test_repository | public repository for shared test cases scenarios | Runtime Evironment library

by qaviton Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | test_repository Summary

test_repository is a Python library typically used in Server, Runtime Evironment, Nodejs applications. test_repository has no bugs, it has no vulnerabilities and it has low support. However test_repository build file is not available. You can download it from GitHub.

our public repository for shared test cases scenarios, utilities, services and code examples meant to help the community build tests faster for their projects

Support

Quality

Security

License

Reuse

Support

test_repository has a low active ecosystem.

It has 6 star(s) with 5 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

There are 86 open issues and 14 have been closed. On average issues are closed in 60 days. There are 9 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of test_repository is current.

Quality

test_repository has 0 bugs and 0 code smells.

Security

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

test_repository code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

test_repository does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

test_repository 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.

It has 1533 lines of code, 159 functions and 100 files.

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

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test_repository Key Features

No Key Features are available at this moment for test_repository.

test_repository Examples and Code Snippets

No Code Snippets are available at this moment for test_repository.

Community Discussions

Trending Discussions on test_repository

Path fixing in Codecov: some files work others not

QUESTION

Path fixing in Codecov: some files work others not

Asked 2021-Sep-11 at 13:34

I have a project to casually play around with C++ test coverage. (https://github.com/adomasbaliuka/test_repository, question refers to commits 58e2802f76e8eb7819209c9d518b0ffe76690d15 and ca36a4fd0e38bc47204a155614c498936d43dc90)

The question concerns GitHub and Codecov.io, so maybe I should ask their support, but StackOverflor has tags for these things, so I assume it's OK.

The coverage with codecov.io is working (https://app.codecov.io/gh/adomasbaliuka/test_repository). However, I would like to see the actual source code and line coverage to also test this feature of codecov.io. It works fine on one of my files (test/test_main.cpp) but I can't get it to work on the other source file (src/version/version.cpp), even though codecov.io correctly displays both paths and the paths inside the uploaded codecov.xml file (which I print to console in my CI runs, so they can also be viewed in the GitHub Actions) look conceptually exactly the same:

(codecov.xml file contents:

...

ANSWER

Answered 2021-Sep-10 at 22:47

Tom from Codecov here. I think you might need to do

Source https://stackoverflow.com/questions/69138480

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

Vulnerabilities

No vulnerabilities reported

Install test_repository

You can download it from GitHub.
You can use test_repository 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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