coveralls-python | Show coverage stats online via coveralls.io | Functional Testing library
kandi X-RAY | coveralls-python Summary
kandi X-RAY | coveralls-python Summary
Show coverage stats online via coveralls.io
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Top functions reviewed by kandi - BETA
- Submit a report to GitHub
- Create the data for the coverage
- Create the report
- Get coverage
- Performs the parallel processing of the build
- Create a coverage report
- Returns a list of branch lines
- Parse a single file
- Return the number of hits for a given line number
- Load configuration
- Load configuration from the environment
- Load the configuration from the current working directory
- Load configuration from buildkite
- Save the coverage report
- Wrap the report
- Submit a report
- Branch
- Merge data from a JSON file
coveralls-python Key Features
coveralls-python Examples and Code Snippets
Community Discussions
Trending Discussions on coveralls-python
QUESTION
We run tests on each pull request in github.
It would be very cool if the coverage would be visible if you are looking at the changes of a pull request.
While looking at the diff in the PR review I would like to see which line was covered and which line not.
We use pytest and travis.
I found this: https://github.com/TheKevJames/coveralls-python But AFAIK this shows the coverage reports somewhere else, not in the "Files changed" tab of the PR.
This question is not about reaching a overall coverage of X percent. This question is about seeing which lines where covered and which lines where not covered.
...ANSWER
Answered 2021-May-27 at 09:56You can output the code coverage into the README file, this way you will see the code coverage when you are in the "Files changed" tab AND when you access the project's page.
QUESTION
Coveralls python wrapper (python-coveralls) recently received a major update (2.2.0 -> 3.0.0) and my github-actions workflow is no longer running.
This is the relevant part of my workflow:
...ANSWER
Answered 2021-Jan-12 at 22:53You could try adding the service name as state in the release notes and mentioned here: https://github.com/coveralls-clients/coveralls-python/issues/251
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install coveralls-python
You can use coveralls-python 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.
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