def test_float_faithful_to_large_values(self):
dts = ["float16", "float32", "float64", "float128"]
values = [
[0.01, 0.1, 1.0, 10.0**1, 10.0**2], # float16
[0.01, 0.1, 1.0, 10.0**1, 10.0**2, 10.0**4, 10.0**6], # float32
[0.01, 0.1, 1.0, 10.0**1, 10.0**2, 10.0**6, 10.0**10], # float64
[0.01, 0.1, 1.0, 10.0**1, 10.0**2, 10.0**7, 10.0**11], # float128
]
for dt, values_i in zip(dts, values):
for value in values_i:
with self.subTest(dtype=dt, value=value):
dt = np.dtype(dt)
minv, center, maxv = -value, 0.0, value
atol = 1e-4 if dt.name == "float16" else 1e-8
arr = np.array([[minv], [center], [maxv]], dtype=dt)
arr_flipped = fliplib.flipud(arr)
expected = np.array([[maxv], [center], [minv]], dtype=dt)
assert arr_flipped.dtype.name == dt.name
assert arr_flipped.shape == (3, 1)
assert np.allclose(arr_flipped,
expected,
rtol=0,
atol=atol)
def test_bool_faithful(self):
arr = np.array([[False], [False], [True]], dtype=bool)
arr_flipped = fliplib.flipud(arr)
expected = np.array([[True], [False], [False]], dtype=bool)
assert arr_flipped.dtype.name == "bool"
assert arr_flipped.shape == (3, 1)
assert np.array_equal(arr_flipped, expected)
def test_float_faithful_to_min_max(self):
dts = ["float16", "float32", "float64", "float128"]
for dt in dts:
with self.subTest(dtype=dt):
dt = np.dtype(dt)
minv, center, maxv = iadt.get_value_range_of_dtype(dt)
center = int(center)
atol = 1e-4 if dt.name == "float16" else 1e-8
arr = np.array([[minv], [center], [maxv]], dtype=dt)
arr_flipped = fliplib.flipud(arr)
expected = np.array([[maxv], [center], [minv]], dtype=dt)
assert arr_flipped.dtype.name == dt.name
assert arr_flipped.shape == (3, 1)
assert np.allclose(arr_flipped, expected, rtol=0, atol=atol)
def test_uint_int_faithful(self):
dts = ["uint8", "uint16", "uint32", "uint64",
"int8", "int16", "int32", "int64"]
for dt in dts:
with self.subTest(dtype=dt):
dt = np.dtype(dt)
minv, center, maxv = iadt.get_value_range_of_dtype(dt)
center = int(center)
arr = np.array([[minv], [center], [maxv]], dtype=dt)
arr_flipped = fliplib.flipud(arr)
expected = np.array([[maxv], [center], [minv]], dtype=dt)
assert arr_flipped.dtype.name == dt.name
assert arr_flipped.shape == (3, 1)
assert np.array_equal(arr_flipped, expected)
def test_zero_channels_arr(self):
arr = np.zeros((4, 1, 0), dtype=np.uint8)
arr_flipped = fliplib.flipud(arr)
assert arr_flipped.dtype.name == "uint8"
assert arr_flipped.shape == (4, 1, 0)
def test_zero_height_arr(self):
arr = np.zeros((0, 4, 1), dtype=np.uint8)
arr_flipped = fliplib.flipud(arr)
assert arr_flipped.dtype.name == "uint8"
assert arr_flipped.shape == (0, 4, 1)
def test_zero_width_arr(self):
arr = np.zeros((4, 0, 1), dtype=np.uint8)
arr_flipped = fliplib.flipud(arr)
assert arr_flipped.dtype.name == "uint8"
assert arr_flipped.shape == (4, 0, 1)
