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from sympy import (Symbol, Set, Union, Interval, oo, S, sympify, nan, Max, Min, Float, DisjointUnion, FiniteSet, Intersection, imageset, I, true, false, ProductSet, sqrt, Complement, EmptySet, sin, cos, Lambda, ImageSet, pi, Pow, Contains, Sum, rootof, SymmetricDifference, Piecewise, Matrix, Range, ...
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from sympy import Symbol, log, sqrt, sin, S from sympy.plotting.textplot import textplot_str def test_axes_alignment(): x = Symbol('x') lines = [ ' 1 | ..', ' | ... ', ' ...
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#!/usr/bin/env python """Distutils based setup script for SymPy. This uses Distutils (https://python.org/sigs/distutils-sig/) the standard python mechanism for installing packages. Optionally, you can use Setuptools (https://setuptools.readthedocs.io/en/latest/) to automatically handle dependencies. For the easiest in...
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__version__ = "1.7.dev"
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#!/usr/bin/env python """ Plotting Examples Suggested Usage: python -i pyglet_plotting.py """ from sympy import symbols, sin, cos, pi, sqrt from sympy.core.compatibility import clock from sympy.plotting.pygletplot import PygletPlot from time import sleep def main(): x, y, z = symbols('x,y,z') # toggl...
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# -*- coding: utf-8 -*- # # SymPy documentation build configuration file, created by # sphinx-quickstart.py on Sat Mar 22 19:34:32 2008. # # This file is execfile()d with the current directory set to its containing dir. # # The contents of this file are pickled, so don't put values in the namespace # that aren't pickle...
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""" sympylive ~~~~~~~~~ Allow `SymPy Live <https://live.sympy.org/>`_ to be used for interactive evaluation of SymPy's code examples. :copyright: Copyright 2014 by the SymPy Development Team, see AUTHORS. :license: BSD, see LICENSE for details. """ def builder_inited(app): if not app.con...
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""" Continuous Random Variables - Prebuilt variables Contains ======== Arcsin Benini Beta BetaNoncentral BetaPrime BoundedPareto Cauchy Chi ChiNoncentral ChiSquared Dagum Erlang ExGaussian Exponential ExponentialPower FDistribution FisherZ Frechet Gamma GammaInverse Gumbel Gompertz Kumaraswamy Laplace Levy Logistic Lo...
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from __future__ import print_function, division from sympy import (Matrix, MatrixSymbol, S, Indexed, Basic, Set, And, Eq, FiniteSet, ImmutableMatrix, Lambda, Mul, Dummy, IndexedBase, Add, linsolve, eye, Or, Not, Intersection, Union, Expr, Func...
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""" SymPy statistics module Introduces a random variable type into the SymPy language. Random variables may be declared using prebuilt functions such as Normal, Exponential, Coin, Die, etc... or built with functions like FiniteRV. Queries on random expressions can be made using the functions ======================...
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"""Tools for arithmetic error propagation.""" from __future__ import print_function, division from itertools import repeat, combinations from sympy import S, Symbol, Add, Mul, simplify, Pow, exp from sympy.stats.symbolic_probability import RandomSymbol, Variance, Covariance _arg0_or_var = lambda var: var.args[0] if ...
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""" Contains ======== Geometric Hermite Logarithmic NegativeBinomial Poisson Skellam YuleSimon Zeta """ from __future__ import print_function, division from sympy import (Basic, factorial, exp, S, sympify, I, zeta, polylog, log, beta, hyper, binomial, Piecewise, floor, besseli, sqrt, Sum, Dummy, ...
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""" Main Random Variables Module Defines abstract random variable type. Contains interfaces for probability space object (PSpace) as well as standard operators, P, E, sample, density, where, quantile See Also ======== sympy.stats.crv sympy.stats.frv sympy.stats.rv_interface """ from __future__ import print_function...
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from __future__ import print_function, division from sympy import (Basic, sympify, symbols, Dummy, Lambda, summation, Piecewise, S, cacheit, Sum, exp, I, Ne, Eq, poly, series, factorial, And) from sympy.polys.polyerrors import PolynomialError from sympy.solvers.solveset import so...
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""" Continuous Random Variables Module See Also ======== sympy.stats.crv_types sympy.stats.rv sympy.stats.frv """ from __future__ import print_function, division from sympy import (Interval, Intersection, symbols, sympify, Dummy, nan, Integral, And, Or, Piecewise, cacheit, integrate, oo, Lambda, Basi...
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import itertools from sympy import Expr, Add, Mul, S, Integral, Eq, Sum, Symbol from sympy.core.compatibility import default_sort_key from sympy.core.parameters import global_parameters from sympy.core.sympify import _sympify from sympy.stats import variance, covariance from sympy.stats.rv import RandomSymbol, probabi...
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""" Finite Discrete Random Variables Module See Also ======== sympy.stats.frv_types sympy.stats.rv sympy.stats.crv """ from __future__ import print_function, division import random from itertools import product from sympy import (Basic, Symbol, cacheit, sympify, Mul, And, Or, Tuple, Piecewise, Eq,...
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#!/usr/bin/env python from random import random from sympy import factor, I, Integer, pi, simplify, sin, sqrt, Symbol, sympify from sympy.abc import x, y, z from timeit import default_timer as clock def bench_R1(): "real(f(f(f(f(f(f(f(f(f(f(i/2)))))))))))" def f(z): return sqrt(Integer(1)/3)*z**2 + I/...
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# conceal the implicit import from the code quality tester from sympy import (exp, gamma, integrate, oo, pi, sqrt, Symbol, symbols, besseli, laplace_transform, fourier_transform, mellin_transform, inverse_fourier_transform, inverse_laplace_transform, inverse_mellin_transform) LT = laplace_trans...
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import sys from time import time from sympy.ntheory.residue_ntheory import (discrete_log, _discrete_log_trial_mul, _discrete_log_shanks_steps, _discrete_log_pollard_rho, _discrete_log_pohlig_hellman) # Cyclic group (Z/pZ)* with p prime, order p - 1 and generator g data_set_1 = [ # p, p - 1, g ...
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''' This implementation is a heavily modified fixed point implementation of BBP_formula for calculating the nth position of pi. The original hosted at: http://en.literateprograms.org/Pi_with_the_BBP_formula_(Python) # Permission is hereby granted, free of charge, to any person obtaining # a copy of this software and a...
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""" Generating and counting primes. """ import random from bisect import bisect from itertools import count # Using arrays for sieving instead of lists greatly reduces # memory consumption from array import array as _array from sympy import Function, S from sympy.core.compatibility import as_int from .primetest impo...
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from sympy.core.compatibility import as_int from sympy.core.function import Function from sympy.utilities.iterables import cartes from sympy.core.numbers import igcd, igcdex, mod_inverse from sympy.core.power import isqrt from sympy.core.singleton import S from .primetest import isprime from .factor_ import factorint, ...
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from collections import defaultdict from sympy.core.compatibility import as_int from sympy.utilities.iterables import multiset, is_palindromic as _palindromic def digits(n, b=10, digits=None): """ Return a list of the digits of ``n`` in base ``b``. The first element in the list is ``b`` (or ``-b`` if ``n...
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from sympy.core.compatibility import as_int, reduce from sympy.core.mul import prod from sympy.core.numbers import igcdex, igcd from sympy.ntheory.primetest import isprime from sympy.polys.domains import ZZ from sympy.polys.galoistools import gf_crt, gf_crt1, gf_crt2 def symmetric_residue(a, m): """Return the res...
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from sympy.core.compatibility import as_int def binomial_coefficients(n): """Return a dictionary containing pairs :math:`{(k1,k2) : C_kn}` where :math:`C_kn` are binomial coefficients and :math:`n=k1+k2`. Examples ======== >>> from sympy.ntheory import binomial_coefficients >>> binomial_coef...
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""" Primality testing """ from sympy.core.compatibility import as_int from mpmath.libmp import bitcount as _bitlength def _int_tuple(*i): return tuple(int(_) for _ in i) def is_euler_pseudoprime(n, b): """Returns True if n is prime or an Euler pseudoprime to base b, else False. Euler Pseudoprime : I...
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from sympy import Integer import sympy.polys import sys if sys.version_info < (3,5): from fractions import gcd else: from math import gcd def egyptian_fraction(r, algorithm="Greedy"): """ Return the list of denominators of an Egyptian fraction expansion [1]_ of the said rational `r`. Paramet...
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""" Integer factorization """ from collections import defaultdict import random import math from sympy.core import sympify from sympy.core.compatibility import as_int, SYMPY_INTS from sympy.core.containers import Dict from sympy.core.evalf import bitcount from sympy.core.expr import Expr from sympy.core.function impo...
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from mpmath.libmp import (fzero, from_int, from_rational, fone, fhalf, bitcount, to_int, to_str, mpf_mul, mpf_div, mpf_sub, mpf_add, mpf_sqrt, mpf_pi, mpf_cosh_sinh, mpf_cos, mpf_sin) from sympy.core.numbers import igcd from .residue_ntheory import (_sqrt_mod_prime_power, legendre_symbol, jacobi_symbol, is_...
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from random import randrange, choice from math import log from sympy.ntheory import primefactors from sympy import multiplicity, factorint, Symbol from sympy.combinatorics import Permutation from sympy.combinatorics.permutations import (_af_commutes_with, _af_invert, _af_rmul, _af_rmuln, _af_pow, Cycle) from sympy...
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from sympy.combinatorics.permutations import Permutation from sympy.core.symbol import symbols from sympy.matrices import Matrix from sympy.utilities.iterables import variations, rotate_left def symmetric(n): """ Generates the symmetric group of order n, Sn. Examples ======== >>> from sympy.comb...
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from sympy.core import Basic import random class GrayCode(Basic): """ A Gray code is essentially a Hamiltonian walk on a n-dimensional cube with edge length of one. The vertices of the cube are represented by vectors whose values are binary. The Hamilton walk visits each vertex exactly once. ...
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from sympy.combinatorics.rewritingsystem_fsm import StateMachine class RewritingSystem: ''' A class implementing rewriting systems for `FpGroup`s. References ========== .. [1] Epstein, D., Holt, D. and Rees, S. (1991). The use of Knuth-Bendix methods to solve the word problem in automat...
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import random from collections import defaultdict from sympy.core.parameters import global_parameters from sympy.core.basic import Atom from sympy.core.expr import Expr from sympy.core.compatibility import \ is_sequence, reduce, as_int, Iterable from sympy.core.numbers import Integer from sympy.core.sympify import...
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from itertools import combinations from sympy.combinatorics.graycode import GrayCode from sympy.core import Basic class Subset(Basic): """ Represents a basic subset object. We generate subsets using essentially two techniques, binary enumeration and lexicographic enumeration. The Subset class ta...
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from sympy.combinatorics.permutations import Permutation, Cycle from sympy.combinatorics.prufer import Prufer from sympy.combinatorics.generators import cyclic, alternating, symmetric, dihedral from sympy.combinatorics.subsets import Subset from sympy.combinatorics.partitions import (Partition, IntegerPartition, RG...
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""" The Schur number S(k) is the largest integer n for which the interval [1,n] can be partitioned into k sum-free sets.(http://mathworld.wolfram.com/SchurNumber.html) """ import math from sympy.core import S from sympy.core.basic import Basic from sympy.core.function import Function from sympy.core.numbers import Inte...
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from sympy.combinatorics.perm_groups import PermutationGroup from sympy.combinatorics.permutations import Permutation from sympy.utilities.iterables import uniq _af_new = Permutation._af_new def DirectProduct(*groups): """ Returns the direct product of several groups as a permutation group. This is impl...
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from typing import Dict, List from sympy.core import S from sympy.core.compatibility import is_sequence, as_int from sympy.core.expr import Expr from sympy.core.symbol import Symbol, symbols as _symbols from sympy.core.sympify import CantSympify from sympy.printing.defaults import DefaultPrinting from sympy.utilities ...
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from sympy.combinatorics.permutations import Permutation, _af_rmul, \ _af_invert, _af_new from sympy.combinatorics.perm_groups import PermutationGroup, _orbit, \ _orbit_transversal from sympy.combinatorics.util import _distribute_gens_by_base, \ _orbits_transversals_from_bsgs """ References for tensor ...
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from sympy import isprime from sympy.combinatorics.perm_groups import PermutationGroup from sympy.printing.defaults import DefaultPrinting from sympy.combinatorics.free_groups import free_group class PolycyclicGroup(DefaultPrinting): is_group = True is_solvable = True def __init__(self, pc_sequence, pc_...
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class State: ''' A representation of a state managed by a ``StateMachine``. Attributes: name (instance of FreeGroupElement or string) -- State name which is also assigned to the Machine. transisitons (OrderedDict) -- Represents all the transitions of the state object. state_type (st...
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from sympy.combinatorics import Permutation as Perm from sympy.combinatorics.perm_groups import PermutationGroup from sympy.core import Basic, Tuple from sympy.core.compatibility import as_int from sympy.sets import FiniteSet from sympy.utilities.iterables import (minlex, unflatten, flatten) rmul = Perm.rmul class P...
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import itertools from sympy.combinatorics.fp_groups import FpGroup, FpSubgroup, simplify_presentation from sympy.combinatorics.free_groups import FreeGroup from sympy.combinatorics.perm_groups import PermutationGroup from sympy.core.numbers import igcd from sympy.ntheory.factor_ import totient from sympy import S clas...
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from sympy.core import Basic, Dict, sympify from sympy.core.compatibility import as_int, default_sort_key from sympy.core.sympify import _sympify from sympy.functions.combinatorial.numbers import bell from sympy.matrices import zeros from sympy.sets.sets import FiniteSet, Union from sympy.utilities.iterables import fla...
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from sympy.combinatorics.permutations import Permutation, _af_invert, _af_rmul from sympy.ntheory import isprime rmul = Permutation.rmul _af_new = Permutation._af_new ############################################ # # Utilities for computational group theory # ############################################ def _base_or...
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from sympy.combinatorics.free_groups import free_group from sympy.printing.defaults import DefaultPrinting from itertools import chain, product from bisect import bisect_left ############################################################################### # COSET TABLE ...
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from sympy.combinatorics.group_constructs import DirectProduct from sympy.combinatorics.perm_groups import PermutationGroup from sympy.combinatorics.permutations import Permutation _af_new = Permutation._af_new def AbelianGroup(*cyclic_orders): """ Returns the direct product of cyclic groups with the given o...
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from sympy.core import Basic from sympy.core.compatibility import iterable, as_int from sympy.utilities.iterables import flatten from collections import defaultdict class Prufer(Basic): """ The Prufer correspondence is an algorithm that describes the bijection between labeled trees and the Prufer code. A...
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"""Finitely Presented Groups and its algorithms. """ from sympy import S from sympy.combinatorics.free_groups import (FreeGroup, FreeGroupElement, free_group) from sympy.combinatorics.rewritingsystem import RewritingSystem from sympy.combinatorics.coset_table import (Cos...
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from sympy.core.mul import Mul from sympy.core.singleton import S from sympy.concrete.expr_with_intlimits import ExprWithIntLimits from sympy.core.exprtools import factor_terms from sympy.functions.elementary.exponential import exp, log from sympy.polys import quo, roots from sympy.simplify import powsimp class Produ...
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from sympy.concrete.expr_with_limits import ExprWithLimits from sympy.core.singleton import S from sympy.core.relational import Eq class ReorderError(NotImplementedError): """ Exception raised when trying to reorder dependent limits. """ def __init__(self, expr, msg): super().__init__( ...
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""" This module implements sums and products containing the Kronecker Delta function. References ========== - http://mathworld.wolfram.com/KroneckerDelta.html """ from sympy.core import Add, Mul, S, Dummy from sympy.core.cache import cacheit from sympy.core.compatibility import default_sort_key from sympy.functions ...
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"""Gosper's algorithm for hypergeometric summation. """ from sympy.core import S, Dummy, symbols from sympy.core.compatibility import is_sequence from sympy.polys import Poly, parallel_poly_from_expr, factor from sympy.solvers import solve from sympy.simplify import hypersimp def gosper_normal(f, g, n, polys=True): ...
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"""Various algorithms for helping identifying numbers and sequences.""" from sympy.utilities import public from sympy.core import Function, Symbol from sympy.core.numbers import Zero from sympy import (sympify, floor, lcm, denom, Integer, Rational, exp, integrate, symbols, Product, product) from sy...
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from sympy.core.add import Add from sympy.core.compatibility import is_sequence from sympy.core.containers import Tuple from sympy.core.expr import Expr from sympy.core.mul import Mul from sympy.core.relational import Equality, Relational from sympy.core.singleton import S from sympy.core.symbol import Symbol, Dummy fr...
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from sympy.calculus.singularities import is_decreasing from sympy.calculus.util import AccumulationBounds from sympy.concrete.expr_with_limits import AddWithLimits from sympy.concrete.expr_with_intlimits import ExprWithIntLimits from sympy.concrete.gosper import gosper_sum from sympy.core.add import Add from sympy.core...
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"""Tools to assist importing optional external modules.""" import sys from distutils.version import LooseVersion # Override these in the module to change the default warning behavior. # For example, you might set both to False before running the tests so that # warnings are not printed to the console, or set both to ...
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""" Limits ====== Implemented according to the PhD thesis http://www.cybertester.com/data/gruntz.pdf, which contains very thorough descriptions of the algorithm including many examples. We summarize here the gist of it. All functions are sorted according to how rapidly varying they are at infinity using the followin...
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"""Limits of sequences""" from __future__ import print_function, division from sympy.core.add import Add from sympy.core.function import PoleError from sympy.core.power import Pow from sympy.core.singleton import S from sympy.core.symbol import Dummy from sympy.core.sympify import sympify from sympy.functions.combina...
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""" Optimizations of the expression tree representation for better CSE opportunities. """ from __future__ import print_function, division from sympy.core import Add, Basic, Mul from sympy.core.basic import preorder_traversal from sympy.core.singleton import S from sympy.utilities.iterables import default_sort_key de...
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from __future__ import print_function, division from collections import defaultdict from sympy import SYMPY_DEBUG from sympy.core import expand_power_base, sympify, Add, S, Mul, Derivative, Pow, symbols, expand_mul from sympy.core.add import _unevaluated_Add from sympy.core.compatibility import iterable, ordered, de...
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r""" This module contains the functionality to arrange the nodes of a diagram on an abstract grid, and then to produce a graphical representation of the grid. The currently supported back-ends are Xy-pic [Xypic]. Layout Algorithm ================ This section provides an overview of the algorithms implemented in :cl...
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from sympy.core import S, Basic, Dict, Symbol, Tuple, sympify from sympy.core.compatibility import iterable from sympy.sets import Set, FiniteSet, EmptySet class Class(Set): r""" The base class for any kind of class in the set-theoretic sense. In axiomatic set theories, everything is a class. A class wh...
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"""Predefined R^n manifolds together with common coord. systems. Coordinate systems are predefined as well as the transformation laws between them. Coordinate functions can be accessed as attributes of the manifold (eg `R2.x`), as attributes of the coordinate systems (eg `R2_r.x` and `R2_p.theta`), or by using the us...
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from typing import Any, Set from itertools import permutations from sympy.combinatorics import Permutation from sympy.core import ( Basic, Expr, Dummy, Function, diff, Pow, Mul, Add, Atom ) from sympy.core.compatibility import reduce from sympy.core.numbers import Zero from sympy.core.sympify import _sympify...
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import math from sympy import Interval from sympy.calculus.singularities import is_increasing, is_decreasing from sympy.codegen.rewriting import Optimization from sympy.core.function import UndefinedFunction """ This module collects classes useful for approimate rewriting of expressions. This can be beneficial when ge...
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""" AST nodes specific to Fortran. The functions defined in this module allows the user to express functions such as ``dsign`` as a SymPy function for symbolic manipulation. """ from sympy.codegen.ast import ( Attribute, CodeBlock, FunctionCall, Node, none, String, Token, _mk_Tuple, Variable ) from sympy.core...
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import bisect import itertools from functools import reduce from collections import defaultdict from sympy import Indexed, IndexedBase, Tuple, Sum, Add, S, Integer, diagonalize_vector, DiagMatrix from sympy.combinatorics import Permutation from sympy.core.basic import Basic from sympy.core.compatibility import accumul...
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from sympy import And, Gt, Lt, Abs, Dummy, oo, Tuple, Symbol from sympy.codegen.ast import ( Assignment, AddAugmentedAssignment, CodeBlock, Declaration, FunctionDefinition, Print, Return, Scope, While, Variable, Pointer, real ) """ This module collects functions for constructing ASTs representing algorithms. "...
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""" Classes and functions useful for rewriting expressions for optimized code generation. Some languages (or standards thereof), e.g. C99, offer specialized math functions for better performance and/or precision. Using the ``optimize`` function in this module, together with a collection of rules (represented as instan...
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""" Types used to represent a full function/module as an Abstract Syntax Tree. Most types are small, and are merely used as tokens in the AST. A tree diagram has been included below to illustrate the relationships between the AST types. AST Type Tree ------------- :: *Basic* |--->AssignmentBase | ...
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""" This module contains SymPy functions mathcin corresponding to special math functions in the C standard library (since C99, also available in C++11). The functions defined in this module allows the user to express functions such as ``expm1`` as a SymPy function for symbolic manipulation. """ from sympy.core.functi...
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""" This file contains some classical ciphers and routines implementing a linear-feedback shift register (LFSR) and the Diffie-Hellman key exchange. .. warning:: This module is intended for educational purposes only. Do not use the functions in this module for real cryptographic applications. If you wish to ...
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"""A module for solving all kinds of equations. Examples ======== >>> from sympy.solvers import solve >>> from sympy.abc import x >>> solve(x**5+5*x**4+10*x**3+10*x**2+5*x+1,x) [-1] """ from sympy.core.assumptions import check_assumptions, failing_assumptions from .solvers import solve, solve...
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""" This module contains functions to: - solve a single equation for a single variable, in any domain either real or complex. - solve a single transcendental equation for a single variable in any domain either real or complex. (currently supports solving in real domain only) - solve a system of lin...
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""" This module contain solvers for all kinds of equations: - algebraic or transcendental, use solve() - recurrence, use rsolve() - differential, use dsolve() - nonlinear (numerically), use nsolve() (you will need a good starting point) """ from __future__ import print_function, division fr...
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""" Discrete Fourier Transform, Number Theoretic Transform, Walsh Hadamard Transform, Mobius Transform """ from sympy.core import S, Symbol, sympify from sympy.core.compatibility import as_int, iterable from sympy.core.function import expand_mul from sympy.core.numbers import pi, I from sympy.functions.elementary.trig...
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""" Convolution (using **FFT**, **NTT**, **FWHT**), Subset Convolution, Covering Product, Intersecting Product """ from sympy.core import S, sympify from sympy.core.compatibility import as_int, iterable from sympy.core.function import expand_mul from sympy.discrete.transforms import ( fft, ifft, ntt, intt, fwht, i...
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""" Recurrences """ from sympy.core import S, sympify from sympy.core.compatibility import as_int, iterable def linrec(coeffs, init, n): r""" Evaluation of univariate linear recurrences of homogeneous type having coefficients independent of the recurrence variable. Parameters ========== coef...
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from sympy.core import Basic class CartanType_generator(Basic): """ Constructor for actually creating things """ def __call__(self, *args): c = args[0] if type(c) == list: letter, n = c[0], int(c[1]) elif type(c) == str: letter, n = c[0], int(c[1:]) ...
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from .cartan_type import Standard_Cartan from sympy.core.backend import eye class TypeB(Standard_Cartan): def __new__(cls, n): if n < 2: raise ValueError("n can not be less than 2") return Standard_Cartan.__new__(cls, "B", n) def dimension(self): """Dimension of the vector...
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from sympy.liealgebras.cartan_type import Standard_Cartan from sympy.core.backend import eye class TypeA(Standard_Cartan): """ This class contains the information about the A series of simple Lie algebras. ==== """ def __new__(cls, n): if n < 1: raise ValueError("n can not...
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""" Singularities ============= This module implements algorithms for finding singularities for a function and identifying types of functions. The differential calculus methods in this module include methods to identify the following function types in the given ``Interval``: - Increasing - Strictly Increasing - Decre...
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from sympy import Order, S, log, limit, lcm_list, im, re, Dummy from sympy.core import Add, Mul, Pow from sympy.core.basic import Basic from sympy.core.compatibility import iterable from sympy.core.expr import AtomicExpr, Expr from sympy.core.function import expand_mul from sympy.core.numbers import _sympifyit, oo from...
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""" 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? --- W...
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"""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. (Curren...
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""" This module adds several functions for interactive source code inspection. """ from sympy.core.decorators import deprecated import inspect @deprecated(useinstead="?? in IPython/Jupyter or inspect.getsource", issue=14905, deprecated_since_version="1.3") def source(object): """ Prints the source code of a ...
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""" This module provides convenient functions to transform sympy expressions to lambda functions which can be used to calculate numerical values very fast. """ from typing import Any, Dict import inspect import keyword import textwrap import linecache from sympy.core.compatibility import (exec_, is_sequence, iterabl...
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""" pkgdata is a simple, extensible way for a package to acquire data file resources. The getResource function is equivalent to the standard idioms, such as the following minimal implementation:: import sys, os def getResource(identifier, pkgname=__name__): pkgpath = os.path.dirname(sys.modules[pkgna...
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""" 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 ...
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""" General SymPy exceptions and warnings. """ import warnings from sympy.utilities.misc import filldedent class SymPyDeprecationWarning(DeprecationWarning): r"""A warning for deprecated features of SymPy. This class is expected to be used with the warnings.warn function (note that one has to explicitl...
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"""Useful utility decorators. """ import sys import types import inspect from sympy.core.decorators import wraps from sympy.core.compatibility import get_function_globals, get_function_name, iterable from sympy.testing.runtests import DependencyError, SymPyDocTests, PyTestReporter def threaded_factory(func, use_add)...
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from sympy.core.decorators import wraps def recurrence_memo(initial): """ Memo decorator for sequences defined by recurrence See usage examples e.g. in the specfun/combinatorial module """ cache = initial def decorator(f): @wraps(f) def g(n): L = len(cache) ...
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"""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 = t...
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"""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 fi...
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from collections import defaultdict, OrderedDict from itertools import ( combinations, combinations_with_replacement, permutations, product, product as cartes ) import random from operator import gt from sympy.core import Basic # this is the logical location of these functions from sympy.core.compatibility im...
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"""Miscellaneous stuff that doesn't really fit anywhere else.""" from typing import List import sys import os import re as _re import struct from textwrap import fill, dedent from sympy.core.compatibility import get_function_name, as_int class Undecidable(ValueError): # an error to be raised when a decision can...
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""" Python code printers This module contains python code printers for plain python as well as NumPy & SciPy enabled code. """ from collections import defaultdict from itertools import chain from sympy.core import S from .precedence import precedence from .codeprinter import CodePrinter _kw_py2and3 = { 'and', 'as...