + assert Abs(x)**3 == x**2*Abs(x) + assert Abs(x)**4 == x**4 + assert ( + Abs(x)**(3*n)).args == (Abs(x), 3*n) # leave symbolic odd unchanged + assert (1/Abs(x)).args == (Abs(x), -1) + assert 1/Abs(x)**3 == 1/(x**2*Abs(x)) + assert Abs(x)**-3 == Abs(x)/(x**4) + assert Abs(x**3) == x**2*Abs(x) + assert Abs(I**I) == exp(-pi/2) + assert Abs((4 + 5*I)**(6 + 7*I)) == 68921*exp(-7*atan(Rational(5, 4))) + y = Symbol('y', real=True) + assert Abs(I**y) == 1 + y = Symbol('y') + assert Abs(I**y) == exp(-pi*im(y)/2) + + x = Symbol('x', imaginary=True) + assert Abs(x).diff(x) == -sign(x) + + eq = -sqrt(10 + 6*sqrt(3)) + sqrt(1 + sqrt(3)) + sqrt(3 + 3*sqrt(3)) + # if there is a fast way to know when you can and when you cannot prove an + # expression like this is zero then the equality to zero is ok + assert abs(eq).func is Abs or abs(eq) == 0 + # but sometimes it's hard to do this so it's better not to load + # abs down with tests that will be very slow + q = 1 + sqrt(2) - 2*sqrt(3) + 1331*sqrt(6) + p = expand(q**3)**Rational(1, 3) + d = p - q + assert abs(d).func is Abs or abs(d) == 0 + + assert Abs(4*exp(pi*I/4)) == 4 + assert Abs(3**(2 + I)) == 9 + assert Abs((-3)**(1 - I)) == 3*exp(pi) + + assert Abs(oo) is oo + assert Abs(-oo) is oo + assert Abs(oo + I) is oo + assert Abs(oo + I*oo) is oo + + a = Symbol('a', algebraic=True) + t = Symbol('t', transcendental=True) + x = Symbol('x') + assert re(a).is_algebraic + assert re(x).is_algebraic is None + assert re(t).is_algebraic is False + assert Abs(x).fdiff() == sign(x) + raises(ArgumentIndexError, lambda: Abs(x).fdiff(2)) + + # doesn't have recursion error + arg = sqrt(acos(1 - I)*acos(1 + I)) + assert abs(arg) == arg + + # special handling to put Abs in denom + assert abs(1/x) == 1/Abs(x) + e = abs(2/x**2) + assert e.is_Mul and e == 2/Abs(x**2) + assert unchanged(Abs, y/x) + assert unchanged(Abs, x/(x + 1)) + assert unchanged(Abs, x*y) + p = Symbol('p', positive=True) + assert abs(x/p) == abs(x)/p + + # coverage + assert unchanged(Abs, Symbol('x', real=True)**y) + # issue 19627 + f = Function('f', positive=True) + assert sqrt(f(x)**2) == f(x) + # issue 21625 + assert unchanged(Abs, S("im(acos(-i + acosh(-g + i)))")) + + +def test_Abs_rewrite(): + x = Symbol('x', real=True) + a = Abs(x).rewrite(Heaviside).expand() + assert a == x*Heaviside(x) - x*Heaviside(-x) + for i in [-2, -1, 0, 1, 2]: + assert a.subs(x, i) == abs(i) + y = Symbol('y') + assert Abs(y).rewrite(Heaviside) == Abs(y) + + x, y = Symbol('x', real=True), Symbol('y') + assert Abs(x).rewrite(Piecewise) == Piecewise((x, x >= 0), (-x, True)) + assert Abs(y).rewrite(Piecewise) == Abs(y) + assert Abs(y).rewrite(sign) == y/sign(y) + + i = Symbol('i', imaginary=True) + assert abs(i).rewrite(Piecewise) == Piecewise((I*i, I*i >= 0), (-I*i, True)) + + + assert Abs(y).rewrite(conjugate) == sqrt(y*conjugate(y)) + assert Abs(i).rewrite(conjugate) == sqrt(-i**2) # == -I*i + + y = Symbol('y', extended_real=True) + assert (Abs(exp(-I*x)-exp(-I*y))**2).rewrite(conjugate) == \ + -exp(I*x)*exp(-I*y) + 2 - exp(-I*x)*exp(I*y) + + +def test_Abs_real(): + # test some properties of abs that only apply + # to real numbers + x = Symbol('x', complex=True) + assert sqrt(x**2) != Abs(x) + assert Abs(x**2) != x**2 + + x = Symbol('x', real=True) + assert sqrt(x**2) == Abs(x) + assert Abs(x**2) == x**2 + + # if the symbol is zero, the following will still apply + nn = Symbol('nn', nonnegative=True, real=True) + np = Symbol('np', nonpositive=True, real=True) + assert Abs(nn) == nn + assert Abs(np) == -np + + +def test_Abs_properties(): + x = Symbol('x') + assert Abs(x).is_real is None + assert Abs(x).is_extended_real is True + assert Abs(x).is_rational is None + assert Abs(x).is_positive is None + assert Abs(x).is_nonnegative is None + assert Abs(x).is_extended_positive is None + assert Abs(x).is_extended_nonnegative is True + + f = Symbol('x', finite=True) + assert Abs(f).is_real is True + assert Abs(f).is_extended_real is True + assert Abs(f).is_rational is None + assert Abs(f).is_positive is None + assert Abs(f).is_nonnegative is True + assert Abs(f).is_extended_positive is None + assert Abs(f).is_extended_nonnegative is True + + z = Symbol('z', complex=True, zero=False) + assert Abs(z).is_real is True # since complex implies finite + assert Abs(z).is_extended_real is True + assert Abs(z).is_rational is None + assert Abs(z).is_positive is True + assert Abs(z).is_extended_positive is True + assert Abs(z).is_zero is False + + p = Symbol('p', positive=True) + assert Abs(p).is_real is True + assert Abs(p).is_extended_real is True + assert Abs(p).is_rational is None + assert Abs(p).is_positive is True + assert Abs(p).is_zero is False + + q = Symbol('q', rational=True) + assert Abs(q).is_real is True + assert Abs(q).is_rational is True + assert Abs(q).is_integer is None + assert Abs(q).is_positive is None + assert Abs(q).is_nonnegative is True + + i = Symbol('i', integer=True) + assert Abs(i).is_real is True + assert Abs(i).is_integer is True + assert Abs(i).is_positive is None + assert Abs(i).is_nonnegative is True + + e = Symbol('n', even=True) + ne = Symbol('ne', real=True, even=False) + assert Abs(e).is_even is True + assert Abs(ne).is_even is False + assert Abs(i).is_even is None + + o = Symbol('n', odd=True) + no = Symbol('no', real=True, odd=False) + assert Abs(o).is_odd is True + assert Abs(no).is_odd is False + assert Abs(i).is_odd is None + + +def test_abs(): + # this tests that abs calls Abs; don't rename to + # test_Abs since that test is already above + a = Symbol('a', positive=True) + assert abs(I*(1 + a)**2) == (1 + a)**2 + + +def test_arg(): + assert arg(0) is nan + assert arg(1) == 0 + assert arg(-1) == pi + assert arg(I) == pi/2 + assert arg(-I) == -pi/2 + assert arg(1 + I) == pi/4 + assert arg(-1 + I) == pi*Rational(3, 4) + assert arg(1 - I) == -pi/4 + assert arg(exp_polar(4*pi*I)) == 4*pi + assert arg(exp_polar(-7*pi*I)) == -7*pi + assert arg(exp_polar(5 - 3*pi*I/4)) == pi*Rational(-3, 4) + + assert arg(exp(I*pi/7)) == pi/7 # issue 17300 + assert arg(exp(16*I)) == 16 - 6*pi + assert arg(exp(13*I*pi/12)) == -11*pi/12 + assert arg(exp(123 - 5*I)) == -5 + 2*pi + assert arg(exp(sin(1 + 3*I))) == -2*pi + cos(1)*sinh(3) + r = Symbol('r', real=True) + assert arg(exp(r - 2*I)) == -2 + + f = Function('f') + assert not arg(f(0) + I*f(1)).atoms(re) + + # check nesting + x = Symbol('x') + assert arg(arg(arg(x))) is not S.NaN + assert arg(arg(arg(arg(x)))) is S.NaN + r = Symbol('r', extended_real=True) + assert arg(arg(r)) is not S.NaN + assert arg(arg(arg(r))) is S.NaN + + p = Function('p', extended_positive=True) + assert arg(p(x)) == 0 + assert arg((3 + I)*p(x)) == arg(3 + I) + + p = Symbol('p', positive=True) + assert arg(p) == 0 + assert arg(p*I) == pi/2 + + n = Symbol('n', negative=True) + assert arg(n) == pi + assert arg(n*I) == -pi/2 + + x = Symbol('x') + assert conjugate(arg(x)) == arg(x) + + e = p + I*p**2 + assert arg(e) == arg(1 + p*I) + # make sure sign doesn't swap + e = -2*p + 4*I*p**2 + assert arg(e) == arg(-1 + 2*p*I) + # make sure sign isn't lost + x = symbols('x', real=True) # could be zero + e = x + I*x + assert arg(e) == arg(x*(1 + I)) + assert arg(e/p) == arg(x*(1 + I)) + e = p*cos(p) + I*log(p)*exp(p) + assert arg(e).args[0] == e + # keep it simple -- let the user do more advanced cancellation + e = (p + 1) + I*(p**2 - 1) + assert arg(e).args[0] == e + + f = Function('f') + e = 2*x*(f(0) - 1) - 2*x*f(0) + assert arg(e) == arg(-2*x) + assert arg(f(0)).func == arg and arg(f(0)).args == (f(0),) + + +def test_arg_rewrite(): + assert arg(1 + I) == atan2(1, 1) + + x = Symbol('x', real=True) + y = Symbol('y', real=True) + assert arg(x + I*y).rewrite(atan2) == atan2(y, x) + + +def test_arg_leading_term_and_series(): + x = Symbol('x') + assert arg(x).as_leading_term(x, cdir = 1) == 0 + assert arg(x).as_leading_term(x, cdir = -1) == pi + raises(PoleError, lambda: arg(x + I).as_leading_term(x, cdir = 1)) + raises(PoleError, lambda: arg(2*x).as_leading_term(x, cdir = I)) + + assert arg(x).nseries(x) == 0 + assert arg(x).nseries(x, n=0) == Order(1) + + +def test_adjoint(): + a = Symbol('a', antihermitian=True) + b = Symbol('b', hermitian=True) + assert adjoint(a) == -a + assert adjoint(I*a) == I*a + assert adjoint(b) == b + assert adjoint(I*b) == -I*b + assert adjoint(a*b) == -b*a + assert adjoint(I*a*b) == I*b*a + + x, y = symbols('x y') + assert adjoint(adjoint(x)) == x + assert adjoint(x + y) == conjugate(x) + conjugate(y) + assert adjoint(x - y) == conjugate(x) - conjugate(y) + assert adjoint(x * y) == conjugate(x) * conjugate(y) + assert adjoint(x / y) == conjugate(x) / conjugate(y) + assert adjoint(-x) == -conjugate(x) + + x, y = symbols('x y', commutative=False) + assert adjoint(adjoint(x)) == x + assert adjoint(x + y) == adjoint(x) + adjoint(y) + assert adjoint(x - y) == adjoint(x) - adjoint(y) + assert adjoint(x * y) == adjoint(y) * adjoint(x) + assert adjoint(x / y) == 1 / adjoint(y) * adjoint(x) + assert adjoint(-x) == -adjoint(x) + + +def test_conjugate(): + a = Symbol('a', real=True) + b = Symbol('b', imaginary=True) + assert conjugate(a) == a + assert conjugate(I*a) == -I*a + assert conjugate(b) == -b + assert conjugate(I*b) == I*b + assert conjugate(a*b) == -a*b + assert conjugate(I*a*b) == I*a*b + + x, y = symbols('x y') + assert conjugate(conjugate(x)) == x + assert conjugate(x).inverse() == conjugate + assert conjugate(x + y) == conjugate(x) + conjugate(y) + assert conjugate(x - y) == conjugate(x) - conjugate(y) + assert conjugate(x * y) == conjugate(x) * conjugate(y) + assert conjugate(x / y) == conjugate(x) / conjugate(y) + assert conjugate(-x) == -conjugate(x) + + a = Symbol('a', algebraic=True) + t = Symbol('t', transcendental=True) + assert re(a).is_algebraic + assert re(x).is_algebraic is None + assert re(t).is_algebraic is False + + +def test_conjugate_transpose(): + x = Symbol('x', commutative=False) + assert conjugate(transpose(x)) == adjoint(x) + assert transpose(conjugate(x)) == adjoint(x) + assert adjoint(transpose(x)) == conjugate(x) + assert transpose(adjoint(x)) == conjugate(x) + assert adjoint(conjugate(x)) == transpose(x) + assert conjugate(adjoint(x)) == transpose(x) + + x = Symbol('x') + assert conjugate(x) == adjoint(x) + assert transpose(x) == x + + +def test_transpose(): + a = Symbol('a', complex=True) + assert transpose(a) == a + assert transpose(I*a) == I*a + + x, y = symbols('x y') + assert transpose(transpose(x)) == x + assert transpose(x + y) == x + y + assert transpose(x - y) == x - y + assert transpose(x * y) == x * y + assert transpose(x / y) == x / y + assert transpose(-x) == -x + + x, y = symbols('x y', commutative=False) + assert transpose(transpose(x)) == x + assert transpose(x + y) == transpose(x) + transpose(y) + assert transpose(x - y) == transpose(x) - transpose(y) + assert transpose(x * y) == transpose(y) * transpose(x) + assert transpose(x / y) == 1 / transpose(y) * transpose(x) + assert transpose(-x) == -transpose(x) + + +@_both_exp_pow +def test_polarify(): + from sympy.functions.elementary.complexes import (polar_lift, polarify) + x = Symbol('x') + z = Symbol('z', polar=True) + f = Function('f') + ES = {} + + assert polarify(-1) == (polar_lift(-1), ES) + assert polarify(1 + I) == (polar_lift(1 + I), ES) + + assert polarify(exp(x), subs=False) == exp(x) + assert polarify(1 + x, subs=False) == 1 + x + assert polarify(f(I) + x, subs=False) == f(polar_lift(I)) + x + + assert polarify(x, lift=True) == polar_lift(x) + assert polarify(z, lift=True) == z + assert polarify(f(x), lift=True) == f(polar_lift(x)) + assert polarify(1 + x, lift=True) == polar_lift(1 + x) + assert polarify(1 + f(x), lift=True) == polar_lift(1 + f(polar_lift(x))) + + newex, subs = polarify(f(x) + z) + assert newex.subs(subs) == f(x) + z + + mu = Symbol("mu") + sigma = Symbol("sigma", positive=True) + + # Make sure polarify(lift=True) doesn't try to lift the integration + # variable + assert polarify( + Integral(sqrt(2)*x*exp(-(-mu + x)**2/(2*sigma**2))/(2*sqrt(pi)*sigma), + (x, -oo, oo)), lift=True) == Integral(sqrt(2)*(sigma*exp_polar(0))**exp_polar(I*pi)* + exp((sigma*exp_polar(0))**(2*exp_polar(I*pi))*exp_polar(I*pi)*polar_lift(-mu + x)** + (2*exp_polar(0))/2)*exp_polar(0)*polar_lift(x)/(2*sqrt(pi)), (x, -oo, oo)) + + +def test_unpolarify(): + from sympy.functions.elementary.complexes import (polar_lift, principal_branch, unpolarify) + from sympy.core.relational import Ne + from sympy.functions.elementary.hyperbolic import tanh + from sympy.functions.special.error_functions import erf + from sympy.functions.special.gamma_functions import (gamma, uppergamma) + from sympy.abc import x + p = exp_polar(7*I) + 1 + u = exp(7*I) + 1 + + assert unpolarify(1) == 1 + assert unpolarify(p) == u + assert unpolarify(p**2) == u**2 + assert unpolarify(p**x) == p**x + assert unpolarify(p*x) == u*x + assert unpolarify(p + x) == u + x + assert unpolarify(sqrt(sin(p))) == sqrt(sin(u)) + + # Test reduction to principal branch 2*pi. + t = principal_branch(x, 2*pi) + assert unpolarify(t) == x + assert unpolarify(sqrt(t)) == sqrt(t) + + # Test exponents_only. + assert unpolarify(p**p, exponents_only=True) == p**u + assert unpolarify(uppergamma(x, p**p)) == uppergamma(x, p**u) + + # Test functions. + assert unpolarify(sin(p)) == sin(u) + assert unpolarify(tanh(p)) == tanh(u) + assert unpolarify(gamma(p)) == gamma(u) + assert unpolarify(erf(p)) == erf(u) + assert unpolarify(uppergamma(x, p)) == uppergamma(x, p) + + assert unpolarify(uppergamma(sin(p), sin(p + exp_polar(0)))) == \ + uppergamma(sin(u), sin(u + 1)) + assert unpolarify(uppergamma(polar_lift(0), 2*exp_polar(0))) == \ + uppergamma(0, 2) + + assert unpolarify(Eq(p, 0)) == Eq(u, 0) + assert unpolarify(Ne(p, 0)) == Ne(u, 0) + assert unpolarify(polar_lift(x) > 0) == (x > 0) + + # Test bools + assert unpolarify(True) is True + + +def test_issue_4035(): + x = Symbol('x') + assert Abs(x).expand(trig=True) == Abs(x) + assert sign(x).expand(trig=True) == sign(x) + assert arg(x).expand(trig=True) == arg(x) + + +def test_issue_3206(): + x = Symbol('x') + assert Abs(Abs(x)) == Abs(x) + + +def test_issue_4754_derivative_conjugate(): + x = Symbol('x', real=True) + y = Symbol('y', imaginary=True) + f = Function('f') + assert (f(x).conjugate()).diff(x) == (f(x).diff(x)).conjugate() + assert (f(y).conjugate()).diff(y) == -(f(y).diff(y)).conjugate() + + +def test_derivatives_issue_4757(): + x = Symbol('x', real=True) + y = Symbol('y', imaginary=True) + f = Function('f') + assert re(f(x)).diff(x) == re(f(x).diff(x)) + assert im(f(x)).diff(x) == im(f(x).diff(x)) + assert re(f(y)).diff(y) == -I*im(f(y).diff(y)) + assert im(f(y)).diff(y) == -I*re(f(y).diff(y)) + assert Abs(f(x)).diff(x).subs(f(x), 1 + I*x).doit() == x/sqrt(1 + x**2) + assert arg(f(x)).diff(x).subs(f(x), 1 + I*x**2).doit() == 2*x/(1 + x**4) + assert Abs(f(y)).diff(y).subs(f(y), 1 + y).doit() == -y/sqrt(1 - y**2) + assert arg(f(y)).diff(y).subs(f(y), I + y**2).doit() == 2*y/(1 + y**4) + + +def test_issue_11413(): + from sympy.simplify.simplify import simplify + v0 = Symbol('v0') + v1 = Symbol('v1') + v2 = Symbol('v2') + V = Matrix([[v0],[v1],[v2]]) + U = V.normalized() + assert U == Matrix([ + [v0/sqrt(Abs(v0)**2 + Abs(v1)**2 + Abs(v2)**2)], + [v1/sqrt(Abs(v0)**2 + Abs(v1)**2 + Abs(v2)**2)], + [v2/sqrt(Abs(v0)**2 + Abs(v1)**2 + Abs(v2)**2)]]) + U.norm = sqrt(v0**2/(v0**2 + v1**2 + v2**2) + v1**2/(v0**2 + v1**2 + v2**2) + v2**2/(v0**2 + v1**2 + v2**2)) + assert simplify(U.norm) == 1 + + +def test_periodic_argument(): + from sympy.functions.elementary.complexes import (periodic_argument, polar_lift, principal_branch, unbranched_argument) + x = Symbol('x') + p = Symbol('p', positive=True) + + assert unbranched_argument(2 + I) == periodic_argument(2 + I, oo) + assert unbranched_argument(1 + x) == periodic_argument(1 + x, oo) + assert N_equals(unbranched_argument((1 + I)**2), pi/2) + assert N_equals(unbranched_argument((1 - I)**2), -pi/2) + assert N_equals(periodic_argument((1 + I)**2, 3*pi), pi/2) + assert N_equals(periodic_argument((1 - I)**2, 3*pi), -pi/2) + + assert unbranched_argument(principal_branch(x, pi)) == \ + periodic_argument(x, pi) + + assert unbranched_argument(polar_lift(2 + I)) == unbranched_argument(2 + I) + assert periodic_argument(polar_lift(2 + I), 2*pi) == \ + periodic_argument(2 + I, 2*pi) + assert periodic_argument(polar_lift(2 + I), 3*pi) == \ + periodic_argument(2 + I, 3*pi) + assert periodic_argument(polar_lift(2 + I), pi) == \ + periodic_argument(polar_lift(2 + I), pi) + + assert unbranched_argument(polar_lift(1 + I)) == pi/4 + assert periodic_argument(2*p, p) == periodic_argument(p, p) + assert periodic_argument(pi*p, p) == periodic_argument(p, p) + + assert Abs(polar_lift(1 + I)) == Abs(1 + I) + + +@XFAIL +def test_principal_branch_fail(): + # TODO XXX why does abs(x)._eval_evalf() not fall back to global evalf? + from sympy.functions.elementary.complexes import principal_branch + assert N_equals(principal_branch((1 + I)**2, pi/2), 0) + + +def test_principal_branch(): + from sympy.functions.elementary.complexes import (polar_lift, principal_branch) + p = Symbol('p', positive=True) + x = Symbol('x') + neg = Symbol('x', negative=True) + + assert principal_branch(polar_lift(x), p) == principal_branch(x, p) + assert principal_branch(polar_lift(2 + I), p) == principal_branch(2 + I, p) + assert principal_branch(2*x, p) == 2*principal_branch(x, p) + assert principal_branch(1, pi) == exp_polar(0) + assert principal_branch(-1, 2*pi) == exp_polar(I*pi) + assert principal_branch(-1, pi) == exp_polar(0) + assert principal_branch(exp_polar(3*pi*I)*x, 2*pi) == \ + principal_branch(exp_polar(I*pi)*x, 2*pi) + assert principal_branch(neg*exp_polar(pi*I), 2*pi) == neg*exp_polar(-I*pi) + # related to issue #14692 + assert principal_branch(exp_polar(-I*pi/2)/polar_lift(neg), 2*pi) == \ + exp_polar(-I*pi/2)/neg + + assert N_equals(principal_branch((1 + I)**2, 2*pi), 2*I) + assert N_equals(principal_branch((1 + I)**2, 3*pi), 2*I) + assert N_equals(principal_branch((1 + I)**2, 1*pi), 2*I) + + # test argument sanitization + assert principal_branch(x, I).func is principal_branch + assert principal_branch(x, -4).func is principal_branch + assert principal_branch(x, -oo).func is principal_branch + assert principal_branch(x, zoo).func is principal_branch + + +@XFAIL +def test_issue_6167_6151(): + n = pi**1000 + i = int(n) + assert sign(n - i) == 1 + assert abs(n - i) == n - i + x = Symbol('x') + eps = pi**-1500 + big = pi**1000 + one = cos(x)**2 + sin(x)**2 + e = big*one - big + eps + from sympy.simplify.simplify import simplify + assert sign(simplify(e)) == 1 + for xi in (111, 11, 1, Rational(1, 10)): + assert sign(e.subs(x, xi)) == 1 + + +def test_issue_14216(): + from sympy.functions.elementary.complexes import unpolarify + A = MatrixSymbol("A", 2, 2) + assert unpolarify(A[0, 0]) == A[0, 0] + assert unpolarify(A[0, 0]*A[1, 0]) == A[0, 0]*A[1, 0] + + +def test_issue_14238(): + # doesn't cause recursion error + r = Symbol('r', real=True) + assert Abs(r + Piecewise((0, r > 0), (1 - r, True))) + + +def test_issue_22189(): + x = Symbol('x') + for a in (sqrt(7 - 2*x) - 2, 1 - x): + assert Abs(a) - Abs(-a) == 0, a + + +def test_zero_assumptions(): + nr = Symbol('nonreal', real=False, finite=True) + ni = Symbol('nonimaginary', imaginary=False) + # imaginary implies not zero + nzni = Symbol('nonzerononimaginary', zero=False, imaginary=False) + + assert re(nr).is_zero is None + assert im(nr).is_zero is False + + assert re(ni).is_zero is None + assert im(ni).is_zero is None + + assert re(nzni).is_zero is False + assert im(nzni).is_zero is None + + +@_both_exp_pow +def test_issue_15893(): + f = Function('f', real=True) + x = Symbol('x', real=True) + eq = Derivative(Abs(f(x)), f(x)) + assert eq.doit() == sign(f(x)) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/tests/test_exponential.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/tests/test_exponential.py new file mode 100644 index 0000000000000000000000000000000000000000..ee8c311d01e98d7fd6831ad754e854fae409aa0c --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/tests/test_exponential.py @@ -0,0 +1,810 @@ +from sympy.assumptions.refine import refine +from sympy.calculus.accumulationbounds import AccumBounds +from sympy.concrete.products import Product +from sympy.concrete.summations import Sum +from sympy.core.function import expand_log +from sympy.core.numbers import (E, Float, I, Rational, nan, oo, pi, zoo) +from sympy.core.power import Pow +from sympy.core.singleton import S +from sympy.core.symbol import (Symbol, symbols) +from sympy.functions.elementary.complexes import (adjoint, conjugate, re, sign, transpose) +from sympy.functions.elementary.exponential import (LambertW, exp, exp_polar, log) +from sympy.functions.elementary.hyperbolic import (cosh, sinh, tanh) +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.trigonometric import (cos, sin, tan) +from sympy.matrices.expressions.matexpr import MatrixSymbol +from sympy.polys.polytools import gcd +from sympy.series.order import O +from sympy.simplify.simplify import simplify +from sympy.core.parameters import global_parameters +from sympy.functions.elementary.exponential import match_real_imag +from sympy.abc import x, y, z +from sympy.core.expr import unchanged +from sympy.core.function import ArgumentIndexError +from sympy.testing.pytest import raises, XFAIL, _both_exp_pow + + +@_both_exp_pow +def test_exp_values(): + if global_parameters.exp_is_pow: + assert type(exp(x)) is Pow + else: + assert type(exp(x)) is exp + + k = Symbol('k', integer=True) + + assert exp(nan) is nan + + assert exp(oo) is oo + assert exp(-oo) == 0 + + assert exp(0) == 1 + assert exp(1) == E + assert exp(-1 + x).as_base_exp() == (S.Exp1, x - 1) + assert exp(1 + x).as_base_exp() == (S.Exp1, x + 1) + + assert exp(pi*I/2) == I + assert exp(pi*I) == -1 + assert exp(pi*I*Rational(3, 2)) == -I + assert exp(2*pi*I) == 1 + + assert refine(exp(pi*I*2*k)) == 1 + assert refine(exp(pi*I*2*(k + S.Half))) == -1 + assert refine(exp(pi*I*2*(k + Rational(1, 4)))) == I + assert refine(exp(pi*I*2*(k + Rational(3, 4)))) == -I + + assert exp(log(x)) == x + assert exp(2*log(x)) == x**2 + assert exp(pi*log(x)) == x**pi + + assert exp(17*log(x) + E*log(y)) == x**17 * y**E + + assert exp(x*log(x)) != x**x + assert exp(sin(x)*log(x)) != x + + assert exp(3*log(x) + oo*x) == exp(oo*x) * x**3 + assert exp(4*log(x)*log(y) + 3*log(x)) == x**3 * exp(4*log(x)*log(y)) + + assert exp(-oo, evaluate=False).is_finite is True + assert exp(oo, evaluate=False).is_finite is False + + +@_both_exp_pow +def test_exp_period(): + assert exp(I*pi*Rational(9, 4)) == exp(I*pi/4) + assert exp(I*pi*Rational(46, 18)) == exp(I*pi*Rational(5, 9)) + assert exp(I*pi*Rational(25, 7)) == exp(I*pi*Rational(-3, 7)) + assert exp(I*pi*Rational(-19, 3)) == exp(-I*pi/3) + assert exp(I*pi*Rational(37, 8)) - exp(I*pi*Rational(-11, 8)) == 0 + assert exp(I*pi*Rational(-5, 3)) / exp(I*pi*Rational(11, 5)) * exp(I*pi*Rational(148, 15)) == 1 + + assert exp(2 - I*pi*Rational(17, 5)) == exp(2 + I*pi*Rational(3, 5)) + assert exp(log(3) + I*pi*Rational(29, 9)) == 3 * exp(I*pi*Rational(-7, 9)) + + n = Symbol('n', integer=True) + e = Symbol('e', even=True) + assert exp(e*I*pi) == 1 + assert exp((e + 1)*I*pi) == -1 + assert exp((1 + 4*n)*I*pi/2) == I + assert exp((-1 + 4*n)*I*pi/2) == -I + + +@_both_exp_pow +def test_exp_log(): + x = Symbol("x", real=True) + assert log(exp(x)) == x + assert exp(log(x)) == x + + if not global_parameters.exp_is_pow: + assert log(x).inverse() == exp + assert exp(x).inverse() == log + + y = Symbol("y", polar=True) + assert log(exp_polar(z)) == z + assert exp(log(y)) == y + + +@_both_exp_pow +def test_exp_expand(): + e = exp(log(Rational(2))*(1 + x) - log(Rational(2))*x) + assert e.expand() == 2 + assert exp(x + y) != exp(x)*exp(y) + assert exp(x + y).expand() == exp(x)*exp(y) + + +@_both_exp_pow +def test_exp__as_base_exp(): + assert exp(x).as_base_exp() == (E, x) + assert exp(2*x).as_base_exp() == (E, 2*x) + assert exp(x*y).as_base_exp() == (E, x*y) + assert exp(-x).as_base_exp() == (E, -x) + + # Pow( *expr.as_base_exp() ) == expr invariant should hold + assert E**x == exp(x) + assert E**(2*x) == exp(2*x) + assert E**(x*y) == exp(x*y) + + assert exp(x).base is S.Exp1 + assert exp(x).exp == x + + +@_both_exp_pow +def test_exp_infinity(): + assert exp(I*y) != nan + assert refine(exp(I*oo)) is nan + assert refine(exp(-I*oo)) is nan + assert exp(y*I*oo) != nan + assert exp(zoo) is nan + x = Symbol('x', extended_real=True, finite=False) + assert exp(x).is_complex is None + + +@_both_exp_pow +def test_exp_subs(): + x = Symbol('x') + e = (exp(3*log(x), evaluate=False)) # evaluates to x**3 + assert e.subs(x**3, y**3) == e + assert e.subs(x**2, 5) == e + assert (x**3).subs(x**2, y) != y**Rational(3, 2) + assert exp(exp(x) + exp(x**2)).subs(exp(exp(x)), y) == y * exp(exp(x**2)) + assert exp(x).subs(E, y) == y**x + x = symbols('x', real=True) + assert exp(5*x).subs(exp(7*x), y) == y**Rational(5, 7) + assert exp(2*x + 7).subs(exp(3*x), y) == y**Rational(2, 3) * exp(7) + x = symbols('x', positive=True) + assert exp(3*log(x)).subs(x**2, y) == y**Rational(3, 2) + # differentiate between E and exp + assert exp(exp(x + E)).subs(exp, 3) == 3**(3**(x + E)) + assert exp(exp(x + E)).subs(exp, sin) == sin(sin(x + E)) + assert exp(exp(x + E)).subs(E, 3) == 3**(3**(x + 3)) + assert exp(3).subs(E, sin) == sin(3) + + +def test_exp_adjoint(): + x = Symbol('x', commutative=False) + assert adjoint(exp(x)) == exp(adjoint(x)) + + +def test_exp_conjugate(): + assert conjugate(exp(x)) == exp(conjugate(x)) + + +@_both_exp_pow +def test_exp_transpose(): + assert transpose(exp(x)) == exp(transpose(x)) + + +@_both_exp_pow +def test_exp_rewrite(): + assert exp(x).rewrite(sin) == sinh(x) + cosh(x) + assert exp(x*I).rewrite(cos) == cos(x) + I*sin(x) + assert exp(1).rewrite(cos) == sinh(1) + cosh(1) + assert exp(1).rewrite(sin) == sinh(1) + cosh(1) + assert exp(1).rewrite(sin) == sinh(1) + cosh(1) + assert exp(x).rewrite(tanh) == (1 + tanh(x/2))/(1 - tanh(x/2)) + assert exp(pi*I/4).rewrite(sqrt) == sqrt(2)/2 + sqrt(2)*I/2 + assert exp(pi*I/3).rewrite(sqrt) == S.Half + sqrt(3)*I/2 + if not global_parameters.exp_is_pow: + assert exp(x*log(y)).rewrite(Pow) == y**x + assert exp(log(x)*log(y)).rewrite(Pow) in [x**log(y), y**log(x)] + assert exp(log(log(x))*y).rewrite(Pow) == log(x)**y + + n = Symbol('n', integer=True) + + assert Sum((exp(pi*I/2)/2)**n, (n, 0, oo)).rewrite(sqrt).doit() == Rational(4, 5) + I*2/5 + assert Sum((exp(pi*I/4)/2)**n, (n, 0, oo)).rewrite(sqrt).doit() == 1/(1 - sqrt(2)*(1 + I)/4) + assert (Sum((exp(pi*I/3)/2)**n, (n, 0, oo)).rewrite(sqrt).doit().cancel() + == 4*I/(sqrt(3) + 3*I)) + + +@_both_exp_pow +def test_exp_leading_term(): + assert exp(x).as_leading_term(x) == 1 + assert exp(2 + x).as_leading_term(x) == exp(2) + assert exp((2*x + 3) / (x+1)).as_leading_term(x) == exp(3) + + # The following tests are commented, since now SymPy returns the + # original function when the leading term in the series expansion does + # not exist. + # raises(NotImplementedError, lambda: exp(1/x).as_leading_term(x)) + # raises(NotImplementedError, lambda: exp((x + 1) / x**2).as_leading_term(x)) + # raises(NotImplementedError, lambda: exp(x + 1/x).as_leading_term(x)) + + +@_both_exp_pow +def test_exp_taylor_term(): + x = symbols('x') + assert exp(x).taylor_term(1, x) == x + assert exp(x).taylor_term(3, x) == x**3/6 + assert exp(x).taylor_term(4, x) == x**4/24 + assert exp(x).taylor_term(-1, x) is S.Zero + + +def test_exp_MatrixSymbol(): + A = MatrixSymbol("A", 2, 2) + assert exp(A).has(exp) + + +def test_exp_fdiff(): + x = Symbol('x') + raises(ArgumentIndexError, lambda: exp(x).fdiff(2)) + + +def test_log_values(): + assert log(nan) is nan + + assert log(oo) is oo + assert log(-oo) is oo + + assert log(zoo) is zoo + assert log(-zoo) is zoo + + assert log(0) is zoo + + assert log(1) == 0 + assert log(-1) == I*pi + + assert log(E) == 1 + assert log(-E).expand() == 1 + I*pi + + assert unchanged(log, pi) + assert log(-pi).expand() == log(pi) + I*pi + + assert unchanged(log, 17) + assert log(-17) == log(17) + I*pi + + assert log(I) == I*pi/2 + assert log(-I) == -I*pi/2 + + assert log(17*I) == I*pi/2 + log(17) + assert log(-17*I).expand() == -I*pi/2 + log(17) + + assert log(oo*I) is oo + assert log(-oo*I) is oo + assert log(0, 2) is zoo + assert log(0, 5) is zoo + + assert exp(-log(3))**(-1) == 3 + + assert log(S.Half) == -log(2) + assert log(2*3).func is log + assert log(2*3**2).func is log + + +def test_match_real_imag(): + x, y = symbols('x,y', real=True) + i = Symbol('i', imaginary=True) + assert match_real_imag(S.One) == (1, 0) + assert match_real_imag(I) == (0, 1) + assert match_real_imag(3 - 5*I) == (3, -5) + assert match_real_imag(-sqrt(3) + S.Half*I) == (-sqrt(3), S.Half) + assert match_real_imag(x + y*I) == (x, y) + assert match_real_imag(x*I + y*I) == (0, x + y) + assert match_real_imag((x + y)*I) == (0, x + y) + assert match_real_imag(Rational(-2, 3)*i*I) == (None, None) + assert match_real_imag(1 - 2*i) == (None, None) + assert match_real_imag(sqrt(2)*(3 - 5*I)) == (None, None) + + +def test_log_exact(): + # check for pi/2, pi/3, pi/4, pi/6, pi/8, pi/12; pi/5, pi/10: + for n in range(-23, 24): + if gcd(n, 24) != 1: + assert log(exp(n*I*pi/24).rewrite(sqrt)) == n*I*pi/24 + for n in range(-9, 10): + assert log(exp(n*I*pi/10).rewrite(sqrt)) == n*I*pi/10 + + assert log(S.Half - I*sqrt(3)/2) == -I*pi/3 + assert log(Rational(-1, 2) + I*sqrt(3)/2) == I*pi*Rational(2, 3) + assert log(-sqrt(2)/2 - I*sqrt(2)/2) == -I*pi*Rational(3, 4) + assert log(-sqrt(3)/2 - I*S.Half) == -I*pi*Rational(5, 6) + + assert log(Rational(-1, 4) + sqrt(5)/4 - I*sqrt(sqrt(5)/8 + Rational(5, 8))) == -I*pi*Rational(2, 5) + assert log(sqrt(Rational(5, 8) - sqrt(5)/8) + I*(Rational(1, 4) + sqrt(5)/4)) == I*pi*Rational(3, 10) + assert log(-sqrt(sqrt(2)/4 + S.Half) + I*sqrt(S.Half - sqrt(2)/4)) == I*pi*Rational(7, 8) + assert log(-sqrt(6)/4 - sqrt(2)/4 + I*(-sqrt(6)/4 + sqrt(2)/4)) == -I*pi*Rational(11, 12) + + assert log(-1 + I*sqrt(3)) == log(2) + I*pi*Rational(2, 3) + assert log(5 + 5*I) == log(5*sqrt(2)) + I*pi/4 + assert log(sqrt(-12)) == log(2*sqrt(3)) + I*pi/2 + assert log(-sqrt(6) + sqrt(2) - I*sqrt(6) - I*sqrt(2)) == log(4) - I*pi*Rational(7, 12) + assert log(-sqrt(6-3*sqrt(2)) - I*sqrt(6+3*sqrt(2))) == log(2*sqrt(3)) - I*pi*Rational(5, 8) + assert log(1 + I*sqrt(2-sqrt(2))/sqrt(2+sqrt(2))) == log(2/sqrt(sqrt(2) + 2)) + I*pi/8 + assert log(cos(pi*Rational(7, 12)) + I*sin(pi*Rational(7, 12))) == I*pi*Rational(7, 12) + assert log(cos(pi*Rational(6, 5)) + I*sin(pi*Rational(6, 5))) == I*pi*Rational(-4, 5) + + assert log(5*(1 + I)/sqrt(2)) == log(5) + I*pi/4 + assert log(sqrt(2)*(-sqrt(3) + 1 - sqrt(3)*I - I)) == log(4) - I*pi*Rational(7, 12) + assert log(-sqrt(2)*(1 - I*sqrt(3))) == log(2*sqrt(2)) + I*pi*Rational(2, 3) + assert log(sqrt(3)*I*(-sqrt(6 - 3*sqrt(2)) - I*sqrt(3*sqrt(2) + 6))) == log(6) - I*pi/8 + + zero = (1 + sqrt(2))**2 - 3 - 2*sqrt(2) + assert log(zero - I*sqrt(3)) == log(sqrt(3)) - I*pi/2 + assert unchanged(log, zero + I*zero) or log(zero + zero*I) is zoo + + # bail quickly if no obvious simplification is possible: + assert unchanged(log, (sqrt(2)-1/sqrt(sqrt(3)+I))**1000) + # beware of non-real coefficients + assert unchanged(log, sqrt(2-sqrt(5))*(1 + I)) + + +def test_log_base(): + assert log(1, 2) == 0 + assert log(2, 2) == 1 + assert log(3, 2) == log(3)/log(2) + assert log(6, 2) == 1 + log(3)/log(2) + assert log(6, 3) == 1 + log(2)/log(3) + assert log(2**3, 2) == 3 + assert log(3**3, 3) == 3 + assert log(5, 1) is zoo + assert log(1, 1) is nan + assert log(Rational(2, 3), 10) == log(Rational(2, 3))/log(10) + assert log(Rational(2, 3), Rational(1, 3)) == -log(2)/log(3) + 1 + assert log(Rational(2, 3), Rational(2, 5)) == \ + log(Rational(2, 3))/log(Rational(2, 5)) + # issue 17148 + assert log(Rational(8, 3), 2) == -log(3)/log(2) + 3 + + +def test_log_symbolic(): + assert log(x, exp(1)) == log(x) + assert log(exp(x)) != x + + assert log(x, exp(1)) == log(x) + assert log(x*y) != log(x) + log(y) + assert log(x/y).expand() != log(x) - log(y) + assert log(x/y).expand(force=True) == log(x) - log(y) + assert log(x**y).expand() != y*log(x) + assert log(x**y).expand(force=True) == y*log(x) + + assert log(x, 2) == log(x)/log(2) + assert log(E, 2) == 1/log(2) + + p, q = symbols('p,q', positive=True) + r = Symbol('r', real=True) + + assert log(p**2) != 2*log(p) + assert log(p**2).expand() == 2*log(p) + assert log(x**2).expand() != 2*log(x) + assert log(p**q) != q*log(p) + assert log(exp(p)) == p + assert log(p*q) != log(p) + log(q) + assert log(p*q).expand() == log(p) + log(q) + + assert log(-sqrt(3)) == log(sqrt(3)) + I*pi + assert log(-exp(p)) != p + I*pi + assert log(-exp(x)).expand() != x + I*pi + assert log(-exp(r)).expand() == r + I*pi + + assert log(x**y) != y*log(x) + + assert (log(x**-5)**-1).expand() != -1/log(x)/5 + assert (log(p**-5)**-1).expand() == -1/log(p)/5 + assert log(-x).func is log and log(-x).args[0] == -x + assert log(-p).func is log and log(-p).args[0] == -p + + +def test_log_exp(): + assert log(exp(4*I*pi)) == 0 # exp evaluates + assert log(exp(-5*I*pi)) == I*pi # exp evaluates + assert log(exp(I*pi*Rational(19, 4))) == I*pi*Rational(3, 4) + assert log(exp(I*pi*Rational(25, 7))) == I*pi*Rational(-3, 7) + assert log(exp(-5*I)) == -5*I + 2*I*pi + + +@_both_exp_pow +def test_exp_assumptions(): + r = Symbol('r', real=True) + i = Symbol('i', imaginary=True) + for e in exp, exp_polar: + assert e(x).is_real is None + assert e(x).is_imaginary is None + assert e(i).is_real is None + assert e(i).is_imaginary is None + assert e(r).is_real is True + assert e(r).is_imaginary is False + assert e(re(x)).is_extended_real is True + assert e(re(x)).is_imaginary is False + + assert Pow(E, I*pi, evaluate=False).is_imaginary == False + assert Pow(E, 2*I*pi, evaluate=False).is_imaginary == False + assert Pow(E, I*pi/2, evaluate=False).is_imaginary == True + assert Pow(E, I*pi/3, evaluate=False).is_imaginary is None + + assert exp(0, evaluate=False).is_algebraic + + a = Symbol('a', algebraic=True) + an = Symbol('an', algebraic=True, nonzero=True) + r = Symbol('r', rational=True) + rn = Symbol('rn', rational=True, nonzero=True) + assert exp(a).is_algebraic is None + assert exp(an).is_algebraic is False + assert exp(pi*r).is_algebraic is None + assert exp(pi*rn).is_algebraic is False + + assert exp(0, evaluate=False).is_algebraic is True + assert exp(I*pi/3, evaluate=False).is_algebraic is True + assert exp(I*pi*r, evaluate=False).is_algebraic is True + + +@_both_exp_pow +def test_exp_AccumBounds(): + assert exp(AccumBounds(1, 2)) == AccumBounds(E, E**2) + + +def test_log_assumptions(): + p = symbols('p', positive=True) + n = symbols('n', negative=True) + z = symbols('z', zero=True) + x = symbols('x', infinite=True, extended_positive=True) + + assert log(z).is_positive is False + assert log(x).is_extended_positive is True + assert log(2) > 0 + assert log(1, evaluate=False).is_zero + assert log(1 + z).is_zero + assert log(p).is_zero is None + assert log(n).is_zero is False + assert log(0.5).is_negative is True + assert log(exp(p) + 1).is_positive + + assert log(1, evaluate=False).is_algebraic + assert log(42, evaluate=False).is_algebraic is False + + assert log(1 + z).is_rational + + +def test_log_hashing(): + assert x != log(log(x)) + assert hash(x) != hash(log(log(x))) + assert log(x) != log(log(log(x))) + + e = 1/log(log(x) + log(log(x))) + assert e.base.func is log + e = 1/log(log(x) + log(log(log(x)))) + assert e.base.func is log + + e = log(log(x)) + assert e.func is log + assert x.func is not log + assert hash(log(log(x))) != hash(x) + assert e != x + + +def test_log_sign(): + assert sign(log(2)) == 1 + + +def test_log_expand_complex(): + assert log(1 + I).expand(complex=True) == log(2)/2 + I*pi/4 + assert log(1 - sqrt(2)).expand(complex=True) == log(sqrt(2) - 1) + I*pi + + +def test_log_apply_evalf(): + value = (log(3)/log(2) - 1).evalf() + assert value.epsilon_eq(Float("0.58496250072115618145373")) + + +def test_log_leading_term(): + p = Symbol('p') + + # Test for STEP 3 + assert log(1 + x + x**2).as_leading_term(x, cdir=1) == x + # Test for STEP 4 + assert log(2*x).as_leading_term(x, cdir=1) == log(x) + log(2) + assert log(2*x).as_leading_term(x, cdir=-1) == log(x) + log(2) + assert log(-2*x).as_leading_term(x, cdir=1, logx=p) == p + log(2) + I*pi + assert log(-2*x).as_leading_term(x, cdir=-1, logx=p) == p + log(2) - I*pi + # Test for STEP 5 + assert log(-2*x + (3 - I)*x**2).as_leading_term(x, cdir=1) == log(x) + log(2) - I*pi + assert log(-2*x + (3 - I)*x**2).as_leading_term(x, cdir=-1) == log(x) + log(2) - I*pi + assert log(2*x + (3 - I)*x**2).as_leading_term(x, cdir=1) == log(x) + log(2) + assert log(2*x + (3 - I)*x**2).as_leading_term(x, cdir=-1) == log(x) + log(2) - 2*I*pi + assert log(-1 + x - I*x**2 + I*x**3).as_leading_term(x, cdir=1) == -I*pi + assert log(-1 + x - I*x**2 + I*x**3).as_leading_term(x, cdir=-1) == -I*pi + assert log(-1/(1 - x)).as_leading_term(x, cdir=1) == I*pi + assert log(-1/(1 - x)).as_leading_term(x, cdir=-1) == I*pi + + +def test_log_nseries(): + p = Symbol('p') + assert log(1/x)._eval_nseries(x, 4, logx=-p, cdir=1) == p + assert log(1/x)._eval_nseries(x, 4, logx=-p, cdir=-1) == p + 2*I*pi + assert log(x - 1)._eval_nseries(x, 4, None, I) == I*pi - x - x**2/2 - x**3/3 + O(x**4) + assert log(x - 1)._eval_nseries(x, 4, None, -I) == -I*pi - x - x**2/2 - x**3/3 + O(x**4) + assert log(I*x + I*x**3 - 1)._eval_nseries(x, 3, None, 1) == I*pi - I*x + x**2/2 + O(x**3) + assert log(I*x + I*x**3 - 1)._eval_nseries(x, 3, None, -1) == -I*pi - I*x + x**2/2 + O(x**3) + assert log(I*x**2 + I*x**3 - 1)._eval_nseries(x, 3, None, 1) == I*pi - I*x**2 + O(x**3) + assert log(I*x**2 + I*x**3 - 1)._eval_nseries(x, 3, None, -1) == I*pi - I*x**2 + O(x**3) + assert log(2*x + (3 - I)*x**2)._eval_nseries(x, 3, None, 1) == log(2) + log(x) + \ + x*(S(3)/2 - I/2) + x**2*(-1 + 3*I/4) + O(x**3) + assert log(2*x + (3 - I)*x**2)._eval_nseries(x, 3, None, -1) == -2*I*pi + log(2) + \ + log(x) - x*(-S(3)/2 + I/2) + x**2*(-1 + 3*I/4) + O(x**3) + assert log(-2*x + (3 - I)*x**2)._eval_nseries(x, 3, None, 1) == -I*pi + log(2) + log(x) + \ + x*(-S(3)/2 + I/2) + x**2*(-1 + 3*I/4) + O(x**3) + assert log(-2*x + (3 - I)*x**2)._eval_nseries(x, 3, None, -1) == -I*pi + log(2) + log(x) - \ + x*(S(3)/2 - I/2) + x**2*(-1 + 3*I/4) + O(x**3) + assert log(sqrt(-I*x**2 - 3)*sqrt(-I*x**2 - 1) - 2)._eval_nseries(x, 3, None, 1) == -I*pi + \ + log(sqrt(3) + 2) + 2*sqrt(3)*I*x**2/(3*sqrt(3) + 6) + O(x**3) + assert log(-1/(1 - x))._eval_nseries(x, 3, None, 1) == I*pi + x + x**2/2 + O(x**3) + assert log(-1/(1 - x))._eval_nseries(x, 3, None, -1) == I*pi + x + x**2/2 + O(x**3) + + +def test_log_series(): + # Note Series at infinities other than oo/-oo were introduced as a part of + # pull request 23798. Refer https://github.com/sympy/sympy/pull/23798 for + # more information. + expr1 = log(1 + x) + expr2 = log(x + sqrt(x**2 + 1)) + + assert expr1.series(x, x0=I*oo, n=4) == 1/(3*x**3) - 1/(2*x**2) + 1/x + \ + I*pi/2 - log(I/x) + O(x**(-4), (x, oo*I)) + assert expr1.series(x, x0=-I*oo, n=4) == 1/(3*x**3) - 1/(2*x**2) + 1/x - \ + I*pi/2 - log(-I/x) + O(x**(-4), (x, -oo*I)) + assert expr2.series(x, x0=I*oo, n=4) == 1/(4*x**2) + I*pi/2 + log(2) - \ + log(I/x) + O(x**(-4), (x, oo*I)) + assert expr2.series(x, x0=-I*oo, n=4) == -1/(4*x**2) - I*pi/2 - log(2) + \ + log(-I/x) + O(x**(-4), (x, -oo*I)) + + +def test_log_expand(): + w = Symbol("w", positive=True) + e = log(w**(log(5)/log(3))) + assert e.expand() == log(5)/log(3) * log(w) + x, y, z = symbols('x,y,z', positive=True) + assert log(x*(y + z)).expand(mul=False) == log(x) + log(y + z) + assert log(log(x**2)*log(y*z)).expand() in [log(2*log(x)*log(y) + + 2*log(x)*log(z)), log(log(x)*log(z) + log(y)*log(x)) + log(2), + log((log(y) + log(z))*log(x)) + log(2)] + assert log(x**log(x**2)).expand(deep=False) == log(x)*log(x**2) + assert log(x**log(x**2)).expand() == 2*log(x)**2 + x, y = symbols('x,y') + assert log(x*y).expand(force=True) == log(x) + log(y) + assert log(x**y).expand(force=True) == y*log(x) + assert log(exp(x)).expand(force=True) == x + + # there's generally no need to expand out logs since this requires + # factoring and if simplification is sought, it's cheaper to put + # logs together than it is to take them apart. + assert log(2*3**2).expand() != 2*log(3) + log(2) + + +@XFAIL +def test_log_expand_fail(): + x, y, z = symbols('x,y,z', positive=True) + assert (log(x*(y + z))*(x + y)).expand(mul=True, log=True) == y*log( + x) + y*log(y + z) + z*log(x) + z*log(y + z) + + +def test_log_simplify(): + x = Symbol("x", positive=True) + assert log(x**2).expand() == 2*log(x) + assert expand_log(log(x**(2 + log(2)))) == (2 + log(2))*log(x) + + z = Symbol('z') + assert log(sqrt(z)).expand() == log(z)/2 + assert expand_log(log(z**(log(2) - 1))) == (log(2) - 1)*log(z) + assert log(z**(-1)).expand() != -log(z) + assert log(z**(x/(x+1))).expand() == x*log(z)/(x + 1) + + +def test_log_AccumBounds(): + assert log(AccumBounds(1, E)) == AccumBounds(0, 1) + assert log(AccumBounds(0, E)) == AccumBounds(-oo, 1) + assert log(AccumBounds(-1, E)) == S.NaN + assert log(AccumBounds(0, oo)) == AccumBounds(-oo, oo) + assert log(AccumBounds(-oo, 0)) == S.NaN + assert log(AccumBounds(-oo, oo)) == S.NaN + + +@_both_exp_pow +def test_lambertw(): + k = Symbol('k') + + assert LambertW(x, 0) == LambertW(x) + assert LambertW(x, 0, evaluate=False) != LambertW(x) + assert LambertW(0) == 0 + assert LambertW(E) == 1 + assert LambertW(-1/E) == -1 + assert LambertW(-log(2)/2) == -log(2) + assert LambertW(oo) is oo + assert LambertW(0, 1) is -oo + assert LambertW(0, 42) is -oo + assert LambertW(-pi/2, -1) == -I*pi/2 + assert LambertW(-1/E, -1) == -1 + assert LambertW(-2*exp(-2), -1) == -2 + assert LambertW(2*log(2)) == log(2) + assert LambertW(-pi/2) == I*pi/2 + assert LambertW(exp(1 + E)) == E + + assert LambertW(x**2).diff(x) == 2*LambertW(x**2)/x/(1 + LambertW(x**2)) + assert LambertW(x, k).diff(x) == LambertW(x, k)/x/(1 + LambertW(x, k)) + + assert LambertW(sqrt(2)).evalf(30).epsilon_eq( + Float("0.701338383413663009202120278965", 30), 1e-29) + assert re(LambertW(2, -1)).evalf().epsilon_eq(Float("-0.834310366631110")) + + assert LambertW(-1).is_real is False # issue 5215 + assert LambertW(2, evaluate=False).is_real + p = Symbol('p', positive=True) + assert LambertW(p, evaluate=False).is_real + assert LambertW(p - 1, evaluate=False).is_real is None + assert LambertW(-p - 2/S.Exp1, evaluate=False).is_real is False + assert LambertW(S.Half, -1, evaluate=False).is_real is False + assert LambertW(Rational(-1, 10), -1, evaluate=False).is_real + assert LambertW(-10, -1, evaluate=False).is_real is False + assert LambertW(-2, 2, evaluate=False).is_real is False + + assert LambertW(0, evaluate=False).is_algebraic + na = Symbol('na', nonzero=True, algebraic=True) + assert LambertW(na).is_algebraic is False + assert LambertW(p).is_zero is False + n = Symbol('n', negative=True) + assert LambertW(n).is_zero is False + + +def test_issue_5673(): + e = LambertW(-1) + assert e.is_comparable is False + assert e.is_positive is not True + e2 = 1 - 1/(1 - exp(-1000)) + assert e2.is_positive is not True + e3 = -2 + exp(exp(LambertW(log(2)))*LambertW(log(2))) + assert e3.is_nonzero is not True + + +def test_log_fdiff(): + x = Symbol('x') + raises(ArgumentIndexError, lambda: log(x).fdiff(2)) + + +def test_log_taylor_term(): + x = symbols('x') + assert log(x).taylor_term(0, x) == x + assert log(x).taylor_term(1, x) == -x**2/2 + assert log(x).taylor_term(4, x) == x**5/5 + assert log(x).taylor_term(-1, x) is S.Zero + + +def test_exp_expand_NC(): + A, B, C = symbols('A,B,C', commutative=False) + + assert exp(A + B).expand() == exp(A + B) + assert exp(A + B + C).expand() == exp(A + B + C) + assert exp(x + y).expand() == exp(x)*exp(y) + assert exp(x + y + z).expand() == exp(x)*exp(y)*exp(z) + + +@_both_exp_pow +def test_as_numer_denom(): + n = symbols('n', negative=True) + assert exp(x).as_numer_denom() == (exp(x), 1) + assert exp(-x).as_numer_denom() == (1, exp(x)) + assert exp(-2*x).as_numer_denom() == (1, exp(2*x)) + assert exp(-2).as_numer_denom() == (1, exp(2)) + assert exp(n).as_numer_denom() == (1, exp(-n)) + assert exp(-n).as_numer_denom() == (exp(-n), 1) + assert exp(-I*x).as_numer_denom() == (1, exp(I*x)) + assert exp(-I*n).as_numer_denom() == (1, exp(I*n)) + assert exp(-n).as_numer_denom() == (exp(-n), 1) + # Check noncommutativity + a = symbols('a', commutative=False) + assert exp(-a).as_numer_denom() == (exp(-a), 1) + + +@_both_exp_pow +def test_polar(): + x, y = symbols('x y', polar=True) + + assert abs(exp_polar(I*4)) == 1 + assert abs(exp_polar(0)) == 1 + assert abs(exp_polar(2 + 3*I)) == exp(2) + assert exp_polar(I*10).n() == exp_polar(I*10) + + assert log(exp_polar(z)) == z + assert log(x*y).expand() == log(x) + log(y) + assert log(x**z).expand() == z*log(x) + + assert exp_polar(3).exp == 3 + + # Compare exp(1.0*pi*I). + assert (exp_polar(1.0*pi*I).n(n=5)).as_real_imag()[1] >= 0 + + assert exp_polar(0).is_rational is True # issue 8008 + + +def test_exp_summation(): + w = symbols("w") + m, n, i, j = symbols("m n i j") + expr = exp(Sum(w*i, (i, 0, n), (j, 0, m))) + assert expr.expand() == Product(exp(w*i), (i, 0, n), (j, 0, m)) + + +def test_log_product(): + from sympy.abc import n, m + + i, j = symbols('i,j', positive=True, integer=True) + x, y = symbols('x,y', positive=True) + z = symbols('z', real=True) + w = symbols('w') + + expr = log(Product(x**i, (i, 1, n))) + assert simplify(expr) == expr + assert expr.expand() == Sum(i*log(x), (i, 1, n)) + expr = log(Product(x**i*y**j, (i, 1, n), (j, 1, m))) + assert simplify(expr) == expr + assert expr.expand() == Sum(i*log(x) + j*log(y), (i, 1, n), (j, 1, m)) + + expr = log(Product(-2, (n, 0, 4))) + assert simplify(expr) == expr + assert expr.expand() == expr + assert expr.expand(force=True) == Sum(log(-2), (n, 0, 4)) + + expr = log(Product(exp(z*i), (i, 0, n))) + assert expr.expand() == Sum(z*i, (i, 0, n)) + + expr = log(Product(exp(w*i), (i, 0, n))) + assert expr.expand() == expr + assert expr.expand(force=True) == Sum(w*i, (i, 0, n)) + + expr = log(Product(i**2*abs(j), (i, 1, n), (j, 1, m))) + assert expr.expand() == Sum(2*log(i) + log(j), (i, 1, n), (j, 1, m)) + + +@XFAIL +def test_log_product_simplify_to_sum(): + from sympy.abc import n, m + i, j = symbols('i,j', positive=True, integer=True) + x, y = symbols('x,y', positive=True) + assert simplify(log(Product(x**i, (i, 1, n)))) == Sum(i*log(x), (i, 1, n)) + assert simplify(log(Product(x**i*y**j, (i, 1, n), (j, 1, m)))) == \ + Sum(i*log(x) + j*log(y), (i, 1, n), (j, 1, m)) + + +def test_issue_8866(): + assert simplify(log(x, 10, evaluate=False)) == simplify(log(x, 10)) + assert expand_log(log(x, 10, evaluate=False)) == expand_log(log(x, 10)) + + y = Symbol('y', positive=True) + l1 = log(exp(y), exp(10)) + b1 = log(exp(y), exp(5)) + l2 = log(exp(y), exp(10), evaluate=False) + b2 = log(exp(y), exp(5), evaluate=False) + assert simplify(log(l1, b1)) == simplify(log(l2, b2)) + assert expand_log(log(l1, b1)) == expand_log(log(l2, b2)) + + +def test_log_expand_factor(): + assert (log(18)/log(3) - 2).expand(factor=True) == log(2)/log(3) + assert (log(12)/log(2)).expand(factor=True) == log(3)/log(2) + 2 + assert (log(15)/log(3)).expand(factor=True) == 1 + log(5)/log(3) + assert (log(2)/(-log(12) + log(24))).expand(factor=True) == 1 + + assert expand_log(log(12), factor=True) == log(3) + 2*log(2) + assert expand_log(log(21)/log(7), factor=False) == log(3)/log(7) + 1 + assert expand_log(log(45)/log(5) + log(20), factor=False) == \ + 1 + 2*log(3)/log(5) + log(20) + assert expand_log(log(45)/log(5) + log(26), factor=True) == \ + log(2) + log(13) + (log(5) + 2*log(3))/log(5) + + +def test_issue_9116(): + n = Symbol('n', positive=True, integer=True) + assert log(n).is_nonnegative is True + + +def test_issue_18473(): + assert exp(x*log(cos(1/x))).as_leading_term(x) == S.NaN + assert exp(x*log(tan(1/x))).as_leading_term(x) == S.NaN + assert log(cos(1/x)).as_leading_term(x) == S.NaN + assert log(tan(1/x)).as_leading_term(x) == S.NaN + assert log(cos(1/x) + 2).as_leading_term(x) == AccumBounds(0, log(3)) + assert exp(x*log(cos(1/x) + 2)).as_leading_term(x) == 1 + assert log(cos(1/x) - 2).as_leading_term(x) == S.NaN + assert exp(x*log(cos(1/x) - 2)).as_leading_term(x) == S.NaN + assert log(cos(1/x) + 1).as_leading_term(x) == AccumBounds(-oo, log(2)) + assert exp(x*log(cos(1/x) + 1)).as_leading_term(x) == AccumBounds(0, 1) + assert log(sin(1/x)**2).as_leading_term(x) == AccumBounds(-oo, 0) + assert exp(x*log(sin(1/x)**2)).as_leading_term(x) == AccumBounds(0, 1) + assert log(tan(1/x)**2).as_leading_term(x) == AccumBounds(-oo, oo) + assert exp(2*x*(log(tan(1/x)**2))).as_leading_term(x) == AccumBounds(0, oo) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/tests/test_hyperbolic.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/tests/test_hyperbolic.py new file mode 100644 index 0000000000000000000000000000000000000000..1ad9f1d51598b9d605b0472e254c5a710d4ed4f5 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/tests/test_hyperbolic.py @@ -0,0 +1,1553 @@ +from sympy.calculus.accumulationbounds import AccumBounds +from sympy.core.function import (expand_mul, expand_trig) +from sympy.core.numbers import (E, I, Integer, Rational, nan, oo, pi, zoo) +from sympy.core.singleton import S +from sympy.core.symbol import (Symbol, symbols) +from sympy.functions.elementary.complexes import (im, re) +from sympy.functions.elementary.exponential import (exp, log) +from sympy.functions.elementary.hyperbolic import (acosh, acoth, acsch, asech, asinh, atanh, cosh, coth, csch, sech, sinh, tanh) +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.trigonometric import (acos, asin, cos, cot, sec, sin, tan) +from sympy.series.order import O + +from sympy.core.expr import unchanged +from sympy.core.function import ArgumentIndexError, PoleError +from sympy.testing.pytest import raises + + +def test_sinh(): + x, y = symbols('x,y') + + k = Symbol('k', integer=True) + + assert sinh(nan) is nan + assert sinh(zoo) is nan + + assert sinh(oo) is oo + assert sinh(-oo) is -oo + + assert sinh(0) == 0 + + assert unchanged(sinh, 1) + assert sinh(-1) == -sinh(1) + + assert unchanged(sinh, x) + assert sinh(-x) == -sinh(x) + + assert unchanged(sinh, pi) + assert sinh(-pi) == -sinh(pi) + + assert unchanged(sinh, 2**1024 * E) + assert sinh(-2**1024 * E) == -sinh(2**1024 * E) + + assert sinh(pi*I) == 0 + assert sinh(-pi*I) == 0 + assert sinh(2*pi*I) == 0 + assert sinh(-2*pi*I) == 0 + assert sinh(-3*10**73*pi*I) == 0 + assert sinh(7*10**103*pi*I) == 0 + + assert sinh(pi*I/2) == I + assert sinh(-pi*I/2) == -I + assert sinh(pi*I*Rational(5, 2)) == I + assert sinh(pi*I*Rational(7, 2)) == -I + + assert sinh(pi*I/3) == S.Half*sqrt(3)*I + assert sinh(pi*I*Rational(-2, 3)) == Rational(-1, 2)*sqrt(3)*I + + assert sinh(pi*I/4) == S.Half*sqrt(2)*I + assert sinh(-pi*I/4) == Rational(-1, 2)*sqrt(2)*I + assert sinh(pi*I*Rational(17, 4)) == S.Half*sqrt(2)*I + assert sinh(pi*I*Rational(-3, 4)) == Rational(-1, 2)*sqrt(2)*I + + assert sinh(pi*I/6) == S.Half*I + assert sinh(-pi*I/6) == Rational(-1, 2)*I + assert sinh(pi*I*Rational(7, 6)) == Rational(-1, 2)*I + assert sinh(pi*I*Rational(-5, 6)) == Rational(-1, 2)*I + + assert sinh(pi*I/105) == sin(pi/105)*I + assert sinh(-pi*I/105) == -sin(pi/105)*I + + assert unchanged(sinh, 2 + 3*I) + + assert sinh(x*I) == sin(x)*I + + assert sinh(k*pi*I) == 0 + assert sinh(17*k*pi*I) == 0 + + assert sinh(k*pi*I/2) == sin(k*pi/2)*I + + assert sinh(x).as_real_imag(deep=False) == (cos(im(x))*sinh(re(x)), + sin(im(x))*cosh(re(x))) + x = Symbol('x', extended_real=True) + assert sinh(x).as_real_imag(deep=False) == (sinh(x), 0) + + x = Symbol('x', real=True) + assert sinh(I*x).is_finite is True + assert sinh(x).is_real is True + assert sinh(I).is_real is False + p = Symbol('p', positive=True) + assert sinh(p).is_zero is False + assert sinh(0, evaluate=False).is_zero is True + assert sinh(2*pi*I, evaluate=False).is_zero is True + + +def test_sinh_series(): + x = Symbol('x') + assert sinh(x).series(x, 0, 10) == \ + x + x**3/6 + x**5/120 + x**7/5040 + x**9/362880 + O(x**10) + + +def test_sinh_fdiff(): + x = Symbol('x') + raises(ArgumentIndexError, lambda: sinh(x).fdiff(2)) + + +def test_cosh(): + x, y = symbols('x,y') + + k = Symbol('k', integer=True) + + assert cosh(nan) is nan + assert cosh(zoo) is nan + + assert cosh(oo) is oo + assert cosh(-oo) is oo + + assert cosh(0) == 1 + + assert unchanged(cosh, 1) + assert cosh(-1) == cosh(1) + + assert unchanged(cosh, x) + assert cosh(-x) == cosh(x) + + assert cosh(pi*I) == cos(pi) + assert cosh(-pi*I) == cos(pi) + + assert unchanged(cosh, 2**1024 * E) + assert cosh(-2**1024 * E) == cosh(2**1024 * E) + + assert cosh(pi*I/2) == 0 + assert cosh(-pi*I/2) == 0 + assert cosh((-3*10**73 + 1)*pi*I/2) == 0 + assert cosh((7*10**103 + 1)*pi*I/2) == 0 + + assert cosh(pi*I) == -1 + assert cosh(-pi*I) == -1 + assert cosh(5*pi*I) == -1 + assert cosh(8*pi*I) == 1 + + assert cosh(pi*I/3) == S.Half + assert cosh(pi*I*Rational(-2, 3)) == Rational(-1, 2) + + assert cosh(pi*I/4) == S.Half*sqrt(2) + assert cosh(-pi*I/4) == S.Half*sqrt(2) + assert cosh(pi*I*Rational(11, 4)) == Rational(-1, 2)*sqrt(2) + assert cosh(pi*I*Rational(-3, 4)) == Rational(-1, 2)*sqrt(2) + + assert cosh(pi*I/6) == S.Half*sqrt(3) + assert cosh(-pi*I/6) == S.Half*sqrt(3) + assert cosh(pi*I*Rational(7, 6)) == Rational(-1, 2)*sqrt(3) + assert cosh(pi*I*Rational(-5, 6)) == Rational(-1, 2)*sqrt(3) + + assert cosh(pi*I/105) == cos(pi/105) + assert cosh(-pi*I/105) == cos(pi/105) + + assert unchanged(cosh, 2 + 3*I) + + assert cosh(x*I) == cos(x) + + assert cosh(k*pi*I) == cos(k*pi) + assert cosh(17*k*pi*I) == cos(17*k*pi) + + assert unchanged(cosh, k*pi) + + assert cosh(x).as_real_imag(deep=False) == (cos(im(x))*cosh(re(x)), + sin(im(x))*sinh(re(x))) + x = Symbol('x', extended_real=True) + assert cosh(x).as_real_imag(deep=False) == (cosh(x), 0) + + x = Symbol('x', real=True) + assert cosh(I*x).is_finite is True + assert cosh(I*x).is_real is True + assert cosh(I*2 + 1).is_real is False + assert cosh(5*I*S.Pi/2, evaluate=False).is_zero is True + assert cosh(x).is_zero is False + + +def test_cosh_series(): + x = Symbol('x') + assert cosh(x).series(x, 0, 10) == \ + 1 + x**2/2 + x**4/24 + x**6/720 + x**8/40320 + O(x**10) + + +def test_cosh_fdiff(): + x = Symbol('x') + raises(ArgumentIndexError, lambda: cosh(x).fdiff(2)) + + +def test_tanh(): + x, y = symbols('x,y') + + k = Symbol('k', integer=True) + + assert tanh(nan) is nan + assert tanh(zoo) is nan + + assert tanh(oo) == 1 + assert tanh(-oo) == -1 + + assert tanh(0) == 0 + + assert unchanged(tanh, 1) + assert tanh(-1) == -tanh(1) + + assert unchanged(tanh, x) + assert tanh(-x) == -tanh(x) + + assert unchanged(tanh, pi) + assert tanh(-pi) == -tanh(pi) + + assert unchanged(tanh, 2**1024 * E) + assert tanh(-2**1024 * E) == -tanh(2**1024 * E) + + assert tanh(pi*I) == 0 + assert tanh(-pi*I) == 0 + assert tanh(2*pi*I) == 0 + assert tanh(-2*pi*I) == 0 + assert tanh(-3*10**73*pi*I) == 0 + assert tanh(7*10**103*pi*I) == 0 + + assert tanh(pi*I/2) is zoo + assert tanh(-pi*I/2) is zoo + assert tanh(pi*I*Rational(5, 2)) is zoo + assert tanh(pi*I*Rational(7, 2)) is zoo + + assert tanh(pi*I/3) == sqrt(3)*I + assert tanh(pi*I*Rational(-2, 3)) == sqrt(3)*I + + assert tanh(pi*I/4) == I + assert tanh(-pi*I/4) == -I + assert tanh(pi*I*Rational(17, 4)) == I + assert tanh(pi*I*Rational(-3, 4)) == I + + assert tanh(pi*I/6) == I/sqrt(3) + assert tanh(-pi*I/6) == -I/sqrt(3) + assert tanh(pi*I*Rational(7, 6)) == I/sqrt(3) + assert tanh(pi*I*Rational(-5, 6)) == I/sqrt(3) + + assert tanh(pi*I/105) == tan(pi/105)*I + assert tanh(-pi*I/105) == -tan(pi/105)*I + + assert unchanged(tanh, 2 + 3*I) + + assert tanh(x*I) == tan(x)*I + + assert tanh(k*pi*I) == 0 + assert tanh(17*k*pi*I) == 0 + + assert tanh(k*pi*I/2) == tan(k*pi/2)*I + + assert tanh(x).as_real_imag(deep=False) == (sinh(re(x))*cosh(re(x))/(cos(im(x))**2 + + sinh(re(x))**2), + sin(im(x))*cos(im(x))/(cos(im(x))**2 + sinh(re(x))**2)) + x = Symbol('x', extended_real=True) + assert tanh(x).as_real_imag(deep=False) == (tanh(x), 0) + assert tanh(I*pi/3 + 1).is_real is False + assert tanh(x).is_real is True + assert tanh(I*pi*x/2).is_real is None + + +def test_tanh_series(): + x = Symbol('x') + assert tanh(x).series(x, 0, 10) == \ + x - x**3/3 + 2*x**5/15 - 17*x**7/315 + 62*x**9/2835 + O(x**10) + + +def test_tanh_fdiff(): + x = Symbol('x') + raises(ArgumentIndexError, lambda: tanh(x).fdiff(2)) + + +def test_coth(): + x, y = symbols('x,y') + + k = Symbol('k', integer=True) + + assert coth(nan) is nan + assert coth(zoo) is nan + + assert coth(oo) == 1 + assert coth(-oo) == -1 + + assert coth(0) is zoo + assert unchanged(coth, 1) + assert coth(-1) == -coth(1) + + assert unchanged(coth, x) + assert coth(-x) == -coth(x) + + assert coth(pi*I) == -I*cot(pi) + assert coth(-pi*I) == cot(pi)*I + + assert unchanged(coth, 2**1024 * E) + assert coth(-2**1024 * E) == -coth(2**1024 * E) + + assert coth(pi*I) == -I*cot(pi) + assert coth(-pi*I) == I*cot(pi) + assert coth(2*pi*I) == -I*cot(2*pi) + assert coth(-2*pi*I) == I*cot(2*pi) + assert coth(-3*10**73*pi*I) == I*cot(3*10**73*pi) + assert coth(7*10**103*pi*I) == -I*cot(7*10**103*pi) + + assert coth(pi*I/2) == 0 + assert coth(-pi*I/2) == 0 + assert coth(pi*I*Rational(5, 2)) == 0 + assert coth(pi*I*Rational(7, 2)) == 0 + + assert coth(pi*I/3) == -I/sqrt(3) + assert coth(pi*I*Rational(-2, 3)) == -I/sqrt(3) + + assert coth(pi*I/4) == -I + assert coth(-pi*I/4) == I + assert coth(pi*I*Rational(17, 4)) == -I + assert coth(pi*I*Rational(-3, 4)) == -I + + assert coth(pi*I/6) == -sqrt(3)*I + assert coth(-pi*I/6) == sqrt(3)*I + assert coth(pi*I*Rational(7, 6)) == -sqrt(3)*I + assert coth(pi*I*Rational(-5, 6)) == -sqrt(3)*I + + assert coth(pi*I/105) == -cot(pi/105)*I + assert coth(-pi*I/105) == cot(pi/105)*I + + assert unchanged(coth, 2 + 3*I) + + assert coth(x*I) == -cot(x)*I + + assert coth(k*pi*I) == -cot(k*pi)*I + assert coth(17*k*pi*I) == -cot(17*k*pi)*I + + assert coth(k*pi*I) == -cot(k*pi)*I + + assert coth(log(tan(2))) == coth(log(-tan(2))) + assert coth(1 + I*pi/2) == tanh(1) + + assert coth(x).as_real_imag(deep=False) == (sinh(re(x))*cosh(re(x))/(sin(im(x))**2 + + sinh(re(x))**2), + -sin(im(x))*cos(im(x))/(sin(im(x))**2 + sinh(re(x))**2)) + x = Symbol('x', extended_real=True) + assert coth(x).as_real_imag(deep=False) == (coth(x), 0) + + assert expand_trig(coth(2*x)) == (coth(x)**2 + 1)/(2*coth(x)) + assert expand_trig(coth(3*x)) == (coth(x)**3 + 3*coth(x))/(1 + 3*coth(x)**2) + + assert expand_trig(coth(x + y)) == (1 + coth(x)*coth(y))/(coth(x) + coth(y)) + + +def test_coth_series(): + x = Symbol('x') + assert coth(x).series(x, 0, 8) == \ + 1/x + x/3 - x**3/45 + 2*x**5/945 - x**7/4725 + O(x**8) + + +def test_coth_fdiff(): + x = Symbol('x') + raises(ArgumentIndexError, lambda: coth(x).fdiff(2)) + + +def test_csch(): + x, y = symbols('x,y') + + k = Symbol('k', integer=True) + n = Symbol('n', positive=True) + + assert csch(nan) is nan + assert csch(zoo) is nan + + assert csch(oo) == 0 + assert csch(-oo) == 0 + + assert csch(0) is zoo + + assert csch(-1) == -csch(1) + + assert csch(-x) == -csch(x) + assert csch(-pi) == -csch(pi) + assert csch(-2**1024 * E) == -csch(2**1024 * E) + + assert csch(pi*I) is zoo + assert csch(-pi*I) is zoo + assert csch(2*pi*I) is zoo + assert csch(-2*pi*I) is zoo + assert csch(-3*10**73*pi*I) is zoo + assert csch(7*10**103*pi*I) is zoo + + assert csch(pi*I/2) == -I + assert csch(-pi*I/2) == I + assert csch(pi*I*Rational(5, 2)) == -I + assert csch(pi*I*Rational(7, 2)) == I + + assert csch(pi*I/3) == -2/sqrt(3)*I + assert csch(pi*I*Rational(-2, 3)) == 2/sqrt(3)*I + + assert csch(pi*I/4) == -sqrt(2)*I + assert csch(-pi*I/4) == sqrt(2)*I + assert csch(pi*I*Rational(7, 4)) == sqrt(2)*I + assert csch(pi*I*Rational(-3, 4)) == sqrt(2)*I + + assert csch(pi*I/6) == -2*I + assert csch(-pi*I/6) == 2*I + assert csch(pi*I*Rational(7, 6)) == 2*I + assert csch(pi*I*Rational(-7, 6)) == -2*I + assert csch(pi*I*Rational(-5, 6)) == 2*I + + assert csch(pi*I/105) == -1/sin(pi/105)*I + assert csch(-pi*I/105) == 1/sin(pi/105)*I + + assert csch(x*I) == -1/sin(x)*I + + assert csch(k*pi*I) is zoo + assert csch(17*k*pi*I) is zoo + + assert csch(k*pi*I/2) == -1/sin(k*pi/2)*I + + assert csch(n).is_real is True + + assert expand_trig(csch(x + y)) == 1/(sinh(x)*cosh(y) + cosh(x)*sinh(y)) + + +def test_csch_series(): + x = Symbol('x') + assert csch(x).series(x, 0, 10) == \ + 1/ x - x/6 + 7*x**3/360 - 31*x**5/15120 + 127*x**7/604800 \ + - 73*x**9/3421440 + O(x**10) + + +def test_csch_fdiff(): + x = Symbol('x') + raises(ArgumentIndexError, lambda: csch(x).fdiff(2)) + + +def test_sech(): + x, y = symbols('x, y') + + k = Symbol('k', integer=True) + n = Symbol('n', positive=True) + + assert sech(nan) is nan + assert sech(zoo) is nan + + assert sech(oo) == 0 + assert sech(-oo) == 0 + + assert sech(0) == 1 + + assert sech(-1) == sech(1) + assert sech(-x) == sech(x) + + assert sech(pi*I) == sec(pi) + + assert sech(-pi*I) == sec(pi) + assert sech(-2**1024 * E) == sech(2**1024 * E) + + assert sech(pi*I/2) is zoo + assert sech(-pi*I/2) is zoo + assert sech((-3*10**73 + 1)*pi*I/2) is zoo + assert sech((7*10**103 + 1)*pi*I/2) is zoo + + assert sech(pi*I) == -1 + assert sech(-pi*I) == -1 + assert sech(5*pi*I) == -1 + assert sech(8*pi*I) == 1 + + assert sech(pi*I/3) == 2 + assert sech(pi*I*Rational(-2, 3)) == -2 + + assert sech(pi*I/4) == sqrt(2) + assert sech(-pi*I/4) == sqrt(2) + assert sech(pi*I*Rational(5, 4)) == -sqrt(2) + assert sech(pi*I*Rational(-5, 4)) == -sqrt(2) + + assert sech(pi*I/6) == 2/sqrt(3) + assert sech(-pi*I/6) == 2/sqrt(3) + assert sech(pi*I*Rational(7, 6)) == -2/sqrt(3) + assert sech(pi*I*Rational(-5, 6)) == -2/sqrt(3) + + assert sech(pi*I/105) == 1/cos(pi/105) + assert sech(-pi*I/105) == 1/cos(pi/105) + + assert sech(x*I) == 1/cos(x) + + assert sech(k*pi*I) == 1/cos(k*pi) + assert sech(17*k*pi*I) == 1/cos(17*k*pi) + + assert sech(n).is_real is True + + assert expand_trig(sech(x + y)) == 1/(cosh(x)*cosh(y) + sinh(x)*sinh(y)) + + +def test_sech_series(): + x = Symbol('x') + assert sech(x).series(x, 0, 10) == \ + 1 - x**2/2 + 5*x**4/24 - 61*x**6/720 + 277*x**8/8064 + O(x**10) + + +def test_sech_fdiff(): + x = Symbol('x') + raises(ArgumentIndexError, lambda: sech(x).fdiff(2)) + + +def test_asinh(): + x, y = symbols('x,y') + assert unchanged(asinh, x) + assert asinh(-x) == -asinh(x) + + # at specific points + assert asinh(nan) is nan + assert asinh( 0) == 0 + assert asinh(+1) == log(sqrt(2) + 1) + + assert asinh(-1) == log(sqrt(2) - 1) + assert asinh(I) == pi*I/2 + assert asinh(-I) == -pi*I/2 + assert asinh(I/2) == pi*I/6 + assert asinh(-I/2) == -pi*I/6 + + # at infinites + assert asinh(oo) is oo + assert asinh(-oo) is -oo + + assert asinh(I*oo) is oo + assert asinh(-I *oo) is -oo + + assert asinh(zoo) is zoo + + # properties + assert asinh(I *(sqrt(3) - 1)/(2**Rational(3, 2))) == pi*I/12 + assert asinh(-I *(sqrt(3) - 1)/(2**Rational(3, 2))) == -pi*I/12 + + assert asinh(I*(sqrt(5) - 1)/4) == pi*I/10 + assert asinh(-I*(sqrt(5) - 1)/4) == -pi*I/10 + + assert asinh(I*(sqrt(5) + 1)/4) == pi*I*Rational(3, 10) + assert asinh(-I*(sqrt(5) + 1)/4) == pi*I*Rational(-3, 10) + + # reality + assert asinh(S(2)).is_real is True + assert asinh(S(2)).is_finite is True + assert asinh(S(-2)).is_real is True + assert asinh(S(oo)).is_extended_real is True + assert asinh(-S(oo)).is_real is False + assert (asinh(2) - oo) == -oo + assert asinh(symbols('y', real=True)).is_real is True + + # Symmetry + assert asinh(Rational(-1, 2)) == -asinh(S.Half) + + # inverse composition + assert unchanged(asinh, sinh(Symbol('v1'))) + + assert asinh(sinh(0, evaluate=False)) == 0 + assert asinh(sinh(-3, evaluate=False)) == -3 + assert asinh(sinh(2, evaluate=False)) == 2 + assert asinh(sinh(I, evaluate=False)) == I + assert asinh(sinh(-I, evaluate=False)) == -I + assert asinh(sinh(5*I, evaluate=False)) == -2*I*pi + 5*I + assert asinh(sinh(15 + 11*I)) == 15 - 4*I*pi + 11*I + assert asinh(sinh(-73 + 97*I)) == 73 - 97*I + 31*I*pi + assert asinh(sinh(-7 - 23*I)) == 7 - 7*I*pi + 23*I + assert asinh(sinh(13 - 3*I)) == -13 - I*pi + 3*I + p = Symbol('p', positive=True) + assert asinh(p).is_zero is False + assert asinh(sinh(0, evaluate=False), evaluate=False).is_zero is True + + +def test_asinh_rewrite(): + x = Symbol('x') + assert asinh(x).rewrite(log) == log(x + sqrt(x**2 + 1)) + assert asinh(x).rewrite(atanh) == atanh(x/sqrt(1 + x**2)) + assert asinh(x).rewrite(asin) == -I*asin(I*x, evaluate=False) + assert asinh(x*(1 + I)).rewrite(asin) == -I*asin(I*x*(1+I)) + assert asinh(x).rewrite(acos) == I*acos(I*x, evaluate=False) - I*pi/2 + + +def test_asinh_leading_term(): + x = Symbol('x') + assert asinh(x).as_leading_term(x, cdir=1) == x + # Tests concerning branch points + assert asinh(x + I).as_leading_term(x, cdir=1) == I*pi/2 + assert asinh(x - I).as_leading_term(x, cdir=1) == -I*pi/2 + assert asinh(1/x).as_leading_term(x, cdir=1) == -log(x) + log(2) + assert asinh(1/x).as_leading_term(x, cdir=-1) == log(x) - log(2) - I*pi + # Tests concerning points lying on branch cuts + assert asinh(x + 2*I).as_leading_term(x, cdir=1) == I*asin(2) + assert asinh(x + 2*I).as_leading_term(x, cdir=-1) == -I*asin(2) + I*pi + assert asinh(x - 2*I).as_leading_term(x, cdir=1) == -I*pi + I*asin(2) + assert asinh(x - 2*I).as_leading_term(x, cdir=-1) == -I*asin(2) + # Tests concerning re(ndir) == 0 + assert asinh(2*I + I*x - x**2).as_leading_term(x, cdir=1) == log(2 - sqrt(3)) + I*pi/2 + assert asinh(2*I + I*x - x**2).as_leading_term(x, cdir=-1) == log(2 - sqrt(3)) + I*pi/2 + + +def test_asinh_series(): + x = Symbol('x') + assert asinh(x).series(x, 0, 8) == \ + x - x**3/6 + 3*x**5/40 - 5*x**7/112 + O(x**8) + t5 = asinh(x).taylor_term(5, x) + assert t5 == 3*x**5/40 + assert asinh(x).taylor_term(7, x, t5, 0) == -5*x**7/112 + + +def test_asinh_nseries(): + x = Symbol('x') + # Tests concerning branch points + assert asinh(x + I)._eval_nseries(x, 4, None) == I*pi/2 - \ + sqrt(2)*sqrt(I)*I*sqrt(x) + sqrt(2)*sqrt(I)*x**(S(3)/2)/12 + 3*sqrt(2)*sqrt(I)*I*x**(S(5)/2)/160 - \ + 5*sqrt(2)*sqrt(I)*x**(S(7)/2)/896 + O(x**4) + assert asinh(x - I)._eval_nseries(x, 4, None) == -I*pi/2 + \ + sqrt(2)*I*sqrt(x)*sqrt(-I) + sqrt(2)*x**(S(3)/2)*sqrt(-I)/12 - \ + 3*sqrt(2)*I*x**(S(5)/2)*sqrt(-I)/160 - 5*sqrt(2)*x**(S(7)/2)*sqrt(-I)/896 + O(x**4) + # Tests concerning points lying on branch cuts + assert asinh(x + 2*I)._eval_nseries(x, 4, None, cdir=1) == I*asin(2) - \ + sqrt(3)*I*x/3 + sqrt(3)*x**2/9 + sqrt(3)*I*x**3/18 + O(x**4) + assert asinh(x + 2*I)._eval_nseries(x, 4, None, cdir=-1) == I*pi - I*asin(2) + \ + sqrt(3)*I*x/3 - sqrt(3)*x**2/9 - sqrt(3)*I*x**3/18 + O(x**4) + assert asinh(x - 2*I)._eval_nseries(x, 4, None, cdir=1) == I*asin(2) - I*pi + \ + sqrt(3)*I*x/3 + sqrt(3)*x**2/9 - sqrt(3)*I*x**3/18 + O(x**4) + assert asinh(x - 2*I)._eval_nseries(x, 4, None, cdir=-1) == -I*asin(2) - \ + sqrt(3)*I*x/3 - sqrt(3)*x**2/9 + sqrt(3)*I*x**3/18 + O(x**4) + # Tests concerning re(ndir) == 0 + assert asinh(2*I + I*x - x**2)._eval_nseries(x, 4, None) == I*pi/2 + log(2 - sqrt(3)) + \ + x*(-3 + 2*sqrt(3))/(-6 + 3*sqrt(3)) + x**2*(12 - 36*I + sqrt(3)*(-7 + 21*I))/(-63 + \ + 36*sqrt(3)) + x**3*(-168 + sqrt(3)*(97 - 388*I) + 672*I)/(-1746 + 1008*sqrt(3)) + O(x**4) + + +def test_asinh_fdiff(): + x = Symbol('x') + raises(ArgumentIndexError, lambda: asinh(x).fdiff(2)) + + +def test_acosh(): + x = Symbol('x') + + assert unchanged(acosh, -x) + + #at specific points + assert acosh(1) == 0 + assert acosh(-1) == pi*I + assert acosh(0) == I*pi/2 + assert acosh(S.Half) == I*pi/3 + assert acosh(Rational(-1, 2)) == pi*I*Rational(2, 3) + assert acosh(nan) is nan + + # at infinites + assert acosh(oo) is oo + assert acosh(-oo) is oo + + assert acosh(I*oo) == oo + I*pi/2 + assert acosh(-I*oo) == oo - I*pi/2 + + assert acosh(zoo) is zoo + + assert acosh(I) == log(I*(1 + sqrt(2))) + assert acosh(-I) == log(-I*(1 + sqrt(2))) + assert acosh((sqrt(3) - 1)/(2*sqrt(2))) == pi*I*Rational(5, 12) + assert acosh(-(sqrt(3) - 1)/(2*sqrt(2))) == pi*I*Rational(7, 12) + assert acosh(sqrt(2)/2) == I*pi/4 + assert acosh(-sqrt(2)/2) == I*pi*Rational(3, 4) + assert acosh(sqrt(3)/2) == I*pi/6 + assert acosh(-sqrt(3)/2) == I*pi*Rational(5, 6) + assert acosh(sqrt(2 + sqrt(2))/2) == I*pi/8 + assert acosh(-sqrt(2 + sqrt(2))/2) == I*pi*Rational(7, 8) + assert acosh(sqrt(2 - sqrt(2))/2) == I*pi*Rational(3, 8) + assert acosh(-sqrt(2 - sqrt(2))/2) == I*pi*Rational(5, 8) + assert acosh((1 + sqrt(3))/(2*sqrt(2))) == I*pi/12 + assert acosh(-(1 + sqrt(3))/(2*sqrt(2))) == I*pi*Rational(11, 12) + assert acosh((sqrt(5) + 1)/4) == I*pi/5 + assert acosh(-(sqrt(5) + 1)/4) == I*pi*Rational(4, 5) + + assert str(acosh(5*I).n(6)) == '2.31244 + 1.5708*I' + assert str(acosh(-5*I).n(6)) == '2.31244 - 1.5708*I' + + # inverse composition + assert unchanged(acosh, Symbol('v1')) + + assert acosh(cosh(-3, evaluate=False)) == 3 + assert acosh(cosh(3, evaluate=False)) == 3 + assert acosh(cosh(0, evaluate=False)) == 0 + assert acosh(cosh(I, evaluate=False)) == I + assert acosh(cosh(-I, evaluate=False)) == I + assert acosh(cosh(7*I, evaluate=False)) == -2*I*pi + 7*I + assert acosh(cosh(1 + I)) == 1 + I + assert acosh(cosh(3 - 3*I)) == 3 - 3*I + assert acosh(cosh(-3 + 2*I)) == 3 - 2*I + assert acosh(cosh(-5 - 17*I)) == 5 - 6*I*pi + 17*I + assert acosh(cosh(-21 + 11*I)) == 21 - 11*I + 4*I*pi + assert acosh(cosh(cosh(1) + I)) == cosh(1) + I + assert acosh(1, evaluate=False).is_zero is True + + # Reality + assert acosh(S(2)).is_real is True + assert acosh(S(2)).is_extended_real is True + assert acosh(oo).is_extended_real is True + assert acosh(S(2)).is_finite is True + assert acosh(S(1) / 5).is_real is False + assert (acosh(2) - oo) == -oo + assert acosh(symbols('y', real=True)).is_real is None + + +def test_acosh_rewrite(): + x = Symbol('x') + assert acosh(x).rewrite(log) == log(x + sqrt(x - 1)*sqrt(x + 1)) + assert acosh(x).rewrite(asin) == sqrt(x - 1)*(-asin(x) + pi/2)/sqrt(1 - x) + assert acosh(x).rewrite(asinh) == sqrt(x - 1)*(I*asinh(I*x, evaluate=False) + pi/2)/sqrt(1 - x) + assert acosh(x).rewrite(atanh) == \ + (sqrt(x - 1)*sqrt(x + 1)*atanh(sqrt(x**2 - 1)/x)/sqrt(x**2 - 1) + + pi*sqrt(x - 1)*(-x*sqrt(x**(-2)) + 1)/(2*sqrt(1 - x))) + x = Symbol('x', positive=True) + assert acosh(x).rewrite(atanh) == \ + sqrt(x - 1)*sqrt(x + 1)*atanh(sqrt(x**2 - 1)/x)/sqrt(x**2 - 1) + + +def test_acosh_leading_term(): + x = Symbol('x') + # Tests concerning branch points + assert acosh(x).as_leading_term(x) == I*pi/2 + assert acosh(x + 1).as_leading_term(x) == sqrt(2)*sqrt(x) + assert acosh(x - 1).as_leading_term(x) == I*pi + assert acosh(1/x).as_leading_term(x, cdir=1) == -log(x) + log(2) + assert acosh(1/x).as_leading_term(x, cdir=-1) == -log(x) + log(2) + 2*I*pi + # Tests concerning points lying on branch cuts + assert acosh(I*x - 2).as_leading_term(x, cdir=1) == acosh(-2) + assert acosh(-I*x - 2).as_leading_term(x, cdir=1) == -2*I*pi + acosh(-2) + assert acosh(x**2 - I*x + S(1)/3).as_leading_term(x, cdir=1) == -acosh(S(1)/3) + assert acosh(x**2 - I*x + S(1)/3).as_leading_term(x, cdir=-1) == acosh(S(1)/3) + assert acosh(1/(I*x - 3)).as_leading_term(x, cdir=1) == -acosh(-S(1)/3) + assert acosh(1/(I*x - 3)).as_leading_term(x, cdir=-1) == acosh(-S(1)/3) + # Tests concerning im(ndir) == 0 + assert acosh(-I*x**2 + x - 2).as_leading_term(x, cdir=1) == log(sqrt(3) + 2) - I*pi + assert acosh(-I*x**2 + x - 2).as_leading_term(x, cdir=-1) == log(sqrt(3) + 2) - I*pi + + +def test_acosh_series(): + x = Symbol('x') + assert acosh(x).series(x, 0, 8) == \ + -I*x + pi*I/2 - I*x**3/6 - 3*I*x**5/40 - 5*I*x**7/112 + O(x**8) + t5 = acosh(x).taylor_term(5, x) + assert t5 == - 3*I*x**5/40 + assert acosh(x).taylor_term(7, x, t5, 0) == - 5*I*x**7/112 + + +def test_acosh_nseries(): + x = Symbol('x') + # Tests concerning branch points + assert acosh(x + 1)._eval_nseries(x, 4, None) == sqrt(2)*sqrt(x) - \ + sqrt(2)*x**(S(3)/2)/12 + 3*sqrt(2)*x**(S(5)/2)/160 - 5*sqrt(2)*x**(S(7)/2)/896 + O(x**4) + # Tests concerning points lying on branch cuts + assert acosh(x - 1)._eval_nseries(x, 4, None) == I*pi - \ + sqrt(2)*I*sqrt(x) - sqrt(2)*I*x**(S(3)/2)/12 - 3*sqrt(2)*I*x**(S(5)/2)/160 - \ + 5*sqrt(2)*I*x**(S(7)/2)/896 + O(x**4) + assert acosh(I*x - 2)._eval_nseries(x, 4, None, cdir=1) == acosh(-2) - \ + sqrt(3)*I*x/3 + sqrt(3)*x**2/9 + sqrt(3)*I*x**3/18 + O(x**4) + assert acosh(-I*x - 2)._eval_nseries(x, 4, None, cdir=1) == acosh(-2) - \ + 2*I*pi + sqrt(3)*I*x/3 + sqrt(3)*x**2/9 - sqrt(3)*I*x**3/18 + O(x**4) + assert acosh(1/(I*x - 3))._eval_nseries(x, 4, None, cdir=1) == -acosh(-S(1)/3) + \ + sqrt(2)*x/12 + 17*sqrt(2)*I*x**2/576 - 443*sqrt(2)*x**3/41472 + O(x**4) + assert acosh(1/(I*x - 3))._eval_nseries(x, 4, None, cdir=-1) == acosh(-S(1)/3) - \ + sqrt(2)*x/12 - 17*sqrt(2)*I*x**2/576 + 443*sqrt(2)*x**3/41472 + O(x**4) + # Tests concerning im(ndir) == 0 + assert acosh(-I*x**2 + x - 2)._eval_nseries(x, 4, None) == -I*pi + log(sqrt(3) + 2) + \ + x*(-2*sqrt(3) - 3)/(3*sqrt(3) + 6) + x**2*(-12 + 36*I + sqrt(3)*(-7 + 21*I))/(36*sqrt(3) + \ + 63) + x**3*(-168 + 672*I + sqrt(3)*(-97 + 388*I))/(1008*sqrt(3) + 1746) + O(x**4) + + +def test_acosh_fdiff(): + x = Symbol('x') + raises(ArgumentIndexError, lambda: acosh(x).fdiff(2)) + + +def test_asech(): + x = Symbol('x') + + assert unchanged(asech, -x) + + # values at fixed points + assert asech(1) == 0 + assert asech(-1) == pi*I + assert asech(0) is oo + assert asech(2) == I*pi/3 + assert asech(-2) == 2*I*pi / 3 + assert asech(nan) is nan + + # at infinites + assert asech(oo) == I*pi/2 + assert asech(-oo) == I*pi/2 + assert asech(zoo) == I*AccumBounds(-pi/2, pi/2) + + assert asech(I) == log(1 + sqrt(2)) - I*pi/2 + assert asech(-I) == log(1 + sqrt(2)) + I*pi/2 + assert asech(sqrt(2) - sqrt(6)) == 11*I*pi / 12 + assert asech(sqrt(2 - 2/sqrt(5))) == I*pi / 10 + assert asech(-sqrt(2 - 2/sqrt(5))) == 9*I*pi / 10 + assert asech(2 / sqrt(2 + sqrt(2))) == I*pi / 8 + assert asech(-2 / sqrt(2 + sqrt(2))) == 7*I*pi / 8 + assert asech(sqrt(5) - 1) == I*pi / 5 + assert asech(1 - sqrt(5)) == 4*I*pi / 5 + assert asech(-sqrt(2*(2 + sqrt(2)))) == 5*I*pi / 8 + + # properties + # asech(x) == acosh(1/x) + assert asech(sqrt(2)) == acosh(1/sqrt(2)) + assert asech(2/sqrt(3)) == acosh(sqrt(3)/2) + assert asech(2/sqrt(2 + sqrt(2))) == acosh(sqrt(2 + sqrt(2))/2) + assert asech(2) == acosh(S.Half) + + # reality + assert asech(S(2)).is_real is False + assert asech(-S(1) / 3).is_real is False + assert asech(S(2) / 3).is_finite is True + assert asech(S(0)).is_real is False + assert asech(S(0)).is_extended_real is True + assert asech(symbols('y', real=True)).is_real is None + + # asech(x) == I*acos(1/x) + # (Note: the exact formula is asech(x) == +/- I*acos(1/x)) + assert asech(-sqrt(2)) == I*acos(-1/sqrt(2)) + assert asech(-2/sqrt(3)) == I*acos(-sqrt(3)/2) + assert asech(-S(2)) == I*acos(Rational(-1, 2)) + assert asech(-2/sqrt(2)) == I*acos(-sqrt(2)/2) + + # sech(asech(x)) / x == 1 + assert expand_mul(sech(asech(sqrt(6) - sqrt(2))) / (sqrt(6) - sqrt(2))) == 1 + assert expand_mul(sech(asech(sqrt(6) + sqrt(2))) / (sqrt(6) + sqrt(2))) == 1 + assert (sech(asech(sqrt(2 + 2/sqrt(5)))) / (sqrt(2 + 2/sqrt(5)))).simplify() == 1 + assert (sech(asech(-sqrt(2 + 2/sqrt(5)))) / (-sqrt(2 + 2/sqrt(5)))).simplify() == 1 + assert (sech(asech(sqrt(2*(2 + sqrt(2))))) / (sqrt(2*(2 + sqrt(2))))).simplify() == 1 + assert expand_mul(sech(asech(1 + sqrt(5))) / (1 + sqrt(5))) == 1 + assert expand_mul(sech(asech(-1 - sqrt(5))) / (-1 - sqrt(5))) == 1 + assert expand_mul(sech(asech(-sqrt(6) - sqrt(2))) / (-sqrt(6) - sqrt(2))) == 1 + + # numerical evaluation + assert str(asech(5*I).n(6)) == '0.19869 - 1.5708*I' + assert str(asech(-5*I).n(6)) == '0.19869 + 1.5708*I' + + +def test_asech_leading_term(): + x = Symbol('x') + # Tests concerning branch points + assert asech(x).as_leading_term(x, cdir=1) == -log(x) + log(2) + assert asech(x).as_leading_term(x, cdir=-1) == -log(x) + log(2) + 2*I*pi + assert asech(x + 1).as_leading_term(x, cdir=1) == sqrt(2)*I*sqrt(x) + assert asech(1/x).as_leading_term(x, cdir=1) == I*pi/2 + # Tests concerning points lying on branch cuts + assert asech(x - 1).as_leading_term(x, cdir=1) == I*pi + assert asech(I*x + 3).as_leading_term(x, cdir=1) == -asech(3) + assert asech(-I*x + 3).as_leading_term(x, cdir=1) == asech(3) + assert asech(I*x - 3).as_leading_term(x, cdir=1) == -asech(-3) + assert asech(-I*x - 3).as_leading_term(x, cdir=1) == asech(-3) + assert asech(I*x - S(1)/3).as_leading_term(x, cdir=1) == -2*I*pi + asech(-S(1)/3) + assert asech(I*x - S(1)/3).as_leading_term(x, cdir=-1) == asech(-S(1)/3) + # Tests concerning im(ndir) == 0 + assert asech(-I*x**2 + x - 3).as_leading_term(x, cdir=1) == log(-S(1)/3 + 2*sqrt(2)*I/3) + assert asech(-I*x**2 + x - 3).as_leading_term(x, cdir=-1) == log(-S(1)/3 + 2*sqrt(2)*I/3) + + +def test_asech_series(): + x = Symbol('x') + assert asech(x).series(x, 0, 9, cdir=1) == log(2) - log(x) - x**2/4 - 3*x**4/32 \ + - 5*x**6/96 - 35*x**8/1024 + O(x**9) + assert asech(x).series(x, 0, 9, cdir=-1) == I*pi + log(2) - log(-x) - x**2/4 - \ + 3*x**4/32 - 5*x**6/96 - 35*x**8/1024 + O(x**9) + t6 = asech(x).taylor_term(6, x) + assert t6 == -5*x**6/96 + assert asech(x).taylor_term(8, x, t6, 0) == -35*x**8/1024 + + +def test_asech_nseries(): + x = Symbol('x') + # Tests concerning branch points + assert asech(x + 1)._eval_nseries(x, 4, None) == sqrt(2)*sqrt(-x) + 5*sqrt(2)*(-x)**(S(3)/2)/12 + \ + 43*sqrt(2)*(-x)**(S(5)/2)/160 + 177*sqrt(2)*(-x)**(S(7)/2)/896 + O(x**4) + # Tests concerning points lying on branch cuts + assert asech(x - 1)._eval_nseries(x, 4, None) == I*pi + sqrt(2)*sqrt(x) + \ + 5*sqrt(2)*x**(S(3)/2)/12 + 43*sqrt(2)*x**(S(5)/2)/160 + 177*sqrt(2)*x**(S(7)/2)/896 + O(x**4) + assert asech(I*x + 3)._eval_nseries(x, 4, None) == -asech(3) + sqrt(2)*x/12 - \ + 17*sqrt(2)*I*x**2/576 - 443*sqrt(2)*x**3/41472 + O(x**4) + assert asech(-I*x + 3)._eval_nseries(x, 4, None) == asech(3) + sqrt(2)*x/12 + \ + 17*sqrt(2)*I*x**2/576 - 443*sqrt(2)*x**3/41472 + O(x**4) + assert asech(I*x - 3)._eval_nseries(x, 4, None) == -asech(-3) - sqrt(2)*x/12 - \ + 17*sqrt(2)*I*x**2/576 + 443*sqrt(2)*x**3/41472 + O(x**4) + assert asech(-I*x - 3)._eval_nseries(x, 4, None) == asech(-3) - sqrt(2)*x/12 + \ + 17*sqrt(2)*I*x**2/576 + 443*sqrt(2)*x**3/41472 + O(x**4) + # Tests concerning im(ndir) == 0 + assert asech(-I*x**2 + x - 2)._eval_nseries(x, 3, None) == 2*I*pi/3 + \ + x*(-sqrt(3) + 3*I)/(6*sqrt(3) + 6*I) + x**2*(36 + sqrt(3)*(7 - 12*I) + 21*I)/(72*sqrt(3) - \ + 72*I) + O(x**3) + + +def test_asech_rewrite(): + x = Symbol('x') + assert asech(x).rewrite(log) == log(1/x + sqrt(1/x - 1) * sqrt(1/x + 1)) + assert asech(x).rewrite(acosh) == acosh(1/x) + assert asech(x).rewrite(asinh) == sqrt(-1 + 1/x)*(I*asinh(I/x, evaluate=False) + pi/2)/sqrt(1 - 1/x) + assert asech(x).rewrite(atanh) == \ + sqrt(x + 1)*sqrt(1/(x + 1))*atanh(sqrt(1 - x**2)) + I*pi*(-sqrt(x)*sqrt(1/x) + 1 - I*sqrt(x**2)/(2*sqrt(-x**2)) - I*sqrt(-x)/(2*sqrt(x))) + + +def test_asech_fdiff(): + x = Symbol('x') + raises(ArgumentIndexError, lambda: asech(x).fdiff(2)) + + +def test_acsch(): + x = Symbol('x') + + assert unchanged(acsch, x) + assert acsch(-x) == -acsch(x) + + # values at fixed points + assert acsch(1) == log(1 + sqrt(2)) + assert acsch(-1) == - log(1 + sqrt(2)) + assert acsch(0) is zoo + assert acsch(2) == log((1+sqrt(5))/2) + assert acsch(-2) == - log((1+sqrt(5))/2) + + assert acsch(I) == - I*pi/2 + assert acsch(-I) == I*pi/2 + assert acsch(-I*(sqrt(6) + sqrt(2))) == I*pi / 12 + assert acsch(I*(sqrt(2) + sqrt(6))) == -I*pi / 12 + assert acsch(-I*(1 + sqrt(5))) == I*pi / 10 + assert acsch(I*(1 + sqrt(5))) == -I*pi / 10 + assert acsch(-I*2 / sqrt(2 - sqrt(2))) == I*pi / 8 + assert acsch(I*2 / sqrt(2 - sqrt(2))) == -I*pi / 8 + assert acsch(-I*2) == I*pi / 6 + assert acsch(I*2) == -I*pi / 6 + assert acsch(-I*sqrt(2 + 2/sqrt(5))) == I*pi / 5 + assert acsch(I*sqrt(2 + 2/sqrt(5))) == -I*pi / 5 + assert acsch(-I*sqrt(2)) == I*pi / 4 + assert acsch(I*sqrt(2)) == -I*pi / 4 + assert acsch(-I*(sqrt(5)-1)) == 3*I*pi / 10 + assert acsch(I*(sqrt(5)-1)) == -3*I*pi / 10 + assert acsch(-I*2 / sqrt(3)) == I*pi / 3 + assert acsch(I*2 / sqrt(3)) == -I*pi / 3 + assert acsch(-I*2 / sqrt(2 + sqrt(2))) == 3*I*pi / 8 + assert acsch(I*2 / sqrt(2 + sqrt(2))) == -3*I*pi / 8 + assert acsch(-I*sqrt(2 - 2/sqrt(5))) == 2*I*pi / 5 + assert acsch(I*sqrt(2 - 2/sqrt(5))) == -2*I*pi / 5 + assert acsch(-I*(sqrt(6) - sqrt(2))) == 5*I*pi / 12 + assert acsch(I*(sqrt(6) - sqrt(2))) == -5*I*pi / 12 + assert acsch(nan) is nan + + # properties + # acsch(x) == asinh(1/x) + assert acsch(-I*sqrt(2)) == asinh(I/sqrt(2)) + assert acsch(-I*2 / sqrt(3)) == asinh(I*sqrt(3) / 2) + + # reality + assert acsch(S(2)).is_real is True + assert acsch(S(2)).is_finite is True + assert acsch(S(-2)).is_real is True + assert acsch(S(oo)).is_extended_real is True + assert acsch(-S(oo)).is_real is True + assert (acsch(2) - oo) == -oo + assert acsch(symbols('y', extended_real=True)).is_extended_real is True + + # acsch(x) == -I*asin(I/x) + assert acsch(-I*sqrt(2)) == -I*asin(-1/sqrt(2)) + assert acsch(-I*2 / sqrt(3)) == -I*asin(-sqrt(3)/2) + + # csch(acsch(x)) / x == 1 + assert expand_mul(csch(acsch(-I*(sqrt(6) + sqrt(2)))) / (-I*(sqrt(6) + sqrt(2)))) == 1 + assert expand_mul(csch(acsch(I*(1 + sqrt(5)))) / (I*(1 + sqrt(5)))) == 1 + assert (csch(acsch(I*sqrt(2 - 2/sqrt(5)))) / (I*sqrt(2 - 2/sqrt(5)))).simplify() == 1 + assert (csch(acsch(-I*sqrt(2 - 2/sqrt(5)))) / (-I*sqrt(2 - 2/sqrt(5)))).simplify() == 1 + + # numerical evaluation + assert str(acsch(5*I+1).n(6)) == '0.0391819 - 0.193363*I' + assert str(acsch(-5*I+1).n(6)) == '0.0391819 + 0.193363*I' + + +def test_acsch_infinities(): + assert acsch(oo) == 0 + assert acsch(-oo) == 0 + assert acsch(zoo) == 0 + + +def test_acsch_leading_term(): + x = Symbol('x') + assert acsch(1/x).as_leading_term(x) == x + # Tests concerning branch points + assert acsch(x + I).as_leading_term(x) == -I*pi/2 + assert acsch(x - I).as_leading_term(x) == I*pi/2 + # Tests concerning points lying on branch cuts + assert acsch(x).as_leading_term(x, cdir=1) == -log(x) + log(2) + assert acsch(x).as_leading_term(x, cdir=-1) == log(x) - log(2) - I*pi + assert acsch(x + I/2).as_leading_term(x, cdir=1) == -I*pi - acsch(I/2) + assert acsch(x + I/2).as_leading_term(x, cdir=-1) == acsch(I/2) + assert acsch(x - I/2).as_leading_term(x, cdir=1) == -acsch(I/2) + assert acsch(x - I/2).as_leading_term(x, cdir=-1) == acsch(I/2) + I*pi + # Tests concerning re(ndir) == 0 + assert acsch(I/2 + I*x - x**2).as_leading_term(x, cdir=1) == log(2 - sqrt(3)) - I*pi/2 + assert acsch(I/2 + I*x - x**2).as_leading_term(x, cdir=-1) == log(2 - sqrt(3)) - I*pi/2 + + +def test_acsch_series(): + x = Symbol('x') + assert acsch(x).series(x, 0, 9) == log(2) - log(x) + x**2/4 - 3*x**4/32 \ + + 5*x**6/96 - 35*x**8/1024 + O(x**9) + t4 = acsch(x).taylor_term(4, x) + assert t4 == -3*x**4/32 + assert acsch(x).taylor_term(6, x, t4, 0) == 5*x**6/96 + + +def test_acsch_nseries(): + x = Symbol('x') + # Tests concerning branch points + assert acsch(x + I)._eval_nseries(x, 4, None) == -I*pi/2 + \ + sqrt(2)*I*sqrt(x)*sqrt(-I) - 5*x**(S(3)/2)*(1 - I)/12 - \ + 43*sqrt(2)*I*x**(S(5)/2)*sqrt(-I)/160 + 177*x**(S(7)/2)*(1 - I)/896 + O(x**4) + assert acsch(x - I)._eval_nseries(x, 4, None) == I*pi/2 - \ + sqrt(2)*sqrt(I)*I*sqrt(x) - 5*x**(S(3)/2)*(1 + I)/12 + \ + 43*sqrt(2)*sqrt(I)*I*x**(S(5)/2)/160 + 177*x**(S(7)/2)*(1 + I)/896 + O(x**4) + # Tests concerning points lying on branch cuts + assert acsch(x + I/2)._eval_nseries(x, 4, None, cdir=1) == -acsch(I/2) - \ + I*pi + 4*sqrt(3)*I*x/3 - 8*sqrt(3)*x**2/9 - 16*sqrt(3)*I*x**3/9 + O(x**4) + assert acsch(x + I/2)._eval_nseries(x, 4, None, cdir=-1) == acsch(I/2) - \ + 4*sqrt(3)*I*x/3 + 8*sqrt(3)*x**2/9 + 16*sqrt(3)*I*x**3/9 + O(x**4) + assert acsch(x - I/2)._eval_nseries(x, 4, None, cdir=1) == -acsch(I/2) - \ + 4*sqrt(3)*I*x/3 - 8*sqrt(3)*x**2/9 + 16*sqrt(3)*I*x**3/9 + O(x**4) + assert acsch(x - I/2)._eval_nseries(x, 4, None, cdir=-1) == I*pi + \ + acsch(I/2) + 4*sqrt(3)*I*x/3 + 8*sqrt(3)*x**2/9 - 16*sqrt(3)*I*x**3/9 + O(x**4) + # Tests concerning re(ndir) == 0 + assert acsch(I/2 + I*x - x**2)._eval_nseries(x, 4, None) == -I*pi/2 + \ + log(2 - sqrt(3)) + x*(12 - 8*sqrt(3))/(-6 + 3*sqrt(3)) + x**2*(-96 + \ + sqrt(3)*(56 - 84*I) + 144*I)/(-63 + 36*sqrt(3)) + x**3*(2688 - 2688*I + \ + sqrt(3)*(-1552 + 1552*I))/(-873 + 504*sqrt(3)) + O(x**4) + + +def test_acsch_rewrite(): + x = Symbol('x') + assert acsch(x).rewrite(log) == log(1/x + sqrt(1/x**2 + 1)) + assert acsch(x).rewrite(asinh) == asinh(1/x) + assert acsch(x).rewrite(atanh) == (sqrt(-x**2)*(-sqrt(-(x**2 + 1)**2) + *atanh(sqrt(x**2 + 1))/(x**2 + 1) + + pi/2)/x) + + +def test_acsch_fdiff(): + x = Symbol('x') + raises(ArgumentIndexError, lambda: acsch(x).fdiff(2)) + + +def test_atanh(): + x = Symbol('x') + + # at specific points + assert atanh(0) == 0 + assert atanh(I) == I*pi/4 + assert atanh(-I) == -I*pi/4 + assert atanh(1) is oo + assert atanh(-1) is -oo + assert atanh(nan) is nan + + # at infinites + assert atanh(oo) == -I*pi/2 + assert atanh(-oo) == I*pi/2 + + assert atanh(I*oo) == I*pi/2 + assert atanh(-I*oo) == -I*pi/2 + + assert atanh(zoo) == I*AccumBounds(-pi/2, pi/2) + + # properties + assert atanh(-x) == -atanh(x) + + # reality + assert atanh(S(2)).is_real is False + assert atanh(S(-1)/5).is_real is True + assert atanh(symbols('y', extended_real=True)).is_real is None + assert atanh(S(1)).is_real is False + assert atanh(S(1)).is_extended_real is True + assert atanh(S(-1)).is_real is False + + # special values + assert atanh(I/sqrt(3)) == I*pi/6 + assert atanh(-I/sqrt(3)) == -I*pi/6 + assert atanh(I*sqrt(3)) == I*pi/3 + assert atanh(-I*sqrt(3)) == -I*pi/3 + assert atanh(I*(1 + sqrt(2))) == pi*I*Rational(3, 8) + assert atanh(I*(sqrt(2) - 1)) == pi*I/8 + assert atanh(I*(1 - sqrt(2))) == -pi*I/8 + assert atanh(-I*(1 + sqrt(2))) == pi*I*Rational(-3, 8) + assert atanh(I*sqrt(5 + 2*sqrt(5))) == I*pi*Rational(2, 5) + assert atanh(-I*sqrt(5 + 2*sqrt(5))) == I*pi*Rational(-2, 5) + assert atanh(I*(2 - sqrt(3))) == pi*I/12 + assert atanh(I*(sqrt(3) - 2)) == -pi*I/12 + assert atanh(oo) == -I*pi/2 + + # Symmetry + assert atanh(Rational(-1, 2)) == -atanh(S.Half) + + # inverse composition + assert unchanged(atanh, tanh(Symbol('v1'))) + + assert atanh(tanh(-5, evaluate=False)) == -5 + assert atanh(tanh(0, evaluate=False)) == 0 + assert atanh(tanh(7, evaluate=False)) == 7 + assert atanh(tanh(I, evaluate=False)) == I + assert atanh(tanh(-I, evaluate=False)) == -I + assert atanh(tanh(-11*I, evaluate=False)) == -11*I + 4*I*pi + assert atanh(tanh(3 + I)) == 3 + I + assert atanh(tanh(4 + 5*I)) == 4 - 2*I*pi + 5*I + assert atanh(tanh(pi/2)) == pi/2 + assert atanh(tanh(pi)) == pi + assert atanh(tanh(-3 + 7*I)) == -3 - 2*I*pi + 7*I + assert atanh(tanh(9 - I*2/3)) == 9 - I*2/3 + assert atanh(tanh(-32 - 123*I)) == -32 - 123*I + 39*I*pi + + +def test_atanh_rewrite(): + x = Symbol('x') + assert atanh(x).rewrite(log) == (log(1 + x) - log(1 - x)) / 2 + assert atanh(x).rewrite(asinh) == \ + pi*x/(2*sqrt(-x**2)) - sqrt(-x)*sqrt(1 - x**2)*sqrt(1/(x**2 - 1))*asinh(sqrt(1/(x**2 - 1)))/sqrt(x) + + +def test_atanh_leading_term(): + x = Symbol('x') + assert atanh(x).as_leading_term(x) == x + # Tests concerning branch points + assert atanh(x + 1).as_leading_term(x, cdir=1) == -log(x)/2 + log(2)/2 - I*pi/2 + assert atanh(x + 1).as_leading_term(x, cdir=-1) == -log(x)/2 + log(2)/2 + I*pi/2 + assert atanh(x - 1).as_leading_term(x, cdir=1) == log(x)/2 - log(2)/2 + assert atanh(x - 1).as_leading_term(x, cdir=-1) == log(x)/2 - log(2)/2 + assert atanh(1/x).as_leading_term(x, cdir=1) == -I*pi/2 + assert atanh(1/x).as_leading_term(x, cdir=-1) == I*pi/2 + # Tests concerning points lying on branch cuts + assert atanh(I*x + 2).as_leading_term(x, cdir=1) == atanh(2) + I*pi + assert atanh(-I*x + 2).as_leading_term(x, cdir=1) == atanh(2) + assert atanh(I*x - 2).as_leading_term(x, cdir=1) == -atanh(2) + assert atanh(-I*x - 2).as_leading_term(x, cdir=1) == -I*pi - atanh(2) + # Tests concerning im(ndir) == 0 + assert atanh(-I*x**2 + x - 2).as_leading_term(x, cdir=1) == -log(3)/2 - I*pi/2 + assert atanh(-I*x**2 + x - 2).as_leading_term(x, cdir=-1) == -log(3)/2 - I*pi/2 + + +def test_atanh_series(): + x = Symbol('x') + assert atanh(x).series(x, 0, 10) == \ + x + x**3/3 + x**5/5 + x**7/7 + x**9/9 + O(x**10) + + +def test_atanh_nseries(): + x = Symbol('x') + # Tests concerning branch points + assert atanh(x + 1)._eval_nseries(x, 4, None, cdir=1) == -I*pi/2 + log(2)/2 - \ + log(x)/2 + x/4 - x**2/16 + x**3/48 + O(x**4) + assert atanh(x + 1)._eval_nseries(x, 4, None, cdir=-1) == I*pi/2 + log(2)/2 - \ + log(x)/2 + x/4 - x**2/16 + x**3/48 + O(x**4) + assert atanh(x - 1)._eval_nseries(x, 4, None, cdir=1) == -log(2)/2 + log(x)/2 + \ + x/4 + x**2/16 + x**3/48 + O(x**4) + assert atanh(x - 1)._eval_nseries(x, 4, None, cdir=-1) == -log(2)/2 + log(x)/2 + \ + x/4 + x**2/16 + x**3/48 + O(x**4) + # Tests concerning points lying on branch cuts + assert atanh(I*x + 2)._eval_nseries(x, 4, None, cdir=1) == I*pi + atanh(2) - \ + I*x/3 - 2*x**2/9 + 13*I*x**3/81 + O(x**4) + assert atanh(I*x + 2)._eval_nseries(x, 4, None, cdir=-1) == atanh(2) - I*x/3 - \ + 2*x**2/9 + 13*I*x**3/81 + O(x**4) + assert atanh(I*x - 2)._eval_nseries(x, 4, None, cdir=1) == -atanh(2) - I*x/3 + \ + 2*x**2/9 + 13*I*x**3/81 + O(x**4) + assert atanh(I*x - 2)._eval_nseries(x, 4, None, cdir=-1) == -atanh(2) - I*pi - \ + I*x/3 + 2*x**2/9 + 13*I*x**3/81 + O(x**4) + # Tests concerning im(ndir) == 0 + assert atanh(-I*x**2 + x - 2)._eval_nseries(x, 4, None) == -I*pi/2 - log(3)/2 - x/3 + \ + x**2*(-S(1)/4 + I/2) + x**2*(S(1)/36 - I/6) + x**3*(-S(1)/6 + I/2) + x**3*(S(1)/162 - I/18) + O(x**4) + + +def test_atanh_fdiff(): + x = Symbol('x') + raises(ArgumentIndexError, lambda: atanh(x).fdiff(2)) + + +def test_acoth(): + x = Symbol('x') + + #at specific points + assert acoth(0) == I*pi/2 + assert acoth(I) == -I*pi/4 + assert acoth(-I) == I*pi/4 + assert acoth(1) is oo + assert acoth(-1) is -oo + assert acoth(nan) is nan + + # at infinites + assert acoth(oo) == 0 + assert acoth(-oo) == 0 + assert acoth(I*oo) == 0 + assert acoth(-I*oo) == 0 + assert acoth(zoo) == 0 + + #properties + assert acoth(-x) == -acoth(x) + + assert acoth(I/sqrt(3)) == -I*pi/3 + assert acoth(-I/sqrt(3)) == I*pi/3 + assert acoth(I*sqrt(3)) == -I*pi/6 + assert acoth(-I*sqrt(3)) == I*pi/6 + assert acoth(I*(1 + sqrt(2))) == -pi*I/8 + assert acoth(-I*(sqrt(2) + 1)) == pi*I/8 + assert acoth(I*(1 - sqrt(2))) == pi*I*Rational(3, 8) + assert acoth(I*(sqrt(2) - 1)) == pi*I*Rational(-3, 8) + assert acoth(I*sqrt(5 + 2*sqrt(5))) == -I*pi/10 + assert acoth(-I*sqrt(5 + 2*sqrt(5))) == I*pi/10 + assert acoth(I*(2 + sqrt(3))) == -pi*I/12 + assert acoth(-I*(2 + sqrt(3))) == pi*I/12 + assert acoth(I*(2 - sqrt(3))) == pi*I*Rational(-5, 12) + assert acoth(I*(sqrt(3) - 2)) == pi*I*Rational(5, 12) + + # reality + assert acoth(S(2)).is_real is True + assert acoth(S(2)).is_finite is True + assert acoth(S(2)).is_extended_real is True + assert acoth(S(-2)).is_real is True + assert acoth(S(1)).is_real is False + assert acoth(S(1)).is_extended_real is True + assert acoth(S(-1)).is_real is False + assert acoth(symbols('y', real=True)).is_real is None + + # Symmetry + assert acoth(Rational(-1, 2)) == -acoth(S.Half) + + +def test_acoth_rewrite(): + x = Symbol('x') + assert acoth(x).rewrite(log) == (log(1 + 1/x) - log(1 - 1/x)) / 2 + assert acoth(x).rewrite(atanh) == atanh(1/x) + assert acoth(x).rewrite(asinh) == \ + x*sqrt(x**(-2))*asinh(sqrt(1/(x**2 - 1))) + I*pi*(sqrt((x - 1)/x)*sqrt(x/(x - 1)) - sqrt(x/(x + 1))*sqrt(1 + 1/x))/2 + + +def test_acoth_leading_term(): + x = Symbol('x') + # Tests concerning branch points + assert acoth(x + 1).as_leading_term(x, cdir=1) == -log(x)/2 + log(2)/2 + assert acoth(x + 1).as_leading_term(x, cdir=-1) == -log(x)/2 + log(2)/2 + assert acoth(x - 1).as_leading_term(x, cdir=1) == log(x)/2 - log(2)/2 + I*pi/2 + assert acoth(x - 1).as_leading_term(x, cdir=-1) == log(x)/2 - log(2)/2 - I*pi/2 + # Tests concerning points lying on branch cuts + assert acoth(x).as_leading_term(x, cdir=-1) == I*pi/2 + assert acoth(x).as_leading_term(x, cdir=1) == -I*pi/2 + assert acoth(I*x + 1/2).as_leading_term(x, cdir=1) == acoth(1/2) + assert acoth(-I*x + 1/2).as_leading_term(x, cdir=1) == acoth(1/2) + I*pi + assert acoth(I*x - 1/2).as_leading_term(x, cdir=1) == -I*pi - acoth(1/2) + assert acoth(-I*x - 1/2).as_leading_term(x, cdir=1) == -acoth(1/2) + # Tests concerning im(ndir) == 0 + assert acoth(-I*x**2 - x - S(1)/2).as_leading_term(x, cdir=1) == -log(3)/2 + I*pi/2 + assert acoth(-I*x**2 - x - S(1)/2).as_leading_term(x, cdir=-1) == -log(3)/2 + I*pi/2 + + +def test_acoth_series(): + x = Symbol('x') + assert acoth(x).series(x, 0, 10) == \ + -I*pi/2 + x + x**3/3 + x**5/5 + x**7/7 + x**9/9 + O(x**10) + + +def test_acoth_nseries(): + x = Symbol('x') + # Tests concerning branch points + assert acoth(x + 1)._eval_nseries(x, 4, None) == log(2)/2 - log(x)/2 + x/4 - \ + x**2/16 + x**3/48 + O(x**4) + assert acoth(x - 1)._eval_nseries(x, 4, None, cdir=1) == I*pi/2 - log(2)/2 + \ + log(x)/2 + x/4 + x**2/16 + x**3/48 + O(x**4) + assert acoth(x - 1)._eval_nseries(x, 4, None, cdir=-1) == -I*pi/2 - log(2)/2 + \ + log(x)/2 + x/4 + x**2/16 + x**3/48 + O(x**4) + # Tests concerning points lying on branch cuts + assert acoth(I*x + S(1)/2)._eval_nseries(x, 4, None, cdir=1) == acoth(S(1)/2) + \ + 4*I*x/3 - 8*x**2/9 - 112*I*x**3/81 + O(x**4) + assert acoth(I*x + S(1)/2)._eval_nseries(x, 4, None, cdir=-1) == I*pi + \ + acoth(S(1)/2) + 4*I*x/3 - 8*x**2/9 - 112*I*x**3/81 + O(x**4) + assert acoth(I*x - S(1)/2)._eval_nseries(x, 4, None, cdir=1) == -acoth(S(1)/2) - \ + I*pi + 4*I*x/3 + 8*x**2/9 - 112*I*x**3/81 + O(x**4) + assert acoth(I*x - S(1)/2)._eval_nseries(x, 4, None, cdir=-1) == -acoth(S(1)/2) + \ + 4*I*x/3 + 8*x**2/9 - 112*I*x**3/81 + O(x**4) + # Tests concerning im(ndir) == 0 + assert acoth(-I*x**2 - x - S(1)/2)._eval_nseries(x, 4, None) == I*pi/2 - log(3)/2 - \ + 4*x/3 + x**2*(-S(8)/9 + 2*I/3) - 2*I*x**2 + x**3*(S(104)/81 - 16*I/9) - 8*x**3/3 + O(x**4) + + +def test_acoth_fdiff(): + x = Symbol('x') + raises(ArgumentIndexError, lambda: acoth(x).fdiff(2)) + + +def test_inverses(): + x = Symbol('x') + assert sinh(x).inverse() == asinh + raises(AttributeError, lambda: cosh(x).inverse()) + assert tanh(x).inverse() == atanh + assert coth(x).inverse() == acoth + assert asinh(x).inverse() == sinh + assert acosh(x).inverse() == cosh + assert atanh(x).inverse() == tanh + assert acoth(x).inverse() == coth + assert asech(x).inverse() == sech + assert acsch(x).inverse() == csch + + +def test_leading_term(): + x = Symbol('x') + assert cosh(x).as_leading_term(x) == 1 + assert coth(x).as_leading_term(x) == 1/x + for func in [sinh, tanh]: + assert func(x).as_leading_term(x) == x + for func in [sinh, cosh, tanh, coth]: + for ar in (1/x, S.Half): + eq = func(ar) + assert eq.as_leading_term(x) == eq + for func in [csch, sech]: + eq = func(S.Half) + assert eq.as_leading_term(x) == eq + + +def test_complex(): + a, b = symbols('a,b', real=True) + z = a + b*I + for func in [sinh, cosh, tanh, coth, sech, csch]: + assert func(z).conjugate() == func(a - b*I) + for deep in [True, False]: + assert sinh(z).expand( + complex=True, deep=deep) == sinh(a)*cos(b) + I*cosh(a)*sin(b) + assert cosh(z).expand( + complex=True, deep=deep) == cosh(a)*cos(b) + I*sinh(a)*sin(b) + assert tanh(z).expand(complex=True, deep=deep) == sinh(a)*cosh( + a)/(cos(b)**2 + sinh(a)**2) + I*sin(b)*cos(b)/(cos(b)**2 + sinh(a)**2) + assert coth(z).expand(complex=True, deep=deep) == sinh(a)*cosh( + a)/(sin(b)**2 + sinh(a)**2) - I*sin(b)*cos(b)/(sin(b)**2 + sinh(a)**2) + assert csch(z).expand(complex=True, deep=deep) == cos(b) * sinh(a) / (sin(b)**2\ + *cosh(a)**2 + cos(b)**2 * sinh(a)**2) - I*sin(b) * cosh(a) / (sin(b)**2\ + *cosh(a)**2 + cos(b)**2 * sinh(a)**2) + assert sech(z).expand(complex=True, deep=deep) == cos(b) * cosh(a) / (sin(b)**2\ + *sinh(a)**2 + cos(b)**2 * cosh(a)**2) - I*sin(b) * sinh(a) / (sin(b)**2\ + *sinh(a)**2 + cos(b)**2 * cosh(a)**2) + + +def test_complex_2899(): + a, b = symbols('a,b', real=True) + for deep in [True, False]: + for func in [sinh, cosh, tanh, coth]: + assert func(a).expand(complex=True, deep=deep) == func(a) + + +def test_simplifications(): + x = Symbol('x') + assert sinh(asinh(x)) == x + assert sinh(acosh(x)) == sqrt(x - 1) * sqrt(x + 1) + assert sinh(atanh(x)) == x/sqrt(1 - x**2) + assert sinh(acoth(x)) == 1/(sqrt(x - 1) * sqrt(x + 1)) + + assert cosh(asinh(x)) == sqrt(1 + x**2) + assert cosh(acosh(x)) == x + assert cosh(atanh(x)) == 1/sqrt(1 - x**2) + assert cosh(acoth(x)) == x/(sqrt(x - 1) * sqrt(x + 1)) + + assert tanh(asinh(x)) == x/sqrt(1 + x**2) + assert tanh(acosh(x)) == sqrt(x - 1) * sqrt(x + 1) / x + assert tanh(atanh(x)) == x + assert tanh(acoth(x)) == 1/x + + assert coth(asinh(x)) == sqrt(1 + x**2)/x + assert coth(acosh(x)) == x/(sqrt(x - 1) * sqrt(x + 1)) + assert coth(atanh(x)) == 1/x + assert coth(acoth(x)) == x + + assert csch(asinh(x)) == 1/x + assert csch(acosh(x)) == 1/(sqrt(x - 1) * sqrt(x + 1)) + assert csch(atanh(x)) == sqrt(1 - x**2)/x + assert csch(acoth(x)) == sqrt(x - 1) * sqrt(x + 1) + + assert sech(asinh(x)) == 1/sqrt(1 + x**2) + assert sech(acosh(x)) == 1/x + assert sech(atanh(x)) == sqrt(1 - x**2) + assert sech(acoth(x)) == sqrt(x - 1) * sqrt(x + 1)/x + + +def test_issue_4136(): + assert cosh(asinh(Integer(3)/2)) == sqrt(Integer(13)/4) + + +def test_sinh_rewrite(): + x = Symbol('x') + assert sinh(x).rewrite(exp) == (exp(x) - exp(-x))/2 \ + == sinh(x).rewrite('tractable') + assert sinh(x).rewrite(cosh) == -I*cosh(x + I*pi/2) + tanh_half = tanh(S.Half*x) + assert sinh(x).rewrite(tanh) == 2*tanh_half/(1 - tanh_half**2) + coth_half = coth(S.Half*x) + assert sinh(x).rewrite(coth) == 2*coth_half/(coth_half**2 - 1) + + +def test_cosh_rewrite(): + x = Symbol('x') + assert cosh(x).rewrite(exp) == (exp(x) + exp(-x))/2 \ + == cosh(x).rewrite('tractable') + assert cosh(x).rewrite(sinh) == -I*sinh(x + I*pi/2, evaluate=False) + tanh_half = tanh(S.Half*x)**2 + assert cosh(x).rewrite(tanh) == (1 + tanh_half)/(1 - tanh_half) + coth_half = coth(S.Half*x)**2 + assert cosh(x).rewrite(coth) == (coth_half + 1)/(coth_half - 1) + + +def test_tanh_rewrite(): + x = Symbol('x') + assert tanh(x).rewrite(exp) == (exp(x) - exp(-x))/(exp(x) + exp(-x)) \ + == tanh(x).rewrite('tractable') + assert tanh(x).rewrite(sinh) == I*sinh(x)/sinh(I*pi/2 - x, evaluate=False) + assert tanh(x).rewrite(cosh) == I*cosh(I*pi/2 - x, evaluate=False)/cosh(x) + assert tanh(x).rewrite(coth) == 1/coth(x) + + +def test_coth_rewrite(): + x = Symbol('x') + assert coth(x).rewrite(exp) == (exp(x) + exp(-x))/(exp(x) - exp(-x)) \ + == coth(x).rewrite('tractable') + assert coth(x).rewrite(sinh) == -I*sinh(I*pi/2 - x, evaluate=False)/sinh(x) + assert coth(x).rewrite(cosh) == -I*cosh(x)/cosh(I*pi/2 - x, evaluate=False) + assert coth(x).rewrite(tanh) == 1/tanh(x) + + +def test_csch_rewrite(): + x = Symbol('x') + assert csch(x).rewrite(exp) == 1 / (exp(x)/2 - exp(-x)/2) \ + == csch(x).rewrite('tractable') + assert csch(x).rewrite(cosh) == I/cosh(x + I*pi/2, evaluate=False) + tanh_half = tanh(S.Half*x) + assert csch(x).rewrite(tanh) == (1 - tanh_half**2)/(2*tanh_half) + coth_half = coth(S.Half*x) + assert csch(x).rewrite(coth) == (coth_half**2 - 1)/(2*coth_half) + + +def test_sech_rewrite(): + x = Symbol('x') + assert sech(x).rewrite(exp) == 1 / (exp(x)/2 + exp(-x)/2) \ + == sech(x).rewrite('tractable') + assert sech(x).rewrite(sinh) == I/sinh(x + I*pi/2, evaluate=False) + tanh_half = tanh(S.Half*x)**2 + assert sech(x).rewrite(tanh) == (1 - tanh_half)/(1 + tanh_half) + coth_half = coth(S.Half*x)**2 + assert sech(x).rewrite(coth) == (coth_half - 1)/(coth_half + 1) + + +def test_derivs(): + x = Symbol('x') + assert coth(x).diff(x) == -sinh(x)**(-2) + assert sinh(x).diff(x) == cosh(x) + assert cosh(x).diff(x) == sinh(x) + assert tanh(x).diff(x) == -tanh(x)**2 + 1 + assert csch(x).diff(x) == -coth(x)*csch(x) + assert sech(x).diff(x) == -tanh(x)*sech(x) + assert acoth(x).diff(x) == 1/(-x**2 + 1) + assert asinh(x).diff(x) == 1/sqrt(x**2 + 1) + assert acosh(x).diff(x) == 1/(sqrt(x - 1)*sqrt(x + 1)) + assert acosh(x).diff(x) == acosh(x).rewrite(log).diff(x).together() + assert atanh(x).diff(x) == 1/(-x**2 + 1) + assert asech(x).diff(x) == -1/(x*sqrt(1 - x**2)) + assert acsch(x).diff(x) == -1/(x**2*sqrt(1 + x**(-2))) + + +def test_sinh_expansion(): + x, y = symbols('x,y') + assert sinh(x+y).expand(trig=True) == sinh(x)*cosh(y) + cosh(x)*sinh(y) + assert sinh(2*x).expand(trig=True) == 2*sinh(x)*cosh(x) + assert sinh(3*x).expand(trig=True).expand() == \ + sinh(x)**3 + 3*sinh(x)*cosh(x)**2 + + +def test_cosh_expansion(): + x, y = symbols('x,y') + assert cosh(x+y).expand(trig=True) == cosh(x)*cosh(y) + sinh(x)*sinh(y) + assert cosh(2*x).expand(trig=True) == cosh(x)**2 + sinh(x)**2 + assert cosh(3*x).expand(trig=True).expand() == \ + 3*sinh(x)**2*cosh(x) + cosh(x)**3 + +def test_cosh_positive(): + # See issue 11721 + # cosh(x) is positive for real values of x + k = symbols('k', real=True) + n = symbols('n', integer=True) + + assert cosh(k, evaluate=False).is_positive is True + assert cosh(k + 2*n*pi*I, evaluate=False).is_positive is True + assert cosh(I*pi/4, evaluate=False).is_positive is True + assert cosh(3*I*pi/4, evaluate=False).is_positive is False + +def test_cosh_nonnegative(): + k = symbols('k', real=True) + n = symbols('n', integer=True) + + assert cosh(k, evaluate=False).is_nonnegative is True + assert cosh(k + 2*n*pi*I, evaluate=False).is_nonnegative is True + assert cosh(I*pi/4, evaluate=False).is_nonnegative is True + assert cosh(3*I*pi/4, evaluate=False).is_nonnegative is False + assert cosh(S.Zero, evaluate=False).is_nonnegative is True + +def test_real_assumptions(): + z = Symbol('z', real=False) + assert sinh(z).is_real is None + assert cosh(z).is_real is None + assert tanh(z).is_real is None + assert sech(z).is_real is None + assert csch(z).is_real is None + assert coth(z).is_real is None + +def test_sign_assumptions(): + p = Symbol('p', positive=True) + n = Symbol('n', negative=True) + assert sinh(n).is_negative is True + assert sinh(p).is_positive is True + assert cosh(n).is_positive is True + assert cosh(p).is_positive is True + assert tanh(n).is_negative is True + assert tanh(p).is_positive is True + assert csch(n).is_negative is True + assert csch(p).is_positive is True + assert sech(n).is_positive is True + assert sech(p).is_positive is True + assert coth(n).is_negative is True + assert coth(p).is_positive is True + + +def test_issue_25847(): + x = Symbol('x') + + #atanh + assert atanh(sin(x)/x).as_leading_term(x) == atanh(sin(x)/x) + raises(PoleError, lambda: atanh(exp(1/x)).as_leading_term(x)) + + #asinh + assert asinh(sin(x)/x).as_leading_term(x) == log(1 + sqrt(2)) + raises(PoleError, lambda: asinh(exp(1/x)).as_leading_term(x)) + + #acosh + assert acosh(sin(x)/x).as_leading_term(x) == 0 + raises(PoleError, lambda: acosh(exp(1/x)).as_leading_term(x)) + + #acoth + assert acoth(sin(x)/x).as_leading_term(x) == acoth(sin(x)/x) + raises(PoleError, lambda: acoth(exp(1/x)).as_leading_term(x)) + + #asech + assert asech(sinh(x)/x).as_leading_term(x) == 0 + raises(PoleError, lambda: asech(exp(1/x)).as_leading_term(x)) + + #acsch + assert acsch(sin(x)/x).as_leading_term(x) == log(1 + sqrt(2)) + raises(PoleError, lambda: acsch(exp(1/x)).as_leading_term(x)) + + +def test_issue_25175(): + x = Symbol('x') + g1 = 2*acosh(1 + 2*x/3) - acosh(S(5)/3 - S(8)/3/(x + 4)) + g2 = 2*log(sqrt((x + 4)/3)*(sqrt(x + 3)+sqrt(x))**2/(2*sqrt(x + 3) + sqrt(x))) + assert (g1 - g2).series(x) == O(x**6) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/tests/test_integers.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/tests/test_integers.py new file mode 100644 index 0000000000000000000000000000000000000000..a48ad2ac24c4a857d57b2f24e3308ac90078a9b1 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/tests/test_integers.py @@ -0,0 +1,688 @@ +from sympy.calculus.accumulationbounds import AccumBounds +from sympy.core.numbers import (E, Float, I, Rational, Integer, nan, oo, pi, zoo) +from sympy.core.relational import (Eq, Ge, Gt, Le, Lt, Ne) +from sympy.core.singleton import S +from sympy.core.symbol import (Symbol, symbols) +from sympy.functions.combinatorial.factorials import factorial +from sympy.functions.elementary.exponential import (exp, log) +from sympy.functions.elementary.integers import (ceiling, floor, frac) +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.trigonometric import sin, cos, tan, asin +from sympy.polys.rootoftools import RootOf, CRootOf +from sympy import Integers +from sympy.sets.sets import Interval +from sympy.sets.fancysets import ImageSet +from sympy.core.function import Lambda + +from sympy.core.expr import unchanged +from sympy.testing.pytest import XFAIL, raises + +x = Symbol('x') +i = Symbol('i', imaginary=True) +y = Symbol('y', real=True) +k, n = symbols('k,n', integer=True) +b = Symbol('b', real=True, noninteger=True) +m = Symbol('m', positive=True) + + +def test_floor(): + + assert floor(nan) is nan + + assert floor(oo) is oo + assert floor(-oo) is -oo + assert floor(zoo) is zoo + + assert floor(0) == 0 + + assert floor(1) == 1 + assert floor(-1) == -1 + + assert floor(I*log(asin(5)/abs(asin(5)))) == 0 + assert floor(-I*log(asin(7)/abs(asin(7)))) == -2 + + assert floor(E) == 2 + assert floor(-E) == -3 + + assert floor(2*E) == 5 + assert floor(-2*E) == -6 + + assert floor(pi) == 3 + assert floor(-pi) == -4 + + assert floor(S.Half) == 0 + assert floor(Rational(-1, 2)) == -1 + + assert floor(Rational(7, 3)) == 2 + assert floor(Rational(-7, 3)) == -3 + assert floor(-Rational(7, 3)) == -3 + + assert floor(Float(17.0)) == 17 + assert floor(-Float(17.0)) == -17 + + assert floor(Float(7.69)) == 7 + assert floor(-Float(7.69)) == -8 + + assert floor(1/(m+1)) == S.Zero + assert floor((m+2)/(m+1)) == S.One + assert floor(-1/(m+1)) == S.NegativeOne + assert floor((m+2)/(-m-1)) == Integer(-2) + + assert floor(I) == I + assert floor(-I) == -I + e = floor(i) + assert e.func is floor and e.args[0] == i + + assert floor(oo*I) == oo*I + assert floor(-oo*I) == -oo*I + assert floor(exp(I*pi/4)*oo) == exp(I*pi/4)*oo + + assert floor(2*I) == 2*I + assert floor(-2*I) == -2*I + + assert floor(I/2) == 0 + assert floor(-I/2) == -I + + assert floor(E + 17) == 19 + assert floor(pi + 2) == 5 + + assert floor(E + pi) == 5 + assert floor(I + pi) == 3 + I + + assert floor(floor(pi)) == 3 + assert floor(floor(y)) == floor(y) + assert floor(floor(x)) == floor(x) + + assert unchanged(floor, x) + assert unchanged(floor, 2*x) + assert unchanged(floor, k*x) + + assert floor(k) == k + assert floor(2*k) == 2*k + assert floor(k*n) == k*n + + assert unchanged(floor, k/2) + + assert unchanged(floor, x + y) + + assert floor(x + 3) == floor(x) + 3 + assert floor(x + k) == floor(x) + k + + assert floor(y + 3) == floor(y) + 3 + assert floor(y + k) == floor(y) + k + + assert floor(3 + I*y + pi) == 6 + floor(y)*I + + assert floor(k + n) == k + n + + assert unchanged(floor, x*I) + assert floor(k*I) == k*I + + assert floor(Rational(23, 10) - E*I) == 2 - 3*I + + assert floor(sin(1)) == 0 + assert floor(sin(-1)) == -1 + + assert floor(exp(2)) == 7 + + assert floor(log(8)/log(2)) != 2 + assert int(floor(log(8)/log(2)).evalf(chop=True)) == 3 + + assert floor(factorial(50)/exp(1)) == \ + 11188719610782480504630258070757734324011354208865721592720336800 + + assert (floor(y) < y).is_Relational + assert (floor(y) <= y) == True + assert (floor(y) > y) == False + assert (floor(y) >= y).is_Relational + assert (floor(x) <= x).is_Relational # x could be non-real + assert (floor(x) > x).is_Relational + assert (floor(x) <= y).is_Relational # arg is not same as rhs + assert (floor(x) > y).is_Relational + assert (floor(y) <= oo) == True + assert (floor(y) < oo) == True + assert (floor(y) >= -oo) == True + assert (floor(y) > -oo) == True + assert (floor(b) < b) == True + assert (floor(b) <= b) == True + assert (floor(b) > b) == False + assert (floor(b) >= b) == False + + assert floor(y).rewrite(frac) == y - frac(y) + assert floor(y).rewrite(ceiling) == -ceiling(-y) + assert floor(y).rewrite(frac).subs(y, -pi) == floor(-pi) + assert floor(y).rewrite(frac).subs(y, E) == floor(E) + assert floor(y).rewrite(ceiling).subs(y, E) == -ceiling(-E) + assert floor(y).rewrite(ceiling).subs(y, -pi) == -ceiling(pi) + + assert Eq(floor(y), y - frac(y)) + assert Eq(floor(y), -ceiling(-y)) + + neg = Symbol('neg', negative=True) + nn = Symbol('nn', nonnegative=True) + pos = Symbol('pos', positive=True) + np = Symbol('np', nonpositive=True) + + assert (floor(neg) < 0) == True + assert (floor(neg) <= 0) == True + assert (floor(neg) > 0) == False + assert (floor(neg) >= 0) == False + assert (floor(neg) <= -1) == True + assert (floor(neg) >= -3) == (neg >= -3) + assert (floor(neg) < 5) == (neg < 5) + + assert (floor(nn) < 0) == False + assert (floor(nn) >= 0) == True + + assert (floor(pos) < 0) == False + assert (floor(pos) <= 0) == (pos < 1) + assert (floor(pos) > 0) == (pos >= 1) + assert (floor(pos) >= 0) == True + assert (floor(pos) >= 3) == (pos >= 3) + + assert (floor(np) <= 0) == True + assert (floor(np) > 0) == False + + assert floor(neg).is_negative == True + assert floor(neg).is_nonnegative == False + assert floor(nn).is_negative == False + assert floor(nn).is_nonnegative == True + assert floor(pos).is_negative == False + assert floor(pos).is_nonnegative == True + assert floor(np).is_negative is None + assert floor(np).is_nonnegative is None + + assert (floor(7, evaluate=False) >= 7) == True + assert (floor(7, evaluate=False) > 7) == False + assert (floor(7, evaluate=False) <= 7) == True + assert (floor(7, evaluate=False) < 7) == False + + assert (floor(7, evaluate=False) >= 6) == True + assert (floor(7, evaluate=False) > 6) == True + assert (floor(7, evaluate=False) <= 6) == False + assert (floor(7, evaluate=False) < 6) == False + + assert (floor(7, evaluate=False) >= 8) == False + assert (floor(7, evaluate=False) > 8) == False + assert (floor(7, evaluate=False) <= 8) == True + assert (floor(7, evaluate=False) < 8) == True + + assert (floor(x) <= 5.5) == Le(floor(x), 5.5, evaluate=False) + assert (floor(x) >= -3.2) == Ge(floor(x), -3.2, evaluate=False) + assert (floor(x) < 2.9) == Lt(floor(x), 2.9, evaluate=False) + assert (floor(x) > -1.7) == Gt(floor(x), -1.7, evaluate=False) + + assert (floor(y) <= 5.5) == (y < 6) + assert (floor(y) >= -3.2) == (y >= -3) + assert (floor(y) < 2.9) == (y < 3) + assert (floor(y) > -1.7) == (y >= -1) + + assert (floor(y) <= n) == (y < n + 1) + assert (floor(y) >= n) == (y >= n) + assert (floor(y) < n) == (y < n) + assert (floor(y) > n) == (y >= n + 1) + + assert floor(RootOf(x**3 - 27*x, 2)) == 5 + + +def test_ceiling(): + + assert ceiling(nan) is nan + + assert ceiling(oo) is oo + assert ceiling(-oo) is -oo + assert ceiling(zoo) is zoo + + assert ceiling(0) == 0 + + assert ceiling(1) == 1 + assert ceiling(-1) == -1 + + assert ceiling(I*log(asin(5)/abs(asin(5)))) == 1 + assert ceiling(-I*log(asin(7)/abs(asin(7)))) == -1 + + assert ceiling(E) == 3 + assert ceiling(-E) == -2 + + assert ceiling(2*E) == 6 + assert ceiling(-2*E) == -5 + + assert ceiling(pi) == 4 + assert ceiling(-pi) == -3 + + assert ceiling(S.Half) == 1 + assert ceiling(Rational(-1, 2)) == 0 + + assert ceiling(Rational(7, 3)) == 3 + assert ceiling(-Rational(7, 3)) == -2 + + assert ceiling(Float(17.0)) == 17 + assert ceiling(-Float(17.0)) == -17 + + assert ceiling(Float(7.69)) == 8 + assert ceiling(-Float(7.69)) == -7 + + assert ceiling(1/(m+1)) == S.One + assert ceiling((m+2)/(m+1)) == Integer(2) + assert ceiling(-1/(m+1)) == S.Zero + assert ceiling((m+2)/(-m-1)) == S.NegativeOne + + assert ceiling(I) == I + assert ceiling(-I) == -I + e = ceiling(i) + assert e.func is ceiling and e.args[0] == i + + assert ceiling(oo*I) == oo*I + assert ceiling(-oo*I) == -oo*I + assert ceiling(exp(I*pi/4)*oo) == exp(I*pi/4)*oo + + assert ceiling(2*I) == 2*I + assert ceiling(-2*I) == -2*I + + assert ceiling(I/2) == I + assert ceiling(-I/2) == 0 + + assert ceiling(E + 17) == 20 + assert ceiling(pi + 2) == 6 + + assert ceiling(E + pi) == 6 + assert ceiling(I + pi) == I + 4 + + assert ceiling(ceiling(pi)) == 4 + assert ceiling(ceiling(y)) == ceiling(y) + assert ceiling(ceiling(x)) == ceiling(x) + + assert unchanged(ceiling, x) + assert unchanged(ceiling, 2*x) + assert unchanged(ceiling, k*x) + + assert ceiling(k) == k + assert ceiling(2*k) == 2*k + assert ceiling(k*n) == k*n + + assert unchanged(ceiling, k/2) + + assert unchanged(ceiling, x + y) + + assert ceiling(x + 3) == ceiling(x) + 3 + assert ceiling(x + 3.0) == ceiling(x) + 3 + assert ceiling(x + 3.0*I) == ceiling(x) + 3*I + assert ceiling(x + k) == ceiling(x) + k + + assert ceiling(y + 3) == ceiling(y) + 3 + assert ceiling(y + k) == ceiling(y) + k + + assert ceiling(3 + pi + y*I) == 7 + ceiling(y)*I + + assert ceiling(k + n) == k + n + + assert unchanged(ceiling, x*I) + assert ceiling(k*I) == k*I + + assert ceiling(Rational(23, 10) - E*I) == 3 - 2*I + + assert ceiling(sin(1)) == 1 + assert ceiling(sin(-1)) == 0 + + assert ceiling(exp(2)) == 8 + + assert ceiling(-log(8)/log(2)) != -2 + assert int(ceiling(-log(8)/log(2)).evalf(chop=True)) == -3 + + assert ceiling(factorial(50)/exp(1)) == \ + 11188719610782480504630258070757734324011354208865721592720336801 + + assert (ceiling(y) >= y) == True + assert (ceiling(y) > y).is_Relational + assert (ceiling(y) < y) == False + assert (ceiling(y) <= y).is_Relational + assert (ceiling(x) >= x).is_Relational # x could be non-real + assert (ceiling(x) < x).is_Relational + assert (ceiling(x) >= y).is_Relational # arg is not same as rhs + assert (ceiling(x) < y).is_Relational + assert (ceiling(y) >= -oo) == True + assert (ceiling(y) > -oo) == True + assert (ceiling(y) <= oo) == True + assert (ceiling(y) < oo) == True + assert (ceiling(b) < b) == False + assert (ceiling(b) <= b) == False + assert (ceiling(b) > b) == True + assert (ceiling(b) >= b) == True + + assert ceiling(y).rewrite(floor) == -floor(-y) + assert ceiling(y).rewrite(frac) == y + frac(-y) + assert ceiling(y).rewrite(floor).subs(y, -pi) == -floor(pi) + assert ceiling(y).rewrite(floor).subs(y, E) == -floor(-E) + assert ceiling(y).rewrite(frac).subs(y, pi) == ceiling(pi) + assert ceiling(y).rewrite(frac).subs(y, -E) == ceiling(-E) + + assert Eq(ceiling(y), y + frac(-y)) + assert Eq(ceiling(y), -floor(-y)) + + neg = Symbol('neg', negative=True) + nn = Symbol('nn', nonnegative=True) + pos = Symbol('pos', positive=True) + np = Symbol('np', nonpositive=True) + + assert (ceiling(neg) <= 0) == True + assert (ceiling(neg) < 0) == (neg <= -1) + assert (ceiling(neg) > 0) == False + assert (ceiling(neg) >= 0) == (neg > -1) + assert (ceiling(neg) > -3) == (neg > -3) + assert (ceiling(neg) <= 10) == (neg <= 10) + + assert (ceiling(nn) < 0) == False + assert (ceiling(nn) >= 0) == True + + assert (ceiling(pos) < 0) == False + assert (ceiling(pos) <= 0) == False + assert (ceiling(pos) > 0) == True + assert (ceiling(pos) >= 0) == True + assert (ceiling(pos) >= 1) == True + assert (ceiling(pos) > 5) == (pos > 5) + + assert (ceiling(np) <= 0) == True + assert (ceiling(np) > 0) == False + + assert ceiling(neg).is_positive == False + assert ceiling(neg).is_nonpositive == True + assert ceiling(nn).is_positive is None + assert ceiling(nn).is_nonpositive is None + assert ceiling(pos).is_positive == True + assert ceiling(pos).is_nonpositive == False + assert ceiling(np).is_positive == False + assert ceiling(np).is_nonpositive == True + + assert (ceiling(7, evaluate=False) >= 7) == True + assert (ceiling(7, evaluate=False) > 7) == False + assert (ceiling(7, evaluate=False) <= 7) == True + assert (ceiling(7, evaluate=False) < 7) == False + + assert (ceiling(7, evaluate=False) >= 6) == True + assert (ceiling(7, evaluate=False) > 6) == True + assert (ceiling(7, evaluate=False) <= 6) == False + assert (ceiling(7, evaluate=False) < 6) == False + + assert (ceiling(7, evaluate=False) >= 8) == False + assert (ceiling(7, evaluate=False) > 8) == False + assert (ceiling(7, evaluate=False) <= 8) == True + assert (ceiling(7, evaluate=False) < 8) == True + + assert (ceiling(x) <= 5.5) == Le(ceiling(x), 5.5, evaluate=False) + assert (ceiling(x) >= -3.2) == Ge(ceiling(x), -3.2, evaluate=False) + assert (ceiling(x) < 2.9) == Lt(ceiling(x), 2.9, evaluate=False) + assert (ceiling(x) > -1.7) == Gt(ceiling(x), -1.7, evaluate=False) + + assert (ceiling(y) <= 5.5) == (y <= 5) + assert (ceiling(y) >= -3.2) == (y > -4) + assert (ceiling(y) < 2.9) == (y <= 2) + assert (ceiling(y) > -1.7) == (y > -2) + + assert (ceiling(y) <= n) == (y <= n) + assert (ceiling(y) >= n) == (y > n - 1) + assert (ceiling(y) < n) == (y <= n - 1) + assert (ceiling(y) > n) == (y > n) + + assert ceiling(RootOf(x**3 - 27*x, 2)) == 6 + s = ImageSet(Lambda(n, n + (CRootOf(x**5 - x**2 + 1, 0))), Integers) + f = CRootOf(x**5 - x**2 + 1, 0) + s = ImageSet(Lambda(n, n + f), Integers) + assert s.intersect(Interval(-10, 10)) == {i + f for i in range(-9, 11)} + + +def test_frac(): + assert isinstance(frac(x), frac) + assert frac(oo) == AccumBounds(0, 1) + assert frac(-oo) == AccumBounds(0, 1) + assert frac(zoo) is nan + + assert frac(n) == 0 + assert frac(nan) is nan + assert frac(Rational(4, 3)) == Rational(1, 3) + assert frac(-Rational(4, 3)) == Rational(2, 3) + assert frac(Rational(-4, 3)) == Rational(2, 3) + + r = Symbol('r', real=True) + assert frac(I*r) == I*frac(r) + assert frac(1 + I*r) == I*frac(r) + assert frac(0.5 + I*r) == 0.5 + I*frac(r) + assert frac(n + I*r) == I*frac(r) + assert frac(n + I*k) == 0 + assert unchanged(frac, x + I*x) + assert frac(x + I*n) == frac(x) + + assert frac(x).rewrite(floor) == x - floor(x) + assert frac(x).rewrite(ceiling) == x + ceiling(-x) + assert frac(y).rewrite(floor).subs(y, pi) == frac(pi) + assert frac(y).rewrite(floor).subs(y, -E) == frac(-E) + assert frac(y).rewrite(ceiling).subs(y, -pi) == frac(-pi) + assert frac(y).rewrite(ceiling).subs(y, E) == frac(E) + + assert Eq(frac(y), y - floor(y)) + assert Eq(frac(y), y + ceiling(-y)) + + r = Symbol('r', real=True) + p_i = Symbol('p_i', integer=True, positive=True) + n_i = Symbol('p_i', integer=True, negative=True) + np_i = Symbol('np_i', integer=True, nonpositive=True) + nn_i = Symbol('nn_i', integer=True, nonnegative=True) + p_r = Symbol('p_r', positive=True) + n_r = Symbol('n_r', negative=True) + np_r = Symbol('np_r', real=True, nonpositive=True) + nn_r = Symbol('nn_r', real=True, nonnegative=True) + + # Real frac argument, integer rhs + assert frac(r) <= p_i + assert not frac(r) <= n_i + assert (frac(r) <= np_i).has(Le) + assert (frac(r) <= nn_i).has(Le) + assert frac(r) < p_i + assert not frac(r) < n_i + assert not frac(r) < np_i + assert (frac(r) < nn_i).has(Lt) + assert not frac(r) >= p_i + assert frac(r) >= n_i + assert frac(r) >= np_i + assert (frac(r) >= nn_i).has(Ge) + assert not frac(r) > p_i + assert frac(r) > n_i + assert (frac(r) > np_i).has(Gt) + assert (frac(r) > nn_i).has(Gt) + + assert not Eq(frac(r), p_i) + assert not Eq(frac(r), n_i) + assert Eq(frac(r), np_i).has(Eq) + assert Eq(frac(r), nn_i).has(Eq) + + assert Ne(frac(r), p_i) + assert Ne(frac(r), n_i) + assert Ne(frac(r), np_i).has(Ne) + assert Ne(frac(r), nn_i).has(Ne) + + + # Real frac argument, real rhs + assert (frac(r) <= p_r).has(Le) + assert not frac(r) <= n_r + assert (frac(r) <= np_r).has(Le) + assert (frac(r) <= nn_r).has(Le) + assert (frac(r) < p_r).has(Lt) + assert not frac(r) < n_r + assert not frac(r) < np_r + assert (frac(r) < nn_r).has(Lt) + assert (frac(r) >= p_r).has(Ge) + assert frac(r) >= n_r + assert frac(r) >= np_r + assert (frac(r) >= nn_r).has(Ge) + assert (frac(r) > p_r).has(Gt) + assert frac(r) > n_r + assert (frac(r) > np_r).has(Gt) + assert (frac(r) > nn_r).has(Gt) + + assert not Eq(frac(r), n_r) + assert Eq(frac(r), p_r).has(Eq) + assert Eq(frac(r), np_r).has(Eq) + assert Eq(frac(r), nn_r).has(Eq) + + assert Ne(frac(r), p_r).has(Ne) + assert Ne(frac(r), n_r) + assert Ne(frac(r), np_r).has(Ne) + assert Ne(frac(r), nn_r).has(Ne) + + # Real frac argument, +/- oo rhs + assert frac(r) < oo + assert frac(r) <= oo + assert not frac(r) > oo + assert not frac(r) >= oo + + assert not frac(r) < -oo + assert not frac(r) <= -oo + assert frac(r) > -oo + assert frac(r) >= -oo + + assert frac(r) < 1 + assert frac(r) <= 1 + assert not frac(r) > 1 + assert not frac(r) >= 1 + + assert not frac(r) < 0 + assert (frac(r) <= 0).has(Le) + assert (frac(r) > 0).has(Gt) + assert frac(r) >= 0 + + # Some test for numbers + assert frac(r) <= sqrt(2) + assert (frac(r) <= sqrt(3) - sqrt(2)).has(Le) + assert not frac(r) <= sqrt(2) - sqrt(3) + assert not frac(r) >= sqrt(2) + assert (frac(r) >= sqrt(3) - sqrt(2)).has(Ge) + assert frac(r) >= sqrt(2) - sqrt(3) + + assert not Eq(frac(r), sqrt(2)) + assert Eq(frac(r), sqrt(3) - sqrt(2)).has(Eq) + assert not Eq(frac(r), sqrt(2) - sqrt(3)) + assert Ne(frac(r), sqrt(2)) + assert Ne(frac(r), sqrt(3) - sqrt(2)).has(Ne) + assert Ne(frac(r), sqrt(2) - sqrt(3)) + + assert frac(p_i, evaluate=False).is_zero + assert frac(p_i, evaluate=False).is_finite + assert frac(p_i, evaluate=False).is_integer + assert frac(p_i, evaluate=False).is_real + assert frac(r).is_finite + assert frac(r).is_real + assert frac(r).is_zero is None + assert frac(r).is_integer is None + + assert frac(oo).is_finite + assert frac(oo).is_real + + +def test_series(): + x, y = symbols('x,y') + assert floor(x).nseries(x, y, 100) == floor(y) + assert ceiling(x).nseries(x, y, 100) == ceiling(y) + assert floor(x).nseries(x, pi, 100) == 3 + assert ceiling(x).nseries(x, pi, 100) == 4 + assert floor(x).nseries(x, 0, 100) == 0 + assert ceiling(x).nseries(x, 0, 100) == 1 + assert floor(-x).nseries(x, 0, 100) == -1 + assert ceiling(-x).nseries(x, 0, 100) == 0 + + +def test_issue_14355(): + # This test checks the leading term and series for the floor and ceil + # function when arg0 evaluates to S.NaN. + assert floor((x**3 + x)/(x**2 - x)).as_leading_term(x, cdir = 1) == -2 + assert floor((x**3 + x)/(x**2 - x)).as_leading_term(x, cdir = -1) == -1 + assert floor((cos(x) - 1)/x).as_leading_term(x, cdir = 1) == -1 + assert floor((cos(x) - 1)/x).as_leading_term(x, cdir = -1) == 0 + assert floor(sin(x)/x).as_leading_term(x, cdir = 1) == 0 + assert floor(sin(x)/x).as_leading_term(x, cdir = -1) == 0 + assert floor(-tan(x)/x).as_leading_term(x, cdir = 1) == -2 + assert floor(-tan(x)/x).as_leading_term(x, cdir = -1) == -2 + assert floor(sin(x)/x/3).as_leading_term(x, cdir = 1) == 0 + assert floor(sin(x)/x/3).as_leading_term(x, cdir = -1) == 0 + assert ceiling((x**3 + x)/(x**2 - x)).as_leading_term(x, cdir = 1) == -1 + assert ceiling((x**3 + x)/(x**2 - x)).as_leading_term(x, cdir = -1) == 0 + assert ceiling((cos(x) - 1)/x).as_leading_term(x, cdir = 1) == 0 + assert ceiling((cos(x) - 1)/x).as_leading_term(x, cdir = -1) == 1 + assert ceiling(sin(x)/x).as_leading_term(x, cdir = 1) == 1 + assert ceiling(sin(x)/x).as_leading_term(x, cdir = -1) == 1 + assert ceiling(-tan(x)/x).as_leading_term(x, cdir = 1) == -1 + assert ceiling(-tan(x)/x).as_leading_term(x, cdir = 1) == -1 + assert ceiling(sin(x)/x/3).as_leading_term(x, cdir = 1) == 1 + assert ceiling(sin(x)/x/3).as_leading_term(x, cdir = -1) == 1 + # test for series + assert floor(sin(x)/x).series(x, 0, 100, cdir = 1) == 0 + assert floor(sin(x)/x).series(x, 0, 100, cdir = 1) == 0 + assert floor((x**3 + x)/(x**2 - x)).series(x, 0, 100, cdir = 1) == -2 + assert floor((x**3 + x)/(x**2 - x)).series(x, 0, 100, cdir = -1) == -1 + assert ceiling(sin(x)/x).series(x, 0, 100, cdir = 1) == 1 + assert ceiling(sin(x)/x).series(x, 0, 100, cdir = -1) == 1 + assert ceiling((x**3 + x)/(x**2 - x)).series(x, 0, 100, cdir = 1) == -1 + assert ceiling((x**3 + x)/(x**2 - x)).series(x, 0, 100, cdir = -1) == 0 + + +def test_frac_leading_term(): + assert frac(x).as_leading_term(x) == x + assert frac(x).as_leading_term(x, cdir = 1) == x + assert frac(x).as_leading_term(x, cdir = -1) == 1 + assert frac(x + S.Half).as_leading_term(x, cdir = 1) == S.Half + assert frac(x + S.Half).as_leading_term(x, cdir = -1) == S.Half + assert frac(-2*x + 1).as_leading_term(x, cdir = 1) == S.One + assert frac(-2*x + 1).as_leading_term(x, cdir = -1) == -2*x + assert frac(sin(x) + 5).as_leading_term(x, cdir = 1) == x + assert frac(sin(x) + 5).as_leading_term(x, cdir = -1) == S.One + assert frac(sin(x**2) + 5).as_leading_term(x, cdir = 1) == x**2 + assert frac(sin(x**2) + 5).as_leading_term(x, cdir = -1) == x**2 + + +@XFAIL +def test_issue_4149(): + assert floor(3 + pi*I + y*I) == 3 + floor(pi + y)*I + assert floor(3*I + pi*I + y*I) == floor(3 + pi + y)*I + assert floor(3 + E + pi*I + y*I) == 5 + floor(pi + y)*I + + +def test_issue_21651(): + k = Symbol('k', positive=True, integer=True) + exp = 2*2**(-k) + assert isinstance(floor(exp), floor) + + +def test_issue_11207(): + assert floor(floor(x)) == floor(x) + assert floor(ceiling(x)) == ceiling(x) + assert ceiling(floor(x)) == floor(x) + assert ceiling(ceiling(x)) == ceiling(x) + + +def test_nested_floor_ceiling(): + assert floor(-floor(ceiling(x**3)/y)) == -floor(ceiling(x**3)/y) + assert ceiling(-floor(ceiling(x**3)/y)) == -floor(ceiling(x**3)/y) + assert floor(ceiling(-floor(x**Rational(7, 2)/y))) == -floor(x**Rational(7, 2)/y) + assert -ceiling(-ceiling(floor(x)/y)) == ceiling(floor(x)/y) + +def test_issue_18689(): + assert floor(floor(floor(x)) + 3) == floor(x) + 3 + assert ceiling(ceiling(ceiling(x)) + 1) == ceiling(x) + 1 + assert ceiling(ceiling(floor(x)) + 3) == floor(x) + 3 + +def test_issue_18421(): + assert floor(float(0)) is S.Zero + assert ceiling(float(0)) is S.Zero + +def test_issue_25230(): + a = Symbol('a', real = True) + b = Symbol('b', positive = True) + c = Symbol('c', negative = True) + raises(NotImplementedError, lambda: floor(x/a).as_leading_term(x, cdir = 1)) + raises(NotImplementedError, lambda: ceiling(x/a).as_leading_term(x, cdir = 1)) + assert floor(x/b).as_leading_term(x, cdir = 1) == 0 + assert floor(x/b).as_leading_term(x, cdir = -1) == -1 + assert floor(x/c).as_leading_term(x, cdir = 1) == -1 + assert floor(x/c).as_leading_term(x, cdir = -1) == 0 + assert ceiling(x/b).as_leading_term(x, cdir = 1) == 1 + assert ceiling(x/b).as_leading_term(x, cdir = -1) == 0 + assert ceiling(x/c).as_leading_term(x, cdir = 1) == 0 + assert ceiling(x/c).as_leading_term(x, cdir = -1) == 1 diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/tests/test_interface.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/tests/test_interface.py new file mode 100644 index 0000000000000000000000000000000000000000..6ae2f78b50bea24c64079066076971e315660d69 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/tests/test_interface.py @@ -0,0 +1,82 @@ +# This test file tests the SymPy function interface, that people use to create +# their own new functions. It should be as easy as possible. +# +# We test that it works with both Function and DefinedFunction. New code should +# use DefinedFunction because it has better type inference. Old code still +# using Function should continue to work though. +from sympy.core.function import Function, DefinedFunction +from sympy.core.sympify import sympify +from sympy.functions.elementary.hyperbolic import tanh +from sympy.functions.elementary.trigonometric import (cos, sin) +from sympy.series.limits import limit +from sympy.abc import x + + +def test_function_series1(): + """Create our new "sin" function.""" + + for F in [Function, DefinedFunction]: + + class my_function(F): + + def fdiff(self, argindex=1): + return cos(self.args[0]) + + @classmethod + def eval(cls, arg): + arg = sympify(arg) + if arg == 0: + return sympify(0) + + #Test that the taylor series is correct + assert my_function(x).series(x, 0, 10) == sin(x).series(x, 0, 10) + assert limit(my_function(x)/x, x, 0) == 1 + + +def test_function_series2(): + """Create our new "cos" function.""" + + for F in [Function, DefinedFunction]: + + class my_function2(F): + + def fdiff(self, argindex=1): + return -sin(self.args[0]) + + @classmethod + def eval(cls, arg): + arg = sympify(arg) + if arg == 0: + return sympify(1) + + #Test that the taylor series is correct + assert my_function2(x).series(x, 0, 10) == cos(x).series(x, 0, 10) + + +def test_function_series3(): + """ + Test our easy "tanh" function. + + This test tests two things: + * that the Function interface works as expected and it's easy to use + * that the general algorithm for the series expansion works even when the + derivative is defined recursively in terms of the original function, + since tanh(x).diff(x) == 1-tanh(x)**2 + """ + + for F in [Function, DefinedFunction]: + + class mytanh(F): + + def fdiff(self, argindex=1): + return 1 - mytanh(self.args[0])**2 + + @classmethod + def eval(cls, arg): + arg = sympify(arg) + if arg == 0: + return sympify(0) + + e = tanh(x) + f = mytanh(x) + assert e.series(x, 0, 6) == f.series(x, 0, 6) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/tests/test_miscellaneous.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/tests/test_miscellaneous.py new file mode 100644 index 0000000000000000000000000000000000000000..374c4fb50eaae54a9884015c124c245385e1761e --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/tests/test_miscellaneous.py @@ -0,0 +1,504 @@ +import itertools as it + +from sympy.core.expr import unchanged +from sympy.core.function import Function +from sympy.core.numbers import I, oo, Rational +from sympy.core.power import Pow +from sympy.core.singleton import S +from sympy.core.symbol import Symbol +from sympy.external import import_module +from sympy.functions.elementary.exponential import log +from sympy.functions.elementary.integers import floor, ceiling +from sympy.functions.elementary.miscellaneous import (sqrt, cbrt, root, Min, + Max, real_root, Rem) +from sympy.functions.elementary.trigonometric import cos, sin +from sympy.functions.special.delta_functions import Heaviside + +from sympy.utilities.lambdify import lambdify +from sympy.testing.pytest import raises, skip, ignore_warnings + +def test_Min(): + from sympy.abc import x, y, z + n = Symbol('n', negative=True) + n_ = Symbol('n_', negative=True) + nn = Symbol('nn', nonnegative=True) + nn_ = Symbol('nn_', nonnegative=True) + p = Symbol('p', positive=True) + p_ = Symbol('p_', positive=True) + np = Symbol('np', nonpositive=True) + np_ = Symbol('np_', nonpositive=True) + r = Symbol('r', real=True) + + assert Min(5, 4) == 4 + assert Min(-oo, -oo) is -oo + assert Min(-oo, n) is -oo + assert Min(n, -oo) is -oo + assert Min(-oo, np) is -oo + assert Min(np, -oo) is -oo + assert Min(-oo, 0) is -oo + assert Min(0, -oo) is -oo + assert Min(-oo, nn) is -oo + assert Min(nn, -oo) is -oo + assert Min(-oo, p) is -oo + assert Min(p, -oo) is -oo + assert Min(-oo, oo) is -oo + assert Min(oo, -oo) is -oo + assert Min(n, n) == n + assert unchanged(Min, n, np) + assert Min(np, n) == Min(n, np) + assert Min(n, 0) == n + assert Min(0, n) == n + assert Min(n, nn) == n + assert Min(nn, n) == n + assert Min(n, p) == n + assert Min(p, n) == n + assert Min(n, oo) == n + assert Min(oo, n) == n + assert Min(np, np) == np + assert Min(np, 0) == np + assert Min(0, np) == np + assert Min(np, nn) == np + assert Min(nn, np) == np + assert Min(np, p) == np + assert Min(p, np) == np + assert Min(np, oo) == np + assert Min(oo, np) == np + assert Min(0, 0) == 0 + assert Min(0, nn) == 0 + assert Min(nn, 0) == 0 + assert Min(0, p) == 0 + assert Min(p, 0) == 0 + assert Min(0, oo) == 0 + assert Min(oo, 0) == 0 + assert Min(nn, nn) == nn + assert unchanged(Min, nn, p) + assert Min(p, nn) == Min(nn, p) + assert Min(nn, oo) == nn + assert Min(oo, nn) == nn + assert Min(p, p) == p + assert Min(p, oo) == p + assert Min(oo, p) == p + assert Min(oo, oo) is oo + + assert Min(n, n_).func is Min + assert Min(nn, nn_).func is Min + assert Min(np, np_).func is Min + assert Min(p, p_).func is Min + + # lists + assert Min() is S.Infinity + assert Min(x) == x + assert Min(x, y) == Min(y, x) + assert Min(x, y, z) == Min(z, y, x) + assert Min(x, Min(y, z)) == Min(z, y, x) + assert Min(x, Max(y, -oo)) == Min(x, y) + assert Min(p, oo, n, p, p, p_) == n + assert Min(p_, n_, p) == n_ + assert Min(n, oo, -7, p, p, 2) == Min(n, -7) + assert Min(2, x, p, n, oo, n_, p, 2, -2, -2) == Min(-2, x, n, n_) + assert Min(0, x, 1, y) == Min(0, x, y) + assert Min(1000, 100, -100, x, p, n) == Min(n, x, -100) + assert unchanged(Min, sin(x), cos(x)) + assert Min(sin(x), cos(x)) == Min(cos(x), sin(x)) + assert Min(cos(x), sin(x)).subs(x, 1) == cos(1) + assert Min(cos(x), sin(x)).subs(x, S.Half) == sin(S.Half) + raises(ValueError, lambda: Min(cos(x), sin(x)).subs(x, I)) + raises(ValueError, lambda: Min(I)) + raises(ValueError, lambda: Min(I, x)) + raises(ValueError, lambda: Min(S.ComplexInfinity, x)) + + assert Min(1, x).diff(x) == Heaviside(1 - x) + assert Min(x, 1).diff(x) == Heaviside(1 - x) + assert Min(0, -x, 1 - 2*x).diff(x) == -Heaviside(x + Min(0, -2*x + 1)) \ + - 2*Heaviside(2*x + Min(0, -x) - 1) + + # issue 7619 + f = Function('f') + assert Min(1, 2*Min(f(1), 2)) # doesn't fail + + # issue 7233 + e = Min(0, x) + assert e.n().args == (0, x) + + # issue 8643 + m = Min(n, p_, n_, r) + assert m.is_positive is False + assert m.is_nonnegative is False + assert m.is_negative is True + + m = Min(p, p_) + assert m.is_positive is True + assert m.is_nonnegative is True + assert m.is_negative is False + + m = Min(p, nn_, p_) + assert m.is_positive is None + assert m.is_nonnegative is True + assert m.is_negative is False + + m = Min(nn, p, r) + assert m.is_positive is None + assert m.is_nonnegative is None + assert m.is_negative is None + + +def test_Max(): + from sympy.abc import x, y, z + n = Symbol('n', negative=True) + n_ = Symbol('n_', negative=True) + nn = Symbol('nn', nonnegative=True) + p = Symbol('p', positive=True) + p_ = Symbol('p_', positive=True) + r = Symbol('r', real=True) + + assert Max(5, 4) == 5 + + # lists + + assert Max() is S.NegativeInfinity + assert Max(x) == x + assert Max(x, y) == Max(y, x) + assert Max(x, y, z) == Max(z, y, x) + assert Max(x, Max(y, z)) == Max(z, y, x) + assert Max(x, Min(y, oo)) == Max(x, y) + assert Max(n, -oo, n_, p, 2) == Max(p, 2) + assert Max(n, -oo, n_, p) == p + assert Max(2, x, p, n, -oo, S.NegativeInfinity, n_, p, 2) == Max(2, x, p) + assert Max(0, x, 1, y) == Max(1, x, y) + assert Max(r, r + 1, r - 1) == 1 + r + assert Max(1000, 100, -100, x, p, n) == Max(p, x, 1000) + assert Max(cos(x), sin(x)) == Max(sin(x), cos(x)) + assert Max(cos(x), sin(x)).subs(x, 1) == sin(1) + assert Max(cos(x), sin(x)).subs(x, S.Half) == cos(S.Half) + raises(ValueError, lambda: Max(cos(x), sin(x)).subs(x, I)) + raises(ValueError, lambda: Max(I)) + raises(ValueError, lambda: Max(I, x)) + raises(ValueError, lambda: Max(S.ComplexInfinity, 1)) + assert Max(n, -oo, n_, p, 2) == Max(p, 2) + assert Max(n, -oo, n_, p, 1000) == Max(p, 1000) + + assert Max(1, x).diff(x) == Heaviside(x - 1) + assert Max(x, 1).diff(x) == Heaviside(x - 1) + assert Max(x**2, 1 + x, 1).diff(x) == \ + 2*x*Heaviside(x**2 - Max(1, x + 1)) \ + + Heaviside(x - Max(1, x**2) + 1) + + e = Max(0, x) + assert e.n().args == (0, x) + + # issue 8643 + m = Max(p, p_, n, r) + assert m.is_positive is True + assert m.is_nonnegative is True + assert m.is_negative is False + + m = Max(n, n_) + assert m.is_positive is False + assert m.is_nonnegative is False + assert m.is_negative is True + + m = Max(n, n_, r) + assert m.is_positive is None + assert m.is_nonnegative is None + assert m.is_negative is None + + m = Max(n, nn, r) + assert m.is_positive is None + assert m.is_nonnegative is True + assert m.is_negative is False + + +def test_minmax_assumptions(): + r = Symbol('r', real=True) + a = Symbol('a', real=True, algebraic=True) + t = Symbol('t', real=True, transcendental=True) + q = Symbol('q', rational=True) + p = Symbol('p', irrational=True) + n = Symbol('n', rational=True, integer=False) + i = Symbol('i', integer=True) + o = Symbol('o', odd=True) + e = Symbol('e', even=True) + k = Symbol('k', prime=True) + reals = [r, a, t, q, p, n, i, o, e, k] + + for ext in (Max, Min): + for x, y in it.product(reals, repeat=2): + + # Must be real + assert ext(x, y).is_real + + # Algebraic? + if x.is_algebraic and y.is_algebraic: + assert ext(x, y).is_algebraic + elif x.is_transcendental and y.is_transcendental: + assert ext(x, y).is_transcendental + else: + assert ext(x, y).is_algebraic is None + + # Rational? + if x.is_rational and y.is_rational: + assert ext(x, y).is_rational + elif x.is_irrational and y.is_irrational: + assert ext(x, y).is_irrational + else: + assert ext(x, y).is_rational is None + + # Integer? + if x.is_integer and y.is_integer: + assert ext(x, y).is_integer + elif x.is_noninteger and y.is_noninteger: + assert ext(x, y).is_noninteger + else: + assert ext(x, y).is_integer is None + + # Odd? + if x.is_odd and y.is_odd: + assert ext(x, y).is_odd + elif x.is_odd is False and y.is_odd is False: + assert ext(x, y).is_odd is False + else: + assert ext(x, y).is_odd is None + + # Even? + if x.is_even and y.is_even: + assert ext(x, y).is_even + elif x.is_even is False and y.is_even is False: + assert ext(x, y).is_even is False + else: + assert ext(x, y).is_even is None + + # Prime? + if x.is_prime and y.is_prime: + assert ext(x, y).is_prime + elif x.is_prime is False and y.is_prime is False: + assert ext(x, y).is_prime is False + else: + assert ext(x, y).is_prime is None + + +def test_issue_8413(): + x = Symbol('x', real=True) + # we can't evaluate in general because non-reals are not + # comparable: Min(floor(3.2 + I), 3.2 + I) -> ValueError + assert Min(floor(x), x) == floor(x) + assert Min(ceiling(x), x) == x + assert Max(floor(x), x) == x + assert Max(ceiling(x), x) == ceiling(x) + + +def test_root(): + from sympy.abc import x + n = Symbol('n', integer=True) + k = Symbol('k', integer=True) + + assert root(2, 2) == sqrt(2) + assert root(2, 1) == 2 + assert root(2, 3) == 2**Rational(1, 3) + assert root(2, 3) == cbrt(2) + assert root(2, -5) == 2**Rational(4, 5)/2 + + assert root(-2, 1) == -2 + + assert root(-2, 2) == sqrt(2)*I + assert root(-2, 1) == -2 + + assert root(x, 2) == sqrt(x) + assert root(x, 1) == x + assert root(x, 3) == x**Rational(1, 3) + assert root(x, 3) == cbrt(x) + assert root(x, -5) == x**Rational(-1, 5) + + assert root(x, n) == x**(1/n) + assert root(x, -n) == x**(-1/n) + + assert root(x, n, k) == (-1)**(2*k/n)*x**(1/n) + + +def test_real_root(): + assert real_root(-8, 3) == -2 + assert real_root(-16, 4) == root(-16, 4) + r = root(-7, 4) + assert real_root(r) == r + r1 = root(-1, 3) + r2 = r1**2 + r3 = root(-1, 4) + assert real_root(r1 + r2 + r3) == -1 + r2 + r3 + assert real_root(root(-2, 3)) == -root(2, 3) + assert real_root(-8., 3) == -2.0 + x = Symbol('x') + n = Symbol('n') + g = real_root(x, n) + assert g.subs({"x": -8, "n": 3}) == -2 + assert g.subs({"x": 8, "n": 3}) == 2 + # give principle root if there is no real root -- if this is not desired + # then maybe a Root class is needed to raise an error instead + assert g.subs({"x": I, "n": 3}) == cbrt(I) + assert g.subs({"x": -8, "n": 2}) == sqrt(-8) + assert g.subs({"x": I, "n": 2}) == sqrt(I) + + +def test_issue_11463(): + numpy = import_module('numpy') + if not numpy: + skip("numpy not installed.") + x = Symbol('x') + f = lambdify(x, real_root((log(x/(x-2))), 3), 'numpy') + # numpy.select evaluates all options before considering conditions, + # so it raises a warning about root of negative number which does + # not affect the outcome. This warning is suppressed here + with ignore_warnings(RuntimeWarning): + assert f(numpy.array(-1)) < -1 + + +def test_rewrite_MaxMin_as_Heaviside(): + from sympy.abc import x + assert Max(0, x).rewrite(Heaviside) == x*Heaviside(x) + assert Max(3, x).rewrite(Heaviside) == x*Heaviside(x - 3) + \ + 3*Heaviside(-x + 3) + assert Max(0, x+2, 2*x).rewrite(Heaviside) == \ + 2*x*Heaviside(2*x)*Heaviside(x - 2) + \ + (x + 2)*Heaviside(-x + 2)*Heaviside(x + 2) + + assert Min(0, x).rewrite(Heaviside) == x*Heaviside(-x) + assert Min(3, x).rewrite(Heaviside) == x*Heaviside(-x + 3) + \ + 3*Heaviside(x - 3) + assert Min(x, -x, -2).rewrite(Heaviside) == \ + x*Heaviside(-2*x)*Heaviside(-x - 2) - \ + x*Heaviside(2*x)*Heaviside(x - 2) \ + - 2*Heaviside(-x + 2)*Heaviside(x + 2) + + +def test_rewrite_MaxMin_as_Piecewise(): + from sympy.core.symbol import symbols + from sympy.functions.elementary.piecewise import Piecewise + x, y, z, a, b = symbols('x y z a b', real=True) + vx, vy, va = symbols('vx vy va') + assert Max(a, b).rewrite(Piecewise) == Piecewise((a, a >= b), (b, True)) + assert Max(x, y, z).rewrite(Piecewise) == Piecewise((x, (x >= y) & (x >= z)), (y, y >= z), (z, True)) + assert Max(x, y, a, b).rewrite(Piecewise) == Piecewise((a, (a >= b) & (a >= x) & (a >= y)), + (b, (b >= x) & (b >= y)), (x, x >= y), (y, True)) + assert Min(a, b).rewrite(Piecewise) == Piecewise((a, a <= b), (b, True)) + assert Min(x, y, z).rewrite(Piecewise) == Piecewise((x, (x <= y) & (x <= z)), (y, y <= z), (z, True)) + assert Min(x, y, a, b).rewrite(Piecewise) == Piecewise((a, (a <= b) & (a <= x) & (a <= y)), + (b, (b <= x) & (b <= y)), (x, x <= y), (y, True)) + + # Piecewise rewriting of Min/Max does also takes place for not explicitly real arguments + assert Max(vx, vy).rewrite(Piecewise) == Piecewise((vx, vx >= vy), (vy, True)) + assert Min(va, vx, vy).rewrite(Piecewise) == Piecewise((va, (va <= vx) & (va <= vy)), (vx, vx <= vy), (vy, True)) + + +def test_issue_11099(): + from sympy.abc import x, y + # some fixed value tests + fixed_test_data = {x: -2, y: 3} + assert Min(x, y).evalf(subs=fixed_test_data) == \ + Min(x, y).subs(fixed_test_data).evalf() + assert Max(x, y).evalf(subs=fixed_test_data) == \ + Max(x, y).subs(fixed_test_data).evalf() + # randomly generate some test data + from sympy.core.random import randint + for i in range(20): + random_test_data = {x: randint(-100, 100), y: randint(-100, 100)} + assert Min(x, y).evalf(subs=random_test_data) == \ + Min(x, y).subs(random_test_data).evalf() + assert Max(x, y).evalf(subs=random_test_data) == \ + Max(x, y).subs(random_test_data).evalf() + + +def test_issue_12638(): + from sympy.abc import a, b, c + assert Min(a, b, c, Max(a, b)) == Min(a, b, c) + assert Min(a, b, Max(a, b, c)) == Min(a, b) + assert Min(a, b, Max(a, c)) == Min(a, b) + +def test_issue_21399(): + from sympy.abc import a, b, c + assert Max(Min(a, b), Min(a, b, c)) == Min(a, b) + + +def test_instantiation_evaluation(): + from sympy.abc import v, w, x, y, z + assert Min(1, Max(2, x)) == 1 + assert Max(3, Min(2, x)) == 3 + assert Min(Max(x, y), Max(x, z)) == Max(x, Min(y, z)) + assert set(Min(Max(w, x), Max(y, z)).args) == { + Max(w, x), Max(y, z)} + assert Min(Max(x, y), Max(x, z), w) == Min( + w, Max(x, Min(y, z))) + A, B = Min, Max + for i in range(2): + assert A(x, B(x, y)) == x + assert A(x, B(y, A(x, w, z))) == A(x, B(y, A(w, z))) + A, B = B, A + assert Min(w, Max(x, y), Max(v, x, z)) == Min( + w, Max(x, Min(y, Max(v, z)))) + +def test_rewrite_as_Abs(): + from itertools import permutations + from sympy.functions.elementary.complexes import Abs + from sympy.abc import x, y, z, w + def test(e): + free = e.free_symbols + a = e.rewrite(Abs) + assert not a.has(Min, Max) + for i in permutations(range(len(free))): + reps = dict(zip(free, i)) + assert a.xreplace(reps) == e.xreplace(reps) + test(Min(x, y)) + test(Max(x, y)) + test(Min(x, y, z)) + test(Min(Max(w, x), Max(y, z))) + +def test_issue_14000(): + assert isinstance(sqrt(4, evaluate=False), Pow) == True + assert isinstance(cbrt(3.5, evaluate=False), Pow) == True + assert isinstance(root(16, 4, evaluate=False), Pow) == True + + assert sqrt(4, evaluate=False) == Pow(4, S.Half, evaluate=False) + assert cbrt(3.5, evaluate=False) == Pow(3.5, Rational(1, 3), evaluate=False) + assert root(4, 2, evaluate=False) == Pow(4, S.Half, evaluate=False) + + assert root(16, 4, 2, evaluate=False).has(Pow) == True + assert real_root(-8, 3, evaluate=False).has(Pow) == True + +def test_issue_6899(): + from sympy.core.function import Lambda + x = Symbol('x') + eqn = Lambda(x, x) + assert eqn.func(*eqn.args) == eqn + +def test_Rem(): + from sympy.abc import x, y + assert Rem(5, 3) == 2 + assert Rem(-5, 3) == -2 + assert Rem(5, -3) == 2 + assert Rem(-5, -3) == -2 + assert Rem(x**3, y) == Rem(x**3, y) + assert Rem(Rem(-5, 3) + 3, 3) == 1 + + +def test_minmax_no_evaluate(): + from sympy import evaluate + p = Symbol('p', positive=True) + + assert Max(1, 3) == 3 + assert Max(1, 3).args == () + assert Max(0, p) == p + assert Max(0, p).args == () + assert Min(0, p) == 0 + assert Min(0, p).args == () + + assert Max(1, 3, evaluate=False) != 3 + assert Max(1, 3, evaluate=False).args == (1, 3) + assert Max(0, p, evaluate=False) != p + assert Max(0, p, evaluate=False).args == (0, p) + assert Min(0, p, evaluate=False) != 0 + assert Min(0, p, evaluate=False).args == (0, p) + + with evaluate(False): + assert Max(1, 3) != 3 + assert Max(1, 3).args == (1, 3) + assert Max(0, p) != p + assert Max(0, p).args == (0, p) + assert Min(0, p) != 0 + assert Min(0, p).args == (0, p) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/tests/test_piecewise.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/tests/test_piecewise.py new file mode 100644 index 0000000000000000000000000000000000000000..7d0728095578b49480a1334857a1c237012d2534 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/tests/test_piecewise.py @@ -0,0 +1,1639 @@ +from sympy.concrete.summations import Sum +from sympy.core.add import Add +from sympy.core.basic import Basic +from sympy.core.containers import Tuple +from sympy.core.expr import unchanged +from sympy.core.function import (Function, diff, expand) +from sympy.core.mul import Mul +from sympy.core.mod import Mod +from sympy.core.numbers import (Float, I, Rational, oo, pi, zoo) +from sympy.core.relational import (Eq, Ge, Gt, Ne) +from sympy.core.singleton import S +from sympy.core.symbol import (Symbol, symbols) +from sympy.functions.combinatorial.factorials import factorial +from sympy.functions.elementary.complexes import (Abs, adjoint, arg, conjugate, im, re, transpose) +from sympy.functions.elementary.exponential import (exp, log) +from sympy.functions.elementary.miscellaneous import (Max, Min, sqrt) +from sympy.functions.elementary.piecewise import (Piecewise, + piecewise_fold, piecewise_exclusive, Undefined, ExprCondPair) +from sympy.functions.elementary.trigonometric import (cos, sin) +from sympy.functions.special.delta_functions import (DiracDelta, Heaviside) +from sympy.functions.special.tensor_functions import KroneckerDelta +from sympy.integrals.integrals import (Integral, integrate) +from sympy.logic.boolalg import (And, ITE, Not, Or) +from sympy.matrices.expressions.matexpr import MatrixSymbol +from sympy.printing import srepr +from sympy.sets.contains import Contains +from sympy.sets.sets import Interval +from sympy.solvers.solvers import solve +from sympy.testing.pytest import raises, slow +from sympy.utilities.lambdify import lambdify + +a, b, c, d, x, y = symbols('a:d, x, y') +z = symbols('z', nonzero=True) + + +def test_piecewise1(): + + # Test canonicalization + assert Piecewise((x, x < 1.)).has(1.0) # doesn't get changed to x < 1 + assert unchanged(Piecewise, ExprCondPair(x, x < 1), ExprCondPair(0, True)) + assert Piecewise((x, x < 1), (0, True)) == Piecewise(ExprCondPair(x, x < 1), + ExprCondPair(0, True)) + assert Piecewise((x, x < 1), (0, True), (1, True)) == \ + Piecewise((x, x < 1), (0, True)) + assert Piecewise((x, x < 1), (0, False), (-1, 1 > 2)) == \ + Piecewise((x, x < 1)) + assert Piecewise((x, x < 1), (0, x < 1), (0, True)) == \ + Piecewise((x, x < 1), (0, True)) + assert Piecewise((x, x < 1), (0, x < 2), (0, True)) == \ + Piecewise((x, x < 1), (0, True)) + assert Piecewise((x, x < 1), (x, x < 2), (0, True)) == \ + Piecewise((x, Or(x < 1, x < 2)), (0, True)) + assert Piecewise((x, x < 1), (x, x < 2), (x, True)) == x + assert Piecewise((x, True)) == x + # Explicitly constructed empty Piecewise not accepted + raises(TypeError, lambda: Piecewise()) + # False condition is never retained + assert Piecewise((2*x, x < 0), (x, False)) == \ + Piecewise((2*x, x < 0), (x, False), evaluate=False) == \ + Piecewise((2*x, x < 0)) + assert Piecewise((x, False)) == Undefined + raises(TypeError, lambda: Piecewise(x)) + assert Piecewise((x, 1)) == x # 1 and 0 are accepted as True/False + raises(TypeError, lambda: Piecewise((x, 2))) + raises(TypeError, lambda: Piecewise((x, x**2))) + raises(TypeError, lambda: Piecewise(([1], True))) + assert Piecewise(((1, 2), True)) == Tuple(1, 2) + cond = (Piecewise((1, x < 0), (2, True)) < y) + assert Piecewise((1, cond) + ) == Piecewise((1, ITE(x < 0, y > 1, y > 2))) + + assert Piecewise((1, x > 0), (2, And(x <= 0, x > -1)) + ) == Piecewise((1, x > 0), (2, x > -1)) + assert Piecewise((1, x <= 0), (2, (x < 0) & (x > -1)) + ) == Piecewise((1, x <= 0)) + + # test for supporting Contains in Piecewise + pwise = Piecewise( + (1, And(x <= 6, x > 1, Contains(x, S.Integers))), + (0, True)) + assert pwise.subs(x, pi) == 0 + assert pwise.subs(x, 2) == 1 + assert pwise.subs(x, 7) == 0 + + # Test subs + p = Piecewise((-1, x < -1), (x**2, x < 0), (log(x), x >= 0)) + p_x2 = Piecewise((-1, x**2 < -1), (x**4, x**2 < 0), (log(x**2), x**2 >= 0)) + assert p.subs(x, x**2) == p_x2 + assert p.subs(x, -5) == -1 + assert p.subs(x, -1) == 1 + assert p.subs(x, 1) == log(1) + + # More subs tests + p2 = Piecewise((1, x < pi), (-1, x < 2*pi), (0, x > 2*pi)) + p3 = Piecewise((1, Eq(x, 0)), (1/x, True)) + p4 = Piecewise((1, Eq(x, 0)), (2, 1/x>2)) + assert p2.subs(x, 2) == 1 + assert p2.subs(x, 4) == -1 + assert p2.subs(x, 10) == 0 + assert p3.subs(x, 0.0) == 1 + assert p4.subs(x, 0.0) == 1 + + + f, g, h = symbols('f,g,h', cls=Function) + pf = Piecewise((f(x), x < -1), (f(x) + h(x) + 2, x <= 1)) + pg = Piecewise((g(x), x < -1), (g(x) + h(x) + 2, x <= 1)) + assert pg.subs(g, f) == pf + + assert Piecewise((1, Eq(x, 0)), (0, True)).subs(x, 0) == 1 + assert Piecewise((1, Eq(x, 0)), (0, True)).subs(x, 1) == 0 + assert Piecewise((1, Eq(x, y)), (0, True)).subs(x, y) == 1 + assert Piecewise((1, Eq(x, z)), (0, True)).subs(x, z) == 1 + assert Piecewise((1, Eq(exp(x), cos(z))), (0, True)).subs(x, z) == \ + Piecewise((1, Eq(exp(z), cos(z))), (0, True)) + + p5 = Piecewise( (0, Eq(cos(x) + y, 0)), (1, True)) + assert p5.subs(y, 0) == Piecewise( (0, Eq(cos(x), 0)), (1, True)) + + assert Piecewise((-1, y < 1), (0, x < 0), (1, Eq(x, 0)), (2, True) + ).subs(x, 1) == Piecewise((-1, y < 1), (2, True)) + assert Piecewise((1, Eq(x**2, -1)), (2, x < 0)).subs(x, I) == 1 + + p6 = Piecewise((x, x > 0)) + n = symbols('n', negative=True) + assert p6.subs(x, n) == Undefined + + # Test evalf + assert p.evalf() == Piecewise((-1.0, x < -1), (x**2, x < 0), (log(x), True)) + assert p.evalf(subs={x: -2}) == -1.0 + assert p.evalf(subs={x: -1}) == 1.0 + assert p.evalf(subs={x: 1}) == log(1) + assert p6.evalf(subs={x: -5}) == Undefined + + # Test doit + f_int = Piecewise((Integral(x, (x, 0, 1)), x < 1)) + assert f_int.doit() == Piecewise( (S.Half, x < 1) ) + + # Test differentiation + f = x + fp = x*p + dp = Piecewise((0, x < -1), (2*x, x < 0), (1/x, x >= 0)) + fp_dx = x*dp + p + assert diff(p, x) == dp + assert diff(f*p, x) == fp_dx + + # Test simple arithmetic + assert x*p == fp + assert x*p + p == p + x*p + assert p + f == f + p + assert p + dp == dp + p + assert p - dp == -(dp - p) + + # Test power + dp2 = Piecewise((0, x < -1), (4*x**2, x < 0), (1/x**2, x >= 0)) + assert dp**2 == dp2 + + # Test _eval_interval + f1 = x*y + 2 + f2 = x*y**2 + 3 + peval = Piecewise((f1, x < 0), (f2, x > 0)) + peval_interval = f1.subs( + x, 0) - f1.subs(x, -1) + f2.subs(x, 1) - f2.subs(x, 0) + assert peval._eval_interval(x, 0, 0) == 0 + assert peval._eval_interval(x, -1, 1) == peval_interval + peval2 = Piecewise((f1, x < 0), (f2, True)) + assert peval2._eval_interval(x, 0, 0) == 0 + assert peval2._eval_interval(x, 1, -1) == -peval_interval + assert peval2._eval_interval(x, -1, -2) == f1.subs(x, -2) - f1.subs(x, -1) + assert peval2._eval_interval(x, -1, 1) == peval_interval + assert peval2._eval_interval(x, None, 0) == peval2.subs(x, 0) + assert peval2._eval_interval(x, -1, None) == -peval2.subs(x, -1) + + # Test integration + assert p.integrate() == Piecewise( + (-x, x < -1), + (x**3/3 + Rational(4, 3), x < 0), + (x*log(x) - x + Rational(4, 3), True)) + p = Piecewise((x, x < 1), (x**2, -1 <= x), (x, 3 < x)) + assert integrate(p, (x, -2, 2)) == Rational(5, 6) + assert integrate(p, (x, 2, -2)) == Rational(-5, 6) + p = Piecewise((0, x < 0), (1, x < 1), (0, x < 2), (1, x < 3), (0, True)) + assert integrate(p, (x, -oo, oo)) == 2 + p = Piecewise((x, x < -10), (x**2, x <= -1), (x, 1 < x)) + assert integrate(p, (x, -2, 2)) == Undefined + + # Test commutativity + assert isinstance(p, Piecewise) and p.is_commutative is True + + +def test_piecewise_free_symbols(): + f = Piecewise((x, a < 0), (y, True)) + assert f.free_symbols == {x, y, a} + + +def test_piecewise_integrate1(): + x, y = symbols('x y', real=True) + + f = Piecewise(((x - 2)**2, x >= 0), (1, True)) + assert integrate(f, (x, -2, 2)) == Rational(14, 3) + + g = Piecewise(((x - 5)**5, x >= 4), (f, True)) + assert integrate(g, (x, -2, 2)) == Rational(14, 3) + assert integrate(g, (x, -2, 5)) == Rational(43, 6) + + assert g == Piecewise(((x - 5)**5, x >= 4), (f, x < 4)) + + g = Piecewise(((x - 5)**5, 2 <= x), (f, x < 2)) + assert integrate(g, (x, -2, 2)) == Rational(14, 3) + assert integrate(g, (x, -2, 5)) == Rational(-701, 6) + + assert g == Piecewise(((x - 5)**5, 2 <= x), (f, True)) + + g = Piecewise(((x - 5)**5, 2 <= x), (2*f, True)) + assert integrate(g, (x, -2, 2)) == Rational(28, 3) + assert integrate(g, (x, -2, 5)) == Rational(-673, 6) + + +def test_piecewise_integrate1b(): + g = Piecewise((1, x > 0), (0, Eq(x, 0)), (-1, x < 0)) + assert integrate(g, (x, -1, 1)) == 0 + + g = Piecewise((1, x - y < 0), (0, True)) + assert integrate(g, (y, -oo, 0)) == -Min(0, x) + assert g.subs(x, -3).integrate((y, -oo, 0)) == 3 + assert integrate(g, (y, 0, -oo)) == Min(0, x) + assert integrate(g, (y, 0, oo)) == -Max(0, x) + oo + assert integrate(g, (y, -oo, 42)) == -Min(42, x) + 42 + assert integrate(g, (y, -oo, oo)) == -x + oo + + g = Piecewise((0, x < 0), (x, x <= 1), (1, True)) + gy1 = g.integrate((x, y, 1)) + g1y = g.integrate((x, 1, y)) + for yy in (-1, S.Half, 2): + assert g.integrate((x, yy, 1)) == gy1.subs(y, yy) + assert g.integrate((x, 1, yy)) == g1y.subs(y, yy) + assert gy1 == Piecewise( + (-Min(1, Max(0, y))**2/2 + S.Half, y < 1), + (-y + 1, True)) + assert g1y == Piecewise( + (Min(1, Max(0, y))**2/2 - S.Half, y < 1), + (y - 1, True)) + + +@slow +def test_piecewise_integrate1ca(): + y = symbols('y', real=True) + g = Piecewise( + (1 - x, Interval(0, 1).contains(x)), + (1 + x, Interval(-1, 0).contains(x)), + (0, True) + ) + gy1 = g.integrate((x, y, 1)) + g1y = g.integrate((x, 1, y)) + + assert g.integrate((x, -2, 1)) == gy1.subs(y, -2) + assert g.integrate((x, 1, -2)) == g1y.subs(y, -2) + assert g.integrate((x, 0, 1)) == gy1.subs(y, 0) + assert g.integrate((x, 1, 0)) == g1y.subs(y, 0) + assert g.integrate((x, 2, 1)) == gy1.subs(y, 2) + assert g.integrate((x, 1, 2)) == g1y.subs(y, 2) + assert piecewise_fold(gy1.rewrite(Piecewise) + ).simplify() == Piecewise( + (1, y <= -1), + (-y**2/2 - y + S.Half, y <= 0), + (y**2/2 - y + S.Half, y < 1), + (0, True)) + assert piecewise_fold(g1y.rewrite(Piecewise) + ).simplify() == Piecewise( + (-1, y <= -1), + (y**2/2 + y - S.Half, y <= 0), + (-y**2/2 + y - S.Half, y < 1), + (0, True)) + assert gy1 == Piecewise( + ( + -Min(1, Max(-1, y))**2/2 - Min(1, Max(-1, y)) + + Min(1, Max(0, y))**2 + S.Half, y < 1), + (0, True) + ) + assert g1y == Piecewise( + ( + Min(1, Max(-1, y))**2/2 + Min(1, Max(-1, y)) - + Min(1, Max(0, y))**2 - S.Half, y < 1), + (0, True)) + + +@slow +def test_piecewise_integrate1cb(): + y = symbols('y', real=True) + g = Piecewise( + (0, Or(x <= -1, x >= 1)), + (1 - x, x > 0), + (1 + x, True) + ) + gy1 = g.integrate((x, y, 1)) + g1y = g.integrate((x, 1, y)) + + assert g.integrate((x, -2, 1)) == gy1.subs(y, -2) + assert g.integrate((x, 1, -2)) == g1y.subs(y, -2) + assert g.integrate((x, 0, 1)) == gy1.subs(y, 0) + assert g.integrate((x, 1, 0)) == g1y.subs(y, 0) + assert g.integrate((x, 2, 1)) == gy1.subs(y, 2) + assert g.integrate((x, 1, 2)) == g1y.subs(y, 2) + + assert piecewise_fold(gy1.rewrite(Piecewise) + ).simplify() == Piecewise( + (1, y <= -1), + (-y**2/2 - y + S.Half, y <= 0), + (y**2/2 - y + S.Half, y < 1), + (0, True)) + assert piecewise_fold(g1y.rewrite(Piecewise) + ).simplify() == Piecewise( + (-1, y <= -1), + (y**2/2 + y - S.Half, y <= 0), + (-y**2/2 + y - S.Half, y < 1), + (0, True)) + + # g1y and gy1 should simplify if the condition that y < 1 + # is applied, e.g. Min(1, Max(-1, y)) --> Max(-1, y) + assert gy1 == Piecewise( + ( + -Min(1, Max(-1, y))**2/2 - Min(1, Max(-1, y)) + + Min(1, Max(0, y))**2 + S.Half, y < 1), + (0, True) + ) + assert g1y == Piecewise( + ( + Min(1, Max(-1, y))**2/2 + Min(1, Max(-1, y)) - + Min(1, Max(0, y))**2 - S.Half, y < 1), + (0, True)) + + +def test_piecewise_integrate2(): + from itertools import permutations + lim = Tuple(x, c, d) + p = Piecewise((1, x < a), (2, x > b), (3, True)) + q = p.integrate(lim) + assert q == Piecewise( + (-c + 2*d - 2*Min(d, Max(a, c)) + Min(d, Max(a, b, c)), c < d), + (-2*c + d + 2*Min(c, Max(a, d)) - Min(c, Max(a, b, d)), True)) + for v in permutations((1, 2, 3, 4)): + r = dict(zip((a, b, c, d), v)) + assert p.subs(r).integrate(lim.subs(r)) == q.subs(r) + + +def test_meijer_bypass(): + # totally bypass meijerg machinery when dealing + # with Piecewise in integrate + assert Piecewise((1, x < 4), (0, True)).integrate((x, oo, 1)) == -3 + + +def test_piecewise_integrate3_inequality_conditions(): + from sympy.utilities.iterables import cartes + lim = (x, 0, 5) + # set below includes two pts below range, 2 pts in range, + # 2 pts above range, and the boundaries + N = (-2, -1, 0, 1, 2, 5, 6, 7) + + p = Piecewise((1, x > a), (2, x > b), (0, True)) + ans = p.integrate(lim) + for i, j in cartes(N, repeat=2): + reps = dict(zip((a, b), (i, j))) + assert ans.subs(reps) == p.subs(reps).integrate(lim) + assert ans.subs(a, 4).subs(b, 1) == 0 + 2*3 + 1 + + p = Piecewise((1, x > a), (2, x < b), (0, True)) + ans = p.integrate(lim) + for i, j in cartes(N, repeat=2): + reps = dict(zip((a, b), (i, j))) + assert ans.subs(reps) == p.subs(reps).integrate(lim) + + # delete old tests that involved c1 and c2 since those + # reduce to the above except that a value of 0 was used + # for two expressions whereas the above uses 3 different + # values + + +@slow +def test_piecewise_integrate4_symbolic_conditions(): + a = Symbol('a', real=True) + b = Symbol('b', real=True) + x = Symbol('x', real=True) + y = Symbol('y', real=True) + p0 = Piecewise((0, Or(x < a, x > b)), (1, True)) + p1 = Piecewise((0, x < a), (0, x > b), (1, True)) + p2 = Piecewise((0, x > b), (0, x < a), (1, True)) + p3 = Piecewise((0, x < a), (1, x < b), (0, True)) + p4 = Piecewise((0, x > b), (1, x > a), (0, True)) + p5 = Piecewise((1, And(a < x, x < b)), (0, True)) + + # check values of a=1, b=3 (and reversed) with values + # of y of 0, 1, 2, 3, 4 + lim = Tuple(x, -oo, y) + for p in (p0, p1, p2, p3, p4, p5): + ans = p.integrate(lim) + for i in range(5): + reps = {a:1, b:3, y:i} + assert ans.subs(reps) == p.subs(reps).integrate(lim.subs(reps)) + reps = {a: 3, b:1, y:i} + assert ans.subs(reps) == p.subs(reps).integrate(lim.subs(reps)) + lim = Tuple(x, y, oo) + for p in (p0, p1, p2, p3, p4, p5): + ans = p.integrate(lim) + for i in range(5): + reps = {a:1, b:3, y:i} + assert ans.subs(reps) == p.subs(reps).integrate(lim.subs(reps)) + reps = {a:3, b:1, y:i} + assert ans.subs(reps) == p.subs(reps).integrate(lim.subs(reps)) + + ans = Piecewise( + (0, x <= Min(a, b)), + (x - Min(a, b), x <= b), + (b - Min(a, b), True)) + for i in (p0, p1, p2, p4): + assert i.integrate(x) == ans + assert p3.integrate(x) == Piecewise( + (0, x < a), + (-a + x, x <= Max(a, b)), + (-a + Max(a, b), True)) + assert p5.integrate(x) == Piecewise( + (0, x <= a), + (-a + x, x <= Max(a, b)), + (-a + Max(a, b), True)) + + p1 = Piecewise((0, x < a), (S.Half, x > b), (1, True)) + p2 = Piecewise((S.Half, x > b), (0, x < a), (1, True)) + p3 = Piecewise((0, x < a), (1, x < b), (S.Half, True)) + p4 = Piecewise((S.Half, x > b), (1, x > a), (0, True)) + p5 = Piecewise((1, And(a < x, x < b)), (S.Half, x > b), (0, True)) + + # check values of a=1, b=3 (and reversed) with values + # of y of 0, 1, 2, 3, 4 + lim = Tuple(x, -oo, y) + for p in (p1, p2, p3, p4, p5): + ans = p.integrate(lim) + for i in range(5): + reps = {a:1, b:3, y:i} + assert ans.subs(reps) == p.subs(reps).integrate(lim.subs(reps)) + reps = {a: 3, b:1, y:i} + assert ans.subs(reps) == p.subs(reps).integrate(lim.subs(reps)) + + +def test_piecewise_integrate5_independent_conditions(): + p = Piecewise((0, Eq(y, 0)), (x*y, True)) + assert integrate(p, (x, 1, 3)) == Piecewise((0, Eq(y, 0)), (4*y, True)) + + +def test_issue_22917(): + p = (Piecewise((0, ITE((x - y > 1) | (2 * x - 2 * y > 1), False, + ITE(x - y > 1, 2 * y - 2 < -1, 2 * x - 2 * y > 1))), + (Piecewise((0, ITE(x - y > 1, True, 2 * x - 2 * y > 1)), + (2 * Piecewise((0, x - y > 1), (y, True)), True)), True)) + + 2 * Piecewise((1, ITE((x - y > 1) | (2 * x - 2 * y > 1), False, + ITE(x - y > 1, 2 * y - 2 < -1, 2 * x - 2 * y > 1))), + (Piecewise((1, ITE(x - y > 1, True, 2 * x - 2 * y > 1)), + (2 * Piecewise((1, x - y > 1), (x, True)), True)), True))) + assert piecewise_fold(p) == Piecewise((2, (x - y > S.Half) | (x - y > 1)), + (2*y + 4, x - y > 1), + (4*x + 2*y, True)) + assert piecewise_fold(p > 1).rewrite(ITE) == ITE((x - y > S.Half) | (x - y > 1), True, + ITE(x - y > 1, 2*y + 4 > 1, 4*x + 2*y > 1)) + + +def test_piecewise_simplify(): + p = Piecewise(((x**2 + 1)/x**2, Eq(x*(1 + x) - x**2, 0)), + ((-1)**x*(-1), True)) + assert p.simplify() == \ + Piecewise((zoo, Eq(x, 0)), ((-1)**(x + 1), True)) + # simplify when there are Eq in conditions + assert Piecewise( + (a, And(Eq(a, 0), Eq(a + b, 0))), (1, True)).simplify( + ) == Piecewise( + (0, And(Eq(a, 0), Eq(b, 0))), (1, True)) + assert Piecewise((2*x*factorial(a)/(factorial(y)*factorial(-y + a)), + Eq(y, 0) & Eq(-y + a, 0)), (2*factorial(a)/(factorial(y)*factorial(-y + + a)), Eq(y, 0) & Eq(-y + a, 1)), (0, True)).simplify( + ) == Piecewise( + (2*x, And(Eq(a, 0), Eq(y, 0))), + (2, And(Eq(a, 1), Eq(y, 0))), + (0, True)) + args = (2, And(Eq(x, 2), Ge(y, 0))), (x, True) + assert Piecewise(*args).simplify() == Piecewise(*args) + args = (1, Eq(x, 0)), (sin(x)/x, True) + assert Piecewise(*args).simplify() == Piecewise(*args) + assert Piecewise((2 + y, And(Eq(x, 2), Eq(y, 0))), (x, True) + ).simplify() == x + # check that x or f(x) are recognized as being Symbol-like for lhs + args = Tuple((1, Eq(x, 0)), (sin(x) + 1 + x, True)) + ans = x + sin(x) + 1 + f = Function('f') + assert Piecewise(*args).simplify() == ans + assert Piecewise(*args.subs(x, f(x))).simplify() == ans.subs(x, f(x)) + + # issue 18634 + d = Symbol("d", integer=True) + n = Symbol("n", integer=True) + t = Symbol("t", positive=True) + expr = Piecewise((-d + 2*n, Eq(1/t, 1)), (t**(1 - 4*n)*t**(4*n - 1)*(-d + 2*n), True)) + assert expr.simplify() == -d + 2*n + + # issue 22747 + p = Piecewise((0, (t < -2) & (t < -1) & (t < 0)), ((t/2 + 1)*(t + + 1)*(t + 2), (t < -1) & (t < 0)), ((S.Half - t/2)*(1 - t)*(t + 1), + (t < -2) & (t < -1) & (t < 1)), ((t + 1)*(-t*(t/2 + 1) + (S.Half + - t/2)*(1 - t)), (t < -2) & (t < -1) & (t < 0) & (t < 1)), ((t + + 1)*((S.Half - t/2)*(1 - t) + (t/2 + 1)*(t + 2)), (t < -1) & (t < + 1)), ((t + 1)*(-t*(t/2 + 1) + (S.Half - t/2)*(1 - t)), (t < -1) & + (t < 0) & (t < 1)), (0, (t < -2) & (t < -1)), ((t/2 + 1)*(t + + 1)*(t + 2), t < -1), ((t + 1)*(-t*(t/2 + 1) + (S.Half - t/2)*(t + + 1)), (t < 0) & ((t < -2) | (t < 0))), ((S.Half - t/2)*(1 - t)*(t + + 1), (t < 1) & ((t < -2) | (t < 1))), (0, True)) + Piecewise((0, + (t < -1) & (t < 0) & (t < 1)), ((1 - t)*(t/2 + S.Half)*(t + 1), + (t < 0) & (t < 1)), ((1 - t)*(1 - t/2)*(2 - t), (t < -1) & (t < + 0) & (t < 2)), ((1 - t)*((1 - t)*(t/2 + S.Half) + (1 - t/2)*(2 - + t)), (t < -1) & (t < 0) & (t < 1) & (t < 2)), ((1 - t)*((1 - + t/2)*(2 - t) + (t/2 + S.Half)*(t + 1)), (t < 0) & (t < 2)), ((1 - + t)*((1 - t)*(t/2 + S.Half) + (1 - t/2)*(2 - t)), (t < 0) & (t < + 1) & (t < 2)), (0, (t < -1) & (t < 0)), ((1 - t)*(t/2 + + S.Half)*(t + 1), t < 0), ((1 - t)*(t*(1 - t/2) + (1 - t)*(t/2 + + S.Half)), (t < 1) & ((t < -1) | (t < 1))), ((1 - t)*(1 - t/2)*(2 + - t), (t < 2) & ((t < -1) | (t < 2))), (0, True)) + assert p.simplify() == Piecewise( + (0, t < -2), ((t + 1)*(t + 2)**2/2, t < -1), (-3*t**3/2 + - 5*t**2/2 + 1, t < 0), (3*t**3/2 - 5*t**2/2 + 1, t < 1), ((1 - + t)*(t - 2)**2/2, t < 2), (0, True)) + + # coverage + nan = Undefined + assert Piecewise((1, x > 3), (2, x < 2), (3, x > 1)).simplify( + ) == Piecewise((1, x > 3), (2, x < 2), (3, True)) + assert Piecewise((1, x < 2), (2, x < 1), (3, True)).simplify( + ) == Piecewise((1, x < 2), (3, True)) + assert Piecewise((1, x > 2)).simplify() == Piecewise((1, x > 2), + (nan, True)) + assert Piecewise((1, (x >= 2) & (x < oo)) + ).simplify() == Piecewise((1, (x >= 2) & (x < oo)), (nan, True)) + assert Piecewise((1, x < 2), (2, (x > 1) & (x < 3)), (3, True) + ). simplify() == Piecewise((1, x < 2), (2, x < 3), (3, True)) + assert Piecewise((1, x < 2), (2, (x <= 3) & (x > 1)), (3, True) + ).simplify() == Piecewise((1, x < 2), (2, x <= 3), (3, True)) + assert Piecewise((1, x < 2), (2, (x > 2) & (x < 3)), (3, True) + ).simplify() == Piecewise((1, x < 2), (2, (x > 2) & (x < 3)), + (3, True)) + assert Piecewise((1, x < 2), (2, (x >= 1) & (x <= 3)), (3, True) + ).simplify() == Piecewise((1, x < 2), (2, x <= 3), (3, True)) + assert Piecewise((1, x < 1), (2, (x >= 2) & (x <= 3)), (3, True) + ).simplify() == Piecewise((1, x < 1), (2, (x >= 2) & (x <= 3)), + (3, True)) + # https://github.com/sympy/sympy/issues/25603 + assert Piecewise((log(x), (x <= 5) & (x > 3)), (x, True) + ).simplify() == Piecewise((log(x), (x <= 5) & (x > 3)), (x, True)) + + assert Piecewise((1, (x >= 1) & (x < 3)), (2, (x > 2) & (x < 4)) + ).simplify() == Piecewise((1, (x >= 1) & (x < 3)), ( + 2, (x >= 3) & (x < 4)), (nan, True)) + assert Piecewise((1, (x >= 1) & (x <= 3)), (2, (x > 2) & (x < 4)) + ).simplify() == Piecewise((1, (x >= 1) & (x <= 3)), ( + 2, (x > 3) & (x < 4)), (nan, True)) + + # involves a symbolic range so cset.inf fails + L = Symbol('L', nonnegative=True) + p = Piecewise((nan, x <= 0), (0, (x >= 0) & (L > x) & (L - x <= 0)), + (x - L/2, (L > x) & (L - x <= 0)), + (L/2 - x, (x >= 0) & (L > x)), + (0, L > x), (nan, True)) + assert p.simplify() == Piecewise( + (nan, x <= 0), (L/2 - x, L > x), (nan, True)) + assert p.subs(L, y).simplify() == Piecewise( + (nan, x <= 0), (-x + y/2, x < Max(0, y)), (0, x < y), (nan, True)) + + +def test_piecewise_solve(): + abs2 = Piecewise((-x, x <= 0), (x, x > 0)) + f = abs2.subs(x, x - 2) + assert solve(f, x) == [2] + assert solve(f - 1, x) == [1, 3] + + f = Piecewise(((x - 2)**2, x >= 0), (1, True)) + assert solve(f, x) == [2] + + g = Piecewise(((x - 5)**5, x >= 4), (f, True)) + assert solve(g, x) == [2, 5] + + g = Piecewise(((x - 5)**5, x >= 4), (f, x < 4)) + assert solve(g, x) == [2, 5] + + g = Piecewise(((x - 5)**5, x >= 2), (f, x < 2)) + assert solve(g, x) == [5] + + g = Piecewise(((x - 5)**5, x >= 2), (f, True)) + assert solve(g, x) == [5] + + g = Piecewise(((x - 5)**5, x >= 2), (f, True), (10, False)) + assert solve(g, x) == [5] + + g = Piecewise(((x - 5)**5, x >= 2), + (-x + 2, x - 2 <= 0), (x - 2, x - 2 > 0)) + assert solve(g, x) == [5] + + # if no symbol is given the piecewise detection must still work + assert solve(Piecewise((x - 2, x > 2), (2 - x, True)) - 3) == [-1, 5] + + f = Piecewise(((x - 2)**2, x >= 0), (0, True)) + raises(NotImplementedError, lambda: solve(f, x)) + + def nona(ans): + return list(filter(lambda x: x is not S.NaN, ans)) + p = Piecewise((x**2 - 4, x < y), (x - 2, True)) + ans = solve(p, x) + assert nona([i.subs(y, -2) for i in ans]) == [2] + assert nona([i.subs(y, 2) for i in ans]) == [-2, 2] + assert nona([i.subs(y, 3) for i in ans]) == [-2, 2] + assert ans == [ + Piecewise((-2, y > -2), (S.NaN, True)), + Piecewise((2, y <= 2), (S.NaN, True)), + Piecewise((2, y > 2), (S.NaN, True))] + + # issue 6060 + absxm3 = Piecewise( + (x - 3, 0 <= x - 3), + (3 - x, 0 > x - 3) + ) + assert solve(absxm3 - y, x) == [ + Piecewise((-y + 3, -y < 0), (S.NaN, True)), + Piecewise((y + 3, y >= 0), (S.NaN, True))] + p = Symbol('p', positive=True) + assert solve(absxm3 - p, x) == [-p + 3, p + 3] + + # issue 6989 + f = Function('f') + assert solve(Eq(-f(x), Piecewise((1, x > 0), (0, True))), f(x)) == \ + [Piecewise((-1, x > 0), (0, True))] + + # issue 8587 + f = Piecewise((2*x**2, And(0 < x, x < 1)), (2, True)) + assert solve(f - 1) == [1/sqrt(2)] + + +def test_piecewise_fold(): + p = Piecewise((x, x < 1), (1, 1 <= x)) + + assert piecewise_fold(x*p) == Piecewise((x**2, x < 1), (x, 1 <= x)) + assert piecewise_fold(p + p) == Piecewise((2*x, x < 1), (2, 1 <= x)) + assert piecewise_fold(Piecewise((1, x < 0), (2, True)) + + Piecewise((10, x < 0), (-10, True))) == \ + Piecewise((11, x < 0), (-8, True)) + + p1 = Piecewise((0, x < 0), (x, x <= 1), (0, True)) + p2 = Piecewise((0, x < 0), (1 - x, x <= 1), (0, True)) + + p = 4*p1 + 2*p2 + assert integrate( + piecewise_fold(p), (x, -oo, oo)) == integrate(2*x + 2, (x, 0, 1)) + + assert piecewise_fold( + Piecewise((1, y <= 0), (-Piecewise((2, y >= 0)), True) + )) == Piecewise((1, y <= 0), (-2, y >= 0)) + + assert piecewise_fold(Piecewise((x, ITE(x > 0, y < 1, y > 1))) + ) == Piecewise((x, ((x <= 0) | (y < 1)) & ((x > 0) | (y > 1)))) + + a, b = (Piecewise((2, Eq(x, 0)), (0, True)), + Piecewise((x, Eq(-x + y, 0)), (1, Eq(-x + y, 1)), (0, True))) + assert piecewise_fold(Mul(a, b, evaluate=False) + ) == piecewise_fold(Mul(b, a, evaluate=False)) + + +def test_piecewise_fold_piecewise_in_cond(): + p1 = Piecewise((cos(x), x < 0), (0, True)) + p2 = Piecewise((0, Eq(p1, 0)), (p1 / Abs(p1), True)) + assert p2.subs(x, -pi/2) == 0 + assert p2.subs(x, 1) == 0 + assert p2.subs(x, -pi/4) == 1 + p4 = Piecewise((0, Eq(p1, 0)), (1,True)) + ans = piecewise_fold(p4) + for i in range(-1, 1): + assert ans.subs(x, i) == p4.subs(x, i) + + r1 = 1 < Piecewise((1, x < 1), (3, True)) + ans = piecewise_fold(r1) + for i in range(2): + assert ans.subs(x, i) == r1.subs(x, i) + + p5 = Piecewise((1, x < 0), (3, True)) + p6 = Piecewise((1, x < 1), (3, True)) + p7 = Piecewise((1, p5 < p6), (0, True)) + ans = piecewise_fold(p7) + for i in range(-1, 2): + assert ans.subs(x, i) == p7.subs(x, i) + + +def test_piecewise_fold_piecewise_in_cond_2(): + p1 = Piecewise((cos(x), x < 0), (0, True)) + p2 = Piecewise((0, Eq(p1, 0)), (1 / p1, True)) + p3 = Piecewise( + (0, (x >= 0) | Eq(cos(x), 0)), + (1/cos(x), x < 0), + (zoo, True)) # redundant b/c all x are already covered + assert(piecewise_fold(p2) == p3) + + +def test_piecewise_fold_expand(): + p1 = Piecewise((1, Interval(0, 1, False, True).contains(x)), (0, True)) + + p2 = piecewise_fold(expand((1 - x)*p1)) + cond = ((x >= 0) & (x < 1)) + assert piecewise_fold(expand((1 - x)*p1), evaluate=False + ) == Piecewise((1 - x, cond), (-x, cond), (1, cond), (0, True), evaluate=False) + assert piecewise_fold(expand((1 - x)*p1), evaluate=None + ) == Piecewise((1 - x, cond), (0, True)) + assert p2 == Piecewise((1 - x, cond), (0, True)) + assert p2 == expand(piecewise_fold((1 - x)*p1)) + + +def test_piecewise_duplicate(): + p = Piecewise((x, x < -10), (x**2, x <= -1), (x, 1 < x)) + assert p == Piecewise(*p.args) + + +def test_doit(): + p1 = Piecewise((x, x < 1), (x**2, -1 <= x), (x, 3 < x)) + p2 = Piecewise((x, x < 1), (Integral(2 * x), -1 <= x), (x, 3 < x)) + assert p2.doit() == p1 + assert p2.doit(deep=False) == p2 + # issue 17165 + p1 = Sum(y**x, (x, -1, oo)).doit() + assert p1.doit() == p1 + + +def test_piecewise_interval(): + p1 = Piecewise((x, Interval(0, 1).contains(x)), (0, True)) + assert p1.subs(x, -0.5) == 0 + assert p1.subs(x, 0.5) == 0.5 + assert p1.diff(x) == Piecewise((1, Interval(0, 1).contains(x)), (0, True)) + assert integrate(p1, x) == Piecewise( + (0, x <= 0), + (x**2/2, x <= 1), + (S.Half, True)) + + +def test_piecewise_exclusive(): + p = Piecewise((0, x < 0), (S.Half, x <= 0), (1, True)) + assert piecewise_exclusive(p) == Piecewise((0, x < 0), (S.Half, Eq(x, 0)), + (1, x > 0), evaluate=False) + assert piecewise_exclusive(p + 2) == Piecewise((0, x < 0), (S.Half, Eq(x, 0)), + (1, x > 0), evaluate=False) + 2 + assert piecewise_exclusive(Piecewise((1, y <= 0), + (-Piecewise((2, y >= 0)), True))) == \ + Piecewise((1, y <= 0), + (-Piecewise((2, y >= 0), + (S.NaN, y < 0), evaluate=False), y > 0), evaluate=False) + assert piecewise_exclusive(Piecewise((1, x > y))) == Piecewise((1, x > y), + (S.NaN, x <= y), + evaluate=False) + assert piecewise_exclusive(Piecewise((1, x > y)), + skip_nan=True) == Piecewise((1, x > y)) + + xr, yr = symbols('xr, yr', real=True) + + p1 = Piecewise((1, xr < 0), (2, True), evaluate=False) + p1x = Piecewise((1, xr < 0), (2, xr >= 0), evaluate=False) + + p2 = Piecewise((p1, yr < 0), (3, True), evaluate=False) + p2x = Piecewise((p1, yr < 0), (3, yr >= 0), evaluate=False) + p2xx = Piecewise((p1x, yr < 0), (3, yr >= 0), evaluate=False) + + assert piecewise_exclusive(p2) == p2xx + assert piecewise_exclusive(p2, deep=False) == p2x + + +def test_piecewise_collapse(): + assert Piecewise((x, True)) == x + a = x < 1 + assert Piecewise((x, a), (x + 1, a)) == Piecewise((x, a)) + assert Piecewise((x, a), (x + 1, a.reversed)) == Piecewise((x, a)) + b = x < 5 + def canonical(i): + if isinstance(i, Piecewise): + return Piecewise(*i.args) + return i + for args in [ + ((1, a), (Piecewise((2, a), (3, b)), b)), + ((1, a), (Piecewise((2, a), (3, b.reversed)), b)), + ((1, a), (Piecewise((2, a), (3, b)), b), (4, True)), + ((1, a), (Piecewise((2, a), (3, b), (4, True)), b)), + ((1, a), (Piecewise((2, a), (3, b), (4, True)), b), (5, True))]: + for i in (0, 2, 10): + assert canonical( + Piecewise(*args, evaluate=False).subs(x, i) + ) == canonical(Piecewise(*args).subs(x, i)) + r1, r2, r3, r4 = symbols('r1:5') + a = x < r1 + b = x < r2 + c = x < r3 + d = x < r4 + assert Piecewise((1, a), (Piecewise( + (2, a), (3, b), (4, c)), b), (5, c) + ) == Piecewise((1, a), (3, b), (5, c)) + assert Piecewise((1, a), (Piecewise( + (2, a), (3, b), (4, c), (6, True)), c), (5, d) + ) == Piecewise((1, a), (Piecewise( + (3, b), (4, c)), c), (5, d)) + assert Piecewise((1, Or(a, d)), (Piecewise( + (2, d), (3, b), (4, c)), b), (5, c) + ) == Piecewise((1, Or(a, d)), (Piecewise( + (2, d), (3, b)), b), (5, c)) + assert Piecewise((1, c), (2, ~c), (3, S.true) + ) == Piecewise((1, c), (2, S.true)) + assert Piecewise((1, c), (2, And(~c, b)), (3,True) + ) == Piecewise((1, c), (2, b), (3, True)) + assert Piecewise((1, c), (2, Or(~c, b)), (3,True) + ).subs(dict(zip((r1, r2, r3, r4, x), (1, 2, 3, 4, 3.5)))) == 2 + assert Piecewise((1, c), (2, ~c)) == Piecewise((1, c), (2, True)) + + +def test_piecewise_lambdify(): + p = Piecewise( + (x**2, x < 0), + (x, Interval(0, 1, False, True).contains(x)), + (2 - x, x >= 1), + (0, True) + ) + + f = lambdify(x, p) + assert f(-2.0) == 4.0 + assert f(0.0) == 0.0 + assert f(0.5) == 0.5 + assert f(2.0) == 0.0 + + +def test_piecewise_series(): + from sympy.series.order import O + p1 = Piecewise((sin(x), x < 0), (cos(x), x > 0)) + p2 = Piecewise((x + O(x**2), x < 0), (1 + O(x**2), x > 0)) + assert p1.nseries(x, n=2) == p2 + + +def test_piecewise_as_leading_term(): + p1 = Piecewise((1/x, x > 1), (0, True)) + p2 = Piecewise((x, x > 1), (0, True)) + p3 = Piecewise((1/x, x > 1), (x, True)) + p4 = Piecewise((x, x > 1), (1/x, True)) + p5 = Piecewise((1/x, x > 1), (x, True)) + p6 = Piecewise((1/x, x < 1), (x, True)) + p7 = Piecewise((x, x < 1), (1/x, True)) + p8 = Piecewise((x, x > 1), (1/x, True)) + assert p1.as_leading_term(x) == 0 + assert p2.as_leading_term(x) == 0 + assert p3.as_leading_term(x) == x + assert p4.as_leading_term(x) == 1/x + assert p5.as_leading_term(x) == x + assert p6.as_leading_term(x) == 1/x + assert p7.as_leading_term(x) == x + assert p8.as_leading_term(x) == 1/x + + +def test_piecewise_complex(): + p1 = Piecewise((2, x < 0), (1, 0 <= x)) + p2 = Piecewise((2*I, x < 0), (I, 0 <= x)) + p3 = Piecewise((I*x, x > 1), (1 + I, True)) + p4 = Piecewise((-I*conjugate(x), x > 1), (1 - I, True)) + + assert conjugate(p1) == p1 + assert conjugate(p2) == piecewise_fold(-p2) + assert conjugate(p3) == p4 + + assert p1.is_imaginary is False + assert p1.is_real is True + assert p2.is_imaginary is True + assert p2.is_real is False + assert p3.is_imaginary is None + assert p3.is_real is None + + assert p1.as_real_imag() == (p1, 0) + assert p2.as_real_imag() == (0, -I*p2) + + +def test_conjugate_transpose(): + A, B = symbols("A B", commutative=False) + p = Piecewise((A*B**2, x > 0), (A**2*B, True)) + assert p.adjoint() == \ + Piecewise((adjoint(A*B**2), x > 0), (adjoint(A**2*B), True)) + assert p.conjugate() == \ + Piecewise((conjugate(A*B**2), x > 0), (conjugate(A**2*B), True)) + assert p.transpose() == \ + Piecewise((transpose(A*B**2), x > 0), (transpose(A**2*B), True)) + + +def test_piecewise_evaluate(): + assert Piecewise((x, True)) == x + assert Piecewise((x, True), evaluate=True) == x + assert Piecewise((1, Eq(1, x))).args == ((1, Eq(x, 1)),) + assert Piecewise((1, Eq(1, x)), evaluate=False).args == ( + (1, Eq(1, x)),) + # like the additive and multiplicative identities that + # cannot be kept in Add/Mul, we also do not keep a single True + p = Piecewise((x, True), evaluate=False) + assert p == x + + +def test_as_expr_set_pairs(): + assert Piecewise((x, x > 0), (-x, x <= 0)).as_expr_set_pairs() == \ + [(x, Interval(0, oo, True, True)), (-x, Interval(-oo, 0))] + + assert Piecewise(((x - 2)**2, x >= 0), (0, True)).as_expr_set_pairs() == \ + [((x - 2)**2, Interval(0, oo)), (0, Interval(-oo, 0, True, True))] + + +def test_S_srepr_is_identity(): + p = Piecewise((10, Eq(x, 0)), (12, True)) + q = S(srepr(p)) + assert p == q + + +def test_issue_12587(): + # sort holes into intervals + p = Piecewise((1, x > 4), (2, Not((x <= 3) & (x > -1))), (3, True)) + assert p.integrate((x, -5, 5)) == 23 + p = Piecewise((1, x > 1), (2, x < y), (3, True)) + lim = x, -3, 3 + ans = p.integrate(lim) + for i in range(-1, 3): + assert ans.subs(y, i) == p.subs(y, i).integrate(lim) + + +def test_issue_11045(): + assert integrate(1/(x*sqrt(x**2 - 1)), (x, 1, 2)) == pi/3 + + # handle And with Or arguments + assert Piecewise((1, And(Or(x < 1, x > 3), x < 2)), (0, True) + ).integrate((x, 0, 3)) == 1 + + # hidden false + assert Piecewise((1, x > 1), (2, x > x + 1), (3, True) + ).integrate((x, 0, 3)) == 5 + # targetcond is Eq + assert Piecewise((1, x > 1), (2, Eq(1, x)), (3, True) + ).integrate((x, 0, 4)) == 6 + # And has Relational needing to be solved + assert Piecewise((1, And(2*x > x + 1, x < 2)), (0, True) + ).integrate((x, 0, 3)) == 1 + # Or has Relational needing to be solved + assert Piecewise((1, Or(2*x > x + 2, x < 1)), (0, True) + ).integrate((x, 0, 3)) == 2 + # ignore hidden false (handled in canonicalization) + assert Piecewise((1, x > 1), (2, x > x + 1), (3, True) + ).integrate((x, 0, 3)) == 5 + # watch for hidden True Piecewise + assert Piecewise((2, Eq(1 - x, x*(1/x - 1))), (0, True) + ).integrate((x, 0, 3)) == 6 + + # overlapping conditions of targetcond are recognized and ignored; + # the condition x > 3 will be pre-empted by the first condition + assert Piecewise((1, Or(x < 1, x > 2)), (2, x > 3), (3, True) + ).integrate((x, 0, 4)) == 6 + + # convert Ne to Or + assert Piecewise((1, Ne(x, 0)), (2, True) + ).integrate((x, -1, 1)) == 2 + + # no default but well defined + assert Piecewise((x, (x > 1) & (x < 3)), (1, (x < 4)) + ).integrate((x, 1, 4)) == 5 + + p = Piecewise((x, (x > 1) & (x < 3)), (1, (x < 4))) + nan = Undefined + i = p.integrate((x, 1, y)) + assert i == Piecewise( + (y - 1, y < 1), + (Min(3, y)**2/2 - Min(3, y) + Min(4, y) - S.Half, + y <= Min(4, y)), + (nan, True)) + assert p.integrate((x, 1, -1)) == i.subs(y, -1) + assert p.integrate((x, 1, 4)) == 5 + assert p.integrate((x, 1, 5)) is nan + + # handle Not + p = Piecewise((1, x > 1), (2, Not(And(x > 1, x< 3))), (3, True)) + assert p.integrate((x, 0, 3)) == 4 + + # handle updating of int_expr when there is overlap + p = Piecewise( + (1, And(5 > x, x > 1)), + (2, Or(x < 3, x > 7)), + (4, x < 8)) + assert p.integrate((x, 0, 10)) == 20 + + # And with Eq arg handling + assert Piecewise((1, x < 1), (2, And(Eq(x, 3), x > 1)) + ).integrate((x, 0, 3)) is S.NaN + assert Piecewise((1, x < 1), (2, And(Eq(x, 3), x > 1)), (3, True) + ).integrate((x, 0, 3)) == 7 + assert Piecewise((1, x < 0), (2, And(Eq(x, 3), x < 1)), (3, True) + ).integrate((x, -1, 1)) == 4 + # middle condition doesn't matter: it's a zero width interval + assert Piecewise((1, x < 1), (2, Eq(x, 3) & (y < x)), (3, True) + ).integrate((x, 0, 3)) == 7 + + +def test_holes(): + nan = Undefined + assert Piecewise((1, x < 2)).integrate(x) == Piecewise( + (x, x < 2), (nan, True)) + assert Piecewise((1, And(x > 1, x < 2))).integrate(x) == Piecewise( + (nan, x < 1), (x, x < 2), (nan, True)) + assert Piecewise((1, And(x > 1, x < 2))).integrate((x, 0, 3)) is nan + assert Piecewise((1, And(x > 0, x < 4))).integrate((x, 1, 3)) == 2 + + # this also tests that the integrate method is used on non-Piecwise + # arguments in _eval_integral + A, B = symbols("A B") + a, b = symbols('a b', real=True) + assert Piecewise((A, And(x < 0, a < 1)), (B, Or(x < 1, a > 2)) + ).integrate(x) == Piecewise( + (B*x, (a > 2)), + (Piecewise((A*x, x < 0), (B*x, x < 1), (nan, True)), a < 1), + (Piecewise((B*x, x < 1), (nan, True)), True)) + + +def test_issue_11922(): + def f(x): + return Piecewise((0, x < -1), (1 - x**2, x < 1), (0, True)) + autocorr = lambda k: ( + f(x) * f(x + k)).integrate((x, -1, 1)) + assert autocorr(1.9) > 0 + k = symbols('k') + good_autocorr = lambda k: ( + (1 - x**2) * f(x + k)).integrate((x, -1, 1)) + a = good_autocorr(k) + assert a.subs(k, 3) == 0 + k = symbols('k', positive=True) + a = good_autocorr(k) + assert a.subs(k, 3) == 0 + assert Piecewise((0, x < 1), (10, (x >= 1)) + ).integrate() == Piecewise((0, x < 1), (10*x - 10, True)) + + +def test_issue_5227(): + f = 0.0032513612725229*Piecewise((0, x < -80.8461538461539), + (-0.0160799238820171*x + 1.33215984776403, x < 2), + (Piecewise((0.3, x > 123), (0.7, True)) + + Piecewise((0.4, x > 2), (0.6, True)), x <= + 123), (-0.00817409766454352*x + 2.10541401273885, x < + 380.571428571429), (0, True)) + i = integrate(f, (x, -oo, oo)) + assert i == Integral(f, (x, -oo, oo)).doit() + assert str(i) == '1.00195081676351' + assert Piecewise((1, x - y < 0), (0, True) + ).integrate(y) == Piecewise((0, y <= x), (-x + y, True)) + + +def test_issue_10137(): + a = Symbol('a', real=True) + b = Symbol('b', real=True) + x = Symbol('x', real=True) + y = Symbol('y', real=True) + p0 = Piecewise((0, Or(x < a, x > b)), (1, True)) + p1 = Piecewise((0, Or(a > x, b < x)), (1, True)) + assert integrate(p0, (x, y, oo)) == integrate(p1, (x, y, oo)) + p3 = Piecewise((1, And(0 < x, x < a)), (0, True)) + p4 = Piecewise((1, And(a > x, x > 0)), (0, True)) + ip3 = integrate(p3, x) + assert ip3 == Piecewise( + (0, x <= 0), + (x, x <= Max(0, a)), + (Max(0, a), True)) + ip4 = integrate(p4, x) + assert ip4 == ip3 + assert p3.integrate((x, 2, 4)) == Min(4, Max(2, a)) - 2 + assert p4.integrate((x, 2, 4)) == Min(4, Max(2, a)) - 2 + + +def test_stackoverflow_43852159(): + f = lambda x: Piecewise((1, (x >= -1) & (x <= 1)), (0, True)) + Conv = lambda x: integrate(f(x - y)*f(y), (y, -oo, +oo)) + cx = Conv(x) + assert cx.subs(x, -1.5) == cx.subs(x, 1.5) + assert cx.subs(x, 3) == 0 + assert piecewise_fold(f(x - y)*f(y)) == Piecewise( + (1, (y >= -1) & (y <= 1) & (x - y >= -1) & (x - y <= 1)), + (0, True)) + + +def test_issue_12557(): + ''' + # 3200 seconds to compute the fourier part of issue + import sympy as sym + x,y,z,t = sym.symbols('x y z t') + k = sym.symbols("k", integer=True) + fourier = sym.fourier_series(sym.cos(k*x)*sym.sqrt(x**2), + (x, -sym.pi, sym.pi)) + assert fourier == FourierSeries( + sqrt(x**2)*cos(k*x), (x, -pi, pi), (Piecewise((pi**2, + Eq(k, 0)), (2*(-1)**k/k**2 - 2/k**2, True))/(2*pi), + SeqFormula(Piecewise((pi**2, (Eq(_n, 0) & Eq(k, 0)) | (Eq(_n, 0) & + Eq(_n, k) & Eq(k, 0)) | (Eq(_n, 0) & Eq(k, 0) & Eq(_n, -k)) | (Eq(_n, + 0) & Eq(_n, k) & Eq(k, 0) & Eq(_n, -k))), (pi**2/2, Eq(_n, k) | Eq(_n, + -k) | (Eq(_n, 0) & Eq(_n, k)) | (Eq(_n, k) & Eq(k, 0)) | (Eq(_n, 0) & + Eq(_n, -k)) | (Eq(_n, k) & Eq(_n, -k)) | (Eq(k, 0) & Eq(_n, -k)) | + (Eq(_n, 0) & Eq(_n, k) & Eq(_n, -k)) | (Eq(_n, k) & Eq(k, 0) & Eq(_n, + -k))), ((-1)**k*pi**2*_n**3*sin(pi*_n)/(pi*_n**4 - 2*pi*_n**2*k**2 + + pi*k**4) - (-1)**k*pi**2*_n**3*sin(pi*_n)/(-pi*_n**4 + 2*pi*_n**2*k**2 + - pi*k**4) + (-1)**k*pi*_n**2*cos(pi*_n)/(pi*_n**4 - 2*pi*_n**2*k**2 + + pi*k**4) - (-1)**k*pi*_n**2*cos(pi*_n)/(-pi*_n**4 + 2*pi*_n**2*k**2 - + pi*k**4) - (-1)**k*pi**2*_n*k**2*sin(pi*_n)/(pi*_n**4 - + 2*pi*_n**2*k**2 + pi*k**4) + + (-1)**k*pi**2*_n*k**2*sin(pi*_n)/(-pi*_n**4 + 2*pi*_n**2*k**2 - + pi*k**4) + (-1)**k*pi*k**2*cos(pi*_n)/(pi*_n**4 - 2*pi*_n**2*k**2 + + pi*k**4) - (-1)**k*pi*k**2*cos(pi*_n)/(-pi*_n**4 + 2*pi*_n**2*k**2 - + pi*k**4) - (2*_n**2 + 2*k**2)/(_n**4 - 2*_n**2*k**2 + k**4), + True))*cos(_n*x)/pi, (_n, 1, oo)), SeqFormula(0, (_k, 1, oo)))) + ''' + x = symbols("x", real=True) + k = symbols('k', integer=True, finite=True) + abs2 = lambda x: Piecewise((-x, x <= 0), (x, x > 0)) + assert integrate(abs2(x), (x, -pi, pi)) == pi**2 + func = cos(k*x)*sqrt(x**2) + assert integrate(func, (x, -pi, pi)) == Piecewise( + (2*(-1)**k/k**2 - 2/k**2, Ne(k, 0)), (pi**2, True)) + +def test_issue_6900(): + from itertools import permutations + t0, t1, T, t = symbols('t0, t1 T t') + f = Piecewise((0, t < t0), (x, And(t0 <= t, t < t1)), (0, t >= t1)) + g = f.integrate(t) + assert g == Piecewise( + (0, t <= t0), + (t*x - t0*x, t <= Max(t0, t1)), + (-t0*x + x*Max(t0, t1), True)) + for i in permutations(range(2)): + reps = dict(zip((t0,t1), i)) + for tt in range(-1,3): + assert (g.xreplace(reps).subs(t,tt) == + f.xreplace(reps).integrate(t).subs(t,tt)) + lim = Tuple(t, t0, T) + g = f.integrate(lim) + ans = Piecewise( + (-t0*x + x*Min(T, Max(t0, t1)), T > t0), + (0, True)) + for i in permutations(range(3)): + reps = dict(zip((t0,t1,T), i)) + tru = f.xreplace(reps).integrate(lim.xreplace(reps)) + assert tru == ans.xreplace(reps) + assert g == ans + + +def test_issue_10122(): + assert solve(abs(x) + abs(x - 1) - 1 > 0, x + ) == Or(And(-oo < x, x < S.Zero), And(S.One < x, x < oo)) + + +def test_issue_4313(): + u = Piecewise((0, x <= 0), (1, x >= a), (x/a, True)) + e = (u - u.subs(x, y))**2/(x - y)**2 + M = Max(0, a) + assert integrate(e, x).expand() == Piecewise( + (Piecewise( + (0, x <= 0), + (-y**2/(a**2*x - a**2*y) + x/a**2 - 2*y*log(-y)/a**2 + + 2*y*log(x - y)/a**2 - y/a**2, x <= M), + (-y**2/(-a**2*y + a**2*M) + 1/(-y + M) - + 1/(x - y) - 2*y*log(-y)/a**2 + 2*y*log(-y + + M)/a**2 - y/a**2 + M/a**2, True)), + ((a <= y) & (y <= 0)) | ((y <= 0) & (y > -oo))), + (Piecewise( + (-1/(x - y), x <= 0), + (-a**2/(a**2*x - a**2*y) + 2*a*y/(a**2*x - a**2*y) - + y**2/(a**2*x - a**2*y) + 2*log(-y)/a - 2*log(x - y)/a + + 2/a + x/a**2 - 2*y*log(-y)/a**2 + 2*y*log(x - y)/a**2 - + y/a**2, x <= M), + (-a**2/(-a**2*y + a**2*M) + 2*a*y/(-a**2*y + + a**2*M) - y**2/(-a**2*y + a**2*M) + + 2*log(-y)/a - 2*log(-y + M)/a + 2/a - + 2*y*log(-y)/a**2 + 2*y*log(-y + M)/a**2 - + y/a**2 + M/a**2, True)), + a <= y), + (Piecewise( + (-y**2/(a**2*x - a**2*y), x <= 0), + (x/a**2 + y/a**2, x <= M), + (a**2/(-a**2*y + a**2*M) - + a**2/(a**2*x - a**2*y) - 2*a*y/(-a**2*y + a**2*M) + + 2*a*y/(a**2*x - a**2*y) + y**2/(-a**2*y + a**2*M) - + y**2/(a**2*x - a**2*y) + y/a**2 + M/a**2, True)), + True)) + + +def test__intervals(): + assert Piecewise((x + 2, Eq(x, 3)))._intervals(x) == (True, []) + assert Piecewise( + (1, x > x + 1), + (Piecewise((1, x < x + 1)), 2*x < 2*x + 1), + (1, True))._intervals(x) == (True, [(-oo, oo, 1, 1)]) + assert Piecewise((1, Ne(x, I)), (0, True))._intervals(x) == (True, + [(-oo, oo, 1, 0)]) + assert Piecewise((-cos(x), sin(x) >= 0), (cos(x), True) + )._intervals(x) == (True, + [(0, pi, -cos(x), 0), (-oo, oo, cos(x), 1)]) + # the following tests that duplicates are removed and that non-Eq + # generated zero-width intervals are removed + assert Piecewise((1, Abs(x**(-2)) > 1), (0, True) + )._intervals(x) == (True, + [(-1, 0, 1, 0), (0, 1, 1, 0), (-oo, oo, 0, 1)]) + + +def test_containment(): + a, b, c, d, e = [1, 2, 3, 4, 5] + p = (Piecewise((d, x > 1), (e, True))* + Piecewise((a, Abs(x - 1) < 1), (b, Abs(x - 2) < 2), (c, True))) + assert p.integrate(x).diff(x) == Piecewise( + (c*e, x <= 0), + (a*e, x <= 1), + (a*d, x < 2), # this is what we want to get right + (b*d, x < 4), + (c*d, True)) + + +def test_piecewise_with_DiracDelta(): + d1 = DiracDelta(x - 1) + assert integrate(d1, (x, -oo, oo)) == 1 + assert integrate(d1, (x, 0, 2)) == 1 + assert Piecewise((d1, Eq(x, 2)), (0, True)).integrate(x) == 0 + assert Piecewise((d1, x < 2), (0, True)).integrate(x) == Piecewise( + (Heaviside(x - 1), x < 2), (1, True)) + # TODO raise error if function is discontinuous at limit of + # integration, e.g. integrate(d1, (x, -2, 1)) or Piecewise( + # (d1, Eq(x, 1) + + +def test_issue_10258(): + assert Piecewise((0, x < 1), (1, True)).is_zero is None + assert Piecewise((-1, x < 1), (1, True)).is_zero is False + a = Symbol('a', zero=True) + assert Piecewise((0, x < 1), (a, True)).is_zero + assert Piecewise((1, x < 1), (a, x < 3)).is_zero is None + a = Symbol('a') + assert Piecewise((0, x < 1), (a, True)).is_zero is None + assert Piecewise((0, x < 1), (1, True)).is_nonzero is None + assert Piecewise((1, x < 1), (2, True)).is_nonzero + assert Piecewise((0, x < 1), (oo, True)).is_finite is None + assert Piecewise((0, x < 1), (1, True)).is_finite + b = Basic() + assert Piecewise((b, x < 1)).is_finite is None + + # 10258 + c = Piecewise((1, x < 0), (2, True)) < 3 + assert c != True + assert piecewise_fold(c) == True + + +def test_issue_10087(): + a, b = Piecewise((x, x > 1), (2, True)), Piecewise((x, x > 3), (3, True)) + m = a*b + f = piecewise_fold(m) + for i in (0, 2, 4): + assert m.subs(x, i) == f.subs(x, i) + m = a + b + f = piecewise_fold(m) + for i in (0, 2, 4): + assert m.subs(x, i) == f.subs(x, i) + + +def test_issue_8919(): + c = symbols('c:5') + x = symbols("x") + f1 = Piecewise((c[1], x < 1), (c[2], True)) + f2 = Piecewise((c[3], x < Rational(1, 3)), (c[4], True)) + assert integrate(f1*f2, (x, 0, 2) + ) == c[1]*c[3]/3 + 2*c[1]*c[4]/3 + c[2]*c[4] + f1 = Piecewise((0, x < 1), (2, True)) + f2 = Piecewise((3, x < 2), (0, True)) + assert integrate(f1*f2, (x, 0, 3)) == 6 + + y = symbols("y", positive=True) + a, b, c, x, z = symbols("a,b,c,x,z", real=True) + I = Integral(Piecewise( + (0, (x >= y) | (x < 0) | (b > c)), + (a, True)), (x, 0, z)) + ans = I.doit() + assert ans == Piecewise((0, b > c), (a*Min(y, z) - a*Min(0, z), True)) + for cond in (True, False): + for yy in range(1, 3): + for zz in range(-yy, 0, yy): + reps = [(b > c, cond), (y, yy), (z, zz)] + assert ans.subs(reps) == I.subs(reps).doit() + + +def test_unevaluated_integrals(): + f = Function('f') + p = Piecewise((1, Eq(f(x) - 1, 0)), (2, x - 10 < 0), (0, True)) + assert p.integrate(x) == Integral(p, x) + assert p.integrate((x, 0, 5)) == Integral(p, (x, 0, 5)) + # test it by replacing f(x) with x%2 which will not + # affect the answer: the integrand is essentially 2 over + # the domain of integration + assert Integral(p, (x, 0, 5)).subs(f(x), x%2).n() == 10.0 + + # this is a test of using _solve_inequality when + # solve_univariate_inequality fails + assert p.integrate(y) == Piecewise( + (y, Eq(f(x), 1) | ((x < 10) & Eq(f(x), 1))), + (2*y, (x > -oo) & (x < 10)), (0, True)) + + +def test_conditions_as_alternate_booleans(): + a, b, c = symbols('a:c') + assert Piecewise((x, Piecewise((y < 1, x > 0), (y > 1, True))) + ) == Piecewise((x, ITE(x > 0, y < 1, y > 1))) + + +def test_Piecewise_rewrite_as_ITE(): + a, b, c, d = symbols('a:d') + + def _ITE(*args): + return Piecewise(*args).rewrite(ITE) + + assert _ITE((a, x < 1), (b, x >= 1)) == ITE(x < 1, a, b) + assert _ITE((a, x < 1), (b, x < oo)) == ITE(x < 1, a, b) + assert _ITE((a, x < 1), (b, Or(y < 1, x < oo)), (c, y > 0) + ) == ITE(x < 1, a, b) + assert _ITE((a, x < 1), (b, True)) == ITE(x < 1, a, b) + assert _ITE((a, x < 1), (b, x < 2), (c, True) + ) == ITE(x < 1, a, ITE(x < 2, b, c)) + assert _ITE((a, x < 1), (b, y < 2), (c, True) + ) == ITE(x < 1, a, ITE(y < 2, b, c)) + assert _ITE((a, x < 1), (b, x < oo), (c, y < 1) + ) == ITE(x < 1, a, b) + assert _ITE((a, x < 1), (c, y < 1), (b, x < oo), (d, True) + ) == ITE(x < 1, a, ITE(y < 1, c, b)) + assert _ITE((a, x < 0), (b, Or(x < oo, y < 1)) + ) == ITE(x < 0, a, b) + raises(TypeError, lambda: _ITE((x + 1, x < 1), (x, True))) + # if `a` in the following were replaced with y then the coverage + # is complete but something other than as_set would need to be + # used to detect this + raises(NotImplementedError, lambda: _ITE((x, x < y), (y, x >= a))) + raises(ValueError, lambda: _ITE((a, x < 2), (b, x > 3))) + + +def test_Piecewise_replace_relational_27538(): + x, y = symbols('x, y') + p1 = Piecewise( + (0, Eq(x, True)), + (1, True), + ) + p2 = p1.xreplace({x: y < 1}) + assert p2.subs(y, 0) == 0 + assert p2.subs(y, 1) == 1 + + +def test_issue_14052(): + assert integrate(abs(sin(x)), (x, 0, 2*pi)) == 4 + + +def test_issue_14240(): + assert piecewise_fold( + Piecewise((1, a), (2, b), (4, True)) + + Piecewise((8, a), (16, True)) + ) == Piecewise((9, a), (18, b), (20, True)) + assert piecewise_fold( + Piecewise((2, a), (3, b), (5, True)) * + Piecewise((7, a), (11, True)) + ) == Piecewise((14, a), (33, b), (55, True)) + # these will hang if naive folding is used + assert piecewise_fold(Add(*[ + Piecewise((i, a), (0, True)) for i in range(40)]) + ) == Piecewise((780, a), (0, True)) + assert piecewise_fold(Mul(*[ + Piecewise((i, a), (0, True)) for i in range(1, 41)]) + ) == Piecewise((factorial(40), a), (0, True)) + + +def test_issue_14787(): + x = Symbol('x') + f = Piecewise((x, x < 1), ((S(58) / 7), True)) + assert str(f.evalf()) == "Piecewise((x, x < 1), (8.28571428571429, True))" + +def test_issue_21481(): + b, e = symbols('b e') + C = Piecewise( + (2, + ((b > 1) & (e > 0)) | + ((b > 0) & (b < 1) & (e < 0)) | + ((e >= 2) & (b < -1) & Eq(Mod(e, 2), 0)) | + ((e <= -2) & (b > -1) & (b < 0) & Eq(Mod(e, 2), 0))), + (S.Half, + ((b > 1) & (e < 0)) | + ((b > 0) & (e > 0) & (b < 1)) | + ((e <= -2) & (b < -1) & Eq(Mod(e, 2), 0)) | + ((e >= 2) & (b > -1) & (b < 0) & Eq(Mod(e, 2), 0))), + (-S.Half, + Eq(Mod(e, 2), 1) & + (((e <= -1) & (b < -1)) | ((e >= 1) & (b > -1) & (b < 0)))), + (-2, + ((e >= 1) & (b < -1) & Eq(Mod(e, 2), 1)) | + ((e <= -1) & (b > -1) & (b < 0) & Eq(Mod(e, 2), 1))) + ) + A = Piecewise( + (1, Eq(b, 1) | Eq(e, 0) | (Eq(b, -1) & Eq(Mod(e, 2), 0))), + (0, Eq(b, 0) & (e > 0)), + (-1, Eq(b, -1) & Eq(Mod(e, 2), 1)), + (C, Eq(im(b), 0) & Eq(im(e), 0)) + ) + + B = piecewise_fold(A) + sa = A.simplify() + sb = B.simplify() + v = (-2, -1, -S.Half, 0, S.Half, 1, 2) + for i in v: + for j in v: + r = {b:i, e:j} + ok = [k.xreplace(r) for k in (A, B, sa, sb)] + assert len(set(ok)) == 1 + + +def test_issue_8458(): + x, y = symbols('x y') + # Original issue + p1 = Piecewise((0, Eq(x, 0)), (sin(x), True)) + assert p1.simplify() == sin(x) + # Slightly larger variant + p2 = Piecewise((x, Eq(x, 0)), (4*x + (y-2)**4, Eq(x, 0) & Eq(x+y, 2)), (sin(x), True)) + assert p2.simplify() == sin(x) + # Test for problem highlighted during review + p3 = Piecewise((x+1, Eq(x, -1)), (4*x + (y-2)**4, Eq(x, 0) & Eq(x+y, 2)), (sin(x), True)) + assert p3.simplify() == Piecewise((0, Eq(x, -1)), (sin(x), True)) + + +def test_issue_16417(): + z = Symbol('z') + assert unchanged(Piecewise, (1, Or(Eq(im(z), 0), Gt(re(z), 0))), (2, True)) + + x = Symbol('x') + assert unchanged(Piecewise, (S.Pi, re(x) < 0), + (0, Or(re(x) > 0, Ne(im(x), 0))), + (S.NaN, True)) + r = Symbol('r', real=True) + p = Piecewise((S.Pi, re(r) < 0), + (0, Or(re(r) > 0, Ne(im(r), 0))), + (S.NaN, True)) + assert p == Piecewise((S.Pi, r < 0), + (0, r > 0), + (S.NaN, True), evaluate=False) + # Does not work since imaginary != 0... + #i = Symbol('i', imaginary=True) + #p = Piecewise((S.Pi, re(i) < 0), + # (0, Or(re(i) > 0, Ne(im(i), 0))), + # (S.NaN, True)) + #assert p == Piecewise((0, Ne(im(i), 0)), + # (S.NaN, True), evaluate=False) + i = I*r + p = Piecewise((S.Pi, re(i) < 0), + (0, Or(re(i) > 0, Ne(im(i), 0))), + (S.NaN, True)) + assert p == Piecewise((0, Ne(im(i), 0)), + (S.NaN, True), evaluate=False) + assert p == Piecewise((0, Ne(r, 0)), + (S.NaN, True), evaluate=False) + + +def test_eval_rewrite_as_KroneckerDelta(): + x, y, z, n, t, m = symbols('x y z n t m') + K = KroneckerDelta + f = lambda p: expand(p.rewrite(K)) + + p1 = Piecewise((0, Eq(x, y)), (1, True)) + assert f(p1) == 1 - K(x, y) + + p2 = Piecewise((x, Eq(y,0)), (z, Eq(t,0)), (n, True)) + assert f(p2) == n*K(0, t)*K(0, y) - n*K(0, t) - n*K(0, y) + n + \ + x*K(0, y) - z*K(0, t)*K(0, y) + z*K(0, t) + + p3 = Piecewise((1, Ne(x, y)), (0, True)) + assert f(p3) == 1 - K(x, y) + + p4 = Piecewise((1, Eq(x, 3)), (4, True), (5, True)) + assert f(p4) == 4 - 3*K(3, x) + + p5 = Piecewise((3, Ne(x, 2)), (4, Eq(y, 2)), (5, True)) + assert f(p5) == -K(2, x)*K(2, y) + 2*K(2, x) + 3 + + p6 = Piecewise((0, Ne(x, 1) & Ne(y, 4)), (1, True)) + assert f(p6) == -K(1, x)*K(4, y) + K(1, x) + K(4, y) + + p7 = Piecewise((2, Eq(y, 3) & Ne(x, 2)), (1, True)) + assert f(p7) == -K(2, x)*K(3, y) + K(3, y) + 1 + + p8 = Piecewise((4, Eq(x, 3) & Ne(y, 2)), (1, True)) + assert f(p8) == -3*K(2, y)*K(3, x) + 3*K(3, x) + 1 + + p9 = Piecewise((6, Eq(x, 4) & Eq(y, 1)), (1, True)) + assert f(p9) == 5 * K(1, y) * K(4, x) + 1 + + p10 = Piecewise((4, Ne(x, -4) | Ne(y, 1)), (1, True)) + assert f(p10) == -3 * K(-4, x) * K(1, y) + 4 + + p11 = Piecewise((1, Eq(y, 2) | Ne(x, -3)), (2, True)) + assert f(p11) == -K(-3, x)*K(2, y) + K(-3, x) + 1 + + p12 = Piecewise((-1, Eq(x, 1) | Ne(y, 3)), (1, True)) + assert f(p12) == -2*K(1, x)*K(3, y) + 2*K(3, y) - 1 + + p13 = Piecewise((3, Eq(x, 2) | Eq(y, 4)), (1, True)) + assert f(p13) == -2*K(2, x)*K(4, y) + 2*K(2, x) + 2*K(4, y) + 1 + + p14 = Piecewise((1, Ne(x, 0) | Ne(y, 1)), (3, True)) + assert f(p14) == 2 * K(0, x) * K(1, y) + 1 + + p15 = Piecewise((2, Eq(x, 3) | Ne(y, 2)), (3, Eq(x, 4) & Eq(y, 5)), (1, True)) + assert f(p15) == -2*K(2, y)*K(3, x)*K(4, x)*K(5, y) + K(2, y)*K(3, x) + \ + 2*K(2, y)*K(4, x)*K(5, y) - K(2, y) + 2 + + p16 = Piecewise((0, Ne(m, n)), (1, True))*Piecewise((0, Ne(n, t)), (1, True))\ + *Piecewise((0, Ne(n, x)), (1, True)) - Piecewise((0, Ne(t, x)), (1, True)) + assert f(p16) == K(m, n)*K(n, t)*K(n, x) - K(t, x) + + p17 = Piecewise((0, Ne(t, x) & (Ne(m, n) | Ne(n, t) | Ne(n, x))), + (1, Ne(t, x)), (-1, Ne(m, n) | Ne(n, t) | Ne(n, x)), (0, True)) + assert f(p17) == K(m, n)*K(n, t)*K(n, x) - K(t, x) + + p18 = Piecewise((-4, Eq(y, 1) | (Eq(x, -5) & Eq(x, z))), (4, True)) + assert f(p18) == 8*K(-5, x)*K(1, y)*K(x, z) - 8*K(-5, x)*K(x, z) - 8*K(1, y) + 4 + + p19 = Piecewise((0, x > 2), (1, True)) + assert f(p19) == p19 + + p20 = Piecewise((0, And(x < 2, x > -5)), (1, True)) + assert f(p20) == p20 + + p21 = Piecewise((0, Or(x > 1, x < 0)), (1, True)) + assert f(p21) == p21 + + p22 = Piecewise((0, ~((Eq(y, -1) | Ne(x, 0)) & (Ne(x, 1) | Ne(y, -1)))), (1, True)) + assert f(p22) == K(-1, y)*K(0, x) - K(-1, y)*K(1, x) - K(0, x) + 1 + + +@slow +def test_identical_conds_issue(): + from sympy.stats import Uniform, density + u1 = Uniform('u1', 0, 1) + u2 = Uniform('u2', 0, 1) + # Result is quite big, so not really important here (and should ideally be + # simpler). Should not give an exception though. + density(u1 + u2) + + +def test_issue_7370(): + f = Piecewise((1, x <= 2400)) + v = integrate(f, (x, 0, Float("252.4", 30))) + assert str(v) == '252.400000000000000000000000000' + + +def test_issue_14933(): + x = Symbol('x') + y = Symbol('y') + + inp = MatrixSymbol('inp', 1, 1) + rep_dict = {y: inp[0, 0], x: inp[0, 0]} + + p = Piecewise((1, ITE(y > 0, x < 0, True))) + assert p.xreplace(rep_dict) == Piecewise((1, ITE(inp[0, 0] > 0, inp[0, 0] < 0, True))) + + +def test_issue_16715(): + raises(NotImplementedError, lambda: Piecewise((x, x<0), (0, y>1)).as_expr_set_pairs()) + + +def test_issue_20360(): + t, tau = symbols("t tau", real=True) + n = symbols("n", integer=True) + lam = pi * (n - S.Half) + eq = integrate(exp(lam * tau), (tau, 0, t)) + assert eq.simplify() == (2*exp(pi*t*(2*n - 1)/2) - 2)/(pi*(2*n - 1)) + + +def test_piecewise_eval(): + # XXX these tests might need modification if this + # simplification is moved out of eval and into + # boolalg or Piecewise simplification functions + f = lambda x: x.args[0].cond + # unsimplified + assert f(Piecewise((x, (x > -oo) & (x < 3))) + ) == ((x > -oo) & (x < 3)) + assert f(Piecewise((x, (x > -oo) & (x < oo))) + ) == ((x > -oo) & (x < oo)) + assert f(Piecewise((x, (x > -3) & (x < 3))) + ) == ((x > -3) & (x < 3)) + assert f(Piecewise((x, (x > -3) & (x < oo))) + ) == ((x > -3) & (x < oo)) + assert f(Piecewise((x, (x <= 3) & (x > -oo))) + ) == ((x <= 3) & (x > -oo)) + assert f(Piecewise((x, (x <= 3) & (x > -3))) + ) == ((x <= 3) & (x > -3)) + assert f(Piecewise((x, (x >= -3) & (x < 3))) + ) == ((x >= -3) & (x < 3)) + assert f(Piecewise((x, (x >= -3) & (x < oo))) + ) == ((x >= -3) & (x < oo)) + assert f(Piecewise((x, (x >= -3) & (x <= 3))) + ) == ((x >= -3) & (x <= 3)) + # could simplify by keeping only the first + # arg of result + assert f(Piecewise((x, (x <= oo) & (x > -oo))) + ) == (x > -oo) & (x <= oo) + assert f(Piecewise((x, (x <= oo) & (x > -3))) + ) == (x > -3) & (x <= oo) + assert f(Piecewise((x, (x >= -oo) & (x < 3))) + ) == (x < 3) & (x >= -oo) + assert f(Piecewise((x, (x >= -oo) & (x < oo))) + ) == (x < oo) & (x >= -oo) + assert f(Piecewise((x, (x >= -oo) & (x <= 3))) + ) == (x <= 3) & (x >= -oo) + assert f(Piecewise((x, (x >= -oo) & (x <= oo))) + ) == (x <= oo) & (x >= -oo) # but cannot be True unless x is real + assert f(Piecewise((x, (x >= -3) & (x <= oo))) + ) == (x >= -3) & (x <= oo) + assert f(Piecewise((x, (Abs(arg(a)) <= 1) | (Abs(arg(a)) < 1))) + ) == (Abs(arg(a)) <= 1) | (Abs(arg(a)) < 1) + + +def test_issue_22533(): + x = Symbol('x', real=True) + f = Piecewise((-1 / x, x <= 0), (1 / x, True)) + assert integrate(f, x) == Piecewise((-log(x), x <= 0), (log(x), True)) + + +def test_issue_24072(): + assert Piecewise((1, x > 1), (2, x <= 1), (3, x <= 1) + ) == Piecewise((1, x > 1), (2, True)) + + +def test_piecewise__eval_is_meromorphic(): + """ Issue 24127: Tests eval_is_meromorphic auxiliary method """ + x = symbols('x', real=True) + f = Piecewise((1, x < 0), (sqrt(1 - x), True)) + assert f.is_meromorphic(x, I) is None + assert f.is_meromorphic(x, -1) == True + assert f.is_meromorphic(x, 0) == None + assert f.is_meromorphic(x, 1) == False + assert f.is_meromorphic(x, 2) == True + assert f.is_meromorphic(x, Symbol('a')) == None + assert f.is_meromorphic(x, Symbol('a', real=True)) == None diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/tests/test_trigonometric.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/tests/test_trigonometric.py new file mode 100644 index 0000000000000000000000000000000000000000..815f424093aac72ee3a078d8ce62e5c195a625dc --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/tests/test_trigonometric.py @@ -0,0 +1,2236 @@ +from sympy.calculus.accumulationbounds import AccumBounds +from sympy.core.add import Add +from sympy.core.function import (Lambda, diff) +from sympy.core.mod import Mod +from sympy.core.mul import Mul +from sympy.core.numbers import (E, Float, I, Rational, nan, oo, pi, zoo) +from sympy.core.power import Pow +from sympy.core.singleton import S +from sympy.core.symbol import (Symbol, symbols) +from sympy.functions.elementary.complexes import (arg, conjugate, im, re) +from sympy.functions.elementary.exponential import (exp, log) +from sympy.functions.elementary.hyperbolic import (acoth, asinh, atanh, cosh, coth, sinh, tanh) +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.trigonometric import (acos, acot, acsc, asec, asin, atan, atan2, + cos, cot, csc, sec, sin, sinc, tan) +from sympy.functions.special.bessel import (besselj, jn) +from sympy.functions.special.delta_functions import Heaviside +from sympy.matrices.dense import Matrix +from sympy.polys.polytools import (cancel, gcd) +from sympy.series.limits import limit +from sympy.series.order import O +from sympy.series.series import series +from sympy.sets.fancysets import ImageSet +from sympy.sets.sets import (FiniteSet, Interval) +from sympy.simplify.simplify import simplify +from sympy.core.expr import unchanged +from sympy.core.function import ArgumentIndexError, PoleError +from sympy.core.relational import Ne, Eq +from sympy.functions.elementary.piecewise import Piecewise +from sympy.sets.setexpr import SetExpr +from sympy.testing.pytest import XFAIL, slow, raises + + +x, y, z = symbols('x y z') +r = Symbol('r', real=True) +k, m = symbols('k m', integer=True) +p = Symbol('p', positive=True) +n = Symbol('n', negative=True) +np = Symbol('p', nonpositive=True) +nn = Symbol('n', nonnegative=True) +nz = Symbol('nz', nonzero=True) +ep = Symbol('ep', extended_positive=True) +en = Symbol('en', extended_negative=True) +enp = Symbol('ep', extended_nonpositive=True) +enn = Symbol('en', extended_nonnegative=True) +enz = Symbol('enz', extended_nonzero=True) +a = Symbol('a', algebraic=True) +na = Symbol('na', nonzero=True, algebraic=True) + + +def test_sin(): + x, y = symbols('x y') + z = symbols('z', imaginary=True) + + assert sin.nargs == FiniteSet(1) + assert sin(nan) is nan + assert sin(zoo) is nan + + assert sin(oo) == AccumBounds(-1, 1) + assert sin(oo) - sin(oo) == AccumBounds(-2, 2) + assert sin(oo*I) == oo*I + assert sin(-oo*I) == -oo*I + assert 0*sin(oo) is S.Zero + assert 0/sin(oo) is S.Zero + assert 0 + sin(oo) == AccumBounds(-1, 1) + assert 5 + sin(oo) == AccumBounds(4, 6) + + assert sin(0) == 0 + + assert sin(z*I) == I*sinh(z) + assert sin(asin(x)) == x + assert sin(atan(x)) == x / sqrt(1 + x**2) + assert sin(acos(x)) == sqrt(1 - x**2) + assert sin(acot(x)) == 1 / (sqrt(1 + 1 / x**2) * x) + assert sin(acsc(x)) == 1 / x + assert sin(asec(x)) == sqrt(1 - 1 / x**2) + assert sin(atan2(y, x)) == y / sqrt(x**2 + y**2) + + assert sin(pi*I) == sinh(pi)*I + assert sin(-pi*I) == -sinh(pi)*I + assert sin(-2*I) == -sinh(2)*I + + assert sin(pi) == 0 + assert sin(-pi) == 0 + assert sin(2*pi) == 0 + assert sin(-2*pi) == 0 + assert sin(-3*10**73*pi) == 0 + assert sin(7*10**103*pi) == 0 + + assert sin(pi/2) == 1 + assert sin(-pi/2) == -1 + assert sin(pi*Rational(5, 2)) == 1 + assert sin(pi*Rational(7, 2)) == -1 + + ne = symbols('ne', integer=True, even=False) + e = symbols('e', even=True) + assert sin(pi*ne/2) == (-1)**(ne/2 - S.Half) + assert sin(pi*k/2).func == sin + assert sin(pi*e/2) == 0 + assert sin(pi*k) == 0 + assert sin(pi*k).subs(k, 3) == sin(pi*k/2).subs(k, 6) # issue 8298 + + assert sin(pi/3) == S.Half*sqrt(3) + assert sin(pi*Rational(-2, 3)) == Rational(-1, 2)*sqrt(3) + + assert sin(pi/4) == S.Half*sqrt(2) + assert sin(-pi/4) == Rational(-1, 2)*sqrt(2) + assert sin(pi*Rational(17, 4)) == S.Half*sqrt(2) + assert sin(pi*Rational(-3, 4)) == Rational(-1, 2)*sqrt(2) + + assert sin(pi/6) == S.Half + assert sin(-pi/6) == Rational(-1, 2) + assert sin(pi*Rational(7, 6)) == Rational(-1, 2) + assert sin(pi*Rational(-5, 6)) == Rational(-1, 2) + + assert sin(pi*Rational(1, 5)) == sqrt((5 - sqrt(5)) / 8) + assert sin(pi*Rational(2, 5)) == sqrt((5 + sqrt(5)) / 8) + assert sin(pi*Rational(3, 5)) == sin(pi*Rational(2, 5)) + assert sin(pi*Rational(4, 5)) == sin(pi*Rational(1, 5)) + assert sin(pi*Rational(6, 5)) == -sin(pi*Rational(1, 5)) + assert sin(pi*Rational(8, 5)) == -sin(pi*Rational(2, 5)) + + assert sin(pi*Rational(-1273, 5)) == -sin(pi*Rational(2, 5)) + + assert sin(pi/8) == sqrt((2 - sqrt(2))/4) + + assert sin(pi/10) == Rational(-1, 4) + sqrt(5)/4 + + assert sin(pi/12) == -sqrt(2)/4 + sqrt(6)/4 + assert sin(pi*Rational(5, 12)) == sqrt(2)/4 + sqrt(6)/4 + assert sin(pi*Rational(-7, 12)) == -sqrt(2)/4 - sqrt(6)/4 + assert sin(pi*Rational(-11, 12)) == sqrt(2)/4 - sqrt(6)/4 + + assert sin(pi*Rational(104, 105)) == sin(pi/105) + assert sin(pi*Rational(106, 105)) == -sin(pi/105) + + assert sin(pi*Rational(-104, 105)) == -sin(pi/105) + assert sin(pi*Rational(-106, 105)) == sin(pi/105) + + assert sin(x*I) == sinh(x)*I + + assert sin(k*pi) == 0 + assert sin(17*k*pi) == 0 + assert sin(2*k*pi + 4) == sin(4) + assert sin(2*k*pi + m*pi + 1) == (-1)**(m + 2*k)*sin(1) + + assert sin(k*pi*I) == sinh(k*pi)*I + + assert sin(r).is_real is True + + assert sin(0, evaluate=False).is_algebraic + assert sin(a).is_algebraic is None + assert sin(na).is_algebraic is False + q = Symbol('q', rational=True) + assert sin(pi*q).is_algebraic + qn = Symbol('qn', rational=True, nonzero=True) + assert sin(qn).is_rational is False + assert sin(q).is_rational is None # issue 8653 + + assert isinstance(sin( re(x) - im(y)), sin) is True + assert isinstance(sin(-re(x) + im(y)), sin) is False + + assert sin(SetExpr(Interval(0, 1))) == SetExpr(ImageSet(Lambda(x, sin(x)), + Interval(0, 1))) + + for d in list(range(1, 22)) + [60, 85]: + for n in range(d*2 + 1): + x = n*pi/d + e = abs( float(sin(x)) - sin(float(x)) ) + assert e < 1e-12 + + assert sin(0, evaluate=False).is_zero is True + assert sin(k*pi, evaluate=False).is_zero is True + + assert sin(Add(1, -1, evaluate=False), evaluate=False).is_zero is True + + +def test_sin_cos(): + for d in [1, 2, 3, 4, 5, 6, 10, 12, 15, 20, 24, 30, 40, 60, 120]: # list is not exhaustive... + for n in range(-2*d, d*2): + x = n*pi/d + assert sin(x + pi/2) == cos(x), "fails for %d*pi/%d" % (n, d) + assert sin(x - pi/2) == -cos(x), "fails for %d*pi/%d" % (n, d) + assert sin(x) == cos(x - pi/2), "fails for %d*pi/%d" % (n, d) + assert -sin(x) == cos(x + pi/2), "fails for %d*pi/%d" % (n, d) + + +def test_sin_series(): + assert sin(x).series(x, 0, 9) == \ + x - x**3/6 + x**5/120 - x**7/5040 + O(x**9) + + +def test_sin_rewrite(): + assert sin(x).rewrite(exp) == -I*(exp(I*x) - exp(-I*x))/2 + assert sin(x).rewrite(tan) == 2*tan(x/2)/(1 + tan(x/2)**2) + assert sin(x).rewrite(cot) == \ + Piecewise((0, Eq(im(x), 0) & Eq(Mod(x, pi), 0)), + (2*cot(x/2)/(cot(x/2)**2 + 1), True)) + assert sin(sinh(x)).rewrite( + exp).subs(x, 3).n() == sin(x).rewrite(exp).subs(x, sinh(3)).n() + assert sin(cosh(x)).rewrite( + exp).subs(x, 3).n() == sin(x).rewrite(exp).subs(x, cosh(3)).n() + assert sin(tanh(x)).rewrite( + exp).subs(x, 3).n() == sin(x).rewrite(exp).subs(x, tanh(3)).n() + assert sin(coth(x)).rewrite( + exp).subs(x, 3).n() == sin(x).rewrite(exp).subs(x, coth(3)).n() + assert sin(sin(x)).rewrite( + exp).subs(x, 3).n() == sin(x).rewrite(exp).subs(x, sin(3)).n() + assert sin(cos(x)).rewrite( + exp).subs(x, 3).n() == sin(x).rewrite(exp).subs(x, cos(3)).n() + assert sin(tan(x)).rewrite( + exp).subs(x, 3).n() == sin(x).rewrite(exp).subs(x, tan(3)).n() + assert sin(cot(x)).rewrite( + exp).subs(x, 3).n() == sin(x).rewrite(exp).subs(x, cot(3)).n() + assert sin(log(x)).rewrite(Pow) == I*x**-I / 2 - I*x**I /2 + assert sin(x).rewrite(csc) == 1/csc(x) + assert sin(x).rewrite(cos) == cos(x - pi / 2, evaluate=False) + assert sin(x).rewrite(sec) == 1 / sec(x - pi / 2, evaluate=False) + assert sin(cos(x)).rewrite(Pow) == sin(cos(x)) + assert sin(x).rewrite(besselj) == sqrt(pi*x/2)*besselj(S.Half, x) + assert sin(x).rewrite(besselj).subs(x, 0) == sin(0) + + +def _test_extrig(f, i, e): + from sympy.core.function import expand_trig + assert unchanged(f, i) + assert expand_trig(f(i)) == f(i) + # testing directly instead of with .expand(trig=True) + # because the other expansions undo the unevaluated Mul + assert expand_trig(f(Mul(i, 1, evaluate=False))) == e + assert abs(f(i) - e).n() < 1e-10 + + +def test_sin_expansion(): + # Note: these formulas are not unique. The ones here come from the + # Chebyshev formulas. + assert sin(x + y).expand(trig=True) == sin(x)*cos(y) + cos(x)*sin(y) + assert sin(x - y).expand(trig=True) == sin(x)*cos(y) - cos(x)*sin(y) + assert sin(y - x).expand(trig=True) == cos(x)*sin(y) - sin(x)*cos(y) + assert sin(2*x).expand(trig=True) == 2*sin(x)*cos(x) + assert sin(3*x).expand(trig=True) == -4*sin(x)**3 + 3*sin(x) + assert sin(4*x).expand(trig=True) == -8*sin(x)**3*cos(x) + 4*sin(x)*cos(x) + assert sin(2*pi/17).expand(trig=True) == sin(2*pi/17, evaluate=False) + assert sin(x+pi/17).expand(trig=True) == sin(pi/17)*cos(x) + cos(pi/17)*sin(x) + _test_extrig(sin, 2, 2*sin(1)*cos(1)) + _test_extrig(sin, 3, -4*sin(1)**3 + 3*sin(1)) + + +def test_sin_AccumBounds(): + assert sin(AccumBounds(-oo, oo)) == AccumBounds(-1, 1) + assert sin(AccumBounds(0, oo)) == AccumBounds(-1, 1) + assert sin(AccumBounds(-oo, 0)) == AccumBounds(-1, 1) + assert sin(AccumBounds(0, 2*S.Pi)) == AccumBounds(-1, 1) + assert sin(AccumBounds(0, S.Pi*Rational(3, 4))) == AccumBounds(0, 1) + assert sin(AccumBounds(S.Pi*Rational(3, 4), S.Pi*Rational(7, 4))) == AccumBounds(-1, sin(S.Pi*Rational(3, 4))) + assert sin(AccumBounds(S.Pi/4, S.Pi/3)) == AccumBounds(sin(S.Pi/4), sin(S.Pi/3)) + assert sin(AccumBounds(S.Pi*Rational(3, 4), S.Pi*Rational(5, 6))) == AccumBounds(sin(S.Pi*Rational(5, 6)), sin(S.Pi*Rational(3, 4))) + + +def test_sin_fdiff(): + assert sin(x).fdiff() == cos(x) + raises(ArgumentIndexError, lambda: sin(x).fdiff(2)) + + +def test_trig_symmetry(): + assert sin(-x) == -sin(x) + assert cos(-x) == cos(x) + assert tan(-x) == -tan(x) + assert cot(-x) == -cot(x) + assert sin(x + pi) == -sin(x) + assert sin(x + 2*pi) == sin(x) + assert sin(x + 3*pi) == -sin(x) + assert sin(x + 4*pi) == sin(x) + assert sin(x - 5*pi) == -sin(x) + assert cos(x + pi) == -cos(x) + assert cos(x + 2*pi) == cos(x) + assert cos(x + 3*pi) == -cos(x) + assert cos(x + 4*pi) == cos(x) + assert cos(x - 5*pi) == -cos(x) + assert tan(x + pi) == tan(x) + assert tan(x - 3*pi) == tan(x) + assert cot(x + pi) == cot(x) + assert cot(x - 3*pi) == cot(x) + assert sin(pi/2 - x) == cos(x) + assert sin(pi*Rational(3, 2) - x) == -cos(x) + assert sin(pi*Rational(5, 2) - x) == cos(x) + assert cos(pi/2 - x) == sin(x) + assert cos(pi*Rational(3, 2) - x) == -sin(x) + assert cos(pi*Rational(5, 2) - x) == sin(x) + assert tan(pi/2 - x) == cot(x) + assert tan(pi*Rational(3, 2) - x) == cot(x) + assert tan(pi*Rational(5, 2) - x) == cot(x) + assert cot(pi/2 - x) == tan(x) + assert cot(pi*Rational(3, 2) - x) == tan(x) + assert cot(pi*Rational(5, 2) - x) == tan(x) + assert sin(pi/2 + x) == cos(x) + assert cos(pi/2 + x) == -sin(x) + assert tan(pi/2 + x) == -cot(x) + assert cot(pi/2 + x) == -tan(x) + + +def test_cos(): + x, y = symbols('x y') + + assert cos.nargs == FiniteSet(1) + assert cos(nan) is nan + + assert cos(oo) == AccumBounds(-1, 1) + assert cos(oo) - cos(oo) == AccumBounds(-2, 2) + assert cos(oo*I) is oo + assert cos(-oo*I) is oo + assert cos(zoo) is nan + + assert cos(0) == 1 + + assert cos(acos(x)) == x + assert cos(atan(x)) == 1 / sqrt(1 + x**2) + assert cos(asin(x)) == sqrt(1 - x**2) + assert cos(acot(x)) == 1 / sqrt(1 + 1 / x**2) + assert cos(acsc(x)) == sqrt(1 - 1 / x**2) + assert cos(asec(x)) == 1 / x + assert cos(atan2(y, x)) == x / sqrt(x**2 + y**2) + + assert cos(pi*I) == cosh(pi) + assert cos(-pi*I) == cosh(pi) + assert cos(-2*I) == cosh(2) + + assert cos(pi/2) == 0 + assert cos(-pi/2) == 0 + assert cos(pi/2) == 0 + assert cos(-pi/2) == 0 + assert cos((-3*10**73 + 1)*pi/2) == 0 + assert cos((7*10**103 + 1)*pi/2) == 0 + + n = symbols('n', integer=True, even=False) + e = symbols('e', even=True) + assert cos(pi*n/2) == 0 + assert cos(pi*e/2) == (-1)**(e/2) + + assert cos(pi) == -1 + assert cos(-pi) == -1 + assert cos(2*pi) == 1 + assert cos(5*pi) == -1 + assert cos(8*pi) == 1 + + assert cos(pi/3) == S.Half + assert cos(pi*Rational(-2, 3)) == Rational(-1, 2) + + assert cos(pi/4) == S.Half*sqrt(2) + assert cos(-pi/4) == S.Half*sqrt(2) + assert cos(pi*Rational(11, 4)) == Rational(-1, 2)*sqrt(2) + assert cos(pi*Rational(-3, 4)) == Rational(-1, 2)*sqrt(2) + + assert cos(pi/6) == S.Half*sqrt(3) + assert cos(-pi/6) == S.Half*sqrt(3) + assert cos(pi*Rational(7, 6)) == Rational(-1, 2)*sqrt(3) + assert cos(pi*Rational(-5, 6)) == Rational(-1, 2)*sqrt(3) + + assert cos(pi*Rational(1, 5)) == (sqrt(5) + 1)/4 + assert cos(pi*Rational(2, 5)) == (sqrt(5) - 1)/4 + assert cos(pi*Rational(3, 5)) == -cos(pi*Rational(2, 5)) + assert cos(pi*Rational(4, 5)) == -cos(pi*Rational(1, 5)) + assert cos(pi*Rational(6, 5)) == -cos(pi*Rational(1, 5)) + assert cos(pi*Rational(8, 5)) == cos(pi*Rational(2, 5)) + + assert cos(pi*Rational(-1273, 5)) == -cos(pi*Rational(2, 5)) + + assert cos(pi/8) == sqrt((2 + sqrt(2))/4) + + assert cos(pi/12) == sqrt(2)/4 + sqrt(6)/4 + assert cos(pi*Rational(5, 12)) == -sqrt(2)/4 + sqrt(6)/4 + assert cos(pi*Rational(7, 12)) == sqrt(2)/4 - sqrt(6)/4 + assert cos(pi*Rational(11, 12)) == -sqrt(2)/4 - sqrt(6)/4 + + assert cos(pi*Rational(104, 105)) == -cos(pi/105) + assert cos(pi*Rational(106, 105)) == -cos(pi/105) + + assert cos(pi*Rational(-104, 105)) == -cos(pi/105) + assert cos(pi*Rational(-106, 105)) == -cos(pi/105) + + assert cos(x*I) == cosh(x) + assert cos(k*pi*I) == cosh(k*pi) + + assert cos(r).is_real is True + + assert cos(0, evaluate=False).is_algebraic + assert cos(a).is_algebraic is None + assert cos(na).is_algebraic is False + q = Symbol('q', rational=True) + assert cos(pi*q).is_algebraic + assert cos(pi*Rational(2, 7)).is_algebraic + + assert cos(k*pi) == (-1)**k + assert cos(2*k*pi) == 1 + assert cos(0, evaluate=False).is_zero is False + assert cos(Rational(1, 2)).is_zero is False + # The following test will return None as the result, but really it should + # be True even if it is not always possible to resolve an assumptions query. + assert cos(asin(-1, evaluate=False), evaluate=False).is_zero is None + for d in list(range(1, 22)) + [60, 85]: + for n in range(2*d + 1): + x = n*pi/d + e = abs( float(cos(x)) - cos(float(x)) ) + assert e < 1e-12 + + +def test_issue_6190(): + c = Float('123456789012345678901234567890.25', '') + for cls in [sin, cos, tan, cot]: + assert cls(c*pi) == cls(pi/4) + assert cls(4.125*pi) == cls(pi/8) + assert cls(4.7*pi) == cls((4.7 % 2)*pi) + + +def test_cos_series(): + assert cos(x).series(x, 0, 9) == \ + 1 - x**2/2 + x**4/24 - x**6/720 + x**8/40320 + O(x**9) + + +def test_cos_rewrite(): + assert cos(x).rewrite(exp) == exp(I*x)/2 + exp(-I*x)/2 + assert cos(x).rewrite(tan) == (1 - tan(x/2)**2)/(1 + tan(x/2)**2) + assert cos(x).rewrite(cot) == \ + Piecewise((1, Eq(im(x), 0) & Eq(Mod(x, 2*pi), 0)), + ((cot(x/2)**2 - 1)/(cot(x/2)**2 + 1), True)) + assert cos(sinh(x)).rewrite( + exp).subs(x, 3).n() == cos(x).rewrite(exp).subs(x, sinh(3)).n() + assert cos(cosh(x)).rewrite( + exp).subs(x, 3).n() == cos(x).rewrite(exp).subs(x, cosh(3)).n() + assert cos(tanh(x)).rewrite( + exp).subs(x, 3).n() == cos(x).rewrite(exp).subs(x, tanh(3)).n() + assert cos(coth(x)).rewrite( + exp).subs(x, 3).n() == cos(x).rewrite(exp).subs(x, coth(3)).n() + assert cos(sin(x)).rewrite( + exp).subs(x, 3).n() == cos(x).rewrite(exp).subs(x, sin(3)).n() + assert cos(cos(x)).rewrite( + exp).subs(x, 3).n() == cos(x).rewrite(exp).subs(x, cos(3)).n() + assert cos(tan(x)).rewrite( + exp).subs(x, 3).n() == cos(x).rewrite(exp).subs(x, tan(3)).n() + assert cos(cot(x)).rewrite( + exp).subs(x, 3).n() == cos(x).rewrite(exp).subs(x, cot(3)).n() + assert cos(log(x)).rewrite(Pow) == x**I/2 + x**-I/2 + assert cos(x).rewrite(sec) == 1/sec(x) + assert cos(x).rewrite(sin) == sin(x + pi/2, evaluate=False) + assert cos(x).rewrite(csc) == 1/csc(-x + pi/2, evaluate=False) + assert cos(sin(x)).rewrite(Pow) == cos(sin(x)) + assert cos(x).rewrite(besselj) == Piecewise( + (sqrt(pi*x/2)*besselj(-S.Half, x), Ne(x, 0)), + (1, True) + ) + assert cos(x).rewrite(besselj).subs(x, 0) == cos(0) + + +def test_cos_expansion(): + assert cos(x + y).expand(trig=True) == cos(x)*cos(y) - sin(x)*sin(y) + assert cos(x - y).expand(trig=True) == cos(x)*cos(y) + sin(x)*sin(y) + assert cos(y - x).expand(trig=True) == cos(x)*cos(y) + sin(x)*sin(y) + assert cos(2*x).expand(trig=True) == 2*cos(x)**2 - 1 + assert cos(3*x).expand(trig=True) == 4*cos(x)**3 - 3*cos(x) + assert cos(4*x).expand(trig=True) == 8*cos(x)**4 - 8*cos(x)**2 + 1 + assert cos(2*pi/17).expand(trig=True) == cos(2*pi/17, evaluate=False) + assert cos(x+pi/17).expand(trig=True) == cos(pi/17)*cos(x) - sin(pi/17)*sin(x) + _test_extrig(cos, 2, 2*cos(1)**2 - 1) + _test_extrig(cos, 3, 4*cos(1)**3 - 3*cos(1)) + + +def test_cos_AccumBounds(): + assert cos(AccumBounds(-oo, oo)) == AccumBounds(-1, 1) + assert cos(AccumBounds(0, oo)) == AccumBounds(-1, 1) + assert cos(AccumBounds(-oo, 0)) == AccumBounds(-1, 1) + assert cos(AccumBounds(0, 2*S.Pi)) == AccumBounds(-1, 1) + assert cos(AccumBounds(-S.Pi/3, S.Pi/4)) == AccumBounds(cos(-S.Pi/3), 1) + assert cos(AccumBounds(S.Pi*Rational(3, 4), S.Pi*Rational(5, 4))) == AccumBounds(-1, cos(S.Pi*Rational(3, 4))) + assert cos(AccumBounds(S.Pi*Rational(5, 4), S.Pi*Rational(4, 3))) == AccumBounds(cos(S.Pi*Rational(5, 4)), cos(S.Pi*Rational(4, 3))) + assert cos(AccumBounds(S.Pi/4, S.Pi/3)) == AccumBounds(cos(S.Pi/3), cos(S.Pi/4)) + + +def test_cos_fdiff(): + assert cos(x).fdiff() == -sin(x) + raises(ArgumentIndexError, lambda: cos(x).fdiff(2)) + + +def test_tan(): + assert tan(nan) is nan + + assert tan(zoo) is nan + assert tan(oo) == AccumBounds(-oo, oo) + assert tan(oo) - tan(oo) == AccumBounds(-oo, oo) + assert tan.nargs == FiniteSet(1) + assert tan(oo*I) == I + assert tan(-oo*I) == -I + + assert tan(0) == 0 + + assert tan(atan(x)) == x + assert tan(asin(x)) == x / sqrt(1 - x**2) + assert tan(acos(x)) == sqrt(1 - x**2) / x + assert tan(acot(x)) == 1 / x + assert tan(acsc(x)) == 1 / (sqrt(1 - 1 / x**2) * x) + assert tan(asec(x)) == sqrt(1 - 1 / x**2) * x + assert tan(atan2(y, x)) == y/x + + assert tan(pi*I) == tanh(pi)*I + assert tan(-pi*I) == -tanh(pi)*I + assert tan(-2*I) == -tanh(2)*I + + assert tan(pi) == 0 + assert tan(-pi) == 0 + assert tan(2*pi) == 0 + assert tan(-2*pi) == 0 + assert tan(-3*10**73*pi) == 0 + + assert tan(pi/2) is zoo + assert tan(pi*Rational(3, 2)) is zoo + + assert tan(pi/3) == sqrt(3) + assert tan(pi*Rational(-2, 3)) == sqrt(3) + + assert tan(pi/4) is S.One + assert tan(-pi/4) is S.NegativeOne + assert tan(pi*Rational(17, 4)) is S.One + assert tan(pi*Rational(-3, 4)) is S.One + + assert tan(pi/5) == sqrt(5 - 2*sqrt(5)) + assert tan(pi*Rational(2, 5)) == sqrt(5 + 2*sqrt(5)) + assert tan(pi*Rational(18, 5)) == -sqrt(5 + 2*sqrt(5)) + assert tan(pi*Rational(-16, 5)) == -sqrt(5 - 2*sqrt(5)) + + assert tan(pi/6) == 1/sqrt(3) + assert tan(-pi/6) == -1/sqrt(3) + assert tan(pi*Rational(7, 6)) == 1/sqrt(3) + assert tan(pi*Rational(-5, 6)) == 1/sqrt(3) + + assert tan(pi/8) == -1 + sqrt(2) + assert tan(pi*Rational(3, 8)) == 1 + sqrt(2) # issue 15959 + assert tan(pi*Rational(5, 8)) == -1 - sqrt(2) + assert tan(pi*Rational(7, 8)) == 1 - sqrt(2) + + assert tan(pi/10) == sqrt(1 - 2*sqrt(5)/5) + assert tan(pi*Rational(3, 10)) == sqrt(1 + 2*sqrt(5)/5) + assert tan(pi*Rational(17, 10)) == -sqrt(1 + 2*sqrt(5)/5) + assert tan(pi*Rational(-31, 10)) == -sqrt(1 - 2*sqrt(5)/5) + + assert tan(pi/12) == -sqrt(3) + 2 + assert tan(pi*Rational(5, 12)) == sqrt(3) + 2 + assert tan(pi*Rational(7, 12)) == -sqrt(3) - 2 + assert tan(pi*Rational(11, 12)) == sqrt(3) - 2 + + assert tan(pi/24).radsimp() == -2 - sqrt(3) + sqrt(2) + sqrt(6) + assert tan(pi*Rational(5, 24)).radsimp() == -2 + sqrt(3) - sqrt(2) + sqrt(6) + assert tan(pi*Rational(7, 24)).radsimp() == 2 - sqrt(3) - sqrt(2) + sqrt(6) + assert tan(pi*Rational(11, 24)).radsimp() == 2 + sqrt(3) + sqrt(2) + sqrt(6) + assert tan(pi*Rational(13, 24)).radsimp() == -2 - sqrt(3) - sqrt(2) - sqrt(6) + assert tan(pi*Rational(17, 24)).radsimp() == -2 + sqrt(3) + sqrt(2) - sqrt(6) + assert tan(pi*Rational(19, 24)).radsimp() == 2 - sqrt(3) + sqrt(2) - sqrt(6) + assert tan(pi*Rational(23, 24)).radsimp() == 2 + sqrt(3) - sqrt(2) - sqrt(6) + + assert tan(x*I) == tanh(x)*I + + assert tan(k*pi) == 0 + assert tan(17*k*pi) == 0 + + assert tan(k*pi*I) == tanh(k*pi)*I + + assert tan(r).is_real is None + assert tan(r).is_extended_real is True + + assert tan(0, evaluate=False).is_algebraic + assert tan(a).is_algebraic is None + assert tan(na).is_algebraic is False + + assert tan(pi*Rational(10, 7)) == tan(pi*Rational(3, 7)) + assert tan(pi*Rational(11, 7)) == -tan(pi*Rational(3, 7)) + assert tan(pi*Rational(-11, 7)) == tan(pi*Rational(3, 7)) + + assert tan(pi*Rational(15, 14)) == tan(pi/14) + assert tan(pi*Rational(-15, 14)) == -tan(pi/14) + + assert tan(r).is_finite is None + assert tan(I*r).is_finite is True + + # https://github.com/sympy/sympy/issues/21177 + f = tan(pi*(x + S(3)/2))/(3*x) + assert f.as_leading_term(x) == -1/(3*pi*x**2) + + +def test_tan_series(): + assert tan(x).series(x, 0, 9) == \ + x + x**3/3 + 2*x**5/15 + 17*x**7/315 + O(x**9) + + +def test_tan_rewrite(): + neg_exp, pos_exp = exp(-x*I), exp(x*I) + assert tan(x).rewrite(exp) == I*(neg_exp - pos_exp)/(neg_exp + pos_exp) + assert tan(x).rewrite(sin) == 2*sin(x)**2/sin(2*x) + assert tan(x).rewrite(cos) == cos(x - S.Pi/2, evaluate=False)/cos(x) + assert tan(x).rewrite(cot) == 1/cot(x) + assert tan(sinh(x)).rewrite(exp).subs(x, 3).n() == tan(x).rewrite(exp).subs(x, sinh(3)).n() + assert tan(cosh(x)).rewrite(exp).subs(x, 3).n() == tan(x).rewrite(exp).subs(x, cosh(3)).n() + assert tan(tanh(x)).rewrite(exp).subs(x, 3).n() == tan(x).rewrite(exp).subs(x, tanh(3)).n() + assert tan(coth(x)).rewrite(exp).subs(x, 3).n() == tan(x).rewrite(exp).subs(x, coth(3)).n() + assert tan(sin(x)).rewrite(exp).subs(x, 3).n() == tan(x).rewrite(exp).subs(x, sin(3)).n() + assert tan(cos(x)).rewrite(exp).subs(x, 3).n() == tan(x).rewrite(exp).subs(x, cos(3)).n() + assert tan(tan(x)).rewrite(exp).subs(x, 3).n() == tan(x).rewrite(exp).subs(x, tan(3)).n() + assert tan(cot(x)).rewrite(exp).subs(x, 3).n() == tan(x).rewrite(exp).subs(x, cot(3)).n() + assert tan(log(x)).rewrite(Pow) == I*(x**-I - x**I)/(x**-I + x**I) + assert tan(x).rewrite(sec) == sec(x)/sec(x - pi/2, evaluate=False) + assert tan(x).rewrite(csc) == csc(-x + pi/2, evaluate=False)/csc(x) + assert tan(sin(x)).rewrite(Pow) == tan(sin(x)) + assert tan(pi*Rational(2, 5), evaluate=False).rewrite(sqrt) == sqrt(sqrt(5)/8 + + Rational(5, 8))/(Rational(-1, 4) + sqrt(5)/4) + assert tan(x).rewrite(besselj) == besselj(S.Half, x)/besselj(-S.Half, x) + assert tan(x).rewrite(besselj).subs(x, 0) == tan(0) + + +@slow +def test_tan_rewrite_slow(): + assert 0 == (cos(pi/34)*tan(pi/34) - sin(pi/34)).rewrite(pow) + assert 0 == (cos(pi/17)*tan(pi/17) - sin(pi/17)).rewrite(pow) + assert tan(pi/19).rewrite(pow) == tan(pi/19) + assert tan(pi*Rational(8, 19)).rewrite(sqrt) == tan(pi*Rational(8, 19)) + assert tan(pi*Rational(2, 5), evaluate=False).rewrite(sqrt) == sqrt(sqrt(5)/8 + + Rational(5, 8))/(Rational(-1, 4) + sqrt(5)/4) + + +def test_tan_subs(): + assert tan(x).subs(tan(x), y) == y + assert tan(x).subs(x, y) == tan(y) + assert tan(x).subs(x, S.Pi/2) is zoo + assert tan(x).subs(x, S.Pi*Rational(3, 2)) is zoo + + +def test_tan_expansion(): + assert tan(x + y).expand(trig=True) == ((tan(x) + tan(y))/(1 - tan(x)*tan(y))).expand() + assert tan(x - y).expand(trig=True) == ((tan(x) - tan(y))/(1 + tan(x)*tan(y))).expand() + assert tan(x + y + z).expand(trig=True) == ( + (tan(x) + tan(y) + tan(z) - tan(x)*tan(y)*tan(z))/ + (1 - tan(x)*tan(y) - tan(x)*tan(z) - tan(y)*tan(z))).expand() + assert 0 == tan(2*x).expand(trig=True).rewrite(tan).subs([(tan(x), Rational(1, 7))])*24 - 7 + assert 0 == tan(3*x).expand(trig=True).rewrite(tan).subs([(tan(x), Rational(1, 5))])*55 - 37 + assert 0 == tan(4*x - pi/4).expand(trig=True).rewrite(tan).subs([(tan(x), Rational(1, 5))])*239 - 1 + _test_extrig(tan, 2, 2*tan(1)/(1 - tan(1)**2)) + _test_extrig(tan, 3, (-tan(1)**3 + 3*tan(1))/(1 - 3*tan(1)**2)) + + +def test_tan_AccumBounds(): + assert tan(AccumBounds(-oo, oo)) == AccumBounds(-oo, oo) + assert tan(AccumBounds(S.Pi/3, S.Pi*Rational(2, 3))) == AccumBounds(-oo, oo) + assert tan(AccumBounds(S.Pi/6, S.Pi/3)) == AccumBounds(tan(S.Pi/6), tan(S.Pi/3)) + + +def test_tan_fdiff(): + assert tan(x).fdiff() == tan(x)**2 + 1 + raises(ArgumentIndexError, lambda: tan(x).fdiff(2)) + + +def test_cot(): + assert cot(nan) is nan + + assert cot.nargs == FiniteSet(1) + assert cot(oo*I) == -I + assert cot(-oo*I) == I + assert cot(zoo) is nan + + assert cot(0) is zoo + assert cot(2*pi) is zoo + + assert cot(acot(x)) == x + assert cot(atan(x)) == 1 / x + assert cot(asin(x)) == sqrt(1 - x**2) / x + assert cot(acos(x)) == x / sqrt(1 - x**2) + assert cot(acsc(x)) == sqrt(1 - 1 / x**2) * x + assert cot(asec(x)) == 1 / (sqrt(1 - 1 / x**2) * x) + assert cot(atan2(y, x)) == x/y + + assert cot(pi*I) == -coth(pi)*I + assert cot(-pi*I) == coth(pi)*I + assert cot(-2*I) == coth(2)*I + + assert cot(pi) == cot(2*pi) == cot(3*pi) + assert cot(-pi) == cot(-2*pi) == cot(-3*pi) + + assert cot(pi/2) == 0 + assert cot(-pi/2) == 0 + assert cot(pi*Rational(5, 2)) == 0 + assert cot(pi*Rational(7, 2)) == 0 + + assert cot(pi/3) == 1/sqrt(3) + assert cot(pi*Rational(-2, 3)) == 1/sqrt(3) + + assert cot(pi/4) is S.One + assert cot(-pi/4) is S.NegativeOne + assert cot(pi*Rational(17, 4)) is S.One + assert cot(pi*Rational(-3, 4)) is S.One + + assert cot(pi/6) == sqrt(3) + assert cot(-pi/6) == -sqrt(3) + assert cot(pi*Rational(7, 6)) == sqrt(3) + assert cot(pi*Rational(-5, 6)) == sqrt(3) + + assert cot(pi/8) == 1 + sqrt(2) + assert cot(pi*Rational(3, 8)) == -1 + sqrt(2) + assert cot(pi*Rational(5, 8)) == 1 - sqrt(2) + assert cot(pi*Rational(7, 8)) == -1 - sqrt(2) + + assert cot(pi/12) == sqrt(3) + 2 + assert cot(pi*Rational(5, 12)) == -sqrt(3) + 2 + assert cot(pi*Rational(7, 12)) == sqrt(3) - 2 + assert cot(pi*Rational(11, 12)) == -sqrt(3) - 2 + + assert cot(pi/24).radsimp() == sqrt(2) + sqrt(3) + 2 + sqrt(6) + assert cot(pi*Rational(5, 24)).radsimp() == -sqrt(2) - sqrt(3) + 2 + sqrt(6) + assert cot(pi*Rational(7, 24)).radsimp() == -sqrt(2) + sqrt(3) - 2 + sqrt(6) + assert cot(pi*Rational(11, 24)).radsimp() == sqrt(2) - sqrt(3) - 2 + sqrt(6) + assert cot(pi*Rational(13, 24)).radsimp() == -sqrt(2) + sqrt(3) + 2 - sqrt(6) + assert cot(pi*Rational(17, 24)).radsimp() == sqrt(2) - sqrt(3) + 2 - sqrt(6) + assert cot(pi*Rational(19, 24)).radsimp() == sqrt(2) + sqrt(3) - 2 - sqrt(6) + assert cot(pi*Rational(23, 24)).radsimp() == -sqrt(2) - sqrt(3) - 2 - sqrt(6) + + assert cot(x*I) == -coth(x)*I + assert cot(k*pi*I) == -coth(k*pi)*I + + assert cot(r).is_real is None + assert cot(r).is_extended_real is True + + assert cot(a).is_algebraic is None + assert cot(na).is_algebraic is False + + assert cot(pi*Rational(10, 7)) == cot(pi*Rational(3, 7)) + assert cot(pi*Rational(11, 7)) == -cot(pi*Rational(3, 7)) + assert cot(pi*Rational(-11, 7)) == cot(pi*Rational(3, 7)) + + assert cot(pi*Rational(39, 34)) == cot(pi*Rational(5, 34)) + assert cot(pi*Rational(-41, 34)) == -cot(pi*Rational(7, 34)) + + assert cot(x).is_finite is None + assert cot(r).is_finite is None + i = Symbol('i', imaginary=True) + assert cot(i).is_finite is True + + assert cot(x).subs(x, 3*pi) is zoo + + # https://github.com/sympy/sympy/issues/21177 + f = cot(pi*(x + 4))/(3*x) + assert f.as_leading_term(x) == 1/(3*pi*x**2) + + +def test_tan_cot_sin_cos_evalf(): + assert abs((tan(pi*Rational(8, 15))*cos(pi*Rational(8, 15))/sin(pi*Rational(8, 15)) - 1).evalf()) < 1e-14 + assert abs((cot(pi*Rational(4, 15))*sin(pi*Rational(4, 15))/cos(pi*Rational(4, 15)) - 1).evalf()) < 1e-14 + +@XFAIL +def test_tan_cot_sin_cos_ratsimp(): + assert 1 == (tan(pi*Rational(8, 15))*cos(pi*Rational(8, 15))/sin(pi*Rational(8, 15))).ratsimp() + assert 1 == (cot(pi*Rational(4, 15))*sin(pi*Rational(4, 15))/cos(pi*Rational(4, 15))).ratsimp() + + +def test_cot_series(): + assert cot(x).series(x, 0, 9) == \ + 1/x - x/3 - x**3/45 - 2*x**5/945 - x**7/4725 + O(x**9) + # issue 6210 + assert cot(x**4 + x**5).series(x, 0, 1) == \ + x**(-4) - 1/x**3 + x**(-2) - 1/x + 1 + O(x) + assert cot(pi*(1-x)).series(x, 0, 3) == -1/(pi*x) + pi*x/3 + O(x**3) + assert cot(x).taylor_term(0, x) == 1/x + assert cot(x).taylor_term(2, x) is S.Zero + assert cot(x).taylor_term(3, x) == -x**3/45 + + +def test_cot_rewrite(): + neg_exp, pos_exp = exp(-x*I), exp(x*I) + assert cot(x).rewrite(exp) == I*(pos_exp + neg_exp)/(pos_exp - neg_exp) + assert cot(x).rewrite(sin) == sin(2*x)/(2*(sin(x)**2)) + assert cot(x).rewrite(cos) == cos(x)/cos(x - pi/2, evaluate=False) + assert cot(x).rewrite(tan) == 1/tan(x) + def check(func): + z = cot(func(x)).rewrite(exp) - cot(x).rewrite(exp).subs(x, func(x)) + assert z.rewrite(exp).expand() == 0 + check(sinh) + check(cosh) + check(tanh) + check(coth) + check(sin) + check(cos) + check(tan) + assert cot(log(x)).rewrite(Pow) == -I*(x**-I + x**I)/(x**-I - x**I) + assert cot(x).rewrite(sec) == sec(x - pi / 2, evaluate=False) / sec(x) + assert cot(x).rewrite(csc) == csc(x) / csc(- x + pi / 2, evaluate=False) + assert cot(sin(x)).rewrite(Pow) == cot(sin(x)) + assert cot(pi*Rational(2, 5), evaluate=False).rewrite(sqrt) == (Rational(-1, 4) + sqrt(5)/4)/\ + sqrt(sqrt(5)/8 + Rational(5, 8)) + assert cot(x).rewrite(besselj) == besselj(-S.Half, x)/besselj(S.Half, x) + assert cot(x).rewrite(besselj).subs(x, 0) == cot(0) + + +@slow +def test_cot_rewrite_slow(): + assert cot(pi*Rational(4, 34)).rewrite(pow).ratsimp() == \ + (cos(pi*Rational(4, 34))/sin(pi*Rational(4, 34))).rewrite(pow).ratsimp() + assert cot(pi*Rational(4, 17)).rewrite(pow) == \ + (cos(pi*Rational(4, 17))/sin(pi*Rational(4, 17))).rewrite(pow) + assert cot(pi/19).rewrite(pow) == cot(pi/19) + assert cot(pi/19).rewrite(sqrt) == cot(pi/19) + assert cot(pi*Rational(2, 5), evaluate=False).rewrite(sqrt) == \ + (Rational(-1, 4) + sqrt(5)/4) / sqrt(sqrt(5)/8 + Rational(5, 8)) + + +def test_cot_subs(): + assert cot(x).subs(cot(x), y) == y + assert cot(x).subs(x, y) == cot(y) + assert cot(x).subs(x, 0) is zoo + assert cot(x).subs(x, S.Pi) is zoo + + +def test_cot_expansion(): + assert cot(x + y).expand(trig=True).together() == ( + (cot(x)*cot(y) - 1)/(cot(x) + cot(y))) + assert cot(x - y).expand(trig=True).together() == ( + cot(x)*cot(-y) - 1)/(cot(x) + cot(-y)) + assert cot(x + y + z).expand(trig=True).together() == ( + (cot(x)*cot(y)*cot(z) - cot(x) - cot(y) - cot(z))/ + (-1 + cot(x)*cot(y) + cot(x)*cot(z) + cot(y)*cot(z))) + assert cot(3*x).expand(trig=True).together() == ( + (cot(x)**2 - 3)*cot(x)/(3*cot(x)**2 - 1)) + assert cot(2*x).expand(trig=True) == cot(x)/2 - 1/(2*cot(x)) + assert cot(3*x).expand(trig=True).together() == ( + cot(x)**2 - 3)*cot(x)/(3*cot(x)**2 - 1) + assert cot(4*x - pi/4).expand(trig=True).cancel() == ( + -tan(x)**4 + 4*tan(x)**3 + 6*tan(x)**2 - 4*tan(x) - 1 + )/(tan(x)**4 + 4*tan(x)**3 - 6*tan(x)**2 - 4*tan(x) + 1) + _test_extrig(cot, 2, (-1 + cot(1)**2)/(2*cot(1))) + _test_extrig(cot, 3, (-3*cot(1) + cot(1)**3)/(-1 + 3*cot(1)**2)) + + +def test_cot_AccumBounds(): + assert cot(AccumBounds(-oo, oo)) == AccumBounds(-oo, oo) + assert cot(AccumBounds(-S.Pi/3, S.Pi/3)) == AccumBounds(-oo, oo) + assert cot(AccumBounds(S.Pi/6, S.Pi/3)) == AccumBounds(cot(S.Pi/3), cot(S.Pi/6)) + + +def test_cot_fdiff(): + assert cot(x).fdiff() == -cot(x)**2 - 1 + raises(ArgumentIndexError, lambda: cot(x).fdiff(2)) + + +def test_sinc(): + assert isinstance(sinc(x), sinc) + + s = Symbol('s', zero=True) + assert sinc(s) is S.One + assert sinc(S.Infinity) is S.Zero + assert sinc(S.NegativeInfinity) is S.Zero + assert sinc(S.NaN) is S.NaN + assert sinc(S.ComplexInfinity) is S.NaN + + n = Symbol('n', integer=True, nonzero=True) + assert sinc(n*pi) is S.Zero + assert sinc(-n*pi) is S.Zero + assert sinc(pi/2) == 2 / pi + assert sinc(-pi/2) == 2 / pi + assert sinc(pi*Rational(5, 2)) == 2 / (5*pi) + assert sinc(pi*Rational(7, 2)) == -2 / (7*pi) + + assert sinc(-x) == sinc(x) + + assert sinc(x).diff(x) == cos(x)/x - sin(x)/x**2 + assert sinc(x).diff(x) == (sin(x)/x).diff(x) + assert sinc(x).diff(x, x) == (-sin(x) - 2*cos(x)/x + 2*sin(x)/x**2)/x + assert sinc(x).diff(x, x) == (sin(x)/x).diff(x, x) + assert limit(sinc(x).diff(x), x, 0) == 0 + assert limit(sinc(x).diff(x, x), x, 0) == -S(1)/3 + + # https://github.com/sympy/sympy/issues/11402 + # + # assert sinc(x).diff(x) == Piecewise(((x*cos(x) - sin(x)) / x**2, Ne(x, 0)), (0, True)) + # + # assert sinc(x).diff(x).equals(sinc(x).rewrite(sin).diff(x)) + # + # assert sinc(x).diff(x).subs(x, 0) is S.Zero + + assert sinc(x).series() == 1 - x**2/6 + x**4/120 + O(x**6) + + assert sinc(x).rewrite(jn) == jn(0, x) + assert sinc(x).rewrite(sin) == Piecewise((sin(x)/x, Ne(x, 0)), (1, True)) + assert sinc(pi, evaluate=False).is_zero is True + assert sinc(0, evaluate=False).is_zero is False + assert sinc(n*pi, evaluate=False).is_zero is True + assert sinc(x).is_zero is None + xr = Symbol('xr', real=True, nonzero=True) + assert sinc(x).is_real is None + assert sinc(xr).is_real is True + assert sinc(I*xr).is_real is True + assert sinc(I*100).is_real is True + assert sinc(x).is_finite is None + assert sinc(xr).is_finite is True + + +def test_asin(): + assert asin(nan) is nan + + assert asin.nargs == FiniteSet(1) + assert asin(oo) == -I*oo + assert asin(-oo) == I*oo + assert asin(zoo) is zoo + + # Note: asin(-x) = - asin(x) + assert asin(0) == 0 + assert asin(1) == pi/2 + assert asin(-1) == -pi/2 + assert asin(sqrt(3)/2) == pi/3 + assert asin(-sqrt(3)/2) == -pi/3 + assert asin(sqrt(2)/2) == pi/4 + assert asin(-sqrt(2)/2) == -pi/4 + assert asin(sqrt((5 - sqrt(5))/8)) == pi/5 + assert asin(-sqrt((5 - sqrt(5))/8)) == -pi/5 + assert asin(S.Half) == pi/6 + assert asin(Rational(-1, 2)) == -pi/6 + assert asin((sqrt(2 - sqrt(2)))/2) == pi/8 + assert asin(-(sqrt(2 - sqrt(2)))/2) == -pi/8 + assert asin((sqrt(5) - 1)/4) == pi/10 + assert asin(-(sqrt(5) - 1)/4) == -pi/10 + assert asin((sqrt(3) - 1)/sqrt(2**3)) == pi/12 + assert asin(-(sqrt(3) - 1)/sqrt(2**3)) == -pi/12 + + # check round-trip for exact values: + for d in [5, 6, 8, 10, 12]: + for n in range(-(d//2), d//2 + 1): + if gcd(n, d) == 1: + assert asin(sin(n*pi/d)) == n*pi/d + + assert asin(x).diff(x) == 1/sqrt(1 - x**2) + + assert asin(0.2, evaluate=False).is_real is True + assert asin(-2).is_real is False + assert asin(r).is_real is None + + assert asin(-2*I) == -I*asinh(2) + + assert asin(Rational(1, 7), evaluate=False).is_positive is True + assert asin(Rational(-1, 7), evaluate=False).is_positive is False + assert asin(p).is_positive is None + assert asin(sin(Rational(7, 2))) == Rational(-7, 2) + pi + assert asin(sin(Rational(-7, 4))) == Rational(7, 4) - pi + assert unchanged(asin, cos(x)) + + +def test_asin_series(): + assert asin(x).series(x, 0, 9) == \ + x + x**3/6 + 3*x**5/40 + 5*x**7/112 + O(x**9) + t5 = asin(x).taylor_term(5, x) + assert t5 == 3*x**5/40 + assert asin(x).taylor_term(7, x, t5, 0) == 5*x**7/112 + + +def test_asin_leading_term(): + assert asin(x).as_leading_term(x) == x + # Tests concerning branch points + assert asin(x + 1).as_leading_term(x) == pi/2 + assert asin(x - 1).as_leading_term(x) == -pi/2 + assert asin(1/x).as_leading_term(x, cdir=1) == I*log(x) + pi/2 - I*log(2) + assert asin(1/x).as_leading_term(x, cdir=-1) == -I*log(x) - 3*pi/2 + I*log(2) + # Tests concerning points lying on branch cuts + assert asin(I*x + 2).as_leading_term(x, cdir=1) == pi - asin(2) + assert asin(-I*x + 2).as_leading_term(x, cdir=1) == asin(2) + assert asin(I*x - 2).as_leading_term(x, cdir=1) == -asin(2) + assert asin(-I*x - 2).as_leading_term(x, cdir=1) == -pi + asin(2) + # Tests concerning im(ndir) == 0 + assert asin(-I*x**2 + x - 2).as_leading_term(x, cdir=1) == -pi/2 + I*log(2 - sqrt(3)) + assert asin(-I*x**2 + x - 2).as_leading_term(x, cdir=-1) == -pi/2 + I*log(2 - sqrt(3)) + + +def test_asin_rewrite(): + assert asin(x).rewrite(log) == -I*log(I*x + sqrt(1 - x**2)) + assert asin(x).rewrite(atan) == 2*atan(x/(1 + sqrt(1 - x**2))) + assert asin(x).rewrite(acos) == S.Pi/2 - acos(x) + assert asin(x).rewrite(acot) == 2*acot((sqrt(-x**2 + 1) + 1)/x) + assert asin(x).rewrite(asec) == -asec(1/x) + pi/2 + assert asin(x).rewrite(acsc) == acsc(1/x) + + +def test_asin_fdiff(): + assert asin(x).fdiff() == 1/sqrt(1 - x**2) + raises(ArgumentIndexError, lambda: asin(x).fdiff(2)) + + +def test_acos(): + assert acos(nan) is nan + assert acos(zoo) is zoo + + assert acos.nargs == FiniteSet(1) + assert acos(oo) == I*oo + assert acos(-oo) == -I*oo + + # Note: acos(-x) = pi - acos(x) + assert acos(0) == pi/2 + assert acos(S.Half) == pi/3 + assert acos(Rational(-1, 2)) == pi*Rational(2, 3) + assert acos(1) == 0 + assert acos(-1) == pi + assert acos(sqrt(2)/2) == pi/4 + assert acos(-sqrt(2)/2) == pi*Rational(3, 4) + + # check round-trip for exact values: + for d in range(5, 13): + for num in range(d): + if gcd(num, d) == 1: + assert acos(cos(num*pi/d)) == num*pi/d + assert acos(-cos(num*pi/d)) == pi - num*pi/d + assert acos(sin(num*pi/d)) == pi/2 - asin(sin(num*pi/d)) + assert acos(-sin(num*pi/d)) == pi/2 - asin(-sin(num*pi/d)) + + assert acos(2*I) == pi/2 - asin(2*I) + + assert acos(x).diff(x) == -1/sqrt(1 - x**2) + + assert acos(0.2).is_real is True + assert acos(-2).is_real is False + assert acos(r).is_real is None + + assert acos(Rational(1, 7), evaluate=False).is_positive is True + assert acos(Rational(-1, 7), evaluate=False).is_positive is True + assert acos(Rational(3, 2), evaluate=False).is_positive is False + assert acos(p).is_positive is None + + assert acos(2 + p).conjugate() != acos(10 + p) + assert acos(-3 + n).conjugate() != acos(-3 + n) + assert acos(Rational(1, 3)).conjugate() == acos(Rational(1, 3)) + assert acos(Rational(-1, 3)).conjugate() == acos(Rational(-1, 3)) + assert acos(p + n*I).conjugate() == acos(p - n*I) + assert acos(z).conjugate() != acos(conjugate(z)) + + +def test_acos_leading_term(): + assert acos(x).as_leading_term(x) == pi/2 + # Tests concerning branch points + assert acos(x + 1).as_leading_term(x) == sqrt(2)*sqrt(-x) + assert acos(x - 1).as_leading_term(x) == pi + assert acos(1/x).as_leading_term(x, cdir=1) == -I*log(x) + I*log(2) + assert acos(1/x).as_leading_term(x, cdir=-1) == I*log(x) + 2*pi - I*log(2) + # Tests concerning points lying on branch cuts + assert acos(I*x + 2).as_leading_term(x, cdir=1) == -acos(2) + assert acos(-I*x + 2).as_leading_term(x, cdir=1) == acos(2) + assert acos(I*x - 2).as_leading_term(x, cdir=1) == acos(-2) + assert acos(-I*x - 2).as_leading_term(x, cdir=1) == 2*pi - acos(-2) + # Tests concerning im(ndir) == 0 + assert acos(-I*x**2 + x - 2).as_leading_term(x, cdir=1) == pi + I*log(sqrt(3) + 2) + assert acos(-I*x**2 + x - 2).as_leading_term(x, cdir=-1) == pi + I*log(sqrt(3) + 2) + + +def test_acos_series(): + assert acos(x).series(x, 0, 8) == \ + pi/2 - x - x**3/6 - 3*x**5/40 - 5*x**7/112 + O(x**8) + assert acos(x).series(x, 0, 8) == pi/2 - asin(x).series(x, 0, 8) + t5 = acos(x).taylor_term(5, x) + assert t5 == -3*x**5/40 + assert acos(x).taylor_term(7, x, t5, 0) == -5*x**7/112 + assert acos(x).taylor_term(0, x) == pi/2 + assert acos(x).taylor_term(2, x) is S.Zero + + +def test_acos_rewrite(): + assert acos(x).rewrite(log) == pi/2 + I*log(I*x + sqrt(1 - x**2)) + assert acos(x).rewrite(atan) == pi*(-x*sqrt(x**(-2)) + 1)/2 + atan(sqrt(1 - x**2)/x) + assert acos(0).rewrite(atan) == S.Pi/2 + assert acos(0.5).rewrite(atan) == acos(0.5).rewrite(log) + assert acos(x).rewrite(asin) == S.Pi/2 - asin(x) + assert acos(x).rewrite(acot) == -2*acot((sqrt(-x**2 + 1) + 1)/x) + pi/2 + assert acos(x).rewrite(asec) == asec(1/x) + assert acos(x).rewrite(acsc) == -acsc(1/x) + pi/2 + + +def test_acos_fdiff(): + assert acos(x).fdiff() == -1/sqrt(1 - x**2) + raises(ArgumentIndexError, lambda: acos(x).fdiff(2)) + + +def test_atan(): + assert atan(nan) is nan + + assert atan.nargs == FiniteSet(1) + assert atan(oo) == pi/2 + assert atan(-oo) == -pi/2 + assert atan(zoo) == AccumBounds(-pi/2, pi/2) + + assert atan(0) == 0 + assert atan(1) == pi/4 + assert atan(sqrt(3)) == pi/3 + assert atan(-(1 + sqrt(2))) == pi*Rational(-3, 8) + assert atan(sqrt(5 - 2 * sqrt(5))) == pi/5 + assert atan(-sqrt(1 - 2 * sqrt(5)/ 5)) == -pi/10 + assert atan(sqrt(1 + 2 * sqrt(5) / 5)) == pi*Rational(3, 10) + assert atan(-2 + sqrt(3)) == -pi/12 + assert atan(2 + sqrt(3)) == pi*Rational(5, 12) + assert atan(-2 - sqrt(3)) == pi*Rational(-5, 12) + + # check round-trip for exact values: + for d in [5, 6, 8, 10, 12]: + for num in range(-(d//2), d//2 + 1): + if gcd(num, d) == 1: + assert atan(tan(num*pi/d)) == num*pi/d + + assert atan(oo) == pi/2 + assert atan(x).diff(x) == 1/(1 + x**2) + + assert atan(r).is_real is True + + assert atan(-2*I) == -I*atanh(2) + assert unchanged(atan, cot(x)) + assert atan(cot(Rational(1, 4))) == Rational(-1, 4) + pi/2 + assert acot(Rational(1, 4)).is_rational is False + + for s in (x, p, n, np, nn, nz, ep, en, enp, enn, enz): + if s.is_real or s.is_extended_real is None: + assert s.is_nonzero is atan(s).is_nonzero + assert s.is_positive is atan(s).is_positive + assert s.is_negative is atan(s).is_negative + assert s.is_nonpositive is atan(s).is_nonpositive + assert s.is_nonnegative is atan(s).is_nonnegative + else: + assert s.is_extended_nonzero is atan(s).is_nonzero + assert s.is_extended_positive is atan(s).is_positive + assert s.is_extended_negative is atan(s).is_negative + assert s.is_extended_nonpositive is atan(s).is_nonpositive + assert s.is_extended_nonnegative is atan(s).is_nonnegative + assert s.is_extended_nonzero is atan(s).is_extended_nonzero + assert s.is_extended_positive is atan(s).is_extended_positive + assert s.is_extended_negative is atan(s).is_extended_negative + assert s.is_extended_nonpositive is atan(s).is_extended_nonpositive + assert s.is_extended_nonnegative is atan(s).is_extended_nonnegative + + +def test_atan_rewrite(): + assert atan(x).rewrite(log) == I*(log(1 - I*x)-log(1 + I*x))/2 + assert atan(x).rewrite(asin) == (-asin(1/sqrt(x**2 + 1)) + pi/2)*sqrt(x**2)/x + assert atan(x).rewrite(acos) == sqrt(x**2)*acos(1/sqrt(x**2 + 1))/x + assert atan(x).rewrite(acot) == acot(1/x) + assert atan(x).rewrite(asec) == sqrt(x**2)*asec(sqrt(x**2 + 1))/x + assert atan(x).rewrite(acsc) == (-acsc(sqrt(x**2 + 1)) + pi/2)*sqrt(x**2)/x + + assert atan(-5*I).evalf() == atan(x).rewrite(log).evalf(subs={x:-5*I}) + assert atan(5*I).evalf() == atan(x).rewrite(log).evalf(subs={x:5*I}) + + +def test_atan_fdiff(): + assert atan(x).fdiff() == 1/(x**2 + 1) + raises(ArgumentIndexError, lambda: atan(x).fdiff(2)) + + +def test_atan_leading_term(): + assert atan(x).as_leading_term(x) == x + assert atan(1/x).as_leading_term(x, cdir=1) == pi/2 + assert atan(1/x).as_leading_term(x, cdir=-1) == -pi/2 + # Tests concerning branch points + assert atan(x + I).as_leading_term(x, cdir=1) == -I*log(x)/2 + pi/4 + I*log(2)/2 + assert atan(x + I).as_leading_term(x, cdir=-1) == -I*log(x)/2 - 3*pi/4 + I*log(2)/2 + assert atan(x - I).as_leading_term(x, cdir=1) == I*log(x)/2 + pi/4 - I*log(2)/2 + assert atan(x - I).as_leading_term(x, cdir=-1) == I*log(x)/2 + pi/4 - I*log(2)/2 + # Tests concerning points lying on branch cuts + assert atan(x + 2*I).as_leading_term(x, cdir=1) == I*atanh(2) + assert atan(x + 2*I).as_leading_term(x, cdir=-1) == -pi + I*atanh(2) + assert atan(x - 2*I).as_leading_term(x, cdir=1) == pi - I*atanh(2) + assert atan(x - 2*I).as_leading_term(x, cdir=-1) == -I*atanh(2) + # Tests concerning re(ndir) == 0 + assert atan(2*I - I*x - x**2).as_leading_term(x, cdir=1) == -pi/2 + I*log(3)/2 + assert atan(2*I - I*x - x**2).as_leading_term(x, cdir=-1) == -pi/2 + I*log(3)/2 + + +def test_atan2(): + assert atan2.nargs == FiniteSet(2) + assert atan2(0, 0) is S.NaN + assert atan2(0, 1) == 0 + assert atan2(1, 1) == pi/4 + assert atan2(1, 0) == pi/2 + assert atan2(1, -1) == pi*Rational(3, 4) + assert atan2(0, -1) == pi + assert atan2(-1, -1) == pi*Rational(-3, 4) + assert atan2(-1, 0) == -pi/2 + assert atan2(-1, 1) == -pi/4 + i = symbols('i', imaginary=True) + r = symbols('r', real=True) + eq = atan2(r, i) + ans = -I*log((i + I*r)/sqrt(i**2 + r**2)) + reps = ((r, 2), (i, I)) + assert eq.subs(reps) == ans.subs(reps) + + x = Symbol('x', negative=True) + y = Symbol('y', negative=True) + assert atan2(y, x) == atan(y/x) - pi + y = Symbol('y', nonnegative=True) + assert atan2(y, x) == atan(y/x) + pi + y = Symbol('y') + assert atan2(y, x) == atan2(y, x, evaluate=False) + + u = Symbol("u", positive=True) + assert atan2(0, u) == 0 + u = Symbol("u", negative=True) + assert atan2(0, u) == pi + + assert atan2(y, oo) == 0 + assert atan2(y, -oo)== 2*pi*Heaviside(re(y), S.Half) - pi + + assert atan2(y, x).rewrite(log) == -I*log((x + I*y)/sqrt(x**2 + y**2)) + assert atan2(0, 0) is S.NaN + + ex = atan2(y, x) - arg(x + I*y) + assert ex.subs({x:2, y:3}).rewrite(arg) == 0 + assert ex.subs({x:2, y:3*I}).rewrite(arg) == -pi - I*log(sqrt(5)*I/5) + assert ex.subs({x:2*I, y:3}).rewrite(arg) == -pi/2 - I*log(sqrt(5)*I) + assert ex.subs({x:2*I, y:3*I}).rewrite(arg) == -pi + atan(Rational(2, 3)) + atan(Rational(3, 2)) + i = symbols('i', imaginary=True) + r = symbols('r', real=True) + e = atan2(i, r) + rewrite = e.rewrite(arg) + reps = {i: I, r: -2} + assert rewrite == -I*log(abs(I*i + r)/sqrt(abs(i**2 + r**2))) + arg((I*i + r)/sqrt(i**2 + r**2)) + assert (e - rewrite).subs(reps).equals(0) + + assert atan2(0, x).rewrite(atan) == Piecewise((pi, re(x) < 0), + (0, Ne(x, 0)), + (nan, True)) + assert atan2(0, r).rewrite(atan) == Piecewise((pi, r < 0), (0, Ne(r, 0)), (S.NaN, True)) + assert atan2(0, i),rewrite(atan) == 0 + assert atan2(0, r + i).rewrite(atan) == Piecewise((pi, r < 0), (0, True)) + + assert atan2(y, x).rewrite(atan) == Piecewise( + (2*atan(y/(x + sqrt(x**2 + y**2))), Ne(y, 0)), + (pi, re(x) < 0), + (0, (re(x) > 0) | Ne(im(x), 0)), + (nan, True)) + assert conjugate(atan2(x, y)) == atan2(conjugate(x), conjugate(y)) + + assert diff(atan2(y, x), x) == -y/(x**2 + y**2) + assert diff(atan2(y, x), y) == x/(x**2 + y**2) + + assert simplify(diff(atan2(y, x).rewrite(log), x)) == -y/(x**2 + y**2) + assert simplify(diff(atan2(y, x).rewrite(log), y)) == x/(x**2 + y**2) + + assert str(atan2(1, 2).evalf(5)) == '0.46365' + raises(ArgumentIndexError, lambda: atan2(x, y).fdiff(3)) + +def test_issue_17461(): + class A(Symbol): + is_extended_real = True + + def _eval_evalf(self, prec): + return Float(5.0) + + x = A('X') + y = A('Y') + assert abs(atan2(x, y).evalf() - 0.785398163397448) <= 1e-10 + +def test_acot(): + assert acot(nan) is nan + + assert acot.nargs == FiniteSet(1) + assert acot(-oo) == 0 + assert acot(oo) == 0 + assert acot(zoo) == 0 + assert acot(1) == pi/4 + assert acot(0) == pi/2 + assert acot(sqrt(3)/3) == pi/3 + assert acot(1/sqrt(3)) == pi/3 + assert acot(-1/sqrt(3)) == -pi/3 + assert acot(x).diff(x) == -1/(1 + x**2) + + assert acot(r).is_extended_real is True + + assert acot(I*pi) == -I*acoth(pi) + assert acot(-2*I) == I*acoth(2) + assert acot(x).is_positive is None + assert acot(n).is_positive is False + assert acot(p).is_positive is True + assert acot(I).is_positive is False + assert acot(Rational(1, 4)).is_rational is False + assert unchanged(acot, cot(x)) + assert unchanged(acot, tan(x)) + assert acot(cot(Rational(1, 4))) == Rational(1, 4) + assert acot(tan(Rational(-1, 4))) == Rational(1, 4) - pi/2 + + +def test_acot_rewrite(): + assert acot(x).rewrite(log) == I*(log(1 - I/x)-log(1 + I/x))/2 + assert acot(x).rewrite(asin) == x*(-asin(sqrt(-x**2)/sqrt(-x**2 - 1)) + pi/2)*sqrt(x**(-2)) + assert acot(x).rewrite(acos) == x*sqrt(x**(-2))*acos(sqrt(-x**2)/sqrt(-x**2 - 1)) + assert acot(x).rewrite(atan) == atan(1/x) + assert acot(x).rewrite(asec) == x*sqrt(x**(-2))*asec(sqrt((x**2 + 1)/x**2)) + assert acot(x).rewrite(acsc) == x*(-acsc(sqrt((x**2 + 1)/x**2)) + pi/2)*sqrt(x**(-2)) + + assert acot(-I/5).evalf() == acot(x).rewrite(log).evalf(subs={x:-I/5}) + assert acot(I/5).evalf() == acot(x).rewrite(log).evalf(subs={x:I/5}) + + +def test_acot_fdiff(): + assert acot(x).fdiff() == -1/(x**2 + 1) + raises(ArgumentIndexError, lambda: acot(x).fdiff(2)) + +def test_acot_leading_term(): + assert acot(1/x).as_leading_term(x) == x + # Tests concerning branch points + assert acot(x + I).as_leading_term(x, cdir=1) == I*log(x)/2 + pi/4 - I*log(2)/2 + assert acot(x + I).as_leading_term(x, cdir=-1) == I*log(x)/2 + pi/4 - I*log(2)/2 + assert acot(x - I).as_leading_term(x, cdir=1) == -I*log(x)/2 + pi/4 + I*log(2)/2 + assert acot(x - I).as_leading_term(x, cdir=-1) == -I*log(x)/2 - 3*pi/4 + I*log(2)/2 + # Tests concerning points lying on branch cuts + assert acot(x).as_leading_term(x, cdir=1) == pi/2 + assert acot(x).as_leading_term(x, cdir=-1) == -pi/2 + assert acot(x + I/2).as_leading_term(x, cdir=1) == pi - I*acoth(S(1)/2) + assert acot(x + I/2).as_leading_term(x, cdir=-1) == -I*acoth(S(1)/2) + assert acot(x - I/2).as_leading_term(x, cdir=1) == I*acoth(S(1)/2) + assert acot(x - I/2).as_leading_term(x, cdir=-1) == -pi + I*acoth(S(1)/2) + # Tests concerning re(ndir) == 0 + assert acot(I/2 - I*x - x**2).as_leading_term(x, cdir=1) == -pi/2 - I*log(3)/2 + assert acot(I/2 - I*x - x**2).as_leading_term(x, cdir=-1) == -pi/2 - I*log(3)/2 + + +def test_attributes(): + assert sin(x).args == (x,) + + +def test_sincos_rewrite(): + assert sin(pi/2 - x) == cos(x) + assert sin(pi - x) == sin(x) + assert cos(pi/2 - x) == sin(x) + assert cos(pi - x) == -cos(x) + + +def _check_even_rewrite(func, arg): + """Checks that the expr has been rewritten using f(-x) -> f(x) + arg : -x + """ + return func(arg).args[0] == -arg + + +def _check_odd_rewrite(func, arg): + """Checks that the expr has been rewritten using f(-x) -> -f(x) + arg : -x + """ + return func(arg).func.is_Mul + + +def _check_no_rewrite(func, arg): + """Checks that the expr is not rewritten""" + return func(arg).args[0] == arg + + +def test_evenodd_rewrite(): + a = cos(2) # negative + b = sin(1) # positive + even = [cos] + odd = [sin, tan, cot, asin, atan, acot] + with_minus = [-1, -2**1024 * E, -pi/105, -x*y, -x - y] + for func in even: + for expr in with_minus: + assert _check_even_rewrite(func, expr) + assert _check_no_rewrite(func, a*b) + assert func( + x - y) == func(y - x) # it doesn't matter which form is canonical + for func in odd: + for expr in with_minus: + assert _check_odd_rewrite(func, expr) + assert _check_no_rewrite(func, a*b) + assert func( + x - y) == -func(y - x) # it doesn't matter which form is canonical + + +def test_as_leading_term_issue_5272(): + assert sin(x).as_leading_term(x) == x + assert cos(x).as_leading_term(x) == 1 + assert tan(x).as_leading_term(x) == x + assert cot(x).as_leading_term(x) == 1/x + + +def test_leading_terms(): + assert sin(1/x).as_leading_term(x) == AccumBounds(-1, 1) + assert sin(S.Half).as_leading_term(x) == sin(S.Half) + assert cos(1/x).as_leading_term(x) == AccumBounds(-1, 1) + assert cos(S.Half).as_leading_term(x) == cos(S.Half) + assert sec(1/x).as_leading_term(x) == AccumBounds(S.NegativeInfinity, S.Infinity) + assert csc(1/x).as_leading_term(x) == AccumBounds(S.NegativeInfinity, S.Infinity) + assert tan(1/x).as_leading_term(x) == AccumBounds(S.NegativeInfinity, S.Infinity) + assert cot(1/x).as_leading_term(x) == AccumBounds(S.NegativeInfinity, S.Infinity) + + # https://github.com/sympy/sympy/issues/21038 + f = sin(pi*(x + 4))/(3*x) + assert f.as_leading_term(x) == pi/3 + + +def test_atan2_expansion(): + assert cancel(atan2(x**2, x + 1).diff(x) - atan(x**2/(x + 1)).diff(x)) == 0 + assert cancel(atan(y/x).series(y, 0, 5) - atan2(y, x).series(y, 0, 5) + + atan2(0, x) - atan(0)) == O(y**5) + assert cancel(atan(y/x).series(x, 1, 4) - atan2(y, x).series(x, 1, 4) + + atan2(y, 1) - atan(y)) == O((x - 1)**4, (x, 1)) + assert cancel(atan((y + x)/x).series(x, 1, 3) - atan2(y + x, x).series(x, 1, 3) + + atan2(1 + y, 1) - atan(1 + y)) == O((x - 1)**3, (x, 1)) + assert Matrix([atan2(y, x)]).jacobian([y, x]) == \ + Matrix([[x/(y**2 + x**2), -y/(y**2 + x**2)]]) + + +def test_aseries(): + def t(n, v, d, e): + assert abs( + n(1/v).evalf() - n(1/x).series(x, dir=d).removeO().subs(x, v)) < e + t(atan, 0.1, '+', 1e-5) + t(atan, -0.1, '-', 1e-5) + t(acot, 0.1, '+', 1e-5) + t(acot, -0.1, '-', 1e-5) + + +def test_issue_4420(): + i = Symbol('i', integer=True) + e = Symbol('e', even=True) + o = Symbol('o', odd=True) + + # unknown parity for variable + assert cos(4*i*pi) == 1 + assert sin(4*i*pi) == 0 + assert tan(4*i*pi) == 0 + assert cot(4*i*pi) is zoo + + assert cos(3*i*pi) == cos(pi*i) # +/-1 + assert sin(3*i*pi) == 0 + assert tan(3*i*pi) == 0 + assert cot(3*i*pi) is zoo + + assert cos(4.0*i*pi) == 1 + assert sin(4.0*i*pi) == 0 + assert tan(4.0*i*pi) == 0 + assert cot(4.0*i*pi) is zoo + + assert cos(3.0*i*pi) == cos(pi*i) # +/-1 + assert sin(3.0*i*pi) == 0 + assert tan(3.0*i*pi) == 0 + assert cot(3.0*i*pi) is zoo + + assert cos(4.5*i*pi) == cos(0.5*pi*i) + assert sin(4.5*i*pi) == sin(0.5*pi*i) + assert tan(4.5*i*pi) == tan(0.5*pi*i) + assert cot(4.5*i*pi) == cot(0.5*pi*i) + + # parity of variable is known + assert cos(4*e*pi) == 1 + assert sin(4*e*pi) == 0 + assert tan(4*e*pi) == 0 + assert cot(4*e*pi) is zoo + + assert cos(3*e*pi) == 1 + assert sin(3*e*pi) == 0 + assert tan(3*e*pi) == 0 + assert cot(3*e*pi) is zoo + + assert cos(4.0*e*pi) == 1 + assert sin(4.0*e*pi) == 0 + assert tan(4.0*e*pi) == 0 + assert cot(4.0*e*pi) is zoo + + assert cos(3.0*e*pi) == 1 + assert sin(3.0*e*pi) == 0 + assert tan(3.0*e*pi) == 0 + assert cot(3.0*e*pi) is zoo + + assert cos(4.5*e*pi) == cos(0.5*pi*e) + assert sin(4.5*e*pi) == sin(0.5*pi*e) + assert tan(4.5*e*pi) == tan(0.5*pi*e) + assert cot(4.5*e*pi) == cot(0.5*pi*e) + + assert cos(4*o*pi) == 1 + assert sin(4*o*pi) == 0 + assert tan(4*o*pi) == 0 + assert cot(4*o*pi) is zoo + + assert cos(3*o*pi) == -1 + assert sin(3*o*pi) == 0 + assert tan(3*o*pi) == 0 + assert cot(3*o*pi) is zoo + + assert cos(4.0*o*pi) == 1 + assert sin(4.0*o*pi) == 0 + assert tan(4.0*o*pi) == 0 + assert cot(4.0*o*pi) is zoo + + assert cos(3.0*o*pi) == -1 + assert sin(3.0*o*pi) == 0 + assert tan(3.0*o*pi) == 0 + assert cot(3.0*o*pi) is zoo + + assert cos(4.5*o*pi) == cos(0.5*pi*o) + assert sin(4.5*o*pi) == sin(0.5*pi*o) + assert tan(4.5*o*pi) == tan(0.5*pi*o) + assert cot(4.5*o*pi) == cot(0.5*pi*o) + + # x could be imaginary + assert cos(4*x*pi) == cos(4*pi*x) + assert sin(4*x*pi) == sin(4*pi*x) + assert tan(4*x*pi) == tan(4*pi*x) + assert cot(4*x*pi) == cot(4*pi*x) + + assert cos(3*x*pi) == cos(3*pi*x) + assert sin(3*x*pi) == sin(3*pi*x) + assert tan(3*x*pi) == tan(3*pi*x) + assert cot(3*x*pi) == cot(3*pi*x) + + assert cos(4.0*x*pi) == cos(4.0*pi*x) + assert sin(4.0*x*pi) == sin(4.0*pi*x) + assert tan(4.0*x*pi) == tan(4.0*pi*x) + assert cot(4.0*x*pi) == cot(4.0*pi*x) + + assert cos(3.0*x*pi) == cos(3.0*pi*x) + assert sin(3.0*x*pi) == sin(3.0*pi*x) + assert tan(3.0*x*pi) == tan(3.0*pi*x) + assert cot(3.0*x*pi) == cot(3.0*pi*x) + + assert cos(4.5*x*pi) == cos(4.5*pi*x) + assert sin(4.5*x*pi) == sin(4.5*pi*x) + assert tan(4.5*x*pi) == tan(4.5*pi*x) + assert cot(4.5*x*pi) == cot(4.5*pi*x) + + +def test_inverses(): + raises(AttributeError, lambda: sin(x).inverse()) + raises(AttributeError, lambda: cos(x).inverse()) + assert tan(x).inverse() == atan + assert cot(x).inverse() == acot + raises(AttributeError, lambda: csc(x).inverse()) + raises(AttributeError, lambda: sec(x).inverse()) + assert asin(x).inverse() == sin + assert acos(x).inverse() == cos + assert atan(x).inverse() == tan + assert acot(x).inverse() == cot + + +def test_real_imag(): + a, b = symbols('a b', real=True) + z = a + b*I + for deep in [True, False]: + assert sin( + z).as_real_imag(deep=deep) == (sin(a)*cosh(b), cos(a)*sinh(b)) + assert cos( + z).as_real_imag(deep=deep) == (cos(a)*cosh(b), -sin(a)*sinh(b)) + assert tan(z).as_real_imag(deep=deep) == (sin(2*a)/(cos(2*a) + + cosh(2*b)), sinh(2*b)/(cos(2*a) + cosh(2*b))) + assert cot(z).as_real_imag(deep=deep) == (-sin(2*a)/(cos(2*a) - + cosh(2*b)), sinh(2*b)/(cos(2*a) - cosh(2*b))) + assert sin(a).as_real_imag(deep=deep) == (sin(a), 0) + assert cos(a).as_real_imag(deep=deep) == (cos(a), 0) + assert tan(a).as_real_imag(deep=deep) == (tan(a), 0) + assert cot(a).as_real_imag(deep=deep) == (cot(a), 0) + + +@slow +def test_sincos_rewrite_sqrt(): + # equivalent to testing rewrite(pow) + for p in [1, 3, 5, 17]: + for t in [1, 8]: + n = t*p + # The vertices `exp(i*pi/n)` of a regular `n`-gon can + # be expressed by means of nested square roots if and + # only if `n` is a product of Fermat primes, `p`, and + # powers of 2, `t'. The code aims to check all vertices + # not belonging to an `m`-gon for `m < n`(`gcd(i, n) == 1`). + # For large `n` this makes the test too slow, therefore + # the vertices are limited to those of index `i < 10`. + for i in range(1, min((n + 1)//2 + 1, 10)): + if 1 == gcd(i, n): + x = i*pi/n + s1 = sin(x).rewrite(sqrt) + c1 = cos(x).rewrite(sqrt) + assert not s1.has(cos, sin), "fails for %d*pi/%d" % (i, n) + assert not c1.has(cos, sin), "fails for %d*pi/%d" % (i, n) + assert 1e-3 > abs(sin(x.evalf(5)) - s1.evalf(2)), "fails for %d*pi/%d" % (i, n) + assert 1e-3 > abs(cos(x.evalf(5)) - c1.evalf(2)), "fails for %d*pi/%d" % (i, n) + assert cos(pi/14).rewrite(sqrt) == sqrt(cos(pi/7)/2 + S.Half) + assert cos(pi*Rational(-15, 2)/11, evaluate=False).rewrite( + sqrt) == -sqrt(-cos(pi*Rational(4, 11))/2 + S.Half) + assert cos(Mul(2, pi, S.Half, evaluate=False), evaluate=False).rewrite( + sqrt) == -1 + e = cos(pi/3/17) # don't use pi/15 since that is caught at instantiation + a = ( + -3*sqrt(-sqrt(17) + 17)*sqrt(sqrt(17) + 17)/64 - + 3*sqrt(34)*sqrt(sqrt(17) + 17)/128 - sqrt(sqrt(17) + + 17)*sqrt(-8*sqrt(2)*sqrt(sqrt(17) + 17) - sqrt(2)*sqrt(-sqrt(17) + 17) + + sqrt(34)*sqrt(-sqrt(17) + 17) + 6*sqrt(17) + 34)/64 - sqrt(-sqrt(17) + + 17)*sqrt(-8*sqrt(2)*sqrt(sqrt(17) + 17) - sqrt(2)*sqrt(-sqrt(17) + + 17) + sqrt(34)*sqrt(-sqrt(17) + 17) + 6*sqrt(17) + 34)/128 - Rational(1, 32) + + sqrt(2)*sqrt(-8*sqrt(2)*sqrt(sqrt(17) + 17) - sqrt(2)*sqrt(-sqrt(17) + + 17) + sqrt(34)*sqrt(-sqrt(17) + 17) + 6*sqrt(17) + 34)/64 + + 3*sqrt(2)*sqrt(sqrt(17) + 17)/128 + sqrt(34)*sqrt(-sqrt(17) + 17)/128 + + 13*sqrt(2)*sqrt(-sqrt(17) + 17)/128 + sqrt(17)*sqrt(-sqrt(17) + + 17)*sqrt(-8*sqrt(2)*sqrt(sqrt(17) + 17) - sqrt(2)*sqrt(-sqrt(17) + 17) + + sqrt(34)*sqrt(-sqrt(17) + 17) + 6*sqrt(17) + 34)/128 + 5*sqrt(17)/32 + + sqrt(3)*sqrt(-sqrt(2)*sqrt(sqrt(17) + 17)*sqrt(sqrt(17)/32 + + sqrt(2)*sqrt(-sqrt(17) + 17)/32 + + sqrt(2)*sqrt(-8*sqrt(2)*sqrt(sqrt(17) + 17) - sqrt(2)*sqrt(-sqrt(17) + + 17) + sqrt(34)*sqrt(-sqrt(17) + 17) + 6*sqrt(17) + 34)/32 + Rational(15, 32))/8 - + 5*sqrt(2)*sqrt(sqrt(17)/32 + sqrt(2)*sqrt(-sqrt(17) + 17)/32 + + sqrt(2)*sqrt(-8*sqrt(2)*sqrt(sqrt(17) + 17) - sqrt(2)*sqrt(-sqrt(17) + + 17) + sqrt(34)*sqrt(-sqrt(17) + 17) + 6*sqrt(17) + 34)/32 + + Rational(15, 32))*sqrt(-8*sqrt(2)*sqrt(sqrt(17) + 17) - sqrt(2)*sqrt(-sqrt(17) + + 17) + sqrt(34)*sqrt(-sqrt(17) + 17) + 6*sqrt(17) + 34)/64 - + 3*sqrt(2)*sqrt(-sqrt(17) + 17)*sqrt(sqrt(17)/32 + + sqrt(2)*sqrt(-sqrt(17) + 17)/32 + + sqrt(2)*sqrt(-8*sqrt(2)*sqrt(sqrt(17) + 17) - sqrt(2)*sqrt(-sqrt(17) + + 17) + sqrt(34)*sqrt(-sqrt(17) + 17) + 6*sqrt(17) + 34)/32 + Rational(15, 32))/32 + + sqrt(34)*sqrt(sqrt(17)/32 + sqrt(2)*sqrt(-sqrt(17) + 17)/32 + + sqrt(2)*sqrt(-8*sqrt(2)*sqrt(sqrt(17) + 17) - sqrt(2)*sqrt(-sqrt(17) + + 17) + sqrt(34)*sqrt(-sqrt(17) + 17) + 6*sqrt(17) + 34)/32 + + Rational(15, 32))*sqrt(-8*sqrt(2)*sqrt(sqrt(17) + 17) - sqrt(2)*sqrt(-sqrt(17) + + 17) + sqrt(34)*sqrt(-sqrt(17) + 17) + 6*sqrt(17) + 34)/64 + + sqrt(sqrt(17)/32 + sqrt(2)*sqrt(-sqrt(17) + 17)/32 + + sqrt(2)*sqrt(-8*sqrt(2)*sqrt(sqrt(17) + 17) - sqrt(2)*sqrt(-sqrt(17) + + 17) + sqrt(34)*sqrt(-sqrt(17) + 17) + 6*sqrt(17) + 34)/32 + Rational(15, 32))/2 + + S.Half + sqrt(-sqrt(17) + 17)*sqrt(sqrt(17)/32 + sqrt(2)*sqrt(-sqrt(17) + + 17)/32 + sqrt(2)*sqrt(-8*sqrt(2)*sqrt(sqrt(17) + 17) - + sqrt(2)*sqrt(-sqrt(17) + 17) + sqrt(34)*sqrt(-sqrt(17) + 17) + + 6*sqrt(17) + 34)/32 + Rational(15, 32))*sqrt(-8*sqrt(2)*sqrt(sqrt(17) + 17) - + sqrt(2)*sqrt(-sqrt(17) + 17) + sqrt(34)*sqrt(-sqrt(17) + 17) + + 6*sqrt(17) + 34)/32 + sqrt(34)*sqrt(-sqrt(17) + 17)*sqrt(sqrt(17)/32 + + sqrt(2)*sqrt(-sqrt(17) + 17)/32 + + sqrt(2)*sqrt(-8*sqrt(2)*sqrt(sqrt(17) + 17) - sqrt(2)*sqrt(-sqrt(17) + + 17) + sqrt(34)*sqrt(-sqrt(17) + 17) + 6*sqrt(17) + 34)/32 + + Rational(15, 32))/32)/2) + assert e.rewrite(sqrt) == a + assert e.n() == a.n() + # coverage of fermatCoords: multiplicity > 1; the following could be + # different but that portion of the code should be tested in some way + assert cos(pi/9/17).rewrite(sqrt) == \ + sin(pi/9)*sin(pi*Rational(2, 17)) + cos(pi/9)*cos(pi*Rational(2, 17)) + + +@slow +def test_sincos_rewrite_sqrt_257(): + assert cos(pi/257).rewrite(sqrt).evalf(64) == cos(pi/257).evalf(64) + + +@slow +def test_tancot_rewrite_sqrt(): + # equivalent to testing rewrite(pow) + for p in [1, 3, 5, 17]: + for t in [1, 8]: + n = t*p + for i in range(1, min((n + 1)//2 + 1, 10)): + if 1 == gcd(i, n): + x = i*pi/n + if 2*i != n and 3*i != 2*n: + t1 = tan(x).rewrite(sqrt) + assert not t1.has(cot, tan), "fails for %d*pi/%d" % (i, n) + assert 1e-3 > abs( tan(x.evalf(7)) - t1.evalf(4) ), "fails for %d*pi/%d" % (i, n) + if i != 0 and i != n: + c1 = cot(x).rewrite(sqrt) + assert not c1.has(cot, tan), "fails for %d*pi/%d" % (i, n) + assert 1e-3 > abs( cot(x.evalf(7)) - c1.evalf(4) ), "fails for %d*pi/%d" % (i, n) + + +def test_sec(): + x = symbols('x', real=True) + z = symbols('z') + + assert sec.nargs == FiniteSet(1) + + assert sec(zoo) is nan + assert sec(0) == 1 + assert sec(pi) == -1 + assert sec(pi/2) is zoo + assert sec(-pi/2) is zoo + assert sec(pi/6) == 2*sqrt(3)/3 + assert sec(pi/3) == 2 + assert sec(pi*Rational(5, 2)) is zoo + assert sec(pi*Rational(9, 7)) == -sec(pi*Rational(2, 7)) + assert sec(pi*Rational(3, 4)) == -sqrt(2) # issue 8421 + assert sec(I) == 1/cosh(1) + assert sec(x*I) == 1/cosh(x) + assert sec(-x) == sec(x) + + assert sec(asec(x)) == x + + assert sec(z).conjugate() == sec(conjugate(z)) + + assert (sec(z).as_real_imag() == + (cos(re(z))*cosh(im(z))/(sin(re(z))**2*sinh(im(z))**2 + + cos(re(z))**2*cosh(im(z))**2), + sin(re(z))*sinh(im(z))/(sin(re(z))**2*sinh(im(z))**2 + + cos(re(z))**2*cosh(im(z))**2))) + + assert sec(x).expand(trig=True) == 1/cos(x) + assert sec(2*x).expand(trig=True) == 1/(2*cos(x)**2 - 1) + + assert sec(x).is_extended_real == True + assert sec(z).is_real == None + + assert sec(a).is_algebraic is None + assert sec(na).is_algebraic is False + + assert sec(x).as_leading_term() == sec(x) + + assert sec(0, evaluate=False).is_finite == True + assert sec(x).is_finite == None + assert sec(pi/2, evaluate=False).is_finite == False + + assert series(sec(x), x, x0=0, n=6) == 1 + x**2/2 + 5*x**4/24 + O(x**6) + + # https://github.com/sympy/sympy/issues/7166 + assert series(sqrt(sec(x))) == 1 + x**2/4 + 7*x**4/96 + O(x**6) + + # https://github.com/sympy/sympy/issues/7167 + assert (series(sqrt(sec(x)), x, x0=pi*3/2, n=4) == + 1/sqrt(x - pi*Rational(3, 2)) + (x - pi*Rational(3, 2))**Rational(3, 2)/12 + + (x - pi*Rational(3, 2))**Rational(7, 2)/160 + O((x - pi*Rational(3, 2))**4, (x, pi*Rational(3, 2)))) + + assert sec(x).diff(x) == tan(x)*sec(x) + + # Taylor Term checks + assert sec(z).taylor_term(4, z) == 5*z**4/24 + assert sec(z).taylor_term(6, z) == 61*z**6/720 + assert sec(z).taylor_term(5, z) == 0 + + +def test_sec_rewrite(): + assert sec(x).rewrite(exp) == 1/(exp(I*x)/2 + exp(-I*x)/2) + assert sec(x).rewrite(cos) == 1/cos(x) + assert sec(x).rewrite(tan) == (tan(x/2)**2 + 1)/(-tan(x/2)**2 + 1) + assert sec(x).rewrite(pow) == sec(x) + assert sec(x).rewrite(sqrt) == sec(x) + assert sec(z).rewrite(cot) == (cot(z/2)**2 + 1)/(cot(z/2)**2 - 1) + assert sec(x).rewrite(sin) == 1 / sin(x + pi / 2, evaluate=False) + assert sec(x).rewrite(tan) == (tan(x / 2)**2 + 1) / (-tan(x / 2)**2 + 1) + assert sec(x).rewrite(csc) == csc(-x + pi/2, evaluate=False) + assert sec(x).rewrite(besselj) == Piecewise( + (sqrt(2)/(sqrt(pi*x)*besselj(-S.Half, x)), Ne(x, 0)), + (1, True) + ) + assert sec(x).rewrite(besselj).subs(x, 0) == sec(0) + + +def test_sec_fdiff(): + assert sec(x).fdiff() == tan(x)*sec(x) + raises(ArgumentIndexError, lambda: sec(x).fdiff(2)) + + +def test_csc(): + x = symbols('x', real=True) + z = symbols('z') + + # https://github.com/sympy/sympy/issues/6707 + cosecant = csc('x') + alternate = 1/sin('x') + assert cosecant.equals(alternate) == True + assert alternate.equals(cosecant) == True + + assert csc.nargs == FiniteSet(1) + + assert csc(0) is zoo + assert csc(pi) is zoo + assert csc(zoo) is nan + + assert csc(pi/2) == 1 + assert csc(-pi/2) == -1 + assert csc(pi/6) == 2 + assert csc(pi/3) == 2*sqrt(3)/3 + assert csc(pi*Rational(5, 2)) == 1 + assert csc(pi*Rational(9, 7)) == -csc(pi*Rational(2, 7)) + assert csc(pi*Rational(3, 4)) == sqrt(2) # issue 8421 + assert csc(I) == -I/sinh(1) + assert csc(x*I) == -I/sinh(x) + assert csc(-x) == -csc(x) + + assert csc(acsc(x)) == x + + assert csc(z).conjugate() == csc(conjugate(z)) + + assert (csc(z).as_real_imag() == + (sin(re(z))*cosh(im(z))/(sin(re(z))**2*cosh(im(z))**2 + + cos(re(z))**2*sinh(im(z))**2), + -cos(re(z))*sinh(im(z))/(sin(re(z))**2*cosh(im(z))**2 + + cos(re(z))**2*sinh(im(z))**2))) + + assert csc(x).expand(trig=True) == 1/sin(x) + assert csc(2*x).expand(trig=True) == 1/(2*sin(x)*cos(x)) + + assert csc(x).is_extended_real == True + assert csc(z).is_real == None + + assert csc(a).is_algebraic is None + assert csc(na).is_algebraic is False + + assert csc(x).as_leading_term() == csc(x) + + assert csc(0, evaluate=False).is_finite == False + assert csc(x).is_finite == None + assert csc(pi/2, evaluate=False).is_finite == True + + assert series(csc(x), x, x0=pi/2, n=6) == \ + 1 + (x - pi/2)**2/2 + 5*(x - pi/2)**4/24 + O((x - pi/2)**6, (x, pi/2)) + assert series(csc(x), x, x0=0, n=6) == \ + 1/x + x/6 + 7*x**3/360 + 31*x**5/15120 + O(x**6) + + assert csc(x).diff(x) == -cot(x)*csc(x) + + assert csc(x).taylor_term(2, x) == 0 + assert csc(x).taylor_term(3, x) == 7*x**3/360 + assert csc(x).taylor_term(5, x) == 31*x**5/15120 + raises(ArgumentIndexError, lambda: csc(x).fdiff(2)) + + +def test_asec(): + z = Symbol('z', zero=True) + assert asec(z) is zoo + assert asec(nan) is nan + assert asec(1) == 0 + assert asec(-1) == pi + assert asec(oo) == pi/2 + assert asec(-oo) == pi/2 + assert asec(zoo) == pi/2 + + assert asec(sec(pi*Rational(13, 4))) == pi*Rational(3, 4) + assert asec(1 + sqrt(5)) == pi*Rational(2, 5) + assert asec(2/sqrt(3)) == pi/6 + assert asec(sqrt(4 - 2*sqrt(2))) == pi/8 + assert asec(-sqrt(4 + 2*sqrt(2))) == pi*Rational(5, 8) + assert asec(sqrt(2 + 2*sqrt(5)/5)) == pi*Rational(3, 10) + assert asec(-sqrt(2 + 2*sqrt(5)/5)) == pi*Rational(7, 10) + assert asec(sqrt(2) - sqrt(6)) == pi*Rational(11, 12) + + for d in [3, 4, 6]: + for num in range(d): + if gcd(num, d) == 1: + assert asec(sec(num*pi/d)) == num*pi/d + assert asec(-sec(num*pi/d)) == pi - num*pi/d + assert asec(csc(num*pi/d)) == pi/2 - acsc(csc(num*pi/d)) + assert asec(-csc(num*pi/d)) == pi/2 - acsc(-csc(num*pi/d)) + + assert asec(x).diff(x) == 1/(x**2*sqrt(1 - 1/x**2)) + + assert asec(x).rewrite(log) == I*log(sqrt(1 - 1/x**2) + I/x) + pi/2 + assert asec(x).rewrite(asin) == -asin(1/x) + pi/2 + assert asec(x).rewrite(acos) == acos(1/x) + assert asec(x).rewrite(atan) == \ + pi*(1 - sqrt(x**2)/x)/2 + sqrt(x**2)*atan(sqrt(x**2 - 1))/x + assert asec(x).rewrite(acot) == \ + pi*(1 - sqrt(x**2)/x)/2 + sqrt(x**2)*acot(1/sqrt(x**2 - 1))/x + assert asec(x).rewrite(acsc) == -acsc(x) + pi/2 + raises(ArgumentIndexError, lambda: asec(x).fdiff(2)) + + +def test_asec_is_real(): + assert asec(S.Half).is_real is False + n = Symbol('n', positive=True, integer=True) + assert asec(n).is_extended_real is True + assert asec(x).is_real is None + assert asec(r).is_real is None + t = Symbol('t', real=False, finite=True) + assert asec(t).is_real is False + + +def test_asec_leading_term(): + assert asec(1/x).as_leading_term(x) == pi/2 + # Tests concerning branch points + assert asec(x + 1).as_leading_term(x) == sqrt(2)*sqrt(x) + assert asec(x - 1).as_leading_term(x) == pi + # Tests concerning points lying on branch cuts + assert asec(x).as_leading_term(x, cdir=1) == -I*log(x) + I*log(2) + assert asec(x).as_leading_term(x, cdir=-1) == I*log(x) + 2*pi - I*log(2) + assert asec(I*x + 1/2).as_leading_term(x, cdir=1) == asec(1/2) + assert asec(-I*x + 1/2).as_leading_term(x, cdir=1) == -asec(1/2) + assert asec(I*x - 1/2).as_leading_term(x, cdir=1) == 2*pi - asec(-1/2) + assert asec(-I*x - 1/2).as_leading_term(x, cdir=1) == asec(-1/2) + # Tests concerning im(ndir) == 0 + assert asec(-I*x**2 + x - S(1)/2).as_leading_term(x, cdir=1) == pi + I*log(2 - sqrt(3)) + assert asec(-I*x**2 + x - S(1)/2).as_leading_term(x, cdir=-1) == pi + I*log(2 - sqrt(3)) + + +def test_asec_series(): + assert asec(x).series(x, 0, 9) == \ + I*log(2) - I*log(x) - I*x**2/4 - 3*I*x**4/32 \ + - 5*I*x**6/96 - 35*I*x**8/1024 + O(x**9) + t4 = asec(x).taylor_term(4, x) + assert t4 == -3*I*x**4/32 + assert asec(x).taylor_term(6, x, t4, 0) == -5*I*x**6/96 + + +def test_acsc(): + assert acsc(nan) is nan + assert acsc(1) == pi/2 + assert acsc(-1) == -pi/2 + assert acsc(oo) == 0 + assert acsc(-oo) == 0 + assert acsc(zoo) == 0 + assert acsc(0) is zoo + + assert acsc(csc(3)) == -3 + pi + assert acsc(csc(4)) == -4 + pi + assert acsc(csc(6)) == 6 - 2*pi + assert unchanged(acsc, csc(x)) + assert unchanged(acsc, sec(x)) + + assert acsc(2/sqrt(3)) == pi/3 + assert acsc(csc(pi*Rational(13, 4))) == -pi/4 + assert acsc(sqrt(2 + 2*sqrt(5)/5)) == pi/5 + assert acsc(-sqrt(2 + 2*sqrt(5)/5)) == -pi/5 + assert acsc(-2) == -pi/6 + assert acsc(-sqrt(4 + 2*sqrt(2))) == -pi/8 + assert acsc(sqrt(4 - 2*sqrt(2))) == pi*Rational(3, 8) + assert acsc(1 + sqrt(5)) == pi/10 + assert acsc(sqrt(2) - sqrt(6)) == pi*Rational(-5, 12) + + assert acsc(x).diff(x) == -1/(x**2*sqrt(1 - 1/x**2)) + + assert acsc(x).rewrite(log) == -I*log(sqrt(1 - 1/x**2) + I/x) + assert acsc(x).rewrite(asin) == asin(1/x) + assert acsc(x).rewrite(acos) == -acos(1/x) + pi/2 + assert acsc(x).rewrite(atan) == \ + (-atan(sqrt(x**2 - 1)) + pi/2)*sqrt(x**2)/x + assert acsc(x).rewrite(acot) == (-acot(1/sqrt(x**2 - 1)) + pi/2)*sqrt(x**2)/x + assert acsc(x).rewrite(asec) == -asec(x) + pi/2 + raises(ArgumentIndexError, lambda: acsc(x).fdiff(2)) + + +def test_csc_rewrite(): + assert csc(x).rewrite(pow) == csc(x) + assert csc(x).rewrite(sqrt) == csc(x) + + assert csc(x).rewrite(exp) == 2*I/(exp(I*x) - exp(-I*x)) + assert csc(x).rewrite(sin) == 1/sin(x) + assert csc(x).rewrite(tan) == (tan(x/2)**2 + 1)/(2*tan(x/2)) + assert csc(x).rewrite(cot) == (cot(x/2)**2 + 1)/(2*cot(x/2)) + assert csc(x).rewrite(cos) == 1/cos(x - pi/2, evaluate=False) + assert csc(x).rewrite(sec) == sec(-x + pi/2, evaluate=False) + + # issue 17349 + assert csc(1 - exp(-besselj(I, I))).rewrite(cos) == \ + -1/cos(-pi/2 - 1 + cos(I*besselj(I, I)) + + I*cos(-pi/2 + I*besselj(I, I), evaluate=False), evaluate=False) + assert csc(x).rewrite(besselj) == sqrt(2)/(sqrt(pi*x)*besselj(S.Half, x)) + assert csc(x).rewrite(besselj).subs(x, 0) == csc(0) + + +def test_acsc_leading_term(): + assert acsc(1/x).as_leading_term(x) == x + # Tests concerning branch points + assert acsc(x + 1).as_leading_term(x) == pi/2 + assert acsc(x - 1).as_leading_term(x) == -pi/2 + # Tests concerning points lying on branch cuts + assert acsc(x).as_leading_term(x, cdir=1) == I*log(x) + pi/2 - I*log(2) + assert acsc(x).as_leading_term(x, cdir=-1) == -I*log(x) - 3*pi/2 + I*log(2) + assert acsc(I*x + 1/2).as_leading_term(x, cdir=1) == acsc(1/2) + assert acsc(-I*x + 1/2).as_leading_term(x, cdir=1) == pi - acsc(1/2) + assert acsc(I*x - 1/2).as_leading_term(x, cdir=1) == -pi - acsc(-1/2) + assert acsc(-I*x - 1/2).as_leading_term(x, cdir=1) == -acsc(1/2) + # Tests concerning im(ndir) == 0 + assert acsc(-I*x**2 + x - S(1)/2).as_leading_term(x, cdir=1) == -pi/2 + I*log(sqrt(3) + 2) + assert acsc(-I*x**2 + x - S(1)/2).as_leading_term(x, cdir=-1) == -pi/2 + I*log(sqrt(3) + 2) + + +def test_acsc_series(): + assert acsc(x).series(x, 0, 9) == \ + -I*log(2) + pi/2 + I*log(x) + I*x**2/4 \ + + 3*I*x**4/32 + 5*I*x**6/96 + 35*I*x**8/1024 + O(x**9) + t6 = acsc(x).taylor_term(6, x) + assert t6 == 5*I*x**6/96 + assert acsc(x).taylor_term(8, x, t6, 0) == 35*I*x**8/1024 + + +def test_asin_nseries(): + assert asin(x + 2)._eval_nseries(x, 4, None, I) == -asin(2) + pi + \ + sqrt(3)*I*x/3 - sqrt(3)*I*x**2/9 + sqrt(3)*I*x**3/18 + O(x**4) + assert asin(x + 2)._eval_nseries(x, 4, None, -I) == asin(2) - \ + sqrt(3)*I*x/3 + sqrt(3)*I*x**2/9 - sqrt(3)*I*x**3/18 + O(x**4) + assert asin(x - 2)._eval_nseries(x, 4, None, I) == -asin(2) - \ + sqrt(3)*I*x/3 - sqrt(3)*I*x**2/9 - sqrt(3)*I*x**3/18 + O(x**4) + assert asin(x - 2)._eval_nseries(x, 4, None, -I) == asin(2) - pi + \ + sqrt(3)*I*x/3 + sqrt(3)*I*x**2/9 + sqrt(3)*I*x**3/18 + O(x**4) + # testing nseries for asin at branch points + assert asin(1 + x)._eval_nseries(x, 3, None) == pi/2 - sqrt(2)*sqrt(-x) - \ + sqrt(2)*(-x)**(S(3)/2)/12 - 3*sqrt(2)*(-x)**(S(5)/2)/160 + O(x**3) + assert asin(-1 + x)._eval_nseries(x, 3, None) == -pi/2 + sqrt(2)*sqrt(x) + \ + sqrt(2)*x**(S(3)/2)/12 + 3*sqrt(2)*x**(S(5)/2)/160 + O(x**3) + assert asin(exp(x))._eval_nseries(x, 3, None) == pi/2 - sqrt(2)*sqrt(-x) + \ + sqrt(2)*(-x)**(S(3)/2)/6 - sqrt(2)*(-x)**(S(5)/2)/120 + O(x**3) + assert asin(-exp(x))._eval_nseries(x, 3, None) == -pi/2 + sqrt(2)*sqrt(-x) - \ + sqrt(2)*(-x)**(S(3)/2)/6 + sqrt(2)*(-x)**(S(5)/2)/120 + O(x**3) + + +def test_acos_nseries(): + assert acos(x + 2)._eval_nseries(x, 4, None, I) == -acos(2) - sqrt(3)*I*x/3 + \ + sqrt(3)*I*x**2/9 - sqrt(3)*I*x**3/18 + O(x**4) + assert acos(x + 2)._eval_nseries(x, 4, None, -I) == acos(2) + sqrt(3)*I*x/3 - \ + sqrt(3)*I*x**2/9 + sqrt(3)*I*x**3/18 + O(x**4) + assert acos(x - 2)._eval_nseries(x, 4, None, I) == acos(-2) + sqrt(3)*I*x/3 + \ + sqrt(3)*I*x**2/9 + sqrt(3)*I*x**3/18 + O(x**4) + assert acos(x - 2)._eval_nseries(x, 4, None, -I) == -acos(-2) + 2*pi - \ + sqrt(3)*I*x/3 - sqrt(3)*I*x**2/9 - sqrt(3)*I*x**3/18 + O(x**4) + # testing nseries for acos at branch points + assert acos(1 + x)._eval_nseries(x, 3, None) == sqrt(2)*sqrt(-x) + \ + sqrt(2)*(-x)**(S(3)/2)/12 + 3*sqrt(2)*(-x)**(S(5)/2)/160 + O(x**3) + assert acos(-1 + x)._eval_nseries(x, 3, None) == pi - sqrt(2)*sqrt(x) - \ + sqrt(2)*x**(S(3)/2)/12 - 3*sqrt(2)*x**(S(5)/2)/160 + O(x**3) + assert acos(exp(x))._eval_nseries(x, 3, None) == sqrt(2)*sqrt(-x) - \ + sqrt(2)*(-x)**(S(3)/2)/6 + sqrt(2)*(-x)**(S(5)/2)/120 + O(x**3) + assert acos(-exp(x))._eval_nseries(x, 3, None) == pi - sqrt(2)*sqrt(-x) + \ + sqrt(2)*(-x)**(S(3)/2)/6 - sqrt(2)*(-x)**(S(5)/2)/120 + O(x**3) + + +def test_atan_nseries(): + assert atan(x + 2*I)._eval_nseries(x, 4, None, 1) == I*atanh(2) - x/3 - \ + 2*I*x**2/9 + 13*x**3/81 + O(x**4) + assert atan(x + 2*I)._eval_nseries(x, 4, None, -1) == I*atanh(2) - pi - \ + x/3 - 2*I*x**2/9 + 13*x**3/81 + O(x**4) + assert atan(x - 2*I)._eval_nseries(x, 4, None, 1) == -I*atanh(2) + pi - \ + x/3 + 2*I*x**2/9 + 13*x**3/81 + O(x**4) + assert atan(x - 2*I)._eval_nseries(x, 4, None, -1) == -I*atanh(2) - x/3 + \ + 2*I*x**2/9 + 13*x**3/81 + O(x**4) + assert atan(1/x)._eval_nseries(x, 2, None, 1) == pi/2 - x + O(x**2) + assert atan(1/x)._eval_nseries(x, 2, None, -1) == -pi/2 - x + O(x**2) + # testing nseries for atan at branch points + assert atan(x + I)._eval_nseries(x, 4, None) == I*log(2)/2 + pi/4 - \ + I*log(x)/2 + x/4 + I*x**2/16 - x**3/48 + O(x**4) + assert atan(x - I)._eval_nseries(x, 4, None) == -I*log(2)/2 + pi/4 + \ + I*log(x)/2 + x/4 - I*x**2/16 - x**3/48 + O(x**4) + + +def test_acot_nseries(): + assert acot(x + S(1)/2*I)._eval_nseries(x, 4, None, 1) == -I*acoth(S(1)/2) + \ + pi - 4*x/3 + 8*I*x**2/9 + 112*x**3/81 + O(x**4) + assert acot(x + S(1)/2*I)._eval_nseries(x, 4, None, -1) == -I*acoth(S(1)/2) - \ + 4*x/3 + 8*I*x**2/9 + 112*x**3/81 + O(x**4) + assert acot(x - S(1)/2*I)._eval_nseries(x, 4, None, 1) == I*acoth(S(1)/2) - \ + 4*x/3 - 8*I*x**2/9 + 112*x**3/81 + O(x**4) + assert acot(x - S(1)/2*I)._eval_nseries(x, 4, None, -1) == I*acoth(S(1)/2) - \ + pi - 4*x/3 - 8*I*x**2/9 + 112*x**3/81 + O(x**4) + assert acot(x)._eval_nseries(x, 2, None, 1) == pi/2 - x + O(x**2) + assert acot(x)._eval_nseries(x, 2, None, -1) == -pi/2 - x + O(x**2) + # testing nseries for acot at branch points + assert acot(x + I)._eval_nseries(x, 4, None) == -I*log(2)/2 + pi/4 + \ + I*log(x)/2 - x/4 - I*x**2/16 + x**3/48 + O(x**4) + assert acot(x - I)._eval_nseries(x, 4, None) == I*log(2)/2 + pi/4 - \ + I*log(x)/2 - x/4 + I*x**2/16 + x**3/48 + O(x**4) + + +def test_asec_nseries(): + assert asec(x + S(1)/2)._eval_nseries(x, 4, None, I) == asec(S(1)/2) - \ + 4*sqrt(3)*I*x/3 + 8*sqrt(3)*I*x**2/9 - 16*sqrt(3)*I*x**3/9 + O(x**4) + assert asec(x + S(1)/2)._eval_nseries(x, 4, None, -I) == -asec(S(1)/2) + \ + 4*sqrt(3)*I*x/3 - 8*sqrt(3)*I*x**2/9 + 16*sqrt(3)*I*x**3/9 + O(x**4) + assert asec(x - S(1)/2)._eval_nseries(x, 4, None, I) == -asec(-S(1)/2) + \ + 2*pi + 4*sqrt(3)*I*x/3 + 8*sqrt(3)*I*x**2/9 + 16*sqrt(3)*I*x**3/9 + O(x**4) + assert asec(x - S(1)/2)._eval_nseries(x, 4, None, -I) == asec(-S(1)/2) - \ + 4*sqrt(3)*I*x/3 - 8*sqrt(3)*I*x**2/9 - 16*sqrt(3)*I*x**3/9 + O(x**4) + # testing nseries for asec at branch points + assert asec(1 + x)._eval_nseries(x, 3, None) == sqrt(2)*sqrt(x) - \ + 5*sqrt(2)*x**(S(3)/2)/12 + 43*sqrt(2)*x**(S(5)/2)/160 + O(x**3) + assert asec(-1 + x)._eval_nseries(x, 3, None) == pi - sqrt(2)*sqrt(-x) + \ + 5*sqrt(2)*(-x)**(S(3)/2)/12 - 43*sqrt(2)*(-x)**(S(5)/2)/160 + O(x**3) + assert asec(exp(x))._eval_nseries(x, 3, None) == sqrt(2)*sqrt(x) - \ + sqrt(2)*x**(S(3)/2)/6 + sqrt(2)*x**(S(5)/2)/120 + O(x**3) + assert asec(-exp(x))._eval_nseries(x, 3, None) == pi - sqrt(2)*sqrt(x) + \ + sqrt(2)*x**(S(3)/2)/6 - sqrt(2)*x**(S(5)/2)/120 + O(x**3) + + +def test_acsc_nseries(): + assert acsc(x + S(1)/2)._eval_nseries(x, 4, None, I) == acsc(S(1)/2) + \ + 4*sqrt(3)*I*x/3 - 8*sqrt(3)*I*x**2/9 + 16*sqrt(3)*I*x**3/9 + O(x**4) + assert acsc(x + S(1)/2)._eval_nseries(x, 4, None, -I) == -acsc(S(1)/2) + \ + pi - 4*sqrt(3)*I*x/3 + 8*sqrt(3)*I*x**2/9 - 16*sqrt(3)*I*x**3/9 + O(x**4) + assert acsc(x - S(1)/2)._eval_nseries(x, 4, None, I) == acsc(S(1)/2) - pi -\ + 4*sqrt(3)*I*x/3 - 8*sqrt(3)*I*x**2/9 - 16*sqrt(3)*I*x**3/9 + O(x**4) + assert acsc(x - S(1)/2)._eval_nseries(x, 4, None, -I) == -acsc(S(1)/2) + \ + 4*sqrt(3)*I*x/3 + 8*sqrt(3)*I*x**2/9 + 16*sqrt(3)*I*x**3/9 + O(x**4) + # testing nseries for acsc at branch points + assert acsc(1 + x)._eval_nseries(x, 3, None) == pi/2 - sqrt(2)*sqrt(x) + \ + 5*sqrt(2)*x**(S(3)/2)/12 - 43*sqrt(2)*x**(S(5)/2)/160 + O(x**3) + assert acsc(-1 + x)._eval_nseries(x, 3, None) == -pi/2 + sqrt(2)*sqrt(-x) - \ + 5*sqrt(2)*(-x)**(S(3)/2)/12 + 43*sqrt(2)*(-x)**(S(5)/2)/160 + O(x**3) + assert acsc(exp(x))._eval_nseries(x, 3, None) == pi/2 - sqrt(2)*sqrt(x) + \ + sqrt(2)*x**(S(3)/2)/6 - sqrt(2)*x**(S(5)/2)/120 + O(x**3) + assert acsc(-exp(x))._eval_nseries(x, 3, None) == -pi/2 + sqrt(2)*sqrt(x) - \ + sqrt(2)*x**(S(3)/2)/6 + sqrt(2)*x**(S(5)/2)/120 + O(x**3) + + +def test_issue_8653(): + n = Symbol('n', integer=True) + assert sin(n).is_irrational is None + assert cos(n).is_irrational is None + assert tan(n).is_irrational is None + + +def test_issue_9157(): + n = Symbol('n', integer=True, positive=True) + assert atan(n - 1).is_nonnegative is True + + +def test_trig_period(): + x, y = symbols('x, y') + + assert sin(x).period() == 2*pi + assert cos(x).period() == 2*pi + assert tan(x).period() == pi + assert cot(x).period() == pi + assert sec(x).period() == 2*pi + assert csc(x).period() == 2*pi + assert sin(2*x).period() == pi + assert cot(4*x - 6).period() == pi/4 + assert cos((-3)*x).period() == pi*Rational(2, 3) + assert cos(x*y).period(x) == 2*pi/abs(y) + assert sin(3*x*y + 2*pi).period(y) == 2*pi/abs(3*x) + assert tan(3*x).period(y) is S.Zero + raises(NotImplementedError, lambda: sin(x**2).period(x)) + + +def test_issue_7171(): + assert sin(x).rewrite(sqrt) == sin(x) + assert sin(x).rewrite(pow) == sin(x) + + +def test_issue_11864(): + w, k = symbols('w, k', real=True) + F = Piecewise((1, Eq(2*pi*k, 0)), (sin(pi*k)/(pi*k), True)) + soln = Piecewise((1, Eq(2*pi*k, 0)), (sinc(pi*k), True)) + assert F.rewrite(sinc) == soln + +def test_real_assumptions(): + z = Symbol('z', real=False, finite=True) + assert sin(z).is_real is None + assert cos(z).is_real is None + assert tan(z).is_real is False + assert sec(z).is_real is None + assert csc(z).is_real is None + assert cot(z).is_real is False + assert asin(p).is_real is None + assert asin(n).is_real is None + assert asec(p).is_real is None + assert asec(n).is_real is None + assert acos(p).is_real is None + assert acos(n).is_real is None + assert acsc(p).is_real is None + assert acsc(n).is_real is None + assert atan(p).is_positive is True + assert atan(n).is_negative is True + assert acot(p).is_positive is True + assert acot(n).is_negative is True + +def test_issue_14320(): + assert asin(sin(2)) == -2 + pi and (-pi/2 <= -2 + pi <= pi/2) and sin(2) == sin(-2 + pi) + assert asin(cos(2)) == -2 + pi/2 and (-pi/2 <= -2 + pi/2 <= pi/2) and cos(2) == sin(-2 + pi/2) + assert acos(sin(2)) == -pi/2 + 2 and (0 <= -pi/2 + 2 <= pi) and sin(2) == cos(-pi/2 + 2) + assert acos(cos(20)) == -6*pi + 20 and (0 <= -6*pi + 20 <= pi) and cos(20) == cos(-6*pi + 20) + assert acos(cos(30)) == -30 + 10*pi and (0 <= -30 + 10*pi <= pi) and cos(30) == cos(-30 + 10*pi) + + assert atan(tan(17)) == -5*pi + 17 and (-pi/2 < -5*pi + 17 < pi/2) and tan(17) == tan(-5*pi + 17) + assert atan(tan(15)) == -5*pi + 15 and (-pi/2 < -5*pi + 15 < pi/2) and tan(15) == tan(-5*pi + 15) + assert atan(cot(12)) == -12 + pi*Rational(7, 2) and (-pi/2 < -12 + pi*Rational(7, 2) < pi/2) and cot(12) == tan(-12 + pi*Rational(7, 2)) + assert acot(cot(15)) == -5*pi + 15 and (-pi/2 < -5*pi + 15 <= pi/2) and cot(15) == cot(-5*pi + 15) + assert acot(tan(19)) == -19 + pi*Rational(13, 2) and (-pi/2 < -19 + pi*Rational(13, 2) <= pi/2) and tan(19) == cot(-19 + pi*Rational(13, 2)) + + assert asec(sec(11)) == -11 + 4*pi and (0 <= -11 + 4*pi <= pi) and cos(11) == cos(-11 + 4*pi) + assert asec(csc(13)) == -13 + pi*Rational(9, 2) and (0 <= -13 + pi*Rational(9, 2) <= pi) and sin(13) == cos(-13 + pi*Rational(9, 2)) + assert acsc(csc(14)) == -4*pi + 14 and (-pi/2 <= -4*pi + 14 <= pi/2) and sin(14) == sin(-4*pi + 14) + assert acsc(sec(10)) == pi*Rational(-7, 2) + 10 and (-pi/2 <= pi*Rational(-7, 2) + 10 <= pi/2) and cos(10) == sin(pi*Rational(-7, 2) + 10) + +def test_issue_14543(): + assert sec(2*pi + 11) == sec(11) + assert sec(2*pi - 11) == sec(11) + assert sec(pi + 11) == -sec(11) + assert sec(pi - 11) == -sec(11) + + assert csc(2*pi + 17) == csc(17) + assert csc(2*pi - 17) == -csc(17) + assert csc(pi + 17) == -csc(17) + assert csc(pi - 17) == csc(17) + + x = Symbol('x') + assert csc(pi/2 + x) == sec(x) + assert csc(pi/2 - x) == sec(x) + assert csc(pi*Rational(3, 2) + x) == -sec(x) + assert csc(pi*Rational(3, 2) - x) == -sec(x) + + assert sec(pi/2 - x) == csc(x) + assert sec(pi/2 + x) == -csc(x) + assert sec(pi*Rational(3, 2) + x) == csc(x) + assert sec(pi*Rational(3, 2) - x) == -csc(x) + + +def test_as_real_imag(): + # This is for https://github.com/sympy/sympy/issues/17142 + # If it start failing again in irrelevant builds or in the master + # please open up the issue again. + expr = atan(I/(I + I*tan(1))) + assert expr.as_real_imag() == (expr, 0) + + +def test_issue_18746(): + e3 = cos(S.Pi*(x/4 + 1/4)) + assert e3.period() == 8 + + +def test_issue_25833(): + assert limit(atan(x**2), x, oo) == pi/2 + assert limit(atan(x**2 - 1), x, oo) == pi/2 + assert limit(atan(log(2**x)/log(2*x)), x, oo) == pi/2 + + +def test_issue_25847(): + #atan + assert atan(sin(x)/x).as_leading_term(x) == pi/4 + raises(PoleError, lambda: atan(exp(1/x)).as_leading_term(x)) + + #asin + assert asin(sin(x)/x).as_leading_term(x) == pi/2 + raises(PoleError, lambda: asin(exp(1/x)).as_leading_term(x)) + + #acos + assert acos(sin(x)/x).as_leading_term(x) == 0 + raises(PoleError, lambda: acos(exp(1/x)).as_leading_term(x)) + + #acot + assert acot(sin(x)/x).as_leading_term(x) == pi/4 + raises(PoleError, lambda: acot(exp(1/x)).as_leading_term(x)) + + #asec + assert asec(sin(x)/x).as_leading_term(x) == 0 + raises(PoleError, lambda: asec(exp(1/x)).as_leading_term(x)) + + #acsc + assert acsc(sin(x)/x).as_leading_term(x) == pi/2 + raises(PoleError, lambda: acsc(exp(1/x)).as_leading_term(x)) + +def test_issue_23843(): + #atan + assert atan(x + I).series(x, oo) == -16/(5*x**5) - 2*I/x**4 + 4/(3*x**3) + I/x**2 - 1/x + pi/2 + O(x**(-6), (x, oo)) + assert atan(x + I).series(x, -oo) == -16/(5*x**5) - 2*I/x**4 + 4/(3*x**3) + I/x**2 - 1/x - pi/2 + O(x**(-6), (x, -oo)) + assert atan(x - I).series(x, oo) == -16/(5*x**5) + 2*I/x**4 + 4/(3*x**3) - I/x**2 - 1/x + pi/2 + O(x**(-6), (x, oo)) + assert atan(x - I).series(x, -oo) == -16/(5*x**5) + 2*I/x**4 + 4/(3*x**3) - I/x**2 - 1/x - pi/2 + O(x**(-6), (x, -oo)) + + #acot + assert acot(x + I).series(x, oo) == 16/(5*x**5) + 2*I/x**4 - 4/(3*x**3) - I/x**2 + 1/x + O(x**(-6), (x, oo)) + assert acot(x + I).series(x, -oo) == 16/(5*x**5) + 2*I/x**4 - 4/(3*x**3) - I/x**2 + 1/x + O(x**(-6), (x, -oo)) + assert acot(x - I).series(x, oo) == 16/(5*x**5) - 2*I/x**4 - 4/(3*x**3) + I/x**2 + 1/x + O(x**(-6), (x, oo)) + assert acot(x - I).series(x, -oo) == 16/(5*x**5) - 2*I/x**4 - 4/(3*x**3) + I/x**2 + 1/x + O(x**(-6), (x, -oo)) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/trigonometric.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/trigonometric.py new file mode 100644 index 0000000000000000000000000000000000000000..24e5db81f17a215f5b344291f0e9bf4752e5317d --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/elementary/trigonometric.py @@ -0,0 +1,3627 @@ +from __future__ import annotations +from sympy.core.add import Add +from sympy.core.cache import cacheit +from sympy.core.expr import Expr +from sympy.core.function import DefinedFunction, ArgumentIndexError, PoleError, expand_mul +from sympy.core.logic import fuzzy_not, fuzzy_or, FuzzyBool, fuzzy_and +from sympy.core.mod import Mod +from sympy.core.numbers import Rational, pi, Integer, Float, equal_valued +from sympy.core.relational import Ne, Eq +from sympy.core.singleton import S +from sympy.core.symbol import Symbol, Dummy +from sympy.core.sympify import sympify +from sympy.functions.combinatorial.factorials import factorial, RisingFactorial +from sympy.functions.combinatorial.numbers import bernoulli, euler +from sympy.functions.elementary.complexes import arg as arg_f, im, re +from sympy.functions.elementary.exponential import log, exp +from sympy.functions.elementary.integers import floor +from sympy.functions.elementary.miscellaneous import sqrt, Min, Max +from sympy.functions.elementary.piecewise import Piecewise +from sympy.functions.elementary._trigonometric_special import ( + cos_table, ipartfrac, fermat_coords) +from sympy.logic.boolalg import And +from sympy.ntheory import factorint +from sympy.polys.specialpolys import symmetric_poly +from sympy.utilities.iterables import numbered_symbols + + +############################################################################### +########################## UTILITIES ########################################## +############################################################################### + + +def _imaginary_unit_as_coefficient(arg): + """ Helper to extract symbolic coefficient for imaginary unit """ + if isinstance(arg, Float): + return None + else: + return arg.as_coefficient(S.ImaginaryUnit) + +############################################################################### +########################## TRIGONOMETRIC FUNCTIONS ############################ +############################################################################### + + +class TrigonometricFunction(DefinedFunction): + """Base class for trigonometric functions. """ + + unbranched = True + _singularities = (S.ComplexInfinity,) + + def _eval_is_rational(self): + s = self.func(*self.args) + if s.func == self.func: + if s.args[0].is_rational and fuzzy_not(s.args[0].is_zero): + return False + else: + return s.is_rational + + def _eval_is_algebraic(self): + s = self.func(*self.args) + if s.func == self.func: + if fuzzy_not(self.args[0].is_zero) and self.args[0].is_algebraic: + return False + pi_coeff = _pi_coeff(self.args[0]) + if pi_coeff is not None and pi_coeff.is_rational: + return True + else: + return s.is_algebraic + + def _eval_expand_complex(self, deep=True, **hints): + re_part, im_part = self.as_real_imag(deep=deep, **hints) + return re_part + im_part*S.ImaginaryUnit + + def _as_real_imag(self, deep=True, **hints): + if self.args[0].is_extended_real: + if deep: + hints['complex'] = False + return (self.args[0].expand(deep, **hints), S.Zero) + else: + return (self.args[0], S.Zero) + if deep: + re, im = self.args[0].expand(deep, **hints).as_real_imag() + else: + re, im = self.args[0].as_real_imag() + return (re, im) + + def _period(self, general_period, symbol=None): + f = expand_mul(self.args[0]) + if symbol is None: + symbol = tuple(f.free_symbols)[0] + + if not f.has(symbol): + return S.Zero + + if f == symbol: + return general_period + + if symbol in f.free_symbols: + if f.is_Mul: + g, h = f.as_independent(symbol) + if h == symbol: + return general_period/abs(g) + + if f.is_Add: + a, h = f.as_independent(symbol) + g, h = h.as_independent(symbol, as_Add=False) + if h == symbol: + return general_period/abs(g) + + raise NotImplementedError("Use the periodicity function instead.") + + +@cacheit +def _table2(): + # If nested sqrt's are worse than un-evaluation + # you can require q to be in (1, 2, 3, 4, 6, 12) + # q <= 12, q=15, q=20, q=24, q=30, q=40, q=60, q=120 return + # expressions with 2 or fewer sqrt nestings. + return { + 12: (3, 4), + 20: (4, 5), + 30: (5, 6), + 15: (6, 10), + 24: (6, 8), + 40: (8, 10), + 60: (20, 30), + 120: (40, 60) + } + + +def _peeloff_pi(arg): + r""" + Split ARG into two parts, a "rest" and a multiple of $\pi$. + This assumes ARG to be an Add. + The multiple of $\pi$ returned in the second position is always a Rational. + + Examples + ======== + + >>> from sympy.functions.elementary.trigonometric import _peeloff_pi + >>> from sympy import pi + >>> from sympy.abc import x, y + >>> _peeloff_pi(x + pi/2) + (x, 1/2) + >>> _peeloff_pi(x + 2*pi/3 + pi*y) + (x + pi*y + pi/6, 1/2) + + """ + pi_coeff = S.Zero + rest_terms = [] + for a in Add.make_args(arg): + K = a.coeff(pi) + if K and K.is_rational: + pi_coeff += K + else: + rest_terms.append(a) + + if pi_coeff is S.Zero: + return arg, S.Zero + + m1 = (pi_coeff % S.Half) + m2 = pi_coeff - m1 + if m2.is_integer or ((2*m2).is_integer and m2.is_even is False): + return Add(*(rest_terms + [m1*pi])), m2 + return arg, S.Zero + + +def _pi_coeff(arg: Expr, cycles: int = 1) -> Expr | None: + r""" + When arg is a Number times $\pi$ (e.g. $3\pi/2$) then return the Number + normalized to be in the range $[0, 2]$, else `None`. + + When an even multiple of $\pi$ is encountered, if it is multiplying + something with known parity then the multiple is returned as 0 otherwise + as 2. + + Examples + ======== + + >>> from sympy.functions.elementary.trigonometric import _pi_coeff + >>> from sympy import pi, Dummy + >>> from sympy.abc import x + >>> _pi_coeff(3*x*pi) + 3*x + >>> _pi_coeff(11*pi/7) + 11/7 + >>> _pi_coeff(-11*pi/7) + 3/7 + >>> _pi_coeff(4*pi) + 0 + >>> _pi_coeff(5*pi) + 1 + >>> _pi_coeff(5.0*pi) + 1 + >>> _pi_coeff(5.5*pi) + 3/2 + >>> _pi_coeff(2 + pi) + + >>> _pi_coeff(2*Dummy(integer=True)*pi) + 2 + >>> _pi_coeff(2*Dummy(even=True)*pi) + 0 + + """ + if arg is pi: + return S.One + elif not arg: + return S.Zero + elif arg.is_Mul: + cx = arg.coeff(pi) + if cx: + c, x = cx.as_coeff_Mul() # pi is not included as coeff + if c.is_Float: + # recast exact binary fractions to Rationals + f = abs(c) % 1 + if f != 0: + p = -int(round(log(f, 2).evalf())) + m = 2**p + cm = c*m + i = int(cm) + if equal_valued(i, cm): + c = Rational(i, m) + cx = c*x + else: + c = Rational(int(c)) + cx = c*x + if x.is_integer: + c2 = c % 2 + if c2 == 1: + return x + elif not c2: + if x.is_even is not None: # known parity + return S.Zero + return Integer(2) + else: + return c2*x + return cx + elif arg.is_zero: + return S.Zero + return None + + +class sin(TrigonometricFunction): + r""" + The sine function. + + Returns the sine of x (measured in radians). + + Explanation + =========== + + This function will evaluate automatically in the + case $x/\pi$ is some rational number [4]_. For example, + if $x$ is a multiple of $\pi$, $\pi/2$, $\pi/3$, $\pi/4$, and $\pi/6$. + + Examples + ======== + + >>> from sympy import sin, pi + >>> from sympy.abc import x + >>> sin(x**2).diff(x) + 2*x*cos(x**2) + >>> sin(1).diff(x) + 0 + >>> sin(pi) + 0 + >>> sin(pi/2) + 1 + >>> sin(pi/6) + 1/2 + >>> sin(pi/12) + -sqrt(2)/4 + sqrt(6)/4 + + + See Also + ======== + + csc, cos, sec, tan, cot + asin, acsc, acos, asec, atan, acot, atan2 + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Trigonometric_functions + .. [2] https://dlmf.nist.gov/4.14 + .. [3] https://functions.wolfram.com/ElementaryFunctions/Sin + .. [4] https://mathworld.wolfram.com/TrigonometryAngles.html + + """ + + def period(self, symbol=None): + return self._period(2*pi, symbol) + + def fdiff(self, argindex=1): + if argindex == 1: + return cos(self.args[0]) + else: + raise ArgumentIndexError(self, argindex) + + @classmethod + def eval(cls, arg): + from sympy.calculus.accumulationbounds import AccumBounds + from sympy.sets.setexpr import SetExpr + if arg.is_Number: + if arg is S.NaN: + return S.NaN + elif arg.is_zero: + return S.Zero + elif arg in (S.Infinity, S.NegativeInfinity): + return AccumBounds(-1, 1) + + if arg is S.ComplexInfinity: + return S.NaN + + if isinstance(arg, AccumBounds): + from sympy.sets.sets import FiniteSet + min, max = arg.min, arg.max + d = floor(min/(2*pi)) + if min is not S.NegativeInfinity: + min = min - d*2*pi + if max is not S.Infinity: + max = max - d*2*pi + if AccumBounds(min, max).intersection(FiniteSet(pi/2, pi*Rational(5, 2))) \ + is not S.EmptySet and \ + AccumBounds(min, max).intersection(FiniteSet(pi*Rational(3, 2), + pi*Rational(7, 2))) is not S.EmptySet: + return AccumBounds(-1, 1) + elif AccumBounds(min, max).intersection(FiniteSet(pi/2, pi*Rational(5, 2))) \ + is not S.EmptySet: + return AccumBounds(Min(sin(min), sin(max)), 1) + elif AccumBounds(min, max).intersection(FiniteSet(pi*Rational(3, 2), pi*Rational(8, 2))) \ + is not S.EmptySet: + return AccumBounds(-1, Max(sin(min), sin(max))) + else: + return AccumBounds(Min(sin(min), sin(max)), + Max(sin(min), sin(max))) + elif isinstance(arg, SetExpr): + return arg._eval_func(cls) + + if arg.could_extract_minus_sign(): + return -cls(-arg) + + i_coeff = _imaginary_unit_as_coefficient(arg) + if i_coeff is not None: + from sympy.functions.elementary.hyperbolic import sinh + return S.ImaginaryUnit*sinh(i_coeff) + + pi_coeff = _pi_coeff(arg) + if pi_coeff is not None: + if pi_coeff.is_integer: + return S.Zero + + if (2*pi_coeff).is_integer: + # is_even-case handled above as then pi_coeff.is_integer, + # so check if known to be not even + if pi_coeff.is_even is False: + return S.NegativeOne**(pi_coeff - S.Half) + + if not pi_coeff.is_Rational: + narg = pi_coeff*pi + if narg != arg: + return cls(narg) + return None + + # https://github.com/sympy/sympy/issues/6048 + # transform a sine to a cosine, to avoid redundant code + if pi_coeff.is_Rational: + x = pi_coeff % 2 + if x > 1: + return -cls((x % 1)*pi) + if 2*x > 1: + return cls((1 - x)*pi) + narg = ((pi_coeff + Rational(3, 2)) % 2)*pi + result = cos(narg) + if not isinstance(result, cos): + return result + if pi_coeff*pi != arg: + return cls(pi_coeff*pi) + return None + + if arg.is_Add: + x, m = _peeloff_pi(arg) + if m: + m = m*pi + return sin(m)*cos(x) + cos(m)*sin(x) + + if arg.is_zero: + return S.Zero + + if isinstance(arg, asin): + return arg.args[0] + + if isinstance(arg, atan): + x = arg.args[0] + return x/sqrt(1 + x**2) + + if isinstance(arg, atan2): + y, x = arg.args + return y/sqrt(x**2 + y**2) + + if isinstance(arg, acos): + x = arg.args[0] + return sqrt(1 - x**2) + + if isinstance(arg, acot): + x = arg.args[0] + return 1/(sqrt(1 + 1/x**2)*x) + + if isinstance(arg, acsc): + x = arg.args[0] + return 1/x + + if isinstance(arg, asec): + x = arg.args[0] + return sqrt(1 - 1/x**2) + + @staticmethod + @cacheit + def taylor_term(n, x, *previous_terms): + if n < 0 or n % 2 == 0: + return S.Zero + else: + x = sympify(x) + + if len(previous_terms) > 2: + p = previous_terms[-2] + return -p*x**2/(n*(n - 1)) + else: + return S.NegativeOne**(n//2)*x**n/factorial(n) + + def _eval_nseries(self, x, n, logx, cdir=0): + arg = self.args[0] + if logx is not None: + arg = arg.subs(log(x), logx) + if arg.subs(x, 0).has(S.NaN, S.ComplexInfinity): + raise PoleError("Cannot expand %s around 0" % (self)) + return super()._eval_nseries(x, n=n, logx=logx, cdir=cdir) + + def _eval_rewrite_as_exp(self, arg, **kwargs): + from sympy.functions.elementary.hyperbolic import HyperbolicFunction + I = S.ImaginaryUnit + if isinstance(arg, (TrigonometricFunction, HyperbolicFunction)): + arg = arg.func(arg.args[0]).rewrite(exp) + return (exp(arg*I) - exp(-arg*I))/(2*I) + + def _eval_rewrite_as_Pow(self, arg, **kwargs): + if isinstance(arg, log): + I = S.ImaginaryUnit + x = arg.args[0] + return I*x**-I/2 - I*x**I /2 + + def _eval_rewrite_as_cos(self, arg, **kwargs): + return cos(arg - pi/2, evaluate=False) + + def _eval_rewrite_as_tan(self, arg, **kwargs): + tan_half = tan(S.Half*arg) + return 2*tan_half/(1 + tan_half**2) + + def _eval_rewrite_as_sincos(self, arg, **kwargs): + return sin(arg)*cos(arg)/cos(arg) + + def _eval_rewrite_as_cot(self, arg, **kwargs): + cot_half = cot(S.Half*arg) + return Piecewise((0, And(Eq(im(arg), 0), Eq(Mod(arg, pi), 0))), + (2*cot_half/(1 + cot_half**2), True)) + + def _eval_rewrite_as_pow(self, arg, **kwargs): + return self.rewrite(cos, **kwargs).rewrite(pow, **kwargs) + + def _eval_rewrite_as_sqrt(self, arg, **kwargs): + return self.rewrite(cos, **kwargs).rewrite(sqrt, **kwargs) + + def _eval_rewrite_as_csc(self, arg, **kwargs): + return 1/csc(arg) + + def _eval_rewrite_as_sec(self, arg, **kwargs): + return 1/sec(arg - pi/2, evaluate=False) + + def _eval_rewrite_as_sinc(self, arg, **kwargs): + return arg*sinc(arg) + + def _eval_rewrite_as_besselj(self, arg, **kwargs): + from sympy.functions.special.bessel import besselj + return sqrt(pi*arg/2)*besselj(S.Half, arg) + + def _eval_conjugate(self): + return self.func(self.args[0].conjugate()) + + def as_real_imag(self, deep=True, **hints): + from sympy.functions.elementary.hyperbolic import cosh, sinh + re, im = self._as_real_imag(deep=deep, **hints) + return (sin(re)*cosh(im), cos(re)*sinh(im)) + + def _eval_expand_trig(self, **hints): + from sympy.functions.special.polynomials import chebyshevt, chebyshevu + arg = self.args[0] + x = None + if arg.is_Add: # TODO, implement more if deep stuff here + # TODO: Do this more efficiently for more than two terms + x, y = arg.as_two_terms() + sx = sin(x, evaluate=False)._eval_expand_trig() + sy = sin(y, evaluate=False)._eval_expand_trig() + cx = cos(x, evaluate=False)._eval_expand_trig() + cy = cos(y, evaluate=False)._eval_expand_trig() + return sx*cy + sy*cx + elif arg.is_Mul: + n, x = arg.as_coeff_Mul(rational=True) + if n.is_Integer: # n will be positive because of .eval + # canonicalization + + # See https://mathworld.wolfram.com/Multiple-AngleFormulas.html + if n.is_odd: + return S.NegativeOne**((n - 1)/2)*chebyshevt(n, sin(x)) + else: + return expand_mul(S.NegativeOne**(n/2 - 1)*cos(x)* + chebyshevu(n - 1, sin(x)), deep=False) + return sin(arg) + + def _eval_as_leading_term(self, x, logx, cdir): + from sympy.calculus.accumulationbounds import AccumBounds + arg = self.args[0] + x0 = arg.subs(x, 0).cancel() + n = x0/pi + if n.is_integer: + lt = (arg - n*pi).as_leading_term(x) + return (S.NegativeOne**n)*lt + if x0 is S.ComplexInfinity: + x0 = arg.limit(x, 0, dir='-' if re(cdir).is_negative else '+') + if x0 in [S.Infinity, S.NegativeInfinity]: + return AccumBounds(-1, 1) + return self.func(x0) if x0.is_finite else self + + def _eval_is_extended_real(self): + if self.args[0].is_extended_real: + return True + + def _eval_is_finite(self): + arg = self.args[0] + if arg.is_extended_real: + return True + + def _eval_is_zero(self): + rest, pi_mult = _peeloff_pi(self.args[0]) + if rest.is_zero: + return pi_mult.is_integer + + def _eval_is_complex(self): + if self.args[0].is_extended_real \ + or self.args[0].is_complex: + return True + + +class cos(TrigonometricFunction): + """ + The cosine function. + + Returns the cosine of x (measured in radians). + + Explanation + =========== + + See :func:`sin` for notes about automatic evaluation. + + Examples + ======== + + >>> from sympy import cos, pi + >>> from sympy.abc import x + >>> cos(x**2).diff(x) + -2*x*sin(x**2) + >>> cos(1).diff(x) + 0 + >>> cos(pi) + -1 + >>> cos(pi/2) + 0 + >>> cos(2*pi/3) + -1/2 + >>> cos(pi/12) + sqrt(2)/4 + sqrt(6)/4 + + See Also + ======== + + sin, csc, sec, tan, cot + asin, acsc, acos, asec, atan, acot, atan2 + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Trigonometric_functions + .. [2] https://dlmf.nist.gov/4.14 + .. [3] https://functions.wolfram.com/ElementaryFunctions/Cos + + """ + + def period(self, symbol=None): + return self._period(2*pi, symbol) + + def fdiff(self, argindex=1): + if argindex == 1: + return -sin(self.args[0]) + else: + raise ArgumentIndexError(self, argindex) + + @classmethod + def eval(cls, arg): + from sympy.functions.special.polynomials import chebyshevt + from sympy.calculus.accumulationbounds import AccumBounds + from sympy.sets.setexpr import SetExpr + if arg.is_Number: + if arg is S.NaN: + return S.NaN + elif arg.is_zero: + return S.One + elif arg in (S.Infinity, S.NegativeInfinity): + # In this case it is better to return AccumBounds(-1, 1) + # rather than returning S.NaN, since AccumBounds(-1, 1) + # preserves the information that sin(oo) is between + # -1 and 1, where S.NaN does not do that. + return AccumBounds(-1, 1) + + if arg is S.ComplexInfinity: + return S.NaN + + if isinstance(arg, AccumBounds): + return sin(arg + pi/2) + elif isinstance(arg, SetExpr): + return arg._eval_func(cls) + + if arg.is_extended_real and arg.is_finite is False: + return AccumBounds(-1, 1) + + if arg.could_extract_minus_sign(): + return cls(-arg) + + i_coeff = _imaginary_unit_as_coefficient(arg) + if i_coeff is not None: + from sympy.functions.elementary.hyperbolic import cosh + return cosh(i_coeff) + + pi_coeff = _pi_coeff(arg) + if pi_coeff is not None: + if pi_coeff.is_integer: + return (S.NegativeOne)**pi_coeff + + if (2*pi_coeff).is_integer: + # is_even-case handled above as then pi_coeff.is_integer, + # so check if known to be not even + if pi_coeff.is_even is False: + return S.Zero + + if not pi_coeff.is_Rational: + narg = pi_coeff*pi + if narg != arg: + return cls(narg) + return None + + # cosine formula ##################### + # https://github.com/sympy/sympy/issues/6048 + # explicit calculations are performed for + # cos(k pi/n) for n = 8,10,12,15,20,24,30,40,60,120 + # Some other exact values like cos(k pi/240) can be + # calculated using a partial-fraction decomposition + # by calling cos( X ).rewrite(sqrt) + if pi_coeff.is_Rational: + q = pi_coeff.q + p = pi_coeff.p % (2*q) + if p > q: + narg = (pi_coeff - 1)*pi + return -cls(narg) + if 2*p > q: + narg = (1 - pi_coeff)*pi + return -cls(narg) + + # If nested sqrt's are worse than un-evaluation + # you can require q to be in (1, 2, 3, 4, 6, 12) + # q <= 12, q=15, q=20, q=24, q=30, q=40, q=60, q=120 return + # expressions with 2 or fewer sqrt nestings. + table2 = _table2() + if q in table2: + a, b = table2[q] + a, b = p*pi/a, p*pi/b + nvala, nvalb = cls(a), cls(b) + if None in (nvala, nvalb): + return None + return nvala*nvalb + cls(pi/2 - a)*cls(pi/2 - b) + + if q > 12: + return None + + cst_table_some = { + 3: S.Half, + 5: (sqrt(5) + 1) / 4, + } + if q in cst_table_some: + cts = cst_table_some[pi_coeff.q] + return chebyshevt(pi_coeff.p, cts).expand() + + if 0 == q % 2: + narg = (pi_coeff*2)*pi + nval = cls(narg) + if None == nval: + return None + x = (2*pi_coeff + 1)/2 + sign_cos = (-1)**((-1 if x < 0 else 1)*int(abs(x))) + return sign_cos*sqrt( (1 + nval)/2 ) + return None + + if arg.is_Add: + x, m = _peeloff_pi(arg) + if m: + m = m*pi + return cos(m)*cos(x) - sin(m)*sin(x) + + if arg.is_zero: + return S.One + + if isinstance(arg, acos): + return arg.args[0] + + if isinstance(arg, atan): + x = arg.args[0] + return 1/sqrt(1 + x**2) + + if isinstance(arg, atan2): + y, x = arg.args + return x/sqrt(x**2 + y**2) + + if isinstance(arg, asin): + x = arg.args[0] + return sqrt(1 - x ** 2) + + if isinstance(arg, acot): + x = arg.args[0] + return 1/sqrt(1 + 1/x**2) + + if isinstance(arg, acsc): + x = arg.args[0] + return sqrt(1 - 1/x**2) + + if isinstance(arg, asec): + x = arg.args[0] + return 1/x + + @staticmethod + @cacheit + def taylor_term(n, x, *previous_terms): + if n < 0 or n % 2 == 1: + return S.Zero + else: + x = sympify(x) + + if len(previous_terms) > 2: + p = previous_terms[-2] + return -p*x**2/(n*(n - 1)) + else: + return S.NegativeOne**(n//2)*x**n/factorial(n) + + def _eval_nseries(self, x, n, logx, cdir=0): + arg = self.args[0] + if logx is not None: + arg = arg.subs(log(x), logx) + if arg.subs(x, 0).has(S.NaN, S.ComplexInfinity): + raise PoleError("Cannot expand %s around 0" % (self)) + return super()._eval_nseries(x, n=n, logx=logx, cdir=cdir) + + def _eval_rewrite_as_exp(self, arg, **kwargs): + I = S.ImaginaryUnit + from sympy.functions.elementary.hyperbolic import HyperbolicFunction + if isinstance(arg, (TrigonometricFunction, HyperbolicFunction)): + arg = arg.func(arg.args[0]).rewrite(exp, **kwargs) + return (exp(arg*I) + exp(-arg*I))/2 + + def _eval_rewrite_as_Pow(self, arg, **kwargs): + if isinstance(arg, log): + I = S.ImaginaryUnit + x = arg.args[0] + return x**I/2 + x**-I/2 + + def _eval_rewrite_as_sin(self, arg, **kwargs): + return sin(arg + pi/2, evaluate=False) + + def _eval_rewrite_as_tan(self, arg, **kwargs): + tan_half = tan(S.Half*arg)**2 + return (1 - tan_half)/(1 + tan_half) + + def _eval_rewrite_as_sincos(self, arg, **kwargs): + return sin(arg)*cos(arg)/sin(arg) + + def _eval_rewrite_as_cot(self, arg, **kwargs): + cot_half = cot(S.Half*arg)**2 + return Piecewise((1, And(Eq(im(arg), 0), Eq(Mod(arg, 2*pi), 0))), + ((cot_half - 1)/(cot_half + 1), True)) + + def _eval_rewrite_as_pow(self, arg, **kwargs): + return self._eval_rewrite_as_sqrt(arg, **kwargs) + + def _eval_rewrite_as_sqrt(self, arg: Expr, **kwargs): + from sympy.functions.special.polynomials import chebyshevt + + pi_coeff = _pi_coeff(arg) + if pi_coeff is None: + return None + + if isinstance(pi_coeff, Integer): + return None + + if not isinstance(pi_coeff, Rational): + return None + + cst_table_some = cos_table() + + if pi_coeff.q in cst_table_some: + rv = chebyshevt(pi_coeff.p, cst_table_some[pi_coeff.q]()) + if pi_coeff.q < 257: + rv = rv.expand() + return rv + + if not pi_coeff.q % 2: # recursively remove factors of 2 + pico2 = pi_coeff * 2 + nval = cos(pico2 * pi).rewrite(sqrt, **kwargs) + x = (pico2 + 1) / 2 + sign_cos = -1 if int(x) % 2 else 1 + return sign_cos * sqrt((1 + nval) / 2) + + FC = fermat_coords(pi_coeff.q) + if FC: + denoms = FC + else: + denoms = [b**e for b, e in factorint(pi_coeff.q).items()] + + apart = ipartfrac(*denoms) + decomp = (pi_coeff.p * Rational(n, d) for n, d in zip(apart, denoms)) + X = [(x[1], x[0]*pi) for x in zip(decomp, numbered_symbols('z'))] + pcls = cos(sum(x[0] for x in X))._eval_expand_trig().subs(X) + + if not FC or len(FC) == 1: + return pcls + return pcls.rewrite(sqrt, **kwargs) + + def _eval_rewrite_as_sec(self, arg, **kwargs): + return 1/sec(arg) + + def _eval_rewrite_as_csc(self, arg, **kwargs): + return 1/sec(arg).rewrite(csc, **kwargs) + + def _eval_rewrite_as_besselj(self, arg, **kwargs): + from sympy.functions.special.bessel import besselj + return Piecewise( + (sqrt(pi*arg/2)*besselj(-S.Half, arg), Ne(arg, 0)), + (1, True) + ) + + def _eval_conjugate(self): + return self.func(self.args[0].conjugate()) + + def as_real_imag(self, deep=True, **hints): + from sympy.functions.elementary.hyperbolic import cosh, sinh + re, im = self._as_real_imag(deep=deep, **hints) + return (cos(re)*cosh(im), -sin(re)*sinh(im)) + + def _eval_expand_trig(self, **hints): + from sympy.functions.special.polynomials import chebyshevt + arg = self.args[0] + x = None + if arg.is_Add: # TODO: Do this more efficiently for more than two terms + x, y = arg.as_two_terms() + sx = sin(x, evaluate=False)._eval_expand_trig() + sy = sin(y, evaluate=False)._eval_expand_trig() + cx = cos(x, evaluate=False)._eval_expand_trig() + cy = cos(y, evaluate=False)._eval_expand_trig() + return cx*cy - sx*sy + elif arg.is_Mul: + coeff, terms = arg.as_coeff_Mul(rational=True) + if coeff.is_Integer: + return chebyshevt(coeff, cos(terms)) + return cos(arg) + + def _eval_as_leading_term(self, x, logx, cdir): + from sympy.calculus.accumulationbounds import AccumBounds + arg = self.args[0] + x0 = arg.subs(x, 0).cancel() + n = (x0 + pi/2)/pi + if n.is_integer: + lt = (arg - n*pi + pi/2).as_leading_term(x) + return (S.NegativeOne**n)*lt + if x0 is S.ComplexInfinity: + x0 = arg.limit(x, 0, dir='-' if re(cdir).is_negative else '+') + if x0 in [S.Infinity, S.NegativeInfinity]: + return AccumBounds(-1, 1) + return self.func(x0) if x0.is_finite else self + + def _eval_is_extended_real(self): + if self.args[0].is_extended_real: + return True + + def _eval_is_finite(self): + arg = self.args[0] + + if arg.is_extended_real: + return True + + def _eval_is_complex(self): + if self.args[0].is_extended_real \ + or self.args[0].is_complex: + return True + + def _eval_is_zero(self): + rest, pi_mult = _peeloff_pi(self.args[0]) + if rest.is_zero and pi_mult: + return (pi_mult - S.Half).is_integer + + +class tan(TrigonometricFunction): + """ + The tangent function. + + Returns the tangent of x (measured in radians). + + Explanation + =========== + + See :class:`sin` for notes about automatic evaluation. + + Examples + ======== + + >>> from sympy import tan, pi + >>> from sympy.abc import x + >>> tan(x**2).diff(x) + 2*x*(tan(x**2)**2 + 1) + >>> tan(1).diff(x) + 0 + >>> tan(pi/8).expand() + -1 + sqrt(2) + + See Also + ======== + + sin, csc, cos, sec, cot + asin, acsc, acos, asec, atan, acot, atan2 + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Trigonometric_functions + .. [2] https://dlmf.nist.gov/4.14 + .. [3] https://functions.wolfram.com/ElementaryFunctions/Tan + + """ + + def period(self, symbol=None): + return self._period(pi, symbol) + + def fdiff(self, argindex=1): + if argindex == 1: + return S.One + self**2 + else: + raise ArgumentIndexError(self, argindex) + + def inverse(self, argindex=1): + """ + Returns the inverse of this function. + """ + return atan + + @classmethod + def eval(cls, arg): + from sympy.calculus.accumulationbounds import AccumBounds + if arg.is_Number: + if arg is S.NaN: + return S.NaN + elif arg.is_zero: + return S.Zero + elif arg in (S.Infinity, S.NegativeInfinity): + return AccumBounds(S.NegativeInfinity, S.Infinity) + + if arg is S.ComplexInfinity: + return S.NaN + + if isinstance(arg, AccumBounds): + min, max = arg.min, arg.max + d = floor(min/pi) + if min is not S.NegativeInfinity: + min = min - d*pi + if max is not S.Infinity: + max = max - d*pi + from sympy.sets.sets import FiniteSet + if AccumBounds(min, max).intersection(FiniteSet(pi/2, pi*Rational(3, 2))): + return AccumBounds(S.NegativeInfinity, S.Infinity) + else: + return AccumBounds(tan(min), tan(max)) + + if arg.could_extract_minus_sign(): + return -cls(-arg) + + i_coeff = _imaginary_unit_as_coefficient(arg) + if i_coeff is not None: + from sympy.functions.elementary.hyperbolic import tanh + return S.ImaginaryUnit*tanh(i_coeff) + + pi_coeff = _pi_coeff(arg, 2) + if pi_coeff is not None: + if pi_coeff.is_integer: + return S.Zero + + if not pi_coeff.is_Rational: + narg = pi_coeff*pi + if narg != arg: + return cls(narg) + return None + + if pi_coeff.is_Rational: + q = pi_coeff.q + p = pi_coeff.p % q + # ensure simplified results are returned for n*pi/5, n*pi/10 + table10 = { + 1: sqrt(1 - 2*sqrt(5)/5), + 2: sqrt(5 - 2*sqrt(5)), + 3: sqrt(1 + 2*sqrt(5)/5), + 4: sqrt(5 + 2*sqrt(5)) + } + if q in (5, 10): + n = 10*p/q + if n > 5: + n = 10 - n + return -table10[n] + else: + return table10[n] + if not pi_coeff.q % 2: + narg = pi_coeff*pi*2 + cresult, sresult = cos(narg), cos(narg - pi/2) + if not isinstance(cresult, cos) \ + and not isinstance(sresult, cos): + if sresult == 0: + return S.ComplexInfinity + return 1/sresult - cresult/sresult + + table2 = _table2() + if q in table2: + a, b = table2[q] + nvala, nvalb = cls(p*pi/a), cls(p*pi/b) + if None in (nvala, nvalb): + return None + return (nvala - nvalb)/(1 + nvala*nvalb) + narg = ((pi_coeff + S.Half) % 1 - S.Half)*pi + # see cos() to specify which expressions should be + # expanded automatically in terms of radicals + cresult, sresult = cos(narg), cos(narg - pi/2) + if not isinstance(cresult, cos) \ + and not isinstance(sresult, cos): + if cresult == 0: + return S.ComplexInfinity + return (sresult/cresult) + if narg != arg: + return cls(narg) + + if arg.is_Add: + x, m = _peeloff_pi(arg) + if m: + tanm = tan(m*pi) + if tanm is S.ComplexInfinity: + return -cot(x) + else: # tanm == 0 + return tan(x) + + if arg.is_zero: + return S.Zero + + if isinstance(arg, atan): + return arg.args[0] + + if isinstance(arg, atan2): + y, x = arg.args + return y/x + + if isinstance(arg, asin): + x = arg.args[0] + return x/sqrt(1 - x**2) + + if isinstance(arg, acos): + x = arg.args[0] + return sqrt(1 - x**2)/x + + if isinstance(arg, acot): + x = arg.args[0] + return 1/x + + if isinstance(arg, acsc): + x = arg.args[0] + return 1/(sqrt(1 - 1/x**2)*x) + + if isinstance(arg, asec): + x = arg.args[0] + return sqrt(1 - 1/x**2)*x + + @staticmethod + @cacheit + def taylor_term(n, x, *previous_terms): + if n < 0 or n % 2 == 0: + return S.Zero + else: + x = sympify(x) + + a, b = ((n - 1)//2), 2**(n + 1) + + B = bernoulli(n + 1) + F = factorial(n + 1) + + return S.NegativeOne**a*b*(b - 1)*B/F*x**n + + def _eval_nseries(self, x, n, logx, cdir=0): + i = self.args[0].limit(x, 0)*2/pi + if i and i.is_Integer: + return self.rewrite(cos)._eval_nseries(x, n=n, logx=logx) + return super()._eval_nseries(x, n=n, logx=logx) + + def _eval_rewrite_as_Pow(self, arg, **kwargs): + if isinstance(arg, log): + I = S.ImaginaryUnit + x = arg.args[0] + return I*(x**-I - x**I)/(x**-I + x**I) + + def _eval_conjugate(self): + return self.func(self.args[0].conjugate()) + + def as_real_imag(self, deep=True, **hints): + re, im = self._as_real_imag(deep=deep, **hints) + if im: + from sympy.functions.elementary.hyperbolic import cosh, sinh + denom = cos(2*re) + cosh(2*im) + return (sin(2*re)/denom, sinh(2*im)/denom) + else: + return (self.func(re), S.Zero) + + def _eval_expand_trig(self, **hints): + arg = self.args[0] + x = None + if arg.is_Add: + n = len(arg.args) + TX = [] + for x in arg.args: + tx = tan(x, evaluate=False)._eval_expand_trig() + TX.append(tx) + + Yg = numbered_symbols('Y') + Y = [ next(Yg) for i in range(n) ] + + p = [0, 0] + for i in range(n + 1): + p[1 - i % 2] += symmetric_poly(i, Y)*(-1)**((i % 4)//2) + return (p[0]/p[1]).subs(list(zip(Y, TX))) + + elif arg.is_Mul: + coeff, terms = arg.as_coeff_Mul(rational=True) + if coeff.is_Integer and coeff > 1: + I = S.ImaginaryUnit + z = Symbol('dummy', real=True) + P = ((1 + I*z)**coeff).expand() + return (im(P)/re(P)).subs([(z, tan(terms))]) + return tan(arg) + + def _eval_rewrite_as_exp(self, arg, **kwargs): + I = S.ImaginaryUnit + from sympy.functions.elementary.hyperbolic import HyperbolicFunction + if isinstance(arg, (TrigonometricFunction, HyperbolicFunction)): + arg = arg.func(arg.args[0]).rewrite(exp) + neg_exp, pos_exp = exp(-arg*I), exp(arg*I) + return I*(neg_exp - pos_exp)/(neg_exp + pos_exp) + + def _eval_rewrite_as_sin(self, x, **kwargs): + return 2*sin(x)**2/sin(2*x) + + def _eval_rewrite_as_cos(self, x, **kwargs): + return cos(x - pi/2, evaluate=False)/cos(x) + + def _eval_rewrite_as_sincos(self, arg, **kwargs): + return sin(arg)/cos(arg) + + def _eval_rewrite_as_cot(self, arg, **kwargs): + return 1/cot(arg) + + def _eval_rewrite_as_sec(self, arg, **kwargs): + sin_in_sec_form = sin(arg).rewrite(sec, **kwargs) + cos_in_sec_form = cos(arg).rewrite(sec, **kwargs) + return sin_in_sec_form/cos_in_sec_form + + def _eval_rewrite_as_csc(self, arg, **kwargs): + sin_in_csc_form = sin(arg).rewrite(csc, **kwargs) + cos_in_csc_form = cos(arg).rewrite(csc, **kwargs) + return sin_in_csc_form/cos_in_csc_form + + def _eval_rewrite_as_pow(self, arg, **kwargs): + y = self.rewrite(cos, **kwargs).rewrite(pow, **kwargs) + if y.has(cos): + return None + return y + + def _eval_rewrite_as_sqrt(self, arg, **kwargs): + y = self.rewrite(cos, **kwargs).rewrite(sqrt, **kwargs) + if y.has(cos): + return None + return y + + def _eval_rewrite_as_besselj(self, arg, **kwargs): + from sympy.functions.special.bessel import besselj + return besselj(S.Half, arg)/besselj(-S.Half, arg) + + def _eval_as_leading_term(self, x, logx, cdir): + from sympy.calculus.accumulationbounds import AccumBounds + from sympy.functions.elementary.complexes import re + arg = self.args[0] + x0 = arg.subs(x, 0).cancel() + n = 2*x0/pi + if n.is_integer: + lt = (arg - n*pi/2).as_leading_term(x) + return lt if n.is_even else -1/lt + if x0 is S.ComplexInfinity: + x0 = arg.limit(x, 0, dir='-' if re(cdir).is_negative else '+') + if x0 in (S.Infinity, S.NegativeInfinity): + return AccumBounds(S.NegativeInfinity, S.Infinity) + return self.func(x0) if x0.is_finite else self + + def _eval_is_extended_real(self): + # FIXME: currently tan(pi/2) return zoo + return self.args[0].is_extended_real + + def _eval_is_real(self): + arg = self.args[0] + if arg.is_real and (arg/pi - S.Half).is_integer is False: + return True + + def _eval_is_finite(self): + arg = self.args[0] + + if arg.is_real and (arg/pi - S.Half).is_integer is False: + return True + + if arg.is_imaginary: + return True + + def _eval_is_zero(self): + rest, pi_mult = _peeloff_pi(self.args[0]) + if rest.is_zero: + return pi_mult.is_integer + + def _eval_is_complex(self): + arg = self.args[0] + + if arg.is_real and (arg/pi - S.Half).is_integer is False: + return True + + +class cot(TrigonometricFunction): + """ + The cotangent function. + + Returns the cotangent of x (measured in radians). + + Explanation + =========== + + See :class:`sin` for notes about automatic evaluation. + + Examples + ======== + + >>> from sympy import cot, pi + >>> from sympy.abc import x + >>> cot(x**2).diff(x) + 2*x*(-cot(x**2)**2 - 1) + >>> cot(1).diff(x) + 0 + >>> cot(pi/12) + sqrt(3) + 2 + + See Also + ======== + + sin, csc, cos, sec, tan + asin, acsc, acos, asec, atan, acot, atan2 + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Trigonometric_functions + .. [2] https://dlmf.nist.gov/4.14 + .. [3] https://functions.wolfram.com/ElementaryFunctions/Cot + + """ + + def period(self, symbol=None): + return self._period(pi, symbol) + + def fdiff(self, argindex=1): + if argindex == 1: + return S.NegativeOne - self**2 + else: + raise ArgumentIndexError(self, argindex) + + def inverse(self, argindex=1): + """ + Returns the inverse of this function. + """ + return acot + + @classmethod + def eval(cls, arg): + from sympy.calculus.accumulationbounds import AccumBounds + if arg.is_Number: + if arg is S.NaN: + return S.NaN + if arg.is_zero: + return S.ComplexInfinity + elif arg in (S.Infinity, S.NegativeInfinity): + return AccumBounds(S.NegativeInfinity, S.Infinity) + + if arg is S.ComplexInfinity: + return S.NaN + + if isinstance(arg, AccumBounds): + return -tan(arg + pi/2) + + if arg.could_extract_minus_sign(): + return -cls(-arg) + + i_coeff = _imaginary_unit_as_coefficient(arg) + if i_coeff is not None: + from sympy.functions.elementary.hyperbolic import coth + return -S.ImaginaryUnit*coth(i_coeff) + + pi_coeff = _pi_coeff(arg, 2) + if pi_coeff is not None: + if pi_coeff.is_integer: + return S.ComplexInfinity + + if not pi_coeff.is_Rational: + narg = pi_coeff*pi + if narg != arg: + return cls(narg) + return None + + if pi_coeff.is_Rational: + if pi_coeff.q in (5, 10): + return tan(pi/2 - arg) + if pi_coeff.q > 2 and not pi_coeff.q % 2: + narg = pi_coeff*pi*2 + cresult, sresult = cos(narg), cos(narg - pi/2) + if not isinstance(cresult, cos) \ + and not isinstance(sresult, cos): + return 1/sresult + cresult/sresult + q = pi_coeff.q + p = pi_coeff.p % q + table2 = _table2() + if q in table2: + a, b = table2[q] + nvala, nvalb = cls(p*pi/a), cls(p*pi/b) + if None in (nvala, nvalb): + return None + return (1 + nvala*nvalb)/(nvalb - nvala) + narg = (((pi_coeff + S.Half) % 1) - S.Half)*pi + # see cos() to specify which expressions should be + # expanded automatically in terms of radicals + cresult, sresult = cos(narg), cos(narg - pi/2) + if not isinstance(cresult, cos) \ + and not isinstance(sresult, cos): + if sresult == 0: + return S.ComplexInfinity + return cresult/sresult + if narg != arg: + return cls(narg) + + if arg.is_Add: + x, m = _peeloff_pi(arg) + if m: + cotm = cot(m*pi) + if cotm is S.ComplexInfinity: + return cot(x) + else: # cotm == 0 + return -tan(x) + + if arg.is_zero: + return S.ComplexInfinity + + if isinstance(arg, acot): + return arg.args[0] + + if isinstance(arg, atan): + x = arg.args[0] + return 1/x + + if isinstance(arg, atan2): + y, x = arg.args + return x/y + + if isinstance(arg, asin): + x = arg.args[0] + return sqrt(1 - x**2)/x + + if isinstance(arg, acos): + x = arg.args[0] + return x/sqrt(1 - x**2) + + if isinstance(arg, acsc): + x = arg.args[0] + return sqrt(1 - 1/x**2)*x + + if isinstance(arg, asec): + x = arg.args[0] + return 1/(sqrt(1 - 1/x**2)*x) + + @staticmethod + @cacheit + def taylor_term(n, x, *previous_terms): + if n == 0: + return 1/sympify(x) + elif n < 0 or n % 2 == 0: + return S.Zero + else: + x = sympify(x) + + B = bernoulli(n + 1) + F = factorial(n + 1) + + return S.NegativeOne**((n + 1)//2)*2**(n + 1)*B/F*x**n + + def _eval_nseries(self, x, n, logx, cdir=0): + i = self.args[0].limit(x, 0)/pi + if i and i.is_Integer: + return self.rewrite(cos)._eval_nseries(x, n=n, logx=logx) + return self.rewrite(tan)._eval_nseries(x, n=n, logx=logx) + + def _eval_conjugate(self): + return self.func(self.args[0].conjugate()) + + def as_real_imag(self, deep=True, **hints): + re, im = self._as_real_imag(deep=deep, **hints) + if im: + from sympy.functions.elementary.hyperbolic import cosh, sinh + denom = cos(2*re) - cosh(2*im) + return (-sin(2*re)/denom, sinh(2*im)/denom) + else: + return (self.func(re), S.Zero) + + def _eval_rewrite_as_exp(self, arg, **kwargs): + from sympy.functions.elementary.hyperbolic import HyperbolicFunction + I = S.ImaginaryUnit + if isinstance(arg, (TrigonometricFunction, HyperbolicFunction)): + arg = arg.func(arg.args[0]).rewrite(exp, **kwargs) + neg_exp, pos_exp = exp(-arg*I), exp(arg*I) + return I*(pos_exp + neg_exp)/(pos_exp - neg_exp) + + def _eval_rewrite_as_Pow(self, arg, **kwargs): + if isinstance(arg, log): + I = S.ImaginaryUnit + x = arg.args[0] + return -I*(x**-I + x**I)/(x**-I - x**I) + + def _eval_rewrite_as_sin(self, x, **kwargs): + return sin(2*x)/(2*(sin(x)**2)) + + def _eval_rewrite_as_cos(self, x, **kwargs): + return cos(x)/cos(x - pi/2, evaluate=False) + + def _eval_rewrite_as_sincos(self, arg, **kwargs): + return cos(arg)/sin(arg) + + def _eval_rewrite_as_tan(self, arg, **kwargs): + return 1/tan(arg) + + def _eval_rewrite_as_sec(self, arg, **kwargs): + cos_in_sec_form = cos(arg).rewrite(sec, **kwargs) + sin_in_sec_form = sin(arg).rewrite(sec, **kwargs) + return cos_in_sec_form/sin_in_sec_form + + def _eval_rewrite_as_csc(self, arg, **kwargs): + cos_in_csc_form = cos(arg).rewrite(csc, **kwargs) + sin_in_csc_form = sin(arg).rewrite(csc, **kwargs) + return cos_in_csc_form/sin_in_csc_form + + def _eval_rewrite_as_pow(self, arg, **kwargs): + y = self.rewrite(cos, **kwargs).rewrite(pow, **kwargs) + if y.has(cos): + return None + return y + + def _eval_rewrite_as_sqrt(self, arg, **kwargs): + y = self.rewrite(cos, **kwargs).rewrite(sqrt, **kwargs) + if y.has(cos): + return None + return y + + def _eval_rewrite_as_besselj(self, arg, **kwargs): + from sympy.functions.special.bessel import besselj + return besselj(-S.Half, arg)/besselj(S.Half, arg) + + def _eval_as_leading_term(self, x, logx, cdir): + from sympy.calculus.accumulationbounds import AccumBounds + from sympy.functions.elementary.complexes import re + arg = self.args[0] + x0 = arg.subs(x, 0).cancel() + n = 2*x0/pi + if n.is_integer: + lt = (arg - n*pi/2).as_leading_term(x) + return 1/lt if n.is_even else -lt + if x0 is S.ComplexInfinity: + x0 = arg.limit(x, 0, dir='-' if re(cdir).is_negative else '+') + if x0 in (S.Infinity, S.NegativeInfinity): + return AccumBounds(S.NegativeInfinity, S.Infinity) + return self.func(x0) if x0.is_finite else self + + def _eval_is_extended_real(self): + return self.args[0].is_extended_real + + def _eval_expand_trig(self, **hints): + arg = self.args[0] + x = None + if arg.is_Add: + n = len(arg.args) + CX = [] + for x in arg.args: + cx = cot(x, evaluate=False)._eval_expand_trig() + CX.append(cx) + + Yg = numbered_symbols('Y') + Y = [ next(Yg) for i in range(n) ] + + p = [0, 0] + for i in range(n, -1, -1): + p[(n - i) % 2] += symmetric_poly(i, Y)*(-1)**(((n - i) % 4)//2) + return (p[0]/p[1]).subs(list(zip(Y, CX))) + elif arg.is_Mul: + coeff, terms = arg.as_coeff_Mul(rational=True) + if coeff.is_Integer and coeff > 1: + I = S.ImaginaryUnit + z = Symbol('dummy', real=True) + P = ((z + I)**coeff).expand() + return (re(P)/im(P)).subs([(z, cot(terms))]) + return cot(arg) # XXX sec and csc return 1/cos and 1/sin + + def _eval_is_finite(self): + arg = self.args[0] + if arg.is_real and (arg/pi).is_integer is False: + return True + if arg.is_imaginary: + return True + + def _eval_is_real(self): + arg = self.args[0] + if arg.is_real and (arg/pi).is_integer is False: + return True + + def _eval_is_complex(self): + arg = self.args[0] + if arg.is_real and (arg/pi).is_integer is False: + return True + + def _eval_is_zero(self): + rest, pimult = _peeloff_pi(self.args[0]) + if pimult and rest.is_zero: + return (pimult - S.Half).is_integer + + def _eval_subs(self, old, new): + arg = self.args[0] + argnew = arg.subs(old, new) + if arg != argnew and (argnew/pi).is_integer: + return S.ComplexInfinity + return cot(argnew) + + +class ReciprocalTrigonometricFunction(TrigonometricFunction): + """Base class for reciprocal functions of trigonometric functions. """ + + _reciprocal_of = None # mandatory, to be defined in subclass + _singularities = (S.ComplexInfinity,) + + # _is_even and _is_odd are used for correct evaluation of csc(-x), sec(-x) + # TODO refactor into TrigonometricFunction common parts of + # trigonometric functions eval() like even/odd, func(x+2*k*pi), etc. + + # optional, to be defined in subclasses: + _is_even: FuzzyBool = None + _is_odd: FuzzyBool = None + + @classmethod + def eval(cls, arg): + if arg.could_extract_minus_sign(): + if cls._is_even: + return cls(-arg) + if cls._is_odd: + return -cls(-arg) + + pi_coeff = _pi_coeff(arg) + if (pi_coeff is not None + and not (2*pi_coeff).is_integer + and pi_coeff.is_Rational): + q = pi_coeff.q + p = pi_coeff.p % (2*q) + if p > q: + narg = (pi_coeff - 1)*pi + return -cls(narg) + if 2*p > q: + narg = (1 - pi_coeff)*pi + if cls._is_odd: + return cls(narg) + elif cls._is_even: + return -cls(narg) + + if hasattr(arg, 'inverse') and arg.inverse() == cls: + return arg.args[0] + + t = cls._reciprocal_of.eval(arg) + if t is None: + return t + elif any(isinstance(i, cos) for i in (t, -t)): + return (1/t).rewrite(sec) + elif any(isinstance(i, sin) for i in (t, -t)): + return (1/t).rewrite(csc) + else: + return 1/t + + def _call_reciprocal(self, method_name, *args, **kwargs): + # Calls method_name on _reciprocal_of + o = self._reciprocal_of(self.args[0]) + return getattr(o, method_name)(*args, **kwargs) + + def _calculate_reciprocal(self, method_name, *args, **kwargs): + # If calling method_name on _reciprocal_of returns a value != None + # then return the reciprocal of that value + t = self._call_reciprocal(method_name, *args, **kwargs) + return 1/t if t is not None else t + + def _rewrite_reciprocal(self, method_name, arg): + # Special handling for rewrite functions. If reciprocal rewrite returns + # unmodified expression, then return None + t = self._call_reciprocal(method_name, arg) + if t is not None and t != self._reciprocal_of(arg): + return 1/t + + def _period(self, symbol): + f = expand_mul(self.args[0]) + return self._reciprocal_of(f).period(symbol) + + def fdiff(self, argindex=1): + return -self._calculate_reciprocal("fdiff", argindex)/self**2 + + def _eval_rewrite_as_exp(self, arg, **kwargs): + return self._rewrite_reciprocal("_eval_rewrite_as_exp", arg) + + def _eval_rewrite_as_Pow(self, arg, **kwargs): + return self._rewrite_reciprocal("_eval_rewrite_as_Pow", arg) + + def _eval_rewrite_as_sin(self, arg, **kwargs): + return self._rewrite_reciprocal("_eval_rewrite_as_sin", arg) + + def _eval_rewrite_as_cos(self, arg, **kwargs): + return self._rewrite_reciprocal("_eval_rewrite_as_cos", arg) + + def _eval_rewrite_as_tan(self, arg, **kwargs): + return self._rewrite_reciprocal("_eval_rewrite_as_tan", arg) + + def _eval_rewrite_as_pow(self, arg, **kwargs): + return self._rewrite_reciprocal("_eval_rewrite_as_pow", arg) + + def _eval_rewrite_as_sqrt(self, arg, **kwargs): + return self._rewrite_reciprocal("_eval_rewrite_as_sqrt", arg) + + def _eval_conjugate(self): + return self.func(self.args[0].conjugate()) + + def as_real_imag(self, deep=True, **hints): + return (1/self._reciprocal_of(self.args[0])).as_real_imag(deep, + **hints) + + def _eval_expand_trig(self, **hints): + return self._calculate_reciprocal("_eval_expand_trig", **hints) + + def _eval_is_extended_real(self): + return self._reciprocal_of(self.args[0])._eval_is_extended_real() + + def _eval_as_leading_term(self, x, logx, cdir): + return (1/self._reciprocal_of(self.args[0]))._eval_as_leading_term(x, logx=logx, cdir=cdir) + + def _eval_is_finite(self): + return (1/self._reciprocal_of(self.args[0])).is_finite + + def _eval_nseries(self, x, n, logx, cdir=0): + return (1/self._reciprocal_of(self.args[0]))._eval_nseries(x, n, logx) + + +class sec(ReciprocalTrigonometricFunction): + """ + The secant function. + + Returns the secant of x (measured in radians). + + Explanation + =========== + + See :class:`sin` for notes about automatic evaluation. + + Examples + ======== + + >>> from sympy import sec + >>> from sympy.abc import x + >>> sec(x**2).diff(x) + 2*x*tan(x**2)*sec(x**2) + >>> sec(1).diff(x) + 0 + + See Also + ======== + + sin, csc, cos, tan, cot + asin, acsc, acos, asec, atan, acot, atan2 + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Trigonometric_functions + .. [2] https://dlmf.nist.gov/4.14 + .. [3] https://functions.wolfram.com/ElementaryFunctions/Sec + + """ + + _reciprocal_of = cos + _is_even = True + + def period(self, symbol=None): + return self._period(symbol) + + def _eval_rewrite_as_cot(self, arg, **kwargs): + cot_half_sq = cot(arg/2)**2 + return (cot_half_sq + 1)/(cot_half_sq - 1) + + def _eval_rewrite_as_cos(self, arg, **kwargs): + return (1/cos(arg)) + + def _eval_rewrite_as_sincos(self, arg, **kwargs): + return sin(arg)/(cos(arg)*sin(arg)) + + def _eval_rewrite_as_sin(self, arg, **kwargs): + return (1/cos(arg).rewrite(sin, **kwargs)) + + def _eval_rewrite_as_tan(self, arg, **kwargs): + return (1/cos(arg).rewrite(tan, **kwargs)) + + def _eval_rewrite_as_csc(self, arg, **kwargs): + return csc(pi/2 - arg, evaluate=False) + + def fdiff(self, argindex=1): + if argindex == 1: + return tan(self.args[0])*sec(self.args[0]) + else: + raise ArgumentIndexError(self, argindex) + + def _eval_rewrite_as_besselj(self, arg, **kwargs): + from sympy.functions.special.bessel import besselj + return Piecewise( + (1/(sqrt(pi*arg)/(sqrt(2))*besselj(-S.Half, arg)), Ne(arg, 0)), + (1, True) + ) + + def _eval_is_complex(self): + arg = self.args[0] + + if arg.is_complex and (arg/pi - S.Half).is_integer is False: + return True + + @staticmethod + @cacheit + def taylor_term(n, x, *previous_terms): + # Reference Formula: + # https://functions.wolfram.com/ElementaryFunctions/Sec/06/01/02/01/ + if n < 0 or n % 2 == 1: + return S.Zero + else: + x = sympify(x) + k = n//2 + return S.NegativeOne**k*euler(2*k)/factorial(2*k)*x**(2*k) + + def _eval_as_leading_term(self, x, logx, cdir): + from sympy.calculus.accumulationbounds import AccumBounds + from sympy.functions.elementary.complexes import re + arg = self.args[0] + x0 = arg.subs(x, 0).cancel() + n = (x0 + pi/2)/pi + if n.is_integer: + lt = (arg - n*pi + pi/2).as_leading_term(x) + return (S.NegativeOne**n)/lt + if x0 is S.ComplexInfinity: + x0 = arg.limit(x, 0, dir='-' if re(cdir).is_negative else '+') + if x0 in (S.Infinity, S.NegativeInfinity): + return AccumBounds(S.NegativeInfinity, S.Infinity) + return self.func(x0) if x0.is_finite else self + + +class csc(ReciprocalTrigonometricFunction): + """ + The cosecant function. + + Returns the cosecant of x (measured in radians). + + Explanation + =========== + + See :func:`sin` for notes about automatic evaluation. + + Examples + ======== + + >>> from sympy import csc + >>> from sympy.abc import x + >>> csc(x**2).diff(x) + -2*x*cot(x**2)*csc(x**2) + >>> csc(1).diff(x) + 0 + + See Also + ======== + + sin, cos, sec, tan, cot + asin, acsc, acos, asec, atan, acot, atan2 + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Trigonometric_functions + .. [2] https://dlmf.nist.gov/4.14 + .. [3] https://functions.wolfram.com/ElementaryFunctions/Csc + + """ + + _reciprocal_of = sin + _is_odd = True + + def period(self, symbol=None): + return self._period(symbol) + + def _eval_rewrite_as_sin(self, arg, **kwargs): + return (1/sin(arg)) + + def _eval_rewrite_as_sincos(self, arg, **kwargs): + return cos(arg)/(sin(arg)*cos(arg)) + + def _eval_rewrite_as_cot(self, arg, **kwargs): + cot_half = cot(arg/2) + return (1 + cot_half**2)/(2*cot_half) + + def _eval_rewrite_as_cos(self, arg, **kwargs): + return 1/sin(arg).rewrite(cos, **kwargs) + + def _eval_rewrite_as_sec(self, arg, **kwargs): + return sec(pi/2 - arg, evaluate=False) + + def _eval_rewrite_as_tan(self, arg, **kwargs): + return (1/sin(arg).rewrite(tan, **kwargs)) + + def _eval_rewrite_as_besselj(self, arg, **kwargs): + from sympy.functions.special.bessel import besselj + return sqrt(2/pi)*(1/(sqrt(arg)*besselj(S.Half, arg))) + + def fdiff(self, argindex=1): + if argindex == 1: + return -cot(self.args[0])*csc(self.args[0]) + else: + raise ArgumentIndexError(self, argindex) + + def _eval_is_complex(self): + arg = self.args[0] + if arg.is_real and (arg/pi).is_integer is False: + return True + + @staticmethod + @cacheit + def taylor_term(n, x, *previous_terms): + if n == 0: + return 1/sympify(x) + elif n < 0 or n % 2 == 0: + return S.Zero + else: + x = sympify(x) + k = n//2 + 1 + return (S.NegativeOne**(k - 1)*2*(2**(2*k - 1) - 1)* + bernoulli(2*k)*x**(2*k - 1)/factorial(2*k)) + + def _eval_as_leading_term(self, x, logx, cdir): + from sympy.calculus.accumulationbounds import AccumBounds + from sympy.functions.elementary.complexes import re + arg = self.args[0] + x0 = arg.subs(x, 0).cancel() + n = x0/pi + if n.is_integer: + lt = (arg - n*pi).as_leading_term(x) + return (S.NegativeOne**n)/lt + if x0 is S.ComplexInfinity: + x0 = arg.limit(x, 0, dir='-' if re(cdir).is_negative else '+') + if x0 in (S.Infinity, S.NegativeInfinity): + return AccumBounds(S.NegativeInfinity, S.Infinity) + return self.func(x0) if x0.is_finite else self + + +class sinc(DefinedFunction): + r""" + Represents an unnormalized sinc function: + + .. math:: + + \operatorname{sinc}(x) = + \begin{cases} + \frac{\sin x}{x} & \qquad x \neq 0 \\ + 1 & \qquad x = 0 + \end{cases} + + Examples + ======== + + >>> from sympy import sinc, oo, jn + >>> from sympy.abc import x + >>> sinc(x) + sinc(x) + + * Automated Evaluation + + >>> sinc(0) + 1 + >>> sinc(oo) + 0 + + * Differentiation + + >>> sinc(x).diff() + cos(x)/x - sin(x)/x**2 + + * Series Expansion + + >>> sinc(x).series() + 1 - x**2/6 + x**4/120 + O(x**6) + + * As zero'th order spherical Bessel Function + + >>> sinc(x).rewrite(jn) + jn(0, x) + + See also + ======== + + sin + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Sinc_function + + """ + _singularities = (S.ComplexInfinity,) + + def fdiff(self, argindex=1): + x = self.args[0] + if argindex == 1: + # We would like to return the Piecewise here, but Piecewise.diff + # currently can't handle removable singularities, meaning things + # like sinc(x).diff(x, 2) give the wrong answer at x = 0. See + # https://github.com/sympy/sympy/issues/11402. + # + # return Piecewise(((x*cos(x) - sin(x))/x**2, Ne(x, S.Zero)), (S.Zero, S.true)) + return cos(x)/x - sin(x)/x**2 + else: + raise ArgumentIndexError(self, argindex) + + @classmethod + def eval(cls, arg): + if arg.is_zero: + return S.One + if arg.is_Number: + if arg in [S.Infinity, S.NegativeInfinity]: + return S.Zero + elif arg is S.NaN: + return S.NaN + + if arg is S.ComplexInfinity: + return S.NaN + + if arg.could_extract_minus_sign(): + return cls(-arg) + + pi_coeff = _pi_coeff(arg) + if pi_coeff is not None: + if pi_coeff.is_integer: + if fuzzy_not(arg.is_zero): + return S.Zero + elif (2*pi_coeff).is_integer: + return S.NegativeOne**(pi_coeff - S.Half)/arg + + def _eval_nseries(self, x, n, logx, cdir=0): + x = self.args[0] + return (sin(x)/x)._eval_nseries(x, n, logx) + + def _eval_rewrite_as_jn(self, arg, **kwargs): + from sympy.functions.special.bessel import jn + return jn(0, arg) + + def _eval_rewrite_as_sin(self, arg, **kwargs): + return Piecewise((sin(arg)/arg, Ne(arg, S.Zero)), (S.One, S.true)) + + def _eval_is_zero(self): + if self.args[0].is_infinite: + return True + rest, pi_mult = _peeloff_pi(self.args[0]) + if rest.is_zero: + return fuzzy_and([pi_mult.is_integer, pi_mult.is_nonzero]) + if rest.is_Number and pi_mult.is_integer: + return False + + def _eval_is_real(self): + if self.args[0].is_extended_real or self.args[0].is_imaginary: + return True + + _eval_is_finite = _eval_is_real + + +############################################################################### +########################### TRIGONOMETRIC INVERSES ############################ +############################################################################### + + +class InverseTrigonometricFunction(DefinedFunction): + """Base class for inverse trigonometric functions.""" + _singularities: tuple[Expr, ...] = (S.One, S.NegativeOne, S.Zero, S.ComplexInfinity) + + @staticmethod + @cacheit + def _asin_table(): + # Only keys with could_extract_minus_sign() == False + # are actually needed. + return { + sqrt(3)/2: pi/3, + sqrt(2)/2: pi/4, + 1/sqrt(2): pi/4, + sqrt((5 - sqrt(5))/8): pi/5, + sqrt(2)*sqrt(5 - sqrt(5))/4: pi/5, + sqrt((5 + sqrt(5))/8): pi*Rational(2, 5), + sqrt(2)*sqrt(5 + sqrt(5))/4: pi*Rational(2, 5), + S.Half: pi/6, + sqrt(2 - sqrt(2))/2: pi/8, + sqrt(S.Half - sqrt(2)/4): pi/8, + sqrt(2 + sqrt(2))/2: pi*Rational(3, 8), + sqrt(S.Half + sqrt(2)/4): pi*Rational(3, 8), + (sqrt(5) - 1)/4: pi/10, + (1 - sqrt(5))/4: -pi/10, + (sqrt(5) + 1)/4: pi*Rational(3, 10), + sqrt(6)/4 - sqrt(2)/4: pi/12, + -sqrt(6)/4 + sqrt(2)/4: -pi/12, + (sqrt(3) - 1)/sqrt(8): pi/12, + (1 - sqrt(3))/sqrt(8): -pi/12, + sqrt(6)/4 + sqrt(2)/4: pi*Rational(5, 12), + (1 + sqrt(3))/sqrt(8): pi*Rational(5, 12) + } + + + @staticmethod + @cacheit + def _atan_table(): + # Only keys with could_extract_minus_sign() == False + # are actually needed. + return { + sqrt(3)/3: pi/6, + 1/sqrt(3): pi/6, + sqrt(3): pi/3, + sqrt(2) - 1: pi/8, + 1 - sqrt(2): -pi/8, + 1 + sqrt(2): pi*Rational(3, 8), + sqrt(5 - 2*sqrt(5)): pi/5, + sqrt(5 + 2*sqrt(5)): pi*Rational(2, 5), + sqrt(1 - 2*sqrt(5)/5): pi/10, + sqrt(1 + 2*sqrt(5)/5): pi*Rational(3, 10), + 2 - sqrt(3): pi/12, + -2 + sqrt(3): -pi/12, + 2 + sqrt(3): pi*Rational(5, 12) + } + + @staticmethod + @cacheit + def _acsc_table(): + # Keys for which could_extract_minus_sign() + # will obviously return True are omitted. + return { + 2*sqrt(3)/3: pi/3, + sqrt(2): pi/4, + sqrt(2 + 2*sqrt(5)/5): pi/5, + 1/sqrt(Rational(5, 8) - sqrt(5)/8): pi/5, + sqrt(2 - 2*sqrt(5)/5): pi*Rational(2, 5), + 1/sqrt(Rational(5, 8) + sqrt(5)/8): pi*Rational(2, 5), + 2: pi/6, + sqrt(4 + 2*sqrt(2)): pi/8, + 2/sqrt(2 - sqrt(2)): pi/8, + sqrt(4 - 2*sqrt(2)): pi*Rational(3, 8), + 2/sqrt(2 + sqrt(2)): pi*Rational(3, 8), + 1 + sqrt(5): pi/10, + sqrt(5) - 1: pi*Rational(3, 10), + -(sqrt(5) - 1): pi*Rational(-3, 10), + sqrt(6) + sqrt(2): pi/12, + sqrt(6) - sqrt(2): pi*Rational(5, 12), + -(sqrt(6) - sqrt(2)): pi*Rational(-5, 12) + } + + +class asin(InverseTrigonometricFunction): + r""" + The inverse sine function. + + Returns the arcsine of x in radians. + + Explanation + =========== + + ``asin(x)`` will evaluate automatically in the cases + $x \in \{\infty, -\infty, 0, 1, -1\}$ and for some instances when the + result is a rational multiple of $\pi$ (see the ``eval`` class method). + + A purely imaginary argument will lead to an asinh expression. + + Examples + ======== + + >>> from sympy import asin, oo + >>> asin(1) + pi/2 + >>> asin(-1) + -pi/2 + >>> asin(-oo) + oo*I + >>> asin(oo) + -oo*I + + See Also + ======== + + sin, csc, cos, sec, tan, cot + acsc, acos, asec, atan, acot, atan2 + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Inverse_trigonometric_functions + .. [2] https://dlmf.nist.gov/4.23 + .. [3] https://functions.wolfram.com/ElementaryFunctions/ArcSin + + """ + + def fdiff(self, argindex=1): + if argindex == 1: + return 1/sqrt(1 - self.args[0]**2) + else: + raise ArgumentIndexError(self, argindex) + + def _eval_is_rational(self): + s = self.func(*self.args) + if s.func == self.func: + if s.args[0].is_rational: + return False + else: + return s.is_rational + + def _eval_is_positive(self): + return self._eval_is_extended_real() and self.args[0].is_positive + + def _eval_is_negative(self): + return self._eval_is_extended_real() and self.args[0].is_negative + + @classmethod + def eval(cls, arg): + if arg.is_Number: + if arg is S.NaN: + return S.NaN + elif arg is S.Infinity: + return S.NegativeInfinity*S.ImaginaryUnit + elif arg is S.NegativeInfinity: + return S.Infinity*S.ImaginaryUnit + elif arg.is_zero: + return S.Zero + elif arg is S.One: + return pi/2 + elif arg is S.NegativeOne: + return -pi/2 + + if arg is S.ComplexInfinity: + return S.ComplexInfinity + + if arg.could_extract_minus_sign(): + return -cls(-arg) + + if arg.is_number: + asin_table = cls._asin_table() + if arg in asin_table: + return asin_table[arg] + + i_coeff = _imaginary_unit_as_coefficient(arg) + if i_coeff is not None: + from sympy.functions.elementary.hyperbolic import asinh + return S.ImaginaryUnit*asinh(i_coeff) + + if arg.is_zero: + return S.Zero + + if isinstance(arg, sin): + ang = arg.args[0] + if ang.is_comparable: + ang %= 2*pi # restrict to [0,2*pi) + if ang > pi: # restrict to (-pi,pi] + ang = pi - ang + + # restrict to [-pi/2,pi/2] + if ang > pi/2: + ang = pi - ang + if ang < -pi/2: + ang = -pi - ang + + return ang + + if isinstance(arg, cos): # acos(x) + asin(x) = pi/2 + ang = arg.args[0] + if ang.is_comparable: + return pi/2 - acos(arg) + + @staticmethod + @cacheit + def taylor_term(n, x, *previous_terms): + if n < 0 or n % 2 == 0: + return S.Zero + else: + x = sympify(x) + if len(previous_terms) >= 2 and n > 2: + p = previous_terms[-2] + return p*(n - 2)**2/(n*(n - 1))*x**2 + else: + k = (n - 1) // 2 + R = RisingFactorial(S.Half, k) + F = factorial(k) + return R/F*x**n/n + + def _eval_as_leading_term(self, x, logx, cdir): + arg = self.args[0] + x0 = arg.subs(x, 0).cancel() + if x0 is S.NaN: + return self.func(arg.as_leading_term(x)) + if x0.is_zero: + return arg.as_leading_term(x) + + # Handling branch points + if x0 in (-S.One, S.One, S.ComplexInfinity): + return self.rewrite(log)._eval_as_leading_term(x, logx=logx, cdir=cdir).expand() + # Handling points lying on branch cuts (-oo, -1) U (1, oo) + if (1 - x0**2).is_negative: + ndir = arg.dir(x, cdir if cdir else 1) + if im(ndir).is_negative: + if x0.is_negative: + return -pi - self.func(x0) + elif im(ndir).is_positive: + if x0.is_positive: + return pi - self.func(x0) + else: + return self.rewrite(log)._eval_as_leading_term(x, logx=logx, cdir=cdir).expand() + return self.func(x0) + + def _eval_nseries(self, x, n, logx, cdir=0): # asin + from sympy.series.order import O + arg0 = self.args[0].subs(x, 0) + # Handling branch points + if arg0 is S.One: + t = Dummy('t', positive=True) + ser = asin(S.One - t**2).rewrite(log).nseries(t, 0, 2*n) + arg1 = S.One - self.args[0] + f = arg1.as_leading_term(x) + g = (arg1 - f)/ f + if not g.is_meromorphic(x, 0): # cannot be expanded + return O(1) if n == 0 else pi/2 + O(sqrt(x)) + res1 = sqrt(S.One + g)._eval_nseries(x, n=n, logx=logx) + res = (res1.removeO()*sqrt(f)).expand() + return ser.removeO().subs(t, res).expand().powsimp() + O(x**n, x) + + if arg0 is S.NegativeOne: + t = Dummy('t', positive=True) + ser = asin(S.NegativeOne + t**2).rewrite(log).nseries(t, 0, 2*n) + arg1 = S.One + self.args[0] + f = arg1.as_leading_term(x) + g = (arg1 - f)/ f + if not g.is_meromorphic(x, 0): # cannot be expanded + return O(1) if n == 0 else -pi/2 + O(sqrt(x)) + res1 = sqrt(S.One + g)._eval_nseries(x, n=n, logx=logx) + res = (res1.removeO()*sqrt(f)).expand() + return ser.removeO().subs(t, res).expand().powsimp() + O(x**n, x) + + res = super()._eval_nseries(x, n=n, logx=logx) + if arg0 is S.ComplexInfinity: + return res + # Handling points lying on branch cuts (-oo, -1) U (1, oo) + if (1 - arg0**2).is_negative: + ndir = self.args[0].dir(x, cdir if cdir else 1) + if im(ndir).is_negative: + if arg0.is_negative: + return -pi - res + elif im(ndir).is_positive: + if arg0.is_positive: + return pi - res + else: + return self.rewrite(log)._eval_nseries(x, n, logx=logx, cdir=cdir) + return res + + def _eval_rewrite_as_acos(self, x, **kwargs): + return pi/2 - acos(x) + + def _eval_rewrite_as_atan(self, x, **kwargs): + return 2*atan(x/(1 + sqrt(1 - x**2))) + + def _eval_rewrite_as_log(self, x, **kwargs): + return -S.ImaginaryUnit*log(S.ImaginaryUnit*x + sqrt(1 - x**2)) + + _eval_rewrite_as_tractable = _eval_rewrite_as_log + + def _eval_rewrite_as_acot(self, arg, **kwargs): + return 2*acot((1 + sqrt(1 - arg**2))/arg) + + def _eval_rewrite_as_asec(self, arg, **kwargs): + return pi/2 - asec(1/arg) + + def _eval_rewrite_as_acsc(self, arg, **kwargs): + return acsc(1/arg) + + def _eval_is_extended_real(self): + x = self.args[0] + return x.is_extended_real and (1 - abs(x)).is_nonnegative + + def inverse(self, argindex=1): + """ + Returns the inverse of this function. + """ + return sin + + +class acos(InverseTrigonometricFunction): + r""" + The inverse cosine function. + + Explanation + =========== + + Returns the arc cosine of x (measured in radians). + + ``acos(x)`` will evaluate automatically in the cases + $x \in \{\infty, -\infty, 0, 1, -1\}$ and for some instances when + the result is a rational multiple of $\pi$ (see the eval class method). + + ``acos(zoo)`` evaluates to ``zoo`` + (see note in :class:`sympy.functions.elementary.trigonometric.asec`) + + A purely imaginary argument will be rewritten to asinh. + + Examples + ======== + + >>> from sympy import acos, oo + >>> acos(1) + 0 + >>> acos(0) + pi/2 + >>> acos(oo) + oo*I + + See Also + ======== + + sin, csc, cos, sec, tan, cot + asin, acsc, asec, atan, acot, atan2 + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Inverse_trigonometric_functions + .. [2] https://dlmf.nist.gov/4.23 + .. [3] https://functions.wolfram.com/ElementaryFunctions/ArcCos + + """ + + def fdiff(self, argindex=1): + if argindex == 1: + return -1/sqrt(1 - self.args[0]**2) + else: + raise ArgumentIndexError(self, argindex) + + def _eval_is_rational(self): + s = self.func(*self.args) + if s.func == self.func: + if s.args[0].is_rational: + return False + else: + return s.is_rational + + @classmethod + def eval(cls, arg): + if arg.is_Number: + if arg is S.NaN: + return S.NaN + elif arg is S.Infinity: + return S.Infinity*S.ImaginaryUnit + elif arg is S.NegativeInfinity: + return S.NegativeInfinity*S.ImaginaryUnit + elif arg.is_zero: + return pi/2 + elif arg is S.One: + return S.Zero + elif arg is S.NegativeOne: + return pi + + if arg is S.ComplexInfinity: + return S.ComplexInfinity + + if arg.is_number: + asin_table = cls._asin_table() + if arg in asin_table: + return pi/2 - asin_table[arg] + elif -arg in asin_table: + return pi/2 + asin_table[-arg] + + i_coeff = _imaginary_unit_as_coefficient(arg) + if i_coeff is not None: + return pi/2 - asin(arg) + + if arg.is_Mul and len(arg.args) == 2 and arg.args[0] == -1: + narg = arg.args[1] + minus = True + else: + narg = arg + minus = False + + if isinstance(narg, cos): + # acos(cos(x)) = x or acos(-cos(x)) = pi - x + ang = narg.args[0] + if ang.is_comparable: + if minus: + ang = pi - ang + ang %= 2*pi # restrict to [0,2*pi) + if ang > pi: # restrict to [0,pi] + ang = 2*pi - ang + return ang + + if isinstance(narg, sin): # acos(x) + asin(x) = pi/2 + ang = narg.args[0] + if ang.is_comparable: + if minus: + return pi/2 + asin(narg) + return pi/2 - asin(narg) + + @staticmethod + @cacheit + def taylor_term(n, x, *previous_terms): + if n == 0: + return pi/2 + elif n < 0 or n % 2 == 0: + return S.Zero + else: + x = sympify(x) + if len(previous_terms) >= 2 and n > 2: + p = previous_terms[-2] + return p*(n - 2)**2/(n*(n - 1))*x**2 + else: + k = (n - 1) // 2 + R = RisingFactorial(S.Half, k) + F = factorial(k) + return -R/F*x**n/n + + def _eval_as_leading_term(self, x, logx, cdir): + arg = self.args[0] + x0 = arg.subs(x, 0).cancel() + if x0 is S.NaN: + return self.func(arg.as_leading_term(x)) + # Handling branch points + if x0 == 1: + return sqrt(2)*sqrt((S.One - arg).as_leading_term(x)) + if x0 in (-S.One, S.ComplexInfinity): + return self.rewrite(log)._eval_as_leading_term(x, logx=logx, cdir=cdir) + # Handling points lying on branch cuts (-oo, -1) U (1, oo) + if (1 - x0**2).is_negative: + ndir = arg.dir(x, cdir if cdir else 1) + if im(ndir).is_negative: + if x0.is_negative: + return 2*pi - self.func(x0) + elif im(ndir).is_positive: + if x0.is_positive: + return -self.func(x0) + else: + return self.rewrite(log)._eval_as_leading_term(x, logx=logx, cdir=cdir).expand() + return self.func(x0) + + def _eval_is_extended_real(self): + x = self.args[0] + return x.is_extended_real and (1 - abs(x)).is_nonnegative + + def _eval_is_nonnegative(self): + return self._eval_is_extended_real() + + def _eval_nseries(self, x, n, logx, cdir=0): # acos + from sympy.series.order import O + arg0 = self.args[0].subs(x, 0) + # Handling branch points + if arg0 is S.One: + t = Dummy('t', positive=True) + ser = acos(S.One - t**2).rewrite(log).nseries(t, 0, 2*n) + arg1 = S.One - self.args[0] + f = arg1.as_leading_term(x) + g = (arg1 - f)/ f + if not g.is_meromorphic(x, 0): # cannot be expanded + return O(1) if n == 0 else O(sqrt(x)) + res1 = sqrt(S.One + g)._eval_nseries(x, n=n, logx=logx) + res = (res1.removeO()*sqrt(f)).expand() + return ser.removeO().subs(t, res).expand().powsimp() + O(x**n, x) + + if arg0 is S.NegativeOne: + t = Dummy('t', positive=True) + ser = acos(S.NegativeOne + t**2).rewrite(log).nseries(t, 0, 2*n) + arg1 = S.One + self.args[0] + f = arg1.as_leading_term(x) + g = (arg1 - f)/ f + if not g.is_meromorphic(x, 0): # cannot be expanded + return O(1) if n == 0 else pi + O(sqrt(x)) + res1 = sqrt(S.One + g)._eval_nseries(x, n=n, logx=logx) + res = (res1.removeO()*sqrt(f)).expand() + return ser.removeO().subs(t, res).expand().powsimp() + O(x**n, x) + + res = super()._eval_nseries(x, n=n, logx=logx) + if arg0 is S.ComplexInfinity: + return res + # Handling points lying on branch cuts (-oo, -1) U (1, oo) + if (1 - arg0**2).is_negative: + ndir = self.args[0].dir(x, cdir if cdir else 1) + if im(ndir).is_negative: + if arg0.is_negative: + return 2*pi - res + elif im(ndir).is_positive: + if arg0.is_positive: + return -res + else: + return self.rewrite(log)._eval_nseries(x, n, logx=logx, cdir=cdir) + return res + + def _eval_rewrite_as_log(self, x, **kwargs): + return pi/2 + S.ImaginaryUnit*\ + log(S.ImaginaryUnit*x + sqrt(1 - x**2)) + + _eval_rewrite_as_tractable = _eval_rewrite_as_log + + def _eval_rewrite_as_asin(self, x, **kwargs): + return pi/2 - asin(x) + + def _eval_rewrite_as_atan(self, x, **kwargs): + return atan(sqrt(1 - x**2)/x) + (pi/2)*(1 - x*sqrt(1/x**2)) + + def inverse(self, argindex=1): + """ + Returns the inverse of this function. + """ + return cos + + def _eval_rewrite_as_acot(self, arg, **kwargs): + return pi/2 - 2*acot((1 + sqrt(1 - arg**2))/arg) + + def _eval_rewrite_as_asec(self, arg, **kwargs): + return asec(1/arg) + + def _eval_rewrite_as_acsc(self, arg, **kwargs): + return pi/2 - acsc(1/arg) + + def _eval_conjugate(self): + z = self.args[0] + r = self.func(self.args[0].conjugate()) + if z.is_extended_real is False: + return r + elif z.is_extended_real and (z + 1).is_nonnegative and (z - 1).is_nonpositive: + return r + + +class atan(InverseTrigonometricFunction): + r""" + The inverse tangent function. + + Returns the arc tangent of x (measured in radians). + + Explanation + =========== + + ``atan(x)`` will evaluate automatically in the cases + $x \in \{\infty, -\infty, 0, 1, -1\}$ and for some instances when the + result is a rational multiple of $\pi$ (see the eval class method). + + Examples + ======== + + >>> from sympy import atan, oo + >>> atan(0) + 0 + >>> atan(1) + pi/4 + >>> atan(oo) + pi/2 + + See Also + ======== + + sin, csc, cos, sec, tan, cot + asin, acsc, acos, asec, acot, atan2 + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Inverse_trigonometric_functions + .. [2] https://dlmf.nist.gov/4.23 + .. [3] https://functions.wolfram.com/ElementaryFunctions/ArcTan + + """ + + args: tuple[Expr] + + _singularities = (S.ImaginaryUnit, -S.ImaginaryUnit) + + def fdiff(self, argindex=1): + if argindex == 1: + return 1/(1 + self.args[0]**2) + else: + raise ArgumentIndexError(self, argindex) + + def _eval_is_rational(self): + s = self.func(*self.args) + if s.func == self.func: + if s.args[0].is_rational: + return False + else: + return s.is_rational + + def _eval_is_positive(self): + return self.args[0].is_extended_positive + + def _eval_is_nonnegative(self): + return self.args[0].is_extended_nonnegative + + def _eval_is_zero(self): + return self.args[0].is_zero + + def _eval_is_real(self): + return self.args[0].is_extended_real + + @classmethod + def eval(cls, arg): + if arg.is_Number: + if arg is S.NaN: + return S.NaN + elif arg is S.Infinity: + return pi/2 + elif arg is S.NegativeInfinity: + return -pi/2 + elif arg.is_zero: + return S.Zero + elif arg is S.One: + return pi/4 + elif arg is S.NegativeOne: + return -pi/4 + + if arg is S.ComplexInfinity: + from sympy.calculus.accumulationbounds import AccumBounds + return AccumBounds(-pi/2, pi/2) + + if arg.could_extract_minus_sign(): + return -cls(-arg) + + if arg.is_number: + atan_table = cls._atan_table() + if arg in atan_table: + return atan_table[arg] + + i_coeff = _imaginary_unit_as_coefficient(arg) + if i_coeff is not None: + from sympy.functions.elementary.hyperbolic import atanh + return S.ImaginaryUnit*atanh(i_coeff) + + if arg.is_zero: + return S.Zero + + if isinstance(arg, tan): + ang = arg.args[0] + if ang.is_comparable: + ang %= pi # restrict to [0,pi) + if ang > pi/2: # restrict to [-pi/2,pi/2] + ang -= pi + + return ang + + if isinstance(arg, cot): # atan(x) + acot(x) = pi/2 + ang = arg.args[0] + if ang.is_comparable: + ang = pi/2 - acot(arg) + if ang > pi/2: # restrict to [-pi/2,pi/2] + ang -= pi + return ang + + @staticmethod + @cacheit + def taylor_term(n, x, *previous_terms): + if n < 0 or n % 2 == 0: + return S.Zero + else: + x = sympify(x) + return S.NegativeOne**((n - 1)//2)*x**n/n + + def _eval_as_leading_term(self, x, logx, cdir): + arg = self.args[0] + x0 = arg.subs(x, 0).cancel() + if x0 is S.NaN: + return self.func(arg.as_leading_term(x)) + if x0.is_zero: + return arg.as_leading_term(x) + # Handling branch points + if x0 in (-S.ImaginaryUnit, S.ImaginaryUnit, S.ComplexInfinity): + return self.rewrite(log)._eval_as_leading_term(x, logx=logx, cdir=cdir).expand() + # Handling points lying on branch cuts (-I*oo, -I) U (I, I*oo) + if (1 + x0**2).is_negative: + ndir = arg.dir(x, cdir if cdir else 1) + if re(ndir).is_negative: + if im(x0).is_positive: + return self.func(x0) - pi + elif re(ndir).is_positive: + if im(x0).is_negative: + return self.func(x0) + pi + else: + return self.rewrite(log)._eval_as_leading_term(x, logx=logx, cdir=cdir).expand() + return self.func(x0) + + def _eval_nseries(self, x, n, logx, cdir=0): # atan + arg0 = self.args[0].subs(x, 0) + + # Handling branch points + if arg0 in (S.ImaginaryUnit, S.NegativeOne*S.ImaginaryUnit): + return self.rewrite(log)._eval_nseries(x, n, logx=logx, cdir=cdir) + + res = super()._eval_nseries(x, n=n, logx=logx) + ndir = self.args[0].dir(x, cdir if cdir else 1) + if arg0 is S.ComplexInfinity: + if re(ndir) > 0: + return res - pi + return res + # Handling points lying on branch cuts (-I*oo, -I) U (I, I*oo) + if (1 + arg0**2).is_negative: + if re(ndir).is_negative: + if im(arg0).is_positive: + return res - pi + elif re(ndir).is_positive: + if im(arg0).is_negative: + return res + pi + else: + return self.rewrite(log)._eval_nseries(x, n, logx=logx, cdir=cdir) + return res + + def _eval_rewrite_as_log(self, x, **kwargs): + return S.ImaginaryUnit/2*(log(S.One - S.ImaginaryUnit*x) + - log(S.One + S.ImaginaryUnit*x)) + + _eval_rewrite_as_tractable = _eval_rewrite_as_log + + def _eval_aseries(self, n, args0, x, logx): + if args0[0] in [S.Infinity, S.NegativeInfinity]: + return (pi/2 - atan(1/self.args[0]))._eval_nseries(x, n, logx) + else: + return super()._eval_aseries(n, args0, x, logx) + + def inverse(self, argindex=1): + """ + Returns the inverse of this function. + """ + return tan + + def _eval_rewrite_as_asin(self, arg, **kwargs): + return sqrt(arg**2)/arg*(pi/2 - asin(1/sqrt(1 + arg**2))) + + def _eval_rewrite_as_acos(self, arg, **kwargs): + return sqrt(arg**2)/arg*acos(1/sqrt(1 + arg**2)) + + def _eval_rewrite_as_acot(self, arg, **kwargs): + return acot(1/arg) + + def _eval_rewrite_as_asec(self, arg, **kwargs): + return sqrt(arg**2)/arg*asec(sqrt(1 + arg**2)) + + def _eval_rewrite_as_acsc(self, arg, **kwargs): + return sqrt(arg**2)/arg*(pi/2 - acsc(sqrt(1 + arg**2))) + + +class acot(InverseTrigonometricFunction): + r""" + The inverse cotangent function. + + Returns the arc cotangent of x (measured in radians). + + Explanation + =========== + + ``acot(x)`` will evaluate automatically in the cases + $x \in \{\infty, -\infty, \tilde{\infty}, 0, 1, -1\}$ + and for some instances when the result is a rational multiple of $\pi$ + (see the eval class method). + + A purely imaginary argument will lead to an ``acoth`` expression. + + ``acot(x)`` has a branch cut along $(-i, i)$, hence it is discontinuous + at 0. Its range for real $x$ is $(-\frac{\pi}{2}, \frac{\pi}{2}]$. + + Examples + ======== + + >>> from sympy import acot, sqrt + >>> acot(0) + pi/2 + >>> acot(1) + pi/4 + >>> acot(sqrt(3) - 2) + -5*pi/12 + + See Also + ======== + + sin, csc, cos, sec, tan, cot + asin, acsc, acos, asec, atan, atan2 + + References + ========== + + .. [1] https://dlmf.nist.gov/4.23 + .. [2] https://functions.wolfram.com/ElementaryFunctions/ArcCot + + """ + _singularities = (S.ImaginaryUnit, -S.ImaginaryUnit) + + def fdiff(self, argindex=1): + if argindex == 1: + return -1/(1 + self.args[0]**2) + else: + raise ArgumentIndexError(self, argindex) + + def _eval_is_rational(self): + s = self.func(*self.args) + if s.func == self.func: + if s.args[0].is_rational: + return False + else: + return s.is_rational + + def _eval_is_positive(self): + return self.args[0].is_nonnegative + + def _eval_is_negative(self): + return self.args[0].is_negative + + def _eval_is_extended_real(self): + return self.args[0].is_extended_real + + @classmethod + def eval(cls, arg): + if arg.is_Number: + if arg is S.NaN: + return S.NaN + elif arg is S.Infinity: + return S.Zero + elif arg is S.NegativeInfinity: + return S.Zero + elif arg.is_zero: + return pi/ 2 + elif arg is S.One: + return pi/4 + elif arg is S.NegativeOne: + return -pi/4 + + if arg is S.ComplexInfinity: + return S.Zero + + if arg.could_extract_minus_sign(): + return -cls(-arg) + + if arg.is_number: + atan_table = cls._atan_table() + if arg in atan_table: + ang = pi/2 - atan_table[arg] + if ang > pi/2: # restrict to (-pi/2,pi/2] + ang -= pi + return ang + + i_coeff = _imaginary_unit_as_coefficient(arg) + if i_coeff is not None: + from sympy.functions.elementary.hyperbolic import acoth + return -S.ImaginaryUnit*acoth(i_coeff) + + if arg.is_zero: + return pi*S.Half + + if isinstance(arg, cot): + ang = arg.args[0] + if ang.is_comparable: + ang %= pi # restrict to [0,pi) + if ang > pi/2: # restrict to (-pi/2,pi/2] + ang -= pi + return ang + + if isinstance(arg, tan): # atan(x) + acot(x) = pi/2 + ang = arg.args[0] + if ang.is_comparable: + ang = pi/2 - atan(arg) + if ang > pi/2: # restrict to (-pi/2,pi/2] + ang -= pi + return ang + + @staticmethod + @cacheit + def taylor_term(n, x, *previous_terms): + if n == 0: + return pi/2 # FIX THIS + elif n < 0 or n % 2 == 0: + return S.Zero + else: + x = sympify(x) + return S.NegativeOne**((n + 1)//2)*x**n/n + + def _eval_as_leading_term(self, x, logx, cdir): + arg = self.args[0] + x0 = arg.subs(x, 0).cancel() + if x0 is S.NaN: + return self.func(arg.as_leading_term(x)) + if x0 is S.ComplexInfinity: + return (1/arg).as_leading_term(x) + # Handling branch points + if x0 in (-S.ImaginaryUnit, S.ImaginaryUnit, S.Zero): + return self.rewrite(log)._eval_as_leading_term(x, logx=logx, cdir=cdir).expand() + # Handling points lying on branch cuts [-I, I] + if x0.is_imaginary and (1 + x0**2).is_positive: + ndir = arg.dir(x, cdir if cdir else 1) + if re(ndir).is_positive: + if im(x0).is_positive: + return self.func(x0) + pi + elif re(ndir).is_negative: + if im(x0).is_negative: + return self.func(x0) - pi + else: + return self.rewrite(log)._eval_as_leading_term(x, logx=logx, cdir=cdir).expand() + return self.func(x0) + + def _eval_nseries(self, x, n, logx, cdir=0): # acot + arg0 = self.args[0].subs(x, 0) + + # Handling branch points + if arg0 in (S.ImaginaryUnit, S.NegativeOne*S.ImaginaryUnit): + return self.rewrite(log)._eval_nseries(x, n, logx=logx, cdir=cdir) + + res = super()._eval_nseries(x, n=n, logx=logx) + if arg0 is S.ComplexInfinity: + return res + ndir = self.args[0].dir(x, cdir if cdir else 1) + if arg0.is_zero: + if re(ndir) < 0: + return res - pi + return res + # Handling points lying on branch cuts [-I, I] + if arg0.is_imaginary and (1 + arg0**2).is_positive: + if re(ndir).is_positive: + if im(arg0).is_positive: + return res + pi + elif re(ndir).is_negative: + if im(arg0).is_negative: + return res - pi + else: + return self.rewrite(log)._eval_nseries(x, n, logx=logx, cdir=cdir) + return res + + def _eval_aseries(self, n, args0, x, logx): + if args0[0] in [S.Infinity, S.NegativeInfinity]: + return atan(1/self.args[0])._eval_nseries(x, n, logx) + else: + return super()._eval_aseries(n, args0, x, logx) + + def _eval_rewrite_as_log(self, x, **kwargs): + return S.ImaginaryUnit/2*(log(1 - S.ImaginaryUnit/x) + - log(1 + S.ImaginaryUnit/x)) + + _eval_rewrite_as_tractable = _eval_rewrite_as_log + + def inverse(self, argindex=1): + """ + Returns the inverse of this function. + """ + return cot + + def _eval_rewrite_as_asin(self, arg, **kwargs): + return (arg*sqrt(1/arg**2)* + (pi/2 - asin(sqrt(-arg**2)/sqrt(-arg**2 - 1)))) + + def _eval_rewrite_as_acos(self, arg, **kwargs): + return arg*sqrt(1/arg**2)*acos(sqrt(-arg**2)/sqrt(-arg**2 - 1)) + + def _eval_rewrite_as_atan(self, arg, **kwargs): + return atan(1/arg) + + def _eval_rewrite_as_asec(self, arg, **kwargs): + return arg*sqrt(1/arg**2)*asec(sqrt((1 + arg**2)/arg**2)) + + def _eval_rewrite_as_acsc(self, arg, **kwargs): + return arg*sqrt(1/arg**2)*(pi/2 - acsc(sqrt((1 + arg**2)/arg**2))) + + +class asec(InverseTrigonometricFunction): + r""" + The inverse secant function. + + Returns the arc secant of x (measured in radians). + + Explanation + =========== + + ``asec(x)`` will evaluate automatically in the cases + $x \in \{\infty, -\infty, 0, 1, -1\}$ and for some instances when the + result is a rational multiple of $\pi$ (see the eval class method). + + ``asec(x)`` has branch cut in the interval $[-1, 1]$. For complex arguments, + it can be defined [4]_ as + + .. math:: + \operatorname{sec^{-1}}(z) = -i\frac{\log\left(\sqrt{1 - z^2} + 1\right)}{z} + + At ``x = 0``, for positive branch cut, the limit evaluates to ``zoo``. For + negative branch cut, the limit + + .. math:: + \lim_{z \to 0}-i\frac{\log\left(-\sqrt{1 - z^2} + 1\right)}{z} + + simplifies to :math:`-i\log\left(z/2 + O\left(z^3\right)\right)` which + ultimately evaluates to ``zoo``. + + As ``acos(x) = asec(1/x)``, a similar argument can be given for + ``acos(x)``. + + Examples + ======== + + >>> from sympy import asec, oo + >>> asec(1) + 0 + >>> asec(-1) + pi + >>> asec(0) + zoo + >>> asec(-oo) + pi/2 + + See Also + ======== + + sin, csc, cos, sec, tan, cot + asin, acsc, acos, atan, acot, atan2 + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Inverse_trigonometric_functions + .. [2] https://dlmf.nist.gov/4.23 + .. [3] https://functions.wolfram.com/ElementaryFunctions/ArcSec + .. [4] https://reference.wolfram.com/language/ref/ArcSec.html + + """ + + @classmethod + def eval(cls, arg): + if arg.is_zero: + return S.ComplexInfinity + if arg.is_Number: + if arg is S.NaN: + return S.NaN + elif arg is S.One: + return S.Zero + elif arg is S.NegativeOne: + return pi + if arg in [S.Infinity, S.NegativeInfinity, S.ComplexInfinity]: + return pi/2 + + if arg.is_number: + acsc_table = cls._acsc_table() + if arg in acsc_table: + return pi/2 - acsc_table[arg] + elif -arg in acsc_table: + return pi/2 + acsc_table[-arg] + + if arg.is_infinite: + return pi/2 + + if arg.is_Mul and len(arg.args) == 2 and arg.args[0] == -1: + narg = arg.args[1] + minus = True + else: + narg = arg + minus = False + + if isinstance(narg, sec): + # asec(sec(x)) = x or asec(-sec(x)) = pi - x + ang = narg.args[0] + if ang.is_comparable: + if minus: + ang = pi - ang + ang %= 2*pi # restrict to [0,2*pi) + if ang > pi: # restrict to [0,pi] + ang = 2*pi - ang + return ang + + if isinstance(narg, csc): # asec(x) + acsc(x) = pi/2 + ang = narg.args[0] + if ang.is_comparable: + if minus: + pi/2 + acsc(narg) + return pi/2 - acsc(narg) + + def fdiff(self, argindex=1): + if argindex == 1: + return 1/(self.args[0]**2*sqrt(1 - 1/self.args[0]**2)) + else: + raise ArgumentIndexError(self, argindex) + + def inverse(self, argindex=1): + """ + Returns the inverse of this function. + """ + return sec + + @staticmethod + @cacheit + def taylor_term(n, x, *previous_terms): + if n == 0: + return S.ImaginaryUnit*log(2 / x) + elif n < 0 or n % 2 == 1: + return S.Zero + else: + x = sympify(x) + if len(previous_terms) > 2 and n > 2: + p = previous_terms[-2] + return p * ((n - 1)*(n-2)) * x**2/(4 * (n//2)**2) + else: + k = n // 2 + R = RisingFactorial(S.Half, k) * n + F = factorial(k) * n // 2 * n // 2 + return -S.ImaginaryUnit * R / F * x**n / 4 + + def _eval_as_leading_term(self, x, logx, cdir): + arg = self.args[0] + x0 = arg.subs(x, 0).cancel() + if x0 is S.NaN: + return self.func(arg.as_leading_term(x)) + # Handling branch points + if x0 == 1: + return sqrt(2)*sqrt((arg - S.One).as_leading_term(x)) + if x0 in (-S.One, S.Zero): + return self.rewrite(log)._eval_as_leading_term(x, logx=logx, cdir=cdir) + # Handling points lying on branch cuts (-1, 1) + if x0.is_real and (1 - x0**2).is_positive: + ndir = arg.dir(x, cdir if cdir else 1) + if im(ndir).is_negative: + if x0.is_positive: + return -self.func(x0) + elif im(ndir).is_positive: + if x0.is_negative: + return 2*pi - self.func(x0) + else: + return self.rewrite(log)._eval_as_leading_term(x, logx=logx, cdir=cdir).expand() + return self.func(x0) + + def _eval_nseries(self, x, n, logx, cdir=0): # asec + from sympy.series.order import O + arg0 = self.args[0].subs(x, 0) + # Handling branch points + if arg0 is S.One: + t = Dummy('t', positive=True) + ser = asec(S.One + t**2).rewrite(log).nseries(t, 0, 2*n) + arg1 = S.NegativeOne + self.args[0] + f = arg1.as_leading_term(x) + g = (arg1 - f)/ f + res1 = sqrt(S.One + g)._eval_nseries(x, n=n, logx=logx) + res = (res1.removeO()*sqrt(f)).expand() + return ser.removeO().subs(t, res).expand().powsimp() + O(x**n, x) + + if arg0 is S.NegativeOne: + t = Dummy('t', positive=True) + ser = asec(S.NegativeOne - t**2).rewrite(log).nseries(t, 0, 2*n) + arg1 = S.NegativeOne - self.args[0] + f = arg1.as_leading_term(x) + g = (arg1 - f)/ f + res1 = sqrt(S.One + g)._eval_nseries(x, n=n, logx=logx) + res = (res1.removeO()*sqrt(f)).expand() + return ser.removeO().subs(t, res).expand().powsimp() + O(x**n, x) + + res = super()._eval_nseries(x, n=n, logx=logx) + if arg0 is S.ComplexInfinity: + return res + # Handling points lying on branch cuts (-1, 1) + if arg0.is_real and (1 - arg0**2).is_positive: + ndir = self.args[0].dir(x, cdir if cdir else 1) + if im(ndir).is_negative: + if arg0.is_positive: + return -res + elif im(ndir).is_positive: + if arg0.is_negative: + return 2*pi - res + else: + return self.rewrite(log)._eval_nseries(x, n, logx=logx, cdir=cdir) + return res + + def _eval_is_extended_real(self): + x = self.args[0] + if x.is_extended_real is False: + return False + return fuzzy_or(((x - 1).is_nonnegative, (-x - 1).is_nonnegative)) + + def _eval_rewrite_as_log(self, arg, **kwargs): + return pi/2 + S.ImaginaryUnit*log(S.ImaginaryUnit/arg + sqrt(1 - 1/arg**2)) + + _eval_rewrite_as_tractable = _eval_rewrite_as_log + + def _eval_rewrite_as_asin(self, arg, **kwargs): + return pi/2 - asin(1/arg) + + def _eval_rewrite_as_acos(self, arg, **kwargs): + return acos(1/arg) + + def _eval_rewrite_as_atan(self, x, **kwargs): + sx2x = sqrt(x**2)/x + return pi/2*(1 - sx2x) + sx2x*atan(sqrt(x**2 - 1)) + + def _eval_rewrite_as_acot(self, x, **kwargs): + sx2x = sqrt(x**2)/x + return pi/2*(1 - sx2x) + sx2x*acot(1/sqrt(x**2 - 1)) + + def _eval_rewrite_as_acsc(self, arg, **kwargs): + return pi/2 - acsc(arg) + + +class acsc(InverseTrigonometricFunction): + r""" + The inverse cosecant function. + + Returns the arc cosecant of x (measured in radians). + + Explanation + =========== + + ``acsc(x)`` will evaluate automatically in the cases + $x \in \{\infty, -\infty, 0, 1, -1\}$` and for some instances when the + result is a rational multiple of $\pi$ (see the ``eval`` class method). + + Examples + ======== + + >>> from sympy import acsc, oo + >>> acsc(1) + pi/2 + >>> acsc(-1) + -pi/2 + >>> acsc(oo) + 0 + >>> acsc(-oo) == acsc(oo) + True + >>> acsc(0) + zoo + + See Also + ======== + + sin, csc, cos, sec, tan, cot + asin, acos, asec, atan, acot, atan2 + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Inverse_trigonometric_functions + .. [2] https://dlmf.nist.gov/4.23 + .. [3] https://functions.wolfram.com/ElementaryFunctions/ArcCsc + + """ + + @classmethod + def eval(cls, arg): + if arg.is_zero: + return S.ComplexInfinity + if arg.is_Number: + if arg is S.NaN: + return S.NaN + elif arg is S.One: + return pi/2 + elif arg is S.NegativeOne: + return -pi/2 + if arg in [S.Infinity, S.NegativeInfinity, S.ComplexInfinity]: + return S.Zero + + if arg.could_extract_minus_sign(): + return -cls(-arg) + + if arg.is_infinite: + return S.Zero + + if arg.is_number: + acsc_table = cls._acsc_table() + if arg in acsc_table: + return acsc_table[arg] + + if isinstance(arg, csc): + ang = arg.args[0] + if ang.is_comparable: + ang %= 2*pi # restrict to [0,2*pi) + if ang > pi: # restrict to (-pi,pi] + ang = pi - ang + + # restrict to [-pi/2,pi/2] + if ang > pi/2: + ang = pi - ang + if ang < -pi/2: + ang = -pi - ang + + return ang + + if isinstance(arg, sec): # asec(x) + acsc(x) = pi/2 + ang = arg.args[0] + if ang.is_comparable: + return pi/2 - asec(arg) + + def fdiff(self, argindex=1): + if argindex == 1: + return -1/(self.args[0]**2*sqrt(1 - 1/self.args[0]**2)) + else: + raise ArgumentIndexError(self, argindex) + + def inverse(self, argindex=1): + """ + Returns the inverse of this function. + """ + return csc + + @staticmethod + @cacheit + def taylor_term(n, x, *previous_terms): + if n == 0: + return pi/2 - S.ImaginaryUnit*log(2) + S.ImaginaryUnit*log(x) + elif n < 0 or n % 2 == 1: + return S.Zero + else: + x = sympify(x) + if len(previous_terms) > 2 and n > 2: + p = previous_terms[-2] + return p * ((n - 1)*(n-2)) * x**2/(4 * (n//2)**2) + else: + k = n // 2 + R = RisingFactorial(S.Half, k) * n + F = factorial(k) * n // 2 * n // 2 + return S.ImaginaryUnit * R / F * x**n / 4 + + def _eval_as_leading_term(self, x, logx, cdir): + arg = self.args[0] + x0 = arg.subs(x, 0).cancel() + if x0 is S.NaN: + return self.func(arg.as_leading_term(x)) + # Handling branch points + if x0 in (-S.One, S.One, S.Zero): + return self.rewrite(log)._eval_as_leading_term(x, logx=logx, cdir=cdir).expand() + if x0 is S.ComplexInfinity: + return (1/arg).as_leading_term(x) + # Handling points lying on branch cuts (-1, 1) + if x0.is_real and (1 - x0**2).is_positive: + ndir = arg.dir(x, cdir if cdir else 1) + if im(ndir).is_negative: + if x0.is_positive: + return pi - self.func(x0) + elif im(ndir).is_positive: + if x0.is_negative: + return -pi - self.func(x0) + else: + return self.rewrite(log)._eval_as_leading_term(x, logx=logx, cdir=cdir).expand() + return self.func(x0) + + def _eval_nseries(self, x, n, logx, cdir=0): # acsc + from sympy.series.order import O + arg0 = self.args[0].subs(x, 0) + # Handling branch points + if arg0 is S.One: + t = Dummy('t', positive=True) + ser = acsc(S.One + t**2).rewrite(log).nseries(t, 0, 2*n) + arg1 = S.NegativeOne + self.args[0] + f = arg1.as_leading_term(x) + g = (arg1 - f)/ f + res1 = sqrt(S.One + g)._eval_nseries(x, n=n, logx=logx) + res = (res1.removeO()*sqrt(f)).expand() + return ser.removeO().subs(t, res).expand().powsimp() + O(x**n, x) + + if arg0 is S.NegativeOne: + t = Dummy('t', positive=True) + ser = acsc(S.NegativeOne - t**2).rewrite(log).nseries(t, 0, 2*n) + arg1 = S.NegativeOne - self.args[0] + f = arg1.as_leading_term(x) + g = (arg1 - f)/ f + res1 = sqrt(S.One + g)._eval_nseries(x, n=n, logx=logx) + res = (res1.removeO()*sqrt(f)).expand() + return ser.removeO().subs(t, res).expand().powsimp() + O(x**n, x) + + res = super()._eval_nseries(x, n=n, logx=logx) + if arg0 is S.ComplexInfinity: + return res + # Handling points lying on branch cuts (-1, 1) + if arg0.is_real and (1 - arg0**2).is_positive: + ndir = self.args[0].dir(x, cdir if cdir else 1) + if im(ndir).is_negative: + if arg0.is_positive: + return pi - res + elif im(ndir).is_positive: + if arg0.is_negative: + return -pi - res + else: + return self.rewrite(log)._eval_nseries(x, n, logx=logx, cdir=cdir) + return res + + def _eval_rewrite_as_log(self, arg, **kwargs): + return -S.ImaginaryUnit*log(S.ImaginaryUnit/arg + sqrt(1 - 1/arg**2)) + + _eval_rewrite_as_tractable = _eval_rewrite_as_log + + def _eval_rewrite_as_asin(self, arg, **kwargs): + return asin(1/arg) + + def _eval_rewrite_as_acos(self, arg, **kwargs): + return pi/2 - acos(1/arg) + + def _eval_rewrite_as_atan(self, x, **kwargs): + return sqrt(x**2)/x*(pi/2 - atan(sqrt(x**2 - 1))) + + def _eval_rewrite_as_acot(self, arg, **kwargs): + return sqrt(arg**2)/arg*(pi/2 - acot(1/sqrt(arg**2 - 1))) + + def _eval_rewrite_as_asec(self, arg, **kwargs): + return pi/2 - asec(arg) + + +class atan2(InverseTrigonometricFunction): + r""" + The function ``atan2(y, x)`` computes `\operatorname{atan}(y/x)` taking + two arguments `y` and `x`. Signs of both `y` and `x` are considered to + determine the appropriate quadrant of `\operatorname{atan}(y/x)`. + The range is `(-\pi, \pi]`. The complete definition reads as follows: + + .. math:: + + \operatorname{atan2}(y, x) = + \begin{cases} + \arctan\left(\frac y x\right) & \qquad x > 0 \\ + \arctan\left(\frac y x\right) + \pi& \qquad y \ge 0, x < 0 \\ + \arctan\left(\frac y x\right) - \pi& \qquad y < 0, x < 0 \\ + +\frac{\pi}{2} & \qquad y > 0, x = 0 \\ + -\frac{\pi}{2} & \qquad y < 0, x = 0 \\ + \text{undefined} & \qquad y = 0, x = 0 + \end{cases} + + Attention: Note the role reversal of both arguments. The `y`-coordinate + is the first argument and the `x`-coordinate the second. + + If either `x` or `y` is complex: + + .. math:: + + \operatorname{atan2}(y, x) = + -i\log\left(\frac{x + iy}{\sqrt{x^2 + y^2}}\right) + + Examples + ======== + + Going counter-clock wise around the origin we find the + following angles: + + >>> from sympy import atan2 + >>> atan2(0, 1) + 0 + >>> atan2(1, 1) + pi/4 + >>> atan2(1, 0) + pi/2 + >>> atan2(1, -1) + 3*pi/4 + >>> atan2(0, -1) + pi + >>> atan2(-1, -1) + -3*pi/4 + >>> atan2(-1, 0) + -pi/2 + >>> atan2(-1, 1) + -pi/4 + + which are all correct. Compare this to the results of the ordinary + `\operatorname{atan}` function for the point `(x, y) = (-1, 1)` + + >>> from sympy import atan, S + >>> atan(S(1)/-1) + -pi/4 + >>> atan2(1, -1) + 3*pi/4 + + where only the `\operatorname{atan2}` function returns what we expect. + We can differentiate the function with respect to both arguments: + + >>> from sympy import diff + >>> from sympy.abc import x, y + >>> diff(atan2(y, x), x) + -y/(x**2 + y**2) + + >>> diff(atan2(y, x), y) + x/(x**2 + y**2) + + We can express the `\operatorname{atan2}` function in terms of + complex logarithms: + + >>> from sympy import log + >>> atan2(y, x).rewrite(log) + -I*log((x + I*y)/sqrt(x**2 + y**2)) + + and in terms of `\operatorname(atan)`: + + >>> from sympy import atan + >>> atan2(y, x).rewrite(atan) + Piecewise((2*atan(y/(x + sqrt(x**2 + y**2))), Ne(y, 0)), (pi, re(x) < 0), (0, Ne(x, 0)), (nan, True)) + + but note that this form is undefined on the negative real axis. + + See Also + ======== + + sin, csc, cos, sec, tan, cot + asin, acsc, acos, asec, atan, acot + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Inverse_trigonometric_functions + .. [2] https://en.wikipedia.org/wiki/Atan2 + .. [3] https://functions.wolfram.com/ElementaryFunctions/ArcTan2 + + """ + + @classmethod + def eval(cls, y, x): + from sympy.functions.special.delta_functions import Heaviside + if x is S.NegativeInfinity: + if y.is_zero: + # Special case y = 0 because we define Heaviside(0) = 1/2 + return pi + return 2*pi*(Heaviside(re(y))) - pi + elif x is S.Infinity: + return S.Zero + elif x.is_imaginary and y.is_imaginary and x.is_number and y.is_number: + x = im(x) + y = im(y) + + if x.is_extended_real and y.is_extended_real: + if x.is_positive: + return atan(y/x) + elif x.is_negative: + if y.is_negative: + return atan(y/x) - pi + elif y.is_nonnegative: + return atan(y/x) + pi + elif x.is_zero: + if y.is_positive: + return pi/2 + elif y.is_negative: + return -pi/2 + elif y.is_zero: + return S.NaN + if y.is_zero: + if x.is_extended_nonzero: + return pi*(S.One - Heaviside(x)) + if x.is_number: + return Piecewise((pi, re(x) < 0), + (0, Ne(x, 0)), + (S.NaN, True)) + if x.is_number and y.is_number: + return -S.ImaginaryUnit*log( + (x + S.ImaginaryUnit*y)/sqrt(x**2 + y**2)) + + def _eval_rewrite_as_log(self, y, x, **kwargs): + return -S.ImaginaryUnit*log((x + S.ImaginaryUnit*y)/sqrt(x**2 + y**2)) + + def _eval_rewrite_as_atan(self, y, x, **kwargs): + return Piecewise((2*atan(y/(x + sqrt(x**2 + y**2))), Ne(y, 0)), + (pi, re(x) < 0), + (0, Ne(x, 0)), + (S.NaN, True)) + + def _eval_rewrite_as_arg(self, y, x, **kwargs): + if x.is_extended_real and y.is_extended_real: + return arg_f(x + y*S.ImaginaryUnit) + n = x + S.ImaginaryUnit*y + d = x**2 + y**2 + return arg_f(n/sqrt(d)) - S.ImaginaryUnit*log(abs(n)/sqrt(abs(d))) + + def _eval_is_extended_real(self): + return self.args[0].is_extended_real and self.args[1].is_extended_real + + def _eval_conjugate(self): + return self.func(self.args[0].conjugate(), self.args[1].conjugate()) + + def fdiff(self, argindex): + y, x = self.args + if argindex == 1: + # Diff wrt y + return x/(x**2 + y**2) + elif argindex == 2: + # Diff wrt x + return 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b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/benchmarks/__pycache__/bench_special.cpython-312.pyc differ diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/benchmarks/bench_special.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/benchmarks/bench_special.py new file mode 100644 index 0000000000000000000000000000000000000000..25d7280c2cf31dcbff08065a78847ed03e0ebb05 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/benchmarks/bench_special.py @@ -0,0 +1,8 @@ +from sympy.core.symbol import symbols +from sympy.functions.special.spherical_harmonics import Ynm + +x, y = symbols('x,y') + + +def timeit_Ynm_xy(): + Ynm(1, 1, x, y) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/bessel.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/bessel.py new file mode 100644 index 0000000000000000000000000000000000000000..a24e7dc442d2a5a9bf7047113fd81b36c6b6ba36 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/bessel.py @@ -0,0 +1,2208 @@ +from functools import wraps + +from sympy.core import S +from sympy.core.add import Add +from sympy.core.cache import cacheit +from sympy.core.expr import Expr +from sympy.core.function import DefinedFunction, ArgumentIndexError, _mexpand +from sympy.core.logic import fuzzy_or, fuzzy_not +from sympy.core.numbers import Rational, pi, I +from sympy.core.power import Pow +from sympy.core.symbol import Dummy, uniquely_named_symbol, Wild +from sympy.core.sympify import sympify +from sympy.functions.combinatorial.factorials import factorial, RisingFactorial +from sympy.functions.elementary.trigonometric import sin, cos, csc, cot +from sympy.functions.elementary.integers import ceiling +from sympy.functions.elementary.exponential import exp, log +from sympy.functions.elementary.miscellaneous import cbrt, sqrt, root +from sympy.functions.elementary.complexes import (Abs, re, im, polar_lift, unpolarify) +from sympy.functions.special.gamma_functions import gamma, digamma, uppergamma +from sympy.functions.special.hyper import hyper +from sympy.polys.orthopolys import spherical_bessel_fn + +from mpmath import mp, workprec + +# TODO +# o Scorer functions G1 and G2 +# o Asymptotic expansions +# These are possible, e.g. for fixed order, but since the bessel type +# functions are oscillatory they are not actually tractable at +# infinity, so this is not particularly useful right now. +# o Nicer series expansions. +# o More rewriting. +# o Add solvers to ode.py (or rather add solvers for the hypergeometric equation). + + +class BesselBase(DefinedFunction): + """ + Abstract base class for Bessel-type functions. + + This class is meant to reduce code duplication. + All Bessel-type functions can 1) be differentiated, with the derivatives + expressed in terms of similar functions, and 2) be rewritten in terms + of other Bessel-type functions. + + Here, Bessel-type functions are assumed to have one complex parameter. + + To use this base class, define class attributes ``_a`` and ``_b`` such that + ``2*F_n' = -_a*F_{n+1} + b*F_{n-1}``. + + """ + + @property + def order(self): + """ The order of the Bessel-type function. """ + return self.args[0] + + @property + def argument(self): + """ The argument of the Bessel-type function. """ + return self.args[1] + + @classmethod + def eval(cls, nu, z): + return + + def fdiff(self, argindex=2): + if argindex != 2: + raise ArgumentIndexError(self, argindex) + return (self._b/2 * self.__class__(self.order - 1, self.argument) - + self._a/2 * self.__class__(self.order + 1, self.argument)) + + def _eval_conjugate(self): + z = self.argument + if z.is_extended_negative is False: + return self.__class__(self.order.conjugate(), z.conjugate()) + + def _eval_is_meromorphic(self, x, a): + nu, z = self.order, self.argument + + if nu.has(x): + return False + if not z._eval_is_meromorphic(x, a): + return None + z0 = z.subs(x, a) + if nu.is_integer: + if isinstance(self, (besselj, besseli, hn1, hn2, jn, yn)) or not nu.is_zero: + return fuzzy_not(z0.is_infinite) + return fuzzy_not(fuzzy_or([z0.is_zero, z0.is_infinite])) + + def _eval_expand_func(self, **hints): + nu, z, f = self.order, self.argument, self.__class__ + if nu.is_real: + if (nu - 1).is_positive: + return (-self._a*self._b*f(nu - 2, z)._eval_expand_func() + + 2*self._a*(nu - 1)*f(nu - 1, z)._eval_expand_func()/z) + elif (nu + 1).is_negative: + return (2*self._b*(nu + 1)*f(nu + 1, z)._eval_expand_func()/z - + self._a*self._b*f(nu + 2, z)._eval_expand_func()) + return self + + def _eval_simplify(self, **kwargs): + from sympy.simplify.simplify import besselsimp + return besselsimp(self) + + +class besselj(BesselBase): + r""" + Bessel function of the first kind. + + Explanation + =========== + + The Bessel $J$ function of order $\nu$ is defined to be the function + satisfying Bessel's differential equation + + .. math :: + z^2 \frac{\mathrm{d}^2 w}{\mathrm{d}z^2} + + z \frac{\mathrm{d}w}{\mathrm{d}z} + (z^2 - \nu^2) w = 0, + + with Laurent expansion + + .. math :: + J_\nu(z) = z^\nu \left(\frac{1}{\Gamma(\nu + 1) 2^\nu} + O(z^2) \right), + + if $\nu$ is not a negative integer. If $\nu=-n \in \mathbb{Z}_{<0}$ + *is* a negative integer, then the definition is + + .. math :: + J_{-n}(z) = (-1)^n J_n(z). + + Examples + ======== + + Create a Bessel function object: + + >>> from sympy import besselj, jn + >>> from sympy.abc import z, n + >>> b = besselj(n, z) + + Differentiate it: + + >>> b.diff(z) + besselj(n - 1, z)/2 - besselj(n + 1, z)/2 + + Rewrite in terms of spherical Bessel functions: + + >>> b.rewrite(jn) + sqrt(2)*sqrt(z)*jn(n - 1/2, z)/sqrt(pi) + + Access the parameter and argument: + + >>> b.order + n + >>> b.argument + z + + See Also + ======== + + bessely, besseli, besselk + + References + ========== + + .. [1] Abramowitz, Milton; Stegun, Irene A., eds. (1965), "Chapter 9", + Handbook of Mathematical Functions with Formulas, Graphs, and + Mathematical Tables + .. [2] Luke, Y. L. (1969), The Special Functions and Their + Approximations, Volume 1 + .. [3] https://en.wikipedia.org/wiki/Bessel_function + .. [4] https://functions.wolfram.com/Bessel-TypeFunctions/BesselJ/ + + """ + + _a = S.One + _b = S.One + + @classmethod + def eval(cls, nu, z): + if z.is_zero: + if nu.is_zero: + return S.One + elif (nu.is_integer and nu.is_zero is False) or re(nu).is_positive: + return S.Zero + elif re(nu).is_negative and not (nu.is_integer is True): + return S.ComplexInfinity + elif nu.is_imaginary: + return S.NaN + if z in (S.Infinity, S.NegativeInfinity): + return S.Zero + + if z.could_extract_minus_sign(): + return (z)**nu*(-z)**(-nu)*besselj(nu, -z) + if nu.is_integer: + if nu.could_extract_minus_sign(): + return S.NegativeOne**(-nu)*besselj(-nu, z) + newz = z.extract_multiplicatively(I) + if newz: # NOTE we don't want to change the function if z==0 + return I**(nu)*besseli(nu, newz) + + # branch handling: + if nu.is_integer: + newz = unpolarify(z) + if newz != z: + return besselj(nu, newz) + else: + newz, n = z.extract_branch_factor() + if n != 0: + return exp(2*n*pi*nu*I)*besselj(nu, newz) + nnu = unpolarify(nu) + if nu != nnu: + return besselj(nnu, z) + + def _eval_rewrite_as_besseli(self, nu, z, **kwargs): + return exp(I*pi*nu/2)*besseli(nu, polar_lift(-I)*z) + + def _eval_rewrite_as_bessely(self, nu, z, **kwargs): + if nu.is_integer is False: + return csc(pi*nu)*bessely(-nu, z) - cot(pi*nu)*bessely(nu, z) + + def _eval_rewrite_as_jn(self, nu, z, **kwargs): + return sqrt(2*z/pi)*jn(nu - S.Half, self.argument) + + def _eval_as_leading_term(self, x, logx, cdir): + nu, z = self.args + try: + arg = z.as_leading_term(x) + except NotImplementedError: + return self + c, e = arg.as_coeff_exponent(x) + + if e.is_positive: + return arg**nu/(2**nu*gamma(nu + 1)) + elif e.is_negative: + cdir = 1 if cdir == 0 else cdir + sign = c*cdir**e + if not sign.is_negative: + # Refer Abramowitz and Stegun 1965, p. 364 for more information on + # asymptotic approximation of besselj function. + return sqrt(2)*cos(z - pi*(2*nu + 1)/4)/sqrt(pi*z) + return self + + return super(besselj, self)._eval_as_leading_term(x, logx=logx, cdir=cdir) + + def _eval_is_extended_real(self): + nu, z = self.args + if nu.is_integer and z.is_extended_real: + return True + + def _eval_nseries(self, x, n, logx, cdir=0): + # Refer https://functions.wolfram.com/Bessel-TypeFunctions/BesselJ/06/01/04/01/01/0003/ + # for more information on nseries expansion of besselj function. + from sympy.series.order import Order + nu, z = self.args + + # In case of powers less than 1, number of terms need to be computed + # separately to avoid repeated callings of _eval_nseries with wrong n + try: + _, exp = z.leadterm(x) + except (ValueError, NotImplementedError): + return self + + if exp.is_positive: + newn = ceiling(n/exp) + o = Order(x**n, x) + r = (z/2)._eval_nseries(x, n, logx, cdir).removeO() + if r is S.Zero: + return o + t = (_mexpand(r**2) + o).removeO() + + term = r**nu/gamma(nu + 1) + s = [term] + for k in range(1, (newn + 1)//2): + term *= -t/(k*(nu + k)) + term = (_mexpand(term) + o).removeO() + s.append(term) + return Add(*s) + o + + return super(besselj, self)._eval_nseries(x, n, logx, cdir) + + +class bessely(BesselBase): + r""" + Bessel function of the second kind. + + Explanation + =========== + + The Bessel $Y$ function of order $\nu$ is defined as + + .. math :: + Y_\nu(z) = \lim_{\mu \to \nu} \frac{J_\mu(z) \cos(\pi \mu) + - J_{-\mu}(z)}{\sin(\pi \mu)}, + + where $J_\mu(z)$ is the Bessel function of the first kind. + + It is a solution to Bessel's equation, and linearly independent from + $J_\nu$. + + Examples + ======== + + >>> from sympy import bessely, yn + >>> from sympy.abc import z, n + >>> b = bessely(n, z) + >>> b.diff(z) + bessely(n - 1, z)/2 - bessely(n + 1, z)/2 + >>> b.rewrite(yn) + sqrt(2)*sqrt(z)*yn(n - 1/2, z)/sqrt(pi) + + See Also + ======== + + besselj, besseli, besselk + + References + ========== + + .. [1] https://functions.wolfram.com/Bessel-TypeFunctions/BesselY/ + + """ + + _a = S.One + _b = S.One + + @classmethod + def eval(cls, nu, z): + if z.is_zero: + if nu.is_zero: + return S.NegativeInfinity + elif re(nu).is_zero is False: + return S.ComplexInfinity + elif re(nu).is_zero: + return S.NaN + if z in (S.Infinity, S.NegativeInfinity): + return S.Zero + if z == I*S.Infinity: + return exp(I*pi*(nu + 1)/2) * S.Infinity + if z == I*S.NegativeInfinity: + return exp(-I*pi*(nu + 1)/2) * S.Infinity + + if nu.is_integer: + if nu.could_extract_minus_sign(): + return S.NegativeOne**(-nu)*bessely(-nu, z) + + def _eval_rewrite_as_besselj(self, nu, z, **kwargs): + if nu.is_integer is False: + return csc(pi*nu)*(cos(pi*nu)*besselj(nu, z) - besselj(-nu, z)) + + def _eval_rewrite_as_besseli(self, nu, z, **kwargs): + aj = self._eval_rewrite_as_besselj(*self.args) + if aj: + return aj.rewrite(besseli) + + def _eval_rewrite_as_yn(self, nu, z, **kwargs): + return sqrt(2*z/pi) * yn(nu - S.Half, self.argument) + + def _eval_as_leading_term(self, x, logx, cdir): + nu, z = self.args + try: + arg = z.as_leading_term(x) + except NotImplementedError: + return self + c, e = arg.as_coeff_exponent(x) + + if e.is_positive: + term_one = ((2/pi)*log(z/2)*besselj(nu, z)) + term_two = -(z/2)**(-nu)*factorial(nu - 1)/pi if (nu).is_positive else S.Zero + term_three = -(z/2)**nu/(pi*factorial(nu))*(digamma(nu + 1) - S.EulerGamma) + arg = Add(*[term_one, term_two, term_three]).as_leading_term(x, logx=logx) + return arg + elif e.is_negative: + cdir = 1 if cdir == 0 else cdir + sign = c*cdir**e + if not sign.is_negative: + # Refer Abramowitz and Stegun 1965, p. 364 for more information on + # asymptotic approximation of bessely function. + return sqrt(2)*(-sin(pi*nu/2 - z + pi/4) + 3*cos(pi*nu/2 - z + pi/4)/(8*z))*sqrt(1/z)/sqrt(pi) + return self + + return super(bessely, self)._eval_as_leading_term(x, logx=logx, cdir=cdir) + + def _eval_is_extended_real(self): + nu, z = self.args + if nu.is_integer and z.is_positive: + return True + + def _eval_nseries(self, x, n, logx, cdir=0): + # Refer https://functions.wolfram.com/Bessel-TypeFunctions/BesselY/06/01/04/01/02/0008/ + # for more information on nseries expansion of bessely function. + from sympy.series.order import Order + nu, z = self.args + + # In case of powers less than 1, number of terms need to be computed + # separately to avoid repeated callings of _eval_nseries with wrong n + try: + _, exp = z.leadterm(x) + except (ValueError, NotImplementedError): + return self + + if exp.is_positive and nu.is_integer: + newn = ceiling(n/exp) + bn = besselj(nu, z) + a = ((2/pi)*log(z/2)*bn)._eval_nseries(x, n, logx, cdir) + + b, c = [], [] + o = Order(x**n, x) + r = (z/2)._eval_nseries(x, n, logx, cdir).removeO() + if r is S.Zero: + return o + t = (_mexpand(r**2) + o).removeO() + + if nu > S.Zero: + term = r**(-nu)*factorial(nu - 1)/pi + b.append(term) + for k in range(1, nu): + denom = (nu - k)*k + if denom == S.Zero: + term *= t/k + else: + term *= t/denom + term = (_mexpand(term) + o).removeO() + b.append(term) + + p = r**nu/(pi*factorial(nu)) + term = p*(digamma(nu + 1) - S.EulerGamma) + c.append(term) + for k in range(1, (newn + 1)//2): + p *= -t/(k*(k + nu)) + p = (_mexpand(p) + o).removeO() + term = p*(digamma(k + nu + 1) + digamma(k + 1)) + c.append(term) + return a - Add(*b) - Add(*c) # Order term comes from a + + return super(bessely, self)._eval_nseries(x, n, logx, cdir) + + +class besseli(BesselBase): + r""" + Modified Bessel function of the first kind. + + Explanation + =========== + + The Bessel $I$ function is a solution to the modified Bessel equation + + .. math :: + z^2 \frac{\mathrm{d}^2 w}{\mathrm{d}z^2} + + z \frac{\mathrm{d}w}{\mathrm{d}z} + (z^2 + \nu^2)^2 w = 0. + + It can be defined as + + .. math :: + I_\nu(z) = i^{-\nu} J_\nu(iz), + + where $J_\nu(z)$ is the Bessel function of the first kind. + + Examples + ======== + + >>> from sympy import besseli + >>> from sympy.abc import z, n + >>> besseli(n, z).diff(z) + besseli(n - 1, z)/2 + besseli(n + 1, z)/2 + + See Also + ======== + + besselj, bessely, besselk + + References + ========== + + .. [1] https://functions.wolfram.com/Bessel-TypeFunctions/BesselI/ + + """ + + _a = -S.One + _b = S.One + + @classmethod + def eval(cls, nu, z): + if z.is_zero: + if nu.is_zero: + return S.One + elif (nu.is_integer and nu.is_zero is False) or re(nu).is_positive: + return S.Zero + elif re(nu).is_negative and not (nu.is_integer is True): + return S.ComplexInfinity + elif nu.is_imaginary: + return S.NaN + if im(z) in (S.Infinity, S.NegativeInfinity): + return S.Zero + if z is S.Infinity: + return S.Infinity + if z is S.NegativeInfinity: + return (-1)**nu*S.Infinity + + if z.could_extract_minus_sign(): + return (z)**nu*(-z)**(-nu)*besseli(nu, -z) + if nu.is_integer: + if nu.could_extract_minus_sign(): + return besseli(-nu, z) + newz = z.extract_multiplicatively(I) + if newz: # NOTE we don't want to change the function if z==0 + return I**(-nu)*besselj(nu, -newz) + + # branch handling: + if nu.is_integer: + newz = unpolarify(z) + if newz != z: + return besseli(nu, newz) + else: + newz, n = z.extract_branch_factor() + if n != 0: + return exp(2*n*pi*nu*I)*besseli(nu, newz) + nnu = unpolarify(nu) + if nu != nnu: + return besseli(nnu, z) + + def _eval_rewrite_as_tractable(self, nu, z, limitvar=None, **kwargs): + if z.is_extended_real: + return exp(z)*_besseli(nu, z) + + def _eval_rewrite_as_besselj(self, nu, z, **kwargs): + return exp(-I*pi*nu/2)*besselj(nu, polar_lift(I)*z) + + def _eval_rewrite_as_bessely(self, nu, z, **kwargs): + aj = self._eval_rewrite_as_besselj(*self.args) + if aj: + return aj.rewrite(bessely) + + def _eval_rewrite_as_jn(self, nu, z, **kwargs): + return self._eval_rewrite_as_besselj(*self.args).rewrite(jn) + + def _eval_is_extended_real(self): + nu, z = self.args + if nu.is_integer and z.is_extended_real: + return True + + def _eval_as_leading_term(self, x, logx, cdir): + nu, z = self.args + try: + arg = z.as_leading_term(x) + except NotImplementedError: + return self + c, e = arg.as_coeff_exponent(x) + + if e.is_positive: + return arg**nu/(2**nu*gamma(nu + 1)) + elif e.is_negative: + cdir = 1 if cdir == 0 else cdir + sign = c*cdir**e + if not sign.is_negative: + # Refer Abramowitz and Stegun 1965, p. 377 for more information on + # asymptotic approximation of besseli function. + return exp(z)/sqrt(2*pi*z) + return self + + return super(besseli, self)._eval_as_leading_term(x, logx=logx, cdir=cdir) + + def _eval_nseries(self, x, n, logx, cdir=0): + # Refer https://functions.wolfram.com/Bessel-TypeFunctions/BesselI/06/01/04/01/01/0003/ + # for more information on nseries expansion of besseli function. + from sympy.series.order import Order + nu, z = self.args + + # In case of powers less than 1, number of terms need to be computed + # separately to avoid repeated callings of _eval_nseries with wrong n + try: + _, exp = z.leadterm(x) + except (ValueError, NotImplementedError): + return self + + if exp.is_positive: + newn = ceiling(n/exp) + o = Order(x**n, x) + r = (z/2)._eval_nseries(x, n, logx, cdir).removeO() + if r is S.Zero: + return o + t = (_mexpand(r**2) + o).removeO() + + term = r**nu/gamma(nu + 1) + s = [term] + for k in range(1, (newn + 1)//2): + term *= t/(k*(nu + k)) + term = (_mexpand(term) + o).removeO() + s.append(term) + return Add(*s) + o + + return super(besseli, self)._eval_nseries(x, n, logx, cdir) + + def _eval_aseries(self, n, args0, x, logx): + from sympy.functions.combinatorial.factorials import RisingFactorial + from sympy.series.order import Order + point = args0[1] + + if point in [S.Infinity, S.NegativeInfinity]: + nu, z = self.args + s = [(RisingFactorial(Rational(2*nu - 1, 2), k)*RisingFactorial(Rational(2*nu + 1, 2), k))/\ + ((2)**(k)*z**(Rational(2*k + 1, 2))*factorial(k)) for k in range(n)] + [Order(1/z**(Rational(2*n + 1, 2)), x)] + return exp(z)/sqrt(2*pi) * (Add(*s)) + + return super()._eval_aseries(n, args0, x, logx) + + +class besselk(BesselBase): + r""" + Modified Bessel function of the second kind. + + Explanation + =========== + + The Bessel $K$ function of order $\nu$ is defined as + + .. math :: + K_\nu(z) = \lim_{\mu \to \nu} \frac{\pi}{2} + \frac{I_{-\mu}(z) -I_\mu(z)}{\sin(\pi \mu)}, + + where $I_\mu(z)$ is the modified Bessel function of the first kind. + + It is a solution of the modified Bessel equation, and linearly independent + from $Y_\nu$. + + Examples + ======== + + >>> from sympy import besselk + >>> from sympy.abc import z, n + >>> besselk(n, z).diff(z) + -besselk(n - 1, z)/2 - besselk(n + 1, z)/2 + + See Also + ======== + + besselj, besseli, bessely + + References + ========== + + .. [1] https://functions.wolfram.com/Bessel-TypeFunctions/BesselK/ + + """ + + _a = S.One + _b = -S.One + + @classmethod + def eval(cls, nu, z): + if z.is_zero: + if nu.is_zero: + return S.Infinity + elif re(nu).is_zero is False: + return S.ComplexInfinity + elif re(nu).is_zero: + return S.NaN + if z in (S.Infinity, I*S.Infinity, I*S.NegativeInfinity): + return S.Zero + + if nu.is_integer: + if nu.could_extract_minus_sign(): + return besselk(-nu, z) + + def _eval_rewrite_as_besseli(self, nu, z, **kwargs): + if nu.is_integer is False: + return pi*csc(pi*nu)*(besseli(-nu, z) - besseli(nu, z))/2 + + def _eval_rewrite_as_besselj(self, nu, z, **kwargs): + ai = self._eval_rewrite_as_besseli(*self.args) + if ai: + return ai.rewrite(besselj) + + def _eval_rewrite_as_bessely(self, nu, z, **kwargs): + aj = self._eval_rewrite_as_besselj(*self.args) + if aj: + return aj.rewrite(bessely) + + def _eval_rewrite_as_yn(self, nu, z, **kwargs): + ay = self._eval_rewrite_as_bessely(*self.args) + if ay: + return ay.rewrite(yn) + + def _eval_is_extended_real(self): + nu, z = self.args + if nu.is_integer and z.is_positive: + return True + + def _eval_rewrite_as_tractable(self, nu, z, limitvar=None, **kwargs): + if z.is_extended_real: + return exp(-z)*_besselk(nu, z) + + def _eval_as_leading_term(self, x, logx, cdir): + nu, z = self.args + try: + arg = z.as_leading_term(x) + except NotImplementedError: + return self + _, e = arg.as_coeff_exponent(x) + + if e.is_positive: + if nu.is_zero: + # Equation 9.6.8 of Abramowitz and Stegun (10th ed, 1972). + term = -log(z) - S.EulerGamma + log(2) + elif nu.is_nonzero: + # Equation 9.6.9 of Abramowitz and Stegun (10th ed, 1972). + term = gamma(Abs(nu))*(z/2)**(-Abs(nu))/2 + else: + raise NotImplementedError(f"Cannot proceed without knowing if {nu} is zero or not.") + + return term.as_leading_term(x, logx=logx) + elif e.is_negative: + # Equation 9.7.2 of Abramowitz and Stegun (10th ed, 1972). + return sqrt(pi)*exp(-arg)/sqrt(2*arg) + else: + return self.func(nu, arg) + + def _eval_nseries(self, x, n, logx, cdir=0): + from sympy.series.order import Order + nu, z = self.args + + try: + _, exp = z.leadterm(x) + except (ValueError, NotImplementedError): + return self + + # In case of powers less than 1, number of terms need to be computed + # separately to avoid repeated callings of _eval_nseries with wrong n + if exp.is_positive: + r = (z/2)._eval_nseries(x, n, logx, cdir).removeO() + if r is S.Zero: + return Order(z**(-nu) + z**nu, x) + + o = Order(x**n, x) + if nu.is_integer: + # Reference: https://functions.wolfram.com/Bessel-TypeFunctions/BesselK/06/01/04/01/02/0008/ (only for integer order) + newn = ceiling(n/exp) + bn = besseli(nu, z) + a = ((-1)**(nu - 1)*log(z/2)*bn)._eval_nseries(x, n, logx, cdir) + + b, c = [], [] + t = _mexpand(r**2) + + if nu > S.Zero: + term = r**(-nu)*factorial(nu - 1)/2 + b.append(term) + for k in range(1, nu): + term *= t/((k - nu)*k) + term = (_mexpand(term) + o).removeO() + b.append(term) + + p = r**nu*(-1)**nu/(2*factorial(nu)) + term = p*(digamma(nu + 1) - S.EulerGamma) + c.append(term) + for k in range(1, (newn + 1)//2): + p *= t/(k*(k + nu)) + p = (_mexpand(p) + o).removeO() + term = p*(digamma(k + nu + 1) + digamma(k + 1)) + c.append(term) + return a + Add(*b) + Add(*c) + o + elif nu.is_noninteger: + # Reference: https://functions.wolfram.com/Bessel-TypeFunctions/BesselK/06/01/04/01/01/0003/ + # (only for non-integer order). + # While the expression in the reference above seems correct + # for non-real order as well, it would need some manipulation + # (not implemented) to be written as a power series in x with + # real exponents [e.g. Dunster 1990. "Bessel functions + # of purely imaginary order, with an application to second-order + # linear differential equations having a large parameter". + # SIAM J. Math. Anal. Vol 21, No. 4, pp 995-1018.]. + newn_a = ceiling((n+nu)/exp) + newn_b = ceiling((n-nu)/exp) + + a, b = [], [] + for k in range((newn_a+1)//2): + term = gamma(nu)*r**(2*k-nu)/(2*RisingFactorial(1-nu, k)*factorial(k)) + a.append(_mexpand(term)) + for k in range((newn_b+1)//2): + term = gamma(-nu)*r**(2*k+nu)/(2*RisingFactorial(nu+1, k)*factorial(k)) + b.append(_mexpand(term)) + return Add(*a) + Add(*b) + o + else: + raise NotImplementedError("besselk expansion is only implemented for real order") + + return super(besselk, self)._eval_nseries(x, n, logx, cdir) + + def _eval_aseries(self, n, args0, x, logx): + from sympy.functions.combinatorial.factorials import RisingFactorial + from sympy.series.order import Order + point = args0[1] + + if point in [S.Infinity, S.NegativeInfinity]: + nu, z = self.args + s = [(RisingFactorial(Rational(2*nu - 1, 2), k)*RisingFactorial(Rational(2*nu + 1, 2), k))/\ + ((-2)**(k)*z**(Rational(2*k + 1, 2))*factorial(k)) for k in range(n)] +[Order(1/z**(Rational(2*n + 1, 2)), x)] + return (exp(-z)*sqrt(pi/2))*Add(*s) + + return super()._eval_aseries(n, args0, x, logx) + + +class hankel1(BesselBase): + r""" + Hankel function of the first kind. + + Explanation + =========== + + This function is defined as + + .. math :: + H_\nu^{(1)} = J_\nu(z) + iY_\nu(z), + + where $J_\nu(z)$ is the Bessel function of the first kind, and + $Y_\nu(z)$ is the Bessel function of the second kind. + + It is a solution to Bessel's equation. + + Examples + ======== + + >>> from sympy import hankel1 + >>> from sympy.abc import z, n + >>> hankel1(n, z).diff(z) + hankel1(n - 1, z)/2 - hankel1(n + 1, z)/2 + + See Also + ======== + + hankel2, besselj, bessely + + References + ========== + + .. [1] https://functions.wolfram.com/Bessel-TypeFunctions/HankelH1/ + + """ + + _a = S.One + _b = S.One + + def _eval_conjugate(self): + z = self.argument + if z.is_extended_negative is False: + return hankel2(self.order.conjugate(), z.conjugate()) + + +class hankel2(BesselBase): + r""" + Hankel function of the second kind. + + Explanation + =========== + + This function is defined as + + .. math :: + H_\nu^{(2)} = J_\nu(z) - iY_\nu(z), + + where $J_\nu(z)$ is the Bessel function of the first kind, and + $Y_\nu(z)$ is the Bessel function of the second kind. + + It is a solution to Bessel's equation, and linearly independent from + $H_\nu^{(1)}$. + + Examples + ======== + + >>> from sympy import hankel2 + >>> from sympy.abc import z, n + >>> hankel2(n, z).diff(z) + hankel2(n - 1, z)/2 - hankel2(n + 1, z)/2 + + See Also + ======== + + hankel1, besselj, bessely + + References + ========== + + .. [1] https://functions.wolfram.com/Bessel-TypeFunctions/HankelH2/ + + """ + + _a = S.One + _b = S.One + + def _eval_conjugate(self): + z = self.argument + if z.is_extended_negative is False: + return hankel1(self.order.conjugate(), z.conjugate()) + + +def assume_integer_order(fn): + @wraps(fn) + def g(self, nu, z): + if nu.is_integer: + return fn(self, nu, z) + return g + + +class SphericalBesselBase(BesselBase): + """ + Base class for spherical Bessel functions. + + These are thin wrappers around ordinary Bessel functions, + since spherical Bessel functions differ from the ordinary + ones just by a slight change in order. + + To use this class, define the ``_eval_evalf()`` and ``_expand()`` methods. + + """ + + def _expand(self, **hints): + """ Expand self into a polynomial. Nu is guaranteed to be Integer. """ + raise NotImplementedError('expansion') + + def _eval_expand_func(self, **hints): + if self.order.is_Integer: + return self._expand(**hints) + return self + + def fdiff(self, argindex=2): + if argindex != 2: + raise ArgumentIndexError(self, argindex) + return self.__class__(self.order - 1, self.argument) - \ + self * (self.order + 1)/self.argument + + +def _jn(n, z): + return (spherical_bessel_fn(n, z)*sin(z) + + S.NegativeOne**(n + 1)*spherical_bessel_fn(-n - 1, z)*cos(z)) + + +def _yn(n, z): + # (-1)**(n + 1) * _jn(-n - 1, z) + return (S.NegativeOne**(n + 1) * spherical_bessel_fn(-n - 1, z)*sin(z) - + spherical_bessel_fn(n, z)*cos(z)) + + +class jn(SphericalBesselBase): + r""" + Spherical Bessel function of the first kind. + + Explanation + =========== + + This function is a solution to the spherical Bessel equation + + .. math :: + z^2 \frac{\mathrm{d}^2 w}{\mathrm{d}z^2} + + 2z \frac{\mathrm{d}w}{\mathrm{d}z} + (z^2 - \nu(\nu + 1)) w = 0. + + It can be defined as + + .. math :: + j_\nu(z) = \sqrt{\frac{\pi}{2z}} J_{\nu + \frac{1}{2}}(z), + + where $J_\nu(z)$ is the Bessel function of the first kind. + + The spherical Bessel functions of integral order are + calculated using the formula: + + .. math:: j_n(z) = f_n(z) \sin{z} + (-1)^{n+1} f_{-n-1}(z) \cos{z}, + + where the coefficients $f_n(z)$ are available as + :func:`sympy.polys.orthopolys.spherical_bessel_fn`. + + Examples + ======== + + >>> from sympy import Symbol, jn, sin, cos, expand_func, besselj, bessely + >>> z = Symbol("z") + >>> nu = Symbol("nu", integer=True) + >>> print(expand_func(jn(0, z))) + sin(z)/z + >>> expand_func(jn(1, z)) == sin(z)/z**2 - cos(z)/z + True + >>> expand_func(jn(3, z)) + (-6/z**2 + 15/z**4)*sin(z) + (1/z - 15/z**3)*cos(z) + >>> jn(nu, z).rewrite(besselj) + sqrt(2)*sqrt(pi)*sqrt(1/z)*besselj(nu + 1/2, z)/2 + >>> jn(nu, z).rewrite(bessely) + (-1)**nu*sqrt(2)*sqrt(pi)*sqrt(1/z)*bessely(-nu - 1/2, z)/2 + >>> jn(2, 5.2+0.3j).evalf(20) + 0.099419756723640344491 - 0.054525080242173562897*I + + See Also + ======== + + besselj, bessely, besselk, yn + + References + ========== + + .. [1] https://dlmf.nist.gov/10.47 + + """ + @classmethod + def eval(cls, nu, z): + if z.is_zero: + if nu.is_zero: + return S.One + elif nu.is_integer: + if nu.is_positive: + return S.Zero + else: + return S.ComplexInfinity + if z in (S.NegativeInfinity, S.Infinity): + return S.Zero + + def _eval_rewrite_as_besselj(self, nu, z, **kwargs): + return sqrt(pi/(2*z)) * besselj(nu + S.Half, z) + + def _eval_rewrite_as_bessely(self, nu, z, **kwargs): + return S.NegativeOne**nu * sqrt(pi/(2*z)) * bessely(-nu - S.Half, z) + + def _eval_rewrite_as_yn(self, nu, z, **kwargs): + return S.NegativeOne**(nu) * yn(-nu - 1, z) + + def _expand(self, **hints): + return _jn(self.order, self.argument) + + def _eval_evalf(self, prec): + if self.order.is_Integer: + return self.rewrite(besselj)._eval_evalf(prec) + + +class yn(SphericalBesselBase): + r""" + Spherical Bessel function of the second kind. + + Explanation + =========== + + This function is another solution to the spherical Bessel equation, and + linearly independent from $j_n$. It can be defined as + + .. math :: + y_\nu(z) = \sqrt{\frac{\pi}{2z}} Y_{\nu + \frac{1}{2}}(z), + + where $Y_\nu(z)$ is the Bessel function of the second kind. + + For integral orders $n$, $y_n$ is calculated using the formula: + + .. math:: y_n(z) = (-1)^{n+1} j_{-n-1}(z) + + Examples + ======== + + >>> from sympy import Symbol, yn, sin, cos, expand_func, besselj, bessely + >>> z = Symbol("z") + >>> nu = Symbol("nu", integer=True) + >>> print(expand_func(yn(0, z))) + -cos(z)/z + >>> expand_func(yn(1, z)) == -cos(z)/z**2-sin(z)/z + True + >>> yn(nu, z).rewrite(besselj) + (-1)**(nu + 1)*sqrt(2)*sqrt(pi)*sqrt(1/z)*besselj(-nu - 1/2, z)/2 + >>> yn(nu, z).rewrite(bessely) + sqrt(2)*sqrt(pi)*sqrt(1/z)*bessely(nu + 1/2, z)/2 + >>> yn(2, 5.2+0.3j).evalf(20) + 0.18525034196069722536 + 0.014895573969924817587*I + + See Also + ======== + + besselj, bessely, besselk, jn + + References + ========== + + .. [1] https://dlmf.nist.gov/10.47 + + """ + @assume_integer_order + def _eval_rewrite_as_besselj(self, nu, z, **kwargs): + return S.NegativeOne**(nu+1) * sqrt(pi/(2*z)) * besselj(-nu - S.Half, z) + + @assume_integer_order + def _eval_rewrite_as_bessely(self, nu, z, **kwargs): + return sqrt(pi/(2*z)) * bessely(nu + S.Half, z) + + def _eval_rewrite_as_jn(self, nu, z, **kwargs): + return S.NegativeOne**(nu + 1) * jn(-nu - 1, z) + + def _expand(self, **hints): + return _yn(self.order, self.argument) + + def _eval_evalf(self, prec): + if self.order.is_Integer: + return self.rewrite(bessely)._eval_evalf(prec) + + +class SphericalHankelBase(SphericalBesselBase): + + @assume_integer_order + def _eval_rewrite_as_besselj(self, nu, z, **kwargs): + # jn +- I*yn + # jn as beeselj: sqrt(pi/(2*z)) * besselj(nu + S.Half, z) + # yn as besselj: (-1)**(nu+1) * sqrt(pi/(2*z)) * besselj(-nu - S.Half, z) + hks = self._hankel_kind_sign + return sqrt(pi/(2*z))*(besselj(nu + S.Half, z) + + hks*I*S.NegativeOne**(nu+1)*besselj(-nu - S.Half, z)) + + @assume_integer_order + def _eval_rewrite_as_bessely(self, nu, z, **kwargs): + # jn +- I*yn + # jn as bessely: (-1)**nu * sqrt(pi/(2*z)) * bessely(-nu - S.Half, z) + # yn as bessely: sqrt(pi/(2*z)) * bessely(nu + S.Half, z) + hks = self._hankel_kind_sign + return sqrt(pi/(2*z))*(S.NegativeOne**nu*bessely(-nu - S.Half, z) + + hks*I*bessely(nu + S.Half, z)) + + def _eval_rewrite_as_yn(self, nu, z, **kwargs): + hks = self._hankel_kind_sign + return jn(nu, z).rewrite(yn) + hks*I*yn(nu, z) + + def _eval_rewrite_as_jn(self, nu, z, **kwargs): + hks = self._hankel_kind_sign + return jn(nu, z) + hks*I*yn(nu, z).rewrite(jn) + + def _eval_expand_func(self, **hints): + if self.order.is_Integer: + return self._expand(**hints) + else: + nu = self.order + z = self.argument + hks = self._hankel_kind_sign + return jn(nu, z) + hks*I*yn(nu, z) + + def _expand(self, **hints): + n = self.order + z = self.argument + hks = self._hankel_kind_sign + + # fully expanded version + # return ((fn(n, z) * sin(z) + + # (-1)**(n + 1) * fn(-n - 1, z) * cos(z)) + # jn + # (hks * I * (-1)**(n + 1) * + # (fn(-n - 1, z) * hk * I * sin(z) + + # (-1)**(-n) * fn(n, z) * I * cos(z))) # +-I*yn + # ) + + return (_jn(n, z) + hks*I*_yn(n, z)).expand() + + def _eval_evalf(self, prec): + if self.order.is_Integer: + return self.rewrite(besselj)._eval_evalf(prec) + + +class hn1(SphericalHankelBase): + r""" + Spherical Hankel function of the first kind. + + Explanation + =========== + + This function is defined as + + .. math:: h_\nu^(1)(z) = j_\nu(z) + i y_\nu(z), + + where $j_\nu(z)$ and $y_\nu(z)$ are the spherical + Bessel function of the first and second kinds. + + For integral orders $n$, $h_n^(1)$ is calculated using the formula: + + .. math:: h_n^(1)(z) = j_{n}(z) + i (-1)^{n+1} j_{-n-1}(z) + + Examples + ======== + + >>> from sympy import Symbol, hn1, hankel1, expand_func, yn, jn + >>> z = Symbol("z") + >>> nu = Symbol("nu", integer=True) + >>> print(expand_func(hn1(nu, z))) + jn(nu, z) + I*yn(nu, z) + >>> print(expand_func(hn1(0, z))) + sin(z)/z - I*cos(z)/z + >>> print(expand_func(hn1(1, z))) + -I*sin(z)/z - cos(z)/z + sin(z)/z**2 - I*cos(z)/z**2 + >>> hn1(nu, z).rewrite(jn) + (-1)**(nu + 1)*I*jn(-nu - 1, z) + jn(nu, z) + >>> hn1(nu, z).rewrite(yn) + (-1)**nu*yn(-nu - 1, z) + I*yn(nu, z) + >>> hn1(nu, z).rewrite(hankel1) + sqrt(2)*sqrt(pi)*sqrt(1/z)*hankel1(nu, z)/2 + + See Also + ======== + + hn2, jn, yn, hankel1, hankel2 + + References + ========== + + .. [1] https://dlmf.nist.gov/10.47 + + """ + + _hankel_kind_sign = S.One + + @assume_integer_order + def _eval_rewrite_as_hankel1(self, nu, z, **kwargs): + return sqrt(pi/(2*z))*hankel1(nu, z) + + +class hn2(SphericalHankelBase): + r""" + Spherical Hankel function of the second kind. + + Explanation + =========== + + This function is defined as + + .. math:: h_\nu^(2)(z) = j_\nu(z) - i y_\nu(z), + + where $j_\nu(z)$ and $y_\nu(z)$ are the spherical + Bessel function of the first and second kinds. + + For integral orders $n$, $h_n^(2)$ is calculated using the formula: + + .. math:: h_n^(2)(z) = j_{n} - i (-1)^{n+1} j_{-n-1}(z) + + Examples + ======== + + >>> from sympy import Symbol, hn2, hankel2, expand_func, jn, yn + >>> z = Symbol("z") + >>> nu = Symbol("nu", integer=True) + >>> print(expand_func(hn2(nu, z))) + jn(nu, z) - I*yn(nu, z) + >>> print(expand_func(hn2(0, z))) + sin(z)/z + I*cos(z)/z + >>> print(expand_func(hn2(1, z))) + I*sin(z)/z - cos(z)/z + sin(z)/z**2 + I*cos(z)/z**2 + >>> hn2(nu, z).rewrite(hankel2) + sqrt(2)*sqrt(pi)*sqrt(1/z)*hankel2(nu, z)/2 + >>> hn2(nu, z).rewrite(jn) + -(-1)**(nu + 1)*I*jn(-nu - 1, z) + jn(nu, z) + >>> hn2(nu, z).rewrite(yn) + (-1)**nu*yn(-nu - 1, z) - I*yn(nu, z) + + See Also + ======== + + hn1, jn, yn, hankel1, hankel2 + + References + ========== + + .. [1] https://dlmf.nist.gov/10.47 + + """ + + _hankel_kind_sign = -S.One + + @assume_integer_order + def _eval_rewrite_as_hankel2(self, nu, z, **kwargs): + return sqrt(pi/(2*z))*hankel2(nu, z) + + +def jn_zeros(n, k, method="sympy", dps=15): + """ + Zeros of the spherical Bessel function of the first kind. + + Explanation + =========== + + This returns an array of zeros of $jn$ up to the $k$-th zero. + + * method = "sympy": uses `mpmath.besseljzero + `_ + * method = "scipy": uses the + `SciPy's sph_jn `_ + and + `newton `_ + to find all + roots, which is faster than computing the zeros using a general + numerical solver, but it requires SciPy and only works with low + precision floating point numbers. (The function used with + method="sympy" is a recent addition to mpmath; before that a general + solver was used.) + + Examples + ======== + + >>> from sympy import jn_zeros + >>> jn_zeros(2, 4, dps=5) + [5.7635, 9.095, 12.323, 15.515] + + See Also + ======== + + jn, yn, besselj, besselk, bessely + + Parameters + ========== + + n : integer + order of Bessel function + + k : integer + number of zeros to return + + + """ + from math import pi as math_pi + + if method == "sympy": + from mpmath import besseljzero + from mpmath.libmp.libmpf import dps_to_prec + prec = dps_to_prec(dps) + return [Expr._from_mpmath(besseljzero(S(n + 0.5)._to_mpmath(prec), + int(l)), prec) + for l in range(1, k + 1)] + elif method == "scipy": + from scipy.optimize import newton + try: + from scipy.special import spherical_jn + f = lambda x: spherical_jn(n, x) + except ImportError: + from scipy.special import sph_jn + f = lambda x: sph_jn(n, x)[0][-1] + else: + raise NotImplementedError("Unknown method.") + + def solver(f, x): + if method == "scipy": + root = newton(f, x) + else: + raise NotImplementedError("Unknown method.") + return root + + # we need to approximate the position of the first root: + root = n + math_pi + # determine the first root exactly: + root = solver(f, root) + roots = [root] + for i in range(k - 1): + # estimate the position of the next root using the last root + pi: + root = solver(f, root + math_pi) + roots.append(root) + return roots + + +class AiryBase(DefinedFunction): + """ + Abstract base class for Airy functions. + + This class is meant to reduce code duplication. + + """ + + def _eval_conjugate(self): + return self.func(self.args[0].conjugate()) + + def _eval_is_extended_real(self): + return self.args[0].is_extended_real + + def as_real_imag(self, deep=True, **hints): + z = self.args[0] + zc = z.conjugate() + f = self.func + u = (f(z)+f(zc))/2 + v = I*(f(zc)-f(z))/2 + return u, v + + def _eval_expand_complex(self, deep=True, **hints): + re_part, im_part = self.as_real_imag(deep=deep, **hints) + return re_part + im_part*I + + +class airyai(AiryBase): + r""" + The Airy function $\operatorname{Ai}$ of the first kind. + + Explanation + =========== + + The Airy function $\operatorname{Ai}(z)$ is defined to be the function + satisfying Airy's differential equation + + .. math:: + \frac{\mathrm{d}^2 w(z)}{\mathrm{d}z^2} - z w(z) = 0. + + Equivalently, for real $z$ + + .. math:: + \operatorname{Ai}(z) := \frac{1}{\pi} + \int_0^\infty \cos\left(\frac{t^3}{3} + z t\right) \mathrm{d}t. + + Examples + ======== + + Create an Airy function object: + + >>> from sympy import airyai + >>> from sympy.abc import z + + >>> airyai(z) + airyai(z) + + Several special values are known: + + >>> airyai(0) + 3**(1/3)/(3*gamma(2/3)) + >>> from sympy import oo + >>> airyai(oo) + 0 + >>> airyai(-oo) + 0 + + The Airy function obeys the mirror symmetry: + + >>> from sympy import conjugate + >>> conjugate(airyai(z)) + airyai(conjugate(z)) + + Differentiation with respect to $z$ is supported: + + >>> from sympy import diff + >>> diff(airyai(z), z) + airyaiprime(z) + >>> diff(airyai(z), z, 2) + z*airyai(z) + + Series expansion is also supported: + + >>> from sympy import series + >>> series(airyai(z), z, 0, 3) + 3**(5/6)*gamma(1/3)/(6*pi) - 3**(1/6)*z*gamma(2/3)/(2*pi) + O(z**3) + + We can numerically evaluate the Airy function to arbitrary precision + on the whole complex plane: + + >>> airyai(-2).evalf(50) + 0.22740742820168557599192443603787379946077222541710 + + Rewrite $\operatorname{Ai}(z)$ in terms of hypergeometric functions: + + >>> from sympy import hyper + >>> airyai(z).rewrite(hyper) + -3**(2/3)*z*hyper((), (4/3,), z**3/9)/(3*gamma(1/3)) + 3**(1/3)*hyper((), (2/3,), z**3/9)/(3*gamma(2/3)) + + See Also + ======== + + airybi: Airy function of the second kind. + airyaiprime: Derivative of the Airy function of the first kind. + airybiprime: Derivative of the Airy function of the second kind. + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Airy_function + .. [2] https://dlmf.nist.gov/9 + .. [3] https://encyclopediaofmath.org/wiki/Airy_functions + .. [4] https://mathworld.wolfram.com/AiryFunctions.html + + """ + + nargs = 1 + unbranched = True + + @classmethod + def eval(cls, arg): + if arg.is_Number: + if arg is S.NaN: + return S.NaN + elif arg is S.Infinity: + return S.Zero + elif arg is S.NegativeInfinity: + return S.Zero + elif arg.is_zero: + return S.One / (3**Rational(2, 3) * gamma(Rational(2, 3))) + if arg.is_zero: + return S.One / (3**Rational(2, 3) * gamma(Rational(2, 3))) + + def fdiff(self, argindex=1): + if argindex == 1: + return airyaiprime(self.args[0]) + else: + raise ArgumentIndexError(self, argindex) + + @staticmethod + @cacheit + def taylor_term(n, x, *previous_terms): + if n < 0: + return S.Zero + else: + x = sympify(x) + if len(previous_terms) > 1: + p = previous_terms[-1] + return ((cbrt(3)*x)**(-n)*(cbrt(3)*x)**(n + 1)*sin(pi*(n*Rational(2, 3) + Rational(4, 3)))*factorial(n) * + gamma(n/3 + Rational(2, 3))/(sin(pi*(n*Rational(2, 3) + Rational(2, 3)))*factorial(n + 1)*gamma(n/3 + Rational(1, 3))) * p) + else: + return (S.One/(3**Rational(2, 3)*pi) * gamma((n+S.One)/S(3)) * sin(Rational(2, 3)*pi*(n+S.One)) / + factorial(n) * (cbrt(3)*x)**n) + + def _eval_rewrite_as_besselj(self, z, **kwargs): + ot = Rational(1, 3) + tt = Rational(2, 3) + a = Pow(-z, Rational(3, 2)) + if re(z).is_negative: + return ot*sqrt(-z) * (besselj(-ot, tt*a) + besselj(ot, tt*a)) + + def _eval_rewrite_as_besseli(self, z, **kwargs): + ot = Rational(1, 3) + tt = Rational(2, 3) + a = Pow(z, Rational(3, 2)) + if re(z).is_positive: + return ot*sqrt(z) * (besseli(-ot, tt*a) - besseli(ot, tt*a)) + else: + return ot*(Pow(a, ot)*besseli(-ot, tt*a) - z*Pow(a, -ot)*besseli(ot, tt*a)) + + def _eval_rewrite_as_hyper(self, z, **kwargs): + pf1 = S.One / (3**Rational(2, 3)*gamma(Rational(2, 3))) + pf2 = z / (root(3, 3)*gamma(Rational(1, 3))) + return pf1 * hyper([], [Rational(2, 3)], z**3/9) - pf2 * hyper([], [Rational(4, 3)], z**3/9) + + def _eval_expand_func(self, **hints): + arg = self.args[0] + symbs = arg.free_symbols + + if len(symbs) == 1: + z = symbs.pop() + c = Wild("c", exclude=[z]) + d = Wild("d", exclude=[z]) + m = Wild("m", exclude=[z]) + n = Wild("n", exclude=[z]) + M = arg.match(c*(d*z**n)**m) + if M is not None: + m = M[m] + # The transformation is given by 03.05.16.0001.01 + # https://functions.wolfram.com/Bessel-TypeFunctions/AiryAi/16/01/01/0001/ + if (3*m).is_integer: + c = M[c] + d = M[d] + n = M[n] + pf = (d * z**n)**m / (d**m * z**(m*n)) + newarg = c * d**m * z**(m*n) + return S.Half * ((pf + S.One)*airyai(newarg) - (pf - S.One)/sqrt(3)*airybi(newarg)) + + +class airybi(AiryBase): + r""" + The Airy function $\operatorname{Bi}$ of the second kind. + + Explanation + =========== + + The Airy function $\operatorname{Bi}(z)$ is defined to be the function + satisfying Airy's differential equation + + .. math:: + \frac{\mathrm{d}^2 w(z)}{\mathrm{d}z^2} - z w(z) = 0. + + Equivalently, for real $z$ + + .. math:: + \operatorname{Bi}(z) := \frac{1}{\pi} + \int_0^\infty + \exp\left(-\frac{t^3}{3} + z t\right) + + \sin\left(\frac{t^3}{3} + z t\right) \mathrm{d}t. + + Examples + ======== + + Create an Airy function object: + + >>> from sympy import airybi + >>> from sympy.abc import z + + >>> airybi(z) + airybi(z) + + Several special values are known: + + >>> airybi(0) + 3**(5/6)/(3*gamma(2/3)) + >>> from sympy import oo + >>> airybi(oo) + oo + >>> airybi(-oo) + 0 + + The Airy function obeys the mirror symmetry: + + >>> from sympy import conjugate + >>> conjugate(airybi(z)) + airybi(conjugate(z)) + + Differentiation with respect to $z$ is supported: + + >>> from sympy import diff + >>> diff(airybi(z), z) + airybiprime(z) + >>> diff(airybi(z), z, 2) + z*airybi(z) + + Series expansion is also supported: + + >>> from sympy import series + >>> series(airybi(z), z, 0, 3) + 3**(1/3)*gamma(1/3)/(2*pi) + 3**(2/3)*z*gamma(2/3)/(2*pi) + O(z**3) + + We can numerically evaluate the Airy function to arbitrary precision + on the whole complex plane: + + >>> airybi(-2).evalf(50) + -0.41230258795639848808323405461146104203453483447240 + + Rewrite $\operatorname{Bi}(z)$ in terms of hypergeometric functions: + + >>> from sympy import hyper + >>> airybi(z).rewrite(hyper) + 3**(1/6)*z*hyper((), (4/3,), z**3/9)/gamma(1/3) + 3**(5/6)*hyper((), (2/3,), z**3/9)/(3*gamma(2/3)) + + See Also + ======== + + airyai: Airy function of the first kind. + airyaiprime: Derivative of the Airy function of the first kind. + airybiprime: Derivative of the Airy function of the second kind. + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Airy_function + .. [2] https://dlmf.nist.gov/9 + .. [3] https://encyclopediaofmath.org/wiki/Airy_functions + .. [4] https://mathworld.wolfram.com/AiryFunctions.html + + """ + + nargs = 1 + unbranched = True + + @classmethod + def eval(cls, arg): + if arg.is_Number: + if arg is S.NaN: + return S.NaN + elif arg is S.Infinity: + return S.Infinity + elif arg is S.NegativeInfinity: + return S.Zero + elif arg.is_zero: + return S.One / (3**Rational(1, 6) * gamma(Rational(2, 3))) + + if arg.is_zero: + return S.One / (3**Rational(1, 6) * gamma(Rational(2, 3))) + + def fdiff(self, argindex=1): + if argindex == 1: + return airybiprime(self.args[0]) + else: + raise ArgumentIndexError(self, argindex) + + @staticmethod + @cacheit + def taylor_term(n, x, *previous_terms): + if n < 0: + return S.Zero + else: + x = sympify(x) + if len(previous_terms) > 1: + p = previous_terms[-1] + return (cbrt(3)*x * Abs(sin(Rational(2, 3)*pi*(n + S.One))) * factorial((n - S.One)/S(3)) / + ((n + S.One) * Abs(cos(Rational(2, 3)*pi*(n + S.Half))) * factorial((n - 2)/S(3))) * p) + else: + return (S.One/(root(3, 6)*pi) * gamma((n + S.One)/S(3)) * Abs(sin(Rational(2, 3)*pi*(n + S.One))) / + factorial(n) * (cbrt(3)*x)**n) + + def _eval_rewrite_as_besselj(self, z, **kwargs): + ot = Rational(1, 3) + tt = Rational(2, 3) + a = Pow(-z, Rational(3, 2)) + if re(z).is_negative: + return sqrt(-z/3) * (besselj(-ot, tt*a) - besselj(ot, tt*a)) + + def _eval_rewrite_as_besseli(self, z, **kwargs): + ot = Rational(1, 3) + tt = Rational(2, 3) + a = Pow(z, Rational(3, 2)) + if re(z).is_positive: + return sqrt(z)/sqrt(3) * (besseli(-ot, tt*a) + besseli(ot, tt*a)) + else: + b = Pow(a, ot) + c = Pow(a, -ot) + return sqrt(ot)*(b*besseli(-ot, tt*a) + z*c*besseli(ot, tt*a)) + + def _eval_rewrite_as_hyper(self, z, **kwargs): + pf1 = S.One / (root(3, 6)*gamma(Rational(2, 3))) + pf2 = z*root(3, 6) / gamma(Rational(1, 3)) + return pf1 * hyper([], [Rational(2, 3)], z**3/9) + pf2 * hyper([], [Rational(4, 3)], z**3/9) + + def _eval_expand_func(self, **hints): + arg = self.args[0] + symbs = arg.free_symbols + + if len(symbs) == 1: + z = symbs.pop() + c = Wild("c", exclude=[z]) + d = Wild("d", exclude=[z]) + m = Wild("m", exclude=[z]) + n = Wild("n", exclude=[z]) + M = arg.match(c*(d*z**n)**m) + if M is not None: + m = M[m] + # The transformation is given by 03.06.16.0001.01 + # https://functions.wolfram.com/Bessel-TypeFunctions/AiryBi/16/01/01/0001/ + if (3*m).is_integer: + c = M[c] + d = M[d] + n = M[n] + pf = (d * z**n)**m / (d**m * z**(m*n)) + newarg = c * d**m * z**(m*n) + return S.Half * (sqrt(3)*(S.One - pf)*airyai(newarg) + (S.One + pf)*airybi(newarg)) + + +class airyaiprime(AiryBase): + r""" + The derivative $\operatorname{Ai}^\prime$ of the Airy function of the first + kind. + + Explanation + =========== + + The Airy function $\operatorname{Ai}^\prime(z)$ is defined to be the + function + + .. math:: + \operatorname{Ai}^\prime(z) := \frac{\mathrm{d} \operatorname{Ai}(z)}{\mathrm{d} z}. + + Examples + ======== + + Create an Airy function object: + + >>> from sympy import airyaiprime + >>> from sympy.abc import z + + >>> airyaiprime(z) + airyaiprime(z) + + Several special values are known: + + >>> airyaiprime(0) + -3**(2/3)/(3*gamma(1/3)) + >>> from sympy import oo + >>> airyaiprime(oo) + 0 + + The Airy function obeys the mirror symmetry: + + >>> from sympy import conjugate + >>> conjugate(airyaiprime(z)) + airyaiprime(conjugate(z)) + + Differentiation with respect to $z$ is supported: + + >>> from sympy import diff + >>> diff(airyaiprime(z), z) + z*airyai(z) + >>> diff(airyaiprime(z), z, 2) + z*airyaiprime(z) + airyai(z) + + Series expansion is also supported: + + >>> from sympy import series + >>> series(airyaiprime(z), z, 0, 3) + -3**(2/3)/(3*gamma(1/3)) + 3**(1/3)*z**2/(6*gamma(2/3)) + O(z**3) + + We can numerically evaluate the Airy function to arbitrary precision + on the whole complex plane: + + >>> airyaiprime(-2).evalf(50) + 0.61825902074169104140626429133247528291577794512415 + + Rewrite $\operatorname{Ai}^\prime(z)$ in terms of hypergeometric functions: + + >>> from sympy import hyper + >>> airyaiprime(z).rewrite(hyper) + 3**(1/3)*z**2*hyper((), (5/3,), z**3/9)/(6*gamma(2/3)) - 3**(2/3)*hyper((), (1/3,), z**3/9)/(3*gamma(1/3)) + + See Also + ======== + + airyai: Airy function of the first kind. + airybi: Airy function of the second kind. + airybiprime: Derivative of the Airy function of the second kind. + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Airy_function + .. [2] https://dlmf.nist.gov/9 + .. [3] https://encyclopediaofmath.org/wiki/Airy_functions + .. [4] https://mathworld.wolfram.com/AiryFunctions.html + + """ + + nargs = 1 + unbranched = True + + @classmethod + def eval(cls, arg): + if arg.is_Number: + if arg is S.NaN: + return S.NaN + elif arg is S.Infinity: + return S.Zero + + if arg.is_zero: + return S.NegativeOne / (3**Rational(1, 3) * gamma(Rational(1, 3))) + + def fdiff(self, argindex=1): + if argindex == 1: + return self.args[0]*airyai(self.args[0]) + else: + raise ArgumentIndexError(self, argindex) + + def _eval_evalf(self, prec): + z = self.args[0]._to_mpmath(prec) + with workprec(prec): + res = mp.airyai(z, derivative=1) + return Expr._from_mpmath(res, prec) + + def _eval_rewrite_as_besselj(self, z, **kwargs): + tt = Rational(2, 3) + a = Pow(-z, Rational(3, 2)) + if re(z).is_negative: + return z/3 * (besselj(-tt, tt*a) - besselj(tt, tt*a)) + + def _eval_rewrite_as_besseli(self, z, **kwargs): + ot = Rational(1, 3) + tt = Rational(2, 3) + a = tt * Pow(z, Rational(3, 2)) + if re(z).is_positive: + return z/3 * (besseli(tt, a) - besseli(-tt, a)) + else: + a = Pow(z, Rational(3, 2)) + b = Pow(a, tt) + c = Pow(a, -tt) + return ot * (z**2*c*besseli(tt, tt*a) - b*besseli(-ot, tt*a)) + + def _eval_rewrite_as_hyper(self, z, **kwargs): + pf1 = z**2 / (2*3**Rational(2, 3)*gamma(Rational(2, 3))) + pf2 = 1 / (root(3, 3)*gamma(Rational(1, 3))) + return pf1 * hyper([], [Rational(5, 3)], z**3/9) - pf2 * hyper([], [Rational(1, 3)], z**3/9) + + def _eval_expand_func(self, **hints): + arg = self.args[0] + symbs = arg.free_symbols + + if len(symbs) == 1: + z = symbs.pop() + c = Wild("c", exclude=[z]) + d = Wild("d", exclude=[z]) + m = Wild("m", exclude=[z]) + n = Wild("n", exclude=[z]) + M = arg.match(c*(d*z**n)**m) + if M is not None: + m = M[m] + # The transformation is in principle + # given by 03.07.16.0001.01 but note + # that there is an error in this formula. + # https://functions.wolfram.com/Bessel-TypeFunctions/AiryAiPrime/16/01/01/0001/ + if (3*m).is_integer: + c = M[c] + d = M[d] + n = M[n] + pf = (d**m * z**(n*m)) / (d * z**n)**m + newarg = c * d**m * z**(n*m) + return S.Half * ((pf + S.One)*airyaiprime(newarg) + (pf - S.One)/sqrt(3)*airybiprime(newarg)) + + +class airybiprime(AiryBase): + r""" + The derivative $\operatorname{Bi}^\prime$ of the Airy function of the first + kind. + + Explanation + =========== + + The Airy function $\operatorname{Bi}^\prime(z)$ is defined to be the + function + + .. math:: + \operatorname{Bi}^\prime(z) := \frac{\mathrm{d} \operatorname{Bi}(z)}{\mathrm{d} z}. + + Examples + ======== + + Create an Airy function object: + + >>> from sympy import airybiprime + >>> from sympy.abc import z + + >>> airybiprime(z) + airybiprime(z) + + Several special values are known: + + >>> airybiprime(0) + 3**(1/6)/gamma(1/3) + >>> from sympy import oo + >>> airybiprime(oo) + oo + >>> airybiprime(-oo) + 0 + + The Airy function obeys the mirror symmetry: + + >>> from sympy import conjugate + >>> conjugate(airybiprime(z)) + airybiprime(conjugate(z)) + + Differentiation with respect to $z$ is supported: + + >>> from sympy import diff + >>> diff(airybiprime(z), z) + z*airybi(z) + >>> diff(airybiprime(z), z, 2) + z*airybiprime(z) + airybi(z) + + Series expansion is also supported: + + >>> from sympy import series + >>> series(airybiprime(z), z, 0, 3) + 3**(1/6)/gamma(1/3) + 3**(5/6)*z**2/(6*gamma(2/3)) + O(z**3) + + We can numerically evaluate the Airy function to arbitrary precision + on the whole complex plane: + + >>> airybiprime(-2).evalf(50) + 0.27879516692116952268509756941098324140300059345163 + + Rewrite $\operatorname{Bi}^\prime(z)$ in terms of hypergeometric functions: + + >>> from sympy import hyper + >>> airybiprime(z).rewrite(hyper) + 3**(5/6)*z**2*hyper((), (5/3,), z**3/9)/(6*gamma(2/3)) + 3**(1/6)*hyper((), (1/3,), z**3/9)/gamma(1/3) + + See Also + ======== + + airyai: Airy function of the first kind. + airybi: Airy function of the second kind. + airyaiprime: Derivative of the Airy function of the first kind. + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Airy_function + .. [2] https://dlmf.nist.gov/9 + .. [3] https://encyclopediaofmath.org/wiki/Airy_functions + .. [4] https://mathworld.wolfram.com/AiryFunctions.html + + """ + + nargs = 1 + unbranched = True + + @classmethod + def eval(cls, arg): + if arg.is_Number: + if arg is S.NaN: + return S.NaN + elif arg is S.Infinity: + return S.Infinity + elif arg is S.NegativeInfinity: + return S.Zero + elif arg.is_zero: + return 3**Rational(1, 6) / gamma(Rational(1, 3)) + + if arg.is_zero: + return 3**Rational(1, 6) / gamma(Rational(1, 3)) + + + def fdiff(self, argindex=1): + if argindex == 1: + return self.args[0]*airybi(self.args[0]) + else: + raise ArgumentIndexError(self, argindex) + + def _eval_evalf(self, prec): + z = self.args[0]._to_mpmath(prec) + with workprec(prec): + res = mp.airybi(z, derivative=1) + return Expr._from_mpmath(res, prec) + + def _eval_rewrite_as_besselj(self, z, **kwargs): + tt = Rational(2, 3) + a = tt * Pow(-z, Rational(3, 2)) + if re(z).is_negative: + return -z/sqrt(3) * (besselj(-tt, a) + besselj(tt, a)) + + def _eval_rewrite_as_besseli(self, z, **kwargs): + ot = Rational(1, 3) + tt = Rational(2, 3) + a = tt * Pow(z, Rational(3, 2)) + if re(z).is_positive: + return z/sqrt(3) * (besseli(-tt, a) + besseli(tt, a)) + else: + a = Pow(z, Rational(3, 2)) + b = Pow(a, tt) + c = Pow(a, -tt) + return sqrt(ot) * (b*besseli(-tt, tt*a) + z**2*c*besseli(tt, tt*a)) + + def _eval_rewrite_as_hyper(self, z, **kwargs): + pf1 = z**2 / (2*root(3, 6)*gamma(Rational(2, 3))) + pf2 = root(3, 6) / gamma(Rational(1, 3)) + return pf1 * hyper([], [Rational(5, 3)], z**3/9) + pf2 * hyper([], [Rational(1, 3)], z**3/9) + + def _eval_expand_func(self, **hints): + arg = self.args[0] + symbs = arg.free_symbols + + if len(symbs) == 1: + z = symbs.pop() + c = Wild("c", exclude=[z]) + d = Wild("d", exclude=[z]) + m = Wild("m", exclude=[z]) + n = Wild("n", exclude=[z]) + M = arg.match(c*(d*z**n)**m) + if M is not None: + m = M[m] + # The transformation is in principle + # given by 03.08.16.0001.01 but note + # that there is an error in this formula. + # https://functions.wolfram.com/Bessel-TypeFunctions/AiryBiPrime/16/01/01/0001/ + if (3*m).is_integer: + c = M[c] + d = M[d] + n = M[n] + pf = (d**m * z**(n*m)) / (d * z**n)**m + newarg = c * d**m * z**(n*m) + return S.Half * (sqrt(3)*(pf - S.One)*airyaiprime(newarg) + (pf + S.One)*airybiprime(newarg)) + + +class marcumq(DefinedFunction): + r""" + The Marcum Q-function. + + Explanation + =========== + + The Marcum Q-function is defined by the meromorphic continuation of + + .. math:: + Q_m(a, b) = a^{- m + 1} \int_{b}^{\infty} x^{m} e^{- \frac{a^{2}}{2} - \frac{x^{2}}{2}} I_{m - 1}\left(a x\right)\, dx + + Examples + ======== + + >>> from sympy import marcumq + >>> from sympy.abc import m, a, b + >>> marcumq(m, a, b) + marcumq(m, a, b) + + Special values: + + >>> marcumq(m, 0, b) + uppergamma(m, b**2/2)/gamma(m) + >>> marcumq(0, 0, 0) + 0 + >>> marcumq(0, a, 0) + 1 - exp(-a**2/2) + >>> marcumq(1, a, a) + 1/2 + exp(-a**2)*besseli(0, a**2)/2 + >>> marcumq(2, a, a) + 1/2 + exp(-a**2)*besseli(0, a**2)/2 + exp(-a**2)*besseli(1, a**2) + + Differentiation with respect to $a$ and $b$ is supported: + + >>> from sympy import diff + >>> diff(marcumq(m, a, b), a) + a*(-marcumq(m, a, b) + marcumq(m + 1, a, b)) + >>> diff(marcumq(m, a, b), b) + -a**(1 - m)*b**m*exp(-a**2/2 - b**2/2)*besseli(m - 1, a*b) + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Marcum_Q-function + .. [2] https://mathworld.wolfram.com/MarcumQ-Function.html + + """ + + @classmethod + def eval(cls, m, a, b): + if a is S.Zero: + if m is S.Zero and b is S.Zero: + return S.Zero + return uppergamma(m, b**2 * S.Half) / gamma(m) + + if m is S.Zero and b is S.Zero: + return 1 - 1 / exp(a**2 * S.Half) + + if a == b: + if m is S.One: + return (1 + exp(-a**2) * besseli(0, a**2))*S.Half + if m == 2: + return S.Half + S.Half * exp(-a**2) * besseli(0, a**2) + exp(-a**2) * besseli(1, a**2) + + if a.is_zero: + if m.is_zero and b.is_zero: + return S.Zero + return uppergamma(m, b**2*S.Half) / gamma(m) + + if m.is_zero and b.is_zero: + return 1 - 1 / exp(a**2*S.Half) + + def fdiff(self, argindex=2): + m, a, b = self.args + if argindex == 2: + return a * (-marcumq(m, a, b) + marcumq(1+m, a, b)) + elif argindex == 3: + return (-b**m / a**(m-1)) * exp(-(a**2 + b**2)/2) * besseli(m-1, a*b) + else: + raise ArgumentIndexError(self, argindex) + + def _eval_rewrite_as_Integral(self, m, a, b, **kwargs): + from sympy.integrals.integrals import Integral + x = kwargs.get('x', Dummy(uniquely_named_symbol('x').name)) + return a ** (1 - m) * \ + Integral(x**m * exp(-(x**2 + a**2)/2) * besseli(m-1, a*x), [x, b, S.Infinity]) + + def _eval_rewrite_as_Sum(self, m, a, b, **kwargs): + from sympy.concrete.summations import Sum + k = kwargs.get('k', Dummy('k')) + return exp(-(a**2 + b**2) / 2) * Sum((a/b)**k * besseli(k, a*b), [k, 1-m, S.Infinity]) + + def _eval_rewrite_as_besseli(self, m, a, b, **kwargs): + if a == b: + if m == 1: + return (1 + exp(-a**2) * besseli(0, a**2)) / 2 + if m.is_Integer and m >= 2: + s = sum(besseli(i, a**2) for i in range(1, m)) + return S.Half + exp(-a**2) * besseli(0, a**2) / 2 + exp(-a**2) * s + + def _eval_is_zero(self): + if all(arg.is_zero for arg in self.args): + return True + +class _besseli(DefinedFunction): + """ + Helper function to make the $\\mathrm{besseli}(nu, z)$ + function tractable for the Gruntz algorithm. + + """ + + def _eval_aseries(self, n, args0, x, logx): + from sympy.functions.combinatorial.factorials import RisingFactorial + from sympy.series.order import Order + point = args0[1] + + if point in [S.Infinity, S.NegativeInfinity]: + nu, z = self.args + l = [((RisingFactorial(Rational(2*nu - 1, 2), k)*RisingFactorial( + Rational(2*nu + 1, 2), k))/((2)**(k)*z**(Rational(2*k + 1, 2))*factorial(k))) for k in range(n)] + return sqrt(pi/(2))*(Add(*l)) + Order(1/z**(Rational(2*n + 1, 2)), x) + + return super()._eval_aseries(n, args0, x, logx) + + def _eval_rewrite_as_intractable(self, nu, z, **kwargs): + return exp(-z)*besseli(nu, z) + + def _eval_nseries(self, x, n, logx, cdir=0): + x0 = self.args[0].limit(x, 0) + if x0.is_zero: + f = self._eval_rewrite_as_intractable(*self.args) + return f._eval_nseries(x, n, logx) + return super()._eval_nseries(x, n, logx) + + +class _besselk(DefinedFunction): + """ + Helper function to make the $\\mathrm{besselk}(nu, z)$ + function tractable for the Gruntz algorithm. + + """ + + def _eval_aseries(self, n, args0, x, logx): + from sympy.functions.combinatorial.factorials import RisingFactorial + from sympy.series.order import Order + point = args0[1] + + if point in [S.Infinity, S.NegativeInfinity]: + nu, z = self.args + l = [((RisingFactorial(Rational(2*nu - 1, 2), k)*RisingFactorial( + Rational(2*nu + 1, 2), k))/((-2)**(k)*z**(Rational(2*k + 1, 2))*factorial(k))) for k in range(n)] + return sqrt(pi/(2))*(Add(*l)) + Order(1/z**(Rational(2*n + 1, 2)), x) + + return super()._eval_aseries(n, args0, x, logx) + + def _eval_rewrite_as_intractable(self,nu, z, **kwargs): + return exp(z)*besselk(nu, z) + + def _eval_nseries(self, x, n, logx, cdir=0): + x0 = self.args[0].limit(x, 0) + if x0.is_zero: + f = self._eval_rewrite_as_intractable(*self.args) + return f._eval_nseries(x, n, logx) + return super()._eval_nseries(x, n, logx) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/beta_functions.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/beta_functions.py new file mode 100644 index 0000000000000000000000000000000000000000..337ae6c71fe5a38cc0fcd819e9d489ebbbd1946b --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/beta_functions.py @@ -0,0 +1,389 @@ +from sympy.core import S +from sympy.core.function import DefinedFunction, ArgumentIndexError +from sympy.core.symbol import Dummy, uniquely_named_symbol +from sympy.functions.special.gamma_functions import gamma, digamma +from sympy.functions.combinatorial.numbers import catalan +from sympy.functions.elementary.complexes import conjugate + +# See mpmath #569 and SymPy #20569 +def betainc_mpmath_fix(a, b, x1, x2, reg=0): + from mpmath import betainc, mpf + if x1 == x2: + return mpf(0) + else: + return betainc(a, b, x1, x2, reg) + +############################################################################### +############################ COMPLETE BETA FUNCTION ########################## +############################################################################### + +class beta(DefinedFunction): + r""" + The beta integral is called the Eulerian integral of the first kind by + Legendre: + + .. math:: + \mathrm{B}(x,y) \int^{1}_{0} t^{x-1} (1-t)^{y-1} \mathrm{d}t. + + Explanation + =========== + + The Beta function or Euler's first integral is closely associated + with the gamma function. The Beta function is often used in probability + theory and mathematical statistics. It satisfies properties like: + + .. math:: + \mathrm{B}(a,1) = \frac{1}{a} \\ + \mathrm{B}(a,b) = \mathrm{B}(b,a) \\ + \mathrm{B}(a,b) = \frac{\Gamma(a) \Gamma(b)}{\Gamma(a+b)} + + Therefore for integral values of $a$ and $b$: + + .. math:: + \mathrm{B} = \frac{(a-1)! (b-1)!}{(a+b-1)!} + + A special case of the Beta function when `x = y` is the + Central Beta function. It satisfies properties like: + + .. math:: + \mathrm{B}(x) = 2^{1 - 2x}\mathrm{B}(x, \frac{1}{2}) + \mathrm{B}(x) = 2^{1 - 2x} cos(\pi x) \mathrm{B}(\frac{1}{2} - x, x) + \mathrm{B}(x) = \int_{0}^{1} \frac{t^x}{(1 + t)^{2x}} dt + \mathrm{B}(x) = \frac{2}{x} \prod_{n = 1}^{\infty} \frac{n(n + 2x)}{(n + x)^2} + + Examples + ======== + + >>> from sympy import I, pi + >>> from sympy.abc import x, y + + The Beta function obeys the mirror symmetry: + + >>> from sympy import beta, conjugate + >>> conjugate(beta(x, y)) + beta(conjugate(x), conjugate(y)) + + Differentiation with respect to both $x$ and $y$ is supported: + + >>> from sympy import beta, diff + >>> diff(beta(x, y), x) + (polygamma(0, x) - polygamma(0, x + y))*beta(x, y) + + >>> diff(beta(x, y), y) + (polygamma(0, y) - polygamma(0, x + y))*beta(x, y) + + >>> diff(beta(x), x) + 2*(polygamma(0, x) - polygamma(0, 2*x))*beta(x, x) + + We can numerically evaluate the Beta function to + arbitrary precision for any complex numbers x and y: + + >>> from sympy import beta + >>> beta(pi).evalf(40) + 0.02671848900111377452242355235388489324562 + + >>> beta(1 + I).evalf(20) + -0.2112723729365330143 - 0.7655283165378005676*I + + See Also + ======== + + gamma: Gamma function. + uppergamma: Upper incomplete gamma function. + lowergamma: Lower incomplete gamma function. + polygamma: Polygamma function. + loggamma: Log Gamma function. + digamma: Digamma function. + trigamma: Trigamma function. + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Beta_function + .. [2] https://mathworld.wolfram.com/BetaFunction.html + .. [3] https://dlmf.nist.gov/5.12 + + """ + unbranched = True + + def fdiff(self, argindex): + x, y = self.args + if argindex == 1: + # Diff wrt x + return beta(x, y)*(digamma(x) - digamma(x + y)) + elif argindex == 2: + # Diff wrt y + return beta(x, y)*(digamma(y) - digamma(x + y)) + else: + raise ArgumentIndexError(self, argindex) + + @classmethod + def eval(cls, x, y=None): + if y is None: + return beta(x, x) + if x.is_Number and y.is_Number: + return beta(x, y, evaluate=False).doit() + + def doit(self, **hints): + x = xold = self.args[0] + # Deal with unevaluated single argument beta + single_argument = len(self.args) == 1 + y = yold = self.args[0] if single_argument else self.args[1] + if hints.get('deep', True): + x = x.doit(**hints) + y = y.doit(**hints) + if y.is_zero or x.is_zero: + return S.ComplexInfinity + if y is S.One: + return 1/x + if x is S.One: + return 1/y + if y == x + 1: + return 1/(x*y*catalan(x)) + s = x + y + if (s.is_integer and s.is_negative and x.is_integer is False and + y.is_integer is False): + return S.Zero + if x == xold and y == yold and not single_argument: + return self + return beta(x, y) + + def _eval_expand_func(self, **hints): + x, y = self.args + return gamma(x)*gamma(y) / gamma(x + y) + + def _eval_is_real(self): + return self.args[0].is_real and self.args[1].is_real + + def _eval_conjugate(self): + return self.func(self.args[0].conjugate(), self.args[1].conjugate()) + + def _eval_rewrite_as_gamma(self, x, y, piecewise=True, **kwargs): + return self._eval_expand_func(**kwargs) + + def _eval_rewrite_as_Integral(self, x, y, **kwargs): + from sympy.integrals.integrals import Integral + t = Dummy(uniquely_named_symbol('t', [x, y]).name) + return Integral(t**(x - 1)*(1 - t)**(y - 1), (t, 0, 1)) + +############################################################################### +########################## INCOMPLETE BETA FUNCTION ########################### +############################################################################### + +class betainc(DefinedFunction): + r""" + The Generalized Incomplete Beta function is defined as + + .. math:: + \mathrm{B}_{(x_1, x_2)}(a, b) = \int_{x_1}^{x_2} t^{a - 1} (1 - t)^{b - 1} dt + + The Incomplete Beta function is a special case + of the Generalized Incomplete Beta function : + + .. math:: \mathrm{B}_z (a, b) = \mathrm{B}_{(0, z)}(a, b) + + The Incomplete Beta function satisfies : + + .. math:: \mathrm{B}_z (a, b) = (-1)^a \mathrm{B}_{\frac{z}{z - 1}} (a, 1 - a - b) + + The Beta function is a special case of the Incomplete Beta function : + + .. math:: \mathrm{B}(a, b) = \mathrm{B}_{1}(a, b) + + Examples + ======== + + >>> from sympy import betainc, symbols, conjugate + >>> a, b, x, x1, x2 = symbols('a b x x1 x2') + + The Generalized Incomplete Beta function is given by: + + >>> betainc(a, b, x1, x2) + betainc(a, b, x1, x2) + + The Incomplete Beta function can be obtained as follows: + + >>> betainc(a, b, 0, x) + betainc(a, b, 0, x) + + The Incomplete Beta function obeys the mirror symmetry: + + >>> conjugate(betainc(a, b, x1, x2)) + betainc(conjugate(a), conjugate(b), conjugate(x1), conjugate(x2)) + + We can numerically evaluate the Incomplete Beta function to + arbitrary precision for any complex numbers a, b, x1 and x2: + + >>> from sympy import betainc, I + >>> betainc(2, 3, 4, 5).evalf(10) + 56.08333333 + >>> betainc(0.75, 1 - 4*I, 0, 2 + 3*I).evalf(25) + 0.2241657956955709603655887 + 0.3619619242700451992411724*I + + The Generalized Incomplete Beta function can be expressed + in terms of the Generalized Hypergeometric function. + + >>> from sympy import hyper + >>> betainc(a, b, x1, x2).rewrite(hyper) + (-x1**a*hyper((a, 1 - b), (a + 1,), x1) + x2**a*hyper((a, 1 - b), (a + 1,), x2))/a + + See Also + ======== + + beta: Beta function + hyper: Generalized Hypergeometric function + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Beta_function#Incomplete_beta_function + .. [2] https://dlmf.nist.gov/8.17 + .. [3] https://functions.wolfram.com/GammaBetaErf/Beta4/ + .. [4] https://functions.wolfram.com/GammaBetaErf/BetaRegularized4/02/ + + """ + nargs = 4 + unbranched = True + + def fdiff(self, argindex): + a, b, x1, x2 = self.args + if argindex == 3: + # Diff wrt x1 + return -(1 - x1)**(b - 1)*x1**(a - 1) + elif argindex == 4: + # Diff wrt x2 + return (1 - x2)**(b - 1)*x2**(a - 1) + else: + raise ArgumentIndexError(self, argindex) + + def _eval_mpmath(self): + return betainc_mpmath_fix, self.args + + def _eval_is_real(self): + if all(arg.is_real for arg in self.args): + return True + + def _eval_conjugate(self): + return self.func(*map(conjugate, self.args)) + + def _eval_rewrite_as_Integral(self, a, b, x1, x2, **kwargs): + from sympy.integrals.integrals import Integral + t = Dummy(uniquely_named_symbol('t', [a, b, x1, x2]).name) + return Integral(t**(a - 1)*(1 - t)**(b - 1), (t, x1, x2)) + + def _eval_rewrite_as_hyper(self, a, b, x1, x2, **kwargs): + from sympy.functions.special.hyper import hyper + return (x2**a * hyper((a, 1 - b), (a + 1,), x2) - x1**a * hyper((a, 1 - b), (a + 1,), x1)) / a + +############################################################################### +#################### REGULARIZED INCOMPLETE BETA FUNCTION ##################### +############################################################################### + +class betainc_regularized(DefinedFunction): + r""" + The Generalized Regularized Incomplete Beta function is given by + + .. math:: + \mathrm{I}_{(x_1, x_2)}(a, b) = \frac{\mathrm{B}_{(x_1, x_2)}(a, b)}{\mathrm{B}(a, b)} + + The Regularized Incomplete Beta function is a special case + of the Generalized Regularized Incomplete Beta function : + + .. math:: \mathrm{I}_z (a, b) = \mathrm{I}_{(0, z)}(a, b) + + The Regularized Incomplete Beta function is the cumulative distribution + function of the beta distribution. + + Examples + ======== + + >>> from sympy import betainc_regularized, symbols, conjugate + >>> a, b, x, x1, x2 = symbols('a b x x1 x2') + + The Generalized Regularized Incomplete Beta + function is given by: + + >>> betainc_regularized(a, b, x1, x2) + betainc_regularized(a, b, x1, x2) + + The Regularized Incomplete Beta function + can be obtained as follows: + + >>> betainc_regularized(a, b, 0, x) + betainc_regularized(a, b, 0, x) + + The Regularized Incomplete Beta function + obeys the mirror symmetry: + + >>> conjugate(betainc_regularized(a, b, x1, x2)) + betainc_regularized(conjugate(a), conjugate(b), conjugate(x1), conjugate(x2)) + + We can numerically evaluate the Regularized Incomplete Beta function + to arbitrary precision for any complex numbers a, b, x1 and x2: + + >>> from sympy import betainc_regularized, pi, E + >>> betainc_regularized(1, 2, 0, 0.25).evalf(10) + 0.4375000000 + >>> betainc_regularized(pi, E, 0, 1).evalf(5) + 1.00000 + + The Generalized Regularized Incomplete Beta function can be + expressed in terms of the Generalized Hypergeometric function. + + >>> from sympy import hyper + >>> betainc_regularized(a, b, x1, x2).rewrite(hyper) + (-x1**a*hyper((a, 1 - b), (a + 1,), x1) + x2**a*hyper((a, 1 - b), (a + 1,), x2))/(a*beta(a, b)) + + See Also + ======== + + beta: Beta function + hyper: Generalized Hypergeometric function + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Beta_function#Incomplete_beta_function + .. [2] https://dlmf.nist.gov/8.17 + .. [3] https://functions.wolfram.com/GammaBetaErf/Beta4/ + .. [4] https://functions.wolfram.com/GammaBetaErf/BetaRegularized4/02/ + + """ + nargs = 4 + unbranched = True + + def __new__(cls, a, b, x1, x2): + return super().__new__(cls, a, b, x1, x2) + + def _eval_mpmath(self): + return betainc_mpmath_fix, (*self.args, S(1)) + + def fdiff(self, argindex): + a, b, x1, x2 = self.args + if argindex == 3: + # Diff wrt x1 + return -(1 - x1)**(b - 1)*x1**(a - 1) / beta(a, b) + elif argindex == 4: + # Diff wrt x2 + return (1 - x2)**(b - 1)*x2**(a - 1) / beta(a, b) + else: + raise ArgumentIndexError(self, argindex) + + def _eval_is_real(self): + if all(arg.is_real for arg in self.args): + return True + + def _eval_conjugate(self): + return self.func(*map(conjugate, self.args)) + + def _eval_rewrite_as_Integral(self, a, b, x1, x2, **kwargs): + from sympy.integrals.integrals import Integral + t = Dummy(uniquely_named_symbol('t', [a, b, x1, x2]).name) + integrand = t**(a - 1)*(1 - t)**(b - 1) + expr = Integral(integrand, (t, x1, x2)) + return expr / Integral(integrand, (t, 0, 1)) + + def _eval_rewrite_as_hyper(self, a, b, x1, x2, **kwargs): + from sympy.functions.special.hyper import hyper + expr = (x2**a * hyper((a, 1 - b), (a + 1,), x2) - x1**a * hyper((a, 1 - b), (a + 1,), x1)) / a + return expr / beta(a, b) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/bsplines.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/bsplines.py new file mode 100644 index 0000000000000000000000000000000000000000..50c9141e841288aa02457c466fc6573f9a20d09f --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/bsplines.py @@ -0,0 +1,348 @@ +from sympy.core import S, sympify +from sympy.core.symbol import (Dummy, symbols) +from sympy.functions import Piecewise, piecewise_fold +from sympy.logic.boolalg import And +from sympy.sets.sets import Interval + +from functools import lru_cache + + +def _ivl(cond, x): + """return the interval corresponding to the condition + + Conditions in spline's Piecewise give the range over + which an expression is valid like (lo <= x) & (x <= hi). + This function returns (lo, hi). + """ + if isinstance(cond, And) and len(cond.args) == 2: + a, b = cond.args + if a.lts == x: + a, b = b, a + return a.lts, b.gts + raise TypeError('unexpected cond type: %s' % cond) + + +def _add_splines(c, b1, d, b2, x): + """Construct c*b1 + d*b2.""" + + if S.Zero in (b1, c): + rv = piecewise_fold(d * b2) + elif S.Zero in (b2, d): + rv = piecewise_fold(c * b1) + else: + new_args = [] + # Just combining the Piecewise without any fancy optimization + p1 = piecewise_fold(c * b1) + p2 = piecewise_fold(d * b2) + + # Search all Piecewise arguments except (0, True) + p2args = list(p2.args[:-1]) + + # This merging algorithm assumes the conditions in + # p1 and p2 are sorted + for arg in p1.args[:-1]: + expr = arg.expr + cond = arg.cond + + lower = _ivl(cond, x)[0] + + # Check p2 for matching conditions that can be merged + for i, arg2 in enumerate(p2args): + expr2 = arg2.expr + cond2 = arg2.cond + + lower_2, upper_2 = _ivl(cond2, x) + if cond2 == cond: + # Conditions match, join expressions + expr += expr2 + # Remove matching element + del p2args[i] + # No need to check the rest + break + elif lower_2 < lower and upper_2 <= lower: + # Check if arg2 condition smaller than arg1, + # add to new_args by itself (no match expected + # in p1) + new_args.append(arg2) + del p2args[i] + break + + # Checked all, add expr and cond + new_args.append((expr, cond)) + + # Add remaining items from p2args + new_args.extend(p2args) + + # Add final (0, True) + new_args.append((0, True)) + + rv = Piecewise(*new_args, evaluate=False) + + return rv.expand() + + +@lru_cache(maxsize=128) +def bspline_basis(d, knots, n, x): + """ + The $n$-th B-spline at $x$ of degree $d$ with knots. + + Explanation + =========== + + B-Splines are piecewise polynomials of degree $d$. They are defined on a + set of knots, which is a sequence of integers or floats. + + Examples + ======== + + The 0th degree splines have a value of 1 on a single interval: + + >>> from sympy import bspline_basis + >>> from sympy.abc import x + >>> d = 0 + >>> knots = tuple(range(5)) + >>> bspline_basis(d, knots, 0, x) + Piecewise((1, (x >= 0) & (x <= 1)), (0, True)) + + For a given ``(d, knots)`` there are ``len(knots)-d-1`` B-splines + defined, that are indexed by ``n`` (starting at 0). + + Here is an example of a cubic B-spline: + + >>> bspline_basis(3, tuple(range(5)), 0, x) + Piecewise((x**3/6, (x >= 0) & (x <= 1)), + (-x**3/2 + 2*x**2 - 2*x + 2/3, + (x >= 1) & (x <= 2)), + (x**3/2 - 4*x**2 + 10*x - 22/3, + (x >= 2) & (x <= 3)), + (-x**3/6 + 2*x**2 - 8*x + 32/3, + (x >= 3) & (x <= 4)), + (0, True)) + + By repeating knot points, you can introduce discontinuities in the + B-splines and their derivatives: + + >>> d = 1 + >>> knots = (0, 0, 2, 3, 4) + >>> bspline_basis(d, knots, 0, x) + Piecewise((1 - x/2, (x >= 0) & (x <= 2)), (0, True)) + + It is quite time consuming to construct and evaluate B-splines. If + you need to evaluate a B-spline many times, it is best to lambdify them + first: + + >>> from sympy import lambdify + >>> d = 3 + >>> knots = tuple(range(10)) + >>> b0 = bspline_basis(d, knots, 0, x) + >>> f = lambdify(x, b0) + >>> y = f(0.5) + + Parameters + ========== + + d : integer + degree of bspline + + knots : list of integer values + list of knots points of bspline + + n : integer + $n$-th B-spline + + x : symbol + + See Also + ======== + + bspline_basis_set + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/B-spline + + """ + # make sure x has no assumptions so conditions don't evaluate + xvar = x + x = Dummy() + + knots = tuple(sympify(k) for k in knots) + d = int(d) + n = int(n) + n_knots = len(knots) + n_intervals = n_knots - 1 + if n + d + 1 > n_intervals: + raise ValueError("n + d + 1 must not exceed len(knots) - 1") + if d == 0: + result = Piecewise( + (S.One, Interval(knots[n], knots[n + 1]).contains(x)), (0, True) + ) + elif d > 0: + denom = knots[n + d + 1] - knots[n + 1] + if denom != S.Zero: + B = (knots[n + d + 1] - x) / denom + b2 = bspline_basis(d - 1, knots, n + 1, x) + else: + b2 = B = S.Zero + + denom = knots[n + d] - knots[n] + if denom != S.Zero: + A = (x - knots[n]) / denom + b1 = bspline_basis(d - 1, knots, n, x) + else: + b1 = A = S.Zero + + result = _add_splines(A, b1, B, b2, x) + else: + raise ValueError("degree must be non-negative: %r" % n) + + # return result with user-given x + return result.xreplace({x: xvar}) + + +def bspline_basis_set(d, knots, x): + """ + Return the ``len(knots)-d-1`` B-splines at *x* of degree *d* + with *knots*. + + Explanation + =========== + + This function returns a list of piecewise polynomials that are the + ``len(knots)-d-1`` B-splines of degree *d* for the given knots. + This function calls ``bspline_basis(d, knots, n, x)`` for different + values of *n*. + + Examples + ======== + + >>> from sympy import bspline_basis_set + >>> from sympy.abc import x + >>> d = 2 + >>> knots = range(5) + >>> splines = bspline_basis_set(d, knots, x) + >>> splines + [Piecewise((x**2/2, (x >= 0) & (x <= 1)), + (-x**2 + 3*x - 3/2, (x >= 1) & (x <= 2)), + (x**2/2 - 3*x + 9/2, (x >= 2) & (x <= 3)), + (0, True)), + Piecewise((x**2/2 - x + 1/2, (x >= 1) & (x <= 2)), + (-x**2 + 5*x - 11/2, (x >= 2) & (x <= 3)), + (x**2/2 - 4*x + 8, (x >= 3) & (x <= 4)), + (0, True))] + + Parameters + ========== + + d : integer + degree of bspline + + knots : list of integers + list of knots points of bspline + + x : symbol + + See Also + ======== + + bspline_basis + + """ + n_splines = len(knots) - d - 1 + return [bspline_basis(d, tuple(knots), i, x) for i in range(n_splines)] + + +def interpolating_spline(d, x, X, Y): + """ + Return spline of degree *d*, passing through the given *X* + and *Y* values. + + Explanation + =========== + + This function returns a piecewise function such that each part is + a polynomial of degree not greater than *d*. The value of *d* + must be 1 or greater and the values of *X* must be strictly + increasing. + + Examples + ======== + + >>> from sympy import interpolating_spline + >>> from sympy.abc import x + >>> interpolating_spline(1, x, [1, 2, 4, 7], [3, 6, 5, 7]) + Piecewise((3*x, (x >= 1) & (x <= 2)), + (7 - x/2, (x >= 2) & (x <= 4)), + (2*x/3 + 7/3, (x >= 4) & (x <= 7))) + >>> interpolating_spline(3, x, [-2, 0, 1, 3, 4], [4, 2, 1, 1, 3]) + Piecewise((7*x**3/117 + 7*x**2/117 - 131*x/117 + 2, (x >= -2) & (x <= 1)), + (10*x**3/117 - 2*x**2/117 - 122*x/117 + 77/39, (x >= 1) & (x <= 4))) + + Parameters + ========== + + d : integer + Degree of Bspline strictly greater than equal to one + + x : symbol + + X : list of strictly increasing real values + list of X coordinates through which the spline passes + + Y : list of real values + list of corresponding Y coordinates through which the spline passes + + See Also + ======== + + bspline_basis_set, interpolating_poly + + """ + from sympy.solvers.solveset import linsolve + from sympy.matrices.dense import Matrix + + # Input sanitization + d = sympify(d) + if not (d.is_Integer and d.is_positive): + raise ValueError("Spline degree must be a positive integer, not %s." % d) + if len(X) != len(Y): + raise ValueError("Number of X and Y coordinates must be the same.") + if len(X) < d + 1: + raise ValueError("Degree must be less than the number of control points.") + if not all(a < b for a, b in zip(X, X[1:])): + raise ValueError("The x-coordinates must be strictly increasing.") + X = [sympify(i) for i in X] + + # Evaluating knots value + if d.is_odd: + j = (d + 1) // 2 + interior_knots = X[j:-j] + else: + j = d // 2 + interior_knots = [ + (a + b)/2 for a, b in zip(X[j : -j - 1], X[j + 1 : -j]) + ] + + knots = [X[0]] * (d + 1) + list(interior_knots) + [X[-1]] * (d + 1) + + basis = bspline_basis_set(d, knots, x) + + A = [[b.subs(x, v) for b in basis] for v in X] + + coeff = linsolve((Matrix(A), Matrix(Y)), symbols("c0:{}".format(len(X)), cls=Dummy)) + coeff = list(coeff)[0] + intervals = {c for b in basis for (e, c) in b.args if c != True} + + # Sorting the intervals + # ival contains the end-points of each interval + intervals = sorted(intervals, key=lambda c: _ivl(c, x)) + + basis_dicts = [{c: e for (e, c) in b.args} for b in basis] + spline = [] + for i in intervals: + piece = sum( + [c * d.get(i, S.Zero) for (c, d) in zip(coeff, basis_dicts)], S.Zero + ) + spline.append((piece, i)) + return Piecewise(*spline) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/delta_functions.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/delta_functions.py new file mode 100644 index 0000000000000000000000000000000000000000..698d8c0c3ba5e68c2f084e83e7a9ec070ce83307 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/delta_functions.py @@ -0,0 +1,664 @@ +from sympy.core import S, diff +from sympy.core.function import DefinedFunction, ArgumentIndexError +from sympy.core.logic import fuzzy_not +from sympy.core.relational import Eq, Ne +from sympy.functions.elementary.complexes import im, sign +from sympy.functions.elementary.piecewise import Piecewise +from sympy.polys.polyerrors import PolynomialError +from sympy.polys.polyroots import roots +from sympy.utilities.misc import filldedent + + +############################################################################### +################################ DELTA FUNCTION ############################### +############################################################################### + + +class DiracDelta(DefinedFunction): + r""" + The DiracDelta function and its derivatives. + + Explanation + =========== + + DiracDelta is not an ordinary function. It can be rigorously defined either + as a distribution or as a measure. + + DiracDelta only makes sense in definite integrals, and in particular, + integrals of the form ``Integral(f(x)*DiracDelta(x - x0), (x, a, b))``, + where it equals ``f(x0)`` if ``a <= x0 <= b`` and ``0`` otherwise. Formally, + DiracDelta acts in some ways like a function that is ``0`` everywhere except + at ``0``, but in many ways it also does not. It can often be useful to treat + DiracDelta in formal ways, building up and manipulating expressions with + delta functions (which may eventually be integrated), but care must be taken + to not treat it as a real function. SymPy's ``oo`` is similar. It only + truly makes sense formally in certain contexts (such as integration limits), + but SymPy allows its use everywhere, and it tries to be consistent with + operations on it (like ``1/oo``), but it is easy to get into trouble and get + wrong results if ``oo`` is treated too much like a number. Similarly, if + DiracDelta is treated too much like a function, it is easy to get wrong or + nonsensical results. + + DiracDelta function has the following properties: + + 1) $\frac{d}{d x} \theta(x) = \delta(x)$ + 2) $\int_{-\infty}^\infty \delta(x - a)f(x)\, dx = f(a)$ and $\int_{a- + \epsilon}^{a+\epsilon} \delta(x - a)f(x)\, dx = f(a)$ + 3) $\delta(x) = 0$ for all $x \neq 0$ + 4) $\delta(g(x)) = \sum_i \frac{\delta(x - x_i)}{\|g'(x_i)\|}$ where $x_i$ + are the roots of $g$ + 5) $\delta(-x) = \delta(x)$ + + Derivatives of ``k``-th order of DiracDelta have the following properties: + + 6) $\delta(x, k) = 0$ for all $x \neq 0$ + 7) $\delta(-x, k) = -\delta(x, k)$ for odd $k$ + 8) $\delta(-x, k) = \delta(x, k)$ for even $k$ + + Examples + ======== + + >>> from sympy import DiracDelta, diff, pi + >>> from sympy.abc import x, y + + >>> DiracDelta(x) + DiracDelta(x) + >>> DiracDelta(1) + 0 + >>> DiracDelta(-1) + 0 + >>> DiracDelta(pi) + 0 + >>> DiracDelta(x - 4).subs(x, 4) + DiracDelta(0) + >>> diff(DiracDelta(x)) + DiracDelta(x, 1) + >>> diff(DiracDelta(x - 1), x, 2) + DiracDelta(x - 1, 2) + >>> diff(DiracDelta(x**2 - 1), x, 2) + 2*(2*x**2*DiracDelta(x**2 - 1, 2) + DiracDelta(x**2 - 1, 1)) + >>> DiracDelta(3*x).is_simple(x) + True + >>> DiracDelta(x**2).is_simple(x) + False + >>> DiracDelta((x**2 - 1)*y).expand(diracdelta=True, wrt=x) + DiracDelta(x - 1)/(2*Abs(y)) + DiracDelta(x + 1)/(2*Abs(y)) + + See Also + ======== + + Heaviside + sympy.simplify.simplify.simplify, is_simple + sympy.functions.special.tensor_functions.KroneckerDelta + + References + ========== + + .. [1] https://mathworld.wolfram.com/DeltaFunction.html + + """ + + is_real = True + + def fdiff(self, argindex=1): + """ + Returns the first derivative of a DiracDelta Function. + + Explanation + =========== + + The difference between ``diff()`` and ``fdiff()`` is: ``diff()`` is the + user-level function and ``fdiff()`` is an object method. ``fdiff()`` is + a convenience method available in the ``Function`` class. It returns + the derivative of the function without considering the chain rule. + ``diff(function, x)`` calls ``Function._eval_derivative`` which in turn + calls ``fdiff()`` internally to compute the derivative of the function. + + Examples + ======== + + >>> from sympy import DiracDelta, diff + >>> from sympy.abc import x + + >>> DiracDelta(x).fdiff() + DiracDelta(x, 1) + + >>> DiracDelta(x, 1).fdiff() + DiracDelta(x, 2) + + >>> DiracDelta(x**2 - 1).fdiff() + DiracDelta(x**2 - 1, 1) + + >>> diff(DiracDelta(x, 1)).fdiff() + DiracDelta(x, 3) + + Parameters + ========== + + argindex : integer + degree of derivative + + """ + if argindex == 1: + #I didn't know if there is a better way to handle default arguments + k = 0 + if len(self.args) > 1: + k = self.args[1] + return self.func(self.args[0], k + 1) + else: + raise ArgumentIndexError(self, argindex) + + @classmethod + def eval(cls, arg, k=S.Zero): + """ + Returns a simplified form or a value of DiracDelta depending on the + argument passed by the DiracDelta object. + + Explanation + =========== + + The ``eval()`` method is automatically called when the ``DiracDelta`` + class is about to be instantiated and it returns either some simplified + instance or the unevaluated instance depending on the argument passed. + In other words, ``eval()`` method is not needed to be called explicitly, + it is being called and evaluated once the object is called. + + Examples + ======== + + >>> from sympy import DiracDelta, S + >>> from sympy.abc import x + + >>> DiracDelta(x) + DiracDelta(x) + + >>> DiracDelta(-x, 1) + -DiracDelta(x, 1) + + >>> DiracDelta(1) + 0 + + >>> DiracDelta(5, 1) + 0 + + >>> DiracDelta(0) + DiracDelta(0) + + >>> DiracDelta(-1) + 0 + + >>> DiracDelta(S.NaN) + nan + + >>> DiracDelta(x - 100).subs(x, 5) + 0 + + >>> DiracDelta(x - 100).subs(x, 100) + DiracDelta(0) + + Parameters + ========== + + k : integer + order of derivative + + arg : argument passed to DiracDelta + + """ + if not k.is_Integer or k.is_negative: + raise ValueError("Error: the second argument of DiracDelta must be \ + a non-negative integer, %s given instead." % (k,)) + if arg is S.NaN: + return S.NaN + if arg.is_nonzero: + return S.Zero + if fuzzy_not(im(arg).is_zero): + raise ValueError(filldedent(''' + Function defined only for Real Values. + Complex part: %s found in %s .''' % ( + repr(im(arg)), repr(arg)))) + c, nc = arg.args_cnc() + if c and c[0] is S.NegativeOne: + # keep this fast and simple instead of using + # could_extract_minus_sign + if k.is_odd: + return -cls(-arg, k) + elif k.is_even: + return cls(-arg, k) if k else cls(-arg) + elif k.is_zero: + return cls(arg, evaluate=False) + + def _eval_expand_diracdelta(self, **hints): + """ + Compute a simplified representation of the function using + property number 4. Pass ``wrt`` as a hint to expand the expression + with respect to a particular variable. + + Explanation + =========== + + ``wrt`` is: + + - a variable with respect to which a DiracDelta expression will + get expanded. + + Examples + ======== + + >>> from sympy import DiracDelta + >>> from sympy.abc import x, y + + >>> DiracDelta(x*y).expand(diracdelta=True, wrt=x) + DiracDelta(x)/Abs(y) + >>> DiracDelta(x*y).expand(diracdelta=True, wrt=y) + DiracDelta(y)/Abs(x) + + >>> DiracDelta(x**2 + x - 2).expand(diracdelta=True, wrt=x) + DiracDelta(x - 1)/3 + DiracDelta(x + 2)/3 + + See Also + ======== + + is_simple, Diracdelta + + """ + wrt = hints.get('wrt', None) + if wrt is None: + free = self.free_symbols + if len(free) == 1: + wrt = free.pop() + else: + raise TypeError(filldedent(''' + When there is more than 1 free symbol or variable in the expression, + the 'wrt' keyword is required as a hint to expand when using the + DiracDelta hint.''')) + + if not self.args[0].has(wrt) or (len(self.args) > 1 and self.args[1] != 0 ): + return self + try: + argroots = roots(self.args[0], wrt) + result = 0 + valid = True + darg = abs(diff(self.args[0], wrt)) + for r, m in argroots.items(): + if r.is_real is not False and m == 1: + result += self.func(wrt - r)/darg.subs(wrt, r) + else: + # don't handle non-real and if m != 1 then + # a polynomial will have a zero in the derivative (darg) + # at r + valid = False + break + if valid: + return result + except PolynomialError: + pass + return self + + def is_simple(self, x): + """ + Tells whether the argument(args[0]) of DiracDelta is a linear + expression in *x*. + + Examples + ======== + + >>> from sympy import DiracDelta, cos + >>> from sympy.abc import x, y + + >>> DiracDelta(x*y).is_simple(x) + True + >>> DiracDelta(x*y).is_simple(y) + True + + >>> DiracDelta(x**2 + x - 2).is_simple(x) + False + + >>> DiracDelta(cos(x)).is_simple(x) + False + + Parameters + ========== + + x : can be a symbol + + See Also + ======== + + sympy.simplify.simplify.simplify, DiracDelta + + """ + p = self.args[0].as_poly(x) + if p: + return p.degree() == 1 + return False + + def _eval_rewrite_as_Piecewise(self, *args, **kwargs): + """ + Represents DiracDelta in a piecewise form. + + Examples + ======== + + >>> from sympy import DiracDelta, Piecewise, Symbol + >>> x = Symbol('x') + + >>> DiracDelta(x).rewrite(Piecewise) + Piecewise((DiracDelta(0), Eq(x, 0)), (0, True)) + + >>> DiracDelta(x - 5).rewrite(Piecewise) + Piecewise((DiracDelta(0), Eq(x, 5)), (0, True)) + + >>> DiracDelta(x**2 - 5).rewrite(Piecewise) + Piecewise((DiracDelta(0), Eq(x**2, 5)), (0, True)) + + >>> DiracDelta(x - 5, 4).rewrite(Piecewise) + DiracDelta(x - 5, 4) + + """ + if len(args) == 1: + return Piecewise((DiracDelta(0), Eq(args[0], 0)), (0, True)) + + def _eval_rewrite_as_SingularityFunction(self, *args, **kwargs): + """ + Returns the DiracDelta expression written in the form of Singularity + Functions. + + """ + from sympy.solvers import solve + from sympy.functions.special.singularity_functions import SingularityFunction + if self == DiracDelta(0): + return SingularityFunction(0, 0, -1) + if self == DiracDelta(0, 1): + return SingularityFunction(0, 0, -2) + free = self.free_symbols + if len(free) == 1: + x = (free.pop()) + if len(args) == 1: + return SingularityFunction(x, solve(args[0], x)[0], -1) + return SingularityFunction(x, solve(args[0], x)[0], -args[1] - 1) + else: + # I don't know how to handle the case for DiracDelta expressions + # having arguments with more than one variable. + raise TypeError(filldedent(''' + rewrite(SingularityFunction) does not support + arguments with more that one variable.''')) + + +############################################################################### +############################## HEAVISIDE FUNCTION ############################# +############################################################################### + + +class Heaviside(DefinedFunction): + r""" + Heaviside step function. + + Explanation + =========== + + The Heaviside step function has the following properties: + + 1) $\frac{d}{d x} \theta(x) = \delta(x)$ + 2) $\theta(x) = \begin{cases} 0 & \text{for}\: x < 0 \\ \frac{1}{2} & + \text{for}\: x = 0 \\1 & \text{for}\: x > 0 \end{cases}$ + 3) $\frac{d}{d x} \max(x, 0) = \theta(x)$ + + Heaviside(x) is printed as $\theta(x)$ with the SymPy LaTeX printer. + + The value at 0 is set differently in different fields. SymPy uses 1/2, + which is a convention from electronics and signal processing, and is + consistent with solving improper integrals by Fourier transform and + convolution. + + To specify a different value of Heaviside at ``x=0``, a second argument + can be given. Using ``Heaviside(x, nan)`` gives an expression that will + evaluate to nan for x=0. + + .. versionchanged:: 1.9 ``Heaviside(0)`` now returns 1/2 (before: undefined) + + Examples + ======== + + >>> from sympy import Heaviside, nan + >>> from sympy.abc import x + >>> Heaviside(9) + 1 + >>> Heaviside(-9) + 0 + >>> Heaviside(0) + 1/2 + >>> Heaviside(0, nan) + nan + >>> (Heaviside(x) + 1).replace(Heaviside(x), Heaviside(x, 1)) + Heaviside(x, 1) + 1 + + See Also + ======== + + DiracDelta + + References + ========== + + .. [1] https://mathworld.wolfram.com/HeavisideStepFunction.html + .. [2] https://dlmf.nist.gov/1.16#iv + + """ + + is_real = True + + def fdiff(self, argindex=1): + """ + Returns the first derivative of a Heaviside Function. + + Examples + ======== + + >>> from sympy import Heaviside, diff + >>> from sympy.abc import x + + >>> Heaviside(x).fdiff() + DiracDelta(x) + + >>> Heaviside(x**2 - 1).fdiff() + DiracDelta(x**2 - 1) + + >>> diff(Heaviside(x)).fdiff() + DiracDelta(x, 1) + + Parameters + ========== + + argindex : integer + order of derivative + + """ + if argindex == 1: + return DiracDelta(self.args[0]) + else: + raise ArgumentIndexError(self, argindex) + + def __new__(cls, arg, H0=S.Half, **options): + if isinstance(H0, Heaviside) and len(H0.args) == 1: + H0 = S.Half + return super(cls, cls).__new__(cls, arg, H0, **options) + + @property + def pargs(self): + """Args without default S.Half""" + args = self.args + if args[1] is S.Half: + args = args[:1] + return args + + @classmethod + def eval(cls, arg, H0=S.Half): + """ + Returns a simplified form or a value of Heaviside depending on the + argument passed by the Heaviside object. + + Explanation + =========== + + The ``eval()`` method is automatically called when the ``Heaviside`` + class is about to be instantiated and it returns either some simplified + instance or the unevaluated instance depending on the argument passed. + In other words, ``eval()`` method is not needed to be called explicitly, + it is being called and evaluated once the object is called. + + Examples + ======== + + >>> from sympy import Heaviside, S + >>> from sympy.abc import x + + >>> Heaviside(x) + Heaviside(x) + + >>> Heaviside(19) + 1 + + >>> Heaviside(0) + 1/2 + + >>> Heaviside(0, 1) + 1 + + >>> Heaviside(-5) + 0 + + >>> Heaviside(S.NaN) + nan + + >>> Heaviside(x - 100).subs(x, 5) + 0 + + >>> Heaviside(x - 100).subs(x, 105) + 1 + + Parameters + ========== + + arg : argument passed by Heaviside object + + H0 : value of Heaviside(0) + + """ + if arg.is_extended_negative: + return S.Zero + elif arg.is_extended_positive: + return S.One + elif arg.is_zero: + return H0 + elif arg is S.NaN: + return S.NaN + elif fuzzy_not(im(arg).is_zero): + raise ValueError("Function defined only for Real Values. Complex part: %s found in %s ." % (repr(im(arg)), repr(arg)) ) + + def _eval_rewrite_as_Piecewise(self, arg, H0=None, **kwargs): + """ + Represents Heaviside in a Piecewise form. + + Examples + ======== + + >>> from sympy import Heaviside, Piecewise, Symbol, nan + >>> x = Symbol('x') + + >>> Heaviside(x).rewrite(Piecewise) + Piecewise((0, x < 0), (1/2, Eq(x, 0)), (1, True)) + + >>> Heaviside(x,nan).rewrite(Piecewise) + Piecewise((0, x < 0), (nan, Eq(x, 0)), (1, True)) + + >>> Heaviside(x - 5).rewrite(Piecewise) + Piecewise((0, x < 5), (1/2, Eq(x, 5)), (1, True)) + + >>> Heaviside(x**2 - 1).rewrite(Piecewise) + Piecewise((0, x**2 < 1), (1/2, Eq(x**2, 1)), (1, True)) + + """ + if H0 == 0: + return Piecewise((0, arg <= 0), (1, True)) + if H0 == 1: + return Piecewise((0, arg < 0), (1, True)) + return Piecewise((0, arg < 0), (H0, Eq(arg, 0)), (1, True)) + + def _eval_rewrite_as_sign(self, arg, H0=S.Half, **kwargs): + """ + Represents the Heaviside function in the form of sign function. + + Explanation + =========== + + The value of Heaviside(0) must be 1/2 for rewriting as sign to be + strictly equivalent. For easier usage, we also allow this rewriting + when Heaviside(0) is undefined. + + Examples + ======== + + >>> from sympy import Heaviside, Symbol, sign, nan + >>> x = Symbol('x', real=True) + >>> y = Symbol('y') + + >>> Heaviside(x).rewrite(sign) + sign(x)/2 + 1/2 + + >>> Heaviside(x, 0).rewrite(sign) + Piecewise((sign(x)/2 + 1/2, Ne(x, 0)), (0, True)) + + >>> Heaviside(x, nan).rewrite(sign) + Piecewise((sign(x)/2 + 1/2, Ne(x, 0)), (nan, True)) + + >>> Heaviside(x - 2).rewrite(sign) + sign(x - 2)/2 + 1/2 + + >>> Heaviside(x**2 - 2*x + 1).rewrite(sign) + sign(x**2 - 2*x + 1)/2 + 1/2 + + >>> Heaviside(y).rewrite(sign) + Heaviside(y) + + >>> Heaviside(y**2 - 2*y + 1).rewrite(sign) + Heaviside(y**2 - 2*y + 1) + + See Also + ======== + + sign + + """ + if arg.is_extended_real: + pw1 = Piecewise( + ((sign(arg) + 1)/2, Ne(arg, 0)), + (Heaviside(0, H0=H0), True)) + pw2 = Piecewise( + ((sign(arg) + 1)/2, Eq(Heaviside(0, H0=H0), S.Half)), + (pw1, True)) + return pw2 + + def _eval_rewrite_as_SingularityFunction(self, args, H0=S.Half, **kwargs): + """ + Returns the Heaviside expression written in the form of Singularity + Functions. + + """ + from sympy.solvers import solve + from sympy.functions.special.singularity_functions import SingularityFunction + if self == Heaviside(0): + return SingularityFunction(0, 0, 0) + free = self.free_symbols + if len(free) == 1: + x = (free.pop()) + return SingularityFunction(x, solve(args, x)[0], 0) + # TODO + # ((x - 5)**3*Heaviside(x - 5)).rewrite(SingularityFunction) should output + # SingularityFunction(x, 5, 0) instead of (x - 5)**3*SingularityFunction(x, 5, 0) + else: + # I don't know how to handle the case for Heaviside expressions + # having arguments with more than one variable. + raise TypeError(filldedent(''' + rewrite(SingularityFunction) does not + support arguments with more that one variable.''')) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/elliptic_integrals.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/elliptic_integrals.py new file mode 100644 index 0000000000000000000000000000000000000000..a94e343c0106891db44668ae05c33e84ecd05d0b --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/elliptic_integrals.py @@ -0,0 +1,445 @@ +""" Elliptic Integrals. """ + +from sympy.core import S, pi, I, Rational +from sympy.core.function import DefinedFunction, ArgumentIndexError +from sympy.core.symbol import Dummy,uniquely_named_symbol +from sympy.functions.elementary.complexes import sign +from sympy.functions.elementary.hyperbolic import atanh +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.trigonometric import sin, tan +from sympy.functions.special.gamma_functions import gamma +from sympy.functions.special.hyper import hyper, meijerg + +class elliptic_k(DefinedFunction): + r""" + The complete elliptic integral of the first kind, defined by + + .. math:: K(m) = F\left(\tfrac{\pi}{2}\middle| m\right) + + where $F\left(z\middle| m\right)$ is the Legendre incomplete + elliptic integral of the first kind. + + Explanation + =========== + + The function $K(m)$ is a single-valued function on the complex + plane with branch cut along the interval $(1, \infty)$. + + Note that our notation defines the incomplete elliptic integral + in terms of the parameter $m$ instead of the elliptic modulus + (eccentricity) $k$. + In this case, the parameter $m$ is defined as $m=k^2$. + + Examples + ======== + + >>> from sympy import elliptic_k, I + >>> from sympy.abc import m + >>> elliptic_k(0) + pi/2 + >>> elliptic_k(1.0 + I) + 1.50923695405127 + 0.625146415202697*I + >>> elliptic_k(m).series(n=3) + pi/2 + pi*m/8 + 9*pi*m**2/128 + O(m**3) + + See Also + ======== + + elliptic_f + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Elliptic_integrals + .. [2] https://functions.wolfram.com/EllipticIntegrals/EllipticK + + """ + + @classmethod + def eval(cls, m): + if m.is_zero: + return pi*S.Half + elif m is S.Half: + return 8*pi**Rational(3, 2)/gamma(Rational(-1, 4))**2 + elif m is S.One: + return S.ComplexInfinity + elif m is S.NegativeOne: + return gamma(Rational(1, 4))**2/(4*sqrt(2*pi)) + elif m in (S.Infinity, S.NegativeInfinity, I*S.Infinity, + I*S.NegativeInfinity, S.ComplexInfinity): + return S.Zero + + def fdiff(self, argindex=1): + m = self.args[0] + return (elliptic_e(m) - (1 - m)*elliptic_k(m))/(2*m*(1 - m)) + + def _eval_conjugate(self): + m = self.args[0] + if (m.is_real and (m - 1).is_positive) is False: + return self.func(m.conjugate()) + + def _eval_nseries(self, x, n, logx, cdir=0): + from sympy.simplify import hyperexpand + return hyperexpand(self.rewrite(hyper)._eval_nseries(x, n=n, logx=logx)) + + def _eval_rewrite_as_hyper(self, m, **kwargs): + return pi*S.Half*hyper((S.Half, S.Half), (S.One,), m) + + def _eval_rewrite_as_meijerg(self, m, **kwargs): + return meijerg(((S.Half, S.Half), []), ((S.Zero,), (S.Zero,)), -m)/2 + + def _eval_is_zero(self): + m = self.args[0] + if m.is_infinite: + return True + + def _eval_rewrite_as_Integral(self, *args, **kwargs): + from sympy.integrals.integrals import Integral + t = Dummy(uniquely_named_symbol('t', args).name) + m = self.args[0] + return Integral(1/sqrt(1 - m*sin(t)**2), (t, 0, pi/2)) + + +class elliptic_f(DefinedFunction): + r""" + The Legendre incomplete elliptic integral of the first + kind, defined by + + .. math:: F\left(z\middle| m\right) = + \int_0^z \frac{dt}{\sqrt{1 - m \sin^2 t}} + + Explanation + =========== + + This function reduces to a complete elliptic integral of + the first kind, $K(m)$, when $z = \pi/2$. + + Note that our notation defines the incomplete elliptic integral + in terms of the parameter $m$ instead of the elliptic modulus + (eccentricity) $k$. + In this case, the parameter $m$ is defined as $m=k^2$. + + Examples + ======== + + >>> from sympy import elliptic_f, I + >>> from sympy.abc import z, m + >>> elliptic_f(z, m).series(z) + z + z**5*(3*m**2/40 - m/30) + m*z**3/6 + O(z**6) + >>> elliptic_f(3.0 + I/2, 1.0 + I) + 2.909449841483 + 1.74720545502474*I + + See Also + ======== + + elliptic_k + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Elliptic_integrals + .. [2] https://functions.wolfram.com/EllipticIntegrals/EllipticF + + """ + + @classmethod + def eval(cls, z, m): + if z.is_zero: + return S.Zero + if m.is_zero: + return z + k = 2*z/pi + if k.is_integer: + return k*elliptic_k(m) + elif m in (S.Infinity, S.NegativeInfinity): + return S.Zero + elif z.could_extract_minus_sign(): + return -elliptic_f(-z, m) + + def fdiff(self, argindex=1): + z, m = self.args + fm = sqrt(1 - m*sin(z)**2) + if argindex == 1: + return 1/fm + elif argindex == 2: + return (elliptic_e(z, m)/(2*m*(1 - m)) - elliptic_f(z, m)/(2*m) - + sin(2*z)/(4*(1 - m)*fm)) + raise ArgumentIndexError(self, argindex) + + def _eval_conjugate(self): + z, m = self.args + if (m.is_real and (m - 1).is_positive) is False: + return self.func(z.conjugate(), m.conjugate()) + + def _eval_rewrite_as_Integral(self, *args, **kwargs): + from sympy.integrals.integrals import Integral + t = Dummy(uniquely_named_symbol('t', args).name) + z, m = self.args[0], self.args[1] + return Integral(1/(sqrt(1 - m*sin(t)**2)), (t, 0, z)) + + def _eval_is_zero(self): + z, m = self.args + if z.is_zero: + return True + if m.is_extended_real and m.is_infinite: + return True + + +class elliptic_e(DefinedFunction): + r""" + Called with two arguments $z$ and $m$, evaluates the + incomplete elliptic integral of the second kind, defined by + + .. math:: E\left(z\middle| m\right) = \int_0^z \sqrt{1 - m \sin^2 t} dt + + Called with a single argument $m$, evaluates the Legendre complete + elliptic integral of the second kind + + .. math:: E(m) = E\left(\tfrac{\pi}{2}\middle| m\right) + + Explanation + =========== + + The function $E(m)$ is a single-valued function on the complex + plane with branch cut along the interval $(1, \infty)$. + + Note that our notation defines the incomplete elliptic integral + in terms of the parameter $m$ instead of the elliptic modulus + (eccentricity) $k$. + In this case, the parameter $m$ is defined as $m=k^2$. + + Examples + ======== + + >>> from sympy import elliptic_e, I + >>> from sympy.abc import z, m + >>> elliptic_e(z, m).series(z) + z + z**5*(-m**2/40 + m/30) - m*z**3/6 + O(z**6) + >>> elliptic_e(m).series(n=4) + pi/2 - pi*m/8 - 3*pi*m**2/128 - 5*pi*m**3/512 + O(m**4) + >>> elliptic_e(1 + I, 2 - I/2).n() + 1.55203744279187 + 0.290764986058437*I + >>> elliptic_e(0) + pi/2 + >>> elliptic_e(2.0 - I) + 0.991052601328069 + 0.81879421395609*I + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Elliptic_integrals + .. [2] https://functions.wolfram.com/EllipticIntegrals/EllipticE2 + .. [3] https://functions.wolfram.com/EllipticIntegrals/EllipticE + + """ + + @classmethod + def eval(cls, m, z=None): + if z is not None: + z, m = m, z + k = 2*z/pi + if m.is_zero: + return z + if z.is_zero: + return S.Zero + elif k.is_integer: + return k*elliptic_e(m) + elif m in (S.Infinity, S.NegativeInfinity): + return S.ComplexInfinity + elif z.could_extract_minus_sign(): + return -elliptic_e(-z, m) + else: + if m.is_zero: + return pi/2 + elif m is S.One: + return S.One + elif m is S.Infinity: + return I*S.Infinity + elif m is S.NegativeInfinity: + return S.Infinity + elif m is S.ComplexInfinity: + return S.ComplexInfinity + + def fdiff(self, argindex=1): + if len(self.args) == 2: + z, m = self.args + if argindex == 1: + return sqrt(1 - m*sin(z)**2) + elif argindex == 2: + return (elliptic_e(z, m) - elliptic_f(z, m))/(2*m) + else: + m = self.args[0] + if argindex == 1: + return (elliptic_e(m) - elliptic_k(m))/(2*m) + raise ArgumentIndexError(self, argindex) + + def _eval_conjugate(self): + if len(self.args) == 2: + z, m = self.args + if (m.is_real and (m - 1).is_positive) is False: + return self.func(z.conjugate(), m.conjugate()) + else: + m = self.args[0] + if (m.is_real and (m - 1).is_positive) is False: + return self.func(m.conjugate()) + + def _eval_nseries(self, x, n, logx, cdir=0): + from sympy.simplify import hyperexpand + if len(self.args) == 1: + return hyperexpand(self.rewrite(hyper)._eval_nseries(x, n=n, logx=logx)) + return super()._eval_nseries(x, n=n, logx=logx) + + def _eval_rewrite_as_hyper(self, *args, **kwargs): + if len(args) == 1: + m = args[0] + return (pi/2)*hyper((Rational(-1, 2), S.Half), (S.One,), m) + + def _eval_rewrite_as_meijerg(self, *args, **kwargs): + if len(args) == 1: + m = args[0] + return -meijerg(((S.Half, Rational(3, 2)), []), \ + ((S.Zero,), (S.Zero,)), -m)/4 + + def _eval_rewrite_as_Integral(self, *args, **kwargs): + from sympy.integrals.integrals import Integral + z, m = (pi/2, self.args[0]) if len(self.args) == 1 else self.args + t = Dummy(uniquely_named_symbol('t', args).name) + return Integral(sqrt(1 - m*sin(t)**2), (t, 0, z)) + + +class elliptic_pi(DefinedFunction): + r""" + Called with three arguments $n$, $z$ and $m$, evaluates the + Legendre incomplete elliptic integral of the third kind, defined by + + .. math:: \Pi\left(n; z\middle| m\right) = \int_0^z \frac{dt} + {\left(1 - n \sin^2 t\right) \sqrt{1 - m \sin^2 t}} + + Called with two arguments $n$ and $m$, evaluates the complete + elliptic integral of the third kind: + + .. math:: \Pi\left(n\middle| m\right) = + \Pi\left(n; \tfrac{\pi}{2}\middle| m\right) + + Explanation + =========== + + Note that our notation defines the incomplete elliptic integral + in terms of the parameter $m$ instead of the elliptic modulus + (eccentricity) $k$. + In this case, the parameter $m$ is defined as $m=k^2$. + + Examples + ======== + + >>> from sympy import elliptic_pi, I + >>> from sympy.abc import z, n, m + >>> elliptic_pi(n, z, m).series(z, n=4) + z + z**3*(m/6 + n/3) + O(z**4) + >>> elliptic_pi(0.5 + I, 1.0 - I, 1.2) + 2.50232379629182 - 0.760939574180767*I + >>> elliptic_pi(0, 0) + pi/2 + >>> elliptic_pi(1.0 - I/3, 2.0 + I) + 3.29136443417283 + 0.32555634906645*I + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Elliptic_integrals + .. [2] https://functions.wolfram.com/EllipticIntegrals/EllipticPi3 + .. [3] https://functions.wolfram.com/EllipticIntegrals/EllipticPi + + """ + + @classmethod + def eval(cls, n, m, z=None): + if z is not None: + z, m = m, z + if n.is_zero: + return elliptic_f(z, m) + elif n is S.One: + return (elliptic_f(z, m) + + (sqrt(1 - m*sin(z)**2)*tan(z) - + elliptic_e(z, m))/(1 - m)) + k = 2*z/pi + if k.is_integer: + return k*elliptic_pi(n, m) + elif m.is_zero: + return atanh(sqrt(n - 1)*tan(z))/sqrt(n - 1) + elif n == m: + return (elliptic_f(z, n) - elliptic_pi(1, z, n) + + tan(z)/sqrt(1 - n*sin(z)**2)) + elif n in (S.Infinity, S.NegativeInfinity): + return S.Zero + elif m in (S.Infinity, S.NegativeInfinity): + return S.Zero + elif z.could_extract_minus_sign(): + return -elliptic_pi(n, -z, m) + if n.is_zero: + return elliptic_f(z, m) + if m.is_extended_real and m.is_infinite or \ + n.is_extended_real and n.is_infinite: + return S.Zero + else: + if n.is_zero: + return elliptic_k(m) + elif n is S.One: + return S.ComplexInfinity + elif m.is_zero: + return pi/(2*sqrt(1 - n)) + elif m == S.One: + return S.NegativeInfinity/sign(n - 1) + elif n == m: + return elliptic_e(n)/(1 - n) + elif n in (S.Infinity, S.NegativeInfinity): + return S.Zero + elif m in (S.Infinity, S.NegativeInfinity): + return S.Zero + if n.is_zero: + return elliptic_k(m) + if m.is_extended_real and m.is_infinite or \ + n.is_extended_real and n.is_infinite: + return S.Zero + + def _eval_conjugate(self): + if len(self.args) == 3: + n, z, m = self.args + if (n.is_real and (n - 1).is_positive) is False and \ + (m.is_real and (m - 1).is_positive) is False: + return self.func(n.conjugate(), z.conjugate(), m.conjugate()) + else: + n, m = self.args + return self.func(n.conjugate(), m.conjugate()) + + def fdiff(self, argindex=1): + if len(self.args) == 3: + n, z, m = self.args + fm, fn = sqrt(1 - m*sin(z)**2), 1 - n*sin(z)**2 + if argindex == 1: + return (elliptic_e(z, m) + (m - n)*elliptic_f(z, m)/n + + (n**2 - m)*elliptic_pi(n, z, m)/n - + n*fm*sin(2*z)/(2*fn))/(2*(m - n)*(n - 1)) + elif argindex == 2: + return 1/(fm*fn) + elif argindex == 3: + return (elliptic_e(z, m)/(m - 1) + + elliptic_pi(n, z, m) - + m*sin(2*z)/(2*(m - 1)*fm))/(2*(n - m)) + else: + n, m = self.args + if argindex == 1: + return (elliptic_e(m) + (m - n)*elliptic_k(m)/n + + (n**2 - m)*elliptic_pi(n, m)/n)/(2*(m - n)*(n - 1)) + elif argindex == 2: + return (elliptic_e(m)/(m - 1) + elliptic_pi(n, m))/(2*(n - m)) + raise ArgumentIndexError(self, argindex) + + def _eval_rewrite_as_Integral(self, *args, **kwargs): + from sympy.integrals.integrals import Integral + if len(self.args) == 2: + n, m, z = self.args[0], self.args[1], pi/2 + else: + n, z, m = self.args + t = Dummy(uniquely_named_symbol('t', args).name) + return Integral(1/((1 - n*sin(t)**2)*sqrt(1 - m*sin(t)**2)), (t, 0, z)) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/error_functions.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/error_functions.py new file mode 100644 index 0000000000000000000000000000000000000000..a778127d8b80583a892285fadbb8230f72de39f9 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/error_functions.py @@ -0,0 +1,2801 @@ +""" This module contains various functions that are special cases + of incomplete gamma functions. It should probably be renamed. """ + +from sympy.core import EulerGamma # Must be imported from core, not core.numbers +from sympy.core.add import Add +from sympy.core.cache import cacheit +from sympy.core.function import DefinedFunction, ArgumentIndexError, expand_mul +from sympy.core.logic import fuzzy_or +from sympy.core.numbers import I, pi, Rational, Integer +from sympy.core.relational import is_eq +from sympy.core.power import Pow +from sympy.core.singleton import S +from sympy.core.symbol import Dummy, uniquely_named_symbol +from sympy.core.sympify import sympify +from sympy.functions.combinatorial.factorials import factorial, factorial2, RisingFactorial +from sympy.functions.elementary.complexes import polar_lift, re, unpolarify +from sympy.functions.elementary.integers import ceiling, floor +from sympy.functions.elementary.miscellaneous import sqrt, root +from sympy.functions.elementary.exponential import exp, log, exp_polar +from sympy.functions.elementary.hyperbolic import cosh, sinh +from sympy.functions.elementary.trigonometric import cos, sin, sinc +from sympy.functions.special.hyper import hyper, meijerg + +# TODO series expansions +# TODO see the "Note:" in Ei + +# Helper function +def real_to_real_as_real_imag(self, deep=True, **hints): + if self.args[0].is_extended_real: + if deep: + hints['complex'] = False + return (self.expand(deep, **hints), S.Zero) + else: + return (self, S.Zero) + if deep: + x, y = self.args[0].expand(deep, **hints).as_real_imag() + else: + x, y = self.args[0].as_real_imag() + re = (self.func(x + I*y) + self.func(x - I*y))/2 + im = (self.func(x + I*y) - self.func(x - I*y))/(2*I) + return (re, im) + + +############################################################################### +################################ ERROR FUNCTION ############################### +############################################################################### + + +class erf(DefinedFunction): + r""" + The Gauss error function. + + Explanation + =========== + + This function is defined as: + + .. math :: + \mathrm{erf}(x) = \frac{2}{\sqrt{\pi}} \int_0^x e^{-t^2} \mathrm{d}t. + + Examples + ======== + + >>> from sympy import I, oo, erf + >>> from sympy.abc import z + + Several special values are known: + + >>> erf(0) + 0 + >>> erf(oo) + 1 + >>> erf(-oo) + -1 + >>> erf(I*oo) + oo*I + >>> erf(-I*oo) + -oo*I + + In general one can pull out factors of -1 and $I$ from the argument: + + >>> erf(-z) + -erf(z) + + The error function obeys the mirror symmetry: + + >>> from sympy import conjugate + >>> conjugate(erf(z)) + erf(conjugate(z)) + + Differentiation with respect to $z$ is supported: + + >>> from sympy import diff + >>> diff(erf(z), z) + 2*exp(-z**2)/sqrt(pi) + + We can numerically evaluate the error function to arbitrary precision + on the whole complex plane: + + >>> erf(4).evalf(30) + 0.999999984582742099719981147840 + + >>> erf(-4*I).evalf(30) + -1296959.73071763923152794095062*I + + See Also + ======== + + erfc: Complementary error function. + erfi: Imaginary error function. + erf2: Two-argument error function. + erfinv: Inverse error function. + erfcinv: Inverse Complementary error function. + erf2inv: Inverse two-argument error function. + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Error_function + .. [2] https://dlmf.nist.gov/7 + .. [3] https://mathworld.wolfram.com/Erf.html + .. [4] https://functions.wolfram.com/GammaBetaErf/Erf + + """ + + unbranched = True + + def fdiff(self, argindex=1): + if argindex == 1: + return 2*exp(-self.args[0]**2)/sqrt(pi) + else: + raise ArgumentIndexError(self, argindex) + + + def inverse(self, argindex=1): + """ + Returns the inverse of this function. + + """ + return erfinv + + @classmethod + def eval(cls, arg): + if arg.is_Number: + if arg is S.NaN: + return S.NaN + elif arg is S.Infinity: + return S.One + elif arg is S.NegativeInfinity: + return S.NegativeOne + elif arg.is_zero: + return S.Zero + + if isinstance(arg, erfinv): + return arg.args[0] + + if isinstance(arg, erfcinv): + return S.One - arg.args[0] + + if arg.is_zero: + return S.Zero + + # Only happens with unevaluated erf2inv + if isinstance(arg, erf2inv) and arg.args[0].is_zero: + return arg.args[1] + + # Try to pull out factors of I + t = arg.extract_multiplicatively(I) + if t in (S.Infinity, S.NegativeInfinity): + return arg + + # Try to pull out factors of -1 + if arg.could_extract_minus_sign(): + return -cls(-arg) + + @staticmethod + @cacheit + def taylor_term(n, x, *previous_terms): + if n < 0 or n % 2 == 0: + return S.Zero + else: + x = sympify(x) + k = floor((n - 1)/S(2)) + if len(previous_terms) > 2: + return -previous_terms[-2] * x**2 * (n - 2)/(n*k) + else: + return 2*S.NegativeOne**k * x**n/(n*factorial(k)*sqrt(pi)) + + def _eval_conjugate(self): + return self.func(self.args[0].conjugate()) + + def _eval_is_real(self): + if self.args[0].is_extended_real is True: + return True + # There are cases where erf(z) becomes a real number + # even if z is a complex number + + def _eval_is_imaginary(self): + if self.args[0].is_imaginary is True: + return True + + def _eval_is_finite(self): + z = self.args[0] + return fuzzy_or([z.is_finite, z.is_extended_real]) + + def _eval_is_zero(self): + if self.args[0].is_extended_real is True: + return self.args[0].is_zero + + def _eval_is_positive(self): + if self.args[0].is_extended_real is True: + return self.args[0].is_extended_positive + + def _eval_is_negative(self): + if self.args[0].is_extended_real is True: + return self.args[0].is_extended_negative + + def _eval_rewrite_as_uppergamma(self, z, **kwargs): + from sympy.functions.special.gamma_functions import uppergamma + return sqrt(z**2)/z*(S.One - uppergamma(S.Half, z**2)/sqrt(pi)) + + def _eval_rewrite_as_fresnels(self, z, **kwargs): + arg = (S.One - I)*z/sqrt(pi) + return (S.One + I)*(fresnelc(arg) - I*fresnels(arg)) + + def _eval_rewrite_as_fresnelc(self, z, **kwargs): + arg = (S.One - I)*z/sqrt(pi) + return (S.One + I)*(fresnelc(arg) - I*fresnels(arg)) + + def _eval_rewrite_as_meijerg(self, z, **kwargs): + return z/sqrt(pi)*meijerg([S.Half], [], [0], [Rational(-1, 2)], z**2) + + def _eval_rewrite_as_hyper(self, z, **kwargs): + return 2*z/sqrt(pi)*hyper([S.Half], [3*S.Half], -z**2) + + def _eval_rewrite_as_expint(self, z, **kwargs): + return sqrt(z**2)/z - z*expint(S.Half, z**2)/sqrt(pi) + + def _eval_rewrite_as_tractable(self, z, limitvar=None, **kwargs): + from sympy.series.limits import limit + if limitvar: + lim = limit(z, limitvar, S.Infinity) + if lim is S.NegativeInfinity: + return S.NegativeOne + _erfs(-z)*exp(-z**2) + return S.One - _erfs(z)*exp(-z**2) + + def _eval_rewrite_as_erfc(self, z, **kwargs): + return S.One - erfc(z) + + def _eval_rewrite_as_erfi(self, z, **kwargs): + return -I*erfi(I*z) + + def _eval_as_leading_term(self, x, logx, cdir): + arg = self.args[0].as_leading_term(x, logx=logx, cdir=cdir) + arg0 = arg.subs(x, 0) + + if arg0 is S.ComplexInfinity: + arg0 = arg.limit(x, 0, dir='-' if cdir == -1 else '+') + if x in arg.free_symbols and arg0.is_zero: + return 2*arg/sqrt(pi) + else: + return self.func(arg0) + + def _eval_aseries(self, n, args0, x, logx): + from sympy.series.order import Order + point = args0[0] + + if point in [S.Infinity, S.NegativeInfinity]: + z = self.args[0] + + try: + _, ex = z.leadterm(x) + except (ValueError, NotImplementedError): + return self + + ex = -ex # as x->1/x for aseries + if ex.is_positive: + newn = ceiling(n/ex) + s = [S.NegativeOne**k * factorial2(2*k - 1) / (z**(2*k + 1) * 2**k) + for k in range(newn)] + [Order(1/z**newn, x)] + return S.One - (exp(-z**2)/sqrt(pi)) * Add(*s) + + return super(erf, self)._eval_aseries(n, args0, x, logx) + + as_real_imag = real_to_real_as_real_imag + + +class erfc(DefinedFunction): + r""" + Complementary Error Function. + + Explanation + =========== + + The function is defined as: + + .. math :: + \mathrm{erfc}(x) = \frac{2}{\sqrt{\pi}} \int_x^\infty e^{-t^2} \mathrm{d}t + + Examples + ======== + + >>> from sympy import I, oo, erfc + >>> from sympy.abc import z + + Several special values are known: + + >>> erfc(0) + 1 + >>> erfc(oo) + 0 + >>> erfc(-oo) + 2 + >>> erfc(I*oo) + -oo*I + >>> erfc(-I*oo) + oo*I + + The error function obeys the mirror symmetry: + + >>> from sympy import conjugate + >>> conjugate(erfc(z)) + erfc(conjugate(z)) + + Differentiation with respect to $z$ is supported: + + >>> from sympy import diff + >>> diff(erfc(z), z) + -2*exp(-z**2)/sqrt(pi) + + It also follows + + >>> erfc(-z) + 2 - erfc(z) + + We can numerically evaluate the complementary error function to arbitrary + precision on the whole complex plane: + + >>> erfc(4).evalf(30) + 0.0000000154172579002800188521596734869 + + >>> erfc(4*I).evalf(30) + 1.0 - 1296959.73071763923152794095062*I + + See Also + ======== + + erf: Gaussian error function. + erfi: Imaginary error function. + erf2: Two-argument error function. + erfinv: Inverse error function. + erfcinv: Inverse Complementary error function. + erf2inv: Inverse two-argument error function. + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Error_function + .. [2] https://dlmf.nist.gov/7 + .. [3] https://mathworld.wolfram.com/Erfc.html + .. [4] https://functions.wolfram.com/GammaBetaErf/Erfc + + """ + + unbranched = True + + def fdiff(self, argindex=1): + if argindex == 1: + return -2*exp(-self.args[0]**2)/sqrt(pi) + else: + raise ArgumentIndexError(self, argindex) + + def inverse(self, argindex=1): + """ + Returns the inverse of this function. + + """ + return erfcinv + + @classmethod + def eval(cls, arg): + if arg.is_Number: + if arg is S.NaN: + return S.NaN + elif arg is S.Infinity: + return S.Zero + elif arg.is_zero: + return S.One + + if isinstance(arg, erfinv): + return S.One - arg.args[0] + + if isinstance(arg, erfcinv): + return arg.args[0] + + if arg.is_zero: + return S.One + + # Try to pull out factors of I + t = arg.extract_multiplicatively(I) + if t in (S.Infinity, S.NegativeInfinity): + return -arg + + # Try to pull out factors of -1 + if arg.could_extract_minus_sign(): + return 2 - cls(-arg) + + @staticmethod + @cacheit + def taylor_term(n, x, *previous_terms): + if n == 0: + return S.One + elif n < 0 or n % 2 == 0: + return S.Zero + else: + x = sympify(x) + k = floor((n - 1)/S(2)) + if len(previous_terms) > 2: + return -previous_terms[-2] * x**2 * (n - 2)/(n*k) + else: + return -2*S.NegativeOne**k * x**n/(n*factorial(k)*sqrt(pi)) + + def _eval_conjugate(self): + return self.func(self.args[0].conjugate()) + + def _eval_is_real(self): + if self.args[0].is_extended_real is True: + return True + if self.args[0].is_imaginary is True: + return False + + def _eval_rewrite_as_tractable(self, z, limitvar=None, **kwargs): + return self.rewrite(erf).rewrite("tractable", deep=True, limitvar=limitvar) + + def _eval_rewrite_as_erf(self, z, **kwargs): + return S.One - erf(z) + + def _eval_rewrite_as_erfi(self, z, **kwargs): + return S.One + I*erfi(I*z) + + def _eval_rewrite_as_fresnels(self, z, **kwargs): + arg = (S.One - I)*z/sqrt(pi) + return S.One - (S.One + I)*(fresnelc(arg) - I*fresnels(arg)) + + def _eval_rewrite_as_fresnelc(self, z, **kwargs): + arg = (S.One-I)*z/sqrt(pi) + return S.One - (S.One + I)*(fresnelc(arg) - I*fresnels(arg)) + + def _eval_rewrite_as_meijerg(self, z, **kwargs): + return S.One - z/sqrt(pi)*meijerg([S.Half], [], [0], [Rational(-1, 2)], z**2) + + def _eval_rewrite_as_hyper(self, z, **kwargs): + return S.One - 2*z/sqrt(pi)*hyper([S.Half], [3*S.Half], -z**2) + + def _eval_rewrite_as_uppergamma(self, z, **kwargs): + from sympy.functions.special.gamma_functions import uppergamma + return S.One - sqrt(z**2)/z*(S.One - uppergamma(S.Half, z**2)/sqrt(pi)) + + def _eval_rewrite_as_expint(self, z, **kwargs): + return S.One - sqrt(z**2)/z + z*expint(S.Half, z**2)/sqrt(pi) + + def _eval_expand_func(self, **hints): + return self.rewrite(erf) + + def _eval_as_leading_term(self, x, logx, cdir): + arg = self.args[0].as_leading_term(x, logx=logx, cdir=cdir) + arg0 = arg.subs(x, 0) + + if arg0 is S.ComplexInfinity: + arg0 = arg.limit(x, 0, dir='-' if cdir == -1 else '+') + if arg0.is_zero: + return S.One + else: + return self.func(arg0) + + as_real_imag = real_to_real_as_real_imag + + def _eval_aseries(self, n, args0, x, logx): + return S.One - erf(*self.args)._eval_aseries(n, args0, x, logx) + + +class erfi(DefinedFunction): + r""" + Imaginary error function. + + Explanation + =========== + + The function erfi is defined as: + + .. math :: + \mathrm{erfi}(x) = \frac{2}{\sqrt{\pi}} \int_0^x e^{t^2} \mathrm{d}t + + Examples + ======== + + >>> from sympy import I, oo, erfi + >>> from sympy.abc import z + + Several special values are known: + + >>> erfi(0) + 0 + >>> erfi(oo) + oo + >>> erfi(-oo) + -oo + >>> erfi(I*oo) + I + >>> erfi(-I*oo) + -I + + In general one can pull out factors of -1 and $I$ from the argument: + + >>> erfi(-z) + -erfi(z) + + >>> from sympy import conjugate + >>> conjugate(erfi(z)) + erfi(conjugate(z)) + + Differentiation with respect to $z$ is supported: + + >>> from sympy import diff + >>> diff(erfi(z), z) + 2*exp(z**2)/sqrt(pi) + + We can numerically evaluate the imaginary error function to arbitrary + precision on the whole complex plane: + + >>> erfi(2).evalf(30) + 18.5648024145755525987042919132 + + >>> erfi(-2*I).evalf(30) + -0.995322265018952734162069256367*I + + See Also + ======== + + erf: Gaussian error function. + erfc: Complementary error function. + erf2: Two-argument error function. + erfinv: Inverse error function. + erfcinv: Inverse Complementary error function. + erf2inv: Inverse two-argument error function. + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Error_function + .. [2] https://mathworld.wolfram.com/Erfi.html + .. [3] https://functions.wolfram.com/GammaBetaErf/Erfi + + """ + + unbranched = True + + def fdiff(self, argindex=1): + if argindex == 1: + return 2*exp(self.args[0]**2)/sqrt(pi) + else: + raise ArgumentIndexError(self, argindex) + + @classmethod + def eval(cls, z): + if z.is_Number: + if z is S.NaN: + return S.NaN + elif z.is_zero: + return S.Zero + elif z is S.Infinity: + return S.Infinity + + if z.is_zero: + return S.Zero + + # Try to pull out factors of -1 + if z.could_extract_minus_sign(): + return -cls(-z) + + # Try to pull out factors of I + nz = z.extract_multiplicatively(I) + if nz is not None: + if nz is S.Infinity: + return I + if isinstance(nz, erfinv): + return I*nz.args[0] + if isinstance(nz, erfcinv): + return I*(S.One - nz.args[0]) + # Only happens with unevaluated erf2inv + if isinstance(nz, erf2inv) and nz.args[0].is_zero: + return I*nz.args[1] + + @staticmethod + @cacheit + def taylor_term(n, x, *previous_terms): + if n < 0 or n % 2 == 0: + return S.Zero + else: + x = sympify(x) + k = floor((n - 1)/S(2)) + if len(previous_terms) > 2: + return previous_terms[-2] * x**2 * (n - 2)/(n*k) + else: + return 2 * x**n/(n*factorial(k)*sqrt(pi)) + + def _eval_conjugate(self): + return self.func(self.args[0].conjugate()) + + def _eval_is_extended_real(self): + return self.args[0].is_extended_real + + def _eval_is_zero(self): + return self.args[0].is_zero + + def _eval_rewrite_as_tractable(self, z, limitvar=None, **kwargs): + return self.rewrite(erf).rewrite("tractable", deep=True, limitvar=limitvar) + + def _eval_rewrite_as_erf(self, z, **kwargs): + return -I*erf(I*z) + + def _eval_rewrite_as_erfc(self, z, **kwargs): + return I*erfc(I*z) - I + + def _eval_rewrite_as_fresnels(self, z, **kwargs): + arg = (S.One + I)*z/sqrt(pi) + return (S.One - I)*(fresnelc(arg) - I*fresnels(arg)) + + def _eval_rewrite_as_fresnelc(self, z, **kwargs): + arg = (S.One + I)*z/sqrt(pi) + return (S.One - I)*(fresnelc(arg) - I*fresnels(arg)) + + def _eval_rewrite_as_meijerg(self, z, **kwargs): + return z/sqrt(pi)*meijerg([S.Half], [], [0], [Rational(-1, 2)], -z**2) + + def _eval_rewrite_as_hyper(self, z, **kwargs): + return 2*z/sqrt(pi)*hyper([S.Half], [3*S.Half], z**2) + + def _eval_rewrite_as_uppergamma(self, z, **kwargs): + from sympy.functions.special.gamma_functions import uppergamma + return sqrt(-z**2)/z*(uppergamma(S.Half, -z**2)/sqrt(pi) - S.One) + + def _eval_rewrite_as_expint(self, z, **kwargs): + return sqrt(-z**2)/z - z*expint(S.Half, -z**2)/sqrt(pi) + + def _eval_expand_func(self, **hints): + return self.rewrite(erf) + + as_real_imag = real_to_real_as_real_imag + + def _eval_as_leading_term(self, x, logx, cdir): + arg = self.args[0].as_leading_term(x, logx=logx, cdir=cdir) + arg0 = arg.subs(x, 0) + + if x in arg.free_symbols and arg0.is_zero: + return 2*arg/sqrt(pi) + elif arg0.is_finite: + return self.func(arg0) + return self.func(arg) + + def _eval_aseries(self, n, args0, x, logx): + from sympy.series.order import Order + point = args0[0] + + if point is S.Infinity: + z = self.args[0] + s = [factorial2(2*k - 1) / (2**k * z**(2*k + 1)) + for k in range(n)] + [Order(1/z**n, x)] + return -I + (exp(z**2)/sqrt(pi)) * Add(*s) + + return super(erfi, self)._eval_aseries(n, args0, x, logx) + + +class erf2(DefinedFunction): + r""" + Two-argument error function. + + Explanation + =========== + + This function is defined as: + + .. math :: + \mathrm{erf2}(x, y) = \frac{2}{\sqrt{\pi}} \int_x^y e^{-t^2} \mathrm{d}t + + Examples + ======== + + >>> from sympy import oo, erf2 + >>> from sympy.abc import x, y + + Several special values are known: + + >>> erf2(0, 0) + 0 + >>> erf2(x, x) + 0 + >>> erf2(x, oo) + 1 - erf(x) + >>> erf2(x, -oo) + -erf(x) - 1 + >>> erf2(oo, y) + erf(y) - 1 + >>> erf2(-oo, y) + erf(y) + 1 + + In general one can pull out factors of -1: + + >>> erf2(-x, -y) + -erf2(x, y) + + The error function obeys the mirror symmetry: + + >>> from sympy import conjugate + >>> conjugate(erf2(x, y)) + erf2(conjugate(x), conjugate(y)) + + Differentiation with respect to $x$, $y$ is supported: + + >>> from sympy import diff + >>> diff(erf2(x, y), x) + -2*exp(-x**2)/sqrt(pi) + >>> diff(erf2(x, y), y) + 2*exp(-y**2)/sqrt(pi) + + See Also + ======== + + erf: Gaussian error function. + erfc: Complementary error function. + erfi: Imaginary error function. + erfinv: Inverse error function. + erfcinv: Inverse Complementary error function. + erf2inv: Inverse two-argument error function. + + References + ========== + + .. [1] https://functions.wolfram.com/GammaBetaErf/Erf2/ + + """ + + + def fdiff(self, argindex): + x, y = self.args + if argindex == 1: + return -2*exp(-x**2)/sqrt(pi) + elif argindex == 2: + return 2*exp(-y**2)/sqrt(pi) + else: + raise ArgumentIndexError(self, argindex) + + @classmethod + def eval(cls, x, y): + chk = (S.Infinity, S.NegativeInfinity, S.Zero) + if x is S.NaN or y is S.NaN: + return S.NaN + elif x == y: + return S.Zero + elif x in chk or y in chk: + return erf(y) - erf(x) + + if isinstance(y, erf2inv) and y.args[0] == x: + return y.args[1] + + if x.is_zero or y.is_zero or x.is_extended_real and x.is_infinite or \ + y.is_extended_real and y.is_infinite: + return erf(y) - erf(x) + + #Try to pull out -1 factor + sign_x = x.could_extract_minus_sign() + sign_y = y.could_extract_minus_sign() + if (sign_x and sign_y): + return -cls(-x, -y) + elif (sign_x or sign_y): + return erf(y)-erf(x) + + def _eval_conjugate(self): + return self.func(self.args[0].conjugate(), self.args[1].conjugate()) + + def _eval_is_extended_real(self): + return self.args[0].is_extended_real and self.args[1].is_extended_real + + def _eval_rewrite_as_erf(self, x, y, **kwargs): + return erf(y) - erf(x) + + def _eval_rewrite_as_erfc(self, x, y, **kwargs): + return erfc(x) - erfc(y) + + def _eval_rewrite_as_erfi(self, x, y, **kwargs): + return I*(erfi(I*x)-erfi(I*y)) + + def _eval_rewrite_as_fresnels(self, x, y, **kwargs): + return erf(y).rewrite(fresnels) - erf(x).rewrite(fresnels) + + def _eval_rewrite_as_fresnelc(self, x, y, **kwargs): + return erf(y).rewrite(fresnelc) - erf(x).rewrite(fresnelc) + + def _eval_rewrite_as_meijerg(self, x, y, **kwargs): + return erf(y).rewrite(meijerg) - erf(x).rewrite(meijerg) + + def _eval_rewrite_as_hyper(self, x, y, **kwargs): + return erf(y).rewrite(hyper) - erf(x).rewrite(hyper) + + def _eval_rewrite_as_uppergamma(self, x, y, **kwargs): + from sympy.functions.special.gamma_functions import uppergamma + return (sqrt(y**2)/y*(S.One - uppergamma(S.Half, y**2)/sqrt(pi)) - + sqrt(x**2)/x*(S.One - uppergamma(S.Half, x**2)/sqrt(pi))) + + def _eval_rewrite_as_expint(self, x, y, **kwargs): + return erf(y).rewrite(expint) - erf(x).rewrite(expint) + + def _eval_expand_func(self, **hints): + return self.rewrite(erf) + + def _eval_is_zero(self): + return is_eq(*self.args) + +class erfinv(DefinedFunction): + r""" + Inverse Error Function. The erfinv function is defined as: + + .. math :: + \mathrm{erf}(x) = y \quad \Rightarrow \quad \mathrm{erfinv}(y) = x + + Examples + ======== + + >>> from sympy import erfinv + >>> from sympy.abc import x + + Several special values are known: + + >>> erfinv(0) + 0 + >>> erfinv(1) + oo + + Differentiation with respect to $x$ is supported: + + >>> from sympy import diff + >>> diff(erfinv(x), x) + sqrt(pi)*exp(erfinv(x)**2)/2 + + We can numerically evaluate the inverse error function to arbitrary + precision on [-1, 1]: + + >>> erfinv(0.2).evalf(30) + 0.179143454621291692285822705344 + + See Also + ======== + + erf: Gaussian error function. + erfc: Complementary error function. + erfi: Imaginary error function. + erf2: Two-argument error function. + erfcinv: Inverse Complementary error function. + erf2inv: Inverse two-argument error function. + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Error_function#Inverse_functions + .. [2] https://functions.wolfram.com/GammaBetaErf/InverseErf/ + + """ + + + def fdiff(self, argindex =1): + if argindex == 1: + return sqrt(pi)*exp(self.func(self.args[0])**2)*S.Half + else : + raise ArgumentIndexError(self, argindex) + + def inverse(self, argindex=1): + """ + Returns the inverse of this function. + + """ + return erf + + @classmethod + def eval(cls, z): + if z is S.NaN: + return S.NaN + elif z is S.NegativeOne: + return S.NegativeInfinity + elif z.is_zero: + return S.Zero + elif z is S.One: + return S.Infinity + + if isinstance(z, erf) and z.args[0].is_extended_real: + return z.args[0] + + if z.is_zero: + return S.Zero + + # Try to pull out factors of -1 + nz = z.extract_multiplicatively(-1) + if nz is not None and (isinstance(nz, erf) and (nz.args[0]).is_extended_real): + return -nz.args[0] + + def _eval_rewrite_as_erfcinv(self, z, **kwargs): + return erfcinv(1-z) + + def _eval_is_zero(self): + return self.args[0].is_zero + + +class erfcinv (DefinedFunction): + r""" + Inverse Complementary Error Function. The erfcinv function is defined as: + + .. math :: + \mathrm{erfc}(x) = y \quad \Rightarrow \quad \mathrm{erfcinv}(y) = x + + Examples + ======== + + >>> from sympy import erfcinv + >>> from sympy.abc import x + + Several special values are known: + + >>> erfcinv(1) + 0 + >>> erfcinv(0) + oo + + Differentiation with respect to $x$ is supported: + + >>> from sympy import diff + >>> diff(erfcinv(x), x) + -sqrt(pi)*exp(erfcinv(x)**2)/2 + + See Also + ======== + + erf: Gaussian error function. + erfc: Complementary error function. + erfi: Imaginary error function. + erf2: Two-argument error function. + erfinv: Inverse error function. + erf2inv: Inverse two-argument error function. + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Error_function#Inverse_functions + .. [2] https://functions.wolfram.com/GammaBetaErf/InverseErfc/ + + """ + + + def fdiff(self, argindex =1): + if argindex == 1: + return -sqrt(pi)*exp(self.func(self.args[0])**2)*S.Half + else: + raise ArgumentIndexError(self, argindex) + + def inverse(self, argindex=1): + """ + Returns the inverse of this function. + + """ + return erfc + + @classmethod + def eval(cls, z): + if z is S.NaN: + return S.NaN + elif z.is_zero: + return S.Infinity + elif z is S.One: + return S.Zero + elif z == 2: + return S.NegativeInfinity + + if z.is_zero: + return S.Infinity + + def _eval_rewrite_as_erfinv(self, z, **kwargs): + return erfinv(1-z) + + def _eval_is_zero(self): + return (self.args[0] - 1).is_zero + + def _eval_is_infinite(self): + z = self.args[0] + return fuzzy_or([z.is_zero, is_eq(z, Integer(2))]) + + +class erf2inv(DefinedFunction): + r""" + Two-argument Inverse error function. The erf2inv function is defined as: + + .. math :: + \mathrm{erf2}(x, w) = y \quad \Rightarrow \quad \mathrm{erf2inv}(x, y) = w + + Examples + ======== + + >>> from sympy import erf2inv, oo + >>> from sympy.abc import x, y + + Several special values are known: + + >>> erf2inv(0, 0) + 0 + >>> erf2inv(1, 0) + 1 + >>> erf2inv(0, 1) + oo + >>> erf2inv(0, y) + erfinv(y) + >>> erf2inv(oo, y) + erfcinv(-y) + + Differentiation with respect to $x$ and $y$ is supported: + + >>> from sympy import diff + >>> diff(erf2inv(x, y), x) + exp(-x**2 + erf2inv(x, y)**2) + >>> diff(erf2inv(x, y), y) + sqrt(pi)*exp(erf2inv(x, y)**2)/2 + + See Also + ======== + + erf: Gaussian error function. + erfc: Complementary error function. + erfi: Imaginary error function. + erf2: Two-argument error function. + erfinv: Inverse error function. + erfcinv: Inverse complementary error function. + + References + ========== + + .. [1] https://functions.wolfram.com/GammaBetaErf/InverseErf2/ + + """ + + + def fdiff(self, argindex): + x, y = self.args + if argindex == 1: + return exp(self.func(x,y)**2-x**2) + elif argindex == 2: + return sqrt(pi)*S.Half*exp(self.func(x,y)**2) + else: + raise ArgumentIndexError(self, argindex) + + @classmethod + def eval(cls, x, y): + if x is S.NaN or y is S.NaN: + return S.NaN + elif x.is_zero and y.is_zero: + return S.Zero + elif x.is_zero and y is S.One: + return S.Infinity + elif x is S.One and y.is_zero: + return S.One + elif x.is_zero: + return erfinv(y) + elif x is S.Infinity: + return erfcinv(-y) + elif y.is_zero: + return x + elif y is S.Infinity: + return erfinv(x) + + if x.is_zero: + if y.is_zero: + return S.Zero + else: + return erfinv(y) + if y.is_zero: + return x + + def _eval_is_zero(self): + x, y = self.args + if x.is_zero and y.is_zero: + return True + +############################################################################### +#################### EXPONENTIAL INTEGRALS #################################### +############################################################################### + +class Ei(DefinedFunction): + r""" + The classical exponential integral. + + Explanation + =========== + + For use in SymPy, this function is defined as + + .. math:: \operatorname{Ei}(x) = \sum_{n=1}^\infty \frac{x^n}{n\, n!} + + \log(x) + \gamma, + + where $\gamma$ is the Euler-Mascheroni constant. + + If $x$ is a polar number, this defines an analytic function on the + Riemann surface of the logarithm. Otherwise this defines an analytic + function in the cut plane $\mathbb{C} \setminus (-\infty, 0]$. + + **Background** + + The name exponential integral comes from the following statement: + + .. math:: \operatorname{Ei}(x) = \int_{-\infty}^x \frac{e^t}{t} \mathrm{d}t + + If the integral is interpreted as a Cauchy principal value, this statement + holds for $x > 0$ and $\operatorname{Ei}(x)$ as defined above. + + Examples + ======== + + >>> from sympy import Ei, polar_lift, exp_polar, I, pi + >>> from sympy.abc import x + + >>> Ei(-1) + Ei(-1) + + This yields a real value: + + >>> Ei(-1).n(chop=True) + -0.219383934395520 + + On the other hand the analytic continuation is not real: + + >>> Ei(polar_lift(-1)).n(chop=True) + -0.21938393439552 + 3.14159265358979*I + + The exponential integral has a logarithmic branch point at the origin: + + >>> Ei(x*exp_polar(2*I*pi)) + Ei(x) + 2*I*pi + + Differentiation is supported: + + >>> Ei(x).diff(x) + exp(x)/x + + The exponential integral is related to many other special functions. + For example: + + >>> from sympy import expint, Shi + >>> Ei(x).rewrite(expint) + -expint(1, x*exp_polar(I*pi)) - I*pi + >>> Ei(x).rewrite(Shi) + Chi(x) + Shi(x) + + See Also + ======== + + expint: Generalised exponential integral. + E1: Special case of the generalised exponential integral. + li: Logarithmic integral. + Li: Offset logarithmic integral. + Si: Sine integral. + Ci: Cosine integral. + Shi: Hyperbolic sine integral. + Chi: Hyperbolic cosine integral. + uppergamma: Upper incomplete gamma function. + + References + ========== + + .. [1] https://dlmf.nist.gov/6.6 + .. [2] https://en.wikipedia.org/wiki/Exponential_integral + .. [3] Abramowitz & Stegun, section 5: https://web.archive.org/web/20201128173312/http://people.math.sfu.ca/~cbm/aands/page_228.htm + + """ + + + @classmethod + def eval(cls, z): + if z.is_zero: + return S.NegativeInfinity + elif z is S.Infinity: + return S.Infinity + elif z is S.NegativeInfinity: + return S.Zero + + if z.is_zero: + return S.NegativeInfinity + + nz, n = z.extract_branch_factor() + if n: + return Ei(nz) + 2*I*pi*n + + def fdiff(self, argindex=1): + arg = unpolarify(self.args[0]) + if argindex == 1: + return exp(arg)/arg + else: + raise ArgumentIndexError(self, argindex) + + def _eval_evalf(self, prec): + if (self.args[0]/polar_lift(-1)).is_positive: + return super()._eval_evalf(prec) + (I*pi)._eval_evalf(prec) + return super()._eval_evalf(prec) + + def _eval_rewrite_as_uppergamma(self, z, **kwargs): + from sympy.functions.special.gamma_functions import uppergamma + # XXX this does not currently work usefully because uppergamma + # immediately turns into expint + return -uppergamma(0, polar_lift(-1)*z) - I*pi + + def _eval_rewrite_as_expint(self, z, **kwargs): + return -expint(1, polar_lift(-1)*z) - I*pi + + def _eval_rewrite_as_li(self, z, **kwargs): + if isinstance(z, log): + return li(z.args[0]) + # TODO: + # Actually it only holds that: + # Ei(z) = li(exp(z)) + # for -pi < imag(z) <= pi + return li(exp(z)) + + def _eval_rewrite_as_Si(self, z, **kwargs): + if z.is_negative: + return Shi(z) + Chi(z) - I*pi + else: + return Shi(z) + Chi(z) + _eval_rewrite_as_Ci = _eval_rewrite_as_Si + _eval_rewrite_as_Chi = _eval_rewrite_as_Si + _eval_rewrite_as_Shi = _eval_rewrite_as_Si + + def _eval_rewrite_as_tractable(self, z, limitvar=None, **kwargs): + return exp(z) * _eis(z) + + def _eval_rewrite_as_Integral(self, z, **kwargs): + from sympy.integrals.integrals import Integral + t = Dummy(uniquely_named_symbol('t', [z]).name) + return Integral(S.Exp1**t/t, (t, S.NegativeInfinity, z)) + + def _eval_as_leading_term(self, x, logx, cdir): + from sympy import re + x0 = self.args[0].limit(x, 0) + arg = self.args[0].as_leading_term(x, cdir=cdir) + cdir = arg.dir(x, cdir) + if x0.is_zero: + c, e = arg.as_coeff_exponent(x) + logx = log(x) if logx is None else logx + return log(c) + e*logx + EulerGamma - ( + I*pi if re(cdir).is_negative else S.Zero) + return super()._eval_as_leading_term(x, logx=logx, cdir=cdir) + + def _eval_nseries(self, x, n, logx, cdir=0): + x0 = self.args[0].limit(x, 0) + if x0.is_zero: + f = self._eval_rewrite_as_Si(*self.args) + return f._eval_nseries(x, n, logx) + return super()._eval_nseries(x, n, logx) + + def _eval_aseries(self, n, args0, x, logx): + from sympy.series.order import Order + point = args0[0] + + if point in (S.Infinity, S.NegativeInfinity): + z = self.args[0] + s = [factorial(k) / (z)**k for k in range(n)] + \ + [Order(1/z**n, x)] + return (exp(z)/z) * Add(*s) + + return super(Ei, self)._eval_aseries(n, args0, x, logx) + + +class expint(DefinedFunction): + r""" + Generalized exponential integral. + + Explanation + =========== + + This function is defined as + + .. math:: \operatorname{E}_\nu(z) = z^{\nu - 1} \Gamma(1 - \nu, z), + + where $\Gamma(1 - \nu, z)$ is the upper incomplete gamma function + (``uppergamma``). + + Hence for $z$ with positive real part we have + + .. math:: \operatorname{E}_\nu(z) + = \int_1^\infty \frac{e^{-zt}}{t^\nu} \mathrm{d}t, + + which explains the name. + + The representation as an incomplete gamma function provides an analytic + continuation for $\operatorname{E}_\nu(z)$. If $\nu$ is a + non-positive integer, the exponential integral is thus an unbranched + function of $z$, otherwise there is a branch point at the origin. + Refer to the incomplete gamma function documentation for details of the + branching behavior. + + Examples + ======== + + >>> from sympy import expint, S + >>> from sympy.abc import nu, z + + Differentiation is supported. Differentiation with respect to $z$ further + explains the name: for integral orders, the exponential integral is an + iterated integral of the exponential function. + + >>> expint(nu, z).diff(z) + -expint(nu - 1, z) + + Differentiation with respect to $\nu$ has no classical expression: + + >>> expint(nu, z).diff(nu) + -z**(nu - 1)*meijerg(((), (1, 1)), ((0, 0, 1 - nu), ()), z) + + At non-postive integer orders, the exponential integral reduces to the + exponential function: + + >>> expint(0, z) + exp(-z)/z + >>> expint(-1, z) + exp(-z)/z + exp(-z)/z**2 + + At half-integers it reduces to error functions: + + >>> expint(S(1)/2, z) + sqrt(pi)*erfc(sqrt(z))/sqrt(z) + + At positive integer orders it can be rewritten in terms of exponentials + and ``expint(1, z)``. Use ``expand_func()`` to do this: + + >>> from sympy import expand_func + >>> expand_func(expint(5, z)) + z**4*expint(1, z)/24 + (-z**3 + z**2 - 2*z + 6)*exp(-z)/24 + + The generalised exponential integral is essentially equivalent to the + incomplete gamma function: + + >>> from sympy import uppergamma + >>> expint(nu, z).rewrite(uppergamma) + z**(nu - 1)*uppergamma(1 - nu, z) + + As such it is branched at the origin: + + >>> from sympy import exp_polar, pi, I + >>> expint(4, z*exp_polar(2*pi*I)) + I*pi*z**3/3 + expint(4, z) + >>> expint(nu, z*exp_polar(2*pi*I)) + z**(nu - 1)*(exp(2*I*pi*nu) - 1)*gamma(1 - nu) + expint(nu, z) + + See Also + ======== + + Ei: Another related function called exponential integral. + E1: The classical case, returns expint(1, z). + li: Logarithmic integral. + Li: Offset logarithmic integral. + Si: Sine integral. + Ci: Cosine integral. + Shi: Hyperbolic sine integral. + Chi: Hyperbolic cosine integral. + uppergamma + + References + ========== + + .. [1] https://dlmf.nist.gov/8.19 + .. [2] https://functions.wolfram.com/GammaBetaErf/ExpIntegralE/ + .. [3] https://en.wikipedia.org/wiki/Exponential_integral + + """ + + + @classmethod + def eval(cls, nu, z): + from sympy.functions.special.gamma_functions import (gamma, uppergamma) + nu2 = unpolarify(nu) + if nu != nu2: + return expint(nu2, z) + if nu.is_Integer and nu <= 0 or (not nu.is_Integer and (2*nu).is_Integer): + return unpolarify(expand_mul(z**(nu - 1)*uppergamma(1 - nu, z))) + + # Extract branching information. This can be deduced from what is + # explained in lowergamma.eval(). + z, n = z.extract_branch_factor() + if n is S.Zero: + return + if nu.is_integer: + if not nu > 0: + return + return expint(nu, z) \ + - 2*pi*I*n*S.NegativeOne**(nu - 1)/factorial(nu - 1)*unpolarify(z)**(nu - 1) + else: + return (exp(2*I*pi*nu*n) - 1)*z**(nu - 1)*gamma(1 - nu) + expint(nu, z) + + def fdiff(self, argindex): + nu, z = self.args + if argindex == 1: + return -z**(nu - 1)*meijerg([], [1, 1], [0, 0, 1 - nu], [], z) + elif argindex == 2: + return -expint(nu - 1, z) + else: + raise ArgumentIndexError(self, argindex) + + def _eval_rewrite_as_uppergamma(self, nu, z, **kwargs): + from sympy.functions.special.gamma_functions import uppergamma + return z**(nu - 1)*uppergamma(1 - nu, z) + + def _eval_rewrite_as_Ei(self, nu, z, **kwargs): + if nu == 1: + return -Ei(z*exp_polar(-I*pi)) - I*pi + elif nu.is_Integer and nu > 1: + # DLMF, 8.19.7 + x = -unpolarify(z) + return x**(nu - 1)/factorial(nu - 1)*E1(z).rewrite(Ei) + \ + exp(x)/factorial(nu - 1) * \ + Add(*[factorial(nu - k - 2)*x**k for k in range(nu - 1)]) + else: + return self + + def _eval_expand_func(self, **hints): + return self.rewrite(Ei).rewrite(expint, **hints) + + def _eval_rewrite_as_Si(self, nu, z, **kwargs): + if nu != 1: + return self + return Shi(z) - Chi(z) + _eval_rewrite_as_Ci = _eval_rewrite_as_Si + _eval_rewrite_as_Chi = _eval_rewrite_as_Si + _eval_rewrite_as_Shi = _eval_rewrite_as_Si + + def _eval_nseries(self, x, n, logx, cdir=0): + if not self.args[0].has(x): + nu = self.args[0] + if nu == 1: + f = self._eval_rewrite_as_Si(*self.args) + return f._eval_nseries(x, n, logx) + elif nu.is_Integer and nu > 1: + f = self._eval_rewrite_as_Ei(*self.args) + return f._eval_nseries(x, n, logx) + return super()._eval_nseries(x, n, logx) + + def _eval_aseries(self, n, args0, x, logx): + from sympy.series.order import Order + point = args0[1] + nu = self.args[0] + + if point is S.Infinity: + z = self.args[1] + s = [S.NegativeOne**k * RisingFactorial(nu, k) / z**k for k in range(n)] + [Order(1/z**n, x)] + return (exp(-z)/z) * Add(*s) + + return super(expint, self)._eval_aseries(n, args0, x, logx) + + def _eval_rewrite_as_Integral(self, *args, **kwargs): + from sympy.integrals.integrals import Integral + n, x = self.args + t = Dummy(uniquely_named_symbol('t', args).name) + return Integral(t**-n * exp(-t*x), (t, 1, S.Infinity)) + + +def E1(z): + """ + Classical case of the generalized exponential integral. + + Explanation + =========== + + This is equivalent to ``expint(1, z)``. + + Examples + ======== + + >>> from sympy import E1 + >>> E1(0) + expint(1, 0) + + >>> E1(5) + expint(1, 5) + + See Also + ======== + + Ei: Exponential integral. + expint: Generalised exponential integral. + li: Logarithmic integral. + Li: Offset logarithmic integral. + Si: Sine integral. + Ci: Cosine integral. + Shi: Hyperbolic sine integral. + Chi: Hyperbolic cosine integral. + + """ + return expint(1, z) + + +class li(DefinedFunction): + r""" + The classical logarithmic integral. + + Explanation + =========== + + For use in SymPy, this function is defined as + + .. math:: \operatorname{li}(x) = \int_0^x \frac{1}{\log(t)} \mathrm{d}t \,. + + Examples + ======== + + >>> from sympy import I, oo, li + >>> from sympy.abc import z + + Several special values are known: + + >>> li(0) + 0 + >>> li(1) + -oo + >>> li(oo) + oo + + Differentiation with respect to $z$ is supported: + + >>> from sympy import diff + >>> diff(li(z), z) + 1/log(z) + + Defining the ``li`` function via an integral: + >>> from sympy import integrate + >>> integrate(li(z)) + z*li(z) - Ei(2*log(z)) + + >>> integrate(li(z),z) + z*li(z) - Ei(2*log(z)) + + + The logarithmic integral can also be defined in terms of ``Ei``: + + >>> from sympy import Ei + >>> li(z).rewrite(Ei) + Ei(log(z)) + >>> diff(li(z).rewrite(Ei), z) + 1/log(z) + + We can numerically evaluate the logarithmic integral to arbitrary precision + on the whole complex plane (except the singular points): + + >>> li(2).evalf(30) + 1.04516378011749278484458888919 + + >>> li(2*I).evalf(30) + 1.0652795784357498247001125598 + 3.08346052231061726610939702133*I + + We can even compute Soldner's constant by the help of mpmath: + + >>> from mpmath import findroot + >>> findroot(li, 2) + 1.45136923488338 + + Further transformations include rewriting ``li`` in terms of + the trigonometric integrals ``Si``, ``Ci``, ``Shi`` and ``Chi``: + + >>> from sympy import Si, Ci, Shi, Chi + >>> li(z).rewrite(Si) + -log(I*log(z)) - log(1/log(z))/2 + log(log(z))/2 + Ci(I*log(z)) + Shi(log(z)) + >>> li(z).rewrite(Ci) + -log(I*log(z)) - log(1/log(z))/2 + log(log(z))/2 + Ci(I*log(z)) + Shi(log(z)) + >>> li(z).rewrite(Shi) + -log(1/log(z))/2 + log(log(z))/2 + Chi(log(z)) - Shi(log(z)) + >>> li(z).rewrite(Chi) + -log(1/log(z))/2 + log(log(z))/2 + Chi(log(z)) - Shi(log(z)) + + See Also + ======== + + Li: Offset logarithmic integral. + Ei: Exponential integral. + expint: Generalised exponential integral. + E1: Special case of the generalised exponential integral. + Si: Sine integral. + Ci: Cosine integral. + Shi: Hyperbolic sine integral. + Chi: Hyperbolic cosine integral. + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Logarithmic_integral + .. [2] https://mathworld.wolfram.com/LogarithmicIntegral.html + .. [3] https://dlmf.nist.gov/6 + .. [4] https://mathworld.wolfram.com/SoldnersConstant.html + + """ + + + @classmethod + def eval(cls, z): + if z.is_zero: + return S.Zero + elif z is S.One: + return S.NegativeInfinity + elif z is S.Infinity: + return S.Infinity + if z.is_zero: + return S.Zero + + def fdiff(self, argindex=1): + arg = self.args[0] + if argindex == 1: + return S.One / log(arg) + else: + raise ArgumentIndexError(self, argindex) + + def _eval_conjugate(self): + z = self.args[0] + # Exclude values on the branch cut (-oo, 0) + if not z.is_extended_negative: + return self.func(z.conjugate()) + + def _eval_rewrite_as_Li(self, z, **kwargs): + return Li(z) + li(2) + + def _eval_rewrite_as_Ei(self, z, **kwargs): + return Ei(log(z)) + + def _eval_rewrite_as_uppergamma(self, z, **kwargs): + from sympy.functions.special.gamma_functions import uppergamma + return (-uppergamma(0, -log(z)) + + S.Half*(log(log(z)) - log(S.One/log(z))) - log(-log(z))) + + def _eval_rewrite_as_Si(self, z, **kwargs): + return (Ci(I*log(z)) - I*Si(I*log(z)) - + S.Half*(log(S.One/log(z)) - log(log(z))) - log(I*log(z))) + + _eval_rewrite_as_Ci = _eval_rewrite_as_Si + + def _eval_rewrite_as_Shi(self, z, **kwargs): + return (Chi(log(z)) - Shi(log(z)) - S.Half*(log(S.One/log(z)) - log(log(z)))) + + _eval_rewrite_as_Chi = _eval_rewrite_as_Shi + + def _eval_rewrite_as_hyper(self, z, **kwargs): + return (log(z)*hyper((1, 1), (2, 2), log(z)) + + S.Half*(log(log(z)) - log(S.One/log(z))) + EulerGamma) + + def _eval_rewrite_as_meijerg(self, z, **kwargs): + return (-log(-log(z)) - S.Half*(log(S.One/log(z)) - log(log(z))) + - meijerg(((), (1,)), ((0, 0), ()), -log(z))) + + def _eval_rewrite_as_tractable(self, z, limitvar=None, **kwargs): + return z * _eis(log(z)) + + def _eval_nseries(self, x, n, logx, cdir=0): + z = self.args[0] + s = [(log(z))**k / (factorial(k) * k) for k in range(1, n)] + return EulerGamma + log(log(z)) + Add(*s) + + def _eval_is_zero(self): + z = self.args[0] + if z.is_zero: + return True + +class Li(DefinedFunction): + r""" + The offset logarithmic integral. + + Explanation + =========== + + For use in SymPy, this function is defined as + + .. math:: \operatorname{Li}(x) = \operatorname{li}(x) - \operatorname{li}(2) + + Examples + ======== + + >>> from sympy import Li + >>> from sympy.abc import z + + The following special value is known: + + >>> Li(2) + 0 + + Differentiation with respect to $z$ is supported: + + >>> from sympy import diff + >>> diff(Li(z), z) + 1/log(z) + + The shifted logarithmic integral can be written in terms of $li(z)$: + + >>> from sympy import li + >>> Li(z).rewrite(li) + li(z) - li(2) + + We can numerically evaluate the logarithmic integral to arbitrary precision + on the whole complex plane (except the singular points): + + >>> Li(2).evalf(30) + 0 + + >>> Li(4).evalf(30) + 1.92242131492155809316615998938 + + See Also + ======== + + li: Logarithmic integral. + Ei: Exponential integral. + expint: Generalised exponential integral. + E1: Special case of the generalised exponential integral. + Si: Sine integral. + Ci: Cosine integral. + Shi: Hyperbolic sine integral. + Chi: Hyperbolic cosine integral. + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Logarithmic_integral + .. [2] https://mathworld.wolfram.com/LogarithmicIntegral.html + .. [3] https://dlmf.nist.gov/6 + + """ + + + @classmethod + def eval(cls, z): + if z is S.Infinity: + return S.Infinity + elif z == S(2): + return S.Zero + + def fdiff(self, argindex=1): + arg = self.args[0] + if argindex == 1: + return S.One / log(arg) + else: + raise ArgumentIndexError(self, argindex) + + def _eval_evalf(self, prec): + return self.rewrite(li).evalf(prec) + + def _eval_rewrite_as_li(self, z, **kwargs): + return li(z) - li(2) + + def _eval_rewrite_as_tractable(self, z, limitvar=None, **kwargs): + return self.rewrite(li).rewrite("tractable", deep=True) + + def _eval_nseries(self, x, n, logx, cdir=0): + f = self._eval_rewrite_as_li(*self.args) + return f._eval_nseries(x, n, logx) + +############################################################################### +#################### TRIGONOMETRIC INTEGRALS ################################## +############################################################################### + +class TrigonometricIntegral(DefinedFunction): + """ Base class for trigonometric integrals. """ + + + @classmethod + def eval(cls, z): + if z is S.Zero: + return cls._atzero + elif z is S.Infinity: + return cls._atinf() + elif z is S.NegativeInfinity: + return cls._atneginf() + + if z.is_zero: + return cls._atzero + + nz = z.extract_multiplicatively(polar_lift(I)) + if nz is None and cls._trigfunc(0) == 0: + nz = z.extract_multiplicatively(I) + if nz is not None: + return cls._Ifactor(nz, 1) + nz = z.extract_multiplicatively(polar_lift(-I)) + if nz is not None: + return cls._Ifactor(nz, -1) + + nz = z.extract_multiplicatively(polar_lift(-1)) + if nz is None and cls._trigfunc(0) == 0: + nz = z.extract_multiplicatively(-1) + if nz is not None: + return cls._minusfactor(nz) + + nz, n = z.extract_branch_factor() + if n == 0 and nz == z: + return + return 2*pi*I*n*cls._trigfunc(0) + cls(nz) + + def fdiff(self, argindex=1): + arg = unpolarify(self.args[0]) + if argindex == 1: + return self._trigfunc(arg)/arg + else: + raise ArgumentIndexError(self, argindex) + + def _eval_rewrite_as_Ei(self, z, **kwargs): + return self._eval_rewrite_as_expint(z).rewrite(Ei) + + def _eval_rewrite_as_uppergamma(self, z, **kwargs): + from sympy.functions.special.gamma_functions import uppergamma + return self._eval_rewrite_as_expint(z).rewrite(uppergamma) + + def _eval_nseries(self, x, n, logx, cdir=0): + # NOTE this is fairly inefficient + if self.args[0].subs(x, 0) != 0: + return super()._eval_nseries(x, n, logx) + baseseries = self._trigfunc(x)._eval_nseries(x, n, logx) + if self._trigfunc(0) != 0: + baseseries -= 1 + baseseries = baseseries.replace(Pow, lambda t, n: t**n/n, simultaneous=False) + if self._trigfunc(0) != 0: + baseseries += EulerGamma + log(x) + return baseseries.subs(x, self.args[0])._eval_nseries(x, n, logx) + + +class Si(TrigonometricIntegral): + r""" + Sine integral. + + Explanation + =========== + + This function is defined by + + .. math:: \operatorname{Si}(z) = \int_0^z \frac{\sin{t}}{t} \mathrm{d}t. + + It is an entire function. + + Examples + ======== + + >>> from sympy import Si + >>> from sympy.abc import z + + The sine integral is an antiderivative of $sin(z)/z$: + + >>> Si(z).diff(z) + sin(z)/z + + It is unbranched: + + >>> from sympy import exp_polar, I, pi + >>> Si(z*exp_polar(2*I*pi)) + Si(z) + + Sine integral behaves much like ordinary sine under multiplication by ``I``: + + >>> Si(I*z) + I*Shi(z) + >>> Si(-z) + -Si(z) + + It can also be expressed in terms of exponential integrals, but beware + that the latter is branched: + + >>> from sympy import expint + >>> Si(z).rewrite(expint) + -I*(-expint(1, z*exp_polar(-I*pi/2))/2 + + expint(1, z*exp_polar(I*pi/2))/2) + pi/2 + + It can be rewritten in the form of sinc function (by definition): + + >>> from sympy import sinc + >>> Si(z).rewrite(sinc) + Integral(sinc(_t), (_t, 0, z)) + + See Also + ======== + + Ci: Cosine integral. + Shi: Hyperbolic sine integral. + Chi: Hyperbolic cosine integral. + Ei: Exponential integral. + expint: Generalised exponential integral. + sinc: unnormalized sinc function + E1: Special case of the generalised exponential integral. + li: Logarithmic integral. + Li: Offset logarithmic integral. + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Trigonometric_integral + + """ + + _trigfunc = sin + _atzero = S.Zero + + @classmethod + def _atinf(cls): + return pi*S.Half + + @classmethod + def _atneginf(cls): + return -pi*S.Half + + @classmethod + def _minusfactor(cls, z): + return -Si(z) + + @classmethod + def _Ifactor(cls, z, sign): + return I*Shi(z)*sign + + def _eval_rewrite_as_expint(self, z, **kwargs): + # XXX should we polarify z? + return pi/2 + (E1(polar_lift(I)*z) - E1(polar_lift(-I)*z))/2/I + + def _eval_rewrite_as_Integral(self, z, **kwargs): + from sympy.integrals.integrals import Integral + t = Dummy(uniquely_named_symbol('t', [z]).name) + return Integral(sinc(t), (t, 0, z)) + + _eval_rewrite_as_sinc = _eval_rewrite_as_Integral + + def _eval_as_leading_term(self, x, logx, cdir): + arg = self.args[0].as_leading_term(x, logx=logx, cdir=cdir) + arg0 = arg.subs(x, 0) + + if arg0 is S.NaN: + arg0 = arg.limit(x, 0, dir='-' if re(cdir).is_negative else '+') + if arg0.is_zero: + return arg + elif not arg0.is_infinite: + return self.func(arg0) + else: + return self + + def _eval_aseries(self, n, args0, x, logx): + from sympy.series.order import Order + point = args0[0] + + # Expansion at oo + if point is S.Infinity: + z = self.args[0] + p = [S.NegativeOne**k * factorial(2*k) / z**(2*k + 1) + for k in range(n//2 + 1)] + [Order(1/z**n, x)] + q = [S.NegativeOne**k * factorial(2*k + 1) / z**(2*(k + 1)) + for k in range(n//2)] + [Order(1/z**n, x)] + return pi/2 - cos(z)*Add(*p) - sin(z)*Add(*q) + + # All other points are not handled + return super(Si, self)._eval_aseries(n, args0, x, logx) + + def _eval_is_zero(self): + z = self.args[0] + if z.is_zero: + return True + + +class Ci(TrigonometricIntegral): + r""" + Cosine integral. + + Explanation + =========== + + This function is defined for positive $x$ by + + .. math:: \operatorname{Ci}(x) = \gamma + \log{x} + + \int_0^x \frac{\cos{t} - 1}{t} \mathrm{d}t + = -\int_x^\infty \frac{\cos{t}}{t} \mathrm{d}t, + + where $\gamma$ is the Euler-Mascheroni constant. + + We have + + .. math:: \operatorname{Ci}(z) = + -\frac{\operatorname{E}_1\left(e^{i\pi/2} z\right) + + \operatorname{E}_1\left(e^{-i \pi/2} z\right)}{2} + + which holds for all polar $z$ and thus provides an analytic + continuation to the Riemann surface of the logarithm. + + The formula also holds as stated + for $z \in \mathbb{C}$ with $\Re(z) > 0$. + By lifting to the principal branch, we obtain an analytic function on the + cut complex plane. + + Examples + ======== + + >>> from sympy import Ci + >>> from sympy.abc import z + + The cosine integral is a primitive of $\cos(z)/z$: + + >>> Ci(z).diff(z) + cos(z)/z + + It has a logarithmic branch point at the origin: + + >>> from sympy import exp_polar, I, pi + >>> Ci(z*exp_polar(2*I*pi)) + Ci(z) + 2*I*pi + + The cosine integral behaves somewhat like ordinary $\cos$ under + multiplication by $i$: + + >>> from sympy import polar_lift + >>> Ci(polar_lift(I)*z) + Chi(z) + I*pi/2 + >>> Ci(polar_lift(-1)*z) + Ci(z) + I*pi + + It can also be expressed in terms of exponential integrals: + + >>> from sympy import expint + >>> Ci(z).rewrite(expint) + -expint(1, z*exp_polar(-I*pi/2))/2 - expint(1, z*exp_polar(I*pi/2))/2 + + See Also + ======== + + Si: Sine integral. + Shi: Hyperbolic sine integral. + Chi: Hyperbolic cosine integral. + Ei: Exponential integral. + expint: Generalised exponential integral. + E1: Special case of the generalised exponential integral. + li: Logarithmic integral. + Li: Offset logarithmic integral. + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Trigonometric_integral + + """ + + _trigfunc = cos + _atzero = S.ComplexInfinity + + @classmethod + def _atinf(cls): + return S.Zero + + @classmethod + def _atneginf(cls): + return I*pi + + @classmethod + def _minusfactor(cls, z): + return Ci(z) + I*pi + + @classmethod + def _Ifactor(cls, z, sign): + return Chi(z) + I*pi/2*sign + + def _eval_rewrite_as_expint(self, z, **kwargs): + return -(E1(polar_lift(I)*z) + E1(polar_lift(-I)*z))/2 + + def _eval_rewrite_as_Integral(self, z, **kwargs): + from sympy.integrals.integrals import Integral + t = Dummy(uniquely_named_symbol('t', [z]).name) + return S.EulerGamma + log(z) - Integral((1-cos(t))/t, (t, 0, z)) + + def _eval_as_leading_term(self, x, logx, cdir): + arg = self.args[0].as_leading_term(x, logx=logx, cdir=cdir) + arg0 = arg.subs(x, 0) + + if arg0 is S.NaN: + arg0 = arg.limit(x, 0, dir='-' if re(cdir).is_negative else '+') + if arg0.is_zero: + c, e = arg.as_coeff_exponent(x) + logx = log(x) if logx is None else logx + return log(c) + e*logx + EulerGamma + elif arg0.is_finite: + return self.func(arg0) + else: + return self + + def _eval_aseries(self, n, args0, x, logx): + from sympy.series.order import Order + point = args0[0] + + if point in (S.Infinity, S.NegativeInfinity): + z = self.args[0] + p = [S.NegativeOne**k * factorial(2*k) / z**(2*k + 1) + for k in range(n//2 + 1)] + [Order(1/z**n, x)] + q = [S.NegativeOne**k * factorial(2*k + 1) / z**(2*(k + 1)) + for k in range(n//2)] + [Order(1/z**n, x)] + result = sin(z)*(Add(*p)) - cos(z)*(Add(*q)) + + if point is S.NegativeInfinity: + result += I*pi + return result + + return super(Ci, self)._eval_aseries(n, args0, x, logx) + +class Shi(TrigonometricIntegral): + r""" + Sinh integral. + + Explanation + =========== + + This function is defined by + + .. math:: \operatorname{Shi}(z) = \int_0^z \frac{\sinh{t}}{t} \mathrm{d}t. + + It is an entire function. + + Examples + ======== + + >>> from sympy import Shi + >>> from sympy.abc import z + + The Sinh integral is a primitive of $\sinh(z)/z$: + + >>> Shi(z).diff(z) + sinh(z)/z + + It is unbranched: + + >>> from sympy import exp_polar, I, pi + >>> Shi(z*exp_polar(2*I*pi)) + Shi(z) + + The $\sinh$ integral behaves much like ordinary $\sinh$ under + multiplication by $i$: + + >>> Shi(I*z) + I*Si(z) + >>> Shi(-z) + -Shi(z) + + It can also be expressed in terms of exponential integrals, but beware + that the latter is branched: + + >>> from sympy import expint + >>> Shi(z).rewrite(expint) + expint(1, z)/2 - expint(1, z*exp_polar(I*pi))/2 - I*pi/2 + + See Also + ======== + + Si: Sine integral. + Ci: Cosine integral. + Chi: Hyperbolic cosine integral. + Ei: Exponential integral. + expint: Generalised exponential integral. + E1: Special case of the generalised exponential integral. + li: Logarithmic integral. + Li: Offset logarithmic integral. + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Trigonometric_integral + + """ + + _trigfunc = sinh + _atzero = S.Zero + + @classmethod + def _atinf(cls): + return S.Infinity + + @classmethod + def _atneginf(cls): + return S.NegativeInfinity + + @classmethod + def _minusfactor(cls, z): + return -Shi(z) + + @classmethod + def _Ifactor(cls, z, sign): + return I*Si(z)*sign + + def _eval_rewrite_as_expint(self, z, **kwargs): + # XXX should we polarify z? + return (E1(z) - E1(exp_polar(I*pi)*z))/2 - I*pi/2 + + def _eval_is_zero(self): + z = self.args[0] + if z.is_zero: + return True + + def _eval_as_leading_term(self, x, logx, cdir): + arg = self.args[0].as_leading_term(x) + arg0 = arg.subs(x, 0) + + if arg0 is S.NaN: + arg0 = arg.limit(x, 0, dir='-' if re(cdir).is_negative else '+') + if arg0.is_zero: + return arg + elif not arg0.is_infinite: + return self.func(arg0) + else: + return self + + +class Chi(TrigonometricIntegral): + r""" + Cosh integral. + + Explanation + =========== + + This function is defined for positive $x$ by + + .. math:: \operatorname{Chi}(x) = \gamma + \log{x} + + \int_0^x \frac{\cosh{t} - 1}{t} \mathrm{d}t, + + where $\gamma$ is the Euler-Mascheroni constant. + + We have + + .. math:: \operatorname{Chi}(z) = \operatorname{Ci}\left(e^{i \pi/2}z\right) + - i\frac{\pi}{2}, + + which holds for all polar $z$ and thus provides an analytic + continuation to the Riemann surface of the logarithm. + By lifting to the principal branch we obtain an analytic function on the + cut complex plane. + + Examples + ======== + + >>> from sympy import Chi + >>> from sympy.abc import z + + The $\cosh$ integral is a primitive of $\cosh(z)/z$: + + >>> Chi(z).diff(z) + cosh(z)/z + + It has a logarithmic branch point at the origin: + + >>> from sympy import exp_polar, I, pi + >>> Chi(z*exp_polar(2*I*pi)) + Chi(z) + 2*I*pi + + The $\cosh$ integral behaves somewhat like ordinary $\cosh$ under + multiplication by $i$: + + >>> from sympy import polar_lift + >>> Chi(polar_lift(I)*z) + Ci(z) + I*pi/2 + >>> Chi(polar_lift(-1)*z) + Chi(z) + I*pi + + It can also be expressed in terms of exponential integrals: + + >>> from sympy import expint + >>> Chi(z).rewrite(expint) + -expint(1, z)/2 - expint(1, z*exp_polar(I*pi))/2 - I*pi/2 + + See Also + ======== + + Si: Sine integral. + Ci: Cosine integral. + Shi: Hyperbolic sine integral. + Ei: Exponential integral. + expint: Generalised exponential integral. + E1: Special case of the generalised exponential integral. + li: Logarithmic integral. + Li: Offset logarithmic integral. + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Trigonometric_integral + + """ + + _trigfunc = cosh + _atzero = S.ComplexInfinity + + @classmethod + def _atinf(cls): + return S.Infinity + + @classmethod + def _atneginf(cls): + return S.Infinity + + @classmethod + def _minusfactor(cls, z): + return Chi(z) + I*pi + + @classmethod + def _Ifactor(cls, z, sign): + return Ci(z) + I*pi/2*sign + + def _eval_rewrite_as_expint(self, z, **kwargs): + return -I*pi/2 - (E1(z) + E1(exp_polar(I*pi)*z))/2 + + def _eval_as_leading_term(self, x, logx, cdir): + arg = self.args[0].as_leading_term(x, logx=logx, cdir=cdir) + arg0 = arg.subs(x, 0) + + if arg0 is S.NaN: + arg0 = arg.limit(x, 0, dir='-' if re(cdir).is_negative else '+') + if arg0.is_zero: + c, e = arg.as_coeff_exponent(x) + logx = log(x) if logx is None else logx + return log(c) + e*logx + EulerGamma + elif arg0.is_finite: + return self.func(arg0) + else: + return self + + +############################################################################### +#################### FRESNEL INTEGRALS ######################################## +############################################################################### + +class FresnelIntegral(DefinedFunction): + """ Base class for the Fresnel integrals.""" + + unbranched = True + + @classmethod + def eval(cls, z): + # Values at positive infinities signs + # if any were extracted automatically + if z is S.Infinity: + return S.Half + + # Value at zero + if z.is_zero: + return S.Zero + + # Try to pull out factors of -1 and I + prefact = S.One + newarg = z + changed = False + + nz = newarg.extract_multiplicatively(-1) + if nz is not None: + prefact = -prefact + newarg = nz + changed = True + + nz = newarg.extract_multiplicatively(I) + if nz is not None: + prefact = cls._sign*I*prefact + newarg = nz + changed = True + + if changed: + return prefact*cls(newarg) + + def fdiff(self, argindex=1): + if argindex == 1: + return self._trigfunc(S.Half*pi*self.args[0]**2) + else: + raise ArgumentIndexError(self, argindex) + + def _eval_is_extended_real(self): + return self.args[0].is_extended_real + + _eval_is_finite = _eval_is_extended_real + + def _eval_is_zero(self): + return self.args[0].is_zero + + def _eval_conjugate(self): + return self.func(self.args[0].conjugate()) + + as_real_imag = real_to_real_as_real_imag + + +class fresnels(FresnelIntegral): + r""" + Fresnel integral S. + + Explanation + =========== + + This function is defined by + + .. math:: \operatorname{S}(z) = \int_0^z \sin{\frac{\pi}{2} t^2} \mathrm{d}t. + + It is an entire function. + + Examples + ======== + + >>> from sympy import I, oo, fresnels + >>> from sympy.abc import z + + Several special values are known: + + >>> fresnels(0) + 0 + >>> fresnels(oo) + 1/2 + >>> fresnels(-oo) + -1/2 + >>> fresnels(I*oo) + -I/2 + >>> fresnels(-I*oo) + I/2 + + In general one can pull out factors of -1 and $i$ from the argument: + + >>> fresnels(-z) + -fresnels(z) + >>> fresnels(I*z) + -I*fresnels(z) + + The Fresnel S integral obeys the mirror symmetry + $\overline{S(z)} = S(\bar{z})$: + + >>> from sympy import conjugate + >>> conjugate(fresnels(z)) + fresnels(conjugate(z)) + + Differentiation with respect to $z$ is supported: + + >>> from sympy import diff + >>> diff(fresnels(z), z) + sin(pi*z**2/2) + + Defining the Fresnel functions via an integral: + + >>> from sympy import integrate, pi, sin, expand_func + >>> integrate(sin(pi*z**2/2), z) + 3*fresnels(z)*gamma(3/4)/(4*gamma(7/4)) + >>> expand_func(integrate(sin(pi*z**2/2), z)) + fresnels(z) + + We can numerically evaluate the Fresnel integral to arbitrary precision + on the whole complex plane: + + >>> fresnels(2).evalf(30) + 0.343415678363698242195300815958 + + >>> fresnels(-2*I).evalf(30) + 0.343415678363698242195300815958*I + + See Also + ======== + + fresnelc: Fresnel cosine integral. + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Fresnel_integral + .. [2] https://dlmf.nist.gov/7 + .. [3] https://mathworld.wolfram.com/FresnelIntegrals.html + .. [4] https://functions.wolfram.com/GammaBetaErf/FresnelS + .. [5] The converging factors for the fresnel integrals + by John W. Wrench Jr. and Vicki Alley + + """ + _trigfunc = sin + _sign = -S.One + + @staticmethod + @cacheit + def taylor_term(n, x, *previous_terms): + if n < 0: + return S.Zero + else: + x = sympify(x) + if len(previous_terms) > 1: + p = previous_terms[-1] + return (-pi**2*x**4*(4*n - 1)/(8*n*(2*n + 1)*(4*n + 3))) * p + else: + return x**3 * (-x**4)**n * (S(2)**(-2*n - 1)*pi**(2*n + 1)) / ((4*n + 3)*factorial(2*n + 1)) + + def _eval_rewrite_as_erf(self, z, **kwargs): + return (S.One + I)/4 * (erf((S.One + I)/2*sqrt(pi)*z) - I*erf((S.One - I)/2*sqrt(pi)*z)) + + def _eval_rewrite_as_hyper(self, z, **kwargs): + return pi*z**3/6 * hyper([Rational(3, 4)], [Rational(3, 2), Rational(7, 4)], -pi**2*z**4/16) + + def _eval_rewrite_as_meijerg(self, z, **kwargs): + return (pi*z**Rational(9, 4) / (sqrt(2)*(z**2)**Rational(3, 4)*(-z)**Rational(3, 4)) + * meijerg([], [1], [Rational(3, 4)], [Rational(1, 4), 0], -pi**2*z**4/16)) + + def _eval_rewrite_as_Integral(self, z, **kwargs): + from sympy.integrals.integrals import Integral + t = Dummy(uniquely_named_symbol('t', [z]).name) + return Integral(sin(pi*t**2/2), (t, 0, z)) + + def _eval_as_leading_term(self, x, logx, cdir): + from sympy.series.order import Order + arg = self.args[0].as_leading_term(x, logx=logx, cdir=cdir) + arg0 = arg.subs(x, 0) + + if arg0 is S.ComplexInfinity: + arg0 = arg.limit(x, 0, dir='-' if re(cdir).is_negative else '+') + if arg0.is_zero: + return pi*arg**3/6 + elif arg0 in [S.Infinity, S.NegativeInfinity]: + s = 1 if arg0 is S.Infinity else -1 + return s*S.Half + Order(x, x) + else: + return self.func(arg0) + + def _eval_aseries(self, n, args0, x, logx): + from sympy.series.order import Order + point = args0[0] + + # Expansion at oo and -oo + if point in [S.Infinity, -S.Infinity]: + z = self.args[0] + + # expansion of S(x) = S1(x*sqrt(pi/2)), see reference[5] page 1-8 + # as only real infinities are dealt with, sin and cos are O(1) + p = [S.NegativeOne**k * factorial(4*k + 1) / + (2**(2*k + 2) * z**(4*k + 3) * 2**(2*k)*factorial(2*k)) + for k in range(0, n) if 4*k + 3 < n] + q = [1/(2*z)] + [S.NegativeOne**k * factorial(4*k - 1) / + (2**(2*k + 1) * z**(4*k + 1) * 2**(2*k - 1)*factorial(2*k - 1)) + for k in range(1, n) if 4*k + 1 < n] + + p = [-sqrt(2/pi)*t for t in p] + q = [-sqrt(2/pi)*t for t in q] + s = 1 if point is S.Infinity else -1 + # The expansion at oo is 1/2 + some odd powers of z + # To get the expansion at -oo, replace z by -z and flip the sign + # The result -1/2 + the same odd powers of z as before. + return s*S.Half + (sin(z**2)*Add(*p) + cos(z**2)*Add(*q) + ).subs(x, sqrt(2/pi)*x) + Order(1/z**n, x) + + # All other points are not handled + return super()._eval_aseries(n, args0, x, logx) + + +class fresnelc(FresnelIntegral): + r""" + Fresnel integral C. + + Explanation + =========== + + This function is defined by + + .. math:: \operatorname{C}(z) = \int_0^z \cos{\frac{\pi}{2} t^2} \mathrm{d}t. + + It is an entire function. + + Examples + ======== + + >>> from sympy import I, oo, fresnelc + >>> from sympy.abc import z + + Several special values are known: + + >>> fresnelc(0) + 0 + >>> fresnelc(oo) + 1/2 + >>> fresnelc(-oo) + -1/2 + >>> fresnelc(I*oo) + I/2 + >>> fresnelc(-I*oo) + -I/2 + + In general one can pull out factors of -1 and $i$ from the argument: + + >>> fresnelc(-z) + -fresnelc(z) + >>> fresnelc(I*z) + I*fresnelc(z) + + The Fresnel C integral obeys the mirror symmetry + $\overline{C(z)} = C(\bar{z})$: + + >>> from sympy import conjugate + >>> conjugate(fresnelc(z)) + fresnelc(conjugate(z)) + + Differentiation with respect to $z$ is supported: + + >>> from sympy import diff + >>> diff(fresnelc(z), z) + cos(pi*z**2/2) + + Defining the Fresnel functions via an integral: + + >>> from sympy import integrate, pi, cos, expand_func + >>> integrate(cos(pi*z**2/2), z) + fresnelc(z)*gamma(1/4)/(4*gamma(5/4)) + >>> expand_func(integrate(cos(pi*z**2/2), z)) + fresnelc(z) + + We can numerically evaluate the Fresnel integral to arbitrary precision + on the whole complex plane: + + >>> fresnelc(2).evalf(30) + 0.488253406075340754500223503357 + + >>> fresnelc(-2*I).evalf(30) + -0.488253406075340754500223503357*I + + See Also + ======== + + fresnels: Fresnel sine integral. + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Fresnel_integral + .. [2] https://dlmf.nist.gov/7 + .. [3] https://mathworld.wolfram.com/FresnelIntegrals.html + .. [4] https://functions.wolfram.com/GammaBetaErf/FresnelC + .. [5] The converging factors for the fresnel integrals + by John W. Wrench Jr. and Vicki Alley + + """ + _trigfunc = cos + _sign = S.One + + @staticmethod + @cacheit + def taylor_term(n, x, *previous_terms): + if n < 0: + return S.Zero + else: + x = sympify(x) + if len(previous_terms) > 1: + p = previous_terms[-1] + return (-pi**2*x**4*(4*n - 3)/(8*n*(2*n - 1)*(4*n + 1))) * p + else: + return x * (-x**4)**n * (S(2)**(-2*n)*pi**(2*n)) / ((4*n + 1)*factorial(2*n)) + + def _eval_rewrite_as_erf(self, z, **kwargs): + return (S.One - I)/4 * (erf((S.One + I)/2*sqrt(pi)*z) + I*erf((S.One - I)/2*sqrt(pi)*z)) + + def _eval_rewrite_as_hyper(self, z, **kwargs): + return z * hyper([Rational(1, 4)], [S.Half, Rational(5, 4)], -pi**2*z**4/16) + + def _eval_rewrite_as_meijerg(self, z, **kwargs): + return (pi*z**Rational(3, 4) / (sqrt(2)*root(z**2, 4)*root(-z, 4)) + * meijerg([], [1], [Rational(1, 4)], [Rational(3, 4), 0], -pi**2*z**4/16)) + + def _eval_rewrite_as_Integral(self, z, **kwargs): + from sympy.integrals.integrals import Integral + t = Dummy(uniquely_named_symbol('t', [z]).name) + return Integral(cos(pi*t**2/2), (t, 0, z)) + + def _eval_as_leading_term(self, x, logx, cdir): + from sympy.series.order import Order + arg = self.args[0].as_leading_term(x, logx=logx, cdir=cdir) + arg0 = arg.subs(x, 0) + + if arg0 is S.ComplexInfinity: + arg0 = arg.limit(x, 0, dir='-' if re(cdir).is_negative else '+') + if arg0.is_zero: + return arg + elif arg0 in [S.Infinity, S.NegativeInfinity]: + s = 1 if arg0 is S.Infinity else -1 + return s*S.Half + Order(x, x) + else: + return self.func(arg0) + + def _eval_aseries(self, n, args0, x, logx): + from sympy.series.order import Order + point = args0[0] + + # Expansion at oo + if point in [S.Infinity, -S.Infinity]: + z = self.args[0] + + # expansion of C(x) = C1(x*sqrt(pi/2)), see reference[5] page 1-8 + # as only real infinities are dealt with, sin and cos are O(1) + p = [S.NegativeOne**k * factorial(4*k + 1) / + (2**(2*k + 2) * z**(4*k + 3) * 2**(2*k)*factorial(2*k)) + for k in range(n) if 4*k + 3 < n] + q = [1/(2*z)] + [S.NegativeOne**k * factorial(4*k - 1) / + (2**(2*k + 1) * z**(4*k + 1) * 2**(2*k - 1)*factorial(2*k - 1)) + for k in range(1, n) if 4*k + 1 < n] + + p = [-sqrt(2/pi)*t for t in p] + q = [ sqrt(2/pi)*t for t in q] + s = 1 if point is S.Infinity else -1 + # The expansion at oo is 1/2 + some odd powers of z + # To get the expansion at -oo, replace z by -z and flip the sign + # The result -1/2 + the same odd powers of z as before. + return s*S.Half + (cos(z**2)*Add(*p) + sin(z**2)*Add(*q) + ).subs(x, sqrt(2/pi)*x) + Order(1/z**n, x) + + # All other points are not handled + return super()._eval_aseries(n, args0, x, logx) + + +############################################################################### +#################### HELPER FUNCTIONS ######################################### +############################################################################### + + +class _erfs(DefinedFunction): + """ + Helper function to make the $\\mathrm{erf}(z)$ function + tractable for the Gruntz algorithm. + + """ + @classmethod + def eval(cls, arg): + if arg.is_zero: + return S.One + + def _eval_aseries(self, n, args0, x, logx): + from sympy.series.order import Order + point = args0[0] + + # Expansion at oo + if point is S.Infinity: + z = self.args[0] + l = [1/sqrt(pi) * factorial(2*k)*(-S( + 4))**(-k)/factorial(k) * (1/z)**(2*k + 1) for k in range(n)] + o = Order(1/z**(2*n + 1), x) + # It is very inefficient to first add the order and then do the nseries + return (Add(*l))._eval_nseries(x, n, logx) + o + + # Expansion at I*oo + t = point.extract_multiplicatively(I) + if t is S.Infinity: + z = self.args[0] + # TODO: is the series really correct? + l = [1/sqrt(pi) * factorial(2*k)*(-S( + 4))**(-k)/factorial(k) * (1/z)**(2*k + 1) for k in range(n)] + o = Order(1/z**(2*n + 1), x) + # It is very inefficient to first add the order and then do the nseries + return (Add(*l))._eval_nseries(x, n, logx) + o + + # All other points are not handled + return super()._eval_aseries(n, args0, x, logx) + + def fdiff(self, argindex=1): + if argindex == 1: + z = self.args[0] + return -2/sqrt(pi) + 2*z*_erfs(z) + else: + raise ArgumentIndexError(self, argindex) + + def _eval_rewrite_as_intractable(self, z, **kwargs): + return (S.One - erf(z))*exp(z**2) + + +class _eis(DefinedFunction): + """ + Helper function to make the $\\mathrm{Ei}(z)$ and $\\mathrm{li}(z)$ + functions tractable for the Gruntz algorithm. + + """ + + + def _eval_aseries(self, n, args0, x, logx): + from sympy.series.order import Order + if args0[0] not in (S.Infinity, S.NegativeInfinity): + return super()._eval_aseries(n, args0, x, logx) + + z = self.args[0] + l = [factorial(k) * (1/z)**(k + 1) for k in range(n)] + o = Order(1/z**(n + 1), x) + # It is very inefficient to first add the order and then do the nseries + return (Add(*l))._eval_nseries(x, n, logx) + o + + + def fdiff(self, argindex=1): + if argindex == 1: + z = self.args[0] + return S.One / z - _eis(z) + else: + raise ArgumentIndexError(self, argindex) + + def _eval_rewrite_as_intractable(self, z, **kwargs): + return exp(-z)*Ei(z) + + def _eval_as_leading_term(self, x, logx, cdir): + x0 = self.args[0].limit(x, 0) + if x0.is_zero: + f = self._eval_rewrite_as_intractable(*self.args) + return f._eval_as_leading_term(x, logx=logx, cdir=cdir) + return super()._eval_as_leading_term(x, logx=logx, cdir=cdir) + + def _eval_nseries(self, x, n, logx, cdir=0): + x0 = self.args[0].limit(x, 0) + if x0.is_zero: + f = self._eval_rewrite_as_intractable(*self.args) + return f._eval_nseries(x, n, logx) + return super()._eval_nseries(x, n, logx) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/gamma_functions.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/gamma_functions.py new file mode 100644 index 0000000000000000000000000000000000000000..73a5a1585154c603e9c510b3c61144039e0e5502 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/gamma_functions.py @@ -0,0 +1,1344 @@ +from math import prod + +from sympy.core import Add, S, Dummy, expand_func +from sympy.core.expr import Expr +from sympy.core.function import DefinedFunction, ArgumentIndexError, PoleError +from sympy.core.logic import fuzzy_and, fuzzy_not +from sympy.core.numbers import Rational, pi, oo, I +from sympy.core.power import Pow +from sympy.functions.special.zeta_functions import zeta +from sympy.functions.special.error_functions import erf, erfc, Ei +from sympy.functions.elementary.complexes import re, unpolarify +from sympy.functions.elementary.exponential import exp, log +from sympy.functions.elementary.integers import ceiling, floor +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.trigonometric import sin, cos, cot +from sympy.functions.combinatorial.numbers import bernoulli, harmonic +from sympy.functions.combinatorial.factorials import factorial, rf, RisingFactorial +from sympy.utilities.misc import as_int + +from mpmath import mp, workprec +from mpmath.libmp.libmpf import prec_to_dps + +def intlike(n): + try: + as_int(n, strict=False) + return True + except ValueError: + return False + +############################################################################### +############################ COMPLETE GAMMA FUNCTION ########################## +############################################################################### + +class gamma(DefinedFunction): + r""" + The gamma function + + .. math:: + \Gamma(x) := \int^{\infty}_{0} t^{x-1} e^{-t} \mathrm{d}t. + + Explanation + =========== + + The ``gamma`` function implements the function which passes through the + values of the factorial function (i.e., $\Gamma(n) = (n - 1)!$ when n is + an integer). More generally, $\Gamma(z)$ is defined in the whole complex + plane except at the negative integers where there are simple poles. + + Examples + ======== + + >>> from sympy import S, I, pi, gamma + >>> from sympy.abc import x + + Several special values are known: + + >>> gamma(1) + 1 + >>> gamma(4) + 6 + >>> gamma(S(3)/2) + sqrt(pi)/2 + + The ``gamma`` function obeys the mirror symmetry: + + >>> from sympy import conjugate + >>> conjugate(gamma(x)) + gamma(conjugate(x)) + + Differentiation with respect to $x$ is supported: + + >>> from sympy import diff + >>> diff(gamma(x), x) + gamma(x)*polygamma(0, x) + + Series expansion is also supported: + + >>> from sympy import series + >>> series(gamma(x), x, 0, 3) + 1/x - EulerGamma + x*(EulerGamma**2/2 + pi**2/12) + x**2*(-EulerGamma*pi**2/12 - zeta(3)/3 - EulerGamma**3/6) + O(x**3) + + We can numerically evaluate the ``gamma`` function to arbitrary precision + on the whole complex plane: + + >>> gamma(pi).evalf(40) + 2.288037795340032417959588909060233922890 + >>> gamma(1+I).evalf(20) + 0.49801566811835604271 - 0.15494982830181068512*I + + See Also + ======== + + lowergamma: Lower incomplete gamma function. + uppergamma: Upper incomplete gamma function. + polygamma: Polygamma function. + loggamma: Log Gamma function. + digamma: Digamma function. + trigamma: Trigamma function. + sympy.functions.special.beta_functions.beta: Euler Beta function. + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Gamma_function + .. [2] https://dlmf.nist.gov/5 + .. [3] https://mathworld.wolfram.com/GammaFunction.html + .. [4] https://functions.wolfram.com/GammaBetaErf/Gamma/ + + """ + + unbranched = True + _singularities = (S.ComplexInfinity,) + + def fdiff(self, argindex=1): + if argindex == 1: + return self.func(self.args[0])*polygamma(0, self.args[0]) + else: + raise ArgumentIndexError(self, argindex) + + @classmethod + def eval(cls, arg): + if arg.is_Number: + if arg is S.NaN: + return S.NaN + elif arg is oo: + return oo + elif intlike(arg): + if arg.is_positive: + return factorial(arg - 1) + else: + return S.ComplexInfinity + elif arg.is_Rational: + if arg.q == 2: + n = abs(arg.p) // arg.q + + if arg.is_positive: + k, coeff = n, S.One + else: + n = k = n + 1 + + if n & 1 == 0: + coeff = S.One + else: + coeff = S.NegativeOne + + coeff *= prod(range(3, 2*k, 2)) + + if arg.is_positive: + return coeff*sqrt(pi) / 2**n + else: + return 2**n*sqrt(pi) / coeff + + def _eval_expand_func(self, **hints): + arg = self.args[0] + if arg.is_Rational: + if abs(arg.p) > arg.q: + x = Dummy('x') + n = arg.p // arg.q + p = arg.p - n*arg.q + return self.func(x + n)._eval_expand_func().subs(x, Rational(p, arg.q)) + + if arg.is_Add: + coeff, tail = arg.as_coeff_add() + if coeff and coeff.q != 1: + intpart = floor(coeff) + tail = (coeff - intpart,) + tail + coeff = intpart + tail = arg._new_rawargs(*tail, reeval=False) + return self.func(tail)*RisingFactorial(tail, coeff) + + return self.func(*self.args) + + def _eval_conjugate(self): + return self.func(self.args[0].conjugate()) + + def _eval_is_real(self): + x = self.args[0] + if x.is_nonpositive and x.is_integer: + return False + if intlike(x) and x <= 0: + return False + if x.is_positive or x.is_noninteger: + return True + + def _eval_is_positive(self): + x = self.args[0] + if x.is_positive: + return True + elif x.is_noninteger: + return floor(x).is_even + + def _eval_rewrite_as_tractable(self, z, limitvar=None, **kwargs): + return exp(loggamma(z)) + + def _eval_rewrite_as_factorial(self, z, **kwargs): + return factorial(z - 1) + + def _eval_nseries(self, x, n, logx, cdir=0): + x0 = self.args[0].limit(x, 0) + if not (x0.is_Integer and x0 <= 0): + return super()._eval_nseries(x, n, logx) + t = self.args[0] - x0 + return (self.func(t + 1)/rf(self.args[0], -x0 + 1))._eval_nseries(x, n, logx) + + def _eval_as_leading_term(self, x, logx, cdir): + arg = self.args[0] + x0 = arg.subs(x, 0) + + if x0.is_integer and x0.is_nonpositive: + n = -x0 + res = S.NegativeOne**n/self.func(n + 1) + return res/(arg + n).as_leading_term(x) + elif not x0.is_infinite: + return self.func(x0) + raise PoleError() + + +############################################################################### +################## LOWER and UPPER INCOMPLETE GAMMA FUNCTIONS ################# +############################################################################### + +class lowergamma(DefinedFunction): + r""" + The lower incomplete gamma function. + + Explanation + =========== + + It can be defined as the meromorphic continuation of + + .. math:: + \gamma(s, x) := \int_0^x t^{s-1} e^{-t} \mathrm{d}t = \Gamma(s) - \Gamma(s, x). + + This can be shown to be the same as + + .. math:: + \gamma(s, x) = \frac{x^s}{s} {}_1F_1\left({s \atop s+1} \middle| -x\right), + + where ${}_1F_1$ is the (confluent) hypergeometric function. + + Examples + ======== + + >>> from sympy import lowergamma, S + >>> from sympy.abc import s, x + >>> lowergamma(s, x) + lowergamma(s, x) + >>> lowergamma(3, x) + -2*(x**2/2 + x + 1)*exp(-x) + 2 + >>> lowergamma(-S(1)/2, x) + -2*sqrt(pi)*erf(sqrt(x)) - 2*exp(-x)/sqrt(x) + + See Also + ======== + + gamma: Gamma function. + uppergamma: Upper incomplete gamma function. + polygamma: Polygamma function. + loggamma: Log Gamma function. + digamma: Digamma function. + trigamma: Trigamma function. + sympy.functions.special.beta_functions.beta: Euler Beta function. + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Incomplete_gamma_function#Lower_incomplete_gamma_function + .. [2] Abramowitz, Milton; Stegun, Irene A., eds. (1965), Chapter 6, + Section 5, Handbook of Mathematical Functions with Formulas, Graphs, + and Mathematical Tables + .. [3] https://dlmf.nist.gov/8 + .. [4] https://functions.wolfram.com/GammaBetaErf/Gamma2/ + .. [5] https://functions.wolfram.com/GammaBetaErf/Gamma3/ + + """ + + + def fdiff(self, argindex=2): + from sympy.functions.special.hyper import meijerg + if argindex == 2: + a, z = self.args + return exp(-unpolarify(z))*z**(a - 1) + elif argindex == 1: + a, z = self.args + return gamma(a)*digamma(a) - log(z)*uppergamma(a, z) \ + - meijerg([], [1, 1], [0, 0, a], [], z) + + else: + raise ArgumentIndexError(self, argindex) + + @classmethod + def eval(cls, a, x): + # For lack of a better place, we use this one to extract branching + # information. The following can be + # found in the literature (c/f references given above), albeit scattered: + # 1) For fixed x != 0, lowergamma(s, x) is an entire function of s + # 2) For fixed positive integers s, lowergamma(s, x) is an entire + # function of x. + # 3) For fixed non-positive integers s, + # lowergamma(s, exp(I*2*pi*n)*x) = + # 2*pi*I*n*(-1)**(-s)/factorial(-s) + lowergamma(s, x) + # (this follows from lowergamma(s, x).diff(x) = x**(s-1)*exp(-x)). + # 4) For fixed non-integral s, + # lowergamma(s, x) = x**s*gamma(s)*lowergamma_unbranched(s, x), + # where lowergamma_unbranched(s, x) is an entire function (in fact + # of both s and x), i.e. + # lowergamma(s, exp(2*I*pi*n)*x) = exp(2*pi*I*n*a)*lowergamma(a, x) + if x is S.Zero: + return S.Zero + nx, n = x.extract_branch_factor() + if a.is_integer and a.is_positive: + nx = unpolarify(x) + if nx != x: + return lowergamma(a, nx) + elif a.is_integer and a.is_nonpositive: + if n != 0: + return 2*pi*I*n*S.NegativeOne**(-a)/factorial(-a) + lowergamma(a, nx) + elif n != 0: + return exp(2*pi*I*n*a)*lowergamma(a, nx) + + # Special values. + if a.is_Number: + if a is S.One: + return S.One - exp(-x) + elif a is S.Half: + return sqrt(pi)*erf(sqrt(x)) + elif a.is_Integer or (2*a).is_Integer: + b = a - 1 + if b.is_positive: + if a.is_integer: + return factorial(b) - exp(-x) * factorial(b) * Add(*[x ** k / factorial(k) for k in range(a)]) + else: + return gamma(a)*(lowergamma(S.Half, x)/sqrt(pi) - exp(-x)*Add(*[x**(k - S.Half)/gamma(S.Half + k) for k in range(1, a + S.Half)])) + + if not a.is_Integer: + return S.NegativeOne**(S.Half - a)*pi*erf(sqrt(x))/gamma(1 - a) + exp(-x)*Add(*[x**(k + a - 1)*gamma(a)/gamma(a + k) for k in range(1, Rational(3, 2) - a)]) + + if x.is_zero: + return S.Zero + + def _eval_evalf(self, prec): + if all(x.is_number for x in self.args): + a = self.args[0]._to_mpmath(prec) + z = self.args[1]._to_mpmath(prec) + with workprec(prec): + res = mp.gammainc(a, 0, z) + return Expr._from_mpmath(res, prec) + else: + return self + + def _eval_conjugate(self): + x = self.args[1] + if x not in (S.Zero, S.NegativeInfinity): + return self.func(self.args[0].conjugate(), x.conjugate()) + + def _eval_is_meromorphic(self, x, a): + # By https://en.wikipedia.org/wiki/Incomplete_gamma_function#Holomorphic_extension, + # lowergamma(s, z) = z**s*gamma(s)*gammastar(s, z), + # where gammastar(s, z) is holomorphic for all s and z. + # Hence the singularities of lowergamma are z = 0 (branch + # point) and nonpositive integer values of s (poles of gamma(s)). + s, z = self.args + args_merom = fuzzy_and([z._eval_is_meromorphic(x, a), + s._eval_is_meromorphic(x, a)]) + if not args_merom: + return args_merom + z0 = z.subs(x, a) + if s.is_integer: + return fuzzy_and([s.is_positive, z0.is_finite]) + s0 = s.subs(x, a) + return fuzzy_and([s0.is_finite, z0.is_finite, fuzzy_not(z0.is_zero)]) + + def _eval_aseries(self, n, args0, x, logx): + from sympy.series.order import O + s, z = self.args + if args0[0] is oo and not z.has(x): + coeff = z**s*exp(-z) + sum_expr = sum(z**k/rf(s, k + 1) for k in range(n - 1)) + o = O(z**s*s**(-n)) + return coeff*sum_expr + o + return super()._eval_aseries(n, args0, x, logx) + + def _eval_rewrite_as_uppergamma(self, s, x, **kwargs): + return gamma(s) - uppergamma(s, x) + + def _eval_rewrite_as_expint(self, s, x, **kwargs): + from sympy.functions.special.error_functions import expint + if s.is_integer and s.is_nonpositive: + return self + return self.rewrite(uppergamma).rewrite(expint) + + def _eval_is_zero(self): + x = self.args[1] + if x.is_zero: + return True + + +class uppergamma(DefinedFunction): + r""" + The upper incomplete gamma function. + + Explanation + =========== + + It can be defined as the meromorphic continuation of + + .. math:: + \Gamma(s, x) := \int_x^\infty t^{s-1} e^{-t} \mathrm{d}t = \Gamma(s) - \gamma(s, x). + + where $\gamma(s, x)$ is the lower incomplete gamma function, + :class:`lowergamma`. This can be shown to be the same as + + .. math:: + \Gamma(s, x) = \Gamma(s) - \frac{x^s}{s} {}_1F_1\left({s \atop s+1} \middle| -x\right), + + where ${}_1F_1$ is the (confluent) hypergeometric function. + + The upper incomplete gamma function is also essentially equivalent to the + generalized exponential integral: + + .. math:: + \operatorname{E}_{n}(x) = \int_{1}^{\infty}{\frac{e^{-xt}}{t^n} \, dt} = x^{n-1}\Gamma(1-n,x). + + Examples + ======== + + >>> from sympy import uppergamma, S + >>> from sympy.abc import s, x + >>> uppergamma(s, x) + uppergamma(s, x) + >>> uppergamma(3, x) + 2*(x**2/2 + x + 1)*exp(-x) + >>> uppergamma(-S(1)/2, x) + -2*sqrt(pi)*erfc(sqrt(x)) + 2*exp(-x)/sqrt(x) + >>> uppergamma(-2, x) + expint(3, x)/x**2 + + See Also + ======== + + gamma: Gamma function. + lowergamma: Lower incomplete gamma function. + polygamma: Polygamma function. + loggamma: Log Gamma function. + digamma: Digamma function. + trigamma: Trigamma function. + sympy.functions.special.beta_functions.beta: Euler Beta function. + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Incomplete_gamma_function#Upper_incomplete_gamma_function + .. [2] Abramowitz, Milton; Stegun, Irene A., eds. (1965), Chapter 6, + Section 5, Handbook of Mathematical Functions with Formulas, Graphs, + and Mathematical Tables + .. [3] https://dlmf.nist.gov/8 + .. [4] https://functions.wolfram.com/GammaBetaErf/Gamma2/ + .. [5] https://functions.wolfram.com/GammaBetaErf/Gamma3/ + .. [6] https://en.wikipedia.org/wiki/Exponential_integral#Relation_with_other_functions + + """ + + + def fdiff(self, argindex=2): + from sympy.functions.special.hyper import meijerg + if argindex == 2: + a, z = self.args + return -exp(-unpolarify(z))*z**(a - 1) + elif argindex == 1: + a, z = self.args + return uppergamma(a, z)*log(z) + meijerg([], [1, 1], [0, 0, a], [], z) + else: + raise ArgumentIndexError(self, argindex) + + def _eval_evalf(self, prec): + if all(x.is_number for x in self.args): + a = self.args[0]._to_mpmath(prec) + z = self.args[1]._to_mpmath(prec) + with workprec(prec): + res = mp.gammainc(a, z, mp.inf) + return Expr._from_mpmath(res, prec) + return self + + @classmethod + def eval(cls, a, z): + from sympy.functions.special.error_functions import expint + if z.is_Number: + if z is S.NaN: + return S.NaN + elif z is oo: + return S.Zero + elif z.is_zero: + if re(a).is_positive: + return gamma(a) + + # We extract branching information here. C/f lowergamma. + nx, n = z.extract_branch_factor() + if a.is_integer and a.is_positive: + nx = unpolarify(z) + if z != nx: + return uppergamma(a, nx) + elif a.is_integer and a.is_nonpositive: + if n != 0: + return -2*pi*I*n*S.NegativeOne**(-a)/factorial(-a) + uppergamma(a, nx) + elif n != 0: + return gamma(a)*(1 - exp(2*pi*I*n*a)) + exp(2*pi*I*n*a)*uppergamma(a, nx) + + # Special values. + if a.is_Number: + if a is S.Zero and z.is_positive: + return -Ei(-z) + elif a is S.One: + return exp(-z) + elif a is S.Half: + return sqrt(pi)*erfc(sqrt(z)) + elif a.is_Integer or (2*a).is_Integer: + b = a - 1 + if b.is_positive: + if a.is_integer: + return exp(-z) * factorial(b) * Add(*[z**k / factorial(k) + for k in range(a)]) + else: + return (gamma(a) * erfc(sqrt(z)) + + S.NegativeOne**(a - S(3)/2) * exp(-z) * sqrt(z) + * Add(*[gamma(-S.Half - k) * (-z)**k / gamma(1-a) + for k in range(a - S.Half)])) + elif b.is_Integer: + return expint(-b, z)*unpolarify(z)**(b + 1) + + if not a.is_Integer: + return (S.NegativeOne**(S.Half - a) * pi*erfc(sqrt(z))/gamma(1-a) + - z**a * exp(-z) * Add(*[z**k * gamma(a) / gamma(a+k+1) + for k in range(S.Half - a)])) + + if a.is_zero and z.is_positive: + return -Ei(-z) + + if z.is_zero and re(a).is_positive: + return gamma(a) + + def _eval_conjugate(self): + z = self.args[1] + if z not in (S.Zero, S.NegativeInfinity): + return self.func(self.args[0].conjugate(), z.conjugate()) + + def _eval_is_meromorphic(self, x, a): + return lowergamma._eval_is_meromorphic(self, x, a) + + def _eval_rewrite_as_lowergamma(self, s, x, **kwargs): + return gamma(s) - lowergamma(s, x) + + def _eval_rewrite_as_tractable(self, s, x, **kwargs): + return exp(loggamma(s)) - lowergamma(s, x) + + def _eval_rewrite_as_expint(self, s, x, **kwargs): + from sympy.functions.special.error_functions import expint + return expint(1 - s, x)*x**s + + +############################################################################### +###################### POLYGAMMA and LOGGAMMA FUNCTIONS ####################### +############################################################################### + +class polygamma(DefinedFunction): + r""" + The function ``polygamma(n, z)`` returns ``log(gamma(z)).diff(n + 1)``. + + Explanation + =========== + + It is a meromorphic function on $\mathbb{C}$ and defined as the $(n+1)$-th + derivative of the logarithm of the gamma function: + + .. math:: + \psi^{(n)} (z) := \frac{\mathrm{d}^{n+1}}{\mathrm{d} z^{n+1}} \log\Gamma(z). + + For `n` not a nonnegative integer the generalization by Espinosa and Moll [5]_ + is used: + + .. math:: \psi(s,z) = \frac{\zeta'(s+1, z) + (\gamma + \psi(-s)) \zeta(s+1, z)} + {\Gamma(-s)} + + Examples + ======== + + Several special values are known: + + >>> from sympy import S, polygamma + >>> polygamma(0, 1) + -EulerGamma + >>> polygamma(0, 1/S(2)) + -2*log(2) - EulerGamma + >>> polygamma(0, 1/S(3)) + -log(3) - sqrt(3)*pi/6 - EulerGamma - log(sqrt(3)) + >>> polygamma(0, 1/S(4)) + -pi/2 - log(4) - log(2) - EulerGamma + >>> polygamma(0, 2) + 1 - EulerGamma + >>> polygamma(0, 23) + 19093197/5173168 - EulerGamma + + >>> from sympy import oo, I + >>> polygamma(0, oo) + oo + >>> polygamma(0, -oo) + oo + >>> polygamma(0, I*oo) + oo + >>> polygamma(0, -I*oo) + oo + + Differentiation with respect to $x$ is supported: + + >>> from sympy import Symbol, diff + >>> x = Symbol("x") + >>> diff(polygamma(0, x), x) + polygamma(1, x) + >>> diff(polygamma(0, x), x, 2) + polygamma(2, x) + >>> diff(polygamma(0, x), x, 3) + polygamma(3, x) + >>> diff(polygamma(1, x), x) + polygamma(2, x) + >>> diff(polygamma(1, x), x, 2) + polygamma(3, x) + >>> diff(polygamma(2, x), x) + polygamma(3, x) + >>> diff(polygamma(2, x), x, 2) + polygamma(4, x) + + >>> n = Symbol("n") + >>> diff(polygamma(n, x), x) + polygamma(n + 1, x) + >>> diff(polygamma(n, x), x, 2) + polygamma(n + 2, x) + + We can rewrite ``polygamma`` functions in terms of harmonic numbers: + + >>> from sympy import harmonic + >>> polygamma(0, x).rewrite(harmonic) + harmonic(x - 1) - EulerGamma + >>> polygamma(2, x).rewrite(harmonic) + 2*harmonic(x - 1, 3) - 2*zeta(3) + >>> ni = Symbol("n", integer=True) + >>> polygamma(ni, x).rewrite(harmonic) + (-1)**(n + 1)*(-harmonic(x - 1, n + 1) + zeta(n + 1))*factorial(n) + + See Also + ======== + + gamma: Gamma function. + lowergamma: Lower incomplete gamma function. + uppergamma: Upper incomplete gamma function. + loggamma: Log Gamma function. + digamma: Digamma function. + trigamma: Trigamma function. + sympy.functions.special.beta_functions.beta: Euler Beta function. + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Polygamma_function + .. [2] https://mathworld.wolfram.com/PolygammaFunction.html + .. [3] https://functions.wolfram.com/GammaBetaErf/PolyGamma/ + .. [4] https://functions.wolfram.com/GammaBetaErf/PolyGamma2/ + .. [5] O. Espinosa and V. Moll, "A generalized polygamma function", + *Integral Transforms and Special Functions* (2004), 101-115. + + """ + + @classmethod + def eval(cls, n, z): + if n is S.NaN or z is S.NaN: + return S.NaN + elif z is oo: + return oo if n.is_zero else S.Zero + elif z.is_Integer and z.is_nonpositive: + return S.ComplexInfinity + elif n is S.NegativeOne: + return loggamma(z) - log(2*pi) / 2 + elif n.is_zero: + if z is -oo or z.extract_multiplicatively(I) in (oo, -oo): + return oo + elif z.is_Integer: + return harmonic(z-1) - S.EulerGamma + elif z.is_Rational: + # TODO n == 1 also can do some rational z + p, q = z.as_numer_denom() + # only expand for small denominators to avoid creating long expressions + if q <= 6: + return expand_func(polygamma(S.Zero, z, evaluate=False)) + elif n.is_integer and n.is_nonnegative: + nz = unpolarify(z) + if z != nz: + return polygamma(n, nz) + if z.is_Integer: + return S.NegativeOne**(n+1) * factorial(n) * zeta(n+1, z) + elif z is S.Half: + return S.NegativeOne**(n+1) * factorial(n) * (2**(n+1)-1) * zeta(n+1) + + def _eval_is_real(self): + if self.args[0].is_positive and self.args[1].is_positive: + return True + + def _eval_is_complex(self): + z = self.args[1] + is_negative_integer = fuzzy_and([z.is_negative, z.is_integer]) + return fuzzy_and([z.is_complex, fuzzy_not(is_negative_integer)]) + + def _eval_is_positive(self): + n, z = self.args + if n.is_positive: + if n.is_odd and z.is_real: + return True + if n.is_even and z.is_positive: + return False + + def _eval_is_negative(self): + n, z = self.args + if n.is_positive: + if n.is_even and z.is_positive: + return True + if n.is_odd and z.is_real: + return False + + def _eval_expand_func(self, **hints): + n, z = self.args + + if n.is_Integer and n.is_nonnegative: + if z.is_Add: + coeff = z.args[0] + if coeff.is_Integer: + e = -(n + 1) + if coeff > 0: + tail = Add(*[Pow( + z - i, e) for i in range(1, int(coeff) + 1)]) + else: + tail = -Add(*[Pow( + z + i, e) for i in range(int(-coeff))]) + return polygamma(n, z - coeff) + S.NegativeOne**n*factorial(n)*tail + + elif z.is_Mul: + coeff, z = z.as_two_terms() + if coeff.is_Integer and coeff.is_positive: + tail = [polygamma(n, z + Rational( + i, coeff)) for i in range(int(coeff))] + if n == 0: + return Add(*tail)/coeff + log(coeff) + else: + return Add(*tail)/coeff**(n + 1) + z *= coeff + + if n == 0 and z.is_Rational: + p, q = z.as_numer_denom() + + # Reference: + # Values of the polygamma functions at rational arguments, J. Choi, 2007 + part_1 = -S.EulerGamma - pi * cot(p * pi / q) / 2 - log(q) + Add( + *[cos(2 * k * pi * p / q) * log(2 * sin(k * pi / q)) for k in range(1, q)]) + + if z > 0: + n = floor(z) + z0 = z - n + return part_1 + Add(*[1 / (z0 + k) for k in range(n)]) + elif z < 0: + n = floor(1 - z) + z0 = z + n + return part_1 - Add(*[1 / (z0 - 1 - k) for k in range(n)]) + + if n == -1: + return loggamma(z) - log(2*pi) / 2 + if n.is_integer is False or n.is_nonnegative is False: + s = Dummy("s") + dzt = zeta(s, z).diff(s).subs(s, n+1) + return (dzt + (S.EulerGamma + digamma(-n)) * zeta(n+1, z)) / gamma(-n) + + return polygamma(n, z) + + def _eval_rewrite_as_zeta(self, n, z, **kwargs): + if n.is_integer and n.is_positive: + return S.NegativeOne**(n + 1)*factorial(n)*zeta(n + 1, z) + + def _eval_rewrite_as_harmonic(self, n, z, **kwargs): + if n.is_integer: + if n.is_zero: + return harmonic(z - 1) - S.EulerGamma + else: + return S.NegativeOne**(n+1) * factorial(n) * (zeta(n+1) - harmonic(z-1, n+1)) + + def _eval_as_leading_term(self, x, logx, cdir): + from sympy.series.order import Order + n, z = [a.as_leading_term(x) for a in self.args] + o = Order(z, x) + if n == 0 and o.contains(1/x): + logx = log(x) if logx is None else logx + return o.getn() * logx + else: + return self.func(n, z) + + def fdiff(self, argindex=2): + if argindex == 2: + n, z = self.args[:2] + return polygamma(n + 1, z) + else: + raise ArgumentIndexError(self, argindex) + + def _eval_aseries(self, n, args0, x, logx): + from sympy.series.order import Order + if args0[1] != oo or not \ + (self.args[0].is_Integer and self.args[0].is_nonnegative): + return super()._eval_aseries(n, args0, x, logx) + z = self.args[1] + N = self.args[0] + + if N == 0: + # digamma function series + # Abramowitz & Stegun, p. 259, 6.3.18 + r = log(z) - 1/(2*z) + o = None + if n < 2: + o = Order(1/z, x) + else: + m = ceiling((n + 1)//2) + l = [bernoulli(2*k) / (2*k*z**(2*k)) for k in range(1, m)] + r -= Add(*l) + o = Order(1/z**n, x) + return r._eval_nseries(x, n, logx) + o + else: + # proper polygamma function + # Abramowitz & Stegun, p. 260, 6.4.10 + # We return terms to order higher than O(x**n) on purpose + # -- otherwise we would not be able to return any terms for + # quite a long time! + fac = gamma(N) + e0 = fac + N*fac/(2*z) + m = ceiling((n + 1)//2) + for k in range(1, m): + fac = fac*(2*k + N - 1)*(2*k + N - 2) / ((2*k)*(2*k - 1)) + e0 += bernoulli(2*k)*fac/z**(2*k) + o = Order(1/z**(2*m), x) + if n == 0: + o = Order(1/z, x) + elif n == 1: + o = Order(1/z**2, x) + r = e0._eval_nseries(z, n, logx) + o + return (-1 * (-1/z)**N * r)._eval_nseries(x, n, logx) + + def _eval_evalf(self, prec): + if not all(i.is_number for i in self.args): + return + s = self.args[0]._to_mpmath(prec+12) + z = self.args[1]._to_mpmath(prec+12) + if mp.isint(z) and z <= 0: + return S.ComplexInfinity + with workprec(prec+12): + if mp.isint(s) and s >= 0: + res = mp.polygamma(s, z) + else: + zt = mp.zeta(s+1, z) + dzt = mp.zeta(s+1, z, 1) + res = (dzt + (mp.euler + mp.digamma(-s)) * zt) * mp.rgamma(-s) + return Expr._from_mpmath(res, prec) + + +class loggamma(DefinedFunction): + r""" + The ``loggamma`` function implements the logarithm of the + gamma function (i.e., $\log\Gamma(x)$). + + Examples + ======== + + Several special values are known. For numerical integral + arguments we have: + + >>> from sympy import loggamma + >>> loggamma(-2) + oo + >>> loggamma(0) + oo + >>> loggamma(1) + 0 + >>> loggamma(2) + 0 + >>> loggamma(3) + log(2) + + And for symbolic values: + + >>> from sympy import Symbol + >>> n = Symbol("n", integer=True, positive=True) + >>> loggamma(n) + log(gamma(n)) + >>> loggamma(-n) + oo + + For half-integral values: + + >>> from sympy import S + >>> loggamma(S(5)/2) + log(3*sqrt(pi)/4) + >>> loggamma(n/2) + log(2**(1 - n)*sqrt(pi)*gamma(n)/gamma(n/2 + 1/2)) + + And general rational arguments: + + >>> from sympy import expand_func + >>> L = loggamma(S(16)/3) + >>> expand_func(L).doit() + -5*log(3) + loggamma(1/3) + log(4) + log(7) + log(10) + log(13) + >>> L = loggamma(S(19)/4) + >>> expand_func(L).doit() + -4*log(4) + loggamma(3/4) + log(3) + log(7) + log(11) + log(15) + >>> L = loggamma(S(23)/7) + >>> expand_func(L).doit() + -3*log(7) + log(2) + loggamma(2/7) + log(9) + log(16) + + The ``loggamma`` function has the following limits towards infinity: + + >>> from sympy import oo + >>> loggamma(oo) + oo + >>> loggamma(-oo) + zoo + + The ``loggamma`` function obeys the mirror symmetry + if $x \in \mathbb{C} \setminus \{-\infty, 0\}$: + + >>> from sympy.abc import x + >>> from sympy import conjugate + >>> conjugate(loggamma(x)) + loggamma(conjugate(x)) + + Differentiation with respect to $x$ is supported: + + >>> from sympy import diff + >>> diff(loggamma(x), x) + polygamma(0, x) + + Series expansion is also supported: + + >>> from sympy import series + >>> series(loggamma(x), x, 0, 4).cancel() + -log(x) - EulerGamma*x + pi**2*x**2/12 - x**3*zeta(3)/3 + O(x**4) + + We can numerically evaluate the ``loggamma`` function + to arbitrary precision on the whole complex plane: + + >>> from sympy import I + >>> loggamma(5).evalf(30) + 3.17805383034794561964694160130 + >>> loggamma(I).evalf(20) + -0.65092319930185633889 - 1.8724366472624298171*I + + See Also + ======== + + gamma: Gamma function. + lowergamma: Lower incomplete gamma function. + uppergamma: Upper incomplete gamma function. + polygamma: Polygamma function. + digamma: Digamma function. + trigamma: Trigamma function. + sympy.functions.special.beta_functions.beta: Euler Beta function. + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Gamma_function + .. [2] https://dlmf.nist.gov/5 + .. [3] https://mathworld.wolfram.com/LogGammaFunction.html + .. [4] https://functions.wolfram.com/GammaBetaErf/LogGamma/ + + """ + @classmethod + def eval(cls, z): + if z.is_integer: + if z.is_nonpositive: + return oo + elif z.is_positive: + return log(gamma(z)) + elif z.is_rational: + p, q = z.as_numer_denom() + # Half-integral values: + if p.is_positive and q == 2: + return log(sqrt(pi) * 2**(1 - p) * gamma(p) / gamma((p + 1)*S.Half)) + + if z is oo: + return oo + elif abs(z) is oo: + return S.ComplexInfinity + if z is S.NaN: + return S.NaN + + def _eval_expand_func(self, **hints): + from sympy.concrete.summations import Sum + z = self.args[0] + + if z.is_Rational: + p, q = z.as_numer_denom() + # General rational arguments (u + p/q) + # Split z as n + p/q with p < q + n = p // q + p = p - n*q + if p.is_positive and q.is_positive and p < q: + k = Dummy("k") + if n.is_positive: + return loggamma(p / q) - n*log(q) + Sum(log((k - 1)*q + p), (k, 1, n)) + elif n.is_negative: + return loggamma(p / q) - n*log(q) + pi*I*n - Sum(log(k*q - p), (k, 1, -n)) + elif n.is_zero: + return loggamma(p / q) + + return self + + def _eval_nseries(self, x, n, logx=None, cdir=0): + x0 = self.args[0].limit(x, 0) + if x0.is_zero: + f = self._eval_rewrite_as_intractable(*self.args) + return f._eval_nseries(x, n, logx) + return super()._eval_nseries(x, n, logx) + + def _eval_aseries(self, n, args0, x, logx): + from sympy.series.order import Order + if args0[0] != oo: + return super()._eval_aseries(n, args0, x, logx) + z = self.args[0] + r = log(z)*(z - S.Half) - z + log(2*pi)/2 + l = [bernoulli(2*k) / (2*k*(2*k - 1)*z**(2*k - 1)) for k in range(1, n)] + o = None + if n == 0: + o = Order(1, x) + else: + o = Order(1/z**n, x) + # It is very inefficient to first add the order and then do the nseries + return (r + Add(*l))._eval_nseries(x, n, logx) + o + + def _eval_rewrite_as_intractable(self, z, **kwargs): + return log(gamma(z)) + + def _eval_is_real(self): + z = self.args[0] + if z.is_positive: + return True + elif z.is_nonpositive: + return False + + def _eval_conjugate(self): + z = self.args[0] + if z not in (S.Zero, S.NegativeInfinity): + return self.func(z.conjugate()) + + def fdiff(self, argindex=1): + if argindex == 1: + return polygamma(0, self.args[0]) + else: + raise ArgumentIndexError(self, argindex) + + +class digamma(DefinedFunction): + r""" + The ``digamma`` function is the first derivative of the ``loggamma`` + function + + .. math:: + \psi(x) := \frac{\mathrm{d}}{\mathrm{d} z} \log\Gamma(z) + = \frac{\Gamma'(z)}{\Gamma(z) }. + + In this case, ``digamma(z) = polygamma(0, z)``. + + Examples + ======== + + >>> from sympy import digamma + >>> digamma(0) + zoo + >>> from sympy import Symbol + >>> z = Symbol('z') + >>> digamma(z) + polygamma(0, z) + + To retain ``digamma`` as it is: + + >>> digamma(0, evaluate=False) + digamma(0) + >>> digamma(z, evaluate=False) + digamma(z) + + See Also + ======== + + gamma: Gamma function. + lowergamma: Lower incomplete gamma function. + uppergamma: Upper incomplete gamma function. + polygamma: Polygamma function. + loggamma: Log Gamma function. + trigamma: Trigamma function. + sympy.functions.special.beta_functions.beta: Euler Beta function. + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Digamma_function + .. [2] https://mathworld.wolfram.com/DigammaFunction.html + .. [3] https://functions.wolfram.com/GammaBetaErf/PolyGamma2/ + + """ + def _eval_evalf(self, prec): + z = self.args[0] + nprec = prec_to_dps(prec) + return polygamma(0, z).evalf(n=nprec) + + def fdiff(self, argindex=1): + z = self.args[0] + return polygamma(0, z).fdiff() + + def _eval_is_real(self): + z = self.args[0] + return polygamma(0, z).is_real + + def _eval_is_positive(self): + z = self.args[0] + return polygamma(0, z).is_positive + + def _eval_is_negative(self): + z = self.args[0] + return polygamma(0, z).is_negative + + def _eval_aseries(self, n, args0, x, logx): + as_polygamma = self.rewrite(polygamma) + args0 = [S.Zero,] + args0 + return as_polygamma._eval_aseries(n, args0, x, logx) + + @classmethod + def eval(cls, z): + return polygamma(0, z) + + def _eval_expand_func(self, **hints): + z = self.args[0] + return polygamma(0, z).expand(func=True) + + def _eval_rewrite_as_harmonic(self, z, **kwargs): + return harmonic(z - 1) - S.EulerGamma + + def _eval_rewrite_as_polygamma(self, z, **kwargs): + return polygamma(0, z) + + def _eval_as_leading_term(self, x, logx, cdir): + z = self.args[0] + return polygamma(0, z).as_leading_term(x) + + + +class trigamma(DefinedFunction): + r""" + The ``trigamma`` function is the second derivative of the ``loggamma`` + function + + .. math:: + \psi^{(1)}(z) := \frac{\mathrm{d}^{2}}{\mathrm{d} z^{2}} \log\Gamma(z). + + In this case, ``trigamma(z) = polygamma(1, z)``. + + Examples + ======== + + >>> from sympy import trigamma + >>> trigamma(0) + zoo + >>> from sympy import Symbol + >>> z = Symbol('z') + >>> trigamma(z) + polygamma(1, z) + + To retain ``trigamma`` as it is: + + >>> trigamma(0, evaluate=False) + trigamma(0) + >>> trigamma(z, evaluate=False) + trigamma(z) + + + See Also + ======== + + gamma: Gamma function. + lowergamma: Lower incomplete gamma function. + uppergamma: Upper incomplete gamma function. + polygamma: Polygamma function. + loggamma: Log Gamma function. + digamma: Digamma function. + sympy.functions.special.beta_functions.beta: Euler Beta function. + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Trigamma_function + .. [2] https://mathworld.wolfram.com/TrigammaFunction.html + .. [3] https://functions.wolfram.com/GammaBetaErf/PolyGamma2/ + + """ + def _eval_evalf(self, prec): + z = self.args[0] + nprec = prec_to_dps(prec) + return polygamma(1, z).evalf(n=nprec) + + def fdiff(self, argindex=1): + z = self.args[0] + return polygamma(1, z).fdiff() + + def _eval_is_real(self): + z = self.args[0] + return polygamma(1, z).is_real + + def _eval_is_positive(self): + z = self.args[0] + return polygamma(1, z).is_positive + + def _eval_is_negative(self): + z = self.args[0] + return polygamma(1, z).is_negative + + def _eval_aseries(self, n, args0, x, logx): + as_polygamma = self.rewrite(polygamma) + args0 = [S.One,] + args0 + return as_polygamma._eval_aseries(n, args0, x, logx) + + @classmethod + def eval(cls, z): + return polygamma(1, z) + + def _eval_expand_func(self, **hints): + z = self.args[0] + return polygamma(1, z).expand(func=True) + + def _eval_rewrite_as_zeta(self, z, **kwargs): + return zeta(2, z) + + def _eval_rewrite_as_polygamma(self, z, **kwargs): + return polygamma(1, z) + + def _eval_rewrite_as_harmonic(self, z, **kwargs): + return -harmonic(z - 1, 2) + pi**2 / 6 + + def _eval_as_leading_term(self, x, logx, cdir): + z = self.args[0] + return polygamma(1, z).as_leading_term(x) + + +############################################################################### +##################### COMPLETE MULTIVARIATE GAMMA FUNCTION #################### +############################################################################### + + +class multigamma(DefinedFunction): + r""" + The multivariate gamma function is a generalization of the gamma function + + .. math:: + \Gamma_p(z) = \pi^{p(p-1)/4}\prod_{k=1}^p \Gamma[z + (1 - k)/2]. + + In a special case, ``multigamma(x, 1) = gamma(x)``. + + Examples + ======== + + >>> from sympy import S, multigamma + >>> from sympy import Symbol + >>> x = Symbol('x') + >>> p = Symbol('p', positive=True, integer=True) + + >>> multigamma(x, p) + pi**(p*(p - 1)/4)*Product(gamma(-_k/2 + x + 1/2), (_k, 1, p)) + + Several special values are known: + + >>> multigamma(1, 1) + 1 + >>> multigamma(4, 1) + 6 + >>> multigamma(S(3)/2, 1) + sqrt(pi)/2 + + Writing ``multigamma`` in terms of the ``gamma`` function: + + >>> multigamma(x, 1) + gamma(x) + + >>> multigamma(x, 2) + sqrt(pi)*gamma(x)*gamma(x - 1/2) + + >>> multigamma(x, 3) + pi**(3/2)*gamma(x)*gamma(x - 1)*gamma(x - 1/2) + + Parameters + ========== + + p : order or dimension of the multivariate gamma function + + See Also + ======== + + gamma, lowergamma, uppergamma, polygamma, loggamma, digamma, trigamma, + sympy.functions.special.beta_functions.beta + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Multivariate_gamma_function + + """ + unbranched = True + + def fdiff(self, argindex=2): + from sympy.concrete.summations import Sum + if argindex == 2: + x, p = self.args + k = Dummy("k") + return self.func(x, p)*Sum(polygamma(0, x + (1 - k)/2), (k, 1, p)) + else: + raise ArgumentIndexError(self, argindex) + + @classmethod + def eval(cls, x, p): + from sympy.concrete.products import Product + if p.is_positive is False or p.is_integer is False: + raise ValueError('Order parameter p must be positive integer.') + k = Dummy("k") + return (pi**(p*(p - 1)/4)*Product(gamma(x + (1 - k)/2), + (k, 1, p))).doit() + + def _eval_conjugate(self): + x, p = self.args + return self.func(x.conjugate(), p) + + def _eval_is_real(self): + x, p = self.args + y = 2*x + if y.is_integer and (y <= (p - 1)) is True: + return False + if intlike(y) and (y <= (p - 1)): + return False + if y > (p - 1) or y.is_noninteger: + return True diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/hyper.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/hyper.py new file mode 100644 index 0000000000000000000000000000000000000000..3943e140821222a510c609a071b5dbbf08883745 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/hyper.py @@ -0,0 +1,1185 @@ +"""Hypergeometric and Meijer G-functions""" +from collections import Counter + +from sympy.core import S, Mod +from sympy.core.add import Add +from sympy.core.expr import Expr +from sympy.core.function import DefinedFunction, Derivative, ArgumentIndexError + +from sympy.core.containers import Tuple +from sympy.core.mul import Mul +from sympy.core.numbers import I, pi, oo, zoo +from sympy.core.parameters import global_parameters +from sympy.core.relational import Ne +from sympy.core.sorting import default_sort_key +from sympy.core.symbol import Dummy + +from sympy.external.gmpy import lcm +from sympy.functions import (sqrt, exp, log, sin, cos, asin, atan, + sinh, cosh, asinh, acosh, atanh, acoth) +from sympy.functions import factorial, RisingFactorial +from sympy.functions.elementary.complexes import Abs, re, unpolarify +from sympy.functions.elementary.exponential import exp_polar +from sympy.functions.elementary.integers import ceiling +from sympy.functions.elementary.piecewise import Piecewise +from sympy.logic.boolalg import (And, Or) +from sympy import ordered + + +class TupleArg(Tuple): + + # This method is only needed because hyper._eval_as_leading_term falls back + # (via super()) on using Function._eval_as_leading_term, which in turn + # calls as_leading_term on the args of the hyper. Ideally hyper should just + # have an _eval_as_leading_term method that handles all cases and this + # method should be removed because leading terms of tuples don't make + # sense. + def as_leading_term(self, *x, logx=None, cdir=0): + return TupleArg(*[f.as_leading_term(*x, logx=logx, cdir=cdir) for f in self.args]) + + def limit(self, x, xlim, dir='+'): + """ Compute limit x->xlim. + """ + from sympy.series.limits import limit + return TupleArg(*[limit(f, x, xlim, dir) for f in self.args]) + + +# TODO should __new__ accept **options? +# TODO should constructors should check if parameters are sensible? + + +def _prep_tuple(v): + """ + Turn an iterable argument *v* into a tuple and unpolarify, since both + hypergeometric and meijer g-functions are unbranched in their parameters. + + Examples + ======== + + >>> from sympy.functions.special.hyper import _prep_tuple + >>> _prep_tuple([1, 2, 3]) + (1, 2, 3) + >>> _prep_tuple((4, 5)) + (4, 5) + >>> _prep_tuple((7, 8, 9)) + (7, 8, 9) + + """ + return TupleArg(*[unpolarify(x) for x in v]) + + +class TupleParametersBase(DefinedFunction): + """ Base class that takes care of differentiation, when some of + the arguments are actually tuples. """ + # This is not deduced automatically since there are Tuples as arguments. + is_commutative = True + + def _eval_derivative(self, s): + try: + res = 0 + if self.args[0].has(s) or self.args[1].has(s): + for i, p in enumerate(self._diffargs): + m = self._diffargs[i].diff(s) + if m != 0: + res += self.fdiff((1, i))*m + return res + self.fdiff(3)*self.args[2].diff(s) + except (ArgumentIndexError, NotImplementedError): + return Derivative(self, s) + + +class hyper(TupleParametersBase): + r""" + The generalized hypergeometric function is defined by a series where + the ratios of successive terms are a rational function of the summation + index. When convergent, it is continued analytically to the largest + possible domain. + + Explanation + =========== + + The hypergeometric function depends on two vectors of parameters, called + the numerator parameters $a_p$, and the denominator parameters + $b_q$. It also has an argument $z$. The series definition is + + .. math :: + {}_pF_q\left(\begin{matrix} a_1, \cdots, a_p \\ b_1, \cdots, b_q \end{matrix} + \middle| z \right) + = \sum_{n=0}^\infty \frac{(a_1)_n \cdots (a_p)_n}{(b_1)_n \cdots (b_q)_n} + \frac{z^n}{n!}, + + where $(a)_n = (a)(a+1)\cdots(a+n-1)$ denotes the rising factorial. + + If one of the $b_q$ is a non-positive integer then the series is + undefined unless one of the $a_p$ is a larger (i.e., smaller in + magnitude) non-positive integer. If none of the $b_q$ is a + non-positive integer and one of the $a_p$ is a non-positive + integer, then the series reduces to a polynomial. To simplify the + following discussion, we assume that none of the $a_p$ or + $b_q$ is a non-positive integer. For more details, see the + references. + + The series converges for all $z$ if $p \le q$, and thus + defines an entire single-valued function in this case. If $p = + q+1$ the series converges for $|z| < 1$, and can be continued + analytically into a half-plane. If $p > q+1$ the series is + divergent for all $z$. + + Please note the hypergeometric function constructor currently does *not* + check if the parameters actually yield a well-defined function. + + Examples + ======== + + The parameters $a_p$ and $b_q$ can be passed as arbitrary + iterables, for example: + + >>> from sympy import hyper + >>> from sympy.abc import x, n, a + >>> h = hyper((1, 2, 3), [3, 4], x); h + hyper((1, 2), (4,), x) + >>> hyper((3, 1, 2), [3, 4], x, evaluate=False) # don't remove duplicates + hyper((1, 2, 3), (3, 4), x) + + There is also pretty printing (it looks better using Unicode): + + >>> from sympy import pprint + >>> pprint(h, use_unicode=False) + _ + |_ /1, 2 | \ + | | | x| + 2 1 \ 4 | / + + The parameters must always be iterables, even if they are vectors of + length one or zero: + + >>> hyper((1, ), [], x) + hyper((1,), (), x) + + But of course they may be variables (but if they depend on $x$ then you + should not expect much implemented functionality): + + >>> hyper((n, a), (n**2,), x) + hyper((a, n), (n**2,), x) + + The hypergeometric function generalizes many named special functions. + The function ``hyperexpand()`` tries to express a hypergeometric function + using named special functions. For example: + + >>> from sympy import hyperexpand + >>> hyperexpand(hyper([], [], x)) + exp(x) + + You can also use ``expand_func()``: + + >>> from sympy import expand_func + >>> expand_func(x*hyper([1, 1], [2], -x)) + log(x + 1) + + More examples: + + >>> from sympy import S + >>> hyperexpand(hyper([], [S(1)/2], -x**2/4)) + cos(x) + >>> hyperexpand(x*hyper([S(1)/2, S(1)/2], [S(3)/2], x**2)) + asin(x) + + We can also sometimes ``hyperexpand()`` parametric functions: + + >>> from sympy.abc import a + >>> hyperexpand(hyper([-a], [], x)) + (1 - x)**a + + See Also + ======== + + sympy.simplify.hyperexpand + gamma + meijerg + + References + ========== + + .. [1] Luke, Y. L. (1969), The Special Functions and Their Approximations, + Volume 1 + .. [2] https://en.wikipedia.org/wiki/Generalized_hypergeometric_function + + """ + + + def __new__(cls, ap, bq, z, **kwargs): + # TODO should we check convergence conditions? + if kwargs.pop('evaluate', global_parameters.evaluate): + ca = Counter(Tuple(*ap)) + cb = Counter(Tuple(*bq)) + common = ca & cb + arg = ap, bq = [], [] + for i, c in enumerate((ca, cb)): + c -= common + for k in ordered(c): + arg[i].extend([k]*c[k]) + else: + ap = list(ordered(ap)) + bq = list(ordered(bq)) + return super().__new__(cls, _prep_tuple(ap), _prep_tuple(bq), z, **kwargs) + + @classmethod + def eval(cls, ap, bq, z): + if len(ap) <= len(bq) or (len(ap) == len(bq) + 1 and (Abs(z) <= 1) == True): + nz = unpolarify(z) + if z != nz: + return hyper(ap, bq, nz) + + def fdiff(self, argindex=3): + if argindex != 3: + raise ArgumentIndexError(self, argindex) + nap = Tuple(*[a + 1 for a in self.ap]) + nbq = Tuple(*[b + 1 for b in self.bq]) + fac = Mul(*self.ap)/Mul(*self.bq) + return fac*hyper(nap, nbq, self.argument) + + def _eval_expand_func(self, **hints): + from sympy.functions.special.gamma_functions import gamma + from sympy.simplify.hyperexpand import hyperexpand + if len(self.ap) == 2 and len(self.bq) == 1 and self.argument == 1: + a, b = self.ap + c = self.bq[0] + return gamma(c)*gamma(c - a - b)/gamma(c - a)/gamma(c - b) + return hyperexpand(self) + + def _eval_rewrite_as_Sum(self, ap, bq, z, **kwargs): + from sympy.concrete.summations import Sum + n = Dummy("n", integer=True) + rfap = [RisingFactorial(a, n) for a in ap] + rfbq = [RisingFactorial(b, n) for b in bq] + coeff = Mul(*rfap) / Mul(*rfbq) + return Piecewise((Sum(coeff * z**n / factorial(n), (n, 0, oo)), + self.convergence_statement), (self, True)) + + def _eval_as_leading_term(self, x, logx, cdir): + arg = self.args[2] + x0 = arg.subs(x, 0) + if x0 is S.NaN: + x0 = arg.limit(x, 0, dir='-' if re(cdir).is_negative else '+') + + if x0 is S.Zero: + return S.One + return super()._eval_as_leading_term(x, logx=logx, cdir=cdir) + + def _eval_nseries(self, x, n, logx, cdir=0): + + from sympy.series.order import Order + + arg = self.args[2] + x0 = arg.limit(x, 0) + ap = self.args[0] + bq = self.args[1] + + if not (arg == x and x0 == 0): + # It would be better to do something with arg.nseries here, rather + # than falling back on Function._eval_nseries. The code below + # though is not sufficient if arg is something like x/(x+1). + from sympy.simplify.hyperexpand import hyperexpand + return hyperexpand(super()._eval_nseries(x, n, logx)) + + terms = [] + + for i in range(n): + num = Mul(*[RisingFactorial(a, i) for a in ap]) + den = Mul(*[RisingFactorial(b, i) for b in bq]) + terms.append(((num/den) * (arg**i)) / factorial(i)) + + return (Add(*terms) + Order(x**n,x)) + + @property + def argument(self): + """ Argument of the hypergeometric function. """ + return self.args[2] + + @property + def ap(self): + """ Numerator parameters of the hypergeometric function. """ + return Tuple(*self.args[0]) + + @property + def bq(self): + """ Denominator parameters of the hypergeometric function. """ + return Tuple(*self.args[1]) + + @property + def _diffargs(self): + return self.ap + self.bq + + @property + def eta(self): + """ A quantity related to the convergence of the series. """ + return sum(self.ap) - sum(self.bq) + + @property + def radius_of_convergence(self): + """ + Compute the radius of convergence of the defining series. + + Explanation + =========== + + Note that even if this is not ``oo``, the function may still be + evaluated outside of the radius of convergence by analytic + continuation. But if this is zero, then the function is not actually + defined anywhere else. + + Examples + ======== + + >>> from sympy import hyper + >>> from sympy.abc import z + >>> hyper((1, 2), [3], z).radius_of_convergence + 1 + >>> hyper((1, 2, 3), [4], z).radius_of_convergence + 0 + >>> hyper((1, 2), (3, 4), z).radius_of_convergence + oo + + """ + if any(a.is_integer and (a <= 0) == True for a in self.ap + self.bq): + aints = [a for a in self.ap if a.is_Integer and (a <= 0) == True] + bints = [a for a in self.bq if a.is_Integer and (a <= 0) == True] + if len(aints) < len(bints): + return S.Zero + popped = False + for b in bints: + cancelled = False + while aints: + a = aints.pop() + if a >= b: + cancelled = True + break + popped = True + if not cancelled: + return S.Zero + if aints or popped: + # There are still non-positive numerator parameters. + # This is a polynomial. + return oo + if len(self.ap) == len(self.bq) + 1: + return S.One + elif len(self.ap) <= len(self.bq): + return oo + else: + return S.Zero + + @property + def convergence_statement(self): + """ Return a condition on z under which the series converges. """ + R = self.radius_of_convergence + if R == 0: + return False + if R == oo: + return True + # The special functions and their approximations, page 44 + e = self.eta + z = self.argument + c1 = And(re(e) < 0, abs(z) <= 1) + c2 = And(0 <= re(e), re(e) < 1, abs(z) <= 1, Ne(z, 1)) + c3 = And(re(e) >= 1, abs(z) < 1) + return Or(c1, c2, c3) + + def _eval_simplify(self, **kwargs): + from sympy.simplify.hyperexpand import hyperexpand + return hyperexpand(self) + + +class meijerg(TupleParametersBase): + r""" + The Meijer G-function is defined by a Mellin-Barnes type integral that + resembles an inverse Mellin transform. It generalizes the hypergeometric + functions. + + Explanation + =========== + + The Meijer G-function depends on four sets of parameters. There are + "*numerator parameters*" + $a_1, \ldots, a_n$ and $a_{n+1}, \ldots, a_p$, and there are + "*denominator parameters*" + $b_1, \ldots, b_m$ and $b_{m+1}, \ldots, b_q$. + Confusingly, it is traditionally denoted as follows (note the position + of $m$, $n$, $p$, $q$, and how they relate to the lengths of the four + parameter vectors): + + .. math :: + G_{p,q}^{m,n} \left(\begin{matrix}a_1, \cdots, a_n & a_{n+1}, \cdots, a_p \\ + b_1, \cdots, b_m & b_{m+1}, \cdots, b_q + \end{matrix} \middle| z \right). + + However, in SymPy the four parameter vectors are always available + separately (see examples), so that there is no need to keep track of the + decorating sub- and super-scripts on the G symbol. + + The G function is defined as the following integral: + + .. math :: + \frac{1}{2 \pi i} \int_L \frac{\prod_{j=1}^m \Gamma(b_j - s) + \prod_{j=1}^n \Gamma(1 - a_j + s)}{\prod_{j=m+1}^q \Gamma(1- b_j +s) + \prod_{j=n+1}^p \Gamma(a_j - s)} z^s \mathrm{d}s, + + where $\Gamma(z)$ is the gamma function. There are three possible + contours which we will not describe in detail here (see the references). + If the integral converges along more than one of them, the definitions + agree. The contours all separate the poles of $\Gamma(1-a_j+s)$ + from the poles of $\Gamma(b_k-s)$, so in particular the G function + is undefined if $a_j - b_k \in \mathbb{Z}_{>0}$ for some + $j \le n$ and $k \le m$. + + The conditions under which one of the contours yields a convergent integral + are complicated and we do not state them here, see the references. + + Please note currently the Meijer G-function constructor does *not* check any + convergence conditions. + + Examples + ======== + + You can pass the parameters either as four separate vectors: + + >>> from sympy import meijerg, Tuple, pprint + >>> from sympy.abc import x, a + >>> pprint(meijerg((1, 2), (a, 4), (5,), [], x), use_unicode=False) + __1, 2 /1, 2 4, a | \ + /__ | | x| + \_|4, 1 \ 5 | / + + Or as two nested vectors: + + >>> pprint(meijerg([(1, 2), (3, 4)], ([5], Tuple()), x), use_unicode=False) + __1, 2 /1, 2 3, 4 | \ + /__ | | x| + \_|4, 1 \ 5 | / + + As with the hypergeometric function, the parameters may be passed as + arbitrary iterables. Vectors of length zero and one also have to be + passed as iterables. The parameters need not be constants, but if they + depend on the argument then not much implemented functionality should be + expected. + + All the subvectors of parameters are available: + + >>> from sympy import pprint + >>> g = meijerg([1], [2], [3], [4], x) + >>> pprint(g, use_unicode=False) + __1, 1 /1 2 | \ + /__ | | x| + \_|2, 2 \3 4 | / + >>> g.an + (1,) + >>> g.ap + (1, 2) + >>> g.aother + (2,) + >>> g.bm + (3,) + >>> g.bq + (3, 4) + >>> g.bother + (4,) + + The Meijer G-function generalizes the hypergeometric functions. + In some cases it can be expressed in terms of hypergeometric functions, + using Slater's theorem. For example: + + >>> from sympy import hyperexpand + >>> from sympy.abc import a, b, c + >>> hyperexpand(meijerg([a], [], [c], [b], x), allow_hyper=True) + x**c*gamma(-a + c + 1)*hyper((-a + c + 1,), + (-b + c + 1,), -x)/gamma(-b + c + 1) + + Thus the Meijer G-function also subsumes many named functions as special + cases. You can use ``expand_func()`` or ``hyperexpand()`` to (try to) + rewrite a Meijer G-function in terms of named special functions. For + example: + + >>> from sympy import expand_func, S + >>> expand_func(meijerg([[],[]], [[0],[]], -x)) + exp(x) + >>> hyperexpand(meijerg([[],[]], [[S(1)/2],[0]], (x/2)**2)) + sin(x)/sqrt(pi) + + See Also + ======== + + hyper + sympy.simplify.hyperexpand + + References + ========== + + .. [1] Luke, Y. L. (1969), The Special Functions and Their Approximations, + Volume 1 + .. [2] https://en.wikipedia.org/wiki/Meijer_G-function + + """ + + + def __new__(cls, *args, **kwargs): + if len(args) == 5: + args = [(args[0], args[1]), (args[2], args[3]), args[4]] + if len(args) != 3: + raise TypeError("args must be either as, as', bs, bs', z or " + "as, bs, z") + + def tr(p): + if len(p) != 2: + raise TypeError("wrong argument") + p = [list(ordered(i)) for i in p] + return TupleArg(_prep_tuple(p[0]), _prep_tuple(p[1])) + + arg0, arg1 = tr(args[0]), tr(args[1]) + if Tuple(arg0, arg1).has(oo, zoo, -oo): + raise ValueError("G-function parameters must be finite") + if any((a - b).is_Integer and a - b > 0 + for a in arg0[0] for b in arg1[0]): + raise ValueError("no parameter a1, ..., an may differ from " + "any b1, ..., bm by a positive integer") + + # TODO should we check convergence conditions? + return super().__new__(cls, arg0, arg1, args[2], **kwargs) + + def fdiff(self, argindex=3): + if argindex != 3: + return self._diff_wrt_parameter(argindex[1]) + if len(self.an) >= 1: + a = list(self.an) + a[0] -= 1 + G = meijerg(a, self.aother, self.bm, self.bother, self.argument) + return 1/self.argument * ((self.an[0] - 1)*self + G) + elif len(self.bm) >= 1: + b = list(self.bm) + b[0] += 1 + G = meijerg(self.an, self.aother, b, self.bother, self.argument) + return 1/self.argument * (self.bm[0]*self - G) + else: + return S.Zero + + def _diff_wrt_parameter(self, idx): + # Differentiation wrt a parameter can only be done in very special + # cases. In particular, if we want to differentiate with respect to + # `a`, all other gamma factors have to reduce to rational functions. + # + # Let MT denote mellin transform. Suppose T(-s) is the gamma factor + # appearing in the definition of G. Then + # + # MT(log(z)G(z)) = d/ds T(s) = d/da T(s) + ... + # + # Thus d/da G(z) = log(z)G(z) - ... + # The ... can be evaluated as a G function under the above conditions, + # the formula being most easily derived by using + # + # d Gamma(s + n) Gamma(s + n) / 1 1 1 \ + # -- ------------ = ------------ | - + ---- + ... + --------- | + # ds Gamma(s) Gamma(s) \ s s + 1 s + n - 1 / + # + # which follows from the difference equation of the digamma function. + # (There is a similar equation for -n instead of +n). + + # We first figure out how to pair the parameters. + an = list(self.an) + ap = list(self.aother) + bm = list(self.bm) + bq = list(self.bother) + if idx < len(an): + an.pop(idx) + else: + idx -= len(an) + if idx < len(ap): + ap.pop(idx) + else: + idx -= len(ap) + if idx < len(bm): + bm.pop(idx) + else: + bq.pop(idx - len(bm)) + pairs1 = [] + pairs2 = [] + for l1, l2, pairs in [(an, bq, pairs1), (ap, bm, pairs2)]: + while l1: + x = l1.pop() + found = None + for i, y in enumerate(l2): + if not Mod((x - y).simplify(), 1): + found = i + break + if found is None: + raise NotImplementedError('Derivative not expressible ' + 'as G-function?') + y = l2[i] + l2.pop(i) + pairs.append((x, y)) + + # Now build the result. + res = log(self.argument)*self + + for a, b in pairs1: + sign = 1 + n = a - b + base = b + if n < 0: + sign = -1 + n = b - a + base = a + for k in range(n): + res -= sign*meijerg(self.an + (base + k + 1,), self.aother, + self.bm, self.bother + (base + k + 0,), + self.argument) + + for a, b in pairs2: + sign = 1 + n = b - a + base = a + if n < 0: + sign = -1 + n = a - b + base = b + for k in range(n): + res -= sign*meijerg(self.an, self.aother + (base + k + 1,), + self.bm + (base + k + 0,), self.bother, + self.argument) + + return res + + def get_period(self): + """ + Return a number $P$ such that $G(x*exp(I*P)) == G(x)$. + + Examples + ======== + + >>> from sympy import meijerg, pi, S + >>> from sympy.abc import z + + >>> meijerg([1], [], [], [], z).get_period() + 2*pi + >>> meijerg([pi], [], [], [], z).get_period() + oo + >>> meijerg([1, 2], [], [], [], z).get_period() + oo + >>> meijerg([1,1], [2], [1, S(1)/2, S(1)/3], [1], z).get_period() + 12*pi + + """ + # This follows from slater's theorem. + def compute(l): + # first check that no two differ by an integer + for i, b in enumerate(l): + if not b.is_Rational: + return oo + for j in range(i + 1, len(l)): + if not Mod((b - l[j]).simplify(), 1): + return oo + return lcm(*(x.q for x in l)) + beta = compute(self.bm) + alpha = compute(self.an) + p, q = len(self.ap), len(self.bq) + if p == q: + if oo in (alpha, beta): + return oo + return 2*pi*lcm(alpha, beta) + elif p < q: + return 2*pi*beta + else: + return 2*pi*alpha + + def _eval_expand_func(self, **hints): + from sympy.simplify.hyperexpand import hyperexpand + return hyperexpand(self) + + def _eval_evalf(self, prec): + # The default code is insufficient for polar arguments. + # mpmath provides an optional argument "r", which evaluates + # G(z**(1/r)). I am not sure what its intended use is, but we hijack it + # here in the following way: to evaluate at a number z of |argument| + # less than (say) n*pi, we put r=1/n, compute z' = root(z, n) + # (carefully so as not to loose the branch information), and evaluate + # G(z'**(1/r)) = G(z'**n) = G(z). + import mpmath + znum = self.argument._eval_evalf(prec) + if znum.has(exp_polar): + znum, branch = znum.as_coeff_mul(exp_polar) + if len(branch) != 1: + return + branch = branch[0].args[0]/I + else: + branch = S.Zero + n = ceiling(abs(branch/pi)) + 1 + znum = znum**(S.One/n)*exp(I*branch / n) + + # Convert all args to mpf or mpc + try: + [z, r, ap, bq] = [arg._to_mpmath(prec) + for arg in [znum, 1/n, self.args[0], self.args[1]]] + except ValueError: + return + + with mpmath.workprec(prec): + v = mpmath.meijerg(ap, bq, z, r) + + return Expr._from_mpmath(v, prec) + + def _eval_as_leading_term(self, x, logx, cdir): + from sympy.simplify.hyperexpand import hyperexpand + return hyperexpand(self).as_leading_term(x, logx=logx, cdir=cdir) + + def integrand(self, s): + """ Get the defining integrand D(s). """ + from sympy.functions.special.gamma_functions import gamma + return self.argument**s \ + * Mul(*(gamma(b - s) for b in self.bm)) \ + * Mul(*(gamma(1 - a + s) for a in self.an)) \ + / Mul(*(gamma(1 - b + s) for b in self.bother)) \ + / Mul(*(gamma(a - s) for a in self.aother)) + + @property + def argument(self): + """ Argument of the Meijer G-function. """ + return self.args[2] + + @property + def an(self): + """ First set of numerator parameters. """ + return Tuple(*self.args[0][0]) + + @property + def ap(self): + """ Combined numerator parameters. """ + return Tuple(*(self.args[0][0] + self.args[0][1])) + + @property + def aother(self): + """ Second set of numerator parameters. """ + return Tuple(*self.args[0][1]) + + @property + def bm(self): + """ First set of denominator parameters. """ + return Tuple(*self.args[1][0]) + + @property + def bq(self): + """ Combined denominator parameters. """ + return Tuple(*(self.args[1][0] + self.args[1][1])) + + @property + def bother(self): + """ Second set of denominator parameters. """ + return Tuple(*self.args[1][1]) + + @property + def _diffargs(self): + return self.ap + self.bq + + @property + def nu(self): + """ A quantity related to the convergence region of the integral, + c.f. references. """ + return sum(self.bq) - sum(self.ap) + + @property + def delta(self): + """ A quantity related to the convergence region of the integral, + c.f. references. """ + return len(self.bm) + len(self.an) - S(len(self.ap) + len(self.bq))/2 + + @property + def is_number(self): + """ Returns true if expression has numeric data only. """ + return not self.free_symbols + + +class HyperRep(DefinedFunction): + """ + A base class for "hyper representation functions". + + This is used exclusively in ``hyperexpand()``, but fits more logically here. + + pFq is branched at 1 if p == q+1. For use with slater-expansion, we want + define an "analytic continuation" to all polar numbers, which is + continuous on circles and on the ray t*exp_polar(I*pi). Moreover, we want + a "nice" expression for the various cases. + + This base class contains the core logic, concrete derived classes only + supply the actual functions. + + """ + + + @classmethod + def eval(cls, *args): + newargs = tuple(map(unpolarify, args[:-1])) + args[-1:] + if args != newargs: + return cls(*newargs) + + @classmethod + def _expr_small(cls, x): + """ An expression for F(x) which holds for |x| < 1. """ + raise NotImplementedError + + @classmethod + def _expr_small_minus(cls, x): + """ An expression for F(-x) which holds for |x| < 1. """ + raise NotImplementedError + + @classmethod + def _expr_big(cls, x, n): + """ An expression for F(exp_polar(2*I*pi*n)*x), |x| > 1. """ + raise NotImplementedError + + @classmethod + def _expr_big_minus(cls, x, n): + """ An expression for F(exp_polar(2*I*pi*n + pi*I)*x), |x| > 1. """ + raise NotImplementedError + + def _eval_rewrite_as_nonrep(self, *args, **kwargs): + x, n = self.args[-1].extract_branch_factor(allow_half=True) + minus = False + newargs = self.args[:-1] + (x,) + if not n.is_Integer: + minus = True + n -= S.Half + newerargs = newargs + (n,) + if minus: + small = self._expr_small_minus(*newargs) + big = self._expr_big_minus(*newerargs) + else: + small = self._expr_small(*newargs) + big = self._expr_big(*newerargs) + + if big == small: + return small + return Piecewise((big, abs(x) > 1), (small, True)) + + def _eval_rewrite_as_nonrepsmall(self, *args, **kwargs): + x, n = self.args[-1].extract_branch_factor(allow_half=True) + args = self.args[:-1] + (x,) + if not n.is_Integer: + return self._expr_small_minus(*args) + return self._expr_small(*args) + + +class HyperRep_power1(HyperRep): + """ Return a representative for hyper([-a], [], z) == (1 - z)**a. """ + + @classmethod + def _expr_small(cls, a, x): + return (1 - x)**a + + @classmethod + def _expr_small_minus(cls, a, x): + return (1 + x)**a + + @classmethod + def _expr_big(cls, a, x, n): + if a.is_integer: + return cls._expr_small(a, x) + return (x - 1)**a*exp((2*n - 1)*pi*I*a) + + @classmethod + def _expr_big_minus(cls, a, x, n): + if a.is_integer: + return cls._expr_small_minus(a, x) + return (1 + x)**a*exp(2*n*pi*I*a) + + +class HyperRep_power2(HyperRep): + """ Return a representative for hyper([a, a - 1/2], [2*a], z). """ + + @classmethod + def _expr_small(cls, a, x): + return 2**(2*a - 1)*(1 + sqrt(1 - x))**(1 - 2*a) + + @classmethod + def _expr_small_minus(cls, a, x): + return 2**(2*a - 1)*(1 + sqrt(1 + x))**(1 - 2*a) + + @classmethod + def _expr_big(cls, a, x, n): + sgn = -1 + if n.is_odd: + sgn = 1 + n -= 1 + return 2**(2*a - 1)*(1 + sgn*I*sqrt(x - 1))**(1 - 2*a) \ + *exp(-2*n*pi*I*a) + + @classmethod + def _expr_big_minus(cls, a, x, n): + sgn = 1 + if n.is_odd: + sgn = -1 + return sgn*2**(2*a - 1)*(sqrt(1 + x) + sgn)**(1 - 2*a)*exp(-2*pi*I*a*n) + + +class HyperRep_log1(HyperRep): + """ Represent -z*hyper([1, 1], [2], z) == log(1 - z). """ + @classmethod + def _expr_small(cls, x): + return log(1 - x) + + @classmethod + def _expr_small_minus(cls, x): + return log(1 + x) + + @classmethod + def _expr_big(cls, x, n): + return log(x - 1) + (2*n - 1)*pi*I + + @classmethod + def _expr_big_minus(cls, x, n): + return log(1 + x) + 2*n*pi*I + + +class HyperRep_atanh(HyperRep): + """ Represent hyper([1/2, 1], [3/2], z) == atanh(sqrt(z))/sqrt(z). """ + @classmethod + def _expr_small(cls, x): + return atanh(sqrt(x))/sqrt(x) + + def _expr_small_minus(cls, x): + return atan(sqrt(x))/sqrt(x) + + def _expr_big(cls, x, n): + if n.is_even: + return (acoth(sqrt(x)) + I*pi/2)/sqrt(x) + else: + return (acoth(sqrt(x)) - I*pi/2)/sqrt(x) + + def _expr_big_minus(cls, x, n): + if n.is_even: + return atan(sqrt(x))/sqrt(x) + else: + return (atan(sqrt(x)) - pi)/sqrt(x) + + +class HyperRep_asin1(HyperRep): + """ Represent hyper([1/2, 1/2], [3/2], z) == asin(sqrt(z))/sqrt(z). """ + @classmethod + def _expr_small(cls, z): + return asin(sqrt(z))/sqrt(z) + + @classmethod + def _expr_small_minus(cls, z): + return asinh(sqrt(z))/sqrt(z) + + @classmethod + def _expr_big(cls, z, n): + return S.NegativeOne**n*((S.Half - n)*pi/sqrt(z) + I*acosh(sqrt(z))/sqrt(z)) + + @classmethod + def _expr_big_minus(cls, z, n): + return S.NegativeOne**n*(asinh(sqrt(z))/sqrt(z) + n*pi*I/sqrt(z)) + + +class HyperRep_asin2(HyperRep): + """ Represent hyper([1, 1], [3/2], z) == asin(sqrt(z))/sqrt(z)/sqrt(1-z). """ + # TODO this can be nicer + @classmethod + def _expr_small(cls, z): + return HyperRep_asin1._expr_small(z) \ + /HyperRep_power1._expr_small(S.Half, z) + + @classmethod + def _expr_small_minus(cls, z): + return HyperRep_asin1._expr_small_minus(z) \ + /HyperRep_power1._expr_small_minus(S.Half, z) + + @classmethod + def _expr_big(cls, z, n): + return HyperRep_asin1._expr_big(z, n) \ + /HyperRep_power1._expr_big(S.Half, z, n) + + @classmethod + def _expr_big_minus(cls, z, n): + return HyperRep_asin1._expr_big_minus(z, n) \ + /HyperRep_power1._expr_big_minus(S.Half, z, n) + + +class HyperRep_sqrts1(HyperRep): + """ Return a representative for hyper([-a, 1/2 - a], [1/2], z). """ + + @classmethod + def _expr_small(cls, a, z): + return ((1 - sqrt(z))**(2*a) + (1 + sqrt(z))**(2*a))/2 + + @classmethod + def _expr_small_minus(cls, a, z): + return (1 + z)**a*cos(2*a*atan(sqrt(z))) + + @classmethod + def _expr_big(cls, a, z, n): + if n.is_even: + return ((sqrt(z) + 1)**(2*a)*exp(2*pi*I*n*a) + + (sqrt(z) - 1)**(2*a)*exp(2*pi*I*(n - 1)*a))/2 + else: + n -= 1 + return ((sqrt(z) - 1)**(2*a)*exp(2*pi*I*a*(n + 1)) + + (sqrt(z) + 1)**(2*a)*exp(2*pi*I*a*n))/2 + + @classmethod + def _expr_big_minus(cls, a, z, n): + if n.is_even: + return (1 + z)**a*exp(2*pi*I*n*a)*cos(2*a*atan(sqrt(z))) + else: + return (1 + z)**a*exp(2*pi*I*n*a)*cos(2*a*atan(sqrt(z)) - 2*pi*a) + + +class HyperRep_sqrts2(HyperRep): + """ Return a representative for + sqrt(z)/2*[(1-sqrt(z))**2a - (1 + sqrt(z))**2a] + == -2*z/(2*a+1) d/dz hyper([-a - 1/2, -a], [1/2], z)""" + + @classmethod + def _expr_small(cls, a, z): + return sqrt(z)*((1 - sqrt(z))**(2*a) - (1 + sqrt(z))**(2*a))/2 + + @classmethod + def _expr_small_minus(cls, a, z): + return sqrt(z)*(1 + z)**a*sin(2*a*atan(sqrt(z))) + + @classmethod + def _expr_big(cls, a, z, n): + if n.is_even: + return sqrt(z)/2*((sqrt(z) - 1)**(2*a)*exp(2*pi*I*a*(n - 1)) - + (sqrt(z) + 1)**(2*a)*exp(2*pi*I*a*n)) + else: + n -= 1 + return sqrt(z)/2*((sqrt(z) - 1)**(2*a)*exp(2*pi*I*a*(n + 1)) - + (sqrt(z) + 1)**(2*a)*exp(2*pi*I*a*n)) + + def _expr_big_minus(cls, a, z, n): + if n.is_even: + return (1 + z)**a*exp(2*pi*I*n*a)*sqrt(z)*sin(2*a*atan(sqrt(z))) + else: + return (1 + z)**a*exp(2*pi*I*n*a)*sqrt(z) \ + *sin(2*a*atan(sqrt(z)) - 2*pi*a) + + +class HyperRep_log2(HyperRep): + """ Represent log(1/2 + sqrt(1 - z)/2) == -z/4*hyper([3/2, 1, 1], [2, 2], z) """ + + @classmethod + def _expr_small(cls, z): + return log(S.Half + sqrt(1 - z)/2) + + @classmethod + def _expr_small_minus(cls, z): + return log(S.Half + sqrt(1 + z)/2) + + @classmethod + def _expr_big(cls, z, n): + if n.is_even: + return (n - S.Half)*pi*I + log(sqrt(z)/2) + I*asin(1/sqrt(z)) + else: + return (n - S.Half)*pi*I + log(sqrt(z)/2) - I*asin(1/sqrt(z)) + + def _expr_big_minus(cls, z, n): + if n.is_even: + return pi*I*n + log(S.Half + sqrt(1 + z)/2) + else: + return pi*I*n + log(sqrt(1 + z)/2 - S.Half) + + +class HyperRep_cosasin(HyperRep): + """ Represent hyper([a, -a], [1/2], z) == cos(2*a*asin(sqrt(z))). """ + # Note there are many alternative expressions, e.g. as powers of a sum of + # square roots. + + @classmethod + def _expr_small(cls, a, z): + return cos(2*a*asin(sqrt(z))) + + @classmethod + def _expr_small_minus(cls, a, z): + return cosh(2*a*asinh(sqrt(z))) + + @classmethod + def _expr_big(cls, a, z, n): + return cosh(2*a*acosh(sqrt(z)) + a*pi*I*(2*n - 1)) + + @classmethod + def _expr_big_minus(cls, a, z, n): + return cosh(2*a*asinh(sqrt(z)) + 2*a*pi*I*n) + + +class HyperRep_sinasin(HyperRep): + """ Represent 2*a*z*hyper([1 - a, 1 + a], [3/2], z) + == sqrt(z)/sqrt(1-z)*sin(2*a*asin(sqrt(z))) """ + + @classmethod + def _expr_small(cls, a, z): + return sqrt(z)/sqrt(1 - z)*sin(2*a*asin(sqrt(z))) + + @classmethod + def _expr_small_minus(cls, a, z): + return -sqrt(z)/sqrt(1 + z)*sinh(2*a*asinh(sqrt(z))) + + @classmethod + def _expr_big(cls, a, z, n): + return -1/sqrt(1 - 1/z)*sinh(2*a*acosh(sqrt(z)) + a*pi*I*(2*n - 1)) + + @classmethod + def _expr_big_minus(cls, a, z, n): + return -1/sqrt(1 + 1/z)*sinh(2*a*asinh(sqrt(z)) + 2*a*pi*I*n) + +class appellf1(DefinedFunction): + r""" + This is the Appell hypergeometric function of two variables as: + + .. math :: + F_1(a,b_1,b_2,c,x,y) = \sum_{m=0}^{\infty} \sum_{n=0}^{\infty} + \frac{(a)_{m+n} (b_1)_m (b_2)_n}{(c)_{m+n}} + \frac{x^m y^n}{m! n!}. + + Examples + ======== + + >>> from sympy import appellf1, symbols + >>> x, y, a, b1, b2, c = symbols('x y a b1 b2 c') + >>> appellf1(2., 1., 6., 4., 5., 6.) + 0.0063339426292673 + >>> appellf1(12., 12., 6., 4., 0.5, 0.12) + 172870711.659936 + >>> appellf1(40, 2, 6, 4, 15, 60) + appellf1(40, 2, 6, 4, 15, 60) + >>> appellf1(20., 12., 10., 3., 0.5, 0.12) + 15605338197184.4 + >>> appellf1(40, 2, 6, 4, x, y) + appellf1(40, 2, 6, 4, x, y) + >>> appellf1(a, b1, b2, c, x, y) + appellf1(a, b1, b2, c, x, y) + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Appell_series + .. [2] https://functions.wolfram.com/HypergeometricFunctions/AppellF1/ + + """ + + @classmethod + def eval(cls, a, b1, b2, c, x, y): + if default_sort_key(b1) > default_sort_key(b2): + b1, b2 = b2, b1 + x, y = y, x + return cls(a, b1, b2, c, x, y) + elif b1 == b2 and default_sort_key(x) > default_sort_key(y): + x, y = y, x + return cls(a, b1, b2, c, x, y) + if x == 0 and y == 0: + return S.One + + def fdiff(self, argindex=5): + a, b1, b2, c, x, y = self.args + if argindex == 5: + return (a*b1/c)*appellf1(a + 1, b1 + 1, b2, c + 1, x, y) + elif argindex == 6: + return (a*b2/c)*appellf1(a + 1, b1, b2 + 1, c + 1, x, y) + elif argindex in (1, 2, 3, 4): + return Derivative(self, self.args[argindex-1]) + else: + raise ArgumentIndexError(self, argindex) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/mathieu_functions.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/mathieu_functions.py new file mode 100644 index 0000000000000000000000000000000000000000..66bccd8d3e6dd357e1e0b93fb5cb5ad4c5f1367f --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/mathieu_functions.py @@ -0,0 +1,269 @@ +""" This module contains the Mathieu functions. +""" + +from sympy.core.function import DefinedFunction, ArgumentIndexError +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.trigonometric import sin, cos + + +class MathieuBase(DefinedFunction): + """ + Abstract base class for Mathieu functions. + + This class is meant to reduce code duplication. + + """ + + unbranched = True + + def _eval_conjugate(self): + a, q, z = self.args + return self.func(a.conjugate(), q.conjugate(), z.conjugate()) + + +class mathieus(MathieuBase): + r""" + The Mathieu Sine function $S(a,q,z)$. + + Explanation + =========== + + This function is one solution of the Mathieu differential equation: + + .. math :: + y(x)^{\prime\prime} + (a - 2 q \cos(2 x)) y(x) = 0 + + The other solution is the Mathieu Cosine function. + + Examples + ======== + + >>> from sympy import diff, mathieus + >>> from sympy.abc import a, q, z + + >>> mathieus(a, q, z) + mathieus(a, q, z) + + >>> mathieus(a, 0, z) + sin(sqrt(a)*z) + + >>> diff(mathieus(a, q, z), z) + mathieusprime(a, q, z) + + See Also + ======== + + mathieuc: Mathieu cosine function. + mathieusprime: Derivative of Mathieu sine function. + mathieucprime: Derivative of Mathieu cosine function. + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Mathieu_function + .. [2] https://dlmf.nist.gov/28 + .. [3] https://mathworld.wolfram.com/MathieuFunction.html + .. [4] https://functions.wolfram.com/MathieuandSpheroidalFunctions/MathieuS/ + + """ + + def fdiff(self, argindex=1): + if argindex == 3: + a, q, z = self.args + return mathieusprime(a, q, z) + else: + raise ArgumentIndexError(self, argindex) + + @classmethod + def eval(cls, a, q, z): + if q.is_Number and q.is_zero: + return sin(sqrt(a)*z) + # Try to pull out factors of -1 + if z.could_extract_minus_sign(): + return -cls(a, q, -z) + + +class mathieuc(MathieuBase): + r""" + The Mathieu Cosine function $C(a,q,z)$. + + Explanation + =========== + + This function is one solution of the Mathieu differential equation: + + .. math :: + y(x)^{\prime\prime} + (a - 2 q \cos(2 x)) y(x) = 0 + + The other solution is the Mathieu Sine function. + + Examples + ======== + + >>> from sympy import diff, mathieuc + >>> from sympy.abc import a, q, z + + >>> mathieuc(a, q, z) + mathieuc(a, q, z) + + >>> mathieuc(a, 0, z) + cos(sqrt(a)*z) + + >>> diff(mathieuc(a, q, z), z) + mathieucprime(a, q, z) + + See Also + ======== + + mathieus: Mathieu sine function + mathieusprime: Derivative of Mathieu sine function + mathieucprime: Derivative of Mathieu cosine function + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Mathieu_function + .. [2] https://dlmf.nist.gov/28 + .. [3] https://mathworld.wolfram.com/MathieuFunction.html + .. [4] https://functions.wolfram.com/MathieuandSpheroidalFunctions/MathieuC/ + + """ + + def fdiff(self, argindex=1): + if argindex == 3: + a, q, z = self.args + return mathieucprime(a, q, z) + else: + raise ArgumentIndexError(self, argindex) + + @classmethod + def eval(cls, a, q, z): + if q.is_Number and q.is_zero: + return cos(sqrt(a)*z) + # Try to pull out factors of -1 + if z.could_extract_minus_sign(): + return cls(a, q, -z) + + +class mathieusprime(MathieuBase): + r""" + The derivative $S^{\prime}(a,q,z)$ of the Mathieu Sine function. + + Explanation + =========== + + This function is one solution of the Mathieu differential equation: + + .. math :: + y(x)^{\prime\prime} + (a - 2 q \cos(2 x)) y(x) = 0 + + The other solution is the Mathieu Cosine function. + + Examples + ======== + + >>> from sympy import diff, mathieusprime + >>> from sympy.abc import a, q, z + + >>> mathieusprime(a, q, z) + mathieusprime(a, q, z) + + >>> mathieusprime(a, 0, z) + sqrt(a)*cos(sqrt(a)*z) + + >>> diff(mathieusprime(a, q, z), z) + (-a + 2*q*cos(2*z))*mathieus(a, q, z) + + See Also + ======== + + mathieus: Mathieu sine function + mathieuc: Mathieu cosine function + mathieucprime: Derivative of Mathieu cosine function + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Mathieu_function + .. [2] https://dlmf.nist.gov/28 + .. [3] https://mathworld.wolfram.com/MathieuFunction.html + .. [4] https://functions.wolfram.com/MathieuandSpheroidalFunctions/MathieuSPrime/ + + """ + + def fdiff(self, argindex=1): + if argindex == 3: + a, q, z = self.args + return (2*q*cos(2*z) - a)*mathieus(a, q, z) + else: + raise ArgumentIndexError(self, argindex) + + @classmethod + def eval(cls, a, q, z): + if q.is_Number and q.is_zero: + return sqrt(a)*cos(sqrt(a)*z) + # Try to pull out factors of -1 + if z.could_extract_minus_sign(): + return cls(a, q, -z) + + +class mathieucprime(MathieuBase): + r""" + The derivative $C^{\prime}(a,q,z)$ of the Mathieu Cosine function. + + Explanation + =========== + + This function is one solution of the Mathieu differential equation: + + .. math :: + y(x)^{\prime\prime} + (a - 2 q \cos(2 x)) y(x) = 0 + + The other solution is the Mathieu Sine function. + + Examples + ======== + + >>> from sympy import diff, mathieucprime + >>> from sympy.abc import a, q, z + + >>> mathieucprime(a, q, z) + mathieucprime(a, q, z) + + >>> mathieucprime(a, 0, z) + -sqrt(a)*sin(sqrt(a)*z) + + >>> diff(mathieucprime(a, q, z), z) + (-a + 2*q*cos(2*z))*mathieuc(a, q, z) + + See Also + ======== + + mathieus: Mathieu sine function + mathieuc: Mathieu cosine function + mathieusprime: Derivative of Mathieu sine function + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Mathieu_function + .. [2] https://dlmf.nist.gov/28 + .. [3] https://mathworld.wolfram.com/MathieuFunction.html + .. [4] https://functions.wolfram.com/MathieuandSpheroidalFunctions/MathieuCPrime/ + + """ + + def fdiff(self, argindex=1): + if argindex == 3: + a, q, z = self.args + return (2*q*cos(2*z) - a)*mathieuc(a, q, z) + else: + raise ArgumentIndexError(self, argindex) + + @classmethod + def eval(cls, a, q, z): + if q.is_Number and q.is_zero: + return -sqrt(a)*sin(sqrt(a)*z) + # Try to pull out factors of -1 + if z.could_extract_minus_sign(): + return -cls(a, q, -z) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/polynomials.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/polynomials.py new file mode 100644 index 0000000000000000000000000000000000000000..5816baef600baf957c31a9dddaa5571da86d754a --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/polynomials.py @@ -0,0 +1,1447 @@ +""" +This module mainly implements special orthogonal polynomials. + +See also functions.combinatorial.numbers which contains some +combinatorial polynomials. + +""" + +from sympy.core import Rational +from sympy.core.function import DefinedFunction, ArgumentIndexError +from sympy.core.singleton import S +from sympy.core.symbol import Dummy +from sympy.functions.combinatorial.factorials import binomial, factorial, RisingFactorial +from sympy.functions.elementary.complexes import re +from sympy.functions.elementary.exponential import exp +from sympy.functions.elementary.integers import floor +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.trigonometric import cos, sec +from sympy.functions.special.gamma_functions import gamma +from sympy.functions.special.hyper import hyper +from sympy.polys.orthopolys import (chebyshevt_poly, chebyshevu_poly, + gegenbauer_poly, hermite_poly, hermite_prob_poly, + jacobi_poly, laguerre_poly, legendre_poly) + +_x = Dummy('x') + + +class OrthogonalPolynomial(DefinedFunction): + """Base class for orthogonal polynomials. + """ + + @classmethod + def _eval_at_order(cls, n, x): + if n.is_integer and n >= 0: + return cls._ortho_poly(int(n), _x).subs(_x, x) + + def _eval_conjugate(self): + return self.func(self.args[0], self.args[1].conjugate()) + +#---------------------------------------------------------------------------- +# Jacobi polynomials +# + + +class jacobi(OrthogonalPolynomial): + r""" + Jacobi polynomial $P_n^{\left(\alpha, \beta\right)}(x)$. + + Explanation + =========== + + ``jacobi(n, alpha, beta, x)`` gives the $n$th Jacobi polynomial + in $x$, $P_n^{\left(\alpha, \beta\right)}(x)$. + + The Jacobi polynomials are orthogonal on $[-1, 1]$ with respect + to the weight $\left(1-x\right)^\alpha \left(1+x\right)^\beta$. + + Examples + ======== + + >>> from sympy import jacobi, S, conjugate, diff + >>> from sympy.abc import a, b, n, x + + >>> jacobi(0, a, b, x) + 1 + >>> jacobi(1, a, b, x) + a/2 - b/2 + x*(a/2 + b/2 + 1) + >>> jacobi(2, a, b, x) + a**2/8 - a*b/4 - a/8 + b**2/8 - b/8 + x**2*(a**2/8 + a*b/4 + 7*a/8 + b**2/8 + 7*b/8 + 3/2) + x*(a**2/4 + 3*a/4 - b**2/4 - 3*b/4) - 1/2 + + >>> jacobi(n, a, b, x) + jacobi(n, a, b, x) + + >>> jacobi(n, a, a, x) + RisingFactorial(a + 1, n)*gegenbauer(n, + a + 1/2, x)/RisingFactorial(2*a + 1, n) + + >>> jacobi(n, 0, 0, x) + legendre(n, x) + + >>> jacobi(n, S(1)/2, S(1)/2, x) + RisingFactorial(3/2, n)*chebyshevu(n, x)/factorial(n + 1) + + >>> jacobi(n, -S(1)/2, -S(1)/2, x) + RisingFactorial(1/2, n)*chebyshevt(n, x)/factorial(n) + + >>> jacobi(n, a, b, -x) + (-1)**n*jacobi(n, b, a, x) + + >>> jacobi(n, a, b, 0) + gamma(a + n + 1)*hyper((-n, -b - n), (a + 1,), -1)/(2**n*factorial(n)*gamma(a + 1)) + >>> jacobi(n, a, b, 1) + RisingFactorial(a + 1, n)/factorial(n) + + >>> conjugate(jacobi(n, a, b, x)) + jacobi(n, conjugate(a), conjugate(b), conjugate(x)) + + >>> diff(jacobi(n,a,b,x), x) + (a/2 + b/2 + n/2 + 1/2)*jacobi(n - 1, a + 1, b + 1, x) + + See Also + ======== + + gegenbauer, + chebyshevt_root, chebyshevu, chebyshevu_root, + legendre, assoc_legendre, + hermite, hermite_prob, + laguerre, assoc_laguerre, + sympy.polys.orthopolys.jacobi_poly, + sympy.polys.orthopolys.gegenbauer_poly + sympy.polys.orthopolys.chebyshevt_poly + sympy.polys.orthopolys.chebyshevu_poly + sympy.polys.orthopolys.hermite_poly + sympy.polys.orthopolys.legendre_poly + sympy.polys.orthopolys.laguerre_poly + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Jacobi_polynomials + .. [2] https://mathworld.wolfram.com/JacobiPolynomial.html + .. [3] https://functions.wolfram.com/Polynomials/JacobiP/ + + """ + + @classmethod + def eval(cls, n, a, b, x): + # Simplify to other polynomials + # P^{a, a}_n(x) + if a == b: + if a == Rational(-1, 2): + return RisingFactorial(S.Half, n) / factorial(n) * chebyshevt(n, x) + elif a.is_zero: + return legendre(n, x) + elif a == S.Half: + return RisingFactorial(3*S.Half, n) / factorial(n + 1) * chebyshevu(n, x) + else: + return RisingFactorial(a + 1, n) / RisingFactorial(2*a + 1, n) * gegenbauer(n, a + S.Half, x) + elif b == -a: + # P^{a, -a}_n(x) + return gamma(n + a + 1) / gamma(n + 1) * (1 + x)**(a/2) / (1 - x)**(a/2) * assoc_legendre(n, -a, x) + + if not n.is_Number: + # Symbolic result P^{a,b}_n(x) + # P^{a,b}_n(-x) ---> (-1)**n * P^{b,a}_n(-x) + if x.could_extract_minus_sign(): + return S.NegativeOne**n * jacobi(n, b, a, -x) + # We can evaluate for some special values of x + if x.is_zero: + return (2**(-n) * gamma(a + n + 1) / (gamma(a + 1) * factorial(n)) * + hyper([-b - n, -n], [a + 1], -1)) + if x == S.One: + return RisingFactorial(a + 1, n) / factorial(n) + elif x is S.Infinity: + if n.is_positive: + # Make sure a+b+2*n \notin Z + if (a + b + 2*n).is_integer: + raise ValueError("Error. a + b + 2*n should not be an integer.") + return RisingFactorial(a + b + n + 1, n) * S.Infinity + else: + # n is a given fixed integer, evaluate into polynomial + return jacobi_poly(n, a, b, x) + + def fdiff(self, argindex=4): + from sympy.concrete.summations import Sum + if argindex == 1: + # Diff wrt n + raise ArgumentIndexError(self, argindex) + elif argindex == 2: + # Diff wrt a + n, a, b, x = self.args + k = Dummy("k") + f1 = 1 / (a + b + n + k + 1) + f2 = ((a + b + 2*k + 1) * RisingFactorial(b + k + 1, n - k) / + ((n - k) * RisingFactorial(a + b + k + 1, n - k))) + return Sum(f1 * (jacobi(n, a, b, x) + f2*jacobi(k, a, b, x)), (k, 0, n - 1)) + elif argindex == 3: + # Diff wrt b + n, a, b, x = self.args + k = Dummy("k") + f1 = 1 / (a + b + n + k + 1) + f2 = (-1)**(n - k) * ((a + b + 2*k + 1) * RisingFactorial(a + k + 1, n - k) / + ((n - k) * RisingFactorial(a + b + k + 1, n - k))) + return Sum(f1 * (jacobi(n, a, b, x) + f2*jacobi(k, a, b, x)), (k, 0, n - 1)) + elif argindex == 4: + # Diff wrt x + n, a, b, x = self.args + return S.Half * (a + b + n + 1) * jacobi(n - 1, a + 1, b + 1, x) + else: + raise ArgumentIndexError(self, argindex) + + def _eval_rewrite_as_Sum(self, n, a, b, x, **kwargs): + from sympy.concrete.summations import Sum + # Make sure n \in N + if n.is_negative or n.is_integer is False: + raise ValueError("Error: n should be a non-negative integer.") + k = Dummy("k") + kern = (RisingFactorial(-n, k) * RisingFactorial(a + b + n + 1, k) * RisingFactorial(a + k + 1, n - k) / + factorial(k) * ((1 - x)/2)**k) + return 1 / factorial(n) * Sum(kern, (k, 0, n)) + + def _eval_rewrite_as_polynomial(self, n, a, b, x, **kwargs): + # This function is just kept for backwards compatibility + # but should not be used + return self._eval_rewrite_as_Sum(n, a, b, x, **kwargs) + + def _eval_conjugate(self): + n, a, b, x = self.args + return self.func(n, a.conjugate(), b.conjugate(), x.conjugate()) + + +def jacobi_normalized(n, a, b, x): + r""" + Jacobi polynomial $P_n^{\left(\alpha, \beta\right)}(x)$. + + Explanation + =========== + + ``jacobi_normalized(n, alpha, beta, x)`` gives the $n$th + Jacobi polynomial in $x$, $P_n^{\left(\alpha, \beta\right)}(x)$. + + The Jacobi polynomials are orthogonal on $[-1, 1]$ with respect + to the weight $\left(1-x\right)^\alpha \left(1+x\right)^\beta$. + + This functions returns the polynomials normilzed: + + .. math:: + + \int_{-1}^{1} + P_m^{\left(\alpha, \beta\right)}(x) + P_n^{\left(\alpha, \beta\right)}(x) + (1-x)^{\alpha} (1+x)^{\beta} \mathrm{d}x + = \delta_{m,n} + + Examples + ======== + + >>> from sympy import jacobi_normalized + >>> from sympy.abc import n,a,b,x + + >>> jacobi_normalized(n, a, b, x) + jacobi(n, a, b, x)/sqrt(2**(a + b + 1)*gamma(a + n + 1)*gamma(b + n + 1)/((a + b + 2*n + 1)*factorial(n)*gamma(a + b + n + 1))) + + Parameters + ========== + + n : integer degree of polynomial + + a : alpha value + + b : beta value + + x : symbol + + See Also + ======== + + gegenbauer, + chebyshevt_root, chebyshevu, chebyshevu_root, + legendre, assoc_legendre, + hermite, hermite_prob, + laguerre, assoc_laguerre, + sympy.polys.orthopolys.jacobi_poly, + sympy.polys.orthopolys.gegenbauer_poly + sympy.polys.orthopolys.chebyshevt_poly + sympy.polys.orthopolys.chebyshevu_poly + sympy.polys.orthopolys.hermite_poly + sympy.polys.orthopolys.legendre_poly + sympy.polys.orthopolys.laguerre_poly + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Jacobi_polynomials + .. [2] https://mathworld.wolfram.com/JacobiPolynomial.html + .. [3] https://functions.wolfram.com/Polynomials/JacobiP/ + + """ + nfactor = (S(2)**(a + b + 1) * (gamma(n + a + 1) * gamma(n + b + 1)) + / (2*n + a + b + 1) / (factorial(n) * gamma(n + a + b + 1))) + + return jacobi(n, a, b, x) / sqrt(nfactor) + + +#---------------------------------------------------------------------------- +# Gegenbauer polynomials +# + + +class gegenbauer(OrthogonalPolynomial): + r""" + Gegenbauer polynomial $C_n^{\left(\alpha\right)}(x)$. + + Explanation + =========== + + ``gegenbauer(n, alpha, x)`` gives the $n$th Gegenbauer polynomial + in $x$, $C_n^{\left(\alpha\right)}(x)$. + + The Gegenbauer polynomials are orthogonal on $[-1, 1]$ with + respect to the weight $\left(1-x^2\right)^{\alpha-\frac{1}{2}}$. + + Examples + ======== + + >>> from sympy import gegenbauer, conjugate, diff + >>> from sympy.abc import n,a,x + >>> gegenbauer(0, a, x) + 1 + >>> gegenbauer(1, a, x) + 2*a*x + >>> gegenbauer(2, a, x) + -a + x**2*(2*a**2 + 2*a) + >>> gegenbauer(3, a, x) + x**3*(4*a**3/3 + 4*a**2 + 8*a/3) + x*(-2*a**2 - 2*a) + + >>> gegenbauer(n, a, x) + gegenbauer(n, a, x) + >>> gegenbauer(n, a, -x) + (-1)**n*gegenbauer(n, a, x) + + >>> gegenbauer(n, a, 0) + 2**n*sqrt(pi)*gamma(a + n/2)/(gamma(a)*gamma(1/2 - n/2)*gamma(n + 1)) + >>> gegenbauer(n, a, 1) + gamma(2*a + n)/(gamma(2*a)*gamma(n + 1)) + + >>> conjugate(gegenbauer(n, a, x)) + gegenbauer(n, conjugate(a), conjugate(x)) + + >>> diff(gegenbauer(n, a, x), x) + 2*a*gegenbauer(n - 1, a + 1, x) + + See Also + ======== + + jacobi, + chebyshevt_root, chebyshevu, chebyshevu_root, + legendre, assoc_legendre, + hermite, hermite_prob, + laguerre, assoc_laguerre, + sympy.polys.orthopolys.jacobi_poly + sympy.polys.orthopolys.gegenbauer_poly + sympy.polys.orthopolys.chebyshevt_poly + sympy.polys.orthopolys.chebyshevu_poly + sympy.polys.orthopolys.hermite_poly + sympy.polys.orthopolys.hermite_prob_poly + sympy.polys.orthopolys.legendre_poly + sympy.polys.orthopolys.laguerre_poly + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Gegenbauer_polynomials + .. [2] https://mathworld.wolfram.com/GegenbauerPolynomial.html + .. [3] https://functions.wolfram.com/Polynomials/GegenbauerC3/ + + """ + + @classmethod + def eval(cls, n, a, x): + # For negative n the polynomials vanish + # See https://functions.wolfram.com/Polynomials/GegenbauerC3/03/01/03/0012/ + if n.is_negative: + return S.Zero + + # Some special values for fixed a + if a == S.Half: + return legendre(n, x) + elif a == S.One: + return chebyshevu(n, x) + elif a == S.NegativeOne: + return S.Zero + + if not n.is_Number: + # Handle this before the general sign extraction rule + if x == S.NegativeOne: + if (re(a) > S.Half) == True: + return S.ComplexInfinity + else: + return (cos(S.Pi*(a+n)) * sec(S.Pi*a) * gamma(2*a+n) / + (gamma(2*a) * gamma(n+1))) + + # Symbolic result C^a_n(x) + # C^a_n(-x) ---> (-1)**n * C^a_n(x) + if x.could_extract_minus_sign(): + return S.NegativeOne**n * gegenbauer(n, a, -x) + # We can evaluate for some special values of x + if x.is_zero: + return (2**n * sqrt(S.Pi) * gamma(a + S.Half*n) / + (gamma((1 - n)/2) * gamma(n + 1) * gamma(a)) ) + if x == S.One: + return gamma(2*a + n) / (gamma(2*a) * gamma(n + 1)) + elif x is S.Infinity: + if n.is_positive: + return RisingFactorial(a, n) * S.Infinity + else: + # n is a given fixed integer, evaluate into polynomial + return gegenbauer_poly(n, a, x) + + def fdiff(self, argindex=3): + from sympy.concrete.summations import Sum + if argindex == 1: + # Diff wrt n + raise ArgumentIndexError(self, argindex) + elif argindex == 2: + # Diff wrt a + n, a, x = self.args + k = Dummy("k") + factor1 = 2 * (1 + (-1)**(n - k)) * (k + a) / ((k + + n + 2*a) * (n - k)) + factor2 = 2*(k + 1) / ((k + 2*a) * (2*k + 2*a + 1)) + \ + 2 / (k + n + 2*a) + kern = factor1*gegenbauer(k, a, x) + factor2*gegenbauer(n, a, x) + return Sum(kern, (k, 0, n - 1)) + elif argindex == 3: + # Diff wrt x + n, a, x = self.args + return 2*a*gegenbauer(n - 1, a + 1, x) + else: + raise ArgumentIndexError(self, argindex) + + def _eval_rewrite_as_Sum(self, n, a, x, **kwargs): + from sympy.concrete.summations import Sum + k = Dummy("k") + kern = ((-1)**k * RisingFactorial(a, n - k) * (2*x)**(n - 2*k) / + (factorial(k) * factorial(n - 2*k))) + return Sum(kern, (k, 0, floor(n/2))) + + def _eval_rewrite_as_polynomial(self, n, a, x, **kwargs): + # This function is just kept for backwards compatibility + # but should not be used + return self._eval_rewrite_as_Sum(n, a, x, **kwargs) + + def _eval_conjugate(self): + n, a, x = self.args + return self.func(n, a.conjugate(), x.conjugate()) + +#---------------------------------------------------------------------------- +# Chebyshev polynomials of first and second kind +# + + +class chebyshevt(OrthogonalPolynomial): + r""" + Chebyshev polynomial of the first kind, $T_n(x)$. + + Explanation + =========== + + ``chebyshevt(n, x)`` gives the $n$th Chebyshev polynomial (of the first + kind) in $x$, $T_n(x)$. + + The Chebyshev polynomials of the first kind are orthogonal on + $[-1, 1]$ with respect to the weight $\frac{1}{\sqrt{1-x^2}}$. + + Examples + ======== + + >>> from sympy import chebyshevt, diff + >>> from sympy.abc import n,x + >>> chebyshevt(0, x) + 1 + >>> chebyshevt(1, x) + x + >>> chebyshevt(2, x) + 2*x**2 - 1 + + >>> chebyshevt(n, x) + chebyshevt(n, x) + >>> chebyshevt(n, -x) + (-1)**n*chebyshevt(n, x) + >>> chebyshevt(-n, x) + chebyshevt(n, x) + + >>> chebyshevt(n, 0) + cos(pi*n/2) + >>> chebyshevt(n, -1) + (-1)**n + + >>> diff(chebyshevt(n, x), x) + n*chebyshevu(n - 1, x) + + See Also + ======== + + jacobi, gegenbauer, + chebyshevt_root, chebyshevu, chebyshevu_root, + legendre, assoc_legendre, + hermite, hermite_prob, + laguerre, assoc_laguerre, + sympy.polys.orthopolys.jacobi_poly + sympy.polys.orthopolys.gegenbauer_poly + sympy.polys.orthopolys.chebyshevt_poly + sympy.polys.orthopolys.chebyshevu_poly + sympy.polys.orthopolys.hermite_poly + sympy.polys.orthopolys.hermite_prob_poly + sympy.polys.orthopolys.legendre_poly + sympy.polys.orthopolys.laguerre_poly + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Chebyshev_polynomial + .. [2] https://mathworld.wolfram.com/ChebyshevPolynomialoftheFirstKind.html + .. [3] https://mathworld.wolfram.com/ChebyshevPolynomialoftheSecondKind.html + .. [4] https://functions.wolfram.com/Polynomials/ChebyshevT/ + .. [5] https://functions.wolfram.com/Polynomials/ChebyshevU/ + + """ + + _ortho_poly = staticmethod(chebyshevt_poly) + + @classmethod + def eval(cls, n, x): + if not n.is_Number: + # Symbolic result T_n(x) + # T_n(-x) ---> (-1)**n * T_n(x) + if x.could_extract_minus_sign(): + return S.NegativeOne**n * chebyshevt(n, -x) + # T_{-n}(x) ---> T_n(x) + if n.could_extract_minus_sign(): + return chebyshevt(-n, x) + # We can evaluate for some special values of x + if x.is_zero: + return cos(S.Half * S.Pi * n) + if x == S.One: + return S.One + elif x is S.Infinity: + return S.Infinity + else: + # n is a given fixed integer, evaluate into polynomial + if n.is_negative: + # T_{-n}(x) == T_n(x) + return cls._eval_at_order(-n, x) + else: + return cls._eval_at_order(n, x) + + def fdiff(self, argindex=2): + if argindex == 1: + # Diff wrt n + raise ArgumentIndexError(self, argindex) + elif argindex == 2: + # Diff wrt x + n, x = self.args + return n * chebyshevu(n - 1, x) + else: + raise ArgumentIndexError(self, argindex) + + def _eval_rewrite_as_Sum(self, n, x, **kwargs): + from sympy.concrete.summations import Sum + k = Dummy("k") + kern = binomial(n, 2*k) * (x**2 - 1)**k * x**(n - 2*k) + return Sum(kern, (k, 0, floor(n/2))) + + def _eval_rewrite_as_polynomial(self, n, x, **kwargs): + # This function is just kept for backwards compatibility + # but should not be used + return self._eval_rewrite_as_Sum(n, x, **kwargs) + + +class chebyshevu(OrthogonalPolynomial): + r""" + Chebyshev polynomial of the second kind, $U_n(x)$. + + Explanation + =========== + + ``chebyshevu(n, x)`` gives the $n$th Chebyshev polynomial of the second + kind in x, $U_n(x)$. + + The Chebyshev polynomials of the second kind are orthogonal on + $[-1, 1]$ with respect to the weight $\sqrt{1-x^2}$. + + Examples + ======== + + >>> from sympy import chebyshevu, diff + >>> from sympy.abc import n,x + >>> chebyshevu(0, x) + 1 + >>> chebyshevu(1, x) + 2*x + >>> chebyshevu(2, x) + 4*x**2 - 1 + + >>> chebyshevu(n, x) + chebyshevu(n, x) + >>> chebyshevu(n, -x) + (-1)**n*chebyshevu(n, x) + >>> chebyshevu(-n, x) + -chebyshevu(n - 2, x) + + >>> chebyshevu(n, 0) + cos(pi*n/2) + >>> chebyshevu(n, 1) + n + 1 + + >>> diff(chebyshevu(n, x), x) + (-x*chebyshevu(n, x) + (n + 1)*chebyshevt(n + 1, x))/(x**2 - 1) + + See Also + ======== + + jacobi, gegenbauer, + chebyshevt, chebyshevt_root, chebyshevu_root, + legendre, assoc_legendre, + hermite, hermite_prob, + laguerre, assoc_laguerre, + sympy.polys.orthopolys.jacobi_poly + sympy.polys.orthopolys.gegenbauer_poly + sympy.polys.orthopolys.chebyshevt_poly + sympy.polys.orthopolys.chebyshevu_poly + sympy.polys.orthopolys.hermite_poly + sympy.polys.orthopolys.hermite_prob_poly + sympy.polys.orthopolys.legendre_poly + sympy.polys.orthopolys.laguerre_poly + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Chebyshev_polynomial + .. [2] https://mathworld.wolfram.com/ChebyshevPolynomialoftheFirstKind.html + .. [3] https://mathworld.wolfram.com/ChebyshevPolynomialoftheSecondKind.html + .. [4] https://functions.wolfram.com/Polynomials/ChebyshevT/ + .. [5] https://functions.wolfram.com/Polynomials/ChebyshevU/ + + """ + + _ortho_poly = staticmethod(chebyshevu_poly) + + @classmethod + def eval(cls, n, x): + if not n.is_Number: + # Symbolic result U_n(x) + # U_n(-x) ---> (-1)**n * U_n(x) + if x.could_extract_minus_sign(): + return S.NegativeOne**n * chebyshevu(n, -x) + # U_{-n}(x) ---> -U_{n-2}(x) + if n.could_extract_minus_sign(): + if n == S.NegativeOne: + # n can not be -1 here + return S.Zero + elif not (-n - 2).could_extract_minus_sign(): + return -chebyshevu(-n - 2, x) + # We can evaluate for some special values of x + if x.is_zero: + return cos(S.Half * S.Pi * n) + if x == S.One: + return S.One + n + elif x is S.Infinity: + return S.Infinity + else: + # n is a given fixed integer, evaluate into polynomial + if n.is_negative: + # U_{-n}(x) ---> -U_{n-2}(x) + if n == S.NegativeOne: + return S.Zero + else: + return -cls._eval_at_order(-n - 2, x) + else: + return cls._eval_at_order(n, x) + + def fdiff(self, argindex=2): + if argindex == 1: + # Diff wrt n + raise ArgumentIndexError(self, argindex) + elif argindex == 2: + # Diff wrt x + n, x = self.args + return ((n + 1) * chebyshevt(n + 1, x) - x * chebyshevu(n, x)) / (x**2 - 1) + else: + raise ArgumentIndexError(self, argindex) + + def _eval_rewrite_as_Sum(self, n, x, **kwargs): + from sympy.concrete.summations import Sum + k = Dummy("k") + kern = S.NegativeOne**k * factorial( + n - k) * (2*x)**(n - 2*k) / (factorial(k) * factorial(n - 2*k)) + return Sum(kern, (k, 0, floor(n/2))) + + def _eval_rewrite_as_polynomial(self, n, x, **kwargs): + # This function is just kept for backwards compatibility + # but should not be used + return self._eval_rewrite_as_Sum(n, x, **kwargs) + + +class chebyshevt_root(DefinedFunction): + r""" + ``chebyshev_root(n, k)`` returns the $k$th root (indexed from zero) of + the $n$th Chebyshev polynomial of the first kind; that is, if + $0 \le k < n$, ``chebyshevt(n, chebyshevt_root(n, k)) == 0``. + + Examples + ======== + + >>> from sympy import chebyshevt, chebyshevt_root + >>> chebyshevt_root(3, 2) + -sqrt(3)/2 + >>> chebyshevt(3, chebyshevt_root(3, 2)) + 0 + + See Also + ======== + + jacobi, gegenbauer, + chebyshevt, chebyshevu, chebyshevu_root, + legendre, assoc_legendre, + hermite, hermite_prob, + laguerre, assoc_laguerre, + sympy.polys.orthopolys.jacobi_poly + sympy.polys.orthopolys.gegenbauer_poly + sympy.polys.orthopolys.chebyshevt_poly + sympy.polys.orthopolys.chebyshevu_poly + sympy.polys.orthopolys.hermite_poly + sympy.polys.orthopolys.hermite_prob_poly + sympy.polys.orthopolys.legendre_poly + sympy.polys.orthopolys.laguerre_poly + """ + + @classmethod + def eval(cls, n, k): + if not ((0 <= k) and (k < n)): + raise ValueError("must have 0 <= k < n, " + "got k = %s and n = %s" % (k, n)) + return cos(S.Pi*(2*k + 1)/(2*n)) + + +class chebyshevu_root(DefinedFunction): + r""" + ``chebyshevu_root(n, k)`` returns the $k$th root (indexed from zero) of the + $n$th Chebyshev polynomial of the second kind; that is, if $0 \le k < n$, + ``chebyshevu(n, chebyshevu_root(n, k)) == 0``. + + Examples + ======== + + >>> from sympy import chebyshevu, chebyshevu_root + >>> chebyshevu_root(3, 2) + -sqrt(2)/2 + >>> chebyshevu(3, chebyshevu_root(3, 2)) + 0 + + See Also + ======== + + chebyshevt, chebyshevt_root, chebyshevu, + legendre, assoc_legendre, + hermite, hermite_prob, + laguerre, assoc_laguerre, + sympy.polys.orthopolys.jacobi_poly + sympy.polys.orthopolys.gegenbauer_poly + sympy.polys.orthopolys.chebyshevt_poly + sympy.polys.orthopolys.chebyshevu_poly + sympy.polys.orthopolys.hermite_poly + sympy.polys.orthopolys.hermite_prob_poly + sympy.polys.orthopolys.legendre_poly + sympy.polys.orthopolys.laguerre_poly + """ + + + @classmethod + def eval(cls, n, k): + if not ((0 <= k) and (k < n)): + raise ValueError("must have 0 <= k < n, " + "got k = %s and n = %s" % (k, n)) + return cos(S.Pi*(k + 1)/(n + 1)) + +#---------------------------------------------------------------------------- +# Legendre polynomials and Associated Legendre polynomials +# + + +class legendre(OrthogonalPolynomial): + r""" + ``legendre(n, x)`` gives the $n$th Legendre polynomial of $x$, $P_n(x)$ + + Explanation + =========== + + The Legendre polynomials are orthogonal on $[-1, 1]$ with respect to + the constant weight 1. They satisfy $P_n(1) = 1$ for all $n$; further, + $P_n$ is odd for odd $n$ and even for even $n$. + + Examples + ======== + + >>> from sympy import legendre, diff + >>> from sympy.abc import x, n + >>> legendre(0, x) + 1 + >>> legendre(1, x) + x + >>> legendre(2, x) + 3*x**2/2 - 1/2 + >>> legendre(n, x) + legendre(n, x) + >>> diff(legendre(n,x), x) + n*(x*legendre(n, x) - legendre(n - 1, x))/(x**2 - 1) + + See Also + ======== + + jacobi, gegenbauer, + chebyshevt, chebyshevt_root, chebyshevu, chebyshevu_root, + assoc_legendre, + hermite, hermite_prob, + laguerre, assoc_laguerre, + sympy.polys.orthopolys.jacobi_poly + sympy.polys.orthopolys.gegenbauer_poly + sympy.polys.orthopolys.chebyshevt_poly + sympy.polys.orthopolys.chebyshevu_poly + sympy.polys.orthopolys.hermite_poly + sympy.polys.orthopolys.hermite_prob_poly + sympy.polys.orthopolys.legendre_poly + sympy.polys.orthopolys.laguerre_poly + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Legendre_polynomial + .. [2] https://mathworld.wolfram.com/LegendrePolynomial.html + .. [3] https://functions.wolfram.com/Polynomials/LegendreP/ + .. [4] https://functions.wolfram.com/Polynomials/LegendreP2/ + + """ + + _ortho_poly = staticmethod(legendre_poly) + + @classmethod + def eval(cls, n, x): + if not n.is_Number: + # Symbolic result L_n(x) + # L_n(-x) ---> (-1)**n * L_n(x) + if x.could_extract_minus_sign(): + return S.NegativeOne**n * legendre(n, -x) + # L_{-n}(x) ---> L_{n-1}(x) + if n.could_extract_minus_sign() and not(-n - 1).could_extract_minus_sign(): + return legendre(-n - S.One, x) + # We can evaluate for some special values of x + if x.is_zero: + return sqrt(S.Pi)/(gamma(S.Half - n/2)*gamma(S.One + n/2)) + elif x == S.One: + return S.One + elif x is S.Infinity: + return S.Infinity + else: + # n is a given fixed integer, evaluate into polynomial; + # L_{-n}(x) ---> L_{n-1}(x) + if n.is_negative: + n = -n - S.One + return cls._eval_at_order(n, x) + + def fdiff(self, argindex=2): + if argindex == 1: + # Diff wrt n + raise ArgumentIndexError(self, argindex) + elif argindex == 2: + # Diff wrt x + # Find better formula, this is unsuitable for x = +/-1 + # https://www.autodiff.org/ad16/Oral/Buecker_Legendre.pdf says + # at x = 1: + # n*(n + 1)/2 , m = 0 + # oo , m = 1 + # -(n-1)*n*(n+1)*(n+2)/4 , m = 2 + # 0 , m = 3, 4, ..., n + # + # at x = -1 + # (-1)**(n+1)*n*(n + 1)/2 , m = 0 + # (-1)**n*oo , m = 1 + # (-1)**n*(n-1)*n*(n+1)*(n+2)/4 , m = 2 + # 0 , m = 3, 4, ..., n + n, x = self.args + return n/(x**2 - 1)*(x*legendre(n, x) - legendre(n - 1, x)) + else: + raise ArgumentIndexError(self, argindex) + + def _eval_rewrite_as_Sum(self, n, x, **kwargs): + from sympy.concrete.summations import Sum + k = Dummy("k") + kern = S.NegativeOne**k*binomial(n, k)**2*((1 + x)/2)**(n - k)*((1 - x)/2)**k + return Sum(kern, (k, 0, n)) + + def _eval_rewrite_as_polynomial(self, n, x, **kwargs): + # This function is just kept for backwards compatibility + # but should not be used + return self._eval_rewrite_as_Sum(n, x, **kwargs) + + +class assoc_legendre(DefinedFunction): + r""" + ``assoc_legendre(n, m, x)`` gives $P_n^m(x)$, where $n$ and $m$ are + the degree and order or an expression which is related to the nth + order Legendre polynomial, $P_n(x)$ in the following manner: + + .. math:: + P_n^m(x) = (-1)^m (1 - x^2)^{\frac{m}{2}} + \frac{\mathrm{d}^m P_n(x)}{\mathrm{d} x^m} + + Explanation + =========== + + Associated Legendre polynomials are orthogonal on $[-1, 1]$ with: + + - weight $= 1$ for the same $m$ and different $n$. + - weight $= \frac{1}{1-x^2}$ for the same $n$ and different $m$. + + Examples + ======== + + >>> from sympy import assoc_legendre + >>> from sympy.abc import x, m, n + >>> assoc_legendre(0,0, x) + 1 + >>> assoc_legendre(1,0, x) + x + >>> assoc_legendre(1,1, x) + -sqrt(1 - x**2) + >>> assoc_legendre(n,m,x) + assoc_legendre(n, m, x) + + See Also + ======== + + jacobi, gegenbauer, + chebyshevt, chebyshevt_root, chebyshevu, chebyshevu_root, + legendre, + hermite, hermite_prob, + laguerre, assoc_laguerre, + sympy.polys.orthopolys.jacobi_poly + sympy.polys.orthopolys.gegenbauer_poly + sympy.polys.orthopolys.chebyshevt_poly + sympy.polys.orthopolys.chebyshevu_poly + sympy.polys.orthopolys.hermite_poly + sympy.polys.orthopolys.hermite_prob_poly + sympy.polys.orthopolys.legendre_poly + sympy.polys.orthopolys.laguerre_poly + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Associated_Legendre_polynomials + .. [2] https://mathworld.wolfram.com/LegendrePolynomial.html + .. [3] https://functions.wolfram.com/Polynomials/LegendreP/ + .. [4] https://functions.wolfram.com/Polynomials/LegendreP2/ + + """ + + @classmethod + def _eval_at_order(cls, n, m): + P = legendre_poly(n, _x, polys=True).diff((_x, m)) + return S.NegativeOne**m * (1 - _x**2)**Rational(m, 2) * P.as_expr() + + @classmethod + def eval(cls, n, m, x): + if m.could_extract_minus_sign(): + # P^{-m}_n ---> F * P^m_n + return S.NegativeOne**(-m) * (factorial(m + n)/factorial(n - m)) * assoc_legendre(n, -m, x) + if m == 0: + # P^0_n ---> L_n + return legendre(n, x) + if x == 0: + return 2**m*sqrt(S.Pi) / (gamma((1 - m - n)/2)*gamma(1 - (m - n)/2)) + if n.is_Number and m.is_Number and n.is_integer and m.is_integer: + if n.is_negative: + raise ValueError("%s : 1st index must be nonnegative integer (got %r)" % (cls, n)) + if abs(m) > n: + raise ValueError("%s : abs('2nd index') must be <= '1st index' (got %r, %r)" % (cls, n, m)) + return cls._eval_at_order(int(n), abs(int(m))).subs(_x, x) + + def fdiff(self, argindex=3): + if argindex == 1: + # Diff wrt n + raise ArgumentIndexError(self, argindex) + elif argindex == 2: + # Diff wrt m + raise ArgumentIndexError(self, argindex) + elif argindex == 3: + # Diff wrt x + # Find better formula, this is unsuitable for x = 1 + n, m, x = self.args + return 1/(x**2 - 1)*(x*n*assoc_legendre(n, m, x) - (m + n)*assoc_legendre(n - 1, m, x)) + else: + raise ArgumentIndexError(self, argindex) + + def _eval_rewrite_as_Sum(self, n, m, x, **kwargs): + from sympy.concrete.summations import Sum + k = Dummy("k") + kern = factorial(2*n - 2*k)/(2**n*factorial(n - k)*factorial( + k)*factorial(n - 2*k - m))*S.NegativeOne**k*x**(n - m - 2*k) + return (1 - x**2)**(m/2) * Sum(kern, (k, 0, floor((n - m)*S.Half))) + + def _eval_rewrite_as_polynomial(self, n, m, x, **kwargs): + # This function is just kept for backwards compatibility + # but should not be used + return self._eval_rewrite_as_Sum(n, m, x, **kwargs) + + def _eval_conjugate(self): + n, m, x = self.args + return self.func(n, m.conjugate(), x.conjugate()) + +#---------------------------------------------------------------------------- +# Hermite polynomials +# + + +class hermite(OrthogonalPolynomial): + r""" + ``hermite(n, x)`` gives the $n$th Hermite polynomial in $x$, $H_n(x)$. + + Explanation + =========== + + The Hermite polynomials are orthogonal on $(-\infty, \infty)$ + with respect to the weight $\exp\left(-x^2\right)$. + + Examples + ======== + + >>> from sympy import hermite, diff + >>> from sympy.abc import x, n + >>> hermite(0, x) + 1 + >>> hermite(1, x) + 2*x + >>> hermite(2, x) + 4*x**2 - 2 + >>> hermite(n, x) + hermite(n, x) + >>> diff(hermite(n,x), x) + 2*n*hermite(n - 1, x) + >>> hermite(n, -x) + (-1)**n*hermite(n, x) + + See Also + ======== + + jacobi, gegenbauer, + chebyshevt, chebyshevt_root, chebyshevu, chebyshevu_root, + legendre, assoc_legendre, + hermite_prob, + laguerre, assoc_laguerre, + sympy.polys.orthopolys.jacobi_poly + sympy.polys.orthopolys.gegenbauer_poly + sympy.polys.orthopolys.chebyshevt_poly + sympy.polys.orthopolys.chebyshevu_poly + sympy.polys.orthopolys.hermite_poly + sympy.polys.orthopolys.hermite_prob_poly + sympy.polys.orthopolys.legendre_poly + sympy.polys.orthopolys.laguerre_poly + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Hermite_polynomial + .. [2] https://mathworld.wolfram.com/HermitePolynomial.html + .. [3] https://functions.wolfram.com/Polynomials/HermiteH/ + + """ + + _ortho_poly = staticmethod(hermite_poly) + + @classmethod + def eval(cls, n, x): + if not n.is_Number: + # Symbolic result H_n(x) + # H_n(-x) ---> (-1)**n * H_n(x) + if x.could_extract_minus_sign(): + return S.NegativeOne**n * hermite(n, -x) + # We can evaluate for some special values of x + if x.is_zero: + return 2**n * sqrt(S.Pi) / gamma((S.One - n)/2) + elif x is S.Infinity: + return S.Infinity + else: + # n is a given fixed integer, evaluate into polynomial + if n.is_negative: + raise ValueError( + "The index n must be nonnegative integer (got %r)" % n) + else: + return cls._eval_at_order(n, x) + + def fdiff(self, argindex=2): + if argindex == 1: + # Diff wrt n + raise ArgumentIndexError(self, argindex) + elif argindex == 2: + # Diff wrt x + n, x = self.args + return 2*n*hermite(n - 1, x) + else: + raise ArgumentIndexError(self, argindex) + + def _eval_rewrite_as_Sum(self, n, x, **kwargs): + from sympy.concrete.summations import Sum + k = Dummy("k") + kern = S.NegativeOne**k / (factorial(k)*factorial(n - 2*k)) * (2*x)**(n - 2*k) + return factorial(n)*Sum(kern, (k, 0, floor(n/2))) + + def _eval_rewrite_as_polynomial(self, n, x, **kwargs): + # This function is just kept for backwards compatibility + # but should not be used + return self._eval_rewrite_as_Sum(n, x, **kwargs) + + def _eval_rewrite_as_hermite_prob(self, n, x, **kwargs): + return sqrt(2)**n * hermite_prob(n, x*sqrt(2)) + + +class hermite_prob(OrthogonalPolynomial): + r""" + ``hermite_prob(n, x)`` gives the $n$th probabilist's Hermite polynomial + in $x$, $He_n(x)$. + + Explanation + =========== + + The probabilist's Hermite polynomials are orthogonal on $(-\infty, \infty)$ + with respect to the weight $\exp\left(-\frac{x^2}{2}\right)$. They are monic + polynomials, related to the plain Hermite polynomials (:py:class:`~.hermite`) by + + .. math :: He_n(x) = 2^{-n/2} H_n(x/\sqrt{2}) + + Examples + ======== + + >>> from sympy import hermite_prob, diff, I + >>> from sympy.abc import x, n + >>> hermite_prob(1, x) + x + >>> hermite_prob(5, x) + x**5 - 10*x**3 + 15*x + >>> diff(hermite_prob(n,x), x) + n*hermite_prob(n - 1, x) + >>> hermite_prob(n, -x) + (-1)**n*hermite_prob(n, x) + + The sum of absolute values of coefficients of $He_n(x)$ is the number of + matchings in the complete graph $K_n$ or telephone number, A000085 in the OEIS: + + >>> [hermite_prob(n,I) / I**n for n in range(11)] + [1, 1, 2, 4, 10, 26, 76, 232, 764, 2620, 9496] + + See Also + ======== + + jacobi, gegenbauer, + chebyshevt, chebyshevt_root, chebyshevu, chebyshevu_root, + legendre, assoc_legendre, + hermite, + laguerre, assoc_laguerre, + sympy.polys.orthopolys.jacobi_poly + sympy.polys.orthopolys.gegenbauer_poly + sympy.polys.orthopolys.chebyshevt_poly + sympy.polys.orthopolys.chebyshevu_poly + sympy.polys.orthopolys.hermite_poly + sympy.polys.orthopolys.hermite_prob_poly + sympy.polys.orthopolys.legendre_poly + sympy.polys.orthopolys.laguerre_poly + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Hermite_polynomial + .. [2] https://mathworld.wolfram.com/HermitePolynomial.html + """ + + _ortho_poly = staticmethod(hermite_prob_poly) + + @classmethod + def eval(cls, n, x): + if not n.is_Number: + if x.could_extract_minus_sign(): + return S.NegativeOne**n * hermite_prob(n, -x) + if x.is_zero: + return sqrt(S.Pi) / gamma((S.One-n) / 2) + elif x is S.Infinity: + return S.Infinity + else: + if n.is_negative: + ValueError("n must be a nonnegative integer, not %r" % n) + else: + return cls._eval_at_order(n, x) + + def fdiff(self, argindex=2): + if argindex == 2: + n, x = self.args + return n*hermite_prob(n-1, x) + else: + raise ArgumentIndexError(self, argindex) + + def _eval_rewrite_as_Sum(self, n, x, **kwargs): + from sympy.concrete.summations import Sum + k = Dummy("k") + kern = (-S.Half)**k * x**(n-2*k) / (factorial(k) * factorial(n-2*k)) + return factorial(n)*Sum(kern, (k, 0, floor(n/2))) + + def _eval_rewrite_as_polynomial(self, n, x, **kwargs): + # This function is just kept for backwards compatibility + # but should not be used + return self._eval_rewrite_as_Sum(n, x, **kwargs) + + def _eval_rewrite_as_hermite(self, n, x, **kwargs): + return sqrt(2)**(-n) * hermite(n, x/sqrt(2)) + + +#---------------------------------------------------------------------------- +# Laguerre polynomials +# + + +class laguerre(OrthogonalPolynomial): + r""" + Returns the $n$th Laguerre polynomial in $x$, $L_n(x)$. + + Examples + ======== + + >>> from sympy import laguerre, diff + >>> from sympy.abc import x, n + >>> laguerre(0, x) + 1 + >>> laguerre(1, x) + 1 - x + >>> laguerre(2, x) + x**2/2 - 2*x + 1 + >>> laguerre(3, x) + -x**3/6 + 3*x**2/2 - 3*x + 1 + + >>> laguerre(n, x) + laguerre(n, x) + + >>> diff(laguerre(n, x), x) + -assoc_laguerre(n - 1, 1, x) + + Parameters + ========== + + n : int + Degree of Laguerre polynomial. Must be `n \ge 0`. + + See Also + ======== + + jacobi, gegenbauer, + chebyshevt, chebyshevt_root, chebyshevu, chebyshevu_root, + legendre, assoc_legendre, + hermite, hermite_prob, + assoc_laguerre, + sympy.polys.orthopolys.jacobi_poly + sympy.polys.orthopolys.gegenbauer_poly + sympy.polys.orthopolys.chebyshevt_poly + sympy.polys.orthopolys.chebyshevu_poly + sympy.polys.orthopolys.hermite_poly + sympy.polys.orthopolys.hermite_prob_poly + sympy.polys.orthopolys.legendre_poly + sympy.polys.orthopolys.laguerre_poly + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Laguerre_polynomial + .. [2] https://mathworld.wolfram.com/LaguerrePolynomial.html + .. [3] https://functions.wolfram.com/Polynomials/LaguerreL/ + .. [4] https://functions.wolfram.com/Polynomials/LaguerreL3/ + + """ + + _ortho_poly = staticmethod(laguerre_poly) + + @classmethod + def eval(cls, n, x): + if n.is_integer is False: + raise ValueError("Error: n should be an integer.") + if not n.is_Number: + # Symbolic result L_n(x) + # L_{n}(-x) ---> exp(-x) * L_{-n-1}(x) + # L_{-n}(x) ---> exp(x) * L_{n-1}(-x) + if n.could_extract_minus_sign() and not(-n - 1).could_extract_minus_sign(): + return exp(x)*laguerre(-n - 1, -x) + # We can evaluate for some special values of x + if x.is_zero: + return S.One + elif x is S.NegativeInfinity: + return S.Infinity + elif x is S.Infinity: + return S.NegativeOne**n * S.Infinity + else: + if n.is_negative: + return exp(x)*laguerre(-n - 1, -x) + else: + return cls._eval_at_order(n, x) + + def fdiff(self, argindex=2): + if argindex == 1: + # Diff wrt n + raise ArgumentIndexError(self, argindex) + elif argindex == 2: + # Diff wrt x + n, x = self.args + return -assoc_laguerre(n - 1, 1, x) + else: + raise ArgumentIndexError(self, argindex) + + def _eval_rewrite_as_Sum(self, n, x, **kwargs): + from sympy.concrete.summations import Sum + # Make sure n \in N_0 + if n.is_negative: + return exp(x) * self._eval_rewrite_as_Sum(-n - 1, -x, **kwargs) + if n.is_integer is False: + raise ValueError("Error: n should be an integer.") + k = Dummy("k") + kern = RisingFactorial(-n, k) / factorial(k)**2 * x**k + return Sum(kern, (k, 0, n)) + + def _eval_rewrite_as_polynomial(self, n, x, **kwargs): + # This function is just kept for backwards compatibility + # but should not be used + return self._eval_rewrite_as_Sum(n, x, **kwargs) + + +class assoc_laguerre(OrthogonalPolynomial): + r""" + Returns the $n$th generalized Laguerre polynomial in $x$, $L_n(x)$. + + Examples + ======== + + >>> from sympy import assoc_laguerre, diff + >>> from sympy.abc import x, n, a + >>> assoc_laguerre(0, a, x) + 1 + >>> assoc_laguerre(1, a, x) + a - x + 1 + >>> assoc_laguerre(2, a, x) + a**2/2 + 3*a/2 + x**2/2 + x*(-a - 2) + 1 + >>> assoc_laguerre(3, a, x) + a**3/6 + a**2 + 11*a/6 - x**3/6 + x**2*(a/2 + 3/2) + + x*(-a**2/2 - 5*a/2 - 3) + 1 + + >>> assoc_laguerre(n, a, 0) + binomial(a + n, a) + + >>> assoc_laguerre(n, a, x) + assoc_laguerre(n, a, x) + + >>> assoc_laguerre(n, 0, x) + laguerre(n, x) + + >>> diff(assoc_laguerre(n, a, x), x) + -assoc_laguerre(n - 1, a + 1, x) + + >>> diff(assoc_laguerre(n, a, x), a) + Sum(assoc_laguerre(_k, a, x)/(-a + n), (_k, 0, n - 1)) + + Parameters + ========== + + n : int + Degree of Laguerre polynomial. Must be `n \ge 0`. + + alpha : Expr + Arbitrary expression. For ``alpha=0`` regular Laguerre + polynomials will be generated. + + See Also + ======== + + jacobi, gegenbauer, + chebyshevt, chebyshevt_root, chebyshevu, chebyshevu_root, + legendre, assoc_legendre, + hermite, hermite_prob, + laguerre, + sympy.polys.orthopolys.jacobi_poly + sympy.polys.orthopolys.gegenbauer_poly + sympy.polys.orthopolys.chebyshevt_poly + sympy.polys.orthopolys.chebyshevu_poly + sympy.polys.orthopolys.hermite_poly + sympy.polys.orthopolys.hermite_prob_poly + sympy.polys.orthopolys.legendre_poly + sympy.polys.orthopolys.laguerre_poly + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Laguerre_polynomial#Generalized_Laguerre_polynomials + .. [2] https://mathworld.wolfram.com/AssociatedLaguerrePolynomial.html + .. [3] https://functions.wolfram.com/Polynomials/LaguerreL/ + .. [4] https://functions.wolfram.com/Polynomials/LaguerreL3/ + + """ + + @classmethod + def eval(cls, n, alpha, x): + # L_{n}^{0}(x) ---> L_{n}(x) + if alpha.is_zero: + return laguerre(n, x) + + if not n.is_Number: + # We can evaluate for some special values of x + if x.is_zero: + return binomial(n + alpha, alpha) + elif x is S.Infinity and n > 0: + return S.NegativeOne**n * S.Infinity + elif x is S.NegativeInfinity and n > 0: + return S.Infinity + else: + # n is a given fixed integer, evaluate into polynomial + if n.is_negative: + raise ValueError( + "The index n must be nonnegative integer (got %r)" % n) + else: + return laguerre_poly(n, x, alpha) + + def fdiff(self, argindex=3): + from sympy.concrete.summations import Sum + if argindex == 1: + # Diff wrt n + raise ArgumentIndexError(self, argindex) + elif argindex == 2: + # Diff wrt alpha + n, alpha, x = self.args + k = Dummy("k") + return Sum(assoc_laguerre(k, alpha, x) / (n - alpha), (k, 0, n - 1)) + elif argindex == 3: + # Diff wrt x + n, alpha, x = self.args + return -assoc_laguerre(n - 1, alpha + 1, x) + else: + raise ArgumentIndexError(self, argindex) + + def _eval_rewrite_as_Sum(self, n, alpha, x, **kwargs): + from sympy.concrete.summations import Sum + # Make sure n \in N_0 + if n.is_negative or n.is_integer is False: + raise ValueError("Error: n should be a non-negative integer.") + k = Dummy("k") + kern = RisingFactorial( + -n, k) / (gamma(k + alpha + 1) * factorial(k)) * x**k + return gamma(n + alpha + 1) / factorial(n) * Sum(kern, (k, 0, n)) + + def _eval_rewrite_as_polynomial(self, n, alpha, x, **kwargs): + # This function is just kept for backwards compatibility + # but should not be used + return self._eval_rewrite_as_Sum(n, alpha, x, **kwargs) + + def _eval_conjugate(self): + n, alpha, x = self.args + return self.func(n, alpha.conjugate(), x.conjugate()) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/singularity_functions.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/singularity_functions.py new file mode 100644 index 0000000000000000000000000000000000000000..a69026e6e657b1131880b47cb32202b6825b7158 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/singularity_functions.py @@ -0,0 +1,235 @@ +from sympy.core import S, oo, diff +from sympy.core.function import DefinedFunction, ArgumentIndexError +from sympy.core.logic import fuzzy_not +from sympy.core.relational import Eq +from sympy.functions.elementary.complexes import im +from sympy.functions.elementary.piecewise import Piecewise +from sympy.functions.special.delta_functions import Heaviside + +############################################################################### +############################# SINGULARITY FUNCTION ############################ +############################################################################### + + +class SingularityFunction(DefinedFunction): + r""" + Singularity functions are a class of discontinuous functions. + + Explanation + =========== + + Singularity functions take a variable, an offset, and an exponent as + arguments. These functions are represented using Macaulay brackets as: + + SingularityFunction(x, a, n) := ^n + + The singularity function will automatically evaluate to + ``Derivative(DiracDelta(x - a), x, -n - 1)`` if ``n < 0`` + and ``(x - a)**n*Heaviside(x - a, 1)`` if ``n >= 0``. + + Examples + ======== + + >>> from sympy import SingularityFunction, diff, Piecewise, DiracDelta, Heaviside, Symbol + >>> from sympy.abc import x, a, n + >>> SingularityFunction(x, a, n) + SingularityFunction(x, a, n) + >>> y = Symbol('y', positive=True) + >>> n = Symbol('n', nonnegative=True) + >>> SingularityFunction(y, -10, n) + (y + 10)**n + >>> y = Symbol('y', negative=True) + >>> SingularityFunction(y, 10, n) + 0 + >>> SingularityFunction(x, 4, -1).subs(x, 4) + oo + >>> SingularityFunction(x, 10, -2).subs(x, 10) + oo + >>> SingularityFunction(4, 1, 5) + 243 + >>> diff(SingularityFunction(x, 1, 5) + SingularityFunction(x, 1, 4), x) + 4*SingularityFunction(x, 1, 3) + 5*SingularityFunction(x, 1, 4) + >>> diff(SingularityFunction(x, 4, 0), x, 2) + SingularityFunction(x, 4, -2) + >>> SingularityFunction(x, 4, 5).rewrite(Piecewise) + Piecewise(((x - 4)**5, x >= 4), (0, True)) + >>> expr = SingularityFunction(x, a, n) + >>> y = Symbol('y', positive=True) + >>> n = Symbol('n', nonnegative=True) + >>> expr.subs({x: y, a: -10, n: n}) + (y + 10)**n + + The methods ``rewrite(DiracDelta)``, ``rewrite(Heaviside)``, and + ``rewrite('HeavisideDiracDelta')`` returns the same output. One can use any + of these methods according to their choice. + + >>> expr = SingularityFunction(x, 4, 5) + SingularityFunction(x, -3, -1) - SingularityFunction(x, 0, -2) + >>> expr.rewrite(Heaviside) + (x - 4)**5*Heaviside(x - 4, 1) + DiracDelta(x + 3) - DiracDelta(x, 1) + >>> expr.rewrite(DiracDelta) + (x - 4)**5*Heaviside(x - 4, 1) + DiracDelta(x + 3) - DiracDelta(x, 1) + >>> expr.rewrite('HeavisideDiracDelta') + (x - 4)**5*Heaviside(x - 4, 1) + DiracDelta(x + 3) - DiracDelta(x, 1) + + See Also + ======== + + DiracDelta, Heaviside + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Singularity_function + + """ + + is_real = True + + def fdiff(self, argindex=1): + """ + Returns the first derivative of a DiracDelta Function. + + Explanation + =========== + + The difference between ``diff()`` and ``fdiff()`` is: ``diff()`` is the + user-level function and ``fdiff()`` is an object method. ``fdiff()`` is + a convenience method available in the ``Function`` class. It returns + the derivative of the function without considering the chain rule. + ``diff(function, x)`` calls ``Function._eval_derivative`` which in turn + calls ``fdiff()`` internally to compute the derivative of the function. + + """ + + if argindex == 1: + x, a, n = self.args + if n in (S.Zero, S.NegativeOne, S(-2), S(-3)): + return self.func(x, a, n-1) + elif n.is_positive: + return n*self.func(x, a, n-1) + else: + raise ArgumentIndexError(self, argindex) + + @classmethod + def eval(cls, variable, offset, exponent): + """ + Returns a simplified form or a value of Singularity Function depending + on the argument passed by the object. + + Explanation + =========== + + The ``eval()`` method is automatically called when the + ``SingularityFunction`` class is about to be instantiated and it + returns either some simplified instance or the unevaluated instance + depending on the argument passed. In other words, ``eval()`` method is + not needed to be called explicitly, it is being called and evaluated + once the object is called. + + Examples + ======== + + >>> from sympy import SingularityFunction, Symbol, nan + >>> from sympy.abc import x, a, n + >>> SingularityFunction(x, a, n) + SingularityFunction(x, a, n) + >>> SingularityFunction(5, 3, 2) + 4 + >>> SingularityFunction(x, a, nan) + nan + >>> SingularityFunction(x, 3, 0).subs(x, 3) + 1 + >>> SingularityFunction(4, 1, 5) + 243 + >>> x = Symbol('x', positive = True) + >>> a = Symbol('a', negative = True) + >>> n = Symbol('n', nonnegative = True) + >>> SingularityFunction(x, a, n) + (-a + x)**n + >>> x = Symbol('x', negative = True) + >>> a = Symbol('a', positive = True) + >>> SingularityFunction(x, a, n) + 0 + + """ + + x = variable + a = offset + n = exponent + shift = (x - a) + + if fuzzy_not(im(shift).is_zero): + raise ValueError("Singularity Functions are defined only for Real Numbers.") + if fuzzy_not(im(n).is_zero): + raise ValueError("Singularity Functions are not defined for imaginary exponents.") + if shift is S.NaN or n is S.NaN: + return S.NaN + if (n + 4).is_negative: + raise ValueError("Singularity Functions are not defined for exponents less than -4.") + if shift.is_extended_negative: + return S.Zero + if n.is_nonnegative: + if shift.is_zero: # use literal 0 in case of Symbol('z', zero=True) + return S.Zero**n + if shift.is_extended_nonnegative: + return shift**n + if n in (S.NegativeOne, -2, -3, -4): + if shift.is_negative or shift.is_extended_positive: + return S.Zero + if shift.is_zero: + return oo + + def _eval_rewrite_as_Piecewise(self, *args, **kwargs): + ''' + Converts a Singularity Function expression into its Piecewise form. + + ''' + x, a, n = self.args + + if n in (S.NegativeOne, S(-2), S(-3), S(-4)): + return Piecewise((oo, Eq(x - a, 0)), (0, True)) + elif n.is_nonnegative: + return Piecewise(((x - a)**n, x - a >= 0), (0, True)) + + def _eval_rewrite_as_Heaviside(self, *args, **kwargs): + ''' + Rewrites a Singularity Function expression using Heavisides and DiracDeltas. + + ''' + x, a, n = self.args + + if n == -4: + return diff(Heaviside(x - a), x.free_symbols.pop(), 4) + if n == -3: + return diff(Heaviside(x - a), x.free_symbols.pop(), 3) + if n == -2: + return diff(Heaviside(x - a), x.free_symbols.pop(), 2) + if n == -1: + return diff(Heaviside(x - a), x.free_symbols.pop(), 1) + if n.is_nonnegative: + return (x - a)**n*Heaviside(x - a, 1) + + def _eval_as_leading_term(self, x, logx, cdir): + z, a, n = self.args + shift = (z - a).subs(x, 0) + if n < 0: + return S.Zero + elif n.is_zero and shift.is_zero: + return S.Zero if cdir == -1 else S.One + elif shift.is_positive: + return shift**n + return S.Zero + + def _eval_nseries(self, x, n, logx=None, cdir=0): + z, a, n = self.args + shift = (z - a).subs(x, 0) + if n < 0: + return S.Zero + elif n.is_zero and shift.is_zero: + return S.Zero if cdir == -1 else S.One + elif shift.is_positive: + return ((z - a)**n)._eval_nseries(x, n, logx=logx, cdir=cdir) + return S.Zero + + _eval_rewrite_as_DiracDelta = _eval_rewrite_as_Heaviside + _eval_rewrite_as_HeavisideDiracDelta = _eval_rewrite_as_Heaviside diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/spherical_harmonics.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/spherical_harmonics.py new file mode 100644 index 0000000000000000000000000000000000000000..541546b75e882b43c41814b5e92bb85ee41628d1 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/spherical_harmonics.py @@ -0,0 +1,334 @@ +from sympy.core.expr import Expr +from sympy.core.function import DefinedFunction, ArgumentIndexError +from sympy.core.numbers import I, pi +from sympy.core.singleton import S +from sympy.core.symbol import Dummy +from sympy.functions import assoc_legendre +from sympy.functions.combinatorial.factorials import factorial +from sympy.functions.elementary.complexes import Abs, conjugate +from sympy.functions.elementary.exponential import exp +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.trigonometric import sin, cos, cot + +_x = Dummy("x") + +class Ynm(DefinedFunction): + r""" + Spherical harmonics defined as + + .. math:: + Y_n^m(\theta, \varphi) := \sqrt{\frac{(2n+1)(n-m)!}{4\pi(n+m)!}} + \exp(i m \varphi) + \mathrm{P}_n^m\left(\cos(\theta)\right) + + Explanation + =========== + + ``Ynm()`` gives the spherical harmonic function of order $n$ and $m$ + in $\theta$ and $\varphi$, $Y_n^m(\theta, \varphi)$. The four + parameters are as follows: $n \geq 0$ an integer and $m$ an integer + such that $-n \leq m \leq n$ holds. The two angles are real-valued + with $\theta \in [0, \pi]$ and $\varphi \in [0, 2\pi]$. + + Examples + ======== + + >>> from sympy import Ynm, Symbol, simplify + >>> from sympy.abc import n,m + >>> theta = Symbol("theta") + >>> phi = Symbol("phi") + + >>> Ynm(n, m, theta, phi) + Ynm(n, m, theta, phi) + + Several symmetries are known, for the order: + + >>> Ynm(n, -m, theta, phi) + (-1)**m*exp(-2*I*m*phi)*Ynm(n, m, theta, phi) + + As well as for the angles: + + >>> Ynm(n, m, -theta, phi) + Ynm(n, m, theta, phi) + + >>> Ynm(n, m, theta, -phi) + exp(-2*I*m*phi)*Ynm(n, m, theta, phi) + + For specific integers $n$ and $m$ we can evaluate the harmonics + to more useful expressions: + + >>> simplify(Ynm(0, 0, theta, phi).expand(func=True)) + 1/(2*sqrt(pi)) + + >>> simplify(Ynm(1, -1, theta, phi).expand(func=True)) + sqrt(6)*exp(-I*phi)*sin(theta)/(4*sqrt(pi)) + + >>> simplify(Ynm(1, 0, theta, phi).expand(func=True)) + sqrt(3)*cos(theta)/(2*sqrt(pi)) + + >>> simplify(Ynm(1, 1, theta, phi).expand(func=True)) + -sqrt(6)*exp(I*phi)*sin(theta)/(4*sqrt(pi)) + + >>> simplify(Ynm(2, -2, theta, phi).expand(func=True)) + sqrt(30)*exp(-2*I*phi)*sin(theta)**2/(8*sqrt(pi)) + + >>> simplify(Ynm(2, -1, theta, phi).expand(func=True)) + sqrt(30)*exp(-I*phi)*sin(2*theta)/(8*sqrt(pi)) + + >>> simplify(Ynm(2, 0, theta, phi).expand(func=True)) + sqrt(5)*(3*cos(theta)**2 - 1)/(4*sqrt(pi)) + + >>> simplify(Ynm(2, 1, theta, phi).expand(func=True)) + -sqrt(30)*exp(I*phi)*sin(2*theta)/(8*sqrt(pi)) + + >>> simplify(Ynm(2, 2, theta, phi).expand(func=True)) + sqrt(30)*exp(2*I*phi)*sin(theta)**2/(8*sqrt(pi)) + + We can differentiate the functions with respect + to both angles: + + >>> from sympy import Ynm, Symbol, diff + >>> from sympy.abc import n,m + >>> theta = Symbol("theta") + >>> phi = Symbol("phi") + + >>> diff(Ynm(n, m, theta, phi), theta) + m*cot(theta)*Ynm(n, m, theta, phi) + sqrt((-m + n)*(m + n + 1))*exp(-I*phi)*Ynm(n, m + 1, theta, phi) + + >>> diff(Ynm(n, m, theta, phi), phi) + I*m*Ynm(n, m, theta, phi) + + Further we can compute the complex conjugation: + + >>> from sympy import Ynm, Symbol, conjugate + >>> from sympy.abc import n,m + >>> theta = Symbol("theta") + >>> phi = Symbol("phi") + + >>> conjugate(Ynm(n, m, theta, phi)) + (-1)**(2*m)*exp(-2*I*m*phi)*Ynm(n, m, theta, phi) + + To get back the well known expressions in spherical + coordinates, we use full expansion: + + >>> from sympy import Ynm, Symbol, expand_func + >>> from sympy.abc import n,m + >>> theta = Symbol("theta") + >>> phi = Symbol("phi") + + >>> expand_func(Ynm(n, m, theta, phi)) + sqrt((2*n + 1)*factorial(-m + n)/factorial(m + n))*exp(I*m*phi)*assoc_legendre(n, m, cos(theta))/(2*sqrt(pi)) + + See Also + ======== + + Ynm_c, Znm + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Spherical_harmonics + .. [2] https://mathworld.wolfram.com/SphericalHarmonic.html + .. [3] https://functions.wolfram.com/Polynomials/SphericalHarmonicY/ + .. [4] https://dlmf.nist.gov/14.30 + + """ + + @classmethod + def eval(cls, n, m, theta, phi): + # Handle negative index m and arguments theta, phi + if m.could_extract_minus_sign(): + m = -m + return S.NegativeOne**m * exp(-2*I*m*phi) * Ynm(n, m, theta, phi) + if theta.could_extract_minus_sign(): + theta = -theta + return Ynm(n, m, theta, phi) + if phi.could_extract_minus_sign(): + phi = -phi + return exp(-2*I*m*phi) * Ynm(n, m, theta, phi) + + # TODO Add more simplififcation here + + def _eval_expand_func(self, **hints): + n, m, theta, phi = self.args + rv = (sqrt((2*n + 1)/(4*pi) * factorial(n - m)/factorial(n + m)) * + exp(I*m*phi) * assoc_legendre(n, m, cos(theta))) + # We can do this because of the range of theta + return rv.subs(sqrt(-cos(theta)**2 + 1), sin(theta)) + + def fdiff(self, argindex=4): + if argindex == 1: + # Diff wrt n + raise ArgumentIndexError(self, argindex) + elif argindex == 2: + # Diff wrt m + raise ArgumentIndexError(self, argindex) + elif argindex == 3: + # Diff wrt theta + n, m, theta, phi = self.args + return (m * cot(theta) * Ynm(n, m, theta, phi) + + sqrt((n - m)*(n + m + 1)) * exp(-I*phi) * Ynm(n, m + 1, theta, phi)) + elif argindex == 4: + # Diff wrt phi + n, m, theta, phi = self.args + return I * m * Ynm(n, m, theta, phi) + else: + raise ArgumentIndexError(self, argindex) + + def _eval_rewrite_as_polynomial(self, n, m, theta, phi, **kwargs): + # TODO: Make sure n \in N + # TODO: Assert |m| <= n ortherwise we should return 0 + return self.expand(func=True) + + def _eval_rewrite_as_sin(self, n, m, theta, phi, **kwargs): + return self.rewrite(cos) + + def _eval_rewrite_as_cos(self, n, m, theta, phi, **kwargs): + # This method can be expensive due to extensive use of simplification! + from sympy.simplify import simplify, trigsimp + # TODO: Make sure n \in N + # TODO: Assert |m| <= n ortherwise we should return 0 + term = simplify(self.expand(func=True)) + # We can do this because of the range of theta + term = term.xreplace({Abs(sin(theta)):sin(theta)}) + return simplify(trigsimp(term)) + + def _eval_conjugate(self): + # TODO: Make sure theta \in R and phi \in R + n, m, theta, phi = self.args + return S.NegativeOne**m * self.func(n, -m, theta, phi) + + def as_real_imag(self, deep=True, **hints): + # TODO: Handle deep and hints + n, m, theta, phi = self.args + re = (sqrt((2*n + 1)/(4*pi) * factorial(n - m)/factorial(n + m)) * + cos(m*phi) * assoc_legendre(n, m, cos(theta))) + im = (sqrt((2*n + 1)/(4*pi) * factorial(n - m)/factorial(n + m)) * + sin(m*phi) * assoc_legendre(n, m, cos(theta))) + return (re, im) + + def _eval_evalf(self, prec): + # Note: works without this function by just calling + # mpmath for Legendre polynomials. But using + # the dedicated function directly is cleaner. + from mpmath import mp, workprec + n = self.args[0]._to_mpmath(prec) + m = self.args[1]._to_mpmath(prec) + theta = self.args[2]._to_mpmath(prec) + phi = self.args[3]._to_mpmath(prec) + with workprec(prec): + res = mp.spherharm(n, m, theta, phi) + return Expr._from_mpmath(res, prec) + + +def Ynm_c(n, m, theta, phi): + r""" + Conjugate spherical harmonics defined as + + .. math:: + \overline{Y_n^m(\theta, \varphi)} := (-1)^m Y_n^{-m}(\theta, \varphi). + + Examples + ======== + + >>> from sympy import Ynm_c, Symbol, simplify + >>> from sympy.abc import n,m + >>> theta = Symbol("theta") + >>> phi = Symbol("phi") + >>> Ynm_c(n, m, theta, phi) + (-1)**(2*m)*exp(-2*I*m*phi)*Ynm(n, m, theta, phi) + >>> Ynm_c(n, m, -theta, phi) + (-1)**(2*m)*exp(-2*I*m*phi)*Ynm(n, m, theta, phi) + + For specific integers $n$ and $m$ we can evaluate the harmonics + to more useful expressions: + + >>> simplify(Ynm_c(0, 0, theta, phi).expand(func=True)) + 1/(2*sqrt(pi)) + >>> simplify(Ynm_c(1, -1, theta, phi).expand(func=True)) + sqrt(6)*exp(I*(-phi + 2*conjugate(phi)))*sin(theta)/(4*sqrt(pi)) + + See Also + ======== + + Ynm, Znm + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Spherical_harmonics + .. [2] https://mathworld.wolfram.com/SphericalHarmonic.html + .. [3] https://functions.wolfram.com/Polynomials/SphericalHarmonicY/ + + """ + return conjugate(Ynm(n, m, theta, phi)) + + +class Znm(DefinedFunction): + r""" + Real spherical harmonics defined as + + .. math:: + + Z_n^m(\theta, \varphi) := + \begin{cases} + \frac{Y_n^m(\theta, \varphi) + \overline{Y_n^m(\theta, \varphi)}}{\sqrt{2}} &\quad m > 0 \\ + Y_n^m(\theta, \varphi) &\quad m = 0 \\ + \frac{Y_n^m(\theta, \varphi) - \overline{Y_n^m(\theta, \varphi)}}{i \sqrt{2}} &\quad m < 0 \\ + \end{cases} + + which gives in simplified form + + .. math:: + + Z_n^m(\theta, \varphi) = + \begin{cases} + \frac{Y_n^m(\theta, \varphi) + (-1)^m Y_n^{-m}(\theta, \varphi)}{\sqrt{2}} &\quad m > 0 \\ + Y_n^m(\theta, \varphi) &\quad m = 0 \\ + \frac{Y_n^m(\theta, \varphi) - (-1)^m Y_n^{-m}(\theta, \varphi)}{i \sqrt{2}} &\quad m < 0 \\ + \end{cases} + + Examples + ======== + + >>> from sympy import Znm, Symbol, simplify + >>> from sympy.abc import n, m + >>> theta = Symbol("theta") + >>> phi = Symbol("phi") + >>> Znm(n, m, theta, phi) + Znm(n, m, theta, phi) + + For specific integers n and m we can evaluate the harmonics + to more useful expressions: + + >>> simplify(Znm(0, 0, theta, phi).expand(func=True)) + 1/(2*sqrt(pi)) + >>> simplify(Znm(1, 1, theta, phi).expand(func=True)) + -sqrt(3)*sin(theta)*cos(phi)/(2*sqrt(pi)) + >>> simplify(Znm(2, 1, theta, phi).expand(func=True)) + -sqrt(15)*sin(2*theta)*cos(phi)/(4*sqrt(pi)) + + See Also + ======== + + Ynm, Ynm_c + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Spherical_harmonics + .. [2] https://mathworld.wolfram.com/SphericalHarmonic.html + .. [3] https://functions.wolfram.com/Polynomials/SphericalHarmonicY/ + + """ + + @classmethod + def eval(cls, n, m, theta, phi): + if m.is_positive: + zz = (Ynm(n, m, theta, phi) + Ynm_c(n, m, theta, phi)) / sqrt(2) + return zz + elif m.is_zero: + return Ynm(n, m, theta, phi) + elif m.is_negative: + zz = (Ynm(n, m, theta, phi) - Ynm_c(n, m, theta, phi)) / (sqrt(2)*I) + return zz diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/tensor_functions.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/tensor_functions.py new file mode 100644 index 0000000000000000000000000000000000000000..6d996a58cbc8320620c9a1f6e68529c3b5e99aef --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/tensor_functions.py @@ -0,0 +1,474 @@ +from math import prod + +from sympy.core import S, Integer +from sympy.core.function import DefinedFunction +from sympy.core.logic import fuzzy_not +from sympy.core.relational import Ne +from sympy.core.sorting import default_sort_key +from sympy.external.gmpy import SYMPY_INTS +from sympy.functions.combinatorial.factorials import factorial +from sympy.functions.elementary.piecewise import Piecewise +from sympy.utilities.iterables import has_dups + +############################################################################### +###################### Kronecker Delta, Levi-Civita etc. ###################### +############################################################################### + + +def Eijk(*args, **kwargs): + """ + Represent the Levi-Civita symbol. + + This is a compatibility wrapper to ``LeviCivita()``. + + See Also + ======== + + LeviCivita + + """ + return LeviCivita(*args, **kwargs) + + +def eval_levicivita(*args): + """Evaluate Levi-Civita symbol.""" + n = len(args) + return prod( + prod(args[j] - args[i] for j in range(i + 1, n)) + / factorial(i) for i in range(n)) + # converting factorial(i) to int is slightly faster + + +class LeviCivita(DefinedFunction): + """ + Represent the Levi-Civita symbol. + + Explanation + =========== + + For even permutations of indices it returns 1, for odd permutations -1, and + for everything else (a repeated index) it returns 0. + + Thus it represents an alternating pseudotensor. + + Examples + ======== + + >>> from sympy import LeviCivita + >>> from sympy.abc import i, j, k + >>> LeviCivita(1, 2, 3) + 1 + >>> LeviCivita(1, 3, 2) + -1 + >>> LeviCivita(1, 2, 2) + 0 + >>> LeviCivita(i, j, k) + LeviCivita(i, j, k) + >>> LeviCivita(i, j, i) + 0 + + See Also + ======== + + Eijk + + """ + + is_integer = True + + @classmethod + def eval(cls, *args): + if all(isinstance(a, (SYMPY_INTS, Integer)) for a in args): + return eval_levicivita(*args) + if has_dups(args): + return S.Zero + + def doit(self, **hints): + return eval_levicivita(*self.args) + + +class KroneckerDelta(DefinedFunction): + """ + The discrete, or Kronecker, delta function. + + Explanation + =========== + + A function that takes in two integers $i$ and $j$. It returns $0$ if $i$ + and $j$ are not equal, or it returns $1$ if $i$ and $j$ are equal. + + Examples + ======== + + An example with integer indices: + + >>> from sympy import KroneckerDelta + >>> KroneckerDelta(1, 2) + 0 + >>> KroneckerDelta(3, 3) + 1 + + Symbolic indices: + + >>> from sympy.abc import i, j, k + >>> KroneckerDelta(i, j) + KroneckerDelta(i, j) + >>> KroneckerDelta(i, i) + 1 + >>> KroneckerDelta(i, i + 1) + 0 + >>> KroneckerDelta(i, i + 1 + k) + KroneckerDelta(i, i + k + 1) + + Parameters + ========== + + i : Number, Symbol + The first index of the delta function. + j : Number, Symbol + The second index of the delta function. + + See Also + ======== + + eval + DiracDelta + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Kronecker_delta + + """ + + is_integer = True + + @classmethod + def eval(cls, i, j, delta_range=None): + """ + Evaluates the discrete delta function. + + Examples + ======== + + >>> from sympy import KroneckerDelta + >>> from sympy.abc import i, j, k + + >>> KroneckerDelta(i, j) + KroneckerDelta(i, j) + >>> KroneckerDelta(i, i) + 1 + >>> KroneckerDelta(i, i + 1) + 0 + >>> KroneckerDelta(i, i + 1 + k) + KroneckerDelta(i, i + k + 1) + + # indirect doctest + + """ + + if delta_range is not None: + dinf, dsup = delta_range + if (dinf - i > 0) == True: + return S.Zero + if (dinf - j > 0) == True: + return S.Zero + if (dsup - i < 0) == True: + return S.Zero + if (dsup - j < 0) == True: + return S.Zero + + diff = i - j + if diff.is_zero: + return S.One + elif fuzzy_not(diff.is_zero): + return S.Zero + + if i.assumptions0.get("below_fermi") and \ + j.assumptions0.get("above_fermi"): + return S.Zero + if j.assumptions0.get("below_fermi") and \ + i.assumptions0.get("above_fermi"): + return S.Zero + # to make KroneckerDelta canonical + # following lines will check if inputs are in order + # if not, will return KroneckerDelta with correct order + if default_sort_key(j) < default_sort_key(i): + if delta_range: + return cls(j, i, delta_range) + else: + return cls(j, i) + + @property + def delta_range(self): + if len(self.args) > 2: + return self.args[2] + + def _eval_power(self, expt): + if expt.is_positive: + return self + if expt.is_negative and expt is not S.NegativeOne: + return 1/self + + @property + def is_above_fermi(self): + """ + True if Delta can be non-zero above fermi. + + Examples + ======== + + >>> from sympy import KroneckerDelta, Symbol + >>> a = Symbol('a', above_fermi=True) + >>> i = Symbol('i', below_fermi=True) + >>> p = Symbol('p') + >>> q = Symbol('q') + >>> KroneckerDelta(p, a).is_above_fermi + True + >>> KroneckerDelta(p, i).is_above_fermi + False + >>> KroneckerDelta(p, q).is_above_fermi + True + + See Also + ======== + + is_below_fermi, is_only_below_fermi, is_only_above_fermi + + """ + if self.args[0].assumptions0.get("below_fermi"): + return False + if self.args[1].assumptions0.get("below_fermi"): + return False + return True + + @property + def is_below_fermi(self): + """ + True if Delta can be non-zero below fermi. + + Examples + ======== + + >>> from sympy import KroneckerDelta, Symbol + >>> a = Symbol('a', above_fermi=True) + >>> i = Symbol('i', below_fermi=True) + >>> p = Symbol('p') + >>> q = Symbol('q') + >>> KroneckerDelta(p, a).is_below_fermi + False + >>> KroneckerDelta(p, i).is_below_fermi + True + >>> KroneckerDelta(p, q).is_below_fermi + True + + See Also + ======== + + is_above_fermi, is_only_above_fermi, is_only_below_fermi + + """ + if self.args[0].assumptions0.get("above_fermi"): + return False + if self.args[1].assumptions0.get("above_fermi"): + return False + return True + + @property + def is_only_above_fermi(self): + """ + True if Delta is restricted to above fermi. + + Examples + ======== + + >>> from sympy import KroneckerDelta, Symbol + >>> a = Symbol('a', above_fermi=True) + >>> i = Symbol('i', below_fermi=True) + >>> p = Symbol('p') + >>> q = Symbol('q') + >>> KroneckerDelta(p, a).is_only_above_fermi + True + >>> KroneckerDelta(p, q).is_only_above_fermi + False + >>> KroneckerDelta(p, i).is_only_above_fermi + False + + See Also + ======== + + is_above_fermi, is_below_fermi, is_only_below_fermi + + """ + return ( self.args[0].assumptions0.get("above_fermi") + or + self.args[1].assumptions0.get("above_fermi") + ) or False + + @property + def is_only_below_fermi(self): + """ + True if Delta is restricted to below fermi. + + Examples + ======== + + >>> from sympy import KroneckerDelta, Symbol + >>> a = Symbol('a', above_fermi=True) + >>> i = Symbol('i', below_fermi=True) + >>> p = Symbol('p') + >>> q = Symbol('q') + >>> KroneckerDelta(p, i).is_only_below_fermi + True + >>> KroneckerDelta(p, q).is_only_below_fermi + False + >>> KroneckerDelta(p, a).is_only_below_fermi + False + + See Also + ======== + + is_above_fermi, is_below_fermi, is_only_above_fermi + + """ + return ( self.args[0].assumptions0.get("below_fermi") + or + self.args[1].assumptions0.get("below_fermi") + ) or False + + @property + def indices_contain_equal_information(self): + """ + Returns True if indices are either both above or below fermi. + + Examples + ======== + + >>> from sympy import KroneckerDelta, Symbol + >>> a = Symbol('a', above_fermi=True) + >>> i = Symbol('i', below_fermi=True) + >>> p = Symbol('p') + >>> q = Symbol('q') + >>> KroneckerDelta(p, q).indices_contain_equal_information + True + >>> KroneckerDelta(p, q+1).indices_contain_equal_information + True + >>> KroneckerDelta(i, p).indices_contain_equal_information + False + + """ + if (self.args[0].assumptions0.get("below_fermi") and + self.args[1].assumptions0.get("below_fermi")): + return True + if (self.args[0].assumptions0.get("above_fermi") + and self.args[1].assumptions0.get("above_fermi")): + return True + + # if both indices are general we are True, else false + return self.is_below_fermi and self.is_above_fermi + + @property + def preferred_index(self): + """ + Returns the index which is preferred to keep in the final expression. + + Explanation + =========== + + The preferred index is the index with more information regarding fermi + level. If indices contain the same information, 'a' is preferred before + 'b'. + + Examples + ======== + + >>> from sympy import KroneckerDelta, Symbol + >>> a = Symbol('a', above_fermi=True) + >>> i = Symbol('i', below_fermi=True) + >>> j = Symbol('j', below_fermi=True) + >>> p = Symbol('p') + >>> KroneckerDelta(p, i).preferred_index + i + >>> KroneckerDelta(p, a).preferred_index + a + >>> KroneckerDelta(i, j).preferred_index + i + + See Also + ======== + + killable_index + + """ + if self._get_preferred_index(): + return self.args[1] + else: + return self.args[0] + + @property + def killable_index(self): + """ + Returns the index which is preferred to substitute in the final + expression. + + Explanation + =========== + + The index to substitute is the index with less information regarding + fermi level. If indices contain the same information, 'a' is preferred + before 'b'. + + Examples + ======== + + >>> from sympy import KroneckerDelta, Symbol + >>> a = Symbol('a', above_fermi=True) + >>> i = Symbol('i', below_fermi=True) + >>> j = Symbol('j', below_fermi=True) + >>> p = Symbol('p') + >>> KroneckerDelta(p, i).killable_index + p + >>> KroneckerDelta(p, a).killable_index + p + >>> KroneckerDelta(i, j).killable_index + j + + See Also + ======== + + preferred_index + + """ + if self._get_preferred_index(): + return self.args[0] + else: + return self.args[1] + + def _get_preferred_index(self): + """ + Returns the index which is preferred to keep in the final expression. + + The preferred index is the index with more information regarding fermi + level. 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a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/tests/__pycache__/test_zeta_functions.cpython-312.pyc b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/tests/__pycache__/test_zeta_functions.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..f4c0d5ae26f6975c1c17f5c0be8862ff51d886ed Binary files /dev/null and b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/tests/__pycache__/test_zeta_functions.cpython-312.pyc differ diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/tests/test_bessel.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/tests/test_bessel.py new file mode 100644 index 0000000000000000000000000000000000000000..ccd1ce88ca9dea15f065e7c57d488498b8f79f4e --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/tests/test_bessel.py @@ -0,0 +1,807 @@ +from itertools import product + +from sympy.concrete.summations import Sum +from sympy.core.function import (diff, expand_func) +from sympy.core.numbers import (I, Rational, oo, pi) +from sympy.core.singleton import S +from sympy.core.symbol import (Symbol, symbols) +from sympy.functions.elementary.complexes import (conjugate, polar_lift) +from sympy.functions.elementary.exponential import (exp, exp_polar, log) +from sympy.functions.elementary.hyperbolic import (cosh, sinh) +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.trigonometric import (cos, sin) +from sympy.functions.special.bessel import (besseli, besselj, besselk, bessely, hankel1, hankel2, hn1, hn2, jn, jn_zeros, yn) +from sympy.functions.special.gamma_functions import (gamma, uppergamma) +from sympy.functions.special.hyper import hyper +from sympy.integrals.integrals import Integral +from sympy.series.order import O +from sympy.series.series import series +from sympy.functions.special.bessel import (airyai, airybi, + airyaiprime, airybiprime, marcumq) +from sympy.core.random import (random_complex_number as randcplx, + verify_numerically as tn, + test_derivative_numerically as td, + _randint) +from sympy.simplify import besselsimp +from sympy.testing.pytest import raises, slow + +from sympy.abc import z, n, k, x + +randint = _randint() + + +def test_bessel_rand(): + for f in [besselj, bessely, besseli, besselk, hankel1, hankel2]: + assert td(f(randcplx(), z), z) + + for f in [jn, yn, hn1, hn2]: + assert td(f(randint(-10, 10), z), z) + + +def test_bessel_twoinputs(): + for f in [besselj, bessely, besseli, besselk, hankel1, hankel2, jn, yn]: + raises(TypeError, lambda: f(1)) + raises(TypeError, lambda: f(1, 2, 3)) + + +def test_besselj_leading_term(): + assert besselj(0, x).as_leading_term(x) == 1 + assert besselj(1, sin(x)).as_leading_term(x) == x/2 + assert besselj(1, 2*sqrt(x)).as_leading_term(x) == sqrt(x) + + # https://github.com/sympy/sympy/issues/21701 + assert (besselj(z, x)/x**z).as_leading_term(x) == 1/(2**z*gamma(z + 1)) + + +def test_bessely_leading_term(): + assert bessely(0, x).as_leading_term(x) == (2*log(x) - 2*log(2) + 2*S.EulerGamma)/pi + assert bessely(1, sin(x)).as_leading_term(x) == -2/(pi*x) + assert bessely(1, 2*sqrt(x)).as_leading_term(x) == -1/(pi*sqrt(x)) + + +def test_besseli_leading_term(): + assert besseli(0, x).as_leading_term(x) == 1 + assert besseli(1, sin(x)).as_leading_term(x) == x/2 + assert besseli(1, 2*sqrt(x)).as_leading_term(x) == sqrt(x) + + +def test_besselk_leading_term(): + assert besselk(0, x).as_leading_term(x) == -log(x) - S.EulerGamma + log(2) + assert besselk(1, sin(x)).as_leading_term(x) == 1/x + assert besselk(1, 2*sqrt(x)).as_leading_term(x) == 1/(2*sqrt(x)) + assert besselk(S(5)/3, x).as_leading_term(x) == 2**(S(2)/3)*gamma(S(5)/3)/x**(S(5)/3) + assert besselk(S(2)/3, x).as_leading_term(x) == besselk(-S(2)/3, x).as_leading_term(x) + assert besselk(1,cos(x)).as_leading_term(x) == besselk(1,1) + assert besselk(3,1/x).as_leading_term(x) == sqrt(pi)*exp(-(1/x))/sqrt(2/x) + assert besselk(3,1/sin(x)).as_leading_term(x) == sqrt(pi)*exp(-(1/x))/sqrt(2/x) + + nz = Symbol("nz", nonzero=True) + assert besselk(nz, x).as_leading_term(x).subs({nz:S(5)/7}) == besselk(S(5)/7, x).series(x).as_leading_term(x) + assert besselk(nz, x).as_leading_term(x).subs({nz:S(-15)/7}) == besselk(S(-15)/7, x).series(x).as_leading_term(x) + assert besselk(nz, x).as_leading_term(x).subs({nz:3}) == besselk(3, x).series(x).as_leading_term(x) + assert besselk(nz, x).as_leading_term(x).subs({nz:-2}) == besselk(-2, x).series(x).as_leading_term(x) + + +def test_besselj_series(): + assert besselj(0, x).series(x) == 1 - x**2/4 + x**4/64 + O(x**6) + assert besselj(0, x**(1.1)).series(x) == 1 + x**4.4/64 - x**2.2/4 + O(x**6) + assert besselj(0, x**2 + x).series(x) == 1 - x**2/4 - x**3/2\ + - 15*x**4/64 + x**5/16 + O(x**6) + assert besselj(0, sqrt(x) + x).series(x, n=4) == 1 - x/4 - 15*x**2/64\ + + 215*x**3/2304 - x**Rational(3, 2)/2 + x**Rational(5, 2)/16\ + + 23*x**Rational(7, 2)/384 + O(x**4) + assert besselj(0, x/(1 - x)).series(x) == 1 - x**2/4 - x**3/2 - 47*x**4/64\ + - 15*x**5/16 + O(x**6) + assert besselj(0, log(1 + x)).series(x) == 1 - x**2/4 + x**3/4\ + - 41*x**4/192 + 17*x**5/96 + O(x**6) + assert besselj(1, sin(x)).series(x) == x/2 - 7*x**3/48 + 73*x**5/1920 + O(x**6) + assert besselj(1, 2*sqrt(x)).series(x) == sqrt(x) - x**Rational(3, 2)/2\ + + x**Rational(5, 2)/12 - x**Rational(7, 2)/144 + x**Rational(9, 2)/2880\ + - x**Rational(11, 2)/86400 + O(x**6) + assert besselj(-2, sin(x)).series(x, n=4) == besselj(2, sin(x)).series(x, n=4) + + +def test_bessely_series(): + const = 2*S.EulerGamma/pi - 2*log(2)/pi + 2*log(x)/pi + assert bessely(0, x).series(x, n=4) == const + x**2*(-log(x)/(2*pi)\ + + (2 - 2*S.EulerGamma)/(4*pi) + log(2)/(2*pi)) + O(x**4*log(x)) + assert bessely(1, x).series(x, n=4) == -2/(pi*x) + x*(log(x)/pi - log(2)/pi - \ + (1 - 2*S.EulerGamma)/(2*pi)) + x**3*(-log(x)/(8*pi) + \ + (S(5)/2 - 2*S.EulerGamma)/(16*pi) + log(2)/(8*pi)) + O(x**4*log(x)) + assert bessely(2, x).series(x, n=4) == -4/(pi*x**2) - 1/pi + x**2*(log(x)/(4*pi) - \ + log(2)/(4*pi) - (S(3)/2 - 2*S.EulerGamma)/(8*pi)) + O(x**4*log(x)) + assert bessely(3, x).series(x, n=4) == -16/(pi*x**3) - 2/(pi*x) - \ + x/(4*pi) + x**3*(log(x)/(24*pi) - log(2)/(24*pi) - \ + (S(11)/6 - 2*S.EulerGamma)/(48*pi)) + O(x**4*log(x)) + assert bessely(0, x**(1.1)).series(x, n=4) == 2*S.EulerGamma/pi\ + - 2*log(2)/pi + 2.2*log(x)/pi + x**2.2*(-0.55*log(x)/pi\ + + (2 - 2*S.EulerGamma)/(4*pi) + log(2)/(2*pi)) + O(x**4*log(x)) + assert bessely(0, x**2 + x).series(x, n=4) == \ + const - (2 - 2*S.EulerGamma)*(-x**3/(2*pi) - x**2/(4*pi)) + 2*x/pi\ + + x**2*(-log(x)/(2*pi) - 1/pi + log(2)/(2*pi))\ + + x**3*(-log(x)/pi + 1/(6*pi) + log(2)/pi) + O(x**4*log(x)) + assert bessely(0, x/(1 - x)).series(x, n=3) == const\ + + 2*x/pi + x**2*(-log(x)/(2*pi) + (2 - 2*S.EulerGamma)/(4*pi)\ + + log(2)/(2*pi) + 1/pi) + O(x**3*log(x)) + assert bessely(0, log(1 + x)).series(x, n=3) == const\ + - x/pi + x**2*(-log(x)/(2*pi) + (2 - 2*S.EulerGamma)/(4*pi)\ + + log(2)/(2*pi) + 5/(12*pi)) + O(x**3*log(x)) + assert bessely(1, sin(x)).series(x, n=4) == -1/(pi*(-x**3/12 + x/2)) - \ + (1 - 2*S.EulerGamma)*(-x**3/12 + x/2)/pi + x*(log(x)/pi - log(2)/pi) + \ + x**3*(-7*log(x)/(24*pi) - 1/(6*pi) + (S(5)/2 - 2*S.EulerGamma)/(16*pi) + + 7*log(2)/(24*pi)) + O(x**4*log(x)) + assert bessely(1, 2*sqrt(x)).series(x, n=3) == -1/(pi*sqrt(x)) + \ + sqrt(x)*(log(x)/pi - (1 - 2*S.EulerGamma)/pi) + x**(S(3)/2)*(-log(x)/(2*pi) + \ + (S(5)/2 - 2*S.EulerGamma)/(2*pi)) + x**(S(5)/2)*(log(x)/(12*pi) - \ + (S(10)/3 - 2*S.EulerGamma)/(12*pi)) + O(x**3*log(x)) + assert bessely(-2, sin(x)).series(x, n=4) == bessely(2, sin(x)).series(x, n=4) + + +def test_besseli_series(): + assert besseli(0, x).series(x) == 1 + x**2/4 + x**4/64 + O(x**6) + assert besseli(0, x**(1.1)).series(x) == 1 + x**4.4/64 + x**2.2/4 + O(x**6) + assert besseli(0, x**2 + x).series(x) == 1 + x**2/4 + x**3/2 + 17*x**4/64 + \ + x**5/16 + O(x**6) + assert besseli(0, sqrt(x) + x).series(x, n=4) == 1 + x/4 + 17*x**2/64 + \ + 217*x**3/2304 + x**(S(3)/2)/2 + x**(S(5)/2)/16 + 25*x**(S(7)/2)/384 + O(x**4) + assert besseli(0, x/(1 - x)).series(x) == 1 + x**2/4 + x**3/2 + 49*x**4/64 + \ + 17*x**5/16 + O(x**6) + assert besseli(0, log(1 + x)).series(x) == 1 + x**2/4 - x**3/4 + 47*x**4/192 - \ + 23*x**5/96 + O(x**6) + assert besseli(1, sin(x)).series(x) == x/2 - x**3/48 - 47*x**5/1920 + O(x**6) + assert besseli(1, 2*sqrt(x)).series(x) == sqrt(x) + x**(S(3)/2)/2 + x**(S(5)/2)/12 + \ + x**(S(7)/2)/144 + x**(S(9)/2)/2880 + x**(S(11)/2)/86400 + O(x**6) + assert besseli(-2, sin(x)).series(x, n=4) == besseli(2, sin(x)).series(x, n=4) + + #test for aseries + assert besseli(0,x).series(x, oo, n=4) == sqrt(2)*(sqrt(1/x) - (1/x)**(S(3)/2)/8 - \ + 3*(1/x)**(S(5)/2)/128 - 15*(1/x)**(S(7)/2)/1024 + O((1/x)**(S(9)/2), (x, oo)))*exp(x)/(2*sqrt(pi)) + assert besseli(0,x).series(x,-oo, n=4) == sqrt(2)*(sqrt(-1/x) - (-1/x)**(S(3)/2)/8 - 3*(-1/x)**(S(5)/2)/128 - \ + 15*(-1/x)**(S(7)/2)/1024 + O((-1/x)**(S(9)/2), (x, -oo)))*exp(-x)/(2*sqrt(pi)) + + +def test_besselk_series(): + const = log(2) - S.EulerGamma - log(x) + assert besselk(0, x).series(x, n=4) == const + \ + x**2*(-log(x)/4 - S.EulerGamma/4 + log(2)/4 + S(1)/4) + O(x**4*log(x)) + assert besselk(1, x).series(x, n=4) == 1/x + x*(log(x)/2 - log(2)/2 - \ + S(1)/4 + S.EulerGamma/2) + x**3*(log(x)/16 - S(5)/64 - log(2)/16 + \ + S.EulerGamma/16) + O(x**4*log(x)) + assert besselk(2, x).series(x, n=4) == 2/x**2 - S(1)/2 + x**2*(-log(x)/8 - \ + S.EulerGamma/8 + log(2)/8 + S(3)/32) + O(x**4*log(x)) + assert besselk(2, x).series(x, n=1) == 2/x**2 - S(1)/2 + O(x) #edge case for series truncation + assert besselk(0, x**(1.1)).series(x, n=4) == log(2) - S.EulerGamma - \ + 1.1*log(x) + x**2.2*(-0.275*log(x) - S.EulerGamma/4 + \ + log(2)/4 + S(1)/4) + O(x**4*log(x)) + assert besselk(0, x**2 + x).series(x, n=4) == const + \ + (2 - 2*S.EulerGamma)*(x**3/4 + x**2/8) - x + x**2*(-log(x)/4 + \ + log(2)/4 + S(1)/2) + x**3*(-log(x)/2 - S(7)/12 + log(2)/2) + O(x**4*log(x)) + assert besselk(0, x/(1 - x)).series(x, n=3) == const - x + x**2*(-log(x)/4 - \ + S(1)/4 - S.EulerGamma/4 + log(2)/4) + O(x**3*log(x)) + assert besselk(0, log(1 + x)).series(x, n=3) == const + x/2 + \ + x**2*(-log(x)/4 - S.EulerGamma/4 + S(1)/24 + log(2)/4) + O(x**3*log(x)) + assert besselk(1, 2*sqrt(x)).series(x, n=3) == 1/(2*sqrt(x)) + \ + sqrt(x)*(log(x)/2 - S(1)/2 + S.EulerGamma) + x**(S(3)/2)*(log(x)/4 - S(5)/8 + \ + S.EulerGamma/2) + x**(S(5)/2)*(log(x)/24 - S(5)/36 + S.EulerGamma/12) + O(x**3*log(x)) + assert besselk(-2, sin(x)).series(x, n=4) == besselk(2, sin(x)).series(x, n=4) + assert besselk(2, x**2).series(x, n=2) == 2/x**4 - S(1)/2 + O(x**2) #edge case for series truncation + assert besselk(2, x**2).series(x, n=6) == 2/x**4 - S(1)/2 + x**4*(-log(x)/4 - S.EulerGamma/8 + log(2)/8 + S(3)/32) + O(x**6*log(x)) + assert (x**2*besselk(2, x)).series(x, n=2) == 2 + O(x**2) + + #test for aseries + assert besselk(0,x).series(x, oo, n=4) == sqrt(2)*sqrt(pi)*(sqrt(1/x) + (1/x)**(S(3)/2)/8 - \ + 3*(1/x)**(S(5)/2)/128 + 15*(1/x)**(S(7)/2)/1024 + O((1/x)**(S(9)/2), (x, oo)))*exp(-x)/2 + assert besselk(0,x).series(x, -oo, n=4) == sqrt(2)*sqrt(pi)*(-I*sqrt(-1/x) + I*(-1/x)**(S(3)/2)/8 + \ + 3*I*(-1/x)**(S(5)/2)/128 + 15*I*(-1/x)**(S(7)/2)/1024 + O((-1/x)**(S(9)/2), (x, -oo)))*exp(-x)/2 + + +def test_besselk_frac_order_series(): + assert besselk(S(5)/3, x).series(x, n=2) == 2**(S(2)/3)*gamma(S(5)/3)/x**(S(5)/3) - \ + 3*gamma(S(5)/3)*x**(S(1)/3)/(4*2**(S(1)/3)) + \ + gamma(-S(5)/3)*x**(S(5)/3)/(4*2**(S(2)/3)) + O(x**2) + assert besselk(S(1)/2, x).series(x, n=2) == sqrt(pi/2)/sqrt(x) - \ + sqrt(pi*x/2) + x**(S(3)/2)*sqrt(pi/2)/2 + O(x**2) + assert besselk(S(1)/2, sqrt(x)).series(x, n=2) == sqrt(pi/2)/x**(S(1)/4) - \ + sqrt(pi/2)*x**(S(1)/4) + sqrt(pi/2)*x**(S(3)/4)/2 - \ + sqrt(pi/2)*x**(S(5)/4)/6 + sqrt(pi/2)*x**(S(7)/4)/24 + O(x**2) + assert besselk(S(1)/2, x**2).series(x, n=2) == sqrt(pi/2)/x \ + - sqrt(pi/2)*x + O(x**2) + assert besselk(-S(1)/2, x).series(x) == besselk(S(1)/2, x).series(x) + assert besselk(-S(7)/6, x).series(x) == besselk(S(7)/6, x).series(x) + + +def test_diff(): + assert besselj(n, z).diff(z) == besselj(n - 1, z)/2 - besselj(n + 1, z)/2 + assert bessely(n, z).diff(z) == bessely(n - 1, z)/2 - bessely(n + 1, z)/2 + assert besseli(n, z).diff(z) == besseli(n - 1, z)/2 + besseli(n + 1, z)/2 + assert besselk(n, z).diff(z) == -besselk(n - 1, z)/2 - besselk(n + 1, z)/2 + assert hankel1(n, z).diff(z) == hankel1(n - 1, z)/2 - hankel1(n + 1, z)/2 + assert hankel2(n, z).diff(z) == hankel2(n - 1, z)/2 - hankel2(n + 1, z)/2 + + +def test_rewrite(): + assert besselj(n, z).rewrite(jn) == sqrt(2*z/pi)*jn(n - S.Half, z) + assert bessely(n, z).rewrite(yn) == sqrt(2*z/pi)*yn(n - S.Half, z) + assert besseli(n, z).rewrite(besselj) == \ + exp(-I*n*pi/2)*besselj(n, polar_lift(I)*z) + assert besselj(n, z).rewrite(besseli) == \ + exp(I*n*pi/2)*besseli(n, polar_lift(-I)*z) + + nu = randcplx() + + assert tn(besselj(nu, z), besselj(nu, z).rewrite(besseli), z) + assert tn(besselj(nu, z), besselj(nu, z).rewrite(bessely), z) + + assert tn(besseli(nu, z), besseli(nu, z).rewrite(besselj), z) + assert tn(besseli(nu, z), besseli(nu, z).rewrite(bessely), z) + + assert tn(bessely(nu, z), bessely(nu, z).rewrite(besselj), z) + assert tn(bessely(nu, z), bessely(nu, z).rewrite(besseli), z) + + assert tn(besselk(nu, z), besselk(nu, z).rewrite(besselj), z) + assert tn(besselk(nu, z), besselk(nu, z).rewrite(besseli), z) + assert tn(besselk(nu, z), besselk(nu, z).rewrite(bessely), z) + + # check that a rewrite was triggered, when the order is set to a generic + # symbol 'nu' + assert yn(nu, z) != yn(nu, z).rewrite(jn) + assert hn1(nu, z) != hn1(nu, z).rewrite(jn) + assert hn2(nu, z) != hn2(nu, z).rewrite(jn) + assert jn(nu, z) != jn(nu, z).rewrite(yn) + assert hn1(nu, z) != hn1(nu, z).rewrite(yn) + assert hn2(nu, z) != hn2(nu, z).rewrite(yn) + + # rewriting spherical bessel functions (SBFs) w.r.t. besselj, bessely is + # not allowed if a generic symbol 'nu' is used as the order of the SBFs + # to avoid inconsistencies (the order of bessel[jy] is allowed to be + # complex-valued, whereas SBFs are defined only for integer orders) + order = nu + for f in (besselj, bessely): + assert hn1(order, z) == hn1(order, z).rewrite(f) + assert hn2(order, z) == hn2(order, z).rewrite(f) + + assert jn(order, z).rewrite(besselj) == sqrt(2)*sqrt(pi)*sqrt(1/z)*besselj(order + S.Half, z)/2 + assert jn(order, z).rewrite(bessely) == (-1)**nu*sqrt(2)*sqrt(pi)*sqrt(1/z)*bessely(-order - S.Half, z)/2 + + # for integral orders rewriting SBFs w.r.t bessel[jy] is allowed + N = Symbol('n', integer=True) + ri = randint(-11, 10) + for order in (ri, N): + for f in (besselj, bessely): + assert yn(order, z) != yn(order, z).rewrite(f) + assert jn(order, z) != jn(order, z).rewrite(f) + assert hn1(order, z) != hn1(order, z).rewrite(f) + assert hn2(order, z) != hn2(order, z).rewrite(f) + + for func, refunc in product((yn, jn, hn1, hn2), + (jn, yn, besselj, bessely)): + assert tn(func(ri, z), func(ri, z).rewrite(refunc), z) + + +def test_expand(): + assert expand_func(besselj(S.Half, z).rewrite(jn)) == \ + sqrt(2)*sin(z)/(sqrt(pi)*sqrt(z)) + assert expand_func(bessely(S.Half, z).rewrite(yn)) == \ + -sqrt(2)*cos(z)/(sqrt(pi)*sqrt(z)) + + # XXX: teach sin/cos to work around arguments like + # x*exp_polar(I*pi*n/2). Then change besselsimp -> expand_func + assert besselsimp(besselj(S.Half, z)) == sqrt(2)*sin(z)/(sqrt(pi)*sqrt(z)) + assert besselsimp(besselj(Rational(-1, 2), z)) == sqrt(2)*cos(z)/(sqrt(pi)*sqrt(z)) + assert besselsimp(besselj(Rational(5, 2), z)) == \ + -sqrt(2)*(z**2*sin(z) + 3*z*cos(z) - 3*sin(z))/(sqrt(pi)*z**Rational(5, 2)) + assert besselsimp(besselj(Rational(-5, 2), z)) == \ + -sqrt(2)*(z**2*cos(z) - 3*z*sin(z) - 3*cos(z))/(sqrt(pi)*z**Rational(5, 2)) + + assert besselsimp(bessely(S.Half, z)) == \ + -(sqrt(2)*cos(z))/(sqrt(pi)*sqrt(z)) + assert besselsimp(bessely(Rational(-1, 2), z)) == sqrt(2)*sin(z)/(sqrt(pi)*sqrt(z)) + assert besselsimp(bessely(Rational(5, 2), z)) == \ + sqrt(2)*(z**2*cos(z) - 3*z*sin(z) - 3*cos(z))/(sqrt(pi)*z**Rational(5, 2)) + assert besselsimp(bessely(Rational(-5, 2), z)) == \ + -sqrt(2)*(z**2*sin(z) + 3*z*cos(z) - 3*sin(z))/(sqrt(pi)*z**Rational(5, 2)) + + assert besselsimp(besseli(S.Half, z)) == sqrt(2)*sinh(z)/(sqrt(pi)*sqrt(z)) + assert besselsimp(besseli(Rational(-1, 2), z)) == \ + sqrt(2)*cosh(z)/(sqrt(pi)*sqrt(z)) + assert besselsimp(besseli(Rational(5, 2), z)) == \ + sqrt(2)*(z**2*sinh(z) - 3*z*cosh(z) + 3*sinh(z))/(sqrt(pi)*z**Rational(5, 2)) + assert besselsimp(besseli(Rational(-5, 2), z)) == \ + sqrt(2)*(z**2*cosh(z) - 3*z*sinh(z) + 3*cosh(z))/(sqrt(pi)*z**Rational(5, 2)) + + assert besselsimp(besselk(S.Half, z)) == \ + besselsimp(besselk(Rational(-1, 2), z)) == sqrt(pi)*exp(-z)/(sqrt(2)*sqrt(z)) + assert besselsimp(besselk(Rational(5, 2), z)) == \ + besselsimp(besselk(Rational(-5, 2), z)) == \ + sqrt(2)*sqrt(pi)*(z**2 + 3*z + 3)*exp(-z)/(2*z**Rational(5, 2)) + + n = Symbol('n', integer=True, positive=True) + + assert expand_func(besseli(n + 2, z)) == \ + besseli(n, z) + (-2*n - 2)*(-2*n*besseli(n, z)/z + besseli(n - 1, z))/z + assert expand_func(besselj(n + 2, z)) == \ + -besselj(n, z) + (2*n + 2)*(2*n*besselj(n, z)/z - besselj(n - 1, z))/z + assert expand_func(besselk(n + 2, z)) == \ + besselk(n, z) + (2*n + 2)*(2*n*besselk(n, z)/z + besselk(n - 1, z))/z + assert expand_func(bessely(n + 2, z)) == \ + -bessely(n, z) + (2*n + 2)*(2*n*bessely(n, z)/z - bessely(n - 1, z))/z + + assert expand_func(besseli(n + S.Half, z).rewrite(jn)) == \ + (sqrt(2)*sqrt(z)*exp(-I*pi*(n + S.Half)/2) * + exp_polar(I*pi/4)*jn(n, z*exp_polar(I*pi/2))/sqrt(pi)) + assert expand_func(besselj(n + S.Half, z).rewrite(jn)) == \ + sqrt(2)*sqrt(z)*jn(n, z)/sqrt(pi) + + r = Symbol('r', real=True) + p = Symbol('p', positive=True) + i = Symbol('i', integer=True) + + for besselx in [besselj, bessely, besseli, besselk]: + assert besselx(i, p).is_extended_real is True + assert besselx(i, x).is_extended_real is None + assert besselx(x, z).is_extended_real is None + + for besselx in [besselj, besseli]: + assert besselx(i, r).is_extended_real is True + for besselx in [bessely, besselk]: + assert besselx(i, r).is_extended_real is None + + for besselx in [besselj, bessely, besseli, besselk]: + assert expand_func(besselx(oo, x)) == besselx(oo, x, evaluate=False) + assert expand_func(besselx(-oo, x)) == besselx(-oo, x, evaluate=False) + + +# Quite varying time, but often really slow +@slow +def test_slow_expand(): + def check(eq, ans): + return tn(eq, ans) and eq == ans + + rn = randcplx(a=1, b=0, d=0, c=2) + + for besselx in [besselj, bessely, besseli, besselk]: + ri = S(2*randint(-11, 10) + 1) / 2 # half integer in [-21/2, 21/2] + assert tn(besselsimp(besselx(ri, z)), besselx(ri, z)) + + assert check(expand_func(besseli(rn, x)), + besseli(rn - 2, x) - 2*(rn - 1)*besseli(rn - 1, x)/x) + assert check(expand_func(besseli(-rn, x)), + besseli(-rn + 2, x) + 2*(-rn + 1)*besseli(-rn + 1, x)/x) + + assert check(expand_func(besselj(rn, x)), + -besselj(rn - 2, x) + 2*(rn - 1)*besselj(rn - 1, x)/x) + assert check(expand_func(besselj(-rn, x)), + -besselj(-rn + 2, x) + 2*(-rn + 1)*besselj(-rn + 1, x)/x) + + assert check(expand_func(besselk(rn, x)), + besselk(rn - 2, x) + 2*(rn - 1)*besselk(rn - 1, x)/x) + assert check(expand_func(besselk(-rn, x)), + besselk(-rn + 2, x) - 2*(-rn + 1)*besselk(-rn + 1, x)/x) + + assert check(expand_func(bessely(rn, x)), + -bessely(rn - 2, x) + 2*(rn - 1)*bessely(rn - 1, x)/x) + assert check(expand_func(bessely(-rn, x)), + -bessely(-rn + 2, x) + 2*(-rn + 1)*bessely(-rn + 1, x)/x) + + +def mjn(n, z): + return expand_func(jn(n, z)) + + +def myn(n, z): + return expand_func(yn(n, z)) + + +def test_jn(): + z = symbols("z") + assert jn(0, 0) == 1 + assert jn(1, 0) == 0 + assert jn(-1, 0) == S.ComplexInfinity + assert jn(z, 0) == jn(z, 0, evaluate=False) + assert jn(0, oo) == 0 + assert jn(0, -oo) == 0 + + assert mjn(0, z) == sin(z)/z + assert mjn(1, z) == sin(z)/z**2 - cos(z)/z + assert mjn(2, z) == (3/z**3 - 1/z)*sin(z) - (3/z**2) * cos(z) + assert mjn(3, z) == (15/z**4 - 6/z**2)*sin(z) + (1/z - 15/z**3)*cos(z) + assert mjn(4, z) == (1/z + 105/z**5 - 45/z**3)*sin(z) + \ + (-105/z**4 + 10/z**2)*cos(z) + assert mjn(5, z) == (945/z**6 - 420/z**4 + 15/z**2)*sin(z) + \ + (-1/z - 945/z**5 + 105/z**3)*cos(z) + assert mjn(6, z) == (-1/z + 10395/z**7 - 4725/z**5 + 210/z**3)*sin(z) + \ + (-10395/z**6 + 1260/z**4 - 21/z**2)*cos(z) + + assert expand_func(jn(n, z)) == jn(n, z) + + # SBFs not defined for complex-valued orders + assert jn(2+3j, 5.2+0.3j).evalf() == jn(2+3j, 5.2+0.3j) + + assert eq([jn(2, 5.2+0.3j).evalf(10)], + [0.09941975672 - 0.05452508024*I]) + + +def test_yn(): + z = symbols("z") + assert myn(0, z) == -cos(z)/z + assert myn(1, z) == -cos(z)/z**2 - sin(z)/z + assert myn(2, z) == -((3/z**3 - 1/z)*cos(z) + (3/z**2)*sin(z)) + assert expand_func(yn(n, z)) == yn(n, z) + + # SBFs not defined for complex-valued orders + assert yn(2+3j, 5.2+0.3j).evalf() == yn(2+3j, 5.2+0.3j) + + assert eq([yn(2, 5.2+0.3j).evalf(10)], + [0.185250342 + 0.01489557397*I]) + + +def test_sympify_yn(): + assert S(15) in myn(3, pi).atoms() + assert myn(3, pi) == 15/pi**4 - 6/pi**2 + + +def eq(a, b, tol=1e-6): + for u, v in zip(a, b): + if not (abs(u - v) < tol): + return False + return True + + +def test_jn_zeros(): + assert eq(jn_zeros(0, 4), [3.141592, 6.283185, 9.424777, 12.566370]) + assert eq(jn_zeros(1, 4), [4.493409, 7.725251, 10.904121, 14.066193]) + assert eq(jn_zeros(2, 4), [5.763459, 9.095011, 12.322940, 15.514603]) + assert eq(jn_zeros(3, 4), [6.987932, 10.417118, 13.698023, 16.923621]) + assert eq(jn_zeros(4, 4), [8.182561, 11.704907, 15.039664, 18.301255]) + + +def test_bessel_eval(): + n, m, k = Symbol('n', integer=True), Symbol('m'), Symbol('k', integer=True, zero=False) + + for f in [besselj, besseli]: + assert f(0, 0) is S.One + assert f(2.1, 0) is S.Zero + assert f(-3, 0) is S.Zero + assert f(-10.2, 0) is S.ComplexInfinity + assert f(1 + 3*I, 0) is S.Zero + assert f(-3 + I, 0) is S.ComplexInfinity + assert f(-2*I, 0) is S.NaN + assert f(n, 0) != S.One and f(n, 0) != S.Zero + assert f(m, 0) != S.One and f(m, 0) != S.Zero + assert f(k, 0) is S.Zero + + assert bessely(0, 0) is S.NegativeInfinity + assert besselk(0, 0) is S.Infinity + for f in [bessely, besselk]: + assert f(1 + I, 0) is S.ComplexInfinity + assert f(I, 0) is S.NaN + + for f in [besselj, bessely]: + assert f(m, S.Infinity) is S.Zero + assert f(m, S.NegativeInfinity) is S.Zero + + for f in [besseli, besselk]: + assert f(m, I*S.Infinity) is S.Zero + assert f(m, I*S.NegativeInfinity) is S.Zero + + for f in [besseli, besselk]: + assert f(-4, z) == f(4, z) + assert f(-3, z) == f(3, z) + assert f(-n, z) == f(n, z) + assert f(-m, z) != f(m, z) + + for f in [besselj, bessely]: + assert f(-4, z) == f(4, z) + assert f(-3, z) == -f(3, z) + assert f(-n, z) == (-1)**n*f(n, z) + assert f(-m, z) != (-1)**m*f(m, z) + + for f in [besselj, besseli]: + assert f(m, -z) == (-z)**m*z**(-m)*f(m, z) + + assert besseli(2, -z) == besseli(2, z) + assert besseli(3, -z) == -besseli(3, z) + + assert besselj(0, -z) == besselj(0, z) + assert besselj(1, -z) == -besselj(1, z) + + assert besseli(0, I*z) == besselj(0, z) + assert besseli(1, I*z) == I*besselj(1, z) + assert besselj(3, I*z) == -I*besseli(3, z) + + +def test_bessel_nan(): + # FIXME: could have these return NaN; for now just fix infinite recursion + for f in [besselj, bessely, besseli, besselk, hankel1, hankel2, yn, jn]: + assert f(1, S.NaN) == f(1, S.NaN, evaluate=False) + + +def test_meromorphic(): + assert besselj(2, x).is_meromorphic(x, 1) == True + assert besselj(2, x).is_meromorphic(x, 0) == True + assert besselj(2, x).is_meromorphic(x, oo) == False + assert besselj(S(2)/3, x).is_meromorphic(x, 1) == True + assert besselj(S(2)/3, x).is_meromorphic(x, 0) == False + assert besselj(S(2)/3, x).is_meromorphic(x, oo) == False + assert besselj(x, 2*x).is_meromorphic(x, 2) == False + assert besselk(0, x).is_meromorphic(x, 1) == True + assert besselk(2, x).is_meromorphic(x, 0) == True + assert besseli(0, x).is_meromorphic(x, 1) == True + assert besseli(2, x).is_meromorphic(x, 0) == True + assert bessely(0, x).is_meromorphic(x, 1) == True + assert bessely(0, x).is_meromorphic(x, 0) == False + assert bessely(2, x).is_meromorphic(x, 0) == True + assert hankel1(3, x**2 + 2*x).is_meromorphic(x, 1) == True + assert hankel1(0, x).is_meromorphic(x, 0) == False + assert hankel2(11, 4).is_meromorphic(x, 5) == True + assert hn1(6, 7*x**3 + 4).is_meromorphic(x, 7) == True + assert hn2(3, 2*x).is_meromorphic(x, 9) == True + assert jn(5, 2*x + 7).is_meromorphic(x, 4) == True + assert yn(8, x**2 + 11).is_meromorphic(x, 6) == True + + +def test_conjugate(): + n = Symbol('n') + z = Symbol('z', extended_real=False) + x = Symbol('x', extended_real=True) + y = Symbol('y', positive=True) + t = Symbol('t', negative=True) + + for f in [besseli, besselj, besselk, bessely, hankel1, hankel2]: + assert f(n, -1).conjugate() != f(conjugate(n), -1) + assert f(n, x).conjugate() != f(conjugate(n), x) + assert f(n, t).conjugate() != f(conjugate(n), t) + + rz = randcplx(b=0.5) + + for f in [besseli, besselj, besselk, bessely]: + assert f(n, 1 + I).conjugate() == f(conjugate(n), 1 - I) + assert f(n, 0).conjugate() == f(conjugate(n), 0) + assert f(n, 1).conjugate() == f(conjugate(n), 1) + assert f(n, z).conjugate() == f(conjugate(n), conjugate(z)) + assert f(n, y).conjugate() == f(conjugate(n), y) + assert tn(f(n, rz).conjugate(), f(conjugate(n), conjugate(rz))) + + assert hankel1(n, 1 + I).conjugate() == hankel2(conjugate(n), 1 - I) + assert hankel1(n, 0).conjugate() == hankel2(conjugate(n), 0) + assert hankel1(n, 1).conjugate() == hankel2(conjugate(n), 1) + assert hankel1(n, y).conjugate() == hankel2(conjugate(n), y) + assert hankel1(n, z).conjugate() == hankel2(conjugate(n), conjugate(z)) + assert tn(hankel1(n, rz).conjugate(), hankel2(conjugate(n), conjugate(rz))) + + assert hankel2(n, 1 + I).conjugate() == hankel1(conjugate(n), 1 - I) + assert hankel2(n, 0).conjugate() == hankel1(conjugate(n), 0) + assert hankel2(n, 1).conjugate() == hankel1(conjugate(n), 1) + assert hankel2(n, y).conjugate() == hankel1(conjugate(n), y) + assert hankel2(n, z).conjugate() == hankel1(conjugate(n), conjugate(z)) + assert tn(hankel2(n, rz).conjugate(), hankel1(conjugate(n), conjugate(rz))) + + +def test_branching(): + assert besselj(polar_lift(k), x) == besselj(k, x) + assert besseli(polar_lift(k), x) == besseli(k, x) + + n = Symbol('n', integer=True) + assert besselj(n, exp_polar(2*pi*I)*x) == besselj(n, x) + assert besselj(n, polar_lift(x)) == besselj(n, x) + assert besseli(n, exp_polar(2*pi*I)*x) == besseli(n, x) + assert besseli(n, polar_lift(x)) == besseli(n, x) + + def tn(func, s): + from sympy.core.random import uniform + c = uniform(1, 5) + expr = func(s, c*exp_polar(I*pi)) - func(s, c*exp_polar(-I*pi)) + eps = 1e-15 + expr2 = func(s + eps, -c + eps*I) - func(s + eps, -c - eps*I) + return abs(expr.n() - expr2.n()).n() < 1e-10 + + nu = Symbol('nu') + assert besselj(nu, exp_polar(2*pi*I)*x) == exp(2*pi*I*nu)*besselj(nu, x) + assert besseli(nu, exp_polar(2*pi*I)*x) == exp(2*pi*I*nu)*besseli(nu, x) + assert tn(besselj, 2) + assert tn(besselj, pi) + assert tn(besselj, I) + assert tn(besseli, 2) + assert tn(besseli, pi) + assert tn(besseli, I) + + +def test_airy_base(): + z = Symbol('z') + x = Symbol('x', real=True) + y = Symbol('y', real=True) + + assert conjugate(airyai(z)) == airyai(conjugate(z)) + assert airyai(x).is_extended_real + + assert airyai(x+I*y).as_real_imag() == ( + airyai(x - I*y)/2 + airyai(x + I*y)/2, + I*(airyai(x - I*y) - airyai(x + I*y))/2) + + +def test_airyai(): + z = Symbol('z', real=False) + t = Symbol('t', negative=True) + p = Symbol('p', positive=True) + + assert isinstance(airyai(z), airyai) + + assert airyai(0) == 3**Rational(1, 3)/(3*gamma(Rational(2, 3))) + assert airyai(oo) == 0 + assert airyai(-oo) == 0 + + assert diff(airyai(z), z) == airyaiprime(z) + + assert series(airyai(z), z, 0, 3) == ( + 3**Rational(5, 6)*gamma(Rational(1, 3))/(6*pi) - 3**Rational(1, 6)*z*gamma(Rational(2, 3))/(2*pi) + O(z**3)) + + assert airyai(z).rewrite(hyper) == ( + -3**Rational(2, 3)*z*hyper((), (Rational(4, 3),), z**3/9)/(3*gamma(Rational(1, 3))) + + 3**Rational(1, 3)*hyper((), (Rational(2, 3),), z**3/9)/(3*gamma(Rational(2, 3)))) + + assert isinstance(airyai(z).rewrite(besselj), airyai) + assert airyai(t).rewrite(besselj) == ( + sqrt(-t)*(besselj(Rational(-1, 3), 2*(-t)**Rational(3, 2)/3) + + besselj(Rational(1, 3), 2*(-t)**Rational(3, 2)/3))/3) + assert airyai(z).rewrite(besseli) == ( + -z*besseli(Rational(1, 3), 2*z**Rational(3, 2)/3)/(3*(z**Rational(3, 2))**Rational(1, 3)) + + (z**Rational(3, 2))**Rational(1, 3)*besseli(Rational(-1, 3), 2*z**Rational(3, 2)/3)/3) + assert airyai(p).rewrite(besseli) == ( + sqrt(p)*(besseli(Rational(-1, 3), 2*p**Rational(3, 2)/3) - + besseli(Rational(1, 3), 2*p**Rational(3, 2)/3))/3) + + assert expand_func(airyai(2*(3*z**5)**Rational(1, 3))) == ( + -sqrt(3)*(-1 + (z**5)**Rational(1, 3)/z**Rational(5, 3))*airybi(2*3**Rational(1, 3)*z**Rational(5, 3))/6 + + (1 + (z**5)**Rational(1, 3)/z**Rational(5, 3))*airyai(2*3**Rational(1, 3)*z**Rational(5, 3))/2) + + +def test_airybi(): + z = Symbol('z', real=False) + t = Symbol('t', negative=True) + p = Symbol('p', positive=True) + + assert isinstance(airybi(z), airybi) + + assert airybi(0) == 3**Rational(5, 6)/(3*gamma(Rational(2, 3))) + assert airybi(oo) is oo + assert airybi(-oo) == 0 + + assert diff(airybi(z), z) == airybiprime(z) + + assert series(airybi(z), z, 0, 3) == ( + 3**Rational(1, 3)*gamma(Rational(1, 3))/(2*pi) + 3**Rational(2, 3)*z*gamma(Rational(2, 3))/(2*pi) + O(z**3)) + + assert airybi(z).rewrite(hyper) == ( + 3**Rational(1, 6)*z*hyper((), (Rational(4, 3),), z**3/9)/gamma(Rational(1, 3)) + + 3**Rational(5, 6)*hyper((), (Rational(2, 3),), z**3/9)/(3*gamma(Rational(2, 3)))) + + assert isinstance(airybi(z).rewrite(besselj), airybi) + assert airyai(t).rewrite(besselj) == ( + sqrt(-t)*(besselj(Rational(-1, 3), 2*(-t)**Rational(3, 2)/3) + + besselj(Rational(1, 3), 2*(-t)**Rational(3, 2)/3))/3) + assert airybi(z).rewrite(besseli) == ( + sqrt(3)*(z*besseli(Rational(1, 3), 2*z**Rational(3, 2)/3)/(z**Rational(3, 2))**Rational(1, 3) + + (z**Rational(3, 2))**Rational(1, 3)*besseli(Rational(-1, 3), 2*z**Rational(3, 2)/3))/3) + assert airybi(p).rewrite(besseli) == ( + sqrt(3)*sqrt(p)*(besseli(Rational(-1, 3), 2*p**Rational(3, 2)/3) + + besseli(Rational(1, 3), 2*p**Rational(3, 2)/3))/3) + + assert expand_func(airybi(2*(3*z**5)**Rational(1, 3))) == ( + sqrt(3)*(1 - (z**5)**Rational(1, 3)/z**Rational(5, 3))*airyai(2*3**Rational(1, 3)*z**Rational(5, 3))/2 + + (1 + (z**5)**Rational(1, 3)/z**Rational(5, 3))*airybi(2*3**Rational(1, 3)*z**Rational(5, 3))/2) + + +def test_airyaiprime(): + z = Symbol('z', real=False) + t = Symbol('t', negative=True) + p = Symbol('p', positive=True) + + assert isinstance(airyaiprime(z), airyaiprime) + + assert airyaiprime(0) == -3**Rational(2, 3)/(3*gamma(Rational(1, 3))) + assert airyaiprime(oo) == 0 + + assert diff(airyaiprime(z), z) == z*airyai(z) + + assert series(airyaiprime(z), z, 0, 3) == ( + -3**Rational(2, 3)/(3*gamma(Rational(1, 3))) + 3**Rational(1, 3)*z**2/(6*gamma(Rational(2, 3))) + O(z**3)) + + assert airyaiprime(z).rewrite(hyper) == ( + 3**Rational(1, 3)*z**2*hyper((), (Rational(5, 3),), z**3/9)/(6*gamma(Rational(2, 3))) - + 3**Rational(2, 3)*hyper((), (Rational(1, 3),), z**3/9)/(3*gamma(Rational(1, 3)))) + + assert isinstance(airyaiprime(z).rewrite(besselj), airyaiprime) + assert airyai(t).rewrite(besselj) == ( + sqrt(-t)*(besselj(Rational(-1, 3), 2*(-t)**Rational(3, 2)/3) + + besselj(Rational(1, 3), 2*(-t)**Rational(3, 2)/3))/3) + assert airyaiprime(z).rewrite(besseli) == ( + z**2*besseli(Rational(2, 3), 2*z**Rational(3, 2)/3)/(3*(z**Rational(3, 2))**Rational(2, 3)) - + (z**Rational(3, 2))**Rational(2, 3)*besseli(Rational(-1, 3), 2*z**Rational(3, 2)/3)/3) + assert airyaiprime(p).rewrite(besseli) == ( + p*(-besseli(Rational(-2, 3), 2*p**Rational(3, 2)/3) + besseli(Rational(2, 3), 2*p**Rational(3, 2)/3))/3) + + assert expand_func(airyaiprime(2*(3*z**5)**Rational(1, 3))) == ( + sqrt(3)*(z**Rational(5, 3)/(z**5)**Rational(1, 3) - 1)*airybiprime(2*3**Rational(1, 3)*z**Rational(5, 3))/6 + + (z**Rational(5, 3)/(z**5)**Rational(1, 3) + 1)*airyaiprime(2*3**Rational(1, 3)*z**Rational(5, 3))/2) + + +def test_airybiprime(): + z = Symbol('z', real=False) + t = Symbol('t', negative=True) + p = Symbol('p', positive=True) + + assert isinstance(airybiprime(z), airybiprime) + + assert airybiprime(0) == 3**Rational(1, 6)/gamma(Rational(1, 3)) + assert airybiprime(oo) is oo + assert airybiprime(-oo) == 0 + + assert diff(airybiprime(z), z) == z*airybi(z) + + assert series(airybiprime(z), z, 0, 3) == ( + 3**Rational(1, 6)/gamma(Rational(1, 3)) + 3**Rational(5, 6)*z**2/(6*gamma(Rational(2, 3))) + O(z**3)) + + assert airybiprime(z).rewrite(hyper) == ( + 3**Rational(5, 6)*z**2*hyper((), (Rational(5, 3),), z**3/9)/(6*gamma(Rational(2, 3))) + + 3**Rational(1, 6)*hyper((), (Rational(1, 3),), z**3/9)/gamma(Rational(1, 3))) + + assert isinstance(airybiprime(z).rewrite(besselj), airybiprime) + assert airyai(t).rewrite(besselj) == ( + sqrt(-t)*(besselj(Rational(-1, 3), 2*(-t)**Rational(3, 2)/3) + + besselj(Rational(1, 3), 2*(-t)**Rational(3, 2)/3))/3) + assert airybiprime(z).rewrite(besseli) == ( + sqrt(3)*(z**2*besseli(Rational(2, 3), 2*z**Rational(3, 2)/3)/(z**Rational(3, 2))**Rational(2, 3) + + (z**Rational(3, 2))**Rational(2, 3)*besseli(Rational(-2, 3), 2*z**Rational(3, 2)/3))/3) + assert airybiprime(p).rewrite(besseli) == ( + sqrt(3)*p*(besseli(Rational(-2, 3), 2*p**Rational(3, 2)/3) + besseli(Rational(2, 3), 2*p**Rational(3, 2)/3))/3) + + assert expand_func(airybiprime(2*(3*z**5)**Rational(1, 3))) == ( + sqrt(3)*(z**Rational(5, 3)/(z**5)**Rational(1, 3) - 1)*airyaiprime(2*3**Rational(1, 3)*z**Rational(5, 3))/2 + + (z**Rational(5, 3)/(z**5)**Rational(1, 3) + 1)*airybiprime(2*3**Rational(1, 3)*z**Rational(5, 3))/2) + + +def test_marcumq(): + m = Symbol('m') + a = Symbol('a') + b = Symbol('b') + + assert marcumq(0, 0, 0) == 0 + assert marcumq(m, 0, b) == uppergamma(m, b**2/2)/gamma(m) + assert marcumq(2, 0, 5) == 27*exp(Rational(-25, 2))/2 + assert marcumq(0, a, 0) == 1 - exp(-a**2/2) + assert marcumq(0, pi, 0) == 1 - exp(-pi**2/2) + assert marcumq(1, a, a) == S.Half + exp(-a**2)*besseli(0, a**2)/2 + assert marcumq(2, a, a) == S.Half + exp(-a**2)*besseli(0, a**2)/2 + exp(-a**2)*besseli(1, a**2) + + assert diff(marcumq(1, a, 3), a) == a*(-marcumq(1, a, 3) + marcumq(2, a, 3)) + assert diff(marcumq(2, 3, b), b) == -b**2*exp(-b**2/2 - Rational(9, 2))*besseli(1, 3*b)/3 + + x = Symbol('x') + assert marcumq(2, 3, 4).rewrite(Integral, x=x) == \ + Integral(x**2*exp(-x**2/2 - Rational(9, 2))*besseli(1, 3*x), (x, 4, oo))/3 + assert eq([marcumq(5, -2, 3).rewrite(Integral).evalf(10)], + [0.7905769565]) + + k = Symbol('k') + assert marcumq(-3, -5, -7).rewrite(Sum, k=k) == \ + exp(-37)*Sum((Rational(5, 7))**k*besseli(k, 35), (k, 4, oo)) + assert eq([marcumq(1, 3, 1).rewrite(Sum).evalf(10)], + [0.9891705502]) + + assert marcumq(1, a, a, evaluate=False).rewrite(besseli) == S.Half + exp(-a**2)*besseli(0, a**2)/2 + assert marcumq(2, a, a, evaluate=False).rewrite(besseli) == S.Half + exp(-a**2)*besseli(0, a**2)/2 + \ + exp(-a**2)*besseli(1, a**2) + assert marcumq(3, a, a).rewrite(besseli) == (besseli(1, a**2) + besseli(2, a**2))*exp(-a**2) + \ + S.Half + exp(-a**2)*besseli(0, a**2)/2 + assert marcumq(5, 8, 8).rewrite(besseli) == exp(-64)*besseli(0, 64)/2 + \ + (besseli(4, 64) + besseli(3, 64) + besseli(2, 64) + besseli(1, 64))*exp(-64) + S.Half + assert marcumq(m, a, a).rewrite(besseli) == marcumq(m, a, a) + + x = Symbol('x', integer=True) + assert marcumq(x, a, a).rewrite(besseli) == marcumq(x, a, a) + + +def test_issue_26134(): + x = Symbol('x') + assert marcumq(2, 3, 4).rewrite(Integral, x=x).dummy_eq( + Integral(x**2*exp(-x**2/2 - Rational(9, 2))*besseli(1, 3*x), (x, 4, oo))/3) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/tests/test_beta_functions.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/tests/test_beta_functions.py new file mode 100644 index 0000000000000000000000000000000000000000..b34cb2febf9e2746d869cd878525d2794535aea5 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/tests/test_beta_functions.py @@ -0,0 +1,89 @@ +from sympy.core.function import (diff, expand_func) +from sympy.core.numbers import I, Rational, pi +from sympy.core.singleton import S +from sympy.core.symbol import (Dummy, symbols) +from sympy.functions.combinatorial.numbers import catalan +from sympy.functions.elementary.complexes import conjugate +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.special.beta_functions import (beta, betainc, betainc_regularized) +from sympy.functions.special.gamma_functions import gamma, polygamma +from sympy.functions.special.hyper import hyper +from sympy.integrals.integrals import Integral +from sympy.core.function import ArgumentIndexError +from sympy.core.expr import unchanged +from sympy.testing.pytest import raises + + +def test_beta(): + x, y = symbols('x y') + t = Dummy('t') + + assert unchanged(beta, x, y) + assert unchanged(beta, x, x) + + assert beta(5, -3).is_real == True + assert beta(3, y).is_real is None + + assert expand_func(beta(x, y)) == gamma(x)*gamma(y)/gamma(x + y) + assert expand_func(beta(x, y) - beta(y, x)) == 0 # Symmetric + assert expand_func(beta(x, y)) == expand_func(beta(x, y + 1) + beta(x + 1, y)).simplify() + + assert diff(beta(x, y), x) == beta(x, y)*(polygamma(0, x) - polygamma(0, x + y)) + assert diff(beta(x, y), y) == beta(x, y)*(polygamma(0, y) - polygamma(0, x + y)) + + assert conjugate(beta(x, y)) == beta(conjugate(x), conjugate(y)) + + raises(ArgumentIndexError, lambda: beta(x, y).fdiff(3)) + + assert beta(x, y).rewrite(gamma) == gamma(x)*gamma(y)/gamma(x + y) + assert beta(x).rewrite(gamma) == gamma(x)**2/gamma(2*x) + assert beta(x, y).rewrite(Integral).dummy_eq(Integral(t**(x - 1) * (1 - t)**(y - 1), (t, 0, 1))) + assert beta(Rational(-19, 10), Rational(-1, 10)) == S.Zero + assert beta(Rational(-19, 10), Rational(-9, 10)) == \ + 800*2**(S(4)/5)*sqrt(pi)*gamma(S.One/10)/(171*gamma(-S(7)/5)) + assert beta(Rational(19, 10), Rational(29, 10)) == 100/(551*catalan(Rational(19, 10))) + assert beta(1, 0) == S.ComplexInfinity + assert beta(0, 1) == S.ComplexInfinity + assert beta(2, 3) == S.One/12 + assert unchanged(beta, x, x + 1) + assert unchanged(beta, x, 1) + assert unchanged(beta, 1, y) + assert beta(x, x + 1).doit() == 1/(x*(x+1)*catalan(x)) + assert beta(1, y).doit() == 1/y + assert beta(x, 1).doit() == 1/x + assert beta(Rational(-19, 10), Rational(-1, 10), evaluate=False).doit() == S.Zero + assert beta(2) == beta(2, 2) + assert beta(x, evaluate=False) != beta(x, x) + assert beta(x, evaluate=False).doit() == beta(x, x) + + +def test_betainc(): + a, b, x1, x2 = symbols('a b x1 x2') + + assert unchanged(betainc, a, b, x1, x2) + assert unchanged(betainc, a, b, 0, x1) + + assert betainc(1, 2, 0, -5).is_real == True + assert betainc(1, 2, 0, x2).is_real is None + assert conjugate(betainc(I, 2, 3 - I, 1 + 4*I)) == betainc(-I, 2, 3 + I, 1 - 4*I) + + assert betainc(a, b, 0, 1).rewrite(Integral).dummy_eq(beta(a, b).rewrite(Integral)) + assert betainc(1, 2, 0, x2).rewrite(hyper) == x2*hyper((1, -1), (2,), x2) + + assert betainc(1, 2, 3, 3).evalf() == 0 + + +def test_betainc_regularized(): + a, b, x1, x2 = symbols('a b x1 x2') + + assert unchanged(betainc_regularized, a, b, x1, x2) + assert unchanged(betainc_regularized, a, b, 0, x1) + + assert betainc_regularized(3, 5, 0, -1).is_real == True + assert betainc_regularized(3, 5, 0, x2).is_real is None + assert conjugate(betainc_regularized(3*I, 1, 2 + I, 1 + 2*I)) == betainc_regularized(-3*I, 1, 2 - I, 1 - 2*I) + + assert betainc_regularized(a, b, 0, 1).rewrite(Integral) == 1 + assert betainc_regularized(1, 2, x1, x2).rewrite(hyper) == 2*x2*hyper((1, -1), (2,), x2) - 2*x1*hyper((1, -1), (2,), x1) + + assert betainc_regularized(4, 1, 5, 5).evalf() == 0 diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/tests/test_bsplines.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/tests/test_bsplines.py new file mode 100644 index 0000000000000000000000000000000000000000..136831b96ba16c95edba12ecd47b6f1566b68427 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/tests/test_bsplines.py @@ -0,0 +1,167 @@ +from sympy.functions import bspline_basis_set, interpolating_spline +from sympy.core.numbers import Rational +from sympy.core.singleton import S +from sympy.core.symbol import symbols +from sympy.functions.elementary.piecewise import Piecewise +from sympy.logic.boolalg import And +from sympy.sets.sets import Interval +from sympy.testing.pytest import slow + +x, y = symbols('x,y') + + +def test_basic_degree_0(): + d = 0 + knots = range(5) + splines = bspline_basis_set(d, knots, x) + for i in range(len(splines)): + assert splines[i] == Piecewise((1, Interval(i, i + 1).contains(x)), + (0, True)) + + +def test_basic_degree_1(): + d = 1 + knots = range(5) + splines = bspline_basis_set(d, knots, x) + assert splines[0] == Piecewise((x, Interval(0, 1).contains(x)), + (2 - x, Interval(1, 2).contains(x)), + (0, True)) + assert splines[1] == Piecewise((-1 + x, Interval(1, 2).contains(x)), + (3 - x, Interval(2, 3).contains(x)), + (0, True)) + assert splines[2] == Piecewise((-2 + x, Interval(2, 3).contains(x)), + (4 - x, Interval(3, 4).contains(x)), + (0, True)) + + +def test_basic_degree_2(): + d = 2 + knots = range(5) + splines = bspline_basis_set(d, knots, x) + b0 = Piecewise((x**2/2, Interval(0, 1).contains(x)), + (Rational(-3, 2) + 3*x - x**2, Interval(1, 2).contains(x)), + (Rational(9, 2) - 3*x + x**2/2, Interval(2, 3).contains(x)), + (0, True)) + b1 = Piecewise((S.Half - x + x**2/2, Interval(1, 2).contains(x)), + (Rational(-11, 2) + 5*x - x**2, Interval(2, 3).contains(x)), + (8 - 4*x + x**2/2, Interval(3, 4).contains(x)), + (0, True)) + assert splines[0] == b0 + assert splines[1] == b1 + + +def test_basic_degree_3(): + d = 3 + knots = range(5) + splines = bspline_basis_set(d, knots, x) + b0 = Piecewise( + (x**3/6, Interval(0, 1).contains(x)), + (Rational(2, 3) - 2*x + 2*x**2 - x**3/2, Interval(1, 2).contains(x)), + (Rational(-22, 3) + 10*x - 4*x**2 + x**3/2, Interval(2, 3).contains(x)), + (Rational(32, 3) - 8*x + 2*x**2 - x**3/6, Interval(3, 4).contains(x)), + (0, True) + ) + assert splines[0] == b0 + + +def test_repeated_degree_1(): + d = 1 + knots = [0, 0, 1, 2, 2, 3, 4, 4] + splines = bspline_basis_set(d, knots, x) + assert splines[0] == Piecewise((1 - x, Interval(0, 1).contains(x)), + (0, True)) + assert splines[1] == Piecewise((x, Interval(0, 1).contains(x)), + (2 - x, Interval(1, 2).contains(x)), + (0, True)) + assert splines[2] == Piecewise((-1 + x, Interval(1, 2).contains(x)), + (0, True)) + assert splines[3] == Piecewise((3 - x, Interval(2, 3).contains(x)), + (0, True)) + assert splines[4] == Piecewise((-2 + x, Interval(2, 3).contains(x)), + (4 - x, Interval(3, 4).contains(x)), + (0, True)) + assert splines[5] == Piecewise((-3 + x, Interval(3, 4).contains(x)), + (0, True)) + + +def test_repeated_degree_2(): + d = 2 + knots = [0, 0, 1, 2, 2, 3, 4, 4] + splines = bspline_basis_set(d, knots, x) + + assert splines[0] == Piecewise(((-3*x**2/2 + 2*x), And(x <= 1, x >= 0)), + (x**2/2 - 2*x + 2, And(x <= 2, x >= 1)), + (0, True)) + assert splines[1] == Piecewise((x**2/2, And(x <= 1, x >= 0)), + (-3*x**2/2 + 4*x - 2, And(x <= 2, x >= 1)), + (0, True)) + assert splines[2] == Piecewise((x**2 - 2*x + 1, And(x <= 2, x >= 1)), + (x**2 - 6*x + 9, And(x <= 3, x >= 2)), + (0, True)) + assert splines[3] == Piecewise((-3*x**2/2 + 8*x - 10, And(x <= 3, x >= 2)), + (x**2/2 - 4*x + 8, And(x <= 4, x >= 3)), + (0, True)) + assert splines[4] == Piecewise((x**2/2 - 2*x + 2, And(x <= 3, x >= 2)), + (-3*x**2/2 + 10*x - 16, And(x <= 4, x >= 3)), + (0, True)) + +# Tests for interpolating_spline + + +def test_10_points_degree_1(): + d = 1 + X = [-5, 2, 3, 4, 7, 9, 10, 30, 31, 34] + Y = [-10, -2, 2, 4, 7, 6, 20, 45, 19, 25] + spline = interpolating_spline(d, x, X, Y) + + assert spline == Piecewise((x*Rational(8, 7) - Rational(30, 7), (x >= -5) & (x <= 2)), (4*x - 10, (x >= 2) & (x <= 3)), + (2*x - 4, (x >= 3) & (x <= 4)), (x, (x >= 4) & (x <= 7)), + (-x/2 + Rational(21, 2), (x >= 7) & (x <= 9)), (14*x - 120, (x >= 9) & (x <= 10)), + (x*Rational(5, 4) + Rational(15, 2), (x >= 10) & (x <= 30)), (-26*x + 825, (x >= 30) & (x <= 31)), + (2*x - 43, (x >= 31) & (x <= 34))) + + +def test_3_points_degree_2(): + d = 2 + X = [-3, 10, 19] + Y = [3, -4, 30] + spline = interpolating_spline(d, x, X, Y) + + assert spline == Piecewise((505*x**2/2574 - x*Rational(4921, 2574) - Rational(1931, 429), (x >= -3) & (x <= 19))) + + +def test_5_points_degree_2(): + d = 2 + X = [-3, 2, 4, 5, 10] + Y = [-1, 2, 5, 10, 14] + spline = interpolating_spline(d, x, X, Y) + + assert spline == Piecewise((4*x**2/329 + x*Rational(1007, 1645) + Rational(1196, 1645), (x >= -3) & (x <= 3)), + (2701*x**2/1645 - x*Rational(15079, 1645) + Rational(5065, 329), (x >= 3) & (x <= Rational(9, 2))), + (-1319*x**2/1645 + x*Rational(21101, 1645) - Rational(11216, 329), (x >= Rational(9, 2)) & (x <= 10))) + + +@slow +def test_6_points_degree_3(): + d = 3 + X = [-1, 0, 2, 3, 9, 12] + Y = [-4, 3, 3, 7, 9, 20] + spline = interpolating_spline(d, x, X, Y) + + assert spline == Piecewise((6058*x**3/5301 - 18427*x**2/5301 + x*Rational(12622, 5301) + 3, (x >= -1) & (x <= 2)), + (-8327*x**3/5301 + 67883*x**2/5301 - x*Rational(159998, 5301) + Rational(43661, 1767), (x >= 2) & (x <= 3)), + (5414*x**3/47709 - 1386*x**2/589 + x*Rational(4267, 279) - Rational(12232, 589), (x >= 3) & (x <= 12))) + + +def test_issue_19262(): + Delta = symbols('Delta', positive=True) + knots = [i*Delta for i in range(4)] + basis = bspline_basis_set(1, knots, x) + y = symbols('y', nonnegative=True) + basis2 = bspline_basis_set(1, knots, y) + assert basis[0].subs(x, y) == basis2[0] + assert interpolating_spline(1, x, + [Delta*i for i in [1, 2, 4, 7]], [3, 6, 5, 7] + ) == Piecewise((3*x/Delta, (Delta <= x) & (x <= 2*Delta)), + (7 - x/(2*Delta), (x >= 2*Delta) & (x <= 4*Delta)), + (Rational(7, 3) + 2*x/(3*Delta), (x >= 4*Delta) & (x <= 7*Delta))) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/tests/test_delta_functions.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/tests/test_delta_functions.py new file mode 100644 index 0000000000000000000000000000000000000000..d5a39d9e352143cf878cf69fa42f454f58be65c9 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/tests/test_delta_functions.py @@ -0,0 +1,165 @@ +from sympy.core.numbers import (I, nan, oo, pi) +from sympy.core.relational import (Eq, Ne) +from sympy.core.singleton import S +from sympy.core.symbol import (Symbol, symbols) +from sympy.functions.elementary.complexes import (adjoint, conjugate, sign, transpose) +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.piecewise import Piecewise +from sympy.functions.special.delta_functions import (DiracDelta, Heaviside) +from sympy.functions.special.singularity_functions import SingularityFunction +from sympy.simplify.simplify import signsimp + + +from sympy.testing.pytest import raises + +from sympy.core.expr import unchanged + +from sympy.core.function import ArgumentIndexError + + +x, y = symbols('x y') +i = symbols('t', nonzero=True) +j = symbols('j', positive=True) +k = symbols('k', negative=True) + +def test_DiracDelta(): + assert DiracDelta(1) == 0 + assert DiracDelta(5.1) == 0 + assert DiracDelta(-pi) == 0 + assert DiracDelta(5, 7) == 0 + assert DiracDelta(x, 0) == DiracDelta(x) + assert DiracDelta(i) == 0 + assert DiracDelta(j) == 0 + assert DiracDelta(k) == 0 + assert DiracDelta(nan) is nan + assert DiracDelta(0).func is DiracDelta + assert DiracDelta(x).func is DiracDelta + # FIXME: this is generally undefined @ x=0 + # But then limit(Delta(c)*Heaviside(x),x,-oo) + # need's to be implemented. + # assert 0*DiracDelta(x) == 0 + + assert adjoint(DiracDelta(x)) == DiracDelta(x) + assert adjoint(DiracDelta(x - y)) == DiracDelta(x - y) + assert conjugate(DiracDelta(x)) == DiracDelta(x) + assert conjugate(DiracDelta(x - y)) == DiracDelta(x - y) + assert transpose(DiracDelta(x)) == DiracDelta(x) + assert transpose(DiracDelta(x - y)) == DiracDelta(x - y) + + assert DiracDelta(x).diff(x) == DiracDelta(x, 1) + assert DiracDelta(x, 1).diff(x) == DiracDelta(x, 2) + + assert DiracDelta(x).is_simple(x) is True + assert DiracDelta(3*x).is_simple(x) is True + assert DiracDelta(x**2).is_simple(x) is False + assert DiracDelta(sqrt(x)).is_simple(x) is False + assert DiracDelta(x).is_simple(y) is False + + assert DiracDelta(x*y).expand(diracdelta=True, wrt=x) == DiracDelta(x)/abs(y) + assert DiracDelta(x*y).expand(diracdelta=True, wrt=y) == DiracDelta(y)/abs(x) + assert DiracDelta(x**2*y).expand(diracdelta=True, wrt=x) == DiracDelta(x**2*y) + assert DiracDelta(y).expand(diracdelta=True, wrt=x) == DiracDelta(y) + assert DiracDelta((x - 1)*(x - 2)*(x - 3)).expand(diracdelta=True, wrt=x) == ( + DiracDelta(x - 3)/2 + DiracDelta(x - 2) + DiracDelta(x - 1)/2) + + assert DiracDelta(2*x) != DiracDelta(x) # scaling property + assert DiracDelta(x) == DiracDelta(-x) # even function + assert DiracDelta(-x, 2) == DiracDelta(x, 2) + assert DiracDelta(-x, 1) == -DiracDelta(x, 1) # odd deriv is odd + assert DiracDelta(-oo*x) == DiracDelta(oo*x) + assert DiracDelta(x - y) != DiracDelta(y - x) + assert signsimp(DiracDelta(x - y) - DiracDelta(y - x)) == 0 + + assert DiracDelta(x*y).expand(diracdelta=True, wrt=x) == DiracDelta(x)/abs(y) + assert DiracDelta(x*y).expand(diracdelta=True, wrt=y) == DiracDelta(y)/abs(x) + assert DiracDelta(x**2*y).expand(diracdelta=True, wrt=x) == DiracDelta(x**2*y) + assert DiracDelta(y).expand(diracdelta=True, wrt=x) == DiracDelta(y) + assert DiracDelta((x - 1)*(x - 2)*(x - 3)).expand(diracdelta=True) == ( + DiracDelta(x - 3)/2 + DiracDelta(x - 2) + DiracDelta(x - 1)/2) + + raises(ArgumentIndexError, lambda: DiracDelta(x).fdiff(2)) + raises(ValueError, lambda: DiracDelta(x, -1)) + raises(ValueError, lambda: DiracDelta(I)) + raises(ValueError, lambda: DiracDelta(2 + 3*I)) + + +def test_heaviside(): + assert Heaviside(-5) == 0 + assert Heaviside(1) == 1 + assert Heaviside(0) == S.Half + + assert Heaviside(0, x) == x + assert unchanged(Heaviside,x, nan) + assert Heaviside(0, nan) == nan + + h0 = Heaviside(x, 0) + h12 = Heaviside(x, S.Half) + h1 = Heaviside(x, 1) + + assert h0.args == h0.pargs == (x, 0) + assert h1.args == h1.pargs == (x, 1) + assert h12.args == (x, S.Half) + assert h12.pargs == (x,) # default 1/2 suppressed + + assert adjoint(Heaviside(x)) == Heaviside(x) + assert adjoint(Heaviside(x - y)) == Heaviside(x - y) + assert conjugate(Heaviside(x)) == Heaviside(x) + assert conjugate(Heaviside(x - y)) == Heaviside(x - y) + assert transpose(Heaviside(x)) == Heaviside(x) + assert transpose(Heaviside(x - y)) == Heaviside(x - y) + + assert Heaviside(x).diff(x) == DiracDelta(x) + assert Heaviside(x + I).is_Function is True + assert Heaviside(I*x).is_Function is True + + raises(ArgumentIndexError, lambda: Heaviside(x).fdiff(2)) + raises(ValueError, lambda: Heaviside(I)) + raises(ValueError, lambda: Heaviside(2 + 3*I)) + + +def test_rewrite(): + x, y = Symbol('x', real=True), Symbol('y') + assert Heaviside(x).rewrite(Piecewise) == ( + Piecewise((0, x < 0), (Heaviside(0), Eq(x, 0)), (1, True))) + assert Heaviside(y).rewrite(Piecewise) == ( + Piecewise((0, y < 0), (Heaviside(0), Eq(y, 0)), (1, True))) + assert Heaviside(x, y).rewrite(Piecewise) == ( + Piecewise((0, x < 0), (y, Eq(x, 0)), (1, True))) + assert Heaviside(x, 0).rewrite(Piecewise) == ( + Piecewise((0, x <= 0), (1, True))) + assert Heaviside(x, 1).rewrite(Piecewise) == ( + Piecewise((0, x < 0), (1, True))) + assert Heaviside(x, nan).rewrite(Piecewise) == ( + Piecewise((0, x < 0), (nan, Eq(x, 0)), (1, True))) + + assert Heaviside(x).rewrite(sign) == \ + Heaviside(x, H0=Heaviside(0)).rewrite(sign) == \ + Piecewise( + (sign(x)/2 + S(1)/2, Eq(Heaviside(0), S(1)/2)), + (Piecewise( + (sign(x)/2 + S(1)/2, Ne(x, 0)), (Heaviside(0), True)), True) + ) + + assert Heaviside(y).rewrite(sign) == Heaviside(y) + assert Heaviside(x, S.Half).rewrite(sign) == (sign(x)+1)/2 + assert Heaviside(x, y).rewrite(sign) == \ + Piecewise( + (sign(x)/2 + S(1)/2, Eq(y, S(1)/2)), + (Piecewise( + (sign(x)/2 + S(1)/2, Ne(x, 0)), (y, True)), True) + ) + + assert DiracDelta(y).rewrite(Piecewise) == Piecewise((DiracDelta(0), Eq(y, 0)), (0, True)) + assert DiracDelta(y, 1).rewrite(Piecewise) == DiracDelta(y, 1) + assert DiracDelta(x - 5).rewrite(Piecewise) == ( + Piecewise((DiracDelta(0), Eq(x - 5, 0)), (0, True))) + + assert (x*DiracDelta(x - 10)).rewrite(SingularityFunction) == x*SingularityFunction(x, 10, -1) + assert 5*x*y*DiracDelta(y, 1).rewrite(SingularityFunction) == 5*x*y*SingularityFunction(y, 0, -2) + assert DiracDelta(0).rewrite(SingularityFunction) == SingularityFunction(0, 0, -1) + assert DiracDelta(0, 1).rewrite(SingularityFunction) == SingularityFunction(0, 0, -2) + + assert Heaviside(x).rewrite(SingularityFunction) == SingularityFunction(x, 0, 0) + assert 5*x*y*Heaviside(y + 1).rewrite(SingularityFunction) == 5*x*y*SingularityFunction(y, -1, 0) + assert ((x - 3)**3*Heaviside(x - 3)).rewrite(SingularityFunction) == (x - 3)**3*SingularityFunction(x, 3, 0) + assert Heaviside(0).rewrite(SingularityFunction) == S.Half diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/tests/test_elliptic_integrals.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/tests/test_elliptic_integrals.py new file mode 100644 index 0000000000000000000000000000000000000000..a11e531af32301a00b6fc864064d02f9318929e1 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/tests/test_elliptic_integrals.py @@ -0,0 +1,181 @@ +from sympy.core.numbers import (I, Rational, oo, pi, zoo) +from sympy.core.singleton import S +from sympy.core.symbol import (Dummy, Symbol) +from sympy.functions.elementary.hyperbolic import atanh +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.trigonometric import (sin, tan) +from sympy.functions.special.gamma_functions import gamma +from sympy.functions.special.hyper import (hyper, meijerg) +from sympy.integrals.integrals import Integral +from sympy.series.order import O +from sympy.functions.special.elliptic_integrals import (elliptic_k as K, + elliptic_f as F, elliptic_e as E, elliptic_pi as P) +from sympy.core.random import (test_derivative_numerically as td, + random_complex_number as randcplx, + verify_numerically as tn) +from sympy.abc import z, m, n + +i = Symbol('i', integer=True) +j = Symbol('k', integer=True, positive=True) +t = Dummy('t') + +def test_K(): + assert K(0) == pi/2 + assert K(S.Half) == 8*pi**Rational(3, 2)/gamma(Rational(-1, 4))**2 + assert K(1) is zoo + assert K(-1) == gamma(Rational(1, 4))**2/(4*sqrt(2*pi)) + assert K(oo) == 0 + assert K(-oo) == 0 + assert K(I*oo) == 0 + assert K(-I*oo) == 0 + assert K(zoo) == 0 + + assert K(z).diff(z) == (E(z) - (1 - z)*K(z))/(2*z*(1 - z)) + assert td(K(z), z) + + zi = Symbol('z', real=False) + assert K(zi).conjugate() == K(zi.conjugate()) + zr = Symbol('z', negative=True) + assert K(zr).conjugate() == K(zr) + + assert K(z).rewrite(hyper) == \ + (pi/2)*hyper((S.Half, S.Half), (S.One,), z) + assert tn(K(z), (pi/2)*hyper((S.Half, S.Half), (S.One,), z)) + assert K(z).rewrite(meijerg) == \ + meijerg(((S.Half, S.Half), []), ((S.Zero,), (S.Zero,)), -z)/2 + assert tn(K(z), meijerg(((S.Half, S.Half), []), ((S.Zero,), (S.Zero,)), -z)/2) + + assert K(z).series(z) == pi/2 + pi*z/8 + 9*pi*z**2/128 + \ + 25*pi*z**3/512 + 1225*pi*z**4/32768 + 3969*pi*z**5/131072 + O(z**6) + + assert K(m).rewrite(Integral).dummy_eq( + Integral(1/sqrt(1 - m*sin(t)**2), (t, 0, pi/2))) + +def test_F(): + assert F(z, 0) == z + assert F(0, m) == 0 + assert F(pi*i/2, m) == i*K(m) + assert F(z, oo) == 0 + assert F(z, -oo) == 0 + + assert F(-z, m) == -F(z, m) + + assert F(z, m).diff(z) == 1/sqrt(1 - m*sin(z)**2) + assert F(z, m).diff(m) == E(z, m)/(2*m*(1 - m)) - F(z, m)/(2*m) - \ + sin(2*z)/(4*(1 - m)*sqrt(1 - m*sin(z)**2)) + r = randcplx() + assert td(F(z, r), z) + assert td(F(r, m), m) + + mi = Symbol('m', real=False) + assert F(z, mi).conjugate() == F(z.conjugate(), mi.conjugate()) + mr = Symbol('m', negative=True) + assert F(z, mr).conjugate() == F(z.conjugate(), mr) + + assert F(z, m).series(z) == \ + z + z**5*(3*m**2/40 - m/30) + m*z**3/6 + O(z**6) + + assert F(z, m).rewrite(Integral).dummy_eq( + Integral(1/sqrt(1 - m*sin(t)**2), (t, 0, z))) + +def test_E(): + assert E(z, 0) == z + assert E(0, m) == 0 + assert E(i*pi/2, m) == i*E(m) + assert E(z, oo) is zoo + assert E(z, -oo) is zoo + assert E(0) == pi/2 + assert E(1) == 1 + assert E(oo) == I*oo + assert E(-oo) is oo + assert E(zoo) is zoo + + assert E(-z, m) == -E(z, m) + + assert E(z, m).diff(z) == sqrt(1 - m*sin(z)**2) + assert E(z, m).diff(m) == (E(z, m) - F(z, m))/(2*m) + assert E(z).diff(z) == (E(z) - K(z))/(2*z) + r = randcplx() + assert td(E(r, m), m) + assert td(E(z, r), z) + assert td(E(z), z) + + mi = Symbol('m', real=False) + assert E(z, mi).conjugate() == E(z.conjugate(), mi.conjugate()) + assert E(mi).conjugate() == E(mi.conjugate()) + mr = Symbol('m', negative=True) + assert E(z, mr).conjugate() == E(z.conjugate(), mr) + assert E(mr).conjugate() == E(mr) + + assert E(z).rewrite(hyper) == (pi/2)*hyper((Rational(-1, 2), S.Half), (S.One,), z) + assert tn(E(z), (pi/2)*hyper((Rational(-1, 2), S.Half), (S.One,), z)) + assert E(z).rewrite(meijerg) == \ + -meijerg(((S.Half, Rational(3, 2)), []), ((S.Zero,), (S.Zero,)), -z)/4 + assert tn(E(z), -meijerg(((S.Half, Rational(3, 2)), []), ((S.Zero,), (S.Zero,)), -z)/4) + + assert E(z, m).series(z) == \ + z + z**5*(-m**2/40 + m/30) - m*z**3/6 + O(z**6) + assert E(z).series(z) == pi/2 - pi*z/8 - 3*pi*z**2/128 - \ + 5*pi*z**3/512 - 175*pi*z**4/32768 - 441*pi*z**5/131072 + O(z**6) + assert E(4*z/(z+1)).series(z) == \ + pi/2 - pi*z/2 + pi*z**2/8 - 3*pi*z**3/8 - 15*pi*z**4/128 - 93*pi*z**5/128 + O(z**6) + + assert E(z, m).rewrite(Integral).dummy_eq( + Integral(sqrt(1 - m*sin(t)**2), (t, 0, z))) + assert E(m).rewrite(Integral).dummy_eq( + Integral(sqrt(1 - m*sin(t)**2), (t, 0, pi/2))) + +def test_P(): + assert P(0, z, m) == F(z, m) + assert P(1, z, m) == F(z, m) + \ + (sqrt(1 - m*sin(z)**2)*tan(z) - E(z, m))/(1 - m) + assert P(n, i*pi/2, m) == i*P(n, m) + assert P(n, z, 0) == atanh(sqrt(n - 1)*tan(z))/sqrt(n - 1) + assert P(n, z, n) == F(z, n) - P(1, z, n) + tan(z)/sqrt(1 - n*sin(z)**2) + assert P(oo, z, m) == 0 + assert P(-oo, z, m) == 0 + assert P(n, z, oo) == 0 + assert P(n, z, -oo) == 0 + assert P(0, m) == K(m) + assert P(1, m) is zoo + assert P(n, 0) == pi/(2*sqrt(1 - n)) + assert P(2, 1) is -oo + assert P(-1, 1) is oo + assert P(n, n) == E(n)/(1 - n) + + assert P(n, -z, m) == -P(n, z, m) + + ni, mi = Symbol('n', real=False), Symbol('m', real=False) + assert P(ni, z, mi).conjugate() == \ + P(ni.conjugate(), z.conjugate(), mi.conjugate()) + nr, mr = Symbol('n', negative=True), \ + Symbol('m', negative=True) + assert P(nr, z, mr).conjugate() == P(nr, z.conjugate(), mr) + assert P(n, m).conjugate() == P(n.conjugate(), m.conjugate()) + + assert P(n, z, m).diff(n) == (E(z, m) + (m - n)*F(z, m)/n + + (n**2 - m)*P(n, z, m)/n - n*sqrt(1 - + m*sin(z)**2)*sin(2*z)/(2*(1 - n*sin(z)**2)))/(2*(m - n)*(n - 1)) + assert P(n, z, m).diff(z) == 1/(sqrt(1 - m*sin(z)**2)*(1 - n*sin(z)**2)) + assert P(n, z, m).diff(m) == (E(z, m)/(m - 1) + P(n, z, m) - + m*sin(2*z)/(2*(m - 1)*sqrt(1 - m*sin(z)**2)))/(2*(n - m)) + assert P(n, m).diff(n) == (E(m) + (m - n)*K(m)/n + + (n**2 - m)*P(n, m)/n)/(2*(m - n)*(n - 1)) + assert P(n, m).diff(m) == (E(m)/(m - 1) + P(n, m))/(2*(n - m)) + + # These tests fail due to + # https://github.com/fredrik-johansson/mpmath/issues/571#issuecomment-777201962 + # https://github.com/sympy/sympy/issues/20933#issuecomment-777080385 + # + # rx, ry = randcplx(), randcplx() + # assert td(P(n, rx, ry), n) + # assert td(P(rx, z, ry), z) + # assert td(P(rx, ry, m), m) + + assert P(n, z, m).series(z) == z + z**3*(m/6 + n/3) + \ + z**5*(3*m**2/40 + m*n/10 - m/30 + n**2/5 - n/15) + O(z**6) + + assert P(n, z, m).rewrite(Integral).dummy_eq( + Integral(1/((1 - n*sin(t)**2)*sqrt(1 - m*sin(t)**2)), (t, 0, z))) + assert P(n, m).rewrite(Integral).dummy_eq( + Integral(1/((1 - n*sin(t)**2)*sqrt(1 - m*sin(t)**2)), (t, 0, pi/2))) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/tests/test_error_functions.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/tests/test_error_functions.py new file mode 100644 index 0000000000000000000000000000000000000000..073371d3d584b97936729dc2e39c833ac347559b --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/tests/test_error_functions.py @@ -0,0 +1,860 @@ +from sympy.core.function import (diff, expand, expand_func) +from sympy.core import EulerGamma +from sympy.core.numbers import (E, Float, I, Rational, nan, oo, pi) +from sympy.core.singleton import S +from sympy.core.symbol import (Symbol, symbols, Dummy) +from sympy.functions.elementary.complexes import (conjugate, im, polar_lift, re) +from sympy.functions.elementary.exponential import (exp, exp_polar, log) +from sympy.functions.elementary.hyperbolic import (cosh, sinh) +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.trigonometric import (cos, sin, sinc) +from sympy.functions.special.error_functions import (Chi, Ci, E1, Ei, Li, Shi, Si, erf, erf2, erf2inv, erfc, erfcinv, erfi, erfinv, expint, fresnelc, fresnels, li) +from sympy.functions.special.gamma_functions import (gamma, uppergamma) +from sympy.functions.special.hyper import (hyper, meijerg) +from sympy.integrals.integrals import (Integral, integrate) +from sympy.series.gruntz import gruntz +from sympy.series.limits import limit +from sympy.series.order import O +from sympy.core.expr import unchanged +from sympy.core.function import ArgumentIndexError +from sympy.functions.special.error_functions import _erfs, _eis +from sympy.testing.pytest import raises + +x, y, z = symbols('x,y,z') +w = Symbol("w", real=True) +n = Symbol("n", integer=True) +t = Dummy('t') + + +def test_erf(): + assert erf(nan) is nan + + assert erf(oo) == 1 + assert erf(-oo) == -1 + + assert erf(0) is S.Zero + + assert erf(I*oo) == oo*I + assert erf(-I*oo) == -oo*I + + assert erf(-2) == -erf(2) + assert erf(-x*y) == -erf(x*y) + assert erf(-x - y) == -erf(x + y) + + assert erf(erfinv(x)) == x + assert erf(erfcinv(x)) == 1 - x + assert erf(erf2inv(0, x)) == x + assert erf(erf2inv(0, x, evaluate=False)) == x # To cover code in erf + assert erf(erf2inv(0, erf(erfcinv(1 - erf(erfinv(x)))))) == x + + alpha = symbols('alpha', extended_real=True) + assert erf(alpha).is_real is True + assert erf(alpha).is_finite is True + alpha = symbols('alpha', extended_real=False) + assert erf(alpha).is_real is None + assert erf(alpha).is_finite is None + assert erf(alpha).is_zero is None + assert erf(alpha).is_positive is None + assert erf(alpha).is_negative is None + alpha = symbols('alpha', extended_positive=True) + assert erf(alpha).is_positive is True + alpha = symbols('alpha', extended_negative=True) + assert erf(alpha).is_negative is True + assert erf(I).is_real is False + assert erf(0, evaluate=False).is_real + assert erf(0, evaluate=False).is_zero + + assert conjugate(erf(z)) == erf(conjugate(z)) + + assert erf(x).as_leading_term(x) == 2*x/sqrt(pi) + assert erf(x*y).as_leading_term(y) == 2*x*y/sqrt(pi) + assert (erf(x*y)/erf(y)).as_leading_term(y) == x + assert erf(1/x).as_leading_term(x) == S.One + + assert erf(z).rewrite('uppergamma') == sqrt(z**2)*(1 - erfc(sqrt(z**2)))/z + assert erf(z).rewrite('erfc') == S.One - erfc(z) + assert erf(z).rewrite('erfi') == -I*erfi(I*z) + assert erf(z).rewrite('fresnels') == (1 + I)*(fresnelc(z*(1 - I)/sqrt(pi)) - + I*fresnels(z*(1 - I)/sqrt(pi))) + assert erf(z).rewrite('fresnelc') == (1 + I)*(fresnelc(z*(1 - I)/sqrt(pi)) - + I*fresnels(z*(1 - I)/sqrt(pi))) + assert erf(z).rewrite('hyper') == 2*z*hyper([S.Half], [3*S.Half], -z**2)/sqrt(pi) + assert erf(z).rewrite('meijerg') == z*meijerg([S.Half], [], [0], [Rational(-1, 2)], z**2)/sqrt(pi) + assert erf(z).rewrite('expint') == sqrt(z**2)/z - z*expint(S.Half, z**2)/sqrt(S.Pi) + + assert limit(exp(x)*exp(x**2)*(erf(x + 1/exp(x)) - erf(x)), x, oo) == \ + 2/sqrt(pi) + assert limit((1 - erf(z))*exp(z**2)*z, z, oo) == 1/sqrt(pi) + assert limit((1 - erf(x))*exp(x**2)*sqrt(pi)*x, x, oo) == 1 + assert limit(((1 - erf(x))*exp(x**2)*sqrt(pi)*x - 1)*2*x**2, x, oo) == -1 + assert limit(erf(x)/x, x, 0) == 2/sqrt(pi) + assert limit(x**(-4) - sqrt(pi)*erf(x**2) / (2*x**6), x, 0) == S(1)/3 + + assert erf(x).as_real_imag() == \ + (erf(re(x) - I*im(x))/2 + erf(re(x) + I*im(x))/2, + -I*(-erf(re(x) - I*im(x)) + erf(re(x) + I*im(x)))/2) + + assert erf(x).as_real_imag(deep=False) == \ + (erf(re(x) - I*im(x))/2 + erf(re(x) + I*im(x))/2, + -I*(-erf(re(x) - I*im(x)) + erf(re(x) + I*im(x)))/2) + + assert erf(w).as_real_imag() == (erf(w), 0) + assert erf(w).as_real_imag(deep=False) == (erf(w), 0) + # issue 13575 + assert erf(I).as_real_imag() == (0, -I*erf(I)) + + raises(ArgumentIndexError, lambda: erf(x).fdiff(2)) + + assert erf(x).inverse() == erfinv + + +def test_erf_series(): + assert erf(x).series(x, 0, 7) == 2*x/sqrt(pi) - \ + 2*x**3/3/sqrt(pi) + x**5/5/sqrt(pi) + O(x**7) + + assert erf(x).series(x, oo) == \ + -exp(-x**2)*(3/(4*x**5) - 1/(2*x**3) + 1/x + O(x**(-6), (x, oo)))/sqrt(pi) + 1 + assert erf(x**2).series(x, oo, n=8) == \ + (-1/(2*x**6) + x**(-2) + O(x**(-8), (x, oo)))*exp(-x**4)/sqrt(pi)*-1 + 1 + assert erf(sqrt(x)).series(x, oo, n=3) == (sqrt(1/x) - (1/x)**(S(3)/2)/2\ + + 3*(1/x)**(S(5)/2)/4 + O(x**(-3), (x, oo)))*exp(-x)/sqrt(pi)*-1 + 1 + + +def test_erf_evalf(): + assert abs( erf(Float(2.0)) - 0.995322265 ) < 1E-8 # XXX + + +def test__erfs(): + assert _erfs(z).diff(z) == -2/sqrt(S.Pi) + 2*z*_erfs(z) + + assert _erfs(1/z).series(z) == \ + z/sqrt(pi) - z**3/(2*sqrt(pi)) + 3*z**5/(4*sqrt(pi)) + O(z**6) + + assert expand(erf(z).rewrite('tractable').diff(z).rewrite('intractable')) \ + == erf(z).diff(z) + assert _erfs(z).rewrite("intractable") == (-erf(z) + 1)*exp(z**2) + raises(ArgumentIndexError, lambda: _erfs(z).fdiff(2)) + + +def test_erfc(): + assert erfc(nan) is nan + + assert erfc(oo) is S.Zero + assert erfc(-oo) == 2 + + assert erfc(0) == 1 + + assert erfc(I*oo) == -oo*I + assert erfc(-I*oo) == oo*I + + assert erfc(-x) == S(2) - erfc(x) + assert erfc(erfcinv(x)) == x + + alpha = symbols('alpha', extended_real=True) + assert erfc(alpha).is_real is True + alpha = symbols('alpha', extended_real=False) + assert erfc(alpha).is_real is None + assert erfc(I).is_real is False + assert erfc(0, evaluate=False).is_real + assert erfc(0, evaluate=False).is_zero is False + + assert erfc(erfinv(x)) == 1 - x + + assert conjugate(erfc(z)) == erfc(conjugate(z)) + + assert erfc(x).as_leading_term(x) is S.One + assert erfc(1/x).as_leading_term(x) == S.Zero + + assert erfc(z).rewrite('erf') == 1 - erf(z) + assert erfc(z).rewrite('erfi') == 1 + I*erfi(I*z) + assert erfc(z).rewrite('fresnels') == 1 - (1 + I)*(fresnelc(z*(1 - I)/sqrt(pi)) - + I*fresnels(z*(1 - I)/sqrt(pi))) + assert erfc(z).rewrite('fresnelc') == 1 - (1 + I)*(fresnelc(z*(1 - I)/sqrt(pi)) - + I*fresnels(z*(1 - I)/sqrt(pi))) + assert erfc(z).rewrite('hyper') == 1 - 2*z*hyper([S.Half], [3*S.Half], -z**2)/sqrt(pi) + assert erfc(z).rewrite('meijerg') == 1 - z*meijerg([S.Half], [], [0], [Rational(-1, 2)], z**2)/sqrt(pi) + assert erfc(z).rewrite('uppergamma') == 1 - sqrt(z**2)*(1 - erfc(sqrt(z**2)))/z + assert erfc(z).rewrite('expint') == S.One - sqrt(z**2)/z + z*expint(S.Half, z**2)/sqrt(S.Pi) + assert erfc(z).rewrite('tractable') == _erfs(z)*exp(-z**2) + assert expand_func(erf(x) + erfc(x)) is S.One + + assert erfc(x).as_real_imag() == \ + (erfc(re(x) - I*im(x))/2 + erfc(re(x) + I*im(x))/2, + -I*(-erfc(re(x) - I*im(x)) + erfc(re(x) + I*im(x)))/2) + + assert erfc(x).as_real_imag(deep=False) == \ + (erfc(re(x) - I*im(x))/2 + erfc(re(x) + I*im(x))/2, + -I*(-erfc(re(x) - I*im(x)) + erfc(re(x) + I*im(x)))/2) + + assert erfc(w).as_real_imag() == (erfc(w), 0) + assert erfc(w).as_real_imag(deep=False) == (erfc(w), 0) + raises(ArgumentIndexError, lambda: erfc(x).fdiff(2)) + + assert erfc(x).inverse() == erfcinv + + +def test_erfc_series(): + assert erfc(x).series(x, 0, 7) == 1 - 2*x/sqrt(pi) + \ + 2*x**3/3/sqrt(pi) - x**5/5/sqrt(pi) + O(x**7) + + assert erfc(x).series(x, oo) == \ + (3/(4*x**5) - 1/(2*x**3) + 1/x + O(x**(-6), (x, oo)))*exp(-x**2)/sqrt(pi) + + +def test_erfc_evalf(): + assert abs( erfc(Float(2.0)) - 0.00467773 ) < 1E-8 # XXX + + +def test_erfi(): + assert erfi(nan) is nan + + assert erfi(oo) is S.Infinity + assert erfi(-oo) is S.NegativeInfinity + + assert erfi(0) is S.Zero + + assert erfi(I*oo) == I + assert erfi(-I*oo) == -I + + assert erfi(-x) == -erfi(x) + + assert erfi(I*erfinv(x)) == I*x + assert erfi(I*erfcinv(x)) == I*(1 - x) + assert erfi(I*erf2inv(0, x)) == I*x + assert erfi(I*erf2inv(0, x, evaluate=False)) == I*x # To cover code in erfi + + assert erfi(I).is_real is False + assert erfi(0, evaluate=False).is_real + assert erfi(0, evaluate=False).is_zero + + assert conjugate(erfi(z)) == erfi(conjugate(z)) + + assert erfi(x).as_leading_term(x) == 2*x/sqrt(pi) + assert erfi(x*y).as_leading_term(y) == 2*x*y/sqrt(pi) + assert (erfi(x*y)/erfi(y)).as_leading_term(y) == x + assert erfi(1/x).as_leading_term(x) == erfi(1/x) + + assert erfi(z).rewrite('erf') == -I*erf(I*z) + assert erfi(z).rewrite('erfc') == I*erfc(I*z) - I + assert erfi(z).rewrite('fresnels') == (1 - I)*(fresnelc(z*(1 + I)/sqrt(pi)) - + I*fresnels(z*(1 + I)/sqrt(pi))) + assert erfi(z).rewrite('fresnelc') == (1 - I)*(fresnelc(z*(1 + I)/sqrt(pi)) - + I*fresnels(z*(1 + I)/sqrt(pi))) + assert erfi(z).rewrite('hyper') == 2*z*hyper([S.Half], [3*S.Half], z**2)/sqrt(pi) + assert erfi(z).rewrite('meijerg') == z*meijerg([S.Half], [], [0], [Rational(-1, 2)], -z**2)/sqrt(pi) + assert erfi(z).rewrite('uppergamma') == (sqrt(-z**2)/z*(uppergamma(S.Half, + -z**2)/sqrt(S.Pi) - S.One)) + assert erfi(z).rewrite('expint') == sqrt(-z**2)/z - z*expint(S.Half, -z**2)/sqrt(S.Pi) + assert erfi(z).rewrite('tractable') == -I*(-_erfs(I*z)*exp(z**2) + 1) + assert expand_func(erfi(I*z)) == I*erf(z) + + assert erfi(x).as_real_imag() == \ + (erfi(re(x) - I*im(x))/2 + erfi(re(x) + I*im(x))/2, + -I*(-erfi(re(x) - I*im(x)) + erfi(re(x) + I*im(x)))/2) + assert erfi(x).as_real_imag(deep=False) == \ + (erfi(re(x) - I*im(x))/2 + erfi(re(x) + I*im(x))/2, + -I*(-erfi(re(x) - I*im(x)) + erfi(re(x) + I*im(x)))/2) + + assert erfi(w).as_real_imag() == (erfi(w), 0) + assert erfi(w).as_real_imag(deep=False) == (erfi(w), 0) + + raises(ArgumentIndexError, lambda: erfi(x).fdiff(2)) + + +def test_erfi_series(): + assert erfi(x).series(x, 0, 7) == 2*x/sqrt(pi) + \ + 2*x**3/3/sqrt(pi) + x**5/5/sqrt(pi) + O(x**7) + + assert erfi(x).series(x, oo) == \ + (3/(4*x**5) + 1/(2*x**3) + 1/x + O(x**(-6), (x, oo)))*exp(x**2)/sqrt(pi) - I + + +def test_erfi_evalf(): + assert abs( erfi(Float(2.0)) - 18.5648024145756 ) < 1E-13 # XXX + + +def test_erf2(): + + assert erf2(0, 0) is S.Zero + assert erf2(x, x) is S.Zero + assert erf2(nan, 0) is nan + + assert erf2(-oo, y) == erf(y) + 1 + assert erf2( oo, y) == erf(y) - 1 + assert erf2( x, oo) == 1 - erf(x) + assert erf2( x,-oo) == -1 - erf(x) + assert erf2(x, erf2inv(x, y)) == y + + assert erf2(-x, -y) == -erf2(x,y) + assert erf2(-x, y) == erf(y) + erf(x) + assert erf2( x, -y) == -erf(y) - erf(x) + assert erf2(x, y).rewrite('fresnels') == erf(y).rewrite(fresnels)-erf(x).rewrite(fresnels) + assert erf2(x, y).rewrite('fresnelc') == erf(y).rewrite(fresnelc)-erf(x).rewrite(fresnelc) + assert erf2(x, y).rewrite('hyper') == erf(y).rewrite(hyper)-erf(x).rewrite(hyper) + assert erf2(x, y).rewrite('meijerg') == erf(y).rewrite(meijerg)-erf(x).rewrite(meijerg) + assert erf2(x, y).rewrite('uppergamma') == erf(y).rewrite(uppergamma) - erf(x).rewrite(uppergamma) + assert erf2(x, y).rewrite('expint') == erf(y).rewrite(expint)-erf(x).rewrite(expint) + + assert erf2(I, 0).is_real is False + assert erf2(0, 0, evaluate=False).is_real + assert erf2(0, 0, evaluate=False).is_zero + assert erf2(x, x, evaluate=False).is_zero + assert erf2(x, y).is_zero is None + + assert expand_func(erf(x) + erf2(x, y)) == erf(y) + + assert conjugate(erf2(x, y)) == erf2(conjugate(x), conjugate(y)) + + assert erf2(x, y).rewrite('erf') == erf(y) - erf(x) + assert erf2(x, y).rewrite('erfc') == erfc(x) - erfc(y) + assert erf2(x, y).rewrite('erfi') == I*(erfi(I*x) - erfi(I*y)) + + assert erf2(x, y).diff(x) == erf2(x, y).fdiff(1) + assert erf2(x, y).diff(y) == erf2(x, y).fdiff(2) + assert erf2(x, y).diff(x) == -2*exp(-x**2)/sqrt(pi) + assert erf2(x, y).diff(y) == 2*exp(-y**2)/sqrt(pi) + raises(ArgumentIndexError, lambda: erf2(x, y).fdiff(3)) + + assert erf2(x, y).is_extended_real is None + xr, yr = symbols('xr yr', extended_real=True) + assert erf2(xr, yr).is_extended_real is True + + +def test_erfinv(): + assert erfinv(0) is S.Zero + assert erfinv(1) is S.Infinity + assert erfinv(nan) is S.NaN + assert erfinv(-1) is S.NegativeInfinity + + assert erfinv(erf(w)) == w + assert erfinv(erf(-w)) == -w + + assert erfinv(x).diff() == sqrt(pi)*exp(erfinv(x)**2)/2 + raises(ArgumentIndexError, lambda: erfinv(x).fdiff(2)) + + assert erfinv(z).rewrite('erfcinv') == erfcinv(1-z) + assert erfinv(z).inverse() == erf + + +def test_erfinv_evalf(): + assert abs( erfinv(Float(0.2)) - 0.179143454621292 ) < 1E-13 + + +def test_erfcinv(): + assert erfcinv(1) is S.Zero + assert erfcinv(0) is S.Infinity + assert erfcinv(0, evaluate=False).is_infinite is True + assert erfcinv(2, evaluate=False).is_infinite is True + assert erfcinv(nan) is S.NaN + + assert erfcinv(x).diff() == -sqrt(pi)*exp(erfcinv(x)**2)/2 + raises(ArgumentIndexError, lambda: erfcinv(x).fdiff(2)) + + assert erfcinv(z).rewrite('erfinv') == erfinv(1-z) + assert erfcinv(z).inverse() == erfc + + +def test_erf2inv(): + assert erf2inv(0, 0) is S.Zero + assert erf2inv(0, 1) is S.Infinity + assert erf2inv(1, 0) is S.One + assert erf2inv(0, y) == erfinv(y) + assert erf2inv(oo, y) == erfcinv(-y) + assert erf2inv(x, 0) == x + assert erf2inv(x, oo) == erfinv(x) + assert erf2inv(nan, 0) is nan + assert erf2inv(0, nan) is nan + + assert erf2inv(x, y).diff(x) == exp(-x**2 + erf2inv(x, y)**2) + assert erf2inv(x, y).diff(y) == sqrt(pi)*exp(erf2inv(x, y)**2)/2 + raises(ArgumentIndexError, lambda: erf2inv(x, y).fdiff(3)) + + +# NOTE we multiply by exp_polar(I*pi) and need this to be on the principal +# branch, hence take x in the lower half plane (d=0). + + +def mytn(expr1, expr2, expr3, x, d=0): + from sympy.core.random import verify_numerically, random_complex_number + subs = {} + for a in expr1.free_symbols: + if a != x: + subs[a] = random_complex_number() + return expr2 == expr3 and verify_numerically(expr1.subs(subs), + expr2.subs(subs), x, d=d) + + +def mytd(expr1, expr2, x): + from sympy.core.random import test_derivative_numerically, \ + random_complex_number + subs = {} + for a in expr1.free_symbols: + if a != x: + subs[a] = random_complex_number() + return expr1.diff(x) == expr2 and test_derivative_numerically(expr1.subs(subs), x) + + +def tn_branch(func, s=None): + from sympy.core.random import uniform + + def fn(x): + if s is None: + return func(x) + return func(s, x) + c = uniform(1, 5) + expr = fn(c*exp_polar(I*pi)) - fn(c*exp_polar(-I*pi)) + eps = 1e-15 + expr2 = fn(-c + eps*I) - fn(-c - eps*I) + return abs(expr.n() - expr2.n()).n() < 1e-10 + + +def test_ei(): + assert Ei(0) is S.NegativeInfinity + assert Ei(oo) is S.Infinity + assert Ei(-oo) is S.Zero + + assert tn_branch(Ei) + assert mytd(Ei(x), exp(x)/x, x) + assert mytn(Ei(x), Ei(x).rewrite(uppergamma), + -uppergamma(0, x*polar_lift(-1)) - I*pi, x) + assert mytn(Ei(x), Ei(x).rewrite(expint), + -expint(1, x*polar_lift(-1)) - I*pi, x) + assert Ei(x).rewrite(expint).rewrite(Ei) == Ei(x) + assert Ei(x*exp_polar(2*I*pi)) == Ei(x) + 2*I*pi + assert Ei(x*exp_polar(-2*I*pi)) == Ei(x) - 2*I*pi + + assert mytn(Ei(x), Ei(x).rewrite(Shi), Chi(x) + Shi(x), x) + assert mytn(Ei(x*polar_lift(I)), Ei(x*polar_lift(I)).rewrite(Si), + Ci(x) + I*Si(x) + I*pi/2, x) + + assert Ei(log(x)).rewrite(li) == li(x) + assert Ei(2*log(x)).rewrite(li) == li(x**2) + + assert gruntz(Ei(x+exp(-x))*exp(-x)*x, x, oo) == 1 + + assert Ei(x).series(x) == EulerGamma + log(x) + x + x**2/4 + \ + x**3/18 + x**4/96 + x**5/600 + O(x**6) + assert Ei(x).series(x, 1, 3) == Ei(1) + E*(x - 1) + O((x - 1)**3, (x, 1)) + assert Ei(x).series(x, oo) == \ + (120/x**5 + 24/x**4 + 6/x**3 + 2/x**2 + 1/x + 1 + O(x**(-6), (x, oo)))*exp(x)/x + assert Ei(x).series(x, -oo) == \ + (120/x**5 + 24/x**4 + 6/x**3 + 2/x**2 + 1/x + 1 + O(x**(-6), (x, -oo)))*exp(x)/x + assert Ei(-x).series(x, oo) == \ + -((-120/x**5 + 24/x**4 - 6/x**3 + 2/x**2 - 1/x + 1 + O(x**(-6), (x, oo)))*exp(-x)/x) + + assert str(Ei(cos(2)).evalf(n=10)) == '-0.6760647401' + raises(ArgumentIndexError, lambda: Ei(x).fdiff(2)) + + +def test_expint(): + assert mytn(expint(x, y), expint(x, y).rewrite(uppergamma), + y**(x - 1)*uppergamma(1 - x, y), x) + assert mytd( + expint(x, y), -y**(x - 1)*meijerg([], [1, 1], [0, 0, 1 - x], [], y), x) + assert mytd(expint(x, y), -expint(x - 1, y), y) + assert mytn(expint(1, x), expint(1, x).rewrite(Ei), + -Ei(x*polar_lift(-1)) + I*pi, x) + + assert expint(-4, x) == exp(-x)/x + 4*exp(-x)/x**2 + 12*exp(-x)/x**3 \ + + 24*exp(-x)/x**4 + 24*exp(-x)/x**5 + assert expint(Rational(-3, 2), x) == \ + exp(-x)/x + 3*exp(-x)/(2*x**2) + 3*sqrt(pi)*erfc(sqrt(x))/(4*x**S('5/2')) + + assert tn_branch(expint, 1) + assert tn_branch(expint, 2) + assert tn_branch(expint, 3) + assert tn_branch(expint, 1.7) + assert tn_branch(expint, pi) + + assert expint(y, x*exp_polar(2*I*pi)) == \ + x**(y - 1)*(exp(2*I*pi*y) - 1)*gamma(-y + 1) + expint(y, x) + assert expint(y, x*exp_polar(-2*I*pi)) == \ + x**(y - 1)*(exp(-2*I*pi*y) - 1)*gamma(-y + 1) + expint(y, x) + assert expint(2, x*exp_polar(2*I*pi)) == 2*I*pi*x + expint(2, x) + assert expint(2, x*exp_polar(-2*I*pi)) == -2*I*pi*x + expint(2, x) + assert expint(1, x).rewrite(Ei).rewrite(expint) == expint(1, x) + assert expint(x, y).rewrite(Ei) == expint(x, y) + assert expint(x, y).rewrite(Ci) == expint(x, y) + + assert mytn(E1(x), E1(x).rewrite(Shi), Shi(x) - Chi(x), x) + assert mytn(E1(polar_lift(I)*x), E1(polar_lift(I)*x).rewrite(Si), + -Ci(x) + I*Si(x) - I*pi/2, x) + + assert mytn(expint(2, x), expint(2, x).rewrite(Ei).rewrite(expint), + -x*E1(x) + exp(-x), x) + assert mytn(expint(3, x), expint(3, x).rewrite(Ei).rewrite(expint), + x**2*E1(x)/2 + (1 - x)*exp(-x)/2, x) + + assert expint(Rational(3, 2), z).nseries(z) == \ + 2 + 2*z - z**2/3 + z**3/15 - z**4/84 + z**5/540 - \ + 2*sqrt(pi)*sqrt(z) + O(z**6) + + assert E1(z).series(z) == -EulerGamma - log(z) + z - \ + z**2/4 + z**3/18 - z**4/96 + z**5/600 + O(z**6) + + assert expint(4, z).series(z) == Rational(1, 3) - z/2 + z**2/2 + \ + z**3*(log(z)/6 - Rational(11, 36) + EulerGamma/6 - I*pi/6) - z**4/24 + \ + z**5/240 + O(z**6) + + assert expint(n, x).series(x, oo, n=3) == \ + (n*(n + 1)/x**2 - n/x + 1 + O(x**(-3), (x, oo)))*exp(-x)/x + + assert expint(z, y).series(z, 0, 2) == exp(-y)/y - z*meijerg(((), (1, 1)), + ((0, 0, 1), ()), y)/y + O(z**2) + raises(ArgumentIndexError, lambda: expint(x, y).fdiff(3)) + + neg = Symbol('neg', negative=True) + assert Ei(neg).rewrite(Si) == Shi(neg) + Chi(neg) - I*pi + + +def test__eis(): + assert _eis(z).diff(z) == -_eis(z) + 1/z + + assert _eis(1/z).series(z) == \ + z + z**2 + 2*z**3 + 6*z**4 + 24*z**5 + O(z**6) + + assert Ei(z).rewrite('tractable') == exp(z)*_eis(z) + assert li(z).rewrite('tractable') == z*_eis(log(z)) + + assert _eis(z).rewrite('intractable') == exp(-z)*Ei(z) + + assert expand(li(z).rewrite('tractable').diff(z).rewrite('intractable')) \ + == li(z).diff(z) + + assert expand(Ei(z).rewrite('tractable').diff(z).rewrite('intractable')) \ + == Ei(z).diff(z) + + assert _eis(z).series(z, n=3) == EulerGamma + log(z) + z*(-log(z) - \ + EulerGamma + 1) + z**2*(log(z)/2 - Rational(3, 4) + EulerGamma/2)\ + + O(z**3*log(z)) + raises(ArgumentIndexError, lambda: _eis(z).fdiff(2)) + + +def tn_arg(func): + def test(arg, e1, e2): + from sympy.core.random import uniform + v = uniform(1, 5) + v1 = func(arg*x).subs(x, v).n() + v2 = func(e1*v + e2*1e-15).n() + return abs(v1 - v2).n() < 1e-10 + return test(exp_polar(I*pi/2), I, 1) and \ + test(exp_polar(-I*pi/2), -I, 1) and \ + test(exp_polar(I*pi), -1, I) and \ + test(exp_polar(-I*pi), -1, -I) + + +def test_li(): + z = Symbol("z") + zr = Symbol("z", real=True) + zp = Symbol("z", positive=True) + zn = Symbol("z", negative=True) + + assert li(0) is S.Zero + assert li(1) is -oo + assert li(oo) is oo + + assert isinstance(li(z), li) + assert unchanged(li, -zp) + assert unchanged(li, zn) + + assert diff(li(z), z) == 1/log(z) + + assert conjugate(li(z)) == li(conjugate(z)) + assert conjugate(li(-zr)) == li(-zr) + assert unchanged(conjugate, li(-zp)) + assert unchanged(conjugate, li(zn)) + + assert li(z).rewrite(Li) == Li(z) + li(2) + assert li(z).rewrite(Ei) == Ei(log(z)) + assert li(z).rewrite(uppergamma) == (-log(1/log(z))/2 - log(-log(z)) + + log(log(z))/2 - expint(1, -log(z))) + assert li(z).rewrite(Si) == (-log(I*log(z)) - log(1/log(z))/2 + + log(log(z))/2 + Ci(I*log(z)) + Shi(log(z))) + assert li(z).rewrite(Ci) == (-log(I*log(z)) - log(1/log(z))/2 + + log(log(z))/2 + Ci(I*log(z)) + Shi(log(z))) + assert li(z).rewrite(Shi) == (-log(1/log(z))/2 + log(log(z))/2 + + Chi(log(z)) - Shi(log(z))) + assert li(z).rewrite(Chi) == (-log(1/log(z))/2 + log(log(z))/2 + + Chi(log(z)) - Shi(log(z))) + assert li(z).rewrite(hyper) ==(log(z)*hyper((1, 1), (2, 2), log(z)) - + log(1/log(z))/2 + log(log(z))/2 + EulerGamma) + assert li(z).rewrite(meijerg) == (-log(1/log(z))/2 - log(-log(z)) + log(log(z))/2 - + meijerg(((), (1,)), ((0, 0), ()), -log(z))) + + assert gruntz(1/li(z), z, oo) is S.Zero + assert li(z).series(z) == log(z)**5/600 + log(z)**4/96 + log(z)**3/18 + log(z)**2/4 + \ + log(z) + log(log(z)) + EulerGamma + raises(ArgumentIndexError, lambda: li(z).fdiff(2)) + + +def test_Li(): + assert Li(2) is S.Zero + assert Li(oo) is oo + + assert isinstance(Li(z), Li) + + assert diff(Li(z), z) == 1/log(z) + + assert gruntz(1/Li(z), z, oo) is S.Zero + assert Li(z).rewrite(li) == li(z) - li(2) + assert Li(z).series(z) == \ + log(z)**5/600 + log(z)**4/96 + log(z)**3/18 + log(z)**2/4 + log(z) + log(log(z)) - li(2) + EulerGamma + raises(ArgumentIndexError, lambda: Li(z).fdiff(2)) + + +def test_si(): + assert Si(I*x) == I*Shi(x) + assert Shi(I*x) == I*Si(x) + assert Si(-I*x) == -I*Shi(x) + assert Shi(-I*x) == -I*Si(x) + assert Si(-x) == -Si(x) + assert Shi(-x) == -Shi(x) + assert Si(exp_polar(2*pi*I)*x) == Si(x) + assert Si(exp_polar(-2*pi*I)*x) == Si(x) + assert Shi(exp_polar(2*pi*I)*x) == Shi(x) + assert Shi(exp_polar(-2*pi*I)*x) == Shi(x) + + assert Si(oo) == pi/2 + assert Si(-oo) == -pi/2 + assert Shi(oo) is oo + assert Shi(-oo) is -oo + + assert mytd(Si(x), sin(x)/x, x) + assert mytd(Shi(x), sinh(x)/x, x) + + assert mytn(Si(x), Si(x).rewrite(Ei), + -I*(-Ei(x*exp_polar(-I*pi/2))/2 + + Ei(x*exp_polar(I*pi/2))/2 - I*pi) + pi/2, x) + assert mytn(Si(x), Si(x).rewrite(expint), + -I*(-expint(1, x*exp_polar(-I*pi/2))/2 + + expint(1, x*exp_polar(I*pi/2))/2) + pi/2, x) + assert mytn(Shi(x), Shi(x).rewrite(Ei), + Ei(x)/2 - Ei(x*exp_polar(I*pi))/2 + I*pi/2, x) + assert mytn(Shi(x), Shi(x).rewrite(expint), + expint(1, x)/2 - expint(1, x*exp_polar(I*pi))/2 - I*pi/2, x) + + assert tn_arg(Si) + assert tn_arg(Shi) + + assert Si(x)._eval_as_leading_term(x, None, 1) == x + assert Si(2*x)._eval_as_leading_term(x, None, 1) == 2*x + assert Si(sin(x))._eval_as_leading_term(x, None, 1) == x + assert Si(x + 1)._eval_as_leading_term(x, None, 1) == Si(1) + assert Si(1/x)._eval_as_leading_term(x, None, 1) == \ + Si(1/x)._eval_as_leading_term(x, None, -1) == Si(1/x) + + assert Si(x).nseries(x, n=8) == \ + x - x**3/18 + x**5/600 - x**7/35280 + O(x**8) + assert Shi(x).nseries(x, n=8) == \ + x + x**3/18 + x**5/600 + x**7/35280 + O(x**8) + assert Si(sin(x)).nseries(x, n=5) == x - 2*x**3/9 + O(x**5) + assert Si(x).nseries(x, 1, n=3) == \ + Si(1) + (x - 1)*sin(1) + (x - 1)**2*(-sin(1)/2 + cos(1)/2) + O((x - 1)**3, (x, 1)) + + assert Si(x).series(x, oo) == -sin(x)*(-6/x**4 + x**(-2) + O(x**(-6), (x, oo))) - \ + cos(x)*(24/x**5 - 2/x**3 + 1/x + O(x**(-6), (x, oo))) + pi/2 + + t = Symbol('t', Dummy=True) + assert Si(x).rewrite(sinc).dummy_eq(Integral(sinc(t), (t, 0, x))) + + assert limit(Shi(x), x, S.Infinity) == S.Infinity + assert limit(Shi(x), x, S.NegativeInfinity) == S.NegativeInfinity + + +def test_ci(): + m1 = exp_polar(I*pi) + m1_ = exp_polar(-I*pi) + pI = exp_polar(I*pi/2) + mI = exp_polar(-I*pi/2) + + assert Ci(m1*x) == Ci(x) + I*pi + assert Ci(m1_*x) == Ci(x) - I*pi + assert Ci(pI*x) == Chi(x) + I*pi/2 + assert Ci(mI*x) == Chi(x) - I*pi/2 + assert Chi(m1*x) == Chi(x) + I*pi + assert Chi(m1_*x) == Chi(x) - I*pi + assert Chi(pI*x) == Ci(x) + I*pi/2 + assert Chi(mI*x) == Ci(x) - I*pi/2 + assert Ci(exp_polar(2*I*pi)*x) == Ci(x) + 2*I*pi + assert Chi(exp_polar(-2*I*pi)*x) == Chi(x) - 2*I*pi + assert Chi(exp_polar(2*I*pi)*x) == Chi(x) + 2*I*pi + assert Ci(exp_polar(-2*I*pi)*x) == Ci(x) - 2*I*pi + + assert Ci(oo) is S.Zero + assert Ci(-oo) == I*pi + assert Chi(oo) is oo + assert Chi(-oo) is oo + + assert mytd(Ci(x), cos(x)/x, x) + assert mytd(Chi(x), cosh(x)/x, x) + + assert mytn(Ci(x), Ci(x).rewrite(Ei), + Ei(x*exp_polar(-I*pi/2))/2 + Ei(x*exp_polar(I*pi/2))/2, x) + assert mytn(Chi(x), Chi(x).rewrite(Ei), + Ei(x)/2 + Ei(x*exp_polar(I*pi))/2 - I*pi/2, x) + + assert tn_arg(Ci) + assert tn_arg(Chi) + + assert Ci(x).nseries(x, n=4) == \ + EulerGamma + log(x) - x**2/4 + O(x**4) + assert Chi(x).nseries(x, n=4) == \ + EulerGamma + log(x) + x**2/4 + O(x**4) + + assert Ci(x).series(x, oo) == -cos(x)*(-6/x**4 + x**(-2) + O(x**(-6), (x, oo))) + \ + sin(x)*(24/x**5 - 2/x**3 + 1/x + O(x**(-6), (x, oo))) + + assert Ci(x).series(x, -oo) == -cos(x)*(-6/x**4 + x**(-2) + O(x**(-6), (x, -oo))) + \ + sin(x)*(24/x**5 - 2/x**3 + 1/x + O(x**(-6), (x, -oo))) + I*pi + + assert limit(log(x) - Ci(2*x), x, 0) == -log(2) - EulerGamma + assert Ci(x).rewrite(uppergamma) == -expint(1, x*exp_polar(-I*pi/2))/2 -\ + expint(1, x*exp_polar(I*pi/2))/2 + assert Ci(x).rewrite(expint) == -expint(1, x*exp_polar(-I*pi/2))/2 -\ + expint(1, x*exp_polar(I*pi/2))/2 + raises(ArgumentIndexError, lambda: Ci(x).fdiff(2)) + + +def test_fresnel(): + assert fresnels(0) is S.Zero + assert fresnels(oo) is S.Half + assert fresnels(-oo) == Rational(-1, 2) + assert fresnels(I*oo) == -I*S.Half + + assert unchanged(fresnels, z) + assert fresnels(-z) == -fresnels(z) + assert fresnels(I*z) == -I*fresnels(z) + assert fresnels(-I*z) == I*fresnels(z) + + assert conjugate(fresnels(z)) == fresnels(conjugate(z)) + + assert fresnels(z).diff(z) == sin(pi*z**2/2) + + assert fresnels(z).rewrite(erf) == (S.One + I)/4 * ( + erf((S.One + I)/2*sqrt(pi)*z) - I*erf((S.One - I)/2*sqrt(pi)*z)) + + assert fresnels(z).rewrite(hyper) == \ + pi*z**3/6 * hyper([Rational(3, 4)], [Rational(3, 2), Rational(7, 4)], -pi**2*z**4/16) + + assert fresnels(z).series(z, n=15) == \ + pi*z**3/6 - pi**3*z**7/336 + pi**5*z**11/42240 + O(z**15) + + assert fresnels(w).is_extended_real is True + assert fresnels(w).is_finite is True + + assert fresnels(z).is_extended_real is None + assert fresnels(z).is_finite is None + + assert fresnels(z).as_real_imag() == (fresnels(re(z) - I*im(z))/2 + + fresnels(re(z) + I*im(z))/2, + -I*(-fresnels(re(z) - I*im(z)) + fresnels(re(z) + I*im(z)))/2) + + assert fresnels(z).as_real_imag(deep=False) == (fresnels(re(z) - I*im(z))/2 + + fresnels(re(z) + I*im(z))/2, + -I*(-fresnels(re(z) - I*im(z)) + fresnels(re(z) + I*im(z)))/2) + + assert fresnels(w).as_real_imag() == (fresnels(w), 0) + assert fresnels(w).as_real_imag(deep=True) == (fresnels(w), 0) + + assert fresnels(2 + 3*I).as_real_imag() == ( + fresnels(2 + 3*I)/2 + fresnels(2 - 3*I)/2, + -I*(fresnels(2 + 3*I) - fresnels(2 - 3*I))/2 + ) + + assert expand_func(integrate(fresnels(z), z)) == \ + z*fresnels(z) + cos(pi*z**2/2)/pi + + assert fresnels(z).rewrite(meijerg) == sqrt(2)*pi*z**Rational(9, 4) * \ + meijerg(((), (1,)), ((Rational(3, 4),), + (Rational(1, 4), 0)), -pi**2*z**4/16)/(2*(-z)**Rational(3, 4)*(z**2)**Rational(3, 4)) + + assert fresnelc(0) is S.Zero + assert fresnelc(oo) == S.Half + assert fresnelc(-oo) == Rational(-1, 2) + assert fresnelc(I*oo) == I*S.Half + + assert unchanged(fresnelc, z) + assert fresnelc(-z) == -fresnelc(z) + assert fresnelc(I*z) == I*fresnelc(z) + assert fresnelc(-I*z) == -I*fresnelc(z) + + assert conjugate(fresnelc(z)) == fresnelc(conjugate(z)) + + assert fresnelc(z).diff(z) == cos(pi*z**2/2) + + assert fresnelc(z).rewrite(erf) == (S.One - I)/4 * ( + erf((S.One + I)/2*sqrt(pi)*z) + I*erf((S.One - I)/2*sqrt(pi)*z)) + + assert fresnelc(z).rewrite(hyper) == \ + z * hyper([Rational(1, 4)], [S.Half, Rational(5, 4)], -pi**2*z**4/16) + + assert fresnelc(w).is_extended_real is True + + assert fresnelc(z).as_real_imag() == \ + (fresnelc(re(z) - I*im(z))/2 + fresnelc(re(z) + I*im(z))/2, + -I*(-fresnelc(re(z) - I*im(z)) + fresnelc(re(z) + I*im(z)))/2) + + assert fresnelc(z).as_real_imag(deep=False) == \ + (fresnelc(re(z) - I*im(z))/2 + fresnelc(re(z) + I*im(z))/2, + -I*(-fresnelc(re(z) - I*im(z)) + fresnelc(re(z) + I*im(z)))/2) + + assert fresnelc(2 + 3*I).as_real_imag() == ( + fresnelc(2 - 3*I)/2 + fresnelc(2 + 3*I)/2, + -I*(fresnelc(2 + 3*I) - fresnelc(2 - 3*I))/2 + ) + + assert expand_func(integrate(fresnelc(z), z)) == \ + z*fresnelc(z) - sin(pi*z**2/2)/pi + + assert fresnelc(z).rewrite(meijerg) == sqrt(2)*pi*z**Rational(3, 4) * \ + meijerg(((), (1,)), ((Rational(1, 4),), + (Rational(3, 4), 0)), -pi**2*z**4/16)/(2*(-z)**Rational(1, 4)*(z**2)**Rational(1, 4)) + + from sympy.core.random import verify_numerically + + verify_numerically(re(fresnels(z)), fresnels(z).as_real_imag()[0], z) + verify_numerically(im(fresnels(z)), fresnels(z).as_real_imag()[1], z) + verify_numerically(fresnels(z), fresnels(z).rewrite(hyper), z) + verify_numerically(fresnels(z), fresnels(z).rewrite(meijerg), z) + + verify_numerically(re(fresnelc(z)), fresnelc(z).as_real_imag()[0], z) + verify_numerically(im(fresnelc(z)), fresnelc(z).as_real_imag()[1], z) + verify_numerically(fresnelc(z), fresnelc(z).rewrite(hyper), z) + verify_numerically(fresnelc(z), fresnelc(z).rewrite(meijerg), z) + + raises(ArgumentIndexError, lambda: fresnels(z).fdiff(2)) + raises(ArgumentIndexError, lambda: fresnelc(z).fdiff(2)) + + assert fresnels(x).taylor_term(-1, x) is S.Zero + assert fresnelc(x).taylor_term(-1, x) is S.Zero + assert fresnelc(x).taylor_term(1, x) == -pi**2*x**5/40 + + +def test_fresnel_series(): + assert fresnelc(z).series(z, n=15) == \ + z - pi**2*z**5/40 + pi**4*z**9/3456 - pi**6*z**13/599040 + O(z**15) + + # issues 6510, 10102 + fs = (S.Half - sin(pi*z**2/2)/(pi**2*z**3) + + (-1/(pi*z) + 3/(pi**3*z**5))*cos(pi*z**2/2)) + fc = (S.Half - cos(pi*z**2/2)/(pi**2*z**3) + + (1/(pi*z) - 3/(pi**3*z**5))*sin(pi*z**2/2)) + assert fresnels(z).series(z, oo) == fs + O(z**(-6), (z, oo)) + assert fresnelc(z).series(z, oo) == fc + O(z**(-6), (z, oo)) + assert (fresnels(z).series(z, -oo) + fs.subs(z, -z)).expand().is_Order + assert (fresnelc(z).series(z, -oo) + fc.subs(z, -z)).expand().is_Order + assert (fresnels(1/z).series(z) - fs.subs(z, 1/z)).expand().is_Order + assert (fresnelc(1/z).series(z) - fc.subs(z, 1/z)).expand().is_Order + assert ((2*fresnels(3*z)).series(z, oo) - 2*fs.subs(z, 3*z)).expand().is_Order + assert ((3*fresnelc(2*z)).series(z, oo) - 3*fc.subs(z, 2*z)).expand().is_Order + + +def test_integral_rewrites(): #issues 26134, 26144, 26306 + assert expint(n, x).rewrite(Integral).dummy_eq(Integral(t**-n * exp(-t*x), (t, 1, oo))) + assert Si(x).rewrite(Integral).dummy_eq(Integral(sinc(t), (t, 0, x))) + assert Ci(x).rewrite(Integral).dummy_eq(log(x) - Integral((1 - cos(t))/t, (t, 0, x)) + EulerGamma) + assert fresnels(x).rewrite(Integral).dummy_eq(Integral(sin(pi*t**2/2), (t, 0, x))) + assert fresnelc(x).rewrite(Integral).dummy_eq(Integral(cos(pi*t**2/2), (t, 0, x))) + assert Ei(x).rewrite(Integral).dummy_eq(Integral(exp(t)/t, (t, -oo, x))) + assert fresnels(x).diff(x) == fresnels(x).rewrite(Integral).diff(x) + assert fresnelc(x).diff(x) == fresnelc(x).rewrite(Integral).diff(x) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/tests/test_gamma_functions.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/tests/test_gamma_functions.py new file mode 100644 index 0000000000000000000000000000000000000000..14c57a31ce2edaa60fd5efc8bcbc95668961fd41 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/tests/test_gamma_functions.py @@ -0,0 +1,741 @@ +from sympy.core.function import expand_func, Subs +from sympy.core import EulerGamma +from sympy.core.numbers import (I, Rational, nan, oo, pi, zoo) +from sympy.core.singleton import S +from sympy.core.symbol import (Dummy, Symbol) +from sympy.functions.combinatorial.factorials import factorial +from sympy.functions.combinatorial.numbers import harmonic +from sympy.functions.elementary.complexes import (Abs, conjugate, im, re) +from sympy.functions.elementary.exponential import (exp, exp_polar, log) +from sympy.functions.elementary.hyperbolic import tanh +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.trigonometric import (cos, sin, atan) +from sympy.functions.special.error_functions import (Ei, erf, erfc) +from sympy.functions.special.gamma_functions import (digamma, gamma, loggamma, lowergamma, multigamma, polygamma, trigamma, uppergamma) +from sympy.functions.special.zeta_functions import zeta +from sympy.series.order import O + +from sympy.core.expr import unchanged +from sympy.core.function import ArgumentIndexError +from sympy.testing.pytest import raises +from sympy.core.random import (test_derivative_numerically as td, + random_complex_number as randcplx, + verify_numerically as tn) + +x = Symbol('x') +y = Symbol('y') +n = Symbol('n', integer=True) +w = Symbol('w', real=True) + +def test_gamma(): + assert gamma(nan) is nan + assert gamma(oo) is oo + + assert gamma(-100) is zoo + assert gamma(0) is zoo + assert gamma(-100.0) is zoo + + assert gamma(1) == 1 + assert gamma(2) == 1 + assert gamma(3) == 2 + + assert gamma(102) == factorial(101) + + assert gamma(S.Half) == sqrt(pi) + + assert gamma(Rational(3, 2)) == sqrt(pi)*S.Half + assert gamma(Rational(5, 2)) == sqrt(pi)*Rational(3, 4) + assert gamma(Rational(7, 2)) == sqrt(pi)*Rational(15, 8) + + assert gamma(Rational(-1, 2)) == -2*sqrt(pi) + assert gamma(Rational(-3, 2)) == sqrt(pi)*Rational(4, 3) + assert gamma(Rational(-5, 2)) == sqrt(pi)*Rational(-8, 15) + + assert gamma(Rational(-15, 2)) == sqrt(pi)*Rational(256, 2027025) + + assert gamma(Rational( + -11, 8)).expand(func=True) == Rational(64, 33)*gamma(Rational(5, 8)) + assert gamma(Rational( + -10, 3)).expand(func=True) == Rational(81, 280)*gamma(Rational(2, 3)) + assert gamma(Rational( + 14, 3)).expand(func=True) == Rational(880, 81)*gamma(Rational(2, 3)) + assert gamma(Rational( + 17, 7)).expand(func=True) == Rational(30, 49)*gamma(Rational(3, 7)) + assert gamma(Rational( + 19, 8)).expand(func=True) == Rational(33, 64)*gamma(Rational(3, 8)) + + assert gamma(x).diff(x) == gamma(x)*polygamma(0, x) + + assert gamma(x - 1).expand(func=True) == gamma(x)/(x - 1) + assert gamma(x + 2).expand(func=True, mul=False) == x*(x + 1)*gamma(x) + + assert conjugate(gamma(x)) == gamma(conjugate(x)) + + assert expand_func(gamma(x + Rational(3, 2))) == \ + (x + S.Half)*gamma(x + S.Half) + + assert expand_func(gamma(x - S.Half)) == \ + gamma(S.Half + x)/(x - S.Half) + + # Test a bug: + assert expand_func(gamma(x + Rational(3, 4))) == gamma(x + Rational(3, 4)) + + # XXX: Not sure about these tests. I can fix them by defining e.g. + # exp_polar.is_integer but I'm not sure if that makes sense. + assert gamma(3*exp_polar(I*pi)/4).is_nonnegative is False + assert gamma(3*exp_polar(I*pi)/4).is_extended_nonpositive is True + + y = Symbol('y', nonpositive=True, integer=True) + assert gamma(y).is_real == False + y = Symbol('y', positive=True, noninteger=True) + assert gamma(y).is_real == True + + assert gamma(-1.0, evaluate=False).is_real == False + assert gamma(0, evaluate=False).is_real == False + assert gamma(-2, evaluate=False).is_real == False + + +def test_gamma_rewrite(): + assert gamma(n).rewrite(factorial) == factorial(n - 1) + + +def test_gamma_series(): + assert gamma(x + 1).series(x, 0, 3) == \ + 1 - EulerGamma*x + x**2*(EulerGamma**2/2 + pi**2/12) + O(x**3) + assert gamma(x).series(x, -1, 3) == \ + -1/(x + 1) + EulerGamma - 1 + (x + 1)*(-1 - pi**2/12 - EulerGamma**2/2 + \ + EulerGamma) + (x + 1)**2*(-1 - pi**2/12 - EulerGamma**2/2 + EulerGamma**3/6 - \ + polygamma(2, 1)/6 + EulerGamma*pi**2/12 + EulerGamma) + O((x + 1)**3, (x, -1)) + + +def tn_branch(s, func): + from sympy.core.random import uniform + c = uniform(1, 5) + expr = func(s, c*exp_polar(I*pi)) - func(s, c*exp_polar(-I*pi)) + eps = 1e-15 + expr2 = func(s + eps, -c + eps*I) - func(s + eps, -c - eps*I) + return abs(expr.n() - expr2.n()).n() < 1e-10 + + +def test_lowergamma(): + from sympy.functions.special.error_functions import expint + from sympy.functions.special.hyper import meijerg + assert lowergamma(x, 0) == 0 + assert lowergamma(x, y).diff(y) == y**(x - 1)*exp(-y) + assert td(lowergamma(randcplx(), y), y) + assert td(lowergamma(x, randcplx()), x) + assert lowergamma(x, y).diff(x) == \ + gamma(x)*digamma(x) - uppergamma(x, y)*log(y) \ + - meijerg([], [1, 1], [0, 0, x], [], y) + + assert lowergamma(S.Half, x) == sqrt(pi)*erf(sqrt(x)) + assert not lowergamma(S.Half - 3, x).has(lowergamma) + assert not lowergamma(S.Half + 3, x).has(lowergamma) + assert lowergamma(S.Half, x, evaluate=False).has(lowergamma) + assert tn(lowergamma(S.Half + 3, x, evaluate=False), + lowergamma(S.Half + 3, x), x) + assert tn(lowergamma(S.Half - 3, x, evaluate=False), + lowergamma(S.Half - 3, x), x) + + assert tn_branch(-3, lowergamma) + assert tn_branch(-4, lowergamma) + assert tn_branch(Rational(1, 3), lowergamma) + assert tn_branch(pi, lowergamma) + assert lowergamma(3, exp_polar(4*pi*I)*x) == lowergamma(3, x) + assert lowergamma(y, exp_polar(5*pi*I)*x) == \ + exp(4*I*pi*y)*lowergamma(y, x*exp_polar(pi*I)) + assert lowergamma(-2, exp_polar(5*pi*I)*x) == \ + lowergamma(-2, x*exp_polar(I*pi)) + 2*pi*I + + assert conjugate(lowergamma(x, y)) == lowergamma(conjugate(x), conjugate(y)) + assert conjugate(lowergamma(x, 0)) == 0 + assert unchanged(conjugate, lowergamma(x, -oo)) + + assert lowergamma(0, x)._eval_is_meromorphic(x, 0) == False + assert lowergamma(S(1)/3, x)._eval_is_meromorphic(x, 0) == False + assert lowergamma(1, x, evaluate=False)._eval_is_meromorphic(x, 0) == True + assert lowergamma(x, x)._eval_is_meromorphic(x, 0) == False + assert lowergamma(x + 1, x)._eval_is_meromorphic(x, 0) == False + assert lowergamma(1/x, x)._eval_is_meromorphic(x, 0) == False + assert lowergamma(0, x + 1)._eval_is_meromorphic(x, 0) == False + assert lowergamma(S(1)/3, x + 1)._eval_is_meromorphic(x, 0) == True + assert lowergamma(1, x + 1, evaluate=False)._eval_is_meromorphic(x, 0) == True + assert lowergamma(x, x + 1)._eval_is_meromorphic(x, 0) == True + assert lowergamma(x + 1, x + 1)._eval_is_meromorphic(x, 0) == True + assert lowergamma(1/x, x + 1)._eval_is_meromorphic(x, 0) == False + assert lowergamma(0, 1/x)._eval_is_meromorphic(x, 0) == False + assert lowergamma(S(1)/3, 1/x)._eval_is_meromorphic(x, 0) == False + assert lowergamma(1, 1/x, evaluate=False)._eval_is_meromorphic(x, 0) == False + assert lowergamma(x, 1/x)._eval_is_meromorphic(x, 0) == False + assert lowergamma(x + 1, 1/x)._eval_is_meromorphic(x, 0) == False + assert lowergamma(1/x, 1/x)._eval_is_meromorphic(x, 0) == False + + assert lowergamma(x, 2).series(x, oo, 3) == \ + 2**x*(1 + 2/(x + 1))*exp(-2)/x + O(exp(x*log(2))/x**3, (x, oo)) + + assert lowergamma( + x, y).rewrite(expint) == -y**x*expint(-x + 1, y) + gamma(x) + k = Symbol('k', integer=True) + assert lowergamma( + k, y).rewrite(expint) == -y**k*expint(-k + 1, y) + gamma(k) + k = Symbol('k', integer=True, positive=False) + assert lowergamma(k, y).rewrite(expint) == lowergamma(k, y) + assert lowergamma(x, y).rewrite(uppergamma) == gamma(x) - uppergamma(x, y) + + assert lowergamma(70, 6) == factorial(69) - 69035724522603011058660187038367026272747334489677105069435923032634389419656200387949342530805432320 * exp(-6) + assert (lowergamma(S(77) / 2, 6) - lowergamma(S(77) / 2, 6, evaluate=False)).evalf() < 1e-16 + assert (lowergamma(-S(77) / 2, 6) - lowergamma(-S(77) / 2, 6, evaluate=False)).evalf() < 1e-16 + + +def test_uppergamma(): + from sympy.functions.special.error_functions import expint + from sympy.functions.special.hyper import meijerg + assert uppergamma(4, 0) == 6 + assert uppergamma(x, y).diff(y) == -y**(x - 1)*exp(-y) + assert td(uppergamma(randcplx(), y), y) + assert uppergamma(x, y).diff(x) == \ + uppergamma(x, y)*log(y) + meijerg([], [1, 1], [0, 0, x], [], y) + assert td(uppergamma(x, randcplx()), x) + + p = Symbol('p', positive=True) + assert uppergamma(0, p) == -Ei(-p) + assert uppergamma(p, 0) == gamma(p) + assert uppergamma(S.Half, x) == sqrt(pi)*erfc(sqrt(x)) + assert not uppergamma(S.Half - 3, x).has(uppergamma) + assert not uppergamma(S.Half + 3, x).has(uppergamma) + assert uppergamma(S.Half, x, evaluate=False).has(uppergamma) + assert tn(uppergamma(S.Half + 3, x, evaluate=False), + uppergamma(S.Half + 3, x), x) + assert tn(uppergamma(S.Half - 3, x, evaluate=False), + uppergamma(S.Half - 3, x), x) + + assert unchanged(uppergamma, x, -oo) + assert unchanged(uppergamma, x, 0) + + assert tn_branch(-3, uppergamma) + assert tn_branch(-4, uppergamma) + assert tn_branch(Rational(1, 3), uppergamma) + assert tn_branch(pi, uppergamma) + assert uppergamma(3, exp_polar(4*pi*I)*x) == uppergamma(3, x) + assert uppergamma(y, exp_polar(5*pi*I)*x) == \ + exp(4*I*pi*y)*uppergamma(y, x*exp_polar(pi*I)) + \ + gamma(y)*(1 - exp(4*pi*I*y)) + assert uppergamma(-2, exp_polar(5*pi*I)*x) == \ + uppergamma(-2, x*exp_polar(I*pi)) - 2*pi*I + + assert uppergamma(-2, x) == expint(3, x)/x**2 + + assert conjugate(uppergamma(x, y)) == uppergamma(conjugate(x), conjugate(y)) + assert unchanged(conjugate, uppergamma(x, -oo)) + + assert uppergamma(x, y).rewrite(expint) == y**x*expint(-x + 1, y) + assert uppergamma(x, y).rewrite(lowergamma) == gamma(x) - lowergamma(x, y) + + assert uppergamma(70, 6) == 69035724522603011058660187038367026272747334489677105069435923032634389419656200387949342530805432320*exp(-6) + assert (uppergamma(S(77) / 2, 6) - uppergamma(S(77) / 2, 6, evaluate=False)).evalf() < 1e-16 + assert (uppergamma(-S(77) / 2, 6) - uppergamma(-S(77) / 2, 6, evaluate=False)).evalf() < 1e-16 + + +def test_polygamma(): + assert polygamma(n, nan) is nan + + assert polygamma(0, oo) is oo + assert polygamma(0, -oo) is oo + assert polygamma(0, I*oo) is oo + assert polygamma(0, -I*oo) is oo + assert polygamma(1, oo) == 0 + assert polygamma(5, oo) == 0 + + assert polygamma(0, -9) is zoo + + assert polygamma(0, -9) is zoo + assert polygamma(0, -1) is zoo + assert polygamma(Rational(3, 2), -1) is zoo + + assert polygamma(0, 0) is zoo + + assert polygamma(0, 1) == -EulerGamma + assert polygamma(0, 7) == Rational(49, 20) - EulerGamma + + assert polygamma(1, 1) == pi**2/6 + assert polygamma(1, 2) == pi**2/6 - 1 + assert polygamma(1, 3) == pi**2/6 - Rational(5, 4) + assert polygamma(3, 1) == pi**4 / 15 + assert polygamma(3, 5) == 6*(Rational(-22369, 20736) + pi**4/90) + assert polygamma(5, 1) == 8 * pi**6 / 63 + + assert polygamma(1, S.Half) == pi**2 / 2 + assert polygamma(2, S.Half) == -14*zeta(3) + assert polygamma(11, S.Half) == 176896*pi**12 + + def t(m, n): + x = S(m)/n + r = polygamma(0, x) + if r.has(polygamma): + return False + return abs(polygamma(0, x.n()).n() - r.n()).n() < 1e-10 + assert t(1, 2) + assert t(3, 2) + assert t(-1, 2) + assert t(1, 4) + assert t(-3, 4) + assert t(1, 3) + assert t(4, 3) + assert t(3, 4) + assert t(2, 3) + assert t(123, 5) + + assert polygamma(0, x).rewrite(zeta) == polygamma(0, x) + assert polygamma(1, x).rewrite(zeta) == zeta(2, x) + assert polygamma(2, x).rewrite(zeta) == -2*zeta(3, x) + assert polygamma(I, 2).rewrite(zeta) == polygamma(I, 2) + n1 = Symbol('n1') + n2 = Symbol('n2', real=True) + n3 = Symbol('n3', integer=True) + n4 = Symbol('n4', positive=True) + n5 = Symbol('n5', positive=True, integer=True) + assert polygamma(n1, x).rewrite(zeta) == polygamma(n1, x) + assert polygamma(n2, x).rewrite(zeta) == polygamma(n2, x) + assert polygamma(n3, x).rewrite(zeta) == polygamma(n3, x) + assert polygamma(n4, x).rewrite(zeta) == polygamma(n4, x) + assert polygamma(n5, x).rewrite(zeta) == (-1)**(n5 + 1) * factorial(n5) * zeta(n5 + 1, x) + + assert polygamma(3, 7*x).diff(x) == 7*polygamma(4, 7*x) + + assert polygamma(0, x).rewrite(harmonic) == harmonic(x - 1) - EulerGamma + assert polygamma(2, x).rewrite(harmonic) == 2*harmonic(x - 1, 3) - 2*zeta(3) + ni = Symbol("n", integer=True) + assert polygamma(ni, x).rewrite(harmonic) == (-1)**(ni + 1)*(-harmonic(x - 1, ni + 1) + + zeta(ni + 1))*factorial(ni) + + # Polygamma of non-negative integer order is unbranched: + k = Symbol('n', integer=True, nonnegative=True) + assert polygamma(k, exp_polar(2*I*pi)*x) == polygamma(k, x) + + # but negative integers are branched! + k = Symbol('n', integer=True) + assert polygamma(k, exp_polar(2*I*pi)*x).args == (k, exp_polar(2*I*pi)*x) + + # Polygamma of order -1 is loggamma: + assert polygamma(-1, x) == loggamma(x) - log(2*pi) / 2 + + # But smaller orders are iterated integrals and don't have a special name + assert polygamma(-2, x).func is polygamma + + # Test a bug + assert polygamma(0, -x).expand(func=True) == polygamma(0, -x) + + assert polygamma(2, 2.5).is_positive == False + assert polygamma(2, -2.5).is_positive == False + assert polygamma(3, 2.5).is_positive == True + assert polygamma(3, -2.5).is_positive is True + assert polygamma(-2, -2.5).is_positive is None + assert polygamma(-3, -2.5).is_positive is None + + assert polygamma(2, 2.5).is_negative == True + assert polygamma(3, 2.5).is_negative == False + assert polygamma(3, -2.5).is_negative == False + assert polygamma(2, -2.5).is_negative is True + assert polygamma(-2, -2.5).is_negative is None + assert polygamma(-3, -2.5).is_negative is None + + assert polygamma(I, 2).is_positive is None + assert polygamma(I, 3).is_negative is None + + # issue 17350 + assert (I*polygamma(I, pi)).as_real_imag() == \ + (-im(polygamma(I, pi)), re(polygamma(I, pi))) + assert (tanh(polygamma(I, 1))).rewrite(exp) == \ + (exp(polygamma(I, 1)) - exp(-polygamma(I, 1)))/(exp(polygamma(I, 1)) + exp(-polygamma(I, 1))) + assert (I / polygamma(I, 4)).rewrite(exp) == \ + I*exp(-I*atan(im(polygamma(I, 4))/re(polygamma(I, 4))))/Abs(polygamma(I, 4)) + + # issue 12569 + assert unchanged(im, polygamma(0, I)) + assert polygamma(Symbol('a', positive=True), Symbol('b', positive=True)).is_real is True + assert polygamma(0, I).is_real is None + + assert str(polygamma(pi, 3).evalf(n=10)) == "0.1169314564" + assert str(polygamma(2.3, 1.0).evalf(n=10)) == "-3.003302909" + assert str(polygamma(-1, 1).evalf(n=10)) == "-0.9189385332" # not zero + assert str(polygamma(I, 1).evalf(n=10)) == "-3.109856569 + 1.89089016*I" + assert str(polygamma(1, I).evalf(n=10)) == "-0.5369999034 - 0.7942335428*I" + assert str(polygamma(I, I).evalf(n=10)) == "6.332362889 + 45.92828268*I" + + +def test_polygamma_expand_func(): + assert polygamma(0, x).expand(func=True) == polygamma(0, x) + assert polygamma(0, 2*x).expand(func=True) == \ + polygamma(0, x)/2 + polygamma(0, S.Half + x)/2 + log(2) + assert polygamma(1, 2*x).expand(func=True) == \ + polygamma(1, x)/4 + polygamma(1, S.Half + x)/4 + assert polygamma(2, x).expand(func=True) == \ + polygamma(2, x) + assert polygamma(0, -1 + x).expand(func=True) == \ + polygamma(0, x) - 1/(x - 1) + assert polygamma(0, 1 + x).expand(func=True) == \ + 1/x + polygamma(0, x ) + assert polygamma(0, 2 + x).expand(func=True) == \ + 1/x + 1/(1 + x) + polygamma(0, x) + assert polygamma(0, 3 + x).expand(func=True) == \ + polygamma(0, x) + 1/x + 1/(1 + x) + 1/(2 + x) + assert polygamma(0, 4 + x).expand(func=True) == \ + polygamma(0, x) + 1/x + 1/(1 + x) + 1/(2 + x) + 1/(3 + x) + assert polygamma(1, 1 + x).expand(func=True) == \ + polygamma(1, x) - 1/x**2 + assert polygamma(1, 2 + x).expand(func=True, multinomial=False) == \ + polygamma(1, x) - 1/x**2 - 1/(1 + x)**2 + assert polygamma(1, 3 + x).expand(func=True, multinomial=False) == \ + polygamma(1, x) - 1/x**2 - 1/(1 + x)**2 - 1/(2 + x)**2 + assert polygamma(1, 4 + x).expand(func=True, multinomial=False) == \ + polygamma(1, x) - 1/x**2 - 1/(1 + x)**2 - \ + 1/(2 + x)**2 - 1/(3 + x)**2 + assert polygamma(0, x + y).expand(func=True) == \ + polygamma(0, x + y) + assert polygamma(1, x + y).expand(func=True) == \ + polygamma(1, x + y) + assert polygamma(1, 3 + 4*x + y).expand(func=True, multinomial=False) == \ + polygamma(1, y + 4*x) - 1/(y + 4*x)**2 - \ + 1/(1 + y + 4*x)**2 - 1/(2 + y + 4*x)**2 + assert polygamma(3, 3 + 4*x + y).expand(func=True, multinomial=False) == \ + polygamma(3, y + 4*x) - 6/(y + 4*x)**4 - \ + 6/(1 + y + 4*x)**4 - 6/(2 + y + 4*x)**4 + assert polygamma(3, 4*x + y + 1).expand(func=True, multinomial=False) == \ + polygamma(3, y + 4*x) - 6/(y + 4*x)**4 + e = polygamma(3, 4*x + y + Rational(3, 2)) + assert e.expand(func=True) == e + e = polygamma(3, x + y + Rational(3, 4)) + assert e.expand(func=True, basic=False) == e + + assert polygamma(-1, x, evaluate=False).expand(func=True) == \ + loggamma(x) - log(pi)/2 - log(2)/2 + p2 = polygamma(-2, x).expand(func=True) + x**2/2 - x/2 + S(1)/12 + assert isinstance(p2, Subs) + assert p2.point == (-1,) + + +def test_digamma(): + assert digamma(nan) == nan + + assert digamma(oo) == oo + assert digamma(-oo) == oo + assert digamma(I*oo) == oo + assert digamma(-I*oo) == oo + + assert digamma(-9) == zoo + + assert digamma(-9) == zoo + assert digamma(-1) == zoo + + assert digamma(0) == zoo + + assert digamma(1) == -EulerGamma + assert digamma(7) == Rational(49, 20) - EulerGamma + + def t(m, n): + x = S(m)/n + r = digamma(x) + if r.has(digamma): + return False + return abs(digamma(x.n()).n() - r.n()).n() < 1e-10 + assert t(1, 2) + assert t(3, 2) + assert t(-1, 2) + assert t(1, 4) + assert t(-3, 4) + assert t(1, 3) + assert t(4, 3) + assert t(3, 4) + assert t(2, 3) + assert t(123, 5) + + assert digamma(x).rewrite(zeta) == polygamma(0, x) + + assert digamma(x).rewrite(harmonic) == harmonic(x - 1) - EulerGamma + + assert digamma(I).is_real is None + + assert digamma(x,evaluate=False).fdiff() == polygamma(1, x) + + assert digamma(x,evaluate=False).is_real is None + + assert digamma(x,evaluate=False).is_positive is None + + assert digamma(x,evaluate=False).is_negative is None + + assert digamma(x,evaluate=False).rewrite(polygamma) == polygamma(0, x) + + +def test_digamma_expand_func(): + assert digamma(x).expand(func=True) == polygamma(0, x) + assert digamma(2*x).expand(func=True) == \ + polygamma(0, x)/2 + polygamma(0, Rational(1, 2) + x)/2 + log(2) + assert digamma(-1 + x).expand(func=True) == \ + polygamma(0, x) - 1/(x - 1) + assert digamma(1 + x).expand(func=True) == \ + 1/x + polygamma(0, x ) + assert digamma(2 + x).expand(func=True) == \ + 1/x + 1/(1 + x) + polygamma(0, x) + assert digamma(3 + x).expand(func=True) == \ + polygamma(0, x) + 1/x + 1/(1 + x) + 1/(2 + x) + assert digamma(4 + x).expand(func=True) == \ + polygamma(0, x) + 1/x + 1/(1 + x) + 1/(2 + x) + 1/(3 + x) + assert digamma(x + y).expand(func=True) == \ + polygamma(0, x + y) + +def test_trigamma(): + assert trigamma(nan) == nan + + assert trigamma(oo) == 0 + + assert trigamma(1) == pi**2/6 + assert trigamma(2) == pi**2/6 - 1 + assert trigamma(3) == pi**2/6 - Rational(5, 4) + + assert trigamma(x, evaluate=False).rewrite(zeta) == zeta(2, x) + assert trigamma(x, evaluate=False).rewrite(harmonic) == \ + trigamma(x).rewrite(polygamma).rewrite(harmonic) + + assert trigamma(x,evaluate=False).fdiff() == polygamma(2, x) + + assert trigamma(x,evaluate=False).is_real is None + + assert trigamma(x,evaluate=False).is_positive is None + + assert trigamma(x,evaluate=False).is_negative is None + + assert trigamma(x,evaluate=False).rewrite(polygamma) == polygamma(1, x) + +def test_trigamma_expand_func(): + assert trigamma(2*x).expand(func=True) == \ + polygamma(1, x)/4 + polygamma(1, Rational(1, 2) + x)/4 + assert trigamma(1 + x).expand(func=True) == \ + polygamma(1, x) - 1/x**2 + assert trigamma(2 + x).expand(func=True, multinomial=False) == \ + polygamma(1, x) - 1/x**2 - 1/(1 + x)**2 + assert trigamma(3 + x).expand(func=True, multinomial=False) == \ + polygamma(1, x) - 1/x**2 - 1/(1 + x)**2 - 1/(2 + x)**2 + assert trigamma(4 + x).expand(func=True, multinomial=False) == \ + polygamma(1, x) - 1/x**2 - 1/(1 + x)**2 - \ + 1/(2 + x)**2 - 1/(3 + x)**2 + assert trigamma(x + y).expand(func=True) == \ + polygamma(1, x + y) + assert trigamma(3 + 4*x + y).expand(func=True, multinomial=False) == \ + polygamma(1, y + 4*x) - 1/(y + 4*x)**2 - \ + 1/(1 + y + 4*x)**2 - 1/(2 + y + 4*x)**2 + +def test_loggamma(): + raises(TypeError, lambda: loggamma(2, 3)) + raises(ArgumentIndexError, lambda: loggamma(x).fdiff(2)) + + assert loggamma(-1) is oo + assert loggamma(-2) is oo + assert loggamma(0) is oo + assert loggamma(1) == 0 + assert loggamma(2) == 0 + assert loggamma(3) == log(2) + assert loggamma(4) == log(6) + + n = Symbol("n", integer=True, positive=True) + assert loggamma(n) == log(gamma(n)) + assert loggamma(-n) is oo + assert loggamma(n/2) == log(2**(-n + 1)*sqrt(pi)*gamma(n)/gamma(n/2 + S.Half)) + + assert loggamma(oo) is oo + assert loggamma(-oo) is zoo + assert loggamma(I*oo) is zoo + assert loggamma(-I*oo) is zoo + assert loggamma(zoo) is zoo + assert loggamma(nan) is nan + + L = loggamma(Rational(16, 3)) + E = -5*log(3) + loggamma(Rational(1, 3)) + log(4) + log(7) + log(10) + log(13) + assert expand_func(L).doit() == E + assert L.n() == E.n() + + L = loggamma(Rational(19, 4)) + E = -4*log(4) + loggamma(Rational(3, 4)) + log(3) + log(7) + log(11) + log(15) + assert expand_func(L).doit() == E + assert L.n() == E.n() + + L = loggamma(Rational(23, 7)) + E = -3*log(7) + log(2) + loggamma(Rational(2, 7)) + log(9) + log(16) + assert expand_func(L).doit() == E + assert L.n() == E.n() + + L = loggamma(Rational(19, 4) - 7) + E = -log(9) - log(5) + loggamma(Rational(3, 4)) + 3*log(4) - 3*I*pi + assert expand_func(L).doit() == E + assert L.n() == E.n() + + L = loggamma(Rational(23, 7) - 6) + E = -log(19) - log(12) - log(5) + loggamma(Rational(2, 7)) + 3*log(7) - 3*I*pi + assert expand_func(L).doit() == E + assert L.n() == E.n() + + assert loggamma(x).diff(x) == polygamma(0, x) + s1 = loggamma(1/(x + sin(x)) + cos(x)).nseries(x, n=4) + s2 = (-log(2*x) - 1)/(2*x) - log(x/pi)/2 + (4 - log(2*x))*x/24 + O(x**2) + \ + log(x)*x**2/2 + assert (s1 - s2).expand(force=True).removeO() == 0 + s1 = loggamma(1/x).series(x) + s2 = (1/x - S.Half)*log(1/x) - 1/x + log(2*pi)/2 + \ + x/12 - x**3/360 + x**5/1260 + O(x**7) + assert ((s1 - s2).expand(force=True)).removeO() == 0 + + assert loggamma(x).rewrite('intractable') == log(gamma(x)) + + s1 = loggamma(x).series(x).cancel() + assert s1 == -log(x) - EulerGamma*x + pi**2*x**2/12 + x**3*polygamma(2, 1)/6 + \ + pi**4*x**4/360 + x**5*polygamma(4, 1)/120 + O(x**6) + assert s1 == loggamma(x).rewrite('intractable').series(x).cancel() + + assert conjugate(loggamma(x)) == loggamma(conjugate(x)) + assert conjugate(loggamma(0)) is oo + assert conjugate(loggamma(1)) == loggamma(conjugate(1)) + assert conjugate(loggamma(-oo)) == conjugate(zoo) + + assert loggamma(Symbol('v', positive=True)).is_real is True + assert loggamma(Symbol('v', zero=True)).is_real is False + assert loggamma(Symbol('v', negative=True)).is_real is False + assert loggamma(Symbol('v', nonpositive=True)).is_real is False + assert loggamma(Symbol('v', nonnegative=True)).is_real is None + assert loggamma(Symbol('v', imaginary=True)).is_real is None + assert loggamma(Symbol('v', real=True)).is_real is None + assert loggamma(Symbol('v')).is_real is None + + assert loggamma(S.Half).is_real is True + assert loggamma(0).is_real is False + assert loggamma(Rational(-1, 2)).is_real is False + assert loggamma(I).is_real is None + assert loggamma(2 + 3*I).is_real is None + + def tN(N, M): + assert loggamma(1/x)._eval_nseries(x, n=N).getn() == M + tN(0, 0) + tN(1, 1) + tN(2, 2) + tN(3, 3) + tN(4, 4) + tN(5, 5) + + +def test_polygamma_expansion(): + # A. & S., pa. 259 and 260 + assert polygamma(0, 1/x).nseries(x, n=3) == \ + -log(x) - x/2 - x**2/12 + O(x**3) + assert polygamma(1, 1/x).series(x, n=5) == \ + x + x**2/2 + x**3/6 + O(x**5) + assert polygamma(3, 1/x).nseries(x, n=11) == \ + 2*x**3 + 3*x**4 + 2*x**5 - x**7 + 4*x**9/3 + O(x**11) + + +def test_polygamma_leading_term(): + expr = -log(1/x) + polygamma(0, 1 + 1/x) + S.EulerGamma + assert expr.as_leading_term(x, logx=-y) == S.EulerGamma + + +def test_issue_8657(): + n = Symbol('n', negative=True, integer=True) + m = Symbol('m', integer=True) + o = Symbol('o', positive=True) + p = Symbol('p', negative=True, integer=False) + assert gamma(n).is_real is False + assert gamma(m).is_real is None + assert gamma(o).is_real is True + assert gamma(p).is_real is True + assert gamma(w).is_real is None + + +def test_issue_8524(): + x = Symbol('x', positive=True) + y = Symbol('y', negative=True) + z = Symbol('z', positive=False) + p = Symbol('p', negative=False) + q = Symbol('q', integer=True) + r = Symbol('r', integer=False) + e = Symbol('e', even=True, negative=True) + assert gamma(x).is_positive is True + assert gamma(y).is_positive is None + assert gamma(z).is_positive is None + assert gamma(p).is_positive is None + assert gamma(q).is_positive is None + assert gamma(r).is_positive is None + assert gamma(e + S.Half).is_positive is True + assert gamma(e - S.Half).is_positive is False + +def test_issue_14450(): + assert uppergamma(Rational(3, 8), x).evalf() == uppergamma(Rational(3, 8), x) + assert lowergamma(x, Rational(3, 8)).evalf() == lowergamma(x, Rational(3, 8)) + # some values from Wolfram Alpha for comparison + assert abs(uppergamma(Rational(3, 8), 2).evalf() - 0.07105675881) < 1e-9 + assert abs(lowergamma(Rational(3, 8), 2).evalf() - 2.2993794256) < 1e-9 + +def test_issue_14528(): + k = Symbol('k', integer=True, nonpositive=True) + assert isinstance(gamma(k), gamma) + +def test_multigamma(): + from sympy.concrete.products import Product + p = Symbol('p') + _k = Dummy('_k') + + assert multigamma(x, p).dummy_eq(pi**(p*(p - 1)/4)*\ + Product(gamma(x + (1 - _k)/2), (_k, 1, p))) + + assert conjugate(multigamma(x, p)).dummy_eq(pi**((conjugate(p) - 1)*\ + conjugate(p)/4)*Product(gamma(conjugate(x) + (1-conjugate(_k))/2), (_k, 1, p))) + assert conjugate(multigamma(x, 1)) == gamma(conjugate(x)) + + p = Symbol('p', positive=True) + assert conjugate(multigamma(x, p)).dummy_eq(pi**((p - 1)*p/4)*\ + Product(gamma(conjugate(x) + (1-conjugate(_k))/2), (_k, 1, p))) + + assert multigamma(nan, 1) is nan + assert multigamma(oo, 1).doit() is oo + + assert multigamma(1, 1) == 1 + assert multigamma(2, 1) == 1 + assert multigamma(3, 1) == 2 + + assert multigamma(102, 1) == factorial(101) + assert multigamma(S.Half, 1) == sqrt(pi) + + assert multigamma(1, 2) == pi + assert multigamma(2, 2) == pi/2 + + assert multigamma(1, 3) is zoo + assert multigamma(2, 3) == pi**2/2 + assert multigamma(3, 3) == 3*pi**2/2 + + assert multigamma(x, 1).diff(x) == gamma(x)*polygamma(0, x) + assert multigamma(x, 2).diff(x) == sqrt(pi)*gamma(x)*gamma(x - S.Half)*\ + polygamma(0, x) + sqrt(pi)*gamma(x)*gamma(x - S.Half)*polygamma(0, x - S.Half) + + assert multigamma(x - 1, 1).expand(func=True) == gamma(x)/(x - 1) + assert multigamma(x + 2, 1).expand(func=True, mul=False) == x*(x + 1)*\ + gamma(x) + assert multigamma(x - 1, 2).expand(func=True) == sqrt(pi)*gamma(x)*\ + gamma(x + S.Half)/(x**3 - 3*x**2 + x*Rational(11, 4) - Rational(3, 4)) + assert multigamma(x - 1, 3).expand(func=True) == pi**Rational(3, 2)*gamma(x)**2*\ + gamma(x + S.Half)/(x**5 - 6*x**4 + 55*x**3/4 - 15*x**2 + x*Rational(31, 4) - Rational(3, 2)) + + assert multigamma(n, 1).rewrite(factorial) == factorial(n - 1) + assert multigamma(n, 2).rewrite(factorial) == sqrt(pi)*\ + factorial(n - Rational(3, 2))*factorial(n - 1) + assert multigamma(n, 3).rewrite(factorial) == pi**Rational(3, 2)*\ + factorial(n - 2)*factorial(n - Rational(3, 2))*factorial(n - 1) + + assert multigamma(Rational(-1, 2), 3, evaluate=False).is_real == False + assert multigamma(S.Half, 3, evaluate=False).is_real == False + assert multigamma(0, 1, evaluate=False).is_real == False + assert multigamma(1, 3, evaluate=False).is_real == False + assert multigamma(-1.0, 3, evaluate=False).is_real == False + assert multigamma(0.7, 3, evaluate=False).is_real == True + assert multigamma(3, 3, evaluate=False).is_real == True + +def test_gamma_as_leading_term(): + assert gamma(x).as_leading_term(x) == 1/x + assert gamma(2 + x).as_leading_term(x) == S(1) + assert gamma(cos(x)).as_leading_term(x) == S(1) + assert gamma(sin(x)).as_leading_term(x) == 1/x diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/tests/test_hyper.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/tests/test_hyper.py new file mode 100644 index 0000000000000000000000000000000000000000..f1be5b5f0db158ff76173e180ed8d88bd59461b9 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/tests/test_hyper.py @@ -0,0 +1,403 @@ +from sympy.core.containers import Tuple +from sympy.core.function import Derivative +from sympy.core.numbers import (I, Rational, oo, pi) +from sympy.core.singleton import S +from sympy.core.symbol import symbols +from sympy.functions.elementary.exponential import (exp, log) +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.trigonometric import cos +from sympy.functions.special.gamma_functions import gamma +from sympy.functions.special.hyper import (appellf1, hyper, meijerg) +from sympy.series.order import O +from sympy.abc import x, z, k +from sympy.series.limits import limit +from sympy.testing.pytest import raises, slow +from sympy.core.random import ( + random_complex_number as randcplx, + verify_numerically as tn, + test_derivative_numerically as td) + + +def test_TupleParametersBase(): + # test that our implementation of the chain rule works + p = hyper((), (), z**2) + assert p.diff(z) == p*2*z + + +def test_hyper(): + raises(TypeError, lambda: hyper(1, 2, z)) + + assert hyper((2, 1), (1,), z) == hyper(Tuple(1, 2), Tuple(1), z) + assert hyper((2, 1, 2), (1, 2, 1, 3), z) == hyper((2,), (1, 3), z) + u = hyper((2, 1, 2), (1, 2, 1, 3), z, evaluate=False) + assert u.ap == Tuple(1, 2, 2) + assert u.bq == Tuple(1, 1, 2, 3) + + h = hyper((1, 2), (3, 4, 5), z) + assert h.ap == Tuple(1, 2) + assert h.bq == Tuple(3, 4, 5) + assert h.argument == z + assert h.is_commutative is True + h = hyper((2, 1), (4, 3, 5), z) + assert h.ap == Tuple(1, 2) + assert h.bq == Tuple(3, 4, 5) + assert h.argument == z + assert h.is_commutative is True + + # just a few checks to make sure that all arguments go where they should + assert tn(hyper(Tuple(), Tuple(), z), exp(z), z) + assert tn(z*hyper((1, 1), Tuple(2), -z), log(1 + z), z) + + # differentiation + h = hyper( + (randcplx(), randcplx(), randcplx()), (randcplx(), randcplx()), z) + assert td(h, z) + + a1, a2, b1, b2, b3 = symbols('a1:3, b1:4') + assert hyper((a1, a2), (b1, b2, b3), z).diff(z) == \ + a1*a2/(b1*b2*b3) * hyper((a1 + 1, a2 + 1), (b1 + 1, b2 + 1, b3 + 1), z) + + # differentiation wrt parameters is not supported + assert hyper([z], [], z).diff(z) == Derivative(hyper([z], [], z), z) + + # hyper is unbranched wrt parameters + from sympy.functions.elementary.complexes import polar_lift + assert hyper([polar_lift(z)], [polar_lift(k)], polar_lift(x)) == \ + hyper([z], [k], polar_lift(x)) + + # hyper does not automatically evaluate anyway, but the test is to make + # sure that the evaluate keyword is accepted + assert hyper((1, 2), (1,), z, evaluate=False).func is hyper + + +def test_expand_func(): + # evaluation at 1 of Gauss' hypergeometric function: + from sympy.abc import a, b, c + from sympy.core.function import expand_func + a1, b1, c1 = randcplx(), randcplx(), randcplx() + 5 + assert expand_func(hyper([a, b], [c], 1)) == \ + gamma(c)*gamma(-a - b + c)/(gamma(-a + c)*gamma(-b + c)) + assert abs(expand_func(hyper([a1, b1], [c1], 1)).n() + - hyper([a1, b1], [c1], 1).n()) < 1e-10 + + # hyperexpand wrapper for hyper: + assert expand_func(hyper([], [], z)) == exp(z) + assert expand_func(hyper([1, 2, 3], [], z)) == hyper([1, 2, 3], [], z) + assert expand_func(meijerg([[1, 1], []], [[1], [0]], z)) == log(z + 1) + assert expand_func(meijerg([[1, 1], []], [[], []], z)) == \ + meijerg([[1, 1], []], [[], []], z) + + +def replace_dummy(expr, sym): + from sympy.core.symbol import Dummy + dum = expr.atoms(Dummy) + if not dum: + return expr + assert len(dum) == 1 + return expr.xreplace({dum.pop(): sym}) + + +def test_hyper_rewrite_sum(): + from sympy.concrete.summations import Sum + from sympy.core.symbol import Dummy + from sympy.functions.combinatorial.factorials import (RisingFactorial, factorial) + _k = Dummy("k") + assert replace_dummy(hyper((1, 2), (1, 3), x).rewrite(Sum), _k) == \ + Sum(x**_k / factorial(_k) * RisingFactorial(2, _k) / + RisingFactorial(3, _k), (_k, 0, oo)) + + assert hyper((1, 2, 3), (-1, 3), z).rewrite(Sum) == \ + hyper((1, 2, 3), (-1, 3), z) + + +def test_radius_of_convergence(): + assert hyper((1, 2), [3], z).radius_of_convergence == 1 + assert hyper((1, 2), [3, 4], z).radius_of_convergence is oo + assert hyper((1, 2, 3), [4], z).radius_of_convergence == 0 + assert hyper((0, 1, 2), [4], z).radius_of_convergence is oo + assert hyper((-1, 1, 2), [-4], z).radius_of_convergence == 0 + assert hyper((-1, -2, 2), [-1], z).radius_of_convergence is oo + assert hyper((-1, 2), [-1, -2], z).radius_of_convergence == 0 + assert hyper([-1, 1, 3], [-2, 2], z).radius_of_convergence == 1 + assert hyper([-1, 1], [-2, 2], z).radius_of_convergence is oo + assert hyper([-1, 1, 3], [-2], z).radius_of_convergence == 0 + assert hyper((-1, 2, 3, 4), [], z).radius_of_convergence is oo + + assert hyper([1, 1], [3], 1).convergence_statement == True + assert hyper([1, 1], [2], 1).convergence_statement == False + assert hyper([1, 1], [2], -1).convergence_statement == True + assert hyper([1, 1], [1], -1).convergence_statement == False + + +def test_meijer(): + raises(TypeError, lambda: meijerg(1, z)) + raises(TypeError, lambda: meijerg(((1,), (2,)), (3,), (4,), z)) + + assert meijerg(((1, 2), (3,)), ((4,), (5,)), z) == \ + meijerg(Tuple(1, 2), Tuple(3), Tuple(4), Tuple(5), z) + + g = meijerg((1, 2), (3, 4, 5), (6, 7, 8, 9), (10, 11, 12, 13, 14), z) + assert g.an == Tuple(1, 2) + assert g.ap == Tuple(1, 2, 3, 4, 5) + assert g.aother == Tuple(3, 4, 5) + assert g.bm == Tuple(6, 7, 8, 9) + assert g.bq == Tuple(6, 7, 8, 9, 10, 11, 12, 13, 14) + assert g.bother == Tuple(10, 11, 12, 13, 14) + assert g.argument == z + assert g.nu == 75 + assert g.delta == -1 + assert g.is_commutative is True + assert g.is_number is False + #issue 13071 + assert meijerg([[],[]], [[S.Half],[0]], 1).is_number is True + + assert meijerg([1, 2], [3], [4], [5], z).delta == S.Half + + # just a few checks to make sure that all arguments go where they should + assert tn(meijerg(Tuple(), Tuple(), Tuple(0), Tuple(), -z), exp(z), z) + assert tn(sqrt(pi)*meijerg(Tuple(), Tuple(), + Tuple(0), Tuple(S.Half), z**2/4), cos(z), z) + assert tn(meijerg(Tuple(1, 1), Tuple(), Tuple(1), Tuple(0), z), + log(1 + z), z) + + # test exceptions + raises(ValueError, lambda: meijerg(((3, 1), (2,)), ((oo,), (2, 0)), x)) + raises(ValueError, lambda: meijerg(((3, 1), (2,)), ((1,), (2, 0)), x)) + + # differentiation + g = meijerg((randcplx(),), (randcplx() + 2*I,), Tuple(), + (randcplx(), randcplx()), z) + assert td(g, z) + + g = meijerg(Tuple(), (randcplx(),), Tuple(), + (randcplx(), randcplx()), z) + assert td(g, z) + + g = meijerg(Tuple(), Tuple(), Tuple(randcplx()), + Tuple(randcplx(), randcplx()), z) + assert td(g, z) + + a1, a2, b1, b2, c1, c2, d1, d2 = symbols('a1:3, b1:3, c1:3, d1:3') + assert meijerg((a1, a2), (b1, b2), (c1, c2), (d1, d2), z).diff(z) == \ + (meijerg((a1 - 1, a2), (b1, b2), (c1, c2), (d1, d2), z) + + (a1 - 1)*meijerg((a1, a2), (b1, b2), (c1, c2), (d1, d2), z))/z + + assert meijerg([z, z], [], [], [], z).diff(z) == \ + Derivative(meijerg([z, z], [], [], [], z), z) + + # meijerg is unbranched wrt parameters + from sympy.functions.elementary.complexes import polar_lift as pl + assert meijerg([pl(a1)], [pl(a2)], [pl(b1)], [pl(b2)], pl(z)) == \ + meijerg([a1], [a2], [b1], [b2], pl(z)) + + # integrand + from sympy.abc import a, b, c, d, s + assert meijerg([a], [b], [c], [d], z).integrand(s) == \ + z**s*gamma(c - s)*gamma(-a + s + 1)/(gamma(b - s)*gamma(-d + s + 1)) + + +def test_meijerg_derivative(): + assert meijerg([], [1, 1], [0, 0, x], [], z).diff(x) == \ + log(z)*meijerg([], [1, 1], [0, 0, x], [], z) \ + + 2*meijerg([], [1, 1, 1], [0, 0, x, 0], [], z) + + y = randcplx() + a = 5 # mpmath chokes with non-real numbers, and Mod1 with floats + assert td(meijerg([x], [], [], [], y), x) + assert td(meijerg([x**2], [], [], [], y), x) + assert td(meijerg([], [x], [], [], y), x) + assert td(meijerg([], [], [x], [], y), x) + assert td(meijerg([], [], [], [x], y), x) + assert td(meijerg([x], [a], [a + 1], [], y), x) + assert td(meijerg([x], [a + 1], [a], [], y), x) + assert td(meijerg([x, a], [], [], [a + 1], y), x) + assert td(meijerg([x, a + 1], [], [], [a], y), x) + b = Rational(3, 2) + assert td(meijerg([a + 2], [b], [b - 3, x], [a], y), x) + + +def test_meijerg_period(): + assert meijerg([], [1], [0], [], x).get_period() == 2*pi + assert meijerg([1], [], [], [0], x).get_period() == 2*pi + assert meijerg([], [], [0], [], x).get_period() == 2*pi # exp(x) + assert meijerg( + [], [], [0], [S.Half], x).get_period() == 2*pi # cos(sqrt(x)) + assert meijerg( + [], [], [S.Half], [0], x).get_period() == 4*pi # sin(sqrt(x)) + assert meijerg([1, 1], [], [1], [0], x).get_period() is oo # log(1 + x) + + +def test_hyper_unpolarify(): + from sympy.functions.elementary.exponential import exp_polar + a = exp_polar(2*pi*I)*x + b = x + assert hyper([], [], a).argument == b + assert hyper([0], [], a).argument == a + assert hyper([0], [0], a).argument == b + assert hyper([0, 1], [0], a).argument == a + assert hyper([0, 1], [0], exp_polar(2*pi*I)).argument == 1 + + +@slow +def test_hyperrep(): + from sympy.functions.special.hyper import (HyperRep, HyperRep_atanh, + HyperRep_power1, HyperRep_power2, HyperRep_log1, HyperRep_asin1, + HyperRep_asin2, HyperRep_sqrts1, HyperRep_sqrts2, HyperRep_log2, + HyperRep_cosasin, HyperRep_sinasin) + # First test the base class works. + from sympy.functions.elementary.exponential import exp_polar + from sympy.functions.elementary.piecewise import Piecewise + a, b, c, d, z = symbols('a b c d z') + + class myrep(HyperRep): + @classmethod + def _expr_small(cls, x): + return a + + @classmethod + def _expr_small_minus(cls, x): + return b + + @classmethod + def _expr_big(cls, x, n): + return c*n + + @classmethod + def _expr_big_minus(cls, x, n): + return d*n + assert myrep(z).rewrite('nonrep') == Piecewise((0, abs(z) > 1), (a, True)) + assert myrep(exp_polar(I*pi)*z).rewrite('nonrep') == \ + Piecewise((0, abs(z) > 1), (b, True)) + assert myrep(exp_polar(2*I*pi)*z).rewrite('nonrep') == \ + Piecewise((c, abs(z) > 1), (a, True)) + assert myrep(exp_polar(3*I*pi)*z).rewrite('nonrep') == \ + Piecewise((d, abs(z) > 1), (b, True)) + assert myrep(exp_polar(4*I*pi)*z).rewrite('nonrep') == \ + Piecewise((2*c, abs(z) > 1), (a, True)) + assert myrep(exp_polar(5*I*pi)*z).rewrite('nonrep') == \ + Piecewise((2*d, abs(z) > 1), (b, True)) + assert myrep(z).rewrite('nonrepsmall') == a + assert myrep(exp_polar(I*pi)*z).rewrite('nonrepsmall') == b + + def t(func, hyp, z): + """ Test that func is a valid representation of hyp. """ + # First test that func agrees with hyp for small z + if not tn(func.rewrite('nonrepsmall'), hyp, z, + a=Rational(-1, 2), b=Rational(-1, 2), c=S.Half, d=S.Half): + return False + # Next check that the two small representations agree. + if not tn( + func.rewrite('nonrepsmall').subs( + z, exp_polar(I*pi)*z).replace(exp_polar, exp), + func.subs(z, exp_polar(I*pi)*z).rewrite('nonrepsmall'), + z, a=Rational(-1, 2), b=Rational(-1, 2), c=S.Half, d=S.Half): + return False + # Next check continuity along exp_polar(I*pi)*t + expr = func.subs(z, exp_polar(I*pi)*z).rewrite('nonrep') + if abs(expr.subs(z, 1 + 1e-15).n() - expr.subs(z, 1 - 1e-15).n()) > 1e-10: + return False + # Finally check continuity of the big reps. + + def dosubs(func, a, b): + rv = func.subs(z, exp_polar(a)*z).rewrite('nonrep') + return rv.subs(z, exp_polar(b)*z).replace(exp_polar, exp) + for n in [0, 1, 2, 3, 4, -1, -2, -3, -4]: + expr1 = dosubs(func, 2*I*pi*n, I*pi/2) + expr2 = dosubs(func, 2*I*pi*n + I*pi, -I*pi/2) + if not tn(expr1, expr2, z): + return False + expr1 = dosubs(func, 2*I*pi*(n + 1), -I*pi/2) + expr2 = dosubs(func, 2*I*pi*n + I*pi, I*pi/2) + if not tn(expr1, expr2, z): + return False + return True + + # Now test the various representatives. + a = Rational(1, 3) + assert t(HyperRep_atanh(z), hyper([S.Half, 1], [Rational(3, 2)], z), z) + assert t(HyperRep_power1(a, z), hyper([-a], [], z), z) + assert t(HyperRep_power2(a, z), hyper([a, a - S.Half], [2*a], z), z) + assert t(HyperRep_log1(z), -z*hyper([1, 1], [2], z), z) + assert t(HyperRep_asin1(z), hyper([S.Half, S.Half], [Rational(3, 2)], z), z) + assert t(HyperRep_asin2(z), hyper([1, 1], [Rational(3, 2)], z), z) + assert t(HyperRep_sqrts1(a, z), hyper([-a, S.Half - a], [S.Half], z), z) + assert t(HyperRep_sqrts2(a, z), + -2*z/(2*a + 1)*hyper([-a - S.Half, -a], [S.Half], z).diff(z), z) + assert t(HyperRep_log2(z), -z/4*hyper([Rational(3, 2), 1, 1], [2, 2], z), z) + assert t(HyperRep_cosasin(a, z), hyper([-a, a], [S.Half], z), z) + assert t(HyperRep_sinasin(a, z), 2*a*z*hyper([1 - a, 1 + a], [Rational(3, 2)], z), z) + + +@slow +def test_meijerg_eval(): + from sympy.functions.elementary.exponential import exp_polar + from sympy.functions.special.bessel import besseli + from sympy.abc import l + a = randcplx() + arg = x*exp_polar(k*pi*I) + expr1 = pi*meijerg([[], [(a + 1)/2]], [[a/2], [-a/2, (a + 1)/2]], arg**2/4) + expr2 = besseli(a, arg) + + # Test that the two expressions agree for all arguments. + for x_ in [0.5, 1.5]: + for k_ in [0.0, 0.1, 0.3, 0.5, 0.8, 1, 5.751, 15.3]: + assert abs((expr1 - expr2).n(subs={x: x_, k: k_})) < 1e-10 + assert abs((expr1 - expr2).n(subs={x: x_, k: -k_})) < 1e-10 + + # Test continuity independently + eps = 1e-13 + expr2 = expr1.subs(k, l) + for x_ in [0.5, 1.5]: + for k_ in [0.5, Rational(1, 3), 0.25, 0.75, Rational(2, 3), 1.0, 1.5]: + assert abs((expr1 - expr2).n( + subs={x: x_, k: k_ + eps, l: k_ - eps})) < 1e-10 + assert abs((expr1 - expr2).n( + subs={x: x_, k: -k_ + eps, l: -k_ - eps})) < 1e-10 + + expr = (meijerg(((0.5,), ()), ((0.5, 0, 0.5), ()), exp_polar(-I*pi)/4) + + meijerg(((0.5,), ()), ((0.5, 0, 0.5), ()), exp_polar(I*pi)/4)) \ + /(2*sqrt(pi)) + assert (expr - pi/exp(1)).n(chop=True) == 0 + + +def test_limits(): + k, x = symbols('k, x') + assert hyper((1,), (Rational(4, 3), Rational(5, 3)), k**2).series(k) == \ + 1 + 9*k**2/20 + 81*k**4/1120 + O(k**6) # issue 6350 + + # https://github.com/sympy/sympy/issues/11465 + assert limit(1/hyper((1, ), (1, ), x), x, 0) == 1 + + +def test_appellf1(): + a, b1, b2, c, x, y = symbols('a b1 b2 c x y') + assert appellf1(a, b2, b1, c, y, x) == appellf1(a, b1, b2, c, x, y) + assert appellf1(a, b1, b1, c, y, x) == appellf1(a, b1, b1, c, x, y) + assert appellf1(a, b1, b2, c, S.Zero, S.Zero) is S.One + + f = appellf1(a, b1, b2, c, S.Zero, S.Zero, evaluate=False) + assert f.func is appellf1 + assert f.doit() is S.One + + +def test_derivative_appellf1(): + from sympy.core.function import diff + a, b1, b2, c, x, y, z = symbols('a b1 b2 c x y z') + assert diff(appellf1(a, b1, b2, c, x, y), x) == a*b1*appellf1(a + 1, b2, b1 + 1, c + 1, y, x)/c + assert diff(appellf1(a, b1, b2, c, x, y), y) == a*b2*appellf1(a + 1, b1, b2 + 1, c + 1, x, y)/c + assert diff(appellf1(a, b1, b2, c, x, y), z) == 0 + assert diff(appellf1(a, b1, b2, c, x, y), a) == Derivative(appellf1(a, b1, b2, c, x, y), a) + + +def test_eval_nseries(): + a1, b1, a2, b2 = symbols('a1 b1 a2 b2') + assert hyper((1,2), (1,2,3), x**2)._eval_nseries(x, 7, None) == \ + 1 + x**2/3 + x**4/24 + x**6/360 + O(x**7) + assert exp(x)._eval_nseries(x,7,None) == \ + hyper((a1, b1), (a1, b1), x)._eval_nseries(x, 7, None) + assert hyper((a1, a2), (b1, b2), x)._eval_nseries(z, 7, None) ==\ + hyper((a1, a2), (b1, b2), x) + O(z**7) + assert hyper((-S(1)/2, S(1)/2), (1,), 4*x/(x + 1)).nseries(x) == \ + 1 - x + x**2/4 - 3*x**3/4 - 15*x**4/64 - 93*x**5/64 + O(x**6) + assert (pi/2*hyper((-S(1)/2, S(1)/2), (1,), 4*x/(x + 1))).nseries(x) == \ + pi/2 - pi*x/2 + pi*x**2/8 - 3*pi*x**3/8 - 15*pi*x**4/128 - 93*pi*x**5/128 + O(x**6) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/tests/test_mathieu.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/tests/test_mathieu.py new file mode 100644 index 0000000000000000000000000000000000000000..b9296f0657d920c8d297f820fb3ab8b6a53129ab --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/tests/test_mathieu.py @@ -0,0 +1,29 @@ +from sympy.core.function import diff +from sympy.functions.elementary.complexes import conjugate +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.trigonometric import (cos, sin) +from sympy.functions.special.mathieu_functions import (mathieuc, mathieucprime, mathieus, mathieusprime) + +from sympy.abc import a, q, z + + +def test_mathieus(): + assert isinstance(mathieus(a, q, z), mathieus) + assert mathieus(a, 0, z) == sin(sqrt(a)*z) + assert conjugate(mathieus(a, q, z)) == mathieus(conjugate(a), conjugate(q), conjugate(z)) + assert diff(mathieus(a, q, z), z) == mathieusprime(a, q, z) + +def test_mathieuc(): + assert isinstance(mathieuc(a, q, z), mathieuc) + assert mathieuc(a, 0, z) == cos(sqrt(a)*z) + assert diff(mathieuc(a, q, z), z) == mathieucprime(a, q, z) + +def test_mathieusprime(): + assert isinstance(mathieusprime(a, q, z), mathieusprime) + assert mathieusprime(a, 0, z) == sqrt(a)*cos(sqrt(a)*z) + assert diff(mathieusprime(a, q, z), z) == (-a + 2*q*cos(2*z))*mathieus(a, q, z) + +def test_mathieucprime(): + assert isinstance(mathieucprime(a, q, z), mathieucprime) + assert mathieucprime(a, 0, z) == -sqrt(a)*sin(sqrt(a)*z) + assert diff(mathieucprime(a, q, z), z) == (-a + 2*q*cos(2*z))*mathieuc(a, q, z) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/tests/test_singularity_functions.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/tests/test_singularity_functions.py new file mode 100644 index 0000000000000000000000000000000000000000..dbd85cb0c7e5524d4fe1441615879b9776ad1693 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/tests/test_singularity_functions.py @@ -0,0 +1,129 @@ +from sympy.core.function import (Derivative, diff) +from sympy.core.numbers import (Float, I, nan, oo, pi) +from sympy.core.relational import Eq +from sympy.core.symbol import (Symbol, symbols) +from sympy.functions.elementary.piecewise import Piecewise +from sympy.functions.special.delta_functions import (DiracDelta, Heaviside) +from sympy.functions.special.singularity_functions import SingularityFunction +from sympy.series.order import O + + +from sympy.core.expr import unchanged +from sympy.core.function import ArgumentIndexError +from sympy.testing.pytest import raises + +x, y, a, n = symbols('x y a n') + + +def test_fdiff(): + assert SingularityFunction(x, 4, 5).fdiff() == 5*SingularityFunction(x, 4, 4) + assert SingularityFunction(x, 4, -1).fdiff() == SingularityFunction(x, 4, -2) + assert SingularityFunction(x, 4, -2).fdiff() == SingularityFunction(x, 4, -3) + assert SingularityFunction(x, 4, -3).fdiff() == SingularityFunction(x, 4, -4) + assert SingularityFunction(x, 4, 0).fdiff() == SingularityFunction(x, 4, -1) + + assert SingularityFunction(y, 6, 2).diff(y) == 2*SingularityFunction(y, 6, 1) + assert SingularityFunction(y, -4, -1).diff(y) == SingularityFunction(y, -4, -2) + assert SingularityFunction(y, 4, 0).diff(y) == SingularityFunction(y, 4, -1) + assert SingularityFunction(y, 4, 0).diff(y, 2) == SingularityFunction(y, 4, -2) + + n = Symbol('n', positive=True) + assert SingularityFunction(x, a, n).fdiff() == n*SingularityFunction(x, a, n - 1) + assert SingularityFunction(y, a, n).diff(y) == n*SingularityFunction(y, a, n - 1) + + expr_in = 4*SingularityFunction(x, a, n) + 3*SingularityFunction(x, a, -1) + -10*SingularityFunction(x, a, 0) + expr_out = n*4*SingularityFunction(x, a, n - 1) + 3*SingularityFunction(x, a, -2) - 10*SingularityFunction(x, a, -1) + assert diff(expr_in, x) == expr_out + + assert SingularityFunction(x, -10, 5).diff(evaluate=False) == ( + Derivative(SingularityFunction(x, -10, 5), x)) + + raises(ArgumentIndexError, lambda: SingularityFunction(x, 4, 5).fdiff(2)) + + +def test_eval(): + assert SingularityFunction(x, a, n).func == SingularityFunction + assert unchanged(SingularityFunction, x, 5, n) + assert SingularityFunction(5, 3, 2) == 4 + assert SingularityFunction(3, 5, 1) == 0 + assert SingularityFunction(3, 3, 0) == 1 + assert SingularityFunction(3, 3, 1) == 0 + assert SingularityFunction(Symbol('z', zero=True), 0, 1) == 0 # like sin(z) == 0 + assert SingularityFunction(4, 4, -1) is oo + assert SingularityFunction(4, 2, -1) == 0 + assert SingularityFunction(4, 7, -1) == 0 + assert SingularityFunction(5, 6, -2) == 0 + assert SingularityFunction(4, 2, -2) == 0 + assert SingularityFunction(4, 4, -2) is oo + assert SingularityFunction(4, 2, -3) == 0 + assert SingularityFunction(8, 8, -3) is oo + assert SingularityFunction(4, 2, -4) == 0 + assert SingularityFunction(8, 8, -4) is oo + assert (SingularityFunction(6.1, 4, 5)).evalf(5) == Float('40.841', '5') + assert SingularityFunction(6.1, pi, 2) == (-pi + 6.1)**2 + assert SingularityFunction(x, a, nan) is nan + assert SingularityFunction(x, nan, 1) is nan + assert SingularityFunction(nan, a, n) is nan + + raises(ValueError, lambda: SingularityFunction(x, a, I)) + raises(ValueError, lambda: SingularityFunction(2*I, I, n)) + raises(ValueError, lambda: SingularityFunction(x, a, -5)) + + +def test_leading_term(): + l = Symbol('l', positive=True) + assert SingularityFunction(x, 3, 2).as_leading_term(x) == 0 + assert SingularityFunction(x, -2, 1).as_leading_term(x) == 2 + assert SingularityFunction(x, 0, 0).as_leading_term(x) == 1 + assert SingularityFunction(x, 0, 0).as_leading_term(x, cdir=-1) == 0 + assert SingularityFunction(x, 0, -1).as_leading_term(x) == 0 + assert SingularityFunction(x, 0, -2).as_leading_term(x) == 0 + assert SingularityFunction(x, 0, -3).as_leading_term(x) == 0 + assert SingularityFunction(x, 0, -4).as_leading_term(x) == 0 + assert (SingularityFunction(x + l, 0, 1)/2\ + - SingularityFunction(x + l, l/2, 1)\ + + SingularityFunction(x + l, l, 1)/2).as_leading_term(x) == -x/2 + + +def test_series(): + l = Symbol('l', positive=True) + assert SingularityFunction(x, -3, 2).series(x) == x**2 + 6*x + 9 + assert SingularityFunction(x, -2, 1).series(x) == x + 2 + assert SingularityFunction(x, 0, 0).series(x) == 1 + assert SingularityFunction(x, 0, 0).series(x, dir='-') == 0 + assert SingularityFunction(x, 0, -1).series(x) == 0 + assert SingularityFunction(x, 0, -2).series(x) == 0 + assert SingularityFunction(x, 0, -3).series(x) == 0 + assert SingularityFunction(x, 0, -4).series(x) == 0 + assert (SingularityFunction(x + l, 0, 1)/2\ + - SingularityFunction(x + l, l/2, 1)\ + + SingularityFunction(x + l, l, 1)/2).nseries(x) == -x/2 + O(x**6) + + +def test_rewrite(): + assert SingularityFunction(x, 4, 5).rewrite(Piecewise) == ( + Piecewise(((x - 4)**5, x - 4 >= 0), (0, True))) + assert SingularityFunction(x, -10, 0).rewrite(Piecewise) == ( + Piecewise((1, x + 10 >= 0), (0, True))) + assert SingularityFunction(x, 2, -1).rewrite(Piecewise) == ( + Piecewise((oo, Eq(x - 2, 0)), (0, True))) + assert SingularityFunction(x, 0, -2).rewrite(Piecewise) == ( + Piecewise((oo, Eq(x, 0)), (0, True))) + + n = Symbol('n', nonnegative=True) + p = SingularityFunction(x, a, n).rewrite(Piecewise) + assert p == ( + Piecewise(((x - a)**n, x - a >= 0), (0, True))) + assert p.subs(x, a).subs(n, 0) == 1 + + expr_in = SingularityFunction(x, 4, 5) + SingularityFunction(x, -3, -1) - SingularityFunction(x, 0, -2) + expr_out = (x - 4)**5*Heaviside(x - 4, 1) + DiracDelta(x + 3) - DiracDelta(x, 1) + assert expr_in.rewrite(Heaviside) == expr_out + assert expr_in.rewrite(DiracDelta) == expr_out + assert expr_in.rewrite('HeavisideDiracDelta') == expr_out + + expr_in = SingularityFunction(x, a, n) + SingularityFunction(x, a, -1) - SingularityFunction(x, a, -2) + expr_out = (x - a)**n*Heaviside(x - a, 1) + DiracDelta(x - a) + DiracDelta(a - x, 1) + assert expr_in.rewrite(Heaviside) == expr_out + assert expr_in.rewrite(DiracDelta) == expr_out + assert expr_in.rewrite('HeavisideDiracDelta') == expr_out diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/tests/test_spec_polynomials.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/tests/test_spec_polynomials.py new file mode 100644 index 0000000000000000000000000000000000000000..584ad3cf97df8b9d92da9fc7805ab4296f40671c --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/tests/test_spec_polynomials.py @@ -0,0 +1,475 @@ +from sympy.concrete.summations import Sum +from sympy.core.function import (Derivative, diff) +from sympy.core.numbers import (Rational, oo, pi, zoo) +from sympy.core.singleton import S +from sympy.core.symbol import (Dummy, Symbol) +from sympy.functions.combinatorial.factorials import (RisingFactorial, binomial, factorial) +from sympy.functions.elementary.complexes import conjugate +from sympy.functions.elementary.exponential import exp +from sympy.functions.elementary.integers import floor +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.trigonometric import cos +from sympy.functions.special.gamma_functions import gamma +from sympy.functions.special.hyper import hyper +from sympy.functions.special.polynomials import (assoc_laguerre, assoc_legendre, chebyshevt, chebyshevt_root, chebyshevu, chebyshevu_root, gegenbauer, hermite, hermite_prob, jacobi, jacobi_normalized, laguerre, legendre) +from sympy.polys.orthopolys import laguerre_poly +from sympy.polys.polyroots import roots + +from sympy.core.expr import unchanged +from sympy.core.function import ArgumentIndexError +from sympy.testing.pytest import raises + + +x = Symbol('x') + + +def test_jacobi(): + n = Symbol("n") + a = Symbol("a") + b = Symbol("b") + + assert jacobi(0, a, b, x) == 1 + assert jacobi(1, a, b, x) == a/2 - b/2 + x*(a/2 + b/2 + 1) + + assert jacobi(n, a, a, x) == RisingFactorial( + a + 1, n)*gegenbauer(n, a + S.Half, x)/RisingFactorial(2*a + 1, n) + assert jacobi(n, a, -a, x) == ((-1)**a*(-x + 1)**(-a/2)*(x + 1)**(a/2)*assoc_legendre(n, a, x)* + factorial(-a + n)*gamma(a + n + 1)/(factorial(a + n)*gamma(n + 1))) + assert jacobi(n, -b, b, x) == ((-x + 1)**(b/2)*(x + 1)**(-b/2)*assoc_legendre(n, b, x)* + gamma(-b + n + 1)/gamma(n + 1)) + assert jacobi(n, 0, 0, x) == legendre(n, x) + assert jacobi(n, S.Half, S.Half, x) == RisingFactorial( + Rational(3, 2), n)*chebyshevu(n, x)/factorial(n + 1) + assert jacobi(n, Rational(-1, 2), Rational(-1, 2), x) == RisingFactorial( + S.Half, n)*chebyshevt(n, x)/factorial(n) + + X = jacobi(n, a, b, x) + assert isinstance(X, jacobi) + + assert jacobi(n, a, b, -x) == (-1)**n*jacobi(n, b, a, x) + assert jacobi(n, a, b, 0) == 2**(-n)*gamma(a + n + 1)*hyper( + (-b - n, -n), (a + 1,), -1)/(factorial(n)*gamma(a + 1)) + assert jacobi(n, a, b, 1) == RisingFactorial(a + 1, n)/factorial(n) + + m = Symbol("m", positive=True) + assert jacobi(m, a, b, oo) == oo*RisingFactorial(a + b + m + 1, m) + assert unchanged(jacobi, n, a, b, oo) + + assert conjugate(jacobi(m, a, b, x)) == \ + jacobi(m, conjugate(a), conjugate(b), conjugate(x)) + + _k = Dummy('k') + assert diff(jacobi(n, a, b, x), n) == Derivative(jacobi(n, a, b, x), n) + assert diff(jacobi(n, a, b, x), a).dummy_eq(Sum((jacobi(n, a, b, x) + + (2*_k + a + b + 1)*RisingFactorial(_k + b + 1, -_k + n)*jacobi(_k, a, + b, x)/((-_k + n)*RisingFactorial(_k + a + b + 1, -_k + n)))/(_k + a + + b + n + 1), (_k, 0, n - 1))) + assert diff(jacobi(n, a, b, x), b).dummy_eq(Sum(((-1)**(-_k + n)*(2*_k + + a + b + 1)*RisingFactorial(_k + a + 1, -_k + n)*jacobi(_k, a, b, x)/ + ((-_k + n)*RisingFactorial(_k + a + b + 1, -_k + n)) + jacobi(n, a, + b, x))/(_k + a + b + n + 1), (_k, 0, n - 1))) + assert diff(jacobi(n, a, b, x), x) == \ + (a/2 + b/2 + n/2 + S.Half)*jacobi(n - 1, a + 1, b + 1, x) + + assert jacobi_normalized(n, a, b, x) == \ + (jacobi(n, a, b, x)/sqrt(2**(a + b + 1)*gamma(a + n + 1)*gamma(b + n + 1) + /((a + b + 2*n + 1)*factorial(n)*gamma(a + b + n + 1)))) + + raises(ValueError, lambda: jacobi(-2.1, a, b, x)) + raises(ValueError, lambda: jacobi(Dummy(positive=True, integer=True), 1, 2, oo)) + + assert jacobi(n, a, b, x).rewrite(Sum).dummy_eq(Sum((S.Half - x/2) + **_k*RisingFactorial(-n, _k)*RisingFactorial(_k + a + 1, -_k + n)* + RisingFactorial(a + b + n + 1, _k)/factorial(_k), (_k, 0, n))/factorial(n)) + assert jacobi(n, a, b, x).rewrite("polynomial").dummy_eq(Sum((S.Half - x/2) + **_k*RisingFactorial(-n, _k)*RisingFactorial(_k + a + 1, -_k + n)* + RisingFactorial(a + b + n + 1, _k)/factorial(_k), (_k, 0, n))/factorial(n)) + raises(ArgumentIndexError, lambda: jacobi(n, a, b, x).fdiff(5)) + + +def test_gegenbauer(): + n = Symbol("n") + a = Symbol("a") + + assert gegenbauer(0, a, x) == 1 + assert gegenbauer(1, a, x) == 2*a*x + assert gegenbauer(2, a, x) == -a + x**2*(2*a**2 + 2*a) + assert gegenbauer(3, a, x) == \ + x**3*(4*a**3/3 + 4*a**2 + a*Rational(8, 3)) + x*(-2*a**2 - 2*a) + + assert gegenbauer(-1, a, x) == 0 + assert gegenbauer(n, S.Half, x) == legendre(n, x) + assert gegenbauer(n, 1, x) == chebyshevu(n, x) + assert gegenbauer(n, -1, x) == 0 + + X = gegenbauer(n, a, x) + assert isinstance(X, gegenbauer) + + assert gegenbauer(n, a, -x) == (-1)**n*gegenbauer(n, a, x) + assert gegenbauer(n, a, 0) == 2**n*sqrt(pi) * \ + gamma(a + n/2)/(gamma(a)*gamma(-n/2 + S.Half)*gamma(n + 1)) + assert gegenbauer(n, a, 1) == gamma(2*a + n)/(gamma(2*a)*gamma(n + 1)) + + assert gegenbauer(n, Rational(3, 4), -1) is zoo + assert gegenbauer(n, Rational(1, 4), -1) == (sqrt(2)*cos(pi*(n + S.One/4))* + gamma(n + S.Half)/(sqrt(pi)*gamma(n + 1))) + + m = Symbol("m", positive=True) + assert gegenbauer(m, a, oo) == oo*RisingFactorial(a, m) + assert unchanged(gegenbauer, n, a, oo) + + assert conjugate(gegenbauer(n, a, x)) == gegenbauer(n, conjugate(a), conjugate(x)) + + _k = Dummy('k') + + assert diff(gegenbauer(n, a, x), n) == Derivative(gegenbauer(n, a, x), n) + assert diff(gegenbauer(n, a, x), a).dummy_eq(Sum((2*(-1)**(-_k + n) + 2)* + (_k + a)*gegenbauer(_k, a, x)/((-_k + n)*(_k + 2*a + n)) + ((2*_k + + 2)/((_k + 2*a)*(2*_k + 2*a + 1)) + 2/(_k + 2*a + n))*gegenbauer(n, a + , x), (_k, 0, n - 1))) + assert diff(gegenbauer(n, a, x), x) == 2*a*gegenbauer(n - 1, a + 1, x) + + assert gegenbauer(n, a, x).rewrite(Sum).dummy_eq( + Sum((-1)**_k*(2*x)**(-2*_k + n)*RisingFactorial(a, -_k + n) + /(factorial(_k)*factorial(-2*_k + n)), (_k, 0, floor(n/2)))) + assert gegenbauer(n, a, x).rewrite("polynomial").dummy_eq( + Sum((-1)**_k*(2*x)**(-2*_k + n)*RisingFactorial(a, -_k + n) + /(factorial(_k)*factorial(-2*_k + n)), (_k, 0, floor(n/2)))) + + raises(ArgumentIndexError, lambda: gegenbauer(n, a, x).fdiff(4)) + + +def test_legendre(): + assert legendre(0, x) == 1 + assert legendre(1, x) == x + assert legendre(2, x) == ((3*x**2 - 1)/2).expand() + assert legendre(3, x) == ((5*x**3 - 3*x)/2).expand() + assert legendre(4, x) == ((35*x**4 - 30*x**2 + 3)/8).expand() + assert legendre(5, x) == ((63*x**5 - 70*x**3 + 15*x)/8).expand() + assert legendre(6, x) == ((231*x**6 - 315*x**4 + 105*x**2 - 5)/16).expand() + + assert legendre(10, -1) == 1 + assert legendre(11, -1) == -1 + assert legendre(10, 1) == 1 + assert legendre(11, 1) == 1 + assert legendre(10, 0) != 0 + assert legendre(11, 0) == 0 + + assert legendre(-1, x) == 1 + k = Symbol('k') + assert legendre(5 - k, x).subs(k, 2) == ((5*x**3 - 3*x)/2).expand() + + assert roots(legendre(4, x), x) == { + sqrt(Rational(3, 7) - Rational(2, 35)*sqrt(30)): 1, + -sqrt(Rational(3, 7) - Rational(2, 35)*sqrt(30)): 1, + sqrt(Rational(3, 7) + Rational(2, 35)*sqrt(30)): 1, + -sqrt(Rational(3, 7) + Rational(2, 35)*sqrt(30)): 1, + } + + n = Symbol("n") + + X = legendre(n, x) + assert isinstance(X, legendre) + assert unchanged(legendre, n, x) + + assert legendre(n, 0) == sqrt(pi)/(gamma(S.Half - n/2)*gamma(n/2 + 1)) + assert legendre(n, 1) == 1 + assert legendre(n, oo) is oo + assert legendre(-n, x) == legendre(n - 1, x) + assert legendre(n, -x) == (-1)**n*legendre(n, x) + assert unchanged(legendre, -n + k, x) + + assert conjugate(legendre(n, x)) == legendre(n, conjugate(x)) + + assert diff(legendre(n, x), x) == \ + n*(x*legendre(n, x) - legendre(n - 1, x))/(x**2 - 1) + assert diff(legendre(n, x), n) == Derivative(legendre(n, x), n) + + _k = Dummy('k') + assert legendre(n, x).rewrite(Sum).dummy_eq(Sum((-1)**_k*(S.Half - + x/2)**_k*(x/2 + S.Half)**(-_k + n)*binomial(n, _k)**2, (_k, 0, n))) + assert legendre(n, x).rewrite("polynomial").dummy_eq(Sum((-1)**_k*(S.Half - + x/2)**_k*(x/2 + S.Half)**(-_k + n)*binomial(n, _k)**2, (_k, 0, n))) + raises(ArgumentIndexError, lambda: legendre(n, x).fdiff(1)) + raises(ArgumentIndexError, lambda: legendre(n, x).fdiff(3)) + + +def test_assoc_legendre(): + Plm = assoc_legendre + Q = sqrt(1 - x**2) + + assert Plm(0, 0, x) == 1 + assert Plm(1, 0, x) == x + assert Plm(1, 1, x) == -Q + assert Plm(2, 0, x) == (3*x**2 - 1)/2 + assert Plm(2, 1, x) == -3*x*Q + assert Plm(2, 2, x) == 3*Q**2 + assert Plm(3, 0, x) == (5*x**3 - 3*x)/2 + assert Plm(3, 1, x).expand() == (( 3*(1 - 5*x**2)/2 ).expand() * Q).expand() + assert Plm(3, 2, x) == 15*x * Q**2 + assert Plm(3, 3, x) == -15 * Q**3 + + # negative m + assert Plm(1, -1, x) == -Plm(1, 1, x)/2 + assert Plm(2, -2, x) == Plm(2, 2, x)/24 + assert Plm(2, -1, x) == -Plm(2, 1, x)/6 + assert Plm(3, -3, x) == -Plm(3, 3, x)/720 + assert Plm(3, -2, x) == Plm(3, 2, x)/120 + assert Plm(3, -1, x) == -Plm(3, 1, x)/12 + + n = Symbol("n") + m = Symbol("m") + X = Plm(n, m, x) + assert isinstance(X, assoc_legendre) + + assert Plm(n, 0, x) == legendre(n, x) + assert Plm(n, m, 0) == 2**m*sqrt(pi)/(gamma(-m/2 - n/2 + + S.Half)*gamma(-m/2 + n/2 + 1)) + + assert diff(Plm(m, n, x), x) == (m*x*assoc_legendre(m, n, x) - + (m + n)*assoc_legendre(m - 1, n, x))/(x**2 - 1) + + _k = Dummy('k') + assert Plm(m, n, x).rewrite(Sum).dummy_eq( + (1 - x**2)**(n/2)*Sum((-1)**_k*2**(-m)*x**(-2*_k + m - n)*factorial + (-2*_k + 2*m)/(factorial(_k)*factorial(-_k + m)*factorial(-2*_k + m + - n)), (_k, 0, floor(m/2 - n/2)))) + assert Plm(m, n, x).rewrite("polynomial").dummy_eq( + (1 - x**2)**(n/2)*Sum((-1)**_k*2**(-m)*x**(-2*_k + m - n)*factorial + (-2*_k + 2*m)/(factorial(_k)*factorial(-_k + m)*factorial(-2*_k + m + - n)), (_k, 0, floor(m/2 - n/2)))) + assert conjugate(assoc_legendre(n, m, x)) == \ + assoc_legendre(n, conjugate(m), conjugate(x)) + raises(ValueError, lambda: Plm(0, 1, x)) + raises(ValueError, lambda: Plm(-1, 1, x)) + raises(ArgumentIndexError, lambda: Plm(n, m, x).fdiff(1)) + raises(ArgumentIndexError, lambda: Plm(n, m, x).fdiff(2)) + raises(ArgumentIndexError, lambda: Plm(n, m, x).fdiff(4)) + + +def test_chebyshev(): + assert chebyshevt(0, x) == 1 + assert chebyshevt(1, x) == x + assert chebyshevt(2, x) == 2*x**2 - 1 + assert chebyshevt(3, x) == 4*x**3 - 3*x + + for n in range(1, 4): + for k in range(n): + z = chebyshevt_root(n, k) + assert chebyshevt(n, z) == 0 + raises(ValueError, lambda: chebyshevt_root(n, n)) + + for n in range(1, 4): + for k in range(n): + z = chebyshevu_root(n, k) + assert chebyshevu(n, z) == 0 + raises(ValueError, lambda: chebyshevu_root(n, n)) + + n = Symbol("n") + X = chebyshevt(n, x) + assert isinstance(X, chebyshevt) + assert unchanged(chebyshevt, n, x) + assert chebyshevt(n, -x) == (-1)**n*chebyshevt(n, x) + assert chebyshevt(-n, x) == chebyshevt(n, x) + + assert chebyshevt(n, 0) == cos(pi*n/2) + assert chebyshevt(n, 1) == 1 + assert chebyshevt(n, oo) is oo + + assert conjugate(chebyshevt(n, x)) == chebyshevt(n, conjugate(x)) + + assert diff(chebyshevt(n, x), x) == n*chebyshevu(n - 1, x) + + X = chebyshevu(n, x) + assert isinstance(X, chebyshevu) + + y = Symbol('y') + assert chebyshevu(n, -x) == (-1)**n*chebyshevu(n, x) + assert chebyshevu(-n, x) == -chebyshevu(n - 2, x) + assert unchanged(chebyshevu, -n + y, x) + + assert chebyshevu(n, 0) == cos(pi*n/2) + assert chebyshevu(n, 1) == n + 1 + assert chebyshevu(n, oo) is oo + + assert conjugate(chebyshevu(n, x)) == chebyshevu(n, conjugate(x)) + + assert diff(chebyshevu(n, x), x) == \ + (-x*chebyshevu(n, x) + (n + 1)*chebyshevt(n + 1, x))/(x**2 - 1) + + _k = Dummy('k') + assert chebyshevt(n, x).rewrite(Sum).dummy_eq(Sum(x**(-2*_k + n) + *(x**2 - 1)**_k*binomial(n, 2*_k), (_k, 0, floor(n/2)))) + assert chebyshevt(n, x).rewrite("polynomial").dummy_eq(Sum(x**(-2*_k + n) + *(x**2 - 1)**_k*binomial(n, 2*_k), (_k, 0, floor(n/2)))) + assert chebyshevu(n, x).rewrite(Sum).dummy_eq(Sum((-1)**_k*(2*x) + **(-2*_k + n)*factorial(-_k + n)/(factorial(_k)* + factorial(-2*_k + n)), (_k, 0, floor(n/2)))) + assert chebyshevu(n, x).rewrite("polynomial").dummy_eq(Sum((-1)**_k*(2*x) + **(-2*_k + n)*factorial(-_k + n)/(factorial(_k)* + factorial(-2*_k + n)), (_k, 0, floor(n/2)))) + raises(ArgumentIndexError, lambda: chebyshevt(n, x).fdiff(1)) + raises(ArgumentIndexError, lambda: chebyshevt(n, x).fdiff(3)) + raises(ArgumentIndexError, lambda: chebyshevu(n, x).fdiff(1)) + raises(ArgumentIndexError, lambda: chebyshevu(n, x).fdiff(3)) + + +def test_hermite(): + assert hermite(0, x) == 1 + assert hermite(1, x) == 2*x + assert hermite(2, x) == 4*x**2 - 2 + assert hermite(3, x) == 8*x**3 - 12*x + assert hermite(4, x) == 16*x**4 - 48*x**2 + 12 + assert hermite(6, x) == 64*x**6 - 480*x**4 + 720*x**2 - 120 + + n = Symbol("n") + assert unchanged(hermite, n, x) + assert hermite(n, -x) == (-1)**n*hermite(n, x) + assert unchanged(hermite, -n, x) + + assert hermite(n, 0) == 2**n*sqrt(pi)/gamma(S.Half - n/2) + assert hermite(n, oo) is oo + + assert conjugate(hermite(n, x)) == hermite(n, conjugate(x)) + + _k = Dummy('k') + assert hermite(n, x).rewrite(Sum).dummy_eq(factorial(n)*Sum((-1) + **_k*(2*x)**(-2*_k + n)/(factorial(_k)*factorial(-2*_k + n)), (_k, + 0, floor(n/2)))) + assert hermite(n, x).rewrite("polynomial").dummy_eq(factorial(n)*Sum((-1) + **_k*(2*x)**(-2*_k + n)/(factorial(_k)*factorial(-2*_k + n)), (_k, + 0, floor(n/2)))) + + assert diff(hermite(n, x), x) == 2*n*hermite(n - 1, x) + assert diff(hermite(n, x), n) == Derivative(hermite(n, x), n) + raises(ArgumentIndexError, lambda: hermite(n, x).fdiff(3)) + + assert hermite(n, x).rewrite(hermite_prob) == \ + sqrt(2)**n * hermite_prob(n, x*sqrt(2)) + + +def test_hermite_prob(): + assert hermite_prob(0, x) == 1 + assert hermite_prob(1, x) == x + assert hermite_prob(2, x) == x**2 - 1 + assert hermite_prob(3, x) == x**3 - 3*x + assert hermite_prob(4, x) == x**4 - 6*x**2 + 3 + assert hermite_prob(6, x) == x**6 - 15*x**4 + 45*x**2 - 15 + + n = Symbol("n") + assert unchanged(hermite_prob, n, x) + assert hermite_prob(n, -x) == (-1)**n*hermite_prob(n, x) + assert unchanged(hermite_prob, -n, x) + + assert hermite_prob(n, 0) == sqrt(pi)/gamma(S.Half - n/2) + assert hermite_prob(n, oo) is oo + + assert conjugate(hermite_prob(n, x)) == hermite_prob(n, conjugate(x)) + + _k = Dummy('k') + assert hermite_prob(n, x).rewrite(Sum).dummy_eq(factorial(n) * + Sum((-S.Half)**_k * x**(n-2*_k) / (factorial(_k) * factorial(n-2*_k)), + (_k, 0, floor(n/2)))) + assert hermite_prob(n, x).rewrite("polynomial").dummy_eq(factorial(n) * + Sum((-S.Half)**_k * x**(n-2*_k) / (factorial(_k) * factorial(n-2*_k)), + (_k, 0, floor(n/2)))) + + assert diff(hermite_prob(n, x), x) == n*hermite_prob(n-1, x) + assert diff(hermite_prob(n, x), n) == Derivative(hermite_prob(n, x), n) + raises(ArgumentIndexError, lambda: hermite_prob(n, x).fdiff(3)) + + assert hermite_prob(n, x).rewrite(hermite) == \ + sqrt(2)**(-n) * hermite(n, x/sqrt(2)) + + +def test_laguerre(): + n = Symbol("n") + m = Symbol("m", negative=True) + + # Laguerre polynomials: + assert laguerre(0, x) == 1 + assert laguerre(1, x) == -x + 1 + assert laguerre(2, x) == x**2/2 - 2*x + 1 + assert laguerre(3, x) == -x**3/6 + 3*x**2/2 - 3*x + 1 + assert laguerre(-2, x) == (x + 1)*exp(x) + + X = laguerre(n, x) + assert isinstance(X, laguerre) + + assert laguerre(n, 0) == 1 + assert laguerre(n, oo) == (-1)**n*oo + assert laguerre(n, -oo) is oo + + assert conjugate(laguerre(n, x)) == laguerre(n, conjugate(x)) + + _k = Dummy('k') + + assert laguerre(n, x).rewrite(Sum).dummy_eq( + Sum(x**_k*RisingFactorial(-n, _k)/factorial(_k)**2, (_k, 0, n))) + assert laguerre(n, x).rewrite("polynomial").dummy_eq( + Sum(x**_k*RisingFactorial(-n, _k)/factorial(_k)**2, (_k, 0, n))) + assert laguerre(m, x).rewrite(Sum).dummy_eq( + exp(x)*Sum((-x)**_k*RisingFactorial(m + 1, _k)/factorial(_k)**2, + (_k, 0, -m - 1))) + assert laguerre(m, x).rewrite("polynomial").dummy_eq( + exp(x)*Sum((-x)**_k*RisingFactorial(m + 1, _k)/factorial(_k)**2, + (_k, 0, -m - 1))) + + assert diff(laguerre(n, x), x) == -assoc_laguerre(n - 1, 1, x) + + k = Symbol('k') + assert laguerre(-n, x) == exp(x)*laguerre(n - 1, -x) + assert laguerre(-3, x) == exp(x)*laguerre(2, -x) + assert unchanged(laguerre, -n + k, x) + + raises(ValueError, lambda: laguerre(-2.1, x)) + raises(ValueError, lambda: laguerre(Rational(5, 2), x)) + raises(ArgumentIndexError, lambda: laguerre(n, x).fdiff(1)) + raises(ArgumentIndexError, lambda: laguerre(n, x).fdiff(3)) + + +def test_assoc_laguerre(): + n = Symbol("n") + m = Symbol("m") + alpha = Symbol("alpha") + + # generalized Laguerre polynomials: + assert assoc_laguerre(0, alpha, x) == 1 + assert assoc_laguerre(1, alpha, x) == -x + alpha + 1 + assert assoc_laguerre(2, alpha, x).expand() == \ + (x**2/2 - (alpha + 2)*x + (alpha + 2)*(alpha + 1)/2).expand() + assert assoc_laguerre(3, alpha, x).expand() == \ + (-x**3/6 + (alpha + 3)*x**2/2 - (alpha + 2)*(alpha + 3)*x/2 + + (alpha + 1)*(alpha + 2)*(alpha + 3)/6).expand() + + # Test the lowest 10 polynomials with laguerre_poly, to make sure it works: + for i in range(10): + assert assoc_laguerre(i, 0, x).expand() == laguerre_poly(i, x) + + X = assoc_laguerre(n, m, x) + assert isinstance(X, assoc_laguerre) + + assert assoc_laguerre(n, 0, x) == laguerre(n, x) + assert assoc_laguerre(n, alpha, 0) == binomial(alpha + n, alpha) + p = Symbol("p", positive=True) + assert assoc_laguerre(p, alpha, oo) == (-1)**p*oo + assert assoc_laguerre(p, alpha, -oo) is oo + + assert diff(assoc_laguerre(n, alpha, x), x) == \ + -assoc_laguerre(n - 1, alpha + 1, x) + _k = Dummy('k') + assert diff(assoc_laguerre(n, alpha, x), alpha).dummy_eq( + Sum(assoc_laguerre(_k, alpha, x)/(-alpha + n), (_k, 0, n - 1))) + + assert conjugate(assoc_laguerre(n, alpha, x)) == \ + assoc_laguerre(n, conjugate(alpha), conjugate(x)) + + assert assoc_laguerre(n, alpha, x).rewrite(Sum).dummy_eq( + gamma(alpha + n + 1)*Sum(x**_k*RisingFactorial(-n, _k)/ + (factorial(_k)*gamma(_k + alpha + 1)), (_k, 0, n))/factorial(n)) + assert assoc_laguerre(n, alpha, x).rewrite("polynomial").dummy_eq( + gamma(alpha + n + 1)*Sum(x**_k*RisingFactorial(-n, _k)/ + (factorial(_k)*gamma(_k + alpha + 1)), (_k, 0, n))/factorial(n)) + raises(ValueError, lambda: assoc_laguerre(-2.1, alpha, x)) + raises(ArgumentIndexError, lambda: assoc_laguerre(n, alpha, x).fdiff(1)) + raises(ArgumentIndexError, lambda: assoc_laguerre(n, alpha, x).fdiff(4)) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/tests/test_spherical_harmonics.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/tests/test_spherical_harmonics.py new file mode 100644 index 0000000000000000000000000000000000000000..2e0d4ffebabb62c13d3fc2996e8ba23866467720 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/tests/test_spherical_harmonics.py @@ -0,0 +1,66 @@ +from sympy.core.function import diff +from sympy.core.numbers import (I, pi) +from sympy.core.symbol import Symbol +from sympy.functions.elementary.complexes import conjugate +from sympy.functions.elementary.exponential import exp +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.trigonometric import (cos, cot, sin) +from sympy.functions.special.spherical_harmonics import Ynm, Znm, Ynm_c + + +def test_Ynm(): + # https://en.wikipedia.org/wiki/Spherical_harmonics + th, ph = Symbol("theta", real=True), Symbol("phi", real=True) + from sympy.abc import n,m + + assert Ynm(0, 0, th, ph).expand(func=True) == 1/(2*sqrt(pi)) + assert Ynm(1, -1, th, ph) == -exp(-2*I*ph)*Ynm(1, 1, th, ph) + assert Ynm(1, -1, th, ph).expand(func=True) == sqrt(6)*sin(th)*exp(-I*ph)/(4*sqrt(pi)) + assert Ynm(1, 0, th, ph).expand(func=True) == sqrt(3)*cos(th)/(2*sqrt(pi)) + assert Ynm(1, 1, th, ph).expand(func=True) == -sqrt(6)*sin(th)*exp(I*ph)/(4*sqrt(pi)) + assert Ynm(2, 0, th, ph).expand(func=True) == 3*sqrt(5)*cos(th)**2/(4*sqrt(pi)) - sqrt(5)/(4*sqrt(pi)) + assert Ynm(2, 1, th, ph).expand(func=True) == -sqrt(30)*sin(th)*exp(I*ph)*cos(th)/(4*sqrt(pi)) + assert Ynm(2, -2, th, ph).expand(func=True) == (-sqrt(30)*exp(-2*I*ph)*cos(th)**2/(8*sqrt(pi)) + + sqrt(30)*exp(-2*I*ph)/(8*sqrt(pi))) + assert Ynm(2, 2, th, ph).expand(func=True) == (-sqrt(30)*exp(2*I*ph)*cos(th)**2/(8*sqrt(pi)) + + sqrt(30)*exp(2*I*ph)/(8*sqrt(pi))) + + assert diff(Ynm(n, m, th, ph), th) == (m*cot(th)*Ynm(n, m, th, ph) + + sqrt((-m + n)*(m + n + 1))*exp(-I*ph)*Ynm(n, m + 1, th, ph)) + assert diff(Ynm(n, m, th, ph), ph) == I*m*Ynm(n, m, th, ph) + + assert conjugate(Ynm(n, m, th, ph)) == (-1)**(2*m)*exp(-2*I*m*ph)*Ynm(n, m, th, ph) + + assert Ynm(n, m, -th, ph) == Ynm(n, m, th, ph) + assert Ynm(n, m, th, -ph) == exp(-2*I*m*ph)*Ynm(n, m, th, ph) + assert Ynm(n, -m, th, ph) == (-1)**m*exp(-2*I*m*ph)*Ynm(n, m, th, ph) + + +def test_Ynm_c(): + th, ph = Symbol("theta", real=True), Symbol("phi", real=True) + from sympy.abc import n,m + + assert Ynm_c(n, m, th, ph) == (-1)**(2*m)*exp(-2*I*m*ph)*Ynm(n, m, th, ph) + + +def test_Znm(): + # https://en.wikipedia.org/wiki/Solid_harmonics#List_of_lowest_functions + th, ph = Symbol("theta", real=True), Symbol("phi", real=True) + + assert Znm(0, 0, th, ph) == Ynm(0, 0, th, ph) + assert Znm(1, -1, th, ph) == (-sqrt(2)*I*(Ynm(1, 1, th, ph) + - exp(-2*I*ph)*Ynm(1, 1, th, ph))/2) + assert Znm(1, 0, th, ph) == Ynm(1, 0, th, ph) + assert Znm(1, 1, th, ph) == (sqrt(2)*(Ynm(1, 1, th, ph) + + exp(-2*I*ph)*Ynm(1, 1, th, ph))/2) + assert Znm(0, 0, th, ph).expand(func=True) == 1/(2*sqrt(pi)) + assert Znm(1, -1, th, ph).expand(func=True) == (sqrt(3)*I*sin(th)*exp(I*ph)/(4*sqrt(pi)) + - sqrt(3)*I*sin(th)*exp(-I*ph)/(4*sqrt(pi))) + assert Znm(1, 0, th, ph).expand(func=True) == sqrt(3)*cos(th)/(2*sqrt(pi)) + assert Znm(1, 1, th, ph).expand(func=True) == (-sqrt(3)*sin(th)*exp(I*ph)/(4*sqrt(pi)) + - sqrt(3)*sin(th)*exp(-I*ph)/(4*sqrt(pi))) + assert Znm(2, -1, th, ph).expand(func=True) == (sqrt(15)*I*sin(th)*exp(I*ph)*cos(th)/(4*sqrt(pi)) + - sqrt(15)*I*sin(th)*exp(-I*ph)*cos(th)/(4*sqrt(pi))) + assert Znm(2, 0, th, ph).expand(func=True) == 3*sqrt(5)*cos(th)**2/(4*sqrt(pi)) - sqrt(5)/(4*sqrt(pi)) + assert Znm(2, 1, th, ph).expand(func=True) == (-sqrt(15)*sin(th)*exp(I*ph)*cos(th)/(4*sqrt(pi)) + - sqrt(15)*sin(th)*exp(-I*ph)*cos(th)/(4*sqrt(pi))) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/tests/test_tensor_functions.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/tests/test_tensor_functions.py new file mode 100644 index 0000000000000000000000000000000000000000..7d4f31c45ae0a60a6f72dc5551794b2110f5ab99 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/tests/test_tensor_functions.py @@ -0,0 +1,145 @@ +from sympy.core.relational import Ne +from sympy.core.symbol import (Dummy, Symbol, symbols) +from sympy.functions.elementary.complexes import (adjoint, conjugate, transpose) +from sympy.functions.elementary.piecewise import Piecewise +from sympy.functions.special.tensor_functions import (Eijk, KroneckerDelta, LeviCivita) + +from sympy.physics.secondquant import evaluate_deltas, F + +x, y = symbols('x y') + + +def test_levicivita(): + assert Eijk(1, 2, 3) == LeviCivita(1, 2, 3) + assert LeviCivita(1, 2, 3) == 1 + assert LeviCivita(int(1), int(2), int(3)) == 1 + assert LeviCivita(1, 3, 2) == -1 + assert LeviCivita(1, 2, 2) == 0 + i, j, k = symbols('i j k') + assert LeviCivita(i, j, k) == LeviCivita(i, j, k, evaluate=False) + assert LeviCivita(i, j, i) == 0 + assert LeviCivita(1, i, i) == 0 + assert LeviCivita(i, j, k).doit() == (j - i)*(k - i)*(k - j)/2 + assert LeviCivita(1, 2, 3, 1) == 0 + assert LeviCivita(4, 5, 1, 2, 3) == 1 + assert LeviCivita(4, 5, 2, 1, 3) == -1 + + assert LeviCivita(i, j, k).is_integer is True + + assert adjoint(LeviCivita(i, j, k)) == LeviCivita(i, j, k) + assert conjugate(LeviCivita(i, j, k)) == LeviCivita(i, j, k) + assert transpose(LeviCivita(i, j, k)) == LeviCivita(i, j, k) + + +def test_kronecker_delta(): + i, j = symbols('i j') + k = Symbol('k', nonzero=True) + assert KroneckerDelta(1, 1) == 1 + assert KroneckerDelta(1, 2) == 0 + assert KroneckerDelta(k, 0) == 0 + assert KroneckerDelta(x, x) == 1 + assert KroneckerDelta(x**2 - y**2, x**2 - y**2) == 1 + assert KroneckerDelta(i, i) == 1 + assert KroneckerDelta(i, i + 1) == 0 + assert KroneckerDelta(0, 0) == 1 + assert KroneckerDelta(0, 1) == 0 + assert KroneckerDelta(i + k, i) == 0 + assert KroneckerDelta(i + k, i + k) == 1 + assert KroneckerDelta(i + k, i + 1 + k) == 0 + assert KroneckerDelta(i, j).subs({"i": 1, "j": 0}) == 0 + assert KroneckerDelta(i, j).subs({"i": 3, "j": 3}) == 1 + + assert KroneckerDelta(i, j)**0 == 1 + for n in range(1, 10): + assert KroneckerDelta(i, j)**n == KroneckerDelta(i, j) + assert KroneckerDelta(i, j)**-n == 1/KroneckerDelta(i, j) + + assert KroneckerDelta(i, j).is_integer is True + + assert adjoint(KroneckerDelta(i, j)) == KroneckerDelta(i, j) + assert conjugate(KroneckerDelta(i, j)) == KroneckerDelta(i, j) + assert transpose(KroneckerDelta(i, j)) == KroneckerDelta(i, j) + # to test if canonical + assert (KroneckerDelta(i, j) == KroneckerDelta(j, i)) == True + + assert KroneckerDelta(i, j).rewrite(Piecewise) == Piecewise((0, Ne(i, j)), (1, True)) + + # Tests with range: + assert KroneckerDelta(i, j, (0, i)).args == (i, j, (0, i)) + assert KroneckerDelta(i, j, (-j, i)).delta_range == (-j, i) + + # If index is out of range, return zero: + assert KroneckerDelta(i, j, (0, i-1)) == 0 + assert KroneckerDelta(-1, j, (0, i-1)) == 0 + assert KroneckerDelta(j, -1, (0, i-1)) == 0 + assert KroneckerDelta(j, i, (0, i-1)) == 0 + + +def test_kronecker_delta_secondquant(): + """secondquant-specific methods""" + D = KroneckerDelta + i, j, v, w = symbols('i j v w', below_fermi=True, cls=Dummy) + a, b, t, u = symbols('a b t u', above_fermi=True, cls=Dummy) + p, q, r, s = symbols('p q r s', cls=Dummy) + + assert D(i, a) == 0 + assert D(i, t) == 0 + + assert D(i, j).is_above_fermi is False + assert D(a, b).is_above_fermi is True + assert D(p, q).is_above_fermi is True + assert D(i, q).is_above_fermi is False + assert D(q, i).is_above_fermi is False + assert D(q, v).is_above_fermi is False + assert D(a, q).is_above_fermi is True + + assert D(i, j).is_below_fermi is True + assert D(a, b).is_below_fermi is False + assert D(p, q).is_below_fermi is True + assert D(p, j).is_below_fermi is True + assert D(q, b).is_below_fermi is False + + assert D(i, j).is_only_above_fermi is False + assert D(a, b).is_only_above_fermi is True + assert D(p, q).is_only_above_fermi is False + assert D(i, q).is_only_above_fermi is False + assert D(q, i).is_only_above_fermi is False + assert D(a, q).is_only_above_fermi is True + + assert D(i, j).is_only_below_fermi is True + assert D(a, b).is_only_below_fermi is False + assert D(p, q).is_only_below_fermi is False + assert D(p, j).is_only_below_fermi is True + assert D(q, b).is_only_below_fermi is False + + assert not D(i, q).indices_contain_equal_information + assert not D(a, q).indices_contain_equal_information + assert D(p, q).indices_contain_equal_information + assert D(a, b).indices_contain_equal_information + assert D(i, j).indices_contain_equal_information + + assert D(q, b).preferred_index == b + assert D(q, b).killable_index == q + assert D(q, t).preferred_index == t + assert D(q, t).killable_index == q + assert D(q, i).preferred_index == i + assert D(q, i).killable_index == q + assert D(q, v).preferred_index == v + assert D(q, v).killable_index == q + assert D(q, p).preferred_index == p + assert D(q, p).killable_index == q + + EV = evaluate_deltas + assert EV(D(a, q)*F(q)) == F(a) + assert EV(D(i, q)*F(q)) == F(i) + assert EV(D(a, q)*F(a)) == D(a, q)*F(a) + assert EV(D(i, q)*F(i)) == D(i, q)*F(i) + assert EV(D(a, b)*F(a)) == F(b) + assert EV(D(a, b)*F(b)) == F(a) + assert EV(D(i, j)*F(i)) == F(j) + assert EV(D(i, j)*F(j)) == F(i) + assert EV(D(p, q)*F(q)) == F(p) + assert EV(D(p, q)*F(p)) == F(q) + assert EV(D(p, j)*D(p, i)*F(i)) == F(j) + assert EV(D(p, j)*D(p, i)*F(j)) == F(i) + assert EV(D(p, q)*D(p, i))*F(i) == D(q, i)*F(i) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/tests/test_zeta_functions.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/tests/test_zeta_functions.py new file mode 100644 index 0000000000000000000000000000000000000000..c2083b0b6e8cb38fde17fb1ede2a34be6338b1dc --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/tests/test_zeta_functions.py @@ -0,0 +1,286 @@ +from sympy.concrete.summations import Sum +from sympy.core.function import expand_func +from sympy.core.numbers import (Float, I, Rational, nan, oo, pi, zoo) +from sympy.core.singleton import S +from sympy.core.symbol import Symbol +from sympy.functions.elementary.complexes import (Abs, polar_lift) +from sympy.functions.elementary.exponential import (exp, exp_polar, log) +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.special.zeta_functions import (dirichlet_eta, lerchphi, polylog, riemann_xi, stieltjes, zeta) +from sympy.series.order import O +from sympy.core.function import ArgumentIndexError +from sympy.functions.combinatorial.numbers import bernoulli, factorial, genocchi, harmonic +from sympy.testing.pytest import raises +from sympy.core.random import (test_derivative_numerically as td, + random_complex_number as randcplx, verify_numerically) + +x = Symbol('x') +a = Symbol('a') +b = Symbol('b', negative=True) +z = Symbol('z') +s = Symbol('s') + + +def test_zeta_eval(): + + assert zeta(nan) is nan + assert zeta(x, nan) is nan + + assert zeta(0) == Rational(-1, 2) + assert zeta(0, x) == S.Half - x + assert zeta(0, b) == S.Half - b + + assert zeta(1) is zoo + assert zeta(1, 2) is zoo + assert zeta(1, -7) is zoo + assert zeta(1, x) is zoo + + assert zeta(2, 1) == pi**2/6 + assert zeta(3, 1) == zeta(3) + + assert zeta(2) == pi**2/6 + assert zeta(4) == pi**4/90 + assert zeta(6) == pi**6/945 + + assert zeta(4, 3) == pi**4/90 - Rational(17, 16) + assert zeta(7, 4) == zeta(7) - Rational(282251, 279936) + assert zeta(S.Half, 2).func == zeta + assert expand_func(zeta(S.Half, 2)) == zeta(S.Half) - 1 + assert zeta(x, 3).func == zeta + assert expand_func(zeta(x, 3)) == zeta(x) - 1 - 1/2**x + + assert zeta(2, 0) is nan + assert zeta(3, -1) is nan + assert zeta(4, -2) is nan + + assert zeta(oo) == 1 + + assert zeta(-1) == Rational(-1, 12) + assert zeta(-2) == 0 + assert zeta(-3) == Rational(1, 120) + assert zeta(-4) == 0 + assert zeta(-5) == Rational(-1, 252) + + assert zeta(-1, 3) == Rational(-37, 12) + assert zeta(-1, 7) == Rational(-253, 12) + assert zeta(-1, -4) == Rational(-121, 12) + assert zeta(-1, -9) == Rational(-541, 12) + + assert zeta(-4, 3) == -17 + assert zeta(-4, -8) == 8772 + + assert zeta(0, 1) == Rational(-1, 2) + assert zeta(0, -1) == Rational(3, 2) + + assert zeta(0, 2) == Rational(-3, 2) + assert zeta(0, -2) == Rational(5, 2) + + assert zeta( + 3).evalf(20).epsilon_eq(Float("1.2020569031595942854", 20), 1e-19) + + +def test_zeta_series(): + assert zeta(x, a).series(a, z, 2) == \ + zeta(x, z) - x*(a-z)*zeta(x+1, z) + O((a-z)**2, (a, z)) + + +def test_dirichlet_eta_eval(): + assert dirichlet_eta(0) == S.Half + assert dirichlet_eta(-1) == Rational(1, 4) + assert dirichlet_eta(1) == log(2) + assert dirichlet_eta(1, S.Half).simplify() == pi/2 + assert dirichlet_eta(1, 2) == 1 - log(2) + assert dirichlet_eta(2) == pi**2/12 + assert dirichlet_eta(4) == pi**4*Rational(7, 720) + assert str(dirichlet_eta(I).evalf(n=10)) == '0.5325931818 + 0.2293848577*I' + assert str(dirichlet_eta(I, I).evalf(n=10)) == '3.462349253 + 0.220285771*I' + + +def test_riemann_xi_eval(): + assert riemann_xi(2) == pi/6 + assert riemann_xi(0) == Rational(1, 2) + assert riemann_xi(1) == Rational(1, 2) + assert riemann_xi(3).rewrite(zeta) == 3*zeta(3)/(2*pi) + assert riemann_xi(4) == pi**2/15 + + +def test_rewriting(): + from sympy.functions.elementary.piecewise import Piecewise + assert isinstance(dirichlet_eta(x).rewrite(zeta), Piecewise) + assert isinstance(dirichlet_eta(x).rewrite(genocchi), Piecewise) + assert zeta(x).rewrite(dirichlet_eta) == dirichlet_eta(x)/(1 - 2**(1 - x)) + assert zeta(x).rewrite(dirichlet_eta, a=2) == zeta(x) + assert verify_numerically(dirichlet_eta(x), dirichlet_eta(x).rewrite(zeta), x) + assert verify_numerically(dirichlet_eta(x), dirichlet_eta(x).rewrite(genocchi), x) + assert verify_numerically(zeta(x), zeta(x).rewrite(dirichlet_eta), x) + + assert zeta(x, a).rewrite(lerchphi) == lerchphi(1, x, a) + assert polylog(s, z).rewrite(lerchphi) == lerchphi(z, s, 1)*z + + assert lerchphi(1, x, a).rewrite(zeta) == zeta(x, a) + assert z*lerchphi(z, s, 1).rewrite(polylog) == polylog(s, z) + + +def test_derivatives(): + from sympy.core.function import Derivative + assert zeta(x, a).diff(x) == Derivative(zeta(x, a), x) + assert zeta(x, a).diff(a) == -x*zeta(x + 1, a) + assert lerchphi( + z, s, a).diff(z) == (lerchphi(z, s - 1, a) - a*lerchphi(z, s, a))/z + assert lerchphi(z, s, a).diff(a) == -s*lerchphi(z, s + 1, a) + assert polylog(s, z).diff(z) == polylog(s - 1, z)/z + + b = randcplx() + c = randcplx() + assert td(zeta(b, x), x) + assert td(polylog(b, z), z) + assert td(lerchphi(c, b, x), x) + assert td(lerchphi(x, b, c), x) + raises(ArgumentIndexError, lambda: lerchphi(c, b, x).fdiff(2)) + raises(ArgumentIndexError, lambda: lerchphi(c, b, x).fdiff(4)) + raises(ArgumentIndexError, lambda: polylog(b, z).fdiff(1)) + raises(ArgumentIndexError, lambda: polylog(b, z).fdiff(3)) + + +def myexpand(func, target): + expanded = expand_func(func) + if target is not None: + return expanded == target + if expanded == func: # it didn't expand + return False + + # check to see that the expanded and original evaluate to the same value + subs = {} + for a in func.free_symbols: + subs[a] = randcplx() + return abs(func.subs(subs).n() + - expanded.replace(exp_polar, exp).subs(subs).n()) < 1e-10 + + +def test_polylog_expansion(): + assert polylog(s, 0) == 0 + assert polylog(s, 1) == zeta(s) + assert polylog(s, -1) == -dirichlet_eta(s) + assert polylog(s, exp_polar(I*pi*Rational(4, 3))) == polylog(s, exp(I*pi*Rational(4, 3))) + assert polylog(s, exp_polar(I*pi)/3) == polylog(s, exp(I*pi)/3) + + assert myexpand(polylog(1, z), -log(1 - z)) + assert myexpand(polylog(0, z), z/(1 - z)) + assert myexpand(polylog(-1, z), z/(1 - z)**2) + assert ((1-z)**3 * expand_func(polylog(-2, z))).simplify() == z*(1 + z) + assert myexpand(polylog(-5, z), None) + + +def test_polylog_series(): + assert polylog(1, z).series(z, n=5) == z + z**2/2 + z**3/3 + z**4/4 + O(z**5) + assert polylog(1, sqrt(z)).series(z, n=3) == z/2 + z**2/4 + sqrt(z)\ + + z**(S(3)/2)/3 + z**(S(5)/2)/5 + O(z**3) + + # https://github.com/sympy/sympy/issues/9497 + assert polylog(S(3)/2, -z).series(z, 0, 5) == -z + sqrt(2)*z**2/4\ + - sqrt(3)*z**3/9 + z**4/8 + O(z**5) + + +def test_issue_8404(): + i = Symbol('i', integer=True) + assert Abs(Sum(1/(3*i + 1)**2, (i, 0, S.Infinity)).doit().n(4) + - 1.122) < 0.001 + + +def test_polylog_values(): + assert polylog(2, 2) == pi**2/4 - I*pi*log(2) + assert polylog(2, S.Half) == pi**2/12 - log(2)**2/2 + for z in [S.Half, 2, (sqrt(5)-1)/2, -(sqrt(5)-1)/2, -(sqrt(5)+1)/2, (3-sqrt(5))/2]: + assert Abs(polylog(2, z).evalf() - polylog(2, z, evaluate=False).evalf()) < 1e-15 + z = Symbol("z") + for s in [-1, 0]: + for _ in range(10): + assert verify_numerically(polylog(s, z), polylog(s, z, evaluate=False), + z, a=-3, b=-2, c=S.Half, d=2) + assert verify_numerically(polylog(s, z), polylog(s, z, evaluate=False), + z, a=2, b=-2, c=5, d=2) + + from sympy.integrals.integrals import Integral + assert polylog(0, Integral(1, (x, 0, 1))) == -S.Half + + +def test_lerchphi_expansion(): + assert myexpand(lerchphi(1, s, a), zeta(s, a)) + assert myexpand(lerchphi(z, s, 1), polylog(s, z)/z) + + # direct summation + assert myexpand(lerchphi(z, -1, a), a/(1 - z) + z/(1 - z)**2) + assert myexpand(lerchphi(z, -3, a), None) + # polylog reduction + assert myexpand(lerchphi(z, s, S.Half), + 2**(s - 1)*(polylog(s, sqrt(z))/sqrt(z) + - polylog(s, polar_lift(-1)*sqrt(z))/sqrt(z))) + assert myexpand(lerchphi(z, s, 2), -1/z + polylog(s, z)/z**2) + assert myexpand(lerchphi(z, s, Rational(3, 2)), None) + assert myexpand(lerchphi(z, s, Rational(7, 3)), None) + assert myexpand(lerchphi(z, s, Rational(-1, 3)), None) + assert myexpand(lerchphi(z, s, Rational(-5, 2)), None) + + # hurwitz zeta reduction + assert myexpand(lerchphi(-1, s, a), + 2**(-s)*zeta(s, a/2) - 2**(-s)*zeta(s, (a + 1)/2)) + assert myexpand(lerchphi(I, s, a), None) + assert myexpand(lerchphi(-I, s, a), None) + assert myexpand(lerchphi(exp(I*pi*Rational(2, 5)), s, a), None) + + +def test_stieltjes(): + assert isinstance(stieltjes(x), stieltjes) + assert isinstance(stieltjes(x, a), stieltjes) + + # Zero'th constant EulerGamma + assert stieltjes(0) == S.EulerGamma + assert stieltjes(0, 1) == S.EulerGamma + + # Not defined + assert stieltjes(nan) is nan + assert stieltjes(0, nan) is nan + assert stieltjes(-1) is S.ComplexInfinity + assert stieltjes(1.5) is S.ComplexInfinity + assert stieltjes(z, 0) is S.ComplexInfinity + assert stieltjes(z, -1) is S.ComplexInfinity + + +def test_stieltjes_evalf(): + assert abs(stieltjes(0).evalf() - 0.577215664) < 1E-9 + assert abs(stieltjes(0, 0.5).evalf() - 1.963510026) < 1E-9 + assert abs(stieltjes(1, 2).evalf() + 0.072815845) < 1E-9 + + +def test_issue_10475(): + a = Symbol('a', extended_real=True) + b = Symbol('b', extended_positive=True) + s = Symbol('s', zero=False) + + assert zeta(2 + I).is_finite + assert zeta(1).is_finite is False + assert zeta(x).is_finite is None + assert zeta(x + I).is_finite is None + assert zeta(a).is_finite is None + assert zeta(b).is_finite is None + assert zeta(-b).is_finite is True + assert zeta(b**2 - 2*b + 1).is_finite is None + assert zeta(a + I).is_finite is True + assert zeta(b + 1).is_finite is True + assert zeta(s + 1).is_finite is True + + +def test_issue_14177(): + n = Symbol('n', nonnegative=True, integer=True) + + assert zeta(-n).rewrite(bernoulli) == bernoulli(n+1) / (-n-1) + assert zeta(-n, a).rewrite(bernoulli) == bernoulli(n+1, a) / (-n-1) + z2n = -(2*I*pi)**(2*n)*bernoulli(2*n) / (2*factorial(2*n)) + assert zeta(2*n).rewrite(bernoulli) == z2n + assert expand_func(zeta(s, n+1)) == zeta(s) - harmonic(n, s) + assert expand_func(zeta(-b, -n)) is nan + assert expand_func(zeta(-b, n)) == zeta(-b, n) + + n = Symbol('n') + + assert zeta(2*n) == zeta(2*n) # As sign of z (= 2*n) is not determined diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/zeta_functions.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/zeta_functions.py new file mode 100644 index 0000000000000000000000000000000000000000..8f410f0f1086de91490c714cd3becf11df9ab189 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/functions/special/zeta_functions.py @@ -0,0 +1,786 @@ +""" Riemann zeta and related function. """ + +from sympy.core.add import Add +from sympy.core.cache import cacheit +from sympy.core.function import ArgumentIndexError, expand_mul, DefinedFunction +from sympy.core.logic import fuzzy_not +from sympy.core.numbers import pi, I, Integer +from sympy.core.relational import Eq +from sympy.core.singleton import S +from sympy.core.symbol import Dummy +from sympy.core.sympify import sympify +from sympy.functions.combinatorial.numbers import bernoulli, factorial, genocchi, harmonic +from sympy.functions.elementary.complexes import re, unpolarify, Abs, polar_lift +from sympy.functions.elementary.exponential import log, exp_polar, exp +from sympy.functions.elementary.integers import ceiling, floor +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.piecewise import Piecewise +from sympy.polys.polytools import Poly + +############################################################################### +###################### LERCH TRANSCENDENT ##################################### +############################################################################### + + +class lerchphi(DefinedFunction): + r""" + Lerch transcendent (Lerch phi function). + + Explanation + =========== + + For $\operatorname{Re}(a) > 0$, $|z| < 1$ and $s \in \mathbb{C}$, the + Lerch transcendent is defined as + + .. math :: \Phi(z, s, a) = \sum_{n=0}^\infty \frac{z^n}{(n + a)^s}, + + where the standard branch of the argument is used for $n + a$, + and by analytic continuation for other values of the parameters. + + A commonly used related function is the Lerch zeta function, defined by + + .. math:: L(q, s, a) = \Phi(e^{2\pi i q}, s, a). + + **Analytic Continuation and Branching Behavior** + + It can be shown that + + .. math:: \Phi(z, s, a) = z\Phi(z, s, a+1) + a^{-s}. + + This provides the analytic continuation to $\operatorname{Re}(a) \le 0$. + + Assume now $\operatorname{Re}(a) > 0$. The integral representation + + .. math:: \Phi_0(z, s, a) = \int_0^\infty \frac{t^{s-1} e^{-at}}{1 - ze^{-t}} + \frac{\mathrm{d}t}{\Gamma(s)} + + provides an analytic continuation to $\mathbb{C} - [1, \infty)$. + Finally, for $x \in (1, \infty)$ we find + + .. math:: \lim_{\epsilon \to 0^+} \Phi_0(x + i\epsilon, s, a) + -\lim_{\epsilon \to 0^+} \Phi_0(x - i\epsilon, s, a) + = \frac{2\pi i \log^{s-1}{x}}{x^a \Gamma(s)}, + + using the standard branch for both $\log{x}$ and + $\log{\log{x}}$ (a branch of $\log{\log{x}}$ is needed to + evaluate $\log{x}^{s-1}$). + This concludes the analytic continuation. The Lerch transcendent is thus + branched at $z \in \{0, 1, \infty\}$ and + $a \in \mathbb{Z}_{\le 0}$. For fixed $z, a$ outside these + branch points, it is an entire function of $s$. + + Examples + ======== + + The Lerch transcendent is a fairly general function, for this reason it does + not automatically evaluate to simpler functions. Use ``expand_func()`` to + achieve this. + + If $z=1$, the Lerch transcendent reduces to the Hurwitz zeta function: + + >>> from sympy import lerchphi, expand_func + >>> from sympy.abc import z, s, a + >>> expand_func(lerchphi(1, s, a)) + zeta(s, a) + + More generally, if $z$ is a root of unity, the Lerch transcendent + reduces to a sum of Hurwitz zeta functions: + + >>> expand_func(lerchphi(-1, s, a)) + zeta(s, a/2)/2**s - zeta(s, a/2 + 1/2)/2**s + + If $a=1$, the Lerch transcendent reduces to the polylogarithm: + + >>> expand_func(lerchphi(z, s, 1)) + polylog(s, z)/z + + More generally, if $a$ is rational, the Lerch transcendent reduces + to a sum of polylogarithms: + + >>> from sympy import S + >>> expand_func(lerchphi(z, s, S(1)/2)) + 2**(s - 1)*(polylog(s, sqrt(z))/sqrt(z) - + polylog(s, sqrt(z)*exp_polar(I*pi))/sqrt(z)) + >>> expand_func(lerchphi(z, s, S(3)/2)) + -2**s/z + 2**(s - 1)*(polylog(s, sqrt(z))/sqrt(z) - + polylog(s, sqrt(z)*exp_polar(I*pi))/sqrt(z))/z + + The derivatives with respect to $z$ and $a$ can be computed in + closed form: + + >>> lerchphi(z, s, a).diff(z) + (-a*lerchphi(z, s, a) + lerchphi(z, s - 1, a))/z + >>> lerchphi(z, s, a).diff(a) + -s*lerchphi(z, s + 1, a) + + See Also + ======== + + polylog, zeta + + References + ========== + + .. [1] Bateman, H.; Erdelyi, A. (1953), Higher Transcendental Functions, + Vol. I, New York: McGraw-Hill. Section 1.11. + .. [2] https://dlmf.nist.gov/25.14 + .. [3] https://en.wikipedia.org/wiki/Lerch_transcendent + + """ + + def _eval_expand_func(self, **hints): + z, s, a = self.args + if z == 1: + return zeta(s, a) + if s.is_Integer and s <= 0: + t = Dummy('t') + p = Poly((t + a)**(-s), t) + start = 1/(1 - t) + res = S.Zero + for c in reversed(p.all_coeffs()): + res += c*start + start = t*start.diff(t) + return res.subs(t, z) + + if a.is_Rational: + # See section 18 of + # Kelly B. Roach. Hypergeometric Function Representations. + # In: Proceedings of the 1997 International Symposium on Symbolic and + # Algebraic Computation, pages 205-211, New York, 1997. ACM. + # TODO should something be polarified here? + add = S.Zero + mul = S.One + # First reduce a to the interaval (0, 1] + if a > 1: + n = floor(a) + if n == a: + n -= 1 + a -= n + mul = z**(-n) + add = Add(*[-z**(k - n)/(a + k)**s for k in range(n)]) + elif a <= 0: + n = floor(-a) + 1 + a += n + mul = z**n + add = Add(*[z**(n - 1 - k)/(a - k - 1)**s for k in range(n)]) + + m, n = S([a.p, a.q]) + zet = exp_polar(2*pi*I/n) + root = z**(1/n) + up_zet = unpolarify(zet) + addargs = [] + for k in range(n): + p = polylog(s, zet**k*root) + if isinstance(p, polylog): + p = p._eval_expand_func(**hints) + addargs.append(p/(up_zet**k*root)**m) + return add + mul*n**(s - 1)*Add(*addargs) + + # TODO use minpoly instead of ad-hoc methods when issue 5888 is fixed + if isinstance(z, exp) and (z.args[0]/(pi*I)).is_Rational or z in [-1, I, -I]: + # TODO reference? + if z == -1: + p, q = S([1, 2]) + elif z == I: + p, q = S([1, 4]) + elif z == -I: + p, q = S([-1, 4]) + else: + arg = z.args[0]/(2*pi*I) + p, q = S([arg.p, arg.q]) + return Add(*[exp(2*pi*I*k*p/q)/q**s*zeta(s, (k + a)/q) + for k in range(q)]) + + return lerchphi(z, s, a) + + def fdiff(self, argindex=1): + z, s, a = self.args + if argindex == 3: + return -s*lerchphi(z, s + 1, a) + elif argindex == 1: + return (lerchphi(z, s - 1, a) - a*lerchphi(z, s, a))/z + else: + raise ArgumentIndexError + + def _eval_rewrite_helper(self, target): + res = self._eval_expand_func() + if res.has(target): + return res + else: + return self + + def _eval_rewrite_as_zeta(self, z, s, a, **kwargs): + return self._eval_rewrite_helper(zeta) + + def _eval_rewrite_as_polylog(self, z, s, a, **kwargs): + return self._eval_rewrite_helper(polylog) + +############################################################################### +###################### POLYLOGARITHM ########################################## +############################################################################### + + +class polylog(DefinedFunction): + r""" + Polylogarithm function. + + Explanation + =========== + + For $|z| < 1$ and $s \in \mathbb{C}$, the polylogarithm is + defined by + + .. math:: \operatorname{Li}_s(z) = \sum_{n=1}^\infty \frac{z^n}{n^s}, + + where the standard branch of the argument is used for $n$. It admits + an analytic continuation which is branched at $z=1$ (notably not on the + sheet of initial definition), $z=0$ and $z=\infty$. + + The name polylogarithm comes from the fact that for $s=1$, the + polylogarithm is related to the ordinary logarithm (see examples), and that + + .. math:: \operatorname{Li}_{s+1}(z) = + \int_0^z \frac{\operatorname{Li}_s(t)}{t} \mathrm{d}t. + + The polylogarithm is a special case of the Lerch transcendent: + + .. math:: \operatorname{Li}_{s}(z) = z \Phi(z, s, 1). + + Examples + ======== + + For $z \in \{0, 1, -1\}$, the polylogarithm is automatically expressed + using other functions: + + >>> from sympy import polylog + >>> from sympy.abc import s + >>> polylog(s, 0) + 0 + >>> polylog(s, 1) + zeta(s) + >>> polylog(s, -1) + -dirichlet_eta(s) + + If $s$ is a negative integer, $0$ or $1$, the polylogarithm can be + expressed using elementary functions. This can be done using + ``expand_func()``: + + >>> from sympy import expand_func + >>> from sympy.abc import z + >>> expand_func(polylog(1, z)) + -log(1 - z) + >>> expand_func(polylog(0, z)) + z/(1 - z) + + The derivative with respect to $z$ can be computed in closed form: + + >>> polylog(s, z).diff(z) + polylog(s - 1, z)/z + + The polylogarithm can be expressed in terms of the lerch transcendent: + + >>> from sympy import lerchphi + >>> polylog(s, z).rewrite(lerchphi) + z*lerchphi(z, s, 1) + + See Also + ======== + + zeta, lerchphi + + """ + + @classmethod + def eval(cls, s, z): + if z.is_number: + if z is S.One: + return zeta(s) + elif z is S.NegativeOne: + return -dirichlet_eta(s) + elif z is S.Zero: + return S.Zero + elif s == 2: + dilogtable = _dilogtable() + if z in dilogtable: + return dilogtable[z] + + if z.is_zero: + return S.Zero + + # Make an effort to determine if z is 1 to avoid replacing into + # expression with singularity + zone = z.equals(S.One) + + if zone: + return zeta(s) + elif zone is False: + # For s = 0 or -1 use explicit formulas to evaluate, but + # automatically expanding polylog(1, z) to -log(1-z) seems + # undesirable for summation methods based on hypergeometric + # functions + if s is S.Zero: + return z/(1 - z) + elif s is S.NegativeOne: + return z/(1 - z)**2 + if s.is_zero: + return z/(1 - z) + + # polylog is branched, but not over the unit disk + if z.has(exp_polar, polar_lift) and (zone or (Abs(z) <= S.One) == True): + return cls(s, unpolarify(z)) + + def fdiff(self, argindex=1): + s, z = self.args + if argindex == 2: + return polylog(s - 1, z)/z + raise ArgumentIndexError + + def _eval_rewrite_as_lerchphi(self, s, z, **kwargs): + return z*lerchphi(z, s, 1) + + def _eval_expand_func(self, **hints): + s, z = self.args + if s == 1: + return -log(1 - z) + if s.is_Integer and s <= 0: + u = Dummy('u') + start = u/(1 - u) + for _ in range(-s): + start = u*start.diff(u) + return expand_mul(start).subs(u, z) + return polylog(s, z) + + def _eval_is_zero(self): + z = self.args[1] + if z.is_zero: + return True + + def _eval_nseries(self, x, n, logx, cdir=0): + from sympy.series.order import Order + nu, z = self.args + + z0 = z.subs(x, 0) + if z0 is S.NaN: + z0 = z.limit(x, 0, dir='-' if re(cdir).is_negative else '+') + + if z0.is_zero: + # In case of powers less than 1, number of terms need to be computed + # separately to avoid repeated callings of _eval_nseries with wrong n + try: + _, exp = z.leadterm(x) + except (ValueError, NotImplementedError): + return self + + if exp.is_positive: + newn = ceiling(n/exp) + o = Order(x**n, x) + r = z._eval_nseries(x, n, logx, cdir).removeO() + if r is S.Zero: + return o + + term = r + s = [term] + for k in range(2, newn): + term *= r + s.append(term/k**nu) + return Add(*s) + o + + return super(polylog, self)._eval_nseries(x, n, logx, cdir) + +############################################################################### +###################### HURWITZ GENERALIZED ZETA FUNCTION ###################### +############################################################################### + + +class zeta(DefinedFunction): + r""" + Hurwitz zeta function (or Riemann zeta function). + + Explanation + =========== + + For $\operatorname{Re}(a) > 0$ and $\operatorname{Re}(s) > 1$, this + function is defined as + + .. math:: \zeta(s, a) = \sum_{n=0}^\infty \frac{1}{(n + a)^s}, + + where the standard choice of argument for $n + a$ is used. For fixed + $a$ not a nonpositive integer the Hurwitz zeta function admits a + meromorphic continuation to all of $\mathbb{C}$; it is an unbranched + function with a simple pole at $s = 1$. + + The Hurwitz zeta function is a special case of the Lerch transcendent: + + .. math:: \zeta(s, a) = \Phi(1, s, a). + + This formula defines an analytic continuation for all possible values of + $s$ and $a$ (also $\operatorname{Re}(a) < 0$), see the documentation of + :class:`lerchphi` for a description of the branching behavior. + + If no value is passed for $a$ a default value of $a = 1$ is assumed, + yielding the Riemann zeta function. + + Examples + ======== + + For $a = 1$ the Hurwitz zeta function reduces to the famous Riemann + zeta function: + + .. math:: \zeta(s, 1) = \zeta(s) = \sum_{n=1}^\infty \frac{1}{n^s}. + + >>> from sympy import zeta + >>> from sympy.abc import s + >>> zeta(s, 1) + zeta(s) + >>> zeta(s) + zeta(s) + + The Riemann zeta function can also be expressed using the Dirichlet eta + function: + + >>> from sympy import dirichlet_eta + >>> zeta(s).rewrite(dirichlet_eta) + dirichlet_eta(s)/(1 - 2**(1 - s)) + + The Riemann zeta function at nonnegative even and negative integer + values is related to the Bernoulli numbers and polynomials: + + >>> zeta(2) + pi**2/6 + >>> zeta(4) + pi**4/90 + >>> zeta(0) + -1/2 + >>> zeta(-1) + -1/12 + >>> zeta(-4) + 0 + + The specific formulae are: + + .. math:: \zeta(2n) = -\frac{(2\pi i)^{2n} B_{2n}}{2(2n)!} + .. math:: \zeta(-n,a) = -\frac{B_{n+1}(a)}{n+1} + + No closed-form expressions are known at positive odd integers, but + numerical evaluation is possible: + + >>> zeta(3).n() + 1.20205690315959 + + The derivative of $\zeta(s, a)$ with respect to $a$ can be computed: + + >>> from sympy.abc import a + >>> zeta(s, a).diff(a) + -s*zeta(s + 1, a) + + However the derivative with respect to $s$ has no useful closed form + expression: + + >>> zeta(s, a).diff(s) + Derivative(zeta(s, a), s) + + The Hurwitz zeta function can be expressed in terms of the Lerch + transcendent, :class:`~.lerchphi`: + + >>> from sympy import lerchphi + >>> zeta(s, a).rewrite(lerchphi) + lerchphi(1, s, a) + + See Also + ======== + + dirichlet_eta, lerchphi, polylog + + References + ========== + + .. [1] https://dlmf.nist.gov/25.11 + .. [2] https://en.wikipedia.org/wiki/Hurwitz_zeta_function + + """ + + @classmethod + def eval(cls, s, a=None): + if a is S.One: + return cls(s) + elif s is S.NaN or a is S.NaN: + return S.NaN + elif s is S.One: + return S.ComplexInfinity + elif s is S.Infinity: + return S.One + elif a is S.Infinity: + return S.Zero + + sint = s.is_Integer + if a is None: + a = S.One + if sint and s.is_nonpositive: + return bernoulli(1-s, a) / (s-1) + elif a is S.One: + if sint and s.is_even: + return -(2*pi*I)**s * bernoulli(s) / (2*factorial(s)) + elif sint and a.is_Integer and a.is_positive: + return cls(s) - harmonic(a-1, s) + elif a.is_Integer and a.is_nonpositive and \ + (s.is_integer is False or s.is_nonpositive is False): + return S.NaN + + def _eval_rewrite_as_bernoulli(self, s, a=1, **kwargs): + if a == 1 and s.is_integer and s.is_nonnegative and s.is_even: + return -(2*pi*I)**s * bernoulli(s) / (2*factorial(s)) + return bernoulli(1-s, a) / (s-1) + + def _eval_rewrite_as_dirichlet_eta(self, s, a=1, **kwargs): + if a != 1: + return self + s = self.args[0] + return dirichlet_eta(s)/(1 - 2**(1 - s)) + + def _eval_rewrite_as_lerchphi(self, s, a=1, **kwargs): + return lerchphi(1, s, a) + + def _eval_is_finite(self): + return fuzzy_not((self.args[0] - 1).is_zero) + + def _eval_expand_func(self, **hints): + s = self.args[0] + a = self.args[1] if len(self.args) > 1 else S.One + if a.is_integer: + if a.is_positive: + return zeta(s) - harmonic(a-1, s) + if a.is_nonpositive and (s.is_integer is False or + s.is_nonpositive is False): + return S.NaN + return self + + def fdiff(self, argindex=1): + if len(self.args) == 2: + s, a = self.args + else: + s, a = self.args + (1,) + if argindex == 2: + return -s*zeta(s + 1, a) + else: + raise ArgumentIndexError + + def _eval_as_leading_term(self, x, logx, cdir): + if len(self.args) == 2: + s, a = self.args + else: + s, a = self.args + (S.One,) + + try: + c, e = a.leadterm(x) + except NotImplementedError: + return self + + if e.is_negative and not s.is_positive: + raise NotImplementedError + + return super(zeta, self)._eval_as_leading_term(x, logx=logx, cdir=cdir) + + +class dirichlet_eta(DefinedFunction): + r""" + Dirichlet eta function. + + Explanation + =========== + + For $\operatorname{Re}(s) > 0$ and $0 < x \le 1$, this function is defined as + + .. math:: \eta(s, a) = \sum_{n=0}^\infty \frac{(-1)^n}{(n+a)^s}. + + It admits a unique analytic continuation to all of $\mathbb{C}$ for any + fixed $a$ not a nonpositive integer. It is an entire, unbranched function. + + It can be expressed using the Hurwitz zeta function as + + .. math:: \eta(s, a) = \zeta(s,a) - 2^{1-s} \zeta\left(s, \frac{a+1}{2}\right) + + and using the generalized Genocchi function as + + .. math:: \eta(s, a) = \frac{G(1-s, a)}{2(s-1)}. + + In both cases the limiting value of $\log2 - \psi(a) + \psi\left(\frac{a+1}{2}\right)$ + is used when $s = 1$. + + Examples + ======== + + >>> from sympy import dirichlet_eta, zeta + >>> from sympy.abc import s + >>> dirichlet_eta(s).rewrite(zeta) + Piecewise((log(2), Eq(s, 1)), ((1 - 2**(1 - s))*zeta(s), True)) + + See Also + ======== + + zeta + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Dirichlet_eta_function + .. [2] Peter Luschny, "An introduction to the Bernoulli function", + https://arxiv.org/abs/2009.06743 + + """ + + @classmethod + def eval(cls, s, a=None): + if a is S.One: + return cls(s) + if a is None: + if s == 1: + return log(2) + z = zeta(s) + if not z.has(zeta): + return (1 - 2**(1-s)) * z + return + elif s == 1: + from sympy.functions.special.gamma_functions import digamma + return log(2) - digamma(a) + digamma((a+1)/2) + z1 = zeta(s, a) + z2 = zeta(s, (a+1)/2) + if not z1.has(zeta) and not z2.has(zeta): + return z1 - 2**(1-s) * z2 + + def _eval_rewrite_as_zeta(self, s, a=1, **kwargs): + from sympy.functions.special.gamma_functions import digamma + if a == 1: + return Piecewise((log(2), Eq(s, 1)), ((1 - 2**(1-s)) * zeta(s), True)) + return Piecewise((log(2) - digamma(a) + digamma((a+1)/2), Eq(s, 1)), + (zeta(s, a) - 2**(1-s) * zeta(s, (a+1)/2), True)) + + def _eval_rewrite_as_genocchi(self, s, a=S.One, **kwargs): + from sympy.functions.special.gamma_functions import digamma + return Piecewise((log(2) - digamma(a) + digamma((a+1)/2), Eq(s, 1)), + (genocchi(1-s, a) / (2 * (s-1)), True)) + + def _eval_evalf(self, prec): + if all(i.is_number for i in self.args): + return self.rewrite(zeta)._eval_evalf(prec) + + +class riemann_xi(DefinedFunction): + r""" + Riemann Xi function. + + Examples + ======== + + The Riemann Xi function is closely related to the Riemann zeta function. + The zeros of Riemann Xi function are precisely the non-trivial zeros + of the zeta function. + + >>> from sympy import riemann_xi, zeta + >>> from sympy.abc import s + >>> riemann_xi(s).rewrite(zeta) + s*(s - 1)*gamma(s/2)*zeta(s)/(2*pi**(s/2)) + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Riemann_Xi_function + + """ + + + @classmethod + def eval(cls, s): + from sympy.functions.special.gamma_functions import gamma + z = zeta(s) + if s in (S.Zero, S.One): + return S.Half + + if not isinstance(z, zeta): + return s*(s - 1)*gamma(s/2)*z/(2*pi**(s/2)) + + def _eval_rewrite_as_zeta(self, s, **kwargs): + from sympy.functions.special.gamma_functions import gamma + return s*(s - 1)*gamma(s/2)*zeta(s)/(2*pi**(s/2)) + + +class stieltjes(DefinedFunction): + r""" + Represents Stieltjes constants, $\gamma_{k}$ that occur in + Laurent Series expansion of the Riemann zeta function. + + Examples + ======== + + >>> from sympy import stieltjes + >>> from sympy.abc import n, m + >>> stieltjes(n) + stieltjes(n) + + The zero'th stieltjes constant: + + >>> stieltjes(0) + EulerGamma + >>> stieltjes(0, 1) + EulerGamma + + For generalized stieltjes constants: + + >>> stieltjes(n, m) + stieltjes(n, m) + + Constants are only defined for integers >= 0: + + >>> stieltjes(-1) + zoo + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Stieltjes_constants + + """ + + @classmethod + def eval(cls, n, a=None): + if a is not None: + a = sympify(a) + if a is S.NaN: + return S.NaN + if a.is_Integer and a.is_nonpositive: + return S.ComplexInfinity + + if n.is_Number: + if n is S.NaN: + return S.NaN + elif n < 0: + return S.ComplexInfinity + elif not n.is_Integer: + return S.ComplexInfinity + elif n is S.Zero and a in [None, 1]: + return S.EulerGamma + + if n.is_extended_negative: + return S.ComplexInfinity + + if n.is_zero and a in [None, 1]: + return S.EulerGamma + + if n.is_integer == False: + return S.ComplexInfinity + + +@cacheit +def _dilogtable(): + return { + S.Half: pi**2/12 - log(2)**2/2, + Integer(2) : pi**2/4 - I*pi*log(2), + -(sqrt(5) - 1)/2 : -pi**2/15 + log((sqrt(5)-1)/2)**2/2, + -(sqrt(5) + 1)/2 : -pi**2/10 - log((sqrt(5)+1)/2)**2, + (3 - sqrt(5))/2 : pi**2/15 - log((sqrt(5)-1)/2)**2, + (sqrt(5) - 1)/2 : pi**2/10 - log((sqrt(5)-1)/2)**2, + I : I*S.Catalan - pi**2/48, + -I : 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b/tool_server/.venv/lib/python3.12/site-packages/sympy/geometry/tests/__pycache__/test_util.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..846336c770628c2d93e4dda128b8649d98bd51a1 Binary files /dev/null and b/tool_server/.venv/lib/python3.12/site-packages/sympy/geometry/tests/__pycache__/test_util.cpython-312.pyc differ diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/geometry/tests/test_curve.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/geometry/tests/test_curve.py new file mode 100644 index 0000000000000000000000000000000000000000..50aa80273a1d8eb9e414a8d591571f3127352dad --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/geometry/tests/test_curve.py @@ -0,0 +1,120 @@ +from sympy.core.containers import Tuple +from sympy.core.numbers import (Rational, pi) +from sympy.core.singleton import S +from sympy.core.symbol import (Symbol, symbols) +from sympy.functions.elementary.hyperbolic import asinh +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.geometry import Curve, Line, Point, Ellipse, Ray, Segment, Circle, Polygon, RegularPolygon +from sympy.testing.pytest import raises, slow + + +def test_curve(): + x = Symbol('x', real=True) + s = Symbol('s') + z = Symbol('z') + + # this curve is independent of the indicated parameter + c = Curve([2*s, s**2], (z, 0, 2)) + + assert c.parameter == z + assert c.functions == (2*s, s**2) + assert c.arbitrary_point() == Point(2*s, s**2) + assert c.arbitrary_point(z) == Point(2*s, s**2) + + # this is how it is normally used + c = Curve([2*s, s**2], (s, 0, 2)) + + assert c.parameter == s + assert c.functions == (2*s, s**2) + t = Symbol('t') + # the t returned as assumptions + assert c.arbitrary_point() != Point(2*t, t**2) + t = Symbol('t', real=True) + # now t has the same assumptions so the test passes + assert c.arbitrary_point() == Point(2*t, t**2) + assert c.arbitrary_point(z) == Point(2*z, z**2) + assert c.arbitrary_point(c.parameter) == Point(2*s, s**2) + assert c.arbitrary_point(None) == Point(2*s, s**2) + assert c.plot_interval() == [t, 0, 2] + assert c.plot_interval(z) == [z, 0, 2] + + assert Curve([x, x], (x, 0, 1)).rotate(pi/2) == Curve([-x, x], (x, 0, 1)) + assert Curve([x, x], (x, 0, 1)).rotate(pi/2, (1, 2)).scale(2, 3).translate( + 1, 3).arbitrary_point(s) == \ + Line((0, 0), (1, 1)).rotate(pi/2, (1, 2)).scale(2, 3).translate( + 1, 3).arbitrary_point(s) == \ + Point(-2*s + 7, 3*s + 6) + + raises(ValueError, lambda: Curve((s), (s, 1, 2))) + raises(ValueError, lambda: Curve((x, x * 2), (1, x))) + + raises(ValueError, lambda: Curve((s, s + t), (s, 1, 2)).arbitrary_point()) + raises(ValueError, lambda: Curve((s, s + t), (t, 1, 2)).arbitrary_point(s)) + + +@slow +def test_free_symbols(): + a, b, c, d, e, f, s = symbols('a:f,s') + assert Point(a, b).free_symbols == {a, b} + assert Line((a, b), (c, d)).free_symbols == {a, b, c, d} + assert Ray((a, b), (c, d)).free_symbols == {a, b, c, d} + assert Ray((a, b), angle=c).free_symbols == {a, b, c} + assert Segment((a, b), (c, d)).free_symbols == {a, b, c, d} + assert Line((a, b), slope=c).free_symbols == {a, b, c} + assert Curve((a*s, b*s), (s, c, d)).free_symbols == {a, b, c, d} + assert Ellipse((a, b), c, d).free_symbols == {a, b, c, d} + assert Ellipse((a, b), c, eccentricity=d).free_symbols == \ + {a, b, c, d} + assert Ellipse((a, b), vradius=c, eccentricity=d).free_symbols == \ + {a, b, c, d} + assert Circle((a, b), c).free_symbols == {a, b, c} + assert Circle((a, b), (c, d), (e, f)).free_symbols == \ + {e, d, c, b, f, a} + assert Polygon((a, b), (c, d), (e, f)).free_symbols == \ + {e, b, d, f, a, c} + assert RegularPolygon((a, b), c, d, e).free_symbols == {e, a, b, c, d} + + +def test_transform(): + x = Symbol('x', real=True) + y = Symbol('y', real=True) + c = Curve((x, x**2), (x, 0, 1)) + cout = Curve((2*x - 4, 3*x**2 - 10), (x, 0, 1)) + pts = [Point(0, 0), Point(S.Half, Rational(1, 4)), Point(1, 1)] + pts_out = [Point(-4, -10), Point(-3, Rational(-37, 4)), Point(-2, -7)] + + assert c.scale(2, 3, (4, 5)) == cout + assert [c.subs(x, xi/2) for xi in Tuple(0, 1, 2)] == pts + assert [cout.subs(x, xi/2) for xi in Tuple(0, 1, 2)] == pts_out + assert Curve((x + y, 3*x), (x, 0, 1)).subs(y, S.Half) == \ + Curve((x + S.Half, 3*x), (x, 0, 1)) + assert Curve((x, 3*x), (x, 0, 1)).translate(4, 5) == \ + Curve((x + 4, 3*x + 5), (x, 0, 1)) + + +def test_length(): + t = Symbol('t', real=True) + + c1 = Curve((t, 0), (t, 0, 1)) + assert c1.length == 1 + + c2 = Curve((t, t), (t, 0, 1)) + assert c2.length == sqrt(2) + + c3 = Curve((t ** 2, t), (t, 2, 5)) + assert c3.length == -sqrt(17) - asinh(4) / 4 + asinh(10) / 4 + 5 * sqrt(101) / 2 + + +def test_parameter_value(): + t = Symbol('t') + C = Curve([2*t, t**2], (t, 0, 2)) + assert C.parameter_value((2, 1), t) == {t: 1} + raises(ValueError, lambda: C.parameter_value((2, 0), t)) + + +def test_issue_17997(): + t, s = symbols('t s') + c = Curve((t, t**2), (t, 0, 10)) + p = Curve([2*s, s**2], (s, 0, 2)) + assert c(2) == Point(2, 4) + assert p(1) == Point(2, 1) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/geometry/tests/test_ellipse.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/geometry/tests/test_ellipse.py new file mode 100644 index 0000000000000000000000000000000000000000..a79eba8c35771bda9f0980aca68d937f8e625c0a --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/geometry/tests/test_ellipse.py @@ -0,0 +1,613 @@ +from sympy.core import expand +from sympy.core.numbers import (Rational, oo, pi) +from sympy.core.relational import Eq +from sympy.core.singleton import S +from sympy.core.symbol import (Symbol, symbols) +from sympy.functions.elementary.complexes import Abs +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.trigonometric import sec +from sympy.geometry.line import Segment2D +from sympy.geometry.point import Point2D +from sympy.geometry import (Circle, Ellipse, GeometryError, Line, Point, + Polygon, Ray, RegularPolygon, Segment, + Triangle, intersection) +from sympy.testing.pytest import raises, slow +from sympy.integrals.integrals import integrate +from sympy.functions.special.elliptic_integrals import elliptic_e +from sympy.functions.elementary.miscellaneous import Max + + +def test_ellipse_equation_using_slope(): + from sympy.abc import x, y + + e1 = Ellipse(Point(1, 0), 3, 2) + assert str(e1.equation(_slope=1)) == str((-x + y + 1)**2/8 + (x + y - 1)**2/18 - 1) + + e2 = Ellipse(Point(0, 0), 4, 1) + assert str(e2.equation(_slope=1)) == str((-x + y)**2/2 + (x + y)**2/32 - 1) + + e3 = Ellipse(Point(1, 5), 6, 2) + assert str(e3.equation(_slope=2)) == str((-2*x + y - 3)**2/20 + (x + 2*y - 11)**2/180 - 1) + + +def test_object_from_equation(): + from sympy.abc import x, y, a, b, c, d, e + assert Circle(x**2 + y**2 + 3*x + 4*y - 8) == Circle(Point2D(S(-3) / 2, -2), sqrt(57) / 2) + assert Circle(x**2 + y**2 + 6*x + 8*y + 25) == Circle(Point2D(-3, -4), 0) + assert Circle(a**2 + b**2 + 6*a + 8*b + 25, x='a', y='b') == Circle(Point2D(-3, -4), 0) + assert Circle(x**2 + y**2 - 25) == Circle(Point2D(0, 0), 5) + assert Circle(x**2 + y**2) == Circle(Point2D(0, 0), 0) + assert Circle(a**2 + b**2, x='a', y='b') == Circle(Point2D(0, 0), 0) + assert Circle(x**2 + y**2 + 6*x + 8) == Circle(Point2D(-3, 0), 1) + assert Circle(x**2 + y**2 + 6*y + 8) == Circle(Point2D(0, -3), 1) + assert Circle((x - 1)**2 + y**2 - 9) == Circle(Point2D(1, 0), 3) + assert Circle(6*(x**2) + 6*(y**2) + 6*x + 8*y - 25) == Circle(Point2D(Rational(-1, 2), Rational(-2, 3)), 5*sqrt(7)/6) + assert Circle(Eq(a**2 + b**2, 25), x='a', y=b) == Circle(Point2D(0, 0), 5) + raises(GeometryError, lambda: Circle(x**2 + y**2 + 3*x + 4*y + 26)) + raises(GeometryError, lambda: Circle(x**2 + y**2 + 25)) + raises(GeometryError, lambda: Circle(a**2 + b**2 + 25, x='a', y='b')) + raises(GeometryError, lambda: Circle(x**2 + 6*y + 8)) + raises(GeometryError, lambda: Circle(6*(x ** 2) + 4*(y**2) + 6*x + 8*y + 25)) + raises(ValueError, lambda: Circle(a**2 + b**2 + 3*a + 4*b - 8)) + # .equation() adds 'real=True' assumption; '==' would fail if assumptions differed + x, y = symbols('x y', real=True) + eq = a*x**2 + a*y**2 + c*x + d*y + e + assert expand(Circle(eq).equation()*a) == eq + + +@slow +def test_ellipse_geom(): + x = Symbol('x', real=True) + y = Symbol('y', real=True) + t = Symbol('t', real=True) + y1 = Symbol('y1', real=True) + half = S.Half + p1 = Point(0, 0) + p2 = Point(1, 1) + p4 = Point(0, 1) + + e1 = Ellipse(p1, 1, 1) + e2 = Ellipse(p2, half, 1) + e3 = Ellipse(p1, y1, y1) + c1 = Circle(p1, 1) + c2 = Circle(p2, 1) + c3 = Circle(Point(sqrt(2), sqrt(2)), 1) + l1 = Line(p1, p2) + + # Test creation with three points + cen, rad = Point(3*half, 2), 5*half + assert Circle(Point(0, 0), Point(3, 0), Point(0, 4)) == Circle(cen, rad) + assert Circle(Point(0, 0), Point(1, 1), Point(2, 2)) == Segment2D(Point2D(0, 0), Point2D(2, 2)) + + raises(ValueError, lambda: Ellipse(None, None, None, 1)) + raises(ValueError, lambda: Ellipse()) + raises(GeometryError, lambda: Circle(Point(0, 0))) + raises(GeometryError, lambda: Circle(Symbol('x')*Symbol('y'))) + + # Basic Stuff + assert Ellipse(None, 1, 1).center == Point(0, 0) + assert e1 == c1 + assert e1 != e2 + assert e1 != l1 + assert p4 in e1 + assert e1 in e1 + assert e2 in e2 + assert 1 not in e2 + assert p2 not in e2 + assert e1.area == pi + assert e2.area == pi/2 + assert e3.area == pi*y1*abs(y1) + assert c1.area == e1.area + assert c1.circumference == e1.circumference + assert e3.circumference == 2*pi*y1 + assert e1.plot_interval() == e2.plot_interval() == [t, -pi, pi] + assert e1.plot_interval(x) == e2.plot_interval(x) == [x, -pi, pi] + + assert c1.minor == 1 + assert c1.major == 1 + assert c1.hradius == 1 + assert c1.vradius == 1 + + assert Ellipse((1, 1), 0, 0) == Point(1, 1) + assert Ellipse((1, 1), 1, 0) == Segment(Point(0, 1), Point(2, 1)) + assert Ellipse((1, 1), 0, 1) == Segment(Point(1, 0), Point(1, 2)) + + # Private Functions + assert hash(c1) == hash(Circle(Point(1, 0), Point(0, 1), Point(0, -1))) + assert c1 in e1 + assert (Line(p1, p2) in e1) is False + assert e1.__cmp__(e1) == 0 + assert e1.__cmp__(Point(0, 0)) > 0 + + # Encloses + assert e1.encloses(Segment(Point(-0.5, -0.5), Point(0.5, 0.5))) is True + assert e1.encloses(Line(p1, p2)) is False + assert e1.encloses(Ray(p1, p2)) is False + assert e1.encloses(e1) is False + assert e1.encloses( + Polygon(Point(-0.5, -0.5), Point(-0.5, 0.5), Point(0.5, 0.5))) is True + assert e1.encloses(RegularPolygon(p1, 0.5, 3)) is True + assert e1.encloses(RegularPolygon(p1, 5, 3)) is False + assert e1.encloses(RegularPolygon(p2, 5, 3)) is False + + assert e2.arbitrary_point() in e2 + raises(ValueError, lambda: Ellipse(Point(x, y), 1, 1).arbitrary_point(parameter='x')) + + # Foci + f1, f2 = Point(sqrt(12), 0), Point(-sqrt(12), 0) + ef = Ellipse(Point(0, 0), 4, 2) + assert ef.foci in [(f1, f2), (f2, f1)] + + # Tangents + v = sqrt(2) / 2 + p1_1 = Point(v, v) + p1_2 = p2 + Point(half, 0) + p1_3 = p2 + Point(0, 1) + assert e1.tangent_lines(p4) == c1.tangent_lines(p4) + assert e2.tangent_lines(p1_2) == [Line(Point(Rational(3, 2), 1), Point(Rational(3, 2), S.Half))] + assert e2.tangent_lines(p1_3) == [Line(Point(1, 2), Point(Rational(5, 4), 2))] + assert c1.tangent_lines(p1_1) != [Line(p1_1, Point(0, sqrt(2)))] + assert c1.tangent_lines(p1) == [] + assert e2.is_tangent(Line(p1_2, p2 + Point(half, 1))) + assert e2.is_tangent(Line(p1_3, p2 + Point(half, 1))) + assert c1.is_tangent(Line(p1_1, Point(0, sqrt(2)))) + assert e1.is_tangent(Line(Point(0, 0), Point(1, 1))) is False + assert c1.is_tangent(e1) is True + assert c1.is_tangent(Ellipse(Point(2, 0), 1, 1)) is True + assert c1.is_tangent( + Polygon(Point(1, 1), Point(1, -1), Point(2, 0))) is False + assert c1.is_tangent( + Polygon(Point(1, 1), Point(1, 0), Point(2, 0))) is False + assert Circle(Point(5, 5), 3).is_tangent(Circle(Point(0, 5), 1)) is False + + assert Ellipse(Point(5, 5), 2, 1).tangent_lines(Point(0, 0)) == \ + [Line(Point(0, 0), Point(Rational(77, 25), Rational(132, 25))), + Line(Point(0, 0), Point(Rational(33, 5), Rational(22, 5)))] + assert Ellipse(Point(5, 5), 2, 1).tangent_lines(Point(3, 4)) == \ + [Line(Point(3, 4), Point(4, 4)), Line(Point(3, 4), Point(3, 5))] + assert Circle(Point(5, 5), 2).tangent_lines(Point(3, 3)) == \ + [Line(Point(3, 3), Point(4, 3)), Line(Point(3, 3), Point(3, 4))] + assert Circle(Point(5, 5), 2).tangent_lines(Point(5 - 2*sqrt(2), 5)) == \ + [Line(Point(5 - 2*sqrt(2), 5), Point(5 - sqrt(2), 5 - sqrt(2))), + Line(Point(5 - 2*sqrt(2), 5), Point(5 - sqrt(2), 5 + sqrt(2))), ] + assert Circle(Point(5, 5), 5).tangent_lines(Point(4, 0)) == \ + [Line(Point(4, 0), Point(Rational(40, 13), Rational(5, 13))), + Line(Point(4, 0), Point(5, 0))] + assert Circle(Point(5, 5), 5).tangent_lines(Point(0, 6)) == \ + [Line(Point(0, 6), Point(0, 7)), + Line(Point(0, 6), Point(Rational(5, 13), Rational(90, 13)))] + + # for numerical calculations, we shouldn't demand exact equality, + # so only test up to the desired precision + def lines_close(l1, l2, prec): + """ tests whether l1 and 12 are within 10**(-prec) + of each other """ + return abs(l1.p1 - l2.p1) < 10**(-prec) and abs(l1.p2 - l2.p2) < 10**(-prec) + def line_list_close(ll1, ll2, prec): + return all(lines_close(l1, l2, prec) for l1, l2 in zip(ll1, ll2)) + + e = Ellipse(Point(0, 0), 2, 1) + assert e.normal_lines(Point(0, 0)) == \ + [Line(Point(0, 0), Point(0, 1)), Line(Point(0, 0), Point(1, 0))] + assert e.normal_lines(Point(1, 0)) == \ + [Line(Point(0, 0), Point(1, 0))] + assert e.normal_lines((0, 1)) == \ + [Line(Point(0, 0), Point(0, 1))] + assert line_list_close(e.normal_lines(Point(1, 1), 2), [ + Line(Point(Rational(-51, 26), Rational(-1, 5)), Point(Rational(-25, 26), Rational(17, 83))), + Line(Point(Rational(28, 29), Rational(-7, 8)), Point(Rational(57, 29), Rational(-9, 2)))], 2) + # test the failure of Poly.intervals and checks a point on the boundary + p = Point(sqrt(3), S.Half) + assert p in e + assert line_list_close(e.normal_lines(p, 2), [ + Line(Point(Rational(-341, 171), Rational(-1, 13)), Point(Rational(-170, 171), Rational(5, 64))), + Line(Point(Rational(26, 15), Rational(-1, 2)), Point(Rational(41, 15), Rational(-43, 26)))], 2) + # be sure to use the slope that isn't undefined on boundary + e = Ellipse((0, 0), 2, 2*sqrt(3)/3) + assert line_list_close(e.normal_lines((1, 1), 2), [ + Line(Point(Rational(-64, 33), Rational(-20, 71)), Point(Rational(-31, 33), Rational(2, 13))), + Line(Point(1, -1), Point(2, -4))], 2) + # general ellipse fails except under certain conditions + e = Ellipse((0, 0), x, 1) + assert e.normal_lines((x + 1, 0)) == [Line(Point(0, 0), Point(1, 0))] + raises(NotImplementedError, lambda: e.normal_lines((x + 1, 1))) + # Properties + major = 3 + minor = 1 + e4 = Ellipse(p2, minor, major) + assert e4.focus_distance == sqrt(major**2 - minor**2) + ecc = e4.focus_distance / major + assert e4.eccentricity == ecc + assert e4.periapsis == major*(1 - ecc) + assert e4.apoapsis == major*(1 + ecc) + assert e4.semilatus_rectum == major*(1 - ecc ** 2) + # independent of orientation + e4 = Ellipse(p2, major, minor) + assert e4.focus_distance == sqrt(major**2 - minor**2) + ecc = e4.focus_distance / major + assert e4.eccentricity == ecc + assert e4.periapsis == major*(1 - ecc) + assert e4.apoapsis == major*(1 + ecc) + + # Intersection + l1 = Line(Point(1, -5), Point(1, 5)) + l2 = Line(Point(-5, -1), Point(5, -1)) + l3 = Line(Point(-1, -1), Point(1, 1)) + l4 = Line(Point(-10, 0), Point(0, 10)) + pts_c1_l3 = [Point(sqrt(2)/2, sqrt(2)/2), Point(-sqrt(2)/2, -sqrt(2)/2)] + + assert intersection(e2, l4) == [] + assert intersection(c1, Point(1, 0)) == [Point(1, 0)] + assert intersection(c1, l1) == [Point(1, 0)] + assert intersection(c1, l2) == [Point(0, -1)] + assert intersection(c1, l3) in [pts_c1_l3, [pts_c1_l3[1], pts_c1_l3[0]]] + assert intersection(c1, c2) == [Point(0, 1), Point(1, 0)] + assert intersection(c1, c3) == [Point(sqrt(2)/2, sqrt(2)/2)] + assert e1.intersection(l1) == [Point(1, 0)] + assert e2.intersection(l4) == [] + assert e1.intersection(Circle(Point(0, 2), 1)) == [Point(0, 1)] + assert e1.intersection(Circle(Point(5, 0), 1)) == [] + assert e1.intersection(Ellipse(Point(2, 0), 1, 1)) == [Point(1, 0)] + assert e1.intersection(Ellipse(Point(5, 0), 1, 1)) == [] + assert e1.intersection(Point(2, 0)) == [] + assert e1.intersection(e1) == e1 + assert intersection(Ellipse(Point(0, 0), 2, 1), Ellipse(Point(3, 0), 1, 2)) == [Point(2, 0)] + assert intersection(Circle(Point(0, 0), 2), Circle(Point(3, 0), 1)) == [Point(2, 0)] + assert intersection(Circle(Point(0, 0), 2), Circle(Point(7, 0), 1)) == [] + assert intersection(Ellipse(Point(0, 0), 5, 17), Ellipse(Point(4, 0), 1, 0.2) + ) == [Point(5.0, 0, evaluate=False)] + assert intersection(Ellipse(Point(0, 0), 5, 17), Ellipse(Point(4, 0), 0.999, 0.2)) == [] + assert Circle((0, 0), S.Half).intersection( + Triangle((-1, 0), (1, 0), (0, 1))) == [ + Point(Rational(-1, 2), 0), Point(S.Half, 0)] + raises(TypeError, lambda: intersection(e2, Line((0, 0, 0), (0, 0, 1)))) + raises(TypeError, lambda: intersection(e2, Rational(12))) + raises(TypeError, lambda: Ellipse.intersection(e2, 1)) + # some special case intersections + csmall = Circle(p1, 3) + cbig = Circle(p1, 5) + cout = Circle(Point(5, 5), 1) + # one circle inside of another + assert csmall.intersection(cbig) == [] + # separate circles + assert csmall.intersection(cout) == [] + # coincident circles + assert csmall.intersection(csmall) == csmall + + v = sqrt(2) + t1 = Triangle(Point(0, v), Point(0, -v), Point(v, 0)) + points = intersection(t1, c1) + assert len(points) == 4 + assert Point(0, 1) in points + assert Point(0, -1) in points + assert Point(v/2, v/2) in points + assert Point(v/2, -v/2) in points + + circ = Circle(Point(0, 0), 5) + elip = Ellipse(Point(0, 0), 5, 20) + assert intersection(circ, elip) in \ + [[Point(5, 0), Point(-5, 0)], [Point(-5, 0), Point(5, 0)]] + assert elip.tangent_lines(Point(0, 0)) == [] + elip = Ellipse(Point(0, 0), 3, 2) + assert elip.tangent_lines(Point(3, 0)) == \ + [Line(Point(3, 0), Point(3, -12))] + + e1 = Ellipse(Point(0, 0), 5, 10) + e2 = Ellipse(Point(2, 1), 4, 8) + a = Rational(53, 17) + c = 2*sqrt(3991)/17 + ans = [Point(a - c/8, a/2 + c), Point(a + c/8, a/2 - c)] + assert e1.intersection(e2) == ans + e2 = Ellipse(Point(x, y), 4, 8) + c = sqrt(3991) + ans = [Point(-c/68 + a, c*Rational(2, 17) + a/2), Point(c/68 + a, c*Rational(-2, 17) + a/2)] + assert [p.subs({x: 2, y:1}) for p in e1.intersection(e2)] == ans + + # Combinations of above + assert e3.is_tangent(e3.tangent_lines(p1 + Point(y1, 0))[0]) + + e = Ellipse((1, 2), 3, 2) + assert e.tangent_lines(Point(10, 0)) == \ + [Line(Point(10, 0), Point(1, 0)), + Line(Point(10, 0), Point(Rational(14, 5), Rational(18, 5)))] + + # encloses_point + e = Ellipse((0, 0), 1, 2) + assert e.encloses_point(e.center) + assert e.encloses_point(e.center + Point(0, e.vradius - Rational(1, 10))) + assert e.encloses_point(e.center + Point(e.hradius - Rational(1, 10), 0)) + assert e.encloses_point(e.center + Point(e.hradius, 0)) is False + assert e.encloses_point( + e.center + Point(e.hradius + Rational(1, 10), 0)) is False + e = Ellipse((0, 0), 2, 1) + assert e.encloses_point(e.center) + assert e.encloses_point(e.center + Point(0, e.vradius - Rational(1, 10))) + assert e.encloses_point(e.center + Point(e.hradius - Rational(1, 10), 0)) + assert e.encloses_point(e.center + Point(e.hradius, 0)) is False + assert e.encloses_point( + e.center + Point(e.hradius + Rational(1, 10), 0)) is False + assert c1.encloses_point(Point(1, 0)) is False + assert c1.encloses_point(Point(0.3, 0.4)) is True + + assert e.scale(2, 3) == Ellipse((0, 0), 4, 3) + assert e.scale(3, 6) == Ellipse((0, 0), 6, 6) + assert e.rotate(pi) == e + assert e.rotate(pi, (1, 2)) == Ellipse(Point(2, 4), 2, 1) + raises(NotImplementedError, lambda: e.rotate(pi/3)) + + # Circle rotation tests (Issue #11743) + # Link - https://github.com/sympy/sympy/issues/11743 + cir = Circle(Point(1, 0), 1) + assert cir.rotate(pi/2) == Circle(Point(0, 1), 1) + assert cir.rotate(pi/3) == Circle(Point(S.Half, sqrt(3)/2), 1) + assert cir.rotate(pi/3, Point(1, 0)) == Circle(Point(1, 0), 1) + assert cir.rotate(pi/3, Point(0, 1)) == Circle(Point(S.Half + sqrt(3)/2, S.Half + sqrt(3)/2), 1) + + +def test_construction(): + e1 = Ellipse(hradius=2, vradius=1, eccentricity=None) + assert e1.eccentricity == sqrt(3)/2 + + e2 = Ellipse(hradius=2, vradius=None, eccentricity=sqrt(3)/2) + assert e2.vradius == 1 + + e3 = Ellipse(hradius=None, vradius=1, eccentricity=sqrt(3)/2) + assert e3.hradius == 2 + + # filter(None, iterator) filters out anything falsey, including 0 + # eccentricity would be filtered out in this case and the constructor would throw an error + e4 = Ellipse(Point(0, 0), hradius=1, eccentricity=0) + assert e4.vradius == 1 + + #tests for eccentricity > 1 + raises(GeometryError, lambda: Ellipse(Point(3, 1), hradius=3, eccentricity = S(3)/2)) + raises(GeometryError, lambda: Ellipse(Point(3, 1), hradius=3, eccentricity=sec(5))) + raises(GeometryError, lambda: Ellipse(Point(3, 1), hradius=3, eccentricity=S.Pi-S(2))) + + #tests for eccentricity = 1 + #if vradius is not defined + assert Ellipse(None, 1, None, 1).length == 2 + #if hradius is not defined + raises(GeometryError, lambda: Ellipse(None, None, 1, eccentricity = 1)) + + #tests for eccentricity < 0 + raises(GeometryError, lambda: Ellipse(Point(3, 1), hradius=3, eccentricity = -3)) + raises(GeometryError, lambda: Ellipse(Point(3, 1), hradius=3, eccentricity = -0.5)) + +def test_ellipse_random_point(): + y1 = Symbol('y1', real=True) + e3 = Ellipse(Point(0, 0), y1, y1) + rx, ry = Symbol('rx'), Symbol('ry') + for ind in range(0, 5): + r = e3.random_point() + # substitution should give zero*y1**2 + assert e3.equation(rx, ry).subs(zip((rx, ry), r.args)).equals(0) + # test for the case with seed + r = e3.random_point(seed=1) + assert e3.equation(rx, ry).subs(zip((rx, ry), r.args)).equals(0) + + +def test_repr(): + assert repr(Circle((0, 1), 2)) == 'Circle(Point2D(0, 1), 2)' + + +def test_transform(): + c = Circle((1, 1), 2) + assert c.scale(-1) == Circle((-1, 1), 2) + assert c.scale(y=-1) == Circle((1, -1), 2) + assert c.scale(2) == Ellipse((2, 1), 4, 2) + + assert Ellipse((0, 0), 2, 3).scale(2, 3, (4, 5)) == \ + Ellipse(Point(-4, -10), 4, 9) + assert Circle((0, 0), 2).scale(2, 3, (4, 5)) == \ + Ellipse(Point(-4, -10), 4, 6) + assert Ellipse((0, 0), 2, 3).scale(3, 3, (4, 5)) == \ + Ellipse(Point(-8, -10), 6, 9) + assert Circle((0, 0), 2).scale(3, 3, (4, 5)) == \ + Circle(Point(-8, -10), 6) + assert Circle(Point(-8, -10), 6).scale(Rational(1, 3), Rational(1, 3), (4, 5)) == \ + Circle((0, 0), 2) + assert Circle((0, 0), 2).translate(4, 5) == \ + Circle((4, 5), 2) + assert Circle((0, 0), 2).scale(3, 3) == \ + Circle((0, 0), 6) + + +def test_bounds(): + e1 = Ellipse(Point(0, 0), 3, 5) + e2 = Ellipse(Point(2, -2), 7, 7) + c1 = Circle(Point(2, -2), 7) + c2 = Circle(Point(-2, 0), Point(0, 2), Point(2, 0)) + assert e1.bounds == (-3, -5, 3, 5) + assert e2.bounds == (-5, -9, 9, 5) + assert c1.bounds == (-5, -9, 9, 5) + assert c2.bounds == (-2, -2, 2, 2) + + +def test_reflect(): + b = Symbol('b') + m = Symbol('m') + l = Line((0, b), slope=m) + t1 = Triangle((0, 0), (1, 0), (2, 3)) + assert t1.area == -t1.reflect(l).area + e = Ellipse((1, 0), 1, 2) + assert e.area == -e.reflect(Line((1, 0), slope=0)).area + assert e.area == -e.reflect(Line((1, 0), slope=oo)).area + raises(NotImplementedError, lambda: e.reflect(Line((1, 0), slope=m))) + assert Circle((0, 1), 1).reflect(Line((0, 0), (1, 1))) == Circle(Point2D(1, 0), -1) + + +def test_is_tangent(): + e1 = Ellipse(Point(0, 0), 3, 5) + c1 = Circle(Point(2, -2), 7) + assert e1.is_tangent(Point(0, 0)) is False + assert e1.is_tangent(Point(3, 0)) is False + assert e1.is_tangent(e1) is True + assert e1.is_tangent(Ellipse((0, 0), 1, 2)) is False + assert e1.is_tangent(Ellipse((0, 0), 3, 2)) is True + assert c1.is_tangent(Ellipse((2, -2), 7, 1)) is True + assert c1.is_tangent(Circle((11, -2), 2)) is True + assert c1.is_tangent(Circle((7, -2), 2)) is True + assert c1.is_tangent(Ray((-5, -2), (-15, -20))) is False + assert c1.is_tangent(Ray((-3, -2), (-15, -20))) is False + assert c1.is_tangent(Ray((-3, -22), (15, 20))) is False + assert c1.is_tangent(Ray((9, 20), (9, -20))) is True + assert c1.is_tangent(Ray((2, 5), (9, 5))) is True + assert c1.is_tangent(Segment((2, 5), (9, 5))) is True + assert e1.is_tangent(Segment((2, 2), (-7, 7))) is False + assert e1.is_tangent(Segment((0, 0), (1, 2))) is False + assert c1.is_tangent(Segment((0, 0), (-5, -2))) is False + assert e1.is_tangent(Segment((3, 0), (12, 12))) is False + assert e1.is_tangent(Segment((12, 12), (3, 0))) is False + assert e1.is_tangent(Segment((-3, 0), (3, 0))) is False + assert e1.is_tangent(Segment((-3, 5), (3, 5))) is True + assert e1.is_tangent(Line((10, 0), (10, 10))) is False + assert e1.is_tangent(Line((0, 0), (1, 1))) is False + assert e1.is_tangent(Line((-3, 0), (-2.99, -0.001))) is False + assert e1.is_tangent(Line((-3, 0), (-3, 1))) is True + assert e1.is_tangent(Polygon((0, 0), (5, 5), (5, -5))) is False + assert e1.is_tangent(Polygon((-100, -50), (-40, -334), (-70, -52))) is False + assert e1.is_tangent(Polygon((-3, 0), (3, 0), (0, 1))) is False + assert e1.is_tangent(Polygon((-3, 0), (3, 0), (0, 5))) is False + assert e1.is_tangent(Polygon((-3, 0), (0, -5), (3, 0), (0, 5))) is False + assert e1.is_tangent(Polygon((-3, -5), (-3, 5), (3, 5), (3, -5))) is True + assert c1.is_tangent(Polygon((-3, -5), (-3, 5), (3, 5), (3, -5))) is False + assert e1.is_tangent(Polygon((0, 0), (3, 0), (7, 7), (0, 5))) is False + assert e1.is_tangent(Polygon((3, 12), (3, -12), (6, 5))) is False + assert e1.is_tangent(Polygon((3, 12), (3, -12), (0, -5), (0, 5))) is False + assert e1.is_tangent(Polygon((3, 0), (5, 7), (6, -5))) is False + assert c1.is_tangent(Segment((0, 0), (-5, -2))) is False + assert e1.is_tangent(Segment((-3, 0), (3, 0))) is False + assert e1.is_tangent(Segment((-3, 5), (3, 5))) is True + assert e1.is_tangent(Polygon((0, 0), (5, 5), (5, -5))) is False + assert e1.is_tangent(Polygon((-100, -50), (-40, -334), (-70, -52))) is False + assert e1.is_tangent(Polygon((-3, -5), (-3, 5), (3, 5), (3, -5))) is True + assert c1.is_tangent(Polygon((-3, -5), (-3, 5), (3, 5), (3, -5))) is False + assert e1.is_tangent(Polygon((3, 12), (3, -12), (0, -5), (0, 5))) is False + assert e1.is_tangent(Polygon((3, 0), (5, 7), (6, -5))) is False + raises(TypeError, lambda: e1.is_tangent(Point(0, 0, 0))) + raises(TypeError, lambda: e1.is_tangent(Rational(5))) + + +def test_parameter_value(): + t = Symbol('t') + e = Ellipse(Point(0, 0), 3, 5) + assert e.parameter_value((3, 0), t) == {t: 0} + raises(ValueError, lambda: e.parameter_value((4, 0), t)) + + +@slow +def test_second_moment_of_area(): + x, y = symbols('x, y') + e = Ellipse(Point(0, 0), 5, 4) + I_yy = 2*4*integrate(sqrt(25 - x**2)*x**2, (x, -5, 5))/5 + I_xx = 2*5*integrate(sqrt(16 - y**2)*y**2, (y, -4, 4))/4 + Y = 3*sqrt(1 - x**2/5**2) + I_xy = integrate(integrate(y, (y, -Y, Y))*x, (x, -5, 5)) + assert I_yy == e.second_moment_of_area()[1] + assert I_xx == e.second_moment_of_area()[0] + assert I_xy == e.second_moment_of_area()[2] + #checking for other point + t1 = e.second_moment_of_area(Point(6,5)) + t2 = (580*pi, 845*pi, 600*pi) + assert t1==t2 + + +def test_section_modulus_and_polar_second_moment_of_area(): + d = Symbol('d', positive=True) + c = Circle((3, 7), 8) + assert c.polar_second_moment_of_area() == 2048*pi + assert c.section_modulus() == (128*pi, 128*pi) + c = Circle((2, 9), d/2) + assert c.polar_second_moment_of_area() == pi*d**3*Abs(d)/64 + pi*d*Abs(d)**3/64 + assert c.section_modulus() == (pi*d**3/S(32), pi*d**3/S(32)) + + a, b = symbols('a, b', positive=True) + e = Ellipse((4, 6), a, b) + assert e.section_modulus() == (pi*a*b**2/S(4), pi*a**2*b/S(4)) + assert e.polar_second_moment_of_area() == pi*a**3*b/S(4) + pi*a*b**3/S(4) + e = e.rotate(pi/2) # no change in polar and section modulus + assert e.section_modulus() == (pi*a**2*b/S(4), pi*a*b**2/S(4)) + assert e.polar_second_moment_of_area() == pi*a**3*b/S(4) + pi*a*b**3/S(4) + + e = Ellipse((a, b), 2, 6) + assert e.section_modulus() == (18*pi, 6*pi) + assert e.polar_second_moment_of_area() == 120*pi + + e = Ellipse(Point(0, 0), 2, 2) + assert e.section_modulus() == (2*pi, 2*pi) + assert e.section_modulus(Point(2, 2)) == (2*pi, 2*pi) + assert e.section_modulus((2, 2)) == (2*pi, 2*pi) + + +def test_circumference(): + M = Symbol('M') + m = Symbol('m') + assert Ellipse(Point(0, 0), M, m).circumference == 4 * M * elliptic_e((M ** 2 - m ** 2) / M**2) + + assert Ellipse(Point(0, 0), 5, 4).circumference == 20 * elliptic_e(S(9) / 25) + + # circle + assert Ellipse(None, 1, None, 0).circumference == 2*pi + + # test numerically + assert abs(Ellipse(None, hradius=5, vradius=3).circumference.evalf(16) - 25.52699886339813) < 1e-10 + + +def test_issue_15259(): + assert Circle((1, 2), 0) == Point(1, 2) + + +def test_issue_15797_equals(): + Ri = 0.024127189424130748 + Ci = (0.0864931002830291, 0.0819863295239654) + A = Point(0, 0.0578591400998346) + c = Circle(Ci, Ri) # evaluated + assert c.is_tangent(c.tangent_lines(A)[0]) == True + assert c.center.x.is_Rational + assert c.center.y.is_Rational + assert c.radius.is_Rational + u = Circle(Ci, Ri, evaluate=False) # unevaluated + assert u.center.x.is_Float + assert u.center.y.is_Float + assert u.radius.is_Float + + +def test_auxiliary_circle(): + x, y, a, b = symbols('x y a b') + e = Ellipse((x, y), a, b) + # the general result + assert e.auxiliary_circle() == Circle((x, y), Max(a, b)) + # a special case where Ellipse is a Circle + assert Circle((3, 4), 8).auxiliary_circle() == Circle((3, 4), 8) + + +def test_director_circle(): + x, y, a, b = symbols('x y a b') + e = Ellipse((x, y), a, b) + # the general result + assert e.director_circle() == Circle((x, y), sqrt(a**2 + b**2)) + # a special case where Ellipse is a Circle + assert Circle((3, 4), 8).director_circle() == Circle((3, 4), 8*sqrt(2)) + + +def test_evolute(): + #ellipse centered at h,k + x, y, h, k = symbols('x y h k',real = True) + a, b = symbols('a b') + e = Ellipse(Point(h, k), a, b) + t1 = (e.hradius*(x - e.center.x))**Rational(2, 3) + t2 = (e.vradius*(y - e.center.y))**Rational(2, 3) + E = t1 + t2 - (e.hradius**2 - e.vradius**2)**Rational(2, 3) + assert e.evolute() == E + #Numerical Example + e = Ellipse(Point(1, 1), 6, 3) + t1 = (6*(x - 1))**Rational(2, 3) + t2 = (3*(y - 1))**Rational(2, 3) + E = t1 + t2 - (27)**Rational(2, 3) + assert e.evolute() == E + + +def test_svg(): + e1 = Ellipse(Point(1, 0), 3, 2) + assert e1._svg(2, "#FFAAFF") == '' diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/geometry/tests/test_entity.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/geometry/tests/test_entity.py new file mode 100644 index 0000000000000000000000000000000000000000..0d440fd5dbd193c7c490b45a706fab2703e247ec --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/geometry/tests/test_entity.py @@ -0,0 +1,120 @@ +from sympy.core.numbers import (Rational, pi) +from sympy.core.singleton import S +from sympy.core.symbol import Symbol +from sympy.geometry import (Circle, Ellipse, Point, Line, Parabola, + Polygon, Ray, RegularPolygon, Segment, Triangle, Plane, Curve) +from sympy.geometry.entity import scale, GeometryEntity +from sympy.testing.pytest import raises + + +def test_entity(): + x = Symbol('x', real=True) + y = Symbol('y', real=True) + + assert GeometryEntity(x, y) in GeometryEntity(x, y) + raises(NotImplementedError, lambda: Point(0, 0) in GeometryEntity(x, y)) + + assert GeometryEntity(x, y) == GeometryEntity(x, y) + assert GeometryEntity(x, y).equals(GeometryEntity(x, y)) + + c = Circle((0, 0), 5) + assert GeometryEntity.encloses(c, Point(0, 0)) + assert GeometryEntity.encloses(c, Segment((0, 0), (1, 1))) + assert GeometryEntity.encloses(c, Line((0, 0), (1, 1))) is False + assert GeometryEntity.encloses(c, Circle((0, 0), 4)) + assert GeometryEntity.encloses(c, Polygon(Point(0, 0), Point(1, 0), Point(0, 1))) + assert GeometryEntity.encloses(c, RegularPolygon(Point(8, 8), 1, 3)) is False + + +def test_svg(): + a = Symbol('a') + b = Symbol('b') + d = Symbol('d') + + entity = Circle(Point(a, b), d) + assert entity._repr_svg_() is None + + entity = Circle(Point(0, 0), S.Infinity) + assert entity._repr_svg_() is None + + +def test_subs(): + x = Symbol('x', real=True) + y = Symbol('y', real=True) + p = Point(x, 2) + q = Point(1, 1) + r = Point(3, 4) + for o in [p, + Segment(p, q), + Ray(p, q), + Line(p, q), + Triangle(p, q, r), + RegularPolygon(p, 3, 6), + Polygon(p, q, r, Point(5, 4)), + Circle(p, 3), + Ellipse(p, 3, 4)]: + assert 'y' in str(o.subs(x, y)) + assert p.subs({x: 1}) == Point(1, 2) + assert Point(1, 2).subs(Point(1, 2), Point(3, 4)) == Point(3, 4) + assert Point(1, 2).subs((1, 2), Point(3, 4)) == Point(3, 4) + assert Point(1, 2).subs(Point(1, 2), Point(3, 4)) == Point(3, 4) + assert Point(1, 2).subs({(1, 2)}) == Point(2, 2) + raises(ValueError, lambda: Point(1, 2).subs(1)) + raises(TypeError, lambda: Point(1, 1).subs((Point(1, 1), Point(1, + 2)), 1, 2)) + + +def test_transform(): + assert scale(1, 2, (3, 4)).tolist() == \ + [[1, 0, 0], [0, 2, 0], [0, -4, 1]] + + +def test_reflect_entity_overrides(): + x = Symbol('x', real=True) + y = Symbol('y', real=True) + b = Symbol('b') + m = Symbol('m') + l = Line((0, b), slope=m) + p = Point(x, y) + r = p.reflect(l) + c = Circle((x, y), 3) + cr = c.reflect(l) + assert cr == Circle(r, -3) + assert c.area == -cr.area + + pent = RegularPolygon((1, 2), 1, 5) + slope = S.ComplexInfinity + while slope is S.ComplexInfinity: + slope = Rational(*(x._random()/2).as_real_imag()) + l = Line(pent.vertices[1], slope=slope) + rpent = pent.reflect(l) + assert rpent.center == pent.center.reflect(l) + rvert = [i.reflect(l) for i in pent.vertices] + for v in rpent.vertices: + for i in range(len(rvert)): + ri = rvert[i] + if ri.equals(v): + rvert.remove(ri) + break + assert not rvert + assert pent.area.equals(-rpent.area) + + +def test_geometry_EvalfMixin(): + x = pi + t = Symbol('t') + for g in [ + Point(x, x), + Plane(Point(0, x, 0), (0, 0, x)), + Curve((x*t, x), (t, 0, x)), + Ellipse((x, x), x, -x), + Circle((x, x), x), + Line((0, x), (x, 0)), + Segment((0, x), (x, 0)), + Ray((0, x), (x, 0)), + Parabola((0, x), Line((-x, 0), (x, 0))), + Polygon((0, 0), (0, x), (x, 0), (x, x)), + RegularPolygon((0, x), x, 4, x), + Triangle((0, 0), (x, 0), (x, x)), + ]: + assert str(g).replace('pi', '3.1') == str(g.n(2)) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/geometry/tests/test_geometrysets.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/geometry/tests/test_geometrysets.py new file mode 100644 index 0000000000000000000000000000000000000000..c52898b3c9ba4e9db80c244db3aebf88db2cc8b4 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/geometry/tests/test_geometrysets.py @@ -0,0 +1,38 @@ +from sympy.core.numbers import Rational +from sympy.core.singleton import S +from sympy.geometry import Circle, Line, Point, Polygon, Segment +from sympy.sets import FiniteSet, Union, Intersection, EmptySet + + +def test_booleans(): + """ test basic unions and intersections """ + half = S.Half + + p1, p2, p3, p4 = map(Point, [(0, 0), (1, 0), (5, 1), (0, 1)]) + p5, p6, p7 = map(Point, [(3, 2), (1, -1), (0, 2)]) + l1 = Line(Point(0,0), Point(1,1)) + l2 = Line(Point(half, half), Point(5,5)) + l3 = Line(p2, p3) + l4 = Line(p3, p4) + poly1 = Polygon(p1, p2, p3, p4) + poly2 = Polygon(p5, p6, p7) + poly3 = Polygon(p1, p2, p5) + assert Union(l1, l2).equals(l1) + assert Intersection(l1, l2).equals(l1) + assert Intersection(l1, l4) == FiniteSet(Point(1,1)) + assert Intersection(Union(l1, l4), l3) == FiniteSet(Point(Rational(-1, 3), Rational(-1, 3)), Point(5, 1)) + assert Intersection(l1, FiniteSet(Point(7,-7))) == EmptySet + assert Intersection(Circle(Point(0,0), 3), Line(p1,p2)) == FiniteSet(Point(-3,0), Point(3,0)) + assert Intersection(l1, FiniteSet(p1)) == FiniteSet(p1) + assert Union(l1, FiniteSet(p1)) == l1 + + fs = FiniteSet(Point(Rational(1, 3), 1), Point(Rational(2, 3), 0), Point(Rational(9, 5), Rational(1, 5)), Point(Rational(7, 3), 1)) + # test the intersection of polygons + assert Intersection(poly1, poly2) == fs + # make sure if we union polygons with subsets, the subsets go away + assert Union(poly1, poly2, fs) == Union(poly1, poly2) + # make sure that if we union with a FiniteSet that isn't a subset, + # that the points in the intersection stop being listed + assert Union(poly1, FiniteSet(Point(0,0), Point(3,5))) == Union(poly1, FiniteSet(Point(3,5))) + # intersect two polygons that share an edge + assert Intersection(poly1, poly3) == Union(FiniteSet(Point(Rational(3, 2), 1), Point(2, 1)), Segment(Point(0, 0), Point(1, 0))) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/geometry/tests/test_line.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/geometry/tests/test_line.py new file mode 100644 index 0000000000000000000000000000000000000000..5158ec05ab414020fbbe2681a2658454dd15b6eb --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/geometry/tests/test_line.py @@ -0,0 +1,861 @@ +from sympy.core.numbers import (Float, Rational, oo, pi) +from sympy.core.relational import Eq +from sympy.core.singleton import S +from sympy.core.symbol import (Symbol, symbols) +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.trigonometric import (acos, cos, sin) +from sympy.sets import EmptySet +from sympy.simplify.simplify import simplify +from sympy.functions.elementary.trigonometric import tan +from sympy.geometry import (Circle, GeometryError, Line, Point, Ray, + Segment, Triangle, intersection, Point3D, Line3D, Ray3D, Segment3D, + Point2D, Line2D, Plane) +from sympy.geometry.line import Undecidable +from sympy.geometry.polygon import _asa as asa +from sympy.utilities.iterables import cartes +from sympy.testing.pytest import raises, warns + + +x = Symbol('x', real=True) +y = Symbol('y', real=True) +z = Symbol('z', real=True) +k = Symbol('k', real=True) +x1 = Symbol('x1', real=True) +y1 = Symbol('y1', real=True) +t = Symbol('t', real=True) +a, b = symbols('a,b', real=True) +m = symbols('m', real=True) + + +def test_object_from_equation(): + from sympy.abc import x, y, a, b + assert Line(3*x + y + 18) == Line2D(Point2D(0, -18), Point2D(1, -21)) + assert Line(3*x + 5 * y + 1) == Line2D( + Point2D(0, Rational(-1, 5)), Point2D(1, Rational(-4, 5))) + assert Line(3*a + b + 18, x="a", y="b") == Line2D( + Point2D(0, -18), Point2D(1, -21)) + assert Line(3*x + y) == Line2D(Point2D(0, 0), Point2D(1, -3)) + assert Line(x + y) == Line2D(Point2D(0, 0), Point2D(1, -1)) + assert Line(Eq(3*a + b, -18), x="a", y=b) == Line2D( + Point2D(0, -18), Point2D(1, -21)) + # issue 22361 + assert Line(x - 1) == Line2D(Point2D(1, 0), Point2D(1, 1)) + assert Line(2*x - 2, y=x) == Line2D(Point2D(0, 1), Point2D(1, 1)) + assert Line(y) == Line2D(Point2D(0, 0), Point2D(1, 0)) + assert Line(2*y, x=y) == Line2D(Point2D(0, 0), Point2D(0, 1)) + assert Line(y, x=y) == Line2D(Point2D(0, 0), Point2D(0, 1)) + raises(ValueError, lambda: Line(x / y)) + raises(ValueError, lambda: Line(a / b, x='a', y='b')) + raises(ValueError, lambda: Line(y / x)) + raises(ValueError, lambda: Line(b / a, x='a', y='b')) + raises(ValueError, lambda: Line((x + 1)**2 + y)) + + +def feq(a, b): + """Test if two floating point values are 'equal'.""" + t_float = Float("1.0E-10") + return -t_float < a - b < t_float + + +def test_angle_between(): + a = Point(1, 2, 3, 4) + b = a.orthogonal_direction + o = a.origin + assert feq(Line.angle_between(Line(Point(0, 0), Point(1, 1)), + Line(Point(0, 0), Point(5, 0))).evalf(), pi.evalf() / 4) + assert Line(a, o).angle_between(Line(b, o)) == pi / 2 + z = Point3D(0, 0, 0) + assert Line3D.angle_between(Line3D(z, Point3D(1, 1, 1)), + Line3D(z, Point3D(5, 0, 0))) == acos(sqrt(3) / 3) + # direction of points is used to determine angle + assert Line3D.angle_between(Line3D(z, Point3D(1, 1, 1)), + Line3D(Point3D(5, 0, 0), z)) == acos(-sqrt(3) / 3) + + +def test_closing_angle(): + a = Ray((0, 0), angle=0) + b = Ray((1, 2), angle=pi/2) + assert a.closing_angle(b) == -pi/2 + assert b.closing_angle(a) == pi/2 + assert a.closing_angle(a) == 0 + + +def test_smallest_angle(): + a = Line(Point(1, 1), Point(1, 2)) + b = Line(Point(1, 1),Point(2, 3)) + assert a.smallest_angle_between(b) == acos(2*sqrt(5)/5) + + +def test_svg(): + a = Line(Point(1, 1),Point(1, 2)) + assert a._svg() == '' + a = Segment(Point(1, 0),Point(1, 1)) + assert a._svg() == '' + a = Ray(Point(2, 3), Point(3, 5)) + assert a._svg() == '' + + +def test_arbitrary_point(): + l1 = Line3D(Point3D(0, 0, 0), Point3D(1, 1, 1)) + l2 = Line(Point(x1, x1), Point(y1, y1)) + assert l2.arbitrary_point() in l2 + assert Ray((1, 1), angle=pi / 4).arbitrary_point() == \ + Point(t + 1, t + 1) + assert Segment((1, 1), (2, 3)).arbitrary_point() == Point(1 + t, 1 + 2 * t) + assert l1.perpendicular_segment(l1.arbitrary_point()) == l1.arbitrary_point() + assert Ray3D((1, 1, 1), direction_ratio=[1, 2, 3]).arbitrary_point() == \ + Point3D(t + 1, 2 * t + 1, 3 * t + 1) + assert Segment3D(Point3D(0, 0, 0), Point3D(1, 1, 1)).midpoint == \ + Point3D(S.Half, S.Half, S.Half) + assert Segment3D(Point3D(x1, x1, x1), Point3D(y1, y1, y1)).length == sqrt(3) * sqrt((x1 - y1) ** 2) + assert Segment3D((1, 1, 1), (2, 3, 4)).arbitrary_point() == \ + Point3D(t + 1, 2 * t + 1, 3 * t + 1) + raises(ValueError, (lambda: Line((x, 1), (2, 3)).arbitrary_point(x))) + + +def test_are_concurrent_2d(): + l1 = Line(Point(0, 0), Point(1, 1)) + l2 = Line(Point(x1, x1), Point(x1, 1 + x1)) + assert Line.are_concurrent(l1) is False + assert Line.are_concurrent(l1, l2) + assert Line.are_concurrent(l1, l1, l1, l2) + assert Line.are_concurrent(l1, l2, Line(Point(5, x1), Point(Rational(-3, 5), x1))) + assert Line.are_concurrent(l1, Line(Point(0, 0), Point(-x1, x1)), l2) is False + + +def test_are_concurrent_3d(): + p1 = Point3D(0, 0, 0) + l1 = Line(p1, Point3D(1, 1, 1)) + parallel_1 = Line3D(Point3D(0, 0, 0), Point3D(1, 0, 0)) + parallel_2 = Line3D(Point3D(0, 1, 0), Point3D(1, 1, 0)) + assert Line3D.are_concurrent(l1) is False + assert Line3D.are_concurrent(l1, Line(Point3D(x1, x1, x1), Point3D(y1, y1, y1))) is False + assert Line3D.are_concurrent(l1, Line3D(p1, Point3D(x1, x1, x1)), + Line(Point3D(x1, x1, x1), Point3D(x1, 1 + x1, 1))) is True + assert Line3D.are_concurrent(parallel_1, parallel_2) is False + + +def test_arguments(): + """Functions accepting `Point` objects in `geometry` + should also accept tuples, lists, and generators and + automatically convert them to points.""" + from sympy.utilities.iterables import subsets + + singles2d = ((1, 2), [1, 3], Point(1, 5)) + doubles2d = subsets(singles2d, 2) + l2d = Line(Point2D(1, 2), Point2D(2, 3)) + singles3d = ((1, 2, 3), [1, 2, 4], Point(1, 2, 6)) + doubles3d = subsets(singles3d, 2) + l3d = Line(Point3D(1, 2, 3), Point3D(1, 1, 2)) + singles4d = ((1, 2, 3, 4), [1, 2, 3, 5], Point(1, 2, 3, 7)) + doubles4d = subsets(singles4d, 2) + l4d = Line(Point(1, 2, 3, 4), Point(2, 2, 2, 2)) + # test 2D + test_single = ['contains', 'distance', 'equals', 'parallel_line', 'perpendicular_line', 'perpendicular_segment', + 'projection', 'intersection'] + for p in doubles2d: + Line2D(*p) + for func in test_single: + for p in singles2d: + getattr(l2d, func)(p) + # test 3D + for p in doubles3d: + Line3D(*p) + for func in test_single: + for p in singles3d: + getattr(l3d, func)(p) + # test 4D + for p in doubles4d: + Line(*p) + for func in test_single: + for p in singles4d: + getattr(l4d, func)(p) + + +def test_basic_properties_2d(): + p1 = Point(0, 0) + p2 = Point(1, 1) + p10 = Point(2000, 2000) + p_r3 = Ray(p1, p2).random_point() + p_r4 = Ray(p2, p1).random_point() + + l1 = Line(p1, p2) + l3 = Line(Point(x1, x1), Point(x1, 1 + x1)) + l4 = Line(p1, Point(1, 0)) + + r1 = Ray(p1, Point(0, 1)) + r2 = Ray(Point(0, 1), p1) + + s1 = Segment(p1, p10) + p_s1 = s1.random_point() + + assert Line((1, 1), slope=1) == Line((1, 1), (2, 2)) + assert Line((1, 1), slope=oo) == Line((1, 1), (1, 2)) + assert Line((1, 1), slope=oo).bounds == (1, 1, 1, 2) + assert Line((1, 1), slope=-oo) == Line((1, 1), (1, 2)) + assert Line(p1, p2).scale(2, 1) == Line(p1, Point(2, 1)) + assert Line(p1, p2) == Line(p1, p2) + assert Line(p1, p2) != Line(p2, p1) + assert l1 != Line(Point(x1, x1), Point(y1, y1)) + assert l1 != l3 + assert Line(p1, p10) != Line(p10, p1) + assert Line(p1, p10) != p1 + assert p1 in l1 # is p1 on the line l1? + assert p1 not in l3 + assert s1 in Line(p1, p10) + assert Ray(Point(0, 0), Point(0, 1)) in Ray(Point(0, 0), Point(0, 2)) + assert Ray(Point(0, 0), Point(0, 2)) in Ray(Point(0, 0), Point(0, 1)) + assert Ray(Point(0, 0), Point(0, 2)).xdirection == S.Zero + assert Ray(Point(0, 0), Point(1, 2)).xdirection == S.Infinity + assert Ray(Point(0, 0), Point(-1, 2)).xdirection == S.NegativeInfinity + assert Ray(Point(0, 0), Point(2, 0)).ydirection == S.Zero + assert Ray(Point(0, 0), Point(2, 2)).ydirection == S.Infinity + assert Ray(Point(0, 0), Point(2, -2)).ydirection == S.NegativeInfinity + assert (r1 in s1) is False + assert Segment(p1, p2) in s1 + assert Ray(Point(x1, x1), Point(x1, 1 + x1)) != Ray(p1, Point(-1, 5)) + assert Segment(p1, p2).midpoint == Point(S.Half, S.Half) + assert Segment(p1, Point(-x1, x1)).length == sqrt(2 * (x1 ** 2)) + + assert l1.slope == 1 + assert l3.slope is oo + assert l4.slope == 0 + assert Line(p1, Point(0, 1)).slope is oo + assert Line(r1.source, r1.random_point()).slope == r1.slope + assert Line(r2.source, r2.random_point()).slope == r2.slope + assert Segment(Point(0, -1), Segment(p1, Point(0, 1)).random_point()).slope == Segment(p1, Point(0, 1)).slope + + assert l4.coefficients == (0, 1, 0) + assert Line((-x, x), (-x + 1, x - 1)).coefficients == (1, 1, 0) + assert Line(p1, Point(0, 1)).coefficients == (1, 0, 0) + # issue 7963 + r = Ray((0, 0), angle=x) + assert r.subs(x, 3 * pi / 4) == Ray((0, 0), (-1, 1)) + assert r.subs(x, 5 * pi / 4) == Ray((0, 0), (-1, -1)) + assert r.subs(x, -pi / 4) == Ray((0, 0), (1, -1)) + assert r.subs(x, pi / 2) == Ray((0, 0), (0, 1)) + assert r.subs(x, -pi / 2) == Ray((0, 0), (0, -1)) + + for ind in range(0, 5): + assert l3.random_point() in l3 + + assert p_r3.x >= p1.x and p_r3.y >= p1.y + assert p_r4.x <= p2.x and p_r4.y <= p2.y + assert p1.x <= p_s1.x <= p10.x and p1.y <= p_s1.y <= p10.y + assert hash(s1) != hash(Segment(p10, p1)) + + assert s1.plot_interval() == [t, 0, 1] + assert Line(p1, p10).plot_interval() == [t, -5, 5] + assert Ray((0, 0), angle=pi / 4).plot_interval() == [t, 0, 10] + + +def test_basic_properties_3d(): + p1 = Point3D(0, 0, 0) + p2 = Point3D(1, 1, 1) + p3 = Point3D(x1, x1, x1) + p5 = Point3D(x1, 1 + x1, 1) + + l1 = Line3D(p1, p2) + l3 = Line3D(p3, p5) + + r1 = Ray3D(p1, Point3D(-1, 5, 0)) + r3 = Ray3D(p1, p2) + + s1 = Segment3D(p1, p2) + + assert Line3D((1, 1, 1), direction_ratio=[2, 3, 4]) == Line3D(Point3D(1, 1, 1), Point3D(3, 4, 5)) + assert Line3D((1, 1, 1), direction_ratio=[1, 5, 7]) == Line3D(Point3D(1, 1, 1), Point3D(2, 6, 8)) + assert Line3D((1, 1, 1), direction_ratio=[1, 2, 3]) == Line3D(Point3D(1, 1, 1), Point3D(2, 3, 4)) + assert Line3D(Point3D(0, 0, 0), Point3D(1, 0, 0)).direction_cosine == [1, 0, 0] + assert Line3D(Line3D(p1, Point3D(0, 1, 0))) == Line3D(p1, Point3D(0, 1, 0)) + assert Ray3D(Line3D(Point3D(0, 0, 0), Point3D(1, 0, 0))) == Ray3D(p1, Point3D(1, 0, 0)) + assert Line3D(p1, p2) != Line3D(p2, p1) + assert l1 != l3 + assert l1 != Line3D(p3, Point3D(y1, y1, y1)) + assert r3 != r1 + assert Ray3D(Point3D(0, 0, 0), Point3D(1, 1, 1)) in Ray3D(Point3D(0, 0, 0), Point3D(2, 2, 2)) + assert Ray3D(Point3D(0, 0, 0), Point3D(2, 2, 2)) in Ray3D(Point3D(0, 0, 0), Point3D(1, 1, 1)) + assert Ray3D(Point3D(0, 0, 0), Point3D(2, 2, 2)).xdirection == S.Infinity + assert Ray3D(Point3D(0, 0, 0), Point3D(2, 2, 2)).ydirection == S.Infinity + assert Ray3D(Point3D(0, 0, 0), Point3D(2, 2, 2)).zdirection == S.Infinity + assert Ray3D(Point3D(0, 0, 0), Point3D(-2, 2, 2)).xdirection == S.NegativeInfinity + assert Ray3D(Point3D(0, 0, 0), Point3D(2, -2, 2)).ydirection == S.NegativeInfinity + assert Ray3D(Point3D(0, 0, 0), Point3D(2, 2, -2)).zdirection == S.NegativeInfinity + assert Ray3D(Point3D(0, 0, 0), Point3D(0, 2, 2)).xdirection == S.Zero + assert Ray3D(Point3D(0, 0, 0), Point3D(2, 0, 2)).ydirection == S.Zero + assert Ray3D(Point3D(0, 0, 0), Point3D(2, 2, 0)).zdirection == S.Zero + assert p1 in l1 + assert p1 not in l3 + + assert l1.direction_ratio == [1, 1, 1] + + assert s1.midpoint == Point3D(S.Half, S.Half, S.Half) + # Test zdirection + assert Ray3D(p1, Point3D(0, 0, -1)).zdirection is S.NegativeInfinity + + +def test_contains(): + p1 = Point(0, 0) + + r = Ray(p1, Point(4, 4)) + r1 = Ray3D(p1, Point3D(0, 0, -1)) + r2 = Ray3D(p1, Point3D(0, 1, 0)) + r3 = Ray3D(p1, Point3D(0, 0, 1)) + + l = Line(Point(0, 1), Point(3, 4)) + # Segment contains + assert Point(0, (a + b) / 2) in Segment((0, a), (0, b)) + assert Point((a + b) / 2, 0) in Segment((a, 0), (b, 0)) + assert Point3D(0, 1, 0) in Segment3D((0, 1, 0), (0, 1, 0)) + assert Point3D(1, 0, 0) in Segment3D((1, 0, 0), (1, 0, 0)) + assert Segment3D(Point3D(0, 0, 0), Point3D(1, 0, 0)).contains([]) is True + assert Segment3D(Point3D(0, 0, 0), Point3D(1, 0, 0)).contains( + Segment3D(Point3D(2, 2, 2), Point3D(3, 2, 2))) is False + # Line contains + assert l.contains(Point(0, 1)) is True + assert l.contains((0, 1)) is True + assert l.contains((0, 0)) is False + # Ray contains + assert r.contains(p1) is True + assert r.contains((1, 1)) is True + assert r.contains((1, 3)) is False + assert r.contains(Segment((1, 1), (2, 2))) is True + assert r.contains(Segment((1, 2), (2, 5))) is False + assert r.contains(Ray((2, 2), (3, 3))) is True + assert r.contains(Ray((2, 2), (3, 5))) is False + assert r1.contains(Segment3D(p1, Point3D(0, 0, -10))) is True + assert r1.contains(Segment3D(Point3D(1, 1, 1), Point3D(2, 2, 2))) is False + assert r2.contains(Point3D(0, 0, 0)) is True + assert r3.contains(Point3D(0, 0, 0)) is True + assert Ray3D(Point3D(1, 1, 1), Point3D(1, 0, 0)).contains([]) is False + assert Line3D((0, 0, 0), (x, y, z)).contains((2 * x, 2 * y, 2 * z)) + with warns(UserWarning, test_stacklevel=False): + assert Line3D(p1, Point3D(0, 1, 0)).contains(Point(1.0, 1.0)) is False + + with warns(UserWarning, test_stacklevel=False): + assert r3.contains(Point(1.0, 1.0)) is False + + +def test_contains_nonreal_symbols(): + u, v, w, z = symbols('u, v, w, z') + l = Segment(Point(u, w), Point(v, z)) + p = Point(u*Rational(2, 3) + v/3, w*Rational(2, 3) + z/3) + assert l.contains(p) + + +def test_distance_2d(): + p1 = Point(0, 0) + p2 = Point(1, 1) + half = S.Half + + s1 = Segment(Point(0, 0), Point(1, 1)) + s2 = Segment(Point(half, half), Point(1, 0)) + + r = Ray(p1, p2) + + assert s1.distance(Point(0, 0)) == 0 + assert s1.distance((0, 0)) == 0 + assert s2.distance(Point(0, 0)) == 2 ** half / 2 + assert s2.distance(Point(Rational(3) / 2, Rational(3) / 2)) == 2 ** half + assert Line(p1, p2).distance(Point(-1, 1)) == sqrt(2) + assert Line(p1, p2).distance(Point(1, -1)) == sqrt(2) + assert Line(p1, p2).distance(Point(2, 2)) == 0 + assert Line(p1, p2).distance((-1, 1)) == sqrt(2) + assert Line((0, 0), (0, 1)).distance(p1) == 0 + assert Line((0, 0), (0, 1)).distance(p2) == 1 + assert Line((0, 0), (1, 0)).distance(p1) == 0 + assert Line((0, 0), (1, 0)).distance(p2) == 1 + assert r.distance(Point(-1, -1)) == sqrt(2) + assert r.distance(Point(1, 1)) == 0 + assert r.distance(Point(-1, 1)) == sqrt(2) + assert Ray((1, 1), (2, 2)).distance(Point(1.5, 3)) == 3 * sqrt(2) / 4 + assert r.distance((1, 1)) == 0 + + +def test_dimension_normalization(): + with warns(UserWarning, test_stacklevel=False): + assert Ray((1, 1), (2, 1, 2)) == Ray((1, 1, 0), (2, 1, 2)) + + +def test_distance_3d(): + p1, p2 = Point3D(0, 0, 0), Point3D(1, 1, 1) + p3 = Point3D(Rational(3) / 2, Rational(3) / 2, Rational(3) / 2) + + s1 = Segment3D(Point3D(0, 0, 0), Point3D(1, 1, 1)) + s2 = Segment3D(Point3D(S.Half, S.Half, S.Half), Point3D(1, 0, 1)) + + r = Ray3D(p1, p2) + + assert s1.distance(p1) == 0 + assert s2.distance(p1) == sqrt(3) / 2 + assert s2.distance(p3) == 2 * sqrt(6) / 3 + assert s1.distance((0, 0, 0)) == 0 + assert s2.distance((0, 0, 0)) == sqrt(3) / 2 + assert s1.distance(p1) == 0 + assert s2.distance(p1) == sqrt(3) / 2 + assert s2.distance(p3) == 2 * sqrt(6) / 3 + assert s1.distance((0, 0, 0)) == 0 + assert s2.distance((0, 0, 0)) == sqrt(3) / 2 + # Line to point + assert Line3D(p1, p2).distance(Point3D(-1, 1, 1)) == 2 * sqrt(6) / 3 + assert Line3D(p1, p2).distance(Point3D(1, -1, 1)) == 2 * sqrt(6) / 3 + assert Line3D(p1, p2).distance(Point3D(2, 2, 2)) == 0 + assert Line3D(p1, p2).distance((2, 2, 2)) == 0 + assert Line3D(p1, p2).distance((1, -1, 1)) == 2 * sqrt(6) / 3 + assert Line3D((0, 0, 0), (0, 1, 0)).distance(p1) == 0 + assert Line3D((0, 0, 0), (0, 1, 0)).distance(p2) == sqrt(2) + assert Line3D((0, 0, 0), (1, 0, 0)).distance(p1) == 0 + assert Line3D((0, 0, 0), (1, 0, 0)).distance(p2) == sqrt(2) + # Line to line + assert Line3D((0, 0, 0), (1, 0, 0)).distance(Line3D((0, 0, 0), (0, 1, 2))) == 0 + assert Line3D((0, 0, 0), (1, 0, 0)).distance(Line3D((0, 0, 0), (1, 0, 0))) == 0 + assert Line3D((0, 0, 0), (1, 0, 0)).distance(Line3D((10, 0, 0), (10, 1, 2))) == 0 + assert Line3D((0, 0, 0), (1, 0, 0)).distance(Line3D((0, 1, 0), (0, 1, 1))) == 1 + # Line to plane + assert Line3D((0, 0, 0), (1, 0, 0)).distance(Plane((2, 0, 0), (0, 0, 1))) == 0 + assert Line3D((0, 0, 0), (1, 0, 0)).distance(Plane((0, 1, 0), (0, 1, 0))) == 1 + assert Line3D((0, 0, 0), (1, 0, 0)).distance(Plane((1, 1, 3), (1, 0, 0))) == 0 + # Ray to point + assert r.distance(Point3D(-1, -1, -1)) == sqrt(3) + assert r.distance(Point3D(1, 1, 1)) == 0 + assert r.distance((-1, -1, -1)) == sqrt(3) + assert r.distance((1, 1, 1)) == 0 + assert Ray3D((0, 0, 0), (1, 1, 2)).distance((-1, -1, 2)) == 4 * sqrt(3) / 3 + assert Ray3D((1, 1, 1), (2, 2, 2)).distance(Point3D(1.5, -3, -1)) == Rational(9) / 2 + assert Ray3D((1, 1, 1), (2, 2, 2)).distance(Point3D(1.5, 3, 1)) == sqrt(78) / 6 + + +def test_equals(): + p1 = Point(0, 0) + p2 = Point(1, 1) + + l1 = Line(p1, p2) + l2 = Line((0, 5), slope=m) + l3 = Line(Point(x1, x1), Point(x1, 1 + x1)) + + assert l1.perpendicular_line(p1.args).equals(Line(Point(0, 0), Point(1, -1))) + assert l1.perpendicular_line(p1).equals(Line(Point(0, 0), Point(1, -1))) + assert Line(Point(x1, x1), Point(y1, y1)).parallel_line(Point(-x1, x1)). \ + equals(Line(Point(-x1, x1), Point(-y1, 2 * x1 - y1))) + assert l3.parallel_line(p1.args).equals(Line(Point(0, 0), Point(0, -1))) + assert l3.parallel_line(p1).equals(Line(Point(0, 0), Point(0, -1))) + assert (l2.distance(Point(2, 3)) - 2 * abs(m + 1) / sqrt(m ** 2 + 1)).equals(0) + assert Line3D(p1, Point3D(0, 1, 0)).equals(Point(1.0, 1.0)) is False + assert Line3D(Point3D(0, 0, 0), Point3D(1, 0, 0)).equals(Line3D(Point3D(-5, 0, 0), Point3D(-1, 0, 0))) is True + assert Line3D(Point3D(0, 0, 0), Point3D(1, 0, 0)).equals(Line3D(p1, Point3D(0, 1, 0))) is False + assert Ray3D(p1, Point3D(0, 0, -1)).equals(Point(1.0, 1.0)) is False + assert Ray3D(p1, Point3D(0, 0, -1)).equals(Ray3D(p1, Point3D(0, 0, -1))) is True + assert Line3D((0, 0), (t, t)).perpendicular_line(Point(0, 1, 0)).equals( + Line3D(Point3D(0, 1, 0), Point3D(S.Half, S.Half, 0))) + assert Line3D((0, 0), (t, t)).perpendicular_segment(Point(0, 1, 0)).equals(Segment3D((0, 1), (S.Half, S.Half))) + assert Line3D(p1, Point3D(0, 1, 0)).equals(Point(1.0, 1.0)) is False + + +def test_equation(): + p1 = Point(0, 0) + p2 = Point(1, 1) + l1 = Line(p1, p2) + l3 = Line(Point(x1, x1), Point(x1, 1 + x1)) + + assert simplify(l1.equation()) in (x - y, y - x) + assert simplify(l3.equation()) in (x - x1, x1 - x) + assert simplify(l1.equation()) in (x - y, y - x) + assert simplify(l3.equation()) in (x - x1, x1 - x) + + assert Line(p1, Point(1, 0)).equation(x=x, y=y) == y + assert Line(p1, Point(0, 1)).equation() == x + assert Line(Point(2, 0), Point(2, 1)).equation() == x - 2 + assert Line(p2, Point(2, 1)).equation() == y - 1 + + assert Line3D(Point(x1, x1, x1), Point(y1, y1, y1) + ).equation() == (-x + y, -x + z) + assert Line3D(Point(1, 2, 3), Point(2, 3, 4) + ).equation() == (-x + y - 1, -x + z - 2) + assert Line3D(Point(1, 2, 3), Point(1, 3, 4) + ).equation() == (x - 1, -y + z - 1) + assert Line3D(Point(1, 2, 3), Point(2, 2, 4) + ).equation() == (y - 2, -x + z - 2) + assert Line3D(Point(1, 2, 3), Point(2, 3, 3) + ).equation() == (-x + y - 1, z - 3) + assert Line3D(Point(1, 2, 3), Point(1, 2, 4) + ).equation() == (x - 1, y - 2) + assert Line3D(Point(1, 2, 3), Point(1, 3, 3) + ).equation() == (x - 1, z - 3) + assert Line3D(Point(1, 2, 3), Point(2, 2, 3) + ).equation() == (y - 2, z - 3) + + +def test_intersection_2d(): + p1 = Point(0, 0) + p2 = Point(1, 1) + p3 = Point(x1, x1) + p4 = Point(y1, y1) + + l1 = Line(p1, p2) + l3 = Line(Point(0, 0), Point(3, 4)) + + r1 = Ray(Point(1, 1), Point(2, 2)) + r2 = Ray(Point(0, 0), Point(3, 4)) + r4 = Ray(p1, p2) + r6 = Ray(Point(0, 1), Point(1, 2)) + r7 = Ray(Point(0.5, 0.5), Point(1, 1)) + + s1 = Segment(p1, p2) + s2 = Segment(Point(0.25, 0.25), Point(0.5, 0.5)) + s3 = Segment(Point(0, 0), Point(3, 4)) + + assert intersection(l1, p1) == [p1] + assert intersection(l1, Point(x1, 1 + x1)) == [] + assert intersection(l1, Line(p3, p4)) in [[l1], [Line(p3, p4)]] + assert intersection(l1, l1.parallel_line(Point(x1, 1 + x1))) == [] + assert intersection(l3, l3) == [l3] + assert intersection(l3, r2) == [r2] + assert intersection(l3, s3) == [s3] + assert intersection(s3, l3) == [s3] + assert intersection(Segment(Point(-10, 10), Point(10, 10)), Segment(Point(-5, -5), Point(-5, 5))) == [] + assert intersection(r2, l3) == [r2] + assert intersection(r1, Ray(Point(2, 2), Point(0, 0))) == [Segment(Point(1, 1), Point(2, 2))] + assert intersection(r1, Ray(Point(1, 1), Point(-1, -1))) == [Point(1, 1)] + assert intersection(r1, Segment(Point(0, 0), Point(2, 2))) == [Segment(Point(1, 1), Point(2, 2))] + + assert r4.intersection(s2) == [s2] + assert r4.intersection(Segment(Point(2, 3), Point(3, 4))) == [] + assert r4.intersection(Segment(Point(-1, -1), Point(0.5, 0.5))) == [Segment(p1, Point(0.5, 0.5))] + assert r4.intersection(Ray(p2, p1)) == [s1] + assert Ray(p2, p1).intersection(r6) == [] + assert r4.intersection(r7) == r7.intersection(r4) == [r7] + assert Ray3D((0, 0), (3, 0)).intersection(Ray3D((1, 0), (3, 0))) == [Ray3D((1, 0), (3, 0))] + assert Ray3D((1, 0), (3, 0)).intersection(Ray3D((0, 0), (3, 0))) == [Ray3D((1, 0), (3, 0))] + assert Ray(Point(0, 0), Point(0, 4)).intersection(Ray(Point(0, 1), Point(0, -1))) == \ + [Segment(Point(0, 0), Point(0, 1))] + + assert Segment3D((0, 0), (3, 0)).intersection( + Segment3D((1, 0), (2, 0))) == [Segment3D((1, 0), (2, 0))] + assert Segment3D((1, 0), (2, 0)).intersection( + Segment3D((0, 0), (3, 0))) == [Segment3D((1, 0), (2, 0))] + assert Segment3D((0, 0), (3, 0)).intersection( + Segment3D((3, 0), (4, 0))) == [Point3D((3, 0))] + assert Segment3D((0, 0), (3, 0)).intersection( + Segment3D((2, 0), (5, 0))) == [Segment3D((2, 0), (3, 0))] + assert Segment3D((0, 0), (3, 0)).intersection( + Segment3D((-2, 0), (1, 0))) == [Segment3D((0, 0), (1, 0))] + assert Segment3D((0, 0), (3, 0)).intersection( + Segment3D((-2, 0), (0, 0))) == [Point3D(0, 0)] + assert s1.intersection(Segment(Point(1, 1), Point(2, 2))) == [Point(1, 1)] + assert s1.intersection(Segment(Point(0.5, 0.5), Point(1.5, 1.5))) == [Segment(Point(0.5, 0.5), p2)] + assert s1.intersection(Segment(Point(4, 4), Point(5, 5))) == [] + assert s1.intersection(Segment(Point(-1, -1), p1)) == [p1] + assert s1.intersection(Segment(Point(-1, -1), Point(0.5, 0.5))) == [Segment(p1, Point(0.5, 0.5))] + assert s1.intersection(Line(Point(1, 0), Point(2, 1))) == [] + assert s1.intersection(s2) == [s2] + assert s2.intersection(s1) == [s2] + + assert asa(120, 8, 52) == \ + Triangle( + Point(0, 0), + Point(8, 0), + Point(-4 * cos(19 * pi / 90) / sin(2 * pi / 45), + 4 * sqrt(3) * cos(19 * pi / 90) / sin(2 * pi / 45))) + assert Line((0, 0), (1, 1)).intersection(Ray((1, 0), (1, 2))) == [Point(1, 1)] + assert Line((0, 0), (1, 1)).intersection(Segment((1, 0), (1, 2))) == [Point(1, 1)] + assert Ray((0, 0), (1, 1)).intersection(Ray((1, 0), (1, 2))) == [Point(1, 1)] + assert Ray((0, 0), (1, 1)).intersection(Segment((1, 0), (1, 2))) == [Point(1, 1)] + assert Ray((0, 0), (10, 10)).contains(Segment((1, 1), (2, 2))) is True + assert Segment((1, 1), (2, 2)) in Line((0, 0), (10, 10)) + assert s1.intersection(Ray((1, 1), (4, 4))) == [Point(1, 1)] + + # This test is disabled because it hangs after rref changes which simplify + # intermediate results and return a different representation from when the + # test was written. + # # 16628 - this should be fast + # p0 = Point2D(Rational(249, 5), Rational(497999, 10000)) + # p1 = Point2D((-58977084786*sqrt(405639795226) + 2030690077184193 + + # 20112207807*sqrt(630547164901) + 99600*sqrt(255775022850776494562626)) + # /(2000*sqrt(255775022850776494562626) + 1991998000*sqrt(405639795226) + # + 1991998000*sqrt(630547164901) + 1622561172902000), + # (-498000*sqrt(255775022850776494562626) - 995999*sqrt(630547164901) + + # 90004251917891999 + + # 496005510002*sqrt(405639795226))/(10000*sqrt(255775022850776494562626) + # + 9959990000*sqrt(405639795226) + 9959990000*sqrt(630547164901) + + # 8112805864510000)) + # p2 = Point2D(Rational(497, 10), Rational(-497, 10)) + # p3 = Point2D(Rational(-497, 10), Rational(-497, 10)) + # l = Line(p0, p1) + # s = Segment(p2, p3) + # n = (-52673223862*sqrt(405639795226) - 15764156209307469 - + # 9803028531*sqrt(630547164901) + + # 33200*sqrt(255775022850776494562626)) + # d = sqrt(405639795226) + 315274080450 + 498000*sqrt( + # 630547164901) + sqrt(255775022850776494562626) + # assert intersection(l, s) == [ + # Point2D(n/d*Rational(3, 2000), Rational(-497, 10))] + + +def test_line_intersection(): + # see also test_issue_11238 in test_matrices.py + x0 = tan(pi*Rational(13, 45)) + x1 = sqrt(3) + x2 = x0**2 + x, y = [8*x0/(x0 + x1), (24*x0 - 8*x1*x2)/(x2 - 3)] + assert Line(Point(0, 0), Point(1, -sqrt(3))).contains(Point(x, y)) is True + + +def test_intersection_3d(): + p1 = Point3D(0, 0, 0) + p2 = Point3D(1, 1, 1) + + l1 = Line3D(p1, p2) + l2 = Line3D(Point3D(0, 0, 0), Point3D(3, 4, 0)) + + r1 = Ray3D(Point3D(1, 1, 1), Point3D(2, 2, 2)) + r2 = Ray3D(Point3D(0, 0, 0), Point3D(3, 4, 0)) + + s1 = Segment3D(Point3D(0, 0, 0), Point3D(3, 4, 0)) + + assert intersection(l1, p1) == [p1] + assert intersection(l1, Point3D(x1, 1 + x1, 1)) == [] + assert intersection(l1, l1.parallel_line(p1)) == [Line3D(Point3D(0, 0, 0), Point3D(1, 1, 1))] + assert intersection(l2, r2) == [r2] + assert intersection(l2, s1) == [s1] + assert intersection(r2, l2) == [r2] + assert intersection(r1, Ray3D(Point3D(1, 1, 1), Point3D(-1, -1, -1))) == [Point3D(1, 1, 1)] + assert intersection(r1, Segment3D(Point3D(0, 0, 0), Point3D(2, 2, 2))) == [ + Segment3D(Point3D(1, 1, 1), Point3D(2, 2, 2))] + assert intersection(Ray3D(Point3D(1, 0, 0), Point3D(-1, 0, 0)), Ray3D(Point3D(0, 1, 0), Point3D(0, -1, 0))) \ + == [Point3D(0, 0, 0)] + assert intersection(r1, Ray3D(Point3D(2, 2, 2), Point3D(0, 0, 0))) == \ + [Segment3D(Point3D(1, 1, 1), Point3D(2, 2, 2))] + assert intersection(s1, r2) == [s1] + + assert Line3D(Point3D(4, 0, 1), Point3D(0, 4, 1)).intersection(Line3D(Point3D(0, 0, 1), Point3D(4, 4, 1))) == \ + [Point3D(2, 2, 1)] + assert Line3D((0, 1, 2), (0, 2, 3)).intersection(Line3D((0, 1, 2), (0, 1, 1))) == [Point3D(0, 1, 2)] + assert Line3D((0, 0), (t, t)).intersection(Line3D((0, 1), (t, t))) == \ + [Point3D(t, t)] + + assert Ray3D(Point3D(0, 0, 0), Point3D(0, 4, 0)).intersection(Ray3D(Point3D(0, 1, 1), Point3D(0, -1, 1))) == [] + + +def test_is_parallel(): + p1 = Point3D(0, 0, 0) + p2 = Point3D(1, 1, 1) + p3 = Point3D(x1, x1, x1) + + l2 = Line(Point(x1, x1), Point(y1, y1)) + l2_1 = Line(Point(x1, x1), Point(x1, 1 + x1)) + + assert Line.is_parallel(Line(Point(0, 0), Point(1, 1)), l2) + assert Line.is_parallel(l2, Line(Point(x1, x1), Point(x1, 1 + x1))) is False + assert Line.is_parallel(l2, l2.parallel_line(Point(-x1, x1))) + assert Line.is_parallel(l2_1, l2_1.parallel_line(Point(0, 0))) + assert Line3D(p1, p2).is_parallel(Line3D(p1, p2)) # same as in 2D + assert Line3D(Point3D(4, 0, 1), Point3D(0, 4, 1)).is_parallel(Line3D(Point3D(0, 0, 1), Point3D(4, 4, 1))) is False + assert Line3D(p1, p2).parallel_line(p3) == Line3D(Point3D(x1, x1, x1), + Point3D(x1 + 1, x1 + 1, x1 + 1)) + assert Line3D(p1, p2).parallel_line(p3.args) == \ + Line3D(Point3D(x1, x1, x1), Point3D(x1 + 1, x1 + 1, x1 + 1)) + assert Line3D(Point3D(4, 0, 1), Point3D(0, 4, 1)).is_parallel(Line3D(Point3D(0, 0, 1), Point3D(4, 4, 1))) is False + + +def test_is_perpendicular(): + p1 = Point(0, 0) + p2 = Point(1, 1) + + l1 = Line(p1, p2) + l2 = Line(Point(x1, x1), Point(y1, y1)) + l1_1 = Line(p1, Point(-x1, x1)) + # 2D + assert Line.is_perpendicular(l1, l1_1) + assert Line.is_perpendicular(l1, l2) is False + p = l1.random_point() + assert l1.perpendicular_segment(p) == p + # 3D + assert Line3D.is_perpendicular(Line3D(Point3D(0, 0, 0), Point3D(1, 0, 0)), + Line3D(Point3D(0, 0, 0), Point3D(0, 1, 0))) is True + assert Line3D.is_perpendicular(Line3D(Point3D(0, 0, 0), Point3D(1, 0, 0)), + Line3D(Point3D(0, 1, 0), Point3D(1, 1, 0))) is False + assert Line3D.is_perpendicular(Line3D(Point3D(0, 0, 0), Point3D(1, 1, 1)), + Line3D(Point3D(x1, x1, x1), Point3D(y1, y1, y1))) is False + + +def test_is_similar(): + p1 = Point(2000, 2000) + p2 = p1.scale(2, 2) + + r1 = Ray3D(Point3D(1, 1, 1), Point3D(1, 0, 0)) + r2 = Ray(Point(0, 0), Point(0, 1)) + + s1 = Segment(Point(0, 0), p1) + + assert s1.is_similar(Segment(p1, p2)) + assert s1.is_similar(r2) is False + assert r1.is_similar(Line3D(Point3D(1, 1, 1), Point3D(1, 0, 0))) is True + assert r1.is_similar(Line3D(Point3D(0, 0, 0), Point3D(0, 1, 0))) is False + + +def test_length(): + s2 = Segment3D(Point3D(x1, x1, x1), Point3D(y1, y1, y1)) + assert Line(Point(0, 0), Point(1, 1)).length is oo + assert s2.length == sqrt(3) * sqrt((x1 - y1) ** 2) + assert Line3D(Point3D(0, 0, 0), Point3D(1, 1, 1)).length is oo + + +def test_projection(): + p1 = Point(0, 0) + p2 = Point3D(0, 0, 0) + p3 = Point(-x1, x1) + + l1 = Line(p1, Point(1, 1)) + l2 = Line3D(Point3D(0, 0, 0), Point3D(1, 0, 0)) + l3 = Line3D(p2, Point3D(1, 1, 1)) + + r1 = Ray(Point(1, 1), Point(2, 2)) + + s1 = Segment(Point2D(0, 0), Point2D(0, 1)) + s2 = Segment(Point2D(1, 0), Point2D(2, 1/2)) + + assert Line(Point(x1, x1), Point(y1, y1)).projection(Point(y1, y1)) == Point(y1, y1) + assert Line(Point(x1, x1), Point(x1, 1 + x1)).projection(Point(1, 1)) == Point(x1, 1) + assert Segment(Point(-2, 2), Point(0, 4)).projection(r1) == Segment(Point(-1, 3), Point(0, 4)) + assert Segment(Point(0, 4), Point(-2, 2)).projection(r1) == Segment(Point(0, 4), Point(-1, 3)) + assert s2.projection(s1) == EmptySet + assert l1.projection(p3) == p1 + assert l1.projection(Ray(p1, Point(-1, 5))) == Ray(Point(0, 0), Point(2, 2)) + assert l1.projection(Ray(p1, Point(-1, 1))) == p1 + assert r1.projection(Ray(Point(1, 1), Point(-1, -1))) == Point(1, 1) + assert r1.projection(Ray(Point(0, 4), Point(-1, -5))) == Segment(Point(1, 1), Point(2, 2)) + assert r1.projection(Segment(Point(-1, 5), Point(-5, -10))) == Segment(Point(1, 1), Point(2, 2)) + assert r1.projection(Ray(Point(1, 1), Point(-1, -1))) == Point(1, 1) + assert r1.projection(Ray(Point(0, 4), Point(-1, -5))) == Segment(Point(1, 1), Point(2, 2)) + assert r1.projection(Segment(Point(-1, 5), Point(-5, -10))) == Segment(Point(1, 1), Point(2, 2)) + + assert l3.projection(Ray3D(p2, Point3D(-1, 5, 0))) == Ray3D(Point3D(0, 0, 0), Point3D(Rational(4, 3), Rational(4, 3), Rational(4, 3))) + assert l3.projection(Ray3D(p2, Point3D(-1, 1, 1))) == Ray3D(Point3D(0, 0, 0), Point3D(Rational(1, 3), Rational(1, 3), Rational(1, 3))) + assert l2.projection(Point3D(5, 5, 0)) == Point3D(5, 0) + assert l2.projection(Line3D(Point3D(0, 1, 0), Point3D(1, 1, 0))).equals(l2) + + +def test_perpendicular_line(): + # 3d - requires a particular orthogonal to be selected + p1, p2, p3 = Point(0, 0, 0), Point(2, 3, 4), Point(-2, 2, 0) + l = Line(p1, p2) + p = l.perpendicular_line(p3) + assert p.p1 == p3 + assert p.p2 in l + # 2d - does not require special selection + p1, p2, p3 = Point(0, 0), Point(2, 3), Point(-2, 2) + l = Line(p1, p2) + p = l.perpendicular_line(p3) + assert p.p1 == p3 + # p is directed from l to p3 + assert p.direction.unit == (p3 - l.projection(p3)).unit + + +def test_perpendicular_bisector(): + s1 = Segment(Point(0, 0), Point(1, 1)) + aline = Line(Point(S.Half, S.Half), Point(Rational(3, 2), Rational(-1, 2))) + on_line = Segment(Point(S.Half, S.Half), Point(Rational(3, 2), Rational(-1, 2))).midpoint + + assert s1.perpendicular_bisector().equals(aline) + assert s1.perpendicular_bisector(on_line).equals(Segment(s1.midpoint, on_line)) + assert s1.perpendicular_bisector(on_line + (1, 0)).equals(aline) + + +def test_raises(): + d, e = symbols('a,b', real=True) + s = Segment((d, 0), (e, 0)) + + raises(TypeError, lambda: Line((1, 1), 1)) + raises(ValueError, lambda: Line(Point(0, 0), Point(0, 0))) + raises(Undecidable, lambda: Point(2 * d, 0) in s) + raises(ValueError, lambda: Ray3D(Point(1.0, 1.0))) + raises(ValueError, lambda: Line3D(Point3D(0, 0, 0), Point3D(0, 0, 0))) + raises(TypeError, lambda: Line3D((1, 1), 1)) + raises(ValueError, lambda: Line3D(Point3D(0, 0, 0))) + raises(TypeError, lambda: Ray((1, 1), 1)) + raises(GeometryError, lambda: Line(Point(0, 0), Point(1, 0)) + .projection(Circle(Point(0, 0), 1))) + + +def test_ray_generation(): + assert Ray((1, 1), angle=pi / 4) == Ray((1, 1), (2, 2)) + assert Ray((1, 1), angle=pi / 2) == Ray((1, 1), (1, 2)) + assert Ray((1, 1), angle=-pi / 2) == Ray((1, 1), (1, 0)) + assert Ray((1, 1), angle=-3 * pi / 2) == Ray((1, 1), (1, 2)) + assert Ray((1, 1), angle=5 * pi / 2) == Ray((1, 1), (1, 2)) + assert Ray((1, 1), angle=5.0 * pi / 2) == Ray((1, 1), (1, 2)) + assert Ray((1, 1), angle=pi) == Ray((1, 1), (0, 1)) + assert Ray((1, 1), angle=3.0 * pi) == Ray((1, 1), (0, 1)) + assert Ray((1, 1), angle=4.0 * pi) == Ray((1, 1), (2, 1)) + assert Ray((1, 1), angle=0) == Ray((1, 1), (2, 1)) + assert Ray((1, 1), angle=4.05 * pi) == Ray(Point(1, 1), + Point(2, -sqrt(5) * sqrt(2 * sqrt(5) + 10) / 4 - sqrt( + 2 * sqrt(5) + 10) / 4 + 2 + sqrt(5))) + assert Ray((1, 1), angle=4.02 * pi) == Ray(Point(1, 1), + Point(2, 1 + tan(4.02 * pi))) + assert Ray((1, 1), angle=5) == Ray((1, 1), (2, 1 + tan(5))) + + assert Ray3D((1, 1, 1), direction_ratio=[4, 4, 4]) == Ray3D(Point3D(1, 1, 1), Point3D(5, 5, 5)) + assert Ray3D((1, 1, 1), direction_ratio=[1, 2, 3]) == Ray3D(Point3D(1, 1, 1), Point3D(2, 3, 4)) + assert Ray3D((1, 1, 1), direction_ratio=[1, 1, 1]) == Ray3D(Point3D(1, 1, 1), Point3D(2, 2, 2)) + + +def test_issue_7814(): + circle = Circle(Point(x, 0), y) + line = Line(Point(k, z), slope=0) + _s = sqrt((y - z)*(y + z)) + assert line.intersection(circle) == [Point2D(x + _s, z), Point2D(x - _s, z)] + + +def test_issue_2941(): + def _check(): + for f, g in cartes(*[(Line, Ray, Segment)] * 2): + l1 = f(a, b) + l2 = g(c, d) + assert l1.intersection(l2) == l2.intersection(l1) + # intersect at end point + c, d = (-2, -2), (-2, 0) + a, b = (0, 0), (1, 1) + _check() + # midline intersection + c, d = (-2, -3), (-2, 0) + _check() + + +def test_parameter_value(): + t = Symbol('t') + p1, p2 = Point(0, 1), Point(5, 6) + l = Line(p1, p2) + assert l.parameter_value((5, 6), t) == {t: 1} + raises(ValueError, lambda: l.parameter_value((0, 0), t)) + + +def test_bisectors(): + r1 = Line3D(Point3D(0, 0, 0), Point3D(1, 0, 0)) + r2 = Line3D(Point3D(0, 0, 0), Point3D(0, 1, 0)) + bisections = r1.bisectors(r2) + assert bisections == [Line3D(Point3D(0, 0, 0), Point3D(1, 1, 0)), + Line3D(Point3D(0, 0, 0), Point3D(1, -1, 0))] + ans = [Line3D(Point3D(0, 0, 0), Point3D(1, 0, 1)), + Line3D(Point3D(0, 0, 0), Point3D(-1, 0, 1))] + l1 = (0, 0, 0), (0, 0, 1) + l2 = (0, 0), (1, 0) + for a, b in cartes((Line, Segment, Ray), repeat=2): + assert a(*l1).bisectors(b(*l2)) == ans + + +def test_issue_8615(): + a = Line3D(Point3D(6, 5, 0), Point3D(6, -6, 0)) + b = Line3D(Point3D(6, -1, 19/10), Point3D(6, -1, 0)) + assert a.intersection(b) == [Point3D(6, -1, 0)] + + +def test_issue_12598(): + r1 = Ray(Point(0, 1), Point(0.98, 0.79).n(2)) + r2 = Ray(Point(0, 0), Point(0.71, 0.71).n(2)) + assert str(r1.intersection(r2)[0]) == 'Point2D(0.82, 0.82)' + l1 = Line((0, 0), (1, 1)) + l2 = Segment((-1, 1), (0, -1)).n(2) + assert str(l1.intersection(l2)[0]) == 'Point2D(-0.33, -0.33)' + l2 = Segment((-1, 1), (-1/2, 1/2)).n(2) + assert not l1.intersection(l2) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/geometry/tests/test_parabola.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/geometry/tests/test_parabola.py new file mode 100644 index 0000000000000000000000000000000000000000..2a683f26619952d93475aca9ebd3d47cfb3657a6 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/geometry/tests/test_parabola.py @@ -0,0 +1,143 @@ +from sympy.core.numbers import (Rational, oo) +from sympy.core.singleton import S +from sympy.core.symbol import symbols +from sympy.functions.elementary.complexes import sign +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.geometry.ellipse import (Circle, Ellipse) +from sympy.geometry.line import (Line, Ray2D, Segment2D) +from sympy.geometry.parabola import Parabola +from sympy.geometry.point import (Point, Point2D) +from sympy.testing.pytest import raises + +from sympy.abc import x, y + +def test_parabola_geom(): + a, b = symbols('a b') + p1 = Point(0, 0) + p2 = Point(3, 7) + p3 = Point(0, 4) + p4 = Point(6, 0) + p5 = Point(a, a) + d1 = Line(Point(4, 0), Point(4, 9)) + d2 = Line(Point(7, 6), Point(3, 6)) + d3 = Line(Point(4, 0), slope=oo) + d4 = Line(Point(7, 6), slope=0) + d5 = Line(Point(b, a), slope=oo) + d6 = Line(Point(a, b), slope=0) + + half = S.Half + + pa1 = Parabola(None, d2) + pa2 = Parabola(directrix=d1) + pa3 = Parabola(p1, d1) + pa4 = Parabola(p2, d2) + pa5 = Parabola(p2, d4) + pa6 = Parabola(p3, d2) + pa7 = Parabola(p2, d1) + pa8 = Parabola(p4, d1) + pa9 = Parabola(p4, d3) + pa10 = Parabola(p5, d5) + pa11 = Parabola(p5, d6) + d = Line(Point(3, 7), Point(2, 9)) + pa12 = Parabola(Point(7, 8), d) + pa12r = Parabola(Point(7, 8).reflect(d), d) + + raises(ValueError, lambda: + Parabola(Point(7, 8, 9), Line(Point(6, 7), Point(7, 7)))) + raises(ValueError, lambda: + Parabola(Point(0, 2), Line(Point(7, 2), Point(6, 2)))) + raises(ValueError, lambda: Parabola(Point(7, 8), Point(3, 8))) + + # Basic Stuff + assert pa1.focus == Point(0, 0) + assert pa1.ambient_dimension == S(2) + assert pa2 == pa3 + assert pa4 != pa7 + assert pa6 != pa7 + assert pa6.focus == Point2D(0, 4) + assert pa6.focal_length == 1 + assert pa6.p_parameter == -1 + assert pa6.vertex == Point2D(0, 5) + assert pa6.eccentricity == 1 + assert pa7.focus == Point2D(3, 7) + assert pa7.focal_length == half + assert pa7.p_parameter == -half + assert pa7.vertex == Point2D(7*half, 7) + assert pa4.focal_length == half + assert pa4.p_parameter == half + assert pa4.vertex == Point2D(3, 13*half) + assert pa8.focal_length == 1 + assert pa8.p_parameter == 1 + assert pa8.vertex == Point2D(5, 0) + assert pa4.focal_length == pa5.focal_length + assert pa4.p_parameter == pa5.p_parameter + assert pa4.vertex == pa5.vertex + assert pa4.equation() == pa5.equation() + assert pa8.focal_length == pa9.focal_length + assert pa8.p_parameter == pa9.p_parameter + assert pa8.vertex == pa9.vertex + assert pa8.equation() == pa9.equation() + assert pa10.focal_length == pa11.focal_length == sqrt((a - b) ** 2) / 2 # if a, b real == abs(a - b)/2 + assert pa11.vertex == Point(*pa10.vertex[::-1]) == Point(a, + a - sqrt((a - b)**2)*sign(a - b)/2) # change axis x->y, y->x on pa10 + aos = pa12.axis_of_symmetry + assert aos == Line(Point(7, 8), Point(5, 7)) + assert pa12.directrix == Line(Point(3, 7), Point(2, 9)) + assert pa12.directrix.angle_between(aos) == S.Pi/2 + assert pa12.eccentricity == 1 + assert pa12.equation(x, y) == (x - 7)**2 + (y - 8)**2 - (-2*x - y + 13)**2/5 + assert pa12.focal_length == 9*sqrt(5)/10 + assert pa12.focus == Point(7, 8) + assert pa12.p_parameter == 9*sqrt(5)/10 + assert pa12.vertex == Point2D(S(26)/5, S(71)/10) + assert pa12r.focal_length == 9*sqrt(5)/10 + assert pa12r.focus == Point(-S(1)/5, S(22)/5) + assert pa12r.p_parameter == -9*sqrt(5)/10 + assert pa12r.vertex == Point(S(8)/5, S(53)/10) + + +def test_parabola_intersection(): + l1 = Line(Point(1, -2), Point(-1,-2)) + l2 = Line(Point(1, 2), Point(-1,2)) + l3 = Line(Point(1, 0), Point(-1,0)) + + p1 = Point(0,0) + p2 = Point(0, -2) + p3 = Point(120, -12) + parabola1 = Parabola(p1, l1) + + # parabola with parabola + assert parabola1.intersection(parabola1) == [parabola1] + assert parabola1.intersection(Parabola(p1, l2)) == [Point2D(-2, 0), Point2D(2, 0)] + assert parabola1.intersection(Parabola(p2, l3)) == [Point2D(0, -1)] + assert parabola1.intersection(Parabola(Point(16, 0), l1)) == [Point2D(8, 15)] + assert parabola1.intersection(Parabola(Point(0, 16), l1)) == [Point2D(-6, 8), Point2D(6, 8)] + assert parabola1.intersection(Parabola(p3, l3)) == [] + # parabola with point + assert parabola1.intersection(p1) == [] + assert parabola1.intersection(Point2D(0, -1)) == [Point2D(0, -1)] + assert parabola1.intersection(Point2D(4, 3)) == [Point2D(4, 3)] + # parabola with line + assert parabola1.intersection(Line(Point2D(-7, 3), Point(12, 3))) == [Point2D(-4, 3), Point2D(4, 3)] + assert parabola1.intersection(Line(Point(-4, -1), Point(4, -1))) == [Point(0, -1)] + assert parabola1.intersection(Line(Point(2, 0), Point(0, -2))) == [Point2D(2, 0)] + raises(TypeError, lambda: parabola1.intersection(Line(Point(0, 0, 0), Point(1, 1, 1)))) + # parabola with segment + assert parabola1.intersection(Segment2D((-4, -5), (4, 3))) == [Point2D(0, -1), Point2D(4, 3)] + assert parabola1.intersection(Segment2D((0, -5), (0, 6))) == [Point2D(0, -1)] + assert parabola1.intersection(Segment2D((-12, -65), (14, -68))) == [] + # parabola with ray + assert parabola1.intersection(Ray2D((-4, -5), (4, 3))) == [Point2D(0, -1), Point2D(4, 3)] + assert parabola1.intersection(Ray2D((0, 7), (1, 14))) == [Point2D(14 + 2*sqrt(57), 105 + 14*sqrt(57))] + assert parabola1.intersection(Ray2D((0, 7), (0, 14))) == [] + # parabola with ellipse/circle + assert parabola1.intersection(Circle(p1, 2)) == [Point2D(-2, 0), Point2D(2, 0)] + assert parabola1.intersection(Circle(p2, 1)) == [Point2D(0, -1)] + assert parabola1.intersection(Ellipse(p2, 2, 1)) == [Point2D(0, -1)] + assert parabola1.intersection(Ellipse(Point(0, 19), 5, 7)) == [] + assert parabola1.intersection(Ellipse((0, 3), 12, 4)) == [ + Point2D(0, -1), + Point2D(-4*sqrt(17)/3, Rational(59, 9)), + Point2D(4*sqrt(17)/3, Rational(59, 9))] + # parabola with unsupported type + raises(TypeError, lambda: parabola1.intersection(2)) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/geometry/tests/test_plane.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/geometry/tests/test_plane.py new file mode 100644 index 0000000000000000000000000000000000000000..1010fce5c3bc68348eacee13f29c1d7588f17e39 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/geometry/tests/test_plane.py @@ -0,0 +1,268 @@ +from sympy.core.numbers import (Rational, pi) +from sympy.core.singleton import S +from sympy.core.symbol import (Dummy, symbols) +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.trigonometric import (asin, cos, sin) +from sympy.geometry import Line, Point, Ray, Segment, Point3D, Line3D, Ray3D, Segment3D, Plane, Circle +from sympy.geometry.util import are_coplanar +from sympy.testing.pytest import raises + + +def test_plane(): + x, y, z, u, v = symbols('x y z u v', real=True) + p1 = Point3D(0, 0, 0) + p2 = Point3D(1, 1, 1) + p3 = Point3D(1, 2, 3) + pl3 = Plane(p1, p2, p3) + pl4 = Plane(p1, normal_vector=(1, 1, 1)) + pl4b = Plane(p1, p2) + pl5 = Plane(p3, normal_vector=(1, 2, 3)) + pl6 = Plane(Point3D(2, 3, 7), normal_vector=(2, 2, 2)) + pl7 = Plane(Point3D(1, -5, -6), normal_vector=(1, -2, 1)) + pl8 = Plane(p1, normal_vector=(0, 0, 1)) + pl9 = Plane(p1, normal_vector=(0, 12, 0)) + pl10 = Plane(p1, normal_vector=(-2, 0, 0)) + pl11 = Plane(p2, normal_vector=(0, 0, 1)) + l1 = Line3D(Point3D(5, 0, 0), Point3D(1, -1, 1)) + l2 = Line3D(Point3D(0, -2, 0), Point3D(3, 1, 1)) + l3 = Line3D(Point3D(0, -1, 0), Point3D(5, -1, 9)) + + raises(ValueError, lambda: Plane(p1, p1, p1)) + + assert Plane(p1, p2, p3) != Plane(p1, p3, p2) + assert Plane(p1, p2, p3).is_coplanar(Plane(p1, p3, p2)) + assert Plane(p1, p2, p3).is_coplanar(p1) + assert Plane(p1, p2, p3).is_coplanar(Circle(p1, 1)) is False + assert Plane(p1, normal_vector=(0, 0, 1)).is_coplanar(Circle(p1, 1)) + + assert pl3 == Plane(Point3D(0, 0, 0), normal_vector=(1, -2, 1)) + assert pl3 != pl4 + assert pl4 == pl4b + assert pl5 == Plane(Point3D(1, 2, 3), normal_vector=(1, 2, 3)) + + assert pl5.equation(x, y, z) == x + 2*y + 3*z - 14 + assert pl3.equation(x, y, z) == x - 2*y + z + + assert pl3.p1 == p1 + assert pl4.p1 == p1 + assert pl5.p1 == p3 + + assert pl4.normal_vector == (1, 1, 1) + assert pl5.normal_vector == (1, 2, 3) + + assert p1 in pl3 + assert p1 in pl4 + assert p3 in pl5 + + assert pl3.projection(Point(0, 0)) == p1 + p = pl3.projection(Point3D(1, 1, 0)) + assert p == Point3D(Rational(7, 6), Rational(2, 3), Rational(1, 6)) + assert p in pl3 + + l = pl3.projection_line(Line(Point(0, 0), Point(1, 1))) + assert l == Line3D(Point3D(0, 0, 0), Point3D(Rational(7, 6), Rational(2, 3), Rational(1, 6))) + assert l in pl3 + # get a segment that does not intersect the plane which is also + # parallel to pl3's normal veector + t = Dummy() + r = pl3.random_point() + a = pl3.perpendicular_line(r).arbitrary_point(t) + s = Segment3D(a.subs(t, 1), a.subs(t, 2)) + assert s.p1 not in pl3 and s.p2 not in pl3 + assert pl3.projection_line(s).equals(r) + assert pl3.projection_line(Segment(Point(1, 0), Point(1, 1))) == \ + Segment3D(Point3D(Rational(5, 6), Rational(1, 3), Rational(-1, 6)), Point3D(Rational(7, 6), Rational(2, 3), Rational(1, 6))) + assert pl6.projection_line(Ray(Point(1, 0), Point(1, 1))) == \ + Ray3D(Point3D(Rational(14, 3), Rational(11, 3), Rational(11, 3)), Point3D(Rational(13, 3), Rational(13, 3), Rational(10, 3))) + assert pl3.perpendicular_line(r.args) == pl3.perpendicular_line(r) + + assert pl3.is_parallel(pl6) is False + assert pl4.is_parallel(pl6) + assert pl3.is_parallel(Line(p1, p2)) + assert pl6.is_parallel(l1) is False + + assert pl3.is_perpendicular(pl6) + assert pl4.is_perpendicular(pl7) + assert pl6.is_perpendicular(pl7) + assert pl6.is_perpendicular(pl4) is False + assert pl6.is_perpendicular(l1) is False + assert pl6.is_perpendicular(Line((0, 0, 0), (1, 1, 1))) + assert pl6.is_perpendicular((1, 1)) is False + + assert pl6.distance(pl6.arbitrary_point(u, v)) == 0 + assert pl7.distance(pl7.arbitrary_point(u, v)) == 0 + assert pl6.distance(pl6.arbitrary_point(t)) == 0 + assert pl7.distance(pl7.arbitrary_point(t)) == 0 + assert pl6.p1.distance(pl6.arbitrary_point(t)).simplify() == 1 + assert pl7.p1.distance(pl7.arbitrary_point(t)).simplify() == 1 + assert pl3.arbitrary_point(t) == Point3D(-sqrt(30)*sin(t)/30 + \ + 2*sqrt(5)*cos(t)/5, sqrt(30)*sin(t)/15 + sqrt(5)*cos(t)/5, sqrt(30)*sin(t)/6) + assert pl3.arbitrary_point(u, v) == Point3D(2*u - v, u + 2*v, 5*v) + + assert pl7.distance(Point3D(1, 3, 5)) == 5*sqrt(6)/6 + assert pl6.distance(Point3D(0, 0, 0)) == 4*sqrt(3) + assert pl6.distance(pl6.p1) == 0 + assert pl7.distance(pl6) == 0 + assert pl7.distance(l1) == 0 + assert pl6.distance(Segment3D(Point3D(2, 3, 1), Point3D(1, 3, 4))) == \ + pl6.distance(Point3D(1, 3, 4)) == 4*sqrt(3)/3 + assert pl6.distance(Segment3D(Point3D(1, 3, 4), Point3D(0, 3, 7))) == \ + pl6.distance(Point3D(0, 3, 7)) == 2*sqrt(3)/3 + assert pl6.distance(Segment3D(Point3D(0, 3, 7), Point3D(-1, 3, 10))) == 0 + assert pl6.distance(Segment3D(Point3D(-1, 3, 10), Point3D(-2, 3, 13))) == 0 + assert pl6.distance(Segment3D(Point3D(-2, 3, 13), Point3D(-3, 3, 16))) == \ + pl6.distance(Point3D(-2, 3, 13)) == 2*sqrt(3)/3 + assert pl6.distance(Plane(Point3D(5, 5, 5), normal_vector=(8, 8, 8))) == sqrt(3) + assert pl6.distance(Ray3D(Point3D(1, 3, 4), direction_ratio=[1, 0, -3])) == 4*sqrt(3)/3 + assert pl6.distance(Ray3D(Point3D(2, 3, 1), direction_ratio=[-1, 0, 3])) == 0 + + + assert pl6.angle_between(pl3) == pi/2 + assert pl6.angle_between(pl6) == 0 + assert pl6.angle_between(pl4) == 0 + assert pl7.angle_between(Line3D(Point3D(2, 3, 5), Point3D(2, 4, 6))) == \ + -asin(sqrt(3)/6) + assert pl6.angle_between(Ray3D(Point3D(2, 4, 1), Point3D(6, 5, 3))) == \ + asin(sqrt(7)/3) + assert pl7.angle_between(Segment3D(Point3D(5, 6, 1), Point3D(1, 2, 4))) == \ + asin(7*sqrt(246)/246) + + assert are_coplanar(l1, l2, l3) is False + assert are_coplanar(l1) is False + assert are_coplanar(Point3D(2, 7, 2), Point3D(0, 0, 2), + Point3D(1, 1, 2), Point3D(1, 2, 2)) + assert are_coplanar(Plane(p1, p2, p3), Plane(p1, p3, p2)) + assert Plane.are_concurrent(pl3, pl4, pl5) is False + assert Plane.are_concurrent(pl6) is False + raises(ValueError, lambda: Plane.are_concurrent(Point3D(0, 0, 0))) + raises(ValueError, lambda: Plane((1, 2, 3), normal_vector=(0, 0, 0))) + + assert pl3.parallel_plane(Point3D(1, 2, 5)) == Plane(Point3D(1, 2, 5), \ + normal_vector=(1, -2, 1)) + + # perpendicular_plane + p = Plane((0, 0, 0), (1, 0, 0)) + # default + assert p.perpendicular_plane() == Plane(Point3D(0, 0, 0), (0, 1, 0)) + # 1 pt + assert p.perpendicular_plane(Point3D(1, 0, 1)) == \ + Plane(Point3D(1, 0, 1), (0, 1, 0)) + # pts as tuples + assert p.perpendicular_plane((1, 0, 1), (1, 1, 1)) == \ + Plane(Point3D(1, 0, 1), (0, 0, -1)) + # more than two planes + raises(ValueError, lambda: p.perpendicular_plane((1, 0, 1), (1, 1, 1), (1, 1, 0))) + + a, b = Point3D(0, 0, 0), Point3D(0, 1, 0) + Z = (0, 0, 1) + p = Plane(a, normal_vector=Z) + # case 4 + assert p.perpendicular_plane(a, b) == Plane(a, (1, 0, 0)) + n = Point3D(*Z) + # case 1 + assert p.perpendicular_plane(a, n) == Plane(a, (-1, 0, 0)) + # case 2 + assert Plane(a, normal_vector=b.args).perpendicular_plane(a, a + b) == \ + Plane(Point3D(0, 0, 0), (1, 0, 0)) + # case 1&3 + assert Plane(b, normal_vector=Z).perpendicular_plane(b, b + n) == \ + Plane(Point3D(0, 1, 0), (-1, 0, 0)) + # case 2&3 + assert Plane(b, normal_vector=b.args).perpendicular_plane(n, n + b) == \ + Plane(Point3D(0, 0, 1), (1, 0, 0)) + + p = Plane(a, normal_vector=(0, 0, 1)) + assert p.perpendicular_plane() == Plane(a, normal_vector=(1, 0, 0)) + + assert pl6.intersection(pl6) == [pl6] + assert pl4.intersection(pl4.p1) == [pl4.p1] + assert pl3.intersection(pl6) == [ + Line3D(Point3D(8, 4, 0), Point3D(2, 4, 6))] + assert pl3.intersection(Line3D(Point3D(1,2,4), Point3D(4,4,2))) == [ + Point3D(2, Rational(8, 3), Rational(10, 3))] + assert pl3.intersection(Plane(Point3D(6, 0, 0), normal_vector=(2, -5, 3)) + ) == [Line3D(Point3D(-24, -12, 0), Point3D(-25, -13, -1))] + assert pl6.intersection(Ray3D(Point3D(2, 3, 1), Point3D(1, 3, 4))) == [ + Point3D(-1, 3, 10)] + assert pl6.intersection(Segment3D(Point3D(2, 3, 1), Point3D(1, 3, 4))) == [] + assert pl7.intersection(Line(Point(2, 3), Point(4, 2))) == [ + Point3D(Rational(13, 2), Rational(3, 4), 0)] + r = Ray(Point(2, 3), Point(4, 2)) + assert Plane((1,2,0), normal_vector=(0,0,1)).intersection(r) == [ + Ray3D(Point(2, 3), Point(4, 2))] + assert pl9.intersection(pl8) == [Line3D(Point3D(0, 0, 0), Point3D(12, 0, 0))] + assert pl10.intersection(pl11) == [Line3D(Point3D(0, 0, 1), Point3D(0, 2, 1))] + assert pl4.intersection(pl8) == [Line3D(Point3D(0, 0, 0), Point3D(1, -1, 0))] + assert pl11.intersection(pl8) == [] + assert pl9.intersection(pl11) == [Line3D(Point3D(0, 0, 1), Point3D(12, 0, 1))] + assert pl9.intersection(pl4) == [Line3D(Point3D(0, 0, 0), Point3D(12, 0, -12))] + assert pl3.random_point() in pl3 + assert pl3.random_point(seed=1) in pl3 + + # test geometrical entity using equals + assert pl4.intersection(pl4.p1)[0].equals(pl4.p1) + assert pl3.intersection(pl6)[0].equals(Line3D(Point3D(8, 4, 0), Point3D(2, 4, 6))) + pl8 = Plane((1, 2, 0), normal_vector=(0, 0, 1)) + assert pl8.intersection(Line3D(p1, (1, 12, 0)))[0].equals(Line((0, 0, 0), (0.1, 1.2, 0))) + assert pl8.intersection(Ray3D(p1, (1, 12, 0)))[0].equals(Ray((0, 0, 0), (1, 12, 0))) + assert pl8.intersection(Segment3D(p1, (21, 1, 0)))[0].equals(Segment3D(p1, (21, 1, 0))) + assert pl8.intersection(Plane(p1, normal_vector=(0, 0, 112)))[0].equals(pl8) + assert pl8.intersection(Plane(p1, normal_vector=(0, 12, 0)))[0].equals( + Line3D(p1, direction_ratio=(112 * pi, 0, 0))) + assert pl8.intersection(Plane(p1, normal_vector=(11, 0, 1)))[0].equals( + Line3D(p1, direction_ratio=(0, -11, 0))) + assert pl8.intersection(Plane(p1, normal_vector=(1, 0, 11)))[0].equals( + Line3D(p1, direction_ratio=(0, 11, 0))) + assert pl8.intersection(Plane(p1, normal_vector=(-1, -1, -11)))[0].equals( + Line3D(p1, direction_ratio=(1, -1, 0))) + assert pl3.random_point() in pl3 + assert len(pl8.intersection(Ray3D(Point3D(0, 2, 3), Point3D(1, 0, 3)))) == 0 + # check if two plane are equals + assert pl6.intersection(pl6)[0].equals(pl6) + assert pl8.equals(Plane(p1, normal_vector=(0, 12, 0))) is False + assert pl8.equals(pl8) + assert pl8.equals(Plane(p1, normal_vector=(0, 0, -12))) + assert pl8.equals(Plane(p1, normal_vector=(0, 0, -12*sqrt(3)))) + assert pl8.equals(p1) is False + + # issue 8570 + l2 = Line3D(Point3D(Rational(50000004459633, 5000000000000), + Rational(-891926590718643, 1000000000000000), + Rational(231800966893633, 100000000000000)), + Point3D(Rational(50000004459633, 50000000000000), + Rational(-222981647679771, 250000000000000), + Rational(231800966893633, 100000000000000))) + + p2 = Plane(Point3D(Rational(402775636372767, 100000000000000), + Rational(-97224357654973, 100000000000000), + Rational(216793600814789, 100000000000000)), + (-S('9.00000087501922'), -S('4.81170658872543e-13'), + S('0.0'))) + + assert str([i.n(2) for i in p2.intersection(l2)]) == \ + '[Point3D(4.0, -0.89, 2.3)]' + + +def test_dimension_normalization(): + A = Plane(Point3D(1, 1, 2), normal_vector=(1, 1, 1)) + b = Point(1, 1) + assert A.projection(b) == Point(Rational(5, 3), Rational(5, 3), Rational(2, 3)) + + a, b = Point(0, 0), Point3D(0, 1) + Z = (0, 0, 1) + p = Plane(a, normal_vector=Z) + assert p.perpendicular_plane(a, b) == Plane(Point3D(0, 0, 0), (1, 0, 0)) + assert Plane((1, 2, 1), (2, 1, 0), (3, 1, 2) + ).intersection((2, 1)) == [Point(2, 1, 0)] + + +def test_parameter_value(): + t, u, v = symbols("t, u v") + p1, p2, p3 = Point(0, 0, 0), Point(0, 0, 1), Point(0, 1, 0) + p = Plane(p1, p2, p3) + assert p.parameter_value((0, -3, 2), t) == {t: asin(2*sqrt(13)/13)} + assert p.parameter_value((0, -3, 2), u, v) == {u: 3, v: 2} + assert p.parameter_value(p1, t) == p1 + raises(ValueError, lambda: p.parameter_value((1, 0, 0), t)) + raises(ValueError, lambda: p.parameter_value(Line(Point(0, 0), Point(1, 1)), t)) + raises(ValueError, lambda: p.parameter_value((0, -3, 2), t, 1)) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/geometry/tests/test_point.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/geometry/tests/test_point.py new file mode 100644 index 0000000000000000000000000000000000000000..1f2b2768eb3fba2009f702351de1aac3ed6e71d4 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/geometry/tests/test_point.py @@ -0,0 +1,481 @@ +from sympy.core.basic import Basic +from sympy.core.numbers import (I, Rational, pi) +from sympy.core.parameters import evaluate +from sympy.core.singleton import S +from sympy.core.symbol import Symbol +from sympy.core.sympify import sympify +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.geometry import Line, Point, Point2D, Point3D, Line3D, Plane +from sympy.geometry.entity import rotate, scale, translate, GeometryEntity +from sympy.matrices import Matrix +from sympy.utilities.iterables import subsets, permutations, cartes +from sympy.utilities.misc import Undecidable +from sympy.testing.pytest import raises, warns + + +def test_point(): + x = Symbol('x', real=True) + y = Symbol('y', real=True) + x1 = Symbol('x1', real=True) + x2 = Symbol('x2', real=True) + y1 = Symbol('y1', real=True) + y2 = Symbol('y2', real=True) + half = S.Half + p1 = Point(x1, x2) + p2 = Point(y1, y2) + p3 = Point(0, 0) + p4 = Point(1, 1) + p5 = Point(0, 1) + line = Line(Point(1, 0), slope=1) + + assert p1 in p1 + assert p1 not in p2 + assert p2.y == y2 + assert (p3 + p4) == p4 + assert (p2 - p1) == Point(y1 - x1, y2 - x2) + assert -p2 == Point(-y1, -y2) + raises(TypeError, lambda: Point(1)) + raises(ValueError, lambda: Point([1])) + raises(ValueError, lambda: Point(3, I)) + raises(ValueError, lambda: Point(2*I, I)) + raises(ValueError, lambda: Point(3 + I, I)) + + assert Point(34.05, sqrt(3)) == Point(Rational(681, 20), sqrt(3)) + assert Point.midpoint(p3, p4) == Point(half, half) + assert Point.midpoint(p1, p4) == Point(half + half*x1, half + half*x2) + assert Point.midpoint(p2, p2) == p2 + assert p2.midpoint(p2) == p2 + assert p1.origin == Point(0, 0) + + assert Point.distance(p3, p4) == sqrt(2) + assert Point.distance(p1, p1) == 0 + assert Point.distance(p3, p2) == sqrt(p2.x**2 + p2.y**2) + raises(TypeError, lambda: Point.distance(p1, 0)) + raises(TypeError, lambda: Point.distance(p1, GeometryEntity())) + + # distance should be symmetric + assert p1.distance(line) == line.distance(p1) + assert p4.distance(line) == line.distance(p4) + + assert Point.taxicab_distance(p4, p3) == 2 + + assert Point.canberra_distance(p4, p5) == 1 + raises(ValueError, lambda: Point.canberra_distance(p3, p3)) + + p1_1 = Point(x1, x1) + p1_2 = Point(y2, y2) + p1_3 = Point(x1 + 1, x1) + assert Point.is_collinear(p3) + + with warns(UserWarning, test_stacklevel=False): + assert Point.is_collinear(p3, Point(p3, dim=4)) + assert p3.is_collinear() + assert Point.is_collinear(p3, p4) + assert Point.is_collinear(p3, p4, p1_1, p1_2) + assert Point.is_collinear(p3, p4, p1_1, p1_3) is False + assert Point.is_collinear(p3, p3, p4, p5) is False + + raises(TypeError, lambda: Point.is_collinear(line)) + raises(TypeError, lambda: p1_1.is_collinear(line)) + + assert p3.intersection(Point(0, 0)) == [p3] + assert p3.intersection(p4) == [] + assert p3.intersection(line) == [] + with warns(UserWarning, test_stacklevel=False): + assert Point.intersection(Point(0, 0, 0), Point(0, 0)) == [Point(0, 0, 0)] + + x_pos = Symbol('x', positive=True) + p2_1 = Point(x_pos, 0) + p2_2 = Point(0, x_pos) + p2_3 = Point(-x_pos, 0) + p2_4 = Point(0, -x_pos) + p2_5 = Point(x_pos, 5) + assert Point.is_concyclic(p2_1) + assert Point.is_concyclic(p2_1, p2_2) + assert Point.is_concyclic(p2_1, p2_2, p2_3, p2_4) + for pts in permutations((p2_1, p2_2, p2_3, p2_5)): + assert Point.is_concyclic(*pts) is False + assert Point.is_concyclic(p4, p4 * 2, p4 * 3) is False + assert Point(0, 0).is_concyclic((1, 1), (2, 2), (2, 1)) is False + assert Point.is_concyclic(Point(0, 0, 0, 0), Point(1, 0, 0, 0), Point(1, 1, 0, 0), Point(1, 1, 1, 0)) is False + + assert p1.is_scalar_multiple(p1) + assert p1.is_scalar_multiple(2*p1) + assert not p1.is_scalar_multiple(p2) + assert Point.is_scalar_multiple(Point(1, 1), (-1, -1)) + assert Point.is_scalar_multiple(Point(0, 0), (0, -1)) + # test when is_scalar_multiple can't be determined + raises(Undecidable, lambda: Point.is_scalar_multiple(Point(sympify("x1%y1"), sympify("x2%y2")), Point(0, 1))) + + assert Point(0, 1).orthogonal_direction == Point(1, 0) + assert Point(1, 0).orthogonal_direction == Point(0, 1) + + assert p1.is_zero is None + assert p3.is_zero + assert p4.is_zero is False + assert p1.is_nonzero is None + assert p3.is_nonzero is False + assert p4.is_nonzero + + assert p4.scale(2, 3) == Point(2, 3) + assert p3.scale(2, 3) == p3 + + assert p4.rotate(pi, Point(0.5, 0.5)) == p3 + assert p1.__radd__(p2) == p1.midpoint(p2).scale(2, 2) + assert (-p3).__rsub__(p4) == p3.midpoint(p4).scale(2, 2) + + assert p4 * 5 == Point(5, 5) + assert p4 / 5 == Point(0.2, 0.2) + assert 5 * p4 == Point(5, 5) + + raises(ValueError, lambda: Point(0, 0) + 10) + + # Point differences should be simplified + assert Point(x*(x - 1), y) - Point(x**2 - x, y + 1) == Point(0, -1) + + a, b = S.Half, Rational(1, 3) + assert Point(a, b).evalf(2) == \ + Point(a.n(2), b.n(2), evaluate=False) + raises(ValueError, lambda: Point(1, 2) + 1) + + # test project + assert Point.project((0, 1), (1, 0)) == Point(0, 0) + assert Point.project((1, 1), (1, 0)) == Point(1, 0) + raises(ValueError, lambda: Point.project(p1, Point(0, 0))) + + # test transformations + p = Point(1, 0) + assert p.rotate(pi/2) == Point(0, 1) + assert p.rotate(pi/2, p) == p + p = Point(1, 1) + assert p.scale(2, 3) == Point(2, 3) + assert p.translate(1, 2) == Point(2, 3) + assert p.translate(1) == Point(2, 1) + assert p.translate(y=1) == Point(1, 2) + assert p.translate(*p.args) == Point(2, 2) + + # Check invalid input for transform + raises(ValueError, lambda: p3.transform(p3)) + raises(ValueError, lambda: p.transform(Matrix([[1, 0], [0, 1]]))) + + # test __contains__ + assert 0 in Point(0, 0, 0, 0) + assert 1 not in Point(0, 0, 0, 0) + + # test affine_rank + assert Point.affine_rank() == -1 + + +def test_point3D(): + x = Symbol('x', real=True) + y = Symbol('y', real=True) + x1 = Symbol('x1', real=True) + x2 = Symbol('x2', real=True) + x3 = Symbol('x3', real=True) + y1 = Symbol('y1', real=True) + y2 = Symbol('y2', real=True) + y3 = Symbol('y3', real=True) + half = S.Half + p1 = Point3D(x1, x2, x3) + p2 = Point3D(y1, y2, y3) + p3 = Point3D(0, 0, 0) + p4 = Point3D(1, 1, 1) + p5 = Point3D(0, 1, 2) + + assert p1 in p1 + assert p1 not in p2 + assert p2.y == y2 + assert (p3 + p4) == p4 + assert (p2 - p1) == Point3D(y1 - x1, y2 - x2, y3 - x3) + assert -p2 == Point3D(-y1, -y2, -y3) + + assert Point(34.05, sqrt(3)) == Point(Rational(681, 20), sqrt(3)) + assert Point3D.midpoint(p3, p4) == Point3D(half, half, half) + assert Point3D.midpoint(p1, p4) == Point3D(half + half*x1, half + half*x2, + half + half*x3) + assert Point3D.midpoint(p2, p2) == p2 + assert p2.midpoint(p2) == p2 + + assert Point3D.distance(p3, p4) == sqrt(3) + assert Point3D.distance(p1, p1) == 0 + assert Point3D.distance(p3, p2) == sqrt(p2.x**2 + p2.y**2 + p2.z**2) + + p1_1 = Point3D(x1, x1, x1) + p1_2 = Point3D(y2, y2, y2) + p1_3 = Point3D(x1 + 1, x1, x1) + Point3D.are_collinear(p3) + assert Point3D.are_collinear(p3, p4) + assert Point3D.are_collinear(p3, p4, p1_1, p1_2) + assert Point3D.are_collinear(p3, p4, p1_1, p1_3) is False + assert Point3D.are_collinear(p3, p3, p4, p5) is False + + assert p3.intersection(Point3D(0, 0, 0)) == [p3] + assert p3.intersection(p4) == [] + + + assert p4 * 5 == Point3D(5, 5, 5) + assert p4 / 5 == Point3D(0.2, 0.2, 0.2) + assert 5 * p4 == Point3D(5, 5, 5) + + raises(ValueError, lambda: Point3D(0, 0, 0) + 10) + + # Test coordinate properties + assert p1.coordinates == (x1, x2, x3) + assert p2.coordinates == (y1, y2, y3) + assert p3.coordinates == (0, 0, 0) + assert p4.coordinates == (1, 1, 1) + assert p5.coordinates == (0, 1, 2) + assert p5.x == 0 + assert p5.y == 1 + assert p5.z == 2 + + # Point differences should be simplified + assert Point3D(x*(x - 1), y, 2) - Point3D(x**2 - x, y + 1, 1) == \ + Point3D(0, -1, 1) + + a, b, c = S.Half, Rational(1, 3), Rational(1, 4) + assert Point3D(a, b, c).evalf(2) == \ + Point(a.n(2), b.n(2), c.n(2), evaluate=False) + raises(ValueError, lambda: Point3D(1, 2, 3) + 1) + + # test transformations + p = Point3D(1, 1, 1) + assert p.scale(2, 3) == Point3D(2, 3, 1) + assert p.translate(1, 2) == Point3D(2, 3, 1) + assert p.translate(1) == Point3D(2, 1, 1) + assert p.translate(z=1) == Point3D(1, 1, 2) + assert p.translate(*p.args) == Point3D(2, 2, 2) + + # Test __new__ + assert Point3D(0.1, 0.2, evaluate=False, on_morph='ignore').args[0].is_Float + + # Test length property returns correctly + assert p.length == 0 + assert p1_1.length == 0 + assert p1_2.length == 0 + + # Test are_colinear type error + raises(TypeError, lambda: Point3D.are_collinear(p, x)) + + # Test are_coplanar + assert Point.are_coplanar() + assert Point.are_coplanar((1, 2, 0), (1, 2, 0), (1, 3, 0)) + assert Point.are_coplanar((1, 2, 0), (1, 2, 3)) + with warns(UserWarning, test_stacklevel=False): + raises(ValueError, lambda: Point2D.are_coplanar((1, 2), (1, 2, 3))) + assert Point3D.are_coplanar((1, 2, 0), (1, 2, 3)) + assert Point.are_coplanar((0, 0, 0), (1, 1, 0), (1, 1, 1), (1, 2, 1)) is False + planar2 = Point3D(1, -1, 1) + planar3 = Point3D(-1, 1, 1) + assert Point3D.are_coplanar(p, planar2, planar3) == True + assert Point3D.are_coplanar(p, planar2, planar3, p3) == False + assert Point.are_coplanar(p, planar2) + planar2 = Point3D(1, 1, 2) + planar3 = Point3D(1, 1, 3) + assert Point3D.are_coplanar(p, planar2, planar3) # line, not plane + plane = Plane((1, 2, 1), (2, 1, 0), (3, 1, 2)) + assert Point.are_coplanar(*[plane.projection(((-1)**i, i)) for i in range(4)]) + + # all 2D points are coplanar + assert Point.are_coplanar(Point(x, y), Point(x, x + y), Point(y, x + 2)) is True + + # Test Intersection + assert planar2.intersection(Line3D(p, planar3)) == [Point3D(1, 1, 2)] + + # Test Scale + assert planar2.scale(1, 1, 1) == planar2 + assert planar2.scale(2, 2, 2, planar3) == Point3D(1, 1, 1) + assert planar2.scale(1, 1, 1, p3) == planar2 + + # Test Transform + identity = Matrix([[1, 0, 0, 0], [0, 1, 0, 0], [0, 0, 1, 0], [0, 0, 0, 1]]) + assert p.transform(identity) == p + trans = Matrix([[1, 0, 0, 1], [0, 1, 0, 1], [0, 0, 1, 1], [0, 0, 0, 1]]) + assert p.transform(trans) == Point3D(2, 2, 2) + raises(ValueError, lambda: p.transform(p)) + raises(ValueError, lambda: p.transform(Matrix([[1, 0], [0, 1]]))) + + # Test Equals + assert p.equals(x1) == False + + # Test __sub__ + p_4d = Point(0, 0, 0, 1) + with warns(UserWarning, test_stacklevel=False): + assert p - p_4d == Point(1, 1, 1, -1) + p_4d3d = Point(0, 0, 1, 0) + with warns(UserWarning, test_stacklevel=False): + assert p - p_4d3d == Point(1, 1, 0, 0) + + +def test_Point2D(): + + # Test Distance + p1 = Point2D(1, 5) + p2 = Point2D(4, 2.5) + p3 = (6, 3) + assert p1.distance(p2) == sqrt(61)/2 + assert p2.distance(p3) == sqrt(17)/2 + + # Test coordinates + assert p1.x == 1 + assert p1.y == 5 + assert p2.x == 4 + assert p2.y == S(5)/2 + assert p1.coordinates == (1, 5) + assert p2.coordinates == (4, S(5)/2) + + # test bounds + assert p1.bounds == (1, 5, 1, 5) + +def test_issue_9214(): + p1 = Point3D(4, -2, 6) + p2 = Point3D(1, 2, 3) + p3 = Point3D(7, 2, 3) + + assert Point3D.are_collinear(p1, p2, p3) is False + + +def test_issue_11617(): + p1 = Point3D(1,0,2) + p2 = Point2D(2,0) + + with warns(UserWarning, test_stacklevel=False): + assert p1.distance(p2) == sqrt(5) + + +def test_transform(): + p = Point(1, 1) + assert p.transform(rotate(pi/2)) == Point(-1, 1) + assert p.transform(scale(3, 2)) == Point(3, 2) + assert p.transform(translate(1, 2)) == Point(2, 3) + assert Point(1, 1).scale(2, 3, (4, 5)) == \ + Point(-2, -7) + assert Point(1, 1).translate(4, 5) == \ + Point(5, 6) + + +def test_concyclic_doctest_bug(): + p1, p2 = Point(-1, 0), Point(1, 0) + p3, p4 = Point(0, 1), Point(-1, 2) + assert Point.is_concyclic(p1, p2, p3) + assert not Point.is_concyclic(p1, p2, p3, p4) + + +def test_arguments(): + """Functions accepting `Point` objects in `geometry` + should also accept tuples and lists and + automatically convert them to points.""" + + singles2d = ((1,2), [1,2], Point(1,2)) + singles2d2 = ((1,3), [1,3], Point(1,3)) + doubles2d = cartes(singles2d, singles2d2) + p2d = Point2D(1,2) + singles3d = ((1,2,3), [1,2,3], Point(1,2,3)) + doubles3d = subsets(singles3d, 2) + p3d = Point3D(1,2,3) + singles4d = ((1,2,3,4), [1,2,3,4], Point(1,2,3,4)) + doubles4d = subsets(singles4d, 2) + p4d = Point(1,2,3,4) + + # test 2D + test_single = ['distance', 'is_scalar_multiple', 'taxicab_distance', 'midpoint', 'intersection', 'dot', 'equals', '__add__', '__sub__'] + test_double = ['is_concyclic', 'is_collinear'] + for p in singles2d: + Point2D(p) + for func in test_single: + for p in singles2d: + getattr(p2d, func)(p) + for func in test_double: + for p in doubles2d: + getattr(p2d, func)(*p) + + # test 3D + test_double = ['is_collinear'] + for p in singles3d: + Point3D(p) + for func in test_single: + for p in singles3d: + getattr(p3d, func)(p) + for func in test_double: + for p in doubles3d: + getattr(p3d, func)(*p) + + # test 4D + test_double = ['is_collinear'] + for p in singles4d: + Point(p) + for func in test_single: + for p in singles4d: + getattr(p4d, func)(p) + for func in test_double: + for p in doubles4d: + getattr(p4d, func)(*p) + + # test evaluate=False for ops + x = Symbol('x') + a = Point(0, 1) + assert a + (0.1, x) == Point(0.1, 1 + x, evaluate=False) + a = Point(0, 1) + assert a/10.0 == Point(0, 0.1, evaluate=False) + a = Point(0, 1) + assert a*10.0 == Point(0, 10.0, evaluate=False) + + # test evaluate=False when changing dimensions + u = Point(.1, .2, evaluate=False) + u4 = Point(u, dim=4, on_morph='ignore') + assert u4.args == (.1, .2, 0, 0) + assert all(i.is_Float for i in u4.args[:2]) + # and even when *not* changing dimensions + assert all(i.is_Float for i in Point(u).args) + + # never raise error if creating an origin + assert Point(dim=3, on_morph='error') + + # raise error with unmatched dimension + raises(ValueError, lambda: Point(1, 1, dim=3, on_morph='error')) + # test unknown on_morph + raises(ValueError, lambda: Point(1, 1, dim=3, on_morph='unknown')) + # test invalid expressions + raises(TypeError, lambda: Point(Basic(), Basic())) + +def test_unit(): + assert Point(1, 1).unit == Point(sqrt(2)/2, sqrt(2)/2) + + +def test_dot(): + raises(TypeError, lambda: Point(1, 2).dot(Line((0, 0), (1, 1)))) + + +def test__normalize_dimension(): + assert Point._normalize_dimension(Point(1, 2), Point(3, 4)) == [ + Point(1, 2), Point(3, 4)] + assert Point._normalize_dimension( + Point(1, 2), Point(3, 4, 0), on_morph='ignore') == [ + Point(1, 2, 0), Point(3, 4, 0)] + + +def test_issue_22684(): + # Used to give an error + with evaluate(False): + Point(1, 2) + + +def test_direction_cosine(): + p1 = Point3D(0, 0, 0) + p2 = Point3D(1, 1, 1) + + assert p1.direction_cosine(Point3D(1, 0, 0)) == [1, 0, 0] + assert p1.direction_cosine(Point3D(0, 1, 0)) == [0, 1, 0] + assert p1.direction_cosine(Point3D(0, 0, pi)) == [0, 0, 1] + + assert p1.direction_cosine(Point3D(5, 0, 0)) == [1, 0, 0] + assert p1.direction_cosine(Point3D(0, sqrt(3), 0)) == [0, 1, 0] + assert p1.direction_cosine(Point3D(0, 0, 5)) == [0, 0, 1] + + assert p1.direction_cosine(Point3D(2.4, 2.4, 0)) == [sqrt(2)/2, sqrt(2)/2, 0] + assert p1.direction_cosine(Point3D(1, 1, 1)) == [sqrt(3) / 3, sqrt(3) / 3, sqrt(3) / 3] + assert p1.direction_cosine(Point3D(-12, 0 -15)) == [-4*sqrt(41)/41, -5*sqrt(41)/41, 0] + + assert p2.direction_cosine(Point3D(0, 0, 0)) == [-sqrt(3) / 3, -sqrt(3) / 3, -sqrt(3) / 3] + assert p2.direction_cosine(Point3D(1, 1, 12)) == [0, 0, 1] + assert p2.direction_cosine(Point3D(12, 1, 12)) == [sqrt(2) / 2, 0, sqrt(2) / 2] diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/geometry/tests/test_polygon.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/geometry/tests/test_polygon.py new file mode 100644 index 0000000000000000000000000000000000000000..520023349f363bdb12146465305c2a5650c80934 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/geometry/tests/test_polygon.py @@ -0,0 +1,676 @@ +from sympy.core.numbers import (Float, Rational, oo, pi) +from sympy.core.singleton import S +from sympy.core.symbol import (Symbol, symbols) +from sympy.functions.elementary.complexes import Abs +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.trigonometric import (acos, cos, sin) +from sympy.functions.elementary.trigonometric import tan +from sympy.geometry import (Circle, Ellipse, GeometryError, Point, Point2D, + Polygon, Ray, RegularPolygon, Segment, Triangle, + are_similar, convex_hull, intersection, Line, Ray2D) +from sympy.testing.pytest import raises, slow, warns +from sympy.core.random import verify_numerically +from sympy.geometry.polygon import rad, deg +from sympy.integrals.integrals import integrate +from sympy.utilities.iterables import rotate_left + + +def feq(a, b): + """Test if two floating point values are 'equal'.""" + t_float = Float("1.0E-10") + return -t_float < a - b < t_float + +@slow +def test_polygon(): + x = Symbol('x', real=True) + y = Symbol('y', real=True) + q = Symbol('q', real=True) + u = Symbol('u', real=True) + v = Symbol('v', real=True) + w = Symbol('w', real=True) + x1 = Symbol('x1', real=True) + half = S.Half + a, b, c = Point(0, 0), Point(2, 0), Point(3, 3) + t = Triangle(a, b, c) + assert Polygon(Point(0, 0)) == Point(0, 0) + assert Polygon(a, Point(1, 0), b, c) == t + assert Polygon(Point(1, 0), b, c, a) == t + assert Polygon(b, c, a, Point(1, 0)) == t + # 2 "remove folded" tests + assert Polygon(a, Point(3, 0), b, c) == t + assert Polygon(a, b, Point(3, -1), b, c) == t + # remove multiple collinear points + assert Polygon(Point(-4, 15), Point(-11, 15), Point(-15, 15), + Point(-15, 33/5), Point(-15, -87/10), Point(-15, -15), + Point(-42/5, -15), Point(-2, -15), Point(7, -15), Point(15, -15), + Point(15, -3), Point(15, 10), Point(15, 15)) == \ + Polygon(Point(-15, -15), Point(15, -15), Point(15, 15), Point(-15, 15)) + + p1 = Polygon( + Point(0, 0), Point(3, -1), + Point(6, 0), Point(4, 5), + Point(2, 3), Point(0, 3)) + p2 = Polygon( + Point(6, 0), Point(3, -1), + Point(0, 0), Point(0, 3), + Point(2, 3), Point(4, 5)) + p3 = Polygon( + Point(0, 0), Point(3, 0), + Point(5, 2), Point(4, 4)) + p4 = Polygon( + Point(0, 0), Point(4, 4), + Point(5, 2), Point(3, 0)) + p5 = Polygon( + Point(0, 0), Point(4, 4), + Point(0, 4)) + p6 = Polygon( + Point(-11, 1), Point(-9, 6.6), + Point(-4, -3), Point(-8.4, -8.7)) + p7 = Polygon( + Point(x, y), Point(q, u), + Point(v, w)) + p8 = Polygon( + Point(x, y), Point(v, w), + Point(q, u)) + p9 = Polygon( + Point(0, 0), Point(4, 4), + Point(3, 0), Point(5, 2)) + p10 = Polygon( + Point(0, 2), Point(2, 2), + Point(0, 0), Point(2, 0)) + p11 = Polygon(Point(0, 0), 1, n=3) + p12 = Polygon(Point(0, 0), 1, 0, n=3) + p13 = Polygon( + Point(0, 0),Point(8, 8), + Point(23, 20),Point(0, 20)) + p14 = Polygon(*rotate_left(p13.args, 1)) + + + r = Ray(Point(-9, 6.6), Point(-9, 5.5)) + # + # General polygon + # + assert p1 == p2 + assert len(p1.args) == 6 + assert len(p1.sides) == 6 + assert p1.perimeter == 5 + 2*sqrt(10) + sqrt(29) + sqrt(8) + assert p1.area == 22 + assert not p1.is_convex() + assert Polygon((-1, 1), (2, -1), (2, 1), (-1, -1), (3, 0) + ).is_convex() is False + # ensure convex for both CW and CCW point specification + assert p3.is_convex() + assert p4.is_convex() + dict5 = p5.angles + assert dict5[Point(0, 0)] == pi / 4 + assert dict5[Point(0, 4)] == pi / 2 + assert p5.encloses_point(Point(x, y)) is None + assert p5.encloses_point(Point(1, 3)) + assert p5.encloses_point(Point(0, 0)) is False + assert p5.encloses_point(Point(4, 0)) is False + assert p1.encloses(Circle(Point(2.5, 2.5), 5)) is False + assert p1.encloses(Ellipse(Point(2.5, 2), 5, 6)) is False + assert p5.plot_interval('x') == [x, 0, 1] + assert p5.distance( + Polygon(Point(10, 10), Point(14, 14), Point(10, 14))) == 6 * sqrt(2) + assert p5.distance( + Polygon(Point(1, 8), Point(5, 8), Point(8, 12), Point(1, 12))) == 4 + with warns(UserWarning, \ + match="Polygons may intersect producing erroneous output"): + Polygon(Point(0, 0), Point(1, 0), Point(1, 1)).distance( + Polygon(Point(0, 0), Point(0, 1), Point(1, 1))) + assert hash(p5) == hash(Polygon(Point(0, 0), Point(4, 4), Point(0, 4))) + assert hash(p1) == hash(p2) + assert hash(p7) == hash(p8) + assert hash(p3) != hash(p9) + assert p5 == Polygon(Point(4, 4), Point(0, 4), Point(0, 0)) + assert Polygon(Point(4, 4), Point(0, 4), Point(0, 0)) in p5 + assert p5 != Point(0, 4) + assert Point(0, 1) in p5 + assert p5.arbitrary_point('t').subs(Symbol('t', real=True), 0) == \ + Point(0, 0) + raises(ValueError, lambda: Polygon( + Point(x, 0), Point(0, y), Point(x, y)).arbitrary_point('x')) + assert p6.intersection(r) == [Point(-9, Rational(-84, 13)), Point(-9, Rational(33, 5))] + assert p10.area == 0 + assert p11 == RegularPolygon(Point(0, 0), 1, 3, 0) + assert p11 == p12 + assert p11.vertices[0] == Point(1, 0) + assert p11.args[0] == Point(0, 0) + p11.spin(pi/2) + assert p11.vertices[0] == Point(0, 1) + # + # Regular polygon + # + p1 = RegularPolygon(Point(0, 0), 10, 5) + p2 = RegularPolygon(Point(0, 0), 5, 5) + raises(GeometryError, lambda: RegularPolygon(Point(0, 0), Point(0, + 1), Point(1, 1))) + raises(GeometryError, lambda: RegularPolygon(Point(0, 0), 1, 2)) + raises(ValueError, lambda: RegularPolygon(Point(0, 0), 1, 2.5)) + + assert p1 != p2 + assert p1.interior_angle == pi*Rational(3, 5) + assert p1.exterior_angle == pi*Rational(2, 5) + assert p2.apothem == 5*cos(pi/5) + assert p2.circumcenter == p1.circumcenter == Point(0, 0) + assert p1.circumradius == p1.radius == 10 + assert p2.circumcircle == Circle(Point(0, 0), 5) + assert p2.incircle == Circle(Point(0, 0), p2.apothem) + assert p2.inradius == p2.apothem == (5 * (1 + sqrt(5)) / 4) + p2.spin(pi / 10) + dict1 = p2.angles + assert dict1[Point(0, 5)] == 3 * pi / 5 + assert p1.is_convex() + assert p1.rotation == 0 + assert p1.encloses_point(Point(0, 0)) + assert p1.encloses_point(Point(11, 0)) is False + assert p2.encloses_point(Point(0, 4.9)) + p1.spin(pi/3) + assert p1.rotation == pi/3 + assert p1.vertices[0] == Point(5, 5*sqrt(3)) + for var in p1.args: + if isinstance(var, Point): + assert var == Point(0, 0) + else: + assert var in (5, 10, pi / 3) + assert p1 != Point(0, 0) + assert p1 != p5 + + # while spin works in place (notice that rotation is 2pi/3 below) + # rotate returns a new object + p1_old = p1 + assert p1.rotate(pi/3) == RegularPolygon(Point(0, 0), 10, 5, pi*Rational(2, 3)) + assert p1 == p1_old + + assert p1.area == (-250*sqrt(5) + 1250)/(4*tan(pi/5)) + assert p1.length == 20*sqrt(-sqrt(5)/8 + Rational(5, 8)) + assert p1.scale(2, 2) == \ + RegularPolygon(p1.center, p1.radius*2, p1._n, p1.rotation) + assert RegularPolygon((0, 0), 1, 4).scale(2, 3) == \ + Polygon(Point(2, 0), Point(0, 3), Point(-2, 0), Point(0, -3)) + + assert repr(p1) == str(p1) + + # + # Angles + # + angles = p4.angles + assert feq(angles[Point(0, 0)].evalf(), Float("0.7853981633974483")) + assert feq(angles[Point(4, 4)].evalf(), Float("1.2490457723982544")) + assert feq(angles[Point(5, 2)].evalf(), Float("1.8925468811915388")) + assert feq(angles[Point(3, 0)].evalf(), Float("2.3561944901923449")) + + angles = p3.angles + assert feq(angles[Point(0, 0)].evalf(), Float("0.7853981633974483")) + assert feq(angles[Point(4, 4)].evalf(), Float("1.2490457723982544")) + assert feq(angles[Point(5, 2)].evalf(), Float("1.8925468811915388")) + assert feq(angles[Point(3, 0)].evalf(), Float("2.3561944901923449")) + + # https://github.com/sympy/sympy/issues/24885 + interior_angles_sum = sum(p13.angles.values()) + assert feq(interior_angles_sum, (len(p13.angles) - 2)*pi ) + interior_angles_sum = sum(p14.angles.values()) + assert feq(interior_angles_sum, (len(p14.angles) - 2)*pi ) + + # + # Triangle + # + p1 = Point(0, 0) + p2 = Point(5, 0) + p3 = Point(0, 5) + t1 = Triangle(p1, p2, p3) + t2 = Triangle(p1, p2, Point(Rational(5, 2), sqrt(Rational(75, 4)))) + t3 = Triangle(p1, Point(x1, 0), Point(0, x1)) + s1 = t1.sides + assert Triangle(p1, p2, p1) == Polygon(p1, p2, p1) == Segment(p1, p2) + raises(GeometryError, lambda: Triangle(Point(0, 0))) + + # Basic stuff + assert Triangle(p1, p1, p1) == p1 + assert Triangle(p2, p2*2, p2*3) == Segment(p2, p2*3) + assert t1.area == Rational(25, 2) + assert t1.is_right() + assert t2.is_right() is False + assert t3.is_right() + assert p1 in t1 + assert t1.sides[0] in t1 + assert Segment((0, 0), (1, 0)) in t1 + assert Point(5, 5) not in t2 + assert t1.is_convex() + assert feq(t1.angles[p1].evalf(), pi.evalf()/2) + + assert t1.is_equilateral() is False + assert t2.is_equilateral() + assert t3.is_equilateral() is False + assert are_similar(t1, t2) is False + assert are_similar(t1, t3) + assert are_similar(t2, t3) is False + assert t1.is_similar(Point(0, 0)) is False + assert t1.is_similar(t2) is False + + # Bisectors + bisectors = t1.bisectors() + assert bisectors[p1] == Segment( + p1, Point(Rational(5, 2), Rational(5, 2))) + assert t2.bisectors()[p2] == Segment( + Point(5, 0), Point(Rational(5, 4), 5*sqrt(3)/4)) + p4 = Point(0, x1) + assert t3.bisectors()[p4] == Segment(p4, Point(x1*(sqrt(2) - 1), 0)) + ic = (250 - 125*sqrt(2))/50 + assert t1.incenter == Point(ic, ic) + + # Inradius + assert t1.inradius == t1.incircle.radius == 5 - 5*sqrt(2)/2 + assert t2.inradius == t2.incircle.radius == 5*sqrt(3)/6 + assert t3.inradius == t3.incircle.radius == x1**2/((2 + sqrt(2))*Abs(x1)) + + # Exradius + assert t1.exradii[t1.sides[2]] == 5*sqrt(2)/2 + + # Excenters + assert t1.excenters[t1.sides[2]] == Point2D(25*sqrt(2), -5*sqrt(2)/2) + + # Circumcircle + assert t1.circumcircle.center == Point(2.5, 2.5) + + # Medians + Centroid + m = t1.medians + assert t1.centroid == Point(Rational(5, 3), Rational(5, 3)) + assert m[p1] == Segment(p1, Point(Rational(5, 2), Rational(5, 2))) + assert t3.medians[p1] == Segment(p1, Point(x1/2, x1/2)) + assert intersection(m[p1], m[p2], m[p3]) == [t1.centroid] + assert t1.medial == Triangle(Point(2.5, 0), Point(0, 2.5), Point(2.5, 2.5)) + + # Nine-point circle + assert t1.nine_point_circle == Circle(Point(2.5, 0), + Point(0, 2.5), Point(2.5, 2.5)) + assert t1.nine_point_circle == Circle(Point(0, 0), + Point(0, 2.5), Point(2.5, 2.5)) + + # Perpendicular + altitudes = t1.altitudes + assert altitudes[p1] == Segment(p1, Point(Rational(5, 2), Rational(5, 2))) + assert altitudes[p2].equals(s1[0]) + assert altitudes[p3] == s1[2] + assert t1.orthocenter == p1 + t = S('''Triangle( + Point(100080156402737/5000000000000, 79782624633431/500000000000), + Point(39223884078253/2000000000000, 156345163124289/1000000000000), + Point(31241359188437/1250000000000, 338338270939941/1000000000000000))''') + assert t.orthocenter == S('''Point(-780660869050599840216997''' + '''79471538701955848721853/80368430960602242240789074233100000000000000,''' + '''20151573611150265741278060334545897615974257/16073686192120448448157''' + '''8148466200000000000)''') + + # Ensure + assert len(intersection(*bisectors.values())) == 1 + assert len(intersection(*altitudes.values())) == 1 + assert len(intersection(*m.values())) == 1 + + # Distance + p1 = Polygon( + Point(0, 0), Point(1, 0), + Point(1, 1), Point(0, 1)) + p2 = Polygon( + Point(0, Rational(5)/4), Point(1, Rational(5)/4), + Point(1, Rational(9)/4), Point(0, Rational(9)/4)) + p3 = Polygon( + Point(1, 2), Point(2, 2), + Point(2, 1)) + p4 = Polygon( + Point(1, 1), Point(Rational(6)/5, 1), + Point(1, Rational(6)/5)) + pt1 = Point(half, half) + pt2 = Point(1, 1) + + '''Polygon to Point''' + assert p1.distance(pt1) == half + assert p1.distance(pt2) == 0 + assert p2.distance(pt1) == Rational(3)/4 + assert p3.distance(pt2) == sqrt(2)/2 + + '''Polygon to Polygon''' + # p1.distance(p2) emits a warning + with warns(UserWarning, \ + match="Polygons may intersect producing erroneous output"): + assert p1.distance(p2) == half/2 + + assert p1.distance(p3) == sqrt(2)/2 + + # p3.distance(p4) emits a warning + with warns(UserWarning, \ + match="Polygons may intersect producing erroneous output"): + assert p3.distance(p4) == (sqrt(2)/2 - sqrt(Rational(2)/25)/2) + + +def test_convex_hull(): + p = [Point(-5, -1), Point(-2, 1), Point(-2, -1), Point(-1, -3), \ + Point(0, 0), Point(1, 1), Point(2, 2), Point(2, -1), Point(3, 1), \ + Point(4, -1), Point(6, 2)] + ch = Polygon(p[0], p[3], p[9], p[10], p[6], p[1]) + #test handling of duplicate points + p.append(p[3]) + + #more than 3 collinear points + another_p = [Point(-45, -85), Point(-45, 85), Point(-45, 26), \ + Point(-45, -24)] + ch2 = Segment(another_p[0], another_p[1]) + + assert convex_hull(*another_p) == ch2 + assert convex_hull(*p) == ch + assert convex_hull(p[0]) == p[0] + assert convex_hull(p[0], p[1]) == Segment(p[0], p[1]) + + # no unique points + assert convex_hull(*[p[-1]]*3) == p[-1] + + # collection of items + assert convex_hull(*[Point(0, 0), \ + Segment(Point(1, 0), Point(1, 1)), \ + RegularPolygon(Point(2, 0), 2, 4)]) == \ + Polygon(Point(0, 0), Point(2, -2), Point(4, 0), Point(2, 2)) + + +def test_encloses(): + # square with a dimpled left side + s = Polygon(Point(0, 0), Point(1, 0), Point(1, 1), Point(0, 1), \ + Point(S.Half, S.Half)) + # the following is True if the polygon isn't treated as closing on itself + assert s.encloses(Point(0, S.Half)) is False + assert s.encloses(Point(S.Half, S.Half)) is False # it's a vertex + assert s.encloses(Point(Rational(3, 4), S.Half)) is True + + +def test_triangle_kwargs(): + assert Triangle(sss=(3, 4, 5)) == \ + Triangle(Point(0, 0), Point(3, 0), Point(3, 4)) + assert Triangle(asa=(30, 2, 30)) == \ + Triangle(Point(0, 0), Point(2, 0), Point(1, sqrt(3)/3)) + assert Triangle(sas=(1, 45, 2)) == \ + Triangle(Point(0, 0), Point(2, 0), Point(sqrt(2)/2, sqrt(2)/2)) + assert Triangle(sss=(1, 2, 5)) is None + assert deg(rad(180)) == 180 + + +def test_transform(): + pts = [Point(0, 0), Point(S.Half, Rational(1, 4)), Point(1, 1)] + pts_out = [Point(-4, -10), Point(-3, Rational(-37, 4)), Point(-2, -7)] + assert Triangle(*pts).scale(2, 3, (4, 5)) == Triangle(*pts_out) + assert RegularPolygon((0, 0), 1, 4).scale(2, 3, (4, 5)) == \ + Polygon(Point(-2, -10), Point(-4, -7), Point(-6, -10), Point(-4, -13)) + # Checks for symmetric scaling + assert RegularPolygon((0, 0), 1, 4).scale(2, 2) == \ + RegularPolygon(Point2D(0, 0), 2, 4, 0) + +def test_reflect(): + x = Symbol('x', real=True) + y = Symbol('y', real=True) + b = Symbol('b') + m = Symbol('m') + l = Line((0, b), slope=m) + p = Point(x, y) + r = p.reflect(l) + dp = l.perpendicular_segment(p).length + dr = l.perpendicular_segment(r).length + + assert verify_numerically(dp, dr) + + assert Polygon((1, 0), (2, 0), (2, 2)).reflect(Line((3, 0), slope=oo)) \ + == Triangle(Point(5, 0), Point(4, 0), Point(4, 2)) + assert Polygon((1, 0), (2, 0), (2, 2)).reflect(Line((0, 3), slope=oo)) \ + == Triangle(Point(-1, 0), Point(-2, 0), Point(-2, 2)) + assert Polygon((1, 0), (2, 0), (2, 2)).reflect(Line((0, 3), slope=0)) \ + == Triangle(Point(1, 6), Point(2, 6), Point(2, 4)) + assert Polygon((1, 0), (2, 0), (2, 2)).reflect(Line((3, 0), slope=0)) \ + == Triangle(Point(1, 0), Point(2, 0), Point(2, -2)) + +def test_bisectors(): + p1, p2, p3 = Point(0, 0), Point(1, 0), Point(0, 1) + p = Polygon(Point(0, 0), Point(2, 0), Point(1, 1), Point(0, 3)) + q = Polygon(Point(1, 0), Point(2, 0), Point(3, 3), Point(-1, 5)) + poly = Polygon(Point(3, 4), Point(0, 0), Point(8, 7), Point(-1, 1), Point(19, -19)) + t = Triangle(p1, p2, p3) + assert t.bisectors()[p2] == Segment(Point(1, 0), Point(0, sqrt(2) - 1)) + assert p.bisectors()[Point2D(0, 3)] == Ray2D(Point2D(0, 3), \ + Point2D(sin(acos(2*sqrt(5)/5)/2), 3 - cos(acos(2*sqrt(5)/5)/2))) + assert q.bisectors()[Point2D(-1, 5)] == \ + Ray2D(Point2D(-1, 5), Point2D(-1 + sqrt(29)*(5*sin(acos(9*sqrt(145)/145)/2) + \ + 2*cos(acos(9*sqrt(145)/145)/2))/29, sqrt(29)*(-5*cos(acos(9*sqrt(145)/145)/2) + \ + 2*sin(acos(9*sqrt(145)/145)/2))/29 + 5)) + assert poly.bisectors()[Point2D(-1, 1)] == Ray2D(Point2D(-1, 1), \ + Point2D(-1 + sin(acos(sqrt(26)/26)/2 + pi/4), 1 - sin(-acos(sqrt(26)/26)/2 + pi/4))) + +def test_incenter(): + assert Triangle(Point(0, 0), Point(1, 0), Point(0, 1)).incenter \ + == Point(1 - sqrt(2)/2, 1 - sqrt(2)/2) + +def test_inradius(): + assert Triangle(Point(0, 0), Point(4, 0), Point(0, 3)).inradius == 1 + +def test_incircle(): + assert Triangle(Point(0, 0), Point(2, 0), Point(0, 2)).incircle \ + == Circle(Point(2 - sqrt(2), 2 - sqrt(2)), 2 - sqrt(2)) + +def test_exradii(): + t = Triangle(Point(0, 0), Point(6, 0), Point(0, 2)) + assert t.exradii[t.sides[2]] == (-2 + sqrt(10)) + +def test_medians(): + t = Triangle(Point(0, 0), Point(1, 0), Point(0, 1)) + assert t.medians[Point(0, 0)] == Segment(Point(0, 0), Point(S.Half, S.Half)) + +def test_medial(): + assert Triangle(Point(0, 0), Point(1, 0), Point(0, 1)).medial \ + == Triangle(Point(S.Half, 0), Point(S.Half, S.Half), Point(0, S.Half)) + +def test_nine_point_circle(): + assert Triangle(Point(0, 0), Point(1, 0), Point(0, 1)).nine_point_circle \ + == Circle(Point2D(Rational(1, 4), Rational(1, 4)), sqrt(2)/4) + +def test_eulerline(): + assert Triangle(Point(0, 0), Point(1, 0), Point(0, 1)).eulerline \ + == Line(Point2D(0, 0), Point2D(S.Half, S.Half)) + assert Triangle(Point(0, 0), Point(10, 0), Point(5, 5*sqrt(3))).eulerline \ + == Point2D(5, 5*sqrt(3)/3) + assert Triangle(Point(4, -6), Point(4, -1), Point(-3, 3)).eulerline \ + == Line(Point2D(Rational(64, 7), 3), Point2D(Rational(-29, 14), Rational(-7, 2))) + +def test_intersection(): + poly1 = Triangle(Point(0, 0), Point(1, 0), Point(0, 1)) + poly2 = Polygon(Point(0, 1), Point(-5, 0), + Point(0, -4), Point(0, Rational(1, 5)), + Point(S.Half, -0.1), Point(1, 0), Point(0, 1)) + + assert poly1.intersection(poly2) == [Point2D(Rational(1, 3), 0), + Segment(Point(0, Rational(1, 5)), Point(0, 0)), + Segment(Point(1, 0), Point(0, 1))] + assert poly2.intersection(poly1) == [Point(Rational(1, 3), 0), + Segment(Point(0, 0), Point(0, Rational(1, 5))), + Segment(Point(1, 0), Point(0, 1))] + assert poly1.intersection(Point(0, 0)) == [Point(0, 0)] + assert poly1.intersection(Point(-12, -43)) == [] + assert poly2.intersection(Line((-12, 0), (12, 0))) == [Point(-5, 0), + Point(0, 0), Point(Rational(1, 3), 0), Point(1, 0)] + assert poly2.intersection(Line((-12, 12), (12, 12))) == [] + assert poly2.intersection(Ray((-3, 4), (1, 0))) == [Segment(Point(1, 0), + Point(0, 1))] + assert poly2.intersection(Circle((0, -1), 1)) == [Point(0, -2), + Point(0, 0)] + assert poly1.intersection(poly1) == [Segment(Point(0, 0), Point(1, 0)), + Segment(Point(0, 1), Point(0, 0)), Segment(Point(1, 0), Point(0, 1))] + assert poly2.intersection(poly2) == [Segment(Point(-5, 0), Point(0, -4)), + Segment(Point(0, -4), Point(0, Rational(1, 5))), + Segment(Point(0, Rational(1, 5)), Point(S.Half, Rational(-1, 10))), + Segment(Point(0, 1), Point(-5, 0)), + Segment(Point(S.Half, Rational(-1, 10)), Point(1, 0)), + Segment(Point(1, 0), Point(0, 1))] + assert poly2.intersection(Triangle(Point(0, 1), Point(1, 0), Point(-1, 1))) \ + == [Point(Rational(-5, 7), Rational(6, 7)), Segment(Point2D(0, 1), Point(1, 0))] + assert poly1.intersection(RegularPolygon((-12, -15), 3, 3)) == [] + + +def test_parameter_value(): + t = Symbol('t') + sq = Polygon((0, 0), (0, 1), (1, 1), (1, 0)) + assert sq.parameter_value((0.5, 1), t) == {t: Rational(3, 8)} + q = Polygon((0, 0), (2, 1), (2, 4), (4, 0)) + assert q.parameter_value((4, 0), t) == {t: -6 + 3*sqrt(5)} # ~= 0.708 + + raises(ValueError, lambda: sq.parameter_value((5, 6), t)) + raises(ValueError, lambda: sq.parameter_value(Circle(Point(0, 0), 1), t)) + + +def test_issue_12966(): + poly = Polygon(Point(0, 0), Point(0, 10), Point(5, 10), Point(5, 5), + Point(10, 5), Point(10, 0)) + t = Symbol('t') + pt = poly.arbitrary_point(t) + DELTA = 5/poly.perimeter + assert [pt.subs(t, DELTA*i) for i in range(int(1/DELTA))] == [ + Point(0, 0), Point(0, 5), Point(0, 10), Point(5, 10), + Point(5, 5), Point(10, 5), Point(10, 0), Point(5, 0)] + + +def test_second_moment_of_area(): + x, y = symbols('x, y') + # triangle + p1, p2, p3 = [(0, 0), (4, 0), (0, 2)] + p = (0, 0) + # equation of hypotenuse + eq_y = (1-x/4)*2 + I_yy = integrate((x**2) * (integrate(1, (y, 0, eq_y))), (x, 0, 4)) + I_xx = integrate(1 * (integrate(y**2, (y, 0, eq_y))), (x, 0, 4)) + I_xy = integrate(x * (integrate(y, (y, 0, eq_y))), (x, 0, 4)) + + triangle = Polygon(p1, p2, p3) + + assert (I_xx - triangle.second_moment_of_area(p)[0]) == 0 + assert (I_yy - triangle.second_moment_of_area(p)[1]) == 0 + assert (I_xy - triangle.second_moment_of_area(p)[2]) == 0 + + # rectangle + p1, p2, p3, p4=[(0, 0), (4, 0), (4, 2), (0, 2)] + I_yy = integrate((x**2) * integrate(1, (y, 0, 2)), (x, 0, 4)) + I_xx = integrate(1 * integrate(y**2, (y, 0, 2)), (x, 0, 4)) + I_xy = integrate(x * integrate(y, (y, 0, 2)), (x, 0, 4)) + + rectangle = Polygon(p1, p2, p3, p4) + + assert (I_xx - rectangle.second_moment_of_area(p)[0]) == 0 + assert (I_yy - rectangle.second_moment_of_area(p)[1]) == 0 + assert (I_xy - rectangle.second_moment_of_area(p)[2]) == 0 + + + r = RegularPolygon(Point(0, 0), 5, 3) + assert r.second_moment_of_area() == (1875*sqrt(3)/S(32), 1875*sqrt(3)/S(32), 0) + + +def test_first_moment(): + a, b = symbols('a, b', positive=True) + # rectangle + p1 = Polygon((0, 0), (a, 0), (a, b), (0, b)) + assert p1.first_moment_of_area() == (a*b**2/8, a**2*b/8) + assert p1.first_moment_of_area((a/3, b/4)) == (-3*a*b**2/32, -a**2*b/9) + + p1 = Polygon((0, 0), (40, 0), (40, 30), (0, 30)) + assert p1.first_moment_of_area() == (4500, 6000) + + # triangle + p2 = Polygon((0, 0), (a, 0), (a/2, b)) + assert p2.first_moment_of_area() == (4*a*b**2/81, a**2*b/24) + assert p2.first_moment_of_area((a/8, b/6)) == (-25*a*b**2/648, -5*a**2*b/768) + + p2 = Polygon((0, 0), (12, 0), (12, 30)) + assert p2.first_moment_of_area() == (S(1600)/3, -S(640)/3) + + +def test_section_modulus_and_polar_second_moment_of_area(): + a, b = symbols('a, b', positive=True) + x, y = symbols('x, y') + rectangle = Polygon((0, b), (0, 0), (a, 0), (a, b)) + assert rectangle.section_modulus(Point(x, y)) == (a*b**3/12/(-b/2 + y), a**3*b/12/(-a/2 + x)) + assert rectangle.polar_second_moment_of_area() == a**3*b/12 + a*b**3/12 + + convex = RegularPolygon((0, 0), 1, 6) + assert convex.section_modulus() == (Rational(5, 8), sqrt(3)*Rational(5, 16)) + assert convex.polar_second_moment_of_area() == 5*sqrt(3)/S(8) + + concave = Polygon((0, 0), (1, 8), (3, 4), (4, 6), (7, 1)) + assert concave.section_modulus() == (Rational(-6371, 429), Rational(-9778, 519)) + assert concave.polar_second_moment_of_area() == Rational(-38669, 252) + + +def test_cut_section(): + # concave polygon + p = Polygon((-1, -1), (1, Rational(5, 2)), (2, 1), (3, Rational(5, 2)), (4, 2), (5, 3), (-1, 3)) + l = Line((0, 0), (Rational(9, 2), 3)) + p1 = p.cut_section(l)[0] + p2 = p.cut_section(l)[1] + assert p1 == Polygon( + Point2D(Rational(-9, 13), Rational(-6, 13)), Point2D(1, Rational(5, 2)), Point2D(Rational(24, 13), Rational(16, 13)), + Point2D(Rational(12, 5), Rational(8, 5)), Point2D(3, Rational(5, 2)), Point2D(Rational(24, 7), Rational(16, 7)), + Point2D(Rational(9, 2), 3), Point2D(-1, 3), Point2D(-1, Rational(-2, 3))) + assert p2 == Polygon(Point2D(-1, -1), Point2D(Rational(-9, 13), Rational(-6, 13)), Point2D(Rational(24, 13), Rational(16, 13)), + Point2D(2, 1), Point2D(Rational(12, 5), Rational(8, 5)), Point2D(Rational(24, 7), Rational(16, 7)), Point2D(4, 2), Point2D(5, 3), + Point2D(Rational(9, 2), 3), Point2D(-1, Rational(-2, 3))) + + # convex polygon + p = RegularPolygon(Point2D(0, 0), 6, 6) + s = p.cut_section(Line((0, 0), slope=1)) + assert s[0] == Polygon(Point2D(-3*sqrt(3) + 9, -3*sqrt(3) + 9), Point2D(3, 3*sqrt(3)), + Point2D(-3, 3*sqrt(3)), Point2D(-6, 0), Point2D(-9 + 3*sqrt(3), -9 + 3*sqrt(3))) + assert s[1] == Polygon(Point2D(6, 0), Point2D(-3*sqrt(3) + 9, -3*sqrt(3) + 9), + Point2D(-9 + 3*sqrt(3), -9 + 3*sqrt(3)), Point2D(-3, -3*sqrt(3)), Point2D(3, -3*sqrt(3))) + + # case where line does not intersects but coincides with the edge of polygon + a, b = 20, 10 + t1, t2, t3, t4 = [(0, b), (0, 0), (a, 0), (a, b)] + p = Polygon(t1, t2, t3, t4) + p1, p2 = p.cut_section(Line((0, b), slope=0)) + assert p1 == None + assert p2 == Polygon(Point2D(0, 10), Point2D(0, 0), Point2D(20, 0), Point2D(20, 10)) + + p3, p4 = p.cut_section(Line((0, 0), slope=0)) + assert p3 == Polygon(Point2D(0, 10), Point2D(0, 0), Point2D(20, 0), Point2D(20, 10)) + assert p4 == None + + # case where the line does not intersect with a polygon at all + raises(ValueError, lambda: p.cut_section(Line((0, a), slope=0))) + +def test_type_of_triangle(): + # Isoceles triangle + p1 = Polygon(Point(0, 0), Point(5, 0), Point(2, 4)) + assert p1.is_isosceles() == True + assert p1.is_scalene() == False + assert p1.is_equilateral() == False + + # Scalene triangle + p2 = Polygon (Point(0, 0), Point(0, 2), Point(4, 0)) + assert p2.is_isosceles() == False + assert p2.is_scalene() == True + assert p2.is_equilateral() == False + + # Equilateral triangle + p3 = Polygon(Point(0, 0), Point(6, 0), Point(3, sqrt(27))) + assert p3.is_isosceles() == True + assert p3.is_scalene() == False + assert p3.is_equilateral() == True + +def test_do_poly_distance(): + # Non-intersecting polygons + square1 = Polygon (Point(0, 0), Point(0, 1), Point(1, 1), Point(1, 0)) + triangle1 = Polygon(Point(1, 2), Point(2, 2), Point(2, 1)) + assert square1._do_poly_distance(triangle1) == sqrt(2)/2 + + # Polygons which sides intersect + square2 = Polygon(Point(1, 0), Point(2, 0), Point(2, 1), Point(1, 1)) + with warns(UserWarning, \ + match="Polygons may intersect producing erroneous output", test_stacklevel=False): + assert square1._do_poly_distance(square2) == 0 + + # Polygons which bodies intersect + triangle2 = Polygon(Point(0, -1), Point(2, -1), Point(S.Half, S.Half)) + with warns(UserWarning, \ + match="Polygons may intersect producing erroneous output", test_stacklevel=False): + assert triangle2._do_poly_distance(square1) == 0 diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/geometry/tests/test_util.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/geometry/tests/test_util.py new file mode 100644 index 0000000000000000000000000000000000000000..da52a795a9383c6438ca06303e8ae6506dccdc65 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/geometry/tests/test_util.py @@ -0,0 +1,170 @@ +import pytest +from sympy.core.numbers import Float +from sympy.core.function import (Derivative, Function) +from sympy.core.singleton import S +from sympy.core.symbol import Symbol +from sympy.functions import exp, cos, sin, tan, cosh, sinh +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.geometry import Point, Point2D, Line, Polygon, Segment, convex_hull,\ + intersection, centroid, Point3D, Line3D, Ray, Ellipse +from sympy.geometry.util import idiff, closest_points, farthest_points, _ordered_points, are_coplanar +from sympy.solvers.solvers import solve +from sympy.testing.pytest import raises + + +def test_idiff(): + x = Symbol('x', real=True) + y = Symbol('y', real=True) + t = Symbol('t', real=True) + f = Function('f') + g = Function('g') + # the use of idiff in ellipse also provides coverage + circ = x**2 + y**2 - 4 + ans = -3*x*(x**2/y**2 + 1)/y**3 + assert ans == idiff(circ, y, x, 3), idiff(circ, y, x, 3) + assert ans == idiff(circ, [y], x, 3) + assert idiff(circ, y, x, 3) == ans + explicit = 12*x/sqrt(-x**2 + 4)**5 + assert ans.subs(y, solve(circ, y)[0]).equals(explicit) + assert True in [sol.diff(x, 3).equals(explicit) for sol in solve(circ, y)] + assert idiff(x + t + y, [y, t], x) == -Derivative(t, x) - 1 + assert idiff(f(x) * exp(f(x)) - x * exp(x), f(x), x) == (x + 1)*exp(x)*exp(-f(x))/(f(x) + 1) + assert idiff(f(x) - y * exp(x), [f(x), y], x) == (y + Derivative(y, x))*exp(x) + assert idiff(f(x) - y * exp(x), [y, f(x)], x) == -y + Derivative(f(x), x)*exp(-x) + assert idiff(f(x) - g(x), [f(x), g(x)], x) == Derivative(g(x), x) + # this should be fast + fxy = y - (-10*(-sin(x) + 1/x)**2 + tan(x)**2 + 2*cosh(x/10)) + assert idiff(fxy, y, x) == -20*sin(x)*cos(x) + 2*tan(x)**3 + \ + 2*tan(x) + sinh(x/10)/5 + 20*cos(x)/x - 20*sin(x)/x**2 + 20/x**3 + + +def test_intersection(): + assert intersection(Point(0, 0)) == [] + raises(TypeError, lambda: intersection(Point(0, 0), 3)) + assert intersection( + Segment((0, 0), (2, 0)), + Segment((-1, 0), (1, 0)), + Line((0, 0), (0, 1)), pairwise=True) == [ + Point(0, 0), Segment((0, 0), (1, 0))] + assert intersection( + Line((0, 0), (0, 1)), + Segment((0, 0), (2, 0)), + Segment((-1, 0), (1, 0)), pairwise=True) == [ + Point(0, 0), Segment((0, 0), (1, 0))] + assert intersection( + Line((0, 0), (0, 1)), + Segment((0, 0), (2, 0)), + Segment((-1, 0), (1, 0)), + Line((0, 0), slope=1), pairwise=True) == [ + Point(0, 0), Segment((0, 0), (1, 0))] + R = 4.0 + c = intersection( + Ray(Point2D(0.001, -1), + Point2D(0.0008, -1.7)), + Ellipse(center=Point2D(0, 0), hradius=R, vradius=2.0), pairwise=True)[0].coordinates + assert c == pytest.approx( + Point2D(0.000714285723396502, -1.99999996811224, evaluate=False).coordinates) + # check this is responds to a lower precision parameter + R = Float(4, 5) + c2 = intersection( + Ray(Point2D(0.001, -1), + Point2D(0.0008, -1.7)), + Ellipse(center=Point2D(0, 0), hradius=R, vradius=2.0), pairwise=True)[0].coordinates + assert c2 == pytest.approx( + Point2D(0.000714285723396502, -1.99999996811224, evaluate=False).coordinates) + assert c[0]._prec == 53 + assert c2[0]._prec == 20 + + +def test_convex_hull(): + raises(TypeError, lambda: convex_hull(Point(0, 0), 3)) + points = [(1, -1), (1, -2), (3, -1), (-5, -2), (15, -4)] + assert convex_hull(*points, **{"polygon": False}) == ( + [Point2D(-5, -2), Point2D(1, -1), Point2D(3, -1), Point2D(15, -4)], + [Point2D(-5, -2), Point2D(15, -4)]) + + +def test_centroid(): + p = Polygon((0, 0), (10, 0), (10, 10)) + q = p.translate(0, 20) + assert centroid(p, q) == Point(20, 40)/3 + p = Segment((0, 0), (2, 0)) + q = Segment((0, 0), (2, 2)) + assert centroid(p, q) == Point(1, -sqrt(2) + 2) + assert centroid(Point(0, 0), Point(2, 0)) == Point(2, 0)/2 + assert centroid(Point(0, 0), Point(0, 0), Point(2, 0)) == Point(2, 0)/3 + + +def test_farthest_points_closest_points(): + from sympy.core.random import randint + from sympy.utilities.iterables import subsets + + for how in (min, max): + if how == min: + func = closest_points + else: + func = farthest_points + + raises(ValueError, lambda: func(Point2D(0, 0), Point2D(0, 0))) + + # 3rd pt dx is close and pt is closer to 1st pt + p1 = [Point2D(0, 0), Point2D(3, 0), Point2D(1, 1)] + # 3rd pt dx is close and pt is closer to 2nd pt + p2 = [Point2D(0, 0), Point2D(3, 0), Point2D(2, 1)] + # 3rd pt dx is close and but pt is not closer + p3 = [Point2D(0, 0), Point2D(3, 0), Point2D(1, 10)] + # 3rd pt dx is not closer and it's closer to 2nd pt + p4 = [Point2D(0, 0), Point2D(3, 0), Point2D(4, 0)] + # 3rd pt dx is not closer and it's closer to 1st pt + p5 = [Point2D(0, 0), Point2D(3, 0), Point2D(-1, 0)] + # duplicate point doesn't affect outcome + dup = [Point2D(0, 0), Point2D(3, 0), Point2D(3, 0), Point2D(-1, 0)] + # symbolic + x = Symbol('x', positive=True) + s = [Point2D(a) for a in ((x, 1), (x + 3, 2), (x + 2, 2))] + + for points in (p1, p2, p3, p4, p5, dup, s): + d = how(i.distance(j) for i, j in subsets(set(points), 2)) + ans = a, b = list(func(*points))[0] + assert a.distance(b) == d + assert ans == _ordered_points(ans) + + # if the following ever fails, the above tests were not sufficient + # and the logical error in the routine should be fixed + points = set() + while len(points) != 7: + points.add(Point2D(randint(1, 100), randint(1, 100))) + points = list(points) + d = how(i.distance(j) for i, j in subsets(points, 2)) + ans = a, b = list(func(*points))[0] + assert a.distance(b) == d + assert ans == _ordered_points(ans) + + # equidistant points + a, b, c = ( + Point2D(0, 0), Point2D(1, 0), Point2D(S.Half, sqrt(3)/2)) + ans = {_ordered_points((i, j)) + for i, j in subsets((a, b, c), 2)} + assert closest_points(b, c, a) == ans + assert farthest_points(b, c, a) == ans + + # unique to farthest + points = [(1, 1), (1, 2), (3, 1), (-5, 2), (15, 4)] + assert farthest_points(*points) == { + (Point2D(-5, 2), Point2D(15, 4))} + points = [(1, -1), (1, -2), (3, -1), (-5, -2), (15, -4)] + assert farthest_points(*points) == { + (Point2D(-5, -2), Point2D(15, -4))} + assert farthest_points((1, 1), (0, 0)) == { + 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0000000000000000000000000000000000000000..49956419e917b3bc81a163d29862c539f33f6284 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/holonomic/tests/test_holonomic.py @@ -0,0 +1,851 @@ +from sympy.holonomic import (DifferentialOperator, HolonomicFunction, + DifferentialOperators, from_hyper, + from_meijerg, expr_to_holonomic) +from sympy.holonomic.recurrence import RecurrenceOperators, HolonomicSequence +from sympy.core import EulerGamma +from sympy.core.numbers import (I, Rational, pi) +from sympy.core.singleton import S +from sympy.core.symbol import (Symbol, symbols) +from sympy.functions.elementary.exponential import (exp, log) +from sympy.functions.elementary.hyperbolic import (asinh, cosh) +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.trigonometric import (cos, sin) +from sympy.functions.special.bessel import besselj +from sympy.functions.special.beta_functions import beta +from sympy.functions.special.error_functions import (Ci, Si, erf, erfc) +from sympy.functions.special.gamma_functions import gamma +from sympy.functions.special.hyper import (hyper, meijerg) +from sympy.printing.str import sstr +from sympy.series.order import O +from sympy.simplify.hyperexpand import hyperexpand +from sympy.polys.domains.integerring import ZZ +from sympy.polys.domains.rationalfield import QQ +from sympy.polys.domains.realfield import RR + + +def test_DifferentialOperator(): + x = symbols('x') + R, Dx = DifferentialOperators(QQ.old_poly_ring(x), 'Dx') + assert Dx == R.derivative_operator + assert Dx == DifferentialOperator([R.base.zero, R.base.one], R) + assert x * Dx + x**2 * Dx**2 == DifferentialOperator([0, x, x**2], R) + assert (x**2 + 1) + Dx + x * \ + Dx**5 == DifferentialOperator([x**2 + 1, 1, 0, 0, 0, x], R) + assert (x * Dx + x**2 + 1 - Dx * (x**3 + x))**3 == (-48 * x**6) + \ + (-57 * x**7) * Dx + (-15 * x**8) * Dx**2 + (-x**9) * Dx**3 + p = (x * Dx**2 + (x**2 + 3) * Dx**5) * (Dx + x**2) + q = (2 * x) + (4 * x**2) * Dx + (x**3) * Dx**2 + \ + (20 * x**2 + x + 60) * Dx**3 + (10 * x**3 + 30 * x) * Dx**4 + \ + (x**4 + 3 * x**2) * Dx**5 + (x**2 + 3) * Dx**6 + assert p == q + + +def test_HolonomicFunction_addition(): + x = symbols('x') + R, Dx = DifferentialOperators(ZZ.old_poly_ring(x), 'Dx') + p = HolonomicFunction(Dx**2 * x, x) + q = HolonomicFunction((2) * Dx + (x) * Dx**2, x) + assert p == q + p = HolonomicFunction(x * Dx + 1, x) + q = HolonomicFunction(Dx + 1, x) + r = HolonomicFunction((x - 2) + (x**2 - 2) * Dx + (x**2 - x) * Dx**2, x) + assert p + q == r + p = HolonomicFunction(x * Dx + Dx**2 * (x**2 + 2), x) + q = HolonomicFunction(Dx - 3, x) + r = HolonomicFunction((-54 * x**2 - 126 * x - 150) + (-135 * x**3 - 252 * x**2 - 270 * x + 140) * Dx +\ + (-27 * x**4 - 24 * x**2 + 14 * x - 150) * Dx**2 + \ + (9 * x**4 + 15 * x**3 + 38 * x**2 + 30 * x +40) * Dx**3, x) + assert p + q == r + p = HolonomicFunction(Dx**5 - 1, x) + q = HolonomicFunction(x**3 + Dx, x) + r = HolonomicFunction((-x**18 + 45*x**14 - 525*x**10 + 1575*x**6 - x**3 - 630*x**2) + \ + (-x**15 + 30*x**11 - 195*x**7 + 210*x**3 - 1)*Dx + (x**18 - 45*x**14 + 525*x**10 - \ + 1575*x**6 + x**3 + 630*x**2)*Dx**5 + (x**15 - 30*x**11 + 195*x**7 - 210*x**3 + \ + 1)*Dx**6, x) + assert p+q == r + + p = x**2 + 3*x + 8 + q = x**3 - 7*x + 5 + p = p*Dx - p.diff() + q = q*Dx - q.diff() + r = HolonomicFunction(p, x) + HolonomicFunction(q, x) + s = HolonomicFunction((6*x**2 + 18*x + 14) + (-4*x**3 - 18*x**2 - 62*x + 10)*Dx +\ + (x**4 + 6*x**3 + 31*x**2 - 10*x - 71)*Dx**2, x) + assert r == s + + +def test_HolonomicFunction_multiplication(): + x = symbols('x') + R, Dx = DifferentialOperators(ZZ.old_poly_ring(x), 'Dx') + p = HolonomicFunction(Dx+x+x*Dx**2, x) + q = HolonomicFunction(x*Dx+Dx*x+Dx**2, x) + r = HolonomicFunction((8*x**6 + 4*x**4 + 6*x**2 + 3) + (24*x**5 - 4*x**3 + 24*x)*Dx + \ + (8*x**6 + 20*x**4 + 12*x**2 + 2)*Dx**2 + (8*x**5 + 4*x**3 + 4*x)*Dx**3 + \ + (2*x**4 + x**2)*Dx**4, x) + assert p*q == r + p = HolonomicFunction(Dx**2+1, x) + q = HolonomicFunction(Dx-1, x) + r = HolonomicFunction((2) + (-2)*Dx + (1)*Dx**2, x) + assert p*q == r + p = HolonomicFunction(Dx**2+1+x+Dx, x) + q = HolonomicFunction((Dx*x-1)**2, x) + r = HolonomicFunction((4*x**7 + 11*x**6 + 16*x**5 + 4*x**4 - 6*x**3 - 7*x**2 - 8*x - 2) + \ + (8*x**6 + 26*x**5 + 24*x**4 - 3*x**3 - 11*x**2 - 6*x - 2)*Dx + \ + (8*x**6 + 18*x**5 + 15*x**4 - 3*x**3 - 6*x**2 - 6*x - 2)*Dx**2 + (8*x**5 + \ + 10*x**4 + 6*x**3 - 2*x**2 - 4*x)*Dx**3 + (4*x**5 + 3*x**4 - x**2)*Dx**4, x) + assert p*q == r + p = HolonomicFunction(x*Dx**2-1, x) + q = HolonomicFunction(Dx*x-x, x) + r = HolonomicFunction((x - 3) + (-2*x + 2)*Dx + (x)*Dx**2, x) + assert p*q == r + + +def test_HolonomicFunction_power(): + x = symbols('x') + R, Dx = DifferentialOperators(ZZ.old_poly_ring(x), 'Dx') + p = HolonomicFunction(Dx+x+x*Dx**2, x) + a = HolonomicFunction(Dx, x) + for n in range(10): + assert a == p**n + a *= p + + +def test_addition_initial_condition(): + x = symbols('x') + R, Dx = DifferentialOperators(QQ.old_poly_ring(x), 'Dx') + p = HolonomicFunction(Dx-1, x, 0, [3]) + q = HolonomicFunction(Dx**2+1, x, 0, [1, 0]) + r = HolonomicFunction(-1 + Dx - Dx**2 + Dx**3, x, 0, [4, 3, 2]) + assert p + q == r + p = HolonomicFunction(Dx - x + Dx**2, x, 0, [1, 2]) + q = HolonomicFunction(Dx**2 + x, x, 0, [1, 0]) + r = HolonomicFunction((-x**4 - x**3/4 - x**2 + Rational(1, 4)) + (x**3 + x**2/4 + x*Rational(3, 4) + 1)*Dx + \ + (x*Rational(-3, 2) + Rational(7, 4))*Dx**2 + (x**2 - x*Rational(7, 4) + Rational(1, 4))*Dx**3 + (x**2 + x/4 + S.Half)*Dx**4, x, 0, [2, 2, -2, 2]) + assert p + q == r + p = HolonomicFunction(Dx**2 + 4*x*Dx + x**2, x, 0, [3, 4]) + q = HolonomicFunction(Dx**2 + 1, x, 0, [1, 1]) + r = HolonomicFunction((x**6 + 2*x**4 - 5*x**2 - 6) + (4*x**5 + 36*x**3 - 32*x)*Dx + \ + (x**6 + 3*x**4 + 5*x**2 - 9)*Dx**2 + (4*x**5 + 36*x**3 - 32*x)*Dx**3 + (x**4 + \ + 10*x**2 - 3)*Dx**4, x, 0, [4, 5, -1, -17]) + assert p + q == r + q = HolonomicFunction(Dx**3 + x, x, 2, [3, 0, 1]) + p = HolonomicFunction(Dx - 1, x, 2, [1]) + r = HolonomicFunction((-x**2 - x + 1) + (x**2 + x)*Dx + (-x - 2)*Dx**3 + \ + (x + 1)*Dx**4, x, 2, [4, 1, 2, -5 ]) + assert p + q == r + p = expr_to_holonomic(sin(x)) + q = expr_to_holonomic(1/x, x0=1) + r = HolonomicFunction((x**2 + 6) + (x**3 + 2*x)*Dx + (x**2 + 6)*Dx**2 + (x**3 + 2*x)*Dx**3, \ + x, 1, [sin(1) + 1, -1 + cos(1), -sin(1) + 2]) + assert p + q == r + C_1 = symbols('C_1') + p = expr_to_holonomic(sqrt(x)) + q = expr_to_holonomic(sqrt(x**2-x)) + r = (p + q).to_expr().subs(C_1, -I/2).expand() + assert r == I*sqrt(x)*sqrt(-x + 1) + sqrt(x) + + +def test_multiplication_initial_condition(): + x = symbols('x') + R, Dx = DifferentialOperators(QQ.old_poly_ring(x), 'Dx') + p = HolonomicFunction(Dx**2 + x*Dx - 1, x, 0, [3, 1]) + q = HolonomicFunction(Dx**2 + 1, x, 0, [1, 1]) + r = HolonomicFunction((x**4 + 14*x**2 + 60) + 4*x*Dx + (x**4 + 9*x**2 + 20)*Dx**2 + \ + (2*x**3 + 18*x)*Dx**3 + (x**2 + 10)*Dx**4, x, 0, [3, 4, 2, 3]) + assert p * q == r + p = HolonomicFunction(Dx**2 + x, x, 0, [1, 0]) + q = HolonomicFunction(Dx**3 - x**2, x, 0, [3, 3, 3]) + r = HolonomicFunction((x**8 - 37*x**7/27 - 10*x**6/27 - 164*x**5/9 - 184*x**4/9 + \ + 160*x**3/27 + 404*x**2/9 + 8*x + Rational(40, 3)) + (6*x**7 - 128*x**6/9 - 98*x**5/9 - 28*x**4/9 + \ + 8*x**3/9 + 28*x**2 + x*Rational(40, 9) - 40)*Dx + (3*x**6 - 82*x**5/9 + 76*x**4/9 + 4*x**3/3 + \ + 220*x**2/9 - x*Rational(80, 3))*Dx**2 + (-2*x**6 + 128*x**5/27 - 2*x**4/3 -80*x**2/9 + Rational(200, 9))*Dx**3 + \ + (3*x**5 - 64*x**4/9 - 28*x**3/9 + 6*x**2 - x*Rational(20, 9) - Rational(20, 3))*Dx**4 + (-4*x**3 + 64*x**2/9 + \ + x*Rational(8, 3))*Dx**5 + (x**4 - 64*x**3/27 - 4*x**2/3 + Rational(20, 9))*Dx**6, x, 0, [3, 3, 3, -3, -12, -24]) + assert p * q == r + p = HolonomicFunction(Dx - 1, x, 0, [2]) + q = HolonomicFunction(Dx**2 + 1, x, 0, [0, 1]) + r = HolonomicFunction(2 -2*Dx + Dx**2, x, 0, [0, 2]) + assert p * q == r + q = HolonomicFunction(x*Dx**2 + 1 + 2*Dx, x, 0,[0, 1]) + r = HolonomicFunction((x - 1) + (-2*x + 2)*Dx + x*Dx**2, x, 0, [0, 2]) + assert p * q == r + p = HolonomicFunction(Dx**2 - 1, x, 0, [1, 3]) + q = HolonomicFunction(Dx**3 + 1, x, 0, [1, 2, 1]) + r = HolonomicFunction(6*Dx + 3*Dx**2 + 2*Dx**3 - 3*Dx**4 + Dx**6, x, 0, [1, 5, 14, 17, 17, 2]) + assert p * q == r + p = expr_to_holonomic(sin(x)) + q = expr_to_holonomic(1/x, x0=1) + r = HolonomicFunction(x + 2*Dx + x*Dx**2, x, 1, [sin(1), -sin(1) + cos(1)]) + assert p * q == r + p = expr_to_holonomic(sqrt(x)) + q = expr_to_holonomic(sqrt(x**2-x)) + r = (p * q).to_expr() + assert r == I*x*sqrt(-x + 1) + + +def test_HolonomicFunction_composition(): + x = symbols('x') + R, Dx = DifferentialOperators(ZZ.old_poly_ring(x), 'Dx') + p = HolonomicFunction(Dx-1, x).composition(x**2+x) + r = HolonomicFunction((-2*x - 1) + Dx, x) + assert p == r + p = HolonomicFunction(Dx**2+1, x).composition(x**5+x**2+1) + r = HolonomicFunction((125*x**12 + 150*x**9 + 60*x**6 + 8*x**3) + (-20*x**3 - 2)*Dx + \ + (5*x**4 + 2*x)*Dx**2, x) + assert p == r + p = HolonomicFunction(Dx**2*x+x, x).composition(2*x**3+x**2+1) + r = HolonomicFunction((216*x**9 + 324*x**8 + 180*x**7 + 152*x**6 + 112*x**5 + \ + 36*x**4 + 4*x**3) + (24*x**4 + 16*x**3 + 3*x**2 - 6*x - 1)*Dx + (6*x**5 + 5*x**4 + \ + x**3 + 3*x**2 + x)*Dx**2, x) + assert p == r + p = HolonomicFunction(Dx**2+1, x).composition(1-x**2) + r = HolonomicFunction((4*x**3) - Dx + x*Dx**2, x) + assert p == r + p = HolonomicFunction(Dx**2+1, x).composition(x - 2/(x**2 + 1)) + r = HolonomicFunction((x**12 + 6*x**10 + 12*x**9 + 15*x**8 + 48*x**7 + 68*x**6 + \ + 72*x**5 + 111*x**4 + 112*x**3 + 54*x**2 + 12*x + 1) + (12*x**8 + 32*x**6 + \ + 24*x**4 - 4)*Dx + (x**12 + 6*x**10 + 4*x**9 + 15*x**8 + 16*x**7 + 20*x**6 + 24*x**5+ \ + 15*x**4 + 16*x**3 + 6*x**2 + 4*x + 1)*Dx**2, x) + assert p == r + + +def test_from_hyper(): + x = symbols('x') + R, Dx = DifferentialOperators(QQ.old_poly_ring(x), 'Dx') + p = hyper([1, 1], [Rational(3, 2)], x**2/4) + q = HolonomicFunction((4*x) + (5*x**2 - 8)*Dx + (x**3 - 4*x)*Dx**2, x, 1, [2*sqrt(3)*pi/9, -4*sqrt(3)*pi/27 + Rational(4, 3)]) + r = from_hyper(p) + assert r == q + p = from_hyper(hyper([1], [Rational(3, 2)], x**2/4)) + q = HolonomicFunction(-x + (-x**2/2 + 2)*Dx + x*Dx**2, x) + # x0 = 1 + y0 = '[sqrt(pi)*exp(1/4)*erf(1/2), -sqrt(pi)*exp(1/4)*erf(1/2)/2 + 1]' + assert sstr(p.y0) == y0 + assert q.annihilator == p.annihilator + + +def test_from_meijerg(): + x = symbols('x') + R, Dx = DifferentialOperators(QQ.old_poly_ring(x), 'Dx') + p = from_meijerg(meijerg(([], [Rational(3, 2)]), ([S.Half], [S.Half, 1]), x)) + q = HolonomicFunction(x/2 - Rational(1, 4) + (-x**2 + x/4)*Dx + x**2*Dx**2 + x**3*Dx**3, x, 1, \ + [1/sqrt(pi), 1/(2*sqrt(pi)), -1/(4*sqrt(pi))]) + assert p == q + p = from_meijerg(meijerg(([], []), ([0], []), x)) + q = HolonomicFunction(1 + Dx, x, 0, [1]) + assert p == q + p = from_meijerg(meijerg(([1], []), ([S.Half], [0]), x)) + q = HolonomicFunction((x + S.Half)*Dx + x*Dx**2, x, 1, [sqrt(pi)*erf(1), exp(-1)]) + assert p == q + p = from_meijerg(meijerg(([0], [1]), ([0], []), 2*x**2)) + q = HolonomicFunction((3*x**2 - 1)*Dx + x**3*Dx**2, x, 1, [-exp(Rational(-1, 2)) + 1, -exp(Rational(-1, 2))]) + assert p == q + + +def test_to_Sequence(): + x = symbols('x') + R, Dx = DifferentialOperators(ZZ.old_poly_ring(x), 'Dx') + n = symbols('n', integer=True) + _, Sn = RecurrenceOperators(ZZ.old_poly_ring(n), 'Sn') + p = HolonomicFunction(x**2*Dx**4 + x + Dx, x).to_sequence() + q = [(HolonomicSequence(1 + (n + 2)*Sn**2 + (n**4 + 6*n**3 + 11*n**2 + 6*n)*Sn**3), 0, 1)] + assert p == q + p = HolonomicFunction(x**2*Dx**4 + x**3 + Dx**2, x).to_sequence() + q = [(HolonomicSequence(1 + (n**4 + 14*n**3 + 72*n**2 + 163*n + 140)*Sn**5), 0, 0)] + assert p == q + p = HolonomicFunction(x**3*Dx**4 + 1 + Dx**2, x).to_sequence() + q = [(HolonomicSequence(1 + (n**4 - 2*n**3 - n**2 + 2*n)*Sn + (n**2 + 3*n + 2)*Sn**2), 0, 0)] + assert p == q + p = HolonomicFunction(3*x**3*Dx**4 + 2*x*Dx + x*Dx**3, x).to_sequence() + q = [(HolonomicSequence(2*n + (3*n**4 - 6*n**3 - 3*n**2 + 6*n)*Sn + (n**3 + 3*n**2 + 2*n)*Sn**2), 0, 1)] + assert p == q + + +def test_to_Sequence_Initial_Coniditons(): + x = symbols('x') + R, Dx = DifferentialOperators(QQ.old_poly_ring(x), 'Dx') + n = symbols('n', integer=True) + _, Sn = RecurrenceOperators(QQ.old_poly_ring(n), 'Sn') + p = HolonomicFunction(Dx - 1, x, 0, [1]).to_sequence() + q = [(HolonomicSequence(-1 + (n + 1)*Sn, 1), 0)] + assert p == q + p = HolonomicFunction(Dx**2 + 1, x, 0, [0, 1]).to_sequence() + q = [(HolonomicSequence(1 + (n**2 + 3*n + 2)*Sn**2, [0, 1]), 0)] + assert p == q + p = HolonomicFunction(Dx**2 + 1 + x**3*Dx, x, 0, [2, 3]).to_sequence() + q = [(HolonomicSequence(n + Sn**2 + (n**2 + 7*n + 12)*Sn**4, [2, 3, -1, Rational(-1, 2), Rational(1, 12)]), 1)] + assert p == q + p = HolonomicFunction(x**3*Dx**5 + 1 + Dx, x).to_sequence() + q = [(HolonomicSequence(1 + (n + 1)*Sn + (n**5 - 5*n**3 + 4*n)*Sn**2), 0, 3)] + assert p == q + C_0, C_1, C_2, C_3 = symbols('C_0, C_1, C_2, C_3') + p = expr_to_holonomic(log(1+x**2)) + q = [(HolonomicSequence(n**2 + (n**2 + 2*n)*Sn**2, [0, 0, C_2]), 0, 1)] + assert p.to_sequence() == q + p = p.diff() + q = [(HolonomicSequence((n + 2) + (n + 2)*Sn**2, [C_0, 0]), 1, 0)] + assert p.to_sequence() == q + p = expr_to_holonomic(erf(x) + x).to_sequence() + q = [(HolonomicSequence((2*n**2 - 2*n) + (n**3 + 2*n**2 - n - 2)*Sn**2, [0, 1 + 2/sqrt(pi), 0, C_3]), 0, 2)] + assert p == q + +def test_series(): + x = symbols('x') + R, Dx = DifferentialOperators(ZZ.old_poly_ring(x), 'Dx') + p = HolonomicFunction(Dx**2 + 2*x*Dx, x, 0, [0, 1]).series(n=10) + q = x - x**3/3 + x**5/10 - x**7/42 + x**9/216 + O(x**10) + assert p == q + p = HolonomicFunction(Dx - 1, x).composition(x**2, 0, [1]) # e^(x**2) + q = HolonomicFunction(Dx**2 + 1, x, 0, [1, 0]) # cos(x) + r = (p * q).series(n=10) # expansion of cos(x) * exp(x**2) + s = 1 + x**2/2 + x**4/24 - 31*x**6/720 - 179*x**8/8064 + O(x**10) + assert r == s + t = HolonomicFunction((1 + x)*Dx**2 + Dx, x, 0, [0, 1]) # log(1 + x) + r = (p * t + q).series(n=10) + s = 1 + x - x**2 + 4*x**3/3 - 17*x**4/24 + 31*x**5/30 - 481*x**6/720 +\ + 71*x**7/105 - 20159*x**8/40320 + 379*x**9/840 + O(x**10) + assert r == s + p = HolonomicFunction((6+6*x-3*x**2) - (10*x-3*x**2-3*x**3)*Dx + \ + (4-6*x**3+2*x**4)*Dx**2, x, 0, [0, 1]).series(n=7) + q = x + x**3/6 - 3*x**4/16 + x**5/20 - 23*x**6/960 + O(x**7) + assert p == q + p = HolonomicFunction((6+6*x-3*x**2) - (10*x-3*x**2-3*x**3)*Dx + \ + (4-6*x**3+2*x**4)*Dx**2, x, 0, [1, 0]).series(n=7) + q = 1 - 3*x**2/4 - x**3/4 - 5*x**4/32 - 3*x**5/40 - 17*x**6/384 + O(x**7) + assert p == q + p = expr_to_holonomic(erf(x) + x).series(n=10) + C_3 = symbols('C_3') + q = (erf(x) + x).series(n=10) + assert p.subs(C_3, -2/(3*sqrt(pi))) == q + assert expr_to_holonomic(sqrt(x**3 + x)).series(n=10) == sqrt(x**3 + x).series(n=10) + assert expr_to_holonomic((2*x - 3*x**2)**Rational(1, 3)).series() == ((2*x - 3*x**2)**Rational(1, 3)).series() + assert expr_to_holonomic(sqrt(x**2-x)).series() == (sqrt(x**2-x)).series() + assert expr_to_holonomic(cos(x)**2/x**2, y0={-2: [1, 0, -1]}).series(n=10) == (cos(x)**2/x**2).series(n=10) + assert expr_to_holonomic(cos(x)**2/x**2, x0=1).series(n=10).together() == (cos(x)**2/x**2).series(n=10, x0=1).together() + assert expr_to_holonomic(cos(x-1)**2/(x-1)**2, x0=1, y0={-2: [1, 0, -1]}).series(n=10) \ + == (cos(x-1)**2/(x-1)**2).series(x0=1, n=10) + +def test_evalf_euler(): + x = symbols('x') + R, Dx = DifferentialOperators(QQ.old_poly_ring(x), 'Dx') + + # log(1+x) + p = HolonomicFunction((1 + x)*Dx**2 + Dx, x, 0, [0, 1]) + + # path taken is a straight line from 0 to 1, on the real axis + r = [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1] + s = '0.699525841805253' # approx. equal to log(2) i.e. 0.693147180559945 + assert sstr(p.evalf(r, method='Euler')[-1]) == s + + # path taken is a triangle 0-->1+i-->2 + r = [0.1 + 0.1*I] + for i in range(9): + r.append(r[-1]+0.1+0.1*I) + for i in range(10): + r.append(r[-1]+0.1-0.1*I) + + # close to the exact solution 1.09861228866811 + # imaginary part also close to zero + s = '1.07530466271334 - 0.0251200594793912*I' + assert sstr(p.evalf(r, method='Euler')[-1]) == s + + # sin(x) + p = HolonomicFunction(Dx**2 + 1, x, 0, [0, 1]) + s = '0.905546532085401 - 6.93889390390723e-18*I' + assert sstr(p.evalf(r, method='Euler')[-1]) == s + + # computing sin(pi/2) using this method + # using a linear path from 0 to pi/2 + r = [0.1] + for i in range(14): + r.append(r[-1] + 0.1) + r.append(pi/2) + s = '1.08016557252834' # close to 1.0 (exact solution) + assert sstr(p.evalf(r, method='Euler')[-1]) == s + + # trying different path, a rectangle (0-->i-->pi/2 + i-->pi/2) + # computing the same value sin(pi/2) using different path + r = [0.1*I] + for i in range(9): + r.append(r[-1]+0.1*I) + for i in range(15): + r.append(r[-1]+0.1) + r.append(pi/2+I) + for i in range(10): + r.append(r[-1]-0.1*I) + + # close to 1.0 + s = '0.976882381836257 - 1.65557671738537e-16*I' + assert sstr(p.evalf(r, method='Euler')[-1]) == s + + # cos(x) + p = HolonomicFunction(Dx**2 + 1, x, 0, [1, 0]) + # compute cos(pi) along 0-->pi + r = [0.05] + for i in range(61): + r.append(r[-1]+0.05) + r.append(pi) + # close to -1 (exact answer) + s = '-1.08140824719196' + assert sstr(p.evalf(r, method='Euler')[-1]) == s + + # a rectangular path (0 -> i -> 2+i -> 2) + r = [0.1*I] + for i in range(9): + r.append(r[-1]+0.1*I) + for i in range(20): + r.append(r[-1]+0.1) + for i in range(10): + r.append(r[-1]-0.1*I) + + p = HolonomicFunction(Dx**2 + 1, x, 0, [1,1]).evalf(r, method='Euler') + s = '0.501421652861245 - 3.88578058618805e-16*I' + assert sstr(p[-1]) == s + +def test_evalf_rk4(): + x = symbols('x') + R, Dx = DifferentialOperators(QQ.old_poly_ring(x), 'Dx') + + # log(1+x) + p = HolonomicFunction((1 + x)*Dx**2 + Dx, x, 0, [0, 1]) + + # path taken is a straight line from 0 to 1, on the real axis + r = [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1] + s = '0.693146363174626' # approx. equal to log(2) i.e. 0.693147180559945 + assert sstr(p.evalf(r)[-1]) == s + + # path taken is a triangle 0-->1+i-->2 + r = [0.1 + 0.1*I] + for i in range(9): + r.append(r[-1]+0.1+0.1*I) + for i in range(10): + r.append(r[-1]+0.1-0.1*I) + + # close to the exact solution 1.09861228866811 + # imaginary part also close to zero + s = '1.098616 + 1.36083e-7*I' + assert sstr(p.evalf(r)[-1].n(7)) == s + + # sin(x) + p = HolonomicFunction(Dx**2 + 1, x, 0, [0, 1]) + s = '0.90929463522785 + 1.52655665885959e-16*I' + assert sstr(p.evalf(r)[-1]) == s + + # computing sin(pi/2) using this method + # using a linear path from 0 to pi/2 + r = [0.1] + for i in range(14): + r.append(r[-1] + 0.1) + r.append(pi/2) + s = '0.999999895088917' # close to 1.0 (exact solution) + assert sstr(p.evalf(r)[-1]) == s + + # trying different path, a rectangle (0-->i-->pi/2 + i-->pi/2) + # computing the same value sin(pi/2) using different path + r = [0.1*I] + for i in range(9): + r.append(r[-1]+0.1*I) + for i in range(15): + r.append(r[-1]+0.1) + r.append(pi/2+I) + for i in range(10): + r.append(r[-1]-0.1*I) + + # close to 1.0 + s = '1.00000003415141 + 6.11940487991086e-16*I' + assert sstr(p.evalf(r)[-1]) == s + + # cos(x) + p = HolonomicFunction(Dx**2 + 1, x, 0, [1, 0]) + # compute cos(pi) along 0-->pi + r = [0.05] + for i in range(61): + r.append(r[-1]+0.05) + r.append(pi) + # close to -1 (exact answer) + s = '-0.999999993238714' + assert sstr(p.evalf(r)[-1]) == s + + # a rectangular path (0 -> i -> 2+i -> 2) + r = [0.1*I] + for i in range(9): + r.append(r[-1]+0.1*I) + for i in range(20): + r.append(r[-1]+0.1) + for i in range(10): + r.append(r[-1]-0.1*I) + + p = HolonomicFunction(Dx**2 + 1, x, 0, [1,1]).evalf(r) + s = '0.493152791638442 - 1.41553435639707e-15*I' + assert sstr(p[-1]) == s + + +def test_expr_to_holonomic(): + x = symbols('x') + R, Dx = DifferentialOperators(QQ.old_poly_ring(x), 'Dx') + p = expr_to_holonomic((sin(x)/x)**2) + q = HolonomicFunction(8*x + (4*x**2 + 6)*Dx + 6*x*Dx**2 + x**2*Dx**3, x, 0, \ + [1, 0, Rational(-2, 3)]) + assert p == q + p = expr_to_holonomic(1/(1+x**2)**2) + q = HolonomicFunction(4*x + (x**2 + 1)*Dx, x, 0, [1]) + assert p == q + p = expr_to_holonomic(exp(x)*sin(x)+x*log(1+x)) + q = HolonomicFunction((2*x**3 + 10*x**2 + 20*x + 18) + (-2*x**4 - 10*x**3 - 20*x**2 \ + - 18*x)*Dx + (2*x**5 + 6*x**4 + 7*x**3 + 8*x**2 + 10*x - 4)*Dx**2 + \ + (-2*x**5 - 5*x**4 - 2*x**3 + 2*x**2 - x + 4)*Dx**3 + (x**5 + 2*x**4 - x**3 - \ + 7*x**2/2 + x + Rational(5, 2))*Dx**4, x, 0, [0, 1, 4, -1]) + assert p == q + p = expr_to_holonomic(x*exp(x)+cos(x)+1) + q = HolonomicFunction((-x - 3)*Dx + (x + 2)*Dx**2 + (-x - 3)*Dx**3 + (x + 2)*Dx**4, x, \ + 0, [2, 1, 1, 3]) + assert p == q + assert (x*exp(x)+cos(x)+1).series(n=10) == p.series(n=10) + p = expr_to_holonomic(log(1 + x)**2 + 1) + q = HolonomicFunction(Dx + (3*x + 3)*Dx**2 + (x**2 + 2*x + 1)*Dx**3, x, 0, [1, 0, 2]) + assert p == q + p = expr_to_holonomic(erf(x)**2 + x) + q = HolonomicFunction((8*x**4 - 2*x**2 + 2)*Dx**2 + (6*x**3 - x/2)*Dx**3 + \ + (x**2+ Rational(1, 4))*Dx**4, x, 0, [0, 1, 8/pi, 0]) + assert p == q + p = expr_to_holonomic(cosh(x)*x) + q = HolonomicFunction((-x**2 + 2) -2*x*Dx + x**2*Dx**2, x, 0, [0, 1]) + assert p == q + p = expr_to_holonomic(besselj(2, x)) + q = HolonomicFunction((x**2 - 4) + x*Dx + x**2*Dx**2, x, 0, [0, 0]) + assert p == q + p = expr_to_holonomic(besselj(0, x) + exp(x)) + q = HolonomicFunction((-x**2 - x/2 + S.Half) + (x**2 - x/2 - Rational(3, 2))*Dx + (-x**2 + x/2 + 1)*Dx**2 +\ + (x**2 + x/2)*Dx**3, x, 0, [2, 1, S.Half]) + assert p == q + p = expr_to_holonomic(sin(x)**2/x) + q = HolonomicFunction(4 + 4*x*Dx + 3*Dx**2 + x*Dx**3, x, 0, [0, 1, 0]) + assert p == q + p = expr_to_holonomic(sin(x)**2/x, x0=2) + q = HolonomicFunction((4) + (4*x)*Dx + (3)*Dx**2 + (x)*Dx**3, x, 2, [sin(2)**2/2, + sin(2)*cos(2) - sin(2)**2/4, -3*sin(2)**2/4 + cos(2)**2 - sin(2)*cos(2)]) + assert p == q + p = expr_to_holonomic(log(x)/2 - Ci(2*x)/2 + Ci(2)/2) + q = HolonomicFunction(4*Dx + 4*x*Dx**2 + 3*Dx**3 + x*Dx**4, x, 0, \ + [-log(2)/2 - EulerGamma/2 + Ci(2)/2, 0, 1, 0]) + assert p == q + p = p.to_expr() + q = log(x)/2 - Ci(2*x)/2 + Ci(2)/2 + assert p == q + p = expr_to_holonomic(x**S.Half, x0=1) + q = HolonomicFunction(x*Dx - S.Half, x, 1, [1]) + assert p == q + p = expr_to_holonomic(sqrt(1 + x**2)) + q = HolonomicFunction((-x) + (x**2 + 1)*Dx, x, 0, [1]) + assert p == q + assert (expr_to_holonomic(sqrt(x) + sqrt(2*x)).to_expr()-\ + (sqrt(x) + sqrt(2*x))).simplify() == 0 + assert expr_to_holonomic(3*x+2*sqrt(x)).to_expr() == 3*x+2*sqrt(x) + p = expr_to_holonomic((x**4+x**3+5*x**2+3*x+2)/x**2, lenics=3) + q = HolonomicFunction((-2*x**4 - x**3 + 3*x + 4) + (x**5 + x**4 + 5*x**3 + 3*x**2 + \ + 2*x)*Dx, x, 0, {-2: [2, 3, 5]}) + assert p == q + p = expr_to_holonomic(1/(x-1)**2, lenics=3, x0=1) + q = HolonomicFunction((2) + (x - 1)*Dx, x, 1, {-2: [1, 0, 0]}) + assert p == q + a = symbols("a") + p = expr_to_holonomic(sqrt(a*x), x=x) + assert p.to_expr() == sqrt(a)*sqrt(x) + +def test_to_hyper(): + x = symbols('x') + R, Dx = DifferentialOperators(QQ.old_poly_ring(x), 'Dx') + p = HolonomicFunction(Dx - 2, x, 0, [3]).to_hyper() + q = 3 * hyper([], [], 2*x) + assert p == q + p = hyperexpand(HolonomicFunction((1 + x) * Dx - 3, x, 0, [2]).to_hyper()).expand() + q = 2*x**3 + 6*x**2 + 6*x + 2 + assert p == q + p = HolonomicFunction((1 + x)*Dx**2 + Dx, x, 0, [0, 1]).to_hyper() + q = -x**2*hyper((2, 2, 1), (3, 2), -x)/2 + x + assert p == q + p = HolonomicFunction(2*x*Dx + Dx**2, x, 0, [0, 2/sqrt(pi)]).to_hyper() + q = 2*x*hyper((S.Half,), (Rational(3, 2),), -x**2)/sqrt(pi) + assert p == q + p = hyperexpand(HolonomicFunction(2*x*Dx + Dx**2, x, 0, [1, -2/sqrt(pi)]).to_hyper()) + q = erfc(x) + assert p.rewrite(erfc) == q + p = hyperexpand(HolonomicFunction((x**2 - 1) + x*Dx + x**2*Dx**2, + x, 0, [0, S.Half]).to_hyper()) + q = besselj(1, x) + assert p == q + p = hyperexpand(HolonomicFunction(x*Dx**2 + Dx + x, x, 0, [1, 0]).to_hyper()) + q = besselj(0, x) + assert p == q + +def test_to_expr(): + x = symbols('x') + R, Dx = DifferentialOperators(ZZ.old_poly_ring(x), 'Dx') + p = HolonomicFunction(Dx - 1, x, 0, [1]).to_expr() + q = exp(x) + assert p == q + p = HolonomicFunction(Dx**2 + 1, x, 0, [1, 0]).to_expr() + q = cos(x) + assert p == q + p = HolonomicFunction(Dx**2 - 1, x, 0, [1, 0]).to_expr() + q = cosh(x) + assert p == q + p = HolonomicFunction(2 + (4*x - 1)*Dx + \ + (x**2 - x)*Dx**2, x, 0, [1, 2]).to_expr().expand() + q = 1/(x**2 - 2*x + 1) + assert p == q + p = expr_to_holonomic(sin(x)**2/x).integrate((x, 0, x)).to_expr() + q = (sin(x)**2/x).integrate((x, 0, x)) + assert p == q + C_0, C_1, C_2, C_3 = symbols('C_0, C_1, C_2, C_3') + p = expr_to_holonomic(log(1+x**2)).to_expr() + q = C_2*log(x**2 + 1) + assert p == q + p = expr_to_holonomic(log(1+x**2)).diff().to_expr() + q = C_0*x/(x**2 + 1) + assert p == q + p = expr_to_holonomic(erf(x) + x).to_expr() + q = 3*C_3*x - 3*sqrt(pi)*C_3*erf(x)/2 + x + 2*x/sqrt(pi) + assert p == q + p = expr_to_holonomic(sqrt(x), x0=1).to_expr() + assert p == sqrt(x) + assert expr_to_holonomic(sqrt(x)).to_expr() == sqrt(x) + p = expr_to_holonomic(sqrt(1 + x**2)).to_expr() + assert p == sqrt(1+x**2) + p = expr_to_holonomic((2*x**2 + 1)**Rational(2, 3)).to_expr() + assert p == (2*x**2 + 1)**Rational(2, 3) + p = expr_to_holonomic(sqrt(-x**2+2*x)).to_expr() + assert p == sqrt(x)*sqrt(-x + 2) + p = expr_to_holonomic((-2*x**3+7*x)**Rational(2, 3)).to_expr() + q = x**Rational(2, 3)*(-2*x**2 + 7)**Rational(2, 3) + assert p == q + p = from_hyper(hyper((-2, -3), (S.Half, ), x)) + s = hyperexpand(hyper((-2, -3), (S.Half, ), x)) + D_0 = Symbol('D_0') + C_0 = Symbol('C_0') + assert (p.to_expr().subs({C_0:1, D_0:0}) - s).simplify() == 0 + p.y0 = {0: [1], S.Half: [0]} + assert p.to_expr() == s + assert expr_to_holonomic(x**5).to_expr() == x**5 + assert expr_to_holonomic(2*x**3-3*x**2).to_expr().expand() == \ + 2*x**3-3*x**2 + a = symbols("a") + p = (expr_to_holonomic(1.4*x)*expr_to_holonomic(a*x, x)).to_expr() + q = 1.4*a*x**2 + assert p == q + p = (expr_to_holonomic(1.4*x)+expr_to_holonomic(a*x, x)).to_expr() + q = x*(a + 1.4) + assert p == q + p = (expr_to_holonomic(1.4*x)+expr_to_holonomic(x)).to_expr() + assert p == 2.4*x + + +def test_integrate(): + x = symbols('x') + R, Dx = DifferentialOperators(ZZ.old_poly_ring(x), 'Dx') + p = expr_to_holonomic(sin(x)**2/x, x0=1).integrate((x, 2, 3)) + q = '0.166270406994788' + assert sstr(p) == q + p = expr_to_holonomic(sin(x)).integrate((x, 0, x)).to_expr() + q = 1 - cos(x) + assert p == q + p = expr_to_holonomic(sin(x)).integrate((x, 0, 3)) + q = 1 - cos(3) + assert p == q + p = expr_to_holonomic(sin(x)/x, x0=1).integrate((x, 1, 2)) + q = '0.659329913368450' + assert sstr(p) == q + p = expr_to_holonomic(sin(x)**2/x, x0=1).integrate((x, 1, 0)) + q = '-0.423690480850035' + assert sstr(p) == q + p = expr_to_holonomic(sin(x)/x) + assert p.integrate(x).to_expr() == Si(x) + assert p.integrate((x, 0, 2)) == Si(2) + p = expr_to_holonomic(sin(x)**2/x) + q = p.to_expr() + assert p.integrate(x).to_expr() == q.integrate((x, 0, x)) + assert p.integrate((x, 0, 1)) == q.integrate((x, 0, 1)) + assert expr_to_holonomic(1/x, x0=1).integrate(x).to_expr() == log(x) + p = expr_to_holonomic((x + 1)**3*exp(-x), x0=-1).integrate(x).to_expr() + q = (-x**3 - 6*x**2 - 15*x + 6*exp(x + 1) - 16)*exp(-x) + assert p == q + p = expr_to_holonomic(cos(x)**2/x**2, y0={-2: [1, 0, -1]}).integrate(x).to_expr() + q = -Si(2*x) - cos(x)**2/x + assert p == q + p = expr_to_holonomic(sqrt(x**2+x)).integrate(x).to_expr() + q = (x**Rational(3, 2)*(2*x**2 + 3*x + 1) - x*sqrt(x + 1)*asinh(sqrt(x)))/(4*x*sqrt(x + 1)) + assert p == q + p = expr_to_holonomic(sqrt(x**2+1)).integrate(x).to_expr() + q = (sqrt(x**2+1)).integrate(x) + assert (p-q).simplify() == 0 + p = expr_to_holonomic(1/x**2, y0={-2:[1, 0, 0]}) + r = expr_to_holonomic(1/x**2, lenics=3) + assert p == r + q = expr_to_holonomic(cos(x)**2) + assert (r*q).integrate(x).to_expr() == -Si(2*x) - cos(x)**2/x + + +def test_diff(): + x, y = symbols('x, y') + R, Dx = DifferentialOperators(ZZ.old_poly_ring(x), 'Dx') + p = HolonomicFunction(x*Dx**2 + 1, x, 0, [0, 1]) + assert p.diff().to_expr() == p.to_expr().diff().simplify() + p = HolonomicFunction(Dx**2 - 1, x, 0, [1, 0]) + assert p.diff(x, 2).to_expr() == p.to_expr() + p = expr_to_holonomic(Si(x)) + assert p.diff().to_expr() == sin(x)/x + assert p.diff(y) == 0 + C_0, C_1, C_2, C_3 = symbols('C_0, C_1, C_2, C_3') + q = Si(x) + assert p.diff(x).to_expr() == q.diff() + assert p.diff(x, 2).to_expr().subs(C_0, Rational(-1, 3)).cancel() == q.diff(x, 2).cancel() + assert p.diff(x, 3).series().subs({C_3: Rational(-1, 3), C_0: 0}) == q.diff(x, 3).series() + + +def test_extended_domain_in_expr_to_holonomic(): + x = symbols('x') + p = expr_to_holonomic(1.2*cos(3.1*x)) + assert p.to_expr() == 1.2*cos(3.1*x) + assert sstr(p.integrate(x).to_expr()) == '0.387096774193548*sin(3.1*x)' + _, Dx = DifferentialOperators(RR.old_poly_ring(x), 'Dx') + p = expr_to_holonomic(1.1329138213*x) + q = HolonomicFunction((-1.1329138213) + (1.1329138213*x)*Dx, x, 0, {1: [1.1329138213]}) + assert p == q + assert p.to_expr() == 1.1329138213*x + assert sstr(p.integrate((x, 1, 2))) == sstr((1.1329138213*x).integrate((x, 1, 2))) + y, z = symbols('y, z') + p = expr_to_holonomic(sin(x*y*z), x=x) + assert p.to_expr() == sin(x*y*z) + assert p.integrate(x).to_expr() == (-cos(x*y*z) + 1)/(y*z) + p = expr_to_holonomic(sin(x*y + z), x=x).integrate(x).to_expr() + q = (cos(z) - cos(x*y + z))/y + assert p == q + a = symbols('a') + p = expr_to_holonomic(a*x, x) + assert p.to_expr() == a*x + assert p.integrate(x).to_expr() == a*x**2/2 + D_2, C_1 = symbols("D_2, C_1") + p = expr_to_holonomic(x) + expr_to_holonomic(1.2*cos(x)) + p = p.to_expr().subs(D_2, 0) + assert p - x - 1.2*cos(1.0*x) == 0 + p = expr_to_holonomic(x) * expr_to_holonomic(1.2*cos(x)) + p = p.to_expr().subs(C_1, 0) + assert p - 1.2*x*cos(1.0*x) == 0 + + +def test_to_meijerg(): + x = symbols('x') + assert hyperexpand(expr_to_holonomic(sin(x)).to_meijerg()) == sin(x) + assert hyperexpand(expr_to_holonomic(cos(x)).to_meijerg()) == cos(x) + assert hyperexpand(expr_to_holonomic(exp(x)).to_meijerg()) == exp(x) + assert hyperexpand(expr_to_holonomic(log(x)).to_meijerg()).simplify() == log(x) + assert expr_to_holonomic(4*x**2/3 + 7).to_meijerg() == 4*x**2/3 + 7 + assert hyperexpand(expr_to_holonomic(besselj(2, x), lenics=3).to_meijerg()) == besselj(2, x) + p = hyper((Rational(-1, 2), -3), (), x) + assert from_hyper(p).to_meijerg() == hyperexpand(p) + p = hyper((S.One, S(3)), (S(2), ), x) + assert (hyperexpand(from_hyper(p).to_meijerg()) - hyperexpand(p)).expand() == 0 + p = from_hyper(hyper((-2, -3), (S.Half, ), x)) + s = hyperexpand(hyper((-2, -3), (S.Half, ), x)) + C_0 = Symbol('C_0') + C_1 = Symbol('C_1') + D_0 = Symbol('D_0') + assert (hyperexpand(p.to_meijerg()).subs({C_0:1, D_0:0}) - s).simplify() == 0 + p.y0 = {0: [1], S.Half: [0]} + assert (hyperexpand(p.to_meijerg()) - s).simplify() == 0 + p = expr_to_holonomic(besselj(S.Half, x), initcond=False) + assert (p.to_expr() - (D_0*sin(x) + C_0*cos(x) + C_1*sin(x))/sqrt(x)).simplify() == 0 + p = expr_to_holonomic(besselj(S.Half, x), y0={Rational(-1, 2): [sqrt(2)/sqrt(pi), sqrt(2)/sqrt(pi)]}) + assert (p.to_expr() - besselj(S.Half, x) - besselj(Rational(-1, 2), x)).simplify() == 0 + + +def test_gaussian(): + mu, x = symbols("mu x") + sd = symbols("sd", positive=True) + Q = QQ[mu, sd].get_field() + e = sqrt(2)*exp(-(-mu + x)**2/(2*sd**2))/(2*sqrt(pi)*sd) + h1 = expr_to_holonomic(e, x, domain=Q) + + _, Dx = DifferentialOperators(Q.old_poly_ring(x), 'Dx') + h2 = HolonomicFunction((-mu/sd**2 + x/sd**2) + (1)*Dx, x) + + assert h1 == h2 + + +def test_beta(): + a, b, x = symbols("a b x", positive=True) + e = x**(a - 1)*(-x + 1)**(b - 1)/beta(a, b) + Q = QQ[a, b].get_field() + h1 = expr_to_holonomic(e, x, domain=Q) + + _, Dx = DifferentialOperators(Q.old_poly_ring(x), 'Dx') + h2 = HolonomicFunction((a + x*(-a - b + 2) - 1) + (x**2 - x)*Dx, x) + + assert h1 == h2 + + +def test_gamma(): + a, b, x = symbols("a b x", positive=True) + e = b**(-a)*x**(a - 1)*exp(-x/b)/gamma(a) + Q = QQ[a, b].get_field() + h1 = expr_to_holonomic(e, x, domain=Q) + + _, Dx = DifferentialOperators(Q.old_poly_ring(x), 'Dx') + h2 = HolonomicFunction((-a + 1 + x/b) + (x)*Dx, x) + + assert h1 == h2 + + +def test_symbolic_power(): + x, n = symbols("x n") + Q = QQ[n].get_field() + _, Dx = DifferentialOperators(Q.old_poly_ring(x), 'Dx') + h1 = HolonomicFunction((-1) + (x)*Dx, x) ** -n + h2 = HolonomicFunction((n) + (x)*Dx, x) + + assert h1 == h2 + + +def test_negative_power(): + x = symbols("x") + _, Dx = DifferentialOperators(QQ.old_poly_ring(x), 'Dx') + h1 = HolonomicFunction((-1) + (x)*Dx, x) ** -2 + h2 = HolonomicFunction((2) + (x)*Dx, x) + + assert h1 == h2 + + +def test_expr_in_power(): + x, n = symbols("x n") + Q = QQ[n].get_field() + _, Dx = DifferentialOperators(Q.old_poly_ring(x), 'Dx') + h1 = HolonomicFunction((-1) + (x)*Dx, x) ** (n - 3) + h2 = HolonomicFunction((-n + 3) + (x)*Dx, x) + + assert h1 == h2 + + +def test_DifferentialOperatorEqPoly(): + x = symbols('x', integer=True) + R, Dx = DifferentialOperators(QQ.old_poly_ring(x), 'Dx') + do = DifferentialOperator([x**2, R.base.zero, R.base.zero], R) + do2 = DifferentialOperator([x**2, 1, x], R) + assert not do == do2 + + # polynomial comparison issue, see https://github.com/sympy/sympy/pull/15799 + # should work once that is solved + # p = do.listofpoly[0] + # assert do == p + + p2 = do2.listofpoly[0] + assert not do2 == p2 + + +def test_DifferentialOperatorPow(): + x = symbols('x', integer=True) + R, _ = DifferentialOperators(QQ.old_poly_ring(x), 'Dx') + do = DifferentialOperator([x**2, R.base.zero, R.base.zero], R) + a = DifferentialOperator([R.base.one], R) + for n in range(10): + assert a == do**n + a *= do diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/holonomic/tests/test_recurrence.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/holonomic/tests/test_recurrence.py new file mode 100644 index 0000000000000000000000000000000000000000..526595e91c5fc507877275e3e53e78c6f3716095 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/holonomic/tests/test_recurrence.py @@ -0,0 +1,41 @@ +from sympy.holonomic.recurrence import RecurrenceOperators, RecurrenceOperator +from sympy.core.symbol import symbols +from sympy.polys.domains.rationalfield import QQ + + +def test_RecurrenceOperator(): + n = symbols('n', integer=True) + R, Sn = RecurrenceOperators(QQ.old_poly_ring(n), 'Sn') + assert Sn*n == (n + 1)*Sn + assert Sn*n**2 == (n**2+1+2*n)*Sn + assert Sn**2*n**2 == (n**2 + 4*n + 4)*Sn**2 + p = (Sn**3*n**2 + Sn*n)**2 + q = (n**2 + 3*n + 2)*Sn**2 + (2*n**3 + 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Symbol +from sympy.functions.elementary.trigonometric import sin +from sympy.integrals.integrals import integrate + +x = Symbol('x') + + +def bench_integrate_sin(): + integrate(sin(x), x) + + +def bench_integrate_x1sin(): + integrate(x**1*sin(x), x) + + +def bench_integrate_x2sin(): + integrate(x**2*sin(x), x) + + +def bench_integrate_x3sin(): + integrate(x**3*sin(x), x) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/integrals/benchmarks/bench_trigintegrate.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/integrals/benchmarks/bench_trigintegrate.py new file mode 100644 index 0000000000000000000000000000000000000000..403c5471b8048ff2aa97bf2f837b9ea05f0fd904 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/integrals/benchmarks/bench_trigintegrate.py @@ -0,0 +1,13 @@ +from sympy.core.symbol import Symbol +from sympy.functions.elementary.trigonometric import sin +from sympy.integrals.trigonometry import trigintegrate + +x = Symbol('x') + 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0000000000000000000000000000000000000000..d4fd567349b50f795e08d583fd08db67b1596577 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/integrals/tests/test_deltafunctions.py @@ -0,0 +1,79 @@ +from sympy.core.function import Function +from sympy.core.numbers import (Rational, pi) +from sympy.core.singleton import S +from sympy.core.symbol import symbols +from sympy.functions.elementary.trigonometric import (cos, sin) +from sympy.functions.special.delta_functions import (DiracDelta, Heaviside) +from sympy.integrals.deltafunctions import change_mul, deltaintegrate + +f = Function("f") +x_1, x_2, x, y, z = symbols("x_1 x_2 x y z") + + +def test_change_mul(): + assert change_mul(x, x) == (None, None) + assert change_mul(x*y, x) == (None, None) + assert change_mul(x*y*DiracDelta(x), x) == (DiracDelta(x), x*y) + assert change_mul(x*y*DiracDelta(x)*DiracDelta(y), x) == \ + (DiracDelta(x), x*y*DiracDelta(y)) + assert change_mul(DiracDelta(x)**2, x) == \ + (DiracDelta(x), DiracDelta(x)) + assert change_mul(y*DiracDelta(x)**2, x) == \ + (DiracDelta(x), y*DiracDelta(x)) + + +def test_deltaintegrate(): + assert deltaintegrate(x, x) is None + assert deltaintegrate(x + DiracDelta(x), x) is None + assert deltaintegrate(DiracDelta(x, 0), x) == Heaviside(x) + for n in range(10): + assert deltaintegrate(DiracDelta(x, n + 1), x) == DiracDelta(x, n) + assert deltaintegrate(DiracDelta(x), x) == Heaviside(x) + assert deltaintegrate(DiracDelta(-x), x) == Heaviside(x) + assert deltaintegrate(DiracDelta(x - y), x) == Heaviside(x - y) + assert deltaintegrate(DiracDelta(y - x), x) == Heaviside(x - y) + + assert deltaintegrate(x*DiracDelta(x), x) == 0 + assert deltaintegrate((x - y)*DiracDelta(x - y), x) == 0 + + assert deltaintegrate(DiracDelta(x)**2, x) == DiracDelta(0)*Heaviside(x) + assert deltaintegrate(y*DiracDelta(x)**2, x) == \ + y*DiracDelta(0)*Heaviside(x) + assert deltaintegrate(DiracDelta(x, 1), x) == DiracDelta(x, 0) + assert deltaintegrate(y*DiracDelta(x, 1), x) == y*DiracDelta(x, 0) + assert deltaintegrate(DiracDelta(x, 1)**2, x) == -DiracDelta(0, 2)*Heaviside(x) + assert deltaintegrate(y*DiracDelta(x, 1)**2, x) == -y*DiracDelta(0, 2)*Heaviside(x) + + + assert deltaintegrate(DiracDelta(x) * f(x), x) == f(0) * Heaviside(x) + assert deltaintegrate(DiracDelta(-x) * f(x), x) == f(0) * Heaviside(x) + assert deltaintegrate(DiracDelta(x - 1) * f(x), x) == f(1) * Heaviside(x - 1) + assert deltaintegrate(DiracDelta(1 - x) * f(x), x) == f(1) * Heaviside(x - 1) + assert deltaintegrate(DiracDelta(x**2 + x - 2), x) == \ + Heaviside(x - 1)/3 + Heaviside(x + 2)/3 + + p = cos(x)*(DiracDelta(x) + DiracDelta(x**2 - 1))*sin(x)*(x - pi) + assert deltaintegrate(p, x) - (-pi*(cos(1)*Heaviside(-1 + x)*sin(1)/2 - \ + cos(1)*Heaviside(1 + x)*sin(1)/2) + \ + cos(1)*Heaviside(1 + x)*sin(1)/2 + \ + cos(1)*Heaviside(-1 + x)*sin(1)/2) == 0 + + p = x_2*DiracDelta(x - x_2)*DiracDelta(x_2 - x_1) + assert deltaintegrate(p, x_2) == x*DiracDelta(x - x_1)*Heaviside(x_2 - x) + + p = x*y**2*z*DiracDelta(y - x)*DiracDelta(y - z)*DiracDelta(x - z) + assert deltaintegrate(p, y) == x**3*z*DiracDelta(x - z)**2*Heaviside(y - x) + assert deltaintegrate((x + 1)*DiracDelta(2*x), x) == S.Half * Heaviside(x) + assert deltaintegrate((x + 1)*DiracDelta(x*Rational(2, 3) + Rational(4, 9)), x) == \ + S.Half * Heaviside(x + Rational(2, 3)) + + a, b, c = symbols('a b c', commutative=False) + assert deltaintegrate(DiracDelta(x - y)*f(x - b)*f(x - a), x) == \ + f(y - b)*f(y - a)*Heaviside(x - y) + + p = f(x - a)*DiracDelta(x - y)*f(x - c)*f(x - b) + assert deltaintegrate(p, x) == f(y - a)*f(y - c)*f(y - b)*Heaviside(x - y) + + p = DiracDelta(x - z)*f(x - b)*f(x - a)*DiracDelta(x - y) + assert deltaintegrate(p, x) == DiracDelta(y - z)*f(y - b)*f(y - a) * \ + Heaviside(x - y) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/integrals/tests/test_failing_integrals.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/integrals/tests/test_failing_integrals.py new file mode 100644 index 0000000000000000000000000000000000000000..9bb434cf0009cd96ad2b7882d109b7fbe23193c2 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/integrals/tests/test_failing_integrals.py @@ -0,0 +1,277 @@ +# A collection of failing integrals from the issues. + +from sympy.core.numbers import (I, Rational, oo, pi) +from sympy.core.singleton import S +from sympy.core.symbol import symbols +from sympy.functions.elementary.complexes import sign +from sympy.functions.elementary.exponential import (exp, log) +from sympy.functions.elementary.hyperbolic import (sech, sinh) +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.piecewise import Piecewise +from sympy.functions.elementary.trigonometric import (acos, atan, cos, sin, tan) +from sympy.functions.special.delta_functions import DiracDelta +from sympy.functions.special.gamma_functions import gamma +from sympy.integrals.integrals import (Integral, integrate) +from sympy.simplify.fu import fu + + +from sympy.testing.pytest import XFAIL, slow, tooslow + +from sympy.abc import x, k, c, y, b, h, a, m, z, n, t + + +@tooslow +@XFAIL +def test_issue_3880(): + # integrate_hyperexponential(Poly(t*2*(1 - t0**2)*t0*(x**3 + x**2), t), Poly((1 + t0**2)**2*2*(x**2 + x + 1), t), [Poly(1, x), Poly(1 + t0**2, t0), Poly(t, t)], [x, t0, t], [exp, tan]) + assert not integrate(exp(x)*cos(2*x)*sin(2*x) * (x**3 + x**2)/(2*(x**2 + x + 1)), x).has(Integral) + + +def test_issue_4212_real(): + xr = symbols('xr', real=True) + negabsx = Piecewise((-xr, xr < 0), (xr, True)) + assert integrate(sign(xr), xr) == negabsx + + +@XFAIL +def test_issue_4212(): + # XXX: Maybe this should be expected to fail without real assumptions on x. + # As a complex function sign(x) is not analytic and so there is no complex + # function whose complex derivative is sign(x). With real assumptions this + # works (see test_issue_4212_real above). + assert not integrate(sign(x), x).has(Integral) + + +def test_issue_4511(): + # This works, but gives a slightly over-complicated answer. + f = integrate(cos(x)**2 / (1 - sin(x)), x) + assert fu(f) == x - cos(x) - 1 + assert f == ((x*tan(x/2)**2 + x - 2)/(tan(x/2)**2 + 1)).expand() + + +def test_integrate_DiracDelta_no_meijerg(): + assert integrate(integrate(integrate( + DiracDelta(x - y - z), (z, 0, oo)), (y, 0, 1), meijerg=False), (x, 0, 1)) == S.Half + + +@XFAIL +def test_integrate_DiracDelta_fails(): + # issue 6427 + # works without meijerg. See test_integrate_DiracDelta_no_meijerg above. + assert integrate(integrate(integrate( + DiracDelta(x - y - z), (z, 0, oo)), (y, 0, 1)), (x, 0, 1)) == S.Half + + +@XFAIL +@slow +def test_issue_4525(): + # Warning: takes a long time + assert not integrate((x**m * (1 - x)**n * (a + b*x + c*x**2))/(1 + x**2), (x, 0, 1)).has(Integral) + + +@XFAIL +@tooslow +def test_issue_4540(): + # Note, this integral is probably nonelementary + assert not integrate( + (sin(1/x) - x*exp(x)) / + ((-sin(1/x) + x*exp(x))*x + x*sin(1/x)), x).has(Integral) + + +@XFAIL +@slow +def test_issue_4891(): + # Requires the hypergeometric function. + assert not integrate(cos(x)**y, x).has(Integral) + + +@XFAIL +@slow +def test_issue_1796a(): + assert not integrate(exp(2*b*x)*exp(-a*x**2), x).has(Integral) + + +@XFAIL +def test_issue_4895b(): + assert not integrate(exp(2*b*x)*exp(-a*x**2), (x, -oo, 0)).has(Integral) + + +@XFAIL +def test_issue_4895c(): + assert not integrate(exp(2*b*x)*exp(-a*x**2), (x, -oo, oo)).has(Integral) + + +@XFAIL +def test_issue_4895d(): + assert not integrate(exp(2*b*x)*exp(-a*x**2), (x, 0, oo)).has(Integral) + + +@XFAIL +@slow +def test_issue_4941(): + assert not integrate(sqrt(1 + sinh(x/20)**2), (x, -25, 25)).has(Integral) + + +@XFAIL +def test_issue_4992(): + # Nonelementary integral. Requires hypergeometric/Meijer-G handling. + assert not integrate(log(x) * x**(k - 1) * exp(-x) / gamma(k), (x, 0, oo)).has(Integral) + + +@XFAIL +def test_issue_16396a(): + i = integrate(1/(1+sqrt(tan(x))), (x, pi/3, pi/6)) + assert not i.has(Integral) + + +@XFAIL +def test_issue_16396b(): + i = integrate(x*sin(x)/(1+cos(x)**2), (x, 0, pi)) + assert not i.has(Integral) + + +@XFAIL +def test_issue_16046(): + assert integrate(exp(exp(I*x)), [x, 0, 2*pi]) == 2*pi + + +@XFAIL +def test_issue_15925a(): + assert not integrate(sqrt((1+sin(x))**2+(cos(x))**2), (x, -pi/2, pi/2)).has(Integral) + + +def test_issue_15925b(): + f = sqrt((-12*cos(x)**2*sin(x))**2+(12*cos(x)*sin(x)**2)**2) + assert integrate(f, (x, 0, pi/6)) == Rational(3, 2) + + +@XFAIL +def test_issue_15925b_manual(): + assert not integrate(sqrt((-12*cos(x)**2*sin(x))**2+(12*cos(x)*sin(x)**2)**2), + (x, 0, pi/6), manual=True).has(Integral) + + +@XFAIL +@tooslow +def test_issue_15227(): + i = integrate(log(1-x)*log((1+x)**2)/x, (x, 0, 1)) + assert not i.has(Integral) + # assert i == -5*zeta(3)/4 + + +@XFAIL +@slow +def test_issue_14716(): + i = integrate(log(x + 5)*cos(pi*x),(x, S.Half, 1)) + assert not i.has(Integral) + # Mathematica can not solve it either, but + # integrate(log(x + 5)*cos(pi*x),(x, S.Half, 1)).transform(x, y - 5).doit() + # works + # assert i == -log(Rational(11, 2))/pi - Si(pi*Rational(11, 2))/pi + Si(6*pi)/pi + + +@XFAIL +def test_issue_14709a(): + i = integrate(x*acos(1 - 2*x/h), (x, 0, h)) + assert not i.has(Integral) + # assert i == 5*h**2*pi/16 + + +@slow +@XFAIL +def test_issue_14398(): + assert not integrate(exp(x**2)*cos(x), x).has(Integral) + + +@XFAIL +def test_issue_14074(): + i = integrate(log(sin(x)), (x, 0, pi/2)) + assert not i.has(Integral) + # assert i == -pi*log(2)/2 + + +@XFAIL +@slow +def test_issue_14078b(): + i = integrate((atan(4*x)-atan(2*x))/x, (x, 0, oo)) + assert not i.has(Integral) + # assert i == pi*log(2)/2 + + +@XFAIL +def test_issue_13792(): + i = integrate(log(1/x) / (1 - x), (x, 0, 1)) + assert not i.has(Integral) + # assert i in [polylog(2, -exp_polar(I*pi)), pi**2/6] + + +@XFAIL +def test_issue_11845a(): + assert not integrate(exp(y - x**3), (x, 0, 1)).has(Integral) + + +@XFAIL +def test_issue_11845b(): + assert not integrate(exp(-y - x**3), (x, 0, 1)).has(Integral) + + +@XFAIL +def test_issue_11813(): + assert not integrate((a - x)**Rational(-1, 2)*x, (x, 0, a)).has(Integral) + + +@XFAIL +def test_issue_11254c(): + assert not integrate(sech(x)**2, (x, 0, 1)).has(Integral) + + +@XFAIL +def test_issue_10584(): + assert not integrate(sqrt(x**2 + 1/x**2), x).has(Integral) + + +@XFAIL +def test_issue_9101(): + assert not integrate(log(x + sqrt(x**2 + y**2 + z**2)), z).has(Integral) + + +@XFAIL +def test_issue_7147(): + assert not integrate(x/sqrt(a*x**2 + b*x + c)**3, x).has(Integral) + + +@XFAIL +def test_issue_7109(): + assert not integrate(sqrt(a**2/(a**2 - x**2)), x).has(Integral) + + +@XFAIL +def test_integrate_Piecewise_rational_over_reals(): + f = Piecewise( + (0, t - 478.515625*pi < 0), + (13.2075145209219*pi/(0.000871222*t + 0.995)**2, t - 478.515625*pi >= 0)) + + assert abs((integrate(f, (t, 0, oo)) - 15235.9375*pi).evalf()) <= 1e-7 + + +@XFAIL +def test_issue_4311_slow(): + # Not slow when bypassing heurish + assert not integrate(x*abs(9-x**2), x).has(Integral) + +@XFAIL +def test_issue_20370(): + a = symbols('a', positive=True) + assert integrate((1 + a * cos(x))**-1, (x, 0, 2 * pi)) == (2 * pi / sqrt(1 - a**2)) + + +@XFAIL +def test_polylog(): + # log(1/x)*log(x+1)-polylog(2, -x) + assert not integrate(log(1/x)/(x + 1), x).has(Integral) + + +@XFAIL +def test_polylog_manual(): + # Make sure _parts_rule does not go into an infinite loop here + assert not integrate(log(1/x)/(x + 1), x, manual=True).has(Integral) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/integrals/tests/test_heurisch.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/integrals/tests/test_heurisch.py new file mode 100644 index 0000000000000000000000000000000000000000..f02556dedd597721529cab47bf53609110e0ce2a --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/integrals/tests/test_heurisch.py @@ -0,0 +1,417 @@ +from sympy.concrete.summations import Sum +from sympy.core.add import Add +from sympy.core.function import (Derivative, Function, diff) +from sympy.core.numbers import (I, Rational, pi) +from sympy.core.relational import Eq, Ne +from sympy.core.symbol import (Symbol, symbols) +from sympy.functions.elementary.exponential import (LambertW, exp, log) +from sympy.functions.elementary.hyperbolic import (asinh, cosh, sinh, tanh) +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.piecewise import Piecewise +from sympy.functions.elementary.trigonometric import (acos, asin, atan, cos, sin, tan) +from sympy.functions.special.bessel import (besselj, besselk, bessely, jn) +from sympy.functions.special.error_functions import erf +from sympy.integrals.integrals import Integral +from sympy.logic.boolalg import And +from sympy.matrices import Matrix +from sympy.simplify.ratsimp import ratsimp +from sympy.simplify.simplify import simplify +from sympy.integrals.heurisch import components, heurisch, heurisch_wrapper +from sympy.testing.pytest import XFAIL, slow +from sympy.integrals.integrals import integrate +from sympy import S + +x, y, z, nu = symbols('x,y,z,nu') +f = Function('f') + + +def test_components(): + assert components(x*y, x) == {x} + assert components(1/(x + y), x) == {x} + assert components(sin(x), x) == {sin(x), x} + assert components(sin(x)*sqrt(log(x)), x) == \ + {log(x), sin(x), sqrt(log(x)), x} + assert components(x*sin(exp(x)*y), x) == \ + {sin(y*exp(x)), x, exp(x)} + assert components(x**Rational(17, 54)/sqrt(sin(x)), x) == \ + {sin(x), x**Rational(1, 54), sqrt(sin(x)), x} + + assert components(f(x), x) == \ + {x, f(x)} + assert components(Derivative(f(x), x), x) == \ + {x, f(x), Derivative(f(x), x)} + assert components(f(x)*diff(f(x), x), x) == \ + {x, f(x), Derivative(f(x), x), Derivative(f(x), x)} + + +def test_issue_10680(): + assert isinstance(integrate(x**log(x**log(x**log(x))),x), Integral) + + +def test_issue_21166(): + assert integrate(sin(x/sqrt(abs(x))), (x, -1, 1)) == 0 + + +def test_heurisch_polynomials(): + assert heurisch(1, x) == x + assert heurisch(x, x) == x**2/2 + assert heurisch(x**17, x) == x**18/18 + # For coverage + assert heurisch_wrapper(y, x) == y*x + + +def test_heurisch_fractions(): + assert heurisch(1/x, x) == log(x) + assert heurisch(1/(2 + x), x) == log(x + 2) + assert heurisch(1/(x + sin(y)), x) == log(x + sin(y)) + + # Up to a constant, where C = pi*I*Rational(5, 12), Mathematica gives identical + # result in the first case. The difference is because SymPy changes + # signs of expressions without any care. + # XXX ^ ^ ^ is this still correct? + assert heurisch(5*x**5/( + 2*x**6 - 5), x) in [5*log(2*x**6 - 5) / 12, 5*log(-2*x**6 + 5) / 12] + assert heurisch(5*x**5/(2*x**6 + 5), x) == 5*log(2*x**6 + 5) / 12 + + assert heurisch(1/x**2, x) == -1/x + assert heurisch(-1/x**5, x) == 1/(4*x**4) + + +def test_heurisch_log(): + assert heurisch(log(x), x) == x*log(x) - x + assert heurisch(log(3*x), x) == -x + x*log(3) + x*log(x) + assert heurisch(log(x**2), x) in [x*log(x**2) - 2*x, 2*x*log(x) - 2*x] + + +def test_heurisch_exp(): + assert heurisch(exp(x), x) == exp(x) + assert heurisch(exp(-x), x) == -exp(-x) + assert heurisch(exp(17*x), x) == exp(17*x) / 17 + assert heurisch(x*exp(x), x) == x*exp(x) - exp(x) + assert heurisch(x*exp(x**2), x) == exp(x**2) / 2 + + assert heurisch(exp(-x**2), x) is None + + assert heurisch(2**x, x) == 2**x/log(2) + assert heurisch(x*2**x, x) == x*2**x/log(2) - 2**x*log(2)**(-2) + + assert heurisch(Integral(x**z*y, (y, 1, 2), (z, 2, 3)).function, x) == (x*x**z*y)/(z+1) + assert heurisch(Sum(x**z, (z, 1, 2)).function, z) == x**z/log(x) + + # https://github.com/sympy/sympy/issues/23707 + anti = -exp(z)/(sqrt(x - y)*exp(z*sqrt(x - y)) - exp(z*sqrt(x - y))) + assert heurisch(exp(z)*exp(-z*sqrt(x - y)), z) == anti + + +def test_heurisch_trigonometric(): + assert heurisch(sin(x), x) == -cos(x) + assert heurisch(pi*sin(x) + 1, x) == x - pi*cos(x) + + assert heurisch(cos(x), x) == sin(x) + assert heurisch(tan(x), x) in [ + log(1 + tan(x)**2)/2, + log(tan(x) + I) + I*x, + log(tan(x) - I) - I*x, + ] + + assert heurisch(sin(x)*sin(y), x) == -cos(x)*sin(y) + assert heurisch(sin(x)*sin(y), y) == -cos(y)*sin(x) + + # gives sin(x) in answer when run via setup.py and cos(x) when run via py.test + assert heurisch(sin(x)*cos(x), x) in [sin(x)**2 / 2, -cos(x)**2 / 2] + assert heurisch(cos(x)/sin(x), x) == log(sin(x)) + + assert heurisch(x*sin(7*x), x) == sin(7*x) / 49 - x*cos(7*x) / 7 + assert heurisch(1/pi/4 * x**2*cos(x), x) == 1/pi/4*(x**2*sin(x) - + 2*sin(x) + 2*x*cos(x)) + + assert heurisch(acos(x/4) * asin(x/4), x) == 2*x - (sqrt(16 - x**2))*asin(x/4) \ + + (sqrt(16 - x**2))*acos(x/4) + x*asin(x/4)*acos(x/4) + + assert heurisch(sin(x)/(cos(x)**2+1), x) == -atan(cos(x)) #fixes issue 13723 + assert heurisch(1/(cos(x)+2), x) == 2*sqrt(3)*atan(sqrt(3)*tan(x/2)/3)/3 + assert heurisch(2*sin(x)*cos(x)/(sin(x)**4 + 1), x) == atan(sqrt(2)*sin(x) + - 1) - atan(sqrt(2)*sin(x) + 1) + + assert heurisch(1/cosh(x), x) == 2*atan(tanh(x/2)) + + +def test_heurisch_hyperbolic(): + assert heurisch(sinh(x), x) == cosh(x) + assert heurisch(cosh(x), x) == sinh(x) + + assert heurisch(x*sinh(x), x) == x*cosh(x) - sinh(x) + assert heurisch(x*cosh(x), x) == x*sinh(x) - cosh(x) + + assert heurisch( + x*asinh(x/2), x) == x**2*asinh(x/2)/2 + asinh(x/2) - x*sqrt(4 + x**2)/4 + + +def test_heurisch_mixed(): + assert heurisch(sin(x)*exp(x), x) == exp(x)*sin(x)/2 - exp(x)*cos(x)/2 + assert heurisch(sin(x/sqrt(-x)), x) == 2*x*cos(x/sqrt(-x))/sqrt(-x) - 2*sin(x/sqrt(-x)) + + +def test_heurisch_radicals(): + assert heurisch(1/sqrt(x), x) == 2*sqrt(x) + assert heurisch(1/sqrt(x)**3, x) == -2/sqrt(x) + assert heurisch(sqrt(x)**3, x) == 2*sqrt(x)**5/5 + + assert heurisch(sin(x)*sqrt(cos(x)), x) == -2*sqrt(cos(x))**3/3 + y = Symbol('y') + assert heurisch(sin(y*sqrt(x)), x) == 2/y**2*sin(y*sqrt(x)) - \ + 2*sqrt(x)*cos(y*sqrt(x))/y + assert heurisch_wrapper(sin(y*sqrt(x)), x) == Piecewise( + (-2*sqrt(x)*cos(sqrt(x)*y)/y + 2*sin(sqrt(x)*y)/y**2, Ne(y, 0)), + (0, True)) + y = Symbol('y', positive=True) + assert heurisch_wrapper(sin(y*sqrt(x)), x) == 2/y**2*sin(y*sqrt(x)) - \ + 2*sqrt(x)*cos(y*sqrt(x))/y + + +def test_heurisch_special(): + assert heurisch(erf(x), x) == x*erf(x) + exp(-x**2)/sqrt(pi) + assert heurisch(exp(-x**2)*erf(x), x) == sqrt(pi)*erf(x)**2 / 4 + + +def test_heurisch_symbolic_coeffs(): + assert heurisch(1/(x + y), x) == log(x + y) + assert heurisch(1/(x + sqrt(2)), x) == log(x + sqrt(2)) + assert simplify(diff(heurisch(log(x + y + z), y), y)) == log(x + y + z) + + +def test_heurisch_symbolic_coeffs_1130(): + y = Symbol('y') + assert heurisch_wrapper(1/(x**2 + y), x) == Piecewise( + (log(x - sqrt(-y))/(2*sqrt(-y)) - log(x + sqrt(-y))/(2*sqrt(-y)), + Ne(y, 0)), (-1/x, True)) + y = Symbol('y', positive=True) + assert heurisch_wrapper(1/(x**2 + y), x) == (atan(x/sqrt(y))/sqrt(y)) + + +def test_heurisch_hacking(): + assert heurisch(sqrt(1 + 7*x**2), x, hints=[]) == \ + x*sqrt(1 + 7*x**2)/2 + sqrt(7)*asinh(sqrt(7)*x)/14 + assert heurisch(sqrt(1 - 7*x**2), x, hints=[]) == \ + x*sqrt(1 - 7*x**2)/2 + sqrt(7)*asin(sqrt(7)*x)/14 + + assert heurisch(1/sqrt(1 + 7*x**2), x, hints=[]) == \ + sqrt(7)*asinh(sqrt(7)*x)/7 + assert heurisch(1/sqrt(1 - 7*x**2), x, hints=[]) == \ + sqrt(7)*asin(sqrt(7)*x)/7 + + assert heurisch(exp(-7*x**2), x, hints=[]) == \ + sqrt(7*pi)*erf(sqrt(7)*x)/14 + + assert heurisch(1/sqrt(9 - 4*x**2), x, hints=[]) == \ + asin(x*Rational(2, 3))/2 + + assert heurisch(1/sqrt(9 + 4*x**2), x, hints=[]) == \ + asinh(x*Rational(2, 3))/2 + + assert heurisch(1/sqrt(3*x**2-4), x, hints=[]) == \ + sqrt(3)*log(3*x + sqrt(3)*sqrt(3*x**2 - 4))/3 + + +def test_heurisch_function(): + assert heurisch(f(x), x) is None + +@XFAIL +def test_heurisch_function_derivative(): + # TODO: it looks like this used to work just by coincindence and + # thanks to sloppy implementation. Investigate why this used to + # work at all and if support for this can be restored. + + df = diff(f(x), x) + + assert heurisch(f(x)*df, x) == f(x)**2/2 + assert heurisch(f(x)**2*df, x) == f(x)**3/3 + assert heurisch(df/f(x), x) == log(f(x)) + + +def test_heurisch_wrapper(): + f = 1/(y + x) + assert heurisch_wrapper(f, x) == log(x + y) + f = 1/(y - x) + assert heurisch_wrapper(f, x) == -log(x - y) + f = 1/((y - x)*(y + x)) + assert heurisch_wrapper(f, x) == Piecewise( + (-log(x - y)/(2*y) + log(x + y)/(2*y), Ne(y, 0)), (1/x, True)) + # issue 6926 + f = sqrt(x**2/((y - x)*(y + x))) + assert heurisch_wrapper(f, x) == x*sqrt(-x**2/(x**2 - y**2)) \ + - y**2*sqrt(-x**2/(x**2 - y**2))/x + + +def test_issue_3609(): + assert heurisch(1/(x * (1 + log(x)**2)), x) == atan(log(x)) + +### These are examples from the Poor Man's Integrator +### http://www-sop.inria.fr/cafe/Manuel.Bronstein/pmint/examples/ + + +def test_pmint_rat(): + # TODO: heurisch() is off by a constant: -3/4. Possibly different permutation + # would give the optimal result? + + def drop_const(expr, x): + if expr.is_Add: + return Add(*[ arg for arg in expr.args if arg.has(x) ]) + else: + return expr + + f = (x**7 - 24*x**4 - 4*x**2 + 8*x - 8)/(x**8 + 6*x**6 + 12*x**4 + 8*x**2) + g = (4 + 8*x**2 + 6*x + 3*x**3)/(x**5 + 4*x**3 + 4*x) + log(x) + + assert drop_const(ratsimp(heurisch(f, x)), x) == g + + +def test_pmint_trig(): + f = (x - tan(x)) / tan(x)**2 + tan(x) + g = -x**2/2 - x/tan(x) + log(tan(x)**2 + 1)/2 + + assert heurisch(f, x) == g + + +def test_pmint_logexp(): + f = (1 + x + x*exp(x))*(x + log(x) + exp(x) - 1)/(x + log(x) + exp(x))**2/x + g = log(x + exp(x) + log(x)) + 1/(x + exp(x) + log(x)) + + assert ratsimp(heurisch(f, x)) == g + + +def test_pmint_erf(): + f = exp(-x**2)*erf(x)/(erf(x)**3 - erf(x)**2 - erf(x) + 1) + g = sqrt(pi)*log(erf(x) - 1)/8 - sqrt(pi)*log(erf(x) + 1)/8 - sqrt(pi)/(4*erf(x) - 4) + + assert ratsimp(heurisch(f, x)) == g + + +def test_pmint_LambertW(): + f = LambertW(x) + g = x*LambertW(x) - x + x/LambertW(x) + + assert heurisch(f, x) == g + + +def test_pmint_besselj(): + f = besselj(nu + 1, x)/besselj(nu, x) + g = nu*log(x) - log(besselj(nu, x)) + + assert heurisch(f, x) == g + + f = (nu*besselj(nu, x) - x*besselj(nu + 1, x))/x + g = besselj(nu, x) + + assert heurisch(f, x) == g + + f = jn(nu + 1, x)/jn(nu, x) + g = nu*log(x) - log(jn(nu, x)) + + assert heurisch(f, x) == g + + +@slow +def test_pmint_bessel_products(): + f = x*besselj(nu, x)*bessely(nu, 2*x) + g = -2*x*besselj(nu, x)*bessely(nu - 1, 2*x)/3 + x*besselj(nu - 1, x)*bessely(nu, 2*x)/3 + + assert heurisch(f, x) == g + + f = x*besselj(nu, x)*besselk(nu, 2*x) + g = -2*x*besselj(nu, x)*besselk(nu - 1, 2*x)/5 - x*besselj(nu - 1, x)*besselk(nu, 2*x)/5 + + assert heurisch(f, x) == g + + +def test_pmint_WrightOmega(): + def omega(x): + return LambertW(exp(x)) + + f = (1 + omega(x) * (2 + cos(omega(x)) * (x + omega(x))))/(1 + omega(x))/(x + omega(x)) + g = log(x + LambertW(exp(x))) + sin(LambertW(exp(x))) + + assert heurisch(f, x) == g + + +def test_RR(): + # Make sure the algorithm does the right thing if the ring is RR. See + # issue 8685. + assert heurisch(sqrt(1 + 0.25*x**2), x, hints=[]) == \ + 0.5*x*sqrt(0.25*x**2 + 1) + 1.0*asinh(0.5*x) + +# TODO: convert the rest of PMINT tests: +# Airy functions +# f = (x - AiryAi(x)*AiryAi(1, x)) / (x**2 - AiryAi(x)**2) +# g = Rational(1,2)*ln(x + AiryAi(x)) + Rational(1,2)*ln(x - AiryAi(x)) +# f = x**2 * AiryAi(x) +# g = -AiryAi(x) + AiryAi(1, x)*x +# Whittaker functions +# f = WhittakerW(mu + 1, nu, x) / (WhittakerW(mu, nu, x) * x) +# g = x/2 - mu*ln(x) - ln(WhittakerW(mu, nu, x)) + + +def test_issue_22527(): + t, R = symbols(r't R') + z = Function('z')(t) + def f(x): + return x/sqrt(R**2 - x**2) + Uz = integrate(f(z), z) + Ut = integrate(f(t), t) + assert Ut == Uz.subs(z, t) + + +def test_heurisch_complex_erf_issue_26338(): + r = symbols('r', real=True) + a = sqrt(pi)*erf((1 + I)/2)/2 + assert integrate(exp(-I*r**2/2), (r, 0, 1)) == a - I*a + + a = exp(-x**2/(2*(2 - I)**2)) + assert heurisch(a, x, hints=[]) is None # None, not a wrong soln + a = exp(-r**2/(2*(2 - I)**2)) + assert heurisch(a, r, hints=[]) is None + a = sqrt(pi)*erf((1 + I)/2)/2 + assert integrate(exp(-I*x**2/2), (x, 0, 1)) == a - I*a + + +def test_issue_15498(): + Z0 = Function('Z0') + k01, k10, t, s= symbols('k01 k10 t s', real=True, positive=True) + m = Matrix([[exp(-k10*t)]]) + _83 = Rational(83, 100) # 0.83 works, too + [a, b, c, d, e, f, g] = [100, 0.5, _83, 50, 0.6, 2, 120] + AIF_btf = a*(d*e*(1 - exp(-(t - b)/e)) + f*g*(1 - exp(-(t - b)/g))) + AIF_atf = a*(d*e*exp(-(t - b)/e)*(exp((c - b)/e) - 1 + ) + f*g*exp(-(t - b)/g)*(exp((c - b)/g) - 1)) + AIF_sym = Piecewise((0, t < b), (AIF_btf, And(b <= t, t < c)), (AIF_atf, c <= t)) + aif_eq = Eq(Z0(t), AIF_sym) + f_vec = Matrix([[k01*Z0(t)]]) + integrand = m*m.subs(t, s)**-1*f_vec.subs(aif_eq.lhs, aif_eq.rhs).subs(t, s) + solution = integrate(integrand[0], (s, 0, t)) + assert solution is not None # does not hang and takes less than 10 s + + +@slow +def test_heurisch_issue_26930(): + integrand = x**Rational(4, 3)*log(x) + anti = 3*x**(S(7)/3)*log(x)/7 - 9*x**(S(7)/3)/49 + assert heurisch(integrand, x) == anti + assert integrate(integrand, x) == anti + assert integrate(integrand, (x, 0, 1)) == -S(9)/49 + + +def test_heurisch_issue_26922(): + + a, b, x = symbols("a, b, x", real=True, positive=True) + C = symbols("C", real=True) + i1 = -C*x*exp(-a*x**2 - sqrt(b)*x) + i2 = C*x*exp(-a*x**2 + sqrt(b)*x) + i = Integral(i1, x) + Integral(i2, x) + res = ( + -C*exp(-a*x**2)*exp(sqrt(b)*x)/(2*a) + + C*exp(-a*x**2)*exp(-sqrt(b)*x)/(2*a) + + sqrt(pi)*C*sqrt(b)*exp(b/(4*a))*erf(sqrt(a)*x - sqrt(b)/(2*sqrt(a)))/(4*a**(S(3)/2)) + + sqrt(pi)*C*sqrt(b)*exp(b/(4*a))*erf(sqrt(a)*x + sqrt(b)/(2*sqrt(a)))/(4*a**(S(3)/2)) + ) + + assert i.doit(heurisch=False).expand() == res diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/integrals/tests/test_integrals.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/integrals/tests/test_integrals.py new file mode 100644 index 0000000000000000000000000000000000000000..41e1ef3aa36334189f14cf734ac2ad26d001b506 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/integrals/tests/test_integrals.py @@ -0,0 +1,2187 @@ +import math +from sympy.concrete.summations import (Sum, summation) +from sympy.core.add import Add +from sympy.core.containers import Tuple +from sympy.core.expr import Expr +from sympy.core.function import (Derivative, Function, Lambda, diff) +from sympy.core import EulerGamma +from sympy.core.numbers import (E, I, Rational, nan, oo, pi, zoo, all_close) +from sympy.core.relational import (Eq, Ne) +from sympy.core.singleton import S +from sympy.core.symbol import (Symbol, symbols) +from sympy.core.sympify import sympify +from sympy.functions.elementary.complexes import (Abs, im, polar_lift, re, sign) +from sympy.functions.elementary.exponential import (LambertW, exp, exp_polar, log) +from sympy.functions.elementary.hyperbolic import (acosh, asinh, cosh, coth, csch, sinh, tanh, sech) +from sympy.functions.elementary.miscellaneous import (Max, Min, sqrt) +from sympy.functions.elementary.piecewise import Piecewise +from sympy.functions.elementary.trigonometric import (acos, asin, atan, cos, sin, sinc, tan, sec) +from sympy.functions.special.delta_functions import DiracDelta, Heaviside +from sympy.functions.special.error_functions import (Ci, Ei, Si, erf, erfc, erfi, fresnelc, li) +from sympy.functions.special.gamma_functions import (gamma, polygamma) +from sympy.functions.special.hyper import (hyper, meijerg) +from sympy.functions.special.singularity_functions import SingularityFunction +from sympy.functions.special.zeta_functions import lerchphi +from sympy.integrals.integrals import integrate +from sympy.logic.boolalg import And +from sympy.matrices.dense import Matrix +from sympy.polys.polytools import (Poly, factor) +from sympy.printing.str import sstr +from sympy.series.order import O +from sympy.sets.sets import Interval +from sympy.simplify.gammasimp import gammasimp +from sympy.simplify.simplify import simplify +from sympy.simplify.trigsimp import trigsimp +from sympy.tensor.indexed import (Idx, IndexedBase) +from sympy.core.expr import unchanged +from sympy.functions.elementary.integers import floor +from sympy.integrals.integrals import Integral +from sympy.integrals.risch import NonElementaryIntegral +from sympy.physics import units +from sympy.testing.pytest import raises, slow, warns_deprecated_sympy, warns +from sympy.utilities.exceptions import SymPyDeprecationWarning +from sympy.core.random import verify_numerically + + +x, y, z, a, b, c, d, e, s, t, x_1, x_2 = symbols('x y z a b c d e s t x_1 x_2') +n = Symbol('n', integer=True) +f = Function('f') + + +def NS(e, n=15, **options): + return sstr(sympify(e).evalf(n, **options), full_prec=True) + + +def test_poly_deprecated(): + p = Poly(2*x, x) + assert p.integrate(x) == Poly(x**2, x, domain='QQ') + # The stacklevel is based on Integral(Poly) + with warns(SymPyDeprecationWarning, test_stacklevel=False): + integrate(p, x) + with warns(SymPyDeprecationWarning, test_stacklevel=False): + Integral(p, (x,)) + + +@slow +def test_principal_value(): + g = 1 / x + assert Integral(g, (x, -oo, oo)).principal_value() == 0 + assert Integral(g, (y, -oo, oo)).principal_value() == oo * sign(1 / x) + raises(ValueError, lambda: Integral(g, (x)).principal_value()) + raises(ValueError, lambda: Integral(g).principal_value()) + + l = 1 / ((x ** 3) - 1) + assert Integral(l, (x, -oo, oo)).principal_value().together() == -sqrt(3)*pi/3 + raises(ValueError, lambda: Integral(l, (x, -oo, 1)).principal_value()) + + d = 1 / (x ** 2 - 1) + assert Integral(d, (x, -oo, oo)).principal_value() == 0 + assert Integral(d, (x, -2, 2)).principal_value() == -log(3) + + v = x / (x ** 2 - 1) + assert Integral(v, (x, -oo, oo)).principal_value() == 0 + assert Integral(v, (x, -2, 2)).principal_value() == 0 + + s = x ** 2 / (x ** 2 - 1) + assert Integral(s, (x, -oo, oo)).principal_value() is oo + assert Integral(s, (x, -2, 2)).principal_value() == -log(3) + 4 + + f = 1 / ((x ** 2 - 1) * (1 + x ** 2)) + assert Integral(f, (x, -oo, oo)).principal_value() == -pi / 2 + assert Integral(f, (x, -2, 2)).principal_value() == -atan(2) - log(3) / 2 + + +def diff_test(i): + """Return the set of symbols, s, which were used in testing that + i.diff(s) agrees with i.doit().diff(s). If there is an error then + the assertion will fail, causing the test to fail.""" + syms = i.free_symbols + for s in syms: + assert (i.diff(s).doit() - i.doit().diff(s)).expand() == 0 + return syms + + +def test_improper_integral(): + assert integrate(log(x), (x, 0, 1)) == -1 + assert integrate(x**(-2), (x, 1, oo)) == 1 + assert integrate(1/(1 + exp(x)), (x, 0, oo)) == log(2) + + +def test_constructor(): + # this is shared by Sum, so testing Integral's constructor + # is equivalent to testing Sum's + s1 = Integral(n, n) + assert s1.limits == (Tuple(n),) + s2 = Integral(n, (n,)) + assert s2.limits == (Tuple(n),) + s3 = Integral(Sum(x, (x, 1, y))) + assert s3.limits == (Tuple(y),) + s4 = Integral(n, Tuple(n,)) + assert s4.limits == (Tuple(n),) + + s5 = Integral(n, (n, Interval(1, 2))) + assert s5.limits == (Tuple(n, 1, 2),) + + # Testing constructor with inequalities: + s6 = Integral(n, n > 10) + assert s6.limits == (Tuple(n, 10, oo),) + s7 = Integral(n, (n > 2) & (n < 5)) + assert s7.limits == (Tuple(n, 2, 5),) + + +def test_basics(): + + assert Integral(0, x) != 0 + assert Integral(x, (x, 1, 1)) != 0 + assert Integral(oo, x) != oo + assert Integral(S.NaN, x) is S.NaN + + assert diff(Integral(y, y), x) == 0 + assert diff(Integral(x, (x, 0, 1)), x) == 0 + assert diff(Integral(x, x), x) == x + assert diff(Integral(t, (t, 0, x)), x) == x + + e = (t + 1)**2 + assert diff(integrate(e, (t, 0, x)), x) == \ + diff(Integral(e, (t, 0, x)), x).doit().expand() == \ + ((1 + x)**2).expand() + assert diff(integrate(e, (t, 0, x)), t) == \ + diff(Integral(e, (t, 0, x)), t) == 0 + assert diff(integrate(e, (t, 0, x)), a) == \ + diff(Integral(e, (t, 0, x)), a) == 0 + assert diff(integrate(e, t), a) == diff(Integral(e, t), a) == 0 + + assert integrate(e, (t, a, x)).diff(x) == \ + Integral(e, (t, a, x)).diff(x).doit().expand() + assert Integral(e, (t, a, x)).diff(x).doit() == ((1 + x)**2) + assert integrate(e, (t, x, a)).diff(x).doit() == (-(1 + x)**2).expand() + + assert integrate(t**2, (t, x, 2*x)).diff(x) == 7*x**2 + + assert Integral(x, x).atoms() == {x} + assert Integral(f(x), (x, 0, 1)).atoms() == {S.Zero, S.One, x} + + assert diff_test(Integral(x, (x, 3*y))) == {y} + assert diff_test(Integral(x, (a, 3*y))) == {x, y} + + assert integrate(x, (x, oo, oo)) == 0 #issue 8171 + assert integrate(x, (x, -oo, -oo)) == 0 + + # sum integral of terms + assert integrate(y + x + exp(x), x) == x*y + x**2/2 + exp(x) + + assert Integral(x).is_commutative + n = Symbol('n', commutative=False) + assert Integral(n + x, x).is_commutative is False + + +def test_diff_wrt(): + class Test(Expr): + _diff_wrt = True + is_commutative = True + + t = Test() + assert integrate(t + 1, t) == t**2/2 + t + assert integrate(t + 1, (t, 0, 1)) == Rational(3, 2) + + raises(ValueError, lambda: integrate(x + 1, x + 1)) + raises(ValueError, lambda: integrate(x + 1, (x + 1, 0, 1))) + + +def test_basics_multiple(): + assert diff_test(Integral(x, (x, 3*x, 5*y), (y, x, 2*x))) == {x} + assert diff_test(Integral(x, (x, 5*y), (y, x, 2*x))) == {x} + assert diff_test(Integral(x, (x, 5*y), (y, y, 2*x))) == {x, y} + assert diff_test(Integral(y, y, x)) == {x, y} + assert diff_test(Integral(y*x, x, y)) == {x, y} + assert diff_test(Integral(x + y, y, (y, 1, x))) == {x} + assert diff_test(Integral(x + y, (x, x, y), (y, y, x))) == {x, y} + + +def test_conjugate_transpose(): + A, B = symbols("A B", commutative=False) + + x = Symbol("x", complex=True) + p = Integral(A*B, (x,)) + assert p.adjoint().doit() == p.doit().adjoint() + assert p.conjugate().doit() == p.doit().conjugate() + assert p.transpose().doit() == p.doit().transpose() + + x = Symbol("x", real=True) + p = Integral(A*B, (x,)) + assert p.adjoint().doit() == p.doit().adjoint() + assert p.conjugate().doit() == p.doit().conjugate() + assert p.transpose().doit() == p.doit().transpose() + + +def test_integration(): + assert integrate(0, (t, 0, x)) == 0 + assert integrate(3, (t, 0, x)) == 3*x + assert integrate(t, (t, 0, x)) == x**2/2 + assert integrate(3*t, (t, 0, x)) == 3*x**2/2 + assert integrate(3*t**2, (t, 0, x)) == x**3 + assert integrate(1/t, (t, 1, x)) == log(x) + assert integrate(-1/t**2, (t, 1, x)) == 1/x - 1 + assert integrate(t**2 + 5*t - 8, (t, 0, x)) == x**3/3 + 5*x**2/2 - 8*x + assert integrate(x**2, x) == x**3/3 + assert integrate((3*t*x)**5, x) == (3*t)**5 * x**6 / 6 + + b = Symbol("b") + c = Symbol("c") + assert integrate(a*t, (t, 0, x)) == a*x**2/2 + assert integrate(a*t**4, (t, 0, x)) == a*x**5/5 + assert integrate(a*t**2 + b*t + c, (t, 0, x)) == a*x**3/3 + b*x**2/2 + c*x + + +def test_multiple_integration(): + assert integrate((x**2)*(y**2), (x, 0, 1), (y, -1, 2)) == Rational(1) + assert integrate((y**2)*(x**2), x, y) == Rational(1, 9)*(x**3)*(y**3) + assert integrate(1/(x + 3)/(1 + x)**3, x) == \ + log(3 + x)*Rational(-1, 8) + log(1 + x)*Rational(1, 8) + x/(4 + 8*x + 4*x**2) + assert integrate(sin(x*y)*y, (x, 0, 1), (y, 0, 1)) == -sin(1) + 1 + + +def test_issue_3532(): + assert integrate(exp(-x), (x, 0, oo)) == 1 + + +def test_issue_3560(): + assert integrate(sqrt(x)**3, x) == 2*sqrt(x)**5/5 + assert integrate(sqrt(x), x) == 2*sqrt(x)**3/3 + assert integrate(1/sqrt(x)**3, x) == -2/sqrt(x) + + +def test_issue_18038(): + raises(AttributeError, lambda: integrate((x, x))) + + +def test_integrate_poly(): + p = Poly(x + x**2*y + y**3, x, y) + + # The stacklevel is based on Integral(Poly) + with warns_deprecated_sympy(): + qx = Integral(p, x) + with warns(SymPyDeprecationWarning, test_stacklevel=False): + qx = integrate(p, x) + with warns(SymPyDeprecationWarning, test_stacklevel=False): + qy = integrate(p, y) + + assert isinstance(qx, Poly) is True + assert isinstance(qy, Poly) is True + + assert qx.gens == (x, y) + assert qy.gens == (x, y) + + assert qx.as_expr() == x**2/2 + x**3*y/3 + x*y**3 + assert qy.as_expr() == x*y + x**2*y**2/2 + y**4/4 + + +def test_integrate_poly_definite(): + p = Poly(x + x**2*y + y**3, x, y) + + with warns_deprecated_sympy(): + Qx = Integral(p, (x, 0, 1)) + with warns(SymPyDeprecationWarning, test_stacklevel=False): + Qx = integrate(p, (x, 0, 1)) + with warns(SymPyDeprecationWarning, test_stacklevel=False): + Qy = integrate(p, (y, 0, pi)) + + assert isinstance(Qx, Poly) is True + assert isinstance(Qy, Poly) is True + + assert Qx.gens == (y,) + assert Qy.gens == (x,) + + assert Qx.as_expr() == S.Half + y/3 + y**3 + assert Qy.as_expr() == pi**4/4 + pi*x + pi**2*x**2/2 + + +def test_integrate_omit_var(): + y = Symbol('y') + + assert integrate(x) == x**2/2 + + raises(ValueError, lambda: integrate(2)) + raises(ValueError, lambda: integrate(x*y)) + + +def test_integrate_poly_accurately(): + y = Symbol('y') + assert integrate(x*sin(y), x) == x**2*sin(y)/2 + + # when passed to risch_norman, this will be a CPU hog, so this really + # checks, that integrated function is recognized as polynomial + assert integrate(x**1000*sin(y), x) == x**1001*sin(y)/1001 + + +def test_issue_3635(): + y = Symbol('y') + assert integrate(x**2, y) == x**2*y + assert integrate(x**2, (y, -1, 1)) == 2*x**2 + +# works in SymPy and py.test but hangs in `setup.py test` + + +def test_integrate_linearterm_pow(): + # check integrate((a*x+b)^c, x) -- issue 3499 + y = Symbol('y', positive=True) + # TODO: Remove conds='none' below, let the assumption take care of it. + assert integrate(x**y, x, conds='none') == x**(y + 1)/(y + 1) + assert integrate((exp(y)*x + 1/y)**(1 + sin(y)), x, conds='none') == \ + exp(-y)*(exp(y)*x + 1/y)**(2 + sin(y)) / (2 + sin(y)) + + +def test_issue_3618(): + assert integrate(pi*sqrt(x), x) == 2*pi*sqrt(x)**3/3 + assert integrate(pi*sqrt(x) + E*sqrt(x)**3, x) == \ + 2*pi*sqrt(x)**3/3 + 2*E *sqrt(x)**5/5 + + +def test_issue_3623(): + assert integrate(cos((n + 1)*x), x) == Piecewise( + (sin(x*(n + 1))/(n + 1), Ne(n + 1, 0)), (x, True)) + assert integrate(cos((n - 1)*x), x) == Piecewise( + (sin(x*(n - 1))/(n - 1), Ne(n - 1, 0)), (x, True)) + assert integrate(cos((n + 1)*x) + cos((n - 1)*x), x) == \ + Piecewise((sin(x*(n - 1))/(n - 1), Ne(n - 1, 0)), (x, True)) + \ + Piecewise((sin(x*(n + 1))/(n + 1), Ne(n + 1, 0)), (x, True)) + + +def test_issue_3664(): + n = Symbol('n', integer=True, nonzero=True) + assert integrate(-1./2 * x * sin(n * pi * x/2), [x, -2, 0]) == \ + 2.0*cos(pi*n)/(pi*n) + assert integrate(x * sin(n * pi * x/2) * Rational(-1, 2), [x, -2, 0]) == \ + 2*cos(pi*n)/(pi*n) + + +def test_issue_3679(): + # definite integration of rational functions gives wrong answers + assert NS(Integral(1/(x**2 - 8*x + 17), (x, 2, 4))) == '1.10714871779409' + + +def test_issue_3686(): # remove this when fresnel integrals are implemented + from sympy.core.function import expand_func + from sympy.functions.special.error_functions import fresnels + assert expand_func(integrate(sin(x**2), x)) == \ + sqrt(2)*sqrt(pi)*fresnels(sqrt(2)*x/sqrt(pi))/2 + + +def test_integrate_units(): + m = units.m + s = units.s + assert integrate(x * m/s, (x, 1*s, 5*s)) == 12*m*s + + +def test_transcendental_functions(): + assert integrate(LambertW(2*x), x) == \ + -x + x*LambertW(2*x) + x/LambertW(2*x) + + +def test_log_polylog(): + assert integrate(log(1 - x)/x, (x, 0, 1)) == -pi**2/6 + assert integrate(log(x)*(1 - x)**(-1), (x, 0, 1)) == -pi**2/6 + + +def test_issue_3740(): + f = 4*log(x) - 2*log(x)**2 + fid = diff(integrate(f, x), x) + assert abs(f.subs(x, 42).evalf() - fid.subs(x, 42).evalf()) < 1e-10 + + +def test_issue_3788(): + assert integrate(1/(1 + x**2), x) == atan(x) + + +def test_issue_3952(): + f = sin(x) + assert integrate(f, x) == -cos(x) + raises(ValueError, lambda: integrate(f, 2*x)) + + +def test_issue_4516(): + assert integrate(2**x - 2*x, x) == 2**x/log(2) - x**2 + + +def test_issue_7450(): + ans = integrate(exp(-(1 + I)*x), (x, 0, oo)) + assert re(ans) == S.Half and im(ans) == Rational(-1, 2) + + +def test_issue_8623(): + assert integrate((1 + cos(2*x)) / (3 - 2*cos(2*x)), (x, 0, pi)) == -pi/2 + sqrt(5)*pi/2 + assert integrate((1 + cos(2*x))/(3 - 2*cos(2*x))) == -x/2 + sqrt(5)*(atan(sqrt(5)*tan(x)) + \ + pi*floor((x - pi/2)/pi))/2 + + +def test_issue_9569(): + assert integrate(1 / (2 - cos(x)), (x, 0, pi)) == pi/sqrt(3) + assert integrate(1/(2 - cos(x))) == 2*sqrt(3)*(atan(sqrt(3)*tan(x/2)) + pi*floor((x/2 - pi/2)/pi))/3 + + +def test_issue_13733(): + s = Symbol('s', positive=True) + pz = exp(-(z - y)**2/(2*s*s))/sqrt(2*pi*s*s) + pzgx = integrate(pz, (z, x, oo)) + assert integrate(pzgx, (x, 0, oo)) == sqrt(2)*s*exp(-y**2/(2*s**2))/(2*sqrt(pi)) + \ + y*erf(sqrt(2)*y/(2*s))/2 + y/2 + + +def test_issue_13749(): + assert integrate(1 / (2 + cos(x)), (x, 0, pi)) == pi/sqrt(3) + assert integrate(1/(2 + cos(x))) == 2*sqrt(3)*(atan(sqrt(3)*tan(x/2)/3) + pi*floor((x/2 - pi/2)/pi))/3 + + +def test_issue_18133(): + assert integrate(exp(x)/(1 + x)**2, x) == NonElementaryIntegral(exp(x)/(x + 1)**2, x) + + +def test_issue_21741(): + a = 4e6 + b = 2.5e-7 + r = Piecewise((b*I*exp(-a*I*pi*t*y)*exp(-a*I*pi*x*z)/(pi*x), Ne(x, 0)), + (z*exp(-a*I*pi*t*y), True)) + fun = E**((-2*I*pi*(z*x+t*y))/(500*10**(-9))) + assert all_close(integrate(fun, z), r) + + +def test_matrices(): + M = Matrix(2, 2, lambda i, j: (i + j + 1)*sin((i + j + 1)*x)) + + assert integrate(M, x) == Matrix([ + [-cos(x), -cos(2*x)], + [-cos(2*x), -cos(3*x)], + ]) + + +def test_integrate_functions(): + # issue 4111 + assert integrate(f(x), x) == Integral(f(x), x) + assert integrate(f(x), (x, 0, 1)) == Integral(f(x), (x, 0, 1)) + assert integrate(f(x)*diff(f(x), x), x) == f(x)**2/2 + assert integrate(diff(f(x), x) / f(x), x) == log(f(x)) + + +def test_integrate_derivatives(): + assert integrate(Derivative(f(x), x), x) == f(x) + assert integrate(Derivative(f(y), y), x) == x*Derivative(f(y), y) + assert integrate(Derivative(f(x), x)**2, x) == \ + Integral(Derivative(f(x), x)**2, x) + + +def test_transform(): + a = Integral(x**2 + 1, (x, -1, 2)) + fx = x + fy = 3*y + 1 + assert a.doit() == a.transform(fx, fy).doit() + assert a.transform(fx, fy).transform(fy, fx) == a + fx = 3*x + 1 + fy = y + assert a.transform(fx, fy).transform(fy, fx) == a + a = Integral(sin(1/x), (x, 0, 1)) + assert a.transform(x, 1/y) == Integral(sin(y)/y**2, (y, 1, oo)) + assert a.transform(x, 1/y).transform(y, 1/x) == a + a = Integral(exp(-x**2), (x, -oo, oo)) + assert a.transform(x, 2*y) == Integral(2*exp(-4*y**2), (y, -oo, oo)) + # < 3 arg limit handled properly + assert Integral(x, x).transform(x, a*y).doit() == \ + Integral(y*a**2, y).doit() + _3 = S(3) + assert Integral(x, (x, 0, -_3)).transform(x, 1/y).doit() == \ + Integral(-1/x**3, (x, -oo, -1/_3)).doit() + assert Integral(x, (x, 0, _3)).transform(x, 1/y) == \ + Integral(y**(-3), (y, 1/_3, oo)) + # issue 8400 + i = Integral(x + y, (x, 1, 2), (y, 1, 2)) + assert i.transform(x, (x + 2*y, x)).doit() == \ + i.transform(x, (x + 2*z, x)).doit() == 3 + + i = Integral(x, (x, a, b)) + assert i.transform(x, 2*s) == Integral(4*s, (s, a/2, b/2)) + raises(ValueError, lambda: i.transform(x, 1)) + raises(ValueError, lambda: i.transform(x, s*t)) + raises(ValueError, lambda: i.transform(x, -s)) + raises(ValueError, lambda: i.transform(x, (s, t))) + raises(ValueError, lambda: i.transform(2*x, 2*s)) + + i = Integral(x**2, (x, 1, 2)) + raises(ValueError, lambda: i.transform(x**2, s)) + + am = Symbol('a', negative=True) + bp = Symbol('b', positive=True) + i = Integral(x, (x, bp, am)) + i.transform(x, 2*s) + assert i.transform(x, 2*s) == Integral(-4*s, (s, am/2, bp/2)) + + i = Integral(x, (x, a)) + assert i.transform(x, 2*s) == Integral(4*s, (s, a/2)) + + +def test_issue_4052(): + f = S.Half*asin(x) + x*sqrt(1 - x**2)/2 + + assert integrate(cos(asin(x)), x) == f + assert integrate(sin(acos(x)), x) == f + + +@slow +def test_evalf_integrals(): + assert NS(Integral(x, (x, 2, 5)), 15) == '10.5000000000000' + gauss = Integral(exp(-x**2), (x, -oo, oo)) + assert NS(gauss, 15) == '1.77245385090552' + assert NS(gauss**2 - pi + E*Rational( + 1, 10**20), 15) in ('2.71828182845904e-20', '2.71828182845905e-20') + # A monster of an integral from http://mathworld.wolfram.com/DefiniteIntegral.html + t = Symbol('t') + a = 8*sqrt(3)/(1 + 3*t**2) + b = 16*sqrt(2)*(3*t + 1)*sqrt(4*t**2 + t + 1)**3 + c = (3*t**2 + 1)*(11*t**2 + 2*t + 3)**2 + d = sqrt(2)*(249*t**2 + 54*t + 65)/(11*t**2 + 2*t + 3)**2 + f = a - b/c - d + assert NS(Integral(f, (t, 0, 1)), 50) == \ + NS((3*sqrt(2) - 49*pi + 162*atan(sqrt(2)))/12, 50) + # http://mathworld.wolfram.com/VardisIntegral.html + assert NS(Integral(log(log(1/x))/(1 + x + x**2), (x, 0, 1)), 15) == \ + NS('pi/sqrt(3) * log(2*pi**(5/6) / gamma(1/6))', 15) + # http://mathworld.wolfram.com/AhmedsIntegral.html + assert NS(Integral(atan(sqrt(x**2 + 2))/(sqrt(x**2 + 2)*(x**2 + 1)), (x, + 0, 1)), 15) == NS(5*pi**2/96, 15) + # http://mathworld.wolfram.com/AbelsIntegral.html + assert NS(Integral(x/((exp(pi*x) - exp( + -pi*x))*(x**2 + 1)), (x, 0, oo)), 15) == NS('log(2)/2-1/4', 15) + # Complex part trimming + # http://mathworld.wolfram.com/VardisIntegral.html + assert NS(Integral(log(log(sin(x)/cos(x))), (x, pi/4, pi/2)), 15, chop=True) == \ + NS('pi/4*log(4*pi**3/gamma(1/4)**4)', 15) + # + # Endpoints causing trouble (rounding error in integration points -> complex log) + assert NS( + 2 + Integral(log(2*cos(x/2)), (x, -pi, pi)), 17, chop=True) == NS(2, 17) + assert NS( + 2 + Integral(log(2*cos(x/2)), (x, -pi, pi)), 20, chop=True) == NS(2, 20) + assert NS( + 2 + Integral(log(2*cos(x/2)), (x, -pi, pi)), 22, chop=True) == NS(2, 22) + # Needs zero handling + assert NS(pi - 4*Integral( + 'sqrt(1-x**2)', (x, 0, 1)), 15, maxn=30, chop=True) in ('0.0', '0') + # Oscillatory quadrature + a = Integral(sin(x)/x**2, (x, 1, oo)).evalf(maxn=15) + assert 0.49 < a < 0.51 + assert NS( + Integral(sin(x)/x**2, (x, 1, oo)), quad='osc') == '0.504067061906928' + assert NS(Integral( + cos(pi*x + 1)/x, (x, -oo, -1)), quad='osc') == '0.276374705640365' + # indefinite integrals aren't evaluated + assert NS(Integral(x, x)) == 'Integral(x, x)' + assert NS(Integral(x, (x, y))) == 'Integral(x, (x, y))' + + +def test_evalf_issue_939(): + # https://github.com/sympy/sympy/issues/4038 + + # The output form of an integral may differ by a step function between + # revisions, making this test a bit useless. This can't be said about + # other two tests. For now, all values of this evaluation are used here, + # but in future this should be reconsidered. + assert NS(integrate(1/(x**5 + 1), x).subs(x, 4), chop=True) in \ + ['-0.000976138910649103', '0.965906660135753', '1.93278945918216'] + + assert NS(Integral(1/(x**5 + 1), (x, 2, 4))) == '0.0144361088886740' + assert NS( + integrate(1/(x**5 + 1), (x, 2, 4)), chop=True) == '0.0144361088886740' + + +def test_double_previously_failing_integrals(): + # Double integrals not implemented <- Sure it is! + res = integrate(sqrt(x) + x*y, (x, 1, 2), (y, -1, 1)) + # Old numerical test + assert NS(res, 15) == '2.43790283299492' + # Symbolic test + assert res == Rational(-4, 3) + 8*sqrt(2)/3 + # double integral + zero detection + assert integrate(sin(x + x*y), (x, -1, 1), (y, -1, 1)) is S.Zero + + +def test_integrate_SingularityFunction(): + in_1 = SingularityFunction(x, a, 3) + SingularityFunction(x, 5, -1) + out_1 = SingularityFunction(x, a, 4)/4 + SingularityFunction(x, 5, 0) + assert integrate(in_1, x) == out_1 + + in_2 = 10*SingularityFunction(x, 4, 0) - 5*SingularityFunction(x, -6, -2) + out_2 = 10*SingularityFunction(x, 4, 1) - 5*SingularityFunction(x, -6, -1) + assert integrate(in_2, x) == out_2 + + in_3 = 2*x**2*y -10*SingularityFunction(x, -4, 7) - 2*SingularityFunction(y, 10, -2) + out_3_1 = 2*x**3*y/3 - 2*x*SingularityFunction(y, 10, -2) - 5*SingularityFunction(x, -4, 8)/4 + out_3_2 = x**2*y**2 - 10*y*SingularityFunction(x, -4, 7) - 2*SingularityFunction(y, 10, -1) + assert integrate(in_3, x) == out_3_1 + assert integrate(in_3, y) == out_3_2 + + assert unchanged(Integral, in_3, (x,)) + assert Integral(in_3, x) == Integral(in_3, (x,)) + assert Integral(in_3, x).doit() == out_3_1 + + in_4 = 10*SingularityFunction(x, -4, 7) - 2*SingularityFunction(x, 10, -2) + out_4 = 5*SingularityFunction(x, -4, 8)/4 - 2*SingularityFunction(x, 10, -1) + assert integrate(in_4, (x, -oo, x)) == out_4 + + assert integrate(SingularityFunction(x, 5, -1), x) == SingularityFunction(x, 5, 0) + assert integrate(SingularityFunction(x, 0, -1), (x, -oo, oo)) == 1 + assert integrate(5*SingularityFunction(x, 5, -1), (x, -oo, oo)) == 5 + assert integrate(SingularityFunction(x, 5, -1) * f(x), (x, -oo, oo)) == f(5) + + +def test_integrate_DiracDelta(): + # This is here to check that deltaintegrate is being called, but also + # to test definite integrals. More tests are in test_deltafunctions.py + assert integrate(DiracDelta(x) * f(x), (x, -oo, oo)) == f(0) + assert integrate(DiracDelta(x)**2, (x, -oo, oo)) == DiracDelta(0) + # issue 4522 + assert integrate(integrate((4 - 4*x + x*y - 4*y) * \ + DiracDelta(x)*DiracDelta(y - 1), (x, 0, 1)), (y, 0, 1)) == 0 + # issue 5729 + p = exp(-(x**2 + y**2))/pi + assert integrate(p*DiracDelta(x - 10*y), (x, -oo, oo), (y, -oo, oo)) == \ + integrate(p*DiracDelta(x - 10*y), (y, -oo, oo), (x, -oo, oo)) == \ + integrate(p*DiracDelta(10*x - y), (x, -oo, oo), (y, -oo, oo)) == \ + integrate(p*DiracDelta(10*x - y), (y, -oo, oo), (x, -oo, oo)) == \ + 1/sqrt(101*pi) + + +def test_integrate_returns_piecewise(): + assert integrate(x**y, x) == Piecewise( + (x**(y + 1)/(y + 1), Ne(y, -1)), (log(x), True)) + assert integrate(x**y, y) == Piecewise( + (x**y/log(x), Ne(log(x), 0)), (y, True)) + assert integrate(exp(n*x), x) == Piecewise( + (exp(n*x)/n, Ne(n, 0)), (x, True)) + assert integrate(x*exp(n*x), x) == Piecewise( + ((n*x - 1)*exp(n*x)/n**2, Ne(n**2, 0)), (x**2/2, True)) + assert integrate(x**(n*y), x) == Piecewise( + (x**(n*y + 1)/(n*y + 1), Ne(n*y, -1)), (log(x), True)) + assert integrate(x**(n*y), y) == Piecewise( + (x**(n*y)/(n*log(x)), Ne(n*log(x), 0)), (y, True)) + assert integrate(cos(n*x), x) == Piecewise( + (sin(n*x)/n, Ne(n, 0)), (x, True)) + assert integrate(cos(n*x)**2, x) == Piecewise( + ((n*x/2 + sin(n*x)*cos(n*x)/2)/n, Ne(n, 0)), (x, True)) + assert integrate(x*cos(n*x), x) == Piecewise( + (x*sin(n*x)/n + cos(n*x)/n**2, Ne(n, 0)), (x**2/2, True)) + assert integrate(sin(n*x), x) == Piecewise( + (-cos(n*x)/n, Ne(n, 0)), (0, True)) + assert integrate(sin(n*x)**2, x) == Piecewise( + ((n*x/2 - sin(n*x)*cos(n*x)/2)/n, Ne(n, 0)), (0, True)) + assert integrate(x*sin(n*x), x) == Piecewise( + (-x*cos(n*x)/n + sin(n*x)/n**2, Ne(n, 0)), (0, True)) + assert integrate(exp(x*y), (x, 0, z)) == Piecewise( + (exp(y*z)/y - 1/y, (y > -oo) & (y < oo) & Ne(y, 0)), (z, True)) + # https://github.com/sympy/sympy/issues/23707 + assert integrate(exp(t)*exp(-t*sqrt(x - y)), t) == Piecewise( + (-exp(t)/(sqrt(x - y)*exp(t*sqrt(x - y)) - exp(t*sqrt(x - y))), + Ne(x, y + 1)), (t, True)) + + +def test_integrate_max_min(): + x = symbols('x', real=True) + assert integrate(Min(x, 2), (x, 0, 3)) == 4 + assert integrate(Max(x**2, x**3), (x, 0, 2)) == Rational(49, 12) + assert integrate(Min(exp(x), exp(-x))**2, x) == Piecewise( \ + (exp(2*x)/2, x <= 0), (1 - exp(-2*x)/2, True)) + # issue 7907 + c = symbols('c', extended_real=True) + int1 = integrate(Max(c, x)*exp(-x**2), (x, -oo, oo)) + int2 = integrate(c*exp(-x**2), (x, -oo, c)) + int3 = integrate(x*exp(-x**2), (x, c, oo)) + assert int1 == int2 + int3 == sqrt(pi)*c*erf(c)/2 + \ + sqrt(pi)*c/2 + exp(-c**2)/2 + + +def test_integrate_Abs_sign(): + assert integrate(Abs(x), (x, -2, 1)) == Rational(5, 2) + assert integrate(Abs(x), (x, 0, 1)) == S.Half + assert integrate(Abs(x + 1), (x, 0, 1)) == Rational(3, 2) + assert integrate(Abs(x**2 - 1), (x, -2, 2)) == 4 + assert integrate(Abs(x**2 - 3*x), (x, -15, 15)) == 2259 + assert integrate(sign(x), (x, -1, 2)) == 1 + assert integrate(sign(x)*sin(x), (x, -pi, pi)) == 4 + assert integrate(sign(x - 2) * x**2, (x, 0, 3)) == Rational(11, 3) + + t, s = symbols('t s', real=True) + assert integrate(Abs(t), t) == Piecewise( + (-t**2/2, t <= 0), (t**2/2, True)) + assert integrate(Abs(2*t - 6), t) == Piecewise( + (-t**2 + 6*t, t <= 3), (t**2 - 6*t + 18, True)) + assert (integrate(abs(t - s**2), (t, 0, 2)) == + 2*s**2*Min(2, s**2) - 2*s**2 - Min(2, s**2)**2 + 2) + assert integrate(exp(-Abs(t)), t) == Piecewise( + (exp(t), t <= 0), (2 - exp(-t), True)) + assert integrate(sign(2*t - 6), t) == Piecewise( + (-t, t < 3), (t - 6, True)) + assert integrate(2*t*sign(t**2 - 1), t) == Piecewise( + (t**2, t < -1), (-t**2 + 2, t < 1), (t**2, True)) + assert integrate(sign(t), (t, s + 1)) == Piecewise( + (s + 1, s + 1 > 0), (-s - 1, s + 1 < 0), (0, True)) + + +def test_subs1(): + e = Integral(exp(x - y), x) + assert e.subs(y, 3) == Integral(exp(x - 3), x) + e = Integral(exp(x - y), (x, 0, 1)) + assert e.subs(y, 3) == Integral(exp(x - 3), (x, 0, 1)) + f = Lambda(x, exp(-x**2)) + conv = Integral(f(x - y)*f(y), (y, -oo, oo)) + assert conv.subs({x: 0}) == Integral(exp(-2*y**2), (y, -oo, oo)) + + +def test_subs2(): + e = Integral(exp(x - y), x, t) + assert e.subs(y, 3) == Integral(exp(x - 3), x, t) + e = Integral(exp(x - y), (x, 0, 1), (t, 0, 1)) + assert e.subs(y, 3) == Integral(exp(x - 3), (x, 0, 1), (t, 0, 1)) + f = Lambda(x, exp(-x**2)) + conv = Integral(f(x - y)*f(y), (y, -oo, oo), (t, 0, 1)) + assert conv.subs({x: 0}) == Integral(exp(-2*y**2), (y, -oo, oo), (t, 0, 1)) + + +def test_subs3(): + e = Integral(exp(x - y), (x, 0, y), (t, y, 1)) + assert e.subs(y, 3) == Integral(exp(x - 3), (x, 0, 3), (t, 3, 1)) + f = Lambda(x, exp(-x**2)) + conv = Integral(f(x - y)*f(y), (y, -oo, oo), (t, x, 1)) + assert conv.subs({x: 0}) == Integral(exp(-2*y**2), (y, -oo, oo), (t, 0, 1)) + + +def test_subs4(): + e = Integral(exp(x), (x, 0, y), (t, y, 1)) + assert e.subs(y, 3) == Integral(exp(x), (x, 0, 3), (t, 3, 1)) + f = Lambda(x, exp(-x**2)) + conv = Integral(f(y)*f(y), (y, -oo, oo), (t, x, 1)) + assert conv.subs({x: 0}) == Integral(exp(-2*y**2), (y, -oo, oo), (t, 0, 1)) + + +def test_subs5(): + e = Integral(exp(-x**2), (x, -oo, oo)) + assert e.subs(x, 5) == e + e = Integral(exp(-x**2 + y), x) + assert e.subs(y, 5) == Integral(exp(-x**2 + 5), x) + e = Integral(exp(-x**2 + y), (x, x)) + assert e.subs(x, 5) == Integral(exp(y - x**2), (x, 5)) + assert e.subs(y, 5) == Integral(exp(-x**2 + 5), x) + e = Integral(exp(-x**2 + y), (y, -oo, oo), (x, -oo, oo)) + assert e.subs(x, 5) == e + assert e.subs(y, 5) == e + # Test evaluation of antiderivatives + e = Integral(exp(-x**2), (x, x)) + assert e.subs(x, 5) == Integral(exp(-x**2), (x, 5)) + e = Integral(exp(x), x) + assert (e.subs(x,1) - e.subs(x,0) - Integral(exp(x), (x, 0, 1)) + ).doit().is_zero + + +def test_subs6(): + a, b = symbols('a b') + e = Integral(x*y, (x, f(x), f(y))) + assert e.subs(x, 1) == Integral(x*y, (x, f(1), f(y))) + assert e.subs(y, 1) == Integral(x, (x, f(x), f(1))) + e = Integral(x*y, (x, f(x), f(y)), (y, f(x), f(y))) + assert e.subs(x, 1) == Integral(x*y, (x, f(1), f(y)), (y, f(1), f(y))) + assert e.subs(y, 1) == Integral(x*y, (x, f(x), f(y)), (y, f(x), f(1))) + e = Integral(x*y, (x, f(x), f(a)), (y, f(x), f(a))) + assert e.subs(a, 1) == Integral(x*y, (x, f(x), f(1)), (y, f(x), f(1))) + + +def test_subs7(): + e = Integral(x, (x, 1, y), (y, 1, 2)) + assert e.subs({x: 1, y: 2}) == e + e = Integral(sin(x) + sin(y), (x, sin(x), sin(y)), + (y, 1, 2)) + assert e.subs(sin(y), 1) == e + assert e.subs(sin(x), 1) == Integral(sin(x) + sin(y), (x, 1, sin(y)), + (y, 1, 2)) + +def test_expand(): + e = Integral(f(x)+f(x**2), (x, 1, y)) + assert e.expand() == Integral(f(x), (x, 1, y)) + Integral(f(x**2), (x, 1, y)) + e = Integral(f(x)+f(x**2), (x, 1, oo)) + assert e.expand() == e + assert e.expand(force=True) == Integral(f(x), (x, 1, oo)) + \ + Integral(f(x**2), (x, 1, oo)) + + +def test_integration_variable(): + raises(ValueError, lambda: Integral(exp(-x**2), 3)) + raises(ValueError, lambda: Integral(exp(-x**2), (3, -oo, oo))) + + +def test_expand_integral(): + assert Integral(cos(x**2)*(sin(x**2) + 1), (x, 0, 1)).expand() == \ + Integral(cos(x**2)*sin(x**2), (x, 0, 1)) + \ + Integral(cos(x**2), (x, 0, 1)) + assert Integral(cos(x**2)*(sin(x**2) + 1), x).expand() == \ + Integral(cos(x**2)*sin(x**2), x) + \ + Integral(cos(x**2), x) + + +def test_as_sum_midpoint1(): + e = Integral(sqrt(x**3 + 1), (x, 2, 10)) + assert e.as_sum(1, method="midpoint") == 8*sqrt(217) + assert e.as_sum(2, method="midpoint") == 4*sqrt(65) + 12*sqrt(57) + assert e.as_sum(3, method="midpoint") == 8*sqrt(217)/3 + \ + 8*sqrt(3081)/27 + 8*sqrt(52809)/27 + assert e.as_sum(4, method="midpoint") == 2*sqrt(730) + \ + 4*sqrt(7) + 4*sqrt(86) + 6*sqrt(14) + assert abs(e.as_sum(4, method="midpoint").n() - e.n()) < 0.5 + + e = Integral(sqrt(x**3 + y**3), (x, 2, 10), (y, 0, 10)) + raises(NotImplementedError, lambda: e.as_sum(4)) + + +def test_as_sum_midpoint2(): + e = Integral((x + y)**2, (x, 0, 1)) + n = Symbol('n', positive=True, integer=True) + assert e.as_sum(1, method="midpoint").expand() == Rational(1, 4) + y + y**2 + assert e.as_sum(2, method="midpoint").expand() == Rational(5, 16) + y + y**2 + assert e.as_sum(3, method="midpoint").expand() == Rational(35, 108) + y + y**2 + assert e.as_sum(4, method="midpoint").expand() == Rational(21, 64) + y + y**2 + assert e.as_sum(n, method="midpoint").expand() == \ + y**2 + y + Rational(1, 3) - 1/(12*n**2) + + +def test_as_sum_left(): + e = Integral((x + y)**2, (x, 0, 1)) + assert e.as_sum(1, method="left").expand() == y**2 + assert e.as_sum(2, method="left").expand() == Rational(1, 8) + y/2 + y**2 + assert e.as_sum(3, method="left").expand() == Rational(5, 27) + y*Rational(2, 3) + y**2 + assert e.as_sum(4, method="left").expand() == Rational(7, 32) + y*Rational(3, 4) + y**2 + assert e.as_sum(n, method="left").expand() == \ + y**2 + y + Rational(1, 3) - y/n - 1/(2*n) + 1/(6*n**2) + assert e.as_sum(10, method="left", evaluate=False).has(Sum) + + +def test_as_sum_right(): + e = Integral((x + y)**2, (x, 0, 1)) + assert e.as_sum(1, method="right").expand() == 1 + 2*y + y**2 + assert e.as_sum(2, method="right").expand() == Rational(5, 8) + y*Rational(3, 2) + y**2 + assert e.as_sum(3, method="right").expand() == Rational(14, 27) + y*Rational(4, 3) + y**2 + assert e.as_sum(4, method="right").expand() == Rational(15, 32) + y*Rational(5, 4) + y**2 + assert e.as_sum(n, method="right").expand() == \ + y**2 + y + Rational(1, 3) + y/n + 1/(2*n) + 1/(6*n**2) + + +def test_as_sum_trapezoid(): + e = Integral((x + y)**2, (x, 0, 1)) + assert e.as_sum(1, method="trapezoid").expand() == y**2 + y + S.Half + assert e.as_sum(2, method="trapezoid").expand() == y**2 + y + Rational(3, 8) + assert e.as_sum(3, method="trapezoid").expand() == y**2 + y + Rational(19, 54) + assert e.as_sum(4, method="trapezoid").expand() == y**2 + y + Rational(11, 32) + assert e.as_sum(n, method="trapezoid").expand() == \ + y**2 + y + Rational(1, 3) + 1/(6*n**2) + assert Integral(sign(x), (x, 0, 1)).as_sum(1, 'trapezoid') == S.Half + + +def test_as_sum_raises(): + e = Integral((x + y)**2, (x, 0, 1)) + raises(ValueError, lambda: e.as_sum(-1)) + raises(ValueError, lambda: e.as_sum(0)) + raises(ValueError, lambda: Integral(x).as_sum(3)) + raises(ValueError, lambda: e.as_sum(oo)) + raises(ValueError, lambda: e.as_sum(3, method='xxxx2')) + + +def test_nested_doit(): + e = Integral(Integral(x, x), x) + f = Integral(x, x, x) + assert e.doit() == f.doit() + + +def test_issue_4665(): + # Allow only upper or lower limit evaluation + e = Integral(x**2, (x, None, 1)) + f = Integral(x**2, (x, 1, None)) + assert e.doit() == Rational(1, 3) + assert f.doit() == Rational(-1, 3) + assert Integral(x*y, (x, None, y)).subs(y, t) == Integral(x*t, (x, None, t)) + assert Integral(x*y, (x, y, None)).subs(y, t) == Integral(x*t, (x, t, None)) + assert integrate(x**2, (x, None, 1)) == Rational(1, 3) + assert integrate(x**2, (x, 1, None)) == Rational(-1, 3) + assert integrate("x**2", ("x", "1", None)) == Rational(-1, 3) + + +def test_integral_reconstruct(): + e = Integral(x**2, (x, -1, 1)) + assert e == Integral(*e.args) + + +def test_doit_integrals(): + e = Integral(Integral(2*x), (x, 0, 1)) + assert e.doit() == Rational(1, 3) + assert e.doit(deep=False) == Rational(1, 3) + f = Function('f') + # doesn't matter if the integral can't be performed + assert Integral(f(x), (x, 1, 1)).doit() == 0 + # doesn't matter if the limits can't be evaluated + assert Integral(0, (x, 1, Integral(f(x), x))).doit() == 0 + assert Integral(x, (a, 0)).doit() == 0 + limits = ((a, 1, exp(x)), (x, 0)) + assert Integral(a, *limits).doit() == Rational(1, 4) + assert Integral(a, *list(reversed(limits))).doit() == 0 + + +def test_issue_4884(): + assert integrate(sqrt(x)*(1 + x)) == \ + Piecewise( + (2*sqrt(x)*(x + 1)**2/5 - 2*sqrt(x)*(x + 1)/15 - 4*sqrt(x)/15, + Abs(x + 1) > 1), + (2*I*sqrt(-x)*(x + 1)**2/5 - 2*I*sqrt(-x)*(x + 1)/15 - + 4*I*sqrt(-x)/15, True)) + assert integrate(x**x*(1 + log(x))) == x**x + +def test_issue_18153(): + assert integrate(x**n*log(x),x) == \ + Piecewise( + (n*x*x**n*log(x)/(n**2 + 2*n + 1) + + x*x**n*log(x)/(n**2 + 2*n + 1) - x*x**n/(n**2 + 2*n + 1) + , Ne(n, -1)), (log(x)**2/2, True) + ) + + +def test_is_number(): + from sympy.abc import x, y, z + assert Integral(x).is_number is False + assert Integral(1, x).is_number is False + assert Integral(1, (x, 1)).is_number is True + assert Integral(1, (x, 1, 2)).is_number is True + assert Integral(1, (x, 1, y)).is_number is False + assert Integral(1, (x, y)).is_number is False + assert Integral(x, y).is_number is False + assert Integral(x, (y, 1, x)).is_number is False + assert Integral(x, (y, 1, 2)).is_number is False + assert Integral(x, (x, 1, 2)).is_number is True + # `foo.is_number` should always be equivalent to `not foo.free_symbols` + # in each of these cases, there are pseudo-free symbols + i = Integral(x, (y, 1, 1)) + assert i.is_number is False and i.n() == 0 + i = Integral(x, (y, z, z)) + assert i.is_number is False and i.n() == 0 + i = Integral(1, (y, z, z + 2)) + assert i.is_number is False and i.n() == 2.0 + + assert Integral(x*y, (x, 1, 2), (y, 1, 3)).is_number is True + assert Integral(x*y, (x, 1, 2), (y, 1, z)).is_number is False + assert Integral(x, (x, 1)).is_number is True + assert Integral(x, (x, 1, Integral(y, (y, 1, 2)))).is_number is True + assert Integral(Sum(z, (z, 1, 2)), (x, 1, 2)).is_number is True + # it is possible to get a false negative if the integrand is + # actually an unsimplified zero, but this is true of is_number in general. + assert Integral(sin(x)**2 + cos(x)**2 - 1, x).is_number is False + assert Integral(f(x), (x, 0, 1)).is_number is True + + +def test_free_symbols(): + from sympy.abc import x, y, z + assert Integral(0, x).free_symbols == {x} + assert Integral(x).free_symbols == {x} + assert Integral(x, (x, None, y)).free_symbols == {y} + assert Integral(x, (x, y, None)).free_symbols == {y} + assert Integral(x, (x, 1, y)).free_symbols == {y} + assert Integral(x, (x, y, 1)).free_symbols == {y} + assert Integral(x, (x, x, y)).free_symbols == {x, y} + assert Integral(x, x, y).free_symbols == {x, y} + assert Integral(x, (x, 1, 2)).free_symbols == set() + assert Integral(x, (y, 1, 2)).free_symbols == {x} + # pseudo-free in this case + assert Integral(x, (y, z, z)).free_symbols == {x, z} + assert Integral(x, (y, 1, 2), (y, None, None) + ).free_symbols == {x, y} + assert Integral(x, (y, 1, 2), (x, 1, y) + ).free_symbols == {y} + assert Integral(2, (y, 1, 2), (y, 1, x), (x, 1, 2) + ).free_symbols == set() + assert Integral(2, (y, x, 2), (y, 1, x), (x, 1, 2) + ).free_symbols == set() + assert Integral(2, (x, 1, 2), (y, x, 2), (y, 1, 2) + ).free_symbols == {x} + assert Integral(f(x), (f(x), 1, y)).free_symbols == {y} + assert Integral(f(x), (f(x), 1, x)).free_symbols == {x} + + +def test_is_zero(): + from sympy.abc import x, m + assert Integral(0, (x, 1, x)).is_zero + assert Integral(1, (x, 1, 1)).is_zero + assert Integral(1, (x, 1, 2), (y, 2)).is_zero is False + assert Integral(x, (m, 0)).is_zero + assert Integral(x + m, (m, 0)).is_zero is None + i = Integral(m, (m, 1, exp(x)), (x, 0)) + assert i.is_zero is None + assert Integral(m, (x, 0), (m, 1, exp(x))).is_zero is True + + assert Integral(x, (x, oo, oo)).is_zero # issue 8171 + assert Integral(x, (x, -oo, -oo)).is_zero + + # this is zero but is beyond the scope of what is_zero + # should be doing + assert Integral(sin(x), (x, 0, 2*pi)).is_zero is None + + +def test_series(): + from sympy.abc import x + i = Integral(cos(x), (x, x)) + e = i.lseries(x) + assert i.nseries(x, n=8).removeO() == Add(*[next(e) for j in range(4)]) + + +def test_trig_nonelementary_integrals(): + x = Symbol('x') + assert integrate((1 + sin(x))/x, x) == log(x) + Si(x) + # next one comes out as log(x) + log(x**2)/2 + Ci(x) + # so not hardcoding this log ugliness + assert integrate((cos(x) + 2)/x, x).has(Ci) + + +def test_issue_4403(): + x = Symbol('x') + y = Symbol('y') + z = Symbol('z', positive=True) + assert integrate(sqrt(x**2 + z**2), x) == \ + z**2*asinh(x/z)/2 + x*sqrt(x**2 + z**2)/2 + assert integrate(sqrt(x**2 - z**2), x) == \ + x*sqrt(x**2 - z**2)/2 - z**2*log(x + sqrt(x**2 - z**2))/2 + + x = Symbol('x', real=True) + y = Symbol('y', positive=True) + assert integrate(1/(x**2 + y**2)**S('3/2'), x) == \ + x/(y**2*sqrt(x**2 + y**2)) + # If y is real and nonzero, we get x*Abs(y)/(y**3*sqrt(x**2 + y**2)), + # which results from sqrt(1 + x**2/y**2) = sqrt(x**2 + y**2)/|y|. + + +def test_issue_4403_2(): + assert integrate(sqrt(-x**2 - 4), x) == \ + -2*atan(x/sqrt(-4 - x**2)) + x*sqrt(-4 - x**2)/2 + + +def test_issue_4100(): + R = Symbol('R', positive=True) + assert integrate(sqrt(R**2 - x**2), (x, 0, R)) == pi*R**2/4 + + +def test_issue_5167(): + from sympy.abc import w, x, y, z + f = Function('f') + assert Integral(Integral(f(x), x), x) == Integral(f(x), x, x) + assert Integral(f(x)).args == (f(x), Tuple(x)) + assert Integral(Integral(f(x))).args == (f(x), Tuple(x), Tuple(x)) + assert Integral(Integral(f(x)), y).args == (f(x), Tuple(x), Tuple(y)) + assert Integral(Integral(f(x), z), y).args == (f(x), Tuple(z), Tuple(y)) + assert Integral(Integral(Integral(f(x), x), y), z).args == \ + (f(x), Tuple(x), Tuple(y), Tuple(z)) + assert integrate(Integral(f(x), x), x) == Integral(f(x), x, x) + assert integrate(Integral(f(x), y), x) == y*Integral(f(x), x) + assert integrate(Integral(f(x), x), y) in [Integral(y*f(x), x), y*Integral(f(x), x)] + assert integrate(Integral(2, x), x) == x**2 + assert integrate(Integral(2, x), y) == 2*x*y + # don't re-order given limits + assert Integral(1, x, y).args != Integral(1, y, x).args + # do as many as possible + assert Integral(f(x), y, x, y, x).doit() == y**2*Integral(f(x), x, x)/2 + assert Integral(f(x), (x, 1, 2), (w, 1, x), (z, 1, y)).doit() == \ + y*(x - 1)*Integral(f(x), (x, 1, 2)) - (x - 1)*Integral(f(x), (x, 1, 2)) + + +def test_issue_4890(): + z = Symbol('z', positive=True) + assert integrate(exp(-log(x)**2), x) == \ + sqrt(pi)*exp(Rational(1, 4))*erf(log(x) - S.Half)/2 + assert integrate(exp(log(x)**2), x) == \ + sqrt(pi)*exp(Rational(-1, 4))*erfi(log(x)+S.Half)/2 + assert integrate(exp(-z*log(x)**2), x) == \ + sqrt(pi)*exp(1/(4*z))*erf(sqrt(z)*log(x) - 1/(2*sqrt(z)))/(2*sqrt(z)) + + +def test_issue_4551(): + assert not integrate(1/(x*sqrt(1 - x**2)), x).has(Integral) + + +def test_issue_4376(): + n = Symbol('n', integer=True, positive=True) + assert simplify(integrate(n*(x**(1/n) - 1), (x, 0, S.Half)) - + (n**2 - 2**(1/n)*n**2 - n*2**(1/n))/(2**(1 + 1/n) + n*2**(1 + 1/n))) == 0 + + +def test_issue_4517(): + assert integrate((sqrt(x) - x**3)/x**Rational(1, 3), x) == \ + 6*x**Rational(7, 6)/7 - 3*x**Rational(11, 3)/11 + + +def test_issue_4527(): + k, m = symbols('k m', integer=True) + assert integrate(sin(k*x)*sin(m*x), (x, 0, pi)).simplify() == \ + Piecewise((0, Eq(k, 0) | Eq(m, 0)), + (-pi/2, Eq(k, -m) | (Eq(k, 0) & Eq(m, 0))), + (pi/2, Eq(k, m) | (Eq(k, 0) & Eq(m, 0))), + (0, True)) + # Should be possible to further simplify to: + # Piecewise( + # (0, Eq(k, 0) | Eq(m, 0)), + # (-pi/2, Eq(k, -m)), + # (pi/2, Eq(k, m)), + # (0, True)) + assert integrate(sin(k*x)*sin(m*x), (x,)) == Piecewise( + (0, And(Eq(k, 0), Eq(m, 0))), + (-x*sin(m*x)**2/2 - x*cos(m*x)**2/2 + sin(m*x)*cos(m*x)/(2*m), Eq(k, -m)), + (x*sin(m*x)**2/2 + x*cos(m*x)**2/2 - sin(m*x)*cos(m*x)/(2*m), Eq(k, m)), + (m*sin(k*x)*cos(m*x)/(k**2 - m**2) - + k*sin(m*x)*cos(k*x)/(k**2 - m**2), True)) + + +def test_issue_4199(): + ypos = Symbol('y', positive=True) + # TODO: Remove conds='none' below, let the assumption take care of it. + assert integrate(exp(-I*2*pi*ypos*x)*x, (x, -oo, oo), conds='none') == \ + Integral(exp(-I*2*pi*ypos*x)*x, (x, -oo, oo)) + + +def test_issue_3940(): + a, b, c, d = symbols('a:d', positive=True) + assert integrate(exp(-x**2 + I*c*x), x) == \ + -sqrt(pi)*exp(-c**2/4)*erf(I*c/2 - x)/2 + assert integrate(exp(a*x**2 + b*x + c), x).equals( + sqrt(pi)*exp(c - b**2/(4*a))*erfi((2*a*x + b)/(2*sqrt(a)))/(2*sqrt(a))) + + from sympy.core.function import expand_mul + from sympy.abc import k + assert expand_mul(integrate(exp(-x**2)*exp(I*k*x), (x, -oo, oo))) == \ + sqrt(pi)*exp(-k**2/4) + a, d = symbols('a d', positive=True) + assert expand_mul(integrate(exp(-a*x**2 + 2*d*x), (x, -oo, oo))) == \ + sqrt(pi)*exp(d**2/a)/sqrt(a) + + +def test_issue_5413(): + # Note that this is not the same as testing ratint() because integrate() + # pulls out the coefficient. + assert integrate(-a/(a**2 + x**2), x) == I*log(-I*a + x)/2 - I*log(I*a + x)/2 + + +def test_issue_4892a(): + A, z = symbols('A z') + c = Symbol('c', nonzero=True) + P1 = -A*exp(-z) + P2 = -A/(c*t)*(sin(x)**2 + cos(y)**2) + + h1 = -sin(x)**2 - cos(y)**2 + h2 = -sin(x)**2 + sin(y)**2 - 1 + + # there is still some non-deterministic behavior in integrate + # or trigsimp which permits one of the following + assert integrate(c*(P2 - P1), t) in [ + c*(-A*(-h1)*log(c*t)/c + A*t*exp(-z)), + c*(-A*(-h2)*log(c*t)/c + A*t*exp(-z)), + c*( A* h1 *log(c*t)/c + A*t*exp(-z)), + c*( A* h2 *log(c*t)/c + A*t*exp(-z)), + (A*c*t - A*(-h1)*log(t)*exp(z))*exp(-z), + (A*c*t - A*(-h2)*log(t)*exp(z))*exp(-z), + ] + + +def test_issue_4892b(): + # Issues relating to issue 4596 are making the actual result of this hard + # to test. The answer should be something like + # + # (-sin(y) + sqrt(-72 + 48*cos(y) - 8*cos(y)**2)/2)*log(x + sqrt(-72 + + # 48*cos(y) - 8*cos(y)**2)/(2*(3 - cos(y)))) + (-sin(y) - sqrt(-72 + + # 48*cos(y) - 8*cos(y)**2)/2)*log(x - sqrt(-72 + 48*cos(y) - + # 8*cos(y)**2)/(2*(3 - cos(y)))) + x**2*sin(y)/2 + 2*x*cos(y) + + expr = (sin(y)*x**3 + 2*cos(y)*x**2 + 12)/(x**2 + 2) + assert trigsimp(factor(integrate(expr, x).diff(x) - expr)) == 0 + + +def test_issue_5178(): + assert integrate(sin(x)*f(y, z), (x, 0, pi), (y, 0, pi), (z, 0, pi)) == \ + 2*Integral(f(y, z), (y, 0, pi), (z, 0, pi)) + + +def test_integrate_series(): + f = sin(x).series(x, 0, 10) + g = x**2/2 - x**4/24 + x**6/720 - x**8/40320 + x**10/3628800 + O(x**11) + + assert integrate(f, x) == g + assert diff(integrate(f, x), x) == f + + assert integrate(O(x**5), x) == O(x**6) + + +def test_atom_bug(): + from sympy.integrals.heurisch import heurisch + assert heurisch(meijerg([], [], [1], [], x), x) is None + + +def test_limit_bug(): + z = Symbol('z', zero=False) + assert integrate(sin(x*y*z), (x, 0, pi), (y, 0, pi)).together() == \ + (log(z) - Ci(pi**2*z) + EulerGamma + 2*log(pi))/z + + +def test_issue_4703(): + g = Function('g') + assert integrate(exp(x)*g(x), x).has(Integral) + + +def test_issue_1888(): + f = Function('f') + assert integrate(f(x).diff(x)**2, x).has(Integral) + +# The following tests work using meijerint. + + +def test_issue_3558(): + assert integrate(cos(x*y), (x, -pi/2, pi/2), (y, 0, pi)) == 2*Si(pi**2/2) + + +def test_issue_4422(): + assert integrate(1/sqrt(16 + 4*x**2), x) == asinh(x/2) / 2 + + +def test_issue_4493(): + assert simplify(integrate(x*sqrt(1 + 2*x), x)) == \ + sqrt(2*x + 1)*(6*x**2 + x - 1)/15 + + +def test_issue_4737(): + assert integrate(sin(x)/x, (x, -oo, oo)) == pi + assert integrate(sin(x)/x, (x, 0, oo)) == pi/2 + assert integrate(sin(x)/x, x) == Si(x) + + +def test_issue_4992(): + # Note: psi in _check_antecedents becomes NaN. + from sympy.core.function import expand_func + a = Symbol('a', positive=True) + assert simplify(expand_func(integrate(exp(-x)*log(x)*x**a, (x, 0, oo)))) == \ + (a*polygamma(0, a) + 1)*gamma(a) + + +def test_issue_4487(): + from sympy.functions.special.gamma_functions import lowergamma + assert simplify(integrate(exp(-x)*x**y, x)) == lowergamma(y + 1, x) + + +def test_issue_4215(): + x = Symbol("x") + assert integrate(1/(x**2), (x, -1, 1)) is oo + + +def test_issue_4400(): + n = Symbol('n', integer=True, positive=True) + assert integrate((x**n)*log(x), x) == \ + n*x*x**n*log(x)/(n**2 + 2*n + 1) + x*x**n*log(x)/(n**2 + 2*n + 1) - \ + x*x**n/(n**2 + 2*n + 1) + + +def test_issue_6253(): + # Note: this used to raise NotImplementedError + # Note: psi in _check_antecedents becomes NaN. + assert integrate((sqrt(1 - x) + sqrt(1 + x))**2/x, x, meijerg=True) == \ + Integral((sqrt(-x + 1) + sqrt(x + 1))**2/x, x) + + +def test_issue_4153(): + assert integrate(1/(1 + x + y + z), (x, 0, 1), (y, 0, 1), (z, 0, 1)) in [ + -12*log(3) - 3*log(6)/2 + 3*log(8)/2 + 5*log(2) + 7*log(4), + 6*log(2) + 8*log(4) - 27*log(3)/2, 22*log(2) - 27*log(3)/2, + -12*log(3) - 3*log(6)/2 + 47*log(2)/2] + + +def test_issue_4326(): + R, b, h = symbols('R b h') + # It doesn't matter if we can do the integral. Just make sure the result + # doesn't contain nan. This is really a test against _eval_interval. + e = integrate(((h*(x - R + b))/b)*sqrt(R**2 - x**2), (x, R - b, R)) + assert not e.has(nan) + # See that it evaluates + assert not e.has(Integral) + + +def test_powers(): + assert integrate(2**x + 3**x, x) == 2**x/log(2) + 3**x/log(3) + + +def test_manual_option(): + raises(ValueError, lambda: integrate(1/x, x, manual=True, meijerg=True)) + # an example of a function that manual integration cannot handle + assert integrate(log(1+x)/x, (x, 0, 1), manual=True).has(Integral) + + +def test_meijerg_option(): + raises(ValueError, lambda: integrate(1/x, x, meijerg=True, risch=True)) + # an example of a function that meijerg integration cannot handle + assert integrate(tan(x), x, meijerg=True) == Integral(tan(x), x) + + +def test_risch_option(): + # risch=True only allowed on indefinite integrals + raises(ValueError, lambda: integrate(1/log(x), (x, 0, oo), risch=True)) + assert integrate(exp(-x**2), x, risch=True) == NonElementaryIntegral(exp(-x**2), x) + assert integrate(log(1/x)*y, x, y, risch=True) == y**2*(x*log(1/x)/2 + x/2) + assert integrate(erf(x), x, risch=True) == Integral(erf(x), x) + # TODO: How to test risch=False? + + +@slow +def test_heurisch_option(): + raises(ValueError, lambda: integrate(1/x, x, risch=True, heurisch=True)) + # an integral that heurisch can handle + assert integrate(exp(x**2), x, heurisch=True) == sqrt(pi)*erfi(x)/2 + # an integral that heurisch currently cannot handle + assert integrate(exp(x)/x, x, heurisch=True) == Integral(exp(x)/x, x) + # an integral where heurisch currently hangs, issue 15471 + assert integrate(log(x)*cos(log(x))/x**Rational(3, 4), x, heurisch=False) == ( + -128*x**Rational(1, 4)*sin(log(x))/289 + 240*x**Rational(1, 4)*cos(log(x))/289 + + (16*x**Rational(1, 4)*sin(log(x))/17 + 4*x**Rational(1, 4)*cos(log(x))/17)*log(x)) + + +def test_issue_6828(): + f = 1/(1.08*x**2 - 4.3) + g = integrate(f, x).diff(x) + assert verify_numerically(f, g, tol=1e-12) + + +def test_issue_4803(): + x_max = Symbol("x_max") + assert integrate(y/pi*exp(-(x_max - x)/cos(a)), x) == \ + y*exp((x - x_max)/cos(a))*cos(a)/pi + + +def test_issue_4234(): + assert integrate(1/sqrt(1 + tan(x)**2)) == tan(x)/sqrt(1 + tan(x)**2) + + +def test_issue_4492(): + assert simplify(integrate(x**2 * sqrt(5 - x**2), x)).factor( + deep=True) == Piecewise( + (I*(2*x**5 - 15*x**3 + 25*x - 25*sqrt(x**2 - 5)*acosh(sqrt(5)*x/5)) / + (8*sqrt(x**2 - 5)), (x > sqrt(5)) | (x < -sqrt(5))), + ((2*x**5 - 15*x**3 + 25*x - 25*sqrt(5 - x**2)*asin(sqrt(5)*x/5)) / + (-8*sqrt(-x**2 + 5)), True)) + + +def test_issue_2708(): + # This test needs to use an integration function that can + # not be evaluated in closed form. Update as needed. + f = 1/(a + z + log(z)) + integral_f = NonElementaryIntegral(f, (z, 2, 3)) + assert Integral(f, (z, 2, 3)).doit() == integral_f + assert integrate(f + exp(z), (z, 2, 3)) == integral_f - exp(2) + exp(3) + assert integrate(2*f + exp(z), (z, 2, 3)) == \ + 2*integral_f - exp(2) + exp(3) + assert integrate(exp(1.2*n*s*z*(-t + z)/t), (z, 0, x)) == \ + NonElementaryIntegral(exp(-1.2*n*s*z)*exp(1.2*n*s*z**2/t), + (z, 0, x)) + + +def test_issue_2884(): + f = (4.000002016020*x + 4.000002016020*y + 4.000006024032)*exp(10.0*x) + e = integrate(f, (x, 0.1, 0.2)) + assert str(e) == '1.86831064982608*y + 2.16387491480008' + + +def test_issue_8368i(): + from sympy.functions.elementary.complexes import arg, Abs + assert integrate(exp(-s*x)*cosh(x), (x, 0, oo)) == \ + Piecewise( + ( pi*Piecewise( + ( -s/(pi*(-s**2 + 1)), + Abs(s**2) < 1), + ( 1/(pi*s*(1 - 1/s**2)), + Abs(s**(-2)) < 1), + ( meijerg( + ((S.Half,), (0, 0)), + ((0, S.Half), (0,)), + polar_lift(s)**2), + True) + ), + s**2 > 1 + ), + ( + Integral(exp(-s*x)*cosh(x), (x, 0, oo)), + True)) + assert integrate(exp(-s*x)*sinh(x), (x, 0, oo)) == \ + Piecewise( + ( -1/(s + 1)/2 - 1/(-s + 1)/2, + And( + Abs(s) > 1, + Abs(arg(s)) < pi/2, + Abs(arg(s)) <= pi/2 + )), + ( Integral(exp(-s*x)*sinh(x), (x, 0, oo)), + True)) + + +def test_issue_8901(): + assert integrate(sinh(1.0*x)) == 1.0*cosh(1.0*x) + assert integrate(tanh(1.0*x)) == 1.0*x - 1.0*log(tanh(1.0*x) + 1) + assert integrate(tanh(x)) == x - log(tanh(x) + 1) + + +@slow +def test_issue_8945(): + assert integrate(sin(x)**3/x, (x, 0, 1)) == -Si(3)/4 + 3*Si(1)/4 + assert integrate(sin(x)**3/x, (x, 0, oo)) == pi/4 + assert integrate(cos(x)**2/x**2, x) == -Si(2*x) - cos(2*x)/(2*x) - 1/(2*x) + + +@slow +def test_issue_7130(): + i, L, a, b = symbols('i L a b') + integrand = (cos(pi*i*x/L)**2 / (a + b*x)).rewrite(exp) + assert x not in integrate(integrand, (x, 0, L)).free_symbols + + +def test_issue_10567(): + a, b, c, t = symbols('a b c t') + vt = Matrix([a*t, b, c]) + assert integrate(vt, t) == Integral(vt, t).doit() + assert integrate(vt, t) == Matrix([[a*t**2/2], [b*t], [c*t]]) + + +def test_issue_11742(): + assert integrate(sqrt(-x**2 + 8*x + 48), (x, 4, 12)) == 16*pi + + +def test_issue_11856(): + t = symbols('t') + assert integrate(sinc(pi*t), t) == Si(pi*t)/pi + + +@slow +def test_issue_11876(): + assert integrate(sqrt(log(1/x)), (x, 0, 1)) == sqrt(pi)/2 + + +def test_issue_4950(): + assert integrate((-60*exp(x) - 19.2*exp(4*x))*exp(4*x), x) ==\ + -2.4*exp(8*x) - 12.0*exp(5*x) + + +def test_issue_4968(): + assert integrate(sin(log(x**2))) == x*sin(log(x**2))/5 - 2*x*cos(log(x**2))/5 + + +def test_singularities(): + assert integrate(1/x**2, (x, -oo, oo)) is oo + assert integrate(1/x**2, (x, -1, 1)) is oo + assert integrate(1/(x - 1)**2, (x, -2, 2)) is oo + + assert integrate(1/x**2, (x, 1, -1)) is -oo + assert integrate(1/(x - 1)**2, (x, 2, -2)) is -oo + + +def test_issue_12645(): + x, y = symbols('x y', real=True) + assert (integrate(sin(x*x*x + y*y), + (x, -sqrt(pi - y*y), sqrt(pi - y*y)), + (y, -sqrt(pi), sqrt(pi))) + == Integral(sin(x**3 + y**2), + (x, -sqrt(-y**2 + pi), sqrt(-y**2 + pi)), + (y, -sqrt(pi), sqrt(pi)))) + + +def test_issue_12677(): + assert integrate(sin(x) / (cos(x)**3), (x, 0, pi/6)) == Rational(1, 6) + + +def test_issue_14078(): + assert integrate((cos(3*x)-cos(x))/x, (x, 0, oo)) == -log(3) + + +def test_issue_14064(): + assert integrate(1/cosh(x), (x, 0, oo)) == pi/2 + + +def test_issue_14027(): + assert integrate(1/(1 + exp(x - S.Half)/(1 + exp(x))), x) == \ + x - exp(S.Half)*log(exp(x) + exp(S.Half)/(1 + exp(S.Half)))/(exp(S.Half) + E) + + +def test_issue_8170(): + assert integrate(tan(x), (x, 0, pi/2)) is S.Infinity + + +def test_issue_8440_14040(): + assert integrate(1/x, (x, -1, 1)) is S.NaN + assert integrate(1/(x + 1), (x, -2, 3)) is S.NaN + + +def test_issue_14096(): + assert integrate(1/(x + y)**2, (x, 0, 1)) == -1/(y + 1) + 1/y + assert integrate(1/(1 + x + y + z)**2, (x, 0, 1), (y, 0, 1), (z, 0, 1)) == \ + -4*log(4) - 6*log(2) + 9*log(3) + + +def test_issue_14144(): + assert Abs(integrate(1/sqrt(1 - x**3), (x, 0, 1)).n() - 1.402182) < 1e-6 + assert Abs(integrate(sqrt(1 - x**3), (x, 0, 1)).n() - 0.841309) < 1e-6 + + +def test_issue_14375(): + # This raised a TypeError. The antiderivative has exp_polar, which + # may be possible to unpolarify, so the exact output is not asserted here. + assert integrate(exp(I*x)*log(x), x).has(Ei) + + +def test_issue_14437(): + f = Function('f')(x, y, z) + assert integrate(f, (x, 0, 1), (y, 0, 2), (z, 0, 3)) == \ + Integral(f, (x, 0, 1), (y, 0, 2), (z, 0, 3)) + + +def test_issue_14470(): + assert integrate(1/sqrt(exp(x) + 1), x) == log(sqrt(exp(x) + 1) - 1) - log(sqrt(exp(x) + 1) + 1) + + +def test_issue_14877(): + f = exp(1 - exp(x**2)*x + 2*x**2)*(2*x**3 + x)/(1 - exp(x**2)*x)**2 + assert integrate(f, x) == \ + -exp(2*x**2 - x*exp(x**2) + 1)/(x*exp(3*x**2) - exp(2*x**2)) + + +def test_issue_14782(): + f = sqrt(-x**2 + 1)*(-x**2 + x) + assert integrate(f, [x, -1, 1]) == - pi / 8 + + +@slow +def test_issue_14782_slow(): + f = sqrt(-x**2 + 1)*(-x**2 + x) + assert integrate(f, [x, 0, 1]) == S.One / 3 - pi / 16 + + +def test_issue_12081(): + f = x**(Rational(-3, 2))*exp(-x) + assert integrate(f, [x, 0, oo]) is oo + + +def test_issue_15285(): + y = 1/x - 1 + f = 4*y*exp(-2*y)/x**2 + assert integrate(f, [x, 0, 1]) == 1 + + +def test_issue_15432(): + assert integrate(x**n * exp(-x) * log(x), (x, 0, oo)).gammasimp() == Piecewise( + (gamma(n + 1)*polygamma(0, n) + gamma(n + 1)/n, re(n) + 1 > 0), + (Integral(x**n*exp(-x)*log(x), (x, 0, oo)), True)) + + +def test_issue_15124(): + omega = IndexedBase('omega') + m, p = symbols('m p', cls=Idx) + assert integrate(exp(x*I*(omega[m] + omega[p])), x, conds='none') == \ + -I*exp(I*x*omega[m])*exp(I*x*omega[p])/(omega[m] + omega[p]) + + +def test_issue_15218(): + with warns_deprecated_sympy(): + Integral(Eq(x, y)) + with warns_deprecated_sympy(): + assert Integral(Eq(x, y), x) == Eq(Integral(x, x), Integral(y, x)) + with warns_deprecated_sympy(): + assert Integral(Eq(x, y), x).doit() == Eq(x**2/2, x*y) + with warns(SymPyDeprecationWarning, test_stacklevel=False): + # The warning is made in the ExprWithLimits superclass. The stacklevel + # is correct for integrate(Eq) but not Eq.integrate + assert Eq(x, y).integrate(x) == Eq(x**2/2, x*y) + + # These are not deprecated because they are definite integrals + assert integrate(Eq(x, y), (x, 0, 1)) == Eq(S.Half, y) + assert Eq(x, y).integrate((x, 0, 1)) == Eq(S.Half, y) + + +def test_issue_15292(): + res = integrate(exp(-x**2*cos(2*t)) * cos(x**2*sin(2*t)), (x, 0, oo)) + assert isinstance(res, Piecewise) + assert gammasimp((res - sqrt(pi)/2 * cos(t)).subs(t, pi/6)) == 0 + + +def test_issue_4514(): + assert integrate(sin(2*x)/sin(x), x) == 2*sin(x) + + +def test_issue_15457(): + x, a, b = symbols('x a b', real=True) + definite = integrate(exp(Abs(x-2)), (x, a, b)) + indefinite = integrate(exp(Abs(x-2)), x) + assert definite.subs({a: 1, b: 3}) == -2 + 2*E + assert indefinite.subs(x, 3) - indefinite.subs(x, 1) == -2 + 2*E + assert definite.subs({a: -3, b: -1}) == -exp(3) + exp(5) + assert indefinite.subs(x, -1) - indefinite.subs(x, -3) == -exp(3) + exp(5) + + +def test_issue_15431(): + assert integrate(x*exp(x)*log(x), x) == \ + (x*exp(x) - exp(x))*log(x) - exp(x) + Ei(x) + + +def test_issue_15640_log_substitutions(): + f = x/log(x) + F = Ei(2*log(x)) + assert integrate(f, x) == F and F.diff(x) == f + f = x**3/log(x)**2 + F = -x**4/log(x) + 4*Ei(4*log(x)) + assert integrate(f, x) == F and F.diff(x) == f + f = sqrt(log(x))/x**2 + F = -sqrt(pi)*erfc(sqrt(log(x)))/2 - sqrt(log(x))/x + assert integrate(f, x) == F and F.diff(x) == f + + +def test_issue_15509(): + from sympy.vector import CoordSys3D + N = CoordSys3D('N') + x = N.x + assert integrate(cos(a*x + b), (x, x_1, x_2), heurisch=True) == Piecewise( + (-sin(a*x_1 + b)/a + sin(a*x_2 + b)/a, (a > -oo) & (a < oo) & Ne(a, 0)), \ + (-x_1*cos(b) + x_2*cos(b), True)) + + +def test_issue_4311_fast(): + x = symbols('x', real=True) + assert integrate(x*abs(9-x**2), x) == Piecewise( + (x**4/4 - 9*x**2/2, x <= -3), + (-x**4/4 + 9*x**2/2 - Rational(81, 2), x <= 3), + (x**4/4 - 9*x**2/2, True)) + + +def test_integrate_with_complex_constants(): + K = Symbol('K', positive=True) + x = Symbol('x', real=True) + m = Symbol('m', real=True) + t = Symbol('t', real=True) + assert integrate(exp(-I*K*x**2+m*x), x) == sqrt(pi)*exp(-I*m**2 + /(4*K))*erfi((-2*I*K*x + m)/(2*sqrt(K)*sqrt(-I)))/(2*sqrt(K)*sqrt(-I)) + assert integrate(1/(1 + I*x**2), x) == (-I*(sqrt(-I)*log(x - I*sqrt(-I))/2 + - sqrt(-I)*log(x + I*sqrt(-I))/2)) + assert integrate(exp(-I*x**2), x) == sqrt(pi)*erf(sqrt(I)*x)/(2*sqrt(I)) + + assert integrate((1/(exp(I*t)-2)), t) == -t/2 - I*log(exp(I*t) - 2)/2 + assert integrate((1/(exp(I*t)-2)), (t, 0, 2*pi)) == -pi + + +def test_issue_14241(): + x = Symbol('x') + n = Symbol('n', positive=True, integer=True) + assert integrate(n * x ** (n - 1) / (x + 1), x) == \ + n**2*x**n*lerchphi(x*exp_polar(I*pi), 1, n)*gamma(n)/gamma(n + 1) + + +def test_issue_13112(): + assert integrate(sin(t)**2 / (5 - 4*cos(t)), [t, 0, 2*pi]) == pi / 4 + + +def test_issue_14709b(): + h = Symbol('h', positive=True) + i = integrate(x*acos(1 - 2*x/h), (x, 0, h)) + assert i == 5*h**2*pi/16 + + +def test_issue_8614(): + x = Symbol('x') + t = Symbol('t') + assert integrate(exp(t)/t, (t, -oo, x)) == Ei(x) + assert integrate((exp(-x) - exp(-2*x))/x, (x, 0, oo)) == log(2) + + +@slow +def test_issue_15494(): + s = symbols('s', positive=True) + + integrand = (exp(s/2) - 2*exp(1.6*s) + exp(s))*exp(s) + solution = integrate(integrand, s) + assert solution != S.NaN + # Not sure how to test this properly as it is a symbolic expression with floats + # assert str(solution) == '0.666666666666667*exp(1.5*s) + 0.5*exp(2.0*s) - 0.769230769230769*exp(2.6*s)' + # Maybe + assert abs(solution.subs(s, 1) - (-3.67440080236188)) <= 1e-8 + + integrand = (exp(s/2) - 2*exp(S(8)/5*s) + exp(s))*exp(s) + assert integrate(integrand, s) == -10*exp(13*s/5)/13 + 2*exp(3*s/2)/3 + exp(2*s)/2 + + +def test_li_integral(): + y = Symbol('y') + assert Integral(li(y*x**2), x).doit() == Piecewise((x*li(x**2*y) - \ + x*Ei(3*log(x**2*y)/2)/sqrt(x**2*y), + Ne(y, 0)), (0, True)) + + +def test_issue_17473(): + x = Symbol('x') + n = Symbol('n') + h = S.Half + ans = x**(n + 1)*gamma(h + h/n)*hyper((h + h/n,), + (3*h, 3*h + h/n), -x**(2*n)/4)/(2*n*gamma(3*h + h/n)) + got = integrate(sin(x**n), x) + assert got == ans + _x = Symbol('x', zero=False) + reps = {x: _x} + assert integrate(sin(_x**n), _x) == ans.xreplace(reps).expand() + + +def test_issue_17671(): + assert integrate(log(log(x)) / x**2, [x, 1, oo]) == -EulerGamma + assert integrate(log(log(x)) / x**3, [x, 1, oo]) == -log(2)/2 - EulerGamma/2 + assert integrate(log(log(x)) / x**10, [x, 1, oo]) == -log(9)/9 - EulerGamma/9 + + +def test_issue_2975(): + w = Symbol('w') + C = Symbol('C') + y = Symbol('y') + assert integrate(1/(y**2+C)**(S(3)/2), (y, -w/2, w/2)) == w/(C**(S(3)/2)*sqrt(1 + w**2/(4*C))) + + +def test_issue_7827(): + x, n, M = symbols('x n M') + N = Symbol('N', integer=True) + assert integrate(summation(x*n, (n, 1, N)), x) == x**2*(N**2/4 + N/4) + assert integrate(summation(x*sin(n), (n,1,N)), x) == \ + Sum(x**2*sin(n)/2, (n, 1, N)) + assert integrate(summation(sin(n*x), (n,1,N)), x) == \ + Sum(Piecewise((-cos(n*x)/n, Ne(n, 0)), (0, True)), (n, 1, N)) + assert integrate(integrate(summation(sin(n*x), (n,1,N)), x), x) == \ + Piecewise((Sum(Piecewise((-sin(n*x)/n**2, Ne(n, 0)), (-x/n, True)), + (n, 1, N)), (n > -oo) & (n < oo) & Ne(n, 0)), (0, True)) + assert integrate(Sum(x, (n, 1, M)), x) == M*x**2/2 + raises(ValueError, lambda: integrate(Sum(x, (x, y, n)), y)) + raises(ValueError, lambda: integrate(Sum(x, (x, 1, n)), n)) + raises(ValueError, lambda: integrate(Sum(x, (x, 1, y)), x)) + + +def test_issue_4231(): + f = (1 + 2*x + sqrt(x + log(x))*(1 + 3*x) + x**2)/(x*(x + sqrt(x + log(x)))*sqrt(x + log(x))) + assert integrate(f, x) == 2*sqrt(x + log(x)) + 2*log(x + sqrt(x + log(x))) + + +def test_issue_17841(): + f = diff(1/(x**2+x+I), x) + assert integrate(f, x) == 1/(x**2 + x + I) + + +def test_issue_21034(): + x = Symbol('x', real=True, nonzero=True) + f1 = x*(-x**4/asin(5)**4 - x*sinh(x + log(asin(5))) + 5) + f2 = (x + cosh(cos(4)))/(x*(x + 1/(12*x))) + + assert integrate(f1, x) == \ + -x**6/(6*asin(5)**4) - x**2*cosh(x + log(asin(5))) + 5*x**2/2 + 2*x*sinh(x + log(asin(5))) - 2*cosh(x + log(asin(5))) + + assert integrate(f2, x) == \ + log(x**2 + S(1)/12)/2 + 2*sqrt(3)*cosh(cos(4))*atan(2*sqrt(3)*x) + + +def test_issue_4187(): + assert integrate(log(x)*exp(-x), x) == Ei(-x) - exp(-x)*log(x) + assert integrate(log(x)*exp(-x), (x, 0, oo)) == -EulerGamma + + +def test_issue_5547(): + L = Symbol('L') + z = Symbol('z') + r0 = Symbol('r0') + R0 = Symbol('R0') + + assert integrate(r0**2*cos(z)**2, (z, -L/2, L/2)) == -r0**2*(-L/4 - + sin(L/2)*cos(L/2)/2) + r0**2*(L/4 + sin(L/2)*cos(L/2)/2) + + assert integrate(r0**2*cos(R0*z)**2, (z, -L/2, L/2)) == Piecewise( + (-r0**2*(-L*R0/4 - sin(L*R0/2)*cos(L*R0/2)/2)/R0 + + r0**2*(L*R0/4 + sin(L*R0/2)*cos(L*R0/2)/2)/R0, (R0 > -oo) & (R0 < oo) & Ne(R0, 0)), + (L*r0**2, True)) + + w = 2*pi*z/L + + sol = sqrt(2)*sqrt(L)*r0**2*fresnelc(sqrt(2)*sqrt(L))*gamma(S.One/4)/(16*gamma(S(5)/4)) + L*r0**2/2 + + assert integrate(r0**2*cos(w*z)**2, (z, -L/2, L/2)) == sol + + +def test_issue_15810(): + assert integrate(1/(2**(2*x/3) + 1), (x, 0, oo)) == Rational(3, 2) + + +def test_issue_21024(): + x = Symbol('x', real=True, nonzero=True) + f = log(x)*log(4*x) + log(3*x + exp(2)) + F = x*log(x)**2 + x*log(3*x + exp(2)) + x*(1 - 2*log(2)) + \ + (-2*x + 2*x*log(2))*log(x) + exp(2)*log(3*x + exp(2))/3 + assert F == integrate(f, x) + + f = (x + exp(3))/x**2 + F = log(x) - exp(3)/x + assert F == integrate(f, x) + + f = (x**2 + exp(5))/x + F = x**2/2 + exp(5)*log(x) + assert F == integrate(f, x) + + f = x/(2*x + tanh(1)) + F = x/2 - log(2*x + tanh(1))*tanh(1)/4 + assert F == integrate(f, x) + + f = x - sinh(4)/x + F = x**2/2 - log(x)*sinh(4) + assert F == integrate(f, x) + + f = log(x + exp(5)/x) + F = x*log(x + exp(5)/x) - x + 2*exp(Rational(5, 2))*atan(x*exp(Rational(-5, 2))) + assert F == integrate(f, x) + + f = x**5/(x + E) + F = x**5/5 - E*x**4/4 + x**3*exp(2)/3 - x**2*exp(3)/2 + x*exp(4) - exp(5)*log(x + E) + assert F == integrate(f, x) + + f = 4*x/(x + sinh(5)) + F = 4*x - 4*log(x + sinh(5))*sinh(5) + assert F == integrate(f, x) + + f = x**2/(2*x + sinh(2)) + F = x**2/4 - x*sinh(2)/4 + log(2*x + sinh(2))*sinh(2)**2/8 + assert F == integrate(f, x) + + f = -x**2/(x + E) + F = -x**2/2 + E*x - exp(2)*log(x + E) + assert F == integrate(f, x) + + f = (2*x + 3)*exp(5)/x + F = 2*x*exp(5) + 3*exp(5)*log(x) + assert F == integrate(f, x) + + f = x + 2 + cosh(3)/x + F = x**2/2 + 2*x + log(x)*cosh(3) + assert F == integrate(f, x) + + f = x - tanh(1)/x**3 + F = x**2/2 + tanh(1)/(2*x**2) + assert F == integrate(f, x) + + f = (3*x - exp(6))/x + F = 3*x - exp(6)*log(x) + assert F == integrate(f, x) + + f = x**4/(x + exp(5))**2 + x + F = x**3/3 + x**2*(Rational(1, 2) - exp(5)) + 3*x*exp(10) - 4*exp(15)*log(x + exp(5)) - exp(20)/(x + exp(5)) + assert F == integrate(f, x) + + f = x*(x + exp(10)/x**2) + x + F = x**3/3 + x**2/2 + exp(10)*log(x) + assert F == integrate(f, x) + + f = x + x/(5*x + sinh(3)) + F = x**2/2 + x/5 - log(5*x + sinh(3))*sinh(3)/25 + assert F == integrate(f, x) + + f = (x + exp(3))/(2*x**2 + 2*x) + F = exp(3)*log(x)/2 - exp(3)*log(x + 1)/2 + log(x + 1)/2 + assert F == integrate(f, x).expand() + + f = log(x + 4*sinh(4)) + F = x*log(x + 4*sinh(4)) - x + 4*log(x + 4*sinh(4))*sinh(4) + assert F == integrate(f, x) + + f = -x + 20*(exp(-5) - atan(4)/x)**3*sin(4)/x + F = (-x**2*exp(15)/2 + 20*log(x)*sin(4) - (-180*x**2*exp(5)*sin(4)*atan(4) + 90*x*exp(10)*sin(4)*atan(4)**2 - \ + 20*exp(15)*sin(4)*atan(4)**3)/(3*x**3))*exp(-15) + assert F == integrate(f, x) + + f = 2*x**2*exp(-4) + 6/x + F_true = (2*x**3/3 + 6*exp(4)*log(x))*exp(-4) + assert F_true == integrate(f, x) + + +def test_issue_21721(): + a = Symbol('a') + assert integrate(1/(pi*(1+(x-a)**2)),(x,-oo,oo)).expand() == \ + -Heaviside(im(a) - 1, 0) + Heaviside(im(a) + 1, 0) + + +def test_issue_21831(): + theta = symbols('theta') + assert integrate(cos(3*theta)/(5-4*cos(theta)), (theta, 0, 2*pi)) == pi/12 + integrand = cos(2*theta)/(5 - 4*cos(theta)) + assert integrate(integrand, (theta, 0, 2*pi)) == pi/6 + + +@slow +def test_issue_22033_integral(): + assert integrate((x**2 - Rational(1, 4))**2 * sqrt(1 - x**2), (x, -1, 1)) == pi/32 + + +@slow +def test_issue_21671(): + assert integrate(1,(z,x**2+y**2,2-x**2-y**2),(y,-sqrt(1-x**2),sqrt(1-x**2)),(x,-1,1)) == pi + assert integrate(-4*(1 - x**2)**(S(3)/2)/3 + 2*sqrt(1 - x**2)*(2 - 2*x**2), (x, -1, 1)) == pi + + +def test_issue_18527(): + # The manual integrator can not currently solve this. Assert that it does + # not give an incorrect result involving Abs when x has real assumptions. + xr = symbols('xr', real=True) + expr = (cos(x)/(4+(sin(x))**2)) + res_real = integrate(expr.subs(x, xr), xr, manual=True).subs(xr, x) + assert integrate(expr, x, manual=True) == res_real == Integral(expr, x) + + +def test_issue_23718(): + f = 1/(b*cos(x) + a*sin(x)) + Fpos = (-log(-a/b + tan(x/2) - sqrt(a**2 + b**2)/b)/sqrt(a**2 + b**2) + +log(-a/b + tan(x/2) + sqrt(a**2 + b**2)/b)/sqrt(a**2 + b**2)) + F = Piecewise( + # XXX: The zoo case here is for a=b=0 so it should just be zoo or maybe + # it doesn't really need to be included at all given that the original + # integrand is really undefined in that case anyway. + (zoo*(-log(tan(x/2) - 1) + log(tan(x/2) + 1)), Eq(a, 0) & Eq(b, 0)), + (log(tan(x/2))/a, Eq(b, 0)), + (-I/(-I*b*sin(x) + b*cos(x)), Eq(a, -I*b)), + (I/(I*b*sin(x) + b*cos(x)), Eq(a, I*b)), + (Fpos, True), + ) + assert integrate(f, x) == F + + ap, bp = symbols('a, b', positive=True) + rep = {a: ap, b: bp} + assert integrate(f.subs(rep), x) == Fpos.subs(rep) + + +def test_issue_23566(): + i = integrate(1/sqrt(x**2-1), (x, -2, -1)) + assert i == -log(2 - sqrt(3)) + assert math.isclose(i.n(), 1.31695789692482) + + +def test_pr_23583(): + # This result from meijerg is wrong. Check whether new result is correct when this test fail. + assert integrate(1/sqrt((x - I)**2-1)) == Piecewise((acosh(x - I), Abs((x - I)**2) > 1), (-I*asin(x - I), True)) + + +def test_issue_7264(): + assert integrate(exp(x)*sqrt(1 + exp(2*x))) == sqrt(exp(2*x) + 1)*exp(x)/2 + asinh(exp(x))/2 + + +def test_issue_11254a(): + assert integrate(sech(x), (x, 0, 1)) == 2*atan(tanh(S.Half)) + + +def test_issue_11254b(): + assert integrate(csch(x), x) == log(tanh(x/2)) + assert integrate(csch(x), (x, 0, 1)) == oo + + +def test_issue_11254d(): + # (sech(x)**2).rewrite(sinh) + assert integrate(-1/sinh(x + I*pi/2, evaluate=False)**2, x) == -2/(exp(2*x) + 1) + assert integrate(cosh(x)**(-2), x) == 2*tanh(x/2)/(tanh(x/2)**2 + 1) + + +def test_issue_22863(): + i = integrate((3*x**3-x**2+2*x-4)/sqrt(x**2-3*x+2), (x, 0, 1)) + assert i == -101*sqrt(2)/8 - 135*log(3 - 2*sqrt(2))/16 + assert math.isclose(i.n(), -2.98126694400554) + + +def test_issue_9723(): + assert integrate(sqrt(x + sqrt(x))) == \ + 2*sqrt(sqrt(x) + x)*(sqrt(x)/12 + x/3 - S(1)/8) + log(2*sqrt(x) + 2*sqrt(sqrt(x) + x) + 1)/8 + assert integrate(sqrt(2*x+3+sqrt(4*x+5))**3) == \ + sqrt(2*x + sqrt(4*x + 5) + 3) * \ + (9*x/10 + 11*(4*x + 5)**(S(3)/2)/40 + sqrt(4*x + 5)/40 + (4*x + 5)**2/10 + S(11)/10)/2 + + +def test_issue_23704(): + # XXX: This is testing that an exception is not raised in risch Ideally + # manualintegrate (manual=True) would be able to compute this but + # manualintegrate is very slow for this example so we don't test that here. + assert (integrate(log(x)/x**2/(c*x**2+b*x+a),x, risch=True) + == NonElementaryIntegral(log(x)/(a*x**2 + b*x**3 + c*x**4), x)) + + +def test_exp_substitution(): + assert integrate(1/sqrt(1-exp(2*x))) == log(sqrt(1 - exp(2*x)) - 1)/2 - log(sqrt(1 - exp(2*x)) + 1)/2 + + +def test_hyperbolic(): + assert integrate(coth(x)) == x - log(tanh(x) + 1) + log(tanh(x)) + assert integrate(sech(x)) == 2*atan(tanh(x/2)) + assert integrate(csch(x)) == log(tanh(x/2)) + + +def test_nested_pow(): + assert integrate(sqrt(x**2)) == x*sqrt(x**2)/2 + assert integrate(sqrt(x**(S(5)/3))) == 6*x*sqrt(x**(S(5)/3))/11 + assert integrate(1/sqrt(x**2)) == x*log(x)/sqrt(x**2) + assert integrate(x*sqrt(x**(-4))) == x**2*sqrt(x**-4)*log(x) + + +def test_sqrt_quadratic(): + assert integrate(1/sqrt(3*x**2+4*x+5)) == sqrt(3)*asinh(3*sqrt(11)*(x + S(2)/3)/11)/3 + assert integrate(1/sqrt(-3*x**2+4*x+5)) == sqrt(3)*asin(3*sqrt(19)*(x - S(2)/3)/19)/3 + assert integrate(1/sqrt(3*x**2+4*x-5)) == sqrt(3)*log(6*x + 2*sqrt(3)*sqrt(3*x**2 + 4*x - 5) + 4)/3 + assert integrate(1/sqrt(4*x**2-4*x+1)) == (x - S.Half)*log(x - S.Half)/(2*sqrt((x - S.Half)**2)) + assert integrate(1/sqrt(a+b*x+c*x**2), x) == \ + Piecewise((log(b + 2*sqrt(c)*sqrt(a + b*x + c*x**2) + 2*c*x)/sqrt(c), Ne(c, 0) & Ne(a - b**2/(4*c), 0)), + ((b/(2*c) + x)*log(b/(2*c) + x)/sqrt(c*(b/(2*c) + x)**2), Ne(c, 0)), + (2*sqrt(a + b*x)/b, Ne(b, 0)), (x/sqrt(a), True)) + + assert integrate((7*x+6)/sqrt(3*x**2+4*x+5)) == \ + 7*sqrt(3*x**2 + 4*x + 5)/3 + 4*sqrt(3)*asinh(3*sqrt(11)*(x + S(2)/3)/11)/9 + assert integrate((7*x+6)/sqrt(-3*x**2+4*x+5)) == \ + -7*sqrt(-3*x**2 + 4*x + 5)/3 + 32*sqrt(3)*asin(3*sqrt(19)*(x - S(2)/3)/19)/9 + assert integrate((7*x+6)/sqrt(3*x**2+4*x-5)) == \ + 7*sqrt(3*x**2 + 4*x - 5)/3 + 4*sqrt(3)*log(6*x + 2*sqrt(3)*sqrt(3*x**2 + 4*x - 5) + 4)/9 + assert integrate((d+e*x)/sqrt(a+b*x+c*x**2), x) == \ + Piecewise(((-b*e/(2*c) + d) * + Piecewise((log(b + 2*sqrt(c)*sqrt(a + b*x + c*x**2) + 2*c*x)/sqrt(c), Ne(a - b**2/(4*c), 0)), + ((b/(2*c) + x)*log(b/(2*c) + x)/sqrt(c*(b/(2*c) + x)**2), True)) + + e*sqrt(a + b*x + c*x**2)/c, Ne(c, 0)), + ((2*d*sqrt(a + b*x) + 2*e*(-a*sqrt(a + b*x) + (a + b*x)**(S(3)/2)/3)/b)/b, Ne(b, 0)), + ((d*x + e*x**2/2)/sqrt(a), True)) + + assert integrate((3*x**3-x**2+2*x-4)/sqrt(x**2-3*x+2)) == \ + sqrt(x**2 - 3*x + 2)*(x**2 + 13*x/4 + S(101)/8) + 135*log(2*x + 2*sqrt(x**2 - 3*x + 2) - 3)/16 + + assert integrate(sqrt(53225*x**2-66732*x+23013)) == \ + (x/2 - S(16683)/53225)*sqrt(53225*x**2 - 66732*x + 23013) + \ + 111576969*sqrt(2129)*asinh(53225*x/10563 - S(11122)/3521)/1133160250 + assert integrate(sqrt(a+b*x+c*x**2), x) == \ + Piecewise(((a/2 - b**2/(8*c)) * + Piecewise((log(b + 2*sqrt(c)*sqrt(a + b*x + c*x**2) + 2*c*x)/sqrt(c), Ne(a - b**2/(4*c), 0)), + ((b/(2*c) + x)*log(b/(2*c) + x)/sqrt(c*(b/(2*c) + x)**2), True)) + + (b/(4*c) + x/2)*sqrt(a + b*x + c*x**2), Ne(c, 0)), + (2*(a + b*x)**(S(3)/2)/(3*b), Ne(b, 0)), + (sqrt(a)*x, True)) + + assert integrate(x*sqrt(x**2+2*x+4)) == \ + (x**2/3 + x/6 + S(5)/6)*sqrt(x**2 + 2*x + 4) - 3*asinh(sqrt(3)*(x + 1)/3)/2 + + +def test_mul_pow_derivative(): + assert integrate(x*sec(x)*tan(x)) == x*sec(x) - log(tan(x) + sec(x)) + assert integrate(x*sec(x)**2, x) == x*tan(x) + log(cos(x)) + assert integrate(x**3*Derivative(f(x), (x, 4))) == \ + x**3*Derivative(f(x), (x, 3)) - 3*x**2*Derivative(f(x), (x, 2)) + 6*x*Derivative(f(x), x) - 6*f(x) + + +def test_issue_20782(): + fun1 = Piecewise((0, x < 0.0), (1, True)) + fun2 = -Piecewise((0, x < 1.0), (1, True)) + fun_sum = fun1 + fun2 + L = (x, -float('Inf'), 1) + + assert integrate(fun1, L) == 1 + assert integrate(fun2, L) == 0 + assert integrate(-fun1, L) == -1 + assert integrate(-fun2, L) == 0 + assert integrate(fun_sum, L) == 1. + assert integrate(-fun_sum, L) == -1. + + +def test_issue_20781(): + P = lambda a: Piecewise((0, x < a), (1, x >= a)) + f = lambda a: P(int(a)) + P(float(a)) + L = (x, -float('Inf'), x) + f1 = integrate(f(1), L) + assert f1 == 2*x - Min(1.0, x) - Min(x, Max(1.0, 1, evaluate=False)) + # XXX is_zero is True for S(0) and Float(0) and this is baked into + # the code more deeply than the issue of Float(0) != S(0) + assert integrate(f(0), (x, -float('Inf'), x) + ) == 2*x - 2*Min(0, x) + + +@slow +def test_issue_19427(): + # + x = Symbol("x") + + # Have always been okay: + assert integrate((x ** 4) * sqrt(1 - x ** 2), (x, -1, 1)) == pi / 16 + assert integrate((-2 * x ** 2) * sqrt(1 - x ** 2), (x, -1, 1)) == -pi / 4 + assert integrate((1) * sqrt(1 - x ** 2), (x, -1, 1)) == pi / 2 + + # Sum of the above, used to incorrectly return 0 for a while: + assert integrate((x ** 4 - 2 * x ** 2 + 1) * sqrt(1 - x ** 2), (x, -1, 1)) == 5 * pi / 16 + + +def test_issue_23942(): + I1 = Integral(1/sqrt(a*(1 + x)**3 + (1 + x)**2), (x, 0, z)) + assert I1.series(a, 1, n=1) == Integral(1/sqrt(x**3 + 4*x**2 + 5*x + 2), (x, 0, z)) + O(a - 1, (a, 1)) + I2 = Integral(1/sqrt(a*(4 - x)**4 + (5 + x)**2), (x, 0, z)) + assert I2.series(a, 2, n=1) == Integral(1/sqrt(2*x**4 - 32*x**3 + 193*x**2 - 502*x + 537), (x, 0, z)) + O(a - 2, (a, 2)) + + +def test_issue_25886(): + # https://github.com/sympy/sympy/issues/25886 + f = (1-x)*exp(0.937098661j*x) + F_exp = (1.0*(-1.0671234968289*I*y + + 1.13875255748434 + + 1.0671234968289*I)*exp(0.937098661*I*y) + - 1.13875255748434*exp(0.937098661*I)) + F = integrate(f, (x, y, 1.0)) + assert F.is_same(F_exp, math.isclose) + + +def test_old_issues(): + # https://github.com/sympy/sympy/issues/5212 + I1 = integrate(cos(log(x**2))/x) + assert I1 == sin(log(x**2))/2 + # https://github.com/sympy/sympy/issues/5462 + I2 = integrate(1/(x**2+y**2)**(Rational(3,2)),x) + assert I2 == x/(y**3*sqrt(x**2/y**2 + 1)) + # https://github.com/sympy/sympy/issues/6278 + I3 = integrate(1/(cos(x)+2),(x,0,2*pi)) + assert I3 == 2*sqrt(3)*pi/3 + + +def test_integral_issue_26566(): + # Define the symbols + x = symbols('x', real=True) + a = symbols('a', real=True, positive=True) + + # Define the integral expression + integral_expr = sin(a * (x + pi))**2 + symbolic_result = integrate(integral_expr, (x, -pi, -pi/2)) + + # Known correct result + correct_result = pi / 4 + + # Substitute a specific value for 'a' to evaluate both results + a_value = 1 + numeric_symbolic_result = symbolic_result.subs(a, a_value).evalf() + numeric_correct_result = correct_result.evalf() + + # Assert that the symbolic result matches the correct value + assert simplify(numeric_symbolic_result - numeric_correct_result) == 0 + + +def test_definite_integral_with_floats_issue_27231(): + # Define the symbol and the integral expression + x = symbols('x', real=True) + integral_expr = sqrt(1 - 0.5625 * (x + 0.333333333333333) ** 2) + + # Perform the definite integral with the known limits + result_symbolic = integrate(integral_expr, (x, -1, 1)) + result_numeric = result_symbolic.evalf() + + # Expected result with higher precision + expected_result = sqrt(3) / 6 + 4 * pi / 9 + + # Verify that the result is approximately equal within a larger tolerance + assert abs(result_numeric - expected_result.evalf()) < 1e-8 + + +def test_issue_27374(): + #https://github.com/sympy/sympy/issues/27374 + r = sqrt(x**2 + z**2) + u = erf(a*r/sqrt(2))/r + Ec = diff(u, z, z).subs([(x, sqrt(b*b-z*z))]) + expected_result = -2*sqrt(2)*b*a**3*exp(-b**2*a**2/2)/(3*sqrt(pi)) + assert simplify(integrate(Ec, (z, -b, b))) == expected_result diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/integrals/tests/test_intpoly.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/integrals/tests/test_intpoly.py new file mode 100644 index 0000000000000000000000000000000000000000..ddbaad1fbdeca53ccab8e8b22758a6ad2d89836e --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/integrals/tests/test_intpoly.py @@ -0,0 +1,627 @@ +from sympy.functions.elementary.complexes import Abs +from sympy.functions.elementary.miscellaneous import sqrt + +from sympy.core import S, Rational + +from sympy.integrals.intpoly import (decompose, best_origin, distance_to_side, + polytope_integrate, point_sort, + hyperplane_parameters, main_integrate3d, + main_integrate, polygon_integrate, + lineseg_integrate, integration_reduction, + integration_reduction_dynamic, is_vertex) + +from sympy.geometry.line import Segment2D +from sympy.geometry.polygon import Polygon +from sympy.geometry.point import Point, Point2D +from sympy.abc import x, y, z + +from sympy.testing.pytest import slow + + +def test_decompose(): + assert decompose(x) == {1: x} + assert decompose(x**2) == {2: x**2} + assert decompose(x*y) == {2: x*y} + assert decompose(x + y) == {1: x + y} + assert decompose(x**2 + y) == {1: y, 2: x**2} + assert decompose(8*x**2 + 4*y + 7) == {0: 7, 1: 4*y, 2: 8*x**2} + assert decompose(x**2 + 3*y*x) == {2: x**2 + 3*x*y} + assert decompose(9*x**2 + y + 4*x + x**3 + y**2*x + 3) ==\ + {0: 3, 1: 4*x + y, 2: 9*x**2, 3: x**3 + x*y**2} + + assert decompose(x, True) == {x} + assert decompose(x ** 2, True) == {x**2} + assert decompose(x * y, True) == {x * y} + assert decompose(x + y, True) == {x, y} + assert decompose(x ** 2 + y, True) == {y, x ** 2} + assert decompose(8 * x ** 2 + 4 * y + 7, True) == {7, 4*y, 8*x**2} + assert decompose(x ** 2 + 3 * y * x, True) == {x ** 2, 3 * x * y} + assert decompose(9 * x ** 2 + y + 4 * x + x ** 3 + y ** 2 * x + 3, True) == \ + {3, y, 4*x, 9*x**2, x*y**2, x**3} + + +def test_best_origin(): + expr1 = y ** 2 * x ** 5 + y ** 5 * x ** 7 + 7 * x + x ** 12 + y ** 7 * x + + l1 = Segment2D(Point(0, 3), Point(1, 1)) + l2 = Segment2D(Point(S(3) / 2, 0), Point(S(3) / 2, 3)) + l3 = Segment2D(Point(0, S(3) / 2), Point(3, S(3) / 2)) + l4 = Segment2D(Point(0, 2), Point(2, 0)) + l5 = Segment2D(Point(0, 2), Point(1, 1)) + l6 = Segment2D(Point(2, 0), Point(1, 1)) + + assert best_origin((2, 1), 3, l1, expr1) == (0, 3) + # XXX: Should these return exact Rational output? Maybe best_origin should + # sympify its arguments... + assert best_origin((2, 0), 3, l2, x ** 7) == (1.5, 0) + assert best_origin((0, 2), 3, l3, x ** 7) == (0, 1.5) + assert best_origin((1, 1), 2, l4, x ** 7 * y ** 3) == (0, 2) + assert best_origin((1, 1), 2, l4, x ** 3 * y ** 7) == (2, 0) + assert best_origin((1, 1), 2, l5, x ** 2 * y ** 9) == (0, 2) + assert best_origin((1, 1), 2, l6, x ** 9 * y ** 2) == (2, 0) + + +@slow +def test_polytope_integrate(): + # Convex 2-Polytopes + # Vertex representation + assert polytope_integrate(Polygon(Point(0, 0), Point(0, 2), + Point(4, 0)), 1) == 4 + assert polytope_integrate(Polygon(Point(0, 0), Point(0, 1), + Point(1, 1), Point(1, 0)), x * y) ==\ + Rational(1, 4) + assert polytope_integrate(Polygon(Point(0, 3), Point(5, 3), Point(1, 1)), + 6*x**2 - 40*y) == Rational(-935, 3) + + assert polytope_integrate(Polygon(Point(0, 0), Point(0, sqrt(3)), + Point(sqrt(3), sqrt(3)), + Point(sqrt(3), 0)), 1) == 3 + + hexagon = Polygon(Point(0, 0), Point(-sqrt(3) / 2, S.Half), + Point(-sqrt(3) / 2, S(3) / 2), Point(0, 2), + Point(sqrt(3) / 2, S(3) / 2), Point(sqrt(3) / 2, S.Half)) + + assert polytope_integrate(hexagon, 1) == S(3*sqrt(3)) / 2 + + # Hyperplane representation + assert polytope_integrate([((-1, 0), 0), ((1, 2), 4), + ((0, -1), 0)], 1) == 4 + assert polytope_integrate([((-1, 0), 0), ((0, 1), 1), + ((1, 0), 1), ((0, -1), 0)], x * y) == Rational(1, 4) + assert polytope_integrate([((0, 1), 3), ((1, -2), -1), + ((-2, -1), -3)], 6*x**2 - 40*y) == Rational(-935, 3) + assert polytope_integrate([((-1, 0), 0), ((0, sqrt(3)), 3), + ((sqrt(3), 0), 3), ((0, -1), 0)], 1) == 3 + + hexagon = [((Rational(-1, 2), -sqrt(3) / 2), 0), + ((-1, 0), sqrt(3) / 2), + ((Rational(-1, 2), sqrt(3) / 2), sqrt(3)), + ((S.Half, sqrt(3) / 2), sqrt(3)), + ((1, 0), sqrt(3) / 2), + ((S.Half, -sqrt(3) / 2), 0)] + assert polytope_integrate(hexagon, 1) == S(3*sqrt(3)) / 2 + + # Non-convex polytopes + # Vertex representation + assert polytope_integrate(Polygon(Point(-1, -1), Point(-1, 1), + Point(1, 1), Point(0, 0), + Point(1, -1)), 1) == 3 + assert polytope_integrate(Polygon(Point(-1, -1), Point(-1, 1), + Point(0, 0), Point(1, 1), + Point(1, -1), Point(0, 0)), 1) == 2 + # Hyperplane representation + assert polytope_integrate([((-1, 0), 1), ((0, 1), 1), ((1, -1), 0), + ((1, 1), 0), ((0, -1), 1)], 1) == 3 + assert polytope_integrate([((-1, 0), 1), ((1, 1), 0), ((-1, 1), 0), + ((1, 0), 1), ((-1, -1), 0), + ((1, -1), 0)], 1) == 2 + + # Tests for 2D polytopes mentioned in Chin et al(Page 10): + # http://dilbert.engr.ucdavis.edu/~suku/quadrature/cls-integration.pdf + fig1 = Polygon(Point(1.220, -0.827), Point(-1.490, -4.503), + Point(-3.766, -1.622), Point(-4.240, -0.091), + Point(-3.160, 4), Point(-0.981, 4.447), + Point(0.132, 4.027)) + assert polytope_integrate(fig1, x**2 + x*y + y**2) ==\ + S(2031627344735367)/(8*10**12) + + fig2 = Polygon(Point(4.561, 2.317), Point(1.491, -1.315), + Point(-3.310, -3.164), Point(-4.845, -3.110), + Point(-4.569, 1.867)) + assert polytope_integrate(fig2, x**2 + x*y + y**2) ==\ + S(517091313866043)/(16*10**11) + + fig3 = Polygon(Point(-2.740, -1.888), Point(-3.292, 4.233), + Point(-2.723, -0.697), Point(-0.643, -3.151)) + assert polytope_integrate(fig3, x**2 + x*y + y**2) ==\ + S(147449361647041)/(8*10**12) + + fig4 = Polygon(Point(0.211, -4.622), Point(-2.684, 3.851), + Point(0.468, 4.879), Point(4.630, -1.325), + Point(-0.411, -1.044)) + assert polytope_integrate(fig4, x**2 + x*y + y**2) ==\ + S(180742845225803)/(10**12) + + # Tests for many polynomials with maximum degree given(2D case). + tri = Polygon(Point(0, 3), Point(5, 3), Point(1, 1)) + polys = [] + expr1 = x**9*y + x**7*y**3 + 2*x**2*y**8 + expr2 = x**6*y**4 + x**5*y**5 + 2*y**10 + expr3 = x**10 + x**9*y + x**8*y**2 + x**5*y**5 + polys.extend((expr1, expr2, expr3)) + result_dict = polytope_integrate(tri, polys, max_degree=10) + assert result_dict[expr1] == Rational(615780107, 594) + assert result_dict[expr2] == Rational(13062161, 27) + assert result_dict[expr3] == Rational(1946257153, 924) + + tri = Polygon(Point(0, 3), Point(5, 3), Point(1, 1)) + expr1 = x**7*y**1 + 2*x**2*y**6 + expr2 = x**6*y**4 + x**5*y**5 + 2*y**10 + expr3 = x**10 + x**9*y + x**8*y**2 + x**5*y**5 + polys.extend((expr1, expr2, expr3)) + assert polytope_integrate(tri, polys, max_degree=9) == \ + {x**7*y + 2*x**2*y**6: Rational(489262, 9)} + + # Tests when all integral of all monomials up to a max_degree is to be + # calculated. + assert polytope_integrate(Polygon(Point(0, 0), Point(0, 1), + Point(1, 1), Point(1, 0)), + max_degree=4) == {0: 0, 1: 1, x: S.Half, + x ** 2 * y ** 2: S.One / 9, + x ** 4: S.One / 5, + y ** 4: S.One / 5, + y: S.Half, + x * y ** 2: S.One / 6, + y ** 2: S.One / 3, + x ** 3: S.One / 4, + x ** 2 * y: S.One / 6, + x ** 3 * y: S.One / 8, + x * y: S.One / 4, + y ** 3: S.One / 4, + x ** 2: S.One / 3, + x * y ** 3: S.One / 8} + + # Tests for 3D polytopes + cube1 = [[(0, 0, 0), (0, 6, 6), (6, 6, 6), (3, 6, 0), + (0, 6, 0), (6, 0, 6), (3, 0, 0), (0, 0, 6)], + [1, 2, 3, 4], [3, 2, 5, 6], [1, 7, 5, 2], [0, 6, 5, 7], + [1, 4, 0, 7], [0, 4, 3, 6]] + assert polytope_integrate(cube1, 1) == S(162) + + # 3D Test cases in Chin et al(2015) + cube2 = [[(0, 0, 0), (0, 0, 5), (0, 5, 0), (0, 5, 5), (5, 0, 0), + (5, 0, 5), (5, 5, 0), (5, 5, 5)], + [3, 7, 6, 2], [1, 5, 7, 3], [5, 4, 6, 7], [0, 4, 5, 1], + [2, 0, 1, 3], [2, 6, 4, 0]] + + cube3 = [[(0, 0, 0), (5, 0, 0), (5, 4, 0), (3, 2, 0), (3, 5, 0), + (0, 5, 0), (0, 0, 5), (5, 0, 5), (5, 4, 5), (3, 2, 5), + (3, 5, 5), (0, 5, 5)], + [6, 11, 5, 0], [1, 7, 6, 0], [5, 4, 3, 2, 1, 0], [11, 10, 4, 5], + [10, 9, 3, 4], [9, 8, 2, 3], [8, 7, 1, 2], [7, 8, 9, 10, 11, 6]] + + cube4 = [[(0, 0, 0), (1, 0, 0), (0, 1, 0), (0, 0, 1), + (S.One / 4, S.One / 4, S.One / 4)], + [0, 2, 1], [1, 3, 0], [4, 2, 3], [4, 3, 1], + [0, 1, 2], [2, 4, 1], [0, 3, 2]] + + assert polytope_integrate(cube2, x ** 2 + y ** 2 + x * y + z ** 2) ==\ + Rational(15625, 4) + assert polytope_integrate(cube3, x ** 2 + y ** 2 + x * y + z ** 2) ==\ + S(33835) / 12 + assert polytope_integrate(cube4, x ** 2 + y ** 2 + x * y + z ** 2) ==\ + S(37) / 960 + + # Test cases from Mathematica's PolyhedronData library + octahedron = [[(S.NegativeOne / sqrt(2), 0, 0), (0, S.One / sqrt(2), 0), + (0, 0, S.NegativeOne / sqrt(2)), (0, 0, S.One / sqrt(2)), + (0, S.NegativeOne / sqrt(2), 0), (S.One / sqrt(2), 0, 0)], + [3, 4, 5], [3, 5, 1], [3, 1, 0], [3, 0, 4], [4, 0, 2], + [4, 2, 5], [2, 0, 1], [5, 2, 1]] + + assert polytope_integrate(octahedron, 1) == sqrt(2) / 3 + + great_stellated_dodecahedron =\ + [[(-0.32491969623290634095, 0, 0.42532540417601993887), + (0.32491969623290634095, 0, -0.42532540417601993887), + (-0.52573111211913359231, 0, 0.10040570794311363956), + (0.52573111211913359231, 0, -0.10040570794311363956), + (-0.10040570794311363956, -0.3090169943749474241, 0.42532540417601993887), + (-0.10040570794311363956, 0.30901699437494742410, 0.42532540417601993887), + (0.10040570794311363956, -0.3090169943749474241, -0.42532540417601993887), + (0.10040570794311363956, 0.30901699437494742410, -0.42532540417601993887), + (-0.16245984811645317047, -0.5, 0.10040570794311363956), + (-0.16245984811645317047, 0.5, 0.10040570794311363956), + (0.16245984811645317047, -0.5, -0.10040570794311363956), + (0.16245984811645317047, 0.5, -0.10040570794311363956), + (-0.42532540417601993887, -0.3090169943749474241, -0.10040570794311363956), + (-0.42532540417601993887, 0.30901699437494742410, -0.10040570794311363956), + (-0.26286555605956679615, 0.1909830056250525759, -0.42532540417601993887), + (-0.26286555605956679615, -0.1909830056250525759, -0.42532540417601993887), + (0.26286555605956679615, 0.1909830056250525759, 0.42532540417601993887), + (0.26286555605956679615, -0.1909830056250525759, 0.42532540417601993887), + (0.42532540417601993887, -0.3090169943749474241, 0.10040570794311363956), + (0.42532540417601993887, 0.30901699437494742410, 0.10040570794311363956)], + [12, 3, 0, 6, 16], [17, 7, 0, 3, 13], + [9, 6, 0, 7, 8], [18, 2, 1, 4, 14], + [15, 5, 1, 2, 19], [11, 4, 1, 5, 10], + [8, 19, 2, 18, 9], [10, 13, 3, 12, 11], + [16, 14, 4, 11, 12], [13, 10, 5, 15, 17], + [14, 16, 6, 9, 18], [19, 8, 7, 17, 15]] + # Actual volume is : 0.163118960624632 + assert Abs(polytope_integrate(great_stellated_dodecahedron, 1) -\ + 0.163118960624632) < 1e-12 + + expr = x **2 + y ** 2 + z ** 2 + octahedron_five_compound = [[(0, -0.7071067811865475244, 0), + (0, 0.70710678118654752440, 0), + (0.1148764602736805918, + -0.35355339059327376220, -0.60150095500754567366), + (0.1148764602736805918, 0.35355339059327376220, + -0.60150095500754567366), + (0.18587401723009224507, + -0.57206140281768429760, 0.37174803446018449013), + (0.18587401723009224507, 0.57206140281768429760, + 0.37174803446018449013), + (0.30075047750377283683, -0.21850801222441053540, + 0.60150095500754567366), + (0.30075047750377283683, 0.21850801222441053540, + 0.60150095500754567366), + (0.48662449473386508189, -0.35355339059327376220, + -0.37174803446018449013), + (0.48662449473386508189, 0.35355339059327376220, + -0.37174803446018449013), + (-0.60150095500754567366, 0, -0.37174803446018449013), + (-0.30075047750377283683, -0.21850801222441053540, + -0.60150095500754567366), + (-0.30075047750377283683, 0.21850801222441053540, + -0.60150095500754567366), + (0.60150095500754567366, 0, 0.37174803446018449013), + (0.4156269377774534286, -0.57206140281768429760, 0), + (0.4156269377774534286, 0.57206140281768429760, 0), + (0.37174803446018449013, 0, -0.60150095500754567366), + (-0.4156269377774534286, -0.57206140281768429760, 0), + (-0.4156269377774534286, 0.57206140281768429760, 0), + (-0.67249851196395732696, -0.21850801222441053540, 0), + (-0.67249851196395732696, 0.21850801222441053540, 0), + (0.67249851196395732696, -0.21850801222441053540, 0), + (0.67249851196395732696, 0.21850801222441053540, 0), + (-0.37174803446018449013, 0, 0.60150095500754567366), + (-0.48662449473386508189, -0.35355339059327376220, + 0.37174803446018449013), + (-0.48662449473386508189, 0.35355339059327376220, + 0.37174803446018449013), + (-0.18587401723009224507, -0.57206140281768429760, + -0.37174803446018449013), + (-0.18587401723009224507, 0.57206140281768429760, + -0.37174803446018449013), + (-0.11487646027368059176, -0.35355339059327376220, + 0.60150095500754567366), + (-0.11487646027368059176, 0.35355339059327376220, + 0.60150095500754567366)], + [0, 10, 16], [23, 10, 0], [16, 13, 0], + [0, 13, 23], [16, 10, 1], [1, 10, 23], + [1, 13, 16], [23, 13, 1], [2, 4, 19], + [22, 4, 2], [2, 19, 27], [27, 22, 2], + [20, 5, 3], [3, 5, 21], [26, 20, 3], + [3, 21, 26], [29, 19, 4], [4, 22, 29], + [5, 20, 28], [28, 21, 5], [6, 8, 15], + [17, 8, 6], [6, 15, 25], [25, 17, 6], + [14, 9, 7], [7, 9, 18], [24, 14, 7], + [7, 18, 24], [8, 12, 15], [17, 12, 8], + [14, 11, 9], [9, 11, 18], [11, 14, 24], + [24, 18, 11], [25, 15, 12], [12, 17, 25], + [29, 27, 19], [20, 26, 28], [28, 26, 21], + [22, 27, 29]] + assert Abs(polytope_integrate(octahedron_five_compound, expr)) - 0.353553\ + < 1e-6 + + cube_five_compound = [[(-0.1624598481164531631, -0.5, -0.6881909602355867691), + (-0.1624598481164531631, 0.5, -0.6881909602355867691), + (0.1624598481164531631, -0.5, 0.68819096023558676910), + (0.1624598481164531631, 0.5, 0.68819096023558676910), + (-0.52573111211913359231, 0, -0.6881909602355867691), + (0.52573111211913359231, 0, 0.68819096023558676910), + (-0.26286555605956679615, -0.8090169943749474241, + -0.1624598481164531631), + (-0.26286555605956679615, 0.8090169943749474241, + -0.1624598481164531631), + (0.26286555605956680301, -0.8090169943749474241, + 0.1624598481164531631), + (0.26286555605956680301, 0.8090169943749474241, + 0.1624598481164531631), + (-0.42532540417601993887, -0.3090169943749474241, + 0.68819096023558676910), + (-0.42532540417601993887, 0.30901699437494742410, + 0.68819096023558676910), + (0.42532540417601996609, -0.3090169943749474241, + -0.6881909602355867691), + (0.42532540417601996609, 0.30901699437494742410, + -0.6881909602355867691), + (-0.6881909602355867691, -0.5, 0.1624598481164531631), + (-0.6881909602355867691, 0.5, 0.1624598481164531631), + (0.68819096023558676910, -0.5, -0.1624598481164531631), + (0.68819096023558676910, 0.5, -0.1624598481164531631), + (-0.85065080835203998877, 0, -0.1624598481164531631), + (0.85065080835203993218, 0, 0.1624598481164531631)], + [18, 10, 3, 7], [13, 19, 8, 0], [18, 0, 8, 10], + [3, 19, 13, 7], [18, 7, 13, 0], [8, 19, 3, 10], + [6, 2, 11, 18], [1, 9, 19, 12], [11, 9, 1, 18], + [6, 12, 19, 2], [1, 12, 6, 18], [11, 2, 19, 9], + [4, 14, 11, 7], [17, 5, 8, 12], [4, 12, 8, 14], + [11, 5, 17, 7], [4, 7, 17, 12], [8, 5, 11, 14], + [6, 10, 15, 4], [13, 9, 5, 16], [15, 9, 13, 4], + [6, 16, 5, 10], [13, 16, 6, 4], [15, 10, 5, 9], + [14, 15, 1, 0], [16, 17, 3, 2], [14, 2, 3, 15], + [1, 17, 16, 0], [14, 0, 16, 2], [3, 17, 1, 15]] + assert Abs(polytope_integrate(cube_five_compound, expr) - 1.25) < 1e-12 + + echidnahedron = [[(0, 0, -2.4898982848827801995), + (0, 0, 2.4898982848827802734), + (0, -4.2360679774997896964, -2.4898982848827801995), + (0, -4.2360679774997896964, 2.4898982848827802734), + (0, 4.2360679774997896964, -2.4898982848827801995), + (0, 4.2360679774997896964, 2.4898982848827802734), + (-4.0287400534704067567, -1.3090169943749474241, -2.4898982848827801995), + (-4.0287400534704067567, -1.3090169943749474241, 2.4898982848827802734), + (-4.0287400534704067567, 1.3090169943749474241, -2.4898982848827801995), + (-4.0287400534704067567, 1.3090169943749474241, 2.4898982848827802734), + (4.0287400534704069747, -1.3090169943749474241, -2.4898982848827801995), + (4.0287400534704069747, -1.3090169943749474241, 2.4898982848827802734), + (4.0287400534704069747, 1.3090169943749474241, -2.4898982848827801995), + (4.0287400534704069747, 1.3090169943749474241, 2.4898982848827802734), + (-2.4898982848827801995, -3.4270509831248422723, -2.4898982848827801995), + (-2.4898982848827801995, -3.4270509831248422723, 2.4898982848827802734), + (-2.4898982848827801995, 3.4270509831248422723, -2.4898982848827801995), + (-2.4898982848827801995, 3.4270509831248422723, 2.4898982848827802734), + (2.4898982848827802734, -3.4270509831248422723, -2.4898982848827801995), + (2.4898982848827802734, -3.4270509831248422723, 2.4898982848827802734), + (2.4898982848827802734, 3.4270509831248422723, -2.4898982848827801995), + (2.4898982848827802734, 3.4270509831248422723, 2.4898982848827802734), + (-4.7169310137059934362, -0.8090169943749474241, -1.1135163644116066184), + (-4.7169310137059934362, 0.8090169943749474241, -1.1135163644116066184), + (4.7169310137059937438, -0.8090169943749474241, 1.11351636441160673519), + (4.7169310137059937438, 0.8090169943749474241, 1.11351636441160673519), + (-4.2916056095299737777, -2.1180339887498948482, 1.11351636441160673519), + (-4.2916056095299737777, 2.1180339887498948482, 1.11351636441160673519), + (4.2916056095299737777, -2.1180339887498948482, -1.1135163644116066184), + (4.2916056095299737777, 2.1180339887498948482, -1.1135163644116066184), + (-3.6034146492943870399, 0, -3.3405490932348205213), + (3.6034146492943870399, 0, 3.3405490932348202056), + (-3.3405490932348205213, -3.4270509831248422723, 1.11351636441160673519), + (-3.3405490932348205213, 3.4270509831248422723, 1.11351636441160673519), + (3.3405490932348202056, -3.4270509831248422723, -1.1135163644116066184), + (3.3405490932348202056, 3.4270509831248422723, -1.1135163644116066184), + (-2.9152236890588002395, -2.1180339887498948482, 3.3405490932348202056), + (-2.9152236890588002395, 2.1180339887498948482, 3.3405490932348202056), + (2.9152236890588002395, -2.1180339887498948482, -3.3405490932348205213), + (2.9152236890588002395, 2.1180339887498948482, -3.3405490932348205213), + (-2.2270327288232132368, 0, -1.1135163644116066184), + (-2.2270327288232132368, -4.2360679774997896964, -1.1135163644116066184), + (-2.2270327288232132368, 4.2360679774997896964, -1.1135163644116066184), + (2.2270327288232134704, 0, 1.11351636441160673519), + (2.2270327288232134704, -4.2360679774997896964, 1.11351636441160673519), + (2.2270327288232134704, 4.2360679774997896964, 1.11351636441160673519), + (-1.8017073246471935200, -1.3090169943749474241, 1.11351636441160673519), + (-1.8017073246471935200, 1.3090169943749474241, 1.11351636441160673519), + (1.8017073246471935043, -1.3090169943749474241, -1.1135163644116066184), + (1.8017073246471935043, 1.3090169943749474241, -1.1135163644116066184), + (-1.3763819204711735382, 0, -4.7169310137059934362), + (-1.3763819204711735382, 0, 0.26286555605956679615), + (1.37638192047117353821, 0, 4.7169310137059937438), + (1.37638192047117353821, 0, -0.26286555605956679615), + (-1.1135163644116066184, -3.4270509831248422723, -3.3405490932348205213), + (-1.1135163644116066184, -0.8090169943749474241, 4.7169310137059937438), + (-1.1135163644116066184, -0.8090169943749474241, -0.26286555605956679615), + (-1.1135163644116066184, 0.8090169943749474241, 4.7169310137059937438), + (-1.1135163644116066184, 0.8090169943749474241, -0.26286555605956679615), + (-1.1135163644116066184, 3.4270509831248422723, -3.3405490932348205213), + (1.11351636441160673519, -3.4270509831248422723, 3.3405490932348202056), + (1.11351636441160673519, -0.8090169943749474241, -4.7169310137059934362), + (1.11351636441160673519, -0.8090169943749474241, 0.26286555605956679615), + (1.11351636441160673519, 0.8090169943749474241, -4.7169310137059934362), + (1.11351636441160673519, 0.8090169943749474241, 0.26286555605956679615), + (1.11351636441160673519, 3.4270509831248422723, 3.3405490932348202056), + (-0.85065080835203998877, 0, 1.11351636441160673519), + (0.85065080835203993218, 0, -1.1135163644116066184), + (-0.6881909602355867691, -0.5, -1.1135163644116066184), + (-0.6881909602355867691, 0.5, -1.1135163644116066184), + (-0.6881909602355867691, -4.7360679774997896964, -1.1135163644116066184), + (-0.6881909602355867691, -2.1180339887498948482, -1.1135163644116066184), + (-0.6881909602355867691, 2.1180339887498948482, -1.1135163644116066184), + (-0.6881909602355867691, 4.7360679774997896964, -1.1135163644116066184), + (0.68819096023558676910, -0.5, 1.11351636441160673519), + (0.68819096023558676910, 0.5, 1.11351636441160673519), + (0.68819096023558676910, -4.7360679774997896964, 1.11351636441160673519), + (0.68819096023558676910, -2.1180339887498948482, 1.11351636441160673519), + (0.68819096023558676910, 2.1180339887498948482, 1.11351636441160673519), + (0.68819096023558676910, 4.7360679774997896964, 1.11351636441160673519), + (-0.42532540417601993887, -1.3090169943749474241, -4.7169310137059934362), + (-0.42532540417601993887, -1.3090169943749474241, 0.26286555605956679615), + (-0.42532540417601993887, 1.3090169943749474241, -4.7169310137059934362), + (-0.42532540417601993887, 1.3090169943749474241, 0.26286555605956679615), + (-0.26286555605956679615, -0.8090169943749474241, 1.11351636441160673519), + (-0.26286555605956679615, 0.8090169943749474241, 1.11351636441160673519), + (0.26286555605956679615, -0.8090169943749474241, -1.1135163644116066184), + (0.26286555605956679615, 0.8090169943749474241, -1.1135163644116066184), + (0.42532540417601996609, -1.3090169943749474241, 4.7169310137059937438), + (0.42532540417601996609, -1.3090169943749474241, -0.26286555605956679615), + (0.42532540417601996609, 1.3090169943749474241, 4.7169310137059937438), + (0.42532540417601996609, 1.3090169943749474241, -0.26286555605956679615)], + [9, 66, 47], [44, 62, 77], [20, 91, 49], [33, 47, 83], + [3, 77, 84], [12, 49, 53], [36, 84, 66], [28, 53, 62], + [73, 83, 91], [15, 84, 46], [25, 64, 43], [16, 58, 72], + [26, 46, 51], [11, 43, 74], [4, 72, 91], [60, 74, 84], + [35, 91, 64], [23, 51, 58], [19, 74, 77], [79, 83, 78], + [6, 56, 40], [76, 77, 81], [21, 78, 75], [8, 40, 58], + [31, 75, 74], [42, 58, 83], [41, 81, 56], [13, 75, 43], + [27, 51, 47], [2, 89, 71], [24, 43, 62], [17, 47, 85], + [14, 71, 56], [65, 85, 75], [22, 56, 51], [34, 62, 89], + [5, 85, 78], [32, 81, 46], [10, 53, 48], [45, 78, 64], + [7, 46, 66], [18, 48, 89], [37, 66, 85], [70, 89, 81], + [29, 64, 53], [88, 74, 1], [38, 67, 48], [42, 83, 72], + [57, 1, 85], [34, 48, 62], [59, 72, 87], [19, 62, 74], + [63, 87, 67], [17, 85, 83], [52, 75, 1], [39, 87, 49], + [22, 51, 40], [55, 1, 66], [29, 49, 64], [30, 40, 69], + [13, 64, 75], [82, 69, 87], [7, 66, 51], [90, 85, 1], + [59, 69, 72], [70, 81, 71], [88, 1, 84], [73, 72, 83], + [54, 71, 68], [5, 83, 85], [50, 68, 69], [3, 84, 81], + [57, 66, 1], [30, 68, 40], [28, 62, 48], [52, 1, 74], + [23, 40, 51], [38, 48, 86], [9, 51, 66], [80, 86, 68], + [11, 74, 62], [55, 84, 1], [54, 86, 71], [35, 64, 49], + [90, 1, 75], [41, 71, 81], [39, 49, 67], [15, 81, 84], + [61, 67, 86], [21, 75, 64], [24, 53, 43], [50, 69, 0], + [37, 85, 47], [31, 43, 75], [61, 0, 67], [27, 47, 58], + [10, 67, 53], [8, 58, 69], [90, 75, 85], [45, 91, 78], + [80, 68, 0], [36, 66, 46], [65, 78, 85], [63, 0, 87], + [32, 46, 56], [20, 87, 91], [14, 56, 68], [57, 85, 66], + [33, 58, 47], [61, 86, 0], [60, 84, 77], [37, 47, 66], + [82, 0, 69], [44, 77, 89], [16, 69, 58], [18, 89, 86], + [55, 66, 84], [26, 56, 46], [63, 67, 0], [31, 74, 43], + [36, 46, 84], [50, 0, 68], [25, 43, 53], [6, 68, 56], + [12, 53, 67], [88, 84, 74], [76, 89, 77], [82, 87, 0], + [65, 75, 78], [60, 77, 74], [80, 0, 86], [79, 78, 91], + [2, 86, 89], [4, 91, 87], [52, 74, 75], [21, 64, 78], + [18, 86, 48], [23, 58, 40], [5, 78, 83], [28, 48, 53], + [6, 40, 68], [25, 53, 64], [54, 68, 86], [33, 83, 58], + [17, 83, 47], [12, 67, 49], [41, 56, 71], [9, 47, 51], + [35, 49, 91], [2, 71, 86], [79, 91, 83], [38, 86, 67], + [26, 51, 56], [7, 51, 46], [4, 87, 72], [34, 89, 48], + [15, 46, 81], [42, 72, 58], [10, 48, 67], [27, 58, 51], + [39, 67, 87], [76, 81, 89], [3, 81, 77], [8, 69, 40], + [29, 53, 49], [19, 77, 62], [22, 40, 56], [20, 49, 87], + [32, 56, 81], [59, 87, 69], [24, 62, 53], [11, 62, 43], + [14, 68, 71], [73, 91, 72], [13, 43, 64], [70, 71, 89], + [16, 72, 69], [44, 89, 62], [30, 69, 68], [45, 64, 91]] + # Actual volume is : 51.405764746872634 + assert Abs(polytope_integrate(echidnahedron, 1) - 51.4057647468726) < 1e-12 + assert Abs(polytope_integrate(echidnahedron, expr) - 253.569603474519) <\ + 1e-12 + + # Tests for many polynomials with maximum degree given(2D case). + assert polytope_integrate(cube2, [x**2, y*z], max_degree=2) == \ + {y * z: 3125 / S(4), x ** 2: 3125 / S(3)} + + assert polytope_integrate(cube2, max_degree=2) == \ + {1: 125, x: 625 / S(2), x * z: 3125 / S(4), y: 625 / S(2), + y * z: 3125 / S(4), z ** 2: 3125 / S(3), y ** 2: 3125 / S(3), + z: 625 / S(2), x * y: 3125 / S(4), x ** 2: 3125 / S(3)} + +def test_point_sort(): + assert point_sort([Point(0, 0), Point(1, 0), Point(1, 1)]) == \ + [Point2D(1, 1), Point2D(1, 0), Point2D(0, 0)] + + fig6 = Polygon((0, 0), (1, 0), (1, 1)) + assert polytope_integrate(fig6, x*y) == Rational(-1, 8) + assert polytope_integrate(fig6, x*y, clockwise = True) == Rational(1, 8) + + +def test_polytopes_intersecting_sides(): + fig5 = Polygon(Point(-4.165, -0.832), Point(-3.668, 1.568), + Point(-3.266, 1.279), Point(-1.090, -2.080), + Point(3.313, -0.683), Point(3.033, -4.845), + Point(-4.395, 4.840), Point(-1.007, -3.328)) + assert polytope_integrate(fig5, x**2 + x*y + y**2) ==\ + S(1633405224899363)/(24*10**12) + + fig6 = Polygon(Point(-3.018, -4.473), Point(-0.103, 2.378), + Point(-1.605, -2.308), Point(4.516, -0.771), + Point(4.203, 0.478)) + assert polytope_integrate(fig6, x**2 + x*y + y**2) ==\ + S(88161333955921)/(3*10**12) + + +def test_max_degree(): + polygon = Polygon((0, 0), (0, 1), (1, 1), (1, 0)) + polys = [1, x, y, x*y, x**2*y, x*y**2] + assert polytope_integrate(polygon, polys, max_degree=3) == \ + {1: 1, x: S.Half, y: S.Half, x*y: Rational(1, 4), x**2*y: Rational(1, 6), x*y**2: Rational(1, 6)} + assert polytope_integrate(polygon, polys, max_degree=2) == \ + {1: 1, x: S.Half, y: S.Half, x*y: Rational(1, 4)} + assert polytope_integrate(polygon, polys, max_degree=1) == \ + {1: 1, x: S.Half, y: S.Half} + + +def test_main_integrate3d(): + cube = [[(0, 0, 0), (0, 0, 5), (0, 5, 0), (0, 5, 5), (5, 0, 0),\ + (5, 0, 5), (5, 5, 0), (5, 5, 5)],\ + [2, 6, 7, 3], [3, 7, 5, 1], [7, 6, 4, 5], [1, 5, 4, 0],\ + [3, 1, 0, 2], [0, 4, 6, 2]] + vertices = cube[0] + faces = cube[1:] + hp_params = hyperplane_parameters(faces, vertices) + assert main_integrate3d(1, faces, vertices, hp_params) == -125 + assert main_integrate3d(1, faces, vertices, hp_params, max_degree=1) == \ + {1: -125, y: Rational(-625, 2), z: Rational(-625, 2), x: Rational(-625, 2)} + + +def test_main_integrate(): + triangle = Polygon((0, 3), (5, 3), (1, 1)) + facets = triangle.sides + hp_params = hyperplane_parameters(triangle) + assert main_integrate(x**2 + y**2, facets, hp_params) == Rational(325, 6) + assert main_integrate(x**2 + y**2, facets, hp_params, max_degree=1) == \ + {0: 0, 1: 5, y: Rational(35, 3), x: 10} + + +def test_polygon_integrate(): + cube = [[(0, 0, 0), (0, 0, 5), (0, 5, 0), (0, 5, 5), (5, 0, 0),\ + (5, 0, 5), (5, 5, 0), (5, 5, 5)],\ + [2, 6, 7, 3], [3, 7, 5, 1], [7, 6, 4, 5], [1, 5, 4, 0],\ + [3, 1, 0, 2], [0, 4, 6, 2]] + facet = cube[1] + facets = cube[1:] + vertices = cube[0] + assert polygon_integrate(facet, [(0, 1, 0), 5], 0, facets, vertices, 1, 0) == -25 + + +def test_distance_to_side(): + point = (0, 0, 0) + assert distance_to_side(point, [(0, 0, 1), (0, 1, 0)], (1, 0, 0)) == -sqrt(2)/2 + + +def test_lineseg_integrate(): + polygon = [(0, 5, 0), (5, 5, 0), (5, 5, 5), (0, 5, 5)] + line_seg = [(0, 5, 0), (5, 5, 0)] + assert lineseg_integrate(polygon, 0, line_seg, 1, 0) == 5 + assert lineseg_integrate(polygon, 0, line_seg, 0, 0) == 0 + + +def test_integration_reduction(): + triangle = Polygon(Point(0, 3), Point(5, 3), Point(1, 1)) + facets = triangle.sides + a, b = hyperplane_parameters(triangle)[0] + assert integration_reduction(facets, 0, a, b, 1, (x, y), 0) == 5 + assert integration_reduction(facets, 0, a, b, 0, (x, y), 0) == 0 + + +def test_integration_reduction_dynamic(): + triangle = Polygon(Point(0, 3), Point(5, 3), Point(1, 1)) + facets = triangle.sides + a, b = hyperplane_parameters(triangle)[0] + x0 = facets[0].points[0] + monomial_values = [[0, 0, 0, 0], [1, 0, 0, 5],\ + [y, 0, 1, 15], [x, 1, 0, None]] + + assert integration_reduction_dynamic(facets, 0, a, b, x, 1, (x, y), 1,\ + 0, 1, x0, monomial_values, 3) == Rational(25, 2) + assert integration_reduction_dynamic(facets, 0, a, b, 0, 1, (x, y), 1,\ + 0, 1, x0, monomial_values, 3) == 0 + + +def test_is_vertex(): + assert is_vertex(2) is False + assert is_vertex((2, 3)) is True + assert is_vertex(Point(2, 3)) is True + assert is_vertex((2, 3, 4)) is True + assert is_vertex((2, 3, 4, 5)) is False + + +def test_issue_19234(): + polygon = Polygon(Point(0, 0), Point(0, 1), Point(1, 1), Point(1, 0)) + polys = [ 1, x, y, x*y, x**2*y, x*y**2] + assert polytope_integrate(polygon, polys) == \ + {1: 1, x: S.Half, y: S.Half, x*y: Rational(1, 4), x**2*y: Rational(1, 6), x*y**2: Rational(1, 6)} + polys = [ 1, x, y, x*y, 3 + x**2*y, x + x*y**2] + assert polytope_integrate(polygon, polys) == \ + {1: 1, x: S.Half, y: S.Half, x*y: Rational(1, 4), x**2*y + 3: Rational(19, 6), x*y**2 + x: Rational(2, 3)} diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/integrals/tests/test_laplace.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/integrals/tests/test_laplace.py new file mode 100644 index 0000000000000000000000000000000000000000..cb7222d01e3dcb3e14e8d0564610ab553e637155 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/integrals/tests/test_laplace.py @@ -0,0 +1,774 @@ +from sympy.integrals.laplace import ( + laplace_transform, inverse_laplace_transform, + LaplaceTransform, InverseLaplaceTransform, + _laplace_deep_collect, laplace_correspondence, + laplace_initial_conds) +from sympy.core.function import Function, expand_mul +from sympy.core import EulerGamma, Subs, Derivative, diff +from sympy.core.exprtools import factor_terms +from sympy.core.numbers import I, oo, pi +from sympy.core.relational import Eq +from sympy.core.singleton import S +from sympy.core.symbol import Symbol, symbols +from sympy.simplify.simplify import simplify +from sympy.functions.elementary.complexes import Abs, re +from sympy.functions.elementary.exponential import exp, log, exp_polar +from sympy.functions.elementary.hyperbolic import cosh, sinh, coth, asinh +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.piecewise import Piecewise +from sympy.functions.elementary.trigonometric import atan, cos, sin +from sympy.logic.boolalg import And +from sympy.functions.special.gamma_functions import ( + lowergamma, gamma, uppergamma) +from sympy.functions.special.delta_functions import DiracDelta, Heaviside +from sympy.functions.special.singularity_functions import SingularityFunction +from sympy.functions.special.zeta_functions import lerchphi +from sympy.functions.special.error_functions import ( + fresnelc, fresnels, erf, erfc, Ei, Ci, expint, E1) +from sympy.functions.special.bessel import besseli, besselj, besselk, bessely +from sympy.testing.pytest import slow, warns_deprecated_sympy +from sympy.matrices import Matrix, eye +from sympy.abc import s + + +@slow +def test_laplace_transform(): + LT = laplace_transform + ILT = inverse_laplace_transform + a, b, c = symbols('a, b, c', positive=True) + np = symbols('np', integer=True, positive=True) + t, w, x = symbols('t, w, x') + f = Function('f') + F = Function('F') + g = Function('g') + y = Function('y') + Y = Function('Y') + + # Test helper functions + assert ( + _laplace_deep_collect(exp((t+a)*(t+b)) + + besselj(2, exp((t+a)*(t+b)-t**2)), t) == + exp(a*b + t**2 + t*(a + b)) + besselj(2, exp(a*b + t*(a + b)))) + L = laplace_transform(diff(y(t), t, 3), t, s, noconds=True) + L = laplace_correspondence(L, {y: Y}) + L = laplace_initial_conds(L, t, {y: [2, 4, 8, 16, 32]}) + assert L == s**3*Y(s) - 2*s**2 - 4*s - 8 + # Test whether `noconds=True` in `doit`: + assert (2*LaplaceTransform(exp(t), t, s) - 1).doit() == -1 + 2/(s - 1) + assert (LT(a*t+t**2+t**(S(5)/2), t, s) == + (a/s**2 + 2/s**3 + 15*sqrt(pi)/(8*s**(S(7)/2)), 0, True)) + assert LT(b/(t+a), t, s) == (-b*exp(-a*s)*Ei(-a*s), 0, True) + assert (LT(1/sqrt(t+a), t, s) == + (sqrt(pi)*sqrt(1/s)*exp(a*s)*erfc(sqrt(a)*sqrt(s)), 0, True)) + assert (LT(sqrt(t)/(t+a), t, s) == + (-pi*sqrt(a)*exp(a*s)*erfc(sqrt(a)*sqrt(s)) + sqrt(pi)*sqrt(1/s), + 0, True)) + assert (LT((t+a)**(-S(3)/2), t, s) == + (-2*sqrt(pi)*sqrt(s)*exp(a*s)*erfc(sqrt(a)*sqrt(s)) + 2/sqrt(a), + 0, True)) + assert (LT(t**(S(1)/2)*(t+a)**(-1), t, s) == + (-pi*sqrt(a)*exp(a*s)*erfc(sqrt(a)*sqrt(s)) + sqrt(pi)*sqrt(1/s), + 0, True)) + assert (LT(1/(a*sqrt(t) + t**(3/2)), t, s) == + (pi*sqrt(a)*exp(a*s)*erfc(sqrt(a)*sqrt(s)), 0, True)) + assert (LT((t+a)**b, t, s) == + (s**(-b - 1)*exp(-a*s)*uppergamma(b + 1, a*s), 0, True)) + assert LT(t**5/(t+a), t, s) == (120*a**5*uppergamma(-5, a*s), 0, True) + assert LT(exp(t), t, s) == (1/(s - 1), 1, True) + assert LT(exp(2*t), t, s) == (1/(s - 2), 2, True) + assert LT(exp(a*t), t, s) == (1/(s - a), a, True) + assert LT(exp(a*(t-b)), t, s) == (exp(-a*b)/(-a + s), a, True) + assert LT(t*exp(-a*(t)), t, s) == ((a + s)**(-2), -a, True) + assert LT(t*exp(-a*(t-b)), t, s) == (exp(a*b)/(a + s)**2, -a, True) + assert LT(b*t*exp(-a*t), t, s) == (b/(a + s)**2, -a, True) + assert LT(exp(-a*exp(-t)), t, s) == (lowergamma(s, a)/a**s, 0, True) + assert LT(exp(-a*exp(t)), t, s) == (a**s*uppergamma(-s, a), 0, True) + assert (LT(t**(S(7)/4)*exp(-8*t)/gamma(S(11)/4), t, s) == + ((s + 8)**(-S(11)/4), -8, True)) + assert (LT(t**(S(3)/2)*exp(-8*t), t, s) == + (3*sqrt(pi)/(4*(s + 8)**(S(5)/2)), -8, True)) + assert LT(t**a*exp(-a*t), t, s) == ((a+s)**(-a-1)*gamma(a+1), -a, True) + assert (LT(b*exp(-a*t**2), t, s) == + (sqrt(pi)*b*exp(s**2/(4*a))*erfc(s/(2*sqrt(a)))/(2*sqrt(a)), + 0, True)) + assert (LT(exp(-2*t**2), t, s) == + (sqrt(2)*sqrt(pi)*exp(s**2/8)*erfc(sqrt(2)*s/4)/4, 0, True)) + assert (LT(b*exp(2*t**2), t, s) == + (b*LaplaceTransform(exp(2*t**2), t, s), -oo, True)) + assert (LT(t*exp(-a*t**2), t, s) == + (1/(2*a) - s*erfc(s/(2*sqrt(a)))/(4*sqrt(pi)*a**(S(3)/2)), + 0, True)) + assert (LT(exp(-a/t), t, s) == + (2*sqrt(a)*sqrt(1/s)*besselk(1, 2*sqrt(a)*sqrt(s)), 0, True)) + assert LT(sqrt(t)*exp(-a/t), t, s, simplify=True) == ( + sqrt(pi)*(sqrt(a)*sqrt(s) + 1/S(2))*sqrt(s**(-3)) * + exp(-2*sqrt(a)*sqrt(s)), 0, True) + assert (LT(exp(-a/t)/sqrt(t), t, s) == + (sqrt(pi)*sqrt(1/s)*exp(-2*sqrt(a)*sqrt(s)), 0, True)) + assert (LT(exp(-a/t)/(t*sqrt(t)), t, s) == + (sqrt(pi)*sqrt(1/a)*exp(-2*sqrt(a)*sqrt(s)), 0, True)) + # TODO: rules with sqrt(a*t) and sqrt(a/t) have stopped working after + # changes to as_base_exp + # assert ( + # LT(exp(-2*sqrt(a*t)), t, s) == + # (1/s - sqrt(pi)*sqrt(a) * exp(a/s)*erfc(sqrt(a)*sqrt(1/s)) / + # s**(S(3)/2), 0, True)) + # assert LT(exp(-2*sqrt(a*t))/sqrt(t), t, s) == ( + # exp(a/s)*erfc(sqrt(a) * sqrt(1/s))*(sqrt(pi)*sqrt(1/s)), 0, True) + assert (LT(t**4*exp(-2/t), t, s) == + (8*sqrt(2)*(1/s)**(S(5)/2)*besselk(5, 2*sqrt(2)*sqrt(s)), + 0, True)) + assert LT(sinh(a*t), t, s) == (a/(-a**2 + s**2), a, True) + assert (LT(b*sinh(a*t)**2, t, s) == + (2*a**2*b/(-4*a**2*s + s**3), 2*a, True)) + assert (LT(b*sinh(a*t)**2, t, s, simplify=True) == + (2*a**2*b/(s*(-4*a**2 + s**2)), 2*a, True)) + # The following line confirms that issue #21202 is solved + assert LT(cosh(2*t), t, s) == (s/(-4 + s**2), 2, True) + assert LT(cosh(a*t), t, s) == (s/(-a**2 + s**2), a, True) + assert (LT(cosh(a*t)**2, t, s, simplify=True) == + ((2*a**2 - s**2)/(s*(4*a**2 - s**2)), 2*a, True)) + assert (LT(sinh(x+3), x, s, simplify=True) == + ((s*sinh(3) + cosh(3))/(s**2 - 1), 1, True)) + L, _, _ = LT(42*sin(w*t+x)**2, t, s) + assert ( + L - + 21*(s**2 + s*(-s*cos(2*x) + 2*w*sin(2*x)) + + 4*w**2)/(s*(s**2 + 4*w**2))).simplify() == 0 + # The following line replaces the old test test_issue_7173() + assert LT(sinh(a*t)*cosh(a*t), t, s, simplify=True) == (a/(-4*a**2 + s**2), + 2*a, True) + assert LT(sinh(a*t)/t, t, s) == (log((a + s)/(-a + s))/2, a, True) + assert (LT(t**(-S(3)/2)*sinh(a*t), t, s) == + (-sqrt(pi)*(sqrt(-a + s) - sqrt(a + s)), a, True)) + # assert (LT(sinh(2*sqrt(a*t)), t, s) == + # (sqrt(pi)*sqrt(a)*exp(a/s)/s**(S(3)/2), 0, True)) + # assert (LT(sqrt(t)*sinh(2*sqrt(a*t)), t, s, simplify=True) == + # ((-sqrt(a)*s**(S(5)/2) + sqrt(pi)*s**2*(2*a + s)*exp(a/s) * + # erf(sqrt(a)*sqrt(1/s))/2)/s**(S(9)/2), 0, True)) + # assert (LT(sinh(2*sqrt(a*t))/sqrt(t), t, s) == + # (sqrt(pi)*exp(a/s)*erf(sqrt(a)*sqrt(1/s))/sqrt(s), 0, True)) + # assert (LT(sinh(sqrt(a*t))**2/sqrt(t), t, s) == + # (sqrt(pi)*(exp(a/s) - 1)/(2*sqrt(s)), 0, True)) + assert (LT(t**(S(3)/7)*cosh(a*t), t, s) == + (((a + s)**(-S(10)/7) + (-a+s)**(-S(10)/7))*gamma(S(10)/7)/2, + a, True)) + # assert (LT(cosh(2*sqrt(a*t)), t, s) == + # (sqrt(pi)*sqrt(a)*exp(a/s)*erf(sqrt(a)*sqrt(1/s))/s**(S(3)/2) + + # 1/s, 0, True)) + # assert (LT(sqrt(t)*cosh(2*sqrt(a*t)), t, s) == + # (sqrt(pi)*(a + s/2)*exp(a/s)/s**(S(5)/2), 0, True)) + # assert (LT(cosh(2*sqrt(a*t))/sqrt(t), t, s) == + # (sqrt(pi)*exp(a/s)/sqrt(s), 0, True)) + # assert (LT(cosh(sqrt(a*t))**2/sqrt(t), t, s) == + # (sqrt(pi)*(exp(a/s) + 1)/(2*sqrt(s)), 0, True)) + assert LT(log(t), t, s, simplify=True) == ( + (-log(s) - EulerGamma)/s, 0, True) + assert (LT(-log(t/a), t, s, simplify=True) == + ((log(a) + log(s) + EulerGamma)/s, 0, True)) + assert LT(log(1+a*t), t, s) == (-exp(s/a)*Ei(-s/a)/s, 0, True) + assert (LT(log(t+a), t, s, simplify=True) == + ((s*log(a) - exp(s/a)*Ei(-s/a))/s**2, 0, True)) + assert (LT(log(t)/sqrt(t), t, s, simplify=True) == + (sqrt(pi)*(-log(s) - log(4) - EulerGamma)/sqrt(s), 0, True)) + assert (LT(t**(S(5)/2)*log(t), t, s, simplify=True) == + (sqrt(pi)*(-15*log(s) - log(1073741824) - 15*EulerGamma + 46) / + (8*s**(S(7)/2)), 0, True)) + assert (LT(t**3*log(t), t, s, noconds=True, simplify=True) - + 6*(-log(s) - S.EulerGamma + S(11)/6)/s**4).simplify() == S.Zero + assert (LT(log(t)**2, t, s, simplify=True) == + (((log(s) + EulerGamma)**2 + pi**2/6)/s, 0, True)) + assert (LT(exp(-a*t)*log(t), t, s, simplify=True) == + ((-log(a + s) - EulerGamma)/(a + s), -a, True)) + assert LT(sin(a*t), t, s) == (a/(a**2 + s**2), 0, True) + assert (LT(Abs(sin(a*t)), t, s) == + (a*coth(pi*s/(2*a))/(a**2 + s**2), 0, True)) + assert LT(sin(a*t)/t, t, s) == (atan(a/s), 0, True) + assert LT(sin(a*t)**2/t, t, s) == (log(4*a**2/s**2 + 1)/4, 0, True) + assert (LT(sin(a*t)**2/t**2, t, s) == + (a*atan(2*a/s) - s*log(4*a**2/s**2 + 1)/4, 0, True)) + # assert (LT(sin(2*sqrt(a*t)), t, s) == + # (sqrt(pi)*sqrt(a)*exp(-a/s)/s**(S(3)/2), 0, True)) + # assert LT(sin(2*sqrt(a*t))/t, t, s) == (pi*erf(sqrt(a)*sqrt(1/s)), 0, True) + assert LT(cos(a*t), t, s) == (s/(a**2 + s**2), 0, True) + assert (LT(cos(a*t)**2, t, s) == + ((2*a**2 + s**2)/(s*(4*a**2 + s**2)), 0, True)) + # assert (LT(sqrt(t)*cos(2*sqrt(a*t)), t, s, simplify=True) == + # (sqrt(pi)*(-a + s/2)*exp(-a/s)/s**(S(5)/2), 0, True)) + # assert (LT(cos(2*sqrt(a*t))/sqrt(t), t, s) == + # (sqrt(pi)*sqrt(1/s)*exp(-a/s), 0, True)) + assert (LT(sin(a*t)*sin(b*t), t, s) == + (2*a*b*s/((s**2 + (a - b)**2)*(s**2 + (a + b)**2)), 0, True)) + assert (LT(cos(a*t)*sin(b*t), t, s) == + (b*(-a**2 + b**2 + s**2)/((s**2 + (a - b)**2)*(s**2 + (a + b)**2)), + 0, True)) + assert (LT(cos(a*t)*cos(b*t), t, s) == + (s*(a**2 + b**2 + s**2)/((s**2 + (a - b)**2)*(s**2 + (a + b)**2)), + 0, True)) + assert (LT(-a*t*cos(a*t) + sin(a*t), t, s, simplify=True) == + (2*a**3/(a**4 + 2*a**2*s**2 + s**4), 0, True)) + assert LT(c*exp(-b*t)*sin(a*t), t, s) == (a * + c/(a**2 + (b + s)**2), -b, True) + assert LT(c*exp(-b*t)*cos(a*t), t, s) == (c*(b + s)/(a**2 + (b + s)**2), + -b, True) + L, plane, cond = LT(cos(x + 3), x, s, simplify=True) + assert plane == 0 + assert L - (s*cos(3) - sin(3))/(s**2 + 1) == 0 + # Error functions (laplace7.pdf) + assert LT(erf(a*t), t, s) == (exp(s**2/(4*a**2))*erfc(s/(2*a))/s, 0, True) + # assert LT(erf(sqrt(a*t)), t, s) == (sqrt(a)/(s*sqrt(a + s)), 0, True) + # assert (LT(exp(a*t)*erf(sqrt(a*t)), t, s, simplify=True) == + # (-sqrt(a)/(sqrt(s)*(a - s)), a, True)) + # assert (LT(erf(sqrt(a/t)/2), t, s, simplify=True) == + # (1/s - exp(-sqrt(a)*sqrt(s))/s, 0, True)) + # assert (LT(erfc(sqrt(a*t)), t, s, simplify=True) == + # (-sqrt(a)/(s*sqrt(a + s)) + 1/s, -a, True)) + # assert (LT(exp(a*t)*erfc(sqrt(a*t)), t, s) == + # (1/(sqrt(a)*sqrt(s) + s), 0, True)) + # assert LT(erfc(sqrt(a/t)/2), t, s) == (exp(-sqrt(a)*sqrt(s))/s, 0, True) + # Bessel functions (laplace8.pdf) + assert LT(besselj(0, a*t), t, s) == (1/sqrt(a**2 + s**2), 0, True) + assert (LT(besselj(1, a*t), t, s, simplify=True) == + (a/(a**2 + s**2 + s*sqrt(a**2 + s**2)), 0, True)) + assert (LT(besselj(2, a*t), t, s, simplify=True) == + (a**2/(sqrt(a**2 + s**2)*(s + sqrt(a**2 + s**2))**2), 0, True)) + assert (LT(t*besselj(0, a*t), t, s) == + (s/(a**2 + s**2)**(S(3)/2), 0, True)) + assert (LT(t*besselj(1, a*t), t, s) == + (a/(a**2 + s**2)**(S(3)/2), 0, True)) + assert (LT(t**2*besselj(2, a*t), t, s) == + (3*a**2/(a**2 + s**2)**(S(5)/2), 0, True)) + # assert LT(besselj(0, 2*sqrt(a*t)), t, s) == (exp(-a/s)/s, 0, True) + # assert (LT(t**(S(3)/2)*besselj(3, 2*sqrt(a*t)), t, s) == + # (a**(S(3)/2)*exp(-a/s)/s**4, 0, True)) + assert (LT(besselj(0, a*sqrt(t**2+b*t)), t, s, simplify=True) == + (exp(b*(s - sqrt(a**2 + s**2)))/sqrt(a**2 + s**2), 0, True)) + assert LT(besseli(0, a*t), t, s) == (1/sqrt(-a**2 + s**2), a, True) + assert (LT(besseli(1, a*t), t, s, simplify=True) == + (a/(-a**2 + s**2 + s*sqrt(-a**2 + s**2)), a, True)) + assert (LT(besseli(2, a*t), t, s, simplify=True) == + (a**2/(sqrt(-a**2 + s**2)*(s + sqrt(-a**2 + s**2))**2), a, True)) + assert LT(t*besseli(0, a*t), t, s) == (s/(-a**2 + s**2)**(S(3)/2), a, True) + assert LT(t*besseli(1, a*t), t, s) == (a/(-a**2 + s**2)**(S(3)/2), a, True) + assert (LT(t**2*besseli(2, a*t), t, s) == + (3*a**2/(-a**2 + s**2)**(S(5)/2), a, True)) + # assert (LT(t**(S(3)/2)*besseli(3, 2*sqrt(a*t)), t, s) == + # (a**(S(3)/2)*exp(a/s)/s**4, 0, True)) + assert (LT(bessely(0, a*t), t, s) == + (-2*asinh(s/a)/(pi*sqrt(a**2 + s**2)), 0, True)) + assert (LT(besselk(0, a*t), t, s) == + (log((s + sqrt(-a**2 + s**2))/a)/sqrt(-a**2 + s**2), -a, True)) + assert (LT(sin(a*t)**4, t, s, simplify=True) == + (24*a**4/(s*(64*a**4 + 20*a**2*s**2 + s**4)), 0, True)) + # Test general rules and unevaluated forms + # These all also test whether issue #7219 is solved. + assert LT(Heaviside(t-1)*cos(t-1), t, s) == (s*exp(-s)/(s**2 + 1), 0, True) + assert LT(a*f(t), t, w) == (a*LaplaceTransform(f(t), t, w), -oo, True) + assert (LT(a*Heaviside(t+1)*f(t+1), t, s) == + (a*LaplaceTransform(f(t + 1), t, s), -oo, True)) + assert (LT(a*Heaviside(t-1)*f(t-1), t, s) == + (a*LaplaceTransform(f(t), t, s)*exp(-s), -oo, True)) + assert (LT(b*f(t/a), t, s) == + (a*b*LaplaceTransform(f(t), t, a*s), -oo, True)) + assert LT(exp(-f(x)*t), t, s) == (1/(s + f(x)), -re(f(x)), True) + assert (LT(exp(-a*t)*f(t), t, s) == + (LaplaceTransform(f(t), t, a + s), -oo, True)) + # assert (LT(exp(-a*t)*erfc(sqrt(b/t)/2), t, s) == + # (exp(-sqrt(b)*sqrt(a + s))/(a + s), -a, True)) + assert (LT(sinh(a*t)*f(t), t, s) == + (LaplaceTransform(f(t), t, -a + s)/2 - + LaplaceTransform(f(t), t, a + s)/2, -oo, True)) + assert (LT(sinh(a*t)*t, t, s, simplify=True) == + (2*a*s/(a**4 - 2*a**2*s**2 + s**4), a, True)) + assert (LT(cosh(a*t)*f(t), t, s) == + (LaplaceTransform(f(t), t, -a + s)/2 + + LaplaceTransform(f(t), t, a + s)/2, -oo, True)) + assert (LT(cosh(a*t)*t, t, s, simplify=True) == + (1/(2*(a + s)**2) + 1/(2*(a - s)**2), a, True)) + assert (LT(sin(a*t)*f(t), t, s, simplify=True) == + (I*(-LaplaceTransform(f(t), t, -I*a + s) + + LaplaceTransform(f(t), t, I*a + s))/2, -oo, True)) + assert (LT(sin(f(t)), t, s) == + (LaplaceTransform(sin(f(t)), t, s), -oo, True)) + assert (LT(sin(a*t)*t, t, s, simplify=True) == + (2*a*s/(a**4 + 2*a**2*s**2 + s**4), 0, True)) + assert (LT(cos(a*t)*f(t), t, s) == + (LaplaceTransform(f(t), t, -I*a + s)/2 + + LaplaceTransform(f(t), t, I*a + s)/2, -oo, True)) + assert (LT(cos(a*t)*t, t, s, simplify=True) == + ((-a**2 + s**2)/(a**4 + 2*a**2*s**2 + s**4), 0, True)) + L, plane, _ = LT(sin(a*t+b)**2*f(t), t, s) + assert plane == -oo + assert ( + -L + ( + LaplaceTransform(f(t), t, s)/2 - + LaplaceTransform(f(t), t, -2*I*a + s)*exp(2*I*b)/4 - + LaplaceTransform(f(t), t, 2*I*a + s)*exp(-2*I*b)/4)) == 0 + L = LT(sin(a*t+b)**2*f(t), t, s, noconds=True) + assert ( + laplace_correspondence(L, {f: F}) == + F(s)/2 - F(-2*I*a + s)*exp(2*I*b)/4 - + F(2*I*a + s)*exp(-2*I*b)/4) + L, plane, _ = LT(sin(a*t)**3*cosh(b*t), t, s) + assert plane == b + assert ( + -L - 3*a/(8*(9*a**2 + b**2 + 2*b*s + s**2)) - + 3*a/(8*(9*a**2 + b**2 - 2*b*s + s**2)) + + 3*a/(8*(a**2 + b**2 + 2*b*s + s**2)) + + 3*a/(8*(a**2 + b**2 - 2*b*s + s**2))).simplify() == 0 + assert (LT(t**2*exp(-t**2), t, s) == + (sqrt(pi)*s**2*exp(s**2/4)*erfc(s/2)/8 - s/4 + + sqrt(pi)*exp(s**2/4)*erfc(s/2)/4, 0, True)) + assert (LT((a*t**2 + b*t + c)*f(t), t, s) == + (a*Derivative(LaplaceTransform(f(t), t, s), (s, 2)) - + b*Derivative(LaplaceTransform(f(t), t, s), s) + + c*LaplaceTransform(f(t), t, s), -oo, True)) + assert (LT(t**np*g(t), t, s) == + ((-1)**np*Derivative(LaplaceTransform(g(t), t, s), (s, np)), + -oo, True)) + # The following tests check whether _piecewise_to_heaviside works: + x1 = Piecewise((0, t <= 0), (1, t <= 1), (0, True)) + X1 = LT(x1, t, s)[0] + assert X1 == 1/s - exp(-s)/s + y1 = ILT(X1, s, t) + assert y1 == Heaviside(t) - Heaviside(t - 1) + x1 = Piecewise((0, t <= 0), (t, t <= 1), (2-t, t <= 2), (0, True)) + X1 = LT(x1, t, s)[0].simplify() + assert X1 == (exp(2*s) - 2*exp(s) + 1)*exp(-2*s)/s**2 + y1 = ILT(X1, s, t) + assert ( + -y1 + t*Heaviside(t) + (t - 2)*Heaviside(t - 2) - + 2*(t - 1)*Heaviside(t - 1)).simplify() == 0 + x1 = Piecewise((exp(t), t <= 0), (1, t <= 1), (exp(-(t)), True)) + X1 = LT(x1, t, s)[0] + assert X1 == exp(-1)*exp(-s)/(s + 1) + 1/s - exp(-s)/s + y1 = ILT(X1, s, t) + assert y1 == ( + exp(-1)*exp(1 - t)*Heaviside(t - 1) + Heaviside(t) - Heaviside(t - 1)) + x1 = Piecewise((0, x <= 0), (1, x <= 1), (0, True)) + X1 = LT(x1, t, s)[0] + assert X1 == Piecewise((0, x <= 0), (1, x <= 1), (0, True))/s + x1 = [ + a*Piecewise((1, And(t > 1, t <= 3)), (2, True)), + a*Piecewise((1, And(t >= 1, t <= 3)), (2, True)), + a*Piecewise((1, And(t >= 1, t < 3)), (2, True)), + a*Piecewise((1, And(t > 1, t < 3)), (2, True))] + for x2 in x1: + assert LT(x2, t, s)[0].expand() == 2*a/s - a*exp(-s)/s + a*exp(-3*s)/s + assert ( + LT(Piecewise((1, Eq(t, 1)), (2, True)), t, s)[0] == + LaplaceTransform(Piecewise((1, Eq(t, 1)), (2, True)), t, s)) + # The following lines test whether _laplace_transform successfully + # removes Heaviside(1) before processing espressions. It fails if + # Heaviside(t) remains because then meijerg functions will appear. + X1 = 1/sqrt(a*s**2-b) + x1 = ILT(X1, s, t) + Y1 = LT(x1, t, s)[0] + Z1 = (Y1**2/X1**2).simplify() + assert Z1 == 1 + # The following two lines test whether issues #5813 and #7176 are solved. + assert (LT(diff(f(t), (t, 1)), t, s, noconds=True) == + s*LaplaceTransform(f(t), t, s) - f(0)) + assert (LT(diff(f(t), (t, 3)), t, s, noconds=True) == + s**3*LaplaceTransform(f(t), t, s) - s**2*f(0) - + s*Subs(Derivative(f(t), t), t, 0) - + Subs(Derivative(f(t), (t, 2)), t, 0)) + # Issue #7219 + assert (LT(diff(f(x, t, w), t, 2), t, s) == + (s**2*LaplaceTransform(f(x, t, w), t, s) - s*f(x, 0, w) - + Subs(Derivative(f(x, t, w), t), t, 0), -oo, True)) + # Issue #23307 + assert (LT(10*diff(f(t), (t, 1)), t, s, noconds=True) == + 10*s*LaplaceTransform(f(t), t, s) - 10*f(0)) + assert (LT(a*f(b*t)+g(c*t), t, s, noconds=True) == + a*LaplaceTransform(f(t), t, s/b)/b + + LaplaceTransform(g(t), t, s/c)/c) + assert inverse_laplace_transform( + f(w), w, t, plane=0) == InverseLaplaceTransform(f(w), w, t, 0) + assert (LT(f(t)*g(t), t, s, noconds=True) == + LaplaceTransform(f(t)*g(t), t, s)) + # Issue #24294 + assert (LT(b*f(a*t), t, s, noconds=True) == + b*LaplaceTransform(f(t), t, s/a)/a) + assert LT(3*exp(t)*Heaviside(t), t, s) == (3/(s - 1), 1, True) + assert (LT(2*sin(t)*Heaviside(t), t, s, simplify=True) == + (2/(s**2 + 1), 0, True)) + # Issue #25293 + assert ( + LT((1/(t-1))*sin(4*pi*(t-1))*DiracDelta(t-1) * + (Heaviside(t-1/4) - Heaviside(t-2)), t, s)[0] == 4*pi*exp(-s)) + # additional basic tests from wikipedia + assert (LT((t - a)**b*exp(-c*(t - a))*Heaviside(t - a), t, s) == + ((c + s)**(-b - 1)*exp(-a*s)*gamma(b + 1), -c, True)) + assert ( + LT((exp(2*t)-1)*exp(-b-t)*Heaviside(t)/2, t, s, noconds=True, + simplify=True) == + exp(-b)/(s**2 - 1)) + # DiracDelta function: standard cases + assert LT(DiracDelta(t), t, s) == (1, -oo, True) + assert LT(DiracDelta(a*t), t, s) == (1/a, -oo, True) + assert LT(DiracDelta(t/42), t, s) == (42, -oo, True) + assert LT(DiracDelta(t+42), t, s) == (0, -oo, True) + assert (LT(DiracDelta(t)+DiracDelta(t-42), t, s) == + (1 + exp(-42*s), -oo, True)) + assert (LT(DiracDelta(t)-a*exp(-a*t), t, s, simplify=True) == + (s/(a + s), -a, True)) + assert ( + LT(exp(-t)*(DiracDelta(t)+DiracDelta(t-42)), t, s, simplify=True) == + (exp(-42*s - 42) + 1, -oo, True)) + assert LT(f(t)*DiracDelta(t-42), t, s) == (f(42)*exp(-42*s), -oo, True) + assert LT(f(t)*DiracDelta(b*t-a), t, s) == (f(a/b)*exp(-a*s/b)/b, + -oo, True) + assert LT(f(t)*DiracDelta(b*t+a), t, s) == (0, -oo, True) + # SingularityFunction + assert LT(SingularityFunction(t, a, -1), t, s)[0] == exp(-a*s) + assert LT(SingularityFunction(t, a, 1), t, s)[0] == exp(-a*s)/s**2 + assert LT(SingularityFunction(t, a, x), t, s)[0] == ( + LaplaceTransform(SingularityFunction(t, a, x), t, s)) + # Collection of cases that cannot be fully evaluated and/or would catch + # some common implementation errors + assert (LT(DiracDelta(t**2), t, s, noconds=True) == + LaplaceTransform(DiracDelta(t**2), t, s)) + assert LT(DiracDelta(t**2 - 1), t, s) == (exp(-s)/2, -oo, True) + assert LT(DiracDelta(t*(1 - t)), t, s) == (1 - exp(-s), -oo, True) + assert (LT((DiracDelta(t) + 1)*(DiracDelta(t - 1) + 1), t, s) == + (LaplaceTransform(DiracDelta(t)*DiracDelta(t - 1), t, s) + + 1 + exp(-s) + 1/s, 0, True)) + assert LT(DiracDelta(2*t-2*exp(a)), t, s) == (exp(-s*exp(a))/2, -oo, True) + assert LT(DiracDelta(-2*t+2*exp(a)), t, s) == (exp(-s*exp(a))/2, -oo, True) + # Heaviside tests + assert LT(Heaviside(t), t, s) == (1/s, 0, True) + assert LT(Heaviside(t - a), t, s) == (exp(-a*s)/s, 0, True) + assert LT(Heaviside(t-1), t, s) == (exp(-s)/s, 0, True) + assert LT(Heaviside(2*t-4), t, s) == (exp(-2*s)/s, 0, True) + assert LT(Heaviside(2*t+4), t, s) == (1/s, 0, True) + assert (LT(Heaviside(-2*t+4), t, s, simplify=True) == + (1/s - exp(-2*s)/s, 0, True)) + assert (LT(g(t)*Heaviside(t - w), t, s) == + (LaplaceTransform(g(t)*Heaviside(t - w), t, s), -oo, True)) + assert ( + LT(Heaviside(t-a)*g(t), t, s) == + (LaplaceTransform(g(a + t), t, s)*exp(-a*s), -oo, True)) + assert ( + LT(Heaviside(t+a)*g(t), t, s) == + (LaplaceTransform(g(t), t, s), -oo, True)) + assert ( + LT(Heaviside(-t+a)*g(t), t, s) == + (LaplaceTransform(g(t), t, s) - + LaplaceTransform(g(a + t), t, s)*exp(-a*s), -oo, True)) + assert ( + LT(Heaviside(-t-a)*g(t), t, s) == (0, 0, True)) + # Fresnel functions + assert (laplace_transform(fresnels(t), t, s, simplify=True) == + ((-sin(s**2/(2*pi))*fresnels(s/pi) + + sqrt(2)*sin(s**2/(2*pi) + pi/4)/2 - + cos(s**2/(2*pi))*fresnelc(s/pi))/s, 0, True)) + assert (laplace_transform(fresnelc(t), t, s, simplify=True) == + ((sin(s**2/(2*pi))*fresnelc(s/pi) - + cos(s**2/(2*pi))*fresnels(s/pi) + + sqrt(2)*cos(s**2/(2*pi) + pi/4)/2)/s, 0, True)) + # Matrix tests + Mt = Matrix([[exp(t), t*exp(-t)], [t*exp(-t), exp(t)]]) + Ms = Matrix([[1/(s - 1), (s + 1)**(-2)], + [(s + 1)**(-2), 1/(s - 1)]]) + # The default behaviour for Laplace transform of a Matrix returns a Matrix + # of Tuples and is deprecated: + with warns_deprecated_sympy(): + Ms_conds = Matrix( + [[(1/(s - 1), 1, True), ((s + 1)**(-2), -1, True)], + [((s + 1)**(-2), -1, True), (1/(s - 1), 1, True)]]) + with warns_deprecated_sympy(): + assert LT(Mt, t, s) == Ms_conds + # The new behavior is to return a tuple of a Matrix and the convergence + # conditions for the matrix as a whole: + assert LT(Mt, t, s, legacy_matrix=False) == (Ms, 1, True) + # With noconds=True the transformed matrix is returned without conditions + # either way: + assert LT(Mt, t, s, noconds=True) == Ms + assert LT(Mt, t, s, legacy_matrix=False, noconds=True) == Ms + + +@slow +def test_inverse_laplace_transform(): + s = symbols('s') + k, n, t = symbols('k, n, t', real=True) + a, b, c, d = symbols('a, b, c, d', positive=True) + f = Function('f') + F = Function('F') + + def ILT(g): + return inverse_laplace_transform(g, s, t) + + def ILTS(g): + return inverse_laplace_transform(g, s, t, simplify=True) + + def ILTF(g): + return laplace_correspondence( + inverse_laplace_transform(g, s, t), {f: F}) + + # Tests for the rules in Bateman54. + + # Section 4.1: Some of the Laplace transform rules can also be used well + # in the inverse transform. + assert ILTF(exp(-a*s)*F(s)) == f(-a + t) + assert ILTF(k*F(s-a)) == k*f(t)*exp(-a*t) + assert ILTF(diff(F(s), s, 3)) == -t**3*f(t) + assert ILTF(diff(F(s), s, 4)) == t**4*f(t) + + # Section 5.1: Most rules are impractical for a computer algebra system. + + # Section 5.2: Rational functions + assert ILT(2) == 2*DiracDelta(t) + assert ILT(1/s) == Heaviside(t) + assert ILT(1/s**2) == t*Heaviside(t) + assert ILT(1/s**5) == t**4*Heaviside(t)/24 + assert ILT(1/s**n) == t**(n - 1)*Heaviside(t)/gamma(n) + assert ILT(a/(a + s)) == a*exp(-a*t)*Heaviside(t) + assert ILT(s/(a + s)) == -a*exp(-a*t)*Heaviside(t) + DiracDelta(t) + assert (ILT(b*s/(s+a)**2) == + b*(-a*t*exp(-a*t)*Heaviside(t) + exp(-a*t)*Heaviside(t))) + assert (ILTS(c/((s+a)*(s+b))) == + c*(exp(a*t) - exp(b*t))*exp(-t*(a + b))*Heaviside(t)/(a - b)) + assert (ILTS(c*s/((s+a)*(s+b))) == + c*(a*exp(b*t) - b*exp(a*t))*exp(-t*(a + b))*Heaviside(t)/(a - b)) + assert ILTS(s/(a + s)**3) == t*(-a*t + 2)*exp(-a*t)*Heaviside(t)/2 + assert ILTS(1/(s*(a + s)**3)) == ( + -a**2*t**2 - 2*a*t + 2*exp(a*t) - 2)*exp(-a*t)*Heaviside(t)/(2*a**3) + assert ILT(1/(s*(a + s)**n)) == ( + Heaviside(t)*lowergamma(n, a*t)/(a**n*gamma(n))) + assert ILT((s-a)**(-b)) == t**(b - 1)*exp(a*t)*Heaviside(t)/gamma(b) + assert ILT((a + s)**(-2)) == t*exp(-a*t)*Heaviside(t) + assert ILT((a + s)**(-5)) == t**4*exp(-a*t)*Heaviside(t)/24 + assert ILT(s**2/(s**2 + 1)) == -sin(t)*Heaviside(t) + DiracDelta(t) + assert ILT(1 - 1/(s**2 + 1)) == -sin(t)*Heaviside(t) + DiracDelta(t) + assert ILT(a/(a**2 + s**2)) == sin(a*t)*Heaviside(t) + assert ILT(s/(s**2 + a**2)) == cos(a*t)*Heaviside(t) + assert ILT(b/(b**2 + (a + s)**2)) == exp(-a*t)*sin(b*t)*Heaviside(t) + assert (ILT(b*s/(b**2 + (a + s)**2)) == + b*(-a*exp(-a*t)*sin(b*t)/b + exp(-a*t)*cos(b*t))*Heaviside(t)) + assert ILT(1/(s**2*(s**2 + 1))) == t*Heaviside(t) - sin(t)*Heaviside(t) + assert (ILTS(c*s/(d**2*(s+a)**2+b**2)) == + c*(-a*d*sin(b*t/d) + b*cos(b*t/d))*exp(-a*t)*Heaviside(t)/(b*d**2)) + assert ILTS((b*s**2 + d)/(a**2 + s**2)**2) == ( + 2*a**2*b*sin(a*t) + (a**2*b - d)*(a*t*cos(a*t) - + sin(a*t)))*Heaviside(t)/(2*a**3) + assert ILTS(b/(s**2-a**2)) == b*sinh(a*t)*Heaviside(t)/a + assert (ILT(b/(s**2-a**2)) == + b*(exp(a*t)*Heaviside(t)/(2*a) - exp(-a*t)*Heaviside(t)/(2*a))) + assert ILTS(b*s/(s**2-a**2)) == b*cosh(a*t)*Heaviside(t) + assert (ILT(b/(s*(s+a))) == + b*(Heaviside(t)/a - exp(-a*t)*Heaviside(t)/a)) + # Issue #24424 + assert (ILTS((s + 8)/((s + 2)*(s**2 + 2*s + 10))) == + ((8*sin(3*t) - 9*cos(3*t))*exp(t) + 9)*exp(-2*t)*Heaviside(t)/15) + # Issue #8514; this is not important anymore, since this function + # is not solved by integration anymore + assert (ILT(1/(a*s**2+b*s+c)) == + 2*exp(-b*t/(2*a))*sin(t*sqrt(4*a*c - b**2)/(2*a)) * + Heaviside(t)/sqrt(4*a*c - b**2)) + + # Section 5.3: Irrational algebraic functions + assert ( # (1) + ILT(1/sqrt(s)/(b*s-a)) == + exp(a*t/b)*Heaviside(t)*erf(sqrt(a)*sqrt(t)/sqrt(b))/(sqrt(a)*sqrt(b))) + assert ( # (2) + ILT(1/sqrt(k*s)/(c*s-a)/s) == + (-2*c*sqrt(t)/(sqrt(pi)*a) + + c**(S(3)/2)*exp(a*t/c)*erf(sqrt(a)*sqrt(t)/sqrt(c))/a**(S(3)/2)) * + Heaviside(t)/(c*sqrt(k))) + assert ( # (4) + ILT(1/(sqrt(c*s)+a)) == (-a*exp(a**2*t/c)*erfc(a*sqrt(t)/sqrt(c))/c + + 1/(sqrt(pi)*sqrt(c)*sqrt(t)))*Heaviside(t)) + assert ( # (5) + ILT(a/s/(b*sqrt(s)+a)) == + (-exp(a**2*t/b**2)*erfc(a*sqrt(t)/b) + 1)*Heaviside(t)) + assert ( # (6) + ILT((a-b)*sqrt(s)/(sqrt(s)+sqrt(a))/(s-b)) == + (sqrt(a)*sqrt(b)*exp(b*t)*erfc(sqrt(b)*sqrt(t)) + + a*exp(a*t)*erfc(sqrt(a)*sqrt(t)) - b*exp(b*t))*Heaviside(t)) + assert ( # (7) + ILT(1/sqrt(s)/(sqrt(b*s)+a)) == + exp(a**2*t/b)*Heaviside(t)*erfc(a*sqrt(t)/sqrt(b))/sqrt(b)) + assert ( # (8) + ILT(a**2/(sqrt(s)+a)/s**(S(3)/2)) == + (2*a*sqrt(t)/sqrt(pi) + exp(a**2*t)*erfc(a*sqrt(t)) - 1) * + Heaviside(t)) + assert ( # (9) + ILT((a-b)*sqrt(b)/(s-b)/sqrt(s)/(sqrt(s)+sqrt(a))) == + (sqrt(a)*exp(b*t)*erf(sqrt(b)*sqrt(t)) + + sqrt(b)*exp(a*t)*erfc(sqrt(a)*sqrt(t)) - + sqrt(b)*exp(b*t))*Heaviside(t)) + assert ( # (10) + ILT(1/(sqrt(s)+sqrt(a))**2) == + (-2*sqrt(a)*sqrt(t)/sqrt(pi) + + (-2*a*t + 1)*(erf(sqrt(a)*sqrt(t)) - + 1)*exp(a*t) + 1)*Heaviside(t)) + assert ( # (11) + ILT(1/(sqrt(s)+sqrt(a))**2/s) == + ((2*t - 1/a)*exp(a*t)*erfc(sqrt(a)*sqrt(t)) + 1/a - + 2*sqrt(t)/(sqrt(pi)*sqrt(a)))*Heaviside(t)) + assert ( # (12) + ILT(1/(sqrt(s)+a)**2/sqrt(s)) == + (-2*a*t*exp(a**2*t)*erfc(a*sqrt(t)) + + 2*sqrt(t)/sqrt(pi))*Heaviside(t)) + assert ( # (13) + ILT(1/(sqrt(s)+a)**3) == + (-a*t*(2*a**2*t + 3)*exp(a**2*t)*erfc(a*sqrt(t)) + + 2*sqrt(t)*(a**2*t + 1)/sqrt(pi))*Heaviside(t)) + x = ( + - ILT(sqrt(s)/(sqrt(s)+a)**3) + + 2*(sqrt(pi)*a**2*t*(-2*sqrt(pi)*erfc(a*sqrt(t)) + + 2*exp(-a**2*t)/(a*sqrt(t))) * + (-a**4*t**2 - 5*a**2*t/2 - S.Half) * exp(a**2*t)/2 + + sqrt(pi)*a*sqrt(t)*(a**2*t + 1)/2) * + Heaviside(t)/(pi*a**2*t)).simplify() + assert ( # (14) + x == 0) + x = ( + - ILT(1/sqrt(s)/(sqrt(s)+a)**3) + + Heaviside(t)*(sqrt(t)*((2*a**2*t + 1) * + (sqrt(pi)*a*sqrt(t)*exp(a**2*t) * + erfc(a*sqrt(t)) - 1) + 1) / + (sqrt(pi)*a))).simplify() + assert ( # (15) + x == 0) + assert ( # (16) + factor_terms(ILT(3/(sqrt(s)+a)**4)) == + 3*(-2*a**3*t**(S(5)/2)*(2*a**2*t + 5)/(3*sqrt(pi)) + + t*(4*a**4*t**2 + 12*a**2*t + 3)*exp(a**2*t) * + erfc(a*sqrt(t))/3)*Heaviside(t)) + assert ( # (17) + ILT((sqrt(s)-a)/(s*(sqrt(s)+a))) == + (2*exp(a**2*t)*erfc(a*sqrt(t))-1)*Heaviside(t)) + assert ( # (18) + ILT((sqrt(s)-a)**2/(s*(sqrt(s)+a)**2)) == ( + 1 + 8*a**2*t*exp(a**2*t)*erfc(a*sqrt(t)) - + 8/sqrt(pi)*a*sqrt(t))*Heaviside(t)) + assert ( # (19) + ILT((sqrt(s)-a)**3/(s*(sqrt(s)+a)**3)) == Heaviside(t)*( + 2*(8*a**4*t**2+8*a**2*t+1)*exp(a**2*t) * + erfc(a*sqrt(t))-8/sqrt(pi)*a*sqrt(t)*(2*a**2*t+1)-1)) + assert ( # (22) + ILT(sqrt(s+a)/(s+b)) == Heaviside(t)*( + exp(-a*t)/sqrt(t)/sqrt(pi) + + sqrt(a-b)*exp(-b*t)*erf(sqrt(a-b)*sqrt(t)))) + assert ( # (23) + ILT(1/sqrt(s+b)/(s+a)) == Heaviside(t)*( + 1/sqrt(b-a)*exp(-a*t)*erf(sqrt(b-a)*sqrt(t)))) + assert ( # (35) + ILT(1/sqrt(s**2+a**2)) == Heaviside(t)*( + besselj(0, a*t))) + assert ( # (44) + ILT(1/sqrt(s**2-a**2)) == Heaviside(t)*( + besseli(0, a*t))) + + # Miscellaneous tests + # Can _inverse_laplace_time_shift deal with positive exponents? + assert ( + - ILT((s**2*exp(2*s) + 4*exp(s) - 4)*exp(-2*s)/(s*(s**2 + 1))) + + cos(t)*Heaviside(t) + 4*cos(t - 2)*Heaviside(t - 2) - + 4*cos(t - 1)*Heaviside(t - 1) - 4*Heaviside(t - 2) + + 4*Heaviside(t - 1)).simplify() == 0 + + +@slow +def test_inverse_laplace_transform_old(): + from sympy.functions.special.delta_functions import DiracDelta + ILT = inverse_laplace_transform + a, b, c, d = symbols('a b c d', positive=True) + n, r = symbols('n, r', real=True) + t, z = symbols('t z') + f = Function('f') + F = Function('F') + + def simp_hyp(expr): + return factor_terms(expand_mul(expr)).rewrite(sin) + + L = ILT(F(s), s, t) + assert laplace_correspondence(L, {f: F}) == f(t) + assert ILT(exp(-a*s)/s, s, t) == Heaviside(-a + t) + assert ILT(exp(-a*s)/(b + s), s, t) == exp(-b*(-a + t))*Heaviside(-a + t) + assert (ILT((b + s)/(a**2 + (b + s)**2), s, t) == + exp(-b*t)*cos(a*t)*Heaviside(t)) + assert (ILT(exp(-a*s)/s**b, s, t) == + (-a + t)**(b - 1)*Heaviside(-a + t)/gamma(b)) + assert (ILT(exp(-a*s)/sqrt(s**2 + 1), s, t) == + Heaviside(-a + t)*besselj(0, a - t)) + assert ILT(1/(s*sqrt(s + 1)), s, t) == Heaviside(t)*erf(sqrt(t)) + # TODO sinh/cosh shifted come out a mess. also delayed trig is a mess + # TODO should this simplify further? + assert (ILT(exp(-a*s)/s**b, s, t) == + (t - a)**(b - 1)*Heaviside(t - a)/gamma(b)) + assert (ILT(exp(-a*s)/sqrt(1 + s**2), s, t) == + Heaviside(t - a)*besselj(0, a - t)) # note: besselj(0, x) is even + # XXX ILT turns these branch factor into trig functions ... + assert ( + simplify(ILT(a**b*(s + sqrt(s**2 - a**2))**(-b)/sqrt(s**2 - a**2), + s, t).rewrite(exp)) == + Heaviside(t)*besseli(b, a*t)) + assert ( + ILT(a**b*(s + sqrt(s**2 + a**2))**(-b)/sqrt(s**2 + a**2), + s, t, simplify=True).rewrite(exp) == + Heaviside(t)*besselj(b, a*t)) + assert ILT(1/(s*sqrt(s + 1)), s, t) == Heaviside(t)*erf(sqrt(t)) + # TODO can we make erf(t) work? + assert (ILT((s * eye(2) - Matrix([[1, 0], [0, 2]])).inv(), s, t) == + Matrix([[exp(t)*Heaviside(t), 0], [0, exp(2*t)*Heaviside(t)]])) + # Test time_diff rule + assert (ILT(s**42*f(s), s, t) == + Derivative(InverseLaplaceTransform(f(s), s, t, None), (t, 42))) + assert ILT(cos(s), s, t) == InverseLaplaceTransform(cos(s), s, t, None) + # Rules for testing different DiracDelta cases + assert ( + ILT(1 + 2*s + 3*s**2 + 5*s**3, s, t) == DiracDelta(t) + + 2*DiracDelta(t, 1) + 3*DiracDelta(t, 2) + 5*DiracDelta(t, 3)) + assert (ILT(2*exp(3*s) - 5*exp(-7*s), s, t) == + 2*InverseLaplaceTransform(exp(3*s), s, t, None) - + 5*DiracDelta(t - 7)) + a = cos(sin(7)/2) + assert ILT(a*exp(-3*s), s, t) == a*DiracDelta(t - 3) + assert ILT(exp(2*s), s, t) == InverseLaplaceTransform(exp(2*s), s, t, None) + r = Symbol('r', real=True) + assert ILT(exp(r*s), s, t) == InverseLaplaceTransform(exp(r*s), s, t, None) + # Rules for testing whether Heaviside(t) is treated properly in diff rule + assert ILT(s**2/(a**2 + s**2), s, t) == ( + -a*sin(a*t)*Heaviside(t) + DiracDelta(t)) + assert ILT(s**2*(f(s) + 1/(a**2 + s**2)), s, t) == ( + -a*sin(a*t)*Heaviside(t) + DiracDelta(t) + + Derivative(InverseLaplaceTransform(f(s), s, t, None), (t, 2))) + # Rules from the previous test_inverse_laplace_transform_delta_cond(): + assert (ILT(exp(r*s), s, t, noconds=False) == + (InverseLaplaceTransform(exp(r*s), s, t, None), True)) + # inversion does not exist: verify it doesn't evaluate to DiracDelta + for z in (Symbol('z', extended_real=False), + Symbol('z', imaginary=True, zero=False)): + f = ILT(exp(z*s), s, t, noconds=False) + f = f[0] if isinstance(f, tuple) else f + assert f.func != DiracDelta + + +@slow +def test_expint(): + x = Symbol('x') + a = Symbol('a') + u = Symbol('u', polar=True) + + # TODO LT of Si, Shi, Chi is a mess ... + assert laplace_transform(Ci(x), x, s) == (-log(1 + s**2)/2/s, 0, True) + assert (laplace_transform(expint(a, x), x, s, simplify=True) == + (lerchphi(s*exp_polar(I*pi), 1, a), 0, re(a) > S.Zero)) + assert (laplace_transform(expint(1, x), x, s, simplify=True) == + (log(s + 1)/s, 0, True)) + assert (laplace_transform(expint(2, x), x, s, simplify=True) == + ((s - log(s + 1))/s**2, 0, True)) + assert (inverse_laplace_transform(-log(1 + s**2)/2/s, s, u).expand() == + Heaviside(u)*Ci(u)) + assert ( + inverse_laplace_transform(log(s + 1)/s, s, x, + simplify=True).rewrite(expint) == + Heaviside(x)*E1(x)) + assert ( + inverse_laplace_transform( + (s - log(s + 1))/s**2, s, x, + simplify=True).rewrite(expint).expand() == + (expint(2, x)*Heaviside(x)).rewrite(Ei).rewrite(expint).expand()) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/integrals/tests/test_lineintegrals.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/integrals/tests/test_lineintegrals.py new file mode 100644 index 0000000000000000000000000000000000000000..d0af146b52406a153d033286f3fcfa79334d2a73 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/integrals/tests/test_lineintegrals.py @@ -0,0 +1,13 @@ +from sympy.core.numbers import E +from sympy.core.symbol import symbols +from sympy.functions.elementary.exponential import log +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.geometry.curve import Curve +from sympy.integrals.integrals import line_integrate + +s, t, x, y, z = symbols('s,t,x,y,z') + + +def test_lineintegral(): + c = Curve([E**t + 1, E**t - 1], (t, 0, log(2))) + assert line_integrate(x + y, c, [x, y]) == 3*sqrt(2) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/integrals/tests/test_manual.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/integrals/tests/test_manual.py new file mode 100644 index 0000000000000000000000000000000000000000..74cae4521ec97608a21553e0203be60c210387b3 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/integrals/tests/test_manual.py @@ -0,0 +1,714 @@ +from sympy.core.expr import Expr +from sympy.core.mul import Mul +from sympy.core.function import (Derivative, Function, diff, expand) +from sympy.core.numbers import (I, Rational, pi) +from sympy.core.relational import Ne +from sympy.core.singleton import S +from sympy.core.symbol import (Dummy, Symbol, symbols) +from sympy.functions.elementary.exponential import (exp, log) +from sympy.functions.elementary.hyperbolic import (asinh, csch, cosh, coth, sech, sinh, tanh) +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.piecewise import Piecewise, piecewise_fold +from sympy.functions.elementary.trigonometric import (acos, acot, acsc, asec, asin, atan, cos, cot, csc, sec, sin, tan) +from sympy.functions.special.delta_functions import Heaviside, DiracDelta +from sympy.functions.special.elliptic_integrals import (elliptic_e, elliptic_f) +from sympy.functions.special.error_functions import (Chi, Ci, Ei, Shi, Si, erf, erfi, fresnelc, fresnels, li) +from sympy.functions.special.gamma_functions import uppergamma +from sympy.functions.special.polynomials import (assoc_laguerre, chebyshevt, chebyshevu, gegenbauer, hermite, jacobi, laguerre, legendre) +from sympy.functions.special.zeta_functions import polylog +from sympy.integrals.integrals import (Integral, integrate) +from sympy.logic.boolalg import And +from sympy.integrals.manualintegrate import (manualintegrate, find_substitutions, + _parts_rule, integral_steps, manual_subs) +from sympy.testing.pytest import raises, slow + +x, y, z, u, n, a, b, c, d, e = symbols('x y z u n a b c d e') +f = Function('f') + + +def assert_is_integral_of(f: Expr, F: Expr): + assert manualintegrate(f, x) == F + assert F.diff(x).equals(f) + + +def test_find_substitutions(): + assert find_substitutions((cot(x)**2 + 1)**2*csc(x)**2*cot(x)**2, x, u) == \ + [(cot(x), 1, -u**6 - 2*u**4 - u**2)] + assert find_substitutions((sec(x)**2 + tan(x) * sec(x)) / (sec(x) + tan(x)), + x, u) == [(sec(x) + tan(x), 1, 1/u)] + assert (-x**2, Rational(-1, 2), exp(u)) in find_substitutions(x * exp(-x**2), x, u) + assert not find_substitutions(Derivative(f(x), x)**2, x, u) + + +def test_manualintegrate_polynomials(): + assert manualintegrate(y, x) == x*y + assert manualintegrate(exp(2), x) == x * exp(2) + assert manualintegrate(x**2, x) == x**3 / 3 + assert manualintegrate(3 * x**2 + 4 * x**3, x) == x**3 + x**4 + + assert manualintegrate((x + 2)**3, x) == (x + 2)**4 / 4 + assert manualintegrate((3*x + 4)**2, x) == (3*x + 4)**3 / 9 + + assert manualintegrate((u + 2)**3, u) == (u + 2)**4 / 4 + assert manualintegrate((3*u + 4)**2, u) == (3*u + 4)**3 / 9 + + +def test_manualintegrate_exponentials(): + assert manualintegrate(exp(2*x), x) == exp(2*x) / 2 + assert manualintegrate(2**x, x) == (2 ** x) / log(2) + assert_is_integral_of(1/sqrt(1-exp(2*x)), + log(sqrt(1 - exp(2*x)) - 1)/2 - log(sqrt(1 - exp(2*x)) + 1)/2) + + assert manualintegrate(1 / x, x) == log(x) + assert manualintegrate(1 / (2*x + 3), x) == log(2*x + 3) / 2 + assert manualintegrate(log(x)**2 / x, x) == log(x)**3 / 3 + + assert_is_integral_of(x**x*(log(x)+1), x**x) + + +def test_manualintegrate_parts(): + assert manualintegrate(exp(x) * sin(x), x) == \ + (exp(x) * sin(x)) / 2 - (exp(x) * cos(x)) / 2 + assert manualintegrate(2*x*cos(x), x) == 2*x*sin(x) + 2*cos(x) + assert manualintegrate(x * log(x), x) == x**2*log(x)/2 - x**2/4 + assert manualintegrate(log(x), x) == x * log(x) - x + assert manualintegrate((3*x**2 + 5) * exp(x), x) == \ + 3*x**2*exp(x) - 6*x*exp(x) + 11*exp(x) + assert manualintegrate(atan(x), x) == x*atan(x) - log(x**2 + 1)/2 + + # Make sure _parts_rule doesn't pick u = constant but can pick dv = + # constant if necessary, e.g. for integrate(atan(x)) + assert _parts_rule(cos(x), x) == None + assert _parts_rule(exp(x), x) == None + assert _parts_rule(x**2, x) == None + result = _parts_rule(atan(x), x) + assert result[0] == atan(x) and result[1] == 1 + + +def test_manualintegrate_trigonometry(): + assert manualintegrate(sin(x), x) == -cos(x) + assert manualintegrate(tan(x), x) == -log(cos(x)) + + assert manualintegrate(sec(x), x) == log(sec(x) + tan(x)) + assert manualintegrate(csc(x), x) == -log(csc(x) + cot(x)) + + assert manualintegrate(sin(x) * cos(x), x) in [sin(x) ** 2 / 2, -cos(x)**2 / 2] + assert manualintegrate(-sec(x) * tan(x), x) == -sec(x) + assert manualintegrate(csc(x) * cot(x), x) == -csc(x) + assert manualintegrate(sec(x)**2, x) == tan(x) + assert manualintegrate(csc(x)**2, x) == -cot(x) + + assert manualintegrate(x * sec(x**2), x) == log(tan(x**2) + sec(x**2))/2 + assert manualintegrate(cos(x)*csc(sin(x)), x) == -log(cot(sin(x)) + csc(sin(x))) + assert manualintegrate(cos(3*x)*sec(x), x) == -x + sin(2*x) + assert manualintegrate(sin(3*x)*sec(x), x) == \ + -3*log(cos(x)) + 2*log(cos(x)**2) - 2*cos(x)**2 + + assert_is_integral_of(sinh(2*x), cosh(2*x)/2) + assert_is_integral_of(x*cosh(x**2), sinh(x**2)/2) + assert_is_integral_of(tanh(x), log(cosh(x))) + assert_is_integral_of(coth(x), log(sinh(x))) + f, F = sech(x), 2*atan(tanh(x/2)) + assert manualintegrate(f, x) == F + assert (F.diff(x) - f).rewrite(exp).simplify() == 0 # todo: equals returns None + f, F = csch(x), log(tanh(x/2)) + assert manualintegrate(f, x) == F + assert (F.diff(x) - f).rewrite(exp).simplify() == 0 + + +@slow +def test_manualintegrate_trigpowers(): + assert manualintegrate(sin(x)**2 * cos(x), x) == sin(x)**3 / 3 + assert manualintegrate(sin(x)**2 * cos(x) **2, x) == \ + x / 8 - sin(4*x) / 32 + assert manualintegrate(sin(x) * cos(x)**3, x) == -cos(x)**4 / 4 + assert manualintegrate(sin(x)**3 * cos(x)**2, x) == \ + cos(x)**5 / 5 - cos(x)**3 / 3 + + assert manualintegrate(tan(x)**3 * sec(x), x) == sec(x)**3/3 - sec(x) + assert manualintegrate(tan(x) * sec(x) **2, x) == sec(x)**2/2 + + assert manualintegrate(cot(x)**5 * csc(x), x) == \ + -csc(x)**5/5 + 2*csc(x)**3/3 - csc(x) + assert manualintegrate(cot(x)**2 * csc(x)**6, x) == \ + -cot(x)**7/7 - 2*cot(x)**5/5 - cot(x)**3/3 + + +@slow +def test_manualintegrate_inversetrig(): + # atan + assert manualintegrate(exp(x) / (1 + exp(2*x)), x) == atan(exp(x)) + assert manualintegrate(1 / (4 + 9 * x**2), x) == atan(3 * x/2) / 6 + assert manualintegrate(1 / (16 + 16 * x**2), x) == atan(x) / 16 + assert manualintegrate(1 / (4 + x**2), x) == atan(x / 2) / 2 + assert manualintegrate(1 / (1 + 4 * x**2), x) == atan(2*x) / 2 + ra = Symbol('a', real=True) + rb = Symbol('b', real=True) + assert manualintegrate(1/(ra + rb*x**2), x) == \ + Piecewise((atan(x/sqrt(ra/rb))/(rb*sqrt(ra/rb)), ra/rb > 0), + ((log(x - sqrt(-ra/rb)) - log(x + sqrt(-ra/rb)))/(2*sqrt(rb)*sqrt(-ra)), True)) + assert manualintegrate(1/(4 + rb*x**2), x) == \ + Piecewise((atan(x/(2*sqrt(1/rb)))/(2*rb*sqrt(1/rb)), 1/rb > 0), + (-I*(log(x - 2*sqrt(-1/rb)) - log(x + 2*sqrt(-1/rb)))/(4*sqrt(rb)), True)) + assert manualintegrate(1/(ra + 4*x**2), x) == \ + Piecewise((atan(2*x/sqrt(ra))/(2*sqrt(ra)), ra > 0), + ((log(x - sqrt(-ra)/2) - log(x + sqrt(-ra)/2))/(4*sqrt(-ra)), True)) + assert manualintegrate(1/(4 + 4*x**2), x) == atan(x) / 4 + + assert manualintegrate(1/(a + b*x**2), x) == Piecewise((atan(x/sqrt(a/b))/(b*sqrt(a/b)), Ne(a, 0)), + (-1/(b*x), True)) + + # asin + assert manualintegrate(1/sqrt(1-x**2), x) == asin(x) + assert manualintegrate(1/sqrt(4-4*x**2), x) == asin(x)/2 + assert manualintegrate(3/sqrt(1-9*x**2), x) == asin(3*x) + assert manualintegrate(1/sqrt(4-9*x**2), x) == asin(x*Rational(3, 2))/3 + + # asinh + assert manualintegrate(1/sqrt(x**2 + 1), x) == \ + asinh(x) + assert manualintegrate(1/sqrt(x**2 + 4), x) == \ + asinh(x/2) + assert manualintegrate(1/sqrt(4*x**2 + 4), x) == \ + asinh(x)/2 + assert manualintegrate(1/sqrt(4*x**2 + 1), x) == \ + asinh(2*x)/2 + assert manualintegrate(1/sqrt(ra*x**2 + 1), x) == \ + Piecewise((asin(x*sqrt(-ra))/sqrt(-ra), ra < 0), (asinh(sqrt(ra)*x)/sqrt(ra), ra > 0), (x, True)) + assert manualintegrate(1/sqrt(ra + x**2), x) == \ + Piecewise((asinh(x*sqrt(1/ra)), ra > 0), (log(2*x + 2*sqrt(ra + x**2)), True)) + + # log + assert manualintegrate(1/sqrt(x**2 - 1), x) == log(2*x + 2*sqrt(x**2 - 1)) + assert manualintegrate(1/sqrt(x**2 - 4), x) == log(2*x + 2*sqrt(x**2 - 4)) + assert manualintegrate(1/sqrt(4*x**2 - 4), x) == log(8*x + 4*sqrt(4*x**2 - 4))/2 + assert manualintegrate(1/sqrt(9*x**2 - 1), x) == log(18*x + 6*sqrt(9*x**2 - 1))/3 + assert manualintegrate(1/sqrt(ra*x**2 - 4), x) == \ + Piecewise((log(2*sqrt(ra)*sqrt(ra*x**2 - 4) + 2*ra*x)/sqrt(ra), Ne(ra, 0)), (-I*x/2, True)) + assert manualintegrate(1/sqrt(-ra + 4*x**2), x) == \ + Piecewise((asinh(2*x*sqrt(-1/ra))/2, ra < 0), (log(8*x + 4*sqrt(-ra + 4*x**2))/2, True)) + + # From https://www.wikiwand.com/en/List_of_integrals_of_inverse_trigonometric_functions + # asin + assert manualintegrate(asin(x), x) == x*asin(x) + sqrt(1 - x**2) + assert manualintegrate(asin(a*x), x) == Piecewise(((a*x*asin(a*x) + sqrt(-a**2*x**2 + 1))/a, Ne(a, 0)), (0, True)) + assert manualintegrate(x*asin(a*x), x) == \ + -a*Piecewise((-x*sqrt(-a**2*x**2 + 1)/(2*a**2) + + log(-2*a**2*x + 2*sqrt(-a**2)*sqrt(-a**2*x**2 + 1))/(2*a**2*sqrt(-a**2)), Ne(a**2, 0)), + (x**3/3, True))/2 + x**2*asin(a*x)/2 + # acos + assert manualintegrate(acos(x), x) == x*acos(x) - sqrt(1 - x**2) + assert manualintegrate(acos(a*x), x) == Piecewise(((a*x*acos(a*x) - sqrt(-a**2*x**2 + 1))/a, Ne(a, 0)), (pi*x/2, True)) + assert manualintegrate(x*acos(a*x), x) == \ + a*Piecewise((-x*sqrt(-a**2*x**2 + 1)/(2*a**2) + + log(-2*a**2*x + 2*sqrt(-a**2)*sqrt(-a**2*x**2 + 1))/(2*a**2*sqrt(-a**2)), Ne(a**2, 0)), + (x**3/3, True))/2 + x**2*acos(a*x)/2 + # atan + assert manualintegrate(atan(x), x) == x*atan(x) - log(x**2 + 1)/2 + assert manualintegrate(atan(a*x), x) == Piecewise(((a*x*atan(a*x) - log(a**2*x**2 + 1)/2)/a, Ne(a, 0)), (0, True)) + assert manualintegrate(x*atan(a*x), x) == -a*(x/a**2 - atan(x/sqrt(a**(-2)))/(a**4*sqrt(a**(-2))))/2 + x**2*atan(a*x)/2 + # acsc + assert manualintegrate(acsc(x), x) == x*acsc(x) + Integral(1/(x*sqrt(1 - 1/x**2)), x) + assert manualintegrate(acsc(a*x), x) == x*acsc(a*x) + Integral(1/(x*sqrt(1 - 1/(a**2*x**2))), x)/a + assert manualintegrate(x*acsc(a*x), x) == x**2*acsc(a*x)/2 + Integral(1/sqrt(1 - 1/(a**2*x**2)), x)/(2*a) + # asec + assert manualintegrate(asec(x), x) == x*asec(x) - Integral(1/(x*sqrt(1 - 1/x**2)), x) + assert manualintegrate(asec(a*x), x) == x*asec(a*x) - Integral(1/(x*sqrt(1 - 1/(a**2*x**2))), x)/a + assert manualintegrate(x*asec(a*x), x) == x**2*asec(a*x)/2 - Integral(1/sqrt(1 - 1/(a**2*x**2)), x)/(2*a) + # acot + assert manualintegrate(acot(x), x) == x*acot(x) + log(x**2 + 1)/2 + assert manualintegrate(acot(a*x), x) == Piecewise(((a*x*acot(a*x) + log(a**2*x**2 + 1)/2)/a, Ne(a, 0)), (pi*x/2, True)) + assert manualintegrate(x*acot(a*x), x) == a*(x/a**2 - atan(x/sqrt(a**(-2)))/(a**4*sqrt(a**(-2))))/2 + x**2*acot(a*x)/2 + + # piecewise + assert manualintegrate(1/sqrt(ra-rb*x**2), x) == \ + Piecewise((asin(x*sqrt(rb/ra))/sqrt(rb), And(-rb < 0, ra > 0)), + (asinh(x*sqrt(-rb/ra))/sqrt(-rb), And(-rb > 0, ra > 0)), + (log(-2*rb*x + 2*sqrt(-rb)*sqrt(ra - rb*x**2))/sqrt(-rb), Ne(rb, 0)), + (x/sqrt(ra), True)) + assert manualintegrate(1/sqrt(ra + rb*x**2), x) == \ + Piecewise((asin(x*sqrt(-rb/ra))/sqrt(-rb), And(ra > 0, rb < 0)), + (asinh(x*sqrt(rb/ra))/sqrt(rb), And(ra > 0, rb > 0)), + (log(2*sqrt(rb)*sqrt(ra + rb*x**2) + 2*rb*x)/sqrt(rb), Ne(rb, 0)), + (x/sqrt(ra), True)) + + +def test_manualintegrate_trig_substitution(): + assert manualintegrate(sqrt(16*x**2 - 9)/x, x) == \ + Piecewise((sqrt(16*x**2 - 9) - 3*acos(3/(4*x)), + And(x < Rational(3, 4), x > Rational(-3, 4)))) + assert manualintegrate(1/(x**4 * sqrt(25-x**2)), x) == \ + Piecewise((-sqrt(-x**2/25 + 1)/(125*x) - + (-x**2/25 + 1)**(3*S.Half)/(15*x**3), And(x < 5, x > -5))) + assert manualintegrate(x**7/(49*x**2 + 1)**(3 * S.Half), x) == \ + ((49*x**2 + 1)**(5*S.Half)/28824005 - + (49*x**2 + 1)**(3*S.Half)/5764801 + + 3*sqrt(49*x**2 + 1)/5764801 + 1/(5764801*sqrt(49*x**2 + 1))) + +def test_manualintegrate_trivial_substitution(): + assert manualintegrate((exp(x) - exp(-x))/x, x) == -Ei(-x) + Ei(x) + f = Function('f') + assert manualintegrate((f(x) - f(-x))/x, x) == \ + -Integral(f(-x)/x, x) + Integral(f(x)/x, x) + + +def test_manualintegrate_rational(): + assert manualintegrate(1/(4 - x**2), x) == -log(x - 2)/4 + log(x + 2)/4 + assert manualintegrate(1/(-1 + x**2), x) == log(x - 1)/2 - log(x + 1)/2 + + +def test_manualintegrate_special(): + f, F = 4*exp(-x**2/3), 2*sqrt(3)*sqrt(pi)*erf(sqrt(3)*x/3) + assert_is_integral_of(f, F) + f, F = 3*exp(4*x**2), 3*sqrt(pi)*erfi(2*x)/4 + assert_is_integral_of(f, F) + f, F = x**Rational(1, 3)*exp(-x/8), -16*uppergamma(Rational(4, 3), x/8) + assert_is_integral_of(f, F) + f, F = exp(2*x)/x, Ei(2*x) + assert_is_integral_of(f, F) + f, F = exp(1 + 2*x - x**2), sqrt(pi)*exp(2)*erf(x - 1)/2 + assert_is_integral_of(f, F) + f = sin(x**2 + 4*x + 1) + F = (sqrt(2)*sqrt(pi)*(-sin(3)*fresnelc(sqrt(2)*(2*x + 4)/(2*sqrt(pi))) + + cos(3)*fresnels(sqrt(2)*(2*x + 4)/(2*sqrt(pi))))/2) + assert_is_integral_of(f, F) + f, F = cos(4*x**2), sqrt(2)*sqrt(pi)*fresnelc(2*sqrt(2)*x/sqrt(pi))/4 + assert_is_integral_of(f, F) + f, F = sin(3*x + 2)/x, sin(2)*Ci(3*x) + cos(2)*Si(3*x) + assert_is_integral_of(f, F) + f, F = sinh(3*x - 2)/x, -sinh(2)*Chi(3*x) + cosh(2)*Shi(3*x) + assert_is_integral_of(f, F) + f, F = 5*cos(2*x - 3)/x, 5*cos(3)*Ci(2*x) + 5*sin(3)*Si(2*x) + assert_is_integral_of(f, F) + f, F = cosh(x/2)/x, Chi(x/2) + assert_is_integral_of(f, F) + f, F = cos(x**2)/x, Ci(x**2)/2 + assert_is_integral_of(f, F) + f, F = 1/log(2*x + 1), li(2*x + 1)/2 + assert_is_integral_of(f, F) + f, F = polylog(2, 5*x)/x, polylog(3, 5*x) + assert_is_integral_of(f, F) + f, F = 5/sqrt(3 - 2*sin(x)**2), 5*sqrt(3)*elliptic_f(x, Rational(2, 3))/3 + assert_is_integral_of(f, F) + f, F = sqrt(4 + 9*sin(x)**2), 2*elliptic_e(x, Rational(-9, 4)) + assert_is_integral_of(f, F) + + +def test_manualintegrate_derivative(): + assert manualintegrate(pi * Derivative(x**2 + 2*x + 3), x) == \ + pi * (x**2 + 2*x + 3) + assert manualintegrate(Derivative(x**2 + 2*x + 3, y), x) == \ + Integral(Derivative(x**2 + 2*x + 3, y)) + assert manualintegrate(Derivative(sin(x), x, x, x, y), x) == \ + Derivative(sin(x), x, x, y) + + +def test_manualintegrate_Heaviside(): + assert_is_integral_of(DiracDelta(3*x+2), Heaviside(3*x+2)/3) + assert_is_integral_of(DiracDelta(3*x, 0), Heaviside(3*x)/3) + assert manualintegrate(DiracDelta(a+b*x, 1), x) == \ + Piecewise((DiracDelta(a + b*x)/b, Ne(b, 0)), (x*DiracDelta(a, 1), True)) + assert_is_integral_of(DiracDelta(x/3-1, 2), 3*DiracDelta(x/3-1, 1)) + assert manualintegrate(Heaviside(x), x) == x*Heaviside(x) + assert manualintegrate(x*Heaviside(2), x) == x**2/2 + assert manualintegrate(x*Heaviside(-2), x) == 0 + assert manualintegrate(x*Heaviside( x), x) == x**2*Heaviside( x)/2 + assert manualintegrate(x*Heaviside(-x), x) == x**2*Heaviside(-x)/2 + assert manualintegrate(Heaviside(2*x + 4), x) == (x+2)*Heaviside(2*x + 4) + assert manualintegrate(x*Heaviside(x), x) == x**2*Heaviside(x)/2 + assert manualintegrate(Heaviside(x + 1)*Heaviside(1 - x)*x**2, x) == \ + ((x**3/3 + Rational(1, 3))*Heaviside(x + 1) - Rational(2, 3))*Heaviside(-x + 1) + + y = Symbol('y') + assert manualintegrate(sin(7 + x)*Heaviside(3*x - 7), x) == \ + (- cos(x + 7) + cos(Rational(28, 3)))*Heaviside(3*x - S(7)) + + assert manualintegrate(sin(y + x)*Heaviside(3*x - y), x) == \ + (cos(y*Rational(4, 3)) - cos(x + y))*Heaviside(3*x - y) + + +def test_manualintegrate_orthogonal_poly(): + n = symbols('n') + a, b = 7, Rational(5, 3) + polys = [jacobi(n, a, b, x), gegenbauer(n, a, x), chebyshevt(n, x), + chebyshevu(n, x), legendre(n, x), hermite(n, x), laguerre(n, x), + assoc_laguerre(n, a, x)] + for p in polys: + integral = manualintegrate(p, x) + for deg in [-2, -1, 0, 1, 3, 5, 8]: + # some accept negative "degree", some do not + try: + p_subbed = p.subs(n, deg) + except ValueError: + continue + assert (integral.subs(n, deg).diff(x) - p_subbed).expand() == 0 + + # can also integrate simple expressions with these polynomials + q = x*p.subs(x, 2*x + 1) + integral = manualintegrate(q, x) + for deg in [2, 4, 7]: + assert (integral.subs(n, deg).diff(x) - q.subs(n, deg)).expand() == 0 + + # cannot integrate with respect to any other parameter + t = symbols('t') + for i in range(len(p.args) - 1): + new_args = list(p.args) + new_args[i] = t + assert isinstance(manualintegrate(p.func(*new_args), t), Integral) + + +@slow +def test_issue_6799(): + r, x, phi = map(Symbol, 'r x phi'.split()) + n = Symbol('n', integer=True, positive=True) + + integrand = (cos(n*(x-phi))*cos(n*x)) + limits = (x, -pi, pi) + assert manualintegrate(integrand, x) == \ + ((n*x/2 + sin(2*n*x)/4)*cos(n*phi) - sin(n*phi)*cos(n*x)**2/2)/n + assert r * integrate(integrand, limits).trigsimp() / pi == r * cos(n * phi) + assert not integrate(integrand, limits).has(Dummy) + + +def test_issue_12251(): + assert manualintegrate(x**y, x) == Piecewise( + (x**(y + 1)/(y + 1), Ne(y, -1)), (log(x), True)) + + +def test_issue_3796(): + assert manualintegrate(diff(exp(x + x**2)), x) == exp(x + x**2) + assert integrate(x * exp(x**4), x, risch=False) == -I*sqrt(pi)*erf(I*x**2)/4 + + +def test_manual_true(): + assert integrate(exp(x) * sin(x), x, manual=True) == \ + (exp(x) * sin(x)) / 2 - (exp(x) * cos(x)) / 2 + assert integrate(sin(x) * cos(x), x, manual=True) in \ + [sin(x) ** 2 / 2, -cos(x)**2 / 2] + + +def test_issue_6746(): + y = Symbol('y') + n = Symbol('n') + assert manualintegrate(y**x, x) == Piecewise( + (y**x/log(y), Ne(log(y), 0)), (x, True)) + assert manualintegrate(y**(n*x), x) == Piecewise( + (Piecewise( + (y**(n*x)/log(y), Ne(log(y), 0)), + (n*x, True) + )/n, Ne(n, 0)), + (x, True)) + assert manualintegrate(exp(n*x), x) == Piecewise( + (exp(n*x)/n, Ne(n, 0)), (x, True)) + + y = Symbol('y', positive=True) + assert manualintegrate((y + 1)**x, x) == (y + 1)**x/log(y + 1) + y = Symbol('y', zero=True) + assert manualintegrate((y + 1)**x, x) == x + y = Symbol('y') + n = Symbol('n', nonzero=True) + assert manualintegrate(y**(n*x), x) == Piecewise( + (y**(n*x)/log(y), Ne(log(y), 0)), (n*x, True))/n + y = Symbol('y', positive=True) + assert manualintegrate((y + 1)**(n*x), x) == \ + (y + 1)**(n*x)/(n*log(y + 1)) + a = Symbol('a', negative=True) + b = Symbol('b') + assert manualintegrate(1/(a + b*x**2), x) == atan(x/sqrt(a/b))/(b*sqrt(a/b)) + b = Symbol('b', negative=True) + assert manualintegrate(1/(a + b*x**2), x) == \ + atan(x/(sqrt(-a)*sqrt(-1/b)))/(b*sqrt(-a)*sqrt(-1/b)) + assert manualintegrate(1/((x**a + y**b + 4)*sqrt(a*x**2 + 1)), x) == \ + y**(-b)*Integral(x**(-a)/(y**(-b)*sqrt(a*x**2 + 1) + + x**(-a)*sqrt(a*x**2 + 1) + 4*x**(-a)*y**(-b)*sqrt(a*x**2 + 1)), x) + assert manualintegrate(1/((x**2 + 4)*sqrt(4*x**2 + 1)), x) == \ + Integral(1/((x**2 + 4)*sqrt(4*x**2 + 1)), x) + assert manualintegrate(1/(x - a**x + x*b**2), x) == \ + Integral(1/(-a**x + b**2*x + x), x) + + +@slow +def test_issue_2850(): + assert manualintegrate(asin(x)*log(x), x) == -x*asin(x) - sqrt(-x**2 + 1) \ + + (x*asin(x) + sqrt(-x**2 + 1))*log(x) - Integral(sqrt(-x**2 + 1)/x, x) + assert manualintegrate(acos(x)*log(x), x) == -x*acos(x) + sqrt(-x**2 + 1) + \ + (x*acos(x) - sqrt(-x**2 + 1))*log(x) + Integral(sqrt(-x**2 + 1)/x, x) + assert manualintegrate(atan(x)*log(x), x) == -x*atan(x) + (x*atan(x) - \ + log(x**2 + 1)/2)*log(x) + log(x**2 + 1)/2 + Integral(log(x**2 + 1)/x, x)/2 + + +def test_issue_9462(): + assert manualintegrate(sin(2*x)*exp(x), x) == exp(x)*sin(2*x)/5 - 2*exp(x)*cos(2*x)/5 + assert not integral_steps(sin(2*x)*exp(x), x).contains_dont_know() + assert manualintegrate((x - 3) / (x**2 - 2*x + 2)**2, x) == \ + Integral(x/(x**4 - 4*x**3 + 8*x**2 - 8*x + 4), x) \ + - 3*Integral(1/(x**4 - 4*x**3 + 8*x**2 - 8*x + 4), x) + + +def test_cyclic_parts(): + f = cos(x)*exp(x/4) + F = 16*exp(x/4)*sin(x)/17 + 4*exp(x/4)*cos(x)/17 + assert manualintegrate(f, x) == F and F.diff(x) == f + f = x*cos(x)*exp(x/4) + F = (x*(16*exp(x/4)*sin(x)/17 + 4*exp(x/4)*cos(x)/17) - + 128*exp(x/4)*sin(x)/289 + 240*exp(x/4)*cos(x)/289) + assert manualintegrate(f, x) == F and F.diff(x) == f + + +@slow +def test_issue_10847_slow(): + assert manualintegrate((4*x**4 + 4*x**3 + 16*x**2 + 12*x + 8) + / (x**6 + 2*x**5 + 3*x**4 + 4*x**3 + 3*x**2 + 2*x + 1), x) == \ + 2*x/(x**2 + 1) + 3*atan(x) - 1/(x**2 + 1) - 3/(x + 1) + + +@slow +def test_issue_10847(): + + assert manualintegrate(x**2 / (x**2 - c), x) == \ + c*Piecewise((atan(x/sqrt(-c))/sqrt(-c), Ne(c, 0)), (-1/x, True)) + x + + rc = Symbol('c', real=True) + assert manualintegrate(x**2 / (x**2 - rc), x) == \ + rc*Piecewise((atan(x/sqrt(-rc))/sqrt(-rc), rc < 0), + ((log(-sqrt(rc) + x) - log(sqrt(rc) + x))/(2*sqrt(rc)), True)) + x + + assert manualintegrate(sqrt(x - y) * log(z / x), x) == \ + 4*y**2*Piecewise((atan(sqrt(x - y)/sqrt(y))/sqrt(y), Ne(y, 0)), + (-1/sqrt(x - y), True))/3 - 4*y*sqrt(x - y)/3 + \ + 2*(x - y)**Rational(3, 2)*log(z/x)/3 + 4*(x - y)**Rational(3, 2)/9 + ry = Symbol('y', real=True) + rz = Symbol('z', real=True) + assert manualintegrate(sqrt(x - ry) * log(rz / x), x) == \ + 4*ry**2*Piecewise((atan(sqrt(x - ry)/sqrt(ry))/sqrt(ry), ry > 0), + ((log(-sqrt(-ry) + sqrt(x - ry)) - log(sqrt(-ry) + sqrt(x - ry)))/(2*sqrt(-ry)), True))/3 \ + - 4*ry*sqrt(x - ry)/3 + 2*(x - ry)**Rational(3, 2)*log(rz/x)/3 \ + + 4*(x - ry)**Rational(3, 2)/9 + + assert manualintegrate(sqrt(x) * log(x), x) == 2*x**Rational(3, 2)*log(x)/3 - 4*x**Rational(3, 2)/9 + + result = manualintegrate(sqrt(a*x + b) / x, x) + assert result == Piecewise((-2*b*Piecewise( + (-atan(sqrt(a*x + b)/sqrt(-b))/sqrt(-b), Ne(b, 0)), + (1/sqrt(a*x + b), True)) + 2*sqrt(a*x + b), Ne(a, 0)), + (sqrt(b)*log(x), True)) + assert piecewise_fold(result) == Piecewise( + (2*b*atan(sqrt(a*x + b)/sqrt(-b))/sqrt(-b) + 2*sqrt(a*x + b), Ne(a, 0) & Ne(b, 0)), + (-2*b/sqrt(a*x + b) + 2*sqrt(a*x + b), Ne(a, 0)), + (sqrt(b)*log(x), True)) + + ra = Symbol('a', real=True) + rb = Symbol('b', real=True) + assert manualintegrate(sqrt(ra*x + rb) / x, x) == \ + Piecewise( + (-2*rb*Piecewise( + (-atan(sqrt(ra*x + rb)/sqrt(-rb))/sqrt(-rb), rb < 0), + (-I*(log(-sqrt(rb) + sqrt(ra*x + rb)) - log(sqrt(rb) + sqrt(ra*x + rb)))/(2*sqrt(-rb)), True)) + + 2*sqrt(ra*x + rb), Ne(ra, 0)), + (sqrt(rb)*log(x), True)) + + assert expand(manualintegrate(sqrt(ra*x + rb) / (x + rc), x)) == \ + Piecewise((-2*ra*rc*Piecewise((atan(sqrt(ra*x + rb)/sqrt(ra*rc - rb))/sqrt(ra*rc - rb), ra*rc - rb > 0), + (log(-sqrt(-ra*rc + rb) + sqrt(ra*x + rb))/(2*sqrt(-ra*rc + rb)) - + log(sqrt(-ra*rc + rb) + sqrt(ra*x + rb))/(2*sqrt(-ra*rc + rb)), True)) + + 2*rb*Piecewise((atan(sqrt(ra*x + rb)/sqrt(ra*rc - rb))/sqrt(ra*rc - rb), ra*rc - rb > 0), + (log(-sqrt(-ra*rc + rb) + sqrt(ra*x + rb))/(2*sqrt(-ra*rc + rb)) - + log(sqrt(-ra*rc + rb) + sqrt(ra*x + rb))/(2*sqrt(-ra*rc + rb)), True)) + + 2*sqrt(ra*x + rb), Ne(ra, 0)), (sqrt(rb)*log(rc + x), True)) + + assert manualintegrate(sqrt(2*x + 3) / (x + 1), x) == 2*sqrt(2*x + 3) - log(sqrt(2*x + 3) + 1) + log(sqrt(2*x + 3) - 1) + assert manualintegrate(sqrt(2*x + 3) / 2 * x, x) == (2*x + 3)**Rational(5, 2)/20 - (2*x + 3)**Rational(3, 2)/4 + assert manualintegrate(x**Rational(3,2) * log(x), x) == 2*x**Rational(5,2)*log(x)/5 - 4*x**Rational(5,2)/25 + assert manualintegrate(x**(-3) * log(x), x) == -log(x)/(2*x**2) - 1/(4*x**2) + assert manualintegrate(log(y)/(y**2*(1 - 1/y)), y) == \ + log(y)*log(-1 + 1/y) - Integral(log(-1 + 1/y)/y, y) + + +def test_issue_12899(): + assert manualintegrate(f(x,y).diff(x),y) == Integral(Derivative(f(x,y),x),y) + assert manualintegrate(f(x,y).diff(y).diff(x),y) == Derivative(f(x,y),x) + + +def test_constant_independent_of_symbol(): + assert manualintegrate(Integral(y, (x, 1, 2)), x) == \ + x*Integral(y, (x, 1, 2)) + + +def test_issue_12641(): + assert manualintegrate(sin(2*x), x) == -cos(2*x)/2 + assert manualintegrate(cos(x)*sin(2*x), x) == -2*cos(x)**3/3 + assert manualintegrate((sin(2*x)*cos(x))/(1 + cos(x)), x) == \ + -2*log(cos(x) + 1) - cos(x)**2 + 2*cos(x) + + +@slow +def test_issue_13297(): + assert manualintegrate(sin(x) * cos(x)**5, x) == -cos(x)**6 / 6 + + +def test_issue_14470(): + assert_is_integral_of(1/(x*sqrt(x + 1)), log(sqrt(x + 1) - 1) - log(sqrt(x + 1) + 1)) + + +@slow +def test_issue_9858(): + assert manualintegrate(exp(x)*cos(exp(x)), x) == sin(exp(x)) + assert manualintegrate(exp(2*x)*cos(exp(x)), x) == \ + exp(x)*sin(exp(x)) + cos(exp(x)) + res = manualintegrate(exp(10*x)*sin(exp(x)), x) + assert not res.has(Integral) + assert res.diff(x) == exp(10*x)*sin(exp(x)) + # an example with many similar integrations by parts + assert manualintegrate(sum(x*exp(k*x) for k in range(1, 8)), x) == ( + x*exp(7*x)/7 + x*exp(6*x)/6 + x*exp(5*x)/5 + x*exp(4*x)/4 + + x*exp(3*x)/3 + x*exp(2*x)/2 + x*exp(x) - exp(7*x)/49 -exp(6*x)/36 - + exp(5*x)/25 - exp(4*x)/16 - exp(3*x)/9 - exp(2*x)/4 - exp(x)) + + +def test_issue_8520(): + assert manualintegrate(x/(x**4 + 1), x) == atan(x**2)/2 + assert manualintegrate(x**2/(x**6 + 25), x) == atan(x**3/5)/15 + f = x/(9*x**4 + 4)**2 + assert manualintegrate(f, x).diff(x).factor() == f + + +def test_manual_subs(): + x, y = symbols('x y') + expr = log(x) + exp(x) + # if log(x) is y, then exp(y) is x + assert manual_subs(expr, log(x), y) == y + exp(exp(y)) + # if exp(x) is y, then log(y) need not be x + assert manual_subs(expr, exp(x), y) == log(x) + y + + raises(ValueError, lambda: manual_subs(expr, x)) + raises(ValueError, lambda: manual_subs(expr, exp(x), x, y)) + + +@slow +def test_issue_15471(): + f = log(x)*cos(log(x))/x**Rational(3, 4) + F = -128*x**Rational(1, 4)*sin(log(x))/289 + 240*x**Rational(1, 4)*cos(log(x))/289 + (16*x**Rational(1, 4)*sin(log(x))/17 + 4*x**Rational(1, 4)*cos(log(x))/17)*log(x) + assert_is_integral_of(f, F) + + +def test_quadratic_denom(): + f = (5*x + 2)/(3*x**2 - 2*x + 8) + assert manualintegrate(f, x) == 5*log(3*x**2 - 2*x + 8)/6 + 11*sqrt(23)*atan(3*sqrt(23)*(x - Rational(1, 3))/23)/69 + g = 3/(2*x**2 + 3*x + 1) + assert manualintegrate(g, x) == 3*log(4*x + 2) - 3*log(4*x + 4) + +def test_issue_22757(): + assert manualintegrate(sin(x), y) == y * sin(x) + + +def test_issue_23348(): + steps = integral_steps(tan(x), x) + constant_times_step = steps.substep.substep + assert constant_times_step.integrand == constant_times_step.constant * constant_times_step.other + + +def test_issue_23566(): + i = Integral(1/sqrt(x**2 - 1), (x, -2, -1)).doit(manual=True) + assert i == -log(4 - 2*sqrt(3)) + log(2) + assert str(i.n()) == '1.31695789692482' + + +def test_issue_25093(): + ap = Symbol('ap', positive=True) + an = Symbol('an', negative=True) + assert manualintegrate(exp(a*x**2 + b), x) == sqrt(pi)*exp(b)*erfi(sqrt(a)*x)/(2*sqrt(a)) + assert manualintegrate(exp(ap*x**2 + b), x) == sqrt(pi)*exp(b)*erfi(sqrt(ap)*x)/(2*sqrt(ap)) + assert manualintegrate(exp(an*x**2 + b), x) == -sqrt(pi)*exp(b)*erf(an*x/sqrt(-an))/(2*sqrt(-an)) + assert manualintegrate(sin(a*x**2 + b), x) == ( + sqrt(2)*sqrt(pi)*(sin(b)*fresnelc(sqrt(2)*sqrt(a)*x/sqrt(pi)) + + cos(b)*fresnels(sqrt(2)*sqrt(a)*x/sqrt(pi)))/(2*sqrt(a))) + assert manualintegrate(cos(a*x**2 + b), x) == ( + sqrt(2)*sqrt(pi)*(-sin(b)*fresnels(sqrt(2)*sqrt(a)*x/sqrt(pi)) + + cos(b)*fresnelc(sqrt(2)*sqrt(a)*x/sqrt(pi)))/(2*sqrt(a))) + + +def test_nested_pow(): + assert_is_integral_of(sqrt(x**2), x*sqrt(x**2)/2) + assert_is_integral_of(sqrt(x**(S(5)/3)), 6*x*sqrt(x**(S(5)/3))/11) + assert_is_integral_of(1/sqrt(x**2), x*log(x)/sqrt(x**2)) + assert_is_integral_of(x*sqrt(x**(-4)), x**2*sqrt(x**-4)*log(x)) + f = (c*(a+b*x)**d)**e + F1 = (c*(a + b*x)**d)**e*(a/b + x)/(d*e + 1) + F2 = (c*(a + b*x)**d)**e*(a/b + x)*log(a/b + x) + assert manualintegrate(f, x) == \ + Piecewise((Piecewise((F1, Ne(d*e, -1)), (F2, True)), Ne(b, 0)), (x*(a**d*c)**e, True)) + assert F1.diff(x).equals(f) + assert F2.diff(x).subs(d*e, -1).equals(f) + + +def test_manualintegrate_sqrt_linear(): + assert_is_integral_of((5*x**3+4)/sqrt(2+3*x), + 10*(3*x + 2)**(S(7)/2)/567 - 4*(3*x + 2)**(S(5)/2)/27 + + 40*(3*x + 2)**(S(3)/2)/81 + 136*sqrt(3*x + 2)/81) + assert manualintegrate(x/sqrt(a+b*x)**3, x) == \ + Piecewise((Mul(2, b**-2, a/sqrt(a + b*x) + sqrt(a + b*x)), Ne(b, 0)), (x**2/(2*a**(S(3)/2)), True)) + assert_is_integral_of((sqrt(3*x+3)+1)/((2*x+2)**(1/S(3))+1), + 3*sqrt(6)*(2*x + 2)**(S(7)/6)/14 - 3*sqrt(6)*(2*x + 2)**(S(5)/6)/10 - + 3*sqrt(6)*(2*x + 2)**(S.One/6)/2 + 3*(2*x + 2)**(S(2)/3)/4 - 3*(2*x + 2)**(S.One/3)/2 + + sqrt(6)*sqrt(2*x + 2)/2 + 3*log((2*x + 2)**(S.One/3) + 1)/2 + + 3*sqrt(6)*atan((2*x + 2)**(S.One/6))/2) + assert_is_integral_of(sqrt(x+sqrt(x)), + 2*sqrt(sqrt(x) + x)*(sqrt(x)/12 + x/3 - S(1)/8) + log(2*sqrt(x) + 2*sqrt(sqrt(x) + x) + 1)/8) + assert_is_integral_of(sqrt(2*x+3+sqrt(4*x+5))**3, + sqrt(2*x + sqrt(4*x + 5) + 3) * + (9*x/10 + 11*(4*x + 5)**(S(3)/2)/40 + sqrt(4*x + 5)/40 + (4*x + 5)**2/10 + S(11)/10)/2) + + +def test_manualintegrate_sqrt_quadratic(): + assert_is_integral_of(1/sqrt((x - I)**2-1), log(2*x + 2*sqrt(x**2 - 2*I*x - 2) - 2*I)) + assert_is_integral_of(1/sqrt(3*x**2+4*x+5), sqrt(3)*asinh(3*sqrt(11)*(x + S(2)/3)/11)/3) + assert_is_integral_of(1/sqrt(-3*x**2+4*x+5), sqrt(3)*asin(3*sqrt(19)*(x - S(2)/3)/19)/3) + assert_is_integral_of(1/sqrt(3*x**2+4*x-5), sqrt(3)*log(6*x + 2*sqrt(3)*sqrt(3*x**2 + 4*x - 5) + 4)/3) + assert_is_integral_of(1/sqrt(4*x**2-4*x+1), (x - S.Half)*log(x - S.Half)/(2*sqrt((x - S.Half)**2))) + assert manualintegrate(1/sqrt(a+b*x+c*x**2), x) == \ + Piecewise((log(b + 2*sqrt(c)*sqrt(a + b*x + c*x**2) + 2*c*x)/sqrt(c), Ne(c, 0) & Ne(a - b**2/(4*c), 0)), + ((b/(2*c) + x)*log(b/(2*c) + x)/sqrt(c*(b/(2*c) + x)**2), Ne(c, 0)), + (2*sqrt(a + b*x)/b, Ne(b, 0)), (x/sqrt(a), True)) + + assert_is_integral_of((7*x+6)/sqrt(3*x**2+4*x+5), + 7*sqrt(3*x**2 + 4*x + 5)/3 + 4*sqrt(3)*asinh(3*sqrt(11)*(x + S(2)/3)/11)/9) + assert_is_integral_of((7*x+6)/sqrt(-3*x**2+4*x+5), + -7*sqrt(-3*x**2 + 4*x + 5)/3 + 32*sqrt(3)*asin(3*sqrt(19)*(x - S(2)/3)/19)/9) + assert_is_integral_of((7*x+6)/sqrt(3*x**2+4*x-5), + 7*sqrt(3*x**2 + 4*x - 5)/3 + 4*sqrt(3)*log(6*x + 2*sqrt(3)*sqrt(3*x**2 + 4*x - 5) + 4)/9) + assert manualintegrate((d+e*x)/sqrt(a+b*x+c*x**2), x) == \ + Piecewise(((-b*e/(2*c) + d) * + Piecewise((log(b + 2*sqrt(c)*sqrt(a + b*x + c*x**2) + 2*c*x)/sqrt(c), Ne(a - b**2/(4*c), 0)), + ((b/(2*c) + x)*log(b/(2*c) + x)/sqrt(c*(b/(2*c) + x)**2), True)) + + e*sqrt(a + b*x + c*x**2)/c, Ne(c, 0)), + ((2*d*sqrt(a + b*x) + 2*e*(-a*sqrt(a + b*x) + (a + b*x)**(S(3)/2)/3)/b)/b, Ne(b, 0)), + ((d*x + e*x**2/2)/sqrt(a), True)) + + assert manualintegrate((3*x**3-x**2+2*x-4)/sqrt(x**2-3*x+2), x) == \ + sqrt(x**2 - 3*x + 2)*(x**2 + 13*x/4 + S(101)/8) + 135*log(2*x + 2*sqrt(x**2 - 3*x + 2) - 3)/16 + + assert_is_integral_of(sqrt(53225*x**2-66732*x+23013), + (x/2 - S(16683)/53225)*sqrt(53225*x**2 - 66732*x + 23013) + + 111576969*sqrt(2129)*asinh(53225*x/10563 - S(11122)/3521)/1133160250) + assert manualintegrate(sqrt(a+c*x**2), x) == \ + Piecewise((a*Piecewise((log(2*sqrt(c)*sqrt(a + c*x**2) + 2*c*x)/sqrt(c), Ne(a, 0)), + (x*log(x)/sqrt(c*x**2), True))/2 + x*sqrt(a + c*x**2)/2, Ne(c, 0)), + (sqrt(a)*x, True)) + assert manualintegrate(sqrt(a+b*x+c*x**2), x) == \ + Piecewise(((a/2 - b**2/(8*c)) * + Piecewise((log(b + 2*sqrt(c)*sqrt(a + b*x + c*x**2) + 2*c*x)/sqrt(c), Ne(a - b**2/(4*c), 0)), + ((b/(2*c) + x)*log(b/(2*c) + x)/sqrt(c*(b/(2*c) + x)**2), True)) + + (b/(4*c) + x/2)*sqrt(a + b*x + c*x**2), Ne(c, 0)), + (2*(a + b*x)**(S(3)/2)/(3*b), Ne(b, 0)), + (sqrt(a)*x, True)) + + assert_is_integral_of(x*sqrt(x**2+2*x+4), + (x**2/3 + x/6 + S(5)/6)*sqrt(x**2 + 2*x + 4) - 3*asinh(sqrt(3)*(x + 1)/3)/2) + + +def test_mul_pow_derivative(): + assert_is_integral_of(x*sec(x)*tan(x), x*sec(x) - log(tan(x) + sec(x))) + assert_is_integral_of(x*sec(x)**2, x*tan(x) + log(cos(x))) + assert_is_integral_of(x**3*Derivative(f(x), (x, 4)), + x**3*Derivative(f(x), (x, 3)) - 3*x**2*Derivative(f(x), (x, 2)) + + 6*x*Derivative(f(x), x) - 6*f(x)) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/integrals/tests/test_meijerint.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/integrals/tests/test_meijerint.py new file mode 100644 index 0000000000000000000000000000000000000000..899bc96e63d6dd5bccd52856f15d3085e87d5807 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/integrals/tests/test_meijerint.py @@ -0,0 +1,774 @@ +from sympy.core.function import expand_func +from sympy.core.numbers import (I, Rational, oo, pi) +from sympy.core.singleton import S +from sympy.core.sorting import default_sort_key +from sympy.functions.elementary.complexes import Abs, arg, re, unpolarify +from sympy.functions.elementary.exponential import (exp, exp_polar, log) +from sympy.functions.elementary.hyperbolic import cosh, acosh, sinh +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.piecewise import Piecewise, piecewise_fold +from sympy.functions.elementary.trigonometric import (cos, sin, sinc, asin) +from sympy.functions.special.error_functions import (erf, erfc) +from sympy.functions.special.gamma_functions import (gamma, polygamma) +from sympy.functions.special.hyper import (hyper, meijerg) +from sympy.integrals.integrals import (Integral, integrate) +from sympy.simplify.hyperexpand import hyperexpand +from sympy.simplify.simplify import simplify +from sympy.integrals.meijerint import (_rewrite_single, _rewrite1, + meijerint_indefinite, _inflate_g, _create_lookup_table, + meijerint_definite, meijerint_inversion) +from sympy.testing.pytest import slow +from sympy.core.random import (verify_numerically, + random_complex_number as randcplx) +from sympy.abc import x, y, a, b, c, d, s, t, z + + +def test_rewrite_single(): + def t(expr, c, m): + e = _rewrite_single(meijerg([a], [b], [c], [d], expr), x) + assert e is not None + assert isinstance(e[0][0][2], meijerg) + assert e[0][0][2].argument.as_coeff_mul(x) == (c, (m,)) + + def tn(expr): + assert _rewrite_single(meijerg([a], [b], [c], [d], expr), x) is None + + t(x, 1, x) + t(x**2, 1, x**2) + t(x**2 + y*x**2, y + 1, x**2) + tn(x**2 + x) + tn(x**y) + + def u(expr, x): + from sympy.core.add import Add + r = _rewrite_single(expr, x) + e = Add(*[res[0]*res[2] for res in r[0]]).replace( + exp_polar, exp) # XXX Hack? + assert verify_numerically(e, expr, x) + + u(exp(-x)*sin(x), x) + + # The following has stopped working because hyperexpand changed slightly. + # It is probably not worth fixing + #u(exp(-x)*sin(x)*cos(x), x) + + # This one cannot be done numerically, since it comes out as a g-function + # of argument 4*pi + # NOTE This also tests a bug in inverse mellin transform (which used to + # turn exp(4*pi*I*t) into a factor of exp(4*pi*I)**t instead of + # exp_polar). + #u(exp(x)*sin(x), x) + assert _rewrite_single(exp(x)*sin(x), x) == \ + ([(-sqrt(2)/(2*sqrt(pi)), 0, + meijerg(((Rational(-1, 2), 0, Rational(1, 4), S.Half, Rational(3, 4)), (1,)), + ((), (Rational(-1, 2), 0)), 64*exp_polar(-4*I*pi)/x**4))], True) + + +def test_rewrite1(): + assert _rewrite1(x**3*meijerg([a], [b], [c], [d], x**2 + y*x**2)*5, x) == \ + (5, x**3, [(1, 0, meijerg([a], [b], [c], [d], x**2*(y + 1)))], True) + + +def test_meijerint_indefinite_numerically(): + def t(fac, arg): + g = meijerg([a], [b], [c], [d], arg)*fac + subs = {a: randcplx()/10, b: randcplx()/10 + I, + c: randcplx(), d: randcplx()} + integral = meijerint_indefinite(g, x) + assert integral is not None + assert verify_numerically(g.subs(subs), integral.diff(x).subs(subs), x) + t(1, x) + t(2, x) + t(1, 2*x) + t(1, x**2) + t(5, x**S('3/2')) + t(x**3, x) + t(3*x**S('3/2'), 4*x**S('7/3')) + + +def test_meijerint_definite(): + v, b = meijerint_definite(x, x, 0, 0) + assert v.is_zero and b is True + v, b = meijerint_definite(x, x, oo, oo) + assert v.is_zero and b is True + + +def test_inflate(): + subs = {a: randcplx()/10, b: randcplx()/10 + I, c: randcplx(), + d: randcplx(), y: randcplx()/10} + + def t(a, b, arg, n): + from sympy.core.mul import Mul + m1 = meijerg(a, b, arg) + m2 = Mul(*_inflate_g(m1, n)) + # NOTE: (the random number)**9 must still be on the principal sheet. + # Thus make b&d small to create random numbers of small imaginary part. + return verify_numerically(m1.subs(subs), m2.subs(subs), x, b=0.1, d=-0.1) + assert t([[a], [b]], [[c], [d]], x, 3) + assert t([[a, y], [b]], [[c], [d]], x, 3) + assert t([[a], [b]], [[c, y], [d]], 2*x**3, 3) + + +def test_recursive(): + from sympy.core.symbol import symbols + a, b, c = symbols('a b c', positive=True) + r = exp(-(x - a)**2)*exp(-(x - b)**2) + e = integrate(r, (x, 0, oo), meijerg=True) + assert simplify(e.expand()) == ( + sqrt(2)*sqrt(pi)*( + (erf(sqrt(2)*(a + b)/2) + 1)*exp(-a**2/2 + a*b - b**2/2))/4) + e = integrate(exp(-(x - a)**2)*exp(-(x - b)**2)*exp(c*x), (x, 0, oo), meijerg=True) + assert simplify(e) == ( + sqrt(2)*sqrt(pi)*(erf(sqrt(2)*(2*a + 2*b + c)/4) + 1)*exp(-a**2 - b**2 + + (2*a + 2*b + c)**2/8)/4) + assert simplify(integrate(exp(-(x - a - b - c)**2), (x, 0, oo), meijerg=True)) == \ + sqrt(pi)/2*(1 + erf(a + b + c)) + assert simplify(integrate(exp(-(x + a + b + c)**2), (x, 0, oo), meijerg=True)) == \ + sqrt(pi)/2*(1 - erf(a + b + c)) + + +@slow +def test_meijerint(): + from sympy.core.function import expand + from sympy.core.symbol import symbols + s, t, mu = symbols('s t mu', real=True) + assert integrate(meijerg([], [], [0], [], s*t) + *meijerg([], [], [mu/2], [-mu/2], t**2/4), + (t, 0, oo)).is_Piecewise + s = symbols('s', positive=True) + assert integrate(x**s*meijerg([[], []], [[0], []], x), (x, 0, oo)) == \ + gamma(s + 1) + assert integrate(x**s*meijerg([[], []], [[0], []], x), (x, 0, oo), + meijerg=True) == gamma(s + 1) + assert isinstance(integrate(x**s*meijerg([[], []], [[0], []], x), + (x, 0, oo), meijerg=False), + Integral) + + assert meijerint_indefinite(exp(x), x) == exp(x) + + # TODO what simplifications should be done automatically? + # This tests "extra case" for antecedents_1. + a, b = symbols('a b', positive=True) + assert simplify(meijerint_definite(x**a, x, 0, b)[0]) == \ + b**(a + 1)/(a + 1) + + # This tests various conditions and expansions: + assert meijerint_definite((x + 1)**3*exp(-x), x, 0, oo) == (16, True) + + # Again, how about simplifications? + sigma, mu = symbols('sigma mu', positive=True) + i, c = meijerint_definite(exp(-((x - mu)/(2*sigma))**2), x, 0, oo) + assert simplify(i) == sqrt(pi)*sigma*(2 - erfc(mu/(2*sigma))) + assert c == True + + i, _ = meijerint_definite(exp(-mu*x)*exp(sigma*x), x, 0, oo) + # TODO it would be nice to test the condition + assert simplify(i) == 1/(mu - sigma) + + # Test substitutions to change limits + assert meijerint_definite(exp(x), x, -oo, 2) == (exp(2), True) + # Note: causes a NaN in _check_antecedents + assert expand(meijerint_definite(exp(x), x, 0, I)[0]) == exp(I) - 1 + assert expand(meijerint_definite(exp(-x), x, 0, x)[0]) == \ + 1 - exp(-exp(I*arg(x))*abs(x)) + + # Test -oo to oo + assert meijerint_definite(exp(-x**2), x, -oo, oo) == (sqrt(pi), True) + assert meijerint_definite(exp(-abs(x)), x, -oo, oo) == (2, True) + assert meijerint_definite(exp(-(2*x - 3)**2), x, -oo, oo) == \ + (sqrt(pi)/2, True) + assert meijerint_definite(exp(-abs(2*x - 3)), x, -oo, oo) == (1, True) + assert meijerint_definite(exp(-((x - mu)/sigma)**2/2)/sqrt(2*pi*sigma**2), + x, -oo, oo) == (1, True) + assert meijerint_definite(sinc(x)**2, x, -oo, oo) == (pi, True) + + # Test one of the extra conditions for 2 g-functinos + assert meijerint_definite(exp(-x)*sin(x), x, 0, oo) == (S.Half, True) + + # Test a bug + def res(n): + return (1/(1 + x**2)).diff(x, n).subs(x, 1)*(-1)**n + for n in range(6): + assert integrate(exp(-x)*sin(x)*x**n, (x, 0, oo), meijerg=True) == \ + res(n) + + # This used to test trigexpand... now it is done by linear substitution + assert simplify(integrate(exp(-x)*sin(x + a), (x, 0, oo), meijerg=True) + ) == sqrt(2)*sin(a + pi/4)/2 + + # Test the condition 14 from prudnikov. + # (This is besselj*besselj in disguise, to stop the product from being + # recognised in the tables.) + a, b, s = symbols('a b s') + assert meijerint_definite(meijerg([], [], [a/2], [-a/2], x/4) + *meijerg([], [], [b/2], [-b/2], x/4)*x**(s - 1), x, 0, oo + ) == ( + (4*2**(2*s - 2)*gamma(-2*s + 1)*gamma(a/2 + b/2 + s) + /(gamma(-a/2 + b/2 - s + 1)*gamma(a/2 - b/2 - s + 1) + *gamma(a/2 + b/2 - s + 1)), + (re(s) < 1) & (re(s) < S(1)/2) & (re(a)/2 + re(b)/2 + re(s) > 0))) + + # test a bug + assert integrate(sin(x**a)*sin(x**b), (x, 0, oo), meijerg=True) == \ + Integral(sin(x**a)*sin(x**b), (x, 0, oo)) + + # test better hyperexpand + assert integrate(exp(-x**2)*log(x), (x, 0, oo), meijerg=True) == \ + (sqrt(pi)*polygamma(0, S.Half)/4).expand() + + # Test hyperexpand bug. + from sympy.functions.special.gamma_functions import lowergamma + n = symbols('n', integer=True) + assert simplify(integrate(exp(-x)*x**n, x, meijerg=True)) == \ + lowergamma(n + 1, x) + + # Test a bug with argument 1/x + alpha = symbols('alpha', positive=True) + assert meijerint_definite((2 - x)**alpha*sin(alpha/x), x, 0, 2) == \ + (sqrt(pi)*alpha*gamma(alpha + 1)*meijerg(((), (alpha/2 + S.Half, + alpha/2 + 1)), ((0, 0, S.Half), (Rational(-1, 2),)), alpha**2/16)/4, True) + + # test a bug related to 3016 + a, s = symbols('a s', positive=True) + assert simplify(integrate(x**s*exp(-a*x**2), (x, -oo, oo))) == \ + a**(-s/2 - S.Half)*((-1)**s + 1)*gamma(s/2 + S.Half)/2 + + +def test_bessel(): + from sympy.functions.special.bessel import (besseli, besselj) + assert simplify(integrate(besselj(a, z)*besselj(b, z)/z, (z, 0, oo), + meijerg=True, conds='none')) == \ + 2*sin(pi*(a/2 - b/2))/(pi*(a - b)*(a + b)) + assert simplify(integrate(besselj(a, z)*besselj(a, z)/z, (z, 0, oo), + meijerg=True, conds='none')) == 1/(2*a) + + # TODO more orthogonality integrals + + assert simplify(integrate(sin(z*x)*(x**2 - 1)**(-(y + S.Half)), + (x, 1, oo), meijerg=True, conds='none') + *2/((z/2)**y*sqrt(pi)*gamma(S.Half - y))) == \ + besselj(y, z) + + # Werner Rosenheinrich + # SOME INDEFINITE INTEGRALS OF BESSEL FUNCTIONS + + assert integrate(x*besselj(0, x), x, meijerg=True) == x*besselj(1, x) + assert integrate(x*besseli(0, x), x, meijerg=True) == x*besseli(1, x) + # TODO can do higher powers, but come out as high order ... should they be + # reduced to order 0, 1? + assert integrate(besselj(1, x), x, meijerg=True) == -besselj(0, x) + assert integrate(besselj(1, x)**2/x, x, meijerg=True) == \ + -(besselj(0, x)**2 + besselj(1, x)**2)/2 + # TODO more besseli when tables are extended or recursive mellin works + assert integrate(besselj(0, x)**2/x**2, x, meijerg=True) == \ + -2*x*besselj(0, x)**2 - 2*x*besselj(1, x)**2 \ + + 2*besselj(0, x)*besselj(1, x) - besselj(0, x)**2/x + assert integrate(besselj(0, x)*besselj(1, x), x, meijerg=True) == \ + -besselj(0, x)**2/2 + assert integrate(x**2*besselj(0, x)*besselj(1, x), x, meijerg=True) == \ + x**2*besselj(1, x)**2/2 + assert integrate(besselj(0, x)*besselj(1, x)/x, x, meijerg=True) == \ + (x*besselj(0, x)**2 + x*besselj(1, x)**2 - + besselj(0, x)*besselj(1, x)) + # TODO how does besselj(0, a*x)*besselj(0, b*x) work? + # TODO how does besselj(0, x)**2*besselj(1, x)**2 work? + # TODO sin(x)*besselj(0, x) etc come out a mess + # TODO can x*log(x)*besselj(0, x) be done? + # TODO how does besselj(1, x)*besselj(0, x+a) work? + # TODO more indefinite integrals when struve functions etc are implemented + + # test a substitution + assert integrate(besselj(1, x**2)*x, x, meijerg=True) == \ + -besselj(0, x**2)/2 + + +def test_inversion(): + from sympy.functions.special.bessel import besselj + from sympy.functions.special.delta_functions import Heaviside + + def inv(f): + return piecewise_fold(meijerint_inversion(f, s, t)) + assert inv(1/(s**2 + 1)) == sin(t)*Heaviside(t) + assert inv(s/(s**2 + 1)) == cos(t)*Heaviside(t) + assert inv(exp(-s)/s) == Heaviside(t - 1) + assert inv(1/sqrt(1 + s**2)) == besselj(0, t)*Heaviside(t) + + # Test some antcedents checking. + assert meijerint_inversion(sqrt(s)/sqrt(1 + s**2), s, t) is None + assert inv(exp(s**2)) is None + assert meijerint_inversion(exp(-s**2), s, t) is None + + +def test_inversion_conditional_output(): + from sympy.core.symbol import Symbol + from sympy.integrals.transforms import InverseLaplaceTransform + + a = Symbol('a', positive=True) + F = sqrt(pi/a)*exp(-2*sqrt(a)*sqrt(s)) + f = meijerint_inversion(F, s, t) + assert not f.is_Piecewise + + b = Symbol('b', real=True) + F = F.subs(a, b) + f2 = meijerint_inversion(F, s, t) + assert f2.is_Piecewise + # first piece is same as f + assert f2.args[0][0] == f.subs(a, b) + # last piece is an unevaluated transform + assert f2.args[-1][1] + ILT = InverseLaplaceTransform(F, s, t, None) + assert f2.args[-1][0] == ILT or f2.args[-1][0] == ILT.as_integral + + +def test_inversion_exp_real_nonreal_shift(): + from sympy.core.symbol import Symbol + from sympy.functions.special.delta_functions import DiracDelta + r = Symbol('r', real=True) + c = Symbol('c', extended_real=False) + a = 1 + 2*I + z = Symbol('z') + assert not meijerint_inversion(exp(r*s), s, t).is_Piecewise + assert meijerint_inversion(exp(a*s), s, t) is None + assert meijerint_inversion(exp(c*s), s, t) is None + f = meijerint_inversion(exp(z*s), s, t) + assert f.is_Piecewise + assert isinstance(f.args[0][0], DiracDelta) + + +@slow +def test_lookup_table(): + from sympy.core.random import uniform, randrange + from sympy.core.add import Add + from sympy.integrals.meijerint import z as z_dummy + table = {} + _create_lookup_table(table) + for l in table.values(): + for formula, terms, cond, hint in sorted(l, key=default_sort_key): + subs = {} + for ai in list(formula.free_symbols) + [z_dummy]: + if hasattr(ai, 'properties') and ai.properties: + # these Wilds match positive integers + subs[ai] = randrange(1, 10) + else: + subs[ai] = uniform(1.5, 2.0) + if not isinstance(terms, list): + terms = terms(subs) + + # First test that hyperexpand can do this. + expanded = [hyperexpand(g) for (_, g) in terms] + assert all(x.is_Piecewise or not x.has(meijerg) for x in expanded) + + # Now test that the meijer g-function is indeed as advertised. + expanded = Add(*[f*x for (f, x) in terms]) + a, b = formula.n(subs=subs), expanded.n(subs=subs) + r = min(abs(a), abs(b)) + if r < 1: + assert abs(a - b).n() <= 1e-10 + else: + assert (abs(a - b)/r).n() <= 1e-10 + + +def test_branch_bug(): + from sympy.functions.special.gamma_functions import lowergamma + from sympy.simplify.powsimp import powdenest + # TODO gammasimp cannot prove that the factor is unity + assert powdenest(integrate(erf(x**3), x, meijerg=True).diff(x), + polar=True) == 2*erf(x**3)*gamma(Rational(2, 3))/3/gamma(Rational(5, 3)) + assert integrate(erf(x**3), x, meijerg=True) == \ + 2*x*erf(x**3)*gamma(Rational(2, 3))/(3*gamma(Rational(5, 3))) \ + - 2*gamma(Rational(2, 3))*lowergamma(Rational(2, 3), x**6)/(3*sqrt(pi)*gamma(Rational(5, 3))) + + +def test_linear_subs(): + from sympy.functions.special.bessel import besselj + assert integrate(sin(x - 1), x, meijerg=True) == -cos(1 - x) + assert integrate(besselj(1, x - 1), x, meijerg=True) == -besselj(0, 1 - x) + + +@slow +def test_probability(): + # various integrals from probability theory + from sympy.core.function import expand_mul + from sympy.core.symbol import (Symbol, symbols) + from sympy.simplify.gammasimp import gammasimp + from sympy.simplify.powsimp import powsimp + mu1, mu2 = symbols('mu1 mu2', nonzero=True) + sigma1, sigma2 = symbols('sigma1 sigma2', positive=True) + rate = Symbol('lambda', positive=True) + + def normal(x, mu, sigma): + return 1/sqrt(2*pi*sigma**2)*exp(-(x - mu)**2/2/sigma**2) + + def exponential(x, rate): + return rate*exp(-rate*x) + + assert integrate(normal(x, mu1, sigma1), (x, -oo, oo), meijerg=True) == 1 + assert integrate(x*normal(x, mu1, sigma1), (x, -oo, oo), meijerg=True) == \ + mu1 + assert integrate(x**2*normal(x, mu1, sigma1), (x, -oo, oo), meijerg=True) \ + == mu1**2 + sigma1**2 + assert integrate(x**3*normal(x, mu1, sigma1), (x, -oo, oo), meijerg=True) \ + == mu1**3 + 3*mu1*sigma1**2 + assert integrate(normal(x, mu1, sigma1)*normal(y, mu2, sigma2), + (x, -oo, oo), (y, -oo, oo), meijerg=True) == 1 + assert integrate(x*normal(x, mu1, sigma1)*normal(y, mu2, sigma2), + (x, -oo, oo), (y, -oo, oo), meijerg=True) == mu1 + assert integrate(y*normal(x, mu1, sigma1)*normal(y, mu2, sigma2), + (x, -oo, oo), (y, -oo, oo), meijerg=True) == mu2 + assert integrate(x*y*normal(x, mu1, sigma1)*normal(y, mu2, sigma2), + (x, -oo, oo), (y, -oo, oo), meijerg=True) == mu1*mu2 + assert integrate((x + y + 1)*normal(x, mu1, sigma1)*normal(y, mu2, sigma2), + (x, -oo, oo), (y, -oo, oo), meijerg=True) == 1 + mu1 + mu2 + assert integrate((x + y - 1)*normal(x, mu1, sigma1)*normal(y, mu2, sigma2), + (x, -oo, oo), (y, -oo, oo), meijerg=True) == \ + -1 + mu1 + mu2 + + i = integrate(x**2*normal(x, mu1, sigma1)*normal(y, mu2, sigma2), + (x, -oo, oo), (y, -oo, oo), meijerg=True) + assert not i.has(Abs) + assert simplify(i) == mu1**2 + sigma1**2 + assert integrate(y**2*normal(x, mu1, sigma1)*normal(y, mu2, sigma2), + (x, -oo, oo), (y, -oo, oo), meijerg=True) == \ + sigma2**2 + mu2**2 + + assert integrate(exponential(x, rate), (x, 0, oo), meijerg=True) == 1 + assert integrate(x*exponential(x, rate), (x, 0, oo), meijerg=True) == \ + 1/rate + assert integrate(x**2*exponential(x, rate), (x, 0, oo), meijerg=True) == \ + 2/rate**2 + + def E(expr): + res1 = integrate(expr*exponential(x, rate)*normal(y, mu1, sigma1), + (x, 0, oo), (y, -oo, oo), meijerg=True) + res2 = integrate(expr*exponential(x, rate)*normal(y, mu1, sigma1), + (y, -oo, oo), (x, 0, oo), meijerg=True) + assert expand_mul(res1) == expand_mul(res2) + return res1 + + assert E(1) == 1 + assert E(x*y) == mu1/rate + assert E(x*y**2) == mu1**2/rate + sigma1**2/rate + ans = sigma1**2 + 1/rate**2 + assert simplify(E((x + y + 1)**2) - E(x + y + 1)**2) == ans + assert simplify(E((x + y - 1)**2) - E(x + y - 1)**2) == ans + assert simplify(E((x + y)**2) - E(x + y)**2) == ans + + # Beta' distribution + alpha, beta = symbols('alpha beta', positive=True) + betadist = x**(alpha - 1)*(1 + x)**(-alpha - beta)*gamma(alpha + beta) \ + /gamma(alpha)/gamma(beta) + assert integrate(betadist, (x, 0, oo), meijerg=True) == 1 + i = integrate(x*betadist, (x, 0, oo), meijerg=True, conds='separate') + assert (gammasimp(i[0]), i[1]) == (alpha/(beta - 1), 1 < beta) + j = integrate(x**2*betadist, (x, 0, oo), meijerg=True, conds='separate') + assert j[1] == (beta > 2) + assert gammasimp(j[0] - i[0]**2) == (alpha + beta - 1)*alpha \ + /(beta - 2)/(beta - 1)**2 + + # Beta distribution + # NOTE: this is evaluated using antiderivatives. It also tests that + # meijerint_indefinite returns the simplest possible answer. + a, b = symbols('a b', positive=True) + betadist = x**(a - 1)*(-x + 1)**(b - 1)*gamma(a + b)/(gamma(a)*gamma(b)) + assert simplify(integrate(betadist, (x, 0, 1), meijerg=True)) == 1 + assert simplify(integrate(x*betadist, (x, 0, 1), meijerg=True)) == \ + a/(a + b) + assert simplify(integrate(x**2*betadist, (x, 0, 1), meijerg=True)) == \ + a*(a + 1)/(a + b)/(a + b + 1) + assert simplify(integrate(x**y*betadist, (x, 0, 1), meijerg=True)) == \ + gamma(a + b)*gamma(a + y)/gamma(a)/gamma(a + b + y) + + # Chi distribution + k = Symbol('k', integer=True, positive=True) + chi = 2**(1 - k/2)*x**(k - 1)*exp(-x**2/2)/gamma(k/2) + assert powsimp(integrate(chi, (x, 0, oo), meijerg=True)) == 1 + assert simplify(integrate(x*chi, (x, 0, oo), meijerg=True)) == \ + sqrt(2)*gamma((k + 1)/2)/gamma(k/2) + assert simplify(integrate(x**2*chi, (x, 0, oo), meijerg=True)) == k + + # Chi^2 distribution + chisquared = 2**(-k/2)/gamma(k/2)*x**(k/2 - 1)*exp(-x/2) + assert powsimp(integrate(chisquared, (x, 0, oo), meijerg=True)) == 1 + assert simplify(integrate(x*chisquared, (x, 0, oo), meijerg=True)) == k + assert simplify(integrate(x**2*chisquared, (x, 0, oo), meijerg=True)) == \ + k*(k + 2) + assert gammasimp(integrate(((x - k)/sqrt(2*k))**3*chisquared, (x, 0, oo), + meijerg=True)) == 2*sqrt(2)/sqrt(k) + + # Dagum distribution + a, b, p = symbols('a b p', positive=True) + # XXX (x/b)**a does not work + dagum = a*p/x*(x/b)**(a*p)/(1 + x**a/b**a)**(p + 1) + assert simplify(integrate(dagum, (x, 0, oo), meijerg=True)) == 1 + # XXX conditions are a mess + arg = x*dagum + assert simplify(integrate(arg, (x, 0, oo), meijerg=True, conds='none') + ) == a*b*gamma(1 - 1/a)*gamma(p + 1 + 1/a)/( + (a*p + 1)*gamma(p)) + assert simplify(integrate(x*arg, (x, 0, oo), meijerg=True, conds='none') + ) == a*b**2*gamma(1 - 2/a)*gamma(p + 1 + 2/a)/( + (a*p + 2)*gamma(p)) + + # F-distribution + d1, d2 = symbols('d1 d2', positive=True) + f = sqrt(((d1*x)**d1 * d2**d2)/(d1*x + d2)**(d1 + d2))/x \ + /gamma(d1/2)/gamma(d2/2)*gamma((d1 + d2)/2) + assert simplify(integrate(f, (x, 0, oo), meijerg=True)) == 1 + # TODO conditions are a mess + assert simplify(integrate(x*f, (x, 0, oo), meijerg=True, conds='none') + ) == d2/(d2 - 2) + assert simplify(integrate(x**2*f, (x, 0, oo), meijerg=True, conds='none') + ) == d2**2*(d1 + 2)/d1/(d2 - 4)/(d2 - 2) + + # TODO gamma, rayleigh + + # inverse gaussian + lamda, mu = symbols('lamda mu', positive=True) + dist = sqrt(lamda/2/pi)*x**(Rational(-3, 2))*exp(-lamda*(x - mu)**2/x/2/mu**2) + mysimp = lambda expr: simplify(expr.rewrite(exp)) + assert mysimp(integrate(dist, (x, 0, oo))) == 1 + assert mysimp(integrate(x*dist, (x, 0, oo))) == mu + assert mysimp(integrate((x - mu)**2*dist, (x, 0, oo))) == mu**3/lamda + assert mysimp(integrate((x - mu)**3*dist, (x, 0, oo))) == 3*mu**5/lamda**2 + + # Levi + c = Symbol('c', positive=True) + assert integrate(sqrt(c/2/pi)*exp(-c/2/(x - mu))/(x - mu)**S('3/2'), + (x, mu, oo)) == 1 + # higher moments oo + + # log-logistic + alpha, beta = symbols('alpha beta', positive=True) + distn = (beta/alpha)*x**(beta - 1)/alpha**(beta - 1)/ \ + (1 + x**beta/alpha**beta)**2 + # FIXME: If alpha, beta are not declared as finite the line below hangs + # after the changes in: + # https://github.com/sympy/sympy/pull/16603 + assert simplify(integrate(distn, (x, 0, oo))) == 1 + # NOTE the conditions are a mess, but correctly state beta > 1 + assert simplify(integrate(x*distn, (x, 0, oo), conds='none')) == \ + pi*alpha/beta/sin(pi/beta) + # (similar comment for conditions applies) + assert simplify(integrate(x**y*distn, (x, 0, oo), conds='none')) == \ + pi*alpha**y*y/beta/sin(pi*y/beta) + + # weibull + k = Symbol('k', positive=True) + n = Symbol('n', positive=True) + distn = k/lamda*(x/lamda)**(k - 1)*exp(-(x/lamda)**k) + assert simplify(integrate(distn, (x, 0, oo))) == 1 + assert simplify(integrate(x**n*distn, (x, 0, oo))) == \ + lamda**n*gamma(1 + n/k) + + # rice distribution + from sympy.functions.special.bessel import besseli + nu, sigma = symbols('nu sigma', positive=True) + rice = x/sigma**2*exp(-(x**2 + nu**2)/2/sigma**2)*besseli(0, x*nu/sigma**2) + assert integrate(rice, (x, 0, oo), meijerg=True) == 1 + # can someone verify higher moments? + + # Laplace distribution + mu = Symbol('mu', real=True) + b = Symbol('b', positive=True) + laplace = exp(-abs(x - mu)/b)/2/b + assert integrate(laplace, (x, -oo, oo), meijerg=True) == 1 + assert integrate(x*laplace, (x, -oo, oo), meijerg=True) == mu + assert integrate(x**2*laplace, (x, -oo, oo), meijerg=True) == \ + 2*b**2 + mu**2 + + # TODO are there other distributions supported on (-oo, oo) that we can do? + + # misc tests + k = Symbol('k', positive=True) + assert gammasimp(expand_mul(integrate(log(x)*x**(k - 1)*exp(-x)/gamma(k), + (x, 0, oo)))) == polygamma(0, k) + + +@slow +def test_expint(): + """ Test various exponential integrals. """ + from sympy.core.symbol import Symbol + from sympy.functions.elementary.hyperbolic import sinh + from sympy.functions.special.error_functions import (Chi, Ci, Ei, Shi, Si, expint) + assert simplify(unpolarify(integrate(exp(-z*x)/x**y, (x, 1, oo), + meijerg=True, conds='none' + ).rewrite(expint).expand(func=True))) == expint(y, z) + + assert integrate(exp(-z*x)/x, (x, 1, oo), meijerg=True, + conds='none').rewrite(expint).expand() == \ + expint(1, z) + assert integrate(exp(-z*x)/x**2, (x, 1, oo), meijerg=True, + conds='none').rewrite(expint).expand() == \ + expint(2, z).rewrite(Ei).rewrite(expint) + assert integrate(exp(-z*x)/x**3, (x, 1, oo), meijerg=True, + conds='none').rewrite(expint).expand() == \ + expint(3, z).rewrite(Ei).rewrite(expint).expand() + + t = Symbol('t', positive=True) + assert integrate(-cos(x)/x, (x, t, oo), meijerg=True).expand() == Ci(t) + assert integrate(-sin(x)/x, (x, t, oo), meijerg=True).expand() == \ + Si(t) - pi/2 + assert integrate(sin(x)/x, (x, 0, z), meijerg=True) == Si(z) + assert integrate(sinh(x)/x, (x, 0, z), meijerg=True) == Shi(z) + assert integrate(exp(-x)/x, x, meijerg=True).expand().rewrite(expint) == \ + I*pi - expint(1, x) + assert integrate(exp(-x)/x**2, x, meijerg=True).rewrite(expint).expand() \ + == expint(1, x) - exp(-x)/x - I*pi + + u = Symbol('u', polar=True) + assert integrate(cos(u)/u, u, meijerg=True).expand().as_independent(u)[1] \ + == Ci(u) + assert integrate(cosh(u)/u, u, meijerg=True).expand().as_independent(u)[1] \ + == Chi(u) + + assert integrate(expint(1, x), x, meijerg=True + ).rewrite(expint).expand() == x*expint(1, x) - exp(-x) + assert integrate(expint(2, x), x, meijerg=True + ).rewrite(expint).expand() == \ + -x**2*expint(1, x)/2 + x*exp(-x)/2 - exp(-x)/2 + assert simplify(unpolarify(integrate(expint(y, x), x, + meijerg=True).rewrite(expint).expand(func=True))) == \ + -expint(y + 1, x) + + assert integrate(Si(x), x, meijerg=True) == x*Si(x) + cos(x) + assert integrate(Ci(u), u, meijerg=True).expand() == u*Ci(u) - sin(u) + assert integrate(Shi(x), x, meijerg=True) == x*Shi(x) - cosh(x) + assert integrate(Chi(u), u, meijerg=True).expand() == u*Chi(u) - sinh(u) + + assert integrate(Si(x)*exp(-x), (x, 0, oo), meijerg=True) == pi/4 + assert integrate(expint(1, x)*sin(x), (x, 0, oo), meijerg=True) == log(2)/2 + + +def test_messy(): + from sympy.functions.elementary.hyperbolic import (acosh, acoth) + from sympy.functions.elementary.trigonometric import (asin, atan) + from sympy.functions.special.bessel import besselj + from sympy.functions.special.error_functions import (Chi, E1, Shi, Si) + from sympy.integrals.transforms import (fourier_transform, laplace_transform) + assert (laplace_transform(Si(x), x, s, simplify=True) == + ((-atan(s) + pi/2)/s, 0, True)) + + assert laplace_transform(Shi(x), x, s, simplify=True) == ( + acoth(s)/s, -oo, s**2 > 1) + + # where should the logs be simplified? + assert laplace_transform(Chi(x), x, s, simplify=True) == ( + (log(s**(-2)) - log(1 - 1/s**2))/(2*s), -oo, s**2 > 1) + + # TODO maybe simplify the inequalities? when the simplification + # allows for generators instead of symbols this will work + assert laplace_transform(besselj(a, x), x, s)[1:] == \ + (0, (re(a) > -2) & (re(a) > -1)) + + # NOTE s < 0 can be done, but argument reduction is not good enough yet + ans = fourier_transform(besselj(1, x)/x, x, s, noconds=False) + assert (ans[0].factor(deep=True).expand(), ans[1]) == \ + (Piecewise((0, (s > 1/(2*pi)) | (s < -1/(2*pi))), + (2*sqrt(-4*pi**2*s**2 + 1), True)), s > 0) + # TODO FT(besselj(0,x)) - conditions are messy (but for acceptable reasons) + # - folding could be better + + assert integrate(E1(x)*besselj(0, x), (x, 0, oo), meijerg=True) == \ + log(1 + sqrt(2)) + assert integrate(E1(x)*besselj(1, x), (x, 0, oo), meijerg=True) == \ + log(S.Half + sqrt(2)/2) + + assert integrate(1/x/sqrt(1 - x**2), x, meijerg=True) == \ + Piecewise((-acosh(1/x), abs(x**(-2)) > 1), (I*asin(1/x), True)) + + +def test_issue_6122(): + assert integrate(exp(-I*x**2), (x, -oo, oo), meijerg=True) == \ + -I*sqrt(pi)*exp(I*pi/4) + + +def test_issue_6252(): + expr = 1/x/(a + b*x)**Rational(1, 3) + anti = integrate(expr, x, meijerg=True) + assert not anti.has(hyper) + # XXX the expression is a mess, but actually upon differentiation and + # putting in numerical values seems to work... + + +def test_issue_6348(): + assert integrate(exp(I*x)/(1 + x**2), (x, -oo, oo)).simplify().rewrite(exp) \ + == pi*exp(-1) + + +def test_fresnel(): + from sympy.functions.special.error_functions import (fresnelc, fresnels) + + assert expand_func(integrate(sin(pi*x**2/2), x)) == fresnels(x) + assert expand_func(integrate(cos(pi*x**2/2), x)) == fresnelc(x) + + +def test_issue_6860(): + assert meijerint_indefinite(x**x**x, x) is None + + +def test_issue_7337(): + f = meijerint_indefinite(x*sqrt(2*x + 3), x).together() + assert f == sqrt(2*x + 3)*(2*x**2 + x - 3)/5 + assert f._eval_interval(x, S.NegativeOne, S.One) == Rational(2, 5) + + +def test_issue_8368(): + assert meijerint_indefinite(cosh(x)*exp(-x*t), x) == ( + (-t - 1)*exp(x) + (-t + 1)*exp(-x))*exp(-t*x)/2/(t**2 - 1) + + +def test_issue_10211(): + from sympy.abc import h, w + assert integrate((1/sqrt((y-x)**2 + h**2)**3), (x,0,w), (y,0,w)) == \ + 2*sqrt(1 + w**2/h**2)/h - 2/h + + +def test_issue_11806(): + from sympy.core.symbol import symbols + y, L = symbols('y L', positive=True) + assert integrate(1/sqrt(x**2 + y**2)**3, (x, -L, L)) == \ + 2*L/(y**2*sqrt(L**2 + y**2)) + +def test_issue_10681(): + from sympy.polys.domains.realfield import RR + from sympy.abc import R, r + f = integrate(r**2*(R**2-r**2)**0.5, r, meijerg=True) + g = (1.0/3)*R**1.0*r**3*hyper((-0.5, Rational(3, 2)), (Rational(5, 2),), + r**2*exp_polar(2*I*pi)/R**2) + assert RR.almosteq((f/g).n(), 1.0, 1e-12) + +def test_issue_13536(): + from sympy.core.symbol import Symbol + a = Symbol('a', positive=True) + assert integrate(1/x**2, (x, oo, a)) == -1/a + + +def test_issue_6462(): + from sympy.core.symbol import Symbol + x = Symbol('x') + n = Symbol('n') + # Not the actual issue, still wrong answer for n = 1, but that there is no + # exception + assert integrate(cos(x**n)/x**n, x, meijerg=True).subs(n, 2).equals( + integrate(cos(x**2)/x**2, x, meijerg=True)) + + +def test_indefinite_1_bug(): + assert integrate((b + t)**(-a), t, meijerg=True) == -b*(1 + t/b)**(1 - a)/(a*b**a - b**a) + + +def test_pr_23583(): + # This result is wrong. Check whether new result is correct when this test fail. + assert integrate(1/sqrt((x - I)**2-1), meijerg=True) == \ + Piecewise((acosh(x - I), Abs((x - I)**2) > 1), (-I*asin(x - I), True)) + + +# 25786 +def test_integrate_function_of_square_over_negatives(): + assert integrate(exp(-x**2), (x,-5,0), meijerg=True) == sqrt(pi)/2 * erf(5) + + +def test_issue_25949(): + from sympy.core.symbol import symbols + y = symbols("y", nonzero=True) + assert integrate(cosh(y*(x + 1)), (x, -1, -0.25), meijerg=True) == sinh(0.75*y)/y diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/integrals/tests/test_prde.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/integrals/tests/test_prde.py new file mode 100644 index 0000000000000000000000000000000000000000..a7429ea8634c742eb77cdb26f99b2cb15853cd42 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/integrals/tests/test_prde.py @@ -0,0 +1,322 @@ +"""Most of these tests come from the examples in Bronstein's book.""" +from sympy.integrals.risch import DifferentialExtension, derivation +from sympy.integrals.prde import (prde_normal_denom, prde_special_denom, + prde_linear_constraints, constant_system, prde_spde, prde_no_cancel_b_large, + prde_no_cancel_b_small, limited_integrate_reduce, limited_integrate, + is_deriv_k, is_log_deriv_k_t_radical, parametric_log_deriv_heu, + is_log_deriv_k_t_radical_in_field, param_poly_rischDE, param_rischDE, + prde_cancel_liouvillian) + +from sympy.polys.polymatrix import PolyMatrix as Matrix + +from sympy.core.numbers import Rational +from sympy.core.singleton import S +from sympy.core.symbol import symbols +from sympy.polys.domains.rationalfield import QQ +from sympy.polys.polytools import Poly +from sympy.abc import x, t, n + +t0, t1, t2, t3, k = symbols('t:4 k') + + +def test_prde_normal_denom(): + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(1 + t**2, t)]}) + fa = Poly(1, t) + fd = Poly(x, t) + G = [(Poly(t, t), Poly(1 + t**2, t)), (Poly(1, t), Poly(x + x*t**2, t))] + assert prde_normal_denom(fa, fd, G, DE) == \ + (Poly(x, t, domain='ZZ(x)'), (Poly(1, t, domain='ZZ(x)'), Poly(1, t, + domain='ZZ(x)')), [(Poly(x*t, t, domain='ZZ(x)'), + Poly(t**2 + 1, t, domain='ZZ(x)')), (Poly(1, t, domain='ZZ(x)'), + Poly(t**2 + 1, t, domain='ZZ(x)'))], Poly(1, t, domain='ZZ(x)')) + G = [(Poly(t, t), Poly(t**2 + 2*t + 1, t)), (Poly(x*t, t), + Poly(t**2 + 2*t + 1, t)), (Poly(x*t**2, t), Poly(t**2 + 2*t + 1, t))] + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(t, t)]}) + assert prde_normal_denom(Poly(x, t), Poly(1, t), G, DE) == \ + (Poly(t + 1, t), (Poly((-1 + x)*t + x, t), Poly(1, t, domain='ZZ[x]')), [(Poly(t, t), + Poly(1, t)), (Poly(x*t, t), Poly(1, t, domain='ZZ[x]')), (Poly(x*t**2, t), + Poly(1, t, domain='ZZ[x]'))], Poly(t + 1, t)) + + +def test_prde_special_denom(): + a = Poly(t + 1, t) + ba = Poly(t**2, t) + bd = Poly(1, t) + G = [(Poly(t, t), Poly(1, t)), (Poly(t**2, t), Poly(1, t)), (Poly(t**3, t), Poly(1, t))] + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(t, t)]}) + assert prde_special_denom(a, ba, bd, G, DE) == \ + (Poly(t + 1, t), Poly(t**2, t), [(Poly(t, t), Poly(1, t)), + (Poly(t**2, t), Poly(1, t)), (Poly(t**3, t), Poly(1, t))], Poly(1, t)) + G = [(Poly(t, t), Poly(1, t)), (Poly(1, t), Poly(t, t))] + assert prde_special_denom(Poly(1, t), Poly(t**2, t), Poly(1, t), G, DE) == \ + (Poly(1, t), Poly(t**2 - 1, t), [(Poly(t**2, t), Poly(1, t)), + (Poly(1, t), Poly(1, t))], Poly(t, t)) + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(-2*x*t0, t0)]}) + DE.decrement_level() + G = [(Poly(t, t), Poly(t**2, t)), (Poly(2*t, t), Poly(t, t))] + assert prde_special_denom(Poly(5*x*t + 1, t), Poly(t**2 + 2*x**3*t, t), Poly(t**3 + 2, t), G, DE) == \ + (Poly(5*x*t + 1, t), Poly(0, t, domain='ZZ[x]'), [(Poly(t, t), Poly(t**2, t)), + (Poly(2*t, t), Poly(t, t))], Poly(1, x)) + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly((t**2 + 1)*2*x, t)]}) + G = [(Poly(t + x, t), Poly(t*x, t)), (Poly(2*t, t), Poly(x**2, x))] + assert prde_special_denom(Poly(5*x*t + 1, t), Poly(t**2 + 2*x**3*t, t), Poly(t**3, t), G, DE) == \ + (Poly(5*x*t + 1, t), Poly(0, t, domain='ZZ[x]'), [(Poly(t + x, t), Poly(x*t, t)), + (Poly(2*t, t, x), Poly(x**2, t, x))], Poly(1, t)) + assert prde_special_denom(Poly(t + 1, t), Poly(t**2, t), Poly(t**3, t), G, DE) == \ + (Poly(t + 1, t), Poly(0, t, domain='ZZ[x]'), [(Poly(t + x, t), Poly(x*t, t)), (Poly(2*t, t, x), + Poly(x**2, t, x))], Poly(1, t)) + + +def test_prde_linear_constraints(): + DE = DifferentialExtension(extension={'D': [Poly(1, x)]}) + G = [(Poly(2*x**3 + 3*x + 1, x), Poly(x**2 - 1, x)), (Poly(1, x), Poly(x - 1, x)), + (Poly(1, x), Poly(x + 1, x))] + assert prde_linear_constraints(Poly(1, x), Poly(0, x), G, DE) == \ + ((Poly(2*x, x, domain='QQ'), Poly(0, x, domain='QQ'), Poly(0, x, domain='QQ')), + Matrix([[1, 1, -1], [5, 1, 1]], x)) + G = [(Poly(t, t), Poly(1, t)), (Poly(t**2, t), Poly(1, t)), (Poly(t**3, t), Poly(1, t))] + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(t, t)]}) + assert prde_linear_constraints(Poly(t + 1, t), Poly(t**2, t), G, DE) == \ + ((Poly(t, t, domain='QQ'), Poly(t**2, t, domain='QQ'), Poly(t**3, t, domain='QQ')), + Matrix(0, 3, [], t)) + G = [(Poly(2*x, t), Poly(t, t)), (Poly(-x, t), Poly(t, t))] + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(1/x, t)]}) + assert prde_linear_constraints(Poly(1, t), Poly(0, t), G, DE) == \ + ((Poly(0, t, domain='QQ[x]'), Poly(0, t, domain='QQ[x]')), Matrix([[2*x, -x]], t)) + + +def test_constant_system(): + A = Matrix([[-(x + 3)/(x - 1), (x + 1)/(x - 1), 1], + [-x - 3, x + 1, x - 1], + [2*(x + 3)/(x - 1), 0, 0]], t) + u = Matrix([[(x + 1)/(x - 1)], [x + 1], [0]], t) + DE = DifferentialExtension(extension={'D': [Poly(1, x)]}) + R = QQ.frac_field(x)[t] + assert constant_system(A, u, DE) == \ + (Matrix([[1, 0, 0], + [0, 1, 0], + [0, 0, 0], + [0, 0, 1]], ring=R), Matrix([0, 1, 0, 0], ring=R)) + + +def test_prde_spde(): + D = [Poly(x, t), Poly(-x*t, t)] + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(1/x, t)]}) + # TODO: when bound_degree() can handle this, test degree bound from that too + assert prde_spde(Poly(t, t), Poly(-1/x, t), D, n, DE) == \ + (Poly(t, t), Poly(0, t, domain='ZZ(x)'), + [Poly(2*x, t, domain='ZZ(x)'), Poly(-x, t, domain='ZZ(x)')], + [Poly(-x**2, t, domain='ZZ(x)'), Poly(0, t, domain='ZZ(x)')], n - 1) + + +def test_prde_no_cancel(): + # b large + DE = DifferentialExtension(extension={'D': [Poly(1, x)]}) + assert prde_no_cancel_b_large(Poly(1, x), [Poly(x**2, x), Poly(1, x)], 2, DE) == \ + ([Poly(x**2 - 2*x + 2, x), Poly(1, x)], Matrix([[1, 0, -1, 0], + [0, 1, 0, -1]], x)) + assert prde_no_cancel_b_large(Poly(1, x), [Poly(x**3, x), Poly(1, x)], 3, DE) == \ + ([Poly(x**3 - 3*x**2 + 6*x - 6, x), Poly(1, x)], Matrix([[1, 0, -1, 0], + [0, 1, 0, -1]], x)) + assert prde_no_cancel_b_large(Poly(x, x), [Poly(x**2, x), Poly(1, x)], 1, DE) == \ + ([Poly(x, x, domain='ZZ'), Poly(0, x, domain='ZZ')], Matrix([[1, -1, 0, 0], + [1, 0, -1, 0], + [0, 1, 0, -1]], x)) + # b small + # XXX: Is there a better example of a monomial with D.degree() > 2? + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(t**3 + 1, t)]}) + + # My original q was t**4 + t + 1, but this solution implies q == t**4 + # (c1 = 4), with some of the ci for the original q equal to 0. + G = [Poly(t**6, t), Poly(x*t**5, t), Poly(t**3, t), Poly(x*t**2, t), Poly(1 + x, t)] + R = QQ.frac_field(x)[t] + assert prde_no_cancel_b_small(Poly(x*t, t), G, 4, DE) == \ + ([Poly(t**4/4 - x/12*t**3 + x**2/24*t**2 + (Rational(-11, 12) - x**3/24)*t + x/24, t), + Poly(x/3*t**3 - x**2/6*t**2 + (Rational(-1, 3) + x**3/6)*t - x/6, t), Poly(t, t), + Poly(0, t), Poly(0, t)], Matrix([[1, 0, -1, 0, 0, 0, 0, 0, 0, 0], + [0, 1, Rational(-1, 4), 0, 0, 0, 0, 0, 0, 0], + [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], + [0, 0, 0, 1, 0, 0, 0, 0, 0, 0], + [0, 0, 0, 0, 1, 0, 0, 0, 0, 0], + [1, 0, 0, 0, 0, -1, 0, 0, 0, 0], + [0, 1, 0, 0, 0, 0, -1, 0, 0, 0], + [0, 0, 1, 0, 0, 0, 0, -1, 0, 0], + [0, 0, 0, 1, 0, 0, 0, 0, -1, 0], + [0, 0, 0, 0, 1, 0, 0, 0, 0, -1]], ring=R)) + + # TODO: Add test for deg(b) <= 0 with b small + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(1 + t**2, t)]}) + b = Poly(-1/x**2, t, field=True) # deg(b) == 0 + q = [Poly(x**i*t**j, t, field=True) for i in range(2) for j in range(3)] + h, A = prde_no_cancel_b_small(b, q, 3, DE) + V = A.nullspace() + R = QQ.frac_field(x)[t] + assert len(V) == 1 + assert V[0] == Matrix([Rational(-1, 2), 0, 0, 1, 0, 0]*3, ring=R) + assert (Matrix([h])*V[0][6:, :])[0] == Poly(x**2/2, t, domain='QQ(x)') + assert (Matrix([q])*V[0][:6, :])[0] == Poly(x - S.Half, t, domain='QQ(x)') + + +def test_prde_cancel_liouvillian(): + ### 1. case == 'primitive' + # used when integrating f = log(x) - log(x - 1) + # Not taken from 'the' book + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(1/x, t)]}) + p0 = Poly(0, t, field=True) + p1 = Poly((x - 1)*t, t, domain='ZZ(x)') + p2 = Poly(x - 1, t, domain='ZZ(x)') + p3 = Poly(-x**2 + x, t, domain='ZZ(x)') + h, A = prde_cancel_liouvillian(Poly(-1/(x - 1), t), [Poly(-x + 1, t), Poly(1, t)], 1, DE) + V = A.nullspace() + assert h == [p0, p0, p1, p0, p0, p0, p0, p0, p0, p0, p2, p3, p0, p0, p0, p0] + assert A.rank() == 16 + assert (Matrix([h])*V[0][:16, :]) == Matrix([[Poly(0, t, domain='QQ(x)')]]) + + ### 2. case == 'exp' + # used when integrating log(x/exp(x) + 1) + # Not taken from book + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(-t, t)]}) + assert prde_cancel_liouvillian(Poly(0, t, domain='QQ[x]'), [Poly(1, t, domain='QQ(x)')], 0, DE) == \ + ([Poly(1, t, domain='QQ'), Poly(x, t, domain='ZZ(x)')], Matrix([[-1, 0, 1]], DE.t)) + + +def test_param_poly_rischDE(): + DE = DifferentialExtension(extension={'D': [Poly(1, x)]}) + a = Poly(x**2 - x, x, field=True) + b = Poly(1, x, field=True) + q = [Poly(x, x, field=True), Poly(x**2, x, field=True)] + h, A = param_poly_rischDE(a, b, q, 3, DE) + + assert A.nullspace() == [Matrix([0, 1, 1, 1], DE.t)] # c1, c2, d1, d2 + # Solution of a*Dp + b*p = c1*q1 + c2*q2 = q2 = x**2 + # is d1*h1 + d2*h2 = h1 + h2 = x. + assert h[0] + h[1] == Poly(x, x, domain='QQ') + # a*Dp + b*p = q1 = x has no solution. + + a = Poly(x**2 - x, x, field=True) + b = Poly(x**2 - 5*x + 3, x, field=True) + q = [Poly(1, x, field=True), Poly(x, x, field=True), + Poly(x**2, x, field=True)] + h, A = param_poly_rischDE(a, b, q, 3, DE) + + assert A.nullspace() == [Matrix([3, -5, 1, -5, 1, 1], DE.t)] + p = -Poly(5, DE.t)*h[0] + h[1] + h[2] # Poly(1, x) + assert a*derivation(p, DE) + b*p == Poly(x**2 - 5*x + 3, x, domain='QQ') + + +def test_param_rischDE(): + DE = DifferentialExtension(extension={'D': [Poly(1, x)]}) + p1, px = Poly(1, x, field=True), Poly(x, x, field=True) + G = [(p1, px), (p1, p1), (px, p1)] # [1/x, 1, x] + h, A = param_rischDE(-p1, Poly(x**2, x, field=True), G, DE) + assert len(h) == 3 + p = [hi[0].as_expr()/hi[1].as_expr() for hi in h] + V = A.nullspace() + assert len(V) == 2 + assert V[0] == Matrix([-1, 1, 0, -1, 1, 0], DE.t) + y = -p[0] + p[1] + 0*p[2] # x + assert y.diff(x) - y/x**2 == 1 - 1/x # Dy + f*y == -G0 + G1 + 0*G2 + + # the below test computation takes place while computing the integral + # of 'f = log(log(x + exp(x)))' + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(t, t)]}) + G = [(Poly(t + x, t, domain='ZZ(x)'), Poly(1, t, domain='QQ')), (Poly(0, t, domain='QQ'), Poly(1, t, domain='QQ'))] + h, A = param_rischDE(Poly(-t - 1, t, field=True), Poly(t + x, t, field=True), G, DE) + assert len(h) == 5 + p = [hi[0].as_expr()/hi[1].as_expr() for hi in h] + V = A.nullspace() + assert len(V) == 3 + assert V[0] == Matrix([0, 0, 0, 0, 1, 0, 0], DE.t) + y = 0*p[0] + 0*p[1] + 1*p[2] + 0*p[3] + 0*p[4] + assert y.diff(t) - y/(t + x) == 0 # Dy + f*y = 0*G0 + 0*G1 + + +def test_limited_integrate_reduce(): + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(1/x, t)]}) + assert limited_integrate_reduce(Poly(x, t), Poly(t**2, t), [(Poly(x, t), + Poly(t, t))], DE) == \ + (Poly(t, t), Poly(-1/x, t), Poly(t, t), 1, (Poly(x, t), Poly(1, t, domain='ZZ[x]')), + [(Poly(-x*t, t), Poly(1, t, domain='ZZ[x]'))]) + + +def test_limited_integrate(): + DE = DifferentialExtension(extension={'D': [Poly(1, x)]}) + G = [(Poly(x, x), Poly(x + 1, x))] + assert limited_integrate(Poly(-(1 + x + 5*x**2 - 3*x**3), x), + Poly(1 - x - x**2 + x**3, x), G, DE) == \ + ((Poly(x**2 - x + 2, x), Poly(x - 1, x, domain='QQ')), [2]) + G = [(Poly(1, x), Poly(x, x))] + assert limited_integrate(Poly(5*x**2, x), Poly(3, x), G, DE) == \ + ((Poly(5*x**3/9, x), Poly(1, x, domain='QQ')), [0]) + + +def test_is_log_deriv_k_t_radical(): + DE = DifferentialExtension(extension={'D': [Poly(1, x)], 'exts': [None], + 'extargs': [None]}) + assert is_log_deriv_k_t_radical(Poly(2*x, x), Poly(1, x), DE) is None + + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(2*t1, t1), Poly(1/x, t2)], + 'exts': [None, 'exp', 'log'], 'extargs': [None, 2*x, x]}) + assert is_log_deriv_k_t_radical(Poly(x + t2/2, t2), Poly(1, t2), DE) == \ + ([(t1, 1), (x, 1)], t1*x, 2, 0) + # TODO: Add more tests + + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(t0, t0), Poly(1/x, t)], + 'exts': [None, 'exp', 'log'], 'extargs': [None, x, x]}) + assert is_log_deriv_k_t_radical(Poly(x + t/2 + 3, t), Poly(1, t), DE) == \ + ([(t0, 2), (x, 1)], x*t0**2, 2, 3) + + +def test_is_deriv_k(): + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(1/x, t1), Poly(1/(x + 1), t2)], + 'exts': [None, 'log', 'log'], 'extargs': [None, x, x + 1]}) + assert is_deriv_k(Poly(2*x**2 + 2*x, t2), Poly(1, t2), DE) == \ + ([(t1, 1), (t2, 1)], t1 + t2, 2) + + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(1/x, t1), Poly(t2, t2)], + 'exts': [None, 'log', 'exp'], 'extargs': [None, x, x]}) + assert is_deriv_k(Poly(x**2*t2**3, t2), Poly(1, t2), DE) == \ + ([(x, 3), (t1, 2)], 2*t1 + 3*x, 1) + # TODO: Add more tests, including ones with exponentials + + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(2/x, t1)], + 'exts': [None, 'log'], 'extargs': [None, x**2]}) + assert is_deriv_k(Poly(x, t1), Poly(1, t1), DE) == \ + ([(t1, S.Half)], t1/2, 1) + + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(2/(1 + x), t0)], + 'exts': [None, 'log'], 'extargs': [None, x**2 + 2*x + 1]}) + assert is_deriv_k(Poly(1 + x, t0), Poly(1, t0), DE) == \ + ([(t0, S.Half)], t0/2, 1) + + # Issue 10798 + # DE = DifferentialExtension(log(1/x), x) + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(-1/x, t)], + 'exts': [None, 'log'], 'extargs': [None, 1/x]}) + assert is_deriv_k(Poly(1, t), Poly(x, t), DE) == ([(t, 1)], t, 1) + + +def test_is_log_deriv_k_t_radical_in_field(): + # NOTE: any potential constant factor in the second element of the result + # doesn't matter, because it cancels in Da/a. + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(1/x, t)]}) + assert is_log_deriv_k_t_radical_in_field(Poly(5*t + 1, t), Poly(2*t*x, t), DE) == \ + (2, t*x**5) + assert is_log_deriv_k_t_radical_in_field(Poly(2 + 3*t, t), Poly(5*x*t, t), DE) == \ + (5, x**3*t**2) + + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(-t/x**2, t)]}) + assert is_log_deriv_k_t_radical_in_field(Poly(-(1 + 2*t), t), + Poly(2*x**2 + 2*x**2*t, t), DE) == \ + (2, t + t**2) + assert is_log_deriv_k_t_radical_in_field(Poly(-1, t), Poly(x**2, t), DE) == \ + (1, t) + assert is_log_deriv_k_t_radical_in_field(Poly(1, t), Poly(2*x**2, t), DE) == \ + (2, 1/t) + + +def test_parametric_log_deriv(): + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(1/x, t)]}) + assert parametric_log_deriv_heu(Poly(5*t**2 + t - 6, t), Poly(2*x*t**2, t), + Poly(-1, t), Poly(x*t**2, t), DE) == \ + (2, 6, t*x**5) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/integrals/tests/test_quadrature.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/integrals/tests/test_quadrature.py new file mode 100644 index 0000000000000000000000000000000000000000..97471dbdbc13fda0bce7a8823ff2cefac4ab8802 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/integrals/tests/test_quadrature.py @@ -0,0 +1,601 @@ +from sympy.core import S, Rational +from sympy.integrals.quadrature import (gauss_legendre, gauss_laguerre, + gauss_hermite, gauss_gen_laguerre, + gauss_chebyshev_t, gauss_chebyshev_u, + gauss_jacobi, gauss_lobatto) + + +def test_legendre(): + x, w = gauss_legendre(1, 17) + assert [str(r) for r in x] == ['0'] + assert [str(r) for r in w] == ['2.0000000000000000'] + + x, w = gauss_legendre(2, 17) + assert [str(r) for r in x] == [ + '-0.57735026918962576', + '0.57735026918962576'] + assert [str(r) for r in w] == [ + '1.0000000000000000', + '1.0000000000000000'] + + x, w = gauss_legendre(3, 17) + assert [str(r) for r in x] == [ + '-0.77459666924148338', + '0', + '0.77459666924148338'] + assert [str(r) for r in w] == [ + '0.55555555555555556', + '0.88888888888888889', + '0.55555555555555556'] + + x, w = gauss_legendre(4, 17) + assert [str(r) for r in x] == [ + '-0.86113631159405258', + '-0.33998104358485626', + '0.33998104358485626', + '0.86113631159405258'] + assert [str(r) for r in w] == [ + '0.34785484513745386', + '0.65214515486254614', + '0.65214515486254614', + '0.34785484513745386'] + + +def test_legendre_precise(): + x, w = gauss_legendre(3, 40) + assert [str(r) for r in x] == [ + '-0.7745966692414833770358530799564799221666', + '0', + '0.7745966692414833770358530799564799221666'] + assert [str(r) for r in w] == [ + '0.5555555555555555555555555555555555555556', + '0.8888888888888888888888888888888888888889', + '0.5555555555555555555555555555555555555556'] + + +def test_laguerre(): + x, w = gauss_laguerre(1, 17) + assert [str(r) for r in x] == ['1.0000000000000000'] + assert [str(r) for r in w] == ['1.0000000000000000'] + + x, w = gauss_laguerre(2, 17) + assert [str(r) for r in x] == [ + '0.58578643762690495', + '3.4142135623730950'] + assert [str(r) for r in w] == [ + '0.85355339059327376', + '0.14644660940672624'] + + x, w = gauss_laguerre(3, 17) + assert [str(r) for r in x] == [ + '0.41577455678347908', + '2.2942803602790417', + '6.2899450829374792', + ] + assert [str(r) for r in w] == [ + '0.71109300992917302', + '0.27851773356924085', + '0.010389256501586136', + ] + + x, w = gauss_laguerre(4, 17) + assert [str(r) for r in x] == [ + '0.32254768961939231', + '1.7457611011583466', + '4.5366202969211280', + '9.3950709123011331'] + assert [str(r) for r in w] == [ + '0.60315410434163360', + '0.35741869243779969', + '0.038887908515005384', + '0.00053929470556132745'] + + x, w = gauss_laguerre(5, 17) + assert [str(r) for r in x] == [ + '0.26356031971814091', + '1.4134030591065168', + '3.5964257710407221', + '7.0858100058588376', + '12.640800844275783'] + assert [str(r) for r in w] == [ + '0.52175561058280865', + '0.39866681108317593', + '0.075942449681707595', + '0.0036117586799220485', + '2.3369972385776228e-5'] + + +def test_laguerre_precise(): + x, w = gauss_laguerre(3, 40) + assert [str(r) for r in x] == [ + '0.4157745567834790833115338731282744735466', + '2.294280360279041719822050361359593868960', + '6.289945082937479196866415765512131657493'] + assert [str(r) for r in w] == [ + '0.7110930099291730154495901911425944313094', + '0.2785177335692408488014448884567264810349', + '0.01038925650158613574896492040067908765572'] + + +def test_hermite(): + x, w = gauss_hermite(1, 17) + assert [str(r) for r in x] == ['0'] + assert [str(r) for r in w] == ['1.7724538509055160'] + + x, w = gauss_hermite(2, 17) + assert [str(r) for r in x] == [ + '-0.70710678118654752', + '0.70710678118654752'] + assert [str(r) for r in w] == [ + '0.88622692545275801', + '0.88622692545275801'] + + x, w = gauss_hermite(3, 17) + assert [str(r) for r in x] == [ + '-1.2247448713915890', + '0', + '1.2247448713915890'] + assert [str(r) for r in w] == [ + '0.29540897515091934', + '1.1816359006036774', + '0.29540897515091934'] + + x, w = gauss_hermite(4, 17) + assert [str(r) for r in x] == [ + '-1.6506801238857846', + '-0.52464762327529032', + '0.52464762327529032', + '1.6506801238857846'] + assert [str(r) for r in w] == [ + '0.081312835447245177', + '0.80491409000551284', + '0.80491409000551284', + '0.081312835447245177'] + + x, w = gauss_hermite(5, 17) + assert [str(r) for r in x] == [ + '-2.0201828704560856', + '-0.95857246461381851', + '0', + '0.95857246461381851', + '2.0201828704560856'] + assert [str(r) for r in w] == [ + '0.019953242059045913', + '0.39361932315224116', + '0.94530872048294188', + '0.39361932315224116', + '0.019953242059045913'] + + +def test_hermite_precise(): + x, w = gauss_hermite(3, 40) + assert [str(r) for r in x] == [ + '-1.224744871391589049098642037352945695983', + '0', + '1.224744871391589049098642037352945695983'] + assert [str(r) for r in w] == [ + '0.2954089751509193378830279138901908637996', + '1.181635900603677351532111655560763455198', + '0.2954089751509193378830279138901908637996'] + + +def test_gen_laguerre(): + x, w = gauss_gen_laguerre(1, Rational(-1, 2), 17) + assert [str(r) for r in x] == ['0.50000000000000000'] + assert [str(r) for r in w] == ['1.7724538509055160'] + + x, w = gauss_gen_laguerre(2, Rational(-1, 2), 17) + assert [str(r) for r in x] == [ + '0.27525512860841095', + '2.7247448713915890'] + assert [str(r) for r in w] == [ + '1.6098281800110257', + '0.16262567089449035'] + + x, w = gauss_gen_laguerre(3, Rational(-1, 2), 17) + assert [str(r) for r in x] == [ + '0.19016350919348813', + '1.7844927485432516', + '5.5253437422632603'] + assert [str(r) for r in w] == [ + '1.4492591904487850', + '0.31413464064571329', + '0.0090600198110176913'] + + x, w = gauss_gen_laguerre(4, Rational(-1, 2), 17) + assert [str(r) for r in x] == [ + '0.14530352150331709', + '1.3390972881263614', + '3.9269635013582872', + '8.5886356890120343'] + assert [str(r) for r in w] == [ + '1.3222940251164826', + '0.41560465162978376', + '0.034155966014826951', + '0.00039920814442273524'] + + x, w = gauss_gen_laguerre(5, Rational(-1, 2), 17) + assert [str(r) for r in x] == [ + '0.11758132021177814', + '1.0745620124369040', + '3.0859374437175500', + '6.4147297336620305', + '11.807189489971737'] + assert [str(r) for r in w] == [ + '1.2217252674706516', + '0.48027722216462937', + '0.067748788910962126', + '0.0026872914935624654', + '1.5280865710465241e-5'] + + x, w = gauss_gen_laguerre(1, 2, 17) + assert [str(r) for r in x] == ['3.0000000000000000'] + assert [str(r) for r in w] == ['2.0000000000000000'] + + x, w = gauss_gen_laguerre(2, 2, 17) + assert [str(r) for r in x] == [ + '2.0000000000000000', + '6.0000000000000000'] + assert [str(r) for r in w] == [ + '1.5000000000000000', + '0.50000000000000000'] + + x, w = gauss_gen_laguerre(3, 2, 17) + assert [str(r) for r in x] == [ + '1.5173870806774125', + '4.3115831337195203', + '9.1710297856030672'] + assert [str(r) for r in w] == [ + '1.0374949614904253', + '0.90575000470306537', + '0.056755033806509347'] + + x, w = gauss_gen_laguerre(4, 2, 17) + assert [str(r) for r in x] == [ + '1.2267632635003021', + '3.4125073586969460', + '6.9026926058516134', + '12.458036771951139'] + assert [str(r) for r in w] == [ + '0.72552499769865438', + '1.0634242919791946', + '0.20669613102835355', + '0.0043545792937974889'] + + x, w = gauss_gen_laguerre(5, 2, 17) + assert [str(r) for r in x] == [ + '1.0311091440933816', + '2.8372128239538217', + '5.6202942725987079', + '9.6829098376640271', + '15.828473921690062'] + assert [str(r) for r in w] == [ + '0.52091739683509184', + '1.0667059331592211', + '0.38354972366693113', + '0.028564233532974658', + '0.00026271280578124935'] + + +def test_gen_laguerre_precise(): + x, w = gauss_gen_laguerre(3, Rational(-1, 2), 40) + assert [str(r) for r in x] == [ + '0.1901635091934881328718554276203028970878', + '1.784492748543251591186722461957367638500', + '5.525343742263260275941422110422329464413'] + assert [str(r) for r in w] == [ + '1.449259190448785048183829411195134343108', + '0.3141346406457132878326231270167565378246', + '0.009060019811017691281714945129254301865020'] + + x, w = gauss_gen_laguerre(3, 2, 40) + assert [str(r) for r in x] == [ + '1.517387080677412495020323111016672547482', + '4.311583133719520302881184669723530562299', + '9.171029785603067202098492219259796890218'] + assert [str(r) for r in w] == [ + '1.037494961490425285817554606541269153041', + '0.9057500047030653669269785048806009945254', + '0.05675503380650934725546688857812985243312'] + + +def test_chebyshev_t(): + x, w = gauss_chebyshev_t(1, 17) + assert [str(r) for r in x] == ['0'] + assert [str(r) for r in w] == ['3.1415926535897932'] + + x, w = gauss_chebyshev_t(2, 17) + assert [str(r) for r in x] == [ + '0.70710678118654752', + '-0.70710678118654752'] + assert [str(r) for r in w] == [ + '1.5707963267948966', + '1.5707963267948966'] + + x, w = gauss_chebyshev_t(3, 17) + assert [str(r) for r in x] == [ + '0.86602540378443865', + '0', + '-0.86602540378443865'] + assert [str(r) for r in w] == [ + '1.0471975511965977', + '1.0471975511965977', + '1.0471975511965977'] + + x, w = gauss_chebyshev_t(4, 17) + assert [str(r) for r in x] == [ + '0.92387953251128676', + '0.38268343236508977', + '-0.38268343236508977', + '-0.92387953251128676'] + assert [str(r) for r in w] == [ + '0.78539816339744831', + '0.78539816339744831', + '0.78539816339744831', + '0.78539816339744831'] + + x, w = gauss_chebyshev_t(5, 17) + assert [str(r) for r in x] == [ + '0.95105651629515357', + '0.58778525229247313', + '0', + '-0.58778525229247313', + '-0.95105651629515357'] + assert [str(r) for r in w] == [ + '0.62831853071795865', + '0.62831853071795865', + '0.62831853071795865', + '0.62831853071795865', + '0.62831853071795865'] + + +def test_chebyshev_t_precise(): + x, w = gauss_chebyshev_t(3, 40) + assert [str(r) for r in x] == [ + '0.8660254037844386467637231707529361834714', + '0', + '-0.8660254037844386467637231707529361834714'] + assert [str(r) for r in w] == [ + '1.047197551196597746154214461093167628066', + '1.047197551196597746154214461093167628066', + '1.047197551196597746154214461093167628066'] + + +def test_chebyshev_u(): + x, w = gauss_chebyshev_u(1, 17) + assert [str(r) for r in x] == ['0'] + assert [str(r) for r in w] == ['1.5707963267948966'] + + x, w = gauss_chebyshev_u(2, 17) + assert [str(r) for r in x] == [ + '0.50000000000000000', + '-0.50000000000000000'] + assert [str(r) for r in w] == [ + '0.78539816339744831', + '0.78539816339744831'] + + x, w = gauss_chebyshev_u(3, 17) + assert [str(r) for r in x] == [ + '0.70710678118654752', + '0', + '-0.70710678118654752'] + assert [str(r) for r in w] == [ + '0.39269908169872415', + '0.78539816339744831', + '0.39269908169872415'] + + x, w = gauss_chebyshev_u(4, 17) + assert [str(r) for r in x] == [ + '0.80901699437494742', + '0.30901699437494742', + '-0.30901699437494742', + '-0.80901699437494742'] + assert [str(r) for r in w] == [ + '0.21707871342270599', + '0.56831944997474231', + '0.56831944997474231', + '0.21707871342270599'] + + x, w = gauss_chebyshev_u(5, 17) + assert [str(r) for r in x] == [ + '0.86602540378443865', + '0.50000000000000000', + '0', + '-0.50000000000000000', + '-0.86602540378443865'] + assert [str(r) for r in w] == [ + '0.13089969389957472', + '0.39269908169872415', + '0.52359877559829887', + '0.39269908169872415', + '0.13089969389957472'] + + +def test_chebyshev_u_precise(): + x, w = gauss_chebyshev_u(3, 40) + assert [str(r) for r in x] == [ + '0.7071067811865475244008443621048490392848', + '0', + '-0.7071067811865475244008443621048490392848'] + assert [str(r) for r in w] == [ + '0.3926990816987241548078304229099378605246', + '0.7853981633974483096156608458198757210493', + '0.3926990816987241548078304229099378605246'] + + +def test_jacobi(): + x, w = gauss_jacobi(1, Rational(-1, 2), S.Half, 17) + assert [str(r) for r in x] == ['0.50000000000000000'] + assert [str(r) for r in w] == ['3.1415926535897932'] + + x, w = gauss_jacobi(2, Rational(-1, 2), S.Half, 17) + assert [str(r) for r in x] == [ + '-0.30901699437494742', + '0.80901699437494742'] + assert [str(r) for r in w] == [ + '0.86831485369082398', + '2.2732777998989693'] + + x, w = gauss_jacobi(3, Rational(-1, 2), S.Half, 17) + assert [str(r) for r in x] == [ + '-0.62348980185873353', + '0.22252093395631440', + '0.90096886790241913'] + assert [str(r) for r in w] == [ + '0.33795476356635433', + '1.0973322242791115', + '1.7063056657443274'] + + x, w = gauss_jacobi(4, Rational(-1, 2), S.Half, 17) + assert [str(r) for r in x] == [ + '-0.76604444311897804', + '-0.17364817766693035', + '0.50000000000000000', + '0.93969262078590838'] + assert [str(r) for r in w] == [ + '0.16333179083642836', + '0.57690240318269103', + '1.0471975511965977', + '1.3541609083740761'] + + x, w = gauss_jacobi(5, Rational(-1, 2), S.Half, 17) + assert [str(r) for r in x] == [ + '-0.84125353283118117', + '-0.41541501300188643', + '0.14231483827328514', + '0.65486073394528506', + '0.95949297361449739'] + assert [str(r) for r in w] == [ + '0.090675770007435372', + '0.33391416373675607', + '0.65248870981926643', + '0.94525424081394926', + '1.1192597692123861'] + + x, w = gauss_jacobi(1, 2, 3, 17) + assert [str(r) for r in x] == ['0.14285714285714286'] + assert [str(r) for r in w] == ['1.0666666666666667'] + + x, w = gauss_jacobi(2, 2, 3, 17) + assert [str(r) for r in x] == [ + '-0.24025307335204215', + '0.46247529557426437'] + assert [str(r) for r in w] == [ + '0.48514624517838660', + '0.58152042148828007'] + + x, w = gauss_jacobi(3, 2, 3, 17) + assert [str(r) for r in x] == [ + '-0.46115870378089762', + '0.10438533038323902', + '0.62950064612493132'] + assert [str(r) for r in w] == [ + '0.17937613502213266', + '0.61595640991147154', + '0.27133412173306246'] + + x, w = gauss_jacobi(4, 2, 3, 17) + assert [str(r) for r in x] == [ + '-0.59903470850824782', + '-0.14761105199952565', + '0.32554377081188859', + '0.72879429738819258'] + assert [str(r) for r in w] == [ + '0.067809641836772187', + '0.38956404952032481', + '0.47995970868024150', + '0.12933326662932816'] + + x, w = gauss_jacobi(5, 2, 3, 17) + assert [str(r) for r in x] == [ + '-0.69045775012676106', + '-0.32651993134900065', + '0.082337849552034905', + '0.47517887061283164', + '0.79279429464422850'] + assert [str(r) for r in w] == [ + '0.027410178066337099', + '0.21291786060364828', + '0.43908437944395081', + '0.32220656547221822', + '0.065047683080512268'] + + +def test_jacobi_precise(): + x, w = gauss_jacobi(3, Rational(-1, 2), S.Half, 40) + assert [str(r) for r in x] == [ + '-0.6234898018587335305250048840042398106323', + '0.2225209339563144042889025644967947594664', + '0.9009688679024191262361023195074450511659'] + assert [str(r) for r in w] == [ + '0.3379547635663543330553835737094171534907', + '1.097332224279111467485302294320899710461', + '1.706305665744327437921957515249186020246'] + + x, w = gauss_jacobi(3, 2, 3, 40) + assert [str(r) for r in x] == [ + '-0.4611587037808976179121958105554375981274', + '0.1043853303832390210914918407615869143233', + '0.6295006461249313240934312425211234110769'] + assert [str(r) for r in w] == [ + '0.1793761350221326596137764371503859752628', + '0.6159564099114715430909548532229749439714', + '0.2713341217330624639619353762933057474325'] + + +def test_lobatto(): + x, w = gauss_lobatto(2, 17) + assert [str(r) for r in x] == [ + '-1', + '1'] + assert [str(r) for r in w] == [ + '1.0000000000000000', + '1.0000000000000000'] + + x, w = gauss_lobatto(3, 17) + assert [str(r) for r in x] == [ + '-1', + '0', + '1'] + assert [str(r) for r in w] == [ + '0.33333333333333333', + '1.3333333333333333', + '0.33333333333333333'] + + x, w = gauss_lobatto(4, 17) + assert [str(r) for r in x] == [ + '-1', + '-0.44721359549995794', + '0.44721359549995794', + '1'] + assert [str(r) for r in w] == [ + '0.16666666666666667', + '0.83333333333333333', + '0.83333333333333333', + '0.16666666666666667'] + + x, w = gauss_lobatto(5, 17) + assert [str(r) for r in x] == [ + '-1', + '-0.65465367070797714', + '0', + '0.65465367070797714', + '1'] + assert [str(r) for r in w] == [ + '0.10000000000000000', + '0.54444444444444444', + '0.71111111111111111', + '0.54444444444444444', + '0.10000000000000000'] + + +def test_lobatto_precise(): + x, w = gauss_lobatto(3, 40) + assert [str(r) for r in x] == [ + '-1', + '0', + '1'] + assert [str(r) for r in w] == [ + '0.3333333333333333333333333333333333333333', + '1.333333333333333333333333333333333333333', + '0.3333333333333333333333333333333333333333'] diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/integrals/tests/test_rationaltools.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/integrals/tests/test_rationaltools.py new file mode 100644 index 0000000000000000000000000000000000000000..809bf30c1c35f80e2a0b15c1e639603eab28a250 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/integrals/tests/test_rationaltools.py @@ -0,0 +1,183 @@ +from sympy.core.numbers import (I, Rational) +from sympy.core.singleton import S +from sympy.core.symbol import (Dummy, symbols) +from sympy.functions.elementary.exponential import log +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.trigonometric import atan +from sympy.integrals.integrals import integrate +from sympy.polys.polytools import Poly +from sympy.simplify.simplify import simplify + +from sympy.integrals.rationaltools import ratint, ratint_logpart, log_to_atan + +from sympy.abc import a, b, x, t + +half = S.Half + + +def test_ratint(): + assert ratint(S.Zero, x) == 0 + assert ratint(S(7), x) == 7*x + + assert ratint(x, x) == x**2/2 + assert ratint(2*x, x) == x**2 + assert ratint(-2*x, x) == -x**2 + + assert ratint(8*x**7 + 2*x + 1, x) == x**8 + x**2 + x + + f = S.One + g = x + 1 + + assert ratint(f / g, x) == log(x + 1) + assert ratint((f, g), x) == log(x + 1) + + f = x**3 - x + g = x - 1 + + assert ratint(f/g, x) == x**3/3 + x**2/2 + + f = x + g = (x - a)*(x + a) + + assert ratint(f/g, x) == log(x**2 - a**2)/2 + + f = S.One + g = x**2 + 1 + + assert ratint(f/g, x, real=None) == atan(x) + assert ratint(f/g, x, real=True) == atan(x) + + assert ratint(f/g, x, real=False) == I*log(x + I)/2 - I*log(x - I)/2 + + f = S(36) + g = x**5 - 2*x**4 - 2*x**3 + 4*x**2 + x - 2 + + assert ratint(f/g, x) == \ + -4*log(x + 1) + 4*log(x - 2) + (12*x + 6)/(x**2 - 1) + + f = x**4 - 3*x**2 + 6 + g = x**6 - 5*x**4 + 5*x**2 + 4 + + assert ratint(f/g, x) == \ + atan(x) + atan(x**3) + atan(x/2 - Rational(3, 2)*x**3 + S.Half*x**5) + + f = x**7 - 24*x**4 - 4*x**2 + 8*x - 8 + g = x**8 + 6*x**6 + 12*x**4 + 8*x**2 + + assert ratint(f/g, x) == \ + (4 + 6*x + 8*x**2 + 3*x**3)/(4*x + 4*x**3 + x**5) + log(x) + + assert ratint((x**3*f)/(x*g), x) == \ + -(12 - 16*x + 6*x**2 - 14*x**3)/(4 + 4*x**2 + x**4) - \ + 5*sqrt(2)*atan(x*sqrt(2)/2) + S.Half*x**2 - 3*log(2 + x**2) + + f = x**5 - x**4 + 4*x**3 + x**2 - x + 5 + g = x**4 - 2*x**3 + 5*x**2 - 4*x + 4 + + assert ratint(f/g, x) == \ + x + S.Half*x**2 + S.Half*log(2 - x + x**2) + (9 - 4*x)/(7*x**2 - 7*x + 14) + \ + 13*sqrt(7)*atan(Rational(-1, 7)*sqrt(7) + 2*x*sqrt(7)/7)/49 + + assert ratint(1/(x**2 + x + 1), x) == \ + 2*sqrt(3)*atan(sqrt(3)/3 + 2*x*sqrt(3)/3)/3 + + assert ratint(1/(x**3 + 1), x) == \ + -log(1 - x + x**2)/6 + log(1 + x)/3 + sqrt(3)*atan(-sqrt(3) + /3 + 2*x*sqrt(3)/3)/3 + + assert ratint(1/(x**2 + x + 1), x, real=False) == \ + -I*3**half*log(half + x - half*I*3**half)/3 + \ + I*3**half*log(half + x + half*I*3**half)/3 + + assert ratint(1/(x**3 + 1), x, real=False) == log(1 + x)/3 + \ + (Rational(-1, 6) + I*3**half/6)*log(-half + x + I*3**half/2) + \ + (Rational(-1, 6) - I*3**half/6)*log(-half + x - I*3**half/2) + + # issue 4991 + assert ratint(1/(x*(a + b*x)**3), x) == \ + (3*a + 2*b*x)/(2*a**4 + 4*a**3*b*x + 2*a**2*b**2*x**2) + ( + log(x) - log(a/b + x))/a**3 + + assert ratint(x/(1 - x**2), x) == -log(x**2 - 1)/2 + assert ratint(-x/(1 - x**2), x) == log(x**2 - 1)/2 + + assert ratint((x/4 - 4/(1 - x)).diff(x), x) == x/4 + 4/(x - 1) + + ans = atan(x) + assert ratint(1/(x**2 + 1), x, symbol=x) == ans + assert ratint(1/(x**2 + 1), x, symbol='x') == ans + assert ratint(1/(x**2 + 1), x, symbol=a) == ans + # this asserts that as_dummy must return a unique symbol + # even if the symbol is already a Dummy + d = Dummy() + assert ratint(1/(d**2 + 1), d, symbol=d) == atan(d) + + +def test_ratint_logpart(): + assert ratint_logpart(x, x**2 - 9, x, t) == \ + [(Poly(x**2 - 9, x), Poly(-2*t + 1, t))] + assert ratint_logpart(x**2, x**3 - 5, x, t) == \ + [(Poly(x**3 - 5, x), Poly(-3*t + 1, t))] + + +def test_issue_5414(): + assert ratint(1/(x**2 + 16), x) == atan(x/4)/4 + + +def test_issue_5249(): + assert ratint( + 1/(x**2 + a**2), x) == (-I*log(-I*a + x)/2 + I*log(I*a + x)/2)/a + + +def test_issue_5817(): + a, b, c = symbols('a,b,c', positive=True) + + assert simplify(ratint(a/(b*c*x**2 + a**2 + b*a), x)) == \ + sqrt(a)*atan(sqrt( + b)*sqrt(c)*x/(sqrt(a)*sqrt(a + b)))/(sqrt(b)*sqrt(c)*sqrt(a + b)) + + +def test_issue_5981(): + u = symbols('u') + assert integrate(1/(u**2 + 1)) == atan(u) + +def test_issue_10488(): + a,b,c,x = symbols('a b c x', positive=True) + assert integrate(x/(a*x+b),x) == x/a - b*log(a*x + b)/a**2 + + +def test_issues_8246_12050_13501_14080(): + a = symbols('a', nonzero=True) + assert integrate(a/(x**2 + a**2), x) == atan(x/a) + assert integrate(1/(x**2 + a**2), x) == atan(x/a)/a + assert integrate(1/(1 + a**2*x**2), x) == atan(a*x)/a + + +def test_issue_6308(): + k, a0 = symbols('k a0', real=True) + assert integrate((x**2 + 1 - k**2)/(x**2 + 1 + a0**2), x) == \ + x - (a0**2 + k**2)*atan(x/sqrt(a0**2 + 1))/sqrt(a0**2 + 1) + + +def test_issue_5907(): + a = symbols('a', nonzero=True) + assert integrate(1/(x**2 + a**2)**2, x) == \ + x/(2*a**4 + 2*a**2*x**2) + atan(x/a)/(2*a**3) + + +def test_log_to_atan(): + f, g = (Poly(x + S.Half, x, domain='QQ'), Poly(sqrt(3)/2, x, domain='EX')) + fg_ans = 2*atan(2*sqrt(3)*x/3 + sqrt(3)/3) + assert log_to_atan(f, g) == fg_ans + assert log_to_atan(g, f) == -fg_ans + + +def test_issue_25896(): + # for both tests, C = 0 in log_to_real + # but this only has a log result + e = (2*x + 1)/(x**2 + x + 1) + 1/x + assert ratint(e, x) == log(x**3 + x**2 + x) + # while this has more + assert ratint((4*x + 7)/(x**2 + 4*x + 6) + 2/x, x) == ( + 2*log(x) + 2*log(x**2 + 4*x + 6) - sqrt(2)*atan( + sqrt(2)*x/2 + sqrt(2))/2) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/integrals/tests/test_rde.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/integrals/tests/test_rde.py new file mode 100644 index 0000000000000000000000000000000000000000..3c7df5ce05846dc270756cd878870bbff78ff976 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/integrals/tests/test_rde.py @@ -0,0 +1,202 @@ +"""Most of these tests come from the examples in Bronstein's book.""" +from sympy.core.numbers import (I, Rational, oo) +from sympy.core.symbol import symbols +from sympy.polys.polytools import Poly +from sympy.integrals.risch import (DifferentialExtension, + NonElementaryIntegralException) +from sympy.integrals.rde import (order_at, order_at_oo, weak_normalizer, + normal_denom, special_denom, bound_degree, spde, solve_poly_rde, + no_cancel_equal, cancel_primitive, cancel_exp, rischDE) + +from sympy.testing.pytest import raises +from sympy.abc import x, t, z, n + +t0, t1, t2, k = symbols('t:3 k') + + +def test_order_at(): + a = Poly(t**4, t) + b = Poly((t**2 + 1)**3*t, t) + c = Poly((t**2 + 1)**6*t, t) + d = Poly((t**2 + 1)**10*t**10, t) + e = Poly((t**2 + 1)**100*t**37, t) + p1 = Poly(t, t) + p2 = Poly(1 + t**2, t) + assert order_at(a, p1, t) == 4 + assert order_at(b, p1, t) == 1 + assert order_at(c, p1, t) == 1 + assert order_at(d, p1, t) == 10 + assert order_at(e, p1, t) == 37 + assert order_at(a, p2, t) == 0 + assert order_at(b, p2, t) == 3 + assert order_at(c, p2, t) == 6 + assert order_at(d, p1, t) == 10 + assert order_at(e, p2, t) == 100 + assert order_at(Poly(0, t), Poly(t, t), t) is oo + assert order_at_oo(Poly(t**2 - 1, t), Poly(t + 1), t) == \ + order_at_oo(Poly(t - 1, t), Poly(1, t), t) == -1 + assert order_at_oo(Poly(0, t), Poly(1, t), t) is oo + +def test_weak_normalizer(): + a = Poly((1 + x)*t**5 + 4*t**4 + (-1 - 3*x)*t**3 - 4*t**2 + (-2 + 2*x)*t, t) + d = Poly(t**4 - 3*t**2 + 2, t) + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(t, t)]}) + r = weak_normalizer(a, d, DE, z) + assert r == (Poly(t**5 - t**4 - 4*t**3 + 4*t**2 + 4*t - 4, t, domain='ZZ[x]'), + (Poly((1 + x)*t**2 + x*t, t, domain='ZZ[x]'), + Poly(t + 1, t, domain='ZZ[x]'))) + assert weak_normalizer(r[1][0], r[1][1], DE) == (Poly(1, t), r[1]) + r = weak_normalizer(Poly(1 + t**2), Poly(t**2 - 1, t), DE, z) + assert r == (Poly(t**4 - 2*t**2 + 1, t), (Poly(-3*t**2 + 1, t), Poly(t**2 - 1, t))) + assert weak_normalizer(r[1][0], r[1][1], DE, z) == (Poly(1, t), r[1]) + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(1 + t**2)]}) + r = weak_normalizer(Poly(1 + t**2), Poly(t, t), DE, z) + assert r == (Poly(t, t), (Poly(0, t), Poly(1, t))) + assert weak_normalizer(r[1][0], r[1][1], DE, z) == (Poly(1, t), r[1]) + + +def test_normal_denom(): + DE = DifferentialExtension(extension={'D': [Poly(1, x)]}) + raises(NonElementaryIntegralException, lambda: normal_denom(Poly(1, x), Poly(1, x), + Poly(1, x), Poly(x, x), DE)) + fa, fd = Poly(t**2 + 1, t), Poly(1, t) + ga, gd = Poly(1, t), Poly(t**2, t) + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(t**2 + 1, t)]}) + assert normal_denom(fa, fd, ga, gd, DE) == \ + (Poly(t, t), (Poly(t**3 - t**2 + t - 1, t), Poly(1, t)), (Poly(1, t), + Poly(1, t)), Poly(t, t)) + + +def test_special_denom(): + # TODO: add more tests here + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(t, t)]}) + assert special_denom(Poly(1, t), Poly(t**2, t), Poly(1, t), Poly(t**2 - 1, t), + Poly(t, t), DE) == \ + (Poly(1, t), Poly(t**2 - 1, t), Poly(t**2 - 1, t), Poly(t, t)) +# assert special_denom(Poly(1, t), Poly(2*x, t), Poly((1 + 2*x)*t, t), DE) == 1 + + # issue 3940 + # Note, this isn't a very good test, because the denominator is just 1, + # but at least it tests the exp cancellation case + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(-2*x*t0, t0), + Poly(I*k*t1, t1)]}) + DE.decrement_level() + assert special_denom(Poly(1, t0), Poly(I*k, t0), Poly(1, t0), Poly(t0, t0), + Poly(1, t0), DE) == \ + (Poly(1, t0, domain='ZZ'), Poly(I*k, t0, domain='ZZ_I[k,x]'), + Poly(t0, t0, domain='ZZ'), Poly(1, t0, domain='ZZ')) + + + assert special_denom(Poly(1, t), Poly(t**2, t), Poly(1, t), Poly(t**2 - 1, t), + Poly(t, t), DE, case='tan') == \ + (Poly(1, t, t0, domain='ZZ'), Poly(t**2, t0, t, domain='ZZ[x]'), + Poly(t, t, t0, domain='ZZ'), Poly(1, t0, domain='ZZ')) + + raises(ValueError, lambda: special_denom(Poly(1, t), Poly(t**2, t), Poly(1, t), Poly(t**2 - 1, t), + Poly(t, t), DE, case='unrecognized_case')) + + +def test_bound_degree_fail(): + # Primitive + DE = DifferentialExtension(extension={'D': [Poly(1, x), + Poly(t0/x**2, t0), Poly(1/x, t)]}) + assert bound_degree(Poly(t**2, t), Poly(-(1/x**2*t**2 + 1/x), t), + Poly((2*x - 1)*t**4 + (t0 + x)/x*t**3 - (t0 + 4*x**2)/2*x*t**2 + x*t, + t), DE) == 3 + + +def test_bound_degree(): + # Base + DE = DifferentialExtension(extension={'D': [Poly(1, x)]}) + assert bound_degree(Poly(1, x), Poly(-2*x, x), Poly(1, x), DE) == 0 + + # Primitive (see above test_bound_degree_fail) + # TODO: Add test for when the degree bound becomes larger after limited_integrate + # TODO: Add test for db == da - 1 case + + # Exp + # TODO: Add tests + # TODO: Add test for when the degree becomes larger after parametric_log_deriv() + + # Nonlinear + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(t**2 + 1, t)]}) + assert bound_degree(Poly(t, t), Poly((t - 1)*(t**2 + 1), t), Poly(1, t), DE) == 0 + + +def test_spde(): + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(t**2 + 1, t)]}) + raises(NonElementaryIntegralException, lambda: spde(Poly(t, t), Poly((t - 1)*(t**2 + 1), t), Poly(1, t), 0, DE)) + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(t, t)]}) + assert spde(Poly(t**2 + x*t*2 + x**2, t), Poly(t**2/x**2 + (2/x - 1)*t, t), + Poly(t**2/x**2 + (2/x - 1)*t, t), 0, DE) == \ + (Poly(0, t), Poly(0, t), 0, Poly(0, t), Poly(1, t, domain='ZZ(x)')) + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(t0/x**2, t0), Poly(1/x, t)]}) + assert spde(Poly(t**2, t), Poly(-t**2/x**2 - 1/x, t), + Poly((2*x - 1)*t**4 + (t0 + x)/x*t**3 - (t0 + 4*x**2)/(2*x)*t**2 + x*t, t), 3, DE) == \ + (Poly(0, t), Poly(0, t), 0, Poly(0, t), + Poly(t0*t**2/2 + x**2*t**2 - x**2*t, t, domain='ZZ(x,t0)')) + DE = DifferentialExtension(extension={'D': [Poly(1, x)]}) + assert spde(Poly(x**2 + x + 1, x), Poly(-2*x - 1, x), Poly(x**5/2 + + 3*x**4/4 + x**3 - x**2 + 1, x), 4, DE) == \ + (Poly(0, x, domain='QQ'), Poly(x/2 - Rational(1, 4), x), 2, Poly(x**2 + x + 1, x), Poly(x*Rational(5, 4), x)) + assert spde(Poly(x**2 + x + 1, x), Poly(-2*x - 1, x), Poly(x**5/2 + + 3*x**4/4 + x**3 - x**2 + 1, x), n, DE) == \ + (Poly(0, x, domain='QQ'), Poly(x/2 - Rational(1, 4), x), -2 + n, Poly(x**2 + x + 1, x), Poly(x*Rational(5, 4), x)) + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(1, t)]}) + raises(NonElementaryIntegralException, lambda: spde(Poly((t - 1)*(t**2 + 1)**2, t), Poly((t - 1)*(t**2 + 1), t), Poly(1, t), 0, DE)) + DE = DifferentialExtension(extension={'D': [Poly(1, x)]}) + assert spde(Poly(x**2 - x, x), Poly(1, x), Poly(9*x**4 - 10*x**3 + 2*x**2, x), 4, DE) == \ + (Poly(0, x, domain='ZZ'), Poly(0, x), 0, Poly(0, x), Poly(3*x**3 - 2*x**2, x, domain='QQ')) + assert spde(Poly(x**2 - x, x), Poly(x**2 - 5*x + 3, x), Poly(x**7 - x**6 - 2*x**4 + 3*x**3 - x**2, x), 5, DE) == \ + (Poly(1, x, domain='QQ'), Poly(x + 1, x, domain='QQ'), 1, Poly(x**4 - x**3, x), Poly(x**3 - x**2, x, domain='QQ')) + +def test_solve_poly_rde_no_cancel(): + # deg(b) large + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(1 + t**2, t)]}) + assert solve_poly_rde(Poly(t**2 + 1, t), Poly(t**3 + (x + 1)*t**2 + t + x + 2, t), + oo, DE) == Poly(t + x, t) + # deg(b) small + DE = DifferentialExtension(extension={'D': [Poly(1, x)]}) + assert solve_poly_rde(Poly(0, x), Poly(x/2 - Rational(1, 4), x), oo, DE) == \ + Poly(x**2/4 - x/4, x) + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(t**2 + 1, t)]}) + assert solve_poly_rde(Poly(2, t), Poly(t**2 + 2*t + 3, t), 1, DE) == \ + Poly(t + 1, t, x) + # deg(b) == deg(D) - 1 + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(t**2 + 1, t)]}) + assert no_cancel_equal(Poly(1 - t, t), + Poly(t**3 + t**2 - 2*x*t - 2*x, t), oo, DE) == \ + (Poly(t**2, t), 1, Poly((-2 - 2*x)*t - 2*x, t)) + + +def test_solve_poly_rde_cancel(): + # exp + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(t, t)]}) + assert cancel_exp(Poly(2*x, t), Poly(2*x, t), 0, DE) == \ + Poly(1, t) + assert cancel_exp(Poly(2*x, t), Poly((1 + 2*x)*t, t), 1, DE) == \ + Poly(t, t) + # TODO: Add more exp tests, including tests that require is_deriv_in_field() + + # primitive + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(1/x, t)]}) + + # If the DecrementLevel context manager is working correctly, this shouldn't + # cause any problems with the further tests. + raises(NonElementaryIntegralException, lambda: cancel_primitive(Poly(1, t), Poly(t, t), oo, DE)) + + assert cancel_primitive(Poly(1, t), Poly(t + 1/x, t), 2, DE) == \ + Poly(t, t) + assert cancel_primitive(Poly(4*x, t), Poly(4*x*t**2 + 2*t/x, t), 3, DE) == \ + Poly(t**2, t) + + # TODO: Add more primitive tests, including tests that require is_deriv_in_field() + + +def test_rischDE(): + # TODO: Add more tests for rischDE, including ones from the text + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(t, t)]}) + DE.decrement_level() + assert rischDE(Poly(-2*x, x), Poly(1, x), Poly(1 - 2*x - 2*x**2, x), + Poly(1, x), DE) == \ + (Poly(x + 1, x), Poly(1, x)) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/integrals/tests/test_risch.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/integrals/tests/test_risch.py new file mode 100644 index 0000000000000000000000000000000000000000..68be260e1f3d42fb14c790afe6bda1768e777666 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/integrals/tests/test_risch.py @@ -0,0 +1,763 @@ +"""Most of these tests come from the examples in Bronstein's book.""" +from sympy.core.function import (Function, Lambda, diff, expand_log) +from sympy.core.numbers import (I, Rational, pi) +from sympy.core.relational import Ne +from sympy.core.singleton import S +from sympy.core.symbol import (Symbol, symbols) +from sympy.functions.elementary.exponential import (exp, log) +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.piecewise import Piecewise +from sympy.functions.elementary.trigonometric import (atan, sin, tan) +from sympy.polys.polytools import (Poly, cancel, factor) +from sympy.integrals.risch import (gcdex_diophantine, frac_in, as_poly_1t, + derivation, splitfactor, splitfactor_sqf, canonical_representation, + hermite_reduce, polynomial_reduce, residue_reduce, residue_reduce_to_basic, + integrate_primitive, integrate_hyperexponential_polynomial, + integrate_hyperexponential, integrate_hypertangent_polynomial, + integrate_nonlinear_no_specials, integer_powers, DifferentialExtension, + risch_integrate, DecrementLevel, NonElementaryIntegral, recognize_log_derivative, + recognize_derivative, laurent_series) +from sympy.testing.pytest import raises + +from sympy.abc import x, t, nu, z, a, y +t0, t1, t2 = symbols('t:3') +i = Symbol('i') + +def test_gcdex_diophantine(): + assert gcdex_diophantine(Poly(x**4 - 2*x**3 - 6*x**2 + 12*x + 15), + Poly(x**3 + x**2 - 4*x - 4), Poly(x**2 - 1)) == \ + (Poly((-x**2 + 4*x - 3)/5), Poly((x**3 - 7*x**2 + 16*x - 10)/5)) + assert gcdex_diophantine(Poly(x**3 + 6*x + 7), Poly(x**2 + 3*x + 2), Poly(x + 1)) == \ + (Poly(1/13, x, domain='QQ'), Poly(-1/13*x + 3/13, x, domain='QQ')) + + +def test_frac_in(): + assert frac_in(Poly((x + 1)/x*t, t), x) == \ + (Poly(t*x + t, x), Poly(x, x)) + assert frac_in((x + 1)/x*t, x) == \ + (Poly(t*x + t, x), Poly(x, x)) + assert frac_in((Poly((x + 1)/x*t, t), Poly(t + 1, t)), x) == \ + (Poly(t*x + t, x), Poly((1 + t)*x, x)) + raises(ValueError, lambda: frac_in((x + 1)/log(x)*t, x)) + assert frac_in(Poly((2 + 2*x + x*(1 + x))/(1 + x)**2, t), x, cancel=True) == \ + (Poly(x + 2, x), Poly(x + 1, x)) + + +def test_as_poly_1t(): + assert as_poly_1t(2/t + t, t, z) in [ + Poly(t + 2*z, t, z), Poly(t + 2*z, z, t)] + assert as_poly_1t(2/t + 3/t**2, t, z) in [ + Poly(2*z + 3*z**2, t, z), Poly(2*z + 3*z**2, z, t)] + assert as_poly_1t(2/((exp(2) + 1)*t), t, z) in [ + Poly(2/(exp(2) + 1)*z, t, z), Poly(2/(exp(2) + 1)*z, z, t)] + assert as_poly_1t(2/((exp(2) + 1)*t) + t, t, z) in [ + Poly(t + 2/(exp(2) + 1)*z, t, z), Poly(t + 2/(exp(2) + 1)*z, z, t)] + assert as_poly_1t(S.Zero, t, z) == Poly(0, t, z) + + +def test_derivation(): + p = Poly(4*x**4*t**5 + (-4*x**3 - 4*x**4)*t**4 + (-3*x**2 + 2*x**3)*t**3 + + (2*x + 7*x**2 + 2*x**3)*t**2 + (1 - 4*x - 4*x**2)*t - 1 + 2*x, t) + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(-t**2 - 3/(2*x)*t + 1/(2*x), t)]}) + assert derivation(p, DE) == Poly(-20*x**4*t**6 + (2*x**3 + 16*x**4)*t**5 + + (21*x**2 + 12*x**3)*t**4 + (x*Rational(7, 2) - 25*x**2 - 12*x**3)*t**3 + + (-5 - x*Rational(15, 2) + 7*x**2)*t**2 - (3 - 8*x - 10*x**2 - 4*x**3)/(2*x)*t + + (1 - 4*x**2)/(2*x), t) + assert derivation(Poly(1, t), DE) == Poly(0, t) + assert derivation(Poly(t, t), DE) == DE.d + assert derivation(Poly(t**2 + 1/x*t + (1 - 2*x)/(4*x**2), t), DE) == \ + Poly(-2*t**3 - 4/x*t**2 - (5 - 2*x)/(2*x**2)*t - (1 - 2*x)/(2*x**3), t, domain='ZZ(x)') + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(1/x, t1), Poly(t, t)]}) + assert derivation(Poly(x*t*t1, t), DE) == Poly(t*t1 + x*t*t1 + t, t) + assert derivation(Poly(x*t*t1, t), DE, coefficientD=True) == \ + Poly((1 + t1)*t, t) + DE = DifferentialExtension(extension={'D': [Poly(1, x)]}) + assert derivation(Poly(x, x), DE) == Poly(1, x) + # Test basic option + assert derivation((x + 1)/(x - 1), DE, basic=True) == -2/(1 - 2*x + x**2) + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(t, t)]}) + assert derivation((t + 1)/(t - 1), DE, basic=True) == -2*t/(1 - 2*t + t**2) + assert derivation(t + 1, DE, basic=True) == t + + +def test_splitfactor(): + p = Poly(4*x**4*t**5 + (-4*x**3 - 4*x**4)*t**4 + (-3*x**2 + 2*x**3)*t**3 + + (2*x + 7*x**2 + 2*x**3)*t**2 + (1 - 4*x - 4*x**2)*t - 1 + 2*x, t, field=True) + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(-t**2 - 3/(2*x)*t + 1/(2*x), t)]}) + assert splitfactor(p, DE) == (Poly(4*x**4*t**3 + (-8*x**3 - 4*x**4)*t**2 + + (4*x**2 + 8*x**3)*t - 4*x**2, t, domain='ZZ(x)'), + Poly(t**2 + 1/x*t + (1 - 2*x)/(4*x**2), t, domain='ZZ(x)')) + assert splitfactor(Poly(x, t), DE) == (Poly(x, t), Poly(1, t)) + r = Poly(-4*x**4*z**2 + 4*x**6*z**2 - z*x**3 - 4*x**5*z**3 + 4*x**3*z**3 + x**4 + z*x**5 - x**6, t) + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(1/x, t)]}) + assert splitfactor(r, DE, coefficientD=True) == \ + (Poly(x*z - x**2 - z*x**3 + x**4, t), Poly(-x**2 + 4*x**2*z**2, t)) + assert splitfactor_sqf(r, DE, coefficientD=True) == \ + (((Poly(x*z - x**2 - z*x**3 + x**4, t), 1),), ((Poly(-x**2 + 4*x**2*z**2, t), 1),)) + assert splitfactor(Poly(0, t), DE) == (Poly(0, t), Poly(1, t)) + assert splitfactor_sqf(Poly(0, t), DE) == (((Poly(0, t), 1),), ()) + + +def test_canonical_representation(): + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(1 + t**2, t)]}) + assert canonical_representation(Poly(x - t, t), Poly(t**2, t), DE) == \ + (Poly(0, t, domain='ZZ[x]'), (Poly(0, t, domain='QQ[x]'), + Poly(1, t, domain='ZZ')), (Poly(-t + x, t, domain='QQ[x]'), + Poly(t**2, t))) + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(t**2 + 1, t)]}) + assert canonical_representation(Poly(t**5 + t**3 + x**2*t + 1, t), + Poly((t**2 + 1)**3, t), DE) == \ + (Poly(0, t, domain='ZZ[x]'), (Poly(t**5 + t**3 + x**2*t + 1, t, domain='QQ[x]'), + Poly(t**6 + 3*t**4 + 3*t**2 + 1, t, domain='QQ')), + (Poly(0, t, domain='QQ[x]'), Poly(1, t, domain='QQ'))) + + +def test_hermite_reduce(): + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(t**2 + 1, t)]}) + + assert hermite_reduce(Poly(x - t, t), Poly(t**2, t), DE) == \ + ((Poly(-x, t, domain='QQ[x]'), Poly(t, t, domain='QQ[x]')), + (Poly(0, t, domain='QQ[x]'), Poly(1, t, domain='QQ[x]')), + (Poly(-x, t, domain='QQ[x]'), Poly(1, t, domain='QQ[x]'))) + + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(-t**2 - t/x - (1 - nu**2/x**2), t)]}) + + assert hermite_reduce( + Poly(x**2*t**5 + x*t**4 - nu**2*t**3 - x*(x**2 + 1)*t**2 - (x**2 - nu**2)*t - x**5/4, t), + Poly(x**2*t**4 + x**2*(x**2 + 2)*t**2 + x**2 + x**4 + x**6/4, t), DE) == \ + ((Poly(-x**2 - 4, t, domain='ZZ(x,nu)'), Poly(4*t**2 + 2*x**2 + 4, t, domain='ZZ(x,nu)')), + (Poly((-2*nu**2 - x**4)*t - (2*x**3 + 2*x), t, domain='ZZ(x,nu)'), + Poly(2*x**2*t**2 + x**4 + 2*x**2, t, domain='ZZ(x,nu)')), + (Poly(x*t + 1, t, domain='ZZ(x,nu)'), Poly(x, t, domain='ZZ(x,nu)'))) + + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(1/x, t)]}) + + a = Poly((-2 + 3*x)*t**3 + (-1 + x)*t**2 + (-4*x + 2*x**2)*t + x**2, t) + d = Poly(x*t**6 - 4*x**2*t**5 + 6*x**3*t**4 - 4*x**4*t**3 + x**5*t**2, t) + + assert hermite_reduce(a, d, DE) == \ + ((Poly(3*t**2 + t + 3*x, t, domain='ZZ(x)'), + Poly(3*t**4 - 9*x*t**3 + 9*x**2*t**2 - 3*x**3*t, t, domain='ZZ(x)')), + (Poly(0, t, domain='ZZ(x)'), Poly(1, t, domain='ZZ(x)')), + (Poly(0, t, domain='ZZ(x)'), Poly(1, t, domain='ZZ(x)'))) + + assert hermite_reduce( + Poly(-t**2 + 2*t + 2, t, domain='ZZ(x)'), + Poly(-x*t**2 + 2*x*t - x, t, domain='ZZ(x)'), DE) == \ + ((Poly(3, t, domain='ZZ(x)'), Poly(t - 1, t, domain='ZZ(x)')), + (Poly(0, t, domain='ZZ(x)'), Poly(1, t, domain='ZZ(x)')), + (Poly(1, t, domain='ZZ(x)'), Poly(x, t, domain='ZZ(x)'))) + + assert hermite_reduce( + Poly(-x**2*t**6 + (-1 - 2*x**3 + x**4)*t**3 + (-3 - 3*x**4)*t**2 - + 2*x*t - x - 3*x**2, t, domain='ZZ(x)'), + Poly(x**4*t**6 - 2*x**2*t**3 + 1, t, domain='ZZ(x)'), DE) == \ + ((Poly(x**3*t + x**4 + 1, t, domain='ZZ(x)'), Poly(x**3*t**3 - x, t, domain='ZZ(x)')), + (Poly(0, t, domain='ZZ(x)'), Poly(1, t, domain='ZZ(x)')), + (Poly(-1, t, domain='ZZ(x)'), Poly(x**2, t, domain='ZZ(x)'))) + + assert hermite_reduce( + Poly((-2 + 3*x)*t**3 + (-1 + x)*t**2 + (-4*x + 2*x**2)*t + x**2, t), + Poly(x*t**6 - 4*x**2*t**5 + 6*x**3*t**4 - 4*x**4*t**3 + x**5*t**2, t), DE) == \ + ((Poly(3*t**2 + t + 3*x, t, domain='ZZ(x)'), + Poly(3*t**4 - 9*x*t**3 + 9*x**2*t**2 - 3*x**3*t, t, domain='ZZ(x)')), + (Poly(0, t, domain='ZZ(x)'), Poly(1, t, domain='ZZ(x)')), + (Poly(0, t, domain='ZZ(x)'), Poly(1, t, domain='ZZ(x)'))) + + +def test_polynomial_reduce(): + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(1 + t**2, t)]}) + assert polynomial_reduce(Poly(1 + x*t + t**2, t), DE) == \ + (Poly(t, t), Poly(x*t, t)) + assert polynomial_reduce(Poly(0, t), DE) == \ + (Poly(0, t), Poly(0, t)) + + +def test_laurent_series(): + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(1, t)]}) + a = Poly(36, t) + d = Poly((t - 2)*(t**2 - 1)**2, t) + F = Poly(t**2 - 1, t) + n = 2 + assert laurent_series(a, d, F, n, DE) == \ + (Poly(-3*t**3 + 3*t**2 - 6*t - 8, t), Poly(t**5 + t**4 - 2*t**3 - 2*t**2 + t + 1, t), + [Poly(-3*t**3 - 6*t**2, t, domain='QQ'), Poly(2*t**6 + 6*t**5 - 8*t**3, t, domain='QQ')]) + + +def test_recognize_derivative(): + DE = DifferentialExtension(extension={'D': [Poly(1, t)]}) + a = Poly(36, t) + d = Poly((t - 2)*(t**2 - 1)**2, t) + assert recognize_derivative(a, d, DE) == False + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(1/x, t)]}) + a = Poly(2, t) + d = Poly(t**2 - 1, t) + assert recognize_derivative(a, d, DE) == False + assert recognize_derivative(Poly(x*t, t), Poly(1, t), DE) == True + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(t**2 + 1, t)]}) + assert recognize_derivative(Poly(t, t), Poly(1, t), DE) == True + + +def test_recognize_log_derivative(): + + a = Poly(2*x**2 + 4*x*t - 2*t - x**2*t, t) + d = Poly((2*x + t)*(t + x**2), t) + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(t, t)]}) + assert recognize_log_derivative(a, d, DE, z) == True + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(1/x, t)]}) + assert recognize_log_derivative(Poly(t + 1, t), Poly(t + x, t), DE) == True + assert recognize_log_derivative(Poly(2, t), Poly(t**2 - 1, t), DE) == True + DE = DifferentialExtension(extension={'D': [Poly(1, x)]}) + assert recognize_log_derivative(Poly(1, x), Poly(x**2 - 2, x), DE) == False + assert recognize_log_derivative(Poly(1, x), Poly(x**2 + x, x), DE) == True + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(t**2 + 1, t)]}) + assert recognize_log_derivative(Poly(1, t), Poly(t**2 - 2, t), DE) == False + assert recognize_log_derivative(Poly(1, t), Poly(t**2 + t, t), DE) == False + + +def test_residue_reduce(): + a = Poly(2*t**2 - t - x**2, t) + d = Poly(t**3 - x**2*t, t) + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(1/x, t)], 'Tfuncs': [log]}) + assert residue_reduce(a, d, DE, z, invert=False) == \ + ([(Poly(z**2 - Rational(1, 4), z, domain='ZZ(x)'), + Poly((1 + 3*x*z - 6*z**2 - 2*x**2 + 4*x**2*z**2)*t - x*z + x**2 + + 2*x**2*z**2 - 2*z*x**3, t, domain='ZZ(z, x)'))], False) + assert residue_reduce(a, d, DE, z, invert=True) == \ + ([(Poly(z**2 - Rational(1, 4), z, domain='ZZ(x)'), Poly(t + 2*x*z, t))], False) + assert residue_reduce(Poly(-2/x, t), Poly(t**2 - 1, t,), DE, z, invert=False) == \ + ([(Poly(z**2 - 1, z, domain='QQ'), Poly(-2*z*t/x - 2/x, t, domain='ZZ(z,x)'))], True) + ans = residue_reduce(Poly(-2/x, t), Poly(t**2 - 1, t), DE, z, invert=True) + assert ans == ([(Poly(z**2 - 1, z, domain='QQ'), Poly(t + z, t))], True) + assert residue_reduce_to_basic(ans[0], DE, z) == -log(-1 + log(x)) + log(1 + log(x)) + + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(-t**2 - t/x - (1 - nu**2/x**2), t)]}) + # TODO: Skip or make faster + assert residue_reduce(Poly((-2*nu**2 - x**4)/(2*x**2)*t - (1 + x**2)/x, t), + Poly(t**2 + 1 + x**2/2, t), DE, z) == \ + ([(Poly(z + S.Half, z, domain='QQ'), Poly(t**2 + 1 + x**2/2, t, + domain='ZZ(x,nu)'))], True) + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(1 + t**2, t)]}) + assert residue_reduce(Poly(-2*x*t + 1 - x**2, t), + Poly(t**2 + 2*x*t + 1 + x**2, t), DE, z) == \ + ([(Poly(z**2 + Rational(1, 4), z), Poly(t + x + 2*z, t))], True) + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(t, t)]}) + assert residue_reduce(Poly(t, t), Poly(t + sqrt(2), t), DE, z) == \ + ([(Poly(z - 1, z, domain='QQ'), Poly(t + sqrt(2), t))], True) + + +def test_integrate_hyperexponential(): + # TODO: Add tests for integrate_hyperexponential() from the book + a = Poly((1 + 2*t1 + t1**2 + 2*t1**3)*t**2 + (1 + t1**2)*t + 1 + t1**2, t) + d = Poly(1, t) + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(1 + t1**2, t1), + Poly(t*(1 + t1**2), t)], 'Tfuncs': [tan, Lambda(i, exp(tan(i)))]}) + assert integrate_hyperexponential(a, d, DE) == \ + (exp(2*tan(x))*tan(x) + exp(tan(x)), 1 + t1**2, True) + a = Poly((t1**3 + (x + 1)*t1**2 + t1 + x + 2)*t, t) + assert integrate_hyperexponential(a, d, DE) == \ + ((x + tan(x))*exp(tan(x)), 0, True) + + a = Poly(t, t) + d = Poly(1, t) + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(2*x*t, t)], + 'Tfuncs': [Lambda(i, exp(x**2))]}) + + assert integrate_hyperexponential(a, d, DE) == \ + (0, NonElementaryIntegral(exp(x**2), x), False) + + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(t, t)], 'Tfuncs': [exp]}) + assert integrate_hyperexponential(a, d, DE) == (exp(x), 0, True) + + a = Poly(25*t**6 - 10*t**5 + 7*t**4 - 8*t**3 + 13*t**2 + 2*t - 1, t) + d = Poly(25*t**6 + 35*t**4 + 11*t**2 + 1, t) + assert integrate_hyperexponential(a, d, DE) == \ + (-(11 - 10*exp(x))/(5 + 25*exp(2*x)) + log(1 + exp(2*x)), -1, True) + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(t0, t0), Poly(t0*t, t)], + 'Tfuncs': [exp, Lambda(i, exp(exp(i)))]}) + assert integrate_hyperexponential(Poly(2*t0*t**2, t), Poly(1, t), DE) == (exp(2*exp(x)), 0, True) + + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(t0, t0), Poly(-t0*t, t)], + 'Tfuncs': [exp, Lambda(i, exp(-exp(i)))]}) + assert integrate_hyperexponential(Poly(-27*exp(9) - 162*t0*exp(9) + + 27*x*t0*exp(9), t), Poly((36*exp(18) + x**2*exp(18) - 12*x*exp(18))*t, t), DE) == \ + (27*exp(exp(x))/(-6*exp(9) + x*exp(9)), 0, True) + + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(t, t)], 'Tfuncs': [exp]}) + assert integrate_hyperexponential(Poly(x**2/2*t, t), Poly(1, t), DE) == \ + ((2 - 2*x + x**2)*exp(x)/2, 0, True) + assert integrate_hyperexponential(Poly(1 + t, t), Poly(t, t), DE) == \ + (-exp(-x), 1, True) # x - exp(-x) + assert integrate_hyperexponential(Poly(x, t), Poly(t + 1, t), DE) == \ + (0, NonElementaryIntegral(x/(1 + exp(x)), x), False) + + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(1/x, t0), Poly(2*x*t1, t1)], + 'Tfuncs': [log, Lambda(i, exp(i**2))]}) + + elem, nonelem, b = integrate_hyperexponential(Poly((8*x**7 - 12*x**5 + 6*x**3 - x)*t1**4 + + (8*t0*x**7 - 8*t0*x**6 - 4*t0*x**5 + 2*t0*x**3 + 2*t0*x**2 - t0*x + + 24*x**8 - 36*x**6 - 4*x**5 + 22*x**4 + 4*x**3 - 7*x**2 - x + 1)*t1**3 + + (8*t0*x**8 - 4*t0*x**6 - 16*t0*x**5 - 2*t0*x**4 + 12*t0*x**3 + + t0*x**2 - 2*t0*x + 24*x**9 - 36*x**7 - 8*x**6 + 22*x**5 + 12*x**4 - + 7*x**3 - 6*x**2 + x + 1)*t1**2 + (8*t0*x**8 - 8*t0*x**6 - 16*t0*x**5 + + 6*t0*x**4 + 10*t0*x**3 - 2*t0*x**2 - t0*x + 8*x**10 - 12*x**8 - 4*x**7 + + 2*x**6 + 12*x**5 + 3*x**4 - 9*x**3 - x**2 + 2*x)*t1 + 8*t0*x**7 - + 12*t0*x**6 - 4*t0*x**5 + 8*t0*x**4 - t0*x**2 - 4*x**7 + 4*x**6 + + 4*x**5 - 4*x**4 - x**3 + x**2, t1), Poly((8*x**7 - 12*x**5 + 6*x**3 - + x)*t1**4 + (24*x**8 + 8*x**7 - 36*x**6 - 12*x**5 + 18*x**4 + 6*x**3 - + 3*x**2 - x)*t1**3 + (24*x**9 + 24*x**8 - 36*x**7 - 36*x**6 + 18*x**5 + + 18*x**4 - 3*x**3 - 3*x**2)*t1**2 + (8*x**10 + 24*x**9 - 12*x**8 - + 36*x**7 + 6*x**6 + 18*x**5 - x**4 - 3*x**3)*t1 + 8*x**10 - 12*x**8 + + 6*x**6 - x**4, t1), DE) + + assert factor(elem) == -((x - 1)*log(x)/((x + exp(x**2))*(2*x**2 - 1))) + assert (nonelem, b) == (NonElementaryIntegral(exp(x**2)/(exp(x**2) + 1), x), False) + +def test_integrate_hyperexponential_polynomial(): + # Without proper cancellation within integrate_hyperexponential_polynomial(), + # this will take a long time to complete, and will return a complicated + # expression + p = Poly((-28*x**11*t0 - 6*x**8*t0 + 6*x**9*t0 - 15*x**8*t0**2 + + 15*x**7*t0**2 + 84*x**10*t0**2 - 140*x**9*t0**3 - 20*x**6*t0**3 + + 20*x**7*t0**3 - 15*x**6*t0**4 + 15*x**5*t0**4 + 140*x**8*t0**4 - + 84*x**7*t0**5 - 6*x**4*t0**5 + 6*x**5*t0**5 + x**3*t0**6 - x**4*t0**6 + + 28*x**6*t0**6 - 4*x**5*t0**7 + x**9 - x**10 + 4*x**12)/(-8*x**11*t0 + + 28*x**10*t0**2 - 56*x**9*t0**3 + 70*x**8*t0**4 - 56*x**7*t0**5 + + 28*x**6*t0**6 - 8*x**5*t0**7 + x**4*t0**8 + x**12)*t1**2 + + (-28*x**11*t0 - 12*x**8*t0 + 12*x**9*t0 - 30*x**8*t0**2 + + 30*x**7*t0**2 + 84*x**10*t0**2 - 140*x**9*t0**3 - 40*x**6*t0**3 + + 40*x**7*t0**3 - 30*x**6*t0**4 + 30*x**5*t0**4 + 140*x**8*t0**4 - + 84*x**7*t0**5 - 12*x**4*t0**5 + 12*x**5*t0**5 - 2*x**4*t0**6 + + 2*x**3*t0**6 + 28*x**6*t0**6 - 4*x**5*t0**7 + 2*x**9 - 2*x**10 + + 4*x**12)/(-8*x**11*t0 + 28*x**10*t0**2 - 56*x**9*t0**3 + + 70*x**8*t0**4 - 56*x**7*t0**5 + 28*x**6*t0**6 - 8*x**5*t0**7 + + x**4*t0**8 + x**12)*t1 + (-2*x**2*t0 + 2*x**3*t0 + x*t0**2 - + x**2*t0**2 + x**3 - x**4)/(-4*x**5*t0 + 6*x**4*t0**2 - 4*x**3*t0**3 + + x**2*t0**4 + x**6), t1, z, expand=False) + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(1/x, t0), Poly(2*x*t1, t1)]}) + assert integrate_hyperexponential_polynomial(p, DE, z) == ( + Poly((x - t0)*t1**2 + (-2*t0 + 2*x)*t1, t1), Poly(-2*x*t0 + x**2 + + t0**2, t1), True) + + DE = DifferentialExtension(extension={'D':[Poly(1, x), Poly(t0, t0)]}) + assert integrate_hyperexponential_polynomial(Poly(0, t0), DE, z) == ( + Poly(0, t0), Poly(1, t0), True) + + +def test_integrate_hyperexponential_returns_piecewise(): + a, b = symbols('a b') + DE = DifferentialExtension(a**x, x) + assert integrate_hyperexponential(DE.fa, DE.fd, DE) == (Piecewise( + (exp(x*log(a))/log(a), Ne(log(a), 0)), (x, True)), 0, True) + DE = DifferentialExtension(a**(b*x), x) + assert integrate_hyperexponential(DE.fa, DE.fd, DE) == (Piecewise( + (exp(b*x*log(a))/(b*log(a)), Ne(b*log(a), 0)), (x, True)), 0, True) + DE = DifferentialExtension(exp(a*x), x) + assert integrate_hyperexponential(DE.fa, DE.fd, DE) == (Piecewise( + (exp(a*x)/a, Ne(a, 0)), (x, True)), 0, True) + DE = DifferentialExtension(x*exp(a*x), x) + assert integrate_hyperexponential(DE.fa, DE.fd, DE) == (Piecewise( + ((a*x - 1)*exp(a*x)/a**2, Ne(a**2, 0)), (x**2/2, True)), 0, True) + DE = DifferentialExtension(x**2*exp(a*x), x) + assert integrate_hyperexponential(DE.fa, DE.fd, DE) == (Piecewise( + ((x**2*a**2 - 2*a*x + 2)*exp(a*x)/a**3, Ne(a**3, 0)), + (x**3/3, True)), 0, True) + DE = DifferentialExtension(x**y + z, y) + assert integrate_hyperexponential(DE.fa, DE.fd, DE) == (Piecewise( + (exp(log(x)*y)/log(x), Ne(log(x), 0)), (y, True)), z, True) + DE = DifferentialExtension(x**y + z + x**(2*y), y) + assert integrate_hyperexponential(DE.fa, DE.fd, DE) == (Piecewise( + ((exp(2*log(x)*y)*log(x) + + 2*exp(log(x)*y)*log(x))/(2*log(x)**2), Ne(2*log(x)**2, 0)), + (2*y, True), + ), z, True) + # TODO: Add a test where two different parts of the extension use a + # Piecewise, like y**x + z**x. + + +def test_issue_13947(): + a, t, s = symbols('a t s') + assert risch_integrate(2**(-pi)/(2**t + 1), t) == \ + 2**(-pi)*t - 2**(-pi)*log(2**t + 1)/log(2) + assert risch_integrate(a**(t - s)/(a**t + 1), t) == \ + exp(-s*log(a))*log(a**t + 1)/log(a) + + +def test_integrate_primitive(): + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(1/x, t)], + 'Tfuncs': [log]}) + assert integrate_primitive(Poly(t, t), Poly(1, t), DE) == (x*log(x), -1, True) + assert integrate_primitive(Poly(x, t), Poly(t, t), DE) == (0, NonElementaryIntegral(x/log(x), x), False) + + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(1/x, t1), Poly(1/(x + 1), t2)], + 'Tfuncs': [log, Lambda(i, log(i + 1))]}) + assert integrate_primitive(Poly(t1, t2), Poly(t2, t2), DE) == \ + (0, NonElementaryIntegral(log(x)/log(1 + x), x), False) + + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(1/x, t1), Poly(1/(x*t1), t2)], + 'Tfuncs': [log, Lambda(i, log(log(i)))]}) + assert integrate_primitive(Poly(t2, t2), Poly(t1, t2), DE) == \ + (0, NonElementaryIntegral(log(log(x))/log(x), x), False) + + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(1/x, t0)], + 'Tfuncs': [log]}) + assert integrate_primitive(Poly(x**2*t0**3 + (3*x**2 + x)*t0**2 + (3*x**2 + + 2*x)*t0 + x**2 + x, t0), Poly(x**2*t0**4 + 4*x**2*t0**3 + 6*x**2*t0**2 + + 4*x**2*t0 + x**2, t0), DE) == \ + (-1/(log(x) + 1), NonElementaryIntegral(1/(log(x) + 1), x), False) + +def test_integrate_hypertangent_polynomial(): + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(t**2 + 1, t)]}) + assert integrate_hypertangent_polynomial(Poly(t**2 + x*t + 1, t), DE) == \ + (Poly(t, t), Poly(x/2, t)) + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(a*(t**2 + 1), t)]}) + assert integrate_hypertangent_polynomial(Poly(t**5, t), DE) == \ + (Poly(1/(4*a)*t**4 - 1/(2*a)*t**2, t), Poly(1/(2*a), t)) + + +def test_integrate_nonlinear_no_specials(): + a, d, = Poly(x**2*t**5 + x*t**4 - nu**2*t**3 - x*(x**2 + 1)*t**2 - (x**2 - + nu**2)*t - x**5/4, t), Poly(x**2*t**4 + x**2*(x**2 + 2)*t**2 + x**2 + x**4 + x**6/4, t) + # f(x) == phi_nu(x), the logarithmic derivative of J_v, the Bessel function, + # which has no specials (see Chapter 5, note 4 of Bronstein's book). + f = Function('phi_nu') + DE = DifferentialExtension(extension={'D': [Poly(1, x), + Poly(-t**2 - t/x - (1 - nu**2/x**2), t)], 'Tfuncs': [f]}) + assert integrate_nonlinear_no_specials(a, d, DE) == \ + (-log(1 + f(x)**2 + x**2/2)/2 + (- 4 - x**2)/(4 + 2*x**2 + 4*f(x)**2), True) + assert integrate_nonlinear_no_specials(Poly(t, t), Poly(1, t), DE) == \ + (0, False) + + +def test_integer_powers(): + assert integer_powers([x, x/2, x**2 + 1, x*Rational(2, 3)]) == [ + (x/6, [(x, 6), (x/2, 3), (x*Rational(2, 3), 4)]), + (1 + x**2, [(1 + x**2, 1)])] + + +def test_DifferentialExtension_exp(): + assert DifferentialExtension(exp(x) + exp(x**2), x)._important_attrs == \ + (Poly(t1 + t0, t1), Poly(1, t1), [Poly(1, x,), Poly(t0, t0), + Poly(2*x*t1, t1)], [x, t0, t1], [Lambda(i, exp(i)), + Lambda(i, exp(i**2))], [], [None, 'exp', 'exp'], [None, x, x**2]) + assert DifferentialExtension(exp(x) + exp(2*x), x)._important_attrs == \ + (Poly(t0**2 + t0, t0), Poly(1, t0), [Poly(1, x), Poly(t0, t0)], [x, t0], + [Lambda(i, exp(i))], [], [None, 'exp'], [None, x]) + assert DifferentialExtension(exp(x) + exp(x/2), x)._important_attrs == \ + (Poly(t0**2 + t0, t0), Poly(1, t0), [Poly(1, x), Poly(t0/2, t0)], + [x, t0], [Lambda(i, exp(i/2))], [], [None, 'exp'], [None, x/2]) + assert DifferentialExtension(exp(x) + exp(x**2) + exp(x + x**2), x)._important_attrs == \ + (Poly((1 + t0)*t1 + t0, t1), Poly(1, t1), [Poly(1, x), Poly(t0, t0), + Poly(2*x*t1, t1)], [x, t0, t1], [Lambda(i, exp(i)), + Lambda(i, exp(i**2))], [], [None, 'exp', 'exp'], [None, x, x**2]) + assert DifferentialExtension(exp(x) + exp(x**2) + exp(x + x**2 + 1), x)._important_attrs == \ + (Poly((1 + S.Exp1*t0)*t1 + t0, t1), Poly(1, t1), [Poly(1, x), + Poly(t0, t0), Poly(2*x*t1, t1)], [x, t0, t1], [Lambda(i, exp(i)), + Lambda(i, exp(i**2))], [], [None, 'exp', 'exp'], [None, x, x**2]) + assert DifferentialExtension(exp(x) + exp(x**2) + exp(x/2 + x**2), x)._important_attrs == \ + (Poly((t0 + 1)*t1 + t0**2, t1), Poly(1, t1), [Poly(1, x), + Poly(t0/2, t0), Poly(2*x*t1, t1)], [x, t0, t1], + [Lambda(i, exp(i/2)), Lambda(i, exp(i**2))], + [(exp(x/2), sqrt(exp(x)))], [None, 'exp', 'exp'], [None, x/2, x**2]) + assert DifferentialExtension(exp(x) + exp(x**2) + exp(x/2 + x**2 + 3), x)._important_attrs == \ + (Poly((t0*exp(3) + 1)*t1 + t0**2, t1), Poly(1, t1), [Poly(1, x), + Poly(t0/2, t0), Poly(2*x*t1, t1)], [x, t0, t1], [Lambda(i, exp(i/2)), + Lambda(i, exp(i**2))], [(exp(x/2), sqrt(exp(x)))], [None, 'exp', 'exp'], + [None, x/2, x**2]) + assert DifferentialExtension(sqrt(exp(x)), x)._important_attrs == \ + (Poly(t0, t0), Poly(1, t0), [Poly(1, x), Poly(t0/2, t0)], [x, t0], + [Lambda(i, exp(i/2))], [(exp(x/2), sqrt(exp(x)))], [None, 'exp'], [None, x/2]) + + assert DifferentialExtension(exp(x/2), x)._important_attrs == \ + (Poly(t0, t0), Poly(1, t0), [Poly(1, x), Poly(t0/2, t0)], [x, t0], + [Lambda(i, exp(i/2))], [], [None, 'exp'], [None, x/2]) + + +def test_DifferentialExtension_log(): + assert DifferentialExtension(log(x)*log(x + 1)*log(2*x**2 + 2*x), x)._important_attrs == \ + (Poly(t0*t1**2 + (t0*log(2) + t0**2)*t1, t1), Poly(1, t1), + [Poly(1, x), Poly(1/x, t0), + Poly(1/(x + 1), t1, expand=False)], [x, t0, t1], + [Lambda(i, log(i)), Lambda(i, log(i + 1))], [], [None, 'log', 'log'], + [None, x, x + 1]) + assert DifferentialExtension(x**x*log(x), x)._important_attrs == \ + (Poly(t0*t1, t1), Poly(1, t1), [Poly(1, x), Poly(1/x, t0), + Poly((1 + t0)*t1, t1)], [x, t0, t1], [Lambda(i, log(i)), + Lambda(i, exp(t0*i))], [(exp(x*log(x)), x**x)], [None, 'log', 'exp'], + [None, x, t0*x]) + + +def test_DifferentialExtension_symlog(): + # See comment on test_risch_integrate below + assert DifferentialExtension(log(x**x), x)._important_attrs == \ + (Poly(t0*x, t1), Poly(1, t1), [Poly(1, x), Poly(1/x, t0), Poly((t0 + + 1)*t1, t1)], [x, t0, t1], [Lambda(i, log(i)), Lambda(i, exp(i*t0))], + [(exp(x*log(x)), x**x)], [None, 'log', 'exp'], [None, x, t0*x]) + assert DifferentialExtension(log(x**y), x)._important_attrs == \ + (Poly(y*t0, t0), Poly(1, t0), [Poly(1, x), Poly(1/x, t0)], [x, t0], + [Lambda(i, log(i))], [(y*log(x), log(x**y))], [None, 'log'], + [None, x]) + assert DifferentialExtension(log(sqrt(x)), x)._important_attrs == \ + (Poly(t0, t0), Poly(2, t0), [Poly(1, x), Poly(1/x, t0)], [x, t0], + [Lambda(i, log(i))], [(log(x)/2, log(sqrt(x)))], [None, 'log'], + [None, x]) + + +def test_DifferentialExtension_handle_first(): + assert DifferentialExtension(exp(x)*log(x), x, handle_first='log')._important_attrs == \ + (Poly(t0*t1, t1), Poly(1, t1), [Poly(1, x), Poly(1/x, t0), + Poly(t1, t1)], [x, t0, t1], [Lambda(i, log(i)), Lambda(i, exp(i))], + [], [None, 'log', 'exp'], [None, x, x]) + assert DifferentialExtension(exp(x)*log(x), x, handle_first='exp')._important_attrs == \ + (Poly(t0*t1, t1), Poly(1, t1), [Poly(1, x), Poly(t0, t0), + Poly(1/x, t1)], [x, t0, t1], [Lambda(i, exp(i)), Lambda(i, log(i))], + [], [None, 'exp', 'log'], [None, x, x]) + + # This one must have the log first, regardless of what we set it to + # (because the log is inside of the exponential: x**x == exp(x*log(x))) + assert DifferentialExtension(-x**x*log(x)**2 + x**x - x**x/x, x, + handle_first='exp')._important_attrs == \ + DifferentialExtension(-x**x*log(x)**2 + x**x - x**x/x, x, + handle_first='log')._important_attrs == \ + (Poly((-1 + x - x*t0**2)*t1, t1), Poly(x, t1), + [Poly(1, x), Poly(1/x, t0), Poly((1 + t0)*t1, t1)], [x, t0, t1], + [Lambda(i, log(i)), Lambda(i, exp(t0*i))], [(exp(x*log(x)), x**x)], + [None, 'log', 'exp'], [None, x, t0*x]) + + +def test_DifferentialExtension_all_attrs(): + # Test 'unimportant' attributes + DE = DifferentialExtension(exp(x)*log(x), x, handle_first='exp') + assert DE.f == exp(x)*log(x) + assert DE.newf == t0*t1 + assert DE.x == x + assert DE.cases == ['base', 'exp', 'primitive'] + assert DE.case == 'primitive' + + assert DE.level == -1 + assert DE.t == t1 == DE.T[DE.level] + assert DE.d == Poly(1/x, t1) == DE.D[DE.level] + raises(ValueError, lambda: DE.increment_level()) + DE.decrement_level() + assert DE.level == -2 + assert DE.t == t0 == DE.T[DE.level] + assert DE.d == Poly(t0, t0) == DE.D[DE.level] + assert DE.case == 'exp' + DE.decrement_level() + assert DE.level == -3 + assert DE.t == x == DE.T[DE.level] == DE.x + assert DE.d == Poly(1, x) == DE.D[DE.level] + assert DE.case == 'base' + raises(ValueError, lambda: DE.decrement_level()) + DE.increment_level() + DE.increment_level() + assert DE.level == -1 + assert DE.t == t1 == DE.T[DE.level] + assert DE.d == Poly(1/x, t1) == DE.D[DE.level] + assert DE.case == 'primitive' + + # Test methods + assert DE.indices('log') == [2] + assert DE.indices('exp') == [1] + + +def test_DifferentialExtension_extension_flag(): + raises(ValueError, lambda: DifferentialExtension(extension={'T': [x, t]})) + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(t, t)]}) + assert DE._important_attrs == (None, None, [Poly(1, x), Poly(t, t)], [x, t], + None, None, None, None) + assert DE.d == Poly(t, t) + assert DE.t == t + assert DE.level == -1 + assert DE.cases == ['base', 'exp'] + assert DE.x == x + assert DE.case == 'exp' + + DE = DifferentialExtension(extension={'D': [Poly(1, x), Poly(t, t)], + 'exts': [None, 'exp'], 'extargs': [None, x]}) + assert DE._important_attrs == (None, None, [Poly(1, x), Poly(t, t)], [x, t], + None, None, [None, 'exp'], [None, x]) + raises(ValueError, lambda: DifferentialExtension()) + + +def test_DifferentialExtension_misc(): + # Odd ends + assert DifferentialExtension(sin(y)*exp(x), x)._important_attrs == \ + (Poly(sin(y)*t0, t0, domain='ZZ[sin(y)]'), Poly(1, t0, domain='ZZ'), + [Poly(1, x, domain='ZZ'), Poly(t0, t0, domain='ZZ')], [x, t0], + [Lambda(i, exp(i))], [], [None, 'exp'], [None, x]) + raises(NotImplementedError, lambda: DifferentialExtension(sin(x), x)) + assert DifferentialExtension(10**x, x)._important_attrs == \ + (Poly(t0, t0), Poly(1, t0), [Poly(1, x), Poly(log(10)*t0, t0)], [x, t0], + [Lambda(i, exp(i*log(10)))], [(exp(x*log(10)), 10**x)], [None, 'exp'], + [None, x*log(10)]) + assert DifferentialExtension(log(x) + log(x**2), x)._important_attrs in [ + (Poly(3*t0, t0), Poly(2, t0), [Poly(1, x), Poly(2/x, t0)], [x, t0], + [Lambda(i, log(i**2))], [], [None, ], [], [1], [x**2]), + (Poly(3*t0, t0), Poly(1, t0), [Poly(1, x), Poly(1/x, t0)], [x, t0], + [Lambda(i, log(i))], [], [None, 'log'], [None, x])] + assert DifferentialExtension(S.Zero, x)._important_attrs == \ + (Poly(0, x), Poly(1, x), [Poly(1, x)], [x], [], [], [None], [None]) + assert DifferentialExtension(tan(atan(x).rewrite(log)), x)._important_attrs == \ + (Poly(x, x), Poly(1, x), [Poly(1, x)], [x], [], [], [None], [None]) + + +def test_DifferentialExtension_Rothstein(): + # Rothstein's integral + f = (2581284541*exp(x) + 1757211400)/(39916800*exp(3*x) + + 119750400*exp(x)**2 + 119750400*exp(x) + 39916800)*exp(1/(exp(x) + 1) - 10*x) + assert DifferentialExtension(f, x)._important_attrs == \ + (Poly((1757211400 + 2581284541*t0)*t1, t1), Poly(39916800 + + 119750400*t0 + 119750400*t0**2 + 39916800*t0**3, t1), + [Poly(1, x), Poly(t0, t0), Poly(-(10 + 21*t0 + 10*t0**2)/(1 + 2*t0 + + t0**2)*t1, t1, domain='ZZ(t0)')], [x, t0, t1], + [Lambda(i, exp(i)), Lambda(i, exp(1/(t0 + 1) - 10*i))], [], + [None, 'exp', 'exp'], [None, x, 1/(t0 + 1) - 10*x]) + + +class _TestingException(Exception): + """Dummy Exception class for testing.""" + pass + + +def test_DecrementLevel(): + DE = DifferentialExtension(x*log(exp(x) + 1), x) + assert DE.level == -1 + assert DE.t == t1 + assert DE.d == Poly(t0/(t0 + 1), t1) + assert DE.case == 'primitive' + + with DecrementLevel(DE): + assert DE.level == -2 + assert DE.t == t0 + assert DE.d == Poly(t0, t0) + assert DE.case == 'exp' + + with DecrementLevel(DE): + assert DE.level == -3 + assert DE.t == x + assert DE.d == Poly(1, x) + assert DE.case == 'base' + + assert DE.level == -2 + assert DE.t == t0 + assert DE.d == Poly(t0, t0) + assert DE.case == 'exp' + + assert DE.level == -1 + assert DE.t == t1 + assert DE.d == Poly(t0/(t0 + 1), t1) + assert DE.case == 'primitive' + + # Test that __exit__ is called after an exception correctly + try: + with DecrementLevel(DE): + raise _TestingException + except _TestingException: + pass + else: + raise AssertionError("Did not raise.") + + assert DE.level == -1 + assert DE.t == t1 + assert DE.d == Poly(t0/(t0 + 1), t1) + assert DE.case == 'primitive' + + +def test_risch_integrate(): + assert risch_integrate(t0*exp(x), x) == t0*exp(x) + assert risch_integrate(sin(x), x, rewrite_complex=True) == -exp(I*x)/2 - exp(-I*x)/2 + + # From my GSoC writeup + assert risch_integrate((1 + 2*x**2 + x**4 + 2*x**3*exp(2*x**2))/ + (x**4*exp(x**2) + 2*x**2*exp(x**2) + exp(x**2)), x) == \ + NonElementaryIntegral(exp(-x**2), x) + exp(x**2)/(1 + x**2) + + + assert risch_integrate(0, x) == 0 + + # also tests prde_cancel() + e1 = log(x/exp(x) + 1) + ans1 = risch_integrate(e1, x) + assert ans1 == (x*log(x*exp(-x) + 1) + NonElementaryIntegral((x**2 - x)/(x + exp(x)), x)) + assert cancel(diff(ans1, x) - e1) == 0 + + # also tests issue #10798 + e2 = (log(-1/y)/2 - log(1/y)/2)/y - (log(1 - 1/y)/2 - log(1 + 1/y)/2)/y + ans2 = risch_integrate(e2, y) + assert ans2 == log(1/y)*log(1 - 1/y)/2 - log(1/y)*log(1 + 1/y)/2 + \ + NonElementaryIntegral((I*pi*y**2 - 2*y*log(1/y) - I*pi)/(2*y**3 - 2*y), y) + assert expand_log(cancel(diff(ans2, y) - e2), force=True) == 0 + + # These are tested here in addition to in test_DifferentialExtension above + # (symlogs) to test that backsubs works correctly. The integrals should be + # written in terms of the original logarithms in the integrands. + + # XXX: Unfortunately, making backsubs work on this one is a little + # trickier, because x**x is converted to exp(x*log(x)), and so log(x**x) + # is converted to x*log(x). (x**2*log(x)).subs(x*log(x), log(x**x)) is + # smart enough, the issue is that these splits happen at different places + # in the algorithm. Maybe a heuristic is in order + assert risch_integrate(log(x**x), x) == x**2*log(x)/2 - x**2/4 + + assert risch_integrate(log(x**y), x) == x*log(x**y) - x*y + assert risch_integrate(log(sqrt(x)), x) == x*log(sqrt(x)) - x/2 + + +def test_risch_integrate_float(): + assert risch_integrate((-60*exp(x) - 19.2*exp(4*x))*exp(4*x), x) == -2.4*exp(8*x) - 12.0*exp(5*x) + + +def test_NonElementaryIntegral(): + assert isinstance(risch_integrate(exp(x**2), x), NonElementaryIntegral) + assert isinstance(risch_integrate(x**x*log(x), x), NonElementaryIntegral) + # Make sure methods of Integral still give back a NonElementaryIntegral + assert isinstance(NonElementaryIntegral(x**x*t0, x).subs(t0, log(x)), NonElementaryIntegral) + + +def test_xtothex(): + a = risch_integrate(x**x, x) + assert a == NonElementaryIntegral(x**x, x) + assert isinstance(a, NonElementaryIntegral) + + +def test_DifferentialExtension_equality(): + DE1 = DE2 = DifferentialExtension(log(x), x) + assert DE1 == DE2 + + +def test_DifferentialExtension_printing(): + DE = DifferentialExtension(exp(2*x**2) + log(exp(x**2) + 1), x) + assert repr(DE) == ("DifferentialExtension(dict([('f', exp(2*x**2) + log(exp(x**2) + 1)), " + "('x', x), ('T', [x, t0, t1]), ('D', [Poly(1, x, domain='ZZ'), Poly(2*x*t0, t0, domain='ZZ[x]'), " + "Poly(2*t0*x/(t0 + 1), t1, domain='ZZ(x,t0)')]), ('fa', Poly(t1 + t0**2, t1, domain='ZZ[t0]')), " + "('fd', Poly(1, t1, domain='ZZ')), ('Tfuncs', [Lambda(i, exp(i**2)), Lambda(i, log(t0 + 1))]), " + "('backsubs', []), ('exts', [None, 'exp', 'log']), ('extargs', [None, x**2, t0 + 1]), " + "('cases', ['base', 'exp', 'primitive']), ('case', 'primitive'), ('t', t1), " + "('d', Poly(2*t0*x/(t0 + 1), t1, domain='ZZ(x,t0)')), ('newf', t0**2 + t1), ('level', -1), " + "('dummy', False)]))") + + assert str(DE) == ("DifferentialExtension({fa=Poly(t1 + t0**2, t1, domain='ZZ[t0]'), " + "fd=Poly(1, t1, domain='ZZ'), D=[Poly(1, x, domain='ZZ'), Poly(2*x*t0, t0, domain='ZZ[x]'), " + "Poly(2*t0*x/(t0 + 1), t1, domain='ZZ(x,t0)')]})") + + +def test_issue_23948(): + f = ( + ( (-2*x**5 + 28*x**4 - 144*x**3 + 324*x**2 - 270*x)*log(x)**2 + +(-4*x**6 + 56*x**5 - 288*x**4 + 648*x**3 - 540*x**2)*log(x) + +(2*x**5 - 28*x**4 + 144*x**3 - 324*x**2 + 270*x)*exp(x) + +(2*x**5 - 28*x**4 + 144*x**3 - 324*x**2 + 270*x)*log(5) + -2*x**7 + 26*x**6 - 116*x**5 + 180*x**4 + 54*x**3 - 270*x**2 + )*log(-log(x)**2 - 2*x*log(x) + exp(x) + log(5) - x**2 - x)**2 + +( (4*x**5 - 44*x**4 + 168*x**3 - 216*x**2 - 108*x + 324)*log(x) + +(-2*x**5 + 24*x**4 - 108*x**3 + 216*x**2 - 162*x)*exp(x) + +4*x**6 - 42*x**5 + 144*x**4 - 108*x**3 - 324*x**2 + 486*x + )*log(-log(x)**2 - 2*x*log(x) + exp(x) + log(5) - x**2 - x) + )/(x*exp(x)**2*log(x)**2 + 2*x**2*exp(x)**2*log(x) - x*exp(x)**3 + +(-x*log(5) + x**3 + x**2)*exp(x)**2) + + F = ((x**4 - 12*x**3 + 54*x**2 - 108*x + 81)*exp(-2*x) + *log(-x**2 - 2*x*log(x) - x + exp(x) - log(x)**2 + log(5))**2) + + assert risch_integrate(f, x) == F diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/integrals/tests/test_singularityfunctions.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/integrals/tests/test_singularityfunctions.py new file mode 100644 index 0000000000000000000000000000000000000000..587e5f104cbf095f851ec538601ca146377b51ae --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/integrals/tests/test_singularityfunctions.py @@ -0,0 +1,22 @@ +from sympy.integrals.singularityfunctions import singularityintegrate +from sympy.core.function import Function +from sympy.core.symbol import symbols +from sympy.functions.special.singularity_functions import SingularityFunction + +x, a, n, y = symbols('x a n y') +f = Function('f') + + +def test_singularityintegrate(): + assert singularityintegrate(x, x) is None + assert singularityintegrate(x + SingularityFunction(x, 9, 1), x) is None + + assert 4*singularityintegrate(SingularityFunction(x, a, 3), x) == 4*SingularityFunction(x, a, 4)/4 + assert singularityintegrate(5*SingularityFunction(x, 5, -2), x) == 5*SingularityFunction(x, 5, -1) + assert singularityintegrate(6*SingularityFunction(x, 5, -1), x) == 6*SingularityFunction(x, 5, 0) + assert singularityintegrate(x*SingularityFunction(x, 0, -1), x) == 0 + assert singularityintegrate((x - 5)*SingularityFunction(x, 5, -1), x) == 0 + assert singularityintegrate(SingularityFunction(x, 0, -1) * f(x), x) == f(0) * SingularityFunction(x, 0, 0) + assert singularityintegrate(SingularityFunction(x, 1, -1) * f(x), x) == f(1) * SingularityFunction(x, 1, 0) + assert singularityintegrate(y*SingularityFunction(x, 0, -1)**2, x) == \ + y*SingularityFunction(0, 0, -1)*SingularityFunction(x, 0, 0) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/integrals/tests/test_transforms.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/integrals/tests/test_transforms.py new file mode 100644 index 0000000000000000000000000000000000000000..fdf7192594bad532c93ffb31e5b2f05cfd8970f1 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/integrals/tests/test_transforms.py @@ -0,0 +1,637 @@ +from sympy.integrals.transforms import ( + mellin_transform, inverse_mellin_transform, + fourier_transform, inverse_fourier_transform, + sine_transform, inverse_sine_transform, + cosine_transform, inverse_cosine_transform, + hankel_transform, inverse_hankel_transform, + FourierTransform, SineTransform, CosineTransform, InverseFourierTransform, + InverseSineTransform, InverseCosineTransform, IntegralTransformError) +from sympy.integrals.laplace import ( + laplace_transform, inverse_laplace_transform) +from sympy.core.function import Function, expand_mul +from sympy.core import EulerGamma +from sympy.core.numbers import I, Rational, oo, pi +from sympy.core.singleton import S +from sympy.core.symbol import Symbol, symbols +from sympy.functions.combinatorial.factorials import factorial +from sympy.functions.elementary.complexes import re, unpolarify +from sympy.functions.elementary.exponential import exp, exp_polar, log +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.trigonometric import atan, cos, sin, tan +from sympy.functions.special.bessel import besseli, besselj, besselk, bessely +from sympy.functions.special.delta_functions import Heaviside +from sympy.functions.special.error_functions import erf, expint +from sympy.functions.special.gamma_functions import gamma +from sympy.functions.special.hyper import meijerg +from sympy.simplify.gammasimp import gammasimp +from sympy.simplify.hyperexpand import hyperexpand +from sympy.simplify.trigsimp import trigsimp +from sympy.testing.pytest import XFAIL, slow, skip, raises +from sympy.abc import x, s, a, b, c, d + + +nu, beta, rho = symbols('nu beta rho') + + +def test_undefined_function(): + from sympy.integrals.transforms import MellinTransform + f = Function('f') + assert mellin_transform(f(x), x, s) == MellinTransform(f(x), x, s) + assert mellin_transform(f(x) + exp(-x), x, s) == \ + (MellinTransform(f(x), x, s) + gamma(s + 1)/s, (0, oo), True) + + +def test_free_symbols(): + f = Function('f') + assert mellin_transform(f(x), x, s).free_symbols == {s} + assert mellin_transform(f(x)*a, x, s).free_symbols == {s, a} + + +def test_as_integral(): + from sympy.integrals.integrals import Integral + f = Function('f') + assert mellin_transform(f(x), x, s).rewrite('Integral') == \ + Integral(x**(s - 1)*f(x), (x, 0, oo)) + assert fourier_transform(f(x), x, s).rewrite('Integral') == \ + Integral(f(x)*exp(-2*I*pi*s*x), (x, -oo, oo)) + assert laplace_transform(f(x), x, s, noconds=True).rewrite('Integral') == \ + Integral(f(x)*exp(-s*x), (x, 0, oo)) + assert str(2*pi*I*inverse_mellin_transform(f(s), s, x, (a, b)).rewrite('Integral')) \ + == "Integral(f(s)/x**s, (s, _c - oo*I, _c + oo*I))" + assert str(2*pi*I*inverse_laplace_transform(f(s), s, x).rewrite('Integral')) == \ + "Integral(f(s)*exp(s*x), (s, _c - oo*I, _c + oo*I))" + assert inverse_fourier_transform(f(s), s, x).rewrite('Integral') == \ + Integral(f(s)*exp(2*I*pi*s*x), (s, -oo, oo)) + +# NOTE this is stuck in risch because meijerint cannot handle it + + +@slow +@XFAIL +def test_mellin_transform_fail(): + skip("Risch takes forever.") + + MT = mellin_transform + + bpos = symbols('b', positive=True) + # bneg = symbols('b', negative=True) + + expr = (sqrt(x + b**2) + b)**a/sqrt(x + b**2) + # TODO does not work with bneg, argument wrong. Needs changes to matching. + assert MT(expr.subs(b, -bpos), x, s) == \ + ((-1)**(a + 1)*2**(a + 2*s)*bpos**(a + 2*s - 1)*gamma(a + s) + *gamma(1 - a - 2*s)/gamma(1 - s), + (-re(a), -re(a)/2 + S.Half), True) + + expr = (sqrt(x + b**2) + b)**a + assert MT(expr.subs(b, -bpos), x, s) == \ + ( + 2**(a + 2*s)*a*bpos**(a + 2*s)*gamma(-a - 2* + s)*gamma(a + s)/gamma(-s + 1), + (-re(a), -re(a)/2), True) + + # Test exponent 1: + assert MT(expr.subs({b: -bpos, a: 1}), x, s) == \ + (-bpos**(2*s + 1)*gamma(s)*gamma(-s - S.Half)/(2*sqrt(pi)), + (-1, Rational(-1, 2)), True) + + +def test_mellin_transform(): + from sympy.functions.elementary.miscellaneous import (Max, Min) + MT = mellin_transform + + bpos = symbols('b', positive=True) + + # 8.4.2 + assert MT(x**nu*Heaviside(x - 1), x, s) == \ + (-1/(nu + s), (-oo, -re(nu)), True) + assert MT(x**nu*Heaviside(1 - x), x, s) == \ + (1/(nu + s), (-re(nu), oo), True) + + assert MT((1 - x)**(beta - 1)*Heaviside(1 - x), x, s) == \ + (gamma(beta)*gamma(s)/gamma(beta + s), (0, oo), re(beta) > 0) + assert MT((x - 1)**(beta - 1)*Heaviside(x - 1), x, s) == \ + (gamma(beta)*gamma(1 - beta - s)/gamma(1 - s), + (-oo, 1 - re(beta)), re(beta) > 0) + + assert MT((1 + x)**(-rho), x, s) == \ + (gamma(s)*gamma(rho - s)/gamma(rho), (0, re(rho)), True) + + assert MT(abs(1 - x)**(-rho), x, s) == ( + 2*sin(pi*rho/2)*gamma(1 - rho)* + cos(pi*(s - rho/2))*gamma(s)*gamma(rho-s)/pi, + (0, re(rho)), re(rho) < 1) + mt = MT((1 - x)**(beta - 1)*Heaviside(1 - x) + + a*(x - 1)**(beta - 1)*Heaviside(x - 1), x, s) + assert mt[1], mt[2] == ((0, -re(beta) + 1), re(beta) > 0) + + assert MT((x**a - b**a)/(x - b), x, s)[0] == \ + pi*b**(a + s - 1)*sin(pi*a)/(sin(pi*s)*sin(pi*(a + s))) + assert MT((x**a - bpos**a)/(x - bpos), x, s) == \ + (pi*bpos**(a + s - 1)*sin(pi*a)/(sin(pi*s)*sin(pi*(a + s))), + (Max(0, -re(a)), Min(1, 1 - re(a))), True) + + expr = (sqrt(x + b**2) + b)**a + assert MT(expr.subs(b, bpos), x, s) == \ + (-a*(2*bpos)**(a + 2*s)*gamma(s)*gamma(-a - 2*s)/gamma(-a - s + 1), + (0, -re(a)/2), True) + + expr = (sqrt(x + b**2) + b)**a/sqrt(x + b**2) + assert MT(expr.subs(b, bpos), x, s) == \ + (2**(a + 2*s)*bpos**(a + 2*s - 1)*gamma(s) + *gamma(1 - a - 2*s)/gamma(1 - a - s), + (0, -re(a)/2 + S.Half), True) + + # 8.4.2 + assert MT(exp(-x), x, s) == (gamma(s), (0, oo), True) + assert MT(exp(-1/x), x, s) == (gamma(-s), (-oo, 0), True) + + # 8.4.5 + assert MT(log(x)**4*Heaviside(1 - x), x, s) == (24/s**5, (0, oo), True) + assert MT(log(x)**3*Heaviside(x - 1), x, s) == (6/s**4, (-oo, 0), True) + assert MT(log(x + 1), x, s) == (pi/(s*sin(pi*s)), (-1, 0), True) + assert MT(log(1/x + 1), x, s) == (pi/(s*sin(pi*s)), (0, 1), True) + assert MT(log(abs(1 - x)), x, s) == (pi/(s*tan(pi*s)), (-1, 0), True) + assert MT(log(abs(1 - 1/x)), x, s) == (pi/(s*tan(pi*s)), (0, 1), True) + + # 8.4.14 + assert MT(erf(sqrt(x)), x, s) == \ + (-gamma(s + S.Half)/(sqrt(pi)*s), (Rational(-1, 2), 0), True) + + +def test_mellin_transform2(): + MT = mellin_transform + # TODO we cannot currently do these (needs summation of 3F2(-1)) + # this also implies that they cannot be written as a single g-function + # (although this is possible) + mt = MT(log(x)/(x + 1), x, s) + assert mt[1:] == ((0, 1), True) + assert not hyperexpand(mt[0], allow_hyper=True).has(meijerg) + mt = MT(log(x)**2/(x + 1), x, s) + assert mt[1:] == ((0, 1), True) + assert not hyperexpand(mt[0], allow_hyper=True).has(meijerg) + mt = MT(log(x)/(x + 1)**2, x, s) + assert mt[1:] == ((0, 2), True) + assert not hyperexpand(mt[0], allow_hyper=True).has(meijerg) + + +@slow +def test_mellin_transform_bessel(): + from sympy.functions.elementary.miscellaneous import Max + MT = mellin_transform + + # 8.4.19 + assert MT(besselj(a, 2*sqrt(x)), x, s) == \ + (gamma(a/2 + s)/gamma(a/2 - s + 1), (-re(a)/2, Rational(3, 4)), True) + assert MT(sin(sqrt(x))*besselj(a, sqrt(x)), x, s) == \ + (2**a*gamma(-2*s + S.Half)*gamma(a/2 + s + S.Half)/( + gamma(-a/2 - s + 1)*gamma(a - 2*s + 1)), ( + -re(a)/2 - S.Half, Rational(1, 4)), True) + assert MT(cos(sqrt(x))*besselj(a, sqrt(x)), x, s) == \ + (2**a*gamma(a/2 + s)*gamma(-2*s + S.Half)/( + gamma(-a/2 - s + S.Half)*gamma(a - 2*s + 1)), ( + -re(a)/2, Rational(1, 4)), True) + assert MT(besselj(a, sqrt(x))**2, x, s) == \ + (gamma(a + s)*gamma(S.Half - s) + / (sqrt(pi)*gamma(1 - s)*gamma(1 + a - s)), + (-re(a), S.Half), True) + assert MT(besselj(a, sqrt(x))*besselj(-a, sqrt(x)), x, s) == \ + (gamma(s)*gamma(S.Half - s) + / (sqrt(pi)*gamma(1 - a - s)*gamma(1 + a - s)), + (0, S.Half), True) + # NOTE: prudnikov gives the strip below as (1/2 - re(a), 1). As far as + # I can see this is wrong (since besselj(z) ~ 1/sqrt(z) for z large) + assert MT(besselj(a - 1, sqrt(x))*besselj(a, sqrt(x)), x, s) == \ + (gamma(1 - s)*gamma(a + s - S.Half) + / (sqrt(pi)*gamma(Rational(3, 2) - s)*gamma(a - s + S.Half)), + (S.Half - re(a), S.Half), True) + assert MT(besselj(a, sqrt(x))*besselj(b, sqrt(x)), x, s) == \ + (4**s*gamma(1 - 2*s)*gamma((a + b)/2 + s) + / (gamma(1 - s + (b - a)/2)*gamma(1 - s + (a - b)/2) + *gamma( 1 - s + (a + b)/2)), + (-(re(a) + re(b))/2, S.Half), True) + assert MT(besselj(a, sqrt(x))**2 + besselj(-a, sqrt(x))**2, x, s)[1:] == \ + ((Max(re(a), -re(a)), S.Half), True) + + # Section 8.4.20 + assert MT(bessely(a, 2*sqrt(x)), x, s) == \ + (-cos(pi*(a/2 - s))*gamma(s - a/2)*gamma(s + a/2)/pi, + (Max(-re(a)/2, re(a)/2), Rational(3, 4)), True) + assert MT(sin(sqrt(x))*bessely(a, sqrt(x)), x, s) == \ + (-4**s*sin(pi*(a/2 - s))*gamma(S.Half - 2*s) + * gamma((1 - a)/2 + s)*gamma((1 + a)/2 + s) + / (sqrt(pi)*gamma(1 - s - a/2)*gamma(1 - s + a/2)), + (Max(-(re(a) + 1)/2, (re(a) - 1)/2), Rational(1, 4)), True) + assert MT(cos(sqrt(x))*bessely(a, sqrt(x)), x, s) == \ + (-4**s*cos(pi*(a/2 - s))*gamma(s - a/2)*gamma(s + a/2)*gamma(S.Half - 2*s) + / (sqrt(pi)*gamma(S.Half - s - a/2)*gamma(S.Half - s + a/2)), + (Max(-re(a)/2, re(a)/2), Rational(1, 4)), True) + assert MT(besselj(a, sqrt(x))*bessely(a, sqrt(x)), x, s) == \ + (-cos(pi*s)*gamma(s)*gamma(a + s)*gamma(S.Half - s) + / (pi**S('3/2')*gamma(1 + a - s)), + (Max(-re(a), 0), S.Half), True) + assert MT(besselj(a, sqrt(x))*bessely(b, sqrt(x)), x, s) == \ + (-4**s*cos(pi*(a/2 - b/2 + s))*gamma(1 - 2*s) + * gamma(a/2 - b/2 + s)*gamma(a/2 + b/2 + s) + / (pi*gamma(a/2 - b/2 - s + 1)*gamma(a/2 + b/2 - s + 1)), + (Max((-re(a) + re(b))/2, (-re(a) - re(b))/2), S.Half), True) + # NOTE bessely(a, sqrt(x))**2 and bessely(a, sqrt(x))*bessely(b, sqrt(x)) + # are a mess (no matter what way you look at it ...) + assert MT(bessely(a, sqrt(x))**2, x, s)[1:] == \ + ((Max(-re(a), 0, re(a)), S.Half), True) + + # Section 8.4.22 + # TODO we can't do any of these (delicate cancellation) + + # Section 8.4.23 + assert MT(besselk(a, 2*sqrt(x)), x, s) == \ + (gamma( + s - a/2)*gamma(s + a/2)/2, (Max(-re(a)/2, re(a)/2), oo), True) + assert MT(besselj(a, 2*sqrt(2*sqrt(x)))*besselk( + a, 2*sqrt(2*sqrt(x))), x, s) == (4**(-s)*gamma(2*s)* + gamma(a/2 + s)/(2*gamma(a/2 - s + 1)), (Max(0, -re(a)/2), oo), True) + # TODO bessely(a, x)*besselk(a, x) is a mess + assert MT(besseli(a, sqrt(x))*besselk(a, sqrt(x)), x, s) == \ + (gamma(s)*gamma( + a + s)*gamma(-s + S.Half)/(2*sqrt(pi)*gamma(a - s + 1)), + (Max(-re(a), 0), S.Half), True) + assert MT(besseli(b, sqrt(x))*besselk(a, sqrt(x)), x, s) == \ + (2**(2*s - 1)*gamma(-2*s + 1)*gamma(-a/2 + b/2 + s)* \ + gamma(a/2 + b/2 + s)/(gamma(-a/2 + b/2 - s + 1)* \ + gamma(a/2 + b/2 - s + 1)), (Max(-re(a)/2 - re(b)/2, \ + re(a)/2 - re(b)/2), S.Half), True) + + # TODO products of besselk are a mess + + mt = MT(exp(-x/2)*besselk(a, x/2), x, s) + mt0 = gammasimp(trigsimp(gammasimp(mt[0].expand(func=True)))) + assert mt0 == 2*pi**Rational(3, 2)*cos(pi*s)*gamma(S.Half - s)/( + (cos(2*pi*a) - cos(2*pi*s))*gamma(-a - s + 1)*gamma(a - s + 1)) + assert mt[1:] == ((Max(-re(a), re(a)), oo), True) + # TODO exp(x/2)*besselk(a, x/2) [etc] cannot currently be done + # TODO various strange products of special orders + + +@slow +def test_expint(): + from sympy.functions.elementary.miscellaneous import Max + from sympy.functions.special.error_functions import Ci, E1, Si + from sympy.simplify.simplify import simplify + + aneg = Symbol('a', negative=True) + u = Symbol('u', polar=True) + + assert mellin_transform(E1(x), x, s) == (gamma(s)/s, (0, oo), True) + assert inverse_mellin_transform(gamma(s)/s, s, x, + (0, oo)).rewrite(expint).expand() == E1(x) + assert mellin_transform(expint(a, x), x, s) == \ + (gamma(s)/(a + s - 1), (Max(1 - re(a), 0), oo), True) + # XXX IMT has hickups with complicated strips ... + assert simplify(unpolarify( + inverse_mellin_transform(gamma(s)/(aneg + s - 1), s, x, + (1 - aneg, oo)).rewrite(expint).expand(func=True))) == \ + expint(aneg, x) + + assert mellin_transform(Si(x), x, s) == \ + (-2**s*sqrt(pi)*gamma(s/2 + S.Half)/( + 2*s*gamma(-s/2 + 1)), (-1, 0), True) + assert inverse_mellin_transform(-2**s*sqrt(pi)*gamma((s + 1)/2) + /(2*s*gamma(-s/2 + 1)), s, x, (-1, 0)) \ + == Si(x) + + assert mellin_transform(Ci(sqrt(x)), x, s) == \ + (-2**(2*s - 1)*sqrt(pi)*gamma(s)/(s*gamma(-s + S.Half)), (0, 1), True) + assert inverse_mellin_transform( + -4**s*sqrt(pi)*gamma(s)/(2*s*gamma(-s + S.Half)), + s, u, (0, 1)).expand() == Ci(sqrt(u)) + + +@slow +def test_inverse_mellin_transform(): + from sympy.core.function import expand + from sympy.functions.elementary.miscellaneous import (Max, Min) + from sympy.functions.elementary.trigonometric import cot + from sympy.simplify.powsimp import powsimp + from sympy.simplify.simplify import simplify + IMT = inverse_mellin_transform + + assert IMT(gamma(s), s, x, (0, oo)) == exp(-x) + assert IMT(gamma(-s), s, x, (-oo, 0)) == exp(-1/x) + assert simplify(IMT(s/(2*s**2 - 2), s, x, (2, oo))) == \ + (x**2 + 1)*Heaviside(1 - x)/(4*x) + + # test passing "None" + assert IMT(1/(s**2 - 1), s, x, (-1, None)) == \ + -x*Heaviside(-x + 1)/2 - Heaviside(x - 1)/(2*x) + assert IMT(1/(s**2 - 1), s, x, (None, 1)) == \ + -x*Heaviside(-x + 1)/2 - Heaviside(x - 1)/(2*x) + + # test expansion of sums + assert IMT(gamma(s) + gamma(s - 1), s, x, (1, oo)) == (x + 1)*exp(-x)/x + + # test factorisation of polys + r = symbols('r', real=True) + assert IMT(1/(s**2 + 1), s, exp(-x), (None, oo) + ).subs(x, r).rewrite(sin).simplify() \ + == sin(r)*Heaviside(1 - exp(-r)) + + # test multiplicative substitution + _a, _b = symbols('a b', positive=True) + assert IMT(_b**(-s/_a)*factorial(s/_a)/s, s, x, (0, oo)) == exp(-_b*x**_a) + assert IMT(factorial(_a/_b + s/_b)/(_a + s), s, x, (-_a, oo)) == x**_a*exp(-x**_b) + + def simp_pows(expr): + return simplify(powsimp(expand_mul(expr, deep=False), force=True)).replace(exp_polar, exp) + + # Now test the inverses of all direct transforms tested above + + # Section 8.4.2 + nu = symbols('nu', real=True) + assert IMT(-1/(nu + s), s, x, (-oo, None)) == x**nu*Heaviside(x - 1) + assert IMT(1/(nu + s), s, x, (None, oo)) == x**nu*Heaviside(1 - x) + assert simp_pows(IMT(gamma(beta)*gamma(s)/gamma(s + beta), s, x, (0, oo))) \ + == (1 - x)**(beta - 1)*Heaviside(1 - x) + assert simp_pows(IMT(gamma(beta)*gamma(1 - beta - s)/gamma(1 - s), + s, x, (-oo, None))) \ + == (x - 1)**(beta - 1)*Heaviside(x - 1) + assert simp_pows(IMT(gamma(s)*gamma(rho - s)/gamma(rho), s, x, (0, None))) \ + == (1/(x + 1))**rho + expr = IMT(d**c*d**(s - 1)*sin(pi*c) + *gamma(s)*gamma(s + c)*gamma(1 - s)*gamma(1 - s - c)/pi, + s, x, (Max(-re(c), 0), Min(1 - re(c), 1))) + assert powsimp(expand_mul(expr, deep=False)).replace(exp_polar, exp).simplify() \ + == (-d**c + x**c)/(-d + x) + + assert simplify(IMT(1/sqrt(pi)*(-c/2)*gamma(s)*gamma((1 - c)/2 - s) + *gamma(-c/2 - s)/gamma(1 - c - s), + s, x, (0, -re(c)/2))) == \ + (1 + sqrt(x + 1))**c + assert simplify(IMT(2**(a + 2*s)*b**(a + 2*s - 1)*gamma(s)*gamma(1 - a - 2*s) + /gamma(1 - a - s), s, x, (0, (-re(a) + 1)/2))) == \ + b**(a - 1)*(b**2*(sqrt(1 + x/b**2) + 1)**a + x*(sqrt(1 + x/b**2) + 1 + )**(a - 1))/(b**2 + x) + assert simplify(IMT(-2**(c + 2*s)*c*b**(c + 2*s)*gamma(s)*gamma(-c - 2*s) + / gamma(-c - s + 1), s, x, (0, -re(c)/2))) == \ + b**c*(sqrt(1 + x/b**2) + 1)**c + + # Section 8.4.5 + assert IMT(24/s**5, s, x, (0, oo)) == log(x)**4*Heaviside(1 - x) + assert expand(IMT(6/s**4, s, x, (-oo, 0)), force=True) == \ + log(x)**3*Heaviside(x - 1) + assert IMT(pi/(s*sin(pi*s)), s, x, (-1, 0)) == log(x + 1) + assert IMT(pi/(s*sin(pi*s/2)), s, x, (-2, 0)) == log(x**2 + 1) + assert IMT(pi/(s*sin(2*pi*s)), s, x, (Rational(-1, 2), 0)) == log(sqrt(x) + 1) + assert IMT(pi/(s*sin(pi*s)), s, x, (0, 1)) == log(1 + 1/x) + + # TODO + def mysimp(expr): + from sympy.core.function import expand + from sympy.simplify.powsimp import powsimp + from sympy.simplify.simplify import logcombine + return expand( + powsimp(logcombine(expr, force=True), force=True, deep=True), + force=True).replace(exp_polar, exp) + + assert mysimp(mysimp(IMT(pi/(s*tan(pi*s)), s, x, (-1, 0)))) in [ + log(1 - x)*Heaviside(1 - x) + log(x - 1)*Heaviside(x - 1), + log(x)*Heaviside(x - 1) + log(1 - 1/x)*Heaviside(x - 1) + log(-x + + 1)*Heaviside(-x + 1)] + # test passing cot + assert mysimp(IMT(pi*cot(pi*s)/s, s, x, (0, 1))) in [ + log(1/x - 1)*Heaviside(1 - x) + log(1 - 1/x)*Heaviside(x - 1), + -log(x)*Heaviside(-x + 1) + log(1 - 1/x)*Heaviside(x - 1) + log(-x + + 1)*Heaviside(-x + 1), ] + + # 8.4.14 + assert IMT(-gamma(s + S.Half)/(sqrt(pi)*s), s, x, (Rational(-1, 2), 0)) == \ + erf(sqrt(x)) + + # 8.4.19 + assert simplify(IMT(gamma(a/2 + s)/gamma(a/2 - s + 1), s, x, (-re(a)/2, Rational(3, 4)))) \ + == besselj(a, 2*sqrt(x)) + assert simplify(IMT(2**a*gamma(S.Half - 2*s)*gamma(s + (a + 1)/2) + / (gamma(1 - s - a/2)*gamma(1 - 2*s + a)), + s, x, (-(re(a) + 1)/2, Rational(1, 4)))) == \ + sin(sqrt(x))*besselj(a, sqrt(x)) + assert simplify(IMT(2**a*gamma(a/2 + s)*gamma(S.Half - 2*s) + / (gamma(S.Half - s - a/2)*gamma(1 - 2*s + a)), + s, x, (-re(a)/2, Rational(1, 4)))) == \ + cos(sqrt(x))*besselj(a, sqrt(x)) + # TODO this comes out as an amazing mess, but simplifies nicely + assert simplify(IMT(gamma(a + s)*gamma(S.Half - s) + / (sqrt(pi)*gamma(1 - s)*gamma(1 + a - s)), + s, x, (-re(a), S.Half))) == \ + besselj(a, sqrt(x))**2 + assert simplify(IMT(gamma(s)*gamma(S.Half - s) + / (sqrt(pi)*gamma(1 - s - a)*gamma(1 + a - s)), + s, x, (0, S.Half))) == \ + besselj(-a, sqrt(x))*besselj(a, sqrt(x)) + assert simplify(IMT(4**s*gamma(-2*s + 1)*gamma(a/2 + b/2 + s) + / (gamma(-a/2 + b/2 - s + 1)*gamma(a/2 - b/2 - s + 1) + *gamma(a/2 + b/2 - s + 1)), + s, x, (-(re(a) + re(b))/2, S.Half))) == \ + besselj(a, sqrt(x))*besselj(b, sqrt(x)) + + # Section 8.4.20 + # TODO this can be further simplified! + assert simplify(IMT(-2**(2*s)*cos(pi*a/2 - pi*b/2 + pi*s)*gamma(-2*s + 1) * + gamma(a/2 - b/2 + s)*gamma(a/2 + b/2 + s) / + (pi*gamma(a/2 - b/2 - s + 1)*gamma(a/2 + b/2 - s + 1)), + s, x, + (Max(-re(a)/2 - re(b)/2, -re(a)/2 + re(b)/2), S.Half))) == \ + besselj(a, sqrt(x))*-(besselj(-b, sqrt(x)) - + besselj(b, sqrt(x))*cos(pi*b))/sin(pi*b) + # TODO more + + # for coverage + + assert IMT(pi/cos(pi*s), s, x, (0, S.Half)) == sqrt(x)/(x + 1) + + +def test_fourier_transform(): + from sympy.core.function import (expand, expand_complex, expand_trig) + from sympy.polys.polytools import factor + from sympy.simplify.simplify import simplify + FT = fourier_transform + IFT = inverse_fourier_transform + + def simp(x): + return simplify(expand_trig(expand_complex(expand(x)))) + + def sinc(x): + return sin(pi*x)/(pi*x) + k = symbols('k', real=True) + f = Function("f") + + # TODO for this to work with real a, need to expand abs(a*x) to abs(a)*abs(x) + a = symbols('a', positive=True) + b = symbols('b', positive=True) + + posk = symbols('posk', positive=True) + + # Test unevaluated form + assert fourier_transform(f(x), x, k) == FourierTransform(f(x), x, k) + assert inverse_fourier_transform( + f(k), k, x) == InverseFourierTransform(f(k), k, x) + + # basic examples from wikipedia + assert simp(FT(Heaviside(1 - abs(2*a*x)), x, k)) == sinc(k/a)/a + # TODO IFT is a *mess* + assert simp(FT(Heaviside(1 - abs(a*x))*(1 - abs(a*x)), x, k)) == sinc(k/a)**2/a + # TODO IFT + + assert factor(FT(exp(-a*x)*Heaviside(x), x, k), extension=I) == \ + 1/(a + 2*pi*I*k) + # NOTE: the ift comes out in pieces + assert IFT(1/(a + 2*pi*I*x), x, posk, + noconds=False) == (exp(-a*posk), True) + assert IFT(1/(a + 2*pi*I*x), x, -posk, + noconds=False) == (0, True) + assert IFT(1/(a + 2*pi*I*x), x, symbols('k', negative=True), + noconds=False) == (0, True) + # TODO IFT without factoring comes out as meijer g + + assert factor(FT(x*exp(-a*x)*Heaviside(x), x, k), extension=I) == \ + 1/(a + 2*pi*I*k)**2 + assert FT(exp(-a*x)*sin(b*x)*Heaviside(x), x, k) == \ + b/(b**2 + (a + 2*I*pi*k)**2) + + assert FT(exp(-a*x**2), x, k) == sqrt(pi)*exp(-pi**2*k**2/a)/sqrt(a) + assert IFT(sqrt(pi/a)*exp(-(pi*k)**2/a), k, x) == exp(-a*x**2) + assert FT(exp(-a*abs(x)), x, k) == 2*a/(a**2 + 4*pi**2*k**2) + # TODO IFT (comes out as meijer G) + + # TODO besselj(n, x), n an integer > 0 actually can be done... + + # TODO are there other common transforms (no distributions!)? + + +def test_sine_transform(): + t = symbols("t") + w = symbols("w") + a = symbols("a") + f = Function("f") + + # Test unevaluated form + assert sine_transform(f(t), t, w) == SineTransform(f(t), t, w) + assert inverse_sine_transform( + f(w), w, t) == InverseSineTransform(f(w), w, t) + + assert sine_transform(1/sqrt(t), t, w) == 1/sqrt(w) + assert inverse_sine_transform(1/sqrt(w), w, t) == 1/sqrt(t) + + assert sine_transform((1/sqrt(t))**3, t, w) == 2*sqrt(w) + + assert sine_transform(t**(-a), t, w) == 2**( + -a + S.Half)*w**(a - 1)*gamma(-a/2 + 1)/gamma((a + 1)/2) + assert inverse_sine_transform(2**(-a + S( + 1)/2)*w**(a - 1)*gamma(-a/2 + 1)/gamma(a/2 + S.Half), w, t) == t**(-a) + + assert sine_transform( + exp(-a*t), t, w) == sqrt(2)*w/(sqrt(pi)*(a**2 + w**2)) + assert inverse_sine_transform( + sqrt(2)*w/(sqrt(pi)*(a**2 + w**2)), w, t) == exp(-a*t) + + assert sine_transform( + log(t)/t, t, w) == sqrt(2)*sqrt(pi)*-(log(w**2) + 2*EulerGamma)/4 + + assert sine_transform( + t*exp(-a*t**2), t, w) == sqrt(2)*w*exp(-w**2/(4*a))/(4*a**Rational(3, 2)) + assert inverse_sine_transform( + sqrt(2)*w*exp(-w**2/(4*a))/(4*a**Rational(3, 2)), w, t) == t*exp(-a*t**2) + + +def test_cosine_transform(): + from sympy.functions.special.error_functions import (Ci, Si) + + t = symbols("t") + w = symbols("w") + a = symbols("a") + f = Function("f") + + # Test unevaluated form + assert cosine_transform(f(t), t, w) == CosineTransform(f(t), t, w) + assert inverse_cosine_transform( + f(w), w, t) == InverseCosineTransform(f(w), w, t) + + assert cosine_transform(1/sqrt(t), t, w) == 1/sqrt(w) + assert inverse_cosine_transform(1/sqrt(w), w, t) == 1/sqrt(t) + + assert cosine_transform(1/( + a**2 + t**2), t, w) == sqrt(2)*sqrt(pi)*exp(-a*w)/(2*a) + + assert cosine_transform(t**( + -a), t, w) == 2**(-a + S.Half)*w**(a - 1)*gamma((-a + 1)/2)/gamma(a/2) + assert inverse_cosine_transform(2**(-a + S( + 1)/2)*w**(a - 1)*gamma(-a/2 + S.Half)/gamma(a/2), w, t) == t**(-a) + + assert cosine_transform( + exp(-a*t), t, w) == sqrt(2)*a/(sqrt(pi)*(a**2 + w**2)) + assert inverse_cosine_transform( + sqrt(2)*a/(sqrt(pi)*(a**2 + w**2)), w, t) == exp(-a*t) + + assert cosine_transform(exp(-a*sqrt(t))*cos(a*sqrt( + t)), t, w) == a*exp(-a**2/(2*w))/(2*w**Rational(3, 2)) + + assert cosine_transform(1/(a + t), t, w) == sqrt(2)*( + (-2*Si(a*w) + pi)*sin(a*w)/2 - cos(a*w)*Ci(a*w))/sqrt(pi) + assert inverse_cosine_transform(sqrt(2)*meijerg(((S.Half, 0), ()), ( + (S.Half, 0, 0), (S.Half,)), a**2*w**2/4)/(2*pi), w, t) == 1/(a + t) + + assert cosine_transform(1/sqrt(a**2 + t**2), t, w) == sqrt(2)*meijerg( + ((S.Half,), ()), ((0, 0), (S.Half,)), a**2*w**2/4)/(2*sqrt(pi)) + assert inverse_cosine_transform(sqrt(2)*meijerg(((S.Half,), ()), ((0, 0), (S.Half,)), a**2*w**2/4)/(2*sqrt(pi)), w, t) == 1/(t*sqrt(a**2/t**2 + 1)) + + +def test_hankel_transform(): + r = Symbol("r") + k = Symbol("k") + nu = Symbol("nu") + m = Symbol("m") + a = symbols("a") + + assert hankel_transform(1/r, r, k, 0) == 1/k + assert inverse_hankel_transform(1/k, k, r, 0) == 1/r + + assert hankel_transform( + 1/r**m, r, k, 0) == 2**(-m + 1)*k**(m - 2)*gamma(-m/2 + 1)/gamma(m/2) + assert inverse_hankel_transform( + 2**(-m + 1)*k**(m - 2)*gamma(-m/2 + 1)/gamma(m/2), k, r, 0) == r**(-m) + + assert hankel_transform(1/r**m, r, k, nu) == ( + 2*2**(-m)*k**(m - 2)*gamma(-m/2 + nu/2 + 1)/gamma(m/2 + nu/2)) + assert inverse_hankel_transform(2**(-m + 1)*k**( + m - 2)*gamma(-m/2 + nu/2 + 1)/gamma(m/2 + nu/2), k, r, nu) == r**(-m) + + assert hankel_transform(r**nu*exp(-a*r), r, k, nu) == \ + 2**(nu + 1)*a*k**(-nu - 3)*(a**2/k**2 + 1)**(-nu - S( + 3)/2)*gamma(nu + Rational(3, 2))/sqrt(pi) + assert inverse_hankel_transform( + 2**(nu + 1)*a*k**(-nu - 3)*(a**2/k**2 + 1)**(-nu - Rational(3, 2))*gamma( + nu + Rational(3, 2))/sqrt(pi), k, r, nu) == r**nu*exp(-a*r) + + +def test_issue_7181(): + assert mellin_transform(1/(1 - x), x, s) != None + + +def test_issue_8882(): + # This is the original test. + # from sympy import diff, Integral, integrate + # r = Symbol('r') + # psi = 1/r*sin(r)*exp(-(a0*r)) + # h = -1/2*diff(psi, r, r) - 1/r*psi + # f = 4*pi*psi*h*r**2 + # assert integrate(f, (r, -oo, 3), meijerg=True).has(Integral) == True + + # To save time, only the critical part is included. + F = -a**(-s + 1)*(4 + 1/a**2)**(-s/2)*sqrt(1/a**2)*exp(-s*I*pi)* \ + sin(s*atan(sqrt(1/a**2)/2))*gamma(s) + raises(IntegralTransformError, lambda: + inverse_mellin_transform(F, s, x, (-1, oo), + **{'as_meijerg': True, 'needeval': True})) + + +def test_issue_12591(): + x, y = symbols("x y", real=True) + assert fourier_transform(exp(x), x, y) == FourierTransform(exp(x), x, y) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/integrals/tests/test_trigonometry.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/integrals/tests/test_trigonometry.py new file mode 100644 index 0000000000000000000000000000000000000000..857c8503c5aa690d66e9cdab49730b4ea655a52c --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/integrals/tests/test_trigonometry.py @@ -0,0 +1,98 @@ +from sympy.core import Ne, Rational, Symbol +from sympy.functions import sin, cos, tan, csc, sec, cot, log, Piecewise +from sympy.integrals.trigonometry import trigintegrate + +x = Symbol('x') + + +def test_trigintegrate_odd(): + assert trigintegrate(Rational(1), x) == x + assert trigintegrate(x, x) is None + assert trigintegrate(x**2, x) is None + + assert trigintegrate(sin(x), x) == -cos(x) + assert trigintegrate(cos(x), x) == sin(x) + + assert trigintegrate(sin(3*x), x) == -cos(3*x)/3 + assert trigintegrate(cos(3*x), x) == sin(3*x)/3 + + y = Symbol('y') + assert trigintegrate(sin(y*x), x) == Piecewise( + (-cos(y*x)/y, Ne(y, 0)), (0, True)) + assert trigintegrate(cos(y*x), x) == Piecewise( + (sin(y*x)/y, Ne(y, 0)), (x, True)) + assert trigintegrate(sin(y*x)**2, x) == Piecewise( + ((x*y/2 - sin(x*y)*cos(x*y)/2)/y, Ne(y, 0)), (0, True)) + assert trigintegrate(sin(y*x)*cos(y*x), x) == Piecewise( + (sin(x*y)**2/(2*y), Ne(y, 0)), (0, True)) + assert trigintegrate(cos(y*x)**2, x) == Piecewise( + ((x*y/2 + sin(x*y)*cos(x*y)/2)/y, Ne(y, 0)), (x, True)) + + y = Symbol('y', positive=True) + # TODO: remove conds='none' below. For this to work we would have to rule + # out (e.g. by trying solve) the condition y = 0, incompatible with + # y.is_positive being True. + assert trigintegrate(sin(y*x), x, conds='none') == -cos(y*x)/y + assert trigintegrate(cos(y*x), x, conds='none') == sin(y*x)/y + + assert trigintegrate(sin(x)*cos(x), x) == sin(x)**2/2 + assert trigintegrate(sin(x)*cos(x)**2, x) == -cos(x)**3/3 + assert trigintegrate(sin(x)**2*cos(x), x) == sin(x)**3/3 + + # check if it selects right function to substitute, + # so the result is kept simple + assert trigintegrate(sin(x)**7 * cos(x), x) == sin(x)**8/8 + assert trigintegrate(sin(x) * cos(x)**7, x) == -cos(x)**8/8 + + assert trigintegrate(sin(x)**7 * cos(x)**3, x) == \ + -sin(x)**10/10 + sin(x)**8/8 + assert trigintegrate(sin(x)**3 * cos(x)**7, x) == \ + cos(x)**10/10 - cos(x)**8/8 + + # both n, m are odd and -ve, and not necessarily equal + assert trigintegrate(sin(x)**-1*cos(x)**-1, x) == \ + -log(sin(x)**2 - 1)/2 + log(sin(x)) + + +def test_trigintegrate_even(): + assert trigintegrate(sin(x)**2, x) == x/2 - cos(x)*sin(x)/2 + assert trigintegrate(cos(x)**2, x) == x/2 + cos(x)*sin(x)/2 + + assert trigintegrate(sin(3*x)**2, x) == x/2 - cos(3*x)*sin(3*x)/6 + assert trigintegrate(cos(3*x)**2, x) == x/2 + cos(3*x)*sin(3*x)/6 + assert trigintegrate(sin(x)**2 * cos(x)**2, x) == \ + x/8 - sin(2*x)*cos(2*x)/16 + + assert trigintegrate(sin(x)**4 * cos(x)**2, x) == \ + x/16 - sin(x) *cos(x)/16 - sin(x)**3*cos(x)/24 + \ + sin(x)**5*cos(x)/6 + + assert trigintegrate(sin(x)**2 * cos(x)**4, x) == \ + x/16 + cos(x) *sin(x)/16 + cos(x)**3*sin(x)/24 - \ + cos(x)**5*sin(x)/6 + + assert trigintegrate(sin(x)**(-4), x) == -2*cos(x)/(3*sin(x)) \ + - cos(x)/(3*sin(x)**3) + + assert trigintegrate(cos(x)**(-6), x) == sin(x)/(5*cos(x)**5) \ + + 4*sin(x)/(15*cos(x)**3) + 8*sin(x)/(15*cos(x)) + + +def test_trigintegrate_mixed(): + assert trigintegrate(sin(x)*sec(x), x) == -log(cos(x)) + assert trigintegrate(sin(x)*csc(x), x) == x + assert trigintegrate(sin(x)*cot(x), x) == sin(x) + + assert trigintegrate(cos(x)*sec(x), x) == x + assert trigintegrate(cos(x)*csc(x), x) == log(sin(x)) + assert trigintegrate(cos(x)*tan(x), x) == -cos(x) + assert trigintegrate(cos(x)*cot(x), x) == log(cos(x) - 1)/2 \ + - log(cos(x) + 1)/2 + cos(x) + assert trigintegrate(cot(x)*cos(x)**2, x) == log(sin(x)) - sin(x)**2/2 + + +def test_trigintegrate_symbolic(): + n = Symbol('n', integer=True) + assert trigintegrate(cos(x)**n, x) is None + assert trigintegrate(sin(x)**n, x) is None + assert trigintegrate(cot(x)**n, x) is None diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/interactive/__pycache__/__init__.cpython-312.pyc b/tool_server/.venv/lib/python3.12/site-packages/sympy/interactive/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..2eaf6002f3f6b808f375ab65ecb59830df0c9877 Binary files /dev/null and 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assert int_to_Integer("0b101") == 'Integer (0b101 )' + assert int_to_Integer("ab1 + 1 + '1 + 2'") == "ab1 +Integer (1 )+'1 + 2'" + assert int_to_Integer("(2 + \n3)") == '(Integer (2 )+\nInteger (3 ))' + assert int_to_Integer("2 + 2.0 + 2j + 2e-10") == 'Integer (2 )+2.0 +2j +2e-10 ' diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/interactive/tests/test_ipython.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/interactive/tests/test_ipython.py new file mode 100644 index 0000000000000000000000000000000000000000..ac4734406d2f1197732a9dcbdd94b2b34e9fe170 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/interactive/tests/test_ipython.py @@ -0,0 +1,278 @@ +"""Tests of tools for setting up interactive IPython sessions. """ + +from sympy.interactive.session import (init_ipython_session, + enable_automatic_symbols, enable_automatic_int_sympification) + +from sympy.core import Symbol, Rational, Integer +from sympy.external import import_module +from sympy.testing.pytest import raises + +# TODO: The code below could be made more granular with something like: +# +# @requires('IPython', version=">=1.0") +# def test_automatic_symbols(ipython): + +ipython = import_module("IPython", min_module_version="1.0") + +if not ipython: + #bin/test will not execute any tests now + disabled = True + +# WARNING: These tests will modify the existing IPython environment. IPython +# uses a single instance for its interpreter, so there is no way to isolate +# the test from another IPython session. It also means that if this test is +# run twice in the same Python session it will fail. This isn't usually a +# problem because the test suite is run in a subprocess by default, but if the +# tests are run with subprocess=False it can pollute the current IPython +# session. See the discussion in issue #15149. + +def test_automatic_symbols(): + # NOTE: Because of the way the hook works, you have to use run_cell(code, + # True). This means that the code must have no Out, or it will be printed + # during the tests. + app = init_ipython_session() + app.run_cell("from sympy import *") + + enable_automatic_symbols(app) + + symbol = "verylongsymbolname" + assert symbol not in app.user_ns + app.run_cell("a = %s" % symbol, True) + assert symbol not in app.user_ns + app.run_cell("a = type(%s)" % symbol, True) + assert app.user_ns['a'] == Symbol + app.run_cell("%s = Symbol('%s')" % (symbol, symbol), True) + assert symbol in app.user_ns + + # Check that built-in names aren't overridden + app.run_cell("a = all == __builtin__.all", True) + assert "all" not in app.user_ns + assert app.user_ns['a'] is True + + # Check that SymPy names aren't overridden + app.run_cell("import sympy") + app.run_cell("a = factorial == sympy.factorial", True) + assert app.user_ns['a'] is True + + +def test_int_to_Integer(): + # XXX: Warning, don't test with == here. 0.5 == Rational(1, 2) is True! + app = init_ipython_session() + app.run_cell("from sympy import Integer") + app.run_cell("a = 1") + assert isinstance(app.user_ns['a'], int) + + enable_automatic_int_sympification(app) + app.run_cell("a = 1/2") + assert isinstance(app.user_ns['a'], Rational) + app.run_cell("a = 1") + assert isinstance(app.user_ns['a'], Integer) + app.run_cell("a = int(1)") + assert isinstance(app.user_ns['a'], int) + app.run_cell("a = (1/\n2)") + assert app.user_ns['a'] == Rational(1, 2) + # TODO: How can we test that the output of a SyntaxError is the original + # input, not the transformed input? + + +def test_ipythonprinting(): + # Initialize and setup IPython session + app = init_ipython_session() + app.run_cell("ip = get_ipython()") + app.run_cell("inst = ip.instance()") + app.run_cell("format = inst.display_formatter.format") + app.run_cell("from sympy import Symbol") + + # Printing without printing extension + app.run_cell("a = format(Symbol('pi'))") + app.run_cell("a2 = format(Symbol('pi')**2)") + # Deal with API change starting at IPython 1.0 + if int(ipython.__version__.split(".")[0]) < 1: + assert app.user_ns['a']['text/plain'] == "pi" + assert app.user_ns['a2']['text/plain'] == "pi**2" + else: + assert app.user_ns['a'][0]['text/plain'] == "pi" + assert app.user_ns['a2'][0]['text/plain'] == "pi**2" + + # Load printing extension + app.run_cell("from sympy import init_printing") + app.run_cell("init_printing()") + # Printing with printing extension + app.run_cell("a = format(Symbol('pi'))") + app.run_cell("a2 = format(Symbol('pi')**2)") + # Deal with API change starting at IPython 1.0 + if int(ipython.__version__.split(".")[0]) < 1: + assert app.user_ns['a']['text/plain'] in ('\N{GREEK SMALL LETTER PI}', 'pi') + assert app.user_ns['a2']['text/plain'] in (' 2\n\N{GREEK SMALL LETTER PI} ', ' 2\npi ') + else: + assert app.user_ns['a'][0]['text/plain'] in ('\N{GREEK SMALL LETTER PI}', 'pi') + assert app.user_ns['a2'][0]['text/plain'] in (' 2\n\N{GREEK SMALL LETTER PI} ', ' 2\npi ') + + +def test_print_builtin_option(): + # Initialize and setup IPython session + app = init_ipython_session() + app.run_cell("ip = get_ipython()") + app.run_cell("inst = ip.instance()") + app.run_cell("format = inst.display_formatter.format") + app.run_cell("from sympy import Symbol") + app.run_cell("from sympy import init_printing") + + app.run_cell("a = format({Symbol('pi'): 3.14, Symbol('n_i'): 3})") + # Deal with API change starting at IPython 1.0 + if int(ipython.__version__.split(".")[0]) < 1: + text = app.user_ns['a']['text/plain'] + raises(KeyError, lambda: app.user_ns['a']['text/latex']) + else: + text = app.user_ns['a'][0]['text/plain'] + raises(KeyError, lambda: app.user_ns['a'][0]['text/latex']) + # XXX: How can we make this ignore the terminal width? This test fails if + # the terminal is too narrow. + assert text in ("{pi: 3.14, n_i: 3}", + '{n\N{LATIN SUBSCRIPT SMALL LETTER I}: 3, \N{GREEK SMALL LETTER PI}: 3.14}', + "{n_i: 3, pi: 3.14}", + '{\N{GREEK SMALL LETTER PI}: 3.14, n\N{LATIN SUBSCRIPT SMALL LETTER I}: 3}') + + # If we enable the default printing, then the dictionary's should render + # as a LaTeX version of the whole dict: ${\pi: 3.14, n_i: 3}$ + app.run_cell("inst.display_formatter.formatters['text/latex'].enabled = True") + app.run_cell("init_printing(use_latex=True)") + app.run_cell("a = format({Symbol('pi'): 3.14, Symbol('n_i'): 3})") + # Deal with API change starting at IPython 1.0 + if int(ipython.__version__.split(".")[0]) < 1: + text = app.user_ns['a']['text/plain'] + latex = app.user_ns['a']['text/latex'] + else: + text = app.user_ns['a'][0]['text/plain'] + latex = app.user_ns['a'][0]['text/latex'] + assert text in ("{pi: 3.14, n_i: 3}", + '{n\N{LATIN SUBSCRIPT SMALL LETTER I}: 3, \N{GREEK SMALL LETTER PI}: 3.14}', + "{n_i: 3, pi: 3.14}", + '{\N{GREEK SMALL LETTER PI}: 3.14, n\N{LATIN SUBSCRIPT SMALL LETTER I}: 3}') + assert latex == r'$\displaystyle \left\{ n_{i} : 3, \ \pi : 3.14\right\}$' + + # Objects with an _latex overload should also be handled by our tuple + # printer. + app.run_cell("""\ + class WithOverload: + def _latex(self, printer): + return r"\\LaTeX" + """) + app.run_cell("a = format((WithOverload(),))") + # Deal with API change starting at IPython 1.0 + if int(ipython.__version__.split(".")[0]) < 1: + latex = app.user_ns['a']['text/latex'] + else: + latex = app.user_ns['a'][0]['text/latex'] + assert latex == r'$\displaystyle \left( \LaTeX,\right)$' + + app.run_cell("inst.display_formatter.formatters['text/latex'].enabled = True") + app.run_cell("init_printing(use_latex=True, print_builtin=False)") + app.run_cell("a = format({Symbol('pi'): 3.14, Symbol('n_i'): 3})") + # Deal with API change starting at IPython 1.0 + if int(ipython.__version__.split(".")[0]) < 1: + text = app.user_ns['a']['text/plain'] + raises(KeyError, lambda: app.user_ns['a']['text/latex']) + else: + text = app.user_ns['a'][0]['text/plain'] + raises(KeyError, lambda: app.user_ns['a'][0]['text/latex']) + # Note : In Python 3 we have one text type: str which holds Unicode data + # and two byte types bytes and bytearray. + # Python 3.3.3 + IPython 0.13.2 gives: '{n_i: 3, pi: 3.14}' + # Python 3.3.3 + IPython 1.1.0 gives: '{n_i: 3, pi: 3.14}' + assert text in ("{pi: 3.14, n_i: 3}", "{n_i: 3, pi: 3.14}") + + +def test_builtin_containers(): + # Initialize and setup IPython session + app = init_ipython_session() + app.run_cell("ip = get_ipython()") + app.run_cell("inst = ip.instance()") + app.run_cell("format = inst.display_formatter.format") + app.run_cell("inst.display_formatter.formatters['text/latex'].enabled = True") + app.run_cell("from sympy import init_printing, Matrix") + app.run_cell('init_printing(use_latex=True, use_unicode=False)') + + # Make sure containers that shouldn't pretty print don't. + app.run_cell('a = format((True, False))') + app.run_cell('import sys') + app.run_cell('b = format(sys.flags)') + app.run_cell('c = format((Matrix([1, 2]),))') + # Deal with API change starting at IPython 1.0 + if int(ipython.__version__.split(".")[0]) < 1: + assert app.user_ns['a']['text/plain'] == '(True, False)' + assert 'text/latex' not in app.user_ns['a'] + assert app.user_ns['b']['text/plain'][:10] == 'sys.flags(' + assert 'text/latex' not in app.user_ns['b'] + assert app.user_ns['c']['text/plain'] == \ +"""\ + [1] \n\ +([ ],) + [2] \ +""" + assert app.user_ns['c']['text/latex'] == '$\\displaystyle \\left( \\left[\\begin{matrix}1\\\\2\\end{matrix}\\right],\\right)$' + else: + assert app.user_ns['a'][0]['text/plain'] == '(True, False)' + assert 'text/latex' not in app.user_ns['a'][0] + assert app.user_ns['b'][0]['text/plain'][:10] == 'sys.flags(' + assert 'text/latex' not in app.user_ns['b'][0] + assert app.user_ns['c'][0]['text/plain'] == \ +"""\ + [1] \n\ +([ ],) + [2] \ +""" + assert app.user_ns['c'][0]['text/latex'] == '$\\displaystyle \\left( \\left[\\begin{matrix}1\\\\2\\end{matrix}\\right],\\right)$' + +def test_matplotlib_bad_latex(): + # Initialize and setup IPython session + app = init_ipython_session() + app.run_cell("import IPython") + app.run_cell("ip = get_ipython()") + app.run_cell("inst = ip.instance()") + app.run_cell("format = inst.display_formatter.format") + app.run_cell("from sympy import init_printing, Matrix") + app.run_cell("init_printing(use_latex='matplotlib')") + + # The png formatter is not enabled by default in this context + app.run_cell("inst.display_formatter.formatters['image/png'].enabled = True") + + # Make sure no warnings are raised by IPython + app.run_cell("import warnings") + # IPython.core.formatters.FormatterWarning was introduced in IPython 2.0 + if int(ipython.__version__.split(".")[0]) < 2: + app.run_cell("warnings.simplefilter('error')") + else: + app.run_cell("warnings.simplefilter('error', IPython.core.formatters.FormatterWarning)") + + # This should not raise an exception + app.run_cell("a = format(Matrix([1, 2, 3]))") + + # issue 9799 + app.run_cell("from sympy import Piecewise, Symbol, Eq") + app.run_cell("x = Symbol('x'); pw = format(Piecewise((1, Eq(x, 0)), (0, True)))") + + +def test_override_repr_latex(): + # Initialize and setup IPython session + app = init_ipython_session() + app.run_cell("import IPython") + app.run_cell("ip = get_ipython()") + app.run_cell("inst = ip.instance()") + app.run_cell("format = inst.display_formatter.format") + app.run_cell("inst.display_formatter.formatters['text/latex'].enabled = True") + app.run_cell("from sympy import init_printing") + app.run_cell("from sympy import Symbol") + app.run_cell("init_printing(use_latex=True)") + app.run_cell("""\ + class SymbolWithOverload(Symbol): + def _repr_latex_(self): + return r"Hello " + super()._repr_latex_() + " world" + """) + app.run_cell("a = format(SymbolWithOverload('s'))") + + if 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b/tool_server/.venv/lib/python3.12/site-packages/sympy/liealgebras/tests/test_cartan_matrix.py @@ -0,0 +1,10 @@ +from sympy.liealgebras.cartan_matrix import CartanMatrix +from sympy.matrices import Matrix + +def test_CartanMatrix(): + c = CartanMatrix("A3") + m = Matrix(3, 3, [2, -1, 0, -1, 2, -1, 0, -1, 2]) + assert c == m + a = CartanMatrix(["G",2]) + mt = Matrix(2, 2, [2, -1, -3, 2]) + assert a == mt diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/liealgebras/tests/test_cartan_type.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/liealgebras/tests/test_cartan_type.py new file mode 100644 index 0000000000000000000000000000000000000000..257eeca41d0f5f2eb240cc270f76d452848ed405 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/liealgebras/tests/test_cartan_type.py @@ -0,0 +1,12 @@ +from sympy.liealgebras.cartan_type import CartanType, Standard_Cartan + +def test_Standard_Cartan(): + c = CartanType("A4") + assert c.rank() == 4 + assert c.series == "A" + m = Standard_Cartan("A", 2) + assert m.rank() == 2 + assert m.series == "A" + b = CartanType("B12") + assert b.rank() == 12 + assert b.series == "B" diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/liealgebras/tests/test_dynkin_diagram.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/liealgebras/tests/test_dynkin_diagram.py new file mode 100644 index 0000000000000000000000000000000000000000..ad2ee4c162945c437ecf83d75c7fef9455c9464a --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/liealgebras/tests/test_dynkin_diagram.py @@ -0,0 +1,9 @@ +from sympy.liealgebras.dynkin_diagram import DynkinDiagram + +def test_DynkinDiagram(): + c = DynkinDiagram("A3") + diag = "0---0---0\n1 2 3" + assert c == diag + ct = DynkinDiagram(["B", 3]) + diag2 = "0---0=>=0\n1 2 3" + assert ct == diag2 diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/liealgebras/tests/test_root_system.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/liealgebras/tests/test_root_system.py new file mode 100644 index 0000000000000000000000000000000000000000..42110da5a1c59a7e6b2e537ee13746bfce361579 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/liealgebras/tests/test_root_system.py @@ -0,0 +1,18 @@ +from sympy.liealgebras.root_system import RootSystem +from sympy.liealgebras.type_a import TypeA +from sympy.matrices import Matrix + +def test_root_system(): + c = RootSystem("A3") + assert c.cartan_type == TypeA(3) + assert c.simple_roots() == {1: [1, -1, 0, 0], 2: [0, 1, -1, 0], 3: [0, 0, 1, -1]} + assert c.root_space() == "alpha[1] + alpha[2] + alpha[3]" + assert c.cartan_matrix() == Matrix([[ 2, -1, 0], [-1, 2, -1], [ 0, -1, 2]]) + assert c.dynkin_diagram() == "0---0---0\n1 2 3" + assert c.add_simple_roots(1, 2) == [1, 0, -1, 0] + assert c.all_roots() == {1: [1, -1, 0, 0], 2: [1, 0, -1, 0], + 3: [1, 0, 0, -1], 4: [0, 1, -1, 0], 5: [0, 1, 0, -1], + 6: [0, 0, 1, -1], 7: [-1, 1, 0, 0], 8: [-1, 0, 1, 0], + 9: [-1, 0, 0, 1], 10: [0, -1, 1, 0], + 11: [0, -1, 0, 1], 12: [0, 0, -1, 1]} + assert c.add_as_roots([1, 0, -1, 0], [0, 0, 1, -1]) == [1, 0, 0, -1] diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/liealgebras/tests/test_type_A.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/liealgebras/tests/test_type_A.py new file mode 100644 index 0000000000000000000000000000000000000000..85d6f451ee167cf6db17ab20e59efab86ac0b691 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/liealgebras/tests/test_type_A.py @@ -0,0 +1,17 @@ +from sympy.liealgebras.cartan_type import CartanType +from sympy.matrices import Matrix + +def test_type_A(): + c = CartanType("A3") + m = Matrix(3, 3, [2, -1, 0, -1, 2, -1, 0, -1, 2]) + assert m == c.cartan_matrix() + assert c.basis() == 8 + assert c.roots() == 12 + assert c.dimension() == 4 + assert c.simple_root(1) == [1, -1, 0, 0] + assert c.highest_root() == [1, 0, 0, -1] + assert c.lie_algebra() == "su(4)" + diag = "0---0---0\n1 2 3" + assert c.dynkin_diagram() == diag + assert c.positive_roots() == {1: [1, -1, 0, 0], 2: [1, 0, -1, 0], + 3: [1, 0, 0, -1], 4: [0, 1, -1, 0], 5: [0, 1, 0, -1], 6: [0, 0, 1, -1]} diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/liealgebras/tests/test_type_B.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/liealgebras/tests/test_type_B.py new file mode 100644 index 0000000000000000000000000000000000000000..8f2a9011f96bc647e48d39e16cf10703a99d86b3 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/liealgebras/tests/test_type_B.py @@ -0,0 +1,17 @@ +from sympy.liealgebras.cartan_type import CartanType +from sympy.matrices import Matrix + +def test_type_B(): + c = CartanType("B3") + m = Matrix(3, 3, [2, -1, 0, -1, 2, -2, 0, -1, 2]) + assert m == c.cartan_matrix() + assert c.dimension() == 3 + assert c.roots() == 18 + assert c.simple_root(3) == [0, 0, 1] + assert c.basis() == 3 + assert c.lie_algebra() == "so(6)" + diag = "0---0=>=0\n1 2 3" + assert c.dynkin_diagram() == diag + assert c.positive_roots() == {1: [1, -1, 0], 2: [1, 1, 0], 3: [1, 0, -1], + 4: [1, 0, 1], 5: [0, 1, -1], 6: [0, 1, 1], 7: [1, 0, 0], + 8: [0, 1, 0], 9: [0, 0, 1]} diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/liealgebras/tests/test_type_C.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/liealgebras/tests/test_type_C.py new file mode 100644 index 0000000000000000000000000000000000000000..8154c201e6c50adb7c74458b240ed98b9a0dd123 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/liealgebras/tests/test_type_C.py @@ -0,0 +1,22 @@ +from sympy.liealgebras.cartan_type import CartanType +from sympy.matrices import Matrix + +def test_type_C(): + c = CartanType("C4") + m = Matrix(4, 4, [2, -1, 0, 0, -1, 2, -1, 0, 0, -1, 2, -1, 0, 0, -2, 2]) + assert c.cartan_matrix() == m + assert c.dimension() == 4 + assert c.simple_root(4) == [0, 0, 0, 2] + assert c.roots() == 32 + assert c.basis() == 36 + assert c.lie_algebra() == "sp(8)" + t = CartanType(['C', 3]) + assert t.dimension() == 3 + diag = "0---0---0=<=0\n1 2 3 4" + assert c.dynkin_diagram() == diag + assert c.positive_roots() == {1: [1, -1, 0, 0], 2: [1, 1, 0, 0], + 3: [1, 0, -1, 0], 4: [1, 0, 1, 0], 5: [1, 0, 0, -1], + 6: [1, 0, 0, 1], 7: [0, 1, -1, 0], 8: [0, 1, 1, 0], + 9: [0, 1, 0, -1], 10: [0, 1, 0, 1], 11: [0, 0, 1, -1], + 12: [0, 0, 1, 1], 13: [2, 0, 0, 0], 14: [0, 2, 0, 0], 15: [0, 0, 2, 0], + 16: [0, 0, 0, 2]} diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/liealgebras/tests/test_type_D.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/liealgebras/tests/test_type_D.py new file mode 100644 index 0000000000000000000000000000000000000000..ddf6a34cb5be475cc30042e95bf8eae2376a2223 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/liealgebras/tests/test_type_D.py @@ -0,0 +1,19 @@ +from sympy.liealgebras.cartan_type import CartanType +from sympy.matrices import Matrix + + + +def test_type_D(): + c = CartanType("D4") + m = Matrix(4, 4, [2, -1, 0, 0, -1, 2, -1, -1, 0, -1, 2, 0, 0, -1, 0, 2]) + assert c.cartan_matrix() == m + assert c.basis() == 6 + assert c.lie_algebra() == "so(8)" + assert c.roots() == 24 + assert c.simple_root(3) == [0, 0, 1, -1] + diag = " 3\n 0\n |\n |\n0---0---0\n1 2 4" + assert diag == c.dynkin_diagram() + assert c.positive_roots() == {1: [1, -1, 0, 0], 2: [1, 1, 0, 0], + 3: [1, 0, -1, 0], 4: [1, 0, 1, 0], 5: [1, 0, 0, -1], 6: [1, 0, 0, 1], + 7: [0, 1, -1, 0], 8: [0, 1, 1, 0], 9: [0, 1, 0, -1], 10: [0, 1, 0, 1], + 11: [0, 0, 1, -1], 12: [0, 0, 1, 1]} diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/liealgebras/tests/test_type_E.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/liealgebras/tests/test_type_E.py new file mode 100644 index 0000000000000000000000000000000000000000..bdb08342f41ede3390f34e9b297864eda16bedc7 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/liealgebras/tests/test_type_E.py @@ -0,0 +1,22 @@ +from sympy.liealgebras.cartan_type import CartanType +from sympy.matrices import Matrix +from sympy.core.backend import Rational + +def test_type_E(): + c = CartanType("E6") + m = Matrix(6, 6, [2, 0, -1, 0, 0, 0, 0, 2, 0, -1, 0, 0, + -1, 0, 2, -1, 0, 0, 0, -1, -1, 2, -1, 0, 0, 0, 0, + -1, 2, -1, 0, 0, 0, 0, -1, 2]) + assert c.cartan_matrix() == m + assert c.dimension() == 8 + assert c.simple_root(6) == [0, 0, 0, -1, 1, 0, 0, 0] + assert c.roots() == 72 + assert c.basis() == 78 + diag = " "*8 + "2\n" + " "*8 + "0\n" + " "*8 + "|\n" + " "*8 + "|\n" + diag += "---".join("0" for i in range(1, 6))+"\n" + diag += "1 " + " ".join(str(i) for i in range(3, 7)) + assert c.dynkin_diagram() == diag + posroots = c.positive_roots() + assert posroots[8] == [1, 0, 0, 0, 1, 0, 0, 0] + assert posroots[21] == [Rational(1,2),Rational(1,2),Rational(1,2),Rational(1,2), + Rational(1,2),Rational(-1,2),Rational(-1,2),Rational(1,2)] diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/liealgebras/tests/test_type_F.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/liealgebras/tests/test_type_F.py new file mode 100644 index 0000000000000000000000000000000000000000..fbb58223d0b5886e6044108c9c5cc3bbf371dd14 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/liealgebras/tests/test_type_F.py @@ -0,0 +1,24 @@ +from sympy.liealgebras.cartan_type import CartanType +from sympy.matrices import Matrix +from sympy.core.backend import S + +def test_type_F(): + c = CartanType("F4") + m = Matrix(4, 4, [2, -1, 0, 0, -1, 2, -2, 0, 0, -1, 2, -1, 0, 0, -1, 2]) + assert c.cartan_matrix() == m + assert c.dimension() == 4 + assert c.simple_root(1) == [1, -1, 0, 0] + assert c.simple_root(2) == [0, 1, -1, 0] + assert c.simple_root(3) == [0, 0, 0, 1] + assert c.simple_root(4) == [-S.Half, -S.Half, -S.Half, -S.Half] + assert c.roots() == 48 + assert c.basis() == 52 + diag = "0---0=>=0---0\n" + " ".join(str(i) for i in range(1, 5)) + assert c.dynkin_diagram() == diag + assert c.positive_roots() == {1: [1, -1, 0, 0], 2: [1, 1, 0, 0], 3: [1, 0, -1, 0], + 4: [1, 0, 1, 0], 5: [1, 0, 0, -1], 6: [1, 0, 0, 1], 7: [0, 1, -1, 0], + 8: [0, 1, 1, 0], 9: [0, 1, 0, -1], 10: [0, 1, 0, 1], 11: [0, 0, 1, -1], + 12: [0, 0, 1, 1], 13: [1, 0, 0, 0], 14: [0, 1, 0, 0], 15: [0, 0, 1, 0], + 16: [0, 0, 0, 1], 17: [S.Half, S.Half, S.Half, S.Half], 18: [S.Half, -S.Half, S.Half, S.Half], + 19: [S.Half, S.Half, -S.Half, S.Half], 20: [S.Half, S.Half, S.Half, -S.Half], 21: [S.Half, S.Half, -S.Half, -S.Half], + 22: [S.Half, -S.Half, S.Half, -S.Half], 23: [S.Half, -S.Half, -S.Half, S.Half], 24: [S.Half, -S.Half, -S.Half, -S.Half]} diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/liealgebras/tests/test_type_G.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/liealgebras/tests/test_type_G.py new file mode 100644 index 0000000000000000000000000000000000000000..c427eeb85bad8fc77d17a1563a7b796d4e0f217f --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/liealgebras/tests/test_type_G.py @@ -0,0 +1,16 @@ +# coding=utf-8 +from sympy.liealgebras.cartan_type import CartanType +from sympy.matrices import Matrix + +def test_type_G(): + c = CartanType("G2") + m = Matrix(2, 2, [2, -1, -3, 2]) + assert c.cartan_matrix() == m + assert c.simple_root(2) == [1, -2, 1] + assert c.basis() == 14 + assert c.roots() == 12 + assert c.dimension() == 3 + diag = "0≡<≡0\n1 2" + assert diag == c.dynkin_diagram() + assert c.positive_roots() == {1: [0, 1, -1], 2: [1, -2, 1], 3: [1, -1, 0], + 4: [1, 0, 1], 5: [1, 1, -2], 6: [2, -1, -1]} diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/liealgebras/tests/test_weyl_group.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/liealgebras/tests/test_weyl_group.py new file mode 100644 index 0000000000000000000000000000000000000000..e4e57246fdcb5a431d8bbd65f1f60e0254a9cdf0 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/liealgebras/tests/test_weyl_group.py @@ -0,0 +1,35 @@ +from sympy.liealgebras.weyl_group import WeylGroup +from sympy.matrices import Matrix + +def test_weyl_group(): + c = WeylGroup("A3") + assert c.matrix_form('r1*r2') == Matrix([[0, 0, 1, 0], [1, 0, 0, 0], + [0, 1, 0, 0], [0, 0, 0, 1]]) + assert c.generators() == ['r1', 'r2', 'r3'] + assert c.group_order() == 24.0 + assert c.group_name() == "S4: the symmetric group acting on 4 elements." + assert c.coxeter_diagram() == "0---0---0\n1 2 3" + assert c.element_order('r1*r2*r3') == 4 + assert c.element_order('r1*r3*r2*r3') == 3 + d = WeylGroup("B5") + assert d.group_order() == 3840 + assert d.element_order('r1*r2*r4*r5') == 12 + assert d.matrix_form('r2*r3') == Matrix([[0, 0, 1, 0, 0], [1, 0, 0, 0, 0], + [0, 1, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 0, 0, 1]]) + assert d.element_order('r1*r2*r1*r3*r5') == 6 + e = WeylGroup("D5") + assert e.element_order('r2*r3*r5') == 4 + assert e.matrix_form('r2*r3*r5') == Matrix([[1, 0, 0, 0, 0], [0, 0, 0, 0, -1], + [0, 1, 0, 0, 0], [0, 0, 1, 0, 0], [0, 0, 0, -1, 0]]) + f = WeylGroup("G2") + assert f.element_order('r1*r2*r1*r2') == 3 + assert f.element_order('r2*r1*r1*r2') == 1 + + assert f.matrix_form('r1*r2*r1*r2') == Matrix([[0, 1, 0], [0, 0, 1], [1, 0, 0]]) + g = WeylGroup("F4") + assert g.matrix_form('r2*r3') == Matrix([[1, 0, 0, 0], [0, 1, 0, 0], + [0, 0, 0, -1], [0, 0, 1, 0]]) + + assert g.element_order('r2*r3') == 4 + h = WeylGroup("E6") + assert h.group_order() == 51840 diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/logic/__pycache__/__init__.cpython-312.pyc b/tool_server/.venv/lib/python3.12/site-packages/sympy/logic/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..85745b6a0ba417f64e4df488702edb14613f19a8 Binary files /dev/null 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a/tool_server/.venv/lib/python3.12/site-packages/sympy/logic/algorithms/dpll.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/logic/algorithms/dpll.py new file mode 100644 index 0000000000000000000000000000000000000000..40e6802f7626c982a9a6cd7146baea3ac6b8b6e0 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/logic/algorithms/dpll.py @@ -0,0 +1,308 @@ +"""Implementation of DPLL algorithm + +Further improvements: eliminate calls to pl_true, implement branching rules, +efficient unit propagation. + +References: + - https://en.wikipedia.org/wiki/DPLL_algorithm + - https://www.researchgate.net/publication/242384772_Implementations_of_the_DPLL_Algorithm +""" + +from sympy.core.sorting import default_sort_key +from sympy.logic.boolalg import Or, Not, conjuncts, disjuncts, to_cnf, \ + to_int_repr, _find_predicates +from sympy.assumptions.cnf import CNF +from sympy.logic.inference import pl_true, literal_symbol + + +def dpll_satisfiable(expr): + """ + Check satisfiability of a propositional sentence. + It returns a model rather than True when it succeeds + + >>> from sympy.abc import A, B + >>> from sympy.logic.algorithms.dpll import dpll_satisfiable + >>> dpll_satisfiable(A & ~B) + {A: True, B: False} + >>> dpll_satisfiable(A & ~A) + False + + """ + if not isinstance(expr, CNF): + clauses = conjuncts(to_cnf(expr)) + else: + clauses = expr.clauses + if False in clauses: + return False + symbols = sorted(_find_predicates(expr), key=default_sort_key) + symbols_int_repr = set(range(1, len(symbols) + 1)) + clauses_int_repr = to_int_repr(clauses, symbols) + result = dpll_int_repr(clauses_int_repr, symbols_int_repr, {}) + if not result: + return result + output = {} + for key in result: + output.update({symbols[key - 1]: result[key]}) + return output + + +def dpll(clauses, symbols, model): + """ + Compute satisfiability in a partial model. + Clauses is an array of conjuncts. + + >>> from sympy.abc import A, B, D + >>> from sympy.logic.algorithms.dpll import dpll + >>> dpll([A, B, D], [A, B], {D: False}) + False + + """ + # compute DP kernel + P, value = find_unit_clause(clauses, model) + while P: + model.update({P: value}) + symbols.remove(P) + if not value: + P = ~P + clauses = unit_propagate(clauses, P) + P, value = find_unit_clause(clauses, model) + P, value = find_pure_symbol(symbols, clauses) + while P: + model.update({P: value}) + symbols.remove(P) + if not value: + P = ~P + clauses = unit_propagate(clauses, P) + P, value = find_pure_symbol(symbols, clauses) + # end DP kernel + unknown_clauses = [] + for c in clauses: + val = pl_true(c, model) + if val is False: + return False + if val is not True: + unknown_clauses.append(c) + if not unknown_clauses: + return model + if not clauses: + return model + P = symbols.pop() + model_copy = model.copy() + model.update({P: True}) + model_copy.update({P: False}) + symbols_copy = symbols[:] + return (dpll(unit_propagate(unknown_clauses, P), symbols, model) or + dpll(unit_propagate(unknown_clauses, Not(P)), symbols_copy, model_copy)) + + +def dpll_int_repr(clauses, symbols, model): + """ + Compute satisfiability in a partial model. + Arguments are expected to be in integer representation + + >>> from sympy.logic.algorithms.dpll import dpll_int_repr + >>> dpll_int_repr([{1}, {2}, {3}], {1, 2}, {3: False}) + False + + """ + # compute DP kernel + P, value = find_unit_clause_int_repr(clauses, model) + while P: + model.update({P: value}) + symbols.remove(P) + if not value: + P = -P + clauses = unit_propagate_int_repr(clauses, P) + P, value = find_unit_clause_int_repr(clauses, model) + P, value = find_pure_symbol_int_repr(symbols, clauses) + while P: + model.update({P: value}) + symbols.remove(P) + if not value: + P = -P + clauses = unit_propagate_int_repr(clauses, P) + P, value = find_pure_symbol_int_repr(symbols, clauses) + # end DP kernel + unknown_clauses = [] + for c in clauses: + val = pl_true_int_repr(c, model) + if val is False: + return False + if val is not True: + unknown_clauses.append(c) + if not unknown_clauses: + return model + P = symbols.pop() + model_copy = model.copy() + model.update({P: True}) + model_copy.update({P: False}) + symbols_copy = symbols.copy() + return (dpll_int_repr(unit_propagate_int_repr(unknown_clauses, P), symbols, model) or + dpll_int_repr(unit_propagate_int_repr(unknown_clauses, -P), symbols_copy, model_copy)) + +### helper methods for DPLL + + +def pl_true_int_repr(clause, model={}): + """ + Lightweight version of pl_true. + Argument clause represents the set of args of an Or clause. This is used + inside dpll_int_repr, it is not meant to be used directly. + + >>> from sympy.logic.algorithms.dpll import pl_true_int_repr + >>> pl_true_int_repr({1, 2}, {1: False}) + >>> pl_true_int_repr({1, 2}, {1: False, 2: False}) + False + + """ + result = False + for lit in clause: + if lit < 0: + p = model.get(-lit) + if p is not None: + p = not p + else: + p = model.get(lit) + if p is True: + return True + elif p is None: + result = None + return result + + +def unit_propagate(clauses, symbol): + """ + Returns an equivalent set of clauses + If a set of clauses contains the unit clause l, the other clauses are + simplified by the application of the two following rules: + + 1. every clause containing l is removed + 2. in every clause that contains ~l this literal is deleted + + Arguments are expected to be in CNF. + + >>> from sympy.abc import A, B, D + >>> from sympy.logic.algorithms.dpll import unit_propagate + >>> unit_propagate([A | B, D | ~B, B], B) + [D, B] + + """ + output = [] + for c in clauses: + if c.func != Or: + output.append(c) + continue + for arg in c.args: + if arg == ~symbol: + output.append(Or(*[x for x in c.args if x != ~symbol])) + break + if arg == symbol: + break + else: + output.append(c) + return output + + +def unit_propagate_int_repr(clauses, s): + """ + Same as unit_propagate, but arguments are expected to be in integer + representation + + >>> from sympy.logic.algorithms.dpll import unit_propagate_int_repr + >>> unit_propagate_int_repr([{1, 2}, {3, -2}, {2}], 2) + [{3}] + + """ + negated = {-s} + return [clause - negated for clause in clauses if s not in clause] + + +def find_pure_symbol(symbols, unknown_clauses): + """ + Find a symbol and its value if it appears only as a positive literal + (or only as a negative) in clauses. + + >>> from sympy.abc import A, B, D + >>> from sympy.logic.algorithms.dpll import find_pure_symbol + >>> find_pure_symbol([A, B, D], [A|~B,~B|~D,D|A]) + (A, True) + + """ + for sym in symbols: + found_pos, found_neg = False, False + for c in unknown_clauses: + if not found_pos and sym in disjuncts(c): + found_pos = True + if not found_neg and Not(sym) in disjuncts(c): + found_neg = True + if found_pos != found_neg: + return sym, found_pos + return None, None + + +def find_pure_symbol_int_repr(symbols, unknown_clauses): + """ + Same as find_pure_symbol, but arguments are expected + to be in integer representation + + >>> from sympy.logic.algorithms.dpll import find_pure_symbol_int_repr + >>> find_pure_symbol_int_repr({1,2,3}, + ... [{1, -2}, {-2, -3}, {3, 1}]) + (1, True) + + """ + all_symbols = set().union(*unknown_clauses) + found_pos = all_symbols.intersection(symbols) + found_neg = all_symbols.intersection([-s for s in symbols]) + for p in found_pos: + if -p not in found_neg: + return p, True + for p in found_neg: + if -p not in found_pos: + return -p, False + return None, None + + +def find_unit_clause(clauses, model): + """ + A unit clause has only 1 variable that is not bound in the model. + + >>> from sympy.abc import A, B, D + >>> from sympy.logic.algorithms.dpll import find_unit_clause + >>> find_unit_clause([A | B | D, B | ~D, A | ~B], {A:True}) + (B, False) + + """ + for clause in clauses: + num_not_in_model = 0 + for literal in disjuncts(clause): + sym = literal_symbol(literal) + if sym not in model: + num_not_in_model += 1 + P, value = sym, not isinstance(literal, Not) + if num_not_in_model == 1: + return P, value + return None, None + + +def find_unit_clause_int_repr(clauses, model): + """ + Same as find_unit_clause, but arguments are expected to be in + integer representation. + + >>> from sympy.logic.algorithms.dpll import find_unit_clause_int_repr + >>> find_unit_clause_int_repr([{1, 2, 3}, + ... {2, -3}, {1, -2}], {1: True}) + (2, False) + + """ + bound = set(model) | {-sym for sym in model} + for clause in clauses: + unbound = clause - bound + if len(unbound) == 1: + p = unbound.pop() + if p < 0: + return -p, False + else: + return p, True + return None, None diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/logic/algorithms/dpll2.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/logic/algorithms/dpll2.py new file mode 100644 index 0000000000000000000000000000000000000000..4f18c81189d6be565dc9b7caa3f0bf48e978bb56 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/logic/algorithms/dpll2.py @@ -0,0 +1,688 @@ +"""Implementation of DPLL algorithm + +Features: + - Clause learning + - Watch literal scheme + - VSIDS heuristic + +References: + - https://en.wikipedia.org/wiki/DPLL_algorithm +""" + +from collections import defaultdict +from heapq import heappush, heappop + +from sympy.core.sorting import ordered +from sympy.assumptions.cnf import EncodedCNF + +from sympy.logic.algorithms.lra_theory import LRASolver + + +def dpll_satisfiable(expr, all_models=False, use_lra_theory=False): + """ + Check satisfiability of a propositional sentence. + It returns a model rather than True when it succeeds. + Returns a generator of all models if all_models is True. + + Examples + ======== + + >>> from sympy.abc import A, B + >>> from sympy.logic.algorithms.dpll2 import dpll_satisfiable + >>> dpll_satisfiable(A & ~B) + {A: True, B: False} + >>> dpll_satisfiable(A & ~A) + False + + """ + if not isinstance(expr, EncodedCNF): + exprs = EncodedCNF() + exprs.add_prop(expr) + expr = exprs + + # Return UNSAT when False (encoded as 0) is present in the CNF + if {0} in expr.data: + if all_models: + return (f for f in [False]) + return False + + if use_lra_theory: + lra, immediate_conflicts = LRASolver.from_encoded_cnf(expr) + else: + lra = None + immediate_conflicts = [] + solver = SATSolver(expr.data + immediate_conflicts, expr.variables, set(), expr.symbols, lra_theory=lra) + models = solver._find_model() + + if all_models: + return _all_models(models) + + try: + return next(models) + except StopIteration: + return False + + # Uncomment to confirm the solution is valid (hitting set for the clauses) + #else: + #for cls in clauses_int_repr: + #assert solver.var_settings.intersection(cls) + + +def _all_models(models): + satisfiable = False + try: + while True: + yield next(models) + satisfiable = True + except StopIteration: + if not satisfiable: + yield False + + +class SATSolver: + """ + Class for representing a SAT solver capable of + finding a model to a boolean theory in conjunctive + normal form. + """ + + def __init__(self, clauses, variables, var_settings, symbols=None, + heuristic='vsids', clause_learning='none', INTERVAL=500, + lra_theory = None): + + self.var_settings = var_settings + self.heuristic = heuristic + self.is_unsatisfied = False + self._unit_prop_queue = [] + self.update_functions = [] + self.INTERVAL = INTERVAL + + if symbols is None: + self.symbols = list(ordered(variables)) + else: + self.symbols = symbols + + self._initialize_variables(variables) + self._initialize_clauses(clauses) + + if 'vsids' == heuristic: + self._vsids_init() + self.heur_calculate = self._vsids_calculate + self.heur_lit_assigned = self._vsids_lit_assigned + self.heur_lit_unset = self._vsids_lit_unset + self.heur_clause_added = self._vsids_clause_added + + # Note: Uncomment this if/when clause learning is enabled + #self.update_functions.append(self._vsids_decay) + + else: + raise NotImplementedError + + if 'simple' == clause_learning: + self.add_learned_clause = self._simple_add_learned_clause + self.compute_conflict = self._simple_compute_conflict + self.update_functions.append(self._simple_clean_clauses) + elif 'none' == clause_learning: + self.add_learned_clause = lambda x: None + self.compute_conflict = lambda: None + else: + raise NotImplementedError + + # Create the base level + self.levels = [Level(0)] + self._current_level.varsettings = var_settings + + # Keep stats + self.num_decisions = 0 + self.num_learned_clauses = 0 + self.original_num_clauses = len(self.clauses) + + self.lra = lra_theory + + def _initialize_variables(self, variables): + """Set up the variable data structures needed.""" + self.sentinels = defaultdict(set) + self.occurrence_count = defaultdict(int) + self.variable_set = [False] * (len(variables) + 1) + + def _initialize_clauses(self, clauses): + """Set up the clause data structures needed. + + For each clause, the following changes are made: + - Unit clauses are queued for propagation right away. + - Non-unit clauses have their first and last literals set as sentinels. + - The number of clauses a literal appears in is computed. + """ + self.clauses = [list(clause) for clause in clauses] + + for i, clause in enumerate(self.clauses): + + # Handle the unit clauses + if 1 == len(clause): + self._unit_prop_queue.append(clause[0]) + continue + + self.sentinels[clause[0]].add(i) + self.sentinels[clause[-1]].add(i) + + for lit in clause: + self.occurrence_count[lit] += 1 + + def _find_model(self): + """ + Main DPLL loop. Returns a generator of models. + + Variables are chosen successively, and assigned to be either + True or False. If a solution is not found with this setting, + the opposite is chosen and the search continues. The solver + halts when every variable has a setting. + + Examples + ======== + + >>> from sympy.logic.algorithms.dpll2 import SATSolver + >>> l = SATSolver([{2, -3}, {1}, {3, -3}, {2, -2}, + ... {3, -2}], {1, 2, 3}, set()) + >>> list(l._find_model()) + [{1: True, 2: False, 3: False}, {1: True, 2: True, 3: True}] + + >>> from sympy.abc import A, B, C + >>> l = SATSolver([{2, -3}, {1}, {3, -3}, {2, -2}, + ... {3, -2}], {1, 2, 3}, set(), [A, B, C]) + >>> list(l._find_model()) + [{A: True, B: False, C: False}, {A: True, B: True, C: True}] + + """ + + # We use this variable to keep track of if we should flip a + # variable setting in successive rounds + flip_var = False + + # Check if unit prop says the theory is unsat right off the bat + self._simplify() + if self.is_unsatisfied: + return + + # While the theory still has clauses remaining + while True: + # Perform cleanup / fixup at regular intervals + if self.num_decisions % self.INTERVAL == 0: + for func in self.update_functions: + func() + + if flip_var: + # We have just backtracked and we are trying to opposite literal + flip_var = False + lit = self._current_level.decision + + else: + # Pick a literal to set + lit = self.heur_calculate() + self.num_decisions += 1 + + # Stopping condition for a satisfying theory + if 0 == lit: + + # check if assignment satisfies lra theory + if self.lra: + for enc_var in self.var_settings: + res = self.lra.assert_lit(enc_var) + if res is not None: + break + res = self.lra.check() + self.lra.reset_bounds() + else: + res = None + if res is None or res[0]: + yield {self.symbols[abs(lit) - 1]: + lit > 0 for lit in self.var_settings} + else: + self._simple_add_learned_clause(res[1]) + + # backtrack until we unassign one of the literals causing the conflict + while not any(-lit in res[1] for lit in self._current_level.var_settings): + self._undo() + + while self._current_level.flipped: + self._undo() + if len(self.levels) == 1: + return + flip_lit = -self._current_level.decision + self._undo() + self.levels.append(Level(flip_lit, flipped=True)) + flip_var = True + continue + + # Start the new decision level + self.levels.append(Level(lit)) + + # Assign the literal, updating the clauses it satisfies + self._assign_literal(lit) + + # _simplify the theory + self._simplify() + + # Check if we've made the theory unsat + if self.is_unsatisfied: + + self.is_unsatisfied = False + + # We unroll all of the decisions until we can flip a literal + while self._current_level.flipped: + self._undo() + + # If we've unrolled all the way, the theory is unsat + if 1 == len(self.levels): + return + + # Detect and add a learned clause + self.add_learned_clause(self.compute_conflict()) + + # Try the opposite setting of the most recent decision + flip_lit = -self._current_level.decision + self._undo() + self.levels.append(Level(flip_lit, flipped=True)) + flip_var = True + + ######################## + # Helper Methods # + ######################## + @property + def _current_level(self): + """The current decision level data structure + + Examples + ======== + + >>> from sympy.logic.algorithms.dpll2 import SATSolver + >>> l = SATSolver([{1}, {2}], {1, 2}, set()) + >>> next(l._find_model()) + {1: True, 2: True} + >>> l._current_level.decision + 0 + >>> l._current_level.flipped + False + >>> l._current_level.var_settings + {1, 2} + + """ + return self.levels[-1] + + def _clause_sat(self, cls): + """Check if a clause is satisfied by the current variable setting. + + Examples + ======== + + >>> from sympy.logic.algorithms.dpll2 import SATSolver + >>> l = SATSolver([{1}, {-1}], {1}, set()) + >>> try: + ... next(l._find_model()) + ... except StopIteration: + ... pass + >>> l._clause_sat(0) + False + >>> l._clause_sat(1) + True + + """ + for lit in self.clauses[cls]: + if lit in self.var_settings: + return True + return False + + def _is_sentinel(self, lit, cls): + """Check if a literal is a sentinel of a given clause. + + Examples + ======== + + >>> from sympy.logic.algorithms.dpll2 import SATSolver + >>> l = SATSolver([{2, -3}, {1}, {3, -3}, {2, -2}, + ... {3, -2}], {1, 2, 3}, set()) + >>> next(l._find_model()) + {1: True, 2: False, 3: False} + >>> l._is_sentinel(2, 3) + True + >>> l._is_sentinel(-3, 1) + False + + """ + return cls in self.sentinels[lit] + + def _assign_literal(self, lit): + """Make a literal assignment. + + The literal assignment must be recorded as part of the current + decision level. Additionally, if the literal is marked as a + sentinel of any clause, then a new sentinel must be chosen. If + this is not possible, then unit propagation is triggered and + another literal is added to the queue to be set in the future. + + Examples + ======== + + >>> from sympy.logic.algorithms.dpll2 import SATSolver + >>> l = SATSolver([{2, -3}, {1}, {3, -3}, {2, -2}, + ... {3, -2}], {1, 2, 3}, set()) + >>> next(l._find_model()) + {1: True, 2: False, 3: False} + >>> l.var_settings + {-3, -2, 1} + + >>> l = SATSolver([{2, -3}, {1}, {3, -3}, {2, -2}, + ... {3, -2}], {1, 2, 3}, set()) + >>> l._assign_literal(-1) + >>> try: + ... next(l._find_model()) + ... except StopIteration: + ... pass + >>> l.var_settings + {-1} + + """ + self.var_settings.add(lit) + self._current_level.var_settings.add(lit) + self.variable_set[abs(lit)] = True + self.heur_lit_assigned(lit) + + sentinel_list = list(self.sentinels[-lit]) + + for cls in sentinel_list: + if not self._clause_sat(cls): + other_sentinel = None + for newlit in self.clauses[cls]: + if newlit != -lit: + if self._is_sentinel(newlit, cls): + other_sentinel = newlit + elif not self.variable_set[abs(newlit)]: + self.sentinels[-lit].remove(cls) + self.sentinels[newlit].add(cls) + other_sentinel = None + break + + # Check if no sentinel update exists + if other_sentinel: + self._unit_prop_queue.append(other_sentinel) + + def _undo(self): + """ + _undo the changes of the most recent decision level. + + Examples + ======== + + >>> from sympy.logic.algorithms.dpll2 import SATSolver + >>> l = SATSolver([{2, -3}, {1}, {3, -3}, {2, -2}, + ... {3, -2}], {1, 2, 3}, set()) + >>> next(l._find_model()) + {1: True, 2: False, 3: False} + >>> level = l._current_level + >>> level.decision, level.var_settings, level.flipped + (-3, {-3, -2}, False) + >>> l._undo() + >>> level = l._current_level + >>> level.decision, level.var_settings, level.flipped + (0, {1}, False) + + """ + # Undo the variable settings + for lit in self._current_level.var_settings: + self.var_settings.remove(lit) + self.heur_lit_unset(lit) + self.variable_set[abs(lit)] = False + + # Pop the level off the stack + self.levels.pop() + + ######################### + # Propagation # + ######################### + """ + Propagation methods should attempt to soundly simplify the boolean + theory, and return True if any simplification occurred and False + otherwise. + """ + def _simplify(self): + """Iterate over the various forms of propagation to simplify the theory. + + Examples + ======== + + >>> from sympy.logic.algorithms.dpll2 import SATSolver + >>> l = SATSolver([{2, -3}, {1}, {3, -3}, {2, -2}, + ... {3, -2}], {1, 2, 3}, set()) + >>> l.variable_set + [False, False, False, False] + >>> l.sentinels + {-3: {0, 2}, -2: {3, 4}, 2: {0, 3}, 3: {2, 4}} + + >>> l._simplify() + + >>> l.variable_set + [False, True, False, False] + >>> l.sentinels + {-3: {0, 2}, -2: {3, 4}, -1: set(), 2: {0, 3}, + ...3: {2, 4}} + + """ + changed = True + while changed: + changed = False + changed |= self._unit_prop() + changed |= self._pure_literal() + + def _unit_prop(self): + """Perform unit propagation on the current theory.""" + result = len(self._unit_prop_queue) > 0 + while self._unit_prop_queue: + next_lit = self._unit_prop_queue.pop() + if -next_lit in self.var_settings: + self.is_unsatisfied = True + self._unit_prop_queue = [] + return False + else: + self._assign_literal(next_lit) + + return result + + def _pure_literal(self): + """Look for pure literals and assign them when found.""" + return False + + ######################### + # Heuristics # + ######################### + def _vsids_init(self): + """Initialize the data structures needed for the VSIDS heuristic.""" + self.lit_heap = [] + self.lit_scores = {} + + for var in range(1, len(self.variable_set)): + self.lit_scores[var] = float(-self.occurrence_count[var]) + self.lit_scores[-var] = float(-self.occurrence_count[-var]) + heappush(self.lit_heap, (self.lit_scores[var], var)) + heappush(self.lit_heap, (self.lit_scores[-var], -var)) + + def _vsids_decay(self): + """Decay the VSIDS scores for every literal. + + Examples + ======== + + >>> from sympy.logic.algorithms.dpll2 import SATSolver + >>> l = SATSolver([{2, -3}, {1}, {3, -3}, {2, -2}, + ... {3, -2}], {1, 2, 3}, set()) + + >>> l.lit_scores + {-3: -2.0, -2: -2.0, -1: 0.0, 1: 0.0, 2: -2.0, 3: -2.0} + + >>> l._vsids_decay() + + >>> l.lit_scores + {-3: -1.0, -2: -1.0, -1: 0.0, 1: 0.0, 2: -1.0, 3: -1.0} + + """ + # We divide every literal score by 2 for a decay factor + # Note: This doesn't change the heap property + for lit in self.lit_scores.keys(): + self.lit_scores[lit] /= 2.0 + + def _vsids_calculate(self): + """ + VSIDS Heuristic Calculation + + Examples + ======== + + >>> from sympy.logic.algorithms.dpll2 import SATSolver + >>> l = SATSolver([{2, -3}, {1}, {3, -3}, {2, -2}, + ... {3, -2}], {1, 2, 3}, set()) + + >>> l.lit_heap + [(-2.0, -3), (-2.0, 2), (-2.0, -2), (0.0, 1), (-2.0, 3), (0.0, -1)] + + >>> l._vsids_calculate() + -3 + + >>> l.lit_heap + [(-2.0, -2), (-2.0, 2), (0.0, -1), (0.0, 1), (-2.0, 3)] + + """ + if len(self.lit_heap) == 0: + return 0 + + # Clean out the front of the heap as long the variables are set + while self.variable_set[abs(self.lit_heap[0][1])]: + heappop(self.lit_heap) + if len(self.lit_heap) == 0: + return 0 + + return heappop(self.lit_heap)[1] + + def _vsids_lit_assigned(self, lit): + """Handle the assignment of a literal for the VSIDS heuristic.""" + pass + + def _vsids_lit_unset(self, lit): + """Handle the unsetting of a literal for the VSIDS heuristic. + + Examples + ======== + + >>> from sympy.logic.algorithms.dpll2 import SATSolver + >>> l = SATSolver([{2, -3}, {1}, {3, -3}, {2, -2}, + ... {3, -2}], {1, 2, 3}, set()) + >>> l.lit_heap + [(-2.0, -3), (-2.0, 2), (-2.0, -2), (0.0, 1), (-2.0, 3), (0.0, -1)] + + >>> l._vsids_lit_unset(2) + + >>> l.lit_heap + [(-2.0, -3), (-2.0, -2), (-2.0, -2), (-2.0, 2), (-2.0, 3), (0.0, -1), + ...(-2.0, 2), (0.0, 1)] + + """ + var = abs(lit) + heappush(self.lit_heap, (self.lit_scores[var], var)) + heappush(self.lit_heap, (self.lit_scores[-var], -var)) + + def _vsids_clause_added(self, cls): + """Handle the addition of a new clause for the VSIDS heuristic. + + Examples + ======== + + >>> from sympy.logic.algorithms.dpll2 import SATSolver + >>> l = SATSolver([{2, -3}, {1}, {3, -3}, {2, -2}, + ... {3, -2}], {1, 2, 3}, set()) + + >>> l.num_learned_clauses + 0 + >>> l.lit_scores + {-3: -2.0, -2: -2.0, -1: 0.0, 1: 0.0, 2: -2.0, 3: -2.0} + + >>> l._vsids_clause_added({2, -3}) + + >>> l.num_learned_clauses + 1 + >>> l.lit_scores + {-3: -1.0, -2: -2.0, -1: 0.0, 1: 0.0, 2: -1.0, 3: -2.0} + + """ + self.num_learned_clauses += 1 + for lit in cls: + self.lit_scores[lit] += 1 + + ######################## + # Clause Learning # + ######################## + def _simple_add_learned_clause(self, cls): + """Add a new clause to the theory. + + Examples + ======== + + >>> from sympy.logic.algorithms.dpll2 import SATSolver + >>> l = SATSolver([{2, -3}, {1}, {3, -3}, {2, -2}, + ... {3, -2}], {1, 2, 3}, set()) + + >>> l.num_learned_clauses + 0 + >>> l.clauses + [[2, -3], [1], [3, -3], [2, -2], [3, -2]] + >>> l.sentinels + {-3: {0, 2}, -2: {3, 4}, 2: {0, 3}, 3: {2, 4}} + + >>> l._simple_add_learned_clause([3]) + + >>> l.clauses + [[2, -3], [1], [3, -3], [2, -2], [3, -2], [3]] + >>> l.sentinels + {-3: {0, 2}, -2: {3, 4}, 2: {0, 3}, 3: {2, 4, 5}} + + """ + cls_num = len(self.clauses) + self.clauses.append(cls) + + for lit in cls: + self.occurrence_count[lit] += 1 + + self.sentinels[cls[0]].add(cls_num) + self.sentinels[cls[-1]].add(cls_num) + + self.heur_clause_added(cls) + + def _simple_compute_conflict(self): + """ Build a clause representing the fact that at least one decision made + so far is wrong. + + Examples + ======== + + >>> from sympy.logic.algorithms.dpll2 import SATSolver + >>> l = SATSolver([{2, -3}, {1}, {3, -3}, {2, -2}, + ... {3, -2}], {1, 2, 3}, set()) + >>> next(l._find_model()) + {1: True, 2: False, 3: False} + >>> l._simple_compute_conflict() + [3] + + """ + return [-(level.decision) for level in self.levels[1:]] + + def _simple_clean_clauses(self): + """Clean up learned clauses.""" + pass + + +class Level: + """ + Represents a single level in the DPLL algorithm, and contains + enough information for a sound backtracking procedure. + """ + + def __init__(self, decision, flipped=False): + self.decision = decision + self.var_settings = set() + self.flipped = flipped diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/logic/algorithms/lra_theory.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/logic/algorithms/lra_theory.py new file mode 100644 index 0000000000000000000000000000000000000000..1690760d36003aed6866f593120c05a5b8f92c83 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/logic/algorithms/lra_theory.py @@ -0,0 +1,912 @@ +"""Implements "A Fast Linear-Arithmetic Solver for DPLL(T)" + +The LRASolver class defined in this file can be used +in conjunction with a SAT solver to check the +satisfiability of formulas involving inequalities. + +Here's an example of how that would work: + + Suppose you want to check the satisfiability of + the following formula: + + >>> from sympy.core.relational import Eq + >>> from sympy.abc import x, y + >>> f = ((x > 0) | (x < 0)) & (Eq(x, 0) | Eq(y, 1)) & (~Eq(y, 1) | Eq(1, 2)) + + First a preprocessing step should be done on f. During preprocessing, + f should be checked for any predicates such as `Q.prime` that can't be + handled. Also unequality like `~Eq(y, 1)` should be split. + + I should mention that the paper says to split both equalities and + unequality, but this implementation only requires that unequality + be split. + + >>> f = ((x > 0) | (x < 0)) & (Eq(x, 0) | Eq(y, 1)) & ((y < 1) | (y > 1) | Eq(1, 2)) + + Then an LRASolver instance needs to be initialized with this formula. + + >>> from sympy.assumptions.cnf import CNF, EncodedCNF + >>> from sympy.assumptions.ask import Q + >>> from sympy.logic.algorithms.lra_theory import LRASolver + >>> cnf = CNF.from_prop(f) + >>> enc = EncodedCNF() + >>> enc.add_from_cnf(cnf) + >>> lra, conflicts = LRASolver.from_encoded_cnf(enc) + + Any immediate one-lital conflicts clauses will be detected here. + In this example, `~Eq(1, 2)` is one such conflict clause. We'll + want to add it to `f` so that the SAT solver is forced to + assign Eq(1, 2) to False. + + >>> f = f & ~Eq(1, 2) + + Now that the one-literal conflict clauses have been added + and an lra object has been initialized, we can pass `f` + to a SAT solver. The SAT solver will give us a satisfying + assignment such as: + + (1 = 2): False + (y = 1): True + (y < 1): True + (y > 1): True + (x = 0): True + (x < 0): True + (x > 0): True + + Next you would pass this assignment to the LRASolver + which will be able to determine that this particular + assignment is satisfiable or not. + + Note that since EncodedCNF is inherently non-deterministic, + the int each predicate is encoded as is not consistent. As a + result, the code below likely does not reflect the assignment + given above. + + >>> lra.assert_lit(-1) #doctest: +SKIP + >>> lra.assert_lit(2) #doctest: +SKIP + >>> lra.assert_lit(3) #doctest: +SKIP + >>> lra.assert_lit(4) #doctest: +SKIP + >>> lra.assert_lit(5) #doctest: +SKIP + >>> lra.assert_lit(6) #doctest: +SKIP + >>> lra.assert_lit(7) #doctest: +SKIP + >>> is_sat, conflict_or_assignment = lra.check() + + As the particular assignment suggested is not satisfiable, + the LRASolver will return unsat and a conflict clause when + given that assignment. The conflict clause will always be + minimal, but there can be multiple minimal conflict clauses. + One possible conflict clause could be `~(x < 0) | ~(x > 0)`. + + We would then add whatever conflict clause is given to + `f` to prevent the SAT solver from coming up with an + assignment with the same conflicting literals. In this case, + the conflict clause `~(x < 0) | ~(x > 0)` would prevent + any assignment where both (x < 0) and (x > 0) were both + true. + + The SAT solver would then find another assignment + and we would check that assignment with the LRASolver + and so on. Eventually either a satisfying assignment + that the SAT solver and LRASolver agreed on would be found + or enough conflict clauses would be added so that the + boolean formula was unsatisfiable. + + +This implementation is based on [1]_, which includes a +detailed explanation of the algorithm and pseudocode +for the most important functions. + +[1]_ also explains how backtracking and theory propagation +could be implemented to speed up the current implementation, +but these are not currently implemented. + +TODO: + - Handle non-rational real numbers + - Handle positive and negative infinity + - Implement backtracking and theory proposition + - Simplify matrix by removing unused variables using Gaussian elimination + +References +========== + +.. [1] Dutertre, B., de Moura, L.: + A Fast Linear-Arithmetic Solver for DPLL(T) + https://link.springer.com/chapter/10.1007/11817963_11 +""" +from sympy.solvers.solveset import linear_eq_to_matrix +from sympy.matrices.dense import eye +from sympy.assumptions import Predicate +from sympy.assumptions.assume import AppliedPredicate +from sympy.assumptions.ask import Q +from sympy.core import Dummy +from sympy.core.mul import Mul +from sympy.core.add import Add +from sympy.core.relational import Eq, Ne +from sympy.core.sympify import sympify +from sympy.core.singleton import S +from sympy.core.numbers import Rational, oo +from sympy.matrices.dense import Matrix + +class UnhandledInput(Exception): + """ + Raised while creating an LRASolver if non-linearity + or non-rational numbers are present. + """ + +# predicates that LRASolver understands and makes use of +ALLOWED_PRED = {Q.eq, Q.gt, Q.lt, Q.le, Q.ge} + +# if true ~Q.gt(x, y) implies Q.le(x, y) +HANDLE_NEGATION = True + +class LRASolver(): + """ + Linear Arithmetic Solver for DPLL(T) implemented with an algorithm based on + the Dual Simplex method. Uses Bland's pivoting rule to avoid cycling. + + References + ========== + + .. [1] Dutertre, B., de Moura, L.: + A Fast Linear-Arithmetic Solver for DPLL(T) + https://link.springer.com/chapter/10.1007/11817963_11 + """ + + def __init__(self, A, slack_variables, nonslack_variables, enc_to_boundary, s_subs, testing_mode): + """ + Use the "from_encoded_cnf" method to create a new LRASolver. + """ + self.run_checks = testing_mode + self.s_subs = s_subs # used only for test_lra_theory.test_random_problems + + if any(not isinstance(a, Rational) for a in A): + raise UnhandledInput("Non-rational numbers are not handled") + if any(not isinstance(b.bound, Rational) for b in enc_to_boundary.values()): + raise UnhandledInput("Non-rational numbers are not handled") + m, n = len(slack_variables), len(slack_variables)+len(nonslack_variables) + if m != 0: + assert A.shape == (m, n) + if self.run_checks: + assert A[:, n-m:] == -eye(m) + + self.enc_to_boundary = enc_to_boundary # mapping of int to Boundary objects + self.boundary_to_enc = {value: key for key, value in enc_to_boundary.items()} + self.A = A + self.slack = slack_variables + self.nonslack = nonslack_variables + self.all_var = nonslack_variables + slack_variables + + self.slack_set = set(slack_variables) + + self.is_sat = True # While True, all constraints asserted so far are satisfiable + self.result = None # always one of: (True, assignment), (False, conflict clause), None + + @staticmethod + def from_encoded_cnf(encoded_cnf, testing_mode=False): + """ + Creates an LRASolver from an EncodedCNF object + and a list of conflict clauses for propositions + that can be simplified to True or False. + + Parameters + ========== + + encoded_cnf : EncodedCNF + + testing_mode : bool + Setting testing_mode to True enables some slow assert statements + and sorting to reduce nonterministic behavior. + + Returns + ======= + + (lra, conflicts) + + lra : LRASolver + + conflicts : list + Contains a one-literal conflict clause for each proposition + that can be simplified to True or False. + + Example + ======= + + >>> from sympy.core.relational import Eq + >>> from sympy.assumptions.cnf import CNF, EncodedCNF + >>> from sympy.assumptions.ask import Q + >>> from sympy.logic.algorithms.lra_theory import LRASolver + >>> from sympy.abc import x, y, z + >>> phi = (x >= 0) & ((x + y <= 2) | (x + 2 * y - z >= 6)) + >>> phi = phi & (Eq(x + y, 2) | (x + 2 * y - z > 4)) + >>> phi = phi & Q.gt(2, 1) + >>> cnf = CNF.from_prop(phi) + >>> enc = EncodedCNF() + >>> enc.from_cnf(cnf) + >>> lra, conflicts = LRASolver.from_encoded_cnf(enc, testing_mode=True) + >>> lra #doctest: +SKIP + + >>> conflicts #doctest: +SKIP + [[4]] + """ + # This function has three main jobs: + # - raise errors if the input formula is not handled + # - preprocesses the formula into a matrix and single variable constraints + # - create one-literal conflict clauses from predicates that are always True + # or always False such as Q.gt(3, 2) + # + # See the preprocessing section of "A Fast Linear-Arithmetic Solver for DPLL(T)" + # for an explanation of how the formula is converted into a matrix + # and a set of single variable constraints. + + encoding = {} # maps int to boundary + A = [] + + basic = [] + s_count = 0 + s_subs = {} + nonbasic = [] + + if testing_mode: + # sort to reduce nondeterminism + encoded_cnf_items = sorted(encoded_cnf.encoding.items(), key=lambda x: str(x)) + else: + encoded_cnf_items = encoded_cnf.encoding.items() + + empty_var = Dummy() + var_to_lra_var = {} + conflicts = [] + + for prop, enc in encoded_cnf_items: + if isinstance(prop, Predicate): + prop = prop(empty_var) + if not isinstance(prop, AppliedPredicate): + if prop == True: + conflicts.append([enc]) + continue + if prop == False: + conflicts.append([-enc]) + continue + + raise ValueError(f"Unhandled Predicate: {prop}") + + assert prop.function in ALLOWED_PRED + if prop.lhs == S.NaN or prop.rhs == S.NaN: + raise ValueError(f"{prop} contains nan") + if prop.lhs.is_imaginary or prop.rhs.is_imaginary: + raise UnhandledInput(f"{prop} contains an imaginary component") + if prop.lhs == oo or prop.rhs == oo: + raise UnhandledInput(f"{prop} contains infinity") + + prop = _eval_binrel(prop) # simplify variable-less quantities to True / False if possible + if prop == True: + conflicts.append([enc]) + continue + elif prop == False: + conflicts.append([-enc]) + continue + elif prop is None: + raise UnhandledInput(f"{prop} could not be simplified") + + expr = prop.lhs - prop.rhs + if prop.function in [Q.ge, Q.gt]: + expr = -expr + + # expr should be less than (or equal to) 0 + # otherwise prop is False + if prop.function in [Q.le, Q.ge]: + bool = (expr <= 0) + elif prop.function in [Q.lt, Q.gt]: + bool = (expr < 0) + else: + assert prop.function == Q.eq + bool = Eq(expr, 0) + + if bool == True: + conflicts.append([enc]) + continue + elif bool == False: + conflicts.append([-enc]) + continue + + + vars, const = _sep_const_terms(expr) # example: (2x + 3y + 2) --> (2x + 3y), (2) + vars, var_coeff = _sep_const_coeff(vars) # examples: (2x) --> (x, 2); (2x + 3y) --> (2x + 3y), (1) + const = const / var_coeff + + terms = _list_terms(vars) # example: (2x + 3y) --> [2x, 3y] + for term in terms: + term, _ = _sep_const_coeff(term) + assert len(term.free_symbols) > 0 + if term not in var_to_lra_var: + var_to_lra_var[term] = LRAVariable(term) + nonbasic.append(term) + + if len(terms) > 1: + if vars not in s_subs: + s_count += 1 + d = Dummy(f"s{s_count}") + var_to_lra_var[d] = LRAVariable(d) + basic.append(d) + s_subs[vars] = d + A.append(vars - d) + var = s_subs[vars] + else: + var = terms[0] + + assert var_coeff != 0 + + equality = prop.function == Q.eq + upper = var_coeff > 0 if not equality else None + strict = prop.function in [Q.gt, Q.lt] + b = Boundary(var_to_lra_var[var], -const, upper, equality, strict) + encoding[enc] = b + + fs = [v.free_symbols for v in nonbasic + basic] + assert all(len(syms) > 0 for syms in fs) + fs_count = sum(len(syms) for syms in fs) + if len(fs) > 0 and len(set.union(*fs)) < fs_count: + raise UnhandledInput("Nonlinearity is not handled") + + A, _ = linear_eq_to_matrix(A, nonbasic + basic) + nonbasic = [var_to_lra_var[nb] for nb in nonbasic] + basic = [var_to_lra_var[b] for b in basic] + for idx, var in enumerate(nonbasic + basic): + var.col_idx = idx + + return LRASolver(A, basic, nonbasic, encoding, s_subs, testing_mode), conflicts + + def reset_bounds(self): + """ + Resets the state of the LRASolver to before + anything was asserted. + """ + self.result = None + for var in self.all_var: + var.lower = LRARational(-float("inf"), 0) + var.lower_from_eq = False + var.lower_from_neg = False + var.upper = LRARational(float("inf"), 0) + var.upper_from_eq= False + var.lower_from_neg = False + var.assign = LRARational(0, 0) + + def assert_lit(self, enc_constraint): + """ + Assert a literal representing a constraint + and update the internal state accordingly. + + Note that due to peculiarities of this implementation + asserting ~(x > 0) will assert (x <= 0) but asserting + ~Eq(x, 0) will not do anything. + + Parameters + ========== + + enc_constraint : int + A mapping of encodings to constraints + can be found in `self.enc_to_boundary`. + + Returns + ======= + + None or (False, explanation) + + explanation : set of ints + A conflict clause that "explains" why + the literals asserted so far are unsatisfiable. + """ + if abs(enc_constraint) not in self.enc_to_boundary: + return None + + if not HANDLE_NEGATION and enc_constraint < 0: + return None + + boundary = self.enc_to_boundary[abs(enc_constraint)] + sym, c, negated = boundary.var, boundary.bound, enc_constraint < 0 + + if boundary.equality and negated: + return None # negated equality is not handled and should only appear in conflict clauses + + upper = boundary.upper != negated + if boundary.strict != negated: + delta = -1 if upper else 1 + c = LRARational(c, delta) + else: + c = LRARational(c, 0) + + if boundary.equality: + res1 = self._assert_lower(sym, c, from_equality=True, from_neg=negated) + if res1 and res1[0] == False: + res = res1 + else: + res2 = self._assert_upper(sym, c, from_equality=True, from_neg=negated) + res = res2 + elif upper: + res = self._assert_upper(sym, c, from_neg=negated) + else: + res = self._assert_lower(sym, c, from_neg=negated) + + if self.is_sat and sym not in self.slack_set: + self.is_sat = res is None + else: + self.is_sat = False + + return res + + def _assert_upper(self, xi, ci, from_equality=False, from_neg=False): + """ + Adjusts the upper bound on variable xi if the new upper bound is + more limiting. The assignment of variable xi is adjusted to be + within the new bound if needed. + + Also calls `self._update` to update the assignment for slack variables + to keep all equalities satisfied. + """ + if self.result: + assert self.result[0] != False + self.result = None + if ci >= xi.upper: + return None + if ci < xi.lower: + assert (xi.lower[1] >= 0) is True + assert (ci[1] <= 0) is True + + lit1, neg1 = Boundary.from_lower(xi) + + lit2 = Boundary(var=xi, const=ci[0], strict=ci[1] != 0, upper=True, equality=from_equality) + if from_neg: + lit2 = lit2.get_negated() + neg2 = -1 if from_neg else 1 + + conflict = [-neg1*self.boundary_to_enc[lit1], -neg2*self.boundary_to_enc[lit2]] + self.result = False, conflict + return self.result + xi.upper = ci + xi.upper_from_eq = from_equality + xi.upper_from_neg = from_neg + if xi in self.nonslack and xi.assign > ci: + self._update(xi, ci) + + if self.run_checks and all(v.assign[0] != float("inf") and v.assign[0] != -float("inf") + for v in self.all_var): + M = self.A + X = Matrix([v.assign[0] for v in self.all_var]) + assert all(abs(val) < 10 ** (-10) for val in M * X) + + return None + + def _assert_lower(self, xi, ci, from_equality=False, from_neg=False): + """ + Adjusts the lower bound on variable xi if the new lower bound is + more limiting. The assignment of variable xi is adjusted to be + within the new bound if needed. + + Also calls `self._update` to update the assignment for slack variables + to keep all equalities satisfied. + """ + if self.result: + assert self.result[0] != False + self.result = None + if ci <= xi.lower: + return None + if ci > xi.upper: + assert (xi.upper[1] <= 0) is True + assert (ci[1] >= 0) is True + + lit1, neg1 = Boundary.from_upper(xi) + + lit2 = Boundary(var=xi, const=ci[0], strict=ci[1] != 0, upper=False, equality=from_equality) + if from_neg: + lit2 = lit2.get_negated() + neg2 = -1 if from_neg else 1 + + conflict = [-neg1*self.boundary_to_enc[lit1],-neg2*self.boundary_to_enc[lit2]] + self.result = False, conflict + return self.result + xi.lower = ci + xi.lower_from_eq = from_equality + xi.lower_from_neg = from_neg + if xi in self.nonslack and xi.assign < ci: + self._update(xi, ci) + + if self.run_checks and all(v.assign[0] != float("inf") and v.assign[0] != -float("inf") + for v in self.all_var): + M = self.A + X = Matrix([v.assign[0] for v in self.all_var]) + assert all(abs(val) < 10 ** (-10) for val in M * X) + + return None + + def _update(self, xi, v): + """ + Updates all slack variables that have equations that contain + variable xi so that they stay satisfied given xi is equal to v. + """ + i = xi.col_idx + for j, b in enumerate(self.slack): + aji = self.A[j, i] + b.assign = b.assign + (v - xi.assign)*aji + xi.assign = v + + def check(self): + """ + Searches for an assignment that satisfies all constraints + or determines that no such assignment exists and gives + a minimal conflict clause that "explains" why the + constraints are unsatisfiable. + + Returns + ======= + + (True, assignment) or (False, explanation) + + assignment : dict of LRAVariables to values + Assigned values are tuples that represent a rational number + plus some infinatesimal delta. + + explanation : set of ints + """ + if self.is_sat: + return True, {var: var.assign for var in self.all_var} + if self.result: + return self.result + + from sympy.matrices.dense import Matrix + M = self.A.copy() + basic = {s: i for i, s in enumerate(self.slack)} # contains the row index associated with each basic variable + nonbasic = set(self.nonslack) + while True: + if self.run_checks: + # nonbasic variables must always be within bounds + assert all(((nb.assign >= nb.lower) == True) and ((nb.assign <= nb.upper) == True) for nb in nonbasic) + + # assignments for x must always satisfy Ax = 0 + # probably have to turn this off when dealing with strict ineq + if all(v.assign[0] != float("inf") and v.assign[0] != -float("inf") + for v in self.all_var): + X = Matrix([v.assign[0] for v in self.all_var]) + assert all(abs(val) < 10**(-10) for val in M*X) + + # check upper and lower match this format: + # x <= rat + delta iff x < rat + # x >= rat - delta iff x > rat + # this wouldn't make sense: + # x <= rat - delta + # x >= rat + delta + assert all(x.upper[1] <= 0 for x in self.all_var) + assert all(x.lower[1] >= 0 for x in self.all_var) + + cand = [b for b in basic if b.assign < b.lower or b.assign > b.upper] + + if len(cand) == 0: + return True, {var: var.assign for var in self.all_var} + + xi = min(cand, key=lambda v: v.col_idx) # Bland's rule + i = basic[xi] + + if xi.assign < xi.lower: + cand = [nb for nb in nonbasic + if (M[i, nb.col_idx] > 0 and nb.assign < nb.upper) + or (M[i, nb.col_idx] < 0 and nb.assign > nb.lower)] + if len(cand) == 0: + N_plus = [nb for nb in nonbasic if M[i, nb.col_idx] > 0] + N_minus = [nb for nb in nonbasic if M[i, nb.col_idx] < 0] + + conflict = [] + conflict += [Boundary.from_upper(nb) for nb in N_plus] + conflict += [Boundary.from_lower(nb) for nb in N_minus] + conflict.append(Boundary.from_lower(xi)) + conflict = [-neg*self.boundary_to_enc[c] for c, neg in conflict] + return False, conflict + xj = min(cand, key=str) + M = self._pivot_and_update(M, basic, nonbasic, xi, xj, xi.lower) + + if xi.assign > xi.upper: + cand = [nb for nb in nonbasic + if (M[i, nb.col_idx] < 0 and nb.assign < nb.upper) + or (M[i, nb.col_idx] > 0 and nb.assign > nb.lower)] + + if len(cand) == 0: + N_plus = [nb for nb in nonbasic if M[i, nb.col_idx] > 0] + N_minus = [nb for nb in nonbasic if M[i, nb.col_idx] < 0] + + conflict = [] + conflict += [Boundary.from_upper(nb) for nb in N_minus] + conflict += [Boundary.from_lower(nb) for nb in N_plus] + conflict.append(Boundary.from_upper(xi)) + + conflict = [-neg*self.boundary_to_enc[c] for c, neg in conflict] + return False, conflict + xj = min(cand, key=lambda v: v.col_idx) + M = self._pivot_and_update(M, basic, nonbasic, xi, xj, xi.upper) + + def _pivot_and_update(self, M, basic, nonbasic, xi, xj, v): + """ + Pivots basic variable xi with nonbasic variable xj, + and sets value of xi to v and adjusts the values of all basic variables + to keep equations satisfied. + """ + i, j = basic[xi], xj.col_idx + assert M[i, j] != 0 + theta = (v - xi.assign)*(1/M[i, j]) + xi.assign = v + xj.assign = xj.assign + theta + for xk in basic: + if xk != xi: + k = basic[xk] + akj = M[k, j] + xk.assign = xk.assign + theta*akj + # pivot + basic[xj] = basic[xi] + del basic[xi] + nonbasic.add(xi) + nonbasic.remove(xj) + return self._pivot(M, i, j) + + @staticmethod + def _pivot(M, i, j): + """ + Performs a pivot operation about entry i, j of M by performing + a series of row operations on a copy of M and returning the result. + The original M is left unmodified. + + Conceptually, M represents a system of equations and pivoting + can be thought of as rearranging equation i to be in terms of + variable j and then substituting in the rest of the equations + to get rid of other occurances of variable j. + + Example + ======= + + >>> from sympy.matrices.dense import Matrix + >>> from sympy.logic.algorithms.lra_theory import LRASolver + >>> from sympy import var + >>> Matrix(3, 3, var('a:i')) + Matrix([ + [a, b, c], + [d, e, f], + [g, h, i]]) + + This matrix is equivalent to: + 0 = a*x + b*y + c*z + 0 = d*x + e*y + f*z + 0 = g*x + h*y + i*z + + >>> LRASolver._pivot(_, 1, 0) + Matrix([ + [ 0, -a*e/d + b, -a*f/d + c], + [-1, -e/d, -f/d], + [ 0, h - e*g/d, i - f*g/d]]) + + We rearrange equation 1 in terms of variable 0 (x) + and substitute to remove x from the other equations. + + 0 = 0 + (-a*e/d + b)*y + (-a*f/d + c)*z + 0 = -x + (-e/d)*y + (-f/d)*z + 0 = 0 + (h - e*g/d)*y + (i - f*g/d)*z + """ + _, _, Mij = M[i, :], M[:, j], M[i, j] + if Mij == 0: + raise ZeroDivisionError("Tried to pivot about zero-valued entry.") + A = M.copy() + A[i, :] = -A[i, :]/Mij + for row in range(M.shape[0]): + if row != i: + A[row, :] = A[row, :] + A[row, j] * A[i, :] + + return A + + +def _sep_const_coeff(expr): + """ + Example + ======= + + >>> from sympy.logic.algorithms.lra_theory import _sep_const_coeff + >>> from sympy.abc import x, y + >>> _sep_const_coeff(2*x) + (x, 2) + >>> _sep_const_coeff(2*x + 3*y) + (2*x + 3*y, 1) + """ + if isinstance(expr, Add): + return expr, sympify(1) + + if isinstance(expr, Mul): + coeffs = expr.args + else: + coeffs = [expr] + + var, const = [], [] + for c in coeffs: + c = sympify(c) + if len(c.free_symbols)==0: + const.append(c) + else: + var.append(c) + return Mul(*var), Mul(*const) + + +def _list_terms(expr): + if not isinstance(expr, Add): + return [expr] + + return expr.args + + +def _sep_const_terms(expr): + """ + Example + ======= + + >>> from sympy.logic.algorithms.lra_theory import _sep_const_terms + >>> from sympy.abc import x, y + >>> _sep_const_terms(2*x + 3*y + 2) + (2*x + 3*y, 2) + """ + if isinstance(expr, Add): + terms = expr.args + else: + terms = [expr] + + var, const = [], [] + for t in terms: + if len(t.free_symbols) == 0: + const.append(t) + else: + var.append(t) + return sum(var), sum(const) + + +def _eval_binrel(binrel): + """ + Simplify binary relation to True / False if possible. + """ + if not (len(binrel.lhs.free_symbols) == 0 and len(binrel.rhs.free_symbols) == 0): + return binrel + if binrel.function == Q.lt: + res = binrel.lhs < binrel.rhs + elif binrel.function == Q.gt: + res = binrel.lhs > binrel.rhs + elif binrel.function == Q.le: + res = binrel.lhs <= binrel.rhs + elif binrel.function == Q.ge: + res = binrel.lhs >= binrel.rhs + elif binrel.function == Q.eq: + res = Eq(binrel.lhs, binrel.rhs) + elif binrel.function == Q.ne: + res = Ne(binrel.lhs, binrel.rhs) + + if res == True or res == False: + return res + else: + return None + + +class Boundary: + """ + Represents an upper or lower bound or an equality between a symbol + and some constant. + """ + def __init__(self, var, const, upper, equality, strict=None): + if not equality in [True, False]: + assert equality in [True, False] + + + self.var = var + if isinstance(const, tuple): + s = const[1] != 0 + if strict: + assert s == strict + self.bound = const[0] + self.strict = s + else: + self.bound = const + self.strict = strict + self.upper = upper if not equality else None + self.equality = equality + self.strict = strict + assert self.strict is not None + + @staticmethod + def from_upper(var): + neg = -1 if var.upper_from_neg else 1 + b = Boundary(var, var.upper[0], True, var.upper_from_eq, var.upper[1] != 0) + if neg < 0: + b = b.get_negated() + return b, neg + + @staticmethod + def from_lower(var): + neg = -1 if var.lower_from_neg else 1 + b = Boundary(var, var.lower[0], False, var.lower_from_eq, var.lower[1] != 0) + if neg < 0: + b = b.get_negated() + return b, neg + + def get_negated(self): + return Boundary(self.var, self.bound, not self.upper, self.equality, not self.strict) + + def get_inequality(self): + if self.equality: + return Eq(self.var.var, self.bound) + elif self.upper and self.strict: + return self.var.var < self.bound + elif not self.upper and self.strict: + return self.var.var > self.bound + elif self.upper: + return self.var.var <= self.bound + else: + return self.var.var >= self.bound + + def __repr__(self): + return repr("Boundary(" + repr(self.get_inequality()) + ")") + + def __eq__(self, other): + other = (other.var, other.bound, other.strict, other.upper, other.equality) + return (self.var, self.bound, self.strict, self.upper, self.equality) == other + + def __hash__(self): + return hash((self.var, self.bound, self.strict, self.upper, self.equality)) + + +class LRARational(): + """ + Represents a rational plus or minus some amount + of arbitrary small deltas. + """ + def __init__(self, rational, delta): + self.value = (rational, delta) + + def __lt__(self, other): + return self.value < other.value + + def __le__(self, other): + return self.value <= other.value + + def __eq__(self, other): + return self.value == other.value + + def __add__(self, other): + return LRARational(self.value[0] + other.value[0], self.value[1] + other.value[1]) + + def __sub__(self, other): + return LRARational(self.value[0] - other.value[0], self.value[1] - other.value[1]) + + def __mul__(self, other): + assert not isinstance(other, LRARational) + return LRARational(self.value[0] * other, self.value[1] * other) + + def __getitem__(self, index): + return self.value[index] + + def __repr__(self): + return repr(self.value) + + +class LRAVariable(): + """ + Object to keep track of upper and lower bounds + on `self.var`. + """ + def __init__(self, var): + self.upper = LRARational(float("inf"), 0) + self.upper_from_eq = False + self.upper_from_neg = False + self.lower = LRARational(-float("inf"), 0) + self.lower_from_eq = False + self.lower_from_neg = False + self.assign = LRARational(0,0) + self.var = var + self.col_idx = None + + def __repr__(self): + return repr(self.var) + + def __eq__(self, other): + if not isinstance(other, LRAVariable): + return False + return other.var == self.var + + def __hash__(self): + return hash(self.var) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/logic/algorithms/minisat22_wrapper.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/logic/algorithms/minisat22_wrapper.py new file mode 100644 index 0000000000000000000000000000000000000000..1d5c1f8f14f04309f7cb8197cc05d01a3c108545 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/logic/algorithms/minisat22_wrapper.py @@ -0,0 +1,46 @@ +from sympy.assumptions.cnf import EncodedCNF + +def minisat22_satisfiable(expr, all_models=False, minimal=False): + + if not isinstance(expr, EncodedCNF): + exprs = EncodedCNF() + exprs.add_prop(expr) + expr = exprs + + from pysat.solvers import Minisat22 + + # Return UNSAT when False (encoded as 0) is present in the CNF + if {0} in expr.data: + if all_models: + return (f for f in [False]) + return False + + r = Minisat22(expr.data) + + if minimal: + r.set_phases([-(i+1) for i in range(r.nof_vars())]) + + if not r.solve(): + return False + + if not all_models: + return {expr.symbols[abs(lit) - 1]: lit > 0 for lit in r.get_model()} + + else: + # Make solutions SymPy compatible by creating a generator + def _gen(results): + satisfiable = False + while results.solve(): + sol = results.get_model() + yield {expr.symbols[abs(lit) - 1]: lit > 0 for lit in sol} + if minimal: + results.add_clause([-i for i in sol if i>0]) + else: + results.add_clause([-i for i in sol]) + satisfiable = True + if not satisfiable: + yield False + raise StopIteration + + + return _gen(r) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/logic/algorithms/pycosat_wrapper.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/logic/algorithms/pycosat_wrapper.py new file mode 100644 index 0000000000000000000000000000000000000000..5ff498b7e3f6b73d95e9b949598ef32df4ecf226 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/logic/algorithms/pycosat_wrapper.py @@ -0,0 +1,41 @@ +from sympy.assumptions.cnf import EncodedCNF + + +def pycosat_satisfiable(expr, all_models=False): + import pycosat + if not isinstance(expr, EncodedCNF): + exprs = EncodedCNF() + exprs.add_prop(expr) + expr = exprs + + # Return UNSAT when False (encoded as 0) is present in the CNF + if {0} in expr.data: + if all_models: + return (f for f in [False]) + return False + + if not all_models: + r = pycosat.solve(expr.data) + result = (r != "UNSAT") + if not result: + return result + return {expr.symbols[abs(lit) - 1]: lit > 0 for lit in r} + else: + r = pycosat.itersolve(expr.data) + result = (r != "UNSAT") + if not result: + return result + + # Make solutions SymPy compatible by creating a generator + def _gen(results): + satisfiable = False + try: + while True: + sol = next(results) + yield {expr.symbols[abs(lit) - 1]: lit > 0 for lit in sol} + satisfiable = True + except StopIteration: + if not satisfiable: + yield False + + return _gen(r) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/logic/algorithms/z3_wrapper.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/logic/algorithms/z3_wrapper.py new file mode 100644 index 0000000000000000000000000000000000000000..fe44f713a2edfd5286c0f81b737212146766b11b --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/logic/algorithms/z3_wrapper.py @@ -0,0 +1,115 @@ +from sympy.printing.smtlib import smtlib_code +from sympy.assumptions.assume import AppliedPredicate +from sympy.assumptions.cnf import EncodedCNF +from sympy.assumptions.ask import Q + +from sympy.core import Add, Mul +from sympy.core.relational import Equality, LessThan, GreaterThan, StrictLessThan, StrictGreaterThan +from sympy.functions.elementary.complexes import Abs +from sympy.functions.elementary.exponential import Pow +from sympy.functions.elementary.miscellaneous import Min, Max +from sympy.logic.boolalg import And, Or, Xor, Implies +from sympy.logic.boolalg import Not, ITE +from sympy.assumptions.relation.equality import StrictGreaterThanPredicate, StrictLessThanPredicate, GreaterThanPredicate, LessThanPredicate, EqualityPredicate +from sympy.external import import_module + +def z3_satisfiable(expr, all_models=False): + if not isinstance(expr, EncodedCNF): + exprs = EncodedCNF() + exprs.add_prop(expr) + expr = exprs + + z3 = import_module("z3") + if z3 is None: + raise ImportError("z3 is not installed") + + s = encoded_cnf_to_z3_solver(expr, z3) + + res = str(s.check()) + if res == "unsat": + return False + elif res == "sat": + return z3_model_to_sympy_model(s.model(), expr) + else: + return None + + +def z3_model_to_sympy_model(z3_model, enc_cnf): + rev_enc = {value : key for key, value in enc_cnf.encoding.items()} + return {rev_enc[int(var.name()[1:])] : bool(z3_model[var]) for var in z3_model} + + +def clause_to_assertion(clause): + clause_strings = [f"d{abs(lit)}" if lit > 0 else f"(not d{abs(lit)})" for lit in clause] + return "(assert (or " + " ".join(clause_strings) + "))" + + +def encoded_cnf_to_z3_solver(enc_cnf, z3): + def dummify_bool(pred): + return False + assert isinstance(pred, AppliedPredicate) + + if pred.function in [Q.positive, Q.negative, Q.zero]: + return pred + else: + return False + + s = z3.Solver() + + declarations = [f"(declare-const d{var} Bool)" for var in enc_cnf.variables] + assertions = [clause_to_assertion(clause) for clause in enc_cnf.data] + + symbols = set() + for pred, enc in enc_cnf.encoding.items(): + if not isinstance(pred, AppliedPredicate): + continue + if pred.function not in (Q.gt, Q.lt, Q.ge, Q.le, Q.ne, Q.eq, Q.positive, Q.negative, Q.extended_negative, Q.extended_positive, Q.zero, Q.nonzero, Q.nonnegative, Q.nonpositive, Q.extended_nonzero, Q.extended_nonnegative, Q.extended_nonpositive): + continue + + pred_str = smtlib_code(pred, auto_declare=False, auto_assert=False, known_functions=known_functions) + + symbols |= pred.free_symbols + pred = pred_str + clause = f"(implies d{enc} {pred})" + assertion = "(assert " + clause + ")" + assertions.append(assertion) + + for sym in symbols: + declarations.append(f"(declare-const {sym} Real)") + + declarations = "\n".join(declarations) + assertions = "\n".join(assertions) + s.from_string(declarations) + s.from_string(assertions) + + return s + + +known_functions = { + Add: '+', + Mul: '*', + + Equality: '=', + LessThan: '<=', + GreaterThan: '>=', + StrictLessThan: '<', + StrictGreaterThan: '>', + + EqualityPredicate(): '=', + LessThanPredicate(): '<=', + GreaterThanPredicate(): '>=', + StrictLessThanPredicate(): '<', + StrictGreaterThanPredicate(): '>', + + Abs: 'abs', + Min: 'min', + Max: 'max', + Pow: '^', + + And: 'and', + Or: 'or', + Xor: 'xor', + Not: 'not', + ITE: 'ite', + Implies: '=>', + } diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/logic/tests/__init__.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/logic/tests/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/logic/tests/__pycache__/__init__.cpython-312.pyc b/tool_server/.venv/lib/python3.12/site-packages/sympy/logic/tests/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 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b/tool_server/.venv/lib/python3.12/site-packages/sympy/logic/tests/__pycache__/test_lra_theory.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..9264b620e23e12af94026ec0cd2ce544097e71a0 Binary files /dev/null and b/tool_server/.venv/lib/python3.12/site-packages/sympy/logic/tests/__pycache__/test_lra_theory.cpython-312.pyc differ diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/logic/tests/test_boolalg.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/logic/tests/test_boolalg.py new file mode 100644 index 0000000000000000000000000000000000000000..88cdd647fdcc723faee328f71df96030841a3edb --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/logic/tests/test_boolalg.py @@ -0,0 +1,1367 @@ +from sympy.assumptions.ask import Q +from sympy.assumptions.refine import refine +from sympy.core.numbers import oo +from sympy.core.relational import Equality, Eq, Ne +from sympy.core.singleton import S +from sympy.core.symbol import (Dummy, symbols) +from sympy.functions import Piecewise +from sympy.functions.elementary.trigonometric import cos, sin +from sympy.sets.sets import Interval, Union +from sympy.sets.contains import Contains +from sympy.simplify.simplify import simplify +from sympy.logic.boolalg import ( + And, Boolean, Equivalent, ITE, Implies, Nand, Nor, Not, Or, + POSform, SOPform, Xor, Xnor, conjuncts, disjuncts, + distribute_or_over_and, distribute_and_over_or, + eliminate_implications, is_nnf, is_cnf, is_dnf, simplify_logic, + to_nnf, to_cnf, to_dnf, to_int_repr, bool_map, true, false, + BooleanAtom, is_literal, term_to_integer, + truth_table, as_Boolean, to_anf, is_anf, distribute_xor_over_and, + anf_coeffs, ANFform, bool_minterm, bool_maxterm, bool_monomial, + _check_pair, _convert_to_varsSOP, _convert_to_varsPOS, Exclusive, + gateinputcount) +from sympy.assumptions.cnf import CNF + +from sympy.testing.pytest import raises, XFAIL, slow + +from itertools import combinations, permutations, product + +A, B, C, D = symbols('A:D') +a, b, c, d, e, w, x, y, z = symbols('a:e w:z') + + +def test_overloading(): + """Test that |, & are overloaded as expected""" + + assert A & B == And(A, B) + assert A | B == Or(A, B) + assert (A & B) | C == Or(And(A, B), C) + assert A >> B == Implies(A, B) + assert A << B == Implies(B, A) + assert ~A == Not(A) + assert A ^ B == Xor(A, B) + + +def test_And(): + assert And() is true + assert And(A) == A + assert And(True) is true + assert And(False) is false + assert And(True, True) is true + assert And(True, False) is false + assert And(False, False) is false + assert And(True, A) == A + assert And(False, A) is false + assert And(True, True, True) is true + assert And(True, True, A) == A + assert And(True, False, A) is false + assert And(1, A) == A + raises(TypeError, lambda: And(2, A)) + assert And(A < 1, A >= 1) is false + e = A > 1 + assert And(e, e.canonical) == e.canonical + g, l, ge, le = A > B, B < A, A >= B, B <= A + assert And(g, l, ge, le) == And(ge, g) + assert {And(*i) for i in permutations((l, g, le, ge))} == {And(ge, g)} + assert And(And(Eq(a, 0), Eq(b, 0)), And(Ne(a, 0), Eq(c, 0))) is false + + +def test_Or(): + assert Or() is false + assert Or(A) == A + assert Or(True) is true + assert Or(False) is false + assert Or(True, True) is true + assert Or(True, False) is true + assert Or(False, False) is false + assert Or(True, A) is true + assert Or(False, A) == A + assert Or(True, False, False) is true + assert Or(True, False, A) is true + assert Or(False, False, A) == A + assert Or(1, A) is true + raises(TypeError, lambda: Or(2, A)) + assert Or(A < 1, A >= 1) is true + e = A > 1 + assert Or(e, e.canonical) == e + g, l, ge, le = A > B, B < A, A >= B, B <= A + assert Or(g, l, ge, le) == Or(g, ge) + + +def test_Xor(): + assert Xor() is false + assert Xor(A) == A + assert Xor(A, A) is false + assert Xor(True, A, A) is true + assert Xor(A, A, A, A, A) == A + assert Xor(True, False, False, A, B) == ~Xor(A, B) + assert Xor(True) is true + assert Xor(False) is false + assert Xor(True, True) is false + assert Xor(True, False) is true + assert Xor(False, False) is false + assert Xor(True, A) == ~A + assert Xor(False, A) == A + assert Xor(True, False, False) is true + assert Xor(True, False, A) == ~A + assert Xor(False, False, A) == A + assert isinstance(Xor(A, B), Xor) + assert Xor(A, B, Xor(C, D)) == Xor(A, B, C, D) + assert Xor(A, B, Xor(B, C)) == Xor(A, C) + assert Xor(A < 1, A >= 1, B) == Xor(0, 1, B) == Xor(1, 0, B) + e = A > 1 + assert Xor(e, e.canonical) == Xor(0, 0) == Xor(1, 1) + + +def test_rewrite_as_And(): + expr = x ^ y + assert expr.rewrite(And) == (x | y) & (~x | ~y) + + +def test_rewrite_as_Or(): + expr = x ^ y + assert expr.rewrite(Or) == (x & ~y) | (y & ~x) + + +def test_rewrite_as_Nand(): + expr = (y & z) | (z & ~w) + assert expr.rewrite(Nand) == ~(~(y & z) & ~(z & ~w)) + + +def test_rewrite_as_Nor(): + expr = z & (y | ~w) + assert expr.rewrite(Nor) == ~(~z | ~(y | ~w)) + + +def test_Not(): + raises(TypeError, lambda: Not(True, False)) + assert Not(True) is false + assert Not(False) is true + assert Not(0) is true + assert Not(1) is false + assert Not(2) is false + + +def test_Nand(): + assert Nand() is false + assert Nand(A) == ~A + assert Nand(True) is false + assert Nand(False) is true + assert Nand(True, True) is false + assert Nand(True, False) is true + assert Nand(False, False) is true + assert Nand(True, A) == ~A + assert Nand(False, A) is true + assert Nand(True, True, True) is false + assert Nand(True, True, A) == ~A + assert Nand(True, False, A) is true + + +def test_Nor(): + assert Nor() is true + assert Nor(A) == ~A + assert Nor(True) is false + assert Nor(False) is true + assert Nor(True, True) is false + assert Nor(True, False) is false + assert Nor(False, False) is true + assert Nor(True, A) is false + assert Nor(False, A) == ~A + assert Nor(True, True, True) is false + assert Nor(True, True, A) is false + assert Nor(True, False, A) is false + + +def test_Xnor(): + assert Xnor() is true + assert Xnor(A) == ~A + assert Xnor(A, A) is true + assert Xnor(True, A, A) is false + assert Xnor(A, A, A, A, A) == ~A + assert Xnor(True) is false + assert Xnor(False) is true + assert Xnor(True, True) is true + assert Xnor(True, False) is false + assert Xnor(False, False) is true + assert Xnor(True, A) == A + assert Xnor(False, A) == ~A + assert Xnor(True, False, False) is false + assert Xnor(True, False, A) == A + assert Xnor(False, False, A) == ~A + + +def test_Implies(): + raises(ValueError, lambda: Implies(A, B, C)) + assert Implies(True, True) is true + assert Implies(True, False) is false + assert Implies(False, True) is true + assert Implies(False, False) is true + assert Implies(0, A) is true + assert Implies(1, 1) is true + assert Implies(1, 0) is false + assert A >> B == B << A + assert (A < 1) >> (A >= 1) == (A >= 1) + assert (A < 1) >> (S.One > A) is true + assert A >> A is true + + +def test_Equivalent(): + assert Equivalent(A, B) == Equivalent(B, A) == Equivalent(A, B, A) + assert Equivalent() is true + assert Equivalent(A, A) == Equivalent(A) is true + assert Equivalent(True, True) == Equivalent(False, False) is true + assert Equivalent(True, False) == Equivalent(False, True) is false + assert Equivalent(A, True) == A + assert Equivalent(A, False) == Not(A) + assert Equivalent(A, B, True) == A & B + assert Equivalent(A, B, False) == ~A & ~B + assert Equivalent(1, A) == A + assert Equivalent(0, A) == Not(A) + assert Equivalent(A, Equivalent(B, C)) != Equivalent(Equivalent(A, B), C) + assert Equivalent(A < 1, A >= 1) is false + assert Equivalent(A < 1, A >= 1, 0) is false + assert Equivalent(A < 1, A >= 1, 1) is false + assert Equivalent(A < 1, S.One > A) == Equivalent(1, 1) == Equivalent(0, 0) + assert Equivalent(Equality(A, B), Equality(B, A)) is true + + +def test_Exclusive(): + assert Exclusive(False, False, False) is true + assert Exclusive(True, False, False) is true + assert Exclusive(True, True, False) is false + assert Exclusive(True, True, True) is false + + +def test_equals(): + assert Not(Or(A, B)).equals(And(Not(A), Not(B))) is True + assert Equivalent(A, B).equals((A >> B) & (B >> A)) is True + assert ((A | ~B) & (~A | B)).equals((~A & ~B) | (A & B)) is True + assert (A >> B).equals(~A >> ~B) is False + assert (A >> (B >> A)).equals(A >> (C >> A)) is False + raises(NotImplementedError, lambda: (A & B).equals(A > B)) + + +def test_simplification_boolalg(): + """ + Test working of simplification methods. + """ + set1 = [[0, 0, 1], [0, 1, 1], [1, 0, 0], [1, 1, 0]] + set2 = [[0, 0, 0], [0, 1, 0], [1, 0, 1], [1, 1, 1]] + assert SOPform([x, y, z], set1) == Or(And(Not(x), z), And(Not(z), x)) + assert Not(SOPform([x, y, z], set2)) == \ + Not(Or(And(Not(x), Not(z)), And(x, z))) + assert POSform([x, y, z], set1 + set2) is true + assert SOPform([x, y, z], set1 + set2) is true + assert SOPform([Dummy(), Dummy(), Dummy()], set1 + set2) is true + + minterms = [[0, 0, 0, 1], [0, 0, 1, 1], [0, 1, 1, 1], [1, 0, 1, 1], + [1, 1, 1, 1]] + dontcares = [[0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 1]] + assert ( + SOPform([w, x, y, z], minterms, dontcares) == + Or(And(y, z), And(Not(w), Not(x)))) + assert POSform([w, x, y, z], minterms, dontcares) == And(Or(Not(w), y), z) + + minterms = [1, 3, 7, 11, 15] + dontcares = [0, 2, 5] + assert ( + SOPform([w, x, y, z], minterms, dontcares) == + Or(And(y, z), And(Not(w), Not(x)))) + assert POSform([w, x, y, z], minterms, dontcares) == And(Or(Not(w), y), z) + + minterms = [1, [0, 0, 1, 1], 7, [1, 0, 1, 1], + [1, 1, 1, 1]] + dontcares = [0, [0, 0, 1, 0], 5] + assert ( + SOPform([w, x, y, z], minterms, dontcares) == + Or(And(y, z), And(Not(w), Not(x)))) + assert POSform([w, x, y, z], minterms, dontcares) == And(Or(Not(w), y), z) + + minterms = [1, {y: 1, z: 1}] + dontcares = [0, [0, 0, 1, 0], 5] + assert ( + SOPform([w, x, y, z], minterms, dontcares) == + Or(And(y, z), And(Not(w), Not(x)))) + assert POSform([w, x, y, z], minterms, dontcares) == And(Or(Not(w), y), z) + + minterms = [{y: 1, z: 1}, 1] + dontcares = [[0, 0, 0, 0]] + + minterms = [[0, 0, 0]] + raises(ValueError, lambda: SOPform([w, x, y, z], minterms)) + raises(ValueError, lambda: POSform([w, x, y, z], minterms)) + + raises(TypeError, lambda: POSform([w, x, y, z], ["abcdefg"])) + + # test simplification + ans = And(A, Or(B, C)) + assert simplify_logic(A & (B | C)) == ans + assert simplify_logic((A & B) | (A & C)) == ans + assert simplify_logic(Implies(A, B)) == Or(Not(A), B) + assert simplify_logic(Equivalent(A, B)) == \ + Or(And(A, B), And(Not(A), Not(B))) + assert simplify_logic(And(Equality(A, 2), C)) == And(Equality(A, 2), C) + assert simplify_logic(And(Equality(A, 2), A)) == And(Equality(A, 2), A) + assert simplify_logic(And(Equality(A, B), C)) == And(Equality(A, B), C) + assert simplify_logic(Or(And(Equality(A, 3), B), And(Equality(A, 3), C))) \ + == And(Equality(A, 3), Or(B, C)) + b = (~x & ~y & ~z) | (~x & ~y & z) + e = And(A, b) + assert simplify_logic(e) == A & ~x & ~y + raises(ValueError, lambda: simplify_logic(A & (B | C), form='blabla')) + assert simplify(Or(x <= y, And(x < y, z))) == (x <= y) + assert simplify(Or(x <= y, And(y > x, z))) == (x <= y) + assert simplify(Or(x >= y, And(y < x, z))) == (x >= y) + + # Check that expressions with nine variables or more are not simplified + # (without the force-flag) + a, b, c, d, e, f, g, h, j = symbols('a b c d e f g h j') + expr = a & b & c & d & e & f & g & h & j | \ + a & b & c & d & e & f & g & h & ~j + # This expression can be simplified to get rid of the j variables + assert simplify_logic(expr) == expr + + # Test dontcare + assert simplify_logic((a & b) | c | d, dontcare=(a & b)) == c | d + + # check input + ans = SOPform([x, y], [[1, 0]]) + assert SOPform([x, y], [[1, 0]]) == ans + assert POSform([x, y], [[1, 0]]) == ans + + raises(ValueError, lambda: SOPform([x], [[1]], [[1]])) + assert SOPform([x], [[1]], [[0]]) is true + assert SOPform([x], [[0]], [[1]]) is true + assert SOPform([x], [], []) is false + + raises(ValueError, lambda: POSform([x], [[1]], [[1]])) + assert POSform([x], [[1]], [[0]]) is true + assert POSform([x], [[0]], [[1]]) is true + assert POSform([x], [], []) is false + + # check working of simplify + assert simplify((A & B) | (A & C)) == And(A, Or(B, C)) + assert simplify(And(x, Not(x))) == False + assert simplify(Or(x, Not(x))) == True + assert simplify(And(Eq(x, 0), Eq(x, y))) == And(Eq(x, 0), Eq(y, 0)) + assert And(Eq(x - 1, 0), Eq(x, y)).simplify() == And(Eq(x, 1), Eq(y, 1)) + assert And(Ne(x - 1, 0), Ne(x, y)).simplify() == And(Ne(x, 1), Ne(x, y)) + assert And(Eq(x - 1, 0), Ne(x, y)).simplify() == And(Eq(x, 1), Ne(y, 1)) + assert And(Eq(x - 1, 0), Eq(x, z + y), Eq(y + x, 0)).simplify( + ) == And(Eq(x, 1), Eq(y, -1), Eq(z, 2)) + assert And(Eq(x - 1, 0), Eq(x + 2, 3)).simplify() == Eq(x, 1) + assert And(Ne(x - 1, 0), Ne(x + 2, 3)).simplify() == Ne(x, 1) + assert And(Eq(x - 1, 0), Eq(x + 2, 2)).simplify() == False + assert And(Ne(x - 1, 0), Ne(x + 2, 2)).simplify( + ) == And(Ne(x, 1), Ne(x, 0)) + assert simplify(Xor(x, ~x)) == True + + +def test_bool_map(): + """ + Test working of bool_map function. + """ + + minterms = [[0, 0, 0, 1], [0, 0, 1, 1], [0, 1, 1, 1], [1, 0, 1, 1], + [1, 1, 1, 1]] + assert bool_map(Not(Not(a)), a) == (a, {a: a}) + assert bool_map(SOPform([w, x, y, z], minterms), + POSform([w, x, y, z], minterms)) == \ + (And(Or(Not(w), y), Or(Not(x), y), z), {x: x, w: w, z: z, y: y}) + assert bool_map(SOPform([x, z, y], [[1, 0, 1]]), + SOPform([a, b, c], [[1, 0, 1]])) != False + function1 = SOPform([x, z, y], [[1, 0, 1], [0, 0, 1]]) + function2 = SOPform([a, b, c], [[1, 0, 1], [1, 0, 0]]) + assert bool_map(function1, function2) == \ + (function1, {y: a, z: b}) + assert bool_map(Xor(x, y), ~Xor(x, y)) == False + assert bool_map(And(x, y), Or(x, y)) is None + assert bool_map(And(x, y), And(x, y, z)) is None + # issue 16179 + assert bool_map(Xor(x, y, z), ~Xor(x, y, z)) == False + assert bool_map(Xor(a, x, y, z), ~Xor(a, x, y, z)) == False + + +def test_bool_symbol(): + """Test that mixing symbols with boolean values + works as expected""" + + assert And(A, True) == A + assert And(A, True, True) == A + assert And(A, False) is false + assert And(A, True, False) is false + assert Or(A, True) is true + assert Or(A, False) == A + + +def test_is_boolean(): + assert isinstance(True, Boolean) is False + assert isinstance(true, Boolean) is True + assert 1 == True + assert 1 != true + assert (1 == true) is False + assert 0 == False + assert 0 != false + assert (0 == false) is False + assert true.is_Boolean is True + assert (A & B).is_Boolean + assert (A | B).is_Boolean + assert (~A).is_Boolean + assert (A ^ B).is_Boolean + assert A.is_Boolean != isinstance(A, Boolean) + assert isinstance(A, Boolean) + + +def test_subs(): + assert (A & B).subs(A, True) == B + assert (A & B).subs(A, False) is false + assert (A & B).subs(B, True) == A + assert (A & B).subs(B, False) is false + assert (A & B).subs({A: True, B: True}) is true + assert (A | B).subs(A, True) is true + assert (A | B).subs(A, False) == B + assert (A | B).subs(B, True) is true + assert (A | B).subs(B, False) == A + assert (A | B).subs({A: True, B: True}) is true + + +""" +we test for axioms of boolean algebra +see https://en.wikipedia.org/wiki/Boolean_algebra_(structure) +""" + + +def test_commutative(): + """Test for commutativity of And and Or""" + A, B = map(Boolean, symbols('A,B')) + + assert A & B == B & A + assert A | B == B | A + + +def test_and_associativity(): + """Test for associativity of And""" + + assert (A & B) & C == A & (B & C) + + +def test_or_assicativity(): + assert ((A | B) | C) == (A | (B | C)) + + +def test_double_negation(): + a = Boolean() + assert ~(~a) == a + + +# test methods + +def test_eliminate_implications(): + assert eliminate_implications(Implies(A, B, evaluate=False)) == (~A) | B + assert eliminate_implications( + A >> (C >> Not(B))) == Or(Or(Not(B), Not(C)), Not(A)) + assert eliminate_implications(Equivalent(A, B, C, D)) == \ + (~A | B) & (~B | C) & (~C | D) & (~D | A) + + +def test_conjuncts(): + assert conjuncts(A & B & C) == {A, B, C} + assert conjuncts((A | B) & C) == {A | B, C} + assert conjuncts(A) == {A} + assert conjuncts(True) == {True} + assert conjuncts(False) == {False} + + +def test_disjuncts(): + assert disjuncts(A | B | C) == {A, B, C} + assert disjuncts((A | B) & C) == {(A | B) & C} + assert disjuncts(A) == {A} + assert disjuncts(True) == {True} + assert disjuncts(False) == {False} + + +def test_distribute(): + assert distribute_and_over_or(Or(And(A, B), C)) == And(Or(A, C), Or(B, C)) + assert distribute_or_over_and(And(A, Or(B, C))) == Or(And(A, B), And(A, C)) + assert distribute_xor_over_and(And(A, Xor(B, C))) == Xor(And(A, B), And(A, C)) + + +def test_to_anf(): + x, y, z = symbols('x,y,z') + assert to_anf(And(x, y)) == And(x, y) + assert to_anf(Or(x, y)) == Xor(x, y, And(x, y)) + assert to_anf(Or(Implies(x, y), And(x, y), y)) == \ + Xor(x, True, x & y, remove_true=False) + assert to_anf(Or(Nand(x, y), Nor(x, y), Xnor(x, y), Implies(x, y))) == True + assert to_anf(Or(x, Not(y), Nor(x, z), And(x, y), Nand(y, z))) == \ + Xor(True, And(y, z), And(x, y, z), remove_true=False) + assert to_anf(Xor(x, y)) == Xor(x, y) + assert to_anf(Not(x)) == Xor(x, True, remove_true=False) + assert to_anf(Nand(x, y)) == Xor(True, And(x, y), remove_true=False) + assert to_anf(Nor(x, y)) == Xor(x, y, True, And(x, y), remove_true=False) + assert to_anf(Implies(x, y)) == Xor(x, True, And(x, y), remove_true=False) + assert to_anf(Equivalent(x, y)) == Xor(x, y, True, remove_true=False) + assert to_anf(Nand(x | y, x >> y), deep=False) == \ + Xor(True, And(Or(x, y), Implies(x, y)), remove_true=False) + assert to_anf(Nor(x ^ y, x & y), deep=False) == \ + Xor(True, Or(Xor(x, y), And(x, y)), remove_true=False) + # issue 25218 + assert to_anf(x ^ ~(x ^ y ^ ~y)) == False + + +def test_to_nnf(): + assert to_nnf(true) is true + assert to_nnf(false) is false + assert to_nnf(A) == A + assert to_nnf(A | ~A | B) is true + assert to_nnf(A & ~A & B) is false + assert to_nnf(A >> B) == ~A | B + assert to_nnf(Equivalent(A, B, C)) == (~A | B) & (~B | C) & (~C | A) + assert to_nnf(A ^ B ^ C) == \ + (A | B | C) & (~A | ~B | C) & (A | ~B | ~C) & (~A | B | ~C) + assert to_nnf(ITE(A, B, C)) == (~A | B) & (A | C) + assert to_nnf(Not(A | B | C)) == ~A & ~B & ~C + assert to_nnf(Not(A & B & C)) == ~A | ~B | ~C + assert to_nnf(Not(A >> B)) == A & ~B + assert to_nnf(Not(Equivalent(A, B, C))) == And(Or(A, B, C), Or(~A, ~B, ~C)) + assert to_nnf(Not(A ^ B ^ C)) == \ + (~A | B | C) & (A | ~B | C) & (A | B | ~C) & (~A | ~B | ~C) + assert to_nnf(Not(ITE(A, B, C))) == (~A | ~B) & (A | ~C) + assert to_nnf((A >> B) ^ (B >> A)) == (A & ~B) | (~A & B) + assert to_nnf((A >> B) ^ (B >> A), False) == \ + (~A | ~B | A | B) & ((A & ~B) | (~A & B)) + assert ITE(A, 1, 0).to_nnf() == A + assert ITE(A, 0, 1).to_nnf() == ~A + # although ITE can hold non-Boolean, it will complain if + # an attempt is made to convert the ITE to Boolean nnf + raises(TypeError, lambda: ITE(A < 1, [1], B).to_nnf()) + + +def test_to_cnf(): + assert to_cnf(~(B | C)) == And(Not(B), Not(C)) + assert to_cnf((A & B) | C) == And(Or(A, C), Or(B, C)) + assert to_cnf(A >> B) == (~A) | B + assert to_cnf(A >> (B & C)) == (~A | B) & (~A | C) + assert to_cnf(A & (B | C) | ~A & (B | C), True) == B | C + assert to_cnf(A & B) == And(A, B) + + assert to_cnf(Equivalent(A, B)) == And(Or(A, Not(B)), Or(B, Not(A))) + assert to_cnf(Equivalent(A, B & C)) == \ + (~A | B) & (~A | C) & (~B | ~C | A) + assert to_cnf(Equivalent(A, B | C), True) == \ + And(Or(Not(B), A), Or(Not(C), A), Or(B, C, Not(A))) + assert to_cnf(A + 1) == A + 1 + + +def test_issue_18904(): + x1, x2, x3, x4, x5, x6, x7, x8, x9, x10, x11, x12, x13, x14, x15 = symbols('x1:16') + eq = ((x1 & x2 & x3 & x4 & x5 & x6 & x7 & x8 & x9) | + (x1 & x2 & x3 & x4 & x5 & x6 & x7 & x10 & x9) | + (x1 & x11 & x3 & x12 & x5 & x13 & x14 & x15 & x9)) + assert is_cnf(to_cnf(eq)) + raises(ValueError, lambda: to_cnf(eq, simplify=True)) + for f, t in zip((And, Or), (to_cnf, to_dnf)): + eq = f(x1, x2, x3, x4, x5, x6, x7, x8, x9) + raises(ValueError, lambda: to_cnf(eq, simplify=True)) + assert t(eq, simplify=True, force=True) == eq + + +def test_issue_9949(): + assert is_cnf(to_cnf((b > -5) | (a > 2) & (a < 4))) + + +def test_to_CNF(): + assert CNF.CNF_to_cnf(CNF.to_CNF(~(B | C))) == to_cnf(~(B | C)) + assert CNF.CNF_to_cnf(CNF.to_CNF((A & B) | C)) == to_cnf((A & B) | C) + assert CNF.CNF_to_cnf(CNF.to_CNF(A >> B)) == to_cnf(A >> B) + assert CNF.CNF_to_cnf(CNF.to_CNF(A >> (B & C))) == to_cnf(A >> (B & C)) + assert CNF.CNF_to_cnf(CNF.to_CNF(A & (B | C) | ~A & (B | C))) == to_cnf(A & (B | C) | ~A & (B | C)) + assert CNF.CNF_to_cnf(CNF.to_CNF(A & B)) == to_cnf(A & B) + + +def test_to_dnf(): + assert to_dnf(~(B | C)) == And(Not(B), Not(C)) + assert to_dnf(A & (B | C)) == Or(And(A, B), And(A, C)) + assert to_dnf(A >> B) == (~A) | B + assert to_dnf(A >> (B & C)) == (~A) | (B & C) + assert to_dnf(A | B) == A | B + + assert to_dnf(Equivalent(A, B), True) == \ + Or(And(A, B), And(Not(A), Not(B))) + assert to_dnf(Equivalent(A, B & C), True) == \ + Or(And(A, B, C), And(Not(A), Not(B)), And(Not(A), Not(C))) + assert to_dnf(A + 1) == A + 1 + + +def test_to_int_repr(): + x, y, z = map(Boolean, symbols('x,y,z')) + + def sorted_recursive(arg): + try: + return sorted(sorted_recursive(x) for x in arg) + except TypeError: # arg is not a sequence + return arg + + assert sorted_recursive(to_int_repr([x | y, z | x], [x, y, z])) == \ + sorted_recursive([[1, 2], [1, 3]]) + assert sorted_recursive(to_int_repr([x | y, z | ~x], [x, y, z])) == \ + sorted_recursive([[1, 2], [3, -1]]) + + +def test_is_anf(): + x, y = symbols('x,y') + assert is_anf(true) is True + assert is_anf(false) is True + assert is_anf(x) is True + assert is_anf(And(x, y)) is True + assert is_anf(Xor(x, y, And(x, y))) is True + assert is_anf(Xor(x, y, Or(x, y))) is False + assert is_anf(Xor(Not(x), y)) is False + + +def test_is_nnf(): + assert is_nnf(true) is True + assert is_nnf(A) is True + assert is_nnf(~A) is True + assert is_nnf(A & B) is True + assert is_nnf((A & B) | (~A & A) | (~B & B) | (~A & ~B), False) is True + assert is_nnf((A | B) & (~A | ~B)) is True + assert is_nnf(Not(Or(A, B))) is False + assert is_nnf(A ^ B) is False + assert is_nnf((A & B) | (~A & A) | (~B & B) | (~A & ~B), True) is False + + +def test_is_cnf(): + assert is_cnf(x) is True + assert is_cnf(x | y | z) is True + assert is_cnf(x & y & z) is True + assert is_cnf((x | y) & z) is True + assert is_cnf((x & y) | z) is False + assert is_cnf(~(x & y) | z) is False + + +def test_is_dnf(): + assert is_dnf(x) is True + assert is_dnf(x | y | z) is True + assert is_dnf(x & y & z) is True + assert is_dnf((x & y) | z) is True + assert is_dnf((x | y) & z) is False + assert is_dnf(~(x | y) & z) is False + + +def test_ITE(): + A, B, C = symbols('A:C') + assert ITE(True, False, True) is false + assert ITE(True, True, False) is true + assert ITE(False, True, False) is false + assert ITE(False, False, True) is true + assert isinstance(ITE(A, B, C), ITE) + + A = True + assert ITE(A, B, C) == B + A = False + assert ITE(A, B, C) == C + B = True + assert ITE(And(A, B), B, C) == C + assert ITE(Or(A, False), And(B, True), False) is false + assert ITE(x, A, B) == Not(x) + assert ITE(x, B, A) == x + assert ITE(1, x, y) == x + assert ITE(0, x, y) == y + raises(TypeError, lambda: ITE(2, x, y)) + raises(TypeError, lambda: ITE(1, [], y)) + raises(TypeError, lambda: ITE(1, (), y)) + raises(TypeError, lambda: ITE(1, y, [])) + assert ITE(1, 1, 1) is S.true + assert isinstance(ITE(1, 1, 1, evaluate=False), ITE) + + assert ITE(Eq(x, True), y, x) == ITE(x, y, x) + assert ITE(Eq(x, False), y, x) == ITE(~x, y, x) + assert ITE(Ne(x, True), y, x) == ITE(~x, y, x) + assert ITE(Ne(x, False), y, x) == ITE(x, y, x) + assert ITE(Eq(S.true, x), y, x) == ITE(x, y, x) + assert ITE(Eq(S.false, x), y, x) == ITE(~x, y, x) + assert ITE(Ne(S.true, x), y, x) == ITE(~x, y, x) + assert ITE(Ne(S.false, x), y, x) == ITE(x, y, x) + # 0 and 1 in the context are not treated as True/False + # so the equality must always be False since dissimilar + # objects cannot be equal + assert ITE(Eq(x, 0), y, x) == x + assert ITE(Eq(x, 1), y, x) == x + assert ITE(Ne(x, 0), y, x) == y + assert ITE(Ne(x, 1), y, x) == y + assert ITE(Eq(x, 0), y, z).subs(x, 0) == y + assert ITE(Eq(x, 0), y, z).subs(x, 1) == z + raises(ValueError, lambda: ITE(x > 1, y, x, z)) + + +def test_is_literal(): + assert is_literal(True) is True + assert is_literal(False) is True + assert is_literal(A) is True + assert is_literal(~A) is True + assert is_literal(Or(A, B)) is False + assert is_literal(Q.zero(A)) is True + assert is_literal(Not(Q.zero(A))) is True + assert is_literal(Or(A, B)) is False + assert is_literal(And(Q.zero(A), Q.zero(B))) is False + assert is_literal(x < 3) + assert not is_literal(x + y < 3) + + +def test_operators(): + # Mostly test __and__, __rand__, and so on + assert True & A == A & True == A + assert False & A == A & False == False + assert A & B == And(A, B) + assert True | A == A | True == True + assert False | A == A | False == A + assert A | B == Or(A, B) + assert ~A == Not(A) + assert True >> A == A << True == A + assert False >> A == A << False == True + assert A >> True == True << A == True + assert A >> False == False << A == ~A + assert A >> B == B << A == Implies(A, B) + assert True ^ A == A ^ True == ~A + assert False ^ A == A ^ False == A + assert A ^ B == Xor(A, B) + + +def test_true_false(): + assert true is S.true + assert false is S.false + assert true is not True + assert false is not False + assert true + assert not false + assert true == True + assert false == False + assert not (true == False) + assert not (false == True) + assert not (true == false) + + assert hash(true) == hash(True) + assert hash(false) == hash(False) + assert len({true, True}) == len({false, False}) == 1 + + assert isinstance(true, BooleanAtom) + assert isinstance(false, BooleanAtom) + # We don't want to subclass from bool, because bool subclasses from + # int. But operators like &, |, ^, <<, >>, and ~ act differently on 0 and + # 1 then we want them to on true and false. See the docstrings of the + # various And, Or, etc. functions for examples. + assert not isinstance(true, bool) + assert not isinstance(false, bool) + + # Note: using 'is' comparison is important here. We want these to return + # true and false, not True and False + + assert Not(true) is false + assert Not(True) is false + assert Not(false) is true + assert Not(False) is true + assert ~true is false + assert ~false is true + + for T, F in product((True, true), (False, false)): + assert And(T, F) is false + assert And(F, T) is false + assert And(F, F) is false + assert And(T, T) is true + assert And(T, x) == x + assert And(F, x) is false + if not (T is True and F is False): + assert T & F is false + assert F & T is false + if F is not False: + assert F & F is false + if T is not True: + assert T & T is true + + assert Or(T, F) is true + assert Or(F, T) is true + assert Or(F, F) is false + assert Or(T, T) is true + assert Or(T, x) is true + assert Or(F, x) == x + if not (T is True and F is False): + assert T | F is true + assert F | T is true + if F is not False: + assert F | F is false + if T is not True: + assert T | T is true + + assert Xor(T, F) is true + assert Xor(F, T) is true + assert Xor(F, F) is false + assert Xor(T, T) is false + assert Xor(T, x) == ~x + assert Xor(F, x) == x + if not (T is True and F is False): + assert T ^ F is true + assert F ^ T is true + if F is not False: + assert F ^ F is false + if T is not True: + assert T ^ T is false + + assert Nand(T, F) is true + assert Nand(F, T) is true + assert Nand(F, F) is true + assert Nand(T, T) is false + assert Nand(T, x) == ~x + assert Nand(F, x) is true + + assert Nor(T, F) is false + assert Nor(F, T) is false + assert Nor(F, F) is true + assert Nor(T, T) is false + assert Nor(T, x) is false + assert Nor(F, x) == ~x + + assert Implies(T, F) is false + assert Implies(F, T) is true + assert Implies(F, F) is true + assert Implies(T, T) is true + assert Implies(T, x) == x + assert Implies(F, x) is true + assert Implies(x, T) is true + assert Implies(x, F) == ~x + if not (T is True and F is False): + assert T >> F is false + assert F << T is false + assert F >> T is true + assert T << F is true + if F is not False: + assert F >> F is true + assert F << F is true + if T is not True: + assert T >> T is true + assert T << T is true + + assert Equivalent(T, F) is false + assert Equivalent(F, T) is false + assert Equivalent(F, F) is true + assert Equivalent(T, T) is true + assert Equivalent(T, x) == x + assert Equivalent(F, x) == ~x + assert Equivalent(x, T) == x + assert Equivalent(x, F) == ~x + + assert ITE(T, T, T) is true + assert ITE(T, T, F) is true + assert ITE(T, F, T) is false + assert ITE(T, F, F) is false + assert ITE(F, T, T) is true + assert ITE(F, T, F) is false + assert ITE(F, F, T) is true + assert ITE(F, F, F) is false + + assert all(i.simplify(1, 2) is i for i in (S.true, S.false)) + + +def test_bool_as_set(): + assert ITE(y <= 0, False, y >= 1).as_set() == Interval(1, oo) + assert And(x <= 2, x >= -2).as_set() == Interval(-2, 2) + assert Or(x >= 2, x <= -2).as_set() == Interval(-oo, -2) + Interval(2, oo) + assert Not(x > 2).as_set() == Interval(-oo, 2) + # issue 10240 + assert Not(And(x > 2, x < 3)).as_set() == \ + Union(Interval(-oo, 2), Interval(3, oo)) + assert true.as_set() == S.UniversalSet + assert false.as_set() is S.EmptySet + assert x.as_set() == S.UniversalSet + assert And(Or(x < 1, x > 3), x < 2).as_set() == Interval.open(-oo, 1) + assert And(x < 1, sin(x) < 3).as_set() == (x < 1).as_set() + raises(NotImplementedError, lambda: (sin(x) < 1).as_set()) + # watch for object morph in as_set + assert Eq(-1, cos(2 * x) ** 2 / sin(2 * x) ** 2).as_set() is S.EmptySet + + +@XFAIL +def test_multivariate_bool_as_set(): + x, y = symbols('x,y') + + assert And(x >= 0, y >= 0).as_set() == Interval(0, oo) * Interval(0, oo) + assert Or(x >= 0, y >= 0).as_set() == S.Reals * S.Reals - \ + Interval(-oo, 0, True, True) * Interval(-oo, 0, True, True) + + +def test_all_or_nothing(): + x = symbols('x', extended_real=True) + args = x >= -oo, x <= oo + v = And(*args) + if v.func is And: + assert len(v.args) == len(args) - args.count(S.true) + else: + assert v == True + v = Or(*args) + if v.func is Or: + assert len(v.args) == 2 + else: + assert v == True + + +def test_canonical_atoms(): + assert true.canonical == true + assert false.canonical == false + + +def test_negated_atoms(): + assert true.negated == false + assert false.negated == true + + +def test_issue_8777(): + assert And(x > 2, x < oo).as_set() == Interval(2, oo, left_open=True) + assert And(x >= 1, x < oo).as_set() == Interval(1, oo) + assert (x < oo).as_set() == Interval(-oo, oo) + assert (x > -oo).as_set() == Interval(-oo, oo) + + +def test_issue_8975(): + assert Or(And(-oo < x, x <= -2), And(2 <= x, x < oo)).as_set() == \ + Interval(-oo, -2) + Interval(2, oo) + + +def test_term_to_integer(): + assert term_to_integer([1, 0, 1, 0, 0, 1, 0]) == 82 + assert term_to_integer('0010101000111001') == 10809 + + +def test_issue_21971(): + a, b, c, d = symbols('a b c d') + f = a & b & c | a & c + assert f.subs(a & c, d) == b & d | d + assert f.subs(a & b & c, d) == a & c | d + + f = (a | b | c) & (a | c) + assert f.subs(a | c, d) == (b | d) & d + assert f.subs(a | b | c, d) == (a | c) & d + + f = (a ^ b ^ c) & (a ^ c) + assert f.subs(a ^ c, d) == (b ^ d) & d + assert f.subs(a ^ b ^ c, d) == (a ^ c) & d + + +def test_truth_table(): + assert list(truth_table(And(x, y), [x, y], input=False)) == \ + [False, False, False, True] + assert list(truth_table(x | y, [x, y], input=False)) == \ + [False, True, True, True] + assert list(truth_table(x >> y, [x, y], input=False)) == \ + [True, True, False, True] + assert list(truth_table(And(x, y), [x, y])) == \ + [([0, 0], False), ([0, 1], False), ([1, 0], False), ([1, 1], True)] + + +def test_issue_8571(): + for t in (S.true, S.false): + raises(TypeError, lambda: +t) + raises(TypeError, lambda: -t) + raises(TypeError, lambda: abs(t)) + # use int(bool(t)) to get 0 or 1 + raises(TypeError, lambda: int(t)) + + for o in [S.Zero, S.One, x]: + for _ in range(2): + raises(TypeError, lambda: o + t) + raises(TypeError, lambda: o - t) + raises(TypeError, lambda: o % t) + raises(TypeError, lambda: o * t) + raises(TypeError, lambda: o / t) + raises(TypeError, lambda: o ** t) + o, t = t, o # do again in reversed order + + +def test_expand_relational(): + n = symbols('n', negative=True) + p, q = symbols('p q', positive=True) + r = ((n + q * (-n / q + 1)) / (q * (-n / q + 1)) < 0) + assert r is not S.false + assert r.expand() is S.false + assert (q > 0).expand() is S.true + + +def test_issue_12717(): + assert S.true.is_Atom == True + assert S.false.is_Atom == True + + +def test_as_Boolean(): + nz = symbols('nz', nonzero=True) + assert all(as_Boolean(i) is S.true for i in (True, S.true, 1, nz)) + z = symbols('z', zero=True) + assert all(as_Boolean(i) is S.false for i in (False, S.false, 0, z)) + assert all(as_Boolean(i) == i for i in (x, x < 0)) + for i in (2, S(2), x + 1, []): + raises(TypeError, lambda: as_Boolean(i)) + + +def test_binary_symbols(): + assert ITE(x < 1, y, z).binary_symbols == {y, z} + for f in (Eq, Ne): + assert f(x, 1).binary_symbols == set() + assert f(x, True).binary_symbols == {x} + assert f(x, False).binary_symbols == {x} + assert S.true.binary_symbols == set() + assert S.false.binary_symbols == set() + assert x.binary_symbols == {x} + assert And(x, Eq(y, False), Eq(z, 1)).binary_symbols == {x, y} + assert Q.prime(x).binary_symbols == set() + assert Q.lt(x, 1).binary_symbols == set() + assert Q.is_true(x).binary_symbols == {x} + assert Q.eq(x, True).binary_symbols == {x} + assert Q.prime(x).binary_symbols == set() + + +def test_BooleanFunction_diff(): + assert And(x, y).diff(x) == Piecewise((0, Eq(y, False)), (1, True)) + + +def test_issue_14700(): + A, B, C, D, E, F, G, H = symbols('A B C D E F G H') + q = ((B & D & H & ~F) | (B & H & ~C & ~D) | (B & H & ~C & ~F) | + (B & H & ~D & ~G) | (B & H & ~F & ~G) | (C & G & ~B & ~D) | + (C & G & ~D & ~H) | (C & G & ~F & ~H) | (D & F & H & ~B) | + (D & F & ~G & ~H) | (B & D & F & ~C & ~H) | (D & E & F & ~B & ~C) | + (D & F & ~A & ~B & ~C) | (D & F & ~A & ~C & ~H) | + (A & B & D & F & ~E & ~H)) + soldnf = ((B & D & H & ~F) | (D & F & H & ~B) | (B & H & ~C & ~D) | + (B & H & ~D & ~G) | (C & G & ~B & ~D) | (C & G & ~D & ~H) | + (C & G & ~F & ~H) | (D & F & ~G & ~H) | (D & E & F & ~C & ~H) | + (D & F & ~A & ~C & ~H) | (A & B & D & F & ~E & ~H)) + solcnf = ((B | C | D) & (B | D | G) & (C | D | H) & (C | F | H) & + (D | G | H) & (F | G | H) & (B | F | ~D | ~H) & + (~B | ~D | ~F | ~H) & (D | ~B | ~C | ~G | ~H) & + (A | H | ~C | ~D | ~F | ~G) & (H | ~C | ~D | ~E | ~F | ~G) & + (B | E | H | ~A | ~D | ~F | ~G)) + assert simplify_logic(q, "dnf") == soldnf + assert simplify_logic(q, "cnf") == solcnf + + minterms = [[0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], + [0, 0, 1, 1], [1, 0, 1, 1]] + dontcares = [[1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1]] + assert SOPform([w, x, y, z], minterms) == (x & ~w) | (y & z & ~x) + # Should not be more complicated with don't cares + assert SOPform([w, x, y, z], minterms, dontcares) == \ + (x & ~w) | (y & z & ~x) + + +def test_issue_25115(): + cond = Contains(x, S.Integers) + # Previously this raised an exception: + assert simplify_logic(cond) == cond + + +def test_relational_simplification(): + w, x, y, z = symbols('w x y z', real=True) + d, e = symbols('d e', real=False) + # Test all combinations or sign and order + assert Or(x >= y, x < y).simplify() == S.true + assert Or(x >= y, y > x).simplify() == S.true + assert Or(x >= y, -x > -y).simplify() == S.true + assert Or(x >= y, -y < -x).simplify() == S.true + assert Or(-x <= -y, x < y).simplify() == S.true + assert Or(-x <= -y, -x > -y).simplify() == S.true + assert Or(-x <= -y, y > x).simplify() == S.true + assert Or(-x <= -y, -y < -x).simplify() == S.true + assert Or(y <= x, x < y).simplify() == S.true + assert Or(y <= x, y > x).simplify() == S.true + assert Or(y <= x, -x > -y).simplify() == S.true + assert Or(y <= x, -y < -x).simplify() == S.true + assert Or(-y >= -x, x < y).simplify() == S.true + assert Or(-y >= -x, y > x).simplify() == S.true + assert Or(-y >= -x, -x > -y).simplify() == S.true + assert Or(-y >= -x, -y < -x).simplify() == S.true + + assert Or(x < y, x >= y).simplify() == S.true + assert Or(y > x, x >= y).simplify() == S.true + assert Or(-x > -y, x >= y).simplify() == S.true + assert Or(-y < -x, x >= y).simplify() == S.true + assert Or(x < y, -x <= -y).simplify() == S.true + assert Or(-x > -y, -x <= -y).simplify() == S.true + assert Or(y > x, -x <= -y).simplify() == S.true + assert Or(-y < -x, -x <= -y).simplify() == S.true + assert Or(x < y, y <= x).simplify() == S.true + assert Or(y > x, y <= x).simplify() == S.true + assert Or(-x > -y, y <= x).simplify() == S.true + assert Or(-y < -x, y <= x).simplify() == S.true + assert Or(x < y, -y >= -x).simplify() == S.true + assert Or(y > x, -y >= -x).simplify() == S.true + assert Or(-x > -y, -y >= -x).simplify() == S.true + assert Or(-y < -x, -y >= -x).simplify() == S.true + + # Some other tests + assert Or(x >= y, w < z, x <= y).simplify() == S.true + assert And(x >= y, x < y).simplify() == S.false + assert Or(x >= y, Eq(y, x)).simplify() == (x >= y) + assert And(x >= y, Eq(y, x)).simplify() == Eq(x, y) + assert And(Eq(x, y), x >= 1, 2 < y, y >= 5, z < y).simplify() == \ + (Eq(x, y) & (x >= 1) & (y >= 5) & (y > z)) + assert Or(Eq(x, y), x >= y, w < y, z < y).simplify() == \ + (x >= y) | (y > z) | (w < y) + assert And(Eq(x, y), x >= y, w < y, y >= z, z < y).simplify() == \ + Eq(x, y) & (y > z) & (w < y) + # assert And(Eq(x, y), x >= y, w < y, y >= z, z < y).simplify(relational_minmax=True) == \ + # And(Eq(x, y), y > Max(w, z)) + # assert Or(Eq(x, y), x >= 1, 2 < y, y >= 5, z < y).simplify(relational_minmax=True) == \ + # (Eq(x, y) | (x >= 1) | (y > Min(2, z))) + assert And(Eq(x, y), x >= 1, 2 < y, y >= 5, z < y).simplify() == \ + (Eq(x, y) & (x >= 1) & (y >= 5) & (y > z)) + assert (Eq(x, y) & Eq(d, e) & (x >= y) & (d >= e)).simplify() == \ + (Eq(x, y) & Eq(d, e) & (d >= e)) + assert And(Eq(x, y), Eq(x, -y)).simplify() == And(Eq(x, 0), Eq(y, 0)) + assert Xor(x >= y, x <= y).simplify() == Ne(x, y) + assert And(x > 1, x < -1, Eq(x, y)).simplify() == S.false + # From #16690 + assert And(x >= y, Eq(y, 0)).simplify() == And(x >= 0, Eq(y, 0)) + assert Or(Ne(x, 1), Ne(x, 2)).simplify() == S.true + assert And(Eq(x, 1), Ne(2, x)).simplify() == Eq(x, 1) + assert Or(Eq(x, 1), Ne(2, x)).simplify() == Ne(x, 2) + + +def test_issue_8373(): + x = symbols('x', real=True) + assert Or(x < 1, x > -1).simplify() == S.true + assert Or(x < 1, x >= 1).simplify() == S.true + assert And(x < 1, x >= 1).simplify() == S.false + assert Or(x <= 1, x >= 1).simplify() == S.true + + +def test_issue_7950(): + x = symbols('x', real=True) + assert And(Eq(x, 1), Eq(x, 2)).simplify() == S.false + + +@slow +def test_relational_simplification_numerically(): + def test_simplification_numerically_function(original, simplified): + symb = original.free_symbols + n = len(symb) + valuelist = list(set(combinations(list(range(-(n - 1), n)) * n, n))) + for values in valuelist: + sublist = dict(zip(symb, values)) + originalvalue = original.subs(sublist) + simplifiedvalue = simplified.subs(sublist) + assert originalvalue == simplifiedvalue, "Original: {}\nand" \ + " simplified: {}\ndo not evaluate to the same value for {}" \ + "".format(original, simplified, sublist) + + w, x, y, z = symbols('w x y z', real=True) + d, e = symbols('d e', real=False) + + expressions = (And(Eq(x, y), x >= y, w < y, y >= z, z < y), + And(Eq(x, y), x >= 1, 2 < y, y >= 5, z < y), + Or(Eq(x, y), x >= 1, 2 < y, y >= 5, z < y), + And(x >= y, Eq(y, x)), + Or(And(Eq(x, y), x >= y, w < y, Or(y >= z, z < y)), + And(Eq(x, y), x >= 1, 2 < y, y >= -1, z < y)), + (Eq(x, y) & Eq(d, e) & (x >= y) & (d >= e)), + ) + + for expression in expressions: + test_simplification_numerically_function(expression, + expression.simplify()) + + +def test_relational_simplification_patterns_numerically(): + from sympy.core import Wild + from sympy.logic.boolalg import _simplify_patterns_and, \ + _simplify_patterns_or, _simplify_patterns_xor + a = Wild('a') + b = Wild('b') + c = Wild('c') + symb = [a, b, c] + patternlists = [[And, _simplify_patterns_and()], + [Or, _simplify_patterns_or()], + [Xor, _simplify_patterns_xor()]] + valuelist = list(set(combinations(list(range(-2, 3)) * 3, 3))) + # Skip combinations of +/-2 and 0, except for all 0 + valuelist = [v for v in valuelist if any(w % 2 for w in v) or not any(v)] + for func, patternlist in patternlists: + for pattern in patternlist: + original = func(*pattern[0].args) + simplified = pattern[1] + for values in valuelist: + sublist = dict(zip(symb, values)) + originalvalue = original.xreplace(sublist) + simplifiedvalue = simplified.xreplace(sublist) + assert originalvalue == simplifiedvalue, "Original: {}\nand" \ + " simplified: {}\ndo not evaluate to the same value for" \ + "{}".format(pattern[0], simplified, sublist) + + +def test_issue_16803(): + n = symbols('n') + # No simplification done, but should not raise an exception + assert ((n > 3) | (n < 0) | ((n > 0) & (n < 3))).simplify() == \ + (n > 3) | (n < 0) | ((n > 0) & (n < 3)) + + +def test_issue_17530(): + r = {x: oo, y: oo} + assert Or(x + y > 0, x - y < 0).subs(r) + assert not And(x + y < 0, x - y < 0).subs(r) + raises(TypeError, lambda: Or(x + y < 0, x - y < 0).subs(r)) + raises(TypeError, lambda: And(x + y > 0, x - y < 0).subs(r)) + raises(TypeError, lambda: And(x + y > 0, x - y < 0).subs(r)) + + +def test_anf_coeffs(): + assert anf_coeffs([1, 0]) == [1, 1] + assert anf_coeffs([0, 0, 0, 1]) == [0, 0, 0, 1] + assert anf_coeffs([0, 1, 1, 1]) == [0, 1, 1, 1] + assert anf_coeffs([1, 1, 1, 0]) == [1, 0, 0, 1] + assert anf_coeffs([1, 0, 0, 0]) == [1, 1, 1, 1] + assert anf_coeffs([1, 0, 0, 1]) == [1, 1, 1, 0] + assert anf_coeffs([1, 1, 0, 1]) == [1, 0, 1, 1] + + +def test_ANFform(): + x, y = symbols('x,y') + assert ANFform([x], [1, 1]) == True + assert ANFform([x], [0, 0]) == False + assert ANFform([x], [1, 0]) == Xor(x, True, remove_true=False) + assert ANFform([x, y], [1, 1, 1, 0]) == \ + Xor(True, And(x, y), remove_true=False) + + +def test_bool_minterm(): + x, y = symbols('x,y') + assert bool_minterm(3, [x, y]) == And(x, y) + assert bool_minterm([1, 0], [x, y]) == And(Not(y), x) + + +def test_bool_maxterm(): + x, y = symbols('x,y') + assert bool_maxterm(2, [x, y]) == Or(Not(x), y) + assert bool_maxterm([0, 1], [x, y]) == Or(Not(y), x) + + +def test_bool_monomial(): + x, y = symbols('x,y') + assert bool_monomial(1, [x, y]) == y + assert bool_monomial([1, 1], [x, y]) == And(x, y) + + +def test_check_pair(): + assert _check_pair([0, 1, 0], [0, 1, 1]) == 2 + assert _check_pair([0, 1, 0], [1, 1, 1]) == -1 + + +def test_issue_19114(): + expr = (B & C) | (A & ~C) | (~A & ~B) + # Expression is minimal, but there are multiple minimal forms possible + res1 = (A & B) | (C & ~A) | (~B & ~C) + result = to_dnf(expr, simplify=True) + assert result in (expr, res1) + + +def test_issue_20870(): + result = SOPform([a, b, c, d], [1, 2, 3, 4, 5, 6, 8, 9, 11, 12, 14, 15]) + expected = ((d & ~b) | (a & b & c) | (a & ~c & ~d) | + (b & ~a & ~c) | (c & ~a & ~d)) + assert result == expected + + +def test_convert_to_varsSOP(): + assert _convert_to_varsSOP([0, 1, 0], [x, y, z]) == And(Not(x), y, Not(z)) + assert _convert_to_varsSOP([3, 1, 0], [x, y, z]) == And(y, Not(z)) + + +def test_convert_to_varsPOS(): + assert _convert_to_varsPOS([0, 1, 0], [x, y, z]) == Or(x, Not(y), z) + assert _convert_to_varsPOS([3, 1, 0], [x, y, z]) == Or(Not(y), z) + + +def test_gateinputcount(): + a, b, c, d, e = symbols('a:e') + assert gateinputcount(And(a, b)) == 2 + assert gateinputcount(a | b & c & d ^ (e | a)) == 9 + assert gateinputcount(And(a, True)) == 0 + raises(TypeError, lambda: gateinputcount(a * b)) + + +def test_refine(): + # relational + assert not refine(x < 0, ~(x < 0)) + assert refine(x < 0, (x < 0)) + assert refine(x < 0, (0 > x)) is S.true + assert refine(x < 0, (y < 0)) == (x < 0) + assert not refine(x <= 0, ~(x <= 0)) + assert refine(x <= 0, (x <= 0)) + assert refine(x <= 0, (0 >= x)) is S.true + assert refine(x <= 0, (y <= 0)) == (x <= 0) + assert not refine(x > 0, ~(x > 0)) + assert refine(x > 0, (x > 0)) + assert refine(x > 0, (0 < x)) is S.true + assert refine(x > 0, (y > 0)) == (x > 0) + assert not refine(x >= 0, ~(x >= 0)) + assert refine(x >= 0, (x >= 0)) + assert refine(x >= 0, (0 <= x)) is S.true + assert refine(x >= 0, (y >= 0)) == (x >= 0) + assert not refine(Eq(x, 0), ~(Eq(x, 0))) + assert refine(Eq(x, 0), (Eq(x, 0))) + assert refine(Eq(x, 0), (Eq(0, x))) is S.true + assert refine(Eq(x, 0), (Eq(y, 0))) == Eq(x, 0) + assert not refine(Ne(x, 0), ~(Ne(x, 0))) + assert refine(Ne(x, 0), (Ne(0, x))) is S.true + assert refine(Ne(x, 0), (Ne(x, 0))) + assert refine(Ne(x, 0), (Ne(y, 0))) == (Ne(x, 0)) + + # boolean functions + assert refine(And(x > 0, y > 0), (x > 0)) == (y > 0) + assert refine(And(x > 0, y > 0), (x > 0) & (y > 0)) is S.true + + # predicates + assert refine(Q.positive(x), Q.positive(x)) is S.true + assert refine(Q.positive(x), Q.negative(x)) is S.false + assert refine(Q.positive(x), Q.real(x)) == Q.positive(x) + + +def test_relational_threeterm_simplification_patterns_numerically(): + from sympy.core import Wild + from sympy.logic.boolalg import _simplify_patterns_and3 + a = Wild('a') + b = Wild('b') + c = Wild('c') + symb = [a, b, c] + patternlists = [[And, _simplify_patterns_and3()]] + valuelist = list(set(combinations(list(range(-2, 3)) * 3, 3))) + # Skip combinations of +/-2 and 0, except for all 0 + valuelist = [v for v in valuelist if any(w % 2 for w in v) or not any(v)] + for func, patternlist in patternlists: + for pattern in patternlist: + original = func(*pattern[0].args) + simplified = pattern[1] + for values in valuelist: + sublist = dict(zip(symb, values)) + originalvalue = original.xreplace(sublist) + simplifiedvalue = simplified.xreplace(sublist) + assert originalvalue == simplifiedvalue, "Original: {}\nand" \ + " simplified: {}\ndo not evaluate to the same value for" \ + "{}".format(pattern[0], simplified, sublist) + + +def test_issue_25451(): + x = Or(And(a, c), Eq(a, b)) + assert isinstance(x, Or) + assert set(x.args) == {And(a, c), Eq(a, b)} + + +def test_issue_26985(): + a, b, c, d = symbols('a b c d') + + # Expression before applying to_anf + x = Xor(c, And(a, b), And(a, c)) + y = Xor(a, b, And(a, c)) + + # Applying to_anf + result = Xor(Xor(d, And(x, y)), And(x, y)) + result_anf = to_anf(Xor(to_anf(Xor(d, And(x, y))), And(x, y))) + + assert result_anf == d + assert result == d diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/logic/tests/test_dimacs.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/logic/tests/test_dimacs.py new file mode 100644 index 0000000000000000000000000000000000000000..3a9a51a39d33fb807688614cb5809b621ce21a2c --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/logic/tests/test_dimacs.py @@ -0,0 +1,234 @@ +"""Various tests on satisfiability using dimacs cnf file syntax +You can find lots of cnf files in +ftp://dimacs.rutgers.edu/pub/challenge/satisfiability/benchmarks/cnf/ +""" + +from sympy.logic.utilities.dimacs import load +from sympy.logic.algorithms.dpll import dpll_satisfiable + + +def test_f1(): + assert bool(dpll_satisfiable(load(f1))) + + +def test_f2(): + assert bool(dpll_satisfiable(load(f2))) + + +def test_f3(): + assert bool(dpll_satisfiable(load(f3))) + + +def test_f4(): + assert not bool(dpll_satisfiable(load(f4))) + + +def test_f5(): + assert bool(dpll_satisfiable(load(f5))) + +f1 = """c simple example +c Resolution: SATISFIABLE +c +p cnf 3 2 +1 -3 0 +2 3 -1 0 +""" + + +f2 = """c an example from Quinn's text, 16 variables and 18 clauses. +c Resolution: SATISFIABLE +c +p cnf 16 18 + 1 2 0 + -2 -4 0 + 3 4 0 + -4 -5 0 + 5 -6 0 + 6 -7 0 + 6 7 0 + 7 -16 0 + 8 -9 0 + -8 -14 0 + 9 10 0 + 9 -10 0 +-10 -11 0 + 10 12 0 + 11 12 0 + 13 14 0 + 14 -15 0 + 15 16 0 +""" + +f3 = """c +p cnf 6 9 +-1 0 +-3 0 +2 -1 0 +2 -4 0 +5 -4 0 +-1 -3 0 +-4 -6 0 +1 3 -2 0 +4 6 -2 -5 0 +""" + +f4 = """c +c file: hole6.cnf [http://people.sc.fsu.edu/~jburkardt/data/cnf/hole6.cnf] +c +c SOURCE: John Hooker (jh38+@andrew.cmu.edu) +c +c DESCRIPTION: Pigeon hole problem of placing n (for file 'holen.cnf') pigeons +c in n+1 holes without placing 2 pigeons in the same hole +c +c NOTE: Part of the collection at the Forschungsinstitut fuer +c anwendungsorientierte Wissensverarbeitung in Ulm Germany. +c +c NOTE: Not satisfiable +c +p cnf 42 133 +-1 -7 0 +-1 -13 0 +-1 -19 0 +-1 -25 0 +-1 -31 0 +-1 -37 0 +-7 -13 0 +-7 -19 0 +-7 -25 0 +-7 -31 0 +-7 -37 0 +-13 -19 0 +-13 -25 0 +-13 -31 0 +-13 -37 0 +-19 -25 0 +-19 -31 0 +-19 -37 0 +-25 -31 0 +-25 -37 0 +-31 -37 0 +-2 -8 0 +-2 -14 0 +-2 -20 0 +-2 -26 0 +-2 -32 0 +-2 -38 0 +-8 -14 0 +-8 -20 0 +-8 -26 0 +-8 -32 0 +-8 -38 0 +-14 -20 0 +-14 -26 0 +-14 -32 0 +-14 -38 0 +-20 -26 0 +-20 -32 0 +-20 -38 0 +-26 -32 0 +-26 -38 0 +-32 -38 0 +-3 -9 0 +-3 -15 0 +-3 -21 0 +-3 -27 0 +-3 -33 0 +-3 -39 0 +-9 -15 0 +-9 -21 0 +-9 -27 0 +-9 -33 0 +-9 -39 0 +-15 -21 0 +-15 -27 0 +-15 -33 0 +-15 -39 0 +-21 -27 0 +-21 -33 0 +-21 -39 0 +-27 -33 0 +-27 -39 0 +-33 -39 0 +-4 -10 0 +-4 -16 0 +-4 -22 0 +-4 -28 0 +-4 -34 0 +-4 -40 0 +-10 -16 0 +-10 -22 0 +-10 -28 0 +-10 -34 0 +-10 -40 0 +-16 -22 0 +-16 -28 0 +-16 -34 0 +-16 -40 0 +-22 -28 0 +-22 -34 0 +-22 -40 0 +-28 -34 0 +-28 -40 0 +-34 -40 0 +-5 -11 0 +-5 -17 0 +-5 -23 0 +-5 -29 0 +-5 -35 0 +-5 -41 0 +-11 -17 0 +-11 -23 0 +-11 -29 0 +-11 -35 0 +-11 -41 0 +-17 -23 0 +-17 -29 0 +-17 -35 0 +-17 -41 0 +-23 -29 0 +-23 -35 0 +-23 -41 0 +-29 -35 0 +-29 -41 0 +-35 -41 0 +-6 -12 0 +-6 -18 0 +-6 -24 0 +-6 -30 0 +-6 -36 0 +-6 -42 0 +-12 -18 0 +-12 -24 0 +-12 -30 0 +-12 -36 0 +-12 -42 0 +-18 -24 0 +-18 -30 0 +-18 -36 0 +-18 -42 0 +-24 -30 0 +-24 -36 0 +-24 -42 0 +-30 -36 0 +-30 -42 0 +-36 -42 0 + 6 5 4 3 2 1 0 + 12 11 10 9 8 7 0 + 18 17 16 15 14 13 0 + 24 23 22 21 20 19 0 + 30 29 28 27 26 25 0 + 36 35 34 33 32 31 0 + 42 41 40 39 38 37 0 +""" + +f5 = """c simple example requiring variable selection +c +c NOTE: Satisfiable +c +p cnf 5 5 +1 2 3 0 +1 -2 3 0 +4 5 -3 0 +1 -4 -3 0 +-1 -5 0 +""" diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/logic/tests/test_inference.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/logic/tests/test_inference.py new file mode 100644 index 0000000000000000000000000000000000000000..ff37b1b104f6f106ec5df7809fd34959bce35917 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/logic/tests/test_inference.py @@ -0,0 +1,396 @@ +"""For more tests on satisfiability, see test_dimacs""" + +from sympy.assumptions.ask import Q +from sympy.core.symbol import symbols +from sympy.core.relational import Unequality +from sympy.logic.boolalg import And, Or, Implies, Equivalent, true, false +from sympy.logic.inference import literal_symbol, \ + pl_true, satisfiable, valid, entails, PropKB +from sympy.logic.algorithms.dpll import dpll, dpll_satisfiable, \ + find_pure_symbol, find_unit_clause, unit_propagate, \ + find_pure_symbol_int_repr, find_unit_clause_int_repr, \ + unit_propagate_int_repr +from sympy.logic.algorithms.dpll2 import dpll_satisfiable as dpll2_satisfiable + +from sympy.logic.algorithms.z3_wrapper import z3_satisfiable +from sympy.assumptions.cnf import CNF, EncodedCNF +from sympy.logic.tests.test_lra_theory import make_random_problem +from sympy.core.random import randint + +from sympy.testing.pytest import raises, skip +from sympy.external import import_module + + +def test_literal(): + A, B = symbols('A,B') + assert literal_symbol(True) is True + assert literal_symbol(False) is False + assert literal_symbol(A) is A + assert literal_symbol(~A) is A + + +def test_find_pure_symbol(): + A, B, C = symbols('A,B,C') + assert find_pure_symbol([A], [A]) == (A, True) + assert find_pure_symbol([A, B], [~A | B, ~B | A]) == (None, None) + assert find_pure_symbol([A, B, C], [ A | ~B, ~B | ~C, C | A]) == (A, True) + assert find_pure_symbol([A, B, C], [~A | B, B | ~C, C | A]) == (B, True) + assert find_pure_symbol([A, B, C], [~A | ~B, ~B | ~C, C | A]) == (B, False) + assert find_pure_symbol( + [A, B, C], [~A | B, ~B | ~C, C | A]) == (None, None) + + +def test_find_pure_symbol_int_repr(): + assert find_pure_symbol_int_repr([1], [{1}]) == (1, True) + assert find_pure_symbol_int_repr([1, 2], + [{-1, 2}, {-2, 1}]) == (None, None) + assert find_pure_symbol_int_repr([1, 2, 3], + [{1, -2}, {-2, -3}, {3, 1}]) == (1, True) + assert find_pure_symbol_int_repr([1, 2, 3], + [{-1, 2}, {2, -3}, {3, 1}]) == (2, True) + assert find_pure_symbol_int_repr([1, 2, 3], + [{-1, -2}, {-2, -3}, {3, 1}]) == (2, False) + assert find_pure_symbol_int_repr([1, 2, 3], + [{-1, 2}, {-2, -3}, {3, 1}]) == (None, None) + + +def test_unit_clause(): + A, B, C = symbols('A,B,C') + assert find_unit_clause([A], {}) == (A, True) + assert find_unit_clause([A, ~A], {}) == (A, True) # Wrong ?? + assert find_unit_clause([A | B], {A: True}) == (B, True) + assert find_unit_clause([A | B], {B: True}) == (A, True) + assert find_unit_clause( + [A | B | C, B | ~C, A | ~B], {A: True}) == (B, False) + assert find_unit_clause([A | B | C, B | ~C, A | B], {A: True}) == (B, True) + assert find_unit_clause([A | B | C, B | ~C, A ], {}) == (A, True) + + +def test_unit_clause_int_repr(): + assert find_unit_clause_int_repr(map(set, [[1]]), {}) == (1, True) + assert find_unit_clause_int_repr(map(set, [[1], [-1]]), {}) == (1, True) + assert find_unit_clause_int_repr([{1, 2}], {1: True}) == (2, True) + assert find_unit_clause_int_repr([{1, 2}], {2: True}) == (1, True) + assert find_unit_clause_int_repr(map(set, + [[1, 2, 3], [2, -3], [1, -2]]), {1: True}) == (2, False) + assert find_unit_clause_int_repr(map(set, + [[1, 2, 3], [3, -3], [1, 2]]), {1: True}) == (2, True) + + A, B, C = symbols('A,B,C') + assert find_unit_clause([A | B | C, B | ~C, A ], {}) == (A, True) + + +def test_unit_propagate(): + A, B, C = symbols('A,B,C') + assert unit_propagate([A | B], A) == [] + assert unit_propagate([A | B, ~A | C, ~C | B, A], A) == [C, ~C | B, A] + + +def test_unit_propagate_int_repr(): + assert unit_propagate_int_repr([{1, 2}], 1) == [] + assert unit_propagate_int_repr(map(set, + [[1, 2], [-1, 3], [-3, 2], [1]]), 1) == [{3}, {-3, 2}] + + +def test_dpll(): + """This is also tested in test_dimacs""" + A, B, C = symbols('A,B,C') + assert dpll([A | B], [A, B], {A: True, B: True}) == {A: True, B: True} + + +def test_dpll_satisfiable(): + A, B, C = symbols('A,B,C') + assert dpll_satisfiable( A & ~A ) is False + assert dpll_satisfiable( A & ~B ) == {A: True, B: False} + assert dpll_satisfiable( + A | B ) in ({A: True}, {B: True}, {A: True, B: True}) + assert dpll_satisfiable( + (~A | B) & (~B | A) ) in ({A: True, B: True}, {A: False, B: False}) + assert dpll_satisfiable( (A | B) & (~B | C) ) in ({A: True, B: False}, + {A: True, C: True}, {B: True, C: True}) + assert dpll_satisfiable( A & B & C ) == {A: True, B: True, C: True} + assert dpll_satisfiable( (A | B) & (A >> B) ) == {B: True} + assert dpll_satisfiable( Equivalent(A, B) & A ) == {A: True, B: True} + assert dpll_satisfiable( Equivalent(A, B) & ~A ) == {A: False, B: False} + + +def test_dpll2_satisfiable(): + A, B, C = symbols('A,B,C') + assert dpll2_satisfiable( A & ~A ) is False + assert dpll2_satisfiable( A & ~B ) == {A: True, B: False} + assert dpll2_satisfiable( + A | B ) in ({A: True}, {B: True}, {A: True, B: True}) + assert dpll2_satisfiable( + (~A | B) & (~B | A) ) in ({A: True, B: True}, {A: False, B: False}) + assert dpll2_satisfiable( (A | B) & (~B | C) ) in ({A: True, B: False, C: True}, + {A: True, B: True, C: True}) + assert dpll2_satisfiable( A & B & C ) == {A: True, B: True, C: True} + assert dpll2_satisfiable( (A | B) & (A >> B) ) in ({B: True, A: False}, + {B: True, A: True}) + assert dpll2_satisfiable( Equivalent(A, B) & A ) == {A: True, B: True} + assert dpll2_satisfiable( Equivalent(A, B) & ~A ) == {A: False, B: False} + + +def test_minisat22_satisfiable(): + A, B, C = symbols('A,B,C') + minisat22_satisfiable = lambda expr: satisfiable(expr, algorithm="minisat22") + assert minisat22_satisfiable( A & ~A ) is False + assert minisat22_satisfiable( A & ~B ) == {A: True, B: False} + assert minisat22_satisfiable( + A | B ) in ({A: True}, {B: False}, {A: False, B: True}, {A: True, B: True}, {A: True, B: False}) + assert minisat22_satisfiable( + (~A | B) & (~B | A) ) in ({A: True, B: True}, {A: False, B: False}) + assert minisat22_satisfiable( (A | B) & (~B | C) ) in ({A: True, B: False, C: True}, + {A: True, B: True, C: True}, {A: False, B: True, C: True}, {A: True, B: False, C: False}) + assert minisat22_satisfiable( A & B & C ) == {A: True, B: True, C: True} + assert minisat22_satisfiable( (A | B) & (A >> B) ) in ({B: True, A: False}, + {B: True, A: True}) + assert minisat22_satisfiable( Equivalent(A, B) & A ) == {A: True, B: True} + assert minisat22_satisfiable( Equivalent(A, B) & ~A ) == {A: False, B: False} + +def test_minisat22_minimal_satisfiable(): + A, B, C = symbols('A,B,C') + minisat22_satisfiable = lambda expr, minimal=True: satisfiable(expr, algorithm="minisat22", minimal=True) + assert minisat22_satisfiable( A & ~A ) is False + assert minisat22_satisfiable( A & ~B ) == {A: True, B: False} + assert minisat22_satisfiable( + A | B ) in ({A: True}, {B: False}, {A: False, B: True}, {A: True, B: True}, {A: True, B: False}) + assert minisat22_satisfiable( + (~A | B) & (~B | A) ) in ({A: True, B: True}, {A: False, B: False}) + assert minisat22_satisfiable( (A | B) & (~B | C) ) in ({A: True, B: False, C: True}, + {A: True, B: True, C: True}, {A: False, B: True, C: True}, {A: True, B: False, C: False}) + assert minisat22_satisfiable( A & B & C ) == {A: True, B: True, C: True} + assert minisat22_satisfiable( (A | B) & (A >> B) ) in ({B: True, A: False}, + {B: True, A: True}) + assert minisat22_satisfiable( Equivalent(A, B) & A ) == {A: True, B: True} + assert minisat22_satisfiable( Equivalent(A, B) & ~A ) == {A: False, B: False} + g = satisfiable((A | B | C),algorithm="minisat22",minimal=True,all_models=True) + sol = next(g) + first_solution = {key for key, value in sol.items() if value} + sol=next(g) + second_solution = {key for key, value in sol.items() if value} + sol=next(g) + third_solution = {key for key, value in sol.items() if value} + assert not first_solution <= second_solution + assert not second_solution <= third_solution + assert not first_solution <= third_solution + +def test_satisfiable(): + A, B, C = symbols('A,B,C') + assert satisfiable(A & (A >> B) & ~B) is False + + +def test_valid(): + A, B, C = symbols('A,B,C') + assert valid(A >> (B >> A)) is True + assert valid((A >> (B >> C)) >> ((A >> B) >> (A >> C))) is True + assert valid((~B >> ~A) >> (A >> B)) is True + assert valid(A | B | C) is False + assert valid(A >> B) is False + + +def test_pl_true(): + A, B, C = symbols('A,B,C') + assert pl_true(True) is True + assert pl_true( A & B, {A: True, B: True}) is True + assert pl_true( A | B, {A: True}) is True + assert pl_true( A | B, {B: True}) is True + assert pl_true( A | B, {A: None, B: True}) is True + assert pl_true( A >> B, {A: False}) is True + assert pl_true( A | B | ~C, {A: False, B: True, C: True}) is True + assert pl_true(Equivalent(A, B), {A: False, B: False}) is True + + # test for false + assert pl_true(False) is False + assert pl_true( A & B, {A: False, B: False}) is False + assert pl_true( A & B, {A: False}) is False + assert pl_true( A & B, {B: False}) is False + assert pl_true( A | B, {A: False, B: False}) is False + + #test for None + assert pl_true(B, {B: None}) is None + assert pl_true( A & B, {A: True, B: None}) is None + assert pl_true( A >> B, {A: True, B: None}) is None + assert pl_true(Equivalent(A, B), {A: None}) is None + assert pl_true(Equivalent(A, B), {A: True, B: None}) is None + + # Test for deep + assert pl_true(A | B, {A: False}, deep=True) is None + assert pl_true(~A & ~B, {A: False}, deep=True) is None + assert pl_true(A | B, {A: False, B: False}, deep=True) is False + assert pl_true(A & B & (~A | ~B), {A: True}, deep=True) is False + assert pl_true((C >> A) >> (B >> A), {C: True}, deep=True) is True + + +def test_pl_true_wrong_input(): + from sympy.core.numbers import pi + raises(ValueError, lambda: pl_true('John Cleese')) + raises(ValueError, lambda: pl_true(42 + pi + pi ** 2)) + raises(ValueError, lambda: pl_true(42)) + + +def test_entails(): + A, B, C = symbols('A, B, C') + assert entails(A, [A >> B, ~B]) is False + assert entails(B, [Equivalent(A, B), A]) is True + assert entails((A >> B) >> (~A >> ~B)) is False + assert entails((A >> B) >> (~B >> ~A)) is True + + +def test_PropKB(): + A, B, C = symbols('A,B,C') + kb = PropKB() + assert kb.ask(A >> B) is False + assert kb.ask(A >> (B >> A)) is True + kb.tell(A >> B) + kb.tell(B >> C) + assert kb.ask(A) is False + assert kb.ask(B) is False + assert kb.ask(C) is False + assert kb.ask(~A) is False + assert kb.ask(~B) is False + assert kb.ask(~C) is False + assert kb.ask(A >> C) is True + kb.tell(A) + assert kb.ask(A) is True + assert kb.ask(B) is True + assert kb.ask(C) is True + assert kb.ask(~C) is False + kb.retract(A) + assert kb.ask(C) is False + + +def test_propKB_tolerant(): + """"tolerant to bad input""" + kb = PropKB() + A, B, C = symbols('A,B,C') + assert kb.ask(B) is False + +def test_satisfiable_non_symbols(): + x, y = symbols('x y') + assumptions = Q.zero(x*y) + facts = Implies(Q.zero(x*y), Q.zero(x) | Q.zero(y)) + query = ~Q.zero(x) & ~Q.zero(y) + refutations = [ + {Q.zero(x): True, Q.zero(x*y): True}, + {Q.zero(y): True, Q.zero(x*y): True}, + {Q.zero(x): True, Q.zero(y): True, Q.zero(x*y): True}, + {Q.zero(x): True, Q.zero(y): False, Q.zero(x*y): True}, + {Q.zero(x): False, Q.zero(y): True, Q.zero(x*y): True}] + assert not satisfiable(And(assumptions, facts, query), algorithm='dpll') + assert satisfiable(And(assumptions, facts, ~query), algorithm='dpll') in refutations + assert not satisfiable(And(assumptions, facts, query), algorithm='dpll2') + assert satisfiable(And(assumptions, facts, ~query), algorithm='dpll2') in refutations + +def test_satisfiable_bool(): + from sympy.core.singleton import S + assert satisfiable(true) == {true: true} + assert satisfiable(S.true) == {true: true} + assert satisfiable(false) is False + assert satisfiable(S.false) is False + + +def test_satisfiable_all_models(): + from sympy.abc import A, B + assert next(satisfiable(False, all_models=True)) is False + assert list(satisfiable((A >> ~A) & A, all_models=True)) == [False] + assert list(satisfiable(True, all_models=True)) == [{true: true}] + + models = [{A: True, B: False}, {A: False, B: True}] + result = satisfiable(A ^ B, all_models=True) + models.remove(next(result)) + models.remove(next(result)) + raises(StopIteration, lambda: next(result)) + assert not models + + assert list(satisfiable(Equivalent(A, B), all_models=True)) == \ + [{A: False, B: False}, {A: True, B: True}] + + models = [{A: False, B: False}, {A: False, B: True}, {A: True, B: True}] + for model in satisfiable(A >> B, all_models=True): + models.remove(model) + assert not models + + # This is a santiy test to check that only the required number + # of solutions are generated. The expr below has 2**100 - 1 models + # which would time out the test if all are generated at once. + from sympy.utilities.iterables import numbered_symbols + from sympy.logic.boolalg import Or + sym = numbered_symbols() + X = [next(sym) for i in range(100)] + result = satisfiable(Or(*X), all_models=True) + for i in range(10): + assert next(result) + + +def test_z3(): + z3 = import_module("z3") + + if not z3: + skip("z3 not installed.") + A, B, C = symbols('A,B,C') + x, y, z = symbols('x,y,z') + assert z3_satisfiable((x >= 2) & (x < 1)) is False + assert z3_satisfiable( A & ~A ) is False + + model = z3_satisfiable(A & (~A | B | C)) + assert bool(model) is True + assert model[A] is True + + # test nonlinear function + assert z3_satisfiable((x ** 2 >= 2) & (x < 1) & (x > -1)) is False + + +def test_z3_vs_lra_dpll2(): + z3 = import_module("z3") + if z3 is None: + skip("z3 not installed.") + + def boolean_formula_to_encoded_cnf(bf): + cnf = CNF.from_prop(bf) + enc = EncodedCNF() + enc.from_cnf(cnf) + return enc + + def make_random_cnf(num_clauses=5, num_constraints=10, num_var=2): + assert num_clauses <= num_constraints + constraints = make_random_problem(num_variables=num_var, num_constraints=num_constraints, rational=False) + clauses = [[cons] for cons in constraints[:num_clauses]] + for cons in constraints[num_clauses:]: + if isinstance(cons, Unequality): + cons = ~cons + i = randint(0, num_clauses-1) + clauses[i].append(cons) + + clauses = [Or(*clause) for clause in clauses] + cnf = And(*clauses) + return boolean_formula_to_encoded_cnf(cnf) + + lra_dpll2_satisfiable = lambda x: dpll2_satisfiable(x, use_lra_theory=True) + + for _ in range(50): + cnf = make_random_cnf(num_clauses=10, num_constraints=15, num_var=2) + + try: + z3_sat = z3_satisfiable(cnf) + except z3.z3types.Z3Exception: + continue + + lra_dpll2_sat = lra_dpll2_satisfiable(cnf) is not False + + assert z3_sat == lra_dpll2_sat + +def test_issue_27733(): + x, y = symbols('x,y') + clauses = [[1, -3, -2], [5, 7, -8, -6, -4], [-10, -9, 10, 11, -4], [-12, 13, 14], [-10, 9, -6, 11, -4], + [16, -15, 18, -19, -17], [11, -6, 10, -9], [9, 11, -10, -9], [2, -3, -1], [-13, 12], [-15, 3, -17], + [-16, -15, 19, -17], [-6, -9, 10, 11, -4], [20, -1, -2], [-23, -22, -21], [10, 11, -10, -9], + [9, 11, -4, -10], [24, -6, -4], [-14, 12], [-10, -9, 9, -6, 11], [25, -27, -26], [-15, 19, -18, -17], + [5, 8, -7, -6, -4], [-30, -29, 28], [12], [14]] + + encoding = {Q.gt(y, i): i for i in range(1, 31) if i != 11 and i != 12} + encoding[Q.gt(x, 0)] = 11 + encoding[Q.lt(x, 0)] = 12 + + cnf = EncodedCNF(clauses, encoding) + assert satisfiable(cnf, use_lra_theory=True) is False diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/logic/tests/test_lra_theory.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/logic/tests/test_lra_theory.py new file mode 100644 index 0000000000000000000000000000000000000000..207a3c5ba2c1b16ee5323382deee0863a5dfb595 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/logic/tests/test_lra_theory.py @@ -0,0 +1,440 @@ +from sympy.core.numbers import Rational, I, oo +from sympy.core.relational import Eq +from sympy.core.symbol import symbols +from sympy.core.singleton import S +from sympy.matrices.dense import Matrix +from sympy.matrices.dense import randMatrix +from sympy.assumptions.ask import Q +from sympy.logic.boolalg import And +from sympy.abc import x, y, z +from sympy.assumptions.cnf import CNF, EncodedCNF +from sympy.functions.elementary.trigonometric import cos +from sympy.external import import_module + +from sympy.logic.algorithms.lra_theory import LRASolver, UnhandledInput, LRARational, HANDLE_NEGATION +from sympy.core.random import random, choice, randint +from sympy.core.sympify import sympify +from sympy.ntheory.generate import randprime +from sympy.core.relational import StrictLessThan, StrictGreaterThan +import itertools + +from sympy.testing.pytest import raises, XFAIL, skip + +def make_random_problem(num_variables=2, num_constraints=2, sparsity=.1, rational=True, + disable_strict = False, disable_nonstrict=False, disable_equality=False): + def rand(sparsity=sparsity): + if random() < sparsity: + return sympify(0) + if rational: + int1, int2 = [randprime(0, 50) for _ in range(2)] + return Rational(int1, int2) * choice([-1, 1]) + else: + return randint(1, 10) * choice([-1, 1]) + + variables = symbols('x1:%s' % (num_variables + 1)) + constraints = [] + for _ in range(num_constraints): + lhs, rhs = sum(rand() * x for x in variables), rand(sparsity=0) # sparsity=0 bc of bug with smtlib_code + options = [] + if not disable_equality: + options += [Eq(lhs, rhs)] + if not disable_nonstrict: + options += [lhs <= rhs, lhs >= rhs] + if not disable_strict: + options += [lhs < rhs, lhs > rhs] + + constraints.append(choice(options)) + + return constraints + +def check_if_satisfiable_with_z3(constraints): + from sympy.external.importtools import import_module + from sympy.printing.smtlib import smtlib_code + from sympy.logic.boolalg import And + boolean_formula = And(*constraints) + z3 = import_module("z3") + if z3: + smtlib_string = smtlib_code(boolean_formula) + s = z3.Solver() + s.from_string(smtlib_string) + res = str(s.check()) + if res == 'sat': + return True + elif res == 'unsat': + return False + else: + raise ValueError(f"z3 was not able to check the satisfiability of {boolean_formula}") + +def find_rational_assignment(constr, assignment, iter=20): + eps = sympify(1) + + for _ in range(iter): + assign = {key: val[0] + val[1]*eps for key, val in assignment.items()} + try: + for cons in constr: + assert cons.subs(assign) == True + return assign + except AssertionError: + eps = eps/2 + + return None + +def boolean_formula_to_encoded_cnf(bf): + cnf = CNF.from_prop(bf) + enc = EncodedCNF() + enc.from_cnf(cnf) + return enc + + +def test_from_encoded_cnf(): + s1, s2 = symbols("s1 s2") + + # Test preprocessing + # Example is from section 3 of paper. + phi = (x >= 0) & ((x + y <= 2) | (x + 2 * y - z >= 6)) & (Eq(x + y, 2) | (x + 2 * y - z > 4)) + enc = boolean_formula_to_encoded_cnf(phi) + lra, _ = LRASolver.from_encoded_cnf(enc, testing_mode=True) + assert lra.A.shape == (2, 5) + assert str(lra.slack) == '[_s1, _s2]' + assert str(lra.nonslack) == '[x, y, z]' + assert lra.A == Matrix([[ 1, 1, 0, -1, 0], + [-1, -2, 1, 0, -1]]) + assert {(str(b.var), b.bound, b.upper, b.equality, b.strict) for b in lra.enc_to_boundary.values()} == {('_s1', 2, None, True, False), + ('_s1', 2, True, False, False), + ('_s2', -4, True, False, True), + ('_s2', -6, True, False, False), + ('x', 0, False, False, False)} + + +def test_problem(): + from sympy.logic.algorithms.lra_theory import LRASolver + from sympy.assumptions.cnf import CNF, EncodedCNF + cons = [-2 * x - 2 * y >= 7, -9 * y >= 7, -6 * y >= 5] + cnf = CNF().from_prop(And(*cons)) + enc = EncodedCNF() + enc.from_cnf(cnf) + lra, _ = LRASolver.from_encoded_cnf(enc) + lra.assert_lit(1) + lra.assert_lit(2) + lra.assert_lit(3) + is_sat, assignment = lra.check() + assert is_sat is True + + +def test_random_problems(): + z3 = import_module("z3") + if z3 is None: + skip("z3 is not installed") + + special_cases = []; x1, x2, x3 = symbols("x1 x2 x3") + special_cases.append([x1 - 3 * x2 <= -5, 6 * x1 + 4 * x2 <= 0, -7 * x1 + 3 * x2 <= 3]) + special_cases.append([-3 * x1 >= 3, Eq(4 * x1, -1)]) + special_cases.append([-4 * x1 < 4, 6 * x1 <= -6]) + special_cases.append([-3 * x2 >= 7, 6 * x1 <= -5, -3 * x2 <= -4]) + special_cases.append([x + y >= 2, x + y <= 1]) + special_cases.append([x >= 0, x + y <= 2, x + 2 * y - z >= 6]) # from paper example + special_cases.append([-2 * x1 - 2 * x2 >= 7, -9 * x1 >= 7, -6 * x1 >= 5]) + special_cases.append([2 * x1 > -3, -9 * x1 < -6, 9 * x1 <= 6]) + special_cases.append([-2*x1 < -4, 9*x1 > -9]) + special_cases.append([-6*x1 >= -1, -8*x1 + x2 >= 5, -8*x1 + 7*x2 < 4, x1 > 7]) + special_cases.append([Eq(x1, 2), Eq(5*x1, -2), Eq(-7*x2, -6), Eq(9*x1 + 10*x2, 9)]) + special_cases.append([Eq(3*x1, 6), Eq(x1 - 8*x2, -9), Eq(-7*x1 + 5*x2, 3), Eq(3*x2, 7)]) + special_cases.append([-4*x1 < 4, 6*x1 <= -6]) + special_cases.append([-3*x1 + 8*x2 >= -8, -10*x2 > 9, 8*x1 - 4*x2 < 8, 10*x1 - 9*x2 >= -9]) + special_cases.append([x1 + 5*x2 >= -6, 9*x1 - 3*x2 >= -9, 6*x1 + 6*x2 < -10, -3*x1 + 3*x2 < -7]) + special_cases.append([-9*x1 < 7, -5*x1 - 7*x2 < -1, 3*x1 + 7*x2 > 1, -6*x1 - 6*x2 > 9]) + special_cases.append([9*x1 - 6*x2 >= -7, 9*x1 + 4*x2 < -8, -7*x2 <= 1, 10*x2 <= -7]) + + feasible_count = 0 + for i in range(50): + if i % 8 == 0: + constraints = make_random_problem(num_variables=1, num_constraints=2, rational=False) + elif i % 8 == 1: + constraints = make_random_problem(num_variables=2, num_constraints=4, rational=False, disable_equality=True, + disable_nonstrict=True) + elif i % 8 == 2: + constraints = make_random_problem(num_variables=2, num_constraints=4, rational=False, disable_strict=True) + elif i % 8 == 3: + constraints = make_random_problem(num_variables=3, num_constraints=12, rational=False) + else: + constraints = make_random_problem(num_variables=3, num_constraints=6, rational=False) + + if i < len(special_cases): + constraints = special_cases[i] + + if False in constraints or True in constraints: + continue + + phi = And(*constraints) + if phi == False: + continue + cnf = CNF.from_prop(phi); enc = EncodedCNF() + enc.from_cnf(cnf) + assert all(0 not in clause for clause in enc.data) + + lra, _ = LRASolver.from_encoded_cnf(enc, testing_mode=True) + s_subs = lra.s_subs + + lra.run_checks = True + s_subs_rev = {value: key for key, value in s_subs.items()} + lits = {lit for clause in enc.data for lit in clause} + + bounds = [(lra.enc_to_boundary[l], l) for l in lits if l in lra.enc_to_boundary] + bounds = sorted(bounds, key=lambda x: (str(x[0].var), x[0].bound, str(x[0].upper))) # to remove nondeterminism + + for b, l in bounds: + if lra.result and lra.result[0] == False: + break + lra.assert_lit(l) + + feasible = lra.check() + + if feasible[0] == True: + feasible_count += 1 + assert check_if_satisfiable_with_z3(constraints) is True + cons_funcs = [cons.func for cons in constraints] + assignment = feasible[1] + assignment = {key.var : value for key, value in assignment.items()} + if not (StrictLessThan in cons_funcs or StrictGreaterThan in cons_funcs): + assignment = {key: value[0] for key, value in assignment.items()} + for cons in constraints: + assert cons.subs(assignment) == True + + else: + rat_assignment = find_rational_assignment(constraints, assignment) + assert rat_assignment is not None + else: + assert check_if_satisfiable_with_z3(constraints) is False + + conflict = feasible[1] + assert len(conflict) >= 2 + conflict = {lra.enc_to_boundary[-l].get_inequality() for l in conflict} + conflict = {clause.subs(s_subs_rev) for clause in conflict} + assert check_if_satisfiable_with_z3(conflict) is False + + # check that conflict clause is probably minimal + for subset in itertools.combinations(conflict, len(conflict)-1): + assert check_if_satisfiable_with_z3(subset) is True + + +@XFAIL +def test_pos_neg_zero(): + bf = Q.positive(x) & Q.negative(x) & Q.zero(y) + enc = boolean_formula_to_encoded_cnf(bf) + lra, _ = LRASolver.from_encoded_cnf(enc, testing_mode=True) + for lit in enc.encoding.values(): + if lra.assert_lit(lit) is not None: + break + assert len(lra.enc_to_boundary) == 3 + assert lra.check()[0] == False + + bf = Q.positive(x) & Q.lt(x, -1) + enc = boolean_formula_to_encoded_cnf(bf) + lra, _ = LRASolver.from_encoded_cnf(enc, testing_mode=True) + for lit in enc.encoding.values(): + if lra.assert_lit(lit) is not None: + break + assert len(lra.enc_to_boundary) == 2 + assert lra.check()[0] == False + + bf = Q.positive(x) & Q.zero(x) + enc = boolean_formula_to_encoded_cnf(bf) + lra, _ = LRASolver.from_encoded_cnf(enc, testing_mode=True) + for lit in enc.encoding.values(): + if lra.assert_lit(lit) is not None: + break + assert len(lra.enc_to_boundary) == 2 + assert lra.check()[0] == False + + bf = Q.positive(x) & Q.zero(y) + enc = boolean_formula_to_encoded_cnf(bf) + lra, _ = LRASolver.from_encoded_cnf(enc, testing_mode=True) + for lit in enc.encoding.values(): + if lra.assert_lit(lit) is not None: + break + assert len(lra.enc_to_boundary) == 2 + assert lra.check()[0] == True + + +@XFAIL +def test_pos_neg_infinite(): + bf = Q.positive_infinite(x) & Q.lt(x, 10000000) & Q.positive_infinite(y) + enc = boolean_formula_to_encoded_cnf(bf) + lra, _ = LRASolver.from_encoded_cnf(enc, testing_mode=True) + for lit in enc.encoding.values(): + if lra.assert_lit(lit) is not None: + break + assert len(lra.enc_to_boundary) == 3 + assert lra.check()[0] == False + + bf = Q.positive_infinite(x) & Q.gt(x, 10000000) & Q.positive_infinite(y) + enc = boolean_formula_to_encoded_cnf(bf) + lra, _ = LRASolver.from_encoded_cnf(enc, testing_mode=True) + for lit in enc.encoding.values(): + if lra.assert_lit(lit) is not None: + break + assert len(lra.enc_to_boundary) == 3 + assert lra.check()[0] == True + + bf = Q.positive_infinite(x) & Q.negative_infinite(x) + enc = boolean_formula_to_encoded_cnf(bf) + lra, _ = LRASolver.from_encoded_cnf(enc, testing_mode=True) + for lit in enc.encoding.values(): + if lra.assert_lit(lit) is not None: + break + assert len(lra.enc_to_boundary) == 2 + assert lra.check()[0] == False + + +def test_binrel_evaluation(): + bf = Q.gt(3, 2) + enc = boolean_formula_to_encoded_cnf(bf) + lra, conflicts = LRASolver.from_encoded_cnf(enc, testing_mode=True) + assert len(lra.enc_to_boundary) == 0 + assert conflicts == [[1]] + + bf = Q.lt(3, 2) + enc = boolean_formula_to_encoded_cnf(bf) + lra, conflicts = LRASolver.from_encoded_cnf(enc, testing_mode=True) + assert len(lra.enc_to_boundary) == 0 + assert conflicts == [[-1]] + + +def test_negation(): + assert HANDLE_NEGATION is True + bf = Q.gt(x, 1) & ~Q.gt(x, 0) + enc = boolean_formula_to_encoded_cnf(bf) + lra, _ = LRASolver.from_encoded_cnf(enc, testing_mode=True) + for clause in enc.data: + for lit in clause: + lra.assert_lit(lit) + assert len(lra.enc_to_boundary) == 2 + assert lra.check()[0] == False + assert sorted(lra.check()[1]) in [[-1, 2], [-2, 1]] + + bf = ~Q.gt(x, 1) & ~Q.lt(x, 0) + enc = boolean_formula_to_encoded_cnf(bf) + lra, _ = LRASolver.from_encoded_cnf(enc, testing_mode=True) + for clause in enc.data: + for lit in clause: + lra.assert_lit(lit) + assert len(lra.enc_to_boundary) == 2 + assert lra.check()[0] == True + + bf = ~Q.gt(x, 0) & ~Q.lt(x, 1) + enc = boolean_formula_to_encoded_cnf(bf) + lra, _ = LRASolver.from_encoded_cnf(enc, testing_mode=True) + for clause in enc.data: + for lit in clause: + lra.assert_lit(lit) + assert len(lra.enc_to_boundary) == 2 + assert lra.check()[0] == False + + bf = ~Q.gt(x, 0) & ~Q.le(x, 0) + enc = boolean_formula_to_encoded_cnf(bf) + lra, _ = LRASolver.from_encoded_cnf(enc, testing_mode=True) + for clause in enc.data: + for lit in clause: + lra.assert_lit(lit) + assert len(lra.enc_to_boundary) == 2 + assert lra.check()[0] == False + + bf = ~Q.le(x+y, 2) & ~Q.ge(x-y, 2) & ~Q.ge(y, 0) + enc = boolean_formula_to_encoded_cnf(bf) + lra, _ = LRASolver.from_encoded_cnf(enc, testing_mode=True) + for clause in enc.data: + for lit in clause: + lra.assert_lit(lit) + assert len(lra.enc_to_boundary) == 3 + assert lra.check()[0] == False + assert len(lra.check()[1]) == 3 + assert all(i > 0 for i in lra.check()[1]) + + +def test_unhandled_input(): + nan = S.NaN + bf = Q.gt(3, nan) & Q.gt(x, nan) + enc = boolean_formula_to_encoded_cnf(bf) + raises(ValueError, lambda: LRASolver.from_encoded_cnf(enc, testing_mode=True)) + + bf = Q.gt(3, I) & Q.gt(x, I) + enc = boolean_formula_to_encoded_cnf(bf) + raises(UnhandledInput, lambda: LRASolver.from_encoded_cnf(enc, testing_mode=True)) + + bf = Q.gt(3, float("inf")) & Q.gt(x, float("inf")) + enc = boolean_formula_to_encoded_cnf(bf) + raises(UnhandledInput, lambda: LRASolver.from_encoded_cnf(enc, testing_mode=True)) + + bf = Q.gt(3, oo) & Q.gt(x, oo) + enc = boolean_formula_to_encoded_cnf(bf) + raises(UnhandledInput, lambda: LRASolver.from_encoded_cnf(enc, testing_mode=True)) + + # test non-linearity + bf = Q.gt(x**2 + x, 2) + enc = boolean_formula_to_encoded_cnf(bf) + raises(UnhandledInput, lambda: LRASolver.from_encoded_cnf(enc, testing_mode=True)) + + bf = Q.gt(cos(x) + x, 2) + enc = boolean_formula_to_encoded_cnf(bf) + raises(UnhandledInput, lambda: LRASolver.from_encoded_cnf(enc, testing_mode=True)) + +@XFAIL +def test_infinite_strict_inequalities(): + # Extensive testing of the interaction between strict inequalities + # and constraints containing infinity is needed because + # the paper's rule for strict inequalities don't work when + # infinite numbers are allowed. Using the paper's rules you + # can end up with situations where oo + delta > oo is considered + # True when oo + delta should be equal to oo. + # See https://math.stackexchange.com/questions/4757069/can-this-method-of-converting-strict-inequalities-to-equisatisfiable-nonstrict-i + bf = (-x - y >= -float("inf")) & (x > 0) & (y >= float("inf")) + enc = boolean_formula_to_encoded_cnf(bf) + lra, _ = LRASolver.from_encoded_cnf(enc, testing_mode=True) + for lit in sorted(enc.encoding.values()): + if lra.assert_lit(lit) is not None: + break + assert len(lra.enc_to_boundary) == 3 + assert lra.check()[0] == True + + +def test_pivot(): + for _ in range(10): + m = randMatrix(5) + rref = m.rref() + for _ in range(5): + i, j = randint(0, 4), randint(0, 4) + if m[i, j] != 0: + assert LRASolver._pivot(m, i, j).rref() == rref + + +def test_reset_bounds(): + bf = Q.ge(x, 1) & Q.lt(x, 1) + enc = boolean_formula_to_encoded_cnf(bf) + lra, _ = LRASolver.from_encoded_cnf(enc, testing_mode=True) + for clause in enc.data: + for lit in clause: + lra.assert_lit(lit) + assert len(lra.enc_to_boundary) == 2 + assert lra.check()[0] == False + + lra.reset_bounds() + assert lra.check()[0] == True + for var in lra.all_var: + assert var.upper == LRARational(float("inf"), 0) + assert var.upper_from_eq == False + assert var.upper_from_neg == False + assert var.lower == LRARational(-float("inf"), 0) + assert var.lower_from_eq == False + assert var.lower_from_neg == False + assert var.assign == LRARational(0, 0) + assert var.var is not None + assert var.col_idx is not None + + +def test_empty_cnf(): + cnf = CNF() + enc = EncodedCNF() + enc.from_cnf(cnf) + lra, conflict = LRASolver.from_encoded_cnf(enc) + assert len(conflict) == 0 + assert lra.check() == (True, {}) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/logic/utilities/__init__.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/logic/utilities/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..3526c3e53d624bc70afe2df05f123c835781364c --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/logic/utilities/__init__.py @@ -0,0 +1,3 @@ +from .dimacs import load_file + +__all__ = ['load_file'] diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/logic/utilities/__pycache__/__init__.cpython-312.pyc b/tool_server/.venv/lib/python3.12/site-packages/sympy/logic/utilities/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..179e7145802738f8d25e16ebeea15138be938c25 Binary files /dev/null and b/tool_server/.venv/lib/python3.12/site-packages/sympy/logic/utilities/__pycache__/__init__.cpython-312.pyc differ diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/logic/utilities/__pycache__/dimacs.cpython-312.pyc b/tool_server/.venv/lib/python3.12/site-packages/sympy/logic/utilities/__pycache__/dimacs.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..b9efa1932553f3c373ddca39e85fe0e0d31d83a6 Binary files /dev/null and b/tool_server/.venv/lib/python3.12/site-packages/sympy/logic/utilities/__pycache__/dimacs.cpython-312.pyc differ diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/logic/utilities/dimacs.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/logic/utilities/dimacs.py new file mode 100644 index 0000000000000000000000000000000000000000..51302d8052c8ed8443239c1e21a2f063cf34e4ab --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/logic/utilities/dimacs.py @@ -0,0 +1,69 @@ +"""For reading in DIMACS file format + +www.cs.ubc.ca/~hoos/SATLIB/Benchmarks/SAT/satformat.ps + +""" + +from sympy.core import Symbol +from sympy.logic.boolalg import And, Or +import re +from pathlib import Path + + +def load(s): + """Loads a boolean expression from a string. + + Examples + ======== + + >>> from sympy.logic.utilities.dimacs import load + >>> load('1') + cnf_1 + >>> load('1 2') + cnf_1 | cnf_2 + >>> load('1 \\n 2') + cnf_1 & cnf_2 + >>> load('1 2 \\n 3') + cnf_3 & (cnf_1 | cnf_2) + """ + clauses = [] + + lines = s.split('\n') + + pComment = re.compile(r'c.*') + pStats = re.compile(r'p\s*cnf\s*(\d*)\s*(\d*)') + + while len(lines) > 0: + line = lines.pop(0) + + # Only deal with lines that aren't comments + if not pComment.match(line): + m = pStats.match(line) + + if not m: + nums = line.rstrip('\n').split(' ') + list = [] + for lit in nums: + if lit != '': + if int(lit) == 0: + continue + num = abs(int(lit)) + sign = True + if int(lit) < 0: + sign = False + + if sign: + list.append(Symbol("cnf_%s" % num)) + else: + list.append(~Symbol("cnf_%s" % num)) + + if len(list) > 0: + clauses.append(Or(*list)) + + return And(*clauses) + + +def load_file(location): + """Loads a boolean expression from a file.""" + s = Path(location).read_text() + return load(s) diff --git 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b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/__init__.py @@ -0,0 +1,62 @@ +""" A module which handles Matrix Expressions """ + +from .slice import MatrixSlice +from .blockmatrix import BlockMatrix, BlockDiagMatrix, block_collapse, blockcut +from .companion import CompanionMatrix +from .funcmatrix import FunctionMatrix +from .inverse import Inverse +from .matadd import MatAdd +from .matexpr import MatrixExpr, MatrixSymbol, matrix_symbols +from .matmul import MatMul +from .matpow import MatPow +from .trace import Trace, trace +from .determinant import Determinant, det, Permanent, per +from .transpose import Transpose +from .adjoint import Adjoint +from .hadamard import hadamard_product, HadamardProduct, hadamard_power, HadamardPower +from .diagonal import DiagonalMatrix, DiagonalOf, DiagMatrix, diagonalize_vector +from .dotproduct import DotProduct +from .kronecker import kronecker_product, KroneckerProduct, combine_kronecker +from .permutation import PermutationMatrix, MatrixPermute +from .sets import MatrixSet +from .special import ZeroMatrix, Identity, OneMatrix + +__all__ = [ + 'MatrixSlice', + + 'BlockMatrix', 'BlockDiagMatrix', 'block_collapse', 'blockcut', + 'FunctionMatrix', + + 'CompanionMatrix', + + 'Inverse', + + 'MatAdd', + + 'Identity', 'MatrixExpr', 'MatrixSymbol', 'ZeroMatrix', 'OneMatrix', + 'matrix_symbols', 'MatrixSet', + + 'MatMul', + + 'MatPow', + + 'Trace', 'trace', + + 'Determinant', 'det', + + 'Transpose', + + 'Adjoint', + + 'hadamard_product', 'HadamardProduct', 'hadamard_power', 'HadamardPower', + + 'DiagonalMatrix', 'DiagonalOf', 'DiagMatrix', 'diagonalize_vector', + + 'DotProduct', + + 'kronecker_product', 'KroneckerProduct', 'combine_kronecker', + + 'PermutationMatrix', 'MatrixPermute', + + 'Permanent', 'per' +] diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/__pycache__/__init__.cpython-312.pyc 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a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/__pycache__/transpose.cpython-312.pyc b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/__pycache__/transpose.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..ae33fc79c926863bcc22e5ab891d788b56132477 Binary files /dev/null and b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/__pycache__/transpose.cpython-312.pyc differ diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/_shape.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/_shape.py new file mode 100644 index 0000000000000000000000000000000000000000..a95d481bf8e1edf4c62992044cd50563b335caac --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/_shape.py @@ -0,0 +1,102 @@ +from sympy.core.relational import Eq +from sympy.core.expr import Expr +from sympy.core.numbers import Integer +from sympy.logic.boolalg import Boolean, And +from sympy.matrices.expressions.matexpr import MatrixExpr +from sympy.matrices.exceptions import ShapeError +from typing import Union + + +def is_matadd_valid(*args: MatrixExpr) -> Boolean: + """Return the symbolic condition how ``MatAdd``, ``HadamardProduct`` + makes sense. + + Parameters + ========== + + args + The list of arguments of matrices to be tested for. + + Examples + ======== + + >>> from sympy import MatrixSymbol, symbols + >>> from sympy.matrices.expressions._shape import is_matadd_valid + + >>> m, n, p, q = symbols('m n p q') + >>> A = MatrixSymbol('A', m, n) + >>> B = MatrixSymbol('B', p, q) + >>> is_matadd_valid(A, B) + Eq(m, p) & Eq(n, q) + """ + rows, cols = zip(*(arg.shape for arg in args)) + return And( + *(Eq(i, j) for i, j in zip(rows[:-1], rows[1:])), + *(Eq(i, j) for i, j in zip(cols[:-1], cols[1:])), + ) + + +def is_matmul_valid(*args: Union[MatrixExpr, Expr]) -> Boolean: + """Return the symbolic condition how ``MatMul`` makes sense + + Parameters + ========== + + args + The list of arguments of matrices and scalar expressions to be tested + for. + + Examples + ======== + + >>> from sympy import MatrixSymbol, symbols + >>> from sympy.matrices.expressions._shape import is_matmul_valid + + >>> m, n, p, q = symbols('m n p q') + >>> A = MatrixSymbol('A', m, n) + >>> B = MatrixSymbol('B', p, q) + >>> is_matmul_valid(A, B) + Eq(n, p) + """ + rows, cols = zip(*(arg.shape for arg in args if isinstance(arg, MatrixExpr))) + return And(*(Eq(i, j) for i, j in zip(cols[:-1], rows[1:]))) + + +def is_square(arg: MatrixExpr, /) -> Boolean: + """Return the symbolic condition how the matrix is assumed to be square + + Parameters + ========== + + arg + The matrix to be tested for. + + Examples + ======== + + >>> from sympy import MatrixSymbol, symbols + >>> from sympy.matrices.expressions._shape import is_square + + >>> m, n = symbols('m n') + >>> A = MatrixSymbol('A', m, n) + >>> is_square(A) + Eq(m, n) + """ + return Eq(arg.rows, arg.cols) + + +def validate_matadd_integer(*args: MatrixExpr) -> None: + """Validate matrix shape for addition only for integer values""" + rows, cols = zip(*(x.shape for x in args)) + if len(set(filter(lambda x: isinstance(x, (int, Integer)), rows))) > 1: + raise ShapeError(f"Matrices have mismatching shape: {rows}") + if len(set(filter(lambda x: isinstance(x, (int, Integer)), cols))) > 1: + raise ShapeError(f"Matrices have mismatching shape: {cols}") + + +def validate_matmul_integer(*args: MatrixExpr) -> None: + """Validate matrix shape for multiplication only for integer values""" + for A, B in zip(args[:-1], args[1:]): + i, j = A.cols, B.rows + if isinstance(i, (int, Integer)) and isinstance(j, (int, Integer)) and i != j: + raise ShapeError("Matrices are not aligned", i, j) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/adjoint.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/adjoint.py new file mode 100644 index 0000000000000000000000000000000000000000..2039a7b2eb8eeacb02435979121c4133a11d8e02 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/adjoint.py @@ -0,0 +1,60 @@ +from sympy.core import Basic +from sympy.functions import adjoint, conjugate +from sympy.matrices.expressions.matexpr import MatrixExpr + + +class Adjoint(MatrixExpr): + """ + The Hermitian adjoint of a matrix expression. + + This is a symbolic object that simply stores its argument without + evaluating it. To actually compute the adjoint, use the ``adjoint()`` + function. + + Examples + ======== + + >>> from sympy import MatrixSymbol, Adjoint, adjoint + >>> A = MatrixSymbol('A', 3, 5) + >>> B = MatrixSymbol('B', 5, 3) + >>> Adjoint(A*B) + Adjoint(A*B) + >>> adjoint(A*B) + Adjoint(B)*Adjoint(A) + >>> adjoint(A*B) == Adjoint(A*B) + False + >>> adjoint(A*B) == Adjoint(A*B).doit() + True + """ + is_Adjoint = True + + def doit(self, **hints): + arg = self.arg + if hints.get('deep', True) and isinstance(arg, Basic): + return adjoint(arg.doit(**hints)) + else: + return adjoint(self.arg) + + @property + def arg(self): + return self.args[0] + + @property + def shape(self): + return self.arg.shape[::-1] + + def _entry(self, i, j, **kwargs): + return conjugate(self.arg._entry(j, i, **kwargs)) + + def _eval_adjoint(self): + return self.arg + + def _eval_transpose(self): + return self.arg.conjugate() + + def _eval_conjugate(self): + return self.arg.transpose() + + def _eval_trace(self): + from sympy.matrices.expressions.trace import Trace + return conjugate(Trace(self.arg)) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/applyfunc.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/applyfunc.py new file mode 100644 index 0000000000000000000000000000000000000000..c0363658447a8dc37a152b30e45533bac582b10c --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/applyfunc.py @@ -0,0 +1,204 @@ +from sympy.core.expr import ExprBuilder +from sympy.core.function import (Function, FunctionClass, Lambda) +from sympy.core.symbol import Dummy +from sympy.core.sympify import sympify, _sympify +from sympy.matrices.expressions import MatrixExpr +from sympy.matrices.matrixbase import MatrixBase + + +class ElementwiseApplyFunction(MatrixExpr): + r""" + Apply function to a matrix elementwise without evaluating. + + Examples + ======== + + It can be created by calling ``.applyfunc()`` on a matrix + expression: + + >>> from sympy import MatrixSymbol + >>> from sympy.matrices.expressions.applyfunc import ElementwiseApplyFunction + >>> from sympy import exp + >>> X = MatrixSymbol("X", 3, 3) + >>> X.applyfunc(exp) + Lambda(_d, exp(_d)).(X) + + Otherwise using the class constructor: + + >>> from sympy import eye + >>> expr = ElementwiseApplyFunction(exp, eye(3)) + >>> expr + Lambda(_d, exp(_d)).(Matrix([ + [1, 0, 0], + [0, 1, 0], + [0, 0, 1]])) + >>> expr.doit() + Matrix([ + [E, 1, 1], + [1, E, 1], + [1, 1, E]]) + + Notice the difference with the real mathematical functions: + + >>> exp(eye(3)) + Matrix([ + [E, 0, 0], + [0, E, 0], + [0, 0, E]]) + """ + + def __new__(cls, function, expr): + expr = _sympify(expr) + if not expr.is_Matrix: + raise ValueError("{} must be a matrix instance.".format(expr)) + + if expr.shape == (1, 1): + # Check if the function returns a matrix, in that case, just apply + # the function instead of creating an ElementwiseApplyFunc object: + ret = function(expr) + if isinstance(ret, MatrixExpr): + return ret + + if not isinstance(function, (FunctionClass, Lambda)): + d = Dummy('d') + function = Lambda(d, function(d)) + + function = sympify(function) + if not isinstance(function, (FunctionClass, Lambda)): + raise ValueError( + "{} should be compatible with SymPy function classes." + .format(function)) + + if 1 not in function.nargs: + raise ValueError( + '{} should be able to accept 1 arguments.'.format(function)) + + if not isinstance(function, Lambda): + d = Dummy('d') + function = Lambda(d, function(d)) + + obj = MatrixExpr.__new__(cls, function, expr) + return obj + + @property + def function(self): + return self.args[0] + + @property + def expr(self): + return self.args[1] + + @property + def shape(self): + return self.expr.shape + + def doit(self, **hints): + deep = hints.get("deep", True) + expr = self.expr + if deep: + expr = expr.doit(**hints) + function = self.function + if isinstance(function, Lambda) and function.is_identity: + # This is a Lambda containing the identity function. + return expr + if isinstance(expr, MatrixBase): + return expr.applyfunc(self.function) + elif isinstance(expr, ElementwiseApplyFunction): + return ElementwiseApplyFunction( + lambda x: self.function(expr.function(x)), + expr.expr + ).doit(**hints) + else: + return self + + def _entry(self, i, j, **kwargs): + return self.function(self.expr._entry(i, j, **kwargs)) + + def _get_function_fdiff(self): + d = Dummy("d") + function = self.function(d) + fdiff = function.diff(d) + if isinstance(fdiff, Function): + fdiff = type(fdiff) + else: + fdiff = Lambda(d, fdiff) + return fdiff + + def _eval_derivative(self, x): + from sympy.matrices.expressions.hadamard import hadamard_product + dexpr = self.expr.diff(x) + fdiff = self._get_function_fdiff() + return hadamard_product( + dexpr, + ElementwiseApplyFunction(fdiff, self.expr) + ) + + def _eval_derivative_matrix_lines(self, x): + from sympy.matrices.expressions.special import Identity + from sympy.tensor.array.expressions.array_expressions import ArrayContraction + from sympy.tensor.array.expressions.array_expressions import ArrayDiagonal + from sympy.tensor.array.expressions.array_expressions import ArrayTensorProduct + + fdiff = self._get_function_fdiff() + lr = self.expr._eval_derivative_matrix_lines(x) + ewdiff = ElementwiseApplyFunction(fdiff, self.expr) + if 1 in x.shape: + # Vector: + iscolumn = self.shape[1] == 1 + for i in lr: + if iscolumn: + ptr1 = i.first_pointer + ptr2 = Identity(self.shape[1]) + else: + ptr1 = Identity(self.shape[0]) + ptr2 = i.second_pointer + + subexpr = ExprBuilder( + ArrayDiagonal, + [ + ExprBuilder( + ArrayTensorProduct, + [ + ewdiff, + ptr1, + ptr2, + ] + ), + (0, 2) if iscolumn else (1, 4) + ], + validator=ArrayDiagonal._validate + ) + i._lines = [subexpr] + i._first_pointer_parent = subexpr.args[0].args + i._first_pointer_index = 1 + i._second_pointer_parent = subexpr.args[0].args + i._second_pointer_index = 2 + else: + # Matrix case: + for i in lr: + ptr1 = i.first_pointer + ptr2 = i.second_pointer + newptr1 = Identity(ptr1.shape[1]) + newptr2 = Identity(ptr2.shape[1]) + subexpr = ExprBuilder( + ArrayContraction, + [ + ExprBuilder( + ArrayTensorProduct, + [ptr1, newptr1, ewdiff, ptr2, newptr2] + ), + (1, 2, 4), + (5, 7, 8), + ], + validator=ArrayContraction._validate + ) + i._first_pointer_parent = subexpr.args[0].args + i._first_pointer_index = 1 + i._second_pointer_parent = subexpr.args[0].args + i._second_pointer_index = 4 + i._lines = [subexpr] + return lr + + def _eval_transpose(self): + from sympy.matrices.expressions.transpose import Transpose + return self.func(self.function, Transpose(self.expr).doit()) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/blockmatrix.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/blockmatrix.py new file mode 100644 index 0000000000000000000000000000000000000000..0125d6233ba7cf8c0b590fbb655d9c7c447e0bd4 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/blockmatrix.py @@ -0,0 +1,975 @@ +from sympy.assumptions.ask import (Q, ask) +from sympy.core import Basic, Add, Mul, S +from sympy.core.sympify import _sympify +from sympy.functions.elementary.complexes import re, im +from sympy.strategies import typed, exhaust, condition, do_one, unpack +from sympy.strategies.traverse import bottom_up +from sympy.utilities.iterables import is_sequence, sift +from sympy.utilities.misc import filldedent + +from sympy.matrices import Matrix, ShapeError +from sympy.matrices.exceptions import NonInvertibleMatrixError +from sympy.matrices.expressions.determinant import det, Determinant +from sympy.matrices.expressions.inverse import Inverse +from sympy.matrices.expressions.matadd import MatAdd +from sympy.matrices.expressions.matexpr import MatrixExpr, MatrixElement +from sympy.matrices.expressions.matmul import MatMul +from sympy.matrices.expressions.matpow import MatPow +from sympy.matrices.expressions.slice import MatrixSlice +from sympy.matrices.expressions.special import ZeroMatrix, Identity +from sympy.matrices.expressions.trace import trace +from sympy.matrices.expressions.transpose import Transpose, transpose + + +class BlockMatrix(MatrixExpr): + """A BlockMatrix is a Matrix comprised of other matrices. + + The submatrices are stored in a SymPy Matrix object but accessed as part of + a Matrix Expression + + >>> from sympy import (MatrixSymbol, BlockMatrix, symbols, + ... Identity, ZeroMatrix, block_collapse) + >>> n,m,l = symbols('n m l') + >>> X = MatrixSymbol('X', n, n) + >>> Y = MatrixSymbol('Y', m, m) + >>> Z = MatrixSymbol('Z', n, m) + >>> B = BlockMatrix([[X, Z], [ZeroMatrix(m,n), Y]]) + >>> print(B) + Matrix([ + [X, Z], + [0, Y]]) + + >>> C = BlockMatrix([[Identity(n), Z]]) + >>> print(C) + Matrix([[I, Z]]) + + >>> print(block_collapse(C*B)) + Matrix([[X, Z + Z*Y]]) + + Some matrices might be comprised of rows of blocks with + the matrices in each row having the same height and the + rows all having the same total number of columns but + not having the same number of columns for each matrix + in each row. In this case, the matrix is not a block + matrix and should be instantiated by Matrix. + + >>> from sympy import ones, Matrix + >>> dat = [ + ... [ones(3,2), ones(3,3)*2], + ... [ones(2,3)*3, ones(2,2)*4]] + ... + >>> BlockMatrix(dat) + Traceback (most recent call last): + ... + ValueError: + Although this matrix is comprised of blocks, the blocks do not fill + the matrix in a size-symmetric fashion. To create a full matrix from + these arguments, pass them directly to Matrix. + >>> Matrix(dat) + Matrix([ + [1, 1, 2, 2, 2], + [1, 1, 2, 2, 2], + [1, 1, 2, 2, 2], + [3, 3, 3, 4, 4], + [3, 3, 3, 4, 4]]) + + See Also + ======== + sympy.matrices.matrixbase.MatrixBase.irregular + """ + def __new__(cls, *args, **kwargs): + from sympy.matrices.immutable import ImmutableDenseMatrix + isMat = lambda i: getattr(i, 'is_Matrix', False) + if len(args) != 1 or \ + not is_sequence(args[0]) or \ + len({isMat(r) for r in args[0]}) != 1: + raise ValueError(filldedent(''' + expecting a sequence of 1 or more rows + containing Matrices.''')) + rows = args[0] if args else [] + if not isMat(rows): + if rows and isMat(rows[0]): + rows = [rows] # rows is not list of lists or [] + # regularity check + # same number of matrices in each row + blocky = ok = len({len(r) for r in rows}) == 1 + if ok: + # same number of rows for each matrix in a row + for r in rows: + ok = len({i.rows for i in r}) == 1 + if not ok: + break + blocky = ok + if ok: + # same number of cols for each matrix in each col + for c in range(len(rows[0])): + ok = len({rows[i][c].cols + for i in range(len(rows))}) == 1 + if not ok: + break + if not ok: + # same total cols in each row + ok = len({ + sum(i.cols for i in r) for r in rows}) == 1 + if blocky and ok: + raise ValueError(filldedent(''' + Although this matrix is comprised of blocks, + the blocks do not fill the matrix in a + size-symmetric fashion. To create a full matrix + from these arguments, pass them directly to + Matrix.''')) + raise ValueError(filldedent(''' + When there are not the same number of rows in each + row's matrices or there are not the same number of + total columns in each row, the matrix is not a + block matrix. If this matrix is known to consist of + blocks fully filling a 2-D space then see + Matrix.irregular.''')) + mat = ImmutableDenseMatrix(rows, evaluate=False) + obj = Basic.__new__(cls, mat) + return obj + + @property + def shape(self): + numrows = numcols = 0 + M = self.blocks + for i in range(M.shape[0]): + numrows += M[i, 0].shape[0] + for i in range(M.shape[1]): + numcols += M[0, i].shape[1] + return (numrows, numcols) + + @property + def blockshape(self): + return self.blocks.shape + + @property + def blocks(self): + return self.args[0] + + @property + def rowblocksizes(self): + return [self.blocks[i, 0].rows for i in range(self.blockshape[0])] + + @property + def colblocksizes(self): + return [self.blocks[0, i].cols for i in range(self.blockshape[1])] + + def structurally_equal(self, other): + return (isinstance(other, BlockMatrix) + and self.shape == other.shape + and self.blockshape == other.blockshape + and self.rowblocksizes == other.rowblocksizes + and self.colblocksizes == other.colblocksizes) + + def _blockmul(self, other): + if (isinstance(other, BlockMatrix) and + self.colblocksizes == other.rowblocksizes): + return BlockMatrix(self.blocks*other.blocks) + + return self * other + + def _blockadd(self, other): + if (isinstance(other, BlockMatrix) + and self.structurally_equal(other)): + return BlockMatrix(self.blocks + other.blocks) + + return self + other + + def _eval_transpose(self): + # Flip all the individual matrices + matrices = [transpose(matrix) for matrix in self.blocks] + # Make a copy + M = Matrix(self.blockshape[0], self.blockshape[1], matrices) + # Transpose the block structure + M = M.transpose() + return BlockMatrix(M) + + def _eval_adjoint(self): + return BlockMatrix( + Matrix(self.blockshape[0], self.blockshape[1], self.blocks).adjoint() + ) + + def _eval_trace(self): + if self.rowblocksizes == self.colblocksizes: + blocks = [self.blocks[i, i] for i in range(self.blockshape[0])] + return Add(*[trace(block) for block in blocks]) + + def _eval_determinant(self): + if self.blockshape == (1, 1): + return det(self.blocks[0, 0]) + if self.blockshape == (2, 2): + [[A, B], + [C, D]] = self.blocks.tolist() + if ask(Q.invertible(A)): + return det(A)*det(D - C*A.I*B) + elif ask(Q.invertible(D)): + return det(D)*det(A - B*D.I*C) + return Determinant(self) + + def _eval_as_real_imag(self): + real_matrices = [re(matrix) for matrix in self.blocks] + real_matrices = Matrix(self.blockshape[0], self.blockshape[1], real_matrices) + + im_matrices = [im(matrix) for matrix in self.blocks] + im_matrices = Matrix(self.blockshape[0], self.blockshape[1], im_matrices) + + return (BlockMatrix(real_matrices), BlockMatrix(im_matrices)) + + def _eval_derivative(self, x): + return BlockMatrix(self.blocks.diff(x)) + + def transpose(self): + """Return transpose of matrix. + + Examples + ======== + + >>> from sympy import MatrixSymbol, BlockMatrix, ZeroMatrix + >>> from sympy.abc import m, n + >>> X = MatrixSymbol('X', n, n) + >>> Y = MatrixSymbol('Y', m, m) + >>> Z = MatrixSymbol('Z', n, m) + >>> B = BlockMatrix([[X, Z], [ZeroMatrix(m,n), Y]]) + >>> B.transpose() + Matrix([ + [X.T, 0], + [Z.T, Y.T]]) + >>> _.transpose() + Matrix([ + [X, Z], + [0, Y]]) + """ + return self._eval_transpose() + + def schur(self, mat = 'A', generalized = False): + """Return the Schur Complement of the 2x2 BlockMatrix + + Parameters + ========== + + mat : String, optional + The matrix with respect to which the + Schur Complement is calculated. 'A' is + used by default + + generalized : bool, optional + If True, returns the generalized Schur + Component which uses Moore-Penrose Inverse + + Examples + ======== + + >>> from sympy import symbols, MatrixSymbol, BlockMatrix + >>> m, n = symbols('m n') + >>> A = MatrixSymbol('A', n, n) + >>> B = MatrixSymbol('B', n, m) + >>> C = MatrixSymbol('C', m, n) + >>> D = MatrixSymbol('D', m, m) + >>> X = BlockMatrix([[A, B], [C, D]]) + + The default Schur Complement is evaluated with "A" + + >>> X.schur() + -C*A**(-1)*B + D + >>> X.schur('D') + A - B*D**(-1)*C + + Schur complement with non-invertible matrices is not + defined. Instead, the generalized Schur complement can + be calculated which uses the Moore-Penrose Inverse. To + achieve this, `generalized` must be set to `True` + + >>> X.schur('B', generalized=True) + C - D*(B.T*B)**(-1)*B.T*A + >>> X.schur('C', generalized=True) + -A*(C.T*C)**(-1)*C.T*D + B + + Returns + ======= + + M : Matrix + The Schur Complement Matrix + + Raises + ====== + + ShapeError + If the block matrix is not a 2x2 matrix + + NonInvertibleMatrixError + If given matrix is non-invertible + + References + ========== + + .. [1] Wikipedia Article on Schur Component : https://en.wikipedia.org/wiki/Schur_complement + + See Also + ======== + + sympy.matrices.matrixbase.MatrixBase.pinv + """ + + if self.blockshape == (2, 2): + [[A, B], + [C, D]] = self.blocks.tolist() + d={'A' : A, 'B' : B, 'C' : C, 'D' : D} + try: + inv = (d[mat].T*d[mat]).inv()*d[mat].T if generalized else d[mat].inv() + if mat == 'A': + return D - C * inv * B + elif mat == 'B': + return C - D * inv * A + elif mat == 'C': + return B - A * inv * D + elif mat == 'D': + return A - B * inv * C + #For matrices where no sub-matrix is square + return self + except NonInvertibleMatrixError: + raise NonInvertibleMatrixError('The given matrix is not invertible. Please set generalized=True \ + to compute the generalized Schur Complement which uses Moore-Penrose Inverse') + else: + raise ShapeError('Schur Complement can only be calculated for 2x2 block matrices') + + def LDUdecomposition(self): + """Returns the Block LDU decomposition of + a 2x2 Block Matrix + + Returns + ======= + + (L, D, U) : Matrices + L : Lower Diagonal Matrix + D : Diagonal Matrix + U : Upper Diagonal Matrix + + Examples + ======== + + >>> from sympy import symbols, MatrixSymbol, BlockMatrix, block_collapse + >>> m, n = symbols('m n') + >>> A = MatrixSymbol('A', n, n) + >>> B = MatrixSymbol('B', n, m) + >>> C = MatrixSymbol('C', m, n) + >>> D = MatrixSymbol('D', m, m) + >>> X = BlockMatrix([[A, B], [C, D]]) + >>> L, D, U = X.LDUdecomposition() + >>> block_collapse(L*D*U) + Matrix([ + [A, B], + [C, D]]) + + Raises + ====== + + ShapeError + If the block matrix is not a 2x2 matrix + + NonInvertibleMatrixError + If the matrix "A" is non-invertible + + See Also + ======== + sympy.matrices.expressions.blockmatrix.BlockMatrix.UDLdecomposition + sympy.matrices.expressions.blockmatrix.BlockMatrix.LUdecomposition + """ + if self.blockshape == (2,2): + [[A, B], + [C, D]] = self.blocks.tolist() + try: + AI = A.I + except NonInvertibleMatrixError: + raise NonInvertibleMatrixError('Block LDU decomposition cannot be calculated when\ + "A" is singular') + Ip = Identity(B.shape[0]) + Iq = Identity(B.shape[1]) + Z = ZeroMatrix(*B.shape) + L = BlockMatrix([[Ip, Z], [C*AI, Iq]]) + D = BlockDiagMatrix(A, self.schur()) + U = BlockMatrix([[Ip, AI*B],[Z.T, Iq]]) + return L, D, U + else: + raise ShapeError("Block LDU decomposition is supported only for 2x2 block matrices") + + def UDLdecomposition(self): + """Returns the Block UDL decomposition of + a 2x2 Block Matrix + + Returns + ======= + + (U, D, L) : Matrices + U : Upper Diagonal Matrix + D : Diagonal Matrix + L : Lower Diagonal Matrix + + Examples + ======== + + >>> from sympy import symbols, MatrixSymbol, BlockMatrix, block_collapse + >>> m, n = symbols('m n') + >>> A = MatrixSymbol('A', n, n) + >>> B = MatrixSymbol('B', n, m) + >>> C = MatrixSymbol('C', m, n) + >>> D = MatrixSymbol('D', m, m) + >>> X = BlockMatrix([[A, B], [C, D]]) + >>> U, D, L = X.UDLdecomposition() + >>> block_collapse(U*D*L) + Matrix([ + [A, B], + [C, D]]) + + Raises + ====== + + ShapeError + If the block matrix is not a 2x2 matrix + + NonInvertibleMatrixError + If the matrix "D" is non-invertible + + See Also + ======== + sympy.matrices.expressions.blockmatrix.BlockMatrix.LDUdecomposition + sympy.matrices.expressions.blockmatrix.BlockMatrix.LUdecomposition + """ + if self.blockshape == (2,2): + [[A, B], + [C, D]] = self.blocks.tolist() + try: + DI = D.I + except NonInvertibleMatrixError: + raise NonInvertibleMatrixError('Block UDL decomposition cannot be calculated when\ + "D" is singular') + Ip = Identity(A.shape[0]) + Iq = Identity(B.shape[1]) + Z = ZeroMatrix(*B.shape) + U = BlockMatrix([[Ip, B*DI], [Z.T, Iq]]) + D = BlockDiagMatrix(self.schur('D'), D) + L = BlockMatrix([[Ip, Z],[DI*C, Iq]]) + return U, D, L + else: + raise ShapeError("Block UDL decomposition is supported only for 2x2 block matrices") + + def LUdecomposition(self): + """Returns the Block LU decomposition of + a 2x2 Block Matrix + + Returns + ======= + + (L, U) : Matrices + L : Lower Diagonal Matrix + U : Upper Diagonal Matrix + + Examples + ======== + + >>> from sympy import symbols, MatrixSymbol, BlockMatrix, block_collapse + >>> m, n = symbols('m n') + >>> A = MatrixSymbol('A', n, n) + >>> B = MatrixSymbol('B', n, m) + >>> C = MatrixSymbol('C', m, n) + >>> D = MatrixSymbol('D', m, m) + >>> X = BlockMatrix([[A, B], [C, D]]) + >>> L, U = X.LUdecomposition() + >>> block_collapse(L*U) + Matrix([ + [A, B], + [C, D]]) + + Raises + ====== + + ShapeError + If the block matrix is not a 2x2 matrix + + NonInvertibleMatrixError + If the matrix "A" is non-invertible + + See Also + ======== + sympy.matrices.expressions.blockmatrix.BlockMatrix.UDLdecomposition + sympy.matrices.expressions.blockmatrix.BlockMatrix.LDUdecomposition + """ + if self.blockshape == (2,2): + [[A, B], + [C, D]] = self.blocks.tolist() + try: + A = A**S.Half + AI = A.I + except NonInvertibleMatrixError: + raise NonInvertibleMatrixError('Block LU decomposition cannot be calculated when\ + "A" is singular') + Z = ZeroMatrix(*B.shape) + Q = self.schur()**S.Half + L = BlockMatrix([[A, Z], [C*AI, Q]]) + U = BlockMatrix([[A, AI*B],[Z.T, Q]]) + return L, U + else: + raise ShapeError("Block LU decomposition is supported only for 2x2 block matrices") + + def _entry(self, i, j, **kwargs): + # Find row entry + orig_i, orig_j = i, j + for row_block, numrows in enumerate(self.rowblocksizes): + cmp = i < numrows + if cmp == True: + break + elif cmp == False: + i -= numrows + elif row_block < self.blockshape[0] - 1: + # Can't tell which block and it's not the last one, return unevaluated + return MatrixElement(self, orig_i, orig_j) + for col_block, numcols in enumerate(self.colblocksizes): + cmp = j < numcols + if cmp == True: + break + elif cmp == False: + j -= numcols + elif col_block < self.blockshape[1] - 1: + return MatrixElement(self, orig_i, orig_j) + return self.blocks[row_block, col_block][i, j] + + @property + def is_Identity(self): + if self.blockshape[0] != self.blockshape[1]: + return False + for i in range(self.blockshape[0]): + for j in range(self.blockshape[1]): + if i==j and not self.blocks[i, j].is_Identity: + return False + if i!=j and not self.blocks[i, j].is_ZeroMatrix: + return False + return True + + @property + def is_structurally_symmetric(self): + return self.rowblocksizes == self.colblocksizes + + def equals(self, other): + if self == other: + return True + if (isinstance(other, BlockMatrix) and self.blocks == other.blocks): + return True + return super().equals(other) + + +class BlockDiagMatrix(BlockMatrix): + """A sparse matrix with block matrices along its diagonals + + Examples + ======== + + >>> from sympy import MatrixSymbol, BlockDiagMatrix, symbols + >>> n, m, l = symbols('n m l') + >>> X = MatrixSymbol('X', n, n) + >>> Y = MatrixSymbol('Y', m, m) + >>> BlockDiagMatrix(X, Y) + Matrix([ + [X, 0], + [0, Y]]) + + Notes + ===== + + If you want to get the individual diagonal blocks, use + :meth:`get_diag_blocks`. + + See Also + ======== + + sympy.matrices.dense.diag + """ + def __new__(cls, *mats): + return Basic.__new__(BlockDiagMatrix, *[_sympify(m) for m in mats]) + + @property + def diag(self): + return self.args + + @property + def blocks(self): + from sympy.matrices.immutable import ImmutableDenseMatrix + mats = self.args + data = [[mats[i] if i == j else ZeroMatrix(mats[i].rows, mats[j].cols) + for j in range(len(mats))] + for i in range(len(mats))] + return ImmutableDenseMatrix(data, evaluate=False) + + @property + def shape(self): + return (sum(block.rows for block in self.args), + sum(block.cols for block in self.args)) + + @property + def blockshape(self): + n = len(self.args) + return (n, n) + + @property + def rowblocksizes(self): + return [block.rows for block in self.args] + + @property + def colblocksizes(self): + return [block.cols for block in self.args] + + def _all_square_blocks(self): + """Returns true if all blocks are square""" + return all(mat.is_square for mat in self.args) + + def _eval_determinant(self): + if self._all_square_blocks(): + return Mul(*[det(mat) for mat in self.args]) + # At least one block is non-square. Since the entire matrix must be square we know there must + # be at least two blocks in this matrix, in which case the entire matrix is necessarily rank-deficient + return S.Zero + + def _eval_inverse(self, expand='ignored'): + if self._all_square_blocks(): + return BlockDiagMatrix(*[mat.inverse() for mat in self.args]) + # See comment in _eval_determinant() + raise NonInvertibleMatrixError('Matrix det == 0; not invertible.') + + def _eval_transpose(self): + return BlockDiagMatrix(*[mat.transpose() for mat in self.args]) + + def _blockmul(self, other): + if (isinstance(other, BlockDiagMatrix) and + self.colblocksizes == other.rowblocksizes): + return BlockDiagMatrix(*[a*b for a, b in zip(self.args, other.args)]) + else: + return BlockMatrix._blockmul(self, other) + + def _blockadd(self, other): + if (isinstance(other, BlockDiagMatrix) and + self.blockshape == other.blockshape and + self.rowblocksizes == other.rowblocksizes and + self.colblocksizes == other.colblocksizes): + return BlockDiagMatrix(*[a + b for a, b in zip(self.args, other.args)]) + else: + return BlockMatrix._blockadd(self, other) + + def get_diag_blocks(self): + """Return the list of diagonal blocks of the matrix. + + Examples + ======== + + >>> from sympy import BlockDiagMatrix, Matrix + + >>> A = Matrix([[1, 2], [3, 4]]) + >>> B = Matrix([[5, 6], [7, 8]]) + >>> M = BlockDiagMatrix(A, B) + + How to get diagonal blocks from the block diagonal matrix: + + >>> diag_blocks = M.get_diag_blocks() + >>> diag_blocks[0] + Matrix([ + [1, 2], + [3, 4]]) + >>> diag_blocks[1] + Matrix([ + [5, 6], + [7, 8]]) + """ + return self.args + + +def block_collapse(expr): + """Evaluates a block matrix expression + + >>> from sympy import MatrixSymbol, BlockMatrix, symbols, Identity, ZeroMatrix, block_collapse + >>> n,m,l = symbols('n m l') + >>> X = MatrixSymbol('X', n, n) + >>> Y = MatrixSymbol('Y', m, m) + >>> Z = MatrixSymbol('Z', n, m) + >>> B = BlockMatrix([[X, Z], [ZeroMatrix(m, n), Y]]) + >>> print(B) + Matrix([ + [X, Z], + [0, Y]]) + + >>> C = BlockMatrix([[Identity(n), Z]]) + >>> print(C) + Matrix([[I, Z]]) + + >>> print(block_collapse(C*B)) + Matrix([[X, Z + Z*Y]]) + """ + from sympy.strategies.util import expr_fns + + hasbm = lambda expr: isinstance(expr, MatrixExpr) and expr.has(BlockMatrix) + + conditioned_rl = condition( + hasbm, + typed( + {MatAdd: do_one(bc_matadd, bc_block_plus_ident), + MatMul: do_one(bc_matmul, bc_dist), + MatPow: bc_matmul, + Transpose: bc_transpose, + Inverse: bc_inverse, + BlockMatrix: do_one(bc_unpack, deblock)} + ) + ) + + rule = exhaust( + bottom_up( + exhaust(conditioned_rl), + fns=expr_fns + ) + ) + + result = rule(expr) + doit = getattr(result, 'doit', None) + if doit is not None: + return doit() + else: + return result + +def bc_unpack(expr): + if expr.blockshape == (1, 1): + return expr.blocks[0, 0] + return expr + +def bc_matadd(expr): + args = sift(expr.args, lambda M: isinstance(M, BlockMatrix)) + blocks = args[True] + if not blocks: + return expr + + nonblocks = args[False] + block = blocks[0] + for b in blocks[1:]: + block = block._blockadd(b) + if nonblocks: + return MatAdd(*nonblocks) + block + else: + return block + +def bc_block_plus_ident(expr): + idents = [arg for arg in expr.args if arg.is_Identity] + if not idents: + return expr + + blocks = [arg for arg in expr.args if isinstance(arg, BlockMatrix)] + if (blocks and all(b.structurally_equal(blocks[0]) for b in blocks) + and blocks[0].is_structurally_symmetric): + block_id = BlockDiagMatrix(*[Identity(k) + for k in blocks[0].rowblocksizes]) + rest = [arg for arg in expr.args if not arg.is_Identity and not isinstance(arg, BlockMatrix)] + return MatAdd(block_id * len(idents), *blocks, *rest).doit() + + return expr + +def bc_dist(expr): + """ Turn a*[X, Y] into [a*X, a*Y] """ + factor, mat = expr.as_coeff_mmul() + if factor == 1: + return expr + + unpacked = unpack(mat) + + if isinstance(unpacked, BlockDiagMatrix): + B = unpacked.diag + new_B = [factor * mat for mat in B] + return BlockDiagMatrix(*new_B) + elif isinstance(unpacked, BlockMatrix): + B = unpacked.blocks + new_B = [ + [factor * B[i, j] for j in range(B.cols)] for i in range(B.rows)] + return BlockMatrix(new_B) + return expr + + +def bc_matmul(expr): + if isinstance(expr, MatPow): + if expr.args[1].is_Integer and expr.args[1] > 0: + factor, matrices = 1, [expr.args[0]]*expr.args[1] + else: + return expr + else: + factor, matrices = expr.as_coeff_matrices() + + i = 0 + while (i+1 < len(matrices)): + A, B = matrices[i:i+2] + if isinstance(A, BlockMatrix) and isinstance(B, BlockMatrix): + matrices[i] = A._blockmul(B) + matrices.pop(i+1) + elif isinstance(A, BlockMatrix): + matrices[i] = A._blockmul(BlockMatrix([[B]])) + matrices.pop(i+1) + elif isinstance(B, BlockMatrix): + matrices[i] = BlockMatrix([[A]])._blockmul(B) + matrices.pop(i+1) + else: + i+=1 + return MatMul(factor, *matrices).doit() + +def bc_transpose(expr): + collapse = block_collapse(expr.arg) + return collapse._eval_transpose() + + +def bc_inverse(expr): + if isinstance(expr.arg, BlockDiagMatrix): + return expr.inverse() + + expr2 = blockinverse_1x1(expr) + if expr != expr2: + return expr2 + return blockinverse_2x2(Inverse(reblock_2x2(expr.arg))) + +def blockinverse_1x1(expr): + if isinstance(expr.arg, BlockMatrix) and expr.arg.blockshape == (1, 1): + mat = Matrix([[expr.arg.blocks[0].inverse()]]) + return BlockMatrix(mat) + return expr + + +def blockinverse_2x2(expr): + if isinstance(expr.arg, BlockMatrix) and expr.arg.blockshape == (2, 2): + # See: Inverses of 2x2 Block Matrices, Tzon-Tzer Lu and Sheng-Hua Shiou + [[A, B], + [C, D]] = expr.arg.blocks.tolist() + + formula = _choose_2x2_inversion_formula(A, B, C, D) + if formula != None: + MI = expr.arg.schur(formula).I + if formula == 'A': + AI = A.I + return BlockMatrix([[AI + AI * B * MI * C * AI, -AI * B * MI], [-MI * C * AI, MI]]) + if formula == 'B': + BI = B.I + return BlockMatrix([[-MI * D * BI, MI], [BI + BI * A * MI * D * BI, -BI * A * MI]]) + if formula == 'C': + CI = C.I + return BlockMatrix([[-CI * D * MI, CI + CI * D * MI * A * CI], [MI, -MI * A * CI]]) + if formula == 'D': + DI = D.I + return BlockMatrix([[MI, -MI * B * DI], [-DI * C * MI, DI + DI * C * MI * B * DI]]) + + return expr + + +def _choose_2x2_inversion_formula(A, B, C, D): + """ + Assuming [[A, B], [C, D]] would form a valid square block matrix, find + which of the classical 2x2 block matrix inversion formulas would be + best suited. + + Returns 'A', 'B', 'C', 'D' to represent the algorithm involving inversion + of the given argument or None if the matrix cannot be inverted using + any of those formulas. + """ + # Try to find a known invertible matrix. Note that the Schur complement + # is currently not being considered for this + A_inv = ask(Q.invertible(A)) + if A_inv == True: + return 'A' + B_inv = ask(Q.invertible(B)) + if B_inv == True: + return 'B' + C_inv = ask(Q.invertible(C)) + if C_inv == True: + return 'C' + D_inv = ask(Q.invertible(D)) + if D_inv == True: + return 'D' + # Otherwise try to find a matrix that isn't known to be non-invertible + if A_inv != False: + return 'A' + if B_inv != False: + return 'B' + if C_inv != False: + return 'C' + if D_inv != False: + return 'D' + return None + + +def deblock(B): + """ Flatten a BlockMatrix of BlockMatrices """ + if not isinstance(B, BlockMatrix) or not B.blocks.has(BlockMatrix): + return B + wrap = lambda x: x if isinstance(x, BlockMatrix) else BlockMatrix([[x]]) + bb = B.blocks.applyfunc(wrap) # everything is a block + + try: + MM = Matrix(0, sum(bb[0, i].blocks.shape[1] for i in range(bb.shape[1])), []) + for row in range(0, bb.shape[0]): + M = Matrix(bb[row, 0].blocks) + for col in range(1, bb.shape[1]): + M = M.row_join(bb[row, col].blocks) + MM = MM.col_join(M) + + return BlockMatrix(MM) + except ShapeError: + return B + + +def reblock_2x2(expr): + """ + Reblock a BlockMatrix so that it has 2x2 blocks of block matrices. If + possible in such a way that the matrix continues to be invertible using the + classical 2x2 block inversion formulas. + """ + if not isinstance(expr, BlockMatrix) or not all(d > 2 for d in expr.blockshape): + return expr + + BM = BlockMatrix # for brevity's sake + rowblocks, colblocks = expr.blockshape + blocks = expr.blocks + for i in range(1, rowblocks): + for j in range(1, colblocks): + # try to split rows at i and cols at j + A = bc_unpack(BM(blocks[:i, :j])) + B = bc_unpack(BM(blocks[:i, j:])) + C = bc_unpack(BM(blocks[i:, :j])) + D = bc_unpack(BM(blocks[i:, j:])) + + formula = _choose_2x2_inversion_formula(A, B, C, D) + if formula is not None: + return BlockMatrix([[A, B], [C, D]]) + + # else: nothing worked, just split upper left corner + return BM([[blocks[0, 0], BM(blocks[0, 1:])], + [BM(blocks[1:, 0]), BM(blocks[1:, 1:])]]) + + +def bounds(sizes): + """ Convert sequence of numbers into pairs of low-high pairs + + >>> from sympy.matrices.expressions.blockmatrix import bounds + >>> bounds((1, 10, 50)) + [(0, 1), (1, 11), (11, 61)] + """ + low = 0 + rv = [] + for size in sizes: + rv.append((low, low + size)) + low += size + return rv + +def blockcut(expr, rowsizes, colsizes): + """ Cut a matrix expression into Blocks + + >>> from sympy import ImmutableMatrix, blockcut + >>> M = ImmutableMatrix(4, 4, range(16)) + >>> B = blockcut(M, (1, 3), (1, 3)) + >>> type(B).__name__ + 'BlockMatrix' + >>> ImmutableMatrix(B.blocks[0, 1]) + Matrix([[1, 2, 3]]) + """ + + rowbounds = bounds(rowsizes) + colbounds = bounds(colsizes) + return BlockMatrix([[MatrixSlice(expr, rowbound, colbound) + for colbound in colbounds] + for rowbound in rowbounds]) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/companion.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/companion.py new file mode 100644 index 0000000000000000000000000000000000000000..6969c917f63806cb1f5417804e01ecc1350d1406 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/companion.py @@ -0,0 +1,56 @@ +from sympy.core.singleton import S +from sympy.core.sympify import _sympify +from sympy.polys.polytools import Poly + +from .matexpr import MatrixExpr + + +class CompanionMatrix(MatrixExpr): + """A symbolic companion matrix of a polynomial. + + Examples + ======== + + >>> from sympy import Poly, Symbol, symbols + >>> from sympy.matrices.expressions import CompanionMatrix + >>> x = Symbol('x') + >>> c0, c1, c2, c3, c4 = symbols('c0:5') + >>> p = Poly(c0 + c1*x + c2*x**2 + c3*x**3 + c4*x**4 + x**5, x) + >>> CompanionMatrix(p) + CompanionMatrix(Poly(x**5 + c4*x**4 + c3*x**3 + c2*x**2 + c1*x + c0, + x, domain='ZZ[c0,c1,c2,c3,c4]')) + """ + def __new__(cls, poly): + poly = _sympify(poly) + if not isinstance(poly, Poly): + raise ValueError("{} must be a Poly instance.".format(poly)) + if not poly.is_monic: + raise ValueError("{} must be a monic polynomial.".format(poly)) + if not poly.is_univariate: + raise ValueError( + "{} must be a univariate polynomial.".format(poly)) + if not poly.degree() >= 1: + raise ValueError( + "{} must have degree not less than 1.".format(poly)) + + return super().__new__(cls, poly) + + + @property + def shape(self): + poly = self.args[0] + size = poly.degree() + return size, size + + + def _entry(self, i, j): + if j == self.cols - 1: + return -self.args[0].all_coeffs()[-1 - i] + elif i == j + 1: + return S.One + return S.Zero + + + def as_explicit(self): + from sympy.matrices.immutable import ImmutableDenseMatrix + return ImmutableDenseMatrix.companion(self.args[0]) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/determinant.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/determinant.py new file mode 100644 index 0000000000000000000000000000000000000000..b323b3f93a5a0404bf2205f39d25b931d173b6d9 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/determinant.py @@ -0,0 +1,148 @@ +from sympy.core.basic import Basic +from sympy.core.expr import Expr +from sympy.core.singleton import S +from sympy.core.sympify import sympify +from sympy.matrices.exceptions import NonSquareMatrixError +from sympy.matrices.matrixbase import MatrixBase + + +class Determinant(Expr): + """Matrix Determinant + + Represents the determinant of a matrix expression. + + Examples + ======== + + >>> from sympy import MatrixSymbol, Determinant, eye + >>> A = MatrixSymbol('A', 3, 3) + >>> Determinant(A) + Determinant(A) + >>> Determinant(eye(3)).doit() + 1 + """ + is_commutative = True + + def __new__(cls, mat): + mat = sympify(mat) + if not mat.is_Matrix: + raise TypeError("Input to Determinant, %s, not a matrix" % str(mat)) + + if mat.is_square is False: + raise NonSquareMatrixError("Det of a non-square matrix") + + return Basic.__new__(cls, mat) + + @property + def arg(self): + return self.args[0] + + @property + def kind(self): + return self.arg.kind.element_kind + + def doit(self, **hints): + arg = self.arg + if hints.get('deep', True): + arg = arg.doit(**hints) + + result = arg._eval_determinant() + if result is not None: + return result + + return self + + +def det(matexpr): + """ Matrix Determinant + + Examples + ======== + + >>> from sympy import MatrixSymbol, det, eye + >>> A = MatrixSymbol('A', 3, 3) + >>> det(A) + Determinant(A) + >>> det(eye(3)) + 1 + """ + + return Determinant(matexpr).doit() + +class Permanent(Expr): + """Matrix Permanent + + Represents the permanent of a matrix expression. + + Examples + ======== + + >>> from sympy import MatrixSymbol, Permanent, ones + >>> A = MatrixSymbol('A', 3, 3) + >>> Permanent(A) + Permanent(A) + >>> Permanent(ones(3, 3)).doit() + 6 + """ + + def __new__(cls, mat): + mat = sympify(mat) + if not mat.is_Matrix: + raise TypeError("Input to Permanent, %s, not a matrix" % str(mat)) + + return Basic.__new__(cls, mat) + + @property + def arg(self): + return self.args[0] + + def doit(self, expand=False, **hints): + if isinstance(self.arg, MatrixBase): + return self.arg.per() + else: + return self + +def per(matexpr): + """ Matrix Permanent + + Examples + ======== + + >>> from sympy import MatrixSymbol, Matrix, per, ones + >>> A = MatrixSymbol('A', 3, 3) + >>> per(A) + Permanent(A) + >>> per(ones(5, 5)) + 120 + >>> M = Matrix([1, 2, 5]) + >>> per(M) + 8 + """ + + return Permanent(matexpr).doit() + +from sympy.assumptions.ask import ask, Q +from sympy.assumptions.refine import handlers_dict + + +def refine_Determinant(expr, assumptions): + """ + >>> from sympy import MatrixSymbol, Q, assuming, refine, det + >>> X = MatrixSymbol('X', 2, 2) + >>> det(X) + Determinant(X) + >>> with assuming(Q.orthogonal(X)): + ... print(refine(det(X))) + 1 + """ + if ask(Q.orthogonal(expr.arg), assumptions): + return S.One + elif ask(Q.singular(expr.arg), assumptions): + return S.Zero + elif ask(Q.unit_triangular(expr.arg), assumptions): + return S.One + + return expr + + +handlers_dict['Determinant'] = refine_Determinant diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/diagonal.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/diagonal.py new file mode 100644 index 0000000000000000000000000000000000000000..ba8a0216588143e3e251dab84c25f038fad550a4 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/diagonal.py @@ -0,0 +1,220 @@ +from sympy.core.sympify import _sympify + +from sympy.matrices.expressions import MatrixExpr +from sympy.core import S, Eq, Ge +from sympy.core.mul import Mul +from sympy.functions.special.tensor_functions import KroneckerDelta + + +class DiagonalMatrix(MatrixExpr): + """DiagonalMatrix(M) will create a matrix expression that + behaves as though all off-diagonal elements, + `M[i, j]` where `i != j`, are zero. + + Examples + ======== + + >>> from sympy import MatrixSymbol, DiagonalMatrix, Symbol + >>> n = Symbol('n', integer=True) + >>> m = Symbol('m', integer=True) + >>> D = DiagonalMatrix(MatrixSymbol('x', 2, 3)) + >>> D[1, 2] + 0 + >>> D[1, 1] + x[1, 1] + + The length of the diagonal -- the lesser of the two dimensions of `M` -- + is accessed through the `diagonal_length` property: + + >>> D.diagonal_length + 2 + >>> DiagonalMatrix(MatrixSymbol('x', n + 1, n)).diagonal_length + n + + When one of the dimensions is symbolic the other will be treated as + though it is smaller: + + >>> tall = DiagonalMatrix(MatrixSymbol('x', n, 3)) + >>> tall.diagonal_length + 3 + >>> tall[10, 1] + 0 + + When the size of the diagonal is not known, a value of None will + be returned: + + >>> DiagonalMatrix(MatrixSymbol('x', n, m)).diagonal_length is None + True + + """ + arg = property(lambda self: self.args[0]) + + shape = property(lambda self: self.arg.shape) # type:ignore + + @property + def diagonal_length(self): + r, c = self.shape + if r.is_Integer and c.is_Integer: + m = min(r, c) + elif r.is_Integer and not c.is_Integer: + m = r + elif c.is_Integer and not r.is_Integer: + m = c + elif r == c: + m = r + else: + try: + m = min(r, c) + except TypeError: + m = None + return m + + def _entry(self, i, j, **kwargs): + if self.diagonal_length is not None: + if Ge(i, self.diagonal_length) is S.true: + return S.Zero + elif Ge(j, self.diagonal_length) is S.true: + return S.Zero + eq = Eq(i, j) + if eq is S.true: + return self.arg[i, i] + elif eq is S.false: + return S.Zero + return self.arg[i, j]*KroneckerDelta(i, j) + + +class DiagonalOf(MatrixExpr): + """DiagonalOf(M) will create a matrix expression that + is equivalent to the diagonal of `M`, represented as + a single column matrix. + + Examples + ======== + + >>> from sympy import MatrixSymbol, DiagonalOf, Symbol + >>> n = Symbol('n', integer=True) + >>> m = Symbol('m', integer=True) + >>> x = MatrixSymbol('x', 2, 3) + >>> diag = DiagonalOf(x) + >>> diag.shape + (2, 1) + + The diagonal can be addressed like a matrix or vector and will + return the corresponding element of the original matrix: + + >>> diag[1, 0] == diag[1] == x[1, 1] + True + + The length of the diagonal -- the lesser of the two dimensions of `M` -- + is accessed through the `diagonal_length` property: + + >>> diag.diagonal_length + 2 + >>> DiagonalOf(MatrixSymbol('x', n + 1, n)).diagonal_length + n + + When only one of the dimensions is symbolic the other will be + treated as though it is smaller: + + >>> dtall = DiagonalOf(MatrixSymbol('x', n, 3)) + >>> dtall.diagonal_length + 3 + + When the size of the diagonal is not known, a value of None will + be returned: + + >>> DiagonalOf(MatrixSymbol('x', n, m)).diagonal_length is None + True + + """ + arg = property(lambda self: self.args[0]) + @property + def shape(self): + r, c = self.arg.shape + if r.is_Integer and c.is_Integer: + m = min(r, c) + elif r.is_Integer and not c.is_Integer: + m = r + elif c.is_Integer and not r.is_Integer: + m = c + elif r == c: + m = r + else: + try: + m = min(r, c) + except TypeError: + m = None + return m, S.One + + @property + def diagonal_length(self): + return self.shape[0] + + def _entry(self, i, j, **kwargs): + return self.arg._entry(i, i, **kwargs) + + +class DiagMatrix(MatrixExpr): + """ + Turn a vector into a diagonal matrix. + """ + def __new__(cls, vector): + vector = _sympify(vector) + obj = MatrixExpr.__new__(cls, vector) + shape = vector.shape + dim = shape[1] if shape[0] == 1 else shape[0] + if vector.shape[0] != 1: + obj._iscolumn = True + else: + obj._iscolumn = False + obj._shape = (dim, dim) + obj._vector = vector + return obj + + @property + def shape(self): + return self._shape + + def _entry(self, i, j, **kwargs): + if self._iscolumn: + result = self._vector._entry(i, 0, **kwargs) + else: + result = self._vector._entry(0, j, **kwargs) + if i != j: + result *= KroneckerDelta(i, j) + return result + + def _eval_transpose(self): + return self + + def as_explicit(self): + from sympy.matrices.dense import diag + return diag(*list(self._vector.as_explicit())) + + def doit(self, **hints): + from sympy.assumptions import ask, Q + from sympy.matrices.expressions.matmul import MatMul + from sympy.matrices.expressions.transpose import Transpose + from sympy.matrices.dense import eye + from sympy.matrices.matrixbase import MatrixBase + vector = self._vector + # This accounts for shape (1, 1) and identity matrices, among others: + if ask(Q.diagonal(vector)): + return vector + if isinstance(vector, MatrixBase): + ret = eye(max(vector.shape)) + for i in range(ret.shape[0]): + ret[i, i] = vector[i] + return type(vector)(ret) + if vector.is_MatMul: + matrices = [arg for arg in vector.args if arg.is_Matrix] + scalars = [arg for arg in vector.args if arg not in matrices] + if scalars: + return Mul.fromiter(scalars)*DiagMatrix(MatMul.fromiter(matrices).doit()).doit() + if isinstance(vector, Transpose): + vector = vector.arg + return DiagMatrix(vector) + + +def diagonalize_vector(vector): + return DiagMatrix(vector).doit() diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/dotproduct.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/dotproduct.py new file mode 100644 index 0000000000000000000000000000000000000000..3a413f8c79a221505f0c082d7f19f78597a2befc --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/dotproduct.py @@ -0,0 +1,55 @@ +from sympy.core import Basic, Expr +from sympy.core.sympify import _sympify +from sympy.matrices.expressions.transpose import transpose + + +class DotProduct(Expr): + """ + Dot product of vector matrices + + The input should be two 1 x n or n x 1 matrices. The output represents the + scalar dotproduct. + + This is similar to using MatrixElement and MatMul, except DotProduct does + not require that one vector to be a row vector and the other vector to be + a column vector. + + >>> from sympy import MatrixSymbol, DotProduct + >>> A = MatrixSymbol('A', 1, 3) + >>> B = MatrixSymbol('B', 1, 3) + >>> DotProduct(A, B) + DotProduct(A, B) + >>> DotProduct(A, B).doit() + A[0, 0]*B[0, 0] + A[0, 1]*B[0, 1] + A[0, 2]*B[0, 2] + """ + + def __new__(cls, arg1, arg2): + arg1, arg2 = _sympify((arg1, arg2)) + + if not arg1.is_Matrix: + raise TypeError("Argument 1 of DotProduct is not a matrix") + if not arg2.is_Matrix: + raise TypeError("Argument 2 of DotProduct is not a matrix") + if not (1 in arg1.shape): + raise TypeError("Argument 1 of DotProduct is not a vector") + if not (1 in arg2.shape): + raise TypeError("Argument 2 of DotProduct is not a vector") + + if set(arg1.shape) != set(arg2.shape): + raise TypeError("DotProduct arguments are not the same length") + + return Basic.__new__(cls, arg1, arg2) + + def doit(self, expand=False, **hints): + if self.args[0].shape == self.args[1].shape: + if self.args[0].shape[0] == 1: + mul = self.args[0]*transpose(self.args[1]) + else: + mul = transpose(self.args[0])*self.args[1] + else: + if self.args[0].shape[0] == 1: + mul = self.args[0]*self.args[1] + else: + mul = transpose(self.args[0])*transpose(self.args[1]) + + return mul[0] diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/factorizations.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/factorizations.py new file mode 100644 index 0000000000000000000000000000000000000000..aff2bb81ecff99d8e733f282ac2dd187d76ce895 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/factorizations.py @@ -0,0 +1,62 @@ +from sympy.matrices.expressions import MatrixExpr +from sympy.assumptions.ask import Q + +class Factorization(MatrixExpr): + arg = property(lambda self: self.args[0]) + shape = property(lambda self: self.arg.shape) # type: ignore + +class LofLU(Factorization): + @property + def predicates(self): + return (Q.lower_triangular,) +class UofLU(Factorization): + @property + def predicates(self): + return (Q.upper_triangular,) + +class LofCholesky(LofLU): pass +class UofCholesky(UofLU): pass + +class QofQR(Factorization): + @property + def predicates(self): + return (Q.orthogonal,) +class RofQR(Factorization): + @property + def predicates(self): + return (Q.upper_triangular,) + +class EigenVectors(Factorization): + @property + def predicates(self): + return (Q.orthogonal,) +class EigenValues(Factorization): + @property + def predicates(self): + return (Q.diagonal,) + +class UofSVD(Factorization): + @property + def predicates(self): + return (Q.orthogonal,) +class SofSVD(Factorization): + @property + def predicates(self): + return (Q.diagonal,) +class VofSVD(Factorization): + @property + def predicates(self): + return (Q.orthogonal,) + + +def lu(expr): + return LofLU(expr), UofLU(expr) + +def qr(expr): + return QofQR(expr), RofQR(expr) + +def eig(expr): + return EigenValues(expr), EigenVectors(expr) + +def svd(expr): + return UofSVD(expr), SofSVD(expr), VofSVD(expr) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/fourier.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/fourier.py new file mode 100644 index 0000000000000000000000000000000000000000..5fa9222c2a9b218f42636267235d5dd44c25f8bb --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/fourier.py @@ -0,0 +1,91 @@ +from sympy.core.sympify import _sympify +from sympy.matrices.expressions import MatrixExpr +from sympy.core.numbers import I +from sympy.core.singleton import S +from sympy.functions.elementary.exponential import exp +from sympy.functions.elementary.miscellaneous import sqrt + + +class DFT(MatrixExpr): + r""" + Returns a discrete Fourier transform matrix. The matrix is scaled + with :math:`\frac{1}{\sqrt{n}}` so that it is unitary. + + Parameters + ========== + + n : integer or Symbol + Size of the transform. + + Examples + ======== + + >>> from sympy.abc import n + >>> from sympy.matrices.expressions.fourier import DFT + >>> DFT(3) + DFT(3) + >>> DFT(3).as_explicit() + Matrix([ + [sqrt(3)/3, sqrt(3)/3, sqrt(3)/3], + [sqrt(3)/3, sqrt(3)*exp(-2*I*pi/3)/3, sqrt(3)*exp(2*I*pi/3)/3], + [sqrt(3)/3, sqrt(3)*exp(2*I*pi/3)/3, sqrt(3)*exp(-2*I*pi/3)/3]]) + >>> DFT(n).shape + (n, n) + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/DFT_matrix + + """ + + def __new__(cls, n): + n = _sympify(n) + cls._check_dim(n) + + obj = super().__new__(cls, n) + return obj + + n = property(lambda self: self.args[0]) # type: ignore + shape = property(lambda self: (self.n, self.n)) # type: ignore + + def _entry(self, i, j, **kwargs): + w = exp(-2*S.Pi*I/self.n) + return w**(i*j) / sqrt(self.n) + + def _eval_inverse(self): + return IDFT(self.n) + + +class IDFT(DFT): + r""" + Returns an inverse discrete Fourier transform matrix. The matrix is scaled + with :math:`\frac{1}{\sqrt{n}}` so that it is unitary. + + Parameters + ========== + + n : integer or Symbol + Size of the transform + + Examples + ======== + + >>> from sympy.matrices.expressions.fourier import DFT, IDFT + >>> IDFT(3) + IDFT(3) + >>> IDFT(4)*DFT(4) + I + + See Also + ======== + + DFT + + """ + def _entry(self, i, j, **kwargs): + w = exp(-2*S.Pi*I/self.n) + return w**(-i*j) / sqrt(self.n) + + def _eval_inverse(self): + return DFT(self.n) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/funcmatrix.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/funcmatrix.py new file mode 100644 index 0000000000000000000000000000000000000000..91106edb489b73ac9dd6cb94adc508c0db75d3a5 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/funcmatrix.py @@ -0,0 +1,118 @@ +from .matexpr import MatrixExpr +from sympy.core.function import FunctionClass, Lambda +from sympy.core.symbol import Dummy +from sympy.core.sympify import _sympify, sympify +from sympy.matrices import Matrix +from sympy.functions.elementary.complexes import re, im + + +class FunctionMatrix(MatrixExpr): + """Represents a matrix using a function (``Lambda``) which gives + outputs according to the coordinates of each matrix entries. + + Parameters + ========== + + rows : nonnegative integer. Can be symbolic. + + cols : nonnegative integer. Can be symbolic. + + lamda : Function, Lambda or str + If it is a SymPy ``Function`` or ``Lambda`` instance, + it should be able to accept two arguments which represents the + matrix coordinates. + + If it is a pure string containing Python ``lambda`` semantics, + it is interpreted by the SymPy parser and casted into a SymPy + ``Lambda`` instance. + + Examples + ======== + + Creating a ``FunctionMatrix`` from ``Lambda``: + + >>> from sympy import FunctionMatrix, symbols, Lambda, MatPow + >>> i, j, n, m = symbols('i,j,n,m') + >>> FunctionMatrix(n, m, Lambda((i, j), i + j)) + FunctionMatrix(n, m, Lambda((i, j), i + j)) + + Creating a ``FunctionMatrix`` from a SymPy function: + + >>> from sympy import KroneckerDelta + >>> X = FunctionMatrix(3, 3, KroneckerDelta) + >>> X.as_explicit() + Matrix([ + [1, 0, 0], + [0, 1, 0], + [0, 0, 1]]) + + Creating a ``FunctionMatrix`` from a SymPy undefined function: + + >>> from sympy import Function + >>> f = Function('f') + >>> X = FunctionMatrix(3, 3, f) + >>> X.as_explicit() + Matrix([ + [f(0, 0), f(0, 1), f(0, 2)], + [f(1, 0), f(1, 1), f(1, 2)], + [f(2, 0), f(2, 1), f(2, 2)]]) + + Creating a ``FunctionMatrix`` from Python ``lambda``: + + >>> FunctionMatrix(n, m, 'lambda i, j: i + j') + FunctionMatrix(n, m, Lambda((i, j), i + j)) + + Example of lazy evaluation of matrix product: + + >>> Y = FunctionMatrix(1000, 1000, Lambda((i, j), i + j)) + >>> isinstance(Y*Y, MatPow) # this is an expression object + True + >>> (Y**2)[10,10] # So this is evaluated lazily + 342923500 + + Notes + ===== + + This class provides an alternative way to represent an extremely + dense matrix with entries in some form of a sequence, in a most + sparse way. + """ + def __new__(cls, rows, cols, lamda): + rows, cols = _sympify(rows), _sympify(cols) + cls._check_dim(rows) + cls._check_dim(cols) + + lamda = sympify(lamda) + if not isinstance(lamda, (FunctionClass, Lambda)): + raise ValueError( + "{} should be compatible with SymPy function classes." + .format(lamda)) + + if 2 not in lamda.nargs: + raise ValueError( + '{} should be able to accept 2 arguments.'.format(lamda)) + + if not isinstance(lamda, Lambda): + i, j = Dummy('i'), Dummy('j') + lamda = Lambda((i, j), lamda(i, j)) + + return super().__new__(cls, rows, cols, lamda) + + @property + def shape(self): + return self.args[0:2] + + @property + def lamda(self): + return self.args[2] + + def _entry(self, i, j, **kwargs): + return self.lamda(i, j) + + def _eval_trace(self): + from sympy.matrices.expressions.trace import Trace + from sympy.concrete.summations import Sum + return Trace(self).rewrite(Sum).doit() + + def _eval_as_real_imag(self): + return (re(Matrix(self)), im(Matrix(self))) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/hadamard.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/hadamard.py new file mode 100644 index 0000000000000000000000000000000000000000..38c9033ebea3a7bfc569223978dc6ef3890206cf --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/hadamard.py @@ -0,0 +1,464 @@ +from collections import Counter + +from sympy.core import Mul, sympify +from sympy.core.add import Add +from sympy.core.expr import ExprBuilder +from sympy.core.sorting import default_sort_key +from sympy.functions.elementary.exponential import log +from sympy.matrices.expressions.matexpr import MatrixExpr +from sympy.matrices.expressions._shape import validate_matadd_integer as validate +from sympy.matrices.expressions.special import ZeroMatrix, OneMatrix +from sympy.strategies import ( + unpack, flatten, condition, exhaust, rm_id, sort +) +from sympy.utilities.exceptions import sympy_deprecation_warning + + +def hadamard_product(*matrices): + """ + Return the elementwise (aka Hadamard) product of matrices. + + Examples + ======== + + >>> from sympy import hadamard_product, MatrixSymbol + >>> A = MatrixSymbol('A', 2, 3) + >>> B = MatrixSymbol('B', 2, 3) + >>> hadamard_product(A) + A + >>> hadamard_product(A, B) + HadamardProduct(A, B) + >>> hadamard_product(A, B)[0, 1] + A[0, 1]*B[0, 1] + """ + if not matrices: + raise TypeError("Empty Hadamard product is undefined") + if len(matrices) == 1: + return matrices[0] + return HadamardProduct(*matrices).doit() + + +class HadamardProduct(MatrixExpr): + """ + Elementwise product of matrix expressions + + Examples + ======== + + Hadamard product for matrix symbols: + + >>> from sympy import hadamard_product, HadamardProduct, MatrixSymbol + >>> A = MatrixSymbol('A', 5, 5) + >>> B = MatrixSymbol('B', 5, 5) + >>> isinstance(hadamard_product(A, B), HadamardProduct) + True + + Notes + ===== + + This is a symbolic object that simply stores its argument without + evaluating it. To actually compute the product, use the function + ``hadamard_product()`` or ``HadamardProduct.doit`` + """ + is_HadamardProduct = True + + def __new__(cls, *args, evaluate=False, check=None): + args = list(map(sympify, args)) + if len(args) == 0: + # We currently don't have a way to support one-matrices of generic dimensions: + raise ValueError("HadamardProduct needs at least one argument") + + if not all(isinstance(arg, MatrixExpr) for arg in args): + raise TypeError("Mix of Matrix and Scalar symbols") + + if check is not None: + sympy_deprecation_warning( + "Passing check to HadamardProduct is deprecated and the check argument will be removed in a future version.", + deprecated_since_version="1.11", + active_deprecations_target='remove-check-argument-from-matrix-operations') + + if check is not False: + validate(*args) + + obj = super().__new__(cls, *args) + if evaluate: + obj = obj.doit(deep=False) + return obj + + @property + def shape(self): + return self.args[0].shape + + def _entry(self, i, j, **kwargs): + return Mul(*[arg._entry(i, j, **kwargs) for arg in self.args]) + + def _eval_transpose(self): + from sympy.matrices.expressions.transpose import transpose + return HadamardProduct(*list(map(transpose, self.args))) + + def doit(self, **hints): + expr = self.func(*(i.doit(**hints) for i in self.args)) + # Check for explicit matrices: + from sympy.matrices.matrixbase import MatrixBase + from sympy.matrices.immutable import ImmutableMatrix + + explicit = [i for i in expr.args if isinstance(i, MatrixBase)] + if explicit: + remainder = [i for i in expr.args if i not in explicit] + expl_mat = ImmutableMatrix([ + Mul.fromiter(i) for i in zip(*explicit) + ]).reshape(*self.shape) + expr = HadamardProduct(*([expl_mat] + remainder)) + + return canonicalize(expr) + + def _eval_derivative(self, x): + terms = [] + args = list(self.args) + for i in range(len(args)): + factors = args[:i] + [args[i].diff(x)] + args[i+1:] + terms.append(hadamard_product(*factors)) + return Add.fromiter(terms) + + def _eval_derivative_matrix_lines(self, x): + from sympy.tensor.array.expressions.array_expressions import ArrayDiagonal + from sympy.tensor.array.expressions.array_expressions import ArrayTensorProduct + from sympy.matrices.expressions.matexpr import _make_matrix + + with_x_ind = [i for i, arg in enumerate(self.args) if arg.has(x)] + lines = [] + for ind in with_x_ind: + left_args = self.args[:ind] + right_args = self.args[ind+1:] + + d = self.args[ind]._eval_derivative_matrix_lines(x) + hadam = hadamard_product(*(right_args + left_args)) + diagonal = [(0, 2), (3, 4)] + diagonal = [e for j, e in enumerate(diagonal) if self.shape[j] != 1] + for i in d: + l1 = i._lines[i._first_line_index] + l2 = i._lines[i._second_line_index] + subexpr = ExprBuilder( + ArrayDiagonal, + [ + ExprBuilder( + ArrayTensorProduct, + [ + ExprBuilder(_make_matrix, [l1]), + hadam, + ExprBuilder(_make_matrix, [l2]), + ] + ), + *diagonal], + + ) + i._first_pointer_parent = subexpr.args[0].args[0].args + i._first_pointer_index = 0 + i._second_pointer_parent = subexpr.args[0].args[2].args + i._second_pointer_index = 0 + i._lines = [subexpr] + lines.append(i) + + return lines + + +# TODO Implement algorithm for rewriting Hadamard product as diagonal matrix +# if matmul identy matrix is multiplied. +def canonicalize(x): + """Canonicalize the Hadamard product ``x`` with mathematical properties. + + Examples + ======== + + >>> from sympy import MatrixSymbol, HadamardProduct + >>> from sympy import OneMatrix, ZeroMatrix + >>> from sympy.matrices.expressions.hadamard import canonicalize + >>> from sympy import init_printing + >>> init_printing(use_unicode=False) + + >>> A = MatrixSymbol('A', 2, 2) + >>> B = MatrixSymbol('B', 2, 2) + >>> C = MatrixSymbol('C', 2, 2) + + Hadamard product associativity: + + >>> X = HadamardProduct(A, HadamardProduct(B, C)) + >>> X + A.*(B.*C) + >>> canonicalize(X) + A.*B.*C + + Hadamard product commutativity: + + >>> X = HadamardProduct(A, B) + >>> Y = HadamardProduct(B, A) + >>> X + A.*B + >>> Y + B.*A + >>> canonicalize(X) + A.*B + >>> canonicalize(Y) + A.*B + + Hadamard product identity: + + >>> X = HadamardProduct(A, OneMatrix(2, 2)) + >>> X + A.*1 + >>> canonicalize(X) + A + + Absorbing element of Hadamard product: + + >>> X = HadamardProduct(A, ZeroMatrix(2, 2)) + >>> X + A.*0 + >>> canonicalize(X) + 0 + + Rewriting to Hadamard Power + + >>> X = HadamardProduct(A, A, A) + >>> X + A.*A.*A + >>> canonicalize(X) + .3 + A + + Notes + ===== + + As the Hadamard product is associative, nested products can be flattened. + + The Hadamard product is commutative so that factors can be sorted for + canonical form. + + A matrix of only ones is an identity for Hadamard product, + so every matrices of only ones can be removed. + + Any zero matrix will make the whole product a zero matrix. + + Duplicate elements can be collected and rewritten as HadamardPower + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Hadamard_product_(matrices) + """ + # Associativity + rule = condition( + lambda x: isinstance(x, HadamardProduct), + flatten + ) + fun = exhaust(rule) + x = fun(x) + + # Identity + fun = condition( + lambda x: isinstance(x, HadamardProduct), + rm_id(lambda x: isinstance(x, OneMatrix)) + ) + x = fun(x) + + # Absorbing by Zero Matrix + def absorb(x): + if any(isinstance(c, ZeroMatrix) for c in x.args): + return ZeroMatrix(*x.shape) + else: + return x + fun = condition( + lambda x: isinstance(x, HadamardProduct), + absorb + ) + x = fun(x) + + # Rewriting with HadamardPower + if isinstance(x, HadamardProduct): + tally = Counter(x.args) + + new_arg = [] + for base, exp in tally.items(): + if exp == 1: + new_arg.append(base) + else: + new_arg.append(HadamardPower(base, exp)) + + x = HadamardProduct(*new_arg) + + # Commutativity + fun = condition( + lambda x: isinstance(x, HadamardProduct), + sort(default_sort_key) + ) + x = fun(x) + + # Unpacking + x = unpack(x) + return x + + +def hadamard_power(base, exp): + base = sympify(base) + exp = sympify(exp) + if exp == 1: + return base + if not base.is_Matrix: + return base**exp + if exp.is_Matrix: + raise ValueError("cannot raise expression to a matrix") + return HadamardPower(base, exp) + + +class HadamardPower(MatrixExpr): + r""" + Elementwise power of matrix expressions + + Parameters + ========== + + base : scalar or matrix + + exp : scalar or matrix + + Notes + ===== + + There are four definitions for the hadamard power which can be used. + Let's consider `A, B` as `(m, n)` matrices, and `a, b` as scalars. + + Matrix raised to a scalar exponent: + + .. math:: + A^{\circ b} = \begin{bmatrix} + A_{0, 0}^b & A_{0, 1}^b & \cdots & A_{0, n-1}^b \\ + A_{1, 0}^b & A_{1, 1}^b & \cdots & A_{1, n-1}^b \\ + \vdots & \vdots & \ddots & \vdots \\ + A_{m-1, 0}^b & A_{m-1, 1}^b & \cdots & A_{m-1, n-1}^b + \end{bmatrix} + + Scalar raised to a matrix exponent: + + .. math:: + a^{\circ B} = \begin{bmatrix} + a^{B_{0, 0}} & a^{B_{0, 1}} & \cdots & a^{B_{0, n-1}} \\ + a^{B_{1, 0}} & a^{B_{1, 1}} & \cdots & a^{B_{1, n-1}} \\ + \vdots & \vdots & \ddots & \vdots \\ + a^{B_{m-1, 0}} & a^{B_{m-1, 1}} & \cdots & a^{B_{m-1, n-1}} + \end{bmatrix} + + Matrix raised to a matrix exponent: + + .. math:: + A^{\circ B} = \begin{bmatrix} + A_{0, 0}^{B_{0, 0}} & A_{0, 1}^{B_{0, 1}} & + \cdots & A_{0, n-1}^{B_{0, n-1}} \\ + A_{1, 0}^{B_{1, 0}} & A_{1, 1}^{B_{1, 1}} & + \cdots & A_{1, n-1}^{B_{1, n-1}} \\ + \vdots & \vdots & + \ddots & \vdots \\ + A_{m-1, 0}^{B_{m-1, 0}} & A_{m-1, 1}^{B_{m-1, 1}} & + \cdots & A_{m-1, n-1}^{B_{m-1, n-1}} + \end{bmatrix} + + Scalar raised to a scalar exponent: + + .. math:: + a^{\circ b} = a^b + """ + + def __new__(cls, base, exp): + base = sympify(base) + exp = sympify(exp) + + if base.is_scalar and exp.is_scalar: + return base ** exp + + if isinstance(base, MatrixExpr) and isinstance(exp, MatrixExpr): + validate(base, exp) + + obj = super().__new__(cls, base, exp) + return obj + + @property + def base(self): + return self._args[0] + + @property + def exp(self): + return self._args[1] + + @property + def shape(self): + if self.base.is_Matrix: + return self.base.shape + return self.exp.shape + + def _entry(self, i, j, **kwargs): + base = self.base + exp = self.exp + + if base.is_Matrix: + a = base._entry(i, j, **kwargs) + elif base.is_scalar: + a = base + else: + raise ValueError( + 'The base {} must be a scalar or a matrix.'.format(base)) + + if exp.is_Matrix: + b = exp._entry(i, j, **kwargs) + elif exp.is_scalar: + b = exp + else: + raise ValueError( + 'The exponent {} must be a scalar or a matrix.'.format(exp)) + + return a ** b + + def _eval_transpose(self): + from sympy.matrices.expressions.transpose import transpose + return HadamardPower(transpose(self.base), self.exp) + + def _eval_derivative(self, x): + dexp = self.exp.diff(x) + logbase = self.base.applyfunc(log) + dlbase = logbase.diff(x) + return hadamard_product( + dexp*logbase + self.exp*dlbase, + self + ) + + def _eval_derivative_matrix_lines(self, x): + from sympy.tensor.array.expressions.array_expressions import ArrayTensorProduct + from sympy.tensor.array.expressions.array_expressions import ArrayDiagonal + from sympy.matrices.expressions.matexpr import _make_matrix + + lr = self.base._eval_derivative_matrix_lines(x) + for i in lr: + diagonal = [(1, 2), (3, 4)] + diagonal = [e for j, e in enumerate(diagonal) if self.base.shape[j] != 1] + l1 = i._lines[i._first_line_index] + l2 = i._lines[i._second_line_index] + subexpr = ExprBuilder( + ArrayDiagonal, + [ + ExprBuilder( + ArrayTensorProduct, + [ + ExprBuilder(_make_matrix, [l1]), + self.exp*hadamard_power(self.base, self.exp-1), + ExprBuilder(_make_matrix, [l2]), + ] + ), + *diagonal], + validator=ArrayDiagonal._validate + ) + i._first_pointer_parent = subexpr.args[0].args[0].args + i._first_pointer_index = 0 + i._first_line_index = 0 + i._second_pointer_parent = subexpr.args[0].args[2].args + i._second_pointer_index = 0 + i._second_line_index = 0 + i._lines = [subexpr] + return lr diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/inverse.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/inverse.py new file mode 100644 index 0000000000000000000000000000000000000000..cfc3feccd7126a761f18f23599eed9413c86a9e5 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/inverse.py @@ -0,0 +1,112 @@ +from sympy.core.sympify import _sympify +from sympy.core import S, Basic + +from sympy.matrices.exceptions import NonSquareMatrixError +from sympy.matrices.expressions.matpow import MatPow + + +class Inverse(MatPow): + """ + The multiplicative inverse of a matrix expression + + This is a symbolic object that simply stores its argument without + evaluating it. To actually compute the inverse, use the ``.inverse()`` + method of matrices. + + Examples + ======== + + >>> from sympy import MatrixSymbol, Inverse + >>> A = MatrixSymbol('A', 3, 3) + >>> B = MatrixSymbol('B', 3, 3) + >>> Inverse(A) + A**(-1) + >>> A.inverse() == Inverse(A) + True + >>> (A*B).inverse() + B**(-1)*A**(-1) + >>> Inverse(A*B) + (A*B)**(-1) + + """ + is_Inverse = True + exp = S.NegativeOne + + def __new__(cls, mat, exp=S.NegativeOne): + # exp is there to make it consistent with + # inverse.func(*inverse.args) == inverse + mat = _sympify(mat) + exp = _sympify(exp) + if not mat.is_Matrix: + raise TypeError("mat should be a matrix") + if mat.is_square is False: + raise NonSquareMatrixError("Inverse of non-square matrix %s" % mat) + return Basic.__new__(cls, mat, exp) + + @property + def arg(self): + return self.args[0] + + @property + def shape(self): + return self.arg.shape + + def _eval_inverse(self): + return self.arg + + def _eval_transpose(self): + return Inverse(self.arg.transpose()) + + def _eval_adjoint(self): + return Inverse(self.arg.adjoint()) + + def _eval_conjugate(self): + return Inverse(self.arg.conjugate()) + + def _eval_determinant(self): + from sympy.matrices.expressions.determinant import det + return 1/det(self.arg) + + def doit(self, **hints): + if 'inv_expand' in hints and hints['inv_expand'] == False: + return self + + arg = self.arg + if hints.get('deep', True): + arg = arg.doit(**hints) + + return arg.inverse() + + def _eval_derivative_matrix_lines(self, x): + arg = self.args[0] + lines = arg._eval_derivative_matrix_lines(x) + for line in lines: + line.first_pointer *= -self.T + line.second_pointer *= self + return lines + + +from sympy.assumptions.ask import ask, Q +from sympy.assumptions.refine import handlers_dict + + +def refine_Inverse(expr, assumptions): + """ + >>> from sympy import MatrixSymbol, Q, assuming, refine + >>> X = MatrixSymbol('X', 2, 2) + >>> X.I + X**(-1) + >>> with assuming(Q.orthogonal(X)): + ... print(refine(X.I)) + X.T + """ + if ask(Q.orthogonal(expr), assumptions): + return expr.arg.T + elif ask(Q.unitary(expr), assumptions): + return expr.arg.conjugate() + elif ask(Q.singular(expr), assumptions): + raise ValueError("Inverse of singular matrix %s" % expr.arg) + + return expr + +handlers_dict['Inverse'] = refine_Inverse diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/kronecker.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/kronecker.py new file mode 100644 index 0000000000000000000000000000000000000000..1dd175cb0d500af3e786e2d0dbf6b010947840b4 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/kronecker.py @@ -0,0 +1,434 @@ +"""Implementation of the Kronecker product""" +from functools import reduce +from math import prod + +from sympy.core import Mul, sympify +from sympy.functions import adjoint +from sympy.matrices.exceptions import ShapeError +from sympy.matrices.expressions.matexpr import MatrixExpr +from sympy.matrices.expressions.transpose import transpose +from sympy.matrices.expressions.special import Identity +from sympy.matrices.matrixbase import MatrixBase +from sympy.strategies import ( + canon, condition, distribute, do_one, exhaust, flatten, typed, unpack) +from sympy.strategies.traverse import bottom_up +from sympy.utilities import sift + +from .matadd import MatAdd +from .matmul import MatMul +from .matpow import MatPow + + +def kronecker_product(*matrices): + """ + The Kronecker product of two or more arguments. + + This computes the explicit Kronecker product for subclasses of + ``MatrixBase`` i.e. explicit matrices. Otherwise, a symbolic + ``KroneckerProduct`` object is returned. + + + Examples + ======== + + For ``MatrixSymbol`` arguments a ``KroneckerProduct`` object is returned. + Elements of this matrix can be obtained by indexing, or for MatrixSymbols + with known dimension the explicit matrix can be obtained with + ``.as_explicit()`` + + >>> from sympy import kronecker_product, MatrixSymbol + >>> A = MatrixSymbol('A', 2, 2) + >>> B = MatrixSymbol('B', 2, 2) + >>> kronecker_product(A) + A + >>> kronecker_product(A, B) + KroneckerProduct(A, B) + >>> kronecker_product(A, B)[0, 1] + A[0, 0]*B[0, 1] + >>> kronecker_product(A, B).as_explicit() + Matrix([ + [A[0, 0]*B[0, 0], A[0, 0]*B[0, 1], A[0, 1]*B[0, 0], A[0, 1]*B[0, 1]], + [A[0, 0]*B[1, 0], A[0, 0]*B[1, 1], A[0, 1]*B[1, 0], A[0, 1]*B[1, 1]], + [A[1, 0]*B[0, 0], A[1, 0]*B[0, 1], A[1, 1]*B[0, 0], A[1, 1]*B[0, 1]], + [A[1, 0]*B[1, 0], A[1, 0]*B[1, 1], A[1, 1]*B[1, 0], A[1, 1]*B[1, 1]]]) + + For explicit matrices the Kronecker product is returned as a Matrix + + >>> from sympy import Matrix, kronecker_product + >>> sigma_x = Matrix([ + ... [0, 1], + ... [1, 0]]) + ... + >>> Isigma_y = Matrix([ + ... [0, 1], + ... [-1, 0]]) + ... + >>> kronecker_product(sigma_x, Isigma_y) + Matrix([ + [ 0, 0, 0, 1], + [ 0, 0, -1, 0], + [ 0, 1, 0, 0], + [-1, 0, 0, 0]]) + + See Also + ======== + KroneckerProduct + + """ + if not matrices: + raise TypeError("Empty Kronecker product is undefined") + if len(matrices) == 1: + return matrices[0] + else: + return KroneckerProduct(*matrices).doit() + + +class KroneckerProduct(MatrixExpr): + """ + The Kronecker product of two or more arguments. + + The Kronecker product is a non-commutative product of matrices. + Given two matrices of dimension (m, n) and (s, t) it produces a matrix + of dimension (m s, n t). + + This is a symbolic object that simply stores its argument without + evaluating it. To actually compute the product, use the function + ``kronecker_product()`` or call the ``.doit()`` or ``.as_explicit()`` + methods. + + >>> from sympy import KroneckerProduct, MatrixSymbol + >>> A = MatrixSymbol('A', 5, 5) + >>> B = MatrixSymbol('B', 5, 5) + >>> isinstance(KroneckerProduct(A, B), KroneckerProduct) + True + """ + is_KroneckerProduct = True + + def __new__(cls, *args, check=True): + args = list(map(sympify, args)) + if all(a.is_Identity for a in args): + ret = Identity(prod(a.rows for a in args)) + if all(isinstance(a, MatrixBase) for a in args): + return ret.as_explicit() + else: + return ret + + if check: + validate(*args) + return super().__new__(cls, *args) + + @property + def shape(self): + rows, cols = self.args[0].shape + for mat in self.args[1:]: + rows *= mat.rows + cols *= mat.cols + return (rows, cols) + + def _entry(self, i, j, **kwargs): + result = 1 + for mat in reversed(self.args): + i, m = divmod(i, mat.rows) + j, n = divmod(j, mat.cols) + result *= mat[m, n] + return result + + def _eval_adjoint(self): + return KroneckerProduct(*list(map(adjoint, self.args))).doit() + + def _eval_conjugate(self): + return KroneckerProduct(*[a.conjugate() for a in self.args]).doit() + + def _eval_transpose(self): + return KroneckerProduct(*list(map(transpose, self.args))).doit() + + def _eval_trace(self): + from .trace import trace + return Mul(*[trace(a) for a in self.args]) + + def _eval_determinant(self): + from .determinant import det, Determinant + if not all(a.is_square for a in self.args): + return Determinant(self) + + m = self.rows + return Mul(*[det(a)**(m/a.rows) for a in self.args]) + + def _eval_inverse(self): + try: + return KroneckerProduct(*[a.inverse() for a in self.args]) + except ShapeError: + from sympy.matrices.expressions.inverse import Inverse + return Inverse(self) + + def structurally_equal(self, other): + '''Determine whether two matrices have the same Kronecker product structure + + Examples + ======== + + >>> from sympy import KroneckerProduct, MatrixSymbol, symbols + >>> m, n = symbols(r'm, n', integer=True) + >>> A = MatrixSymbol('A', m, m) + >>> B = MatrixSymbol('B', n, n) + >>> C = MatrixSymbol('C', m, m) + >>> D = MatrixSymbol('D', n, n) + >>> KroneckerProduct(A, B).structurally_equal(KroneckerProduct(C, D)) + True + >>> KroneckerProduct(A, B).structurally_equal(KroneckerProduct(D, C)) + False + >>> KroneckerProduct(A, B).structurally_equal(C) + False + ''' + # Inspired by BlockMatrix + return (isinstance(other, KroneckerProduct) + and self.shape == other.shape + and len(self.args) == len(other.args) + and all(a.shape == b.shape for (a, b) in zip(self.args, other.args))) + + def has_matching_shape(self, other): + '''Determine whether two matrices have the appropriate structure to bring matrix + multiplication inside the KroneckerProdut + + Examples + ======== + >>> from sympy import KroneckerProduct, MatrixSymbol, symbols + >>> m, n = symbols(r'm, n', integer=True) + >>> A = MatrixSymbol('A', m, n) + >>> B = MatrixSymbol('B', n, m) + >>> KroneckerProduct(A, B).has_matching_shape(KroneckerProduct(B, A)) + True + >>> KroneckerProduct(A, B).has_matching_shape(KroneckerProduct(A, B)) + False + >>> KroneckerProduct(A, B).has_matching_shape(A) + False + ''' + return (isinstance(other, KroneckerProduct) + and self.cols == other.rows + and len(self.args) == len(other.args) + and all(a.cols == b.rows for (a, b) in zip(self.args, other.args))) + + def _eval_expand_kroneckerproduct(self, **hints): + return flatten(canon(typed({KroneckerProduct: distribute(KroneckerProduct, MatAdd)}))(self)) + + def _kronecker_add(self, other): + if self.structurally_equal(other): + return self.__class__(*[a + b for (a, b) in zip(self.args, other.args)]) + else: + return self + other + + def _kronecker_mul(self, other): + if self.has_matching_shape(other): + return self.__class__(*[a*b for (a, b) in zip(self.args, other.args)]) + else: + return self * other + + def doit(self, **hints): + deep = hints.get('deep', True) + if deep: + args = [arg.doit(**hints) for arg in self.args] + else: + args = self.args + return canonicalize(KroneckerProduct(*args)) + + +def validate(*args): + if not all(arg.is_Matrix for arg in args): + raise TypeError("Mix of Matrix and Scalar symbols") + + +# rules + +def extract_commutative(kron): + c_part = [] + nc_part = [] + for arg in kron.args: + c, nc = arg.args_cnc() + c_part.extend(c) + nc_part.append(Mul._from_args(nc)) + + c_part = Mul(*c_part) + if c_part != 1: + return c_part*KroneckerProduct(*nc_part) + return kron + + +def matrix_kronecker_product(*matrices): + """Compute the Kronecker product of a sequence of SymPy Matrices. + + This is the standard Kronecker product of matrices [1]. + + Parameters + ========== + + matrices : tuple of MatrixBase instances + The matrices to take the Kronecker product of. + + Returns + ======= + + matrix : MatrixBase + The Kronecker product matrix. + + Examples + ======== + + >>> from sympy import Matrix + >>> from sympy.matrices.expressions.kronecker import ( + ... matrix_kronecker_product) + + >>> m1 = Matrix([[1,2],[3,4]]) + >>> m2 = Matrix([[1,0],[0,1]]) + >>> matrix_kronecker_product(m1, m2) + Matrix([ + [1, 0, 2, 0], + [0, 1, 0, 2], + [3, 0, 4, 0], + [0, 3, 0, 4]]) + >>> matrix_kronecker_product(m2, m1) + Matrix([ + [1, 2, 0, 0], + [3, 4, 0, 0], + [0, 0, 1, 2], + [0, 0, 3, 4]]) + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Kronecker_product + """ + # Make sure we have a sequence of Matrices + if not all(isinstance(m, MatrixBase) for m in matrices): + raise TypeError( + 'Sequence of Matrices expected, got: %s' % repr(matrices) + ) + + # Pull out the first element in the product. + matrix_expansion = matrices[-1] + # Do the kronecker product working from right to left. + for mat in reversed(matrices[:-1]): + rows = mat.rows + cols = mat.cols + # Go through each row appending kronecker product to. + # running matrix_expansion. + for i in range(rows): + start = matrix_expansion*mat[i*cols] + # Go through each column joining each item + for j in range(cols - 1): + start = start.row_join( + matrix_expansion*mat[i*cols + j + 1] + ) + # If this is the first element, make it the start of the + # new row. + if i == 0: + next = start + else: + next = next.col_join(start) + matrix_expansion = next + + MatrixClass = max(matrices, key=lambda M: M._class_priority).__class__ + if isinstance(matrix_expansion, MatrixClass): + return matrix_expansion + else: + return MatrixClass(matrix_expansion) + + +def explicit_kronecker_product(kron): + # Make sure we have a sequence of Matrices + if not all(isinstance(m, MatrixBase) for m in kron.args): + return kron + + return matrix_kronecker_product(*kron.args) + + +rules = (unpack, + explicit_kronecker_product, + flatten, + extract_commutative) + +canonicalize = exhaust(condition(lambda x: isinstance(x, KroneckerProduct), + do_one(*rules))) + + +def _kronecker_dims_key(expr): + if isinstance(expr, KroneckerProduct): + return tuple(a.shape for a in expr.args) + else: + return (0,) + + +def kronecker_mat_add(expr): + args = sift(expr.args, _kronecker_dims_key) + nonkrons = args.pop((0,), None) + if not args: + return expr + + krons = [reduce(lambda x, y: x._kronecker_add(y), group) + for group in args.values()] + + if not nonkrons: + return MatAdd(*krons) + else: + return MatAdd(*krons) + nonkrons + + +def kronecker_mat_mul(expr): + # modified from block matrix code + factor, matrices = expr.as_coeff_matrices() + + i = 0 + while i < len(matrices) - 1: + A, B = matrices[i:i+2] + if isinstance(A, KroneckerProduct) and isinstance(B, KroneckerProduct): + matrices[i] = A._kronecker_mul(B) + matrices.pop(i+1) + else: + i += 1 + + return factor*MatMul(*matrices) + + +def kronecker_mat_pow(expr): + if isinstance(expr.base, KroneckerProduct) and all(a.is_square for a in expr.base.args): + return KroneckerProduct(*[MatPow(a, expr.exp) for a in expr.base.args]) + else: + return expr + + +def combine_kronecker(expr): + """Combine KronekeckerProduct with expression. + + If possible write operations on KroneckerProducts of compatible shapes + as a single KroneckerProduct. + + Examples + ======== + + >>> from sympy.matrices.expressions import combine_kronecker + >>> from sympy import MatrixSymbol, KroneckerProduct, symbols + >>> m, n = symbols(r'm, n', integer=True) + >>> A = MatrixSymbol('A', m, n) + >>> B = MatrixSymbol('B', n, m) + >>> combine_kronecker(KroneckerProduct(A, B)*KroneckerProduct(B, A)) + KroneckerProduct(A*B, B*A) + >>> combine_kronecker(KroneckerProduct(A, B)+KroneckerProduct(B.T, A.T)) + KroneckerProduct(A + B.T, B + A.T) + >>> C = MatrixSymbol('C', n, n) + >>> D = MatrixSymbol('D', m, m) + >>> combine_kronecker(KroneckerProduct(C, D)**m) + KroneckerProduct(C**m, D**m) + """ + def haskron(expr): + return isinstance(expr, MatrixExpr) and expr.has(KroneckerProduct) + + rule = exhaust( + bottom_up(exhaust(condition(haskron, typed( + {MatAdd: kronecker_mat_add, + MatMul: kronecker_mat_mul, + MatPow: kronecker_mat_pow}))))) + result = rule(expr) + doit = getattr(result, 'doit', None) + if doit is not None: + return doit() + else: + return result diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/matadd.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/matadd.py new file mode 100644 index 0000000000000000000000000000000000000000..cfae1e5010e4077c7210c85c4315ed2404f245d7 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/matadd.py @@ -0,0 +1,155 @@ +from functools import reduce +import operator + +from sympy.core import Basic, sympify +from sympy.core.add import add, Add, _could_extract_minus_sign +from sympy.core.sorting import default_sort_key +from sympy.functions import adjoint +from sympy.matrices.matrixbase import MatrixBase +from sympy.matrices.expressions.transpose import transpose +from sympy.strategies import (rm_id, unpack, flatten, sort, condition, + exhaust, do_one, glom) +from sympy.matrices.expressions.matexpr import MatrixExpr +from sympy.matrices.expressions.special import ZeroMatrix, GenericZeroMatrix +from sympy.matrices.expressions._shape import validate_matadd_integer as validate +from sympy.utilities.iterables import sift +from sympy.utilities.exceptions import sympy_deprecation_warning + +# XXX: MatAdd should perhaps not subclass directly from Add +class MatAdd(MatrixExpr, Add): + """A Sum of Matrix Expressions + + MatAdd inherits from and operates like SymPy Add + + Examples + ======== + + >>> from sympy import MatAdd, MatrixSymbol + >>> A = MatrixSymbol('A', 5, 5) + >>> B = MatrixSymbol('B', 5, 5) + >>> C = MatrixSymbol('C', 5, 5) + >>> MatAdd(A, B, C) + A + B + C + """ + is_MatAdd = True + + identity = GenericZeroMatrix() + + def __new__(cls, *args, evaluate=False, check=None, _sympify=True): + if not args: + return cls.identity + + # This must be removed aggressively in the constructor to avoid + # TypeErrors from GenericZeroMatrix().shape + args = list(filter(lambda i: cls.identity != i, args)) + if _sympify: + args = list(map(sympify, args)) + + if not all(isinstance(arg, MatrixExpr) for arg in args): + raise TypeError("Mix of Matrix and Scalar symbols") + + obj = Basic.__new__(cls, *args) + + if check is not None: + sympy_deprecation_warning( + "Passing check to MatAdd is deprecated and the check argument will be removed in a future version.", + deprecated_since_version="1.11", + active_deprecations_target='remove-check-argument-from-matrix-operations') + + if check is not False: + validate(*args) + + if evaluate: + obj = cls._evaluate(obj) + + return obj + + @classmethod + def _evaluate(cls, expr): + return canonicalize(expr) + + @property + def shape(self): + return self.args[0].shape + + def could_extract_minus_sign(self): + return _could_extract_minus_sign(self) + + def expand(self, **kwargs): + expanded = super(MatAdd, self).expand(**kwargs) + return self._evaluate(expanded) + + def _entry(self, i, j, **kwargs): + return Add(*[arg._entry(i, j, **kwargs) for arg in self.args]) + + def _eval_transpose(self): + return MatAdd(*[transpose(arg) for arg in self.args]).doit() + + def _eval_adjoint(self): + return MatAdd(*[adjoint(arg) for arg in self.args]).doit() + + def _eval_trace(self): + from .trace import trace + return Add(*[trace(arg) for arg in self.args]).doit() + + def doit(self, **hints): + deep = hints.get('deep', True) + if deep: + args = [arg.doit(**hints) for arg in self.args] + else: + args = self.args + return canonicalize(MatAdd(*args)) + + def _eval_derivative_matrix_lines(self, x): + add_lines = [arg._eval_derivative_matrix_lines(x) for arg in self.args] + return [j for i in add_lines for j in i] + +add.register_handlerclass((Add, MatAdd), MatAdd) + + +factor_of = lambda arg: arg.as_coeff_mmul()[0] +matrix_of = lambda arg: unpack(arg.as_coeff_mmul()[1]) +def combine(cnt, mat): + if cnt == 1: + return mat + else: + return cnt * mat + + +def merge_explicit(matadd): + """ Merge explicit MatrixBase arguments + + Examples + ======== + + >>> from sympy import MatrixSymbol, eye, Matrix, MatAdd, pprint + >>> from sympy.matrices.expressions.matadd import merge_explicit + >>> A = MatrixSymbol('A', 2, 2) + >>> B = eye(2) + >>> C = Matrix([[1, 2], [3, 4]]) + >>> X = MatAdd(A, B, C) + >>> pprint(X) + [1 0] [1 2] + A + [ ] + [ ] + [0 1] [3 4] + >>> pprint(merge_explicit(X)) + [2 2] + A + [ ] + [3 5] + """ + groups = sift(matadd.args, lambda arg: isinstance(arg, MatrixBase)) + if len(groups[True]) > 1: + return MatAdd(*(groups[False] + [reduce(operator.add, groups[True])])) + else: + return matadd + + +rules = (rm_id(lambda x: x == 0 or isinstance(x, ZeroMatrix)), + unpack, + flatten, + glom(matrix_of, factor_of, combine), + merge_explicit, + sort(default_sort_key)) + +canonicalize = exhaust(condition(lambda x: isinstance(x, MatAdd), + do_one(*rules))) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/matexpr.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/matexpr.py new file mode 100644 index 0000000000000000000000000000000000000000..a4e99296ccfcbdac5e09a86ecee020adf9831c73 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/matexpr.py @@ -0,0 +1,888 @@ +from __future__ import annotations +from functools import wraps + +from sympy.core import S, Integer, Basic, Mul, Add +from sympy.core.assumptions import check_assumptions +from sympy.core.decorators import call_highest_priority +from sympy.core.expr import Expr, ExprBuilder +from sympy.core.logic import FuzzyBool +from sympy.core.symbol import Str, Dummy, symbols, Symbol +from sympy.core.sympify import SympifyError, _sympify +from sympy.external.gmpy import SYMPY_INTS +from sympy.functions import conjugate, adjoint +from sympy.functions.special.tensor_functions import KroneckerDelta +from sympy.matrices.exceptions import NonSquareMatrixError +from sympy.matrices.kind import MatrixKind +from sympy.matrices.matrixbase import MatrixBase +from sympy.multipledispatch import dispatch +from sympy.utilities.misc import filldedent + + +def _sympifyit(arg, retval=None): + # This version of _sympifyit sympifies MutableMatrix objects + def deco(func): + @wraps(func) + def __sympifyit_wrapper(a, b): + try: + b = _sympify(b) + return func(a, b) + except SympifyError: + return retval + + return __sympifyit_wrapper + + return deco + + +class MatrixExpr(Expr): + """Superclass for Matrix Expressions + + MatrixExprs represent abstract matrices, linear transformations represented + within a particular basis. + + Examples + ======== + + >>> from sympy import MatrixSymbol + >>> A = MatrixSymbol('A', 3, 3) + >>> y = MatrixSymbol('y', 3, 1) + >>> x = (A.T*A).I * A * y + + See Also + ======== + + MatrixSymbol, MatAdd, MatMul, Transpose, Inverse + """ + __slots__: tuple[str, ...] = () + + # Should not be considered iterable by the + # sympy.utilities.iterables.iterable function. Subclass that actually are + # iterable (i.e., explicit matrices) should set this to True. + _iterable = False + + _op_priority = 11.0 + + is_Matrix: bool = True + is_MatrixExpr: bool = True + is_Identity: FuzzyBool = None + is_Inverse = False + is_Transpose = False + is_ZeroMatrix = False + is_MatAdd = False + is_MatMul = False + + is_commutative = False + is_number = False + is_symbol = False + is_scalar = False + + kind: MatrixKind = MatrixKind() + + def __new__(cls, *args, **kwargs): + args = map(_sympify, args) + return Basic.__new__(cls, *args, **kwargs) + + # The following is adapted from the core Expr object + + @property + def shape(self) -> tuple[Expr, Expr]: + raise NotImplementedError + + @property + def _add_handler(self): + return MatAdd + + @property + def _mul_handler(self): + return MatMul + + def __neg__(self): + return MatMul(S.NegativeOne, self).doit() + + def __abs__(self): + raise NotImplementedError + + @_sympifyit('other', NotImplemented) + @call_highest_priority('__radd__') + def __add__(self, other): + return MatAdd(self, other).doit() + + @_sympifyit('other', NotImplemented) + @call_highest_priority('__add__') + def __radd__(self, other): + return MatAdd(other, self).doit() + + @_sympifyit('other', NotImplemented) + @call_highest_priority('__rsub__') + def __sub__(self, other): + return MatAdd(self, -other).doit() + + @_sympifyit('other', NotImplemented) + @call_highest_priority('__sub__') + def __rsub__(self, other): + return MatAdd(other, -self).doit() + + @_sympifyit('other', NotImplemented) + @call_highest_priority('__rmul__') + def __mul__(self, other): + return MatMul(self, other).doit() + + @_sympifyit('other', NotImplemented) + @call_highest_priority('__rmul__') + def __matmul__(self, other): + return MatMul(self, other).doit() + + @_sympifyit('other', NotImplemented) + @call_highest_priority('__mul__') + def __rmul__(self, other): + return MatMul(other, self).doit() + + @_sympifyit('other', NotImplemented) + @call_highest_priority('__mul__') + def __rmatmul__(self, other): + return MatMul(other, self).doit() + + @_sympifyit('other', NotImplemented) + @call_highest_priority('__rpow__') + def __pow__(self, other): + return MatPow(self, other).doit() + + @_sympifyit('other', NotImplemented) + @call_highest_priority('__pow__') + def __rpow__(self, other): + raise NotImplementedError("Matrix Power not defined") + + @_sympifyit('other', NotImplemented) + @call_highest_priority('__rtruediv__') + def __truediv__(self, other): + return self * other**S.NegativeOne + + @_sympifyit('other', NotImplemented) + @call_highest_priority('__truediv__') + def __rtruediv__(self, other): + raise NotImplementedError() + #return MatMul(other, Pow(self, S.NegativeOne)) + + @property + def rows(self): + return self.shape[0] + + @property + def cols(self): + return self.shape[1] + + @property + def is_square(self) -> bool | None: + rows, cols = self.shape + if isinstance(rows, Integer) and isinstance(cols, Integer): + return rows == cols + if rows == cols: + return True + return None + + def _eval_conjugate(self): + from sympy.matrices.expressions.adjoint import Adjoint + return Adjoint(Transpose(self)) + + def as_real_imag(self, deep=True, **hints): + return self._eval_as_real_imag() + + def _eval_as_real_imag(self): + real = S.Half * (self + self._eval_conjugate()) + im = (self - self._eval_conjugate())/(2*S.ImaginaryUnit) + return (real, im) + + def _eval_inverse(self): + return Inverse(self) + + def _eval_determinant(self): + return Determinant(self) + + def _eval_transpose(self): + return Transpose(self) + + def _eval_trace(self): + return None + + def _eval_power(self, exp): + """ + Override this in sub-classes to implement simplification of powers. The cases where the exponent + is -1, 0, 1 are already covered in MatPow.doit(), so implementations can exclude these cases. + """ + return MatPow(self, exp) + + def _eval_simplify(self, **kwargs): + if self.is_Atom: + return self + else: + from sympy.simplify import simplify + return self.func(*[simplify(x, **kwargs) for x in self.args]) + + def _eval_adjoint(self): + from sympy.matrices.expressions.adjoint import Adjoint + return Adjoint(self) + + def _eval_derivative_n_times(self, x, n): + return Basic._eval_derivative_n_times(self, x, n) + + def _eval_derivative(self, x): + # `x` is a scalar: + if self.has(x): + # See if there are other methods using it: + return super()._eval_derivative(x) + else: + return ZeroMatrix(*self.shape) + + @classmethod + def _check_dim(cls, dim): + """Helper function to check invalid matrix dimensions""" + ok = not dim.is_Float and check_assumptions( + dim, integer=True, nonnegative=True) + if ok is False: + raise ValueError( + "The dimension specification {} should be " + "a nonnegative integer.".format(dim)) + + + def _entry(self, i, j, **kwargs): + raise NotImplementedError( + "Indexing not implemented for %s" % self.__class__.__name__) + + def adjoint(self): + return adjoint(self) + + def as_coeff_Mul(self, rational=False): + """Efficiently extract the coefficient of a product.""" + return S.One, self + + def conjugate(self): + return conjugate(self) + + def transpose(self): + from sympy.matrices.expressions.transpose import transpose + return transpose(self) + + @property + def T(self): + '''Matrix transposition''' + return self.transpose() + + def inverse(self): + if self.is_square is False: + raise NonSquareMatrixError('Inverse of non-square matrix') + return self._eval_inverse() + + def inv(self): + return self.inverse() + + def det(self): + from sympy.matrices.expressions.determinant import det + return det(self) + + @property + def I(self): + return self.inverse() + + def valid_index(self, i, j): + def is_valid(idx): + return isinstance(idx, (int, Integer, Symbol, Expr)) + return (is_valid(i) and is_valid(j) and + (self.rows is None or + (i >= -self.rows) != False and (i < self.rows) != False) and + (j >= -self.cols) != False and (j < self.cols) != False) + + def __getitem__(self, key): + if not isinstance(key, tuple) and isinstance(key, slice): + from sympy.matrices.expressions.slice import MatrixSlice + return MatrixSlice(self, key, (0, None, 1)) + if isinstance(key, tuple) and len(key) == 2: + i, j = key + if isinstance(i, slice) or isinstance(j, slice): + from sympy.matrices.expressions.slice import MatrixSlice + return MatrixSlice(self, i, j) + i, j = _sympify(i), _sympify(j) + if self.valid_index(i, j) != False: + return self._entry(i, j) + else: + raise IndexError("Invalid indices (%s, %s)" % (i, j)) + elif isinstance(key, (SYMPY_INTS, Integer)): + # row-wise decomposition of matrix + rows, cols = self.shape + # allow single indexing if number of columns is known + if not isinstance(cols, Integer): + raise IndexError(filldedent(''' + Single indexing is only supported when the number + of columns is known.''')) + key = _sympify(key) + i = key // cols + j = key % cols + if self.valid_index(i, j) != False: + return self._entry(i, j) + else: + raise IndexError("Invalid index %s" % key) + elif isinstance(key, (Symbol, Expr)): + raise IndexError(filldedent(''' + Only integers may be used when addressing the matrix + with a single index.''')) + raise IndexError("Invalid index, wanted %s[i,j]" % self) + + def _is_shape_symbolic(self) -> bool: + return (not isinstance(self.rows, (SYMPY_INTS, Integer)) + or not isinstance(self.cols, (SYMPY_INTS, Integer))) + + def as_explicit(self): + """ + Returns a dense Matrix with elements represented explicitly + + Returns an object of type ImmutableDenseMatrix. + + Examples + ======== + + >>> from sympy import Identity + >>> I = Identity(3) + >>> I + I + >>> I.as_explicit() + Matrix([ + [1, 0, 0], + [0, 1, 0], + [0, 0, 1]]) + + See Also + ======== + as_mutable: returns mutable Matrix type + + """ + if self._is_shape_symbolic(): + raise ValueError( + 'Matrix with symbolic shape ' + 'cannot be represented explicitly.') + from sympy.matrices.immutable import ImmutableDenseMatrix + return ImmutableDenseMatrix([[self[i, j] + for j in range(self.cols)] + for i in range(self.rows)]) + + def as_mutable(self): + """ + Returns a dense, mutable matrix with elements represented explicitly + + Examples + ======== + + >>> from sympy import Identity + >>> I = Identity(3) + >>> I + I + >>> I.shape + (3, 3) + >>> I.as_mutable() + Matrix([ + [1, 0, 0], + [0, 1, 0], + [0, 0, 1]]) + + See Also + ======== + as_explicit: returns ImmutableDenseMatrix + """ + return self.as_explicit().as_mutable() + + def __array__(self, dtype=object, copy=None): + if copy is not None and not copy: + raise TypeError("Cannot implement copy=False when converting Matrix to ndarray") + from numpy import empty + a = empty(self.shape, dtype=object) + for i in range(self.rows): + for j in range(self.cols): + a[i, j] = self[i, j] + return a + + def equals(self, other): + """ + Test elementwise equality between matrices, potentially of different + types + + >>> from sympy import Identity, eye + >>> Identity(3).equals(eye(3)) + True + """ + return self.as_explicit().equals(other) + + def canonicalize(self): + return self + + def as_coeff_mmul(self): + return S.One, MatMul(self) + + @staticmethod + def from_index_summation(expr, first_index=None, last_index=None, dimensions=None): + r""" + Parse expression of matrices with explicitly summed indices into a + matrix expression without indices, if possible. + + This transformation expressed in mathematical notation: + + `\sum_{j=0}^{N-1} A_{i,j} B_{j,k} \Longrightarrow \mathbf{A}\cdot \mathbf{B}` + + Optional parameter ``first_index``: specify which free index to use as + the index starting the expression. + + Examples + ======== + + >>> from sympy import MatrixSymbol, MatrixExpr, Sum + >>> from sympy.abc import i, j, k, l, N + >>> A = MatrixSymbol("A", N, N) + >>> B = MatrixSymbol("B", N, N) + >>> expr = Sum(A[i, j]*B[j, k], (j, 0, N-1)) + >>> MatrixExpr.from_index_summation(expr) + A*B + + Transposition is detected: + + >>> expr = Sum(A[j, i]*B[j, k], (j, 0, N-1)) + >>> MatrixExpr.from_index_summation(expr) + A.T*B + + Detect the trace: + + >>> expr = Sum(A[i, i], (i, 0, N-1)) + >>> MatrixExpr.from_index_summation(expr) + Trace(A) + + More complicated expressions: + + >>> expr = Sum(A[i, j]*B[k, j]*A[l, k], (j, 0, N-1), (k, 0, N-1)) + >>> MatrixExpr.from_index_summation(expr) + A*B.T*A.T + """ + from sympy.tensor.array.expressions.from_indexed_to_array import convert_indexed_to_array + from sympy.tensor.array.expressions.from_array_to_matrix import convert_array_to_matrix + first_indices = [] + if first_index is not None: + first_indices.append(first_index) + if last_index is not None: + first_indices.append(last_index) + arr = convert_indexed_to_array(expr, first_indices=first_indices) + return convert_array_to_matrix(arr) + + def applyfunc(self, func): + from .applyfunc import ElementwiseApplyFunction + return ElementwiseApplyFunction(func, self) + + +@dispatch(MatrixExpr, Expr) +def _eval_is_eq(lhs, rhs): # noqa:F811 + return False + +@dispatch(MatrixExpr, MatrixExpr) # type: ignore +def _eval_is_eq(lhs, rhs): # noqa:F811 + if lhs.shape != rhs.shape: + return False + if (lhs - rhs).is_ZeroMatrix: + return True + +def get_postprocessor(cls): + def _postprocessor(expr): + # To avoid circular imports, we can't have MatMul/MatAdd on the top level + mat_class = {Mul: MatMul, Add: MatAdd}[cls] + nonmatrices = [] + matrices = [] + for term in expr.args: + if isinstance(term, MatrixExpr): + matrices.append(term) + else: + nonmatrices.append(term) + + if not matrices: + return cls._from_args(nonmatrices) + + if nonmatrices: + if cls == Mul: + for i in range(len(matrices)): + if not matrices[i].is_MatrixExpr: + # If one of the matrices explicit, absorb the scalar into it + # (doit will combine all explicit matrices into one, so it + # doesn't matter which) + matrices[i] = matrices[i].__mul__(cls._from_args(nonmatrices)) + nonmatrices = [] + break + + else: + # Maintain the ability to create Add(scalar, matrix) without + # raising an exception. That way different algorithms can + # replace matrix expressions with non-commutative symbols to + # manipulate them like non-commutative scalars. + return cls._from_args(nonmatrices + [mat_class(*matrices).doit(deep=False)]) + + if mat_class == MatAdd: + return mat_class(*matrices).doit(deep=False) + return mat_class(cls._from_args(nonmatrices), *matrices).doit(deep=False) + return _postprocessor + + +Basic._constructor_postprocessor_mapping[MatrixExpr] = { + "Mul": [get_postprocessor(Mul)], + "Add": [get_postprocessor(Add)], +} + + +def _matrix_derivative(expr, x, old_algorithm=False): + + if isinstance(expr, MatrixBase) or isinstance(x, MatrixBase): + # Do not use array expressions for explicit matrices: + old_algorithm = True + + if old_algorithm: + return _matrix_derivative_old_algorithm(expr, x) + + from sympy.tensor.array.expressions.from_matrix_to_array import convert_matrix_to_array + from sympy.tensor.array.expressions.arrayexpr_derivatives import array_derive + from sympy.tensor.array.expressions.from_array_to_matrix import convert_array_to_matrix + + array_expr = convert_matrix_to_array(expr) + diff_array_expr = array_derive(array_expr, x) + diff_matrix_expr = convert_array_to_matrix(diff_array_expr) + return diff_matrix_expr + + +def _matrix_derivative_old_algorithm(expr, x): + from sympy.tensor.array.array_derivatives import ArrayDerivative + lines = expr._eval_derivative_matrix_lines(x) + + parts = [i.build() for i in lines] + + from sympy.tensor.array.expressions.from_array_to_matrix import convert_array_to_matrix + + parts = [[convert_array_to_matrix(j) for j in i] for i in parts] + + def _get_shape(elem): + if isinstance(elem, MatrixExpr): + return elem.shape + return 1, 1 + + def get_rank(parts): + return sum(j not in (1, None) for i in parts for j in _get_shape(i)) + + ranks = [get_rank(i) for i in parts] + rank = ranks[0] + + def contract_one_dims(parts): + if len(parts) == 1: + return parts[0] + else: + p1, p2 = parts[:2] + if p2.is_Matrix: + p2 = p2.T + if p1 == Identity(1): + pbase = p2 + elif p2 == Identity(1): + pbase = p1 + else: + pbase = p1*p2 + if len(parts) == 2: + return pbase + else: # len(parts) > 2 + if pbase.is_Matrix: + raise ValueError("") + return pbase*Mul.fromiter(parts[2:]) + + if rank <= 2: + return Add.fromiter([contract_one_dims(i) for i in parts]) + + return ArrayDerivative(expr, x) + + +class MatrixElement(Expr): + parent = property(lambda self: self.args[0]) + i = property(lambda self: self.args[1]) + j = property(lambda self: self.args[2]) + _diff_wrt = True + is_symbol = True + is_commutative = True + + def __new__(cls, name, n, m): + n, m = map(_sympify, (n, m)) + if isinstance(name, str): + name = Symbol(name) + else: + if isinstance(name, MatrixBase): + if n.is_Integer and m.is_Integer: + return name[n, m] + name = _sympify(name) # change mutable into immutable + else: + name = _sympify(name) + if not isinstance(name.kind, MatrixKind): + raise TypeError("First argument of MatrixElement should be a matrix") + if not getattr(name, 'valid_index', lambda n, m: True)(n, m): + raise IndexError('indices out of range') + obj = Expr.__new__(cls, name, n, m) + return obj + + @property + def symbol(self): + return self.args[0] + + def doit(self, **hints): + deep = hints.get('deep', True) + if deep: + args = [arg.doit(**hints) for arg in self.args] + else: + args = self.args + return args[0][args[1], args[2]] + + @property + def indices(self): + return self.args[1:] + + def _eval_derivative(self, v): + + if not isinstance(v, MatrixElement): + return self.parent.diff(v)[self.i, self.j] + + M = self.args[0] + + m, n = self.parent.shape + + if M == v.args[0]: + return KroneckerDelta(self.args[1], v.args[1], (0, m-1)) * \ + KroneckerDelta(self.args[2], v.args[2], (0, n-1)) + + if isinstance(M, Inverse): + from sympy.concrete.summations import Sum + i, j = self.args[1:] + i1, i2 = symbols("z1, z2", cls=Dummy) + Y = M.args[0] + r1, r2 = Y.shape + return -Sum(M[i, i1]*Y[i1, i2].diff(v)*M[i2, j], (i1, 0, r1-1), (i2, 0, r2-1)) + + if self.has(v.args[0]): + return None + + return S.Zero + + +class MatrixSymbol(MatrixExpr): + """Symbolic representation of a Matrix object + + Creates a SymPy Symbol to represent a Matrix. This matrix has a shape and + can be included in Matrix Expressions + + Examples + ======== + + >>> from sympy import MatrixSymbol, Identity + >>> A = MatrixSymbol('A', 3, 4) # A 3 by 4 Matrix + >>> B = MatrixSymbol('B', 4, 3) # A 4 by 3 Matrix + >>> A.shape + (3, 4) + >>> 2*A*B + Identity(3) + I + 2*A*B + """ + is_commutative = False + is_symbol = True + _diff_wrt = True + + def __new__(cls, name, n, m): + n, m = _sympify(n), _sympify(m) + + cls._check_dim(m) + cls._check_dim(n) + + if isinstance(name, str): + name = Str(name) + obj = Basic.__new__(cls, name, n, m) + return obj + + @property + def shape(self): + return self.args[1], self.args[2] + + @property + def name(self): + return self.args[0].name + + def _entry(self, i, j, **kwargs): + return MatrixElement(self, i, j) + + @property + def free_symbols(self): + return {self} + + def _eval_simplify(self, **kwargs): + return self + + def _eval_derivative(self, x): + # x is a scalar: + return ZeroMatrix(self.shape[0], self.shape[1]) + + def _eval_derivative_matrix_lines(self, x): + if self != x: + first = ZeroMatrix(x.shape[0], self.shape[0]) if self.shape[0] != 1 else S.Zero + second = ZeroMatrix(x.shape[1], self.shape[1]) if self.shape[1] != 1 else S.Zero + return [_LeftRightArgs( + [first, second], + )] + else: + first = Identity(self.shape[0]) if self.shape[0] != 1 else S.One + second = Identity(self.shape[1]) if self.shape[1] != 1 else S.One + return [_LeftRightArgs( + [first, second], + )] + + +def matrix_symbols(expr): + return [sym for sym in expr.free_symbols if sym.is_Matrix] + + +class _LeftRightArgs: + r""" + Helper class to compute matrix derivatives. + + The logic: when an expression is derived by a matrix `X_{mn}`, two lines of + matrix multiplications are created: the one contracted to `m` (first line), + and the one contracted to `n` (second line). + + Transposition flips the side by which new matrices are connected to the + lines. + + The trace connects the end of the two lines. + """ + + def __init__(self, lines, higher=S.One): + self._lines = list(lines) + self._first_pointer_parent = self._lines + self._first_pointer_index = 0 + self._first_line_index = 0 + self._second_pointer_parent = self._lines + self._second_pointer_index = 1 + self._second_line_index = 1 + self.higher = higher + + @property + def first_pointer(self): + return self._first_pointer_parent[self._first_pointer_index] + + @first_pointer.setter + def first_pointer(self, value): + self._first_pointer_parent[self._first_pointer_index] = value + + @property + def second_pointer(self): + return self._second_pointer_parent[self._second_pointer_index] + + @second_pointer.setter + def second_pointer(self, value): + self._second_pointer_parent[self._second_pointer_index] = value + + def __repr__(self): + built = [self._build(i) for i in self._lines] + return "_LeftRightArgs(lines=%s, higher=%s)" % ( + built, + self.higher, + ) + + def transpose(self): + self._first_pointer_parent, self._second_pointer_parent = self._second_pointer_parent, self._first_pointer_parent + self._first_pointer_index, self._second_pointer_index = self._second_pointer_index, self._first_pointer_index + self._first_line_index, self._second_line_index = self._second_line_index, self._first_line_index + return self + + @staticmethod + def _build(expr): + if isinstance(expr, ExprBuilder): + return expr.build() + if isinstance(expr, list): + if len(expr) == 1: + return expr[0] + else: + return expr[0](*[_LeftRightArgs._build(i) for i in expr[1]]) + else: + return expr + + def build(self): + data = [self._build(i) for i in self._lines] + if self.higher != 1: + data += [self._build(self.higher)] + data = list(data) + return data + + def matrix_form(self): + if self.first != 1 and self.higher != 1: + raise ValueError("higher dimensional array cannot be represented") + + def _get_shape(elem): + if isinstance(elem, MatrixExpr): + return elem.shape + return (None, None) + + if _get_shape(self.first)[1] != _get_shape(self.second)[1]: + # Remove one-dimensional identity matrices: + # (this is needed by `a.diff(a)` where `a` is a vector) + if _get_shape(self.second) == (1, 1): + return self.first*self.second[0, 0] + if _get_shape(self.first) == (1, 1): + return self.first[1, 1]*self.second.T + raise ValueError("incompatible shapes") + if self.first != 1: + return self.first*self.second.T + else: + return self.higher + + def rank(self): + """ + Number of dimensions different from trivial (warning: not related to + matrix rank). + """ + rank = 0 + if self.first != 1: + rank += sum(i != 1 for i in self.first.shape) + if self.second != 1: + rank += sum(i != 1 for i in self.second.shape) + if self.higher != 1: + rank += 2 + return rank + + def _multiply_pointer(self, pointer, other): + from ...tensor.array.expressions.array_expressions import ArrayTensorProduct + from ...tensor.array.expressions.array_expressions import ArrayContraction + + subexpr = ExprBuilder( + ArrayContraction, + [ + ExprBuilder( + ArrayTensorProduct, + [ + pointer, + other + ] + ), + (1, 2) + ], + validator=ArrayContraction._validate + ) + + return subexpr + + def append_first(self, other): + self.first_pointer *= other + + def append_second(self, other): + self.second_pointer *= other + + +def _make_matrix(x): + from sympy.matrices.immutable import ImmutableDenseMatrix + if isinstance(x, MatrixExpr): + return x + return ImmutableDenseMatrix([[x]]) + + +from .matmul import MatMul +from .matadd import MatAdd +from .matpow import MatPow +from .transpose import Transpose +from .inverse import Inverse +from .special import ZeroMatrix, Identity +from .determinant import Determinant diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/matmul.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/matmul.py new file mode 100644 index 0000000000000000000000000000000000000000..1c46f7ff5251d89793423f92ea02d7243601de3f --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/matmul.py @@ -0,0 +1,496 @@ +from sympy.assumptions.ask import ask, Q +from sympy.assumptions.refine import handlers_dict +from sympy.core import Basic, sympify, S +from sympy.core.mul import mul, Mul +from sympy.core.numbers import Number, Integer +from sympy.core.symbol import Dummy +from sympy.functions import adjoint +from sympy.strategies import (rm_id, unpack, typed, flatten, exhaust, + do_one, new) +from sympy.matrices.exceptions import NonInvertibleMatrixError +from sympy.matrices.matrixbase import MatrixBase +from sympy.utilities.exceptions import sympy_deprecation_warning +from sympy.matrices.expressions._shape import validate_matmul_integer as validate + +from .inverse import Inverse +from .matexpr import MatrixExpr +from .matpow import MatPow +from .transpose import transpose +from .permutation import PermutationMatrix +from .special import ZeroMatrix, Identity, GenericIdentity, OneMatrix + + +# XXX: MatMul should perhaps not subclass directly from Mul +class MatMul(MatrixExpr, Mul): + """ + A product of matrix expressions + + Examples + ======== + + >>> from sympy import MatMul, MatrixSymbol + >>> A = MatrixSymbol('A', 5, 4) + >>> B = MatrixSymbol('B', 4, 3) + >>> C = MatrixSymbol('C', 3, 6) + >>> MatMul(A, B, C) + A*B*C + """ + is_MatMul = True + + identity = GenericIdentity() + + def __new__(cls, *args, evaluate=False, check=None, _sympify=True): + if not args: + return cls.identity + + # This must be removed aggressively in the constructor to avoid + # TypeErrors from GenericIdentity().shape + args = list(filter(lambda i: cls.identity != i, args)) + if _sympify: + args = list(map(sympify, args)) + obj = Basic.__new__(cls, *args) + factor, matrices = obj.as_coeff_matrices() + + if check is not None: + sympy_deprecation_warning( + "Passing check to MatMul is deprecated and the check argument will be removed in a future version.", + deprecated_since_version="1.11", + active_deprecations_target='remove-check-argument-from-matrix-operations') + + if check is not False: + validate(*matrices) + + if not matrices: + # Should it be + # + # return Basic.__neq__(cls, factor, GenericIdentity()) ? + return factor + + if evaluate: + return cls._evaluate(obj) + + return obj + + @classmethod + def _evaluate(cls, expr): + return canonicalize(expr) + + @property + def shape(self): + matrices = [arg for arg in self.args if arg.is_Matrix] + return (matrices[0].rows, matrices[-1].cols) + + def _entry(self, i, j, expand=True, **kwargs): + # Avoid cyclic imports + from sympy.concrete.summations import Sum + from sympy.matrices.immutable import ImmutableMatrix + + coeff, matrices = self.as_coeff_matrices() + + if len(matrices) == 1: # situation like 2*X, matmul is just X + return coeff * matrices[0][i, j] + + indices = [None]*(len(matrices) + 1) + ind_ranges = [None]*(len(matrices) - 1) + indices[0] = i + indices[-1] = j + + def f(): + counter = 1 + while True: + yield Dummy("i_%i" % counter) + counter += 1 + + dummy_generator = kwargs.get("dummy_generator", f()) + + for i in range(1, len(matrices)): + indices[i] = next(dummy_generator) + + for i, arg in enumerate(matrices[:-1]): + ind_ranges[i] = arg.shape[1] - 1 + matrices = [arg._entry(indices[i], indices[i+1], dummy_generator=dummy_generator) for i, arg in enumerate(matrices)] + expr_in_sum = Mul.fromiter(matrices) + if any(v.has(ImmutableMatrix) for v in matrices): + expand = True + result = coeff*Sum( + expr_in_sum, + *zip(indices[1:-1], [0]*len(ind_ranges), ind_ranges) + ) + + # Don't waste time in result.doit() if the sum bounds are symbolic + if not any(isinstance(v, (Integer, int)) for v in ind_ranges): + expand = False + return result.doit() if expand else result + + def as_coeff_matrices(self): + scalars = [x for x in self.args if not x.is_Matrix] + matrices = [x for x in self.args if x.is_Matrix] + coeff = Mul(*scalars) + if coeff.is_commutative is False: + raise NotImplementedError("noncommutative scalars in MatMul are not supported.") + + return coeff, matrices + + def as_coeff_mmul(self): + coeff, matrices = self.as_coeff_matrices() + return coeff, MatMul(*matrices) + + def expand(self, **kwargs): + expanded = super(MatMul, self).expand(**kwargs) + return self._evaluate(expanded) + + def _eval_transpose(self): + """Transposition of matrix multiplication. + + Notes + ===== + + The following rules are applied. + + Transposition for matrix multiplied with another matrix: + `\\left(A B\\right)^{T} = B^{T} A^{T}` + + Transposition for matrix multiplied with scalar: + `\\left(c A\\right)^{T} = c A^{T}` + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Transpose + """ + coeff, matrices = self.as_coeff_matrices() + return MatMul( + coeff, *[transpose(arg) for arg in matrices[::-1]]).doit() + + def _eval_adjoint(self): + return MatMul(*[adjoint(arg) for arg in self.args[::-1]]).doit() + + def _eval_trace(self): + factor, mmul = self.as_coeff_mmul() + if factor != 1: + from .trace import trace + return factor * trace(mmul.doit()) + + def _eval_determinant(self): + from sympy.matrices.expressions.determinant import Determinant + factor, matrices = self.as_coeff_matrices() + square_matrices = only_squares(*matrices) + return factor**self.rows * Mul(*list(map(Determinant, square_matrices))) + + def _eval_inverse(self): + if all(arg.is_square for arg in self.args if isinstance(arg, MatrixExpr)): + return MatMul(*( + arg.inverse() if isinstance(arg, MatrixExpr) else arg**-1 + for arg in self.args[::-1] + ) + ).doit() + return Inverse(self) + + def doit(self, **hints): + deep = hints.get('deep', True) + if deep: + args = tuple(arg.doit(**hints) for arg in self.args) + else: + args = self.args + + # treat scalar*MatrixSymbol or scalar*MatPow separately + expr = canonicalize(MatMul(*args)) + return expr + + # Needed for partial compatibility with Mul + def args_cnc(self, cset=False, warn=True, **kwargs): + coeff_c = [x for x in self.args if x.is_commutative] + coeff_nc = [x for x in self.args if not x.is_commutative] + if cset: + clen = len(coeff_c) + coeff_c = set(coeff_c) + if clen and warn and len(coeff_c) != clen: + raise ValueError('repeated commutative arguments: %s' % + [ci for ci in coeff_c if list(self.args).count(ci) > 1]) + return [coeff_c, coeff_nc] + + def _eval_derivative_matrix_lines(self, x): + from .transpose import Transpose + with_x_ind = [i for i, arg in enumerate(self.args) if arg.has(x)] + lines = [] + for ind in with_x_ind: + left_args = self.args[:ind] + right_args = self.args[ind+1:] + + if right_args: + right_mat = MatMul.fromiter(right_args) + else: + right_mat = Identity(self.shape[1]) + if left_args: + left_rev = MatMul.fromiter([Transpose(i).doit() if i.is_Matrix else i for i in reversed(left_args)]) + else: + left_rev = Identity(self.shape[0]) + + d = self.args[ind]._eval_derivative_matrix_lines(x) + for i in d: + i.append_first(left_rev) + i.append_second(right_mat) + lines.append(i) + + return lines + +mul.register_handlerclass((Mul, MatMul), MatMul) + + +# Rules +def newmul(*args): + if args[0] == 1: + args = args[1:] + return new(MatMul, *args) + +def any_zeros(mul): + if any(arg.is_zero or (arg.is_Matrix and arg.is_ZeroMatrix) + for arg in mul.args): + matrices = [arg for arg in mul.args if arg.is_Matrix] + return ZeroMatrix(matrices[0].rows, matrices[-1].cols) + return mul + +def merge_explicit(matmul): + """ Merge explicit MatrixBase arguments + + >>> from sympy import MatrixSymbol, Matrix, MatMul, pprint + >>> from sympy.matrices.expressions.matmul import merge_explicit + >>> A = MatrixSymbol('A', 2, 2) + >>> B = Matrix([[1, 1], [1, 1]]) + >>> C = Matrix([[1, 2], [3, 4]]) + >>> X = MatMul(A, B, C) + >>> pprint(X) + [1 1] [1 2] + A*[ ]*[ ] + [1 1] [3 4] + >>> pprint(merge_explicit(X)) + [4 6] + A*[ ] + [4 6] + + >>> X = MatMul(B, A, C) + >>> pprint(X) + [1 1] [1 2] + [ ]*A*[ ] + [1 1] [3 4] + >>> pprint(merge_explicit(X)) + [1 1] [1 2] + [ ]*A*[ ] + [1 1] [3 4] + """ + if not any(isinstance(arg, MatrixBase) for arg in matmul.args): + return matmul + newargs = [] + last = matmul.args[0] + for arg in matmul.args[1:]: + if isinstance(arg, (MatrixBase, Number)) and isinstance(last, (MatrixBase, Number)): + last = last * arg + else: + newargs.append(last) + last = arg + newargs.append(last) + + return MatMul(*newargs) + +def remove_ids(mul): + """ Remove Identities from a MatMul + + This is a modified version of sympy.strategies.rm_id. + This is necessary because MatMul may contain both MatrixExprs and Exprs + as args. + + See Also + ======== + + sympy.strategies.rm_id + """ + # Separate Exprs from MatrixExprs in args + factor, mmul = mul.as_coeff_mmul() + # Apply standard rm_id for MatMuls + result = rm_id(lambda x: x.is_Identity is True)(mmul) + if result != mmul: + return newmul(factor, *result.args) # Recombine and return + else: + return mul + +def factor_in_front(mul): + factor, matrices = mul.as_coeff_matrices() + if factor != 1: + return newmul(factor, *matrices) + return mul + +def combine_powers(mul): + r"""Combine consecutive powers with the same base into one, e.g. + $$A \times A^2 \Rightarrow A^3$$ + + This also cancels out the possible matrix inverses using the + knowledgebase of :class:`~.Inverse`, e.g., + $$ Y \times X \times X^{-1} \Rightarrow Y $$ + """ + factor, args = mul.as_coeff_matrices() + new_args = [args[0]] + + for i in range(1, len(args)): + A = new_args[-1] + B = args[i] + + if isinstance(B, Inverse) and isinstance(B.arg, MatMul): + Bargs = B.arg.args + l = len(Bargs) + if list(Bargs) == new_args[-l:]: + new_args = new_args[:-l] + [Identity(B.shape[0])] + continue + + if isinstance(A, Inverse) and isinstance(A.arg, MatMul): + Aargs = A.arg.args + l = len(Aargs) + if list(Aargs) == args[i:i+l]: + identity = Identity(A.shape[0]) + new_args[-1] = identity + for j in range(i, i+l): + args[j] = identity + continue + + if A.is_square == False or B.is_square == False: + new_args.append(B) + continue + + if isinstance(A, MatPow): + A_base, A_exp = A.args + else: + A_base, A_exp = A, S.One + + if isinstance(B, MatPow): + B_base, B_exp = B.args + else: + B_base, B_exp = B, S.One + + if A_base == B_base: + new_exp = A_exp + B_exp + new_args[-1] = MatPow(A_base, new_exp).doit(deep=False) + continue + elif not isinstance(B_base, MatrixBase): + try: + B_base_inv = B_base.inverse() + except NonInvertibleMatrixError: + B_base_inv = None + if B_base_inv is not None and A_base == B_base_inv: + new_exp = A_exp - B_exp + new_args[-1] = MatPow(A_base, new_exp).doit(deep=False) + continue + new_args.append(B) + + return newmul(factor, *new_args) + +def combine_permutations(mul): + """Refine products of permutation matrices as the products of cycles. + """ + args = mul.args + l = len(args) + if l < 2: + return mul + + result = [args[0]] + for i in range(1, l): + A = result[-1] + B = args[i] + if isinstance(A, PermutationMatrix) and \ + isinstance(B, PermutationMatrix): + cycle_1 = A.args[0] + cycle_2 = B.args[0] + result[-1] = PermutationMatrix(cycle_1 * cycle_2) + else: + result.append(B) + + return MatMul(*result) + +def combine_one_matrices(mul): + """ + Combine products of OneMatrix + + e.g. OneMatrix(2, 3) * OneMatrix(3, 4) -> 3 * OneMatrix(2, 4) + """ + factor, args = mul.as_coeff_matrices() + new_args = [args[0]] + + for B in args[1:]: + A = new_args[-1] + if not isinstance(A, OneMatrix) or not isinstance(B, OneMatrix): + new_args.append(B) + continue + new_args.pop() + new_args.append(OneMatrix(A.shape[0], B.shape[1])) + factor *= A.shape[1] + + return newmul(factor, *new_args) + +def distribute_monom(mul): + """ + Simplify MatMul expressions but distributing + rational term to MatMul. + + e.g. 2*(A+B) -> 2*A + 2*B + """ + args = mul.args + if len(args) == 2: + from .matadd import MatAdd + if args[0].is_MatAdd and args[1].is_Rational: + return MatAdd(*[MatMul(mat, args[1]).doit() for mat in args[0].args]) + if args[1].is_MatAdd and args[0].is_Rational: + return MatAdd(*[MatMul(args[0], mat).doit() for mat in args[1].args]) + return mul + +rules = ( + distribute_monom, any_zeros, remove_ids, combine_one_matrices, combine_powers, unpack, rm_id(lambda x: x == 1), + merge_explicit, factor_in_front, flatten, combine_permutations) + +canonicalize = exhaust(typed({MatMul: do_one(*rules)})) + +def only_squares(*matrices): + """factor matrices only if they are square""" + if matrices[0].rows != matrices[-1].cols: + raise RuntimeError("Invalid matrices being multiplied") + out = [] + start = 0 + for i, M in enumerate(matrices): + if M.cols == matrices[start].rows: + out.append(MatMul(*matrices[start:i+1]).doit()) + start = i+1 + return out + + +def refine_MatMul(expr, assumptions): + """ + >>> from sympy import MatrixSymbol, Q, assuming, refine + >>> X = MatrixSymbol('X', 2, 2) + >>> expr = X * X.T + >>> print(expr) + X*X.T + >>> with assuming(Q.orthogonal(X)): + ... print(refine(expr)) + I + """ + newargs = [] + exprargs = [] + + for args in expr.args: + if args.is_Matrix: + exprargs.append(args) + else: + newargs.append(args) + + last = exprargs[0] + for arg in exprargs[1:]: + if arg == last.T and ask(Q.orthogonal(arg), assumptions): + last = Identity(arg.shape[0]) + elif arg == last.conjugate() and ask(Q.unitary(arg), assumptions): + last = Identity(arg.shape[0]) + else: + newargs.append(last) + last = arg + newargs.append(last) + + return MatMul(*newargs) + + +handlers_dict['MatMul'] = refine_MatMul diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/matpow.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/matpow.py new file mode 100644 index 0000000000000000000000000000000000000000..b6472995e134e9e5ebfd28a901480665d1531275 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/matpow.py @@ -0,0 +1,150 @@ +from .matexpr import MatrixExpr +from .special import Identity +from sympy.core import S +from sympy.core.expr import ExprBuilder +from sympy.core.cache import cacheit +from sympy.core.power import Pow +from sympy.core.sympify import _sympify +from sympy.matrices import MatrixBase +from sympy.matrices.exceptions import NonSquareMatrixError + + +class MatPow(MatrixExpr): + def __new__(cls, base, exp, evaluate=False, **options): + base = _sympify(base) + if not base.is_Matrix: + raise TypeError("MatPow base should be a matrix") + + if base.is_square is False: + raise NonSquareMatrixError("Power of non-square matrix %s" % base) + + exp = _sympify(exp) + obj = super().__new__(cls, base, exp) + + if evaluate: + obj = obj.doit(deep=False) + + return obj + + @property + def base(self): + return self.args[0] + + @property + def exp(self): + return self.args[1] + + @property + def shape(self): + return self.base.shape + + @cacheit + def _get_explicit_matrix(self): + return self.base.as_explicit()**self.exp + + def _entry(self, i, j, **kwargs): + from sympy.matrices.expressions import MatMul + A = self.doit() + if isinstance(A, MatPow): + # We still have a MatPow, make an explicit MatMul out of it. + if A.exp.is_Integer and A.exp.is_positive: + A = MatMul(*[A.base for k in range(A.exp)]) + elif not self._is_shape_symbolic(): + return A._get_explicit_matrix()[i, j] + else: + # Leave the expression unevaluated: + from sympy.matrices.expressions.matexpr import MatrixElement + return MatrixElement(self, i, j) + return A[i, j] + + def doit(self, **hints): + if hints.get('deep', True): + base, exp = (arg.doit(**hints) for arg in self.args) + else: + base, exp = self.args + + # combine all powers, e.g. (A ** 2) ** 3 -> A ** 6 + while isinstance(base, MatPow): + exp *= base.args[1] + base = base.args[0] + + if isinstance(base, MatrixBase): + # Delegate + return base ** exp + + # Handle simple cases so that _eval_power() in MatrixExpr sub-classes can ignore them + if exp == S.One: + return base + if exp == S.Zero: + return Identity(base.rows) + if exp == S.NegativeOne: + from sympy.matrices.expressions import Inverse + return Inverse(base).doit(**hints) + + eval_power = getattr(base, '_eval_power', None) + if eval_power is not None: + return eval_power(exp) + + return MatPow(base, exp) + + def _eval_transpose(self): + base, exp = self.args + return MatPow(base.transpose(), exp) + + def _eval_adjoint(self): + base, exp = self.args + return MatPow(base.adjoint(), exp) + + def _eval_conjugate(self): + base, exp = self.args + return MatPow(base.conjugate(), exp) + + def _eval_derivative(self, x): + return Pow._eval_derivative(self, x) + + def _eval_derivative_matrix_lines(self, x): + from sympy.tensor.array.expressions.array_expressions import ArrayContraction + from ...tensor.array.expressions.array_expressions import ArrayTensorProduct + from .matmul import MatMul + from .inverse import Inverse + exp = self.exp + if self.base.shape == (1, 1) and not exp.has(x): + lr = self.base._eval_derivative_matrix_lines(x) + for i in lr: + subexpr = ExprBuilder( + ArrayContraction, + [ + ExprBuilder( + ArrayTensorProduct, + [ + Identity(1), + i._lines[0], + exp*self.base**(exp-1), + i._lines[1], + Identity(1), + ] + ), + (0, 3, 4), (5, 7, 8) + ], + validator=ArrayContraction._validate + ) + i._first_pointer_parent = subexpr.args[0].args + i._first_pointer_index = 0 + i._second_pointer_parent = subexpr.args[0].args + i._second_pointer_index = 4 + i._lines = [subexpr] + return lr + if (exp > 0) == True: + newexpr = MatMul.fromiter([self.base for i in range(exp)]) + elif (exp == -1) == True: + return Inverse(self.base)._eval_derivative_matrix_lines(x) + elif (exp < 0) == True: + newexpr = MatMul.fromiter([Inverse(self.base) for i in range(-exp)]) + elif (exp == 0) == True: + return self.doit()._eval_derivative_matrix_lines(x) + else: + raise NotImplementedError("cannot evaluate %s derived by %s" % (self, x)) + return newexpr._eval_derivative_matrix_lines(x) + + def _eval_inverse(self): + return MatPow(self.base, -self.exp) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/permutation.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/permutation.py new file mode 100644 index 0000000000000000000000000000000000000000..5634fa941a53d8890583fe61bb29bc34f4e6000d --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/permutation.py @@ -0,0 +1,303 @@ +from sympy.core import S +from sympy.core.sympify import _sympify +from sympy.functions import KroneckerDelta + +from .matexpr import MatrixExpr +from .special import ZeroMatrix, Identity, OneMatrix + + +class PermutationMatrix(MatrixExpr): + """A Permutation Matrix + + Parameters + ========== + + perm : Permutation + The permutation the matrix uses. + + The size of the permutation determines the matrix size. + + See the documentation of + :class:`sympy.combinatorics.permutations.Permutation` for + the further information of how to create a permutation object. + + Examples + ======== + + >>> from sympy import Matrix, PermutationMatrix + >>> from sympy.combinatorics import Permutation + + Creating a permutation matrix: + + >>> p = Permutation(1, 2, 0) + >>> P = PermutationMatrix(p) + >>> P = P.as_explicit() + >>> P + Matrix([ + [0, 1, 0], + [0, 0, 1], + [1, 0, 0]]) + + Permuting a matrix row and column: + + >>> M = Matrix([0, 1, 2]) + >>> Matrix(P*M) + Matrix([ + [1], + [2], + [0]]) + + >>> Matrix(M.T*P) + Matrix([[2, 0, 1]]) + + See Also + ======== + + sympy.combinatorics.permutations.Permutation + """ + + def __new__(cls, perm): + from sympy.combinatorics.permutations import Permutation + + perm = _sympify(perm) + if not isinstance(perm, Permutation): + raise ValueError( + "{} must be a SymPy Permutation instance.".format(perm)) + + return super().__new__(cls, perm) + + @property + def shape(self): + size = self.args[0].size + return (size, size) + + @property + def is_Identity(self): + return self.args[0].is_Identity + + def doit(self, **hints): + if self.is_Identity: + return Identity(self.rows) + return self + + def _entry(self, i, j, **kwargs): + perm = self.args[0] + return KroneckerDelta(perm.apply(i), j) + + def _eval_power(self, exp): + return PermutationMatrix(self.args[0] ** exp).doit() + + def _eval_inverse(self): + return PermutationMatrix(self.args[0] ** -1) + + _eval_transpose = _eval_adjoint = _eval_inverse + + def _eval_determinant(self): + sign = self.args[0].signature() + if sign == 1: + return S.One + elif sign == -1: + return S.NegativeOne + raise NotImplementedError + + def _eval_rewrite_as_BlockDiagMatrix(self, *args, **kwargs): + from sympy.combinatorics.permutations import Permutation + from .blockmatrix import BlockDiagMatrix + + perm = self.args[0] + full_cyclic_form = perm.full_cyclic_form + + cycles_picks = [] + + # Stage 1. Decompose the cycles into the blockable form. + a, b, c = 0, 0, 0 + flag = False + for cycle in full_cyclic_form: + l = len(cycle) + m = max(cycle) + + if not flag: + if m + 1 > a + l: + flag = True + temp = [cycle] + b = m + c = l + else: + cycles_picks.append([cycle]) + a += l + + else: + if m > b: + if m + 1 == a + c + l: + temp.append(cycle) + cycles_picks.append(temp) + flag = False + a = m+1 + else: + b = m + temp.append(cycle) + c += l + else: + if b + 1 == a + c + l: + temp.append(cycle) + cycles_picks.append(temp) + flag = False + a = b+1 + else: + temp.append(cycle) + c += l + + # Stage 2. Normalize each decomposed cycles and build matrix. + p = 0 + args = [] + for pick in cycles_picks: + new_cycles = [] + l = 0 + for cycle in pick: + new_cycle = [i - p for i in cycle] + new_cycles.append(new_cycle) + l += len(cycle) + p += l + perm = Permutation(new_cycles) + mat = PermutationMatrix(perm) + args.append(mat) + + return BlockDiagMatrix(*args) + + +class MatrixPermute(MatrixExpr): + r"""Symbolic representation for permuting matrix rows or columns. + + Parameters + ========== + + perm : Permutation, PermutationMatrix + The permutation to use for permuting the matrix. + The permutation can be resized to the suitable one, + + axis : 0 or 1 + The axis to permute alongside. + If `0`, it will permute the matrix rows. + If `1`, it will permute the matrix columns. + + Notes + ===== + + This follows the same notation used in + :meth:`sympy.matrices.matrixbase.MatrixBase.permute`. + + Examples + ======== + + >>> from sympy import Matrix, MatrixPermute + >>> from sympy.combinatorics import Permutation + + Permuting the matrix rows: + + >>> p = Permutation(1, 2, 0) + >>> A = Matrix([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) + >>> B = MatrixPermute(A, p, axis=0) + >>> B.as_explicit() + Matrix([ + [4, 5, 6], + [7, 8, 9], + [1, 2, 3]]) + + Permuting the matrix columns: + + >>> B = MatrixPermute(A, p, axis=1) + >>> B.as_explicit() + Matrix([ + [2, 3, 1], + [5, 6, 4], + [8, 9, 7]]) + + See Also + ======== + + sympy.matrices.matrixbase.MatrixBase.permute + """ + def __new__(cls, mat, perm, axis=S.Zero): + from sympy.combinatorics.permutations import Permutation + + mat = _sympify(mat) + if not mat.is_Matrix: + raise ValueError( + "{} must be a SymPy matrix instance.".format(perm)) + + perm = _sympify(perm) + if isinstance(perm, PermutationMatrix): + perm = perm.args[0] + + if not isinstance(perm, Permutation): + raise ValueError( + "{} must be a SymPy Permutation or a PermutationMatrix " \ + "instance".format(perm)) + + axis = _sympify(axis) + if axis not in (0, 1): + raise ValueError("The axis must be 0 or 1.") + + mat_size = mat.shape[axis] + if mat_size != perm.size: + try: + perm = perm.resize(mat_size) + except ValueError: + raise ValueError( + "Size does not match between the permutation {} " + "and the matrix {} threaded over the axis {} " + "and cannot be converted." + .format(perm, mat, axis)) + + return super().__new__(cls, mat, perm, axis) + + def doit(self, deep=True, **hints): + mat, perm, axis = self.args + + if deep: + mat = mat.doit(deep=deep, **hints) + perm = perm.doit(deep=deep, **hints) + + if perm.is_Identity: + return mat + + if mat.is_Identity: + if axis is S.Zero: + return PermutationMatrix(perm) + elif axis is S.One: + return PermutationMatrix(perm**-1) + + if isinstance(mat, (ZeroMatrix, OneMatrix)): + return mat + + if isinstance(mat, MatrixPermute) and mat.args[2] == axis: + return MatrixPermute(mat.args[0], perm * mat.args[1], axis) + + return self + + @property + def shape(self): + return self.args[0].shape + + def _entry(self, i, j, **kwargs): + mat, perm, axis = self.args + + if axis == 0: + return mat[perm.apply(i), j] + elif axis == 1: + return mat[i, perm.apply(j)] + + def _eval_rewrite_as_MatMul(self, *args, **kwargs): + from .matmul import MatMul + + mat, perm, axis = self.args + + deep = kwargs.get("deep", True) + + if deep: + mat = mat.rewrite(MatMul) + + if axis == 0: + return MatMul(PermutationMatrix(perm), mat) + elif axis == 1: + return MatMul(mat, PermutationMatrix(perm**-1)) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/sets.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/sets.py new file mode 100644 index 0000000000000000000000000000000000000000..ab4930ea8f1b058977a8dd1abdc62f1f5e2195c1 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/sets.py @@ -0,0 +1,68 @@ +from sympy.core.assumptions import check_assumptions +from sympy.core.logic import fuzzy_and +from sympy.core.sympify import _sympify +from sympy.matrices.kind import MatrixKind +from sympy.sets.sets import Set, SetKind +from sympy.core.kind import NumberKind +from .matexpr import MatrixExpr + + +class MatrixSet(Set): + """ + MatrixSet represents the set of matrices with ``shape = (n, m)`` over the + given set. + + Examples + ======== + + >>> from sympy.matrices import MatrixSet + >>> from sympy import S, I, Matrix + >>> M = MatrixSet(2, 2, set=S.Reals) + >>> X = Matrix([[1, 2], [3, 4]]) + >>> X in M + True + >>> X = Matrix([[1, 2], [I, 4]]) + >>> X in M + False + + """ + is_empty = False + + def __new__(cls, n, m, set): + n, m, set = _sympify(n), _sympify(m), _sympify(set) + cls._check_dim(n) + cls._check_dim(m) + if not isinstance(set, Set): + raise TypeError("{} should be an instance of Set.".format(set)) + return Set.__new__(cls, n, m, set) + + @property + def shape(self): + return self.args[:2] + + @property + def set(self): + return self.args[2] + + def _contains(self, other): + if not isinstance(other, MatrixExpr): + raise TypeError("{} should be an instance of MatrixExpr.".format(other)) + if other.shape != self.shape: + are_symbolic = any(_sympify(x).is_Symbol for x in other.shape + self.shape) + if are_symbolic: + return None + return False + return fuzzy_and(self.set.contains(x) for x in other) + + @classmethod + def _check_dim(cls, dim): + """Helper function to check invalid matrix dimensions""" + ok = not dim.is_Float and check_assumptions( + dim, integer=True, nonnegative=True) + if ok is False: + raise ValueError( + "The dimension specification {} should be " + "a nonnegative integer.".format(dim)) + + def _kind(self): + return SetKind(MatrixKind(NumberKind)) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/slice.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/slice.py new file mode 100644 index 0000000000000000000000000000000000000000..1904b49f29c503fb4c0c909532f8342fb0f4b135 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/slice.py @@ -0,0 +1,114 @@ +from sympy.matrices.expressions.matexpr import MatrixExpr +from sympy.core.basic import Basic +from sympy.core.containers import Tuple +from sympy.functions.elementary.integers import floor + +def normalize(i, parentsize): + if isinstance(i, slice): + i = (i.start, i.stop, i.step) + if not isinstance(i, (tuple, list, Tuple)): + if (i < 0) == True: + i += parentsize + i = (i, i+1, 1) + i = list(i) + if len(i) == 2: + i.append(1) + start, stop, step = i + start = start or 0 + if stop is None: + stop = parentsize + if (start < 0) == True: + start += parentsize + if (stop < 0) == True: + stop += parentsize + step = step or 1 + + if ((stop - start) * step < 1) == True: + raise IndexError() + + return (start, stop, step) + +class MatrixSlice(MatrixExpr): + """ A MatrixSlice of a Matrix Expression + + Examples + ======== + + >>> from sympy import MatrixSlice, ImmutableMatrix + >>> M = ImmutableMatrix(4, 4, range(16)) + >>> M + Matrix([ + [ 0, 1, 2, 3], + [ 4, 5, 6, 7], + [ 8, 9, 10, 11], + [12, 13, 14, 15]]) + + >>> B = MatrixSlice(M, (0, 2), (2, 4)) + >>> ImmutableMatrix(B) + Matrix([ + [2, 3], + [6, 7]]) + """ + parent = property(lambda self: self.args[0]) + rowslice = property(lambda self: self.args[1]) + colslice = property(lambda self: self.args[2]) + + def __new__(cls, parent, rowslice, colslice): + rowslice = normalize(rowslice, parent.shape[0]) + colslice = normalize(colslice, parent.shape[1]) + if not (len(rowslice) == len(colslice) == 3): + raise IndexError() + if ((0 > rowslice[0]) == True or + (parent.shape[0] < rowslice[1]) == True or + (0 > colslice[0]) == True or + (parent.shape[1] < colslice[1]) == True): + raise IndexError() + if isinstance(parent, MatrixSlice): + return mat_slice_of_slice(parent, rowslice, colslice) + return Basic.__new__(cls, parent, Tuple(*rowslice), Tuple(*colslice)) + + @property + def shape(self): + rows = self.rowslice[1] - self.rowslice[0] + rows = rows if self.rowslice[2] == 1 else floor(rows/self.rowslice[2]) + cols = self.colslice[1] - self.colslice[0] + cols = cols if self.colslice[2] == 1 else floor(cols/self.colslice[2]) + return rows, cols + + def _entry(self, i, j, **kwargs): + return self.parent._entry(i*self.rowslice[2] + self.rowslice[0], + j*self.colslice[2] + self.colslice[0], + **kwargs) + + @property + def on_diag(self): + return self.rowslice == self.colslice + + +def slice_of_slice(s, t): + start1, stop1, step1 = s + start2, stop2, step2 = t + + start = start1 + start2*step1 + step = step1 * step2 + stop = start1 + step1*stop2 + + if stop > stop1: + raise IndexError() + + return start, stop, step + + +def mat_slice_of_slice(parent, rowslice, colslice): + """ Collapse nested matrix slices + + >>> from sympy import MatrixSymbol + >>> X = MatrixSymbol('X', 10, 10) + >>> X[:, 1:5][5:8, :] + X[5:8, 1:5] + >>> X[1:9:2, 2:6][1:3, 2] + X[3:7:2, 4:5] + """ + row = slice_of_slice(parent.rowslice, rowslice) + col = slice_of_slice(parent.colslice, colslice) + return MatrixSlice(parent.parent, row, col) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/special.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/special.py new file mode 100644 index 0000000000000000000000000000000000000000..d1e426f16ada0e4245b644867974b41b6f86b5cc --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/special.py @@ -0,0 +1,299 @@ +from sympy.assumptions.ask import ask, Q +from sympy.core.relational import Eq +from sympy.core.singleton import S +from sympy.core.sympify import _sympify +from sympy.functions.special.tensor_functions import KroneckerDelta +from sympy.matrices.exceptions import NonInvertibleMatrixError +from .matexpr import MatrixExpr + + +class ZeroMatrix(MatrixExpr): + """The Matrix Zero 0 - additive identity + + Examples + ======== + + >>> from sympy import MatrixSymbol, ZeroMatrix + >>> A = MatrixSymbol('A', 3, 5) + >>> Z = ZeroMatrix(3, 5) + >>> A + Z + A + >>> Z*A.T + 0 + """ + is_ZeroMatrix = True + + def __new__(cls, m, n): + m, n = _sympify(m), _sympify(n) + cls._check_dim(m) + cls._check_dim(n) + + return super().__new__(cls, m, n) + + @property + def shape(self): + return (self.args[0], self.args[1]) + + def _eval_power(self, exp): + # exp = -1, 0, 1 are already handled at this stage + if (exp < 0) == True: + raise NonInvertibleMatrixError("Matrix det == 0; not invertible") + return self + + def _eval_transpose(self): + return ZeroMatrix(self.cols, self.rows) + + def _eval_adjoint(self): + return ZeroMatrix(self.cols, self.rows) + + def _eval_trace(self): + return S.Zero + + def _eval_determinant(self): + return S.Zero + + def _eval_inverse(self): + raise NonInvertibleMatrixError("Matrix det == 0; not invertible.") + + def _eval_as_real_imag(self): + return (self, self) + + def _eval_conjugate(self): + return self + + def _entry(self, i, j, **kwargs): + return S.Zero + + +class GenericZeroMatrix(ZeroMatrix): + """ + A zero matrix without a specified shape + + This exists primarily so MatAdd() with no arguments can return something + meaningful. + """ + def __new__(cls): + # super(ZeroMatrix, cls) instead of super(GenericZeroMatrix, cls) + # because ZeroMatrix.__new__ doesn't have the same signature + return super(ZeroMatrix, cls).__new__(cls) + + @property + def rows(self): + raise TypeError("GenericZeroMatrix does not have a specified shape") + + @property + def cols(self): + raise TypeError("GenericZeroMatrix does not have a specified shape") + + @property + def shape(self): + raise TypeError("GenericZeroMatrix does not have a specified shape") + + # Avoid Matrix.__eq__ which might call .shape + def __eq__(self, other): + return isinstance(other, GenericZeroMatrix) + + def __ne__(self, other): + return not (self == other) + + def __hash__(self): + return super().__hash__() + + + +class Identity(MatrixExpr): + """The Matrix Identity I - multiplicative identity + + Examples + ======== + + >>> from sympy import Identity, MatrixSymbol + >>> A = MatrixSymbol('A', 3, 5) + >>> I = Identity(3) + >>> I*A + A + """ + + is_Identity = True + + def __new__(cls, n): + n = _sympify(n) + cls._check_dim(n) + + return super().__new__(cls, n) + + @property + def rows(self): + return self.args[0] + + @property + def cols(self): + return self.args[0] + + @property + def shape(self): + return (self.args[0], self.args[0]) + + @property + def is_square(self): + return True + + def _eval_transpose(self): + return self + + def _eval_trace(self): + return self.rows + + def _eval_inverse(self): + return self + + def _eval_as_real_imag(self): + return (self, ZeroMatrix(*self.shape)) + + def _eval_conjugate(self): + return self + + def _eval_adjoint(self): + return self + + def _entry(self, i, j, **kwargs): + eq = Eq(i, j) + if eq is S.true: + return S.One + elif eq is S.false: + return S.Zero + return KroneckerDelta(i, j, (0, self.cols-1)) + + def _eval_determinant(self): + return S.One + + def _eval_power(self, exp): + return self + + +class GenericIdentity(Identity): + """ + An identity matrix without a specified shape + + This exists primarily so MatMul() with no arguments can return something + meaningful. + """ + def __new__(cls): + # super(Identity, cls) instead of super(GenericIdentity, cls) because + # Identity.__new__ doesn't have the same signature + return super(Identity, cls).__new__(cls) + + @property + def rows(self): + raise TypeError("GenericIdentity does not have a specified shape") + + @property + def cols(self): + raise TypeError("GenericIdentity does not have a specified shape") + + @property + def shape(self): + raise TypeError("GenericIdentity does not have a specified shape") + + @property + def is_square(self): + return True + + # Avoid Matrix.__eq__ which might call .shape + def __eq__(self, other): + return isinstance(other, GenericIdentity) + + def __ne__(self, other): + return not (self == other) + + def __hash__(self): + return super().__hash__() + + +class OneMatrix(MatrixExpr): + """ + Matrix whose all entries are ones. + """ + def __new__(cls, m, n, evaluate=False): + m, n = _sympify(m), _sympify(n) + cls._check_dim(m) + cls._check_dim(n) + + if evaluate: + condition = Eq(m, 1) & Eq(n, 1) + if condition == True: + return Identity(1) + + obj = super().__new__(cls, m, n) + return obj + + @property + def shape(self): + return self._args + + @property + def is_Identity(self): + return self._is_1x1() == True + + def as_explicit(self): + from sympy.matrices.immutable import ImmutableDenseMatrix + return ImmutableDenseMatrix.ones(*self.shape) + + def doit(self, **hints): + args = self.args + if hints.get('deep', True): + args = [a.doit(**hints) for a in args] + return self.func(*args, evaluate=True) + + def _eval_power(self, exp): + # exp = -1, 0, 1 are already handled at this stage + if self._is_1x1() == True: + return Identity(1) + if (exp < 0) == True: + raise NonInvertibleMatrixError("Matrix det == 0; not invertible") + if ask(Q.integer(exp)): + return self.shape[0] ** (exp - 1) * OneMatrix(*self.shape) + return super()._eval_power(exp) + + def _eval_transpose(self): + return OneMatrix(self.cols, self.rows) + + def _eval_adjoint(self): + return OneMatrix(self.cols, self.rows) + + def _eval_trace(self): + return S.One*self.rows + + def _is_1x1(self): + """Returns true if the matrix is known to be 1x1""" + shape = self.shape + return Eq(shape[0], 1) & Eq(shape[1], 1) + + def _eval_determinant(self): + condition = self._is_1x1() + if condition == True: + return S.One + elif condition == False: + return S.Zero + else: + from sympy.matrices.expressions.determinant import Determinant + return Determinant(self) + + def _eval_inverse(self): + condition = self._is_1x1() + if condition == True: + return Identity(1) + elif condition == False: + raise NonInvertibleMatrixError("Matrix det == 0; not invertible.") + else: + 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trace, Transpose +from sympy.matrices import eye, Matrix + +n, m, l, k, p = symbols('n m l k p', integer=True) +A = MatrixSymbol('A', n, m) +B = MatrixSymbol('B', m, l) +C = MatrixSymbol('C', n, n) + + +def test_adjoint(): + Sq = MatrixSymbol('Sq', n, n) + + assert Adjoint(A).shape == (m, n) + assert Adjoint(A*B).shape == (l, n) + assert adjoint(Adjoint(A)) == A + assert isinstance(Adjoint(Adjoint(A)), Adjoint) + + assert conjugate(Adjoint(A)) == Transpose(A) + assert transpose(Adjoint(A)) == Adjoint(Transpose(A)) + + assert Adjoint(eye(3)).doit() == eye(3) + + assert Adjoint(S(5)).doit() == S(5) + + assert Adjoint(Matrix([[1, 2], [3, 4]])).doit() == Matrix([[1, 3], [2, 4]]) + + assert adjoint(trace(Sq)) == conjugate(trace(Sq)) + assert trace(adjoint(Sq)) == conjugate(trace(Sq)) + + assert Adjoint(Sq)[0, 1] == conjugate(Sq[1, 0]) + + assert Adjoint(A*B).doit() == Adjoint(B) * Adjoint(A) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_applyfunc.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_applyfunc.py new file mode 100644 index 0000000000000000000000000000000000000000..d98732e2751e53938d96d7ea56c916e6fee4578e --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_applyfunc.py @@ -0,0 +1,118 @@ +from sympy.core.symbol import symbols, Dummy +from sympy.matrices.expressions.applyfunc import ElementwiseApplyFunction +from sympy.core.function import Lambda +from sympy.functions.elementary.exponential import exp +from sympy.functions.elementary.trigonometric import sin +from sympy.matrices.dense import Matrix +from sympy.matrices.expressions.matexpr import MatrixSymbol +from sympy.matrices.expressions.matmul import MatMul +from sympy.simplify.simplify import simplify + + +X = MatrixSymbol("X", 3, 3) +Y = MatrixSymbol("Y", 3, 3) + +k = symbols("k") +Xk = MatrixSymbol("X", k, k) + +Xd = X.as_explicit() + +x, y, z, t = symbols("x y z t") + + +def test_applyfunc_matrix(): + x = Dummy('x') + double = Lambda(x, x**2) + + expr = ElementwiseApplyFunction(double, Xd) + assert isinstance(expr, ElementwiseApplyFunction) + assert expr.doit() == Xd.applyfunc(lambda x: x**2) + assert expr.shape == (3, 3) + assert expr.func(*expr.args) == expr + assert simplify(expr) == expr + assert expr[0, 0] == double(Xd[0, 0]) + + expr = ElementwiseApplyFunction(double, X) + assert isinstance(expr, ElementwiseApplyFunction) + assert isinstance(expr.doit(), ElementwiseApplyFunction) + assert expr == X.applyfunc(double) + assert expr.func(*expr.args) == expr + + expr = ElementwiseApplyFunction(exp, X*Y) + assert expr.expr == X*Y + assert expr.function.dummy_eq(Lambda(x, exp(x))) + assert expr.dummy_eq((X*Y).applyfunc(exp)) + assert expr.func(*expr.args) == expr + + assert isinstance(X*expr, MatMul) + assert (X*expr).shape == (3, 3) + Z = MatrixSymbol("Z", 2, 3) + assert (Z*expr).shape == (2, 3) + + expr = ElementwiseApplyFunction(exp, Z.T)*ElementwiseApplyFunction(exp, Z) + assert expr.shape == (3, 3) + expr = ElementwiseApplyFunction(exp, Z)*ElementwiseApplyFunction(exp, Z.T) + assert expr.shape == (2, 2) + + M = Matrix([[x, y], [z, t]]) + expr = ElementwiseApplyFunction(sin, M) + assert isinstance(expr, ElementwiseApplyFunction) + assert expr.function.dummy_eq(Lambda(x, sin(x))) + assert expr.expr == M + assert expr.doit() == M.applyfunc(sin) + assert expr.doit() == Matrix([[sin(x), sin(y)], [sin(z), sin(t)]]) + assert expr.func(*expr.args) == expr + + expr = ElementwiseApplyFunction(double, Xk) + assert expr.doit() == expr + assert expr.subs(k, 2).shape == (2, 2) + assert (expr*expr).shape == (k, k) + M = MatrixSymbol("M", k, t) + expr2 = M.T*expr*M + assert isinstance(expr2, MatMul) + assert expr2.args[1] == expr + assert expr2.shape == (t, t) + expr3 = expr*M + assert expr3.shape == (k, t) + + expr1 = ElementwiseApplyFunction(lambda x: x+1, Xk) + expr2 = ElementwiseApplyFunction(lambda x: x, Xk) + assert expr1 != expr2 + + +def test_applyfunc_entry(): + + af = X.applyfunc(sin) + assert af[0, 0] == sin(X[0, 0]) + + af = Xd.applyfunc(sin) + assert af[0, 0] == sin(X[0, 0]) + + +def test_applyfunc_as_explicit(): + + af = X.applyfunc(sin) + assert af.as_explicit() == Matrix([ + [sin(X[0, 0]), sin(X[0, 1]), sin(X[0, 2])], + [sin(X[1, 0]), sin(X[1, 1]), sin(X[1, 2])], + [sin(X[2, 0]), sin(X[2, 1]), sin(X[2, 2])], + ]) + + +def test_applyfunc_transpose(): + + af = Xk.applyfunc(sin) + assert af.T.dummy_eq(Xk.T.applyfunc(sin)) + + +def test_applyfunc_shape_11_matrices(): + M = MatrixSymbol("M", 1, 1) + + double = Lambda(x, x*2) + + expr = M.applyfunc(sin) + assert isinstance(expr, ElementwiseApplyFunction) + + expr = M.applyfunc(double) + assert isinstance(expr, MatMul) + assert expr == 2*M diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_blockmatrix.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_blockmatrix.py new file mode 100644 index 0000000000000000000000000000000000000000..1d4893cd9a4b3e47dd8e84db33031f7f6f3201fd --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_blockmatrix.py @@ -0,0 +1,469 @@ +from sympy.matrices.expressions.trace import Trace +from sympy.testing.pytest import raises, slow +from sympy.matrices.expressions.blockmatrix import ( + block_collapse, bc_matmul, bc_block_plus_ident, BlockDiagMatrix, + BlockMatrix, bc_dist, bc_matadd, bc_transpose, bc_inverse, + blockcut, reblock_2x2, deblock) +from sympy.matrices.expressions import ( + MatrixSymbol, Identity, trace, det, ZeroMatrix, OneMatrix) +from sympy.matrices.expressions.inverse import Inverse +from sympy.matrices.expressions.matpow import MatPow +from sympy.matrices.expressions.transpose import Transpose +from sympy.matrices.exceptions import NonInvertibleMatrixError +from sympy.matrices import ( + Matrix, ImmutableMatrix, ImmutableSparseMatrix, zeros) +from sympy.core import Tuple, Expr, S, Function +from sympy.core.symbol import Symbol, symbols +from sympy.functions import transpose, im, re + +i, j, k, l, m, n, p = symbols('i:n, p', integer=True) +A = MatrixSymbol('A', n, n) +B = MatrixSymbol('B', n, n) +C = MatrixSymbol('C', n, n) +D = MatrixSymbol('D', n, n) +G = MatrixSymbol('G', n, n) +H = MatrixSymbol('H', n, n) +b1 = BlockMatrix([[G, H]]) +b2 = BlockMatrix([[G], [H]]) + +def test_bc_matmul(): + assert bc_matmul(H*b1*b2*G) == BlockMatrix([[(H*G*G + H*H*H)*G]]) + +def test_bc_matadd(): + assert bc_matadd(BlockMatrix([[G, H]]) + BlockMatrix([[H, H]])) == \ + BlockMatrix([[G+H, H+H]]) + +def test_bc_transpose(): + assert bc_transpose(Transpose(BlockMatrix([[A, B], [C, D]]))) == \ + BlockMatrix([[A.T, C.T], [B.T, D.T]]) + +def test_bc_dist_diag(): + A = MatrixSymbol('A', n, n) + B = MatrixSymbol('B', m, m) + C = MatrixSymbol('C', l, l) + X = BlockDiagMatrix(A, B, C) + + assert bc_dist(X+X).equals(BlockDiagMatrix(2*A, 2*B, 2*C)) + +def test_block_plus_ident(): + A = MatrixSymbol('A', n, n) + B = MatrixSymbol('B', n, m) + C = MatrixSymbol('C', m, n) + D = MatrixSymbol('D', m, m) + X = BlockMatrix([[A, B], [C, D]]) + Z = MatrixSymbol('Z', n + m, n + m) + assert bc_block_plus_ident(X + Identity(m + n) + Z) == \ + BlockDiagMatrix(Identity(n), Identity(m)) + X + Z + +def test_BlockMatrix(): + A = MatrixSymbol('A', n, m) + B = MatrixSymbol('B', n, k) + C = MatrixSymbol('C', l, m) + D = MatrixSymbol('D', l, k) + M = MatrixSymbol('M', m + k, p) + N = MatrixSymbol('N', l + n, k + m) + X = BlockMatrix(Matrix([[A, B], [C, D]])) + + assert X.__class__(*X.args) == X + + # block_collapse does nothing on normal inputs + E = MatrixSymbol('E', n, m) + assert block_collapse(A + 2*E) == A + 2*E + F = MatrixSymbol('F', m, m) + assert block_collapse(E.T*A*F) == E.T*A*F + + assert X.shape == (l + n, k + m) + assert X.blockshape == (2, 2) + assert transpose(X) == BlockMatrix(Matrix([[A.T, C.T], [B.T, D.T]])) + assert transpose(X).shape == X.shape[::-1] + + # Test that BlockMatrices and MatrixSymbols can still mix + assert (X*M).is_MatMul + assert X._blockmul(M).is_MatMul + assert (X*M).shape == (n + l, p) + assert (X + N).is_MatAdd + assert X._blockadd(N).is_MatAdd + assert (X + N).shape == X.shape + + E = MatrixSymbol('E', m, 1) + F = MatrixSymbol('F', k, 1) + + Y = BlockMatrix(Matrix([[E], [F]])) + + assert (X*Y).shape == (l + n, 1) + assert block_collapse(X*Y).blocks[0, 0] == A*E + B*F + assert block_collapse(X*Y).blocks[1, 0] == C*E + D*F + + # block_collapse passes down into container objects, transposes, and inverse + assert block_collapse(transpose(X*Y)) == transpose(block_collapse(X*Y)) + assert block_collapse(Tuple(X*Y, 2*X)) == ( + block_collapse(X*Y), block_collapse(2*X)) + + # Make sure that MatrixSymbols will enter 1x1 BlockMatrix if it simplifies + Ab = BlockMatrix([[A]]) + Z = MatrixSymbol('Z', *A.shape) + assert block_collapse(Ab + Z) == A + Z + +def test_block_collapse_explicit_matrices(): + A = Matrix([[1, 2], [3, 4]]) + assert block_collapse(BlockMatrix([[A]])) == A + + A = ImmutableSparseMatrix([[1, 2], [3, 4]]) + assert block_collapse(BlockMatrix([[A]])) == A + +def test_issue_17624(): + a = MatrixSymbol("a", 2, 2) + z = ZeroMatrix(2, 2) + b = BlockMatrix([[a, z], [z, z]]) + assert block_collapse(b * b) == BlockMatrix([[a**2, z], [z, z]]) + assert block_collapse(b * b * b) == BlockMatrix([[a**3, z], [z, z]]) + +def test_issue_18618(): + A = Matrix([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) + assert A == Matrix(BlockDiagMatrix(A)) + +def test_BlockMatrix_trace(): + A, B, C, D = [MatrixSymbol(s, 3, 3) for s in 'ABCD'] + X = BlockMatrix([[A, B], [C, D]]) + assert trace(X) == trace(A) + trace(D) + assert trace(BlockMatrix([ZeroMatrix(n, n)])) == 0 + +def test_BlockMatrix_Determinant(): + A, B, C, D = [MatrixSymbol(s, 3, 3) for s in 'ABCD'] + X = BlockMatrix([[A, B], [C, D]]) + from sympy.assumptions.ask import Q + from sympy.assumptions.assume import assuming + with assuming(Q.invertible(A)): + assert det(X) == det(A) * det(X.schur('A')) + + assert isinstance(det(X), Expr) + assert det(BlockMatrix([A])) == det(A) + assert det(BlockMatrix([ZeroMatrix(n, n)])) == 0 + +def test_squareBlockMatrix(): + A = MatrixSymbol('A', n, n) + B = MatrixSymbol('B', n, m) + C = MatrixSymbol('C', m, n) + D = MatrixSymbol('D', m, m) + X = BlockMatrix([[A, B], [C, D]]) + Y = BlockMatrix([[A]]) + + assert X.is_square + + Q = X + Identity(m + n) + assert (block_collapse(Q) == + BlockMatrix([[A + Identity(n), B], [C, D + Identity(m)]])) + + assert (X + MatrixSymbol('Q', n + m, n + m)).is_MatAdd + assert (X * MatrixSymbol('Q', n + m, n + m)).is_MatMul + + assert block_collapse(Y.I) == A.I + + assert isinstance(X.inverse(), Inverse) + + assert not X.is_Identity + + Z = BlockMatrix([[Identity(n), B], [C, D]]) + assert not Z.is_Identity + + +def test_BlockMatrix_2x2_inverse_symbolic(): + A = MatrixSymbol('A', n, m) + B = MatrixSymbol('B', n, k - m) + C = MatrixSymbol('C', k - n, m) + D = MatrixSymbol('D', k - n, k - m) + X = BlockMatrix([[A, B], [C, D]]) + assert X.is_square and X.shape == (k, k) + assert isinstance(block_collapse(X.I), Inverse) # Can't invert when none of the blocks is square + + # test code path where only A is invertible + A = MatrixSymbol('A', n, n) + B = MatrixSymbol('B', n, m) + C = MatrixSymbol('C', m, n) + D = ZeroMatrix(m, m) + X = BlockMatrix([[A, B], [C, D]]) + assert block_collapse(X.inverse()) == BlockMatrix([ + [A.I + A.I * B * X.schur('A').I * C * A.I, -A.I * B * X.schur('A').I], + [-X.schur('A').I * C * A.I, X.schur('A').I], + ]) + + # test code path where only B is invertible + A = MatrixSymbol('A', n, m) + B = MatrixSymbol('B', n, n) + C = ZeroMatrix(m, m) + D = MatrixSymbol('D', m, n) + X = BlockMatrix([[A, B], [C, D]]) + assert block_collapse(X.inverse()) == BlockMatrix([ + [-X.schur('B').I * D * B.I, X.schur('B').I], + [B.I + B.I * A * X.schur('B').I * D * B.I, -B.I * A * X.schur('B').I], + ]) + + # test code path where only C is invertible + A = MatrixSymbol('A', n, m) + B = ZeroMatrix(n, n) + C = MatrixSymbol('C', m, m) + D = MatrixSymbol('D', m, n) + X = BlockMatrix([[A, B], [C, D]]) + assert block_collapse(X.inverse()) == BlockMatrix([ + [-C.I * D * X.schur('C').I, C.I + C.I * D * X.schur('C').I * A * C.I], + [X.schur('C').I, -X.schur('C').I * A * C.I], + ]) + + # test code path where only D is invertible + A = ZeroMatrix(n, n) + B = MatrixSymbol('B', n, m) + C = MatrixSymbol('C', m, n) + D = MatrixSymbol('D', m, m) + X = BlockMatrix([[A, B], [C, D]]) + assert block_collapse(X.inverse()) == BlockMatrix([ + [X.schur('D').I, -X.schur('D').I * B * D.I], + [-D.I * C * X.schur('D').I, D.I + D.I * C * X.schur('D').I * B * D.I], + ]) + + +def test_BlockMatrix_2x2_inverse_numeric(): + """Test 2x2 block matrix inversion numerically for all 4 formulas""" + M = Matrix([[1, 2], [3, 4]]) + # rank deficient matrices that have full rank when two of them combined + D1 = Matrix([[1, 2], [2, 4]]) + D2 = Matrix([[1, 3], [3, 9]]) + D3 = Matrix([[1, 4], [4, 16]]) + assert D1.rank() == D2.rank() == D3.rank() == 1 + assert (D1 + D2).rank() == (D2 + D3).rank() == (D3 + D1).rank() == 2 + + # Only A is invertible + K = BlockMatrix([[M, D1], [D2, D3]]) + assert block_collapse(K.inv()).as_explicit() == K.as_explicit().inv() + # Only B is invertible + K = BlockMatrix([[D1, M], [D2, D3]]) + assert block_collapse(K.inv()).as_explicit() == K.as_explicit().inv() + # Only C is invertible + K = BlockMatrix([[D1, D2], [M, D3]]) + assert block_collapse(K.inv()).as_explicit() == K.as_explicit().inv() + # Only D is invertible + K = BlockMatrix([[D1, D2], [D3, M]]) + assert block_collapse(K.inv()).as_explicit() == K.as_explicit().inv() + + +@slow +def test_BlockMatrix_3x3_symbolic(): + # Only test one of these, instead of all permutations, because it's slow + rowblocksizes = (n, m, k) + colblocksizes = (m, k, n) + K = BlockMatrix([ + [MatrixSymbol('M%s%s' % (rows, cols), rows, cols) for cols in colblocksizes] + for rows in rowblocksizes + ]) + collapse = block_collapse(K.I) + assert isinstance(collapse, BlockMatrix) + + +def test_BlockDiagMatrix(): + A = MatrixSymbol('A', n, n) + B = MatrixSymbol('B', m, m) + C = MatrixSymbol('C', l, l) + M = MatrixSymbol('M', n + m + l, n + m + l) + + X = BlockDiagMatrix(A, B, C) + Y = BlockDiagMatrix(A, 2*B, 3*C) + + assert X.blocks[1, 1] == B + assert X.shape == (n + m + l, n + m + l) + assert all(X.blocks[i, j].is_ZeroMatrix if i != j else X.blocks[i, j] in [A, B, C] + for i in range(3) for j in range(3)) + assert X.__class__(*X.args) == X + assert X.get_diag_blocks() == (A, B, C) + + assert isinstance(block_collapse(X.I * X), Identity) + + assert bc_matmul(X*X) == BlockDiagMatrix(A*A, B*B, C*C) + assert block_collapse(X*X) == BlockDiagMatrix(A*A, B*B, C*C) + #XXX: should be == ?? + assert block_collapse(X + X).equals(BlockDiagMatrix(2*A, 2*B, 2*C)) + assert block_collapse(X*Y) == BlockDiagMatrix(A*A, 2*B*B, 3*C*C) + assert block_collapse(X + Y) == BlockDiagMatrix(2*A, 3*B, 4*C) + + # Ensure that BlockDiagMatrices can still interact with normal MatrixExprs + assert (X*(2*M)).is_MatMul + assert (X + (2*M)).is_MatAdd + + assert (X._blockmul(M)).is_MatMul + assert (X._blockadd(M)).is_MatAdd + +def test_BlockDiagMatrix_nonsquare(): + A = MatrixSymbol('A', n, m) + B = MatrixSymbol('B', k, l) + X = BlockDiagMatrix(A, B) + assert X.shape == (n + k, m + l) + assert X.shape == (n + k, m + l) + assert X.rowblocksizes == [n, k] + assert X.colblocksizes == [m, l] + C = MatrixSymbol('C', n, m) + D = MatrixSymbol('D', k, l) + Y = BlockDiagMatrix(C, D) + assert block_collapse(X + Y) == BlockDiagMatrix(A + C, B + D) + assert block_collapse(X * Y.T) == BlockDiagMatrix(A * C.T, B * D.T) + raises(NonInvertibleMatrixError, lambda: BlockDiagMatrix(A, C.T).inverse()) + +def test_BlockDiagMatrix_determinant(): + A = MatrixSymbol('A', n, n) + B = MatrixSymbol('B', m, m) + assert det(BlockDiagMatrix()) == 1 + assert det(BlockDiagMatrix(A)) == det(A) + assert det(BlockDiagMatrix(A, B)) == det(A) * det(B) + + # non-square blocks + C = MatrixSymbol('C', m, n) + D = MatrixSymbol('D', n, m) + assert det(BlockDiagMatrix(C, D)) == 0 + +def test_BlockDiagMatrix_trace(): + assert trace(BlockDiagMatrix()) == 0 + assert trace(BlockDiagMatrix(ZeroMatrix(n, n))) == 0 + A = MatrixSymbol('A', n, n) + assert trace(BlockDiagMatrix(A)) == trace(A) + B = MatrixSymbol('B', m, m) + assert trace(BlockDiagMatrix(A, B)) == trace(A) + trace(B) + + # non-square blocks + C = MatrixSymbol('C', m, n) + D = MatrixSymbol('D', n, m) + assert isinstance(trace(BlockDiagMatrix(C, D)), Trace) + +def test_BlockDiagMatrix_transpose(): + A = MatrixSymbol('A', n, m) + B = MatrixSymbol('B', k, l) + assert transpose(BlockDiagMatrix()) == BlockDiagMatrix() + assert transpose(BlockDiagMatrix(A)) == BlockDiagMatrix(A.T) + assert transpose(BlockDiagMatrix(A, B)) == BlockDiagMatrix(A.T, B.T) + +def test_issue_2460(): + bdm1 = BlockDiagMatrix(Matrix([i]), Matrix([j])) + bdm2 = BlockDiagMatrix(Matrix([k]), Matrix([l])) + assert block_collapse(bdm1 + bdm2) == BlockDiagMatrix(Matrix([i + k]), Matrix([j + l])) + +def test_blockcut(): + A = MatrixSymbol('A', n, m) + B = blockcut(A, (n/2, n/2), (m/2, m/2)) + assert B == BlockMatrix([[A[:n/2, :m/2], A[:n/2, m/2:]], + [A[n/2:, :m/2], A[n/2:, m/2:]]]) + + M = ImmutableMatrix(4, 4, range(16)) + B = blockcut(M, (2, 2), (2, 2)) + assert M == ImmutableMatrix(B) + + B = blockcut(M, (1, 3), (2, 2)) + assert ImmutableMatrix(B.blocks[0, 1]) == ImmutableMatrix([[2, 3]]) + +def test_reblock_2x2(): + B = BlockMatrix([[MatrixSymbol('A_%d%d'%(i,j), 2, 2) + for j in range(3)] + for i in range(3)]) + assert B.blocks.shape == (3, 3) + + BB = reblock_2x2(B) + assert BB.blocks.shape == (2, 2) + + assert B.shape == BB.shape + assert B.as_explicit() == BB.as_explicit() + +def test_deblock(): + B = BlockMatrix([[MatrixSymbol('A_%d%d'%(i,j), n, n) + for j in range(4)] + for i in range(4)]) + + assert deblock(reblock_2x2(B)) == B + +def test_block_collapse_type(): + bm1 = BlockDiagMatrix(ImmutableMatrix([1]), ImmutableMatrix([2])) + bm2 = BlockDiagMatrix(ImmutableMatrix([3]), ImmutableMatrix([4])) + + assert bm1.T.__class__ == BlockDiagMatrix + assert block_collapse(bm1 - bm2).__class__ == BlockDiagMatrix + assert block_collapse(Inverse(bm1)).__class__ == BlockDiagMatrix + assert block_collapse(Transpose(bm1)).__class__ == BlockDiagMatrix + assert bc_transpose(Transpose(bm1)).__class__ == BlockDiagMatrix + assert bc_inverse(Inverse(bm1)).__class__ == BlockDiagMatrix + +def test_invalid_block_matrix(): + raises(ValueError, lambda: BlockMatrix([ + [Identity(2), Identity(5)], + ])) + raises(ValueError, lambda: BlockMatrix([ + [Identity(n), Identity(m)], + ])) + raises(ValueError, lambda: BlockMatrix([ + [ZeroMatrix(n, n), ZeroMatrix(n, n)], + [ZeroMatrix(n, n - 1), ZeroMatrix(n, n + 1)], + ])) + raises(ValueError, lambda: BlockMatrix([ + [ZeroMatrix(n - 1, n), ZeroMatrix(n, n)], + [ZeroMatrix(n + 1, n), ZeroMatrix(n, n)], + ])) + +def test_block_lu_decomposition(): + A = MatrixSymbol('A', n, n) + B = MatrixSymbol('B', n, m) + C = MatrixSymbol('C', m, n) + D = MatrixSymbol('D', m, m) + X = BlockMatrix([[A, B], [C, D]]) + + #LDU decomposition + L, D, U = X.LDUdecomposition() + assert block_collapse(L*D*U) == X + + #UDL decomposition + U, D, L = X.UDLdecomposition() + assert block_collapse(U*D*L) == X + + #LU decomposition + L, U = X.LUdecomposition() + assert block_collapse(L*U) == X + +def test_issue_21866(): + n = 10 + I = Identity(n) + O = ZeroMatrix(n, n) + A = BlockMatrix([[ I, O, O, O ], + [ O, I, O, O ], + [ O, O, I, O ], + [ I, O, O, I ]]) + Ainv = block_collapse(A.inv()) + AinvT = BlockMatrix([[ I, O, O, O ], + [ O, I, O, O ], + [ O, O, I, O ], + [ -I, O, O, I ]]) + assert Ainv == AinvT + + +def test_adjoint_and_special_matrices(): + A = Identity(3) + B = OneMatrix(3, 2) + C = ZeroMatrix(2, 3) + D = Identity(2) + X = BlockMatrix([[A, B], [C, D]]) + X2 = BlockMatrix([[A, S.ImaginaryUnit*B], [C, D]]) + assert X.adjoint() == BlockMatrix([[A, ZeroMatrix(3, 2)], [OneMatrix(2, 3), D]]) + assert re(X) == X + assert X2.adjoint() == BlockMatrix([[A, ZeroMatrix(3, 2)], [-S.ImaginaryUnit*OneMatrix(2, 3), D]]) + assert im(X2) == BlockMatrix([[ZeroMatrix(3, 3), OneMatrix(3, 2)], [ZeroMatrix(2, 3), ZeroMatrix(2, 2)]]) + + +def test_block_matrix_derivative(): + x = symbols('x') + A = Matrix(3, 3, [Function(f'a{i}')(x) for i in range(9)]) + bc = BlockMatrix([[A[:2, :2], A[:2, 2]], [A[2, :2], A[2:, 2]]]) + assert Matrix(bc.diff(x)) - A.diff(x) == zeros(3, 3) + + +def test_transpose_inverse_commute(): + n = Symbol('n') + I = Identity(n) + Z = ZeroMatrix(n, n) + A = BlockMatrix([[I, Z], [Z, I]]) + + assert block_collapse(A.transpose().inverse()) == A + assert block_collapse(A.inverse().transpose()) == A + + assert block_collapse(MatPow(A.transpose(), -2)) == MatPow(A, -2) + assert block_collapse(MatPow(A, -2).transpose()) == MatPow(A, -2) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_companion.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_companion.py new file mode 100644 index 0000000000000000000000000000000000000000..edc592c29098eddce0c6352806aa73d5d889e999 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_companion.py @@ -0,0 +1,48 @@ +from sympy.core.expr import unchanged +from sympy.core.symbol import Symbol, symbols +from sympy.matrices.immutable import ImmutableDenseMatrix +from sympy.matrices.expressions.companion import CompanionMatrix +from sympy.polys.polytools import Poly +from sympy.testing.pytest import raises + + +def test_creation(): + x = Symbol('x') + y = Symbol('y') + raises(ValueError, lambda: CompanionMatrix(1)) + raises(ValueError, lambda: CompanionMatrix(Poly([1], x))) + raises(ValueError, lambda: CompanionMatrix(Poly([2, 1], x))) + raises(ValueError, lambda: CompanionMatrix(Poly(x*y, [x, y]))) + assert unchanged(CompanionMatrix, Poly([1, 2, 3], x)) + + +def test_shape(): + c0, c1, c2 = symbols('c0:3') + x = Symbol('x') + assert CompanionMatrix(Poly([1, c0], x)).shape == (1, 1) + assert CompanionMatrix(Poly([1, c1, c0], x)).shape == (2, 2) + assert CompanionMatrix(Poly([1, c2, c1, c0], x)).shape == (3, 3) + + +def test_entry(): + c0, c1, c2 = symbols('c0:3') + x = Symbol('x') + A = CompanionMatrix(Poly([1, c2, c1, c0], x)) + assert A[0, 0] == 0 + assert A[1, 0] == 1 + assert A[1, 1] == 0 + assert A[2, 1] == 1 + assert A[0, 2] == -c0 + assert A[1, 2] == -c1 + assert A[2, 2] == -c2 + + +def test_as_explicit(): + c0, c1, c2 = symbols('c0:3') + x = Symbol('x') + assert CompanionMatrix(Poly([1, c0], x)).as_explicit() == \ + ImmutableDenseMatrix([-c0]) + assert CompanionMatrix(Poly([1, c1, c0], x)).as_explicit() == \ + ImmutableDenseMatrix([[0, -c0], [1, -c1]]) + assert CompanionMatrix(Poly([1, c2, c1, c0], x)).as_explicit() == \ + ImmutableDenseMatrix([[0, 0, -c0], [1, 0, -c1], [0, 1, -c2]]) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_derivatives.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_derivatives.py new file mode 100644 index 0000000000000000000000000000000000000000..77484c994dda62eea9771a76afd8b3caeadacb93 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_derivatives.py @@ -0,0 +1,477 @@ +""" +Some examples have been taken from: + +http://www.math.uwaterloo.ca/~hwolkowi//matrixcookbook.pdf +""" +from sympy import KroneckerProduct +from sympy.combinatorics import Permutation +from sympy.concrete.summations import Sum +from sympy.core.numbers import Rational +from sympy.core.singleton import S +from sympy.core.symbol import symbols +from sympy.functions.elementary.exponential import (exp, log) +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.trigonometric import (cos, sin, tan) +from sympy.functions.special.tensor_functions import KroneckerDelta +from sympy.matrices.expressions.determinant import Determinant +from sympy.matrices.expressions.diagonal import DiagMatrix +from sympy.matrices.expressions.hadamard import (HadamardPower, HadamardProduct, hadamard_product) +from sympy.matrices.expressions.inverse import Inverse +from sympy.matrices.expressions.matexpr import MatrixSymbol +from sympy.matrices.expressions.special import OneMatrix +from sympy.matrices.expressions.trace import Trace +from sympy.matrices.expressions.matadd import MatAdd +from sympy.matrices.expressions.matmul import MatMul +from sympy.matrices.expressions.special import (Identity, ZeroMatrix) +from sympy.tensor.array.array_derivatives import ArrayDerivative +from sympy.matrices.expressions import hadamard_power +from sympy.tensor.array.expressions.array_expressions import ArrayAdd, ArrayTensorProduct, PermuteDims + +i, j, k = symbols("i j k") +m, n = symbols("m n") + +X = MatrixSymbol("X", k, k) +x = MatrixSymbol("x", k, 1) +y = MatrixSymbol("y", k, 1) + +A = MatrixSymbol("A", k, k) +B = MatrixSymbol("B", k, k) +C = MatrixSymbol("C", k, k) +D = MatrixSymbol("D", k, k) + +a = MatrixSymbol("a", k, 1) +b = MatrixSymbol("b", k, 1) +c = MatrixSymbol("c", k, 1) +d = MatrixSymbol("d", k, 1) + + +KDelta = lambda i, j: KroneckerDelta(i, j, (0, k-1)) + + +def _check_derivative_with_explicit_matrix(expr, x, diffexpr, dim=2): + # TODO: this is commented because it slows down the tests. + return + + expr = expr.xreplace({k: dim}) + x = x.xreplace({k: dim}) + diffexpr = diffexpr.xreplace({k: dim}) + + expr = expr.as_explicit() + x = x.as_explicit() + diffexpr = diffexpr.as_explicit() + + assert expr.diff(x).reshape(*diffexpr.shape).tomatrix() == diffexpr + + +def test_matrix_derivative_by_scalar(): + assert A.diff(i) == ZeroMatrix(k, k) + assert (A*(X + B)*c).diff(i) == ZeroMatrix(k, 1) + assert x.diff(i) == ZeroMatrix(k, 1) + assert (x.T*y).diff(i) == ZeroMatrix(1, 1) + assert (x*x.T).diff(i) == ZeroMatrix(k, k) + assert (x + y).diff(i) == ZeroMatrix(k, 1) + assert hadamard_power(x, 2).diff(i) == ZeroMatrix(k, 1) + assert hadamard_power(x, i).diff(i).dummy_eq( + HadamardProduct(x.applyfunc(log), HadamardPower(x, i))) + assert hadamard_product(x, y).diff(i) == ZeroMatrix(k, 1) + assert hadamard_product(i*OneMatrix(k, 1), x, y).diff(i) == hadamard_product(x, y) + assert (i*x).diff(i) == x + assert (sin(i)*A*B*x).diff(i) == cos(i)*A*B*x + assert x.applyfunc(sin).diff(i) == ZeroMatrix(k, 1) + assert Trace(i**2*X).diff(i) == 2*i*Trace(X) + + mu = symbols("mu") + expr = (2*mu*x) + assert expr.diff(x) == 2*mu*Identity(k) + + +def test_one_matrix(): + assert MatMul(x.T, OneMatrix(k, 1)).diff(x) == OneMatrix(k, 1) + + +def test_matrix_derivative_non_matrix_result(): + # This is a 4-dimensional array: + I = Identity(k) + AdA = PermuteDims(ArrayTensorProduct(I, I), Permutation(3)(1, 2)) + assert A.diff(A) == AdA + assert A.T.diff(A) == PermuteDims(ArrayTensorProduct(I, I), Permutation(3)(1, 2, 3)) + assert (2*A).diff(A) == PermuteDims(ArrayTensorProduct(2*I, I), Permutation(3)(1, 2)) + assert MatAdd(A, A).diff(A) == ArrayAdd(AdA, AdA) + assert (A + B).diff(A) == AdA + + +def test_matrix_derivative_trivial_cases(): + # Cookbook example 33: + # TODO: find a way to represent a four-dimensional zero-array: + assert X.diff(A) == ArrayDerivative(X, A) + + +def test_matrix_derivative_with_inverse(): + + # Cookbook example 61: + expr = a.T*Inverse(X)*b + assert expr.diff(X) == -Inverse(X).T*a*b.T*Inverse(X).T + + # Cookbook example 62: + expr = Determinant(Inverse(X)) + # Not implemented yet: + # assert expr.diff(X) == -Determinant(X.inv())*(X.inv()).T + + # Cookbook example 63: + expr = Trace(A*Inverse(X)*B) + assert expr.diff(X) == -(X**(-1)*B*A*X**(-1)).T + + # Cookbook example 64: + expr = Trace(Inverse(X + A)) + assert expr.diff(X) == -(Inverse(X + A)).T**2 + + +def test_matrix_derivative_vectors_and_scalars(): + + assert x.diff(x) == Identity(k) + assert x[i, 0].diff(x[m, 0]).doit() == KDelta(m, i) + + assert x.T.diff(x) == Identity(k) + + # Cookbook example 69: + expr = x.T*a + assert expr.diff(x) == a + assert expr[0, 0].diff(x[m, 0]).doit() == a[m, 0] + expr = a.T*x + assert expr.diff(x) == a + + # Cookbook example 70: + expr = a.T*X*b + assert expr.diff(X) == a*b.T + + # Cookbook example 71: + expr = a.T*X.T*b + assert expr.diff(X) == b*a.T + + # Cookbook example 72: + expr = a.T*X*a + assert expr.diff(X) == a*a.T + expr = a.T*X.T*a + assert expr.diff(X) == a*a.T + + # Cookbook example 77: + expr = b.T*X.T*X*c + assert expr.diff(X) == X*b*c.T + X*c*b.T + + # Cookbook example 78: + expr = (B*x + b).T*C*(D*x + d) + assert expr.diff(x) == B.T*C*(D*x + d) + D.T*C.T*(B*x + b) + + # Cookbook example 81: + expr = x.T*B*x + assert expr.diff(x) == B*x + B.T*x + + # Cookbook example 82: + expr = b.T*X.T*D*X*c + assert expr.diff(X) == D.T*X*b*c.T + D*X*c*b.T + + # Cookbook example 83: + expr = (X*b + c).T*D*(X*b + c) + assert expr.diff(X) == D*(X*b + c)*b.T + D.T*(X*b + c)*b.T + assert str(expr[0, 0].diff(X[m, n]).doit()) == \ + 'b[n, 0]*Sum((c[_i_1, 0] + Sum(X[_i_1, _i_3]*b[_i_3, 0], (_i_3, 0, k - 1)))*D[_i_1, m], (_i_1, 0, k - 1)) + Sum((c[_i_2, 0] + Sum(X[_i_2, _i_4]*b[_i_4, 0], (_i_4, 0, k - 1)))*D[m, _i_2]*b[n, 0], (_i_2, 0, k - 1))' + + # See https://github.com/sympy/sympy/issues/16504#issuecomment-1018339957 + expr = x*x.T*x + I = Identity(k) + assert expr.diff(x) == KroneckerProduct(I, x.T*x) + 2*x*x.T + + +def test_matrix_derivatives_of_traces(): + + expr = Trace(A)*A + I = Identity(k) + assert expr.diff(A) == ArrayAdd(ArrayTensorProduct(I, A), PermuteDims(ArrayTensorProduct(Trace(A)*I, I), Permutation(3)(1, 2))) + assert expr[i, j].diff(A[m, n]).doit() == ( + KDelta(i, m)*KDelta(j, n)*Trace(A) + + KDelta(m, n)*A[i, j] + ) + + ## First order: + + # Cookbook example 99: + expr = Trace(X) + assert expr.diff(X) == Identity(k) + assert expr.rewrite(Sum).diff(X[m, n]).doit() == KDelta(m, n) + + # Cookbook example 100: + expr = Trace(X*A) + assert expr.diff(X) == A.T + assert expr.rewrite(Sum).diff(X[m, n]).doit() == A[n, m] + + # Cookbook example 101: + expr = Trace(A*X*B) + assert expr.diff(X) == A.T*B.T + assert expr.rewrite(Sum).diff(X[m, n]).doit().dummy_eq((A.T*B.T)[m, n]) + + # Cookbook example 102: + expr = Trace(A*X.T*B) + assert expr.diff(X) == B*A + + # Cookbook example 103: + expr = Trace(X.T*A) + assert expr.diff(X) == A + + # Cookbook example 104: + expr = Trace(A*X.T) + assert expr.diff(X) == A + + # Cookbook example 105: + # TODO: TensorProduct is not supported + #expr = Trace(TensorProduct(A, X)) + #assert expr.diff(X) == Trace(A)*Identity(k) + + ## Second order: + + # Cookbook example 106: + expr = Trace(X**2) + assert expr.diff(X) == 2*X.T + + # Cookbook example 107: + expr = Trace(X**2*B) + assert expr.diff(X) == (X*B + B*X).T + expr = Trace(MatMul(X, X, B)) + assert expr.diff(X) == (X*B + B*X).T + + # Cookbook example 108: + expr = Trace(X.T*B*X) + assert expr.diff(X) == B*X + B.T*X + + # Cookbook example 109: + expr = Trace(B*X*X.T) + assert expr.diff(X) == B*X + B.T*X + + # Cookbook example 110: + expr = Trace(X*X.T*B) + assert expr.diff(X) == B*X + B.T*X + + # Cookbook example 111: + expr = Trace(X*B*X.T) + assert expr.diff(X) == X*B.T + X*B + + # Cookbook example 112: + expr = Trace(B*X.T*X) + assert expr.diff(X) == X*B.T + X*B + + # Cookbook example 113: + expr = Trace(X.T*X*B) + assert expr.diff(X) == X*B.T + X*B + + # Cookbook example 114: + expr = Trace(A*X*B*X) + assert expr.diff(X) == A.T*X.T*B.T + B.T*X.T*A.T + + # Cookbook example 115: + expr = Trace(X.T*X) + assert expr.diff(X) == 2*X + expr = Trace(X*X.T) + assert expr.diff(X) == 2*X + + # Cookbook example 116: + expr = Trace(B.T*X.T*C*X*B) + assert expr.diff(X) == C.T*X*B*B.T + C*X*B*B.T + + # Cookbook example 117: + expr = Trace(X.T*B*X*C) + assert expr.diff(X) == B*X*C + B.T*X*C.T + + # Cookbook example 118: + expr = Trace(A*X*B*X.T*C) + assert expr.diff(X) == A.T*C.T*X*B.T + C*A*X*B + + # Cookbook example 119: + expr = Trace((A*X*B + C)*(A*X*B + C).T) + assert expr.diff(X) == 2*A.T*(A*X*B + C)*B.T + + # Cookbook example 120: + # TODO: no support for TensorProduct. + # expr = Trace(TensorProduct(X, X)) + # expr = Trace(X)*Trace(X) + # expr.diff(X) == 2*Trace(X)*Identity(k) + + # Higher Order + + # Cookbook example 121: + expr = Trace(X**k) + #assert expr.diff(X) == k*(X**(k-1)).T + + # Cookbook example 122: + expr = Trace(A*X**k) + #assert expr.diff(X) == # Needs indices + + # Cookbook example 123: + expr = Trace(B.T*X.T*C*X*X.T*C*X*B) + assert expr.diff(X) == C*X*X.T*C*X*B*B.T + C.T*X*B*B.T*X.T*C.T*X + C*X*B*B.T*X.T*C*X + C.T*X*X.T*C.T*X*B*B.T + + # Other + + # Cookbook example 124: + expr = Trace(A*X**(-1)*B) + assert expr.diff(X) == -Inverse(X).T*A.T*B.T*Inverse(X).T + + # Cookbook example 125: + expr = Trace(Inverse(X.T*C*X)*A) + # Warning: result in the cookbook is equivalent if B and C are symmetric: + assert expr.diff(X) == - X.inv().T*A.T*X.inv()*C.inv().T*X.inv().T - X.inv().T*A*X.inv()*C.inv()*X.inv().T + + # Cookbook example 126: + expr = Trace((X.T*C*X).inv()*(X.T*B*X)) + assert expr.diff(X) == -2*C*X*(X.T*C*X).inv()*X.T*B*X*(X.T*C*X).inv() + 2*B*X*(X.T*C*X).inv() + + # Cookbook example 127: + expr = Trace((A + X.T*C*X).inv()*(X.T*B*X)) + # Warning: result in the cookbook is equivalent if B and C are symmetric: + assert expr.diff(X) == B*X*Inverse(A + X.T*C*X) - C*X*Inverse(A + X.T*C*X)*X.T*B*X*Inverse(A + X.T*C*X) - C.T*X*Inverse(A.T + (C*X).T*X)*X.T*B.T*X*Inverse(A.T + (C*X).T*X) + B.T*X*Inverse(A.T + (C*X).T*X) + + +def test_derivatives_of_complicated_matrix_expr(): + expr = a.T*(A*X*(X.T*B + X*A) + B.T*X.T*(a*b.T*(X*D*X.T + X*(X.T*B + A*X)*D*B - X.T*C.T*A)*B + B*(X*D.T + B*A*X*A.T - 3*X*D))*B + 42*X*B*X.T*A.T*(X + X.T))*b + result = (B*(B*A*X*A.T - 3*X*D + X*D.T) + a*b.T*(X*(A*X + X.T*B)*D*B + X*D*X.T - X.T*C.T*A)*B)*B*b*a.T*B.T + B**2*b*a.T*B.T*X.T*a*b.T*X*D + 42*A*X*B.T*X.T*a*b.T + B*D*B**3*b*a.T*B.T*X.T*a*b.T*X + B*b*a.T*A*X + a*b.T*(42*X + 42*X.T)*A*X*B.T + b*a.T*X*B*a*b.T*B.T**2*X*D.T + b*a.T*X*B*a*b.T*B.T**3*D.T*(B.T*X + X.T*A.T) + 42*b*a.T*X*B*X.T*A.T + A.T*(42*X + 42*X.T)*b*a.T*X*B + A.T*B.T**2*X*B*a*b.T*B.T*A + A.T*a*b.T*(A.T*X.T + B.T*X) + A.T*X.T*b*a.T*X*B*a*b.T*B.T**3*D.T + B.T*X*B*a*b.T*B.T*D - 3*B.T*X*B*a*b.T*B.T*D.T - C.T*A*B**2*b*a.T*B.T*X.T*a*b.T + X.T*A.T*a*b.T*A.T + assert expr.diff(X) == result + + +def test_mixed_deriv_mixed_expressions(): + + expr = 3*Trace(A) + assert expr.diff(A) == 3*Identity(k) + + expr = k + deriv = expr.diff(A) + assert isinstance(deriv, ZeroMatrix) + assert deriv == ZeroMatrix(k, k) + + expr = Trace(A)**2 + assert expr.diff(A) == (2*Trace(A))*Identity(k) + + expr = Trace(A)*A + I = Identity(k) + assert expr.diff(A) == ArrayAdd(ArrayTensorProduct(I, A), PermuteDims(ArrayTensorProduct(Trace(A)*I, I), Permutation(3)(1, 2))) + + expr = Trace(Trace(A)*A) + assert expr.diff(A) == (2*Trace(A))*Identity(k) + + expr = Trace(Trace(Trace(A)*A)*A) + assert expr.diff(A) == (3*Trace(A)**2)*Identity(k) + + +def test_derivatives_matrix_norms(): + + expr = x.T*y + assert expr.diff(x) == y + assert expr[0, 0].diff(x[m, 0]).doit() == y[m, 0] + + expr = (x.T*y)**S.Half + assert expr.diff(x) == y/(2*sqrt(x.T*y)) + + expr = (x.T*x)**S.Half + assert expr.diff(x) == x*(x.T*x)**Rational(-1, 2) + + expr = (c.T*a*x.T*b)**S.Half + assert expr.diff(x) == b*a.T*c/sqrt(c.T*a*x.T*b)/2 + + expr = (c.T*a*x.T*b)**Rational(1, 3) + assert expr.diff(x) == b*a.T*c*(c.T*a*x.T*b)**Rational(-2, 3)/3 + + expr = (a.T*X*b)**S.Half + assert expr.diff(X) == a/(2*sqrt(a.T*X*b))*b.T + + expr = d.T*x*(a.T*X*b)**S.Half*y.T*c + assert expr.diff(X) == a/(2*sqrt(a.T*X*b))*x.T*d*y.T*c*b.T + + +def test_derivatives_elementwise_applyfunc(): + + expr = x.applyfunc(tan) + assert expr.diff(x).dummy_eq( + DiagMatrix(x.applyfunc(lambda x: tan(x)**2 + 1))) + assert expr[i, 0].diff(x[m, 0]).doit() == (tan(x[i, 0])**2 + 1)*KDelta(i, m) + _check_derivative_with_explicit_matrix(expr, x, expr.diff(x)) + + expr = (i**2*x).applyfunc(sin) + assert expr.diff(i).dummy_eq( + HadamardProduct((2*i)*x, (i**2*x).applyfunc(cos))) + assert expr[i, 0].diff(i).doit() == 2*i*x[i, 0]*cos(i**2*x[i, 0]) + _check_derivative_with_explicit_matrix(expr, i, expr.diff(i)) + + expr = (log(i)*A*B).applyfunc(sin) + assert expr.diff(i).dummy_eq( + HadamardProduct(A*B/i, (log(i)*A*B).applyfunc(cos))) + _check_derivative_with_explicit_matrix(expr, i, expr.diff(i)) + + expr = A*x.applyfunc(exp) + # TODO: restore this result (currently returning the transpose): + # assert expr.diff(x).dummy_eq(DiagMatrix(x.applyfunc(exp))*A.T) + _check_derivative_with_explicit_matrix(expr, x, expr.diff(x)) + + expr = x.T*A*x + k*y.applyfunc(sin).T*x + assert expr.diff(x).dummy_eq(A.T*x + A*x + k*y.applyfunc(sin)) + _check_derivative_with_explicit_matrix(expr, x, expr.diff(x)) + + expr = x.applyfunc(sin).T*y + # TODO: restore (currently returning the transpose): + # assert expr.diff(x).dummy_eq(DiagMatrix(x.applyfunc(cos))*y) + _check_derivative_with_explicit_matrix(expr, x, expr.diff(x)) + + expr = (a.T * X * b).applyfunc(sin) + assert expr.diff(X).dummy_eq(a*(a.T*X*b).applyfunc(cos)*b.T) + _check_derivative_with_explicit_matrix(expr, X, expr.diff(X)) + + expr = a.T * X.applyfunc(sin) * b + assert expr.diff(X).dummy_eq( + DiagMatrix(a)*X.applyfunc(cos)*DiagMatrix(b)) + _check_derivative_with_explicit_matrix(expr, X, expr.diff(X)) + + expr = a.T * (A*X*B).applyfunc(sin) * b + assert expr.diff(X).dummy_eq( + A.T*DiagMatrix(a)*(A*X*B).applyfunc(cos)*DiagMatrix(b)*B.T) + _check_derivative_with_explicit_matrix(expr, X, expr.diff(X)) + + expr = a.T * (A*X*b).applyfunc(sin) * b.T + # TODO: not implemented + #assert expr.diff(X) == ... + #_check_derivative_with_explicit_matrix(expr, X, expr.diff(X)) + + expr = a.T*A*X.applyfunc(sin)*B*b + assert expr.diff(X).dummy_eq( + HadamardProduct(A.T * a * b.T * B.T, X.applyfunc(cos))) + + expr = a.T * (A*X.applyfunc(sin)*B).applyfunc(log) * b + # TODO: wrong + # assert expr.diff(X) == A.T*DiagMatrix(a)*(A*X.applyfunc(sin)*B).applyfunc(Lambda(k, 1/k))*DiagMatrix(b)*B.T + + expr = a.T * (X.applyfunc(sin)).applyfunc(log) * b + # TODO: wrong + # assert expr.diff(X) == DiagMatrix(a)*X.applyfunc(sin).applyfunc(Lambda(k, 1/k))*DiagMatrix(b) + + +def test_derivatives_of_hadamard_expressions(): + + # Hadamard Product + + expr = hadamard_product(a, x, b) + assert expr.diff(x) == DiagMatrix(hadamard_product(b, a)) + + expr = a.T*hadamard_product(A, X, B)*b + assert expr.diff(X) == HadamardProduct(a*b.T, A, B) + + # Hadamard Power + + expr = hadamard_power(x, 2) + assert expr.diff(x).doit() == 2*DiagMatrix(x) + + expr = hadamard_power(x.T, 2) + assert expr.diff(x).doit() == 2*DiagMatrix(x) + + expr = hadamard_power(x, S.Half) + assert expr.diff(x) == S.Half*DiagMatrix(hadamard_power(x, Rational(-1, 2))) + + expr = hadamard_power(a.T*X*b, 2) + assert expr.diff(X) == 2*a*a.T*X*b*b.T + + expr = hadamard_power(a.T*X*b, S.Half) + assert expr.diff(X) == a/(2*sqrt(a.T*X*b))*b.T diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_determinant.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_determinant.py new file mode 100644 index 0000000000000000000000000000000000000000..d1a66c728f076f8c769d2519ee47c8a9cc90a90e --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_determinant.py @@ -0,0 +1,65 @@ +from sympy.core import S, symbols +from sympy.matrices import eye, ones, Matrix, ShapeError +from sympy.matrices.expressions import ( + Identity, MatrixExpr, MatrixSymbol, Determinant, + det, per, ZeroMatrix, Transpose, + Permanent, MatMul +) +from sympy.matrices.expressions.special import OneMatrix +from sympy.testing.pytest import raises +from sympy.assumptions.ask import Q +from sympy.assumptions.refine import refine + +n = symbols('n', integer=True) +A = MatrixSymbol('A', n, n) +B = MatrixSymbol('B', n, n) +C = MatrixSymbol('C', 3, 4) + + +def test_det(): + assert isinstance(Determinant(A), Determinant) + assert not isinstance(Determinant(A), MatrixExpr) + raises(ShapeError, lambda: Determinant(C)) + assert det(eye(3)) == 1 + assert det(Matrix(3, 3, [1, 3, 2, 4, 1, 3, 2, 5, 2])) == 17 + _ = A / det(A) # Make sure this is possible + + raises(TypeError, lambda: Determinant(S.One)) + + assert Determinant(A).arg is A + + +def test_eval_determinant(): + assert det(Identity(n)) == 1 + assert det(ZeroMatrix(n, n)) == 0 + assert det(OneMatrix(n, n)) == Determinant(OneMatrix(n, n)) + assert det(OneMatrix(1, 1)) == 1 + assert det(OneMatrix(2, 2)) == 0 + assert det(Transpose(A)) == det(A) + assert Determinant(MatMul(eye(2), eye(2))).doit(deep=True) == 1 + + +def test_refine(): + assert refine(det(A), Q.orthogonal(A)) == 1 + assert refine(det(A), Q.singular(A)) == 0 + assert refine(det(A), Q.unit_triangular(A)) == 1 + assert refine(det(A), Q.normal(A)) == det(A) + + +def test_commutative(): + det_a = Determinant(A) + det_b = Determinant(B) + assert det_a.is_commutative + assert det_b.is_commutative + assert det_a * det_b == det_b * det_a + + +def test_permanent(): + assert isinstance(Permanent(A), Permanent) + assert not isinstance(Permanent(A), MatrixExpr) + assert isinstance(Permanent(C), Permanent) + assert Permanent(ones(3, 3)).doit() == 6 + _ = C / per(C) + assert per(Matrix(3, 3, [1, 3, 2, 4, 1, 3, 2, 5, 2])) == 103 + raises(TypeError, lambda: Permanent(S.One)) + assert Permanent(A).arg is A diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_diagonal.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_diagonal.py new file mode 100644 index 0000000000000000000000000000000000000000..3e4f7ea4c178121c33eeb26c09675403d274c1e8 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_diagonal.py @@ -0,0 +1,156 @@ +from sympy.matrices.expressions import MatrixSymbol +from sympy.matrices.expressions.diagonal import DiagonalMatrix, DiagonalOf, DiagMatrix, diagonalize_vector +from sympy.assumptions.ask import (Q, ask) +from sympy.core.symbol import Symbol +from sympy.functions.special.tensor_functions import KroneckerDelta +from sympy.matrices.dense import Matrix +from sympy.matrices.expressions.matmul import MatMul +from sympy.matrices.expressions.special import Identity +from sympy.testing.pytest import raises + + +n = Symbol('n') +m = Symbol('m') + + +def test_DiagonalMatrix(): + x = MatrixSymbol('x', n, m) + D = DiagonalMatrix(x) + assert D.diagonal_length is None + assert D.shape == (n, m) + + x = MatrixSymbol('x', n, n) + D = DiagonalMatrix(x) + assert D.diagonal_length == n + assert D.shape == (n, n) + assert D[1, 2] == 0 + assert D[1, 1] == x[1, 1] + i = Symbol('i') + j = Symbol('j') + x = MatrixSymbol('x', 3, 3) + ij = DiagonalMatrix(x)[i, j] + assert ij != 0 + assert ij.subs({i:0, j:0}) == x[0, 0] + assert ij.subs({i:0, j:1}) == 0 + assert ij.subs({i:1, j:1}) == x[1, 1] + assert ask(Q.diagonal(D)) # affirm that D is diagonal + + x = MatrixSymbol('x', n, 3) + D = DiagonalMatrix(x) + assert D.diagonal_length == 3 + assert D.shape == (n, 3) + assert D[2, m] == KroneckerDelta(2, m)*x[2, m] + assert D[3, m] == 0 + raises(IndexError, lambda: D[m, 3]) + + x = MatrixSymbol('x', 3, n) + D = DiagonalMatrix(x) + assert D.diagonal_length == 3 + assert D.shape == (3, n) + assert D[m, 2] == KroneckerDelta(m, 2)*x[m, 2] + assert D[m, 3] == 0 + raises(IndexError, lambda: D[3, m]) + + x = MatrixSymbol('x', n, m) + D = DiagonalMatrix(x) + assert D.diagonal_length is None + assert D.shape == (n, m) + assert D[m, 4] != 0 + + x = MatrixSymbol('x', 3, 4) + assert [DiagonalMatrix(x)[i] for i in range(12)] == [ + x[0, 0], 0, 0, 0, 0, x[1, 1], 0, 0, 0, 0, x[2, 2], 0] + + # shape is retained, issue 12427 + assert ( + DiagonalMatrix(MatrixSymbol('x', 3, 4))* + DiagonalMatrix(MatrixSymbol('x', 4, 2))).shape == (3, 2) + + +def test_DiagonalOf(): + x = MatrixSymbol('x', n, n) + d = DiagonalOf(x) + assert d.shape == (n, 1) + assert d.diagonal_length == n + assert d[2, 0] == d[2] == x[2, 2] + + x = MatrixSymbol('x', n, m) + d = DiagonalOf(x) + assert d.shape == (None, 1) + assert d.diagonal_length is None + assert d[2, 0] == d[2] == x[2, 2] + + d = DiagonalOf(MatrixSymbol('x', 4, 3)) + assert d.shape == (3, 1) + d = DiagonalOf(MatrixSymbol('x', n, 3)) + assert d.shape == (3, 1) + d = DiagonalOf(MatrixSymbol('x', 3, n)) + assert d.shape == (3, 1) + x = MatrixSymbol('x', n, m) + assert [DiagonalOf(x)[i] for i in range(4)] ==[ + x[0, 0], x[1, 1], x[2, 2], x[3, 3]] + + +def test_DiagMatrix(): + x = MatrixSymbol('x', n, 1) + d = DiagMatrix(x) + assert d.shape == (n, n) + assert d[0, 1] == 0 + assert d[0, 0] == x[0, 0] + + a = MatrixSymbol('a', 1, 1) + d = diagonalize_vector(a) + assert isinstance(d, MatrixSymbol) + assert a == d + assert diagonalize_vector(Identity(3)) == Identity(3) + assert DiagMatrix(Identity(3)).doit() == Identity(3) + assert isinstance(DiagMatrix(Identity(3)), DiagMatrix) + + # A diagonal matrix is equal to its transpose: + assert DiagMatrix(x).T == DiagMatrix(x) + assert diagonalize_vector(x.T) == DiagMatrix(x) + + dx = DiagMatrix(x) + assert dx[0, 0] == x[0, 0] + assert dx[1, 1] == x[1, 0] + assert dx[0, 1] == 0 + assert dx[0, m] == x[0, 0]*KroneckerDelta(0, m) + + z = MatrixSymbol('z', 1, n) + dz = DiagMatrix(z) + assert dz[0, 0] == z[0, 0] + assert dz[1, 1] == z[0, 1] + assert dz[0, 1] == 0 + assert dz[0, m] == z[0, m]*KroneckerDelta(0, m) + + v = MatrixSymbol('v', 3, 1) + dv = DiagMatrix(v) + assert dv.as_explicit() == Matrix([ + [v[0, 0], 0, 0], + [0, v[1, 0], 0], + [0, 0, v[2, 0]], + ]) + + v = MatrixSymbol('v', 1, 3) + dv = DiagMatrix(v) + assert dv.as_explicit() == Matrix([ + [v[0, 0], 0, 0], + [0, v[0, 1], 0], + [0, 0, v[0, 2]], + ]) + + dv = DiagMatrix(3*v) + assert dv.args == (3*v,) + assert dv.doit() == 3*DiagMatrix(v) + assert isinstance(dv.doit(), MatMul) + + a = MatrixSymbol("a", 3, 1).as_explicit() + expr = DiagMatrix(a) + result = Matrix([ + [a[0, 0], 0, 0], + [0, a[1, 0], 0], + [0, 0, a[2, 0]], + ]) + assert expr.doit() == result + expr = DiagMatrix(a.T) + assert expr.doit() == result diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_dotproduct.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_dotproduct.py new file mode 100644 index 0000000000000000000000000000000000000000..abf8ab8e935cbd3039f25f83d3603ac444e5a7bb --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_dotproduct.py @@ -0,0 +1,35 @@ +from sympy.core.expr import unchanged +from sympy.core.mul import Mul +from sympy.matrices import Matrix +from sympy.matrices.expressions.matexpr import MatrixSymbol +from sympy.matrices.expressions.dotproduct import DotProduct +from sympy.testing.pytest import raises + + +A = Matrix(3, 1, [1, 2, 3]) +B = Matrix(3, 1, [1, 3, 5]) +C = Matrix(4, 1, [1, 2, 4, 5]) +D = Matrix(2, 2, [1, 2, 3, 4]) + +def test_docproduct(): + assert DotProduct(A, B).doit() == 22 + assert DotProduct(A.T, B).doit() == 22 + assert DotProduct(A, B.T).doit() == 22 + assert DotProduct(A.T, B.T).doit() == 22 + + raises(TypeError, lambda: DotProduct(1, A)) + raises(TypeError, lambda: DotProduct(A, 1)) + raises(TypeError, lambda: DotProduct(A, D)) + raises(TypeError, lambda: DotProduct(D, A)) + + raises(TypeError, lambda: DotProduct(B, C).doit()) + +def test_dotproduct_symbolic(): + A = MatrixSymbol('A', 3, 1) + B = MatrixSymbol('B', 3, 1) + + dot = DotProduct(A, B) + assert dot.is_scalar == True + assert unchanged(Mul, 2, dot) + # XXX Fix forced evaluation for arithmetics with matrix expressions + assert dot * A == (A[0, 0]*B[0, 0] + A[1, 0]*B[1, 0] + A[2, 0]*B[2, 0])*A diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_factorizations.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_factorizations.py new file mode 100644 index 0000000000000000000000000000000000000000..a0319acabbb7409dfa5c24ceca39e25ff0240618 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_factorizations.py @@ -0,0 +1,29 @@ +from sympy.matrices.expressions.factorizations import lu, LofCholesky, qr, svd +from sympy.assumptions.ask import (Q, ask) +from sympy.core.symbol import Symbol +from sympy.matrices.expressions.matexpr import MatrixSymbol + +n = Symbol('n') +X = MatrixSymbol('X', n, n) + +def test_LU(): + L, U = lu(X) + assert L.shape == U.shape == X.shape + assert ask(Q.lower_triangular(L)) + assert ask(Q.upper_triangular(U)) + +def test_Cholesky(): + LofCholesky(X) + +def test_QR(): + Q_, R = qr(X) + assert Q_.shape == R.shape == X.shape + assert ask(Q.orthogonal(Q_)) + assert ask(Q.upper_triangular(R)) + +def test_svd(): + U, S, V = svd(X) + assert U.shape == S.shape == V.shape == X.shape + assert ask(Q.orthogonal(U)) + assert ask(Q.orthogonal(V)) + assert ask(Q.diagonal(S)) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_fourier.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_fourier.py new file mode 100644 index 0000000000000000000000000000000000000000..0230c8a0957ed28fb0a5cc1e9ee77ecae797265b --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_fourier.py @@ -0,0 +1,44 @@ +from sympy.assumptions.ask import (Q, ask) +from sympy.core.numbers import (I, Rational) +from sympy.core.singleton import S +from sympy.functions.elementary.complexes import Abs +from sympy.functions.elementary.exponential import exp +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.simplify.simplify import simplify +from sympy.core.symbol import symbols +from sympy.matrices.expressions.fourier import DFT, IDFT +from sympy.matrices import det, Matrix, Identity +from sympy.testing.pytest import raises + + +def test_dft_creation(): + assert DFT(2) + assert DFT(0) + raises(ValueError, lambda: DFT(-1)) + raises(ValueError, lambda: DFT(2.0)) + raises(ValueError, lambda: DFT(2 + 1j)) + + n = symbols('n') + assert DFT(n) + n = symbols('n', integer=False) + raises(ValueError, lambda: DFT(n)) + n = symbols('n', negative=True) + raises(ValueError, lambda: DFT(n)) + + +def test_dft(): + n, i, j = symbols('n i j') + assert DFT(4).shape == (4, 4) + assert ask(Q.unitary(DFT(4))) + assert Abs(simplify(det(Matrix(DFT(4))))) == 1 + assert DFT(n)*IDFT(n) == Identity(n) + assert DFT(n)[i, j] == exp(-2*S.Pi*I/n)**(i*j) / sqrt(n) + + +def test_dft2(): + assert DFT(1).as_explicit() == Matrix([[1]]) + assert DFT(2).as_explicit() == 1/sqrt(2)*Matrix([[1,1],[1,-1]]) + assert DFT(4).as_explicit() == Matrix([[S.Half, S.Half, S.Half, S.Half], + [S.Half, -I/2, Rational(-1,2), I/2], + [S.Half, Rational(-1,2), S.Half, Rational(-1,2)], + [S.Half, I/2, Rational(-1,2), -I/2]]) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_funcmatrix.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_funcmatrix.py new file mode 100644 index 0000000000000000000000000000000000000000..e4850fe5c739b9390fac6afa10757b5babf821c6 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_funcmatrix.py @@ -0,0 +1,54 @@ +from sympy.core import symbols, Lambda +from sympy.core.sympify import SympifyError +from sympy.functions import KroneckerDelta +from sympy.matrices import Matrix +from sympy.matrices.expressions import FunctionMatrix, MatrixExpr, Identity +from sympy.testing.pytest import raises + + +def test_funcmatrix_creation(): + i, j, k = symbols('i j k') + assert FunctionMatrix(2, 2, Lambda((i, j), 0)) + assert FunctionMatrix(0, 0, Lambda((i, j), 0)) + + raises(ValueError, lambda: FunctionMatrix(-1, 0, Lambda((i, j), 0))) + raises(ValueError, lambda: FunctionMatrix(2.0, 0, Lambda((i, j), 0))) + raises(ValueError, lambda: FunctionMatrix(2j, 0, Lambda((i, j), 0))) + raises(ValueError, lambda: FunctionMatrix(0, -1, Lambda((i, j), 0))) + raises(ValueError, lambda: FunctionMatrix(0, 2.0, Lambda((i, j), 0))) + raises(ValueError, lambda: FunctionMatrix(0, 2j, Lambda((i, j), 0))) + + raises(ValueError, lambda: FunctionMatrix(2, 2, Lambda(i, 0))) + raises(SympifyError, lambda: FunctionMatrix(2, 2, lambda i, j: 0)) + raises(ValueError, lambda: FunctionMatrix(2, 2, Lambda((i,), 0))) + raises(ValueError, lambda: FunctionMatrix(2, 2, Lambda((i, j, k), 0))) + raises(ValueError, lambda: FunctionMatrix(2, 2, i+j)) + assert FunctionMatrix(2, 2, "lambda i, j: 0") == \ + FunctionMatrix(2, 2, Lambda((i, j), 0)) + + m = FunctionMatrix(2, 2, KroneckerDelta) + assert m.as_explicit() == Identity(2).as_explicit() + assert m.args[2].dummy_eq(Lambda((i, j), KroneckerDelta(i, j))) + + n = symbols('n') + assert FunctionMatrix(n, n, Lambda((i, j), 0)) + n = symbols('n', integer=False) + raises(ValueError, lambda: FunctionMatrix(n, n, Lambda((i, j), 0))) + n = symbols('n', negative=True) + raises(ValueError, lambda: FunctionMatrix(n, n, Lambda((i, j), 0))) + + +def test_funcmatrix(): + i, j = symbols('i,j') + X = FunctionMatrix(3, 3, Lambda((i, j), i - j)) + assert X[1, 1] == 0 + assert X[1, 2] == -1 + assert X.shape == (3, 3) + assert X.rows == X.cols == 3 + assert Matrix(X) == Matrix(3, 3, lambda i, j: i - j) + assert isinstance(X*X + X, MatrixExpr) + + +def test_replace_issue(): + X = FunctionMatrix(3, 3, KroneckerDelta) + assert X.replace(lambda x: True, lambda x: x) == X diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_hadamard.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_hadamard.py new file mode 100644 index 0000000000000000000000000000000000000000..800fa830a9b089103d69b372db93ebcea541d02b --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_hadamard.py @@ -0,0 +1,141 @@ +from sympy.matrices.dense import Matrix, eye +from sympy.matrices.exceptions import ShapeError +from sympy.matrices.expressions.matadd import MatAdd +from sympy.matrices.expressions.special import Identity, OneMatrix, ZeroMatrix +from sympy.core import symbols +from sympy.testing.pytest import raises, warns_deprecated_sympy + +from sympy.matrices import MatrixSymbol +from sympy.matrices.expressions import (HadamardProduct, hadamard_product, HadamardPower, hadamard_power) + +n, m, k = symbols('n,m,k') +Z = MatrixSymbol('Z', n, n) +A = MatrixSymbol('A', n, m) +B = MatrixSymbol('B', n, m) +C = MatrixSymbol('C', m, k) + + +def test_HadamardProduct(): + assert HadamardProduct(A, B, A).shape == A.shape + + raises(TypeError, lambda: HadamardProduct(A, n)) + raises(TypeError, lambda: HadamardProduct(A, 1)) + + assert HadamardProduct(A, 2*B, -A)[1, 1] == \ + -2 * A[1, 1] * B[1, 1] * A[1, 1] + + mix = HadamardProduct(Z*A, B)*C + assert mix.shape == (n, k) + + assert set(HadamardProduct(A, B, A).T.args) == {A.T, A.T, B.T} + + +def test_HadamardProduct_isnt_commutative(): + assert HadamardProduct(A, B) != HadamardProduct(B, A) + + +def test_mixed_indexing(): + X = MatrixSymbol('X', 2, 2) + Y = MatrixSymbol('Y', 2, 2) + Z = MatrixSymbol('Z', 2, 2) + + assert (X*HadamardProduct(Y, Z))[0, 0] == \ + X[0, 0]*Y[0, 0]*Z[0, 0] + X[0, 1]*Y[1, 0]*Z[1, 0] + + +def test_canonicalize(): + X = MatrixSymbol('X', 2, 2) + Y = MatrixSymbol('Y', 2, 2) + with warns_deprecated_sympy(): + expr = HadamardProduct(X, check=False) + assert isinstance(expr, HadamardProduct) + expr2 = expr.doit() # unpack is called + assert isinstance(expr2, MatrixSymbol) + Z = ZeroMatrix(2, 2) + U = OneMatrix(2, 2) + assert HadamardProduct(Z, X).doit() == Z + assert HadamardProduct(U, X, X, U).doit() == HadamardPower(X, 2) + assert HadamardProduct(X, U, Y).doit() == HadamardProduct(X, Y) + assert HadamardProduct(X, Z, U, Y).doit() == Z + + +def test_hadamard(): + m, n, p = symbols('m, n, p', integer=True) + A = MatrixSymbol('A', m, n) + B = MatrixSymbol('B', m, n) + X = MatrixSymbol('X', m, m) + I = Identity(m) + + raises(TypeError, lambda: hadamard_product()) + assert hadamard_product(A) == A + assert isinstance(hadamard_product(A, B), HadamardProduct) + assert hadamard_product(A, B).doit() == hadamard_product(A, B) + assert hadamard_product(X, I) == HadamardProduct(I, X) + assert isinstance(hadamard_product(X, I), HadamardProduct) + + a = MatrixSymbol("a", k, 1) + expr = MatAdd(ZeroMatrix(k, 1), OneMatrix(k, 1)) + expr = HadamardProduct(expr, a) + assert expr.doit() == a + + raises(ValueError, lambda: HadamardProduct()) + + +def test_hadamard_product_with_explicit_mat(): + A = MatrixSymbol("A", 3, 3).as_explicit() + B = MatrixSymbol("B", 3, 3).as_explicit() + X = MatrixSymbol("X", 3, 3) + expr = hadamard_product(A, B) + ret = Matrix([i*j for i, j in zip(A, B)]).reshape(3, 3) + assert expr == ret + expr = hadamard_product(A, X, B) + assert expr == HadamardProduct(ret, X) + expr = hadamard_product(eye(3), A) + assert expr == Matrix([[A[0, 0], 0, 0], [0, A[1, 1], 0], [0, 0, A[2, 2]]]) + expr = hadamard_product(eye(3), eye(3)) + assert expr == eye(3) + + +def test_hadamard_power(): + m, n, p = symbols('m, n, p', integer=True) + A = MatrixSymbol('A', m, n) + + assert hadamard_power(A, 1) == A + assert isinstance(hadamard_power(A, 2), HadamardPower) + assert hadamard_power(A, n).T == hadamard_power(A.T, n) + assert hadamard_power(A, n)[0, 0] == A[0, 0]**n + assert hadamard_power(m, n) == m**n + raises(ValueError, lambda: hadamard_power(A, A)) + + +def test_hadamard_power_explicit(): + A = MatrixSymbol('A', 2, 2) + B = MatrixSymbol('B', 2, 2) + a, b = symbols('a b') + + assert HadamardPower(a, b) == a**b + + assert HadamardPower(a, B).as_explicit() == \ + Matrix([ + [a**B[0, 0], a**B[0, 1]], + [a**B[1, 0], a**B[1, 1]]]) + + assert HadamardPower(A, b).as_explicit() == \ + Matrix([ + [A[0, 0]**b, A[0, 1]**b], + [A[1, 0]**b, A[1, 1]**b]]) + + assert HadamardPower(A, B).as_explicit() == \ + Matrix([ + [A[0, 0]**B[0, 0], A[0, 1]**B[0, 1]], + [A[1, 0]**B[1, 0], A[1, 1]**B[1, 1]]]) + + +def test_shape_error(): + A = MatrixSymbol('A', 2, 3) + B = MatrixSymbol('B', 3, 3) + raises(ShapeError, lambda: HadamardProduct(A, B)) + raises(ShapeError, lambda: HadamardPower(A, B)) + A = MatrixSymbol('A', 3, 2) + raises(ShapeError, lambda: HadamardProduct(A, B)) + raises(ShapeError, lambda: HadamardPower(A, B)) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_indexing.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_indexing.py new file mode 100644 index 0000000000000000000000000000000000000000..500761f248eef5f627c2a7344a6817aca0b8a802 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_indexing.py @@ -0,0 +1,299 @@ +from sympy.concrete.summations import Sum +from sympy.core.symbol import symbols, Symbol, Dummy +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.special.tensor_functions import KroneckerDelta +from sympy.matrices.dense import eye +from sympy.matrices.expressions.blockmatrix import BlockMatrix +from sympy.matrices.expressions.hadamard import HadamardPower +from sympy.matrices.expressions.matexpr import (MatrixSymbol, + MatrixExpr, MatrixElement) +from sympy.matrices.expressions.matpow import MatPow +from sympy.matrices.expressions.special import (ZeroMatrix, Identity, + OneMatrix) +from sympy.matrices.expressions.trace import Trace, trace +from sympy.matrices.immutable import ImmutableMatrix +from sympy.tensor.array.expressions.array_expressions import ArrayTensorProduct +from sympy.testing.pytest import XFAIL, raises + +k, l, m, n = symbols('k l m n', integer=True) +i, j = symbols('i j', integer=True) + +W = MatrixSymbol('W', k, l) +X = MatrixSymbol('X', l, m) +Y = MatrixSymbol('Y', l, m) +Z = MatrixSymbol('Z', m, n) + +X1 = MatrixSymbol('X1', m, m) +X2 = MatrixSymbol('X2', m, m) +X3 = MatrixSymbol('X3', m, m) +X4 = MatrixSymbol('X4', m, m) + +A = MatrixSymbol('A', 2, 2) +B = MatrixSymbol('B', 2, 2) +x = MatrixSymbol('x', 1, 2) +y = MatrixSymbol('x', 2, 1) + + +def test_symbolic_indexing(): + x12 = X[1, 2] + assert all(s in str(x12) for s in ['1', '2', X.name]) + # We don't care about the exact form of this. We do want to make sure + # that all of these features are present + + +def test_add_index(): + assert (X + Y)[i, j] == X[i, j] + Y[i, j] + + +def test_mul_index(): + assert (A*y)[0, 0] == A[0, 0]*y[0, 0] + A[0, 1]*y[1, 0] + assert (A*B).as_mutable() == (A.as_mutable() * B.as_mutable()) + X = MatrixSymbol('X', n, m) + Y = MatrixSymbol('Y', m, k) + + result = (X*Y)[4,2] + expected = Sum(X[4, i]*Y[i, 2], (i, 0, m - 1)) + assert result.args[0].dummy_eq(expected.args[0], i) + assert result.args[1][1:] == expected.args[1][1:] + + +def test_pow_index(): + Q = MatPow(A, 2) + assert Q[0, 0] == A[0, 0]**2 + A[0, 1]*A[1, 0] + n = symbols("n") + Q2 = A**n + assert Q2[0, 0] == 2*( + -sqrt((A[0, 0] + A[1, 1])**2 - 4*A[0, 0]*A[1, 1] + + 4*A[0, 1]*A[1, 0])/2 + A[0, 0]/2 + A[1, 1]/2 + )**n * \ + A[0, 1]*A[1, 0]/( + (sqrt(A[0, 0]**2 - 2*A[0, 0]*A[1, 1] + 4*A[0, 1]*A[1, 0] + + A[1, 1]**2) + A[0, 0] - A[1, 1])* + sqrt(A[0, 0]**2 - 2*A[0, 0]*A[1, 1] + 4*A[0, 1]*A[1, 0] + A[1, 1]**2) + ) - 2*( + sqrt((A[0, 0] + A[1, 1])**2 - 4*A[0, 0]*A[1, 1] + + 4*A[0, 1]*A[1, 0])/2 + A[0, 0]/2 + A[1, 1]/2 + )**n * A[0, 1]*A[1, 0]/( + (-sqrt(A[0, 0]**2 - 2*A[0, 0]*A[1, 1] + 4*A[0, 1]*A[1, 0] + + A[1, 1]**2) + A[0, 0] - A[1, 1])* + sqrt(A[0, 0]**2 - 2*A[0, 0]*A[1, 1] + 4*A[0, 1]*A[1, 0] + A[1, 1]**2) + ) + + +def test_transpose_index(): + assert X.T[i, j] == X[j, i] + + +def test_Identity_index(): + I = Identity(3) + assert I[0, 0] == I[1, 1] == I[2, 2] == 1 + assert I[1, 0] == I[0, 1] == I[2, 1] == 0 + assert I[i, 0].delta_range == (0, 2) + raises(IndexError, lambda: I[3, 3]) + + +def test_block_index(): + I = Identity(3) + Z = ZeroMatrix(3, 3) + B = BlockMatrix([[I, I], [I, I]]) + e3 = ImmutableMatrix(eye(3)) + BB = BlockMatrix([[e3, e3], [e3, e3]]) + assert B[0, 0] == B[3, 0] == B[0, 3] == B[3, 3] == 1 + assert B[4, 3] == B[5, 1] == 0 + + BB = BlockMatrix([[e3, e3], [e3, e3]]) + assert B.as_explicit() == BB.as_explicit() + + BI = BlockMatrix([[I, Z], [Z, I]]) + + assert BI.as_explicit().equals(eye(6)) + + +def test_block_index_symbolic(): + # Note that these matrices may be zero-sized and indices may be negative, which causes + # all naive simplifications given in the comments to be invalid + A1 = MatrixSymbol('A1', n, k) + A2 = MatrixSymbol('A2', n, l) + A3 = MatrixSymbol('A3', m, k) + A4 = MatrixSymbol('A4', m, l) + A = BlockMatrix([[A1, A2], [A3, A4]]) + assert A[0, 0] == MatrixElement(A, 0, 0) # Cannot be A1[0, 0] + assert A[n - 1, k - 1] == A1[n - 1, k - 1] + assert A[n, k] == A4[0, 0] + assert A[n + m - 1, 0] == MatrixElement(A, n + m - 1, 0) # Cannot be A3[m - 1, 0] + assert A[0, k + l - 1] == MatrixElement(A, 0, k + l - 1) # Cannot be A2[0, l - 1] + assert A[n + m - 1, k + l - 1] == MatrixElement(A, n + m - 1, k + l - 1) # Cannot be A4[m - 1, l - 1] + assert A[i, j] == MatrixElement(A, i, j) + assert A[n + i, k + j] == MatrixElement(A, n + i, k + j) # Cannot be A4[i, j] + assert A[n - i - 1, k - j - 1] == MatrixElement(A, n - i - 1, k - j - 1) # Cannot be A1[n - i - 1, k - j - 1] + + +def test_block_index_symbolic_nonzero(): + # All invalid simplifications from test_block_index_symbolic() that become valid if all + # matrices have nonzero size and all indices are nonnegative + k, l, m, n = symbols('k l m n', integer=True, positive=True) + i, j = symbols('i j', integer=True, nonnegative=True) + A1 = MatrixSymbol('A1', n, k) + A2 = MatrixSymbol('A2', n, l) + A3 = MatrixSymbol('A3', m, k) + A4 = MatrixSymbol('A4', m, l) + A = BlockMatrix([[A1, A2], [A3, A4]]) + assert A[0, 0] == A1[0, 0] + assert A[n + m - 1, 0] == A3[m - 1, 0] + assert A[0, k + l - 1] == A2[0, l - 1] + assert A[n + m - 1, k + l - 1] == A4[m - 1, l - 1] + assert A[i, j] == MatrixElement(A, i, j) + assert A[n + i, k + j] == A4[i, j] + assert A[n - i - 1, k - j - 1] == A1[n - i - 1, k - j - 1] + assert A[2 * n, 2 * k] == A4[n, k] + + +def test_block_index_large(): + n, m, k = symbols('n m k', integer=True, positive=True) + i = symbols('i', integer=True, nonnegative=True) + A1 = MatrixSymbol('A1', n, n) + A2 = MatrixSymbol('A2', n, m) + A3 = MatrixSymbol('A3', n, k) + A4 = MatrixSymbol('A4', m, n) + A5 = MatrixSymbol('A5', m, m) + A6 = MatrixSymbol('A6', m, k) + A7 = MatrixSymbol('A7', k, n) + A8 = MatrixSymbol('A8', k, m) + A9 = MatrixSymbol('A9', k, k) + A = BlockMatrix([[A1, A2, A3], [A4, A5, A6], [A7, A8, A9]]) + assert A[n + i, n + i] == MatrixElement(A, n + i, n + i) + + +@XFAIL +def test_block_index_symbolic_fail(): + # To make this work, symbolic matrix dimensions would need to be somehow assumed nonnegative + # even if the symbols aren't specified as such. Then 2 * n < n would correctly evaluate to + # False in BlockMatrix._entry() + A1 = MatrixSymbol('A1', n, 1) + A2 = MatrixSymbol('A2', m, 1) + A = BlockMatrix([[A1], [A2]]) + assert A[2 * n, 0] == A2[n, 0] + + +def test_slicing(): + A.as_explicit()[0, :] # does not raise an error + + +def test_errors(): + raises(IndexError, lambda: Identity(2)[1, 2, 3, 4, 5]) + raises(IndexError, lambda: Identity(2)[[1, 2, 3, 4, 5]]) + + +def test_matrix_expression_to_indices(): + i, j = symbols("i, j") + i1, i2, i3 = symbols("i_1:4") + + def replace_dummies(expr): + repl = {i: Symbol(i.name) for i in expr.atoms(Dummy)} + return expr.xreplace(repl) + + expr = W*X*Z + assert replace_dummies(expr._entry(i, j)) == \ + Sum(W[i, i1]*X[i1, i2]*Z[i2, j], (i1, 0, l-1), (i2, 0, m-1)) + assert MatrixExpr.from_index_summation(expr._entry(i, j)) == expr + + expr = Z.T*X.T*W.T + assert replace_dummies(expr._entry(i, j)) == \ + Sum(W[j, i2]*X[i2, i1]*Z[i1, i], (i1, 0, m-1), (i2, 0, l-1)) + assert MatrixExpr.from_index_summation(expr._entry(i, j), i) == expr + + expr = W*X*Z + W*Y*Z + assert replace_dummies(expr._entry(i, j)) == \ + Sum(W[i, i1]*X[i1, i2]*Z[i2, j], (i1, 0, l-1), (i2, 0, m-1)) +\ + Sum(W[i, i1]*Y[i1, i2]*Z[i2, j], (i1, 0, l-1), (i2, 0, m-1)) + assert MatrixExpr.from_index_summation(expr._entry(i, j)) == expr + + expr = 2*W*X*Z + 3*W*Y*Z + assert replace_dummies(expr._entry(i, j)) == \ + 2*Sum(W[i, i1]*X[i1, i2]*Z[i2, j], (i1, 0, l-1), (i2, 0, m-1)) +\ + 3*Sum(W[i, i1]*Y[i1, i2]*Z[i2, j], (i1, 0, l-1), (i2, 0, m-1)) + assert MatrixExpr.from_index_summation(expr._entry(i, j)) == expr + + expr = W*(X + Y)*Z + assert replace_dummies(expr._entry(i, j)) == \ + Sum(W[i, i1]*(X[i1, i2] + Y[i1, i2])*Z[i2, j], (i1, 0, l-1), (i2, 0, m-1)) + assert MatrixExpr.from_index_summation(expr._entry(i, j)) == expr + + expr = A*B**2*A + #assert replace_dummies(expr._entry(i, j)) == \ + # Sum(A[i, i1]*B[i1, i2]*B[i2, i3]*A[i3, j], (i1, 0, 1), (i2, 0, 1), (i3, 0, 1)) + + # Check that different dummies are used in sub-multiplications: + expr = (X1*X2 + X2*X1)*X3 + assert replace_dummies(expr._entry(i, j)) == \ + Sum((Sum(X1[i, i2] * X2[i2, i1], (i2, 0, m - 1)) + Sum(X1[i3, i1] * X2[i, i3], (i3, 0, m - 1))) * X3[ + i1, j], (i1, 0, m - 1)) + + +def test_matrix_expression_from_index_summation(): + from sympy.abc import a,b,c,d + A = MatrixSymbol("A", k, k) + B = MatrixSymbol("B", k, k) + C = MatrixSymbol("C", k, k) + w1 = MatrixSymbol("w1", k, 1) + + i0, i1, i2, i3, i4 = symbols("i0:5", cls=Dummy) + + expr = Sum(W[a,b]*X[b,c]*Z[c,d], (b, 0, l-1), (c, 0, m-1)) + assert MatrixExpr.from_index_summation(expr, a) == W*X*Z + expr = Sum(W.T[b,a]*X[b,c]*Z[c,d], (b, 0, l-1), (c, 0, m-1)) + assert MatrixExpr.from_index_summation(expr, a) == W*X*Z + expr = Sum(A[b, a]*B[b, c]*C[c, d], (b, 0, k-1), (c, 0, k-1)) + assert MatrixSymbol.from_index_summation(expr, a) == A.T*B*C + expr = Sum(A[b, a]*B[c, b]*C[c, d], (b, 0, k-1), (c, 0, k-1)) + assert MatrixSymbol.from_index_summation(expr, a) == A.T*B.T*C + expr = Sum(C[c, d]*A[b, a]*B[c, b], (b, 0, k-1), (c, 0, k-1)) + assert MatrixSymbol.from_index_summation(expr, a) == A.T*B.T*C + expr = Sum(A[a, b] + B[a, b], (a, 0, k-1), (b, 0, k-1)) + assert MatrixExpr.from_index_summation(expr, a) == OneMatrix(1, k)*A*OneMatrix(k, 1) + OneMatrix(1, k)*B*OneMatrix(k, 1) + expr = Sum(A[a, b]**2, (a, 0, k - 1), (b, 0, k - 1)) + assert MatrixExpr.from_index_summation(expr, a) == Trace(A * A.T) + expr = Sum(A[a, b]**3, (a, 0, k - 1), (b, 0, k - 1)) + assert MatrixExpr.from_index_summation(expr, a) == Trace(HadamardPower(A.T, 2) * A) + expr = Sum((A[a, b] + B[a, b])*C[b, c], (b, 0, k-1)) + assert MatrixExpr.from_index_summation(expr, a) == (A+B)*C + expr = Sum((A[a, b] + B[b, a])*C[b, c], (b, 0, k-1)) + assert MatrixExpr.from_index_summation(expr, a) == (A+B.T)*C + expr = Sum(A[a, b]*A[b, c]*A[c, d], (b, 0, k-1), (c, 0, k-1)) + assert MatrixExpr.from_index_summation(expr, a) == A**3 + expr = Sum(A[a, b]*A[b, c]*B[c, d], (b, 0, k-1), (c, 0, k-1)) + assert MatrixExpr.from_index_summation(expr, a) == A**2*B + + # Parse the trace of a matrix: + + expr = Sum(A[a, a], (a, 0, k-1)) + assert MatrixExpr.from_index_summation(expr, None) == trace(A) + expr = Sum(A[a, a]*B[b, c]*C[c, d], (a, 0, k-1), (c, 0, k-1)) + assert MatrixExpr.from_index_summation(expr, b) == trace(A)*B*C + + # Check wrong sum ranges (should raise an exception): + + ## Case 1: 0 to m instead of 0 to m-1 + expr = Sum(W[a,b]*X[b,c]*Z[c,d], (b, 0, l-1), (c, 0, m)) + raises(ValueError, lambda: MatrixExpr.from_index_summation(expr, a)) + ## Case 2: 1 to m-1 instead of 0 to m-1 + expr = Sum(W[a,b]*X[b,c]*Z[c,d], (b, 0, l-1), (c, 1, m-1)) + raises(ValueError, lambda: MatrixExpr.from_index_summation(expr, a)) + + # Parse nested sums: + expr = Sum(A[a, b]*Sum(B[b, c]*C[c, d], (c, 0, k-1)), (b, 0, k-1)) + assert MatrixExpr.from_index_summation(expr, a) == A*B*C + + # Test Kronecker delta: + expr = Sum(A[a, b]*KroneckerDelta(b, c)*B[c, d], (b, 0, k-1), (c, 0, k-1)) + assert MatrixExpr.from_index_summation(expr, a) == A*B + + expr = Sum(KroneckerDelta(i1, m)*KroneckerDelta(i2, n)*A[i, i1]*A[j, i2], (i1, 0, k-1), (i2, 0, k-1)) + assert MatrixExpr.from_index_summation(expr, m) == ArrayTensorProduct(A.T, A) + + # Test numbered indices: + expr = Sum(A[i1, i2]*w1[i2, 0], (i2, 0, k-1)) + assert MatrixExpr.from_index_summation(expr, i1) == MatrixElement(A*w1, i1, 0) + + expr = Sum(A[i1, i2]*B[i2, 0], (i2, 0, k-1)) + assert MatrixExpr.from_index_summation(expr, i1) == MatrixElement(A*B, i1, 0) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_inverse.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_inverse.py new file mode 100644 index 0000000000000000000000000000000000000000..4bcc7d4de2b2bee4c4922bda8bc48a52aa205961 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_inverse.py @@ -0,0 +1,69 @@ +from sympy.core import symbols, S +from sympy.matrices.expressions import MatrixSymbol, Inverse, MatPow, ZeroMatrix, OneMatrix +from sympy.matrices.exceptions import NonInvertibleMatrixError, NonSquareMatrixError +from sympy.matrices import eye, Identity +from sympy.testing.pytest import raises +from sympy.assumptions.ask import Q +from sympy.assumptions.refine import refine + +n, m, l = symbols('n m l', integer=True) +A = MatrixSymbol('A', n, m) +B = MatrixSymbol('B', m, l) +C = MatrixSymbol('C', n, n) +D = MatrixSymbol('D', n, n) +E = MatrixSymbol('E', m, n) + + +def test_inverse(): + assert Inverse(C).args == (C, S.NegativeOne) + assert Inverse(C).shape == (n, n) + assert Inverse(A*E).shape == (n, n) + assert Inverse(E*A).shape == (m, m) + assert Inverse(C).inverse() == C + assert Inverse(Inverse(C)).doit() == C + assert isinstance(Inverse(Inverse(C)), Inverse) + + assert Inverse(*Inverse(E*A).args) == Inverse(E*A) + + assert C.inverse().inverse() == C + + assert C.inverse()*C == Identity(C.rows) + + assert Identity(n).inverse() == Identity(n) + assert (3*Identity(n)).inverse() == Identity(n)/3 + + # Simplifies Muls if possible (i.e. submatrices are square) + assert (C*D).inverse() == D.I*C.I + # But still works when not possible + assert isinstance((A*E).inverse(), Inverse) + assert Inverse(C*D).doit(inv_expand=False) == Inverse(C*D) + + assert Inverse(eye(3)).doit() == eye(3) + assert Inverse(eye(3)).doit(deep=False) == eye(3) + + assert OneMatrix(1, 1).I == Identity(1) + assert isinstance(OneMatrix(n, n).I, Inverse) + +def test_inverse_non_invertible(): + raises(NonInvertibleMatrixError, lambda: ZeroMatrix(n, n).I) + raises(NonInvertibleMatrixError, lambda: OneMatrix(2, 2).I) + +def test_refine(): + assert refine(C.I, Q.orthogonal(C)) == C.T + + +def test_inverse_matpow_canonicalization(): + A = MatrixSymbol('A', 3, 3) + assert Inverse(MatPow(A, 3)).doit() == MatPow(Inverse(A), 3).doit() + + +def test_nonsquare_error(): + A = MatrixSymbol('A', 3, 4) + raises(NonSquareMatrixError, lambda: Inverse(A)) + + +def test_adjoint_trnaspose_conjugate(): + A = MatrixSymbol('A', n, n) + assert A.transpose().inverse() == A.inverse().transpose() + assert A.conjugate().inverse() == A.inverse().conjugate() + assert A.adjoint().inverse() == A.inverse().adjoint() diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_kronecker.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_kronecker.py new file mode 100644 index 0000000000000000000000000000000000000000..b4444716a76a52e3638dd7a36238a9f459179083 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_kronecker.py @@ -0,0 +1,150 @@ +from sympy.core.mod import Mod +from sympy.core.numbers import I +from sympy.core.symbol import symbols +from sympy.functions.elementary.integers import floor +from sympy.matrices.dense import (Matrix, eye) +from sympy.matrices import MatrixSymbol, Identity +from sympy.matrices.expressions import det, trace + +from sympy.matrices.expressions.kronecker import (KroneckerProduct, + kronecker_product, + combine_kronecker) + + +mat1 = Matrix([[1, 2 * I], [1 + I, 3]]) +mat2 = Matrix([[2 * I, 3], [4 * I, 2]]) + +i, j, k, n, m, o, p, x = symbols('i,j,k,n,m,o,p,x') +Z = MatrixSymbol('Z', n, n) +W = MatrixSymbol('W', m, m) +A = MatrixSymbol('A', n, m) +B = MatrixSymbol('B', n, m) +C = MatrixSymbol('C', m, k) + + +def test_KroneckerProduct(): + assert isinstance(KroneckerProduct(A, B), KroneckerProduct) + assert KroneckerProduct(A, B).subs(A, C) == KroneckerProduct(C, B) + assert KroneckerProduct(A, C).shape == (n*m, m*k) + assert (KroneckerProduct(A, C) + KroneckerProduct(-A, C)).is_ZeroMatrix + assert (KroneckerProduct(W, Z) * KroneckerProduct(W.I, Z.I)).is_Identity + + +def test_KroneckerProduct_identity(): + assert KroneckerProduct(Identity(m), Identity(n)) == Identity(m*n) + assert KroneckerProduct(eye(2), eye(3)) == eye(6) + + +def test_KroneckerProduct_explicit(): + X = MatrixSymbol('X', 2, 2) + Y = MatrixSymbol('Y', 2, 2) + kp = KroneckerProduct(X, Y) + assert kp.shape == (4, 4) + assert kp.as_explicit() == Matrix( + [ + [X[0, 0]*Y[0, 0], X[0, 0]*Y[0, 1], X[0, 1]*Y[0, 0], X[0, 1]*Y[0, 1]], + [X[0, 0]*Y[1, 0], X[0, 0]*Y[1, 1], X[0, 1]*Y[1, 0], X[0, 1]*Y[1, 1]], + [X[1, 0]*Y[0, 0], X[1, 0]*Y[0, 1], X[1, 1]*Y[0, 0], X[1, 1]*Y[0, 1]], + [X[1, 0]*Y[1, 0], X[1, 0]*Y[1, 1], X[1, 1]*Y[1, 0], X[1, 1]*Y[1, 1]] + ] + ) + + +def test_tensor_product_adjoint(): + assert KroneckerProduct(I*A, B).adjoint() == \ + -I*KroneckerProduct(A.adjoint(), B.adjoint()) + assert KroneckerProduct(mat1, mat2).adjoint() == \ + kronecker_product(mat1.adjoint(), mat2.adjoint()) + + +def test_tensor_product_conjugate(): + assert KroneckerProduct(I*A, B).conjugate() == \ + -I*KroneckerProduct(A.conjugate(), B.conjugate()) + assert KroneckerProduct(mat1, mat2).conjugate() == \ + kronecker_product(mat1.conjugate(), mat2.conjugate()) + + +def test_tensor_product_transpose(): + assert KroneckerProduct(I*A, B).transpose() == \ + I*KroneckerProduct(A.transpose(), B.transpose()) + assert KroneckerProduct(mat1, mat2).transpose() == \ + kronecker_product(mat1.transpose(), mat2.transpose()) + + +def test_KroneckerProduct_is_associative(): + assert kronecker_product(A, kronecker_product( + B, C)) == kronecker_product(kronecker_product(A, B), C) + assert kronecker_product(A, kronecker_product( + B, C)) == KroneckerProduct(A, B, C) + + +def test_KroneckerProduct_is_bilinear(): + assert kronecker_product(x*A, B) == x*kronecker_product(A, B) + assert kronecker_product(A, x*B) == x*kronecker_product(A, B) + + +def test_KroneckerProduct_determinant(): + kp = kronecker_product(W, Z) + assert det(kp) == det(W)**n * det(Z)**m + + +def test_KroneckerProduct_trace(): + kp = kronecker_product(W, Z) + assert trace(kp) == trace(W)*trace(Z) + + +def test_KroneckerProduct_isnt_commutative(): + assert KroneckerProduct(A, B) != KroneckerProduct(B, A) + assert KroneckerProduct(A, B).is_commutative is False + + +def test_KroneckerProduct_extracts_commutative_part(): + assert kronecker_product(x * A, 2 * B) == x * \ + 2 * KroneckerProduct(A, B) + + +def test_KroneckerProduct_inverse(): + kp = kronecker_product(W, Z) + assert kp.inverse() == kronecker_product(W.inverse(), Z.inverse()) + + +def test_KroneckerProduct_combine_add(): + kp1 = kronecker_product(A, B) + kp2 = kronecker_product(C, W) + assert combine_kronecker(kp1*kp2) == kronecker_product(A*C, B*W) + + +def test_KroneckerProduct_combine_mul(): + X = MatrixSymbol('X', m, n) + Y = MatrixSymbol('Y', m, n) + kp1 = kronecker_product(A, X) + kp2 = kronecker_product(B, Y) + assert combine_kronecker(kp1+kp2) == kronecker_product(A+B, X+Y) + + +def test_KroneckerProduct_combine_pow(): + X = MatrixSymbol('X', n, n) + Y = MatrixSymbol('Y', n, n) + assert combine_kronecker(KroneckerProduct( + X, Y)**x) == KroneckerProduct(X**x, Y**x) + assert combine_kronecker(x * KroneckerProduct(X, Y) + ** 2) == x * KroneckerProduct(X**2, Y**2) + assert combine_kronecker( + x * (KroneckerProduct(X, Y)**2) * KroneckerProduct(A, B)) == x * KroneckerProduct(X**2 * A, Y**2 * B) + # cannot simplify because of non-square arguments to kronecker product: + assert combine_kronecker(KroneckerProduct(A, B.T) ** m) == KroneckerProduct(A, B.T) ** m + + +def test_KroneckerProduct_expand(): + X = MatrixSymbol('X', n, n) + Y = MatrixSymbol('Y', n, n) + + assert KroneckerProduct(X + Y, Y + Z).expand(kroneckerproduct=True) == \ + KroneckerProduct(X, Y) + KroneckerProduct(X, Z) + \ + KroneckerProduct(Y, Y) + KroneckerProduct(Y, Z) + +def test_KroneckerProduct_entry(): + A = MatrixSymbol('A', n, m) + B = MatrixSymbol('B', o, p) + + assert KroneckerProduct(A, B)._entry(i, j) == A[Mod(floor(i/o), n), Mod(floor(j/p), m)]*B[Mod(i, o), Mod(j, p)] diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_matadd.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_matadd.py new file mode 100644 index 0000000000000000000000000000000000000000..43229ae8c2e42f0253a5f3eceefa5fffe7a99f29 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_matadd.py @@ -0,0 +1,58 @@ +from sympy.matrices.expressions import MatrixSymbol, MatAdd, MatPow, MatMul +from sympy.matrices.expressions.special import GenericZeroMatrix, ZeroMatrix +from sympy.matrices.exceptions import ShapeError +from sympy.matrices import eye, ImmutableMatrix +from sympy.core import Add, Basic, S +from sympy.core.add import add +from sympy.testing.pytest import XFAIL, raises + +X = MatrixSymbol('X', 2, 2) +Y = MatrixSymbol('Y', 2, 2) + +def test_evaluate(): + assert MatAdd(X, X, evaluate=True) == add(X, X, evaluate=True) == MatAdd(X, X).doit() + +def test_sort_key(): + assert MatAdd(Y, X).doit().args == add(Y, X).doit().args == (X, Y) + + +def test_matadd_sympify(): + assert isinstance(MatAdd(eye(1), eye(1)).args[0], Basic) + assert isinstance(add(eye(1), eye(1)).args[0], Basic) + + +def test_matadd_of_matrices(): + assert MatAdd(eye(2), 4*eye(2), eye(2)).doit() == ImmutableMatrix(6*eye(2)) + assert add(eye(2), 4*eye(2), eye(2)).doit() == ImmutableMatrix(6*eye(2)) + + +def test_doit_args(): + A = ImmutableMatrix([[1, 2], [3, 4]]) + B = ImmutableMatrix([[2, 3], [4, 5]]) + assert MatAdd(A, MatPow(B, 2)).doit() == A + B**2 + assert MatAdd(A, MatMul(A, B)).doit() == A + A*B + assert (MatAdd(A, X, MatMul(A, B), Y, MatAdd(2*A, B)).doit() == + add(A, X, MatMul(A, B), Y, add(2*A, B)).doit() == + MatAdd(3*A + A*B + B, X, Y)) + + +def test_generic_identity(): + assert MatAdd.identity == GenericZeroMatrix() + assert MatAdd.identity != S.Zero + + +def test_zero_matrix_add(): + assert Add(ZeroMatrix(2, 2), ZeroMatrix(2, 2)) == ZeroMatrix(2, 2) + +@XFAIL +def test_matrix_Add_with_scalar(): + raises(TypeError, lambda: Add(0, ZeroMatrix(2, 2))) + + +def test_shape_error(): + A = MatrixSymbol('A', 2, 3) + B = MatrixSymbol('B', 3, 3) + raises(ShapeError, lambda: MatAdd(A, B)) + + A = MatrixSymbol('A', 3, 2) + raises(ShapeError, lambda: MatAdd(A, B)) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_matexpr.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_matexpr.py new file mode 100644 index 0000000000000000000000000000000000000000..f2319e8d8097c2ad3519eab783c4665623c55b80 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_matexpr.py @@ -0,0 +1,592 @@ +from sympy.concrete.summations import Sum +from sympy.core.exprtools import gcd_terms +from sympy.core.function import (diff, expand) +from sympy.core.relational import Eq +from sympy.core.symbol import (Dummy, Symbol, Str) +from sympy.functions.special.tensor_functions import KroneckerDelta +from sympy.matrices.dense import zeros +from sympy.polys.polytools import factor + +from sympy.core import (S, symbols, Add, Mul, SympifyError, Rational, + Function) +from sympy.functions import sin, cos, tan, sqrt, cbrt, exp +from sympy.simplify import simplify +from sympy.matrices import (ImmutableMatrix, Inverse, MatAdd, MatMul, + MatPow, Matrix, MatrixExpr, MatrixSymbol, + SparseMatrix, Transpose, Adjoint, MatrixSet) +from sympy.matrices.exceptions import NonSquareMatrixError +from sympy.matrices.expressions.determinant import Determinant, det +from sympy.matrices.expressions.matexpr import MatrixElement +from sympy.matrices.expressions.special import ZeroMatrix, Identity +from sympy.testing.pytest import raises, XFAIL, skip +from importlib.metadata import version + +n, m, l, k, p = symbols('n m l k p', integer=True) +x = symbols('x') +A = MatrixSymbol('A', n, m) +B = MatrixSymbol('B', m, l) +C = MatrixSymbol('C', n, n) +D = MatrixSymbol('D', n, n) +E = MatrixSymbol('E', m, n) +w = MatrixSymbol('w', n, 1) + + +def test_matrix_symbol_creation(): + assert MatrixSymbol('A', 2, 2) + assert MatrixSymbol('A', 0, 0) + raises(ValueError, lambda: MatrixSymbol('A', -1, 2)) + raises(ValueError, lambda: MatrixSymbol('A', 2.0, 2)) + raises(ValueError, lambda: MatrixSymbol('A', 2j, 2)) + raises(ValueError, lambda: MatrixSymbol('A', 2, -1)) + raises(ValueError, lambda: MatrixSymbol('A', 2, 2.0)) + raises(ValueError, lambda: MatrixSymbol('A', 2, 2j)) + + n = symbols('n') + assert MatrixSymbol('A', n, n) + n = symbols('n', integer=False) + raises(ValueError, lambda: MatrixSymbol('A', n, n)) + n = symbols('n', negative=True) + raises(ValueError, lambda: MatrixSymbol('A', n, n)) + + +def test_matexpr_properties(): + assert A.shape == (n, m) + assert (A * B).shape == (n, l) + assert A[0, 1].indices == (0, 1) + assert A[0, 0].symbol == A + assert A[0, 0].symbol.name == 'A' + + +def test_matexpr(): + assert (x*A).shape == A.shape + assert (x*A).__class__ == MatMul + assert 2*A - A - A == ZeroMatrix(*A.shape) + assert (A*B).shape == (n, l) + + +def test_matexpr_subs(): + A = MatrixSymbol('A', n, m) + B = MatrixSymbol('B', m, l) + C = MatrixSymbol('C', m, l) + + assert A.subs(n, m).shape == (m, m) + assert (A*B).subs(B, C) == A*C + assert (A*B).subs(l, n).is_square + + W = MatrixSymbol("W", 3, 3) + X = MatrixSymbol("X", 2, 2) + Y = MatrixSymbol("Y", 1, 2) + Z = MatrixSymbol("Z", n, 2) + # no restrictions on Symbol replacement + assert X.subs(X, Y) == Y + # it might be better to just change the name + y = Str('y') + assert X.subs(Str("X"), y).args == (y, 2, 2) + # it's ok to introduce a wider matrix + assert X[1, 1].subs(X, W) == W[1, 1] + # but for a given MatrixExpression, only change + # name if indexing on the new shape is valid. + # Here, X is 2,2; Y is 1,2 and Y[1, 1] is out + # of range so an error is raised + raises(IndexError, lambda: X[1, 1].subs(X, Y)) + # here, [0, 1] is in range so the subs succeeds + assert X[0, 1].subs(X, Y) == Y[0, 1] + # and here the size of n will accept any index + # in the first position + assert W[2, 1].subs(W, Z) == Z[2, 1] + # but not in the second position + raises(IndexError, lambda: W[2, 2].subs(W, Z)) + # any matrix should raise if invalid + raises(IndexError, lambda: W[2, 2].subs(W, zeros(2))) + + A = SparseMatrix([[1, 2], [3, 4]]) + B = Matrix([[1, 2], [3, 4]]) + C, D = MatrixSymbol('C', 2, 2), MatrixSymbol('D', 2, 2) + + assert (C*D).subs({C: A, D: B}) == MatMul(A, B) + + +def test_addition(): + A = MatrixSymbol('A', n, m) + B = MatrixSymbol('B', n, m) + + assert isinstance(A + B, MatAdd) + assert (A + B).shape == A.shape + assert isinstance(A - A + 2*B, MatMul) + + raises(TypeError, lambda: A + 1) + raises(TypeError, lambda: 5 + A) + raises(TypeError, lambda: 5 - A) + + assert A + ZeroMatrix(n, m) - A == ZeroMatrix(n, m) + raises(TypeError, lambda: ZeroMatrix(n, m) + S.Zero) + + +def test_multiplication(): + A = MatrixSymbol('A', n, m) + B = MatrixSymbol('B', m, l) + C = MatrixSymbol('C', n, n) + + assert (2*A*B).shape == (n, l) + assert (A*0*B) == ZeroMatrix(n, l) + assert (2*A).shape == A.shape + + assert A * ZeroMatrix(m, m) * B == ZeroMatrix(n, l) + + assert C * Identity(n) * C.I == Identity(n) + + assert B/2 == S.Half*B + raises(NotImplementedError, lambda: 2/B) + + A = MatrixSymbol('A', n, n) + B = MatrixSymbol('B', n, n) + assert Identity(n) * (A + B) == A + B + + assert A**2*A == A**3 + assert A**2*(A.I)**3 == A.I + assert A**3*(A.I)**2 == A + + +def test_MatPow(): + A = MatrixSymbol('A', n, n) + + AA = MatPow(A, 2) + assert AA.exp == 2 + assert AA.base == A + assert (A**n).exp == n + + assert A**0 == Identity(n) + assert A**1 == A + assert A**2 == AA + assert A**-1 == Inverse(A) + assert (A**-1)**-1 == A + assert (A**2)**3 == A**6 + assert A**S.Half == sqrt(A) + assert A**Rational(1, 3) == cbrt(A) + raises(NonSquareMatrixError, lambda: MatrixSymbol('B', 3, 2)**2) + + +def test_MatrixSymbol(): + n, m, t = symbols('n,m,t') + X = MatrixSymbol('X', n, m) + assert X.shape == (n, m) + raises(TypeError, lambda: MatrixSymbol('X', n, m)(t)) # issue 5855 + assert X.doit() == X + + +def test_dense_conversion(): + X = MatrixSymbol('X', 2, 2) + assert ImmutableMatrix(X) == ImmutableMatrix(2, 2, lambda i, j: X[i, j]) + assert Matrix(X) == Matrix(2, 2, lambda i, j: X[i, j]) + + +def test_free_symbols(): + assert (C*D).free_symbols == {C, D} + + +def test_zero_matmul(): + assert isinstance(S.Zero * MatrixSymbol('X', 2, 2), MatrixExpr) + + +def test_matadd_simplify(): + A = MatrixSymbol('A', 1, 1) + assert simplify(MatAdd(A, ImmutableMatrix([[sin(x)**2 + cos(x)**2]]))) == \ + MatAdd(A, Matrix([[1]])) + + +def test_matmul_simplify(): + A = MatrixSymbol('A', 1, 1) + assert simplify(MatMul(A, ImmutableMatrix([[sin(x)**2 + cos(x)**2]]))) == \ + MatMul(A, Matrix([[1]])) + + +def test_invariants(): + A = MatrixSymbol('A', n, m) + B = MatrixSymbol('B', m, l) + X = MatrixSymbol('X', n, n) + objs = [Identity(n), ZeroMatrix(m, n), A, MatMul(A, B), MatAdd(A, A), + Transpose(A), Adjoint(A), Inverse(X), MatPow(X, 2), MatPow(X, -1), + MatPow(X, 0)] + for obj in objs: + assert obj == obj.__class__(*obj.args) + + +def test_matexpr_indexing(): + A = MatrixSymbol('A', n, m) + A[1, 2] + A[l, k] + A[l + 1, k + 1] + A = MatrixSymbol('A', 2, 1) + for i in range(-2, 2): + for j in range(-1, 1): + A[i, j] + + +def test_single_indexing(): + A = MatrixSymbol('A', 2, 3) + assert A[1] == A[0, 1] + assert A[int(1)] == A[0, 1] + assert A[3] == A[1, 0] + assert list(A[:2, :2]) == [A[0, 0], A[0, 1], A[1, 0], A[1, 1]] + raises(IndexError, lambda: A[6]) + raises(IndexError, lambda: A[n]) + B = MatrixSymbol('B', n, m) + raises(IndexError, lambda: B[1]) + B = MatrixSymbol('B', n, 3) + assert B[3] == B[1, 0] + + +def test_MatrixElement_commutative(): + assert A[0, 1]*A[1, 0] == A[1, 0]*A[0, 1] + + +def test_MatrixSymbol_determinant(): + A = MatrixSymbol('A', 4, 4) + assert A.as_explicit().det() == A[0, 0]*A[1, 1]*A[2, 2]*A[3, 3] - \ + A[0, 0]*A[1, 1]*A[2, 3]*A[3, 2] - A[0, 0]*A[1, 2]*A[2, 1]*A[3, 3] + \ + A[0, 0]*A[1, 2]*A[2, 3]*A[3, 1] + A[0, 0]*A[1, 3]*A[2, 1]*A[3, 2] - \ + A[0, 0]*A[1, 3]*A[2, 2]*A[3, 1] - A[0, 1]*A[1, 0]*A[2, 2]*A[3, 3] + \ + A[0, 1]*A[1, 0]*A[2, 3]*A[3, 2] + A[0, 1]*A[1, 2]*A[2, 0]*A[3, 3] - \ + A[0, 1]*A[1, 2]*A[2, 3]*A[3, 0] - A[0, 1]*A[1, 3]*A[2, 0]*A[3, 2] + \ + A[0, 1]*A[1, 3]*A[2, 2]*A[3, 0] + A[0, 2]*A[1, 0]*A[2, 1]*A[3, 3] - \ + A[0, 2]*A[1, 0]*A[2, 3]*A[3, 1] - A[0, 2]*A[1, 1]*A[2, 0]*A[3, 3] + \ + A[0, 2]*A[1, 1]*A[2, 3]*A[3, 0] + A[0, 2]*A[1, 3]*A[2, 0]*A[3, 1] - \ + A[0, 2]*A[1, 3]*A[2, 1]*A[3, 0] - A[0, 3]*A[1, 0]*A[2, 1]*A[3, 2] + \ + A[0, 3]*A[1, 0]*A[2, 2]*A[3, 1] + A[0, 3]*A[1, 1]*A[2, 0]*A[3, 2] - \ + A[0, 3]*A[1, 1]*A[2, 2]*A[3, 0] - A[0, 3]*A[1, 2]*A[2, 0]*A[3, 1] + \ + A[0, 3]*A[1, 2]*A[2, 1]*A[3, 0] + + B = MatrixSymbol('B', 4, 4) + assert Determinant(A + B).doit() == det(A + B) == (A + B).det() + + +def test_MatrixElement_diff(): + assert (A[3, 0]*A[0, 0]).diff(A[0, 0]) == A[3, 0] + + +def test_MatrixElement_doit(): + u = MatrixSymbol('u', 2, 1) + v = ImmutableMatrix([3, 5]) + assert u[0, 0].subs(u, v).doit() == v[0, 0] + + +def test_identity_powers(): + M = Identity(n) + assert MatPow(M, 3).doit() == M**3 + assert M**n == M + assert MatPow(M, 0).doit() == M**2 + assert M**-2 == M + assert MatPow(M, -2).doit() == M**0 + N = Identity(3) + assert MatPow(N, 2).doit() == N**n + assert MatPow(N, 3).doit() == N + assert MatPow(N, -2).doit() == N**4 + assert MatPow(N, 2).doit() == N**0 + + +def test_Zero_power(): + z1 = ZeroMatrix(n, n) + assert z1**4 == z1 + raises(ValueError, lambda:z1**-2) + assert z1**0 == Identity(n) + assert MatPow(z1, 2).doit() == z1**2 + raises(ValueError, lambda:MatPow(z1, -2).doit()) + z2 = ZeroMatrix(3, 3) + assert MatPow(z2, 4).doit() == z2**4 + raises(ValueError, lambda:z2**-3) + assert z2**3 == MatPow(z2, 3).doit() + assert z2**0 == Identity(3) + raises(ValueError, lambda:MatPow(z2, -1).doit()) + + +def test_matrixelement_diff(): + dexpr = diff((D*w)[k,0], w[p,0]) + + assert w[k, p].diff(w[k, p]) == 1 + assert w[k, p].diff(w[0, 0]) == KroneckerDelta(0, k, (0, n-1))*KroneckerDelta(0, p, (0, 0)) + _i_1 = Dummy("_i_1") + assert dexpr.dummy_eq(Sum(KroneckerDelta(_i_1, p, (0, n-1))*D[k, _i_1], (_i_1, 0, n - 1))) + assert dexpr.doit() == D[k, p] + + +def test_MatrixElement_with_values(): + x, y, z, w = symbols("x y z w") + M = Matrix([[x, y], [z, w]]) + i, j = symbols("i, j") + Mij = M[i, j] + assert isinstance(Mij, MatrixElement) + Ms = SparseMatrix([[2, 3], [4, 5]]) + msij = Ms[i, j] + assert isinstance(msij, MatrixElement) + for oi, oj in [(0, 0), (0, 1), (1, 0), (1, 1)]: + assert Mij.subs({i: oi, j: oj}) == M[oi, oj] + assert msij.subs({i: oi, j: oj}) == Ms[oi, oj] + A = MatrixSymbol("A", 2, 2) + assert A[0, 0].subs(A, M) == x + assert A[i, j].subs(A, M) == M[i, j] + assert M[i, j].subs(M, A) == A[i, j] + + assert isinstance(M[3*i - 2, j], MatrixElement) + assert M[3*i - 2, j].subs({i: 1, j: 0}) == M[1, 0] + assert isinstance(M[i, 0], MatrixElement) + assert M[i, 0].subs(i, 0) == M[0, 0] + assert M[0, i].subs(i, 1) == M[0, 1] + + assert M[i, j].diff(x) == Matrix([[1, 0], [0, 0]])[i, j] + + raises(ValueError, lambda: M[i, 2]) + raises(ValueError, lambda: M[i, -1]) + raises(ValueError, lambda: M[2, i]) + raises(ValueError, lambda: M[-1, i]) + + +def test_inv(): + B = MatrixSymbol('B', 3, 3) + assert B.inv() == B**-1 + + # https://github.com/sympy/sympy/issues/19162 + X = MatrixSymbol('X', 1, 1).as_explicit() + assert X.inv() == Matrix([[1/X[0, 0]]]) + + X = MatrixSymbol('X', 2, 2).as_explicit() + detX = X[0, 0]*X[1, 1] - X[0, 1]*X[1, 0] + invX = Matrix([[ X[1, 1], -X[0, 1]], + [-X[1, 0], X[0, 0]]]) / detX + assert X.inv() == invX + + +@XFAIL +def test_factor_expand(): + A = MatrixSymbol("A", n, n) + B = MatrixSymbol("B", n, n) + expr1 = (A + B)*(C + D) + expr2 = A*C + B*C + A*D + B*D + assert expr1 != expr2 + assert expand(expr1) == expr2 + assert factor(expr2) == expr1 + + expr = B**(-1)*(A**(-1)*B**(-1) - A**(-1)*C*B**(-1))**(-1)*A**(-1) + I = Identity(n) + # Ideally we get the first, but we at least don't want a wrong answer + assert factor(expr) in [I - C, B**-1*(A**-1*(I - C)*B**-1)**-1*A**-1] + +def test_numpy_conversion(): + try: + from numpy import array, array_equal + except ImportError: + skip('NumPy must be available to test creating matrices from ndarrays') + A = MatrixSymbol('A', 2, 2) + np_array = array([[MatrixElement(A, 0, 0), MatrixElement(A, 0, 1)], + [MatrixElement(A, 1, 0), MatrixElement(A, 1, 1)]]) + assert array_equal(array(A), np_array) + assert array_equal(array(A, copy=True), np_array) + if(int(version('numpy').split('.')[0]) >= 2): #run this test only if numpy is new enough that copy variable is passed properly. + raises(TypeError, lambda: array(A, copy=False)) + +def test_issue_2749(): + A = MatrixSymbol("A", 5, 2) + assert (A.T * A).I.as_explicit() == Matrix([[(A.T * A).I[0, 0], (A.T * A).I[0, 1]], \ + [(A.T * A).I[1, 0], (A.T * A).I[1, 1]]]) + + +def test_issue_2750(): + x = MatrixSymbol('x', 1, 1) + assert (x.T*x).as_explicit()**-1 == Matrix([[x[0, 0]**(-2)]]) + + +def test_issue_7842(): + A = MatrixSymbol('A', 3, 1) + B = MatrixSymbol('B', 2, 1) + assert Eq(A, B) == False + assert Eq(A[1,0], B[1, 0]).func is Eq + A = ZeroMatrix(2, 3) + B = ZeroMatrix(2, 3) + assert Eq(A, B) == True + + +def test_issue_21195(): + t = symbols('t') + x = Function('x')(t) + dx = x.diff(t) + exp1 = cos(x) + cos(x)*dx + exp2 = sin(x) + tan(x)*(dx.diff(t)) + exp3 = sin(x)*sin(t)*(dx.diff(t)).diff(t) + A = Matrix([[exp1], [exp2], [exp3]]) + B = Matrix([[exp1.diff(x)], [exp2.diff(x)], [exp3.diff(x)]]) + assert A.diff(x) == B + + +def test_issue_24859(): + A = MatrixSymbol('A', 2, 3) + B = MatrixSymbol('B', 3, 2) + J = A*B + Jinv = Matrix(J).adjugate() + u = MatrixSymbol('u', 2, 3) + Jk = Jinv.subs(A, A + x*u) + + expected = B[0, 1]*u[1, 0] + B[1, 1]*u[1, 1] + B[2, 1]*u[1, 2] + assert Jk[0, 0].diff(x) == expected + assert diff(Jk[0, 0], x).doit() == expected + + +def test_MatMul_postprocessor(): + z = zeros(2) + z1 = ZeroMatrix(2, 2) + assert Mul(0, z) == Mul(z, 0) in [z, z1] + + M = Matrix([[1, 2], [3, 4]]) + Mx = Matrix([[x, 2*x], [3*x, 4*x]]) + assert Mul(x, M) == Mul(M, x) == Mx + + A = MatrixSymbol("A", 2, 2) + assert Mul(A, M) == MatMul(A, M) + assert Mul(M, A) == MatMul(M, A) + # Scalars should be absorbed into constant matrices + a = Mul(x, M, A) + b = Mul(M, x, A) + c = Mul(M, A, x) + assert a == b == c == MatMul(Mx, A) + a = Mul(x, A, M) + b = Mul(A, x, M) + c = Mul(A, M, x) + assert a == b == c == MatMul(A, Mx) + assert Mul(M, M) == M**2 + assert Mul(A, M, M) == MatMul(A, M**2) + assert Mul(M, M, A) == MatMul(M**2, A) + assert Mul(M, A, M) == MatMul(M, A, M) + + assert Mul(A, x, M, M, x) == MatMul(A, Mx**2) + + +@XFAIL +def test_MatAdd_postprocessor_xfail(): + # This is difficult to get working because of the way that Add processes + # its args. + z = zeros(2) + assert Add(z, S.NaN) == Add(S.NaN, z) + + +def test_MatAdd_postprocessor(): + # Some of these are nonsensical, but we do not raise errors for Add + # because that breaks algorithms that want to replace matrices with dummy + # symbols. + + z = zeros(2) + + assert Add(0, z) == Add(z, 0) == z + + a = Add(S.Infinity, z) + assert a == Add(z, S.Infinity) + assert isinstance(a, Add) + assert a.args == (S.Infinity, z) + + a = Add(S.ComplexInfinity, z) + assert a == Add(z, S.ComplexInfinity) + assert isinstance(a, Add) + assert a.args == (S.ComplexInfinity, z) + + a = Add(z, S.NaN) + # assert a == Add(S.NaN, z) # See the XFAIL above + assert isinstance(a, Add) + assert a.args == (S.NaN, z) + + M = Matrix([[1, 2], [3, 4]]) + a = Add(x, M) + assert a == Add(M, x) + assert isinstance(a, Add) + assert a.args == (x, M) + + A = MatrixSymbol("A", 2, 2) + assert Add(A, M) == Add(M, A) == A + M + + # Scalars should be absorbed into constant matrices (producing an error) + a = Add(x, M, A) + assert a == Add(M, x, A) == Add(M, A, x) == Add(x, A, M) == Add(A, x, M) == Add(A, M, x) + assert isinstance(a, Add) + assert a.args == (x, A + M) + + assert Add(M, M) == 2*M + assert Add(M, A, M) == Add(M, M, A) == Add(A, M, M) == A + 2*M + + a = Add(A, x, M, M, x) + assert isinstance(a, Add) + assert a.args == (2*x, A + 2*M) + + +def test_simplify_matrix_expressions(): + # Various simplification functions + assert type(gcd_terms(C*D + D*C)) == MatAdd + a = gcd_terms(2*C*D + 4*D*C) + assert type(a) == MatAdd + assert a.args == (2*C*D, 4*D*C) + + +def test_exp(): + A = MatrixSymbol('A', 2, 2) + B = MatrixSymbol('B', 2, 2) + expr1 = exp(A)*exp(B) + expr2 = exp(B)*exp(A) + assert expr1 != expr2 + assert expr1 - expr2 != 0 + assert not isinstance(expr1, exp) + assert not isinstance(expr2, exp) + + +def test_invalid_args(): + raises(SympifyError, lambda: MatrixSymbol(1, 2, 'A')) + + +def test_matrixsymbol_from_symbol(): + # The label should be preserved during doit and subs + A_label = Symbol('A', complex=True) + A = MatrixSymbol(A_label, 2, 2) + + A_1 = A.doit() + A_2 = A.subs(2, 3) + assert A_1.args == A.args + assert A_2.args[0] == A.args[0] + + +def test_as_explicit(): + Z = MatrixSymbol('Z', 2, 3) + assert Z.as_explicit() == ImmutableMatrix([ + [Z[0, 0], Z[0, 1], Z[0, 2]], + [Z[1, 0], Z[1, 1], Z[1, 2]], + ]) + raises(ValueError, lambda: A.as_explicit()) + + +def test_MatrixSet(): + M = MatrixSet(2, 2, set=S.Reals) + assert M.shape == (2, 2) + assert M.set == S.Reals + X = Matrix([[1, 2], [3, 4]]) + assert X in M + X = ZeroMatrix(2, 2) + assert X in M + raises(TypeError, lambda: A in M) + raises(TypeError, lambda: 1 in M) + M = MatrixSet(n, m, set=S.Reals) + assert A in M + raises(TypeError, lambda: C in M) + raises(TypeError, lambda: X in M) + M = MatrixSet(2, 2, set={1, 2, 3}) + X = Matrix([[1, 2], [3, 4]]) + Y = Matrix([[1, 2]]) + assert (X in M) == S.false + assert (Y in M) == S.false + raises(ValueError, lambda: MatrixSet(2, -2, S.Reals)) + raises(ValueError, lambda: MatrixSet(2.4, -1, S.Reals)) + raises(TypeError, lambda: MatrixSet(2, 2, (1, 2, 3))) + + +def test_matrixsymbol_solving(): + A = MatrixSymbol('A', 2, 2) + B = MatrixSymbol('B', 2, 2) + Z = ZeroMatrix(2, 2) + assert -(-A + B) - A + B == Z + assert (-(-A + B) - A + B).simplify() == Z + assert (-(-A + B) - A + B).expand() == Z + assert (-(-A + B) - A + B - Z).simplify() == Z + assert (-(-A + B) - A + B - Z).expand() == Z + assert (A*(A + B) + B*(A.T + B.T)).expand() == A**2 + A*B + B*A.T + B*B.T diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_matmul.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_matmul.py new file mode 100644 index 0000000000000000000000000000000000000000..813926e2c83e27716f4f894ebebd09b2a576f046 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_matmul.py @@ -0,0 +1,193 @@ +from sympy.core import I, symbols, Basic, Mul, S +from sympy.core.mul import mul +from sympy.functions import adjoint, transpose +from sympy.matrices.exceptions import ShapeError +from sympy.matrices import (Identity, Inverse, Matrix, MatrixSymbol, ZeroMatrix, + eye, ImmutableMatrix) +from sympy.matrices.expressions import Adjoint, Transpose, det, MatPow +from sympy.matrices.expressions.special import GenericIdentity +from sympy.matrices.expressions.matmul import (factor_in_front, remove_ids, + MatMul, combine_powers, any_zeros, unpack, only_squares) +from sympy.strategies import null_safe +from sympy.assumptions.ask import Q +from sympy.assumptions.refine import refine +from sympy.core.symbol import Symbol + +from sympy.testing.pytest import XFAIL, raises + +n, m, l, k = symbols('n m l k', integer=True) +x = symbols('x') +A = MatrixSymbol('A', n, m) +B = MatrixSymbol('B', m, l) +C = MatrixSymbol('C', n, n) +D = MatrixSymbol('D', n, n) +E = MatrixSymbol('E', m, n) + +def test_evaluate(): + assert MatMul(C, C, evaluate=True) == MatMul(C, C).doit() + +def test_adjoint(): + assert adjoint(A*B) == Adjoint(B)*Adjoint(A) + assert adjoint(2*A*B) == 2*Adjoint(B)*Adjoint(A) + assert adjoint(2*I*C) == -2*I*Adjoint(C) + + M = Matrix(2, 2, [1, 2 + I, 3, 4]) + MA = Matrix(2, 2, [1, 3, 2 - I, 4]) + assert adjoint(M) == MA + assert adjoint(2*M) == 2*MA + assert adjoint(MatMul(2, M)) == MatMul(2, MA).doit() + + +def test_transpose(): + assert transpose(A*B) == Transpose(B)*Transpose(A) + assert transpose(2*A*B) == 2*Transpose(B)*Transpose(A) + assert transpose(2*I*C) == 2*I*Transpose(C) + + M = Matrix(2, 2, [1, 2 + I, 3, 4]) + MT = Matrix(2, 2, [1, 3, 2 + I, 4]) + assert transpose(M) == MT + assert transpose(2*M) == 2*MT + assert transpose(x*M) == x*MT + assert transpose(MatMul(2, M)) == MatMul(2, MT).doit() + + +def test_factor_in_front(): + assert factor_in_front(MatMul(A, 2, B, evaluate=False)) ==\ + MatMul(2, A, B, evaluate=False) + + +def test_remove_ids(): + assert remove_ids(MatMul(A, Identity(m), B, evaluate=False)) == \ + MatMul(A, B, evaluate=False) + assert null_safe(remove_ids)(MatMul(Identity(n), evaluate=False)) == \ + MatMul(Identity(n), evaluate=False) + + +def test_combine_powers(): + assert combine_powers(MatMul(D, Inverse(D), D, evaluate=False)) == \ + MatMul(Identity(n), D, evaluate=False) + assert combine_powers(MatMul(B.T, Inverse(E*A), E, A, B, evaluate=False)) == \ + MatMul(B.T, Identity(m), B, evaluate=False) + assert combine_powers(MatMul(A, E, Inverse(A*E), D, evaluate=False)) == \ + MatMul(Identity(n), D, evaluate=False) + + +def test_any_zeros(): + assert any_zeros(MatMul(A, ZeroMatrix(m, k), evaluate=False)) == \ + ZeroMatrix(n, k) + + +def test_unpack(): + assert unpack(MatMul(A, evaluate=False)) == A + x = MatMul(A, B) + assert unpack(x) == x + + +def test_only_squares(): + assert only_squares(C) == [C] + assert only_squares(C, D) == [C, D] + assert only_squares(C, A, A.T, D) == [C, A*A.T, D] + + +def test_determinant(): + assert det(2*C) == 2**n*det(C) + assert det(2*C*D) == 2**n*det(C)*det(D) + assert det(3*C*A*A.T*D) == 3**n*det(C)*det(A*A.T)*det(D) + + +def test_doit(): + assert MatMul(C, 2, D).args == (C, 2, D) + assert MatMul(C, 2, D).doit().args == (2, C, D) + assert MatMul(C, Transpose(D*C)).args == (C, Transpose(D*C)) + assert MatMul(C, Transpose(D*C)).doit(deep=True).args == (C, C.T, D.T) + + +def test_doit_drills_down(): + X = ImmutableMatrix([[1, 2], [3, 4]]) + Y = ImmutableMatrix([[2, 3], [4, 5]]) + assert MatMul(X, MatPow(Y, 2)).doit() == X*Y**2 + assert MatMul(C, Transpose(D*C)).doit().args == (C, C.T, D.T) + + +def test_doit_deep_false_still_canonical(): + assert (MatMul(C, Transpose(D*C), 2).doit(deep=False).args == + (2, C, Transpose(D*C))) + + +def test_matmul_scalar_Matrix_doit(): + # Issue 9053 + X = Matrix([[1, 2], [3, 4]]) + assert MatMul(2, X).doit() == 2*X + + +def test_matmul_sympify(): + assert isinstance(MatMul(eye(1), eye(1)).args[0], Basic) + + +def test_collapse_MatrixBase(): + A = Matrix([[1, 1], [1, 1]]) + B = Matrix([[1, 2], [3, 4]]) + assert MatMul(A, B).doit() == ImmutableMatrix([[4, 6], [4, 6]]) + + +def test_refine(): + assert refine(C*C.T*D, Q.orthogonal(C)).doit() == D + + kC = k*C + assert refine(kC*C.T, Q.orthogonal(C)).doit() == k*Identity(n) + assert refine(kC* kC.T, Q.orthogonal(C)).doit() == (k**2)*Identity(n) + +def test_matmul_no_matrices(): + assert MatMul(1) == 1 + assert MatMul(n, m) == n*m + assert not isinstance(MatMul(n, m), MatMul) + +def test_matmul_args_cnc(): + assert MatMul(n, A, A.T).args_cnc() == [[n], [A, A.T]] + assert MatMul(A, A.T).args_cnc() == [[], [A, A.T]] + +@XFAIL +def test_matmul_args_cnc_symbols(): + # Not currently supported + a, b = symbols('a b', commutative=False) + assert MatMul(n, a, b, A, A.T).args_cnc() == [[n], [a, b, A, A.T]] + assert MatMul(n, a, A, b, A.T).args_cnc() == [[n], [a, A, b, A.T]] + +def test_issue_12950(): + M = Matrix([[Symbol("x")]]) * MatrixSymbol("A", 1, 1) + assert MatrixSymbol("A", 1, 1).as_explicit()[0]*Symbol('x') == M.as_explicit()[0] + +def test_construction_with_Mul(): + assert Mul(C, D) == MatMul(C, D) + assert Mul(D, C) == MatMul(D, C) + +def test_construction_with_mul(): + assert mul(C, D) == MatMul(C, D) + assert mul(D, C) == MatMul(D, C) + assert mul(C, D) != MatMul(D, C) + +def test_generic_identity(): + assert MatMul.identity == GenericIdentity() + assert MatMul.identity != S.One + + +def test_issue_23519(): + N = Symbol("N", integer=True) + M1 = MatrixSymbol("M1", N, N) + M2 = MatrixSymbol("M2", N, N) + I = Identity(N) + z = (M2 + 2 * (M2 + I) * M1 + I) + assert z.coeff(M1) == 2*I + 2*M2 + + +def test_shape_error(): + A = MatrixSymbol('A', 2, 2) + B = MatrixSymbol('B', 3, 3) + raises(ShapeError, lambda: MatMul(A, B)) + + +def test_matmul_transpose(): + # https://github.com/sympy/sympy/issues/9503 + M = Matrix(2, 2, [1, 2 + I, 3, 4]) + a = Symbol('a') + assert (MatMul(a, M).T).expand() == (a*Matrix([[1, 3],[2 + I, 4]])).expand() diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_matpow.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_matpow.py new file mode 100644 index 0000000000000000000000000000000000000000..2afb5fdc2aa652c321de52aba43db63da60941fd --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_matpow.py @@ -0,0 +1,217 @@ +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.simplify.powsimp import powsimp +from sympy.testing.pytest import raises +from sympy.core.expr import unchanged +from sympy.core import symbols, S +from sympy.matrices import Identity, MatrixSymbol, ImmutableMatrix, ZeroMatrix, OneMatrix, Matrix +from sympy.matrices.exceptions import NonSquareMatrixError +from sympy.matrices.expressions import MatPow, MatAdd, MatMul +from sympy.matrices.expressions.inverse import Inverse +from sympy.matrices.expressions.matexpr import MatrixElement + +n, m, l, k = symbols('n m l k', integer=True) +A = MatrixSymbol('A', n, m) +B = MatrixSymbol('B', m, l) +C = MatrixSymbol('C', n, n) +D = MatrixSymbol('D', n, n) +E = MatrixSymbol('E', m, n) + + +def test_entry_matrix(): + X = ImmutableMatrix([[1, 2], [3, 4]]) + assert MatPow(X, 0)[0, 0] == 1 + assert MatPow(X, 0)[0, 1] == 0 + assert MatPow(X, 1)[0, 0] == 1 + assert MatPow(X, 1)[0, 1] == 2 + assert MatPow(X, 2)[0, 0] == 7 + + +def test_entry_symbol(): + from sympy.concrete import Sum + assert MatPow(C, 0)[0, 0] == 1 + assert MatPow(C, 0)[0, 1] == 0 + assert MatPow(C, 1)[0, 0] == C[0, 0] + assert isinstance(MatPow(C, 2)[0, 0], Sum) + assert isinstance(MatPow(C, n)[0, 0], MatrixElement) + + +def test_as_explicit_symbol(): + X = MatrixSymbol('X', 2, 2) + assert MatPow(X, 0).as_explicit() == ImmutableMatrix(Identity(2)) + assert MatPow(X, 1).as_explicit() == X.as_explicit() + assert MatPow(X, 2).as_explicit() == (X.as_explicit())**2 + assert MatPow(X, n).as_explicit() == ImmutableMatrix([ + [(X ** n)[0, 0], (X ** n)[0, 1]], + [(X ** n)[1, 0], (X ** n)[1, 1]], + ]) + + a = MatrixSymbol("a", 3, 1) + b = MatrixSymbol("b", 3, 1) + c = MatrixSymbol("c", 3, 1) + + expr = (a.T*b)**S.Half + assert expr.as_explicit() == Matrix([[sqrt(a[0, 0]*b[0, 0] + a[1, 0]*b[1, 0] + a[2, 0]*b[2, 0])]]) + + expr = c*(a.T*b)**S.Half + m = sqrt(a[0, 0]*b[0, 0] + a[1, 0]*b[1, 0] + a[2, 0]*b[2, 0]) + assert expr.as_explicit() == Matrix([[c[0, 0]*m], [c[1, 0]*m], [c[2, 0]*m]]) + + expr = (a*b.T)**S.Half + denom = sqrt(a[0, 0]*b[0, 0] + a[1, 0]*b[1, 0] + a[2, 0]*b[2, 0]) + expected = (a*b.T).as_explicit()/denom + assert expr.as_explicit() == expected + + expr = X**-1 + det = X[0, 0]*X[1, 1] - X[1, 0]*X[0, 1] + expected = Matrix([[X[1, 1], -X[0, 1]], [-X[1, 0], X[0, 0]]])/det + assert expr.as_explicit() == expected + + expr = X**m + assert expr.as_explicit() == X.as_explicit()**m + + +def test_as_explicit_matrix(): + A = ImmutableMatrix([[1, 2], [3, 4]]) + assert MatPow(A, 0).as_explicit() == ImmutableMatrix(Identity(2)) + assert MatPow(A, 1).as_explicit() == A + assert MatPow(A, 2).as_explicit() == A**2 + assert MatPow(A, -1).as_explicit() == A.inv() + assert MatPow(A, -2).as_explicit() == (A.inv())**2 + # less expensive than testing on a 2x2 + A = ImmutableMatrix([4]) + assert MatPow(A, S.Half).as_explicit() == A**S.Half + + +def test_doit_symbol(): + assert MatPow(C, 0).doit() == Identity(n) + assert MatPow(C, 1).doit() == C + assert MatPow(C, -1).doit() == C.I + for r in [2, S.Half, S.Pi, n]: + assert MatPow(C, r).doit() == MatPow(C, r) + + +def test_doit_matrix(): + X = ImmutableMatrix([[1, 2], [3, 4]]) + assert MatPow(X, 0).doit() == ImmutableMatrix(Identity(2)) + assert MatPow(X, 1).doit() == X + assert MatPow(X, 2).doit() == X**2 + assert MatPow(X, -1).doit() == X.inv() + assert MatPow(X, -2).doit() == (X.inv())**2 + # less expensive than testing on a 2x2 + assert MatPow(ImmutableMatrix([4]), S.Half).doit() == ImmutableMatrix([2]) + X = ImmutableMatrix([[0, 2], [0, 4]]) # det() == 0 + raises(ValueError, lambda: MatPow(X,-1).doit()) + raises(ValueError, lambda: MatPow(X,-2).doit()) + + +def test_nonsquare(): + A = MatrixSymbol('A', 2, 3) + B = ImmutableMatrix([[1, 2, 3], [4, 5, 6]]) + for r in [-1, 0, 1, 2, S.Half, S.Pi, n]: + raises(NonSquareMatrixError, lambda: MatPow(A, r)) + raises(NonSquareMatrixError, lambda: MatPow(B, r)) + + +def test_doit_equals_pow(): #17179 + X = ImmutableMatrix ([[1,0],[0,1]]) + assert MatPow(X, n).doit() == X**n == X + + +def test_doit_nested_MatrixExpr(): + X = ImmutableMatrix([[1, 2], [3, 4]]) + Y = ImmutableMatrix([[2, 3], [4, 5]]) + assert MatPow(MatMul(X, Y), 2).doit() == (X*Y)**2 + assert MatPow(MatAdd(X, Y), 2).doit() == (X + Y)**2 + + +def test_identity_power(): + k = Identity(n) + assert MatPow(k, 4).doit() == k + assert MatPow(k, n).doit() == k + assert MatPow(k, -3).doit() == k + assert MatPow(k, 0).doit() == k + l = Identity(3) + assert MatPow(l, n).doit() == l + assert MatPow(l, -1).doit() == l + assert MatPow(l, 0).doit() == l + + +def test_zero_power(): + z1 = ZeroMatrix(n, n) + assert MatPow(z1, 3).doit() == z1 + raises(ValueError, lambda:MatPow(z1, -1).doit()) + assert MatPow(z1, 0).doit() == Identity(n) + assert MatPow(z1, n).doit() == z1 + raises(ValueError, lambda:MatPow(z1, -2).doit()) + z2 = ZeroMatrix(4, 4) + assert MatPow(z2, n).doit() == z2 + raises(ValueError, lambda:MatPow(z2, -3).doit()) + assert MatPow(z2, 2).doit() == z2 + assert MatPow(z2, 0).doit() == Identity(4) + raises(ValueError, lambda:MatPow(z2, -1).doit()) + + +def test_OneMatrix_power(): + o = OneMatrix(3, 3) + assert o ** 0 == Identity(3) + assert o ** 1 == o + assert o * o == o ** 2 == 3 * o + assert o * o * o == o ** 3 == 9 * o + + o = OneMatrix(n, n) + assert o * o == o ** 2 == n * o + # powsimp necessary as n ** (n - 2) * n does not produce n ** (n - 1) + assert powsimp(o ** (n - 1) * o) == o ** n == n ** (n - 1) * o + + +def test_transpose_power(): + from sympy.matrices.expressions.transpose import Transpose as TP + + assert (C*D).T**5 == ((C*D)**5).T == (D.T * C.T)**5 + assert ((C*D).T**5).T == (C*D)**5 + + assert (C.T.I.T)**7 == C**-7 + assert (C.T**l).T**k == C**(l*k) + + assert ((E.T * A.T)**5).T == (A*E)**5 + assert ((A*E).T**5).T**7 == (A*E)**35 + assert TP(TP(C**2 * D**3)**5).doit() == (C**2 * D**3)**5 + + assert ((D*C)**-5).T**-5 == ((D*C)**25).T + assert (((D*C)**l).T**k).T == (D*C)**(l*k) + + +def test_Inverse(): + assert Inverse(MatPow(C, 0)).doit() == Identity(n) + assert Inverse(MatPow(C, 1)).doit() == Inverse(C) + assert Inverse(MatPow(C, 2)).doit() == MatPow(C, -2) + assert Inverse(MatPow(C, -1)).doit() == C + + assert MatPow(Inverse(C), 0).doit() == Identity(n) + assert MatPow(Inverse(C), 1).doit() == Inverse(C) + assert MatPow(Inverse(C), 2).doit() == MatPow(C, -2) + assert MatPow(Inverse(C), -1).doit() == C + + +def test_combine_powers(): + assert (C ** 1) ** 1 == C + assert (C ** 2) ** 3 == MatPow(C, 6) + assert (C ** -2) ** -3 == MatPow(C, 6) + assert (C ** -1) ** -1 == C + assert (((C ** 2) ** 3) ** 4) ** 5 == MatPow(C, 120) + assert (C ** n) ** n == C ** (n ** 2) + + +def test_unchanged(): + assert unchanged(MatPow, C, 0) + assert unchanged(MatPow, C, 1) + assert unchanged(MatPow, Inverse(C), -1) + assert unchanged(Inverse, MatPow(C, -1), -1) + assert unchanged(MatPow, MatPow(C, -1), -1) + assert unchanged(MatPow, MatPow(C, 1), 1) + + +def test_no_exponentiation(): + # if this passes, Pow.as_numer_denom should recognize + # MatAdd as exponent + raises(NotImplementedError, lambda: 3**(-2*C)) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_permutation.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_permutation.py new file mode 100644 index 0000000000000000000000000000000000000000..41a924f6636afb2e5b6560987e38a0fa0c861f1e --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_permutation.py @@ -0,0 +1,166 @@ +from sympy.combinatorics import Permutation +from sympy.core.expr import unchanged +from sympy.matrices import Matrix +from sympy.matrices.expressions import \ + MatMul, BlockDiagMatrix, Determinant, Inverse +from sympy.matrices.expressions.matexpr import MatrixSymbol +from sympy.matrices.expressions.special import ZeroMatrix, OneMatrix, Identity +from sympy.matrices.expressions.permutation import \ + MatrixPermute, PermutationMatrix +from sympy.testing.pytest import raises +from sympy.core.symbol import Symbol + + +def test_PermutationMatrix_basic(): + p = Permutation([1, 0]) + assert unchanged(PermutationMatrix, p) + raises(ValueError, lambda: PermutationMatrix((0, 1, 2))) + assert PermutationMatrix(p).as_explicit() == Matrix([[0, 1], [1, 0]]) + assert isinstance(PermutationMatrix(p)*MatrixSymbol('A', 2, 2), MatMul) + + +def test_PermutationMatrix_matmul(): + p = Permutation([1, 2, 0]) + P = PermutationMatrix(p) + M = Matrix([[0, 1, 2], [3, 4, 5], [6, 7, 8]]) + assert (P*M).as_explicit() == P.as_explicit()*M + assert (M*P).as_explicit() == M*P.as_explicit() + + P1 = PermutationMatrix(Permutation([1, 2, 0])) + P2 = PermutationMatrix(Permutation([2, 1, 0])) + P3 = PermutationMatrix(Permutation([1, 0, 2])) + assert P1*P2 == P3 + + +def test_PermutationMatrix_matpow(): + p1 = Permutation([1, 2, 0]) + P1 = PermutationMatrix(p1) + p2 = Permutation([2, 0, 1]) + P2 = PermutationMatrix(p2) + assert P1**2 == P2 + assert P1**3 == Identity(3) + + +def test_PermutationMatrix_identity(): + p = Permutation([0, 1]) + assert PermutationMatrix(p).is_Identity + + p = Permutation([1, 0]) + assert not PermutationMatrix(p).is_Identity + + +def test_PermutationMatrix_determinant(): + P = PermutationMatrix(Permutation([0, 1, 2])) + assert Determinant(P).doit() == 1 + P = PermutationMatrix(Permutation([0, 2, 1])) + assert Determinant(P).doit() == -1 + P = PermutationMatrix(Permutation([2, 0, 1])) + assert Determinant(P).doit() == 1 + + +def test_PermutationMatrix_inverse(): + P = PermutationMatrix(Permutation(0, 1, 2)) + assert Inverse(P).doit() == PermutationMatrix(Permutation(0, 2, 1)) + + +def test_PermutationMatrix_rewrite_BlockDiagMatrix(): + P = PermutationMatrix(Permutation([0, 1, 2, 3, 4, 5])) + P0 = PermutationMatrix(Permutation([0])) + assert P.rewrite(BlockDiagMatrix) == \ + BlockDiagMatrix(P0, P0, P0, P0, P0, P0) + + P = PermutationMatrix(Permutation([0, 1, 3, 2, 4, 5])) + P10 = PermutationMatrix(Permutation(0, 1)) + assert P.rewrite(BlockDiagMatrix) == \ + BlockDiagMatrix(P0, P0, P10, P0, P0) + + P = PermutationMatrix(Permutation([1, 0, 3, 2, 5, 4])) + assert P.rewrite(BlockDiagMatrix) == \ + BlockDiagMatrix(P10, P10, P10) + + P = PermutationMatrix(Permutation([0, 4, 3, 2, 1, 5])) + P3210 = PermutationMatrix(Permutation([3, 2, 1, 0])) + assert P.rewrite(BlockDiagMatrix) == \ + BlockDiagMatrix(P0, P3210, P0) + + P = PermutationMatrix(Permutation([0, 4, 2, 3, 1, 5])) + P3120 = PermutationMatrix(Permutation([3, 1, 2, 0])) + assert P.rewrite(BlockDiagMatrix) == \ + BlockDiagMatrix(P0, P3120, P0) + + P = PermutationMatrix(Permutation(0, 3)(1, 4)(2, 5)) + assert P.rewrite(BlockDiagMatrix) == BlockDiagMatrix(P) + + +def test_MartrixPermute_basic(): + p = Permutation(0, 1) + P = PermutationMatrix(p) + A = MatrixSymbol('A', 2, 2) + + raises(ValueError, lambda: MatrixPermute(Symbol('x'), p)) + raises(ValueError, lambda: MatrixPermute(A, Symbol('x'))) + + assert MatrixPermute(A, P) == MatrixPermute(A, p) + raises(ValueError, lambda: MatrixPermute(A, p, 2)) + + pp = Permutation(0, 1, size=3) + assert MatrixPermute(A, pp) == MatrixPermute(A, p) + pp = Permutation(0, 1, 2) + raises(ValueError, lambda: MatrixPermute(A, pp)) + + +def test_MatrixPermute_shape(): + p = Permutation(0, 1) + A = MatrixSymbol('A', 2, 3) + assert MatrixPermute(A, p).shape == (2, 3) + + +def test_MatrixPermute_explicit(): + p = Permutation(0, 1, 2) + A = MatrixSymbol('A', 3, 3) + AA = A.as_explicit() + assert MatrixPermute(A, p, 0).as_explicit() == \ + AA.permute(p, orientation='rows') + assert MatrixPermute(A, p, 1).as_explicit() == \ + AA.permute(p, orientation='cols') + + +def test_MatrixPermute_rewrite_MatMul(): + p = Permutation(0, 1, 2) + A = MatrixSymbol('A', 3, 3) + + assert MatrixPermute(A, p, 0).rewrite(MatMul).as_explicit() == \ + MatrixPermute(A, p, 0).as_explicit() + assert MatrixPermute(A, p, 1).rewrite(MatMul).as_explicit() == \ + MatrixPermute(A, p, 1).as_explicit() + + +def test_MatrixPermute_doit(): + p = Permutation(0, 1, 2) + A = MatrixSymbol('A', 3, 3) + assert MatrixPermute(A, p).doit() == MatrixPermute(A, p) + + p = Permutation(0, size=3) + A = MatrixSymbol('A', 3, 3) + assert MatrixPermute(A, p).doit().as_explicit() == \ + MatrixPermute(A, p).as_explicit() + + p = Permutation(0, 1, 2) + A = Identity(3) + assert MatrixPermute(A, p, 0).doit().as_explicit() == \ + MatrixPermute(A, p, 0).as_explicit() + assert MatrixPermute(A, p, 1).doit().as_explicit() == \ + MatrixPermute(A, p, 1).as_explicit() + + A = ZeroMatrix(3, 3) + assert MatrixPermute(A, p).doit() == A + A = OneMatrix(3, 3) + assert MatrixPermute(A, p).doit() == A + + A = MatrixSymbol('A', 4, 4) + p1 = Permutation(0, 1, 2, 3) + p2 = Permutation(0, 2, 3, 1) + expr = MatrixPermute(MatrixPermute(A, p1, 0), p2, 0) + assert expr.as_explicit() == expr.doit().as_explicit() + expr = MatrixPermute(MatrixPermute(A, p1, 1), p2, 1) + assert expr.as_explicit() == expr.doit().as_explicit() diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_sets.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_sets.py new file mode 100644 index 0000000000000000000000000000000000000000..e811c7968c5a22d65f1c99e995aaa7e5e59d15c4 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_sets.py @@ -0,0 +1,42 @@ +from sympy.core.singleton import S +from sympy.core.symbol import symbols +from sympy.matrices import Matrix +from sympy.matrices.expressions.matexpr import MatrixSymbol +from sympy.matrices.expressions.sets import MatrixSet +from sympy.matrices.expressions.special import ZeroMatrix +from sympy.testing.pytest import raises +from sympy.sets.sets import SetKind +from sympy.matrices.kind import MatrixKind +from sympy.core.kind import NumberKind + + +def test_MatrixSet(): + n, m = symbols('n m', integer=True) + A = MatrixSymbol('A', n, m) + C = MatrixSymbol('C', n, n) + + M = MatrixSet(2, 2, set=S.Reals) + assert M.shape == (2, 2) + assert M.set == S.Reals + X = Matrix([[1, 2], [3, 4]]) + assert X in M + X = ZeroMatrix(2, 2) + assert X in M + raises(TypeError, lambda: A in M) + raises(TypeError, lambda: 1 in M) + M = MatrixSet(n, m, set=S.Reals) + assert A in M + raises(TypeError, lambda: C in M) + raises(TypeError, lambda: X in M) + M = MatrixSet(2, 2, set={1, 2, 3}) + X = Matrix([[1, 2], [3, 4]]) + Y = Matrix([[1, 2]]) + assert (X in M) == S.false + assert (Y in M) == S.false + raises(ValueError, lambda: MatrixSet(2, -2, S.Reals)) + raises(ValueError, lambda: MatrixSet(2.4, -1, S.Reals)) + raises(TypeError, lambda: MatrixSet(2, 2, (1, 2, 3))) + + +def test_SetKind_MatrixSet(): + assert MatrixSet(2, 2, set=S.Reals).kind is SetKind(MatrixKind(NumberKind)) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_slice.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_slice.py new file mode 100644 index 0000000000000000000000000000000000000000..36490719e26908b9e913ed99b7673d602647c492 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_slice.py @@ -0,0 +1,65 @@ +from sympy.matrices.expressions.slice import MatrixSlice +from sympy.matrices.expressions import MatrixSymbol +from sympy.abc import a, b, c, d, k, l, m, n +from sympy.testing.pytest import raises, XFAIL +from sympy.functions.elementary.integers import floor +from sympy.assumptions import assuming, Q + + +X = MatrixSymbol('X', n, m) +Y = MatrixSymbol('Y', m, k) + +def test_shape(): + B = MatrixSlice(X, (a, b), (c, d)) + assert B.shape == (b - a, d - c) + +def test_entry(): + B = MatrixSlice(X, (a, b), (c, d)) + assert B[0,0] == X[a, c] + assert B[k,l] == X[a+k, c+l] + raises(IndexError, lambda : MatrixSlice(X, 1, (2, 5))[1, 0]) + + assert X[1::2, :][1, 3] == X[1+2, 3] + assert X[:, 1::2][3, 1] == X[3, 1+2] + +def test_on_diag(): + assert not MatrixSlice(X, (a, b), (c, d)).on_diag + assert MatrixSlice(X, (a, b), (a, b)).on_diag + +def test_inputs(): + assert MatrixSlice(X, 1, (2, 5)) == MatrixSlice(X, (1, 2), (2, 5)) + assert MatrixSlice(X, 1, (2, 5)).shape == (1, 3) + +def test_slicing(): + assert X[1:5, 2:4] == MatrixSlice(X, (1, 5), (2, 4)) + assert X[1, 2:4] == MatrixSlice(X, 1, (2, 4)) + assert X[1:5, :].shape == (4, X.shape[1]) + assert X[:, 1:5].shape == (X.shape[0], 4) + + assert X[::2, ::2].shape == (floor(n/2), floor(m/2)) + assert X[2, :] == MatrixSlice(X, 2, (0, m)) + assert X[k, :] == MatrixSlice(X, k, (0, m)) + +def test_exceptions(): + X = MatrixSymbol('x', 10, 20) + raises(IndexError, lambda: X[0:12, 2]) + raises(IndexError, lambda: X[0:9, 22]) + raises(IndexError, lambda: X[-1:5, 2]) + +@XFAIL +def test_symmetry(): + X = MatrixSymbol('x', 10, 10) + Y = X[:5, 5:] + with assuming(Q.symmetric(X)): + assert Y.T == X[5:, :5] + +def test_slice_of_slice(): + X = MatrixSymbol('x', 10, 10) + assert X[2, :][:, 3][0, 0] == X[2, 3] + assert X[:5, :5][:4, :4] == X[:4, :4] + assert X[1:5, 2:6][1:3, 2] == X[2:4, 4] + assert X[1:9:2, 2:6][1:3, 2] == X[3:7:2, 4] + +def test_negative_index(): + X = MatrixSymbol('x', 10, 10) + assert X[-1, :] == X[9, :] diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_special.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_special.py new file mode 100644 index 0000000000000000000000000000000000000000..beeaf1d76a63673b6622709cda598dfcb295bba4 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_special.py @@ -0,0 +1,228 @@ +from sympy.core.add import Add +from sympy.core.expr import unchanged +from sympy.core.mul import Mul +from sympy.core.symbol import symbols +from sympy.core.relational import Eq +from sympy.concrete.summations import Sum +from sympy.functions.elementary.complexes import im, re +from sympy.functions.elementary.piecewise import Piecewise +from sympy.matrices.immutable import ImmutableDenseMatrix +from sympy.matrices.expressions.matexpr import MatrixSymbol +from sympy.matrices.expressions.matadd import MatAdd +from sympy.matrices.expressions.special import ( + ZeroMatrix, GenericZeroMatrix, Identity, GenericIdentity, OneMatrix) +from sympy.matrices.expressions.matmul import MatMul +from sympy.testing.pytest import raises + + +def test_zero_matrix_creation(): + assert unchanged(ZeroMatrix, 2, 2) + assert unchanged(ZeroMatrix, 0, 0) + raises(ValueError, lambda: ZeroMatrix(-1, 2)) + raises(ValueError, lambda: ZeroMatrix(2.0, 2)) + raises(ValueError, lambda: ZeroMatrix(2j, 2)) + raises(ValueError, lambda: ZeroMatrix(2, -1)) + raises(ValueError, lambda: ZeroMatrix(2, 2.0)) + raises(ValueError, lambda: ZeroMatrix(2, 2j)) + + n = symbols('n') + assert unchanged(ZeroMatrix, n, n) + n = symbols('n', integer=False) + raises(ValueError, lambda: ZeroMatrix(n, n)) + n = symbols('n', negative=True) + raises(ValueError, lambda: ZeroMatrix(n, n)) + + +def test_generic_zero_matrix(): + z = GenericZeroMatrix() + n = symbols('n', integer=True) + A = MatrixSymbol("A", n, n) + + assert z == z + assert z != A + assert A != z + + assert z.is_ZeroMatrix + + raises(TypeError, lambda: z.shape) + raises(TypeError, lambda: z.rows) + raises(TypeError, lambda: z.cols) + + assert MatAdd() == z + assert MatAdd(z, A) == MatAdd(A) + # Make sure it is hashable + hash(z) + + +def test_identity_matrix_creation(): + assert Identity(2) + assert Identity(0) + raises(ValueError, lambda: Identity(-1)) + raises(ValueError, lambda: Identity(2.0)) + raises(ValueError, lambda: Identity(2j)) + + n = symbols('n') + assert Identity(n) + n = symbols('n', integer=False) + raises(ValueError, lambda: Identity(n)) + n = symbols('n', negative=True) + raises(ValueError, lambda: Identity(n)) + + +def test_generic_identity(): + I = GenericIdentity() + n = symbols('n', integer=True) + A = MatrixSymbol("A", n, n) + + assert I == I + assert I != A + assert A != I + + assert I.is_Identity + assert I**-1 == I + + raises(TypeError, lambda: I.shape) + raises(TypeError, lambda: I.rows) + raises(TypeError, lambda: I.cols) + + assert MatMul() == I + assert MatMul(I, A) == MatMul(A) + # Make sure it is hashable + hash(I) + + +def test_one_matrix_creation(): + assert OneMatrix(2, 2) + assert OneMatrix(0, 0) + assert Eq(OneMatrix(1, 1), Identity(1)) + raises(ValueError, lambda: OneMatrix(-1, 2)) + raises(ValueError, lambda: OneMatrix(2.0, 2)) + raises(ValueError, lambda: OneMatrix(2j, 2)) + raises(ValueError, lambda: OneMatrix(2, -1)) + raises(ValueError, lambda: OneMatrix(2, 2.0)) + raises(ValueError, lambda: OneMatrix(2, 2j)) + + n = symbols('n') + assert OneMatrix(n, n) + n = symbols('n', integer=False) + raises(ValueError, lambda: OneMatrix(n, n)) + n = symbols('n', negative=True) + raises(ValueError, lambda: OneMatrix(n, n)) + + +def test_ZeroMatrix(): + n, m = symbols('n m', integer=True) + A = MatrixSymbol('A', n, m) + Z = ZeroMatrix(n, m) + + assert A + Z == A + assert A*Z.T == ZeroMatrix(n, n) + assert Z*A.T == ZeroMatrix(n, n) + assert A - A == ZeroMatrix(*A.shape) + + assert Z + + assert Z.transpose() == ZeroMatrix(m, n) + assert Z.conjugate() == Z + assert Z.adjoint() == ZeroMatrix(m, n) + assert re(Z) == Z + assert im(Z) == Z + + assert ZeroMatrix(n, n)**0 == Identity(n) + assert ZeroMatrix(3, 3).as_explicit() == ImmutableDenseMatrix.zeros(3, 3) + + +def test_ZeroMatrix_doit(): + n = symbols('n', integer=True) + Znn = ZeroMatrix(Add(n, n, evaluate=False), n) + assert isinstance(Znn.rows, Add) + assert Znn.doit() == ZeroMatrix(2*n, n) + assert isinstance(Znn.doit().rows, Mul) + + +def test_OneMatrix(): + n, m = symbols('n m', integer=True) + A = MatrixSymbol('A', n, m) + U = OneMatrix(n, m) + + assert U.shape == (n, m) + assert isinstance(A + U, Add) + assert U.transpose() == OneMatrix(m, n) + assert U.conjugate() == U + assert U.adjoint() == OneMatrix(m, n) + assert re(U) == U + assert im(U) == ZeroMatrix(n, m) + + assert OneMatrix(n, n) ** 0 == Identity(n) + + U = OneMatrix(n, n) + assert U[1, 2] == 1 + + U = OneMatrix(2, 3) + assert U.as_explicit() == ImmutableDenseMatrix.ones(2, 3) + + +def test_OneMatrix_doit(): + n = symbols('n', integer=True) + Unn = OneMatrix(Add(n, n, evaluate=False), n) + assert isinstance(Unn.rows, Add) + assert Unn.doit() == OneMatrix(2 * n, n) + assert isinstance(Unn.doit().rows, Mul) + + +def test_OneMatrix_mul(): + n, m, k = symbols('n m k', integer=True) + w = MatrixSymbol('w', n, 1) + assert OneMatrix(n, m) * OneMatrix(m, k) == OneMatrix(n, k) * m + assert w * OneMatrix(1, 1) == w + assert OneMatrix(1, 1) * w.T == w.T + + +def test_Identity(): + n, m = symbols('n m', integer=True) + A = MatrixSymbol('A', n, m) + i, j = symbols('i j') + + In = Identity(n) + Im = Identity(m) + + assert A*Im == A + assert In*A == A + + assert In.transpose() == In + assert In.inverse() == In + assert In.conjugate() == In + assert In.adjoint() == In + assert re(In) == In + assert im(In) == ZeroMatrix(n, n) + + assert In[i, j] != 0 + assert Sum(In[i, j], (i, 0, n-1), (j, 0, n-1)).subs(n,3).doit() == 3 + assert Sum(Sum(In[i, j], (i, 0, n-1)), (j, 0, n-1)).subs(n,3).doit() == 3 + + # If range exceeds the limit `(0, n-1)`, do not remove `Piecewise`: + expr = Sum(In[i, j], (i, 0, n-1)) + assert expr.doit() == 1 + expr = Sum(In[i, j], (i, 0, n-2)) + assert expr.doit().dummy_eq( + Piecewise( + (1, (j >= 0) & (j <= n-2)), + (0, True) + ) + ) + expr = Sum(In[i, j], (i, 1, n-1)) + assert expr.doit().dummy_eq( + Piecewise( + (1, (j >= 1) & (j <= n-1)), + (0, True) + ) + ) + assert Identity(3).as_explicit() == ImmutableDenseMatrix.eye(3) + + +def test_Identity_doit(): + n = symbols('n', integer=True) + Inn = Identity(Add(n, n, evaluate=False)) + assert isinstance(Inn.rows, Add) + assert Inn.doit() == Identity(2*n) + assert isinstance(Inn.doit().rows, Mul) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_trace.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_trace.py new file mode 100644 index 0000000000000000000000000000000000000000..3bd66bec2377dae634ff486f42cc474eda7b23b1 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_trace.py @@ -0,0 +1,116 @@ +from sympy.core import Lambda, S, symbols +from sympy.concrete import Sum +from sympy.functions import adjoint, conjugate, transpose +from sympy.matrices import eye, Matrix, ShapeError, ImmutableMatrix +from sympy.matrices.expressions import ( + Adjoint, Identity, FunctionMatrix, MatrixExpr, MatrixSymbol, Trace, + ZeroMatrix, trace, MatPow, MatAdd, MatMul +) +from sympy.matrices.expressions.special import OneMatrix +from sympy.testing.pytest import raises +from sympy.abc import i + + +n = symbols('n', integer=True) +A = MatrixSymbol('A', n, n) +B = MatrixSymbol('B', n, n) +C = MatrixSymbol('C', 3, 4) + + +def test_Trace(): + assert isinstance(Trace(A), Trace) + assert not isinstance(Trace(A), MatrixExpr) + raises(ShapeError, lambda: Trace(C)) + assert trace(eye(3)) == 3 + assert trace(Matrix(3, 3, [1, 2, 3, 4, 5, 6, 7, 8, 9])) == 15 + + assert adjoint(Trace(A)) == trace(Adjoint(A)) + assert conjugate(Trace(A)) == trace(Adjoint(A)) + assert transpose(Trace(A)) == Trace(A) + + _ = A / Trace(A) # Make sure this is possible + + # Some easy simplifications + assert trace(Identity(5)) == 5 + assert trace(ZeroMatrix(5, 5)) == 0 + assert trace(OneMatrix(1, 1)) == 1 + assert trace(OneMatrix(2, 2)) == 2 + assert trace(OneMatrix(n, n)) == n + assert trace(2*A*B) == 2*Trace(A*B) + assert trace(A.T) == trace(A) + + i, j = symbols('i j') + F = FunctionMatrix(3, 3, Lambda((i, j), i + j)) + assert trace(F) == (0 + 0) + (1 + 1) + (2 + 2) + + raises(TypeError, lambda: Trace(S.One)) + + assert Trace(A).arg is A + + assert str(trace(A)) == str(Trace(A).doit()) + + assert Trace(A).is_commutative is True + +def test_Trace_A_plus_B(): + assert trace(A + B) == Trace(A) + Trace(B) + assert Trace(A + B).arg == MatAdd(A, B) + assert Trace(A + B).doit() == Trace(A) + Trace(B) + + +def test_Trace_MatAdd_doit(): + # See issue #9028 + X = ImmutableMatrix([[1, 2, 3]]*3) + Y = MatrixSymbol('Y', 3, 3) + q = MatAdd(X, 2*X, Y, -3*Y) + assert Trace(q).arg == q + assert Trace(q).doit() == 18 - 2*Trace(Y) + + +def test_Trace_MatPow_doit(): + X = Matrix([[1, 2], [3, 4]]) + assert Trace(X).doit() == 5 + q = MatPow(X, 2) + assert Trace(q).arg == q + assert Trace(q).doit() == 29 + + +def test_Trace_MutableMatrix_plus(): + # See issue #9043 + X = Matrix([[1, 2], [3, 4]]) + assert Trace(X) + Trace(X) == 2*Trace(X) + + +def test_Trace_doit_deep_False(): + X = Matrix([[1, 2], [3, 4]]) + q = MatPow(X, 2) + assert Trace(q).doit(deep=False).arg == q + q = MatAdd(X, 2*X) + assert Trace(q).doit(deep=False).arg == q + q = MatMul(X, 2*X) + assert Trace(q).doit(deep=False).arg == q + + +def test_trace_constant_factor(): + # Issue 9052: gave 2*Trace(MatMul(A)) instead of 2*Trace(A) + assert trace(2*A) == 2*Trace(A) + X = ImmutableMatrix([[1, 2], [3, 4]]) + assert trace(MatMul(2, X)) == 10 + + +def test_trace_rewrite(): + assert trace(A).rewrite(Sum) == Sum(A[i, i], (i, 0, n - 1)) + assert trace(eye(3)).rewrite(Sum) == 3 + + +def test_trace_normalize(): + assert Trace(B*A) != Trace(A*B) + assert Trace(B*A)._normalize() == Trace(A*B) + assert Trace(B*A.T)._normalize() == Trace(A*B.T) + + +def test_trace_as_explicit(): + raises(ValueError, lambda: Trace(A).as_explicit()) + + X = MatrixSymbol("X", 3, 3) + assert Trace(X).as_explicit() == X[0, 0] + X[1, 1] + X[2, 2] + assert Trace(eye(3)).as_explicit() == 3 diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_transpose.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_transpose.py new file mode 100644 index 0000000000000000000000000000000000000000..a1a6113873426d99bacf85484d3b66781f300af7 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/tests/test_transpose.py @@ -0,0 +1,69 @@ +from sympy.functions import adjoint, conjugate, transpose +from sympy.matrices.expressions import MatrixSymbol, Adjoint, trace, Transpose +from sympy.matrices import eye, Matrix +from sympy.assumptions.ask import Q +from sympy.assumptions.refine import refine +from sympy.core.singleton import S +from sympy.core.symbol import symbols + +n, m, l, k, p = symbols('n m l k p', integer=True) +A = MatrixSymbol('A', n, m) +B = MatrixSymbol('B', m, l) +C = MatrixSymbol('C', n, n) + + +def test_transpose(): + Sq = MatrixSymbol('Sq', n, n) + + assert transpose(A) == Transpose(A) + assert Transpose(A).shape == (m, n) + assert Transpose(A*B).shape == (l, n) + assert transpose(Transpose(A)) == A + assert isinstance(Transpose(Transpose(A)), Transpose) + + assert adjoint(Transpose(A)) == Adjoint(Transpose(A)) + assert conjugate(Transpose(A)) == Adjoint(A) + + assert Transpose(eye(3)).doit() == eye(3) + + assert Transpose(S(5)).doit() == S(5) + + assert Transpose(Matrix([[1, 2], [3, 4]])).doit() == Matrix([[1, 3], [2, 4]]) + + assert transpose(trace(Sq)) == trace(Sq) + assert trace(Transpose(Sq)) == trace(Sq) + + assert Transpose(Sq)[0, 1] == Sq[1, 0] + + assert Transpose(A*B).doit() == Transpose(B) * Transpose(A) + + +def test_transpose_MatAdd_MatMul(): + # Issue 16807 + from sympy.functions.elementary.trigonometric import cos + + x = symbols('x') + M = MatrixSymbol('M', 3, 3) + N = MatrixSymbol('N', 3, 3) + + assert (N + (cos(x) * M)).T == cos(x)*M.T + N.T + + +def test_refine(): + assert refine(C.T, Q.symmetric(C)) == C + + +def test_transpose1x1(): + m = MatrixSymbol('m', 1, 1) + assert m == refine(m.T) + assert m == refine(m.T.T) + +def test_issue_9817(): + from sympy.matrices.expressions import Identity + v = MatrixSymbol('v', 3, 1) + A = MatrixSymbol('A', 3, 3) + x = Matrix([i + 1 for i in range(3)]) + X = Identity(3) + quadratic = v.T * A * v + subbed = quadratic.xreplace({v:x, A:X}) + assert subbed.as_explicit() == Matrix([[14]]) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/trace.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/trace.py new file mode 100644 index 0000000000000000000000000000000000000000..b5f9f94ea7486dc21b47c2e2e783a93280b180e0 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/trace.py @@ -0,0 +1,167 @@ +from sympy.core.basic import Basic +from sympy.core.expr import Expr, ExprBuilder +from sympy.core.singleton import S +from sympy.core.sorting import default_sort_key +from sympy.core.symbol import uniquely_named_symbol +from sympy.core.sympify import sympify +from sympy.matrices.matrixbase import MatrixBase +from sympy.matrices.exceptions import NonSquareMatrixError + + +class Trace(Expr): + """Matrix Trace + + Represents the trace of a matrix expression. + + Examples + ======== + + >>> from sympy import MatrixSymbol, Trace, eye + >>> A = MatrixSymbol('A', 3, 3) + >>> Trace(A) + Trace(A) + >>> Trace(eye(3)) + Trace(Matrix([ + [1, 0, 0], + [0, 1, 0], + [0, 0, 1]])) + >>> Trace(eye(3)).simplify() + 3 + """ + is_Trace = True + is_commutative = True + + def __new__(cls, mat): + mat = sympify(mat) + + if not mat.is_Matrix: + raise TypeError("input to Trace, %s, is not a matrix" % str(mat)) + + if mat.is_square is False: + raise NonSquareMatrixError("Trace of a non-square matrix") + + return Basic.__new__(cls, mat) + + def _eval_transpose(self): + return self + + def _eval_derivative(self, v): + from sympy.concrete.summations import Sum + from .matexpr import MatrixElement + if isinstance(v, MatrixElement): + return self.rewrite(Sum).diff(v) + expr = self.doit() + if isinstance(expr, Trace): + # Avoid looping infinitely: + raise NotImplementedError + return expr._eval_derivative(v) + + def _eval_derivative_matrix_lines(self, x): + from sympy.tensor.array.expressions.array_expressions import ArrayTensorProduct, ArrayContraction + r = self.args[0]._eval_derivative_matrix_lines(x) + for lr in r: + if lr.higher == 1: + lr.higher = ExprBuilder( + ArrayContraction, + [ + ExprBuilder( + ArrayTensorProduct, + [ + lr._lines[0], + lr._lines[1], + ] + ), + (1, 3), + ], + validator=ArrayContraction._validate + ) + else: + # This is not a matrix line: + lr.higher = ExprBuilder( + ArrayContraction, + [ + ExprBuilder( + ArrayTensorProduct, + [ + lr._lines[0], + lr._lines[1], + lr.higher, + ] + ), + (1, 3), (0, 2) + ] + ) + lr._lines = [S.One, S.One] + lr._first_pointer_parent = lr._lines + lr._second_pointer_parent = lr._lines + lr._first_pointer_index = 0 + lr._second_pointer_index = 1 + return r + + @property + def arg(self): + return self.args[0] + + def doit(self, **hints): + if hints.get('deep', True): + arg = self.arg.doit(**hints) + result = arg._eval_trace() + if result is not None: + return result + else: + return Trace(arg) + else: + # _eval_trace would go too deep here + if isinstance(self.arg, MatrixBase): + return trace(self.arg) + else: + return Trace(self.arg) + + def as_explicit(self): + return Trace(self.arg.as_explicit()).doit() + + def _normalize(self): + # Normalization of trace of matrix products. Use transposition and + # cyclic properties of traces to make sure the arguments of the matrix + # product are sorted and the first argument is not a transposition. + from sympy.matrices.expressions.matmul import MatMul + from sympy.matrices.expressions.transpose import Transpose + trace_arg = self.arg + if isinstance(trace_arg, MatMul): + + def get_arg_key(x): + a = trace_arg.args[x] + if isinstance(a, Transpose): + a = a.arg + return default_sort_key(a) + + indmin = min(range(len(trace_arg.args)), key=get_arg_key) + if isinstance(trace_arg.args[indmin], Transpose): + trace_arg = Transpose(trace_arg).doit() + indmin = min(range(len(trace_arg.args)), key=lambda x: default_sort_key(trace_arg.args[x])) + trace_arg = MatMul.fromiter(trace_arg.args[indmin:] + trace_arg.args[:indmin]) + return Trace(trace_arg) + return self + + def _eval_rewrite_as_Sum(self, expr, **kwargs): + from sympy.concrete.summations import Sum + i = uniquely_named_symbol('i', [expr]) + s = Sum(self.arg[i, i], (i, 0, self.arg.rows - 1)) + return s.doit() + + +def trace(expr): + """Trace of a Matrix. Sum of the diagonal elements. + + Examples + ======== + + >>> from sympy import trace, Symbol, MatrixSymbol, eye + >>> n = Symbol('n') + >>> X = MatrixSymbol('X', n, n) # A square matrix + >>> trace(2*X) + 2*Trace(X) + >>> trace(eye(3)) + 3 + """ + return Trace(expr).doit() diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/transpose.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/transpose.py new file mode 100644 index 0000000000000000000000000000000000000000..b11f7fc21490aab219420610ca529d81d6995d40 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/expressions/transpose.py @@ -0,0 +1,103 @@ +from sympy.core.basic import Basic +from sympy.matrices.expressions.matexpr import MatrixExpr + + +class Transpose(MatrixExpr): + """ + The transpose of a matrix expression. + + This is a symbolic object that simply stores its argument without + evaluating it. To actually compute the transpose, use the ``transpose()`` + function, or the ``.T`` attribute of matrices. + + Examples + ======== + + >>> from sympy import MatrixSymbol, Transpose, transpose + >>> A = MatrixSymbol('A', 3, 5) + >>> B = MatrixSymbol('B', 5, 3) + >>> Transpose(A) + A.T + >>> A.T == transpose(A) == Transpose(A) + True + >>> Transpose(A*B) + (A*B).T + >>> transpose(A*B) + B.T*A.T + + """ + is_Transpose = True + + def doit(self, **hints): + arg = self.arg + if hints.get('deep', True) and isinstance(arg, Basic): + arg = arg.doit(**hints) + _eval_transpose = getattr(arg, '_eval_transpose', None) + if _eval_transpose is not None: + result = _eval_transpose() + return result if result is not None else Transpose(arg) + else: + return Transpose(arg) + + @property + def arg(self): + return self.args[0] + + @property + def shape(self): + return self.arg.shape[::-1] + + def _entry(self, i, j, expand=False, **kwargs): + return self.arg._entry(j, i, expand=expand, **kwargs) + + def _eval_adjoint(self): + return self.arg.conjugate() + + def _eval_conjugate(self): + return self.arg.adjoint() + + def _eval_transpose(self): + return self.arg + + def _eval_trace(self): + from .trace import Trace + return Trace(self.arg) # Trace(X.T) => Trace(X) + + def _eval_determinant(self): + from sympy.matrices.expressions.determinant import det + return det(self.arg) + + def _eval_derivative(self, x): + # x is a scalar: + return self.arg._eval_derivative(x) + + def _eval_derivative_matrix_lines(self, x): + lines = self.args[0]._eval_derivative_matrix_lines(x) + return [i.transpose() for i in lines] + + +def transpose(expr): + """Matrix transpose""" + return Transpose(expr).doit(deep=False) + + +from sympy.assumptions.ask import ask, Q +from sympy.assumptions.refine import handlers_dict + + +def refine_Transpose(expr, assumptions): + """ + >>> from sympy import MatrixSymbol, Q, assuming, refine + >>> X = MatrixSymbol('X', 2, 2) + >>> X.T + X.T + >>> with assuming(Q.symmetric(X)): + ... print(refine(X.T)) + X + """ + if ask(Q.symmetric(expr), assumptions): + return expr.arg + + return expr + +handlers_dict['Transpose'] = refine_Transpose diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/__init__.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/__pycache__/__init__.cpython-312.pyc b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..2e4391aab604f13a20eecb74459a592c7e02c6ee Binary files /dev/null and b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/__pycache__/__init__.cpython-312.pyc differ diff --git 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b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/test_commonmatrix.py new file mode 100644 index 0000000000000000000000000000000000000000..6735adc1a9d4f9934a55c7ee70b087a19d3a48b4 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/test_commonmatrix.py @@ -0,0 +1,1266 @@ +# +# Code for testing deprecated matrix classes. New test code should not be added +# here. Instead, add it to test_matrixbase.py. +# +# This entire test module and the corresponding sympy/matrices/common.py +# module will be removed in a future release. +# +from sympy.testing.pytest import raises, XFAIL, warns_deprecated_sympy + +from sympy.assumptions import Q +from sympy.core.expr import Expr +from sympy.core.add import Add +from sympy.core.function import Function +from sympy.core.kind import NumberKind, UndefinedKind +from sympy.core.numbers import I, Integer, oo, pi, Rational +from sympy.core.singleton import S +from sympy.core.symbol import Symbol, symbols +from sympy.functions.elementary.complexes import Abs +from sympy.functions.elementary.exponential import exp +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.trigonometric import cos, sin +from sympy.matrices.exceptions import ShapeError, NonSquareMatrixError +from sympy.matrices.kind import MatrixKind +from sympy.matrices.common import ( + _MinimalMatrix, _CastableMatrix, MatrixShaping, MatrixProperties, + MatrixOperations, MatrixArithmetic, MatrixSpecial) +from sympy.matrices.matrices import MatrixCalculus +from sympy.matrices import (Matrix, diag, eye, + matrix_multiply_elementwise, ones, zeros, SparseMatrix, banded, + MutableDenseMatrix, MutableSparseMatrix, ImmutableDenseMatrix, + ImmutableSparseMatrix) +from sympy.polys.polytools import Poly +from sympy.utilities.iterables import flatten +from sympy.tensor.array.dense_ndim_array import ImmutableDenseNDimArray as Array + +from sympy.abc import x, y, z + + +def test_matrix_deprecated_isinstance(): + + # Test that e.g. isinstance(M, MatrixCommon) still gives True when M is a + # Matrix for each of the deprecated matrix classes. + + from sympy.matrices.common import ( + MatrixRequired, + MatrixShaping, + MatrixSpecial, + MatrixProperties, + MatrixOperations, + MatrixArithmetic, + MatrixCommon + ) + from sympy.matrices.matrices import ( + MatrixDeterminant, + MatrixReductions, + MatrixSubspaces, + MatrixEigen, + MatrixCalculus, + MatrixDeprecated + ) + from sympy import ( + Matrix, + ImmutableMatrix, + SparseMatrix, + ImmutableSparseMatrix + ) + all_mixins = ( + MatrixRequired, + MatrixShaping, + MatrixSpecial, + MatrixProperties, + MatrixOperations, + MatrixArithmetic, + MatrixCommon, + MatrixDeterminant, + MatrixReductions, + MatrixSubspaces, + MatrixEigen, + MatrixCalculus, + MatrixDeprecated + ) + all_matrices = ( + Matrix, + ImmutableMatrix, + SparseMatrix, + ImmutableSparseMatrix + ) + + Ms = [M([[1, 2], [3, 4]]) for M in all_matrices] + t = () + + for mixin in all_mixins: + for M in Ms: + with warns_deprecated_sympy(): + assert isinstance(M, mixin) is True + with warns_deprecated_sympy(): + assert isinstance(t, mixin) is False + + +# classes to test the deprecated matrix classes. We use warns_deprecated_sympy +# to suppress the deprecation warnings because subclassing the deprecated +# classes causes a warning to be raised. + +with warns_deprecated_sympy(): + class ShapingOnlyMatrix(_MinimalMatrix, _CastableMatrix, MatrixShaping): + pass + + +def eye_Shaping(n): + return ShapingOnlyMatrix(n, n, lambda i, j: int(i == j)) + + +def zeros_Shaping(n): + return ShapingOnlyMatrix(n, n, lambda i, j: 0) + + +with warns_deprecated_sympy(): + class PropertiesOnlyMatrix(_MinimalMatrix, _CastableMatrix, MatrixProperties): + pass + + +def eye_Properties(n): + return PropertiesOnlyMatrix(n, n, lambda i, j: int(i == j)) + + +def zeros_Properties(n): + return PropertiesOnlyMatrix(n, n, lambda i, j: 0) + + +with warns_deprecated_sympy(): + class OperationsOnlyMatrix(_MinimalMatrix, _CastableMatrix, MatrixOperations): + pass + + +def eye_Operations(n): + return OperationsOnlyMatrix(n, n, lambda i, j: int(i == j)) + + +def zeros_Operations(n): + return OperationsOnlyMatrix(n, n, lambda i, j: 0) + + +with warns_deprecated_sympy(): + class ArithmeticOnlyMatrix(_MinimalMatrix, _CastableMatrix, MatrixArithmetic): + pass + + +def eye_Arithmetic(n): + return ArithmeticOnlyMatrix(n, n, lambda i, j: int(i == j)) + + +def zeros_Arithmetic(n): + return ArithmeticOnlyMatrix(n, n, lambda i, j: 0) + + +with warns_deprecated_sympy(): + class SpecialOnlyMatrix(_MinimalMatrix, _CastableMatrix, MatrixSpecial): + pass + + +with warns_deprecated_sympy(): + class CalculusOnlyMatrix(_MinimalMatrix, _CastableMatrix, MatrixCalculus): + pass + + +def test__MinimalMatrix(): + x = _MinimalMatrix(2, 3, [1, 2, 3, 4, 5, 6]) + assert x.rows == 2 + assert x.cols == 3 + assert x[2] == 3 + assert x[1, 1] == 5 + assert list(x) == [1, 2, 3, 4, 5, 6] + assert list(x[1, :]) == [4, 5, 6] + assert list(x[:, 1]) == [2, 5] + assert list(x[:, :]) == list(x) + assert x[:, :] == x + assert _MinimalMatrix(x) == x + assert _MinimalMatrix([[1, 2, 3], [4, 5, 6]]) == x + assert _MinimalMatrix(([1, 2, 3], [4, 5, 6])) == x + assert _MinimalMatrix([(1, 2, 3), (4, 5, 6)]) == x + assert _MinimalMatrix(((1, 2, 3), (4, 5, 6))) == x + assert not (_MinimalMatrix([[1, 2], [3, 4], [5, 6]]) == x) + + +def test_kind(): + assert Matrix([[1, 2], [3, 4]]).kind == MatrixKind(NumberKind) + assert Matrix([[0, 0], [0, 0]]).kind == MatrixKind(NumberKind) + assert Matrix(0, 0, []).kind == MatrixKind(NumberKind) + assert Matrix([[x]]).kind == MatrixKind(NumberKind) + assert Matrix([[1, Matrix([[1]])]]).kind == MatrixKind(UndefinedKind) + assert SparseMatrix([[1]]).kind == MatrixKind(NumberKind) + assert SparseMatrix([[1, Matrix([[1]])]]).kind == MatrixKind(UndefinedKind) + + +# ShapingOnlyMatrix tests +def test_vec(): + m = ShapingOnlyMatrix(2, 2, [1, 3, 2, 4]) + m_vec = m.vec() + assert m_vec.cols == 1 + for i in range(4): + assert m_vec[i] == i + 1 + + +def test_todok(): + a, b, c, d = symbols('a:d') + m1 = MutableDenseMatrix([[a, b], [c, d]]) + m2 = ImmutableDenseMatrix([[a, b], [c, d]]) + m3 = MutableSparseMatrix([[a, b], [c, d]]) + m4 = ImmutableSparseMatrix([[a, b], [c, d]]) + assert m1.todok() == m2.todok() == m3.todok() == m4.todok() == \ + {(0, 0): a, (0, 1): b, (1, 0): c, (1, 1): d} + + +def test_tolist(): + lst = [[S.One, S.Half, x*y, S.Zero], [x, y, z, x**2], [y, -S.One, z*x, 3]] + flat_lst = [S.One, S.Half, x*y, S.Zero, x, y, z, x**2, y, -S.One, z*x, 3] + m = ShapingOnlyMatrix(3, 4, flat_lst) + assert m.tolist() == lst + +def test_todod(): + m = ShapingOnlyMatrix(3, 2, [[S.One, 0], [0, S.Half], [x, 0]]) + dict = {0: {0: S.One}, 1: {1: S.Half}, 2: {0: x}} + assert m.todod() == dict + +def test_row_col_del(): + e = ShapingOnlyMatrix(3, 3, [1, 2, 3, 4, 5, 6, 7, 8, 9]) + raises(IndexError, lambda: e.row_del(5)) + raises(IndexError, lambda: e.row_del(-5)) + raises(IndexError, lambda: e.col_del(5)) + raises(IndexError, lambda: e.col_del(-5)) + + assert e.row_del(2) == e.row_del(-1) == Matrix([[1, 2, 3], [4, 5, 6]]) + assert e.col_del(2) == e.col_del(-1) == Matrix([[1, 2], [4, 5], [7, 8]]) + + assert e.row_del(1) == e.row_del(-2) == Matrix([[1, 2, 3], [7, 8, 9]]) + assert e.col_del(1) == e.col_del(-2) == Matrix([[1, 3], [4, 6], [7, 9]]) + + +def test_get_diag_blocks1(): + a = Matrix([[1, 2], [2, 3]]) + b = Matrix([[3, x], [y, 3]]) + c = Matrix([[3, x, 3], [y, 3, z], [x, y, z]]) + assert a.get_diag_blocks() == [a] + assert b.get_diag_blocks() == [b] + assert c.get_diag_blocks() == [c] + + +def test_get_diag_blocks2(): + a = Matrix([[1, 2], [2, 3]]) + b = Matrix([[3, x], [y, 3]]) + c = Matrix([[3, x, 3], [y, 3, z], [x, y, z]]) + A, B, C, D = diag(a, b, b), diag(a, b, c), diag(a, c, b), diag(c, c, b) + A = ShapingOnlyMatrix(A.rows, A.cols, A) + B = ShapingOnlyMatrix(B.rows, B.cols, B) + C = ShapingOnlyMatrix(C.rows, C.cols, C) + D = ShapingOnlyMatrix(D.rows, D.cols, D) + + assert A.get_diag_blocks() == [a, b, b] + assert B.get_diag_blocks() == [a, b, c] + assert C.get_diag_blocks() == [a, c, b] + assert D.get_diag_blocks() == [c, c, b] + + +def test_shape(): + m = ShapingOnlyMatrix(1, 2, [0, 0]) + assert m.shape == (1, 2) + + +def test_reshape(): + m0 = eye_Shaping(3) + assert m0.reshape(1, 9) == Matrix(1, 9, (1, 0, 0, 0, 1, 0, 0, 0, 1)) + m1 = ShapingOnlyMatrix(3, 4, lambda i, j: i + j) + assert m1.reshape( + 4, 3) == Matrix(((0, 1, 2), (3, 1, 2), (3, 4, 2), (3, 4, 5))) + assert m1.reshape(2, 6) == Matrix(((0, 1, 2, 3, 1, 2), (3, 4, 2, 3, 4, 5))) + + +def test_row_col(): + m = ShapingOnlyMatrix(3, 3, [1, 2, 3, 4, 5, 6, 7, 8, 9]) + assert m.row(0) == Matrix(1, 3, [1, 2, 3]) + assert m.col(0) == Matrix(3, 1, [1, 4, 7]) + + +def test_row_join(): + assert eye_Shaping(3).row_join(Matrix([7, 7, 7])) == \ + Matrix([[1, 0, 0, 7], + [0, 1, 0, 7], + [0, 0, 1, 7]]) + + +def test_col_join(): + assert eye_Shaping(3).col_join(Matrix([[7, 7, 7]])) == \ + Matrix([[1, 0, 0], + [0, 1, 0], + [0, 0, 1], + [7, 7, 7]]) + + +def test_row_insert(): + r4 = Matrix([[4, 4, 4]]) + for i in range(-4, 5): + l = [1, 0, 0] + l.insert(i, 4) + assert flatten(eye_Shaping(3).row_insert(i, r4).col(0).tolist()) == l + + +def test_col_insert(): + c4 = Matrix([4, 4, 4]) + for i in range(-4, 5): + l = [0, 0, 0] + l.insert(i, 4) + assert flatten(zeros_Shaping(3).col_insert(i, c4).row(0).tolist()) == l + # issue 13643 + assert eye_Shaping(6).col_insert(3, Matrix([[2, 2], [2, 2], [2, 2], [2, 2], [2, 2], [2, 2]])) == \ + Matrix([[1, 0, 0, 2, 2, 0, 0, 0], + [0, 1, 0, 2, 2, 0, 0, 0], + [0, 0, 1, 2, 2, 0, 0, 0], + [0, 0, 0, 2, 2, 1, 0, 0], + [0, 0, 0, 2, 2, 0, 1, 0], + [0, 0, 0, 2, 2, 0, 0, 1]]) + + +def test_extract(): + m = ShapingOnlyMatrix(4, 3, lambda i, j: i*3 + j) + assert m.extract([0, 1, 3], [0, 1]) == Matrix(3, 2, [0, 1, 3, 4, 9, 10]) + assert m.extract([0, 3], [0, 0, 2]) == Matrix(2, 3, [0, 0, 2, 9, 9, 11]) + assert m.extract(range(4), range(3)) == m + raises(IndexError, lambda: m.extract([4], [0])) + raises(IndexError, lambda: m.extract([0], [3])) + + +def test_hstack(): + m = ShapingOnlyMatrix(4, 3, lambda i, j: i*3 + j) + m2 = ShapingOnlyMatrix(3, 4, lambda i, j: i*3 + j) + assert m == m.hstack(m) + assert m.hstack(m, m, m) == ShapingOnlyMatrix.hstack(m, m, m) == Matrix([ + [0, 1, 2, 0, 1, 2, 0, 1, 2], + [3, 4, 5, 3, 4, 5, 3, 4, 5], + [6, 7, 8, 6, 7, 8, 6, 7, 8], + [9, 10, 11, 9, 10, 11, 9, 10, 11]]) + raises(ShapeError, lambda: m.hstack(m, m2)) + assert Matrix.hstack() == Matrix() + + # test regression #12938 + M1 = Matrix.zeros(0, 0) + M2 = Matrix.zeros(0, 1) + M3 = Matrix.zeros(0, 2) + M4 = Matrix.zeros(0, 3) + m = ShapingOnlyMatrix.hstack(M1, M2, M3, M4) + assert m.rows == 0 and m.cols == 6 + + +def test_vstack(): + m = ShapingOnlyMatrix(4, 3, lambda i, j: i*3 + j) + m2 = ShapingOnlyMatrix(3, 4, lambda i, j: i*3 + j) + assert m == m.vstack(m) + assert m.vstack(m, m, m) == ShapingOnlyMatrix.vstack(m, m, m) == Matrix([ + [0, 1, 2], + [3, 4, 5], + [6, 7, 8], + [9, 10, 11], + [0, 1, 2], + [3, 4, 5], + [6, 7, 8], + [9, 10, 11], + [0, 1, 2], + [3, 4, 5], + [6, 7, 8], + [9, 10, 11]]) + raises(ShapeError, lambda: m.vstack(m, m2)) + assert Matrix.vstack() == Matrix() + + +# PropertiesOnlyMatrix tests +def test_atoms(): + m = PropertiesOnlyMatrix(2, 2, [1, 2, x, 1 - 1/x]) + assert m.atoms() == {S.One, S(2), S.NegativeOne, x} + assert m.atoms(Symbol) == {x} + + +def test_free_symbols(): + assert PropertiesOnlyMatrix([[x], [0]]).free_symbols == {x} + + +def test_has(): + A = PropertiesOnlyMatrix(((x, y), (2, 3))) + assert A.has(x) + assert not A.has(z) + assert A.has(Symbol) + + A = PropertiesOnlyMatrix(((2, y), (2, 3))) + assert not A.has(x) + + +def test_is_anti_symmetric(): + x = symbols('x') + assert PropertiesOnlyMatrix(2, 1, [1, 2]).is_anti_symmetric() is False + m = PropertiesOnlyMatrix(3, 3, [0, x**2 + 2*x + 1, y, -(x + 1)**2, 0, x*y, -y, -x*y, 0]) + assert m.is_anti_symmetric() is True + assert m.is_anti_symmetric(simplify=False) is False + assert m.is_anti_symmetric(simplify=lambda x: x) is False + + m = PropertiesOnlyMatrix(3, 3, [x.expand() for x in m]) + assert m.is_anti_symmetric(simplify=False) is True + m = PropertiesOnlyMatrix(3, 3, [x.expand() for x in [S.One] + list(m)[1:]]) + assert m.is_anti_symmetric() is False + + +def test_diagonal_symmetrical(): + m = PropertiesOnlyMatrix(2, 2, [0, 1, 1, 0]) + assert not m.is_diagonal() + assert m.is_symmetric() + assert m.is_symmetric(simplify=False) + + m = PropertiesOnlyMatrix(2, 2, [1, 0, 0, 1]) + assert m.is_diagonal() + + m = PropertiesOnlyMatrix(3, 3, diag(1, 2, 3)) + assert m.is_diagonal() + assert m.is_symmetric() + + m = PropertiesOnlyMatrix(3, 3, [1, 0, 0, 0, 2, 0, 0, 0, 3]) + assert m == diag(1, 2, 3) + + m = PropertiesOnlyMatrix(2, 3, zeros(2, 3)) + assert not m.is_symmetric() + assert m.is_diagonal() + + m = PropertiesOnlyMatrix(((5, 0), (0, 6), (0, 0))) + assert m.is_diagonal() + + m = PropertiesOnlyMatrix(((5, 0, 0), (0, 6, 0))) + assert m.is_diagonal() + + m = Matrix(3, 3, [1, x**2 + 2*x + 1, y, (x + 1)**2, 2, 0, y, 0, 3]) + assert m.is_symmetric() + assert not m.is_symmetric(simplify=False) + assert m.expand().is_symmetric(simplify=False) + + +def test_is_hermitian(): + a = PropertiesOnlyMatrix([[1, I], [-I, 1]]) + assert a.is_hermitian + a = PropertiesOnlyMatrix([[2*I, I], [-I, 1]]) + assert a.is_hermitian is False + a = PropertiesOnlyMatrix([[x, I], [-I, 1]]) + assert a.is_hermitian is None + a = PropertiesOnlyMatrix([[x, 1], [-I, 1]]) + assert a.is_hermitian is False + + +def test_is_Identity(): + assert eye_Properties(3).is_Identity + assert not PropertiesOnlyMatrix(zeros(3)).is_Identity + assert not PropertiesOnlyMatrix(ones(3)).is_Identity + # issue 6242 + assert not PropertiesOnlyMatrix([[1, 0, 0]]).is_Identity + + +def test_is_symbolic(): + a = PropertiesOnlyMatrix([[x, x], [x, x]]) + assert a.is_symbolic() is True + a = PropertiesOnlyMatrix([[1, 2, 3, 4], [5, 6, 7, 8]]) + assert a.is_symbolic() is False + a = PropertiesOnlyMatrix([[1, 2, 3, 4], [5, 6, x, 8]]) + assert a.is_symbolic() is True + a = PropertiesOnlyMatrix([[1, x, 3]]) + assert a.is_symbolic() is True + a = PropertiesOnlyMatrix([[1, 2, 3]]) + assert a.is_symbolic() is False + a = PropertiesOnlyMatrix([[1], [x], [3]]) + assert a.is_symbolic() is True + a = PropertiesOnlyMatrix([[1], [2], [3]]) + assert a.is_symbolic() is False + + +def test_is_upper(): + a = PropertiesOnlyMatrix([[1, 2, 3]]) + assert a.is_upper is True + a = PropertiesOnlyMatrix([[1], [2], [3]]) + assert a.is_upper is False + + +def test_is_lower(): + a = PropertiesOnlyMatrix([[1, 2, 3]]) + assert a.is_lower is False + a = PropertiesOnlyMatrix([[1], [2], [3]]) + assert a.is_lower is True + + +def test_is_square(): + m = PropertiesOnlyMatrix([[1], [1]]) + m2 = PropertiesOnlyMatrix([[2, 2], [2, 2]]) + assert not m.is_square + assert m2.is_square + + +def test_is_symmetric(): + m = PropertiesOnlyMatrix(2, 2, [0, 1, 1, 0]) + assert m.is_symmetric() + m = PropertiesOnlyMatrix(2, 2, [0, 1, 0, 1]) + assert not m.is_symmetric() + + +def test_is_hessenberg(): + A = PropertiesOnlyMatrix([[3, 4, 1], [2, 4, 5], [0, 1, 2]]) + assert A.is_upper_hessenberg + A = PropertiesOnlyMatrix(3, 3, [3, 2, 0, 4, 4, 1, 1, 5, 2]) + assert A.is_lower_hessenberg + A = PropertiesOnlyMatrix(3, 3, [3, 2, -1, 4, 4, 1, 1, 5, 2]) + assert A.is_lower_hessenberg is False + assert A.is_upper_hessenberg is False + + A = PropertiesOnlyMatrix([[3, 4, 1], [2, 4, 5], [3, 1, 2]]) + assert not A.is_upper_hessenberg + + +def test_is_zero(): + assert PropertiesOnlyMatrix(0, 0, []).is_zero_matrix + assert PropertiesOnlyMatrix([[0, 0], [0, 0]]).is_zero_matrix + assert PropertiesOnlyMatrix(zeros(3, 4)).is_zero_matrix + assert not PropertiesOnlyMatrix(eye(3)).is_zero_matrix + assert PropertiesOnlyMatrix([[x, 0], [0, 0]]).is_zero_matrix == None + assert PropertiesOnlyMatrix([[x, 1], [0, 0]]).is_zero_matrix == False + a = Symbol('a', nonzero=True) + assert PropertiesOnlyMatrix([[a, 0], [0, 0]]).is_zero_matrix == False + + +def test_values(): + assert set(PropertiesOnlyMatrix(2, 2, [0, 1, 2, 3] + ).values()) == {1, 2, 3} + x = Symbol('x', real=True) + assert set(PropertiesOnlyMatrix(2, 2, [x, 0, 0, 1] + ).values()) == {x, 1} + + +# OperationsOnlyMatrix tests +def test_applyfunc(): + m0 = OperationsOnlyMatrix(eye(3)) + assert m0.applyfunc(lambda x: 2*x) == eye(3)*2 + assert m0.applyfunc(lambda x: 0) == zeros(3) + assert m0.applyfunc(lambda x: 1) == ones(3) + + +def test_adjoint(): + dat = [[0, I], [1, 0]] + ans = OperationsOnlyMatrix([[0, 1], [-I, 0]]) + assert ans.adjoint() == Matrix(dat) + + +def test_as_real_imag(): + m1 = OperationsOnlyMatrix(2, 2, [1, 2, 3, 4]) + m3 = OperationsOnlyMatrix(2, 2, + [1 + S.ImaginaryUnit, 2 + 2*S.ImaginaryUnit, + 3 + 3*S.ImaginaryUnit, 4 + 4*S.ImaginaryUnit]) + + a, b = m3.as_real_imag() + assert a == m1 + assert b == m1 + + +def test_conjugate(): + M = OperationsOnlyMatrix([[0, I, 5], + [1, 2, 0]]) + + assert M.T == Matrix([[0, 1], + [I, 2], + [5, 0]]) + + assert M.C == Matrix([[0, -I, 5], + [1, 2, 0]]) + assert M.C == M.conjugate() + + assert M.H == M.T.C + assert M.H == Matrix([[ 0, 1], + [-I, 2], + [ 5, 0]]) + + +def test_doit(): + a = OperationsOnlyMatrix([[Add(x, x, evaluate=False)]]) + assert a[0] != 2*x + assert a.doit() == Matrix([[2*x]]) + + +def test_evalf(): + a = OperationsOnlyMatrix(2, 1, [sqrt(5), 6]) + assert all(a.evalf()[i] == a[i].evalf() for i in range(2)) + assert all(a.evalf(2)[i] == a[i].evalf(2) for i in range(2)) + assert all(a.n(2)[i] == a[i].n(2) for i in range(2)) + + +def test_expand(): + m0 = OperationsOnlyMatrix([[x*(x + y), 2], [((x + y)*y)*x, x*(y + x*(x + y))]]) + # Test if expand() returns a matrix + m1 = m0.expand() + assert m1 == Matrix( + [[x*y + x**2, 2], [x*y**2 + y*x**2, x*y + y*x**2 + x**3]]) + + a = Symbol('a', real=True) + + assert OperationsOnlyMatrix(1, 1, [exp(I*a)]).expand(complex=True) == \ + Matrix([cos(a) + I*sin(a)]) + + +def test_refine(): + m0 = OperationsOnlyMatrix([[Abs(x)**2, sqrt(x**2)], + [sqrt(x**2)*Abs(y)**2, sqrt(y**2)*Abs(x)**2]]) + m1 = m0.refine(Q.real(x) & Q.real(y)) + assert m1 == Matrix([[x**2, Abs(x)], [y**2*Abs(x), x**2*Abs(y)]]) + + m1 = m0.refine(Q.positive(x) & Q.positive(y)) + assert m1 == Matrix([[x**2, x], [x*y**2, x**2*y]]) + + m1 = m0.refine(Q.negative(x) & Q.negative(y)) + assert m1 == Matrix([[x**2, -x], [-x*y**2, -x**2*y]]) + + +def test_replace(): + F, G = symbols('F, G', cls=Function) + K = OperationsOnlyMatrix(2, 2, lambda i, j: G(i+j)) + M = OperationsOnlyMatrix(2, 2, lambda i, j: F(i+j)) + N = M.replace(F, G) + assert N == K + + +def test_replace_map(): + F, G = symbols('F, G', cls=Function) + K = OperationsOnlyMatrix(2, 2, [(G(0), {F(0): G(0)}), (G(1), {F(1): G(1)}), (G(1), {F(1) \ + : G(1)}), (G(2), {F(2): G(2)})]) + M = OperationsOnlyMatrix(2, 2, lambda i, j: F(i+j)) + N = M.replace(F, G, True) + assert N == K + + +def test_rot90(): + A = Matrix([[1, 2], [3, 4]]) + assert A == A.rot90(0) == A.rot90(4) + assert A.rot90(2) == A.rot90(-2) == A.rot90(6) == Matrix(((4, 3), (2, 1))) + assert A.rot90(3) == A.rot90(-1) == A.rot90(7) == Matrix(((2, 4), (1, 3))) + assert A.rot90() == A.rot90(-7) == A.rot90(-3) == Matrix(((3, 1), (4, 2))) + +def test_simplify(): + n = Symbol('n') + f = Function('f') + + M = OperationsOnlyMatrix([[ 1/x + 1/y, (x + x*y) / x ], + [ (f(x) + y*f(x))/f(x), 2 * (1/n - cos(n * pi)/n) / pi ]]) + assert M.simplify() == Matrix([[ (x + y)/(x * y), 1 + y ], + [ 1 + y, 2*((1 - 1*cos(pi*n))/(pi*n)) ]]) + eq = (1 + x)**2 + M = OperationsOnlyMatrix([[eq]]) + assert M.simplify() == Matrix([[eq]]) + assert M.simplify(ratio=oo) == Matrix([[eq.simplify(ratio=oo)]]) + + # https://github.com/sympy/sympy/issues/19353 + m = Matrix([[30, 2], [3, 4]]) + assert (1/(m.trace())).simplify() == Rational(1, 34) + + +def test_subs(): + assert OperationsOnlyMatrix([[1, x], [x, 4]]).subs(x, 5) == Matrix([[1, 5], [5, 4]]) + assert OperationsOnlyMatrix([[x, 2], [x + y, 4]]).subs([[x, -1], [y, -2]]) == \ + Matrix([[-1, 2], [-3, 4]]) + assert OperationsOnlyMatrix([[x, 2], [x + y, 4]]).subs([(x, -1), (y, -2)]) == \ + Matrix([[-1, 2], [-3, 4]]) + assert OperationsOnlyMatrix([[x, 2], [x + y, 4]]).subs({x: -1, y: -2}) == \ + Matrix([[-1, 2], [-3, 4]]) + assert OperationsOnlyMatrix([[x*y]]).subs({x: y - 1, y: x - 1}, simultaneous=True) == \ + Matrix([[(x - 1)*(y - 1)]]) + + +def test_trace(): + M = OperationsOnlyMatrix([[1, 0, 0], + [0, 5, 0], + [0, 0, 8]]) + assert M.trace() == 14 + + +def test_xreplace(): + assert OperationsOnlyMatrix([[1, x], [x, 4]]).xreplace({x: 5}) == \ + Matrix([[1, 5], [5, 4]]) + assert OperationsOnlyMatrix([[x, 2], [x + y, 4]]).xreplace({x: -1, y: -2}) == \ + Matrix([[-1, 2], [-3, 4]]) + + +def test_permute(): + a = OperationsOnlyMatrix(3, 4, [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]) + + raises(IndexError, lambda: a.permute([[0, 5]])) + raises(ValueError, lambda: a.permute(Symbol('x'))) + b = a.permute_rows([[0, 2], [0, 1]]) + assert a.permute([[0, 2], [0, 1]]) == b == Matrix([ + [5, 6, 7, 8], + [9, 10, 11, 12], + [1, 2, 3, 4]]) + + b = a.permute_cols([[0, 2], [0, 1]]) + assert a.permute([[0, 2], [0, 1]], orientation='cols') == b ==\ + Matrix([ + [ 2, 3, 1, 4], + [ 6, 7, 5, 8], + [10, 11, 9, 12]]) + + b = a.permute_cols([[0, 2], [0, 1]], direction='backward') + assert a.permute([[0, 2], [0, 1]], orientation='cols', direction='backward') == b ==\ + Matrix([ + [ 3, 1, 2, 4], + [ 7, 5, 6, 8], + [11, 9, 10, 12]]) + + assert a.permute([1, 2, 0, 3]) == Matrix([ + [5, 6, 7, 8], + [9, 10, 11, 12], + [1, 2, 3, 4]]) + + from sympy.combinatorics import Permutation + assert a.permute(Permutation([1, 2, 0, 3])) == Matrix([ + [5, 6, 7, 8], + [9, 10, 11, 12], + [1, 2, 3, 4]]) + +def test_upper_triangular(): + + A = OperationsOnlyMatrix([ + [1, 1, 1, 1], + [1, 1, 1, 1], + [1, 1, 1, 1], + [1, 1, 1, 1] + ]) + + R = A.upper_triangular(2) + assert R == OperationsOnlyMatrix([ + [0, 0, 1, 1], + [0, 0, 0, 1], + [0, 0, 0, 0], + [0, 0, 0, 0] + ]) + + R = A.upper_triangular(-2) + assert R == OperationsOnlyMatrix([ + [1, 1, 1, 1], + [1, 1, 1, 1], + [1, 1, 1, 1], + [0, 1, 1, 1] + ]) + + R = A.upper_triangular() + assert R == OperationsOnlyMatrix([ + [1, 1, 1, 1], + [0, 1, 1, 1], + [0, 0, 1, 1], + [0, 0, 0, 1] + ]) + +def test_lower_triangular(): + A = OperationsOnlyMatrix([ + [1, 1, 1, 1], + [1, 1, 1, 1], + [1, 1, 1, 1], + [1, 1, 1, 1] + ]) + + L = A.lower_triangular() + assert L == ArithmeticOnlyMatrix([ + [1, 0, 0, 0], + [1, 1, 0, 0], + [1, 1, 1, 0], + [1, 1, 1, 1]]) + + L = A.lower_triangular(2) + assert L == ArithmeticOnlyMatrix([ + [1, 1, 1, 0], + [1, 1, 1, 1], + [1, 1, 1, 1], + [1, 1, 1, 1] + ]) + + L = A.lower_triangular(-2) + assert L == ArithmeticOnlyMatrix([ + [0, 0, 0, 0], + [0, 0, 0, 0], + [1, 0, 0, 0], + [1, 1, 0, 0] + ]) + + +# ArithmeticOnlyMatrix tests +def test_abs(): + m = ArithmeticOnlyMatrix([[1, -2], [x, y]]) + assert abs(m) == ArithmeticOnlyMatrix([[1, 2], [Abs(x), Abs(y)]]) + + +def test_add(): + m = ArithmeticOnlyMatrix([[1, 2, 3], [x, y, x], [2*y, -50, z*x]]) + assert m + m == ArithmeticOnlyMatrix([[2, 4, 6], [2*x, 2*y, 2*x], [4*y, -100, 2*z*x]]) + n = ArithmeticOnlyMatrix(1, 2, [1, 2]) + raises(ShapeError, lambda: m + n) + + +def test_multiplication(): + a = ArithmeticOnlyMatrix(( + (1, 2), + (3, 1), + (0, 6), + )) + + b = ArithmeticOnlyMatrix(( + (1, 2), + (3, 0), + )) + + raises(ShapeError, lambda: b*a) + raises(TypeError, lambda: a*{}) + + c = a*b + assert c[0, 0] == 7 + assert c[0, 1] == 2 + assert c[1, 0] == 6 + assert c[1, 1] == 6 + assert c[2, 0] == 18 + assert c[2, 1] == 0 + + try: + eval('c = a @ b') + except SyntaxError: + pass + else: + assert c[0, 0] == 7 + assert c[0, 1] == 2 + assert c[1, 0] == 6 + assert c[1, 1] == 6 + assert c[2, 0] == 18 + assert c[2, 1] == 0 + + h = a.multiply_elementwise(c) + assert h == matrix_multiply_elementwise(a, c) + assert h[0, 0] == 7 + assert h[0, 1] == 4 + assert h[1, 0] == 18 + assert h[1, 1] == 6 + assert h[2, 0] == 0 + assert h[2, 1] == 0 + raises(ShapeError, lambda: a.multiply_elementwise(b)) + + c = b * Symbol("x") + assert isinstance(c, ArithmeticOnlyMatrix) + assert c[0, 0] == x + assert c[0, 1] == 2*x + assert c[1, 0] == 3*x + assert c[1, 1] == 0 + + c2 = x * b + assert c == c2 + + c = 5 * b + assert isinstance(c, ArithmeticOnlyMatrix) + assert c[0, 0] == 5 + assert c[0, 1] == 2*5 + assert c[1, 0] == 3*5 + assert c[1, 1] == 0 + + try: + eval('c = 5 @ b') + except SyntaxError: + pass + else: + assert isinstance(c, ArithmeticOnlyMatrix) + assert c[0, 0] == 5 + assert c[0, 1] == 2*5 + assert c[1, 0] == 3*5 + assert c[1, 1] == 0 + + # https://github.com/sympy/sympy/issues/22353 + A = Matrix(ones(3, 1)) + _h = -Rational(1, 2) + B = Matrix([_h, _h, _h]) + assert A.multiply_elementwise(B) == Matrix([ + [_h], + [_h], + [_h]]) + + +def test_matmul(): + a = Matrix([[1, 2], [3, 4]]) + + assert a.__matmul__(2) == NotImplemented + + assert a.__rmatmul__(2) == NotImplemented + + #This is done this way because @ is only supported in Python 3.5+ + #To check 2@a case + try: + eval('2 @ a') + except SyntaxError: + pass + except TypeError: #TypeError is raised in case of NotImplemented is returned + pass + + #Check a@2 case + try: + eval('a @ 2') + except SyntaxError: + pass + except TypeError: #TypeError is raised in case of NotImplemented is returned + pass + + +def test_non_matmul(): + """ + Test that if explicitly specified as non-matrix, mul reverts + to scalar multiplication. + """ + class foo(Expr): + is_Matrix=False + is_MatrixLike=False + shape = (1, 1) + + A = Matrix([[1, 2], [3, 4]]) + b = foo() + assert b*A == Matrix([[b, 2*b], [3*b, 4*b]]) + assert A*b == Matrix([[b, 2*b], [3*b, 4*b]]) + + +def test_power(): + raises(NonSquareMatrixError, lambda: Matrix((1, 2))**2) + + A = ArithmeticOnlyMatrix([[2, 3], [4, 5]]) + assert (A**5)[:] == (6140, 8097, 10796, 14237) + A = ArithmeticOnlyMatrix([[2, 1, 3], [4, 2, 4], [6, 12, 1]]) + assert (A**3)[:] == (290, 262, 251, 448, 440, 368, 702, 954, 433) + assert A**0 == eye(3) + assert A**1 == A + assert (ArithmeticOnlyMatrix([[2]]) ** 100)[0, 0] == 2**100 + assert ArithmeticOnlyMatrix([[1, 2], [3, 4]])**Integer(2) == ArithmeticOnlyMatrix([[7, 10], [15, 22]]) + A = Matrix([[1,2],[4,5]]) + assert A.pow(20, method='cayley') == A.pow(20, method='multiply') + +def test_neg(): + n = ArithmeticOnlyMatrix(1, 2, [1, 2]) + assert -n == ArithmeticOnlyMatrix(1, 2, [-1, -2]) + + +def test_sub(): + n = ArithmeticOnlyMatrix(1, 2, [1, 2]) + assert n - n == ArithmeticOnlyMatrix(1, 2, [0, 0]) + + +def test_div(): + n = ArithmeticOnlyMatrix(1, 2, [1, 2]) + assert n/2 == ArithmeticOnlyMatrix(1, 2, [S.Half, S(2)/2]) + +# SpecialOnlyMatrix tests +def test_eye(): + assert list(SpecialOnlyMatrix.eye(2, 2)) == [1, 0, 0, 1] + assert list(SpecialOnlyMatrix.eye(2)) == [1, 0, 0, 1] + assert type(SpecialOnlyMatrix.eye(2)) == SpecialOnlyMatrix + assert type(SpecialOnlyMatrix.eye(2, cls=Matrix)) == Matrix + + +def test_ones(): + assert list(SpecialOnlyMatrix.ones(2, 2)) == [1, 1, 1, 1] + assert list(SpecialOnlyMatrix.ones(2)) == [1, 1, 1, 1] + assert SpecialOnlyMatrix.ones(2, 3) == Matrix([[1, 1, 1], [1, 1, 1]]) + assert type(SpecialOnlyMatrix.ones(2)) == SpecialOnlyMatrix + assert type(SpecialOnlyMatrix.ones(2, cls=Matrix)) == Matrix + + +def test_zeros(): + assert list(SpecialOnlyMatrix.zeros(2, 2)) == [0, 0, 0, 0] + assert list(SpecialOnlyMatrix.zeros(2)) == [0, 0, 0, 0] + assert SpecialOnlyMatrix.zeros(2, 3) == Matrix([[0, 0, 0], [0, 0, 0]]) + assert type(SpecialOnlyMatrix.zeros(2)) == SpecialOnlyMatrix + assert type(SpecialOnlyMatrix.zeros(2, cls=Matrix)) == Matrix + + +def test_diag_make(): + diag = SpecialOnlyMatrix.diag + a = Matrix([[1, 2], [2, 3]]) + b = Matrix([[3, x], [y, 3]]) + c = Matrix([[3, x, 3], [y, 3, z], [x, y, z]]) + assert diag(a, b, b) == Matrix([ + [1, 2, 0, 0, 0, 0], + [2, 3, 0, 0, 0, 0], + [0, 0, 3, x, 0, 0], + [0, 0, y, 3, 0, 0], + [0, 0, 0, 0, 3, x], + [0, 0, 0, 0, y, 3], + ]) + assert diag(a, b, c) == Matrix([ + [1, 2, 0, 0, 0, 0, 0], + [2, 3, 0, 0, 0, 0, 0], + [0, 0, 3, x, 0, 0, 0], + [0, 0, y, 3, 0, 0, 0], + [0, 0, 0, 0, 3, x, 3], + [0, 0, 0, 0, y, 3, z], + [0, 0, 0, 0, x, y, z], + ]) + assert diag(a, c, b) == Matrix([ + [1, 2, 0, 0, 0, 0, 0], + [2, 3, 0, 0, 0, 0, 0], + [0, 0, 3, x, 3, 0, 0], + [0, 0, y, 3, z, 0, 0], + [0, 0, x, y, z, 0, 0], + [0, 0, 0, 0, 0, 3, x], + [0, 0, 0, 0, 0, y, 3], + ]) + a = Matrix([x, y, z]) + b = Matrix([[1, 2], [3, 4]]) + c = Matrix([[5, 6]]) + # this "wandering diagonal" is what makes this + # a block diagonal where each block is independent + # of the others + assert diag(a, 7, b, c) == Matrix([ + [x, 0, 0, 0, 0, 0], + [y, 0, 0, 0, 0, 0], + [z, 0, 0, 0, 0, 0], + [0, 7, 0, 0, 0, 0], + [0, 0, 1, 2, 0, 0], + [0, 0, 3, 4, 0, 0], + [0, 0, 0, 0, 5, 6]]) + raises(ValueError, lambda: diag(a, 7, b, c, rows=5)) + assert diag(1) == Matrix([[1]]) + assert diag(1, rows=2) == Matrix([[1, 0], [0, 0]]) + assert diag(1, cols=2) == Matrix([[1, 0], [0, 0]]) + assert diag(1, rows=3, cols=2) == Matrix([[1, 0], [0, 0], [0, 0]]) + assert diag(*[2, 3]) == Matrix([ + [2, 0], + [0, 3]]) + assert diag(Matrix([2, 3])) == Matrix([ + [2], + [3]]) + assert diag([1, [2, 3], 4], unpack=False) == \ + diag([[1], [2, 3], [4]], unpack=False) == Matrix([ + [1, 0], + [2, 3], + [4, 0]]) + assert type(diag(1)) == SpecialOnlyMatrix + assert type(diag(1, cls=Matrix)) == Matrix + assert Matrix.diag([1, 2, 3]) == Matrix.diag(1, 2, 3) + assert Matrix.diag([1, 2, 3], unpack=False).shape == (3, 1) + assert Matrix.diag([[1, 2, 3]]).shape == (3, 1) + assert Matrix.diag([[1, 2, 3]], unpack=False).shape == (1, 3) + assert Matrix.diag([[[1, 2, 3]]]).shape == (1, 3) + # kerning can be used to move the starting point + assert Matrix.diag(ones(0, 2), 1, 2) == Matrix([ + [0, 0, 1, 0], + [0, 0, 0, 2]]) + assert Matrix.diag(ones(2, 0), 1, 2) == Matrix([ + [0, 0], + [0, 0], + [1, 0], + [0, 2]]) + + +def test_diagonal(): + m = Matrix(3, 3, range(9)) + d = m.diagonal() + assert d == m.diagonal(0) + assert tuple(d) == (0, 4, 8) + assert tuple(m.diagonal(1)) == (1, 5) + assert tuple(m.diagonal(-1)) == (3, 7) + assert tuple(m.diagonal(2)) == (2,) + assert type(m.diagonal()) == type(m) + s = SparseMatrix(3, 3, {(1, 1): 1}) + assert type(s.diagonal()) == type(s) + assert type(m) != type(s) + raises(ValueError, lambda: m.diagonal(3)) + raises(ValueError, lambda: m.diagonal(-3)) + raises(ValueError, lambda: m.diagonal(pi)) + M = ones(2, 3) + assert banded({i: list(M.diagonal(i)) + for i in range(1-M.rows, M.cols)}) == M + + +def test_jordan_block(): + assert SpecialOnlyMatrix.jordan_block(3, 2) == SpecialOnlyMatrix.jordan_block(3, eigenvalue=2) \ + == SpecialOnlyMatrix.jordan_block(size=3, eigenvalue=2) \ + == SpecialOnlyMatrix.jordan_block(3, 2, band='upper') \ + == SpecialOnlyMatrix.jordan_block( + size=3, eigenval=2, eigenvalue=2) \ + == Matrix([ + [2, 1, 0], + [0, 2, 1], + [0, 0, 2]]) + + assert SpecialOnlyMatrix.jordan_block(3, 2, band='lower') == Matrix([ + [2, 0, 0], + [1, 2, 0], + [0, 1, 2]]) + # missing eigenvalue + raises(ValueError, lambda: SpecialOnlyMatrix.jordan_block(2)) + # non-integral size + raises(ValueError, lambda: SpecialOnlyMatrix.jordan_block(3.5, 2)) + # size not specified + raises(ValueError, lambda: SpecialOnlyMatrix.jordan_block(eigenvalue=2)) + # inconsistent eigenvalue + raises(ValueError, + lambda: SpecialOnlyMatrix.jordan_block( + eigenvalue=2, eigenval=4)) + + # Using alias keyword + assert SpecialOnlyMatrix.jordan_block(size=3, eigenvalue=2) == \ + SpecialOnlyMatrix.jordan_block(size=3, eigenval=2) + + +def test_orthogonalize(): + m = Matrix([[1, 2], [3, 4]]) + assert m.orthogonalize(Matrix([[2], [1]])) == [Matrix([[2], [1]])] + assert m.orthogonalize(Matrix([[2], [1]]), normalize=True) == \ + [Matrix([[2*sqrt(5)/5], [sqrt(5)/5]])] + assert m.orthogonalize(Matrix([[1], [2]]), Matrix([[-1], [4]])) == \ + [Matrix([[1], [2]]), Matrix([[Rational(-12, 5)], [Rational(6, 5)]])] + assert m.orthogonalize(Matrix([[0], [0]]), Matrix([[-1], [4]])) == \ + [Matrix([[-1], [4]])] + assert m.orthogonalize(Matrix([[0], [0]])) == [] + + n = Matrix([[9, 1, 9], [3, 6, 10], [8, 5, 2]]) + vecs = [Matrix([[-5], [1]]), Matrix([[-5], [2]]), Matrix([[-5], [-2]])] + assert n.orthogonalize(*vecs) == \ + [Matrix([[-5], [1]]), Matrix([[Rational(5, 26)], [Rational(25, 26)]])] + + vecs = [Matrix([0, 0, 0]), Matrix([1, 2, 3]), Matrix([1, 4, 5])] + raises(ValueError, lambda: Matrix.orthogonalize(*vecs, rankcheck=True)) + + vecs = [Matrix([1, 2, 3]), Matrix([4, 5, 6]), Matrix([7, 8, 9])] + raises(ValueError, lambda: Matrix.orthogonalize(*vecs, rankcheck=True)) + +def test_wilkinson(): + + wminus, wplus = Matrix.wilkinson(1) + assert wminus == Matrix([ + [-1, 1, 0], + [1, 0, 1], + [0, 1, 1]]) + assert wplus == Matrix([ + [1, 1, 0], + [1, 0, 1], + [0, 1, 1]]) + + wminus, wplus = Matrix.wilkinson(3) + assert wminus == Matrix([ + [-3, 1, 0, 0, 0, 0, 0], + [1, -2, 1, 0, 0, 0, 0], + [0, 1, -1, 1, 0, 0, 0], + [0, 0, 1, 0, 1, 0, 0], + [0, 0, 0, 1, 1, 1, 0], + [0, 0, 0, 0, 1, 2, 1], + + [0, 0, 0, 0, 0, 1, 3]]) + + assert wplus == Matrix([ + [3, 1, 0, 0, 0, 0, 0], + [1, 2, 1, 0, 0, 0, 0], + [0, 1, 1, 1, 0, 0, 0], + [0, 0, 1, 0, 1, 0, 0], + [0, 0, 0, 1, 1, 1, 0], + [0, 0, 0, 0, 1, 2, 1], + [0, 0, 0, 0, 0, 1, 3]]) + + +# CalculusOnlyMatrix tests +@XFAIL +def test_diff(): + x, y = symbols('x y') + m = CalculusOnlyMatrix(2, 1, [x, y]) + # TODO: currently not working as ``_MinimalMatrix`` cannot be sympified: + assert m.diff(x) == Matrix(2, 1, [1, 0]) + + +def test_integrate(): + x, y = symbols('x y') + m = CalculusOnlyMatrix(2, 1, [x, y]) + assert m.integrate(x) == Matrix(2, 1, [x**2/2, y*x]) + + +def test_jacobian2(): + rho, phi = symbols("rho,phi") + X = CalculusOnlyMatrix(3, 1, [rho*cos(phi), rho*sin(phi), rho**2]) + Y = CalculusOnlyMatrix(2, 1, [rho, phi]) + J = Matrix([ + [cos(phi), -rho*sin(phi)], + [sin(phi), rho*cos(phi)], + [ 2*rho, 0], + ]) + assert X.jacobian(Y) == J + + m = CalculusOnlyMatrix(2, 2, [1, 2, 3, 4]) + m2 = CalculusOnlyMatrix(4, 1, [1, 2, 3, 4]) + raises(TypeError, lambda: m.jacobian(Matrix([1, 2]))) + raises(TypeError, lambda: m2.jacobian(m)) + + +def test_limit(): + x, y = symbols('x y') + m = CalculusOnlyMatrix(2, 1, [1/x, y]) + assert m.limit(x, 5) == Matrix(2, 1, [Rational(1, 5), y]) + + +def test_issue_13774(): + M = Matrix([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) + v = [1, 1, 1] + raises(TypeError, lambda: M*v) + raises(TypeError, lambda: v*M) + +def test_companion(): + x = Symbol('x') + y = Symbol('y') + raises(ValueError, lambda: Matrix.companion(1)) + raises(ValueError, lambda: Matrix.companion(Poly([1], x))) + raises(ValueError, lambda: Matrix.companion(Poly([2, 1], x))) + raises(ValueError, lambda: Matrix.companion(Poly(x*y, [x, y]))) + + c0, c1, c2 = symbols('c0:3') + assert Matrix.companion(Poly([1, c0], x)) == Matrix([-c0]) + assert Matrix.companion(Poly([1, c1, c0], x)) == \ + Matrix([[0, -c0], [1, -c1]]) + assert Matrix.companion(Poly([1, c2, c1, c0], x)) == \ + Matrix([[0, 0, -c0], [1, 0, -c1], [0, 1, -c2]]) + +def test_issue_10589(): + x, y, z = symbols("x, y z") + M1 = Matrix([x, y, z]) + M1 = M1.subs(zip([x, y, z], [1, 2, 3])) + assert M1 == Matrix([[1], [2], [3]]) + + M2 = Matrix([[x, x, x, x, x], [x, x, x, x, x], [x, x, x, x, x]]) + M2 = M2.subs(zip([x], [1])) + assert M2 == Matrix([[1, 1, 1, 1, 1], [1, 1, 1, 1, 1], [1, 1, 1, 1, 1]]) + +def test_rmul_pr19860(): + class Foo(ImmutableDenseMatrix): + _op_priority = MutableDenseMatrix._op_priority + 0.01 + + a = Matrix(2, 2, [1, 2, 3, 4]) + b = Foo(2, 2, [1, 2, 3, 4]) + + # This would throw a RecursionError: maximum recursion depth + # since b always has higher priority even after a.as_mutable() + c = a*b + + assert isinstance(c, Foo) + assert c == Matrix([[7, 10], [15, 22]]) + + +def test_issue_18956(): + A = Array([[1, 2], [3, 4]]) + B = Matrix([[1,2],[3,4]]) + raises(TypeError, lambda: B + A) + raises(TypeError, lambda: A + B) + + +def test__eq__(): + class My(object): + def __iter__(self): + yield 1 + yield 2 + return + def __getitem__(self, i): + return list(self)[i] + a = Matrix(2, 1, [1, 2]) + assert a != My() + class My_sympy(My): + def _sympy_(self): + return Matrix(self) + assert a == My_sympy() diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/test_decompositions.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/test_decompositions.py new file mode 100644 index 0000000000000000000000000000000000000000..d169ec3a8846fed786981e62d932fd860b6d4951 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/test_decompositions.py @@ -0,0 +1,474 @@ +from sympy.core.function import expand_mul +from sympy.core.numbers import I, Rational +from sympy.core.singleton import S +from sympy.core.symbol import Symbol +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.complexes import Abs +from sympy.simplify.simplify import simplify +from sympy.matrices.exceptions import NonSquareMatrixError +from sympy.matrices import Matrix, zeros, eye, SparseMatrix +from sympy.abc import x, y, z +from sympy.testing.pytest import raises, slow +from sympy.testing.matrices import allclose + + +def test_LUdecomp(): + testmat = Matrix([[0, 2, 5, 3], + [3, 3, 7, 4], + [8, 4, 0, 2], + [-2, 6, 3, 4]]) + L, U, p = testmat.LUdecomposition() + assert L.is_lower + assert U.is_upper + assert (L*U).permute_rows(p, 'backward') - testmat == zeros(4) + + testmat = Matrix([[6, -2, 7, 4], + [0, 3, 6, 7], + [1, -2, 7, 4], + [-9, 2, 6, 3]]) + L, U, p = testmat.LUdecomposition() + assert L.is_lower + assert U.is_upper + assert (L*U).permute_rows(p, 'backward') - testmat == zeros(4) + + # non-square + testmat = Matrix([[1, 2, 3], + [4, 5, 6], + [7, 8, 9], + [10, 11, 12]]) + L, U, p = testmat.LUdecomposition(rankcheck=False) + assert L.is_lower + assert U.is_upper + assert (L*U).permute_rows(p, 'backward') - testmat == zeros(4, 3) + + # square and singular + testmat = Matrix([[1, 2, 3], + [2, 4, 6], + [4, 5, 6]]) + L, U, p = testmat.LUdecomposition(rankcheck=False) + assert L.is_lower + assert U.is_upper + assert (L*U).permute_rows(p, 'backward') - testmat == zeros(3) + + M = Matrix(((1, x, 1), (2, y, 0), (y, 0, z))) + L, U, p = M.LUdecomposition() + assert L.is_lower + assert U.is_upper + assert (L*U).permute_rows(p, 'backward') - M == zeros(3) + + mL = Matrix(( + (1, 0, 0), + (2, 3, 0), + )) + assert mL.is_lower is True + assert mL.is_upper is False + mU = Matrix(( + (1, 2, 3), + (0, 4, 5), + )) + assert mU.is_lower is False + assert mU.is_upper is True + + # test FF LUdecomp + M = Matrix([[1, 3, 3], + [3, 2, 6], + [3, 2, 2]]) + P, L, Dee, U = M.LUdecompositionFF() + assert P*M == L*Dee.inv()*U + + M = Matrix([[1, 2, 3, 4], + [3, -1, 2, 3], + [3, 1, 3, -2], + [6, -1, 0, 2]]) + P, L, Dee, U = M.LUdecompositionFF() + assert P*M == L*Dee.inv()*U + + M = Matrix([[0, 0, 1], + [2, 3, 0], + [3, 1, 4]]) + P, L, Dee, U = M.LUdecompositionFF() + assert P*M == L*Dee.inv()*U + + # issue 15794 + M = Matrix( + [[1, 2, 3], + [4, 5, 6], + [7, 8, 9]] + ) + raises(ValueError, lambda : M.LUdecomposition_Simple(rankcheck=True)) + +def test_singular_value_decompositionD(): + A = Matrix([[1, 2], [2, 1]]) + U, S, V = A.singular_value_decomposition() + assert U * S * V.T == A + assert U.T * U == eye(U.cols) + assert V.T * V == eye(V.cols) + + B = Matrix([[1, 2]]) + U, S, V = B.singular_value_decomposition() + + assert U * S * V.T == B + assert U.T * U == eye(U.cols) + assert V.T * V == eye(V.cols) + + C = Matrix([ + [1, 0, 0, 0, 2], + [0, 0, 3, 0, 0], + [0, 0, 0, 0, 0], + [0, 2, 0, 0, 0], + ]) + + U, S, V = C.singular_value_decomposition() + + assert U * S * V.T == C + assert U.T * U == eye(U.cols) + assert V.T * V == eye(V.cols) + + D = Matrix([[Rational(1, 3), sqrt(2)], [0, Rational(1, 4)]]) + U, S, V = D.singular_value_decomposition() + assert simplify(U.T * U) == eye(U.cols) + assert simplify(V.T * V) == eye(V.cols) + assert simplify(U * S * V.T) == D + + +def test_QR(): + A = Matrix([[1, 2], [2, 3]]) + Q, S = A.QRdecomposition() + R = Rational + assert Q == Matrix([ + [ 5**R(-1, 2), (R(2)/5)*(R(1)/5)**R(-1, 2)], + [2*5**R(-1, 2), (-R(1)/5)*(R(1)/5)**R(-1, 2)]]) + assert S == Matrix([[5**R(1, 2), 8*5**R(-1, 2)], [0, (R(1)/5)**R(1, 2)]]) + assert Q*S == A + assert Q.T * Q == eye(2) + + A = Matrix([[1, 1, 1], [1, 1, 3], [2, 3, 4]]) + Q, R = A.QRdecomposition() + assert Q.T * Q == eye(Q.cols) + assert R.is_upper + assert A == Q*R + + A = Matrix([[12, 0, -51], [6, 0, 167], [-4, 0, 24]]) + Q, R = A.QRdecomposition() + assert Q.T * Q == eye(Q.cols) + assert R.is_upper + assert A == Q*R + + x = Symbol('x') + A = Matrix([x]) + Q, R = A.QRdecomposition() + assert Q == Matrix([x / Abs(x)]) + assert R == Matrix([Abs(x)]) + + A = Matrix([[x, 0], [0, x]]) + Q, R = A.QRdecomposition() + assert Q == x / Abs(x) * Matrix([[1, 0], [0, 1]]) + assert R == Abs(x) * Matrix([[1, 0], [0, 1]]) + + +def test_QR_non_square(): + # Narrow (cols < rows) matrices + A = Matrix([[9, 0, 26], [12, 0, -7], [0, 4, 4], [0, -3, -3]]) + Q, R = A.QRdecomposition() + assert Q.T * Q == eye(Q.cols) + assert R.is_upper + assert A == Q*R + + A = Matrix([[1, -1, 4], [1, 4, -2], [1, 4, 2], [1, -1, 0]]) + Q, R = A.QRdecomposition() + assert Q.T * Q == eye(Q.cols) + assert R.is_upper + assert A == Q*R + + A = Matrix(2, 1, [1, 2]) + Q, R = A.QRdecomposition() + assert Q.T * Q == eye(Q.cols) + assert R.is_upper + assert A == Q*R + + # Wide (cols > rows) matrices + A = Matrix([[1, 2, 3], [4, 5, 6]]) + Q, R = A.QRdecomposition() + assert Q.T * Q == eye(Q.cols) + assert R.is_upper + assert A == Q*R + + A = Matrix([[1, 2, 3, 4], [1, 4, 9, 16], [1, 8, 27, 64]]) + Q, R = A.QRdecomposition() + assert Q.T * Q == eye(Q.cols) + assert R.is_upper + assert A == Q*R + + A = Matrix(1, 2, [1, 2]) + Q, R = A.QRdecomposition() + assert Q.T * Q == eye(Q.cols) + assert R.is_upper + assert A == Q*R + +def test_QR_trivial(): + # Rank deficient matrices + A = Matrix([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) + Q, R = A.QRdecomposition() + assert Q.T * Q == eye(Q.cols) + assert R.is_upper + assert A == Q*R + + A = Matrix([[1, 1, 1], [2, 2, 2], [3, 3, 3], [4, 4, 4]]) + Q, R = A.QRdecomposition() + assert Q.T * Q == eye(Q.cols) + assert R.is_upper + assert A == Q*R + + A = Matrix([[1, 1, 1], [2, 2, 2], [3, 3, 3], [4, 4, 4]]).T + Q, R = A.QRdecomposition() + assert Q.T * Q == eye(Q.cols) + assert R.is_upper + assert A == Q*R + + # Zero rank matrices + A = Matrix([[0, 0, 0]]) + Q, R = A.QRdecomposition() + assert Q.T * Q == eye(Q.cols) + assert R.is_upper + assert A == Q*R + + A = Matrix([[0, 0, 0]]).T + Q, R = A.QRdecomposition() + assert Q.T * Q == eye(Q.cols) + assert R.is_upper + assert A == Q*R + + A = Matrix([[0, 0, 0], [0, 0, 0]]) + Q, R = A.QRdecomposition() + assert Q.T * Q == eye(Q.cols) + assert R.is_upper + assert A == Q*R + + A = Matrix([[0, 0, 0], [0, 0, 0]]).T + Q, R = A.QRdecomposition() + assert Q.T * Q == eye(Q.cols) + assert R.is_upper + assert A == Q*R + + # Rank deficient matrices with zero norm from beginning columns + A = Matrix([[0, 0, 0], [1, 2, 3]]).T + Q, R = A.QRdecomposition() + assert Q.T * Q == eye(Q.cols) + assert R.is_upper + assert A == Q*R + + A = Matrix([[0, 0, 0, 0], [1, 2, 3, 4], [0, 0, 0, 0]]).T + Q, R = A.QRdecomposition() + assert Q.T * Q == eye(Q.cols) + assert R.is_upper + assert A == Q*R + + A = Matrix([[0, 0, 0, 0], [1, 2, 3, 4], [0, 0, 0, 0], [2, 4, 6, 8]]).T + Q, R = A.QRdecomposition() + assert Q.T * Q == eye(Q.cols) + assert R.is_upper + assert A == Q*R + + A = Matrix([[0, 0, 0], [0, 0, 0], [0, 0, 0], [1, 2, 3]]).T + Q, R = A.QRdecomposition() + assert Q.T * Q == eye(Q.cols) + assert R.is_upper + assert A == Q*R + + +def test_QR_float(): + A = Matrix([[1, 1], [1, 1.01]]) + Q, R = A.QRdecomposition() + assert allclose(Q * R, A) + assert allclose(Q * Q.T, Matrix.eye(2)) + assert allclose(Q.T * Q, Matrix.eye(2)) + + A = Matrix([[1, 1], [1, 1.001]]) + Q, R = A.QRdecomposition() + assert allclose(Q * R, A) + assert allclose(Q * Q.T, Matrix.eye(2)) + assert allclose(Q.T * Q, Matrix.eye(2)) + + +def test_LUdecomposition_Simple_iszerofunc(): + # Test if callable passed to matrices.LUdecomposition_Simple() as iszerofunc keyword argument is used inside + # matrices.LUdecomposition_Simple() + magic_string = "I got passed in!" + def goofyiszero(value): + raise ValueError(magic_string) + + try: + lu, p = Matrix([[1, 0], [0, 1]]).LUdecomposition_Simple(iszerofunc=goofyiszero) + except ValueError as err: + assert magic_string == err.args[0] + return + + assert False + +def test_LUdecomposition_iszerofunc(): + # Test if callable passed to matrices.LUdecomposition() as iszerofunc keyword argument is used inside + # matrices.LUdecomposition_Simple() + magic_string = "I got passed in!" + def goofyiszero(value): + raise ValueError(magic_string) + + try: + l, u, p = Matrix([[1, 0], [0, 1]]).LUdecomposition(iszerofunc=goofyiszero) + except ValueError as err: + assert magic_string == err.args[0] + return + + assert False + +def test_LDLdecomposition(): + raises(NonSquareMatrixError, lambda: Matrix((1, 2)).LDLdecomposition()) + raises(ValueError, lambda: Matrix(((1, 2), (3, 4))).LDLdecomposition()) + raises(ValueError, lambda: Matrix(((5 + I, 0), (0, 1))).LDLdecomposition()) + raises(ValueError, lambda: Matrix(((1, 5), (5, 1))).LDLdecomposition()) + raises(ValueError, lambda: Matrix(((1, 2), (3, 4))).LDLdecomposition(hermitian=False)) + A = Matrix(((1, 5), (5, 1))) + L, D = A.LDLdecomposition(hermitian=False) + assert L * D * L.T == A + A = Matrix(((25, 15, -5), (15, 18, 0), (-5, 0, 11))) + L, D = A.LDLdecomposition() + assert L * D * L.T == A + assert L.is_lower + assert L == Matrix([[1, 0, 0], [ Rational(3, 5), 1, 0], [Rational(-1, 5), Rational(1, 3), 1]]) + assert D.is_diagonal() + assert D == Matrix([[25, 0, 0], [0, 9, 0], [0, 0, 9]]) + A = Matrix(((4, -2*I, 2 + 2*I), (2*I, 2, -1 + I), (2 - 2*I, -1 - I, 11))) + L, D = A.LDLdecomposition() + assert expand_mul(L * D * L.H) == A + assert L.expand() == Matrix([[1, 0, 0], [I/2, 1, 0], [S.Half - I/2, 0, 1]]) + assert D.expand() == Matrix(((4, 0, 0), (0, 1, 0), (0, 0, 9))) + + raises(NonSquareMatrixError, lambda: SparseMatrix((1, 2)).LDLdecomposition()) + raises(ValueError, lambda: SparseMatrix(((1, 2), (3, 4))).LDLdecomposition()) + raises(ValueError, lambda: SparseMatrix(((5 + I, 0), (0, 1))).LDLdecomposition()) + raises(ValueError, lambda: SparseMatrix(((1, 5), (5, 1))).LDLdecomposition()) + raises(ValueError, lambda: SparseMatrix(((1, 2), (3, 4))).LDLdecomposition(hermitian=False)) + A = SparseMatrix(((1, 5), (5, 1))) + L, D = A.LDLdecomposition(hermitian=False) + assert L * D * L.T == A + A = SparseMatrix(((25, 15, -5), (15, 18, 0), (-5, 0, 11))) + L, D = A.LDLdecomposition() + assert L * D * L.T == A + assert L.is_lower + assert L == Matrix([[1, 0, 0], [ Rational(3, 5), 1, 0], [Rational(-1, 5), Rational(1, 3), 1]]) + assert D.is_diagonal() + assert D == Matrix([[25, 0, 0], [0, 9, 0], [0, 0, 9]]) + A = SparseMatrix(((4, -2*I, 2 + 2*I), (2*I, 2, -1 + I), (2 - 2*I, -1 - I, 11))) + L, D = A.LDLdecomposition() + assert expand_mul(L * D * L.H) == A + assert L == Matrix(((1, 0, 0), (I/2, 1, 0), (S.Half - I/2, 0, 1))) + assert D == Matrix(((4, 0, 0), (0, 1, 0), (0, 0, 9))) + +def test_pinv_succeeds_with_rank_decomposition_method(): + # Test rank decomposition method of pseudoinverse succeeding + As = [Matrix([ + [61, 89, 55, 20, 71, 0], + [62, 96, 85, 85, 16, 0], + [69, 56, 17, 4, 54, 0], + [10, 54, 91, 41, 71, 0], + [ 7, 30, 10, 48, 90, 0], + [0,0,0,0,0,0]])] + for A in As: + A_pinv = A.pinv(method="RD") + AAp = A * A_pinv + ApA = A_pinv * A + assert simplify(AAp * A) == A + assert simplify(ApA * A_pinv) == A_pinv + assert AAp.H == AAp + assert ApA.H == ApA + +def test_rank_decomposition(): + a = Matrix(0, 0, []) + c, f = a.rank_decomposition() + assert f.is_echelon + assert c.cols == f.rows == a.rank() + assert c * f == a + + a = Matrix(1, 1, [5]) + c, f = a.rank_decomposition() + assert f.is_echelon + assert c.cols == f.rows == a.rank() + assert c * f == a + + a = Matrix(3, 3, [1, 2, 3, 1, 2, 3, 1, 2, 3]) + c, f = a.rank_decomposition() + assert f.is_echelon + assert c.cols == f.rows == a.rank() + assert c * f == a + + a = Matrix([ + [0, 0, 1, 2, 2, -5, 3], + [-1, 5, 2, 2, 1, -7, 5], + [0, 0, -2, -3, -3, 8, -5], + [-1, 5, 0, -1, -2, 1, 0]]) + c, f = a.rank_decomposition() + assert f.is_echelon + assert c.cols == f.rows == a.rank() + assert c * f == a + + +@slow +def test_upper_hessenberg_decomposition(): + A = Matrix([ + [1, 0, sqrt(3)], + [sqrt(2), Rational(1, 2), 2], + [1, Rational(1, 4), 3], + ]) + H, P = A.upper_hessenberg_decomposition() + assert simplify(P * P.H) == eye(P.cols) + assert simplify(P.H * P) == eye(P.cols) + assert H.is_upper_hessenberg + assert (simplify(P * H * P.H)) == A + + + B = Matrix([ + [1, 2, 10], + [8, 2, 5], + [3, 12, 34], + ]) + H, P = B.upper_hessenberg_decomposition() + assert simplify(P * P.H) == eye(P.cols) + assert simplify(P.H * P) == eye(P.cols) + assert H.is_upper_hessenberg + assert simplify(P * H * P.H) == B + + C = Matrix([ + [1, sqrt(2), 2, 3], + [0, 5, 3, 4], + [1, 1, 4, sqrt(5)], + [0, 2, 2, 3] + ]) + + H, P = C.upper_hessenberg_decomposition() + assert simplify(P * P.H) == eye(P.cols) + assert simplify(P.H * P) == eye(P.cols) + assert H.is_upper_hessenberg + assert simplify(P * H * P.H) == C + + D = Matrix([ + [1, 2, 3], + [-3, 5, 6], + [4, -8, 9], + ]) + H, P = D.upper_hessenberg_decomposition() + assert simplify(P * P.H) == eye(P.cols) + assert simplify(P.H * P) == eye(P.cols) + assert H.is_upper_hessenberg + assert simplify(P * H * P.H) == D + + E = Matrix([ + [1, 0, 0, 0], + [0, 1, 0, 0], + [1, 1, 0, 1], + [1, 1, 1, 0] + ]) + + H, P = E.upper_hessenberg_decomposition() + assert simplify(P * P.H) == eye(P.cols) + assert simplify(P.H * P) == eye(P.cols) + assert H.is_upper_hessenberg + assert simplify(P * H * P.H) == E diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/test_determinant.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/test_determinant.py new file mode 100644 index 0000000000000000000000000000000000000000..82b42ccf67efa4757bf270782bdf1d65e0efa306 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/test_determinant.py @@ -0,0 +1,280 @@ +import random +import pytest +from sympy.core.numbers import I +from sympy.core.numbers import Rational +from sympy.core.symbol import (Symbol, symbols) +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.polys.polytools import Poly +from sympy.matrices import Matrix, eye, ones +from sympy.abc import x, y, z +from sympy.testing.pytest import raises +from sympy.matrices.exceptions import NonSquareMatrixError +from sympy.functions.combinatorial.factorials import factorial, subfactorial + + +@pytest.mark.parametrize("method", [ + # Evaluating these directly because they are never reached via M.det() + Matrix._eval_det_bareiss, Matrix._eval_det_berkowitz, + Matrix._eval_det_bird, Matrix._eval_det_laplace, Matrix._eval_det_lu +]) +@pytest.mark.parametrize("M, sol", [ + (Matrix(), 1), + (Matrix([[0]]), 0), + (Matrix([[5]]), 5), +]) +def test_eval_determinant(method, M, sol): + assert method(M) == sol + + +@pytest.mark.parametrize("method", [ + "domain-ge", "bareiss", "berkowitz", "bird", "laplace", "lu"]) +@pytest.mark.parametrize("M, sol", [ + (Matrix(( (-3, 2), + ( 8, -5) )), -1), + (Matrix(( (x, 1), + (y, 2*y) )), 2*x*y - y), + (Matrix(( (1, 1, 1), + (1, 2, 3), + (1, 3, 6) )), 1), + (Matrix(( ( 3, -2, 0, 5), + (-2, 1, -2, 2), + ( 0, -2, 5, 0), + ( 5, 0, 3, 4) )), -289), + (Matrix(( ( 1, 2, 3, 4), + ( 5, 6, 7, 8), + ( 9, 10, 11, 12), + (13, 14, 15, 16) )), 0), + (Matrix(( (3, 2, 0, 0, 0), + (0, 3, 2, 0, 0), + (0, 0, 3, 2, 0), + (0, 0, 0, 3, 2), + (2, 0, 0, 0, 3) )), 275), + (Matrix(( ( 3, 0, 0, 0), + (-2, 1, 0, 0), + ( 0, -2, 5, 0), + ( 5, 0, 3, 4) )), 60), + (Matrix(( ( 1, 0, 0, 0), + ( 5, 0, 0, 0), + ( 9, 10, 11, 0), + (13, 14, 15, 16) )), 0), + (Matrix(( (3, 2, 0, 0, 0), + (0, 3, 2, 0, 0), + (0, 0, 3, 2, 0), + (0, 0, 0, 3, 2), + (0, 0, 0, 0, 3) )), 243), + (Matrix(( (1, 0, 1, 2, 12), + (2, 0, 1, 1, 4), + (2, 1, 1, -1, 3), + (3, 2, -1, 1, 8), + (1, 1, 1, 0, 6) )), -55), + (Matrix(( (-5, 2, 3, 4, 5), + ( 1, -4, 3, 4, 5), + ( 1, 2, -3, 4, 5), + ( 1, 2, 3, -2, 5), + ( 1, 2, 3, 4, -1) )), 11664), + (Matrix(( ( 2, 7, -1, 3, 2), + ( 0, 0, 1, 0, 1), + (-2, 0, 7, 0, 2), + (-3, -2, 4, 5, 3), + ( 1, 0, 0, 0, 1) )), 123), + (Matrix(( (x, y, z), + (1, 0, 0), + (y, z, x) )), z**2 - x*y), +]) +def test_determinant(method, M, sol): + assert M.det(method=method) == sol + + +def test_issue_13835(): + a = symbols('a') + M = lambda n: Matrix([[i + a*j for i in range(n)] + for j in range(n)]) + assert M(5).det() == 0 + assert M(6).det() == 0 + assert M(7).det() == 0 + + +def test_issue_14517(): + M = Matrix([ + [ 0, 10*I, 10*I, 0], + [10*I, 0, 0, 10*I], + [10*I, 0, 5 + 2*I, 10*I], + [ 0, 10*I, 10*I, 5 + 2*I]]) + ev = M.eigenvals() + # test one random eigenvalue, the computation is a little slow + test_ev = random.choice(list(ev.keys())) + assert (M - test_ev*eye(4)).det() == 0 + + +@pytest.mark.parametrize("method", [ + "bareis", "det_lu", "det_LU", "Bareis", "BAREISS", "BERKOWITZ", "LU"]) +@pytest.mark.parametrize("M, sol", [ + (Matrix(( ( 3, -2, 0, 5), + (-2, 1, -2, 2), + ( 0, -2, 5, 0), + ( 5, 0, 3, 4) )), -289), + (Matrix(( (-5, 2, 3, 4, 5), + ( 1, -4, 3, 4, 5), + ( 1, 2, -3, 4, 5), + ( 1, 2, 3, -2, 5), + ( 1, 2, 3, 4, -1) )), 11664), +]) +def test_legacy_det(method, M, sol): + # Minimal support for legacy keys for 'method' in det() + # Partially copied from test_determinant() + assert M.det(method=method) == sol + + +def eye_Determinant(n): + return Matrix(n, n, lambda i, j: int(i == j)) + +def zeros_Determinant(n): + return Matrix(n, n, lambda i, j: 0) + +def test_det(): + a = Matrix(2, 3, [1, 2, 3, 4, 5, 6]) + raises(NonSquareMatrixError, lambda: a.det()) + + z = zeros_Determinant(2) + ey = eye_Determinant(2) + assert z.det() == 0 + assert ey.det() == 1 + + x = Symbol('x') + a = Matrix(0, 0, []) + b = Matrix(1, 1, [5]) + c = Matrix(2, 2, [1, 2, 3, 4]) + d = Matrix(3, 3, [1, 2, 3, 4, 5, 6, 7, 8, 8]) + e = Matrix(4, 4, + [x, 1, 2, 3, 4, 5, 6, 7, 2, 9, 10, 11, 12, 13, 14, 14]) + from sympy.abc import i, j, k, l, m, n + f = Matrix(3, 3, [i, l, m, 0, j, n, 0, 0, k]) + g = Matrix(3, 3, [i, 0, 0, l, j, 0, m, n, k]) + h = Matrix(3, 3, [x**3, 0, 0, i, x**-1, 0, j, k, x**-2]) + # the method keyword for `det` doesn't kick in until 4x4 matrices, + # so there is no need to test all methods on smaller ones + + assert a.det() == 1 + assert b.det() == 5 + assert c.det() == -2 + assert d.det() == 3 + assert e.det() == 4*x - 24 + assert e.det(method="domain-ge") == 4*x - 24 + assert e.det(method='bareiss') == 4*x - 24 + assert e.det(method='berkowitz') == 4*x - 24 + assert f.det() == i*j*k + assert g.det() == i*j*k + assert h.det() == 1 + raises(ValueError, lambda: e.det(iszerofunc="test")) + +def test_permanent(): + M = Matrix([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) + assert M.per() == 450 + for i in range(1, 12): + assert ones(i, i).per() == ones(i, i).T.per() == factorial(i) + assert (ones(i, i)-eye(i)).per() == (ones(i, i)-eye(i)).T.per() == subfactorial(i) + + a1, a2, a3, a4, a5 = symbols('a_1 a_2 a_3 a_4 a_5') + M = Matrix([a1, a2, a3, a4, a5]) + assert M.per() == M.T.per() == a1 + a2 + a3 + a4 + a5 + +def test_adjugate(): + x = Symbol('x') + e = Matrix(4, 4, + [x, 1, 2, 3, 4, 5, 6, 7, 2, 9, 10, 11, 12, 13, 14, 14]) + + adj = Matrix([ + [ 4, -8, 4, 0], + [ 76, -14*x - 68, 14*x - 8, -4*x + 24], + [-122, 17*x + 142, -21*x + 4, 8*x - 48], + [ 48, -4*x - 72, 8*x, -4*x + 24]]) + assert e.adjugate() == adj + assert e.adjugate(method='bareiss') == adj + assert e.adjugate(method='berkowitz') == adj + assert e.adjugate(method='bird') == adj + assert e.adjugate(method='laplace') == adj + + a = Matrix(2, 3, [1, 2, 3, 4, 5, 6]) + raises(NonSquareMatrixError, lambda: a.adjugate()) + +def test_util(): + R = Rational + + v1 = Matrix(1, 3, [1, 2, 3]) + v2 = Matrix(1, 3, [3, 4, 5]) + assert v1.norm() == sqrt(14) + assert v1.project(v2) == Matrix(1, 3, [R(39)/25, R(52)/25, R(13)/5]) + assert Matrix.zeros(1, 2) == Matrix(1, 2, [0, 0]) + assert ones(1, 2) == Matrix(1, 2, [1, 1]) + assert v1.copy() == v1 + # cofactor + assert eye(3) == eye(3).cofactor_matrix() + test = Matrix([[1, 3, 2], [2, 6, 3], [2, 3, 6]]) + assert test.cofactor_matrix() == \ + Matrix([[27, -6, -6], [-12, 2, 3], [-3, 1, 0]]) + test = Matrix([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) + assert test.cofactor_matrix() == \ + Matrix([[-3, 6, -3], [6, -12, 6], [-3, 6, -3]]) + +def test_cofactor_and_minors(): + x = Symbol('x') + e = Matrix(4, 4, + [x, 1, 2, 3, 4, 5, 6, 7, 2, 9, 10, 11, 12, 13, 14, 14]) + + m = Matrix([ + [ x, 1, 3], + [ 2, 9, 11], + [12, 13, 14]]) + cm = Matrix([ + [ 4, 76, -122, 48], + [-8, -14*x - 68, 17*x + 142, -4*x - 72], + [ 4, 14*x - 8, -21*x + 4, 8*x], + [ 0, -4*x + 24, 8*x - 48, -4*x + 24]]) + sub = Matrix([ + [x, 1, 2], + [4, 5, 6], + [2, 9, 10]]) + + assert e.minor_submatrix(1, 2) == m + assert e.minor_submatrix(-1, -1) == sub + assert e.minor(1, 2) == -17*x - 142 + assert e.cofactor(1, 2) == 17*x + 142 + assert e.cofactor_matrix() == cm + assert e.cofactor_matrix(method="bareiss") == cm + assert e.cofactor_matrix(method="berkowitz") == cm + assert e.cofactor_matrix(method="bird") == cm + assert e.cofactor_matrix(method="laplace") == cm + + raises(ValueError, lambda: e.cofactor(4, 5)) + raises(ValueError, lambda: e.minor(4, 5)) + raises(ValueError, lambda: e.minor_submatrix(4, 5)) + + a = Matrix(2, 3, [1, 2, 3, 4, 5, 6]) + assert a.minor_submatrix(0, 0) == Matrix([[5, 6]]) + + raises(ValueError, lambda: + Matrix(0, 0, []).minor_submatrix(0, 0)) + raises(NonSquareMatrixError, lambda: a.cofactor(0, 0)) + raises(NonSquareMatrixError, lambda: a.minor(0, 0)) + raises(NonSquareMatrixError, lambda: a.cofactor_matrix()) + +def test_charpoly(): + x, y = Symbol('x'), Symbol('y') + z, t = Symbol('z'), Symbol('t') + + from sympy.abc import a,b,c + + m = Matrix(3, 3, [1, 2, 3, 4, 5, 6, 7, 8, 9]) + + assert eye_Determinant(3).charpoly(x) == Poly((x - 1)**3, x) + assert eye_Determinant(3).charpoly(y) == Poly((y - 1)**3, y) + assert m.charpoly() == Poly(x**3 - 15*x**2 - 18*x, x) + raises(NonSquareMatrixError, lambda: Matrix([[1], [2]]).charpoly()) + n = Matrix(4, 4, [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) + assert n.charpoly() == Poly(x**4, x) + + n = Matrix(4, 4, [45, 0, 0, 0, 0, 23, 0, 0, 0, 0, 87, 0, 0, 0, 0, 12]) + assert n.charpoly() == Poly(x**4 - 167*x**3 + 8811*x**2 - 173457*x + 1080540, x) + + n = Matrix(3, 3, [x, 0, 0, a, y, 0, b, c, z]) + assert n.charpoly() == Poly(t**3 - (x+y+z)*t**2 + t*(x*y+y*z+x*z) - x*y*z, t) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/test_domains.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/test_domains.py new file mode 100644 index 0000000000000000000000000000000000000000..26a54b8879a5c65f3a01b4886d223c08309e733d --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/test_domains.py @@ -0,0 +1,113 @@ +# Test Matrix/DomainMatrix interaction. + + +from sympy import GF, ZZ, QQ, EXRAW +from sympy.polys.matrices import DomainMatrix, DM + +from sympy import ( + Matrix, + MutableMatrix, + ImmutableMatrix, + SparseMatrix, + MutableDenseMatrix, + ImmutableDenseMatrix, + MutableSparseMatrix, + ImmutableSparseMatrix, +) +from sympy import symbols, S, sqrt + +from sympy.testing.pytest import raises + + +x, y = symbols('x y') + + +MATRIX_TYPES = ( + Matrix, + MutableMatrix, + ImmutableMatrix, + SparseMatrix, + MutableDenseMatrix, + ImmutableDenseMatrix, + MutableSparseMatrix, + ImmutableSparseMatrix, +) +IMMUTABLE = ( + ImmutableMatrix, + ImmutableDenseMatrix, + ImmutableSparseMatrix, +) + + +def DMs(items, domain): + return DM(items, domain).to_sparse() + + +def test_Matrix_rep_domain(): + + for Mat in MATRIX_TYPES: + + M = Mat([[1, 2], [3, 4]]) + assert M._rep == DMs([[1, 2], [3, 4]], ZZ) + assert (M / 2)._rep == DMs([[(1,2), 1], [(3,2), 2]], QQ) + if not isinstance(M, IMMUTABLE): + M[0, 0] = x + assert M._rep == DMs([[x, 2], [3, 4]], EXRAW) + + M = Mat([[S(1)/2, 2], [3, 4]]) + assert M._rep == DMs([[(1,2), 2], [3, 4]], QQ) + if not isinstance(M, IMMUTABLE): + M[0, 0] = x + assert M._rep == DMs([[x, 2], [3, 4]], EXRAW) + + dM = DMs([[1, 2], [3, 4]], ZZ) + assert Mat._fromrep(dM)._rep == dM + + # XXX: This is not intended. Perhaps it should be coerced to EXRAW? + # The private _fromrep method is never called like this but perhaps it + # should be guarded. + # + # It is not clear how to integrate domains other than ZZ, QQ and EXRAW with + # the rest of Matrix or if the public type for this needs to be something + # different from Matrix somehow. + K = QQ.algebraic_field(sqrt(2)) + dM = DM([[1, 2], [3, 4]], K) + assert Mat._fromrep(dM)._rep.domain == K + + +def test_Matrix_to_DM(): + + M = Matrix([[1, 2], [3, 4]]) + assert M.to_DM() == DMs([[1, 2], [3, 4]], ZZ) + assert M.to_DM() is not M._rep + assert M.to_DM(field=True) == DMs([[1, 2], [3, 4]], QQ) + assert M.to_DM(domain=QQ) == DMs([[1, 2], [3, 4]], QQ) + assert M.to_DM(domain=QQ[x]) == DMs([[1, 2], [3, 4]], QQ[x]) + assert M.to_DM(domain=GF(3)) == DMs([[1, 2], [0, 1]], GF(3)) + + M = Matrix([[1, 2], [3, 4]]) + M[0, 0] = x + assert M._rep.domain == EXRAW + M[0, 0] = 1 + assert M.to_DM() == DMs([[1, 2], [3, 4]], ZZ) + + M = Matrix([[S(1)/2, 2], [3, 4]]) + assert M.to_DM() == DMs([[QQ(1,2), 2], [3, 4]], QQ) + + M = Matrix([[x, 2], [3, 4]]) + assert M.to_DM() == DMs([[x, 2], [3, 4]], ZZ[x]) + assert M.to_DM(field=True) == DMs([[x, 2], [3, 4]], ZZ.frac_field(x)) + + M = Matrix([[1/x, 2], [3, 4]]) + assert M.to_DM() == DMs([[1/x, 2], [3, 4]], ZZ.frac_field(x)) + + M = Matrix([[1, sqrt(2)], [3, 4]]) + K = QQ.algebraic_field(sqrt(2)) + sqrt2 = K.from_sympy(sqrt(2)) # XXX: Maybe K(sqrt(2)) should work + M_K = DomainMatrix([[K(1), sqrt2], [K(3), K(4)]], (2, 2), K) + assert M.to_DM() == DMs([[1, sqrt(2)], [3, 4]], EXRAW) + assert M.to_DM(extension=True) == M_K.to_sparse() + + # Options cannot be used with the domain parameter + M = Matrix([[1, 2], [3, 4]]) + raises(TypeError, lambda: M.to_DM(domain=QQ, field=True)) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/test_eigen.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/test_eigen.py new file mode 100644 index 0000000000000000000000000000000000000000..fcf96325519879e0683d29e2ddc32db7bf83baa4 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/test_eigen.py @@ -0,0 +1,712 @@ +from sympy.core.evalf import N +from sympy.core.numbers import (Float, I, Rational) +from sympy.core.symbol import (Symbol, symbols) +from sympy.functions.elementary.complexes import Abs +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.trigonometric import (cos, sin) +from sympy.matrices import eye, Matrix +from sympy.core.singleton import S +from sympy.testing.pytest import raises, XFAIL +from sympy.matrices.exceptions import NonSquareMatrixError, MatrixError +from sympy.matrices.expressions.fourier import DFT +from sympy.simplify.simplify import simplify +from sympy.matrices.immutable import ImmutableMatrix +from sympy.testing.pytest import slow +from sympy.testing.matrices import allclose + + +def test_eigen(): + R = Rational + M = Matrix.eye(3) + assert M.eigenvals(multiple=False) == {S.One: 3} + assert M.eigenvals(multiple=True) == [1, 1, 1] + + assert M.eigenvects() == ( + [(1, 3, [Matrix([1, 0, 0]), + Matrix([0, 1, 0]), + Matrix([0, 0, 1])])]) + + assert M.left_eigenvects() == ( + [(1, 3, [Matrix([[1, 0, 0]]), + Matrix([[0, 1, 0]]), + Matrix([[0, 0, 1]])])]) + + M = Matrix([[0, 1, 1], + [1, 0, 0], + [1, 1, 1]]) + + assert M.eigenvals() == {2*S.One: 1, -S.One: 1, S.Zero: 1} + + assert M.eigenvects() == ( + [ + (-1, 1, [Matrix([-1, 1, 0])]), + ( 0, 1, [Matrix([0, -1, 1])]), + ( 2, 1, [Matrix([R(2, 3), R(1, 3), 1])]) + ]) + + assert M.left_eigenvects() == ( + [ + (-1, 1, [Matrix([[-2, 1, 1]])]), + (0, 1, [Matrix([[-1, -1, 1]])]), + (2, 1, [Matrix([[1, 1, 1]])]) + ]) + + a = Symbol('a') + M = Matrix([[a, 0], + [0, 1]]) + + assert M.eigenvals() == {a: 1, S.One: 1} + + M = Matrix([[1, -1], + [1, 3]]) + assert M.eigenvects() == ([(2, 2, [Matrix(2, 1, [-1, 1])])]) + assert M.left_eigenvects() == ([(2, 2, [Matrix([[1, 1]])])]) + + M = Matrix([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) + a = R(15, 2) + b = 3*33**R(1, 2) + c = R(13, 2) + d = (R(33, 8) + 3*b/8) + e = (R(33, 8) - 3*b/8) + + def NS(e, n): + return str(N(e, n)) + r = [ + (a - b/2, 1, [Matrix([(12 + 24/(c - b/2))/((c - b/2)*e) + 3/(c - b/2), + (6 + 12/(c - b/2))/e, 1])]), + ( 0, 1, [Matrix([1, -2, 1])]), + (a + b/2, 1, [Matrix([(12 + 24/(c + b/2))/((c + b/2)*d) + 3/(c + b/2), + (6 + 12/(c + b/2))/d, 1])]), + ] + r1 = [(NS(r[i][0], 2), NS(r[i][1], 2), + [NS(j, 2) for j in r[i][2][0]]) for i in range(len(r))] + r = M.eigenvects() + r2 = [(NS(r[i][0], 2), NS(r[i][1], 2), + [NS(j, 2) for j in r[i][2][0]]) for i in range(len(r))] + assert sorted(r1) == sorted(r2) + + eps = Symbol('eps', real=True) + + M = Matrix([[abs(eps), I*eps ], + [-I*eps, abs(eps) ]]) + + assert M.eigenvects() == ( + [ + ( 0, 1, [Matrix([[-I*eps/abs(eps)], [1]])]), + ( 2*abs(eps), 1, [ Matrix([[I*eps/abs(eps)], [1]]) ] ), + ]) + + assert M.left_eigenvects() == ( + [ + (0, 1, [Matrix([[I*eps/Abs(eps), 1]])]), + (2*Abs(eps), 1, [Matrix([[-I*eps/Abs(eps), 1]])]) + ]) + + M = Matrix(3, 3, [1, 2, 0, 0, 3, 0, 2, -4, 2]) + M._eigenvects = M.eigenvects(simplify=False) + assert max(i.q for i in M._eigenvects[0][2][0]) > 1 + M._eigenvects = M.eigenvects(simplify=True) + assert max(i.q for i in M._eigenvects[0][2][0]) == 1 + + M = Matrix([[Rational(1, 4), 1], [1, 1]]) + assert M.eigenvects() == [ + (Rational(5, 8) - sqrt(73)/8, 1, [Matrix([[-sqrt(73)/8 - Rational(3, 8)], [1]])]), + (Rational(5, 8) + sqrt(73)/8, 1, [Matrix([[Rational(-3, 8) + sqrt(73)/8], [1]])])] + + # issue 10719 + assert Matrix([]).eigenvals() == {} + assert Matrix([]).eigenvals(multiple=True) == [] + assert Matrix([]).eigenvects() == [] + + # issue 15119 + raises(NonSquareMatrixError, + lambda: Matrix([[1, 2], [0, 4], [0, 0]]).eigenvals()) + raises(NonSquareMatrixError, + lambda: Matrix([[1, 0], [3, 4], [5, 6]]).eigenvals()) + raises(NonSquareMatrixError, + lambda: Matrix([[1, 2, 3], [0, 5, 6]]).eigenvals()) + raises(NonSquareMatrixError, + lambda: Matrix([[1, 0, 0], [4, 5, 0]]).eigenvals()) + raises(NonSquareMatrixError, + lambda: Matrix([[1, 2, 3], [0, 5, 6]]).eigenvals( + error_when_incomplete = False)) + raises(NonSquareMatrixError, + lambda: Matrix([[1, 0, 0], [4, 5, 0]]).eigenvals( + error_when_incomplete = False)) + + m = Matrix([[1, 2], [3, 4]]) + assert isinstance(m.eigenvals(simplify=True, multiple=False), dict) + assert isinstance(m.eigenvals(simplify=True, multiple=True), list) + assert isinstance(m.eigenvals(simplify=lambda x: x, multiple=False), dict) + assert isinstance(m.eigenvals(simplify=lambda x: x, multiple=True), list) + + +def test_float_eigenvals(): + m = Matrix([[1, .6, .6], [.6, .9, .9], [.9, .6, .6]]) + evals = [ + Rational(5, 4) - sqrt(385)/20, + sqrt(385)/20 + Rational(5, 4), + S.Zero] + + n_evals = m.eigenvals(rational=True, multiple=True) + n_evals = sorted(n_evals) + s_evals = [x.evalf() for x in evals] + s_evals = sorted(s_evals) + + for x, y in zip(n_evals, s_evals): + assert abs(x-y) < 10**-9 + + +@XFAIL +def test_eigen_vects(): + m = Matrix(2, 2, [1, 0, 0, I]) + raises(NotImplementedError, lambda: m.is_diagonalizable(True)) + # !!! bug because of eigenvects() or roots(x**2 + (-1 - I)*x + I, x) + # see issue 5292 + assert not m.is_diagonalizable(True) + raises(MatrixError, lambda: m.diagonalize(True)) + (P, D) = m.diagonalize(True) + +def test_issue_8240(): + # Eigenvalues of large triangular matrices + x, y = symbols('x y') + n = 200 + + diagonal_variables = [Symbol('x%s' % i) for i in range(n)] + M = [[0 for i in range(n)] for j in range(n)] + for i in range(n): + M[i][i] = diagonal_variables[i] + M = Matrix(M) + + eigenvals = M.eigenvals() + assert len(eigenvals) == n + for i in range(n): + assert eigenvals[diagonal_variables[i]] == 1 + + eigenvals = M.eigenvals(multiple=True) + assert set(eigenvals) == set(diagonal_variables) + + # with multiplicity + M = Matrix([[x, 0, 0], [1, y, 0], [2, 3, x]]) + eigenvals = M.eigenvals() + assert eigenvals == {x: 2, y: 1} + + eigenvals = M.eigenvals(multiple=True) + assert len(eigenvals) == 3 + assert eigenvals.count(x) == 2 + assert eigenvals.count(y) == 1 + + +def test_eigenvals(): + M = Matrix([[0, 1, 1], + [1, 0, 0], + [1, 1, 1]]) + assert M.eigenvals() == {2*S.One: 1, -S.One: 1, S.Zero: 1} + + m = Matrix([ + [3, 0, 0, 0, -3], + [0, -3, -3, 0, 3], + [0, 3, 0, 3, 0], + [0, 0, 3, 0, 3], + [3, 0, 0, 3, 0]]) + + # XXX Used dry-run test because arbitrary symbol that appears in + # CRootOf may not be unique. + assert m.eigenvals() + + +def test_eigenvects(): + M = Matrix([[0, 1, 1], + [1, 0, 0], + [1, 1, 1]]) + vecs = M.eigenvects() + for val, mult, vec_list in vecs: + assert len(vec_list) == 1 + assert M*vec_list[0] == val*vec_list[0] + + +def test_left_eigenvects(): + M = Matrix([[0, 1, 1], + [1, 0, 0], + [1, 1, 1]]) + vecs = M.left_eigenvects() + for val, mult, vec_list in vecs: + assert len(vec_list) == 1 + assert vec_list[0]*M == val*vec_list[0] + + +@slow +def test_bidiagonalize(): + M = Matrix([[1, 0, 0], + [0, 1, 0], + [0, 0, 1]]) + assert M.bidiagonalize() == M + assert M.bidiagonalize(upper=False) == M + assert M.bidiagonalize() == M + assert M.bidiagonal_decomposition() == (M, M, M) + assert M.bidiagonal_decomposition(upper=False) == (M, M, M) + assert M.bidiagonalize() == M + + import random + #Real Tests + for real_test in range(2): + test_values = [] + row = 2 + col = 2 + for _ in range(row * col): + value = random.randint(-1000000000, 1000000000) + test_values = test_values + [value] + # L -> Lower Bidiagonalization + # M -> Mutable Matrix + # N -> Immutable Matrix + # 0 -> Bidiagonalized form + # 1,2,3 -> Bidiagonal_decomposition matrices + # 4 -> Product of 1 2 3 + M = Matrix(row, col, test_values) + N = ImmutableMatrix(M) + + N1, N2, N3 = N.bidiagonal_decomposition() + M1, M2, M3 = M.bidiagonal_decomposition() + M0 = M.bidiagonalize() + N0 = N.bidiagonalize() + + N4 = N1 * N2 * N3 + M4 = M1 * M2 * M3 + + N2.simplify() + N4.simplify() + N0.simplify() + + M0.simplify() + M2.simplify() + M4.simplify() + + LM0 = M.bidiagonalize(upper=False) + LM1, LM2, LM3 = M.bidiagonal_decomposition(upper=False) + LN0 = N.bidiagonalize(upper=False) + LN1, LN2, LN3 = N.bidiagonal_decomposition(upper=False) + + LN4 = LN1 * LN2 * LN3 + LM4 = LM1 * LM2 * LM3 + + LN2.simplify() + LN4.simplify() + LN0.simplify() + + LM0.simplify() + LM2.simplify() + LM4.simplify() + + assert M == M4 + assert M2 == M0 + assert N == N4 + assert N2 == N0 + assert M == LM4 + assert LM2 == LM0 + assert N == LN4 + assert LN2 == LN0 + + #Complex Tests + for complex_test in range(2): + test_values = [] + size = 2 + for _ in range(size * size): + real = random.randint(-1000000000, 1000000000) + comp = random.randint(-1000000000, 1000000000) + value = real + comp * I + test_values = test_values + [value] + M = Matrix(size, size, test_values) + N = ImmutableMatrix(M) + # L -> Lower Bidiagonalization + # M -> Mutable Matrix + # N -> Immutable Matrix + # 0 -> Bidiagonalized form + # 1,2,3 -> Bidiagonal_decomposition matrices + # 4 -> Product of 1 2 3 + N1, N2, N3 = N.bidiagonal_decomposition() + M1, M2, M3 = M.bidiagonal_decomposition() + M0 = M.bidiagonalize() + N0 = N.bidiagonalize() + + N4 = N1 * N2 * N3 + M4 = M1 * M2 * M3 + + N2.simplify() + N4.simplify() + N0.simplify() + + M0.simplify() + M2.simplify() + M4.simplify() + + LM0 = M.bidiagonalize(upper=False) + LM1, LM2, LM3 = M.bidiagonal_decomposition(upper=False) + LN0 = N.bidiagonalize(upper=False) + LN1, LN2, LN3 = N.bidiagonal_decomposition(upper=False) + + LN4 = LN1 * LN2 * LN3 + LM4 = LM1 * LM2 * LM3 + + LN2.simplify() + LN4.simplify() + LN0.simplify() + + LM0.simplify() + LM2.simplify() + LM4.simplify() + + assert M == M4 + assert M2 == M0 + assert N == N4 + assert N2 == N0 + assert M == LM4 + assert LM2 == LM0 + assert N == LN4 + assert LN2 == LN0 + + M = Matrix(18, 8, range(1, 145)) + M = M.applyfunc(lambda i: Float(i)) + assert M.bidiagonal_decomposition()[1] == M.bidiagonalize() + assert M.bidiagonal_decomposition(upper=False)[1] == M.bidiagonalize(upper=False) + a, b, c = M.bidiagonal_decomposition() + diff = a * b * c - M + assert abs(max(diff)) < 10**-12 + + +def test_diagonalize(): + m = Matrix(2, 2, [0, -1, 1, 0]) + raises(MatrixError, lambda: m.diagonalize(reals_only=True)) + P, D = m.diagonalize() + assert D.is_diagonal() + assert D == Matrix([ + [-I, 0], + [ 0, I]]) + + # make sure we use floats out if floats are passed in + m = Matrix(2, 2, [0, .5, .5, 0]) + P, D = m.diagonalize() + assert all(isinstance(e, Float) for e in D.values()) + assert all(isinstance(e, Float) for e in P.values()) + + _, D2 = m.diagonalize(reals_only=True) + assert D == D2 + + m = Matrix( + [[0, 1, 0, 0], [1, 0, 0, 0.002], [0.002, 0, 0, 1], [0, 0, 1, 0]]) + P, D = m.diagonalize() + assert allclose(P*D, m*P) + + +def test_is_diagonalizable(): + a, b, c = symbols('a b c') + m = Matrix(2, 2, [a, c, c, b]) + assert m.is_symmetric() + assert m.is_diagonalizable() + assert not Matrix(2, 2, [1, 1, 0, 1]).is_diagonalizable() + + m = Matrix(2, 2, [0, -1, 1, 0]) + assert m.is_diagonalizable() + assert not m.is_diagonalizable(reals_only=True) + + +def test_jordan_form(): + m = Matrix(3, 2, [-3, 1, -3, 20, 3, 10]) + raises(NonSquareMatrixError, lambda: m.jordan_form()) + + # the next two tests test the cases where the old + # algorithm failed due to the fact that the block structure can + # *NOT* be determined from algebraic and geometric multiplicity alone + # This can be seen most easily when one lets compute the J.c.f. of a matrix that + # is in J.c.f already. + m = Matrix(4, 4, [2, 1, 0, 0, + 0, 2, 1, 0, + 0, 0, 2, 0, + 0, 0, 0, 2 + ]) + P, J = m.jordan_form() + assert m == J + + m = Matrix(4, 4, [2, 1, 0, 0, + 0, 2, 0, 0, + 0, 0, 2, 1, + 0, 0, 0, 2 + ]) + P, J = m.jordan_form() + assert m == J + + A = Matrix([[ 2, 4, 1, 0], + [-4, 2, 0, 1], + [ 0, 0, 2, 4], + [ 0, 0, -4, 2]]) + P, J = A.jordan_form() + assert simplify(P*J*P.inv()) == A + + assert Matrix(1, 1, [1]).jordan_form() == (Matrix([1]), Matrix([1])) + assert Matrix(1, 1, [1]).jordan_form(calc_transform=False) == Matrix([1]) + + # If we have eigenvalues in CRootOf form, raise errors + m = Matrix([[3, 0, 0, 0, -3], [0, -3, -3, 0, 3], [0, 3, 0, 3, 0], [0, 0, 3, 0, 3], [3, 0, 0, 3, 0]]) + raises(MatrixError, lambda: m.jordan_form()) + + # make sure that if the input has floats, the output does too + m = Matrix([ + [ 0.6875, 0.125 + 0.1875*sqrt(3)], + [0.125 + 0.1875*sqrt(3), 0.3125]]) + P, J = m.jordan_form() + assert all(isinstance(x, Float) or x == 0 for x in P) + assert all(isinstance(x, Float) or x == 0 for x in J) + + +def test_singular_values(): + x = Symbol('x', real=True) + + A = Matrix([[0, 1*I], [2, 0]]) + # if singular values can be sorted, they should be in decreasing order + assert A.singular_values() == [2, 1] + + A = eye(3) + A[1, 1] = x + A[2, 2] = 5 + vals = A.singular_values() + # since Abs(x) cannot be sorted, test set equality + assert set(vals) == {5, 1, Abs(x)} + + A = Matrix([[sin(x), cos(x)], [-cos(x), sin(x)]]) + vals = [sv.trigsimp() for sv in A.singular_values()] + assert vals == [S.One, S.One] + + A = Matrix([ + [2, 4], + [1, 3], + [0, 0], + [0, 0] + ]) + assert A.singular_values() == \ + [sqrt(sqrt(221) + 15), sqrt(15 - sqrt(221))] + assert A.T.singular_values() == \ + [sqrt(sqrt(221) + 15), sqrt(15 - sqrt(221)), 0, 0] + +def test___eq__(): + assert (Matrix( + [[0, 1, 1], + [1, 0, 0], + [1, 1, 1]]) == {}) is False + + +def test_definite(): + # Examples from Gilbert Strang, "Introduction to Linear Algebra" + # Positive definite matrices + m = Matrix([[2, -1, 0], [-1, 2, -1], [0, -1, 2]]) + assert m.is_positive_definite == True + assert m.is_positive_semidefinite == True + assert m.is_negative_definite == False + assert m.is_negative_semidefinite == False + assert m.is_indefinite == False + + m = Matrix([[5, 4], [4, 5]]) + assert m.is_positive_definite == True + assert m.is_positive_semidefinite == True + assert m.is_negative_definite == False + assert m.is_negative_semidefinite == False + assert m.is_indefinite == False + + # Positive semidefinite matrices + m = Matrix([[2, -1, -1], [-1, 2, -1], [-1, -1, 2]]) + assert m.is_positive_definite == False + assert m.is_positive_semidefinite == True + assert m.is_negative_definite == False + assert m.is_negative_semidefinite == False + assert m.is_indefinite == False + + m = Matrix([[1, 2], [2, 4]]) + assert m.is_positive_definite == False + assert m.is_positive_semidefinite == True + assert m.is_negative_definite == False + assert m.is_negative_semidefinite == False + assert m.is_indefinite == False + + # Examples from Mathematica documentation + # Non-hermitian positive definite matrices + m = Matrix([[2, 3], [4, 8]]) + assert m.is_positive_definite == True + assert m.is_positive_semidefinite == True + assert m.is_negative_definite == False + assert m.is_negative_semidefinite == False + assert m.is_indefinite == False + + # Hermetian matrices + m = Matrix([[1, 2*I], [-I, 4]]) + assert m.is_positive_definite == True + assert m.is_positive_semidefinite == True + assert m.is_negative_definite == False + assert m.is_negative_semidefinite == False + assert m.is_indefinite == False + + # Symbolic matrices examples + a = Symbol('a', positive=True) + b = Symbol('b', negative=True) + m = Matrix([[a, 0, 0], [0, a, 0], [0, 0, a]]) + assert m.is_positive_definite == True + assert m.is_positive_semidefinite == True + assert m.is_negative_definite == False + assert m.is_negative_semidefinite == False + assert m.is_indefinite == False + + m = Matrix([[b, 0, 0], [0, b, 0], [0, 0, b]]) + assert m.is_positive_definite == False + assert m.is_positive_semidefinite == False + assert m.is_negative_definite == True + assert m.is_negative_semidefinite == True + assert m.is_indefinite == False + + m = Matrix([[a, 0], [0, b]]) + assert m.is_positive_definite == False + assert m.is_positive_semidefinite == False + assert m.is_negative_definite == False + assert m.is_negative_semidefinite == False + assert m.is_indefinite == True + + m = Matrix([ + [0.0228202735623867, 0.00518748979085398, + -0.0743036351048907, -0.00709135324903921], + [0.00518748979085398, 0.0349045359786350, + 0.0830317991056637, 0.00233147902806909], + [-0.0743036351048907, 0.0830317991056637, + 1.15859676366277, 0.340359081555988], + [-0.00709135324903921, 0.00233147902806909, + 0.340359081555988, 0.928147644848199] + ]) + assert m.is_positive_definite == True + assert m.is_positive_semidefinite == True + assert m.is_indefinite == False + + # test for issue 19547: https://github.com/sympy/sympy/issues/19547 + m = Matrix([ + [0, 0, 0], + [0, 1, 2], + [0, 2, 1] + ]) + assert not m.is_positive_definite + assert not m.is_positive_semidefinite + + +def test_positive_semidefinite_cholesky(): + from sympy.matrices.eigen import _is_positive_semidefinite_cholesky + + m = Matrix([[0, 0, 0], [0, 0, 0], [0, 0, 0]]) + assert _is_positive_semidefinite_cholesky(m) == True + m = Matrix([[0, 0, 0], [0, 5, -10*I], [0, 10*I, 5]]) + assert _is_positive_semidefinite_cholesky(m) == False + m = Matrix([[1, 0, 0], [0, 0, 0], [0, 0, -1]]) + assert _is_positive_semidefinite_cholesky(m) == False + m = Matrix([[0, 1], [1, 0]]) + assert _is_positive_semidefinite_cholesky(m) == False + + # https://www.value-at-risk.net/cholesky-factorization/ + m = Matrix([[4, -2, -6], [-2, 10, 9], [-6, 9, 14]]) + assert _is_positive_semidefinite_cholesky(m) == True + m = Matrix([[9, -3, 3], [-3, 2, 1], [3, 1, 6]]) + assert _is_positive_semidefinite_cholesky(m) == True + m = Matrix([[4, -2, 2], [-2, 1, -1], [2, -1, 5]]) + assert _is_positive_semidefinite_cholesky(m) == True + m = Matrix([[1, 2, -1], [2, 5, 1], [-1, 1, 9]]) + assert _is_positive_semidefinite_cholesky(m) == False + + +def test_issue_20582(): + A = Matrix([ + [5, -5, -3, 2, -7], + [-2, -5, 0, 2, 1], + [-2, -7, -5, -2, -6], + [7, 10, 3, 9, -2], + [4, -10, 3, -8, -4] + ]) + # XXX Used dry-run test because arbitrary symbol that appears in + # CRootOf may not be unique. + assert A.eigenvects() + +def test_issue_19210(): + t = Symbol('t') + H = Matrix([[3, 0, 0, 0], [0, 1 , 2, 0], [0, 2, 2, 0], [0, 0, 0, 4]]) + A = (-I * H * t).jordan_form() + assert A == (Matrix([ + [0, 1, 0, 0], + [0, 0, -4/(-1 + sqrt(17)), 4/(1 + sqrt(17))], + [0, 0, 1, 1], + [1, 0, 0, 0]]), Matrix([ + [-4*I*t, 0, 0, 0], + [ 0, -3*I*t, 0, 0], + [ 0, 0, t*(-3*I/2 + sqrt(17)*I/2), 0], + [ 0, 0, 0, t*(-sqrt(17)*I/2 - 3*I/2)]])) + + +def test_issue_20275(): + # XXX We use complex expansions because complex exponentials are not + # recognized by polys.domains + A = DFT(3).as_explicit().expand(complex=True) + eigenvects = A.eigenvects() + assert eigenvects[0] == ( + -1, 1, + [Matrix([[1 - sqrt(3)], [1], [1]])] + ) + assert eigenvects[1] == ( + 1, 1, + [Matrix([[1 + sqrt(3)], [1], [1]])] + ) + assert eigenvects[2] == ( + -I, 1, + [Matrix([[0], [-1], [1]])] + ) + + A = DFT(4).as_explicit().expand(complex=True) + eigenvects = A.eigenvects() + assert eigenvects[0] == ( + -1, 1, + [Matrix([[-1], [1], [1], [1]])] + ) + assert eigenvects[1] == ( + 1, 2, + [Matrix([[1], [0], [1], [0]]), Matrix([[2], [1], [0], [1]])] + ) + assert eigenvects[2] == ( + -I, 1, + [Matrix([[0], [-1], [0], [1]])] + ) + + # XXX We skip test for some parts of eigenvectors which are very + # complicated and fragile under expression tree changes + A = DFT(5).as_explicit().expand(complex=True) + eigenvects = A.eigenvects() + assert eigenvects[0] == ( + -1, 1, + [Matrix([[1 - sqrt(5)], [1], [1], [1], [1]])] + ) + assert eigenvects[1] == ( + 1, 2, + [Matrix([[S(1)/2 + sqrt(5)/2], [0], [1], [1], [0]]), + Matrix([[S(1)/2 + sqrt(5)/2], [1], [0], [0], [1]])] + ) + + +def test_issue_20752(): + b = symbols('b', nonzero=True) + m = Matrix([[0, 0, 0], [0, b, 0], [0, 0, b]]) + assert m.is_positive_semidefinite is None + + +def test_issue_25282(): + dd = sd = [0] * 11 + [1] + ds = [2, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0] + ss = ds.copy() + ss[8] = 2 + + def rotate(x, i): + return x[i:] + x[:i] + + mat = [] + for i in range(12): + mat.append(rotate(ss, i) + rotate(sd, i)) + for i in range(12): + mat.append(rotate(ds, i) + rotate(dd, i)) + + assert sum(Matrix(mat).eigenvals().values()) == 24 diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/test_graph.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/test_graph.py new file mode 100644 index 0000000000000000000000000000000000000000..0bf3c819a9477387f53560a034d7949fd76a654f --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/test_graph.py @@ -0,0 +1,108 @@ +from sympy.combinatorics import Permutation +from sympy.core.symbol import symbols +from sympy.matrices import Matrix +from sympy.matrices.expressions import ( + PermutationMatrix, BlockDiagMatrix, BlockMatrix) + + +def test_connected_components(): + a, b, c, d, e, f, g, h, i, j, k, l, m = symbols('a:m') + + M = Matrix([ + [a, 0, 0, 0, b, 0, 0, 0, 0, 0, c, 0, 0], + [0, d, 0, 0, 0, e, 0, 0, 0, 0, 0, f, 0], + [0, 0, g, 0, 0, 0, h, 0, 0, 0, 0, 0, i], + [0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0], + [m, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0], + [0, m, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0], + [0, 0, m, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0], + [j, 0, 0, 0, k, 0, 0, 1, 0, 0, l, 0, 0], + [0, j, 0, 0, 0, k, 0, 0, 1, 0, 0, l, 0], + [0, 0, j, 0, 0, 0, k, 0, 0, 1, 0, 0, l], + [0, 0, 0, 0, d, 0, 0, 0, 0, 0, 1, 0, 0], + [0, 0, 0, 0, 0, d, 0, 0, 0, 0, 0, 1, 0], + [0, 0, 0, 0, 0, 0, d, 0, 0, 0, 0, 0, 1]]) + cc = M.connected_components() + assert cc == [[0, 4, 7, 10], [1, 5, 8, 11], [2, 6, 9, 12], [3]] + + P, B = M.connected_components_decomposition() + p = Permutation([0, 4, 7, 10, 1, 5, 8, 11, 2, 6, 9, 12, 3]) + assert P == PermutationMatrix(p) + + B0 = Matrix([ + [a, b, 0, c], + [m, 1, 0, 0], + [j, k, 1, l], + [0, d, 0, 1]]) + B1 = Matrix([ + [d, e, 0, f], + [m, 1, 0, 0], + [j, k, 1, l], + [0, d, 0, 1]]) + B2 = Matrix([ + [g, h, 0, i], + [m, 1, 0, 0], + [j, k, 1, l], + [0, d, 0, 1]]) + B3 = Matrix([[1]]) + assert B == BlockDiagMatrix(B0, B1, B2, B3) + + +def test_strongly_connected_components(): + M = Matrix([ + [11, 14, 10, 0, 15, 0], + [0, 44, 0, 0, 45, 0], + [1, 4, 0, 0, 5, 0], + [0, 0, 0, 22, 0, 23], + [0, 54, 0, 0, 55, 0], + [0, 0, 0, 32, 0, 33]]) + scc = M.strongly_connected_components() + assert scc == [[1, 4], [0, 2], [3, 5]] + + P, B = M.strongly_connected_components_decomposition() + p = Permutation([1, 4, 0, 2, 3, 5]) + assert P == PermutationMatrix(p) + assert B == BlockMatrix([ + [ + Matrix([[44, 45], [54, 55]]), + Matrix.zeros(2, 2), + Matrix.zeros(2, 2) + ], + [ + Matrix([[14, 15], [4, 5]]), + Matrix([[11, 10], [1, 0]]), + Matrix.zeros(2, 2) + ], + [ + Matrix.zeros(2, 2), + Matrix.zeros(2, 2), + Matrix([[22, 23], [32, 33]]) + ] + ]) + P = P.as_explicit() + B = B.as_explicit() + assert P.T * B * P == M + + P, B = M.strongly_connected_components_decomposition(lower=False) + p = Permutation([3, 5, 0, 2, 1, 4]) + assert P == PermutationMatrix(p) + assert B == BlockMatrix([ + [ + Matrix([[22, 23], [32, 33]]), + Matrix.zeros(2, 2), + Matrix.zeros(2, 2) + ], + [ + Matrix.zeros(2, 2), + Matrix([[11, 10], [1, 0]]), + Matrix([[14, 15], [4, 5]]) + ], + [ + Matrix.zeros(2, 2), + Matrix.zeros(2, 2), + Matrix([[44, 45], [54, 55]]) + ] + ]) + P = P.as_explicit() + B = B.as_explicit() + assert P.T * B * P == M diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/test_immutable.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/test_immutable.py new file mode 100644 index 0000000000000000000000000000000000000000..2b83c1f9fae7f83be9d5f7dd4b484781dc128faf --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/test_immutable.py @@ -0,0 +1,136 @@ +from itertools import product + +from sympy.core.relational import (Equality, Unequality) +from sympy.core.singleton import S +from sympy.core.sympify import sympify +from sympy.integrals.integrals import integrate +from sympy.matrices.dense import (Matrix, eye, zeros) +from sympy.matrices.immutable import ImmutableMatrix +from sympy.matrices import SparseMatrix +from sympy.matrices.immutable import \ + ImmutableDenseMatrix, ImmutableSparseMatrix +from sympy.abc import x, y +from sympy.testing.pytest import raises + +IM = ImmutableDenseMatrix([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) +ISM = ImmutableSparseMatrix([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) +ieye = ImmutableDenseMatrix(eye(3)) + + +def test_creation(): + assert IM.shape == ISM.shape == (3, 3) + assert IM[1, 2] == ISM[1, 2] == 6 + assert IM[2, 2] == ISM[2, 2] == 9 + + +def test_immutability(): + with raises(TypeError): + IM[2, 2] = 5 + with raises(TypeError): + ISM[2, 2] = 5 + + +def test_slicing(): + assert IM[1, :] == ImmutableDenseMatrix([[4, 5, 6]]) + assert IM[:2, :2] == ImmutableDenseMatrix([[1, 2], [4, 5]]) + assert ISM[1, :] == ImmutableSparseMatrix([[4, 5, 6]]) + assert ISM[:2, :2] == ImmutableSparseMatrix([[1, 2], [4, 5]]) + + +def test_subs(): + A = ImmutableMatrix([[1, 2], [3, 4]]) + B = ImmutableMatrix([[1, 2], [x, 4]]) + C = ImmutableMatrix([[-x, x*y], [-(x + y), y**2]]) + assert B.subs(x, 3) == A + assert (x*B).subs(x, 3) == 3*A + assert (x*eye(2) + B).subs(x, 3) == 3*eye(2) + A + assert C.subs([[x, -1], [y, -2]]) == A + assert C.subs([(x, -1), (y, -2)]) == A + assert C.subs({x: -1, y: -2}) == A + assert C.subs({x: y - 1, y: x - 1}, simultaneous=True) == \ + ImmutableMatrix([[1 - y, (x - 1)*(y - 1)], [2 - x - y, (x - 1)**2]]) + + +def test_as_immutable(): + data = [[1, 2], [3, 4]] + X = Matrix(data) + assert sympify(X) == X.as_immutable() == ImmutableMatrix(data) + + data = {(0, 0): 1, (0, 1): 2, (1, 0): 3, (1, 1): 4} + X = SparseMatrix(2, 2, data) + assert sympify(X) == X.as_immutable() == ImmutableSparseMatrix(2, 2, data) + + +def test_function_return_types(): + # Lets ensure that decompositions of immutable matrices remain immutable + # I.e. do MatrixBase methods return the correct class? + X = ImmutableMatrix([[1, 2], [3, 4]]) + Y = ImmutableMatrix([[1], [0]]) + q, r = X.QRdecomposition() + assert (type(q), type(r)) == (ImmutableMatrix, ImmutableMatrix) + + assert type(X.LUsolve(Y)) == ImmutableMatrix + assert type(X.QRsolve(Y)) == ImmutableMatrix + + X = ImmutableMatrix([[5, 2], [2, 7]]) + assert X.T == X + assert X.is_symmetric + assert type(X.cholesky()) == ImmutableMatrix + L, D = X.LDLdecomposition() + assert (type(L), type(D)) == (ImmutableMatrix, ImmutableMatrix) + + X = ImmutableMatrix([[1, 2], [2, 1]]) + assert X.is_diagonalizable() + assert X.det() == -3 + assert X.norm(2) == 3 + + assert type(X.eigenvects()[0][2][0]) == ImmutableMatrix + + assert type(zeros(3, 3).as_immutable().nullspace()[0]) == ImmutableMatrix + + X = ImmutableMatrix([[1, 0], [2, 1]]) + assert type(X.lower_triangular_solve(Y)) == ImmutableMatrix + assert type(X.T.upper_triangular_solve(Y)) == ImmutableMatrix + + assert type(X.minor_submatrix(0, 0)) == ImmutableMatrix + +# issue 6279 +# https://github.com/sympy/sympy/issues/6279 +# Test that Immutable _op_ Immutable => Immutable and not MatExpr + + +def test_immutable_evaluation(): + X = ImmutableMatrix(eye(3)) + A = ImmutableMatrix(3, 3, range(9)) + assert isinstance(X + A, ImmutableMatrix) + assert isinstance(X * A, ImmutableMatrix) + assert isinstance(X * 2, ImmutableMatrix) + assert isinstance(2 * X, ImmutableMatrix) + assert isinstance(A**2, ImmutableMatrix) + + +def test_deterimant(): + assert ImmutableMatrix(4, 4, lambda i, j: i + j).det() == 0 + + +def test_Equality(): + assert Equality(IM, IM) is S.true + assert Unequality(IM, IM) is S.false + assert Equality(IM, IM.subs(1, 2)) is S.false + assert Unequality(IM, IM.subs(1, 2)) is S.true + assert Equality(IM, 2) is S.false + assert Unequality(IM, 2) is S.true + M = ImmutableMatrix([x, y]) + assert Equality(M, IM) is S.false + assert Unequality(M, IM) is S.true + assert Equality(M, M.subs(x, 2)).subs(x, 2) is S.true + assert Unequality(M, M.subs(x, 2)).subs(x, 2) is S.false + assert Equality(M, M.subs(x, 2)).subs(x, 3) is S.false + assert Unequality(M, M.subs(x, 2)).subs(x, 3) is S.true + + +def test_integrate(): + intIM = integrate(IM, x) + assert intIM.shape == IM.shape + assert all(intIM[i, j] == (1 + j + 3*i)*x for i, j in + product(range(3), range(3))) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/test_interactions.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/test_interactions.py new file mode 100644 index 0000000000000000000000000000000000000000..f4fc3268368e8dd632fc0df187d57ea5e845120c --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/test_interactions.py @@ -0,0 +1,77 @@ +""" +We have a few different kind of Matrices +Matrix, ImmutableMatrix, MatrixExpr + +Here we test the extent to which they cooperate +""" + +from sympy.core.symbol import symbols +from sympy.matrices import (Matrix, MatrixSymbol, eye, Identity, + ImmutableMatrix) +from sympy.matrices.expressions import MatrixExpr, MatAdd +from sympy.matrices.matrixbase import classof +from sympy.testing.pytest import raises + +SM = MatrixSymbol('X', 3, 3) +SV = MatrixSymbol('v', 3, 1) +MM = Matrix([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) +IM = ImmutableMatrix([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) +meye = eye(3) +imeye = ImmutableMatrix(eye(3)) +ideye = Identity(3) +a, b, c = symbols('a,b,c') + + +def test_IM_MM(): + assert isinstance(MM + IM, ImmutableMatrix) + assert isinstance(IM + MM, ImmutableMatrix) + assert isinstance(2*IM + MM, ImmutableMatrix) + assert MM.equals(IM) + + +def test_ME_MM(): + assert isinstance(Identity(3) + MM, MatrixExpr) + assert isinstance(SM + MM, MatAdd) + assert isinstance(MM + SM, MatAdd) + assert (Identity(3) + MM)[1, 1] == 6 + + +def test_equality(): + a, b, c = Identity(3), eye(3), ImmutableMatrix(eye(3)) + for x in [a, b, c]: + for y in [a, b, c]: + assert x.equals(y) + + +def test_matrix_symbol_MM(): + X = MatrixSymbol('X', 3, 3) + Y = eye(3) + X + assert Y[1, 1] == 1 + X[1, 1] + + +def test_matrix_symbol_vector_matrix_multiplication(): + A = MM * SV + B = IM * SV + assert A == B + C = (SV.T * MM.T).T + assert B == C + D = (SV.T * IM.T).T + assert C == D + + +def test_indexing_interactions(): + assert (a * IM)[1, 1] == 5*a + assert (SM + IM)[1, 1] == SM[1, 1] + IM[1, 1] + assert (SM * IM)[1, 1] == SM[1, 0]*IM[0, 1] + SM[1, 1]*IM[1, 1] + \ + SM[1, 2]*IM[2, 1] + + +def test_classof(): + A = Matrix(3, 3, range(9)) + B = ImmutableMatrix(3, 3, range(9)) + C = MatrixSymbol('C', 3, 3) + assert classof(A, A) == Matrix + assert classof(B, B) == ImmutableMatrix + assert classof(A, B) == ImmutableMatrix + assert classof(B, A) == ImmutableMatrix + raises(TypeError, lambda: classof(A, C)) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/test_matrices.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/test_matrices.py new file mode 100644 index 0000000000000000000000000000000000000000..d9d97341de570e078d652dddce58fb8f5cb99e43 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/test_matrices.py @@ -0,0 +1,3487 @@ +# +# Code for testing deprecated matrix classes. New test code should not be added +# here. Instead, add it to test_matrixbase.py. +# +# This entire test module and the corresponding sympy/matrices/matrices.py +# module will be removed in a future release. +# +import random +import concurrent.futures +from collections.abc import Hashable + +from sympy.core.add import Add +from sympy.core.function import Function, diff, expand +from sympy.core.numbers import (E, Float, I, Integer, Rational, nan, oo, pi) +from sympy.core.power import Pow +from sympy.core.singleton import S +from sympy.core.symbol import (Symbol, symbols) +from sympy.core.sympify import sympify +from sympy.functions.elementary.complexes import Abs +from sympy.functions.elementary.exponential import (exp, log) +from sympy.functions.elementary.miscellaneous import (Max, Min, sqrt) +from sympy.functions.elementary.trigonometric import (cos, sin, tan) +from sympy.integrals.integrals import integrate +from sympy.matrices.expressions.transpose import transpose +from sympy.physics.quantum.operator import HermitianOperator, Operator, Dagger +from sympy.polys.polytools import (Poly, PurePoly) +from sympy.polys.rootoftools import RootOf +from sympy.printing.str import sstr +from sympy.sets.sets import FiniteSet +from sympy.simplify.simplify import (signsimp, simplify) +from sympy.simplify.trigsimp import trigsimp +from sympy.matrices.exceptions import (ShapeError, MatrixError, + NonSquareMatrixError) +from sympy.matrices.matrixbase import DeferredVector +from sympy.matrices.determinant import _find_reasonable_pivot_naive +from sympy.matrices.utilities import _simplify +from sympy.matrices import ( + GramSchmidt, ImmutableMatrix, ImmutableSparseMatrix, Matrix, + SparseMatrix, casoratian, diag, eye, hessian, + matrix_multiply_elementwise, ones, randMatrix, rot_axis1, rot_axis2, + rot_axis3, wronskian, zeros, MutableDenseMatrix, ImmutableDenseMatrix, + MatrixSymbol, dotprodsimp, rot_ccw_axis1, rot_ccw_axis2, rot_ccw_axis3) +from sympy.matrices.utilities import _dotprodsimp_state +from sympy.core import Tuple, Wild +from sympy.functions.special.tensor_functions import KroneckerDelta +from sympy.utilities.iterables import flatten, capture, iterable +from sympy.utilities.exceptions import ignore_warnings +from sympy.testing.pytest import (raises, XFAIL, slow, skip, skip_under_pyodide, + warns_deprecated_sympy) +from sympy.assumptions import Q +from sympy.tensor.array import Array +from sympy.tensor.array.array_derivatives import ArrayDerivative +from sympy.matrices.expressions import MatPow +from sympy.algebras import Quaternion + +from sympy import O + +from sympy.abc import a, b, c, d, x, y, z, t + + +# don't re-order this list +classes = (Matrix, SparseMatrix, ImmutableMatrix, ImmutableSparseMatrix) + + +# Test the deprecated matrixmixins +from sympy.matrices.common import _MinimalMatrix, _CastableMatrix +from sympy.matrices.matrices import MatrixSubspaces, MatrixReductions + + +with warns_deprecated_sympy(): + class SubspaceOnlyMatrix(_MinimalMatrix, _CastableMatrix, MatrixSubspaces): + pass + + +with warns_deprecated_sympy(): + class ReductionsOnlyMatrix(_MinimalMatrix, _CastableMatrix, MatrixReductions): + pass + + +def eye_Reductions(n): + return ReductionsOnlyMatrix(n, n, lambda i, j: int(i == j)) + + +def zeros_Reductions(n): + return ReductionsOnlyMatrix(n, n, lambda i, j: 0) + + +def test_args(): + for n, cls in enumerate(classes): + m = cls.zeros(3, 2) + # all should give back the same type of arguments, e.g. ints for shape + assert m.shape == (3, 2) and all(type(i) is int for i in m.shape) + assert m.rows == 3 and type(m.rows) is int + assert m.cols == 2 and type(m.cols) is int + if not n % 2: + assert type(m.flat()) in (list, tuple, Tuple) + else: + assert type(m.todok()) is dict + + +def test_deprecated_mat_smat(): + for cls in Matrix, ImmutableMatrix: + m = cls.zeros(3, 2) + with warns_deprecated_sympy(): + mat = m._mat + assert mat == m.flat() + for cls in SparseMatrix, ImmutableSparseMatrix: + m = cls.zeros(3, 2) + with warns_deprecated_sympy(): + smat = m._smat + assert smat == m.todok() + + +def test_division(): + v = Matrix(1, 2, [x, y]) + assert v/z == Matrix(1, 2, [x/z, y/z]) + + +def test_sum(): + m = Matrix([[1, 2, 3], [x, y, x], [2*y, -50, z*x]]) + assert m + m == Matrix([[2, 4, 6], [2*x, 2*y, 2*x], [4*y, -100, 2*z*x]]) + n = Matrix(1, 2, [1, 2]) + raises(ShapeError, lambda: m + n) + +def test_abs(): + m = Matrix(1, 2, [-3, x]) + n = Matrix(1, 2, [3, Abs(x)]) + assert abs(m) == n + +def test_addition(): + a = Matrix(( + (1, 2), + (3, 1), + )) + + b = Matrix(( + (1, 2), + (3, 0), + )) + + assert a + b == a.add(b) == Matrix([[2, 4], [6, 1]]) + + +def test_fancy_index_matrix(): + for M in (Matrix, SparseMatrix): + a = M(3, 3, range(9)) + assert a == a[:, :] + assert a[1, :] == Matrix(1, 3, [3, 4, 5]) + assert a[:, 1] == Matrix([1, 4, 7]) + assert a[[0, 1], :] == Matrix([[0, 1, 2], [3, 4, 5]]) + assert a[[0, 1], 2] == a[[0, 1], [2]] + assert a[2, [0, 1]] == a[[2], [0, 1]] + assert a[:, [0, 1]] == Matrix([[0, 1], [3, 4], [6, 7]]) + assert a[0, 0] == 0 + assert a[0:2, :] == Matrix([[0, 1, 2], [3, 4, 5]]) + assert a[:, 0:2] == Matrix([[0, 1], [3, 4], [6, 7]]) + assert a[::2, 1] == a[[0, 2], 1] + assert a[1, ::2] == a[1, [0, 2]] + a = M(3, 3, range(9)) + assert a[[0, 2, 1, 2, 1], :] == Matrix([ + [0, 1, 2], + [6, 7, 8], + [3, 4, 5], + [6, 7, 8], + [3, 4, 5]]) + assert a[:, [0,2,1,2,1]] == Matrix([ + [0, 2, 1, 2, 1], + [3, 5, 4, 5, 4], + [6, 8, 7, 8, 7]]) + + a = SparseMatrix.zeros(3) + a[1, 2] = 2 + a[0, 1] = 3 + a[2, 0] = 4 + assert a.extract([1, 1], [2]) == Matrix([ + [2], + [2]]) + assert a.extract([1, 0], [2, 2, 2]) == Matrix([ + [2, 2, 2], + [0, 0, 0]]) + assert a.extract([1, 0, 1, 2], [2, 0, 1, 0]) == Matrix([ + [2, 0, 0, 0], + [0, 0, 3, 0], + [2, 0, 0, 0], + [0, 4, 0, 4]]) + + +def test_multiplication(): + a = Matrix(( + (1, 2), + (3, 1), + (0, 6), + )) + + b = Matrix(( + (1, 2), + (3, 0), + )) + + c = a*b + assert c[0, 0] == 7 + assert c[0, 1] == 2 + assert c[1, 0] == 6 + assert c[1, 1] == 6 + assert c[2, 0] == 18 + assert c[2, 1] == 0 + + try: + eval('c = a @ b') + except SyntaxError: + pass + else: + assert c[0, 0] == 7 + assert c[0, 1] == 2 + assert c[1, 0] == 6 + assert c[1, 1] == 6 + assert c[2, 0] == 18 + assert c[2, 1] == 0 + + h = matrix_multiply_elementwise(a, c) + assert h == a.multiply_elementwise(c) + assert h[0, 0] == 7 + assert h[0, 1] == 4 + assert h[1, 0] == 18 + assert h[1, 1] == 6 + assert h[2, 0] == 0 + assert h[2, 1] == 0 + raises(ShapeError, lambda: matrix_multiply_elementwise(a, b)) + + c = b * Symbol("x") + assert isinstance(c, Matrix) + assert c[0, 0] == x + assert c[0, 1] == 2*x + assert c[1, 0] == 3*x + assert c[1, 1] == 0 + + c2 = x * b + assert c == c2 + + c = 5 * b + assert isinstance(c, Matrix) + assert c[0, 0] == 5 + assert c[0, 1] == 2*5 + assert c[1, 0] == 3*5 + assert c[1, 1] == 0 + + try: + eval('c = 5 @ b') + except SyntaxError: + pass + else: + assert isinstance(c, Matrix) + assert c[0, 0] == 5 + assert c[0, 1] == 2*5 + assert c[1, 0] == 3*5 + assert c[1, 1] == 0 + + +def test_multiplication_inf_zero(): + + M = Matrix([[oo, 0], [0, oo]]) + assert M ** 2 == M + + M = Matrix([[oo, oo], [0, 0]]) + assert M ** 2 == Matrix([[nan, nan], [nan, nan]]) + + A = Matrix([ + [0, 0, 0, -S(1)/2], + [0, 1, 0, 0], + [0, 0, 1, 0], + [-S(1)/2, 0, 0, 0]]) + + B = Matrix([ + [pi*x**2, 0, pi*b*x**4/8 + pi*a*x**4/8 + O(x**5), pi*x**4/2 + pi*b**2*x**6/32 + pi*a*b*x**6/48 + pi*a**2*x**6/32 + O(x**7)], + [0, pi*x**4/4, O(x**6), O(x**8)], + [pi*b*x**4/8 + pi*a*x**4/8 + O(x**5), O(x**6), pi*b**2*x**6/32 + pi*a*b*x**6/48 + pi*a**2*x**6/32 + O(x**7), pi*b*x**6/12 + pi*a*x**6/12 + O(x**7)], + [pi*x**4/2 + pi*b**2*x**6/32 + pi*a*b*x**6/48 + pi*a**2*x**6/32 + O(x**7), O(x**8), pi*b*x**6/12 + pi*a*x**6/12 + O(x**7), pi*x**6/3 + 3*pi*b**2*x**8/64 + pi*a*b*x**8/32 + 3*pi*a**2*x**8/64 + O(x**9)]]) + + C = Matrix([ + [-pi*x**4/4 - pi*b**2*x**6/64 - pi*a*b*x**6/96 - pi*a**2*x**6/64 + O(x**7), O(x**8), -pi*b*x**6/24 - pi*a*x**6/24 + O(x**7), -pi*x**6/6 - 3*pi*b**2*x**8/128 - pi*a*b*x**8/64 - 3*pi*a**2*x**8/128 + O(x**9)], + [ 0, pi*x**4/4, O(x**6), O(x**8)], + [ pi*b*x**4/8 + pi*a*x**4/8 + O(x**5), O(x**6), pi*b**2*x**6/32 + pi*a*b*x**6/48 + pi*a**2*x**6/32 + O(x**7), pi*b*x**6/12 + pi*a*x**6/12 + O(x**7)], + [ -pi*x**2/2, 0, -pi*b*x**4/16 - pi*a*x**4/16 + O(x**5), -pi*x**4/4 - pi*b**2*x**6/64 - pi*a*b*x**6/96 - pi*a**2*x**6/64 + O(x**7)]]) + + C2 = Matrix(4, 4, lambda i, j: Add(*(A[i,k]*B[k,j] for k in range(4)))) + + assert A*B == C == C2 + + +def test_power(): + raises(NonSquareMatrixError, lambda: Matrix((1, 2))**2) + + R = Rational + A = Matrix([[2, 3], [4, 5]]) + assert (A**-3)[:] == [R(-269)/8, R(153)/8, R(51)/2, R(-29)/2] + assert (A**5)[:] == [6140, 8097, 10796, 14237] + A = Matrix([[2, 1, 3], [4, 2, 4], [6, 12, 1]]) + assert (A**3)[:] == [290, 262, 251, 448, 440, 368, 702, 954, 433] + assert A**0 == eye(3) + assert A**1 == A + assert (Matrix([[2]]) ** 100)[0, 0] == 2**100 + assert eye(2)**10000000 == eye(2) + assert Matrix([[1, 2], [3, 4]])**Integer(2) == Matrix([[7, 10], [15, 22]]) + + A = Matrix([[33, 24], [48, 57]]) + assert (A**S.Half)[:] == [5, 2, 4, 7] + A = Matrix([[0, 4], [-1, 5]]) + assert (A**S.Half)**2 == A + + assert Matrix([[1, 0], [1, 1]])**S.Half == Matrix([[1, 0], [S.Half, 1]]) + assert Matrix([[1, 0], [1, 1]])**0.5 == Matrix([[1, 0], [0.5, 1]]) + from sympy.abc import n + assert Matrix([[1, a], [0, 1]])**n == Matrix([[1, a*n], [0, 1]]) + assert Matrix([[b, a], [0, b]])**n == Matrix([[b**n, a*b**(n-1)*n], [0, b**n]]) + assert Matrix([ + [a**n, a**(n - 1)*n, (a**n*n**2 - a**n*n)/(2*a**2)], + [ 0, a**n, a**(n - 1)*n], + [ 0, 0, a**n]]) + assert Matrix([[a, 1, 0], [0, a, 0], [0, 0, b]])**n == Matrix([ + [a**n, a**(n-1)*n, 0], + [0, a**n, 0], + [0, 0, b**n]]) + + A = Matrix([[1, 0], [1, 7]]) + assert A._matrix_pow_by_jordan_blocks(S(3)) == A._eval_pow_by_recursion(3) + A = Matrix([[2]]) + assert A**10 == Matrix([[2**10]]) == A._matrix_pow_by_jordan_blocks(S(10)) == \ + A._eval_pow_by_recursion(10) + + # testing a matrix that cannot be jordan blocked issue 11766 + m = Matrix([[3, 0, 0, 0, -3], [0, -3, -3, 0, 3], [0, 3, 0, 3, 0], [0, 0, 3, 0, 3], [3, 0, 0, 3, 0]]) + raises(MatrixError, lambda: m._matrix_pow_by_jordan_blocks(S(10))) + + # test issue 11964 + raises(MatrixError, lambda: Matrix([[1, 1], [3, 3]])._matrix_pow_by_jordan_blocks(S(-10))) + A = Matrix([[0, 1, 0], [0, 0, 1], [0, 0, 0]]) # Nilpotent jordan block size 3 + assert A**10.0 == Matrix([[0, 0, 0], [0, 0, 0], [0, 0, 0]]) + raises(ValueError, lambda: A**2.1) + raises(ValueError, lambda: A**Rational(3, 2)) + A = Matrix([[8, 1], [3, 2]]) + assert A**10.0 == Matrix([[1760744107, 272388050], [817164150, 126415807]]) + A = Matrix([[0, 0, 1], [0, 0, 1], [0, 0, 1]]) # Nilpotent jordan block size 1 + assert A**10.0 == Matrix([[0, 0, 1], [0, 0, 1], [0, 0, 1]]) + A = Matrix([[0, 1, 0], [0, 0, 1], [0, 0, 1]]) # Nilpotent jordan block size 2 + assert A**10.0 == Matrix([[0, 0, 1], [0, 0, 1], [0, 0, 1]]) + n = Symbol('n', integer=True) + assert isinstance(A**n, MatPow) + n = Symbol('n', integer=True, negative=True) + raises(ValueError, lambda: A**n) + n = Symbol('n', integer=True, nonnegative=True) + assert A**n == Matrix([ + [KroneckerDelta(0, n), KroneckerDelta(1, n), -KroneckerDelta(0, n) - KroneckerDelta(1, n) + 1], + [ 0, KroneckerDelta(0, n), 1 - KroneckerDelta(0, n)], + [ 0, 0, 1]]) + assert A**(n + 2) == Matrix([[0, 0, 1], [0, 0, 1], [0, 0, 1]]) + raises(ValueError, lambda: A**Rational(3, 2)) + A = Matrix([[0, 0, 1], [3, 0, 1], [4, 3, 1]]) + assert A**5.0 == Matrix([[168, 72, 89], [291, 144, 161], [572, 267, 329]]) + assert A**5.0 == A**5 + A = Matrix([[0, 1, 0],[-1, 0, 0],[0, 0, 0]]) + n = Symbol("n") + An = A**n + assert An.subs(n, 2).doit() == A**2 + raises(ValueError, lambda: An.subs(n, -2).doit()) + assert An * An == A**(2*n) + + # concretizing behavior for non-integer and complex powers + A = Matrix([[0,0,0],[0,0,0],[0,0,0]]) + n = Symbol('n', integer=True, positive=True) + assert A**n == A + n = Symbol('n', integer=True, nonnegative=True) + assert A**n == diag(0**n, 0**n, 0**n) + assert (A**n).subs(n, 0) == eye(3) + assert (A**n).subs(n, 1) == zeros(3) + A = Matrix ([[2,0,0],[0,2,0],[0,0,2]]) + assert A**2.1 == diag (2**2.1, 2**2.1, 2**2.1) + assert A**I == diag (2**I, 2**I, 2**I) + A = Matrix([[0, 1, 0], [0, 0, 1], [0, 0, 1]]) + raises(ValueError, lambda: A**2.1) + raises(ValueError, lambda: A**I) + A = Matrix([[S.Half, S.Half], [S.Half, S.Half]]) + assert A**S.Half == A + A = Matrix([[1, 1],[3, 3]]) + assert A**S.Half == Matrix ([[S.Half, S.Half], [3*S.Half, 3*S.Half]]) + + +def test_issue_17247_expression_blowup_1(): + M = Matrix([[1+x, 1-x], [1-x, 1+x]]) + with dotprodsimp(True): + assert M.exp().expand() == Matrix([ + [ (exp(2*x) + exp(2))/2, (-exp(2*x) + exp(2))/2], + [(-exp(2*x) + exp(2))/2, (exp(2*x) + exp(2))/2]]) + +def test_issue_17247_expression_blowup_2(): + M = Matrix([[1+x, 1-x], [1-x, 1+x]]) + with dotprodsimp(True): + P, J = M.jordan_form () + assert P*J*P.inv() + +def test_issue_17247_expression_blowup_3(): + M = Matrix([[1+x, 1-x], [1-x, 1+x]]) + with dotprodsimp(True): + assert M**100 == Matrix([ + [633825300114114700748351602688*x**100 + 633825300114114700748351602688, 633825300114114700748351602688 - 633825300114114700748351602688*x**100], + [633825300114114700748351602688 - 633825300114114700748351602688*x**100, 633825300114114700748351602688*x**100 + 633825300114114700748351602688]]) + +def test_issue_17247_expression_blowup_4(): +# This matrix takes extremely long on current master even with intermediate simplification so an abbreviated version is used. It is left here for test in case of future optimizations. +# M = Matrix(S('''[ +# [ -3/4, 45/32 - 37*I/16, 1/4 + I/2, -129/64 - 9*I/64, 1/4 - 5*I/16, 65/128 + 87*I/64, -9/32 - I/16, 183/256 - 97*I/128, 3/64 + 13*I/64, -23/32 - 59*I/256, 15/128 - 3*I/32, 19/256 + 551*I/1024], +# [-149/64 + 49*I/32, -177/128 - 1369*I/128, 125/64 + 87*I/64, -2063/256 + 541*I/128, 85/256 - 33*I/16, 805/128 + 2415*I/512, -219/128 + 115*I/256, 6301/4096 - 6609*I/1024, 119/128 + 143*I/128, -10879/2048 + 4343*I/4096, 129/256 - 549*I/512, 42533/16384 + 29103*I/8192], +# [ 1/2 - I, 9/4 + 55*I/16, -3/4, 45/32 - 37*I/16, 1/4 + I/2, -129/64 - 9*I/64, 1/4 - 5*I/16, 65/128 + 87*I/64, -9/32 - I/16, 183/256 - 97*I/128, 3/64 + 13*I/64, -23/32 - 59*I/256], +# [ -5/8 - 39*I/16, 2473/256 + 137*I/64, -149/64 + 49*I/32, -177/128 - 1369*I/128, 125/64 + 87*I/64, -2063/256 + 541*I/128, 85/256 - 33*I/16, 805/128 + 2415*I/512, -219/128 + 115*I/256, 6301/4096 - 6609*I/1024, 119/128 + 143*I/128, -10879/2048 + 4343*I/4096], +# [ 1 + I, -19/4 + 5*I/4, 1/2 - I, 9/4 + 55*I/16, -3/4, 45/32 - 37*I/16, 1/4 + I/2, -129/64 - 9*I/64, 1/4 - 5*I/16, 65/128 + 87*I/64, -9/32 - I/16, 183/256 - 97*I/128], +# [ 21/8 + I, -537/64 + 143*I/16, -5/8 - 39*I/16, 2473/256 + 137*I/64, -149/64 + 49*I/32, -177/128 - 1369*I/128, 125/64 + 87*I/64, -2063/256 + 541*I/128, 85/256 - 33*I/16, 805/128 + 2415*I/512, -219/128 + 115*I/256, 6301/4096 - 6609*I/1024], +# [ -2, 17/4 - 13*I/2, 1 + I, -19/4 + 5*I/4, 1/2 - I, 9/4 + 55*I/16, -3/4, 45/32 - 37*I/16, 1/4 + I/2, -129/64 - 9*I/64, 1/4 - 5*I/16, 65/128 + 87*I/64], +# [ 1/4 + 13*I/4, -825/64 - 147*I/32, 21/8 + I, -537/64 + 143*I/16, -5/8 - 39*I/16, 2473/256 + 137*I/64, -149/64 + 49*I/32, -177/128 - 1369*I/128, 125/64 + 87*I/64, -2063/256 + 541*I/128, 85/256 - 33*I/16, 805/128 + 2415*I/512], +# [ -4*I, 27/2 + 6*I, -2, 17/4 - 13*I/2, 1 + I, -19/4 + 5*I/4, 1/2 - I, 9/4 + 55*I/16, -3/4, 45/32 - 37*I/16, 1/4 + I/2, -129/64 - 9*I/64], +# [ 1/4 + 5*I/2, -23/8 - 57*I/16, 1/4 + 13*I/4, -825/64 - 147*I/32, 21/8 + I, -537/64 + 143*I/16, -5/8 - 39*I/16, 2473/256 + 137*I/64, -149/64 + 49*I/32, -177/128 - 1369*I/128, 125/64 + 87*I/64, -2063/256 + 541*I/128], +# [ -4, 9 - 5*I, -4*I, 27/2 + 6*I, -2, 17/4 - 13*I/2, 1 + I, -19/4 + 5*I/4, 1/2 - I, 9/4 + 55*I/16, -3/4, 45/32 - 37*I/16], +# [ -2*I, 119/8 + 29*I/4, 1/4 + 5*I/2, -23/8 - 57*I/16, 1/4 + 13*I/4, -825/64 - 147*I/32, 21/8 + I, -537/64 + 143*I/16, -5/8 - 39*I/16, 2473/256 + 137*I/64, -149/64 + 49*I/32, -177/128 - 1369*I/128]]''')) +# assert M**10 == Matrix([ +# [ 7*(-221393644768594642173548179825793834595 - 1861633166167425978847110897013541127952*I)/9671406556917033397649408, 15*(31670992489131684885307005100073928751695 + 10329090958303458811115024718207404523808*I)/77371252455336267181195264, 7*(-3710978679372178839237291049477017392703 + 1377706064483132637295566581525806894169*I)/19342813113834066795298816, (9727707023582419994616144751727760051598 - 59261571067013123836477348473611225724433*I)/9671406556917033397649408, (31896723509506857062605551443641668183707 + 54643444538699269118869436271152084599580*I)/38685626227668133590597632, (-2024044860947539028275487595741003997397402 + 130959428791783397562960461903698670485863*I)/309485009821345068724781056, 3*(26190251453797590396533756519358368860907 - 27221191754180839338002754608545400941638*I)/77371252455336267181195264, (1154643595139959842768960128434994698330461 + 3385496216250226964322872072260446072295634*I)/618970019642690137449562112, 3*(-31849347263064464698310044805285774295286 - 11877437776464148281991240541742691164309*I)/77371252455336267181195264, (4661330392283532534549306589669150228040221 - 4171259766019818631067810706563064103956871*I)/1237940039285380274899124224, (9598353794289061833850770474812760144506 + 358027153990999990968244906482319780943983*I)/309485009821345068724781056, (-9755135335127734571547571921702373498554177 - 4837981372692695195747379349593041939686540*I)/2475880078570760549798248448], +# [(-379516731607474268954110071392894274962069 - 422272153179747548473724096872271700878296*I)/77371252455336267181195264, (41324748029613152354787280677832014263339501 - 12715121258662668420833935373453570749288074*I)/1237940039285380274899124224, (-339216903907423793947110742819264306542397 + 494174755147303922029979279454787373566517*I)/77371252455336267181195264, (-18121350839962855576667529908850640619878381 - 37413012454129786092962531597292531089199003*I)/1237940039285380274899124224, (2489661087330511608618880408199633556675926 + 1137821536550153872137379935240732287260863*I)/309485009821345068724781056, (-136644109701594123227587016790354220062972119 + 110130123468183660555391413889600443583585272*I)/4951760157141521099596496896, (1488043981274920070468141664150073426459593 - 9691968079933445130866371609614474474327650*I)/1237940039285380274899124224, 27*(4636797403026872518131756991410164760195942 + 3369103221138229204457272860484005850416533*I)/4951760157141521099596496896, 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8167917972423946282513000869327525382672*I)/1208925819614629174706176, (-426393174084720190126376382194036323028924 + 180692224825757525982858693158209545430621*I)/9671406556917033397649408, (24588556702197802674765733448108154175535 - 45091766022876486566421953254051868331066*I)/4835703278458516698824704, (1872113939365285277373877183750416985089691 + 3030392393733212574744122057679633775773130*I)/77371252455336267181195264, (-222173405538046189185754954524429864167549 - 75193157893478637039381059488387511299116*I)/19342813113834066795298816, (2670821320766222522963689317316937579844558 - 2645837121493554383087981511645435472169191*I)/77371252455336267181195264, 5*(-2100110309556476773796963197283876204940 + 41957457246479840487980315496957337371937*I)/19342813113834066795298816, (-5733743755499084165382383818991531258980593 - 3328949988392698205198574824396695027195732*I)/154742504910672534362390528, (707827994365259025461378911159398206329247 - 265730616623227695108042528694302299777294*I)/77371252455336267181195264, (-1442501604682933002895864804409322823788319 + 11504137805563265043376405214378288793343879*I)/309485009821345068724781056, (-56130472299445561499538726459719629522285 - 61117552419727805035810982426639329818864*I)/9671406556917033397649408, (39053692321126079849054272431599539429908717 - 10209127700342570953247177602860848130710666*I)/1237940039285380274899124224]]) + M = Matrix(S('''[ + [ -3/4, 45/32 - 37*I/16, 1/4 + I/2, -129/64 - 9*I/64, 1/4 - 5*I/16, 65/128 + 87*I/64], + [-149/64 + 49*I/32, -177/128 - 1369*I/128, 125/64 + 87*I/64, -2063/256 + 541*I/128, 85/256 - 33*I/16, 805/128 + 2415*I/512], + [ 1/2 - I, 9/4 + 55*I/16, -3/4, 45/32 - 37*I/16, 1/4 + I/2, -129/64 - 9*I/64], + [ -5/8 - 39*I/16, 2473/256 + 137*I/64, -149/64 + 49*I/32, -177/128 - 1369*I/128, 125/64 + 87*I/64, -2063/256 + 541*I/128], + [ 1 + I, -19/4 + 5*I/4, 1/2 - I, 9/4 + 55*I/16, -3/4, 45/32 - 37*I/16], + [ 21/8 + I, -537/64 + 143*I/16, -5/8 - 39*I/16, 2473/256 + 137*I/64, -149/64 + 49*I/32, -177/128 - 1369*I/128]]''')) + with dotprodsimp(True): + assert M**10 == Matrix(S('''[ + [ 7369525394972778926719607798014571861/604462909807314587353088 - 229284202061790301477392339912557559*I/151115727451828646838272, -19704281515163975949388435612632058035/1208925819614629174706176 + 14319858347987648723768698170712102887*I/302231454903657293676544, -3623281909451783042932142262164941211/604462909807314587353088 - 6039240602494288615094338643452320495*I/604462909807314587353088, 109260497799140408739847239685705357695/2417851639229258349412352 - 7427566006564572463236368211555511431*I/2417851639229258349412352, -16095803767674394244695716092817006641/2417851639229258349412352 + 10336681897356760057393429626719177583*I/1208925819614629174706176, -42207883340488041844332828574359769743/2417851639229258349412352 - 182332262671671273188016400290188468499*I/4835703278458516698824704], + [50566491050825573392726324995779608259/1208925819614629174706176 - 90047007594468146222002432884052362145*I/2417851639229258349412352, 74273703462900000967697427843983822011/1208925819614629174706176 + 265947522682943571171988741842776095421*I/1208925819614629174706176, -116900341394390200556829767923360888429/2417851639229258349412352 - 53153263356679268823910621474478756845*I/2417851639229258349412352, 195407378023867871243426523048612490249/1208925819614629174706176 - 1242417915995360200584837585002906728929*I/9671406556917033397649408, -863597594389821970177319682495878193/302231454903657293676544 + 476936100741548328800725360758734300481*I/9671406556917033397649408, -3154451590535653853562472176601754835575/19342813113834066795298816 - 232909875490506237386836489998407329215*I/2417851639229258349412352], + [ -1715444997702484578716037230949868543/302231454903657293676544 + 5009695651321306866158517287924120777*I/302231454903657293676544, -30551582497996879620371947949342101301/604462909807314587353088 - 7632518367986526187139161303331519629*I/151115727451828646838272, 312680739924495153190604170938220575/18889465931478580854784 - 108664334509328818765959789219208459*I/75557863725914323419136, -14693696966703036206178521686918865509/604462909807314587353088 + 72345386220900843930147151999899692401*I/1208925819614629174706176, -8218872496728882299722894680635296519/1208925819614629174706176 - 16776782833358893712645864791807664983*I/1208925819614629174706176, 143237839169380078671242929143670635137/2417851639229258349412352 + 2883817094806115974748882735218469447*I/2417851639229258349412352], + [ 3087979417831061365023111800749855987/151115727451828646838272 + 34441942370802869368851419102423997089*I/604462909807314587353088, -148309181940158040917731426845476175667/604462909807314587353088 - 263987151804109387844966835369350904919*I/9671406556917033397649408, 50259518594816377378747711930008883165/1208925819614629174706176 - 95713974916869240305450001443767979653*I/2417851639229258349412352, 153466447023875527996457943521467271119/2417851639229258349412352 + 517285524891117105834922278517084871349*I/2417851639229258349412352, -29184653615412989036678939366291205575/604462909807314587353088 - 27551322282526322041080173287022121083*I/1208925819614629174706176, 196404220110085511863671393922447671649/1208925819614629174706176 - 1204712019400186021982272049902206202145*I/9671406556917033397649408], + [ -2632581805949645784625606590600098779/151115727451828646838272 - 589957435912868015140272627522612771*I/37778931862957161709568, 26727850893953715274702844733506310247/302231454903657293676544 - 10825791956782128799168209600694020481*I/302231454903657293676544, -1036348763702366164044671908440791295/151115727451828646838272 + 3188624571414467767868303105288107375*I/151115727451828646838272, -36814959939970644875593411585393242449/604462909807314587353088 - 18457555789119782404850043842902832647*I/302231454903657293676544, 12454491297984637815063964572803058647/604462909807314587353088 - 340489532842249733975074349495329171*I/302231454903657293676544, -19547211751145597258386735573258916681/604462909807314587353088 + 87299583775782199663414539883938008933*I/1208925819614629174706176], + [ -40281994229560039213253423262678393183/604462909807314587353088 - 2939986850065527327299273003299736641*I/604462909807314587353088, 331940684638052085845743020267462794181/2417851639229258349412352 - 284574901963624403933361315517248458969*I/1208925819614629174706176, 6453843623051745485064693628073010961/302231454903657293676544 + 36062454107479732681350914931391590957*I/604462909807314587353088, -147665869053634695632880753646441962067/604462909807314587353088 - 305987938660447291246597544085345123927*I/9671406556917033397649408, 107821369195275772166593879711259469423/2417851639229258349412352 - 11645185518211204108659001435013326687*I/302231454903657293676544, 64121228424717666402009446088588091619/1208925819614629174706176 + 265557133337095047883844369272389762133*I/1208925819614629174706176]]''')) + +def test_issue_17247_expression_blowup_5(): + M = Matrix(6, 6, lambda i, j: 1 + (-1)**(i+j)*I) + with dotprodsimp(True): + assert M.charpoly('x') == PurePoly(x**6 + (-6 - 6*I)*x**5 + 36*I*x**4, x, domain='EX') + +def test_issue_17247_expression_blowup_6(): + M = Matrix(8, 8, [x+i for i in range (64)]) + with dotprodsimp(True): + assert M.det('bareiss') == 0 + +def test_issue_17247_expression_blowup_7(): + M = Matrix(6, 6, lambda i, j: 1 + (-1)**(i+j)*I) + with dotprodsimp(True): + assert M.det('berkowitz') == 0 + +def test_issue_17247_expression_blowup_8(): + M = Matrix(8, 8, [x+i for i in range (64)]) + with dotprodsimp(True): + assert M.det('lu') == 0 + +def test_issue_17247_expression_blowup_9(): + M = Matrix(8, 8, [x+i for i in range (64)]) + with dotprodsimp(True): + assert M.rref() == (Matrix([ + [1, 0, -1, -2, -3, -4, -5, -6], + [0, 1, 2, 3, 4, 5, 6, 7], + [0, 0, 0, 0, 0, 0, 0, 0], + [0, 0, 0, 0, 0, 0, 0, 0], + [0, 0, 0, 0, 0, 0, 0, 0], + [0, 0, 0, 0, 0, 0, 0, 0], + [0, 0, 0, 0, 0, 0, 0, 0], + [0, 0, 0, 0, 0, 0, 0, 0]]), (0, 1)) + +def test_issue_17247_expression_blowup_10(): + M = Matrix(6, 6, lambda i, j: 1 + (-1)**(i+j)*I) + with dotprodsimp(True): + assert M.cofactor(0, 0) == 0 + +def test_issue_17247_expression_blowup_11(): + M = Matrix(6, 6, lambda i, j: 1 + (-1)**(i+j)*I) + with dotprodsimp(True): + assert M.cofactor_matrix() == Matrix(6, 6, [0]*36) + +def test_issue_17247_expression_blowup_12(): + M = Matrix(6, 6, lambda i, j: 1 + (-1)**(i+j)*I) + with dotprodsimp(True): + assert M.eigenvals() == {6: 1, 6*I: 1, 0: 4} + +def test_issue_17247_expression_blowup_13(): + M = Matrix([ + [ 0, 1 - x, x + 1, 1 - x], + [1 - x, x + 1, 0, x + 1], + [ 0, 1 - x, x + 1, 1 - x], + [ 0, 0, 1 - x, 0]]) + + ev = M.eigenvects() + assert ev[0] == (0, 2, [Matrix([0, -1, 0, 1])]) + assert ev[1][0] == x - sqrt(2)*(x - 1) + 1 + assert ev[1][1] == 1 + assert ev[1][2][0].expand(deep=False, numer=True) == Matrix([ + [(-x + sqrt(2)*(x - 1) - 1)/(x - 1)], + [-4*x/(x**2 - 2*x + 1) + (x + 1)*(x - sqrt(2)*(x - 1) + 1)/(x**2 - 2*x + 1)], + [(-x + sqrt(2)*(x - 1) - 1)/(x - 1)], + [1] + ]) + + assert ev[2][0] == x + sqrt(2)*(x - 1) + 1 + assert ev[2][1] == 1 + assert ev[2][2][0].expand(deep=False, numer=True) == Matrix([ + [(-x - sqrt(2)*(x - 1) - 1)/(x - 1)], + [-4*x/(x**2 - 2*x + 1) + (x + 1)*(x + sqrt(2)*(x - 1) + 1)/(x**2 - 2*x + 1)], + [(-x - sqrt(2)*(x - 1) - 1)/(x - 1)], + [1] + ]) + + +def test_issue_17247_expression_blowup_14(): + M = Matrix(8, 8, ([1+x, 1-x]*4 + [1-x, 1+x]*4)*4) + with dotprodsimp(True): + assert M.echelon_form() == Matrix([ + [x + 1, 1 - x, x + 1, 1 - x, x + 1, 1 - x, x + 1, 1 - x], + [ 0, 4*x, 0, 4*x, 0, 4*x, 0, 4*x], + [ 0, 0, 0, 0, 0, 0, 0, 0], + [ 0, 0, 0, 0, 0, 0, 0, 0], + [ 0, 0, 0, 0, 0, 0, 0, 0], + [ 0, 0, 0, 0, 0, 0, 0, 0], + [ 0, 0, 0, 0, 0, 0, 0, 0], + [ 0, 0, 0, 0, 0, 0, 0, 0]]) + +def test_issue_17247_expression_blowup_15(): + M = Matrix(8, 8, ([1+x, 1-x]*4 + [1-x, 1+x]*4)*4) + with dotprodsimp(True): + assert M.rowspace() == [Matrix([[x + 1, 1 - x, x + 1, 1 - x, x + 1, 1 - x, x + 1, 1 - x]]), Matrix([[0, 4*x, 0, 4*x, 0, 4*x, 0, 4*x]])] + +def test_issue_17247_expression_blowup_16(): + M = Matrix(8, 8, ([1+x, 1-x]*4 + [1-x, 1+x]*4)*4) + with dotprodsimp(True): + assert M.columnspace() == [Matrix([[x + 1],[1 - x],[x + 1],[1 - x],[x + 1],[1 - x],[x + 1],[1 - x]]), Matrix([[1 - x],[x + 1],[1 - x],[x + 1],[1 - x],[x + 1],[1 - x],[x + 1]])] + +def test_issue_17247_expression_blowup_17(): + M = Matrix(8, 8, [x+i for i in range (64)]) + with dotprodsimp(True): + assert M.nullspace() == [ + Matrix([[1],[-2],[1],[0],[0],[0],[0],[0]]), + Matrix([[2],[-3],[0],[1],[0],[0],[0],[0]]), + Matrix([[3],[-4],[0],[0],[1],[0],[0],[0]]), + Matrix([[4],[-5],[0],[0],[0],[1],[0],[0]]), + Matrix([[5],[-6],[0],[0],[0],[0],[1],[0]]), + Matrix([[6],[-7],[0],[0],[0],[0],[0],[1]])] + +def test_issue_17247_expression_blowup_18(): + M = Matrix(6, 6, ([1+x, 1-x]*3 + [1-x, 1+x]*3)*3) + with dotprodsimp(True): + assert not M.is_nilpotent() + +def test_issue_17247_expression_blowup_19(): + M = Matrix(S('''[ + [ -3/4, 0, 1/4 + I/2, 0], + [ 0, -177/128 - 1369*I/128, 0, -2063/256 + 541*I/128], + [ 1/2 - I, 0, 0, 0], + [ 0, 0, 0, -177/128 - 1369*I/128]]''')) + with dotprodsimp(True): + assert not M.is_diagonalizable() + +def test_issue_17247_expression_blowup_20(): + M = Matrix([ + [x + 1, 1 - x, 0, 0], + [1 - x, x + 1, 0, x + 1], + [ 0, 1 - x, x + 1, 0], + [ 0, 0, 0, x + 1]]) + with dotprodsimp(True): + assert M.diagonalize() == (Matrix([ + [1, 1, 0, (x + 1)/(x - 1)], + [1, -1, 0, 0], + [1, 1, 1, 0], + [0, 0, 0, 1]]), + Matrix([ + [2, 0, 0, 0], + [0, 2*x, 0, 0], + [0, 0, x + 1, 0], + [0, 0, 0, x + 1]])) + +def test_issue_17247_expression_blowup_21(): + M = Matrix(S('''[ + [ -3/4, 45/32 - 37*I/16, 0, 0], + [-149/64 + 49*I/32, -177/128 - 1369*I/128, 0, -2063/256 + 541*I/128], + [ 0, 9/4 + 55*I/16, 2473/256 + 137*I/64, 0], + [ 0, 0, 0, -177/128 - 1369*I/128]]''')) + with dotprodsimp(True): + assert M.inv(method='GE') == Matrix(S('''[ + [-26194832/3470993 - 31733264*I/3470993, 156352/3470993 + 10325632*I/3470993, 0, -7741283181072/3306971225785 + 2999007604624*I/3306971225785], + [4408224/3470993 - 9675328*I/3470993, -2422272/3470993 + 1523712*I/3470993, 0, -1824666489984/3306971225785 - 1401091949952*I/3306971225785], + [-26406945676288/22270005630769 + 10245925485056*I/22270005630769, 7453523312640/22270005630769 + 1601616519168*I/22270005630769, 633088/6416033 - 140288*I/6416033, 872209227109521408/21217636514687010905 + 6066405081802389504*I/21217636514687010905], + [0, 0, 0, -11328/952745 + 87616*I/952745]]''')) + +def test_issue_17247_expression_blowup_22(): + M = Matrix(S('''[ + [ -3/4, 45/32 - 37*I/16, 0, 0], + [-149/64 + 49*I/32, -177/128 - 1369*I/128, 0, -2063/256 + 541*I/128], + [ 0, 9/4 + 55*I/16, 2473/256 + 137*I/64, 0], + [ 0, 0, 0, -177/128 - 1369*I/128]]''')) + with dotprodsimp(True): + assert M.inv(method='LU') == Matrix(S('''[ + [-26194832/3470993 - 31733264*I/3470993, 156352/3470993 + 10325632*I/3470993, 0, -7741283181072/3306971225785 + 2999007604624*I/3306971225785], + [4408224/3470993 - 9675328*I/3470993, -2422272/3470993 + 1523712*I/3470993, 0, -1824666489984/3306971225785 - 1401091949952*I/3306971225785], + [-26406945676288/22270005630769 + 10245925485056*I/22270005630769, 7453523312640/22270005630769 + 1601616519168*I/22270005630769, 633088/6416033 - 140288*I/6416033, 872209227109521408/21217636514687010905 + 6066405081802389504*I/21217636514687010905], + [0, 0, 0, -11328/952745 + 87616*I/952745]]''')) + +def test_issue_17247_expression_blowup_23(): + M = Matrix(S('''[ + [ -3/4, 45/32 - 37*I/16, 0, 0], + [-149/64 + 49*I/32, -177/128 - 1369*I/128, 0, -2063/256 + 541*I/128], + [ 0, 9/4 + 55*I/16, 2473/256 + 137*I/64, 0], + [ 0, 0, 0, -177/128 - 1369*I/128]]''')) + with dotprodsimp(True): + assert M.inv(method='ADJ').expand() == Matrix(S('''[ + [-26194832/3470993 - 31733264*I/3470993, 156352/3470993 + 10325632*I/3470993, 0, -7741283181072/3306971225785 + 2999007604624*I/3306971225785], + [4408224/3470993 - 9675328*I/3470993, -2422272/3470993 + 1523712*I/3470993, 0, -1824666489984/3306971225785 - 1401091949952*I/3306971225785], + [-26406945676288/22270005630769 + 10245925485056*I/22270005630769, 7453523312640/22270005630769 + 1601616519168*I/22270005630769, 633088/6416033 - 140288*I/6416033, 872209227109521408/21217636514687010905 + 6066405081802389504*I/21217636514687010905], + [0, 0, 0, -11328/952745 + 87616*I/952745]]''')) + +def test_issue_17247_expression_blowup_24(): + M = SparseMatrix(S('''[ + [ -3/4, 45/32 - 37*I/16, 0, 0], + [-149/64 + 49*I/32, -177/128 - 1369*I/128, 0, -2063/256 + 541*I/128], + [ 0, 9/4 + 55*I/16, 2473/256 + 137*I/64, 0], + [ 0, 0, 0, -177/128 - 1369*I/128]]''')) + with dotprodsimp(True): + assert M.inv(method='CH') == Matrix(S('''[ + [-26194832/3470993 - 31733264*I/3470993, 156352/3470993 + 10325632*I/3470993, 0, -7741283181072/3306971225785 + 2999007604624*I/3306971225785], + [4408224/3470993 - 9675328*I/3470993, -2422272/3470993 + 1523712*I/3470993, 0, -1824666489984/3306971225785 - 1401091949952*I/3306971225785], + [-26406945676288/22270005630769 + 10245925485056*I/22270005630769, 7453523312640/22270005630769 + 1601616519168*I/22270005630769, 633088/6416033 - 140288*I/6416033, 872209227109521408/21217636514687010905 + 6066405081802389504*I/21217636514687010905], + [0, 0, 0, -11328/952745 + 87616*I/952745]]''')) + +def test_issue_17247_expression_blowup_25(): + M = SparseMatrix(S('''[ + [ -3/4, 45/32 - 37*I/16, 0, 0], + [-149/64 + 49*I/32, -177/128 - 1369*I/128, 0, -2063/256 + 541*I/128], + [ 0, 9/4 + 55*I/16, 2473/256 + 137*I/64, 0], + [ 0, 0, 0, -177/128 - 1369*I/128]]''')) + with dotprodsimp(True): + assert M.inv(method='LDL') == Matrix(S('''[ + [-26194832/3470993 - 31733264*I/3470993, 156352/3470993 + 10325632*I/3470993, 0, -7741283181072/3306971225785 + 2999007604624*I/3306971225785], + [4408224/3470993 - 9675328*I/3470993, -2422272/3470993 + 1523712*I/3470993, 0, -1824666489984/3306971225785 - 1401091949952*I/3306971225785], + [-26406945676288/22270005630769 + 10245925485056*I/22270005630769, 7453523312640/22270005630769 + 1601616519168*I/22270005630769, 633088/6416033 - 140288*I/6416033, 872209227109521408/21217636514687010905 + 6066405081802389504*I/21217636514687010905], + [0, 0, 0, -11328/952745 + 87616*I/952745]]''')) + +def test_issue_17247_expression_blowup_26(): + M = Matrix(S('''[ + [ -3/4, 45/32 - 37*I/16, 1/4 + I/2, -129/64 - 9*I/64, 1/4 - 5*I/16, 65/128 + 87*I/64, -9/32 - I/16, 183/256 - 97*I/128], + [-149/64 + 49*I/32, -177/128 - 1369*I/128, 125/64 + 87*I/64, -2063/256 + 541*I/128, 85/256 - 33*I/16, 805/128 + 2415*I/512, -219/128 + 115*I/256, 6301/4096 - 6609*I/1024], + [ 1/2 - I, 9/4 + 55*I/16, -3/4, 45/32 - 37*I/16, 1/4 + I/2, -129/64 - 9*I/64, 1/4 - 5*I/16, 65/128 + 87*I/64], + [ -5/8 - 39*I/16, 2473/256 + 137*I/64, -149/64 + 49*I/32, -177/128 - 1369*I/128, 125/64 + 87*I/64, -2063/256 + 541*I/128, 85/256 - 33*I/16, 805/128 + 2415*I/512], + [ 1 + I, -19/4 + 5*I/4, 1/2 - I, 9/4 + 55*I/16, -3/4, 45/32 - 37*I/16, 1/4 + I/2, -129/64 - 9*I/64], + [ 21/8 + I, -537/64 + 143*I/16, -5/8 - 39*I/16, 2473/256 + 137*I/64, -149/64 + 49*I/32, -177/128 - 1369*I/128, 125/64 + 87*I/64, -2063/256 + 541*I/128], + [ -2, 17/4 - 13*I/2, 1 + I, -19/4 + 5*I/4, 1/2 - I, 9/4 + 55*I/16, -3/4, 45/32 - 37*I/16], + [ 1/4 + 13*I/4, -825/64 - 147*I/32, 21/8 + I, -537/64 + 143*I/16, -5/8 - 39*I/16, 2473/256 + 137*I/64, -149/64 + 49*I/32, -177/128 - 1369*I/128]]''')) + with dotprodsimp(True): + assert M.rank() == 4 + +def test_issue_17247_expression_blowup_27(): + M = Matrix([ + [ 0, 1 - x, x + 1, 1 - x], + [1 - x, x + 1, 0, x + 1], + [ 0, 1 - x, x + 1, 1 - x], + [ 0, 0, 1 - x, 0]]) + with dotprodsimp(True): + P, J = M.jordan_form() + assert P.expand() == Matrix(S('''[ + [ 0, 4*x/(x**2 - 2*x + 1), -(-17*x**4 + 12*sqrt(2)*x**4 - 4*sqrt(2)*x**3 + 6*x**3 - 6*x - 4*sqrt(2)*x + 12*sqrt(2) + 17)/(-7*x**4 + 5*sqrt(2)*x**4 - 6*sqrt(2)*x**3 + 8*x**3 - 2*x**2 + 8*x + 6*sqrt(2)*x - 5*sqrt(2) - 7), -(12*sqrt(2)*x**4 + 17*x**4 - 6*x**3 - 4*sqrt(2)*x**3 - 4*sqrt(2)*x + 6*x - 17 + 12*sqrt(2))/(7*x**4 + 5*sqrt(2)*x**4 - 6*sqrt(2)*x**3 - 8*x**3 + 2*x**2 - 8*x + 6*sqrt(2)*x - 5*sqrt(2) + 7)], + [x - 1, x/(x - 1) + 1/(x - 1), (-7*x**3 + 5*sqrt(2)*x**3 - x**2 + sqrt(2)*x**2 - sqrt(2)*x - x - 5*sqrt(2) - 7)/(-3*x**3 + 2*sqrt(2)*x**3 - 2*sqrt(2)*x**2 + 3*x**2 + 2*sqrt(2)*x + 3*x - 3 - 2*sqrt(2)), (7*x**3 + 5*sqrt(2)*x**3 + x**2 + sqrt(2)*x**2 - sqrt(2)*x + x - 5*sqrt(2) + 7)/(2*sqrt(2)*x**3 + 3*x**3 - 3*x**2 - 2*sqrt(2)*x**2 - 3*x + 2*sqrt(2)*x - 2*sqrt(2) + 3)], + [ 0, 1, -(-3*x**2 + 2*sqrt(2)*x**2 + 2*x - 3 - 2*sqrt(2))/(-x**2 + sqrt(2)*x**2 - 2*sqrt(2)*x + 1 + sqrt(2)), -(2*sqrt(2)*x**2 + 3*x**2 - 2*x - 2*sqrt(2) + 3)/(x**2 + sqrt(2)*x**2 - 2*sqrt(2)*x - 1 + sqrt(2))], + [1 - x, 0, 1, 1]]''')).expand() + assert J == Matrix(S('''[ + [0, 1, 0, 0], + [0, 0, 0, 0], + [0, 0, x - sqrt(2)*(x - 1) + 1, 0], + [0, 0, 0, x + sqrt(2)*(x - 1) + 1]]''')) + +def test_issue_17247_expression_blowup_28(): + M = Matrix(S('''[ + [ -3/4, 45/32 - 37*I/16, 0, 0], + [-149/64 + 49*I/32, -177/128 - 1369*I/128, 0, -2063/256 + 541*I/128], + [ 0, 9/4 + 55*I/16, 2473/256 + 137*I/64, 0], + [ 0, 0, 0, -177/128 - 1369*I/128]]''')) + with dotprodsimp(True): + assert M.singular_values() == S('''[ + sqrt(14609315/131072 + sqrt(64789115132571/2147483648 - 2*(25895222463957462655758224991455280215303/633825300114114700748351602688 + sqrt(1213909058710955930446995195883114969038524625997915131236390724543989220134670)*I/22282920707136844948184236032)**(1/3) + 76627253330829751075/(35184372088832*sqrt(64789115132571/4294967296 + 3546944054712886603889144627/(110680464442257309696*(25895222463957462655758224991455280215303/633825300114114700748351602688 + sqrt(1213909058710955930446995195883114969038524625997915131236390724543989220134670)*I/22282920707136844948184236032)**(1/3)) + 2*(25895222463957462655758224991455280215303/633825300114114700748351602688 + sqrt(1213909058710955930446995195883114969038524625997915131236390724543989220134670)*I/22282920707136844948184236032)**(1/3))) - 3546944054712886603889144627/(110680464442257309696*(25895222463957462655758224991455280215303/633825300114114700748351602688 + sqrt(1213909058710955930446995195883114969038524625997915131236390724543989220134670)*I/22282920707136844948184236032)**(1/3)))/2 + sqrt(64789115132571/4294967296 + 3546944054712886603889144627/(110680464442257309696*(25895222463957462655758224991455280215303/633825300114114700748351602688 + sqrt(1213909058710955930446995195883114969038524625997915131236390724543989220134670)*I/22282920707136844948184236032)**(1/3)) + 2*(25895222463957462655758224991455280215303/633825300114114700748351602688 + sqrt(1213909058710955930446995195883114969038524625997915131236390724543989220134670)*I/22282920707136844948184236032)**(1/3))/2), + sqrt(14609315/131072 - sqrt(64789115132571/2147483648 - 2*(25895222463957462655758224991455280215303/633825300114114700748351602688 + sqrt(1213909058710955930446995195883114969038524625997915131236390724543989220134670)*I/22282920707136844948184236032)**(1/3) + 76627253330829751075/(35184372088832*sqrt(64789115132571/4294967296 + 3546944054712886603889144627/(110680464442257309696*(25895222463957462655758224991455280215303/633825300114114700748351602688 + sqrt(1213909058710955930446995195883114969038524625997915131236390724543989220134670)*I/22282920707136844948184236032)**(1/3)) + 2*(25895222463957462655758224991455280215303/633825300114114700748351602688 + sqrt(1213909058710955930446995195883114969038524625997915131236390724543989220134670)*I/22282920707136844948184236032)**(1/3))) - 3546944054712886603889144627/(110680464442257309696*(25895222463957462655758224991455280215303/633825300114114700748351602688 + sqrt(1213909058710955930446995195883114969038524625997915131236390724543989220134670)*I/22282920707136844948184236032)**(1/3)))/2 + sqrt(64789115132571/4294967296 + 3546944054712886603889144627/(110680464442257309696*(25895222463957462655758224991455280215303/633825300114114700748351602688 + sqrt(1213909058710955930446995195883114969038524625997915131236390724543989220134670)*I/22282920707136844948184236032)**(1/3)) + 2*(25895222463957462655758224991455280215303/633825300114114700748351602688 + sqrt(1213909058710955930446995195883114969038524625997915131236390724543989220134670)*I/22282920707136844948184236032)**(1/3))/2), + sqrt(14609315/131072 - sqrt(64789115132571/4294967296 + 3546944054712886603889144627/(110680464442257309696*(25895222463957462655758224991455280215303/633825300114114700748351602688 + sqrt(1213909058710955930446995195883114969038524625997915131236390724543989220134670)*I/22282920707136844948184236032)**(1/3)) + 2*(25895222463957462655758224991455280215303/633825300114114700748351602688 + sqrt(1213909058710955930446995195883114969038524625997915131236390724543989220134670)*I/22282920707136844948184236032)**(1/3))/2 + sqrt(64789115132571/2147483648 - 2*(25895222463957462655758224991455280215303/633825300114114700748351602688 + sqrt(1213909058710955930446995195883114969038524625997915131236390724543989220134670)*I/22282920707136844948184236032)**(1/3) - 76627253330829751075/(35184372088832*sqrt(64789115132571/4294967296 + 3546944054712886603889144627/(110680464442257309696*(25895222463957462655758224991455280215303/633825300114114700748351602688 + sqrt(1213909058710955930446995195883114969038524625997915131236390724543989220134670)*I/22282920707136844948184236032)**(1/3)) + 2*(25895222463957462655758224991455280215303/633825300114114700748351602688 + sqrt(1213909058710955930446995195883114969038524625997915131236390724543989220134670)*I/22282920707136844948184236032)**(1/3))) - 3546944054712886603889144627/(110680464442257309696*(25895222463957462655758224991455280215303/633825300114114700748351602688 + sqrt(1213909058710955930446995195883114969038524625997915131236390724543989220134670)*I/22282920707136844948184236032)**(1/3)))/2), + sqrt(14609315/131072 - sqrt(64789115132571/4294967296 + 3546944054712886603889144627/(110680464442257309696*(25895222463957462655758224991455280215303/633825300114114700748351602688 + sqrt(1213909058710955930446995195883114969038524625997915131236390724543989220134670)*I/22282920707136844948184236032)**(1/3)) + 2*(25895222463957462655758224991455280215303/633825300114114700748351602688 + sqrt(1213909058710955930446995195883114969038524625997915131236390724543989220134670)*I/22282920707136844948184236032)**(1/3))/2 - sqrt(64789115132571/2147483648 - 2*(25895222463957462655758224991455280215303/633825300114114700748351602688 + sqrt(1213909058710955930446995195883114969038524625997915131236390724543989220134670)*I/22282920707136844948184236032)**(1/3) - 76627253330829751075/(35184372088832*sqrt(64789115132571/4294967296 + 3546944054712886603889144627/(110680464442257309696*(25895222463957462655758224991455280215303/633825300114114700748351602688 + sqrt(1213909058710955930446995195883114969038524625997915131236390724543989220134670)*I/22282920707136844948184236032)**(1/3)) + 2*(25895222463957462655758224991455280215303/633825300114114700748351602688 + sqrt(1213909058710955930446995195883114969038524625997915131236390724543989220134670)*I/22282920707136844948184236032)**(1/3))) - 3546944054712886603889144627/(110680464442257309696*(25895222463957462655758224991455280215303/633825300114114700748351602688 + sqrt(1213909058710955930446995195883114969038524625997915131236390724543989220134670)*I/22282920707136844948184236032)**(1/3)))/2)]''') + + +def test_issue_16823(): + # This still needs to be fixed if not using dotprodsimp. + M = Matrix(S('''[ + [1+I,-19/4+5/4*I,1/2-I,9/4+55/16*I,-3/4,45/32-37/16*I,1/4+1/2*I,-129/64-9/64*I,1/4-5/16*I,65/128+87/64*I,-9/32-1/16*I,183/256-97/128*I,3/64+13/64*I,-23/32-59/256*I,15/128-3/32*I,19/256+551/1024*I], + [21/8+I,-537/64+143/16*I,-5/8-39/16*I,2473/256+137/64*I,-149/64+49/32*I,-177/128-1369/128*I,125/64+87/64*I,-2063/256+541/128*I,85/256-33/16*I,805/128+2415/512*I,-219/128+115/256*I,6301/4096-6609/1024*I,119/128+143/128*I,-10879/2048+4343/4096*I,129/256-549/512*I,42533/16384+29103/8192*I], + [-2,17/4-13/2*I,1+I,-19/4+5/4*I,1/2-I,9/4+55/16*I,-3/4,45/32-37/16*I,1/4+1/2*I,-129/64-9/64*I,1/4-5/16*I,65/128+87/64*I,-9/32-1/16*I,183/256-97/128*I,3/64+13/64*I,-23/32-59/256*I], + [1/4+13/4*I,-825/64-147/32*I,21/8+I,-537/64+143/16*I,-5/8-39/16*I,2473/256+137/64*I,-149/64+49/32*I,-177/128-1369/128*I,125/64+87/64*I,-2063/256+541/128*I,85/256-33/16*I,805/128+2415/512*I,-219/128+115/256*I,6301/4096-6609/1024*I,119/128+143/128*I,-10879/2048+4343/4096*I], + [-4*I,27/2+6*I,-2,17/4-13/2*I,1+I,-19/4+5/4*I,1/2-I,9/4+55/16*I,-3/4,45/32-37/16*I,1/4+1/2*I,-129/64-9/64*I,1/4-5/16*I,65/128+87/64*I,-9/32-1/16*I,183/256-97/128*I], + [1/4+5/2*I,-23/8-57/16*I,1/4+13/4*I,-825/64-147/32*I,21/8+I,-537/64+143/16*I,-5/8-39/16*I,2473/256+137/64*I,-149/64+49/32*I,-177/128-1369/128*I,125/64+87/64*I,-2063/256+541/128*I,85/256-33/16*I,805/128+2415/512*I,-219/128+115/256*I,6301/4096-6609/1024*I], + [-4,9-5*I,-4*I,27/2+6*I,-2,17/4-13/2*I,1+I,-19/4+5/4*I,1/2-I,9/4+55/16*I,-3/4,45/32-37/16*I,1/4+1/2*I,-129/64-9/64*I,1/4-5/16*I,65/128+87/64*I], + [-2*I,119/8+29/4*I,1/4+5/2*I,-23/8-57/16*I,1/4+13/4*I,-825/64-147/32*I,21/8+I,-537/64+143/16*I,-5/8-39/16*I,2473/256+137/64*I,-149/64+49/32*I,-177/128-1369/128*I,125/64+87/64*I,-2063/256+541/128*I,85/256-33/16*I,805/128+2415/512*I], + [0,-6,-4,9-5*I,-4*I,27/2+6*I,-2,17/4-13/2*I,1+I,-19/4+5/4*I,1/2-I,9/4+55/16*I,-3/4,45/32-37/16*I,1/4+1/2*I,-129/64-9/64*I], + [1,-9/4+3*I,-2*I,119/8+29/4*I,1/4+5/2*I,-23/8-57/16*I,1/4+13/4*I,-825/64-147/32*I,21/8+I,-537/64+143/16*I,-5/8-39/16*I,2473/256+137/64*I,-149/64+49/32*I,-177/128-1369/128*I,125/64+87/64*I,-2063/256+541/128*I], + [0,-4*I,0,-6,-4,9-5*I,-4*I,27/2+6*I,-2,17/4-13/2*I,1+I,-19/4+5/4*I,1/2-I,9/4+55/16*I,-3/4,45/32-37/16*I], + [0,1/4+1/2*I,1,-9/4+3*I,-2*I,119/8+29/4*I,1/4+5/2*I,-23/8-57/16*I,1/4+13/4*I,-825/64-147/32*I,21/8+I,-537/64+143/16*I,-5/8-39/16*I,2473/256+137/64*I,-149/64+49/32*I,-177/128-1369/128*I]]''')) + with dotprodsimp(True): + assert M.rank() == 8 + + +def test_issue_18531(): + # solve_linear_system still needs fixing but the rref works. + M = Matrix([ + [1, 1, 1, 1, 1, 0, 1, 0, 0], + [1 + sqrt(2), -1 + sqrt(2), 1 - sqrt(2), -sqrt(2) - 1, 1, 1, -1, 1, 1], + [-5 + 2*sqrt(2), -5 - 2*sqrt(2), -5 - 2*sqrt(2), -5 + 2*sqrt(2), -7, 2, -7, -2, 0], + [-3*sqrt(2) - 1, 1 - 3*sqrt(2), -1 + 3*sqrt(2), 1 + 3*sqrt(2), -7, -5, 7, -5, 3], + [7 - 4*sqrt(2), 4*sqrt(2) + 7, 4*sqrt(2) + 7, 7 - 4*sqrt(2), 7, -12, 7, 12, 0], + [-1 + 3*sqrt(2), 1 + 3*sqrt(2), -3*sqrt(2) - 1, 1 - 3*sqrt(2), 7, -5, -7, -5, 3], + [-3 + 2*sqrt(2), -3 - 2*sqrt(2), -3 - 2*sqrt(2), -3 + 2*sqrt(2), -1, 2, -1, -2, 0], + [1 - sqrt(2), -sqrt(2) - 1, 1 + sqrt(2), -1 + sqrt(2), -1, 1, 1, 1, 1] + ]) + with dotprodsimp(True): + assert M.rref() == (Matrix([ + [1, 0, 0, 0, 0, 0, 0, 0, S(1)/2], + [0, 1, 0, 0, 0, 0, 0, 0, -S(1)/2], + [0, 0, 1, 0, 0, 0, 0, 0, S(1)/2], + [0, 0, 0, 1, 0, 0, 0, 0, -S(1)/2], + [0, 0, 0, 0, 1, 0, 0, 0, 0], + [0, 0, 0, 0, 0, 1, 0, 0, -S(1)/2], + [0, 0, 0, 0, 0, 0, 1, 0, 0], + [0, 0, 0, 0, 0, 0, 0, 1, -S(1)/2]]), (0, 1, 2, 3, 4, 5, 6, 7)) + + +def test_creation(): + raises(ValueError, lambda: Matrix(5, 5, range(20))) + raises(ValueError, lambda: Matrix(5, -1, [])) + raises(IndexError, lambda: Matrix((1, 2))[2]) + with raises(IndexError): + Matrix((1, 2))[3] = 5 + + assert Matrix() == Matrix([]) == Matrix(0, 0, []) + assert Matrix([[]]) == Matrix(1, 0, []) + assert Matrix([[], []]) == Matrix(2, 0, []) + + # anything used to be allowed in a matrix + with warns_deprecated_sympy(): + assert Matrix([[[1], (2,)]]).tolist() == [[[1], (2,)]] + with warns_deprecated_sympy(): + assert Matrix([[[1], (2,)]]).T.tolist() == [[[1]], [(2,)]] + M = Matrix([[0]]) + with warns_deprecated_sympy(): + M[0, 0] = S.EmptySet + + a = Matrix([[x, 0], [0, 0]]) + m = a + assert m.cols == m.rows + assert m.cols == 2 + assert m[:] == [x, 0, 0, 0] + + b = Matrix(2, 2, [x, 0, 0, 0]) + m = b + assert m.cols == m.rows + assert m.cols == 2 + assert m[:] == [x, 0, 0, 0] + + assert a == b + + assert Matrix(b) == b + + c23 = Matrix(2, 3, range(1, 7)) + c13 = Matrix(1, 3, range(7, 10)) + c = Matrix([c23, c13]) + assert c.cols == 3 + assert c.rows == 3 + assert c[:] == [1, 2, 3, 4, 5, 6, 7, 8, 9] + + assert Matrix(eye(2)) == eye(2) + assert ImmutableMatrix(ImmutableMatrix(eye(2))) == ImmutableMatrix(eye(2)) + assert ImmutableMatrix(c) == c.as_immutable() + assert Matrix(ImmutableMatrix(c)) == ImmutableMatrix(c).as_mutable() + + assert c is not Matrix(c) + + dat = [[ones(3,2), ones(3,3)*2], [ones(2,3)*3, ones(2,2)*4]] + M = Matrix(dat) + assert M == Matrix([ + [1, 1, 2, 2, 2], + [1, 1, 2, 2, 2], + [1, 1, 2, 2, 2], + [3, 3, 3, 4, 4], + [3, 3, 3, 4, 4]]) + assert M.tolist() != dat + # keep block form if evaluate=False + assert Matrix(dat, evaluate=False).tolist() == dat + A = MatrixSymbol("A", 2, 2) + dat = [ones(2), A] + assert Matrix(dat) == Matrix([ + [ 1, 1], + [ 1, 1], + [A[0, 0], A[0, 1]], + [A[1, 0], A[1, 1]]]) + with warns_deprecated_sympy(): + assert Matrix(dat, evaluate=False).tolist() == [[i] for i in dat] + + # 0-dim tolerance + assert Matrix([ones(2), ones(0)]) == Matrix([ones(2)]) + raises(ValueError, lambda: Matrix([ones(2), ones(0, 3)])) + raises(ValueError, lambda: Matrix([ones(2), ones(3, 0)])) + + # mix of Matrix and iterable + M = Matrix([[1, 2], [3, 4]]) + M2 = Matrix([M, (5, 6)]) + assert M2 == Matrix([[1, 2], [3, 4], [5, 6]]) + + +def test_irregular_block(): + assert Matrix.irregular(3, ones(2,1), ones(3,3)*2, ones(2,2)*3, + ones(1,1)*4, ones(2,2)*5, ones(1,2)*6, ones(1,2)*7) == Matrix([ + [1, 2, 2, 2, 3, 3], + [1, 2, 2, 2, 3, 3], + [4, 2, 2, 2, 5, 5], + [6, 6, 7, 7, 5, 5]]) + + +def test_tolist(): + lst = [[S.One, S.Half, x*y, S.Zero], [x, y, z, x**2], [y, -S.One, z*x, 3]] + m = Matrix(lst) + assert m.tolist() == lst + + +def test_as_mutable(): + assert zeros(0, 3).as_mutable() == zeros(0, 3) + assert zeros(0, 3).as_immutable() == ImmutableMatrix(zeros(0, 3)) + assert zeros(3, 0).as_immutable() == ImmutableMatrix(zeros(3, 0)) + + +def test_slicing(): + m0 = eye(4) + assert m0[:3, :3] == eye(3) + assert m0[2:4, 0:2] == zeros(2) + + m1 = Matrix(3, 3, lambda i, j: i + j) + assert m1[0, :] == Matrix(1, 3, (0, 1, 2)) + assert m1[1:3, 1] == Matrix(2, 1, (2, 3)) + + m2 = Matrix([[0, 1, 2, 3], [4, 5, 6, 7], [8, 9, 10, 11], [12, 13, 14, 15]]) + assert m2[:, -1] == Matrix(4, 1, [3, 7, 11, 15]) + assert m2[-2:, :] == Matrix([[8, 9, 10, 11], [12, 13, 14, 15]]) + + +def test_submatrix_assignment(): + m = zeros(4) + m[2:4, 2:4] = eye(2) + assert m == Matrix(((0, 0, 0, 0), + (0, 0, 0, 0), + (0, 0, 1, 0), + (0, 0, 0, 1))) + m[:2, :2] = eye(2) + assert m == eye(4) + m[:, 0] = Matrix(4, 1, (1, 2, 3, 4)) + assert m == Matrix(((1, 0, 0, 0), + (2, 1, 0, 0), + (3, 0, 1, 0), + (4, 0, 0, 1))) + m[:, :] = zeros(4) + assert m == zeros(4) + m[:, :] = [(1, 2, 3, 4), (5, 6, 7, 8), (9, 10, 11, 12), (13, 14, 15, 16)] + assert m == Matrix(((1, 2, 3, 4), + (5, 6, 7, 8), + (9, 10, 11, 12), + (13, 14, 15, 16))) + m[:2, 0] = [0, 0] + assert m == Matrix(((0, 2, 3, 4), + (0, 6, 7, 8), + (9, 10, 11, 12), + (13, 14, 15, 16))) + + +def test_extract(): + m = Matrix(4, 3, lambda i, j: i*3 + j) + assert m.extract([0, 1, 3], [0, 1]) == Matrix(3, 2, [0, 1, 3, 4, 9, 10]) + assert m.extract([0, 3], [0, 0, 2]) == Matrix(2, 3, [0, 0, 2, 9, 9, 11]) + assert m.extract(range(4), range(3)) == m + raises(IndexError, lambda: m.extract([4], [0])) + raises(IndexError, lambda: m.extract([0], [3])) + + +def test_reshape(): + m0 = eye(3) + assert m0.reshape(1, 9) == Matrix(1, 9, (1, 0, 0, 0, 1, 0, 0, 0, 1)) + m1 = Matrix(3, 4, lambda i, j: i + j) + assert m1.reshape( + 4, 3) == Matrix(((0, 1, 2), (3, 1, 2), (3, 4, 2), (3, 4, 5))) + assert m1.reshape(2, 6) == Matrix(((0, 1, 2, 3, 1, 2), (3, 4, 2, 3, 4, 5))) + + +def test_applyfunc(): + m0 = eye(3) + assert m0.applyfunc(lambda x: 2*x) == eye(3)*2 + assert m0.applyfunc(lambda x: 0) == zeros(3) + + +def test_expand(): + m0 = Matrix([[x*(x + y), 2], [((x + y)*y)*x, x*(y + x*(x + y))]]) + # Test if expand() returns a matrix + m1 = m0.expand() + assert m1 == Matrix( + [[x*y + x**2, 2], [x*y**2 + y*x**2, x*y + y*x**2 + x**3]]) + + a = Symbol('a', real=True) + + assert Matrix([exp(I*a)]).expand(complex=True) == \ + Matrix([cos(a) + I*sin(a)]) + + assert Matrix([[0, 1, 2], [0, 0, -1], [0, 0, 0]]).exp() == Matrix([ + [1, 1, Rational(3, 2)], + [0, 1, -1], + [0, 0, 1]] + ) + +def test_refine(): + m0 = Matrix([[Abs(x)**2, sqrt(x**2)], + [sqrt(x**2)*Abs(y)**2, sqrt(y**2)*Abs(x)**2]]) + m1 = m0.refine(Q.real(x) & Q.real(y)) + assert m1 == Matrix([[x**2, Abs(x)], [y**2*Abs(x), x**2*Abs(y)]]) + + m1 = m0.refine(Q.positive(x) & Q.positive(y)) + assert m1 == Matrix([[x**2, x], [x*y**2, x**2*y]]) + + m1 = m0.refine(Q.negative(x) & Q.negative(y)) + assert m1 == Matrix([[x**2, -x], [-x*y**2, -x**2*y]]) + +def test_random(): + M = randMatrix(3, 3) + M = randMatrix(3, 3, seed=3) + assert M == randMatrix(3, 3, seed=3) + + M = randMatrix(3, 4, 0, 150) + M = randMatrix(3, seed=4, symmetric=True) + assert M == randMatrix(3, seed=4, symmetric=True) + + S = M.copy() + S.simplify() + assert S == M # doesn't fail when elements are Numbers, not int + + rng = random.Random(4) + assert M == randMatrix(3, symmetric=True, prng=rng) + + # Ensure symmetry + for size in (10, 11): # Test odd and even + for percent in (100, 70, 30): + M = randMatrix(size, symmetric=True, percent=percent, prng=rng) + assert M == M.T + + M = randMatrix(10, min=1, percent=70) + zero_count = 0 + for i in range(M.shape[0]): + for j in range(M.shape[1]): + if M[i, j] == 0: + zero_count += 1 + assert zero_count == 30 + +def test_inverse(): + A = eye(4) + assert A.inv() == eye(4) + assert A.inv(method="LU") == eye(4) + assert A.inv(method="ADJ") == eye(4) + assert A.inv(method="CH") == eye(4) + assert A.inv(method="LDL") == eye(4) + assert A.inv(method="QR") == eye(4) + A = Matrix([[2, 3, 5], + [3, 6, 2], + [8, 3, 6]]) + Ainv = A.inv() + assert A*Ainv == eye(3) + assert A.inv(method="LU") == Ainv + assert A.inv(method="ADJ") == Ainv + assert A.inv(method="CH") == Ainv + assert A.inv(method="LDL") == Ainv + assert A.inv(method="QR") == Ainv + + AA = Matrix([[0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 0, 0], + [1, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0], + [1, 1, 1, 1, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1], + [1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0], + [1, 0, 0, 1, 1, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0], + [1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 0, 0, 1, 1, 0, 1], + [0, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0], + [1, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1], + [0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1], + [1, 0, 1, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 0, 0], + [0, 1, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0], + [1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0], + [0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1], + [1, 1, 1, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 0], + [0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 1, 0, 0], + [1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 0, 0], + [0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1], + [0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1], + [1, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1], + [0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0], + [1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1], + [0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1], + [0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 0, 0], + [0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0], + [0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 0]]) + assert AA.inv(method="BLOCK") * AA == eye(AA.shape[0]) + # test that immutability is not a problem + cls = ImmutableMatrix + m = cls([[48, 49, 31], + [ 9, 71, 94], + [59, 28, 65]]) + assert all(type(m.inv(s)) is cls for s in 'GE ADJ LU CH LDL QR'.split()) + cls = ImmutableSparseMatrix + m = cls([[48, 49, 31], + [ 9, 71, 94], + [59, 28, 65]]) + assert all(type(m.inv(s)) is cls for s in 'GE ADJ LU CH LDL QR'.split()) + + +def test_jacobian_hessian(): + L = Matrix(1, 2, [x**2*y, 2*y**2 + x*y]) + syms = [x, y] + assert L.jacobian(syms) == Matrix([[2*x*y, x**2], [y, 4*y + x]]) + + L = Matrix(1, 2, [x, x**2*y**3]) + assert L.jacobian(syms) == Matrix([[1, 0], [2*x*y**3, x**2*3*y**2]]) + + f = x**2*y + syms = [x, y] + assert hessian(f, syms) == Matrix([[2*y, 2*x], [2*x, 0]]) + + f = x**2*y**3 + assert hessian(f, syms) == \ + Matrix([[2*y**3, 6*x*y**2], [6*x*y**2, 6*x**2*y]]) + + f = z + x*y**2 + g = x**2 + 2*y**3 + ans = Matrix([[0, 2*y], + [2*y, 2*x]]) + assert ans == hessian(f, Matrix([x, y])) + assert ans == hessian(f, Matrix([x, y]).T) + assert hessian(f, (y, x), [g]) == Matrix([ + [ 0, 6*y**2, 2*x], + [6*y**2, 2*x, 2*y], + [ 2*x, 2*y, 0]]) + + +def test_wronskian(): + assert wronskian([cos(x), sin(x)], x) == cos(x)**2 + sin(x)**2 + assert wronskian([exp(x), exp(2*x)], x) == exp(3*x) + assert wronskian([exp(x), x], x) == exp(x) - x*exp(x) + assert wronskian([1, x, x**2], x) == 2 + w1 = -6*exp(x)*sin(x)*x + 6*cos(x)*exp(x)*x**2 - 6*exp(x)*cos(x)*x - \ + exp(x)*cos(x)*x**3 + exp(x)*sin(x)*x**3 + assert wronskian([exp(x), cos(x), x**3], x).expand() == w1 + assert wronskian([exp(x), cos(x), x**3], x, method='berkowitz').expand() \ + == w1 + w2 = -x**3*cos(x)**2 - x**3*sin(x)**2 - 6*x*cos(x)**2 - 6*x*sin(x)**2 + assert wronskian([sin(x), cos(x), x**3], x).expand() == w2 + assert wronskian([sin(x), cos(x), x**3], x, method='berkowitz').expand() \ + == w2 + assert wronskian([], x) == 1 + + +def test_subs(): + assert Matrix([[1, x], [x, 4]]).subs(x, 5) == Matrix([[1, 5], [5, 4]]) + assert Matrix([[x, 2], [x + y, 4]]).subs([[x, -1], [y, -2]]) == \ + Matrix([[-1, 2], [-3, 4]]) + assert Matrix([[x, 2], [x + y, 4]]).subs([(x, -1), (y, -2)]) == \ + Matrix([[-1, 2], [-3, 4]]) + assert Matrix([[x, 2], [x + y, 4]]).subs({x: -1, y: -2}) == \ + Matrix([[-1, 2], [-3, 4]]) + assert Matrix([x*y]).subs({x: y - 1, y: x - 1}, simultaneous=True) == \ + Matrix([(x - 1)*(y - 1)]) + + for cls in classes: + assert Matrix([[2, 0], [0, 2]]) == cls.eye(2).subs(1, 2) + +def test_xreplace(): + assert Matrix([[1, x], [x, 4]]).xreplace({x: 5}) == \ + Matrix([[1, 5], [5, 4]]) + assert Matrix([[x, 2], [x + y, 4]]).xreplace({x: -1, y: -2}) == \ + Matrix([[-1, 2], [-3, 4]]) + for cls in classes: + assert Matrix([[2, 0], [0, 2]]) == cls.eye(2).xreplace({1: 2}) + +def test_simplify(): + n = Symbol('n') + f = Function('f') + + M = Matrix([[ 1/x + 1/y, (x + x*y) / x ], + [ (f(x) + y*f(x))/f(x), 2 * (1/n - cos(n * pi)/n) / pi ]]) + M.simplify() + assert M == Matrix([[ (x + y)/(x * y), 1 + y ], + [ 1 + y, 2*((1 - 1*cos(pi*n))/(pi*n)) ]]) + eq = (1 + x)**2 + M = Matrix([[eq]]) + M.simplify() + assert M == Matrix([[eq]]) + M.simplify(ratio=oo) + assert M == Matrix([[eq.simplify(ratio=oo)]]) + + +def test_transpose(): + M = Matrix([[1, 2, 3, 4, 5, 6, 7, 8, 9, 0], + [1, 2, 3, 4, 5, 6, 7, 8, 9, 0]]) + assert M.T == Matrix( [ [1, 1], + [2, 2], + [3, 3], + [4, 4], + [5, 5], + [6, 6], + [7, 7], + [8, 8], + [9, 9], + [0, 0] ]) + assert M.T.T == M + assert M.T == M.transpose() + + +def test_conjugate(): + M = Matrix([[0, I, 5], + [1, 2, 0]]) + + assert M.T == Matrix([[0, 1], + [I, 2], + [5, 0]]) + + assert M.C == Matrix([[0, -I, 5], + [1, 2, 0]]) + assert M.C == M.conjugate() + + assert M.H == M.T.C + assert M.H == Matrix([[ 0, 1], + [-I, 2], + [ 5, 0]]) + + +def test_conj_dirac(): + raises(AttributeError, lambda: eye(3).D) + + M = Matrix([[1, I, I, I], + [0, 1, I, I], + [0, 0, 1, I], + [0, 0, 0, 1]]) + + assert M.D == Matrix([[ 1, 0, 0, 0], + [-I, 1, 0, 0], + [-I, -I, -1, 0], + [-I, -I, I, -1]]) + + +def test_trace(): + M = Matrix([[1, 0, 0], + [0, 5, 0], + [0, 0, 8]]) + assert M.trace() == 14 + + +def test_shape(): + M = Matrix([[x, 0, 0], + [0, y, 0]]) + assert M.shape == (2, 3) + + +def test_col_row_op(): + M = Matrix([[x, 0, 0], + [0, y, 0]]) + M.row_op(1, lambda r, j: r + j + 1) + assert M == Matrix([[x, 0, 0], + [1, y + 2, 3]]) + + M.col_op(0, lambda c, j: c + y**j) + assert M == Matrix([[x + 1, 0, 0], + [1 + y, y + 2, 3]]) + + # neither row nor slice give copies that allow the original matrix to + # be changed + assert M.row(0) == Matrix([[x + 1, 0, 0]]) + r1 = M.row(0) + r1[0] = 42 + assert M[0, 0] == x + 1 + r1 = M[0, :-1] # also testing negative slice + r1[0] = 42 + assert M[0, 0] == x + 1 + c1 = M.col(0) + assert c1 == Matrix([x + 1, 1 + y]) + c1[0] = 0 + assert M[0, 0] == x + 1 + c1 = M[:, 0] + c1[0] = 42 + assert M[0, 0] == x + 1 + + +def test_row_mult(): + M = Matrix([[1,2,3], + [4,5,6]]) + M.row_mult(1,3) + assert M[1,0] == 12 + assert M[0,0] == 1 + assert M[1,2] == 18 + + +def test_row_add(): + M = Matrix([[1,2,3], + [4,5,6], + [1,1,1]]) + M.row_add(2,0,5) + assert M[0,0] == 6 + assert M[1,0] == 4 + assert M[0,2] == 8 + + +def test_zip_row_op(): + for cls in classes[:2]: # XXX: immutable matrices don't support row ops + M = cls.eye(3) + M.zip_row_op(1, 0, lambda v, u: v + 2*u) + assert M == cls([[1, 0, 0], + [2, 1, 0], + [0, 0, 1]]) + + M = cls.eye(3)*2 + M[0, 1] = -1 + M.zip_row_op(1, 0, lambda v, u: v + 2*u); M + assert M == cls([[2, -1, 0], + [4, 0, 0], + [0, 0, 2]]) + +def test_issue_3950(): + m = Matrix([1, 2, 3]) + a = Matrix([1, 2, 3]) + b = Matrix([2, 2, 3]) + assert not (m in []) + assert not (m in [1]) + assert m != 1 + assert m == a + assert m != b + + +def test_issue_3981(): + class Index1: + def __index__(self): + return 1 + + class Index2: + def __index__(self): + return 2 + index1 = Index1() + index2 = Index2() + + m = Matrix([1, 2, 3]) + + assert m[index2] == 3 + + m[index2] = 5 + assert m[2] == 5 + + m = Matrix([[1, 2, 3], [4, 5, 6]]) + assert m[index1, index2] == 6 + assert m[1, index2] == 6 + assert m[index1, 2] == 6 + + m[index1, index2] = 4 + assert m[1, 2] == 4 + m[1, index2] = 6 + assert m[1, 2] == 6 + m[index1, 2] = 8 + assert m[1, 2] == 8 + + +def test_evalf(): + a = Matrix([sqrt(5), 6]) + assert all(a.evalf()[i] == a[i].evalf() for i in range(2)) + assert all(a.evalf(2)[i] == a[i].evalf(2) for i in range(2)) + assert all(a.n(2)[i] == a[i].n(2) for i in range(2)) + + +def test_is_symbolic(): + a = Matrix([[x, x], [x, x]]) + assert a.is_symbolic() is True + a = Matrix([[1, 2, 3, 4], [5, 6, 7, 8]]) + assert a.is_symbolic() is False + a = Matrix([[1, 2, 3, 4], [5, 6, x, 8]]) + assert a.is_symbolic() is True + a = Matrix([[1, x, 3]]) + assert a.is_symbolic() is True + a = Matrix([[1, 2, 3]]) + assert a.is_symbolic() is False + a = Matrix([[1], [x], [3]]) + assert a.is_symbolic() is True + a = Matrix([[1], [2], [3]]) + assert a.is_symbolic() is False + + +def test_is_upper(): + a = Matrix([[1, 2, 3]]) + assert a.is_upper is True + a = Matrix([[1], [2], [3]]) + assert a.is_upper is False + a = zeros(4, 2) + assert a.is_upper is True + + +def test_is_lower(): + a = Matrix([[1, 2, 3]]) + assert a.is_lower is False + a = Matrix([[1], [2], [3]]) + assert a.is_lower is True + + +def test_is_nilpotent(): + a = Matrix(4, 4, [0, 2, 1, 6, 0, 0, 1, 2, 0, 0, 0, 3, 0, 0, 0, 0]) + assert a.is_nilpotent() + a = Matrix([[1, 0], [0, 1]]) + assert not a.is_nilpotent() + a = Matrix([]) + assert a.is_nilpotent() + + +def test_zeros_ones_fill(): + n, m = 3, 5 + + a = zeros(n, m) + a.fill( 5 ) + + b = 5 * ones(n, m) + + assert a == b + assert a.rows == b.rows == 3 + assert a.cols == b.cols == 5 + assert a.shape == b.shape == (3, 5) + assert zeros(2) == zeros(2, 2) + assert ones(2) == ones(2, 2) + assert zeros(2, 3) == Matrix(2, 3, [0]*6) + assert ones(2, 3) == Matrix(2, 3, [1]*6) + + a.fill(0) + assert a == zeros(n, m) + + +def test_empty_zeros(): + a = zeros(0) + assert a == Matrix() + a = zeros(0, 2) + assert a.rows == 0 + assert a.cols == 2 + a = zeros(2, 0) + assert a.rows == 2 + assert a.cols == 0 + + +def test_issue_3749(): + a = Matrix([[x**2, x*y], [x*sin(y), x*cos(y)]]) + assert a.diff(x) == Matrix([[2*x, y], [sin(y), cos(y)]]) + assert Matrix([ + [x, -x, x**2], + [exp(x), 1/x - exp(-x), x + 1/x]]).limit(x, oo) == \ + Matrix([[oo, -oo, oo], [oo, 0, oo]]) + assert Matrix([ + [(exp(x) - 1)/x, 2*x + y*x, x**x ], + [1/x, abs(x), abs(sin(x + 1))]]).limit(x, 0) == \ + Matrix([[1, 0, 1], [oo, 0, sin(1)]]) + assert a.integrate(x) == Matrix([ + [Rational(1, 3)*x**3, y*x**2/2], + [x**2*sin(y)/2, x**2*cos(y)/2]]) + + +def test_inv_iszerofunc(): + A = eye(4) + A.col_swap(0, 1) + for method in "GE", "LU": + assert A.inv(method=method, iszerofunc=lambda x: x == 0) == \ + A.inv(method="ADJ") + + +def test_jacobian_metrics(): + rho, phi = symbols("rho,phi") + X = Matrix([rho*cos(phi), rho*sin(phi)]) + Y = Matrix([rho, phi]) + J = X.jacobian(Y) + assert J == X.jacobian(Y.T) + assert J == (X.T).jacobian(Y) + assert J == (X.T).jacobian(Y.T) + g = J.T*eye(J.shape[0])*J + g = g.applyfunc(trigsimp) + assert g == Matrix([[1, 0], [0, rho**2]]) + + +def test_jacobian2(): + rho, phi = symbols("rho,phi") + X = Matrix([rho*cos(phi), rho*sin(phi), rho**2]) + Y = Matrix([rho, phi]) + J = Matrix([ + [cos(phi), -rho*sin(phi)], + [sin(phi), rho*cos(phi)], + [ 2*rho, 0], + ]) + assert X.jacobian(Y) == J + + +def test_issue_4564(): + X = Matrix([exp(x + y + z), exp(x + y + z), exp(x + y + z)]) + Y = Matrix([x, y, z]) + for i in range(1, 3): + for j in range(1, 3): + X_slice = X[:i, :] + Y_slice = Y[:j, :] + J = X_slice.jacobian(Y_slice) + assert J.rows == i + assert J.cols == j + for k in range(j): + assert J[:, k] == X_slice + + +def test_nonvectorJacobian(): + X = Matrix([[exp(x + y + z), exp(x + y + z)], + [exp(x + y + z), exp(x + y + z)]]) + raises(TypeError, lambda: X.jacobian(Matrix([x, y, z]))) + X = X[0, :] + Y = Matrix([[x, y], [x, z]]) + raises(TypeError, lambda: X.jacobian(Y)) + raises(TypeError, lambda: X.jacobian(Matrix([ [x, y], [x, z] ]))) + + +def test_vec(): + m = Matrix([[1, 3], [2, 4]]) + m_vec = m.vec() + assert m_vec.cols == 1 + for i in range(4): + assert m_vec[i] == i + 1 + + +def test_vech(): + m = Matrix([[1, 2], [2, 3]]) + m_vech = m.vech() + assert m_vech.cols == 1 + for i in range(3): + assert m_vech[i] == i + 1 + m_vech = m.vech(diagonal=False) + assert m_vech[0] == 2 + + m = Matrix([[1, x*(x + y)], [y*x + x**2, 1]]) + m_vech = m.vech(diagonal=False) + assert m_vech[0] == y*x + x**2 + + m = Matrix([[1, x*(x + y)], [y*x, 1]]) + m_vech = m.vech(diagonal=False, check_symmetry=False) + assert m_vech[0] == y*x + + raises(ShapeError, lambda: Matrix([[1, 3]]).vech()) + raises(ValueError, lambda: Matrix([[1, 3], [2, 4]]).vech()) + raises(ShapeError, lambda: Matrix([[1, 3]]).vech()) + raises(ValueError, lambda: Matrix([[1, 3], [2, 4]]).vech()) + + +def test_diag(): + # mostly tested in testcommonmatrix.py + assert diag([1, 2, 3]) == Matrix([1, 2, 3]) + m = [1, 2, [3]] + raises(ValueError, lambda: diag(m)) + assert diag(m, strict=False) == Matrix([1, 2, 3]) + + +def test_get_diag_blocks1(): + a = Matrix([[1, 2], [2, 3]]) + b = Matrix([[3, x], [y, 3]]) + c = Matrix([[3, x, 3], [y, 3, z], [x, y, z]]) + assert a.get_diag_blocks() == [a] + assert b.get_diag_blocks() == [b] + assert c.get_diag_blocks() == [c] + + +def test_get_diag_blocks2(): + a = Matrix([[1, 2], [2, 3]]) + b = Matrix([[3, x], [y, 3]]) + c = Matrix([[3, x, 3], [y, 3, z], [x, y, z]]) + assert diag(a, b, b).get_diag_blocks() == [a, b, b] + assert diag(a, b, c).get_diag_blocks() == [a, b, c] + assert diag(a, c, b).get_diag_blocks() == [a, c, b] + assert diag(c, c, b).get_diag_blocks() == [c, c, b] + + +def test_inv_block(): + a = Matrix([[1, 2], [2, 3]]) + b = Matrix([[3, x], [y, 3]]) + c = Matrix([[3, x, 3], [y, 3, z], [x, y, z]]) + A = diag(a, b, b) + assert A.inv(try_block_diag=True) == diag(a.inv(), b.inv(), b.inv()) + A = diag(a, b, c) + assert A.inv(try_block_diag=True) == diag(a.inv(), b.inv(), c.inv()) + A = diag(a, c, b) + assert A.inv(try_block_diag=True) == diag(a.inv(), c.inv(), b.inv()) + A = diag(a, a, b, a, c, a) + assert A.inv(try_block_diag=True) == diag( + a.inv(), a.inv(), b.inv(), a.inv(), c.inv(), a.inv()) + assert A.inv(try_block_diag=True, method="ADJ") == diag( + a.inv(method="ADJ"), a.inv(method="ADJ"), b.inv(method="ADJ"), + a.inv(method="ADJ"), c.inv(method="ADJ"), a.inv(method="ADJ")) + + +def test_creation_args(): + """ + Check that matrix dimensions can be specified using any reasonable type + (see issue 4614). + """ + raises(ValueError, lambda: zeros(3, -1)) + raises(TypeError, lambda: zeros(1, 2, 3, 4)) + assert zeros(int(3)) == zeros(3) + assert zeros(Integer(3)) == zeros(3) + raises(ValueError, lambda: zeros(3.)) + assert eye(int(3)) == eye(3) + assert eye(Integer(3)) == eye(3) + raises(ValueError, lambda: eye(3.)) + assert ones(int(3), Integer(4)) == ones(3, 4) + raises(TypeError, lambda: Matrix(5)) + raises(TypeError, lambda: Matrix(1, 2)) + raises(ValueError, lambda: Matrix([1, [2]])) + + +def test_diagonal_symmetrical(): + m = Matrix(2, 2, [0, 1, 1, 0]) + assert not m.is_diagonal() + assert m.is_symmetric() + assert m.is_symmetric(simplify=False) + + m = Matrix(2, 2, [1, 0, 0, 1]) + assert m.is_diagonal() + + m = diag(1, 2, 3) + assert m.is_diagonal() + assert m.is_symmetric() + + m = Matrix(3, 3, [1, 0, 0, 0, 2, 0, 0, 0, 3]) + assert m == diag(1, 2, 3) + + m = Matrix(2, 3, zeros(2, 3)) + assert not m.is_symmetric() + assert m.is_diagonal() + + m = Matrix(((5, 0), (0, 6), (0, 0))) + assert m.is_diagonal() + + m = Matrix(((5, 0, 0), (0, 6, 0))) + assert m.is_diagonal() + + m = Matrix(3, 3, [1, x**2 + 2*x + 1, y, (x + 1)**2, 2, 0, y, 0, 3]) + assert m.is_symmetric() + assert not m.is_symmetric(simplify=False) + assert m.expand().is_symmetric(simplify=False) + + +def test_diagonalization(): + m = Matrix([[1, 2+I], [2-I, 3]]) + assert m.is_diagonalizable() + + m = Matrix(3, 2, [-3, 1, -3, 20, 3, 10]) + assert not m.is_diagonalizable() + assert not m.is_symmetric() + raises(NonSquareMatrixError, lambda: m.diagonalize()) + + # diagonalizable + m = diag(1, 2, 3) + (P, D) = m.diagonalize() + assert P == eye(3) + assert D == m + + m = Matrix(2, 2, [0, 1, 1, 0]) + assert m.is_symmetric() + assert m.is_diagonalizable() + (P, D) = m.diagonalize() + assert P.inv() * m * P == D + + m = Matrix(2, 2, [1, 0, 0, 3]) + assert m.is_symmetric() + assert m.is_diagonalizable() + (P, D) = m.diagonalize() + assert P.inv() * m * P == D + assert P == eye(2) + assert D == m + + m = Matrix(2, 2, [1, 1, 0, 0]) + assert m.is_diagonalizable() + (P, D) = m.diagonalize() + assert P.inv() * m * P == D + + m = Matrix(3, 3, [1, 2, 0, 0, 3, 0, 2, -4, 2]) + assert m.is_diagonalizable() + (P, D) = m.diagonalize() + assert P.inv() * m * P == D + for i in P: + assert i.as_numer_denom()[1] == 1 + + m = Matrix(2, 2, [1, 0, 0, 0]) + assert m.is_diagonal() + assert m.is_diagonalizable() + (P, D) = m.diagonalize() + assert P.inv() * m * P == D + assert P == Matrix([[0, 1], [1, 0]]) + + # diagonalizable, complex only + m = Matrix(2, 2, [0, 1, -1, 0]) + assert not m.is_diagonalizable(True) + raises(MatrixError, lambda: m.diagonalize(True)) + assert m.is_diagonalizable() + (P, D) = m.diagonalize() + assert P.inv() * m * P == D + + # not diagonalizable + m = Matrix(2, 2, [0, 1, 0, 0]) + assert not m.is_diagonalizable() + raises(MatrixError, lambda: m.diagonalize()) + + m = Matrix(3, 3, [-3, 1, -3, 20, 3, 10, 2, -2, 4]) + assert not m.is_diagonalizable() + raises(MatrixError, lambda: m.diagonalize()) + + # symbolic + a, b, c, d = symbols('a b c d') + m = Matrix(2, 2, [a, c, c, b]) + assert m.is_symmetric() + assert m.is_diagonalizable() + + +def test_issue_15887(): + # Mutable matrix should not use cache + a = MutableDenseMatrix([[0, 1], [1, 0]]) + assert a.is_diagonalizable() is True + a[1, 0] = 0 + assert a.is_diagonalizable() is False + + a = MutableDenseMatrix([[0, 1], [1, 0]]) + a.diagonalize() + a[1, 0] = 0 + raises(MatrixError, lambda: a.diagonalize()) + + +def test_jordan_form(): + + m = Matrix(3, 2, [-3, 1, -3, 20, 3, 10]) + raises(NonSquareMatrixError, lambda: m.jordan_form()) + + # diagonalizable + m = Matrix(3, 3, [7, -12, 6, 10, -19, 10, 12, -24, 13]) + Jmust = Matrix(3, 3, [-1, 0, 0, 0, 1, 0, 0, 0, 1]) + P, J = m.jordan_form() + assert Jmust == J + assert Jmust == m.diagonalize()[1] + + # m = Matrix(3, 3, [0, 6, 3, 1, 3, 1, -2, 2, 1]) + # m.jordan_form() # very long + # m.jordan_form() # + + # diagonalizable, complex only + + # Jordan cells + # complexity: one of eigenvalues is zero + m = Matrix(3, 3, [0, 1, 0, -4, 4, 0, -2, 1, 2]) + # The blocks are ordered according to the value of their eigenvalues, + # in order to make the matrix compatible with .diagonalize() + Jmust = Matrix(3, 3, [2, 1, 0, 0, 2, 0, 0, 0, 2]) + P, J = m.jordan_form() + assert Jmust == J + + # complexity: all of eigenvalues are equal + m = Matrix(3, 3, [2, 6, -15, 1, 1, -5, 1, 2, -6]) + # Jmust = Matrix(3, 3, [-1, 0, 0, 0, -1, 1, 0, 0, -1]) + # same here see 1456ff + Jmust = Matrix(3, 3, [-1, 1, 0, 0, -1, 0, 0, 0, -1]) + P, J = m.jordan_form() + assert Jmust == J + + # complexity: two of eigenvalues are zero + m = Matrix(3, 3, [4, -5, 2, 5, -7, 3, 6, -9, 4]) + Jmust = Matrix(3, 3, [0, 1, 0, 0, 0, 0, 0, 0, 1]) + P, J = m.jordan_form() + assert Jmust == J + + m = Matrix(4, 4, [6, 5, -2, -3, -3, -1, 3, 3, 2, 1, -2, -3, -1, 1, 5, 5]) + Jmust = Matrix(4, 4, [2, 1, 0, 0, + 0, 2, 0, 0, + 0, 0, 2, 1, + 0, 0, 0, 2] + ) + P, J = m.jordan_form() + assert Jmust == J + + m = Matrix(4, 4, [6, 2, -8, -6, -3, 2, 9, 6, 2, -2, -8, -6, -1, 0, 3, 4]) + # Jmust = Matrix(4, 4, [2, 0, 0, 0, 0, 2, 1, 0, 0, 0, 2, 0, 0, 0, 0, -2]) + # same here see 1456ff + Jmust = Matrix(4, 4, [-2, 0, 0, 0, + 0, 2, 1, 0, + 0, 0, 2, 0, + 0, 0, 0, 2]) + P, J = m.jordan_form() + assert Jmust == J + + m = Matrix(4, 4, [5, 4, 2, 1, 0, 1, -1, -1, -1, -1, 3, 0, 1, 1, -1, 2]) + assert not m.is_diagonalizable() + Jmust = Matrix(4, 4, [1, 0, 0, 0, 0, 2, 0, 0, 0, 0, 4, 1, 0, 0, 0, 4]) + P, J = m.jordan_form() + assert Jmust == J + + # checking for maximum precision to remain unchanged + m = Matrix([[Float('1.0', precision=110), Float('2.0', precision=110)], + [Float('3.14159265358979323846264338327', precision=110), Float('4.0', precision=110)]]) + P, J = m.jordan_form() + for term in J.values(): + if isinstance(term, Float): + assert term._prec == 110 + + +def test_jordan_form_complex_issue_9274(): + A = Matrix([[ 2, 4, 1, 0], + [-4, 2, 0, 1], + [ 0, 0, 2, 4], + [ 0, 0, -4, 2]]) + p = 2 - 4*I + q = 2 + 4*I + Jmust1 = Matrix([[p, 1, 0, 0], + [0, p, 0, 0], + [0, 0, q, 1], + [0, 0, 0, q]]) + Jmust2 = Matrix([[q, 1, 0, 0], + [0, q, 0, 0], + [0, 0, p, 1], + [0, 0, 0, p]]) + P, J = A.jordan_form() + assert J == Jmust1 or J == Jmust2 + assert simplify(P*J*P.inv()) == A + +def test_issue_10220(): + # two non-orthogonal Jordan blocks with eigenvalue 1 + M = Matrix([[1, 0, 0, 1], + [0, 1, 1, 0], + [0, 0, 1, 1], + [0, 0, 0, 1]]) + P, J = M.jordan_form() + assert P == Matrix([[0, 1, 0, 1], + [1, 0, 0, 0], + [0, 1, 0, 0], + [0, 0, 1, 0]]) + assert J == Matrix([ + [1, 1, 0, 0], + [0, 1, 1, 0], + [0, 0, 1, 0], + [0, 0, 0, 1]]) + +def test_jordan_form_issue_15858(): + A = Matrix([ + [1, 1, 1, 0], + [-2, -1, 0, -1], + [0, 0, -1, -1], + [0, 0, 2, 1]]) + (P, J) = A.jordan_form() + assert P.expand() == Matrix([ + [ -I, -I/2, I, I/2], + [-1 + I, 0, -1 - I, 0], + [ 0, -S(1)/2 - I/2, 0, -S(1)/2 + I/2], + [ 0, 1, 0, 1]]) + assert J == Matrix([ + [-I, 1, 0, 0], + [0, -I, 0, 0], + [0, 0, I, 1], + [0, 0, 0, I]]) + +def test_Matrix_berkowitz_charpoly(): + UA, K_i, K_w = symbols('UA K_i K_w') + + A = Matrix([[-K_i - UA + K_i**2/(K_i + K_w), K_i*K_w/(K_i + K_w)], + [ K_i*K_w/(K_i + K_w), -K_w + K_w**2/(K_i + K_w)]]) + + charpoly = A.charpoly(x) + + assert charpoly == \ + Poly(x**2 + (K_i*UA + K_w*UA + 2*K_i*K_w)/(K_i + K_w)*x + + K_i*K_w*UA/(K_i + K_w), x, domain='ZZ(K_i,K_w,UA)') + + assert type(charpoly) is PurePoly + + A = Matrix([[1, 3], [2, 0]]) + assert A.charpoly() == A.charpoly(x) == PurePoly(x**2 - x - 6) + + A = Matrix([[1, 2], [x, 0]]) + p = A.charpoly(x) + assert p.gen != x + assert p.as_expr().subs(p.gen, x) == x**2 - 3*x + + +def test_exp_jordan_block(): + l = Symbol('lamda') + + m = Matrix.jordan_block(1, l) + assert m._eval_matrix_exp_jblock() == Matrix([[exp(l)]]) + + m = Matrix.jordan_block(3, l) + assert m._eval_matrix_exp_jblock() == \ + Matrix([ + [exp(l), exp(l), exp(l)/2], + [0, exp(l), exp(l)], + [0, 0, exp(l)]]) + + +def test_exp(): + m = Matrix([[3, 4], [0, -2]]) + m_exp = Matrix([[exp(3), -4*exp(-2)/5 + 4*exp(3)/5], [0, exp(-2)]]) + assert m.exp() == m_exp + assert exp(m) == m_exp + + m = Matrix([[1, 0], [0, 1]]) + assert m.exp() == Matrix([[E, 0], [0, E]]) + assert exp(m) == Matrix([[E, 0], [0, E]]) + + m = Matrix([[1, -1], [1, 1]]) + assert m.exp() == Matrix([[E*cos(1), -E*sin(1)], [E*sin(1), E*cos(1)]]) + + +def test_log(): + l = Symbol('lamda') + + m = Matrix.jordan_block(1, l) + assert m._eval_matrix_log_jblock() == Matrix([[log(l)]]) + + m = Matrix.jordan_block(4, l) + assert m._eval_matrix_log_jblock() == \ + Matrix( + [ + [log(l), 1/l, -1/(2*l**2), 1/(3*l**3)], + [0, log(l), 1/l, -1/(2*l**2)], + [0, 0, log(l), 1/l], + [0, 0, 0, log(l)] + ] + ) + + m = Matrix( + [[0, 0, 1], + [0, 0, 0], + [-1, 0, 0]] + ) + raises(MatrixError, lambda: m.log()) + + +def test_has(): + A = Matrix(((x, y), (2, 3))) + assert A.has(x) + assert not A.has(z) + assert A.has(Symbol) + + A = A.subs(x, 2) + assert not A.has(x) + + +def test_find_reasonable_pivot_naive_finds_guaranteed_nonzero1(): + # Test if matrices._find_reasonable_pivot_naive() + # finds a guaranteed non-zero pivot when the + # some of the candidate pivots are symbolic expressions. + # Keyword argument: simpfunc=None indicates that no simplifications + # should be performed during the search. + x = Symbol('x') + column = Matrix(3, 1, [x, cos(x)**2 + sin(x)**2, S.Half]) + pivot_offset, pivot_val, pivot_assumed_nonzero, simplified =\ + _find_reasonable_pivot_naive(column) + assert pivot_val == S.Half + +def test_find_reasonable_pivot_naive_finds_guaranteed_nonzero2(): + # Test if matrices._find_reasonable_pivot_naive() + # finds a guaranteed non-zero pivot when the + # some of the candidate pivots are symbolic expressions. + # Keyword argument: simpfunc=_simplify indicates that the search + # should attempt to simplify candidate pivots. + x = Symbol('x') + column = Matrix(3, 1, + [x, + cos(x)**2+sin(x)**2+x**2, + cos(x)**2+sin(x)**2]) + pivot_offset, pivot_val, pivot_assumed_nonzero, simplified =\ + _find_reasonable_pivot_naive(column, simpfunc=_simplify) + assert pivot_val == 1 + +def test_find_reasonable_pivot_naive_simplifies(): + # Test if matrices._find_reasonable_pivot_naive() + # simplifies candidate pivots, and reports + # their offsets correctly. + x = Symbol('x') + column = Matrix(3, 1, + [x, + cos(x)**2+sin(x)**2+x, + cos(x)**2+sin(x)**2]) + pivot_offset, pivot_val, pivot_assumed_nonzero, simplified =\ + _find_reasonable_pivot_naive(column, simpfunc=_simplify) + + assert len(simplified) == 2 + assert simplified[0][0] == 1 + assert simplified[0][1] == 1+x + assert simplified[1][0] == 2 + assert simplified[1][1] == 1 + +def test_errors(): + raises(ValueError, lambda: Matrix([[1, 2], [1]])) + raises(IndexError, lambda: Matrix([[1, 2]])[1.2, 5]) + raises(IndexError, lambda: Matrix([[1, 2]])[1, 5.2]) + raises(ValueError, lambda: randMatrix(3, c=4, symmetric=True)) + raises(ValueError, lambda: Matrix([1, 2]).reshape(4, 6)) + raises(ShapeError, + lambda: Matrix([[1, 2], [3, 4]]).copyin_matrix([1, 0], Matrix([1, 2]))) + raises(TypeError, lambda: Matrix([[1, 2], [3, 4]]).copyin_list([0, + 1], set())) + raises(NonSquareMatrixError, lambda: Matrix([[1, 2, 3], [2, 3, 0]]).inv()) + raises(ShapeError, + lambda: Matrix(1, 2, [1, 2]).row_join(Matrix([[1, 2], [3, 4]]))) + raises( + ShapeError, lambda: Matrix([1, 2]).col_join(Matrix([[1, 2], [3, 4]]))) + raises(ShapeError, lambda: Matrix([1]).row_insert(1, Matrix([[1, + 2], [3, 4]]))) + raises(ShapeError, lambda: Matrix([1]).col_insert(1, Matrix([[1, + 2], [3, 4]]))) + raises(NonSquareMatrixError, lambda: Matrix([1, 2]).trace()) + raises(TypeError, lambda: Matrix([1]).applyfunc(1)) + raises(ValueError, lambda: Matrix([[1, 2], [3, 4]]).minor(4, 5)) + raises(ValueError, lambda: Matrix([[1, 2], [3, 4]]).minor_submatrix(4, 5)) + raises(TypeError, lambda: Matrix([1, 2, 3]).cross(1)) + raises(TypeError, lambda: Matrix([1, 2, 3]).dot(1)) + raises(ShapeError, lambda: Matrix([1, 2, 3]).dot(Matrix([1, 2]))) + raises(ShapeError, lambda: Matrix([1, 2]).dot([])) + raises(TypeError, lambda: Matrix([1, 2]).dot('a')) + raises(ShapeError, lambda: Matrix([1, 2]).dot([1, 2, 3])) + raises(NonSquareMatrixError, lambda: Matrix([1, 2, 3]).exp()) + raises(ShapeError, lambda: Matrix([[1, 2], [3, 4]]).normalized()) + raises(ValueError, lambda: Matrix([1, 2]).inv(method='not a method')) + raises(NonSquareMatrixError, lambda: Matrix([1, 2]).inverse_GE()) + raises(ValueError, lambda: Matrix([[1, 2], [1, 2]]).inverse_GE()) + raises(NonSquareMatrixError, lambda: Matrix([1, 2]).inverse_ADJ()) + raises(ValueError, lambda: Matrix([[1, 2], [1, 2]]).inverse_ADJ()) + raises(NonSquareMatrixError, lambda: Matrix([1, 2]).inverse_LU()) + raises(NonSquareMatrixError, lambda: Matrix([1, 2]).is_nilpotent()) + raises(NonSquareMatrixError, lambda: Matrix([1, 2]).det()) + raises(ValueError, + lambda: Matrix([[1, 2], [3, 4]]).det(method='Not a real method')) + raises(ValueError, + lambda: Matrix([[1, 2, 3, 4], [5, 6, 7, 8], + [9, 10, 11, 12], [13, 14, 15, 16]]).det(iszerofunc="Not function")) + raises(ValueError, + lambda: Matrix([[1, 2, 3, 4], [5, 6, 7, 8], + [9, 10, 11, 12], [13, 14, 15, 16]]).det(iszerofunc=False)) + raises(ValueError, + lambda: hessian(Matrix([[1, 2], [3, 4]]), Matrix([[1, 2], [2, 1]]))) + raises(ValueError, lambda: hessian(Matrix([[1, 2], [3, 4]]), [])) + raises(ValueError, lambda: hessian(Symbol('x')**2, 'a')) + raises(IndexError, lambda: eye(3)[5, 2]) + raises(IndexError, lambda: eye(3)[2, 5]) + M = Matrix(((1, 2, 3, 4), (5, 6, 7, 8), (9, 10, 11, 12), (13, 14, 15, 16))) + raises(ValueError, lambda: M.det('method=LU_decomposition()')) + V = Matrix([[10, 10, 10]]) + M = Matrix([[1, 2, 3], [2, 3, 4], [3, 4, 5]]) + raises(ValueError, lambda: M.row_insert(4.7, V)) + M = Matrix([[1, 2, 3], [2, 3, 4], [3, 4, 5]]) + raises(ValueError, lambda: M.col_insert(-4.2, V)) + +def test_len(): + assert len(Matrix()) == 0 + assert len(Matrix([[1, 2]])) == len(Matrix([[1], [2]])) == 2 + assert len(Matrix(0, 2, lambda i, j: 0)) == \ + len(Matrix(2, 0, lambda i, j: 0)) == 0 + assert len(Matrix([[0, 1, 2], [3, 4, 5]])) == 6 + assert Matrix([1]) == Matrix([[1]]) + assert not Matrix() + assert Matrix() == Matrix([]) + + +def test_integrate(): + A = Matrix(((1, 4, x), (y, 2, 4), (10, 5, x**2))) + assert A.integrate(x) == \ + Matrix(((x, 4*x, x**2/2), (x*y, 2*x, 4*x), (10*x, 5*x, x**3/3))) + assert A.integrate(y) == \ + Matrix(((y, 4*y, x*y), (y**2/2, 2*y, 4*y), (10*y, 5*y, y*x**2))) + + +def test_limit(): + A = Matrix(((1, 4, sin(x)/x), (y, 2, 4), (10, 5, x**2 + 1))) + assert A.limit(x, 0) == Matrix(((1, 4, 1), (y, 2, 4), (10, 5, 1))) + + +def test_diff(): + A = MutableDenseMatrix(((1, 4, x), (y, 2, 4), (10, 5, x**2 + 1))) + assert isinstance(A.diff(x), type(A)) + assert A.diff(x) == MutableDenseMatrix(((0, 0, 1), (0, 0, 0), (0, 0, 2*x))) + assert A.diff(y) == MutableDenseMatrix(((0, 0, 0), (1, 0, 0), (0, 0, 0))) + + assert diff(A, x) == MutableDenseMatrix(((0, 0, 1), (0, 0, 0), (0, 0, 2*x))) + assert diff(A, y) == MutableDenseMatrix(((0, 0, 0), (1, 0, 0), (0, 0, 0))) + + A_imm = A.as_immutable() + assert isinstance(A_imm.diff(x), type(A_imm)) + assert A_imm.diff(x) == ImmutableDenseMatrix(((0, 0, 1), (0, 0, 0), (0, 0, 2*x))) + assert A_imm.diff(y) == ImmutableDenseMatrix(((0, 0, 0), (1, 0, 0), (0, 0, 0))) + + assert diff(A_imm, x) == ImmutableDenseMatrix(((0, 0, 1), (0, 0, 0), (0, 0, 2*x))) + assert diff(A_imm, y) == ImmutableDenseMatrix(((0, 0, 0), (1, 0, 0), (0, 0, 0))) + + assert A.diff(x, evaluate=False) == ArrayDerivative(A, x, evaluate=False) + assert diff(A, x, evaluate=False) == ArrayDerivative(A, x, evaluate=False) + + +def test_diff_by_matrix(): + + # Derive matrix by matrix: + + A = MutableDenseMatrix([[x, y], [z, t]]) + assert A.diff(A) == Array([[[[1, 0], [0, 0]], [[0, 1], [0, 0]]], [[[0, 0], [1, 0]], [[0, 0], [0, 1]]]]) + assert diff(A, A) == Array([[[[1, 0], [0, 0]], [[0, 1], [0, 0]]], [[[0, 0], [1, 0]], [[0, 0], [0, 1]]]]) + + A_imm = A.as_immutable() + assert A_imm.diff(A_imm) == Array([[[[1, 0], [0, 0]], [[0, 1], [0, 0]]], [[[0, 0], [1, 0]], [[0, 0], [0, 1]]]]) + assert diff(A_imm, A_imm) == Array([[[[1, 0], [0, 0]], [[0, 1], [0, 0]]], [[[0, 0], [1, 0]], [[0, 0], [0, 1]]]]) + + # Derive a constant matrix: + assert A.diff(a) == MutableDenseMatrix([[0, 0], [0, 0]]) + + B = ImmutableDenseMatrix([a, b]) + assert A.diff(B) == Array.zeros(2, 1, 2, 2) + assert A.diff(A) == Array([[[[1, 0], [0, 0]], [[0, 1], [0, 0]]], [[[0, 0], [1, 0]], [[0, 0], [0, 1]]]]) + + # Test diff with tuples: + + dB = B.diff([[a, b]]) + assert dB.shape == (2, 2, 1) + assert dB == Array([[[1], [0]], [[0], [1]]]) + + f = Function("f") + fxyz = f(x, y, z) + assert fxyz.diff([[x, y, z]]) == Array([fxyz.diff(x), fxyz.diff(y), fxyz.diff(z)]) + assert fxyz.diff(([x, y, z], 2)) == Array([ + [fxyz.diff(x, 2), fxyz.diff(x, y), fxyz.diff(x, z)], + [fxyz.diff(x, y), fxyz.diff(y, 2), fxyz.diff(y, z)], + [fxyz.diff(x, z), fxyz.diff(z, y), fxyz.diff(z, 2)], + ]) + + expr = sin(x)*exp(y) + assert expr.diff([[x, y]]) == Array([cos(x)*exp(y), sin(x)*exp(y)]) + assert expr.diff(y, ((x, y),)) == Array([cos(x)*exp(y), sin(x)*exp(y)]) + assert expr.diff(x, ((x, y),)) == Array([-sin(x)*exp(y), cos(x)*exp(y)]) + assert expr.diff(((y, x),), [[x, y]]) == Array([[cos(x)*exp(y), -sin(x)*exp(y)], [sin(x)*exp(y), cos(x)*exp(y)]]) + + # Test different notations: + + assert fxyz.diff(x).diff(y).diff(x) == fxyz.diff(((x, y, z),), 3)[0, 1, 0] + assert fxyz.diff(z).diff(y).diff(x) == fxyz.diff(((x, y, z),), 3)[2, 1, 0] + assert fxyz.diff([[x, y, z]], ((z, y, x),)) == Array([[fxyz.diff(i).diff(j) for i in (x, y, z)] for j in (z, y, x)]) + + # Test scalar derived by matrix remains matrix: + res = x.diff(Matrix([[x, y]])) + assert isinstance(res, ImmutableDenseMatrix) + assert res == Matrix([[1, 0]]) + res = (x**3).diff(Matrix([[x, y]])) + assert isinstance(res, ImmutableDenseMatrix) + assert res == Matrix([[3*x**2, 0]]) + + +def test_getattr(): + A = Matrix(((1, 4, x), (y, 2, 4), (10, 5, x**2 + 1))) + raises(AttributeError, lambda: A.nonexistantattribute) + assert getattr(A, 'diff')(x) == Matrix(((0, 0, 1), (0, 0, 0), (0, 0, 2*x))) + + +def test_hessenberg(): + A = Matrix([[3, 4, 1], [2, 4, 5], [0, 1, 2]]) + assert A.is_upper_hessenberg + A = A.T + assert A.is_lower_hessenberg + A[0, -1] = 1 + assert A.is_lower_hessenberg is False + + A = Matrix([[3, 4, 1], [2, 4, 5], [3, 1, 2]]) + assert not A.is_upper_hessenberg + + A = zeros(5, 2) + assert A.is_upper_hessenberg + + +def test_cholesky(): + raises(NonSquareMatrixError, lambda: Matrix((1, 2)).cholesky()) + raises(ValueError, lambda: Matrix(((1, 2), (3, 4))).cholesky()) + raises(ValueError, lambda: Matrix(((5 + I, 0), (0, 1))).cholesky()) + raises(ValueError, lambda: Matrix(((1, 5), (5, 1))).cholesky()) + raises(ValueError, lambda: Matrix(((1, 2), (3, 4))).cholesky(hermitian=False)) + assert Matrix(((5 + I, 0), (0, 1))).cholesky(hermitian=False) == Matrix([ + [sqrt(5 + I), 0], [0, 1]]) + A = Matrix(((1, 5), (5, 1))) + L = A.cholesky(hermitian=False) + assert L == Matrix([[1, 0], [5, 2*sqrt(6)*I]]) + assert L*L.T == A + A = Matrix(((25, 15, -5), (15, 18, 0), (-5, 0, 11))) + L = A.cholesky() + assert L * L.T == A + assert L.is_lower + assert L == Matrix([[5, 0, 0], [3, 3, 0], [-1, 1, 3]]) + A = Matrix(((4, -2*I, 2 + 2*I), (2*I, 2, -1 + I), (2 - 2*I, -1 - I, 11))) + assert A.cholesky().expand() == Matrix(((2, 0, 0), (I, 1, 0), (1 - I, 0, 3))) + + raises(NonSquareMatrixError, lambda: SparseMatrix((1, 2)).cholesky()) + raises(ValueError, lambda: SparseMatrix(((1, 2), (3, 4))).cholesky()) + raises(ValueError, lambda: SparseMatrix(((5 + I, 0), (0, 1))).cholesky()) + raises(ValueError, lambda: SparseMatrix(((1, 5), (5, 1))).cholesky()) + raises(ValueError, lambda: SparseMatrix(((1, 2), (3, 4))).cholesky(hermitian=False)) + assert SparseMatrix(((5 + I, 0), (0, 1))).cholesky(hermitian=False) == Matrix([ + [sqrt(5 + I), 0], [0, 1]]) + A = SparseMatrix(((1, 5), (5, 1))) + L = A.cholesky(hermitian=False) + assert L == Matrix([[1, 0], [5, 2*sqrt(6)*I]]) + assert L*L.T == A + A = SparseMatrix(((25, 15, -5), (15, 18, 0), (-5, 0, 11))) + L = A.cholesky() + assert L * L.T == A + assert L.is_lower + assert L == Matrix([[5, 0, 0], [3, 3, 0], [-1, 1, 3]]) + A = SparseMatrix(((4, -2*I, 2 + 2*I), (2*I, 2, -1 + I), (2 - 2*I, -1 - I, 11))) + assert A.cholesky() == Matrix(((2, 0, 0), (I, 1, 0), (1 - I, 0, 3))) + + +def test_matrix_norm(): + # Vector Tests + # Test columns and symbols + x = Symbol('x', real=True) + v = Matrix([cos(x), sin(x)]) + assert trigsimp(v.norm(2)) == 1 + assert v.norm(10) == Pow(cos(x)**10 + sin(x)**10, Rational(1, 10)) + + # Test Rows + A = Matrix([[5, Rational(3, 2)]]) + assert A.norm() == Pow(25 + Rational(9, 4), S.Half) + assert A.norm(oo) == max(A) + assert A.norm(-oo) == min(A) + + # Matrix Tests + # Intuitive test + A = Matrix([[1, 1], [1, 1]]) + assert A.norm(2) == 2 + assert A.norm(-2) == 0 + assert A.norm('frobenius') == 2 + assert eye(10).norm(2) == eye(10).norm(-2) == 1 + assert A.norm(oo) == 2 + + # Test with Symbols and more complex entries + A = Matrix([[3, y, y], [x, S.Half, -pi]]) + assert (A.norm('fro') + == sqrt(Rational(37, 4) + 2*abs(y)**2 + pi**2 + x**2)) + + # Check non-square + A = Matrix([[1, 2, -3], [4, 5, Rational(13, 2)]]) + assert A.norm(2) == sqrt(Rational(389, 8) + sqrt(78665)/8) + assert A.norm(-2) is S.Zero + assert A.norm('frobenius') == sqrt(389)/2 + + # Test properties of matrix norms + # https://en.wikipedia.org/wiki/Matrix_norm#Definition + # Two matrices + A = Matrix([[1, 2], [3, 4]]) + B = Matrix([[5, 5], [-2, 2]]) + C = Matrix([[0, -I], [I, 0]]) + D = Matrix([[1, 0], [0, -1]]) + L = [A, B, C, D] + alpha = Symbol('alpha', real=True) + + for order in ['fro', 2, -2]: + # Zero Check + assert zeros(3).norm(order) is S.Zero + # Check Triangle Inequality for all Pairs of Matrices + for X in L: + for Y in L: + dif = (X.norm(order) + Y.norm(order) - + (X + Y).norm(order)) + assert (dif >= 0) + # Scalar multiplication linearity + for M in [A, B, C, D]: + dif = simplify((alpha*M).norm(order) - + abs(alpha) * M.norm(order)) + assert dif == 0 + + # Test Properties of Vector Norms + # https://en.wikipedia.org/wiki/Vector_norm + # Two column vectors + a = Matrix([1, 1 - 1*I, -3]) + b = Matrix([S.Half, 1*I, 1]) + c = Matrix([-1, -1, -1]) + d = Matrix([3, 2, I]) + e = Matrix([Integer(1e2), Rational(1, 1e2), 1]) + L = [a, b, c, d, e] + alpha = Symbol('alpha', real=True) + + for order in [1, 2, -1, -2, S.Infinity, S.NegativeInfinity, pi]: + # Zero Check + if order > 0: + assert Matrix([0, 0, 0]).norm(order) is S.Zero + # Triangle inequality on all pairs + if order >= 1: # Triangle InEq holds only for these norms + for X in L: + for Y in L: + dif = (X.norm(order) + Y.norm(order) - + (X + Y).norm(order)) + assert simplify(dif >= 0) is S.true + # Linear to scalar multiplication + if order in [1, 2, -1, -2, S.Infinity, S.NegativeInfinity]: + for X in L: + dif = simplify((alpha*X).norm(order) - + (abs(alpha) * X.norm(order))) + assert dif == 0 + + # ord=1 + M = Matrix(3, 3, [1, 3, 0, -2, -1, 0, 3, 9, 6]) + assert M.norm(1) == 13 + + +def test_condition_number(): + x = Symbol('x', real=True) + A = eye(3) + A[0, 0] = 10 + A[2, 2] = Rational(1, 10) + assert A.condition_number() == 100 + + A[1, 1] = x + assert A.condition_number() == Max(10, Abs(x)) / Min(Rational(1, 10), Abs(x)) + + M = Matrix([[cos(x), sin(x)], [-sin(x), cos(x)]]) + Mc = M.condition_number() + assert all(Float(1.).epsilon_eq(Mc.subs(x, val).evalf()) for val in + [Rational(1, 5), S.Half, Rational(1, 10), pi/2, pi, pi*Rational(7, 4) ]) + + #issue 10782 + assert Matrix([]).condition_number() == 0 + + +def test_equality(): + A = Matrix(((1, 2, 3), (4, 5, 6), (7, 8, 9))) + B = Matrix(((9, 8, 7), (6, 5, 4), (3, 2, 1))) + assert A == A[:, :] + assert not A != A[:, :] + assert not A == B + assert A != B + assert A != 10 + assert not A == 10 + + # A SparseMatrix can be equal to a Matrix + C = SparseMatrix(((1, 0, 0), (0, 1, 0), (0, 0, 1))) + D = Matrix(((1, 0, 0), (0, 1, 0), (0, 0, 1))) + assert C == D + assert not C != D + + +def test_col_join(): + assert eye(3).col_join(Matrix([[7, 7, 7]])) == \ + Matrix([[1, 0, 0], + [0, 1, 0], + [0, 0, 1], + [7, 7, 7]]) + + +def test_row_insert(): + r4 = Matrix([[4, 4, 4]]) + for i in range(-4, 5): + l = [1, 0, 0] + l.insert(i, 4) + assert flatten(eye(3).row_insert(i, r4).col(0).tolist()) == l + + +def test_col_insert(): + c4 = Matrix([4, 4, 4]) + for i in range(-4, 5): + l = [0, 0, 0] + l.insert(i, 4) + assert flatten(zeros(3).col_insert(i, c4).row(0).tolist()) == l + + +def test_normalized(): + assert Matrix([3, 4]).normalized() == \ + Matrix([Rational(3, 5), Rational(4, 5)]) + + # Zero vector trivial cases + assert Matrix([0, 0, 0]).normalized() == Matrix([0, 0, 0]) + + # Machine precision error truncation trivial cases + m = Matrix([0,0,1.e-100]) + assert m.normalized( + iszerofunc=lambda x: x.evalf(n=10, chop=True).is_zero + ) == Matrix([0, 0, 0]) + + +def test_print_nonzero(): + assert capture(lambda: eye(3).print_nonzero()) == \ + '[X ]\n[ X ]\n[ X]\n' + assert capture(lambda: eye(3).print_nonzero('.')) == \ + '[. ]\n[ . ]\n[ .]\n' + + +def test_zeros_eye(): + assert Matrix.eye(3) == eye(3) + assert Matrix.zeros(3) == zeros(3) + assert ones(3, 4) == Matrix(3, 4, [1]*12) + + i = Matrix([[1, 0], [0, 1]]) + z = Matrix([[0, 0], [0, 0]]) + for cls in classes: + m = cls.eye(2) + assert i == m # but m == i will fail if m is immutable + assert i == eye(2, cls=cls) + assert type(m) == cls + m = cls.zeros(2) + assert z == m + assert z == zeros(2, cls=cls) + assert type(m) == cls + + +def test_is_zero(): + assert Matrix().is_zero_matrix + assert Matrix([[0, 0], [0, 0]]).is_zero_matrix + assert zeros(3, 4).is_zero_matrix + assert not eye(3).is_zero_matrix + assert Matrix([[x, 0], [0, 0]]).is_zero_matrix == None + assert SparseMatrix([[x, 0], [0, 0]]).is_zero_matrix == None + assert ImmutableMatrix([[x, 0], [0, 0]]).is_zero_matrix == None + assert ImmutableSparseMatrix([[x, 0], [0, 0]]).is_zero_matrix == None + assert Matrix([[x, 1], [0, 0]]).is_zero_matrix == False + a = Symbol('a', nonzero=True) + assert Matrix([[a, 0], [0, 0]]).is_zero_matrix == False + + +def test_rotation_matrices(): + # This tests the rotation matrices by rotating about an axis and back. + theta = pi/3 + r3_plus = rot_axis3(theta) + r3_minus = rot_axis3(-theta) + r2_plus = rot_axis2(theta) + r2_minus = rot_axis2(-theta) + r1_plus = rot_axis1(theta) + r1_minus = rot_axis1(-theta) + assert r3_minus*r3_plus*eye(3) == eye(3) + assert r2_minus*r2_plus*eye(3) == eye(3) + assert r1_minus*r1_plus*eye(3) == eye(3) + + # Check the correctness of the trace of the rotation matrix + assert r1_plus.trace() == 1 + 2*cos(theta) + assert r2_plus.trace() == 1 + 2*cos(theta) + assert r3_plus.trace() == 1 + 2*cos(theta) + + # Check that a rotation with zero angle doesn't change anything. + assert rot_axis1(0) == eye(3) + assert rot_axis2(0) == eye(3) + assert rot_axis3(0) == eye(3) + + # Check left-hand convention + # see Issue #24529 + q1 = Quaternion.from_axis_angle([1, 0, 0], pi / 2) + q2 = Quaternion.from_axis_angle([0, 1, 0], pi / 2) + q3 = Quaternion.from_axis_angle([0, 0, 1], pi / 2) + assert rot_axis1(- pi / 2) == q1.to_rotation_matrix() + assert rot_axis2(- pi / 2) == q2.to_rotation_matrix() + assert rot_axis3(- pi / 2) == q3.to_rotation_matrix() + # Check right-hand convention + assert rot_ccw_axis1(+ pi / 2) == q1.to_rotation_matrix() + assert rot_ccw_axis2(+ pi / 2) == q2.to_rotation_matrix() + assert rot_ccw_axis3(+ pi / 2) == q3.to_rotation_matrix() + + +def test_DeferredVector(): + assert str(DeferredVector("vector")[4]) == "vector[4]" + assert sympify(DeferredVector("d")) == DeferredVector("d") + raises(IndexError, lambda: DeferredVector("d")[-1]) + assert str(DeferredVector("d")) == "d" + assert repr(DeferredVector("test")) == "DeferredVector('test')" + +def test_DeferredVector_not_iterable(): + assert not iterable(DeferredVector('X')) + +def test_DeferredVector_Matrix(): + raises(TypeError, lambda: Matrix(DeferredVector("V"))) + +def test_GramSchmidt(): + R = Rational + m1 = Matrix(1, 2, [1, 2]) + m2 = Matrix(1, 2, [2, 3]) + assert GramSchmidt([m1, m2]) == \ + [Matrix(1, 2, [1, 2]), Matrix(1, 2, [R(2)/5, R(-1)/5])] + assert GramSchmidt([m1.T, m2.T]) == \ + [Matrix(2, 1, [1, 2]), Matrix(2, 1, [R(2)/5, R(-1)/5])] + # from wikipedia + assert GramSchmidt([Matrix([3, 1]), Matrix([2, 2])], True) == [ + Matrix([3*sqrt(10)/10, sqrt(10)/10]), + Matrix([-sqrt(10)/10, 3*sqrt(10)/10])] + # https://github.com/sympy/sympy/issues/9488 + L = FiniteSet(Matrix([1])) + assert GramSchmidt(L) == [Matrix([[1]])] + + +def test_casoratian(): + assert casoratian([1, 2, 3, 4], 1) == 0 + assert casoratian([1, 2, 3, 4], 1, zero=False) == 0 + + +def test_zero_dimension_multiply(): + assert (Matrix()*zeros(0, 3)).shape == (0, 3) + assert zeros(3, 0)*zeros(0, 3) == zeros(3, 3) + assert zeros(0, 3)*zeros(3, 0) == Matrix() + + +def test_slice_issue_2884(): + m = Matrix(2, 2, range(4)) + assert m[1, :] == Matrix([[2, 3]]) + assert m[-1, :] == Matrix([[2, 3]]) + assert m[:, 1] == Matrix([[1, 3]]).T + assert m[:, -1] == Matrix([[1, 3]]).T + raises(IndexError, lambda: m[2, :]) + raises(IndexError, lambda: m[2, 2]) + + +def test_slice_issue_3401(): + assert zeros(0, 3)[:, -1].shape == (0, 1) + assert zeros(3, 0)[0, :] == Matrix(1, 0, []) + + +def test_copyin(): + s = zeros(3, 3) + s[3] = 1 + assert s[:, 0] == Matrix([0, 1, 0]) + assert s[3] == 1 + assert s[3: 4] == [1] + s[1, 1] = 42 + assert s[1, 1] == 42 + assert s[1, 1:] == Matrix([[42, 0]]) + s[1, 1:] = Matrix([[5, 6]]) + assert s[1, :] == Matrix([[1, 5, 6]]) + s[1, 1:] = [[42, 43]] + assert s[1, :] == Matrix([[1, 42, 43]]) + s[0, 0] = 17 + assert s[:, :1] == Matrix([17, 1, 0]) + s[0, 0] = [1, 1, 1] + assert s[:, 0] == Matrix([1, 1, 1]) + s[0, 0] = Matrix([1, 1, 1]) + assert s[:, 0] == Matrix([1, 1, 1]) + s[0, 0] = SparseMatrix([1, 1, 1]) + assert s[:, 0] == Matrix([1, 1, 1]) + + +def test_invertible_check(): + # sometimes a singular matrix will have a pivot vector shorter than + # the number of rows in a matrix... + assert Matrix([[1, 2], [1, 2]]).rref() == (Matrix([[1, 2], [0, 0]]), (0,)) + raises(ValueError, lambda: Matrix([[1, 2], [1, 2]]).inv()) + m = Matrix([ + [-1, -1, 0], + [ x, 1, 1], + [ 1, x, -1], + ]) + assert len(m.rref()[1]) != m.rows + # in addition, unless simplify=True in the call to rref, the identity + # matrix will be returned even though m is not invertible + assert m.rref()[0] != eye(3) + assert m.rref(simplify=signsimp)[0] != eye(3) + raises(ValueError, lambda: m.inv(method="ADJ")) + raises(ValueError, lambda: m.inv(method="GE")) + raises(ValueError, lambda: m.inv(method="LU")) + + +def test_issue_3959(): + x, y = symbols('x, y') + e = x*y + assert e.subs(x, Matrix([3, 5, 3])) == Matrix([3, 5, 3])*y + + +def test_issue_5964(): + assert str(Matrix([[1, 2], [3, 4]])) == 'Matrix([[1, 2], [3, 4]])' + + +def test_issue_7604(): + x, y = symbols("x y") + assert sstr(Matrix([[x, 2*y], [y**2, x + 3]])) == \ + 'Matrix([\n[ x, 2*y],\n[y**2, x + 3]])' + + +def test_is_Identity(): + assert eye(3).is_Identity + assert eye(3).as_immutable().is_Identity + assert not zeros(3).is_Identity + assert not ones(3).is_Identity + # issue 6242 + assert not Matrix([[1, 0, 0]]).is_Identity + # issue 8854 + assert SparseMatrix(3,3, {(0,0):1, (1,1):1, (2,2):1}).is_Identity + assert not SparseMatrix(2,3, range(6)).is_Identity + assert not SparseMatrix(3,3, {(0,0):1, (1,1):1}).is_Identity + assert not SparseMatrix(3,3, {(0,0):1, (1,1):1, (2,2):1, (0,1):2, (0,2):3}).is_Identity + + +def test_dot(): + assert ones(1, 3).dot(ones(3, 1)) == 3 + assert ones(1, 3).dot([1, 1, 1]) == 3 + assert Matrix([1, 2, 3]).dot(Matrix([1, 2, 3])) == 14 + assert Matrix([1, 2, 3*I]).dot(Matrix([I, 2, 3*I])) == -5 + I + assert Matrix([1, 2, 3*I]).dot(Matrix([I, 2, 3*I]), hermitian=False) == -5 + I + assert Matrix([1, 2, 3*I]).dot(Matrix([I, 2, 3*I]), hermitian=True) == 13 + I + assert Matrix([1, 2, 3*I]).dot(Matrix([I, 2, 3*I]), hermitian=True, conjugate_convention="physics") == 13 - I + assert Matrix([1, 2, 3*I]).dot(Matrix([4, 5*I, 6]), hermitian=True, conjugate_convention="right") == 4 + 8*I + assert Matrix([1, 2, 3*I]).dot(Matrix([4, 5*I, 6]), hermitian=True, conjugate_convention="left") == 4 - 8*I + assert Matrix([I, 2*I]).dot(Matrix([I, 2*I]), hermitian=False, conjugate_convention="left") == -5 + assert Matrix([I, 2*I]).dot(Matrix([I, 2*I]), conjugate_convention="left") == 5 + raises(ValueError, lambda: Matrix([1, 2]).dot(Matrix([3, 4]), hermitian=True, conjugate_convention="test")) + + +def test_dual(): + B_x, B_y, B_z, E_x, E_y, E_z = symbols( + 'B_x B_y B_z E_x E_y E_z', real=True) + F = Matrix(( + ( 0, E_x, E_y, E_z), + (-E_x, 0, B_z, -B_y), + (-E_y, -B_z, 0, B_x), + (-E_z, B_y, -B_x, 0) + )) + Fd = Matrix(( + ( 0, -B_x, -B_y, -B_z), + (B_x, 0, E_z, -E_y), + (B_y, -E_z, 0, E_x), + (B_z, E_y, -E_x, 0) + )) + assert F.dual().equals(Fd) + assert eye(3).dual().equals(zeros(3)) + assert F.dual().dual().equals(-F) + + +def test_anti_symmetric(): + assert Matrix([1, 2]).is_anti_symmetric() is False + m = Matrix(3, 3, [0, x**2 + 2*x + 1, y, -(x + 1)**2, 0, x*y, -y, -x*y, 0]) + assert m.is_anti_symmetric() is True + assert m.is_anti_symmetric(simplify=False) is None + assert m.is_anti_symmetric(simplify=lambda x: x) is None + + # tweak to fail + m[2, 1] = -m[2, 1] + assert m.is_anti_symmetric() is None + # untweak + m[2, 1] = -m[2, 1] + + m = m.expand() + assert m.is_anti_symmetric(simplify=False) is True + m[0, 0] = 1 + assert m.is_anti_symmetric() is False + + +def test_normalize_sort_diogonalization(): + A = Matrix(((1, 2), (2, 1))) + P, Q = A.diagonalize(normalize=True) + assert P*P.T == P.T*P == eye(P.cols) + P, Q = A.diagonalize(normalize=True, sort=True) + assert P*P.T == P.T*P == eye(P.cols) + assert P*Q*P.inv() == A + + +def test_issue_5321(): + raises(ValueError, lambda: Matrix([[1, 2, 3], Matrix(0, 1, [])])) + + +def test_issue_5320(): + assert Matrix.hstack(eye(2), 2*eye(2)) == Matrix([ + [1, 0, 2, 0], + [0, 1, 0, 2] + ]) + assert Matrix.vstack(eye(2), 2*eye(2)) == Matrix([ + [1, 0], + [0, 1], + [2, 0], + [0, 2] + ]) + cls = SparseMatrix + assert cls.hstack(cls(eye(2)), cls(2*eye(2))) == Matrix([ + [1, 0, 2, 0], + [0, 1, 0, 2] + ]) + +def test_issue_11944(): + A = Matrix([[1]]) + AIm = sympify(A) + assert Matrix.hstack(AIm, A) == Matrix([[1, 1]]) + assert Matrix.vstack(AIm, A) == Matrix([[1], [1]]) + +def test_cross(): + a = [1, 2, 3] + b = [3, 4, 5] + col = Matrix([-2, 4, -2]) + row = col.T + + def test(M, ans): + assert ans == M + assert type(M) == cls + for cls in classes: + A = cls(a) + B = cls(b) + test(A.cross(B), col) + test(A.cross(B.T), col) + test(A.T.cross(B.T), row) + test(A.T.cross(B), row) + raises(ShapeError, lambda: + Matrix(1, 2, [1, 1]).cross(Matrix(1, 2, [1, 1]))) + +def test_hat_vee(): + v1 = Matrix([x, y, z]) + v2 = Matrix([a, b, c]) + assert v1.hat() * v2 == v1.cross(v2) + assert v1.hat().is_anti_symmetric() + assert v1.hat().vee() == v1 + +def test_hash(): + for cls in classes[-2:]: + s = {cls.eye(1), cls.eye(1)} + assert len(s) == 1 and s.pop() == cls.eye(1) + # issue 3979 + for cls in classes[:2]: + assert not isinstance(cls.eye(1), Hashable) + + +@XFAIL +def test_issue_3979(): + # when this passes, delete this and change the [1:2] + # to [:2] in the test_hash above for issue 3979 + cls = classes[0] + raises(AttributeError, lambda: hash(cls.eye(1))) + + +def test_adjoint(): + dat = [[0, I], [1, 0]] + ans = Matrix([[0, 1], [-I, 0]]) + for cls in classes: + assert ans == cls(dat).adjoint() + + +def test_adjoint_with_operator(): + # Regression test for issue 25130: adjoint() should propagate to operators + import sympy.physics.quantum + a = sympy.physics.quantum.operator.Operator('a') + a_dag = sympy.physics.quantum.Dagger(a) + dat = [[0, I * a], [0, a_dag]] + ans = Matrix([[0, 0], [-I * a_dag, a]]) + for cls in classes: + assert ans == cls(dat).adjoint() + + +def test_simplify_immutable(): + assert simplify(ImmutableMatrix([[sin(x)**2 + cos(x)**2]])) == \ + ImmutableMatrix([[1]]) + +def test_replace(): + F, G = symbols('F, G', cls=Function) + K = Matrix(2, 2, lambda i, j: G(i+j)) + M = Matrix(2, 2, lambda i, j: F(i+j)) + N = M.replace(F, G) + assert N == K + + +def test_atoms(): + m = Matrix([[1, 2], [x, 1 - 1/x]]) + assert m.atoms() == {S.One,S(2),S.NegativeOne, x} + assert m.atoms(Symbol) == {x} + + +def test_pinv(): + # Pseudoinverse of an invertible matrix is the inverse. + A1 = Matrix([[a, b], [c, d]]) + assert simplify(A1.pinv(method="RD")) == simplify(A1.inv()) + + # Test the four properties of the pseudoinverse for various matrices. + As = [Matrix([[13, 104], [2212, 3], [-3, 5]]), + Matrix([[1, 7, 9], [11, 17, 19]]), + Matrix([a, b])] + + for A in As: + A_pinv = A.pinv(method="RD") + AAp = A * A_pinv + ApA = A_pinv * A + assert simplify(AAp * A) == A + assert simplify(ApA * A_pinv) == A_pinv + assert AAp.H == AAp + assert ApA.H == ApA + + # XXX Pinv with diagonalization makes expression too complicated. + for A in As: + A_pinv = simplify(A.pinv(method="ED")) + AAp = A * A_pinv + ApA = A_pinv * A + assert simplify(AAp * A) == A + assert simplify(ApA * A_pinv) == A_pinv + assert AAp.H == AAp + assert ApA.H == ApA + + # XXX Computing pinv using diagonalization makes an expression that + # is too complicated to simplify. + # A1 = Matrix([[a, b], [c, d]]) + # assert simplify(A1.pinv(method="ED")) == simplify(A1.inv()) + # so this is tested numerically at a fixed random point + + from sympy.core.numbers import comp + q = A1.pinv(method="ED") + w = A1.inv() + reps = {a: -73633, b: 11362, c: 55486, d: 62570} + assert all( + comp(i.n(), j.n()) + for i, j in zip(q.subs(reps), w.subs(reps)) + ) + + +@slow +def test_pinv_rank_deficient_when_diagonalization_fails(): + # Test the four properties of the pseudoinverse for matrices when + # diagonalization of A.H*A fails. + As = [ + Matrix([ + [61, 89, 55, 20, 71, 0], + [62, 96, 85, 85, 16, 0], + [69, 56, 17, 4, 54, 0], + [10, 54, 91, 41, 71, 0], + [ 7, 30, 10, 48, 90, 0], + [0, 0, 0, 0, 0, 0]]) + ] + for A in As: + A_pinv = A.pinv(method="ED") + AAp = A * A_pinv + ApA = A_pinv * A + assert AAp.H == AAp + + # Here ApA.H and ApA are equivalent expressions but they are very + # complicated expressions involving RootOfs. Using simplify would be + # too slow and so would evalf so we substitute approximate values for + # the RootOfs and then evalf which is less accurate but good enough to + # confirm that these two matrices are equivalent. + # + # assert ApA.H == ApA # <--- would fail (structural equality) + # assert simplify(ApA.H - ApA).is_zero_matrix # <--- too slow + # (ApA.H - ApA).evalf() # <--- too slow + + def allclose(M1, M2): + rootofs = M1.atoms(RootOf) + rootofs_approx = {r: r.evalf() for r in rootofs} + diff_approx = (M1 - M2).xreplace(rootofs_approx).evalf() + return all(abs(e) < 1e-10 for e in diff_approx) + + assert allclose(ApA.H, ApA) + + +def test_issue_7201(): + assert ones(0, 1) + ones(0, 1) == Matrix(0, 1, []) + assert ones(1, 0) + ones(1, 0) == Matrix(1, 0, []) + +def test_free_symbols(): + for M in ImmutableMatrix, ImmutableSparseMatrix, Matrix, SparseMatrix: + assert M([[x], [0]]).free_symbols == {x} + +def test_from_ndarray(): + """See issue 7465.""" + try: + from numpy import array + except ImportError: + skip('NumPy must be available to test creating matrices from ndarrays') + + assert Matrix(array([1, 2, 3])) == Matrix([1, 2, 3]) + assert Matrix(array([[1, 2, 3]])) == Matrix([[1, 2, 3]]) + assert Matrix(array([[1, 2, 3], [4, 5, 6]])) == \ + Matrix([[1, 2, 3], [4, 5, 6]]) + assert Matrix(array([x, y, z])) == Matrix([x, y, z]) + raises(NotImplementedError, + lambda: Matrix(array([[[1, 2], [3, 4]], [[5, 6], [7, 8]]]))) + assert Matrix([array([1, 2]), array([3, 4])]) == Matrix([[1, 2], [3, 4]]) + assert Matrix([array([1, 2]), [3, 4]]) == Matrix([[1, 2], [3, 4]]) + assert Matrix([array([]), array([])]) == Matrix(2, 0, []) != Matrix(0, 0, []) + +def test_17522_numpy(): + from sympy.matrices.common import _matrixify + try: + from numpy import array, matrix + except ImportError: + skip('NumPy must be available to test indexing matrixified NumPy ndarrays and matrices') + + m = _matrixify(array([[1, 2], [3, 4]])) + assert m[3] == 4 + assert list(m) == [1, 2, 3, 4] + + with ignore_warnings(PendingDeprecationWarning): + m = _matrixify(matrix([[1, 2], [3, 4]])) + assert m[3] == 4 + assert list(m) == [1, 2, 3, 4] + +def test_17522_mpmath(): + from sympy.matrices.common import _matrixify + try: + from mpmath import matrix + except ImportError: + skip('mpmath must be available to test indexing matrixified mpmath matrices') + + m = _matrixify(matrix([[1, 2], [3, 4]])) + assert m[3] == 4.0 + assert list(m) == [1.0, 2.0, 3.0, 4.0] + +def test_17522_scipy(): + from sympy.matrices.common import _matrixify + try: + from scipy.sparse import csr_matrix + except ImportError: + skip('SciPy must be available to test indexing matrixified SciPy sparse matrices') + + m = _matrixify(csr_matrix([[1, 2], [3, 4]])) + assert m[3] == 4 + assert list(m) == [1, 2, 3, 4] + +def test_hermitian(): + a = Matrix([[1, I], [-I, 1]]) + assert a.is_hermitian + a[0, 0] = 2*I + assert a.is_hermitian is False + a[0, 0] = x + assert a.is_hermitian is None + a[0, 1] = a[1, 0]*I + assert a.is_hermitian is False + b = HermitianOperator("b") + c = Operator("c") + assert Matrix([[b]]).is_hermitian is True + assert Matrix([[b, c], [Dagger(c), b]]).is_hermitian is True + assert Matrix([[b, c], [c, b]]).is_hermitian is False + assert Matrix([[b, c], [transpose(c), b]]).is_hermitian is False + +def test_doit(): + a = Matrix([[Add(x,x, evaluate=False)]]) + assert a[0] != 2*x + assert a.doit() == Matrix([[2*x]]) + +def test_issue_9457_9467_9876(): + # for row_del(index) + M = Matrix([[1, 2, 3], [2, 3, 4], [3, 4, 5]]) + M.row_del(1) + assert M == Matrix([[1, 2, 3], [3, 4, 5]]) + N = Matrix([[1, 2, 3], [2, 3, 4], [3, 4, 5]]) + N.row_del(-2) + assert N == Matrix([[1, 2, 3], [3, 4, 5]]) + O = Matrix([[1, 2, 3], [5, 6, 7], [9, 10, 11]]) + O.row_del(-1) + assert O == Matrix([[1, 2, 3], [5, 6, 7]]) + P = Matrix([[1, 2, 3], [2, 3, 4], [3, 4, 5]]) + raises(IndexError, lambda: P.row_del(10)) + Q = Matrix([[1, 2, 3], [2, 3, 4], [3, 4, 5]]) + raises(IndexError, lambda: Q.row_del(-10)) + + # for col_del(index) + M = Matrix([[1, 2, 3], [2, 3, 4], [3, 4, 5]]) + M.col_del(1) + assert M == Matrix([[1, 3], [2, 4], [3, 5]]) + N = Matrix([[1, 2, 3], [2, 3, 4], [3, 4, 5]]) + N.col_del(-2) + assert N == Matrix([[1, 3], [2, 4], [3, 5]]) + P = Matrix([[1, 2, 3], [2, 3, 4], [3, 4, 5]]) + raises(IndexError, lambda: P.col_del(10)) + Q = Matrix([[1, 2, 3], [2, 3, 4], [3, 4, 5]]) + raises(IndexError, lambda: Q.col_del(-10)) + +def test_issue_9422(): + x, y = symbols('x y', commutative=False) + a, b = symbols('a b') + M = eye(2) + M1 = Matrix(2, 2, [x, y, y, z]) + assert y*x*M != x*y*M + assert b*a*M == a*b*M + assert x*M1 != M1*x + assert a*M1 == M1*a + assert y*x*M == Matrix([[y*x, 0], [0, y*x]]) + + +def test_issue_10770(): + M = Matrix([]) + a = ['col_insert', 'row_join'], Matrix([9, 6, 3]) + b = ['row_insert', 'col_join'], a[1].T + c = ['row_insert', 'col_insert'], Matrix([[1, 2], [3, 4]]) + for ops, m in (a, b, c): + for op in ops: + f = getattr(M, op) + new = f(m) if 'join' in op else f(42, m) + assert new == m and id(new) != id(m) + + +def test_issue_10658(): + A = Matrix([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) + assert A.extract([0, 1, 2], [True, True, False]) == \ + Matrix([[1, 2], [4, 5], [7, 8]]) + assert A.extract([0, 1, 2], [True, False, False]) == Matrix([[1], [4], [7]]) + assert A.extract([True, False, False], [0, 1, 2]) == Matrix([[1, 2, 3]]) + assert A.extract([True, False, True], [0, 1, 2]) == \ + Matrix([[1, 2, 3], [7, 8, 9]]) + assert A.extract([0, 1, 2], [False, False, False]) == Matrix(3, 0, []) + assert A.extract([False, False, False], [0, 1, 2]) == Matrix(0, 3, []) + assert A.extract([True, False, True], [False, True, False]) == \ + Matrix([[2], [8]]) + +def test_opportunistic_simplification(): + # this test relates to issue #10718, #9480, #11434 + + # issue #9480 + m = Matrix([[-5 + 5*sqrt(2), -5], [-5*sqrt(2)/2 + 5, -5*sqrt(2)/2]]) + assert m.rank() == 1 + + # issue #10781 + m = Matrix([[3+3*sqrt(3)*I, -9],[4,-3+3*sqrt(3)*I]]) + assert simplify(m.rref()[0] - Matrix([[1, -9/(3 + 3*sqrt(3)*I)], [0, 0]])) == zeros(2, 2) + + # issue #11434 + ax,ay,bx,by,cx,cy,dx,dy,ex,ey,t0,t1 = symbols('a_x a_y b_x b_y c_x c_y d_x d_y e_x e_y t_0 t_1') + m = Matrix([[ax,ay,ax*t0,ay*t0,0],[bx,by,bx*t0,by*t0,0],[cx,cy,cx*t0,cy*t0,1],[dx,dy,dx*t0,dy*t0,1],[ex,ey,2*ex*t1-ex*t0,2*ey*t1-ey*t0,0]]) + assert m.rank() == 4 + +def test_partial_pivoting(): + # example from https://en.wikipedia.org/wiki/Pivot_element + # partial pivoting with back substitution gives a perfect result + # naive pivoting give an error ~1e-13, so anything better than + # 1e-15 is good + mm=Matrix([[0.003, 59.14, 59.17], [5.291, -6.13, 46.78]]) + assert (mm.rref()[0] - Matrix([[1.0, 0, 10.0], + [ 0, 1.0, 1.0]])).norm() < 1e-15 + + # issue #11549 + m_mixed = Matrix([[6e-17, 1.0, 4], + [ -1.0, 0, 8], + [ 0, 0, 1]]) + m_float = Matrix([[6e-17, 1.0, 4.], + [ -1.0, 0., 8.], + [ 0., 0., 1.]]) + m_inv = Matrix([[ 0, -1.0, 8.0], + [1.0, 6.0e-17, -4.0], + [ 0, 0, 1]]) + # this example is numerically unstable and involves a matrix with a norm >= 8, + # this comparing the difference of the results with 1e-15 is numerically sound. + assert (m_mixed.inv() - m_inv).norm() < 1e-15 + assert (m_float.inv() - m_inv).norm() < 1e-15 + +def test_iszero_substitution(): + """ When doing numerical computations, all elements that pass + the iszerofunc test should be set to numerically zero if they + aren't already. """ + + # Matrix from issue #9060 + m = Matrix([[0.9, -0.1, -0.2, 0],[-0.8, 0.9, -0.4, 0],[-0.1, -0.8, 0.6, 0]]) + m_rref = m.rref(iszerofunc=lambda x: abs(x)<6e-15)[0] + m_correct = Matrix([[1.0, 0, -0.301369863013699, 0],[ 0, 1.0, -0.712328767123288, 0],[ 0, 0, 0, 0]]) + m_diff = m_rref - m_correct + assert m_diff.norm() < 1e-15 + # if a zero-substitution wasn't made, this entry will be -1.11022302462516e-16 + assert m_rref[2,2] == 0 + +def test_issue_11238(): + from sympy.geometry.point import Point + xx = 8*tan(pi*Rational(13, 45))/(tan(pi*Rational(13, 45)) + sqrt(3)) + yy = (-8*sqrt(3)*tan(pi*Rational(13, 45))**2 + 24*tan(pi*Rational(13, 45)))/(-3 + tan(pi*Rational(13, 45))**2) + p1 = Point(0, 0) + p2 = Point(1, -sqrt(3)) + p0 = Point(xx,yy) + m1 = Matrix([p1 - simplify(p0), p2 - simplify(p0)]) + m2 = Matrix([p1 - p0, p2 - p0]) + m3 = Matrix([simplify(p1 - p0), simplify(p2 - p0)]) + + # This system has expressions which are zero and + # cannot be easily proved to be such, so without + # numerical testing, these assertions will fail. + Z = lambda x: abs(x.n()) < 1e-20 + assert m1.rank(simplify=True, iszerofunc=Z) == 1 + assert m2.rank(simplify=True, iszerofunc=Z) == 1 + assert m3.rank(simplify=True, iszerofunc=Z) == 1 + +def test_as_real_imag(): + m1 = Matrix(2,2,[1,2,3,4]) + m2 = m1*S.ImaginaryUnit + m3 = m1 + m2 + + for kls in classes: + a,b = kls(m3).as_real_imag() + assert list(a) == list(m1) + assert list(b) == list(m1) + +def test_deprecated(): + # Maintain tests for deprecated functions. We must capture + # the deprecation warnings. When the deprecated functionality is + # removed, the corresponding tests should be removed. + + m = Matrix(3, 3, [0, 1, 0, -4, 4, 0, -2, 1, 2]) + P, Jcells = m.jordan_cells() + assert Jcells[1] == Matrix(1, 1, [2]) + assert Jcells[0] == Matrix(2, 2, [2, 1, 0, 2]) + + +def test_issue_14489(): + from sympy.core.mod import Mod + A = Matrix([-1, 1, 2]) + B = Matrix([10, 20, -15]) + + assert Mod(A, 3) == Matrix([2, 1, 2]) + assert Mod(B, 4) == Matrix([2, 0, 1]) + +def test_issue_14943(): + # Test that __array__ accepts the optional dtype argument + try: + from numpy import array + except ImportError: + skip('NumPy must be available to test creating matrices from ndarrays') + + M = Matrix([[1,2], [3,4]]) + assert array(M, dtype=float).dtype.name == 'float64' + +def test_case_6913(): + m = MatrixSymbol('m', 1, 1) + a = Symbol("a") + a = m[0, 0]>0 + assert str(a) == 'm[0, 0] > 0' + +def test_issue_11948(): + A = MatrixSymbol('A', 3, 3) + a = Wild('a') + assert A.match(a) == {a: A} + +def test_gramschmidt_conjugate_dot(): + vecs = [Matrix([1, I]), Matrix([1, -I])] + assert Matrix.orthogonalize(*vecs) == \ + [Matrix([[1], [I]]), Matrix([[1], [-I]])] + + vecs = [Matrix([1, I, 0]), Matrix([I, 0, -I])] + assert Matrix.orthogonalize(*vecs) == \ + [Matrix([[1], [I], [0]]), Matrix([[I/2], [S(1)/2], [-I]])] + + mat = Matrix([[1, I], [1, -I]]) + Q, R = mat.QRdecomposition() + assert Q * Q.H == Matrix.eye(2) + +def test_issue_8207(): + a = Matrix(MatrixSymbol('a', 3, 1)) + b = Matrix(MatrixSymbol('b', 3, 1)) + c = a.dot(b) + d = diff(c, a[0, 0]) + e = diff(d, a[0, 0]) + assert d == b[0, 0] + assert e == 0 + +def test_func(): + from sympy.simplify.simplify import nthroot + + A = Matrix([[1, 2],[0, 3]]) + assert A.analytic_func(sin(x*t), x) == Matrix([[sin(t), sin(3*t) - sin(t)], [0, sin(3*t)]]) + + A = Matrix([[2, 1],[1, 2]]) + assert (pi * A / 6).analytic_func(cos(x), x) == Matrix([[sqrt(3)/4, -sqrt(3)/4], [-sqrt(3)/4, sqrt(3)/4]]) + + + raises(ValueError, lambda : zeros(5).analytic_func(log(x), x)) + raises(ValueError, lambda : (A*x).analytic_func(log(x), x)) + + A = Matrix([[0, -1, -2, 3], [0, -1, -2, 3], [0, 1, 0, -1], [0, 0, -1, 1]]) + assert A.analytic_func(exp(x), x) == A.exp() + raises(ValueError, lambda : A.analytic_func(sqrt(x), x)) + + A = Matrix([[41, 12],[12, 34]]) + assert simplify(A.analytic_func(sqrt(x), x)**2) == A + + A = Matrix([[3, -12, 4], [-1, 0, -2], [-1, 5, -1]]) + assert simplify(A.analytic_func(nthroot(x, 3), x)**3) == A + + A = Matrix([[2, 0, 0, 0], [1, 2, 0, 0], [0, 1, 3, 0], [0, 0, 1, 3]]) + assert A.analytic_func(exp(x), x) == A.exp() + + A = Matrix([[0, 2, 1, 6], [0, 0, 1, 2], [0, 0, 0, 3], [0, 0, 0, 0]]) + assert A.analytic_func(exp(x*t), x) == expand(simplify((A*t).exp())) + + +@skip_under_pyodide("Cannot create threads under pyodide.") +def test_issue_19809(): + + def f(): + assert _dotprodsimp_state.state == None + m = Matrix([[1]]) + m = m * m + return True + + with dotprodsimp(True): + with concurrent.futures.ThreadPoolExecutor() as executor: + future = executor.submit(f) + assert future.result() + + +def test_issue_23276(): + M = Matrix([x, y]) + assert integrate(M, (x, 0, 1), (y, 0, 1)) == Matrix([ + [S.Half], + [S.Half]]) + + +# SubspaceOnlyMatrix tests +def test_columnspace_one(): + m = SubspaceOnlyMatrix([[ 1, 2, 0, 2, 5], + [-2, -5, 1, -1, -8], + [ 0, -3, 3, 4, 1], + [ 3, 6, 0, -7, 2]]) + + basis = m.columnspace() + assert basis[0] == Matrix([1, -2, 0, 3]) + assert basis[1] == Matrix([2, -5, -3, 6]) + assert basis[2] == Matrix([2, -1, 4, -7]) + + assert len(basis) == 3 + assert Matrix.hstack(m, *basis).columnspace() == basis + + +def test_rowspace(): + m = SubspaceOnlyMatrix([[ 1, 2, 0, 2, 5], + [-2, -5, 1, -1, -8], + [ 0, -3, 3, 4, 1], + [ 3, 6, 0, -7, 2]]) + + basis = m.rowspace() + assert basis[0] == Matrix([[1, 2, 0, 2, 5]]) + assert basis[1] == Matrix([[0, -1, 1, 3, 2]]) + assert basis[2] == Matrix([[0, 0, 0, 5, 5]]) + + assert len(basis) == 3 + + +def test_nullspace_one(): + m = SubspaceOnlyMatrix([[ 1, 2, 0, 2, 5], + [-2, -5, 1, -1, -8], + [ 0, -3, 3, 4, 1], + [ 3, 6, 0, -7, 2]]) + + basis = m.nullspace() + assert basis[0] == Matrix([-2, 1, 1, 0, 0]) + assert basis[1] == Matrix([-1, -1, 0, -1, 1]) + # make sure the null space is really gets zeroed + assert all(e.is_zero for e in m*basis[0]) + assert all(e.is_zero for e in m*basis[1]) + + +# ReductionsOnlyMatrix tests +def test_row_op(): + e = eye_Reductions(3) + + raises(ValueError, lambda: e.elementary_row_op("abc")) + raises(ValueError, lambda: e.elementary_row_op()) + raises(ValueError, lambda: e.elementary_row_op('n->kn', row=5, k=5)) + raises(ValueError, lambda: e.elementary_row_op('n->kn', row=-5, k=5)) + raises(ValueError, lambda: e.elementary_row_op('n<->m', row1=1, row2=5)) + raises(ValueError, lambda: e.elementary_row_op('n<->m', row1=5, row2=1)) + raises(ValueError, lambda: e.elementary_row_op('n<->m', row1=-5, row2=1)) + raises(ValueError, lambda: e.elementary_row_op('n<->m', row1=1, row2=-5)) + raises(ValueError, lambda: e.elementary_row_op('n->n+km', row1=1, row2=5, k=5)) + raises(ValueError, lambda: e.elementary_row_op('n->n+km', row1=5, row2=1, k=5)) + raises(ValueError, lambda: e.elementary_row_op('n->n+km', row1=-5, row2=1, k=5)) + raises(ValueError, lambda: e.elementary_row_op('n->n+km', row1=1, row2=-5, k=5)) + raises(ValueError, lambda: e.elementary_row_op('n->n+km', row1=1, row2=1, k=5)) + + # test various ways to set arguments + assert e.elementary_row_op("n->kn", 0, 5) == Matrix([[5, 0, 0], [0, 1, 0], [0, 0, 1]]) + assert e.elementary_row_op("n->kn", 1, 5) == Matrix([[1, 0, 0], [0, 5, 0], [0, 0, 1]]) + assert e.elementary_row_op("n->kn", row=1, k=5) == Matrix([[1, 0, 0], [0, 5, 0], [0, 0, 1]]) + assert e.elementary_row_op("n->kn", row1=1, k=5) == Matrix([[1, 0, 0], [0, 5, 0], [0, 0, 1]]) + assert e.elementary_row_op("n<->m", 0, 1) == Matrix([[0, 1, 0], [1, 0, 0], [0, 0, 1]]) + assert e.elementary_row_op("n<->m", row1=0, row2=1) == Matrix([[0, 1, 0], [1, 0, 0], [0, 0, 1]]) + assert e.elementary_row_op("n<->m", row=0, row2=1) == Matrix([[0, 1, 0], [1, 0, 0], [0, 0, 1]]) + assert e.elementary_row_op("n->n+km", 0, 5, 1) == Matrix([[1, 5, 0], [0, 1, 0], [0, 0, 1]]) + assert e.elementary_row_op("n->n+km", row=0, k=5, row2=1) == Matrix([[1, 5, 0], [0, 1, 0], [0, 0, 1]]) + assert e.elementary_row_op("n->n+km", row1=0, k=5, row2=1) == Matrix([[1, 5, 0], [0, 1, 0], [0, 0, 1]]) + + # make sure the matrix doesn't change size + a = ReductionsOnlyMatrix(2, 3, [0]*6) + assert a.elementary_row_op("n->kn", 1, 5) == Matrix(2, 3, [0]*6) + assert a.elementary_row_op("n<->m", 0, 1) == Matrix(2, 3, [0]*6) + assert a.elementary_row_op("n->n+km", 0, 5, 1) == Matrix(2, 3, [0]*6) + + +def test_col_op(): + e = eye_Reductions(3) + + raises(ValueError, lambda: e.elementary_col_op("abc")) + raises(ValueError, lambda: e.elementary_col_op()) + raises(ValueError, lambda: e.elementary_col_op('n->kn', col=5, k=5)) + raises(ValueError, lambda: e.elementary_col_op('n->kn', col=-5, k=5)) + raises(ValueError, lambda: e.elementary_col_op('n<->m', col1=1, col2=5)) + raises(ValueError, lambda: e.elementary_col_op('n<->m', col1=5, col2=1)) + raises(ValueError, lambda: e.elementary_col_op('n<->m', col1=-5, col2=1)) + raises(ValueError, lambda: e.elementary_col_op('n<->m', col1=1, col2=-5)) + raises(ValueError, lambda: e.elementary_col_op('n->n+km', col1=1, col2=5, k=5)) + raises(ValueError, lambda: e.elementary_col_op('n->n+km', col1=5, col2=1, k=5)) + raises(ValueError, lambda: e.elementary_col_op('n->n+km', col1=-5, col2=1, k=5)) + raises(ValueError, lambda: e.elementary_col_op('n->n+km', col1=1, col2=-5, k=5)) + raises(ValueError, lambda: e.elementary_col_op('n->n+km', col1=1, col2=1, k=5)) + + # test various ways to set arguments + assert e.elementary_col_op("n->kn", 0, 5) == Matrix([[5, 0, 0], [0, 1, 0], [0, 0, 1]]) + assert e.elementary_col_op("n->kn", 1, 5) == Matrix([[1, 0, 0], [0, 5, 0], [0, 0, 1]]) + assert e.elementary_col_op("n->kn", col=1, k=5) == Matrix([[1, 0, 0], [0, 5, 0], [0, 0, 1]]) + assert e.elementary_col_op("n->kn", col1=1, k=5) == Matrix([[1, 0, 0], [0, 5, 0], [0, 0, 1]]) + assert e.elementary_col_op("n<->m", 0, 1) == Matrix([[0, 1, 0], [1, 0, 0], [0, 0, 1]]) + assert e.elementary_col_op("n<->m", col1=0, col2=1) == Matrix([[0, 1, 0], [1, 0, 0], [0, 0, 1]]) + assert e.elementary_col_op("n<->m", col=0, col2=1) == Matrix([[0, 1, 0], [1, 0, 0], [0, 0, 1]]) + assert e.elementary_col_op("n->n+km", 0, 5, 1) == Matrix([[1, 0, 0], [5, 1, 0], [0, 0, 1]]) + assert e.elementary_col_op("n->n+km", col=0, k=5, col2=1) == Matrix([[1, 0, 0], [5, 1, 0], [0, 0, 1]]) + assert e.elementary_col_op("n->n+km", col1=0, k=5, col2=1) == Matrix([[1, 0, 0], [5, 1, 0], [0, 0, 1]]) + + # make sure the matrix doesn't change size + a = ReductionsOnlyMatrix(2, 3, [0]*6) + assert a.elementary_col_op("n->kn", 1, 5) == Matrix(2, 3, [0]*6) + assert a.elementary_col_op("n<->m", 0, 1) == Matrix(2, 3, [0]*6) + assert a.elementary_col_op("n->n+km", 0, 5, 1) == Matrix(2, 3, [0]*6) + + +def test_is_echelon(): + zro = zeros_Reductions(3) + ident = eye_Reductions(3) + + assert zro.is_echelon + assert ident.is_echelon + + a = ReductionsOnlyMatrix(0, 0, []) + assert a.is_echelon + + a = ReductionsOnlyMatrix(2, 3, [3, 2, 1, 0, 0, 6]) + assert a.is_echelon + + a = ReductionsOnlyMatrix(2, 3, [0, 0, 6, 3, 2, 1]) + assert not a.is_echelon + + x = Symbol('x') + a = ReductionsOnlyMatrix(3, 1, [x, 0, 0]) + assert a.is_echelon + + a = ReductionsOnlyMatrix(3, 1, [x, x, 0]) + assert not a.is_echelon + + a = ReductionsOnlyMatrix(3, 3, [0, 0, 0, 1, 2, 3, 0, 0, 0]) + assert not a.is_echelon + + +def test_echelon_form(): + # echelon form is not unique, but the result + # must be row-equivalent to the original matrix + # and it must be in echelon form. + + a = zeros_Reductions(3) + e = eye_Reductions(3) + + # we can assume the zero matrix and the identity matrix shouldn't change + assert a.echelon_form() == a + assert e.echelon_form() == e + + a = ReductionsOnlyMatrix(0, 0, []) + assert a.echelon_form() == a + + a = ReductionsOnlyMatrix(1, 1, [5]) + assert a.echelon_form() == a + + # now we get to the real tests + + def verify_row_null_space(mat, rows, nulls): + for v in nulls: + assert all(t.is_zero for t in a_echelon*v) + for v in rows: + if not all(t.is_zero for t in v): + assert not all(t.is_zero for t in a_echelon*v.transpose()) + + a = ReductionsOnlyMatrix(3, 3, [1, 2, 3, 4, 5, 6, 7, 8, 9]) + nulls = [Matrix([ + [ 1], + [-2], + [ 1]])] + rows = [a[i, :] for i in range(a.rows)] + a_echelon = a.echelon_form() + assert a_echelon.is_echelon + verify_row_null_space(a, rows, nulls) + + + a = ReductionsOnlyMatrix(3, 3, [1, 2, 3, 4, 5, 6, 7, 8, 8]) + nulls = [] + rows = [a[i, :] for i in range(a.rows)] + a_echelon = a.echelon_form() + assert a_echelon.is_echelon + verify_row_null_space(a, rows, nulls) + + a = ReductionsOnlyMatrix(3, 3, [2, 1, 3, 0, 0, 0, 2, 1, 3]) + nulls = [Matrix([ + [Rational(-1, 2)], + [ 1], + [ 0]]), + Matrix([ + [Rational(-3, 2)], + [ 0], + [ 1]])] + rows = [a[i, :] for i in range(a.rows)] + a_echelon = a.echelon_form() + assert a_echelon.is_echelon + verify_row_null_space(a, rows, nulls) + + # this one requires a row swap + a = ReductionsOnlyMatrix(3, 3, [2, 1, 3, 0, 0, 0, 1, 1, 3]) + nulls = [Matrix([ + [ 0], + [ -3], + [ 1]])] + rows = [a[i, :] for i in range(a.rows)] + a_echelon = a.echelon_form() + assert a_echelon.is_echelon + verify_row_null_space(a, rows, nulls) + + a = ReductionsOnlyMatrix(3, 3, [0, 3, 3, 0, 2, 2, 0, 1, 1]) + nulls = [Matrix([ + [1], + [0], + [0]]), + Matrix([ + [ 0], + [-1], + [ 1]])] + rows = [a[i, :] for i in range(a.rows)] + a_echelon = a.echelon_form() + assert a_echelon.is_echelon + verify_row_null_space(a, rows, nulls) + + a = ReductionsOnlyMatrix(2, 3, [2, 2, 3, 3, 3, 0]) + nulls = [Matrix([ + [-1], + [1], + [0]])] + rows = [a[i, :] for i in range(a.rows)] + a_echelon = a.echelon_form() + assert a_echelon.is_echelon + verify_row_null_space(a, rows, nulls) + + +def test_rref(): + e = ReductionsOnlyMatrix(0, 0, []) + assert e.rref(pivots=False) == e + + e = ReductionsOnlyMatrix(1, 1, [1]) + a = ReductionsOnlyMatrix(1, 1, [5]) + assert e.rref(pivots=False) == a.rref(pivots=False) == e + + a = ReductionsOnlyMatrix(3, 1, [1, 2, 3]) + assert a.rref(pivots=False) == Matrix([[1], [0], [0]]) + + a = ReductionsOnlyMatrix(1, 3, [1, 2, 3]) + assert a.rref(pivots=False) == Matrix([[1, 2, 3]]) + + a = ReductionsOnlyMatrix(3, 3, [1, 2, 3, 4, 5, 6, 7, 8, 9]) + assert a.rref(pivots=False) == Matrix([ + [1, 0, -1], + [0, 1, 2], + [0, 0, 0]]) + + a = ReductionsOnlyMatrix(3, 3, [1, 2, 3, 1, 2, 3, 1, 2, 3]) + b = ReductionsOnlyMatrix(3, 3, [1, 2, 3, 0, 0, 0, 0, 0, 0]) + c = ReductionsOnlyMatrix(3, 3, [0, 0, 0, 1, 2, 3, 0, 0, 0]) + d = ReductionsOnlyMatrix(3, 3, [0, 0, 0, 0, 0, 0, 1, 2, 3]) + assert a.rref(pivots=False) == \ + b.rref(pivots=False) == \ + c.rref(pivots=False) == \ + d.rref(pivots=False) == b + + e = eye_Reductions(3) + z = zeros_Reductions(3) + assert e.rref(pivots=False) == e + assert z.rref(pivots=False) == z + + a = ReductionsOnlyMatrix([ + [ 0, 0, 1, 2, 2, -5, 3], + [-1, 5, 2, 2, 1, -7, 5], + [ 0, 0, -2, -3, -3, 8, -5], + [-1, 5, 0, -1, -2, 1, 0]]) + mat, pivot_offsets = a.rref() + assert mat == Matrix([ + [1, -5, 0, 0, 1, 1, -1], + [0, 0, 1, 0, 0, -1, 1], + [0, 0, 0, 1, 1, -2, 1], + [0, 0, 0, 0, 0, 0, 0]]) + assert pivot_offsets == (0, 2, 3) + + a = ReductionsOnlyMatrix([[Rational(1, 19), Rational(1, 5), 2, 3], + [ 4, 5, 6, 7], + [ 8, 9, 10, 11], + [ 12, 13, 14, 15]]) + assert a.rref(pivots=False) == Matrix([ + [1, 0, 0, Rational(-76, 157)], + [0, 1, 0, Rational(-5, 157)], + [0, 0, 1, Rational(238, 157)], + [0, 0, 0, 0]]) + + x = Symbol('x') + a = ReductionsOnlyMatrix(2, 3, [x, 1, 1, sqrt(x), x, 1]) + for i, j in zip(a.rref(pivots=False), + [1, 0, sqrt(x)*(-x + 1)/(-x**Rational(5, 2) + x), + 0, 1, 1/(sqrt(x) + x + 1)]): + assert simplify(i - j).is_zero + + +def test_rref_rhs(): + a, b, c, d = symbols('a b c d') + A = Matrix([[0, 0], [0, 0], [1, 2], [3, 4]]) + B = Matrix([a, b, c, d]) + assert A.rref_rhs(B) == (Matrix([ + [1, 0], + [0, 1], + [0, 0], + [0, 0]]), Matrix([ + [ -2*c + d], + [3*c/2 - d/2], + [ a], + [ b]])) + + +def test_issue_17827(): + C = Matrix([ + [3, 4, -1, 1], + [9, 12, -3, 3], + [0, 2, 1, 3], + [2, 3, 0, -2], + [0, 3, 3, -5], + [8, 15, 0, 6] + ]) + # Tests for row/col within valid range + D = C.elementary_row_op('n<->m', row1=2, row2=5) + E = C.elementary_row_op('n->n+km', row1=5, row2=3, k=-4) + F = C.elementary_row_op('n->kn', row=5, k=2) + assert(D[5, :] == Matrix([[0, 2, 1, 3]])) + assert(E[5, :] == Matrix([[0, 3, 0, 14]])) + assert(F[5, :] == Matrix([[16, 30, 0, 12]])) + # Tests for row/col out of range + raises(ValueError, lambda: C.elementary_row_op('n<->m', row1=2, row2=6)) + raises(ValueError, lambda: C.elementary_row_op('n->kn', row=7, k=2)) + raises(ValueError, lambda: C.elementary_row_op('n->n+km', row1=-1, row2=5, k=2)) + +def test_rank(): + m = Matrix([[1, 2], [x, 1 - 1/x]]) + assert m.rank() == 2 + n = Matrix(3, 3, range(1, 10)) + assert n.rank() == 2 + p = zeros(3) + assert p.rank() == 0 + +def test_issue_11434(): + ax, ay, bx, by, cx, cy, dx, dy, ex, ey, t0, t1 = \ + symbols('a_x a_y b_x b_y c_x c_y d_x d_y e_x e_y t_0 t_1') + M = Matrix([[ax, ay, ax*t0, ay*t0, 0], + [bx, by, bx*t0, by*t0, 0], + [cx, cy, cx*t0, cy*t0, 1], + [dx, dy, dx*t0, dy*t0, 1], + [ex, ey, 2*ex*t1 - ex*t0, 2*ey*t1 - ey*t0, 0]]) + assert M.rank() == 4 + +def test_rank_regression_from_so(): + # see: + # https://stackoverflow.com/questions/19072700/why-does-sympy-give-me-the-wrong-answer-when-i-row-reduce-a-symbolic-matrix + + nu, lamb = symbols('nu, lambda') + A = Matrix([[-3*nu, 1, 0, 0], + [ 3*nu, -2*nu - 1, 2, 0], + [ 0, 2*nu, (-1*nu) - lamb - 2, 3], + [ 0, 0, nu + lamb, -3]]) + expected_reduced = Matrix([[1, 0, 0, 1/(nu**2*(-lamb - nu))], + [0, 1, 0, 3/(nu*(-lamb - nu))], + [0, 0, 1, 3/(-lamb - nu)], + [0, 0, 0, 0]]) + expected_pivots = (0, 1, 2) + + reduced, pivots = A.rref() + + assert simplify(expected_reduced - reduced) == zeros(*A.shape) + assert pivots == expected_pivots + +def test_issue_15872(): + A = Matrix([[1, 1, 1, 0], [-2, -1, 0, -1], [0, 0, -1, -1], [0, 0, 2, 1]]) + B = A - Matrix.eye(4) * I + assert B.rank() == 3 + assert (B**2).rank() == 2 + assert (B**3).rank() == 2 diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/test_matrixbase.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/test_matrixbase.py new file mode 100644 index 0000000000000000000000000000000000000000..a77f51596c6622dc427feeeb9383214592fab632 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/test_matrixbase.py @@ -0,0 +1,3795 @@ +import concurrent.futures +import random +from collections.abc import Hashable + +from sympy import ( + Abs, Add, Array, DeferredVector, E, Expr, FiniteSet, Float, Function, + GramSchmidt, I, ImmutableDenseMatrix, ImmutableMatrix, + ImmutableSparseMatrix, Integer, KroneckerDelta, MatPow, Matrix, + MatrixSymbol, Max, Min, MutableDenseMatrix, MutableSparseMatrix, Poly, Pow, + PurePoly, Q, Quaternion, Rational, RootOf, S, SparseMatrix, Symbol, Tuple, + Wild, banded, casoratian, cos, diag, diff, exp, expand, eye, floor, hessian, + integrate, log, matrix_multiply_elementwise, nan, ones, oo, pi, randMatrix, + rot_axis1, rot_axis2, rot_axis3, rot_ccw_axis1, rot_ccw_axis2, + rot_ccw_axis3, signsimp, simplify, sin, sqrt, sstr, symbols, sympify, tan, + trigsimp, wronskian, zeros, cancel) +from sympy.abc import a, b, c, d, t, x, y, z +from sympy.core.kind import NumberKind, UndefinedKind +from sympy.matrices.determinant import _find_reasonable_pivot_naive +from sympy.matrices.exceptions import ( + MatrixError, NonSquareMatrixError, ShapeError) +from sympy.matrices.kind import MatrixKind +from sympy.matrices.utilities import _dotprodsimp_state, _simplify, dotprodsimp +from sympy.tensor.array.array_derivatives import ArrayDerivative +from sympy.testing.pytest import ( + ignore_warnings, raises, skip, skip_under_pyodide, slow, + warns_deprecated_sympy) +from sympy.utilities.iterables import capture, iterable +from importlib.metadata import version + +all_classes = (Matrix, SparseMatrix, ImmutableMatrix, ImmutableSparseMatrix) +mutable_classes = (Matrix, SparseMatrix) +immutable_classes = (ImmutableMatrix, ImmutableSparseMatrix) + + +def test__MinimalMatrix(): + x = Matrix(2, 3, [1, 2, 3, 4, 5, 6]) + assert x.rows == 2 + assert x.cols == 3 + assert x[2] == 3 + assert x[1, 1] == 5 + assert list(x) == [1, 2, 3, 4, 5, 6] + assert list(x[1, :]) == [4, 5, 6] + assert list(x[:, 1]) == [2, 5] + assert list(x[:, :]) == list(x) + assert x[:, :] == x + assert Matrix(x) == x + assert Matrix([[1, 2, 3], [4, 5, 6]]) == x + assert Matrix(([1, 2, 3], [4, 5, 6])) == x + assert Matrix([(1, 2, 3), (4, 5, 6)]) == x + assert Matrix(((1, 2, 3), (4, 5, 6))) == x + assert not (Matrix([[1, 2], [3, 4], [5, 6]]) == x) + + +def test_kind(): + assert Matrix([[1, 2], [3, 4]]).kind == MatrixKind(NumberKind) + assert Matrix([[0, 0], [0, 0]]).kind == MatrixKind(NumberKind) + assert Matrix(0, 0, []).kind == MatrixKind(NumberKind) + assert Matrix([[x]]).kind == MatrixKind(NumberKind) + assert Matrix([[1, Matrix([[1]])]]).kind == MatrixKind(UndefinedKind) + assert SparseMatrix([[1]]).kind == MatrixKind(NumberKind) + assert SparseMatrix([[1, Matrix([[1]])]]).kind == MatrixKind(UndefinedKind) + + +def test_todok(): + a, b, c, d = symbols('a:d') + m1 = MutableDenseMatrix([[a, b], [c, d]]) + m2 = ImmutableDenseMatrix([[a, b], [c, d]]) + m3 = MutableSparseMatrix([[a, b], [c, d]]) + m4 = ImmutableSparseMatrix([[a, b], [c, d]]) + assert m1.todok() == m2.todok() == m3.todok() == m4.todok() == \ + {(0, 0): a, (0, 1): b, (1, 0): c, (1, 1): d} + + +def test_tolist(): + lst = [[S.One, S.Half, x*y, S.Zero], [x, y, z, x**2], [y, -S.One, z*x, 3]] + flat_lst = [S.One, S.Half, x*y, S.Zero, x, y, z, x**2, y, -S.One, z*x, 3] + m = Matrix(3, 4, flat_lst) + assert m.tolist() == lst + + +def test_todod(): + m = Matrix([[S.One, 0], [0, S.Half], [x, 0]]) + dict = {0: {0: S.One}, 1: {1: S.Half}, 2: {0: x}} + assert m.todod() == dict + + +def test_row_col_del(): + e = ImmutableMatrix(3, 3, [1, 2, 3, 4, 5, 6, 7, 8, 9]) + raises(IndexError, lambda: e.row_del(5)) + raises(IndexError, lambda: e.row_del(-5)) + raises(IndexError, lambda: e.col_del(5)) + raises(IndexError, lambda: e.col_del(-5)) + + assert e.row_del(2) == e.row_del(-1) == Matrix([[1, 2, 3], [4, 5, 6]]) + assert e.col_del(2) == e.col_del(-1) == Matrix([[1, 2], [4, 5], [7, 8]]) + + assert e.row_del(1) == e.row_del(-2) == Matrix([[1, 2, 3], [7, 8, 9]]) + assert e.col_del(1) == e.col_del(-2) == Matrix([[1, 3], [4, 6], [7, 9]]) + + +def test_get_diag_blocks1(): + a = Matrix([[1, 2], [2, 3]]) + b = Matrix([[3, x], [y, 3]]) + c = Matrix([[3, x, 3], [y, 3, z], [x, y, z]]) + assert a.get_diag_blocks() == [a] + assert b.get_diag_blocks() == [b] + assert c.get_diag_blocks() == [c] + + +def test_get_diag_blocks2(): + a = Matrix([[1, 2], [2, 3]]) + b = Matrix([[3, x], [y, 3]]) + c = Matrix([[3, x, 3], [y, 3, z], [x, y, z]]) + A, B, C, D = diag(a, b, b), diag(a, b, c), diag(a, c, b), diag(c, c, b) + A = Matrix(A.rows, A.cols, A) + B = Matrix(B.rows, B.cols, B) + C = Matrix(C.rows, C.cols, C) + D = Matrix(D.rows, D.cols, D) + + assert A.get_diag_blocks() == [a, b, b] + assert B.get_diag_blocks() == [a, b, c] + assert C.get_diag_blocks() == [a, c, b] + assert D.get_diag_blocks() == [c, c, b] + + +def test_row_col(): + m = Matrix(3, 3, [1, 2, 3, 4, 5, 6, 7, 8, 9]) + assert m.row(0) == Matrix(1, 3, [1, 2, 3]) + assert m.col(0) == Matrix(3, 1, [1, 4, 7]) + + +def test_row_join(): + assert eye(3).row_join(Matrix([7, 7, 7])) == \ + Matrix([[1, 0, 0, 7], + [0, 1, 0, 7], + [0, 0, 1, 7]]) + + +def test_col_join(): + assert eye(3).col_join(Matrix([[7, 7, 7]])) == \ + Matrix([[1, 0, 0], + [0, 1, 0], + [0, 0, 1], + [7, 7, 7]]) + + +def test_row_insert(): + r4 = Matrix([[4, 4, 4]]) + for i in range(-4, 5): + l = [1, 0, 0] + l.insert(i, 4) + assert eye(3).row_insert(i, r4).col(0).flat() == l + + +def test_col_insert(): + c4 = Matrix([4, 4, 4]) + for i in range(-4, 5): + l = [0, 0, 0] + l.insert(i, 4) + assert zeros(3).col_insert(i, c4).row(0).flat() == l + # issue 13643 + assert eye(6).col_insert(3, Matrix([[2, 2], [2, 2], [2, 2], [2, 2], [2, 2], [2, 2]])) == \ + Matrix([[1, 0, 0, 2, 2, 0, 0, 0], + [0, 1, 0, 2, 2, 0, 0, 0], + [0, 0, 1, 2, 2, 0, 0, 0], + [0, 0, 0, 2, 2, 1, 0, 0], + [0, 0, 0, 2, 2, 0, 1, 0], + [0, 0, 0, 2, 2, 0, 0, 1]]) + + +def test_extract(): + m = Matrix(4, 3, lambda i, j: i*3 + j) + assert m.extract([0, 1, 3], [0, 1]) == Matrix(3, 2, [0, 1, 3, 4, 9, 10]) + assert m.extract([0, 3], [0, 0, 2]) == Matrix(2, 3, [0, 0, 2, 9, 9, 11]) + assert m.extract(range(4), range(3)) == m + raises(IndexError, lambda: m.extract([4], [0])) + raises(IndexError, lambda: m.extract([0], [3])) + + +def test_hstack(): + m = Matrix(4, 3, lambda i, j: i*3 + j) + m2 = Matrix(3, 4, lambda i, j: i*3 + j) + assert m == m.hstack(m) + assert m.hstack(m, m, m) == Matrix.hstack(m, m, m) == Matrix([ + [0, 1, 2, 0, 1, 2, 0, 1, 2], + [3, 4, 5, 3, 4, 5, 3, 4, 5], + [6, 7, 8, 6, 7, 8, 6, 7, 8], + [9, 10, 11, 9, 10, 11, 9, 10, 11]]) + raises(ShapeError, lambda: m.hstack(m, m2)) + assert Matrix.hstack() == Matrix() + + # test regression #12938 + M1 = Matrix.zeros(0, 0) + M2 = Matrix.zeros(0, 1) + M3 = Matrix.zeros(0, 2) + M4 = Matrix.zeros(0, 3) + m = Matrix.hstack(M1, M2, M3, M4) + assert m.rows == 0 and m.cols == 6 + + +def test_vstack(): + m = Matrix(4, 3, lambda i, j: i*3 + j) + m2 = Matrix(3, 4, lambda i, j: i*3 + j) + assert m == m.vstack(m) + assert m.vstack(m, m, m) == Matrix.vstack(m, m, m) == Matrix([ + [0, 1, 2], + [3, 4, 5], + [6, 7, 8], + [9, 10, 11], + [0, 1, 2], + [3, 4, 5], + [6, 7, 8], + [9, 10, 11], + [0, 1, 2], + [3, 4, 5], + [6, 7, 8], + [9, 10, 11]]) + raises(ShapeError, lambda: m.vstack(m, m2)) + assert Matrix.vstack() == Matrix() + + +def test_has(): + A = Matrix(((x, y), (2, 3))) + assert A.has(x) + assert not A.has(z) + assert A.has(Symbol) + + A = Matrix(((2, y), (2, 3))) + assert not A.has(x) + + +def test_is_anti_symmetric(): + x = symbols('x') + assert Matrix(2, 1, [1, 2]).is_anti_symmetric() is False + m = Matrix(3, 3, [0, x**2 + 2*x + 1, y, -(x + 1)**2, 0, x*y, -y, -x*y, 0]) + assert m.is_anti_symmetric() is True + assert m.is_anti_symmetric(simplify=False) is None + assert m.is_anti_symmetric(simplify=lambda x: x) is None + + m = Matrix(3, 3, [x.expand() for x in m]) + assert m.is_anti_symmetric(simplify=False) is True + m = Matrix(3, 3, [x.expand() for x in [S.One] + list(m)[1:]]) + assert m.is_anti_symmetric() is False + + +def test_is_hermitian(): + a = Matrix([[1, I], [-I, 1]]) + assert a.is_hermitian + a = Matrix([[2*I, I], [-I, 1]]) + assert a.is_hermitian is False + a = Matrix([[x, I], [-I, 1]]) + assert a.is_hermitian is None + a = Matrix([[x, 1], [-I, 1]]) + assert a.is_hermitian is False + + +def test_is_symbolic(): + a = Matrix([[x, x], [x, x]]) + assert a.is_symbolic() is True + a = Matrix([[1, 2, 3, 4], [5, 6, 7, 8]]) + assert a.is_symbolic() is False + a = Matrix([[1, 2, 3, 4], [5, 6, x, 8]]) + assert a.is_symbolic() is True + a = Matrix([[1, x, 3]]) + assert a.is_symbolic() is True + a = Matrix([[1, 2, 3]]) + assert a.is_symbolic() is False + a = Matrix([[1], [x], [3]]) + assert a.is_symbolic() is True + a = Matrix([[1], [2], [3]]) + assert a.is_symbolic() is False + + +def test_is_square(): + m = Matrix([[1], [1]]) + m2 = Matrix([[2, 2], [2, 2]]) + assert not m.is_square + assert m2.is_square + + +def test_is_symmetric(): + m = Matrix(2, 2, [0, 1, 1, 0]) + assert m.is_symmetric() + m = Matrix(2, 2, [0, 1, 0, 1]) + assert not m.is_symmetric() + + +def test_is_hessenberg(): + A = Matrix([[3, 4, 1], [2, 4, 5], [0, 1, 2]]) + assert A.is_upper_hessenberg + A = Matrix(3, 3, [3, 2, 0, 4, 4, 1, 1, 5, 2]) + assert A.is_lower_hessenberg + A = Matrix(3, 3, [3, 2, -1, 4, 4, 1, 1, 5, 2]) + assert A.is_lower_hessenberg is False + assert A.is_upper_hessenberg is False + + A = Matrix([[3, 4, 1], [2, 4, 5], [3, 1, 2]]) + assert not A.is_upper_hessenberg + + +def test_values(): + assert set(Matrix(2, 2, [0, 1, 2, 3] + ).values()) == {1, 2, 3} + x = Symbol('x', real=True) + assert set(Matrix(2, 2, [x, 0, 0, 1] + ).values()) == {x, 1} + + +def test_conjugate(): + M = Matrix([[0, I, 5], + [1, 2, 0]]) + + assert M.T == Matrix([[0, 1], + [I, 2], + [5, 0]]) + + assert M.C == Matrix([[0, -I, 5], + [1, 2, 0]]) + assert M.C == M.conjugate() + + assert M.H == M.T.C + assert M.H == Matrix([[ 0, 1], + [-I, 2], + [ 5, 0]]) + + +def test_doit(): + a = Matrix([[Add(x, x, evaluate=False)]]) + assert a[0] != 2*x + assert a.doit() == Matrix([[2*x]]) + + +def test_evalf(): + a = Matrix(2, 1, [sqrt(5), 6]) + assert all(a.evalf()[i] == a[i].evalf() for i in range(2)) + assert all(a.evalf(2)[i] == a[i].evalf(2) for i in range(2)) + assert all(a.n(2)[i] == a[i].n(2) for i in range(2)) + + +def test_replace(): + F, G = symbols('F, G', cls=Function) + K = Matrix(2, 2, lambda i, j: G(i+j)) + M = Matrix(2, 2, lambda i, j: F(i+j)) + N = M.replace(F, G) + assert N == K + + +def test_replace_map(): + F, G = symbols('F, G', cls=Function) + M = Matrix(2, 2, lambda i, j: F(i+j)) + N, d = M.replace(F, G, True) + assert N == Matrix(2, 2, lambda i, j: G(i+j)) + assert d == {F(0): G(0), F(1): G(1), F(2): G(2)} + +def test_numpy_conversion(): + try: + from numpy import array, array_equal + except ImportError: + skip('NumPy must be available to test creating matrices from ndarrays') + A = Matrix([[1,2], [3,4]]) + np_array = array([[1,2], [3,4]]) + assert array_equal(array(A), np_array) + assert array_equal(array(A, copy=True), np_array) + if(int(version('numpy').split('.')[0]) >= 2): #run this test only if numpy is new enough that copy variable is passed properly. + raises(TypeError, lambda: array(A, copy=False)) + +def test_rot90(): + A = Matrix([[1, 2], [3, 4]]) + assert A == A.rot90(0) == A.rot90(4) + assert A.rot90(2) == A.rot90(-2) == A.rot90(6) == Matrix(((4, 3), (2, 1))) + assert A.rot90(3) == A.rot90(-1) == A.rot90(7) == Matrix(((2, 4), (1, 3))) + assert A.rot90() == A.rot90(-7) == A.rot90(-3) == Matrix(((3, 1), (4, 2))) + + +def test_subs(): + assert Matrix([[1, x], [x, 4]]).subs(x, 5) == Matrix([[1, 5], [5, 4]]) + assert Matrix([[x, 2], [x + y, 4]]).subs([[x, -1], [y, -2]]) == \ + Matrix([[-1, 2], [-3, 4]]) + assert Matrix([[x, 2], [x + y, 4]]).subs([(x, -1), (y, -2)]) == \ + Matrix([[-1, 2], [-3, 4]]) + assert Matrix([[x, 2], [x + y, 4]]).subs({x: -1, y: -2}) == \ + Matrix([[-1, 2], [-3, 4]]) + assert Matrix([[x*y]]).subs({x: y - 1, y: x - 1}, simultaneous=True) == \ + Matrix([[(x - 1)*(y - 1)]]) + + +def test_permute(): + a = Matrix(3, 4, [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]) + + raises(IndexError, lambda: a.permute([[0, 5]])) + raises(ValueError, lambda: a.permute(Symbol('x'))) + b = a.permute_rows([[0, 2], [0, 1]]) + assert a.permute([[0, 2], [0, 1]]) == b == Matrix([ + [5, 6, 7, 8], + [9, 10, 11, 12], + [1, 2, 3, 4]]) + + b = a.permute_cols([[0, 2], [0, 1]]) + assert a.permute([[0, 2], [0, 1]], orientation='cols') == b ==\ + Matrix([ + [ 2, 3, 1, 4], + [ 6, 7, 5, 8], + [10, 11, 9, 12]]) + + b = a.permute_cols([[0, 2], [0, 1]], direction='backward') + assert a.permute([[0, 2], [0, 1]], orientation='cols', direction='backward') == b ==\ + Matrix([ + [ 3, 1, 2, 4], + [ 7, 5, 6, 8], + [11, 9, 10, 12]]) + + assert a.permute([1, 2, 0, 3]) == Matrix([ + [5, 6, 7, 8], + [9, 10, 11, 12], + [1, 2, 3, 4]]) + + from sympy.combinatorics import Permutation + assert a.permute(Permutation([1, 2, 0, 3])) == Matrix([ + [5, 6, 7, 8], + [9, 10, 11, 12], + [1, 2, 3, 4]]) + +def test_upper_triangular(): + + A = Matrix([ + [1, 1, 1, 1], + [1, 1, 1, 1], + [1, 1, 1, 1], + [1, 1, 1, 1] + ]) + + R = A.upper_triangular(2) + assert R == Matrix([ + [0, 0, 1, 1], + [0, 0, 0, 1], + [0, 0, 0, 0], + [0, 0, 0, 0] + ]) + + R = A.upper_triangular(-2) + assert R == Matrix([ + [1, 1, 1, 1], + [1, 1, 1, 1], + [1, 1, 1, 1], + [0, 1, 1, 1] + ]) + + R = A.upper_triangular() + assert R == Matrix([ + [1, 1, 1, 1], + [0, 1, 1, 1], + [0, 0, 1, 1], + [0, 0, 0, 1] + ]) + + +def test_lower_triangular(): + A = Matrix([ + [1, 1, 1, 1], + [1, 1, 1, 1], + [1, 1, 1, 1], + [1, 1, 1, 1] + ]) + + L = A.lower_triangular() + assert L == Matrix([ + [1, 0, 0, 0], + [1, 1, 0, 0], + [1, 1, 1, 0], + [1, 1, 1, 1]]) + + L = A.lower_triangular(2) + assert L == Matrix([ + [1, 1, 1, 0], + [1, 1, 1, 1], + [1, 1, 1, 1], + [1, 1, 1, 1] + ]) + + L = A.lower_triangular(-2) + assert L == Matrix([ + [0, 0, 0, 0], + [0, 0, 0, 0], + [1, 0, 0, 0], + [1, 1, 0, 0] + ]) + + +def test_add(): + m = Matrix([[1, 2, 3], [x, y, x], [2*y, -50, z*x]]) + assert m + m == Matrix([[2, 4, 6], [2*x, 2*y, 2*x], [4*y, -100, 2*z*x]]) + n = Matrix(1, 2, [1, 2]) + raises(ShapeError, lambda: m + n) + + +def test_matmul(): + a = Matrix([[1, 2], [3, 4]]) + + assert a.__matmul__(2) == NotImplemented + + assert a.__rmatmul__(2) == NotImplemented + + #This is done this way because @ is only supported in Python 3.5+ + #To check 2@a case + try: + eval('2 @ a') + except SyntaxError: + pass + except TypeError: #TypeError is raised in case of NotImplemented is returned + pass + + #Check a@2 case + try: + eval('a @ 2') + except SyntaxError: + pass + except TypeError: #TypeError is raised in case of NotImplemented is returned + pass + + +def test_non_matmul(): + """ + Test that if explicitly specified as non-matrix, mul reverts + to scalar multiplication. + """ + class foo(Expr): + is_Matrix=False + is_MatrixLike=False + shape = (1, 1) + + A = Matrix([[1, 2], [3, 4]]) + b = foo() + assert b*A == Matrix([[b, 2*b], [3*b, 4*b]]) + assert A*b == Matrix([[b, 2*b], [3*b, 4*b]]) + + +def test_neg(): + n = Matrix(1, 2, [1, 2]) + assert -n == Matrix(1, 2, [-1, -2]) + + +def test_sub(): + n = Matrix(1, 2, [1, 2]) + assert n - n == Matrix(1, 2, [0, 0]) + + +def test_div(): + n = Matrix(1, 2, [1, 2]) + assert n/2 == Matrix(1, 2, [S.Half, S(2)/2]) + + +def test_eye(): + assert list(Matrix.eye(2, 2)) == [1, 0, 0, 1] + assert list(Matrix.eye(2)) == [1, 0, 0, 1] + assert type(Matrix.eye(2)) == Matrix + assert type(Matrix.eye(2, cls=Matrix)) == Matrix + + +def test_ones(): + assert list(Matrix.ones(2, 2)) == [1, 1, 1, 1] + assert list(Matrix.ones(2)) == [1, 1, 1, 1] + assert Matrix.ones(2, 3) == Matrix([[1, 1, 1], [1, 1, 1]]) + assert type(Matrix.ones(2)) == Matrix + assert type(Matrix.ones(2, cls=Matrix)) == Matrix + + +def test_zeros(): + assert list(Matrix.zeros(2, 2)) == [0, 0, 0, 0] + assert list(Matrix.zeros(2)) == [0, 0, 0, 0] + assert Matrix.zeros(2, 3) == Matrix([[0, 0, 0], [0, 0, 0]]) + assert type(Matrix.zeros(2)) == Matrix + assert type(Matrix.zeros(2, cls=Matrix)) == Matrix + + +def test_diag_make(): + diag = Matrix.diag + a = Matrix([[1, 2], [2, 3]]) + b = Matrix([[3, x], [y, 3]]) + c = Matrix([[3, x, 3], [y, 3, z], [x, y, z]]) + assert diag(a, b, b) == Matrix([ + [1, 2, 0, 0, 0, 0], + [2, 3, 0, 0, 0, 0], + [0, 0, 3, x, 0, 0], + [0, 0, y, 3, 0, 0], + [0, 0, 0, 0, 3, x], + [0, 0, 0, 0, y, 3], + ]) + assert diag(a, b, c) == Matrix([ + [1, 2, 0, 0, 0, 0, 0], + [2, 3, 0, 0, 0, 0, 0], + [0, 0, 3, x, 0, 0, 0], + [0, 0, y, 3, 0, 0, 0], + [0, 0, 0, 0, 3, x, 3], + [0, 0, 0, 0, y, 3, z], + [0, 0, 0, 0, x, y, z], + ]) + assert diag(a, c, b) == Matrix([ + [1, 2, 0, 0, 0, 0, 0], + [2, 3, 0, 0, 0, 0, 0], + [0, 0, 3, x, 3, 0, 0], + [0, 0, y, 3, z, 0, 0], + [0, 0, x, y, z, 0, 0], + [0, 0, 0, 0, 0, 3, x], + [0, 0, 0, 0, 0, y, 3], + ]) + a = Matrix([x, y, z]) + b = Matrix([[1, 2], [3, 4]]) + c = Matrix([[5, 6]]) + # this "wandering diagonal" is what makes this + # a block diagonal where each block is independent + # of the others + assert diag(a, 7, b, c) == Matrix([ + [x, 0, 0, 0, 0, 0], + [y, 0, 0, 0, 0, 0], + [z, 0, 0, 0, 0, 0], + [0, 7, 0, 0, 0, 0], + [0, 0, 1, 2, 0, 0], + [0, 0, 3, 4, 0, 0], + [0, 0, 0, 0, 5, 6]]) + raises(ValueError, lambda: diag(a, 7, b, c, rows=5)) + assert diag(1) == Matrix([[1]]) + assert diag(1, rows=2) == Matrix([[1, 0], [0, 0]]) + assert diag(1, cols=2) == Matrix([[1, 0], [0, 0]]) + assert diag(1, rows=3, cols=2) == Matrix([[1, 0], [0, 0], [0, 0]]) + assert diag(*[2, 3]) == Matrix([ + [2, 0], + [0, 3]]) + assert diag(Matrix([2, 3])) == Matrix([ + [2], + [3]]) + assert diag([1, [2, 3], 4], unpack=False) == \ + diag([[1], [2, 3], [4]], unpack=False) == Matrix([ + [1, 0], + [2, 3], + [4, 0]]) + assert type(diag(1)) == Matrix + assert type(diag(1, cls=Matrix)) == Matrix + assert Matrix.diag([1, 2, 3]) == Matrix.diag(1, 2, 3) + assert Matrix.diag([1, 2, 3], unpack=False).shape == (3, 1) + assert Matrix.diag([[1, 2, 3]]).shape == (3, 1) + assert Matrix.diag([[1, 2, 3]], unpack=False).shape == (1, 3) + assert Matrix.diag([[[1, 2, 3]]]).shape == (1, 3) + # kerning can be used to move the starting point + assert Matrix.diag(ones(0, 2), 1, 2) == Matrix([ + [0, 0, 1, 0], + [0, 0, 0, 2]]) + assert Matrix.diag(ones(2, 0), 1, 2) == Matrix([ + [0, 0], + [0, 0], + [1, 0], + [0, 2]]) + + +def test_diagonal(): + m = Matrix(3, 3, range(9)) + d = m.diagonal() + assert d == m.diagonal(0) + assert tuple(d) == (0, 4, 8) + assert tuple(m.diagonal(1)) == (1, 5) + assert tuple(m.diagonal(-1)) == (3, 7) + assert tuple(m.diagonal(2)) == (2,) + assert type(m.diagonal()) == type(m) + s = SparseMatrix(3, 3, {(1, 1): 1}) + assert type(s.diagonal()) == type(s) + assert type(m) != type(s) + raises(ValueError, lambda: m.diagonal(3)) + raises(ValueError, lambda: m.diagonal(-3)) + raises(ValueError, lambda: m.diagonal(pi)) + M = ones(2, 3) + assert banded({i: list(M.diagonal(i)) + for i in range(1-M.rows, M.cols)}) == M + + +def test_jordan_block(): + assert Matrix.jordan_block(3, 2) == Matrix.jordan_block(3, eigenvalue=2) \ + == Matrix.jordan_block(size=3, eigenvalue=2) \ + == Matrix.jordan_block(3, 2, band='upper') \ + == Matrix.jordan_block( + size=3, eigenval=2, eigenvalue=2) \ + == Matrix([ + [2, 1, 0], + [0, 2, 1], + [0, 0, 2]]) + + assert Matrix.jordan_block(3, 2, band='lower') == Matrix([ + [2, 0, 0], + [1, 2, 0], + [0, 1, 2]]) + # missing eigenvalue + raises(ValueError, lambda: Matrix.jordan_block(2)) + # non-integral size + raises(ValueError, lambda: Matrix.jordan_block(3.5, 2)) + # size not specified + raises(ValueError, lambda: Matrix.jordan_block(eigenvalue=2)) + # inconsistent eigenvalue + raises(ValueError, + lambda: Matrix.jordan_block( + eigenvalue=2, eigenval=4)) + + # Using alias keyword + assert Matrix.jordan_block(size=3, eigenvalue=2) == \ + Matrix.jordan_block(size=3, eigenval=2) + + +def test_orthogonalize(): + m = Matrix([[1, 2], [3, 4]]) + assert m.orthogonalize(Matrix([[2], [1]])) == [Matrix([[2], [1]])] + assert m.orthogonalize(Matrix([[2], [1]]), normalize=True) == \ + [Matrix([[2*sqrt(5)/5], [sqrt(5)/5]])] + assert m.orthogonalize(Matrix([[1], [2]]), Matrix([[-1], [4]])) == \ + [Matrix([[1], [2]]), Matrix([[Rational(-12, 5)], [Rational(6, 5)]])] + assert m.orthogonalize(Matrix([[0], [0]]), Matrix([[-1], [4]])) == \ + [Matrix([[-1], [4]])] + assert m.orthogonalize(Matrix([[0], [0]])) == [] + + n = Matrix([[9, 1, 9], [3, 6, 10], [8, 5, 2]]) + vecs = [Matrix([[-5], [1]]), Matrix([[-5], [2]]), Matrix([[-5], [-2]])] + assert n.orthogonalize(*vecs) == \ + [Matrix([[-5], [1]]), Matrix([[Rational(5, 26)], [Rational(25, 26)]])] + + vecs = [Matrix([0, 0, 0]), Matrix([1, 2, 3]), Matrix([1, 4, 5])] + raises(ValueError, lambda: Matrix.orthogonalize(*vecs, rankcheck=True)) + + vecs = [Matrix([1, 2, 3]), Matrix([4, 5, 6]), Matrix([7, 8, 9])] + raises(ValueError, lambda: Matrix.orthogonalize(*vecs, rankcheck=True)) + +def test_wilkinson(): + + wminus, wplus = Matrix.wilkinson(1) + assert wminus == Matrix([ + [-1, 1, 0], + [1, 0, 1], + [0, 1, 1]]) + assert wplus == Matrix([ + [1, 1, 0], + [1, 0, 1], + [0, 1, 1]]) + + wminus, wplus = Matrix.wilkinson(3) + assert wminus == Matrix([ + [-3, 1, 0, 0, 0, 0, 0], + [1, -2, 1, 0, 0, 0, 0], + [0, 1, -1, 1, 0, 0, 0], + [0, 0, 1, 0, 1, 0, 0], + [0, 0, 0, 1, 1, 1, 0], + [0, 0, 0, 0, 1, 2, 1], + + [0, 0, 0, 0, 0, 1, 3]]) + + assert wplus == Matrix([ + [3, 1, 0, 0, 0, 0, 0], + [1, 2, 1, 0, 0, 0, 0], + [0, 1, 1, 1, 0, 0, 0], + [0, 0, 1, 0, 1, 0, 0], + [0, 0, 0, 1, 1, 1, 0], + [0, 0, 0, 0, 1, 2, 1], + [0, 0, 0, 0, 0, 1, 3]]) + + +def test_limit(): + x, y = symbols('x y') + m = Matrix(2, 1, [1/x, y]) + assert m.limit(x, 5) == Matrix(2, 1, [Rational(1, 5), y]) + A = Matrix(((1, 4, sin(x)/x), (y, 2, 4), (10, 5, x**2 + 1))) + assert A.limit(x, 0) == Matrix(((1, 4, 1), (y, 2, 4), (10, 5, 1))) + + +def test_issue_13774(): + M = Matrix([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) + v = [1, 1, 1] + raises(TypeError, lambda: M*v) + raises(TypeError, lambda: v*M) + + +def test_companion(): + x = Symbol('x') + y = Symbol('y') + raises(ValueError, lambda: Matrix.companion(1)) + raises(ValueError, lambda: Matrix.companion(Poly([1], x))) + raises(ValueError, lambda: Matrix.companion(Poly([2, 1], x))) + raises(ValueError, lambda: Matrix.companion(Poly(x*y, [x, y]))) + + c0, c1, c2 = symbols('c0:3') + assert Matrix.companion(Poly([1, c0], x)) == Matrix([-c0]) + assert Matrix.companion(Poly([1, c1, c0], x)) == \ + Matrix([[0, -c0], [1, -c1]]) + assert Matrix.companion(Poly([1, c2, c1, c0], x)) == \ + Matrix([[0, 0, -c0], [1, 0, -c1], [0, 1, -c2]]) + + +def test_issue_10589(): + x, y, z = symbols("x, y z") + M1 = Matrix([x, y, z]) + M1 = M1.subs(zip([x, y, z], [1, 2, 3])) + assert M1 == Matrix([[1], [2], [3]]) + + M2 = Matrix([[x, x, x, x, x], [x, x, x, x, x], [x, x, x, x, x]]) + M2 = M2.subs(zip([x], [1])) + assert M2 == Matrix([[1, 1, 1, 1, 1], [1, 1, 1, 1, 1], [1, 1, 1, 1, 1]]) + + +def test_rmul_pr19860(): + class Foo(ImmutableDenseMatrix): + _op_priority = MutableDenseMatrix._op_priority + 0.01 + + a = Matrix(2, 2, [1, 2, 3, 4]) + b = Foo(2, 2, [1, 2, 3, 4]) + + # This would throw a RecursionError: maximum recursion depth + # since b always has higher priority even after a.as_mutable() + c = a*b + + assert isinstance(c, Foo) + assert c == Matrix([[7, 10], [15, 22]]) + + +def test_issue_18956(): + A = Array([[1, 2], [3, 4]]) + B = Matrix([[1,2],[3,4]]) + raises(TypeError, lambda: B + A) + raises(TypeError, lambda: A + B) + + +def test__eq__(): + class My(object): + def __iter__(self): + yield 1 + yield 2 + return + def __getitem__(self, i): + return list(self)[i] + a = Matrix(2, 1, [1, 2]) + assert a != My() + class My_sympy(My): + def _sympy_(self): + return Matrix(self) + assert a == My_sympy() + + +def test_args(): + for n, cls in enumerate(all_classes): + m = cls.zeros(3, 2) + # all should give back the same type of arguments, e.g. ints for shape + assert m.shape == (3, 2) and all(type(i) is int for i in m.shape) + assert m.rows == 3 and type(m.rows) is int + assert m.cols == 2 and type(m.cols) is int + if not n % 2: + assert type(m.flat()) in (list, tuple, Tuple) + else: + assert type(m.todok()) is dict + + +def test_deprecated_mat_smat(): + for cls in Matrix, ImmutableMatrix: + m = cls.zeros(3, 2) + with warns_deprecated_sympy(): + mat = m._mat + assert mat == m.flat() + for cls in SparseMatrix, ImmutableSparseMatrix: + m = cls.zeros(3, 2) + with warns_deprecated_sympy(): + smat = m._smat + assert smat == m.todok() + + +def test_division(): + v = Matrix(1, 2, [x, y]) + assert v/z == Matrix(1, 2, [x/z, y/z]) + + +def test_sum(): + m = Matrix([[1, 2, 3], [x, y, x], [2*y, -50, z*x]]) + assert m + m == Matrix([[2, 4, 6], [2*x, 2*y, 2*x], [4*y, -100, 2*z*x]]) + n = Matrix(1, 2, [1, 2]) + raises(ShapeError, lambda: m + n) + + +def test_abs(): + m = Matrix([[1, -2], [x, y]]) + assert abs(m) == Matrix([[1, 2], [Abs(x), Abs(y)]]) + m = Matrix(1, 2, [-3, x]) + n = Matrix(1, 2, [3, Abs(x)]) + assert abs(m) == n + + +def test_addition(): + a = Matrix(( + (1, 2), + (3, 1), + )) + + b = Matrix(( + (1, 2), + (3, 0), + )) + + assert a + b == a.add(b) == Matrix([[2, 4], [6, 1]]) + + +def test_fancy_index_matrix(): + for M in (Matrix, SparseMatrix): + a = M(3, 3, range(9)) + assert a == a[:, :] + assert a[1, :] == Matrix(1, 3, [3, 4, 5]) + assert a[:, 1] == Matrix([1, 4, 7]) + assert a[[0, 1], :] == Matrix([[0, 1, 2], [3, 4, 5]]) + assert a[[0, 1], 2] == a[[0, 1], [2]] + assert a[2, [0, 1]] == a[[2], [0, 1]] + assert a[:, [0, 1]] == Matrix([[0, 1], [3, 4], [6, 7]]) + assert a[0, 0] == 0 + assert a[0:2, :] == Matrix([[0, 1, 2], [3, 4, 5]]) + assert a[:, 0:2] == Matrix([[0, 1], [3, 4], [6, 7]]) + assert a[::2, 1] == a[[0, 2], 1] + assert a[1, ::2] == a[1, [0, 2]] + a = M(3, 3, range(9)) + assert a[[0, 2, 1, 2, 1], :] == Matrix([ + [0, 1, 2], + [6, 7, 8], + [3, 4, 5], + [6, 7, 8], + [3, 4, 5]]) + assert a[:, [0,2,1,2,1]] == Matrix([ + [0, 2, 1, 2, 1], + [3, 5, 4, 5, 4], + [6, 8, 7, 8, 7]]) + + a = SparseMatrix.zeros(3) + a[1, 2] = 2 + a[0, 1] = 3 + a[2, 0] = 4 + assert a.extract([1, 1], [2]) == Matrix([ + [2], + [2]]) + assert a.extract([1, 0], [2, 2, 2]) == Matrix([ + [2, 2, 2], + [0, 0, 0]]) + assert a.extract([1, 0, 1, 2], [2, 0, 1, 0]) == Matrix([ + [2, 0, 0, 0], + [0, 0, 3, 0], + [2, 0, 0, 0], + [0, 4, 0, 4]]) + + +def test_multiplication(): + a = Matrix(( + (1, 2), + (3, 1), + (0, 6), + )) + + b = Matrix(( + (1, 2), + (3, 0), + )) + + raises(ShapeError, lambda: b*a) + raises(TypeError, lambda: a*{}) + + c = a*b + assert c[0, 0] == 7 + assert c[0, 1] == 2 + assert c[1, 0] == 6 + assert c[1, 1] == 6 + assert c[2, 0] == 18 + assert c[2, 1] == 0 + + c = a @ b + assert c[0, 0] == 7 + assert c[0, 1] == 2 + assert c[1, 0] == 6 + assert c[1, 1] == 6 + assert c[2, 0] == 18 + assert c[2, 1] == 0 + + h = matrix_multiply_elementwise(a, c) + assert h == a.multiply_elementwise(c) + assert h[0, 0] == 7 + assert h[0, 1] == 4 + assert h[1, 0] == 18 + assert h[1, 1] == 6 + assert h[2, 0] == 0 + assert h[2, 1] == 0 + raises(ShapeError, lambda: matrix_multiply_elementwise(a, b)) + + c = b * Symbol("x") + assert isinstance(c, Matrix) + assert c[0, 0] == x + assert c[0, 1] == 2*x + assert c[1, 0] == 3*x + assert c[1, 1] == 0 + + c2 = x * b + assert c == c2 + + c = 5 * b + assert isinstance(c, Matrix) + assert c[0, 0] == 5 + assert c[0, 1] == 2*5 + assert c[1, 0] == 3*5 + assert c[1, 1] == 0 + + M = Matrix([[oo, 0], [0, oo]]) + assert M ** 2 == M + + M = Matrix([[oo, oo], [0, 0]]) + assert M ** 2 == Matrix([[nan, nan], [nan, nan]]) + + # https://github.com/sympy/sympy/issues/22353 + A = Matrix(ones(3, 1)) + _h = -Rational(1, 2) + B = Matrix([_h, _h, _h]) + assert A.multiply_elementwise(B) == Matrix([ + [_h], + [_h], + [_h]]) + + +def test_power(): + raises(NonSquareMatrixError, lambda: Matrix((1, 2))**2) + + A = Matrix([[2, 3], [4, 5]]) + assert A**5 == Matrix([[6140, 8097], [10796, 14237]]) + A = Matrix([[2, 1, 3], [4, 2, 4], [6, 12, 1]]) + assert A**3 == Matrix([[290, 262, 251], [448, 440, 368], [702, 954, 433]]) + assert A**0 == eye(3) + assert A**1 == A + assert (Matrix([[2]]) ** 100)[0, 0] == 2**100 + assert Matrix([[1, 2], [3, 4]])**Integer(2) == Matrix([[7, 10], [15, 22]]) + A = Matrix([[1,2],[4,5]]) + assert A.pow(20, method='cayley') == A.pow(20, method='multiply') + assert A**Integer(2) == Matrix([[9, 12], [24, 33]]) + assert eye(2)**10000000 == eye(2) + + A = Matrix([[33, 24], [48, 57]]) + assert (A**S.Half)[:] == [5, 2, 4, 7] + A = Matrix([[0, 4], [-1, 5]]) + assert (A**S.Half)**2 == A + + assert Matrix([[1, 0], [1, 1]])**S.Half == Matrix([[1, 0], [S.Half, 1]]) + assert Matrix([[1, 0], [1, 1]])**0.5 == Matrix([[1, 0], [0.5, 1]]) + from sympy.abc import n + assert Matrix([[1, a], [0, 1]])**n == Matrix([[1, a*n], [0, 1]]) + assert Matrix([[b, a], [0, b]])**n == Matrix([[b**n, a*b**(n-1)*n], [0, b**n]]) + assert Matrix([ + [a**n, a**(n - 1)*n, (a**n*n**2 - a**n*n)/(2*a**2)], + [ 0, a**n, a**(n - 1)*n], + [ 0, 0, a**n]]) + assert Matrix([[a, 1, 0], [0, a, 0], [0, 0, b]])**n == Matrix([ + [a**n, a**(n-1)*n, 0], + [0, a**n, 0], + [0, 0, b**n]]) + + A = Matrix([[1, 0], [1, 7]]) + assert A._matrix_pow_by_jordan_blocks(S(3)) == A._eval_pow_by_recursion(3) + A = Matrix([[2]]) + assert A**10 == Matrix([[2**10]]) == A._matrix_pow_by_jordan_blocks(S(10)) == \ + A._eval_pow_by_recursion(10) + + # testing a matrix that cannot be jordan blocked issue 11766 + m = Matrix([[3, 0, 0, 0, -3], [0, -3, -3, 0, 3], [0, 3, 0, 3, 0], [0, 0, 3, 0, 3], [3, 0, 0, 3, 0]]) + raises(MatrixError, lambda: m._matrix_pow_by_jordan_blocks(S(10))) + + # test issue 11964 + raises(MatrixError, lambda: Matrix([[1, 1], [3, 3]])._matrix_pow_by_jordan_blocks(S(-10))) + A = Matrix([[0, 1, 0], [0, 0, 1], [0, 0, 0]]) # Nilpotent jordan block size 3 + assert A**10.0 == Matrix([[0, 0, 0], [0, 0, 0], [0, 0, 0]]) + raises(ValueError, lambda: A**2.1) + raises(ValueError, lambda: A**Rational(3, 2)) + A = Matrix([[8, 1], [3, 2]]) + assert A**10.0 == Matrix([[1760744107, 272388050], [817164150, 126415807]]) + A = Matrix([[0, 0, 1], [0, 0, 1], [0, 0, 1]]) # Nilpotent jordan block size 1 + assert A**10.0 == Matrix([[0, 0, 1], [0, 0, 1], [0, 0, 1]]) + A = Matrix([[0, 1, 0], [0, 0, 1], [0, 0, 1]]) # Nilpotent jordan block size 2 + assert A**10.0 == Matrix([[0, 0, 1], [0, 0, 1], [0, 0, 1]]) + n = Symbol('n', integer=True) + assert isinstance(A**n, MatPow) + n = Symbol('n', integer=True, negative=True) + raises(ValueError, lambda: A**n) + n = Symbol('n', integer=True, nonnegative=True) + assert A**n == Matrix([ + [KroneckerDelta(0, n), KroneckerDelta(1, n), -KroneckerDelta(0, n) - KroneckerDelta(1, n) + 1], + [ 0, KroneckerDelta(0, n), 1 - KroneckerDelta(0, n)], + [ 0, 0, 1]]) + assert A**(n + 2) == Matrix([[0, 0, 1], [0, 0, 1], [0, 0, 1]]) + raises(ValueError, lambda: A**Rational(3, 2)) + A = Matrix([[0, 0, 1], [3, 0, 1], [4, 3, 1]]) + assert A**5.0 == Matrix([[168, 72, 89], [291, 144, 161], [572, 267, 329]]) + assert A**5.0 == A**5 + A = Matrix([[0, 1, 0],[-1, 0, 0],[0, 0, 0]]) + n = Symbol("n") + An = A**n + assert An.subs(n, 2).doit() == A**2 + raises(ValueError, lambda: An.subs(n, -2).doit()) + assert An * An == A**(2*n) + + # concretizing behavior for non-integer and complex powers + A = Matrix([[0,0,0],[0,0,0],[0,0,0]]) + n = Symbol('n', integer=True, positive=True) + assert A**n == A + n = Symbol('n', integer=True, nonnegative=True) + assert A**n == diag(0**n, 0**n, 0**n) + assert (A**n).subs(n, 0) == eye(3) + assert (A**n).subs(n, 1) == zeros(3) + A = Matrix ([[2,0,0],[0,2,0],[0,0,2]]) + assert A**2.1 == diag (2**2.1, 2**2.1, 2**2.1) + assert A**I == diag (2**I, 2**I, 2**I) + A = Matrix([[0, 1, 0], [0, 0, 1], [0, 0, 1]]) + raises(ValueError, lambda: A**2.1) + raises(ValueError, lambda: A**I) + A = Matrix([[S.Half, S.Half], [S.Half, S.Half]]) + assert A**S.Half == A + A = Matrix([[1, 1],[3, 3]]) + assert A**S.Half == Matrix ([[S.Half, S.Half], [3*S.Half, 3*S.Half]]) + + +def test_issue_17247_expression_blowup_1(): + M = Matrix([[1+x, 1-x], [1-x, 1+x]]) + with dotprodsimp(True): + assert M.exp().expand() == Matrix([ + [ (exp(2*x) + exp(2))/2, (-exp(2*x) + exp(2))/2], + [(-exp(2*x) + exp(2))/2, (exp(2*x) + exp(2))/2]]) + + +def test_issue_17247_expression_blowup_2(): + M = Matrix([[1+x, 1-x], [1-x, 1+x]]) + with dotprodsimp(True): + P, J = M.jordan_form () + assert P*J*P.inv() + + +def test_issue_17247_expression_blowup_3(): + M = Matrix([[1+x, 1-x], [1-x, 1+x]]) + with dotprodsimp(True): + assert M**100 == Matrix([ + [633825300114114700748351602688*x**100 + 633825300114114700748351602688, 633825300114114700748351602688 - 633825300114114700748351602688*x**100], + [633825300114114700748351602688 - 633825300114114700748351602688*x**100, 633825300114114700748351602688*x**100 + 633825300114114700748351602688]]) + + +def test_issue_17247_expression_blowup_4(): +# This matrix takes extremely long on current master even with intermediate simplification so an abbreviated version is used. It is left here for test in case of future optimizations. +# M = Matrix(S('''[ +# [ -3/4, 45/32 - 37*I/16, 1/4 + I/2, -129/64 - 9*I/64, 1/4 - 5*I/16, 65/128 + 87*I/64, -9/32 - I/16, 183/256 - 97*I/128, 3/64 + 13*I/64, -23/32 - 59*I/256, 15/128 - 3*I/32, 19/256 + 551*I/1024], +# [-149/64 + 49*I/32, -177/128 - 1369*I/128, 125/64 + 87*I/64, -2063/256 + 541*I/128, 85/256 - 33*I/16, 805/128 + 2415*I/512, -219/128 + 115*I/256, 6301/4096 - 6609*I/1024, 119/128 + 143*I/128, -10879/2048 + 4343*I/4096, 129/256 - 549*I/512, 42533/16384 + 29103*I/8192], +# [ 1/2 - I, 9/4 + 55*I/16, -3/4, 45/32 - 37*I/16, 1/4 + I/2, -129/64 - 9*I/64, 1/4 - 5*I/16, 65/128 + 87*I/64, -9/32 - I/16, 183/256 - 97*I/128, 3/64 + 13*I/64, -23/32 - 59*I/256], +# [ -5/8 - 39*I/16, 2473/256 + 137*I/64, -149/64 + 49*I/32, -177/128 - 1369*I/128, 125/64 + 87*I/64, -2063/256 + 541*I/128, 85/256 - 33*I/16, 805/128 + 2415*I/512, -219/128 + 115*I/256, 6301/4096 - 6609*I/1024, 119/128 + 143*I/128, -10879/2048 + 4343*I/4096], +# [ 1 + I, -19/4 + 5*I/4, 1/2 - I, 9/4 + 55*I/16, -3/4, 45/32 - 37*I/16, 1/4 + I/2, -129/64 - 9*I/64, 1/4 - 5*I/16, 65/128 + 87*I/64, -9/32 - I/16, 183/256 - 97*I/128], +# [ 21/8 + I, -537/64 + 143*I/16, -5/8 - 39*I/16, 2473/256 + 137*I/64, -149/64 + 49*I/32, -177/128 - 1369*I/128, 125/64 + 87*I/64, -2063/256 + 541*I/128, 85/256 - 33*I/16, 805/128 + 2415*I/512, -219/128 + 115*I/256, 6301/4096 - 6609*I/1024], +# [ -2, 17/4 - 13*I/2, 1 + I, -19/4 + 5*I/4, 1/2 - I, 9/4 + 55*I/16, -3/4, 45/32 - 37*I/16, 1/4 + I/2, -129/64 - 9*I/64, 1/4 - 5*I/16, 65/128 + 87*I/64], +# [ 1/4 + 13*I/4, -825/64 - 147*I/32, 21/8 + I, -537/64 + 143*I/16, -5/8 - 39*I/16, 2473/256 + 137*I/64, -149/64 + 49*I/32, -177/128 - 1369*I/128, 125/64 + 87*I/64, -2063/256 + 541*I/128, 85/256 - 33*I/16, 805/128 + 2415*I/512], +# [ -4*I, 27/2 + 6*I, -2, 17/4 - 13*I/2, 1 + I, -19/4 + 5*I/4, 1/2 - I, 9/4 + 55*I/16, -3/4, 45/32 - 37*I/16, 1/4 + I/2, -129/64 - 9*I/64], +# [ 1/4 + 5*I/2, -23/8 - 57*I/16, 1/4 + 13*I/4, -825/64 - 147*I/32, 21/8 + I, -537/64 + 143*I/16, -5/8 - 39*I/16, 2473/256 + 137*I/64, -149/64 + 49*I/32, -177/128 - 1369*I/128, 125/64 + 87*I/64, -2063/256 + 541*I/128], +# [ -4, 9 - 5*I, -4*I, 27/2 + 6*I, -2, 17/4 - 13*I/2, 1 + I, -19/4 + 5*I/4, 1/2 - I, 9/4 + 55*I/16, -3/4, 45/32 - 37*I/16], +# [ -2*I, 119/8 + 29*I/4, 1/4 + 5*I/2, -23/8 - 57*I/16, 1/4 + 13*I/4, -825/64 - 147*I/32, 21/8 + I, -537/64 + 143*I/16, -5/8 - 39*I/16, 2473/256 + 137*I/64, -149/64 + 49*I/32, -177/128 - 1369*I/128]]''')) +# assert M**10 == Matrix([ +# [ 7*(-221393644768594642173548179825793834595 - 1861633166167425978847110897013541127952*I)/9671406556917033397649408, 15*(31670992489131684885307005100073928751695 + 10329090958303458811115024718207404523808*I)/77371252455336267181195264, 7*(-3710978679372178839237291049477017392703 + 1377706064483132637295566581525806894169*I)/19342813113834066795298816, (9727707023582419994616144751727760051598 - 59261571067013123836477348473611225724433*I)/9671406556917033397649408, (31896723509506857062605551443641668183707 + 54643444538699269118869436271152084599580*I)/38685626227668133590597632, (-2024044860947539028275487595741003997397402 + 130959428791783397562960461903698670485863*I)/309485009821345068724781056, 3*(26190251453797590396533756519358368860907 - 27221191754180839338002754608545400941638*I)/77371252455336267181195264, (1154643595139959842768960128434994698330461 + 3385496216250226964322872072260446072295634*I)/618970019642690137449562112, 3*(-31849347263064464698310044805285774295286 - 11877437776464148281991240541742691164309*I)/77371252455336267181195264, (4661330392283532534549306589669150228040221 - 4171259766019818631067810706563064103956871*I)/1237940039285380274899124224, (9598353794289061833850770474812760144506 + 358027153990999990968244906482319780943983*I)/309485009821345068724781056, (-9755135335127734571547571921702373498554177 - 4837981372692695195747379349593041939686540*I)/2475880078570760549798248448], +# [(-379516731607474268954110071392894274962069 - 422272153179747548473724096872271700878296*I)/77371252455336267181195264, (41324748029613152354787280677832014263339501 - 12715121258662668420833935373453570749288074*I)/1237940039285380274899124224, (-339216903907423793947110742819264306542397 + 494174755147303922029979279454787373566517*I)/77371252455336267181195264, (-18121350839962855576667529908850640619878381 - 37413012454129786092962531597292531089199003*I)/1237940039285380274899124224, (2489661087330511608618880408199633556675926 + 1137821536550153872137379935240732287260863*I)/309485009821345068724781056, (-136644109701594123227587016790354220062972119 + 110130123468183660555391413889600443583585272*I)/4951760157141521099596496896, (1488043981274920070468141664150073426459593 - 9691968079933445130866371609614474474327650*I)/1237940039285380274899124224, 27*(4636797403026872518131756991410164760195942 + 3369103221138229204457272860484005850416533*I)/4951760157141521099596496896, (-8534279107365915284081669381642269800472363 + 2241118846262661434336333368511372725482742*I)/1237940039285380274899124224, (60923350128174260992536531692058086830950875 - 263673488093551053385865699805250505661590126*I)/9903520314283042199192993792, (18520943561240714459282253753348921824172569 + 24846649186468656345966986622110971925703604*I)/4951760157141521099596496896, (-232781130692604829085973604213529649638644431 + 35981505277760667933017117949103953338570617*I)/9903520314283042199192993792], +# [ (8742968295129404279528270438201520488950 + 3061473358639249112126847237482570858327*I)/4835703278458516698824704, (-245657313712011778432792959787098074935273 + 253113767861878869678042729088355086740856*I)/38685626227668133590597632, (1947031161734702327107371192008011621193 - 19462330079296259148177542369999791122762*I)/9671406556917033397649408, (552856485625209001527688949522750288619217 + 392928441196156725372494335248099016686580*I)/77371252455336267181195264, (-44542866621905323121630214897126343414629 + 3265340021421335059323962377647649632959*I)/19342813113834066795298816, (136272594005759723105646069956434264218730 - 330975364731707309489523680957584684763587*I)/38685626227668133590597632, (27392593965554149283318732469825168894401 + 75157071243800133880129376047131061115278*I)/38685626227668133590597632, 7*(-357821652913266734749960136017214096276154 - 45509144466378076475315751988405961498243*I)/309485009821345068724781056, (104485001373574280824835174390219397141149 - 99041000529599568255829489765415726168162*I)/77371252455336267181195264, (1198066993119982409323525798509037696321291 + 4249784165667887866939369628840569844519936*I)/618970019642690137449562112, (-114985392587849953209115599084503853611014 - 52510376847189529234864487459476242883449*I)/77371252455336267181195264, (6094620517051332877965959223269600650951573 - 4683469779240530439185019982269137976201163*I)/1237940039285380274899124224], +# [ (611292255597977285752123848828590587708323 - 216821743518546668382662964473055912169502*I)/77371252455336267181195264, (-1144023204575811464652692396337616594307487 + 12295317806312398617498029126807758490062855*I)/309485009821345068724781056, (-374093027769390002505693378578475235158281 - 573533923565898290299607461660384634333639*I)/77371252455336267181195264, (47405570632186659000138546955372796986832987 - 2837476058950808941605000274055970055096534*I)/1237940039285380274899124224, (-571573207393621076306216726219753090535121 + 533381457185823100878764749236639320783831*I)/77371252455336267181195264, (-7096548151856165056213543560958582513797519 - 24035731898756040059329175131592138642195366*I)/618970019642690137449562112, (2396762128833271142000266170154694033849225 + 1448501087375679588770230529017516492953051*I)/309485009821345068724781056, (-150609293845161968447166237242456473262037053 + 92581148080922977153207018003184520294188436*I)/4951760157141521099596496896, 5*(270278244730804315149356082977618054486347 - 1997830155222496880429743815321662710091562*I)/1237940039285380274899124224, (62978424789588828258068912690172109324360330 + 44803641177219298311493356929537007630129097*I)/2475880078570760549798248448, 19*(-451431106327656743945775812536216598712236 + 114924966793632084379437683991151177407937*I)/1237940039285380274899124224, (63417747628891221594106738815256002143915995 - 261508229397507037136324178612212080871150958*I)/9903520314283042199192993792], +# [ (-2144231934021288786200752920446633703357 + 2305614436009705803670842248131563850246*I)/1208925819614629174706176, (-90720949337459896266067589013987007078153 - 221951119475096403601562347412753844534569*I)/19342813113834066795298816, (11590973613116630788176337262688659880376 + 6514520676308992726483494976339330626159*I)/4835703278458516698824704, 3*(-131776217149000326618649542018343107657237 + 79095042939612668486212006406818285287004*I)/38685626227668133590597632, (10100577916793945997239221374025741184951 - 28631383488085522003281589065994018550748*I)/9671406556917033397649408, 67*(10090295594251078955008130473573667572549 + 10449901522697161049513326446427839676762*I)/77371252455336267181195264, (-54270981296988368730689531355811033930513 - 3413683117592637309471893510944045467443*I)/19342813113834066795298816, (440372322928679910536575560069973699181278 - 736603803202303189048085196176918214409081*I)/77371252455336267181195264, (33220374714789391132887731139763250155295 + 92055083048787219934030779066298919603554*I)/38685626227668133590597632, 5*(-594638554579967244348856981610805281527116 - 82309245323128933521987392165716076704057*I)/309485009821345068724781056, (128056368815300084550013708313312073721955 - 114619107488668120303579745393765245911404*I)/77371252455336267181195264, 21*(59839959255173222962789517794121843393573 + 241507883613676387255359616163487405826334*I)/618970019642690137449562112], +# [ (-13454485022325376674626653802541391955147 + 184471402121905621396582628515905949793486*I)/19342813113834066795298816, (-6158730123400322562149780662133074862437105 - 3416173052604643794120262081623703514107476*I)/154742504910672534362390528, (770558003844914708453618983120686116100419 - 127758381209767638635199674005029818518766*I)/77371252455336267181195264, (-4693005771813492267479835161596671660631703 + 12703585094750991389845384539501921531449948*I)/309485009821345068724781056, (-295028157441149027913545676461260860036601 - 841544569970643160358138082317324743450770*I)/77371252455336267181195264, (56716442796929448856312202561538574275502893 + 7216818824772560379753073185990186711454778*I)/1237940039285380274899124224, 15*(-87061038932753366532685677510172566368387 + 61306141156647596310941396434445461895538*I)/154742504910672534362390528, (-3455315109680781412178133042301025723909347 - 24969329563196972466388460746447646686670670*I)/618970019642690137449562112, (2453418854160886481106557323699250865361849 + 1497886802326243014471854112161398141242514*I)/309485009821345068724781056, (-151343224544252091980004429001205664193082173 + 90471883264187337053549090899816228846836628*I)/4951760157141521099596496896, (1652018205533026103358164026239417416432989 - 9959733619236515024261775397109724431400162*I)/1237940039285380274899124224, 3*(40676374242956907656984876692623172736522006 + 31023357083037817469535762230872667581366205*I)/4951760157141521099596496896], +# [ (-1226990509403328460274658603410696548387 - 4131739423109992672186585941938392788458*I)/1208925819614629174706176, (162392818524418973411975140074368079662703 + 23706194236915374831230612374344230400704*I)/9671406556917033397649408, (-3935678233089814180000602553655565621193 + 2283744757287145199688061892165659502483*I)/1208925819614629174706176, (-2400210250844254483454290806930306285131 - 315571356806370996069052930302295432758205*I)/19342813113834066795298816, (13365917938215281056563183751673390817910 + 15911483133819801118348625831132324863881*I)/4835703278458516698824704, 3*(-215950551370668982657516660700301003897855 + 51684341999223632631602864028309400489378*I)/38685626227668133590597632, (20886089946811765149439844691320027184765 - 30806277083146786592790625980769214361844*I)/9671406556917033397649408, (562180634592713285745940856221105667874855 + 1031543963988260765153550559766662245114916*I)/77371252455336267181195264, (-65820625814810177122941758625652476012867 - 12429918324787060890804395323920477537595*I)/19342813113834066795298816, (319147848192012911298771180196635859221089 - 402403304933906769233365689834404519960394*I)/38685626227668133590597632, (23035615120921026080284733394359587955057 + 115351677687031786114651452775242461310624*I)/38685626227668133590597632, (-3426830634881892756966440108592579264936130 - 1022954961164128745603407283836365128598559*I)/309485009821345068724781056], +# [ (-192574788060137531023716449082856117537757 - 69222967328876859586831013062387845780692*I)/19342813113834066795298816, (2736383768828013152914815341491629299773262 - 2773252698016291897599353862072533475408743*I)/77371252455336267181195264, (-23280005281223837717773057436155921656805 + 214784953368021840006305033048142888879224*I)/19342813113834066795298816, (-3035247484028969580570400133318947903462326 - 2195168903335435855621328554626336958674325*I)/77371252455336267181195264, (984552428291526892214541708637840971548653 - 64006622534521425620714598573494988589378*I)/77371252455336267181195264, (-3070650452470333005276715136041262898509903 + 7286424705750810474140953092161794621989080*I)/154742504910672534362390528, (-147848877109756404594659513386972921139270 - 416306113044186424749331418059456047650861*I)/38685626227668133590597632, (55272118474097814260289392337160619494260781 + 7494019668394781211907115583302403519488058*I)/1237940039285380274899124224, (-581537886583682322424771088996959213068864 + 542191617758465339135308203815256798407429*I)/77371252455336267181195264, (-6422548983676355789975736799494791970390991 - 23524183982209004826464749309156698827737702*I)/618970019642690137449562112, 7*(180747195387024536886923192475064903482083 + 84352527693562434817771649853047924991804*I)/154742504910672534362390528, (-135485179036717001055310712747643466592387031 + 102346575226653028836678855697782273460527608*I)/4951760157141521099596496896], +# [ (3384238362616083147067025892852431152105 + 156724444932584900214919898954874618256*I)/604462909807314587353088, (-59558300950677430189587207338385764871866 + 114427143574375271097298201388331237478857*I)/4835703278458516698824704, (-1356835789870635633517710130971800616227 - 7023484098542340388800213478357340875410*I)/1208925819614629174706176, (234884918567993750975181728413524549575881 + 79757294640629983786895695752733890213506*I)/9671406556917033397649408, (-7632732774935120473359202657160313866419 + 2905452608512927560554702228553291839465*I)/1208925819614629174706176, (52291747908702842344842889809762246649489 - 520996778817151392090736149644507525892649*I)/19342813113834066795298816, (17472406829219127839967951180375981717322 + 23464704213841582137898905375041819568669*I)/4835703278458516698824704, (-911026971811893092350229536132730760943307 + 150799318130900944080399439626714846752360*I)/38685626227668133590597632, (26234457233977042811089020440646443590687 - 45650293039576452023692126463683727692890*I)/9671406556917033397649408, 3*(288348388717468992528382586652654351121357 + 454526517721403048270274049572136109264668*I)/77371252455336267181195264, (-91583492367747094223295011999405657956347 - 12704691128268298435362255538069612411331*I)/19342813113834066795298816, (411208730251327843849027957710164064354221 - 569898526380691606955496789378230959965898*I)/38685626227668133590597632], +# [ (27127513117071487872628354831658811211795 - 37765296987901990355760582016892124833857*I)/4835703278458516698824704, (1741779916057680444272938534338833170625435 + 3083041729779495966997526404685535449810378*I)/77371252455336267181195264, 3*(-60642236251815783728374561836962709533401 - 24630301165439580049891518846174101510744*I)/19342813113834066795298816, 3*(445885207364591681637745678755008757483408 - 350948497734812895032502179455610024541643*I)/38685626227668133590597632, (-47373295621391195484367368282471381775684 + 219122969294089357477027867028071400054973*I)/19342813113834066795298816, (-2801565819673198722993348253876353741520438 - 2250142129822658548391697042460298703335701*I)/77371252455336267181195264, (801448252275607253266997552356128790317119 - 50890367688077858227059515894356594900558*I)/77371252455336267181195264, (-5082187758525931944557763799137987573501207 + 11610432359082071866576699236013484487676124*I)/309485009821345068724781056, (-328925127096560623794883760398247685166830 - 643447969697471610060622160899409680422019*I)/77371252455336267181195264, 15*(2954944669454003684028194956846659916299765 + 33434406416888505837444969347824812608566*I)/1237940039285380274899124224, (-415749104352001509942256567958449835766827 + 479330966144175743357171151440020955412219*I)/77371252455336267181195264, 3*(-4639987285852134369449873547637372282914255 - 11994411888966030153196659207284951579243273*I)/1237940039285380274899124224], +# [ (-478846096206269117345024348666145495601 + 1249092488629201351470551186322814883283*I)/302231454903657293676544, (-17749319421930878799354766626365926894989 - 18264580106418628161818752318217357231971*I)/1208925819614629174706176, (2801110795431528876849623279389579072819 + 363258850073786330770713557775566973248*I)/604462909807314587353088, (-59053496693129013745775512127095650616252 + 78143588734197260279248498898321500167517*I)/4835703278458516698824704, (-283186724922498212468162690097101115349 - 6443437753863179883794497936345437398276*I)/1208925819614629174706176, (188799118826748909206887165661384998787543 + 84274736720556630026311383931055307398820*I)/9671406556917033397649408, (-5482217151670072904078758141270295025989 + 1818284338672191024475557065444481298568*I)/1208925819614629174706176, (56564463395350195513805521309731217952281 - 360208541416798112109946262159695452898431*I)/19342813113834066795298816, 11*(1259539805728870739006416869463689438068 + 1409136581547898074455004171305324917387*I)/4835703278458516698824704, 5*(-123701190701414554945251071190688818343325 + 30997157322590424677294553832111902279712*I)/38685626227668133590597632, (16130917381301373033736295883982414239781 - 32752041297570919727145380131926943374516*I)/9671406556917033397649408, (650301385108223834347093740500375498354925 + 899526407681131828596801223402866051809258*I)/77371252455336267181195264], +# [ (9011388245256140876590294262420614839483 + 8167917972423946282513000869327525382672*I)/1208925819614629174706176, (-426393174084720190126376382194036323028924 + 180692224825757525982858693158209545430621*I)/9671406556917033397649408, (24588556702197802674765733448108154175535 - 45091766022876486566421953254051868331066*I)/4835703278458516698824704, (1872113939365285277373877183750416985089691 + 3030392393733212574744122057679633775773130*I)/77371252455336267181195264, (-222173405538046189185754954524429864167549 - 75193157893478637039381059488387511299116*I)/19342813113834066795298816, (2670821320766222522963689317316937579844558 - 2645837121493554383087981511645435472169191*I)/77371252455336267181195264, 5*(-2100110309556476773796963197283876204940 + 41957457246479840487980315496957337371937*I)/19342813113834066795298816, (-5733743755499084165382383818991531258980593 - 3328949988392698205198574824396695027195732*I)/154742504910672534362390528, (707827994365259025461378911159398206329247 - 265730616623227695108042528694302299777294*I)/77371252455336267181195264, (-1442501604682933002895864804409322823788319 + 11504137805563265043376405214378288793343879*I)/309485009821345068724781056, (-56130472299445561499538726459719629522285 - 61117552419727805035810982426639329818864*I)/9671406556917033397649408, (39053692321126079849054272431599539429908717 - 10209127700342570953247177602860848130710666*I)/1237940039285380274899124224]]) + M = Matrix(S('''[ + [ -3/4, 45/32 - 37*I/16, 1/4 + I/2, -129/64 - 9*I/64, 1/4 - 5*I/16, 65/128 + 87*I/64], + [-149/64 + 49*I/32, -177/128 - 1369*I/128, 125/64 + 87*I/64, -2063/256 + 541*I/128, 85/256 - 33*I/16, 805/128 + 2415*I/512], + [ 1/2 - I, 9/4 + 55*I/16, -3/4, 45/32 - 37*I/16, 1/4 + I/2, -129/64 - 9*I/64], + [ -5/8 - 39*I/16, 2473/256 + 137*I/64, -149/64 + 49*I/32, -177/128 - 1369*I/128, 125/64 + 87*I/64, -2063/256 + 541*I/128], + [ 1 + I, -19/4 + 5*I/4, 1/2 - I, 9/4 + 55*I/16, -3/4, 45/32 - 37*I/16], + [ 21/8 + I, -537/64 + 143*I/16, -5/8 - 39*I/16, 2473/256 + 137*I/64, -149/64 + 49*I/32, -177/128 - 1369*I/128]]''')) + with dotprodsimp(True): + assert M**10 == Matrix(S('''[ + [ 7369525394972778926719607798014571861/604462909807314587353088 - 229284202061790301477392339912557559*I/151115727451828646838272, -19704281515163975949388435612632058035/1208925819614629174706176 + 14319858347987648723768698170712102887*I/302231454903657293676544, -3623281909451783042932142262164941211/604462909807314587353088 - 6039240602494288615094338643452320495*I/604462909807314587353088, 109260497799140408739847239685705357695/2417851639229258349412352 - 7427566006564572463236368211555511431*I/2417851639229258349412352, -16095803767674394244695716092817006641/2417851639229258349412352 + 10336681897356760057393429626719177583*I/1208925819614629174706176, -42207883340488041844332828574359769743/2417851639229258349412352 - 182332262671671273188016400290188468499*I/4835703278458516698824704], + [50566491050825573392726324995779608259/1208925819614629174706176 - 90047007594468146222002432884052362145*I/2417851639229258349412352, 74273703462900000967697427843983822011/1208925819614629174706176 + 265947522682943571171988741842776095421*I/1208925819614629174706176, -116900341394390200556829767923360888429/2417851639229258349412352 - 53153263356679268823910621474478756845*I/2417851639229258349412352, 195407378023867871243426523048612490249/1208925819614629174706176 - 1242417915995360200584837585002906728929*I/9671406556917033397649408, -863597594389821970177319682495878193/302231454903657293676544 + 476936100741548328800725360758734300481*I/9671406556917033397649408, -3154451590535653853562472176601754835575/19342813113834066795298816 - 232909875490506237386836489998407329215*I/2417851639229258349412352], + [ -1715444997702484578716037230949868543/302231454903657293676544 + 5009695651321306866158517287924120777*I/302231454903657293676544, -30551582497996879620371947949342101301/604462909807314587353088 - 7632518367986526187139161303331519629*I/151115727451828646838272, 312680739924495153190604170938220575/18889465931478580854784 - 108664334509328818765959789219208459*I/75557863725914323419136, -14693696966703036206178521686918865509/604462909807314587353088 + 72345386220900843930147151999899692401*I/1208925819614629174706176, -8218872496728882299722894680635296519/1208925819614629174706176 - 16776782833358893712645864791807664983*I/1208925819614629174706176, 143237839169380078671242929143670635137/2417851639229258349412352 + 2883817094806115974748882735218469447*I/2417851639229258349412352], + [ 3087979417831061365023111800749855987/151115727451828646838272 + 34441942370802869368851419102423997089*I/604462909807314587353088, -148309181940158040917731426845476175667/604462909807314587353088 - 263987151804109387844966835369350904919*I/9671406556917033397649408, 50259518594816377378747711930008883165/1208925819614629174706176 - 95713974916869240305450001443767979653*I/2417851639229258349412352, 153466447023875527996457943521467271119/2417851639229258349412352 + 517285524891117105834922278517084871349*I/2417851639229258349412352, -29184653615412989036678939366291205575/604462909807314587353088 - 27551322282526322041080173287022121083*I/1208925819614629174706176, 196404220110085511863671393922447671649/1208925819614629174706176 - 1204712019400186021982272049902206202145*I/9671406556917033397649408], + [ -2632581805949645784625606590600098779/151115727451828646838272 - 589957435912868015140272627522612771*I/37778931862957161709568, 26727850893953715274702844733506310247/302231454903657293676544 - 10825791956782128799168209600694020481*I/302231454903657293676544, -1036348763702366164044671908440791295/151115727451828646838272 + 3188624571414467767868303105288107375*I/151115727451828646838272, -36814959939970644875593411585393242449/604462909807314587353088 - 18457555789119782404850043842902832647*I/302231454903657293676544, 12454491297984637815063964572803058647/604462909807314587353088 - 340489532842249733975074349495329171*I/302231454903657293676544, -19547211751145597258386735573258916681/604462909807314587353088 + 87299583775782199663414539883938008933*I/1208925819614629174706176], + [ -40281994229560039213253423262678393183/604462909807314587353088 - 2939986850065527327299273003299736641*I/604462909807314587353088, 331940684638052085845743020267462794181/2417851639229258349412352 - 284574901963624403933361315517248458969*I/1208925819614629174706176, 6453843623051745485064693628073010961/302231454903657293676544 + 36062454107479732681350914931391590957*I/604462909807314587353088, -147665869053634695632880753646441962067/604462909807314587353088 - 305987938660447291246597544085345123927*I/9671406556917033397649408, 107821369195275772166593879711259469423/2417851639229258349412352 - 11645185518211204108659001435013326687*I/302231454903657293676544, 64121228424717666402009446088588091619/1208925819614629174706176 + 265557133337095047883844369272389762133*I/1208925819614629174706176]]''')) + + +def test_issue_17247_expression_blowup_5(): + M = Matrix(6, 6, lambda i, j: 1 + (-1)**(i+j)*I) + with dotprodsimp(True): + assert M.charpoly('x') == PurePoly(x**6 + (-6 - 6*I)*x**5 + 36*I*x**4, x, domain='EX') + + +def test_issue_17247_expression_blowup_6(): + M = Matrix(8, 8, [x+i for i in range (64)]) + with dotprodsimp(True): + assert M.det('bareiss') == 0 + + +def test_issue_17247_expression_blowup_7(): + M = Matrix(6, 6, lambda i, j: 1 + (-1)**(i+j)*I) + with dotprodsimp(True): + assert M.det('berkowitz') == 0 + + +def test_issue_17247_expression_blowup_8(): + M = Matrix(8, 8, [x+i for i in range (64)]) + with dotprodsimp(True): + assert M.det('lu') == 0 + + +def test_issue_17247_expression_blowup_9(): + M = Matrix(8, 8, [x+i for i in range (64)]) + with dotprodsimp(True): + assert M.rref() == (Matrix([ + [1, 0, -1, -2, -3, -4, -5, -6], + [0, 1, 2, 3, 4, 5, 6, 7], + [0, 0, 0, 0, 0, 0, 0, 0], + [0, 0, 0, 0, 0, 0, 0, 0], + [0, 0, 0, 0, 0, 0, 0, 0], + [0, 0, 0, 0, 0, 0, 0, 0], + [0, 0, 0, 0, 0, 0, 0, 0], + [0, 0, 0, 0, 0, 0, 0, 0]]), (0, 1)) + + +def test_issue_17247_expression_blowup_10(): + M = Matrix(6, 6, lambda i, j: 1 + (-1)**(i+j)*I) + with dotprodsimp(True): + assert M.cofactor(0, 0) == 0 + + +def test_issue_17247_expression_blowup_11(): + M = Matrix(6, 6, lambda i, j: 1 + (-1)**(i+j)*I) + with dotprodsimp(True): + assert M.cofactor_matrix() == Matrix(6, 6, [0]*36) + + +def test_issue_17247_expression_blowup_12(): + M = Matrix(6, 6, lambda i, j: 1 + (-1)**(i+j)*I) + with dotprodsimp(True): + assert M.eigenvals() == {6: 1, 6*I: 1, 0: 4} + + +def test_issue_17247_expression_blowup_13(): + M = Matrix([ + [ 0, 1 - x, x + 1, 1 - x], + [1 - x, x + 1, 0, x + 1], + [ 0, 1 - x, x + 1, 1 - x], + [ 0, 0, 1 - x, 0]]) + + ev = M.eigenvects() + assert ev[0] == (0, 2, [Matrix([0, -1, 0, 1])]) + assert ev[1][0] == x - sqrt(2)*(x - 1) + 1 + assert ev[1][1] == 1 + assert ev[1][2][0].expand(deep=False, numer=True) == Matrix([ + [(-x + sqrt(2)*(x - 1) - 1)/(x - 1)], + [-4*x/(x**2 - 2*x + 1) + (x + 1)*(x - sqrt(2)*(x - 1) + 1)/(x**2 - 2*x + 1)], + [(-x + sqrt(2)*(x - 1) - 1)/(x - 1)], + [1] + ]) + + assert ev[2][0] == x + sqrt(2)*(x - 1) + 1 + assert ev[2][1] == 1 + assert ev[2][2][0].expand(deep=False, numer=True) == Matrix([ + [(-x - sqrt(2)*(x - 1) - 1)/(x - 1)], + [-4*x/(x**2 - 2*x + 1) + (x + 1)*(x + sqrt(2)*(x - 1) + 1)/(x**2 - 2*x + 1)], + [(-x - sqrt(2)*(x - 1) - 1)/(x - 1)], + [1] + ]) + + +def test_issue_17247_expression_blowup_14(): + M = Matrix(8, 8, ([1+x, 1-x]*4 + [1-x, 1+x]*4)*4) + with dotprodsimp(True): + assert M.echelon_form() == Matrix([ + [x + 1, 1 - x, x + 1, 1 - x, x + 1, 1 - x, x + 1, 1 - x], + [ 0, 4*x, 0, 4*x, 0, 4*x, 0, 4*x], + [ 0, 0, 0, 0, 0, 0, 0, 0], + [ 0, 0, 0, 0, 0, 0, 0, 0], + [ 0, 0, 0, 0, 0, 0, 0, 0], + [ 0, 0, 0, 0, 0, 0, 0, 0], + [ 0, 0, 0, 0, 0, 0, 0, 0], + [ 0, 0, 0, 0, 0, 0, 0, 0]]) + + +def test_issue_17247_expression_blowup_15(): + M = Matrix(8, 8, ([1+x, 1-x]*4 + [1-x, 1+x]*4)*4) + with dotprodsimp(True): + assert M.rowspace() == [Matrix([[x + 1, 1 - x, x + 1, 1 - x, x + 1, 1 - x, x + 1, 1 - x]]), Matrix([[0, 4*x, 0, 4*x, 0, 4*x, 0, 4*x]])] + + +def test_issue_17247_expression_blowup_16(): + M = Matrix(8, 8, ([1+x, 1-x]*4 + [1-x, 1+x]*4)*4) + with dotprodsimp(True): + assert M.columnspace() == [Matrix([[x + 1],[1 - x],[x + 1],[1 - x],[x + 1],[1 - x],[x + 1],[1 - x]]), Matrix([[1 - x],[x + 1],[1 - x],[x + 1],[1 - x],[x + 1],[1 - x],[x + 1]])] + + +def test_issue_17247_expression_blowup_17(): + M = Matrix(8, 8, [x+i for i in range (64)]) + with dotprodsimp(True): + assert M.nullspace() == [ + Matrix([[1],[-2],[1],[0],[0],[0],[0],[0]]), + Matrix([[2],[-3],[0],[1],[0],[0],[0],[0]]), + Matrix([[3],[-4],[0],[0],[1],[0],[0],[0]]), + Matrix([[4],[-5],[0],[0],[0],[1],[0],[0]]), + Matrix([[5],[-6],[0],[0],[0],[0],[1],[0]]), + Matrix([[6],[-7],[0],[0],[0],[0],[0],[1]])] + + +def test_issue_17247_expression_blowup_18(): + M = Matrix(6, 6, ([1+x, 1-x]*3 + [1-x, 1+x]*3)*3) + with dotprodsimp(True): + assert not M.is_nilpotent() + + +def test_issue_17247_expression_blowup_19(): + M = Matrix(S('''[ + [ -3/4, 0, 1/4 + I/2, 0], + [ 0, -177/128 - 1369*I/128, 0, -2063/256 + 541*I/128], + [ 1/2 - I, 0, 0, 0], + [ 0, 0, 0, -177/128 - 1369*I/128]]''')) + with dotprodsimp(True): + assert not M.is_diagonalizable() + + +def test_issue_17247_expression_blowup_20(): + M = Matrix([ + [x + 1, 1 - x, 0, 0], + [1 - x, x + 1, 0, x + 1], + [ 0, 1 - x, x + 1, 0], + [ 0, 0, 0, x + 1]]) + with dotprodsimp(True): + assert M.diagonalize() == (Matrix([ + [1, 1, 0, (x + 1)/(x - 1)], + [1, -1, 0, 0], + [1, 1, 1, 0], + [0, 0, 0, 1]]), + Matrix([ + [2, 0, 0, 0], + [0, 2*x, 0, 0], + [0, 0, x + 1, 0], + [0, 0, 0, x + 1]])) + + +def test_issue_17247_expression_blowup_21(): + M = Matrix(S('''[ + [ -3/4, 45/32 - 37*I/16, 0, 0], + [-149/64 + 49*I/32, -177/128 - 1369*I/128, 0, -2063/256 + 541*I/128], + [ 0, 9/4 + 55*I/16, 2473/256 + 137*I/64, 0], + [ 0, 0, 0, -177/128 - 1369*I/128]]''')) + with dotprodsimp(True): + assert M.inv(method='GE') == Matrix(S('''[ + [-26194832/3470993 - 31733264*I/3470993, 156352/3470993 + 10325632*I/3470993, 0, -7741283181072/3306971225785 + 2999007604624*I/3306971225785], + [4408224/3470993 - 9675328*I/3470993, -2422272/3470993 + 1523712*I/3470993, 0, -1824666489984/3306971225785 - 1401091949952*I/3306971225785], + [-26406945676288/22270005630769 + 10245925485056*I/22270005630769, 7453523312640/22270005630769 + 1601616519168*I/22270005630769, 633088/6416033 - 140288*I/6416033, 872209227109521408/21217636514687010905 + 6066405081802389504*I/21217636514687010905], + [0, 0, 0, -11328/952745 + 87616*I/952745]]''')) + + +def test_issue_17247_expression_blowup_22(): + M = Matrix(S('''[ + [ -3/4, 45/32 - 37*I/16, 0, 0], + [-149/64 + 49*I/32, -177/128 - 1369*I/128, 0, -2063/256 + 541*I/128], + [ 0, 9/4 + 55*I/16, 2473/256 + 137*I/64, 0], + [ 0, 0, 0, -177/128 - 1369*I/128]]''')) + with dotprodsimp(True): + assert M.inv(method='LU') == Matrix(S('''[ + [-26194832/3470993 - 31733264*I/3470993, 156352/3470993 + 10325632*I/3470993, 0, -7741283181072/3306971225785 + 2999007604624*I/3306971225785], + [4408224/3470993 - 9675328*I/3470993, -2422272/3470993 + 1523712*I/3470993, 0, -1824666489984/3306971225785 - 1401091949952*I/3306971225785], + [-26406945676288/22270005630769 + 10245925485056*I/22270005630769, 7453523312640/22270005630769 + 1601616519168*I/22270005630769, 633088/6416033 - 140288*I/6416033, 872209227109521408/21217636514687010905 + 6066405081802389504*I/21217636514687010905], + [0, 0, 0, -11328/952745 + 87616*I/952745]]''')) + + +def test_issue_17247_expression_blowup_23(): + M = Matrix(S('''[ + [ -3/4, 45/32 - 37*I/16, 0, 0], + [-149/64 + 49*I/32, -177/128 - 1369*I/128, 0, -2063/256 + 541*I/128], + [ 0, 9/4 + 55*I/16, 2473/256 + 137*I/64, 0], + [ 0, 0, 0, -177/128 - 1369*I/128]]''')) + with dotprodsimp(True): + assert M.inv(method='ADJ').expand() == Matrix(S('''[ + [-26194832/3470993 - 31733264*I/3470993, 156352/3470993 + 10325632*I/3470993, 0, -7741283181072/3306971225785 + 2999007604624*I/3306971225785], + [4408224/3470993 - 9675328*I/3470993, -2422272/3470993 + 1523712*I/3470993, 0, -1824666489984/3306971225785 - 1401091949952*I/3306971225785], + [-26406945676288/22270005630769 + 10245925485056*I/22270005630769, 7453523312640/22270005630769 + 1601616519168*I/22270005630769, 633088/6416033 - 140288*I/6416033, 872209227109521408/21217636514687010905 + 6066405081802389504*I/21217636514687010905], + [0, 0, 0, -11328/952745 + 87616*I/952745]]''')) + + +def test_issue_17247_expression_blowup_24(): + M = SparseMatrix(S('''[ + [ -3/4, 45/32 - 37*I/16, 0, 0], + [-149/64 + 49*I/32, -177/128 - 1369*I/128, 0, -2063/256 + 541*I/128], + [ 0, 9/4 + 55*I/16, 2473/256 + 137*I/64, 0], + [ 0, 0, 0, -177/128 - 1369*I/128]]''')) + with dotprodsimp(True): + assert M.inv(method='CH') == Matrix(S('''[ + [-26194832/3470993 - 31733264*I/3470993, 156352/3470993 + 10325632*I/3470993, 0, -7741283181072/3306971225785 + 2999007604624*I/3306971225785], + [4408224/3470993 - 9675328*I/3470993, -2422272/3470993 + 1523712*I/3470993, 0, -1824666489984/3306971225785 - 1401091949952*I/3306971225785], + [-26406945676288/22270005630769 + 10245925485056*I/22270005630769, 7453523312640/22270005630769 + 1601616519168*I/22270005630769, 633088/6416033 - 140288*I/6416033, 872209227109521408/21217636514687010905 + 6066405081802389504*I/21217636514687010905], + [0, 0, 0, -11328/952745 + 87616*I/952745]]''')) + + +def test_issue_17247_expression_blowup_25(): + M = SparseMatrix(S('''[ + [ -3/4, 45/32 - 37*I/16, 0, 0], + [-149/64 + 49*I/32, -177/128 - 1369*I/128, 0, -2063/256 + 541*I/128], + [ 0, 9/4 + 55*I/16, 2473/256 + 137*I/64, 0], + [ 0, 0, 0, -177/128 - 1369*I/128]]''')) + with dotprodsimp(True): + assert M.inv(method='LDL') == Matrix(S('''[ + [-26194832/3470993 - 31733264*I/3470993, 156352/3470993 + 10325632*I/3470993, 0, -7741283181072/3306971225785 + 2999007604624*I/3306971225785], + [4408224/3470993 - 9675328*I/3470993, -2422272/3470993 + 1523712*I/3470993, 0, -1824666489984/3306971225785 - 1401091949952*I/3306971225785], + [-26406945676288/22270005630769 + 10245925485056*I/22270005630769, 7453523312640/22270005630769 + 1601616519168*I/22270005630769, 633088/6416033 - 140288*I/6416033, 872209227109521408/21217636514687010905 + 6066405081802389504*I/21217636514687010905], + [0, 0, 0, -11328/952745 + 87616*I/952745]]''')) + + +def test_issue_17247_expression_blowup_26(): + M = Matrix(S('''[ + [ -3/4, 45/32 - 37*I/16, 1/4 + I/2, -129/64 - 9*I/64, 1/4 - 5*I/16, 65/128 + 87*I/64, -9/32 - I/16, 183/256 - 97*I/128], + [-149/64 + 49*I/32, -177/128 - 1369*I/128, 125/64 + 87*I/64, -2063/256 + 541*I/128, 85/256 - 33*I/16, 805/128 + 2415*I/512, -219/128 + 115*I/256, 6301/4096 - 6609*I/1024], + [ 1/2 - I, 9/4 + 55*I/16, -3/4, 45/32 - 37*I/16, 1/4 + I/2, -129/64 - 9*I/64, 1/4 - 5*I/16, 65/128 + 87*I/64], + [ -5/8 - 39*I/16, 2473/256 + 137*I/64, -149/64 + 49*I/32, -177/128 - 1369*I/128, 125/64 + 87*I/64, -2063/256 + 541*I/128, 85/256 - 33*I/16, 805/128 + 2415*I/512], + [ 1 + I, -19/4 + 5*I/4, 1/2 - I, 9/4 + 55*I/16, -3/4, 45/32 - 37*I/16, 1/4 + I/2, -129/64 - 9*I/64], + [ 21/8 + I, -537/64 + 143*I/16, -5/8 - 39*I/16, 2473/256 + 137*I/64, -149/64 + 49*I/32, -177/128 - 1369*I/128, 125/64 + 87*I/64, -2063/256 + 541*I/128], + [ -2, 17/4 - 13*I/2, 1 + I, -19/4 + 5*I/4, 1/2 - I, 9/4 + 55*I/16, -3/4, 45/32 - 37*I/16], + [ 1/4 + 13*I/4, -825/64 - 147*I/32, 21/8 + I, -537/64 + 143*I/16, -5/8 - 39*I/16, 2473/256 + 137*I/64, -149/64 + 49*I/32, -177/128 - 1369*I/128]]''')) + with dotprodsimp(True): + assert M.rank() == 4 + + +def test_issue_17247_expression_blowup_27(): + M = Matrix([ + [ 0, 1 - x, x + 1, 1 - x], + [1 - x, x + 1, 0, x + 1], + [ 0, 1 - x, x + 1, 1 - x], + [ 0, 0, 1 - x, 0]]) + with dotprodsimp(True): + P, J = M.jordan_form() + assert P.expand() == Matrix(S('''[ + [ 0, 4*x/(x**2 - 2*x + 1), -(-17*x**4 + 12*sqrt(2)*x**4 - 4*sqrt(2)*x**3 + 6*x**3 - 6*x - 4*sqrt(2)*x + 12*sqrt(2) + 17)/(-7*x**4 + 5*sqrt(2)*x**4 - 6*sqrt(2)*x**3 + 8*x**3 - 2*x**2 + 8*x + 6*sqrt(2)*x - 5*sqrt(2) - 7), -(12*sqrt(2)*x**4 + 17*x**4 - 6*x**3 - 4*sqrt(2)*x**3 - 4*sqrt(2)*x + 6*x - 17 + 12*sqrt(2))/(7*x**4 + 5*sqrt(2)*x**4 - 6*sqrt(2)*x**3 - 8*x**3 + 2*x**2 - 8*x + 6*sqrt(2)*x - 5*sqrt(2) + 7)], + [x - 1, x/(x - 1) + 1/(x - 1), (-7*x**3 + 5*sqrt(2)*x**3 - x**2 + sqrt(2)*x**2 - sqrt(2)*x - x - 5*sqrt(2) - 7)/(-3*x**3 + 2*sqrt(2)*x**3 - 2*sqrt(2)*x**2 + 3*x**2 + 2*sqrt(2)*x + 3*x - 3 - 2*sqrt(2)), (7*x**3 + 5*sqrt(2)*x**3 + x**2 + sqrt(2)*x**2 - sqrt(2)*x + x - 5*sqrt(2) + 7)/(2*sqrt(2)*x**3 + 3*x**3 - 3*x**2 - 2*sqrt(2)*x**2 - 3*x + 2*sqrt(2)*x - 2*sqrt(2) + 3)], + [ 0, 1, -(-3*x**2 + 2*sqrt(2)*x**2 + 2*x - 3 - 2*sqrt(2))/(-x**2 + sqrt(2)*x**2 - 2*sqrt(2)*x + 1 + sqrt(2)), -(2*sqrt(2)*x**2 + 3*x**2 - 2*x - 2*sqrt(2) + 3)/(x**2 + sqrt(2)*x**2 - 2*sqrt(2)*x - 1 + sqrt(2))], + [1 - x, 0, 1, 1]]''')).expand() + assert J == Matrix(S('''[ + [0, 1, 0, 0], + [0, 0, 0, 0], + [0, 0, x - sqrt(2)*(x - 1) + 1, 0], + [0, 0, 0, x + sqrt(2)*(x - 1) + 1]]''')) + + +def test_issue_17247_expression_blowup_28(): + M = Matrix(S('''[ + [ -3/4, 45/32 - 37*I/16, 0, 0], + [-149/64 + 49*I/32, -177/128 - 1369*I/128, 0, -2063/256 + 541*I/128], + [ 0, 9/4 + 55*I/16, 2473/256 + 137*I/64, 0], + [ 0, 0, 0, -177/128 - 1369*I/128]]''')) + with dotprodsimp(True): + assert M.singular_values() == S('''[ + sqrt(14609315/131072 + sqrt(64789115132571/2147483648 - 2*(25895222463957462655758224991455280215303/633825300114114700748351602688 + sqrt(1213909058710955930446995195883114969038524625997915131236390724543989220134670)*I/22282920707136844948184236032)**(1/3) + 76627253330829751075/(35184372088832*sqrt(64789115132571/4294967296 + 3546944054712886603889144627/(110680464442257309696*(25895222463957462655758224991455280215303/633825300114114700748351602688 + sqrt(1213909058710955930446995195883114969038524625997915131236390724543989220134670)*I/22282920707136844948184236032)**(1/3)) + 2*(25895222463957462655758224991455280215303/633825300114114700748351602688 + sqrt(1213909058710955930446995195883114969038524625997915131236390724543989220134670)*I/22282920707136844948184236032)**(1/3))) - 3546944054712886603889144627/(110680464442257309696*(25895222463957462655758224991455280215303/633825300114114700748351602688 + sqrt(1213909058710955930446995195883114969038524625997915131236390724543989220134670)*I/22282920707136844948184236032)**(1/3)))/2 + sqrt(64789115132571/4294967296 + 3546944054712886603889144627/(110680464442257309696*(25895222463957462655758224991455280215303/633825300114114700748351602688 + sqrt(1213909058710955930446995195883114969038524625997915131236390724543989220134670)*I/22282920707136844948184236032)**(1/3)) + 2*(25895222463957462655758224991455280215303/633825300114114700748351602688 + sqrt(1213909058710955930446995195883114969038524625997915131236390724543989220134670)*I/22282920707136844948184236032)**(1/3))/2), + sqrt(14609315/131072 - sqrt(64789115132571/2147483648 - 2*(25895222463957462655758224991455280215303/633825300114114700748351602688 + sqrt(1213909058710955930446995195883114969038524625997915131236390724543989220134670)*I/22282920707136844948184236032)**(1/3) + 76627253330829751075/(35184372088832*sqrt(64789115132571/4294967296 + 3546944054712886603889144627/(110680464442257309696*(25895222463957462655758224991455280215303/633825300114114700748351602688 + sqrt(1213909058710955930446995195883114969038524625997915131236390724543989220134670)*I/22282920707136844948184236032)**(1/3)) + 2*(25895222463957462655758224991455280215303/633825300114114700748351602688 + sqrt(1213909058710955930446995195883114969038524625997915131236390724543989220134670)*I/22282920707136844948184236032)**(1/3))) - 3546944054712886603889144627/(110680464442257309696*(25895222463957462655758224991455280215303/633825300114114700748351602688 + sqrt(1213909058710955930446995195883114969038524625997915131236390724543989220134670)*I/22282920707136844948184236032)**(1/3)))/2 + sqrt(64789115132571/4294967296 + 3546944054712886603889144627/(110680464442257309696*(25895222463957462655758224991455280215303/633825300114114700748351602688 + sqrt(1213909058710955930446995195883114969038524625997915131236390724543989220134670)*I/22282920707136844948184236032)**(1/3)) + 2*(25895222463957462655758224991455280215303/633825300114114700748351602688 + sqrt(1213909058710955930446995195883114969038524625997915131236390724543989220134670)*I/22282920707136844948184236032)**(1/3))/2), + sqrt(14609315/131072 - sqrt(64789115132571/4294967296 + 3546944054712886603889144627/(110680464442257309696*(25895222463957462655758224991455280215303/633825300114114700748351602688 + sqrt(1213909058710955930446995195883114969038524625997915131236390724543989220134670)*I/22282920707136844948184236032)**(1/3)) + 2*(25895222463957462655758224991455280215303/633825300114114700748351602688 + sqrt(1213909058710955930446995195883114969038524625997915131236390724543989220134670)*I/22282920707136844948184236032)**(1/3))/2 + sqrt(64789115132571/2147483648 - 2*(25895222463957462655758224991455280215303/633825300114114700748351602688 + sqrt(1213909058710955930446995195883114969038524625997915131236390724543989220134670)*I/22282920707136844948184236032)**(1/3) - 76627253330829751075/(35184372088832*sqrt(64789115132571/4294967296 + 3546944054712886603889144627/(110680464442257309696*(25895222463957462655758224991455280215303/633825300114114700748351602688 + sqrt(1213909058710955930446995195883114969038524625997915131236390724543989220134670)*I/22282920707136844948184236032)**(1/3)) + 2*(25895222463957462655758224991455280215303/633825300114114700748351602688 + sqrt(1213909058710955930446995195883114969038524625997915131236390724543989220134670)*I/22282920707136844948184236032)**(1/3))) - 3546944054712886603889144627/(110680464442257309696*(25895222463957462655758224991455280215303/633825300114114700748351602688 + sqrt(1213909058710955930446995195883114969038524625997915131236390724543989220134670)*I/22282920707136844948184236032)**(1/3)))/2), + sqrt(14609315/131072 - sqrt(64789115132571/4294967296 + 3546944054712886603889144627/(110680464442257309696*(25895222463957462655758224991455280215303/633825300114114700748351602688 + sqrt(1213909058710955930446995195883114969038524625997915131236390724543989220134670)*I/22282920707136844948184236032)**(1/3)) + 2*(25895222463957462655758224991455280215303/633825300114114700748351602688 + sqrt(1213909058710955930446995195883114969038524625997915131236390724543989220134670)*I/22282920707136844948184236032)**(1/3))/2 - sqrt(64789115132571/2147483648 - 2*(25895222463957462655758224991455280215303/633825300114114700748351602688 + sqrt(1213909058710955930446995195883114969038524625997915131236390724543989220134670)*I/22282920707136844948184236032)**(1/3) - 76627253330829751075/(35184372088832*sqrt(64789115132571/4294967296 + 3546944054712886603889144627/(110680464442257309696*(25895222463957462655758224991455280215303/633825300114114700748351602688 + sqrt(1213909058710955930446995195883114969038524625997915131236390724543989220134670)*I/22282920707136844948184236032)**(1/3)) + 2*(25895222463957462655758224991455280215303/633825300114114700748351602688 + sqrt(1213909058710955930446995195883114969038524625997915131236390724543989220134670)*I/22282920707136844948184236032)**(1/3))) - 3546944054712886603889144627/(110680464442257309696*(25895222463957462655758224991455280215303/633825300114114700748351602688 + sqrt(1213909058710955930446995195883114969038524625997915131236390724543989220134670)*I/22282920707136844948184236032)**(1/3)))/2)]''') + + +def test_issue_16823(): + # This still needs to be fixed if not using dotprodsimp. + M = Matrix(S('''[ + [1+I,-19/4+5/4*I,1/2-I,9/4+55/16*I,-3/4,45/32-37/16*I,1/4+1/2*I,-129/64-9/64*I,1/4-5/16*I,65/128+87/64*I,-9/32-1/16*I,183/256-97/128*I,3/64+13/64*I,-23/32-59/256*I,15/128-3/32*I,19/256+551/1024*I], + [21/8+I,-537/64+143/16*I,-5/8-39/16*I,2473/256+137/64*I,-149/64+49/32*I,-177/128-1369/128*I,125/64+87/64*I,-2063/256+541/128*I,85/256-33/16*I,805/128+2415/512*I,-219/128+115/256*I,6301/4096-6609/1024*I,119/128+143/128*I,-10879/2048+4343/4096*I,129/256-549/512*I,42533/16384+29103/8192*I], + [-2,17/4-13/2*I,1+I,-19/4+5/4*I,1/2-I,9/4+55/16*I,-3/4,45/32-37/16*I,1/4+1/2*I,-129/64-9/64*I,1/4-5/16*I,65/128+87/64*I,-9/32-1/16*I,183/256-97/128*I,3/64+13/64*I,-23/32-59/256*I], + [1/4+13/4*I,-825/64-147/32*I,21/8+I,-537/64+143/16*I,-5/8-39/16*I,2473/256+137/64*I,-149/64+49/32*I,-177/128-1369/128*I,125/64+87/64*I,-2063/256+541/128*I,85/256-33/16*I,805/128+2415/512*I,-219/128+115/256*I,6301/4096-6609/1024*I,119/128+143/128*I,-10879/2048+4343/4096*I], + [-4*I,27/2+6*I,-2,17/4-13/2*I,1+I,-19/4+5/4*I,1/2-I,9/4+55/16*I,-3/4,45/32-37/16*I,1/4+1/2*I,-129/64-9/64*I,1/4-5/16*I,65/128+87/64*I,-9/32-1/16*I,183/256-97/128*I], + [1/4+5/2*I,-23/8-57/16*I,1/4+13/4*I,-825/64-147/32*I,21/8+I,-537/64+143/16*I,-5/8-39/16*I,2473/256+137/64*I,-149/64+49/32*I,-177/128-1369/128*I,125/64+87/64*I,-2063/256+541/128*I,85/256-33/16*I,805/128+2415/512*I,-219/128+115/256*I,6301/4096-6609/1024*I], + [-4,9-5*I,-4*I,27/2+6*I,-2,17/4-13/2*I,1+I,-19/4+5/4*I,1/2-I,9/4+55/16*I,-3/4,45/32-37/16*I,1/4+1/2*I,-129/64-9/64*I,1/4-5/16*I,65/128+87/64*I], + [-2*I,119/8+29/4*I,1/4+5/2*I,-23/8-57/16*I,1/4+13/4*I,-825/64-147/32*I,21/8+I,-537/64+143/16*I,-5/8-39/16*I,2473/256+137/64*I,-149/64+49/32*I,-177/128-1369/128*I,125/64+87/64*I,-2063/256+541/128*I,85/256-33/16*I,805/128+2415/512*I], + [0,-6,-4,9-5*I,-4*I,27/2+6*I,-2,17/4-13/2*I,1+I,-19/4+5/4*I,1/2-I,9/4+55/16*I,-3/4,45/32-37/16*I,1/4+1/2*I,-129/64-9/64*I], + [1,-9/4+3*I,-2*I,119/8+29/4*I,1/4+5/2*I,-23/8-57/16*I,1/4+13/4*I,-825/64-147/32*I,21/8+I,-537/64+143/16*I,-5/8-39/16*I,2473/256+137/64*I,-149/64+49/32*I,-177/128-1369/128*I,125/64+87/64*I,-2063/256+541/128*I], + [0,-4*I,0,-6,-4,9-5*I,-4*I,27/2+6*I,-2,17/4-13/2*I,1+I,-19/4+5/4*I,1/2-I,9/4+55/16*I,-3/4,45/32-37/16*I], + [0,1/4+1/2*I,1,-9/4+3*I,-2*I,119/8+29/4*I,1/4+5/2*I,-23/8-57/16*I,1/4+13/4*I,-825/64-147/32*I,21/8+I,-537/64+143/16*I,-5/8-39/16*I,2473/256+137/64*I,-149/64+49/32*I,-177/128-1369/128*I]]''')) + with dotprodsimp(True): + assert M.rank() == 8 + + +def test_issue_18531(): + # solve_linear_system still needs fixing but the rref works. + M = Matrix([ + [1, 1, 1, 1, 1, 0, 1, 0, 0], + [1 + sqrt(2), -1 + sqrt(2), 1 - sqrt(2), -sqrt(2) - 1, 1, 1, -1, 1, 1], + [-5 + 2*sqrt(2), -5 - 2*sqrt(2), -5 - 2*sqrt(2), -5 + 2*sqrt(2), -7, 2, -7, -2, 0], + [-3*sqrt(2) - 1, 1 - 3*sqrt(2), -1 + 3*sqrt(2), 1 + 3*sqrt(2), -7, -5, 7, -5, 3], + [7 - 4*sqrt(2), 4*sqrt(2) + 7, 4*sqrt(2) + 7, 7 - 4*sqrt(2), 7, -12, 7, 12, 0], + [-1 + 3*sqrt(2), 1 + 3*sqrt(2), -3*sqrt(2) - 1, 1 - 3*sqrt(2), 7, -5, -7, -5, 3], + [-3 + 2*sqrt(2), -3 - 2*sqrt(2), -3 - 2*sqrt(2), -3 + 2*sqrt(2), -1, 2, -1, -2, 0], + [1 - sqrt(2), -sqrt(2) - 1, 1 + sqrt(2), -1 + sqrt(2), -1, 1, 1, 1, 1] + ]) + with dotprodsimp(True): + assert M.rref() == (Matrix([ + [1, 0, 0, 0, 0, 0, 0, 0, S(1)/2], + [0, 1, 0, 0, 0, 0, 0, 0, -S(1)/2], + [0, 0, 1, 0, 0, 0, 0, 0, S(1)/2], + [0, 0, 0, 1, 0, 0, 0, 0, -S(1)/2], + [0, 0, 0, 0, 1, 0, 0, 0, 0], + [0, 0, 0, 0, 0, 1, 0, 0, -S(1)/2], + [0, 0, 0, 0, 0, 0, 1, 0, 0], + [0, 0, 0, 0, 0, 0, 0, 1, -S(1)/2]]), (0, 1, 2, 3, 4, 5, 6, 7)) + + +def test_creation(): + raises(ValueError, lambda: Matrix(5, 5, range(20))) + raises(ValueError, lambda: Matrix(5, -1, [])) + raises(IndexError, lambda: Matrix((1, 2))[2]) + with raises(IndexError): + Matrix((1, 2))[3] = 5 + + assert Matrix() == Matrix([]) == Matrix(0, 0, []) + assert Matrix([[]]) == Matrix(1, 0, []) + assert Matrix([[], []]) == Matrix(2, 0, []) + + # anything used to be allowed in a matrix + with warns_deprecated_sympy(): + assert Matrix([[[1], (2,)]]).tolist() == [[[1], (2,)]] + with warns_deprecated_sympy(): + assert Matrix([[[1], (2,)]]).T.tolist() == [[[1]], [(2,)]] + M = Matrix([[0]]) + with warns_deprecated_sympy(): + M[0, 0] = S.EmptySet + + a = Matrix([[x, 0], [0, 0]]) + m = a + assert m.cols == m.rows + assert m.cols == 2 + assert m[:] == [x, 0, 0, 0] + + b = Matrix(2, 2, [x, 0, 0, 0]) + m = b + assert m.cols == m.rows + assert m.cols == 2 + assert m[:] == [x, 0, 0, 0] + + assert a == b + + assert Matrix(b) == b + + c23 = Matrix(2, 3, range(1, 7)) + c13 = Matrix(1, 3, range(7, 10)) + c = Matrix([c23, c13]) + assert c.cols == 3 + assert c.rows == 3 + assert c[:] == [1, 2, 3, 4, 5, 6, 7, 8, 9] + + assert Matrix(eye(2)) == eye(2) + assert ImmutableMatrix(ImmutableMatrix(eye(2))) == ImmutableMatrix(eye(2)) + assert ImmutableMatrix(c) == c.as_immutable() + assert Matrix(ImmutableMatrix(c)) == ImmutableMatrix(c).as_mutable() + + assert c is not Matrix(c) + + dat = [[ones(3,2), ones(3,3)*2], [ones(2,3)*3, ones(2,2)*4]] + M = Matrix(dat) + assert M == Matrix([ + [1, 1, 2, 2, 2], + [1, 1, 2, 2, 2], + [1, 1, 2, 2, 2], + [3, 3, 3, 4, 4], + [3, 3, 3, 4, 4]]) + assert M.tolist() != dat + # keep block form if evaluate=False + assert Matrix(dat, evaluate=False).tolist() == dat + A = MatrixSymbol("A", 2, 2) + dat = [ones(2), A] + assert Matrix(dat) == Matrix([ + [ 1, 1], + [ 1, 1], + [A[0, 0], A[0, 1]], + [A[1, 0], A[1, 1]]]) + with warns_deprecated_sympy(): + assert Matrix(dat, evaluate=False).tolist() == [[i] for i in dat] + + # 0-dim tolerance + assert Matrix([ones(2), ones(0)]) == Matrix([ones(2)]) + raises(ValueError, lambda: Matrix([ones(2), ones(0, 3)])) + raises(ValueError, lambda: Matrix([ones(2), ones(3, 0)])) + + # mix of Matrix and iterable + M = Matrix([[1, 2], [3, 4]]) + M2 = Matrix([M, (5, 6)]) + assert M2 == Matrix([[1, 2], [3, 4], [5, 6]]) + + +def test_irregular_block(): + assert Matrix.irregular(3, ones(2,1), ones(3,3)*2, ones(2,2)*3, + ones(1,1)*4, ones(2,2)*5, ones(1,2)*6, ones(1,2)*7) == Matrix([ + [1, 2, 2, 2, 3, 3], + [1, 2, 2, 2, 3, 3], + [4, 2, 2, 2, 5, 5], + [6, 6, 7, 7, 5, 5]]) + + +def test_slicing(): + m0 = eye(4) + assert m0[:3, :3] == eye(3) + assert m0[2:4, 0:2] == zeros(2) + + m1 = Matrix(3, 3, lambda i, j: i + j) + assert m1[0, :] == Matrix(1, 3, (0, 1, 2)) + assert m1[1:3, 1] == Matrix(2, 1, (2, 3)) + + m2 = Matrix([[0, 1, 2, 3], [4, 5, 6, 7], [8, 9, 10, 11], [12, 13, 14, 15]]) + assert m2[:, -1] == Matrix(4, 1, [3, 7, 11, 15]) + assert m2[-2:, :] == Matrix([[8, 9, 10, 11], [12, 13, 14, 15]]) + + +def test_submatrix_assignment(): + m = zeros(4) + m[2:4, 2:4] = eye(2) + assert m == Matrix(((0, 0, 0, 0), + (0, 0, 0, 0), + (0, 0, 1, 0), + (0, 0, 0, 1))) + m[:2, :2] = eye(2) + assert m == eye(4) + m[:, 0] = Matrix(4, 1, (1, 2, 3, 4)) + assert m == Matrix(((1, 0, 0, 0), + (2, 1, 0, 0), + (3, 0, 1, 0), + (4, 0, 0, 1))) + m[:, :] = zeros(4) + assert m == zeros(4) + m[:, :] = [(1, 2, 3, 4), (5, 6, 7, 8), (9, 10, 11, 12), (13, 14, 15, 16)] + assert m == Matrix(((1, 2, 3, 4), + (5, 6, 7, 8), + (9, 10, 11, 12), + (13, 14, 15, 16))) + m[:2, 0] = [0, 0] + assert m == Matrix(((0, 2, 3, 4), + (0, 6, 7, 8), + (9, 10, 11, 12), + (13, 14, 15, 16))) + + +def test_reshape(): + m0 = eye(3) + assert m0.reshape(1, 9) == Matrix(1, 9, (1, 0, 0, 0, 1, 0, 0, 0, 1)) + m1 = Matrix(3, 4, lambda i, j: i + j) + assert m1.reshape( + 4, 3) == Matrix(((0, 1, 2), (3, 1, 2), (3, 4, 2), (3, 4, 5))) + assert m1.reshape(2, 6) == Matrix(((0, 1, 2, 3, 1, 2), (3, 4, 2, 3, 4, 5))) + + +def test_applyfunc(): + m0 = eye(3) + assert m0.applyfunc(lambda x: 2*x) == eye(3)*2 + assert m0.applyfunc(lambda x: 0) == zeros(3) + + +def test_expand(): + m0 = Matrix([[x*(x + y), 2], [((x + y)*y)*x, x*(y + x*(x + y))]]) + # Test if expand() returns a matrix + m1 = m0.expand() + assert m1 == Matrix( + [[x*y + x**2, 2], [x*y**2 + y*x**2, x*y + y*x**2 + x**3]]) + + a = Symbol('a', real=True) + + assert Matrix([exp(I*a)]).expand(complex=True) == \ + Matrix([cos(a) + I*sin(a)]) + + assert Matrix([[0, 1, 2], [0, 0, -1], [0, 0, 0]]).exp() == Matrix([ + [1, 1, Rational(3, 2)], + [0, 1, -1], + [0, 0, 1]] + ) + + +def test_refine(): + m0 = Matrix([[Abs(x)**2, sqrt(x**2)], + [sqrt(x**2)*Abs(y)**2, sqrt(y**2)*Abs(x)**2]]) + m1 = m0.refine(Q.real(x) & Q.real(y)) + assert m1 == Matrix([[x**2, Abs(x)], [y**2*Abs(x), x**2*Abs(y)]]) + + m1 = m0.refine(Q.positive(x) & Q.positive(y)) + assert m1 == Matrix([[x**2, x], [x*y**2, x**2*y]]) + + m1 = m0.refine(Q.negative(x) & Q.negative(y)) + assert m1 == Matrix([[x**2, -x], [-x*y**2, -x**2*y]]) + + +def test_random(): + M = randMatrix(3, 3) + M = randMatrix(3, 3, seed=3) + assert M == randMatrix(3, 3, seed=3) + + M = randMatrix(3, 4, 0, 150) + M = randMatrix(3, seed=4, symmetric=True) + assert M == randMatrix(3, seed=4, symmetric=True) + + S = M.copy() + S.simplify() + assert S == M # doesn't fail when elements are Numbers, not int + + rng = random.Random(4) + assert M == randMatrix(3, symmetric=True, prng=rng) + + # Ensure symmetry + for size in (10, 11): # Test odd and even + for percent in (100, 70, 30): + M = randMatrix(size, symmetric=True, percent=percent, prng=rng) + assert M == M.T + + M = randMatrix(10, min=1, percent=70) + zero_count = 0 + for i in range(M.shape[0]): + for j in range(M.shape[1]): + if M[i, j] == 0: + zero_count += 1 + assert zero_count == 30 + + +def test_inverse(): + A = eye(4) + assert A.inv() == eye(4) + assert A.inv(method="LU") == eye(4) + assert A.inv(method="ADJ") == eye(4) + assert A.inv(method="CH") == eye(4) + assert A.inv(method="LDL") == eye(4) + assert A.inv(method="QR") == eye(4) + A = Matrix([[2, 3, 5], + [3, 6, 2], + [8, 3, 6]]) + Ainv = A.inv() + assert A*Ainv == eye(3) + assert A.inv(method="LU") == Ainv + assert A.inv(method="ADJ") == Ainv + assert A.inv(method="CH") == Ainv + assert A.inv(method="LDL") == Ainv + assert A.inv(method="QR") == Ainv + + AA = Matrix([[0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 0, 0], + [1, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0], + [1, 1, 1, 1, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1], + [1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0], + [1, 0, 0, 1, 1, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0], + [1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 0, 0, 1, 1, 0, 1], + [0, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0], + [1, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1], + [0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1], + [1, 0, 1, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 0, 0], + [0, 1, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0], + [1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0], + [0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1], + [1, 1, 1, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 0], + [0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 1, 0, 0], + [1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 0, 0], + [0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1], + [0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1], + [1, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1], + [0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0], + [1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1], + [0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1], + [0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 0, 0], + [0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0], + [0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 0]]) + assert AA.inv(method="BLOCK") * AA == eye(AA.shape[0]) + # test that immutability is not a problem + cls = ImmutableMatrix + m = cls([[48, 49, 31], + [ 9, 71, 94], + [59, 28, 65]]) + assert all(type(m.inv(s)) is cls for s in 'GE ADJ LU CH LDL QR'.split()) + cls = ImmutableSparseMatrix + m = cls([[48, 49, 31], + [ 9, 71, 94], + [59, 28, 65]]) + assert all(type(m.inv(s)) is cls for s in 'GE ADJ LU CH LDL QR'.split()) + + +def test_inverse_symbolic_float_issue_26821(): + Tau, Tau_syn_in, Tau_syn_ex, C_m, Tau_syn_gap = symbols("Tau Tau_syn_in Tau_syn_ex C_m Tau_syn_gap") + __h = symbols("__h") + + M = Matrix([ + [0,0,0,0,0,(1.0*Tau*__h-1.0*Tau_syn_in*__h)/(2.0*Tau-1.0*Tau_syn_in),-1.0*Tau*Tau_syn_in/(2.0*Tau-1.0*Tau_syn_in)], + [0,0,0,0,0,(-1.0*Tau*__h+1.0*Tau_syn_in*__h)/(2.0*Tau*Tau_syn_in-1.0*Tau_syn_in**2),1.0], + [0,(1.0*Tau*__h-1.0*Tau_syn_ex*__h)/(2.0*Tau-1.0*Tau_syn_ex),-1.0*Tau*Tau_syn_ex/(2.0*Tau-1.0*Tau_syn_ex),0,0,0,0], + [0,(-1.0*Tau*__h+1.0*Tau_syn_ex*__h)/(2.0*Tau*Tau_syn_ex-1.0*Tau_syn_ex**2),1.0,0,0,0,0], + [0,0,0,(1.0*Tau*__h-1.0*Tau_syn_gap*__h)/(2.0*Tau-1.0*Tau_syn_gap),-1.0*Tau*Tau_syn_gap/(2.0*Tau-1.0*Tau_syn_gap),0,0], + [0,0,0,(-1.0*Tau*__h+1.0*Tau_syn_gap*__h)/(2.0*Tau*Tau_syn_gap-1.0*Tau_syn_gap**2),1.0,0,0], + [1.0,-1.0*Tau*Tau_syn_ex*__h/(2.0*C_m*Tau-1.0*C_m*Tau_syn_ex),0,-1.0*Tau*Tau_syn_gap*__h/(2.0*C_m*Tau-1.0*C_m*Tau_syn_gap),0,-1.0*Tau*Tau_syn_in*__h/(2.0*C_m*Tau-1.0*C_m*Tau_syn_in),0] + ]) + + Mi = M.inv() + + assert (M*Mi - eye(7)).applyfunc(cancel) == zeros(7) + + # https://github.com/sympy/sympy/issues/26821 + # Previously very large floats were in the result. + assert max(abs(f) for f in Mi.atoms(Float)) < 1e3 + + +@slow +def test_matrix_exponential_issue_26821(): + # The symbol names matter in the original bug... + a, b, c, d, e = symbols("Tau, Tau_syn_in, Tau_syn_ex, C_m, Tau_syn_gap") + t = symbols("__h") + M = Matrix([ + [ 0, 1.0, 0, 0, 0, 0, 0], + [-1/b**2, -2/b, 0, 0, 0, 0, 0], + [ 0, 0, 0, 1.0, 0, 0, 0], + [ 0, 0, -1/c**2, -2/c, 0, 0, 0], + [ 0, 0, 0, 0, 0, 1, 0], + [ 0, 0, 0, 0, -1/e**2, -2/e, 0], + [ 1/d, 0, 1/d, 0, 1/d, 0, -1/a] + ]) + + Me = (t*M).exp() + assert (Me.diff(t) - M*Me).applyfunc(cancel) == zeros(7) + # https://github.com/sympy/sympy/issues/26821 + # Previously very large floats were in the result. + assert max(abs(f) for f in Me.atoms(Float)) < 1e3 + + +def test_jacobian_hessian(): + L = Matrix(1, 2, [x**2*y, 2*y**2 + x*y]) + syms = [x, y] + assert L.jacobian(syms) == Matrix([[2*x*y, x**2], [y, 4*y + x]]) + + L = Matrix(1, 2, [x, x**2*y**3]) + assert L.jacobian(syms) == Matrix([[1, 0], [2*x*y**3, x**2*3*y**2]]) + + f = x**2*y + syms = [x, y] + assert hessian(f, syms) == Matrix([[2*y, 2*x], [2*x, 0]]) + + f = x**2*y**3 + assert hessian(f, syms) == \ + Matrix([[2*y**3, 6*x*y**2], [6*x*y**2, 6*x**2*y]]) + + f = z + x*y**2 + g = x**2 + 2*y**3 + ans = Matrix([[0, 2*y], + [2*y, 2*x]]) + assert ans == hessian(f, Matrix([x, y])) + assert ans == hessian(f, Matrix([x, y]).T) + assert hessian(f, (y, x), [g]) == Matrix([ + [ 0, 6*y**2, 2*x], + [6*y**2, 2*x, 2*y], + [ 2*x, 2*y, 0]]) + + +def test_wronskian(): + assert wronskian([cos(x), sin(x)], x) == cos(x)**2 + sin(x)**2 + assert wronskian([exp(x), exp(2*x)], x) == exp(3*x) + assert wronskian([exp(x), x], x) == exp(x) - x*exp(x) + assert wronskian([1, x, x**2], x) == 2 + w1 = -6*exp(x)*sin(x)*x + 6*cos(x)*exp(x)*x**2 - 6*exp(x)*cos(x)*x - \ + exp(x)*cos(x)*x**3 + exp(x)*sin(x)*x**3 + assert wronskian([exp(x), cos(x), x**3], x).expand() == w1 + assert wronskian([exp(x), cos(x), x**3], x, method='berkowitz').expand() \ + == w1 + w2 = -x**3*cos(x)**2 - x**3*sin(x)**2 - 6*x*cos(x)**2 - 6*x*sin(x)**2 + assert wronskian([sin(x), cos(x), x**3], x).expand() == w2 + assert wronskian([sin(x), cos(x), x**3], x, method='berkowitz').expand() \ + == w2 + assert wronskian([], x) == 1 + + +def test_xreplace(): + assert Matrix([[1, x], [x, 4]]).xreplace({x: 5}) == \ + Matrix([[1, 5], [5, 4]]) + assert Matrix([[x, 2], [x + y, 4]]).xreplace({x: -1, y: -2}) == \ + Matrix([[-1, 2], [-3, 4]]) + for cls in all_classes: + assert Matrix([[2, 0], [0, 2]]) == cls.eye(2).xreplace({1: 2}) + + +def test_simplify(): + n = Symbol('n') + f = Function('f') + + M = Matrix([[ 1/x + 1/y, (x + x*y) / x ], + [ (f(x) + y*f(x))/f(x), 2 * (1/n - cos(n * pi)/n) / pi ]]) + M.simplify() + assert M == Matrix([[ (x + y)/(x * y), 1 + y ], + [ 1 + y, 2*((1 - 1*cos(pi*n))/(pi*n)) ]]) + eq = (1 + x)**2 + M = Matrix([[eq]]) + M.simplify() + assert M == Matrix([[eq]]) + M.simplify(ratio=oo) + assert M == Matrix([[eq.simplify(ratio=oo)]]) + + n = Symbol('n') + f = Function('f') + + M = ImmutableMatrix([ + [ 1/x + 1/y, (x + x*y) / x ], + [ (f(x) + y*f(x))/f(x), 2 * (1/n - cos(n * pi)/n) / pi ] + ]) + assert M.simplify() == Matrix([ + [ (x + y)/(x * y), 1 + y ], + [ 1 + y, 2*((1 - 1*cos(pi*n))/(pi*n)) ] + ]) + + eq = (1 + x)**2 + M = ImmutableMatrix([[eq]]) + assert M.simplify() == Matrix([[eq]]) + assert M.simplify(ratio=oo) == Matrix([[eq.simplify(ratio=oo)]]) + + assert simplify(ImmutableMatrix([[sin(x)**2 + cos(x)**2]])) == \ + ImmutableMatrix([[1]]) + + # https://github.com/sympy/sympy/issues/19353 + m = Matrix([[30, 2], [3, 4]]) + assert (1/(m.trace())).simplify() == Rational(1, 34) + +def test_transpose(): + M = Matrix([[1, 2, 3, 4, 5, 6, 7, 8, 9, 0], + [1, 2, 3, 4, 5, 6, 7, 8, 9, 0]]) + assert M.T == Matrix( [ [1, 1], + [2, 2], + [3, 3], + [4, 4], + [5, 5], + [6, 6], + [7, 7], + [8, 8], + [9, 9], + [0, 0] ]) + assert M.T.T == M + assert M.T == M.transpose() + + +def test_conj_dirac(): + raises(AttributeError, lambda: eye(3).D) + + M = Matrix([[1, I, I, I], + [0, 1, I, I], + [0, 0, 1, I], + [0, 0, 0, 1]]) + + assert M.D == Matrix([[ 1, 0, 0, 0], + [-I, 1, 0, 0], + [-I, -I, -1, 0], + [-I, -I, I, -1]]) + + +def test_trace(): + M = Matrix([[1, 0, 0], + [0, 5, 0], + [0, 0, 8]]) + assert M.trace() == 14 + + +def test_shape(): + m = Matrix(1, 2, [0, 0]) + assert m.shape == (1, 2) + M = Matrix([[x, 0, 0], + [0, y, 0]]) + assert M.shape == (2, 3) + + +def test_col_row_op(): + M = Matrix([[x, 0, 0], + [0, y, 0]]) + M.row_op(1, lambda r, j: r + j + 1) + assert M == Matrix([[x, 0, 0], + [1, y + 2, 3]]) + + M.col_op(0, lambda c, j: c + y**j) + assert M == Matrix([[x + 1, 0, 0], + [1 + y, y + 2, 3]]) + + # neither row nor slice give copies that allow the original matrix to + # be changed + assert M.row(0) == Matrix([[x + 1, 0, 0]]) + r1 = M.row(0) + r1[0] = 42 + assert M[0, 0] == x + 1 + r1 = M[0, :-1] # also testing negative slice + r1[0] = 42 + assert M[0, 0] == x + 1 + c1 = M.col(0) + assert c1 == Matrix([x + 1, 1 + y]) + c1[0] = 0 + assert M[0, 0] == x + 1 + c1 = M[:, 0] + c1[0] = 42 + assert M[0, 0] == x + 1 + + +def test_row_mult(): + M = Matrix([[1,2,3], + [4,5,6]]) + M.row_mult(1,3) + assert M[1,0] == 12 + assert M[0,0] == 1 + assert M[1,2] == 18 + + +def test_row_add(): + M = Matrix([[1,2,3], + [4,5,6], + [1,1,1]]) + M.row_add(2,0,5) + assert M[0,0] == 6 + assert M[1,0] == 4 + assert M[0,2] == 8 + + +def test_zip_row_op(): + for cls in mutable_classes: # XXX: immutable matrices don't support row ops + M = cls.eye(3) + M.zip_row_op(1, 0, lambda v, u: v + 2*u) + assert M == cls([[1, 0, 0], + [2, 1, 0], + [0, 0, 1]]) + + M = cls.eye(3)*2 + M[0, 1] = -1 + M.zip_row_op(1, 0, lambda v, u: v + 2*u); M + assert M == cls([[2, -1, 0], + [4, 0, 0], + [0, 0, 2]]) + + +def test_issue_3950(): + m = Matrix([1, 2, 3]) + a = Matrix([1, 2, 3]) + b = Matrix([2, 2, 3]) + assert not (m in []) + assert not (m in [1]) + assert m != 1 + assert m == a + assert m != b + + +def test_issue_3981(): + class Index1: + def __index__(self): + return 1 + + class Index2: + def __index__(self): + return 2 + index1 = Index1() + index2 = Index2() + + m = Matrix([1, 2, 3]) + + assert m[index2] == 3 + + m[index2] = 5 + assert m[2] == 5 + + m = Matrix([[1, 2, 3], [4, 5, 6]]) + assert m[index1, index2] == 6 + assert m[1, index2] == 6 + assert m[index1, 2] == 6 + + m[index1, index2] = 4 + assert m[1, 2] == 4 + m[1, index2] = 6 + assert m[1, 2] == 6 + m[index1, 2] = 8 + assert m[1, 2] == 8 + + +def test_is_upper(): + a = Matrix([[1, 2, 3]]) + assert a.is_upper is True + a = Matrix([[1], [2], [3]]) + assert a.is_upper is False + a = zeros(4, 2) + assert a.is_upper is True + + +def test_is_lower(): + a = Matrix([[1, 2, 3]]) + assert a.is_lower is False + a = Matrix([[1], [2], [3]]) + assert a.is_lower is True + + +def test_is_nilpotent(): + a = Matrix(4, 4, [0, 2, 1, 6, 0, 0, 1, 2, 0, 0, 0, 3, 0, 0, 0, 0]) + assert a.is_nilpotent() + a = Matrix([[1, 0], [0, 1]]) + assert not a.is_nilpotent() + a = Matrix([]) + assert a.is_nilpotent() + + +def test_zeros_ones_fill(): + n, m = 3, 5 + + a = zeros(n, m) + a.fill( 5 ) + + b = 5 * ones(n, m) + + assert a == b + assert a.rows == b.rows == 3 + assert a.cols == b.cols == 5 + assert a.shape == b.shape == (3, 5) + assert zeros(2) == zeros(2, 2) + assert ones(2) == ones(2, 2) + assert zeros(2, 3) == Matrix(2, 3, [0]*6) + assert ones(2, 3) == Matrix(2, 3, [1]*6) + + a.fill(0) + assert a == zeros(n, m) + + +def test_empty_zeros(): + a = zeros(0) + assert a == Matrix() + a = zeros(0, 2) + assert a.rows == 0 + assert a.cols == 2 + a = zeros(2, 0) + assert a.rows == 2 + assert a.cols == 0 + + +def test_issue_3749(): + a = Matrix([[x**2, x*y], [x*sin(y), x*cos(y)]]) + assert a.diff(x) == Matrix([[2*x, y], [sin(y), cos(y)]]) + assert Matrix([ + [x, -x, x**2], + [exp(x), 1/x - exp(-x), x + 1/x]]).limit(x, oo) == \ + Matrix([[oo, -oo, oo], [oo, 0, oo]]) + assert Matrix([ + [(exp(x) - 1)/x, 2*x + y*x, x**x ], + [1/x, abs(x), abs(sin(x + 1))]]).limit(x, 0) == \ + Matrix([[1, 0, 1], [oo, 0, sin(1)]]) + assert a.integrate(x) == Matrix([ + [Rational(1, 3)*x**3, y*x**2/2], + [x**2*sin(y)/2, x**2*cos(y)/2]]) + + +def test_inv_iszerofunc(): + A = eye(4) + A.col_swap(0, 1) + for method in "GE", "LU": + assert A.inv(method=method, iszerofunc=lambda x: x == 0) == \ + A.inv(method="ADJ") + + +def test_jacobian_metrics(): + rho, phi = symbols("rho,phi") + X = Matrix([rho*cos(phi), rho*sin(phi)]) + Y = Matrix([rho, phi]) + J = X.jacobian(Y) + assert J == X.jacobian(Y.T) + assert J == (X.T).jacobian(Y) + assert J == (X.T).jacobian(Y.T) + g = J.T*eye(J.shape[0])*J + g = g.applyfunc(trigsimp) + assert g == Matrix([[1, 0], [0, rho**2]]) + + +def test_jacobian2(): + rho, phi = symbols("rho,phi") + X = Matrix([rho*cos(phi), rho*sin(phi), rho**2]) + Y = Matrix([rho, phi]) + J = Matrix([ + [cos(phi), -rho*sin(phi)], + [sin(phi), rho*cos(phi)], + [ 2*rho, 0], + ]) + assert X.jacobian(Y) == J + + +def test_issue_4564(): + X = Matrix([exp(x + y + z), exp(x + y + z), exp(x + y + z)]) + Y = Matrix([x, y, z]) + for i in range(1, 3): + for j in range(1, 3): + X_slice = X[:i, :] + Y_slice = Y[:j, :] + J = X_slice.jacobian(Y_slice) + assert J.rows == i + assert J.cols == j + for k in range(j): + assert J[:, k] == X_slice + + +def test_nonvectorJacobian(): + X = Matrix([[exp(x + y + z), exp(x + y + z)], + [exp(x + y + z), exp(x + y + z)]]) + raises(TypeError, lambda: X.jacobian(Matrix([x, y, z]))) + X = X[0, :] + Y = Matrix([[x, y], [x, z]]) + raises(TypeError, lambda: X.jacobian(Y)) + raises(TypeError, lambda: X.jacobian(Matrix([ [x, y], [x, z] ]))) + + +def test_vec(): + m = Matrix([[1, 3], [2, 4]]) + m_vec = m.vec() + assert m_vec.cols == 1 + for i in range(4): + assert m_vec[i] == i + 1 + + +def test_vech(): + m = Matrix([[1, 2], [2, 3]]) + m_vech = m.vech() + assert m_vech.cols == 1 + for i in range(3): + assert m_vech[i] == i + 1 + m_vech = m.vech(diagonal=False) + assert m_vech[0] == 2 + + m = Matrix([[1, x*(x + y)], [y*x + x**2, 1]]) + m_vech = m.vech(diagonal=False) + assert m_vech[0] == y*x + x**2 + + m = Matrix([[1, x*(x + y)], [y*x, 1]]) + m_vech = m.vech(diagonal=False, check_symmetry=False) + assert m_vech[0] == y*x + + raises(ShapeError, lambda: Matrix([[1, 3]]).vech()) + raises(ValueError, lambda: Matrix([[1, 3], [2, 4]]).vech()) + raises(ShapeError, lambda: Matrix([[1, 3]]).vech()) + raises(ValueError, lambda: Matrix([[1, 3], [2, 4]]).vech()) + + +def test_diag(): + # mostly tested in testcommonmatrix.py + assert diag([1, 2, 3]) == Matrix([1, 2, 3]) + m = [1, 2, [3]] + raises(ValueError, lambda: diag(m)) + assert diag(m, strict=False) == Matrix([1, 2, 3]) + + +def test_inv_block(): + a = Matrix([[1, 2], [2, 3]]) + b = Matrix([[3, x], [y, 3]]) + c = Matrix([[3, x, 3], [y, 3, z], [x, y, z]]) + A = diag(a, b, b) + assert A.inv(try_block_diag=True) == diag(a.inv(), b.inv(), b.inv()) + A = diag(a, b, c) + assert A.inv(try_block_diag=True) == diag(a.inv(), b.inv(), c.inv()) + A = diag(a, c, b) + assert A.inv(try_block_diag=True) == diag(a.inv(), c.inv(), b.inv()) + A = diag(a, a, b, a, c, a) + assert A.inv(try_block_diag=True) == diag( + a.inv(), a.inv(), b.inv(), a.inv(), c.inv(), a.inv()) + assert A.inv(try_block_diag=True, method="ADJ") == diag( + a.inv(method="ADJ"), a.inv(method="ADJ"), b.inv(method="ADJ"), + a.inv(method="ADJ"), c.inv(method="ADJ"), a.inv(method="ADJ")) + + +def test_creation_args(): + """ + Check that matrix dimensions can be specified using any reasonable type + (see issue 4614). + """ + raises(ValueError, lambda: zeros(3, -1)) + raises(TypeError, lambda: zeros(1, 2, 3, 4)) + assert zeros(int(3)) == zeros(3) + assert zeros(Integer(3)) == zeros(3) + raises(ValueError, lambda: zeros(3.)) + assert eye(int(3)) == eye(3) + assert eye(Integer(3)) == eye(3) + raises(ValueError, lambda: eye(3.)) + assert ones(int(3), Integer(4)) == ones(3, 4) + raises(TypeError, lambda: Matrix(5)) + raises(TypeError, lambda: Matrix(1, 2)) + raises(ValueError, lambda: Matrix([1, [2]])) + + +def test_diagonal_symmetrical(): + m = Matrix(2, 2, [0, 1, 1, 0]) + assert not m.is_diagonal() + assert m.is_symmetric() + assert m.is_symmetric(simplify=False) + + m = Matrix(2, 2, [1, 0, 0, 1]) + assert m.is_diagonal() + + m = diag(1, 2, 3) + assert m.is_diagonal() + assert m.is_symmetric() + + m = Matrix(3, 3, [1, 0, 0, 0, 2, 0, 0, 0, 3]) + assert m == diag(1, 2, 3) + + m = Matrix(2, 3, zeros(2, 3)) + assert not m.is_symmetric() + assert m.is_diagonal() + + m = Matrix(((5, 0), (0, 6), (0, 0))) + assert m.is_diagonal() + + m = Matrix(((5, 0, 0), (0, 6, 0))) + assert m.is_diagonal() + + m = Matrix(3, 3, [1, x**2 + 2*x + 1, y, (x + 1)**2, 2, 0, y, 0, 3]) + assert m.is_symmetric() + assert not m.is_symmetric(simplify=False) + assert m.expand().is_symmetric(simplify=False) + + +def test_diagonalization(): + m = Matrix([[1, 2+I], [2-I, 3]]) + assert m.is_diagonalizable() + + m = Matrix(3, 2, [-3, 1, -3, 20, 3, 10]) + assert not m.is_diagonalizable() + assert not m.is_symmetric() + raises(NonSquareMatrixError, lambda: m.diagonalize()) + + # diagonalizable + m = diag(1, 2, 3) + (P, D) = m.diagonalize() + assert P == eye(3) + assert D == m + + m = Matrix(2, 2, [0, 1, 1, 0]) + assert m.is_symmetric() + assert m.is_diagonalizable() + (P, D) = m.diagonalize() + assert P.inv() * m * P == D + + m = Matrix(2, 2, [1, 0, 0, 3]) + assert m.is_symmetric() + assert m.is_diagonalizable() + (P, D) = m.diagonalize() + assert P.inv() * m * P == D + assert P == eye(2) + assert D == m + + m = Matrix(2, 2, [1, 1, 0, 0]) + assert m.is_diagonalizable() + (P, D) = m.diagonalize() + assert P.inv() * m * P == D + + m = Matrix(3, 3, [1, 2, 0, 0, 3, 0, 2, -4, 2]) + assert m.is_diagonalizable() + (P, D) = m.diagonalize() + assert P.inv() * m * P == D + for i in P: + assert i.as_numer_denom()[1] == 1 + + m = Matrix(2, 2, [1, 0, 0, 0]) + assert m.is_diagonal() + assert m.is_diagonalizable() + (P, D) = m.diagonalize() + assert P.inv() * m * P == D + assert P == Matrix([[0, 1], [1, 0]]) + + # diagonalizable, complex only + m = Matrix(2, 2, [0, 1, -1, 0]) + assert not m.is_diagonalizable(True) + raises(MatrixError, lambda: m.diagonalize(True)) + assert m.is_diagonalizable() + (P, D) = m.diagonalize() + assert P.inv() * m * P == D + + # not diagonalizable + m = Matrix(2, 2, [0, 1, 0, 0]) + assert not m.is_diagonalizable() + raises(MatrixError, lambda: m.diagonalize()) + + m = Matrix(3, 3, [-3, 1, -3, 20, 3, 10, 2, -2, 4]) + assert not m.is_diagonalizable() + raises(MatrixError, lambda: m.diagonalize()) + + # symbolic + a, b, c, d = symbols('a b c d') + m = Matrix(2, 2, [a, c, c, b]) + assert m.is_symmetric() + assert m.is_diagonalizable() + + +def test_issue_15887(): + # Mutable matrix should not use cache + a = MutableDenseMatrix([[0, 1], [1, 0]]) + assert a.is_diagonalizable() is True + a[1, 0] = 0 + assert a.is_diagonalizable() is False + + a = MutableDenseMatrix([[0, 1], [1, 0]]) + a.diagonalize() + a[1, 0] = 0 + raises(MatrixError, lambda: a.diagonalize()) + + +def test_jordan_form(): + + m = Matrix(3, 2, [-3, 1, -3, 20, 3, 10]) + raises(NonSquareMatrixError, lambda: m.jordan_form()) + + # diagonalizable + m = Matrix(3, 3, [7, -12, 6, 10, -19, 10, 12, -24, 13]) + Jmust = Matrix(3, 3, [-1, 0, 0, 0, 1, 0, 0, 0, 1]) + P, J = m.jordan_form() + assert Jmust == J + assert Jmust == m.diagonalize()[1] + + # m = Matrix(3, 3, [0, 6, 3, 1, 3, 1, -2, 2, 1]) + # m.jordan_form() # very long + # m.jordan_form() # + + # diagonalizable, complex only + + # Jordan cells + # complexity: one of eigenvalues is zero + m = Matrix(3, 3, [0, 1, 0, -4, 4, 0, -2, 1, 2]) + # The blocks are ordered according to the value of their eigenvalues, + # in order to make the matrix compatible with .diagonalize() + Jmust = Matrix(3, 3, [2, 1, 0, 0, 2, 0, 0, 0, 2]) + P, J = m.jordan_form() + assert Jmust == J + + # complexity: all of eigenvalues are equal + m = Matrix(3, 3, [2, 6, -15, 1, 1, -5, 1, 2, -6]) + # Jmust = Matrix(3, 3, [-1, 0, 0, 0, -1, 1, 0, 0, -1]) + # same here see 1456ff + Jmust = Matrix(3, 3, [-1, 1, 0, 0, -1, 0, 0, 0, -1]) + P, J = m.jordan_form() + assert Jmust == J + + # complexity: two of eigenvalues are zero + m = Matrix(3, 3, [4, -5, 2, 5, -7, 3, 6, -9, 4]) + Jmust = Matrix(3, 3, [0, 1, 0, 0, 0, 0, 0, 0, 1]) + P, J = m.jordan_form() + assert Jmust == J + + m = Matrix(4, 4, [6, 5, -2, -3, -3, -1, 3, 3, 2, 1, -2, -3, -1, 1, 5, 5]) + Jmust = Matrix(4, 4, [2, 1, 0, 0, + 0, 2, 0, 0, + 0, 0, 2, 1, + 0, 0, 0, 2] + ) + P, J = m.jordan_form() + assert Jmust == J + + m = Matrix(4, 4, [6, 2, -8, -6, -3, 2, 9, 6, 2, -2, -8, -6, -1, 0, 3, 4]) + # Jmust = Matrix(4, 4, [2, 0, 0, 0, 0, 2, 1, 0, 0, 0, 2, 0, 0, 0, 0, -2]) + # same here see 1456ff + Jmust = Matrix(4, 4, [-2, 0, 0, 0, + 0, 2, 1, 0, + 0, 0, 2, 0, + 0, 0, 0, 2]) + P, J = m.jordan_form() + assert Jmust == J + + m = Matrix(4, 4, [5, 4, 2, 1, 0, 1, -1, -1, -1, -1, 3, 0, 1, 1, -1, 2]) + assert not m.is_diagonalizable() + Jmust = Matrix(4, 4, [1, 0, 0, 0, 0, 2, 0, 0, 0, 0, 4, 1, 0, 0, 0, 4]) + P, J = m.jordan_form() + assert Jmust == J + + # checking for maximum precision to remain unchanged + m = Matrix([[Float('1.0', precision=110), Float('2.0', precision=110)], + [Float('3.14159265358979323846264338327', precision=110), Float('4.0', precision=110)]]) + P, J = m.jordan_form() + for term in J.values(): + if isinstance(term, Float): + assert term._prec == 110 + + +def test_jordan_form_complex_issue_9274(): + A = Matrix([[ 2, 4, 1, 0], + [-4, 2, 0, 1], + [ 0, 0, 2, 4], + [ 0, 0, -4, 2]]) + p = 2 - 4*I + q = 2 + 4*I + Jmust1 = Matrix([[p, 1, 0, 0], + [0, p, 0, 0], + [0, 0, q, 1], + [0, 0, 0, q]]) + Jmust2 = Matrix([[q, 1, 0, 0], + [0, q, 0, 0], + [0, 0, p, 1], + [0, 0, 0, p]]) + P, J = A.jordan_form() + assert J == Jmust1 or J == Jmust2 + assert simplify(P*J*P.inv()) == A + + +def test_issue_10220(): + # two non-orthogonal Jordan blocks with eigenvalue 1 + M = Matrix([[1, 0, 0, 1], + [0, 1, 1, 0], + [0, 0, 1, 1], + [0, 0, 0, 1]]) + P, J = M.jordan_form() + assert P == Matrix([[0, 1, 0, 1], + [1, 0, 0, 0], + [0, 1, 0, 0], + [0, 0, 1, 0]]) + assert J == Matrix([ + [1, 1, 0, 0], + [0, 1, 1, 0], + [0, 0, 1, 0], + [0, 0, 0, 1]]) + + +def test_jordan_form_issue_15858(): + A = Matrix([ + [1, 1, 1, 0], + [-2, -1, 0, -1], + [0, 0, -1, -1], + [0, 0, 2, 1]]) + (P, J) = A.jordan_form() + assert P.expand() == Matrix([ + [ -I, -I/2, I, I/2], + [-1 + I, 0, -1 - I, 0], + [ 0, -S(1)/2 - I/2, 0, -S(1)/2 + I/2], + [ 0, 1, 0, 1]]) + assert J == Matrix([ + [-I, 1, 0, 0], + [0, -I, 0, 0], + [0, 0, I, 1], + [0, 0, 0, I]]) + + +def test_Matrix_berkowitz_charpoly(): + UA, K_i, K_w = symbols('UA K_i K_w') + + A = Matrix([[-K_i - UA + K_i**2/(K_i + K_w), K_i*K_w/(K_i + K_w)], + [ K_i*K_w/(K_i + K_w), -K_w + K_w**2/(K_i + K_w)]]) + + charpoly = A.charpoly(x) + + assert charpoly == \ + Poly(x**2 + (K_i*UA + K_w*UA + 2*K_i*K_w)/(K_i + K_w)*x + + K_i*K_w*UA/(K_i + K_w), x, domain='ZZ(K_i,K_w,UA)') + + assert type(charpoly) is PurePoly + + A = Matrix([[1, 3], [2, 0]]) + assert A.charpoly() == A.charpoly(x) == PurePoly(x**2 - x - 6) + + A = Matrix([[1, 2], [x, 0]]) + p = A.charpoly(x) + assert p.gen != x + assert p.as_expr().subs(p.gen, x) == x**2 - 3*x + + +def test_exp_jordan_block(): + l = Symbol('lamda') + + m = Matrix.jordan_block(1, l) + assert m._eval_matrix_exp_jblock() == Matrix([[exp(l)]]) + + m = Matrix.jordan_block(3, l) + assert m._eval_matrix_exp_jblock() == \ + Matrix([ + [exp(l), exp(l), exp(l)/2], + [0, exp(l), exp(l)], + [0, 0, exp(l)]]) + + +def test_exp(): + m = Matrix([[3, 4], [0, -2]]) + m_exp = Matrix([[exp(3), -4*exp(-2)/5 + 4*exp(3)/5], [0, exp(-2)]]) + assert m.exp() == m_exp + assert exp(m) == m_exp + + m = Matrix([[1, 0], [0, 1]]) + assert m.exp() == Matrix([[E, 0], [0, E]]) + assert exp(m) == Matrix([[E, 0], [0, E]]) + + m = Matrix([[1, -1], [1, 1]]) + assert m.exp() == Matrix([[E*cos(1), -E*sin(1)], [E*sin(1), E*cos(1)]]) + + +def test_log(): + l = Symbol('lamda') + + m = Matrix.jordan_block(1, l) + assert m._eval_matrix_log_jblock() == Matrix([[log(l)]]) + + m = Matrix.jordan_block(4, l) + assert m._eval_matrix_log_jblock() == \ + Matrix( + [ + [log(l), 1/l, -1/(2*l**2), 1/(3*l**3)], + [0, log(l), 1/l, -1/(2*l**2)], + [0, 0, log(l), 1/l], + [0, 0, 0, log(l)] + ] + ) + + m = Matrix( + [[0, 0, 1], + [0, 0, 0], + [-1, 0, 0]] + ) + raises(MatrixError, lambda: m.log()) + + +def test_find_reasonable_pivot_naive_finds_guaranteed_nonzero1(): + # Test if matrices._find_reasonable_pivot_naive() + # finds a guaranteed non-zero pivot when the + # some of the candidate pivots are symbolic expressions. + # Keyword argument: simpfunc=None indicates that no simplifications + # should be performed during the search. + x = Symbol('x') + column = Matrix(3, 1, [x, cos(x)**2 + sin(x)**2, S.Half]) + pivot_offset, pivot_val, pivot_assumed_nonzero, simplified =\ + _find_reasonable_pivot_naive(column) + assert pivot_val == S.Half + + +def test_find_reasonable_pivot_naive_finds_guaranteed_nonzero2(): + # Test if matrices._find_reasonable_pivot_naive() + # finds a guaranteed non-zero pivot when the + # some of the candidate pivots are symbolic expressions. + # Keyword argument: simpfunc=_simplify indicates that the search + # should attempt to simplify candidate pivots. + x = Symbol('x') + column = Matrix(3, 1, + [x, + cos(x)**2+sin(x)**2+x**2, + cos(x)**2+sin(x)**2]) + pivot_offset, pivot_val, pivot_assumed_nonzero, simplified =\ + _find_reasonable_pivot_naive(column, simpfunc=_simplify) + assert pivot_val == 1 + + +def test_find_reasonable_pivot_naive_simplifies(): + # Test if matrices._find_reasonable_pivot_naive() + # simplifies candidate pivots, and reports + # their offsets correctly. + x = Symbol('x') + column = Matrix(3, 1, + [x, + cos(x)**2+sin(x)**2+x, + cos(x)**2+sin(x)**2]) + pivot_offset, pivot_val, pivot_assumed_nonzero, simplified =\ + _find_reasonable_pivot_naive(column, simpfunc=_simplify) + + assert len(simplified) == 2 + assert simplified[0][0] == 1 + assert simplified[0][1] == 1+x + assert simplified[1][0] == 2 + assert simplified[1][1] == 1 + + +def test_errors(): + raises(ValueError, lambda: Matrix([[1, 2], [1]])) + raises(IndexError, lambda: Matrix([[1, 2]])[1.2, 5]) + raises(IndexError, lambda: Matrix([[1, 2]])[1, 5.2]) + raises(ValueError, lambda: randMatrix(3, c=4, symmetric=True)) + raises(ValueError, lambda: Matrix([1, 2]).reshape(4, 6)) + raises(ShapeError, + lambda: Matrix([[1, 2], [3, 4]]).copyin_matrix([1, 0], Matrix([1, 2]))) + raises(TypeError, lambda: Matrix([[1, 2], [3, 4]]).copyin_list([0, + 1], set())) + raises(NonSquareMatrixError, lambda: Matrix([[1, 2, 3], [2, 3, 0]]).inv()) + raises(ShapeError, + lambda: Matrix(1, 2, [1, 2]).row_join(Matrix([[1, 2], [3, 4]]))) + raises( + ShapeError, lambda: Matrix([1, 2]).col_join(Matrix([[1, 2], [3, 4]]))) + raises(ShapeError, lambda: Matrix([1]).row_insert(1, Matrix([[1, + 2], [3, 4]]))) + raises(ShapeError, lambda: Matrix([1]).col_insert(1, Matrix([[1, + 2], [3, 4]]))) + raises(NonSquareMatrixError, lambda: Matrix([1, 2]).trace()) + raises(TypeError, lambda: Matrix([1]).applyfunc(1)) + raises(ValueError, lambda: Matrix([[1, 2], [3, 4]]).minor(4, 5)) + raises(ValueError, lambda: Matrix([[1, 2], [3, 4]]).minor_submatrix(4, 5)) + raises(TypeError, lambda: Matrix([1, 2, 3]).cross(1)) + raises(TypeError, lambda: Matrix([1, 2, 3]).dot(1)) + raises(ShapeError, lambda: Matrix([1, 2, 3]).dot(Matrix([1, 2]))) + raises(ShapeError, lambda: Matrix([1, 2]).dot([])) + raises(TypeError, lambda: Matrix([1, 2]).dot('a')) + raises(ShapeError, lambda: Matrix([1, 2]).dot([1, 2, 3])) + raises(NonSquareMatrixError, lambda: Matrix([1, 2, 3]).exp()) + raises(ShapeError, lambda: Matrix([[1, 2], [3, 4]]).normalized()) + raises(ValueError, lambda: Matrix([1, 2]).inv(method='not a method')) + raises(NonSquareMatrixError, lambda: Matrix([1, 2]).inverse_GE()) + raises(ValueError, lambda: Matrix([[1, 2], [1, 2]]).inverse_GE()) + raises(NonSquareMatrixError, lambda: Matrix([1, 2]).inverse_ADJ()) + raises(ValueError, lambda: Matrix([[1, 2], [1, 2]]).inverse_ADJ()) + raises(NonSquareMatrixError, lambda: Matrix([1, 2]).inverse_LU()) + raises(NonSquareMatrixError, lambda: Matrix([1, 2]).is_nilpotent()) + raises(NonSquareMatrixError, lambda: Matrix([1, 2]).det()) + raises(ValueError, + lambda: Matrix([[1, 2], [3, 4]]).det(method='Not a real method')) + raises(ValueError, + lambda: Matrix([[1, 2, 3, 4], [5, 6, 7, 8], + [9, 10, 11, 12], [13, 14, 15, 16]]).det(iszerofunc="Not function")) + raises(ValueError, + lambda: Matrix([[1, 2, 3, 4], [5, 6, 7, 8], + [9, 10, 11, 12], [13, 14, 15, 16]]).det(iszerofunc=False)) + raises(ValueError, + lambda: hessian(Matrix([[1, 2], [3, 4]]), Matrix([[1, 2], [2, 1]]))) + raises(ValueError, lambda: hessian(Matrix([[1, 2], [3, 4]]), [])) + raises(ValueError, lambda: hessian(Symbol('x')**2, 'a')) + raises(IndexError, lambda: eye(3)[5, 2]) + raises(IndexError, lambda: eye(3)[2, 5]) + M = Matrix(((1, 2, 3, 4), (5, 6, 7, 8), (9, 10, 11, 12), (13, 14, 15, 16))) + raises(ValueError, lambda: M.det('method=LU_decomposition()')) + V = Matrix([[10, 10, 10]]) + M = Matrix([[1, 2, 3], [2, 3, 4], [3, 4, 5]]) + raises(ValueError, lambda: M.row_insert(4.7, V)) + M = Matrix([[1, 2, 3], [2, 3, 4], [3, 4, 5]]) + raises(ValueError, lambda: M.col_insert(-4.2, V)) + + +def test_len(): + assert len(Matrix()) == 0 + assert len(Matrix([[1, 2]])) == len(Matrix([[1], [2]])) == 2 + assert len(Matrix(0, 2, lambda i, j: 0)) == \ + len(Matrix(2, 0, lambda i, j: 0)) == 0 + assert len(Matrix([[0, 1, 2], [3, 4, 5]])) == 6 + assert Matrix([1]) == Matrix([[1]]) + assert not Matrix() + assert Matrix() == Matrix([]) + + +def test_integrate(): + A = Matrix(((1, 4, x), (y, 2, 4), (10, 5, x**2))) + assert A.integrate(x) == \ + Matrix(((x, 4*x, x**2/2), (x*y, 2*x, 4*x), (10*x, 5*x, x**3/3))) + assert A.integrate(y) == \ + Matrix(((y, 4*y, x*y), (y**2/2, 2*y, 4*y), (10*y, 5*y, y*x**2))) + m = Matrix(2, 1, [x, y]) + assert m.integrate(x) == Matrix(2, 1, [x**2/2, y*x]) + + +def test_diff(): + A = MutableDenseMatrix(((1, 4, x), (y, 2, 4), (10, 5, x**2 + 1))) + assert isinstance(A.diff(x), type(A)) + assert A.diff(x) == MutableDenseMatrix(((0, 0, 1), (0, 0, 0), (0, 0, 2*x))) + assert A.diff(y) == MutableDenseMatrix(((0, 0, 0), (1, 0, 0), (0, 0, 0))) + + assert diff(A, x) == MutableDenseMatrix(((0, 0, 1), (0, 0, 0), (0, 0, 2*x))) + assert diff(A, y) == MutableDenseMatrix(((0, 0, 0), (1, 0, 0), (0, 0, 0))) + + A_imm = A.as_immutable() + assert isinstance(A_imm.diff(x), type(A_imm)) + assert A_imm.diff(x) == ImmutableDenseMatrix(((0, 0, 1), (0, 0, 0), (0, 0, 2*x))) + assert A_imm.diff(y) == ImmutableDenseMatrix(((0, 0, 0), (1, 0, 0), (0, 0, 0))) + + assert diff(A_imm, x) == ImmutableDenseMatrix(((0, 0, 1), (0, 0, 0), (0, 0, 2*x))) + assert diff(A_imm, y) == ImmutableDenseMatrix(((0, 0, 0), (1, 0, 0), (0, 0, 0))) + + assert A.diff(x, evaluate=False) == ArrayDerivative(A, x, evaluate=False) + assert diff(A, x, evaluate=False) == ArrayDerivative(A, x, evaluate=False) + + +def test_diff_by_matrix(): + + # Derive matrix by matrix: + + A = MutableDenseMatrix([[x, y], [z, t]]) + assert A.diff(A) == Array([[[[1, 0], [0, 0]], [[0, 1], [0, 0]]], [[[0, 0], [1, 0]], [[0, 0], [0, 1]]]]) + assert diff(A, A) == Array([[[[1, 0], [0, 0]], [[0, 1], [0, 0]]], [[[0, 0], [1, 0]], [[0, 0], [0, 1]]]]) + + A_imm = A.as_immutable() + assert A_imm.diff(A_imm) == Array([[[[1, 0], [0, 0]], [[0, 1], [0, 0]]], [[[0, 0], [1, 0]], [[0, 0], [0, 1]]]]) + assert diff(A_imm, A_imm) == Array([[[[1, 0], [0, 0]], [[0, 1], [0, 0]]], [[[0, 0], [1, 0]], [[0, 0], [0, 1]]]]) + + # Derive a constant matrix: + assert A.diff(a) == MutableDenseMatrix([[0, 0], [0, 0]]) + + B = ImmutableDenseMatrix([a, b]) + assert A.diff(B) == Array.zeros(2, 1, 2, 2) + assert A.diff(A) == Array([[[[1, 0], [0, 0]], [[0, 1], [0, 0]]], [[[0, 0], [1, 0]], [[0, 0], [0, 1]]]]) + + # Test diff with tuples: + + dB = B.diff([[a, b]]) + assert dB.shape == (2, 2, 1) + assert dB == Array([[[1], [0]], [[0], [1]]]) + + f = Function("f") + fxyz = f(x, y, z) + assert fxyz.diff([[x, y, z]]) == Array([fxyz.diff(x), fxyz.diff(y), fxyz.diff(z)]) + assert fxyz.diff(([x, y, z], 2)) == Array([ + [fxyz.diff(x, 2), fxyz.diff(x, y), fxyz.diff(x, z)], + [fxyz.diff(x, y), fxyz.diff(y, 2), fxyz.diff(y, z)], + [fxyz.diff(x, z), fxyz.diff(z, y), fxyz.diff(z, 2)], + ]) + + expr = sin(x)*exp(y) + assert expr.diff([[x, y]]) == Array([cos(x)*exp(y), sin(x)*exp(y)]) + assert expr.diff(y, ((x, y),)) == Array([cos(x)*exp(y), sin(x)*exp(y)]) + assert expr.diff(x, ((x, y),)) == Array([-sin(x)*exp(y), cos(x)*exp(y)]) + assert expr.diff(((y, x),), [[x, y]]) == Array([[cos(x)*exp(y), -sin(x)*exp(y)], [sin(x)*exp(y), cos(x)*exp(y)]]) + + # Test different notations: + + assert fxyz.diff(x).diff(y).diff(x) == fxyz.diff(((x, y, z),), 3)[0, 1, 0] + assert fxyz.diff(z).diff(y).diff(x) == fxyz.diff(((x, y, z),), 3)[2, 1, 0] + assert fxyz.diff([[x, y, z]], ((z, y, x),)) == Array([[fxyz.diff(i).diff(j) for i in (x, y, z)] for j in (z, y, x)]) + + # Test scalar derived by matrix remains matrix: + res = x.diff(Matrix([[x, y]])) + assert isinstance(res, ImmutableDenseMatrix) + assert res == Matrix([[1, 0]]) + res = (x**3).diff(Matrix([[x, y]])) + assert isinstance(res, ImmutableDenseMatrix) + assert res == Matrix([[3*x**2, 0]]) + + +def test_getattr(): + A = Matrix(((1, 4, x), (y, 2, 4), (10, 5, x**2 + 1))) + raises(AttributeError, lambda: A.nonexistantattribute) + assert getattr(A, 'diff')(x) == Matrix(((0, 0, 1), (0, 0, 0), (0, 0, 2*x))) + + +def test_hessenberg(): + A = Matrix([[3, 4, 1], [2, 4, 5], [0, 1, 2]]) + assert A.is_upper_hessenberg + A = A.T + assert A.is_lower_hessenberg + A[0, -1] = 1 + assert A.is_lower_hessenberg is False + + A = Matrix([[3, 4, 1], [2, 4, 5], [3, 1, 2]]) + assert not A.is_upper_hessenberg + + A = zeros(5, 2) + assert A.is_upper_hessenberg + + +def test_cholesky(): + raises(NonSquareMatrixError, lambda: Matrix((1, 2)).cholesky()) + raises(ValueError, lambda: Matrix(((1, 2), (3, 4))).cholesky()) + raises(ValueError, lambda: Matrix(((5 + I, 0), (0, 1))).cholesky()) + raises(ValueError, lambda: Matrix(((1, 5), (5, 1))).cholesky()) + raises(ValueError, lambda: Matrix(((1, 2), (3, 4))).cholesky(hermitian=False)) + assert Matrix(((5 + I, 0), (0, 1))).cholesky(hermitian=False) == Matrix([ + [sqrt(5 + I), 0], [0, 1]]) + A = Matrix(((1, 5), (5, 1))) + L = A.cholesky(hermitian=False) + assert L == Matrix([[1, 0], [5, 2*sqrt(6)*I]]) + assert L*L.T == A + A = Matrix(((25, 15, -5), (15, 18, 0), (-5, 0, 11))) + L = A.cholesky() + assert L * L.T == A + assert L.is_lower + assert L == Matrix([[5, 0, 0], [3, 3, 0], [-1, 1, 3]]) + A = Matrix(((4, -2*I, 2 + 2*I), (2*I, 2, -1 + I), (2 - 2*I, -1 - I, 11))) + assert A.cholesky().expand() == Matrix(((2, 0, 0), (I, 1, 0), (1 - I, 0, 3))) + + raises(NonSquareMatrixError, lambda: SparseMatrix((1, 2)).cholesky()) + raises(ValueError, lambda: SparseMatrix(((1, 2), (3, 4))).cholesky()) + raises(ValueError, lambda: SparseMatrix(((5 + I, 0), (0, 1))).cholesky()) + raises(ValueError, lambda: SparseMatrix(((1, 5), (5, 1))).cholesky()) + raises(ValueError, lambda: SparseMatrix(((1, 2), (3, 4))).cholesky(hermitian=False)) + assert SparseMatrix(((5 + I, 0), (0, 1))).cholesky(hermitian=False) == Matrix([ + [sqrt(5 + I), 0], [0, 1]]) + A = SparseMatrix(((1, 5), (5, 1))) + L = A.cholesky(hermitian=False) + assert L == Matrix([[1, 0], [5, 2*sqrt(6)*I]]) + assert L*L.T == A + A = SparseMatrix(((25, 15, -5), (15, 18, 0), (-5, 0, 11))) + L = A.cholesky() + assert L * L.T == A + assert L.is_lower + assert L == Matrix([[5, 0, 0], [3, 3, 0], [-1, 1, 3]]) + A = SparseMatrix(((4, -2*I, 2 + 2*I), (2*I, 2, -1 + I), (2 - 2*I, -1 - I, 11))) + assert A.cholesky() == Matrix(((2, 0, 0), (I, 1, 0), (1 - I, 0, 3))) + + +def test_matrix_norm(): + # Vector Tests + # Test columns and symbols + x = Symbol('x', real=True) + v = Matrix([cos(x), sin(x)]) + assert trigsimp(v.norm(2)) == 1 + assert v.norm(10) == Pow(cos(x)**10 + sin(x)**10, Rational(1, 10)) + + # Test Rows + A = Matrix([[5, Rational(3, 2)]]) + assert A.norm() == Pow(25 + Rational(9, 4), S.Half) + assert A.norm(oo) == max(A) + assert A.norm(-oo) == min(A) + + # Matrix Tests + # Intuitive test + A = Matrix([[1, 1], [1, 1]]) + assert A.norm(2) == 2 + assert A.norm(-2) == 0 + assert A.norm('frobenius') == 2 + assert eye(10).norm(2) == eye(10).norm(-2) == 1 + assert A.norm(oo) == 2 + + # Test with Symbols and more complex entries + A = Matrix([[3, y, y], [x, S.Half, -pi]]) + assert (A.norm('fro') + == sqrt(Rational(37, 4) + 2*abs(y)**2 + pi**2 + x**2)) + + # Check non-square + A = Matrix([[1, 2, -3], [4, 5, Rational(13, 2)]]) + assert A.norm(2) == sqrt(Rational(389, 8) + sqrt(78665)/8) + assert A.norm(-2) is S.Zero + assert A.norm('frobenius') == sqrt(389)/2 + + # Test properties of matrix norms + # https://en.wikipedia.org/wiki/Matrix_norm#Definition + # Two matrices + A = Matrix([[1, 2], [3, 4]]) + B = Matrix([[5, 5], [-2, 2]]) + C = Matrix([[0, -I], [I, 0]]) + D = Matrix([[1, 0], [0, -1]]) + L = [A, B, C, D] + alpha = Symbol('alpha', real=True) + + for order in ['fro', 2, -2]: + # Zero Check + assert zeros(3).norm(order) is S.Zero + # Check Triangle Inequality for all Pairs of Matrices + for X in L: + for Y in L: + dif = (X.norm(order) + Y.norm(order) - + (X + Y).norm(order)) + assert (dif >= 0) + # Scalar multiplication linearity + for M in [A, B, C, D]: + dif = simplify((alpha*M).norm(order) - + abs(alpha) * M.norm(order)) + assert dif == 0 + + # Test Properties of Vector Norms + # https://en.wikipedia.org/wiki/Vector_norm + # Two column vectors + a = Matrix([1, 1 - 1*I, -3]) + b = Matrix([S.Half, 1*I, 1]) + c = Matrix([-1, -1, -1]) + d = Matrix([3, 2, I]) + e = Matrix([Integer(1e2), Rational(1, 1e2), 1]) + L = [a, b, c, d, e] + alpha = Symbol('alpha', real=True) + + for order in [1, 2, -1, -2, S.Infinity, S.NegativeInfinity, pi]: + # Zero Check + if order > 0: + assert Matrix([0, 0, 0]).norm(order) is S.Zero + # Triangle inequality on all pairs + if order >= 1: # Triangle InEq holds only for these norms + for X in L: + for Y in L: + dif = (X.norm(order) + Y.norm(order) - + (X + Y).norm(order)) + assert simplify(dif >= 0) is S.true + # Linear to scalar multiplication + if order in [1, 2, -1, -2, S.Infinity, S.NegativeInfinity]: + for X in L: + dif = simplify((alpha*X).norm(order) - + (abs(alpha) * X.norm(order))) + assert dif == 0 + + # ord=1 + M = Matrix(3, 3, [1, 3, 0, -2, -1, 0, 3, 9, 6]) + assert M.norm(1) == 13 + + +def test_condition_number(): + x = Symbol('x', real=True) + A = eye(3) + A[0, 0] = 10 + A[2, 2] = Rational(1, 10) + assert A.condition_number() == 100 + + A[1, 1] = x + assert A.condition_number() == Max(10, Abs(x)) / Min(Rational(1, 10), Abs(x)) + + M = Matrix([[cos(x), sin(x)], [-sin(x), cos(x)]]) + Mc = M.condition_number() + assert all(Float(1.).epsilon_eq(Mc.subs(x, val).evalf()) for val in + [Rational(1, 5), S.Half, Rational(1, 10), pi/2, pi, pi*Rational(7, 4) ]) + + #issue 10782 + assert Matrix([]).condition_number() == 0 + + +def test_equality(): + A = Matrix(((1, 2, 3), (4, 5, 6), (7, 8, 9))) + B = Matrix(((9, 8, 7), (6, 5, 4), (3, 2, 1))) + assert A == A[:, :] + assert not A != A[:, :] + assert not A == B + assert A != B + assert A != 10 + assert not A == 10 + + # A SparseMatrix can be equal to a Matrix + C = SparseMatrix(((1, 0, 0), (0, 1, 0), (0, 0, 1))) + D = Matrix(((1, 0, 0), (0, 1, 0), (0, 0, 1))) + assert C == D + assert not C != D + + +def test_normalized(): + assert Matrix([3, 4]).normalized() == \ + Matrix([Rational(3, 5), Rational(4, 5)]) + + # Zero vector trivial cases + assert Matrix([0, 0, 0]).normalized() == Matrix([0, 0, 0]) + + # Machine precision error truncation trivial cases + m = Matrix([0,0,1.e-100]) + assert m.normalized( + iszerofunc=lambda x: x.evalf(n=10, chop=True).is_zero + ) == Matrix([0, 0, 0]) + + +def test_print_nonzero(): + assert capture(lambda: eye(3).print_nonzero()) == \ + '[X ]\n[ X ]\n[ X]\n' + assert capture(lambda: eye(3).print_nonzero('.')) == \ + '[. ]\n[ . ]\n[ .]\n' + + +def test_zeros_eye(): + assert Matrix.eye(3) == eye(3) + assert Matrix.zeros(3) == zeros(3) + assert ones(3, 4) == Matrix(3, 4, [1]*12) + + i = Matrix([[1, 0], [0, 1]]) + z = Matrix([[0, 0], [0, 0]]) + for cls in all_classes: + m = cls.eye(2) + assert i == m # but m == i will fail if m is immutable + assert i == eye(2, cls=cls) + assert type(m) == cls + m = cls.zeros(2) + assert z == m + assert z == zeros(2, cls=cls) + assert type(m) == cls + + +def test_is_zero(): + assert Matrix().is_zero_matrix + assert Matrix([[0, 0], [0, 0]]).is_zero_matrix + assert zeros(3, 4).is_zero_matrix + assert not eye(3).is_zero_matrix + assert Matrix([[x, 0], [0, 0]]).is_zero_matrix == None + assert SparseMatrix([[x, 0], [0, 0]]).is_zero_matrix == None + assert ImmutableMatrix([[x, 0], [0, 0]]).is_zero_matrix == None + assert ImmutableSparseMatrix([[x, 0], [0, 0]]).is_zero_matrix == None + assert Matrix([[x, 1], [0, 0]]).is_zero_matrix == False + a = Symbol('a', nonzero=True) + assert Matrix([[a, 0], [0, 0]]).is_zero_matrix == False + + +def test_rotation_matrices(): + # This tests the rotation matrices by rotating about an axis and back. + theta = pi/3 + r3_plus = rot_axis3(theta) + r3_minus = rot_axis3(-theta) + r2_plus = rot_axis2(theta) + r2_minus = rot_axis2(-theta) + r1_plus = rot_axis1(theta) + r1_minus = rot_axis1(-theta) + assert r3_minus*r3_plus*eye(3) == eye(3) + assert r2_minus*r2_plus*eye(3) == eye(3) + assert r1_minus*r1_plus*eye(3) == eye(3) + + # Check the correctness of the trace of the rotation matrix + assert r1_plus.trace() == 1 + 2*cos(theta) + assert r2_plus.trace() == 1 + 2*cos(theta) + assert r3_plus.trace() == 1 + 2*cos(theta) + + # Check that a rotation with zero angle doesn't change anything. + assert rot_axis1(0) == eye(3) + assert rot_axis2(0) == eye(3) + assert rot_axis3(0) == eye(3) + + # Check left-hand convention + # see Issue #24529 + q1 = Quaternion.from_axis_angle([1, 0, 0], pi / 2) + q2 = Quaternion.from_axis_angle([0, 1, 0], pi / 2) + q3 = Quaternion.from_axis_angle([0, 0, 1], pi / 2) + assert rot_axis1(- pi / 2) == q1.to_rotation_matrix() + assert rot_axis2(- pi / 2) == q2.to_rotation_matrix() + assert rot_axis3(- pi / 2) == q3.to_rotation_matrix() + # Check right-hand convention + assert rot_ccw_axis1(+ pi / 2) == q1.to_rotation_matrix() + assert rot_ccw_axis2(+ pi / 2) == q2.to_rotation_matrix() + assert rot_ccw_axis3(+ pi / 2) == q3.to_rotation_matrix() + + +def test_DeferredVector(): + assert str(DeferredVector("vector")[4]) == "vector[4]" + assert sympify(DeferredVector("d")) == DeferredVector("d") + raises(IndexError, lambda: DeferredVector("d")[-1]) + assert str(DeferredVector("d")) == "d" + assert repr(DeferredVector("test")) == "DeferredVector('test')" + + +def test_DeferredVector_not_iterable(): + assert not iterable(DeferredVector('X')) + + +def test_DeferredVector_Matrix(): + raises(TypeError, lambda: Matrix(DeferredVector("V"))) + + +def test_GramSchmidt(): + R = Rational + m1 = Matrix(1, 2, [1, 2]) + m2 = Matrix(1, 2, [2, 3]) + assert GramSchmidt([m1, m2]) == \ + [Matrix(1, 2, [1, 2]), Matrix(1, 2, [R(2)/5, R(-1)/5])] + assert GramSchmidt([m1.T, m2.T]) == \ + [Matrix(2, 1, [1, 2]), Matrix(2, 1, [R(2)/5, R(-1)/5])] + # from wikipedia + assert GramSchmidt([Matrix([3, 1]), Matrix([2, 2])], True) == [ + Matrix([3*sqrt(10)/10, sqrt(10)/10]), + Matrix([-sqrt(10)/10, 3*sqrt(10)/10])] + # https://github.com/sympy/sympy/issues/9488 + L = FiniteSet(Matrix([1])) + assert GramSchmidt(L) == [Matrix([[1]])] + + +def test_casoratian(): + assert casoratian([1, 2, 3, 4], 1) == 0 + assert casoratian([1, 2, 3, 4], 1, zero=False) == 0 + + +def test_zero_dimension_multiply(): + assert (Matrix()*zeros(0, 3)).shape == (0, 3) + assert zeros(3, 0)*zeros(0, 3) == zeros(3, 3) + assert zeros(0, 3)*zeros(3, 0) == Matrix() + + +def test_slice_issue_2884(): + m = Matrix(2, 2, range(4)) + assert m[1, :] == Matrix([[2, 3]]) + assert m[-1, :] == Matrix([[2, 3]]) + assert m[:, 1] == Matrix([[1, 3]]).T + assert m[:, -1] == Matrix([[1, 3]]).T + raises(IndexError, lambda: m[2, :]) + raises(IndexError, lambda: m[2, 2]) + + +def test_slice_issue_3401(): + assert zeros(0, 3)[:, -1].shape == (0, 1) + assert zeros(3, 0)[0, :] == Matrix(1, 0, []) + + +def test_copyin(): + s = zeros(3, 3) + s[3] = 1 + assert s[:, 0] == Matrix([0, 1, 0]) + assert s[3] == 1 + assert s[3: 4] == [1] + s[1, 1] = 42 + assert s[1, 1] == 42 + assert s[1, 1:] == Matrix([[42, 0]]) + s[1, 1:] = Matrix([[5, 6]]) + assert s[1, :] == Matrix([[1, 5, 6]]) + s[1, 1:] = [[42, 43]] + assert s[1, :] == Matrix([[1, 42, 43]]) + s[0, 0] = 17 + assert s[:, :1] == Matrix([17, 1, 0]) + s[0, 0] = [1, 1, 1] + assert s[:, 0] == Matrix([1, 1, 1]) + s[0, 0] = Matrix([1, 1, 1]) + assert s[:, 0] == Matrix([1, 1, 1]) + s[0, 0] = SparseMatrix([1, 1, 1]) + assert s[:, 0] == Matrix([1, 1, 1]) + + +def test_invertible_check(): + # sometimes a singular matrix will have a pivot vector shorter than + # the number of rows in a matrix... + assert Matrix([[1, 2], [1, 2]]).rref() == (Matrix([[1, 2], [0, 0]]), (0,)) + raises(ValueError, lambda: Matrix([[1, 2], [1, 2]]).inv()) + m = Matrix([ + [-1, -1, 0], + [ x, 1, 1], + [ 1, x, -1], + ]) + assert len(m.rref()[1]) != m.rows + # in addition, unless simplify=True in the call to rref, the identity + # matrix will be returned even though m is not invertible + assert m.rref()[0] != eye(3) + assert m.rref(simplify=signsimp)[0] != eye(3) + raises(ValueError, lambda: m.inv(method="ADJ")) + raises(ValueError, lambda: m.inv(method="GE")) + raises(ValueError, lambda: m.inv(method="LU")) + + +def test_issue_3959(): + x, y = symbols('x, y') + e = x*y + assert e.subs(x, Matrix([3, 5, 3])) == Matrix([3, 5, 3])*y + + +def test_issue_5964(): + assert str(Matrix([[1, 2], [3, 4]])) == 'Matrix([[1, 2], [3, 4]])' + + +def test_issue_7604(): + x, y = symbols("x y") + assert sstr(Matrix([[x, 2*y], [y**2, x + 3]])) == \ + 'Matrix([\n[ x, 2*y],\n[y**2, x + 3]])' + + +def test_is_Identity(): + assert eye(3).is_Identity + assert eye(3).as_immutable().is_Identity + assert not zeros(3).is_Identity + assert not ones(3).is_Identity + # issue 6242 + assert not Matrix([[1, 0, 0]]).is_Identity + # issue 8854 + assert SparseMatrix(3,3, {(0,0):1, (1,1):1, (2,2):1}).is_Identity + assert not SparseMatrix(2,3, range(6)).is_Identity + assert not SparseMatrix(3,3, {(0,0):1, (1,1):1}).is_Identity + assert not SparseMatrix(3,3, {(0,0):1, (1,1):1, (2,2):1, (0,1):2, (0,2):3}).is_Identity + + +def test_dot(): + assert ones(1, 3).dot(ones(3, 1)) == 3 + assert ones(1, 3).dot([1, 1, 1]) == 3 + assert Matrix([1, 2, 3]).dot(Matrix([1, 2, 3])) == 14 + assert Matrix([1, 2, 3*I]).dot(Matrix([I, 2, 3*I])) == -5 + I + assert Matrix([1, 2, 3*I]).dot(Matrix([I, 2, 3*I]), hermitian=False) == -5 + I + assert Matrix([1, 2, 3*I]).dot(Matrix([I, 2, 3*I]), hermitian=True) == 13 + I + assert Matrix([1, 2, 3*I]).dot(Matrix([I, 2, 3*I]), hermitian=True, conjugate_convention="physics") == 13 - I + assert Matrix([1, 2, 3*I]).dot(Matrix([4, 5*I, 6]), hermitian=True, conjugate_convention="right") == 4 + 8*I + assert Matrix([1, 2, 3*I]).dot(Matrix([4, 5*I, 6]), hermitian=True, conjugate_convention="left") == 4 - 8*I + assert Matrix([I, 2*I]).dot(Matrix([I, 2*I]), hermitian=False, conjugate_convention="left") == -5 + assert Matrix([I, 2*I]).dot(Matrix([I, 2*I]), conjugate_convention="left") == 5 + raises(ValueError, lambda: Matrix([1, 2]).dot(Matrix([3, 4]), hermitian=True, conjugate_convention="test")) + + +def test_dual(): + B_x, B_y, B_z, E_x, E_y, E_z = symbols( + 'B_x B_y B_z E_x E_y E_z', real=True) + F = Matrix(( + ( 0, E_x, E_y, E_z), + (-E_x, 0, B_z, -B_y), + (-E_y, -B_z, 0, B_x), + (-E_z, B_y, -B_x, 0) + )) + Fd = Matrix(( + ( 0, -B_x, -B_y, -B_z), + (B_x, 0, E_z, -E_y), + (B_y, -E_z, 0, E_x), + (B_z, E_y, -E_x, 0) + )) + assert F.dual().equals(Fd) + assert eye(3).dual().equals(zeros(3)) + assert F.dual().dual().equals(-F) + + +def test_anti_symmetric(): + assert Matrix([1, 2]).is_anti_symmetric() is False + m = Matrix(3, 3, [0, x**2 + 2*x + 1, y, -(x + 1)**2, 0, x*y, -y, -x*y, 0]) + assert m.is_anti_symmetric() is True + assert m.is_anti_symmetric(simplify=False) is None + assert m.is_anti_symmetric(simplify=lambda x: x) is None + + # tweak to fail + m[2, 1] = -m[2, 1] + assert m.is_anti_symmetric() is None + # untweak + m[2, 1] = -m[2, 1] + + m = m.expand() + assert m.is_anti_symmetric(simplify=False) is True + m[0, 0] = 1 + assert m.is_anti_symmetric() is False + + +def test_normalize_sort_diogonalization(): + A = Matrix(((1, 2), (2, 1))) + P, Q = A.diagonalize(normalize=True) + assert P*P.T == P.T*P == eye(P.cols) + P, Q = A.diagonalize(normalize=True, sort=True) + assert P*P.T == P.T*P == eye(P.cols) + assert P*Q*P.inv() == A + + +def test_issue_5321(): + raises(ValueError, lambda: Matrix([[1, 2, 3], Matrix(0, 1, [])])) + + +def test_issue_5320(): + assert Matrix.hstack(eye(2), 2*eye(2)) == Matrix([ + [1, 0, 2, 0], + [0, 1, 0, 2] + ]) + assert Matrix.vstack(eye(2), 2*eye(2)) == Matrix([ + [1, 0], + [0, 1], + [2, 0], + [0, 2] + ]) + cls = SparseMatrix + assert cls.hstack(cls(eye(2)), cls(2*eye(2))) == Matrix([ + [1, 0, 2, 0], + [0, 1, 0, 2] + ]) + + +def test_issue_11944(): + A = Matrix([[1]]) + AIm = sympify(A) + assert Matrix.hstack(AIm, A) == Matrix([[1, 1]]) + assert Matrix.vstack(AIm, A) == Matrix([[1], [1]]) + + +def test_cross(): + a = [1, 2, 3] + b = [3, 4, 5] + col = Matrix([-2, 4, -2]) + row = col.T + + def test(M, ans): + assert ans == M + assert type(M) == cls + for cls in all_classes: + A = cls(a) + B = cls(b) + test(A.cross(B), col) + test(A.cross(B.T), col) + test(A.T.cross(B.T), row) + test(A.T.cross(B), row) + raises(ShapeError, lambda: + Matrix(1, 2, [1, 1]).cross(Matrix(1, 2, [1, 1]))) + + +def test_hat_vee(): + v1 = Matrix([x, y, z]) + v2 = Matrix([a, b, c]) + assert v1.hat() * v2 == v1.cross(v2) + assert v1.hat().is_anti_symmetric() + assert v1.hat().vee() == v1 + + +def test_hash(): + for cls in immutable_classes: + s = {cls.eye(1), cls.eye(1)} + assert len(s) == 1 and s.pop() == cls.eye(1) + # issue 3979 + for cls in mutable_classes: + assert not isinstance(cls.eye(1), Hashable) + + +def test_adjoint(): + dat = [[0, I], [1, 0]] + ans = Matrix([[0, 1], [-I, 0]]) + for cls in all_classes: + assert ans == cls(dat).adjoint() + + +def test_atoms(): + m = Matrix([[1, 2], [x, 1 - 1/x]]) + assert m.atoms() == {S.One,S(2),S.NegativeOne, x} + assert m.atoms(Symbol) == {x} + + +def test_pinv(): + # Pseudoinverse of an invertible matrix is the inverse. + A1 = Matrix([[a, b], [c, d]]) + assert simplify(A1.pinv(method="RD")) == simplify(A1.inv()) + + # Test the four properties of the pseudoinverse for various matrices. + As = [Matrix([[13, 104], [2212, 3], [-3, 5]]), + Matrix([[1, 7, 9], [11, 17, 19]]), + Matrix([a, b])] + + for A in As: + A_pinv = A.pinv(method="RD") + AAp = A * A_pinv + ApA = A_pinv * A + assert simplify(AAp * A) == A + assert simplify(ApA * A_pinv) == A_pinv + assert AAp.H == AAp + assert ApA.H == ApA + + # XXX Pinv with diagonalization makes expression too complicated. + for A in As: + A_pinv = simplify(A.pinv(method="ED")) + AAp = A * A_pinv + ApA = A_pinv * A + assert simplify(AAp * A) == A + assert simplify(ApA * A_pinv) == A_pinv + assert AAp.H == AAp + assert ApA.H == ApA + + # XXX Computing pinv using diagonalization makes an expression that + # is too complicated to simplify. + # A1 = Matrix([[a, b], [c, d]]) + # assert simplify(A1.pinv(method="ED")) == simplify(A1.inv()) + # so this is tested numerically at a fixed random point + + from sympy.core.numbers import comp + q = A1.pinv(method="ED") + w = A1.inv() + reps = {a: -73633, b: 11362, c: 55486, d: 62570} + assert all( + comp(i.n(), j.n()) + for i, j in zip(q.subs(reps), w.subs(reps)) + ) + + +@slow +def test_pinv_rank_deficient_when_diagonalization_fails(): + # Test the four properties of the pseudoinverse for matrices when + # diagonalization of A.H*A fails. + As = [ + Matrix([ + [61, 89, 55, 20, 71, 0], + [62, 96, 85, 85, 16, 0], + [69, 56, 17, 4, 54, 0], + [10, 54, 91, 41, 71, 0], + [ 7, 30, 10, 48, 90, 0], + [0, 0, 0, 0, 0, 0]]) + ] + for A in As: + A_pinv = A.pinv(method="ED") + AAp = A * A_pinv + ApA = A_pinv * A + assert AAp.H == AAp + + # Here ApA.H and ApA are equivalent expressions but they are very + # complicated expressions involving RootOfs. Using simplify would be + # too slow and so would evalf so we substitute approximate values for + # the RootOfs and then evalf which is less accurate but good enough to + # confirm that these two matrices are equivalent. + # + # assert ApA.H == ApA # <--- would fail (structural equality) + # assert simplify(ApA.H - ApA).is_zero_matrix # <--- too slow + # (ApA.H - ApA).evalf() # <--- too slow + + def allclose(M1, M2): + rootofs = M1.atoms(RootOf) + rootofs_approx = {r: r.evalf() for r in rootofs} + diff_approx = (M1 - M2).xreplace(rootofs_approx).evalf() + return all(abs(e) < 1e-10 for e in diff_approx) + + assert allclose(ApA.H, ApA) + + +def test_issue_7201(): + assert ones(0, 1) + ones(0, 1) == Matrix(0, 1, []) + assert ones(1, 0) + ones(1, 0) == Matrix(1, 0, []) + + +def test_free_symbols(): + for M in ImmutableMatrix, ImmutableSparseMatrix, Matrix, SparseMatrix: + assert M([[x], [0]]).free_symbols == {x} + + +def test_from_ndarray(): + """See issue 7465.""" + try: + from numpy import array + except ImportError: + skip('NumPy must be available to test creating matrices from ndarrays') + + assert Matrix(array([1, 2, 3])) == Matrix([1, 2, 3]) + assert Matrix(array([[1, 2, 3]])) == Matrix([[1, 2, 3]]) + assert Matrix(array([[1, 2, 3], [4, 5, 6]])) == \ + Matrix([[1, 2, 3], [4, 5, 6]]) + assert Matrix(array([x, y, z])) == Matrix([x, y, z]) + raises(NotImplementedError, + lambda: Matrix(array([[[1, 2], [3, 4]], [[5, 6], [7, 8]]]))) + assert Matrix([array([1, 2]), array([3, 4])]) == Matrix([[1, 2], [3, 4]]) + assert Matrix([array([1, 2]), [3, 4]]) == Matrix([[1, 2], [3, 4]]) + assert Matrix([array([]), array([])]) == Matrix(2, 0, []) != Matrix([]) + + +def test_17522_numpy(): + from sympy.matrices.common import _matrixify + try: + from numpy import array, matrix + except ImportError: + skip('NumPy must be available to test indexing matrixified NumPy ndarrays and matrices') + + m = _matrixify(array([[1, 2], [3, 4]])) + assert m[3] == 4 + assert list(m) == [1, 2, 3, 4] + + with ignore_warnings(PendingDeprecationWarning): + m = _matrixify(matrix([[1, 2], [3, 4]])) + assert m[3] == 4 + assert list(m) == [1, 2, 3, 4] + + +def test_17522_mpmath(): + from sympy.matrices.common import _matrixify + try: + from mpmath import matrix + except ImportError: + skip('mpmath must be available to test indexing matrixified mpmath matrices') + + m = _matrixify(matrix([[1, 2], [3, 4]])) + assert m[3] == 4.0 + assert list(m) == [1.0, 2.0, 3.0, 4.0] + + +def test_17522_scipy(): + from sympy.matrices.common import _matrixify + try: + from scipy.sparse import csr_matrix + except ImportError: + skip('SciPy must be available to test indexing matrixified SciPy sparse matrices') + + m = _matrixify(csr_matrix([[1, 2], [3, 4]])) + assert m[3] == 4 + assert list(m) == [1, 2, 3, 4] + + +def test_hermitian(): + a = Matrix([[1, I], [-I, 1]]) + assert a.is_hermitian + a[0, 0] = 2*I + assert a.is_hermitian is False + a[0, 0] = x + assert a.is_hermitian is None + a[0, 1] = a[1, 0]*I + assert a.is_hermitian is False + + +def test_issue_9457_9467_9876(): + # for row_del(index) + M = Matrix([[1, 2, 3], [2, 3, 4], [3, 4, 5]]) + M.row_del(1) + assert M == Matrix([[1, 2, 3], [3, 4, 5]]) + N = Matrix([[1, 2, 3], [2, 3, 4], [3, 4, 5]]) + N.row_del(-2) + assert N == Matrix([[1, 2, 3], [3, 4, 5]]) + O = Matrix([[1, 2, 3], [5, 6, 7], [9, 10, 11]]) + O.row_del(-1) + assert O == Matrix([[1, 2, 3], [5, 6, 7]]) + P = Matrix([[1, 2, 3], [2, 3, 4], [3, 4, 5]]) + raises(IndexError, lambda: P.row_del(10)) + Q = Matrix([[1, 2, 3], [2, 3, 4], [3, 4, 5]]) + raises(IndexError, lambda: Q.row_del(-10)) + + # for col_del(index) + M = Matrix([[1, 2, 3], [2, 3, 4], [3, 4, 5]]) + M.col_del(1) + assert M == Matrix([[1, 3], [2, 4], [3, 5]]) + N = Matrix([[1, 2, 3], [2, 3, 4], [3, 4, 5]]) + N.col_del(-2) + assert N == Matrix([[1, 3], [2, 4], [3, 5]]) + P = Matrix([[1, 2, 3], [2, 3, 4], [3, 4, 5]]) + raises(IndexError, lambda: P.col_del(10)) + Q = Matrix([[1, 2, 3], [2, 3, 4], [3, 4, 5]]) + raises(IndexError, lambda: Q.col_del(-10)) + + +def test_issue_9422(): + x, y = symbols('x y', commutative=False) + a, b = symbols('a b') + M = eye(2) + M1 = Matrix(2, 2, [x, y, y, z]) + assert y*x*M != x*y*M + assert b*a*M == a*b*M + assert x*M1 != M1*x + assert a*M1 == M1*a + assert y*x*M == Matrix([[y*x, 0], [0, y*x]]) + + +def test_issue_10770(): + M = Matrix([]) + a = ['col_insert', 'row_join'], Matrix([9, 6, 3]) + b = ['row_insert', 'col_join'], a[1].T + c = ['row_insert', 'col_insert'], Matrix([[1, 2], [3, 4]]) + for ops, m in (a, b, c): + for op in ops: + f = getattr(M, op) + new = f(m) if 'join' in op else f(42, m) + assert new == m and id(new) != id(m) + + +def test_issue_10658(): + A = Matrix([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) + assert A.extract([0, 1, 2], [True, True, False]) == \ + Matrix([[1, 2], [4, 5], [7, 8]]) + assert A.extract([0, 1, 2], [True, False, False]) == Matrix([[1], [4], [7]]) + assert A.extract([True, False, False], [0, 1, 2]) == Matrix([[1, 2, 3]]) + assert A.extract([True, False, True], [0, 1, 2]) == \ + Matrix([[1, 2, 3], [7, 8, 9]]) + assert A.extract([0, 1, 2], [False, False, False]) == Matrix(3, 0, []) + assert A.extract([False, False, False], [0, 1, 2]) == Matrix(0, 3, []) + assert A.extract([True, False, True], [False, True, False]) == \ + Matrix([[2], [8]]) + + +def test_opportunistic_simplification(): + # this test relates to issue #10718, #9480, #11434 + + # issue #9480 + m = Matrix([[-5 + 5*sqrt(2), -5], [-5*sqrt(2)/2 + 5, -5*sqrt(2)/2]]) + assert m.rank() == 1 + + # issue #10781 + m = Matrix([[3+3*sqrt(3)*I, -9],[4,-3+3*sqrt(3)*I]]) + assert simplify(m.rref()[0] - Matrix([[1, -9/(3 + 3*sqrt(3)*I)], [0, 0]])) == zeros(2, 2) + + # issue #11434 + ax,ay,bx,by,cx,cy,dx,dy,ex,ey,t0,t1 = symbols('a_x a_y b_x b_y c_x c_y d_x d_y e_x e_y t_0 t_1') + m = Matrix([[ax,ay,ax*t0,ay*t0,0],[bx,by,bx*t0,by*t0,0],[cx,cy,cx*t0,cy*t0,1],[dx,dy,dx*t0,dy*t0,1],[ex,ey,2*ex*t1-ex*t0,2*ey*t1-ey*t0,0]]) + assert m.rank() == 4 + + +def test_partial_pivoting(): + # example from https://en.wikipedia.org/wiki/Pivot_element + # partial pivoting with back substitution gives a perfect result + # naive pivoting give an error ~1e-13, so anything better than + # 1e-15 is good + mm=Matrix([[0.003, 59.14, 59.17], [5.291, -6.13, 46.78]]) + assert (mm.rref()[0] - Matrix([[1.0, 0, 10.0], + [ 0, 1.0, 1.0]])).norm() < 1e-15 + + # issue #11549 + m_mixed = Matrix([[6e-17, 1.0, 4], + [ -1.0, 0, 8], + [ 0, 0, 1]]) + m_float = Matrix([[6e-17, 1.0, 4.], + [ -1.0, 0., 8.], + [ 0., 0., 1.]]) + m_inv = Matrix([[ 0, -1.0, 8.0], + [1.0, 6.0e-17, -4.0], + [ 0, 0, 1]]) + # this example is numerically unstable and involves a matrix with a norm >= 8, + # this comparing the difference of the results with 1e-15 is numerically sound. + assert (m_mixed.inv() - m_inv).norm() < 1e-15 + assert (m_float.inv() - m_inv).norm() < 1e-15 + + +def test_iszero_substitution(): + """ When doing numerical computations, all elements that pass + the iszerofunc test should be set to numerically zero if they + aren't already. """ + + # Matrix from issue #9060 + m = Matrix([[0.9, -0.1, -0.2, 0],[-0.8, 0.9, -0.4, 0],[-0.1, -0.8, 0.6, 0]]) + m_rref = m.rref(iszerofunc=lambda x: abs(x)<6e-15)[0] + m_correct = Matrix([[1.0, 0, -0.301369863013699, 0],[ 0, 1.0, -0.712328767123288, 0],[ 0, 0, 0, 0]]) + m_diff = m_rref - m_correct + assert m_diff.norm() < 1e-15 + # if a zero-substitution wasn't made, this entry will be -1.11022302462516e-16 + assert m_rref[2,2] == 0 + + +def test_issue_11238(): + from sympy.geometry.point import Point + xx = 8*tan(pi*Rational(13, 45))/(tan(pi*Rational(13, 45)) + sqrt(3)) + yy = (-8*sqrt(3)*tan(pi*Rational(13, 45))**2 + 24*tan(pi*Rational(13, 45)))/(-3 + tan(pi*Rational(13, 45))**2) + p1 = Point(0, 0) + p2 = Point(1, -sqrt(3)) + p0 = Point(xx,yy) + m1 = Matrix([p1 - simplify(p0), p2 - simplify(p0)]) + m2 = Matrix([p1 - p0, p2 - p0]) + m3 = Matrix([simplify(p1 - p0), simplify(p2 - p0)]) + + # This system has expressions which are zero and + # cannot be easily proved to be such, so without + # numerical testing, these assertions will fail. + Z = lambda x: abs(x.n()) < 1e-20 + assert m1.rank(simplify=True, iszerofunc=Z) == 1 + assert m2.rank(simplify=True, iszerofunc=Z) == 1 + assert m3.rank(simplify=True, iszerofunc=Z) == 1 + + +def test_as_real_imag(): + m1 = Matrix(2,2,[1,2,3,4]) + m2 = m1*S.ImaginaryUnit + m3 = m1 + m2 + + for kls in all_classes: + a,b = kls(m3).as_real_imag() + assert list(a) == list(m1) + assert list(b) == list(m1) + + +def test_deprecated(): + # Maintain tests for deprecated functions. We must capture + # the deprecation warnings. When the deprecated functionality is + # removed, the corresponding tests should be removed. + + m = Matrix(3, 3, [0, 1, 0, -4, 4, 0, -2, 1, 2]) + P, Jcells = m.jordan_cells() + assert Jcells[1] == Matrix(1, 1, [2]) + assert Jcells[0] == Matrix(2, 2, [2, 1, 0, 2]) + + +def test_issue_14489(): + from sympy.core.mod import Mod + A = Matrix([-1, 1, 2]) + B = Matrix([10, 20, -15]) + + assert Mod(A, 3) == Matrix([2, 1, 2]) + assert Mod(B, 4) == Matrix([2, 0, 1]) + + +def test_issue_14943(): + # Test that __array__ accepts the optional dtype argument + try: + from numpy import array + except ImportError: + skip('NumPy must be available to test creating matrices from ndarrays') + + M = Matrix([[1,2], [3,4]]) + assert array(M, dtype=float).dtype.name == 'float64' + + +def test_case_6913(): + m = MatrixSymbol('m', 1, 1) + a = Symbol("a") + a = m[0, 0]>0 + assert str(a) == 'm[0, 0] > 0' + + +def test_issue_11948(): + A = MatrixSymbol('A', 3, 3) + a = Wild('a') + assert A.match(a) == {a: A} + + +def test_gramschmidt_conjugate_dot(): + vecs = [Matrix([1, I]), Matrix([1, -I])] + assert Matrix.orthogonalize(*vecs) == \ + [Matrix([[1], [I]]), Matrix([[1], [-I]])] + + vecs = [Matrix([1, I, 0]), Matrix([I, 0, -I])] + assert Matrix.orthogonalize(*vecs) == \ + [Matrix([[1], [I], [0]]), Matrix([[I/2], [S(1)/2], [-I]])] + + mat = Matrix([[1, I], [1, -I]]) + Q, R = mat.QRdecomposition() + assert Q * Q.H == Matrix.eye(2) + + +def test_issue_8207(): + a = Matrix(MatrixSymbol('a', 3, 1)) + b = Matrix(MatrixSymbol('b', 3, 1)) + c = a.dot(b) + d = diff(c, a[0, 0]) + e = diff(d, a[0, 0]) + assert d == b[0, 0] + assert e == 0 + + +def test_func(): + from sympy.simplify.simplify import nthroot + + A = Matrix([[1, 2],[0, 3]]) + assert A.analytic_func(sin(x*t), x) == Matrix([[sin(t), sin(3*t) - sin(t)], [0, sin(3*t)]]) + + A = Matrix([[2, 1],[1, 2]]) + assert (pi * A / 6).analytic_func(cos(x), x) == Matrix([[sqrt(3)/4, -sqrt(3)/4], [-sqrt(3)/4, sqrt(3)/4]]) + + + raises(ValueError, lambda : zeros(5).analytic_func(log(x), x)) + raises(ValueError, lambda : (A*x).analytic_func(log(x), x)) + + A = Matrix([[0, -1, -2, 3], [0, -1, -2, 3], [0, 1, 0, -1], [0, 0, -1, 1]]) + assert A.analytic_func(exp(x), x) == A.exp() + raises(ValueError, lambda : A.analytic_func(sqrt(x), x)) + + A = Matrix([[41, 12],[12, 34]]) + assert simplify(A.analytic_func(sqrt(x), x)**2) == A + + A = Matrix([[3, -12, 4], [-1, 0, -2], [-1, 5, -1]]) + assert simplify(A.analytic_func(nthroot(x, 3), x)**3) == A + + A = Matrix([[2, 0, 0, 0], [1, 2, 0, 0], [0, 1, 3, 0], [0, 0, 1, 3]]) + assert A.analytic_func(exp(x), x) == A.exp() + + A = Matrix([[0, 2, 1, 6], [0, 0, 1, 2], [0, 0, 0, 3], [0, 0, 0, 0]]) + assert A.analytic_func(exp(x*t), x) == expand(simplify((A*t).exp())) + + +@skip_under_pyodide("Cannot create threads under pyodide.") +def test_issue_19809(): + + def f(): + assert _dotprodsimp_state.state == None + m = Matrix([[1]]) + m = m * m + return True + + with dotprodsimp(True): + with concurrent.futures.ThreadPoolExecutor() as executor: + future = executor.submit(f) + assert future.result() + + +def test_issue_23276(): + M = Matrix([x, y]) + assert integrate(M, (x, 0, 1), (y, 0, 1)) == Matrix([ + [S.Half], + [S.Half]]) + + +def test_issue_27225(): + # https://github.com/sympy/sympy/issues/27225 + raises(TypeError, lambda : floor(Matrix([1, 1, 0]))) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/test_normalforms.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/test_normalforms.py new file mode 100644 index 0000000000000000000000000000000000000000..47ee52d73539f7fb79295443e1cf7e0a49e30a5e --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/test_normalforms.py @@ -0,0 +1,111 @@ +from sympy.testing.pytest import warns_deprecated_sympy + +from sympy.core.symbol import Symbol +from sympy.polys.polytools import Poly +from sympy.matrices import Matrix, randMatrix +from sympy.matrices.normalforms import ( + invariant_factors, + smith_normal_form, + smith_normal_decomp, + hermite_normal_form, + is_smith_normal_form, +) +from sympy.polys.domains import ZZ, QQ +from sympy.core.numbers import Integer + +import random + + +def test_smith_normal(): + m = Matrix([[12,6,4,8],[3,9,6,12],[2,16,14,28],[20,10,10,20]]) + smf = Matrix([[1, 0, 0, 0], [0, 10, 0, 0], [0, 0, 30, 0], [0, 0, 0, 0]]) + assert smith_normal_form(m) == smf + + a, s, t = smith_normal_decomp(m) + assert a == s * m * t + + x = Symbol('x') + with warns_deprecated_sympy(): + m = Matrix([[Poly(x-1), Poly(1, x),Poly(-1,x)], + [0, Poly(x), Poly(-1,x)], + [Poly(0,x),Poly(-1,x),Poly(x)]]) + invs = 1, x - 1, x**2 - 1 + assert invariant_factors(m, domain=QQ[x]) == invs + + m = Matrix([[2, 4]]) + smf = Matrix([[2, 0]]) + assert smith_normal_form(m) == smf + + prng = random.Random(0) + for i in range(6): + for j in range(6): + for _ in range(10 if i*j else 1): + m = randMatrix(i, j, max=5, percent=50, prng=prng) + a, s, t = smith_normal_decomp(m) + assert a == s * m * t + assert is_smith_normal_form(a) + s.inv().to_DM(ZZ) + t.inv().to_DM(ZZ) + + a, s, t = smith_normal_decomp(m, QQ) + assert a == s * m * t + assert is_smith_normal_form(a) + s.inv() + t.inv() + + +def test_smith_normal_deprecated(): + from sympy.polys.solvers import RawMatrix as Matrix + + with warns_deprecated_sympy(): + m = Matrix([[12, 6, 4,8],[3,9,6,12],[2,16,14,28],[20,10,10,20]]) + setattr(m, 'ring', ZZ) + with warns_deprecated_sympy(): + smf = Matrix([[1, 0, 0, 0], [0, 10, 0, 0], [0, 0, 30, 0], [0, 0, 0, 0]]) + assert smith_normal_form(m) == smf + + x = Symbol('x') + with warns_deprecated_sympy(): + m = Matrix([[Poly(x-1), Poly(1, x),Poly(-1,x)], + [0, Poly(x), Poly(-1,x)], + [Poly(0,x),Poly(-1,x),Poly(x)]]) + setattr(m, 'ring', QQ[x]) + invs = (Poly(1, x, domain='QQ'), Poly(x - 1, domain='QQ'), Poly(x**2 - 1, domain='QQ')) + assert invariant_factors(m) == invs + + with warns_deprecated_sympy(): + m = Matrix([[2, 4]]) + setattr(m, 'ring', ZZ) + with warns_deprecated_sympy(): + smf = Matrix([[2, 0]]) + assert smith_normal_form(m) == smf + + +def test_hermite_normal(): + m = Matrix([[2, 7, 17, 29, 41], [3, 11, 19, 31, 43], [5, 13, 23, 37, 47]]) + hnf = Matrix([[1, 0, 0], [0, 2, 1], [0, 0, 1]]) + assert hermite_normal_form(m) == hnf + + tr_hnf = Matrix([[37, 0, 19], [222, -6, 113], [48, 0, 25], [0, 2, 1], [0, 0, 1]]) + assert hermite_normal_form(m.transpose()) == tr_hnf + + m = Matrix([[8, 28, 68, 116, 164], [3, 11, 19, 31, 43], [5, 13, 23, 37, 47]]) + hnf = Matrix([[4, 0, 0], [0, 2, 1], [0, 0, 1]]) + assert hermite_normal_form(m) == hnf + assert hermite_normal_form(m, D=8) == hnf + assert hermite_normal_form(m, D=ZZ(8)) == hnf + assert hermite_normal_form(m, D=Integer(8)) == hnf + + m = Matrix([[10, 8, 6, 30, 2], [45, 36, 27, 18, 9], [5, 4, 3, 2, 1]]) + hnf = Matrix([[26, 2], [0, 9], [0, 1]]) + assert hermite_normal_form(m) == hnf + + m = Matrix([[2, 7], [0, 0], [0, 0]]) + hnf = Matrix([[1], [0], [0]]) + assert hermite_normal_form(m) == hnf + + +def test_issue_23410(): + A = Matrix([[1, 12], [0, 8], [0, 5]]) + H = Matrix([[1, 0], [0, 8], [0, 5]]) + assert hermite_normal_form(A) == H diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/test_reductions.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/test_reductions.py new file mode 100644 index 0000000000000000000000000000000000000000..32c98c6f249b1afafc8193f4248dc9493bb803e0 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/test_reductions.py @@ -0,0 +1,351 @@ +from sympy.core.numbers import I +from sympy.core.symbol import symbols +from sympy.testing.pytest import raises +from sympy.matrices import Matrix, zeros, eye +from sympy.core.symbol import Symbol +from sympy.core.numbers import Rational +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.simplify.simplify import simplify +from sympy.abc import x + + +# Matrix tests +def test_row_op(): + e = eye(3) + + raises(ValueError, lambda: e.elementary_row_op("abc")) + raises(ValueError, lambda: e.elementary_row_op()) + raises(ValueError, lambda: e.elementary_row_op('n->kn', row=5, k=5)) + raises(ValueError, lambda: e.elementary_row_op('n->kn', row=-5, k=5)) + raises(ValueError, lambda: e.elementary_row_op('n<->m', row1=1, row2=5)) + raises(ValueError, lambda: e.elementary_row_op('n<->m', row1=5, row2=1)) + raises(ValueError, lambda: e.elementary_row_op('n<->m', row1=-5, row2=1)) + raises(ValueError, lambda: e.elementary_row_op('n<->m', row1=1, row2=-5)) + raises(ValueError, lambda: e.elementary_row_op('n->n+km', row1=1, row2=5, k=5)) + raises(ValueError, lambda: e.elementary_row_op('n->n+km', row1=5, row2=1, k=5)) + raises(ValueError, lambda: e.elementary_row_op('n->n+km', row1=-5, row2=1, k=5)) + raises(ValueError, lambda: e.elementary_row_op('n->n+km', row1=1, row2=-5, k=5)) + raises(ValueError, lambda: e.elementary_row_op('n->n+km', row1=1, row2=1, k=5)) + + # test various ways to set arguments + assert e.elementary_row_op("n->kn", 0, 5) == Matrix([[5, 0, 0], [0, 1, 0], [0, 0, 1]]) + assert e.elementary_row_op("n->kn", 1, 5) == Matrix([[1, 0, 0], [0, 5, 0], [0, 0, 1]]) + assert e.elementary_row_op("n->kn", row=1, k=5) == Matrix([[1, 0, 0], [0, 5, 0], [0, 0, 1]]) + assert e.elementary_row_op("n->kn", row1=1, k=5) == Matrix([[1, 0, 0], [0, 5, 0], [0, 0, 1]]) + assert e.elementary_row_op("n<->m", 0, 1) == Matrix([[0, 1, 0], [1, 0, 0], [0, 0, 1]]) + assert e.elementary_row_op("n<->m", row1=0, row2=1) == Matrix([[0, 1, 0], [1, 0, 0], [0, 0, 1]]) + assert e.elementary_row_op("n<->m", row=0, row2=1) == Matrix([[0, 1, 0], [1, 0, 0], [0, 0, 1]]) + assert e.elementary_row_op("n->n+km", 0, 5, 1) == Matrix([[1, 5, 0], [0, 1, 0], [0, 0, 1]]) + assert e.elementary_row_op("n->n+km", row=0, k=5, row2=1) == Matrix([[1, 5, 0], [0, 1, 0], [0, 0, 1]]) + assert e.elementary_row_op("n->n+km", row1=0, k=5, row2=1) == Matrix([[1, 5, 0], [0, 1, 0], [0, 0, 1]]) + + # make sure the matrix doesn't change size + a = Matrix(2, 3, [0]*6) + assert a.elementary_row_op("n->kn", 1, 5) == Matrix(2, 3, [0]*6) + assert a.elementary_row_op("n<->m", 0, 1) == Matrix(2, 3, [0]*6) + assert a.elementary_row_op("n->n+km", 0, 5, 1) == Matrix(2, 3, [0]*6) + + +def test_col_op(): + e = eye(3) + + raises(ValueError, lambda: e.elementary_col_op("abc")) + raises(ValueError, lambda: e.elementary_col_op()) + raises(ValueError, lambda: e.elementary_col_op('n->kn', col=5, k=5)) + raises(ValueError, lambda: e.elementary_col_op('n->kn', col=-5, k=5)) + raises(ValueError, lambda: e.elementary_col_op('n<->m', col1=1, col2=5)) + raises(ValueError, lambda: e.elementary_col_op('n<->m', col1=5, col2=1)) + raises(ValueError, lambda: e.elementary_col_op('n<->m', col1=-5, col2=1)) + raises(ValueError, lambda: e.elementary_col_op('n<->m', col1=1, col2=-5)) + raises(ValueError, lambda: e.elementary_col_op('n->n+km', col1=1, col2=5, k=5)) + raises(ValueError, lambda: e.elementary_col_op('n->n+km', col1=5, col2=1, k=5)) + raises(ValueError, lambda: e.elementary_col_op('n->n+km', col1=-5, col2=1, k=5)) + raises(ValueError, lambda: e.elementary_col_op('n->n+km', col1=1, col2=-5, k=5)) + raises(ValueError, lambda: e.elementary_col_op('n->n+km', col1=1, col2=1, k=5)) + + # test various ways to set arguments + assert e.elementary_col_op("n->kn", 0, 5) == Matrix([[5, 0, 0], [0, 1, 0], [0, 0, 1]]) + assert e.elementary_col_op("n->kn", 1, 5) == Matrix([[1, 0, 0], [0, 5, 0], [0, 0, 1]]) + assert e.elementary_col_op("n->kn", col=1, k=5) == Matrix([[1, 0, 0], [0, 5, 0], [0, 0, 1]]) + assert e.elementary_col_op("n->kn", col1=1, k=5) == Matrix([[1, 0, 0], [0, 5, 0], [0, 0, 1]]) + assert e.elementary_col_op("n<->m", 0, 1) == Matrix([[0, 1, 0], [1, 0, 0], [0, 0, 1]]) + assert e.elementary_col_op("n<->m", col1=0, col2=1) == Matrix([[0, 1, 0], [1, 0, 0], [0, 0, 1]]) + assert e.elementary_col_op("n<->m", col=0, col2=1) == Matrix([[0, 1, 0], [1, 0, 0], [0, 0, 1]]) + assert e.elementary_col_op("n->n+km", 0, 5, 1) == Matrix([[1, 0, 0], [5, 1, 0], [0, 0, 1]]) + assert e.elementary_col_op("n->n+km", col=0, k=5, col2=1) == Matrix([[1, 0, 0], [5, 1, 0], [0, 0, 1]]) + assert e.elementary_col_op("n->n+km", col1=0, k=5, col2=1) == Matrix([[1, 0, 0], [5, 1, 0], [0, 0, 1]]) + + # make sure the matrix doesn't change size + a = Matrix(2, 3, [0]*6) + assert a.elementary_col_op("n->kn", 1, 5) == Matrix(2, 3, [0]*6) + assert a.elementary_col_op("n<->m", 0, 1) == Matrix(2, 3, [0]*6) + assert a.elementary_col_op("n->n+km", 0, 5, 1) == Matrix(2, 3, [0]*6) + + +def test_is_echelon(): + zro = zeros(3) + ident = eye(3) + + assert zro.is_echelon + assert ident.is_echelon + + a = Matrix(0, 0, []) + assert a.is_echelon + + a = Matrix(2, 3, [3, 2, 1, 0, 0, 6]) + assert a.is_echelon + + a = Matrix(2, 3, [0, 0, 6, 3, 2, 1]) + assert not a.is_echelon + + x = Symbol('x') + a = Matrix(3, 1, [x, 0, 0]) + assert a.is_echelon + + a = Matrix(3, 1, [x, x, 0]) + assert not a.is_echelon + + a = Matrix(3, 3, [0, 0, 0, 1, 2, 3, 0, 0, 0]) + assert not a.is_echelon + + +def test_echelon_form(): + # echelon form is not unique, but the result + # must be row-equivalent to the original matrix + # and it must be in echelon form. + + a = zeros(3) + e = eye(3) + + # we can assume the zero matrix and the identity matrix shouldn't change + assert a.echelon_form() == a + assert e.echelon_form() == e + + a = Matrix(0, 0, []) + assert a.echelon_form() == a + + a = Matrix(1, 1, [5]) + assert a.echelon_form() == a + + # now we get to the real tests + + def verify_row_null_space(mat, rows, nulls): + for v in nulls: + assert all(t.is_zero for t in a_echelon*v) + for v in rows: + if not all(t.is_zero for t in v): + assert not all(t.is_zero for t in a_echelon*v.transpose()) + + a = Matrix(3, 3, [1, 2, 3, 4, 5, 6, 7, 8, 9]) + nulls = [Matrix([ + [ 1], + [-2], + [ 1]])] + rows = [a[i, :] for i in range(a.rows)] + a_echelon = a.echelon_form() + assert a_echelon.is_echelon + verify_row_null_space(a, rows, nulls) + + + a = Matrix(3, 3, [1, 2, 3, 4, 5, 6, 7, 8, 8]) + nulls = [] + rows = [a[i, :] for i in range(a.rows)] + a_echelon = a.echelon_form() + assert a_echelon.is_echelon + verify_row_null_space(a, rows, nulls) + + a = Matrix(3, 3, [2, 1, 3, 0, 0, 0, 2, 1, 3]) + nulls = [Matrix([ + [Rational(-1, 2)], + [ 1], + [ 0]]), + Matrix([ + [Rational(-3, 2)], + [ 0], + [ 1]])] + rows = [a[i, :] for i in range(a.rows)] + a_echelon = a.echelon_form() + assert a_echelon.is_echelon + verify_row_null_space(a, rows, nulls) + + # this one requires a row swap + a = Matrix(3, 3, [2, 1, 3, 0, 0, 0, 1, 1, 3]) + nulls = [Matrix([ + [ 0], + [ -3], + [ 1]])] + rows = [a[i, :] for i in range(a.rows)] + a_echelon = a.echelon_form() + assert a_echelon.is_echelon + verify_row_null_space(a, rows, nulls) + + a = Matrix(3, 3, [0, 3, 3, 0, 2, 2, 0, 1, 1]) + nulls = [Matrix([ + [1], + [0], + [0]]), + Matrix([ + [ 0], + [-1], + [ 1]])] + rows = [a[i, :] for i in range(a.rows)] + a_echelon = a.echelon_form() + assert a_echelon.is_echelon + verify_row_null_space(a, rows, nulls) + + a = Matrix(2, 3, [2, 2, 3, 3, 3, 0]) + nulls = [Matrix([ + [-1], + [1], + [0]])] + rows = [a[i, :] for i in range(a.rows)] + a_echelon = a.echelon_form() + assert a_echelon.is_echelon + verify_row_null_space(a, rows, nulls) + + +def test_rref(): + e = Matrix(0, 0, []) + assert e.rref(pivots=False) == e + + e = Matrix(1, 1, [1]) + a = Matrix(1, 1, [5]) + assert e.rref(pivots=False) == a.rref(pivots=False) == e + + a = Matrix(3, 1, [1, 2, 3]) + assert a.rref(pivots=False) == Matrix([[1], [0], [0]]) + + a = Matrix(1, 3, [1, 2, 3]) + assert a.rref(pivots=False) == Matrix([[1, 2, 3]]) + + a = Matrix(3, 3, [1, 2, 3, 4, 5, 6, 7, 8, 9]) + assert a.rref(pivots=False) == Matrix([ + [1, 0, -1], + [0, 1, 2], + [0, 0, 0]]) + + a = Matrix(3, 3, [1, 2, 3, 1, 2, 3, 1, 2, 3]) + b = Matrix(3, 3, [1, 2, 3, 0, 0, 0, 0, 0, 0]) + c = Matrix(3, 3, [0, 0, 0, 1, 2, 3, 0, 0, 0]) + d = Matrix(3, 3, [0, 0, 0, 0, 0, 0, 1, 2, 3]) + assert a.rref(pivots=False) == \ + b.rref(pivots=False) == \ + c.rref(pivots=False) == \ + d.rref(pivots=False) == b + + e = eye(3) + z = zeros(3) + assert e.rref(pivots=False) == e + assert z.rref(pivots=False) == z + + a = Matrix([ + [ 0, 0, 1, 2, 2, -5, 3], + [-1, 5, 2, 2, 1, -7, 5], + [ 0, 0, -2, -3, -3, 8, -5], + [-1, 5, 0, -1, -2, 1, 0]]) + mat, pivot_offsets = a.rref() + assert mat == Matrix([ + [1, -5, 0, 0, 1, 1, -1], + [0, 0, 1, 0, 0, -1, 1], + [0, 0, 0, 1, 1, -2, 1], + [0, 0, 0, 0, 0, 0, 0]]) + assert pivot_offsets == (0, 2, 3) + + a = Matrix([[Rational(1, 19), Rational(1, 5), 2, 3], + [ 4, 5, 6, 7], + [ 8, 9, 10, 11], + [ 12, 13, 14, 15]]) + assert a.rref(pivots=False) == Matrix([ + [1, 0, 0, Rational(-76, 157)], + [0, 1, 0, Rational(-5, 157)], + [0, 0, 1, Rational(238, 157)], + [0, 0, 0, 0]]) + + x = Symbol('x') + a = Matrix(2, 3, [x, 1, 1, sqrt(x), x, 1]) + for i, j in zip(a.rref(pivots=False), + [1, 0, sqrt(x)*(-x + 1)/(-x**Rational(5, 2) + x), + 0, 1, 1/(sqrt(x) + x + 1)]): + assert simplify(i - j).is_zero + + +def test_rref_rhs(): + a, b, c, d = symbols('a b c d') + A = Matrix([[0, 0], [0, 0], [1, 2], [3, 4]]) + B = Matrix([a, b, c, d]) + assert A.rref_rhs(B) == (Matrix([ + [1, 0], + [0, 1], + [0, 0], + [0, 0]]), Matrix([ + [ -2*c + d], + [3*c/2 - d/2], + [ a], + [ b]])) + + +def test_issue_17827(): + C = Matrix([ + [3, 4, -1, 1], + [9, 12, -3, 3], + [0, 2, 1, 3], + [2, 3, 0, -2], + [0, 3, 3, -5], + [8, 15, 0, 6] + ]) + # Tests for row/col within valid range + D = C.elementary_row_op('n<->m', row1=2, row2=5) + E = C.elementary_row_op('n->n+km', row1=5, row2=3, k=-4) + F = C.elementary_row_op('n->kn', row=5, k=2) + assert(D[5, :] == Matrix([[0, 2, 1, 3]])) + assert(E[5, :] == Matrix([[0, 3, 0, 14]])) + assert(F[5, :] == Matrix([[16, 30, 0, 12]])) + # Tests for row/col out of range + raises(ValueError, lambda: C.elementary_row_op('n<->m', row1=2, row2=6)) + raises(ValueError, lambda: C.elementary_row_op('n->kn', row=7, k=2)) + raises(ValueError, lambda: C.elementary_row_op('n->n+km', row1=-1, row2=5, k=2)) + +def test_rank(): + m = Matrix([[1, 2], [x, 1 - 1/x]]) + assert m.rank() == 2 + n = Matrix(3, 3, range(1, 10)) + assert n.rank() == 2 + p = zeros(3) + assert p.rank() == 0 + +def test_issue_11434(): + ax, ay, bx, by, cx, cy, dx, dy, ex, ey, t0, t1 = \ + symbols('a_x a_y b_x b_y c_x c_y d_x d_y e_x e_y t_0 t_1') + M = Matrix([[ax, ay, ax*t0, ay*t0, 0], + [bx, by, bx*t0, by*t0, 0], + [cx, cy, cx*t0, cy*t0, 1], + [dx, dy, dx*t0, dy*t0, 1], + [ex, ey, 2*ex*t1 - ex*t0, 2*ey*t1 - ey*t0, 0]]) + assert M.rank() == 4 + +def test_rank_regression_from_so(): + # see: + # https://stackoverflow.com/questions/19072700/why-does-sympy-give-me-the-wrong-answer-when-i-row-reduce-a-symbolic-matrix + + nu, lamb = symbols('nu, lambda') + A = Matrix([[-3*nu, 1, 0, 0], + [ 3*nu, -2*nu - 1, 2, 0], + [ 0, 2*nu, (-1*nu) - lamb - 2, 3], + [ 0, 0, nu + lamb, -3]]) + expected_reduced = Matrix([[1, 0, 0, 1/(nu**2*(-lamb - nu))], + [0, 1, 0, 3/(nu*(-lamb - nu))], + [0, 0, 1, 3/(-lamb - nu)], + [0, 0, 0, 0]]) + expected_pivots = (0, 1, 2) + + reduced, pivots = A.rref() + + assert simplify(expected_reduced - reduced) == zeros(*A.shape) + assert pivots == expected_pivots + +def test_issue_15872(): + A = Matrix([[1, 1, 1, 0], [-2, -1, 0, -1], [0, 0, -1, -1], [0, 0, 2, 1]]) + B = A - Matrix.eye(4) * I + assert B.rank() == 3 + assert (B**2).rank() == 2 + assert (B**3).rank() == 2 diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/test_repmatrix.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/test_repmatrix.py new file mode 100644 index 0000000000000000000000000000000000000000..ee36de004705f29eaa49ea8e06fd65a8a2baa718 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/test_repmatrix.py @@ -0,0 +1,62 @@ +from sympy.testing.pytest import raises +from sympy.matrices.exceptions import NonSquareMatrixError, NonInvertibleMatrixError + +from sympy import Matrix, Rational + + +def test_lll(): + A = Matrix([[1, 0, 0, 0, -20160], + [0, 1, 0, 0, 33768], + [0, 0, 1, 0, 39578], + [0, 0, 0, 1, 47757]]) + L = Matrix([[ 10, -3, -2, 8, -4], + [ 3, -9, 8, 1, -11], + [ -3, 13, -9, -3, -9], + [-12, -7, -11, 9, -1]]) + T = Matrix([[ 10, -3, -2, 8], + [ 3, -9, 8, 1], + [ -3, 13, -9, -3], + [-12, -7, -11, 9]]) + assert A.lll() == L + assert A.lll_transform() == (L, T) + assert T * A == L + + +def test_matrix_inv_mod(): + A = Matrix(2, 1, [1, 0]) + raises(NonSquareMatrixError, lambda: A.inv_mod(2)) + A = Matrix(2, 2, [1, 0, 0, 0]) + raises(NonInvertibleMatrixError, lambda: A.inv_mod(2)) + A = Matrix(2, 2, [1, 2, 3, 4]) + Ai = Matrix(2, 2, [1, 1, 0, 1]) + assert A.inv_mod(3) == Ai + A = Matrix(2, 2, [1, 0, 0, 1]) + assert A.inv_mod(2) == A + A = Matrix(3, 3, [1, 2, 3, 4, 5, 6, 7, 8, 9]) + raises(NonInvertibleMatrixError, lambda: A.inv_mod(5)) + A = Matrix(3, 3, [5, 1, 3, 2, 6, 0, 2, 1, 1]) + Ai = Matrix(3, 3, [6, 8, 0, 1, 5, 6, 5, 6, 4]) + assert A.inv_mod(9) == Ai + A = Matrix(3, 3, [1, 6, -3, 4, 1, -5, 3, -5, 5]) + Ai = Matrix(3, 3, [4, 3, 3, 1, 2, 5, 1, 5, 1]) + assert A.inv_mod(6) == Ai + A = Matrix(3, 3, [1, 6, 1, 4, 1, 5, 3, 2, 5]) + Ai = Matrix(3, 3, [6, 0, 3, 6, 6, 4, 1, 6, 1]) + assert A.inv_mod(7) == Ai + A = Matrix([[1, 2], [3, Rational(3,4)]]) + raises(ValueError, lambda: A.inv_mod(2)) + A = Matrix([[1, 2], [3, 4]]) + raises(TypeError, lambda: A.inv_mod(Rational(1, 2))) + # https://github.com/sympy/sympy/issues/27663 + M = Matrix([ + [2, 3, 1, 4], + [1, 5, 3, 2], + [3, 2, 4, 1], + [4, 1, 2, 5], + ]) + assert M.inv_mod(26) == Matrix([ + [7, 21, 10, 10], + [1, 7, 19, 3], + [14, 1, 15, 1], + [25, 23, 3, 12], + ]) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/test_solvers.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/test_solvers.py new file mode 100644 index 0000000000000000000000000000000000000000..c1347062c0482336affbeb4bb9a95aedfcc0ae53 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/test_solvers.py @@ -0,0 +1,615 @@ +import pytest +from sympy.core.function import expand_mul +from sympy.core.numbers import (I, Rational) +from sympy.core.singleton import S +from sympy.core.symbol import (Symbol, symbols) +from sympy.core.sympify import sympify +from sympy.simplify.simplify import simplify +from sympy.matrices.exceptions import (ShapeError, NonSquareMatrixError) +from sympy.matrices import ( + ImmutableMatrix, Matrix, eye, ones, ImmutableDenseMatrix, dotprodsimp) +from sympy.matrices.determinant import _det_laplace +from sympy.testing.pytest import raises +from sympy.matrices.exceptions import NonInvertibleMatrixError +from sympy.polys.matrices.exceptions import DMShapeError +from sympy.solvers.solveset import linsolve +from sympy.abc import x, y + +def test_issue_17247_expression_blowup_29(): + M = Matrix(S('''[ + [ -3/4, 45/32 - 37*I/16, 0, 0], + [-149/64 + 49*I/32, -177/128 - 1369*I/128, 0, -2063/256 + 541*I/128], + [ 0, 9/4 + 55*I/16, 2473/256 + 137*I/64, 0], + [ 0, 0, 0, -177/128 - 1369*I/128]]''')) + with dotprodsimp(True): + assert M.gauss_jordan_solve(ones(4, 1)) == (Matrix(S('''[ + [ -32549314808672/3306971225785 - 17397006745216*I/3306971225785], + [ 67439348256/3306971225785 - 9167503335872*I/3306971225785], + [-15091965363354518272/21217636514687010905 + 16890163109293858304*I/21217636514687010905], + [ -11328/952745 + 87616*I/952745]]''')), Matrix(0, 1, [])) + +def test_issue_17247_expression_blowup_30(): + M = Matrix(S('''[ + [ -3/4, 45/32 - 37*I/16, 0, 0], + [-149/64 + 49*I/32, -177/128 - 1369*I/128, 0, -2063/256 + 541*I/128], + [ 0, 9/4 + 55*I/16, 2473/256 + 137*I/64, 0], + [ 0, 0, 0, -177/128 - 1369*I/128]]''')) + with dotprodsimp(True): + assert M.cholesky_solve(ones(4, 1)) == Matrix(S('''[ + [ -32549314808672/3306971225785 - 17397006745216*I/3306971225785], + [ 67439348256/3306971225785 - 9167503335872*I/3306971225785], + [-15091965363354518272/21217636514687010905 + 16890163109293858304*I/21217636514687010905], + [ -11328/952745 + 87616*I/952745]]''')) + +# @XFAIL # This calculation hangs with dotprodsimp. +# def test_issue_17247_expression_blowup_31(): +# M = Matrix([ +# [x + 1, 1 - x, 0, 0], +# [1 - x, x + 1, 0, x + 1], +# [ 0, 1 - x, x + 1, 0], +# [ 0, 0, 0, x + 1]]) +# with dotprodsimp(True): +# assert M.LDLsolve(ones(4, 1)) == Matrix([ +# [(x + 1)/(4*x)], +# [(x - 1)/(4*x)], +# [(x + 1)/(4*x)], +# [ 1/(x + 1)]]) + + +def test_LUsolve_iszerofunc(): + # taken from https://github.com/sympy/sympy/issues/24679 + + M = Matrix([[(x + 1)**2 - (x**2 + 2*x + 1), x], [x, 0]]) + b = Matrix([1, 1]) + is_zero_func = lambda e: False if e._random() else True + + x_exp = Matrix([1/x, (1-(-x**2 - 2*x + (x+1)**2 - 1)/x)/x]) + + assert (x_exp - M.LUsolve(b, iszerofunc=is_zero_func)) == Matrix([0, 0]) + + +def test_issue_17247_expression_blowup_32(): + M = Matrix([ + [x + 1, 1 - x, 0, 0], + [1 - x, x + 1, 0, x + 1], + [ 0, 1 - x, x + 1, 0], + [ 0, 0, 0, x + 1]]) + with dotprodsimp(True): + assert M.LUsolve(ones(4, 1)) == Matrix([ + [(x + 1)/(4*x)], + [(x - 1)/(4*x)], + [(x + 1)/(4*x)], + [ 1/(x + 1)]]) + +def test_LUsolve(): + A = Matrix([[2, 3, 5], + [3, 6, 2], + [8, 3, 6]]) + x = Matrix(3, 1, [3, 7, 5]) + b = A*x + soln = A.LUsolve(b) + assert soln == x + A = Matrix([[0, -1, 2], + [5, 10, 7], + [8, 3, 4]]) + x = Matrix(3, 1, [-1, 2, 5]) + b = A*x + soln = A.LUsolve(b) + assert soln == x + A = Matrix([[2, 1], [1, 0], [1, 0]]) # issue 14548 + b = Matrix([3, 1, 1]) + assert A.LUsolve(b) == Matrix([1, 1]) + b = Matrix([3, 1, 2]) # inconsistent + raises(ValueError, lambda: A.LUsolve(b)) + A = Matrix([[0, -1, 2], + [5, 10, 7], + [8, 3, 4], + [2, 3, 5], + [3, 6, 2], + [8, 3, 6]]) + x = Matrix([2, 1, -4]) + b = A*x + soln = A.LUsolve(b) + assert soln == x + A = Matrix([[0, -1, 2], [5, 10, 7]]) # underdetermined + x = Matrix([-1, 2, 0]) + b = A*x + raises(NotImplementedError, lambda: A.LUsolve(b)) + + A = Matrix(4, 4, lambda i, j: 1/(i+j+1) if i != 3 else 0) + b = Matrix.zeros(4, 1) + raises(NonInvertibleMatrixError, lambda: A.LUsolve(b)) + + +def test_LUsolve_noncommutative(): + a0, a1, a2, a3 = symbols("a:4", commutative=False) + b0, b1 = symbols("b:2", commutative=False) + A = Matrix([[a0, a1], [a2, a3]]) + check = A * A.LUsolve(Matrix([b0, b1])) + assert check[0, 0].expand() == b0 + # Because sympy simplification is very limited with noncommutative expressions, + # perform an explicit check with the second element + assert check[1, 0] == ( + a2*a0**(-1)*(-a1*(-a2*a0**(-1)*a1 + a3)**(-1)*(-a2*a0**(-1)*b0 + b1) + b0) + + a3*(-a2*a0**(-1)*a1 + a3)**(-1)*(-a2*a0**(-1)*b0 + b1) + ) + + +def test_QRsolve(): + A = Matrix([[2, 3, 5], + [3, 6, 2], + [8, 3, 6]]) + x = Matrix(3, 1, [3, 7, 5]) + b = A*x + soln = A.QRsolve(b) + assert soln == x + x = Matrix([[1, 2], [3, 4], [5, 6]]) + b = A*x + soln = A.QRsolve(b) + assert soln == x + + A = Matrix([[0, -1, 2], + [5, 10, 7], + [8, 3, 4]]) + x = Matrix(3, 1, [-1, 2, 5]) + b = A*x + soln = A.QRsolve(b) + assert soln == x + x = Matrix([[7, 8], [9, 10], [11, 12]]) + b = A*x + soln = A.QRsolve(b) + assert soln == x + +def test_errors(): + raises(ShapeError, lambda: Matrix([1]).LUsolve(Matrix([[1, 2], [3, 4]]))) + +def test_cholesky_solve(): + A = Matrix([[2, 3, 5], + [3, 6, 2], + [8, 3, 6]]) + x = Matrix(3, 1, [3, 7, 5]) + b = A*x + soln = A.cholesky_solve(b) + assert soln == x + A = Matrix([[0, -1, 2], + [5, 10, 7], + [8, 3, 4]]) + x = Matrix(3, 1, [-1, 2, 5]) + b = A*x + soln = A.cholesky_solve(b) + assert soln == x + A = Matrix(((1, 5), (5, 1))) + x = Matrix((4, -3)) + b = A*x + soln = A.cholesky_solve(b) + assert soln == x + A = Matrix(((9, 3*I), (-3*I, 5))) + x = Matrix((-2, 1)) + b = A*x + soln = A.cholesky_solve(b) + assert expand_mul(soln) == x + A = Matrix(((9*I, 3), (-3 + I, 5))) + x = Matrix((2 + 3*I, -1)) + b = A*x + soln = A.cholesky_solve(b) + assert expand_mul(soln) == x + a00, a01, a11, b0, b1 = symbols('a00, a01, a11, b0, b1') + A = Matrix(((a00, a01), (a01, a11))) + b = Matrix((b0, b1)) + x = A.cholesky_solve(b) + assert simplify(A*x) == b + + +def test_LDLsolve(): + A = Matrix([[2, 3, 5], + [3, 6, 2], + [8, 3, 6]]) + x = Matrix(3, 1, [3, 7, 5]) + b = A*x + soln = A.LDLsolve(b) + assert soln == x + + A = Matrix([[0, -1, 2], + [5, 10, 7], + [8, 3, 4]]) + x = Matrix(3, 1, [-1, 2, 5]) + b = A*x + soln = A.LDLsolve(b) + assert soln == x + + A = Matrix(((9, 3*I), (-3*I, 5))) + x = Matrix((-2, 1)) + b = A*x + soln = A.LDLsolve(b) + assert expand_mul(soln) == x + + A = Matrix(((9*I, 3), (-3 + I, 5))) + x = Matrix((2 + 3*I, -1)) + b = A*x + soln = A.LDLsolve(b) + assert expand_mul(soln) == x + + A = Matrix(((9, 3), (3, 9))) + x = Matrix((1, 1)) + b = A * x + soln = A.LDLsolve(b) + assert expand_mul(soln) == x + + A = Matrix([[-5, -3, -4], [-3, -7, 7]]) + x = Matrix([[8], [7], [-2]]) + b = A * x + raises(NotImplementedError, lambda: A.LDLsolve(b)) + + +def test_lower_triangular_solve(): + + raises(NonSquareMatrixError, + lambda: Matrix([1, 0]).lower_triangular_solve(Matrix([0, 1]))) + raises(ShapeError, + lambda: Matrix([[1, 0], [0, 1]]).lower_triangular_solve(Matrix([1]))) + raises(ValueError, + lambda: Matrix([[2, 1], [1, 2]]).lower_triangular_solve( + Matrix([[1, 0], [0, 1]]))) + + A = Matrix([[1, 0], [0, 1]]) + B = Matrix([[x, y], [y, x]]) + C = Matrix([[4, 8], [2, 9]]) + + assert A.lower_triangular_solve(B) == B + assert A.lower_triangular_solve(C) == C + + +def test_upper_triangular_solve(): + + raises(NonSquareMatrixError, + lambda: Matrix([1, 0]).upper_triangular_solve(Matrix([0, 1]))) + raises(ShapeError, + lambda: Matrix([[1, 0], [0, 1]]).upper_triangular_solve(Matrix([1]))) + raises(TypeError, + lambda: Matrix([[2, 1], [1, 2]]).upper_triangular_solve( + Matrix([[1, 0], [0, 1]]))) + + A = Matrix([[1, 0], [0, 1]]) + B = Matrix([[x, y], [y, x]]) + C = Matrix([[2, 4], [3, 8]]) + + assert A.upper_triangular_solve(B) == B + assert A.upper_triangular_solve(C) == C + + +def test_diagonal_solve(): + raises(TypeError, lambda: Matrix([1, 1]).diagonal_solve(Matrix([1]))) + A = Matrix([[1, 0], [0, 1]])*2 + B = Matrix([[x, y], [y, x]]) + assert A.diagonal_solve(B) == B/2 + + A = Matrix([[1, 0], [1, 2]]) + raises(TypeError, lambda: A.diagonal_solve(B)) + +def test_pinv_solve(): + # Fully determined system (unique result, identical to other solvers). + A = Matrix([[1, 5], [7, 9]]) + B = Matrix([12, 13]) + assert A.pinv_solve(B) == A.cholesky_solve(B) + assert A.pinv_solve(B) == A.LDLsolve(B) + assert A.pinv_solve(B) == Matrix([sympify('-43/26'), sympify('71/26')]) + assert A * A.pinv() * B == B + # Fully determined, with two-dimensional B matrix. + B = Matrix([[12, 13, 14], [15, 16, 17]]) + assert A.pinv_solve(B) == A.cholesky_solve(B) + assert A.pinv_solve(B) == A.LDLsolve(B) + assert A.pinv_solve(B) == Matrix([[-33, -37, -41], [69, 75, 81]]) / 26 + assert A * A.pinv() * B == B + # Underdetermined system (infinite results). + A = Matrix([[1, 0, 1], [0, 1, 1]]) + B = Matrix([5, 7]) + solution = A.pinv_solve(B) + w = {} + for s in solution.atoms(Symbol): + # Extract dummy symbols used in the solution. + w[s.name] = s + assert solution == Matrix([[w['w0_0']/3 + w['w1_0']/3 - w['w2_0']/3 + 1], + [w['w0_0']/3 + w['w1_0']/3 - w['w2_0']/3 + 3], + [-w['w0_0']/3 - w['w1_0']/3 + w['w2_0']/3 + 4]]) + assert A * A.pinv() * B == B + # Overdetermined system (least squares results). + A = Matrix([[1, 0], [0, 0], [0, 1]]) + B = Matrix([3, 2, 1]) + assert A.pinv_solve(B) == Matrix([3, 1]) + # Proof the solution is not exact. + assert A * A.pinv() * B != B + +def test_pinv_rank_deficient(): + # Test the four properties of the pseudoinverse for various matrices. + As = [Matrix([[1, 1, 1], [2, 2, 2]]), + Matrix([[1, 0], [0, 0]]), + Matrix([[1, 2], [2, 4], [3, 6]])] + + for A in As: + A_pinv = A.pinv(method="RD") + AAp = A * A_pinv + ApA = A_pinv * A + assert simplify(AAp * A) == A + assert simplify(ApA * A_pinv) == A_pinv + assert AAp.H == AAp + assert ApA.H == ApA + + for A in As: + A_pinv = A.pinv(method="ED") + AAp = A * A_pinv + ApA = A_pinv * A + assert simplify(AAp * A) == A + assert simplify(ApA * A_pinv) == A_pinv + assert AAp.H == AAp + assert ApA.H == ApA + + # Test solving with rank-deficient matrices. + A = Matrix([[1, 0], [0, 0]]) + # Exact, non-unique solution. + B = Matrix([3, 0]) + solution = A.pinv_solve(B) + w1 = solution.atoms(Symbol).pop() + assert w1.name == 'w1_0' + assert solution == Matrix([3, w1]) + assert A * A.pinv() * B == B + # Least squares, non-unique solution. + B = Matrix([3, 1]) + solution = A.pinv_solve(B) + w1 = solution.atoms(Symbol).pop() + assert w1.name == 'w1_0' + assert solution == Matrix([3, w1]) + assert A * A.pinv() * B != B + +def test_gauss_jordan_solve(): + + # Square, full rank, unique solution + A = Matrix([[1, 2, 3], [4, 5, 6], [7, 8, 10]]) + b = Matrix([3, 6, 9]) + sol, params = A.gauss_jordan_solve(b) + assert sol == Matrix([[-1], [2], [0]]) + assert params == Matrix(0, 1, []) + + # Square, full rank, unique solution, B has more columns than rows + A = eye(3) + B = Matrix([[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12]]) + sol, params = A.gauss_jordan_solve(B) + assert sol == B + assert params == Matrix(0, 4, []) + + # Square, reduced rank, parametrized solution + A = Matrix([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) + b = Matrix([3, 6, 9]) + sol, params, freevar = A.gauss_jordan_solve(b, freevar=True) + w = {} + for s in sol.atoms(Symbol): + # Extract dummy symbols used in the solution. + w[s.name] = s + assert sol == Matrix([[w['tau0'] - 1], [-2*w['tau0'] + 2], [w['tau0']]]) + assert params == Matrix([[w['tau0']]]) + assert freevar == [2] + + # Square, reduced rank, parametrized solution, B has two columns + A = Matrix([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) + B = Matrix([[3, 4], [6, 8], [9, 12]]) + sol, params, freevar = A.gauss_jordan_solve(B, freevar=True) + w = {} + for s in sol.atoms(Symbol): + # Extract dummy symbols used in the solution. + w[s.name] = s + assert sol == Matrix([[w['tau0'] - 1, w['tau1'] - Rational(4, 3)], + [-2*w['tau0'] + 2, -2*w['tau1'] + Rational(8, 3)], + [w['tau0'], w['tau1']],]) + assert params == Matrix([[w['tau0'], w['tau1']]]) + assert freevar == [2] + + # Square, reduced rank, parametrized solution + A = Matrix([[1, 2, 3], [2, 4, 6], [3, 6, 9]]) + b = Matrix([0, 0, 0]) + sol, params = A.gauss_jordan_solve(b) + w = {} + for s in sol.atoms(Symbol): + w[s.name] = s + assert sol == Matrix([[-2*w['tau0'] - 3*w['tau1']], + [w['tau0']], [w['tau1']]]) + assert params == Matrix([[w['tau0']], [w['tau1']]]) + + # Square, reduced rank, parametrized solution + A = Matrix([[0, 0, 0], [0, 0, 0], [0, 0, 0]]) + b = Matrix([0, 0, 0]) + sol, params = A.gauss_jordan_solve(b) + w = {} + for s in sol.atoms(Symbol): + w[s.name] = s + assert sol == Matrix([[w['tau0']], [w['tau1']], [w['tau2']]]) + assert params == Matrix([[w['tau0']], [w['tau1']], [w['tau2']]]) + + # Square, reduced rank, no solution + A = Matrix([[1, 2, 3], [2, 4, 6], [3, 6, 9]]) + b = Matrix([0, 0, 1]) + raises(ValueError, lambda: A.gauss_jordan_solve(b)) + + # Rectangular, tall, full rank, unique solution + A = Matrix([[1, 5, 3], [2, 1, 6], [1, 7, 9], [1, 4, 3]]) + b = Matrix([0, 0, 1, 0]) + sol, params = A.gauss_jordan_solve(b) + assert sol == Matrix([[Rational(-1, 2)], [0], [Rational(1, 6)]]) + assert params == Matrix(0, 1, []) + + # Rectangular, tall, full rank, unique solution, B has less columns than rows + A = Matrix([[1, 5, 3], [2, 1, 6], [1, 7, 9], [1, 4, 3]]) + B = Matrix([[0,0], [0, 0], [1, 2], [0, 0]]) + sol, params = A.gauss_jordan_solve(B) + assert sol == Matrix([[Rational(-1, 2), Rational(-2, 2)], [0, 0], [Rational(1, 6), Rational(2, 6)]]) + assert params == Matrix(0, 2, []) + + # Rectangular, tall, full rank, no solution + A = Matrix([[1, 5, 3], [2, 1, 6], [1, 7, 9], [1, 4, 3]]) + b = Matrix([0, 0, 0, 1]) + raises(ValueError, lambda: A.gauss_jordan_solve(b)) + + # Rectangular, tall, full rank, no solution, B has two columns (2nd has no solution) + A = Matrix([[1, 5, 3], [2, 1, 6], [1, 7, 9], [1, 4, 3]]) + B = Matrix([[0,0], [0, 0], [1, 0], [0, 1]]) + raises(ValueError, lambda: A.gauss_jordan_solve(B)) + + # Rectangular, tall, full rank, no solution, B has two columns (1st has no solution) + A = Matrix([[1, 5, 3], [2, 1, 6], [1, 7, 9], [1, 4, 3]]) + B = Matrix([[0,0], [0, 0], [0, 1], [1, 0]]) + raises(ValueError, lambda: A.gauss_jordan_solve(B)) + + # Rectangular, tall, reduced rank, parametrized solution + A = Matrix([[1, 5, 3], [2, 10, 6], [3, 15, 9], [1, 4, 3]]) + b = Matrix([0, 0, 0, 1]) + sol, params = A.gauss_jordan_solve(b) + w = {} + for s in sol.atoms(Symbol): + w[s.name] = s + assert sol == Matrix([[-3*w['tau0'] + 5], [-1], [w['tau0']]]) + assert params == Matrix([[w['tau0']]]) + + # Rectangular, tall, reduced rank, no solution + A = Matrix([[1, 5, 3], [2, 10, 6], [3, 15, 9], [1, 4, 3]]) + b = Matrix([0, 0, 1, 1]) + raises(ValueError, lambda: A.gauss_jordan_solve(b)) + + # Rectangular, wide, full rank, parametrized solution + A = Matrix([[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 1, 12]]) + b = Matrix([1, 1, 1]) + sol, params = A.gauss_jordan_solve(b) + w = {} + for s in sol.atoms(Symbol): + w[s.name] = s + assert sol == Matrix([[2*w['tau0'] - 1], [-3*w['tau0'] + 1], [0], + [w['tau0']]]) + assert params == Matrix([[w['tau0']]]) + + # Rectangular, wide, reduced rank, parametrized solution + A = Matrix([[1, 2, 3, 4], [5, 6, 7, 8], [2, 4, 6, 8]]) + b = Matrix([0, 1, 0]) + sol, params = A.gauss_jordan_solve(b) + w = {} + for s in sol.atoms(Symbol): + w[s.name] = s + assert sol == Matrix([[w['tau0'] + 2*w['tau1'] + S.Half], + [-2*w['tau0'] - 3*w['tau1'] - Rational(1, 4)], + [w['tau0']], [w['tau1']]]) + assert params == Matrix([[w['tau0']], [w['tau1']]]) + # watch out for clashing symbols + x0, x1, x2, _x0 = symbols('_tau0 _tau1 _tau2 tau1') + M = Matrix([[0, 1, 0, 0, 0, 0], [0, 0, 0, 1, 0, _x0]]) + A = M[:, :-1] + b = M[:, -1:] + sol, params = A.gauss_jordan_solve(b) + assert params == Matrix(3, 1, [x0, x1, x2]) + assert sol == Matrix(5, 1, [x0, 0, x1, _x0, x2]) + + # Rectangular, wide, reduced rank, no solution + A = Matrix([[1, 2, 3, 4], [5, 6, 7, 8], [2, 4, 6, 8]]) + b = Matrix([1, 1, 1]) + raises(ValueError, lambda: A.gauss_jordan_solve(b)) + + # Test for immutable matrix + A = ImmutableMatrix([[1, 0], [0, 1]]) + B = ImmutableMatrix([1, 2]) + sol, params = A.gauss_jordan_solve(B) + assert sol == ImmutableMatrix([1, 2]) + assert params == ImmutableMatrix(0, 1, []) + assert sol.__class__ == ImmutableDenseMatrix + assert params.__class__ == ImmutableDenseMatrix + + # Test placement of free variables + A = Matrix([[1, 0, 0, 0], [0, 0, 0, 1]]) + b = Matrix([1, 1]) + sol, params = A.gauss_jordan_solve(b) + w = {} + for s in sol.atoms(Symbol): + w[s.name] = s + assert sol == Matrix([[1], [w['tau0']], [w['tau1']], [1]]) + assert params == Matrix([[w['tau0']], [w['tau1']]]) + + +def test_linsolve_underdetermined_AND_gauss_jordan_solve(): + #Test placement of free variables as per issue 19815 + A = Matrix([[1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], + [1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0], + [0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0], + [0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0], + [0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0], + [0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0], + [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0], + [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1]]) + B = Matrix([1, 2, 1, 1, 1, 1, 1, 2]) + sol, params = A.gauss_jordan_solve(B) + w = {} + for s in sol.atoms(Symbol): + w[s.name] = s + assert params == Matrix([[w['tau0']], [w['tau1']], [w['tau2']], + [w['tau3']], [w['tau4']], [w['tau5']]]) + assert sol == Matrix([[1 - 1*w['tau2']], + [w['tau2']], + [1 - 1*w['tau0'] + w['tau1']], + [w['tau0']], + [w['tau3'] + w['tau4']], + [-1*w['tau3'] - 1*w['tau4'] - 1*w['tau1']], + [1 - 1*w['tau2']], + [w['tau1']], + [w['tau2']], + [w['tau3']], + [w['tau4']], + [1 - 1*w['tau5']], + [w['tau5']], + [1]]) + + from sympy.abc import j,f + # https://github.com/sympy/sympy/issues/20046 + A = Matrix([ + [1, 1, 1, 1, 1, 1, 1, 1, 1], + [0, -1, 0, -1, 0, -1, 0, -1, -j], + [0, 0, 0, 0, 1, 1, 1, 1, f] + ]) + + sol_1=Matrix(list(linsolve(A))[0]) + + tau0, tau1, tau2, tau3, tau4 = symbols('tau:5') + + assert sol_1 == Matrix([[-f - j - tau0 + tau2 + tau4 + 1], + [j - tau1 - tau2 - tau4], + [tau0], + [tau1], + [f - tau2 - tau3 - tau4], + [tau2], + [tau3], + [tau4]]) + + # https://github.com/sympy/sympy/issues/19815 + sol_2 = A[:, : -1 ] * sol_1 - A[:, -1 ] + assert sol_2 == Matrix([[0], [0], [0]]) + + +@pytest.mark.parametrize("det_method", ["bird", "laplace"]) +@pytest.mark.parametrize("M, rhs", [ + (Matrix([[2, 3, 5], [3, 6, 2], [8, 3, 6]]), Matrix(3, 1, [3, 7, 5])), + (Matrix([[2, 3, 5], [3, 6, 2], [8, 3, 6]]), + Matrix([[1, 2], [3, 4], [5, 6]])), + (Matrix(2, 2, symbols("a:4")), Matrix(2, 1, symbols("b:2"))), +]) +def test_cramer_solve(det_method, M, rhs): + assert simplify(M.cramer_solve(rhs, det_method=det_method) - M.LUsolve(rhs) + ) == Matrix.zeros(M.rows, rhs.cols) + + +@pytest.mark.parametrize("det_method, error", [ + ("bird", DMShapeError), (_det_laplace, NonSquareMatrixError)]) +def test_cramer_solve_errors(det_method, error): + # Non-square matrix + A = Matrix([[0, -1, 2], [5, 10, 7]]) + b = Matrix([-2, 15]) + raises(error, lambda: A.cramer_solve(b, det_method=det_method)) + + +def test_solve(): + A = Matrix([[1,2], [2,4]]) + b = Matrix([[3], [4]]) + raises(ValueError, lambda: A.solve(b)) #no solution + b = Matrix([[ 4], [8]]) + raises(ValueError, lambda: A.solve(b)) #infinite solution diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/test_sparse.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/test_sparse.py new file mode 100644 index 0000000000000000000000000000000000000000..4d257c8062f220cc06bc0dabdc7ac40ce9dc4adc --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/test_sparse.py @@ -0,0 +1,745 @@ +from sympy.core.numbers import (Float, I, Rational) +from sympy.core.singleton import S +from sympy.core.symbol import (Symbol, symbols) +from sympy.functions.elementary.complexes import Abs +from sympy.polys.polytools import PurePoly +from sympy.matrices import \ + Matrix, MutableSparseMatrix, ImmutableSparseMatrix, SparseMatrix, eye, \ + ones, zeros, ShapeError, NonSquareMatrixError +from sympy.testing.pytest import raises + + +def test_sparse_creation(): + a = SparseMatrix(2, 2, {(0, 0): [[1, 2], [3, 4]]}) + assert a == SparseMatrix([[1, 2], [3, 4]]) + a = SparseMatrix(2, 2, {(0, 0): [[1, 2]]}) + assert a == SparseMatrix([[1, 2], [0, 0]]) + a = SparseMatrix(2, 2, {(0, 0): [1, 2]}) + assert a == SparseMatrix([[1, 0], [2, 0]]) + + +def test_sparse_matrix(): + def sparse_eye(n): + return SparseMatrix.eye(n) + + def sparse_zeros(n): + return SparseMatrix.zeros(n) + + # creation args + raises(TypeError, lambda: SparseMatrix(1, 2)) + + a = SparseMatrix(( + (1, 0), + (0, 1) + )) + assert SparseMatrix(a) == a + + from sympy.matrices import MutableDenseMatrix + a = MutableSparseMatrix([]) + b = MutableDenseMatrix([1, 2]) + assert a.row_join(b) == b + assert a.col_join(b) == b + assert type(a.row_join(b)) == type(a) + assert type(a.col_join(b)) == type(a) + + # make sure 0 x n matrices get stacked correctly + sparse_matrices = [SparseMatrix.zeros(0, n) for n in range(4)] + assert SparseMatrix.hstack(*sparse_matrices) == Matrix(0, 6, []) + sparse_matrices = [SparseMatrix.zeros(n, 0) for n in range(4)] + assert SparseMatrix.vstack(*sparse_matrices) == Matrix(6, 0, []) + + # test element assignment + a = SparseMatrix(( + (1, 0), + (0, 1) + )) + + a[3] = 4 + assert a[1, 1] == 4 + a[3] = 1 + + a[0, 0] = 2 + assert a == SparseMatrix(( + (2, 0), + (0, 1) + )) + a[1, 0] = 5 + assert a == SparseMatrix(( + (2, 0), + (5, 1) + )) + a[1, 1] = 0 + assert a == SparseMatrix(( + (2, 0), + (5, 0) + )) + assert a.todok() == {(0, 0): 2, (1, 0): 5} + + # test_multiplication + a = SparseMatrix(( + (1, 2), + (3, 1), + (0, 6), + )) + + b = SparseMatrix(( + (1, 2), + (3, 0), + )) + + c = a*b + assert c[0, 0] == 7 + assert c[0, 1] == 2 + assert c[1, 0] == 6 + assert c[1, 1] == 6 + assert c[2, 0] == 18 + assert c[2, 1] == 0 + + try: + eval('c = a @ b') + except SyntaxError: + pass + else: + assert c[0, 0] == 7 + assert c[0, 1] == 2 + assert c[1, 0] == 6 + assert c[1, 1] == 6 + assert c[2, 0] == 18 + assert c[2, 1] == 0 + + x = Symbol("x") + + c = b * Symbol("x") + assert isinstance(c, SparseMatrix) + assert c[0, 0] == x + assert c[0, 1] == 2*x + assert c[1, 0] == 3*x + assert c[1, 1] == 0 + + c = 5 * b + assert isinstance(c, SparseMatrix) + assert c[0, 0] == 5 + assert c[0, 1] == 2*5 + assert c[1, 0] == 3*5 + assert c[1, 1] == 0 + + #test_power + A = SparseMatrix([[2, 3], [4, 5]]) + assert (A**5)[:] == [6140, 8097, 10796, 14237] + A = SparseMatrix([[2, 1, 3], [4, 2, 4], [6, 12, 1]]) + assert (A**3)[:] == [290, 262, 251, 448, 440, 368, 702, 954, 433] + + # test_creation + x = Symbol("x") + a = SparseMatrix([[x, 0], [0, 0]]) + m = a + assert m.cols == m.rows + assert m.cols == 2 + assert m[:] == [x, 0, 0, 0] + b = SparseMatrix(2, 2, [x, 0, 0, 0]) + m = b + assert m.cols == m.rows + assert m.cols == 2 + assert m[:] == [x, 0, 0, 0] + + assert a == b + S = sparse_eye(3) + S.row_del(1) + assert S == SparseMatrix([ + [1, 0, 0], + [0, 0, 1]]) + S = sparse_eye(3) + S.col_del(1) + assert S == SparseMatrix([ + [1, 0], + [0, 0], + [0, 1]]) + S = SparseMatrix.eye(3) + S[2, 1] = 2 + S.col_swap(1, 0) + assert S == SparseMatrix([ + [0, 1, 0], + [1, 0, 0], + [2, 0, 1]]) + S.row_swap(0, 1) + assert S == SparseMatrix([ + [1, 0, 0], + [0, 1, 0], + [2, 0, 1]]) + + a = SparseMatrix(1, 2, [1, 2]) + b = a.copy() + c = a.copy() + assert a[0] == 1 + a.row_del(0) + assert a == SparseMatrix(0, 2, []) + b.col_del(1) + assert b == SparseMatrix(1, 1, [1]) + + assert SparseMatrix([[1, 2, 3], [1, 2], [1]]) == Matrix([ + [1, 2, 3], + [1, 2, 0], + [1, 0, 0]]) + assert SparseMatrix(4, 4, {(1, 1): sparse_eye(2)}) == Matrix([ + [0, 0, 0, 0], + [0, 1, 0, 0], + [0, 0, 1, 0], + [0, 0, 0, 0]]) + raises(ValueError, lambda: SparseMatrix(1, 1, {(1, 1): 1})) + assert SparseMatrix(1, 2, [1, 2]).tolist() == [[1, 2]] + assert SparseMatrix(2, 2, [1, [2, 3]]).tolist() == [[1, 0], [2, 3]] + raises(ValueError, lambda: SparseMatrix(2, 2, [1])) + raises(ValueError, lambda: SparseMatrix(1, 1, [[1, 2]])) + assert SparseMatrix([.1]).has(Float) + # autosizing + assert SparseMatrix(None, {(0, 1): 0}).shape == (0, 0) + assert SparseMatrix(None, {(0, 1): 1}).shape == (1, 2) + assert SparseMatrix(None, None, {(0, 1): 1}).shape == (1, 2) + raises(ValueError, lambda: SparseMatrix(None, 1, [[1, 2]])) + raises(ValueError, lambda: SparseMatrix(1, None, [[1, 2]])) + raises(ValueError, lambda: SparseMatrix(3, 3, {(0, 0): ones(2), (1, 1): 2})) + + # test_determinant + x, y = Symbol('x'), Symbol('y') + + assert SparseMatrix(1, 1, [0]).det() == 0 + + assert SparseMatrix([[1]]).det() == 1 + + assert SparseMatrix(((-3, 2), (8, -5))).det() == -1 + + assert SparseMatrix(((x, 1), (y, 2*y))).det() == 2*x*y - y + + assert SparseMatrix(( (1, 1, 1), + (1, 2, 3), + (1, 3, 6) )).det() == 1 + + assert SparseMatrix(( ( 3, -2, 0, 5), + (-2, 1, -2, 2), + ( 0, -2, 5, 0), + ( 5, 0, 3, 4) )).det() == -289 + + assert SparseMatrix(( ( 1, 2, 3, 4), + ( 5, 6, 7, 8), + ( 9, 10, 11, 12), + (13, 14, 15, 16) )).det() == 0 + + assert SparseMatrix(( (3, 2, 0, 0, 0), + (0, 3, 2, 0, 0), + (0, 0, 3, 2, 0), + (0, 0, 0, 3, 2), + (2, 0, 0, 0, 3) )).det() == 275 + + assert SparseMatrix(( (1, 0, 1, 2, 12), + (2, 0, 1, 1, 4), + (2, 1, 1, -1, 3), + (3, 2, -1, 1, 8), + (1, 1, 1, 0, 6) )).det() == -55 + + assert SparseMatrix(( (-5, 2, 3, 4, 5), + ( 1, -4, 3, 4, 5), + ( 1, 2, -3, 4, 5), + ( 1, 2, 3, -2, 5), + ( 1, 2, 3, 4, -1) )).det() == 11664 + + assert SparseMatrix(( ( 3, 0, 0, 0), + (-2, 1, 0, 0), + ( 0, -2, 5, 0), + ( 5, 0, 3, 4) )).det() == 60 + + assert SparseMatrix(( ( 1, 0, 0, 0), + ( 5, 0, 0, 0), + ( 9, 10, 11, 0), + (13, 14, 15, 16) )).det() == 0 + + assert SparseMatrix(( (3, 2, 0, 0, 0), + (0, 3, 2, 0, 0), + (0, 0, 3, 2, 0), + (0, 0, 0, 3, 2), + (0, 0, 0, 0, 3) )).det() == 243 + + assert SparseMatrix(( ( 2, 7, -1, 3, 2), + ( 0, 0, 1, 0, 1), + (-2, 0, 7, 0, 2), + (-3, -2, 4, 5, 3), + ( 1, 0, 0, 0, 1) )).det() == 123 + + # test_slicing + m0 = sparse_eye(4) + assert m0[:3, :3] == sparse_eye(3) + assert m0[2:4, 0:2] == sparse_zeros(2) + + m1 = SparseMatrix(3, 3, lambda i, j: i + j) + assert m1[0, :] == SparseMatrix(1, 3, (0, 1, 2)) + assert m1[1:3, 1] == SparseMatrix(2, 1, (2, 3)) + + m2 = SparseMatrix( + [[0, 1, 2, 3], [4, 5, 6, 7], [8, 9, 10, 11], [12, 13, 14, 15]]) + assert m2[:, -1] == SparseMatrix(4, 1, [3, 7, 11, 15]) + assert m2[-2:, :] == SparseMatrix([[8, 9, 10, 11], [12, 13, 14, 15]]) + + assert SparseMatrix([[1, 2], [3, 4]])[[1], [1]] == Matrix([[4]]) + + # test_submatrix_assignment + m = sparse_zeros(4) + m[2:4, 2:4] = sparse_eye(2) + assert m == SparseMatrix([(0, 0, 0, 0), + (0, 0, 0, 0), + (0, 0, 1, 0), + (0, 0, 0, 1)]) + assert len(m.todok()) == 2 + m[:2, :2] = sparse_eye(2) + assert m == sparse_eye(4) + m[:, 0] = SparseMatrix(4, 1, (1, 2, 3, 4)) + assert m == SparseMatrix([(1, 0, 0, 0), + (2, 1, 0, 0), + (3, 0, 1, 0), + (4, 0, 0, 1)]) + m[:, :] = sparse_zeros(4) + assert m == sparse_zeros(4) + m[:, :] = ((1, 2, 3, 4), (5, 6, 7, 8), (9, 10, 11, 12), (13, 14, 15, 16)) + assert m == SparseMatrix((( 1, 2, 3, 4), + ( 5, 6, 7, 8), + ( 9, 10, 11, 12), + (13, 14, 15, 16))) + m[:2, 0] = [0, 0] + assert m == SparseMatrix((( 0, 2, 3, 4), + ( 0, 6, 7, 8), + ( 9, 10, 11, 12), + (13, 14, 15, 16))) + + # test_reshape + m0 = sparse_eye(3) + assert m0.reshape(1, 9) == SparseMatrix(1, 9, (1, 0, 0, 0, 1, 0, 0, 0, 1)) + m1 = SparseMatrix(3, 4, lambda i, j: i + j) + assert m1.reshape(4, 3) == \ + SparseMatrix([(0, 1, 2), (3, 1, 2), (3, 4, 2), (3, 4, 5)]) + assert m1.reshape(2, 6) == \ + SparseMatrix([(0, 1, 2, 3, 1, 2), (3, 4, 2, 3, 4, 5)]) + + # test_applyfunc + m0 = sparse_eye(3) + assert m0.applyfunc(lambda x: 2*x) == sparse_eye(3)*2 + assert m0.applyfunc(lambda x: 0 ) == sparse_zeros(3) + + # test__eval_Abs + assert abs(SparseMatrix(((x, 1), (y, 2*y)))) == SparseMatrix(((Abs(x), 1), (Abs(y), 2*Abs(y)))) + + # test_LUdecomp + testmat = SparseMatrix([[ 0, 2, 5, 3], + [ 3, 3, 7, 4], + [ 8, 4, 0, 2], + [-2, 6, 3, 4]]) + L, U, p = testmat.LUdecomposition() + assert L.is_lower + assert U.is_upper + assert (L*U).permute_rows(p, 'backward') - testmat == sparse_zeros(4) + + testmat = SparseMatrix([[ 6, -2, 7, 4], + [ 0, 3, 6, 7], + [ 1, -2, 7, 4], + [-9, 2, 6, 3]]) + L, U, p = testmat.LUdecomposition() + assert L.is_lower + assert U.is_upper + assert (L*U).permute_rows(p, 'backward') - testmat == sparse_zeros(4) + + x, y, z = Symbol('x'), Symbol('y'), Symbol('z') + M = Matrix(((1, x, 1), (2, y, 0), (y, 0, z))) + L, U, p = M.LUdecomposition() + assert L.is_lower + assert U.is_upper + assert (L*U).permute_rows(p, 'backward') - M == sparse_zeros(3) + + # test_LUsolve + A = SparseMatrix([[2, 3, 5], + [3, 6, 2], + [8, 3, 6]]) + x = SparseMatrix(3, 1, [3, 7, 5]) + b = A*x + soln = A.LUsolve(b) + assert soln == x + A = SparseMatrix([[0, -1, 2], + [5, 10, 7], + [8, 3, 4]]) + x = SparseMatrix(3, 1, [-1, 2, 5]) + b = A*x + soln = A.LUsolve(b) + assert soln == x + + # test_inverse + A = sparse_eye(4) + assert A.inv() == sparse_eye(4) + assert A.inv(method="CH") == sparse_eye(4) + assert A.inv(method="LDL") == sparse_eye(4) + + A = SparseMatrix([[2, 3, 5], + [3, 6, 2], + [7, 2, 6]]) + Ainv = SparseMatrix(Matrix(A).inv()) + assert A*Ainv == sparse_eye(3) + assert A.inv(method="CH") == Ainv + assert A.inv(method="LDL") == Ainv + + A = SparseMatrix([[2, 3, 5], + [3, 6, 2], + [5, 2, 6]]) + Ainv = SparseMatrix(Matrix(A).inv()) + assert A*Ainv == sparse_eye(3) + assert A.inv(method="CH") == Ainv + assert A.inv(method="LDL") == Ainv + + # test_cross + v1 = Matrix(1, 3, [1, 2, 3]) + v2 = Matrix(1, 3, [3, 4, 5]) + assert v1.cross(v2) == Matrix(1, 3, [-2, 4, -2]) + assert v1.norm(2)**2 == 14 + + # conjugate + a = SparseMatrix(((1, 2 + I), (3, 4))) + assert a.C == SparseMatrix([ + [1, 2 - I], + [3, 4] + ]) + + # mul + assert a*Matrix(2, 2, [1, 0, 0, 1]) == a + assert a + Matrix(2, 2, [1, 1, 1, 1]) == SparseMatrix([ + [2, 3 + I], + [4, 5] + ]) + + # col join + assert a.col_join(sparse_eye(2)) == SparseMatrix([ + [1, 2 + I], + [3, 4], + [1, 0], + [0, 1] + ]) + + # row insert + assert a.row_insert(2, sparse_eye(2)) == SparseMatrix([ + [1, 2 + I], + [3, 4], + [1, 0], + [0, 1] + ]) + + # col insert + assert a.col_insert(2, SparseMatrix.zeros(2, 1)) == SparseMatrix([ + [1, 2 + I, 0], + [3, 4, 0], + ]) + + # symmetric + assert not a.is_symmetric(simplify=False) + + # col op + M = SparseMatrix.eye(3)*2 + M[1, 0] = -1 + M.col_op(1, lambda v, i: v + 2*M[i, 0]) + assert M == SparseMatrix([ + [ 2, 4, 0], + [-1, 0, 0], + [ 0, 0, 2] + ]) + + # fill + M = SparseMatrix.eye(3) + M.fill(2) + assert M == SparseMatrix([ + [2, 2, 2], + [2, 2, 2], + [2, 2, 2], + ]) + + # test_cofactor + assert sparse_eye(3) == sparse_eye(3).cofactor_matrix() + test = SparseMatrix([[1, 3, 2], [2, 6, 3], [2, 3, 6]]) + assert test.cofactor_matrix() == \ + SparseMatrix([[27, -6, -6], [-12, 2, 3], [-3, 1, 0]]) + test = SparseMatrix([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) + assert test.cofactor_matrix() == \ + SparseMatrix([[-3, 6, -3], [6, -12, 6], [-3, 6, -3]]) + + # test_jacobian + x = Symbol('x') + y = Symbol('y') + L = SparseMatrix(1, 2, [x**2*y, 2*y**2 + x*y]) + syms = [x, y] + assert L.jacobian(syms) == Matrix([[2*x*y, x**2], [y, 4*y + x]]) + + L = SparseMatrix(1, 2, [x, x**2*y**3]) + assert L.jacobian(syms) == SparseMatrix([[1, 0], [2*x*y**3, x**2*3*y**2]]) + + # test_QR + A = Matrix([[1, 2], [2, 3]]) + Q, S = A.QRdecomposition() + R = Rational + assert Q == Matrix([ + [ 5**R(-1, 2), (R(2)/5)*(R(1)/5)**R(-1, 2)], + [2*5**R(-1, 2), (-R(1)/5)*(R(1)/5)**R(-1, 2)]]) + assert S == Matrix([ + [5**R(1, 2), 8*5**R(-1, 2)], + [ 0, (R(1)/5)**R(1, 2)]]) + assert Q*S == A + assert Q.T * Q == sparse_eye(2) + + R = Rational + # test nullspace + # first test reduced row-ech form + + M = SparseMatrix([[5, 7, 2, 1], + [1, 6, 2, -1]]) + out, tmp = M.rref() + assert out == Matrix([[1, 0, -R(2)/23, R(13)/23], + [0, 1, R(8)/23, R(-6)/23]]) + + M = SparseMatrix([[ 1, 3, 0, 2, 6, 3, 1], + [-2, -6, 0, -2, -8, 3, 1], + [ 3, 9, 0, 0, 6, 6, 2], + [-1, -3, 0, 1, 0, 9, 3]]) + + out, tmp = M.rref() + assert out == Matrix([[1, 3, 0, 0, 2, 0, 0], + [0, 0, 0, 1, 2, 0, 0], + [0, 0, 0, 0, 0, 1, R(1)/3], + [0, 0, 0, 0, 0, 0, 0]]) + # now check the vectors + basis = M.nullspace() + assert basis[0] == Matrix([-3, 1, 0, 0, 0, 0, 0]) + assert basis[1] == Matrix([0, 0, 1, 0, 0, 0, 0]) + assert basis[2] == Matrix([-2, 0, 0, -2, 1, 0, 0]) + assert basis[3] == Matrix([0, 0, 0, 0, 0, R(-1)/3, 1]) + + # test eigen + x = Symbol('x') + y = Symbol('y') + sparse_eye3 = sparse_eye(3) + assert sparse_eye3.charpoly(x) == PurePoly((x - 1)**3) + assert sparse_eye3.charpoly(y) == PurePoly((y - 1)**3) + + # test values + M = Matrix([( 0, 1, -1), + ( 1, 1, 0), + (-1, 0, 1)]) + vals = M.eigenvals() + assert sorted(vals.keys()) == [-1, 1, 2] + + R = Rational + M = Matrix([[1, 0, 0], + [0, 1, 0], + [0, 0, 1]]) + assert M.eigenvects() == [(1, 3, [ + Matrix([1, 0, 0]), + Matrix([0, 1, 0]), + Matrix([0, 0, 1])])] + M = Matrix([[5, 0, 2], + [3, 2, 0], + [0, 0, 1]]) + assert M.eigenvects() == [(1, 1, [Matrix([R(-1)/2, R(3)/2, 1])]), + (2, 1, [Matrix([0, 1, 0])]), + (5, 1, [Matrix([1, 1, 0])])] + + assert M.zeros(3, 5) == SparseMatrix(3, 5, {}) + A = SparseMatrix(10, 10, {(0, 0): 18, (0, 9): 12, (1, 4): 18, (2, 7): 16, (3, 9): 12, (4, 2): 19, (5, 7): 16, (6, 2): 12, (9, 7): 18}) + assert A.row_list() == [(0, 0, 18), (0, 9, 12), (1, 4, 18), (2, 7, 16), (3, 9, 12), (4, 2, 19), (5, 7, 16), (6, 2, 12), (9, 7, 18)] + assert A.col_list() == [(0, 0, 18), (4, 2, 19), (6, 2, 12), (1, 4, 18), (2, 7, 16), (5, 7, 16), (9, 7, 18), (0, 9, 12), (3, 9, 12)] + assert SparseMatrix.eye(2).nnz() == 2 + + +def test_scalar_multiply(): + assert SparseMatrix([[1, 2]]).scalar_multiply(3) == SparseMatrix([[3, 6]]) + + +def test_transpose(): + assert SparseMatrix(((1, 2), (3, 4))).transpose() == \ + SparseMatrix(((1, 3), (2, 4))) + + +def test_trace(): + assert SparseMatrix(((1, 2), (3, 4))).trace() == 5 + assert SparseMatrix(((0, 0), (0, 4))).trace() == 4 + + +def test_CL_RL(): + assert SparseMatrix(((1, 2), (3, 4))).row_list() == \ + [(0, 0, 1), (0, 1, 2), (1, 0, 3), (1, 1, 4)] + assert SparseMatrix(((1, 2), (3, 4))).col_list() == \ + [(0, 0, 1), (1, 0, 3), (0, 1, 2), (1, 1, 4)] + + +def test_add(): + assert SparseMatrix(((1, 0), (0, 1))) + SparseMatrix(((0, 1), (1, 0))) == \ + SparseMatrix(((1, 1), (1, 1))) + a = SparseMatrix(100, 100, lambda i, j: int(j != 0 and i % j == 0)) + b = SparseMatrix(100, 100, lambda i, j: int(i != 0 and j % i == 0)) + assert (len(a.todok()) + len(b.todok()) - len((a + b).todok()) > 0) + + +def test_errors(): + raises(ValueError, lambda: SparseMatrix(1.4, 2, lambda i, j: 0)) + raises(TypeError, lambda: SparseMatrix([1, 2, 3], [1, 2])) + raises(ValueError, lambda: SparseMatrix([[1, 2], [3, 4]])[(1, 2, 3)]) + raises(IndexError, lambda: SparseMatrix([[1, 2], [3, 4]])[5]) + raises(ValueError, lambda: SparseMatrix([[1, 2], [3, 4]])[1, 2, 3]) + raises(TypeError, + lambda: SparseMatrix([[1, 2], [3, 4]]).copyin_list([0, 1], set())) + raises( + IndexError, lambda: SparseMatrix([[1, 2], [3, 4]])[1, 2]) + raises(TypeError, lambda: SparseMatrix([1, 2, 3]).cross(1)) + raises(IndexError, lambda: SparseMatrix(1, 2, [1, 2])[3]) + raises(ShapeError, + lambda: SparseMatrix(1, 2, [1, 2]) + SparseMatrix(2, 1, [2, 1])) + + +def test_len(): + assert not SparseMatrix() + assert SparseMatrix() == SparseMatrix([]) + assert SparseMatrix() == SparseMatrix([[]]) + + +def test_sparse_zeros_sparse_eye(): + assert SparseMatrix.eye(3) == eye(3, cls=SparseMatrix) + assert len(SparseMatrix.eye(3).todok()) == 3 + assert SparseMatrix.zeros(3) == zeros(3, cls=SparseMatrix) + assert len(SparseMatrix.zeros(3).todok()) == 0 + + +def test_copyin(): + s = SparseMatrix(3, 3, {}) + s[1, 0] = 1 + assert s[:, 0] == SparseMatrix(Matrix([0, 1, 0])) + assert s[3] == 1 + assert s[3: 4] == [1] + s[1, 1] = 42 + assert s[1, 1] == 42 + assert s[1, 1:] == SparseMatrix([[42, 0]]) + s[1, 1:] = Matrix([[5, 6]]) + assert s[1, :] == SparseMatrix([[1, 5, 6]]) + s[1, 1:] = [[42, 43]] + assert s[1, :] == SparseMatrix([[1, 42, 43]]) + s[0, 0] = 17 + assert s[:, :1] == SparseMatrix([17, 1, 0]) + s[0, 0] = [1, 1, 1] + assert s[:, 0] == SparseMatrix([1, 1, 1]) + s[0, 0] = Matrix([1, 1, 1]) + assert s[:, 0] == SparseMatrix([1, 1, 1]) + s[0, 0] = SparseMatrix([1, 1, 1]) + assert s[:, 0] == SparseMatrix([1, 1, 1]) + + +def test_sparse_solve(): + A = SparseMatrix(((25, 15, -5), (15, 18, 0), (-5, 0, 11))) + assert A.cholesky() == Matrix([ + [ 5, 0, 0], + [ 3, 3, 0], + [-1, 1, 3]]) + assert A.cholesky() * A.cholesky().T == Matrix([ + [25, 15, -5], + [15, 18, 0], + [-5, 0, 11]]) + + A = SparseMatrix(((25, 15, -5), (15, 18, 0), (-5, 0, 11))) + L, D = A.LDLdecomposition() + assert 15*L == Matrix([ + [15, 0, 0], + [ 9, 15, 0], + [-3, 5, 15]]) + assert D == Matrix([ + [25, 0, 0], + [ 0, 9, 0], + [ 0, 0, 9]]) + assert L * D * L.T == A + + A = SparseMatrix(((3, 0, 2), (0, 0, 1), (1, 2, 0))) + assert A.inv() * A == SparseMatrix(eye(3)) + + A = SparseMatrix([ + [ 2, -1, 0], + [-1, 2, -1], + [ 0, 0, 2]]) + ans = SparseMatrix([ + [Rational(2, 3), Rational(1, 3), Rational(1, 6)], + [Rational(1, 3), Rational(2, 3), Rational(1, 3)], + [ 0, 0, S.Half]]) + assert A.inv(method='CH') == ans + assert A.inv(method='LDL') == ans + assert A * ans == SparseMatrix(eye(3)) + + s = A.solve(A[:, 0], 'LDL') + assert A*s == A[:, 0] + s = A.solve(A[:, 0], 'CH') + assert A*s == A[:, 0] + A = A.col_join(A) + s = A.solve_least_squares(A[:, 0], 'CH') + assert A*s == A[:, 0] + s = A.solve_least_squares(A[:, 0], 'LDL') + assert A*s == A[:, 0] + + +def test_lower_triangular_solve(): + raises(NonSquareMatrixError, lambda: + SparseMatrix([[1, 2]]).lower_triangular_solve(Matrix([[1, 2]]))) + raises(ShapeError, lambda: + SparseMatrix([[1, 2], [0, 4]]).lower_triangular_solve(Matrix([1]))) + raises(ValueError, lambda: + SparseMatrix([[1, 2], [3, 4]]).lower_triangular_solve(Matrix([[1, 2], [3, 4]]))) + + a, b, c, d = symbols('a:d') + u, v, w, x = symbols('u:x') + + A = SparseMatrix([[a, 0], [c, d]]) + B = MutableSparseMatrix([[u, v], [w, x]]) + C = ImmutableSparseMatrix([[u, v], [w, x]]) + + sol = Matrix([[u/a, v/a], [(w - c*u/a)/d, (x - c*v/a)/d]]) + assert A.lower_triangular_solve(B) == sol + assert A.lower_triangular_solve(C) == sol + + +def test_upper_triangular_solve(): + raises(NonSquareMatrixError, lambda: + SparseMatrix([[1, 2]]).upper_triangular_solve(Matrix([[1, 2]]))) + raises(ShapeError, lambda: + SparseMatrix([[1, 2], [0, 4]]).upper_triangular_solve(Matrix([1]))) + raises(TypeError, lambda: + SparseMatrix([[1, 2], [3, 4]]).upper_triangular_solve(Matrix([[1, 2], [3, 4]]))) + + a, b, c, d = symbols('a:d') + u, v, w, x = symbols('u:x') + + A = SparseMatrix([[a, b], [0, d]]) + B = MutableSparseMatrix([[u, v], [w, x]]) + C = ImmutableSparseMatrix([[u, v], [w, x]]) + + sol = Matrix([[(u - b*w/d)/a, (v - b*x/d)/a], [w/d, x/d]]) + assert A.upper_triangular_solve(B) == sol + assert A.upper_triangular_solve(C) == sol + + +def test_diagonal_solve(): + a, d = symbols('a d') + u, v, w, x = symbols('u:x') + + A = SparseMatrix([[a, 0], [0, d]]) + B = MutableSparseMatrix([[u, v], [w, x]]) + C = ImmutableSparseMatrix([[u, v], [w, x]]) + + sol = Matrix([[u/a, v/a], [w/d, x/d]]) + assert A.diagonal_solve(B) == sol + assert A.diagonal_solve(C) == sol + + +def test_hermitian(): + x = Symbol('x') + a = SparseMatrix([[0, I], [-I, 0]]) + assert a.is_hermitian + a = SparseMatrix([[1, I], [-I, 1]]) + assert a.is_hermitian + a[0, 0] = 2*I + assert a.is_hermitian is False + a[0, 0] = x + assert a.is_hermitian is None + a[0, 1] = a[1, 0]*I + assert a.is_hermitian is False diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/test_sparsetools.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/test_sparsetools.py new file mode 100644 index 0000000000000000000000000000000000000000..244944c31da06460d4bc7beff8bce0f91fea9f14 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/test_sparsetools.py @@ -0,0 +1,132 @@ +from sympy.matrices.sparsetools import _doktocsr, _csrtodok, banded +from sympy.matrices.dense import (Matrix, eye, ones, zeros) +from sympy.matrices import SparseMatrix +from sympy.testing.pytest import raises + + +def test_doktocsr(): + a = SparseMatrix([[1, 2, 0, 0], [0, 3, 9, 0], [0, 1, 4, 0]]) + b = SparseMatrix(4, 6, [10, 20, 0, 0, 0, 0, 0, 30, 0, 40, 0, 0, 0, 0, 50, + 60, 70, 0, 0, 0, 0, 0, 0, 80]) + c = SparseMatrix(4, 4, [0, 0, 0, 0, 0, 12, 0, 2, 15, 0, 12, 0, 0, 0, 0, 4]) + d = SparseMatrix(10, 10, {(1, 1): 12, (3, 5): 7, (7, 8): 12}) + e = SparseMatrix([[0, 0, 0], [1, 0, 2], [3, 0, 0]]) + f = SparseMatrix(7, 8, {(2, 3): 5, (4, 5):12}) + assert _doktocsr(a) == [[1, 2, 3, 9, 1, 4], [0, 1, 1, 2, 1, 2], + [0, 2, 4, 6], [3, 4]] + assert _doktocsr(b) == [[10, 20, 30, 40, 50, 60, 70, 80], + [0, 1, 1, 3, 2, 3, 4, 5], [0, 2, 4, 7, 8], [4, 6]] + assert _doktocsr(c) == [[12, 2, 15, 12, 4], [1, 3, 0, 2, 3], + [0, 0, 2, 4, 5], [4, 4]] + assert _doktocsr(d) == [[12, 7, 12], [1, 5, 8], + [0, 0, 1, 1, 2, 2, 2, 2, 3, 3, 3], [10, 10]] + assert _doktocsr(e) == [[1, 2, 3], [0, 2, 0], [0, 0, 2, 3], [3, 3]] + assert _doktocsr(f) == [[5, 12], [3, 5], [0, 0, 0, 1, 1, 2, 2, 2], [7, 8]] + + +def test_csrtodok(): + h = [[5, 7, 5], [2, 1, 3], [0, 1, 1, 3], [3, 4]] + g = [[12, 5, 4], [2, 4, 2], [0, 1, 2, 3], [3, 7]] + i = [[1, 3, 12], [0, 2, 4], [0, 2, 3], [2, 5]] + j = [[11, 15, 12, 15], [2, 4, 1, 2], [0, 1, 1, 2, 3, 4], [5, 8]] + k = [[1, 3], [2, 1], [0, 1, 1, 2], [3, 3]] + m = _csrtodok(h) + assert isinstance(m, SparseMatrix) + assert m == SparseMatrix(3, 4, + {(0, 2): 5, (2, 1): 7, (2, 3): 5}) + assert _csrtodok(g) == SparseMatrix(3, 7, + {(0, 2): 12, (1, 4): 5, (2, 2): 4}) + assert _csrtodok(i) == SparseMatrix([[1, 0, 3, 0, 0], [0, 0, 0, 0, 12]]) + assert _csrtodok(j) == SparseMatrix(5, 8, + {(0, 2): 11, (2, 4): 15, (3, 1): 12, (4, 2): 15}) + assert _csrtodok(k) == SparseMatrix(3, 3, {(0, 2): 1, (2, 1): 3}) + + +def test_banded(): + raises(TypeError, lambda: banded()) + raises(TypeError, lambda: banded(1)) + raises(TypeError, lambda: banded(1, 2)) + raises(TypeError, lambda: banded(1, 2, 3)) + raises(TypeError, lambda: banded(1, 2, 3, 4)) + raises(ValueError, lambda: banded({0: (1, 2)}, rows=1)) + raises(ValueError, lambda: banded({0: (1, 2)}, cols=1)) + raises(ValueError, lambda: banded(1, {0: (1, 2)})) + raises(ValueError, lambda: banded(2, 1, {0: (1, 2)})) + raises(ValueError, lambda: banded(1, 2, {0: (1, 2)})) + + assert isinstance(banded(2, 4, {}), SparseMatrix) + assert banded(2, 4, {}) == zeros(2, 4) + assert banded({0: 0, 1: 0}) == zeros(0) + assert banded({0: Matrix([1, 2])}) == Matrix([1, 2]) + assert banded({1: [1, 2, 3, 0], -1: [4, 5, 6]}) == \ + banded({1: (1, 2, 3), -1: (4, 5, 6)}) == \ + Matrix([ + [0, 1, 0, 0], + [4, 0, 2, 0], + [0, 5, 0, 3], + [0, 0, 6, 0]]) + assert banded(3, 4, {-1: 1, 0: 2, 1: 3}) == \ + Matrix([ + [2, 3, 0, 0], + [1, 2, 3, 0], + [0, 1, 2, 3]]) + s = lambda d: (1 + d)**2 + assert banded(5, {0: s, 2: s}) == \ + Matrix([ + [1, 0, 1, 0, 0], + [0, 4, 0, 4, 0], + [0, 0, 9, 0, 9], + [0, 0, 0, 16, 0], + [0, 0, 0, 0, 25]]) + assert banded(2, {0: 1}) == \ + Matrix([ + [1, 0], + [0, 1]]) + assert banded(2, 3, {0: 1}) == \ + Matrix([ + [1, 0, 0], + [0, 1, 0]]) + vert = Matrix([1, 2, 3]) + assert banded({0: vert}, cols=3) == \ + Matrix([ + [1, 0, 0], + [2, 1, 0], + [3, 2, 1], + [0, 3, 2], + [0, 0, 3]]) + assert banded(4, {0: ones(2)}) == \ + Matrix([ + [1, 1, 0, 0], + [1, 1, 0, 0], + [0, 0, 1, 1], + [0, 0, 1, 1]]) + raises(ValueError, lambda: banded({0: 2, 1: ones(2)}, rows=5)) + assert banded({0: 2, 2: (ones(2),)*3}) == \ + Matrix([ + [2, 0, 1, 1, 0, 0, 0, 0], + [0, 2, 1, 1, 0, 0, 0, 0], + [0, 0, 2, 0, 1, 1, 0, 0], + [0, 0, 0, 2, 1, 1, 0, 0], + [0, 0, 0, 0, 2, 0, 1, 1], + [0, 0, 0, 0, 0, 2, 1, 1]]) + raises(ValueError, lambda: banded({0: (2,)*5, 1: (ones(2),)*3})) + u2 = Matrix([[1, 1], [0, 1]]) + assert banded({0: (2,)*5, 1: (u2,)*3}) == \ + Matrix([ + [2, 1, 1, 0, 0, 0, 0], + [0, 2, 1, 0, 0, 0, 0], + [0, 0, 2, 1, 1, 0, 0], + [0, 0, 0, 2, 1, 0, 0], + [0, 0, 0, 0, 2, 1, 1], + [0, 0, 0, 0, 0, 0, 1]]) + assert banded({0:(0, ones(2)), 2: 2}) == \ + Matrix([ + [0, 0, 2], + [0, 1, 1], + [0, 1, 1]]) + raises(ValueError, lambda: banded({0: (0, ones(2)), 1: 2})) + assert banded({0: 1}, cols=3) == banded({0: 1}, rows=3) == eye(3) + assert banded({1: 1}, rows=3) == Matrix([ + [0, 1, 0], + [0, 0, 1], + [0, 0, 0]]) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/test_subspaces.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/test_subspaces.py new file mode 100644 index 0000000000000000000000000000000000000000..0bd853e321eb06f754c17e7bd0c11deb870506f5 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/matrices/tests/test_subspaces.py @@ -0,0 +1,109 @@ +from sympy.matrices import Matrix +from sympy.core.numbers import Rational +from sympy.core.symbol import symbols +from sympy.solvers import solve + + +def test_columnspace_one(): + m = Matrix([[ 1, 2, 0, 2, 5], + [-2, -5, 1, -1, -8], + [ 0, -3, 3, 4, 1], + [ 3, 6, 0, -7, 2]]) + + basis = m.columnspace() + assert basis[0] == Matrix([1, -2, 0, 3]) + assert basis[1] == Matrix([2, -5, -3, 6]) + assert basis[2] == Matrix([2, -1, 4, -7]) + + assert len(basis) == 3 + assert Matrix.hstack(m, *basis).columnspace() == basis + + +def test_rowspace(): + m = Matrix([[ 1, 2, 0, 2, 5], + [-2, -5, 1, -1, -8], + [ 0, -3, 3, 4, 1], + [ 3, 6, 0, -7, 2]]) + + basis = m.rowspace() + assert basis[0] == Matrix([[1, 2, 0, 2, 5]]) + assert basis[1] == Matrix([[0, -1, 1, 3, 2]]) + assert basis[2] == Matrix([[0, 0, 0, 5, 5]]) + + assert len(basis) == 3 + + +def test_nullspace_one(): + m = Matrix([[ 1, 2, 0, 2, 5], + [-2, -5, 1, -1, -8], + [ 0, -3, 3, 4, 1], + [ 3, 6, 0, -7, 2]]) + + basis = m.nullspace() + assert basis[0] == Matrix([-2, 1, 1, 0, 0]) + assert basis[1] == Matrix([-1, -1, 0, -1, 1]) + # make sure the null space is really gets zeroed + assert all(e.is_zero for e in m*basis[0]) + assert all(e.is_zero for e in m*basis[1]) + +def test_nullspace_second(): + # first test reduced row-ech form + R = Rational + + M = Matrix([[5, 7, 2, 1], + [1, 6, 2, -1]]) + out, tmp = M.rref() + assert out == Matrix([[1, 0, -R(2)/23, R(13)/23], + [0, 1, R(8)/23, R(-6)/23]]) + + M = Matrix([[-5, -1, 4, -3, -1], + [ 1, -1, -1, 1, 0], + [-1, 0, 0, 0, 0], + [ 4, 1, -4, 3, 1], + [-2, 0, 2, -2, -1]]) + assert M*M.nullspace()[0] == Matrix(5, 1, [0]*5) + + M = Matrix([[ 1, 3, 0, 2, 6, 3, 1], + [-2, -6, 0, -2, -8, 3, 1], + [ 3, 9, 0, 0, 6, 6, 2], + [-1, -3, 0, 1, 0, 9, 3]]) + out, tmp = M.rref() + assert out == Matrix([[1, 3, 0, 0, 2, 0, 0], + [0, 0, 0, 1, 2, 0, 0], + [0, 0, 0, 0, 0, 1, R(1)/3], + [0, 0, 0, 0, 0, 0, 0]]) + + # now check the vectors + basis = M.nullspace() + assert basis[0] == Matrix([-3, 1, 0, 0, 0, 0, 0]) + assert basis[1] == Matrix([0, 0, 1, 0, 0, 0, 0]) + assert basis[2] == Matrix([-2, 0, 0, -2, 1, 0, 0]) + assert basis[3] == Matrix([0, 0, 0, 0, 0, R(-1)/3, 1]) + + # issue 4797; just see that we can do it when rows > cols + M = Matrix([[1, 2], [2, 4], [3, 6]]) + assert M.nullspace() + + +def test_columnspace_second(): + M = Matrix([[ 1, 2, 0, 2, 5], + [-2, -5, 1, -1, -8], + [ 0, -3, 3, 4, 1], + [ 3, 6, 0, -7, 2]]) + + # now check the vectors + basis = M.columnspace() + assert basis[0] == Matrix([1, -2, 0, 3]) + assert basis[1] == Matrix([2, -5, -3, 6]) + assert basis[2] == Matrix([2, -1, 4, -7]) + + #check by columnspace definition + a, b, c, d, e = symbols('a b c d e') + X = Matrix([a, b, c, d, e]) + for i in range(len(basis)): + eq=M*X-basis[i] + assert len(solve(eq, X)) != 0 + + #check if rank-nullity theorem holds + assert M.rank() == len(basis) + assert len(M.nullspace()) + len(M.columnspace()) == M.cols diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/multipledispatch/__pycache__/__init__.cpython-312.pyc b/tool_server/.venv/lib/python3.12/site-packages/sympy/multipledispatch/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..9b2da5081d2f9ebf02f4acbd3f9722164bc16438 Binary files /dev/null and b/tool_server/.venv/lib/python3.12/site-packages/sympy/multipledispatch/__pycache__/__init__.cpython-312.pyc differ diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/multipledispatch/__pycache__/conflict.cpython-312.pyc b/tool_server/.venv/lib/python3.12/site-packages/sympy/multipledispatch/__pycache__/conflict.cpython-312.pyc new file mode 100644 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assert consistent([B], [B]) + assert not consistent([A], [C]) + assert consistent([A, B], [A, B]) + assert consistent([B, A], [A, B]) + assert not consistent([B, A], [B]) + assert not consistent([B, A], [B, C]) + + +def test_super_signature(): + assert super_signature([[A]]) == [A] + assert super_signature([[A], [B]]) == [B] + assert super_signature([[A, B], [B, A]]) == [B, B] + assert super_signature([[A, A, B], [A, B, A], [B, A, A]]) == [B, B, B] + + +def test_ambiguous(): + assert not ambiguous([A], [A]) + assert not ambiguous([A], [B]) + assert not ambiguous([B], [B]) + assert not ambiguous([A, B], [B, B]) + assert ambiguous([A, B], [B, A]) + + +def test_ambiguities(): + signatures = [[A], [B], [A, B], [B, A], [A, C]] + expected = {((A, B), (B, A))} + result = ambiguities(signatures) + assert set(map(frozenset, expected)) == set(map(frozenset, result)) + + signatures = [[A], [B], [A, B], [B, A], [A, C], [B, B]] + expected = set() + result = ambiguities(signatures) + assert set(map(frozenset, expected)) == set(map(frozenset, result)) + + +def test_ordering(): + signatures = [[A, A], [A, B], [B, A], [B, B], [A, C]] + ord = ordering(signatures) + assert ord[0] == (B, B) or ord[0] == (A, C) + assert ord[-1] == (A, A) or ord[-1] == (A, C) + + +def test_type_mro(): + assert super_signature([[object], [type]]) == [type] diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/multipledispatch/tests/test_core.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/multipledispatch/tests/test_core.py new file mode 100644 index 0000000000000000000000000000000000000000..016270fecc8cda644fc71b5c310b1430b50361f6 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/multipledispatch/tests/test_core.py @@ -0,0 +1,213 @@ +from __future__ import annotations +from typing import Any + +from sympy.multipledispatch import dispatch +from sympy.multipledispatch.conflict import AmbiguityWarning +from sympy.testing.pytest import raises, warns +from functools import partial + +test_namespace: dict[str, Any] = {} + +orig_dispatch = dispatch +dispatch = partial(dispatch, namespace=test_namespace) + + +def test_singledispatch(): + @dispatch(int) + def f(x): # noqa:F811 + return x + 1 + + @dispatch(int) + def g(x): # noqa:F811 + return x + 2 + + @dispatch(float) # noqa:F811 + def f(x): # noqa:F811 + return x - 1 + + assert f(1) == 2 + assert g(1) == 3 + assert f(1.0) == 0 + + assert raises(NotImplementedError, lambda: f('hello')) + + +def test_multipledispatch(): + @dispatch(int, int) + def f(x, y): # noqa:F811 + return x + y + + @dispatch(float, float) # noqa:F811 + def f(x, y): # noqa:F811 + return x - y + + assert f(1, 2) == 3 + assert f(1.0, 2.0) == -1.0 + + +class A: pass +class B: pass +class C(A): pass +class D(C): pass +class E(C): pass + + +def test_inheritance(): + @dispatch(A) + def f(x): # noqa:F811 + return 'a' + + @dispatch(B) # noqa:F811 + def f(x): # noqa:F811 + return 'b' + + assert f(A()) == 'a' + assert f(B()) == 'b' + assert f(C()) == 'a' + + +def test_inheritance_and_multiple_dispatch(): + @dispatch(A, A) + def f(x, y): # noqa:F811 + return type(x), type(y) + + @dispatch(A, B) # noqa:F811 + def f(x, y): # noqa:F811 + return 0 + + assert f(A(), A()) == (A, A) + assert f(A(), C()) == (A, C) + assert f(A(), B()) == 0 + assert f(C(), B()) == 0 + assert raises(NotImplementedError, lambda: f(B(), B())) + + +def test_competing_solutions(): + @dispatch(A) + def h(x): # noqa:F811 + return 1 + + @dispatch(C) # noqa:F811 + def h(x): # noqa:F811 + return 2 + + assert h(D()) == 2 + + +def test_competing_multiple(): + @dispatch(A, B) + def h(x, y): # noqa:F811 + return 1 + + @dispatch(C, B) # noqa:F811 + def h(x, y): # noqa:F811 + return 2 + + assert h(D(), B()) == 2 + + +def test_competing_ambiguous(): + test_namespace = {} + dispatch = partial(orig_dispatch, namespace=test_namespace) + + @dispatch(A, C) + def f(x, y): # noqa:F811 + return 2 + + with warns(AmbiguityWarning, test_stacklevel=False): + @dispatch(C, A) # noqa:F811 + def f(x, y): # noqa:F811 + return 2 + + assert f(A(), C()) == f(C(), A()) == 2 + # assert raises(Warning, lambda : f(C(), C())) + + +def test_caching_correct_behavior(): + @dispatch(A) + def f(x): # noqa:F811 + return 1 + + assert f(C()) == 1 + + @dispatch(C) + def f(x): # noqa:F811 + return 2 + + assert f(C()) == 2 + + +def test_union_types(): + @dispatch((A, C)) + def f(x): # noqa:F811 + return 1 + + assert f(A()) == 1 + assert f(C()) == 1 + + +def test_namespaces(): + ns1 = {} + ns2 = {} + + def foo(x): + return 1 + foo1 = orig_dispatch(int, namespace=ns1)(foo) + + def foo(x): + return 2 + foo2 = orig_dispatch(int, namespace=ns2)(foo) + + assert foo1(0) == 1 + assert foo2(0) == 2 + + +""" +Fails +def test_dispatch_on_dispatch(): + @dispatch(A) + @dispatch(C) + def q(x): # noqa:F811 + return 1 + + assert q(A()) == 1 + assert q(C()) == 1 +""" + + +def test_methods(): + class Foo: + @dispatch(float) + def f(self, x): # noqa:F811 + return x - 1 + + @dispatch(int) # noqa:F811 + def f(self, x): # noqa:F811 + return x + 1 + + @dispatch(int) + def g(self, x): # noqa:F811 + return x + 3 + + + foo = Foo() + assert foo.f(1) == 2 + assert foo.f(1.0) == 0.0 + assert foo.g(1) == 4 + + +def test_methods_multiple_dispatch(): + class Foo: + @dispatch(A, A) + def f(x, y): # noqa:F811 + return 1 + + @dispatch(A, C) # noqa:F811 + def f(x, y): # noqa:F811 + return 2 + + + foo = Foo() + assert foo.f(A(), A()) == 1 + assert foo.f(A(), C()) == 2 + assert foo.f(C(), C()) == 2 diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/multipledispatch/tests/test_dispatcher.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/multipledispatch/tests/test_dispatcher.py new file mode 100644 index 0000000000000000000000000000000000000000..e31ca8a5486b87eb43fc5e6f887caf50d6bfbe20 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/multipledispatch/tests/test_dispatcher.py @@ -0,0 +1,284 @@ +from sympy.multipledispatch.dispatcher import (Dispatcher, MDNotImplementedError, + MethodDispatcher, halt_ordering, + restart_ordering, + ambiguity_register_error_ignore_dup) +from sympy.testing.pytest import raises, warns + + +def identity(x): + return x + + +def inc(x): + return x + 1 + + +def dec(x): + return x - 1 + + +def test_dispatcher(): + f = Dispatcher('f') + f.add((int,), inc) + f.add((float,), dec) + + with warns(DeprecationWarning, test_stacklevel=False): + assert f.resolve((int,)) == inc + assert f.dispatch(int) is inc + + assert f(1) == 2 + assert f(1.0) == 0.0 + + +def test_union_types(): + f = Dispatcher('f') + f.register((int, float))(inc) + + assert f(1) == 2 + assert f(1.0) == 2.0 + + +def test_dispatcher_as_decorator(): + f = Dispatcher('f') + + @f.register(int) + def inc(x): # noqa:F811 + return x + 1 + + @f.register(float) # noqa:F811 + def inc(x): # noqa:F811 + return x - 1 + + assert f(1) == 2 + assert f(1.0) == 0.0 + + +def test_register_instance_method(): + + class Test: + __init__ = MethodDispatcher('f') + + @__init__.register(list) + def _init_list(self, data): + self.data = data + + @__init__.register(object) + def _init_obj(self, datum): + self.data = [datum] + + a = Test(3) + b = Test([3]) + assert a.data == b.data + + +def test_on_ambiguity(): + f = Dispatcher('f') + + def identity(x): return x + + ambiguities = [False] + + def on_ambiguity(dispatcher, amb): + ambiguities[0] = True + + f.add((object, object), identity, on_ambiguity=on_ambiguity) + assert not ambiguities[0] + f.add((object, float), identity, on_ambiguity=on_ambiguity) + assert not ambiguities[0] + f.add((float, object), identity, on_ambiguity=on_ambiguity) + assert ambiguities[0] + + +def test_raise_error_on_non_class(): + f = Dispatcher('f') + assert raises(TypeError, lambda: f.add((1,), inc)) + + +def test_docstring(): + + def one(x, y): + """ Docstring number one """ + return x + y + + def two(x, y): + """ Docstring number two """ + return x + y + + def three(x, y): + return x + y + + master_doc = 'Doc of the multimethod itself' + + f = Dispatcher('f', doc=master_doc) + f.add((object, object), one) + f.add((int, int), two) + f.add((float, float), three) + + assert one.__doc__.strip() in f.__doc__ + assert two.__doc__.strip() in f.__doc__ + assert f.__doc__.find(one.__doc__.strip()) < \ + f.__doc__.find(two.__doc__.strip()) + assert 'object, object' in f.__doc__ + assert master_doc in f.__doc__ + + +def test_help(): + def one(x, y): + """ Docstring number one """ + return x + y + + def two(x, y): + """ Docstring number two """ + return x + y + + def three(x, y): + """ Docstring number three """ + return x + y + + master_doc = 'Doc of the multimethod itself' + + f = Dispatcher('f', doc=master_doc) + f.add((object, object), one) + f.add((int, int), two) + f.add((float, float), three) + + assert f._help(1, 1) == two.__doc__ + assert f._help(1.0, 2.0) == three.__doc__ + + +def test_source(): + def one(x, y): + """ Docstring number one """ + return x + y + + def two(x, y): + """ Docstring number two """ + return x - y + + master_doc = 'Doc of the multimethod itself' + + f = Dispatcher('f', doc=master_doc) + f.add((int, int), one) + f.add((float, float), two) + + assert 'x + y' in f._source(1, 1) + assert 'x - y' in f._source(1.0, 1.0) + + +def test_source_raises_on_missing_function(): + f = Dispatcher('f') + + assert raises(TypeError, lambda: f.source(1)) + + +def test_halt_method_resolution(): + g = [0] + + def on_ambiguity(a, b): + g[0] += 1 + + f = Dispatcher('f') + + halt_ordering() + + def func(*args): + pass + + f.add((int, object), func) + f.add((object, int), func) + + assert g == [0] + + restart_ordering(on_ambiguity=on_ambiguity) + + assert g == [1] + + assert set(f.ordering) == {(int, object), (object, int)} + + +def test_no_implementations(): + f = Dispatcher('f') + assert raises(NotImplementedError, lambda: f('hello')) + + +def test_register_stacking(): + f = Dispatcher('f') + + @f.register(list) + @f.register(tuple) + def rev(x): + return x[::-1] + + assert f((1, 2, 3)) == (3, 2, 1) + assert f([1, 2, 3]) == [3, 2, 1] + + assert raises(NotImplementedError, lambda: f('hello')) + assert rev('hello') == 'olleh' + + +def test_dispatch_method(): + f = Dispatcher('f') + + @f.register(list) + def rev(x): + return x[::-1] + + @f.register(int, int) + def add(x, y): + return x + y + + class MyList(list): + pass + + assert f.dispatch(list) is rev + assert f.dispatch(MyList) is rev + assert f.dispatch(int, int) is add + + +def test_not_implemented(): + f = Dispatcher('f') + + @f.register(object) + def _(x): + return 'default' + + @f.register(int) + def _(x): + if x % 2 == 0: + return 'even' + else: + raise MDNotImplementedError() + + assert f('hello') == 'default' # default behavior + assert f(2) == 'even' # specialized behavior + assert f(3) == 'default' # fall bac to default behavior + assert raises(NotImplementedError, lambda: f(1, 2)) + + +def test_not_implemented_error(): + f = Dispatcher('f') + + @f.register(float) + def _(a): + raise MDNotImplementedError() + + assert raises(NotImplementedError, lambda: f(1.0)) + +def test_ambiguity_register_error_ignore_dup(): + f = Dispatcher('f') + + class A: + pass + class B(A): + pass + class C(A): + pass + + # suppress warning for registering ambiguous signal + f.add((A, B), lambda x,y: None, ambiguity_register_error_ignore_dup) + f.add((B, A), lambda x,y: None, ambiguity_register_error_ignore_dup) + f.add((A, C), lambda x,y: None, ambiguity_register_error_ignore_dup) + f.add((C, A), lambda x,y: None, ambiguity_register_error_ignore_dup) + + # raises error if ambiguous signal is passed + assert raises(NotImplementedError, lambda: f(B(), C())) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/ntheory/__pycache__/__init__.cpython-312.pyc b/tool_server/.venv/lib/python3.12/site-packages/sympy/ntheory/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 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a/tool_server/.venv/lib/python3.12/site-packages/sympy/ntheory/tests/__pycache__/test_residue.cpython-312.pyc b/tool_server/.venv/lib/python3.12/site-packages/sympy/ntheory/tests/__pycache__/test_residue.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..396d09c0987eee99a4a753b79a9cd34c8f6bd06b Binary files /dev/null and b/tool_server/.venv/lib/python3.12/site-packages/sympy/ntheory/tests/__pycache__/test_residue.cpython-312.pyc differ diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/ntheory/tests/test_bbp_pi.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/ntheory/tests/test_bbp_pi.py new file mode 100644 index 0000000000000000000000000000000000000000..69c24970239cc45eef4140bf19dfd7d4f6a7e150 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/ntheory/tests/test_bbp_pi.py @@ -0,0 +1,134 @@ +from sympy.core.random import randint + +from sympy.ntheory.bbp_pi import pi_hex_digits +from sympy.testing.pytest import raises + + +# http://www.herongyang.com/Cryptography/Blowfish-First-8366-Hex-Digits-of-PI.html +# There are actually 8336 listed there; with the prepended 3 there are 8337 +# below +dig=''.join(''' +3243f6a8885a308d313198a2e03707344a4093822299f31d0082efa98ec4e6c89452821e638d013 +77be5466cf34e90c6cc0ac29b7c97c50dd3f84d5b5b54709179216d5d98979fb1bd1310ba698dfb5 +ac2ffd72dbd01adfb7b8e1afed6a267e96ba7c9045f12c7f9924a19947b3916cf70801f2e2858efc +16636920d871574e69a458fea3f4933d7e0d95748f728eb658718bcd5882154aee7b54a41dc25a59 +b59c30d5392af26013c5d1b023286085f0ca417918b8db38ef8e79dcb0603a180e6c9e0e8bb01e8a +3ed71577c1bd314b2778af2fda55605c60e65525f3aa55ab945748986263e8144055ca396a2aab10 +b6b4cc5c341141e8cea15486af7c72e993b3ee1411636fbc2a2ba9c55d741831f6ce5c3e169b8793 +1eafd6ba336c24cf5c7a325381289586773b8f48986b4bb9afc4bfe81b6628219361d809ccfb21a9 +91487cac605dec8032ef845d5de98575b1dc262302eb651b8823893e81d396acc50f6d6ff383f442 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+486f3f3b823520ab82011a1d4b277227f8611560b1e7933fdcbb3a792b344525bda08839e151ce79 +4b2f32c9b7a01fbac9e01cc87ebcc7d1f6cf0111c3a1e8aac71a908749d44fbd9ad0dadecbd50ada +380339c32ac69136678df9317ce0b12b4ff79e59b743f5bb3af2d519ff27d9459cbf97222c15e6fc +2a0f91fc719b941525fae59361ceb69cebc2a8645912baa8d1b6c1075ee3056a0c10d25065cb03a4 +42e0ec6e0e1698db3b4c98a0be3278e9649f1f9532e0d392dfd3a0342b8971f21e1b0a74414ba334 +8cc5be7120c37632d8df359f8d9b992f2ee60b6f470fe3f11de54cda541edad891ce6279cfcd3e7e +6f1618b166fd2c1d05848fd2c5f6fb2299f523f357a632762393a8353156cccd02acf081625a75eb +b56e16369788d273ccde96629281b949d04c50901b71c65614e6c6c7bd327a140a45e1d006c3f27b +9ac9aa53fd62a80f00bb25bfe235bdd2f671126905b2040222b6cbcf7ccd769c2b53113ec01640e3 +d338abbd602547adf0ba38209cf746ce7677afa1c52075606085cbfe4e8ae88dd87aaaf9b04cf9aa +7e1948c25c02fb8a8c01c36ae4d6ebe1f990d4f869a65cdea03f09252dc208e69fb74e6132ce77e2 +5b578fdfe33ac372e6'''.split()) + + +def test_hex_pi_nth_digits(): + assert pi_hex_digits(0) == '3243f6a8885a30' + assert pi_hex_digits(1) == '243f6a8885a308' + assert pi_hex_digits(10000) == '68ac8fcfb8016c' + assert pi_hex_digits(13) == '08d313198a2e03' + assert pi_hex_digits(0, 3) == '324' + assert pi_hex_digits(0, 0) == '' + raises(ValueError, lambda: pi_hex_digits(-1)) + raises(ValueError, lambda: pi_hex_digits(0, -1)) + raises(ValueError, lambda: pi_hex_digits(3.14)) + + # this will pick a random segment to compute every time + # it is run. If it ever fails, there is an error in the + # computation. + n = randint(0, len(dig)) + prec = randint(0, len(dig) - n) + assert pi_hex_digits(n, prec) == dig[n: n + prec] diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/ntheory/tests/test_continued_fraction.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/ntheory/tests/test_continued_fraction.py new file mode 100644 index 0000000000000000000000000000000000000000..8ca6088507f1d112e9146cd5249b1143f375c2cf --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/ntheory/tests/test_continued_fraction.py @@ -0,0 +1,77 @@ +import itertools +from sympy.core import GoldenRatio as phi +from sympy.core.numbers import (Rational, pi) +from sympy.core.singleton import S +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.ntheory.continued_fraction import \ + (continued_fraction_periodic as cf_p, + continued_fraction_iterator as cf_i, + continued_fraction_convergents as cf_c, + continued_fraction_reduce as cf_r, + continued_fraction as cf) +from sympy.testing.pytest import raises + + +def test_continued_fraction(): + assert cf_p(1, 1, 10, 0) == cf_p(1, 1, 0, 1) + assert cf_p(1, -1, 10, 1) == cf_p(-1, 1, 10, -1) + t = sqrt(2) + assert cf((1 + t)*(1 - t)) == cf(-1) + for n in [0, 2, Rational(2, 3), sqrt(2), 3*sqrt(2), 1 + 2*sqrt(3)/5, + (2 - 3*sqrt(5))/7, 1 + sqrt(2), (-5 + sqrt(17))/4]: + assert (cf_r(cf(n)) - n).expand() == 0 + assert (cf_r(cf(-n)) + n).expand() == 0 + raises(ValueError, lambda: cf(sqrt(2 + sqrt(3)))) + raises(ValueError, lambda: cf(sqrt(2) + sqrt(3))) + raises(ValueError, lambda: cf(pi)) + raises(ValueError, lambda: cf(.1)) + + raises(ValueError, lambda: cf_p(1, 0, 0)) + raises(ValueError, lambda: cf_p(1, 1, -1)) + assert cf_p(4, 3, 0) == [1, 3] + assert cf_p(0, 3, 5) == [0, 1, [2, 1, 12, 1, 2, 2]] + assert cf_p(1, 1, 0) == [1] + assert cf_p(3, 4, 0) == [0, 1, 3] + assert cf_p(4, 5, 0) == [0, 1, 4] + assert cf_p(5, 6, 0) == [0, 1, 5] + assert cf_p(11, 13, 0) == [0, 1, 5, 2] + assert cf_p(16, 19, 0) == [0, 1, 5, 3] + assert cf_p(27, 32, 0) == [0, 1, 5, 2, 2] + assert cf_p(1, 2, 5) == [[1]] + assert cf_p(0, 1, 2) == [1, [2]] + assert cf_p(6, 7, 49) == [1, 1, 6] + assert cf_p(3796, 1387, 0) == [2, 1, 2, 1, 4] + assert cf_p(3245, 10000) == [0, 3, 12, 4, 13] + assert cf_p(1932, 2568) == [0, 1, 3, 26, 2] + assert cf_p(6589, 2569) == [2, 1, 1, 3, 2, 1, 3, 1, 23] + + def take(iterator, n=7): + return list(itertools.islice(iterator, n)) + + assert take(cf_i(phi)) == [1, 1, 1, 1, 1, 1, 1] + assert take(cf_i(pi)) == [3, 7, 15, 1, 292, 1, 1] + + assert list(cf_i(Rational(17, 12))) == [1, 2, 2, 2] + assert list(cf_i(Rational(-17, 12))) == [-2, 1, 1, 2, 2] + + assert list(cf_c([1, 6, 1, 8])) == [S.One, Rational(7, 6), Rational(8, 7), Rational(71, 62)] + assert list(cf_c([2])) == [S(2)] + assert list(cf_c([1, 1, 1, 1, 1, 1, 1])) == [S.One, S(2), Rational(3, 2), Rational(5, 3), + Rational(8, 5), Rational(13, 8), Rational(21, 13)] + assert list(cf_c([1, 6, Rational(-1, 2), 4])) == [S.One, Rational(7, 6), Rational(5, 4), Rational(3, 2)] + assert take(cf_c([[1]])) == [S.One, S(2), Rational(3, 2), Rational(5, 3), Rational(8, 5), + Rational(13, 8), Rational(21, 13)] + assert take(cf_c([1, [1, 2]])) == [S.One, S(2), Rational(5, 3), Rational(7, 4), Rational(19, 11), + Rational(26, 15), Rational(71, 41)] + + cf_iter_e = (2 if i == 1 else i // 3 * 2 if i % 3 == 0 else 1 for i in itertools.count(1)) + assert take(cf_c(cf_iter_e)) == [S(2), S(3), Rational(8, 3), Rational(11, 4), Rational(19, 7), + Rational(87, 32), Rational(106, 39)] + + assert cf_r([1, 6, 1, 8]) == Rational(71, 62) + assert cf_r([3]) == S(3) + assert cf_r([-1, 5, 1, 4]) == Rational(-24, 29) + assert (cf_r([0, 1, 1, 7, [24, 8]]) - (sqrt(3) + 2)/7).expand() == 0 + assert cf_r([1, 5, 9]) == Rational(55, 46) + assert (cf_r([[1]]) - (sqrt(5) + 1)/2).expand() == 0 + assert cf_r([-3, 1, 1, [2]]) == -1 - sqrt(2) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/ntheory/tests/test_digits.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/ntheory/tests/test_digits.py new file mode 100644 index 0000000000000000000000000000000000000000..4284805f4ffe5b9095eacb2e83f2cd8076db3ee4 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/ntheory/tests/test_digits.py @@ -0,0 +1,55 @@ +from sympy.ntheory import count_digits, digits, is_palindromic +from sympy.core.intfunc import num_digits + +from sympy.testing.pytest import raises + + +def test_num_digits(): + # depending on whether one rounds up or down or uses log or log10, + # one or more of these will fail if you don't check for the off-by + # one condition + assert num_digits(2, 2) == 2 + assert num_digits(2**48 - 1, 2) == 48 + assert num_digits(1000, 10) == 4 + assert num_digits(125, 5) == 4 + assert num_digits(100, 16) == 2 + assert num_digits(-1000, 10) == 4 + # if changes are made to the function, this structured test over + # this range will expose problems + for base in range(2, 100): + for e in range(1, 100): + n = base**e + assert num_digits(n, base) == e + 1 + assert num_digits(n + 1, base) == e + 1 + assert num_digits(n - 1, base) == e + + +def test_digits(): + assert all(digits(n, 2)[1:] == [int(d) for d in format(n, 'b')] + for n in range(20)) + assert all(digits(n, 8)[1:] == [int(d) for d in format(n, 'o')] + for n in range(20)) + assert all(digits(n, 16)[1:] == [int(d, 16) for d in format(n, 'x')] + for n in range(20)) + assert digits(2345, 34) == [34, 2, 0, 33] + assert digits(384753, 71) == [71, 1, 5, 23, 4] + assert digits(93409, 10) == [10, 9, 3, 4, 0, 9] + assert digits(-92838, 11) == [-11, 6, 3, 8, 2, 9] + assert digits(35, 10) == [10, 3, 5] + assert digits(35, 10, 3) == [10, 0, 3, 5] + assert digits(-35, 10, 4) == [-10, 0, 0, 3, 5] + raises(ValueError, lambda: digits(2, 2, 1)) + + +def test_count_digits(): + assert count_digits(55, 2) == {1: 5, 0: 1} + assert count_digits(55, 10) == {5: 2} + n = count_digits(123) + assert n[4] == 0 and type(n[4]) is int + + +def test_is_palindromic(): + assert is_palindromic(-11) + assert is_palindromic(11) + assert is_palindromic(0o121, 8) + assert not is_palindromic(123) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/ntheory/tests/test_ecm.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/ntheory/tests/test_ecm.py new file mode 100644 index 0000000000000000000000000000000000000000..7f134e4e1cf68231e9f89242d2b8476b9edeabb8 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/ntheory/tests/test_ecm.py @@ -0,0 +1,63 @@ +from sympy.external.gmpy import invert +from sympy.ntheory.ecm import ecm, Point +from sympy.testing.pytest import slow + +@slow +def test_ecm(): + assert ecm(3146531246531241245132451321) == {3, 100327907731, 10454157497791297} + assert ecm(46167045131415113) == {43, 2634823, 407485517} + assert ecm(631211032315670776841) == {9312934919, 67777885039} + assert ecm(398883434337287) == {99476569, 4009823} + assert ecm(64211816600515193) == {281719, 359641, 633767} + assert ecm(4269021180054189416198169786894227) == {184039, 241603, 333331, 477973, 618619, 974123} + assert ecm(4516511326451341281684513) == {3, 39869, 131743543, 95542348571} + assert ecm(4132846513818654136451) == {47, 160343, 2802377, 195692803} + assert ecm(168541512131094651323) == {79, 113, 11011069, 1714635721} + #This takes ~10secs while factorint is not able to factorize this even in ~10mins + assert ecm(7060005655815754299976961394452809, B1=100000, B2=1000000) == {6988699669998001, 1010203040506070809} + + +def test_Point(): + #The curve is of the form y**2 = x**3 + a*x**2 + x + mod = 101 + a = 10 + a_24 = (a + 2)*invert(4, mod) + p1 = Point(10, 17, a_24, mod) + p2 = p1.double() + assert p2 == Point(68, 56, a_24, mod) + p4 = p2.double() + assert p4 == Point(22, 64, a_24, mod) + p8 = p4.double() + assert p8 == Point(71, 95, a_24, mod) + p16 = p8.double() + assert p16 == Point(5, 16, a_24, mod) + p32 = p16.double() + assert p32 == Point(33, 96, a_24, mod) + + # p3 = p2 + p1 + p3 = p2.add(p1, p1) + assert p3 == Point(1, 61, a_24, mod) + # p5 = p3 + p2 or p4 + p1 + p5 = p3.add(p2, p1) + assert p5 == Point(49, 90, a_24, mod) + assert p5 == p4.add(p1, p3) + # p6 = 2*p3 + p6 = p3.double() + assert p6 == Point(87, 43, a_24, mod) + assert p6 == p4.add(p2, p2) + # p7 = p5 + p2 + p7 = p5.add(p2, p3) + assert p7 == Point(69, 23, a_24, mod) + assert p7 == p4.add(p3, p1) + assert p7 == p6.add(p1, p5) + # p9 = p5 + p4 + p9 = p5.add(p4, p1) + assert p9 == Point(56, 99, a_24, mod) + assert p9 == p6.add(p3, p3) + assert p9 == p7.add(p2, p5) + assert p9 == p8.add(p1, p7) + + assert p5 == p1.mont_ladder(5) + assert p9 == p1.mont_ladder(9) + assert p16 == p1.mont_ladder(16) + assert p9 == p3.mont_ladder(3) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/ntheory/tests/test_egyptian_fraction.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/ntheory/tests/test_egyptian_fraction.py new file mode 100644 index 0000000000000000000000000000000000000000..a9a9fac578d93a88a648bdcf8dc34550cf4a7573 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/ntheory/tests/test_egyptian_fraction.py @@ -0,0 +1,49 @@ +from sympy.core.numbers import Rational +from sympy.ntheory.egyptian_fraction import egyptian_fraction +from sympy.core.add import Add +from sympy.testing.pytest import raises +from sympy.core.random import random_complex_number + + +def test_egyptian_fraction(): + def test_equality(r, alg="Greedy"): + return r == Add(*[Rational(1, i) for i in egyptian_fraction(r, alg)]) + + r = random_complex_number(a=0, c=1, b=0, d=0, rational=True) + assert test_equality(r) + + assert egyptian_fraction(Rational(4, 17)) == [5, 29, 1233, 3039345] + assert egyptian_fraction(Rational(7, 13), "Greedy") == [2, 26] + assert egyptian_fraction(Rational(23, 101), "Greedy") == \ + [5, 37, 1438, 2985448, 40108045937720] + assert egyptian_fraction(Rational(18, 23), "Takenouchi") == \ + [2, 6, 12, 35, 276, 2415] + assert egyptian_fraction(Rational(5, 6), "Graham Jewett") == \ + [6, 7, 8, 9, 10, 42, 43, 44, 45, 56, 57, 58, 72, 73, 90, 1806, 1807, + 1808, 1892, 1893, 1980, 3192, 3193, 3306, 5256, 3263442, 3263443, + 3267056, 3581556, 10192056, 10650056950806] + assert egyptian_fraction(Rational(5, 6), "Golomb") == [2, 6, 12, 20, 30] + assert egyptian_fraction(Rational(5, 121), "Golomb") == [25, 1225, 3577, 7081, 11737] + raises(ValueError, lambda: egyptian_fraction(Rational(-4, 9))) + assert egyptian_fraction(Rational(8, 3), "Golomb") == [1, 2, 3, 4, 5, 6, 7, + 14, 574, 2788, 6460, + 11590, 33062, 113820] + assert egyptian_fraction(Rational(355, 113)) == [1, 2, 3, 4, 5, 6, 7, 8, 9, + 10, 11, 12, 27, 744, 893588, + 1251493536607, + 20361068938197002344405230] + + +def test_input(): + r = (2,3), Rational(2, 3), (Rational(2), Rational(3)) + for m in ["Greedy", "Graham Jewett", "Takenouchi", "Golomb"]: + for i in r: + d = egyptian_fraction(i, m) + assert all(i.is_Integer for i in d) + if m == "Graham Jewett": + assert d == [3, 4, 12] + else: + assert d == [2, 6] + # check prefix + d = egyptian_fraction(Rational(5, 3)) + assert d == [1, 2, 6] and all(i.is_Integer for i in d) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/ntheory/tests/test_elliptic_curve.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/ntheory/tests/test_elliptic_curve.py new file mode 100644 index 0000000000000000000000000000000000000000..7d49d8eac72cc622fb92dfca8c54e5cc6c8dfb8f --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/ntheory/tests/test_elliptic_curve.py @@ -0,0 +1,20 @@ +from sympy.ntheory.elliptic_curve import EllipticCurve + + +def test_elliptic_curve(): + # Point addition and multiplication + e3 = EllipticCurve(-1, 9) + p = e3(0, 3) + q = e3(-1, 3) + r = p + q + assert r.x == 1 and r.y == -3 + r = 2*p + q + assert r.x == 35 and r.y == 207 + r = -p + q + assert r.x == 37 and r.y == 225 + # Verify result in http://www.lmfdb.org/EllipticCurve/Q + # Discriminant + assert EllipticCurve(-1, 9).discriminant == -34928 + assert EllipticCurve(-2731, -55146, 1, 0, 1).discriminant == 25088 + # Torsion points + assert len(EllipticCurve(0, 1).torsion_points()) == 6 diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/ntheory/tests/test_factor_.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/ntheory/tests/test_factor_.py new file mode 100644 index 0000000000000000000000000000000000000000..5174b842c49ef0e14c1ad38d2d9ad550c2a2a388 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/ntheory/tests/test_factor_.py @@ -0,0 +1,702 @@ +from sympy.core.containers import Dict +from sympy.core.mul import Mul +from sympy.core.power import Pow +from sympy.core.singleton import S +from sympy.functions.combinatorial.factorials import factorial as fac +from sympy.core.numbers import Integer, Rational +from sympy.external.gmpy import gcd + +from sympy.ntheory import (totient, + factorint, primefactors, divisors, nextprime, + pollard_rho, perfect_power, multiplicity, multiplicity_in_factorial, + divisor_count, primorial, pollard_pm1, divisor_sigma, + factorrat, reduced_totient) +from sympy.ntheory.factor_ import (smoothness, smoothness_p, proper_divisors, + antidivisors, antidivisor_count, _divisor_sigma, core, udivisors, udivisor_sigma, + udivisor_count, proper_divisor_count, primenu, primeomega, + mersenne_prime_exponent, is_perfect, is_abundant, + is_deficient, is_amicable, is_carmichael, find_carmichael_numbers_in_range, + find_first_n_carmichaels, dra, drm, _perfect_power, factor_cache) + +from sympy.testing.pytest import raises, slow + +from sympy.utilities.iterables import capture + + +def fac_multiplicity(n, p): + """Return the power of the prime number p in the + factorization of n!""" + if p > n: + return 0 + if p > n//2: + return 1 + q, m = n, 0 + while q >= p: + q //= p + m += q + return m + + +def multiproduct(seq=(), start=1): + """ + Return the product of a sequence of factors with multiplicities, + times the value of the parameter ``start``. The input may be a + sequence of (factor, exponent) pairs or a dict of such pairs. + + >>> multiproduct({3:7, 2:5}, 4) # = 3**7 * 2**5 * 4 + 279936 + + """ + if not seq: + return start + if isinstance(seq, dict): + seq = iter(seq.items()) + units = start + multi = [] + for base, exp in seq: + if not exp: + continue + elif exp == 1: + units *= base + else: + if exp % 2: + units *= base + multi.append((base, exp//2)) + return units * multiproduct(multi)**2 + + +def test_multiplicity(): + for b in range(2, 20): + for i in range(100): + assert multiplicity(b, b**i) == i + assert multiplicity(b, (b**i) * 23) == i + assert multiplicity(b, (b**i) * 1000249) == i + # Should be fast + assert multiplicity(10, 10**10023) == 10023 + # Should exit quickly + assert multiplicity(10**10, 10**10) == 1 + # Should raise errors for bad input + raises(ValueError, lambda: multiplicity(1, 1)) + raises(ValueError, lambda: multiplicity(1, 2)) + raises(ValueError, lambda: multiplicity(1.3, 2)) + raises(ValueError, lambda: multiplicity(2, 0)) + raises(ValueError, lambda: multiplicity(1.3, 0)) + + # handles Rationals + assert multiplicity(10, Rational(30, 7)) == 1 + assert multiplicity(Rational(2, 7), Rational(4, 7)) == 1 + assert multiplicity(Rational(1, 7), Rational(3, 49)) == 2 + assert multiplicity(Rational(2, 7), Rational(7, 2)) == -1 + assert multiplicity(3, Rational(1, 9)) == -2 + + +def test_multiplicity_in_factorial(): + n = fac(1000) + for i in (2, 4, 6, 12, 30, 36, 48, 60, 72, 96): + assert multiplicity(i, n) == multiplicity_in_factorial(i, 1000) + + +def test_private_perfect_power(): + assert _perfect_power(0) is False + assert _perfect_power(1) is False + assert _perfect_power(2) is False + assert _perfect_power(3) is False + for x in [2, 3, 5, 6, 7, 12, 15, 105, 100003]: + for y in range(2, 100): + assert _perfect_power(x**y) == (x, y) + if x & 1: + assert _perfect_power(x**y, next_p=3) == (x, y) + if x == 100003: + assert _perfect_power(x**y, next_p=100003) == (x, y) + assert _perfect_power(101*x**y) == False + # Catalan's conjecture + if x**y not in [8, 9]: + assert _perfect_power(x**y + 1) == False + assert _perfect_power(x**y - 1) == False + for x in range(1, 10): + for y in range(1, 10): + g = gcd(x, y) + if g == 1: + assert _perfect_power(5**x * 101**y) == False + else: + assert _perfect_power(5**x * 101**y) == (5**(x//g) * 101**(y//g), g) + + +def test_perfect_power(): + raises(ValueError, lambda: perfect_power(0.1)) + assert perfect_power(0) is False + assert perfect_power(1) is False + assert perfect_power(2) is False + assert perfect_power(3) is False + assert perfect_power(4) == (2, 2) + assert perfect_power(14) is False + assert perfect_power(25) == (5, 2) + assert perfect_power(22) is False + assert perfect_power(22, [2]) is False + assert perfect_power(137**(3*5*13)) == (137, 3*5*13) + assert perfect_power(137**(3*5*13) + 1) is False + assert perfect_power(137**(3*5*13) - 1) is False + assert perfect_power(103005006004**7) == (103005006004, 7) + assert perfect_power(103005006004**7 + 1) is False + assert perfect_power(103005006004**7 - 1) is False + assert perfect_power(103005006004**12) == (103005006004, 12) + assert perfect_power(103005006004**12 + 1) is False + assert perfect_power(103005006004**12 - 1) is False + assert perfect_power(2**10007) == (2, 10007) + assert perfect_power(2**10007 + 1) is False + assert perfect_power(2**10007 - 1) is False + assert perfect_power((9**99 + 1)**60) == (9**99 + 1, 60) + assert perfect_power((9**99 + 1)**60 + 1) is False + assert perfect_power((9**99 + 1)**60 - 1) is False + assert perfect_power((10**40000)**2, big=False) == (10**40000, 2) + assert perfect_power(10**100000) == (10, 100000) + assert perfect_power(10**100001) == (10, 100001) + assert perfect_power(13**4, [3, 5]) is False + assert perfect_power(3**4, [3, 10], factor=0) is False + assert perfect_power(3**3*5**3) == (15, 3) + assert perfect_power(2**3*5**5) is False + assert perfect_power(2*13**4) is False + assert perfect_power(2**5*3**3) is False + t = 2**24 + for d in divisors(24): + m = perfect_power(t*3**d) + assert m and m[1] == d or d == 1 + m = perfect_power(t*3**d, big=False) + assert m and m[1] == 2 or d == 1 or d == 3, (d, m) + + # negatives and non-integer rationals + assert perfect_power(-4) is False + assert perfect_power(-8) == (-2, 3) + assert perfect_power(-S(1)/8) == (-S(1)/2, 3) + assert perfect_power(S(1)/3) == False + assert perfect_power(-5**15) == (-5, 15) + assert perfect_power(-5**15, big=False) == (-3125, 3) + assert perfect_power(-5**15, [15]) == (-5, 15) + + n = -3 ** 60 + assert perfect_power(n) == (-81, 15) + assert perfect_power(n, big=False) == (-3486784401, 3) + assert perfect_power(n, [3, 5], big=True) == (-531441, 5) + assert perfect_power(n, [3, 5], big=False) == (-3486784401, 3) + assert perfect_power(n, [2]) == False + assert perfect_power(n, [2, 15]) == (-81, 15) + assert perfect_power(n, [2, 13]) == False + assert perfect_power(n, [17]) == False + assert perfect_power(n, [3]) == (-3486784401, 3) + assert perfect_power(n + 1) == False + + r = S(2) ** (2 * 5 * 7) / S(3) ** (2 * 7) + assert perfect_power(r) == (S(32) / 3, 14) + assert perfect_power(-r) == (-S(1024) / 9, 7) + assert perfect_power(r, big=False) == (S(34359738368) / 2187, 2) + assert perfect_power(r, [2, 5]) == (S(34359738368) / 2187, 2) + assert perfect_power(r, [5, 7]) == (S(1024) / 9, 7) + assert perfect_power(r, [5, 7], big=False) == (S(1024) / 9, 7) + assert perfect_power(r, [2, 5, 7], big=False) == (S(34359738368) / 2187, 2) + assert perfect_power(-r, [5, 7], big=False) == (-S(1024) / 9, 7) + + assert perfect_power(-S(1) / 8) == (-S(1) / 2, 3) + + assert perfect_power((-3)**60) == (3, 60) + assert perfect_power((-3)**61) == (-3, 61) + + assert perfect_power(S(2 ** 9) / 3 ** 12) == (S(8)/81, 3) + assert perfect_power(Rational(1, 2)**3) == (S.Half, 3) + assert perfect_power(Rational(-3, 2)**3) == (-3*S.Half, 3) + + +def test_factor_cache(): + factor_cache.cache_clear() + raises(ValueError, lambda: factor_cache.__setitem__(1, 5)) + raises(ValueError, lambda: factor_cache.__setitem__(10, 1)) + raises(ValueError, lambda: factor_cache.__setitem__(10, 10)) + raises(ValueError, lambda: factor_cache.__setitem__(10, 3)) + raises(ValueError, lambda: factor_cache.__setitem__(20, 4)) + factor_cache.maxsize = 3 + for i in range(2, 10): + factor_cache[5*i] = 5 + assert len(factor_cache) == 3 + factor_cache.maxsize = 5 + for i in range(2, 10): + factor_cache[5*i] = 5 + assert len(factor_cache) == 5 + factor_cache.maxsize = 2 + assert len(factor_cache) == 2 + factor_cache.maxsize =1000 + + factor_cache.cache_clear() + factor_cache[40] = 5 + assert factor_cache.get(40) == 5 + assert factor_cache.get(20) is None + assert factor_cache[40] == 5 + raises(KeyError, lambda: factor_cache[10]) + del factor_cache[40] + assert len(factor_cache) == 0 + raises(KeyError, lambda: factor_cache.__delitem__(40)) + factor_cache.add(100, [5, 2]) + assert len(factor_cache) == 2 + assert factor_cache[100] == 5 + + for n in [1000000007, 10000019*20000003]: + factorint(n) + assert n in factor_cache + + # Restore the initial state + factor_cache.cache_clear() + factor_cache.maxsize = 1000 + + +@slow +def test_factorint(): + assert primefactors(123456) == [2, 3, 643] + assert factorint(0) == {0: 1} + assert factorint(1) == {} + assert factorint(-1) == {-1: 1} + assert factorint(-2) == {-1: 1, 2: 1} + assert factorint(-16) == {-1: 1, 2: 4} + assert factorint(2) == {2: 1} + assert factorint(126) == {2: 1, 3: 2, 7: 1} + assert factorint(123456) == {2: 6, 3: 1, 643: 1} + assert factorint(5951757) == {3: 1, 7: 1, 29: 2, 337: 1} + assert factorint(64015937) == {7993: 1, 8009: 1} + assert factorint(2**(2**6) + 1) == {274177: 1, 67280421310721: 1} + #issue 19683 + assert factorint(10**38 - 1) == {3: 2, 11: 1, 909090909090909091: 1, 1111111111111111111: 1} + #issue 17676 + assert factorint(28300421052393658575) == {3: 1, 5: 2, 11: 2, 43: 1, 2063: 2, 4127: 1, 4129: 1} + assert factorint(2063**2 * 4127**1 * 4129**1) == {2063: 2, 4127: 1, 4129: 1} + assert factorint(2347**2 * 7039**1 * 7043**1) == {2347: 2, 7039: 1, 7043: 1} + + assert factorint(0, multiple=True) == [0] + assert factorint(1, multiple=True) == [] + assert factorint(-1, multiple=True) == [-1] + assert factorint(-2, multiple=True) == [-1, 2] + assert factorint(-16, multiple=True) == [-1, 2, 2, 2, 2] + assert factorint(2, multiple=True) == [2] + assert factorint(24, multiple=True) == [2, 2, 2, 3] + assert factorint(126, multiple=True) == [2, 3, 3, 7] + assert factorint(123456, multiple=True) == [2, 2, 2, 2, 2, 2, 3, 643] + assert factorint(5951757, multiple=True) == [3, 7, 29, 29, 337] + assert factorint(64015937, multiple=True) == [7993, 8009] + assert factorint(2**(2**6) + 1, multiple=True) == [274177, 67280421310721] + + assert factorint(fac(1, evaluate=False)) == {} + assert factorint(fac(7, evaluate=False)) == {2: 4, 3: 2, 5: 1, 7: 1} + assert factorint(fac(15, evaluate=False)) == \ + {2: 11, 3: 6, 5: 3, 7: 2, 11: 1, 13: 1} + assert factorint(fac(20, evaluate=False)) == \ + {2: 18, 3: 8, 5: 4, 7: 2, 11: 1, 13: 1, 17: 1, 19: 1} + assert factorint(fac(23, evaluate=False)) == \ + {2: 19, 3: 9, 5: 4, 7: 3, 11: 2, 13: 1, 17: 1, 19: 1, 23: 1} + + assert multiproduct(factorint(fac(200))) == fac(200) + assert multiproduct(factorint(fac(200, evaluate=False))) == fac(200) + for b, e in factorint(fac(150)).items(): + assert e == fac_multiplicity(150, b) + for b, e in factorint(fac(150, evaluate=False)).items(): + assert e == fac_multiplicity(150, b) + assert factorint(103005006059**7) == {103005006059: 7} + assert factorint(31337**191) == {31337: 191} + assert factorint(2**1000 * 3**500 * 257**127 * 383**60) == \ + {2: 1000, 3: 500, 257: 127, 383: 60} + assert len(factorint(fac(10000))) == 1229 + assert len(factorint(fac(10000, evaluate=False))) == 1229 + assert factorint(12932983746293756928584532764589230) == \ + {2: 1, 5: 1, 73: 1, 727719592270351: 1, 63564265087747: 1, 383: 1} + assert factorint(727719592270351) == {727719592270351: 1} + assert factorint(2**64 + 1, use_trial=False) == factorint(2**64 + 1) + for n in range(60000): + assert multiproduct(factorint(n)) == n + assert pollard_rho(2**64 + 1, seed=1) == 274177 + assert pollard_rho(19, seed=1) is None + assert factorint(3, limit=2) == {3: 1} + assert factorint(12345) == {3: 1, 5: 1, 823: 1} + assert factorint( + 12345, limit=3) == {4115: 1, 3: 1} # the 5 is greater than the limit + assert factorint(1, limit=1) == {} + assert factorint(0, 3) == {0: 1} + assert factorint(12, limit=1) == {12: 1} + assert factorint(30, limit=2) == {2: 1, 15: 1} + assert factorint(16, limit=2) == {2: 4} + assert factorint(124, limit=3) == {2: 2, 31: 1} + assert factorint(4*31**2, limit=3) == {2: 2, 31: 2} + p1 = nextprime(2**32) + p2 = nextprime(2**16) + p3 = nextprime(p2) + assert factorint(p1*p2*p3) == {p1: 1, p2: 1, p3: 1} + assert factorint(13*17*19, limit=15) == {13: 1, 17*19: 1} + assert factorint(1951*15013*15053, limit=2000) == {225990689: 1, 1951: 1} + assert factorint(primorial(17) + 1, use_pm1=0) == \ + {int(19026377261): 1, 3467: 1, 277: 1, 105229: 1} + # when prime b is closer than approx sqrt(8*p) to prime p then they are + # "close" and have a trivial factorization + a = nextprime(2**2**8) # 78 digits + b = nextprime(a + 2**2**4) + assert 'Fermat' in capture(lambda: factorint(a*b, verbose=1)) + + raises(ValueError, lambda: pollard_rho(4)) + raises(ValueError, lambda: pollard_pm1(3)) + raises(ValueError, lambda: pollard_pm1(10, B=2)) + # verbose coverage + n = nextprime(2**16)*nextprime(2**17)*nextprime(1901) + assert 'with primes' in capture(lambda: factorint(n, verbose=1)) + capture(lambda: factorint(nextprime(2**16)*1012, verbose=1)) + + n = nextprime(2**17) + capture(lambda: factorint(n**3, verbose=1)) # perfect power termination + capture(lambda: factorint(2*n, verbose=1)) # factoring complete msg + + # exceed 1st + n = nextprime(2**17) + n *= nextprime(n) + assert '1000' in capture(lambda: factorint(n, limit=1000, verbose=1)) + n *= nextprime(n) + assert len(factorint(n)) == 3 + assert len(factorint(n, limit=p1)) == 3 + n *= nextprime(2*n) + # exceed 2nd + assert '2001' in capture(lambda: factorint(n, limit=2000, verbose=1)) + assert capture( + lambda: factorint(n, limit=4000, verbose=1)).count('Pollard') == 2 + # non-prime pm1 result + n = nextprime(8069) + n *= nextprime(2*n)*nextprime(2*n, 2) + capture(lambda: factorint(n, verbose=1)) # non-prime pm1 result + # factor fermat composite + p1 = nextprime(2**17) + p2 = nextprime(2*p1) + assert factorint((p1*p2**2)**3) == {p1: 3, p2: 6} + # Test for non integer input + raises(ValueError, lambda: factorint(4.5)) + # test dict/Dict input + sans = '2**10*3**3' + n = {4: 2, 12: 3} + assert str(factorint(n)) == sans + assert str(factorint(Dict(n))) == sans + + +def test_divisors_and_divisor_count(): + assert divisors(-1) == [1] + assert divisors(0) == [] + assert divisors(1) == [1] + assert divisors(2) == [1, 2] + assert divisors(3) == [1, 3] + assert divisors(17) == [1, 17] + assert divisors(10) == [1, 2, 5, 10] + assert divisors(100) == [1, 2, 4, 5, 10, 20, 25, 50, 100] + assert divisors(101) == [1, 101] + assert type(divisors(2, generator=True)) is not list + + assert divisor_count(0) == 0 + assert divisor_count(-1) == 1 + assert divisor_count(1) == 1 + assert divisor_count(6) == 4 + assert divisor_count(12) == 6 + + assert divisor_count(180, 3) == divisor_count(180//3) + assert divisor_count(2*3*5, 7) == 0 + + +def test_proper_divisors_and_proper_divisor_count(): + assert proper_divisors(-1) == [] + assert proper_divisors(0) == [] + assert proper_divisors(1) == [] + assert proper_divisors(2) == [1] + assert proper_divisors(3) == [1] + assert proper_divisors(17) == [1] + assert proper_divisors(10) == [1, 2, 5] + assert proper_divisors(100) == [1, 2, 4, 5, 10, 20, 25, 50] + assert proper_divisors(1000000007) == [1] + assert type(proper_divisors(2, generator=True)) is not list + + assert proper_divisor_count(0) == 0 + assert proper_divisor_count(-1) == 0 + assert proper_divisor_count(1) == 0 + assert proper_divisor_count(36) == 8 + assert proper_divisor_count(2*3*5) == 7 + + +def test_udivisors_and_udivisor_count(): + assert udivisors(-1) == [1] + assert udivisors(0) == [] + assert udivisors(1) == [1] + assert udivisors(2) == [1, 2] + assert udivisors(3) == [1, 3] + assert udivisors(17) == [1, 17] + assert udivisors(10) == [1, 2, 5, 10] + assert udivisors(100) == [1, 4, 25, 100] + assert udivisors(101) == [1, 101] + assert udivisors(1000) == [1, 8, 125, 1000] + assert type(udivisors(2, generator=True)) is not list + + assert udivisor_count(0) == 0 + assert udivisor_count(-1) == 1 + assert udivisor_count(1) == 1 + assert udivisor_count(6) == 4 + assert udivisor_count(12) == 4 + + assert udivisor_count(180) == 8 + assert udivisor_count(2*3*5*7) == 16 + + +def test_issue_6981(): + S = set(divisors(4)).union(set(divisors(Integer(2)))) + assert S == {1,2,4} + + +def test_issue_4356(): + assert factorint(1030903) == {53: 2, 367: 1} + + +def test_divisors(): + assert divisors(28) == [1, 2, 4, 7, 14, 28] + assert list(divisors(3*5*7, 1)) == [1, 3, 5, 15, 7, 21, 35, 105] + assert divisors(0) == [] + + +def test_divisor_count(): + assert divisor_count(0) == 0 + assert divisor_count(6) == 4 + + +def test_proper_divisors(): + assert proper_divisors(-1) == [] + assert proper_divisors(28) == [1, 2, 4, 7, 14] + assert list(proper_divisors(3*5*7, True)) == [1, 3, 5, 15, 7, 21, 35] + + +def test_proper_divisor_count(): + assert proper_divisor_count(6) == 3 + assert proper_divisor_count(108) == 11 + + +def test_antidivisors(): + assert antidivisors(-1) == [] + assert antidivisors(-3) == [2] + assert antidivisors(14) == [3, 4, 9] + assert antidivisors(237) == [2, 5, 6, 11, 19, 25, 43, 95, 158] + assert antidivisors(12345) == [2, 6, 7, 10, 30, 1646, 3527, 4938, 8230] + assert antidivisors(393216) == [262144] + assert sorted(x for x in antidivisors(3*5*7, 1)) == \ + [2, 6, 10, 11, 14, 19, 30, 42, 70] + assert antidivisors(1) == [] + assert type(antidivisors(2, generator=True)) is not list + +def test_antidivisor_count(): + assert antidivisor_count(0) == 0 + assert antidivisor_count(-1) == 0 + assert antidivisor_count(-4) == 1 + assert antidivisor_count(20) == 3 + assert antidivisor_count(25) == 5 + assert antidivisor_count(38) == 7 + assert antidivisor_count(180) == 6 + assert antidivisor_count(2*3*5) == 3 + + +def test_smoothness_and_smoothness_p(): + assert smoothness(1) == (1, 1) + assert smoothness(2**4*3**2) == (3, 16) + + assert smoothness_p(10431, m=1) == \ + (1, [(3, (2, 2, 4)), (19, (1, 5, 5)), (61, (1, 31, 31))]) + assert smoothness_p(10431) == \ + (-1, [(3, (2, 2, 2)), (19, (1, 3, 9)), (61, (1, 5, 5))]) + assert smoothness_p(10431, power=1) == \ + (-1, [(3, (2, 2, 2)), (61, (1, 5, 5)), (19, (1, 3, 9))]) + assert smoothness_p(21477639576571, visual=1) == \ + 'p**i=4410317**1 has p-1 B=1787, B-pow=1787\n' + \ + 'p**i=4869863**1 has p-1 B=2434931, B-pow=2434931' + + +def test_visual_factorint(): + assert factorint(1, visual=1) == 1 + forty2 = factorint(42, visual=True) + assert type(forty2) == Mul + assert str(forty2) == '2**1*3**1*7**1' + assert factorint(1, visual=True) is S.One + no = {"evaluate": False} + assert factorint(42**2, visual=True) == Mul(Pow(2, 2, **no), + Pow(3, 2, **no), + Pow(7, 2, **no), **no) + assert -1 in factorint(-42, visual=True).args + + +def test_factorrat(): + assert str(factorrat(S(12)/1, visual=True)) == '2**2*3**1' + assert str(factorrat(Rational(1, 1), visual=True)) == '1' + assert str(factorrat(S(25)/14, visual=True)) == '5**2/(2*7)' + assert str(factorrat(Rational(25, 14), visual=True)) == '5**2/(2*7)' + assert str(factorrat(S(-25)/14/9, visual=True)) == '-1*5**2/(2*3**2*7)' + + assert factorrat(S(12)/1, multiple=True) == [2, 2, 3] + assert factorrat(Rational(1, 1), multiple=True) == [] + assert factorrat(S(25)/14, multiple=True) == [Rational(1, 7), S.Half, 5, 5] + assert factorrat(Rational(25, 14), multiple=True) == [Rational(1, 7), S.Half, 5, 5] + assert factorrat(Rational(12, 1), multiple=True) == [2, 2, 3] + assert factorrat(S(-25)/14/9, multiple=True) == \ + [-1, Rational(1, 7), Rational(1, 3), Rational(1, 3), S.Half, 5, 5] + + +def test_visual_io(): + sm = smoothness_p + fi = factorint + # with smoothness_p + n = 124 + d = fi(n) + m = fi(d, visual=True) + t = sm(n) + s = sm(t) + for th in [d, s, t, n, m]: + assert sm(th, visual=True) == s + assert sm(th, visual=1) == s + for th in [d, s, t, n, m]: + assert sm(th, visual=False) == t + assert [sm(th, visual=None) for th in [d, s, t, n, m]] == [s, d, s, t, t] + assert [sm(th, visual=2) for th in [d, s, t, n, m]] == [s, d, s, t, t] + + # with factorint + for th in [d, m, n]: + assert fi(th, visual=True) == m + assert fi(th, visual=1) == m + for th in [d, m, n]: + assert fi(th, visual=False) == d + assert [fi(th, visual=None) for th in [d, m, n]] == [m, d, d] + assert [fi(th, visual=0) for th in [d, m, n]] == [m, d, d] + + # test reevaluation + no = {"evaluate": False} + assert sm({4: 2}, visual=False) == sm(16) + assert sm(Mul(*[Pow(k, v, **no) for k, v in {4: 2, 2: 6}.items()], **no), + visual=False) == sm(2**10) + + assert fi({4: 2}, visual=False) == fi(16) + assert fi(Mul(*[Pow(k, v, **no) for k, v in {4: 2, 2: 6}.items()], **no), + visual=False) == fi(2**10) + + +def test_core(): + assert core(35**13, 10) == 42875 + assert core(210**2) == 1 + assert core(7776, 3) == 36 + assert core(10**27, 22) == 10**5 + assert core(537824) == 14 + assert core(1, 6) == 1 + + +def test__divisor_sigma(): + assert _divisor_sigma(23450) == 50592 + assert _divisor_sigma(23450, 0) == 24 + assert _divisor_sigma(23450, 1) == 50592 + assert _divisor_sigma(23450, 2) == 730747500 + assert _divisor_sigma(23450, 3) == 14666785333344 + A000005 = [1, 2, 2, 3, 2, 4, 2, 4, 3, 4, 2, 6, 2, 4, 4, 5, 2, 6, 2, 6, 4, + 4, 2, 8, 3, 4, 4, 6, 2, 8, 2, 6, 4, 4, 4, 9, 2, 4, 4, 8, 2, 8] + for n, val in enumerate(A000005, 1): + assert _divisor_sigma(n, 0) == val + A000203 = [1, 3, 4, 7, 6, 12, 8, 15, 13, 18, 12, 28, 14, 24, 24, 31, 18, + 39, 20, 42, 32, 36, 24, 60, 31, 42, 40, 56, 30, 72, 32, 63, 48] + for n, val in enumerate(A000203, 1): + assert _divisor_sigma(n, 1) == val + A001157 = [1, 5, 10, 21, 26, 50, 50, 85, 91, 130, 122, 210, 170, 250, 260, + 341, 290, 455, 362, 546, 500, 610, 530, 850, 651, 850, 820, 1050] + for n, val in enumerate(A001157, 1): + assert _divisor_sigma(n, 2) == val + + +def test_mersenne_prime_exponent(): + assert mersenne_prime_exponent(1) == 2 + assert mersenne_prime_exponent(4) == 7 + assert mersenne_prime_exponent(10) == 89 + assert mersenne_prime_exponent(25) == 21701 + raises(ValueError, lambda: mersenne_prime_exponent(52)) + raises(ValueError, lambda: mersenne_prime_exponent(0)) + + +def test_is_perfect(): + assert is_perfect(-6) is False + assert is_perfect(6) is True + assert is_perfect(15) is False + assert is_perfect(28) is True + assert is_perfect(400) is False + assert is_perfect(496) is True + assert is_perfect(8128) is True + assert is_perfect(10000) is False + + +def test_is_abundant(): + assert is_abundant(10) is False + assert is_abundant(12) is True + assert is_abundant(18) is True + assert is_abundant(21) is False + assert is_abundant(945) is True + + +def test_is_deficient(): + assert is_deficient(10) is True + assert is_deficient(22) is True + assert is_deficient(56) is False + assert is_deficient(20) is False + assert is_deficient(36) is False + + +def test_is_amicable(): + assert is_amicable(173, 129) is False + assert is_amicable(220, 284) is True + assert is_amicable(8756, 8756) is False + + +def test_is_carmichael(): + A002997 = [561, 1105, 1729, 2465, 2821, 6601, 8911, 10585, 15841, + 29341, 41041, 46657, 52633, 62745, 63973, 75361, 101101] + for n in range(1, 5000): + assert is_carmichael(n) == (n in A002997) + for n in A002997: + assert is_carmichael(n) + + +def test_find_carmichael_numbers_in_range(): + assert find_carmichael_numbers_in_range(0, 561) == [] + assert find_carmichael_numbers_in_range(561, 562) == [561] + assert find_carmichael_numbers_in_range(561, 1105) == find_carmichael_numbers_in_range(561, 562) + raises(ValueError, lambda: find_carmichael_numbers_in_range(-2, 2)) + raises(ValueError, lambda: find_carmichael_numbers_in_range(22, 2)) + + +def test_find_first_n_carmichaels(): + assert find_first_n_carmichaels(0) == [] + assert find_first_n_carmichaels(1) == [561] + assert find_first_n_carmichaels(2) == [561, 1105] + + +def test_dra(): + assert dra(19, 12) == 8 + assert dra(2718, 10) == 9 + assert dra(0, 22) == 0 + assert dra(23456789, 10) == 8 + raises(ValueError, lambda: dra(24, -2)) + raises(ValueError, lambda: dra(24.2, 5)) + +def test_drm(): + assert drm(19, 12) == 7 + assert drm(2718, 10) == 2 + assert drm(0, 15) == 0 + assert drm(234161, 10) == 6 + raises(ValueError, lambda: drm(24, -2)) + raises(ValueError, lambda: drm(11.6, 9)) + + +def test_deprecated_ntheory_symbolic_functions(): + from sympy.testing.pytest import warns_deprecated_sympy + + with warns_deprecated_sympy(): + assert primenu(3) == 1 + with warns_deprecated_sympy(): + assert primeomega(3) == 1 + with warns_deprecated_sympy(): + assert totient(3) == 2 + with warns_deprecated_sympy(): + assert reduced_totient(3) == 2 + with warns_deprecated_sympy(): + assert divisor_sigma(3) == 4 + with warns_deprecated_sympy(): + assert udivisor_sigma(3) == 4 diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/ntheory/tests/test_generate.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/ntheory/tests/test_generate.py new file mode 100644 index 0000000000000000000000000000000000000000..b0e5918ffefede2e86f3be2b07d6c3a01c02e6e0 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/ntheory/tests/test_generate.py @@ -0,0 +1,285 @@ +from bisect import bisect, bisect_left + +from sympy.functions.combinatorial.numbers import mobius, totient +from sympy.ntheory.generate import (sieve, Sieve) + +from sympy.ntheory import isprime, randprime, nextprime, prevprime, \ + primerange, primepi, prime, primorial, composite, compositepi +from sympy.ntheory.generate import cycle_length, _primepi +from sympy.ntheory.primetest import mr +from sympy.testing.pytest import raises + +def test_prime(): + assert prime(1) == 2 + assert prime(2) == 3 + assert prime(5) == 11 + assert prime(11) == 31 + assert prime(57) == 269 + assert prime(296) == 1949 + assert prime(559) == 4051 + assert prime(3000) == 27449 + assert prime(4096) == 38873 + assert prime(9096) == 94321 + assert prime(25023) == 287341 + assert prime(10000000) == 179424673 # issue #20951 + assert prime(99999999) == 2038074739 + raises(ValueError, lambda: prime(0)) + sieve.extend(3000) + assert prime(401) == 2749 + raises(ValueError, lambda: prime(-1)) + + +def test__primepi(): + assert _primepi(-1) == 0 + assert _primepi(1) == 0 + assert _primepi(2) == 1 + assert _primepi(5) == 3 + assert _primepi(11) == 5 + assert _primepi(57) == 16 + assert _primepi(296) == 62 + assert _primepi(559) == 102 + assert _primepi(3000) == 430 + assert _primepi(4096) == 564 + assert _primepi(9096) == 1128 + assert _primepi(25023) == 2763 + assert _primepi(10**8) == 5761455 + assert _primepi(253425253) == 13856396 + assert _primepi(8769575643) == 401464322 + sieve.extend(3000) + assert _primepi(2000) == 303 + + +def test_composite(): + from sympy.ntheory.generate import sieve + sieve._reset() + assert composite(1) == 4 + assert composite(2) == 6 + assert composite(5) == 10 + assert composite(11) == 20 + assert composite(41) == 58 + assert composite(57) == 80 + assert composite(296) == 370 + assert composite(559) == 684 + assert composite(3000) == 3488 + assert composite(4096) == 4736 + assert composite(9096) == 10368 + assert composite(25023) == 28088 + sieve.extend(3000) + assert composite(1957) == 2300 + assert composite(2568) == 2998 + raises(ValueError, lambda: composite(0)) + + +def test_compositepi(): + assert compositepi(1) == 0 + assert compositepi(2) == 0 + assert compositepi(5) == 1 + assert compositepi(11) == 5 + assert compositepi(57) == 40 + assert compositepi(296) == 233 + assert compositepi(559) == 456 + assert compositepi(3000) == 2569 + assert compositepi(4096) == 3531 + assert compositepi(9096) == 7967 + assert compositepi(25023) == 22259 + assert compositepi(10**8) == 94238544 + assert compositepi(253425253) == 239568856 + assert compositepi(8769575643) == 8368111320 + sieve.extend(3000) + assert compositepi(2321) == 1976 + + +def test_generate(): + from sympy.ntheory.generate import sieve + sieve._reset() + assert nextprime(-4) == 2 + assert nextprime(2) == 3 + assert nextprime(5) == 7 + assert nextprime(12) == 13 + assert prevprime(3) == 2 + assert prevprime(7) == 5 + assert prevprime(13) == 11 + assert prevprime(19) == 17 + assert prevprime(20) == 19 + + sieve.extend_to_no(9) + assert sieve._list[-1] == 23 + + assert sieve._list[-1] < 31 + assert 31 in sieve + + assert nextprime(90) == 97 + assert nextprime(10**40) == (10**40 + 121) + primelist = [2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, + 37, 41, 43, 47, 53, 59, 61, 67, 71, 73, + 79, 83, 89, 97, 101, 103, 107, 109, 113, + 127, 131, 137, 139, 149, 151, 157, 163, + 167, 173, 179, 181, 191, 193, 197, 199, + 211, 223, 227, 229, 233, 239, 241, 251, + 257, 263, 269, 271, 277, 281, 283, 293] + for i in range(len(primelist) - 2): + for j in range(2, len(primelist) - i): + assert nextprime(primelist[i], j) == primelist[i + j] + if 3 < i: + assert nextprime(primelist[i] - 1, j) == primelist[i + j - 1] + raises(ValueError, lambda: nextprime(2, 0)) + raises(ValueError, lambda: nextprime(2, -1)) + assert prevprime(97) == 89 + assert prevprime(10**40) == (10**40 - 17) + + raises(ValueError, lambda: Sieve(0)) + raises(ValueError, lambda: Sieve(-1)) + for sieve_interval in [1, 10, 11, 1_000_000]: + s = Sieve(sieve_interval=sieve_interval) + for head in range(s._list[-1] + 1, (s._list[-1] + 1)**2, 2): + for tail in range(head + 1, (s._list[-1] + 1)**2): + A = list(s._primerange(head, tail)) + B = primelist[bisect(primelist, head):bisect_left(primelist, tail)] + assert A == B + for k in range(s._list[-1], primelist[-1] - 1, 2): + s = Sieve(sieve_interval=sieve_interval) + s.extend(k) + assert list(s._list) == primelist[:bisect(primelist, k)] + s.extend(primelist[-1]) + assert list(s._list) == primelist + + assert list(sieve.primerange(10, 1)) == [] + assert list(sieve.primerange(5, 9)) == [5, 7] + sieve._reset(prime=True) + assert list(sieve.primerange(2, 13)) == [2, 3, 5, 7, 11] + assert list(sieve.primerange(13)) == [2, 3, 5, 7, 11] + assert list(sieve.primerange(8)) == [2, 3, 5, 7] + assert list(sieve.primerange(-2)) == [] + assert list(sieve.primerange(29)) == [2, 3, 5, 7, 11, 13, 17, 19, 23] + assert list(sieve.primerange(34)) == [2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31] + + assert list(sieve.totientrange(5, 15)) == [4, 2, 6, 4, 6, 4, 10, 4, 12, 6] + sieve._reset(totient=True) + assert list(sieve.totientrange(3, 13)) == [2, 2, 4, 2, 6, 4, 6, 4, 10, 4] + assert list(sieve.totientrange(900, 1000)) == [totient(x) for x in range(900, 1000)] + assert list(sieve.totientrange(0, 1)) == [] + assert list(sieve.totientrange(1, 2)) == [1] + + assert list(sieve.mobiusrange(5, 15)) == [-1, 1, -1, 0, 0, 1, -1, 0, -1, 1] + sieve._reset(mobius=True) + assert list(sieve.mobiusrange(3, 13)) == [-1, 0, -1, 1, -1, 0, 0, 1, -1, 0] + assert list(sieve.mobiusrange(1050, 1100)) == [mobius(x) for x in range(1050, 1100)] + assert list(sieve.mobiusrange(0, 1)) == [] + assert list(sieve.mobiusrange(1, 2)) == [1] + + assert list(primerange(10, 1)) == [] + assert list(primerange(2, 7)) == [2, 3, 5] + assert list(primerange(2, 10)) == [2, 3, 5, 7] + assert list(primerange(1050, 1100)) == [1051, 1061, + 1063, 1069, 1087, 1091, 1093, 1097] + s = Sieve() + for i in range(30, 2350, 376): + for j in range(2, 5096, 1139): + A = list(s.primerange(i, i + j)) + B = list(primerange(i, i + j)) + assert A == B + s = Sieve() + sieve._reset(prime=True) + sieve.extend(13) + for i in range(200): + for j in range(i, 200): + A = list(s.primerange(i, j)) + B = list(primerange(i, j)) + assert A == B + sieve.extend(1000) + for a, b in [(901, 1103), # a < 1000 < b < 1000**2 + (806, 1002007), # a < 1000 < 1000**2 < b + (2000, 30001), # 1000 < a < b < 1000**2 + (100005, 1010001), # 1000 < a < 1000**2 < b + (1003003, 1005000), # 1000**2 < a < b + ]: + assert list(primerange(a, b)) == list(s.primerange(a, b)) + sieve._reset(prime=True) + sieve.extend(100000) + assert len(sieve._list) == len(set(sieve._list)) + s = Sieve() + assert s[10] == 29 + + assert nextprime(2, 2) == 5 + + raises(ValueError, lambda: totient(0)) + + raises(ValueError, lambda: primorial(0)) + + assert mr(1, [2]) is False + + func = lambda i: (i**2 + 1) % 51 + assert next(cycle_length(func, 4)) == (6, 3) + assert list(cycle_length(func, 4, values=True)) == \ + [4, 17, 35, 2, 5, 26, 14, 44, 50, 2, 5, 26, 14] + assert next(cycle_length(func, 4, nmax=5)) == (5, None) + assert list(cycle_length(func, 4, nmax=5, values=True)) == \ + [4, 17, 35, 2, 5] + sieve.extend(3000) + assert nextprime(2968) == 2969 + assert prevprime(2930) == 2927 + raises(ValueError, lambda: prevprime(1)) + raises(ValueError, lambda: prevprime(-4)) + + +def test_randprime(): + assert randprime(10, 1) is None + assert randprime(3, -3) is None + assert randprime(2, 3) == 2 + assert randprime(1, 3) == 2 + assert randprime(3, 5) == 3 + raises(ValueError, lambda: randprime(-12, -2)) + raises(ValueError, lambda: randprime(-10, 0)) + raises(ValueError, lambda: randprime(20, 22)) + raises(ValueError, lambda: randprime(0, 2)) + raises(ValueError, lambda: randprime(1, 2)) + for a in [100, 300, 500, 250000]: + for b in [100, 300, 500, 250000]: + p = randprime(a, a + b) + assert a <= p < (a + b) and isprime(p) + + +def test_primorial(): + assert primorial(1) == 2 + assert primorial(1, nth=0) == 1 + assert primorial(2) == 6 + assert primorial(2, nth=0) == 2 + assert primorial(4, nth=0) == 6 + + +def test_search(): + assert 2 in sieve + assert 2.1 not in sieve + assert 1 not in sieve + assert 2**1000 not in sieve + raises(ValueError, lambda: sieve.search(1)) + + +def test_sieve_slice(): + assert sieve[5] == 11 + assert list(sieve[5:10]) == [sieve[x] for x in range(5, 10)] + assert list(sieve[5:10:2]) == [sieve[x] for x in range(5, 10, 2)] + assert list(sieve[1:5]) == [2, 3, 5, 7] + raises(IndexError, lambda: sieve[:5]) + raises(IndexError, lambda: sieve[0]) + raises(IndexError, lambda: sieve[0:5]) + +def test_sieve_iter(): + values = [] + for value in sieve: + if value > 7: + break + values.append(value) + assert values == list(sieve[1:5]) + + +def test_sieve_repr(): + assert "sieve" in repr(sieve) + assert "prime" in repr(sieve) + + +def test_deprecated_ntheory_symbolic_functions(): + from sympy.testing.pytest import warns_deprecated_sympy + + with warns_deprecated_sympy(): + assert primepi(0) == 0 diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/ntheory/tests/test_hypothesis.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/ntheory/tests/test_hypothesis.py new file mode 100644 index 0000000000000000000000000000000000000000..a8f4cbecdbb7a6b15b0e323700cda11039c968fb --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/ntheory/tests/test_hypothesis.py @@ -0,0 +1,24 @@ +from hypothesis import given +from hypothesis import strategies as st +from sympy import divisors +from sympy.functions.combinatorial.numbers import divisor_sigma, totient +from sympy.ntheory.primetest import is_square + + +@given(n=st.integers(1, 10**10)) +def test_tau_hypothesis(n): + div = divisors(n) + tau_n = len(div) + assert is_square(n) == (tau_n % 2 == 1) + sigmas = [divisor_sigma(i) for i in div] + totients = [totient(n // i) for i in div] + mul = [a * b for a, b in zip(sigmas, totients)] + assert n * tau_n == sum(mul) + + +@given(n=st.integers(1, 10**10)) +def test_totient_hypothesis(n): + assert totient(n) <= n + div = divisors(n) + totients = [totient(i) for i in div] + assert n == sum(totients) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/ntheory/tests/test_modular.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/ntheory/tests/test_modular.py new file mode 100644 index 0000000000000000000000000000000000000000..10ebb1d3d3bdf5f736a6229579ae4c42a805745e --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/ntheory/tests/test_modular.py @@ -0,0 +1,34 @@ +from sympy.ntheory.modular import crt, crt1, crt2, solve_congruence +from sympy.testing.pytest import raises + + +def test_crt(): + def mcrt(m, v, r, symmetric=False): + assert crt(m, v, symmetric)[0] == r + mm, e, s = crt1(m) + assert crt2(m, v, mm, e, s, symmetric) == (r, mm) + + mcrt([2, 3, 5], [0, 0, 0], 0) + mcrt([2, 3, 5], [1, 1, 1], 1) + + mcrt([2, 3, 5], [-1, -1, -1], -1, True) + mcrt([2, 3, 5], [-1, -1, -1], 2*3*5 - 1, False) + + assert crt([656, 350], [811, 133], symmetric=True) == (-56917, 114800) + + +def test_modular(): + assert solve_congruence(*list(zip([3, 4, 2], [12, 35, 17]))) == (1719, 7140) + assert solve_congruence(*list(zip([3, 4, 2], [12, 6, 17]))) is None + assert solve_congruence(*list(zip([3, 4, 2], [13, 7, 17]))) == (172, 1547) + assert solve_congruence(*list(zip([-10, -3, -15], [13, 7, 17]))) == (172, 1547) + assert solve_congruence(*list(zip([-10, -3, 1, -15], [13, 7, 7, 17]))) is None + assert solve_congruence( + *list(zip([-10, -5, 2, -15], [13, 7, 7, 17]))) == (835, 1547) + assert solve_congruence( + *list(zip([-10, -5, 2, -15], [13, 7, 14, 17]))) == (2382, 3094) + assert solve_congruence( + *list(zip([-10, 2, 2, -15], [13, 7, 14, 17]))) == (2382, 3094) + assert solve_congruence(*list(zip((1, 1, 2), (3, 2, 4)))) is None + raises( + ValueError, lambda: solve_congruence(*list(zip([3, 4, 2], [12.1, 35, 17])))) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/ntheory/tests/test_multinomial.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/ntheory/tests/test_multinomial.py new file mode 100644 index 0000000000000000000000000000000000000000..b455c5cc979b9ba9756c9da88c1694471115cd5d --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/ntheory/tests/test_multinomial.py @@ -0,0 +1,48 @@ +from sympy.ntheory.multinomial import (binomial_coefficients, binomial_coefficients_list, multinomial_coefficients) +from sympy.ntheory.multinomial import multinomial_coefficients_iterator + + +def test_binomial_coefficients_list(): + assert binomial_coefficients_list(0) == [1] + assert binomial_coefficients_list(1) == [1, 1] + assert binomial_coefficients_list(2) == [1, 2, 1] + assert binomial_coefficients_list(3) == [1, 3, 3, 1] + assert binomial_coefficients_list(4) == [1, 4, 6, 4, 1] + assert binomial_coefficients_list(5) == [1, 5, 10, 10, 5, 1] + assert binomial_coefficients_list(6) == [1, 6, 15, 20, 15, 6, 1] + + +def test_binomial_coefficients(): + for n in range(15): + c = binomial_coefficients(n) + l = [c[k] for k in sorted(c)] + assert l == binomial_coefficients_list(n) + + +def test_multinomial_coefficients(): + assert multinomial_coefficients(1, 1) == {(1,): 1} + assert multinomial_coefficients(1, 2) == {(2,): 1} + assert multinomial_coefficients(1, 3) == {(3,): 1} + assert multinomial_coefficients(2, 0) == {(0, 0): 1} + assert multinomial_coefficients(2, 1) == {(0, 1): 1, (1, 0): 1} + assert multinomial_coefficients(2, 2) == {(2, 0): 1, (0, 2): 1, (1, 1): 2} + assert multinomial_coefficients(2, 3) == {(3, 0): 1, (1, 2): 3, (0, 3): 1, + (2, 1): 3} + assert multinomial_coefficients(3, 1) == {(1, 0, 0): 1, (0, 1, 0): 1, + (0, 0, 1): 1} + assert multinomial_coefficients(3, 2) == {(0, 1, 1): 2, (0, 0, 2): 1, + (1, 1, 0): 2, (0, 2, 0): 1, (1, 0, 1): 2, (2, 0, 0): 1} + mc = multinomial_coefficients(3, 3) + assert mc == {(2, 1, 0): 3, (0, 3, 0): 1, + (1, 0, 2): 3, (0, 2, 1): 3, (0, 1, 2): 3, (3, 0, 0): 1, + (2, 0, 1): 3, (1, 2, 0): 3, (1, 1, 1): 6, (0, 0, 3): 1} + assert dict(multinomial_coefficients_iterator(2, 0)) == {(0, 0): 1} + assert dict( + multinomial_coefficients_iterator(2, 1)) == {(0, 1): 1, (1, 0): 1} + assert dict(multinomial_coefficients_iterator(2, 2)) == \ + {(2, 0): 1, (0, 2): 1, (1, 1): 2} + assert dict(multinomial_coefficients_iterator(3, 3)) == mc + it = multinomial_coefficients_iterator(7, 2) + assert [next(it) for i in range(4)] == \ + [((2, 0, 0, 0, 0, 0, 0), 1), ((1, 1, 0, 0, 0, 0, 0), 2), + ((0, 2, 0, 0, 0, 0, 0), 1), ((1, 0, 1, 0, 0, 0, 0), 2)] diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/ntheory/tests/test_partitions.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/ntheory/tests/test_partitions.py new file mode 100644 index 0000000000000000000000000000000000000000..8eb7fad3445068ae7ae4033c76c808e3c87347b6 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/ntheory/tests/test_partitions.py @@ -0,0 +1,28 @@ +from sympy.ntheory.partitions_ import npartitions, _partition_rec, _partition + + +def test__partition_rec(): + A000041 = [1, 1, 2, 3, 5, 7, 11, 15, 22, 30, 42, 56, 77, 101, 135, + 176, 231, 297, 385, 490, 627, 792, 1002, 1255, 1575] + for n, val in enumerate(A000041): + assert _partition_rec(n) == val + + +def test__partition(): + assert [_partition(k) for k in range(13)] == \ + [1, 1, 2, 3, 5, 7, 11, 15, 22, 30, 42, 56, 77] + assert _partition(100) == 190569292 + assert _partition(200) == 3972999029388 + assert _partition(1000) == 24061467864032622473692149727991 + assert _partition(1001) == 25032297938763929621013218349796 + assert _partition(2000) == 4720819175619413888601432406799959512200344166 + assert _partition(10000) % 10**10 == 6916435144 + assert _partition(100000) % 10**10 == 9421098519 + assert _partition(10000000) % 10**10 == 7677288980 + + +def test_deprecated_ntheory_symbolic_functions(): + from sympy.testing.pytest import warns_deprecated_sympy + + with warns_deprecated_sympy(): + assert npartitions(0) == 1 diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/ntheory/tests/test_primetest.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/ntheory/tests/test_primetest.py new file mode 100644 index 0000000000000000000000000000000000000000..8a56332941d9421bda4d6acc1e4b3406617cee2b --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/ntheory/tests/test_primetest.py @@ -0,0 +1,235 @@ +from math import gcd + +from sympy.ntheory.generate import Sieve, sieve +from sympy.ntheory.primetest import (mr, _lucas_extrastrong_params, is_lucas_prp, is_square, + is_strong_lucas_prp, is_extra_strong_lucas_prp, + proth_test, isprime, is_euler_pseudoprime, + is_gaussian_prime, is_fermat_pseudoprime, is_euler_jacobi_pseudoprime, + MERSENNE_PRIME_EXPONENTS, _lucas_lehmer_primality_test, + is_mersenne_prime) + +from sympy.testing.pytest import slow, raises +from sympy.core.numbers import I, Float + + +def test_is_fermat_pseudoprime(): + assert is_fermat_pseudoprime(5, 1) + assert is_fermat_pseudoprime(9, 1) + + +def test_euler_pseudoprimes(): + assert is_euler_pseudoprime(13, 1) + assert is_euler_pseudoprime(15, 1) + assert is_euler_pseudoprime(17, 6) + assert is_euler_pseudoprime(101, 7) + assert is_euler_pseudoprime(1009, 10) + assert is_euler_pseudoprime(11287, 41) + + raises(ValueError, lambda: is_euler_pseudoprime(0, 4)) + raises(ValueError, lambda: is_euler_pseudoprime(3, 0)) + raises(ValueError, lambda: is_euler_pseudoprime(15, 6)) + + # A006970 + euler_prp = [341, 561, 1105, 1729, 1905, 2047, 2465, 3277, + 4033, 4681, 5461, 6601, 8321, 8481, 10261, 10585] + for p in euler_prp: + assert is_euler_pseudoprime(p, 2) + + # A048950 + euler_prp = [121, 703, 1729, 1891, 2821, 3281, 7381, 8401, 8911, 10585, + 12403, 15457, 15841, 16531, 18721, 19345, 23521, 24661, 28009] + for p in euler_prp: + assert is_euler_pseudoprime(p, 3) + + # A033181 + absolute_euler_prp = [1729, 2465, 15841, 41041, 46657, 75361, + 162401, 172081, 399001, 449065, 488881] + for p in absolute_euler_prp: + for a in range(2, p): + if gcd(a, p) != 1: + continue + assert is_euler_pseudoprime(p, a) + + +def test_is_euler_jacobi_pseudoprime(): + assert is_euler_jacobi_pseudoprime(11, 1) + assert is_euler_jacobi_pseudoprime(15, 1) + + +def test_lucas_extrastrong_params(): + assert _lucas_extrastrong_params(3) == (5, 3, 1) + assert _lucas_extrastrong_params(5) == (12, 4, 1) + assert _lucas_extrastrong_params(7) == (5, 3, 1) + assert _lucas_extrastrong_params(9) == (0, 0, 0) + assert _lucas_extrastrong_params(11) == (21, 5, 1) + assert _lucas_extrastrong_params(59) == (32, 6, 1) + assert _lucas_extrastrong_params(479) == (117, 11, 1) + + +def test_is_extra_strong_lucas_prp(): + assert is_extra_strong_lucas_prp(4) == False + assert is_extra_strong_lucas_prp(989) == True + assert is_extra_strong_lucas_prp(10877) == True + assert is_extra_strong_lucas_prp(9) == False + assert is_extra_strong_lucas_prp(16) == False + assert is_extra_strong_lucas_prp(169) == False + +@slow +def test_prps(): + oddcomposites = [n for n in range(1, 10**5) if + n % 2 and not isprime(n)] + # A checksum would be better. + assert sum(oddcomposites) == 2045603465 + assert [n for n in oddcomposites if mr(n, [2])] == [ + 2047, 3277, 4033, 4681, 8321, 15841, 29341, 42799, 49141, + 52633, 65281, 74665, 80581, 85489, 88357, 90751] + assert [n for n in oddcomposites if mr(n, [3])] == [ + 121, 703, 1891, 3281, 8401, 8911, 10585, 12403, 16531, + 18721, 19345, 23521, 31621, 44287, 47197, 55969, 63139, + 74593, 79003, 82513, 87913, 88573, 97567] + assert [n for n in oddcomposites if mr(n, [325])] == [ + 9, 25, 27, 49, 65, 81, 325, 341, 343, 697, 1141, 2059, + 2149, 3097, 3537, 4033, 4681, 4941, 5833, 6517, 7987, 8911, + 12403, 12913, 15043, 16021, 20017, 22261, 23221, 24649, + 24929, 31841, 35371, 38503, 43213, 44173, 47197, 50041, + 55909, 56033, 58969, 59089, 61337, 65441, 68823, 72641, + 76793, 78409, 85879] + assert not any(mr(n, [9345883071009581737]) for n in oddcomposites) + assert [n for n in oddcomposites if is_lucas_prp(n)] == [ + 323, 377, 1159, 1829, 3827, 5459, 5777, 9071, 9179, 10877, + 11419, 11663, 13919, 14839, 16109, 16211, 18407, 18971, + 19043, 22499, 23407, 24569, 25199, 25877, 26069, 27323, + 32759, 34943, 35207, 39059, 39203, 39689, 40309, 44099, + 46979, 47879, 50183, 51983, 53663, 56279, 58519, 60377, + 63881, 69509, 72389, 73919, 75077, 77219, 79547, 79799, + 82983, 84419, 86063, 90287, 94667, 97019, 97439] + assert [n for n in oddcomposites if is_strong_lucas_prp(n)] == [ + 5459, 5777, 10877, 16109, 18971, 22499, 24569, 25199, 40309, + 58519, 75077, 97439] + assert [n for n in oddcomposites if is_extra_strong_lucas_prp(n) + ] == [ + 989, 3239, 5777, 10877, 27971, 29681, 30739, 31631, 39059, + 72389, 73919, 75077] + + +def test_proth_test(): + # Proth number + A080075 = [3, 5, 9, 13, 17, 25, 33, 41, 49, 57, 65, + 81, 97, 113, 129, 145, 161, 177, 193] + # Proth prime + A080076 = [3, 5, 13, 17, 41, 97, 113, 193] + + for n in range(200): + if n in A080075: + assert proth_test(n) == (n in A080076) + else: + raises(ValueError, lambda: proth_test(n)) + + +def test_lucas_lehmer_primality_test(): + for p in sieve.primerange(3, 100): + assert _lucas_lehmer_primality_test(p) == (p in MERSENNE_PRIME_EXPONENTS) + + +def test_is_mersenne_prime(): + assert is_mersenne_prime(-3) is False + assert is_mersenne_prime(3) is True + assert is_mersenne_prime(10) is False + assert is_mersenne_prime(127) is True + assert is_mersenne_prime(511) is False + assert is_mersenne_prime(131071) is True + assert is_mersenne_prime(2147483647) is True + + +def test_isprime(): + s = Sieve() + s.extend(100000) + ps = set(s.primerange(2, 100001)) + for n in range(100001): + # if (n in ps) != isprime(n): print n + assert (n in ps) == isprime(n) + assert isprime(179424673) + assert isprime(20678048681) + assert isprime(1968188556461) + assert isprime(2614941710599) + assert isprime(65635624165761929287) + assert isprime(1162566711635022452267983) + assert isprime(77123077103005189615466924501) + assert isprime(3991617775553178702574451996736229) + assert isprime(273952953553395851092382714516720001799) + assert isprime(int(''' +531137992816767098689588206552468627329593117727031923199444138200403\ +559860852242739162502265229285668889329486246501015346579337652707239\ +409519978766587351943831270835393219031728127''')) + + # Some Mersenne primes + assert isprime(2**61 - 1) + assert isprime(2**89 - 1) + assert isprime(2**607 - 1) + # (but not all Mersenne's are primes + assert not isprime(2**601 - 1) + + # pseudoprimes + #------------- + # to some small bases + assert not isprime(2152302898747) + assert not isprime(3474749660383) + assert not isprime(341550071728321) + assert not isprime(3825123056546413051) + # passes the base set [2, 3, 7, 61, 24251] + assert not isprime(9188353522314541) + # large examples + assert not isprime(877777777777777777777777) + # conjectured psi_12 given at http://mathworld.wolfram.com/StrongPseudoprime.html + assert not isprime(318665857834031151167461) + # conjectured psi_17 given at http://mathworld.wolfram.com/StrongPseudoprime.html + assert not isprime(564132928021909221014087501701) + # Arnault's 1993 number; a factor of it is + # 400958216639499605418306452084546853005188166041132508774506\ + # 204738003217070119624271622319159721973358216316508535816696\ + # 9145233813917169287527980445796800452592031836601 + assert not isprime(int(''' +803837457453639491257079614341942108138837688287558145837488917522297\ +427376533365218650233616396004545791504202360320876656996676098728404\ +396540823292873879185086916685732826776177102938969773947016708230428\ +687109997439976544144845341155872450633409279022275296229414984230688\ +1685404326457534018329786111298960644845216191652872597534901''')) + # Arnault's 1995 number; can be factored as + # p1*(313*(p1 - 1) + 1)*(353*(p1 - 1) + 1) where p1 is + # 296744956686855105501541746429053327307719917998530433509950\ + # 755312768387531717701995942385964281211880336647542183455624\ + # 93168782883 + assert not isprime(int(''' +288714823805077121267142959713039399197760945927972270092651602419743\ +230379915273311632898314463922594197780311092934965557841894944174093\ +380561511397999942154241693397290542371100275104208013496673175515285\ +922696291677532547504444585610194940420003990443211677661994962953925\ +045269871932907037356403227370127845389912612030924484149472897688540\ +6024976768122077071687938121709811322297802059565867''')) + sieve.extend(3000) + assert isprime(2819) + assert not isprime(2931) + raises(ValueError, lambda: isprime(2.0)) + raises(ValueError, lambda: isprime(Float(2))) + + +def test_is_square(): + assert [i for i in range(25) if is_square(i)] == [0, 1, 4, 9, 16] + + # issue #17044 + assert not is_square(60 ** 3) + assert not is_square(60 ** 5) + assert not is_square(84 ** 7) + assert not is_square(105 ** 9) + assert not is_square(120 ** 3) + +def test_is_gaussianprime(): + assert is_gaussian_prime(7*I) + assert is_gaussian_prime(7) + assert is_gaussian_prime(2 + 3*I) + assert not is_gaussian_prime(2 + 2*I) + + +def test_issue_27145(): + #https://github.com/sympy/sympy/issues/27145 + assert [mr(i,[2,3,5,7]) for i in (1, 2, 6)] == [False, True, False] diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/ntheory/tests/test_qs.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/ntheory/tests/test_qs.py new file mode 100644 index 0000000000000000000000000000000000000000..16932dd61badf4a467e67fa52e0f473594fd057b --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/ntheory/tests/test_qs.py @@ -0,0 +1,110 @@ +from __future__ import annotations + +import math +from sympy.core.random import _randint +from sympy.ntheory import qs, qs_factor +from sympy.ntheory.qs import SievePolynomial, _generate_factor_base, \ + _generate_polynomial, \ + _gen_sieve_array, _check_smoothness, _trial_division_stage, _find_factor +from sympy.testing.pytest import slow + + +@slow +def test_qs_1(): + assert qs(10009202107, 100, 10000) == {100043, 100049} + assert qs(211107295182713951054568361, 1000, 10000) == \ + {13791315212531, 15307263442931} + assert qs(980835832582657*990377764891511, 2000, 10000) == \ + {980835832582657, 990377764891511} + assert qs(18640889198609*20991129234731, 1000, 50000) == \ + {18640889198609, 20991129234731} + + +def test_qs_2() -> None: + n = 10009202107 + M = 50 + sieve_poly = SievePolynomial(10, 80, n) + assert sieve_poly.eval_v(10) == sieve_poly.eval_u(10)**2 - n == -10009169707 + assert sieve_poly.eval_v(5) == sieve_poly.eval_u(5)**2 - n == -10009185207 + + idx_1000, idx_5000, factor_base = _generate_factor_base(2000, n) + assert idx_1000 == 82 + assert [factor_base[i].prime for i in range(15)] == \ + [2, 3, 7, 11, 17, 19, 29, 31, 43, 59, 61, 67, 71, 73, 79] + assert [factor_base[i].tmem_p for i in range(15)] == \ + [1, 1, 3, 5, 3, 6, 6, 14, 1, 16, 24, 22, 18, 22, 15] + assert [factor_base[i].log_p for i in range(5)] == \ + [710, 1125, 1993, 2455, 2901] + + it = _generate_polynomial( + n, M, factor_base, idx_1000, idx_5000, _randint(0)) + g = next(it) + assert g.a == 1133107 + assert g.b == 682543 + assert [factor_base[i].soln1 for i in range(15)] == \ + [0, 0, 3, 7, 13, 0, 8, 19, 9, 43, 27, 25, 63, 29, 19] + assert [factor_base[i].soln2 for i in range(15)] == \ + [0, 1, 1, 3, 12, 16, 15, 6, 15, 1, 56, 55, 61, 58, 16] + assert [factor_base[i].b_ainv for i in range(5)] == \ + [[0, 0], [0, 2], [3, 0], [3, 9], [13, 13]] + + g_1 = next(it) + assert g_1.a == 1133107 + assert g_1.b == 136765 + + sieve_array = _gen_sieve_array(M, factor_base) + assert sieve_array[0:5] == [8424, 13603, 1835, 5335, 710] + + assert _check_smoothness(9645, factor_base) == (36028797018963972, 5) + assert _check_smoothness(210313, factor_base) == (20992, 1) + + partial_relations: dict[int, tuple[int, int]] = {} + smooth_relation, proper_factor = _trial_division_stage( + n, M, factor_base, sieve_array, sieve_poly, partial_relations, + ERROR_TERM=25*2**10) + + assert partial_relations == { + 8699: (440, -10009008507, 75557863761098695507973), + 166741: (490, -10008962007, 524341), + 131449: (530, -10008921207, 664613997892457936451903530140172325), + 6653: (550, -10008899607, 19342813113834066795307021) + } + assert [smooth_relation[i][0] for i in range(5)] == [ + -250, 1064469, 72819, 231957, 44167] + assert [smooth_relation[i][1] for i in range(5)] == [ + -10009139607, 1133094251961, 5302606761, 53804049849, 1950723889] + assert smooth_relation[0][2] == 89213869829863962596973701078031812362502145 + assert proper_factor == set() + + +def test_qs_3(): + N = 1817 + smooth_relations = [ + (2455024, 637, 8), + (-27993000, 81536, 10), + (11461840, 12544, 0), + (149, 20384, 10), + (-31138074, 19208, 2) + ] + assert next(_find_factor(N, smooth_relations, 4)) == 23 + + +def test_qs_4(): + N = 10007**2 * 10009 * 10037**3 * 10039 + for factor in qs(N, 1000, 2000): + assert N % factor == 0 + N //= factor + + +def test_qs_factor(): + assert qs_factor(1009 * 100003, 2000, 10000) == {1009: 1, 100003: 1} + n = 1009**2 * 2003**2*30011*400009 + factors = qs_factor(n, 2000, 10000) + assert len(factors) > 1 + assert math.prod(p**e for p, e in factors.items()) == n + + +def test_issue_27616(): + #https://github.com/sympy/sympy/issues/27616 + N = 9804659461513846513 + 1 + assert qs(N, 5000, 20000) is not None diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/ntheory/tests/test_residue.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/ntheory/tests/test_residue.py new file mode 100644 index 0000000000000000000000000000000000000000..4d530905f39b88d8d7cc0e861ac6eadb2fa6f98a --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/ntheory/tests/test_residue.py @@ -0,0 +1,349 @@ +from collections import defaultdict +from sympy.core.containers import Tuple +from sympy.core.singleton import S +from sympy.core.symbol import (Dummy, Symbol) +from sympy.functions.combinatorial.numbers import totient +from sympy.ntheory import n_order, is_primitive_root, is_quad_residue, \ + legendre_symbol, jacobi_symbol, primerange, sqrt_mod, \ + primitive_root, quadratic_residues, is_nthpow_residue, nthroot_mod, \ + sqrt_mod_iter, mobius, discrete_log, quadratic_congruence, \ + polynomial_congruence, sieve +from sympy.ntheory.residue_ntheory import _primitive_root_prime_iter, \ + _primitive_root_prime_power_iter, _primitive_root_prime_power2_iter, \ + _nthroot_mod_prime_power, _discrete_log_trial_mul, _discrete_log_shanks_steps, \ + _discrete_log_pollard_rho, _discrete_log_index_calculus, _discrete_log_pohlig_hellman, \ + _binomial_mod_prime_power, binomial_mod +from sympy.polys.domains import ZZ +from sympy.testing.pytest import raises +from sympy.core.random import randint, choice + + +def test_residue(): + assert n_order(2, 13) == 12 + assert [n_order(a, 7) for a in range(1, 7)] == \ + [1, 3, 6, 3, 6, 2] + assert n_order(5, 17) == 16 + assert n_order(17, 11) == n_order(6, 11) + assert n_order(101, 119) == 6 + assert n_order(11, (10**50 + 151)**2) == 10000000000000000000000000000000000000000000000030100000000000000000000000000000000000000000000022650 + raises(ValueError, lambda: n_order(6, 9)) + + assert is_primitive_root(2, 7) is False + assert is_primitive_root(3, 8) is False + assert is_primitive_root(11, 14) is False + assert is_primitive_root(12, 17) == is_primitive_root(29, 17) + raises(ValueError, lambda: is_primitive_root(3, 6)) + + for p in primerange(3, 100): + li = list(_primitive_root_prime_iter(p)) + assert li[0] == min(li) + for g in li: + assert n_order(g, p) == p - 1 + assert len(li) == totient(totient(p)) + for e in range(1, 4): + li_power = list(_primitive_root_prime_power_iter(p, e)) + li_power2 = list(_primitive_root_prime_power2_iter(p, e)) + assert len(li_power) == len(li_power2) == totient(totient(p**e)) + assert primitive_root(97) == 5 + assert n_order(primitive_root(97, False), 97) == totient(97) + assert primitive_root(97**2) == 5 + assert n_order(primitive_root(97**2, False), 97**2) == totient(97**2) + assert primitive_root(40487) == 5 + assert n_order(primitive_root(40487, False), 40487) == totient(40487) + # note that primitive_root(40487) + 40487 = 40492 is a primitive root + # of 40487**2, but it is not the smallest + assert primitive_root(40487**2) == 10 + assert n_order(primitive_root(40487**2, False), 40487**2) == totient(40487**2) + assert primitive_root(82) == 7 + assert n_order(primitive_root(82, False), 82) == totient(82) + p = 10**50 + 151 + assert primitive_root(p) == 11 + assert n_order(primitive_root(p, False), p) == totient(p) + assert primitive_root(2*p) == 11 + assert n_order(primitive_root(2*p, False), 2*p) == totient(2*p) + assert primitive_root(p**2) == 11 + assert n_order(primitive_root(p**2, False), p**2) == totient(p**2) + assert primitive_root(4 * 11) is None and primitive_root(4 * 11, False) is None + assert primitive_root(15) is None and primitive_root(15, False) is None + raises(ValueError, lambda: primitive_root(-3)) + + assert is_quad_residue(3, 7) is False + assert is_quad_residue(10, 13) is True + assert is_quad_residue(12364, 139) == is_quad_residue(12364 % 139, 139) + assert is_quad_residue(207, 251) is True + assert is_quad_residue(0, 1) is True + assert is_quad_residue(1, 1) is True + assert is_quad_residue(0, 2) == is_quad_residue(1, 2) is True + assert is_quad_residue(1, 4) is True + assert is_quad_residue(2, 27) is False + assert is_quad_residue(13122380800, 13604889600) is True + assert [j for j in range(14) if is_quad_residue(j, 14)] == \ + [0, 1, 2, 4, 7, 8, 9, 11] + raises(ValueError, lambda: is_quad_residue(1.1, 2)) + raises(ValueError, lambda: is_quad_residue(2, 0)) + + assert quadratic_residues(S.One) == [0] + assert quadratic_residues(1) == [0] + assert quadratic_residues(12) == [0, 1, 4, 9] + assert quadratic_residues(13) == [0, 1, 3, 4, 9, 10, 12] + assert [len(quadratic_residues(i)) for i in range(1, 20)] == \ + [1, 2, 2, 2, 3, 4, 4, 3, 4, 6, 6, 4, 7, 8, 6, 4, 9, 8, 10] + + assert list(sqrt_mod_iter(6, 2)) == [0] + assert sqrt_mod(3, 13) == 4 + assert sqrt_mod(3, -13) == 4 + assert sqrt_mod(6, 23) == 11 + assert sqrt_mod(345, 690) == 345 + assert sqrt_mod(67, 101) == None + assert sqrt_mod(1020, 104729) == None + + for p in range(3, 100): + d = defaultdict(list) + for i in range(p): + d[pow(i, 2, p)].append(i) + for i in range(1, p): + it = sqrt_mod_iter(i, p) + v = sqrt_mod(i, p, True) + if v: + v = sorted(v) + assert d[i] == v + else: + assert not d[i] + + assert sqrt_mod(9, 27, True) == [3, 6, 12, 15, 21, 24] + assert sqrt_mod(9, 81, True) == [3, 24, 30, 51, 57, 78] + assert sqrt_mod(9, 3**5, True) == [3, 78, 84, 159, 165, 240] + assert sqrt_mod(81, 3**4, True) == [0, 9, 18, 27, 36, 45, 54, 63, 72] + assert sqrt_mod(81, 3**5, True) == [9, 18, 36, 45, 63, 72, 90, 99, 117,\ + 126, 144, 153, 171, 180, 198, 207, 225, 234] + assert sqrt_mod(81, 3**6, True) == [9, 72, 90, 153, 171, 234, 252, 315,\ + 333, 396, 414, 477, 495, 558, 576, 639, 657, 720] + assert sqrt_mod(81, 3**7, True) == [9, 234, 252, 477, 495, 720, 738, 963,\ + 981, 1206, 1224, 1449, 1467, 1692, 1710, 1935, 1953, 2178] + + for a, p in [(26214400, 32768000000), (26214400, 16384000000), + (262144, 1048576), (87169610025, 163443018796875), + (22315420166400, 167365651248000000)]: + assert pow(sqrt_mod(a, p), 2, p) == a + + n = 70 + a, p = 5**2*3**n*2**n, 5**6*3**(n+1)*2**(n+2) + it = sqrt_mod_iter(a, p) + for i in range(10): + assert pow(next(it), 2, p) == a + a, p = 5**2*3**n*2**n, 5**6*3**(n+1)*2**(n+3) + it = sqrt_mod_iter(a, p) + for i in range(2): + assert pow(next(it), 2, p) == a + n = 100 + a, p = 5**2*3**n*2**n, 5**6*3**(n+1)*2**(n+1) + it = sqrt_mod_iter(a, p) + for i in range(2): + assert pow(next(it), 2, p) == a + + assert type(next(sqrt_mod_iter(9, 27))) is int + assert type(next(sqrt_mod_iter(9, 27, ZZ))) is type(ZZ(1)) + assert type(next(sqrt_mod_iter(1, 7, ZZ))) is type(ZZ(1)) + + assert is_nthpow_residue(2, 1, 5) + + #issue 10816 + assert is_nthpow_residue(1, 0, 1) is False + assert is_nthpow_residue(1, 0, 2) is True + assert is_nthpow_residue(3, 0, 2) is True + assert is_nthpow_residue(0, 1, 8) is True + assert is_nthpow_residue(2, 3, 2) is True + assert is_nthpow_residue(2, 3, 9) is False + assert is_nthpow_residue(3, 5, 30) is True + assert is_nthpow_residue(21, 11, 20) is True + assert is_nthpow_residue(7, 10, 20) is False + assert is_nthpow_residue(5, 10, 20) is True + assert is_nthpow_residue(3, 10, 48) is False + assert is_nthpow_residue(1, 10, 40) is True + assert is_nthpow_residue(3, 10, 24) is False + assert is_nthpow_residue(1, 10, 24) is True + assert is_nthpow_residue(3, 10, 24) is False + assert is_nthpow_residue(2, 10, 48) is False + assert is_nthpow_residue(81, 3, 972) is False + assert is_nthpow_residue(243, 5, 5103) is True + assert is_nthpow_residue(243, 3, 1240029) is False + assert is_nthpow_residue(36010, 8, 87382) is True + assert is_nthpow_residue(28552, 6, 2218) is True + assert is_nthpow_residue(92712, 9, 50026) is True + x = {pow(i, 56, 1024) for i in range(1024)} + assert {a for a in range(1024) if is_nthpow_residue(a, 56, 1024)} == x + x = { pow(i, 256, 2048) for i in range(2048)} + assert {a for a in range(2048) if is_nthpow_residue(a, 256, 2048)} == x + x = { pow(i, 11, 324000) for i in range(1000)} + assert [ is_nthpow_residue(a, 11, 324000) for a in x] + x = { pow(i, 17, 22217575536) for i in range(1000)} + assert [ is_nthpow_residue(a, 17, 22217575536) for a in x] + assert is_nthpow_residue(676, 3, 5364) + assert is_nthpow_residue(9, 12, 36) + assert is_nthpow_residue(32, 10, 41) + assert is_nthpow_residue(4, 2, 64) + assert is_nthpow_residue(31, 4, 41) + assert not is_nthpow_residue(2, 2, 5) + assert is_nthpow_residue(8547, 12, 10007) + assert is_nthpow_residue(Dummy(even=True) + 3, 3, 2) == True + # _nthroot_mod_prime_power + for p in primerange(2, 10): + for a in range(3): + for n in range(3, 5): + ans = _nthroot_mod_prime_power(a, n, p, 1) + assert isinstance(ans, list) + if len(ans) == 0: + for b in range(p): + assert pow(b, n, p) != a % p + for k in range(2, 10): + assert _nthroot_mod_prime_power(a, n, p, k) == [] + else: + for b in range(p): + pred = pow(b, n, p) == a % p + assert not(pred ^ (b in ans)) + for k in range(2, 10): + ans = _nthroot_mod_prime_power(a, n, p, k) + if not ans: + break + for b in ans: + assert pow(b, n , p**k) == a + + assert nthroot_mod(Dummy(odd=True), 3, 2) == 1 + assert nthroot_mod(29, 31, 74) == 45 + assert nthroot_mod(1801, 11, 2663) == 44 + for a, q, p in [(51922, 2, 203017), (43, 3, 109), (1801, 11, 2663), + (26118163, 1303, 33333347), (1499, 7, 2663), (595, 6, 2663), + (1714, 12, 2663), (28477, 9, 33343)]: + r = nthroot_mod(a, q, p) + assert pow(r, q, p) == a + assert nthroot_mod(11, 3, 109) is None + assert nthroot_mod(16, 5, 36, True) == [4, 22] + assert nthroot_mod(9, 16, 36, True) == [3, 9, 15, 21, 27, 33] + assert nthroot_mod(4, 3, 3249000) is None + assert nthroot_mod(36010, 8, 87382, True) == [40208, 47174] + assert nthroot_mod(0, 12, 37, True) == [0] + assert nthroot_mod(0, 7, 100, True) == [0, 10, 20, 30, 40, 50, 60, 70, 80, 90] + assert nthroot_mod(4, 4, 27, True) == [5, 22] + assert nthroot_mod(4, 4, 121, True) == [19, 102] + assert nthroot_mod(2, 3, 7, True) == [] + for p in range(1, 20): + for a in range(p): + for n in range(1, p): + ans = nthroot_mod(a, n, p, True) + assert isinstance(ans, list) + for b in range(p): + pred = pow(b, n, p) == a + assert not(pred ^ (b in ans)) + ans2 = nthroot_mod(a, n, p, False) + if ans2 is None: + assert ans == [] + else: + assert ans2 in ans + + x = Symbol('x', positive=True) + i = Symbol('i', integer=True) + assert _discrete_log_trial_mul(587, 2**7, 2) == 7 + assert _discrete_log_trial_mul(941, 7**18, 7) == 18 + assert _discrete_log_trial_mul(389, 3**81, 3) == 81 + assert _discrete_log_trial_mul(191, 19**123, 19) == 123 + assert _discrete_log_shanks_steps(442879, 7**2, 7) == 2 + assert _discrete_log_shanks_steps(874323, 5**19, 5) == 19 + assert _discrete_log_shanks_steps(6876342, 7**71, 7) == 71 + assert _discrete_log_shanks_steps(2456747, 3**321, 3) == 321 + assert _discrete_log_pollard_rho(6013199, 2**6, 2, rseed=0) == 6 + assert _discrete_log_pollard_rho(6138719, 2**19, 2, rseed=0) == 19 + assert _discrete_log_pollard_rho(36721943, 2**40, 2, rseed=0) == 40 + assert _discrete_log_pollard_rho(24567899, 3**333, 3, rseed=0) == 333 + raises(ValueError, lambda: _discrete_log_pollard_rho(11, 7, 31, rseed=0)) + raises(ValueError, lambda: _discrete_log_pollard_rho(227, 3**7, 5, rseed=0)) + assert _discrete_log_index_calculus(983, 948, 2, 491) == 183 + assert _discrete_log_index_calculus(633383, 21794, 2, 316691) == 68048 + assert _discrete_log_index_calculus(941762639, 68822582, 2, 470881319) == 338029275 + assert _discrete_log_index_calculus(999231337607, 888188918786, 2, 499615668803) == 142811376514 + assert _discrete_log_index_calculus(47747730623, 19410045286, 43425105668, 645239603) == 590504662 + assert _discrete_log_pohlig_hellman(98376431, 11**9, 11) == 9 + assert _discrete_log_pohlig_hellman(78723213, 11**31, 11) == 31 + assert _discrete_log_pohlig_hellman(32942478, 11**98, 11) == 98 + assert _discrete_log_pohlig_hellman(14789363, 11**444, 11) == 444 + assert discrete_log(1, 0, 2) == 0 + raises(ValueError, lambda: discrete_log(-4, 1, 3)) + raises(ValueError, lambda: discrete_log(10, 3, 2)) + assert discrete_log(587, 2**9, 2) == 9 + assert discrete_log(2456747, 3**51, 3) == 51 + assert discrete_log(32942478, 11**127, 11) == 127 + assert discrete_log(432751500361, 7**324, 7) == 324 + assert discrete_log(265390227570863,184500076053622, 2) == 17835221372061 + assert discrete_log(22708823198678103974314518195029102158525052496759285596453269189798311427475159776411276642277139650833937, + 17463946429475485293747680247507700244427944625055089103624311227422110546803452417458985046168310373075327, + 123456) == 2068031853682195777930683306640554533145512201725884603914601918777510185469769997054750835368413389728895 + args = 5779, 3528, 6215 + assert discrete_log(*args) == 687 + assert discrete_log(*Tuple(*args)) == 687 + assert quadratic_congruence(400, 85, 125, 1600) == [295, 615, 935, 1255, 1575] + assert quadratic_congruence(3, 6, 5, 25) == [3, 20] + assert quadratic_congruence(120, 80, 175, 500) == [] + assert quadratic_congruence(15, 14, 7, 2) == [1] + assert quadratic_congruence(8, 15, 7, 29) == [10, 28] + assert quadratic_congruence(160, 200, 300, 461) == [144, 431] + assert quadratic_congruence(100000, 123456, 7415263, 48112959837082048697) == [30417843635344493501, 36001135160550533083] + assert quadratic_congruence(65, 121, 72, 277) == [249, 252] + assert quadratic_congruence(5, 10, 14, 2) == [0] + assert quadratic_congruence(10, 17, 19, 2) == [1] + assert quadratic_congruence(10, 14, 20, 2) == [0, 1] + assert quadratic_congruence(2**48-7, 2**48-1, 4, 2**48) == [8249717183797, 31960993774868] + assert polynomial_congruence(6*x**5 + 10*x**4 + 5*x**3 + x**2 + x + 1, + 972000) == [220999, 242999, 463999, 485999, 706999, 728999, 949999, 971999] + + assert polynomial_congruence(x**3 - 10*x**2 + 12*x - 82, 33075) == [30287] + assert polynomial_congruence(x**2 + x + 47, 2401) == [785, 1615] + assert polynomial_congruence(10*x**2 + 14*x + 20, 2) == [0, 1] + assert polynomial_congruence(x**3 + 3, 16) == [5] + assert polynomial_congruence(65*x**2 + 121*x + 72, 277) == [249, 252] + assert polynomial_congruence(x**4 - 4, 27) == [5, 22] + assert polynomial_congruence(35*x**3 - 6*x**2 - 567*x + 2308, 148225) == [86957, + 111157, 122531, 146731] + assert polynomial_congruence(x**16 - 9, 36) == [3, 9, 15, 21, 27, 33] + assert polynomial_congruence(x**6 - 2*x**5 - 35, 6125) == [3257] + raises(ValueError, lambda: polynomial_congruence(x**x, 6125)) + raises(ValueError, lambda: polynomial_congruence(x**i, 6125)) + raises(ValueError, lambda: polynomial_congruence(0.1*x**2 + 6, 100)) + + assert binomial_mod(-1, 1, 10) == 0 + assert binomial_mod(1, -1, 10) == 0 + raises(ValueError, lambda: binomial_mod(2, 1, -1)) + assert binomial_mod(51, 10, 10) == 0 + assert binomial_mod(10**3, 500, 3**6) == 567 + assert binomial_mod(10**18 - 1, 123456789, 4) == 0 + assert binomial_mod(10**18, 10**12, (10**5 + 3)**2) == 3744312326 + + +def test_binomial_p_pow(): + n, binomials, binomial = 1000, [1], 1 + for i in range(1, n + 1): + binomial *= n - i + 1 + binomial //= i + binomials.append(binomial) + + # Test powers of two, which the algorithm treats slightly differently + trials_2 = 100 + for _ in range(trials_2): + m, power = randint(0, n), randint(1, 20) + assert _binomial_mod_prime_power(n, m, 2, power) == binomials[m] % 2**power + + # Test against other prime powers + primes = list(sieve.primerange(2*n)) + trials = 1000 + for _ in range(trials): + m, prime, power = randint(0, n), choice(primes), randint(1, 10) + assert _binomial_mod_prime_power(n, m, prime, power) == binomials[m] % prime**power + + +def test_deprecated_ntheory_symbolic_functions(): + from sympy.testing.pytest import warns_deprecated_sympy + + with warns_deprecated_sympy(): + assert mobius(3) == -1 + with warns_deprecated_sympy(): + assert legendre_symbol(2, 3) == -1 + with warns_deprecated_sympy(): + assert jacobi_symbol(2, 3) == -1 diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/parsing/autolev/Autolev.g4 b/tool_server/.venv/lib/python3.12/site-packages/sympy/parsing/autolev/Autolev.g4 new file mode 100644 index 0000000000000000000000000000000000000000..94feea5fa4f49e9d1054eca2cd60c996aebff7c2 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/parsing/autolev/Autolev.g4 @@ -0,0 +1,118 @@ +grammar Autolev; + +options { + language = Python3; +} + +prog: stat+; + +stat: varDecl + | functionCall + | codeCommands + | massDecl + | inertiaDecl + | assignment + | settings + ; + +assignment: vec equals expr #vecAssign + | ID '[' index ']' equals expr #indexAssign + | ID diff? equals expr #regularAssign; + +equals: ('='|'+='|'-='|':='|'*='|'/='|'^='); + +index: expr (',' expr)* ; + +diff: ('\'')+; + +functionCall: ID '(' (expr (',' expr)*)? ')' + | (Mass|Inertia) '(' (ID (',' ID)*)? ')'; + +varDecl: varType varDecl2 (',' varDecl2)*; + +varType: Newtonian|Frames|Bodies|Particles|Points|Constants + | Specifieds|Imaginary|Variables ('\'')*|MotionVariables ('\'')*; + +varDecl2: ID ('{' INT ',' INT '}')? (('{' INT ':' INT (',' INT ':' INT)* '}'))? ('{' INT '}')? ('+'|'-')? ('\'')* ('=' expr)?; + +ranges: ('{' INT ':' INT (',' INT ':' INT)* '}'); + +massDecl: Mass massDecl2 (',' massDecl2)*; + +massDecl2: ID '=' expr; + +inertiaDecl: Inertia ID ('(' ID ')')? (',' expr)+; + +matrix: '[' expr ((','|';') expr)* ']'; +matrixInOutput: (ID (ID '=' (FLOAT|INT)?))|FLOAT|INT; + +codeCommands: units + | inputs + | outputs + | codegen + | commands; + +settings: ID (EXP|ID|FLOAT|INT)?; + +units: UnitSystem ID (',' ID)*; +inputs: Input inputs2 (',' inputs2)*; +id_diff: ID diff?; +inputs2: id_diff '=' expr expr?; +outputs: Output outputs2 (',' outputs2)*; +outputs2: expr expr?; +codegen: ID functionCall ('['matrixInOutput (',' matrixInOutput)*']')? ID'.'ID; + +commands: Save ID'.'ID + | Encode ID (',' ID)*; + +vec: ID ('>')+ + | '0>' + | '1>>'; + +expr: expr '^' expr # Exponent + | expr ('*'|'/') expr # MulDiv + | expr ('+'|'-') expr # AddSub + | EXP # exp + | '-' expr # negativeOne + | FLOAT # float + | INT # int + | ID('\'')* # id + | vec # VectorOrDyadic + | ID '['expr (',' expr)* ']' # Indexing + | functionCall # function + | matrix # matrices + | '(' expr ')' # parens + | expr '=' expr # idEqualsExpr + | expr ':' expr # colon + | ID? ranges ('\'')* # rangess + ; + +// These are to take care of the case insensitivity of Autolev. +Mass: ('M'|'m')('A'|'a')('S'|'s')('S'|'s'); +Inertia: ('I'|'i')('N'|'n')('E'|'e')('R'|'r')('T'|'t')('I'|'i')('A'|'a'); +Input: ('I'|'i')('N'|'n')('P'|'p')('U'|'u')('T'|'t')('S'|'s')?; +Output: ('O'|'o')('U'|'u')('T'|'t')('P'|'p')('U'|'u')('T'|'t'); +Save: ('S'|'s')('A'|'a')('V'|'v')('E'|'e'); +UnitSystem: ('U'|'u')('N'|'n')('I'|'i')('T'|'t')('S'|'s')('Y'|'y')('S'|'s')('T'|'t')('E'|'e')('M'|'m'); +Encode: ('E'|'e')('N'|'n')('C'|'c')('O'|'o')('D'|'d')('E'|'e'); +Newtonian: ('N'|'n')('E'|'e')('W'|'w')('T'|'t')('O'|'o')('N'|'n')('I'|'i')('A'|'a')('N'|'n'); +Frames: ('F'|'f')('R'|'r')('A'|'a')('M'|'m')('E'|'e')('S'|'s')?; +Bodies: ('B'|'b')('O'|'o')('D'|'d')('I'|'i')('E'|'e')('S'|'s')?; +Particles: ('P'|'p')('A'|'a')('R'|'r')('T'|'t')('I'|'i')('C'|'c')('L'|'l')('E'|'e')('S'|'s')?; +Points: ('P'|'p')('O'|'o')('I'|'i')('N'|'n')('T'|'t')('S'|'s')?; +Constants: ('C'|'c')('O'|'o')('N'|'n')('S'|'s')('T'|'t')('A'|'a')('N'|'n')('T'|'t')('S'|'s')?; +Specifieds: ('S'|'s')('P'|'p')('E'|'e')('C'|'c')('I'|'i')('F'|'f')('I'|'i')('E'|'e')('D'|'d')('S'|'s')?; +Imaginary: ('I'|'i')('M'|'m')('A'|'a')('G'|'g')('I'|'i')('N'|'n')('A'|'a')('R'|'r')('Y'|'y'); +Variables: ('V'|'v')('A'|'a')('R'|'r')('I'|'i')('A'|'a')('B'|'b')('L'|'l')('E'|'e')('S'|'s')?; +MotionVariables: ('M'|'m')('O'|'o')('T'|'t')('I'|'i')('O'|'o')('N'|'n')('V'|'v')('A'|'a')('R'|'r')('I'|'i')('A'|'a')('B'|'b')('L'|'l')('E'|'e')('S'|'s')?; + +fragment DIFF: ('\'')*; +fragment DIGIT: [0-9]; +INT: [0-9]+ ; // match integers +FLOAT: DIGIT+ '.' DIGIT* + | '.' DIGIT+; +EXP: FLOAT 'E' INT +| FLOAT 'E' '-' INT; +LINE_COMMENT : '%' .*? '\r'? '\n' -> skip ; +ID: [a-zA-Z][a-zA-Z0-9_]*; +WS: [ \t\r\n&]+ -> skip ; // toss out whitespace diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/parsing/autolev/__init__.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/parsing/autolev/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..ec81bb83325d68e1c11b43a1df5ec56846367e9f --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/parsing/autolev/__init__.py @@ -0,0 +1,97 @@ +from sympy.external import import_module +from sympy.utilities.decorator import doctest_depends_on + +@doctest_depends_on(modules=('antlr4',)) +def parse_autolev(autolev_code, include_numeric=False): + """Parses Autolev code (version 4.1) to SymPy code. + + Parameters + ========= + autolev_code : Can be an str or any object with a readlines() method (such as a file handle or StringIO). + include_numeric : boolean, optional + If True NumPy, PyDy, or other numeric code is included for numeric evaluation lines in the Autolev code. + + Returns + ======= + sympy_code : str + Equivalent SymPy and/or numpy/pydy code as the input code. + + + Example (Double Pendulum) + ========================= + >>> my_al_text = ("MOTIONVARIABLES' Q{2}', U{2}'", + ... "CONSTANTS L,M,G", + ... "NEWTONIAN N", + ... "FRAMES A,B", + ... "SIMPROT(N, A, 3, Q1)", + ... "SIMPROT(N, B, 3, Q2)", + ... "W_A_N>=U1*N3>", + ... "W_B_N>=U2*N3>", + ... "POINT O", + ... "PARTICLES P,R", + ... "P_O_P> = L*A1>", + ... "P_P_R> = L*B1>", + ... "V_O_N> = 0>", + ... "V2PTS(N, A, O, P)", + ... "V2PTS(N, B, P, R)", + ... "MASS P=M, R=M", + ... "Q1' = U1", + ... "Q2' = U2", + ... "GRAVITY(G*N1>)", + ... "ZERO = FR() + FRSTAR()", + ... "KANE()", + ... "INPUT M=1,G=9.81,L=1", + ... "INPUT Q1=.1,Q2=.2,U1=0,U2=0", + ... "INPUT TFINAL=10, INTEGSTP=.01", + ... "CODE DYNAMICS() some_filename.c") + >>> my_al_text = '\\n'.join(my_al_text) + >>> from sympy.parsing.autolev import parse_autolev + >>> print(parse_autolev(my_al_text, include_numeric=True)) + import sympy.physics.mechanics as _me + import sympy as _sm + import math as m + import numpy as _np + + q1, q2, u1, u2 = _me.dynamicsymbols('q1 q2 u1 u2') + q1_d, q2_d, u1_d, u2_d = _me.dynamicsymbols('q1_ q2_ u1_ u2_', 1) + l, m, g = _sm.symbols('l m g', real=True) + frame_n = _me.ReferenceFrame('n') + frame_a = _me.ReferenceFrame('a') + frame_b = _me.ReferenceFrame('b') + frame_a.orient(frame_n, 'Axis', [q1, frame_n.z]) + frame_b.orient(frame_n, 'Axis', [q2, frame_n.z]) + frame_a.set_ang_vel(frame_n, u1*frame_n.z) + frame_b.set_ang_vel(frame_n, u2*frame_n.z) + point_o = _me.Point('o') + particle_p = _me.Particle('p', _me.Point('p_pt'), _sm.Symbol('m')) + particle_r = _me.Particle('r', _me.Point('r_pt'), _sm.Symbol('m')) + particle_p.point.set_pos(point_o, l*frame_a.x) + particle_r.point.set_pos(particle_p.point, l*frame_b.x) + point_o.set_vel(frame_n, 0) + particle_p.point.v2pt_theory(point_o,frame_n,frame_a) + particle_r.point.v2pt_theory(particle_p.point,frame_n,frame_b) + particle_p.mass = m + particle_r.mass = m + force_p = particle_p.mass*(g*frame_n.x) + force_r = particle_r.mass*(g*frame_n.x) + kd_eqs = [q1_d - u1, q2_d - u2] + forceList = [(particle_p.point,particle_p.mass*(g*frame_n.x)), (particle_r.point,particle_r.mass*(g*frame_n.x))] + kane = _me.KanesMethod(frame_n, q_ind=[q1,q2], u_ind=[u1, u2], kd_eqs = kd_eqs) + fr, frstar = kane.kanes_equations([particle_p, particle_r], forceList) + zero = fr+frstar + from pydy.system import System + sys = System(kane, constants = {l:1, m:1, g:9.81}, + specifieds={}, + initial_conditions={q1:.1, q2:.2, u1:0, u2:0}, + times = _np.linspace(0.0, 10, 10/.01)) + + y=sys.integrate() + + """ + + _autolev = import_module( + 'sympy.parsing.autolev._parse_autolev_antlr', + import_kwargs={'fromlist': ['X']}) + + if _autolev is not None: + return _autolev.parse_autolev(autolev_code, include_numeric) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/parsing/autolev/_build_autolev_antlr.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/parsing/autolev/_build_autolev_antlr.py new file mode 100644 index 0000000000000000000000000000000000000000..8314b2f546c0a18a8e281768b60d66556c852e3b --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/parsing/autolev/_build_autolev_antlr.py @@ -0,0 +1,86 @@ +import os +import subprocess +import glob + +from sympy.utilities.misc import debug + +here = os.path.dirname(__file__) +grammar_file = os.path.abspath(os.path.join(here, "Autolev.g4")) +dir_autolev_antlr = os.path.join(here, "_antlr") + +header = '''\ +# *** GENERATED BY `setup.py antlr`, DO NOT EDIT BY HAND *** +# +# Generated with antlr4 +# antlr4 is licensed under the BSD-3-Clause License +# https://github.com/antlr/antlr4/blob/master/LICENSE.txt +''' + + +def check_antlr_version(): + debug("Checking antlr4 version...") + + try: + debug(subprocess.check_output(["antlr4"]) + .decode('utf-8').split("\n")[0]) + return True + except (subprocess.CalledProcessError, FileNotFoundError): + debug("The 'antlr4' command line tool is not installed, " + "or not on your PATH.\n" + "> Please refer to the README.md file for more information.") + return False + + +def build_parser(output_dir=dir_autolev_antlr): + check_antlr_version() + + debug("Updating ANTLR-generated code in {}".format(output_dir)) + + if not os.path.exists(output_dir): + os.makedirs(output_dir) + + with open(os.path.join(output_dir, "__init__.py"), "w+") as fp: + fp.write(header) + + args = [ + "antlr4", + grammar_file, + "-o", output_dir, + "-no-visitor", + ] + + debug("Running code generation...\n\t$ {}".format(" ".join(args))) + subprocess.check_output(args, cwd=output_dir) + + debug("Applying headers, removing unnecessary files and renaming...") + # Handle case insensitive file systems. If the files are already + # generated, they will be written to autolev* but Autolev*.* won't match them. + for path in (glob.glob(os.path.join(output_dir, "Autolev*.*")) or + glob.glob(os.path.join(output_dir, "autolev*.*"))): + + # Remove files ending in .interp or .tokens as they are not needed. + if not path.endswith(".py"): + os.unlink(path) + continue + + new_path = os.path.join(output_dir, os.path.basename(path).lower()) + with open(path, 'r') as f: + lines = [line.rstrip().replace('AutolevParser import', 'autolevparser import') +'\n' + for line in f] + + os.unlink(path) + + with open(new_path, "w") as out_file: + offset = 0 + while lines[offset].startswith('#'): + offset += 1 + out_file.write(header) + out_file.writelines(lines[offset:]) + + debug("\t{}".format(new_path)) + + return True + + +if __name__ == "__main__": + build_parser() diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/parsing/autolev/_listener_autolev_antlr.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/parsing/autolev/_listener_autolev_antlr.py new file mode 100644 index 0000000000000000000000000000000000000000..9ca2f8af88de18036b90788fd29d02707f098213 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/parsing/autolev/_listener_autolev_antlr.py @@ -0,0 +1,2083 @@ +import collections +import warnings + +from sympy.external import import_module + +autolevparser = import_module('sympy.parsing.autolev._antlr.autolevparser', + import_kwargs={'fromlist': ['AutolevParser']}) +autolevlexer = import_module('sympy.parsing.autolev._antlr.autolevlexer', + import_kwargs={'fromlist': ['AutolevLexer']}) +autolevlistener = import_module('sympy.parsing.autolev._antlr.autolevlistener', + import_kwargs={'fromlist': ['AutolevListener']}) + +AutolevParser = getattr(autolevparser, 'AutolevParser', None) +AutolevLexer = getattr(autolevlexer, 'AutolevLexer', None) +AutolevListener = getattr(autolevlistener, 'AutolevListener', None) + + +def strfunc(z): + if z == 0: + return "" + elif z == 1: + return "_d" + else: + return "_" + "d" * z + +def declare_phy_entities(self, ctx, phy_type, i, j=None): + if phy_type in ("frame", "newtonian"): + declare_frames(self, ctx, i, j) + elif phy_type == "particle": + declare_particles(self, ctx, i, j) + elif phy_type == "point": + declare_points(self, ctx, i, j) + elif phy_type == "bodies": + declare_bodies(self, ctx, i, j) + +def declare_frames(self, ctx, i, j=None): + if "{" in ctx.getText(): + if j: + name1 = ctx.ID().getText().lower() + str(i) + str(j) + else: + name1 = ctx.ID().getText().lower() + str(i) + else: + name1 = ctx.ID().getText().lower() + name2 = "frame_" + name1 + if self.getValue(ctx.parentCtx.varType()) == "newtonian": + self.newtonian = name2 + + self.symbol_table2.update({name1: name2}) + + self.symbol_table.update({name1 + "1>": name2 + ".x"}) + self.symbol_table.update({name1 + "2>": name2 + ".y"}) + self.symbol_table.update({name1 + "3>": name2 + ".z"}) + + self.type2.update({name1: "frame"}) + self.write(name2 + " = " + "_me.ReferenceFrame('" + name1 + "')\n") + +def declare_points(self, ctx, i, j=None): + if "{" in ctx.getText(): + if j: + name1 = ctx.ID().getText().lower() + str(i) + str(j) + else: + name1 = ctx.ID().getText().lower() + str(i) + else: + name1 = ctx.ID().getText().lower() + + name2 = "point_" + name1 + + self.symbol_table2.update({name1: name2}) + self.type2.update({name1: "point"}) + self.write(name2 + " = " + "_me.Point('" + name1 + "')\n") + +def declare_particles(self, ctx, i, j=None): + if "{" in ctx.getText(): + if j: + name1 = ctx.ID().getText().lower() + str(i) + str(j) + else: + name1 = ctx.ID().getText().lower() + str(i) + else: + name1 = ctx.ID().getText().lower() + + name2 = "particle_" + name1 + + self.symbol_table2.update({name1: name2}) + self.type2.update({name1: "particle"}) + self.bodies.update({name1: name2}) + self.write(name2 + " = " + "_me.Particle('" + name1 + "', " + "_me.Point('" + + name1 + "_pt" + "'), " + "_sm.Symbol('m'))\n") + +def declare_bodies(self, ctx, i, j=None): + if "{" in ctx.getText(): + if j: + name1 = ctx.ID().getText().lower() + str(i) + str(j) + else: + name1 = ctx.ID().getText().lower() + str(i) + else: + name1 = ctx.ID().getText().lower() + + name2 = "body_" + name1 + self.bodies.update({name1: name2}) + masscenter = name2 + "_cm" + refFrame = name2 + "_f" + + self.symbol_table2.update({name1: name2}) + self.symbol_table2.update({name1 + "o": masscenter}) + self.symbol_table.update({name1 + "1>": refFrame+".x"}) + self.symbol_table.update({name1 + "2>": refFrame+".y"}) + self.symbol_table.update({name1 + "3>": refFrame+".z"}) + + self.type2.update({name1: "bodies"}) + self.type2.update({name1+"o": "point"}) + + self.write(masscenter + " = " + "_me.Point('" + name1 + "_cm" + "')\n") + if self.newtonian: + self.write(masscenter + ".set_vel(" + self.newtonian + ", " + "0)\n") + self.write(refFrame + " = " + "_me.ReferenceFrame('" + name1 + "_f" + "')\n") + # We set a dummy mass and inertia here. + # They will be reset using the setters later in the code anyway. + self.write(name2 + " = " + "_me.RigidBody('" + name1 + "', " + masscenter + ", " + + refFrame + ", " + "_sm.symbols('m'), (_me.outer(" + refFrame + + ".x," + refFrame + ".x)," + masscenter + "))\n") + +def inertia_func(self, v1, v2, l, frame): + + if self.type2[v1] == "particle": + l.append("_me.inertia_of_point_mass(" + self.bodies[v1] + ".mass, " + self.bodies[v1] + + ".point.pos_from(" + self.symbol_table2[v2] + "), " + frame + ")") + + elif self.type2[v1] == "bodies": + # Inertia has been defined about center of mass. + if self.inertia_point[v1] == v1 + "o": + # Asking point is cm as well + if v2 == self.inertia_point[v1]: + l.append(self.symbol_table2[v1] + ".inertia[0]") + + # Asking point is not cm + else: + l.append(self.bodies[v1] + ".inertia[0]" + " + " + + "_me.inertia_of_point_mass(" + self.bodies[v1] + + ".mass, " + self.bodies[v1] + ".masscenter" + + ".pos_from(" + self.symbol_table2[v2] + + "), " + frame + ")") + + # Inertia has been defined about another point + else: + # Asking point is the defined point + if v2 == self.inertia_point[v1]: + l.append(self.symbol_table2[v1] + ".inertia[0]") + # Asking point is cm + elif v2 == v1 + "o": + l.append(self.bodies[v1] + ".inertia[0]" + " - " + + "_me.inertia_of_point_mass(" + self.bodies[v1] + + ".mass, " + self.bodies[v1] + ".masscenter" + + ".pos_from(" + self.symbol_table2[self.inertia_point[v1]] + + "), " + frame + ")") + # Asking point is some other point + else: + l.append(self.bodies[v1] + ".inertia[0]" + " - " + + "_me.inertia_of_point_mass(" + self.bodies[v1] + + ".mass, " + self.bodies[v1] + ".masscenter" + + ".pos_from(" + self.symbol_table2[self.inertia_point[v1]] + + "), " + frame + ")" + " + " + + "_me.inertia_of_point_mass(" + self.bodies[v1] + + ".mass, " + self.bodies[v1] + ".masscenter" + + ".pos_from(" + self.symbol_table2[v2] + + "), " + frame + ")") + + +def processConstants(self, ctx): + # Process constant declarations of the type: Constants F = 3, g = 9.81 + name = ctx.ID().getText().lower() + if "=" in ctx.getText(): + self.symbol_table.update({name: name}) + # self.inputs.update({self.symbol_table[name]: self.getValue(ctx.getChild(2))}) + self.write(self.symbol_table[name] + " = " + "_sm.S(" + self.getValue(ctx.getChild(2)) + ")\n") + self.type.update({name: "constants"}) + return + + # Constants declarations of the type: Constants A, B + else: + if "{" not in ctx.getText(): + self.symbol_table[name] = name + self.type[name] = "constants" + + # Process constant declarations of the type: Constants C+, D- + if ctx.getChildCount() == 2: + # This is set for declaring nonpositive=True and nonnegative=True + if ctx.getChild(1).getText() == "+": + self.sign[name] = "+" + elif ctx.getChild(1).getText() == "-": + self.sign[name] = "-" + else: + if "{" not in ctx.getText(): + self.sign[name] = "o" + + # Process constant declarations of the type: Constants K{4}, a{1:2, 1:2}, b{1:2} + if "{" in ctx.getText(): + if ":" in ctx.getText(): + num1 = int(ctx.INT(0).getText()) + num2 = int(ctx.INT(1).getText()) + 1 + else: + num1 = 1 + num2 = int(ctx.INT(0).getText()) + 1 + + if ":" in ctx.getText(): + if "," in ctx.getText(): + num3 = int(ctx.INT(2).getText()) + num4 = int(ctx.INT(3).getText()) + 1 + for i in range(num1, num2): + for j in range(num3, num4): + self.symbol_table[name + str(i) + str(j)] = name + str(i) + str(j) + self.type[name + str(i) + str(j)] = "constants" + self.var_list.append(name + str(i) + str(j)) + self.sign[name + str(i) + str(j)] = "o" + else: + for i in range(num1, num2): + self.symbol_table[name + str(i)] = name + str(i) + self.type[name + str(i)] = "constants" + self.var_list.append(name + str(i)) + self.sign[name + str(i)] = "o" + + elif "," in ctx.getText(): + for i in range(1, int(ctx.INT(0).getText()) + 1): + for j in range(1, int(ctx.INT(1).getText()) + 1): + self.symbol_table[name] = name + str(i) + str(j) + self.type[name + str(i) + str(j)] = "constants" + self.var_list.append(name + str(i) + str(j)) + self.sign[name + str(i) + str(j)] = "o" + + else: + for i in range(num1, num2): + self.symbol_table[name + str(i)] = name + str(i) + self.type[name + str(i)] = "constants" + self.var_list.append(name + str(i)) + self.sign[name + str(i)] = "o" + + if "{" not in ctx.getText(): + self.var_list.append(name) + + +def writeConstants(self, ctx): + l1 = list(filter(lambda x: self.sign[x] == "o", self.var_list)) + l2 = list(filter(lambda x: self.sign[x] == "+", self.var_list)) + l3 = list(filter(lambda x: self.sign[x] == "-", self.var_list)) + try: + if self.settings["complex"] == "on": + real = ", real=True" + elif self.settings["complex"] == "off": + real = "" + except Exception: + real = ", real=True" + + if l1: + a = ", ".join(l1) + " = " + "_sm.symbols(" + "'" +\ + " ".join(l1) + "'" + real + ")\n" + self.write(a) + if l2: + a = ", ".join(l2) + " = " + "_sm.symbols(" + "'" +\ + " ".join(l2) + "'" + real + ", nonnegative=True)\n" + self.write(a) + if l3: + a = ", ".join(l3) + " = " + "_sm.symbols(" + "'" + \ + " ".join(l3) + "'" + real + ", nonpositive=True)\n" + self.write(a) + self.var_list = [] + + +def processVariables(self, ctx): + # Specified F = x*N1> + y*N2> + name = ctx.ID().getText().lower() + if "=" in ctx.getText(): + text = name + "'"*(ctx.getChildCount()-3) + self.write(text + " = " + self.getValue(ctx.expr()) + "\n") + return + + # Process variables of the type: Variables qA, qB + if ctx.getChildCount() == 1: + self.symbol_table[name] = name + if self.getValue(ctx.parentCtx.getChild(0)) in ("variable", "specified", "motionvariable", "motionvariable'"): + self.type.update({name: self.getValue(ctx.parentCtx.getChild(0))}) + + self.var_list.append(name) + self.sign[name] = 0 + + # Process variables of the type: Variables x', y'' + elif "'" in ctx.getText() and "{" not in ctx.getText(): + if ctx.getText().count("'") > self.maxDegree: + self.maxDegree = ctx.getText().count("'") + for i in range(ctx.getChildCount()): + self.sign[name + strfunc(i)] = i + self.symbol_table[name + "'"*i] = name + strfunc(i) + if self.getValue(ctx.parentCtx.getChild(0)) in ("variable", "specified", "motionvariable", "motionvariable'"): + self.type.update({name + "'"*i: self.getValue(ctx.parentCtx.getChild(0))}) + self.var_list.append(name + strfunc(i)) + + elif "{" in ctx.getText(): + # Process variables of the type: Variables x{3}, y{2} + + if "'" in ctx.getText(): + dash_count = ctx.getText().count("'") + if dash_count > self.maxDegree: + self.maxDegree = dash_count + + if ":" in ctx.getText(): + # Variables C{1:2, 1:2} + if "," in ctx.getText(): + num1 = int(ctx.INT(0).getText()) + num2 = int(ctx.INT(1).getText()) + 1 + num3 = int(ctx.INT(2).getText()) + num4 = int(ctx.INT(3).getText()) + 1 + # Variables C{1:2} + else: + num1 = int(ctx.INT(0).getText()) + num2 = int(ctx.INT(1).getText()) + 1 + + # Variables C{1,3} + elif "," in ctx.getText(): + num1 = 1 + num2 = int(ctx.INT(0).getText()) + 1 + num3 = 1 + num4 = int(ctx.INT(1).getText()) + 1 + else: + num1 = 1 + num2 = int(ctx.INT(0).getText()) + 1 + + for i in range(num1, num2): + try: + for j in range(num3, num4): + try: + for z in range(dash_count+1): + self.symbol_table.update({name + str(i) + str(j) + "'"*z: name + str(i) + str(j) + strfunc(z)}) + if self.getValue(ctx.parentCtx.getChild(0)) in ("variable", "specified", "motionvariable", "motionvariable'"): + self.type.update({name + str(i) + str(j) + "'"*z: self.getValue(ctx.parentCtx.getChild(0))}) + self.var_list.append(name + str(i) + str(j) + strfunc(z)) + self.sign.update({name + str(i) + str(j) + strfunc(z): z}) + if dash_count > self.maxDegree: + self.maxDegree = dash_count + except Exception: + self.symbol_table.update({name + str(i) + str(j): name + str(i) + str(j)}) + if self.getValue(ctx.parentCtx.getChild(0)) in ("variable", "specified", "motionvariable", "motionvariable'"): + self.type.update({name + str(i) + str(j): self.getValue(ctx.parentCtx.getChild(0))}) + self.var_list.append(name + str(i) + str(j)) + self.sign.update({name + str(i) + str(j): 0}) + except Exception: + try: + for z in range(dash_count+1): + self.symbol_table.update({name + str(i) + "'"*z: name + str(i) + strfunc(z)}) + if self.getValue(ctx.parentCtx.getChild(0)) in ("variable", "specified", "motionvariable", "motionvariable'"): + self.type.update({name + str(i) + "'"*z: self.getValue(ctx.parentCtx.getChild(0))}) + self.var_list.append(name + str(i) + strfunc(z)) + self.sign.update({name + str(i) + strfunc(z): z}) + if dash_count > self.maxDegree: + self.maxDegree = dash_count + except Exception: + self.symbol_table.update({name + str(i): name + str(i)}) + if self.getValue(ctx.parentCtx.getChild(0)) in ("variable", "specified", "motionvariable", "motionvariable'"): + self.type.update({name + str(i): self.getValue(ctx.parentCtx.getChild(0))}) + self.var_list.append(name + str(i)) + self.sign.update({name + str(i): 0}) + +def writeVariables(self, ctx): + #print(self.sign) + #print(self.symbol_table) + if self.var_list: + for i in range(self.maxDegree+1): + if i == 0: + j = "" + t = "" + else: + j = str(i) + t = ", " + l = [] + for k in list(filter(lambda x: self.sign[x] == i, self.var_list)): + if i == 0: + l.append(k) + if i == 1: + l.append(k[:-1]) + if i > 1: + l.append(k[:-2]) + a = ", ".join(list(filter(lambda x: self.sign[x] == i, self.var_list))) + " = " +\ + "_me.dynamicsymbols(" + "'" + " ".join(l) + "'" + t + j + ")\n" + l = [] + self.write(a) + self.maxDegree = 0 + self.var_list = [] + +def processImaginary(self, ctx): + name = ctx.ID().getText().lower() + self.symbol_table[name] = name + self.type[name] = "imaginary" + self.var_list.append(name) + + +def writeImaginary(self, ctx): + a = ", ".join(self.var_list) + " = " + "_sm.symbols(" + "'" + \ + " ".join(self.var_list) + "')\n" + b = ", ".join(self.var_list) + " = " + "_sm.I\n" + self.write(a) + self.write(b) + self.var_list = [] + +if AutolevListener: + class MyListener(AutolevListener): # type: ignore + def __init__(self, include_numeric=False): + # Stores data in tree nodes(tree annotation). Especially useful for expr reconstruction. + self.tree_property = {} + + # Stores the declared variables, constants etc as they are declared in Autolev and SymPy + # {"": ""}. + self.symbol_table = collections.OrderedDict() + + # Similar to symbol_table. Used for storing Physical entities like Frames, Points, + # Particles, Bodies etc + self.symbol_table2 = collections.OrderedDict() + + # Used to store nonpositive, nonnegative etc for constants and number of "'"s (order of diff) + # in variables. + self.sign = {} + + # Simple list used as a store to pass around variables between the 'process' and 'write' + # methods. + self.var_list = [] + + # Stores the type of a declared variable (constants, variables, specifieds etc) + self.type = collections.OrderedDict() + + # Similar to self.type. Used for storing the type of Physical entities like Frames, Points, + # Particles, Bodies etc + self.type2 = collections.OrderedDict() + + # These lists are used to distinguish matrix, numeric and vector expressions. + self.matrix_expr = [] + self.numeric_expr = [] + self.vector_expr = [] + self.fr_expr = [] + + self.output_code = [] + + # Stores the variables and their rhs for substituting upon the Autolev command EXPLICIT. + self.explicit = collections.OrderedDict() + + # Write code to import common dependencies. + self.output_code.append("import sympy.physics.mechanics as _me\n") + self.output_code.append("import sympy as _sm\n") + self.output_code.append("import math as m\n") + self.output_code.append("import numpy as _np\n") + self.output_code.append("\n") + + # Just a store for the max degree variable in a line. + self.maxDegree = 0 + + # Stores the input parameters which are then used for codegen and numerical analysis. + self.inputs = collections.OrderedDict() + # Stores the variables which appear in Output Autolev commands. + self.outputs = [] + # Stores the settings specified by the user. Ex: Complex on/off, Degrees on/off + self.settings = {} + # Boolean which changes the behaviour of some expression reconstruction + # when parsing Input Autolev commands. + self.in_inputs = False + self.in_outputs = False + + # Stores for the physical entities. + self.newtonian = None + self.bodies = collections.OrderedDict() + self.constants = [] + self.forces = collections.OrderedDict() + self.q_ind = [] + self.q_dep = [] + self.u_ind = [] + self.u_dep = [] + self.kd_eqs = [] + self.dependent_variables = [] + self.kd_equivalents = collections.OrderedDict() + self.kd_equivalents2 = collections.OrderedDict() + self.kd_eqs_supplied = None + self.kane_type = "no_args" + self.inertia_point = collections.OrderedDict() + self.kane_parsed = False + self.t = False + + # PyDy ode code will be included only if this flag is set to True. + self.include_numeric = include_numeric + + def write(self, string): + self.output_code.append(string) + + def getValue(self, node): + return self.tree_property[node] + + def setValue(self, node, value): + self.tree_property[node] = value + + def getSymbolTable(self): + return self.symbol_table + + def getType(self): + return self.type + + def exitVarDecl(self, ctx): + # This event method handles variable declarations. The parse tree node varDecl contains + # one or more varDecl2 nodes. Eg varDecl for 'Constants a{1:2, 1:2}, b{1:2}' has two varDecl2 + # nodes(one for a{1:2, 1:2} and one for b{1:2}). + + # Variable declarations are processed and stored in the event method exitVarDecl2. + # This stored information is used to write the final SymPy output code in the exitVarDecl event method. + + # determine the type of declaration + if self.getValue(ctx.varType()) == "constant": + writeConstants(self, ctx) + elif self.getValue(ctx.varType()) in\ + ("variable", "motionvariable", "motionvariable'", "specified"): + writeVariables(self, ctx) + elif self.getValue(ctx.varType()) == "imaginary": + writeImaginary(self, ctx) + + def exitVarType(self, ctx): + # Annotate the varType tree node with the type of the variable declaration. + name = ctx.getChild(0).getText().lower() + if name[-1] == "s" and name != "bodies": + self.setValue(ctx, name[:-1]) + else: + self.setValue(ctx, name) + + def exitVarDecl2(self, ctx): + # Variable declarations are processed and stored in the event method exitVarDecl2. + # This stored information is used to write the final SymPy output code in the exitVarDecl event method. + # This is the case for constants, variables, specifieds etc. + + # This isn't the case for all types of declarations though. For instance + # Frames A, B, C, N cannot be defined on one line in SymPy. So we do not append A, B, C, N + # to a var_list or use exitVarDecl. exitVarDecl2 directly writes out to the file. + + # determine the type of declaration + if self.getValue(ctx.parentCtx.varType()) == "constant": + processConstants(self, ctx) + + elif self.getValue(ctx.parentCtx.varType()) in \ + ("variable", "motionvariable", "motionvariable'", "specified"): + processVariables(self, ctx) + + elif self.getValue(ctx.parentCtx.varType()) == "imaginary": + processImaginary(self, ctx) + + elif self.getValue(ctx.parentCtx.varType()) in ("frame", "newtonian", "point", "particle", "bodies"): + if "{" in ctx.getText(): + if ":" in ctx.getText() and "," not in ctx.getText(): + num1 = int(ctx.INT(0).getText()) + num2 = int(ctx.INT(1).getText()) + 1 + elif ":" not in ctx.getText() and "," in ctx.getText(): + num1 = 1 + num2 = int(ctx.INT(0).getText()) + 1 + num3 = 1 + num4 = int(ctx.INT(1).getText()) + 1 + elif ":" in ctx.getText() and "," in ctx.getText(): + num1 = int(ctx.INT(0).getText()) + num2 = int(ctx.INT(1).getText()) + 1 + num3 = int(ctx.INT(2).getText()) + num4 = int(ctx.INT(3).getText()) + 1 + else: + num1 = 1 + num2 = int(ctx.INT(0).getText()) + 1 + else: + num1 = 1 + num2 = 2 + for i in range(num1, num2): + try: + for j in range(num3, num4): + declare_phy_entities(self, ctx, self.getValue(ctx.parentCtx.varType()), i, j) + except Exception: + declare_phy_entities(self, ctx, self.getValue(ctx.parentCtx.varType()), i) + # ================== Subrules of parser rule expr (Start) ====================== # + + def exitId(self, ctx): + # Tree annotation for ID which is a labeled subrule of the parser rule expr. + # A_C + python_keywords = ["and", "as", "assert", "break", "class", "continue", "def", "del", "elif", "else", "except",\ + "exec", "finally", "for", "from", "global", "if", "import", "in", "is", "lambda", "not", "or", "pass", "print",\ + "raise", "return", "try", "while", "with", "yield"] + + if ctx.ID().getText().lower() in python_keywords: + warnings.warn("Python keywords must not be used as identifiers. Please refer to the list of keywords at https://docs.python.org/2.5/ref/keywords.html", + SyntaxWarning) + + if "_" in ctx.ID().getText() and ctx.ID().getText().count('_') == 1: + e1, e2 = ctx.ID().getText().lower().split('_') + try: + if self.type2[e1] == "frame": + e1 = self.symbol_table2[e1] + elif self.type2[e1] == "bodies": + e1 = self.symbol_table2[e1] + "_f" + if self.type2[e2] == "frame": + e2 = self.symbol_table2[e2] + elif self.type2[e2] == "bodies": + e2 = self.symbol_table2[e2] + "_f" + + self.setValue(ctx, e1 + ".dcm(" + e2 + ")") + except Exception: + self.setValue(ctx, ctx.ID().getText().lower()) + else: + # Reserved constant Pi + if ctx.ID().getText().lower() == "pi": + self.setValue(ctx, "_sm.pi") + self.numeric_expr.append(ctx) + + # Reserved variable T (for time) + elif ctx.ID().getText().lower() == "t": + self.setValue(ctx, "_me.dynamicsymbols._t") + if not self.in_inputs and not self.in_outputs: + self.t = True + + else: + idText = ctx.ID().getText().lower() + "'"*(ctx.getChildCount() - 1) + if idText in self.type.keys() and self.type[idText] == "matrix": + self.matrix_expr.append(ctx) + if self.in_inputs: + try: + self.setValue(ctx, self.symbol_table[idText]) + except Exception: + self.setValue(ctx, idText.lower()) + else: + try: + self.setValue(ctx, self.symbol_table[idText]) + except Exception: + pass + + def exitInt(self, ctx): + # Tree annotation for int which is a labeled subrule of the parser rule expr. + int_text = ctx.INT().getText() + self.setValue(ctx, int_text) + self.numeric_expr.append(ctx) + + def exitFloat(self, ctx): + # Tree annotation for float which is a labeled subrule of the parser rule expr. + floatText = ctx.FLOAT().getText() + self.setValue(ctx, floatText) + self.numeric_expr.append(ctx) + + def exitAddSub(self, ctx): + # Tree annotation for AddSub which is a labeled subrule of the parser rule expr. + # The subrule is expr = expr (+|-) expr + if ctx.expr(0) in self.matrix_expr or ctx.expr(1) in self.matrix_expr: + self.matrix_expr.append(ctx) + if ctx.expr(0) in self.vector_expr or ctx.expr(1) in self.vector_expr: + self.vector_expr.append(ctx) + if ctx.expr(0) in self.numeric_expr and ctx.expr(1) in self.numeric_expr: + self.numeric_expr.append(ctx) + self.setValue(ctx, self.getValue(ctx.expr(0)) + ctx.getChild(1).getText() + + self.getValue(ctx.expr(1))) + + def exitMulDiv(self, ctx): + # Tree annotation for MulDiv which is a labeled subrule of the parser rule expr. + # The subrule is expr = expr (*|/) expr + try: + if ctx.expr(0) in self.vector_expr and ctx.expr(1) in self.vector_expr: + self.setValue(ctx, "_me.outer(" + self.getValue(ctx.expr(0)) + ", " + + self.getValue(ctx.expr(1)) + ")") + else: + if ctx.expr(0) in self.matrix_expr or ctx.expr(1) in self.matrix_expr: + self.matrix_expr.append(ctx) + if ctx.expr(0) in self.vector_expr or ctx.expr(1) in self.vector_expr: + self.vector_expr.append(ctx) + if ctx.expr(0) in self.numeric_expr and ctx.expr(1) in self.numeric_expr: + self.numeric_expr.append(ctx) + self.setValue(ctx, self.getValue(ctx.expr(0)) + ctx.getChild(1).getText() + + self.getValue(ctx.expr(1))) + except Exception: + pass + + def exitNegativeOne(self, ctx): + # Tree annotation for negativeOne which is a labeled subrule of the parser rule expr. + self.setValue(ctx, "-1*" + self.getValue(ctx.getChild(1))) + if ctx.getChild(1) in self.matrix_expr: + self.matrix_expr.append(ctx) + if ctx.getChild(1) in self.numeric_expr: + self.numeric_expr.append(ctx) + + def exitParens(self, ctx): + # Tree annotation for parens which is a labeled subrule of the parser rule expr. + # The subrule is expr = '(' expr ')' + if ctx.expr() in self.matrix_expr: + self.matrix_expr.append(ctx) + if ctx.expr() in self.vector_expr: + self.vector_expr.append(ctx) + if ctx.expr() in self.numeric_expr: + self.numeric_expr.append(ctx) + self.setValue(ctx, "(" + self.getValue(ctx.expr()) + ")") + + def exitExponent(self, ctx): + # Tree annotation for Exponent which is a labeled subrule of the parser rule expr. + # The subrule is expr = expr ^ expr + if ctx.expr(0) in self.matrix_expr or ctx.expr(1) in self.matrix_expr: + self.matrix_expr.append(ctx) + if ctx.expr(0) in self.vector_expr or ctx.expr(1) in self.vector_expr: + self.vector_expr.append(ctx) + if ctx.expr(0) in self.numeric_expr and ctx.expr(1) in self.numeric_expr: + self.numeric_expr.append(ctx) + self.setValue(ctx, self.getValue(ctx.expr(0)) + "**" + self.getValue(ctx.expr(1))) + + def exitExp(self, ctx): + s = ctx.EXP().getText()[ctx.EXP().getText().index('E')+1:] + if "-" in s: + s = s[0] + s[1:].lstrip("0") + else: + s = s.lstrip("0") + self.setValue(ctx, ctx.EXP().getText()[:ctx.EXP().getText().index('E')] + + "*10**(" + s + ")") + + def exitFunction(self, ctx): + # Tree annotation for function which is a labeled subrule of the parser rule expr. + + # The difference between this and FunctionCall is that this is used for non standalone functions + # appearing in expressions and assignments. + # Eg: + # When we come across a standalone function say Expand(E, n:m) then it is categorized as FunctionCall + # which is a parser rule in itself under rule stat. exitFunctionCall() takes care of it and writes to the file. + # + # On the other hand, while we come across E_diff = D(E, y), we annotate the tree node + # of the function D(E, y) with the SymPy equivalent in exitFunction(). + # In this case it is the method exitAssignment() that writes the code to the file and not exitFunction(). + + ch = ctx.getChild(0) + func_name = ch.getChild(0).getText().lower() + + # Expand(y, n:m) * + if func_name == "expand": + expr = self.getValue(ch.expr(0)) + if ch.expr(0) in self.matrix_expr or (expr in self.type.keys() and self.type[expr] == "matrix"): + self.matrix_expr.append(ctx) + # _sm.Matrix([i.expand() for i in z]).reshape(z.shape[0], z.shape[1]) + self.setValue(ctx, "_sm.Matrix([i.expand() for i in " + expr + "])" + + ".reshape((" + expr + ").shape[0], " + "(" + expr + ").shape[1])") + else: + self.setValue(ctx, "(" + expr + ")" + "." + "expand()") + + # Factor(y, x) * + elif func_name == "factor": + expr = self.getValue(ch.expr(0)) + if ch.expr(0) in self.matrix_expr or (expr in self.type.keys() and self.type[expr] == "matrix"): + self.matrix_expr.append(ctx) + self.setValue(ctx, "_sm.Matrix([_sm.factor(i, " + self.getValue(ch.expr(1)) + ") for i in " + + expr + "])" + ".reshape((" + expr + ").shape[0], " + "(" + expr + ").shape[1])") + else: + self.setValue(ctx, "_sm.factor(" + "(" + expr + ")" + + ", " + self.getValue(ch.expr(1)) + ")") + + # D(y, x) + elif func_name == "d": + expr = self.getValue(ch.expr(0)) + if ch.expr(0) in self.matrix_expr or (expr in self.type.keys() and self.type[expr] == "matrix"): + self.matrix_expr.append(ctx) + self.setValue(ctx, "_sm.Matrix([i.diff(" + self.getValue(ch.expr(1)) + ") for i in " + + expr + "])" + ".reshape((" + expr + ").shape[0], " + "(" + expr + ").shape[1])") + else: + if ch.getChildCount() == 8: + frame = self.symbol_table2[ch.expr(2).getText().lower()] + self.setValue(ctx, "(" + expr + ")" + "." + "diff(" + self.getValue(ch.expr(1)) + + ", " + frame + ")") + else: + self.setValue(ctx, "(" + expr + ")" + "." + "diff(" + + self.getValue(ch.expr(1)) + ")") + + # Dt(y) + elif func_name == "dt": + expr = self.getValue(ch.expr(0)) + if ch.expr(0) in self.vector_expr: + text = "dt(" + else: + text = "diff(_sm.Symbol('t')" + if ch.expr(0) in self.matrix_expr or (expr in self.type.keys() and self.type[expr] == "matrix"): + self.matrix_expr.append(ctx) + self.setValue(ctx, "_sm.Matrix([i." + text + + ") for i in " + expr + "])" + + ".reshape((" + expr + ").shape[0], " + "(" + expr + ").shape[1])") + else: + if ch.getChildCount() == 6: + frame = self.symbol_table2[ch.expr(1).getText().lower()] + self.setValue(ctx, "(" + expr + ")" + "." + "dt(" + + frame + ")") + else: + self.setValue(ctx, "(" + expr + ")" + "." + text + ")") + + # Explicit(EXPRESS(IMPLICIT>,C)) + elif func_name == "explicit": + if ch.expr(0) in self.vector_expr: + self.vector_expr.append(ctx) + expr = self.getValue(ch.expr(0)) + if self.explicit.keys(): + explicit_list = [] + for i in self.explicit.keys(): + explicit_list.append(i + ":" + self.explicit[i]) + self.setValue(ctx, "(" + expr + ")" + ".subs({" + ", ".join(explicit_list) + "})") + else: + self.setValue(ctx, expr) + + # Taylor(y, 0:2, w=a, x=0) + # TODO: Currently only works with symbols. Make it work for dynamicsymbols. + elif func_name == "taylor": + exp = self.getValue(ch.expr(0)) + order = self.getValue(ch.expr(1).expr(1)) + x = (ch.getChildCount()-6)//2 + l = [] + for i in range(x): + index = 2 + i + child = ch.expr(index) + l.append(".series(" + self.getValue(child.getChild(0)) + + ", " + self.getValue(child.getChild(2)) + + ", " + order + ").removeO()") + self.setValue(ctx, "(" + exp + ")" + "".join(l)) + + # Evaluate(y, a=x, b=2) + elif func_name == "evaluate": + expr = self.getValue(ch.expr(0)) + l = [] + x = (ch.getChildCount()-4)//2 + for i in range(x): + index = 1 + i + child = ch.expr(index) + l.append(self.getValue(child.getChild(0)) + ":" + + self.getValue(child.getChild(2))) + + if ch.expr(0) in self.matrix_expr or (expr in self.type.keys() and self.type[expr] == "matrix"): + self.matrix_expr.append(ctx) + self.setValue(ctx, "_sm.Matrix([i.subs({" + ",".join(l) + "}) for i in " + + expr + "])" + + ".reshape((" + expr + ").shape[0], " + "(" + expr + ").shape[1])") + else: + if self.explicit: + explicit_list = [] + for i in self.explicit.keys(): + explicit_list.append(i + ":" + self.explicit[i]) + self.setValue(ctx, "(" + expr + ")" + ".subs({" + ",".join(explicit_list) + + "}).subs({" + ",".join(l) + "})") + else: + self.setValue(ctx, "(" + expr + ")" + ".subs({" + ",".join(l) + "})") + + # Polynomial([a, b, c], x) + elif func_name == "polynomial": + self.setValue(ctx, "_sm.Poly(" + self.getValue(ch.expr(0)) + ", " + + self.getValue(ch.expr(1)) + ")") + + # Roots(Poly, x, 2) + # Roots([1; 2; 3; 4]) + elif func_name == "roots": + self.matrix_expr.append(ctx) + expr = self.getValue(ch.expr(0)) + if ch.expr(0) in self.matrix_expr or (expr in self.type.keys() and self.type[expr] == "matrix"): + self.setValue(ctx, "[i.evalf() for i in " + "_sm.solve(" + + "_sm.Poly(" + expr + ", " + "x),x)]") + else: + self.setValue(ctx, "[i.evalf() for i in " + "_sm.solve(" + + expr + ", " + self.getValue(ch.expr(1)) + ")]") + + # Transpose(A), Inv(A) + elif func_name in ("transpose", "inv", "inverse"): + self.matrix_expr.append(ctx) + if func_name == "transpose": + e = ".T" + elif func_name in ("inv", "inverse"): + e = "**(-1)" + self.setValue(ctx, "(" + self.getValue(ch.expr(0)) + ")" + e) + + # Eig(A) + elif func_name == "eig": + # "_sm.Matrix([i.evalf() for i in " + + self.setValue(ctx, "_sm.Matrix([i.evalf() for i in (" + + self.getValue(ch.expr(0)) + ").eigenvals().keys()])") + + # Diagmat(n, m, x) + # Diagmat(3, 1) + elif func_name == "diagmat": + self.matrix_expr.append(ctx) + if ch.getChildCount() == 6: + l = [] + for i in range(int(self.getValue(ch.expr(0)))): + l.append(self.getValue(ch.expr(1)) + ",") + + self.setValue(ctx, "_sm.diag(" + ("".join(l))[:-1] + ")") + + elif ch.getChildCount() == 8: + # _sm.Matrix([x if i==j else 0 for i in range(n) for j in range(m)]).reshape(n, m) + n = self.getValue(ch.expr(0)) + m = self.getValue(ch.expr(1)) + x = self.getValue(ch.expr(2)) + self.setValue(ctx, "_sm.Matrix([" + x + " if i==j else 0 for i in range(" + + n + ") for j in range(" + m + ")]).reshape(" + n + ", " + m + ")") + + # Cols(A) + # Cols(A, 1) + # Cols(A, 1, 2:4, 3) + elif func_name in ("cols", "rows"): + self.matrix_expr.append(ctx) + if func_name == "cols": + e1 = ".cols" + e2 = ".T." + else: + e1 = ".rows" + e2 = "." + if ch.getChildCount() == 4: + self.setValue(ctx, "(" + self.getValue(ch.expr(0)) + ")" + e1) + elif ch.getChildCount() == 6: + self.setValue(ctx, "(" + self.getValue(ch.expr(0)) + ")" + + e1[:-1] + "(" + str(int(self.getValue(ch.expr(1))) - 1) + ")") + else: + l = [] + for i in range(4, ch.getChildCount()): + try: + if ch.getChild(i).getChildCount() > 1 and ch.getChild(i).getChild(1).getText() == ":": + for j in range(int(ch.getChild(i).getChild(0).getText()), + int(ch.getChild(i).getChild(2).getText())+1): + l.append("(" + self.getValue(ch.getChild(2)) + ")" + e2 + + "row(" + str(j-1) + ")") + else: + l.append("(" + self.getValue(ch.getChild(2)) + ")" + e2 + + "row(" + str(int(ch.getChild(i).getText())-1) + ")") + except Exception: + pass + self.setValue(ctx, "_sm.Matrix([" + ",".join(l) + "])") + + # Det(A) Trace(A) + elif func_name in ["det", "trace"]: + self.setValue(ctx, "(" + self.getValue(ch.expr(0)) + ")" + "." + + func_name + "()") + + # Element(A, 2, 3) + elif func_name == "element": + self.setValue(ctx, "(" + self.getValue(ch.expr(0)) + ")" + "[" + + str(int(self.getValue(ch.expr(1)))-1) + "," + + str(int(self.getValue(ch.expr(2)))-1) + "]") + + elif func_name in \ + ["cos", "sin", "tan", "cosh", "sinh", "tanh", "acos", "asin", "atan", + "log", "exp", "sqrt", "factorial", "floor", "sign"]: + self.setValue(ctx, "_sm." + func_name + "(" + self.getValue(ch.expr(0)) + ")") + + elif func_name == "ceil": + self.setValue(ctx, "_sm.ceiling" + "(" + self.getValue(ch.expr(0)) + ")") + + elif func_name == "sqr": + self.setValue(ctx, "(" + self.getValue(ch.expr(0)) + + ")" + "**2") + + elif func_name == "log10": + self.setValue(ctx, "_sm.log" + + "(" + self.getValue(ch.expr(0)) + ", 10)") + + elif func_name == "atan2": + self.setValue(ctx, "_sm.atan2" + "(" + self.getValue(ch.expr(0)) + ", " + + self.getValue(ch.expr(1)) + ")") + + elif func_name in ["int", "round"]: + self.setValue(ctx, func_name + + "(" + self.getValue(ch.expr(0)) + ")") + + elif func_name == "abs": + self.setValue(ctx, "_sm.Abs(" + self.getValue(ch.expr(0)) + ")") + + elif func_name in ["max", "min"]: + # max(x, y, z) + l = [] + for i in range(1, ch.getChildCount()): + if ch.getChild(i) in self.tree_property.keys(): + l.append(self.getValue(ch.getChild(i))) + elif ch.getChild(i).getText() in [",", "(", ")"]: + l.append(ch.getChild(i).getText()) + self.setValue(ctx, "_sm." + ch.getChild(0).getText().capitalize() + "".join(l)) + + # Coef(y, x) + elif func_name == "coef": + #A41_A53=COEF([RHS(U4);RHS(U5)],[U1,U2,U3]) + if ch.expr(0) in self.matrix_expr and ch.expr(1) in self.matrix_expr: + icount = jcount = 0 + for i in range(ch.expr(0).getChild(0).getChildCount()): + try: + ch.expr(0).getChild(0).getChild(i).getRuleIndex() + icount+=1 + except Exception: + pass + for j in range(ch.expr(1).getChild(0).getChildCount()): + try: + ch.expr(1).getChild(0).getChild(j).getRuleIndex() + jcount+=1 + except Exception: + pass + l = [] + for i in range(icount): + for j in range(jcount): + # a41_a53[i,j] = u4.expand().coeff(u1) + l.append(self.getValue(ch.expr(0).getChild(0).expr(i)) + ".expand().coeff(" + + self.getValue(ch.expr(1).getChild(0).expr(j)) + ")") + self.setValue(ctx, "_sm.Matrix([" + ", ".join(l) + "]).reshape(" + str(icount) + ", " + str(jcount) + ")") + else: + self.setValue(ctx, "(" + self.getValue(ch.expr(0)) + + ")" + ".expand().coeff(" + self.getValue(ch.expr(1)) + ")") + + # Exclude(y, x) Include(y, x) + elif func_name in ("exclude", "include"): + if func_name == "exclude": + e = "0" + else: + e = "1" + expr = self.getValue(ch.expr(0)) + if ch.expr(0) in self.matrix_expr or (expr in self.type.keys() and self.type[expr] == "matrix"): + self.matrix_expr.append(ctx) + self.setValue(ctx, "_sm.Matrix([i.collect(" + self.getValue(ch.expr(1)) + "])" + + ".coeff(" + self.getValue(ch.expr(1)) + "," + e + ")" + "for i in " + expr + ")" + + ".reshape((" + expr + ").shape[0], " + "(" + expr + ").shape[1])") + else: + self.setValue(ctx, "(" + expr + + ")" + ".collect(" + self.getValue(ch.expr(1)) + ")" + + ".coeff(" + self.getValue(ch.expr(1)) + "," + e + ")") + + # RHS(y) + elif func_name == "rhs": + self.setValue(ctx, self.explicit[self.getValue(ch.expr(0))]) + + # Arrange(y, n, x) * + elif func_name == "arrange": + expr = self.getValue(ch.expr(0)) + if ch.expr(0) in self.matrix_expr or (expr in self.type.keys() and self.type[expr] == "matrix"): + self.matrix_expr.append(ctx) + self.setValue(ctx, "_sm.Matrix([i.collect(" + self.getValue(ch.expr(2)) + + ")" + "for i in " + expr + "])"+ + ".reshape((" + expr + ").shape[0], " + "(" + expr + ").shape[1])") + else: + self.setValue(ctx, "(" + expr + + ")" + ".collect(" + self.getValue(ch.expr(2)) + ")") + + # Replace(y, sin(x)=3) + elif func_name == "replace": + l = [] + for i in range(1, ch.getChildCount()): + try: + if ch.getChild(i).getChild(1).getText() == "=": + l.append(self.getValue(ch.getChild(i).getChild(0)) + + ":" + self.getValue(ch.getChild(i).getChild(2))) + except Exception: + pass + expr = self.getValue(ch.expr(0)) + if ch.expr(0) in self.matrix_expr or (expr in self.type.keys() and self.type[expr] == "matrix"): + self.matrix_expr.append(ctx) + self.setValue(ctx, "_sm.Matrix([i.subs({" + ",".join(l) + "}) for i in " + + expr + "])" + + ".reshape((" + expr + ").shape[0], " + "(" + expr + ").shape[1])") + else: + self.setValue(ctx, "(" + self.getValue(ch.expr(0)) + ")" + + ".subs({" + ",".join(l) + "})") + + # Dot(Loop>, N1>) + elif func_name == "dot": + l = [] + num = (ch.expr(1).getChild(0).getChildCount()-1)//2 + if ch.expr(1) in self.matrix_expr: + for i in range(num): + l.append("_me.dot(" + self.getValue(ch.expr(0)) + ", " + self.getValue(ch.expr(1).getChild(0).expr(i)) + ")") + self.setValue(ctx, "_sm.Matrix([" + ",".join(l) + "]).reshape(" + str(num) + ", " + "1)") + else: + self.setValue(ctx, "_me.dot(" + self.getValue(ch.expr(0)) + ", " + self.getValue(ch.expr(1)) + ")") + # Cross(w_A_N>, P_NA_AB>) + elif func_name == "cross": + self.vector_expr.append(ctx) + self.setValue(ctx, "_me.cross(" + self.getValue(ch.expr(0)) + ", " + self.getValue(ch.expr(1)) + ")") + + # Mag(P_O_Q>) + elif func_name == "mag": + self.setValue(ctx, self.getValue(ch.expr(0)) + "." + "magnitude()") + + # MATRIX(A, I_R>>) + elif func_name == "matrix": + if self.type2[ch.expr(0).getText().lower()] == "frame": + text = "" + elif self.type2[ch.expr(0).getText().lower()] == "bodies": + text = "_f" + self.setValue(ctx, "(" + self.getValue(ch.expr(1)) + ")" + ".to_matrix(" + + self.symbol_table2[ch.expr(0).getText().lower()] + text + ")") + + # VECTOR(A, ROWS(EIGVECS,1)) + elif func_name == "vector": + if self.type2[ch.expr(0).getText().lower()] == "frame": + text = "" + elif self.type2[ch.expr(0).getText().lower()] == "bodies": + text = "_f" + v = self.getValue(ch.expr(1)) + f = self.symbol_table2[ch.expr(0).getText().lower()] + text + self.setValue(ctx, v + "[0]*" + f + ".x +" + v + "[1]*" + f + ".y +" + + v + "[2]*" + f + ".z") + + # Express(A2>, B) + # Here I am dealing with all the Inertia commands as I expect the users to use Inertia + # commands only with Express because SymPy needs the Reference frame to be specified unlike Autolev. + elif func_name == "express": + self.vector_expr.append(ctx) + if self.type2[ch.expr(1).getText().lower()] == "frame": + frame = self.symbol_table2[ch.expr(1).getText().lower()] + else: + frame = self.symbol_table2[ch.expr(1).getText().lower()] + "_f" + if ch.expr(0).getText().lower() == "1>>": + self.setValue(ctx, "_me.inertia(" + frame + ", 1, 1, 1)") + + elif '_' in ch.expr(0).getText().lower() and ch.expr(0).getText().lower().count('_') == 2\ + and ch.expr(0).getText().lower()[0] == "i" and ch.expr(0).getText().lower()[-2:] == ">>": + v1 = ch.expr(0).getText().lower()[:-2].split('_')[1] + v2 = ch.expr(0).getText().lower()[:-2].split('_')[2] + l = [] + inertia_func(self, v1, v2, l, frame) + self.setValue(ctx, " + ".join(l)) + + elif ch.expr(0).getChild(0).getChild(0).getText().lower() == "inertia": + if ch.expr(0).getChild(0).getChildCount() == 4: + l = [] + v2 = ch.expr(0).getChild(0).ID(0).getText().lower() + for v1 in self.bodies: + inertia_func(self, v1, v2, l, frame) + self.setValue(ctx, " + ".join(l)) + + else: + l = [] + l2 = [] + v2 = ch.expr(0).getChild(0).ID(0).getText().lower() + for i in range(1, (ch.expr(0).getChild(0).getChildCount()-2)//2): + l2.append(ch.expr(0).getChild(0).ID(i).getText().lower()) + for v1 in l2: + inertia_func(self, v1, v2, l, frame) + self.setValue(ctx, " + ".join(l)) + + else: + self.setValue(ctx, "(" + self.getValue(ch.expr(0)) + ")" + ".express(" + + self.symbol_table2[ch.expr(1).getText().lower()] + ")") + # CM(P) + elif func_name == "cm": + if self.type2[ch.expr(0).getText().lower()] == "point": + text = "" + else: + text = ".point" + if ch.getChildCount() == 4: + self.setValue(ctx, "_me.functions.center_of_mass(" + self.symbol_table2[ch.expr(0).getText().lower()] + + text + "," + ", ".join(self.bodies.values()) + ")") + else: + bodies = [] + for i in range(1, (ch.getChildCount()-1)//2): + bodies.append(self.symbol_table2[ch.expr(i).getText().lower()]) + self.setValue(ctx, "_me.functions.center_of_mass(" + self.symbol_table2[ch.expr(0).getText().lower()] + + text + "," + ", ".join(bodies) + ")") + + # PARTIALS(V_P1_E>,U1) + elif func_name == "partials": + speeds = [] + for i in range(1, (ch.getChildCount()-1)//2): + if self.kd_equivalents2: + speeds.append(self.kd_equivalents2[self.symbol_table[ch.expr(i).getText().lower()]]) + else: + speeds.append(self.symbol_table[ch.expr(i).getText().lower()]) + v1, v2, v3 = ch.expr(0).getText().lower().replace(">","").split('_') + if self.type2[v2] == "point": + point = self.symbol_table2[v2] + elif self.type2[v2] == "particle": + point = self.symbol_table2[v2] + ".point" + frame = self.symbol_table2[v3] + self.setValue(ctx, point + ".partial_velocity(" + frame + ", " + ",".join(speeds) + ")") + + # UnitVec(A1>+A2>+A3>) + elif func_name == "unitvec": + self.setValue(ctx, "(" + self.getValue(ch.expr(0)) + ")" + ".normalize()") + + # Units(deg, rad) + elif func_name == "units": + if ch.expr(0).getText().lower() == "deg" and ch.expr(1).getText().lower() == "rad": + factor = 0.0174533 + elif ch.expr(0).getText().lower() == "rad" and ch.expr(1).getText().lower() == "deg": + factor = 57.2958 + self.setValue(ctx, str(factor)) + # Mass(A) + elif func_name == "mass": + l = [] + try: + ch.ID(0).getText().lower() + for i in range((ch.getChildCount()-1)//2): + l.append(self.symbol_table2[ch.ID(i).getText().lower()] + ".mass") + self.setValue(ctx, "+".join(l)) + except Exception: + for i in self.bodies.keys(): + l.append(self.bodies[i] + ".mass") + self.setValue(ctx, "+".join(l)) + + # Fr() FrStar() + # _me.KanesMethod(n, q_ind, u_ind, kd, velocity_constraints).kanes_equations(pl, fl)[0] + elif func_name in ["fr", "frstar"]: + if not self.kane_parsed: + if self.kd_eqs: + for i in self.kd_eqs: + self.q_ind.append(self.symbol_table[i.strip().split('-')[0].replace("'","")]) + self.u_ind.append(self.symbol_table[i.strip().split('-')[1].replace("'","")]) + + for i in range(len(self.kd_eqs)): + self.kd_eqs[i] = self.symbol_table[self.kd_eqs[i].strip().split('-')[0]] + " - " +\ + self.symbol_table[self.kd_eqs[i].strip().split('-')[1]] + + # Do all of this if kd_eqs are not specified + if not self.kd_eqs: + self.kd_eqs_supplied = False + self.matrix_expr.append(ctx) + for i in self.type.keys(): + if self.type[i] == "motionvariable": + if self.sign[self.symbol_table[i.lower()]] == 0: + self.q_ind.append(self.symbol_table[i.lower()]) + elif self.sign[self.symbol_table[i.lower()]] == 1: + name = "u_" + self.symbol_table[i.lower()] + self.symbol_table.update({name: name}) + self.write(name + " = " + "_me.dynamicsymbols('" + name + "')\n") + if self.symbol_table[i.lower()] not in self.dependent_variables: + self.u_ind.append(name) + self.kd_equivalents.update({name: self.symbol_table[i.lower()]}) + else: + self.u_dep.append(name) + self.kd_equivalents.update({name: self.symbol_table[i.lower()]}) + + for i in self.kd_equivalents.keys(): + self.kd_eqs.append(self.kd_equivalents[i] + "-" + i) + + if not self.u_ind and not self.kd_eqs: + self.u_ind = self.q_ind.copy() + self.q_ind = [] + + # deal with velocity constraints + if self.dependent_variables: + for i in self.dependent_variables: + self.u_dep.append(i) + if i in self.u_ind: + self.u_ind.remove(i) + + + self.u_dep[:] = [i for i in self.u_dep if i not in self.kd_equivalents.values()] + + force_list = [] + for i in self.forces.keys(): + force_list.append("(" + i + "," + self.forces[i] + ")") + if self.u_dep: + u_dep_text = ", u_dependent=[" + ", ".join(self.u_dep) + "]" + else: + u_dep_text = "" + if self.dependent_variables: + velocity_constraints_text = ", velocity_constraints = velocity_constraints" + else: + velocity_constraints_text = "" + if ctx.parentCtx not in self.fr_expr: + self.write("kd_eqs = [" + ", ".join(self.kd_eqs) + "]\n") + self.write("forceList = " + "[" + ", ".join(force_list) + "]\n") + self.write("kane = _me.KanesMethod(" + self.newtonian + ", " + "q_ind=[" + + ",".join(self.q_ind) + "], " + "u_ind=[" + + ", ".join(self.u_ind) + "]" + u_dep_text + ", " + + "kd_eqs = kd_eqs" + velocity_constraints_text + ")\n") + self.write("fr, frstar = kane." + "kanes_equations([" + + ", ".join(self.bodies.values()) + "], forceList)\n") + self.fr_expr.append(ctx.parentCtx) + self.kane_parsed = True + self.setValue(ctx, func_name) + + def exitMatrices(self, ctx): + # Tree annotation for Matrices which is a labeled subrule of the parser rule expr. + + # MO = [a, b; c, d] + # we generate _sm.Matrix([a, b, c, d]).reshape(2, 2) + # The reshape values are determined by counting the "," and ";" in the Autolev matrix + + # Eg: + # [1, 2, 3; 4, 5, 6; 7, 8, 9; 10, 11, 12] + # semicolon_count = 3 and rows = 3+1 = 4 + # comma_count = 8 and cols = 8/rows + 1 = 8/4 + 1 = 3 + + # TODO** Parse block matrices + self.matrix_expr.append(ctx) + l = [] + semicolon_count = 0 + comma_count = 0 + for i in range(ctx.matrix().getChildCount()): + child = ctx.matrix().getChild(i) + if child == AutolevParser.ExprContext: + l.append(self.getValue(child)) + elif child.getText() == ";": + semicolon_count += 1 + l.append(",") + elif child.getText() == ",": + comma_count += 1 + l.append(",") + else: + try: + try: + l.append(self.getValue(child)) + except Exception: + l.append(self.symbol_table[child.getText().lower()]) + except Exception: + l.append(child.getText().lower()) + num_of_rows = semicolon_count + 1 + num_of_cols = (comma_count//num_of_rows) + 1 + + self.setValue(ctx, "_sm.Matrix(" + "".join(l) + ")" + ".reshape(" + + str(num_of_rows) + ", " + str(num_of_cols) + ")") + + def exitVectorOrDyadic(self, ctx): + self.vector_expr.append(ctx) + ch = ctx.vec() + + if ch.getChild(0).getText() == "0>": + self.setValue(ctx, "0") + + elif ch.getChild(0).getText() == "1>>": + self.setValue(ctx, "1>>") + + elif "_" in ch.ID().getText() and ch.ID().getText().count('_') == 2: + vec_text = ch.getText().lower() + v1, v2, v3 = ch.ID().getText().lower().split('_') + + if v1 == "p": + if self.type2[v2] == "point": + e2 = self.symbol_table2[v2] + elif self.type2[v2] == "particle": + e2 = self.symbol_table2[v2] + ".point" + if self.type2[v3] == "point": + e3 = self.symbol_table2[v3] + elif self.type2[v3] == "particle": + e3 = self.symbol_table2[v3] + ".point" + get_vec = e3 + ".pos_from(" + e2 + ")" + self.setValue(ctx, get_vec) + + elif v1 in ("w", "alf"): + if v1 == "w": + text = ".ang_vel_in(" + elif v1 == "alf": + text = ".ang_acc_in(" + if self.type2[v2] == "bodies": + e2 = self.symbol_table2[v2] + "_f" + elif self.type2[v2] == "frame": + e2 = self.symbol_table2[v2] + if self.type2[v3] == "bodies": + e3 = self.symbol_table2[v3] + "_f" + elif self.type2[v3] == "frame": + e3 = self.symbol_table2[v3] + get_vec = e2 + text + e3 + ")" + self.setValue(ctx, get_vec) + + elif v1 in ("v", "a"): + if v1 == "v": + text = ".vel(" + elif v1 == "a": + text = ".acc(" + if self.type2[v2] == "point": + e2 = self.symbol_table2[v2] + elif self.type2[v2] == "particle": + e2 = self.symbol_table2[v2] + ".point" + get_vec = e2 + text + self.symbol_table2[v3] + ")" + self.setValue(ctx, get_vec) + + else: + self.setValue(ctx, vec_text.replace(">", "")) + + else: + vec_text = ch.getText().lower() + name = self.symbol_table[vec_text] + self.setValue(ctx, name) + + def exitIndexing(self, ctx): + if ctx.getChildCount() == 4: + try: + int_text = str(int(self.getValue(ctx.getChild(2))) - 1) + except Exception: + int_text = self.getValue(ctx.getChild(2)) + " - 1" + self.setValue(ctx, ctx.ID().getText().lower() + "[" + int_text + "]") + elif ctx.getChildCount() == 6: + try: + int_text1 = str(int(self.getValue(ctx.getChild(2))) - 1) + except Exception: + int_text1 = self.getValue(ctx.getChild(2)) + " - 1" + try: + int_text2 = str(int(self.getValue(ctx.getChild(4))) - 1) + except Exception: + int_text2 = self.getValue(ctx.getChild(2)) + " - 1" + self.setValue(ctx, ctx.ID().getText().lower() + "[" + int_text1 + ", " + int_text2 + "]") + + + # ================== Subrules of parser rule expr (End) ====================== # + + def exitRegularAssign(self, ctx): + # Handle assignments of type ID = expr + if ctx.equals().getText() in ["=", "+=", "-=", "*=", "/="]: + equals = ctx.equals().getText() + elif ctx.equals().getText() == ":=": + equals = " = " + elif ctx.equals().getText() == "^=": + equals = "**=" + + try: + a = ctx.ID().getText().lower() + "'"*ctx.diff().getText().count("'") + except Exception: + a = ctx.ID().getText().lower() + + if a in self.type.keys() and self.type[a] in ("motionvariable", "motionvariable'") and\ + self.type[ctx.expr().getText().lower()] in ("motionvariable", "motionvariable'"): + b = ctx.expr().getText().lower() + if "'" in b and "'" not in a: + a, b = b, a + if not self.kane_parsed: + self.kd_eqs.append(a + "-" + b) + self.kd_equivalents.update({self.symbol_table[a]: + self.symbol_table[b]}) + self.kd_equivalents2.update({self.symbol_table[b]: + self.symbol_table[a]}) + + if a in self.symbol_table.keys() and a in self.type.keys() and self.type[a] in ("variable", "motionvariable"): + self.explicit.update({self.symbol_table[a]: self.getValue(ctx.expr())}) + + else: + if ctx.expr() in self.matrix_expr: + self.type.update({a: "matrix"}) + + try: + b = self.symbol_table[a] + except KeyError: + self.symbol_table[a] = a + + if "_" in a and a.count("_") == 1: + e1, e2 = a.split('_') + if e1 in self.type2.keys() and self.type2[e1] in ("frame", "bodies")\ + and e2 in self.type2.keys() and self.type2[e2] in ("frame", "bodies"): + if self.type2[e1] == "bodies": + t1 = "_f" + else: + t1 = "" + if self.type2[e2] == "bodies": + t2 = "_f" + else: + t2 = "" + + self.write(self.symbol_table2[e2] + t2 + ".orient(" + self.symbol_table2[e1] + + t1 + ", 'DCM', " + self.getValue(ctx.expr()) + ")\n") + else: + self.write(self.symbol_table[a] + " " + equals + " " + + self.getValue(ctx.expr()) + "\n") + else: + self.write(self.symbol_table[a] + " " + equals + " " + + self.getValue(ctx.expr()) + "\n") + + def exitIndexAssign(self, ctx): + # Handle assignments of type ID[index] = expr + if ctx.equals().getText() in ["=", "+=", "-=", "*=", "/="]: + equals = ctx.equals().getText() + elif ctx.equals().getText() == ":=": + equals = " = " + elif ctx.equals().getText() == "^=": + equals = "**=" + + text = ctx.ID().getText().lower() + self.type.update({text: "matrix"}) + # Handle assignments of type ID[2] = expr + if ctx.index().getChildCount() == 1: + if ctx.index().getChild(0).getText() == "1": + self.type.update({text: "matrix"}) + self.symbol_table.update({text: text}) + self.write(text + " = " + "_sm.Matrix([[0]])\n") + self.write(text + "[0] = " + self.getValue(ctx.expr()) + "\n") + else: + # m = m.row_insert(m.shape[0], _sm.Matrix([[0]])) + self.write(text + " = " + text + + ".row_insert(" + text + ".shape[0]" + ", " + "_sm.Matrix([[0]])" + ")\n") + self.write(text + "[" + text + ".shape[0]-1" + "] = " + self.getValue(ctx.expr()) + "\n") + + # Handle assignments of type ID[2, 2] = expr + elif ctx.index().getChildCount() == 3: + l = [] + try: + l.append(str(int(self.getValue(ctx.index().getChild(0)))-1)) + except Exception: + l.append(self.getValue(ctx.index().getChild(0)) + "-1") + l.append(",") + try: + l.append(str(int(self.getValue(ctx.index().getChild(2)))-1)) + except Exception: + l.append(self.getValue(ctx.index().getChild(2)) + "-1") + self.write(self.symbol_table[ctx.ID().getText().lower()] + + "[" + "".join(l) + "]" + " " + equals + " " + self.getValue(ctx.expr()) + "\n") + + def exitVecAssign(self, ctx): + # Handle assignments of the type vec = expr + ch = ctx.vec() + vec_text = ch.getText().lower() + + if "_" in ch.ID().getText(): + num = ch.ID().getText().count('_') + + if num == 2: + v1, v2, v3 = ch.ID().getText().lower().split('_') + + if v1 == "p": + if self.type2[v2] == "point": + e2 = self.symbol_table2[v2] + elif self.type2[v2] == "particle": + e2 = self.symbol_table2[v2] + ".point" + if self.type2[v3] == "point": + e3 = self.symbol_table2[v3] + elif self.type2[v3] == "particle": + e3 = self.symbol_table2[v3] + ".point" + # ab.set_pos(na, la*a.x) + self.write(e3 + ".set_pos(" + e2 + ", " + self.getValue(ctx.expr()) + ")\n") + + elif v1 in ("w", "alf"): + if v1 == "w": + text = ".set_ang_vel(" + elif v1 == "alf": + text = ".set_ang_acc(" + # a.set_ang_vel(n, qad*a.z) + if self.type2[v2] == "bodies": + e2 = self.symbol_table2[v2] + "_f" + else: + e2 = self.symbol_table2[v2] + if self.type2[v3] == "bodies": + e3 = self.symbol_table2[v3] + "_f" + else: + e3 = self.symbol_table2[v3] + self.write(e2 + text + e3 + ", " + self.getValue(ctx.expr()) + ")\n") + + elif v1 in ("v", "a"): + if v1 == "v": + text = ".set_vel(" + elif v1 == "a": + text = ".set_acc(" + if self.type2[v2] == "point": + e2 = self.symbol_table2[v2] + elif self.type2[v2] == "particle": + e2 = self.symbol_table2[v2] + ".point" + self.write(e2 + text + self.symbol_table2[v3] + + ", " + self.getValue(ctx.expr()) + ")\n") + elif v1 == "i": + if v2 in self.type2.keys() and self.type2[v2] == "bodies": + self.write(self.symbol_table2[v2] + ".inertia = (" + self.getValue(ctx.expr()) + + ", " + self.symbol_table2[v3] + ")\n") + self.inertia_point.update({v2: v3}) + elif v2 in self.type2.keys() and self.type2[v2] == "particle": + self.write(ch.ID().getText().lower() + " = " + self.getValue(ctx.expr()) + "\n") + else: + self.write(ch.ID().getText().lower() + " = " + self.getValue(ctx.expr()) + "\n") + else: + self.write(ch.ID().getText().lower() + " = " + self.getValue(ctx.expr()) + "\n") + + elif num == 1: + v1, v2 = ch.ID().getText().lower().split('_') + + if v1 in ("force", "torque"): + if self.type2[v2] in ("point", "frame"): + e2 = self.symbol_table2[v2] + elif self.type2[v2] == "particle": + e2 = self.symbol_table2[v2] + ".point" + self.symbol_table.update({vec_text: ch.ID().getText().lower()}) + + if e2 in self.forces.keys(): + self.forces[e2] = self.forces[e2] + " + " + self.getValue(ctx.expr()) + else: + self.forces.update({e2: self.getValue(ctx.expr())}) + self.write(ch.ID().getText().lower() + " = " + self.forces[e2] + "\n") + + else: + name = ch.ID().getText().lower() + self.symbol_table.update({vec_text: name}) + self.write(ch.ID().getText().lower() + " = " + self.getValue(ctx.expr()) + "\n") + else: + name = ch.ID().getText().lower() + self.symbol_table.update({vec_text: name}) + self.write(name + " " + ctx.getChild(1).getText() + " " + self.getValue(ctx.expr()) + "\n") + else: + name = ch.ID().getText().lower() + self.symbol_table.update({vec_text: name}) + self.write(name + " " + ctx.getChild(1).getText() + " " + self.getValue(ctx.expr()) + "\n") + + def enterInputs2(self, ctx): + self.in_inputs = True + + # Inputs + def exitInputs2(self, ctx): + # Stores numerical values given by the input command which + # are used for codegen and numerical analysis. + if ctx.getChildCount() == 3: + try: + self.inputs.update({self.symbol_table[ctx.id_diff().getText().lower()]: self.getValue(ctx.expr(0))}) + except Exception: + self.inputs.update({ctx.id_diff().getText().lower(): self.getValue(ctx.expr(0))}) + elif ctx.getChildCount() == 4: + try: + self.inputs.update({self.symbol_table[ctx.id_diff().getText().lower()]: + (self.getValue(ctx.expr(0)), self.getValue(ctx.expr(1)))}) + except Exception: + self.inputs.update({ctx.id_diff().getText().lower(): + (self.getValue(ctx.expr(0)), self.getValue(ctx.expr(1)))}) + + self.in_inputs = False + + def enterOutputs(self, ctx): + self.in_outputs = True + def exitOutputs(self, ctx): + self.in_outputs = False + + def exitOutputs2(self, ctx): + try: + if "[" in ctx.expr(1).getText(): + self.outputs.append(self.symbol_table[ctx.expr(0).getText().lower()] + + ctx.expr(1).getText().lower()) + else: + self.outputs.append(self.symbol_table[ctx.expr(0).getText().lower()]) + + except Exception: + pass + + # Code commands + def exitCodegen(self, ctx): + # Handles the CODE() command ie the solvers and the codgen part. + # Uses linsolve for the algebraic solvers and nsolve for non linear solvers. + + if ctx.functionCall().getChild(0).getText().lower() == "algebraic": + matrix_name = self.getValue(ctx.functionCall().expr(0)) + e = [] + d = [] + for i in range(1, (ctx.functionCall().getChildCount()-2)//2): + a = self.getValue(ctx.functionCall().expr(i)) + e.append(a) + + for i in self.inputs.keys(): + d.append(i + ":" + self.inputs[i]) + self.write(matrix_name + "_list" + " = " + "[]\n") + self.write("for i in " + matrix_name + ": " + matrix_name + + "_list" + ".append(i.subs({" + ", ".join(d) + "}))\n") + self.write("print(_sm.linsolve(" + matrix_name + "_list" + ", " + ",".join(e) + "))\n") + + elif ctx.functionCall().getChild(0).getText().lower() == "nonlinear": + e = [] + d = [] + guess = [] + for i in range(1, (ctx.functionCall().getChildCount()-2)//2): + a = self.getValue(ctx.functionCall().expr(i)) + e.append(a) + #print(self.inputs) + for i in self.inputs.keys(): + if i in self.symbol_table.keys(): + if type(self.inputs[i]) is tuple: + j, z = self.inputs[i] + else: + j = self.inputs[i] + z = "" + if i not in e: + if z == "deg": + d.append(i + ":" + "_np.deg2rad(" + j + ")") + else: + d.append(i + ":" + j) + else: + if z == "deg": + guess.append("_np.deg2rad(" + j + ")") + else: + guess.append(j) + + self.write("matrix_list" + " = " + "[]\n") + self.write("for i in " + self.getValue(ctx.functionCall().expr(0)) + ":") + self.write("matrix_list" + ".append(i.subs({" + ", ".join(d) + "}))\n") + self.write("print(_sm.nsolve(matrix_list," + "(" + ",".join(e) + ")" + + ",(" + ",".join(guess) + ")" + "))\n") + + elif ctx.functionCall().getChild(0).getText().lower() in ["ode", "dynamics"] and self.include_numeric: + if self.kane_type == "no_args": + for i in self.symbol_table.keys(): + try: + if self.type[i] == "constants" or self.type[self.symbol_table[i]] == "constants": + self.constants.append(self.symbol_table[i]) + except Exception: + pass + q_add_u = self.q_ind + self.q_dep + self.u_ind + self.u_dep + x0 = [] + for i in q_add_u: + try: + if i in self.inputs.keys(): + if type(self.inputs[i]) is tuple: + if self.inputs[i][1] == "deg": + x0.append(i + ":" + "_np.deg2rad(" + self.inputs[i][0] + ")") + else: + x0.append(i + ":" + self.inputs[i][0]) + else: + x0.append(i + ":" + self.inputs[i]) + elif self.kd_equivalents[i] in self.inputs.keys(): + if type(self.inputs[self.kd_equivalents[i]]) is tuple: + x0.append(i + ":" + self.inputs[self.kd_equivalents[i]][0]) + else: + x0.append(i + ":" + self.inputs[self.kd_equivalents[i]]) + except Exception: + pass + + # numerical constants + numerical_constants = [] + for i in self.constants: + if i in self.inputs.keys(): + if type(self.inputs[i]) is tuple: + numerical_constants.append(self.inputs[i][0]) + else: + numerical_constants.append(self.inputs[i]) + + # t = linspace + t_final = self.inputs["tfinal"] + integ_stp = self.inputs["integstp"] + + self.write("from pydy.system import System\n") + const_list = [] + if numerical_constants: + for i in range(len(self.constants)): + const_list.append(self.constants[i] + ":" + numerical_constants[i]) + specifieds = [] + if self.t: + specifieds.append("_me.dynamicsymbols('t')" + ":" + "lambda x, t: t") + + for i in self.inputs: + if i in self.symbol_table.keys() and self.symbol_table[i] not in\ + self.constants + self.q_ind + self.q_dep + self.u_ind + self.u_dep: + specifieds.append(self.symbol_table[i] + ":" + self.inputs[i]) + + self.write("sys = System(kane, constants = {" + ", ".join(const_list) + "},\n" + + "specifieds={" + ", ".join(specifieds) + "},\n" + + "initial_conditions={" + ", ".join(x0) + "},\n" + + "times = _np.linspace(0.0, " + str(t_final) + ", " + str(t_final) + + "/" + str(integ_stp) + "))\n\ny=sys.integrate()\n") + + # For outputs other than qs and us. + other_outputs = [] + for i in self.outputs: + if i not in q_add_u: + if "[" in i: + other_outputs.append((i[:-3] + i[-2], i[:-3] + "[" + str(int(i[-2])-1) + "]")) + else: + other_outputs.append((i, i)) + + for i in other_outputs: + self.write(i[0] + "_out" + " = " + "[]\n") + if other_outputs: + self.write("for i in y:\n") + self.write(" q_u_dict = dict(zip(sys.coordinates+sys.speeds, i))\n") + for i in other_outputs: + self.write(" "*4 + i[0] + "_out" + ".append(" + i[1] + ".subs(q_u_dict)" + + ".subs(sys.constants).evalf())\n") + + # Standalone function calls (used for dual functions) + def exitFunctionCall(self, ctx): + # Basically deals with standalone function calls ie functions which are not a part of + # expressions and assignments. Autolev Dual functions can both appear in standalone + # function calls and also on the right hand side as part of expr or assignment. + + # Dual functions are indicated by a * in the comments below + + # Checks if the function is a statement on its own + if ctx.parentCtx.getRuleIndex() == AutolevParser.RULE_stat: + func_name = ctx.getChild(0).getText().lower() + # Expand(E, n:m) * + if func_name == "expand": + # If the first argument is a pre declared variable. + expr = self.getValue(ctx.expr(0)) + symbol = self.symbol_table[ctx.expr(0).getText().lower()] + if ctx.expr(0) in self.matrix_expr or (expr in self.type.keys() and self.type[expr] == "matrix"): + self.write(symbol + " = " + "_sm.Matrix([i.expand() for i in " + expr + "])" + + ".reshape((" + expr + ").shape[0], " + "(" + expr + ").shape[1])\n") + else: + self.write(symbol + " = " + symbol + "." + "expand()\n") + + # Factor(E, x) * + elif func_name == "factor": + expr = self.getValue(ctx.expr(0)) + symbol = self.symbol_table[ctx.expr(0).getText().lower()] + if ctx.expr(0) in self.matrix_expr or (expr in self.type.keys() and self.type[expr] == "matrix"): + self.write(symbol + " = " + "_sm.Matrix([_sm.factor(i," + self.getValue(ctx.expr(1)) + + ") for i in " + expr + "])" + + ".reshape((" + expr + ").shape[0], " + "(" + expr + ").shape[1])\n") + else: + self.write(expr + " = " + "_sm.factor(" + expr + ", " + + self.getValue(ctx.expr(1)) + ")\n") + + # Solve(Zero, x, y) + elif func_name == "solve": + l = [] + l2 = [] + num = 0 + for i in range(1, ctx.getChildCount()): + if ctx.getChild(i).getText() == ",": + num+=1 + try: + l.append(self.getValue(ctx.getChild(i))) + except Exception: + l.append(ctx.getChild(i).getText()) + + if i != 2: + try: + l2.append(self.getValue(ctx.getChild(i))) + except Exception: + pass + + for i in l2: + self.explicit.update({i: "_sm.solve" + "".join(l) + "[" + i + "]"}) + + self.write("print(_sm.solve" + "".join(l) + ")\n") + + # Arrange(y, n, x) * + elif func_name == "arrange": + expr = self.getValue(ctx.expr(0)) + symbol = self.symbol_table[ctx.expr(0).getText().lower()] + + if ctx.expr(0) in self.matrix_expr or (expr in self.type.keys() and self.type[expr] == "matrix"): + self.write(symbol + " = " + "_sm.Matrix([i.collect(" + self.getValue(ctx.expr(2)) + + ")" + "for i in " + expr + "])" + + ".reshape((" + expr + ").shape[0], " + "(" + expr + ").shape[1])\n") + else: + self.write(self.getValue(ctx.expr(0)) + ".collect(" + + self.getValue(ctx.expr(2)) + ")\n") + + # Eig(M, EigenValue, EigenVec) + elif func_name == "eig": + self.symbol_table.update({ctx.expr(1).getText().lower(): ctx.expr(1).getText().lower()}) + self.symbol_table.update({ctx.expr(2).getText().lower(): ctx.expr(2).getText().lower()}) + # _sm.Matrix([i.evalf() for i in (i_s_so).eigenvals().keys()]) + self.write(ctx.expr(1).getText().lower() + " = " + + "_sm.Matrix([i.evalf() for i in " + + "(" + self.getValue(ctx.expr(0)) + ")" + ".eigenvals().keys()])\n") + # _sm.Matrix([i[2][0].evalf() for i in (i_s_o).eigenvects()]).reshape(i_s_o.shape[0], i_s_o.shape[1]) + self.write(ctx.expr(2).getText().lower() + " = " + + "_sm.Matrix([i[2][0].evalf() for i in " + "(" + self.getValue(ctx.expr(0)) + ")" + + ".eigenvects()]).reshape(" + self.getValue(ctx.expr(0)) + ".shape[0], " + + self.getValue(ctx.expr(0)) + ".shape[1])\n") + + # Simprot(N, A, 3, qA) + elif func_name == "simprot": + # A.orient(N, 'Axis', qA, N.z) + if self.type2[ctx.expr(0).getText().lower()] == "frame": + frame1 = self.symbol_table2[ctx.expr(0).getText().lower()] + elif self.type2[ctx.expr(0).getText().lower()] == "bodies": + frame1 = self.symbol_table2[ctx.expr(0).getText().lower()] + "_f" + if self.type2[ctx.expr(1).getText().lower()] == "frame": + frame2 = self.symbol_table2[ctx.expr(1).getText().lower()] + elif self.type2[ctx.expr(1).getText().lower()] == "bodies": + frame2 = self.symbol_table2[ctx.expr(1).getText().lower()] + "_f" + e2 = "" + if ctx.expr(2).getText()[0] == "-": + e2 = "-1*" + if ctx.expr(2).getText() in ("1", "-1"): + e = frame1 + ".x" + elif ctx.expr(2).getText() in ("2", "-2"): + e = frame1 + ".y" + elif ctx.expr(2).getText() in ("3", "-3"): + e = frame1 + ".z" + else: + e = self.getValue(ctx.expr(2)) + e2 = "" + + if "degrees" in self.settings.keys() and self.settings["degrees"] == "off": + value = self.getValue(ctx.expr(3)) + else: + if ctx.expr(3) in self.numeric_expr: + value = "_np.deg2rad(" + self.getValue(ctx.expr(3)) + ")" + else: + value = self.getValue(ctx.expr(3)) + self.write(frame2 + ".orient(" + frame1 + + ", " + "'Axis'" + ", " + "[" + value + + ", " + e2 + e + "]" + ")\n") + + # Express(A2>, B) * + elif func_name == "express": + if self.type2[ctx.expr(1).getText().lower()] == "bodies": + f = "_f" + else: + f = "" + + if '_' in ctx.expr(0).getText().lower() and ctx.expr(0).getText().count('_') == 2: + vec = ctx.expr(0).getText().lower().replace(">", "").split('_') + v1 = self.symbol_table2[vec[1]] + v2 = self.symbol_table2[vec[2]] + if vec[0] == "p": + self.write(v2 + ".set_pos(" + v1 + ", " + "(" + self.getValue(ctx.expr(0)) + + ")" + ".express(" + self.symbol_table2[ctx.expr(1).getText().lower()] + f + "))\n") + elif vec[0] == "v": + self.write(v1 + ".set_vel(" + v2 + ", " + "(" + self.getValue(ctx.expr(0)) + + ")" + ".express(" + self.symbol_table2[ctx.expr(1).getText().lower()] + f + "))\n") + elif vec[0] == "a": + self.write(v1 + ".set_acc(" + v2 + ", " + "(" + self.getValue(ctx.expr(0)) + + ")" + ".express(" + self.symbol_table2[ctx.expr(1).getText().lower()] + f + "))\n") + else: + self.write(self.getValue(ctx.expr(0)) + " = " + "(" + self.getValue(ctx.expr(0)) + ")" + ".express(" + + self.symbol_table2[ctx.expr(1).getText().lower()] + f + ")\n") + else: + self.write(self.getValue(ctx.expr(0)) + " = " + "(" + self.getValue(ctx.expr(0)) + ")" + ".express(" + + self.symbol_table2[ctx.expr(1).getText().lower()] + f + ")\n") + + # Angvel(A, B) + elif func_name == "angvel": + self.write("print(" + self.symbol_table2[ctx.expr(1).getText().lower()] + + ".ang_vel_in(" + self.symbol_table2[ctx.expr(0).getText().lower()] + "))\n") + + # v2pts(N, A, O, P) + elif func_name in ("v2pts", "a2pts", "v2pt", "a1pt"): + if func_name == "v2pts": + text = ".v2pt_theory(" + elif func_name == "a2pts": + text = ".a2pt_theory(" + elif func_name == "v1pt": + text = ".v1pt_theory(" + elif func_name == "a1pt": + text = ".a1pt_theory(" + if self.type2[ctx.expr(1).getText().lower()] == "frame": + frame = self.symbol_table2[ctx.expr(1).getText().lower()] + elif self.type2[ctx.expr(1).getText().lower()] == "bodies": + frame = self.symbol_table2[ctx.expr(1).getText().lower()] + "_f" + expr_list = [] + for i in range(2, 4): + if self.type2[ctx.expr(i).getText().lower()] == "point": + expr_list.append(self.symbol_table2[ctx.expr(i).getText().lower()]) + elif self.type2[ctx.expr(i).getText().lower()] == "particle": + expr_list.append(self.symbol_table2[ctx.expr(i).getText().lower()] + ".point") + + self.write(expr_list[1] + text + expr_list[0] + + "," + self.symbol_table2[ctx.expr(0).getText().lower()] + "," + + frame + ")\n") + + # Gravity(g*N1>) + elif func_name == "gravity": + for i in self.bodies.keys(): + if self.type2[i] == "bodies": + e = self.symbol_table2[i] + ".masscenter" + elif self.type2[i] == "particle": + e = self.symbol_table2[i] + ".point" + if e in self.forces.keys(): + self.forces[e] = self.forces[e] + self.symbol_table2[i] +\ + ".mass*(" + self.getValue(ctx.expr(0)) + ")" + else: + self.forces.update({e: self.symbol_table2[i] + + ".mass*(" + self.getValue(ctx.expr(0)) + ")"}) + self.write("force_" + i + " = " + self.forces[e] + "\n") + + # Explicit(EXPRESS(IMPLICIT>,C)) + elif func_name == "explicit": + if ctx.expr(0) in self.vector_expr: + self.vector_expr.append(ctx) + expr = self.getValue(ctx.expr(0)) + if self.explicit.keys(): + explicit_list = [] + for i in self.explicit.keys(): + explicit_list.append(i + ":" + self.explicit[i]) + if '_' in ctx.expr(0).getText().lower() and ctx.expr(0).getText().count('_') == 2: + vec = ctx.expr(0).getText().lower().replace(">", "").split('_') + v1 = self.symbol_table2[vec[1]] + v2 = self.symbol_table2[vec[2]] + if vec[0] == "p": + self.write(v2 + ".set_pos(" + v1 + ", " + "(" + expr + + ")" + ".subs({" + ", ".join(explicit_list) + "}))\n") + elif vec[0] == "v": + self.write(v2 + ".set_vel(" + v1 + ", " + "(" + expr + + ")" + ".subs({" + ", ".join(explicit_list) + "}))\n") + elif vec[0] == "a": + self.write(v2 + ".set_acc(" + v1 + ", " + "(" + expr + + ")" + ".subs({" + ", ".join(explicit_list) + "}))\n") + else: + self.write(expr + " = " + "(" + expr + ")" + ".subs({" + ", ".join(explicit_list) + "})\n") + else: + self.write(expr + " = " + "(" + expr + ")" + ".subs({" + ", ".join(explicit_list) + "})\n") + + # Force(O/Q, -k*Stretch*Uvec>) + elif func_name in ("force", "torque"): + + if "/" in ctx.expr(0).getText().lower(): + p1 = ctx.expr(0).getText().lower().split('/')[0] + p2 = ctx.expr(0).getText().lower().split('/')[1] + if self.type2[p1] in ("point", "frame"): + pt1 = self.symbol_table2[p1] + elif self.type2[p1] == "particle": + pt1 = self.symbol_table2[p1] + ".point" + if self.type2[p2] in ("point", "frame"): + pt2 = self.symbol_table2[p2] + elif self.type2[p2] == "particle": + pt2 = self.symbol_table2[p2] + ".point" + if pt1 in self.forces.keys(): + self.forces[pt1] = self.forces[pt1] + " + -1*("+self.getValue(ctx.expr(1)) + ")" + self.write("force_" + p1 + " = " + self.forces[pt1] + "\n") + else: + self.forces.update({pt1: "-1*("+self.getValue(ctx.expr(1)) + ")"}) + self.write("force_" + p1 + " = " + self.forces[pt1] + "\n") + if pt2 in self.forces.keys(): + self.forces[pt2] = self.forces[pt2] + "+ " + self.getValue(ctx.expr(1)) + self.write("force_" + p2 + " = " + self.forces[pt2] + "\n") + else: + self.forces.update({pt2: self.getValue(ctx.expr(1))}) + self.write("force_" + p2 + " = " + self.forces[pt2] + "\n") + + elif ctx.expr(0).getChildCount() == 1: + p1 = ctx.expr(0).getText().lower() + if self.type2[p1] in ("point", "frame"): + pt1 = self.symbol_table2[p1] + elif self.type2[p1] == "particle": + pt1 = self.symbol_table2[p1] + ".point" + if pt1 in self.forces.keys(): + self.forces[pt1] = self.forces[pt1] + "+ -1*(" + self.getValue(ctx.expr(1)) + ")" + else: + self.forces.update({pt1: "-1*(" + self.getValue(ctx.expr(1)) + ")"}) + + # Constrain(Dependent[qB]) + elif func_name == "constrain": + if ctx.getChild(2).getChild(0).getText().lower() == "dependent": + self.write("velocity_constraints = [i for i in dependent]\n") + x = (ctx.expr(0).getChildCount()-2)//2 + for i in range(x): + self.dependent_variables.append(self.getValue(ctx.expr(0).expr(i))) + + # Kane() + elif func_name == "kane": + if ctx.getChildCount() == 3: + self.kane_type = "no_args" + + # Settings + def exitSettings(self, ctx): + # Stores settings like Complex on/off, Degrees on/off etc in self.settings. + try: + self.settings.update({ctx.getChild(0).getText().lower(): + ctx.getChild(1).getText().lower()}) + except Exception: + pass + + def exitMassDecl2(self, ctx): + # Used for declaring the masses of particles and rigidbodies. + particle = self.symbol_table2[ctx.getChild(0).getText().lower()] + if ctx.getText().count("=") == 2: + if ctx.expr().expr(1) in self.numeric_expr: + e = "_sm.S(" + self.getValue(ctx.expr().expr(1)) + ")" + else: + e = self.getValue(ctx.expr().expr(1)) + self.symbol_table.update({ctx.expr().expr(0).getText().lower(): ctx.expr().expr(0).getText().lower()}) + self.write(ctx.expr().expr(0).getText().lower() + " = " + e + "\n") + mass = ctx.expr().expr(0).getText().lower() + else: + try: + if ctx.expr() in self.numeric_expr: + mass = "_sm.S(" + self.getValue(ctx.expr()) + ")" + else: + mass = self.getValue(ctx.expr()) + except Exception: + a_text = ctx.expr().getText().lower() + self.symbol_table.update({a_text: a_text}) + self.type.update({a_text: "constants"}) + self.write(a_text + " = " + "_sm.symbols('" + a_text + "')\n") + mass = a_text + + self.write(particle + ".mass = " + mass + "\n") + + def exitInertiaDecl(self, ctx): + inertia_list = [] + try: + ctx.ID(1).getText() + num = 5 + except Exception: + num = 2 + for i in range((ctx.getChildCount()-num)//2): + try: + if ctx.expr(i) in self.numeric_expr: + inertia_list.append("_sm.S(" + self.getValue(ctx.expr(i)) + ")") + else: + inertia_list.append(self.getValue(ctx.expr(i))) + except Exception: + a_text = ctx.expr(i).getText().lower() + self.symbol_table.update({a_text: a_text}) + self.type.update({a_text: "constants"}) + self.write(a_text + " = " + "_sm.symbols('" + a_text + "')\n") + inertia_list.append(a_text) + + if len(inertia_list) < 6: + for i in range(6-len(inertia_list)): + inertia_list.append("0") + # body_a.inertia = (_me.inertia(body_a, I1, I2, I3, 0, 0, 0), body_a_cm) + try: + frame = self.symbol_table2[ctx.ID(1).getText().lower()] + point = self.symbol_table2[ctx.ID(0).getText().lower().split('_')[1]] + body = self.symbol_table2[ctx.ID(0).getText().lower().split('_')[0]] + self.inertia_point.update({ctx.ID(0).getText().lower().split('_')[0] + : ctx.ID(0).getText().lower().split('_')[1]}) + self.write(body + ".inertia" + " = " + "(_me.inertia(" + frame + ", " + + ", ".join(inertia_list) + "), " + point + ")\n") + + except Exception: + body_name = self.symbol_table2[ctx.ID(0).getText().lower()] + body_name_cm = body_name + "_cm" + self.inertia_point.update({ctx.ID(0).getText().lower(): ctx.ID(0).getText().lower() + "o"}) + self.write(body_name + ".inertia" + " = " + "(_me.inertia(" + body_name + "_f" + ", " + + ", ".join(inertia_list) + "), " + body_name_cm + ")\n") diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/parsing/autolev/_parse_autolev_antlr.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/parsing/autolev/_parse_autolev_antlr.py new file mode 100644 index 0000000000000000000000000000000000000000..e43924aac30903ade996b31921d3960afae90284 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/parsing/autolev/_parse_autolev_antlr.py @@ -0,0 +1,38 @@ +from importlib.metadata import version +from sympy.external import import_module + + +autolevparser = import_module('sympy.parsing.autolev._antlr.autolevparser', + import_kwargs={'fromlist': ['AutolevParser']}) +autolevlexer = import_module('sympy.parsing.autolev._antlr.autolevlexer', + import_kwargs={'fromlist': ['AutolevLexer']}) +autolevlistener = import_module('sympy.parsing.autolev._antlr.autolevlistener', + import_kwargs={'fromlist': ['AutolevListener']}) + +AutolevParser = getattr(autolevparser, 'AutolevParser', None) +AutolevLexer = getattr(autolevlexer, 'AutolevLexer', None) +AutolevListener = getattr(autolevlistener, 'AutolevListener', None) + + +def parse_autolev(autolev_code, include_numeric): + antlr4 = import_module('antlr4') + if not antlr4 or not version('antlr4-python3-runtime').startswith('4.11'): + raise ImportError("Autolev parsing requires the antlr4 Python package," + " provided by pip (antlr4-python3-runtime)" + " conda (antlr-python-runtime), version 4.11") + try: + l = autolev_code.readlines() + input_stream = antlr4.InputStream("".join(l)) + except Exception: + input_stream = antlr4.InputStream(autolev_code) + + if AutolevListener: + from ._listener_autolev_antlr import MyListener + lexer = AutolevLexer(input_stream) + token_stream = antlr4.CommonTokenStream(lexer) + parser = AutolevParser(token_stream) + tree = parser.prog() + my_listener = MyListener(include_numeric) + walker = antlr4.ParseTreeWalker() + walker.walk(my_listener, tree) + return "".join(my_listener.output_code) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/parsing/c/__init__.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/parsing/c/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..18d3d5301cb001c78fc4a9bc04b25aa36f282a93 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/parsing/c/__init__.py @@ -0,0 +1 @@ +"""Used for translating C source code into a SymPy expression""" diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/parsing/c/c_parser.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/parsing/c/c_parser.py new file mode 100644 index 0000000000000000000000000000000000000000..9e7223f8351205272e803773589649fcf1902f15 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/parsing/c/c_parser.py @@ -0,0 +1,1059 @@ +from sympy.external import import_module +import os + +cin = import_module('clang.cindex', import_kwargs = {'fromlist': ['cindex']}) + +""" +This module contains all the necessary Classes and Function used to Parse C and +C++ code into SymPy expression +The module serves as a backend for SymPyExpression to parse C code +It is also dependent on Clang's AST and SymPy's Codegen AST. +The module only supports the features currently supported by the Clang and +codegen AST which will be updated as the development of codegen AST and this +module progresses. +You might find unexpected bugs and exceptions while using the module, feel free +to report them to the SymPy Issue Tracker + +Features Supported +================== + +- Variable Declarations (integers and reals) +- Assignment (using integer & floating literal and function calls) +- Function Definitions and Declaration +- Function Calls +- Compound statements, Return statements + +Notes +===== + +The module is dependent on an external dependency which needs to be installed +to use the features of this module. + +Clang: The C and C++ compiler which is used to extract an AST from the provided +C source code. + +References +========== + +.. [1] https://github.com/sympy/sympy/issues +.. [2] https://clang.llvm.org/docs/ +.. [3] https://clang.llvm.org/docs/IntroductionToTheClangAST.html + +""" + +if cin: + from sympy.codegen.ast import (Variable, Integer, Float, + FunctionPrototype, FunctionDefinition, FunctionCall, + none, Return, Assignment, intc, int8, int16, int64, + uint8, uint16, uint32, uint64, float32, float64, float80, + aug_assign, bool_, While, CodeBlock) + from sympy.codegen.cnodes import (PreDecrement, PostDecrement, + PreIncrement, PostIncrement) + from sympy.core import Add, Mod, Mul, Pow, Rel + from sympy.logic.boolalg import And, as_Boolean, Not, Or + from sympy.core.symbol import Symbol + from sympy.core.sympify import sympify + from sympy.logic.boolalg import (false, true) + import sys + import tempfile + + class BaseParser: + """Base Class for the C parser""" + + def __init__(self): + """Initializes the Base parser creating a Clang AST index""" + self.index = cin.Index.create() + + def diagnostics(self, out): + """Diagostics function for the Clang AST""" + for diag in self.tu.diagnostics: + # tu = translation unit + print('%s %s (line %s, col %s) %s' % ( + { + 4: 'FATAL', + 3: 'ERROR', + 2: 'WARNING', + 1: 'NOTE', + 0: 'IGNORED', + }[diag.severity], + diag.location.file, + diag.location.line, + diag.location.column, + diag.spelling + ), file=out) + + class CCodeConverter(BaseParser): + """The Code Convereter for Clang AST + + The converter object takes the C source code or file as input and + converts them to SymPy Expressions. + """ + + def __init__(self): + """Initializes the code converter""" + super().__init__() + self._py_nodes = [] + self._data_types = { + "void": { + cin.TypeKind.VOID: none + }, + "bool": { + cin.TypeKind.BOOL: bool_ + }, + "int": { + cin.TypeKind.SCHAR: int8, + cin.TypeKind.SHORT: int16, + cin.TypeKind.INT: intc, + cin.TypeKind.LONG: int64, + cin.TypeKind.UCHAR: uint8, + cin.TypeKind.USHORT: uint16, + cin.TypeKind.UINT: uint32, + cin.TypeKind.ULONG: uint64 + }, + "float": { + cin.TypeKind.FLOAT: float32, + cin.TypeKind.DOUBLE: float64, + cin.TypeKind.LONGDOUBLE: float80 + } + } + + def parse(self, filename, flags): + """Function to parse a file with C source code + + It takes the filename as an attribute and creates a Clang AST + Translation Unit parsing the file. + Then the transformation function is called on the translation unit, + whose results are collected into a list which is returned by the + function. + + Parameters + ========== + + filename : string + Path to the C file to be parsed + + flags: list + Arguments to be passed to Clang while parsing the C code + + Returns + ======= + + py_nodes: list + A list of SymPy AST nodes + + """ + filepath = os.path.abspath(filename) + self.tu = self.index.parse( + filepath, + args=flags, + options=cin.TranslationUnit.PARSE_DETAILED_PROCESSING_RECORD + ) + for child in self.tu.cursor.get_children(): + if child.kind == cin.CursorKind.VAR_DECL or child.kind == cin.CursorKind.FUNCTION_DECL: + self._py_nodes.append(self.transform(child)) + return self._py_nodes + + def parse_str(self, source, flags): + """Function to parse a string with C source code + + It takes the source code as an attribute, stores it in a temporary + file and creates a Clang AST Translation Unit parsing the file. + Then the transformation function is called on the translation unit, + whose results are collected into a list which is returned by the + function. + + Parameters + ========== + + source : string + A string containing the C source code to be parsed + + flags: list + Arguments to be passed to Clang while parsing the C code + + Returns + ======= + + py_nodes: list + A list of SymPy AST nodes + + """ + file = tempfile.NamedTemporaryFile(mode = 'w+', suffix = '.cpp') + file.write(source) + file.flush() + file.seek(0) + self.tu = self.index.parse( + file.name, + args=flags, + options=cin.TranslationUnit.PARSE_DETAILED_PROCESSING_RECORD + ) + file.close() + for child in self.tu.cursor.get_children(): + if child.kind == cin.CursorKind.VAR_DECL or child.kind == cin.CursorKind.FUNCTION_DECL: + self._py_nodes.append(self.transform(child)) + return self._py_nodes + + def transform(self, node): + """Transformation Function for Clang AST nodes + + It determines the kind of node and calls the respective + transformation function for that node. + + Raises + ====== + + NotImplementedError : if the transformation for the provided node + is not implemented + + """ + handler = getattr(self, 'transform_%s' % node.kind.name.lower(), None) + + if handler is None: + print( + "Ignoring node of type %s (%s)" % ( + node.kind, + ' '.join( + t.spelling for t in node.get_tokens()) + ), + file=sys.stderr + ) + + return handler(node) + + def transform_var_decl(self, node): + """Transformation Function for Variable Declaration + + Used to create nodes for variable declarations and assignments with + values or function call for the respective nodes in the clang AST + + Returns + ======= + + A variable node as Declaration, with the initial value if given + + Raises + ====== + + NotImplementedError : if called for data types not currently + implemented + + Notes + ===== + + The function currently supports following data types: + + Boolean: + bool, _Bool + + Integer: + 8-bit: signed char and unsigned char + 16-bit: short, short int, signed short, + signed short int, unsigned short, unsigned short int + 32-bit: int, signed int, unsigned int + 64-bit: long, long int, signed long, + signed long int, unsigned long, unsigned long int + + Floating point: + Single Precision: float + Double Precision: double + Extended Precision: long double + + """ + if node.type.kind in self._data_types["int"]: + type = self._data_types["int"][node.type.kind] + elif node.type.kind in self._data_types["float"]: + type = self._data_types["float"][node.type.kind] + elif node.type.kind in self._data_types["bool"]: + type = self._data_types["bool"][node.type.kind] + else: + raise NotImplementedError("Only bool, int " + "and float are supported") + try: + children = node.get_children() + child = next(children) + + #ignoring namespace and type details for the variable + while child.kind == cin.CursorKind.NAMESPACE_REF or child.kind == cin.CursorKind.TYPE_REF: + child = next(children) + + val = self.transform(child) + + supported_rhs = [ + cin.CursorKind.INTEGER_LITERAL, + cin.CursorKind.FLOATING_LITERAL, + cin.CursorKind.UNEXPOSED_EXPR, + cin.CursorKind.BINARY_OPERATOR, + cin.CursorKind.PAREN_EXPR, + cin.CursorKind.UNARY_OPERATOR, + cin.CursorKind.CXX_BOOL_LITERAL_EXPR + ] + + if child.kind in supported_rhs: + if isinstance(val, str): + value = Symbol(val) + elif isinstance(val, bool): + if node.type.kind in self._data_types["int"]: + value = Integer(0) if val == False else Integer(1) + elif node.type.kind in self._data_types["float"]: + value = Float(0.0) if val == False else Float(1.0) + elif node.type.kind in self._data_types["bool"]: + value = sympify(val) + elif isinstance(val, (Integer, int, Float, float)): + if node.type.kind in self._data_types["int"]: + value = Integer(val) + elif node.type.kind in self._data_types["float"]: + value = Float(val) + elif node.type.kind in self._data_types["bool"]: + value = sympify(bool(val)) + else: + value = val + + return Variable( + node.spelling + ).as_Declaration( + type = type, + value = value + ) + + elif child.kind == cin.CursorKind.CALL_EXPR: + return Variable( + node.spelling + ).as_Declaration( + value = val + ) + + else: + raise NotImplementedError("Given " + "variable declaration \"{}\" " + "is not possible to parse yet!" + .format(" ".join( + t.spelling for t in node.get_tokens() + ) + )) + + except StopIteration: + return Variable( + node.spelling + ).as_Declaration( + type = type + ) + + def transform_function_decl(self, node): + """Transformation Function For Function Declaration + + Used to create nodes for function declarations and definitions for + the respective nodes in the clang AST + + Returns + ======= + + function : Codegen AST node + - FunctionPrototype node if function body is not present + - FunctionDefinition node if the function body is present + + + """ + + if node.result_type.kind in self._data_types["int"]: + ret_type = self._data_types["int"][node.result_type.kind] + elif node.result_type.kind in self._data_types["float"]: + ret_type = self._data_types["float"][node.result_type.kind] + elif node.result_type.kind in self._data_types["bool"]: + ret_type = self._data_types["bool"][node.result_type.kind] + elif node.result_type.kind in self._data_types["void"]: + ret_type = self._data_types["void"][node.result_type.kind] + else: + raise NotImplementedError("Only void, bool, int " + "and float are supported") + body = [] + param = [] + + # Subsequent nodes will be the parameters for the function. + for child in node.get_children(): + decl = self.transform(child) + if child.kind == cin.CursorKind.PARM_DECL: + param.append(decl) + elif child.kind == cin.CursorKind.COMPOUND_STMT: + for val in decl: + body.append(val) + else: + body.append(decl) + + if body == []: + function = FunctionPrototype( + return_type = ret_type, + name = node.spelling, + parameters = param + ) + else: + function = FunctionDefinition( + return_type = ret_type, + name = node.spelling, + parameters = param, + body = body + ) + return function + + def transform_parm_decl(self, node): + """Transformation function for Parameter Declaration + + Used to create parameter nodes for the required functions for the + respective nodes in the clang AST + + Returns + ======= + + param : Codegen AST Node + Variable node with the value and type of the variable + + Raises + ====== + + ValueError if multiple children encountered in the parameter node + + """ + if node.type.kind in self._data_types["int"]: + type = self._data_types["int"][node.type.kind] + elif node.type.kind in self._data_types["float"]: + type = self._data_types["float"][node.type.kind] + elif node.type.kind in self._data_types["bool"]: + type = self._data_types["bool"][node.type.kind] + else: + raise NotImplementedError("Only bool, int " + "and float are supported") + try: + children = node.get_children() + child = next(children) + + # Any namespace nodes can be ignored + while child.kind in [cin.CursorKind.NAMESPACE_REF, + cin.CursorKind.TYPE_REF, + cin.CursorKind.TEMPLATE_REF]: + child = next(children) + + # If there is a child, it is the default value of the parameter. + lit = self.transform(child) + if node.type.kind in self._data_types["int"]: + val = Integer(lit) + elif node.type.kind in self._data_types["float"]: + val = Float(lit) + elif node.type.kind in self._data_types["bool"]: + val = sympify(bool(lit)) + else: + raise NotImplementedError("Only bool, int " + "and float are supported") + + param = Variable( + node.spelling + ).as_Declaration( + type = type, + value = val + ) + except StopIteration: + param = Variable( + node.spelling + ).as_Declaration( + type = type + ) + + try: + self.transform(next(children)) + raise ValueError("Can't handle multiple children on parameter") + except StopIteration: + pass + + return param + + def transform_integer_literal(self, node): + """Transformation function for integer literal + + Used to get the value and type of the given integer literal. + + Returns + ======= + + val : list + List with two arguments type and Value + type contains the type of the integer + value contains the value stored in the variable + + Notes + ===== + + Only Base Integer type supported for now + + """ + try: + value = next(node.get_tokens()).spelling + except StopIteration: + # No tokens + value = node.literal + return int(value) + + def transform_floating_literal(self, node): + """Transformation function for floating literal + + Used to get the value and type of the given floating literal. + + Returns + ======= + + val : list + List with two arguments type and Value + type contains the type of float + value contains the value stored in the variable + + Notes + ===== + + Only Base Float type supported for now + + """ + try: + value = next(node.get_tokens()).spelling + except (StopIteration, ValueError): + # No tokens + value = node.literal + return float(value) + + def transform_string_literal(self, node): + #TODO: No string type in AST + #type = + #try: + # value = next(node.get_tokens()).spelling + #except (StopIteration, ValueError): + # No tokens + # value = node.literal + #val = [type, value] + #return val + pass + + def transform_character_literal(self, node): + """Transformation function for character literal + + Used to get the value of the given character literal. + + Returns + ======= + + val : int + val contains the ascii value of the character literal + + Notes + ===== + + Only for cases where character is assigned to a integer value, + since character literal is not in SymPy AST + + """ + try: + value = next(node.get_tokens()).spelling + except (StopIteration, ValueError): + # No tokens + value = node.literal + return ord(str(value[1])) + + def transform_cxx_bool_literal_expr(self, node): + """Transformation function for boolean literal + + Used to get the value of the given boolean literal. + + Returns + ======= + + value : bool + value contains the boolean value of the variable + + """ + try: + value = next(node.get_tokens()).spelling + except (StopIteration, ValueError): + value = node.literal + return True if value == 'true' else False + + def transform_unexposed_decl(self,node): + """Transformation function for unexposed declarations""" + pass + + def transform_unexposed_expr(self, node): + """Transformation function for unexposed expression + + Unexposed expressions are used to wrap float, double literals and + expressions + + Returns + ======= + + expr : Codegen AST Node + the result from the wrapped expression + + None : NoneType + No children are found for the node + + Raises + ====== + + ValueError if the expression contains multiple children + + """ + # Ignore unexposed nodes; pass whatever is the first + # (and should be only) child unaltered. + try: + children = node.get_children() + expr = self.transform(next(children)) + except StopIteration: + return None + + try: + next(children) + raise ValueError("Unexposed expression has > 1 children.") + except StopIteration: + pass + + return expr + + def transform_decl_ref_expr(self, node): + """Returns the name of the declaration reference""" + return node.spelling + + def transform_call_expr(self, node): + """Transformation function for a call expression + + Used to create function call nodes for the function calls present + in the C code + + Returns + ======= + + FunctionCall : Codegen AST Node + FunctionCall node with parameters if any parameters are present + + """ + param = [] + children = node.get_children() + child = next(children) + + while child.kind == cin.CursorKind.NAMESPACE_REF: + child = next(children) + while child.kind == cin.CursorKind.TYPE_REF: + child = next(children) + + first_child = self.transform(child) + try: + for child in children: + arg = self.transform(child) + if child.kind == cin.CursorKind.INTEGER_LITERAL: + param.append(Integer(arg)) + elif child.kind == cin.CursorKind.FLOATING_LITERAL: + param.append(Float(arg)) + else: + param.append(arg) + return FunctionCall(first_child, param) + + except StopIteration: + return FunctionCall(first_child) + + def transform_return_stmt(self, node): + """Returns the Return Node for a return statement""" + return Return(next(node.get_children()).spelling) + + def transform_compound_stmt(self, node): + """Transformation function for compound statements + + Returns + ======= + + expr : list + list of Nodes for the expressions present in the statement + + None : NoneType + if the compound statement is empty + + """ + expr = [] + children = node.get_children() + + for child in children: + expr.append(self.transform(child)) + return expr + + def transform_decl_stmt(self, node): + """Transformation function for declaration statements + + These statements are used to wrap different kinds of declararions + like variable or function declaration + The function calls the transformer function for the child of the + given node + + Returns + ======= + + statement : Codegen AST Node + contains the node returned by the children node for the type of + declaration + + Raises + ====== + + ValueError if multiple children present + + """ + try: + children = node.get_children() + statement = self.transform(next(children)) + except StopIteration: + pass + + try: + self.transform(next(children)) + raise ValueError("Don't know how to handle multiple statements") + except StopIteration: + pass + + return statement + + def transform_paren_expr(self, node): + """Transformation function for Parenthesized expressions + + Returns the result from its children nodes + + """ + return self.transform(next(node.get_children())) + + def transform_compound_assignment_operator(self, node): + """Transformation function for handling shorthand operators + + Returns + ======= + + augmented_assignment_expression: Codegen AST node + shorthand assignment expression represented as Codegen AST + + Raises + ====== + + NotImplementedError + If the shorthand operator for bitwise operators + (~=, ^=, &=, |=, <<=, >>=) is encountered + + """ + return self.transform_binary_operator(node) + + def transform_unary_operator(self, node): + """Transformation function for handling unary operators + + Returns + ======= + + unary_expression: Codegen AST node + simplified unary expression represented as Codegen AST + + Raises + ====== + + NotImplementedError + If dereferencing operator(*), address operator(&) or + bitwise NOT operator(~) is encountered + + """ + # supported operators list + operators_list = ['+', '-', '++', '--', '!'] + tokens = list(node.get_tokens()) + + # it can be either pre increment/decrement or any other operator from the list + if tokens[0].spelling in operators_list: + child = self.transform(next(node.get_children())) + # (decl_ref) e.g.; int a = ++b; or simply ++b; + if isinstance(child, str): + if tokens[0].spelling == '+': + return Symbol(child) + if tokens[0].spelling == '-': + return Mul(Symbol(child), -1) + if tokens[0].spelling == '++': + return PreIncrement(Symbol(child)) + if tokens[0].spelling == '--': + return PreDecrement(Symbol(child)) + if tokens[0].spelling == '!': + return Not(Symbol(child)) + # e.g.; int a = -1; or int b = -(1 + 2); + else: + if tokens[0].spelling == '+': + return child + if tokens[0].spelling == '-': + return Mul(child, -1) + if tokens[0].spelling == '!': + return Not(sympify(bool(child))) + + # it can be either post increment/decrement + # since variable name is obtained in token[0].spelling + elif tokens[1].spelling in ['++', '--']: + child = self.transform(next(node.get_children())) + if tokens[1].spelling == '++': + return PostIncrement(Symbol(child)) + if tokens[1].spelling == '--': + return PostDecrement(Symbol(child)) + else: + raise NotImplementedError("Dereferencing operator, " + "Address operator and bitwise NOT operator " + "have not been implemented yet!") + + def transform_binary_operator(self, node): + """Transformation function for handling binary operators + + Returns + ======= + + binary_expression: Codegen AST node + simplified binary expression represented as Codegen AST + + Raises + ====== + + NotImplementedError + If a bitwise operator or + unary operator(which is a child of any binary + operator in Clang AST) is encountered + + """ + # get all the tokens of assignment + # and store it in the tokens list + tokens = list(node.get_tokens()) + + # supported operators list + operators_list = ['+', '-', '*', '/', '%','=', + '>', '>=', '<', '<=', '==', '!=', '&&', '||', '+=', '-=', + '*=', '/=', '%='] + + # this stack will contain variable content + # and type of variable in the rhs + combined_variables_stack = [] + + # this stack will contain operators + # to be processed in the rhs + operators_stack = [] + + # iterate through every token + for token in tokens: + # token is either '(', ')' or + # any of the supported operators from the operator list + if token.kind == cin.TokenKind.PUNCTUATION: + + # push '(' to the operators stack + if token.spelling == '(': + operators_stack.append('(') + + elif token.spelling == ')': + # keep adding the expression to the + # combined variables stack unless + # '(' is found + while (operators_stack + and operators_stack[-1] != '('): + if len(combined_variables_stack) < 2: + raise NotImplementedError( + "Unary operators as a part of " + "binary operators is not " + "supported yet!") + rhs = combined_variables_stack.pop() + lhs = combined_variables_stack.pop() + operator = operators_stack.pop() + combined_variables_stack.append( + self.perform_operation( + lhs, rhs, operator)) + + # pop '(' + operators_stack.pop() + + # token is an operator (supported) + elif token.spelling in operators_list: + while (operators_stack + and self.priority_of(token.spelling) + <= self.priority_of( + operators_stack[-1])): + if len(combined_variables_stack) < 2: + raise NotImplementedError( + "Unary operators as a part of " + "binary operators is not " + "supported yet!") + rhs = combined_variables_stack.pop() + lhs = combined_variables_stack.pop() + operator = operators_stack.pop() + combined_variables_stack.append( + self.perform_operation( + lhs, rhs, operator)) + + # push current operator + operators_stack.append(token.spelling) + + # token is a bitwise operator + elif token.spelling in ['&', '|', '^', '<<', '>>']: + raise NotImplementedError( + "Bitwise operator has not been " + "implemented yet!") + + # token is a shorthand bitwise operator + elif token.spelling in ['&=', '|=', '^=', '<<=', + '>>=']: + raise NotImplementedError( + "Shorthand bitwise operator has not been " + "implemented yet!") + else: + raise NotImplementedError( + "Given token {} is not implemented yet!" + .format(token.spelling)) + + # token is an identifier(variable) + elif token.kind == cin.TokenKind.IDENTIFIER: + combined_variables_stack.append( + [token.spelling, 'identifier']) + + # token is a literal + elif token.kind == cin.TokenKind.LITERAL: + combined_variables_stack.append( + [token.spelling, 'literal']) + + # token is a keyword, either true or false + elif (token.kind == cin.TokenKind.KEYWORD + and token.spelling in ['true', 'false']): + combined_variables_stack.append( + [token.spelling, 'boolean']) + else: + raise NotImplementedError( + "Given token {} is not implemented yet!" + .format(token.spelling)) + + # process remaining operators + while operators_stack: + if len(combined_variables_stack) < 2: + raise NotImplementedError( + "Unary operators as a part of " + "binary operators is not " + "supported yet!") + rhs = combined_variables_stack.pop() + lhs = combined_variables_stack.pop() + operator = operators_stack.pop() + combined_variables_stack.append( + self.perform_operation(lhs, rhs, operator)) + + return combined_variables_stack[-1][0] + + def priority_of(self, op): + """To get the priority of given operator""" + if op in ['=', '+=', '-=', '*=', '/=', '%=']: + return 1 + if op in ['&&', '||']: + return 2 + if op in ['<', '<=', '>', '>=', '==', '!=']: + return 3 + if op in ['+', '-']: + return 4 + if op in ['*', '/', '%']: + return 5 + return 0 + + def perform_operation(self, lhs, rhs, op): + """Performs operation supported by the SymPy core + + Returns + ======= + + combined_variable: list + contains variable content and type of variable + + """ + lhs_value = self.get_expr_for_operand(lhs) + rhs_value = self.get_expr_for_operand(rhs) + if op == '+': + return [Add(lhs_value, rhs_value), 'expr'] + if op == '-': + return [Add(lhs_value, -rhs_value), 'expr'] + if op == '*': + return [Mul(lhs_value, rhs_value), 'expr'] + if op == '/': + return [Mul(lhs_value, Pow(rhs_value, Integer(-1))), 'expr'] + if op == '%': + return [Mod(lhs_value, rhs_value), 'expr'] + if op in ['<', '<=', '>', '>=', '==', '!=']: + return [Rel(lhs_value, rhs_value, op), 'expr'] + if op == '&&': + return [And(as_Boolean(lhs_value), as_Boolean(rhs_value)), 'expr'] + if op == '||': + return [Or(as_Boolean(lhs_value), as_Boolean(rhs_value)), 'expr'] + if op == '=': + return [Assignment(Variable(lhs_value), rhs_value), 'expr'] + if op in ['+=', '-=', '*=', '/=', '%=']: + return [aug_assign(Variable(lhs_value), op[0], rhs_value), 'expr'] + + def get_expr_for_operand(self, combined_variable): + """Gives out SymPy Codegen AST node + + AST node returned is corresponding to + combined variable passed.Combined variable contains + variable content and type of variable + + """ + if combined_variable[1] == 'identifier': + return Symbol(combined_variable[0]) + if combined_variable[1] == 'literal': + if '.' in combined_variable[0]: + return Float(float(combined_variable[0])) + else: + return Integer(int(combined_variable[0])) + if combined_variable[1] == 'expr': + return combined_variable[0] + if combined_variable[1] == 'boolean': + return true if combined_variable[0] == 'true' else false + + def transform_null_stmt(self, node): + """Handles Null Statement and returns None""" + return none + + def transform_while_stmt(self, node): + """Transformation function for handling while statement + + Returns + ======= + + while statement : Codegen AST Node + contains the while statement node having condition and + statement block + + """ + children = node.get_children() + + condition = self.transform(next(children)) + statements = self.transform(next(children)) + + if isinstance(statements, list): + statement_block = CodeBlock(*statements) + else: + statement_block = CodeBlock(statements) + + return While(condition, statement_block) + + + +else: + class CCodeConverter(): # type: ignore + def __init__(self, *args, **kwargs): + raise ImportError("Module not Installed") + + +def parse_c(source): + """Function for converting a C source code + + The function reads the source code present in the given file and parses it + to give out SymPy Expressions + + Returns + ======= + + src : list + List of Python expression strings + + """ + converter = CCodeConverter() + if os.path.exists(source): + src = converter.parse(source, flags = []) + else: + src = converter.parse_str(source, flags = []) + return src diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/unify/usympy.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/unify/usympy.py new file mode 100644 index 0000000000000000000000000000000000000000..3942b35ec549e5dbd08a3cf1cad2b2ecea733c7a --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/unify/usympy.py @@ -0,0 +1,124 @@ +""" SymPy interface to Unification engine + +See sympy.unify for module level docstring +See sympy.unify.core for algorithmic docstring """ + +from sympy.core import Basic, Add, Mul, Pow +from sympy.core.operations import AssocOp, LatticeOp +from sympy.matrices import MatAdd, MatMul, MatrixExpr +from sympy.sets.sets import Union, Intersection, FiniteSet +from sympy.unify.core import Compound, Variable, CondVariable +from sympy.unify import core + +basic_new_legal = [MatrixExpr] +eval_false_legal = [AssocOp, Pow, FiniteSet] +illegal = [LatticeOp] + +def sympy_associative(op): + assoc_ops = (AssocOp, MatAdd, MatMul, Union, Intersection, FiniteSet) + return any(issubclass(op, aop) for aop in assoc_ops) + +def sympy_commutative(op): + comm_ops = (Add, MatAdd, Union, Intersection, FiniteSet) + return any(issubclass(op, cop) for cop in comm_ops) + +def is_associative(x): + return isinstance(x, Compound) and sympy_associative(x.op) + +def is_commutative(x): + if not isinstance(x, Compound): + return False + if sympy_commutative(x.op): + return True + if issubclass(x.op, Mul): + return all(construct(arg).is_commutative for arg in x.args) + +def mk_matchtype(typ): + def matchtype(x): + return (isinstance(x, typ) or + isinstance(x, Compound) and issubclass(x.op, typ)) + return matchtype + +def deconstruct(s, variables=()): + """ Turn a SymPy object into a Compound """ + if s in variables: + return Variable(s) + if isinstance(s, (Variable, CondVariable)): + return s + if not isinstance(s, Basic) or s.is_Atom: + return s + return Compound(s.__class__, + tuple(deconstruct(arg, variables) for arg in s.args)) + +def construct(t): + """ Turn a Compound into a SymPy object """ + if isinstance(t, (Variable, CondVariable)): + return t.arg + if not isinstance(t, Compound): + return t + if any(issubclass(t.op, cls) for cls in eval_false_legal): + return t.op(*map(construct, t.args), evaluate=False) + elif any(issubclass(t.op, cls) for cls in basic_new_legal): + return Basic.__new__(t.op, *map(construct, t.args)) + else: + return t.op(*map(construct, t.args)) + +def rebuild(s): + """ Rebuild a SymPy expression. + + This removes harm caused by Expr-Rules interactions. + """ + return construct(deconstruct(s)) + +def unify(x, y, s=None, variables=(), **kwargs): + """ Structural unification of two expressions/patterns. + + Examples + ======== + + >>> from sympy.unify.usympy import unify + >>> from sympy import Basic, S + >>> from sympy.abc import x, y, z, p, q + + >>> next(unify(Basic(S(1), S(2)), Basic(S(1), x), variables=[x])) + {x: 2} + + >>> expr = 2*x + y + z + >>> pattern = 2*p + q + >>> next(unify(expr, pattern, {}, variables=(p, q))) + {p: x, q: y + z} + + Unification supports commutative and associative matching + + >>> expr = x + y + z + >>> pattern = p + q + >>> len(list(unify(expr, pattern, {}, variables=(p, q)))) + 12 + + Symbols not indicated to be variables are treated as literal, + else they are wild-like and match anything in a sub-expression. + + >>> expr = x*y*z + 3 + >>> pattern = x*y + 3 + >>> next(unify(expr, pattern, {}, variables=[x, y])) + {x: y, y: x*z} + + The x and y of the pattern above were in a Mul and matched factors + in the Mul of expr. Here, a single symbol matches an entire term: + + >>> expr = x*y + 3 + >>> pattern = p + 3 + >>> next(unify(expr, pattern, {}, variables=[p])) + {p: x*y} + + """ + decons = lambda x: deconstruct(x, variables) + s = s or {} + s = {decons(k): decons(v) for k, v in s.items()} + + ds = core.unify(decons(x), decons(y), s, + is_associative=is_associative, + is_commutative=is_commutative, + **kwargs) + for d in ds: + yield {construct(k): construct(v) for k, v in d.items()} diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/__init__.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..8f35da4a84396618a33a12c3c6b5cf58e9d4742c --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/__init__.py @@ -0,0 +1,30 @@ +"""This module contains some general purpose utilities that are used across +SymPy. +""" +from .iterables import (flatten, group, take, subsets, + variations, numbered_symbols, cartes, capture, dict_merge, + prefixes, postfixes, sift, topological_sort, unflatten, + has_dups, has_variety, reshape, rotations) + +from .misc import filldedent + +from .lambdify import lambdify + +from .decorator import threaded, xthreaded, public, memoize_property + +from .timeutils import timed + +__all__ = [ + 'flatten', 'group', 'take', 'subsets', 'variations', 'numbered_symbols', + 'cartes', 'capture', 'dict_merge', 'prefixes', 'postfixes', 'sift', + 'topological_sort', 'unflatten', 'has_dups', 'has_variety', 'reshape', + 'rotations', + + 'filldedent', + + 'lambdify', + + 'threaded', 'xthreaded', 'public', 'memoize_property', + + 'timed', +] diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/autowrap.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/autowrap.py new file mode 100644 index 0000000000000000000000000000000000000000..b6c33b2f0f72f89b5680f910929618a821e924c3 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/autowrap.py @@ -0,0 +1,1178 @@ +"""Module for compiling codegen output, and wrap the binary for use in +python. + +.. note:: To use the autowrap module it must first be imported + + >>> from sympy.utilities.autowrap import autowrap + +This module provides a common interface for different external backends, such +as f2py, fwrap, Cython, SWIG(?) etc. (Currently only f2py and Cython are +implemented) The goal is to provide access to compiled binaries of acceptable +performance with a one-button user interface, e.g., + + >>> from sympy.abc import x,y + >>> expr = (x - y)**25 + >>> flat = expr.expand() + >>> binary_callable = autowrap(flat) + >>> binary_callable(2, 3) + -1.0 + +Although a SymPy user might primarily be interested in working with +mathematical expressions and not in the details of wrapping tools +needed to evaluate such expressions efficiently in numerical form, +the user cannot do so without some understanding of the +limits in the target language. For example, the expanded expression +contains large coefficients which result in loss of precision when +computing the expression: + + >>> binary_callable(3, 2) + 0.0 + >>> binary_callable(4, 5), binary_callable(5, 4) + (-22925376.0, 25165824.0) + +Wrapping the unexpanded expression gives the expected behavior: + + >>> e = autowrap(expr) + >>> e(4, 5), e(5, 4) + (-1.0, 1.0) + +The callable returned from autowrap() is a binary Python function, not a +SymPy object. If it is desired to use the compiled function in symbolic +expressions, it is better to use binary_function() which returns a SymPy +Function object. The binary callable is attached as the _imp_ attribute and +invoked when a numerical evaluation is requested with evalf(), or with +lambdify(). + + >>> from sympy.utilities.autowrap import binary_function + >>> f = binary_function('f', expr) + >>> 2*f(x, y) + y + y + 2*f(x, y) + >>> (2*f(x, y) + y).evalf(2, subs={x: 1, y:2}) + 0.e-110 + +When is this useful? + + 1) For computations on large arrays, Python iterations may be too slow, + and depending on the mathematical expression, it may be difficult to + exploit the advanced index operations provided by NumPy. + + 2) For *really* long expressions that will be called repeatedly, the + compiled binary should be significantly faster than SymPy's .evalf() + + 3) If you are generating code with the codegen utility in order to use + it in another project, the automatic Python wrappers let you test the + binaries immediately from within SymPy. + + 4) To create customized ufuncs for use with numpy arrays. + See *ufuncify*. + +When is this module NOT the best approach? + + 1) If you are really concerned about speed or memory optimizations, + you will probably get better results by working directly with the + wrapper tools and the low level code. However, the files generated + by this utility may provide a useful starting point and reference + code. Temporary files will be left intact if you supply the keyword + tempdir="path/to/files/". + + 2) If the array computation can be handled easily by numpy, and you + do not need the binaries for another project. + +""" + +import sys +import os +import shutil +import tempfile +from pathlib import Path +from subprocess import STDOUT, CalledProcessError, check_output +from string import Template +from warnings import warn + +from sympy.core.cache import cacheit +from sympy.core.function import Lambda +from sympy.core.relational import Eq +from sympy.core.symbol import Dummy, Symbol +from sympy.tensor.indexed import Idx, IndexedBase +from sympy.utilities.codegen import (make_routine, get_code_generator, + OutputArgument, InOutArgument, + InputArgument, CodeGenArgumentListError, + Result, ResultBase, C99CodeGen) +from sympy.utilities.iterables import iterable +from sympy.utilities.lambdify import implemented_function +from sympy.utilities.decorator import doctest_depends_on + +_doctest_depends_on = {'exe': ('f2py', 'gfortran', 'gcc'), + 'modules': ('numpy',)} + + +class CodeWrapError(Exception): + pass + + +class CodeWrapper: + """Base Class for code wrappers""" + _filename = "wrapped_code" + _module_basename = "wrapper_module" + _module_counter = 0 + + @property + def filename(self): + return "%s_%s" % (self._filename, CodeWrapper._module_counter) + + @property + def module_name(self): + return "%s_%s" % (self._module_basename, CodeWrapper._module_counter) + + def __init__(self, generator, filepath=None, flags=[], verbose=False): + """ + generator -- the code generator to use + """ + self.generator = generator + self.filepath = filepath + self.flags = flags + self.quiet = not verbose + + @property + def include_header(self): + return bool(self.filepath) + + @property + def include_empty(self): + return bool(self.filepath) + + def _generate_code(self, main_routine, routines): + routines.append(main_routine) + self.generator.write( + routines, self.filename, True, self.include_header, + self.include_empty) + + def wrap_code(self, routine, helpers=None): + helpers = helpers or [] + if self.filepath: + workdir = os.path.abspath(self.filepath) + else: + workdir = tempfile.mkdtemp("_sympy_compile") + if not os.access(workdir, os.F_OK): + os.mkdir(workdir) + oldwork = os.getcwd() + os.chdir(workdir) + try: + sys.path.append(workdir) + self._generate_code(routine, helpers) + self._prepare_files(routine) + self._process_files(routine) + mod = __import__(self.module_name) + finally: + sys.path.remove(workdir) + CodeWrapper._module_counter += 1 + os.chdir(oldwork) + if not self.filepath: + try: + shutil.rmtree(workdir) + except OSError: + # Could be some issues on Windows + pass + + return self._get_wrapped_function(mod, routine.name) + + def _process_files(self, routine): + command = self.command + command.extend(self.flags) + try: + retoutput = check_output(command, stderr=STDOUT) + except CalledProcessError as e: + raise CodeWrapError( + "Error while executing command: %s. Command output is:\n%s" % ( + " ".join(command), e.output.decode('utf-8'))) + if not self.quiet: + print(retoutput) + + +class DummyWrapper(CodeWrapper): + """Class used for testing independent of backends """ + + template = """# dummy module for testing of SymPy +def %(name)s(): + return "%(expr)s" +%(name)s.args = "%(args)s" +%(name)s.returns = "%(retvals)s" +""" + + def _prepare_files(self, routine): + return + + def _generate_code(self, routine, helpers): + with open('%s.py' % self.module_name, 'w') as f: + printed = ", ".join( + [str(res.expr) for res in routine.result_variables]) + # convert OutputArguments to return value like f2py + args = filter(lambda x: not isinstance( + x, OutputArgument), routine.arguments) + retvals = [] + for val in routine.result_variables: + if isinstance(val, Result): + retvals.append('nameless') + else: + retvals.append(val.result_var) + + print(DummyWrapper.template % { + 'name': routine.name, + 'expr': printed, + 'args': ", ".join([str(a.name) for a in args]), + 'retvals': ", ".join([str(val) for val in retvals]) + }, end="", file=f) + + def _process_files(self, routine): + return + + @classmethod + def _get_wrapped_function(cls, mod, name): + return getattr(mod, name) + + +class CythonCodeWrapper(CodeWrapper): + """Wrapper that uses Cython""" + + setup_template = """\ +from setuptools import setup +from setuptools import Extension +from Cython.Build import cythonize +cy_opts = {cythonize_options} +{np_import} +ext_mods = [Extension( + {ext_args}, + include_dirs={include_dirs}, + library_dirs={library_dirs}, + libraries={libraries}, + extra_compile_args={extra_compile_args}, + extra_link_args={extra_link_args} +)] +setup(ext_modules=cythonize(ext_mods, **cy_opts)) +""" + + _cythonize_options = {'compiler_directives':{'language_level' : "3"}} + + pyx_imports = ( + "import numpy as np\n" + "cimport numpy as np\n\n") + + pyx_header = ( + "cdef extern from '{header_file}.h':\n" + " {prototype}\n\n") + + pyx_func = ( + "def {name}_c({arg_string}):\n" + "\n" + "{declarations}" + "{body}") + + std_compile_flag = '-std=c99' + + def __init__(self, *args, **kwargs): + """Instantiates a Cython code wrapper. + + The following optional parameters get passed to ``setuptools.Extension`` + for building the Python extension module. Read its documentation to + learn more. + + Parameters + ========== + include_dirs : [list of strings] + A list of directories to search for C/C++ header files (in Unix + form for portability). + library_dirs : [list of strings] + A list of directories to search for C/C++ libraries at link time. + libraries : [list of strings] + A list of library names (not filenames or paths) to link against. + extra_compile_args : [list of strings] + Any extra platform- and compiler-specific information to use when + compiling the source files in 'sources'. For platforms and + compilers where "command line" makes sense, this is typically a + list of command-line arguments, but for other platforms it could be + anything. Note that the attribute ``std_compile_flag`` will be + appended to this list. + extra_link_args : [list of strings] + Any extra platform- and compiler-specific information to use when + linking object files together to create the extension (or to create + a new static Python interpreter). Similar interpretation as for + 'extra_compile_args'. + cythonize_options : [dictionary] + Keyword arguments passed on to cythonize. + + """ + + self._include_dirs = kwargs.pop('include_dirs', []) + self._library_dirs = kwargs.pop('library_dirs', []) + self._libraries = kwargs.pop('libraries', []) + self._extra_compile_args = kwargs.pop('extra_compile_args', []) + self._extra_compile_args.append(self.std_compile_flag) + self._extra_link_args = kwargs.pop('extra_link_args', []) + self._cythonize_options = kwargs.pop('cythonize_options', self._cythonize_options) + + self._need_numpy = False + + super().__init__(*args, **kwargs) + + @property + def command(self): + command = [sys.executable, "setup.py", "build_ext", "--inplace"] + return command + + def _prepare_files(self, routine, build_dir=os.curdir): + # NOTE : build_dir is used for testing purposes. + pyxfilename = self.module_name + '.pyx' + codefilename = "%s.%s" % (self.filename, self.generator.code_extension) + + # pyx + with open(os.path.join(build_dir, pyxfilename), 'w') as f: + self.dump_pyx([routine], f, self.filename) + + # setup.py + ext_args = [repr(self.module_name), repr([pyxfilename, codefilename])] + if self._need_numpy: + np_import = 'import numpy as np\n' + self._include_dirs.append('np.get_include()') + else: + np_import = '' + + includes = str(self._include_dirs).replace("'np.get_include()'", + 'np.get_include()') + code = self.setup_template.format( + ext_args=", ".join(ext_args), + np_import=np_import, + include_dirs=includes, + library_dirs=self._library_dirs, + libraries=self._libraries, + extra_compile_args=self._extra_compile_args, + extra_link_args=self._extra_link_args, + cythonize_options=self._cythonize_options) + Path(os.path.join(build_dir, 'setup.py')).write_text(code) + + @classmethod + def _get_wrapped_function(cls, mod, name): + return getattr(mod, name + '_c') + + def dump_pyx(self, routines, f, prefix): + """Write a Cython file with Python wrappers + + This file contains all the definitions of the routines in c code and + refers to the header file. + + Arguments + --------- + routines + List of Routine instances + f + File-like object to write the file to + prefix + The filename prefix, used to refer to the proper header file. + Only the basename of the prefix is used. + """ + headers = [] + functions = [] + for routine in routines: + prototype = self.generator.get_prototype(routine) + + # C Function Header Import + headers.append(self.pyx_header.format(header_file=prefix, + prototype=prototype)) + + # Partition the C function arguments into categories + py_rets, py_args, py_loc, py_inf = self._partition_args(routine.arguments) + + # Function prototype + name = routine.name + arg_string = ", ".join(self._prototype_arg(arg) for arg in py_args) + + # Local Declarations + local_decs = [] + for arg, val in py_inf.items(): + proto = self._prototype_arg(arg) + mat, ind = [self._string_var(v) for v in val] + local_decs.append(" cdef {} = {}.shape[{}]".format(proto, mat, ind)) + local_decs.extend([" cdef {}".format(self._declare_arg(a)) for a in py_loc]) + declarations = "\n".join(local_decs) + if declarations: + declarations = declarations + "\n" + + # Function Body + args_c = ", ".join([self._call_arg(a) for a in routine.arguments]) + rets = ", ".join([self._string_var(r.name) for r in py_rets]) + if routine.results: + body = ' return %s(%s)' % (routine.name, args_c) + if rets: + body = body + ', ' + rets + else: + body = ' %s(%s)\n' % (routine.name, args_c) + body = body + ' return ' + rets + + functions.append(self.pyx_func.format(name=name, arg_string=arg_string, + declarations=declarations, body=body)) + + # Write text to file + if self._need_numpy: + # Only import numpy if required + f.write(self.pyx_imports) + f.write('\n'.join(headers)) + f.write('\n'.join(functions)) + + def _partition_args(self, args): + """Group function arguments into categories.""" + py_args = [] + py_returns = [] + py_locals = [] + py_inferred = {} + for arg in args: + if isinstance(arg, OutputArgument): + py_returns.append(arg) + py_locals.append(arg) + elif isinstance(arg, InOutArgument): + py_returns.append(arg) + py_args.append(arg) + else: + py_args.append(arg) + # Find arguments that are array dimensions. These can be inferred + # locally in the Cython code. + if isinstance(arg, (InputArgument, InOutArgument)) and arg.dimensions: + dims = [d[1] + 1 for d in arg.dimensions] + sym_dims = [(i, d) for (i, d) in enumerate(dims) if + isinstance(d, Symbol)] + for (i, d) in sym_dims: + py_inferred[d] = (arg.name, i) + for arg in args: + if arg.name in py_inferred: + py_inferred[arg] = py_inferred.pop(arg.name) + # Filter inferred arguments from py_args + py_args = [a for a in py_args if a not in py_inferred] + return py_returns, py_args, py_locals, py_inferred + + def _prototype_arg(self, arg): + mat_dec = "np.ndarray[{mtype}, ndim={ndim}] {name}" + np_types = {'double': 'np.double_t', + 'int': 'np.int_t'} + t = arg.get_datatype('c') + if arg.dimensions: + self._need_numpy = True + ndim = len(arg.dimensions) + mtype = np_types[t] + return mat_dec.format(mtype=mtype, ndim=ndim, name=self._string_var(arg.name)) + else: + return "%s %s" % (t, self._string_var(arg.name)) + + def _declare_arg(self, arg): + proto = self._prototype_arg(arg) + if arg.dimensions: + shape = '(' + ','.join(self._string_var(i[1] + 1) for i in arg.dimensions) + ')' + return proto + " = np.empty({shape})".format(shape=shape) + else: + return proto + " = 0" + + def _call_arg(self, arg): + if arg.dimensions: + t = arg.get_datatype('c') + return "<{}*> {}.data".format(t, self._string_var(arg.name)) + elif isinstance(arg, ResultBase): + return "&{}".format(self._string_var(arg.name)) + else: + return self._string_var(arg.name) + + def _string_var(self, var): + printer = self.generator.printer.doprint + return printer(var) + + +class F2PyCodeWrapper(CodeWrapper): + """Wrapper that uses f2py""" + + def __init__(self, *args, **kwargs): + + ext_keys = ['include_dirs', 'library_dirs', 'libraries', + 'extra_compile_args', 'extra_link_args'] + msg = ('The compilation option kwarg {} is not supported with the f2py ' + 'backend.') + + for k in ext_keys: + if k in kwargs.keys(): + warn(msg.format(k)) + kwargs.pop(k, None) + + super().__init__(*args, **kwargs) + + @property + def command(self): + filename = self.filename + '.' + self.generator.code_extension + args = ['-c', '-m', self.module_name, filename] + command = [sys.executable, "-c", "import numpy.f2py as f2py2e;f2py2e.main()"]+args + return command + + def _prepare_files(self, routine): + pass + + @classmethod + def _get_wrapped_function(cls, mod, name): + return getattr(mod, name) + + +# Here we define a lookup of backends -> tuples of languages. For now, each +# tuple is of length 1, but if a backend supports more than one language, +# the most preferable language is listed first. +_lang_lookup = {'CYTHON': ('C99', 'C89', 'C'), + 'F2PY': ('F95',), + 'NUMPY': ('C99', 'C89', 'C'), + 'DUMMY': ('F95',)} # Dummy here just for testing + + +def _infer_language(backend): + """For a given backend, return the top choice of language""" + langs = _lang_lookup.get(backend.upper(), False) + if not langs: + raise ValueError("Unrecognized backend: " + backend) + return langs[0] + + +def _validate_backend_language(backend, language): + """Throws error if backend and language are incompatible""" + langs = _lang_lookup.get(backend.upper(), False) + if not langs: + raise ValueError("Unrecognized backend: " + backend) + if language.upper() not in langs: + raise ValueError(("Backend {} and language {} are " + "incompatible").format(backend, language)) + + +@cacheit +@doctest_depends_on(exe=('f2py', 'gfortran'), modules=('numpy',)) +def autowrap(expr, language=None, backend='f2py', tempdir=None, args=None, + flags=None, verbose=False, helpers=None, code_gen=None, **kwargs): + """Generates Python callable binaries based on the math expression. + + Parameters + ========== + + expr + The SymPy expression that should be wrapped as a binary routine. + language : string, optional + If supplied, (options: 'C' or 'F95'), specifies the language of the + generated code. If ``None`` [default], the language is inferred based + upon the specified backend. + backend : string, optional + Backend used to wrap the generated code. Either 'f2py' [default], + or 'cython'. + tempdir : string, optional + Path to directory for temporary files. If this argument is supplied, + the generated code and the wrapper input files are left intact in the + specified path. + args : iterable, optional + An ordered iterable of symbols. Specifies the argument sequence for the + function. + flags : iterable, optional + Additional option flags that will be passed to the backend. + verbose : bool, optional + If True, autowrap will not mute the command line backends. This can be + helpful for debugging. + helpers : 3-tuple or iterable of 3-tuples, optional + Used to define auxiliary functions needed for the main expression. + Each tuple should be of the form (name, expr, args) where: + + - name : str, the function name + - expr : sympy expression, the function + - args : iterable, the function arguments (can be any iterable of symbols) + + code_gen : CodeGen instance + An instance of a CodeGen subclass. Overrides ``language``. + include_dirs : [string] + A list of directories to search for C/C++ header files (in Unix form + for portability). + library_dirs : [string] + A list of directories to search for C/C++ libraries at link time. + libraries : [string] + A list of library names (not filenames or paths) to link against. + extra_compile_args : [string] + Any extra platform- and compiler-specific information to use when + compiling the source files in 'sources'. For platforms and compilers + where "command line" makes sense, this is typically a list of + command-line arguments, but for other platforms it could be anything. + extra_link_args : [string] + Any extra platform- and compiler-specific information to use when + linking object files together to create the extension (or to create a + new static Python interpreter). Similar interpretation as for + 'extra_compile_args'. + + Examples + ======== + + Basic usage: + + >>> from sympy.abc import x, y, z + >>> from sympy.utilities.autowrap import autowrap + >>> expr = ((x - y + z)**(13)).expand() + >>> binary_func = autowrap(expr) + >>> binary_func(1, 4, 2) + -1.0 + + Using helper functions: + + >>> from sympy.abc import x, t + >>> from sympy import Function + >>> helper_func = Function('helper_func') # Define symbolic function + >>> expr = 3*x + helper_func(t) # Main expression using helper function + >>> # Define helper_func(x) = 4*x using f2py backend + >>> binary_func = autowrap(expr, args=[x, t], + ... helpers=('helper_func', 4*x, [x])) + >>> binary_func(2, 5) # 3*2 + helper_func(5) = 6 + 20 + 26.0 + >>> # Same example using cython backend + >>> binary_func = autowrap(expr, args=[x, t], backend='cython', + ... helpers=[('helper_func', 4*x, [x])]) + >>> binary_func(2, 5) # 3*2 + helper_func(5) = 6 + 20 + 26.0 + + Type handling example: + + >>> import numpy as np + >>> expr = x + y + >>> f_cython = autowrap(expr, backend='cython') + >>> f_cython(1, 2) # doctest: +ELLIPSIS + Traceback (most recent call last): + ... + TypeError: Argument '_x' has incorrect type (expected numpy.ndarray, got int) + >>> f_cython(np.array([1.0]), np.array([2.0])) + array([ 3.]) + + """ + if language: + if not isinstance(language, type): + _validate_backend_language(backend, language) + else: + language = _infer_language(backend) + + # two cases 1) helpers is an iterable of 3-tuples and 2) helpers is a + # 3-tuple + if iterable(helpers) and len(helpers) != 0 and iterable(helpers[0]): + helpers = helpers if helpers else () + else: + helpers = [helpers] if helpers else () + args = list(args) if iterable(args, exclude=set) else args + + if code_gen is None: + code_gen = get_code_generator(language, "autowrap") + + CodeWrapperClass = { + 'F2PY': F2PyCodeWrapper, + 'CYTHON': CythonCodeWrapper, + 'DUMMY': DummyWrapper + }[backend.upper()] + code_wrapper = CodeWrapperClass(code_gen, tempdir, flags if flags else (), + verbose, **kwargs) + + helps = [] + for name_h, expr_h, args_h in helpers: + helps.append(code_gen.routine(name_h, expr_h, args_h)) + + for name_h, expr_h, args_h in helpers: + if expr.has(expr_h): + name_h = binary_function(name_h, expr_h, backend='dummy') + expr = expr.subs(expr_h, name_h(*args_h)) + try: + routine = code_gen.routine('autofunc', expr, args) + except CodeGenArgumentListError as e: + # if all missing arguments are for pure output, we simply attach them + # at the end and try again, because the wrappers will silently convert + # them to return values anyway. + new_args = [] + for missing in e.missing_args: + if not isinstance(missing, OutputArgument): + raise + new_args.append(missing.name) + routine = code_gen.routine('autofunc', expr, args + new_args) + + return code_wrapper.wrap_code(routine, helpers=helps) + + +@doctest_depends_on(exe=('f2py', 'gfortran'), modules=('numpy',)) +def binary_function(symfunc, expr, **kwargs): + """Returns a SymPy function with expr as binary implementation + + This is a convenience function that automates the steps needed to + autowrap the SymPy expression and attaching it to a Function object + with implemented_function(). + + Parameters + ========== + + symfunc : SymPy Function + The function to bind the callable to. + expr : SymPy Expression + The expression used to generate the function. + kwargs : dict + Any kwargs accepted by autowrap. + + Examples + ======== + + >>> from sympy.abc import x, y + >>> from sympy.utilities.autowrap import binary_function + >>> expr = ((x - y)**(25)).expand() + >>> f = binary_function('f', expr) + >>> type(f) + + >>> 2*f(x, y) + 2*f(x, y) + >>> f(x, y).evalf(2, subs={x: 1, y: 2}) + -1.0 + + """ + binary = autowrap(expr, **kwargs) + return implemented_function(symfunc, binary) + +################################################################# +# UFUNCIFY # +################################################################# + +_ufunc_top = Template("""\ +#include "Python.h" +#include "math.h" +#include "numpy/ndarraytypes.h" +#include "numpy/ufuncobject.h" +#include "numpy/halffloat.h" +#include ${include_file} + +static PyMethodDef ${module}Methods[] = { + {NULL, NULL, 0, NULL} +};""") + +_ufunc_outcalls = Template("*((double *)out${outnum}) = ${funcname}(${call_args});") + +_ufunc_body = Template("""\ +#ifdef NPY_1_19_API_VERSION +static void ${funcname}_ufunc(char **args, const npy_intp *dimensions, const npy_intp* steps, void* data) +#else +static void ${funcname}_ufunc(char **args, npy_intp *dimensions, npy_intp* steps, void* data) +#endif +{ + npy_intp i; + npy_intp n = dimensions[0]; + ${declare_args} + ${declare_steps} + for (i = 0; i < n; i++) { + ${outcalls} + ${step_increments} + } +} +PyUFuncGenericFunction ${funcname}_funcs[1] = {&${funcname}_ufunc}; +static char ${funcname}_types[${n_types}] = ${types} +static void *${funcname}_data[1] = {NULL};""") + +_ufunc_bottom = Template("""\ +#if PY_VERSION_HEX >= 0x03000000 +static struct PyModuleDef moduledef = { + PyModuleDef_HEAD_INIT, + "${module}", + NULL, + -1, + ${module}Methods, + NULL, + NULL, + NULL, + NULL +}; + +PyMODINIT_FUNC PyInit_${module}(void) +{ + PyObject *m, *d; + ${function_creation} + m = PyModule_Create(&moduledef); + if (!m) { + return NULL; + } + import_array(); + import_umath(); + d = PyModule_GetDict(m); + ${ufunc_init} + return m; +} +#else +PyMODINIT_FUNC init${module}(void) +{ + PyObject *m, *d; + ${function_creation} + m = Py_InitModule("${module}", ${module}Methods); + if (m == NULL) { + return; + } + import_array(); + import_umath(); + d = PyModule_GetDict(m); + ${ufunc_init} +} +#endif\ +""") + +_ufunc_init_form = Template("""\ +ufunc${ind} = PyUFunc_FromFuncAndData(${funcname}_funcs, ${funcname}_data, ${funcname}_types, 1, ${n_in}, ${n_out}, + PyUFunc_None, "${module}", ${docstring}, 0); + PyDict_SetItemString(d, "${funcname}", ufunc${ind}); + Py_DECREF(ufunc${ind});""") + +_ufunc_setup = Template("""\ +from setuptools.extension import Extension +from setuptools import setup + +from numpy import get_include + +if __name__ == "__main__": + setup(ext_modules=[ + Extension('${module}', + sources=['${module}.c', '${filename}.c'], + include_dirs=[get_include()])]) +""") + + +class UfuncifyCodeWrapper(CodeWrapper): + """Wrapper for Ufuncify""" + + def __init__(self, *args, **kwargs): + + ext_keys = ['include_dirs', 'library_dirs', 'libraries', + 'extra_compile_args', 'extra_link_args'] + msg = ('The compilation option kwarg {} is not supported with the numpy' + ' backend.') + + for k in ext_keys: + if k in kwargs.keys(): + warn(msg.format(k)) + kwargs.pop(k, None) + + super().__init__(*args, **kwargs) + + @property + def command(self): + command = [sys.executable, "setup.py", "build_ext", "--inplace"] + return command + + def wrap_code(self, routines, helpers=None): + # This routine overrides CodeWrapper because we can't assume funcname == routines[0].name + # Therefore we have to break the CodeWrapper private API. + # There isn't an obvious way to extend multi-expr support to + # the other autowrap backends, so we limit this change to ufuncify. + helpers = helpers if helpers is not None else [] + # We just need a consistent name + funcname = 'wrapped_' + str(id(routines) + id(helpers)) + + workdir = self.filepath or tempfile.mkdtemp("_sympy_compile") + if not os.access(workdir, os.F_OK): + os.mkdir(workdir) + oldwork = os.getcwd() + os.chdir(workdir) + try: + sys.path.append(workdir) + self._generate_code(routines, helpers) + self._prepare_files(routines, funcname) + self._process_files(routines) + mod = __import__(self.module_name) + finally: + sys.path.remove(workdir) + CodeWrapper._module_counter += 1 + os.chdir(oldwork) + if not self.filepath: + try: + shutil.rmtree(workdir) + except OSError: + # Could be some issues on Windows + pass + + return self._get_wrapped_function(mod, funcname) + + def _generate_code(self, main_routines, helper_routines): + all_routines = main_routines + helper_routines + self.generator.write( + all_routines, self.filename, True, self.include_header, + self.include_empty) + + def _prepare_files(self, routines, funcname): + + # C + codefilename = self.module_name + '.c' + with open(codefilename, 'w') as f: + self.dump_c(routines, f, self.filename, funcname=funcname) + + # setup.py + with open('setup.py', 'w') as f: + self.dump_setup(f) + + @classmethod + def _get_wrapped_function(cls, mod, name): + return getattr(mod, name) + + def dump_setup(self, f): + setup = _ufunc_setup.substitute(module=self.module_name, + filename=self.filename) + f.write(setup) + + def dump_c(self, routines, f, prefix, funcname=None): + """Write a C file with Python wrappers + + This file contains all the definitions of the routines in c code. + + Arguments + --------- + routines + List of Routine instances + f + File-like object to write the file to + prefix + The filename prefix, used to name the imported module. + funcname + Name of the main function to be returned. + """ + if funcname is None: + if len(routines) == 1: + funcname = routines[0].name + else: + msg = 'funcname must be specified for multiple output routines' + raise ValueError(msg) + functions = [] + function_creation = [] + ufunc_init = [] + module = self.module_name + include_file = "\"{}.h\"".format(prefix) + top = _ufunc_top.substitute(include_file=include_file, module=module) + + name = funcname + + # Partition the C function arguments into categories + # Here we assume all routines accept the same arguments + r_index = 0 + py_in, _ = self._partition_args(routines[0].arguments) + n_in = len(py_in) + n_out = len(routines) + + # Declare Args + form = "char *{0}{1} = args[{2}];" + arg_decs = [form.format('in', i, i) for i in range(n_in)] + arg_decs.extend([form.format('out', i, i+n_in) for i in range(n_out)]) + declare_args = '\n '.join(arg_decs) + + # Declare Steps + form = "npy_intp {0}{1}_step = steps[{2}];" + step_decs = [form.format('in', i, i) for i in range(n_in)] + step_decs.extend([form.format('out', i, i+n_in) for i in range(n_out)]) + declare_steps = '\n '.join(step_decs) + + # Call Args + form = "*(double *)in{0}" + call_args = ', '.join([form.format(a) for a in range(n_in)]) + + # Step Increments + form = "{0}{1} += {0}{1}_step;" + step_incs = [form.format('in', i) for i in range(n_in)] + step_incs.extend([form.format('out', i, i) for i in range(n_out)]) + step_increments = '\n '.join(step_incs) + + # Types + n_types = n_in + n_out + types = "{" + ', '.join(["NPY_DOUBLE"]*n_types) + "};" + + # Docstring + docstring = '"Created in SymPy with Ufuncify"' + + # Function Creation + function_creation.append("PyObject *ufunc{};".format(r_index)) + + # Ufunc initialization + init_form = _ufunc_init_form.substitute(module=module, + funcname=name, + docstring=docstring, + n_in=n_in, n_out=n_out, + ind=r_index) + ufunc_init.append(init_form) + + outcalls = [_ufunc_outcalls.substitute( + outnum=i, call_args=call_args, funcname=routines[i].name) for i in + range(n_out)] + + body = _ufunc_body.substitute(module=module, funcname=name, + declare_args=declare_args, + declare_steps=declare_steps, + call_args=call_args, + step_increments=step_increments, + n_types=n_types, types=types, + outcalls='\n '.join(outcalls)) + functions.append(body) + + body = '\n\n'.join(functions) + ufunc_init = '\n '.join(ufunc_init) + function_creation = '\n '.join(function_creation) + bottom = _ufunc_bottom.substitute(module=module, + ufunc_init=ufunc_init, + function_creation=function_creation) + text = [top, body, bottom] + f.write('\n\n'.join(text)) + + def _partition_args(self, args): + """Group function arguments into categories.""" + py_in = [] + py_out = [] + for arg in args: + if isinstance(arg, OutputArgument): + py_out.append(arg) + elif isinstance(arg, InOutArgument): + raise ValueError("Ufuncify doesn't support InOutArguments") + else: + py_in.append(arg) + return py_in, py_out + + +@cacheit +@doctest_depends_on(exe=('f2py', 'gfortran', 'gcc'), modules=('numpy',)) +def ufuncify(args, expr, language=None, backend='numpy', tempdir=None, + flags=None, verbose=False, helpers=None, **kwargs): + """Generates a binary function that supports broadcasting on numpy arrays. + + Parameters + ========== + + args : iterable + Either a Symbol or an iterable of symbols. Specifies the argument + sequence for the function. + expr + A SymPy expression that defines the element wise operation. + language : string, optional + If supplied, (options: 'C' or 'F95'), specifies the language of the + generated code. If ``None`` [default], the language is inferred based + upon the specified backend. + backend : string, optional + Backend used to wrap the generated code. Either 'numpy' [default], + 'cython', or 'f2py'. + tempdir : string, optional + Path to directory for temporary files. If this argument is supplied, + the generated code and the wrapper input files are left intact in + the specified path. + flags : iterable, optional + Additional option flags that will be passed to the backend. + verbose : bool, optional + If True, autowrap will not mute the command line backends. This can + be helpful for debugging. + helpers : 3-tuple or iterable of 3-tuples, optional + Used to define auxiliary functions needed for the main expression. + Each tuple should be of the form (name, expr, args) where: + + - name : str, the function name + - expr : sympy expression, the function + - args : iterable, the function arguments (can be any iterable of symbols) + + kwargs : dict + These kwargs will be passed to autowrap if the `f2py` or `cython` + backend is used and ignored if the `numpy` backend is used. + + Notes + ===== + + The default backend ('numpy') will create actual instances of + ``numpy.ufunc``. These support ndimensional broadcasting, and implicit type + conversion. Use of the other backends will result in a "ufunc-like" + function, which requires equal length 1-dimensional arrays for all + arguments, and will not perform any type conversions. + + References + ========== + + .. [1] https://numpy.org/doc/stable/reference/ufuncs.html + + Examples + ======== + + Basic usage: + + >>> from sympy.utilities.autowrap import ufuncify + >>> from sympy.abc import x, y + >>> import numpy as np + >>> f = ufuncify((x, y), y + x**2) + >>> type(f) + + >>> f([1, 2, 3], 2) + array([ 3., 6., 11.]) + >>> f(np.arange(5), 3) + array([ 3., 4., 7., 12., 19.]) + + Using helper functions: + + >>> from sympy import Function + >>> helper_func = Function('helper_func') # Define symbolic function + >>> expr = x**2 + y*helper_func(x) # Main expression using helper function + >>> # Define helper_func(x) = x**3 + >>> f = ufuncify((x, y), expr, helpers=[('helper_func', x**3, [x])]) + >>> f([1, 2], [3, 4]) + array([ 4., 36.]) + + Type handling with different backends: + + For the 'f2py' and 'cython' backends, inputs are required to be equal length + 1-dimensional arrays. The 'f2py' backend will perform type conversion, but + the Cython backend will error if the inputs are not of the expected type. + + >>> f_fortran = ufuncify((x, y), y + x**2, backend='f2py') + >>> f_fortran(1, 2) + array([ 3.]) + >>> f_fortran(np.array([1, 2, 3]), np.array([1.0, 2.0, 3.0])) + array([ 2., 6., 12.]) + >>> f_cython = ufuncify((x, y), y + x**2, backend='Cython') + >>> f_cython(1, 2) # doctest: +ELLIPSIS + Traceback (most recent call last): + ... + TypeError: Argument '_x' has incorrect type (expected numpy.ndarray, got int) + >>> f_cython(np.array([1.0]), np.array([2.0])) + array([ 3.]) + + """ + + if isinstance(args, Symbol): + args = (args,) + else: + args = tuple(args) + + if language: + _validate_backend_language(backend, language) + else: + language = _infer_language(backend) + + helpers = helpers if helpers else () + flags = flags if flags else () + + if backend.upper() == 'NUMPY': + # maxargs is set by numpy compile-time constant NPY_MAXARGS + # If a future version of numpy modifies or removes this restriction + # this variable should be changed or removed + maxargs = 32 + helps = [] + for name, expr, args in helpers: + helps.append(make_routine(name, expr, args)) + code_wrapper = UfuncifyCodeWrapper(C99CodeGen("ufuncify"), tempdir, + flags, verbose) + if not isinstance(expr, (list, tuple)): + expr = [expr] + if len(expr) == 0: + raise ValueError('Expression iterable has zero length') + if len(expr) + len(args) > maxargs: + msg = ('Cannot create ufunc with more than {0} total arguments: ' + 'got {1} in, {2} out') + raise ValueError(msg.format(maxargs, len(args), len(expr))) + routines = [make_routine('autofunc{}'.format(idx), exprx, args) for + idx, exprx in enumerate(expr)] + return code_wrapper.wrap_code(routines, helpers=helps) + else: + # Dummies are used for all added expressions to prevent name clashes + # within the original expression. + y = IndexedBase(Dummy('y')) + m = Dummy('m', integer=True) + i = Idx(Dummy('i', integer=True), m) + f_dummy = Dummy('f') + f = implemented_function('%s_%d' % (f_dummy.name, f_dummy.dummy_index), Lambda(args, expr)) + # For each of the args create an indexed version. + indexed_args = [IndexedBase(Dummy(str(a))) for a in args] + # Order the arguments (out, args, dim) + args = [y] + indexed_args + [m] + args_with_indices = [a[i] for a in indexed_args] + return autowrap(Eq(y[i], f(*args_with_indices)), language, backend, + tempdir, args, flags, verbose, helpers, **kwargs) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/codegen.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/codegen.py new file mode 100644 index 0000000000000000000000000000000000000000..9ac8772fc000d707ae33c67eaa44b4c281157ab0 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/codegen.py @@ -0,0 +1,2237 @@ +""" +module for generating C, C++, Fortran77, Fortran90, Julia, Rust +and Octave/Matlab routines that evaluate SymPy expressions. +This module is work in progress. +Only the milestones with a '+' character in the list below have been completed. + +--- How is sympy.utilities.codegen different from sympy.printing.ccode? --- + +We considered the idea to extend the printing routines for SymPy functions in +such a way that it prints complete compilable code, but this leads to a few +unsurmountable issues that can only be tackled with dedicated code generator: + +- For C, one needs both a code and a header file, while the printing routines + generate just one string. This code generator can be extended to support + .pyf files for f2py. + +- SymPy functions are not concerned with programming-technical issues, such + as input, output and input-output arguments. Other examples are contiguous + or non-contiguous arrays, including headers of other libraries such as gsl + or others. + +- It is highly interesting to evaluate several SymPy functions in one C + routine, eventually sharing common intermediate results with the help + of the cse routine. This is more than just printing. + +- From the programming perspective, expressions with constants should be + evaluated in the code generator as much as possible. This is different + for printing. + +--- Basic assumptions --- + +* A generic Routine data structure describes the routine that must be + translated into C/Fortran/... code. This data structure covers all + features present in one or more of the supported languages. + +* Descendants from the CodeGen class transform multiple Routine instances + into compilable code. Each derived class translates into a specific + language. + +* In many cases, one wants a simple workflow. The friendly functions in the + last part are a simple api on top of the Routine/CodeGen stuff. They are + easier to use, but are less powerful. + +--- Milestones --- + ++ First working version with scalar input arguments, generating C code, + tests ++ Friendly functions that are easier to use than the rigorous + Routine/CodeGen workflow. ++ Integer and Real numbers as input and output ++ Output arguments ++ InputOutput arguments ++ Sort input/output arguments properly ++ Contiguous array arguments (numpy matrices) ++ Also generate .pyf code for f2py (in autowrap module) ++ Isolate constants and evaluate them beforehand in double precision ++ Fortran 90 ++ Octave/Matlab + +- Common Subexpression Elimination +- User defined comments in the generated code +- Optional extra include lines for libraries/objects that can eval special + functions +- Test other C compilers and libraries: gcc, tcc, libtcc, gcc+gsl, ... +- Contiguous array arguments (SymPy matrices) +- Non-contiguous array arguments (SymPy matrices) +- ccode must raise an error when it encounters something that cannot be + translated into c. ccode(integrate(sin(x)/x, x)) does not make sense. +- Complex numbers as input and output +- A default complex datatype +- Include extra information in the header: date, user, hostname, sha1 + hash, ... +- Fortran 77 +- C++ +- Python +- Julia +- Rust +- ... + +""" + +import os +import textwrap +from io import StringIO + +from sympy import __version__ as sympy_version +from sympy.core import Symbol, S, Tuple, Equality, Function, Basic +from sympy.printing.c import c_code_printers +from sympy.printing.codeprinter import AssignmentError +from sympy.printing.fortran import FCodePrinter +from sympy.printing.julia import JuliaCodePrinter +from sympy.printing.octave import OctaveCodePrinter +from sympy.printing.rust import RustCodePrinter +from sympy.tensor import Idx, Indexed, IndexedBase +from sympy.matrices import (MatrixSymbol, ImmutableMatrix, MatrixBase, + MatrixExpr, MatrixSlice) +from sympy.utilities.iterables import is_sequence + + +__all__ = [ + # description of routines + "Routine", "DataType", "default_datatypes", "get_default_datatype", + "Argument", "InputArgument", "OutputArgument", "Result", + # routines -> code + "CodeGen", "CCodeGen", "FCodeGen", "JuliaCodeGen", "OctaveCodeGen", + "RustCodeGen", + # friendly functions + "codegen", "make_routine", +] + + +# +# Description of routines +# + + +class Routine: + """Generic description of evaluation routine for set of expressions. + + A CodeGen class can translate instances of this class into code in a + particular language. The routine specification covers all the features + present in these languages. The CodeGen part must raise an exception + when certain features are not present in the target language. For + example, multiple return values are possible in Python, but not in C or + Fortran. Another example: Fortran and Python support complex numbers, + while C does not. + + """ + + def __init__(self, name, arguments, results, local_vars, global_vars): + """Initialize a Routine instance. + + Parameters + ========== + + name : string + Name of the routine. + + arguments : list of Arguments + These are things that appear in arguments of a routine, often + appearing on the right-hand side of a function call. These are + commonly InputArguments but in some languages, they can also be + OutputArguments or InOutArguments (e.g., pass-by-reference in C + code). + + results : list of Results + These are the return values of the routine, often appearing on + the left-hand side of a function call. The difference between + Results and OutputArguments and when you should use each is + language-specific. + + local_vars : list of Results + These are variables that will be defined at the beginning of the + function. + + global_vars : list of Symbols + Variables which will not be passed into the function. + + """ + + # extract all input symbols and all symbols appearing in an expression + input_symbols = set() + symbols = set() + for arg in arguments: + if isinstance(arg, OutputArgument): + symbols.update(arg.expr.free_symbols - arg.expr.atoms(Indexed)) + elif isinstance(arg, InputArgument): + input_symbols.add(arg.name) + elif isinstance(arg, InOutArgument): + input_symbols.add(arg.name) + symbols.update(arg.expr.free_symbols - arg.expr.atoms(Indexed)) + else: + raise ValueError("Unknown Routine argument: %s" % arg) + + for r in results: + if not isinstance(r, Result): + raise ValueError("Unknown Routine result: %s" % r) + symbols.update(r.expr.free_symbols - r.expr.atoms(Indexed)) + + local_symbols = set() + for r in local_vars: + if isinstance(r, Result): + symbols.update(r.expr.free_symbols - r.expr.atoms(Indexed)) + local_symbols.add(r.name) + else: + local_symbols.add(r) + + symbols = {s.label if isinstance(s, Idx) else s for s in symbols} + + # Check that all symbols in the expressions are covered by + # InputArguments/InOutArguments---subset because user could + # specify additional (unused) InputArguments or local_vars. + notcovered = symbols.difference( + input_symbols.union(local_symbols).union(global_vars)) + if notcovered != set(): + raise ValueError("Symbols needed for output are not in input " + + ", ".join([str(x) for x in notcovered])) + + self.name = name + self.arguments = arguments + self.results = results + self.local_vars = local_vars + self.global_vars = global_vars + + def __str__(self): + return self.__class__.__name__ + "({name!r}, {arguments}, {results}, {local_vars}, {global_vars})".format(**self.__dict__) + + __repr__ = __str__ + + @property + def variables(self): + """Returns a set of all variables possibly used in the routine. + + For routines with unnamed return values, the dummies that may or + may not be used will be included in the set. + + """ + v = set(self.local_vars) + v.update(arg.name for arg in self.arguments) + v.update(res.result_var for res in self.results) + return v + + @property + def result_variables(self): + """Returns a list of OutputArgument, InOutArgument and Result. + + If return values are present, they are at the end of the list. + """ + args = [arg for arg in self.arguments if isinstance( + arg, (OutputArgument, InOutArgument))] + args.extend(self.results) + return args + + +class DataType: + """Holds strings for a certain datatype in different languages.""" + def __init__(self, cname, fname, pyname, jlname, octname, rsname): + self.cname = cname + self.fname = fname + self.pyname = pyname + self.jlname = jlname + self.octname = octname + self.rsname = rsname + + +default_datatypes = { + "int": DataType("int", "INTEGER*4", "int", "", "", "i32"), + "float": DataType("double", "REAL*8", "float", "", "", "f64"), + "complex": DataType("double", "COMPLEX*16", "complex", "", "", "float") #FIXME: + # complex is only supported in fortran, python, julia, and octave. + # So to not break c or rust code generation, we stick with double or + # float, respectively (but actually should raise an exception for + # explicitly complex variables (x.is_complex==True)) +} + + +COMPLEX_ALLOWED = False +def get_default_datatype(expr, complex_allowed=None): + """Derives an appropriate datatype based on the expression.""" + if complex_allowed is None: + complex_allowed = COMPLEX_ALLOWED + if complex_allowed: + final_dtype = "complex" + else: + final_dtype = "float" + if expr.is_integer: + return default_datatypes["int"] + elif expr.is_real: + return default_datatypes["float"] + elif isinstance(expr, MatrixBase): + #check all entries + dt = "int" + for element in expr: + if dt == "int" and not element.is_integer: + dt = "float" + if dt == "float" and not element.is_real: + return default_datatypes[final_dtype] + return default_datatypes[dt] + else: + return default_datatypes[final_dtype] + + +class Variable: + """Represents a typed variable.""" + + def __init__(self, name, datatype=None, dimensions=None, precision=None): + """Return a new variable. + + Parameters + ========== + + name : Symbol or MatrixSymbol + + datatype : optional + When not given, the data type will be guessed based on the + assumptions on the symbol argument. + + dimensions : sequence containing tuples, optional + If present, the argument is interpreted as an array, where this + sequence of tuples specifies (lower, upper) bounds for each + index of the array. + + precision : int, optional + Controls the precision of floating point constants. + + """ + if not isinstance(name, (Symbol, MatrixSymbol)): + raise TypeError("The first argument must be a SymPy symbol.") + if datatype is None: + datatype = get_default_datatype(name) + elif not isinstance(datatype, DataType): + raise TypeError("The (optional) `datatype' argument must be an " + "instance of the DataType class.") + if dimensions and not isinstance(dimensions, (tuple, list)): + raise TypeError( + "The dimensions argument must be a sequence of tuples") + + self._name = name + self._datatype = { + 'C': datatype.cname, + 'FORTRAN': datatype.fname, + 'JULIA': datatype.jlname, + 'OCTAVE': datatype.octname, + 'PYTHON': datatype.pyname, + 'RUST': datatype.rsname, + } + self.dimensions = dimensions + self.precision = precision + + def __str__(self): + return "%s(%r)" % (self.__class__.__name__, self.name) + + __repr__ = __str__ + + @property + def name(self): + return self._name + + def get_datatype(self, language): + """Returns the datatype string for the requested language. + + Examples + ======== + + >>> from sympy import Symbol + >>> from sympy.utilities.codegen import Variable + >>> x = Variable(Symbol('x')) + >>> x.get_datatype('c') + 'double' + >>> x.get_datatype('fortran') + 'REAL*8' + + """ + try: + return self._datatype[language.upper()] + except KeyError: + raise CodeGenError("Has datatypes for languages: %s" % + ", ".join(self._datatype)) + + +class Argument(Variable): + """An abstract Argument data structure: a name and a data type. + + This structure is refined in the descendants below. + + """ + pass + + +class InputArgument(Argument): + pass + + +class ResultBase: + """Base class for all "outgoing" information from a routine. + + Objects of this class stores a SymPy expression, and a SymPy object + representing a result variable that will be used in the generated code + only if necessary. + + """ + def __init__(self, expr, result_var): + self.expr = expr + self.result_var = result_var + + def __str__(self): + return "%s(%r, %r)" % (self.__class__.__name__, self.expr, + self.result_var) + + __repr__ = __str__ + + +class OutputArgument(Argument, ResultBase): + """OutputArgument are always initialized in the routine.""" + + def __init__(self, name, result_var, expr, datatype=None, dimensions=None, precision=None): + """Return a new variable. + + Parameters + ========== + + name : Symbol, MatrixSymbol + The name of this variable. When used for code generation, this + might appear, for example, in the prototype of function in the + argument list. + + result_var : Symbol, Indexed + Something that can be used to assign a value to this variable. + Typically the same as `name` but for Indexed this should be e.g., + "y[i]" whereas `name` should be the Symbol "y". + + expr : object + The expression that should be output, typically a SymPy + expression. + + datatype : optional + When not given, the data type will be guessed based on the + assumptions on the symbol argument. + + dimensions : sequence containing tuples, optional + If present, the argument is interpreted as an array, where this + sequence of tuples specifies (lower, upper) bounds for each + index of the array. + + precision : int, optional + Controls the precision of floating point constants. + + """ + + Argument.__init__(self, name, datatype, dimensions, precision) + ResultBase.__init__(self, expr, result_var) + + def __str__(self): + return "%s(%r, %r, %r)" % (self.__class__.__name__, self.name, self.result_var, self.expr) + + __repr__ = __str__ + + +class InOutArgument(Argument, ResultBase): + """InOutArgument are never initialized in the routine.""" + + def __init__(self, name, result_var, expr, datatype=None, dimensions=None, precision=None): + if not datatype: + datatype = get_default_datatype(expr) + Argument.__init__(self, name, datatype, dimensions, precision) + ResultBase.__init__(self, expr, result_var) + __init__.__doc__ = OutputArgument.__init__.__doc__ + + + def __str__(self): + return "%s(%r, %r, %r)" % (self.__class__.__name__, self.name, self.expr, + self.result_var) + + __repr__ = __str__ + + +class Result(Variable, ResultBase): + """An expression for a return value. + + The name result is used to avoid conflicts with the reserved word + "return" in the Python language. It is also shorter than ReturnValue. + + These may or may not need a name in the destination (e.g., "return(x*y)" + might return a value without ever naming it). + + """ + + def __init__(self, expr, name=None, result_var=None, datatype=None, + dimensions=None, precision=None): + """Initialize a return value. + + Parameters + ========== + + expr : SymPy expression + + name : Symbol, MatrixSymbol, optional + The name of this return variable. When used for code generation, + this might appear, for example, in the prototype of function in a + list of return values. A dummy name is generated if omitted. + + result_var : Symbol, Indexed, optional + Something that can be used to assign a value to this variable. + Typically the same as `name` but for Indexed this should be e.g., + "y[i]" whereas `name` should be the Symbol "y". Defaults to + `name` if omitted. + + datatype : optional + When not given, the data type will be guessed based on the + assumptions on the expr argument. + + dimensions : sequence containing tuples, optional + If present, this variable is interpreted as an array, + where this sequence of tuples specifies (lower, upper) + bounds for each index of the array. + + precision : int, optional + Controls the precision of floating point constants. + + """ + # Basic because it is the base class for all types of expressions + if not isinstance(expr, (Basic, MatrixBase)): + raise TypeError("The first argument must be a SymPy expression.") + + if name is None: + name = 'result_%d' % abs(hash(expr)) + + if datatype is None: + #try to infer data type from the expression + datatype = get_default_datatype(expr) + + if isinstance(name, str): + if isinstance(expr, (MatrixBase, MatrixExpr)): + name = MatrixSymbol(name, *expr.shape) + else: + name = Symbol(name) + + if result_var is None: + result_var = name + + Variable.__init__(self, name, datatype=datatype, + dimensions=dimensions, precision=precision) + ResultBase.__init__(self, expr, result_var) + + def __str__(self): + return "%s(%r, %r, %r)" % (self.__class__.__name__, self.expr, self.name, + self.result_var) + + __repr__ = __str__ + + +# +# Transformation of routine objects into code +# + +class CodeGen: + """Abstract class for the code generators.""" + + printer = None # will be set to an instance of a CodePrinter subclass + + def _indent_code(self, codelines): + return self.printer.indent_code(codelines) + + def _printer_method_with_settings(self, method, settings=None, *args, **kwargs): + settings = settings or {} + ori = {k: self.printer._settings[k] for k in settings} + for k, v in settings.items(): + self.printer._settings[k] = v + result = getattr(self.printer, method)(*args, **kwargs) + for k, v in ori.items(): + self.printer._settings[k] = v + return result + + def _get_symbol(self, s): + """Returns the symbol as fcode prints it.""" + if self.printer._settings['human']: + expr_str = self.printer.doprint(s) + else: + constants, not_supported, expr_str = self.printer.doprint(s) + if constants or not_supported: + raise ValueError("Failed to print %s" % str(s)) + return expr_str.strip() + + def __init__(self, project="project", cse=False): + """Initialize a code generator. + + Derived classes will offer more options that affect the generated + code. + + """ + self.project = project + self.cse = cse + + def routine(self, name, expr, argument_sequence=None, global_vars=None): + """Creates an Routine object that is appropriate for this language. + + This implementation is appropriate for at least C/Fortran. Subclasses + can override this if necessary. + + Here, we assume at most one return value (the l-value) which must be + scalar. Additional outputs are OutputArguments (e.g., pointers on + right-hand-side or pass-by-reference). Matrices are always returned + via OutputArguments. If ``argument_sequence`` is None, arguments will + be ordered alphabetically, but with all InputArguments first, and then + OutputArgument and InOutArguments. + + """ + + if self.cse: + from sympy.simplify.cse_main import cse + + if is_sequence(expr) and not isinstance(expr, (MatrixBase, MatrixExpr)): + if not expr: + raise ValueError("No expression given") + for e in expr: + if not e.is_Equality: + raise CodeGenError("Lists of expressions must all be Equalities. {} is not.".format(e)) + + # create a list of right hand sides and simplify them + rhs = [e.rhs for e in expr] + common, simplified = cse(rhs) + + # pack the simplified expressions back up with their left hand sides + expr = [Equality(e.lhs, rhs) for e, rhs in zip(expr, simplified)] + else: + if isinstance(expr, Equality): + common, simplified = cse(expr.rhs) #, ignore=in_out_args) + expr = Equality(expr.lhs, simplified[0]) + else: + common, simplified = cse(expr) + expr = simplified + + local_vars = [Result(b,a) for a,b in common] + local_symbols = {a for a,_ in common} + local_expressions = Tuple(*[b for _,b in common]) + else: + local_expressions = Tuple() + + if is_sequence(expr) and not isinstance(expr, (MatrixBase, MatrixExpr)): + if not expr: + raise ValueError("No expression given") + expressions = Tuple(*expr) + else: + expressions = Tuple(expr) + + if self.cse: + if {i.label for i in expressions.atoms(Idx)} != set(): + raise CodeGenError("CSE and Indexed expressions do not play well together yet") + else: + # local variables for indexed expressions + local_vars = {i.label for i in expressions.atoms(Idx)} + local_symbols = local_vars + + # global variables + global_vars = set() if global_vars is None else set(global_vars) + + # symbols that should be arguments + symbols = (expressions.free_symbols | local_expressions.free_symbols) - local_symbols - global_vars + new_symbols = set() + new_symbols.update(symbols) + + for symbol in symbols: + if isinstance(symbol, Idx): + new_symbols.remove(symbol) + new_symbols.update(symbol.args[1].free_symbols) + if isinstance(symbol, Indexed): + new_symbols.remove(symbol) + symbols = new_symbols + + # Decide whether to use output argument or return value + return_val = [] + output_args = [] + for expr in expressions: + if isinstance(expr, Equality): + out_arg = expr.lhs + expr = expr.rhs + if isinstance(out_arg, Indexed): + dims = tuple([ (S.Zero, dim - 1) for dim in out_arg.shape]) + symbol = out_arg.base.label + elif isinstance(out_arg, Symbol): + dims = [] + symbol = out_arg + elif isinstance(out_arg, MatrixSymbol): + dims = tuple([ (S.Zero, dim - 1) for dim in out_arg.shape]) + symbol = out_arg + else: + raise CodeGenError("Only Indexed, Symbol, or MatrixSymbol " + "can define output arguments.") + + if expr.has(symbol): + output_args.append( + InOutArgument(symbol, out_arg, expr, dimensions=dims)) + else: + output_args.append( + OutputArgument(symbol, out_arg, expr, dimensions=dims)) + + # remove duplicate arguments when they are not local variables + if symbol not in local_vars: + # avoid duplicate arguments + symbols.remove(symbol) + elif isinstance(expr, (ImmutableMatrix, MatrixSlice)): + # Create a "dummy" MatrixSymbol to use as the Output arg + out_arg = MatrixSymbol('out_%s' % abs(hash(expr)), *expr.shape) + dims = tuple([(S.Zero, dim - 1) for dim in out_arg.shape]) + output_args.append( + OutputArgument(out_arg, out_arg, expr, dimensions=dims)) + else: + return_val.append(Result(expr)) + + arg_list = [] + + # setup input argument list + + # helper to get dimensions for data for array-like args + def dimensions(s): + return [(S.Zero, dim - 1) for dim in s.shape] + + array_symbols = {} + for array in expressions.atoms(Indexed) | local_expressions.atoms(Indexed): + array_symbols[array.base.label] = array + for array in expressions.atoms(MatrixSymbol) | local_expressions.atoms(MatrixSymbol): + array_symbols[array] = array + + for symbol in sorted(symbols, key=str): + if symbol in array_symbols: + array = array_symbols[symbol] + metadata = {'dimensions': dimensions(array)} + else: + metadata = {} + + arg_list.append(InputArgument(symbol, **metadata)) + + output_args.sort(key=lambda x: str(x.name)) + arg_list.extend(output_args) + + if argument_sequence is not None: + # if the user has supplied IndexedBase instances, we'll accept that + new_sequence = [] + for arg in argument_sequence: + if isinstance(arg, IndexedBase): + new_sequence.append(arg.label) + else: + new_sequence.append(arg) + argument_sequence = new_sequence + + missing = [x for x in arg_list if x.name not in argument_sequence] + if missing: + msg = "Argument list didn't specify: {0} " + msg = msg.format(", ".join([str(m.name) for m in missing])) + raise CodeGenArgumentListError(msg, missing) + + # create redundant arguments to produce the requested sequence + name_arg_dict = {x.name: x for x in arg_list} + new_args = [] + for symbol in argument_sequence: + try: + new_args.append(name_arg_dict[symbol]) + except KeyError: + if isinstance(symbol, (IndexedBase, MatrixSymbol)): + metadata = {'dimensions': dimensions(symbol)} + else: + metadata = {} + new_args.append(InputArgument(symbol, **metadata)) + arg_list = new_args + + return Routine(name, arg_list, return_val, local_vars, global_vars) + + def write(self, routines, prefix, to_files=False, header=True, empty=True): + """Writes all the source code files for the given routines. + + The generated source is returned as a list of (filename, contents) + tuples, or is written to files (see below). Each filename consists + of the given prefix, appended with an appropriate extension. + + Parameters + ========== + + routines : list + A list of Routine instances to be written + + prefix : string + The prefix for the output files + + to_files : bool, optional + When True, the output is written to files. Otherwise, a list + of (filename, contents) tuples is returned. [default: False] + + header : bool, optional + When True, a header comment is included on top of each source + file. [default: True] + + empty : bool, optional + When True, empty lines are included to structure the source + files. [default: True] + + """ + if to_files: + for dump_fn in self.dump_fns: + filename = "%s.%s" % (prefix, dump_fn.extension) + with open(filename, "w") as f: + dump_fn(self, routines, f, prefix, header, empty) + else: + result = [] + for dump_fn in self.dump_fns: + filename = "%s.%s" % (prefix, dump_fn.extension) + contents = StringIO() + dump_fn(self, routines, contents, prefix, header, empty) + result.append((filename, contents.getvalue())) + return result + + def dump_code(self, routines, f, prefix, header=True, empty=True): + """Write the code by calling language specific methods. + + The generated file contains all the definitions of the routines in + low-level code and refers to the header file if appropriate. + + Parameters + ========== + + routines : list + A list of Routine instances. + + f : file-like + Where to write the file. + + prefix : string + The filename prefix, used to refer to the proper header file. + Only the basename of the prefix is used. + + header : bool, optional + When True, a header comment is included on top of each source + file. [default : True] + + empty : bool, optional + When True, empty lines are included to structure the source + files. [default : True] + + """ + + code_lines = self._preprocessor_statements(prefix) + + for routine in routines: + if empty: + code_lines.append("\n") + code_lines.extend(self._get_routine_opening(routine)) + code_lines.extend(self._declare_arguments(routine)) + code_lines.extend(self._declare_globals(routine)) + code_lines.extend(self._declare_locals(routine)) + if empty: + code_lines.append("\n") + code_lines.extend(self._call_printer(routine)) + if empty: + code_lines.append("\n") + code_lines.extend(self._get_routine_ending(routine)) + + code_lines = self._indent_code(''.join(code_lines)) + + if header: + code_lines = ''.join(self._get_header() + [code_lines]) + + if code_lines: + f.write(code_lines) + + +class CodeGenError(Exception): + pass + + +class CodeGenArgumentListError(Exception): + @property + def missing_args(self): + return self.args[1] + + +header_comment = """Code generated with SymPy %(version)s + +See http://www.sympy.org/ for more information. + +This file is part of '%(project)s' +""" + + +class CCodeGen(CodeGen): + """Generator for C code. + + The .write() method inherited from CodeGen will output a code file and + an interface file, .c and .h respectively. + + """ + + code_extension = "c" + interface_extension = "h" + standard = 'c99' + + def __init__(self, project="project", printer=None, + preprocessor_statements=None, cse=False): + super().__init__(project=project, cse=cse) + self.printer = printer or c_code_printers[self.standard.lower()]() + + self.preprocessor_statements = preprocessor_statements + if preprocessor_statements is None: + self.preprocessor_statements = ['#include '] + + def _get_header(self): + """Writes a common header for the generated files.""" + code_lines = [] + code_lines.append("/" + "*"*78 + '\n') + tmp = header_comment % {"version": sympy_version, + "project": self.project} + for line in tmp.splitlines(): + code_lines.append(" *%s*\n" % line.center(76)) + code_lines.append(" " + "*"*78 + "/\n") + return code_lines + + def get_prototype(self, routine): + """Returns a string for the function prototype of the routine. + + If the routine has multiple result objects, an CodeGenError is + raised. + + See: https://en.wikipedia.org/wiki/Function_prototype + + """ + if len(routine.results) > 1: + raise CodeGenError("C only supports a single or no return value.") + elif len(routine.results) == 1: + ctype = routine.results[0].get_datatype('C') + else: + ctype = "void" + + type_args = [] + for arg in routine.arguments: + name = self.printer.doprint(arg.name) + if arg.dimensions or isinstance(arg, ResultBase): + type_args.append((arg.get_datatype('C'), "*%s" % name)) + else: + type_args.append((arg.get_datatype('C'), name)) + arguments = ", ".join([ "%s %s" % t for t in type_args]) + return "%s %s(%s)" % (ctype, routine.name, arguments) + + def _preprocessor_statements(self, prefix): + code_lines = [] + code_lines.append('#include "{}.h"'.format(os.path.basename(prefix))) + code_lines.extend(self.preprocessor_statements) + code_lines = ['{}\n'.format(l) for l in code_lines] + return code_lines + + def _get_routine_opening(self, routine): + prototype = self.get_prototype(routine) + return ["%s {\n" % prototype] + + def _declare_arguments(self, routine): + # arguments are declared in prototype + return [] + + def _declare_globals(self, routine): + # global variables are not explicitly declared within C functions + return [] + + def _declare_locals(self, routine): + + # Compose a list of symbols to be dereferenced in the function + # body. These are the arguments that were passed by a reference + # pointer, excluding arrays. + dereference = [] + for arg in routine.arguments: + if isinstance(arg, ResultBase) and not arg.dimensions: + dereference.append(arg.name) + + code_lines = [] + for result in routine.local_vars: + + # local variables that are simple symbols such as those used as indices into + # for loops are defined declared elsewhere. + if not isinstance(result, Result): + continue + + if result.name != result.result_var: + raise CodeGen("Result variable and name should match: {}".format(result)) + assign_to = result.name + t = result.get_datatype('c') + if isinstance(result.expr, (MatrixBase, MatrixExpr)): + dims = result.expr.shape + code_lines.append("{} {}[{}];\n".format(t, str(assign_to), dims[0]*dims[1])) + prefix = "" + else: + prefix = "const {} ".format(t) + + constants, not_c, c_expr = self._printer_method_with_settings( + 'doprint', {"human": False, "dereference": dereference, "strict": False}, + result.expr, assign_to=assign_to) + + for name, value in sorted(constants, key=str): + code_lines.append("double const %s = %s;\n" % (name, value)) + + code_lines.append("{}{}\n".format(prefix, c_expr)) + + return code_lines + + def _call_printer(self, routine): + code_lines = [] + + # Compose a list of symbols to be dereferenced in the function + # body. These are the arguments that were passed by a reference + # pointer, excluding arrays. + dereference = [] + for arg in routine.arguments: + if isinstance(arg, ResultBase) and not arg.dimensions: + dereference.append(arg.name) + + return_val = None + for result in routine.result_variables: + if isinstance(result, Result): + assign_to = routine.name + "_result" + t = result.get_datatype('c') + code_lines.append("{} {};\n".format(t, str(assign_to))) + return_val = assign_to + else: + assign_to = result.result_var + + try: + constants, not_c, c_expr = self._printer_method_with_settings( + 'doprint', {"human": False, "dereference": dereference, "strict": False}, + result.expr, assign_to=assign_to) + except AssignmentError: + assign_to = result.result_var + code_lines.append( + "%s %s;\n" % (result.get_datatype('c'), str(assign_to))) + constants, not_c, c_expr = self._printer_method_with_settings( + 'doprint', {"human": False, "dereference": dereference, "strict": False}, + result.expr, assign_to=assign_to) + + for name, value in sorted(constants, key=str): + code_lines.append("double const %s = %s;\n" % (name, value)) + code_lines.append("%s\n" % c_expr) + + if return_val: + code_lines.append(" return %s;\n" % return_val) + return code_lines + + def _get_routine_ending(self, routine): + return ["}\n"] + + def dump_c(self, routines, f, prefix, header=True, empty=True): + self.dump_code(routines, f, prefix, header, empty) + dump_c.extension = code_extension # type: ignore + dump_c.__doc__ = CodeGen.dump_code.__doc__ + + def dump_h(self, routines, f, prefix, header=True, empty=True): + """Writes the C header file. + + This file contains all the function declarations. + + Parameters + ========== + + routines : list + A list of Routine instances. + + f : file-like + Where to write the file. + + prefix : string + The filename prefix, used to construct the include guards. + Only the basename of the prefix is used. + + header : bool, optional + When True, a header comment is included on top of each source + file. [default : True] + + empty : bool, optional + When True, empty lines are included to structure the source + files. [default : True] + + """ + if header: + print(''.join(self._get_header()), file=f) + guard_name = "%s__%s__H" % (self.project.replace( + " ", "_").upper(), prefix.replace("/", "_").upper()) + # include guards + if empty: + print(file=f) + print("#ifndef %s" % guard_name, file=f) + print("#define %s" % guard_name, file=f) + if empty: + print(file=f) + # declaration of the function prototypes + for routine in routines: + prototype = self.get_prototype(routine) + print("%s;" % prototype, file=f) + # end if include guards + if empty: + print(file=f) + print("#endif", file=f) + if empty: + print(file=f) + dump_h.extension = interface_extension # type: ignore + + # This list of dump functions is used by CodeGen.write to know which dump + # functions it has to call. + dump_fns = [dump_c, dump_h] + +class C89CodeGen(CCodeGen): + standard = 'C89' + +class C99CodeGen(CCodeGen): + standard = 'C99' + +class FCodeGen(CodeGen): + """Generator for Fortran 95 code + + The .write() method inherited from CodeGen will output a code file and + an interface file, .f90 and .h respectively. + + """ + + code_extension = "f90" + interface_extension = "h" + + def __init__(self, project='project', printer=None): + super().__init__(project) + self.printer = printer or FCodePrinter() + + def _get_header(self): + """Writes a common header for the generated files.""" + code_lines = [] + code_lines.append("!" + "*"*78 + '\n') + tmp = header_comment % {"version": sympy_version, + "project": self.project} + for line in tmp.splitlines(): + code_lines.append("!*%s*\n" % line.center(76)) + code_lines.append("!" + "*"*78 + '\n') + return code_lines + + def _preprocessor_statements(self, prefix): + return [] + + def _get_routine_opening(self, routine): + """Returns the opening statements of the fortran routine.""" + code_list = [] + if len(routine.results) > 1: + raise CodeGenError( + "Fortran only supports a single or no return value.") + elif len(routine.results) == 1: + result = routine.results[0] + code_list.append(result.get_datatype('fortran')) + code_list.append("function") + else: + code_list.append("subroutine") + + args = ", ".join("%s" % self._get_symbol(arg.name) + for arg in routine.arguments) + + call_sig = "{}({})\n".format(routine.name, args) + # Fortran 95 requires all lines be less than 132 characters, so wrap + # this line before appending. + call_sig = ' &\n'.join(textwrap.wrap(call_sig, + width=60, + break_long_words=False)) + '\n' + code_list.append(call_sig) + code_list = [' '.join(code_list)] + code_list.append('implicit none\n') + return code_list + + def _declare_arguments(self, routine): + # argument type declarations + code_list = [] + array_list = [] + scalar_list = [] + for arg in routine.arguments: + + if isinstance(arg, InputArgument): + typeinfo = "%s, intent(in)" % arg.get_datatype('fortran') + elif isinstance(arg, InOutArgument): + typeinfo = "%s, intent(inout)" % arg.get_datatype('fortran') + elif isinstance(arg, OutputArgument): + typeinfo = "%s, intent(out)" % arg.get_datatype('fortran') + else: + raise CodeGenError("Unknown Argument type: %s" % type(arg)) + + fprint = self._get_symbol + + if arg.dimensions: + # fortran arrays start at 1 + dimstr = ", ".join(["%s:%s" % ( + fprint(dim[0] + 1), fprint(dim[1] + 1)) + for dim in arg.dimensions]) + typeinfo += ", dimension(%s)" % dimstr + array_list.append("%s :: %s\n" % (typeinfo, fprint(arg.name))) + else: + scalar_list.append("%s :: %s\n" % (typeinfo, fprint(arg.name))) + + # scalars first, because they can be used in array declarations + code_list.extend(scalar_list) + code_list.extend(array_list) + + return code_list + + def _declare_globals(self, routine): + # Global variables not explicitly declared within Fortran 90 functions. + # Note: a future F77 mode may need to generate "common" blocks. + return [] + + def _declare_locals(self, routine): + code_list = [] + for var in sorted(routine.local_vars, key=str): + typeinfo = get_default_datatype(var) + code_list.append("%s :: %s\n" % ( + typeinfo.fname, self._get_symbol(var))) + return code_list + + def _get_routine_ending(self, routine): + """Returns the closing statements of the fortran routine.""" + if len(routine.results) == 1: + return ["end function\n"] + else: + return ["end subroutine\n"] + + def get_interface(self, routine): + """Returns a string for the function interface. + + The routine should have a single result object, which can be None. + If the routine has multiple result objects, a CodeGenError is + raised. + + See: https://en.wikipedia.org/wiki/Function_prototype + + """ + prototype = [ "interface\n" ] + prototype.extend(self._get_routine_opening(routine)) + prototype.extend(self._declare_arguments(routine)) + prototype.extend(self._get_routine_ending(routine)) + prototype.append("end interface\n") + + return "".join(prototype) + + def _call_printer(self, routine): + declarations = [] + code_lines = [] + for result in routine.result_variables: + if isinstance(result, Result): + assign_to = routine.name + elif isinstance(result, (OutputArgument, InOutArgument)): + assign_to = result.result_var + + constants, not_fortran, f_expr = self._printer_method_with_settings( + 'doprint', {"human": False, "source_format": 'free', "standard": 95, "strict": False}, + result.expr, assign_to=assign_to) + + for obj, v in sorted(constants, key=str): + t = get_default_datatype(obj) + declarations.append( + "%s, parameter :: %s = %s\n" % (t.fname, obj, v)) + for obj in sorted(not_fortran, key=str): + t = get_default_datatype(obj) + if isinstance(obj, Function): + name = obj.func + else: + name = obj + declarations.append("%s :: %s\n" % (t.fname, name)) + + code_lines.append("%s\n" % f_expr) + return declarations + code_lines + + def _indent_code(self, codelines): + return self._printer_method_with_settings( + 'indent_code', {"human": False, "source_format": 'free', "strict": False}, codelines) + + def dump_f95(self, routines, f, prefix, header=True, empty=True): + # check that symbols are unique with ignorecase + for r in routines: + lowercase = {str(x).lower() for x in r.variables} + orig_case = {str(x) for x in r.variables} + if len(lowercase) < len(orig_case): + raise CodeGenError("Fortran ignores case. Got symbols: %s" % + (", ".join([str(var) for var in r.variables]))) + self.dump_code(routines, f, prefix, header, empty) + dump_f95.extension = code_extension # type: ignore + dump_f95.__doc__ = CodeGen.dump_code.__doc__ + + def dump_h(self, routines, f, prefix, header=True, empty=True): + """Writes the interface to a header file. + + This file contains all the function declarations. + + Parameters + ========== + + routines : list + A list of Routine instances. + + f : file-like + Where to write the file. + + prefix : string + The filename prefix. + + header : bool, optional + When True, a header comment is included on top of each source + file. [default : True] + + empty : bool, optional + When True, empty lines are included to structure the source + files. [default : True] + + """ + if header: + print(''.join(self._get_header()), file=f) + if empty: + print(file=f) + # declaration of the function prototypes + for routine in routines: + prototype = self.get_interface(routine) + f.write(prototype) + if empty: + print(file=f) + dump_h.extension = interface_extension # type: ignore + + # This list of dump functions is used by CodeGen.write to know which dump + # functions it has to call. + dump_fns = [dump_f95, dump_h] + + +class JuliaCodeGen(CodeGen): + """Generator for Julia code. + + The .write() method inherited from CodeGen will output a code file + .jl. + + """ + + code_extension = "jl" + + def __init__(self, project='project', printer=None): + super().__init__(project) + self.printer = printer or JuliaCodePrinter() + + def routine(self, name, expr, argument_sequence, global_vars): + """Specialized Routine creation for Julia.""" + + if is_sequence(expr) and not isinstance(expr, (MatrixBase, MatrixExpr)): + if not expr: + raise ValueError("No expression given") + expressions = Tuple(*expr) + else: + expressions = Tuple(expr) + + # local variables + local_vars = {i.label for i in expressions.atoms(Idx)} + + # global variables + global_vars = set() if global_vars is None else set(global_vars) + + # symbols that should be arguments + old_symbols = expressions.free_symbols - local_vars - global_vars + symbols = set() + for s in old_symbols: + if isinstance(s, Idx): + symbols.update(s.args[1].free_symbols) + elif not isinstance(s, Indexed): + symbols.add(s) + + # Julia supports multiple return values + return_vals = [] + output_args = [] + for (i, expr) in enumerate(expressions): + if isinstance(expr, Equality): + out_arg = expr.lhs + expr = expr.rhs + symbol = out_arg + if isinstance(out_arg, Indexed): + dims = tuple([ (S.One, dim) for dim in out_arg.shape]) + symbol = out_arg.base.label + output_args.append(InOutArgument(symbol, out_arg, expr, dimensions=dims)) + if not isinstance(out_arg, (Indexed, Symbol, MatrixSymbol)): + raise CodeGenError("Only Indexed, Symbol, or MatrixSymbol " + "can define output arguments.") + + return_vals.append(Result(expr, name=symbol, result_var=out_arg)) + if not expr.has(symbol): + # this is a pure output: remove from the symbols list, so + # it doesn't become an input. + symbols.remove(symbol) + + else: + # we have no name for this output + return_vals.append(Result(expr, name='out%d' % (i+1))) + + # setup input argument list + output_args.sort(key=lambda x: str(x.name)) + arg_list = list(output_args) + array_symbols = {} + for array in expressions.atoms(Indexed): + array_symbols[array.base.label] = array + for array in expressions.atoms(MatrixSymbol): + array_symbols[array] = array + + for symbol in sorted(symbols, key=str): + arg_list.append(InputArgument(symbol)) + + if argument_sequence is not None: + # if the user has supplied IndexedBase instances, we'll accept that + new_sequence = [] + for arg in argument_sequence: + if isinstance(arg, IndexedBase): + new_sequence.append(arg.label) + else: + new_sequence.append(arg) + argument_sequence = new_sequence + + missing = [x for x in arg_list if x.name not in argument_sequence] + if missing: + msg = "Argument list didn't specify: {0} " + msg = msg.format(", ".join([str(m.name) for m in missing])) + raise CodeGenArgumentListError(msg, missing) + + # create redundant arguments to produce the requested sequence + name_arg_dict = {x.name: x for x in arg_list} + new_args = [] + for symbol in argument_sequence: + try: + new_args.append(name_arg_dict[symbol]) + except KeyError: + new_args.append(InputArgument(symbol)) + arg_list = new_args + + return Routine(name, arg_list, return_vals, local_vars, global_vars) + + def _get_header(self): + """Writes a common header for the generated files.""" + code_lines = [] + tmp = header_comment % {"version": sympy_version, + "project": self.project} + for line in tmp.splitlines(): + if line == '': + code_lines.append("#\n") + else: + code_lines.append("# %s\n" % line) + return code_lines + + def _preprocessor_statements(self, prefix): + return [] + + def _get_routine_opening(self, routine): + """Returns the opening statements of the routine.""" + code_list = [] + code_list.append("function ") + + # Inputs + args = [] + for arg in routine.arguments: + if isinstance(arg, OutputArgument): + raise CodeGenError("Julia: invalid argument of type %s" % + str(type(arg))) + if isinstance(arg, (InputArgument, InOutArgument)): + args.append("%s" % self._get_symbol(arg.name)) + args = ", ".join(args) + code_list.append("%s(%s)\n" % (routine.name, args)) + code_list = [ "".join(code_list) ] + + return code_list + + def _declare_arguments(self, routine): + return [] + + def _declare_globals(self, routine): + return [] + + def _declare_locals(self, routine): + return [] + + def _get_routine_ending(self, routine): + outs = [] + for result in routine.results: + if isinstance(result, Result): + # Note: name not result_var; want `y` not `y[i]` for Indexed + s = self._get_symbol(result.name) + else: + raise CodeGenError("unexpected object in Routine results") + outs.append(s) + return ["return " + ", ".join(outs) + "\nend\n"] + + def _call_printer(self, routine): + declarations = [] + code_lines = [] + for result in routine.results: + if isinstance(result, Result): + assign_to = result.result_var + else: + raise CodeGenError("unexpected object in Routine results") + + constants, not_supported, jl_expr = self._printer_method_with_settings( + 'doprint', {"human": False, "strict": False}, result.expr, assign_to=assign_to) + + for obj, v in sorted(constants, key=str): + declarations.append( + "%s = %s\n" % (obj, v)) + for obj in sorted(not_supported, key=str): + if isinstance(obj, Function): + name = obj.func + else: + name = obj + declarations.append( + "# unsupported: %s\n" % (name)) + code_lines.append("%s\n" % (jl_expr)) + return declarations + code_lines + + def _indent_code(self, codelines): + # Note that indenting seems to happen twice, first + # statement-by-statement by JuliaPrinter then again here. + p = JuliaCodePrinter({'human': False, "strict": False}) + return p.indent_code(codelines) + + def dump_jl(self, routines, f, prefix, header=True, empty=True): + self.dump_code(routines, f, prefix, header, empty) + + dump_jl.extension = code_extension # type: ignore + dump_jl.__doc__ = CodeGen.dump_code.__doc__ + + # This list of dump functions is used by CodeGen.write to know which dump + # functions it has to call. + dump_fns = [dump_jl] + + +class OctaveCodeGen(CodeGen): + """Generator for Octave code. + + The .write() method inherited from CodeGen will output a code file + .m. + + Octave .m files usually contain one function. That function name should + match the filename (``prefix``). If you pass multiple ``name_expr`` pairs, + the latter ones are presumed to be private functions accessed by the + primary function. + + You should only pass inputs to ``argument_sequence``: outputs are ordered + according to their order in ``name_expr``. + + """ + + code_extension = "m" + + def __init__(self, project='project', printer=None): + super().__init__(project) + self.printer = printer or OctaveCodePrinter() + + def routine(self, name, expr, argument_sequence, global_vars): + """Specialized Routine creation for Octave.""" + + # FIXME: this is probably general enough for other high-level + # languages, perhaps its the C/Fortran one that is specialized! + + if is_sequence(expr) and not isinstance(expr, (MatrixBase, MatrixExpr)): + if not expr: + raise ValueError("No expression given") + expressions = Tuple(*expr) + else: + expressions = Tuple(expr) + + # local variables + local_vars = {i.label for i in expressions.atoms(Idx)} + + # global variables + global_vars = set() if global_vars is None else set(global_vars) + + # symbols that should be arguments + old_symbols = expressions.free_symbols - local_vars - global_vars + symbols = set() + for s in old_symbols: + if isinstance(s, Idx): + symbols.update(s.args[1].free_symbols) + elif not isinstance(s, Indexed): + symbols.add(s) + + # Octave supports multiple return values + return_vals = [] + for (i, expr) in enumerate(expressions): + if isinstance(expr, Equality): + out_arg = expr.lhs + expr = expr.rhs + symbol = out_arg + if isinstance(out_arg, Indexed): + symbol = out_arg.base.label + if not isinstance(out_arg, (Indexed, Symbol, MatrixSymbol)): + raise CodeGenError("Only Indexed, Symbol, or MatrixSymbol " + "can define output arguments.") + + return_vals.append(Result(expr, name=symbol, result_var=out_arg)) + if not expr.has(symbol): + # this is a pure output: remove from the symbols list, so + # it doesn't become an input. + symbols.remove(symbol) + + else: + # we have no name for this output + return_vals.append(Result(expr, name='out%d' % (i+1))) + + # setup input argument list + arg_list = [] + array_symbols = {} + for array in expressions.atoms(Indexed): + array_symbols[array.base.label] = array + for array in expressions.atoms(MatrixSymbol): + array_symbols[array] = array + + for symbol in sorted(symbols, key=str): + arg_list.append(InputArgument(symbol)) + + if argument_sequence is not None: + # if the user has supplied IndexedBase instances, we'll accept that + new_sequence = [] + for arg in argument_sequence: + if isinstance(arg, IndexedBase): + new_sequence.append(arg.label) + else: + new_sequence.append(arg) + argument_sequence = new_sequence + + missing = [x for x in arg_list if x.name not in argument_sequence] + if missing: + msg = "Argument list didn't specify: {0} " + msg = msg.format(", ".join([str(m.name) for m in missing])) + raise CodeGenArgumentListError(msg, missing) + + # create redundant arguments to produce the requested sequence + name_arg_dict = {x.name: x for x in arg_list} + new_args = [] + for symbol in argument_sequence: + try: + new_args.append(name_arg_dict[symbol]) + except KeyError: + new_args.append(InputArgument(symbol)) + arg_list = new_args + + return Routine(name, arg_list, return_vals, local_vars, global_vars) + + def _get_header(self): + """Writes a common header for the generated files.""" + code_lines = [] + tmp = header_comment % {"version": sympy_version, + "project": self.project} + for line in tmp.splitlines(): + if line == '': + code_lines.append("%\n") + else: + code_lines.append("%% %s\n" % line) + return code_lines + + def _preprocessor_statements(self, prefix): + return [] + + def _get_routine_opening(self, routine): + """Returns the opening statements of the routine.""" + code_list = [] + code_list.append("function ") + + # Outputs + outs = [] + for result in routine.results: + if isinstance(result, Result): + # Note: name not result_var; want `y` not `y(i)` for Indexed + s = self._get_symbol(result.name) + else: + raise CodeGenError("unexpected object in Routine results") + outs.append(s) + if len(outs) > 1: + code_list.append("[" + (", ".join(outs)) + "]") + else: + code_list.append("".join(outs)) + code_list.append(" = ") + + # Inputs + args = [] + for arg in routine.arguments: + if isinstance(arg, (OutputArgument, InOutArgument)): + raise CodeGenError("Octave: invalid argument of type %s" % + str(type(arg))) + if isinstance(arg, InputArgument): + args.append("%s" % self._get_symbol(arg.name)) + args = ", ".join(args) + code_list.append("%s(%s)\n" % (routine.name, args)) + code_list = [ "".join(code_list) ] + + return code_list + + def _declare_arguments(self, routine): + return [] + + def _declare_globals(self, routine): + if not routine.global_vars: + return [] + s = " ".join(sorted([self._get_symbol(g) for g in routine.global_vars])) + return ["global " + s + "\n"] + + def _declare_locals(self, routine): + return [] + + def _get_routine_ending(self, routine): + return ["end\n"] + + def _call_printer(self, routine): + declarations = [] + code_lines = [] + for result in routine.results: + if isinstance(result, Result): + assign_to = result.result_var + else: + raise CodeGenError("unexpected object in Routine results") + + constants, not_supported, oct_expr = self._printer_method_with_settings( + 'doprint', {"human": False, "strict": False}, result.expr, assign_to=assign_to) + + for obj, v in sorted(constants, key=str): + declarations.append( + " %s = %s; %% constant\n" % (obj, v)) + for obj in sorted(not_supported, key=str): + if isinstance(obj, Function): + name = obj.func + else: + name = obj + declarations.append( + " %% unsupported: %s\n" % (name)) + code_lines.append("%s\n" % (oct_expr)) + return declarations + code_lines + + def _indent_code(self, codelines): + return self._printer_method_with_settings( + 'indent_code', {"human": False, "strict": False}, codelines) + + def dump_m(self, routines, f, prefix, header=True, empty=True, inline=True): + # Note used to call self.dump_code() but we need more control for header + + code_lines = self._preprocessor_statements(prefix) + + for i, routine in enumerate(routines): + if i > 0: + if empty: + code_lines.append("\n") + code_lines.extend(self._get_routine_opening(routine)) + if i == 0: + if routine.name != prefix: + raise ValueError('Octave function name should match prefix') + if header: + code_lines.append("%" + prefix.upper() + + " Autogenerated by SymPy\n") + code_lines.append(''.join(self._get_header())) + code_lines.extend(self._declare_arguments(routine)) + code_lines.extend(self._declare_globals(routine)) + code_lines.extend(self._declare_locals(routine)) + if empty: + code_lines.append("\n") + code_lines.extend(self._call_printer(routine)) + if empty: + code_lines.append("\n") + code_lines.extend(self._get_routine_ending(routine)) + + code_lines = self._indent_code(''.join(code_lines)) + + if code_lines: + f.write(code_lines) + + dump_m.extension = code_extension # type: ignore + dump_m.__doc__ = CodeGen.dump_code.__doc__ + + # This list of dump functions is used by CodeGen.write to know which dump + # functions it has to call. + dump_fns = [dump_m] + +class RustCodeGen(CodeGen): + """Generator for Rust code. + + The .write() method inherited from CodeGen will output a code file + .rs + + """ + + code_extension = "rs" + + def __init__(self, project="project", printer=None): + super().__init__(project=project) + self.printer = printer or RustCodePrinter() + + def routine(self, name, expr, argument_sequence, global_vars): + """Specialized Routine creation for Rust.""" + + if is_sequence(expr) and not isinstance(expr, (MatrixBase, MatrixExpr)): + if not expr: + raise ValueError("No expression given") + expressions = Tuple(*expr) + else: + expressions = Tuple(expr) + + # local variables + local_vars = {i.label for i in expressions.atoms(Idx)} + + # global variables + global_vars = set() if global_vars is None else set(global_vars) + + # symbols that should be arguments + symbols = expressions.free_symbols - local_vars - global_vars - expressions.atoms(Indexed) + + # Rust supports multiple return values + return_vals = [] + output_args = [] + for (i, expr) in enumerate(expressions): + if isinstance(expr, Equality): + out_arg = expr.lhs + expr = expr.rhs + symbol = out_arg + if isinstance(out_arg, Indexed): + dims = tuple([ (S.One, dim) for dim in out_arg.shape]) + symbol = out_arg.base.label + output_args.append(InOutArgument(symbol, out_arg, expr, dimensions=dims)) + if not isinstance(out_arg, (Indexed, Symbol, MatrixSymbol)): + raise CodeGenError("Only Indexed, Symbol, or MatrixSymbol " + "can define output arguments.") + + return_vals.append(Result(expr, name=symbol, result_var=out_arg)) + if not expr.has(symbol): + # this is a pure output: remove from the symbols list, so + # it doesn't become an input. + symbols.remove(symbol) + + else: + # we have no name for this output + return_vals.append(Result(expr, name='out%d' % (i+1))) + + # setup input argument list + output_args.sort(key=lambda x: str(x.name)) + arg_list = list(output_args) + array_symbols = {} + for array in expressions.atoms(Indexed): + array_symbols[array.base.label] = array + for array in expressions.atoms(MatrixSymbol): + array_symbols[array] = array + + for symbol in sorted(symbols, key=str): + arg_list.append(InputArgument(symbol)) + + if argument_sequence is not None: + # if the user has supplied IndexedBase instances, we'll accept that + new_sequence = [] + for arg in argument_sequence: + if isinstance(arg, IndexedBase): + new_sequence.append(arg.label) + else: + new_sequence.append(arg) + argument_sequence = new_sequence + + missing = [x for x in arg_list if x.name not in argument_sequence] + if missing: + msg = "Argument list didn't specify: {0} " + msg = msg.format(", ".join([str(m.name) for m in missing])) + raise CodeGenArgumentListError(msg, missing) + + # create redundant arguments to produce the requested sequence + name_arg_dict = {x.name: x for x in arg_list} + new_args = [] + for symbol in argument_sequence: + try: + new_args.append(name_arg_dict[symbol]) + except KeyError: + new_args.append(InputArgument(symbol)) + arg_list = new_args + + return Routine(name, arg_list, return_vals, local_vars, global_vars) + + + def _get_header(self): + """Writes a common header for the generated files.""" + code_lines = [] + code_lines.append("/*\n") + tmp = header_comment % {"version": sympy_version, + "project": self.project} + for line in tmp.splitlines(): + code_lines.append((" *%s" % line.center(76)).rstrip() + "\n") + code_lines.append(" */\n") + return code_lines + + def get_prototype(self, routine): + """Returns a string for the function prototype of the routine. + + If the routine has multiple result objects, an CodeGenError is + raised. + + See: https://en.wikipedia.org/wiki/Function_prototype + + """ + results = [i.get_datatype('Rust') for i in routine.results] + + if len(results) == 1: + rstype = " -> " + results[0] + elif len(routine.results) > 1: + rstype = " -> (" + ", ".join(results) + ")" + else: + rstype = "" + + type_args = [] + for arg in routine.arguments: + name = self.printer.doprint(arg.name) + if arg.dimensions or isinstance(arg, ResultBase): + type_args.append(("*%s" % name, arg.get_datatype('Rust'))) + else: + type_args.append((name, arg.get_datatype('Rust'))) + arguments = ", ".join([ "%s: %s" % t for t in type_args]) + return "fn %s(%s)%s" % (routine.name, arguments, rstype) + + def _preprocessor_statements(self, prefix): + code_lines = [] + # code_lines.append("use std::f64::consts::*;\n") + return code_lines + + def _get_routine_opening(self, routine): + prototype = self.get_prototype(routine) + return ["%s {\n" % prototype] + + def _declare_arguments(self, routine): + # arguments are declared in prototype + return [] + + def _declare_globals(self, routine): + # global variables are not explicitly declared within C functions + return [] + + def _declare_locals(self, routine): + # loop variables are declared in loop statement + return [] + + def _call_printer(self, routine): + + code_lines = [] + declarations = [] + returns = [] + + # Compose a list of symbols to be dereferenced in the function + # body. These are the arguments that were passed by a reference + # pointer, excluding arrays. + dereference = [] + for arg in routine.arguments: + if isinstance(arg, ResultBase) and not arg.dimensions: + dereference.append(arg.name) + + for result in routine.results: + if isinstance(result, Result): + assign_to = result.result_var + returns.append(str(result.result_var)) + else: + raise CodeGenError("unexpected object in Routine results") + + constants, not_supported, rs_expr = self._printer_method_with_settings( + 'doprint', {"human": False, "strict": False}, result.expr, assign_to=assign_to) + + for name, value in sorted(constants, key=str): + declarations.append("const %s: f64 = %s;\n" % (name, value)) + + for obj in sorted(not_supported, key=str): + if isinstance(obj, Function): + name = obj.func + else: + name = obj + declarations.append("// unsupported: %s\n" % (name)) + + code_lines.append("let %s\n" % rs_expr) + + if len(returns) > 1: + returns = ['(' + ', '.join(returns) + ')'] + + returns.append('\n') + + return declarations + code_lines + returns + + def _get_routine_ending(self, routine): + return ["}\n"] + + def dump_rs(self, routines, f, prefix, header=True, empty=True): + self.dump_code(routines, f, prefix, header, empty) + + dump_rs.extension = code_extension # type: ignore + dump_rs.__doc__ = CodeGen.dump_code.__doc__ + + # This list of dump functions is used by CodeGen.write to know which dump + # functions it has to call. + dump_fns = [dump_rs] + + + + +def get_code_generator(language, project=None, standard=None, printer = None): + if language == 'C': + if standard is None: + pass + elif standard.lower() == 'c89': + language = 'C89' + elif standard.lower() == 'c99': + language = 'C99' + CodeGenClass = {"C": CCodeGen, "C89": C89CodeGen, "C99": C99CodeGen, + "F95": FCodeGen, "JULIA": JuliaCodeGen, + "OCTAVE": OctaveCodeGen, + "RUST": RustCodeGen}.get(language.upper()) + if CodeGenClass is None: + raise ValueError("Language '%s' is not supported." % language) + return CodeGenClass(project, printer) + + +# +# Friendly functions +# + + +def codegen(name_expr, language=None, prefix=None, project="project", + to_files=False, header=True, empty=True, argument_sequence=None, + global_vars=None, standard=None, code_gen=None, printer=None): + """Generate source code for expressions in a given language. + + Parameters + ========== + + name_expr : tuple, or list of tuples + A single (name, expression) tuple or a list of (name, expression) + tuples. Each tuple corresponds to a routine. If the expression is + an equality (an instance of class Equality) the left hand side is + considered an output argument. If expression is an iterable, then + the routine will have multiple outputs. + + language : string, + A string that indicates the source code language. This is case + insensitive. Currently, 'C', 'F95' and 'Octave' are supported. + 'Octave' generates code compatible with both Octave and Matlab. + + prefix : string, optional + A prefix for the names of the files that contain the source code. + Language-dependent suffixes will be appended. If omitted, the name + of the first name_expr tuple is used. + + project : string, optional + A project name, used for making unique preprocessor instructions. + [default: "project"] + + to_files : bool, optional + When True, the code will be written to one or more files with the + given prefix, otherwise strings with the names and contents of + these files are returned. [default: False] + + header : bool, optional + When True, a header is written on top of each source file. + [default: True] + + empty : bool, optional + When True, empty lines are used to structure the code. + [default: True] + + argument_sequence : iterable, optional + Sequence of arguments for the routine in a preferred order. A + CodeGenError is raised if required arguments are missing. + Redundant arguments are used without warning. If omitted, + arguments will be ordered alphabetically, but with all input + arguments first, and then output or in-out arguments. + + global_vars : iterable, optional + Sequence of global variables used by the routine. Variables + listed here will not show up as function arguments. + + standard : string, optional + + code_gen : CodeGen instance, optional + An instance of a CodeGen subclass. Overrides ``language``. + + printer : Printer instance, optional + An instance of a Printer subclass. + + Examples + ======== + + >>> from sympy.utilities.codegen import codegen + >>> from sympy.abc import x, y, z + >>> [(c_name, c_code), (h_name, c_header)] = codegen( + ... ("f", x+y*z), "C89", "test", header=False, empty=False) + >>> print(c_name) + test.c + >>> print(c_code) + #include "test.h" + #include + double f(double x, double y, double z) { + double f_result; + f_result = x + y*z; + return f_result; + } + + >>> print(h_name) + test.h + >>> print(c_header) + #ifndef PROJECT__TEST__H + #define PROJECT__TEST__H + double f(double x, double y, double z); + #endif + + + Another example using Equality objects to give named outputs. Here the + filename (prefix) is taken from the first (name, expr) pair. + + >>> from sympy.abc import f, g + >>> from sympy import Eq + >>> [(c_name, c_code), (h_name, c_header)] = codegen( + ... [("myfcn", x + y), ("fcn2", [Eq(f, 2*x), Eq(g, y)])], + ... "C99", header=False, empty=False) + >>> print(c_name) + myfcn.c + >>> print(c_code) + #include "myfcn.h" + #include + double myfcn(double x, double y) { + double myfcn_result; + myfcn_result = x + y; + return myfcn_result; + } + void fcn2(double x, double y, double *f, double *g) { + (*f) = 2*x; + (*g) = y; + } + + + If the generated function(s) will be part of a larger project where various + global variables have been defined, the 'global_vars' option can be used + to remove the specified variables from the function signature + + >>> from sympy.utilities.codegen import codegen + >>> from sympy.abc import x, y, z + >>> [(f_name, f_code), header] = codegen( + ... ("f", x+y*z), "F95", header=False, empty=False, + ... argument_sequence=(x, y), global_vars=(z,)) + >>> print(f_code) + REAL*8 function f(x, y) + implicit none + REAL*8, intent(in) :: x + REAL*8, intent(in) :: y + f = x + y*z + end function + + + """ + + # Initialize the code generator. + if language is None: + if code_gen is None: + raise ValueError("Need either language or code_gen") + else: + if code_gen is not None: + raise ValueError("You cannot specify both language and code_gen.") + code_gen = get_code_generator(language, project, standard, printer) + + if isinstance(name_expr[0], str): + # single tuple is given, turn it into a singleton list with a tuple. + name_expr = [name_expr] + + if prefix is None: + prefix = name_expr[0][0] + + # Construct Routines appropriate for this code_gen from (name, expr) pairs. + routines = [] + for name, expr in name_expr: + routines.append(code_gen.routine(name, expr, argument_sequence, + global_vars)) + + # Write the code. + return code_gen.write(routines, prefix, to_files, header, empty) + + +def make_routine(name, expr, argument_sequence=None, + global_vars=None, language="F95"): + """A factory that makes an appropriate Routine from an expression. + + Parameters + ========== + + name : string + The name of this routine in the generated code. + + expr : expression or list/tuple of expressions + A SymPy expression that the Routine instance will represent. If + given a list or tuple of expressions, the routine will be + considered to have multiple return values and/or output arguments. + + argument_sequence : list or tuple, optional + List arguments for the routine in a preferred order. If omitted, + the results are language dependent, for example, alphabetical order + or in the same order as the given expressions. + + global_vars : iterable, optional + Sequence of global variables used by the routine. Variables + listed here will not show up as function arguments. + + language : string, optional + Specify a target language. The Routine itself should be + language-agnostic but the precise way one is created, error + checking, etc depend on the language. [default: "F95"]. + + Notes + ===== + + A decision about whether to use output arguments or return values is made + depending on both the language and the particular mathematical expressions. + For an expression of type Equality, the left hand side is typically made + into an OutputArgument (or perhaps an InOutArgument if appropriate). + Otherwise, typically, the calculated expression is made a return values of + the routine. + + Examples + ======== + + >>> from sympy.utilities.codegen import make_routine + >>> from sympy.abc import x, y, f, g + >>> from sympy import Eq + >>> r = make_routine('test', [Eq(f, 2*x), Eq(g, x + y)]) + >>> [arg.result_var for arg in r.results] + [] + >>> [arg.name for arg in r.arguments] + [x, y, f, g] + >>> [arg.name for arg in r.result_variables] + [f, g] + >>> r.local_vars + set() + + Another more complicated example with a mixture of specified and + automatically-assigned names. Also has Matrix output. + + >>> from sympy import Matrix + >>> r = make_routine('fcn', [x*y, Eq(f, 1), Eq(g, x + g), Matrix([[x, 2]])]) + >>> [arg.result_var for arg in r.results] # doctest: +SKIP + [result_5397460570204848505] + >>> [arg.expr for arg in r.results] + [x*y] + >>> [arg.name for arg in r.arguments] # doctest: +SKIP + [x, y, f, g, out_8598435338387848786] + + We can examine the various arguments more closely: + + >>> from sympy.utilities.codegen import (InputArgument, OutputArgument, + ... InOutArgument) + >>> [a.name for a in r.arguments if isinstance(a, InputArgument)] + [x, y] + + >>> [a.name for a in r.arguments if isinstance(a, OutputArgument)] # doctest: +SKIP + [f, out_8598435338387848786] + >>> [a.expr for a in r.arguments if isinstance(a, OutputArgument)] + [1, Matrix([[x, 2]])] + + >>> [a.name for a in r.arguments if isinstance(a, InOutArgument)] + [g] + >>> [a.expr for a in r.arguments if isinstance(a, InOutArgument)] + [g + x] + + """ + + # initialize a new code generator + code_gen = get_code_generator(language) + + return code_gen.routine(name, expr, argument_sequence, global_vars) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/decorator.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/decorator.py new file mode 100644 index 0000000000000000000000000000000000000000..82636c35e9f235a1d23aa7df5182418db3ef6b4f --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/decorator.py @@ -0,0 +1,339 @@ +"""Useful utility decorators. """ + +from typing import TypeVar +import sys +import types +import inspect +from functools import wraps, update_wrapper + +from sympy.utilities.exceptions import sympy_deprecation_warning + + +T = TypeVar('T') +"""A generic type""" + + +def threaded_factory(func, use_add): + """A factory for ``threaded`` decorators. """ + from sympy.core import sympify + from sympy.matrices import MatrixBase + from sympy.utilities.iterables import iterable + + @wraps(func) + def threaded_func(expr, *args, **kwargs): + if isinstance(expr, MatrixBase): + return expr.applyfunc(lambda f: func(f, *args, **kwargs)) + elif iterable(expr): + try: + return expr.__class__([func(f, *args, **kwargs) for f in expr]) + except TypeError: + return expr + else: + expr = sympify(expr) + + if use_add and expr.is_Add: + return expr.__class__(*[ func(f, *args, **kwargs) for f in expr.args ]) + elif expr.is_Relational: + return expr.__class__(func(expr.lhs, *args, **kwargs), + func(expr.rhs, *args, **kwargs)) + else: + return func(expr, *args, **kwargs) + + return threaded_func + + +def threaded(func): + """Apply ``func`` to sub--elements of an object, including :class:`~.Add`. + + This decorator is intended to make it uniformly possible to apply a + function to all elements of composite objects, e.g. matrices, lists, tuples + and other iterable containers, or just expressions. + + This version of :func:`threaded` decorator allows threading over + elements of :class:`~.Add` class. If this behavior is not desirable + use :func:`xthreaded` decorator. + + Functions using this decorator must have the following signature:: + + @threaded + def function(expr, *args, **kwargs): + + """ + return threaded_factory(func, True) + + +def xthreaded(func): + """Apply ``func`` to sub--elements of an object, excluding :class:`~.Add`. + + This decorator is intended to make it uniformly possible to apply a + function to all elements of composite objects, e.g. matrices, lists, tuples + and other iterable containers, or just expressions. + + This version of :func:`threaded` decorator disallows threading over + elements of :class:`~.Add` class. If this behavior is not desirable + use :func:`threaded` decorator. + + Functions using this decorator must have the following signature:: + + @xthreaded + def function(expr, *args, **kwargs): + + """ + return threaded_factory(func, False) + + +def conserve_mpmath_dps(func): + """After the function finishes, resets the value of ``mpmath.mp.dps`` to + the value it had before the function was run.""" + import mpmath + + def func_wrapper(*args, **kwargs): + dps = mpmath.mp.dps + try: + return func(*args, **kwargs) + finally: + mpmath.mp.dps = dps + + func_wrapper = update_wrapper(func_wrapper, func) + return func_wrapper + + +class no_attrs_in_subclass: + """Don't 'inherit' certain attributes from a base class + + >>> from sympy.utilities.decorator import no_attrs_in_subclass + + >>> class A(object): + ... x = 'test' + + >>> A.x = no_attrs_in_subclass(A, A.x) + + >>> class B(A): + ... pass + + >>> hasattr(A, 'x') + True + >>> hasattr(B, 'x') + False + + """ + def __init__(self, cls, f): + self.cls = cls + self.f = f + + def __get__(self, instance, owner=None): + if owner == self.cls: + if hasattr(self.f, '__get__'): + return self.f.__get__(instance, owner) + return self.f + raise AttributeError + + +def doctest_depends_on(exe=None, modules=None, disable_viewers=None, + python_version=None, ground_types=None): + """ + Adds metadata about the dependencies which need to be met for doctesting + the docstrings of the decorated objects. + + ``exe`` should be a list of executables + + ``modules`` should be a list of modules + + ``disable_viewers`` should be a list of viewers for :func:`~sympy.printing.preview.preview` to disable + + ``python_version`` should be the minimum Python version required, as a tuple + (like ``(3, 0)``) + """ + dependencies = {} + if exe is not None: + dependencies['executables'] = exe + if modules is not None: + dependencies['modules'] = modules + if disable_viewers is not None: + dependencies['disable_viewers'] = disable_viewers + if python_version is not None: + dependencies['python_version'] = python_version + if ground_types is not None: + dependencies['ground_types'] = ground_types + + def skiptests(): + from sympy.testing.runtests import DependencyError, SymPyDocTests, PyTestReporter # lazy import + r = PyTestReporter() + t = SymPyDocTests(r, None) + try: + t._check_dependencies(**dependencies) + except DependencyError: + return True # Skip doctests + else: + return False # Run doctests + + def depends_on_deco(fn): + fn._doctest_depends_on = dependencies + fn.__doctest_skip__ = skiptests + + if inspect.isclass(fn): + fn._doctest_depdends_on = no_attrs_in_subclass( + fn, fn._doctest_depends_on) + fn.__doctest_skip__ = no_attrs_in_subclass( + fn, fn.__doctest_skip__) + return fn + + return depends_on_deco + + +def public(obj: T) -> T: + """ + Append ``obj``'s name to global ``__all__`` variable (call site). + + By using this decorator on functions or classes you achieve the same goal + as by filling ``__all__`` variables manually, you just do not have to repeat + yourself (object's name). You also know if object is public at definition + site, not at some random location (where ``__all__`` was set). + + Note that in multiple decorator setup (in almost all cases) ``@public`` + decorator must be applied before any other decorators, because it relies + on the pointer to object's global namespace. If you apply other decorators + first, ``@public`` may end up modifying the wrong namespace. + + Examples + ======== + + >>> from sympy.utilities.decorator import public + + >>> __all__ # noqa: F821 + Traceback (most recent call last): + ... + NameError: name '__all__' is not defined + + >>> @public + ... def some_function(): + ... pass + + >>> __all__ # noqa: F821 + ['some_function'] + + """ + if isinstance(obj, types.FunctionType): + ns = obj.__globals__ + name = obj.__name__ + elif isinstance(obj, (type(type), type)): + ns = sys.modules[obj.__module__].__dict__ + name = obj.__name__ + else: + raise TypeError("expected a function or a class, got %s" % obj) + + if "__all__" not in ns: + ns["__all__"] = [name] + else: + ns["__all__"].append(name) + + return obj + + +def memoize_property(propfunc): + """Property decorator that caches the value of potentially expensive + ``propfunc`` after the first evaluation. The cached value is stored in + the corresponding property name with an attached underscore.""" + attrname = '_' + propfunc.__name__ + sentinel = object() + + @wraps(propfunc) + def accessor(self): + val = getattr(self, attrname, sentinel) + if val is sentinel: + val = propfunc(self) + setattr(self, attrname, val) + return val + + return property(accessor) + + +def deprecated(message, *, deprecated_since_version, + active_deprecations_target, stacklevel=3): + ''' + Mark a function as deprecated. + + This decorator should be used if an entire function or class is + deprecated. If only a certain functionality is deprecated, you should use + :func:`~.warns_deprecated_sympy` directly. This decorator is just a + convenience. There is no functional difference between using this + decorator and calling ``warns_deprecated_sympy()`` at the top of the + function. + + The decorator takes the same arguments as + :func:`~.warns_deprecated_sympy`. See its + documentation for details on what the keywords to this decorator do. + + See the :ref:`deprecation-policy` document for details on when and how + things should be deprecated in SymPy. + + Examples + ======== + + >>> from sympy.utilities.decorator import deprecated + >>> from sympy import simplify + >>> @deprecated("""\ + ... The simplify_this(expr) function is deprecated. Use simplify(expr) + ... instead.""", deprecated_since_version="1.1", + ... active_deprecations_target='simplify-this-deprecation') + ... def simplify_this(expr): + ... """ + ... Simplify ``expr``. + ... + ... .. deprecated:: 1.1 + ... + ... The ``simplify_this`` function is deprecated. Use :func:`simplify` + ... instead. See its documentation for more information. See + ... :ref:`simplify-this-deprecation` for details. + ... + ... """ + ... return simplify(expr) + >>> from sympy.abc import x + >>> simplify_this(x*(x + 1) - x**2) # doctest: +SKIP + :1: SymPyDeprecationWarning: + + The simplify_this(expr) function is deprecated. Use simplify(expr) + instead. + + See https://docs.sympy.org/latest/explanation/active-deprecations.html#simplify-this-deprecation + for details. + + This has been deprecated since SymPy version 1.1. It + will be removed in a future version of SymPy. + + simplify_this(x) + x + + See Also + ======== + sympy.utilities.exceptions.SymPyDeprecationWarning + sympy.utilities.exceptions.sympy_deprecation_warning + sympy.utilities.exceptions.ignore_warnings + sympy.testing.pytest.warns_deprecated_sympy + + ''' + decorator_kwargs = {"deprecated_since_version": deprecated_since_version, + "active_deprecations_target": active_deprecations_target} + def deprecated_decorator(wrapped): + if hasattr(wrapped, '__mro__'): # wrapped is actually a class + class wrapper(wrapped): + __doc__ = wrapped.__doc__ + __module__ = wrapped.__module__ + _sympy_deprecated_func = wrapped + if '__new__' in wrapped.__dict__: + def __new__(cls, *args, **kwargs): + sympy_deprecation_warning(message, **decorator_kwargs, stacklevel=stacklevel) + return super().__new__(cls, *args, **kwargs) + else: + def __init__(self, *args, **kwargs): + sympy_deprecation_warning(message, **decorator_kwargs, stacklevel=stacklevel) + super().__init__(*args, **kwargs) + wrapper.__name__ = wrapped.__name__ + else: + @wraps(wrapped) + def wrapper(*args, **kwargs): + sympy_deprecation_warning(message, **decorator_kwargs, stacklevel=stacklevel) + return wrapped(*args, **kwargs) + wrapper._sympy_deprecated_func = wrapped + return wrapper + return deprecated_decorator diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/enumerative.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/enumerative.py new file mode 100644 index 0000000000000000000000000000000000000000..dcdabf064ad6291282b5905e7aed0ba9eb412d1a --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/enumerative.py @@ -0,0 +1,1155 @@ +""" +Algorithms and classes to support enumerative combinatorics. + +Currently just multiset partitions, but more could be added. + +Terminology (following Knuth, algorithm 7.1.2.5M TAOCP) +*multiset* aaabbcccc has a *partition* aaabc | bccc + +The submultisets, aaabc and bccc of the partition are called +*parts*, or sometimes *vectors*. (Knuth notes that multiset +partitions can be thought of as partitions of vectors of integers, +where the ith element of the vector gives the multiplicity of +element i.) + +The values a, b and c are *components* of the multiset. These +correspond to elements of a set, but in a multiset can be present +with a multiplicity greater than 1. + +The algorithm deserves some explanation. + +Think of the part aaabc from the multiset above. If we impose an +ordering on the components of the multiset, we can represent a part +with a vector, in which the value of the first element of the vector +corresponds to the multiplicity of the first component in that +part. Thus, aaabc can be represented by the vector [3, 1, 1]. We +can also define an ordering on parts, based on the lexicographic +ordering of the vector (leftmost vector element, i.e., the element +with the smallest component number, is the most significant), so +that [3, 1, 1] > [3, 1, 0] and [3, 1, 1] > [2, 1, 4]. The ordering +on parts can be extended to an ordering on partitions: First, sort +the parts in each partition, left-to-right in decreasing order. Then +partition A is greater than partition B if A's leftmost/greatest +part is greater than B's leftmost part. If the leftmost parts are +equal, compare the second parts, and so on. + +In this ordering, the greatest partition of a given multiset has only +one part. The least partition is the one in which the components +are spread out, one per part. + +The enumeration algorithms in this file yield the partitions of the +argument multiset in decreasing order. The main data structure is a +stack of parts, corresponding to the current partition. An +important invariant is that the parts on the stack are themselves in +decreasing order. This data structure is decremented to find the +next smaller partition. Most often, decrementing the partition will +only involve adjustments to the smallest parts at the top of the +stack, much as adjacent integers *usually* differ only in their last +few digits. + +Knuth's algorithm uses two main operations on parts: + +Decrement - change the part so that it is smaller in the + (vector) lexicographic order, but reduced by the smallest amount possible. + For example, if the multiset has vector [5, + 3, 1], and the bottom/greatest part is [4, 2, 1], this part would + decrement to [4, 2, 0], while [4, 0, 0] would decrement to [3, 3, + 1]. A singleton part is never decremented -- [1, 0, 0] is not + decremented to [0, 3, 1]. Instead, the decrement operator needs + to fail for this case. In Knuth's pseudocode, the decrement + operator is step m5. + +Spread unallocated multiplicity - Once a part has been decremented, + it cannot be the rightmost part in the partition. There is some + multiplicity that has not been allocated, and new parts must be + created above it in the stack to use up this multiplicity. To + maintain the invariant that the parts on the stack are in + decreasing order, these new parts must be less than or equal to + the decremented part. + For example, if the multiset is [5, 3, 1], and its most + significant part has just been decremented to [5, 3, 0], the + spread operation will add a new part so that the stack becomes + [[5, 3, 0], [0, 0, 1]]. If the most significant part (for the + same multiset) has been decremented to [2, 0, 0] the stack becomes + [[2, 0, 0], [2, 0, 0], [1, 3, 1]]. In the pseudocode, the spread + operation for one part is step m2. The complete spread operation + is a loop of steps m2 and m3. + +In order to facilitate the spread operation, Knuth stores, for each +component of each part, not just the multiplicity of that component +in the part, but also the total multiplicity available for this +component in this part or any lesser part above it on the stack. + +One added twist is that Knuth does not represent the part vectors as +arrays. Instead, he uses a sparse representation, in which a +component of a part is represented as a component number (c), plus +the multiplicity of the component in that part (v) as well as the +total multiplicity available for that component (u). This saves +time that would be spent skipping over zeros. + +""" + +class PartComponent: + """Internal class used in support of the multiset partitions + enumerators and the associated visitor functions. + + Represents one component of one part of the current partition. + + A stack of these, plus an auxiliary frame array, f, represents a + partition of the multiset. + + Knuth's pseudocode makes c, u, and v separate arrays. + """ + + __slots__ = ('c', 'u', 'v') + + def __init__(self): + self.c = 0 # Component number + self.u = 0 # The as yet unpartitioned amount in component c + # *before* it is allocated by this triple + self.v = 0 # Amount of c component in the current part + # (v<=u). An invariant of the representation is + # that the next higher triple for this component + # (if there is one) will have a value of u-v in + # its u attribute. + + def __repr__(self): + "for debug/algorithm animation purposes" + return 'c:%d u:%d v:%d' % (self.c, self.u, self.v) + + def __eq__(self, other): + """Define value oriented equality, which is useful for testers""" + return (isinstance(other, self.__class__) and + self.c == other.c and + self.u == other.u and + self.v == other.v) + + def __ne__(self, other): + """Defined for consistency with __eq__""" + return not self == other + + +# This function tries to be a faithful implementation of algorithm +# 7.1.2.5M in Volume 4A, Combinatoral Algorithms, Part 1, of The Art +# of Computer Programming, by Donald Knuth. This includes using +# (mostly) the same variable names, etc. This makes for rather +# low-level Python. + +# Changes from Knuth's pseudocode include +# - use PartComponent struct/object instead of 3 arrays +# - make the function a generator +# - map (with some difficulty) the GOTOs to Python control structures. +# - Knuth uses 1-based numbering for components, this code is 0-based +# - renamed variable l to lpart. +# - flag variable x takes on values True/False instead of 1/0 +# +def multiset_partitions_taocp(multiplicities): + """Enumerates partitions of a multiset. + + Parameters + ========== + + multiplicities + list of integer multiplicities of the components of the multiset. + + Yields + ====== + + state + Internal data structure which encodes a particular partition. + This output is then usually processed by a visitor function + which combines the information from this data structure with + the components themselves to produce an actual partition. + + Unless they wish to create their own visitor function, users will + have little need to look inside this data structure. But, for + reference, it is a 3-element list with components: + + f + is a frame array, which is used to divide pstack into parts. + + lpart + points to the base of the topmost part. + + pstack + is an array of PartComponent objects. + + The ``state`` output offers a peek into the internal data + structures of the enumeration function. The client should + treat this as read-only; any modification of the data + structure will cause unpredictable (and almost certainly + incorrect) results. Also, the components of ``state`` are + modified in place at each iteration. Hence, the visitor must + be called at each loop iteration. Accumulating the ``state`` + instances and processing them later will not work. + + Examples + ======== + + >>> from sympy.utilities.enumerative import list_visitor + >>> from sympy.utilities.enumerative import multiset_partitions_taocp + >>> # variables components and multiplicities represent the multiset 'abb' + >>> components = 'ab' + >>> multiplicities = [1, 2] + >>> states = multiset_partitions_taocp(multiplicities) + >>> list(list_visitor(state, components) for state in states) + [[['a', 'b', 'b']], + [['a', 'b'], ['b']], + [['a'], ['b', 'b']], + [['a'], ['b'], ['b']]] + + See Also + ======== + + sympy.utilities.iterables.multiset_partitions: Takes a multiset + as input and directly yields multiset partitions. It + dispatches to a number of functions, including this one, for + implementation. Most users will find it more convenient to + use than multiset_partitions_taocp. + + """ + + # Important variables. + # m is the number of components, i.e., number of distinct elements + m = len(multiplicities) + # n is the cardinality, total number of elements whether or not distinct + n = sum(multiplicities) + + # The main data structure, f segments pstack into parts. See + # list_visitor() for example code indicating how this internal + # state corresponds to a partition. + + # Note: allocation of space for stack is conservative. Knuth's + # exercise 7.2.1.5.68 gives some indication of how to tighten this + # bound, but this is not implemented. + pstack = [PartComponent() for i in range(n * m + 1)] + f = [0] * (n + 1) + + # Step M1 in Knuth (Initialize) + # Initial state - entire multiset in one part. + for j in range(m): + ps = pstack[j] + ps.c = j + ps.u = multiplicities[j] + ps.v = multiplicities[j] + + # Other variables + f[0] = 0 + a = 0 + lpart = 0 + f[1] = m + b = m # in general, current stack frame is from a to b - 1 + + while True: + while True: + # Step M2 (Subtract v from u) + k = b + x = False + for j in range(a, b): + pstack[k].u = pstack[j].u - pstack[j].v + if pstack[k].u == 0: + x = True + elif not x: + pstack[k].c = pstack[j].c + pstack[k].v = min(pstack[j].v, pstack[k].u) + x = pstack[k].u < pstack[j].v + k = k + 1 + else: # x is True + pstack[k].c = pstack[j].c + pstack[k].v = pstack[k].u + k = k + 1 + # Note: x is True iff v has changed + + # Step M3 (Push if nonzero.) + if k > b: + a = b + b = k + lpart = lpart + 1 + f[lpart + 1] = b + # Return to M2 + else: + break # Continue to M4 + + # M4 Visit a partition + state = [f, lpart, pstack] + yield state + + # M5 (Decrease v) + while True: + j = b-1 + while (pstack[j].v == 0): + j = j - 1 + if j == a and pstack[j].v == 1: + # M6 (Backtrack) + if lpart == 0: + return + lpart = lpart - 1 + b = a + a = f[lpart] + # Return to M5 + else: + pstack[j].v = pstack[j].v - 1 + for k in range(j + 1, b): + pstack[k].v = pstack[k].u + break # GOTO M2 + +# --------------- Visitor functions for multiset partitions --------------- +# A visitor takes the partition state generated by +# multiset_partitions_taocp or other enumerator, and produces useful +# output (such as the actual partition). + + +def factoring_visitor(state, primes): + """Use with multiset_partitions_taocp to enumerate the ways a + number can be expressed as a product of factors. For this usage, + the exponents of the prime factors of a number are arguments to + the partition enumerator, while the corresponding prime factors + are input here. + + Examples + ======== + + To enumerate the factorings of a number we can think of the elements of the + partition as being the prime factors and the multiplicities as being their + exponents. + + >>> from sympy.utilities.enumerative import factoring_visitor + >>> from sympy.utilities.enumerative import multiset_partitions_taocp + >>> from sympy import factorint + >>> primes, multiplicities = zip(*factorint(24).items()) + >>> primes + (2, 3) + >>> multiplicities + (3, 1) + >>> states = multiset_partitions_taocp(multiplicities) + >>> list(factoring_visitor(state, primes) for state in states) + [[24], [8, 3], [12, 2], [4, 6], [4, 2, 3], [6, 2, 2], [2, 2, 2, 3]] + """ + f, lpart, pstack = state + factoring = [] + for i in range(lpart + 1): + factor = 1 + for ps in pstack[f[i]: f[i + 1]]: + if ps.v > 0: + factor *= primes[ps.c] ** ps.v + factoring.append(factor) + return factoring + + +def list_visitor(state, components): + """Return a list of lists to represent the partition. + + Examples + ======== + + >>> from sympy.utilities.enumerative import list_visitor + >>> from sympy.utilities.enumerative import multiset_partitions_taocp + >>> states = multiset_partitions_taocp([1, 2, 1]) + >>> s = next(states) + >>> list_visitor(s, 'abc') # for multiset 'a b b c' + [['a', 'b', 'b', 'c']] + >>> s = next(states) + >>> list_visitor(s, [1, 2, 3]) # for multiset '1 2 2 3 + [[1, 2, 2], [3]] + """ + f, lpart, pstack = state + + partition = [] + for i in range(lpart+1): + part = [] + for ps in pstack[f[i]:f[i+1]]: + if ps.v > 0: + part.extend([components[ps.c]] * ps.v) + partition.append(part) + + return partition + + +class MultisetPartitionTraverser(): + """ + Has methods to ``enumerate`` and ``count`` the partitions of a multiset. + + This implements a refactored and extended version of Knuth's algorithm + 7.1.2.5M [AOCP]_." + + The enumeration methods of this class are generators and return + data structures which can be interpreted by the same visitor + functions used for the output of ``multiset_partitions_taocp``. + + Examples + ======== + + >>> from sympy.utilities.enumerative import MultisetPartitionTraverser + >>> m = MultisetPartitionTraverser() + >>> m.count_partitions([4,4,4,2]) + 127750 + >>> m.count_partitions([3,3,3]) + 686 + + See Also + ======== + + multiset_partitions_taocp + sympy.utilities.iterables.multiset_partitions + + References + ========== + + .. [AOCP] Algorithm 7.1.2.5M in Volume 4A, Combinatoral Algorithms, + Part 1, of The Art of Computer Programming, by Donald Knuth. + + .. [Factorisatio] On a Problem of Oppenheim concerning + "Factorisatio Numerorum" E. R. Canfield, Paul Erdos, Carl + Pomerance, JOURNAL OF NUMBER THEORY, Vol. 17, No. 1. August + 1983. See section 7 for a description of an algorithm + similar to Knuth's. + + .. [Yorgey] Generating Multiset Partitions, Brent Yorgey, The + Monad.Reader, Issue 8, September 2007. + + """ + + def __init__(self): + self.debug = False + # TRACING variables. These are useful for gathering + # statistics on the algorithm itself, but have no particular + # benefit to a user of the code. + self.k1 = 0 + self.k2 = 0 + self.p1 = 0 + self.pstack = None + self.f = None + self.lpart = 0 + self.discarded = 0 + # dp_stack is list of lists of (part_key, start_count) pairs + self.dp_stack = [] + + # dp_map is map part_key-> count, where count represents the + # number of multiset which are descendants of a part with this + # key, **or any of its decrements** + + # Thus, when we find a part in the map, we add its count + # value to the running total, cut off the enumeration, and + # backtrack + + if not hasattr(self, 'dp_map'): + self.dp_map = {} + + def db_trace(self, msg): + """Useful for understanding/debugging the algorithms. Not + generally activated in end-user code.""" + if self.debug: + # XXX: animation_visitor is undefined... Clearly this does not + # work and was not tested. Previous code in comments below. + raise RuntimeError + #letters = 'abcdefghijklmnopqrstuvwxyz' + #state = [self.f, self.lpart, self.pstack] + #print("DBG:", msg, + # ["".join(part) for part in list_visitor(state, letters)], + # animation_visitor(state)) + + # + # Helper methods for enumeration + # + def _initialize_enumeration(self, multiplicities): + """Allocates and initializes the partition stack. + + This is called from the enumeration/counting routines, so + there is no need to call it separately.""" + + num_components = len(multiplicities) + # cardinality is the total number of elements, whether or not distinct + cardinality = sum(multiplicities) + + # pstack is the partition stack, which is segmented by + # f into parts. + self.pstack = [PartComponent() for i in + range(num_components * cardinality + 1)] + self.f = [0] * (cardinality + 1) + + # Initial state - entire multiset in one part. + for j in range(num_components): + ps = self.pstack[j] + ps.c = j + ps.u = multiplicities[j] + ps.v = multiplicities[j] + + self.f[0] = 0 + self.f[1] = num_components + self.lpart = 0 + + # The decrement_part() method corresponds to step M5 in Knuth's + # algorithm. This is the base version for enum_all(). Modified + # versions of this method are needed if we want to restrict + # sizes of the partitions produced. + def decrement_part(self, part): + """Decrements part (a subrange of pstack), if possible, returning + True iff the part was successfully decremented. + + If you think of the v values in the part as a multi-digit + integer (least significant digit on the right) this is + basically decrementing that integer, but with the extra + constraint that the leftmost digit cannot be decremented to 0. + + Parameters + ========== + + part + The part, represented as a list of PartComponent objects, + which is to be decremented. + + """ + plen = len(part) + for j in range(plen - 1, -1, -1): + if j == 0 and part[j].v > 1 or j > 0 and part[j].v > 0: + # found val to decrement + part[j].v -= 1 + # Reset trailing parts back to maximum + for k in range(j + 1, plen): + part[k].v = part[k].u + return True + return False + + # Version to allow number of parts to be bounded from above. + # Corresponds to (a modified) step M5. + def decrement_part_small(self, part, ub): + """Decrements part (a subrange of pstack), if possible, returning + True iff the part was successfully decremented. + + Parameters + ========== + + part + part to be decremented (topmost part on the stack) + + ub + the maximum number of parts allowed in a partition + returned by the calling traversal. + + Notes + ===== + + The goal of this modification of the ordinary decrement method + is to fail (meaning that the subtree rooted at this part is to + be skipped) when it can be proved that this part can only have + child partitions which are larger than allowed by ``ub``. If a + decision is made to fail, it must be accurate, otherwise the + enumeration will miss some partitions. But, it is OK not to + capture all the possible failures -- if a part is passed that + should not be, the resulting too-large partitions are filtered + by the enumeration one level up. However, as is usual in + constrained enumerations, failing early is advantageous. + + The tests used by this method catch the most common cases, + although this implementation is by no means the last word on + this problem. The tests include: + + 1) ``lpart`` must be less than ``ub`` by at least 2. This is because + once a part has been decremented, the partition + will gain at least one child in the spread step. + + 2) If the leading component of the part is about to be + decremented, check for how many parts will be added in + order to use up the unallocated multiplicity in that + leading component, and fail if this number is greater than + allowed by ``ub``. (See code for the exact expression.) This + test is given in the answer to Knuth's problem 7.2.1.5.69. + + 3) If there is *exactly* enough room to expand the leading + component by the above test, check the next component (if + it exists) once decrementing has finished. If this has + ``v == 0``, this next component will push the expansion over the + limit by 1, so fail. + """ + if self.lpart >= ub - 1: + self.p1 += 1 # increment to keep track of usefulness of tests + return False + plen = len(part) + for j in range(plen - 1, -1, -1): + # Knuth's mod, (answer to problem 7.2.1.5.69) + if j == 0 and (part[0].v - 1)*(ub - self.lpart) < part[0].u: + self.k1 += 1 + return False + + if j == 0 and part[j].v > 1 or j > 0 and part[j].v > 0: + # found val to decrement + part[j].v -= 1 + # Reset trailing parts back to maximum + for k in range(j + 1, plen): + part[k].v = part[k].u + + # Have now decremented part, but are we doomed to + # failure when it is expanded? Check one oddball case + # that turns out to be surprisingly common - exactly + # enough room to expand the leading component, but no + # room for the second component, which has v=0. + if (plen > 1 and part[1].v == 0 and + (part[0].u - part[0].v) == + ((ub - self.lpart - 1) * part[0].v)): + self.k2 += 1 + self.db_trace("Decrement fails test 3") + return False + return True + return False + + def decrement_part_large(self, part, amt, lb): + """Decrements part, while respecting size constraint. + + A part can have no children which are of sufficient size (as + indicated by ``lb``) unless that part has sufficient + unallocated multiplicity. When enforcing the size constraint, + this method will decrement the part (if necessary) by an + amount needed to ensure sufficient unallocated multiplicity. + + Returns True iff the part was successfully decremented. + + Parameters + ========== + + part + part to be decremented (topmost part on the stack) + + amt + Can only take values 0 or 1. A value of 1 means that the + part must be decremented, and then the size constraint is + enforced. A value of 0 means just to enforce the ``lb`` + size constraint. + + lb + The partitions produced by the calling enumeration must + have more parts than this value. + + """ + + if amt == 1: + # In this case we always need to decrement, *before* + # enforcing the "sufficient unallocated multiplicity" + # constraint. Easiest for this is just to call the + # regular decrement method. + if not self.decrement_part(part): + return False + + # Next, perform any needed additional decrementing to respect + # "sufficient unallocated multiplicity" (or fail if this is + # not possible). + min_unalloc = lb - self.lpart + if min_unalloc <= 0: + return True + total_mult = sum(pc.u for pc in part) + total_alloc = sum(pc.v for pc in part) + if total_mult <= min_unalloc: + return False + + deficit = min_unalloc - (total_mult - total_alloc) + if deficit <= 0: + return True + + for i in range(len(part) - 1, -1, -1): + if i == 0: + if part[0].v > deficit: + part[0].v -= deficit + return True + else: + return False # This shouldn't happen, due to above check + else: + if part[i].v >= deficit: + part[i].v -= deficit + return True + else: + deficit -= part[i].v + part[i].v = 0 + + def decrement_part_range(self, part, lb, ub): + """Decrements part (a subrange of pstack), if possible, returning + True iff the part was successfully decremented. + + Parameters + ========== + + part + part to be decremented (topmost part on the stack) + + ub + the maximum number of parts allowed in a partition + returned by the calling traversal. + + lb + The partitions produced by the calling enumeration must + have more parts than this value. + + Notes + ===== + + Combines the constraints of _small and _large decrement + methods. If returns success, part has been decremented at + least once, but perhaps by quite a bit more if needed to meet + the lb constraint. + """ + + # Constraint in the range case is just enforcing both the + # constraints from _small and _large cases. Note the 0 as the + # second argument to the _large call -- this is the signal to + # decrement only as needed to for constraint enforcement. The + # short circuiting and left-to-right order of the 'and' + # operator is important for this to work correctly. + return self.decrement_part_small(part, ub) and \ + self.decrement_part_large(part, 0, lb) + + def spread_part_multiplicity(self): + """Returns True if a new part has been created, and + adjusts pstack, f and lpart as needed. + + Notes + ===== + + Spreads unallocated multiplicity from the current top part + into a new part created above the current on the stack. This + new part is constrained to be less than or equal to the old in + terms of the part ordering. + + This call does nothing (and returns False) if the current top + part has no unallocated multiplicity. + + """ + j = self.f[self.lpart] # base of current top part + k = self.f[self.lpart + 1] # ub of current; potential base of next + base = k # save for later comparison + + changed = False # Set to true when the new part (so far) is + # strictly less than (as opposed to less than + # or equal) to the old. + for j in range(self.f[self.lpart], self.f[self.lpart + 1]): + self.pstack[k].u = self.pstack[j].u - self.pstack[j].v + if self.pstack[k].u == 0: + changed = True + else: + self.pstack[k].c = self.pstack[j].c + if changed: # Put all available multiplicity in this part + self.pstack[k].v = self.pstack[k].u + else: # Still maintaining ordering constraint + if self.pstack[k].u < self.pstack[j].v: + self.pstack[k].v = self.pstack[k].u + changed = True + else: + self.pstack[k].v = self.pstack[j].v + k = k + 1 + if k > base: + # Adjust for the new part on stack + self.lpart = self.lpart + 1 + self.f[self.lpart + 1] = k + return True + return False + + def top_part(self): + """Return current top part on the stack, as a slice of pstack. + + """ + return self.pstack[self.f[self.lpart]:self.f[self.lpart + 1]] + + # Same interface and functionality as multiset_partitions_taocp(), + # but some might find this refactored version easier to follow. + def enum_all(self, multiplicities): + """Enumerate the partitions of a multiset. + + Examples + ======== + + >>> from sympy.utilities.enumerative import list_visitor + >>> from sympy.utilities.enumerative import MultisetPartitionTraverser + >>> m = MultisetPartitionTraverser() + >>> states = m.enum_all([2,2]) + >>> list(list_visitor(state, 'ab') for state in states) + [[['a', 'a', 'b', 'b']], + [['a', 'a', 'b'], ['b']], + [['a', 'a'], ['b', 'b']], + [['a', 'a'], ['b'], ['b']], + [['a', 'b', 'b'], ['a']], + [['a', 'b'], ['a', 'b']], + [['a', 'b'], ['a'], ['b']], + [['a'], ['a'], ['b', 'b']], + [['a'], ['a'], ['b'], ['b']]] + + See Also + ======== + + multiset_partitions_taocp: + which provides the same result as this method, but is + about twice as fast. Hence, enum_all is primarily useful + for testing. Also see the function for a discussion of + states and visitors. + + """ + self._initialize_enumeration(multiplicities) + while True: + while self.spread_part_multiplicity(): + pass + + # M4 Visit a partition + state = [self.f, self.lpart, self.pstack] + yield state + + # M5 (Decrease v) + while not self.decrement_part(self.top_part()): + # M6 (Backtrack) + if self.lpart == 0: + return + self.lpart -= 1 + + def enum_small(self, multiplicities, ub): + """Enumerate multiset partitions with no more than ``ub`` parts. + + Equivalent to enum_range(multiplicities, 0, ub) + + Parameters + ========== + + multiplicities + list of multiplicities of the components of the multiset. + + ub + Maximum number of parts + + Examples + ======== + + >>> from sympy.utilities.enumerative import list_visitor + >>> from sympy.utilities.enumerative import MultisetPartitionTraverser + >>> m = MultisetPartitionTraverser() + >>> states = m.enum_small([2,2], 2) + >>> list(list_visitor(state, 'ab') for state in states) + [[['a', 'a', 'b', 'b']], + [['a', 'a', 'b'], ['b']], + [['a', 'a'], ['b', 'b']], + [['a', 'b', 'b'], ['a']], + [['a', 'b'], ['a', 'b']]] + + The implementation is based, in part, on the answer given to + exercise 69, in Knuth [AOCP]_. + + See Also + ======== + + enum_all, enum_large, enum_range + + """ + + # Keep track of iterations which do not yield a partition. + # Clearly, we would like to keep this number small. + self.discarded = 0 + if ub <= 0: + return + self._initialize_enumeration(multiplicities) + while True: + while self.spread_part_multiplicity(): + self.db_trace('spread 1') + if self.lpart >= ub: + self.discarded += 1 + self.db_trace(' Discarding') + self.lpart = ub - 2 + break + else: + # M4 Visit a partition + state = [self.f, self.lpart, self.pstack] + yield state + + # M5 (Decrease v) + while not self.decrement_part_small(self.top_part(), ub): + self.db_trace("Failed decrement, going to backtrack") + # M6 (Backtrack) + if self.lpart == 0: + return + self.lpart -= 1 + self.db_trace("Backtracked to") + self.db_trace("decrement ok, about to expand") + + def enum_large(self, multiplicities, lb): + """Enumerate the partitions of a multiset with lb < num(parts) + + Equivalent to enum_range(multiplicities, lb, sum(multiplicities)) + + Parameters + ========== + + multiplicities + list of multiplicities of the components of the multiset. + + lb + Number of parts in the partition must be greater than + this lower bound. + + + Examples + ======== + + >>> from sympy.utilities.enumerative import list_visitor + >>> from sympy.utilities.enumerative import MultisetPartitionTraverser + >>> m = MultisetPartitionTraverser() + >>> states = m.enum_large([2,2], 2) + >>> list(list_visitor(state, 'ab') for state in states) + [[['a', 'a'], ['b'], ['b']], + [['a', 'b'], ['a'], ['b']], + [['a'], ['a'], ['b', 'b']], + [['a'], ['a'], ['b'], ['b']]] + + See Also + ======== + + enum_all, enum_small, enum_range + + """ + self.discarded = 0 + if lb >= sum(multiplicities): + return + self._initialize_enumeration(multiplicities) + self.decrement_part_large(self.top_part(), 0, lb) + while True: + good_partition = True + while self.spread_part_multiplicity(): + if not self.decrement_part_large(self.top_part(), 0, lb): + # Failure here should be rare/impossible + self.discarded += 1 + good_partition = False + break + + # M4 Visit a partition + if good_partition: + state = [self.f, self.lpart, self.pstack] + yield state + + # M5 (Decrease v) + while not self.decrement_part_large(self.top_part(), 1, lb): + # M6 (Backtrack) + if self.lpart == 0: + return + self.lpart -= 1 + + def enum_range(self, multiplicities, lb, ub): + + """Enumerate the partitions of a multiset with + ``lb < num(parts) <= ub``. + + In particular, if partitions with exactly ``k`` parts are + desired, call with ``(multiplicities, k - 1, k)``. This + method generalizes enum_all, enum_small, and enum_large. + + Examples + ======== + + >>> from sympy.utilities.enumerative import list_visitor + >>> from sympy.utilities.enumerative import MultisetPartitionTraverser + >>> m = MultisetPartitionTraverser() + >>> states = m.enum_range([2,2], 1, 2) + >>> list(list_visitor(state, 'ab') for state in states) + [[['a', 'a', 'b'], ['b']], + [['a', 'a'], ['b', 'b']], + [['a', 'b', 'b'], ['a']], + [['a', 'b'], ['a', 'b']]] + + """ + # combine the constraints of the _large and _small + # enumerations. + self.discarded = 0 + if ub <= 0 or lb >= sum(multiplicities): + return + self._initialize_enumeration(multiplicities) + self.decrement_part_large(self.top_part(), 0, lb) + while True: + good_partition = True + while self.spread_part_multiplicity(): + self.db_trace("spread 1") + if not self.decrement_part_large(self.top_part(), 0, lb): + # Failure here - possible in range case? + self.db_trace(" Discarding (large cons)") + self.discarded += 1 + good_partition = False + break + elif self.lpart >= ub: + self.discarded += 1 + good_partition = False + self.db_trace(" Discarding small cons") + self.lpart = ub - 2 + break + + # M4 Visit a partition + if good_partition: + state = [self.f, self.lpart, self.pstack] + yield state + + # M5 (Decrease v) + while not self.decrement_part_range(self.top_part(), lb, ub): + self.db_trace("Failed decrement, going to backtrack") + # M6 (Backtrack) + if self.lpart == 0: + return + self.lpart -= 1 + self.db_trace("Backtracked to") + self.db_trace("decrement ok, about to expand") + + def count_partitions_slow(self, multiplicities): + """Returns the number of partitions of a multiset whose elements + have the multiplicities given in ``multiplicities``. + + Primarily for comparison purposes. It follows the same path as + enumerate, and counts, rather than generates, the partitions. + + See Also + ======== + + count_partitions + Has the same calling interface, but is much faster. + + """ + # number of partitions so far in the enumeration + self.pcount = 0 + self._initialize_enumeration(multiplicities) + while True: + while self.spread_part_multiplicity(): + pass + + # M4 Visit (count) a partition + self.pcount += 1 + + # M5 (Decrease v) + while not self.decrement_part(self.top_part()): + # M6 (Backtrack) + if self.lpart == 0: + return self.pcount + self.lpart -= 1 + + def count_partitions(self, multiplicities): + """Returns the number of partitions of a multiset whose components + have the multiplicities given in ``multiplicities``. + + For larger counts, this method is much faster than calling one + of the enumerators and counting the result. Uses dynamic + programming to cut down on the number of nodes actually + explored. The dictionary used in order to accelerate the + counting process is stored in the ``MultisetPartitionTraverser`` + object and persists across calls. If the user does not + expect to call ``count_partitions`` for any additional + multisets, the object should be cleared to save memory. On + the other hand, the cache built up from one count run can + significantly speed up subsequent calls to ``count_partitions``, + so it may be advantageous not to clear the object. + + Examples + ======== + + >>> from sympy.utilities.enumerative import MultisetPartitionTraverser + >>> m = MultisetPartitionTraverser() + >>> m.count_partitions([9,8,2]) + 288716 + >>> m.count_partitions([2,2]) + 9 + >>> del m + + Notes + ===== + + If one looks at the workings of Knuth's algorithm M [AOCP]_, it + can be viewed as a traversal of a binary tree of parts. A + part has (up to) two children, the left child resulting from + the spread operation, and the right child from the decrement + operation. The ordinary enumeration of multiset partitions is + an in-order traversal of this tree, and with the partitions + corresponding to paths from the root to the leaves. The + mapping from paths to partitions is a little complicated, + since the partition would contain only those parts which are + leaves or the parents of a spread link, not those which are + parents of a decrement link. + + For counting purposes, it is sufficient to count leaves, and + this can be done with a recursive in-order traversal. The + number of leaves of a subtree rooted at a particular part is a + function only of that part itself, so memoizing has the + potential to speed up the counting dramatically. + + This method follows a computational approach which is similar + to the hypothetical memoized recursive function, but with two + differences: + + 1) This method is iterative, borrowing its structure from the + other enumerations and maintaining an explicit stack of + parts which are in the process of being counted. (There + may be multisets which can be counted reasonably quickly by + this implementation, but which would overflow the default + Python recursion limit with a recursive implementation.) + + 2) Instead of using the part data structure directly, a more + compact key is constructed. This saves space, but more + importantly coalesces some parts which would remain + separate with physical keys. + + Unlike the enumeration functions, there is currently no _range + version of count_partitions. If someone wants to stretch + their brain, it should be possible to construct one by + memoizing with a histogram of counts rather than a single + count, and combining the histograms. + """ + # number of partitions so far in the enumeration + self.pcount = 0 + + # dp_stack is list of lists of (part_key, start_count) pairs + self.dp_stack = [] + + self._initialize_enumeration(multiplicities) + pkey = part_key(self.top_part()) + self.dp_stack.append([(pkey, 0), ]) + while True: + while self.spread_part_multiplicity(): + pkey = part_key(self.top_part()) + if pkey in self.dp_map: + # Already have a cached value for the count of the + # subtree rooted at this part. Add it to the + # running counter, and break out of the spread + # loop. The -1 below is to compensate for the + # leaf that this code path would otherwise find, + # and which gets incremented for below. + + self.pcount += (self.dp_map[pkey] - 1) + self.lpart -= 1 + break + else: + self.dp_stack.append([(pkey, self.pcount), ]) + + # M4 count a leaf partition + self.pcount += 1 + + # M5 (Decrease v) + while not self.decrement_part(self.top_part()): + # M6 (Backtrack) + for key, oldcount in self.dp_stack.pop(): + self.dp_map[key] = self.pcount - oldcount + if self.lpart == 0: + return self.pcount + self.lpart -= 1 + + # At this point have successfully decremented the part on + # the stack and it does not appear in the cache. It needs + # to be added to the list at the top of dp_stack + pkey = part_key(self.top_part()) + self.dp_stack[-1].append((pkey, self.pcount),) + + +def part_key(part): + """Helper for MultisetPartitionTraverser.count_partitions that + creates a key for ``part``, that only includes information which can + affect the count for that part. (Any irrelevant information just + reduces the effectiveness of dynamic programming.) + + Notes + ===== + + This member function is a candidate for future exploration. There + are likely symmetries that can be exploited to coalesce some + ``part_key`` values, and thereby save space and improve + performance. + + """ + # The component number is irrelevant for counting partitions, so + # leave it out of the memo key. + rval = [] + for ps in part: + rval.append(ps.u) + rval.append(ps.v) + return tuple(rval) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/exceptions.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/exceptions.py new file mode 100644 index 0000000000000000000000000000000000000000..f764a31371ed109d69102777bd9ec0dfb3d75380 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/exceptions.py @@ -0,0 +1,271 @@ +""" +General SymPy exceptions and warnings. +""" + +import warnings +import contextlib + +from textwrap import dedent + + +class SymPyDeprecationWarning(DeprecationWarning): + r""" + A warning for deprecated features of SymPy. + + See the :ref:`deprecation-policy` document for details on when and how + things should be deprecated in SymPy. + + Note that simply constructing this class will not cause a warning to be + issued. To do that, you must call the :func`sympy_deprecation_warning` + function. For this reason, it is not recommended to ever construct this + class directly. + + Explanation + =========== + + The ``SymPyDeprecationWarning`` class is a subclass of + ``DeprecationWarning`` that is used for all deprecations in SymPy. A + special subclass is used so that we can automatically augment the warning + message with additional metadata about the version the deprecation was + introduced in and a link to the documentation. This also allows users to + explicitly filter deprecation warnings from SymPy using ``warnings`` + filters (see :ref:`silencing-sympy-deprecation-warnings`). + + Additionally, ``SymPyDeprecationWarning`` is enabled to be shown by + default, unlike normal ``DeprecationWarning``\s, which are only shown by + default in interactive sessions. This ensures that deprecation warnings in + SymPy will actually be seen by users. + + See the documentation of :func:`sympy_deprecation_warning` for a + description of the parameters to this function. + + To mark a function as deprecated, you can use the :func:`@deprecated + ` decorator. + + See Also + ======== + sympy.utilities.exceptions.sympy_deprecation_warning + sympy.utilities.exceptions.ignore_warnings + sympy.utilities.decorator.deprecated + sympy.testing.pytest.warns_deprecated_sympy + + """ + def __init__(self, message, *, deprecated_since_version, active_deprecations_target): + + super().__init__(message, deprecated_since_version, + active_deprecations_target) + self.message = message + if not isinstance(deprecated_since_version, str): + raise TypeError(f"'deprecated_since_version' should be a string, got {deprecated_since_version!r}") + self.deprecated_since_version = deprecated_since_version + self.active_deprecations_target = active_deprecations_target + if any(i in active_deprecations_target for i in '()='): + raise ValueError("active_deprecations_target be the part inside of the '(...)='") + + self.full_message = f""" + +{dedent(message).strip()} + +See https://docs.sympy.org/latest/explanation/active-deprecations.html#{active_deprecations_target} +for details. + +This has been deprecated since SymPy version {deprecated_since_version}. It +will be removed in a future version of SymPy. +""" + + def __str__(self): + return self.full_message + + def __repr__(self): + return f"{self.__class__.__name__}({self.message!r}, deprecated_since_version={self.deprecated_since_version!r}, active_deprecations_target={self.active_deprecations_target!r})" + + def __eq__(self, other): + return isinstance(other, SymPyDeprecationWarning) and self.args == other.args + + # Make pickling work. The by default, it tries to recreate the expression + # from its args, but this doesn't work because of our keyword-only + # arguments. + @classmethod + def _new(cls, message, deprecated_since_version, + active_deprecations_target): + return cls(message, deprecated_since_version=deprecated_since_version, active_deprecations_target=active_deprecations_target) + + def __reduce__(self): + return (self._new, (self.message, self.deprecated_since_version, self.active_deprecations_target)) + +# Python by default hides DeprecationWarnings, which we do not want. +warnings.simplefilter("once", SymPyDeprecationWarning) + +def sympy_deprecation_warning(message, *, deprecated_since_version, + active_deprecations_target, stacklevel=3): + r''' + Warn that a feature is deprecated in SymPy. + + See the :ref:`deprecation-policy` document for details on when and how + things should be deprecated in SymPy. + + To mark an entire function or class as deprecated, you can use the + :func:`@deprecated ` decorator. + + Parameters + ========== + + message : str + The deprecation message. This may span multiple lines and contain + code examples. Messages should be wrapped to 80 characters. The + message is automatically dedented and leading and trailing whitespace + stripped. Messages may include dynamic content based on the user + input, but avoid using ``str(expression)`` if an expression can be + arbitrary, as it might be huge and make the warning message + unreadable. + + deprecated_since_version : str + The version of SymPy the feature has been deprecated since. For new + deprecations, this should be the version in `sympy/release.py + `_ + without the ``.dev``. If the next SymPy version ends up being + different from this, the release manager will need to update any + ``SymPyDeprecationWarning``\s using the incorrect version. This + argument is required and must be passed as a keyword argument. + (example: ``deprecated_since_version="1.10"``). + + active_deprecations_target : str + The Sphinx target corresponding to the section for the deprecation in + the :ref:`active-deprecations` document (see + ``doc/src/explanation/active-deprecations.md``). This is used to + automatically generate a URL to the page in the warning message. This + argument is required and must be passed as a keyword argument. + (example: ``active_deprecations_target="deprecated-feature-abc"``) + + stacklevel : int, default: 3 + The ``stacklevel`` parameter that is passed to ``warnings.warn``. If + you create a wrapper that calls this function, this should be + increased so that the warning message shows the user line of code that + produced the warning. Note that in some cases there will be multiple + possible different user code paths that could result in the warning. + In that case, just choose the smallest common stacklevel. + + Examples + ======== + + >>> from sympy.utilities.exceptions import sympy_deprecation_warning + >>> def is_this_zero(x, y=0): + ... """ + ... Determine if x = 0. + ... + ... Parameters + ... ========== + ... + ... x : Expr + ... The expression to check. + ... + ... y : Expr, optional + ... If provided, check if x = y. + ... + ... .. deprecated:: 1.1 + ... + ... The ``y`` argument to ``is_this_zero`` is deprecated. Use + ... ``is_this_zero(x - y)`` instead. + ... + ... """ + ... from sympy import simplify + ... + ... if y != 0: + ... sympy_deprecation_warning(""" + ... The y argument to is_zero() is deprecated. Use is_zero(x - y) instead.""", + ... deprecated_since_version="1.1", + ... active_deprecations_target='is-this-zero-y-deprecation') + ... return simplify(x - y) == 0 + >>> is_this_zero(0) + True + >>> is_this_zero(1, 1) # doctest: +SKIP + :1: SymPyDeprecationWarning: + + The y argument to is_zero() is deprecated. Use is_zero(x - y) instead. + + See https://docs.sympy.org/latest/explanation/active-deprecations.html#is-this-zero-y-deprecation + for details. + + This has been deprecated since SymPy version 1.1. It + will be removed in a future version of SymPy. + + is_this_zero(1, 1) + True + + See Also + ======== + + sympy.utilities.exceptions.SymPyDeprecationWarning + sympy.utilities.exceptions.ignore_warnings + sympy.utilities.decorator.deprecated + sympy.testing.pytest.warns_deprecated_sympy + + ''' + w = SymPyDeprecationWarning(message, + deprecated_since_version=deprecated_since_version, + active_deprecations_target=active_deprecations_target) + warnings.warn(w, stacklevel=stacklevel) + + +@contextlib.contextmanager +def ignore_warnings(warningcls): + ''' + Context manager to suppress warnings during tests. + + .. note:: + + Do not use this with SymPyDeprecationWarning in the tests. + warns_deprecated_sympy() should be used instead. + + This function is useful for suppressing warnings during tests. The warns + function should be used to assert that a warning is raised. The + ignore_warnings function is useful in situation when the warning is not + guaranteed to be raised (e.g. on importing a module) or if the warning + comes from third-party code. + + This function is also useful to prevent the same or similar warnings from + being issue twice due to recursive calls. + + When the warning is coming (reliably) from SymPy the warns function should + be preferred to ignore_warnings. + + >>> from sympy.utilities.exceptions import ignore_warnings + >>> import warnings + + Here's a warning: + + >>> with warnings.catch_warnings(): # reset warnings in doctest + ... warnings.simplefilter('error') + ... warnings.warn('deprecated', UserWarning) + Traceback (most recent call last): + ... + UserWarning: deprecated + + Let's suppress it with ignore_warnings: + + >>> with warnings.catch_warnings(): # reset warnings in doctest + ... warnings.simplefilter('error') + ... with ignore_warnings(UserWarning): + ... warnings.warn('deprecated', UserWarning) + + (No warning emitted) + + See Also + ======== + sympy.utilities.exceptions.SymPyDeprecationWarning + sympy.utilities.exceptions.sympy_deprecation_warning + sympy.utilities.decorator.deprecated + sympy.testing.pytest.warns_deprecated_sympy + + ''' + # Absorbs all warnings in warnrec + with warnings.catch_warnings(record=True) as warnrec: + # Make sure our warning doesn't get filtered + warnings.simplefilter("always", warningcls) + # Now run the test + yield + + # Reissue any warnings that we aren't testing for + for w in warnrec: + if not issubclass(w.category, warningcls): + warnings.warn_explicit(w.message, w.category, w.filename, w.lineno) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/iterables.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/iterables.py new file mode 100644 index 0000000000000000000000000000000000000000..cc5c1152f03b10f62f9dd04c842b6fc74b0b9242 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/iterables.py @@ -0,0 +1,3179 @@ +from collections import Counter, defaultdict, OrderedDict +from itertools import ( + chain, combinations, combinations_with_replacement, cycle, islice, + permutations, product, groupby +) +# For backwards compatibility +from itertools import product as cartes # noqa: F401 +from operator import gt + + + +# this is the logical location of these functions +from sympy.utilities.enumerative import ( + multiset_partitions_taocp, list_visitor, MultisetPartitionTraverser) + +from sympy.utilities.misc import as_int +from sympy.utilities.decorator import deprecated + + +def is_palindromic(s, i=0, j=None): + """ + Return True if the sequence is the same from left to right as it + is from right to left in the whole sequence (default) or in the + Python slice ``s[i: j]``; else False. + + Examples + ======== + + >>> from sympy.utilities.iterables import is_palindromic + >>> is_palindromic([1, 0, 1]) + True + >>> is_palindromic('abcbb') + False + >>> is_palindromic('abcbb', 1) + False + + Normal Python slicing is performed in place so there is no need to + create a slice of the sequence for testing: + + >>> is_palindromic('abcbb', 1, -1) + True + >>> is_palindromic('abcbb', -4, -1) + True + + See Also + ======== + + sympy.ntheory.digits.is_palindromic: tests integers + + """ + i, j, _ = slice(i, j).indices(len(s)) + m = (j - i)//2 + # if length is odd, middle element will be ignored + return all(s[i + k] == s[j - 1 - k] for k in range(m)) + + +def flatten(iterable, levels=None, cls=None): # noqa: F811 + """ + Recursively denest iterable containers. + + >>> from sympy import flatten + + >>> flatten([1, 2, 3]) + [1, 2, 3] + >>> flatten([1, 2, [3]]) + [1, 2, 3] + >>> flatten([1, [2, 3], [4, 5]]) + [1, 2, 3, 4, 5] + >>> flatten([1.0, 2, (1, None)]) + [1.0, 2, 1, None] + + If you want to denest only a specified number of levels of + nested containers, then set ``levels`` flag to the desired + number of levels:: + + >>> ls = [[(-2, -1), (1, 2)], [(0, 0)]] + + >>> flatten(ls, levels=1) + [(-2, -1), (1, 2), (0, 0)] + + If cls argument is specified, it will only flatten instances of that + class, for example: + + >>> from sympy import Basic, S + >>> class MyOp(Basic): + ... pass + ... + >>> flatten([MyOp(S(1), MyOp(S(2), S(3)))], cls=MyOp) + [1, 2, 3] + + adapted from https://kogs-www.informatik.uni-hamburg.de/~meine/python_tricks + """ + from sympy.tensor.array import NDimArray + if levels is not None: + if not levels: + return iterable + elif levels > 0: + levels -= 1 + else: + raise ValueError( + "expected non-negative number of levels, got %s" % levels) + + if cls is None: + def reducible(x): + return is_sequence(x, set) + else: + def reducible(x): + return isinstance(x, cls) + + result = [] + + for el in iterable: + if reducible(el): + if hasattr(el, 'args') and not isinstance(el, NDimArray): + el = el.args + result.extend(flatten(el, levels=levels, cls=cls)) + else: + result.append(el) + + return result + + +def unflatten(iter, n=2): + """Group ``iter`` into tuples of length ``n``. Raise an error if + the length of ``iter`` is not a multiple of ``n``. + """ + if n < 1 or len(iter) % n: + raise ValueError('iter length is not a multiple of %i' % n) + return list(zip(*(iter[i::n] for i in range(n)))) + + +def reshape(seq, how): + """Reshape the sequence according to the template in ``how``. + + Examples + ======== + + >>> from sympy.utilities import reshape + >>> seq = list(range(1, 9)) + + >>> reshape(seq, [4]) # lists of 4 + [[1, 2, 3, 4], [5, 6, 7, 8]] + + >>> reshape(seq, (4,)) # tuples of 4 + [(1, 2, 3, 4), (5, 6, 7, 8)] + + >>> reshape(seq, (2, 2)) # tuples of 4 + [(1, 2, 3, 4), (5, 6, 7, 8)] + + >>> reshape(seq, (2, [2])) # (i, i, [i, i]) + [(1, 2, [3, 4]), (5, 6, [7, 8])] + + >>> reshape(seq, ((2,), [2])) # etc.... + [((1, 2), [3, 4]), ((5, 6), [7, 8])] + + >>> reshape(seq, (1, [2], 1)) + [(1, [2, 3], 4), (5, [6, 7], 8)] + + >>> reshape(tuple(seq), ([[1], 1, (2,)],)) + (([[1], 2, (3, 4)],), ([[5], 6, (7, 8)],)) + + >>> reshape(tuple(seq), ([1], 1, (2,))) + (([1], 2, (3, 4)), ([5], 6, (7, 8))) + + >>> reshape(list(range(12)), [2, [3], {2}, (1, (3,), 1)]) + [[0, 1, [2, 3, 4], {5, 6}, (7, (8, 9, 10), 11)]] + + """ + m = sum(flatten(how)) + n, rem = divmod(len(seq), m) + if m < 0 or rem: + raise ValueError('template must sum to positive number ' + 'that divides the length of the sequence') + i = 0 + container = type(how) + rv = [None]*n + for k in range(len(rv)): + _rv = [] + for hi in how: + if isinstance(hi, int): + _rv.extend(seq[i: i + hi]) + i += hi + else: + n = sum(flatten(hi)) + hi_type = type(hi) + _rv.append(hi_type(reshape(seq[i: i + n], hi)[0])) + i += n + rv[k] = container(_rv) + return type(seq)(rv) + + +def group(seq, multiple=True): + """ + Splits a sequence into a list of lists of equal, adjacent elements. + + Examples + ======== + + >>> from sympy import group + + >>> group([1, 1, 1, 2, 2, 3]) + [[1, 1, 1], [2, 2], [3]] + >>> group([1, 1, 1, 2, 2, 3], multiple=False) + [(1, 3), (2, 2), (3, 1)] + >>> group([1, 1, 3, 2, 2, 1], multiple=False) + [(1, 2), (3, 1), (2, 2), (1, 1)] + + See Also + ======== + + multiset + + """ + if multiple: + return [(list(g)) for _, g in groupby(seq)] + return [(k, len(list(g))) for k, g in groupby(seq)] + + +def _iproduct2(iterable1, iterable2): + '''Cartesian product of two possibly infinite iterables''' + + it1 = iter(iterable1) + it2 = iter(iterable2) + + elems1 = [] + elems2 = [] + + sentinel = object() + def append(it, elems): + e = next(it, sentinel) + if e is not sentinel: + elems.append(e) + + n = 0 + append(it1, elems1) + append(it2, elems2) + + while n <= len(elems1) + len(elems2): + for m in range(n-len(elems1)+1, len(elems2)): + yield (elems1[n-m], elems2[m]) + n += 1 + append(it1, elems1) + append(it2, elems2) + + +def iproduct(*iterables): + ''' + Cartesian product of iterables. + + Generator of the Cartesian product of iterables. This is analogous to + itertools.product except that it works with infinite iterables and will + yield any item from the infinite product eventually. + + Examples + ======== + + >>> from sympy.utilities.iterables import iproduct + >>> sorted(iproduct([1,2], [3,4])) + [(1, 3), (1, 4), (2, 3), (2, 4)] + + With an infinite iterator: + + >>> from sympy import S + >>> (3,) in iproduct(S.Integers) + True + >>> (3, 4) in iproduct(S.Integers, S.Integers) + True + + .. seealso:: + + `itertools.product + `_ + ''' + if len(iterables) == 0: + yield () + return + elif len(iterables) == 1: + for e in iterables[0]: + yield (e,) + elif len(iterables) == 2: + yield from _iproduct2(*iterables) + else: + first, others = iterables[0], iterables[1:] + for ef, eo in _iproduct2(first, iproduct(*others)): + yield (ef,) + eo + + +def multiset(seq): + """Return the hashable sequence in multiset form with values being the + multiplicity of the item in the sequence. + + Examples + ======== + + >>> from sympy.utilities.iterables import multiset + >>> multiset('mississippi') + {'i': 4, 'm': 1, 'p': 2, 's': 4} + + See Also + ======== + + group + + """ + return dict(Counter(seq).items()) + + + + +def ibin(n, bits=None, str=False): + """Return a list of length ``bits`` corresponding to the binary value + of ``n`` with small bits to the right (last). If bits is omitted, the + length will be the number required to represent ``n``. If the bits are + desired in reversed order, use the ``[::-1]`` slice of the returned list. + + If a sequence of all bits-length lists starting from ``[0, 0,..., 0]`` + through ``[1, 1, ..., 1]`` are desired, pass a non-integer for bits, e.g. + ``'all'``. + + If the bit *string* is desired pass ``str=True``. + + Examples + ======== + + >>> from sympy.utilities.iterables import ibin + >>> ibin(2) + [1, 0] + >>> ibin(2, 4) + [0, 0, 1, 0] + + If all lists corresponding to 0 to 2**n - 1, pass a non-integer + for bits: + + >>> bits = 2 + >>> for i in ibin(2, 'all'): + ... print(i) + (0, 0) + (0, 1) + (1, 0) + (1, 1) + + If a bit string is desired of a given length, use str=True: + + >>> n = 123 + >>> bits = 10 + >>> ibin(n, bits, str=True) + '0001111011' + >>> ibin(n, bits, str=True)[::-1] # small bits left + '1101111000' + >>> list(ibin(3, 'all', str=True)) + ['000', '001', '010', '011', '100', '101', '110', '111'] + + """ + if n < 0: + raise ValueError("negative numbers are not allowed") + n = as_int(n) + + if bits is None: + bits = 0 + else: + try: + bits = as_int(bits) + except ValueError: + bits = -1 + else: + if n.bit_length() > bits: + raise ValueError( + "`bits` must be >= {}".format(n.bit_length())) + + if not str: + if bits >= 0: + return [1 if i == "1" else 0 for i in bin(n)[2:].rjust(bits, "0")] + else: + return variations(range(2), n, repetition=True) + else: + if bits >= 0: + return bin(n)[2:].rjust(bits, "0") + else: + return (bin(i)[2:].rjust(n, "0") for i in range(2**n)) + + +def variations(seq, n, repetition=False): + r"""Returns an iterator over the n-sized variations of ``seq`` (size N). + ``repetition`` controls whether items in ``seq`` can appear more than once; + + Examples + ======== + + ``variations(seq, n)`` will return `\frac{N!}{(N - n)!}` permutations without + repetition of ``seq``'s elements: + + >>> from sympy import variations + >>> list(variations([1, 2], 2)) + [(1, 2), (2, 1)] + + ``variations(seq, n, True)`` will return the `N^n` permutations obtained + by allowing repetition of elements: + + >>> list(variations([1, 2], 2, repetition=True)) + [(1, 1), (1, 2), (2, 1), (2, 2)] + + If you ask for more items than are in the set you get the empty set unless + you allow repetitions: + + >>> list(variations([0, 1], 3, repetition=False)) + [] + >>> list(variations([0, 1], 3, repetition=True))[:4] + [(0, 0, 0), (0, 0, 1), (0, 1, 0), (0, 1, 1)] + + .. seealso:: + + `itertools.permutations + `_, + `itertools.product + `_ + """ + if not repetition: + seq = tuple(seq) + if len(seq) < n: + return iter(()) # 0 length iterator + return permutations(seq, n) + else: + if n == 0: + return iter(((),)) # yields 1 empty tuple + else: + return product(seq, repeat=n) + + +def subsets(seq, k=None, repetition=False): + r"""Generates all `k`-subsets (combinations) from an `n`-element set, ``seq``. + + A `k`-subset of an `n`-element set is any subset of length exactly `k`. The + number of `k`-subsets of an `n`-element set is given by ``binomial(n, k)``, + whereas there are `2^n` subsets all together. If `k` is ``None`` then all + `2^n` subsets will be returned from shortest to longest. + + Examples + ======== + + >>> from sympy import subsets + + ``subsets(seq, k)`` will return the + `\frac{n!}{k!(n - k)!}` `k`-subsets (combinations) + without repetition, i.e. once an item has been removed, it can no + longer be "taken": + + >>> list(subsets([1, 2], 2)) + [(1, 2)] + >>> list(subsets([1, 2])) + [(), (1,), (2,), (1, 2)] + >>> list(subsets([1, 2, 3], 2)) + [(1, 2), (1, 3), (2, 3)] + + + ``subsets(seq, k, repetition=True)`` will return the + `\frac{(n - 1 + k)!}{k!(n - 1)!}` + combinations *with* repetition: + + >>> list(subsets([1, 2], 2, repetition=True)) + [(1, 1), (1, 2), (2, 2)] + + If you ask for more items than are in the set you get the empty set unless + you allow repetitions: + + >>> list(subsets([0, 1], 3, repetition=False)) + [] + >>> list(subsets([0, 1], 3, repetition=True)) + [(0, 0, 0), (0, 0, 1), (0, 1, 1), (1, 1, 1)] + + """ + if k is None: + if not repetition: + return chain.from_iterable((combinations(seq, k) + for k in range(len(seq) + 1))) + else: + return chain.from_iterable((combinations_with_replacement(seq, k) + for k in range(len(seq) + 1))) + else: + if not repetition: + return combinations(seq, k) + else: + return combinations_with_replacement(seq, k) + + +def filter_symbols(iterator, exclude): + """ + Only yield elements from `iterator` that do not occur in `exclude`. + + Parameters + ========== + + iterator : iterable + iterator to take elements from + + exclude : iterable + elements to exclude + + Returns + ======= + + iterator : iterator + filtered iterator + """ + exclude = set(exclude) + for s in iterator: + if s not in exclude: + yield s + +def numbered_symbols(prefix='x', cls=None, start=0, exclude=(), *args, **assumptions): + """ + Generate an infinite stream of Symbols consisting of a prefix and + increasing subscripts provided that they do not occur in ``exclude``. + + Parameters + ========== + + prefix : str, optional + The prefix to use. By default, this function will generate symbols of + the form "x0", "x1", etc. + + cls : class, optional + The class to use. By default, it uses ``Symbol``, but you can also use ``Wild`` + or ``Dummy``. + + start : int, optional + The start number. By default, it is 0. + + exclude : list, tuple, set of cls, optional + Symbols to be excluded. + + *args, **kwargs + Additional positional and keyword arguments are passed to the *cls* class. + + Returns + ======= + + sym : Symbol + The subscripted symbols. + """ + exclude = set(exclude or []) + if cls is None: + # We can't just make the default cls=Symbol because it isn't + # imported yet. + from sympy.core import Symbol + cls = Symbol + + while True: + name = '%s%s' % (prefix, start) + s = cls(name, *args, **assumptions) + if s not in exclude: + yield s + start += 1 + + +def capture(func): + """Return the printed output of func(). + + ``func`` should be a function without arguments that produces output with + print statements. + + >>> from sympy.utilities.iterables import capture + >>> from sympy import pprint + >>> from sympy.abc import x + >>> def foo(): + ... print('hello world!') + ... + >>> 'hello' in capture(foo) # foo, not foo() + True + >>> capture(lambda: pprint(2/x)) + '2\\n-\\nx\\n' + + """ + from io import StringIO + import sys + + stdout = sys.stdout + sys.stdout = file = StringIO() + try: + func() + finally: + sys.stdout = stdout + return file.getvalue() + + +def sift(seq, keyfunc, binary=False): + """ + Sift the sequence, ``seq`` according to ``keyfunc``. + + Returns + ======= + + When ``binary`` is ``False`` (default), the output is a dictionary + where elements of ``seq`` are stored in a list keyed to the value + of keyfunc for that element. If ``binary`` is True then a tuple + with lists ``T`` and ``F`` are returned where ``T`` is a list + containing elements of seq for which ``keyfunc`` was ``True`` and + ``F`` containing those elements for which ``keyfunc`` was ``False``; + a ValueError is raised if the ``keyfunc`` is not binary. + + Examples + ======== + + >>> from sympy.utilities import sift + >>> from sympy.abc import x, y + >>> from sympy import sqrt, exp, pi, Tuple + + >>> sift(range(5), lambda x: x % 2) + {0: [0, 2, 4], 1: [1, 3]} + + sift() returns a defaultdict() object, so any key that has no matches will + give []. + + >>> sift([x], lambda x: x.is_commutative) + {True: [x]} + >>> _[False] + [] + + Sometimes you will not know how many keys you will get: + + >>> sift([sqrt(x), exp(x), (y**x)**2], + ... lambda x: x.as_base_exp()[0]) + {E: [exp(x)], x: [sqrt(x)], y: [y**(2*x)]} + + Sometimes you expect the results to be binary; the + results can be unpacked by setting ``binary`` to True: + + >>> sift(range(4), lambda x: x % 2, binary=True) + ([1, 3], [0, 2]) + >>> sift(Tuple(1, pi), lambda x: x.is_rational, binary=True) + ([1], [pi]) + + A ValueError is raised if the predicate was not actually binary + (which is a good test for the logic where sifting is used and + binary results were expected): + + >>> unknown = exp(1) - pi # the rationality of this is unknown + >>> args = Tuple(1, pi, unknown) + >>> sift(args, lambda x: x.is_rational, binary=True) + Traceback (most recent call last): + ... + ValueError: keyfunc gave non-binary output + + The non-binary sifting shows that there were 3 keys generated: + + >>> set(sift(args, lambda x: x.is_rational).keys()) + {None, False, True} + + If you need to sort the sifted items it might be better to use + ``ordered`` which can economically apply multiple sort keys + to a sequence while sorting. + + See Also + ======== + + ordered + + """ + if not binary: + m = defaultdict(list) + for i in seq: + m[keyfunc(i)].append(i) + return m + sift = F, T = [], [] + for i in seq: + try: + sift[keyfunc(i)].append(i) + except (IndexError, TypeError): + raise ValueError('keyfunc gave non-binary output') + return T, F + + +def take(iter, n): + """Return ``n`` items from ``iter`` iterator. """ + return [ value for _, value in zip(range(n), iter) ] + + +def dict_merge(*dicts): + """Merge dictionaries into a single dictionary. """ + merged = {} + + for dict in dicts: + merged.update(dict) + + return merged + + +def common_prefix(*seqs): + """Return the subsequence that is a common start of sequences in ``seqs``. + + >>> from sympy.utilities.iterables import common_prefix + >>> common_prefix(list(range(3))) + [0, 1, 2] + >>> common_prefix(list(range(3)), list(range(4))) + [0, 1, 2] + >>> common_prefix([1, 2, 3], [1, 2, 5]) + [1, 2] + >>> common_prefix([1, 2, 3], [1, 3, 5]) + [1] + """ + if not all(seqs): + return [] + elif len(seqs) == 1: + return seqs[0] + i = 0 + for i in range(min(len(s) for s in seqs)): + if not all(seqs[j][i] == seqs[0][i] for j in range(len(seqs))): + break + else: + i += 1 + return seqs[0][:i] + + +def common_suffix(*seqs): + """Return the subsequence that is a common ending of sequences in ``seqs``. + + >>> from sympy.utilities.iterables import common_suffix + >>> common_suffix(list(range(3))) + [0, 1, 2] + >>> common_suffix(list(range(3)), list(range(4))) + [] + >>> common_suffix([1, 2, 3], [9, 2, 3]) + [2, 3] + >>> common_suffix([1, 2, 3], [9, 7, 3]) + [3] + """ + + if not all(seqs): + return [] + elif len(seqs) == 1: + return seqs[0] + i = 0 + for i in range(-1, -min(len(s) for s in seqs) - 1, -1): + if not all(seqs[j][i] == seqs[0][i] for j in range(len(seqs))): + break + else: + i -= 1 + if i == -1: + return [] + else: + return seqs[0][i + 1:] + + +def prefixes(seq): + """ + Generate all prefixes of a sequence. + + Examples + ======== + + >>> from sympy.utilities.iterables import prefixes + + >>> list(prefixes([1,2,3,4])) + [[1], [1, 2], [1, 2, 3], [1, 2, 3, 4]] + + """ + n = len(seq) + + for i in range(n): + yield seq[:i + 1] + + +def postfixes(seq): + """ + Generate all postfixes of a sequence. + + Examples + ======== + + >>> from sympy.utilities.iterables import postfixes + + >>> list(postfixes([1,2,3,4])) + [[4], [3, 4], [2, 3, 4], [1, 2, 3, 4]] + + """ + n = len(seq) + + for i in range(n): + yield seq[n - i - 1:] + + +def topological_sort(graph, key=None): + r""" + Topological sort of graph's vertices. + + Parameters + ========== + + graph : tuple[list, list[tuple[T, T]] + A tuple consisting of a list of vertices and a list of edges of + a graph to be sorted topologically. + + key : callable[T] (optional) + Ordering key for vertices on the same level. By default the natural + (e.g. lexicographic) ordering is used (in this case the base type + must implement ordering relations). + + Examples + ======== + + Consider a graph:: + + +---+ +---+ +---+ + | 7 |\ | 5 | | 3 | + +---+ \ +---+ +---+ + | _\___/ ____ _/ | + | / \___/ \ / | + V V V V | + +----+ +---+ | + | 11 | | 8 | | + +----+ +---+ | + | | \____ ___/ _ | + | \ \ / / \ | + V \ V V / V V + +---+ \ +---+ | +----+ + | 2 | | | 9 | | | 10 | + +---+ | +---+ | +----+ + \________/ + + where vertices are integers. This graph can be encoded using + elementary Python's data structures as follows:: + + >>> V = [2, 3, 5, 7, 8, 9, 10, 11] + >>> E = [(7, 11), (7, 8), (5, 11), (3, 8), (3, 10), + ... (11, 2), (11, 9), (11, 10), (8, 9)] + + To compute a topological sort for graph ``(V, E)`` issue:: + + >>> from sympy.utilities.iterables import topological_sort + + >>> topological_sort((V, E)) + [3, 5, 7, 8, 11, 2, 9, 10] + + If specific tie breaking approach is needed, use ``key`` parameter:: + + >>> topological_sort((V, E), key=lambda v: -v) + [7, 5, 11, 3, 10, 8, 9, 2] + + Only acyclic graphs can be sorted. If the input graph has a cycle, + then ``ValueError`` will be raised:: + + >>> topological_sort((V, E + [(10, 7)])) + Traceback (most recent call last): + ... + ValueError: cycle detected + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Topological_sorting + + """ + V, E = graph + + L = [] + S = set(V) + E = list(E) + + S.difference_update(u for v, u in E) + + if key is None: + def key(value): + return value + + S = sorted(S, key=key, reverse=True) + + while S: + node = S.pop() + L.append(node) + + for u, v in list(E): + if u == node: + E.remove((u, v)) + + for _u, _v in E: + if v == _v: + break + else: + kv = key(v) + + for i, s in enumerate(S): + ks = key(s) + + if kv > ks: + S.insert(i, v) + break + else: + S.append(v) + + if E: + raise ValueError("cycle detected") + else: + return L + + +def strongly_connected_components(G): + r""" + Strongly connected components of a directed graph in reverse topological + order. + + + Parameters + ========== + + G : tuple[list, list[tuple[T, T]] + A tuple consisting of a list of vertices and a list of edges of + a graph whose strongly connected components are to be found. + + + Examples + ======== + + Consider a directed graph (in dot notation):: + + digraph { + A -> B + A -> C + B -> C + C -> B + B -> D + } + + .. graphviz:: + + digraph { + A -> B + A -> C + B -> C + C -> B + B -> D + } + + where vertices are the letters A, B, C and D. This graph can be encoded + using Python's elementary data structures as follows:: + + >>> V = ['A', 'B', 'C', 'D'] + >>> E = [('A', 'B'), ('A', 'C'), ('B', 'C'), ('C', 'B'), ('B', 'D')] + + The strongly connected components of this graph can be computed as + + >>> from sympy.utilities.iterables import strongly_connected_components + + >>> strongly_connected_components((V, E)) + [['D'], ['B', 'C'], ['A']] + + This also gives the components in reverse topological order. + + Since the subgraph containing B and C has a cycle they must be together in + a strongly connected component. A and D are connected to the rest of the + graph but not in a cyclic manner so they appear as their own strongly + connected components. + + + Notes + ===== + + The vertices of the graph must be hashable for the data structures used. + If the vertices are unhashable replace them with integer indices. + + This function uses Tarjan's algorithm to compute the strongly connected + components in `O(|V|+|E|)` (linear) time. + + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Strongly_connected_component + .. [2] https://en.wikipedia.org/wiki/Tarjan%27s_strongly_connected_components_algorithm + + + See Also + ======== + + sympy.utilities.iterables.connected_components + + """ + # Map from a vertex to its neighbours + V, E = G + Gmap = {vi: [] for vi in V} + for v1, v2 in E: + Gmap[v1].append(v2) + return _strongly_connected_components(V, Gmap) + + +def _strongly_connected_components(V, Gmap): + """More efficient internal routine for strongly_connected_components""" + # + # Here V is an iterable of vertices and Gmap is a dict mapping each vertex + # to a list of neighbours e.g.: + # + # V = [0, 1, 2, 3] + # Gmap = {0: [2, 3], 1: [0]} + # + # For a large graph these data structures can often be created more + # efficiently then those expected by strongly_connected_components() which + # in this case would be + # + # V = [0, 1, 2, 3] + # Gmap = [(0, 2), (0, 3), (1, 0)] + # + # XXX: Maybe this should be the recommended function to use instead... + # + + # Non-recursive Tarjan's algorithm: + lowlink = {} + indices = {} + stack = OrderedDict() + callstack = [] + components = [] + nomore = object() + + def start(v): + index = len(stack) + indices[v] = lowlink[v] = index + stack[v] = None + callstack.append((v, iter(Gmap[v]))) + + def finish(v1): + # Finished a component? + if lowlink[v1] == indices[v1]: + component = [stack.popitem()[0]] + while component[-1] is not v1: + component.append(stack.popitem()[0]) + components.append(component[::-1]) + v2, _ = callstack.pop() + if callstack: + v1, _ = callstack[-1] + lowlink[v1] = min(lowlink[v1], lowlink[v2]) + + for v in V: + if v in indices: + continue + start(v) + while callstack: + v1, it1 = callstack[-1] + v2 = next(it1, nomore) + # Finished children of v1? + if v2 is nomore: + finish(v1) + # Recurse on v2 + elif v2 not in indices: + start(v2) + elif v2 in stack: + lowlink[v1] = min(lowlink[v1], indices[v2]) + + # Reverse topological sort order: + return components + + +def connected_components(G): + r""" + Connected components of an undirected graph or weakly connected components + of a directed graph. + + + Parameters + ========== + + G : tuple[list, list[tuple[T, T]] + A tuple consisting of a list of vertices and a list of edges of + a graph whose connected components are to be found. + + + Examples + ======== + + + Given an undirected graph:: + + graph { + A -- B + C -- D + } + + .. graphviz:: + + graph { + A -- B + C -- D + } + + We can find the connected components using this function if we include + each edge in both directions:: + + >>> from sympy.utilities.iterables import connected_components + + >>> V = ['A', 'B', 'C', 'D'] + >>> E = [('A', 'B'), ('B', 'A'), ('C', 'D'), ('D', 'C')] + >>> connected_components((V, E)) + [['A', 'B'], ['C', 'D']] + + The weakly connected components of a directed graph can found the same + way. + + + Notes + ===== + + The vertices of the graph must be hashable for the data structures used. + If the vertices are unhashable replace them with integer indices. + + This function uses Tarjan's algorithm to compute the connected components + in `O(|V|+|E|)` (linear) time. + + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Component_%28graph_theory%29 + .. [2] https://en.wikipedia.org/wiki/Tarjan%27s_strongly_connected_components_algorithm + + + See Also + ======== + + sympy.utilities.iterables.strongly_connected_components + + """ + # Duplicate edges both ways so that the graph is effectively undirected + # and return the strongly connected components: + V, E = G + E_undirected = [] + for v1, v2 in E: + E_undirected.extend([(v1, v2), (v2, v1)]) + return strongly_connected_components((V, E_undirected)) + + +def rotate_left(x, y): + """ + Left rotates a list x by the number of steps specified + in y. + + Examples + ======== + + >>> from sympy.utilities.iterables import rotate_left + >>> a = [0, 1, 2] + >>> rotate_left(a, 1) + [1, 2, 0] + """ + if len(x) == 0: + return [] + y = y % len(x) + return x[y:] + x[:y] + + +def rotate_right(x, y): + """ + Right rotates a list x by the number of steps specified + in y. + + Examples + ======== + + >>> from sympy.utilities.iterables import rotate_right + >>> a = [0, 1, 2] + >>> rotate_right(a, 1) + [2, 0, 1] + """ + if len(x) == 0: + return [] + y = len(x) - y % len(x) + return x[y:] + x[:y] + + +def least_rotation(x, key=None): + ''' + Returns the number of steps of left rotation required to + obtain lexicographically minimal string/list/tuple, etc. + + Examples + ======== + + >>> from sympy.utilities.iterables import least_rotation, rotate_left + >>> a = [3, 1, 5, 1, 2] + >>> least_rotation(a) + 3 + >>> rotate_left(a, _) + [1, 2, 3, 1, 5] + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Lexicographically_minimal_string_rotation + + ''' + from sympy.functions.elementary.miscellaneous import Id + if key is None: key = Id + S = x + x # Concatenate string to it self to avoid modular arithmetic + f = [-1] * len(S) # Failure function + k = 0 # Least rotation of string found so far + for j in range(1,len(S)): + sj = S[j] + i = f[j-k-1] + while i != -1 and sj != S[k+i+1]: + if key(sj) < key(S[k+i+1]): + k = j-i-1 + i = f[i] + if sj != S[k+i+1]: + if key(sj) < key(S[k]): + k = j + f[j-k] = -1 + else: + f[j-k] = i+1 + return k + + +def multiset_combinations(m, n, g=None): + """ + Return the unique combinations of size ``n`` from multiset ``m``. + + Examples + ======== + + >>> from sympy.utilities.iterables import multiset_combinations + >>> from itertools import combinations + >>> [''.join(i) for i in multiset_combinations('baby', 3)] + ['abb', 'aby', 'bby'] + + >>> def count(f, s): return len(list(f(s, 3))) + + The number of combinations depends on the number of letters; the + number of unique combinations depends on how the letters are + repeated. + + >>> s1 = 'abracadabra' + >>> s2 = 'banana tree' + >>> count(combinations, s1), count(multiset_combinations, s1) + (165, 23) + >>> count(combinations, s2), count(multiset_combinations, s2) + (165, 54) + + """ + from sympy.core.sorting import ordered + if g is None: + if isinstance(m, dict): + if any(as_int(v) < 0 for v in m.values()): + raise ValueError('counts cannot be negative') + N = sum(m.values()) + if n > N: + return + g = [[k, m[k]] for k in ordered(m)] + else: + m = list(m) + N = len(m) + if n > N: + return + try: + m = multiset(m) + g = [(k, m[k]) for k in ordered(m)] + except TypeError: + m = list(ordered(m)) + g = [list(i) for i in group(m, multiple=False)] + del m + else: + # not checking counts since g is intended for internal use + N = sum(v for k, v in g) + if n > N or not n: + yield [] + else: + for i, (k, v) in enumerate(g): + if v >= n: + yield [k]*n + v = n - 1 + for v in range(min(n, v), 0, -1): + for j in multiset_combinations(None, n - v, g[i + 1:]): + rv = [k]*v + j + if len(rv) == n: + yield rv + +def multiset_permutations(m, size=None, g=None): + """ + Return the unique permutations of multiset ``m``. + + Examples + ======== + + >>> from sympy.utilities.iterables import multiset_permutations + >>> from sympy import factorial + >>> [''.join(i) for i in multiset_permutations('aab')] + ['aab', 'aba', 'baa'] + >>> factorial(len('banana')) + 720 + >>> len(list(multiset_permutations('banana'))) + 60 + """ + from sympy.core.sorting import ordered + if g is None: + if isinstance(m, dict): + if any(as_int(v) < 0 for v in m.values()): + raise ValueError('counts cannot be negative') + g = [[k, m[k]] for k in ordered(m)] + else: + m = list(ordered(m)) + g = [list(i) for i in group(m, multiple=False)] + del m + do = [gi for gi in g if gi[1] > 0] + SUM = sum(gi[1] for gi in do) + if not do or size is not None and (size > SUM or size < 1): + if not do and size is None or size == 0: + yield [] + return + elif size == 1: + for k, v in do: + yield [k] + elif len(do) == 1: + k, v = do[0] + v = v if size is None else (size if size <= v else 0) + yield [k for i in range(v)] + elif all(v == 1 for k, v in do): + for p in permutations([k for k, v in do], size): + yield list(p) + else: + size = size if size is not None else SUM + for i, (k, v) in enumerate(do): + do[i][1] -= 1 + for j in multiset_permutations(None, size - 1, do): + if j: + yield [k] + j + do[i][1] += 1 + + +def _partition(seq, vector, m=None): + """ + Return the partition of seq as specified by the partition vector. + + Examples + ======== + + >>> from sympy.utilities.iterables import _partition + >>> _partition('abcde', [1, 0, 1, 2, 0]) + [['b', 'e'], ['a', 'c'], ['d']] + + Specifying the number of bins in the partition is optional: + + >>> _partition('abcde', [1, 0, 1, 2, 0], 3) + [['b', 'e'], ['a', 'c'], ['d']] + + The output of _set_partitions can be passed as follows: + + >>> output = (3, [1, 0, 1, 2, 0]) + >>> _partition('abcde', *output) + [['b', 'e'], ['a', 'c'], ['d']] + + See Also + ======== + + combinatorics.partitions.Partition.from_rgs + + """ + if m is None: + m = max(vector) + 1 + elif isinstance(vector, int): # entered as m, vector + vector, m = m, vector + p = [[] for i in range(m)] + for i, v in enumerate(vector): + p[v].append(seq[i]) + return p + + +def _set_partitions(n): + """Cycle through all partitions of n elements, yielding the + current number of partitions, ``m``, and a mutable list, ``q`` + such that ``element[i]`` is in part ``q[i]`` of the partition. + + NOTE: ``q`` is modified in place and generally should not be changed + between function calls. + + Examples + ======== + + >>> from sympy.utilities.iterables import _set_partitions, _partition + >>> for m, q in _set_partitions(3): + ... print('%s %s %s' % (m, q, _partition('abc', q, m))) + 1 [0, 0, 0] [['a', 'b', 'c']] + 2 [0, 0, 1] [['a', 'b'], ['c']] + 2 [0, 1, 0] [['a', 'c'], ['b']] + 2 [0, 1, 1] [['a'], ['b', 'c']] + 3 [0, 1, 2] [['a'], ['b'], ['c']] + + Notes + ===== + + This algorithm is similar to, and solves the same problem as, + Algorithm 7.2.1.5H, from volume 4A of Knuth's The Art of Computer + Programming. Knuth uses the term "restricted growth string" where + this code refers to a "partition vector". In each case, the meaning is + the same: the value in the ith element of the vector specifies to + which part the ith set element is to be assigned. + + At the lowest level, this code implements an n-digit big-endian + counter (stored in the array q) which is incremented (with carries) to + get the next partition in the sequence. A special twist is that a + digit is constrained to be at most one greater than the maximum of all + the digits to the left of it. The array p maintains this maximum, so + that the code can efficiently decide when a digit can be incremented + in place or whether it needs to be reset to 0 and trigger a carry to + the next digit. The enumeration starts with all the digits 0 (which + corresponds to all the set elements being assigned to the same 0th + part), and ends with 0123...n, which corresponds to each set element + being assigned to a different, singleton, part. + + This routine was rewritten to use 0-based lists while trying to + preserve the beauty and efficiency of the original algorithm. + + References + ========== + + .. [1] Nijenhuis, Albert and Wilf, Herbert. (1978) Combinatorial Algorithms, + 2nd Ed, p 91, algorithm "nexequ". Available online from + https://www.math.upenn.edu/~wilf/website/CombAlgDownld.html (viewed + November 17, 2012). + + """ + p = [0]*n + q = [0]*n + nc = 1 + yield nc, q + while nc != n: + m = n + while 1: + m -= 1 + i = q[m] + if p[i] != 1: + break + q[m] = 0 + i += 1 + q[m] = i + m += 1 + nc += m - n + p[0] += n - m + if i == nc: + p[nc] = 0 + nc += 1 + p[i - 1] -= 1 + p[i] += 1 + yield nc, q + + +def multiset_partitions(multiset, m=None): + """ + Return unique partitions of the given multiset (in list form). + If ``m`` is None, all multisets will be returned, otherwise only + partitions with ``m`` parts will be returned. + + If ``multiset`` is an integer, a range [0, 1, ..., multiset - 1] + will be supplied. + + Examples + ======== + + >>> from sympy.utilities.iterables import multiset_partitions + >>> list(multiset_partitions([1, 2, 3, 4], 2)) + [[[1, 2, 3], [4]], [[1, 2, 4], [3]], [[1, 2], [3, 4]], + [[1, 3, 4], [2]], [[1, 3], [2, 4]], [[1, 4], [2, 3]], + [[1], [2, 3, 4]]] + >>> list(multiset_partitions([1, 2, 3, 4], 1)) + [[[1, 2, 3, 4]]] + + Only unique partitions are returned and these will be returned in a + canonical order regardless of the order of the input: + + >>> a = [1, 2, 2, 1] + >>> ans = list(multiset_partitions(a, 2)) + >>> a.sort() + >>> list(multiset_partitions(a, 2)) == ans + True + >>> a = range(3, 1, -1) + >>> (list(multiset_partitions(a)) == + ... list(multiset_partitions(sorted(a)))) + True + + If m is omitted then all partitions will be returned: + + >>> list(multiset_partitions([1, 1, 2])) + [[[1, 1, 2]], [[1, 1], [2]], [[1, 2], [1]], [[1], [1], [2]]] + >>> list(multiset_partitions([1]*3)) + [[[1, 1, 1]], [[1], [1, 1]], [[1], [1], [1]]] + + Counting + ======== + + The number of partitions of a set is given by the bell number: + + >>> from sympy import bell + >>> len(list(multiset_partitions(5))) == bell(5) == 52 + True + + The number of partitions of length k from a set of size n is given by the + Stirling Number of the 2nd kind: + + >>> from sympy.functions.combinatorial.numbers import stirling + >>> stirling(5, 2) == len(list(multiset_partitions(5, 2))) == 15 + True + + These comments on counting apply to *sets*, not multisets. + + Notes + ===== + + When all the elements are the same in the multiset, the order + of the returned partitions is determined by the ``partitions`` + routine. If one is counting partitions then it is better to use + the ``nT`` function. + + See Also + ======== + + partitions + sympy.combinatorics.partitions.Partition + sympy.combinatorics.partitions.IntegerPartition + sympy.functions.combinatorial.numbers.nT + + """ + # This function looks at the supplied input and dispatches to + # several special-case routines as they apply. + if isinstance(multiset, int): + n = multiset + if m and m > n: + return + multiset = list(range(n)) + if m == 1: + yield [multiset[:]] + return + + # If m is not None, it can sometimes be faster to use + # MultisetPartitionTraverser.enum_range() even for inputs + # which are sets. Since the _set_partitions code is quite + # fast, this is only advantageous when the overall set + # partitions outnumber those with the desired number of parts + # by a large factor. (At least 60.) Such a switch is not + # currently implemented. + for nc, q in _set_partitions(n): + if m is None or nc == m: + rv = [[] for i in range(nc)] + for i in range(n): + rv[q[i]].append(multiset[i]) + yield rv + return + + if len(multiset) == 1 and isinstance(multiset, str): + multiset = [multiset] + + if not has_variety(multiset): + # Only one component, repeated n times. The resulting + # partitions correspond to partitions of integer n. + n = len(multiset) + if m and m > n: + return + if m == 1: + yield [multiset[:]] + return + x = multiset[:1] + for size, p in partitions(n, m, size=True): + if m is None or size == m: + rv = [] + for k in sorted(p): + rv.extend([x*k]*p[k]) + yield rv + else: + from sympy.core.sorting import ordered + multiset = list(ordered(multiset)) + n = len(multiset) + if m and m > n: + return + if m == 1: + yield [multiset[:]] + return + + # Split the information of the multiset into two lists - + # one of the elements themselves, and one (of the same length) + # giving the number of repeats for the corresponding element. + elements, multiplicities = zip(*group(multiset, False)) + + if len(elements) < len(multiset): + # General case - multiset with more than one distinct element + # and at least one element repeated more than once. + if m: + mpt = MultisetPartitionTraverser() + for state in mpt.enum_range(multiplicities, m-1, m): + yield list_visitor(state, elements) + else: + for state in multiset_partitions_taocp(multiplicities): + yield list_visitor(state, elements) + else: + # Set partitions case - no repeated elements. Pretty much + # same as int argument case above, with same possible, but + # currently unimplemented optimization for some cases when + # m is not None + for nc, q in _set_partitions(n): + if m is None or nc == m: + rv = [[] for i in range(nc)] + for i in range(n): + rv[q[i]].append(i) + yield [[multiset[j] for j in i] for i in rv] + + +def partitions(n, m=None, k=None, size=False): + """Generate all partitions of positive integer, n. + + Each partition is represented as a dictionary, mapping an integer + to the number of copies of that integer in the partition. For example, + the first partition of 4 returned is {4: 1}, "4: one of them". + + Parameters + ========== + n : int + m : int, optional + limits number of parts in partition (mnemonic: m, maximum parts) + k : int, optional + limits the numbers that are kept in the partition (mnemonic: k, keys) + size : bool, default: False + If ``True``, (M, P) is returned where M is the sum of the + multiplicities and P is the generated partition. + If ``False``, only the generated partition is returned. + + Examples + ======== + + >>> from sympy.utilities.iterables import partitions + + The numbers appearing in the partition (the key of the returned dict) + are limited with k: + + >>> for p in partitions(6, k=2): # doctest: +SKIP + ... print(p) + {2: 3} + {1: 2, 2: 2} + {1: 4, 2: 1} + {1: 6} + + The maximum number of parts in the partition (the sum of the values in + the returned dict) are limited with m (default value, None, gives + partitions from 1 through n): + + >>> for p in partitions(6, m=2): # doctest: +SKIP + ... print(p) + ... + {6: 1} + {1: 1, 5: 1} + {2: 1, 4: 1} + {3: 2} + + References + ========== + + .. [1] modified from Tim Peter's version to allow for k and m values: + https://code.activestate.com/recipes/218332-generator-for-integer-partitions/ + + See Also + ======== + + sympy.combinatorics.partitions.Partition + sympy.combinatorics.partitions.IntegerPartition + + """ + if (n <= 0 or + m is not None and m < 1 or + k is not None and k < 1 or + m and k and m*k < n): + # the empty set is the only way to handle these inputs + # and returning {} to represent it is consistent with + # the counting convention, e.g. nT(0) == 1. + if size: + yield 0, {} + else: + yield {} + return + + if m is None: + m = n + else: + m = min(m, n) + k = min(k or n, n) + + n, m, k = as_int(n), as_int(m), as_int(k) + q, r = divmod(n, k) + ms = {k: q} + keys = [k] # ms.keys(), from largest to smallest + if r: + ms[r] = 1 + keys.append(r) + room = m - q - bool(r) + if size: + yield sum(ms.values()), ms.copy() + else: + yield ms.copy() + + while keys != [1]: + # Reuse any 1's. + if keys[-1] == 1: + del keys[-1] + reuse = ms.pop(1) + room += reuse + else: + reuse = 0 + + while 1: + # Let i be the smallest key larger than 1. Reuse one + # instance of i. + i = keys[-1] + newcount = ms[i] = ms[i] - 1 + reuse += i + if newcount == 0: + del keys[-1], ms[i] + room += 1 + + # Break the remainder into pieces of size i-1. + i -= 1 + q, r = divmod(reuse, i) + need = q + bool(r) + if need > room: + if not keys: + return + continue + + ms[i] = q + keys.append(i) + if r: + ms[r] = 1 + keys.append(r) + break + room -= need + if size: + yield sum(ms.values()), ms.copy() + else: + yield ms.copy() + + +def ordered_partitions(n, m=None, sort=True): + """Generates ordered partitions of integer *n*. + + Parameters + ========== + n : int + m : int, optional + The default value gives partitions of all sizes else only + those with size m. In addition, if *m* is not None then + partitions are generated *in place* (see examples). + sort : bool, default: True + Controls whether partitions are + returned in sorted order when *m* is not None; when False, + the partitions are returned as fast as possible with elements + sorted, but when m|n the partitions will not be in + ascending lexicographical order. + + Examples + ======== + + >>> from sympy.utilities.iterables import ordered_partitions + + All partitions of 5 in ascending lexicographical: + + >>> for p in ordered_partitions(5): + ... print(p) + [1, 1, 1, 1, 1] + [1, 1, 1, 2] + [1, 1, 3] + [1, 2, 2] + [1, 4] + [2, 3] + [5] + + Only partitions of 5 with two parts: + + >>> for p in ordered_partitions(5, 2): + ... print(p) + [1, 4] + [2, 3] + + When ``m`` is given, a given list objects will be used more than + once for speed reasons so you will not see the correct partitions + unless you make a copy of each as it is generated: + + >>> [p for p in ordered_partitions(7, 3)] + [[1, 1, 1], [1, 1, 1], [1, 1, 1], [2, 2, 2]] + >>> [list(p) for p in ordered_partitions(7, 3)] + [[1, 1, 5], [1, 2, 4], [1, 3, 3], [2, 2, 3]] + + When ``n`` is a multiple of ``m``, the elements are still sorted + but the partitions themselves will be *unordered* if sort is False; + the default is to return them in ascending lexicographical order. + + >>> for p in ordered_partitions(6, 2): + ... print(p) + [1, 5] + [2, 4] + [3, 3] + + But if speed is more important than ordering, sort can be set to + False: + + >>> for p in ordered_partitions(6, 2, sort=False): + ... print(p) + [1, 5] + [3, 3] + [2, 4] + + References + ========== + + .. [1] Generating Integer Partitions, [online], + Available: https://jeromekelleher.net/generating-integer-partitions.html + .. [2] Jerome Kelleher and Barry O'Sullivan, "Generating All + Partitions: A Comparison Of Two Encodings", [online], + Available: https://arxiv.org/pdf/0909.2331v2.pdf + """ + if n < 1 or m is not None and m < 1: + # the empty set is the only way to handle these inputs + # and returning {} to represent it is consistent with + # the counting convention, e.g. nT(0) == 1. + yield [] + return + + if m is None: + # The list `a`'s leading elements contain the partition in which + # y is the biggest element and x is either the same as y or the + # 2nd largest element; v and w are adjacent element indices + # to which x and y are being assigned, respectively. + a = [1]*n + y = -1 + v = n + while v > 0: + v -= 1 + x = a[v] + 1 + while y >= 2 * x: + a[v] = x + y -= x + v += 1 + w = v + 1 + while x <= y: + a[v] = x + a[w] = y + yield a[:w + 1] + x += 1 + y -= 1 + a[v] = x + y + y = a[v] - 1 + yield a[:w] + elif m == 1: + yield [n] + elif n == m: + yield [1]*n + else: + # recursively generate partitions of size m + for b in range(1, n//m + 1): + a = [b]*m + x = n - b*m + if not x: + if sort: + yield a + elif not sort and x <= m: + for ax in ordered_partitions(x, sort=False): + mi = len(ax) + a[-mi:] = [i + b for i in ax] + yield a + a[-mi:] = [b]*mi + else: + for mi in range(1, m): + for ax in ordered_partitions(x, mi, sort=True): + a[-mi:] = [i + b for i in ax] + yield a + a[-mi:] = [b]*mi + + +def binary_partitions(n): + """ + Generates the binary partition of *n*. + + A binary partition consists only of numbers that are + powers of two. Each step reduces a `2^{k+1}` to `2^k` and + `2^k`. Thus 16 is converted to 8 and 8. + + Examples + ======== + + >>> from sympy.utilities.iterables import binary_partitions + >>> for i in binary_partitions(5): + ... print(i) + ... + [4, 1] + [2, 2, 1] + [2, 1, 1, 1] + [1, 1, 1, 1, 1] + + References + ========== + + .. [1] TAOCP 4, section 7.2.1.5, problem 64 + + """ + from math import ceil, log2 + power = int(2**(ceil(log2(n)))) + acc = 0 + partition = [] + while power: + if acc + power <= n: + partition.append(power) + acc += power + power >>= 1 + + last_num = len(partition) - 1 - (n & 1) + while last_num >= 0: + yield partition + if partition[last_num] == 2: + partition[last_num] = 1 + partition.append(1) + last_num -= 1 + continue + partition.append(1) + partition[last_num] >>= 1 + x = partition[last_num + 1] = partition[last_num] + last_num += 1 + while x > 1: + if x <= len(partition) - last_num - 1: + del partition[-x + 1:] + last_num += 1 + partition[last_num] = x + else: + x >>= 1 + yield [1]*n + + +def has_dups(seq): + """Return True if there are any duplicate elements in ``seq``. + + Examples + ======== + + >>> from sympy import has_dups, Dict, Set + >>> has_dups((1, 2, 1)) + True + >>> has_dups(range(3)) + False + >>> all(has_dups(c) is False for c in (set(), Set(), dict(), Dict())) + True + """ + from sympy.core.containers import Dict + from sympy.sets.sets import Set + if isinstance(seq, (dict, set, Dict, Set)): + return False + unique = set() + try: + return any(True for s in seq if s in unique or unique.add(s)) + except TypeError: + return len(seq) != len(list(uniq(seq))) + + +def has_variety(seq): + """Return True if there are any different elements in ``seq``. + + Examples + ======== + + >>> from sympy import has_variety + + >>> has_variety((1, 2, 1)) + True + >>> has_variety((1, 1, 1)) + False + """ + for i, s in enumerate(seq): + if i == 0: + sentinel = s + else: + if s != sentinel: + return True + return False + + +def uniq(seq, result=None): + """ + Yield unique elements from ``seq`` as an iterator. The second + parameter ``result`` is used internally; it is not necessary + to pass anything for this. + + Note: changing the sequence during iteration will raise a + RuntimeError if the size of the sequence is known; if you pass + an iterator and advance the iterator you will change the + output of this routine but there will be no warning. + + Examples + ======== + + >>> from sympy.utilities.iterables import uniq + >>> dat = [1, 4, 1, 5, 4, 2, 1, 2] + >>> type(uniq(dat)) in (list, tuple) + False + + >>> list(uniq(dat)) + [1, 4, 5, 2] + >>> list(uniq(x for x in dat)) + [1, 4, 5, 2] + >>> list(uniq([[1], [2, 1], [1]])) + [[1], [2, 1]] + """ + try: + n = len(seq) + except TypeError: + n = None + def check(): + # check that size of seq did not change during iteration; + # if n == None the object won't support size changing, e.g. + # an iterator can't be changed + if n is not None and len(seq) != n: + raise RuntimeError('sequence changed size during iteration') + try: + seen = set() + result = result or [] + for i, s in enumerate(seq): + if not (s in seen or seen.add(s)): + yield s + check() + except TypeError: + if s not in result: + yield s + check() + result.append(s) + if hasattr(seq, '__getitem__'): + yield from uniq(seq[i + 1:], result) + else: + yield from uniq(seq, result) + + +def generate_bell(n): + """Return permutations of [0, 1, ..., n - 1] such that each permutation + differs from the last by the exchange of a single pair of neighbors. + The ``n!`` permutations are returned as an iterator. In order to obtain + the next permutation from a random starting permutation, use the + ``next_trotterjohnson`` method of the Permutation class (which generates + the same sequence in a different manner). + + Examples + ======== + + >>> from itertools import permutations + >>> from sympy.utilities.iterables import generate_bell + >>> from sympy import zeros, Matrix + + This is the sort of permutation used in the ringing of physical bells, + and does not produce permutations in lexicographical order. Rather, the + permutations differ from each other by exactly one inversion, and the + position at which the swapping occurs varies periodically in a simple + fashion. Consider the first few permutations of 4 elements generated + by ``permutations`` and ``generate_bell``: + + >>> list(permutations(range(4)))[:5] + [(0, 1, 2, 3), (0, 1, 3, 2), (0, 2, 1, 3), (0, 2, 3, 1), (0, 3, 1, 2)] + >>> list(generate_bell(4))[:5] + [(0, 1, 2, 3), (0, 1, 3, 2), (0, 3, 1, 2), (3, 0, 1, 2), (3, 0, 2, 1)] + + Notice how the 2nd and 3rd lexicographical permutations have 3 elements + out of place whereas each "bell" permutation always has only two + elements out of place relative to the previous permutation (and so the + signature (+/-1) of a permutation is opposite of the signature of the + previous permutation). + + How the position of inversion varies across the elements can be seen + by tracing out where the largest number appears in the permutations: + + >>> m = zeros(4, 24) + >>> for i, p in enumerate(generate_bell(4)): + ... m[:, i] = Matrix([j - 3 for j in list(p)]) # make largest zero + >>> m.print_nonzero('X') + [XXX XXXXXX XXXXXX XXX] + [XX XX XXXX XX XXXX XX XX] + [X XXXX XX XXXX XX XXXX X] + [ XXXXXX XXXXXX XXXXXX ] + + See Also + ======== + + sympy.combinatorics.permutations.Permutation.next_trotterjohnson + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Method_ringing + + .. [2] https://stackoverflow.com/questions/4856615/recursive-permutation/4857018 + + .. [3] https://web.archive.org/web/20160313023044/http://programminggeeks.com/bell-algorithm-for-permutation/ + + .. [4] https://en.wikipedia.org/wiki/Steinhaus%E2%80%93Johnson%E2%80%93Trotter_algorithm + + .. [5] Generating involutions, derangements, and relatives by ECO + Vincent Vajnovszki, DMTCS vol 1 issue 12, 2010 + + """ + n = as_int(n) + if n < 1: + raise ValueError('n must be a positive integer') + if n == 1: + yield (0,) + elif n == 2: + yield (0, 1) + yield (1, 0) + elif n == 3: + yield from [(0, 1, 2), (0, 2, 1), (2, 0, 1), (2, 1, 0), (1, 2, 0), (1, 0, 2)] + else: + m = n - 1 + op = [0] + [-1]*m + l = list(range(n)) + while True: + yield tuple(l) + # find biggest element with op + big = None, -1 # idx, value + for i in range(n): + if op[i] and l[i] > big[1]: + big = i, l[i] + i, _ = big + if i is None: + break # there are no ops left + # swap it with neighbor in the indicated direction + j = i + op[i] + l[i], l[j] = l[j], l[i] + op[i], op[j] = op[j], op[i] + # if it landed at the end or if the neighbor in the same + # direction is bigger then turn off op + if j == 0 or j == m or l[j + op[j]] > l[j]: + op[j] = 0 + # any element bigger to the left gets +1 op + for i in range(j): + if l[i] > l[j]: + op[i] = 1 + # any element bigger to the right gets -1 op + for i in range(j + 1, n): + if l[i] > l[j]: + op[i] = -1 + + +def generate_involutions(n): + """ + Generates involutions. + + An involution is a permutation that when multiplied + by itself equals the identity permutation. In this + implementation the involutions are generated using + Fixed Points. + + Alternatively, an involution can be considered as + a permutation that does not contain any cycles with + a length that is greater than two. + + Examples + ======== + + >>> from sympy.utilities.iterables import generate_involutions + >>> list(generate_involutions(3)) + [(0, 1, 2), (0, 2, 1), (1, 0, 2), (2, 1, 0)] + >>> len(list(generate_involutions(4))) + 10 + + References + ========== + + .. [1] https://mathworld.wolfram.com/PermutationInvolution.html + + """ + idx = list(range(n)) + for p in permutations(idx): + for i in idx: + if p[p[i]] != i: + break + else: + yield p + + +def multiset_derangements(s): + """Generate derangements of the elements of s *in place*. + + Examples + ======== + + >>> from sympy.utilities.iterables import multiset_derangements, uniq + + Because the derangements of multisets (not sets) are generated + in place, copies of the return value must be made if a collection + of derangements is desired or else all values will be the same: + + >>> list(uniq([i for i in multiset_derangements('1233')])) + [[None, None, None, None]] + >>> [i.copy() for i in multiset_derangements('1233')] + [['3', '3', '1', '2'], ['3', '3', '2', '1']] + >>> [''.join(i) for i in multiset_derangements('1233')] + ['3312', '3321'] + """ + from sympy.core.sorting import ordered + # create multiset dictionary of hashable elements or else + # remap elements to integers + try: + ms = multiset(s) + except TypeError: + # give each element a canonical integer value + key = dict(enumerate(ordered(uniq(s)))) + h = [] + for si in s: + for k in key: + if key[k] == si: + h.append(k) + break + for i in multiset_derangements(h): + yield [key[j] for j in i] + return + + mx = max(ms.values()) # max repetition of any element + n = len(s) # the number of elements + + ## special cases + + # 1) one element has more than half the total cardinality of s: no + # derangements are possible. + if mx*2 > n: + return + + # 2) all elements appear once: singletons + if len(ms) == n: + yield from _set_derangements(s) + return + + # find the first element that is repeated the most to place + # in the following two special cases where the selection + # is unambiguous: either there are two elements with multiplicity + # of mx or else there is only one with multiplicity mx + for M in ms: + if ms[M] == mx: + break + + inonM = [i for i in range(n) if s[i] != M] # location of non-M + iM = [i for i in range(n) if s[i] == M] # locations of M + rv = [None]*n + + # 3) half are the same + if 2*mx == n: + # M goes into non-M locations + for i in inonM: + rv[i] = M + # permutations of non-M go to M locations + for p in multiset_permutations([s[i] for i in inonM]): + for i, pi in zip(iM, p): + rv[i] = pi + yield rv + # clean-up (and encourages proper use of routine) + rv[:] = [None]*n + return + + # 4) single repeat covers all but 1 of the non-repeats: + # if there is one repeat then the multiset of the values + # of ms would be {mx: 1, 1: n - mx}, i.e. there would + # be n - mx + 1 values with the condition that n - 2*mx = 1 + if n - 2*mx == 1 and len(ms.values()) == n - mx + 1: + for i, i1 in enumerate(inonM): + ifill = inonM[:i] + inonM[i+1:] + for j in ifill: + rv[j] = M + for p in permutations([s[j] for j in ifill]): + rv[i1] = s[i1] + for j, pi in zip(iM, p): + rv[j] = pi + k = i1 + for j in iM: + rv[j], rv[k] = rv[k], rv[j] + yield rv + k = j + # clean-up (and encourages proper use of routine) + rv[:] = [None]*n + return + + ## general case is handled with 3 helpers: + # 1) `finish_derangements` will place the last two elements + # which have arbitrary multiplicities, e.g. for multiset + # {c: 3, a: 2, b: 2}, the last two elements are a and b + # 2) `iopen` will tell where a given element can be placed + # 3) `do` will recursively place elements into subsets of + # valid locations + + def finish_derangements(): + """Place the last two elements into the partially completed + derangement, and yield the results. + """ + + a = take[1][0] # penultimate element + a_ct = take[1][1] + b = take[0][0] # last element to be placed + b_ct = take[0][1] + + # split the indexes of the not-already-assigned elements of rv into + # three categories + forced_a = [] # positions which must have an a + forced_b = [] # positions which must have a b + open_free = [] # positions which could take either + for i in range(len(s)): + if rv[i] is None: + if s[i] == a: + forced_b.append(i) + elif s[i] == b: + forced_a.append(i) + else: + open_free.append(i) + + if len(forced_a) > a_ct or len(forced_b) > b_ct: + # No derangement possible + return + + for i in forced_a: + rv[i] = a + for i in forced_b: + rv[i] = b + for a_place in combinations(open_free, a_ct - len(forced_a)): + for a_pos in a_place: + rv[a_pos] = a + for i in open_free: + if rv[i] is None: # anything not in the subset is set to b + rv[i] = b + yield rv + # Clean up/undo the final placements + for i in open_free: + rv[i] = None + + # additional cleanup - clear forced_a, forced_b + for i in forced_a: + rv[i] = None + for i in forced_b: + rv[i] = None + + def iopen(v): + # return indices at which element v can be placed in rv: + # locations which are not already occupied if that location + # does not already contain v in the same location of s + return [i for i in range(n) if rv[i] is None and s[i] != v] + + def do(j): + if j == 1: + # handle the last two elements (regardless of multiplicity) + # with a special method + yield from finish_derangements() + else: + # place the mx elements of M into a subset of places + # into which it can be replaced + M, mx = take[j] + for i in combinations(iopen(M), mx): + # place M + for ii in i: + rv[ii] = M + # recursively place the next element + yield from do(j - 1) + # mark positions where M was placed as once again + # open for placement of other elements + for ii in i: + rv[ii] = None + + # process elements in order of canonically decreasing multiplicity + take = sorted(ms.items(), key=lambda x:(x[1], x[0])) + yield from do(len(take) - 1) + rv[:] = [None]*n + + +def random_derangement(t, choice=None, strict=True): + """Return a list of elements in which none are in the same positions + as they were originally. If an element fills more than half of the positions + then an error will be raised since no derangement is possible. To obtain + a derangement of as many items as possible--with some of the most numerous + remaining in their original positions--pass `strict=False`. To produce a + pseudorandom derangment, pass a pseudorandom selector like `choice` (see + below). + + Examples + ======== + + >>> from sympy.utilities.iterables import random_derangement + >>> t = 'SymPy: a CAS in pure Python' + >>> d = random_derangement(t) + >>> all(i != j for i, j in zip(d, t)) + True + + A predictable result can be obtained by using a pseudorandom + generator for the choice: + + >>> from sympy.core.random import seed, choice as c + >>> seed(1) + >>> d = [''.join(random_derangement(t, c)) for i in range(5)] + >>> assert len(set(d)) != 1 # we got different values + + By reseeding, the same sequence can be obtained: + + >>> seed(1) + >>> d2 = [''.join(random_derangement(t, c)) for i in range(5)] + >>> assert d == d2 + """ + if choice is None: + import secrets + choice = secrets.choice + def shuffle(rv): + '''Knuth shuffle''' + for i in range(len(rv) - 1, 0, -1): + x = choice(rv[:i + 1]) + j = rv.index(x) + rv[i], rv[j] = rv[j], rv[i] + def pick(rv, n): + '''shuffle rv and return the first n values + ''' + shuffle(rv) + return rv[:n] + ms = multiset(t) + tot = len(t) + ms = sorted(ms.items(), key=lambda x: x[1]) + # if there are not enough spaces for the most + # plentiful element to move to then some of them + # will have to stay in place + M, mx = ms[-1] + n = len(t) + xs = 2*mx - tot + if xs > 0: + if strict: + raise ValueError('no derangement possible') + opts = [i for (i, c) in enumerate(t) if c == ms[-1][0]] + pick(opts, xs) + stay = sorted(opts[:xs]) + rv = list(t) + for i in reversed(stay): + rv.pop(i) + rv = random_derangement(rv, choice) + for i in stay: + rv.insert(i, ms[-1][0]) + return ''.join(rv) if type(t) is str else rv + # the normal derangement calculated from here + if n == len(ms): + # approx 1/3 will succeed + rv = list(t) + while True: + shuffle(rv) + if all(i != j for i,j in zip(rv, t)): + break + else: + # general case + rv = [None]*n + while True: + j = 0 + while j > -len(ms): # do most numerous first + j -= 1 + e, c = ms[j] + opts = [i for i in range(n) if rv[i] is None and t[i] != e] + if len(opts) < c: + for i in range(n): + rv[i] = None + break # try again + pick(opts, c) + for i in range(c): + rv[opts[i]] = e + else: + return rv + return rv + + +def _set_derangements(s): + """ + yield derangements of items in ``s`` which are assumed to contain + no repeated elements + """ + if len(s) < 2: + return + if len(s) == 2: + yield [s[1], s[0]] + return + if len(s) == 3: + yield [s[1], s[2], s[0]] + yield [s[2], s[0], s[1]] + return + for p in permutations(s): + if not any(i == j for i, j in zip(p, s)): + yield list(p) + + +def generate_derangements(s): + """ + Return unique derangements of the elements of iterable ``s``. + + Examples + ======== + + >>> from sympy.utilities.iterables import generate_derangements + >>> list(generate_derangements([0, 1, 2])) + [[1, 2, 0], [2, 0, 1]] + >>> list(generate_derangements([0, 1, 2, 2])) + [[2, 2, 0, 1], [2, 2, 1, 0]] + >>> list(generate_derangements([0, 1, 1])) + [] + + See Also + ======== + + sympy.functions.combinatorial.factorials.subfactorial + + """ + if not has_dups(s): + yield from _set_derangements(s) + else: + for p in multiset_derangements(s): + yield list(p) + + +def necklaces(n, k, free=False): + """ + A routine to generate necklaces that may (free=True) or may not + (free=False) be turned over to be viewed. The "necklaces" returned + are comprised of ``n`` integers (beads) with ``k`` different + values (colors). Only unique necklaces are returned. + + Examples + ======== + + >>> from sympy.utilities.iterables import necklaces, bracelets + >>> def show(s, i): + ... return ''.join(s[j] for j in i) + + The "unrestricted necklace" is sometimes also referred to as a + "bracelet" (an object that can be turned over, a sequence that can + be reversed) and the term "necklace" is used to imply a sequence + that cannot be reversed. So ACB == ABC for a bracelet (rotate and + reverse) while the two are different for a necklace since rotation + alone cannot make the two sequences the same. + + (mnemonic: Bracelets can be viewed Backwards, but Not Necklaces.) + + >>> B = [show('ABC', i) for i in bracelets(3, 3)] + >>> N = [show('ABC', i) for i in necklaces(3, 3)] + >>> set(N) - set(B) + {'ACB'} + + >>> list(necklaces(4, 2)) + [(0, 0, 0, 0), (0, 0, 0, 1), (0, 0, 1, 1), + (0, 1, 0, 1), (0, 1, 1, 1), (1, 1, 1, 1)] + + >>> [show('.o', i) for i in bracelets(4, 2)] + ['....', '...o', '..oo', '.o.o', '.ooo', 'oooo'] + + References + ========== + + .. [1] https://mathworld.wolfram.com/Necklace.html + + .. [2] Frank Ruskey, Carla Savage, and Terry Min Yih Wang, + Generating necklaces, Journal of Algorithms 13 (1992), 414-430; + https://doi.org/10.1016/0196-6774(92)90047-G + + """ + # The FKM algorithm + if k == 0 and n > 0: + return + a = [0]*n + yield tuple(a) + if n == 0: + return + while True: + i = n - 1 + while a[i] == k - 1: + i -= 1 + if i == -1: + return + a[i] += 1 + for j in range(n - i - 1): + a[j + i + 1] = a[j] + if n % (i + 1) == 0 and (not free or all(a <= a[j::-1] + a[-1:j:-1] for j in range(n - 1))): + # No need to test j = n - 1. + yield tuple(a) + + +def bracelets(n, k): + """Wrapper to necklaces to return a free (unrestricted) necklace.""" + return necklaces(n, k, free=True) + + +def generate_oriented_forest(n): + """ + This algorithm generates oriented forests. + + An oriented graph is a directed graph having no symmetric pair of directed + edges. A forest is an acyclic graph, i.e., it has no cycles. A forest can + also be described as a disjoint union of trees, which are graphs in which + any two vertices are connected by exactly one simple path. + + Examples + ======== + + >>> from sympy.utilities.iterables import generate_oriented_forest + >>> list(generate_oriented_forest(4)) + [[0, 1, 2, 3], [0, 1, 2, 2], [0, 1, 2, 1], [0, 1, 2, 0], \ + [0, 1, 1, 1], [0, 1, 1, 0], [0, 1, 0, 1], [0, 1, 0, 0], [0, 0, 0, 0]] + + References + ========== + + .. [1] T. Beyer and S.M. Hedetniemi: constant time generation of + rooted trees, SIAM J. Computing Vol. 9, No. 4, November 1980 + + .. [2] https://stackoverflow.com/questions/1633833/oriented-forest-taocp-algorithm-in-python + + """ + P = list(range(-1, n)) + while True: + yield P[1:] + if P[n] > 0: + P[n] = P[P[n]] + else: + for p in range(n - 1, 0, -1): + if P[p] != 0: + target = P[p] - 1 + for q in range(p - 1, 0, -1): + if P[q] == target: + break + offset = p - q + for i in range(p, n + 1): + P[i] = P[i - offset] + break + else: + break + + +def minlex(seq, directed=True, key=None): + r""" + Return the rotation of the sequence in which the lexically smallest + elements appear first, e.g. `cba \rightarrow acb`. + + The sequence returned is a tuple, unless the input sequence is a string + in which case a string is returned. + + If ``directed`` is False then the smaller of the sequence and the + reversed sequence is returned, e.g. `cba \rightarrow abc`. + + If ``key`` is not None then it is used to extract a comparison key from each element in iterable. + + Examples + ======== + + >>> from sympy.combinatorics.polyhedron import minlex + >>> minlex((1, 2, 0)) + (0, 1, 2) + >>> minlex((1, 0, 2)) + (0, 2, 1) + >>> minlex((1, 0, 2), directed=False) + (0, 1, 2) + + >>> minlex('11010011000', directed=True) + '00011010011' + >>> minlex('11010011000', directed=False) + '00011001011' + + >>> minlex(('bb', 'aaa', 'c', 'a')) + ('a', 'bb', 'aaa', 'c') + >>> minlex(('bb', 'aaa', 'c', 'a'), key=len) + ('c', 'a', 'bb', 'aaa') + + """ + from sympy.functions.elementary.miscellaneous import Id + if key is None: key = Id + best = rotate_left(seq, least_rotation(seq, key=key)) + if not directed: + rseq = seq[::-1] + rbest = rotate_left(rseq, least_rotation(rseq, key=key)) + best = min(best, rbest, key=key) + + # Convert to tuple, unless we started with a string. + return tuple(best) if not isinstance(seq, str) else best + + +def runs(seq, op=gt): + """Group the sequence into lists in which successive elements + all compare the same with the comparison operator, ``op``: + op(seq[i + 1], seq[i]) is True from all elements in a run. + + Examples + ======== + + >>> from sympy.utilities.iterables import runs + >>> from operator import ge + >>> runs([0, 1, 2, 2, 1, 4, 3, 2, 2]) + [[0, 1, 2], [2], [1, 4], [3], [2], [2]] + >>> runs([0, 1, 2, 2, 1, 4, 3, 2, 2], op=ge) + [[0, 1, 2, 2], [1, 4], [3], [2, 2]] + """ + cycles = [] + seq = iter(seq) + try: + run = [next(seq)] + except StopIteration: + return [] + while True: + try: + ei = next(seq) + except StopIteration: + break + if op(ei, run[-1]): + run.append(ei) + continue + else: + cycles.append(run) + run = [ei] + if run: + cycles.append(run) + return cycles + + +def sequence_partitions(l, n, /): + r"""Returns the partition of sequence $l$ into $n$ bins + + Explanation + =========== + + Given the sequence $l_1 \cdots l_m \in V^+$ where + $V^+$ is the Kleene plus of $V$ + + The set of $n$ partitions of $l$ is defined as: + + .. math:: + \{(s_1, \cdots, s_n) | s_1 \in V^+, \cdots, s_n \in V^+, + s_1 \cdots s_n = l_1 \cdots l_m\} + + Parameters + ========== + + l : Sequence[T] + A nonempty sequence of any Python objects + + n : int + A positive integer + + Yields + ====== + + out : list[Sequence[T]] + A list of sequences with concatenation equals $l$. + This should conform with the type of $l$. + + Examples + ======== + + >>> from sympy.utilities.iterables import sequence_partitions + >>> for out in sequence_partitions([1, 2, 3, 4], 2): + ... print(out) + [[1], [2, 3, 4]] + [[1, 2], [3, 4]] + [[1, 2, 3], [4]] + + Notes + ===== + + This is modified version of EnricoGiampieri's partition generator + from https://stackoverflow.com/questions/13131491/partition-n-items-into-k-bins-in-python-lazily + + See Also + ======== + + sequence_partitions_empty + """ + # Asserting l is nonempty is done only for sanity check + if n == 1 and l: + yield [l] + return + for i in range(1, len(l)): + for part in sequence_partitions(l[i:], n - 1): + yield [l[:i]] + part + + +def sequence_partitions_empty(l, n, /): + r"""Returns the partition of sequence $l$ into $n$ bins with + empty sequence + + Explanation + =========== + + Given the sequence $l_1 \cdots l_m \in V^*$ where + $V^*$ is the Kleene star of $V$ + + The set of $n$ partitions of $l$ is defined as: + + .. math:: + \{(s_1, \cdots, s_n) | s_1 \in V^*, \cdots, s_n \in V^*, + s_1 \cdots s_n = l_1 \cdots l_m\} + + There are more combinations than :func:`sequence_partitions` because + empty sequence can fill everywhere, so we try to provide different + utility for this. + + Parameters + ========== + + l : Sequence[T] + A sequence of any Python objects (can be possibly empty) + + n : int + A positive integer + + Yields + ====== + + out : list[Sequence[T]] + A list of sequences with concatenation equals $l$. + This should conform with the type of $l$. + + Examples + ======== + + >>> from sympy.utilities.iterables import sequence_partitions_empty + >>> for out in sequence_partitions_empty([1, 2, 3, 4], 2): + ... print(out) + [[], [1, 2, 3, 4]] + [[1], [2, 3, 4]] + [[1, 2], [3, 4]] + [[1, 2, 3], [4]] + [[1, 2, 3, 4], []] + + See Also + ======== + + sequence_partitions + """ + if n < 1: + return + if n == 1: + yield [l] + return + for i in range(0, len(l) + 1): + for part in sequence_partitions_empty(l[i:], n - 1): + yield [l[:i]] + part + + +def kbins(l, k, ordered=None): + """ + Return sequence ``l`` partitioned into ``k`` bins. + + Examples + ======== + + The default is to give the items in the same order, but grouped + into k partitions without any reordering: + + >>> from sympy.utilities.iterables import kbins + >>> for p in kbins(list(range(5)), 2): + ... print(p) + ... + [[0], [1, 2, 3, 4]] + [[0, 1], [2, 3, 4]] + [[0, 1, 2], [3, 4]] + [[0, 1, 2, 3], [4]] + + The ``ordered`` flag is either None (to give the simple partition + of the elements) or is a 2 digit integer indicating whether the order of + the bins and the order of the items in the bins matters. Given:: + + A = [[0], [1, 2]] + B = [[1, 2], [0]] + C = [[2, 1], [0]] + D = [[0], [2, 1]] + + the following values for ``ordered`` have the shown meanings:: + + 00 means A == B == C == D + 01 means A == B + 10 means A == D + 11 means A == A + + >>> for ordered_flag in [None, 0, 1, 10, 11]: + ... print('ordered = %s' % ordered_flag) + ... for p in kbins(list(range(3)), 2, ordered=ordered_flag): + ... print(' %s' % p) + ... + ordered = None + [[0], [1, 2]] + [[0, 1], [2]] + ordered = 0 + [[0, 1], [2]] + [[0, 2], [1]] + [[0], [1, 2]] + ordered = 1 + [[0], [1, 2]] + [[0], [2, 1]] + [[1], [0, 2]] + [[1], [2, 0]] + [[2], [0, 1]] + [[2], [1, 0]] + ordered = 10 + [[0, 1], [2]] + [[2], [0, 1]] + [[0, 2], [1]] + [[1], [0, 2]] + [[0], [1, 2]] + [[1, 2], [0]] + ordered = 11 + [[0], [1, 2]] + [[0, 1], [2]] + [[0], [2, 1]] + [[0, 2], [1]] + [[1], [0, 2]] + [[1, 0], [2]] + [[1], [2, 0]] + [[1, 2], [0]] + [[2], [0, 1]] + [[2, 0], [1]] + [[2], [1, 0]] + [[2, 1], [0]] + + See Also + ======== + + partitions, multiset_partitions + + """ + if ordered is None: + yield from sequence_partitions(l, k) + elif ordered == 11: + for pl in multiset_permutations(l): + pl = list(pl) + yield from sequence_partitions(pl, k) + elif ordered == 00: + yield from multiset_partitions(l, k) + elif ordered == 10: + for p in multiset_partitions(l, k): + for perm in permutations(p): + yield list(perm) + elif ordered == 1: + for kgot, p in partitions(len(l), k, size=True): + if kgot != k: + continue + for li in multiset_permutations(l): + rv = [] + i = j = 0 + li = list(li) + for size, multiplicity in sorted(p.items()): + for m in range(multiplicity): + j = i + size + rv.append(li[i: j]) + i = j + yield rv + else: + raise ValueError( + 'ordered must be one of 00, 01, 10 or 11, not %s' % ordered) + + +def permute_signs(t): + """Return iterator in which the signs of non-zero elements + of t are permuted. + + Examples + ======== + + >>> from sympy.utilities.iterables import permute_signs + >>> list(permute_signs((0, 1, 2))) + [(0, 1, 2), (0, -1, 2), (0, 1, -2), (0, -1, -2)] + """ + for signs in product(*[(1, -1)]*(len(t) - t.count(0))): + signs = list(signs) + yield type(t)([i*signs.pop() if i else i for i in t]) + + +def signed_permutations(t): + """Return iterator in which the signs of non-zero elements + of t and the order of the elements are permuted and all + returned values are unique. + + Examples + ======== + + >>> from sympy.utilities.iterables import signed_permutations + >>> list(signed_permutations((0, 1, 2))) + [(0, 1, 2), (0, -1, 2), (0, 1, -2), (0, -1, -2), (0, 2, 1), + (0, -2, 1), (0, 2, -1), (0, -2, -1), (1, 0, 2), (-1, 0, 2), + (1, 0, -2), (-1, 0, -2), (1, 2, 0), (-1, 2, 0), (1, -2, 0), + (-1, -2, 0), (2, 0, 1), (-2, 0, 1), (2, 0, -1), (-2, 0, -1), + (2, 1, 0), (-2, 1, 0), (2, -1, 0), (-2, -1, 0)] + """ + return (type(t)(i) for j in multiset_permutations(t) + for i in permute_signs(j)) + + +def rotations(s, dir=1): + """Return a generator giving the items in s as list where + each subsequent list has the items rotated to the left (default) + or right (``dir=-1``) relative to the previous list. + + Examples + ======== + + >>> from sympy import rotations + >>> list(rotations([1,2,3])) + [[1, 2, 3], [2, 3, 1], [3, 1, 2]] + >>> list(rotations([1,2,3], -1)) + [[1, 2, 3], [3, 1, 2], [2, 3, 1]] + """ + seq = list(s) + for i in range(len(seq)): + yield seq + seq = rotate_left(seq, dir) + + +def roundrobin(*iterables): + """roundrobin recipe taken from itertools documentation: + https://docs.python.org/3/library/itertools.html#itertools-recipes + + roundrobin('ABC', 'D', 'EF') --> A D E B F C + + Recipe credited to George Sakkis + """ + nexts = cycle(iter(it).__next__ for it in iterables) + + pending = len(iterables) + while pending: + try: + for nxt in nexts: + yield nxt() + except StopIteration: + pending -= 1 + nexts = cycle(islice(nexts, pending)) + + + +class NotIterable: + """ + Use this as mixin when creating a class which is not supposed to + return true when iterable() is called on its instances because + calling list() on the instance, for example, would result in + an infinite loop. + """ + pass + + +def iterable(i, exclude=(str, dict, NotIterable)): + """ + Return a boolean indicating whether ``i`` is SymPy iterable. + True also indicates that the iterator is finite, e.g. you can + call list(...) on the instance. + + When SymPy is working with iterables, it is almost always assuming + that the iterable is not a string or a mapping, so those are excluded + by default. If you want a pure Python definition, make exclude=None. To + exclude multiple items, pass them as a tuple. + + You can also set the _iterable attribute to True or False on your class, + which will override the checks here, including the exclude test. + + As a rule of thumb, some SymPy functions use this to check if they should + recursively map over an object. If an object is technically iterable in + the Python sense but does not desire this behavior (e.g., because its + iteration is not finite, or because iteration might induce an unwanted + computation), it should disable it by setting the _iterable attribute to False. + + See also: is_sequence + + Examples + ======== + + >>> from sympy.utilities.iterables import iterable + >>> from sympy import Tuple + >>> things = [[1], (1,), set([1]), Tuple(1), (j for j in [1, 2]), {1:2}, '1', 1] + >>> for i in things: + ... print('%s %s' % (iterable(i), type(i))) + True <... 'list'> + True <... 'tuple'> + True <... 'set'> + True + True <... 'generator'> + False <... 'dict'> + False <... 'str'> + False <... 'int'> + + >>> iterable({}, exclude=None) + True + >>> iterable({}, exclude=str) + True + >>> iterable("no", exclude=str) + False + + """ + if hasattr(i, '_iterable'): + return i._iterable + try: + iter(i) + except TypeError: + return False + if exclude: + return not isinstance(i, exclude) + return True + + +def is_sequence(i, include=None): + """ + Return a boolean indicating whether ``i`` is a sequence in the SymPy + sense. If anything that fails the test below should be included as + being a sequence for your application, set 'include' to that object's + type; multiple types should be passed as a tuple of types. + + Note: although generators can generate a sequence, they often need special + handling to make sure their elements are captured before the generator is + exhausted, so these are not included by default in the definition of a + sequence. + + See also: iterable + + Examples + ======== + + >>> from sympy.utilities.iterables import is_sequence + >>> from types import GeneratorType + >>> is_sequence([]) + True + >>> is_sequence(set()) + False + >>> is_sequence('abc') + False + >>> is_sequence('abc', include=str) + True + >>> generator = (c for c in 'abc') + >>> is_sequence(generator) + False + >>> is_sequence(generator, include=(str, GeneratorType)) + True + + """ + return (hasattr(i, '__getitem__') and + iterable(i) or + bool(include) and + isinstance(i, include)) + + +@deprecated( + """ + Using postorder_traversal from the sympy.utilities.iterables submodule is + deprecated. + + Instead, use postorder_traversal from the top-level sympy namespace, like + + sympy.postorder_traversal + """, + deprecated_since_version="1.10", + active_deprecations_target="deprecated-traversal-functions-moved") +def postorder_traversal(node, keys=None): + from sympy.core.traversal import postorder_traversal as _postorder_traversal + return _postorder_traversal(node, keys=keys) + + +@deprecated( + """ + Using interactive_traversal from the sympy.utilities.iterables submodule + is deprecated. + + Instead, use interactive_traversal from the top-level sympy namespace, + like + + sympy.interactive_traversal + """, + deprecated_since_version="1.10", + active_deprecations_target="deprecated-traversal-functions-moved") +def interactive_traversal(expr): + from sympy.interactive.traversal import interactive_traversal as _interactive_traversal + return _interactive_traversal(expr) + + +@deprecated( + """ + Importing default_sort_key from sympy.utilities.iterables is deprecated. + Use from sympy import default_sort_key instead. + """, + deprecated_since_version="1.10", +active_deprecations_target="deprecated-sympy-core-compatibility", +) +def default_sort_key(*args, **kwargs): + from sympy import default_sort_key as _default_sort_key + return _default_sort_key(*args, **kwargs) + + +@deprecated( + """ + Importing default_sort_key from sympy.utilities.iterables is deprecated. + Use from sympy import default_sort_key instead. + """, + deprecated_since_version="1.10", +active_deprecations_target="deprecated-sympy-core-compatibility", +) +def ordered(*args, **kwargs): + from sympy import ordered as _ordered + return _ordered(*args, **kwargs) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/lambdify.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/lambdify.py new file mode 100644 index 0000000000000000000000000000000000000000..6807fdaec10963a60ba88d6e1ec6b2951c19241e --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/lambdify.py @@ -0,0 +1,1592 @@ +""" +This module provides convenient functions to transform SymPy expressions to +lambda functions which can be used to calculate numerical values very fast. +""" + +from __future__ import annotations +from typing import Any + +import builtins +import inspect +import keyword +import textwrap +import linecache +import weakref + +# Required despite static analysis claiming it is not used +from sympy.external import import_module # noqa:F401 +from sympy.utilities.exceptions import sympy_deprecation_warning +from sympy.utilities.decorator import doctest_depends_on +from sympy.utilities.iterables import (is_sequence, iterable, + NotIterable, flatten) +from sympy.utilities.misc import filldedent + + +__doctest_requires__ = {('lambdify',): ['numpy', 'tensorflow']} + + +# Default namespaces, letting us define translations that can't be defined +# by simple variable maps, like I => 1j +MATH_DEFAULT: dict[str, Any] = {} +CMATH_DEFAULT: dict[str,Any] = {} +MPMATH_DEFAULT: dict[str, Any] = {} +NUMPY_DEFAULT: dict[str, Any] = {"I": 1j} +SCIPY_DEFAULT: dict[str, Any] = {"I": 1j} +CUPY_DEFAULT: dict[str, Any] = {"I": 1j} +JAX_DEFAULT: dict[str, Any] = {"I": 1j} +TENSORFLOW_DEFAULT: dict[str, Any] = {} +TORCH_DEFAULT: dict[str, Any] = {"I": 1j} +SYMPY_DEFAULT: dict[str, Any] = {} +NUMEXPR_DEFAULT: dict[str, Any] = {} + +# These are the namespaces the lambda functions will use. +# These are separate from the names above because they are modified +# throughout this file, whereas the defaults should remain unmodified. + +MATH = MATH_DEFAULT.copy() +CMATH = CMATH_DEFAULT.copy() +MPMATH = MPMATH_DEFAULT.copy() +NUMPY = NUMPY_DEFAULT.copy() +SCIPY = SCIPY_DEFAULT.copy() +CUPY = CUPY_DEFAULT.copy() +JAX = JAX_DEFAULT.copy() +TENSORFLOW = TENSORFLOW_DEFAULT.copy() +TORCH = TORCH_DEFAULT.copy() +SYMPY = SYMPY_DEFAULT.copy() +NUMEXPR = NUMEXPR_DEFAULT.copy() + + +# Mappings between SymPy and other modules function names. +MATH_TRANSLATIONS = { + "ceiling": "ceil", + "E": "e", + "ln": "log", +} + +CMATH_TRANSLATIONS: dict[str, str] = {} + +# NOTE: This dictionary is reused in Function._eval_evalf to allow subclasses +# of Function to automatically evalf. +MPMATH_TRANSLATIONS = { + "Abs": "fabs", + "elliptic_k": "ellipk", + "elliptic_f": "ellipf", + "elliptic_e": "ellipe", + "elliptic_pi": "ellippi", + "ceiling": "ceil", + "chebyshevt": "chebyt", + "chebyshevu": "chebyu", + "assoc_legendre": "legenp", + "E": "e", + "I": "j", + "ln": "log", + #"lowergamma":"lower_gamma", + "oo": "inf", + #"uppergamma":"upper_gamma", + "LambertW": "lambertw", + "MutableDenseMatrix": "matrix", + "ImmutableDenseMatrix": "matrix", + "conjugate": "conj", + "dirichlet_eta": "altzeta", + "Ei": "ei", + "Shi": "shi", + "Chi": "chi", + "Si": "si", + "Ci": "ci", + "RisingFactorial": "rf", + "FallingFactorial": "ff", + "betainc_regularized": "betainc", +} + +NUMPY_TRANSLATIONS: dict[str, str] = { + "Heaviside": "heaviside", +} +SCIPY_TRANSLATIONS: dict[str, str] = { + "jn" : "spherical_jn", + "yn" : "spherical_yn" +} +CUPY_TRANSLATIONS: dict[str, str] = {} +JAX_TRANSLATIONS: dict[str, str] = {} + +TENSORFLOW_TRANSLATIONS: dict[str, str] = {} +TORCH_TRANSLATIONS: dict[str, str] = {} + +NUMEXPR_TRANSLATIONS: dict[str, str] = {} + +# Available modules: +MODULES = { + "math": (MATH, MATH_DEFAULT, MATH_TRANSLATIONS, ("from math import *",)), + "cmath": (CMATH, CMATH_DEFAULT, CMATH_TRANSLATIONS, ("import cmath; from cmath import *",)), + "mpmath": (MPMATH, MPMATH_DEFAULT, MPMATH_TRANSLATIONS, ("from mpmath import *",)), + "numpy": (NUMPY, NUMPY_DEFAULT, NUMPY_TRANSLATIONS, ("import numpy; from numpy import *; from numpy.linalg import *",)), + "scipy": (SCIPY, SCIPY_DEFAULT, SCIPY_TRANSLATIONS, ("import scipy; import numpy; from scipy.special import *",)), + "cupy": (CUPY, CUPY_DEFAULT, CUPY_TRANSLATIONS, ("import cupy",)), + "jax": (JAX, JAX_DEFAULT, JAX_TRANSLATIONS, ("import jax",)), + "tensorflow": (TENSORFLOW, TENSORFLOW_DEFAULT, TENSORFLOW_TRANSLATIONS, ("import tensorflow",)), + "torch": (TORCH, TORCH_DEFAULT, TORCH_TRANSLATIONS, ("import torch",)), + "sympy": (SYMPY, SYMPY_DEFAULT, {}, ( + "from sympy.functions import *", + "from sympy.matrices import *", + "from sympy import Integral, pi, oo, nan, zoo, E, I",)), + "numexpr" : (NUMEXPR, NUMEXPR_DEFAULT, NUMEXPR_TRANSLATIONS, + ("import_module('numexpr')", )), +} + + +def _import(module, reload=False): + """ + Creates a global translation dictionary for module. + + The argument module has to be one of the following strings: "math","cmath" + "mpmath", "numpy", "sympy", "tensorflow", "jax". + These dictionaries map names of Python functions to their equivalent in + other modules. + """ + try: + namespace, namespace_default, translations, import_commands = MODULES[ + module] + except KeyError: + raise NameError( + "'%s' module cannot be used for lambdification" % module) + + # Clear namespace or exit + if namespace != namespace_default: + # The namespace was already generated, don't do it again if not forced. + if reload: + namespace.clear() + namespace.update(namespace_default) + else: + return + + for import_command in import_commands: + if import_command.startswith('import_module'): + module = eval(import_command) + + if module is not None: + namespace.update(module.__dict__) + continue + else: + try: + exec(import_command, {}, namespace) + continue + except ImportError: + pass + + raise ImportError( + "Cannot import '%s' with '%s' command" % (module, import_command)) + + # Add translated names to namespace + for sympyname, translation in translations.items(): + namespace[sympyname] = namespace[translation] + + # For computing the modulus of a SymPy expression we use the builtin abs + # function, instead of the previously used fabs function for all + # translation modules. This is because the fabs function in the math + # module does not accept complex valued arguments. (see issue 9474). The + # only exception, where we don't use the builtin abs function is the + # mpmath translation module, because mpmath.fabs returns mpf objects in + # contrast to abs(). + if 'Abs' not in namespace: + namespace['Abs'] = abs + +# Used for dynamically generated filenames that are inserted into the +# linecache. +_lambdify_generated_counter = 1 + + +@doctest_depends_on(modules=('numpy', 'scipy', 'tensorflow',), python_version=(3,)) +def lambdify(args, expr, modules=None, printer=None, use_imps=True, + dummify=False, cse=False, docstring_limit=1000): + """Convert a SymPy expression into a function that allows for fast + numeric evaluation. + + .. warning:: + This function uses ``exec``, and thus should not be used on + unsanitized input. + + .. deprecated:: 1.7 + Passing a set for the *args* parameter is deprecated as sets are + unordered. Use an ordered iterable such as a list or tuple. + + Explanation + =========== + + For example, to convert the SymPy expression ``sin(x) + cos(x)`` to an + equivalent NumPy function that numerically evaluates it: + + >>> from sympy import sin, cos, symbols, lambdify + >>> import numpy as np + >>> x = symbols('x') + >>> expr = sin(x) + cos(x) + >>> expr + sin(x) + cos(x) + >>> f = lambdify(x, expr, 'numpy') + >>> a = np.array([1, 2]) + >>> f(a) + [1.38177329 0.49315059] + + The primary purpose of this function is to provide a bridge from SymPy + expressions to numerical libraries such as NumPy, SciPy, NumExpr, mpmath, + and tensorflow. In general, SymPy functions do not work with objects from + other libraries, such as NumPy arrays, and functions from numeric + libraries like NumPy or mpmath do not work on SymPy expressions. + ``lambdify`` bridges the two by converting a SymPy expression to an + equivalent numeric function. + + The basic workflow with ``lambdify`` is to first create a SymPy expression + representing whatever mathematical function you wish to evaluate. This + should be done using only SymPy functions and expressions. Then, use + ``lambdify`` to convert this to an equivalent function for numerical + evaluation. For instance, above we created ``expr`` using the SymPy symbol + ``x`` and SymPy functions ``sin`` and ``cos``, then converted it to an + equivalent NumPy function ``f``, and called it on a NumPy array ``a``. + + Parameters + ========== + + args : List[Symbol] + A variable or a list of variables whose nesting represents the + nesting of the arguments that will be passed to the function. + + Variables can be symbols, undefined functions, or matrix symbols. + + >>> from sympy import Eq + >>> from sympy.abc import x, y, z + + The list of variables should match the structure of how the + arguments will be passed to the function. Simply enclose the + parameters as they will be passed in a list. + + To call a function like ``f(x)`` then ``[x]`` + should be the first argument to ``lambdify``; for this + case a single ``x`` can also be used: + + >>> f = lambdify(x, x + 1) + >>> f(1) + 2 + >>> f = lambdify([x], x + 1) + >>> f(1) + 2 + + To call a function like ``f(x, y)`` then ``[x, y]`` will + be the first argument of the ``lambdify``: + + >>> f = lambdify([x, y], x + y) + >>> f(1, 1) + 2 + + To call a function with a single 3-element tuple like + ``f((x, y, z))`` then ``[(x, y, z)]`` will be the first + argument of the ``lambdify``: + + >>> f = lambdify([(x, y, z)], Eq(z**2, x**2 + y**2)) + >>> f((3, 4, 5)) + True + + If two args will be passed and the first is a scalar but + the second is a tuple with two arguments then the items + in the list should match that structure: + + >>> f = lambdify([x, (y, z)], x + y + z) + >>> f(1, (2, 3)) + 6 + + expr : Expr + An expression, list of expressions, or matrix to be evaluated. + + Lists may be nested. + If the expression is a list, the output will also be a list. + + >>> f = lambdify(x, [x, [x + 1, x + 2]]) + >>> f(1) + [1, [2, 3]] + + If it is a matrix, an array will be returned (for the NumPy module). + + >>> from sympy import Matrix + >>> f = lambdify(x, Matrix([x, x + 1])) + >>> f(1) + [[1] + [2]] + + Note that the argument order here (variables then expression) is used + to emulate the Python ``lambda`` keyword. ``lambdify(x, expr)`` works + (roughly) like ``lambda x: expr`` + (see :ref:`lambdify-how-it-works` below). + + modules : str, optional + Specifies the numeric library to use. + + If not specified, *modules* defaults to: + + - ``["scipy", "numpy"]`` if SciPy is installed + - ``["numpy"]`` if only NumPy is installed + - ``["math","cmath", "mpmath", "sympy"]`` if neither is installed. + + That is, SymPy functions are replaced as far as possible by + either ``scipy`` or ``numpy`` functions if available, and Python's + standard library ``math`` and ``cmath``, or ``mpmath`` functions otherwise. + + *modules* can be one of the following types: + + - The strings ``"math"``, ``"cmath"``, ``"mpmath"``, ``"numpy"``, ``"numexpr"``, + ``"scipy"``, ``"sympy"``, or ``"tensorflow"`` or ``"jax"``. This uses the + corresponding printer and namespace mapping for that module. + - A module (e.g., ``math``). This uses the global namespace of the + module. If the module is one of the above known modules, it will + also use the corresponding printer and namespace mapping + (i.e., ``modules=numpy`` is equivalent to ``modules="numpy"``). + - A dictionary that maps names of SymPy functions to arbitrary + functions + (e.g., ``{'sin': custom_sin}``). + - A list that contains a mix of the arguments above, with higher + priority given to entries appearing first + (e.g., to use the NumPy module but override the ``sin`` function + with a custom version, you can use + ``[{'sin': custom_sin}, 'numpy']``). + + dummify : bool, optional + Whether or not the variables in the provided expression that are not + valid Python identifiers are substituted with dummy symbols. + + This allows for undefined functions like ``Function('f')(t)`` to be + supplied as arguments. By default, the variables are only dummified + if they are not valid Python identifiers. + + Set ``dummify=True`` to replace all arguments with dummy symbols + (if ``args`` is not a string) - for example, to ensure that the + arguments do not redefine any built-in names. + + cse : bool, or callable, optional + Large expressions can be computed more efficiently when + common subexpressions are identified and precomputed before + being used multiple time. Finding the subexpressions will make + creation of the 'lambdify' function slower, however. + + When ``True``, ``sympy.simplify.cse`` is used, otherwise (the default) + the user may pass a function matching the ``cse`` signature. + + docstring_limit : int or None + When lambdifying large expressions, a significant proportion of the time + spent inside ``lambdify`` is spent producing a string representation of + the expression for use in the automatically generated docstring of the + returned function. For expressions containing hundreds or more nodes the + resulting docstring often becomes so long and dense that it is difficult + to read. To reduce the runtime of lambdify, the rendering of the full + expression inside the docstring can be disabled. + + When ``None``, the full expression is rendered in the docstring. When + ``0`` or a negative ``int``, an ellipsis is rendering in the docstring + instead of the expression. When a strictly positive ``int``, if the + number of nodes in the expression exceeds ``docstring_limit`` an + ellipsis is rendered in the docstring, otherwise a string representation + of the expression is rendered as normal. The default is ``1000``. + + Examples + ======== + + >>> from sympy.utilities.lambdify import implemented_function + >>> from sympy import sqrt, sin, Matrix + >>> from sympy import Function + >>> from sympy.abc import w, x, y, z + + >>> f = lambdify(x, x**2) + >>> f(2) + 4 + >>> f = lambdify((x, y, z), [z, y, x]) + >>> f(1,2,3) + [3, 2, 1] + >>> f = lambdify(x, sqrt(x)) + >>> f(4) + 2.0 + >>> f = lambdify((x, y), sin(x*y)**2) + >>> f(0, 5) + 0.0 + >>> row = lambdify((x, y), Matrix((x, x + y)).T, modules='sympy') + >>> row(1, 2) + Matrix([[1, 3]]) + + ``lambdify`` can be used to translate SymPy expressions into mpmath + functions. This may be preferable to using ``evalf`` (which uses mpmath on + the backend) in some cases. + + >>> f = lambdify(x, sin(x), 'mpmath') + >>> f(1) + 0.8414709848078965 + + Tuple arguments are handled and the lambdified function should + be called with the same type of arguments as were used to create + the function: + + >>> f = lambdify((x, (y, z)), x + y) + >>> f(1, (2, 4)) + 3 + + The ``flatten`` function can be used to always work with flattened + arguments: + + >>> from sympy.utilities.iterables import flatten + >>> args = w, (x, (y, z)) + >>> vals = 1, (2, (3, 4)) + >>> f = lambdify(flatten(args), w + x + y + z) + >>> f(*flatten(vals)) + 10 + + Functions present in ``expr`` can also carry their own numerical + implementations, in a callable attached to the ``_imp_`` attribute. This + can be used with undefined functions using the ``implemented_function`` + factory: + + >>> f = implemented_function(Function('f'), lambda x: x+1) + >>> func = lambdify(x, f(x)) + >>> func(4) + 5 + + ``lambdify`` always prefers ``_imp_`` implementations to implementations + in other namespaces, unless the ``use_imps`` input parameter is False. + + Usage with Tensorflow: + + >>> import tensorflow as tf + >>> from sympy import Max, sin, lambdify + >>> from sympy.abc import x + + >>> f = Max(x, sin(x)) + >>> func = lambdify(x, f, 'tensorflow') + + After tensorflow v2, eager execution is enabled by default. + If you want to get the compatible result across tensorflow v1 and v2 + as same as this tutorial, run this line. + + >>> tf.compat.v1.enable_eager_execution() + + If you have eager execution enabled, you can get the result out + immediately as you can use numpy. + + If you pass tensorflow objects, you may get an ``EagerTensor`` + object instead of value. + + >>> result = func(tf.constant(1.0)) + >>> print(result) + tf.Tensor(1.0, shape=(), dtype=float32) + >>> print(result.__class__) + + + You can use ``.numpy()`` to get the numpy value of the tensor. + + >>> result.numpy() + 1.0 + + >>> var = tf.Variable(2.0) + >>> result = func(var) # also works for tf.Variable and tf.Placeholder + >>> result.numpy() + 2.0 + + And it works with any shape array. + + >>> tensor = tf.constant([[1.0, 2.0], [3.0, 4.0]]) + >>> result = func(tensor) + >>> result.numpy() + [[1. 2.] + [3. 4.]] + + Notes + ===== + + - For functions involving large array calculations, numexpr can provide a + significant speedup over numpy. Please note that the available functions + for numexpr are more limited than numpy but can be expanded with + ``implemented_function`` and user defined subclasses of Function. If + specified, numexpr may be the only option in modules. The official list + of numexpr functions can be found at: + https://numexpr.readthedocs.io/en/latest/user_guide.html#supported-functions + + - In the above examples, the generated functions can accept scalar + values or numpy arrays as arguments. However, in some cases + the generated function relies on the input being a numpy array: + + >>> import numpy + >>> from sympy import Piecewise + >>> from sympy.testing.pytest import ignore_warnings + >>> f = lambdify(x, Piecewise((x, x <= 1), (1/x, x > 1)), "numpy") + + >>> with ignore_warnings(RuntimeWarning): + ... f(numpy.array([-1, 0, 1, 2])) + [-1. 0. 1. 0.5] + + >>> f(0) + Traceback (most recent call last): + ... + ZeroDivisionError: division by zero + + In such cases, the input should be wrapped in a numpy array: + + >>> with ignore_warnings(RuntimeWarning): + ... float(f(numpy.array([0]))) + 0.0 + + Or if numpy functionality is not required another module can be used: + + >>> f = lambdify(x, Piecewise((x, x <= 1), (1/x, x > 1)), "math") + >>> f(0) + 0 + + .. _lambdify-how-it-works: + + How it works + ============ + + When using this function, it helps a great deal to have an idea of what it + is doing. At its core, lambdify is nothing more than a namespace + translation, on top of a special printer that makes some corner cases work + properly. + + To understand lambdify, first we must properly understand how Python + namespaces work. Say we had two files. One called ``sin_cos_sympy.py``, + with + + .. code:: python + + # sin_cos_sympy.py + + from sympy.functions.elementary.trigonometric import (cos, sin) + + def sin_cos(x): + return sin(x) + cos(x) + + + and one called ``sin_cos_numpy.py`` with + + .. code:: python + + # sin_cos_numpy.py + + from numpy import sin, cos + + def sin_cos(x): + return sin(x) + cos(x) + + The two files define an identical function ``sin_cos``. However, in the + first file, ``sin`` and ``cos`` are defined as the SymPy ``sin`` and + ``cos``. In the second, they are defined as the NumPy versions. + + If we were to import the first file and use the ``sin_cos`` function, we + would get something like + + >>> from sin_cos_sympy import sin_cos # doctest: +SKIP + >>> sin_cos(1) # doctest: +SKIP + cos(1) + sin(1) + + On the other hand, if we imported ``sin_cos`` from the second file, we + would get + + >>> from sin_cos_numpy import sin_cos # doctest: +SKIP + >>> sin_cos(1) # doctest: +SKIP + 1.38177329068 + + In the first case we got a symbolic output, because it used the symbolic + ``sin`` and ``cos`` functions from SymPy. In the second, we got a numeric + result, because ``sin_cos`` used the numeric ``sin`` and ``cos`` functions + from NumPy. But notice that the versions of ``sin`` and ``cos`` that were + used was not inherent to the ``sin_cos`` function definition. Both + ``sin_cos`` definitions are exactly the same. Rather, it was based on the + names defined at the module where the ``sin_cos`` function was defined. + + The key point here is that when function in Python references a name that + is not defined in the function, that name is looked up in the "global" + namespace of the module where that function is defined. + + Now, in Python, we can emulate this behavior without actually writing a + file to disk using the ``exec`` function. ``exec`` takes a string + containing a block of Python code, and a dictionary that should contain + the global variables of the module. It then executes the code "in" that + dictionary, as if it were the module globals. The following is equivalent + to the ``sin_cos`` defined in ``sin_cos_sympy.py``: + + >>> import sympy + >>> module_dictionary = {'sin': sympy.sin, 'cos': sympy.cos} + >>> exec(''' + ... def sin_cos(x): + ... return sin(x) + cos(x) + ... ''', module_dictionary) + >>> sin_cos = module_dictionary['sin_cos'] + >>> sin_cos(1) + cos(1) + sin(1) + + and similarly with ``sin_cos_numpy``: + + >>> import numpy + >>> module_dictionary = {'sin': numpy.sin, 'cos': numpy.cos} + >>> exec(''' + ... def sin_cos(x): + ... return sin(x) + cos(x) + ... ''', module_dictionary) + >>> sin_cos = module_dictionary['sin_cos'] + >>> sin_cos(1) + 1.38177329068 + + So now we can get an idea of how ``lambdify`` works. The name "lambdify" + comes from the fact that we can think of something like ``lambdify(x, + sin(x) + cos(x), 'numpy')`` as ``lambda x: sin(x) + cos(x)``, where + ``sin`` and ``cos`` come from the ``numpy`` namespace. This is also why + the symbols argument is first in ``lambdify``, as opposed to most SymPy + functions where it comes after the expression: to better mimic the + ``lambda`` keyword. + + ``lambdify`` takes the input expression (like ``sin(x) + cos(x)``) and + + 1. Converts it to a string + 2. Creates a module globals dictionary based on the modules that are + passed in (by default, it uses the NumPy module) + 3. Creates the string ``"def func({vars}): return {expr}"``, where ``{vars}`` is the + list of variables separated by commas, and ``{expr}`` is the string + created in step 1., then ``exec``s that string with the module globals + namespace and returns ``func``. + + In fact, functions returned by ``lambdify`` support inspection. So you can + see exactly how they are defined by using ``inspect.getsource``, or ``??`` if you + are using IPython or the Jupyter notebook. + + >>> f = lambdify(x, sin(x) + cos(x)) + >>> import inspect + >>> print(inspect.getsource(f)) + def _lambdifygenerated(x): + return sin(x) + cos(x) + + This shows us the source code of the function, but not the namespace it + was defined in. We can inspect that by looking at the ``__globals__`` + attribute of ``f``: + + >>> f.__globals__['sin'] + + >>> f.__globals__['cos'] + + >>> f.__globals__['sin'] is numpy.sin + True + + This shows us that ``sin`` and ``cos`` in the namespace of ``f`` will be + ``numpy.sin`` and ``numpy.cos``. + + Note that there are some convenience layers in each of these steps, but at + the core, this is how ``lambdify`` works. Step 1 is done using the + ``LambdaPrinter`` printers defined in the printing module (see + :mod:`sympy.printing.lambdarepr`). This allows different SymPy expressions + to define how they should be converted to a string for different modules. + You can change which printer ``lambdify`` uses by passing a custom printer + in to the ``printer`` argument. + + Step 2 is augmented by certain translations. There are default + translations for each module, but you can provide your own by passing a + list to the ``modules`` argument. For instance, + + >>> def mysin(x): + ... print('taking the sin of', x) + ... return numpy.sin(x) + ... + >>> f = lambdify(x, sin(x), [{'sin': mysin}, 'numpy']) + >>> f(1) + taking the sin of 1 + 0.8414709848078965 + + The globals dictionary is generated from the list by merging the + dictionary ``{'sin': mysin}`` and the module dictionary for NumPy. The + merging is done so that earlier items take precedence, which is why + ``mysin`` is used above instead of ``numpy.sin``. + + If you want to modify the way ``lambdify`` works for a given function, it + is usually easiest to do so by modifying the globals dictionary as such. + In more complicated cases, it may be necessary to create and pass in a + custom printer. + + Finally, step 3 is augmented with certain convenience operations, such as + the addition of a docstring. + + Understanding how ``lambdify`` works can make it easier to avoid certain + gotchas when using it. For instance, a common mistake is to create a + lambdified function for one module (say, NumPy), and pass it objects from + another (say, a SymPy expression). + + For instance, say we create + + >>> from sympy.abc import x + >>> f = lambdify(x, x + 1, 'numpy') + + Now if we pass in a NumPy array, we get that array plus 1 + + >>> import numpy + >>> a = numpy.array([1, 2]) + >>> f(a) + [2 3] + + But what happens if you make the mistake of passing in a SymPy expression + instead of a NumPy array: + + >>> f(x + 1) + x + 2 + + This worked, but it was only by accident. Now take a different lambdified + function: + + >>> from sympy import sin + >>> g = lambdify(x, x + sin(x), 'numpy') + + This works as expected on NumPy arrays: + + >>> g(a) + [1.84147098 2.90929743] + + But if we try to pass in a SymPy expression, it fails + + >>> g(x + 1) + Traceback (most recent call last): + ... + TypeError: loop of ufunc does not support argument 0 of type Add which has + no callable sin method + + Now, let's look at what happened. The reason this fails is that ``g`` + calls ``numpy.sin`` on the input expression, and ``numpy.sin`` does not + know how to operate on a SymPy object. **As a general rule, NumPy + functions do not know how to operate on SymPy expressions, and SymPy + functions do not know how to operate on NumPy arrays. This is why lambdify + exists: to provide a bridge between SymPy and NumPy.** + + However, why is it that ``f`` did work? That's because ``f`` does not call + any functions, it only adds 1. So the resulting function that is created, + ``def _lambdifygenerated(x): return x + 1`` does not depend on the globals + namespace it is defined in. Thus it works, but only by accident. A future + version of ``lambdify`` may remove this behavior. + + Be aware that certain implementation details described here may change in + future versions of SymPy. The API of passing in custom modules and + printers will not change, but the details of how a lambda function is + created may change. However, the basic idea will remain the same, and + understanding it will be helpful to understanding the behavior of + lambdify. + + **In general: you should create lambdified functions for one module (say, + NumPy), and only pass it input types that are compatible with that module + (say, NumPy arrays).** Remember that by default, if the ``module`` + argument is not provided, ``lambdify`` creates functions using the NumPy + and SciPy namespaces. + """ + from sympy.core.symbol import Symbol + from sympy.core.expr import Expr + + # If the user hasn't specified any modules, use what is available. + if modules is None: + try: + _import("scipy") + except ImportError: + try: + _import("numpy") + except ImportError: + # Use either numpy (if available) or python.math where possible. + # XXX: This leads to different behaviour on different systems and + # might be the reason for irreproducible errors. + modules = ["math", "mpmath", "sympy"] + else: + modules = ["numpy"] + else: + modules = ["numpy", "scipy"] + + # Get the needed namespaces. + namespaces = [] + # First find any function implementations + if use_imps: + namespaces.append(_imp_namespace(expr)) + # Check for dict before iterating + if isinstance(modules, (dict, str)) or not hasattr(modules, '__iter__'): + namespaces.append(modules) + else: + # consistency check + if _module_present('numexpr', modules) and len(modules) > 1: + raise TypeError("numexpr must be the only item in 'modules'") + namespaces += list(modules) + # fill namespace with first having highest priority + namespace = {} + for m in namespaces[::-1]: + buf = _get_namespace(m) + namespace.update(buf) + + if hasattr(expr, "atoms"): + #Try if you can extract symbols from the expression. + #Move on if expr.atoms in not implemented. + syms = expr.atoms(Symbol) + for term in syms: + namespace.update({str(term): term}) + + if printer is None: + if _module_present('mpmath', namespaces): + from sympy.printing.pycode import MpmathPrinter as Printer # type: ignore + elif _module_present('scipy', namespaces): + from sympy.printing.numpy import SciPyPrinter as Printer # type: ignore + elif _module_present('numpy', namespaces): + from sympy.printing.numpy import NumPyPrinter as Printer # type: ignore + elif _module_present('cupy', namespaces): + from sympy.printing.numpy import CuPyPrinter as Printer # type: ignore + elif _module_present('jax', namespaces): + from sympy.printing.numpy import JaxPrinter as Printer # type: ignore + elif _module_present('numexpr', namespaces): + from sympy.printing.lambdarepr import NumExprPrinter as Printer # type: ignore + elif _module_present('tensorflow', namespaces): + from sympy.printing.tensorflow import TensorflowPrinter as Printer # type: ignore + elif _module_present('torch', namespaces): + from sympy.printing.pytorch import TorchPrinter as Printer # type: ignore + elif _module_present('sympy', namespaces): + from sympy.printing.pycode import SymPyPrinter as Printer # type: ignore + elif _module_present('cmath', namespaces): + from sympy.printing.pycode import CmathPrinter as Printer # type: ignore + else: + from sympy.printing.pycode import PythonCodePrinter as Printer # type: ignore + user_functions = {} + for m in namespaces[::-1]: + if isinstance(m, dict): + for k in m: + user_functions[k] = k + printer = Printer({'fully_qualified_modules': False, 'inline': True, + 'allow_unknown_functions': True, + 'user_functions': user_functions}) + + if isinstance(args, set): + sympy_deprecation_warning( + """ +Passing the function arguments to lambdify() as a set is deprecated. This +leads to unpredictable results since sets are unordered. Instead, use a list +or tuple for the function arguments. + """, + deprecated_since_version="1.6.3", + active_deprecations_target="deprecated-lambdify-arguments-set", + ) + + # Get the names of the args, for creating a docstring + iterable_args = (args,) if isinstance(args, Expr) else args + names = [] + + # Grab the callers frame, for getting the names by inspection (if needed) + callers_local_vars = inspect.currentframe().f_back.f_locals.items() # type: ignore + for n, var in enumerate(iterable_args): + if hasattr(var, 'name'): + names.append(var.name) + else: + # It's an iterable. Try to get name by inspection of calling frame. + name_list = [var_name for var_name, var_val in callers_local_vars + if var_val is var] + if len(name_list) == 1: + names.append(name_list[0]) + else: + # Cannot infer name with certainty. arg_# will have to do. + names.append('arg_' + str(n)) + + # Create the function definition code and execute it + funcname = '_lambdifygenerated' + if _module_present('tensorflow', namespaces): + funcprinter = _TensorflowEvaluatorPrinter(printer, dummify) + else: + funcprinter = _EvaluatorPrinter(printer, dummify) + + if cse == True: + from sympy.simplify.cse_main import cse as _cse + cses, _expr = _cse(expr, list=False) + elif callable(cse): + cses, _expr = cse(expr) + else: + cses, _expr = (), expr + funcstr = funcprinter.doprint(funcname, iterable_args, _expr, cses=cses) + + # Collect the module imports from the code printers. + imp_mod_lines = [] + for mod, keys in (getattr(printer, 'module_imports', None) or {}).items(): + for k in keys: + if k not in namespace: + ln = "from %s import %s" % (mod, k) + try: + exec(ln, {}, namespace) + except ImportError: + # Tensorflow 2.0 has issues with importing a specific + # function from its submodule. + # https://github.com/tensorflow/tensorflow/issues/33022 + ln = "%s = %s.%s" % (k, mod, k) + exec(ln, {}, namespace) + imp_mod_lines.append(ln) + + # Provide lambda expression with builtins, and compatible implementation of range + namespace.update({'builtins':builtins, 'range':range}) + + funclocals = {} + global _lambdify_generated_counter + filename = '' % _lambdify_generated_counter + _lambdify_generated_counter += 1 + c = compile(funcstr, filename, 'exec') + exec(c, namespace, funclocals) + # mtime has to be None or else linecache.checkcache will remove it + linecache.cache[filename] = (len(funcstr), None, funcstr.splitlines(True), filename) # type: ignore + + # Remove the entry from the linecache when the object is garbage collected + def cleanup_linecache(filename): + def _cleanup(): + if filename in linecache.cache: + del linecache.cache[filename] + return _cleanup + + func = funclocals[funcname] + + weakref.finalize(func, cleanup_linecache(filename)) + + # Apply the docstring + sig = "func({})".format(", ".join(str(i) for i in names)) + sig = textwrap.fill(sig, subsequent_indent=' '*8) + if _too_large_for_docstring(expr, docstring_limit): + expr_str = "EXPRESSION REDACTED DUE TO LENGTH, (see lambdify's `docstring_limit`)" + src_str = "SOURCE CODE REDACTED DUE TO LENGTH, (see lambdify's `docstring_limit`)" + else: + expr_str = str(expr) + if len(expr_str) > 78: + expr_str = textwrap.wrap(expr_str, 75)[0] + '...' + src_str = funcstr + func.__doc__ = ( + "Created with lambdify. Signature:\n\n" + "{sig}\n\n" + "Expression:\n\n" + "{expr}\n\n" + "Source code:\n\n" + "{src}\n\n" + "Imported modules:\n\n" + "{imp_mods}" + ).format(sig=sig, expr=expr_str, src=src_str, imp_mods='\n'.join(imp_mod_lines)) + return func + +def _module_present(modname, modlist): + if modname in modlist: + return True + for m in modlist: + if hasattr(m, '__name__') and m.__name__ == modname: + return True + return False + +def _get_namespace(m): + """ + This is used by _lambdify to parse its arguments. + """ + if isinstance(m, str): + _import(m) + return MODULES[m][0] + elif isinstance(m, dict): + return m + elif hasattr(m, "__dict__"): + return m.__dict__ + else: + raise TypeError("Argument must be either a string, dict or module but it is: %s" % m) + + +def _recursive_to_string(doprint, arg): + """Functions in lambdify accept both SymPy types and non-SymPy types such as python + lists and tuples. This method ensures that we only call the doprint method of the + printer with SymPy types (so that the printer safely can use SymPy-methods).""" + from sympy.matrices.matrixbase import MatrixBase + from sympy.core.basic import Basic + + if isinstance(arg, (Basic, MatrixBase)): + return doprint(arg) + elif iterable(arg): + if isinstance(arg, list): + left, right = "[", "]" + elif isinstance(arg, tuple): + left, right = "(", ",)" + if not arg: + return "()" + else: + raise NotImplementedError("unhandled type: %s, %s" % (type(arg), arg)) + return left +', '.join(_recursive_to_string(doprint, e) for e in arg) + right + elif isinstance(arg, str): + return arg + else: + return doprint(arg) + + +def lambdastr(args, expr, printer=None, dummify=None): + """ + Returns a string that can be evaluated to a lambda function. + + Examples + ======== + + >>> from sympy.abc import x, y, z + >>> from sympy.utilities.lambdify import lambdastr + >>> lambdastr(x, x**2) + 'lambda x: (x**2)' + >>> lambdastr((x,y,z), [z,y,x]) + 'lambda x,y,z: ([z, y, x])' + + Although tuples may not appear as arguments to lambda in Python 3, + lambdastr will create a lambda function that will unpack the original + arguments so that nested arguments can be handled: + + >>> lambdastr((x, (y, z)), x + y) + 'lambda _0,_1: (lambda x,y,z: (x + y))(_0,_1[0],_1[1])' + """ + # Transforming everything to strings. + from sympy.matrices import DeferredVector + from sympy.core.basic import Basic + from sympy.core.function import (Derivative, Function) + from sympy.core.symbol import (Dummy, Symbol) + from sympy.core.sympify import sympify + + if printer is not None: + if inspect.isfunction(printer): + lambdarepr = printer + else: + if inspect.isclass(printer): + lambdarepr = lambda expr: printer().doprint(expr) + else: + lambdarepr = lambda expr: printer.doprint(expr) + else: + #XXX: This has to be done here because of circular imports + from sympy.printing.lambdarepr import lambdarepr + + def sub_args(args, dummies_dict): + if isinstance(args, str): + return args + elif isinstance(args, DeferredVector): + return str(args) + elif iterable(args): + dummies = flatten([sub_args(a, dummies_dict) for a in args]) + return ",".join(str(a) for a in dummies) + else: + # replace these with Dummy symbols + if isinstance(args, (Function, Symbol, Derivative)): + dummies = Dummy() + dummies_dict.update({args : dummies}) + return str(dummies) + else: + return str(args) + + def sub_expr(expr, dummies_dict): + expr = sympify(expr) + # dict/tuple are sympified to Basic + if isinstance(expr, Basic): + expr = expr.xreplace(dummies_dict) + # list is not sympified to Basic + elif isinstance(expr, list): + expr = [sub_expr(a, dummies_dict) for a in expr] + return expr + + # Transform args + def isiter(l): + return iterable(l, exclude=(str, DeferredVector, NotIterable)) + + def flat_indexes(iterable): + n = 0 + + for el in iterable: + if isiter(el): + for ndeep in flat_indexes(el): + yield (n,) + ndeep + else: + yield (n,) + + n += 1 + + if dummify is None: + dummify = any(isinstance(a, Basic) and + a.atoms(Function, Derivative) for a in ( + args if isiter(args) else [args])) + + if isiter(args) and any(isiter(i) for i in args): + dum_args = [str(Dummy(str(i))) for i in range(len(args))] + + indexed_args = ','.join([ + dum_args[ind[0]] + ''.join(["[%s]" % k for k in ind[1:]]) + for ind in flat_indexes(args)]) + + lstr = lambdastr(flatten(args), expr, printer=printer, dummify=dummify) + + return 'lambda %s: (%s)(%s)' % (','.join(dum_args), lstr, indexed_args) + + dummies_dict = {} + if dummify: + args = sub_args(args, dummies_dict) + else: + if isinstance(args, str): + pass + elif iterable(args, exclude=DeferredVector): + args = ",".join(str(a) for a in args) + + # Transform expr + if dummify: + if isinstance(expr, str): + pass + else: + expr = sub_expr(expr, dummies_dict) + expr = _recursive_to_string(lambdarepr, expr) + return "lambda %s: (%s)" % (args, expr) + +class _EvaluatorPrinter: + def __init__(self, printer=None, dummify=False): + self._dummify = dummify + + #XXX: This has to be done here because of circular imports + from sympy.printing.lambdarepr import LambdaPrinter + + if printer is None: + printer = LambdaPrinter() + + if inspect.isfunction(printer): + self._exprrepr = printer + else: + if inspect.isclass(printer): + printer = printer() + + self._exprrepr = printer.doprint + + #if hasattr(printer, '_print_Symbol'): + # symbolrepr = printer._print_Symbol + + #if hasattr(printer, '_print_Dummy'): + # dummyrepr = printer._print_Dummy + + # Used to print the generated function arguments in a standard way + self._argrepr = LambdaPrinter().doprint + + def doprint(self, funcname, args, expr, *, cses=()): + """ + Returns the function definition code as a string. + """ + from sympy.core.symbol import Dummy + + funcbody = [] + + if not iterable(args): + args = [args] + + if cses: + cses = list(cses) + subvars, subexprs = zip(*cses) + exprs = [expr] + list(subexprs) + argstrs, exprs = self._preprocess(args, exprs, cses=cses) + expr, subexprs = exprs[0], exprs[1:] + cses = zip(subvars, subexprs) + else: + argstrs, expr = self._preprocess(args, expr) + + # Generate argument unpacking and final argument list + funcargs = [] + unpackings = [] + + for argstr in argstrs: + if iterable(argstr): + funcargs.append(self._argrepr(Dummy())) + unpackings.extend(self._print_unpacking(argstr, funcargs[-1])) + else: + funcargs.append(argstr) + + funcsig = 'def {}({}):'.format(funcname, ', '.join(funcargs)) + + # Wrap input arguments before unpacking + funcbody.extend(self._print_funcargwrapping(funcargs)) + + funcbody.extend(unpackings) + + for s, e in cses: + if e is None: + funcbody.append('del {}'.format(self._exprrepr(s))) + else: + funcbody.append('{} = {}'.format(self._exprrepr(s), self._exprrepr(e))) + + # Subs may appear in expressions generated by .diff() + subs_assignments = [] + expr = self._handle_Subs(expr, out=subs_assignments) + for lhs, rhs in subs_assignments: + funcbody.append('{} = {}'.format(self._exprrepr(lhs), self._exprrepr(rhs))) + + str_expr = _recursive_to_string(self._exprrepr, expr) + + if '\n' in str_expr: + str_expr = '({})'.format(str_expr) + funcbody.append('return {}'.format(str_expr)) + + funclines = [funcsig] + funclines.extend([' ' + line for line in funcbody]) + + return '\n'.join(funclines) + '\n' + + @classmethod + def _is_safe_ident(cls, ident): + return isinstance(ident, str) and ident.isidentifier() \ + and not keyword.iskeyword(ident) + + def _preprocess(self, args, expr, cses=(), _dummies_dict=None): + """Preprocess args, expr to replace arguments that do not map + to valid Python identifiers. + + Returns string form of args, and updated expr. + """ + from sympy.core.basic import Basic + from sympy.core.sorting import ordered + from sympy.core.function import (Derivative, Function) + from sympy.core.symbol import Dummy, uniquely_named_symbol + from sympy.matrices import DeferredVector + from sympy.core.expr import Expr + + # Args of type Dummy can cause name collisions with args + # of type Symbol. Force dummify of everything in this + # situation. + dummify = self._dummify or any( + isinstance(arg, Dummy) for arg in flatten(args)) + + argstrs = [None]*len(args) + if _dummies_dict is None: + _dummies_dict = {} + + def update_dummies(arg, dummy): + _dummies_dict[arg] = dummy + for repl, sub in cses: + arg = arg.xreplace({sub: repl}) + _dummies_dict[arg] = dummy + + for arg, i in reversed(list(ordered(zip(args, range(len(args)))))): + if iterable(arg): + s, expr = self._preprocess(arg, expr, cses=cses, _dummies_dict=_dummies_dict) + elif isinstance(arg, DeferredVector): + s = str(arg) + elif isinstance(arg, Basic) and arg.is_symbol: + s = str(arg) + if dummify or not self._is_safe_ident(s): + dummy = Dummy() + if isinstance(expr, Expr): + dummy = uniquely_named_symbol( + dummy.name, expr, modify=lambda s: '_' + s) + s = self._argrepr(dummy) + update_dummies(arg, dummy) + expr = self._subexpr(expr, _dummies_dict) + elif dummify or isinstance(arg, (Function, Derivative)): + dummy = Dummy() + s = self._argrepr(dummy) + update_dummies(arg, dummy) + expr = self._subexpr(expr, _dummies_dict) + else: + s = str(arg) + argstrs[i] = s + return argstrs, expr + + def _subexpr(self, expr, dummies_dict): + from sympy.matrices import DeferredVector + from sympy.core.sympify import sympify + + expr = sympify(expr) + xreplace = getattr(expr, 'xreplace', None) + if xreplace is not None: + expr = xreplace(dummies_dict) + else: + if isinstance(expr, DeferredVector): + pass + elif isinstance(expr, dict): + k = [self._subexpr(sympify(a), dummies_dict) for a in expr.keys()] + v = [self._subexpr(sympify(a), dummies_dict) for a in expr.values()] + expr = dict(zip(k, v)) + elif isinstance(expr, tuple): + expr = tuple(self._subexpr(sympify(a), dummies_dict) for a in expr) + elif isinstance(expr, list): + expr = [self._subexpr(sympify(a), dummies_dict) for a in expr] + return expr + + def _print_funcargwrapping(self, args): + """Generate argument wrapping code. + + args is the argument list of the generated function (strings). + + Return value is a list of lines of code that will be inserted at + the beginning of the function definition. + """ + return [] + + def _print_unpacking(self, unpackto, arg): + """Generate argument unpacking code. + + arg is the function argument to be unpacked (a string), and + unpackto is a list or nested lists of the variable names (strings) to + unpack to. + """ + def unpack_lhs(lvalues): + return '[{}]'.format(', '.join( + unpack_lhs(val) if iterable(val) else val for val in lvalues)) + + return ['{} = {}'.format(unpack_lhs(unpackto), arg)] + + def _handle_Subs(self, expr, out): + """Any instance of Subs is extracted and returned as assignment pairs.""" + from sympy.core.basic import Basic + from sympy.core.function import Subs + from sympy.core.symbol import Dummy + from sympy.matrices.matrixbase import MatrixBase + + def _replace(ex, variables, point): + safe = {} + for lhs, rhs in zip(variables, point): + dummy = Dummy() + safe[lhs] = dummy + out.append((dummy, rhs)) + return ex.xreplace(safe) + + if isinstance(expr, (Basic, MatrixBase)): + expr = expr.replace(Subs, _replace) + elif iterable(expr): + expr = type(expr)([self._handle_Subs(e, out) for e in expr]) + return expr + +class _TensorflowEvaluatorPrinter(_EvaluatorPrinter): + def _print_unpacking(self, lvalues, rvalue): + """Generate argument unpacking code. + + This method is used when the input value is not iterable, + but can be indexed (see issue #14655). + """ + + def flat_indexes(elems): + n = 0 + + for el in elems: + if iterable(el): + for ndeep in flat_indexes(el): + yield (n,) + ndeep + else: + yield (n,) + + n += 1 + + indexed = ', '.join('{}[{}]'.format(rvalue, ']['.join(map(str, ind))) + for ind in flat_indexes(lvalues)) + + return ['[{}] = [{}]'.format(', '.join(flatten(lvalues)), indexed)] + +def _imp_namespace(expr, namespace=None): + """ Return namespace dict with function implementations + + We need to search for functions in anything that can be thrown at + us - that is - anything that could be passed as ``expr``. Examples + include SymPy expressions, as well as tuples, lists and dicts that may + contain SymPy expressions. + + Parameters + ---------- + expr : object + Something passed to lambdify, that will generate valid code from + ``str(expr)``. + namespace : None or mapping + Namespace to fill. None results in new empty dict + + Returns + ------- + namespace : dict + dict with keys of implemented function names within ``expr`` and + corresponding values being the numerical implementation of + function + + Examples + ======== + + >>> from sympy.abc import x + >>> from sympy.utilities.lambdify import implemented_function, _imp_namespace + >>> from sympy import Function + >>> f = implemented_function(Function('f'), lambda x: x+1) + >>> g = implemented_function(Function('g'), lambda x: x*10) + >>> namespace = _imp_namespace(f(g(x))) + >>> sorted(namespace.keys()) + ['f', 'g'] + """ + # Delayed import to avoid circular imports + from sympy.core.function import FunctionClass + if namespace is None: + namespace = {} + # tuples, lists, dicts are valid expressions + if is_sequence(expr): + for arg in expr: + _imp_namespace(arg, namespace) + return namespace + elif isinstance(expr, dict): + for key, val in expr.items(): + # functions can be in dictionary keys + _imp_namespace(key, namespace) + _imp_namespace(val, namespace) + return namespace + # SymPy expressions may be Functions themselves + func = getattr(expr, 'func', None) + if isinstance(func, FunctionClass): + imp = getattr(func, '_imp_', None) + if imp is not None: + name = expr.func.__name__ + if name in namespace and namespace[name] != imp: + raise ValueError('We found more than one ' + 'implementation with name ' + '"%s"' % name) + namespace[name] = imp + # and / or they may take Functions as arguments + if hasattr(expr, 'args'): + for arg in expr.args: + _imp_namespace(arg, namespace) + return namespace + + +def implemented_function(symfunc, implementation): + """ Add numerical ``implementation`` to function ``symfunc``. + + ``symfunc`` can be an ``UndefinedFunction`` instance, or a name string. + In the latter case we create an ``UndefinedFunction`` instance with that + name. + + Be aware that this is a quick workaround, not a general method to create + special symbolic functions. If you want to create a symbolic function to be + used by all the machinery of SymPy you should subclass the ``Function`` + class. + + Parameters + ---------- + symfunc : ``str`` or ``UndefinedFunction`` instance + If ``str``, then create new ``UndefinedFunction`` with this as + name. If ``symfunc`` is an Undefined function, create a new function + with the same name and the implemented function attached. + implementation : callable + numerical implementation to be called by ``evalf()`` or ``lambdify`` + + Returns + ------- + afunc : sympy.FunctionClass instance + function with attached implementation + + Examples + ======== + + >>> from sympy.abc import x + >>> from sympy.utilities.lambdify import implemented_function + >>> from sympy import lambdify + >>> f = implemented_function('f', lambda x: x+1) + >>> lam_f = lambdify(x, f(x)) + >>> lam_f(4) + 5 + """ + # Delayed import to avoid circular imports + from sympy.core.function import UndefinedFunction + # if name, create function to hold implementation + kwargs = {} + if isinstance(symfunc, UndefinedFunction): + kwargs = symfunc._kwargs + symfunc = symfunc.__name__ + if isinstance(symfunc, str): + # Keyword arguments to UndefinedFunction are added as attributes to + # the created class. + symfunc = UndefinedFunction( + symfunc, _imp_=staticmethod(implementation), **kwargs) + elif not isinstance(symfunc, UndefinedFunction): + raise ValueError(filldedent(''' + symfunc should be either a string or + an UndefinedFunction instance.''')) + return symfunc + + +def _too_large_for_docstring(expr, limit): + """Decide whether an ``Expr`` is too large to be fully rendered in a + ``lambdify`` docstring. + + This is a fast alternative to ``count_ops``, which can become prohibitively + slow for large expressions, because in this instance we only care whether + ``limit`` is exceeded rather than counting the exact number of nodes in the + expression. + + Parameters + ========== + expr : ``Expr``, (nested) ``list`` of ``Expr``, or ``Matrix`` + The same objects that can be passed to the ``expr`` argument of + ``lambdify``. + limit : ``int`` or ``None`` + The threshold above which an expression contains too many nodes to be + usefully rendered in the docstring. If ``None`` then there is no limit. + + Returns + ======= + bool + ``True`` if the number of nodes in the expression exceeds the limit, + ``False`` otherwise. + + Examples + ======== + + >>> from sympy.abc import x, y, z + >>> from sympy.utilities.lambdify import _too_large_for_docstring + >>> expr = x + >>> _too_large_for_docstring(expr, None) + False + >>> _too_large_for_docstring(expr, 100) + False + >>> _too_large_for_docstring(expr, 1) + False + >>> _too_large_for_docstring(expr, 0) + True + >>> _too_large_for_docstring(expr, -1) + True + + Does this split it? + + >>> expr = [x, y, z] + >>> _too_large_for_docstring(expr, None) + False + >>> _too_large_for_docstring(expr, 100) + False + >>> _too_large_for_docstring(expr, 1) + True + >>> _too_large_for_docstring(expr, 0) + True + >>> _too_large_for_docstring(expr, -1) + True + + >>> expr = [x, [y], z, [[x+y], [x*y*z, [x+y+z]]]] + >>> _too_large_for_docstring(expr, None) + False + >>> _too_large_for_docstring(expr, 100) + False + >>> _too_large_for_docstring(expr, 1) + True + >>> _too_large_for_docstring(expr, 0) + True + >>> _too_large_for_docstring(expr, -1) + True + + >>> expr = ((x + y + z)**5).expand() + >>> _too_large_for_docstring(expr, None) + False + >>> _too_large_for_docstring(expr, 100) + True + >>> _too_large_for_docstring(expr, 1) + True + >>> _too_large_for_docstring(expr, 0) + True + >>> _too_large_for_docstring(expr, -1) + True + + >>> from sympy import Matrix + >>> expr = Matrix([[(x + y + z), ((x + y + z)**2).expand(), + ... ((x + y + z)**3).expand(), ((x + y + z)**4).expand()]]) + >>> _too_large_for_docstring(expr, None) + False + >>> _too_large_for_docstring(expr, 1000) + False + >>> _too_large_for_docstring(expr, 100) + True + >>> _too_large_for_docstring(expr, 1) + True + >>> _too_large_for_docstring(expr, 0) + True + >>> _too_large_for_docstring(expr, -1) + True + + """ + # Must be imported here to avoid a circular import error + from sympy.core.traversal import postorder_traversal + + if limit is None: + return False + + i = 0 + for _ in postorder_traversal(expr): + i += 1 + if i > limit: + return True + return False diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/magic.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/magic.py new file mode 100644 index 0000000000000000000000000000000000000000..e853a0ad9a85bc252dcb24e8a1ecbfca422ac3fd --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/magic.py @@ -0,0 +1,12 @@ +"""Functions that involve magic. """ + +def pollute(names, objects): + """Pollute the global namespace with symbols -> objects mapping. """ + from inspect import currentframe + frame = currentframe().f_back.f_back + + try: + for name, obj in zip(names, objects): + frame.f_globals[name] = obj + finally: + del frame # break cyclic dependencies as stated in inspect docs diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/matchpy_connector.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/matchpy_connector.py new file mode 100644 index 0000000000000000000000000000000000000000..35aa013294b93bbcfe4a1bf4ec96b629ea5a468f --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/matchpy_connector.py @@ -0,0 +1,340 @@ +""" +The objects in this module allow the usage of the MatchPy pattern matching +library on SymPy expressions. +""" +import re +from typing import List, Callable, NamedTuple, Any, Dict + +from sympy.core.sympify import _sympify +from sympy.external import import_module +from sympy.functions import (log, sin, cos, tan, cot, csc, sec, erf, gamma, uppergamma) +from sympy.functions.elementary.hyperbolic import acosh, asinh, atanh, acoth, acsch, asech, cosh, sinh, tanh, coth, sech, csch +from sympy.functions.elementary.trigonometric import atan, acsc, asin, acot, acos, asec +from sympy.functions.special.error_functions import fresnelc, fresnels, erfc, erfi, Ei +from sympy.core.add import Add +from sympy.core.basic import Basic +from sympy.core.expr import Expr +from sympy.core.mul import Mul +from sympy.core.power import Pow +from sympy.core.relational import (Equality, Unequality) +from sympy.core.symbol import Symbol +from sympy.functions.elementary.exponential import exp +from sympy.integrals.integrals import Integral +from sympy.printing.repr import srepr +from sympy.utilities.decorator import doctest_depends_on + + +matchpy = import_module("matchpy") + + +__doctest_requires__ = {('*',): ['matchpy']} + + +if matchpy: + from matchpy import Operation, CommutativeOperation, AssociativeOperation, OneIdentityOperation + from matchpy.expressions.functions import op_iter, create_operation_expression, op_len + + Operation.register(Integral) + Operation.register(Pow) + OneIdentityOperation.register(Pow) + + Operation.register(Add) + OneIdentityOperation.register(Add) + CommutativeOperation.register(Add) + AssociativeOperation.register(Add) + + Operation.register(Mul) + OneIdentityOperation.register(Mul) + CommutativeOperation.register(Mul) + AssociativeOperation.register(Mul) + + Operation.register(Equality) + CommutativeOperation.register(Equality) + Operation.register(Unequality) + CommutativeOperation.register(Unequality) + + Operation.register(exp) + Operation.register(log) + Operation.register(gamma) + Operation.register(uppergamma) + Operation.register(fresnels) + Operation.register(fresnelc) + Operation.register(erf) + Operation.register(Ei) + Operation.register(erfc) + Operation.register(erfi) + Operation.register(sin) + Operation.register(cos) + Operation.register(tan) + Operation.register(cot) + Operation.register(csc) + Operation.register(sec) + Operation.register(sinh) + Operation.register(cosh) + Operation.register(tanh) + Operation.register(coth) + Operation.register(csch) + Operation.register(sech) + Operation.register(asin) + Operation.register(acos) + Operation.register(atan) + Operation.register(acot) + Operation.register(acsc) + Operation.register(asec) + Operation.register(asinh) + Operation.register(acosh) + Operation.register(atanh) + Operation.register(acoth) + Operation.register(acsch) + Operation.register(asech) + + @op_iter.register(Integral) # type: ignore + def _(operation): + return iter((operation._args[0],) + operation._args[1]) + + @op_iter.register(Basic) # type: ignore + def _(operation): + return iter(operation._args) + + @op_len.register(Integral) # type: ignore + def _(operation): + return 1 + len(operation._args[1]) + + @op_len.register(Basic) # type: ignore + def _(operation): + return len(operation._args) + + @create_operation_expression.register(Basic) + def sympy_op_factory(old_operation, new_operands, variable_name=True): + return type(old_operation)(*new_operands) + + +if matchpy: + from matchpy import Wildcard +else: + class Wildcard: # type: ignore + def __init__(self, min_length, fixed_size, variable_name, optional): + self.min_count = min_length + self.fixed_size = fixed_size + self.variable_name = variable_name + self.optional = optional + + +@doctest_depends_on(modules=('matchpy',)) +class _WildAbstract(Wildcard, Symbol): + min_length: int # abstract field required in subclasses + fixed_size: bool # abstract field required in subclasses + + def __init__(self, variable_name=None, optional=None, **assumptions): + min_length = self.min_length + fixed_size = self.fixed_size + if optional is not None: + optional = _sympify(optional) + Wildcard.__init__(self, min_length, fixed_size, str(variable_name), optional) + + def __getstate__(self): + return { + "min_length": self.min_length, + "fixed_size": self.fixed_size, + "min_count": self.min_count, + "variable_name": self.variable_name, + "optional": self.optional, + } + + def __new__(cls, variable_name=None, optional=None, **assumptions): + cls._sanitize(assumptions, cls) + return _WildAbstract.__xnew__(cls, variable_name, optional, **assumptions) + + def __getnewargs__(self): + return self.variable_name, self.optional + + @staticmethod + def __xnew__(cls, variable_name=None, optional=None, **assumptions): + obj = Symbol.__xnew__(cls, variable_name, **assumptions) + return obj + + def _hashable_content(self): + if self.optional: + return super()._hashable_content() + (self.min_count, self.fixed_size, self.variable_name, self.optional) + else: + return super()._hashable_content() + (self.min_count, self.fixed_size, self.variable_name) + + def __copy__(self) -> '_WildAbstract': + return type(self)(variable_name=self.variable_name, optional=self.optional) + + def __repr__(self): + return str(self) + + def __str__(self): + return self.name + + +@doctest_depends_on(modules=('matchpy',)) +class WildDot(_WildAbstract): + min_length = 1 + fixed_size = True + + +@doctest_depends_on(modules=('matchpy',)) +class WildPlus(_WildAbstract): + min_length = 1 + fixed_size = False + + +@doctest_depends_on(modules=('matchpy',)) +class WildStar(_WildAbstract): + min_length = 0 + fixed_size = False + + +def _get_srepr(expr): + s = srepr(expr) + s = re.sub(r"WildDot\('(\w+)'\)", r"\1", s) + s = re.sub(r"WildPlus\('(\w+)'\)", r"*\1", s) + s = re.sub(r"WildStar\('(\w+)'\)", r"*\1", s) + return s + + +class ReplacementInfo(NamedTuple): + replacement: Any + info: Any + + +@doctest_depends_on(modules=('matchpy',)) +class Replacer: + """ + Replacer object to perform multiple pattern matching and subexpression + replacements in SymPy expressions. + + Examples + ======== + + Example to construct a simple first degree equation solver: + + >>> from sympy.utilities.matchpy_connector import WildDot, Replacer + >>> from sympy import Equality, Symbol + >>> x = Symbol("x") + >>> a_ = WildDot("a_", optional=1) + >>> b_ = WildDot("b_", optional=0) + + The lines above have defined two wildcards, ``a_`` and ``b_``, the + coefficients of the equation `a x + b = 0`. The optional values specified + indicate which expression to return in case no match is found, they are + necessary in equations like `a x = 0` and `x + b = 0`. + + Create two constraints to make sure that ``a_`` and ``b_`` will not match + any expression containing ``x``: + + >>> from matchpy import CustomConstraint + >>> free_x_a = CustomConstraint(lambda a_: not a_.has(x)) + >>> free_x_b = CustomConstraint(lambda b_: not b_.has(x)) + + Now create the rule replacer with the constraints: + + >>> replacer = Replacer(common_constraints=[free_x_a, free_x_b]) + + Add the matching rule: + + >>> replacer.add(Equality(a_*x + b_, 0), -b_/a_) + + Let's try it: + + >>> replacer.replace(Equality(3*x + 4, 0)) + -4/3 + + Notice that it will not match equations expressed with other patterns: + + >>> eq = Equality(3*x, 4) + >>> replacer.replace(eq) + Eq(3*x, 4) + + In order to extend the matching patterns, define another one (we also need + to clear the cache, because the previous result has already been memorized + and the pattern matcher will not iterate again if given the same expression) + + >>> replacer.add(Equality(a_*x, b_), b_/a_) + >>> replacer._matcher.clear() + >>> replacer.replace(eq) + 4/3 + """ + + def __init__(self, common_constraints: list = [], lambdify: bool = False, info: bool = False): + self._matcher = matchpy.ManyToOneMatcher() + self._common_constraint = common_constraints + self._lambdify = lambdify + self._info = info + self._wildcards: Dict[str, Wildcard] = {} + + def _get_lambda(self, lambda_str: str) -> Callable[..., Expr]: + exec("from sympy import *") + return eval(lambda_str, locals()) + + def _get_custom_constraint(self, constraint_expr: Expr, condition_template: str) -> Callable[..., Expr]: + wilds = [x.name for x in constraint_expr.atoms(_WildAbstract)] + lambdaargs = ', '.join(wilds) + fullexpr = _get_srepr(constraint_expr) + condition = condition_template.format(fullexpr) + return matchpy.CustomConstraint( + self._get_lambda(f"lambda {lambdaargs}: ({condition})")) + + def _get_custom_constraint_nonfalse(self, constraint_expr: Expr) -> Callable[..., Expr]: + return self._get_custom_constraint(constraint_expr, "({}) != False") + + def _get_custom_constraint_true(self, constraint_expr: Expr) -> Callable[..., Expr]: + return self._get_custom_constraint(constraint_expr, "({}) == True") + + def add(self, expr: Expr, replacement, conditions_true: List[Expr] = [], + conditions_nonfalse: List[Expr] = [], info: Any = None) -> None: + expr = _sympify(expr) + replacement = _sympify(replacement) + constraints = self._common_constraint[:] + constraint_conditions_true = [ + self._get_custom_constraint_true(cond) for cond in conditions_true] + constraint_conditions_nonfalse = [ + self._get_custom_constraint_nonfalse(cond) for cond in conditions_nonfalse] + constraints.extend(constraint_conditions_true) + constraints.extend(constraint_conditions_nonfalse) + pattern = matchpy.Pattern(expr, *constraints) + if self._lambdify: + lambda_str = f"lambda {', '.join((x.name for x in expr.atoms(_WildAbstract)))}: {_get_srepr(replacement)}" + lambda_expr = self._get_lambda(lambda_str) + replacement = lambda_expr + else: + self._wildcards.update({str(i): i for i in expr.atoms(Wildcard)}) + if self._info: + replacement = ReplacementInfo(replacement, info) + self._matcher.add(pattern, replacement) + + def replace(self, expression, max_count: int = -1): + # This method partly rewrites the .replace method of ManyToOneReplacer + # in MatchPy. + # License: https://github.com/HPAC/matchpy/blob/master/LICENSE + infos = [] + replaced = True + replace_count = 0 + while replaced and (max_count < 0 or replace_count < max_count): + replaced = False + for subexpr, pos in matchpy.preorder_iter_with_position(expression): + try: + replacement_data, subst = next(iter(self._matcher.match(subexpr))) + if self._info: + replacement = replacement_data.replacement + infos.append(replacement_data.info) + else: + replacement = replacement_data + + if self._lambdify: + result = replacement(**subst) + else: + result = replacement.xreplace({self._wildcards[k]: v for k, v in subst.items()}) + + expression = matchpy.functions.replace(expression, pos, result) + replaced = True + break + except StopIteration: + pass + replace_count += 1 + if self._info: + return expression, infos + else: + return expression diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/memoization.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/memoization.py new file mode 100644 index 0000000000000000000000000000000000000000..b638dfe244628096108ea689b664782f6538b7b8 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/memoization.py @@ -0,0 +1,76 @@ +from functools import wraps + + +def recurrence_memo(initial): + """ + Memo decorator for sequences defined by recurrence + + Examples + ======== + + >>> from sympy.utilities.memoization import recurrence_memo + >>> @recurrence_memo([1]) # 0! = 1 + ... def factorial(n, prev): + ... return n * prev[-1] + >>> factorial(4) + 24 + >>> factorial(3) # use cache values + 6 + >>> factorial.cache_length() # cache length can be obtained + 5 + >>> factorial.fetch_item(slice(2, 4)) + [2, 6] + + """ + cache = initial + + def decorator(f): + @wraps(f) + def g(n): + L = len(cache) + if n < L: + return cache[n] + for i in range(L, n + 1): + cache.append(f(i, cache)) + return cache[-1] + g.cache_length = lambda: len(cache) + g.fetch_item = lambda x: cache[x] + return g + return decorator + + +def assoc_recurrence_memo(base_seq): + """ + Memo decorator for associated sequences defined by recurrence starting from base + + base_seq(n) -- callable to get base sequence elements + + XXX works only for Pn0 = base_seq(0) cases + XXX works only for m <= n cases + """ + + cache = [] + + def decorator(f): + @wraps(f) + def g(n, m): + L = len(cache) + if n < L: + return cache[n][m] + + for i in range(L, n + 1): + # get base sequence + F_i0 = base_seq(i) + F_i_cache = [F_i0] + cache.append(F_i_cache) + + # XXX only works for m <= n cases + # generate assoc sequence + for j in range(1, i + 1): + F_ij = f(i, j, cache) + F_i_cache.append(F_ij) + + return cache[n][m] + + return g + return decorator diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/misc.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/misc.py new file mode 100644 index 0000000000000000000000000000000000000000..741b983f03272890b22f2545f67b141767507634 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/misc.py @@ -0,0 +1,564 @@ +"""Miscellaneous stuff that does not really fit anywhere else.""" + +from __future__ import annotations + +import operator +import sys +import os +import re as _re +import struct +from textwrap import fill, dedent + + +class Undecidable(ValueError): + # an error to be raised when a decision cannot be made definitively + # where a definitive answer is needed + pass + + +def filldedent(s, w=70, **kwargs): + """ + Strips leading and trailing empty lines from a copy of ``s``, then dedents, + fills and returns it. + + Empty line stripping serves to deal with docstrings like this one that + start with a newline after the initial triple quote, inserting an empty + line at the beginning of the string. + + Additional keyword arguments will be passed to ``textwrap.fill()``. + + See Also + ======== + strlines, rawlines + + """ + return '\n' + fill(dedent(str(s)).strip('\n'), width=w, **kwargs) + + +def strlines(s, c=64, short=False): + """Return a cut-and-pastable string that, when printed, is + equivalent to the input. The lines will be surrounded by + parentheses and no line will be longer than c (default 64) + characters. If the line contains newlines characters, the + `rawlines` result will be returned. If ``short`` is True + (default is False) then if there is one line it will be + returned without bounding parentheses. + + Examples + ======== + + >>> from sympy.utilities.misc import strlines + >>> q = 'this is a long string that should be broken into shorter lines' + >>> print(strlines(q, 40)) + ( + 'this is a long string that should be b' + 'roken into shorter lines' + ) + >>> q == ( + ... 'this is a long string that should be b' + ... 'roken into shorter lines' + ... ) + True + + See Also + ======== + filldedent, rawlines + """ + if not isinstance(s, str): + raise ValueError('expecting string input') + if '\n' in s: + return rawlines(s) + q = '"' if repr(s).startswith('"') else "'" + q = (q,)*2 + if '\\' in s: # use r-string + m = '(\nr%s%%s%s\n)' % q + j = '%s\nr%s' % q + c -= 3 + else: + m = '(\n%s%%s%s\n)' % q + j = '%s\n%s' % q + c -= 2 + out = [] + while s: + out.append(s[:c]) + s=s[c:] + if short and len(out) == 1: + return (m % out[0]).splitlines()[1] # strip bounding (\n...\n) + return m % j.join(out) + + +def rawlines(s): + """Return a cut-and-pastable string that, when printed, is equivalent + to the input. Use this when there is more than one line in the + string. The string returned is formatted so it can be indented + nicely within tests; in some cases it is wrapped in the dedent + function which has to be imported from textwrap. + + Examples + ======== + + Note: because there are characters in the examples below that need + to be escaped because they are themselves within a triple quoted + docstring, expressions below look more complicated than they would + be if they were printed in an interpreter window. + + >>> from sympy.utilities.misc import rawlines + >>> from sympy import TableForm + >>> s = str(TableForm([[1, 10]], headings=(None, ['a', 'bee']))) + >>> print(rawlines(s)) + ( + 'a bee\\n' + '-----\\n' + '1 10 ' + ) + >>> print(rawlines('''this + ... that''')) + dedent('''\\ + this + that''') + + >>> print(rawlines('''this + ... that + ... ''')) + dedent('''\\ + this + that + ''') + + >>> s = \"\"\"this + ... is a triple ''' + ... \"\"\" + >>> print(rawlines(s)) + dedent(\"\"\"\\ + this + is a triple ''' + \"\"\") + + >>> print(rawlines('''this + ... that + ... ''')) + ( + 'this\\n' + 'that\\n' + ' ' + ) + + See Also + ======== + filldedent, strlines + """ + lines = s.split('\n') + if len(lines) == 1: + return repr(lines[0]) + triple = ["'''" in s, '"""' in s] + if any(li.endswith(' ') for li in lines) or '\\' in s or all(triple): + rv = [] + # add on the newlines + trailing = s.endswith('\n') + last = len(lines) - 1 + for i, li in enumerate(lines): + if i != last or trailing: + rv.append(repr(li + '\n')) + else: + rv.append(repr(li)) + return '(\n %s\n)' % '\n '.join(rv) + else: + rv = '\n '.join(lines) + if triple[0]: + return 'dedent("""\\\n %s""")' % rv + else: + return "dedent('''\\\n %s''')" % rv + +ARCH = str(struct.calcsize('P') * 8) + "-bit" + + +# XXX: PyPy does not support hash randomization +HASH_RANDOMIZATION = getattr(sys.flags, 'hash_randomization', False) + +_debug_tmp: list[str] = [] +_debug_iter = 0 + +def debug_decorator(func): + """If SYMPY_DEBUG is True, it will print a nice execution tree with + arguments and results of all decorated functions, else do nothing. + """ + from sympy import SYMPY_DEBUG + + if not SYMPY_DEBUG: + return func + + def maketree(f, *args, **kw): + global _debug_tmp, _debug_iter + oldtmp = _debug_tmp + _debug_tmp = [] + _debug_iter += 1 + + def tree(subtrees): + def indent(s, variant=1): + x = s.split("\n") + r = "+-%s\n" % x[0] + for a in x[1:]: + if a == "": + continue + if variant == 1: + r += "| %s\n" % a + else: + r += " %s\n" % a + return r + if len(subtrees) == 0: + return "" + f = [] + for a in subtrees[:-1]: + f.append(indent(a)) + f.append(indent(subtrees[-1], 2)) + return ''.join(f) + + # If there is a bug and the algorithm enters an infinite loop, enable the + # following lines. It will print the names and parameters of all major functions + # that are called, *before* they are called + #from functools import reduce + #print("%s%s %s%s" % (_debug_iter, reduce(lambda x, y: x + y, \ + # map(lambda x: '-', range(1, 2 + _debug_iter))), f.__name__, args)) + + r = f(*args, **kw) + + _debug_iter -= 1 + s = "%s%s = %s\n" % (f.__name__, args, r) + if _debug_tmp != []: + s += tree(_debug_tmp) + _debug_tmp = oldtmp + _debug_tmp.append(s) + if _debug_iter == 0: + print(_debug_tmp[0]) + _debug_tmp = [] + return r + + def decorated(*args, **kwargs): + return maketree(func, *args, **kwargs) + + return decorated + + +def debug(*args): + """ + Print ``*args`` if SYMPY_DEBUG is True, else do nothing. + """ + from sympy import SYMPY_DEBUG + if SYMPY_DEBUG: + print(*args, file=sys.stderr) + + +def debugf(string, args): + """ + Print ``string%args`` if SYMPY_DEBUG is True, else do nothing. This is + intended for debug messages using formatted strings. + """ + from sympy import SYMPY_DEBUG + if SYMPY_DEBUG: + print(string%args, file=sys.stderr) + + +def find_executable(executable, path=None): + """Try to find 'executable' in the directories listed in 'path' (a + string listing directories separated by 'os.pathsep'; defaults to + os.environ['PATH']). Returns the complete filename or None if not + found + """ + from .exceptions import sympy_deprecation_warning + sympy_deprecation_warning( + """ + sympy.utilities.misc.find_executable() is deprecated. Use the standard + library shutil.which() function instead. + """, + deprecated_since_version="1.7", + active_deprecations_target="deprecated-find-executable", + ) + if path is None: + path = os.environ['PATH'] + paths = path.split(os.pathsep) + extlist = [''] + if os.name == 'os2': + (base, ext) = os.path.splitext(executable) + # executable files on OS/2 can have an arbitrary extension, but + # .exe is automatically appended if no dot is present in the name + if not ext: + executable = executable + ".exe" + elif sys.platform == 'win32': + pathext = os.environ['PATHEXT'].lower().split(os.pathsep) + (base, ext) = os.path.splitext(executable) + if ext.lower() not in pathext: + extlist = pathext + for ext in extlist: + execname = executable + ext + if os.path.isfile(execname): + return execname + else: + for p in paths: + f = os.path.join(p, execname) + if os.path.isfile(f): + return f + + return None + + +def func_name(x, short=False): + """Return function name of `x` (if defined) else the `type(x)`. + If short is True and there is a shorter alias for the result, + return the alias. + + Examples + ======== + + >>> from sympy.utilities.misc import func_name + >>> from sympy import Matrix + >>> from sympy.abc import x + >>> func_name(Matrix.eye(3)) + 'MutableDenseMatrix' + >>> func_name(x < 1) + 'StrictLessThan' + >>> func_name(x < 1, short=True) + 'Lt' + """ + alias = { + 'GreaterThan': 'Ge', + 'StrictGreaterThan': 'Gt', + 'LessThan': 'Le', + 'StrictLessThan': 'Lt', + 'Equality': 'Eq', + 'Unequality': 'Ne', + } + typ = type(x) + if str(typ).startswith(">> from sympy.utilities.misc import _replace + >>> f = _replace(dict(foo='bar', d='t')) + >>> f('food') + 'bart' + >>> f = _replace({}) + >>> f('food') + 'food' + """ + if not reps: + return lambda x: x + D = lambda match: reps[match.group(0)] + pattern = _re.compile("|".join( + [_re.escape(k) for k, v in reps.items()]), _re.MULTILINE) + return lambda string: pattern.sub(D, string) + + +def replace(string, *reps): + """Return ``string`` with all keys in ``reps`` replaced with + their corresponding values, longer strings first, irrespective + of the order they are given. ``reps`` may be passed as tuples + or a single mapping. + + Examples + ======== + + >>> from sympy.utilities.misc import replace + >>> replace('foo', {'oo': 'ar', 'f': 'b'}) + 'bar' + >>> replace("spamham sha", ("spam", "eggs"), ("sha","md5")) + 'eggsham md5' + + There is no guarantee that a unique answer will be + obtained if keys in a mapping overlap (i.e. are the same + length and have some identical sequence at the + beginning/end): + + >>> reps = [ + ... ('ab', 'x'), + ... ('bc', 'y')] + >>> replace('abc', *reps) in ('xc', 'ay') + True + + References + ========== + + .. [1] https://stackoverflow.com/questions/6116978/how-to-replace-multiple-substrings-of-a-string + """ + if len(reps) == 1: + kv = reps[0] + if isinstance(kv, dict): + reps = kv + else: + return string.replace(*kv) + else: + reps = dict(reps) + return _replace(reps)(string) + + +def translate(s, a, b=None, c=None): + """Return ``s`` where characters have been replaced or deleted. + + SYNTAX + ====== + + translate(s, None, deletechars): + all characters in ``deletechars`` are deleted + translate(s, map [,deletechars]): + all characters in ``deletechars`` (if provided) are deleted + then the replacements defined by map are made; if the keys + of map are strings then the longer ones are handled first. + Multicharacter deletions should have a value of ''. + translate(s, oldchars, newchars, deletechars) + all characters in ``deletechars`` are deleted + then each character in ``oldchars`` is replaced with the + corresponding character in ``newchars`` + + Examples + ======== + + >>> from sympy.utilities.misc import translate + >>> abc = 'abc' + >>> translate(abc, None, 'a') + 'bc' + >>> translate(abc, {'a': 'x'}, 'c') + 'xb' + >>> translate(abc, {'abc': 'x', 'a': 'y'}) + 'x' + + >>> translate('abcd', 'ac', 'AC', 'd') + 'AbC' + + There is no guarantee that a unique answer will be + obtained if keys in a mapping overlap are the same + length and have some identical sequences at the + beginning/end: + + >>> translate(abc, {'ab': 'x', 'bc': 'y'}) in ('xc', 'ay') + True + """ + + mr = {} + if a is None: + if c is not None: + raise ValueError('c should be None when a=None is passed, instead got %s' % c) + if b is None: + return s + c = b + a = b = '' + else: + if isinstance(a, dict): + short = {} + for k in list(a.keys()): + if len(k) == 1 and len(a[k]) == 1: + short[k] = a.pop(k) + mr = a + c = b + if short: + a, b = [''.join(i) for i in list(zip(*short.items()))] + else: + a = b = '' + elif len(a) != len(b): + raise ValueError('oldchars and newchars have different lengths') + + if c: + val = str.maketrans('', '', c) + s = s.translate(val) + s = replace(s, mr) + n = str.maketrans(a, b) + return s.translate(n) + + +def ordinal(num): + """Return ordinal number string of num, e.g. 1 becomes 1st. + """ + # modified from https://codereview.stackexchange.com/questions/41298/producing-ordinal-numbers + n = as_int(num) + k = abs(n) % 100 + if 11 <= k <= 13: + suffix = 'th' + elif k % 10 == 1: + suffix = 'st' + elif k % 10 == 2: + suffix = 'nd' + elif k % 10 == 3: + suffix = 'rd' + else: + suffix = 'th' + return str(n) + suffix + + +def as_int(n, strict=True): + """ + Convert the argument to a builtin integer. + + The return value is guaranteed to be equal to the input. ValueError is + raised if the input has a non-integral value. When ``strict`` is True, this + uses `__index__ `_ + and when it is False it uses ``int``. + + + Examples + ======== + + >>> from sympy.utilities.misc import as_int + >>> from sympy import sqrt, S + + The function is primarily concerned with sanitizing input for + functions that need to work with builtin integers, so anything that + is unambiguously an integer should be returned as an int: + + >>> as_int(S(3)) + 3 + + Floats, being of limited precision, are not assumed to be exact and + will raise an error unless the ``strict`` flag is False. This + precision issue becomes apparent for large floating point numbers: + + >>> big = 1e23 + >>> type(big) is float + True + >>> big == int(big) + True + >>> as_int(big) + Traceback (most recent call last): + ... + ValueError: ... is not an integer + >>> as_int(big, strict=False) + 99999999999999991611392 + + Input that might be a complex representation of an integer value is + also rejected by default: + + >>> one = sqrt(3 + 2*sqrt(2)) - sqrt(2) + >>> int(one) == 1 + True + >>> as_int(one) + Traceback (most recent call last): + ... + ValueError: ... is not an integer + """ + if strict: + try: + if isinstance(n, bool): + raise TypeError + return operator.index(n) + except TypeError: + raise ValueError('%s is not an integer' % (n,)) + else: + try: + result = int(n) + except TypeError: + raise ValueError('%s is not an integer' % (n,)) + if n - result: + raise ValueError('%s is not an integer' % (n,)) + return result diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/pkgdata.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/pkgdata.py new file mode 100644 index 0000000000000000000000000000000000000000..8bf2065759362ee09a252d4736bd612b8d271e72 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/pkgdata.py @@ -0,0 +1,33 @@ +# This module is deprecated and will be removed. + +import sys +import os +from io import StringIO + +from sympy.utilities.decorator import deprecated + + +@deprecated( + """ + The sympy.utilities.pkgdata module and its get_resource function are + deprecated. Use the stdlib importlib.resources module instead. + """, + deprecated_since_version="1.12", + active_deprecations_target="pkgdata", +) +def get_resource(identifier, pkgname=__name__): + + mod = sys.modules[pkgname] + fn = getattr(mod, '__file__', None) + if fn is None: + raise OSError("%r has no __file__!") + path = os.path.join(os.path.dirname(fn), identifier) + loader = getattr(mod, '__loader__', None) + if loader is not None: + try: + data = loader.get_data(path) + except (OSError, AttributeError): + pass + else: + return StringIO(data.decode('utf-8')) + return open(os.path.normpath(path), 'rb') diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/pytest.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/pytest.py new file mode 100644 index 0000000000000000000000000000000000000000..75494c8e987c7b89bddf18febe09fdc3df2b194e --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/pytest.py @@ -0,0 +1,12 @@ +""" +.. deprecated:: 1.6 + + sympy.utilities.pytest has been renamed to sympy.testing.pytest. +""" +from sympy.utilities.exceptions import sympy_deprecation_warning + +sympy_deprecation_warning("The sympy.utilities.pytest submodule is deprecated. Use sympy.testing.pytest instead.", + deprecated_since_version="1.6", + active_deprecations_target="deprecated-sympy-utilities-submodules") + +from sympy.testing.pytest import * # noqa:F401,F403 diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/randtest.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/randtest.py new file mode 100644 index 0000000000000000000000000000000000000000..1bd3472ed8a89198d9e78e125f16dae1a56f6bad --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/randtest.py @@ -0,0 +1,12 @@ +""" +.. deprecated:: 1.6 + + sympy.utilities.randtest has been renamed to sympy.core.random. +""" +from sympy.utilities.exceptions import sympy_deprecation_warning + +sympy_deprecation_warning("The sympy.utilities.randtest submodule is deprecated. Use sympy.core.random instead.", + deprecated_since_version="1.6", + active_deprecations_target="deprecated-sympy-utilities-submodules") + +from sympy.core.random import * # noqa:F401,F403 diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/runtests.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/runtests.py new file mode 100644 index 0000000000000000000000000000000000000000..bb9f760f070be528e8cd51ab38e00bc944dda9ac --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/runtests.py @@ -0,0 +1,13 @@ +""" +.. deprecated:: 1.6 + + sympy.utilities.runtests has been renamed to sympy.testing.runtests. +""" + +from sympy.utilities.exceptions import sympy_deprecation_warning + +sympy_deprecation_warning("The sympy.utilities.runtests submodule is deprecated. Use sympy.testing.runtests instead.", + deprecated_since_version="1.6", + active_deprecations_target="deprecated-sympy-utilities-submodules") + +from sympy.testing.runtests import * # noqa: F401,F403 diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/source.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/source.py new file mode 100644 index 0000000000000000000000000000000000000000..71692b4aaad07df70b63d7e1eaa86c402ad03c4f --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/source.py @@ -0,0 +1,40 @@ +""" +This module adds several functions for interactive source code inspection. +""" + + +def get_class(lookup_view): + """ + Convert a string version of a class name to the object. + + For example, get_class('sympy.core.Basic') will return + class Basic located in module sympy.core + """ + if isinstance(lookup_view, str): + mod_name, func_name = get_mod_func(lookup_view) + if func_name != '': + lookup_view = getattr( + __import__(mod_name, {}, {}, ['*']), func_name) + if not callable(lookup_view): + raise AttributeError( + "'%s.%s' is not a callable." % (mod_name, func_name)) + return lookup_view + + +def get_mod_func(callback): + """ + splits the string path to a class into a string path to the module + and the name of the class. + + Examples + ======== + + >>> from sympy.utilities.source import get_mod_func + >>> get_mod_func('sympy.core.basic.Basic') + ('sympy.core.basic', 'Basic') + + """ + dot = callback.rfind('.') + if dot == -1: + return callback, '' + return callback[:dot], callback[dot + 1:] diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/timeutils.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/timeutils.py new file mode 100644 index 0000000000000000000000000000000000000000..1caae825103335f3e8afedeaf741cff2b0414fb2 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/timeutils.py @@ -0,0 +1,75 @@ +"""Simple tools for timing functions' execution, when IPython is not available. """ + + +import timeit +import math + + +_scales = [1e0, 1e3, 1e6, 1e9] +_units = ['s', 'ms', '\N{GREEK SMALL LETTER MU}s', 'ns'] + + +def timed(func, setup="pass", limit=None): + """Adaptively measure execution time of a function. """ + timer = timeit.Timer(func, setup=setup) + repeat, number = 3, 1 + + for i in range(1, 10): + if timer.timeit(number) >= 0.2: + break + elif limit is not None and number >= limit: + break + else: + number *= 10 + + time = min(timer.repeat(repeat, number)) / number + + if time > 0.0: + order = min(-int(math.floor(math.log10(time)) // 3), 3) + else: + order = 3 + + return (number, time, time*_scales[order], _units[order]) + + +# Code for doing inline timings of recursive algorithms. + +def __do_timings(): + import os + res = os.getenv('SYMPY_TIMINGS', '') + res = [x.strip() for x in res.split(',')] + return set(res) + +_do_timings = __do_timings() +_timestack = None + + +def _print_timestack(stack, level=1): + print('-'*level, '%.2f %s%s' % (stack[2], stack[0], stack[3])) + for s in stack[1]: + _print_timestack(s, level + 1) + + +def timethis(name): + def decorator(func): + if name not in _do_timings: + return func + + def wrapper(*args, **kwargs): + from time import time + global _timestack + oldtimestack = _timestack + _timestack = [func.func_name, [], 0, args] + t1 = time() + r = func(*args, **kwargs) + t2 = time() + _timestack[2] = t2 - t1 + if oldtimestack is not None: + oldtimestack[1].append(_timestack) + _timestack = oldtimestack + else: + _print_timestack(_timestack) + _timestack = None + return r + return wrapper + return decorator diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/tmpfiles.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/tmpfiles.py new file mode 100644 index 0000000000000000000000000000000000000000..81c97efbf9d67cc20f25ff251abc94c2f5bafe06 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/utilities/tmpfiles.py @@ -0,0 +1,12 @@ +""" +.. deprecated:: 1.6 + + sympy.utilities.tmpfiles has been renamed to sympy.testing.tmpfiles. +""" +from sympy.utilities.exceptions import sympy_deprecation_warning + +sympy_deprecation_warning("The sympy.utilities.tmpfiles submodule is deprecated. Use sympy.testing.tmpfiles instead.", + deprecated_since_version="1.6", + active_deprecations_target="deprecated-sympy-utilities-submodules") + +from sympy.testing.tmpfiles import * # noqa:F401,F403 diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/vector/__init__.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/vector/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..f6757bbeb35022481b1cf183373ecccd19779faa --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/vector/__init__.py @@ -0,0 +1,50 @@ +from sympy.vector.coordsysrect import CoordSys3D +from sympy.vector.vector import (Vector, VectorAdd, VectorMul, + BaseVector, VectorZero, Cross, Dot, cross, dot) +from sympy.vector.dyadic import (Dyadic, DyadicAdd, DyadicMul, + BaseDyadic, DyadicZero) +from sympy.vector.scalar import BaseScalar +from sympy.vector.deloperator import Del +from sympy.vector.functions import (express, matrix_to_vector, + laplacian, is_conservative, + is_solenoidal, scalar_potential, + directional_derivative, + scalar_potential_difference) +from sympy.vector.point import Point +from sympy.vector.orienters import (AxisOrienter, BodyOrienter, + SpaceOrienter, QuaternionOrienter) +from sympy.vector.operators import Gradient, Divergence, Curl, Laplacian, gradient, curl, divergence +from sympy.vector.implicitregion import ImplicitRegion +from sympy.vector.parametricregion import (ParametricRegion, parametric_region_list) +from sympy.vector.integrals import (ParametricIntegral, vector_integrate) +from sympy.vector.kind import VectorKind + +__all__ = [ + 'Vector', 'VectorAdd', 'VectorMul', 'BaseVector', 'VectorZero', 'Cross', + 'Dot', 'cross', 'dot', + + 'VectorKind', + + 'Dyadic', 'DyadicAdd', 'DyadicMul', 'BaseDyadic', 'DyadicZero', + + 'BaseScalar', + + 'Del', + + 'CoordSys3D', + + 'express', 'matrix_to_vector', 'laplacian', 'is_conservative', + 'is_solenoidal', 'scalar_potential', 'directional_derivative', + 'scalar_potential_difference', + + 'Point', + + 'AxisOrienter', 'BodyOrienter', 'SpaceOrienter', 'QuaternionOrienter', + + 'Gradient', 'Divergence', 'Curl', 'Laplacian', 'gradient', 'curl', + 'divergence', + + 'ParametricRegion', 'parametric_region_list', 'ImplicitRegion', + + 'ParametricIntegral', 'vector_integrate', +] diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/vector/basisdependent.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/vector/basisdependent.py new file mode 100644 index 0000000000000000000000000000000000000000..53e4efc0bf839fb5a5de2d1af1487683fabd8cf1 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/vector/basisdependent.py @@ -0,0 +1,374 @@ +from __future__ import annotations +from typing import TYPE_CHECKING + +from sympy.simplify import simplify as simp, trigsimp as tsimp # type: ignore +from sympy.core.decorators import call_highest_priority, _sympifyit +from sympy.core.assumptions import StdFactKB +from sympy.core.function import diff as df +from sympy.integrals.integrals import Integral +from sympy.polys.polytools import factor as fctr +from sympy.core import S, Add, Mul +from sympy.core.expr import Expr + +if TYPE_CHECKING: + from sympy.vector.vector import BaseVector + + +class BasisDependent(Expr): + """ + Super class containing functionality common to vectors and + dyadics. + Named so because the representation of these quantities in + sympy.vector is dependent on the basis they are expressed in. + """ + + zero: BasisDependentZero + + @call_highest_priority('__radd__') + def __add__(self, other): + return self._add_func(self, other) + + @call_highest_priority('__add__') + def __radd__(self, other): + return self._add_func(other, self) + + @call_highest_priority('__rsub__') + def __sub__(self, other): + return self._add_func(self, -other) + + @call_highest_priority('__sub__') + def __rsub__(self, other): + return self._add_func(other, -self) + + @_sympifyit('other', NotImplemented) + @call_highest_priority('__rmul__') + def __mul__(self, other): + return self._mul_func(self, other) + + @_sympifyit('other', NotImplemented) + @call_highest_priority('__mul__') + def __rmul__(self, other): + return self._mul_func(other, self) + + def __neg__(self): + return self._mul_func(S.NegativeOne, self) + + @_sympifyit('other', NotImplemented) + @call_highest_priority('__rtruediv__') + def __truediv__(self, other): + return self._div_helper(other) + + @call_highest_priority('__truediv__') + def __rtruediv__(self, other): + return TypeError("Invalid divisor for division") + + def evalf(self, n=15, subs=None, maxn=100, chop=False, strict=False, quad=None, verbose=False): + """ + Implements the SymPy evalf routine for this quantity. + + evalf's documentation + ===================== + + """ + options = {'subs':subs, 'maxn':maxn, 'chop':chop, 'strict':strict, + 'quad':quad, 'verbose':verbose} + vec = self.zero + for k, v in self.components.items(): + vec += v.evalf(n, **options) * k + return vec + + evalf.__doc__ += Expr.evalf.__doc__ # type: ignore + + n = evalf # type: ignore + + def simplify(self, **kwargs): + """ + Implements the SymPy simplify routine for this quantity. + + simplify's documentation + ======================== + + """ + simp_components = [simp(v, **kwargs) * k for + k, v in self.components.items()] + return self._add_func(*simp_components) + + simplify.__doc__ += simp.__doc__ # type: ignore + + def trigsimp(self, **opts): + """ + Implements the SymPy trigsimp routine, for this quantity. + + trigsimp's documentation + ======================== + + """ + trig_components = [tsimp(v, **opts) * k for + k, v in self.components.items()] + return self._add_func(*trig_components) + + trigsimp.__doc__ += tsimp.__doc__ # type: ignore + + def _eval_simplify(self, **kwargs): + return self.simplify(**kwargs) + + def _eval_trigsimp(self, **opts): + return self.trigsimp(**opts) + + def _eval_derivative(self, wrt): + return self.diff(wrt) + + def _eval_Integral(self, *symbols, **assumptions): + integral_components = [Integral(v, *symbols, **assumptions) * k + for k, v in self.components.items()] + return self._add_func(*integral_components) + + def as_numer_denom(self): + """ + Returns the expression as a tuple wrt the following + transformation - + + expression -> a/b -> a, b + + """ + return self, S.One + + def factor(self, *args, **kwargs): + """ + Implements the SymPy factor routine, on the scalar parts + of a basis-dependent expression. + + factor's documentation + ======================== + + """ + fctr_components = [fctr(v, *args, **kwargs) * k for + k, v in self.components.items()] + return self._add_func(*fctr_components) + + factor.__doc__ += fctr.__doc__ # type: ignore + + def as_coeff_Mul(self, rational=False): + """Efficiently extract the coefficient of a product.""" + return (S.One, self) + + def as_coeff_add(self, *deps): + """Efficiently extract the coefficient of a summation.""" + return 0, tuple(x * self.components[x] for x in self.components) + + def diff(self, *args, **kwargs): + """ + Implements the SymPy diff routine, for vectors. + + diff's documentation + ======================== + + """ + for x in args: + if isinstance(x, BasisDependent): + raise TypeError("Invalid arg for differentiation") + diff_components = [df(v, *args, **kwargs) * k for + k, v in self.components.items()] + return self._add_func(*diff_components) + + diff.__doc__ += df.__doc__ # type: ignore + + def doit(self, **hints): + """Calls .doit() on each term in the Dyadic""" + doit_components = [self.components[x].doit(**hints) * x + for x in self.components] + return self._add_func(*doit_components) + + +class BasisDependentAdd(BasisDependent, Add): + """ + Denotes sum of basis dependent quantities such that they cannot + be expressed as base or Mul instances. + """ + + def __new__(cls, *args, **options): + components = {} + + # Check each arg and simultaneously learn the components + for arg in args: + if not isinstance(arg, cls._expr_type): + if isinstance(arg, Mul): + arg = cls._mul_func(*(arg.args)) + elif isinstance(arg, Add): + arg = cls._add_func(*(arg.args)) + else: + raise TypeError(str(arg) + + " cannot be interpreted correctly") + # If argument is zero, ignore + if arg == cls.zero: + continue + # Else, update components accordingly + for x in arg.components: + components[x] = components.get(x, 0) + arg.components[x] + + temp = list(components.keys()) + for x in temp: + if components[x] == 0: + del components[x] + + # Handle case of zero vector + if len(components) == 0: + return cls.zero + + # Build object + newargs = [x * components[x] for x in components] + obj = super().__new__(cls, *newargs, **options) + if isinstance(obj, Mul): + return cls._mul_func(*obj.args) + assumptions = {'commutative': True} + obj._assumptions = StdFactKB(assumptions) + obj._components = components + obj._sys = (list(components.keys()))[0]._sys + + return obj + + +class BasisDependentMul(BasisDependent, Mul): + """ + Denotes product of base- basis dependent quantity with a scalar. + """ + + def __new__(cls, *args, **options): + obj = cls._new(*args, **options) + return obj + + def _new_rawargs(self, *args): + # XXX: This is needed because Add.flatten() uses it but the default + # implementation does not work for Vectors because they assign + # attributes outside of .args. + return type(self)(*args) + + @classmethod + def _new(cls, *args, **options): + from sympy.vector import Cross, Dot, Curl, Gradient + count = 0 + measure_number = S.One + zeroflag = False + extra_args = [] + + # Determine the component and check arguments + # Also keep a count to ensure two vectors aren't + # being multiplied + for arg in args: + if isinstance(arg, cls._zero_func): + count += 1 + zeroflag = True + elif arg == S.Zero: + zeroflag = True + elif isinstance(arg, (cls._base_func, cls._mul_func)): + count += 1 + expr = arg._base_instance + measure_number *= arg._measure_number + elif isinstance(arg, cls._add_func): + count += 1 + expr = arg + elif isinstance(arg, (Cross, Dot, Curl, Gradient)): + extra_args.append(arg) + else: + measure_number *= arg + # Make sure incompatible types weren't multiplied + if count > 1: + raise ValueError("Invalid multiplication") + elif count == 0: + return Mul(*args, **options) + # Handle zero vector case + if zeroflag: + return cls.zero + + # If one of the args was a VectorAdd, return an + # appropriate VectorAdd instance + if isinstance(expr, cls._add_func): + newargs = [cls._mul_func(measure_number, x) for + x in expr.args] + return cls._add_func(*newargs) + + obj = super().__new__(cls, measure_number, + expr._base_instance, + *extra_args, + **options) + if isinstance(obj, Add): + return cls._add_func(*obj.args) + obj._base_instance = expr._base_instance + obj._measure_number = measure_number + assumptions = {'commutative': True} + obj._assumptions = StdFactKB(assumptions) + obj._components = {expr._base_instance: measure_number} + obj._sys = expr._base_instance._sys + + return obj + + def _sympystr(self, printer): + measure_str = printer._print(self._measure_number) + if ('(' in measure_str or '-' in measure_str or + '+' in measure_str): + measure_str = '(' + measure_str + ')' + return measure_str + '*' + printer._print(self._base_instance) + + +class BasisDependentZero(BasisDependent): + """ + Class to denote a zero basis dependent instance. + """ + components: dict['BaseVector', Expr] = {} + _latex_form: str + + def __new__(cls): + obj = super().__new__(cls) + # Pre-compute a specific hash value for the zero vector + # Use the same one always + obj._hash = (S.Zero, cls).__hash__() + return obj + + def __hash__(self): + return self._hash + + @call_highest_priority('__req__') + def __eq__(self, other): + return isinstance(other, self._zero_func) + + __req__ = __eq__ + + @call_highest_priority('__radd__') + def __add__(self, other): + if isinstance(other, self._expr_type): + return other + else: + raise TypeError("Invalid argument types for addition") + + @call_highest_priority('__add__') + def __radd__(self, other): + if isinstance(other, self._expr_type): + return other + else: + raise TypeError("Invalid argument types for addition") + + @call_highest_priority('__rsub__') + def __sub__(self, other): + if isinstance(other, self._expr_type): + return -other + else: + raise TypeError("Invalid argument types for subtraction") + + @call_highest_priority('__sub__') + def __rsub__(self, other): + if isinstance(other, self._expr_type): + return other + else: + raise TypeError("Invalid argument types for subtraction") + + def __neg__(self): + return self + + def normalize(self): + """ + Returns the normalized version of this vector. + """ + return self + + def _sympystr(self, printer): + return '0' diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/vector/coordsysrect.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/vector/coordsysrect.py new file mode 100644 index 0000000000000000000000000000000000000000..55539fb19dc4221de69437111f44d6a6cc70b3e4 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/vector/coordsysrect.py @@ -0,0 +1,1031 @@ +from collections.abc import Callable + +from sympy.core.basic import Basic +from sympy.core.cache import cacheit +from sympy.core import S, Dummy, Lambda +from sympy.core.symbol import Str +from sympy.core.symbol import symbols +from sympy.matrices.immutable import ImmutableDenseMatrix as Matrix +from sympy.matrices.matrixbase import MatrixBase +from sympy.solvers import solve +from sympy.vector.scalar import BaseScalar +from sympy.core.containers import Tuple +from sympy.core.function import diff +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.functions.elementary.trigonometric import (acos, atan2, cos, sin) +from sympy.matrices.dense import eye +from sympy.matrices.immutable import ImmutableDenseMatrix +from sympy.simplify.simplify import simplify +from sympy.simplify.trigsimp import trigsimp +import sympy.vector +from sympy.vector.orienters import (Orienter, AxisOrienter, BodyOrienter, + SpaceOrienter, QuaternionOrienter) + + +class CoordSys3D(Basic): + """ + Represents a coordinate system in 3-D space. + """ + + def __new__(cls, name, transformation=None, parent=None, location=None, + rotation_matrix=None, vector_names=None, variable_names=None): + """ + The orientation/location parameters are necessary if this system + is being defined at a certain orientation or location wrt another. + + Parameters + ========== + + name : str + The name of the new CoordSys3D instance. + + transformation : Lambda, Tuple, str + Transformation defined by transformation equations or chosen + from predefined ones. + + location : Vector + The position vector of the new system's origin wrt the parent + instance. + + rotation_matrix : SymPy ImmutableMatrix + The rotation matrix of the new coordinate system with respect + to the parent. In other words, the output of + new_system.rotation_matrix(parent). + + parent : CoordSys3D + The coordinate system wrt which the orientation/location + (or both) is being defined. + + vector_names, variable_names : iterable(optional) + Iterables of 3 strings each, with custom names for base + vectors and base scalars of the new system respectively. + Used for simple str printing. + + """ + + name = str(name) + Vector = sympy.vector.Vector + Point = sympy.vector.Point + + if not isinstance(name, str): + raise TypeError("name should be a string") + + if transformation is not None: + if (location is not None) or (rotation_matrix is not None): + raise ValueError("specify either `transformation` or " + "`location`/`rotation_matrix`") + if isinstance(transformation, (Tuple, tuple, list)): + if isinstance(transformation[0], MatrixBase): + rotation_matrix = transformation[0] + location = transformation[1] + else: + transformation = Lambda(transformation[0], + transformation[1]) + elif isinstance(transformation, Callable): + x1, x2, x3 = symbols('x1 x2 x3', cls=Dummy) + transformation = Lambda((x1, x2, x3), + transformation(x1, x2, x3)) + elif isinstance(transformation, str): + transformation = Str(transformation) + elif isinstance(transformation, (Str, Lambda)): + pass + else: + raise TypeError("transformation: " + "wrong type {}".format(type(transformation))) + + # If orientation information has been provided, store + # the rotation matrix accordingly + if rotation_matrix is None: + rotation_matrix = ImmutableDenseMatrix(eye(3)) + else: + if not isinstance(rotation_matrix, MatrixBase): + raise TypeError("rotation_matrix should be an Immutable" + + "Matrix instance") + rotation_matrix = rotation_matrix.as_immutable() + + # If location information is not given, adjust the default + # location as Vector.zero + if parent is not None: + if not isinstance(parent, CoordSys3D): + raise TypeError("parent should be a " + + "CoordSys3D/None") + if location is None: + location = Vector.zero + else: + if not isinstance(location, Vector): + raise TypeError("location should be a Vector") + # Check that location does not contain base + # scalars + for x in location.free_symbols: + if isinstance(x, BaseScalar): + raise ValueError("location should not contain" + + " BaseScalars") + origin = parent.origin.locate_new(name + '.origin', + location) + else: + location = Vector.zero + origin = Point(name + '.origin') + + if transformation is None: + transformation = Tuple(rotation_matrix, location) + + if isinstance(transformation, Tuple): + lambda_transformation = CoordSys3D._compose_rotation_and_translation( + transformation[0], + transformation[1], + parent + ) + r, l = transformation + l = l._projections + lambda_lame = CoordSys3D._get_lame_coeff('cartesian') + lambda_inverse = lambda x, y, z: r.inv()*Matrix( + [x-l[0], y-l[1], z-l[2]]) + elif isinstance(transformation, Str): + trname = transformation.name + lambda_transformation = CoordSys3D._get_transformation_lambdas(trname) + if parent is not None: + if parent.lame_coefficients() != (S.One, S.One, S.One): + raise ValueError('Parent for pre-defined coordinate ' + 'system should be Cartesian.') + lambda_lame = CoordSys3D._get_lame_coeff(trname) + lambda_inverse = CoordSys3D._set_inv_trans_equations(trname) + elif isinstance(transformation, Lambda): + if not CoordSys3D._check_orthogonality(transformation): + raise ValueError("The transformation equation does not " + "create orthogonal coordinate system") + lambda_transformation = transformation + lambda_lame = CoordSys3D._calculate_lame_coeff(lambda_transformation) + lambda_inverse = None + else: + lambda_transformation = lambda x, y, z: transformation(x, y, z) + lambda_lame = CoordSys3D._get_lame_coeff(transformation) + lambda_inverse = None + + if variable_names is None: + if isinstance(transformation, Lambda): + variable_names = ["x1", "x2", "x3"] + elif isinstance(transformation, Str): + if transformation.name == 'spherical': + variable_names = ["r", "theta", "phi"] + elif transformation.name == 'cylindrical': + variable_names = ["r", "theta", "z"] + else: + variable_names = ["x", "y", "z"] + else: + variable_names = ["x", "y", "z"] + if vector_names is None: + vector_names = ["i", "j", "k"] + + # All systems that are defined as 'roots' are unequal, unless + # they have the same name. + # Systems defined at same orientation/position wrt the same + # 'parent' are equal, irrespective of the name. + # This is true even if the same orientation is provided via + # different methods like Axis/Body/Space/Quaternion. + # However, coincident systems may be seen as unequal if + # positioned/oriented wrt different parents, even though + # they may actually be 'coincident' wrt the root system. + if parent is not None: + obj = super().__new__( + cls, Str(name), transformation, parent) + else: + obj = super().__new__( + cls, Str(name), transformation) + obj._name = name + # Initialize the base vectors + + _check_strings('vector_names', vector_names) + vector_names = list(vector_names) + latex_vects = [(r'\mathbf{\hat{%s}_{%s}}' % (x, name)) for + x in vector_names] + pretty_vects = ['%s_%s' % (x, name) for x in vector_names] + + obj._vector_names = vector_names + + v1 = BaseVector(0, obj, pretty_vects[0], latex_vects[0]) + v2 = BaseVector(1, obj, pretty_vects[1], latex_vects[1]) + v3 = BaseVector(2, obj, pretty_vects[2], latex_vects[2]) + + obj._base_vectors = (v1, v2, v3) + + # Initialize the base scalars + + _check_strings('variable_names', vector_names) + variable_names = list(variable_names) + latex_scalars = [(r"\mathbf{{%s}_{%s}}" % (x, name)) for + x in variable_names] + pretty_scalars = ['%s_%s' % (x, name) for x in variable_names] + + obj._variable_names = variable_names + obj._vector_names = vector_names + + x1 = BaseScalar(0, obj, pretty_scalars[0], latex_scalars[0]) + x2 = BaseScalar(1, obj, pretty_scalars[1], latex_scalars[1]) + x3 = BaseScalar(2, obj, pretty_scalars[2], latex_scalars[2]) + + obj._base_scalars = (x1, x2, x3) + + obj._transformation = transformation + obj._transformation_lambda = lambda_transformation + obj._lame_coefficients = lambda_lame(x1, x2, x3) + obj._transformation_from_parent_lambda = lambda_inverse + + setattr(obj, variable_names[0], x1) + setattr(obj, variable_names[1], x2) + setattr(obj, variable_names[2], x3) + + setattr(obj, vector_names[0], v1) + setattr(obj, vector_names[1], v2) + setattr(obj, vector_names[2], v3) + + # Assign params + obj._parent = parent + if obj._parent is not None: + obj._root = obj._parent._root + else: + obj._root = obj + + obj._parent_rotation_matrix = rotation_matrix + obj._origin = origin + + # Return the instance + return obj + + def _sympystr(self, printer): + return self._name + + def __iter__(self): + return iter(self.base_vectors()) + + @staticmethod + def _check_orthogonality(equations): + """ + Helper method for _connect_to_cartesian. It checks if + set of transformation equations create orthogonal curvilinear + coordinate system + + Parameters + ========== + + equations : Lambda + Lambda of transformation equations + + """ + + x1, x2, x3 = symbols("x1, x2, x3", cls=Dummy) + equations = equations(x1, x2, x3) + v1 = Matrix([diff(equations[0], x1), + diff(equations[1], x1), diff(equations[2], x1)]) + + v2 = Matrix([diff(equations[0], x2), + diff(equations[1], x2), diff(equations[2], x2)]) + + v3 = Matrix([diff(equations[0], x3), + diff(equations[1], x3), diff(equations[2], x3)]) + + if any(simplify(i[0] + i[1] + i[2]) == 0 for i in (v1, v2, v3)): + return False + else: + if simplify(v1.dot(v2)) == 0 and simplify(v2.dot(v3)) == 0 \ + and simplify(v3.dot(v1)) == 0: + return True + else: + return False + + @staticmethod + def _set_inv_trans_equations(curv_coord_name): + """ + Store information about inverse transformation equations for + pre-defined coordinate systems. + + Parameters + ========== + + curv_coord_name : str + Name of coordinate system + + """ + if curv_coord_name == 'cartesian': + return lambda x, y, z: (x, y, z) + + if curv_coord_name == 'spherical': + return lambda x, y, z: ( + sqrt(x**2 + y**2 + z**2), + acos(z/sqrt(x**2 + y**2 + z**2)), + atan2(y, x) + ) + if curv_coord_name == 'cylindrical': + return lambda x, y, z: ( + sqrt(x**2 + y**2), + atan2(y, x), + z + ) + raise ValueError('Wrong set of parameters.' + 'Type of coordinate system is defined') + + def _calculate_inv_trans_equations(self): + """ + Helper method for set_coordinate_type. It calculates inverse + transformation equations for given transformations equations. + + """ + x1, x2, x3 = symbols("x1, x2, x3", cls=Dummy, reals=True) + x, y, z = symbols("x, y, z", cls=Dummy) + + equations = self._transformation(x1, x2, x3) + + solved = solve([equations[0] - x, + equations[1] - y, + equations[2] - z], (x1, x2, x3), dict=True)[0] + solved = solved[x1], solved[x2], solved[x3] + self._transformation_from_parent_lambda = \ + lambda x1, x2, x3: tuple(i.subs(list(zip((x, y, z), (x1, x2, x3)))) for i in solved) + + @staticmethod + def _get_lame_coeff(curv_coord_name): + """ + Store information about Lame coefficients for pre-defined + coordinate systems. + + Parameters + ========== + + curv_coord_name : str + Name of coordinate system + + """ + if isinstance(curv_coord_name, str): + if curv_coord_name == 'cartesian': + return lambda x, y, z: (S.One, S.One, S.One) + if curv_coord_name == 'spherical': + return lambda r, theta, phi: (S.One, r, r*sin(theta)) + if curv_coord_name == 'cylindrical': + return lambda r, theta, h: (S.One, r, S.One) + raise ValueError('Wrong set of parameters.' + ' Type of coordinate system is not defined') + return CoordSys3D._calculate_lame_coefficients(curv_coord_name) + + @staticmethod + def _calculate_lame_coeff(equations): + """ + It calculates Lame coefficients + for given transformations equations. + + Parameters + ========== + + equations : Lambda + Lambda of transformation equations. + + """ + return lambda x1, x2, x3: ( + sqrt(diff(equations(x1, x2, x3)[0], x1)**2 + + diff(equations(x1, x2, x3)[1], x1)**2 + + diff(equations(x1, x2, x3)[2], x1)**2), + sqrt(diff(equations(x1, x2, x3)[0], x2)**2 + + diff(equations(x1, x2, x3)[1], x2)**2 + + diff(equations(x1, x2, x3)[2], x2)**2), + sqrt(diff(equations(x1, x2, x3)[0], x3)**2 + + diff(equations(x1, x2, x3)[1], x3)**2 + + diff(equations(x1, x2, x3)[2], x3)**2) + ) + + def _inverse_rotation_matrix(self): + """ + Returns inverse rotation matrix. + """ + return simplify(self._parent_rotation_matrix**-1) + + @staticmethod + def _get_transformation_lambdas(curv_coord_name): + """ + Store information about transformation equations for pre-defined + coordinate systems. + + Parameters + ========== + + curv_coord_name : str + Name of coordinate system + + """ + if isinstance(curv_coord_name, str): + if curv_coord_name == 'cartesian': + return lambda x, y, z: (x, y, z) + if curv_coord_name == 'spherical': + return lambda r, theta, phi: ( + r*sin(theta)*cos(phi), + r*sin(theta)*sin(phi), + r*cos(theta) + ) + if curv_coord_name == 'cylindrical': + return lambda r, theta, h: ( + r*cos(theta), + r*sin(theta), + h + ) + raise ValueError('Wrong set of parameters.' + 'Type of coordinate system is defined') + + @classmethod + def _rotation_trans_equations(cls, matrix, equations): + """ + Returns the transformation equations obtained from rotation matrix. + + Parameters + ========== + + matrix : Matrix + Rotation matrix + + equations : tuple + Transformation equations + + """ + return tuple(matrix * Matrix(equations)) + + @property + def origin(self): + return self._origin + + def base_vectors(self): + return self._base_vectors + + def base_scalars(self): + return self._base_scalars + + def lame_coefficients(self): + return self._lame_coefficients + + def transformation_to_parent(self): + return self._transformation_lambda(*self.base_scalars()) + + def transformation_from_parent(self): + if self._parent is None: + raise ValueError("no parent coordinate system, use " + "`transformation_from_parent_function()`") + return self._transformation_from_parent_lambda( + *self._parent.base_scalars()) + + def transformation_from_parent_function(self): + return self._transformation_from_parent_lambda + + def rotation_matrix(self, other): + """ + Returns the direction cosine matrix(DCM), also known as the + 'rotation matrix' of this coordinate system with respect to + another system. + + If v_a is a vector defined in system 'A' (in matrix format) + and v_b is the same vector defined in system 'B', then + v_a = A.rotation_matrix(B) * v_b. + + A SymPy Matrix is returned. + + Parameters + ========== + + other : CoordSys3D + The system which the DCM is generated to. + + Examples + ======== + + >>> from sympy.vector import CoordSys3D + >>> from sympy import symbols + >>> q1 = symbols('q1') + >>> N = CoordSys3D('N') + >>> A = N.orient_new_axis('A', q1, N.i) + >>> N.rotation_matrix(A) + Matrix([ + [1, 0, 0], + [0, cos(q1), -sin(q1)], + [0, sin(q1), cos(q1)]]) + + """ + from sympy.vector.functions import _path + if not isinstance(other, CoordSys3D): + raise TypeError(str(other) + + " is not a CoordSys3D") + # Handle special cases + if other == self: + return eye(3) + elif other == self._parent: + return self._parent_rotation_matrix + elif other._parent == self: + return other._parent_rotation_matrix.T + # Else, use tree to calculate position + rootindex, path = _path(self, other) + result = eye(3) + for i in range(rootindex): + result *= path[i]._parent_rotation_matrix + for i in range(rootindex + 1, len(path)): + result *= path[i]._parent_rotation_matrix.T + return result + + @cacheit + def position_wrt(self, other): + """ + Returns the position vector of the origin of this coordinate + system with respect to another Point/CoordSys3D. + + Parameters + ========== + + other : Point/CoordSys3D + If other is a Point, the position of this system's origin + wrt it is returned. If its an instance of CoordSyRect, + the position wrt its origin is returned. + + Examples + ======== + + >>> from sympy.vector import CoordSys3D + >>> N = CoordSys3D('N') + >>> N1 = N.locate_new('N1', 10 * N.i) + >>> N.position_wrt(N1) + (-10)*N.i + + """ + return self.origin.position_wrt(other) + + def scalar_map(self, other): + """ + Returns a dictionary which expresses the coordinate variables + (base scalars) of this frame in terms of the variables of + otherframe. + + Parameters + ========== + + otherframe : CoordSys3D + The other system to map the variables to. + + Examples + ======== + + >>> from sympy.vector import CoordSys3D + >>> from sympy import Symbol + >>> A = CoordSys3D('A') + >>> q = Symbol('q') + >>> B = A.orient_new_axis('B', q, A.k) + >>> A.scalar_map(B) + {A.x: B.x*cos(q) - B.y*sin(q), A.y: B.x*sin(q) + B.y*cos(q), A.z: B.z} + + """ + + origin_coords = tuple(self.position_wrt(other).to_matrix(other)) + relocated_scalars = [x - origin_coords[i] + for i, x in enumerate(other.base_scalars())] + + vars_matrix = (self.rotation_matrix(other) * + Matrix(relocated_scalars)) + return {x: trigsimp(vars_matrix[i]) + for i, x in enumerate(self.base_scalars())} + + def locate_new(self, name, position, vector_names=None, + variable_names=None): + """ + Returns a CoordSys3D with its origin located at the given + position wrt this coordinate system's origin. + + Parameters + ========== + + name : str + The name of the new CoordSys3D instance. + + position : Vector + The position vector of the new system's origin wrt this + one. + + vector_names, variable_names : iterable(optional) + Iterables of 3 strings each, with custom names for base + vectors and base scalars of the new system respectively. + Used for simple str printing. + + Examples + ======== + + >>> from sympy.vector import CoordSys3D + >>> A = CoordSys3D('A') + >>> B = A.locate_new('B', 10 * A.i) + >>> B.origin.position_wrt(A.origin) + 10*A.i + + """ + if variable_names is None: + variable_names = self._variable_names + if vector_names is None: + vector_names = self._vector_names + + return CoordSys3D(name, location=position, + vector_names=vector_names, + variable_names=variable_names, + parent=self) + + def orient_new(self, name, orienters, location=None, + vector_names=None, variable_names=None): + """ + Creates a new CoordSys3D oriented in the user-specified way + with respect to this system. + + Please refer to the documentation of the orienter classes + for more information about the orientation procedure. + + Parameters + ========== + + name : str + The name of the new CoordSys3D instance. + + orienters : iterable/Orienter + An Orienter or an iterable of Orienters for orienting the + new coordinate system. + If an Orienter is provided, it is applied to get the new + system. + If an iterable is provided, the orienters will be applied + in the order in which they appear in the iterable. + + location : Vector(optional) + The location of the new coordinate system's origin wrt this + system's origin. If not specified, the origins are taken to + be coincident. + + vector_names, variable_names : iterable(optional) + Iterables of 3 strings each, with custom names for base + vectors and base scalars of the new system respectively. + Used for simple str printing. + + Examples + ======== + + >>> from sympy.vector import CoordSys3D + >>> from sympy import symbols + >>> q0, q1, q2, q3 = symbols('q0 q1 q2 q3') + >>> N = CoordSys3D('N') + + Using an AxisOrienter + + >>> from sympy.vector import AxisOrienter + >>> axis_orienter = AxisOrienter(q1, N.i + 2 * N.j) + >>> A = N.orient_new('A', (axis_orienter, )) + + Using a BodyOrienter + + >>> from sympy.vector import BodyOrienter + >>> body_orienter = BodyOrienter(q1, q2, q3, '123') + >>> B = N.orient_new('B', (body_orienter, )) + + Using a SpaceOrienter + + >>> from sympy.vector import SpaceOrienter + >>> space_orienter = SpaceOrienter(q1, q2, q3, '312') + >>> C = N.orient_new('C', (space_orienter, )) + + Using a QuaternionOrienter + + >>> from sympy.vector import QuaternionOrienter + >>> q_orienter = QuaternionOrienter(q0, q1, q2, q3) + >>> D = N.orient_new('D', (q_orienter, )) + """ + if variable_names is None: + variable_names = self._variable_names + if vector_names is None: + vector_names = self._vector_names + + if isinstance(orienters, Orienter): + if isinstance(orienters, AxisOrienter): + final_matrix = orienters.rotation_matrix(self) + else: + final_matrix = orienters.rotation_matrix() + # TODO: trigsimp is needed here so that the matrix becomes + # canonical (scalar_map also calls trigsimp; without this, you can + # end up with the same CoordinateSystem that compares differently + # due to a differently formatted matrix). However, this is + # probably not so good for performance. + final_matrix = trigsimp(final_matrix) + else: + final_matrix = Matrix(eye(3)) + for orienter in orienters: + if isinstance(orienter, AxisOrienter): + final_matrix *= orienter.rotation_matrix(self) + else: + final_matrix *= orienter.rotation_matrix() + + return CoordSys3D(name, rotation_matrix=final_matrix, + vector_names=vector_names, + variable_names=variable_names, + location=location, + parent=self) + + def orient_new_axis(self, name, angle, axis, location=None, + vector_names=None, variable_names=None): + """ + Axis rotation is a rotation about an arbitrary axis by + some angle. The angle is supplied as a SymPy expr scalar, and + the axis is supplied as a Vector. + + Parameters + ========== + + name : string + The name of the new coordinate system + + angle : Expr + The angle by which the new system is to be rotated + + axis : Vector + The axis around which the rotation has to be performed + + location : Vector(optional) + The location of the new coordinate system's origin wrt this + system's origin. If not specified, the origins are taken to + be coincident. + + vector_names, variable_names : iterable(optional) + Iterables of 3 strings each, with custom names for base + vectors and base scalars of the new system respectively. + Used for simple str printing. + + Examples + ======== + + >>> from sympy.vector import CoordSys3D + >>> from sympy import symbols + >>> q1 = symbols('q1') + >>> N = CoordSys3D('N') + >>> B = N.orient_new_axis('B', q1, N.i + 2 * N.j) + + """ + if variable_names is None: + variable_names = self._variable_names + if vector_names is None: + vector_names = self._vector_names + + orienter = AxisOrienter(angle, axis) + return self.orient_new(name, orienter, + location=location, + vector_names=vector_names, + variable_names=variable_names) + + def orient_new_body(self, name, angle1, angle2, angle3, + rotation_order, location=None, + vector_names=None, variable_names=None): + """ + Body orientation takes this coordinate system through three + successive simple rotations. + + Body fixed rotations include both Euler Angles and + Tait-Bryan Angles, see https://en.wikipedia.org/wiki/Euler_angles. + + Parameters + ========== + + name : string + The name of the new coordinate system + + angle1, angle2, angle3 : Expr + Three successive angles to rotate the coordinate system by + + rotation_order : string + String defining the order of axes for rotation + + location : Vector(optional) + The location of the new coordinate system's origin wrt this + system's origin. If not specified, the origins are taken to + be coincident. + + vector_names, variable_names : iterable(optional) + Iterables of 3 strings each, with custom names for base + vectors and base scalars of the new system respectively. + Used for simple str printing. + + Examples + ======== + + >>> from sympy.vector import CoordSys3D + >>> from sympy import symbols + >>> q1, q2, q3 = symbols('q1 q2 q3') + >>> N = CoordSys3D('N') + + A 'Body' fixed rotation is described by three angles and + three body-fixed rotation axes. To orient a coordinate system D + with respect to N, each sequential rotation is always about + the orthogonal unit vectors fixed to D. For example, a '123' + rotation will specify rotations about N.i, then D.j, then + D.k. (Initially, D.i is same as N.i) + Therefore, + + >>> D = N.orient_new_body('D', q1, q2, q3, '123') + + is same as + + >>> D = N.orient_new_axis('D', q1, N.i) + >>> D = D.orient_new_axis('D', q2, D.j) + >>> D = D.orient_new_axis('D', q3, D.k) + + Acceptable rotation orders are of length 3, expressed in XYZ or + 123, and cannot have a rotation about about an axis twice in a row. + + >>> B = N.orient_new_body('B', q1, q2, q3, '123') + >>> B = N.orient_new_body('B', q1, q2, 0, 'ZXZ') + >>> B = N.orient_new_body('B', 0, 0, 0, 'XYX') + + """ + + orienter = BodyOrienter(angle1, angle2, angle3, rotation_order) + return self.orient_new(name, orienter, + location=location, + vector_names=vector_names, + variable_names=variable_names) + + def orient_new_space(self, name, angle1, angle2, angle3, + rotation_order, location=None, + vector_names=None, variable_names=None): + """ + Space rotation is similar to Body rotation, but the rotations + are applied in the opposite order. + + Parameters + ========== + + name : string + The name of the new coordinate system + + angle1, angle2, angle3 : Expr + Three successive angles to rotate the coordinate system by + + rotation_order : string + String defining the order of axes for rotation + + location : Vector(optional) + The location of the new coordinate system's origin wrt this + system's origin. If not specified, the origins are taken to + be coincident. + + vector_names, variable_names : iterable(optional) + Iterables of 3 strings each, with custom names for base + vectors and base scalars of the new system respectively. + Used for simple str printing. + + See Also + ======== + + CoordSys3D.orient_new_body : method to orient via Euler + angles + + Examples + ======== + + >>> from sympy.vector import CoordSys3D + >>> from sympy import symbols + >>> q1, q2, q3 = symbols('q1 q2 q3') + >>> N = CoordSys3D('N') + + To orient a coordinate system D with respect to N, each + sequential rotation is always about N's orthogonal unit vectors. + For example, a '123' rotation will specify rotations about + N.i, then N.j, then N.k. + Therefore, + + >>> D = N.orient_new_space('D', q1, q2, q3, '312') + + is same as + + >>> B = N.orient_new_axis('B', q1, N.i) + >>> C = B.orient_new_axis('C', q2, N.j) + >>> D = C.orient_new_axis('D', q3, N.k) + + """ + + orienter = SpaceOrienter(angle1, angle2, angle3, rotation_order) + return self.orient_new(name, orienter, + location=location, + vector_names=vector_names, + variable_names=variable_names) + + def orient_new_quaternion(self, name, q0, q1, q2, q3, location=None, + vector_names=None, variable_names=None): + """ + Quaternion orientation orients the new CoordSys3D with + Quaternions, defined as a finite rotation about lambda, a unit + vector, by some amount theta. + + This orientation is described by four parameters: + + q0 = cos(theta/2) + + q1 = lambda_x sin(theta/2) + + q2 = lambda_y sin(theta/2) + + q3 = lambda_z sin(theta/2) + + Quaternion does not take in a rotation order. + + Parameters + ========== + + name : string + The name of the new coordinate system + + q0, q1, q2, q3 : Expr + The quaternions to rotate the coordinate system by + + location : Vector(optional) + The location of the new coordinate system's origin wrt this + system's origin. If not specified, the origins are taken to + be coincident. + + vector_names, variable_names : iterable(optional) + Iterables of 3 strings each, with custom names for base + vectors and base scalars of the new system respectively. + Used for simple str printing. + + Examples + ======== + + >>> from sympy.vector import CoordSys3D + >>> from sympy import symbols + >>> q0, q1, q2, q3 = symbols('q0 q1 q2 q3') + >>> N = CoordSys3D('N') + >>> B = N.orient_new_quaternion('B', q0, q1, q2, q3) + + """ + + orienter = QuaternionOrienter(q0, q1, q2, q3) + return self.orient_new(name, orienter, + location=location, + vector_names=vector_names, + variable_names=variable_names) + + def create_new(self, name, transformation, variable_names=None, vector_names=None): + """ + Returns a CoordSys3D which is connected to self by transformation. + + Parameters + ========== + + name : str + The name of the new CoordSys3D instance. + + transformation : Lambda, Tuple, str + Transformation defined by transformation equations or chosen + from predefined ones. + + vector_names, variable_names : iterable(optional) + Iterables of 3 strings each, with custom names for base + vectors and base scalars of the new system respectively. + Used for simple str printing. + + Examples + ======== + + >>> from sympy.vector import CoordSys3D + >>> a = CoordSys3D('a') + >>> b = a.create_new('b', transformation='spherical') + >>> b.transformation_to_parent() + (b.r*sin(b.theta)*cos(b.phi), b.r*sin(b.phi)*sin(b.theta), b.r*cos(b.theta)) + >>> b.transformation_from_parent() + (sqrt(a.x**2 + a.y**2 + a.z**2), acos(a.z/sqrt(a.x**2 + a.y**2 + a.z**2)), atan2(a.y, a.x)) + + """ + return CoordSys3D(name, parent=self, transformation=transformation, + variable_names=variable_names, vector_names=vector_names) + + def __init__(self, name, location=None, rotation_matrix=None, + parent=None, vector_names=None, variable_names=None, + latex_vects=None, pretty_vects=None, latex_scalars=None, + pretty_scalars=None, transformation=None): + # Dummy initializer for setting docstring + pass + + __init__.__doc__ = __new__.__doc__ + + @staticmethod + def _compose_rotation_and_translation(rot, translation, parent): + r = lambda x, y, z: CoordSys3D._rotation_trans_equations(rot, (x, y, z)) + if parent is None: + return r + + dx, dy, dz = [translation.dot(i) for i in parent.base_vectors()] + t = lambda x, y, z: ( + x + dx, + y + dy, + z + dz, + ) + return lambda x, y, z: t(*r(x, y, z)) + + +def _check_strings(arg_name, arg): + errorstr = arg_name + " must be an iterable of 3 string-types" + if len(arg) != 3: + raise ValueError(errorstr) + for s in arg: + if not isinstance(s, str): + raise TypeError(errorstr) + + +# Delayed import to avoid cyclic import problems: +from sympy.vector.vector import BaseVector diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/vector/deloperator.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/vector/deloperator.py new file mode 100644 index 0000000000000000000000000000000000000000..51c3c0caf42b5e5d372bd65907d8bae2bd563562 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/vector/deloperator.py @@ -0,0 +1,121 @@ +from sympy.core import Basic +from sympy.vector.operators import gradient, divergence, curl + + +class Del(Basic): + """ + Represents the vector differential operator, usually represented in + mathematical expressions as the 'nabla' symbol. + """ + + def __new__(cls): + obj = super().__new__(cls) + obj._name = "delop" + return obj + + def gradient(self, scalar_field, doit=False): + """ + Returns the gradient of the given scalar field, as a + Vector instance. + + Parameters + ========== + + scalar_field : SymPy expression + The scalar field to calculate the gradient of. + + doit : bool + If True, the result is returned after calling .doit() on + each component. Else, the returned expression contains + Derivative instances + + Examples + ======== + + >>> from sympy.vector import CoordSys3D, Del + >>> C = CoordSys3D('C') + >>> delop = Del() + >>> delop.gradient(9) + 0 + >>> delop(C.x*C.y*C.z).doit() + C.y*C.z*C.i + C.x*C.z*C.j + C.x*C.y*C.k + + """ + + return gradient(scalar_field, doit=doit) + + __call__ = gradient + __call__.__doc__ = gradient.__doc__ + + def dot(self, vect, doit=False): + """ + Represents the dot product between this operator and a given + vector - equal to the divergence of the vector field. + + Parameters + ========== + + vect : Vector + The vector whose divergence is to be calculated. + + doit : bool + If True, the result is returned after calling .doit() on + each component. Else, the returned expression contains + Derivative instances + + Examples + ======== + + >>> from sympy.vector import CoordSys3D, Del + >>> delop = Del() + >>> C = CoordSys3D('C') + >>> delop.dot(C.x*C.i) + Derivative(C.x, C.x) + >>> v = C.x*C.y*C.z * (C.i + C.j + C.k) + >>> (delop & v).doit() + C.x*C.y + C.x*C.z + C.y*C.z + + """ + return divergence(vect, doit=doit) + + __and__ = dot + __and__.__doc__ = dot.__doc__ + + def cross(self, vect, doit=False): + """ + Represents the cross product between this operator and a given + vector - equal to the curl of the vector field. + + Parameters + ========== + + vect : Vector + The vector whose curl is to be calculated. + + doit : bool + If True, the result is returned after calling .doit() on + each component. Else, the returned expression contains + Derivative instances + + Examples + ======== + + >>> from sympy.vector import CoordSys3D, Del + >>> C = CoordSys3D('C') + >>> delop = Del() + >>> v = C.x*C.y*C.z * (C.i + C.j + C.k) + >>> delop.cross(v, doit = True) + (-C.x*C.y + C.x*C.z)*C.i + (C.x*C.y - C.y*C.z)*C.j + + (-C.x*C.z + C.y*C.z)*C.k + >>> (delop ^ C.i).doit() + 0 + + """ + + return curl(vect, doit=doit) + + __xor__ = cross + __xor__.__doc__ = cross.__doc__ + + def _sympystr(self, printer): + return self._name diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/vector/dyadic.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/vector/dyadic.py new file mode 100644 index 0000000000000000000000000000000000000000..980c6e6dad90ac095b7bd6d4228f507a7831b39f --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/vector/dyadic.py @@ -0,0 +1,285 @@ +from __future__ import annotations + +from sympy.vector.basisdependent import (BasisDependent, BasisDependentAdd, + BasisDependentMul, BasisDependentZero) +from sympy.core import S, Pow +from sympy.core.expr import AtomicExpr +from sympy.matrices.immutable import ImmutableDenseMatrix as Matrix +import sympy.vector + + +class Dyadic(BasisDependent): + """ + Super class for all Dyadic-classes. + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Dyadic_tensor + .. [2] Kane, T., Levinson, D. Dynamics Theory and Applications. 1985 + McGraw-Hill + + """ + + _op_priority = 13.0 + + _expr_type: type[Dyadic] + _mul_func: type[Dyadic] + _add_func: type[Dyadic] + _zero_func: type[Dyadic] + _base_func: type[Dyadic] + zero: DyadicZero + + @property + def components(self): + """ + Returns the components of this dyadic in the form of a + Python dictionary mapping BaseDyadic instances to the + corresponding measure numbers. + + """ + # The '_components' attribute is defined according to the + # subclass of Dyadic the instance belongs to. + return self._components + + def dot(self, other): + """ + Returns the dot product(also called inner product) of this + Dyadic, with another Dyadic or Vector. + If 'other' is a Dyadic, this returns a Dyadic. Else, it returns + a Vector (unless an error is encountered). + + Parameters + ========== + + other : Dyadic/Vector + The other Dyadic or Vector to take the inner product with + + Examples + ======== + + >>> from sympy.vector import CoordSys3D + >>> N = CoordSys3D('N') + >>> D1 = N.i.outer(N.j) + >>> D2 = N.j.outer(N.j) + >>> D1.dot(D2) + (N.i|N.j) + >>> D1.dot(N.j) + N.i + + """ + + Vector = sympy.vector.Vector + if isinstance(other, BasisDependentZero): + return Vector.zero + elif isinstance(other, Vector): + outvec = Vector.zero + for k, v in self.components.items(): + vect_dot = k.args[1].dot(other) + outvec += vect_dot * v * k.args[0] + return outvec + elif isinstance(other, Dyadic): + outdyad = Dyadic.zero + for k1, v1 in self.components.items(): + for k2, v2 in other.components.items(): + vect_dot = k1.args[1].dot(k2.args[0]) + outer_product = k1.args[0].outer(k2.args[1]) + outdyad += vect_dot * v1 * v2 * outer_product + return outdyad + else: + raise TypeError("Inner product is not defined for " + + str(type(other)) + " and Dyadics.") + + def __and__(self, other): + return self.dot(other) + + __and__.__doc__ = dot.__doc__ + + def cross(self, other): + """ + Returns the cross product between this Dyadic, and a Vector, as a + Vector instance. + + Parameters + ========== + + other : Vector + The Vector that we are crossing this Dyadic with + + Examples + ======== + + >>> from sympy.vector import CoordSys3D + >>> N = CoordSys3D('N') + >>> d = N.i.outer(N.i) + >>> d.cross(N.j) + (N.i|N.k) + + """ + + Vector = sympy.vector.Vector + if other == Vector.zero: + return Dyadic.zero + elif isinstance(other, Vector): + outdyad = Dyadic.zero + for k, v in self.components.items(): + cross_product = k.args[1].cross(other) + outer = k.args[0].outer(cross_product) + outdyad += v * outer + return outdyad + else: + raise TypeError(str(type(other)) + " not supported for " + + "cross with dyadics") + + def __xor__(self, other): + return self.cross(other) + + __xor__.__doc__ = cross.__doc__ + + def to_matrix(self, system, second_system=None): + """ + Returns the matrix form of the dyadic with respect to one or two + coordinate systems. + + Parameters + ========== + + system : CoordSys3D + The coordinate system that the rows and columns of the matrix + correspond to. If a second system is provided, this + only corresponds to the rows of the matrix. + second_system : CoordSys3D, optional, default=None + The coordinate system that the columns of the matrix correspond + to. + + Examples + ======== + + >>> from sympy.vector import CoordSys3D + >>> N = CoordSys3D('N') + >>> v = N.i + 2*N.j + >>> d = v.outer(N.i) + >>> d.to_matrix(N) + Matrix([ + [1, 0, 0], + [2, 0, 0], + [0, 0, 0]]) + >>> from sympy import Symbol + >>> q = Symbol('q') + >>> P = N.orient_new_axis('P', q, N.k) + >>> d.to_matrix(N, P) + Matrix([ + [ cos(q), -sin(q), 0], + [2*cos(q), -2*sin(q), 0], + [ 0, 0, 0]]) + + """ + + if second_system is None: + second_system = system + + return Matrix([i.dot(self).dot(j) for i in system for j in + second_system]).reshape(3, 3) + + def _div_helper(one, other): + """ Helper for division involving dyadics """ + if isinstance(one, Dyadic) and isinstance(other, Dyadic): + raise TypeError("Cannot divide two dyadics") + elif isinstance(one, Dyadic): + return DyadicMul(one, Pow(other, S.NegativeOne)) + else: + raise TypeError("Cannot divide by a dyadic") + + +class BaseDyadic(Dyadic, AtomicExpr): + """ + Class to denote a base dyadic tensor component. + """ + + def __new__(cls, vector1, vector2): + Vector = sympy.vector.Vector + BaseVector = sympy.vector.BaseVector + VectorZero = sympy.vector.VectorZero + # Verify arguments + if not isinstance(vector1, (BaseVector, VectorZero)) or \ + not isinstance(vector2, (BaseVector, VectorZero)): + raise TypeError("BaseDyadic cannot be composed of non-base " + + "vectors") + # Handle special case of zero vector + elif vector1 == Vector.zero or vector2 == Vector.zero: + return Dyadic.zero + # Initialize instance + obj = super().__new__(cls, vector1, vector2) + obj._base_instance = obj + obj._measure_number = 1 + obj._components = {obj: S.One} + obj._sys = vector1._sys + obj._pretty_form = ('(' + vector1._pretty_form + '|' + + vector2._pretty_form + ')') + obj._latex_form = (r'\left(' + vector1._latex_form + r"{\middle|}" + + vector2._latex_form + r'\right)') + + return obj + + def _sympystr(self, printer): + return "({}|{})".format( + printer._print(self.args[0]), printer._print(self.args[1])) + + def _sympyrepr(self, printer): + return "BaseDyadic({}, {})".format( + printer._print(self.args[0]), printer._print(self.args[1])) + + +class DyadicMul(BasisDependentMul, Dyadic): + """ Products of scalars and BaseDyadics """ + + def __new__(cls, *args, **options): + obj = BasisDependentMul.__new__(cls, *args, **options) + return obj + + @property + def base_dyadic(self): + """ The BaseDyadic involved in the product. """ + return self._base_instance + + @property + def measure_number(self): + """ The scalar expression involved in the definition of + this DyadicMul. + """ + return self._measure_number + + +class DyadicAdd(BasisDependentAdd, Dyadic): + """ Class to hold dyadic sums """ + + def __new__(cls, *args, **options): + obj = BasisDependentAdd.__new__(cls, *args, **options) + return obj + + def _sympystr(self, printer): + items = list(self.components.items()) + items.sort(key=lambda x: x[0].__str__()) + return " + ".join(printer._print(k * v) for k, v in items) + + +class DyadicZero(BasisDependentZero, Dyadic): + """ + Class to denote a zero dyadic + """ + + _op_priority = 13.1 + _pretty_form = '(0|0)' + _latex_form = r'(\mathbf{\hat{0}}|\mathbf{\hat{0}})' + + def __new__(cls): + obj = BasisDependentZero.__new__(cls) + return obj + + +Dyadic._expr_type = Dyadic +Dyadic._mul_func = DyadicMul +Dyadic._add_func = DyadicAdd +Dyadic._zero_func = DyadicZero +Dyadic._base_func = BaseDyadic +Dyadic.zero = DyadicZero() diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/vector/functions.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/vector/functions.py new file mode 100644 index 0000000000000000000000000000000000000000..b78df8ae2e182f3e571ca7fa8bfabd39bf99d26e --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/vector/functions.py @@ -0,0 +1,513 @@ +from sympy.vector.coordsysrect import CoordSys3D +from sympy.vector.deloperator import Del +from sympy.vector.scalar import BaseScalar +from sympy.vector.vector import Vector, BaseVector +from sympy.vector.operators import gradient, curl, divergence +from sympy.core.function import diff +from sympy.core.singleton import S +from sympy.integrals.integrals import integrate +from sympy.core import sympify +from sympy.vector.dyadic import Dyadic + + +def express(expr, system, system2=None, variables=False): + """ + Global function for 'express' functionality. + + Re-expresses a Vector, Dyadic or scalar(sympyfiable) in the given + coordinate system. + + If 'variables' is True, then the coordinate variables (base scalars) + of other coordinate systems present in the vector/scalar field or + dyadic are also substituted in terms of the base scalars of the + given system. + + Parameters + ========== + + expr : Vector/Dyadic/scalar(sympyfiable) + The expression to re-express in CoordSys3D 'system' + + system: CoordSys3D + The coordinate system the expr is to be expressed in + + system2: CoordSys3D + The other coordinate system required for re-expression + (only for a Dyadic Expr) + + variables : boolean + Specifies whether to substitute the coordinate variables present + in expr, in terms of those of parameter system + + Examples + ======== + + >>> from sympy.vector import CoordSys3D + >>> from sympy import Symbol, cos, sin + >>> N = CoordSys3D('N') + >>> q = Symbol('q') + >>> B = N.orient_new_axis('B', q, N.k) + >>> from sympy.vector import express + >>> express(B.i, N) + (cos(q))*N.i + (sin(q))*N.j + >>> express(N.x, B, variables=True) + B.x*cos(q) - B.y*sin(q) + >>> d = N.i.outer(N.i) + >>> express(d, B, N) == (cos(q))*(B.i|N.i) + (-sin(q))*(B.j|N.i) + True + + """ + + if expr in (0, Vector.zero): + return expr + + if not isinstance(system, CoordSys3D): + raise TypeError("system should be a CoordSys3D \ + instance") + + if isinstance(expr, Vector): + if system2 is not None: + raise ValueError("system2 should not be provided for \ + Vectors") + # Given expr is a Vector + if variables: + # If variables attribute is True, substitute + # the coordinate variables in the Vector + system_list = {x.system for x in expr.atoms(BaseScalar, BaseVector)} - {system} + subs_dict = {} + for f in system_list: + subs_dict.update(f.scalar_map(system)) + expr = expr.subs(subs_dict) + # Re-express in this coordinate system + outvec = Vector.zero + parts = expr.separate() + for x in parts: + if x != system: + temp = system.rotation_matrix(x) * parts[x].to_matrix(x) + outvec += matrix_to_vector(temp, system) + else: + outvec += parts[x] + return outvec + + elif isinstance(expr, Dyadic): + if system2 is None: + system2 = system + if not isinstance(system2, CoordSys3D): + raise TypeError("system2 should be a CoordSys3D \ + instance") + outdyad = Dyadic.zero + var = variables + for k, v in expr.components.items(): + outdyad += (express(v, system, variables=var) * + (express(k.args[0], system, variables=var) | + express(k.args[1], system2, variables=var))) + + return outdyad + + else: + if system2 is not None: + raise ValueError("system2 should not be provided for \ + Vectors") + if variables: + # Given expr is a scalar field + system_set = set() + expr = sympify(expr) + # Substitute all the coordinate variables + for x in expr.atoms(BaseScalar): + if x.system != system: + system_set.add(x.system) + subs_dict = {} + for f in system_set: + subs_dict.update(f.scalar_map(system)) + return expr.subs(subs_dict) + return expr + + +def directional_derivative(field, direction_vector): + """ + Returns the directional derivative of a scalar or vector field computed + along a given vector in coordinate system which parameters are expressed. + + Parameters + ========== + + field : Vector or Scalar + The scalar or vector field to compute the directional derivative of + + direction_vector : Vector + The vector to calculated directional derivative along them. + + + Examples + ======== + + >>> from sympy.vector import CoordSys3D, directional_derivative + >>> R = CoordSys3D('R') + >>> f1 = R.x*R.y*R.z + >>> v1 = 3*R.i + 4*R.j + R.k + >>> directional_derivative(f1, v1) + R.x*R.y + 4*R.x*R.z + 3*R.y*R.z + >>> f2 = 5*R.x**2*R.z + >>> directional_derivative(f2, v1) + 5*R.x**2 + 30*R.x*R.z + + """ + from sympy.vector.operators import _get_coord_systems + coord_sys = _get_coord_systems(field) + if len(coord_sys) > 0: + # TODO: This gets a random coordinate system in case of multiple ones: + coord_sys = next(iter(coord_sys)) + field = express(field, coord_sys, variables=True) + i, j, k = coord_sys.base_vectors() + x, y, z = coord_sys.base_scalars() + out = Vector.dot(direction_vector, i) * diff(field, x) + out += Vector.dot(direction_vector, j) * diff(field, y) + out += Vector.dot(direction_vector, k) * diff(field, z) + if out == 0 and isinstance(field, Vector): + out = Vector.zero + return out + elif isinstance(field, Vector): + return Vector.zero + else: + return S.Zero + + +def laplacian(expr): + """ + Return the laplacian of the given field computed in terms of + the base scalars of the given coordinate system. + + Parameters + ========== + + expr : SymPy Expr or Vector + expr denotes a scalar or vector field. + + Examples + ======== + + >>> from sympy.vector import CoordSys3D, laplacian + >>> R = CoordSys3D('R') + >>> f = R.x**2*R.y**5*R.z + >>> laplacian(f) + 20*R.x**2*R.y**3*R.z + 2*R.y**5*R.z + >>> f = R.x**2*R.i + R.y**3*R.j + R.z**4*R.k + >>> laplacian(f) + 2*R.i + 6*R.y*R.j + 12*R.z**2*R.k + + """ + + delop = Del() + if expr.is_Vector: + return (gradient(divergence(expr)) - curl(curl(expr))).doit() + return delop.dot(delop(expr)).doit() + + +def is_conservative(field): + """ + Checks if a field is conservative. + + Parameters + ========== + + field : Vector + The field to check for conservative property + + Examples + ======== + + >>> from sympy.vector import CoordSys3D + >>> from sympy.vector import is_conservative + >>> R = CoordSys3D('R') + >>> is_conservative(R.y*R.z*R.i + R.x*R.z*R.j + R.x*R.y*R.k) + True + >>> is_conservative(R.z*R.j) + False + + """ + + # Field is conservative irrespective of system + # Take the first coordinate system in the result of the + # separate method of Vector + if not isinstance(field, Vector): + raise TypeError("field should be a Vector") + if field == Vector.zero: + return True + return curl(field).simplify() == Vector.zero + + +def is_solenoidal(field): + """ + Checks if a field is solenoidal. + + Parameters + ========== + + field : Vector + The field to check for solenoidal property + + Examples + ======== + + >>> from sympy.vector import CoordSys3D + >>> from sympy.vector import is_solenoidal + >>> R = CoordSys3D('R') + >>> is_solenoidal(R.y*R.z*R.i + R.x*R.z*R.j + R.x*R.y*R.k) + True + >>> is_solenoidal(R.y * R.j) + False + + """ + + # Field is solenoidal irrespective of system + # Take the first coordinate system in the result of the + # separate method in Vector + if not isinstance(field, Vector): + raise TypeError("field should be a Vector") + if field == Vector.zero: + return True + return divergence(field).simplify() is S.Zero + + +def scalar_potential(field, coord_sys): + """ + Returns the scalar potential function of a field in a given + coordinate system (without the added integration constant). + + Parameters + ========== + + field : Vector + The vector field whose scalar potential function is to be + calculated + + coord_sys : CoordSys3D + The coordinate system to do the calculation in + + Examples + ======== + + >>> from sympy.vector import CoordSys3D + >>> from sympy.vector import scalar_potential, gradient + >>> R = CoordSys3D('R') + >>> scalar_potential(R.k, R) == R.z + True + >>> scalar_field = 2*R.x**2*R.y*R.z + >>> grad_field = gradient(scalar_field) + >>> scalar_potential(grad_field, R) + 2*R.x**2*R.y*R.z + + """ + + # Check whether field is conservative + if not is_conservative(field): + raise ValueError("Field is not conservative") + if field == Vector.zero: + return S.Zero + # Express the field exntirely in coord_sys + # Substitute coordinate variables also + if not isinstance(coord_sys, CoordSys3D): + raise TypeError("coord_sys must be a CoordSys3D") + field = express(field, coord_sys, variables=True) + dimensions = coord_sys.base_vectors() + scalars = coord_sys.base_scalars() + # Calculate scalar potential function + temp_function = integrate(field.dot(dimensions[0]), scalars[0]) + for i, dim in enumerate(dimensions[1:]): + partial_diff = diff(temp_function, scalars[i + 1]) + partial_diff = field.dot(dim) - partial_diff + temp_function += integrate(partial_diff, scalars[i + 1]) + return temp_function + + +def scalar_potential_difference(field, coord_sys, point1, point2): + """ + Returns the scalar potential difference between two points in a + certain coordinate system, wrt a given field. + + If a scalar field is provided, its values at the two points are + considered. If a conservative vector field is provided, the values + of its scalar potential function at the two points are used. + + Returns (potential at point2) - (potential at point1) + + The position vectors of the two Points are calculated wrt the + origin of the coordinate system provided. + + Parameters + ========== + + field : Vector/Expr + The field to calculate wrt + + coord_sys : CoordSys3D + The coordinate system to do the calculations in + + point1 : Point + The initial Point in given coordinate system + + position2 : Point + The second Point in the given coordinate system + + Examples + ======== + + >>> from sympy.vector import CoordSys3D + >>> from sympy.vector import scalar_potential_difference + >>> R = CoordSys3D('R') + >>> P = R.origin.locate_new('P', R.x*R.i + R.y*R.j + R.z*R.k) + >>> vectfield = 4*R.x*R.y*R.i + 2*R.x**2*R.j + >>> scalar_potential_difference(vectfield, R, R.origin, P) + 2*R.x**2*R.y + >>> Q = R.origin.locate_new('O', 3*R.i + R.j + 2*R.k) + >>> scalar_potential_difference(vectfield, R, P, Q) + -2*R.x**2*R.y + 18 + + """ + + if not isinstance(coord_sys, CoordSys3D): + raise TypeError("coord_sys must be a CoordSys3D") + if isinstance(field, Vector): + # Get the scalar potential function + scalar_fn = scalar_potential(field, coord_sys) + else: + # Field is a scalar + scalar_fn = field + # Express positions in required coordinate system + origin = coord_sys.origin + position1 = express(point1.position_wrt(origin), coord_sys, + variables=True) + position2 = express(point2.position_wrt(origin), coord_sys, + variables=True) + # Get the two positions as substitution dicts for coordinate variables + subs_dict1 = {} + subs_dict2 = {} + scalars = coord_sys.base_scalars() + for i, x in enumerate(coord_sys.base_vectors()): + subs_dict1[scalars[i]] = x.dot(position1) + subs_dict2[scalars[i]] = x.dot(position2) + return scalar_fn.subs(subs_dict2) - scalar_fn.subs(subs_dict1) + + +def matrix_to_vector(matrix, system): + """ + Converts a vector in matrix form to a Vector instance. + + It is assumed that the elements of the Matrix represent the + measure numbers of the components of the vector along basis + vectors of 'system'. + + Parameters + ========== + + matrix : SymPy Matrix, Dimensions: (3, 1) + The matrix to be converted to a vector + + system : CoordSys3D + The coordinate system the vector is to be defined in + + Examples + ======== + + >>> from sympy import ImmutableMatrix as Matrix + >>> m = Matrix([1, 2, 3]) + >>> from sympy.vector import CoordSys3D, matrix_to_vector + >>> C = CoordSys3D('C') + >>> v = matrix_to_vector(m, C) + >>> v + C.i + 2*C.j + 3*C.k + >>> v.to_matrix(C) == m + True + + """ + + outvec = Vector.zero + vects = system.base_vectors() + for i, x in enumerate(matrix): + outvec += x * vects[i] + return outvec + + +def _path(from_object, to_object): + """ + Calculates the 'path' of objects starting from 'from_object' + to 'to_object', along with the index of the first common + ancestor in the tree. + + Returns (index, list) tuple. + """ + + if from_object._root != to_object._root: + raise ValueError("No connecting path found between " + + str(from_object) + " and " + str(to_object)) + + other_path = [] + obj = to_object + while obj._parent is not None: + other_path.append(obj) + obj = obj._parent + other_path.append(obj) + object_set = set(other_path) + from_path = [] + obj = from_object + while obj not in object_set: + from_path.append(obj) + obj = obj._parent + index = len(from_path) + from_path.extend(other_path[other_path.index(obj)::-1]) + return index, from_path + + +def orthogonalize(*vlist, orthonormal=False): + """ + Takes a sequence of independent vectors and orthogonalizes them + using the Gram - Schmidt process. Returns a list of + orthogonal or orthonormal vectors. + + Parameters + ========== + + vlist : sequence of independent vectors to be made orthogonal. + + orthonormal : Optional parameter + Set to True if the vectors returned should be + orthonormal. + Default: False + + Examples + ======== + + >>> from sympy.vector.coordsysrect import CoordSys3D + >>> from sympy.vector.functions import orthogonalize + >>> C = CoordSys3D('C') + >>> i, j, k = C.base_vectors() + >>> v1 = i + 2*j + >>> v2 = 2*i + 3*j + >>> orthogonalize(v1, v2) + [C.i + 2*C.j, 2/5*C.i + (-1/5)*C.j] + + References + ========== + + .. [1] https://en.wikipedia.org/wiki/Gram-Schmidt_process + + """ + + if not all(isinstance(vec, Vector) for vec in vlist): + raise TypeError('Each element must be of Type Vector') + + ortho_vlist = [] + for i, term in enumerate(vlist): + for j in range(i): + term -= ortho_vlist[j].projection(vlist[i]) + # TODO : The following line introduces a performance issue + # and needs to be changed once a good solution for issue #10279 is + # found. + if term.equals(Vector.zero): + raise ValueError("Vector set not linearly independent") + ortho_vlist.append(term) + + if orthonormal: + ortho_vlist = [vec.normalize() for vec in ortho_vlist] + + return ortho_vlist diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/vector/implicitregion.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/vector/implicitregion.py new file mode 100644 index 0000000000000000000000000000000000000000..ed2d55a1be8b1eaca71d08b632a94886a2b0269c --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/vector/implicitregion.py @@ -0,0 +1,506 @@ +from sympy.core.numbers import Rational +from sympy.core.singleton import S +from sympy.core.symbol import symbols +from sympy.functions.elementary.complexes import sign +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.polys.polytools import gcd +from sympy.sets.sets import Complement +from sympy.core import Basic, Tuple, diff, expand, Eq, Integer +from sympy.core.sorting import ordered +from sympy.core.symbol import _symbol +from sympy.solvers import solveset, nonlinsolve, diophantine +from sympy.polys import total_degree +from sympy.geometry import Point +from sympy.ntheory.factor_ import core + + +class ImplicitRegion(Basic): + """ + Represents an implicit region in space. + + Examples + ======== + + >>> from sympy import Eq + >>> from sympy.abc import x, y, z, t + >>> from sympy.vector import ImplicitRegion + + >>> ImplicitRegion((x, y), x**2 + y**2 - 4) + ImplicitRegion((x, y), x**2 + y**2 - 4) + >>> ImplicitRegion((x, y), Eq(y*x, 1)) + ImplicitRegion((x, y), x*y - 1) + + >>> parabola = ImplicitRegion((x, y), y**2 - 4*x) + >>> parabola.degree + 2 + >>> parabola.equation + -4*x + y**2 + >>> parabola.rational_parametrization(t) + (4/t**2, 4/t) + + >>> r = ImplicitRegion((x, y, z), Eq(z, x**2 + y**2)) + >>> r.variables + (x, y, z) + >>> r.singular_points() + EmptySet + >>> r.regular_point() + (-10, -10, 200) + + Parameters + ========== + + variables : tuple to map variables in implicit equation to base scalars. + + equation : An expression or Eq denoting the implicit equation of the region. + + """ + def __new__(cls, variables, equation): + if not isinstance(variables, Tuple): + variables = Tuple(*variables) + + if isinstance(equation, Eq): + equation = equation.lhs - equation.rhs + + return super().__new__(cls, variables, equation) + + @property + def variables(self): + return self.args[0] + + @property + def equation(self): + return self.args[1] + + @property + def degree(self): + return total_degree(self.equation) + + def regular_point(self): + """ + Returns a point on the implicit region. + + Examples + ======== + + >>> from sympy.abc import x, y, z + >>> from sympy.vector import ImplicitRegion + >>> circle = ImplicitRegion((x, y), (x + 2)**2 + (y - 3)**2 - 16) + >>> circle.regular_point() + (-2, -1) + >>> parabola = ImplicitRegion((x, y), x**2 - 4*y) + >>> parabola.regular_point() + (0, 0) + >>> r = ImplicitRegion((x, y, z), (x + y + z)**4) + >>> r.regular_point() + (-10, -10, 20) + + References + ========== + + - Erik Hillgarter, "Rational Points on Conics", Diploma Thesis, RISC-Linz, + J. Kepler Universitat Linz, 1996. Available: + https://www3.risc.jku.at/publications/download/risc_1355/Rational%20Points%20on%20Conics.pdf + + """ + equation = self.equation + + if len(self.variables) == 1: + return (list(solveset(equation, self.variables[0], domain=S.Reals))[0],) + elif len(self.variables) == 2: + + if self.degree == 2: + coeffs = a, b, c, d, e, f = conic_coeff(self.variables, equation) + + if b**2 == 4*a*c: + x_reg, y_reg = self._regular_point_parabola(*coeffs) + else: + x_reg, y_reg = self._regular_point_ellipse(*coeffs) + return x_reg, y_reg + + if len(self.variables) == 3: + x, y, z = self.variables + + for x_reg in range(-10, 10): + for y_reg in range(-10, 10): + if not solveset(equation.subs({x: x_reg, y: y_reg}), self.variables[2], domain=S.Reals).is_empty: + return (x_reg, y_reg, list(solveset(equation.subs({x: x_reg, y: y_reg})))[0]) + + if len(self.singular_points()) != 0: + return list[self.singular_points()][0] + + raise NotImplementedError() + + def _regular_point_parabola(self, a, b, c, d, e, f): + ok = (a, d) != (0, 0) and (c, e) != (0, 0) and b**2 == 4*a*c and (a, c) != (0, 0) + + if not ok: + raise ValueError("Rational Point on the conic does not exist") + + if a != 0: + d_dash, f_dash = (4*a*e - 2*b*d, 4*a*f - d**2) + if d_dash != 0: + y_reg = -f_dash/d_dash + x_reg = -(d + b*y_reg)/(2*a) + else: + ok = False + elif c != 0: + d_dash, f_dash = (4*c*d - 2*b*e, 4*c*f - e**2) + if d_dash != 0: + x_reg = -f_dash/d_dash + y_reg = -(e + b*x_reg)/(2*c) + else: + ok = False + + if ok: + return x_reg, y_reg + else: + raise ValueError("Rational Point on the conic does not exist") + + def _regular_point_ellipse(self, a, b, c, d, e, f): + D = 4*a*c - b**2 + ok = D + + if not ok: + raise ValueError("Rational Point on the conic does not exist") + + if a == 0 and c == 0: + K = -1 + L = 4*(d*e - b*f) + elif c != 0: + K = D + L = 4*c**2*d**2 - 4*b*c*d*e + 4*a*c*e**2 + 4*b**2*c*f - 16*a*c**2*f + else: + K = D + L = 4*a**2*e**2 - 4*b*a*d*e + 4*b**2*a*f + + ok = L != 0 and not(K > 0 and L < 0) + if not ok: + raise ValueError("Rational Point on the conic does not exist") + + K = Rational(K).limit_denominator(10**12) + L = Rational(L).limit_denominator(10**12) + + k1, k2 = K.p, K.q + l1, l2 = L.p, L.q + g = gcd(k2, l2) + + a1 = (l2*k2)/g + b1 = (k1*l2)/g + c1 = -(l1*k2)/g + a2 = sign(a1)*core(abs(a1), 2) + r1 = sqrt(a1/a2) + b2 = sign(b1)*core(abs(b1), 2) + r2 = sqrt(b1/b2) + c2 = sign(c1)*core(abs(c1), 2) + r3 = sqrt(c1/c2) + + g = gcd(gcd(a2, b2), c2) + a2 = a2/g + b2 = b2/g + c2 = c2/g + + g1 = gcd(a2, b2) + a2 = a2/g1 + b2 = b2/g1 + c2 = c2*g1 + + g2 = gcd(a2,c2) + a2 = a2/g2 + b2 = b2*g2 + c2 = c2/g2 + + g3 = gcd(b2, c2) + a2 = a2*g3 + b2 = b2/g3 + c2 = c2/g3 + + x, y, z = symbols("x y z") + eq = a2*x**2 + b2*y**2 + c2*z**2 + + solutions = diophantine(eq) + + if len(solutions) == 0: + raise ValueError("Rational Point on the conic does not exist") + + flag = False + for sol in solutions: + syms = Tuple(*sol).free_symbols + rep = dict.fromkeys(syms, 3) + sol_z = sol[2] + + if sol_z == 0: + flag = True + continue + + if not isinstance(sol_z, (int, Integer)): + syms_z = sol_z.free_symbols + + if len(syms_z) == 1: + p = next(iter(syms_z)) + p_values = Complement(S.Integers, solveset(Eq(sol_z, 0), p, S.Integers)) + rep[p] = next(iter(p_values)) + + if len(syms_z) == 2: + p, q = list(ordered(syms_z)) + + for i in S.Integers: + subs_sol_z = sol_z.subs(p, i) + q_values = Complement(S.Integers, solveset(Eq(subs_sol_z, 0), q, S.Integers)) + + if not q_values.is_empty: + rep[p] = i + rep[q] = next(iter(q_values)) + break + + if len(syms) != 0: + x, y, z = tuple(s.subs(rep) for s in sol) + else: + x, y, z = sol + flag = False + break + + if flag: + raise ValueError("Rational Point on the conic does not exist") + + x = (x*g3)/r1 + y = (y*g2)/r2 + z = (z*g1)/r3 + x = x/z + y = y/z + + if a == 0 and c == 0: + x_reg = (x + y - 2*e)/(2*b) + y_reg = (x - y - 2*d)/(2*b) + elif c != 0: + x_reg = (x - 2*d*c + b*e)/K + y_reg = (y - b*x_reg - e)/(2*c) + else: + y_reg = (x - 2*e*a + b*d)/K + x_reg = (y - b*y_reg - d)/(2*a) + + return x_reg, y_reg + + def singular_points(self): + """ + Returns a set of singular points of the region. + + The singular points are those points on the region + where all partial derivatives vanish. + + Examples + ======== + + >>> from sympy.abc import x, y + >>> from sympy.vector import ImplicitRegion + >>> I = ImplicitRegion((x, y), (y-1)**2 -x**3 + 2*x**2 -x) + >>> I.singular_points() + {(1, 1)} + + """ + eq_list = [self.equation] + for var in self.variables: + eq_list += [diff(self.equation, var)] + + return nonlinsolve(eq_list, list(self.variables)) + + def multiplicity(self, point): + """ + Returns the multiplicity of a singular point on the region. + + A singular point (x,y) of region is said to be of multiplicity m + if all the partial derivatives off to order m - 1 vanish there. + + Examples + ======== + + >>> from sympy.abc import x, y, z + >>> from sympy.vector import ImplicitRegion + >>> I = ImplicitRegion((x, y, z), x**2 + y**3 - z**4) + >>> I.singular_points() + {(0, 0, 0)} + >>> I.multiplicity((0, 0, 0)) + 2 + + """ + if isinstance(point, Point): + point = point.args + + modified_eq = self.equation + + for i, var in enumerate(self.variables): + modified_eq = modified_eq.subs(var, var + point[i]) + modified_eq = expand(modified_eq) + + if len(modified_eq.args) != 0: + terms = modified_eq.args + m = min(total_degree(term) for term in terms) + else: + terms = modified_eq + m = total_degree(terms) + + return m + + def rational_parametrization(self, parameters=('t', 's'), reg_point=None): + """ + Returns the rational parametrization of implicit region. + + Examples + ======== + + >>> from sympy import Eq + >>> from sympy.abc import x, y, z, s, t + >>> from sympy.vector import ImplicitRegion + + >>> parabola = ImplicitRegion((x, y), y**2 - 4*x) + >>> parabola.rational_parametrization() + (4/t**2, 4/t) + + >>> circle = ImplicitRegion((x, y), Eq(x**2 + y**2, 4)) + >>> circle.rational_parametrization() + (4*t/(t**2 + 1), 4*t**2/(t**2 + 1) - 2) + + >>> I = ImplicitRegion((x, y), x**3 + x**2 - y**2) + >>> I.rational_parametrization() + (t**2 - 1, t*(t**2 - 1)) + + >>> cubic_curve = ImplicitRegion((x, y), x**3 + x**2 - y**2) + >>> cubic_curve.rational_parametrization(parameters=(t)) + (t**2 - 1, t*(t**2 - 1)) + + >>> sphere = ImplicitRegion((x, y, z), x**2 + y**2 + z**2 - 4) + >>> sphere.rational_parametrization(parameters=(t, s)) + (-2 + 4/(s**2 + t**2 + 1), 4*s/(s**2 + t**2 + 1), 4*t/(s**2 + t**2 + 1)) + + For some conics, regular_points() is unable to find a point on curve. + To calulcate the parametric representation in such cases, user need + to determine a point on the region and pass it using reg_point. + + >>> c = ImplicitRegion((x, y), (x - 1/2)**2 + (y)**2 - (1/4)**2) + >>> c.rational_parametrization(reg_point=(3/4, 0)) + (0.75 - 0.5/(t**2 + 1), -0.5*t/(t**2 + 1)) + + References + ========== + + - Christoph M. Hoffmann, "Conversion Methods between Parametric and + Implicit Curves and Surfaces", Purdue e-Pubs, 1990. Available: + https://docs.lib.purdue.edu/cgi/viewcontent.cgi?article=1827&context=cstech + + """ + equation = self.equation + degree = self.degree + + if degree == 1: + if len(self.variables) == 1: + return (equation,) + elif len(self.variables) == 2: + x, y = self.variables + y_par = list(solveset(equation, y))[0] + return x, y_par + else: + raise NotImplementedError() + + point = () + + # Finding the (n - 1) fold point of the monoid of degree + if degree == 2: + # For degree 2 curves, either a regular point or a singular point can be used. + if reg_point is not None: + # Using point provided by the user as regular point + point = reg_point + else: + if len(self.singular_points()) != 0: + point = list(self.singular_points())[0] + else: + point = self.regular_point() + + if len(self.singular_points()) != 0: + singular_points = self.singular_points() + for spoint in singular_points: + syms = Tuple(*spoint).free_symbols + rep = dict.fromkeys(syms, 2) + + if len(syms) != 0: + spoint = tuple(s.subs(rep) for s in spoint) + + if self.multiplicity(spoint) == degree - 1: + point = spoint + break + + if len(point) == 0: + # The region in not a monoid + raise NotImplementedError() + + modified_eq = equation + + # Shifting the region such that fold point moves to origin + for i, var in enumerate(self.variables): + modified_eq = modified_eq.subs(var, var + point[i]) + modified_eq = expand(modified_eq) + + hn = hn_1 = 0 + for term in modified_eq.args: + if total_degree(term) == degree: + hn += term + else: + hn_1 += term + + hn_1 = -1*hn_1 + + if not isinstance(parameters, tuple): + parameters = (parameters,) + + if len(self.variables) == 2: + + parameter1 = parameters[0] + if parameter1 == 's': + # To avoid name conflict between parameters + s = _symbol('s_', real=True) + else: + s = _symbol('s', real=True) + t = _symbol(parameter1, real=True) + + hn = hn.subs({self.variables[0]: s, self.variables[1]: t}) + hn_1 = hn_1.subs({self.variables[0]: s, self.variables[1]: t}) + + x_par = (s*(hn_1/hn)).subs(s, 1) + point[0] + y_par = (t*(hn_1/hn)).subs(s, 1) + point[1] + + return x_par, y_par + + elif len(self.variables) == 3: + + parameter1, parameter2 = parameters + if 'r' in parameters: + # To avoid name conflict between parameters + r = _symbol('r_', real=True) + else: + r = _symbol('r', real=True) + s = _symbol(parameter2, real=True) + t = _symbol(parameter1, real=True) + + hn = hn.subs({self.variables[0]: r, self.variables[1]: s, self.variables[2]: t}) + hn_1 = hn_1.subs({self.variables[0]: r, self.variables[1]: s, self.variables[2]: t}) + + x_par = (r*(hn_1/hn)).subs(r, 1) + point[0] + y_par = (s*(hn_1/hn)).subs(r, 1) + point[1] + z_par = (t*(hn_1/hn)).subs(r, 1) + point[2] + + return x_par, y_par, z_par + + raise NotImplementedError() + +def conic_coeff(variables, equation): + if total_degree(equation) != 2: + raise ValueError() + x = variables[0] + y = variables[1] + + equation = expand(equation) + a = equation.coeff(x**2) + b = equation.coeff(x*y) + c = equation.coeff(y**2) + d = equation.coeff(x, 1).coeff(y, 0) + e = equation.coeff(y, 1).coeff(x, 0) + f = equation.coeff(x, 0).coeff(y, 0) + return a, b, c, d, e, f diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/vector/integrals.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/vector/integrals.py new file mode 100644 index 0000000000000000000000000000000000000000..a6451c182f214b20b1105eb0a4dc243455c9d126 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/vector/integrals.py @@ -0,0 +1,206 @@ +from sympy.core import Basic, diff +from sympy.core.singleton import S +from sympy.core.sorting import default_sort_key +from sympy.matrices import Matrix +from sympy.integrals import Integral, integrate +from sympy.geometry.entity import GeometryEntity +from sympy.simplify.simplify import simplify +from sympy.utilities.iterables import topological_sort +from sympy.vector import (CoordSys3D, Vector, ParametricRegion, + parametric_region_list, ImplicitRegion) +from sympy.vector.operators import _get_coord_systems + + +class ParametricIntegral(Basic): + """ + Represents integral of a scalar or vector field + over a Parametric Region + + Examples + ======== + + >>> from sympy import cos, sin, pi + >>> from sympy.vector import CoordSys3D, ParametricRegion, ParametricIntegral + >>> from sympy.abc import r, t, theta, phi + + >>> C = CoordSys3D('C') + >>> curve = ParametricRegion((3*t - 2, t + 1), (t, 1, 2)) + >>> ParametricIntegral(C.x, curve) + 5*sqrt(10)/2 + >>> length = ParametricIntegral(1, curve) + >>> length + sqrt(10) + >>> semisphere = ParametricRegion((2*sin(phi)*cos(theta), 2*sin(phi)*sin(theta), 2*cos(phi)),\ + (theta, 0, 2*pi), (phi, 0, pi/2)) + >>> ParametricIntegral(C.z, semisphere) + 8*pi + + >>> ParametricIntegral(C.j + C.k, ParametricRegion((r*cos(theta), r*sin(theta)), r, theta)) + 0 + + """ + + def __new__(cls, field, parametricregion): + + coord_set = _get_coord_systems(field) + + if len(coord_set) == 0: + coord_sys = CoordSys3D('C') + elif len(coord_set) > 1: + raise ValueError + else: + coord_sys = next(iter(coord_set)) + + if parametricregion.dimensions == 0: + return S.Zero + + base_vectors = coord_sys.base_vectors() + base_scalars = coord_sys.base_scalars() + + parametricfield = field + + r = Vector.zero + for i in range(len(parametricregion.definition)): + r += base_vectors[i]*parametricregion.definition[i] + + if len(coord_set) != 0: + for i in range(len(parametricregion.definition)): + parametricfield = parametricfield.subs(base_scalars[i], parametricregion.definition[i]) + + if parametricregion.dimensions == 1: + parameter = parametricregion.parameters[0] + + r_diff = diff(r, parameter) + lower, upper = parametricregion.limits[parameter][0], parametricregion.limits[parameter][1] + + if isinstance(parametricfield, Vector): + integrand = simplify(r_diff.dot(parametricfield)) + else: + integrand = simplify(r_diff.magnitude()*parametricfield) + + result = integrate(integrand, (parameter, lower, upper)) + + elif parametricregion.dimensions == 2: + u, v = cls._bounds_case(parametricregion.parameters, parametricregion.limits) + + r_u = diff(r, u) + r_v = diff(r, v) + normal_vector = simplify(r_u.cross(r_v)) + + if isinstance(parametricfield, Vector): + integrand = parametricfield.dot(normal_vector) + else: + integrand = parametricfield*normal_vector.magnitude() + + integrand = simplify(integrand) + + lower_u, upper_u = parametricregion.limits[u][0], parametricregion.limits[u][1] + lower_v, upper_v = parametricregion.limits[v][0], parametricregion.limits[v][1] + + result = integrate(integrand, (u, lower_u, upper_u), (v, lower_v, upper_v)) + + else: + variables = cls._bounds_case(parametricregion.parameters, parametricregion.limits) + coeff = Matrix(parametricregion.definition).jacobian(variables).det() + integrand = simplify(parametricfield*coeff) + + l = [(var, parametricregion.limits[var][0], parametricregion.limits[var][1]) for var in variables] + result = integrate(integrand, *l) + + if not isinstance(result, Integral): + return result + else: + return super().__new__(cls, field, parametricregion) + + @classmethod + def _bounds_case(cls, parameters, limits): + + V = list(limits.keys()) + E = [] + + for p in V: + lower_p = limits[p][0] + upper_p = limits[p][1] + + lower_p = lower_p.atoms() + upper_p = upper_p.atoms() + E.extend((p, q) for q in V if p != q and + (lower_p.issuperset({q}) or upper_p.issuperset({q}))) + + if not E: + return parameters + else: + return topological_sort((V, E), key=default_sort_key) + + @property + def field(self): + return self.args[0] + + @property + def parametricregion(self): + return self.args[1] + + +def vector_integrate(field, *region): + """ + Compute the integral of a vector/scalar field + over a a region or a set of parameters. + + Examples + ======== + >>> from sympy.vector import CoordSys3D, ParametricRegion, vector_integrate + >>> from sympy.abc import x, y, t + >>> C = CoordSys3D('C') + + >>> region = ParametricRegion((t, t**2), (t, 1, 5)) + >>> vector_integrate(C.x*C.i, region) + 12 + + Integrals over some objects of geometry module can also be calculated. + + >>> from sympy.geometry import Point, Circle, Triangle + >>> c = Circle(Point(0, 2), 5) + >>> vector_integrate(C.x**2 + C.y**2, c) + 290*pi + >>> triangle = Triangle(Point(-2, 3), Point(2, 3), Point(0, 5)) + >>> vector_integrate(3*C.x**2*C.y*C.i + C.j, triangle) + -8 + + Integrals over some simple implicit regions can be computed. But in most cases, + it takes too long to compute over them. This is due to the expressions of parametric + representation becoming large. + + >>> from sympy.vector import ImplicitRegion + >>> c2 = ImplicitRegion((x, y), (x - 2)**2 + (y - 1)**2 - 9) + >>> vector_integrate(1, c2) + 6*pi + + Integral of fields with respect to base scalars: + + >>> vector_integrate(12*C.y**3, (C.y, 1, 3)) + 240 + >>> vector_integrate(C.x**2*C.z, C.x) + C.x**3*C.z/3 + >>> vector_integrate(C.x*C.i - C.y*C.k, C.x) + (Integral(C.x, C.x))*C.i + (Integral(-C.y, C.x))*C.k + >>> _.doit() + C.x**2/2*C.i + (-C.x*C.y)*C.k + + """ + if len(region) == 1: + if isinstance(region[0], ParametricRegion): + return ParametricIntegral(field, region[0]) + + if isinstance(region[0], ImplicitRegion): + region = parametric_region_list(region[0])[0] + return vector_integrate(field, region) + + if isinstance(region[0], GeometryEntity): + regions_list = parametric_region_list(region[0]) + + result = 0 + for reg in regions_list: + result += vector_integrate(field, reg) + return result + + return integrate(field, *region) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/vector/kind.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/vector/kind.py new file mode 100644 index 0000000000000000000000000000000000000000..c6c04896b34c9c92c3fb340d94985df859e5877d --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/vector/kind.py @@ -0,0 +1,67 @@ +#sympy.vector.kind + +from sympy.core.kind import Kind, _NumberKind, NumberKind +from sympy.core.mul import Mul + +class VectorKind(Kind): + """ + Kind for all vector objects in SymPy. + + Parameters + ========== + + element_kind : Kind + Kind of the element. Default is + :class:`sympy.core.kind.NumberKind`, + which means that the vector contains only numbers. + + Examples + ======== + + Any instance of Vector class has kind ``VectorKind``: + + >>> from sympy.vector.coordsysrect import CoordSys3D + >>> Sys = CoordSys3D('Sys') + >>> Sys.i.kind + VectorKind(NumberKind) + + Operations between instances of Vector keep also have the kind ``VectorKind``: + + >>> from sympy.core.add import Add + >>> v1 = Sys.i * 2 + Sys.j * 3 + Sys.k * 4 + >>> v2 = Sys.i * Sys.x + Sys.j * Sys.y + Sys.k * Sys.z + >>> v1.kind + VectorKind(NumberKind) + >>> v2.kind + VectorKind(NumberKind) + >>> Add(v1, v2).kind + VectorKind(NumberKind) + + Subclasses of Vector also have the kind ``VectorKind``, such as + Cross, VectorAdd, VectorMul or VectorZero. + + See Also + ======== + + sympy.core.kind.Kind + sympy.matrices.kind.MatrixKind + + """ + def __new__(cls, element_kind=NumberKind): + obj = super().__new__(cls, element_kind) + obj.element_kind = element_kind + return obj + + def __repr__(self): + return "VectorKind(%s)" % self.element_kind + +@Mul._kind_dispatcher.register(_NumberKind, VectorKind) +def num_vec_mul(k1, k2): + """ + The result of a multiplication between a number and a Vector should be of VectorKind. + The element kind is selected by recursive dispatching. + """ + if not isinstance(k2, VectorKind): + k1, k2 = k2, k1 + elemk = Mul._kind_dispatcher(k1, k2.element_kind) + return VectorKind(elemk) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/vector/operators.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/vector/operators.py new file mode 100644 index 0000000000000000000000000000000000000000..3ca42d20302f972cef66e0b4a35ac75606b2da94 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/vector/operators.py @@ -0,0 +1,335 @@ +import collections +from sympy.core.expr import Expr +from sympy.core import sympify, S, preorder_traversal +from sympy.vector.coordsysrect import CoordSys3D +from sympy.vector.vector import Vector, VectorMul, VectorAdd, Cross, Dot +from sympy.core.function import Derivative +from sympy.core.add import Add +from sympy.core.mul import Mul + + +def _get_coord_systems(expr): + g = preorder_traversal(expr) + ret = set() + for i in g: + if isinstance(i, CoordSys3D): + ret.add(i) + g.skip() + return frozenset(ret) + + +def _split_mul_args_wrt_coordsys(expr): + d = collections.defaultdict(lambda: S.One) + for i in expr.args: + d[_get_coord_systems(i)] *= i + return list(d.values()) + + +class Gradient(Expr): + """ + Represents unevaluated Gradient. + + Examples + ======== + + >>> from sympy.vector import CoordSys3D, Gradient + >>> R = CoordSys3D('R') + >>> s = R.x*R.y*R.z + >>> Gradient(s) + Gradient(R.x*R.y*R.z) + + """ + + def __new__(cls, expr): + expr = sympify(expr) + obj = Expr.__new__(cls, expr) + obj._expr = expr + return obj + + def doit(self, **hints): + return gradient(self._expr, doit=True) + + +class Divergence(Expr): + """ + Represents unevaluated Divergence. + + Examples + ======== + + >>> from sympy.vector import CoordSys3D, Divergence + >>> R = CoordSys3D('R') + >>> v = R.y*R.z*R.i + R.x*R.z*R.j + R.x*R.y*R.k + >>> Divergence(v) + Divergence(R.y*R.z*R.i + R.x*R.z*R.j + R.x*R.y*R.k) + + """ + + def __new__(cls, expr): + expr = sympify(expr) + obj = Expr.__new__(cls, expr) + obj._expr = expr + return obj + + def doit(self, **hints): + return divergence(self._expr, doit=True) + + +class Curl(Expr): + """ + Represents unevaluated Curl. + + Examples + ======== + + >>> from sympy.vector import CoordSys3D, Curl + >>> R = CoordSys3D('R') + >>> v = R.y*R.z*R.i + R.x*R.z*R.j + R.x*R.y*R.k + >>> Curl(v) + Curl(R.y*R.z*R.i + R.x*R.z*R.j + R.x*R.y*R.k) + + """ + + def __new__(cls, expr): + expr = sympify(expr) + obj = Expr.__new__(cls, expr) + obj._expr = expr + return obj + + def doit(self, **hints): + return curl(self._expr, doit=True) + + +def curl(vect, doit=True): + """ + Returns the curl of a vector field computed wrt the base scalars + of the given coordinate system. + + Parameters + ========== + + vect : Vector + The vector operand + + doit : bool + If True, the result is returned after calling .doit() on + each component. Else, the returned expression contains + Derivative instances + + Examples + ======== + + >>> from sympy.vector import CoordSys3D, curl + >>> R = CoordSys3D('R') + >>> v1 = R.y*R.z*R.i + R.x*R.z*R.j + R.x*R.y*R.k + >>> curl(v1) + 0 + >>> v2 = R.x*R.y*R.z*R.i + >>> curl(v2) + R.x*R.y*R.j + (-R.x*R.z)*R.k + + """ + + coord_sys = _get_coord_systems(vect) + + if len(coord_sys) == 0: + return Vector.zero + elif len(coord_sys) == 1: + coord_sys = next(iter(coord_sys)) + i, j, k = coord_sys.base_vectors() + x, y, z = coord_sys.base_scalars() + h1, h2, h3 = coord_sys.lame_coefficients() + vectx = vect.dot(i) + vecty = vect.dot(j) + vectz = vect.dot(k) + outvec = Vector.zero + outvec += (Derivative(vectz * h3, y) - + Derivative(vecty * h2, z)) * i / (h2 * h3) + outvec += (Derivative(vectx * h1, z) - + Derivative(vectz * h3, x)) * j / (h1 * h3) + outvec += (Derivative(vecty * h2, x) - + Derivative(vectx * h1, y)) * k / (h2 * h1) + + if doit: + return outvec.doit() + return outvec + else: + if isinstance(vect, (Add, VectorAdd)): + from sympy.vector import express + try: + cs = next(iter(coord_sys)) + args = [express(i, cs, variables=True) for i in vect.args] + except ValueError: + args = vect.args + return VectorAdd.fromiter(curl(i, doit=doit) for i in args) + elif isinstance(vect, (Mul, VectorMul)): + vector = [i for i in vect.args if isinstance(i, (Vector, Cross, Gradient))][0] + scalar = Mul.fromiter(i for i in vect.args if not isinstance(i, (Vector, Cross, Gradient))) + res = Cross(gradient(scalar), vector).doit() + scalar*curl(vector, doit=doit) + if doit: + return res.doit() + return res + elif isinstance(vect, (Cross, Curl, Gradient)): + return Curl(vect) + else: + raise ValueError("Invalid argument for curl") + + +def divergence(vect, doit=True): + """ + Returns the divergence of a vector field computed wrt the base + scalars of the given coordinate system. + + Parameters + ========== + + vector : Vector + The vector operand + + doit : bool + If True, the result is returned after calling .doit() on + each component. Else, the returned expression contains + Derivative instances + + Examples + ======== + + >>> from sympy.vector import CoordSys3D, divergence + >>> R = CoordSys3D('R') + >>> v1 = R.x*R.y*R.z * (R.i+R.j+R.k) + + >>> divergence(v1) + R.x*R.y + R.x*R.z + R.y*R.z + >>> v2 = 2*R.y*R.z*R.j + >>> divergence(v2) + 2*R.z + + """ + coord_sys = _get_coord_systems(vect) + if len(coord_sys) == 0: + return S.Zero + elif len(coord_sys) == 1: + if isinstance(vect, (Cross, Curl, Gradient)): + return Divergence(vect) + # TODO: is case of many coord systems, this gets a random one: + coord_sys = next(iter(coord_sys)) + i, j, k = coord_sys.base_vectors() + x, y, z = coord_sys.base_scalars() + h1, h2, h3 = coord_sys.lame_coefficients() + vx = _diff_conditional(vect.dot(i), x, h2, h3) \ + / (h1 * h2 * h3) + vy = _diff_conditional(vect.dot(j), y, h3, h1) \ + / (h1 * h2 * h3) + vz = _diff_conditional(vect.dot(k), z, h1, h2) \ + / (h1 * h2 * h3) + res = vx + vy + vz + if doit: + return res.doit() + return res + else: + if isinstance(vect, (Add, VectorAdd)): + return Add.fromiter(divergence(i, doit=doit) for i in vect.args) + elif isinstance(vect, (Mul, VectorMul)): + vector = [i for i in vect.args if isinstance(i, (Vector, Cross, Gradient))][0] + scalar = Mul.fromiter(i for i in vect.args if not isinstance(i, (Vector, Cross, Gradient))) + res = Dot(vector, gradient(scalar)) + scalar*divergence(vector, doit=doit) + if doit: + return res.doit() + return res + elif isinstance(vect, (Cross, Curl, Gradient)): + return Divergence(vect) + else: + raise ValueError("Invalid argument for divergence") + + +def gradient(scalar_field, doit=True): + """ + Returns the vector gradient of a scalar field computed wrt the + base scalars of the given coordinate system. + + Parameters + ========== + + scalar_field : SymPy Expr + The scalar field to compute the gradient of + + doit : bool + If True, the result is returned after calling .doit() on + each component. Else, the returned expression contains + Derivative instances + + Examples + ======== + + >>> from sympy.vector import CoordSys3D, gradient + >>> R = CoordSys3D('R') + >>> s1 = R.x*R.y*R.z + >>> gradient(s1) + R.y*R.z*R.i + R.x*R.z*R.j + R.x*R.y*R.k + >>> s2 = 5*R.x**2*R.z + >>> gradient(s2) + 10*R.x*R.z*R.i + 5*R.x**2*R.k + + """ + coord_sys = _get_coord_systems(scalar_field) + + if len(coord_sys) == 0: + return Vector.zero + elif len(coord_sys) == 1: + coord_sys = next(iter(coord_sys)) + h1, h2, h3 = coord_sys.lame_coefficients() + i, j, k = coord_sys.base_vectors() + x, y, z = coord_sys.base_scalars() + vx = Derivative(scalar_field, x) / h1 + vy = Derivative(scalar_field, y) / h2 + vz = Derivative(scalar_field, z) / h3 + + if doit: + return (vx * i + vy * j + vz * k).doit() + return vx * i + vy * j + vz * k + else: + if isinstance(scalar_field, (Add, VectorAdd)): + return VectorAdd.fromiter(gradient(i) for i in scalar_field.args) + if isinstance(scalar_field, (Mul, VectorMul)): + s = _split_mul_args_wrt_coordsys(scalar_field) + return VectorAdd.fromiter(scalar_field / i * gradient(i) for i in s) + return Gradient(scalar_field) + + +class Laplacian(Expr): + """ + Represents unevaluated Laplacian. + + Examples + ======== + + >>> from sympy.vector import CoordSys3D, Laplacian + >>> R = CoordSys3D('R') + >>> v = 3*R.x**3*R.y**2*R.z**3 + >>> Laplacian(v) + Laplacian(3*R.x**3*R.y**2*R.z**3) + + """ + + def __new__(cls, expr): + expr = sympify(expr) + obj = Expr.__new__(cls, expr) + obj._expr = expr + return obj + + def doit(self, **hints): + from sympy.vector.functions import laplacian + return laplacian(self._expr) + + +def _diff_conditional(expr, base_scalar, coeff_1, coeff_2): + """ + First re-expresses expr in the system that base_scalar belongs to. + If base_scalar appears in the re-expressed form, differentiates + it wrt base_scalar. + Else, returns 0 + """ + from sympy.vector.functions import express + new_expr = express(expr, base_scalar.system, variables=True) + arg = coeff_1 * coeff_2 * new_expr + return Derivative(arg, base_scalar) if arg else S.Zero diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/vector/orienters.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/vector/orienters.py new file mode 100644 index 0000000000000000000000000000000000000000..0c22089e568bc817c943c1beecebde0fea46b6ae --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/vector/orienters.py @@ -0,0 +1,398 @@ +from sympy.core.basic import Basic +from sympy.core.sympify import sympify +from sympy.functions.elementary.trigonometric import (cos, sin) +from sympy.matrices.dense import (eye, rot_axis1, rot_axis2, rot_axis3) +from sympy.matrices.immutable import ImmutableDenseMatrix as Matrix +from sympy.core.cache import cacheit +from sympy.core.symbol import Str +import sympy.vector + + +class Orienter(Basic): + """ + Super-class for all orienter classes. + """ + + def rotation_matrix(self): + """ + The rotation matrix corresponding to this orienter + instance. + """ + return self._parent_orient + + +class AxisOrienter(Orienter): + """ + Class to denote an axis orienter. + """ + + def __new__(cls, angle, axis): + if not isinstance(axis, sympy.vector.Vector): + raise TypeError("axis should be a Vector") + angle = sympify(angle) + + obj = super().__new__(cls, angle, axis) + obj._angle = angle + obj._axis = axis + + return obj + + def __init__(self, angle, axis): + """ + Axis rotation is a rotation about an arbitrary axis by + some angle. The angle is supplied as a SymPy expr scalar, and + the axis is supplied as a Vector. + + Parameters + ========== + + angle : Expr + The angle by which the new system is to be rotated + + axis : Vector + The axis around which the rotation has to be performed + + Examples + ======== + + >>> from sympy.vector import CoordSys3D + >>> from sympy import symbols + >>> q1 = symbols('q1') + >>> N = CoordSys3D('N') + >>> from sympy.vector import AxisOrienter + >>> orienter = AxisOrienter(q1, N.i + 2 * N.j) + >>> B = N.orient_new('B', (orienter, )) + + """ + # Dummy initializer for docstrings + pass + + @cacheit + def rotation_matrix(self, system): + """ + The rotation matrix corresponding to this orienter + instance. + + Parameters + ========== + + system : CoordSys3D + The coordinate system wrt which the rotation matrix + is to be computed + """ + + axis = sympy.vector.express(self.axis, system).normalize() + axis = axis.to_matrix(system) + theta = self.angle + parent_orient = ((eye(3) - axis * axis.T) * cos(theta) + + Matrix([[0, -axis[2], axis[1]], + [axis[2], 0, -axis[0]], + [-axis[1], axis[0], 0]]) * sin(theta) + + axis * axis.T) + parent_orient = parent_orient.T + return parent_orient + + @property + def angle(self): + return self._angle + + @property + def axis(self): + return self._axis + + +class ThreeAngleOrienter(Orienter): + """ + Super-class for Body and Space orienters. + """ + + def __new__(cls, angle1, angle2, angle3, rot_order): + if isinstance(rot_order, Str): + rot_order = rot_order.name + + approved_orders = ('123', '231', '312', '132', '213', + '321', '121', '131', '212', '232', + '313', '323', '') + original_rot_order = rot_order + rot_order = str(rot_order).upper() + if not (len(rot_order) == 3): + raise TypeError('rot_order should be a str of length 3') + rot_order = [i.replace('X', '1') for i in rot_order] + rot_order = [i.replace('Y', '2') for i in rot_order] + rot_order = [i.replace('Z', '3') for i in rot_order] + rot_order = ''.join(rot_order) + if rot_order not in approved_orders: + raise TypeError('Invalid rot_type parameter') + a1 = int(rot_order[0]) + a2 = int(rot_order[1]) + a3 = int(rot_order[2]) + angle1 = sympify(angle1) + angle2 = sympify(angle2) + angle3 = sympify(angle3) + if cls._in_order: + parent_orient = (_rot(a1, angle1) * + _rot(a2, angle2) * + _rot(a3, angle3)) + else: + parent_orient = (_rot(a3, angle3) * + _rot(a2, angle2) * + _rot(a1, angle1)) + parent_orient = parent_orient.T + + obj = super().__new__( + cls, angle1, angle2, angle3, Str(rot_order)) + obj._angle1 = angle1 + obj._angle2 = angle2 + obj._angle3 = angle3 + obj._rot_order = original_rot_order + obj._parent_orient = parent_orient + + return obj + + @property + def angle1(self): + return self._angle1 + + @property + def angle2(self): + return self._angle2 + + @property + def angle3(self): + return self._angle3 + + @property + def rot_order(self): + return self._rot_order + + +class BodyOrienter(ThreeAngleOrienter): + """ + Class to denote a body-orienter. + """ + + _in_order = True + + def __new__(cls, angle1, angle2, angle3, rot_order): + obj = ThreeAngleOrienter.__new__(cls, angle1, angle2, angle3, + rot_order) + return obj + + def __init__(self, angle1, angle2, angle3, rot_order): + """ + Body orientation takes this coordinate system through three + successive simple rotations. + + Body fixed rotations include both Euler Angles and + Tait-Bryan Angles, see https://en.wikipedia.org/wiki/Euler_angles. + + Parameters + ========== + + angle1, angle2, angle3 : Expr + Three successive angles to rotate the coordinate system by + + rotation_order : string + String defining the order of axes for rotation + + Examples + ======== + + >>> from sympy.vector import CoordSys3D, BodyOrienter + >>> from sympy import symbols + >>> q1, q2, q3 = symbols('q1 q2 q3') + >>> N = CoordSys3D('N') + + A 'Body' fixed rotation is described by three angles and + three body-fixed rotation axes. To orient a coordinate system D + with respect to N, each sequential rotation is always about + the orthogonal unit vectors fixed to D. For example, a '123' + rotation will specify rotations about N.i, then D.j, then + D.k. (Initially, D.i is same as N.i) + Therefore, + + >>> body_orienter = BodyOrienter(q1, q2, q3, '123') + >>> D = N.orient_new('D', (body_orienter, )) + + is same as + + >>> from sympy.vector import AxisOrienter + >>> axis_orienter1 = AxisOrienter(q1, N.i) + >>> D = N.orient_new('D', (axis_orienter1, )) + >>> axis_orienter2 = AxisOrienter(q2, D.j) + >>> D = D.orient_new('D', (axis_orienter2, )) + >>> axis_orienter3 = AxisOrienter(q3, D.k) + >>> D = D.orient_new('D', (axis_orienter3, )) + + Acceptable rotation orders are of length 3, expressed in XYZ or + 123, and cannot have a rotation about about an axis twice in a row. + + >>> body_orienter1 = BodyOrienter(q1, q2, q3, '123') + >>> body_orienter2 = BodyOrienter(q1, q2, 0, 'ZXZ') + >>> body_orienter3 = BodyOrienter(0, 0, 0, 'XYX') + + """ + # Dummy initializer for docstrings + pass + + +class SpaceOrienter(ThreeAngleOrienter): + """ + Class to denote a space-orienter. + """ + + _in_order = False + + def __new__(cls, angle1, angle2, angle3, rot_order): + obj = ThreeAngleOrienter.__new__(cls, angle1, angle2, angle3, + rot_order) + return obj + + def __init__(self, angle1, angle2, angle3, rot_order): + """ + Space rotation is similar to Body rotation, but the rotations + are applied in the opposite order. + + Parameters + ========== + + angle1, angle2, angle3 : Expr + Three successive angles to rotate the coordinate system by + + rotation_order : string + String defining the order of axes for rotation + + See Also + ======== + + BodyOrienter : Orienter to orient systems wrt Euler angles. + + Examples + ======== + + >>> from sympy.vector import CoordSys3D, SpaceOrienter + >>> from sympy import symbols + >>> q1, q2, q3 = symbols('q1 q2 q3') + >>> N = CoordSys3D('N') + + To orient a coordinate system D with respect to N, each + sequential rotation is always about N's orthogonal unit vectors. + For example, a '123' rotation will specify rotations about + N.i, then N.j, then N.k. + Therefore, + + >>> space_orienter = SpaceOrienter(q1, q2, q3, '312') + >>> D = N.orient_new('D', (space_orienter, )) + + is same as + + >>> from sympy.vector import AxisOrienter + >>> axis_orienter1 = AxisOrienter(q1, N.i) + >>> B = N.orient_new('B', (axis_orienter1, )) + >>> axis_orienter2 = AxisOrienter(q2, N.j) + >>> C = B.orient_new('C', (axis_orienter2, )) + >>> axis_orienter3 = AxisOrienter(q3, N.k) + >>> D = C.orient_new('C', (axis_orienter3, )) + + """ + # Dummy initializer for docstrings + pass + + +class QuaternionOrienter(Orienter): + """ + Class to denote a quaternion-orienter. + """ + + def __new__(cls, q0, q1, q2, q3): + q0 = sympify(q0) + q1 = sympify(q1) + q2 = sympify(q2) + q3 = sympify(q3) + parent_orient = (Matrix([[q0 ** 2 + q1 ** 2 - q2 ** 2 - + q3 ** 2, + 2 * (q1 * q2 - q0 * q3), + 2 * (q0 * q2 + q1 * q3)], + [2 * (q1 * q2 + q0 * q3), + q0 ** 2 - q1 ** 2 + + q2 ** 2 - q3 ** 2, + 2 * (q2 * q3 - q0 * q1)], + [2 * (q1 * q3 - q0 * q2), + 2 * (q0 * q1 + q2 * q3), + q0 ** 2 - q1 ** 2 - + q2 ** 2 + q3 ** 2]])) + parent_orient = parent_orient.T + + obj = super().__new__(cls, q0, q1, q2, q3) + obj._q0 = q0 + obj._q1 = q1 + obj._q2 = q2 + obj._q3 = q3 + obj._parent_orient = parent_orient + + return obj + + def __init__(self, angle1, angle2, angle3, rot_order): + """ + Quaternion orientation orients the new CoordSys3D with + Quaternions, defined as a finite rotation about lambda, a unit + vector, by some amount theta. + + This orientation is described by four parameters: + + q0 = cos(theta/2) + + q1 = lambda_x sin(theta/2) + + q2 = lambda_y sin(theta/2) + + q3 = lambda_z sin(theta/2) + + Quaternion does not take in a rotation order. + + Parameters + ========== + + q0, q1, q2, q3 : Expr + The quaternions to rotate the coordinate system by + + Examples + ======== + + >>> from sympy.vector import CoordSys3D + >>> from sympy import symbols + >>> q0, q1, q2, q3 = symbols('q0 q1 q2 q3') + >>> N = CoordSys3D('N') + >>> from sympy.vector import QuaternionOrienter + >>> q_orienter = QuaternionOrienter(q0, q1, q2, q3) + >>> B = N.orient_new('B', (q_orienter, )) + + """ + # Dummy initializer for docstrings + pass + + @property + def q0(self): + return self._q0 + + @property + def q1(self): + return self._q1 + + @property + def q2(self): + return self._q2 + + @property + def q3(self): + return self._q3 + + +def _rot(axis, angle): + """DCM for simple axis 1, 2 or 3 rotations. """ + if axis == 1: + return Matrix(rot_axis1(angle).T) + elif axis == 2: + return Matrix(rot_axis2(angle).T) + elif axis == 3: + return Matrix(rot_axis3(angle).T) diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/vector/parametricregion.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/vector/parametricregion.py new file mode 100644 index 0000000000000000000000000000000000000000..5246769dabe208fe630f7c33b2da3ef4e11b3f67 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/vector/parametricregion.py @@ -0,0 +1,189 @@ +from functools import singledispatch +from sympy.core.numbers import pi +from sympy.functions.elementary.trigonometric import tan +from sympy.simplify import trigsimp +from sympy.core import Basic, Tuple +from sympy.core.symbol import _symbol +from sympy.solvers import solve +from sympy.geometry import Point, Segment, Curve, Ellipse, Polygon +from sympy.vector import ImplicitRegion + + +class ParametricRegion(Basic): + """ + Represents a parametric region in space. + + Examples + ======== + + >>> from sympy import cos, sin, pi + >>> from sympy.abc import r, theta, t, a, b, x, y + >>> from sympy.vector import ParametricRegion + + >>> ParametricRegion((t, t**2), (t, -1, 2)) + ParametricRegion((t, t**2), (t, -1, 2)) + >>> ParametricRegion((x, y), (x, 3, 4), (y, 5, 6)) + ParametricRegion((x, y), (x, 3, 4), (y, 5, 6)) + >>> ParametricRegion((r*cos(theta), r*sin(theta)), (r, -2, 2), (theta, 0, pi)) + ParametricRegion((r*cos(theta), r*sin(theta)), (r, -2, 2), (theta, 0, pi)) + >>> ParametricRegion((a*cos(t), b*sin(t)), t) + ParametricRegion((a*cos(t), b*sin(t)), t) + + >>> circle = ParametricRegion((r*cos(theta), r*sin(theta)), r, (theta, 0, pi)) + >>> circle.parameters + (r, theta) + >>> circle.definition + (r*cos(theta), r*sin(theta)) + >>> circle.limits + {theta: (0, pi)} + + Dimension of a parametric region determines whether a region is a curve, surface + or volume region. It does not represent its dimensions in space. + + >>> circle.dimensions + 1 + + Parameters + ========== + + definition : tuple to define base scalars in terms of parameters. + + bounds : Parameter or a tuple of length 3 to define parameter and corresponding lower and upper bound. + + """ + def __new__(cls, definition, *bounds): + parameters = () + limits = {} + + if not isinstance(bounds, Tuple): + bounds = Tuple(*bounds) + + for bound in bounds: + if isinstance(bound, (tuple, Tuple)): + if len(bound) != 3: + raise ValueError("Tuple should be in the form (parameter, lowerbound, upperbound)") + parameters += (bound[0],) + limits[bound[0]] = (bound[1], bound[2]) + else: + parameters += (bound,) + + if not isinstance(definition, (tuple, Tuple)): + definition = (definition,) + + obj = super().__new__(cls, Tuple(*definition), *bounds) + obj._parameters = parameters + obj._limits = limits + + return obj + + @property + def definition(self): + return self.args[0] + + @property + def limits(self): + return self._limits + + @property + def parameters(self): + return self._parameters + + @property + def dimensions(self): + return len(self.limits) + + +@singledispatch +def parametric_region_list(reg): + """ + Returns a list of ParametricRegion objects representing the geometric region. + + Examples + ======== + + >>> from sympy.abc import t + >>> from sympy.vector import parametric_region_list + >>> from sympy.geometry import Point, Curve, Ellipse, Segment, Polygon + + >>> p = Point(2, 5) + >>> parametric_region_list(p) + [ParametricRegion((2, 5))] + + >>> c = Curve((t**3, 4*t), (t, -3, 4)) + >>> parametric_region_list(c) + [ParametricRegion((t**3, 4*t), (t, -3, 4))] + + >>> e = Ellipse(Point(1, 3), 2, 3) + >>> parametric_region_list(e) + [ParametricRegion((2*cos(t) + 1, 3*sin(t) + 3), (t, 0, 2*pi))] + + >>> s = Segment(Point(1, 3), Point(2, 6)) + >>> parametric_region_list(s) + [ParametricRegion((t + 1, 3*t + 3), (t, 0, 1))] + + >>> p1, p2, p3, p4 = [(0, 1), (2, -3), (5, 3), (-2, 3)] + >>> poly = Polygon(p1, p2, p3, p4) + >>> parametric_region_list(poly) + [ParametricRegion((2*t, 1 - 4*t), (t, 0, 1)), ParametricRegion((3*t + 2, 6*t - 3), (t, 0, 1)),\ + ParametricRegion((5 - 7*t, 3), (t, 0, 1)), ParametricRegion((2*t - 2, 3 - 2*t), (t, 0, 1))] + + """ + raise ValueError("SymPy cannot determine parametric representation of the region.") + + +@parametric_region_list.register(Point) +def _(obj): + return [ParametricRegion(obj.args)] + + +@parametric_region_list.register(Curve) # type: ignore +def _(obj): + definition = obj.arbitrary_point(obj.parameter).args + bounds = obj.limits + return [ParametricRegion(definition, bounds)] + + +@parametric_region_list.register(Ellipse) # type: ignore +def _(obj, parameter='t'): + definition = obj.arbitrary_point(parameter).args + t = _symbol(parameter, real=True) + bounds = (t, 0, 2*pi) + return [ParametricRegion(definition, bounds)] + + +@parametric_region_list.register(Segment) # type: ignore +def _(obj, parameter='t'): + t = _symbol(parameter, real=True) + definition = obj.arbitrary_point(t).args + + for i in range(0, 3): + lower_bound = solve(definition[i] - obj.points[0].args[i], t) + upper_bound = solve(definition[i] - obj.points[1].args[i], t) + + if len(lower_bound) == 1 and len(upper_bound) == 1: + bounds = t, lower_bound[0], upper_bound[0] + break + + definition_tuple = obj.arbitrary_point(parameter).args + return [ParametricRegion(definition_tuple, bounds)] + + +@parametric_region_list.register(Polygon) # type: ignore +def _(obj, parameter='t'): + l = [parametric_region_list(side, parameter)[0] for side in obj.sides] + return l + + +@parametric_region_list.register(ImplicitRegion) # type: ignore +def _(obj, parameters=('t', 's')): + definition = obj.rational_parametrization(parameters) + bounds = [] + + for i in range(len(obj.variables) - 1): + # Each parameter is replaced by its tangent to simplify integration + parameter = _symbol(parameters[i], real=True) + definition = [trigsimp(elem.subs(parameter, tan(parameter/2))) for elem in definition] + bounds.append((parameter, 0, 2*pi),) + + definition = Tuple(*definition) + return [ParametricRegion(definition, *bounds)] diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/vector/point.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/vector/point.py new file mode 100644 index 0000000000000000000000000000000000000000..442ea4e8edc0e33c4f83f774ea3f11a01725ac3a --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/vector/point.py @@ -0,0 +1,148 @@ +from sympy.core.basic import Basic +from sympy.core.symbol import Str +from sympy.vector.vector import Vector +from sympy.vector.coordsysrect import CoordSys3D +from sympy.vector.functions import _path +from sympy.core.cache import cacheit + + +class Point(Basic): + """ + Represents a point in 3-D space. + """ + + def __new__(cls, name, position=Vector.zero, parent_point=None): + name = str(name) + # Check the args first + if not isinstance(position, Vector): + raise TypeError( + "position should be an instance of Vector, not %s" % type( + position)) + if (not isinstance(parent_point, Point) and + parent_point is not None): + raise TypeError( + "parent_point should be an instance of Point, not %s" % type( + parent_point)) + # Super class construction + if parent_point is None: + obj = super().__new__(cls, Str(name), position) + else: + obj = super().__new__(cls, Str(name), position, parent_point) + # Decide the object parameters + obj._name = name + obj._pos = position + if parent_point is None: + obj._parent = None + obj._root = obj + else: + obj._parent = parent_point + obj._root = parent_point._root + # Return object + return obj + + @cacheit + def position_wrt(self, other): + """ + Returns the position vector of this Point with respect to + another Point/CoordSys3D. + + Parameters + ========== + + other : Point/CoordSys3D + If other is a Point, the position of this Point wrt it is + returned. If its an instance of CoordSyRect, the position + wrt its origin is returned. + + Examples + ======== + + >>> from sympy.vector import CoordSys3D + >>> N = CoordSys3D('N') + >>> p1 = N.origin.locate_new('p1', 10 * N.i) + >>> N.origin.position_wrt(p1) + (-10)*N.i + + """ + + if (not isinstance(other, Point) and + not isinstance(other, CoordSys3D)): + raise TypeError(str(other) + + "is not a Point or CoordSys3D") + if isinstance(other, CoordSys3D): + other = other.origin + # Handle special cases + if other == self: + return Vector.zero + elif other == self._parent: + return self._pos + elif other._parent == self: + return -1 * other._pos + # Else, use point tree to calculate position + rootindex, path = _path(self, other) + result = Vector.zero + for i in range(rootindex): + result += path[i]._pos + for i in range(rootindex + 1, len(path)): + result -= path[i]._pos + return result + + def locate_new(self, name, position): + """ + Returns a new Point located at the given position wrt this + Point. + Thus, the position vector of the new Point wrt this one will + be equal to the given 'position' parameter. + + Parameters + ========== + + name : str + Name of the new point + + position : Vector + The position vector of the new Point wrt this one + + Examples + ======== + + >>> from sympy.vector import CoordSys3D + >>> N = CoordSys3D('N') + >>> p1 = N.origin.locate_new('p1', 10 * N.i) + >>> p1.position_wrt(N.origin) + 10*N.i + + """ + return Point(name, position, self) + + def express_coordinates(self, coordinate_system): + """ + Returns the Cartesian/rectangular coordinates of this point + wrt the origin of the given CoordSys3D instance. + + Parameters + ========== + + coordinate_system : CoordSys3D + The coordinate system to express the coordinates of this + Point in. + + Examples + ======== + + >>> from sympy.vector import CoordSys3D + >>> N = CoordSys3D('N') + >>> p1 = N.origin.locate_new('p1', 10 * N.i) + >>> p2 = p1.locate_new('p2', 5 * N.j) + >>> p2.express_coordinates(N) + (10, 5, 0) + + """ + + # Determine the position vector + pos_vect = self.position_wrt(coordinate_system.origin) + # Express it in the given coordinate system + return tuple(pos_vect.to_matrix(coordinate_system)) + + def _sympystr(self, printer): + return self._name diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/vector/scalar.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/vector/scalar.py new file mode 100644 index 0000000000000000000000000000000000000000..bcfb56cf177b9378a24f81ca1e6524fe048a5f94 --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/vector/scalar.py @@ -0,0 +1,72 @@ +from sympy.core import AtomicExpr, Symbol, S +from sympy.core.sympify import _sympify +from sympy.printing.pretty.stringpict import prettyForm +from sympy.printing.precedence import PRECEDENCE +from sympy.core.kind import NumberKind + + +class BaseScalar(AtomicExpr): + """ + A coordinate symbol/base scalar. + + Ideally, users should not instantiate this class. + + """ + + kind = NumberKind + + def __new__(cls, index, system, pretty_str=None, latex_str=None): + from sympy.vector.coordsysrect import CoordSys3D + if pretty_str is None: + pretty_str = "x{}".format(index) + elif isinstance(pretty_str, Symbol): + pretty_str = pretty_str.name + if latex_str is None: + latex_str = "x_{}".format(index) + elif isinstance(latex_str, Symbol): + latex_str = latex_str.name + + index = _sympify(index) + system = _sympify(system) + obj = super().__new__(cls, index, system) + if not isinstance(system, CoordSys3D): + raise TypeError("system should be a CoordSys3D") + if index not in range(0, 3): + raise ValueError("Invalid index specified.") + # The _id is used for equating purposes, and for hashing + obj._id = (index, system) + obj._name = obj.name = system._name + '.' + system._variable_names[index] + obj._pretty_form = '' + pretty_str + obj._latex_form = latex_str + obj._system = system + + return obj + + is_commutative = True + is_symbol = True + + @property + def free_symbols(self): + return {self} + + _diff_wrt = True + + def _eval_derivative(self, s): + if self == s: + return S.One + return S.Zero + + def _latex(self, printer=None): + return self._latex_form + + def _pretty(self, printer=None): + return prettyForm(self._pretty_form) + + precedence = PRECEDENCE['Atom'] + + @property + def system(self): + return self._system + + def _sympystr(self, printer): + return self._name diff --git a/tool_server/.venv/lib/python3.12/site-packages/sympy/vector/vector.py b/tool_server/.venv/lib/python3.12/site-packages/sympy/vector/vector.py new file mode 100644 index 0000000000000000000000000000000000000000..c035ef48d2edd511f6cdbca19e965d99a2c8c66e --- /dev/null +++ b/tool_server/.venv/lib/python3.12/site-packages/sympy/vector/vector.py @@ -0,0 +1,714 @@ +from __future__ import annotations +from itertools import product + +from sympy.core import Add, Basic +from sympy.core.assumptions import StdFactKB +from sympy.core.expr import AtomicExpr, Expr +from sympy.core.power import Pow +from sympy.core.singleton import S +from sympy.core.sorting import default_sort_key +from sympy.core.sympify import sympify +from sympy.functions.elementary.miscellaneous import sqrt +from sympy.matrices.immutable import ImmutableDenseMatrix as Matrix +from sympy.vector.basisdependent import (BasisDependentZero, + BasisDependent, BasisDependentMul, BasisDependentAdd) +from sympy.vector.coordsysrect import CoordSys3D +from sympy.vector.dyadic import Dyadic, BaseDyadic, DyadicAdd +from sympy.vector.kind import VectorKind + + +class Vector(BasisDependent): + """ + Super class for all Vector classes. + Ideally, neither this class nor any of its subclasses should be + instantiated by the user. + """ + + is_scalar = False + is_Vector = True + _op_priority = 12.0 + + _expr_type: type[Vector] + _mul_func: type[Vector] + _add_func: type[Vector] + _zero_func: type[Vector] + _base_func: type[Vector] + zero: VectorZero + + kind: VectorKind = VectorKind() + + @property + def components(self): + """ + Returns the components of this vector in the form of a + Python dictionary mapping BaseVector instances to the + corresponding measure numbers. + + Examples + ======== + + >>> from sympy.vector import CoordSys3D + >>> C = CoordSys3D('C') + >>> v = 3*C.i + 4*C.j + 5*C.k + >>> v.components + {C.i: 3, C.j: 4, C.k: 5} + + """ + # The '_components' attribute is defined according to the + # subclass of Vector the instance belongs to. + return self._components + + def magnitude(self): + """ + Returns the magnitude of this vector. + """ + return sqrt(self & self) + + def normalize(self): + """ + Returns the normalized version of this vector. + """ + return self / self.magnitude() + + def equals(self, other): + """ + Check if ``self`` and ``other`` are identically equal vectors. + + Explanation + =========== + + Checks if two vector expressions are equal for all possible values of + the symbols present in the expressions. + + Examples + ======== + + >>> from sympy.vector import CoordSys3D + >>> from sympy.abc import x, y + >>> from sympy import pi + >>> C = CoordSys3D('C') + + Compare vectors that are equal or not: + + >>> C.i.equals(C.j) + False + >>> C.i.equals(C.i) + True + + These two vectors are equal if `x = y` but are not identically equal + as expressions since for some values of `x` and `y` they are unequal: + + >>> v1 = x*C.i + C.j + >>> v2 = y*C.i + C.j + >>> v1.equals(v1) + True + >>> v1.equals(v2) + False + + Vectors from different coordinate systems can be compared: + + >>> D = C.orient_new_axis('D', pi/2, C.i) + >>> D.j.equals(C.j) + False + >>> D.j.equals(C.k) + True + + Parameters + ========== + + other: Vector + The other vector expression to compare with. + + Returns + ======= + + ``True``, ``False`` or ``None``. A return value of ``True`` indicates + that the two vectors are identically equal. A return value of ``False`` + indicates that they are not. In some cases it is not possible to + determine if the two vectors are identically equal and ``None`` is + returned. + + See Also + ======== + + sympy.core.expr.Expr.equals + """ + diff = self - other + diff_mag2 = diff.dot(diff) + return diff_mag2.equals(0) + + def dot(self, other): + """ + Returns the dot product of this Vector, either with another + Vector, or a Dyadic, or a Del operator. + If 'other' is a Vector, returns the dot product scalar (SymPy + expression). + If 'other' is a Dyadic, the dot product is returned as a Vector. + If 'other' is an instance of Del, returns the directional + derivative operator as a Python function. If this function is + applied to a scalar expression, it returns the directional + derivative of the scalar field wrt this Vector. + + Parameters + ========== + + other: Vector/Dyadic/Del + The Vector or Dyadic we are dotting with, or a Del operator . + + Examples + ======== + + >>> from sympy.vector import CoordSys3D, Del + >>> C = CoordSys3D('C') + >>> delop = Del() + >>> C.i.dot(C.j) + 0 + >>> C.i & C.i + 1 + >>> v = 3*C.i + 4*C.j + 5*C.k + >>> v.dot(C.k) + 5 + >>> (C.i & delop)(C.x*C.y*C.z) + C.y*C.z + >>> d = C.i.outer(C.i) + >>> C.i.dot(d) + C.i + + """ + + # Check special cases + if isinstance(other, Dyadic): + if isinstance(self, VectorZero): + return Vector.zero + outvec = Vector.zero + for k, v in other.components.items(): + vect_dot = k.args[0].dot(self) + outvec += vect_dot * v * k.args[1] + return outvec + from sympy.vector.deloperator import Del + if not isinstance(other, (Del, Vector)): + raise TypeError(str(other) + " is not a vector, dyadic or " + + "del operator") + + # Check if the other is a del operator + if isinstance(other, Del): + def directional_derivative(field): + from sympy.vector.functions import directional_derivative + return directional_derivative(field, self) + return directional_derivative + + return dot(self, other) + + def __and__(self, other): + return self.dot(other) + + __and__.__doc__ = dot.__doc__ + + def cross(self, other): + """ + Returns the cross product of this Vector with another Vector or + Dyadic instance. + The cross product is a Vector, if 'other' is a Vector. If 'other' + is a Dyadic, this returns a Dyadic instance. + + Parameters + ========== + + other: Vector/Dyadic + The Vector or Dyadic we are crossing with. + + Examples + ======== + + >>> from sympy.vector import CoordSys3D + >>> C = CoordSys3D('C') + >>> C.i.cross(C.j) + C.k + >>> C.i ^ C.i + 0 + >>> v = 3*C.i + 4*C.j + 5*C.k + >>> v ^ C.i + 5*C.j + (-4)*C.k + >>> d = C.i.outer(C.i) + >>> C.j.cross(d) + (-1)*(C.k|C.i) + + """ + + # Check special cases + if isinstance(other, Dyadic): + if isinstance(self, VectorZero): + return Dyadic.zero + outdyad = Dyadic.zero + for k, v in other.components.items(): + cross_product = self.cross(k.args[0]) + outer = cross_product.outer(k.args[1]) + outdyad += v * outer + return outdyad + + return cross(self, other) + + def __xor__(self, other): + return self.cross(other) + + __xor__.__doc__ = cross.__doc__ + + def outer(self, other): + """ + Returns the outer product of this vector with another, in the + form of a Dyadic instance. + + Parameters + ========== + + other : Vector + The Vector with respect to which the outer product is to + be computed. + + Examples + ======== + + >>> from sympy.vector import CoordSys3D + >>> N = CoordSys3D('N') + >>> N.i.outer(N.j) + (N.i|N.j) + + """ + + # Handle the special cases + if not isinstance(other, Vector): + raise TypeError("Invalid operand for outer product") + elif (isinstance(self, VectorZero) or + isinstance(other, VectorZero)): + return Dyadic.zero + + # Iterate over components of both the vectors to generate + # the required Dyadic instance + args = [(v1 * v2) * BaseDyadic(k1, k2) for (k1, v1), (k2, v2) + in product(self.components.items(), other.components.items())] + + return DyadicAdd(*args) + + def projection(self, other, scalar=False): + """ + Returns the vector or scalar projection of the 'other' on 'self'. + + Examples + ======== + + >>> from sympy.vector.coordsysrect import CoordSys3D + >>> C = CoordSys3D('C') + >>> i, j, k = C.base_vectors() + >>> v1 = i + j + k + >>> v2 = 3*i + 4*j + >>> v1.projection(v2) + 7/3*C.i + 7/3*C.j + 7/3*C.k + >>> v1.projection(v2, scalar=True) + 7/3 + + """ + if self.equals(Vector.zero): + return S.Zero if scalar else Vector.zero + + if scalar: + return self.dot(other) / self.dot(self) + else: + return self.dot(other) / self.dot(self) * self + + @property + def _projections(self): + """ + Returns the components of this vector but the output includes + also zero values components. + + Examples + ======== + + >>> from sympy.vector import CoordSys3D, Vector + >>> C = CoordSys3D('C') + >>> v1 = 3*C.i + 4*C.j + 5*C.k + >>> v1._projections + (3, 4, 5) + >>> v2 = C.x*C.y*C.z*C.i + >>> v2._projections + (C.x*C.y*C.z, 0, 0) + >>> v3 = Vector.zero + >>> v3._projections + (0, 0, 0) + """ + + from sympy.vector.operators import _get_coord_systems + if isinstance(self, VectorZero): + return (S.Zero, S.Zero, S.Zero) + base_vec = next(iter(_get_coord_systems(self))).base_vectors() + return tuple([self.dot(i) for i in base_vec]) + + def __or__(self, other): + return self.outer(other) + + __or__.__doc__ = outer.__doc__ + + def to_matrix(self, system): + """ + Returns the matrix form of this vector with respect to the + specified coordinate system. + + Parameters + ========== + + system : CoordSys3D + The system wrt which the matrix form is to be computed + + Examples + ======== + + >>> from sympy.vector import CoordSys3D + >>> C = CoordSys3D('C') + >>> from sympy.abc import a, b, c + >>> v = a*C.i + b*C.j + c*C.k + >>> v.to_matrix(C) + Matrix([ + [a], + [b], + [c]]) + + """ + + return Matrix([self.dot(unit_vec) for unit_vec in + system.base_vectors()]) + + def separate(self): + """ + The constituents of this vector in different coordinate systems, + as per its definition. + + Returns a dict mapping each CoordSys3D to the corresponding + constituent Vector. + + Examples + ======== + + >>> from sympy.vector import CoordSys3D + >>> R1 = CoordSys3D('R1') + >>> R2 = CoordSys3D('R2') + >>> v = R1.i + R2.i + >>> v.separate() == {R1: R1.i, R2: R2.i} + True + + """ + + parts = {} + for vect, measure in self.components.items(): + parts[vect.system] = (parts.get(vect.system, Vector.zero) + + vect * measure) + return parts + + def _div_helper(one, other): + """ Helper for division involving vectors. """ + if isinstance(one, Vector) and isinstance(other, Vector): + raise TypeError("Cannot divide two vectors") + elif isinstance(one, Vector): + if other == S.Zero: + raise ValueError("Cannot divide a vector by zero") + return VectorMul(one, Pow(other, S.NegativeOne)) + else: + raise TypeError("Invalid division involving a vector") + +# The following is adapted from the matrices.expressions.matexpr file + +def get_postprocessor(cls): + def _postprocessor(expr): + vec_class = {Add: VectorAdd}[cls] + vectors = [] + for term in expr.args: + if isinstance(term.kind, VectorKind): + vectors.append(term) + + if vec_class == VectorAdd: + return VectorAdd(*vectors).doit(deep=False) + return _postprocessor + + +Basic._constructor_postprocessor_mapping[Vector] = { + "Add": [get_postprocessor(Add)], +} + +class BaseVector(Vector, AtomicExpr): + """ + Class to denote a base vector. + + """ + + def __new__(cls, index, system, pretty_str=None, latex_str=None): + if pretty_str is None: + pretty_str = "x{}".format(index) + if latex_str is None: + latex_str = "x_{}".format(index) + pretty_str = str(pretty_str) + latex_str = str(latex_str) + # Verify arguments + if index not in range(0, 3): + raise ValueError("index must be 0, 1 or 2") + if not isinstance(system, CoordSys3D): + raise TypeError("system should be a CoordSys3D") + name = system._vector_names[index] + # Initialize an object + obj = super().__new__(cls, S(index), system) + # Assign important attributes + obj._base_instance = obj + obj._components = {obj: S.One} + obj._measure_number = S.One + obj._name = system._name + '.' + name + obj._pretty_form = '' + pretty_str + obj._latex_form = latex_str + obj._system = system + # The _id is used for printing purposes + obj._id = (index, system) + assumptions = {'commutative': True} + obj._assumptions = StdFactKB(assumptions) + + # This attr is used for re-expression to one of the systems + # involved in the definition of the Vector. Applies to + # VectorMul and VectorAdd too. + obj._sys = system + + return obj + + @property + def system(self): + return self._system + + def _sympystr(self, printer): + return self._name + + def _sympyrepr(self, printer): + index, system = self._id + return printer._print(system) + '.' + system._vector_names[index] + + @property + def free_symbols(self): + return {self} + + def _eval_conjugate(self): + return self + + +class VectorAdd(BasisDependentAdd, Vector): + """ + Class to denote sum of Vector instances. + """ + + def __new__(cls, *args, **options): + obj = BasisDependentAdd.__new__(cls, *args, **options) + return obj + + def _sympystr(self, printer): + ret_str = '' + items = list(self.separate().items()) + items.sort(key=lambda x: x[0].__str__()) + for system, vect in items: + base_vects = system.base_vectors() + for x in base_vects: + if x in vect.components: + temp_vect = self.components[x] * x + ret_str += printer._print(temp_vect) + " + " + return ret_str[:-3] + + +class VectorMul(BasisDependentMul, Vector): + """ + Class to denote products of scalars and BaseVectors. + """ + + def __new__(cls, *args, **options): + obj = BasisDependentMul.__new__(cls, *args, **options) + return obj + + @property + def base_vector(self): + """ The BaseVector involved in the product. """ + return self._base_instance + + @property + def measure_number(self): + """ The scalar expression involved in the definition of + this VectorMul. + """ + return self._measure_number + + +class VectorZero(BasisDependentZero, Vector): + """ + Class to denote a zero vector + """ + + _op_priority = 12.1 + _pretty_form = '0' + _latex_form = r'\mathbf{\hat{0}}' + + def __new__(cls): + obj = BasisDependentZero.__new__(cls) + return obj + + +class Cross(Vector): + """ + Represents unevaluated Cross product. + + Examples + ======== + + >>> from sympy.vector import CoordSys3D, Cross + >>> R = CoordSys3D('R') + >>> v1 = R.i + R.j + R.k + >>> v2 = R.x * R.i + R.y * R.j + R.z * R.k + >>> Cross(v1, v2) + Cross(R.i + R.j + R.k, R.x*R.i + R.y*R.j + R.z*R.k) + >>> Cross(v1, v2).doit() + (-R.y + R.z)*R.i + (R.x - R.z)*R.j + (-R.x + R.y)*R.k + + """ + + def __new__(cls, expr1, expr2): + expr1 = sympify(expr1) + expr2 = sympify(expr2) + if default_sort_key(expr1) > default_sort_key(expr2): + return -Cross(expr2, expr1) + obj = Expr.__new__(cls, expr1, expr2) + obj._expr1 = expr1 + obj._expr2 = expr2 + return obj + + def doit(self, **hints): + return cross(self._expr1, self._expr2) + + +class Dot(Expr): + """ + Represents unevaluated Dot product. + + Examples + ======== + + >>> from sympy.vector import CoordSys3D, Dot + >>> from sympy import symbols + >>> R = CoordSys3D('R') + >>> a, b, c = symbols('a b c') + >>> v1 = R.i + R.j + R.k + >>> v2 = a * R.i + b * R.j + c * R.k + >>> Dot(v1, v2) + Dot(R.i + R.j + R.k, a*R.i + b*R.j + c*R.k) + >>> Dot(v1, v2).doit() + a + b + c + + """ + + def __new__(cls, expr1, expr2): + expr1 = sympify(expr1) + expr2 = sympify(expr2) + expr1, expr2 = sorted([expr1, expr2], key=default_sort_key) + obj = Expr.__new__(cls, expr1, expr2) + obj._expr1 = expr1 + obj._expr2 = expr2 + return obj + + def doit(self, **hints): + return dot(self._expr1, self._expr2) + + +def cross(vect1, vect2): + """ + Returns cross product of two vectors. + + Examples + ======== + + >>> from sympy.vector import CoordSys3D + >>> from sympy.vector.vector import cross + >>> R = CoordSys3D('R') + >>> v1 = R.i + R.j + R.k + >>> v2 = R.x * R.i + R.y * R.j + R.z * R.k + >>> cross(v1, v2) + (-R.y + R.z)*R.i + (R.x - R.z)*R.j + (-R.x + R.y)*R.k + + """ + if isinstance(vect1, Add): + return VectorAdd.fromiter(cross(i, vect2) for i in vect1.args) + if isinstance(vect2, Add): + return VectorAdd.fromiter(cross(vect1, i) for i in vect2.args) + if isinstance(vect1, BaseVector) and isinstance(vect2, BaseVector): + if vect1._sys == vect2._sys: + n1 = vect1.args[0] + n2 = vect2.args[0] + if n1 == n2: + return Vector.zero + n3 = ({0,1,2}.difference({n1, n2})).pop() + sign = 1 if ((n1 + 1) % 3 == n2) else -1 + return sign*vect1._sys.base_vectors()[n3] + from .functions import express + try: + v = express(vect1, vect2._sys) + except ValueError: + return Cross(vect1, vect2) + else: + return cross(v, vect2) + if isinstance(vect1, VectorZero) or isinstance(vect2, VectorZero): + return Vector.zero + if isinstance(vect1, VectorMul): + v1, m1 = next(iter(vect1.components.items())) + return m1*cross(v1, vect2) + if isinstance(vect2, VectorMul): + v2, m2 = next(iter(vect2.components.items())) + return m2*cross(vect1, v2) + + return Cross(vect1, vect2) + + +def dot(vect1, vect2): + """ + Returns dot product of two vectors. + + Examples + ======== + + >>> from sympy.vector import CoordSys3D + >>> from sympy.vector.vector import dot + >>> R = CoordSys3D('R') + >>> v1 = R.i + R.j + R.k + >>> v2 = R.x * R.i + R.y * R.j + R.z * R.k + >>> dot(v1, v2) + R.x + R.y + R.z + + """ + if isinstance(vect1, Add): + return Add.fromiter(dot(i, vect2) for i in vect1.args) + if isinstance(vect2, Add): + return Add.fromiter(dot(vect1, i) for i in vect2.args) + if isinstance(vect1, BaseVector) and isinstance(vect2, BaseVector): + if vect1._sys == vect2._sys: + return S.One if vect1 == vect2 else S.Zero + from .functions import express + try: + v = express(vect2, vect1._sys) + except ValueError: + return Dot(vect1, vect2) + else: + return dot(vect1, v) + if isinstance(vect1, VectorZero) or isinstance(vect2, VectorZero): + return S.Zero + if isinstance(vect1, VectorMul): + v1, m1 = next(iter(vect1.components.items())) + return m1*dot(v1, vect2) + if isinstance(vect2, VectorMul): + v2, m2 = next(iter(vect2.components.items())) + return m2*dot(vect1, v2) + + return Dot(vect1, vect2) + + +Vector._expr_type = Vector +Vector._mul_func = VectorMul +Vector._add_func = VectorAdd +Vector._zero_func = VectorZero +Vector._base_func = BaseVector +Vector.zero = VectorZero()