MAINT: PEP8 fixes and _interpolation_test.pyx -> interpolation.pyx rename

skimage/transform/_warps.py

@@ -49,8 +49,8 @@ def resize(image, output_shape, order=1, mode='constant', cval=0, clip=True,
         Whether to keep the original range of values. Otherwise, the input
         image is converted according to the conventions of `img_as_float`.
 
-    Notes
-    -----
+    Note
+    ----
     Modes 'mirror' and 'reflect' are similar, but differ in whether the edge
     voxels are duplicated during the reflection.  As an example, if an array
     has values [0, 1, 2] and was padded to the right by four values using

skimage/transform/_warps_cy.pyx

@@ -76,8 +76,8 @@ def _warp_fast(cnp.ndarray image, cnp.ndarray H, output_shape=None,
         Used in conjunction with mode 'C' (constant), the value
         outside the image boundaries.
 
-    Notes
-    -----
+    Note
+    ----
     Modes 'mirror' and 'reflect' are similar, but differ in whether the edge
     voxels are duplicated during the reflection.  As an example, if an array
     has values [0, 1, 2] and was padded to the right by four values using

skimage/transform/tests/test_warps.py

@@ -181,7 +181,6 @@ def test_resize3d_resize():
     assert_almost_equal(resized, ref)
 
 
-
 def test_resize3d_2din_3dout():
     # 3D output with 2D input
     x = np.zeros((5, 5), dtype=np.double)
@@ -192,7 +191,6 @@ def test_resize3d_2din_3dout():
     assert_almost_equal(resized, ref)
 
 
-
 def test_resize3d_bilinear():
     # bilinear 3rd dimension
     x = np.zeros((5, 5, 2), dtype=np.double)