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            "Natural Language :: English",
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            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
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You can find more information about what libraries\n  are intended for test writers at:\n  http://avocado-framework.readthedocs.io/en/latest/api/utils/avocado.utils.html\n\n* Plugins that can extend and add new functionality to the Avocado\n  Framework.  More info at:\n  http://avocado-framework.readthedocs.io/en/latest/Plugins.html\n\nAvocado is built on the experience accumulated with Autotest\n(http://autotest.github.io), while improving on its weaknesses and\nshortcomings.\n\nInstalling Avocado\n==================\n\nAvocado is primarily written in Python, so a standard Python installation\nis possible and often preferable.\n\n.. tip:: If you are looking for Virtualization specific testing, also\n         consider looking at `Avocado-VT installation instructions\n         <https://avocado-vt.readthedocs.io/en/latest/GetStartedGuide.html#installing-avocado-vt>`_\n         after finishing the Avocado installation.\n\nInstalling with standard Python tools\n-------------------------------------\n\nThe simplest installation method is through ``pip``.  On most POSIX\nsystems with Python 3.4 (or later) and ``pip`` available, installation\ncan be performed with a single command::\n\n  pip install --user avocado-framework\n\nThis will fetch the Avocado package (and possibly some of its\ndependecies) from the PyPI repository, and will attempt to install it\nin the user's home directory (usually under ``~/.local``).\n\nTip: If you want to perform a system-wide installation, drop the\n``--user`` switch.\n\nIf you want even more isolation, Avocado can also be installed in a\nPython virtual environment. with no additional steps besides creating\nand activating the \"venv\" itself::\n\n  python -m venv /path/to/new/virtual_environment\n  . /path/to/new/virtual_environment/bin/activate\n  pip install avocado-framework\n\nPlease note that this installs the Avocado core functionality.  Many\nAvocado features are distributed as non-core plugins, also available\nas additional packages on PyPI.  You should be able to find them via\n``pip search avocado-framework-plugin | grep\navocado-framework-plugin``. Some of them are listed below:\n\n* ``avocado-framework-plugin-glib``: Execution of GLib Test Framework tests\n* ``avocado-framework-plugin-golang``: Execution of Golang tests\n* ``avocado-framework-plugin-loader-yaml``: Loads tests from YAML files\n* ``avocado-framework-plugin-result-html``: HTML Report for Jobs\n* ``avocado-framework-plugin-result-upload``: Propagate Job results to remote host\n* ``avocado-framework-plugin-resultsdb``: Propagate Job results to Resultsdb\n* ``avocado-framework-plugin-robot``: Execution of Robot Framework tests\n* ``avocado-framework-plugin-runner-docker``: Runner for Execution on Docker Containers\n* ``avocado-framework-plugin-runner-remote``: Runner for Remote Execution\n* ``avocado-framework-plugin-runner-vm``: Runner for libvirt VM Execution\n* ``avocado-framework-plugin-varianter-cit``: Varianter with combinatorial capabilities\n* ``avocado-framework-plugin-varianter-pict``: Varianter with combinatorial capabilities by PICT\n* ``avocado-framework-plugin-varianter-yaml-to-mux``: Parse YAML file into variants\n\nInstalling from Packages\n------------------------\n\nFedora\n~~~~~~\n\nAvocado is available in stock Fedora 24 and later.  The main package\nname is ``python-avocado``, and can be installed with::\n\n    dnf install python-avocado\n\nOther available packages (depending on the Avocado version) may include:\n\n* ``python-avocado-examples``: Avocado Test Framework Example Tests\n* ``python2-avocado-plugins-output-html``: Avocado HTML report plugin\n* ``python2-avocado-plugins-runner-remote``: Avocado Runner for Remote Execution\n* ``python2-avocado-plugins-runner-vm``: Avocado Runner for libvirt VM Execution\n* ``python2-avocado-plugins-resultsdb``: Avocado plugin to propagate job results to ResultsDB\n* ``python2-avocado-plugins-runner-docker``: Avocado Runner for Execution on Docker Containers\n* ``python2-avocado-plugins-varianter-yaml-to-mux``: Avocado plugin to generate variants out of yaml files\n\nFedora from Avocado's own Repo\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nThe Avocado project also makes the latest release, and the LTS (Long\nTerm Stability) releases available from its own package repository.\nTo use it, first get the package repositories configuration file by\nrunning the following command::\n\n    sudo curl https://avocado-project.org/data/repos/avocado-fedora.repo -o /etc/yum.repos.d/avocado.repo\n\nNow check if you have the ``avocado`` and ``avocado-lts`` repositories configured by running::\n\n    sudo dnf repolist avocado avocado-lts\n    ...\n    repo id      repo name                          status\n    avocado      Avocado                            50\n    avocado-lts  Avocado LTS (Long Term Stability)  disabled\n\nRegular users of Avocado will want to use the standard ``avocado``\nrepository, which tracks the latest Avocado releases.  For more\ninformation about the LTS releases, please refer to the Avocado Long\nTerm Stability thread\n(https://www.redhat.com/archives/avocado-devel/2016-April/msg00038.html)\nand to your package management docs on how to switch to the\n``avocado-lts`` repo.\n\nFinally, after deciding between regular Avocado releases or LTS, you\ncan install the RPM packages by running the following commands::\n\n    dnf install python-avocado\n\nAdditionally, other Avocado packages are available for Fedora:\n\n* ``python-avocado-examples``: contains example tests and other example files\n* ``python2-avocado-plugins-output-html``: HTML job report plugin\n* ``python2-avocado-plugins-resultsdb``: propagate Job results to Resultsdb\n* ``python2-avocado-plugins-runner-remote``: execution of jobs on a remote machine\n* ``python2-avocado-plugins-runner-vm``: execution of jobs on a libvirt based VM\n* ``python2-avocado-plugins-runner-docker``: execution of jobs on a Docker container\n* ``python-avocado-plugins-varianter-yaml-to-mux``: parse YAML file into variants\n* ``python2-avocado-plugins-varianter-pict``: varianter with combinatorial capabilities by PICT\n\nEnterprise Linux\n~~~~~~~~~~~~~~~~\n\nAvocado packages for Enterprise Linux are available from the Avocado\nproject RPM repository.  Additionally, some packages from the EPEL repo are\nnecessary, so you need to enable it first.  For EL7, running the\nfollowing command should do it::\n\n    yum install https://dl.fedoraproject.org/pub/epel/epel-release-latest-7.noarch.rpm\n\nThen you must use the Avocado project RHEL repo\n(https://avocado-project.org/data/repos/avocado-el.repo).\nRunning the following command should give you the basic Avocado\ninstallation ready::\n\n    curl https://avocado-project.org/data/repos/avocado-el.repo -o /etc/yum.repos.d/avocado.repo\n    yum install python-avocado\n\nOther available packages (depending on the Avocado version) may include:\n\n* ``python-avocado-bash``: Avocado Test Framework Bash Utilities\n* ``python-avocado-common``: Avocado common files\n* ``python-avocado-examples``: Avocado Test Framework Example Tests\n* ``python2-avocado-plugins-glib``: Avocado Plugin for Execution of GLib Test Framework tests\n* ``python2-avocado-plugins-golang``: Avocado Plugin for Execution of golang tests\n* ``python2-avocado-plugins-loader-yaml``: Avocado Plugin that loads tests from YAML files\n* ``python2-avocado-plugins-output-html``: Avocado HTML report plugin\n* ``python2-avocado-plugins-result-upload``: Avocado Plugin to propagate Job results to a remote host\n* ``python2-avocado-plugins-resultsdb``: Avocado plugin to propagate job results to ResultsDB\n* ``python2-avocado-plugins-runner-docker``: Avocado Runner for Execution on Docker Containers\n* ``python2-avocado-plugins-runner-remote``: Avocado Runner for Remote Execution\n* ``python2-avocado-plugins-runner-vm``: Avocado Runner for libvirt VM Execution\n* ``python2-avocado-plugins-varianter-cit``: Varianter with Combinatorial Independent Testing capabilities\n* ``python2-avocado-plugins-varianter-pict``: Varianter with combinatorial capabilities by PICT\n* ``python2-avocado-plugins-varianter-yaml-to-mux``: Avocado plugin to generate variants out of yaml files\n\nThe LTS (Long Term Stability) repositories are also available for\nEnterprise Linux.  For more information about the LTS releases, please\nrefer to\nhttp://avocado-framework.readthedocs.io/en/latest/rfcs/LongTermStability.html\nand to your package management docs on how to switch to the\n``avocado-lts`` repo.\n\nLatest Development RPM Packages from COPR\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nAvocado provides a repository of continuously built packages from the\nGitHub repository's master branch.  These packages are currently\navailable for EL7, Fedora 28 and Fedora 29, for both x86_64 and\nppc64le.\n\nIf you're interested in using the very latest development version of\nAvocado from RPM packages, you can do so by running::\n\n  dnf copr enable @avocado/avocado-latest\n  dnf install python*-avocado*\n\nThe following image shows the status of the Avocado packages building\non COPR:\n\n  .. image:: https://copr.fedorainfracloud.org/coprs/g/avocado/avocado-latest/package/python-avocado/status_image/last_build.png\n     :target: https://copr.fedorainfracloud.org/coprs/g/avocado/avocado-latest/package/python-avocado/\n\nOpenSUSE\n~~~~~~~~\n\nThe OpenSUSE project packages LTS versions of Avocado\n(https://build.opensuse.org/package/show/Virtualization:Tests/avocado).\nYou can install packages by running the following commands::\n\n  zypper install avocado\n\nDebian\n~~~~~~\n\nDEB package support is available in the source tree (look at the\n``contrib/packages/debian`` directory.  No actual packages are\nprovided by the Avocado project or the Debian repos.\n\n\nSetting up a Development Environment\n====================================\n\nIf you want to develop Avocado, or just run it directly from the GIT\nrepository, fetch the source code and run::\n\n  make develop\n\nFrom this point on, running ``avocado`` should load everything from\nyour current source code checkout.\n\nBrief Usage Instructions\n========================\n\nTo list available tests, call the ``list`` subcommand.  For example::\n\n  avocado list\n\n  INSTRUMENTED <examples_path>/tests/abort.py:AbortTest.test\n  INSTRUMENTED <examples_path>/tests/canceltest.py:CancelTest.test\n  ...\n  SIMPLE       <examples_path>/tests/passtest.sh\n\nTo run a test, call the ``run`` command::\n\n  avocado run <examples_path>/tests/passtest.sh\n  JOB ID     : <id>\n  JOB LOG    : <job-results>/job-<date>-<shortid>/job.log\n  (1/1) <examples_path>/tests/passtest.sh: PASS (0.04 s)\n  RESULTS    : PASS 1 | ERROR 0 | FAIL 0 | SKIP 0 | WARN 0 | INTERRUPT 0 | CANCEL 0\n  JOB TIME   : 0.14 s\n\nTo continue exploring Avocado, check out the output of ``avocado --help``.  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