PEP8 reformat.

theano/sparse/sharedvar.py

@@ -3,23 +3,26 @@ import scipy.sparse
 from theano.compile import shared_constructor, SharedVariable
 from theano.sparse.basic import SparseType, _sparse_py_operators
 
+
 class SparseTensorSharedVariable(_sparse_py_operators, SharedVariable):
     pass
 
+
 @shared_constructor
 def sparse_constructor(value, name=None, strict=False, allow_downcast=None,
-        borrow=False, format = None):
+                       borrow=False, format=None):
     """SharedVariable Constructor for SparseType
 
     writeme
     """
     if not isinstance(value, scipy.sparse.spmatrix):
-        raise TypeError("Expected a sparse matrix in the sparse shared variable constructor. Received: ",value.__class__)
+        raise TypeError("Expected a sparse matrix in the sparse shared variable constructor. Received: ",
+                        value.__class__)
 
     if format is None:
         format = value.format
-    type = SparseType(format =format, dtype = value.dtype)
+    type = SparseType(format=format, dtype=value.dtype)
     if not borrow:
         value = copy.deepcopy(value)
     return SparseTensorSharedVariable(type=type, value=value, name=name,
-            strict=strict, allow_downcast=allow_downcast)
+                                      strict=strict, allow_downcast=allow_downcast)