def test_isintlike(self):
assert_equal(sputils.isintlike(-4), True)
assert_equal(sputils.isintlike(np.array(3)), True)
assert_equal(sputils.isintlike(np.array([3])), False)
with assert_raises(
ValueError,
match="Inexact indices into sparse matrices are not allowed"):
sputils.isintlike(3.0)
assert_equal(sputils.isintlike(2.5), False)
assert_equal(sputils.isintlike(1 + 3j), False)
assert_equal(sputils.isintlike((1, )), False)
assert_equal(sputils.isintlike((1, 2)), False)
def __init__(self, A, p):
if not isinstance(A, LinearOperator):
raise ValueError('LinearOperator expected as A')
if A.shape[0] != A.shape[1]:
raise ValueError('square LinearOperator expected, got %r' % A)
if not isintlike(p) or p < 0:
raise ValueError('non-negative integer expected as p')
super().__init__(_get_dtype([A]), A.shape)
self.args = (A, p)
def test_isintlike(self):
assert_equal(sputils.isintlike(-4), True)
assert_equal(sputils.isintlike(np.array(3)), True)
assert_equal(sputils.isintlike(np.array([3])), False)
with suppress_warnings() as sup:
sup.filter(DeprecationWarning,
"Inexact indices into sparse matrices are deprecated")
assert_equal(sputils.isintlike(3.0), True)
assert_equal(sputils.isintlike(2.5), False)
assert_equal(sputils.isintlike(1 + 3j), False)
assert_equal(sputils.isintlike((1, )), False)
assert_equal(sputils.isintlike((1, 2)), False)