Source: python-xopen Maintainer: Debian Med Packaging Team Uploaders: Andreas Tille Section: python Testsuite: autopkgtest-pkg-python Priority: optional Build-Depends: debhelper (>= 12~), dh-python, python, python-setuptools, python-nose, python-bz2file, python-setuptools-scm, python-pytest, python3, python3-setuptools, python3-nose, python3-bz2file, python3-setuptools-scm, python3-pytest Standards-Version: 4.3.0 Vcs-Browser: https://salsa.debian.org/med-team/python-xopen Vcs-Git: https://salsa.debian.org/med-team/python-xopen.git Homepage: https://github.com/marcelm/xopen Package: python-xopen Architecture: all Depends: ${python:Depends}, ${misc:Depends}, python-pkg-resources, python-bz2file Provides: ${python:Provides} Description: Python module to open compressed files transparently This small Python module provides a xopen function that works like the built-in open function, but can also deal with compressed files. Supported compression formats are gzip, bzip2 and xz. They are automatically recognized by their file extensions .gz, .bz2 or .xz. . The focus is on being as efficient as possible on all supported Python versions. For example, simply using gzip.open is slow in older Pythons, and it is a lot faster to use a gzip subprocess. . This module has originally been developed as part of the cutadapt tool that is used in bioinformatics to manipulate sequencing data. It has been in successful use within that software for a few years. . This is the Python 2 version. Package: python3-xopen Architecture: all Depends: ${python3:Depends}, ${misc:Depends}, python3-pkg-resources Description: Python3 module to open compressed files transparently This small Python3 module provides a xopen function that works like the built-in open function, but can also deal with compressed files. Supported compression formats are gzip, bzip2 and xz. They are automatically recognized by their file extensions .gz, .bz2 or .xz. . The focus is on being as efficient as possible on all supported Python versions. For example, simply using gzip.open is slow in older Pythons, and it is a lot faster to use a gzip subprocess. . This module has originally been developed as part of the cutadapt tool that is used in bioinformatics to manipulate sequencing data. It has been in successful use within that software for a few years. . This is the Python3 version.