forked from openkylin/python-installer
60 lines
2.1 KiB
Plaintext
60 lines
2.1 KiB
Plaintext
Source: python-installer
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Section: python
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Priority: optional
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Maintainer: OpenKylin Developers <packaging@lists.openkylin.top>
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Homepage: https://github.com/pypa/installer/
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Vcs-Git: https://gitee.com/openkylin/python-installer.git
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Vcs-Browser: https://gitee.com/openkylin/python-installer/
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Build-Depends:
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debhelper-compat (= 13),
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dh-python (>> 5.20211016~),
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dh-sequence-python3,
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dh-sequence-sphinxdoc <!nodoc>,
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flit,
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pybuild-plugin-pyproject,
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python3-all,
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python3-mock <!nocheck>,
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python3-myst-parser <!nodoc>,
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python3-pytest <!nocheck>,
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python3-setuptools,
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python3-sphinx <!nodoc>,
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python3-sphinx-argparse <!nodoc>,
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Standards-Version: 4.6.1
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Rules-Requires-Root: no
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Package: python3-installer
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Architecture: all
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Depends:
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${misc:Depends},
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${python3:Depends},
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Suggests:
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python-installer-doc,
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Description: Python library for unpacking and installing wheels
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"installer" is a low-level library for installing a Python package from a
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wheel distribution; the wheel is the basic unit of Python module
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distribution to end users. It provides basic functionality and abstractions
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for handling wheels and installing packages from wheels, including:
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.
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* Logic for "unpacking" a wheel (i.e. installation).
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* Abstractions for various parts of the unpacking process.
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* Extensible simple implementations of the abstractions.
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* Platform-independent Python script wrapper generation.
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Package: python-installer-doc
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Architecture: all
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Section: doc
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Depends:
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${sphinxdoc:Depends},
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${misc:Depends},
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Multi-Arch: foreign
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Description: Python library for unpacking and installing wheels (documentation)
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"installer" is a low-level library for installing a Python package from a
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wheel distribution; the wheel is the basic unit of Python module
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distribution to end users. It provides basic functionality and abstractions
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for handling wheels and installing packages from wheels, including:
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.
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* Logic for "unpacking" a wheel (i.e. installation).
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* Abstractions for various parts of the unpacking process.
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* Extensible simple implementations of the abstractions.
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* Platform-independent Python script wrapper generation.
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