189 lines
7.7 KiB
Diff
189 lines
7.7 KiB
Diff
--- python3/sympy/assumptions/sathandlers.py.orig 2017-07-26 16:46:12.000000000 -0600
|
|
+++ python3/sympy/assumptions/sathandlers.py 2018-06-27 07:04:03.105607298 -0600
|
|
@@ -1,6 +1,7 @@
|
|
from __future__ import print_function, division
|
|
|
|
-from collections import MutableMapping, defaultdict
|
|
+from collections import defaultdict
|
|
+from collections.abc import MutableMapping
|
|
|
|
from sympy.core import (Add, Mul, Pow, Integer, Number, NumberSymbol,)
|
|
from sympy.core.numbers import ImaginaryUnit
|
|
--- python3/sympy/physics/mechanics/linearize.py.orig 2017-07-26 16:46:12.000000000 -0600
|
|
+++ python3/sympy/physics/mechanics/linearize.py 2018-06-27 18:50:27.377496377 -0600
|
|
@@ -8,6 +8,7 @@ from sympy.utilities.iterables import fl
|
|
from sympy.physics.vector import dynamicsymbols
|
|
from sympy.physics.mechanics.functions import msubs
|
|
import collections
|
|
+import collections.abc
|
|
|
|
|
|
class Linearizer(object):
|
|
@@ -262,7 +263,7 @@ class Linearizer(object):
|
|
# Compose dict of operating conditions
|
|
if isinstance(op_point, dict):
|
|
op_point_dict = op_point
|
|
- elif isinstance(op_point, collections.Iterable):
|
|
+ elif isinstance(op_point, collections.abc.Iterable):
|
|
op_point_dict = {}
|
|
for op in op_point:
|
|
op_point_dict.update(op)
|
|
--- python3/sympy/physics/units/util.py.orig 2017-07-26 16:46:12.000000000 -0600
|
|
+++ python3/sympy/physics/units/util.py 2018-06-27 18:48:35.345734211 -0600
|
|
@@ -6,7 +6,7 @@ Several methods to simplify expressions
|
|
|
|
from __future__ import division
|
|
|
|
-import collections
|
|
+import collections.abc
|
|
|
|
from sympy.physics.units.quantities import Quantity
|
|
from sympy import Add, Mul, Pow, Function, Rational, Tuple, sympify
|
|
@@ -110,7 +110,7 @@ def convert_to(expr, target_units):
|
|
7.62950196312651e-20*gravitational_constant**(-0.5)*hbar**0.5*speed_of_light**0.5
|
|
|
|
"""
|
|
- if not isinstance(target_units, (collections.Iterable, Tuple)):
|
|
+ if not isinstance(target_units, (collections.abc.Iterable, Tuple)):
|
|
target_units = [target_units]
|
|
|
|
if isinstance(expr, Add):
|
|
--- python3/sympy/printing/conventions.py.orig 2017-07-26 16:46:12.000000000 -0600
|
|
+++ python3/sympy/printing/conventions.py 2018-06-27 18:49:32.873611416 -0600
|
|
@@ -5,7 +5,7 @@ A few practical conventions common to al
|
|
from __future__ import print_function, division
|
|
|
|
import re
|
|
-import collections
|
|
+import collections.abc
|
|
|
|
|
|
_name_with_digits_p = re.compile(r'^([a-zA-Z]+)([0-9]+)$')
|
|
@@ -77,7 +77,7 @@ def requires_partial(expr):
|
|
get the context of the expression.
|
|
"""
|
|
|
|
- if not isinstance(expr.free_symbols, collections.Iterable):
|
|
+ if not isinstance(expr.free_symbols, collections.abc.Iterable):
|
|
return len(set(expr.variables)) > 1
|
|
|
|
return sum(not s.is_integer for s in expr.free_symbols) > 1
|
|
--- python3/sympy/tensor/array/arrayop.py.orig 2017-07-26 16:46:12.000000000 -0600
|
|
+++ python3/sympy/tensor/array/arrayop.py 2018-06-27 18:51:28.657367034 -0600
|
|
@@ -1,6 +1,6 @@
|
|
import itertools
|
|
|
|
-import collections
|
|
+import collections.abc
|
|
|
|
from sympy import S, Tuple, diff
|
|
|
|
@@ -103,7 +103,7 @@ def tensorcontraction(array, *contractio
|
|
# Verify contraction_axes:
|
|
taken_dims = set([])
|
|
for axes_group in contraction_axes:
|
|
- if not isinstance(axes_group, collections.Iterable):
|
|
+ if not isinstance(axes_group, collections.abc.Iterable):
|
|
raise ValueError("collections of contraction axes expected")
|
|
|
|
dim = array.shape[axes_group[0]]
|
|
@@ -190,7 +190,7 @@ def derive_by_array(expr, dx):
|
|
|
|
"""
|
|
from sympy.matrices import MatrixBase
|
|
- array_types = (collections.Iterable, MatrixBase, NDimArray)
|
|
+ array_types = (collections.abc.Iterable, MatrixBase, NDimArray)
|
|
|
|
if isinstance(dx, array_types):
|
|
dx = ImmutableDenseNDimArray(dx)
|
|
--- python3/sympy/tensor/array/ndim_array.py.orig 2017-07-26 16:46:12.000000000 -0600
|
|
+++ python3/sympy/tensor/array/ndim_array.py 2018-06-27 18:47:21.848896952 -0600
|
|
@@ -1,5 +1,5 @@
|
|
from __future__ import print_function, division
|
|
-import collections
|
|
+import collections.abc
|
|
|
|
from sympy import Basic
|
|
|
|
@@ -100,13 +100,13 @@ class NDimArray(object):
|
|
|
|
def _setter_iterable_check(self, value):
|
|
from sympy.matrices.matrices import MatrixBase
|
|
- if isinstance(value, (collections.Iterable, MatrixBase, NDimArray)):
|
|
+ if isinstance(value, (collections.abc.Iterable, MatrixBase, NDimArray)):
|
|
raise NotImplementedError
|
|
|
|
@classmethod
|
|
def _scan_iterable_shape(cls, iterable):
|
|
def f(pointer):
|
|
- if not isinstance(pointer, collections.Iterable):
|
|
+ if not isinstance(pointer, collections.abc.Iterable):
|
|
return [pointer], ()
|
|
|
|
result = []
|
|
@@ -131,7 +131,7 @@ class NDimArray(object):
|
|
shape = iterable.shape
|
|
iterable = list(iterable)
|
|
# Construct N-dim array from an iterable (numpy arrays included):
|
|
- elif shape is None and isinstance(iterable, collections.Iterable):
|
|
+ elif shape is None and isinstance(iterable, collections.abc.Iterable):
|
|
iterable, shape = cls._scan_iterable_shape(iterable)
|
|
|
|
# Construct N-dim array from a Matrix:
|
|
@@ -310,7 +310,7 @@ class NDimArray(object):
|
|
def __mul__(self, other):
|
|
from sympy.matrices.matrices import MatrixBase
|
|
|
|
- if isinstance(other, (collections.Iterable,NDimArray, MatrixBase)):
|
|
+ if isinstance(other, (collections.abc.Iterable,NDimArray, MatrixBase)):
|
|
raise ValueError("scalar expected, use tensorproduct(...) for tensorial product")
|
|
other = sympify(other)
|
|
result_list = [i*other for i in self]
|
|
@@ -319,7 +319,7 @@ class NDimArray(object):
|
|
def __rmul__(self, other):
|
|
from sympy.matrices.matrices import MatrixBase
|
|
|
|
- if isinstance(other, (collections.Iterable,NDimArray, MatrixBase)):
|
|
+ if isinstance(other, (collections.abc.Iterable,NDimArray, MatrixBase)):
|
|
raise ValueError("scalar expected, use tensorproduct(...) for tensorial product")
|
|
other = sympify(other)
|
|
result_list = [other*i for i in self]
|
|
@@ -328,7 +328,7 @@ class NDimArray(object):
|
|
def __div__(self, other):
|
|
from sympy.matrices.matrices import MatrixBase
|
|
|
|
- if isinstance(other, (collections.Iterable,NDimArray, MatrixBase)):
|
|
+ if isinstance(other, (collections.abc.Iterable,NDimArray, MatrixBase)):
|
|
raise ValueError("scalar expected")
|
|
other = sympify(other)
|
|
result_list = [i/other for i in self]
|
|
--- python3/sympy/tensor/indexed.py.orig 2017-07-26 16:46:12.000000000 -0600
|
|
+++ python3/sympy/tensor/indexed.py 2018-06-27 18:48:03.513804692 -0600
|
|
@@ -107,7 +107,7 @@ matrix element ``M[i, j]`` as in the fol
|
|
|
|
from __future__ import print_function, division
|
|
|
|
-import collections
|
|
+import collections.abc
|
|
|
|
from sympy.core.sympify import _sympify
|
|
from sympy.functions.special.tensor_functions import KroneckerDelta
|
|
@@ -153,7 +153,7 @@ class Indexed(Expr):
|
|
raise TypeError(filldedent("""
|
|
Indexed expects string, Symbol, or IndexedBase as base."""))
|
|
args = list(map(sympify, args))
|
|
- if isinstance(base, (NDimArray, collections.Iterable, Tuple, MatrixBase)) and all([i.is_number for i in args]):
|
|
+ if isinstance(base, (NDimArray, collections.abc.Iterable, Tuple, MatrixBase)) and all([i.is_number for i in args]):
|
|
if len(args) == 1:
|
|
return base[args[0]]
|
|
else:
|
|
@@ -376,7 +376,7 @@ class IndexedBase(Expr, NotIterable):
|
|
pass
|
|
elif isinstance(label, (MatrixBase, NDimArray)):
|
|
return label
|
|
- elif isinstance(label, collections.Iterable):
|
|
+ elif isinstance(label, collections.abc.Iterable):
|
|
return _sympify(label)
|
|
else:
|
|
label = _sympify(label)
|