def test_reverse(self):
"""Check if it reverses `transform` properly, if possible."""
t = Precision()
assert t.reverse(9.0) == 9.0
assert t.reverse(5.0) == 5.0
assert numpy.all(
t.reverse([9.0, 5.0]) == numpy.array([9.0, 5.0], dtype=float))
def test_transform(self):
"""Check if it transforms properly."""
t = Precision(precision=4)
assert t.transform(8.654321098) == 8.654
assert t.transform(0.000123456789) == 0.0001235
assert numpy.all(
t.transform([8.654321098, 0.000123456789]) == numpy.array(
[8.654, 0.0001235], dtype=float))
def test_domain_and_target_type(self):
"""Check if attribute-like `domain_type` and `target_type` do
what's expected.
"""
t = Precision()
assert t.domain_type == "real"
assert t.target_type == "real"
def test_repr_format(self):
"""Check representation of a transformed dimension."""
t = Precision()
assert t.repr_format("asfa") == "Precision(4, asfa)"
def test_infer_target_shape(self):
"""Check if it infers the shape of a transformed `Dimension`."""
t = Precision()
assert t.infer_target_shape((5, )) == (5, )
def test_deepcopy(self):
"""Verify that the transformation object can be copied"""
t = Precision()
t.transform([2])
copy.deepcopy(t)