feature: Remove non-working doctests

Signed-off-by: John Andersen <[email protected]>

Author: pdxjohnny

dffml/feature/__init__.py

@@ -1,18 +1 @@
-# SPDX-License-Identifier: MIT
-# Copyright (c) 2019 Intel Corporation
-"""
-All features registered to the dffml.feature entry point using setuptools are
-derived from the Feature class. To add a feature, create a module which has a
-setup.py which specifies where to find your Feature subclass within your module.
-
->>> setup(
->>>     name='myfeatures',
-...
->>>     entry_points={
->>>         'dffml.feature': [
->>>             'numfiles = myfeatures:NumFilesFeature',
->>>         ],
->>>     },
->>> )
-"""
 from .feature import Data, Feature, Features, LoggingDict, DefFeature

dffml/feature/feature.py

@@ -112,32 +112,6 @@ class and implement the fetch, parse, and calc methods. These methods are
     Once the appropriate data is fetched the parse method is responsible for
     storing the parts of that data which will be used to calculate in the
     subclass
-
-    >>> self.__example_parsed_value_name = example_value
-
-    The calc method then uses variables set in parse to output an integer value.
-
-    >>>     def calc(self):
-    >>>         return self.__example_parsed_value_name
-
-    Full example of a feature implementation:
-
-    >>> import glob
-    >>> from dffml.feature import Feature
-    >>>
-    >>> class NumFilesFeature(Feature):
-    >>>
-    >>>     @abc.abstractmethod
-    >>>     def fetch(self, data):
-    >>>         self._downloader.vcs(self._key, self.tempdir('src'))
-    >>>
-    >>>     @abc.abstractmethod
-    >>>     def parse(self, data):
-    >>>         self.__num_files = glob.glob(self.tempdir(), recursive=True)
-    >>>
-    >>>     @abc.abstractmethod
-    >>>     def calc(self, data):
-    >>>         return self.__num_files
     """
 
     LOGGER = LOGGER.getChild("Feature")