flake8 for tensor/sharedvar.py

theano/tensor/sharedvar.py

@@ -41,10 +41,10 @@ def tensor_constructor(value, name=None, strict=False, allow_downcast=None,
         broadcastable = (False,) * len(value.shape)
     type = TensorType(value.dtype, broadcastable=broadcastable)
     return TensorSharedVariable(type=type,
-            value=numpy.array(value, copy=(not borrow)),
-            name=name,
-            strict=strict,
-            allow_downcast=allow_downcast)
+                                value=numpy.array(value, copy=(not borrow)),
+                                name=name,
+                                strict=strict,
+                                allow_downcast=allow_downcast)
 
 
 # TensorSharedVariable brings in the tensor operators, is not ideal, but works
@@ -85,8 +85,10 @@ def scalar_constructor(value, name=None, strict=False, allow_downcast=None,
         # Do not pass the dtype to asarray because we want this to fail if
         # strict is True and the types do not match.
         rval = ScalarSharedVariable(type=tensor_type,
-                value=numpy.array(value, copy=True),
-                name=name, strict=strict, allow_downcast=allow_downcast)
+                                    value=numpy.array(value, copy=True),
+                                    name=name,
+                                    strict=strict,
+                                    allow_downcast=allow_downcast)
         return rval
     except Exception:
         traceback.print_exc()

theano/tests/test_flake8.py

@@ -57,7 +57,6 @@ whitelist_flake8 = [
     "typed_list/tests/test_type.py",
     "typed_list/tests/test_opt.py",
     "typed_list/tests/test_basic.py",
-    "tensor/sharedvar.py",
     "tensor/inplace.py",
     "tensor/slinalg.py",
     "tensor/shared_randomstreams.py",