removed duplicates

benchmark/autoencoder/aa.py

-from __future__ import absolute_import, print_function, division
 #!/usr/bin/env python
-from __future__ import print_function
-from __future__ import absolute_import
+from __future__ import absolute_import, print_function, division
 import numpy
 import sys
 import time

benchmark/autoencoder/aa_numpy.py

-from __future__ import absolute_import, print_function, division
 #!/usr/bin/env python
-from __future__ import print_function
-from __future__ import absolute_import
+from __future__ import absolute_import, print_function, division
 import numpy as N
 import sys
 import time

benchmark/convolution/conv2d.py

 from __future__ import absolute_import, print_function, division
-from __future__ import print_function
 import sys, timeit, time
 import numpy
 import theano, theano.tensor.signal.conv

benchmark/convolution/opencv.py

 from __future__ import absolute_import, print_function, division
-from __future__ import print_function
 import sys, timeit
 import numpy
 import scikits.image.opencv

benchmark/convolution/scipy_conv.py

 from __future__ import absolute_import, print_function, division
-from __future__ import print_function
 import sys, timeit
 try:
     img_shape =  int(sys.argv[1]), int(sys.argv[2])

benchmark/numexpr/gen_graph.py

 from __future__ import absolute_import, print_function, division
-from __future__ import print_function
 import numpy as np
 import numexpr as ne
 import timeit

benchmark/regression/regression.py

 from __future__ import absolute_import, print_function, division
-from __future__ import print_function
 import theano
 import numpy as N
 from theano import tensor as T

doc/conf.py

-from __future__ import absolute_import, print_function, division
 # -*- coding: utf-8 -*-
 #
 # theano documentation build configuration file, created by
@@ -18,6 +17,9 @@ from __future__ import absolute_import, print_function, division
 # is relative to the documentation root, use os.path.abspath to make it
 # absolute, like shown here.
 #sys.path.append(os.path.abspath('some/directory'))
+
+from __future__ import absolute_import, print_function, division
+
 import os
 import sys
 theano_path = os.path.join(os.path.dirname(__file__), os.pardir)

doc/crei2013/ifelse_switch.py

 from __future__ import absolute_import, print_function, division
-from __future__ import print_function
 import time
 
 import numpy

doc/crei2013/logreg.py

 from __future__ import absolute_import, print_function, division
-from __future__ import print_function
 import numpy
 import theano
 import theano.tensor as tt

doc/crei2013/scan_poly.py

 from __future__ import absolute_import, print_function, division
-from __future__ import print_function
 import numpy
 
 import theano

doc/crei2013/scan_pow.py

 from __future__ import absolute_import, print_function, division
-from __future__ import print_function
 import theano
 import theano.tensor as tt
 from six.moves import xrange

doc/extending/extending_theano_solution_1.py

-from __future__ import absolute_import, print_function, division
 #!/usr/bin/env python
 # Theano tutorial
 # Solution to Exercise in section 'Extending Theano'
+from __future__ import absolute_import, print_function, division
+
 import unittest
 
 import theano

doc/generate_dtype_tensor_table.py

 from __future__ import absolute_import, print_function, division
-from __future__ import print_function
 
 letters = [
     ('b', 'int8'),

doc/hpcs2011_tutorial/double_op.py

 from __future__ import absolute_import, print_function, division
-from __future__ import print_function
 import numpy
 import theano
 

doc/hpcs2011_tutorial/logreg_example.py

 from __future__ import absolute_import, print_function, division
-from __future__ import print_function
 import numpy
 import theano
 import theano.tensor as T

doc/hpcs2011_tutorial/pycuda_double_op.py

 from __future__ import absolute_import, print_function, division
-from __future__ import print_function
 import numpy, theano
 import theano.misc.pycuda_init
 from pycuda.compiler import SourceModule

doc/hpcs2011_tutorial/pycuda_simple.py

 from __future__ import absolute_import, print_function, division
-from __future__ import print_function
 import pycuda.autoinit
 import pycuda.driver as drv
 import numpy

doc/hpcs2011_tutorial/scan_poly.py

 from __future__ import absolute_import, print_function, division
-from __future__ import print_function
 import numpy
 
 import theano

doc/hpcs2011_tutorial/scan_pow.py

 from __future__ import absolute_import, print_function, division
-from __future__ import print_function
 import theano
 import theano.tensor as T
 from six.moves import xrange

doc/hpcs2011_tutorial/simple_example.py

 from __future__ import absolute_import, print_function, division
-from __future__ import print_function
 import theano
 a = theano.tensor.vector("a") # declare variable
 b = a + a**10                 # build symbolic expression

doc/omlw2014/logreg.py

 from __future__ import absolute_import, print_function, division
-from __future__ import print_function
 import numpy
 import theano
 import theano.tensor as tt

doc/scripts/docgen.py

 from __future__ import absolute_import, print_function, division
-from __future__ import print_function
-
 import sys
 import os
 import shutil

doc/tutorial/adding_solution_1.py

-from __future__ import absolute_import, print_function, division
 #!/usr/bin/env python
 # Theano tutorial
 # Solution to Exercise in section 'Baby Steps - Algebra'
 
-from __future__ import print_function
+from __future__ import absolute_import, print_function, division
 import theano
 a = theano.tensor.vector()  # declare variable
 b = theano.tensor.vector()  # declare variable

doc/tutorial/loop_solution_1.py

-from __future__ import absolute_import, print_function, division
 #!/usr/bin/env python
 # Theano tutorial
 # Solution to Exercise in section 'Loop'
-from __future__ import print_function
+from __future__ import absolute_import, print_function, division
 import numpy
 
 import theano

doc/tutorial/modes_solution_1.py

-from __future__ import absolute_import, print_function, division
 #!/usr/bin/env python
 # Theano tutorial
 # Solution to Exercise in section 'Configuration Settings and Compiling Modes'
 
-from __future__ import print_function
+from __future__ import absolute_import, print_function, division
 import numpy
 import theano
 import theano.tensor as tt

doc/tutorial/using_gpu_solution_1.py

-from __future__ import absolute_import, print_function, division
 #!/usr/bin/env python
 # Theano tutorial
 # Solution to Exercise in section 'Using the GPU'
@@ -7,7 +6,7 @@ from __future__ import absolute_import, print_function, division
 # 1. Raw results
 
 
-from __future__ import print_function
+from __future__ import absolute_import, print_function, division
 import numpy
 import theano
 import theano.tensor as tt

setup.py

-from __future__ import absolute_import, print_function, division
 #!/usr/bin/env python
 #
 #  TODO:
 #   * Figure out how to compile and install documentation automatically
 #   * Add download_url
 
+from __future__ import absolute_import, print_function, division
 import os
 import subprocess
 import codecs

theano/compile/pfunc.py

@@ -8,7 +8,6 @@ import warnings
 from theano import config
 from six import iteritems
 
-from theano import config
 from theano.compile import orig_function, In, Out
 from theano.compile import UnusedInputError
 from theano.compile.sharedvalue import SharedVariable, shared

theano/compile/profiling.py

-from __future__ import absolute_import, print_function, division
 """
 ProfileStats object for runtime and memory profiling.
 
@@ -10,6 +9,8 @@ ProfileStats object for runtime and memory profiling.
 # TODO: ensure field width for string fields makes columns line up
 # TODO: what to do about 'diff summary'? (ask Fred?)
 #
+from __future__ import absolute_import, print_function, division
+
 __authors__ = "James Bergstra"
 __reviewer__ = "Razvan Pascanu"
 __copyright__ = "(c) 2011, Universite de Montreal"
@@ -17,6 +18,7 @@ __license__ = "3-clause BSD License"
 __contact__ = "theano-dev <theano-dev@googlegroups.com>"
 
 __docformat__ = "restructuredtext en"
+
 import atexit
 import copy
 import os

theano/misc/hooks/reindent.py

-from __future__ import absolute_import, print_function, division
 #! /usr/bin/env python
 
 # Released to the public domain, by Tim Peters, 03 October 2000.
@@ -40,6 +39,8 @@ user/group and permissions could leave the backup file more readable that
 you'd prefer. You can always use the --nobackup option to prevent this.
 """
 
+from __future__ import absolute_import, print_function, division
+
 __version__ = "1"
 
 import tokenize

theano/sandbox/cuda/tests/test_basic_ops.py

 from __future__ import absolute_import, print_function, division
-from __future__ import print_function
 import time
 import unittest
 

theano/sandbox/cuda/tests/test_bench_loopfusion.py

-from __future__ import absolute_import, print_function, division
 """
 This file is based on hpu.nns.driver_kouh of Oct 22 2009.
 
 It is meant to be used to benchmark loop fusion optimizations.
 
 """
-from __future__ import print_function
+from __future__ import absolute_import, print_function, division
 # this experiments are designed to use file-based configuration
 # rather than db-based configuration.
 # so state is ignored

theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py

-from __future__ import absolute_import, print_function, division
 """
 Tests for GPU convolution
 """
-from __future__ import print_function
+from __future__ import absolute_import, print_function, division
 import sys
 import time
 import unittest

theano/sandbox/cuda/tests/test_cuda_ndarray.py

 from __future__ import absolute_import, print_function, division
-from __future__ import print_function
 import time, copy, sys, unittest
 # Skip test if cuda_ndarray is not available.
 from nose.plugins.skip import SkipTest

theano/sandbox/cuda/tests/test_extra_ops.py

-from __future__ import absolute_import, print_function, division
 # Skip test if cuda_ndarray is not available.
+from __future__ import absolute_import, print_function, division
 import itertools
 
 from nose.plugins.skip import SkipTest

theano/sandbox/cuda/tests/test_memory.py

 from __future__ import absolute_import, print_function, division
-from __future__ import print_function
 import copy
 import gc
 

theano/sandbox/cuda/tests/test_mlp.py

 from __future__ import absolute_import, print_function, division
-from __future__ import print_function
 import copy
 import logging
 import time

theano/sandbox/cuda/tests/test_neighbours.py

-from __future__ import absolute_import, print_function, division
 # Skip test if cuda_ndarray is not available.
+from __future__ import absolute_import, print_function, division
 from nose.plugins.skip import SkipTest
 
 import theano.sandbox.cuda as cuda_ndarray

theano/sandbox/cuda/tests/test_nnet.py

 from __future__ import absolute_import, print_function, division
-from __future__ import print_function
 from nose.plugins.skip import SkipTest
 import numpy
 import unittest

theano/sandbox/cuda/tests/test_opt.py

 from __future__ import absolute_import, print_function, division
-from __future__ import print_function
 import operator
 import sys
 import unittest

theano/sandbox/cuda/tests/test_rng_curand.py

 from __future__ import absolute_import, print_function, division
-from __future__ import print_function
 import numpy
 import theano
 from theano.tensor import constant

theano/sandbox/cuda/tests/test_tensor_op.py

-from __future__ import absolute_import, print_function, division
 """
 This file test tensor op that should also operate on CudaNdaray.
 """
+from __future__ import absolute_import, print_function, division
 import copy
 from nose.plugins.skip import SkipTest
 

theano/sandbox/fourier.py

-from __future__ import absolute_import, print_function, division
 """
 Provides Ops for FFT and DCT.
 
 """
+
+from __future__ import absolute_import, print_function, division
 import numpy
 import numpy.fft
 

theano/tensor/nnet/tests/speed_test_conv.py

 from __future__ import absolute_import, print_function, division
-from __future__ import print_function
 import sys, time, unittest
 
 import numpy

theano/tensor/nnet/tests/test_bn.py

-from __future__ import absolute_import, print_function, division
-
 from __future__ import absolute_import, print_function, division
 import theano
 from theano.tests import unittest_tools as utt

theano/tensor/nnet/tests/test_conv.py

 from __future__ import absolute_import, print_function, division
-from __future__ import absolute_import, print_function, division
 import time
 
 from nose.plugins.skip import SkipTest

theano/tensor/nnet/tests/test_conv3d.py

 from __future__ import absolute_import, print_function, division
-from __future__ import absolute_import, print_function, division
 import unittest
 import theano
 import theano.tensor as T

theano/tensor/nnet/tests/test_conv3d2d.py

-from __future__ import absolute_import, print_function, division
-
 from __future__ import absolute_import, print_function, division
 import time
 

theano/tensor/nnet/tests/test_corr.py

 from __future__ import absolute_import, print_function, division
-from __future__ import absolute_import, print_function, division
 
 from nose.plugins.skip import SkipTest
 from nose.plugins.attrib import attr

theano/tensor/nnet/tests/test_neighbours.py

 from __future__ import absolute_import, print_function, division
-from __future__ import absolute_import, print_function, division
 from nose.plugins.skip import SkipTest
 import numpy
 import unittest

theano/tensor/nnet/tests/test_nnet.py

-from __future__ import absolute_import, print_function, division
-
 from __future__ import absolute_import, print_function, division
 import unittest
 

theano/tensor/nnet/tests/test_opt.py

 from __future__ import absolute_import, print_function, division
-from __future__ import absolute_import, print_function, division
 import theano
 from theano import tensor
 from theano.tensor.nnet.blocksparse import sparse_block_dot

theano/tensor/nnet/tests/test_sigm.py

 from __future__ import absolute_import, print_function, division
-from __future__ import absolute_import, print_function, division
 import unittest
 
 import numpy

theano/tensor/opt.py

@@ -2,7 +2,6 @@ from __future__ import absolute_import, print_function, division
 """
 Tensor optimizations addressing the ops in basic.py.
 """
-from __future__ import print_function
 # TODO: intelligent merge for mul/add
 # TODO: 0*x -> 0