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from sympy import symbols from sympy.tensor.array.expressions.array_expressions import ZeroArray from sympy.testing.pytest import raises def test_zero_array(): assert ZeroArray() == 0 assert ZeroArray().is_Integer za = ZeroArray(3, 2, 4) assert za.shape == (3, 2, 4) za_e = za.as_explicit() as...
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from sympy import MatrixSymbol, symbols, Identity from sympy.codegen.array_utils import CodegenArrayTensorProduct, CodegenArrayPermuteDims from sympy.tensor.array.expressions.arrayexpr_derivatives import array_derive k = symbols("k") I = Identity(k) X = MatrixSymbol("X", k, k) x = MatrixSymbol("x", k, 1) A = MatrixS...
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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.mis...
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from sympy import Rational, I, expand_mul, S, simplify, sqrt from sympy.matrices.matrices import NonSquareMatrixError from sympy.matrices import Matrix, zeros, eye, SparseMatrix from sympy.abc import x, y, z from sympy.testing.pytest import raises from sympy.testing.matrices import allclose def test_LUdecomp(): t...
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from sympy.matrices.expressions import MatrixExpr from sympy 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,...
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from sympy.core.expr import unchanged from sympy.sets import (ConditionSet, Intersection, FiniteSet, EmptySet, Union, Contains, ImageSet) from sympy import (Symbol, Eq, Ne, S, Abs, sin, asin, pi, Interval, And, Mod, oo, Function, Lambda, symbols, Matrix, MatrixSymbol) from sympy.testing.pytest import raises, wa...
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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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#!/usr/bin/env python """ Run tests for specific packages that use optional dependencies. The optional dependencies need to be installed before running this. """ # Add the local sympy to sys.path (needed for CI) from get_sympy import path_hack path_hack() class TestsFailedError(Exception): pass print('Testing...
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#!/usr/bin/env python """ Update the ask_generated.py file This must be run each time known_facts is changed Should be run from sympy root directory $ python bin/ask_update.py """ # hook in-tree SymPy into Python path, if possible import os import sys isympy_path = os.path.abspath(__file__) isympy_dir = os.path.d...
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""" SymPy is a Python library for symbolic mathematics. It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible. SymPy is written entirely in Python. It depends on mpmath, and other external libraries may be option...
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import sys sys._running_pytest = True # type: ignore from distutils.version import LooseVersion as V import pytest from sympy.core.cache import clear_cache import re sp = re.compile(r'([0-9]+)/([1-9][0-9]*)') def process_split(config, items): split = config.getoption("--split") if not split: return ...
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__version__ = "1.9.dev"
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""" This module exports all latin and greek letters as Symbols, so you can conveniently do >>> from sympy.abc import x, y instead of the slightly more clunky-looking >>> from sympy import symbols >>> x, y = symbols('x y') Caveats ======= 1. As of the time of writing this, the names ``O``, ``S``, ``I``,...
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# # 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 pickleable (module imports are...
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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 LogCauchy L...
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from __future__ import print_function, division import random import itertools from typing import Sequence as tSequence, Union as tUnion, List as tList, Tuple as tTuple from sympy import (Matrix, MatrixSymbol, S, Indexed, Basic, Tuple, Range, Set, And, Eq, FiniteSet, ImmutableMatrix, Integer, igcd,...
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from sympy import S, Basic, exp, multigamma, pi from sympy.core.sympify import sympify, _sympify from sympy.matrices import (ImmutableMatrix, Inverse, Trace, Determinant, MatrixSymbol, MatrixBase, Transpose, MatrixSet, matrix2numpy) from sympy.stats.rv import (_va...
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import itertools from sympy import (MatrixExpr, Expr, ShapeError, ZeroMatrix, Add, Mul, MatMul, S, expand as _expand) from sympy.stats.rv import RandomSymbol, is_random from sympy.core.sympify import _sympify from sympy.stats.symbolic_probability import Variance, Covariance, Expectation class Exp...
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""" Contains ======== FlorySchulz Geometric Hermite Logarithmic NegativeBinomial Poisson Skellam YuleSimon Zeta """ from sympy import (Basic, factorial, exp, S, sympify, I, zeta, polylog, log, beta, hyper, binomial, Piecewise, floor, besseli, sqrt, Sum, Dummy, Lambda, Eq) from ...
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from sympy.sets import FiniteSet from sympy import (sqrt, log, exp, FallingFactorial, Rational, Eq, Dummy, piecewise_fold, solveset, Integral) from .rv import (probability, expectation, density, where, given, pspace, cdf, PSpace, characteristic_function, sample, sample_iter, random_symb...
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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 functools import singledispatch...
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from sympy import (Basic, sympify, symbols, Dummy, Lambda, summation, Piecewise, S, cacheit, Sum, exp, I, Ne, Eq, poly, series, factorial, And, floor) from sympy.polys.polyerrors import PolynomialError from sympy.stats.crv import reduce_rational_inequalities_wrap from sympy.stats....
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""" Continuous Random Variables Module See Also ======== sympy.stats.crv_types sympy.stats.rv sympy.stats.frv """ from sympy import (Interval, Intersection, symbols, sympify, Dummy, nan, Integral, And, Or, Piecewise, cacheit, integrate, oo, Lambda, Basic, S, exp, I, FiniteSet, Ne, Eq, Union, poly, se...
19d062d085a7d3a14680898fd7d5a21e8c052bf9372e7dfa01af1bbec59ca5cf
from sympy import (Basic, exp, pi, Lambda, Trace, S, MatrixSymbol, Integral, gamma, Product, Dummy, Sum, Abs, IndexedBase, I) from sympy.core.sympify import _sympify from sympy.stats.rv import _symbol_converter, Density, RandomMatrixSymbol, is_random from sympy.stats.joint_rv_types import JointDistri...
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from sympy import Basic from sympy.stats.joint_rv import ProductPSpace from sympy.stats.rv import ProductDomain, _symbol_converter, Distribution class StochasticPSpace(ProductPSpace): """ Represents probability space of stochastic processes and their random variables. Contains mechanics to do computat...
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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.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 from sympy.co...
0a0b2808d6cee6671199b3cbc488e7901159a088c48d60985476e3d985d0e39b
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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""" PythonMPQ: Rational number type based on Python integers. This class is intended as a pure Python fallback for when gmpy2 is not installed. If gmpy2 is installed then its mpq type will be used instead. The mpq type is around 20x faster. We could just use the stdlib Fraction class here but that is slower: from...
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import os import mpmath.libmp as mlib from sympy.external import import_module __all__ = [ # GROUND_TYPES is either 'gmpy' or 'python' depending on which is used. If # gmpy is installed then it will be used unless the environment variable # SYMPY_GROUND_TYPES is set to something other than 'auto', 'gmpy'...
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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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from collections import defaultdict from sympy.core import (Basic, S, Add, Mul, Pow, Symbol, sympify, expand_func, Function, Dummy, Expr, factor_terms, expand_power_exp, Eq) from sympy.core.compatibility import iterable, ordered, as_int from sympy.core.parameters import ...
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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, default_sort_key from sympy.core.parameters import ...
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from collections import defaultdict from functools import reduce from sympy.core import (sympify, Basic, S, Expr, expand_mul, factor_terms, Mul, Dummy, igcd, FunctionClass, Add, symbols, Wild, expand) from sympy.core.cache import cacheit from sympy.core.compatibility import iterable, SYMPY_INTS from sympy.core.fun...
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from collections import defaultdict from sympy.core.add import Add from sympy.core.basic import S from sympy.core.compatibility import ordered from sympy.core.expr import Expr from sympy.core.exprtools import Factors, gcd_terms, factor_terms from sympy.core.function import expand_mul from sympy.core.mul import Mul fro...
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from sympy.core import S, Basic, Dict, Symbol, Tuple, sympify from sympy.core.compatibility import iterable from sympy.core.symbol import Str from sympy.sets import Set, FiniteSet, EmptySet class Class(Set): r""" The base class for any kind of class in the set-theoretic sense. Explanation ===========...
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from sympy.tensor.array.expressions.array_expressions import ArrayTensorProduct, ArrayContraction, ArrayAdd, \ ArrayDiagonal from sympy.tensor.array.expressions.conv_array_to_matrix import convert_array_to_matrix from sympy.tensor.array.expressions.conv_indexed_to_array import convert_indexed_to_array from sympy.te...
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""" Additional AST nodes for operations on matrices. The nodes in this module are meant to represent optimization of matrix expressions within codegen's target languages that cannot be represented by SymPy expressions. As an example, we can use :meth:`sympy.codegen.rewriting.optimize` and the ``matin_opt`` optimizatio...
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""" The contents of this file are the return value of ``sympy.assumptions.ask.compute_known_facts``. Do NOT manually edit this file. Instead, run ./bin/ask_update.py. """ from sympy.core.cache import cacheit from sympy.assumptions.cnf import Literal from sympy.assumptions.ask import Q @cacheit def get_all_known_fact...
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from typing import Dict, Callable from sympy.core import S, Add, Expr, Basic, Mul from sympy.logic.boolalg import Boolean from sympy.assumptions import ask, Q # type: ignore def refine(expr, assumptions=True): """ Simplify an expression using assumptions. Explanation =========== Unlike :func:...
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""" A module to implement logical predicates and assumption system. """ from .assume import ( AppliedPredicate, Predicate, AssumptionsContext, assuming, global_assumptions ) from .ask import Q, ask, register_handler, remove_handler from .refine import refine from .relation import BinaryRelation, AppliedBinaryR...
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""" Functions and wrapper object to call assumption property and predicate query with same syntax. In SymPy, there are two assumption systems. Old assumption system is defined in sympy/core/assumptions, and it can be accessed by attribute such as ``x.is_even``. New assumption system is definded in sympy/assumptions, a...
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"""Module for querying SymPy objects about assumptions.""" from sympy.assumptions.assume import (global_assumptions, Predicate, AppliedPredicate) from sympy.assumptions.cnf import CNF, EncodedCNF, Literal from sympy.core import sympify from sympy.core.kind import BooleanKind from sympy.core.relational import E...
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""" Module to evaluate the proposition with assumptions using SAT algorithm. """ from sympy import Symbol, S from sympy.assumptions.ask_generated import get_all_known_facts from sympy.assumptions.assume import global_assumptions, AppliedPredicate from sympy.assumptions.sathandlers import class_fact_registry from sympy...
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""" Known facts in assumptions module. This module defines the facts in ``get_known_facts()``, and supports functions to generate the contents in ``sympy.assumptions.ask_generated`` file. """ from sympy.core.cache import cacheit from sympy.assumptions import Q from sympy.assumptions.cnf import CNF from sympy.logic.bo...
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"""A module which implements predicates and assumption context.""" from contextlib import contextmanager import inspect from sympy.core.assumptions import ManagedProperties from sympy.core.symbol import Str from sympy.core.sympify import _sympify from sympy.logic.boolalg import Boolean, false, true from sympy.multiple...
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""" The classes used here are for the internal use of assumptions system only and should not be used anywhere else as these don't possess the signatures common to SymPy objects. For general use of logic constructs please refer to sympy.logic classes And, Or, Not, etc. """ from itertools import combinations, product fro...
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from collections import defaultdict from sympy.assumptions.ask import Q from sympy.core import (Add, Mul, Pow, Number, NumberSymbol, Symbol) from sympy.core.numbers import ImaginaryUnit from sympy.functions.elementary.complexes import Abs from sympy.logic.boolalg import (Equivalent, And, Or, Implies) from sympy.matric...
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"""A functions module, includes all the standard functions. Combinatorial - factorial, fibonacci, harmonic, bernoulli... Elementary - hyperbolic, trigonometric, exponential, floor and ceiling, sqrt... Special - gamma, zeta,spherical harmonics... """ from sympy.functions.combinatorial.factorials import (factorial, fac...
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from sympy.core.add import Add from sympy.core.compatibility import ordered from sympy.core.function import expand_log from sympy.core.power import Pow from sympy.core.singleton import S from sympy.core.symbol import Dummy from sympy.functions.elementary.exponential import (LambertW, exp, log) from sympy.functions.elem...
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from sympy.core import (Function, Pow, sympify, Expr) from sympy.core.relational import Relational from sympy.polys import Poly, decompose from sympy.utilities.misc import func_name def decompogen(f, symbol): """ Computes General functional decomposition of ``f``. Given an expression ``f``, returns a list...
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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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"""Tools for solving inequalities and systems of inequalities. """ from sympy.core import Symbol, Dummy, sympify from sympy.core.compatibility import iterable from sympy.core.exprtools import factor_terms from sympy.core.relational import Relational, Eq, Ge, Lt from sympy.sets import Interval from sympy.sets.sets impo...
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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 sympy import divisors, binomial, expand_func f...
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from sympy import Order, S, log, limit, lcm_list, im, re, Dummy, Piecewise 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 _sympify...
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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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""" 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, Iterable import builtins import inspect import keyword import textwrap import linecache from sympy.utilities.exceptions import ...
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from sympy.core import S from .pycode import PythonCodePrinter, _known_functions_math, _print_known_const, _print_known_func, _unpack_integral_limits from .codeprinter import CodePrinter _not_in_numpy = 'erf erfc factorial gamma loggamma'.split() _in_numpy = [(k, v) for k, v in _known_functions_math.items() if k not ...
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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...
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""" A Printer for generating readable representation of most sympy classes. """ from typing import Any, Dict from sympy.core import S, Rational, Pow, Basic, Mul, Number from sympy.core.mul import _keep_coeff from .printer import Printer, print_function from sympy.printing.precedence import precedence, PRECEDENCE fro...
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""" A few practical conventions common to all printers. """ import re from collections.abc import Iterable from sympy import Derivative _name_with_digits_p = re.compile(r'^([^\W\d_]+)(\d+)$', re.U) def split_super_sub(text): """Split a symbol name into a name, superscripts and subscripts The first part of...
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""" A Printer which converts an expression into its LaTeX equivalent. """ from typing import Any, Dict import itertools from sympy.core import Add, Float, Mod, Mul, Number, S, Symbol from sympy.core.alphabets import greeks from sympy.core.containers import Tuple from sympy.core.function import _coeff_isneg, AppliedU...
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from .pycode import ( PythonCodePrinter, MpmathPrinter, # MpmathPrinter is imported for backward compatibility ) from .numpy import NumPyPrinter # NumPyPrinter is imported for backward compatibility from sympy.utilities import default_sort_key __all__ = [ 'PythonCodePrinter', 'MpmathPrinter', 'N...
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from typing import Any, Dict from sympy.core.compatibility import is_sequence from sympy.external import import_module from sympy.printing.printer import Printer import sympy from functools import partial aesara = import_module('aesara') if aesara: aes = aesara.scalar aet = aesara.tensor from aesara.ten...
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from distutils.version import LooseVersion as V from collections.abc import Iterable from sympy import Mul, S from sympy.codegen.cfunctions import Sqrt from sympy.external import import_module from sympy.printing.precedence import PRECEDENCE from sympy.printing.pycode import AbstractPythonCodePrinter import sympy ten...
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from typing import Any, Dict from sympy.core.compatibility import is_sequence from sympy.external import import_module from sympy.printing.printer import Printer import sympy from functools import partial from sympy.utilities.decorator import doctest_depends_on from sympy.utilities.exceptions import SymPyDeprecationW...
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""" Integral Transforms """ from functools import reduce from sympy.core import S from sympy.core.compatibility import iterable, ordered from sympy.core.function import Function from sympy.core.relational import _canonical, Ge, Gt from sympy.core.numbers import oo from sympy.core.symbol import Dummy from sympy.integra...
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from typing import Dict, List from itertools import permutations from functools import reduce from sympy.core.add import Add from sympy.core.basic import Basic from sympy.core.mul import Mul from sympy.core.symbol import Wild, Dummy from sympy.core.basic import sympify from sympy.core.numbers import Rational, pi, I f...
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"""Base class for all the objects in SymPy""" from collections import defaultdict from collections.abc import Mapping from itertools import chain, zip_longest from .assumptions import BasicMeta, ManagedProperties from .cache import cacheit from .sympify import _sympify, sympify, SympifyError from .compatibility import...
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from typing import Callable from math import log as _log from .sympify import _sympify from .cache import cacheit from .singleton import S from .expr import Expr from .evalf import PrecisionExhausted from .function import (_coeff_isneg, expand_complex, expand_multinomial, expand_mul, _mexpand) from .logic import f...
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"""Singleton mechanism""" from .core import Registry from .assumptions import ManagedProperties from .sympify import sympify class SingletonRegistry(Registry): """ The registry for the singleton classes (accessible as ``S``). Explanation =========== This class serves as two separate things. ...
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""" There are three types of functions implemented in SymPy: 1) defined functions (in the sense that they can be evaluated) like exp or sin; they have a name and a body: f = exp 2) undefined function which have a name but no body. Undefined functions can be defined using a Function cla...
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from typing import Tuple as tTuple from collections.abc import Iterable from functools import reduce from .sympify import sympify, _sympify, SympifyError from .basic import Basic, Atom from .singleton import S from .evalf import EvalfMixin, pure_complex from .decorators import call_highest_priority, sympify_method_arg...
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from typing import Dict, Union, Type from sympy.utilities.exceptions import SymPyDeprecationWarning from .basic import S, Atom from .compatibility import ordered from .basic import Basic from .evalf import EvalfMixin from .function import AppliedUndef from .sympify import _sympify, SympifyError from .parameters import...
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import numbers import decimal import fractions import math import re as regex import sys from .containers import Tuple from .sympify import (SympifyError, converter, sympify, _convert_numpy_types, _sympify, _is_numpy_instance) from .singleton import S, Singleton from .expr import Expr, AtomicExpr...
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from operator import attrgetter from typing import Tuple, Type from collections import defaultdict from sympy.utilities.exceptions import SymPyDeprecationWarning from sympy.core.sympify import _sympify as _sympify_, sympify from sympy.core.basic import Basic from sympy.core.cache import cacheit from sympy.core.compat...
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from sympy.core.assumptions import StdFactKB, _assume_defined from sympy.core.compatibility import is_sequence, ordered from .basic import Basic, Atom from .sympify import sympify from .singleton import S from .expr import Expr, AtomicExpr from .cache import cacheit from .function import FunctionClass from .kind import...
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""" Reimplementations of constructs introduced in later versions of Python than we support. Also some functions that are needed SymPy-wide and are located here for easy import. """ import operator from collections import defaultdict from time import perf_counter as clock from sympy.external.gmpy import SYMPY_INTS, HA...
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"""sympify -- convert objects SymPy internal format""" import typing if typing.TYPE_CHECKING: from typing import Any, Callable, Dict, Type from inspect import getmro from .compatibility import iterable from .parameters import global_parameters class SympifyError(ValueError): def __init__(self, expr, base_e...
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""" Adaptive numerical evaluation of SymPy expressions, using mpmath for mathematical functions. """ from typing import Tuple import math import mpmath.libmp as libmp from mpmath import ( make_mpc, make_mpf, mp, mpc, mpf, nsum, quadts, quadosc, workprec) from mpmath import inf as mpmath_inf from mpmath.libmp imp...
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from collections import defaultdict from functools import cmp_to_key, reduce import operator from .sympify import sympify from .basic import Basic from .singleton import S from .operations import AssocOp, AssocOpDispatcher from .cache import cacheit from .logic import fuzzy_not, _fuzzy_group from .expr import Expr fro...
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"""Tools for setting up interactive sessions. """ from distutils.version import LooseVersion as V from sympy.interactive.printing import init_printing preexec_source = """\ from __future__ import division from sympy import * x, y, z, t = symbols('x y z t') k, m, n = symbols('k m n', integer=True) f, g, h = symbols('...
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"""OO layer for several polynomial representations. """ from sympy import oo from sympy.core.sympify import CantSympify from sympy.polys.polyerrors import CoercionFailed, NotReversible, NotInvertible from sympy.polys.polyutils import PicklableWithSlots class GenericPoly(PicklableWithSlots): """Base class for lo...
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"""User-friendly public interface to polynomial functions. """ from functools import wraps, reduce from operator import mul from sympy.core import ( S, Basic, Expr, I, Integer, Add, Mul, Dummy, Tuple ) from sympy.core.basic import preorder_traversal from sympy.core.compatibility import iterable, ordered from sym...
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"""Algorithms for computing symbolic roots of polynomials. """ import math from functools import reduce from sympy.core import S, I, pi from sympy.core.compatibility import ordered from sympy.core.exprtools import factor_terms from sympy.core.function import _mexpand from sympy.core.logic import fuzzy_not from sympy...
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"""Sparse polynomial rings. """ from typing import Any, Dict from operator import add, mul, lt, le, gt, ge from functools import reduce from types import GeneratorType from sympy.core.compatibility import is_sequence from sympy.core.expr import Expr from sympy.core.numbers import igcd, oo from sympy.core.symbol imp...
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"""Tools and arithmetics for monomials of distributed polynomials. """ from itertools import combinations_with_replacement, product from textwrap import dedent from sympy.core import Mul, S, Tuple, sympify from sympy.core.compatibility import iterable from sympy.polys.polyerrors import ExactQuotientFailed from sympy...
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"""Sparse rational function fields. """ from typing import Any, Dict from functools import reduce from operator import add, mul, lt, le, gt, ge from sympy.core.compatibility import is_sequence from sympy.core.expr import Expr from sympy.core.mod import Mod from sympy.core.numbers import Exp1 from sympy.core.singlet...
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"""Low-level linear systems solver. """ from sympy.utilities.iterables import connected_components from sympy.matrices import MutableDenseMatrix from sympy.polys.domains import EX from sympy.polys.rings import sring from sympy.polys.polyerrors import NotInvertible from sympy.polys.domainmatrix import DomainMatrix ...
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"""Real and complex root isolation and refinement algorithms. """ from sympy.polys.densearith import ( dup_neg, dup_rshift, dup_rem) from sympy.polys.densebasic import ( dup_LC, dup_TC, dup_degree, dup_strip, dup_reverse, dup_convert, dup_terms_gcd) from sympy.polys.densetools import ( dup_cle...
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"""Useful utilities for higher level polynomial classes. """ from sympy.core import (S, Add, Mul, Pow, Eq, Expr, expand_mul, expand_multinomial) from sympy.core.exprtools import decompose_power, decompose_power_rat from sympy.polys.polyerrors import PolynomialError, GeneratorsError from sympy.polys.polyoptions im...
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"""Euclidean algorithms, GCDs, LCMs and polynomial remainder sequences. """ from sympy.ntheory import nextprime from sympy.polys.densearith import ( dup_sub_mul, dup_neg, dmp_neg, dmp_add, dmp_sub, dup_mul, dmp_mul, dmp_pow, dup_div, dmp_div, dup_rem, dup_quo, dmp_quo, dup_prem...
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"""Tools for constructing domains for expressions. """ from sympy.core import sympify from sympy.core.compatibility import ordered from sympy.core.evalf import pure_complex from sympy.polys.domains import ZZ, QQ, ZZ_I, QQ_I, EX from sympy.polys.domains.complexfield import ComplexField from sympy.polys.domains.realfie...
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import re import fnmatch # XXX Python 2 unicode import test. # May remove after deprecating python 2.7. message_unicode_A = \ "File contains a unicode character : %s, line %s. " \ "But with no encoding header. " \ "See https://www.python.org/dev/peps/pep-0263/ " \ "and add '# coding=utf-8'" message_un...
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""" This is our testing framework. Goals: * it should be compatible with py.test and operate very similarly (or identically) * doesn't require any external dependencies * preferably all the functionality should be in this file only * no magic, just import the test file and execute the test functions, that's it * po...
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from sympy import S, simplify from sympy.core import Basic, diff from sympy.matrices import Matrix from sympy.vector import (CoordSys3D, Vector, ParametricRegion, parametric_region_list, ImplicitRegion) from sympy.vector.operators import _get_coord_sys_from_expr from sympy.integrals import Integ...
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from functools import singledispatch from sympy import pi, 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 ...
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"""Elliptical geometrical entities. Contains * Ellipse * Circle """ from sympy import Expr, Eq from sympy.core import S, pi, sympify from sympy.core.parameters import global_parameters from sympy.core.logic import fuzzy_bool from sympy.core.numbers import Rational, oo from sympy.core.compatibility import ordered fro...
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"""Transform a string with Python-like source code into SymPy expression. """ from tokenize import (generate_tokens, untokenize, TokenError, NUMBER, STRING, NAME, OP, ENDMARKER, ERRORTOKEN, NEWLINE) from keyword import iskeyword import ast import unicodedata from io import StringIO from sympy.assumptions.ask im...
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""" This module implements Pauli algebra by subclassing Symbol. Only algebraic properties of Pauli matrices are used (we don't use the Matrix class). See the documentation to the class Pauli for examples. References ========== .. [1] https://en.wikipedia.org/wiki/Pauli_matrices """ from sympy import Symbol, I, Mul,...