Mercurial > repos > shellac > sam_consensus_v3
view env/lib/python3.9/site-packages/networkx/__init__.py @ 0:4f3585e2f14b draft default tip
"planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
author | shellac |
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date | Mon, 22 Mar 2021 18:12:50 +0000 |
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""" NetworkX ======== NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. See https://networkx.github.io for complete documentation. """ import sys if sys.version_info[:2] < (3, 6): m = "Python 3.6 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__ = ( f"{release.authors['Hagberg'][0]} <{release.authors['Hagberg'][1]}>\n" f"{release.authors['Schult'][0]} <{release.authors['Schult'][1]}>\n" f"{release.authors['Swart'][0]} <{release.authors['Swart'][1]}>" ) __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.testing.test import run as test import networkx.drawing from networkx.drawing import *