Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
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76 lines
1.9 KiB
76 lines
1.9 KiB
"""
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NetworkX
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========
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NetworkX is a Python package for the creation, manipulation, and study of the
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structure, dynamics, and functions of complex networks.
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See https://networkx.github.io for complete documentation.
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"""
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import sys
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if sys.version_info[:2] < (3, 6):
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m = "Python 3.6 or later is required for NetworkX (%d.%d detected)."
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raise ImportError(m % sys.version_info[:2])
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del sys
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# Release data
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from networkx import release
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__author__ = (
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f"{release.authors['Hagberg'][0]} <{release.authors['Hagberg'][1]}>\n"
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f"{release.authors['Schult'][0]} <{release.authors['Schult'][1]}>\n"
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f"{release.authors['Swart'][0]} <{release.authors['Swart'][1]}>"
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)
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__date__ = release.date
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__version__ = release.version
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__bibtex__ = """@inproceedings{hagberg-2008-exploring,
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author = {Aric A. Hagberg and Daniel A. Schult and Pieter J. Swart},
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title = {Exploring network structure, dynamics, and function using {NetworkX}},
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year = {2008},
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month = Aug,
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urlpdf = {http://math.lanl.gov/~hagberg/Papers/hagberg-2008-exploring.pdf},
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booktitle = {Proceedings of the 7th Python in Science Conference (SciPy2008)},
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editors = {G\"{a}el Varoquaux, Travis Vaught, and Jarrod Millman},
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address = {Pasadena, CA USA},
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pages = {11--15}
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}"""
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# These are import orderwise
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from networkx.exception import *
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import networkx.utils
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import networkx.classes.filters
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import networkx.classes
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from networkx.classes import *
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import networkx.convert
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from networkx.convert import *
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import networkx.convert_matrix
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from networkx.convert_matrix import *
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import networkx.relabel
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from networkx.relabel import *
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import networkx.generators
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from networkx.generators import *
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import networkx.readwrite
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from networkx.readwrite import *
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# Need to test with SciPy, when available
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import networkx.algorithms
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from networkx.algorithms import *
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import networkx.linalg
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from networkx.linalg import *
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from networkx.testing.test import run as test
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import networkx.drawing
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from networkx.drawing import *
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