def test_copy(self):
data = arange(5 * 3, dtype='f8').reshape(5, 3)
original_data = data.copy()
adjustments = {2: [Float64Multiply(0, 4, 0, 2, 2.0)]}
adjusted_array = AdjustedArray(data, adjustments, float('nan'))
traverse_copy = adjusted_array.copy()
clean_copy = adjusted_array.copy()
a_it = adjusted_array.traverse(2, copy=False)
b_it = traverse_copy.traverse(2, copy=False)
for a, b in zip(a_it, b_it):
assert_equal(a, b)
with self.assertRaises(ValueError) as e:
adjusted_array.copy()
assert_equal(
str(e.exception),
'cannot copy invalidated AdjustedArray',
)
# the clean copy should have the original data even though the
# original adjusted array has it's data mutated in place
assert_equal(clean_copy.data, original_data)
assert_equal(adjusted_array.data, original_data * 2)
def test_copy(self):
data = np.arange(5 * 3, dtype="f8").reshape(5, 3)
original_data = data.copy()
adjustments = {2: [Float64Multiply(0, 4, 0, 2, 2.0)]}
adjusted_array = AdjustedArray(data, adjustments, float("nan"))
traverse_copy = adjusted_array.copy()
clean_copy = adjusted_array.copy()
a_it = adjusted_array.traverse(2, copy=False)
b_it = traverse_copy.traverse(2, copy=False)
for a, b in zip(a_it, b_it):
assert_equal(a, b)
err_msg = "cannot copy invalidated AdjustedArray"
with pytest.raises(ValueError, match=err_msg):
adjusted_array.copy()
# the clean copy should have the original data even though the
# original adjusted array has it's data mutated in place
assert_equal(clean_copy.data, original_data)
assert_equal(adjusted_array.data, original_data * 2)
