stestr | A parallel Python test runner built around subunit | Unit Testing library

 by   mtreinish Python Version: 4.1.0 License: Apache-2.0

kandi X-RAY | stestr Summary

kandi X-RAY | stestr Summary

stestr is a Python library typically used in Testing, Unit Testing applications. stestr has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install stestr' or download it from GitHub, PyPI.

A parallel Python test runner built around subunit
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            kandi-support Support

              stestr has a low active ecosystem.
              It has 18 star(s) with 26 fork(s). There are 5 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 19 open issues and 69 have been closed. On average issues are closed in 153 days. There are 4 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of stestr is 4.1.0

            kandi-Quality Quality

              stestr has 0 bugs and 0 code smells.

            kandi-Security Security

              stestr has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              stestr code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              stestr is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              stestr releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed stestr and discovered the below as its top functions. This is intended to give you an instant insight into stestr implemented functionality, and help decide if they suit your requirements.
            • Finds all files that match the given suffix .
            Get all kandi verified functions for this library.

            stestr Key Features

            No Key Features are available at this moment for stestr.

            stestr Examples and Code Snippets

            No Code Snippets are available at this moment for stestr.

            Community Discussions

            Trending Discussions on stestr

            QUESTION

            DevStack installation fails due to PyYAML
            Asked 2020-Aug-29 at 18:02

            I am attempting to install DevStack on a CentOS system. I have performed the necessary setup for running stack.sh, but when I run it I am getting the following failure:

            ...

            ANSWER

            Answered 2020-Aug-29 at 18:02

            I have found a solution to my problem:

            Do not use Devstack. Use Packstack.

            I have even posted a bug report on this problem for Devstack. It doesn't appear that it is going to be fixed in the near future. Consequently, those seeking to create a development installation should use Packstack. I was able to install and run Openstack with Packstack using the instructions provided in:

            https://www.linuxtechi.com/install-openstack-centos-8-with-packstack/

            Source https://stackoverflow.com/questions/63420633

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install stestr

            You can install using 'pip install stestr' or download it from GitHub, PyPI.
            You can use stestr like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            Install
          • PyPI

            pip install stestr

          • CLONE
          • HTTPS

            https://github.com/mtreinish/stestr.git

          • CLI

            gh repo clone mtreinish/stestr

          • sshUrl

            git@github.com:mtreinish/stestr.git

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