--- a/env/lib/python3.7/site-packages/networkx/readwrite/gpickle.py	Thu May 14 16:47:39 2020 -0400
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,107 +0,0 @@
-"""
-**************
-Pickled Graphs
-**************
-Read and write NetworkX graphs as Python pickles.
-
-"The pickle module implements a fundamental, but powerful algorithm
-for serializing and de-serializing a Python object
-structure. "Pickling" is the process whereby a Python object hierarchy
-is converted into a byte stream, and "unpickling" is the inverse
-operation, whereby a byte stream is converted back into an object
-hierarchy."
-
-Note that NetworkX graphs can contain any hashable Python object as
-node (not just integers and strings).  For arbitrary data types it may
-be difficult to represent the data as text.  In that case using Python
-pickles to store the graph data can be used.
-
-Format
-------
-See https://docs.python.org/2/library/pickle.html
-"""
-__author__ = """Aric Hagberg (hagberg@lanl.gov)\nDan Schult (dschult@colgate.edu)"""
-#    Copyright (C) 2004-2019 by
-#    Aric Hagberg <hagberg@lanl.gov>
-#    Dan Schult <dschult@colgate.edu>
-#    Pieter Swart <swart@lanl.gov>
-#    All rights reserved.
-#    BSD license.
-
-__all__ = ['read_gpickle', 'write_gpickle']
-
-import networkx as nx
-from networkx.utils import open_file
-
-try:
-    import cPickle as pickle
-except ImportError:
-    import pickle
-
-
-@open_file(1, mode='wb')
-def write_gpickle(G, path, protocol=pickle.HIGHEST_PROTOCOL):
-    """Write graph in Python pickle format.
-
-    Pickles are a serialized byte stream of a Python object [1]_.
-    This format will preserve Python objects used as nodes or edges.
-
-    Parameters
-    ----------
-    G : graph
-       A NetworkX graph
-
-    path : file or string
-       File or filename to write.
-       Filenames ending in .gz or .bz2 will be compressed.
-
-    protocol : integer
-        Pickling protocol to use. Default value: ``pickle.HIGHEST_PROTOCOL``.
-
-    Examples
-    --------
-    >>> G = nx.path_graph(4)
-    >>> nx.write_gpickle(G, "test.gpickle")
-
-    References
-    ----------
-    .. [1] https://docs.python.org/2/library/pickle.html
-    """
-    pickle.dump(G, path, protocol)
-
-
-@open_file(0, mode='rb')
-def read_gpickle(path):
-    """Read graph object in Python pickle format.
-
-    Pickles are a serialized byte stream of a Python object [1]_.
-    This format will preserve Python objects used as nodes or edges.
-
-    Parameters
-    ----------
-    path : file or string
-       File or filename to write.
-       Filenames ending in .gz or .bz2 will be uncompressed.
-
-    Returns
-    -------
-    G : graph
-       A NetworkX graph
-
-    Examples
-    --------
-    >>> G = nx.path_graph(4)
-    >>> nx.write_gpickle(G, "test.gpickle")
-    >>> G = nx.read_gpickle("test.gpickle")
-
-    References
-    ----------
-    .. [1] https://docs.python.org/2/library/pickle.html
-    """
-    return pickle.load(path)
-
-
-# fixture for pytest
-def teardown_module(module):
-    import os
-    os.unlink('test.gpickle')