def test_intensity_normalization():
data_in = np.random.rand(10, 10)
min_out, max_out = 0, 255
data_out = deepseg_sc.scale_intensity(data_in, out_min=0, out_max=255)
assert data_in.shape == data_out.shape
assert np.min(data_out) >= min_out
assert np.max(data_out) <= max_out
def test_intensity_normalization():
data_in = np.random.rand(10, 10)
min_out, max_out = 0, 255
data_out = deepseg_sc.scale_intensity(data_in, out_min=0, out_max=255)
assert data_in.shape == data_out.shape
assert np.min(data_out) >= min_out
assert np.max(data_out) <= max_out