def test_upsample():
loop_dim(upsample, read_file('obj.npy'))
def test_circ_mask():
loop_dim(circ_mask, read_file('obj.npy'))
def test_downsample():
loop_dim(downsample, read_file('obj.npy'))
def test_median_filter():
loop_dim(median_filter, read_file('cube.npy'))
def test_sobel_filter():
loop_dim(sobel_filter, read_file('cube.npy'))
def test_circ_mask():
loop_dim(circ_mask, read_file('obj.npy'))
def test_gaussian_filter():
loop_dim(gaussian_filter, read_file('cube.npy'))
def test_downsample():
loop_dim(downsample, read_file('obj.npy'))
def test_upsample():
loop_dim(upsample, read_file('obj.npy'))
def test_pad():
loop_dim(pad, read_file('obj.npy'))
def test_sobel_filter():
loop_dim(sobel_filter, read_file('cube.npy'))
def test_median_filter():
loop_dim(median_filter, read_file('cube.npy'))
def test_gaussian_filter():
loop_dim(gaussian_filter, read_file('cube.npy'))
def test_sobel_filter():
loop_dim(sobel_filter, read_file("cube.npy"))
