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"""Useful utility decorators. """ import sys import types import inspect from functools import wraps, update_wrapper from sympy.testing.runtests import DependencyError, SymPyDocTests, PyTestReporter from sympy.utilities.exceptions import SymPyDeprecationWarning def threaded_factory(func, use_add): """A factory f...
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""" The objects in this module allow the usage of the MatchPy pattern matching library on SymPy expressions. """ import re from typing import List, Callable 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, upper...
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from functools 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) if n <...
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from collections import defaultdict, OrderedDict from itertools import ( combinations, combinations_with_replacement, permutations, product ) # For backwards compatibility from itertools import product as cartes # noqa: F401 from operator import gt # this is the logical location of these functions # from sym...
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"""Miscellaneous stuff that doesn't really fit anywhere else.""" from typing import List 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 definiti...
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"""A module providing information about the necessity of brackets""" # Default precedence values for some basic types PRECEDENCE = { "Lambda": 1, "Xor": 10, "Or": 20, "And": 30, "Relational": 35, "Add": 40, "Mul": 50, "Pow": 60, "Func": 70, "Not": 100, "Atom": 1000, "Bi...
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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 as tDict from sympy.core import S, Rational, Pow, Basic, Mul, Number from sympy.core.mul import _keep_coeff from sympy.core.relational import Relational from sympy.core.sorting import default_sort_key from sym...
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""" Rust code printer The `RustCodePrinter` converts SymPy expressions into Rust expressions. A complete code generator, which uses `rust_code` extensively, can be found in `sympy.utilities.codegen`. The `codegen` module can be used to generate complete source code files. """ # Possible Improvement # # * make sure ...
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""" C++ code printer """ from itertools import chain from sympy.codegen.ast import Type, none from .c import C89CodePrinter, C99CodePrinter # These are defined in the other file so we can avoid importing sympy.codegen # from the top-level 'import sympy'. Export them here as well. from sympy.printing.codeprinter impor...
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''' Use llvmlite to create executable functions from SymPy expressions This module requires llvmlite (https://github.com/numba/llvmlite). ''' import ctypes from sympy.external import import_module from sympy.printing.printer import Printer from sympy.core.singleton import S from sympy.tensor.indexed import IndexedBa...
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""" A few practical conventions common to all printers. """ import re from collections.abc import Iterable from sympy.core.function 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...
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""" A Printer which converts an expression into its LaTeX equivalent. """ from typing import Any, Dict as tDict 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 AppliedUndef,...
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"""Printing subsystem driver SymPy's printing system works the following way: Any expression can be passed to a designated Printer who then is responsible to return an adequate representation of that expression. **The basic concept is the following:** 1. Let the object print itself if it knows how. 2. Take the bes...
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from sympy.core.containers import Tuple from sympy.core.singleton import S from sympy.core.symbol import Symbol from sympy.core.sympify import SympifyError from types import FunctionType class TableForm: r""" Create a nice table representation of data. Examples ======== >>> from sympy import Ta...
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""" C code printer The C89CodePrinter & C99CodePrinter converts single SymPy expressions into single C expressions, using the functions defined in math.h where possible. A complete code generator, which uses ccode extensively, can be found in sympy.utilities.codegen. The codegen module can be used to generate complet...
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from .pycode import ( PythonCodePrinter, MpmathPrinter, ) from .numpy import NumPyPrinter # NumPyPrinter is imported for backward compatibility from sympy.core.sorting import default_sort_key __all__ = [ 'PythonCodePrinter', 'MpmathPrinter', # MpmathPrinter is published for backward compatibility ...
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""" Mathematica code printer """ from typing import Any, Dict as tDict, Set as tSet, Tuple as tTuple from sympy.core import Basic, Expr, Float from sympy.core.sorting import default_sort_key from sympy.printing.codeprinter import CodePrinter from sympy.printing.precedence import precedence # Used in MCodePrinter._p...
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""" Fortran code printer The FCodePrinter converts single SymPy expressions into single Fortran expressions, using the functions defined in the Fortran 77 standard where possible. Some useful pointers to Fortran can be found on wikipedia: https://en.wikipedia.org/wiki/Fortran Most of the code below is based on the "...
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""" A MathML printer. """ from typing import Any, Dict as tDict from sympy.core.mul import Mul from sympy.core.singleton import S from sympy.core.sorting import default_sort_key from sympy.core.sympify import sympify from sympy.printing.conventions import split_super_sub, requires_partial from sympy.printing.preceden...
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""" R code printer The RCodePrinter converts single SymPy expressions into single R expressions, using the functions defined in math.h where possible. """ from typing import Any, Dict as tDict from sympy.printing.codeprinter import CodePrinter from sympy.printing.precedence import precedence, PRECEDENCE from symp...
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""" Octave (and Matlab) code printer The `OctaveCodePrinter` converts SymPy expressions into Octave expressions. It uses a subset of the Octave language for Matlab compatibility. A complete code generator, which uses `octave_code` extensively, can be found in `sympy.utilities.codegen`. The `codegen` module can be us...
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from typing import Any, Dict as tDict, Set as tSet, Tuple as tTuple from functools import wraps from sympy.core import Add, Expr, Mul, Pow, S, sympify, Float from sympy.core.basic import Basic from sympy.core.expr import UnevaluatedExpr from sympy.core.function import Lambda from sympy.core.mul import _keep_coeff fro...
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import keyword as kw import sympy from .repr import ReprPrinter from .str import StrPrinter # A list of classes that should be printed using StrPrinter STRPRINT = ("Add", "Infinity", "Integer", "Mul", "NegativeInfinity", "Pow", "Zero") class PythonPrinter(ReprPrinter, StrPrinter): """A printer which ...
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""" Maple code printer The MapleCodePrinter converts single SymPy expressions into single Maple expressions, using the functions defined in the Maple objects where possible. FIXME: This module is still under actively developed. Some functions may be not completed. """ from sympy.core import S from sympy.core.number...
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from typing import Any, Dict as tDict from sympy.external import import_module from sympy.printing.printer import Printer from sympy.utilities.iterables import is_sequence import sympy from functools import partial aesara = import_module('aesara') if aesara: aes = aesara.scalar aet = aesara.tensor from ...
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from sympy.external.importtools import version_tuple from collections.abc import Iterable from sympy.core.mul import Mul from sympy.core.singleton import S from sympy.codegen.cfunctions import Sqrt from sympy.external import import_module from sympy.printing.precedence import PRECEDENCE from sympy.printing.pycode impo...
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""" Javascript code printer The JavascriptCodePrinter converts single SymPy expressions into single Javascript expressions, using the functions defined in the Javascript Math object where possible. """ from typing import Any, Dict as tDict from sympy.core import S from sympy.printing.codeprinter import CodePrinter ...
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""" A Printer for generating executable code. The most important function here is srepr that returns a string so that the relation eval(srepr(expr))=expr holds in an appropriate environment. """ from typing import Any, Dict as tDict from sympy.core.function import AppliedUndef from sympy.core.mul import Mul from mpm...
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""" Julia code printer The `JuliaCodePrinter` converts SymPy expressions into Julia expressions. A complete code generator, which uses `julia_code` extensively, can be found in `sympy.utilities.codegen`. The `codegen` module can be used to generate complete source code files. """ from typing import Any, Dict as tD...
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from typing import Set as tSet from sympy.core import Basic, S from sympy.core.function import Lambda from sympy.printing.codeprinter import CodePrinter from sympy.printing.precedence import precedence from functools import reduce known_functions = { 'Abs': 'abs', 'sin': 'sin', 'cos': 'cos', 'tan': 't...
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from typing import Any, Dict as tDict from sympy.external import import_module from sympy.printing.printer import Printer from sympy.utilities.iterables import is_sequence import sympy from functools import partial from sympy.utilities.decorator import doctest_depends_on from sympy.utilities.exceptions import SymPyDe...
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"""Integration method that emulates by-hand techniques. This module also provides functionality to get the steps used to evaluate a particular integral, in the ``integral_steps`` function. This will return nested namedtuples representing the integration rules used. The ``manualintegrate`` function computes the integra...
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from sympy.functions import SingularityFunction, DiracDelta from sympy.core import sympify from sympy.integrals import integrate def singularityintegrate(f, x): """ This function handles the indefinite integrations of Singularity functions. The ``integrate`` function calls this function internally wheneve...
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""" Integral Transforms """ from functools import reduce, wraps from itertools import repeat from sympy.core import S, pi from sympy.core.add import Add from sympy.core.function import (AppliedUndef, count_ops, expand, expand_complex, expand_mul, Function, Lambda) from sympy.core.mul i...
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"""Integration functions that integrate a SymPy expression. Examples ======== >>> from sympy import integrate, sin >>> from sympy.abc import x >>> integrate(1/x,x) log(x) >>> integrate(sin(x),x) -cos(x) """ from .integrals import integrate, Integral, line_integrate from .transforms imp...
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""" Module to implement integration of uni/bivariate polynomials over 2D Polytopes and uni/bi/trivariate polynomials over 3D Polytopes. Uses evaluation techniques as described in Chin et al. (2015) [1]. References =========== .. [1] Chin, Eric B., Jean B. Lasserre, and N. Sukumar. "Numerical integration of homogene...
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from typing import Tuple as tTuple from sympy.concrete.expr_with_limits import AddWithLimits from sympy.core.add import Add from sympy.core.basic import Basic from sympy.core.containers import Tuple from sympy.core.expr import Expr from sympy.core.exprtools import factor_terms from sympy.core.function import diff from...
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from typing import Dict as tDict, 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...
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""" Algorithms for solving the Risch differential equation. Given a differential field K of characteristic 0 that is a simple monomial extension of a base field k and f, g in K, the Risch Differential Equation problem is to decide if there exist y in K such that Dy + f*y == g and to find one if there are some. If t i...
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""" This module cooks up a docstring when imported. Its only purpose is to be displayed in the sphinx documentation. """ from typing import Any, Dict as tDict, List, Tuple as tTuple, Type from sympy.integrals.meijerint import _create_lookup_table from sympy.core.add import Add from sympy.core.relational import E...
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""" The Risch Algorithm for transcendental function integration. The core algorithms for the Risch algorithm are here. The subproblem algorithms are in the rde.py and prde.py files for the Risch Differential Equation solver and the parametric problems solvers, respectively. All important information concerning the d...
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"""This module implements tools for integrating rational functions. """ from sympy.core.function import Lambda from sympy.core.numbers import I from sympy.core.singleton import S from sympy.core.symbol import (Dummy, Symbol, symbols) from sympy.functions.elementary.exponential import log from sympy.functions.elementar...
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from sympy.core.mul import Mul from sympy.core.singleton import S from sympy.core.sorting import default_sort_key from sympy.functions import DiracDelta, Heaviside from .integrals import Integral, integrate from sympy.solvers import solve def change_mul(node, x): """change_mul(node, x) Rearranges the oper...
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""" Algorithms for solving Parametric Risch Differential Equations. The methods used for solving Parametric Risch Differential Equations parallel those for solving Risch Differential Equations. See the outline in the docstring of rde.py for more information. The Parametric Risch Differential Equation problem is, giv...
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from sympy.core import cacheit, Dummy, Ne, Integer, Rational, S, Wild from sympy.functions import binomial, sin, cos, Piecewise from .integrals import integrate # TODO sin(a*x)*cos(b*x) -> sin((a+b)x) + sin((a-b)x) ? # creating, each time, Wild's and sin/cos/Mul is expensive. Also, our match & # subs are very slow wh...
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""" Integrate functions by rewriting them as Meijer G-functions. There are three user-visible functions that can be used by other parts of the sympy library to solve various integration problems: - meijerint_indefinite - meijerint_definite - meijerint_inversion They can be used to compute, respectively, indefinite i...
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""" SymPy core decorators. The purpose of this module is to expose decorators without any other dependencies, so that they can be easily imported anywhere in sympy/core. """ from functools import wraps from .sympify import SympifyError, sympify def _sympifyit(arg, retval=None): """ decorator to smartly _sym...
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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 typing import Set, Tuple from .assumptions import BasicMeta, ManagedProperties from .cache import cacheit from .sympify import _sympify, sympify, SympifyEr...
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from typing import Callable, Tuple as tTuple from math import log as _log, sqrt as _sqrt from itertools import product from .sympify import _sympify from .cache import cacheit from .singleton import S from .expr import Expr from .evalf import PrecisionExhausted from .function import (expand_complex, expand_multinomial...
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"""Thread-safe global parameters""" from .cache import clear_cache from contextlib import contextmanager from threading import local class _global_parameters(local): """ Thread-local global parameters. Explanation =========== This class generates thread-local container for SymPy's global paramet...
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"""Tools for manipulating of large commutative expressions. """ from .add import Add from .mul import Mul, _keep_coeff from .power import Pow from .basic import Basic from .expr import Expr from .sympify import sympify from .numbers import Rational, Integer, Number, I from .singleton import S from .sorting import defa...
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from collections import defaultdict from .sympify import sympify, SympifyError from sympy.utilities.iterables import iterable, uniq __all__ = ['default_sort_key', 'ordered'] def default_sort_key(item, order=None): """Return a key that can be used for sorting. The key has the structure: (class_key, (l...
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""" The core's core. """ # used for canonical ordering of symbolic sequences # via __cmp__ method: # FIXME this is *so* irrelevant and outdated! ordering_of_classes = [ # singleton numbers 'Zero', 'One', 'Half', 'Infinity', 'NaN', 'NegativeOne', 'NegativeInfinity', # numbers 'Integer', 'Rational', 'Flo...
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""" This module contains the machinery handling assumptions. Do also consider the guide :ref:`assumptions`. All symbolic objects have assumption attributes that can be accessed via ``.is_<assumption name>`` attribute. Assumptions determine certain properties of symbolic objects and can have 3 possible values: ``True`...
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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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"""Core module. Provides the basic operations needed in sympy. """ from .sympify import sympify, SympifyError from .cache import cacheit from .assumptions import assumptions, check_assumptions, failing_assumptions, common_assumptions from .basic import Basic, Atom from .singleton import S from .expr import Expr, Atomi...
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""" Module to efficiently partition SymPy objects. This system is introduced because class of SymPy object does not always represent the mathematical classification of the entity. For example, ``Integral(1, x)`` and ``Integral(Matrix([1,2]), x)`` are both instance of ``Integral`` class. However the former is number an...
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from .basic import Basic from .sorting import ordered from .sympify import sympify from sympy.utilities.iterables import iterable class preorder_traversal: """ Do a pre-order traversal of a tree. This iterator recursively yields nodes that it has visited in a pre-order fashion. That is, it yields th...
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import os USE_SYMENGINE = os.getenv('USE_SYMENGINE', '0') USE_SYMENGINE = USE_SYMENGINE.lower() in ('1', 't', 'true') # type: ignore if USE_SYMENGINE: from symengine import (Symbol, Integer, sympify, S, SympifyError, exp, log, gamma, sqrt, I, E, pi, Matrix, sin, cos, tan, cot, csc, sec, asin, acos...
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from typing import Tuple as tTuple from collections import defaultdict from functools import cmp_to_key, reduce from operator import attrgetter from .basic import Basic from .parameters import global_parameters from .logic import _fuzzy_group, fuzzy_or, fuzzy_not from .singleton import S from .operations import AssocOp...
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""" Provides functionality for multidimensional usage of scalar-functions. Read the vectorize docstring for more details. """ from functools import wraps def apply_on_element(f, args, kwargs, n): """ Returns a structure with the same dimension as the specified argument, where each basic element is repla...
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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, DEFAULT_MAXPREC from .decorators import call_highest_priority, s...
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from typing import Dict as tDict, Union as tUnion, Type from .basic import Atom, Basic from .sorting import ordered from .evalf import EvalfMixin from .function import AppliedUndef from .singleton import S from .sympify import _sympify, SympifyError from .parameters import global_parameters from .logic import fuzzy_bo...
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import numbers import decimal import fractions import math import re as regex import sys from functools import lru_cache from typing import Set as tSet, Tuple as tTuple from .containers import Tuple from .sympify import (SympifyError, converter, sympify, _convert_numpy_types, _sympify, _is_numpy_...
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from operator import attrgetter from typing import Tuple as tTuple, Type from collections import defaultdict from sympy.utilities.exceptions import SymPyDeprecationWarning from .sympify import _sympify as _sympify_, sympify from .basic import Basic from .cache import cacheit from .sorting import ordered from .logic i...
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from .add import Add from .exprtools import gcd_terms from .function import Function from .kind import NumberKind from .logic import fuzzy_and, fuzzy_not from .mul import Mul from .singleton import S class Mod(Function): """Represents a modulo operation on symbolic expressions. Parameters ========== ...
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from .assumptions import StdFactKB, _assume_defined from .basic import Basic, Atom from .cache import cacheit from .containers import Tuple from .expr import Expr, AtomicExpr from .function import AppliedUndef, FunctionClass from .kind import NumberKind, UndefinedKind from .logic import fuzzy_bool from .singleton impor...
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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. """ from .sorting import ordered as _ordered, _nodes as __nodes, default_sort_key as _default_sort_key from sympy.utilities.decorator import ...
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"""sympify -- convert objects SymPy internal format""" import typing if typing.TYPE_CHECKING: from typing import Any, Callable, Dict as tDict, Type from inspect import getmro import string from random import choice from .parameters import global_parameters from sympy.utilities.exceptions import SymPyDeprecation...
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from .expr import Expr from sympy.utilities.decorator import deprecated @deprecated(useinstead="sympy.physics.quantum.trace.Tr", deprecated_since_version="1.10", issue=22330) class Tr(Expr): def __new__(cls, *args): from sympy.physics.quantum.trace import Tr return Tr(*args)
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""" Adaptive numerical evaluation of SymPy expressions, using mpmath for mathematical functions. """ from typing import Tuple as tTuple, Optional, Union as tUnion, Callable, List, Dict as tDict, Type, TYPE_CHECKING, \ Any, overload import math import mpmath.libmp as libmp from mpmath import ( make_mpc, make_...
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r"""This is rule-based deduction system for SymPy The whole thing is split into two parts - rules compilation and preparation of tables - runtime inference For rule-based inference engines, the classical work is RETE algorithm [1], [2] Although we are not implementing it in full (or even significantly) it's still ...
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""" Caching facility for SymPy """ class _cache(list): """ List of cached functions """ def print_cache(self): """print cache info""" for item in self: name = item.__name__ myfunc = item while hasattr(myfunc, '__wrapped__'): if hasattr(myfun...
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"""Module for SymPy containers (SymPy objects that store other SymPy objects) The containers implemented in this module are subclassed to Basic. They are supposed to work seamlessly within the SymPy framework. """ from collections import OrderedDict from collections.abc import MutableSet from .basic imp...
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"""Logic expressions handling NOTE ---- at present this is mainly needed for facts.py, feel free however to improve this stuff for general purpose. """ from typing import Dict as tDict, Type, Union as tUnion # Type of a fuzzy bool FuzzyBool = tUnion[bool, None] def _torf(args): """Return True if all args are...
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from typing import Tuple as tTuple from collections import defaultdict from functools import cmp_to_key, reduce from itertools import product import operator from .sympify import sympify from .basic import Basic from .singleton import S from .operations import AssocOp, AssocOpDispatcher from .cache import cacheit from...
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"""Tools for setting up printing in interactive sessions. """ from sympy.external.importtools import version_tuple from io import BytesIO from sympy.printing.latex import latex as default_latex from sympy.printing.preview import preview from sympy.utilities.misc import debug from sympy.printing.defaults import Printa...
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"""Helper module for setting up interactive SymPy sessions. """ from .printing import init_printing from .session import init_session from .traversal import interactive_traversal __all__ = ['init_printing', 'init_session', 'interactive_traversal']
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"""Tools for setting up interactive sessions. """ from sympy.external.gmpy import GROUND_TYPES from sympy.external.importtools import version_tuple from sympy.interactive.printing import init_printing from sympy.utilities.misc import ARCH preexec_source = """\ from __future__ import division from sympy import * x, ...
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from sympy.core.basic import Basic from sympy.printing import pprint import random def interactive_traversal(expr): """Traverse a tree asking a user which branch to choose. """ RED, BRED = '\033[0;31m', '\033[1;31m' GREEN, BGREEN = '\033[0;32m', '\033[1;32m' YELLOW, BYELLOW = '\033[0;33m', '\033[1;33...
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"""Definitions of monomial orderings. """ from typing import Optional __all__ = ["lex", "grlex", "grevlex", "ilex", "igrlex", "igrevlex"] from sympy.core import Symbol from sympy.utilities.iterables import iterable class MonomialOrder: """Base class for monomial orderings. """ alias = None # type: Option...
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"""Power series evaluation and manipulation using sparse Polynomials Implementing a new function --------------------------- There are a few things to be kept in mind when adding a new function here:: - The implementation should work on all possible input domains/rings. Special cases include the ``EX`` rin...
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"""OO layer for several polynomial representations. """ from sympy.core.numbers 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...
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"""Implementation of RootOf class and related tools. """ from sympy.core.basic import Basic from sympy.core import (S, Expr, Integer, Float, I, oo, Add, Lambda, symbols, sympify, Rational, Dummy) from sympy.core.cache import cacheit from sympy.core.relational import is_le from sympy.core.sorting import ordered fr...
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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, Expr, Add, Tuple ) from sympy.core.basic import Basic from sympy.core.decorators import _sympifyit from sympy.core.exprtools import Factors, factor_nc, factor_te...
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"""Functions for generating interesting polynomials, e.g. for benchmarking. """ from sympy.core import Add, Mul, Symbol, sympify, Dummy, symbols from sympy.core.containers import Tuple from sympy.core.singleton import S from sympy.functions.elementary.miscellaneous import sqrt from sympy.ntheory import nextprime from...
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"""Implementation of matrix FGLM Groebner basis conversion algorithm. """ from sympy.polys.monomials import monomial_mul, monomial_div def matrix_fglm(F, ring, O_to): """ Converts the reduced Groebner basis ``F`` of a zero-dimensional ideal w.r.t. ``O_from`` to a reduced Groebner basis w.r.t. ``O_to`...
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"""Basic tools for dense recursive polynomials in ``K[x]`` or ``K[X]``. """ from sympy.core.numbers import oo from sympy.core import igcd from sympy.polys.monomials import monomial_min, monomial_div from sympy.polys.orderings import monomial_key import random def poly_LC(f, K): """ Return leading coefficien...
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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.exprtools import factor_terms from sympy.core.function import _mexpand from sympy.core.logic import fuzzy_not from sympy.core.mul import expand_2arg, Mul from sympy....
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"""Arithmetics for dense recursive polynomials in ``K[x]`` or ``K[X]``. """ from sympy.polys.densebasic import ( dup_slice, dup_LC, dmp_LC, dup_degree, dmp_degree, dup_strip, dmp_strip, dmp_zero_p, dmp_zero, dmp_one_p, dmp_one, dmp_ground, dmp_zeros) from sympy.polys.polyerrors import (Exa...
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"""Dense univariate polynomials with coefficients in Galois fields. """ from random import uniform from math import ceil as _ceil, sqrt as _sqrt from sympy.core.mul import prod from sympy.external.gmpy import SYMPY_INTS from sympy.ntheory import factorint from sympy.polys.polyconfig import query from sympy.polys.pol...
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""" This module contains functions for the computation of Euclidean, (generalized) Sturmian, (modified) subresultant polynomial remainder sequences (prs's) of two polynomials; included are also three functions for the computation of the resultant of two polynomials. Except for the function res_z(), which computes the ...
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"""Sparse polynomial rings. """ from typing import Any, Dict as tDict from operator import add, mul, lt, le, gt, ge from functools import reduce from types import GeneratorType from sympy.core.expr import Expr from sympy.core.numbers import igcd, oo from sympy.core.symbol import Symbol, symbols as _symbols from sym...
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"""Options manager for :class:`~.Poly` and public API functions. """ __all__ = ["Options"] from typing import Dict as tDict, Type from typing import List, Optional from sympy.core import Basic, sympify from sympy.polys.polyerrors import GeneratorsError, OptionError, FlagError from sympy.utilities import numbered_sy...
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"""Groebner bases algorithms. """ from sympy.core.symbol import Dummy from sympy.polys.monomials import monomial_mul, monomial_lcm, monomial_divides, term_div from sympy.polys.orderings import lex from sympy.polys.polyerrors import DomainError from sympy.polys.polyconfig import query def groebner(seq, ring, method=N...
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"""Definitions of common exceptions for `polys` module. """ from sympy.utilities import public @public class BasePolynomialError(Exception): """Base class for polynomial related exceptions. """ def new(self, *args): raise NotImplementedError("abstract base class") @public class ExactQuotientFailed(...
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from sympy.core.symbol import Dummy from sympy.ntheory import nextprime from sympy.ntheory.modular import crt from sympy.polys.domains import PolynomialRing from sympy.polys.galoistools import ( gf_gcd, gf_from_dict, gf_gcdex, gf_div, gf_lcm) from sympy.polys.polyerrors import ModularGCDFailed from mpmath import s...
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"""High-level polynomials manipulation functions. """ from sympy.core import S, Basic, Add, Mul, symbols, Dummy from sympy.polys.polyerrors import ( PolificationFailed, ComputationFailed, MultivariatePolynomialError, OptionError) from sympy.polys.polyoptions import allowed_flags from sympy.polys.polytools imp...