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from sympy.core.add import Add from sympy.core.containers import Tuple from sympy.core.expr import Expr from sympy.core.function import AppliedUndef, UndefinedFunction from sympy.core.mul import Mul from sympy.core.relational import Equality, Relational from sympy.core.singleton import S from sympy.core.symbol import S...
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from typing import Tuple as tTuple from sympy.calculus.singularities import is_decreasing from sympy.calculus.accumulationbounds import AccumulationBounds from .expr_with_intlimits import ExprWithIntLimits from .expr_with_limits import AddWithLimits from .gosper import gosper_sum from sympy.core.expr import Expr from ...
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from sympy.core.singleton import S from sympy.core.symbol import Symbol from sympy.polys.polytools import lcm from sympy.utilities import public @public def approximants(l, X=Symbol('x'), simplify=False): """ Return a generator for consecutive Pade approximants for a series. It can also be used for computi...
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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 sympy.core.basic import Basic from sympy.core.cache import cacheit from sympy.core.containers import Tuple from sympy.core.decorators import call_highest_priority from sympy.core.parameters import global_parameters from sympy.core.function import AppliedUndef, expand from sympy.core.mul import Mul from sympy.core....
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from sympy.calculus.accumulationbounds import AccumBounds from sympy.core import S, Symbol, Add, sympify, Expr, PoleError, Mul from sympy.core.exprtools import factor_terms from sympy.core.numbers import Float, _illegal from sympy.functions.combinatorial.factorials import factorial from sympy.functions.elementary.compl...
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"""Fourier Series""" from sympy.core.numbers import (oo, pi) from sympy.core.symbol import Wild from sympy.core.expr import Expr from sympy.core.add import Add from sympy.core.containers import Tuple from sympy.core.singleton import S from sympy.core.symbol import Dummy, Symbol from sympy.core.sympify import sympify f...
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"""Formal Power Series""" from collections import defaultdict from sympy.core.numbers import (nan, oo, zoo) from sympy.core.add import Add from sympy.core.expr import Expr from sympy.core.function import Derivative, Function, expand from sympy.core.mul import Mul from sympy.core.numbers import Rational from sympy.cor...
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from sympy.core import S, sympify, Expr, Dummy, Add, Mul from sympy.core.cache import cacheit from sympy.core.containers import Tuple from sympy.core.function import Function, PoleError, expand_power_base, expand_log from sympy.core.sorting import default_sort_key from sympy.functions.elementary.exponential import exp,...
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""" Expand Hypergeometric (and Meijer G) functions into named special functions. The algorithm for doing this uses a collection of lookup tables of hypergeometric functions, and various of their properties, to expand many hypergeometric functions in terms of special functions. It is based on the following paper: ...
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from collections import defaultdict from sympy.concrete.products import Product from sympy.concrete.summations import Sum from sympy.core import (Basic, S, Add, Mul, Pow, Symbol, sympify, expand_func, Function, Dummy, Expr, factor_terms, expand_power_exp, Eq) from sympy....
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from sympy.core.traversal import use as _use from sympy.utilities.decorator import deprecated use = deprecated( """ Using use from the sympy.simplify.traversaltools submodule is deprecated. Instead, use use from the top-level sympy namespace, like sympy.use """, deprecated_since_versi...
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from collections import defaultdict from functools import reduce from sympy.core.function import expand_log, count_ops, _coeff_isneg from sympy.core import sympify, Basic, Dummy, S, Add, Mul, Pow, expand_mul, factor_terms from sympy.core.sorting import ordered, default_sort_key from sympy.core.numbers import Integer, ...
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from collections import defaultdict from functools import reduce from sympy.core import (sympify, Basic, S, Expr, factor_terms, Mul, Add, bottom_up) from sympy.core.cache import cacheit from sympy.core.function import (count_ops, _mexpand, FunctionClass, expand, ...
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""" Tools for doing common subexpression elimination. """ from collections import defaultdict from sympy.core import Basic, Mul, Add, Pow, sympify from sympy.core.containers import Tuple, OrderedSet from sympy.core.exprtools import factor_terms from sympy.core.singleton import S from sympy.core.sorting import ordered ...
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from collections import defaultdict from sympy.core.add import Add 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 from sympy.core.numbers import pi, I from sympy.core.power import Pow from symp...
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from sympy.core.numbers import Rational from sympy.core.singleton import S from sympy.functions.elementary.complexes import (conjugate, im, re, sign) from sympy.functions.elementary.exponential import (exp, log as ln) from sympy.functions.elementary.miscellaneous import sqrt from sympy.functions.elementary.trigonometri...
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from typing import Any, Set as tSet from functools import reduce from itertools import permutations from sympy.combinatorics import Permutation from sympy.core import ( Basic, Expr, Function, diff, Pow, Mul, Add, Lambda, S, Tuple, Dict ) from sympy.core.cache import cacheit from sympy.core.symbol import Symb...
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""" AST nodes specific to C++. """ from sympy.codegen.ast import Attribute, String, Token, Type, none class using(Token): """ Represents a 'using' statement in C++ """ __slots__ = _fields = ('type', 'alias') defaults = {'alias': none} _construct_type = Type _construct_alias = String constexpr = A...
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"""This module provides containers for python objects that are valid printing targets but are not a subclass of SymPy's Printable. """ from sympy.core.containers import Tuple class List(Tuple): """Represents a (frozen) (Python) list (for code printing purposes).""" def __eq__(self, other): if isinst...
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""" AST nodes specific to the C family of languages """ from sympy.codegen.ast import ( Attribute, Declaration, Node, String, Token, Type, none, FunctionCall, CodeBlock ) from sympy.core.basic import Basic from sympy.core.containers import Tuple from sympy.core.sympify import sympify void = Type('void') ...
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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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from .abstract_nodes import List as AbstractList from .ast import Token class List(AbstractList): pass class NumExprEvaluate(Token): """represents a call to :class:`numexpr`s :func:`evaluate`""" __slots__ = _fields = ('expr',)
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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* | | CodegenAST ...
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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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""" 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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"""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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""" Known facts in assumptions module. This module defines the facts between unary predicates in ``get_known_facts()``, and supports functions to generate the contents in ``sympy.assumptions.ask_generated`` file. """ from sympy.assumptions.ask import Q from sympy.assumptions.assume import AppliedPredicate from sympy....
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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 do not 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, z...
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from sympy.core.add import Add from sympy.core.exprtools import factor_terms from sympy.core.function import expand_log, _mexpand from sympy.core.power import Pow from sympy.core.singleton import S from sympy.core.sorting import ordered from sympy.core.symbol import Dummy from sympy.functions.elementary.exponential imp...
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r""" This module is intended for solving recurrences or, in other words, difference equations. Currently supported are linear, inhomogeneous equations with polynomial or rational coefficients. The solutions are obtained among polynomials, rational functions, hypergeometric terms, or combinations of hypergeometric term...
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from sympy.core import (Function, Pow, sympify, Expr) from sympy.core.relational import Relational from sympy.core.singleton import S from sympy.polys import Poly, decompose from sympy.utilities.misc import func_name from sympy.functions.elementary.miscellaneous import Min, Max def decompogen(f, symbol): """ ...
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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 contains pdsolve() and different helper functions that it uses. It is heavily inspired by the ode module and hence the basic infrastructure remains the same. **Functions in this module** These are the user functions in this module: - pdsolve() - Solves PDE's - classify_pde() - Classif...
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"""Utility functions for classifying and solving ordinary and partial differential equations. Contains ======== _preprocess ode_order _desolve """ from sympy.core import Pow from sympy.core.function import Derivative, AppliedUndef from sympy.core.relational import Equality from sympy.core.symbol import Wild def _pre...
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"""Solvers of systems of polynomial equations. """ from sympy.core import S from sympy.core.sorting import default_sort_key from sympy.polys import Poly, groebner, roots from sympy.polys.polytools import parallel_poly_from_expr from sympy.polys.polyerrors import (ComputationFailed, PolificationFailed, CoercionFail...
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"""Tools for solving inequalities and systems of inequalities. """ from sympy.calculus.util import (continuous_domain, periodicity, function_range) from sympy.core import Symbol, Dummy, sympify from sympy.core.exprtools import factor_terms from sympy.core.relational import Relational, Eq, Ge, Lt from sympy.sets.se...
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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.core import (S, Add, Symbol, Dummy, Expr...
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from sympy.core import Atom, Basic class CartanType_generator(): """ Constructor for actually creating things """ def __call__(self, *args): c = args[0] if isinstance(c, list): letter, n = c[0], int(c[1]) elif isinstance(c, str): letter, n = c[0], int(c[...
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"""Calculus-related methods.""" from .euler import euler_equations from .singularities import (singularities, is_increasing, is_strictly_increasing, is_decreasing, is_strictly_decreasing, is_monotonic) from .finite_diff import finite_diff_weights, apply_finite_di...
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from sympy.core import Add, Mul, Pow, S from sympy.core.basic import Basic from sympy.core.expr import Expr from sympy.core.numbers import _sympifyit, oo, zoo from sympy.core.relational import is_le, is_lt, is_ge, is_gt from sympy.core.sympify import _sympify from sympy.functions.elementary.miscellaneous import Min, Ma...
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""" Finite difference weights ========================= This module implements an algorithm for efficient generation of finite difference weights for ordinary differentials of functions for derivatives from 0 (interpolation) up to arbitrary order. The core algorithm is provided in the finite difference weight generat...
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from .accumulationbounds import AccumBounds, AccumulationBounds # noqa: F401 from .singularities import singularities from sympy.core import Pow, S from sympy.core.function import diff, expand_mul from sympy.core.kind import NumberKind from sympy.core.mod import Mod from sympy.core.relational import Relational from sym...
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""" .. deprecated:: 1.6 sympy.utilities.pytest has been renamed to sympy.testing.pytest. """ from sympy.utilities.exceptions import sympy_deprecation_warning sympy_deprecation_warning("The sympy.utilities.pytest submodule is deprecated. Use sympy.testing.pytest instead.", deprecated_since_version="1.6", ac...
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""" This module adds several functions for interactive source code inspection. """ from sympy.utilities.decorator import deprecated import inspect @deprecated( """ The source() function is deprecated. Use inspect.getsource() instead, or if you are in IPython or Jupyter, the ?? feature. """, depre...
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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 as tDict, Iterable, Union as tUnion, TYPE_CHECKING import builtins import inspect import keyword import textwrap import linecache...
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""" .. deprecated:: 1.6 sympy.utilities.benchmarking has been renamed to sympy.testing.benchmarking. """ from sympy.utilities.exceptions import sympy_deprecation_warning sympy_deprecation_warning("The sympy.utilities.benchmarking submodule is deprecated. Use sympy.testing.benchmarking instead.", deprecated_sin...
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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 import contextlib from textwrap import dedent class SymPyDeprecationWarning(DeprecationWarning): r""" A warning for deprecated features of SymPy. See the :ref:`deprecation-policy` document for details on when and how things should be de...
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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 sympy_deprecation_warning def threaded_factory(func, use_add): """A factory...
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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 collections import defaultdict, OrderedDict from itertools import ( chain, combinations, combinations_with_replacement, cycle, islice, permutations, product ) # For backwards compatibility from itertools import product as cartes # noqa: F401 from operator import gt # this is the logical location of the...
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""" .. deprecated:: 1.6 sympy.utilities.runtests has been renamed to sympy.testing.runtests. """ from sympy.utilities.exceptions import sympy_deprecation_warning sympy_deprecation_warning("The sympy.utilities.runtests submodule is deprecated. Use sympy.testing.runtests instead.", deprecated_since_version="1.6...
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""" .. deprecated:: 1.6 sympy.utilities.randtest has been renamed to sympy.core.random. """ from sympy.utilities.exceptions import sympy_deprecation_warning sympy_deprecation_warning("The sympy.utilities.randtest submodule is deprecated. Use sympy.core.random instead.", deprecated_since_version="1.6", acti...
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"""Miscellaneous stuff that does not 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 definit...
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""" .. deprecated:: 1.6 sympy.utilities.tmpfiles has been renamed to sympy.testing.tmpfiles. """ from sympy.utilities.exceptions import sympy_deprecation_warning sympy_deprecation_warning("The sympy.utilities.tmpfiles submodule is deprecated. Use sympy.testing.tmpfiles instead.", deprecated_since_version="1.6"...
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""" .. deprecated:: 1.7 cxxcode.py was deprecated and renamed to cxx.py. This is a shim file to provide backwards compatibility. """ from sympy.utilities.exceptions import sympy_deprecation_warning sympy_deprecation_warning( """ The sympy.printing.cxxcode submodule is deprecated. It has been renamed t...
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from sympy.core import S from sympy.core.function import Lambda from sympy.core.power import Pow from .pycode import PythonCodePrinter, _known_functions_math, _print_known_const, _print_known_func, _unpack_integral_limits, ArrayPrinter from .codeprinter import CodePrinter _not_in_numpy = 'erf erfc factorial gamma log...
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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 sympy.core.mod import Mod from .precedence import precedence from .codeprinter import CodePrinter ...
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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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""" 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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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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""" .. deprecated:: 1.7 ccode.py was deprecated and renamed to c.py. This is a shim file to provide backwards compatibility. """ from sympy.utilities.exceptions import sympy_deprecation_warning sympy_deprecation_warning( """ The sympy.printing.ccode submodule is deprecated. It has been renamed to ...
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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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""" .. deprecated:: 1.7 fcode.py was deprecated and renamed to fortran.py. This is a shim file to provide backwards compatibility. """ from sympy.utilities.exceptions import sympy_deprecation_warning sympy_deprecation_warning( """ The sympy.printing.fcode submodule is deprecated. It has been renamed t...
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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 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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from sympy.core.basic import Basic from sympy.core.expr import Expr from sympy.core.symbol import Symbol from sympy.core.numbers import Integer, Rational, Float from sympy.printing.repr import srepr __all__ = ['dotprint'] default_styles = ( (Basic, {'color': 'blue', 'shape': 'ellipse'}), (Expr, {'color': 'bl...
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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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""" .. deprecated:: 1.8 ``sympy.printing.theanocode`` is deprecated. Theano has been renamed to Aesara. Use ``sympy.printing.aesaracode`` instead. See :ref:`theanocode-deprecated` for more information. """ from typing import Any, Dict as tDict from sympy.external import import_module from sympy.printing.printe...
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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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""" Integral Transforms """ from functools import reduce, wraps from itertools import repeat from sympy.core import S, pi, I from sympy.core.add import Add from sympy.core.function import (AppliedUndef, count_ops, Derivative, expand, expand_complex, expand_mul, Function, Lambda, ...
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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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"""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 def change_mul(node, x): """change_mul(node, x) Rearranges the operands of a product, bringing to f...
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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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""" 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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"""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, Any from .assumptions import ManagedProperties from .cache import cacheit from .core import BasicMeta from .sympify import _sympi...
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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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"""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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"""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 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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from typing import Tuple as tTuple, TYPE_CHECKING from collections.abc import Iterable from functools import reduce from .sympify import sympify, _sympify from .basic import Basic, Atom from .singleton import S from .evalf import EvalfMixin, pure_complex, DEFAULT_MAXPREC from .decorators import call_highest_priority, ...
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""" When you need to use random numbers in SymPy library code, import from here so there is only one generator working for SymPy. Imports from here should behave the same as if they were being imported from Python's random module. But only the routines currently used in SymPy are included here. To use others import ``r...
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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, _sympy_converter, sympify, _convert_numpy_types, _sympify, _is_numpy_i...
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from operator import attrgetter from typing import Tuple as tTuple, Type from collections import defaultdict from sympy.utilities.exceptions import sympy_deprecation_warning from .sympify import _sympify as _sympify_, sympify from .basic import Basic from .cache import cacheit from .sorting import ordered from .logic...
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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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""" .. deprecated:: 1.10 ``sympy.core.compatibility`` is deprecated. See :ref:`sympy-core-compatibility`. 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 sympy.utilities.excep...
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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 sympy.core.random import choice from .parameters import global_parameters from sympy.utilities.exceptions import sympy...
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from sympy.utilities.exceptions import sympy_deprecation_warning sympy_deprecation_warning( """ sympy.core.trace is deprecated. Use sympy.physics.quantum.trace instead. """, deprecated_since_version="1.10", active_deprecations_target="sympy-core-trace-deprecated", ) from sympy.physics.quantum....
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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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"""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 typing impo...
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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...