nose2 | The successor to nose, based on unittest2 | Unit Testing library

by nose-devs Python Version: 0.15.1 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | nose2 Summary

nose2 is a Python library typically used in Testing, Unit Testing applications. nose2 has no bugs, it has no vulnerabilities, it has build file available and it has high support. However nose2 has a Non-SPDX License. You can install using 'pip install nose2' or download it from GitHub, PyPI.

The successor to nose, based on unittest2

Support

Quality

Security

License

Reuse

Support

nose2 has a highly active ecosystem.

It has 756 star(s) with 137 fork(s). There are 23 watchers for this library.

There were 2 major release(s) in the last 6 months.

There are 51 open issues and 215 have been closed. On average issues are closed in 503 days. There are 1 open pull requests and 0 closed requests.

It has a negative sentiment in the developer community.

The latest version of nose2 is 0.15.1

Quality

nose2 has 0 bugs and 0 code smells.

Security

nose2 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

nose2 code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

nose2 has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

nose2 releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

nose2 saves you 4986 person hours of effort in developing the same functionality from scratch.

It has 11580 lines of code, 1466 functions and 224 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed nose2 and discovered the below as its top functions. This is intended to give you an instant insight into nose2 implemented functionality, and help decide if they suit your requirements.

Creates a test outcome
Clean up string
Returns the current time
Return the ISO - 8601 timestamp
Return a test suite
Prepares the sys path for loading
Load configuration files
Set the start directory
Run a test
Load tests from an event
Load testcases from an event
Report coverage report
Called when the module is loaded
Report a test outcome
Decorator to add a test
Run parser
Parse command line arguments
Execute a test test
Return the package name from a path
Print profiling results
Loads test from an event
Sets up a test
Add a test setup
Add a test teardown function to the group
Return the name of a test
Runs test outcome

Get all kandi verified functions for this library.

nose2 Key Features

No Key Features are available at this moment for nose2.

nose2 Examples and Code Snippets

No Code Snippets are available at this moment for nose2.

Community Discussions

Trending Discussions on nose2

Getting a "Can't pickle local object 'LiveServerTestCase'" error when trying to use LiveServerTestCase to test Flask app

Python Coverage how to generate Unittest report

Subprocesses not running with pytest Error Processing Test

QUESTION

Getting a "Can't pickle local object 'LiveServerTestCase'" error when trying to use LiveServerTestCase to test Flask app

Asked 2020-Oct-23 at 16:47

I am getting the error mentioned in the title once trying to run a unittest on my Flask app using LiveServerTestCase from flask_testing.

This is my test file:

...

ANSWER

Answered 2020-Oct-12 at 17:50

Can't really identify what could be the cause. But sorry to ask, have you checked the flask version you are using and it's current compatibility with your python version.

Source https://stackoverflow.com/questions/64305197

QUESTION

Python Coverage how to generate Unittest report

Asked 2020-Aug-04 at 17:58

In python I can get test coverage by coverage run -m unittest and the do coverage report -m / coverage html to get html report. However, it does not show the actual unit test report. The unit test result is in the logs, but I would like to capture it in a xml or html, so I can integrate it with Jenkins and publish on each build. This way user does not have to dig into logs.

I tried to find solution to this but could not find any, please let me know, how we can get this using coverage tool.

I can get this using nose2 - nose2 --html-report --with-coverage --coverage-report html - this will generate two html report - one for unit test and other for coverage. But for some reason this fails when I run with actual project (no coverage data collected / reported)

...

ANSWER

Answered 2020-Aug-04 at 17:58

Ok for those who end up here , I solved it with - nose2 --html-report --with-coverage --coverage-report html --coverage ./

The issue I was having earlier with 'no coverage data' was fixed by specifying the the directory where the coverage should be reported, in the command above its with --coverage ./

Source https://stackoverflow.com/questions/63195130

QUESTION

Subprocesses not running with pytest Error Processing Test

Asked 2020-Feb-19 at 18:54

I am currently converting my unittest setup over to pytest, everything is working however on certain tests I run a command line process in order to load code into the hardware I have attached via USB. this process works fine with unittest however when using pytest or nose2 I get the response

...

ANSWER

Answered 2020-Feb-19 at 18:54

subprocess.CompletedProcess(args=[command], returncode = SUCCESSFUL_RETURNCODE)

Source https://stackoverflow.com/questions/60281122

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

Vulnerabilities

No vulnerabilities reported

Install nose2

You can install using 'pip install nose2' or download it from GitHub, PyPI.
You can use nose2 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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