Flake8 for compile/function.py

theano/compile/function.py

@@ -14,7 +14,6 @@ from theano.compile.function_module import orig_function
 from theano.compile.pfunc import pfunc
 from numpy import any
 import warnings
-from theano import gof
 from theano import compat
 
 
@@ -70,54 +69,67 @@ def function(inputs, outputs=None, mode=None, updates=None, givens=None,
     :type mode: string or `Mode` instance.
     :param mode: compilation mode
 
-    :type updates: iterable over pairs (shared_variable, new_expression). List, tuple or OrderedDict.
-    :param updates: update the values for SharedVariable inputs according to these expressions
+    :type updates: iterable over pairs (shared_variable, new_expression).
+                   List, tuple or OrderedDict.
+    :param updates: update the values for SharedVariable inputs
+                    according to these expressions
 
-    :type givens: iterable over pairs (Var1, Var2) of Variables. List, tuple or dict.  The Var1
-    and Var2 in each pair must have the same Type.
-
-    :param givens: specific substitutions to make in the computation graph (Var2 replaces
-    Var1).
+    :type givens: iterable over pairs (Var1, Var2) of Variables. List,
+                  tuple or dict.  The Var1 and Var2 in each pair must
+                  have the same Type.
+    :param givens: specific substitutions to make in the computation
+                   graph (Var2 replaces Var1).
 
     :type no_default_updates: either bool or list of Variables
-    :param no_default_updates: if True, do not perform any automatic update on Variables.
-    If False (default), perform them all. Else, perform automatic updates on all Variables
-    that are neither in "updates" nor in "no_default_updates".
-
-    :param name: an optional name for this function. The profile mode will print the time spent in this function.
-
-    :param rebuild_strict: True (Default) is the safer and better tested setting, in which case
-    `givens` must substitute new variables with the same Type as the variables they replace.
-    False is a you-better-know-what-you-are-doing setting, that permits `givens` to replace
-    variables with new variables of any Type.  The consequence of changing a Type is that all
-    results depending on that variable may have a different Type too (the graph is rebuilt from
-    inputs to outputs).  If one of the new types does not make sense for one of the Ops in the
+    :param no_default_updates: if True, do not perform any automatic
+        update on Variables.  If False (default), perform them
+        all. Else, perform automatic updates on all Variables that are
+        neither in "updates" nor in "no_default_updates".
+
+    :param name: an optional name for this function. The profile mode
+        will print the time spent in this function.
+
+    :param rebuild_strict: True (Default) is the safer and better
+        tested setting, in which case `givens` must substitute new
+        variables with the same Type as the variables they replace.
+        False is a you-better-know-what-you-are-doing setting, that
+        permits `givens` to replace variables with new variables of
+        any Type.  The consequence of changing a Type is that all
+        results depending on that variable may have a different Type
+        too (the graph is rebuilt from inputs to outputs).  If one of
+        the new types does not make sense for one of the Ops in the
         graph, an Exception will be raised.
 
     :type allow_input_downcast: Boolean or None
     :param allow_input_downcast: True means that the values passed as
-    inputs when calling the function can be silently downcasted to fit
-    the dtype of the corresponding Variable, which may lose precision.
-    False means that it will only be cast to a more general, or
-    precise, type. None (default) is almost like False, but allows
-    downcasting of Python float scalars to floatX.
+        inputs when calling the function can be silently downcasted to
+        fit the dtype of the corresponding Variable, which may lose
+        precision.  False means that it will only be cast to a more
+        general, or precise, type. None (default) is almost like
+        False, but allows downcasting of Python float scalars to
+        floatX.
 
     :type profile: None, True, or ProfileStats instance
-    :param profile: accumulate profiling information into a given ProfileStats
-    instance. If argument is `True` then a new ProfileStats instance will be
-    used.  This profiling object will be available via self.profile.
+    :param profile: accumulate profiling information into a given
+        ProfileStats instance. If argument is `True` then a new
+        ProfileStats instance will be used.  This profiling object
+        will be available via self.profile.
 
-    :param on_unused_input: What to do if a variable in the 'inputs' list is
-    not used in the graph. Possible values are 'raise', 'warn', 'ignore' and None.
+    :param on_unused_input: What to do if a variable in the 'inputs'
+        list is not used in the graph. Possible values are 'raise',
+        'warn', 'ignore' and None.
 
     :rtype: Function instance
-    :returns: a callable object that will compute the outputs (given the inputs)
-    and update the implicit function arguments according to the `updates`.
+    :returns: a callable object that will compute the outputs (given
+        the inputs) and update the implicit function arguments
+        according to the `updates`.
 
-    :note: Regarding givens: Be careful to make sure that these substitutions are
-    independent--behaviour when Var1 of one pair appears in the graph leading to Var2 in
-    another expression is undefined.  Replacements specified with givens are different from
-    optimizations in that Var2 is not expected to be equivalent to Var1.
+    :note: Regarding givens: Be careful to make sure that these
+        substitutions are independent--behaviour when Var1 of one pair
+        appears in the graph leading to Var2 in another expression is
+        undefined.  Replacements specified with givens are different
+        from optimizations in that Var2 is not expected to be
+        equivalent to Var1.
 
 
     Internal documentation:
@@ -195,10 +207,6 @@ def function(inputs, outputs=None, mode=None, updates=None, givens=None,
         was easier to develop the VM in Python then translate it to C instead
         of just writing it in C from scratch.
                CVM stands for C Virtual Machine.
-
-
-
-
     """
     if isinstance(outputs, dict):
         output_items = outputs.items()
@@ -214,7 +222,6 @@ def function(inputs, outputs=None, mode=None, updates=None, givens=None,
             output_keys.append(pair[0])
             outputs.append(pair[1])
 
-
     else:
         output_keys = None
 
@@ -256,12 +263,13 @@ def function(inputs, outputs=None, mode=None, updates=None, givens=None,
     if givens is None:
         givens = []
     if not isinstance(inputs, (list, tuple)):
-        raise Exception("Input variables of a Theano function should be"
-                        " contained in a list, even when there is a single input.")
+        raise Exception("Input variables of a Theano function should be "
+                        "contained in a list, even when there is a single "
+                        "input.")
 
     # compute some features of the arguments:
-    uses_In = any([isinstance(i, In) for i in inputs])  # N.B. the square brackets are ncessary
-    uses_tuple = any([isinstance(i, (list, tuple)) for i in inputs])  # N.B. the square brackets are ncessary
+    uses_In = any([isinstance(i, In) for i in inputs])
+    uses_tuple = any([isinstance(i, (list, tuple)) for i in inputs])
     uses_updates = bool(updates)
     uses_givens = bool(givens)
 
@@ -275,7 +283,8 @@ def function(inputs, outputs=None, mode=None, updates=None, givens=None,
     if uses_In or uses_tuple:
         # we must use old semantics in this case.
         if profile:
-            raise NotImplementedError('profiling not supported in old-style function')
+            raise NotImplementedError("profiling not supported in old-style "
+                                      "function")
         if uses_updates or uses_givens:
             raise NotImplementedError(
                 "In() instances and tuple inputs trigger the old "
@@ -284,8 +293,8 @@ def function(inputs, outputs=None, mode=None, updates=None, givens=None,
                            mode=mode,
                            accept_inplace=accept_inplace, name=name)
     else:
-        # note: pfunc will also call orig_function-- orig_function is a choke point
-        #      that all compilation must pass through
+        # note: pfunc will also call orig_function-- orig_function is
+        #      a choke point that all compilation must pass through
         fn = pfunc(params=inputs,
                    outputs=outputs,
                    mode=mode,

theano/tests/test_flake8.py

@@ -38,7 +38,6 @@ whitelist_flake8 = [
     "tests/test_tutorial.py",
     "tests/disturb_mem.py",
     "tests/unittest_tools.py",
-    "compile/function.py",
     "compile/pfunc.py",
     "compile/mode.py",
     "compile/profilemode.py",