Source: execnet Priority: optional Maintainer: Debian Python Modules Team Uploaders: Scott Talbert Build-Depends: debhelper (>= 9), dh-python, python-all (>= 2.6.6-3), python3-all, python-apipkg (>= 1.4), python3-apipkg, python-setuptools, python3-setuptools, python-setuptools-scm, python3-setuptools-scm, python-pytest, python3-pytest, python3-sphinx Standards-Version: 4.2.1 Section: python Homepage: http://codespeak.net/execnet/ Vcs-Git: https://salsa.debian.org/python-team/modules/execnet.git Vcs-Browser: https://salsa.debian.org/python-team/modules/execnet Package: python-execnet Architecture: all Depends: ${python:Depends}, ${misc:Depends}, python-apipkg (>= 1.4) Suggests: execnet-doc Description: rapid multi-Python deployment (Python 2) execnet provides carefully tested means to ad-hoc interact with Python interpreters across version, platform and network barriers. It provides a minimal and fast API targeting the following uses: . * distribute tasks to local or remote CPUs * write and deploy hybrid multi-process applications * write scripts to administer a bunch of exec environments . This package contains execnet for Python 2. Package: python3-execnet Architecture: all Depends: ${python3:Depends}, ${misc:Depends} Suggests: execnet-doc Description: rapid multi-Python deployment (Python 3) execnet provides carefully tested means to ad-hoc interact with Python interpreters across version, platform and network barriers. It provides a minimal and fast API targeting the following uses: . * distribute tasks to local or remote CPUs * write and deploy hybrid multi-process applications * write scripts to administer a bunch of exec environments . This package contains execnet for Python 3. Package: execnet-doc Architecture: all Section: doc Depends: ${misc:Depends}, ${sphinxdoc:Depends} Recommends: python-execnet | python3-execnet Breaks: python-execnet (<= 1.4.1-0.1) Replaces: python-execnet (<= 1.4.1-0.1) Description: rapid multi-Python deployment (docs) execnet provides carefully tested means to ad-hoc interact with Python interpreters across version, platform and network barriers. It provides a minimal and fast API targeting the following uses: . * distribute tasks to local or remote CPUs * write and deploy hybrid multi-process applications * write scripts to administer a bunch of exec environments . This package contains the documentation.