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Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍 https://github.com/madlabunimib/PyCTBN
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PyCTBN/venv/lib/python3.9/site-packages/pip/_internal/models/candidate.py

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from pip._vendor.packaging.version import parse as parse_version
from pip._internal.utils.models import KeyBasedCompareMixin
from pip._internal.utils.typing import MYPY_CHECK_RUNNING
if MYPY_CHECK_RUNNING:
from pip._vendor.packaging.version import _BaseVersion
from pip._internal.models.link import Link
class InstallationCandidate(KeyBasedCompareMixin):
"""Represents a potential "candidate" for installation.
"""
__slots__ = ["name", "version", "link"]
def __init__(self, name, version, link):
# type: (str, str, Link) -> None
self.name = name
self.version = parse_version(version) # type: _BaseVersion
self.link = link
super(InstallationCandidate, self).__init__(
key=(self.name, self.version, self.link),
defining_class=InstallationCandidate
)
def __repr__(self):
# type: () -> str
return "<InstallationCandidate({!r}, {!r}, {!r})>".format(
self.name, self.version, self.link,
)
def __str__(self):
# type: () -> str
return '{!r} candidate (version {} at {})'.format(
self.name, self.version, self.link,
)