Replaced plain StringIO with the one from six.py.

theano/compile/debugmode.py

@@ -7,13 +7,13 @@ __docformat__ = "restructuredtext en"
 
 import copy, sys, copy_reg, gc
 from itertools import izip
-from StringIO import StringIO
 
 import numpy
 
 import theano
 from theano import gof
 from theano.compat import get_unbound_function
+from theano.compat.six import StringIO
 from theano.gof import FunctionGraph,graph, utils, link, ops_with_inner_function
 from theano.gof.link import raise_with_op
 from theano.gof.cc import CLinker

theano/compile/tests/test_module.py

@@ -720,9 +720,10 @@ def test_pickle_aliased_memory():
     m.x[0,0] = 3.14
     assert m.y[0,0] == 3.14
 
-    import StringIO, logging
+    import logging
+    from theano.compat.six import StringIO
 
-    sio = StringIO.StringIO()
+    sio = StringIO()
     handler = logging.StreamHandler(sio)
     logging.getLogger('theano.compile.function_module').addHandler(handler)
     # Silence original handler when intentionnally generating warning messages

theano/configparser.py

@@ -7,7 +7,7 @@ import os
 import sys
 import warnings
 
-import StringIO
+from theano.compat.six import StringIO
 
 import theano
 from theano.compat import configparser as ConfigParser
@@ -150,7 +150,7 @@ class TheanoConfigParser(object):
     _i_am_a_config_class = True
 
     def __str__(self):
-        sio = StringIO.StringIO()
+        sio = StringIO()
         _config_print(self.__class__, sio)
         return sio.getvalue()
 

theano/gof/cc.py

@@ -5,13 +5,13 @@ Defines Linkers that deal with C implementations.
 # Python imports
 from copy import copy
 import os
-import StringIO
 import sys
 from itertools import izip
 
 import numpy
 
 from theano.compat import PY3
+from theano.compat.six import StringIO
 
 if PY3:
     import hashlib
@@ -1320,7 +1320,7 @@ class CLinker(link.Linker):
         return ret
 
     def instantiate_code(self, n_args):
-        code = StringIO.StringIO()
+        code = StringIO()
         struct_name = self.struct_name
         print >> code, "static PyObject * instantiate(PyObject * self, PyObject *argtuple) {"
         print >> code, '  assert(PyTuple_Check(argtuple));'

theano/gof/cmodule.py

@@ -8,7 +8,6 @@ import os
 import re
 import shutil
 import stat
-import StringIO
 import subprocess
 import sys
 import tempfile
@@ -21,6 +20,7 @@ import numpy.distutils  # TODO: TensorType should handle this
 
 import theano
 from theano.compat import PY3, next, decode, decode_iter
+from theano.compat.six import StringIO
 from theano.gof.utils import flatten
 from theano.configparser import config
 from theano.gof.cc import hash_from_code
@@ -196,7 +196,7 @@ static struct PyModuleDef moduledef = {{
         self.functions.append(fn)
 
     def code(self):
-        sio = StringIO.StringIO()
+        sio = StringIO()
         for inc in self.includes:
             if not inc:
                 continue

theano/gof/opt.py

@@ -274,7 +274,7 @@ class SeqOptimizer(Optimizer, list):
                 new_sub_profile.append(None)
 
         # merge not common opt
-        import StringIO
+        from theano.compat.six import StringIO
         for l in set(prof1[0]).symmetric_difference(set(prof2[0])):
             #The set trick above only work for the same object optimization
             #It don't work for equivalent optimization.
@@ -282,8 +282,8 @@ class SeqOptimizer(Optimizer, list):
             new_l_names = [o.name for o in new_l]
             if l.name in new_l_names:
                 idx = new_l_names.index(l.name)
-                io1 = StringIO.StringIO()
-                io2 = StringIO.StringIO()
+                io1 = StringIO()
+                io2 = StringIO()
                 l.print_summary(io1)
                 new_l[idx].print_summary(io2)
                 if io1.read() == io2.read():

theano/gof/optdb.py

-import StringIO
 import sys
 
 from theano.gof.python25 import DefaultOrderedDict
 
 import numpy
+from theano.compat.six import StringIO
 from theano.gof import opt
 from theano.configparser import AddConfigVar, FloatParam
 from theano import config
@@ -258,7 +258,7 @@ class SequenceDB(DB):
         print >> stream, "  db", self.__db__
 
     def __str__(self):
-        sio = StringIO.StringIO()
+        sio = StringIO()
         self.print_summary(sio)
         return sio.getvalue()
 

theano/misc/hooks/check_whitespace.py

@@ -5,7 +5,6 @@ import difflib
 import operator
 import os
 import string
-from StringIO import StringIO
 from subprocess import Popen, PIPE
 import sys
 import tabnanny
@@ -13,6 +12,7 @@ import tokenize
 
 import argparse
 import reindent
+from theano.compat.six.StringIO import StringIO
 
 SKIP_WHITESPACE_CHECK_FILENAME = ".hg/skip_whitespace_check"
 

theano/printing.py

@@ -6,7 +6,6 @@ in a graph(Print Op)
 from copy import copy
 import logging
 import os
-import StringIO
 import sys
 # Not available on all platforms
 hashlib = None
@@ -26,6 +25,7 @@ except ImportError:
 import theano
 from theano import gof
 from theano import config
+from theano.compat.six import StringIO
 from theano.gof import Op, Apply
 from theano.gof.python25 import any
 from theano.compile import Function, debugmode
@@ -74,7 +74,7 @@ def debugprint(obj, depth=-1, print_type=False,
 
     """
     if file == 'str':
-        _file = StringIO.StringIO()
+        _file = StringIO()
     elif file is None:
         _file = sys.stdout
     else:

theano/sandbox/cuda/basic_ops.py

 import copy
 import logging
-import StringIO
 import sys
 
 import numpy
@@ -8,6 +7,7 @@ import numpy
 import theano
 from theano import Op, Type, Apply, Variable, Constant
 from theano import tensor, scalar, config
+from theano.compat.six import StringIO
 from theano.scalar import Scalar
 scal = scalar # somewhere scalar gets reassigned to be a function
 
@@ -385,7 +385,7 @@ class GpuDimShuffle(GpuOp):
 
         nd_in = len(self.input_broadcastable)
         nd_out = len(self.new_order)
-        sio = StringIO.StringIO()
+        sio = StringIO()
         fail = sub['fail']
 
         #check input
@@ -618,7 +618,7 @@ class GpuCAReduce(GpuOp):
 
         assert nd_in - nd_out == sum(self.reduce_mask)
 
-        sio = StringIO.StringIO()
+        sio = StringIO()
         fail = sub['fail']
 
         #check input
@@ -750,7 +750,7 @@ class GpuCAReduce(GpuOp):
                     %(fail)s;
                 }
         """
-        sio = StringIO.StringIO()
+        sio = StringIO()
         if pattern is None:
             pattern = ''.join(str(c) for c in self.reduce_mask)
         ndim = len(self.reduce_mask)
@@ -843,7 +843,7 @@ class GpuCAReduce(GpuOp):
             ndim = len(reduce_mask)
         if pattern is None:
             pattern = ''.join(str(i) for i in reduce_mask)
-        sio = StringIO.StringIO()
+        sio = StringIO()
 
         print >> sio, """
             static __global__ void kernel_reduce_%(pattern)s_%(nodename)s(
@@ -1590,7 +1590,7 @@ class GpuCAReduce(GpuOp):
             raise NotImplementedError()
 
     def c_support_code_apply(self, node, nodename):
-        sio = StringIO.StringIO()
+        sio = StringIO()
         nd_in = len(self.reduce_mask)
         if all(i == 1 for i in self.reduce_mask):
             self._op_guard()

theano/sandbox/cuda/blas.py

 import copy
 import os
-import StringIO
 
 import theano
 from theano import Apply
 from theano import tensor
+from theano.compat.six import StringIO
 from theano.sandbox.cuda.type import CudaNdarrayType
 from theano.sandbox.cuda import GpuOp
 
@@ -226,7 +226,7 @@ class GpuGemm(GpuOp):
         z_out, = outputs
         inplace = int(self.inplace)
         fail = sub['fail']
-        sio = StringIO.StringIO()
+        sio = StringIO()
 
         print >> sio, """
 
@@ -341,7 +341,7 @@ class GpuGemv(GpuOp):
         z_out, = outputs
         inplace = int(self.inplace)
         fail = sub['fail']
-        sio = StringIO.StringIO()
+        sio = StringIO()
 
         print >> sio, """
         float %(name)s_alpha = ((dtype_%(a)s*)(%(a)s->data))[0];
@@ -438,7 +438,7 @@ class GpuGer(GpuOp):
         z_out, = outputs
         inplace = int(self.inplace)
         fail = sub['fail']
-        sio = StringIO.StringIO()
+        sio = StringIO()
 
         print >> sio, """
         float %(name)s_alpha = ((dtype_%(a)s*)(%(a)s->data))[0];

theano/sandbox/cuda/elemwise.py

@@ -5,12 +5,13 @@ The elemwise fct are also used with scalar operation! So it can happen that ndim
 """
 
 
-import copy, logging, StringIO, sys
+import copy, logging, sys
 
 import numpy
 
 from theano.scalar.basic import upgrade_to_float_no_complex, complex_types
 from theano.scalar.basic_scipy import Erfinv
+from theano.compat.six import StringIO
 from theano import Apply, Constant, Op, Type, Variable
 from theano import gof, scalar, tensor
 
@@ -65,7 +66,7 @@ class NaiveAlgo(object):
         self.inplace_pattern = inplace_pattern
 
     def c_src_kernel(self, node, nodename, nd):
-        sio = StringIO.StringIO()
+        sio = StringIO()
         #print 'C_SRC_KERNEL', sio.getvalue()
 
         for ipos, i in enumerate(node.inputs):
@@ -166,7 +167,7 @@ class NaiveAlgo(object):
         """
 
         nd = node.outputs[0].type.ndim
-        sio = StringIO.StringIO()
+        sio = StringIO()
         #print 'C_SRC_KERNEL', sio.getvalue()
 
         if nd in (4,):
@@ -267,7 +268,7 @@ class NaiveAlgo(object):
         nd = node.outputs[0].type.ndim
         n_in = len(node.inputs)
         n_out = len(node.outputs)
-        sio = StringIO.StringIO()
+        sio = StringIO()
 
         if nd not in (2,):
             return sio.getvalue()
@@ -418,7 +419,7 @@ class NaiveAlgo(object):
 
     def c_src_kernel_Ccontiguous(self, node, nodename):
         nd = node.outputs[0].type.ndim
-        sio = StringIO.StringIO()
+        sio = StringIO()
         #print 'C_SRC_KERNEL', sio.getvalue()
 
         for ipos, i in enumerate(node.inputs):
@@ -503,7 +504,7 @@ class NaiveAlgo(object):
 
         scalar_op=self.scalar_op.__class__.__name__
 
-        sio = StringIO.StringIO()
+        sio = StringIO()
         print >> sio, """
         static void can_collapse_%(nodename)s(int nd, const int * dims, const int * strides, int collapse[])
         {
@@ -856,7 +857,7 @@ nd_collapse_[i]=0;
         d = dict(sub)
         nd = node.outputs[0].type.ndim
         d.update(locals())
-        sio = StringIO.StringIO()
+        sio = StringIO()
         nin = len(inputs)
         nout = len(outputs)
         fail = sub['fail']

theano/sandbox/cuda/nnet.py

 from theano import Op, Apply
-import StringIO
+from theano.compat.six import StringIO
 
 from theano.sandbox.cuda import GpuOp
 
@@ -92,7 +92,7 @@ class GpuCrossentropySoftmaxArgmax1HotWithBias (GpuOp):
         nll, sm, am = out
         classname = self.__class__.__name__
         fail = sub['fail']
-        sio = StringIO.StringIO()
+        sio = StringIO()
         print >> sio, """
         if (%(y_idx)s->nd != 1)
         {

theano/sandbox/cuda/type.py

 """Provide CudaNdarrayType
 """
 import os
-import StringIO
 import copy_reg
 
 import numpy
@@ -10,6 +9,7 @@ import theano
 from theano import Type, Variable
 from theano import tensor, config
 from theano import scalar as scal
+from theano.compat.six import StringIO
 
 try:
     # We must do those import to be able to create the full doc when nvcc
@@ -274,7 +274,7 @@ class CudaNdarrayType(Type):
         return "%(name)s = NULL;" % locals()
 
     def c_extract(self, name, sub):
-        sio = StringIO.StringIO()
+        sio = StringIO()
         fail = sub['fail']
         nd = self.ndim
         print >> sio, """

theano/tensor/opt.py

@@ -9,7 +9,6 @@ _logger = logging.getLogger('theano.tensor.opt')
 
 import operator
 import itertools
-import StringIO
 import sys
 import traceback
 from itertools import izip
@@ -35,7 +34,7 @@ from theano.gof.opt import (Optimizer, pre_constant_merge,
 from theano.gof.opt import merge_optimizer
 from theano.gof import toolbox, DestroyHandler
 from theano.tensor.basic import get_scalar_constant_value, ShapeError, NotScalarConstantError
-
+from theano.compat.six import StringIO
 
 theano.configparser.AddConfigVar('on_shape_error',
                                  "warn: print a warning and use the default"
@@ -836,7 +835,7 @@ class ShapeFeature(object):
                 raise TypeError('shapes must be tuple/list', (r, s))
 
             if r.ndim != len(s):
-                sio = StringIO.StringIO()
+                sio = StringIO()
                 theano.printing.debugprint(r, file=sio, print_type=True)
                 raise AssertionError(
                     "Something inferred a shape with %d dimensions "

theano/tensor/tests/test_basic.py

@@ -2,7 +2,6 @@ import itertools
 import logging
 import operator
 import os
-import StringIO
 import sys
 from tempfile import mkstemp
 import unittest
@@ -20,6 +19,7 @@ from numpy.testing.noseclasses import KnownFailureTest
 
 import theano
 from theano.compat import PY3, exc_message, operator_div
+from theano.compat.six import StringIO
 from theano import compile, config, function, gof, tensor, shared
 from theano.compile import DeepCopyOp
 from theano.compile.mode import get_default_mode
@@ -2269,7 +2269,7 @@ class T_max_and_argmax(unittest.TestCase):
     def test2_invalid_neg(self):
         n = as_tensor_variable(rand(2, 3))
         old_stderr = sys.stderr
-        sys.stderr = StringIO.StringIO()
+        sys.stderr = StringIO()
         try:
             try:
                 eval_outputs(max_and_argmax(n, -3))
@@ -2463,7 +2463,7 @@ class T_argmin_argmax(unittest.TestCase):
         for fct, nfct in [(argmax, numpy.argmax), (argmin, numpy.argmin)]:
             n = as_tensor_variable(rand(2, 3))
             old_stderr = sys.stderr
-            sys.stderr = StringIO.StringIO()
+            sys.stderr = StringIO()
             try:
                 try:
                     eval_outputs(fct(n, -3))
@@ -2596,7 +2596,7 @@ class T_min_max(unittest.TestCase):
         for fct in [max, min]:
             n = as_tensor_variable(rand(2, 3))
             old_stderr = sys.stderr
-            sys.stderr = StringIO.StringIO()
+            sys.stderr = StringIO()
             try:
                 try:
                     eval_outputs(fct(n, -3))
@@ -2931,7 +2931,7 @@ class T_subtensor(unittest.TestCase, utt.TestOptimizationMixin):
         t = n[4:5, 3]
         self.assertTrue(isinstance(t.owner.op, Subtensor))
         old_stderr = sys.stderr
-        sys.stderr = StringIO.StringIO()
+        sys.stderr = StringIO()
         try:
             self.assertRaises(IndexError,
                               self.eval_output_and_check, [t])

theano/tensor/tests/test_naacl09.py

@@ -652,10 +652,10 @@ def profile_main():
     # We've renamed our original main() above to real_main()
     import cProfile
     import pstats
-    import StringIO
+    from theano.compat.six import StringIO
     prof = cProfile.Profile()
     prof = prof.runctx("real_main()", globals(), locals())
-    stream = StringIO.StringIO()
+    stream = StringIO()
     stats = pstats.Stats(prof)
     stats.sort_stats("time")  # Or cumulative
     stats.print_stats(80)  # 80 = how many to print

theano/tensor/tests/test_opt.py

@@ -2,7 +2,6 @@
 
 import copy
 import logging
-import StringIO
 import time
 import unittest
 
@@ -13,6 +12,7 @@ from numpy.testing.noseclasses import KnownFailureTest
 
 import theano
 import theano.scalar as scal
+from theano.compat.six import StringIO
 from theano import compile
 from theano.compile import deep_copy_op, DeepCopyOp
 from theano import config
@@ -742,7 +742,7 @@ class test_canonize(unittest.TestCase):
         This bug caused an infinite loop which was caught by the equilibrium
         optimizer, resulting in an error log message.
         """
-        sio = StringIO.StringIO()
+        sio = StringIO()
         handler = logging.StreamHandler(sio)
         handler.setLevel(logging.ERROR)
         logging.getLogger('theano.gof.opt').addHandler(handler)

theano/tests/test_determinism.py

@@ -5,12 +5,11 @@ from theano.tests import disturb_mem
 import numpy as np
 import theano
 from theano.printing import var_descriptor
-from cStringIO import StringIO
 from nose.plugins.skip import SkipTest
 
 from theano import config
 from theano import shared
-
+from theano.compat.six import StringIO
 
 def sharedX(x, name=None):
     x = np.cast[config.floatX](x)

theano/tests/test_printing.py

 """
 Tests of printing functionality
 """
-
-
 import logging
-import StringIO
 
 from nose.plugins.skip import SkipTest
 
@@ -12,7 +9,7 @@ import theano
 import theano.tensor as tensor
 
 from theano.printing import min_informative_str, debugprint
-
+from theano.compat.six import StringIO
 
 def test_pydotprint_cond_highlight():
     """
@@ -29,7 +26,7 @@ def test_pydotprint_cond_highlight():
     f = theano.function([x], x * 2)
     f([1, 2, 3, 4])
 
-    s = StringIO.StringIO()
+    s = StringIO()
     new_handler = logging.StreamHandler(s)
     new_handler.setLevel(logging.DEBUG)
     orig_handler = theano.logging_default_handler
@@ -65,7 +62,7 @@ def test_pydotprint_long_name():
     f = theano.function([x], [x * 2, x + x], mode=mode)
     f([1, 2, 3, 4])
 
-    s = StringIO.StringIO()
+    s = StringIO()
     new_handler = logging.StreamHandler(s)
     new_handler.setLevel(logging.DEBUG)
     orig_handler = theano.logging_default_handler
@@ -131,7 +128,7 @@ def test_debugprint():
     debugprint(G)
 
     # test ids=int
-    s = StringIO.StringIO()
+    s = StringIO()
     debugprint(G, file=s, ids='int')
     s = s.getvalue()
     # The additional white space are needed!
@@ -151,7 +148,7 @@ def test_debugprint():
     assert s == reference
 
     # test ids=CHAR
-    s = StringIO.StringIO()
+    s = StringIO()
     debugprint(G, file=s, ids='CHAR')
     s = s.getvalue()
     # The additional white space are needed!
@@ -171,7 +168,7 @@ def test_debugprint():
     assert s == reference
 
     # test ids=CHAR, stop_on_name=True
-    s = StringIO.StringIO()
+    s = StringIO()
     debugprint(G, file=s, ids='CHAR', stop_on_name=True)
     s = s.getvalue()
     # The additional white space are needed!
@@ -189,7 +186,7 @@ def test_debugprint():
     assert s == reference
 
     # test ids=
-    s = StringIO.StringIO()
+    s = StringIO()
     debugprint(G, file=s, ids='')
     s = s.getvalue()
     # The additional white space are needed!