Issue #783: python3 compatible.

theano/__init__.py

@@ -46,7 +46,7 @@ from theano.gof import \
      Container, \
      InconsistencyError, FunctionGraph, \
      Apply, Variable, Constant, \
-    Op, OpenMPOp, \
+     Op, OpenMPOp,\
      opt, \
      toolbox, \
      Type, Generic, generic, \
@@ -83,17 +83,15 @@ from theano.gradient import Rop, Lop, grad
 
 if config.device.startswith('gpu') or config.init_gpu_device.startswith('gpu'):
     import theano.sandbox.cuda
-    # We can't test the driver during import of theano.sandbox.cuda as
-    # this cause circular import dependency. So we also test it manually
-    # after the import
+# We can't test the driver during import of theano.sandbox.cuda as
+# this cause circular import dependency. So we also test it manually
+# after the import
     if theano.sandbox.cuda.cuda_available:
         import theano.sandbox.cuda.tests.test_driver
-
         theano.sandbox.cuda.tests.test_driver.test_nvidia_driver1()
 
 # Use config.numpy to call numpy.seterr
 import numpy
-
 if config.numpy.seterr_all == 'None':
     _all = None
 else:
@@ -171,17 +169,8 @@ def get_scalar_constant_value(v):
 try:
     from theano.tests import TheanoNoseTester
 except ImportError:
+    def test():
         raise ImportError("The nose module is not installed."
                           " It is needed for Theano tests.")
 else:
     test = TheanoNoseTester().test
-
-# This cannot be done in tensor/__init__.py due to a circular dependency -- randomstreams
-# depends on raw_random which depends on tensor.  As a work-around, we import RandomStreams
-# here and inject an instance in tensor.
-from theano import tensor
-from theano.tensor.randomstreams import RandomStreams
-# Imitate the numpy.random symbol with a tensor.random one
-tensor.random = RandomStreams(seed=0xBAD5EED, no_warn=True)
-del RandomStreams
-__import__('theano.tensor.shared_randomstreams')
\ No newline at end of file

theano/sparse/sharedvar.py

@@ -2,6 +2,10 @@ import copy
 import scipy.sparse
 from theano.compile import shared_constructor, SharedVariable
 from theano.sparse.basic import SparseType, _sparse_py_operators
+<<<<<<< HEAD
+
+=======
+>>>>>>> 443c0ad... Replaced relative import with absolute.
 
 
 class SparseTensorSharedVariable(_sparse_py_operators, SharedVariable):

theano/tensor/tests/test_naacl09.py

@@ -66,7 +66,7 @@ class QuadraticDenoisingAA(module.Module):
         """
         super(QuadraticDenoisingAA, self).__init__()
 
-        self.random = T.RandomStreams()
+        self.random = T.randomstreams.RandomStreams()
 
         # MODEL CONFIGURATION
 #        self.regularize = regularize