removed marks from fixtures in tests

sunkit_image/enhance.py

@@ -108,14 +108,14 @@ def mgn(
     for s, weight in zip(sigma, weights):
         # 2 & 3 Create kernel and convolve with image
         # Refer to equation (1) in the paper
-        ndimage.filters.gaussian_filter(data, sigma=s, truncate=truncate, mode="nearest", output=conv)
+        ndimage.gaussian_filter(data, sigma=s, truncate=truncate, mode="nearest", output=conv)
 
         # 4. Calculate difference between image and the local mean image,
         # square the difference, and convolve with kernel. Square-root the
         # resulting image to give `local standard deviation` image sigmaw
         # Refer to equation (2) in the paper
         conv = data - conv
-        ndimage.filters.gaussian_filter(conv**2, sigma=s, truncate=truncate, mode="nearest", output=sigmaw)
+        ndimage.gaussian_filter(conv**2, sigma=s, truncate=truncate, mode="nearest", output=sigmaw)
         np.sqrt(sigmaw, out=sigmaw)
 
         # 5. Normalize the gaussian transformed image to give C_i.

sunkit_image/tests/conftest.py

@@ -155,7 +155,6 @@ def granule_minimap3():
 
 
 @pytest.fixture(params=["array", "map"])
-@pytest.mark.remote_data()
 def aia_171(request):
     smap = sunpy.map.Map(sunpy.data.sample.AIA_171_IMAGE)
     if request.param == "map":

sunkit_image/tests/test_radial.py

@@ -167,7 +167,6 @@ def test_fnrgf(map_test1, map_test2, radial_bin_edges):
 
 
 @pytest.fixture()
-@pytest.mark.remote_data()
 def smap():
     return sunpy.map.Map(sunpy.data.sample.AIA_171_IMAGE)
 

sunkit_image/tests/test_trace.py

@@ -20,7 +20,6 @@
 
 
 @pytest.fixture(params=["array", "map"])
-@pytest.mark.remote_data()
 def image_remote(request):
     with warnings.catch_warnings():
         warnings.simplefilter("ignore", category=fits.verify.VerifyWarning)

sunkit_image/utils/tests/test_utils.py

@@ -11,7 +11,6 @@
 
 
 @pytest.fixture()
-@pytest.mark.remote_data()
 def smap():
     import sunpy.data.sample
     from sunpy.data.sample import AIA_171_IMAGE