fix cubic interpolation kwarg passthrough in 1d sampling (#26)

Author: alisterburt

src/torch_image_interpolation/image_interpolation_1d.py

@@ -71,7 +71,12 @@ def sample_image_1d(
     # Take the samples
     # We need to convert the coordinates to grid_sample format
     coords_2d = array_to_grid_sample(coords_2d, array_shape=(2, w))
-    mode = 'bilinear' if interpolation == 'linear' else interpolation
+    if interpolation == 'linear':
+        mode = 'bilinear'
+    elif interpolation == 'cubic':
+        mode = 'bicubic'
+    else:
+        mode = interpolation
     samples = F.grid_sample(
         input=image,
         grid=coords_2d,

tests/test_image_interpolation_1d.py

@@ -15,7 +15,8 @@ def test_sample_image_1d():
     coords = torch.tensor(np.random.randint(low=0, high=27, size=(*arbitrary_shape,)))
 
     # sample
-    samples = sample_image_1d(image=image, coordinates=coords)
+    for interpolation in ("nearest", "linear", "cubic"):
+        samples = sample_image_1d(image=image, coordinates=coords, interpolation=interpolation)
     assert samples.shape == (6, 7, 8)