Source: python-freezerclient Section: python Priority: optional Maintainer: Debian OpenStack Uploaders: Michal Arbet , Thomas Goirand , Build-Depends: debhelper-compat (= 11), dh-python, openstack-pkg-tools, python3-all, python3-pbr, python3-setuptools, python3-sphinx, Build-Depends-Indep: python3-astroid, python3-cliff, python3-isort, python3-keystoneauth1, python3-openstackdocstheme, python3-oslo.serialization, python3-oslo.utils, python3-stestr, python3-testtools, Standards-Version: 4.4.1 Vcs-Git: https://salsa.debian.org/openstack-team/clients/python-freezerclient.git Vcs-Browser: https://salsa.debian.org/openstack-team/clients/python-freezerclient Homepage: https://github.com/openstack/python-freezerclient.git Package: python3-freezerclient Section: python Architecture: all Depends: python3-cliff, python3-keystoneauth1, python3-oslo.serialization, python3-oslo.utils, python3-setuptools, ${misc:Depends}, ${python3:Depends}, Description: OpenStack backup restore and disaster recovery service - client files Freezer is a distributed backup restore and disaster recovery as a service platform. It is designed to be multi OS (Linux, Windows, OSX, *BSD), focused on providing efficiency and flexibility for block based backups, file based incremental backups, point-in-time actions, jobs synchronization (i.e. backup synchronization over multiple nodes) and many other features. It is aimed at being useful for all environments, including large ephemeral Clouds. . This package contains the Python 3.x module. Package: python-freezerclient-doc Section: doc Architecture: all Depends: ${misc:Depends}, ${sphinxdoc:Depends}, Description: OpenStack backup restore and disaster recovery service - doc files Freezer is a distributed backup restore and disaster recovery as a service platform. It is designed to be multi OS (Linux, Windows, OSX, *BSD), focused on providing efficiency and flexibility for block based backups, file based incremental backups, point-in-time actions, jobs synchronization (i.e. backup synchronization over multiple nodes) and many other features. It is aimed at being useful for all environments, including large ephemeral Clouds. . This package contains the documentation.