Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
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93 lines
2.0 KiB
93 lines
2.0 KiB
4 years ago
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"""
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****
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YAML
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****
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Read and write NetworkX graphs in YAML format.
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"YAML is a data serialization format designed for human readability
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and interaction with scripting languages."
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See http://www.yaml.org for documentation.
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Format
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------
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http://pyyaml.org/wiki/PyYAML
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"""
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__all__ = ["read_yaml", "write_yaml"]
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from networkx.utils import open_file
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@open_file(1, mode="w")
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def write_yaml(G_to_be_yaml, path_for_yaml_output, **kwds):
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"""Write graph G in YAML format to path.
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YAML is a data serialization format designed for human readability
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and interaction with scripting languages [1]_.
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Parameters
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----------
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G : graph
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A NetworkX graph
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path : file or string
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File or filename to write.
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Filenames ending in .gz or .bz2 will be compressed.
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Notes
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-----
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To use encoding on the output file include e.g. `encoding='utf-8'`
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in the keyword arguments.
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Examples
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--------
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>>> G = nx.path_graph(4)
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>>> nx.write_yaml(G, "test.yaml")
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References
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----------
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.. [1] http://www.yaml.org
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"""
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try:
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import yaml
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except ImportError as e:
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raise ImportError("write_yaml() requires PyYAML: http://pyyaml.org/") from e
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yaml.dump(G_to_be_yaml, path_for_yaml_output, **kwds)
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@open_file(0, mode="r")
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def read_yaml(path):
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"""Read graph in YAML format from path.
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YAML is a data serialization format designed for human readability
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and interaction with scripting languages [1]_.
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Parameters
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----------
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path : file or string
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File or filename to read. Filenames ending in .gz or .bz2
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will be uncompressed.
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Returns
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-------
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G : NetworkX graph
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Examples
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--------
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>>> G = nx.path_graph(4)
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>>> nx.write_yaml(G, "test.yaml")
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>>> G = nx.read_yaml("test.yaml")
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References
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----------
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.. [1] http://www.yaml.org
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"""
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try:
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import yaml
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except ImportError as e:
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raise ImportError("read_yaml() requires PyYAML: http://pyyaml.org/") from e
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G = yaml.load(path, Loader=yaml.FullLoader)
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return G
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