pep8 space fix

theano/compile/tests/test_function_module.py

@@ -40,7 +40,7 @@ class T_function(unittest.TestCase):
         fn = function([], None)  # ok
         rval = fn()
         if rval == []:
-            raise SkipTest("See #254: Using None as function output leads"
+            raise SkipTest("See #254: Using None as function output leads "
                            "to [] return value")
         else:
             assert rval is None

theano/sandbox/scan_module/tests/test_scan.py

@@ -472,7 +472,7 @@ class TestScan(unittest.TestCase):
         # soon, and it is in the sandbox and not for user consumption, the
         # error is marked as KnownFailure
 
-        raise SkipTest("Work-in-progress sandbox ScanOp is"
+        raise SkipTest("Work-in-progress sandbox ScanOp is "
                        "not fully functional yet")
 
         def f_pow2(x_tm1):
@@ -509,7 +509,7 @@ class TestScan(unittest.TestCase):
         # place (even when told not to by DebugMode). As this op will change
         # soon, and it is in the sandbox and not for user consumption, the
         # error is marked as KnownFailure
-        raise SkipTest("Work-in-progress sandbox"
+        raise SkipTest("Work-in-progress sandbox "
                        "ScanOp is not fully functional yet")
 
         def f_rnn(u_t, x_tm1, W_in, W):

theano/scan_module/tests/test_scan.py

@@ -3271,7 +3271,7 @@ class T_Scan(unittest.TestCase):
                     if isinstance(x.op, theano.tensor.Elemwise)]) == 0
 
     def test_alloc_inputs2(self):
-        raise SkipTest("This tests depends on an optimization for"
+        raise SkipTest("This tests depends on an optimization for "
                        "scan that has not been implemented yet.")
         W1 = tensor.matrix()
         W2 = tensor.matrix()
@@ -3499,8 +3499,8 @@ class T_Scan(unittest.TestCase):
         assert out == 24
 
     def test_infershape_seq_shorter_nsteps(self):
-        raise SkipTest("This is a generic problem with"
-                       "infershape that has to be discussed"
+        raise SkipTest("This is a generic problem with "
+                       "infershape that has to be discussed "
                        "and figured out")
         x = tensor.vector('x')
         [o1, o2], _ = theano.scan(lambda x, y: (x + 1, y + x),

theano/tensor/tests/test_opt.py

@@ -1558,7 +1558,7 @@ def test_log_add():
         f([10000], [10000])  # causes overflow if handled incorrectly
         assert numpy.allclose(f([10000], [10000]), 20000)
     except AssertionError:
-        raise SkipTest("log(add(exp)) is not stabilized when adding"
+        raise SkipTest("log(add(exp)) is not stabilized when adding "
                        "more than 2 elements, see #623")
 
     # TODO: test that the optimization works in the presence of broadcasting.
@@ -4025,8 +4025,8 @@ def test_constant_get_stabilized():
         assert f() == 800, f()
 
     except (AssertionError, theano.compile.debugmode.InvalidValueError):
-        raise SkipTest('Theano optimizes constant before stabilization.'
-                       'This breaks stabilization optimization in some'
+        raise SkipTest('Theano optimizes constant before stabilization. '
+                       'This breaks stabilization optimization in some '
                        'cases. See #504.')
 
 
@@ -4284,10 +4284,10 @@ class T_local_erfc(unittest.TestCase):
             0].op.scalar_op.fgraph.apply_nodes) == 22, len(f.maker.fgraph.toposort()[0].fgraph.toposort()[0].op.scalar_op.fgraph.apply_nodes)
         # TODO: fix this problem
         if theano.config.floatX == "float32" and theano.config.mode in ["DebugMode", "DEBUG_MODE"]:
-            raise SkipTest('The python code upcast somewhere internally'
-                           'some value of float32 to python float for'
-                           'part of its computation. That make that the'
-                           'c and python code dont generate the same value.'
+            raise SkipTest('The python code upcast somewhere internally '
+                           'some value of float32 to python float for '
+                           'part of its computation. That make that the '
+                           'c and python code dont generate the same value. '
                            'You can ignore this error.')
         assert all(numpy.isfinite(f(val)))
 
@@ -4356,12 +4356,13 @@ class T_local_erfc(unittest.TestCase):
 
         # TODO: fix this problem
         if theano.config.floatX == "float32" and theano.config.mode in ["DebugMode", "DEBUG_MODE"]:
+            # The python code upcast somewhere internally some value of float32
+            # to python float for part of its computation. That make that the c
+            # and python code do not generate the same value. You can ignore
+            # this error. This happen in an intermediate step that don't show
+            # in the final result.
+
             # Showing this test error is a duplicate of the one in test_local_log_erfc. We hide it.
-            # raise KnownFailureTest("the python code upcast somewhere internally some value of
-            # float32 to python float for part of its computation.
-            # That make that the c and python code do not generate the same value.
-            # You can ignore this error.
-            # This happen in an intermediate step that don't show in the final result.")
             pass
         else:
             assert all(numpy.isfinite(f(val)))

theano/tests/test_rop.py

@@ -190,7 +190,7 @@ class RopLop_checker(unittest.TestCase):
         assert numpy.allclose(v1, v2), ('LOP mismatch: %s %s' % (v1, v2))
 
         if known_fail:
-            raise SkipTest('Rop does not handle non-differentiable inputs'
+            raise SkipTest('Rop does not handle non-differentiable inputs '
                            'correctly. Bug exposed by fixing Add.grad method.')