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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 Superseded by reCTBN.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/distributions/wheel.py

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from zipfile import ZipFile
from pip._internal.distributions.base import AbstractDistribution
from pip._internal.utils.typing import MYPY_CHECK_RUNNING
from pip._internal.utils.wheel import pkg_resources_distribution_for_wheel
if MYPY_CHECK_RUNNING:
from pip._vendor.pkg_resources import Distribution
from pip._internal.index.package_finder import PackageFinder
class WheelDistribution(AbstractDistribution):
"""Represents a wheel distribution.
This does not need any preparation as wheels can be directly unpacked.
"""
def get_pkg_resources_distribution(self):
# type: () -> Distribution
"""Loads the metadata from the wheel file into memory and returns a
Distribution that uses it, not relying on the wheel file or
requirement.
"""
# Set as part of preparation during download.
assert self.req.local_file_path
# Wheels are never unnamed.
assert self.req.name
with ZipFile(self.req.local_file_path, allowZip64=True) as z:
return pkg_resources_distribution_for_wheel(
z, self.req.name, self.req.local_file_path
)
def prepare_distribution_metadata(self, finder, build_isolation):
# type: (PackageFinder, bool) -> None
pass