Fixed comparisons with None which were displayed during the test run

theano/tensor/opt.py

@@ -1935,11 +1935,11 @@ def local_useless_subtensor(node):
                 # If idx is not a slice, this means we remove this dimension
                 # from the output, so the subtensor is not useless
                 return False
-            if idx.start not in [0, None]:
+            if idx.start is not None and idx.start != 0:
                 # If the start of the slice is different from 0, or is a
                 # variable, then we assume the subtensor is not useless
                 return False
-            if idx.step not in [1, None]:
+            if idx.step is not None and idx.step != 1:
                 # If we are going backwards, or skipping elements, then this
                 # is not a useless subtensor
                 return False
@@ -2543,9 +2543,9 @@ def local_setsubtensor_of_constants(node):
         except NotScalarConstantError:
             pass
 
-        if (replace_x == replace_y and
-            replace_x is not None and
-            replace_y is not None):
+        if (replace_x is not None and
+            replace_y is not None and
+            replace_x == replace_y):
             return [x]
         else:
             return False

theano/tensor/subtensor.py

@@ -141,7 +141,7 @@ def get_canonical_form_slice(theslice, length):
                 (is_start_constant and is_length_constant and
                  start < 0 and start + length <= 0))
             is_stop_length = (
-                stop in [None, length, maxsize] or
+                stop is None or stop in [length, maxsize] or
                 (is_stop_constant and is_length_constant and
                  stop >= length))
             if is_start_0:
@@ -217,7 +217,7 @@ def get_canonical_form_slice(theslice, length):
             start = switch(ge(start, length),
                            switch_neg_step(length - 1, length),
                            start)
-        if stop in [None, maxsize]:
+        if stop is None or stop == maxsize:
             # The special "maxsize" case is probably not needed here,
             # as slices containing maxsize are not generated by
             # __getslice__ anymore.
@@ -478,7 +478,7 @@ class Subtensor(Op):
                         start = get_scalar_constant_value(start)
                     except NotScalarConstantError:
                         pass
-                    if start in [None, 0]:
+                    if start is None or start == 0:
                         start = p.start
                         if start is None:
                             start = 0

theano/tensor/var.py

@@ -369,7 +369,7 @@ class _tensor_py_operators:
         axis = None
         for i, arg in enumerate(args):
             try:
-                if arg != numpy.newaxis:
+                if arg is not numpy.newaxis:
                     theano.tensor.subtensor.Subtensor.convert(arg)
             except theano.tensor.subtensor.AdvancedIndexingError:
                 if advanced: