def test_spot_crops_spot_scale(self, adata: AnnData, cont: ImageContainer,
scale: float, spot_scale: float):
diameter = adata.uns["spatial"][Key.uns.library_id(
adata, "spatial")]["scalefactors"]["spot_diameter_fullres"]
radius = int(round(diameter // 2) * spot_scale)
size = int((2 * radius + 1) * scale), int((2 * radius + 1) * scale)
for crop in cont.generate_spot_crops(adata,
spot_scale=spot_scale,
scale=scale):
assert crop.shape == size
def test_spot_crops_mask_circle(self, adata: AnnData,
cont: ImageContainer):
for crop in cont.generate_spot_crops(adata,
cval=np.nan,
mask_circle=True,
preserve_dtypes=False):
assert crop.shape[0] == crop.shape[1]
c = crop.shape[0] // 2
mask = (crop.data.x - c)**2 + (crop.data.y - c)**2 <= c**2
np.testing.assert_array_equal(
crop["image"].values[..., 0][~mask.values], np.nan)
