def it_knows_its_box_mask(self, request, tmpdir, check_tissue,
expected_box):
slide, _ = base_test_slide(tmpdir,
PILIMG.RGBA_COLOR_500X500_155_249_240)
_biggest_tissue_box_mask = property_mock(request, Slide,
"biggest_tissue_box_mask")
_biggest_tissue_box_mask.return_value = expected_box
random_tiler = RandomTiler((128, 128),
10,
0,
check_tissue=check_tissue)
box_mask = random_tiler.box_mask(slide)
_biggest_tissue_box_mask.assert_called_once_with()
assert type(box_mask) == np.ndarray
np.testing.assert_array_almost_equal(box_mask, expected_box)
def it_knows_its_box_mask(self, request, tmpdir, check_tissue, expected_box):
tmp_path_ = tmpdir.mkdir("myslide")
image = PILIMG.RGBA_COLOR_500X500_155_249_240
image.save(os.path.join(tmp_path_, "mywsi.png"), "PNG")
slide_path = os.path.join(tmp_path_, "mywsi.png")
slide = Slide(slide_path, "processed")
_biggest_tissue_box_mask = property_mock(
request, Slide, "biggest_tissue_box_mask"
)
_biggest_tissue_box_mask.return_value = expected_box
random_tiler = RandomTiler((128, 128), 10, 0, check_tissue=check_tissue)
box_mask = random_tiler.box_mask(slide)
_biggest_tissue_box_mask.assert_called_once_with()
assert type(box_mask) == np.ndarray
np.testing.assert_array_almost_equal(box_mask, expected_box)
