Removed trailing spaces

theano/compile/io.py

@@ -8,11 +8,11 @@ class SymbolicInput(object):
     """
     Represents a symbolic input for use with function or FunctionMaker.
 
-    variable: a Variable instance. 
+    variable: a Variable instance.
         This will be assigned a value before running the function,
         not computed from its owner.
 
-    name: Any type. (If autoname=True, defaults to variable.name). 
+    name: Any type. (If autoname=True, defaults to variable.name).
         If name is a valid Python identifier, this input can be set by kwarg, and its value
         can be accessed by self.<name>.
 
@@ -41,9 +41,9 @@ class SymbolicInput(object):
         assert implicit is not None # Safety check.
         self.variable = variable
         if  (autoname and name is None):
-          self.name = variable.name
+            self.name = variable.name
         else:
-          self.name = name
+            self.name = name
 
         #backport
         #self.name = variable.name if (autoname and name is None) else name
@@ -131,11 +131,11 @@ class In(SymbolicInput):
     """
     Represents a symbolic input for use with function or FunctionMaker.
 
-    variable: a Variable instance. 
+    variable: a Variable instance.
         This will be assigned a value before running the function,
         not computed from its owner.
 
-    name: Any type. (If autoname=True, defaults to variable.name). 
+    name: Any type. (If autoname=True, defaults to variable.name).
         If name is a valid Python identifier, this input can be set by kwarg, and its value
         can be accessed by self.<name>.
 
@@ -194,7 +194,7 @@ class SymbolicOutput(object):
             returned for this output might be clobbered by running
             the function again, but the function might be faster.
     """
-    
+
     def __init__(self, variable, borrow=False):
         self.variable = variable
         self.borrow = borrow

theano/tensor/basic.py

@@ -898,24 +898,24 @@ class _tensor_py_operators:
 
     #COMPARISONS
     _is_nonzero = True
-    def __lt__(self,other): 
+    def __lt__(self,other):
         rval = lt(self, other)
         rval._is_nonzero=False
         return rval
-    def __le__(self,other): 
+    def __le__(self,other):
         rval =  le(self, other)
         rval._is_nonzero=False
         return rval
-    def __gt__(self,other): 
+    def __gt__(self,other):
         rval = gt(self, other)
         rval._is_nonzero=False
         return rval
-    def __ge__(self,other): 
+    def __ge__(self,other):
         rval = ge(self, other)
         rval._is_nonzero=False
         return rval
     def __nonzero__(self):
-        # This is meant to prohibit stuff like a < b < c, which is internally implemented as 
+        # This is meant to prohibit stuff like a < b < c, which is internally implemented as
         # (a < b) and (b < c). The trouble with this is the side-effect that checking for a
         # non-NULL a by typing "if a: ..." uses the same __nonzero__ method.  We want these
         # both to work, but it seems impossible.  Currently, all vars evaluate to nonzero
@@ -3962,7 +3962,7 @@ def tensordot(x, y, axes=2):
         raise ValueError('Cannot perform tensordot of 0-d inputs.')
 
     axes = TensorDot.parse_axes(axes)
-    
+
     # check whether axes is valid given the dimensions of x and y
     if numpy.isscalar(axes):
         if axes >= x.ndim or axes >= y.ndim:
@@ -3979,12 +3979,12 @@ def tensordot(x, y, axes=2):
         if isinstance(axes[1],(list,tuple)) and \
            (len(axes[1]) > y.ndim or (numpy.array(axes[1]) >= y.ndim).any()):
             raise ValueError('axes[1] should be array_like, of length smaller'\
-                    'than the dimension of y (y.ndim=%i, len(axes[1])=%i).' % 
+                    'than the dimension of y (y.ndim=%i, len(axes[1])=%i).' %
                     (y.ndim, len(axes[1])))
 
     if not hasattr(tensordot, 'op'):
         tensordot.op = {}
-    
+
     if axes not in tensordot.op:
         tensordot.op[axes] = TensorDot(axes)