Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
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39 lines
1.2 KiB
39 lines
1.2 KiB
from pip._vendor.packaging.version import parse as parse_version
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from pip._internal.utils.models import KeyBasedCompareMixin
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from pip._internal.utils.typing import MYPY_CHECK_RUNNING
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if MYPY_CHECK_RUNNING:
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from pip._vendor.packaging.version import _BaseVersion
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from pip._internal.models.link import Link
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class InstallationCandidate(KeyBasedCompareMixin):
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"""Represents a potential "candidate" for installation.
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"""
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__slots__ = ["name", "version", "link"]
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def __init__(self, name, version, link):
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# type: (str, str, Link) -> None
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self.name = name
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self.version = parse_version(version) # type: _BaseVersion
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self.link = link
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super(InstallationCandidate, self).__init__(
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key=(self.name, self.version, self.link),
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defining_class=InstallationCandidate
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)
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def __repr__(self):
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# type: () -> str
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return "<InstallationCandidate({!r}, {!r}, {!r})>".format(
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self.name, self.version, self.link,
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)
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def __str__(self):
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# type: () -> str
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return '{!r} candidate (version {} at {})'.format(
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self.name, self.version, self.link,
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)
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