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## iof-tools / networkxMiCe / networkx-master / networkx / __init__.py @ 5cef0f13

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 1 ```""" ``` ```NetworkX ``` ```======== ``` ``` ``` ```NetworkX is a Python package for the creation, manipulation, ``` ```and study of the structure, dynamics, and functions ``` ```of complex networks. ``` ``` ``` ```Website (including documentation):: ``` ``` ``` ``` http://networkx.github.io ``` ``` ``` ```Mailing list:: ``` ``` ``` ``` https://groups.google.com/forum/#!forum/networkx-discuss ``` ``` ``` ```Source:: ``` ``` ``` ``` https://github.com/networkx/networkx ``` ``` ``` ```Bug reports:: ``` ``` ``` ``` https://github.com/networkx/networkx/issues ``` ``` ``` ```Simple example ``` ```-------------- ``` ``` ``` ```Find the shortest path between two nodes in an undirected graph:: ``` ``` ``` ``` >>> import networkx as nx ``` ``` >>> G = nx.Graph() ``` ``` >>> G.add_edge('A', 'B', weight=4) ``` ``` >>> G.add_edge('B', 'D', weight=2) ``` ``` >>> G.add_edge('A', 'C', weight=3) ``` ``` >>> G.add_edge('C', 'D', weight=4) ``` ``` >>> nx.shortest_path(G, 'A', 'D', weight='weight') ``` ``` ['A', 'B', 'D'] ``` ``` ``` ```Bugs ``` ```---- ``` ``` ``` ```Please report any bugs that you find `here `_. ``` ```Or, even better, fork the repository on GitHub and create a pull request (PR). ``` ``` ``` ```License ``` ```------- ``` ``` ``` ```Released under the 3-Clause BSD license:: ``` ``` ``` ``` Copyright (C) 2004-2019 NetworkX Developers ``` ``` Aric Hagberg ``` ``` Dan Schult ``` ``` Pieter Swart ``` ```""" ``` ```# Copyright (C) 2004-2019 by ``` ```# Aric Hagberg ``` ```# Dan Schult ``` ```# Pieter Swart ``` ```# All rights reserved. ``` ```# BSD license. ``` ```# ``` ```# Add platform dependent shared library path to sys.path ``` ```# ``` ```from __future__ import absolute_import ``` ```import sys ``` ```if sys.version_info[:2] < (3, 5): ``` ``` m = "Python 3.5 or later is required for NetworkX (%d.%d detected)." ``` ``` raise ImportError(m % sys.version_info[:2]) ``` ```del sys ``` ```# Release data ``` ```from networkx import release ``` ```__author__ = '%s <%s>\n%s <%s>\n%s <%s>' % \ ``` ``` (release.authors['Hagberg'] + release.authors['Schult'] + ``` ``` release.authors['Swart']) ``` ```__license__ = release.license ``` ```__date__ = release.date ``` ```__version__ = release.version ``` ```__bibtex__ = """@inproceedings{hagberg-2008-exploring, ``` ```author = {Aric A. Hagberg and Daniel A. Schult and Pieter J. Swart}, ``` ```title = {Exploring network structure, dynamics, and function using {NetworkX}}, ``` ```year = {2008}, ``` ```month = Aug, ``` ```urlpdf = {http://math.lanl.gov/~hagberg/Papers/hagberg-2008-exploring.pdf}, ``` ```booktitle = {Proceedings of the 7th Python in Science Conference (SciPy2008)}, ``` ```editors = {G\"{a}el Varoquaux, Travis Vaught, and Jarrod Millman}, ``` ```address = {Pasadena, CA USA}, ``` ```pages = {11--15} ``` ```}""" ``` ```# These are import orderwise ``` ```from networkx.exception import * ``` ```import networkx.utils ``` ```import networkx.classes.filters ``` ```import networkx.classes ``` ```from networkx.classes import * ``` ```import networkx.convert ``` ```from networkx.convert import * ``` ```import networkx.convert_matrix ``` ```from networkx.convert_matrix import * ``` ```import networkx.relabel ``` ```from networkx.relabel import * ``` ```import networkx.generators ``` ```from networkx.generators import * ``` ```import networkx.readwrite ``` ```from networkx.readwrite import * ``` ```# Need to test with SciPy, when available ``` ```import networkx.algorithms ``` ```from networkx.algorithms import * ``` ```import networkx.linalg ``` ```from networkx.linalg import * ``` ```from networkx.tests.test import run as test ``` ```import networkx.drawing ``` ```from networkx.drawing import * ```