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from sympy.core.assumptions import check_assumptions | |
from sympy.core.logic import fuzzy_and | |
from sympy.core.sympify import _sympify | |
from sympy.matrices.kind import MatrixKind | |
from sympy.sets.sets import Set, SetKind | |
from sympy.core.kind import NumberKind | |
from .matexpr import MatrixExpr | |
class MatrixSet(Set): | |
""" | |
MatrixSet represents the set of matrices with ``shape = (n, m)`` over the | |
given set. | |
Examples | |
======== | |
>>> from sympy.matrices import MatrixSet | |
>>> from sympy import S, I, Matrix | |
>>> M = MatrixSet(2, 2, set=S.Reals) | |
>>> X = Matrix([[1, 2], [3, 4]]) | |
>>> X in M | |
True | |
>>> X = Matrix([[1, 2], [I, 4]]) | |
>>> X in M | |
False | |
""" | |
is_empty = False | |
def __new__(cls, n, m, set): | |
n, m, set = _sympify(n), _sympify(m), _sympify(set) | |
cls._check_dim(n) | |
cls._check_dim(m) | |
if not isinstance(set, Set): | |
raise TypeError("{} should be an instance of Set.".format(set)) | |
return Set.__new__(cls, n, m, set) | |
def shape(self): | |
return self.args[:2] | |
def set(self): | |
return self.args[2] | |
def _contains(self, other): | |
if not isinstance(other, MatrixExpr): | |
raise TypeError("{} should be an instance of MatrixExpr.".format(other)) | |
if other.shape != self.shape: | |
are_symbolic = any(_sympify(x).is_Symbol for x in other.shape + self.shape) | |
if are_symbolic: | |
return None | |
return False | |
return fuzzy_and(self.set.contains(x) for x in other) | |
def _check_dim(cls, dim): | |
"""Helper function to check invalid matrix dimensions""" | |
ok = not dim.is_Float and check_assumptions( | |
dim, integer=True, nonnegative=True) | |
if ok is False: | |
raise ValueError( | |
"The dimension specification {} should be " | |
"a nonnegative integer.".format(dim)) | |
def _kind(self): | |
return SetKind(MatrixKind(NumberKind)) | |