configdefaults.py in pep8

theano/configdefaults.py

@@ -24,7 +24,7 @@ def floatX_convert(s):
 AddConfigVar('floatX',
              "Default floating-point precision for python casts",
              EnumStr('float64', 'float32', convert=floatX_convert,),
-)
+             )
 
 AddConfigVar('warn_float64',
              "Do an action when a tensor variable with float64 dtype is"
@@ -32,17 +32,17 @@ AddConfigVar('warn_float64',
              " gpu back-end and are slow with gamer GPUs.",
              EnumStr('ignore', 'warn', 'raise', 'pdb'),
              in_c_key=False,
-)
+             )
 
 AddConfigVar('cast_policy',
-        "Rules for implicit type casting",
+             'Rules for implicit type casting',
              EnumStr('custom', 'numpy+floatX',
-                # The 'numpy' policy was originally planned to provide a smooth
-                # transition from numpy. It was meant to behave the same as
-                # numpy+floatX, but keeping float64 when numpy would. However
-                # the current implementation of some cast mechanisms makes it
-                # a bit more complex to add than what was expected, so it is
-                # currently not available.
+                     # The 'numpy' policy was originally planned to provide a
+                     # smooth transition from numpy. It was meant to behave the
+                     # same asnumpy+floatX, but keeping float64 when numpy
+                     # would. However the current implementation of some cast
+                     # mechanisms makes it a bit more complex to add than what
+                     # was expected, so it is currently not available.
                      # numpy,
                      ),
              )
@@ -82,14 +82,14 @@ class DeviceParam(ConfigParam):
     def __str__(self):
         return '%s (cpu, gpu*, opencl*, cuda*) ' % (self.fullname,)
 
-AddConfigVar('device',
+AddConfigVar(
+    'device',
     ("Default device for computations. If gpu*, change the default to try "
      "to move computation to it and to put shared variable of float32 "
      "on it. Do not use upper case letters, only lower case even if "
      "NVIDIA use capital letters."),
     DeviceParam('cpu', allow_override=False),
-        in_c_key=False,
-        )
+    in_c_key=False,)
 
 AddConfigVar('gpuarray.init_device',
              """
@@ -99,7 +99,8 @@ AddConfigVar('gpuarray.init_device',
              StrParam(''),
              in_c_key=False)
 
-AddConfigVar('init_gpu_device',
+AddConfigVar(
+    'init_gpu_device',
     ("Initialize the gpu device to use, works only if device=cpu. "
      "Unlike 'device', setting this option will NOT move computations, "
      "nor shared variables, to the specified GPU. "
@@ -112,12 +113,14 @@ AddConfigVar('init_gpu_device',
             allow_override=False),
     in_c_key=False)
 
-AddConfigVar('force_device',
+AddConfigVar(
+    'force_device',
     "Raise an error if we can't use the specified device",
     BoolParam(False, allow_override=False),
     in_c_key=False)
 
-AddConfigVar('print_active_device',
+AddConfigVar(
+    'print_active_device',
     "Print active device at when the GPU device is initialized.",
     BoolParam(True, allow_override=False),
     in_c_key=False)
@@ -129,7 +132,8 @@ AddConfigVar('print_active_device',
 # scalable.
 # Also, please be careful not to modify the first item in the enum when adding
 # new modes, since it is the default mode.
-AddConfigVar('mode',
+AddConfigVar(
+    'mode',
     "Default compilation mode",
     EnumStr('Mode', 'ProfileMode', 'DebugMode', 'FAST_RUN',
             'FAST_COMPILE', 'PROFILE_MODE', 'DEBUG_MODE'),
@@ -209,7 +213,8 @@ AddConfigVar('allow_gc',
              in_c_key=False)
 
 # Keep the default optimizer the same as the one for the mode FAST_RUN
-AddConfigVar('optimizer',
+AddConfigVar(
+    'optimizer',
     ("Default optimizer. If not None, will use this linker with the Mode "
      "object (not ProfileMode(deprecated) or DebugMode)"),
     EnumStr('fast_run', 'merge', 'fast_compile', 'None'),
@@ -220,7 +225,8 @@ AddConfigVar('optimizer_verbose',
              BoolParam(False),
              in_c_key=False)
 
-AddConfigVar('on_opt_error',
+AddConfigVar(
+    'on_opt_error',
     ("What to do when an optimization crashes: warn and skip it, raise "
      "the exception, or fall into the pdb debugger."),
     EnumStr('warn', 'raise', 'pdb'),
@@ -246,13 +252,15 @@ def safe_no_home(home):
     return True
 
 
-AddConfigVar('home',
+AddConfigVar(
+    'home',
     "This config option was removed in 0.5: do not use it!",
     ConfigParam('', allow_override=False, filter=safe_no_home),
     in_c_key=False)
 
 
-AddConfigVar('nocleanup',
+AddConfigVar(
+    'nocleanup',
     "Suppress the deletion of code files that did not compile cleanly",
     BoolParam(False),
     in_c_key=False)
@@ -267,38 +275,44 @@ AddConfigVar('on_unused_input',
 # So changing it after import will not modify these global variables.
 # This could be done differently... but for now we simply prevent it from being
 # changed at runtime.
-AddConfigVar('tensor.cmp_sloppy',
+AddConfigVar(
+    'tensor.cmp_sloppy',
     "Relax tensor._allclose (0) not at all, (1) a bit, (2) more",
     IntParam(0, lambda i: i in (0, 1, 2), allow_override=False),
     in_c_key=False)
 
-AddConfigVar('tensor.local_elemwise_fusion',
+AddConfigVar(
+    'tensor.local_elemwise_fusion',
     ("Enable or not in fast_run mode(fast_run optimization) the elemwise "
      "fusion optimization"),
     BoolParam(True),
     in_c_key=False)
 
-AddConfigVar('gpu.local_elemwise_fusion',
+AddConfigVar(
+    'gpu.local_elemwise_fusion',
     ("Enable or not in fast_run mode(fast_run optimization) the gpu "
      "elemwise fusion optimization"),
     BoolParam(True),
     in_c_key=False)
 
 # http://developer.amd.com/CPU/LIBRARIES/LIBM/Pages/default.aspx
-AddConfigVar('lib.amdlibm',
+AddConfigVar(
+    'lib.amdlibm',
     "Use amd's amdlibm numerical library",
     BoolParam(False))
 
-AddConfigVar('gpuelemwise.sync',
+AddConfigVar(
+    'gpuelemwise.sync',
     "when true, wait that the gpu fct finished and check it error code.",
     BoolParam(True),
     in_c_key=False)
 
-AddConfigVar('traceback.limit',
+AddConfigVar(
+    'traceback.limit',
     "The number of stack to trace. -1 mean all.",
-# We default to 6 to be able to know where v1 + v2 is created in the
-# user script. The bigger this number is, the more run time it takes.
-# We need to default to 7 to support theano.tensor.tensor(...).
+    # We default to 6 to be able to know where v1 + v2 is created in the
+    # user script. The bigger this number is, the more run time it takes.
+    # We need to default to 7 to support theano.tensor.tensor(...).
     IntParam(7),
     in_c_key=False)
 
@@ -422,21 +436,24 @@ AddConfigVar('warn.sum_div_dimshuffle_bug',
              BoolParam(warn_default('0.3')),
              in_c_key=False)
 
-AddConfigVar('warn.subtensor_merge_bug',
+AddConfigVar(
+    'warn.subtensor_merge_bug',
     "Warn if previous versions of Theano (before 0.5rc2) could have given "
     "incorrect results when indexing into a subtensor with negative "
     "stride (for instance, for instance, x[a:b:-1][c]).",
     BoolParam(warn_default('0.5')),
     in_c_key=False)
 
-AddConfigVar('warn.gpu_set_subtensor1',
+AddConfigVar(
+    'warn.gpu_set_subtensor1',
     "Warn if previous versions of Theano (before 0.6) could have given "
     "incorrect results when moving to the gpu "
     "set_subtensor(x[int vector], new_value)",
     BoolParam(warn_default('0.6')),
     in_c_key=False)
 
-AddConfigVar('warn.vm_gc_bug',
+AddConfigVar(
+    'warn.vm_gc_bug',
     "There was a bug that existed in the default Theano configuration,"
     " only in the development version between July 5th 2012"
     " and July 30th 2012. This was not in a released version."
@@ -474,7 +491,8 @@ AddConfigVar('warn.inc_set_subtensor1',
              BoolParam(warn_default('0.7')),
              in_c_key=False)
 
-AddConfigVar('compute_test_value',
+AddConfigVar(
+    'compute_test_value',
     ("If 'True', Theano will run each op at graph build time, using "
      "Constants, SharedVariables and the tag 'test_value' as inputs "
      "to the function. This helps the user track down problems in the "
@@ -497,7 +515,8 @@ AddConfigVar('unpickle_function',
              BoolParam(True),
              in_c_key=False)
 
-AddConfigVar('reoptimize_unpickled_function',
+AddConfigVar(
+    'reoptimize_unpickled_function',
     "Re-optimize the graph when a theano function is unpickled from the disk.",
     BoolParam(True, allow_override=True),
     in_c_key=False)
@@ -509,11 +528,12 @@ AddConfigVar('reoptimize_unpickled_function',
     == 'high', you should include a call to printing.min_informative_str
     on all important apply nodes.
 """
-AddConfigVar('exception_verbosity',
-        "If 'low', the text of exceptions will generally refer " \
-        + "to apply nodes with short names such as " \
-        + "Elemwise{add_no_inplace}. If 'high', some exceptions " \
-        + "will also refer to apply nodes with long descriptions " \
+AddConfigVar(
+    'exception_verbosity',
+    "If 'low', the text of exceptions will generally refer "
+    + "to apply nodes with short names such as "
+    + "Elemwise{add_no_inplace}. If 'high', some exceptions "
+    + "will also refer to apply nodes with long descriptions "
     + """ like:
     A. Elemwise{add_no_inplace}
             B. log_likelihood_v_given_h
@@ -570,14 +590,16 @@ AddConfigVar('openmp_elemwise_minsize',
              in_c_key=False,
              )
 
-AddConfigVar('check_input',
+AddConfigVar(
+    'check_input',
     "Specify if types should check their input in their C code. "
     "It can be used to speed up compilation, reduce overhead "
     "(particularly for scalars) and reduce the number of generated C "
     "files.",
     BoolParam(True))
 
-AddConfigVar('cache_optimizations',
+AddConfigVar(
+    'cache_optimizations',
     "WARNING: work in progress, does not work yet. "
     "Specify if the optimization cache should be used. This cache will "
     "any optimized graph and its optimization. Actually slow downs a lot "