pep8

theano/tensor/subtensor.py

@@ -64,6 +64,7 @@ def make_constant(args):
                 return a
     return tuple(map(conv, args))
 
+
 def get_idx_list(inputs, idx_list):
     '''
     Given a list of inputs to the subtensor and its idx_list reorders
@@ -395,6 +396,7 @@ class Subtensor(Op):
             NotScalarConstantError: v
         """
         real_idx = get_idx_list(inputs, self.idx_list)
+
         def conv(val):
             if val is None:
                 return None
@@ -441,7 +443,8 @@ class Subtensor(Op):
             raise exception
 
         input_types = Subtensor.collapse(idx_list,
-                lambda entry: isinstance(entry, gof.Type))
+                                         lambda entry: isinstance(entry,
+                                                                  gof.Type))
         if len(inputs) != len(input_types):
             raise IndexError(
                 "Not enough inputs to fill in the Subtensor template.",
@@ -693,7 +696,7 @@ class Subtensor(Op):
         npy_intp xview_dims[%(view_ndim)s];
         npy_intp xview_strides[%(view_ndim)s];
 
-        """% locals()
+        """ % locals()
         else:
             rval = """
         // Argument of the view
@@ -987,7 +990,8 @@ def inc_subtensor(x, y, inplace=False, set_instead_of_inc=False,
 
     if y.ndim > x.ndim:
         raise TypeError(("Trying to increment a %d-dimensional "
-            "subtensor with a %d-dimensional value.") % (x.ndim, y.ndim))
+                         "subtensor with a %d-dimensional value.") % (x.ndim,
+                                                                      y.ndim))
 
     for dim in range(y.ndim):
         dim_offset = x.ndim - y.ndim
@@ -1042,7 +1046,8 @@ def inc_subtensor(x, y, inplace=False, set_instead_of_inc=False,
         # return something that has the same shape as x, not as x.T (inner_x).
         # So re-apply the outer dimshuffle on the new inc_subtensor,
         # and return advanced_inc_subtensor1(x.T, i, y).T.
-        inner_incsubtensor = inc_subtensor(inner_x, y,
+        inner_incsubtensor = inc_subtensor(
+            inner_x, y,
             inplace=inplace,
             set_instead_of_inc=set_instead_of_inc,
             tolerate_inplace_aliasing=tolerate_inplace_aliasing)
@@ -1052,7 +1057,8 @@ def inc_subtensor(x, y, inplace=False, set_instead_of_inc=False,
         # Try to apply inc_subtensor on inner_x.
         # If it works, there is no need to reshape, as the inc_subtensor
         # will have the same shape as inner_x, which is what we want.
-        inner_incsubtensor = inc_subtensor(inner_x, y.flatten(),
+        inner_incsubtensor = inc_subtensor(
+            inner_x, y.flatten(),
             inplace=inplace,
             set_instead_of_inc=set_instead_of_inc,
             tolerate_inplace_aliasing=tolerate_inplace_aliasing)
@@ -1138,8 +1144,8 @@ class IncSubtensor(Op):
         x, y = map(theano.tensor.as_tensor_variable, [x, y])
         if y.ndim > x.ndim:
             raise ValueError(("Trying to increment a %d-dimensional "
-                "subtensor with a %d-dimensional value.") % (x.ndim,
-                    y.ndim))
+                              "subtensor with a %d-dimensional value.") % (
+                                  x.ndim, y.ndim))
         inputs = tuple(map(Subtensor.my_as_scalar, inputs))
 
         idx_list = list(self.idx_list)
@@ -1151,7 +1157,8 @@ class IncSubtensor(Op):
             exception.subtensor_invalid = True
             raise exception
 
-        input_types = Subtensor.collapse(idx_list,
+        input_types = Subtensor.collapse(
+            idx_list,
             lambda entry: isinstance(entry, gof.Type))
         if len(inputs) != len(input_types):
             raise IndexError(