def test_doesnt_take_too_long_for_a_50_cube(self):
too_long_seconds = 0.1
width = 50
shape = (width,) * 3
size = reduce(mul, shape)
array_to_replace_values = np.array([x % (size / 5) for x in range(size)], dtype=np.uint32)
replacements = {y: 0 for y in range(0, size / 5, 5)}
start = time.time()
replace_array_values(array_to_replace_values, replacements)
execution_seconds = time.time() - start
self.assertLess(execution_seconds, too_long_seconds)
def test_doesnt_take_too_long_for_a_50_cube(self):
too_long_seconds = 0.1
width = 50
shape = (width, ) * 3
size = reduce(mul, shape)
array_to_replace_values = np.array(
[x % (size / 5) for x in range(size)], dtype=np.uint32)
replacements = {y: 0 for y in range(0, size / 5, 5)}
start = time.time()
replace_array_values(array_to_replace_values, replacements)
execution_seconds = time.time() - start
self.assertLess(execution_seconds, too_long_seconds)
def test_works_with_ndarrays(self):
array = np.array([2, 0, 2, 3, 2, 3]).reshape((3, 2))
replacements = {2: 0}
result = replace_array_values(array, replacements)
expected = np.array([0, 0, 0, 3, 0, 3]).reshape((3, 2))
assert result.shape == (3, 2)
np.testing.assert_almost_equal(result, expected)
def test_replace_array_values(self):
array = np.array([2, 0, 2, 3, 2, 3])
replacements = {
2: 0
}
result = replace_array_values(array, replacements)
expected = np.array([0, 0, 0, 3, 0, 3])
np.testing.assert_almost_equal(result, expected)
def test_works_with_ndarrays(self):
array = np.array([2, 0, 2, 3, 2, 3]).reshape((3, 2))
replacements = {
2: 0
}
result = replace_array_values(array, replacements)
expected = np.array([0, 0, 0, 3, 0, 3]).reshape((3, 2))
assert result.shape == (3, 2)
np.testing.assert_almost_equal(result, expected)
def test_replace_array_values(self):
array = np.array([2, 0, 2, 3, 2, 3])
replacements = {2: 0}
result = replace_array_values(array, replacements)
expected = np.array([0, 0, 0, 3, 0, 3])
np.testing.assert_almost_equal(result, expected)
