Even with check_tissue=False, the tiles will be extracted within the …

…tissue box

src/histolab/tiler.py

@@ -101,9 +101,7 @@ def max_iter(self, max_iter_: int = 1e4):
     def box_mask(self, slide: Slide) -> sparse._coo.core.COO:
         """Return binary mask at level 0 of the box to consider for tiles extraction.
 
-        If `check_tissue` attribute is True, the mask pixels set to True will be the
-        ones corresponding to the tissue box. Otherwise, all the mask pixels will be set
-        to True.
+        The mask pixels set to True will be the ones corresponding to the tissue box.
 
         Parameters
         ----------
@@ -116,18 +114,13 @@ def box_mask(self, slide: Slide) -> sparse._coo.core.COO:
             Extraction mask at level 0
         """
 
-        if self.check_tissue:
-            return slide.biggest_tissue_box_mask
-        else:
-            return sparse.ones(slide.dimensions[::-1], dtype=bool)
+        return slide.biggest_tissue_box_mask
 
     @lru_cache(maxsize=100)
     def box_mask_lvl(self, slide: Slide) -> sparse._coo.core.COO:
         """Return binary mask at target level of the box to consider for the extraction.
 
-        If ``check_tissue`` attribute is True, the mask pixels set to True will be the
-        ones corresponding to the tissue box. Otherwise, all the mask pixels will be set
-        to True.
+        The mask pixels set to True will be the ones corresponding to the tissue box.
 
         Parameters
         ----------

tests/unit/test_tiler.py

@@ -152,7 +152,7 @@ def it_can_generate_random_coordinates(self, request, tmpdir):
     @pytest.mark.parametrize(
         "check_tissue, expected_box",
         (
-            (False, SparseArrayMock.ONES_500X500_BOOL),
+            (False, SparseArrayMock.RANDOM_500X500_BOOL),
             (True, SparseArrayMock.RANDOM_500X500_BOOL),
         ),
     )
@@ -165,14 +165,12 @@ def it_knows_its_box_mask(self, request, tmpdir, check_tissue, expected_box):
         _biggest_tissue_box_mask = property_mock(
             request, Slide, "biggest_tissue_box_mask"
         )
-        if check_tissue:
-            _biggest_tissue_box_mask.return_value = expected_box
+        _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)
 
-        if check_tissue:
-            _biggest_tissue_box_mask.assert_called_once_with()
+        _biggest_tissue_box_mask.assert_called_once_with()
         assert type(box_mask) == sparse._coo.core.COO
         np.testing.assert_array_almost_equal(box_mask.todense(), expected_box.todense())