flake8 for tensor/utils.py

theano/tensor/utils.py

@@ -79,11 +79,11 @@ def shape_of_variables(fgraph, input_shapes):
     if not hasattr(fgraph, 'shape_feature'):
         fgraph.attach_feature(theano.tensor.opt.ShapeFeature())
 
-    input_dims  = [dimension for inp in fgraph.inputs
-                             for dimension in fgraph.shape_feature.shape_of[inp]]
+    input_dims = [dimension for inp in fgraph.inputs
+                  for dimension in fgraph.shape_feature.shape_of[inp]]
 
     output_dims = [dimension for shape in fgraph.shape_feature.shape_of.values()
-                             for dimension in shape]
+                   for dimension in shape]
 
     compute_shapes = theano.function(input_dims, output_dims)
 
@@ -93,8 +93,8 @@ def shape_of_variables(fgraph, input_shapes):
             " interface changed. Now by default, it clones the graph it receives."
             " To have the old behavior, give it this new parameter `clone=False`.")
 
-    numeric_input_dims  = [dim for inp in fgraph.inputs
-                               for dim in input_shapes[inp]]
+    numeric_input_dims = [dim for inp in fgraph.inputs
+                          for dim in input_shapes[inp]]
     numeric_output_dims = compute_shapes(*numeric_input_dims)
 
     sym_to_num_dict = dict(izip(output_dims, numeric_output_dims))

theano/tests/test_flake8.py

@@ -58,7 +58,6 @@ whitelist_flake8 = [
     "typed_list/tests/test_opt.py",
     "typed_list/tests/test_basic.py",
     "tensor/blas_headers.py",
-    "tensor/utils.py",
     "tensor/type.py",
     "tensor/fourier.py",
     "tensor/sort.py",