Replace theano.tensor alias T with tt in theano.typed_list

theano/typed_list/basic.py

 import numpy as np
 
-from .type import TypedListType
 import theano
+import theano.tensor as tt
+
+from theano.typed_list.type import TypedListType
 from theano.gof import Apply, Constant, Op, Variable
 from theano.tensor.type_other import SliceType
-from theano import tensor as T
 from theano.compile.debugmode import _lessbroken_deepcopy
 
 
@@ -74,11 +75,11 @@ class GetItem(Op):
                 index = Constant(SliceType(), index)
                 return Apply(self, [x, index], [x.type()])
             else:
-                index = T.constant(index, ndim=0, dtype="int64")
+                index = tt.constant(index, ndim=0, dtype="int64")
                 return Apply(self, [x, index], [x.ttype()])
         if isinstance(index.type, SliceType):
             return Apply(self, [x, index], [x.type()])
-        elif isinstance(index, T.TensorVariable) and index.ndim == 0:
+        elif isinstance(index, tt.TensorVariable) and index.ndim == 0:
             assert index.dtype == "int64"
             return Apply(self, [x, index], [x.ttype()])
         else:
@@ -325,10 +326,10 @@ class Insert(Op):
         assert isinstance(x.type, TypedListType)
         assert x.ttype == toInsert.type
         if not isinstance(index, Variable):
-            index = T.constant(index, ndim=0, dtype="int64")
+            index = tt.constant(index, ndim=0, dtype="int64")
         else:
             assert index.dtype == "int64"
-            assert isinstance(index, T.TensorVariable) and index.ndim == 0
+            assert isinstance(index, tt.TensorVariable) and index.ndim == 0
         return Apply(self, [x, index, toInsert], [x.type()])
 
     def perform(self, node, inputs, outputs):
@@ -536,7 +537,7 @@ class Index(Op):
     def make_node(self, x, elem):
         assert isinstance(x.type, TypedListType)
         assert x.ttype == elem.type
-        return Apply(self, [x, elem], [T.scalar()])
+        return Apply(self, [x, elem], [tt.scalar()])
 
     def perform(self, node, inputs, outputs):
         """
@@ -565,7 +566,7 @@ class Count(Op):
     def make_node(self, x, elem):
         assert isinstance(x.type, TypedListType)
         assert x.ttype == elem.type
-        return Apply(self, [x, elem], [T.scalar()])
+        return Apply(self, [x, elem], [tt.scalar()])
 
     def perform(self, node, inputs, outputs):
         """
@@ -611,7 +612,7 @@ class Length(Op):
 
     def make_node(self, x):
         assert isinstance(x.type, TypedListType)
-        return Apply(self, [x], [T.scalar(dtype="int64")])
+        return Apply(self, [x], [tt.scalar(dtype="int64")])
 
     def perform(self, node, x, outputs):
         (out,) = outputs
@@ -658,7 +659,7 @@ class MakeList(Op):
         a2 = []
         for elem in a:
             if not isinstance(elem, theano.gof.Variable):
-                elem = theano.tensor.as_tensor_variable(elem)
+                elem = tt.as_tensor_variable(elem)
             a2.append(elem)
         if not all(a2[0].type == elem.type for elem in a2):
             raise TypeError("MakeList need all input variable to be of the same type.")