python-asserts | Stand-alone Assertions for Python | Assertion library
kandi X-RAY | python-asserts Summary
kandi X-RAY | python-asserts Summary
python-asserts is a Python library typically used in Testing, Assertion applications. python-asserts has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However python-asserts build file is not available. You can install using 'pip install python-asserts' or download it from GitHub, PyPI.
[Travis CI] Stand-alone Assertions for Python.
[Travis CI] Stand-alone Assertions for Python.
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Quality
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Support
python-asserts has a low active ecosystem.
It has 10 star(s) with 0 fork(s). There are 5 watchers for this library.
It had no major release in the last 12 months.
There are 6 open issues and 13 have been closed. On average issues are closed in 451 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of python-asserts is v0.11.1
Quality
python-asserts has no bugs reported.
Security
python-asserts has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
python-asserts is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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python-asserts releases are available to install and integrate.
Deployable package is available in PyPI.
python-asserts has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed python-asserts and discovered the below as its top functions. This is intended to give you an instant insight into python-asserts implemented functionality, and help decide if they suit your requirements.
- Fail if two dictionaries are equal .
- Assert that the value is a subset of two JSON objects .
- Raises an AssertionError if two dictionaries are not equal .
- Fail if two sequences are equal .
- Fail if first is not equal .
- Fail if a given exception is raised .
- Raises an AssertionError .
- Fail if first .
- Fail if an exception raises an error .
- Creates an AssertWarn for a given warning .
Get all kandi verified functions for this library.
python-asserts Key Features
No Key Features are available at this moment for python-asserts.
python-asserts Examples and Code Snippets
No Code Snippets are available at this moment for python-asserts.
Community Discussions
Trending Discussions on python-asserts
QUESTION
Best practice of using unittest kind asserts (like assertNotIn) in standalone pytest tests?
Asked 2018-Apr-27 at 17:24
In standalone pytest test cases I would like to use assertions like unittest.TestCase.assertNotIn (and unittests other asserts) without any dependency on the uniittest module. Is best practice to use libraries like python-assert?
ANSWER
Answered 2018-Apr-27 at 15:50The best practice is using the language assert statement, which yields the unittest's assert* methods unnecessary. Compare
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install python-asserts
You can install using 'pip install python-asserts' or download it from GitHub, PyPI.
You can use python-asserts 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.
You can use python-asserts 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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