Merge pull request #581 from DimitriPapadopoulos/FURB

effigies · web-flow · commit 4d033ed28f9e · 2024-10-06T08:18:30.000-04:00
Apply ruff/refurb preview rules (FURB)
diff --git a/nipy/algorithms/utils/pca.py b/nipy/algorithms/utils/pca.py
@@ -216,7 +216,7 @@ def _get_covariance(data, UX, rmse_scales_func, mask):
         # If we have more then 2D, then we iterate over slices in the second
         # dimension, in order to save memory
         slices = [slice(i,i+1) for i in range(data.shape[1])]
-    for i, s_slice in enumerate(slices):
+    for s_slice in slices:
         Y = data[:,s_slice].reshape((n_pts, -1))
         # project data into required space
         YX = np.dot(UX, Y)
diff --git a/nipy/algorithms/utils/tests/test_pca_image.py b/nipy/algorithms/utils/tests/test_pca_image.py
@@ -302,7 +302,7 @@ def test_other_axes(data_dict):
         assert_almost_equal(pos_dp['basis_vectors'], pos_p[bv_key])
         assert_almost_equal(pos_dp['basis_projections'], img_bps.get_fdata())
         # And we've replaced the expected axis
-        exp_coords = in_coords[:]
+        exp_coords = in_coords.copy()
         exp_coords[exp_coords.index(axis_name)] = 'PCA components'
         assert img_bps.axes.coord_names == tuple(exp_coords)
     # If the affine is not diagonal, we'll get an error
@@ -323,6 +323,6 @@ def test_other_axes(data_dict):
         pytest.raises(AxisError, pca_image, nd_img, axis_name)
     for axis_name in 'kt':
         p = pca_image(img, axis_name, ncomp=ncomp)
-        exp_coords = in_coords[:]
+        exp_coords = in_coords.copy()
         exp_coords[exp_coords.index(axis_name)] = 'PCA components'
         assert p['basis_projections'].axes.coord_names == tuple(exp_coords)
diff --git a/nipy/core/utils/generators.py b/nipy/core/utils/generators.py
@@ -182,7 +182,7 @@ def slice_generator(data, axis=0):
     slice_template = [slice(0, s) for s in data.shape]
 
     for n in range(nmax):
-        slices = slice_template[:]
+        slices = slice_template.copy()
         for (a, div, mod) in zip(axis, divs, mods):
             x = int(n / div % mod)
             slices[a] = x
diff --git a/nipy/labs/mask.py b/nipy/labs/mask.py
@@ -293,7 +293,7 @@ def compute_mask_sessions(session_images, m=0.2, M=0.9, cc=1, threshold=0.5,
         The mean image
     """
     mask, mean = None, None
-    for index, session in enumerate(session_images):
+    for session in session_images:
         if hasattr(session, 'get_fdata'):
             mean = session.get_fdata()
             if mean.ndim > 3:
diff --git a/nipy/modalities/fmri/tests/test_glm.py b/nipy/modalities/fmri/tests/test_glm.py
@@ -37,7 +37,7 @@ def write_fake_fmri_data(shapes, rk=3, affine=np.eye(4)):
 def generate_fake_fmri_data(shapes, rk=3, affine=np.eye(4)):
     fmri_data = []
     design_matrices = []
-    for i, shape in enumerate(shapes):
+    for shape in shapes:
         data = 100 + np.random.randn(*shape)
         data[0] -= 10
         fmri_data.append(Nifti1Image(data, affine))
