python-testing | Python Testing and Continuous Integration | Continous Integration library

by carpentries-incubator Python Version: Current License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(4)Vulnerabilities Install Support

kandi X-RAY | python-testing Summary

python-testing is a Python library typically used in Devops, Continous Integration applications. python-testing has no bugs, it has no vulnerabilities, it has build file available and it has low support. However python-testing has a Non-SPDX License. You can download it from GitHub.

Python Testing and Continuous Integration

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Quality

Security

License

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Support

python-testing has a low active ecosystem.

It has 46 star(s) with 38 fork(s). There are 9 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 7 have been closed. On average issues are closed in 118 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of python-testing is current.

Quality

python-testing has 0 bugs and 0 code smells.

Security

python-testing has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

python-testing code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

python-testing 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

python-testing releases are not available. You will need to build from source code and install.

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

It has 1243 lines of code, 88 functions and 12 files.

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

Top functions reviewed by kandi - BETA

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

Check the files in source_dir
Add a message to the queue
Check for errors
Split the metadata into metadata and text
Check for blank lines in raw text
Check the category of two entries
Parse command line arguments
Require a condition
Check for missing figures
Prints the messages to the given stream
Return the URL of the git repository
Return True if the node matches the pattern
Check for missing labels
Get the labels for the repository
Check configuration
Check the value of a field
Load yaml file
Read all markdown files
Parse a Markdown file
Check metadata
Check for missing metadata fields
Check for missing files
Get images from markdown
Create a checker instance
Check if condition is met
Save a list of images

Get all kandi verified functions for this library.

python-testing Key Features

No Key Features are available at this moment for python-testing.

python-testing Examples and Code Snippets

No Code Snippets are available at this moment for python-testing.

Community Discussions

Trending Discussions on python-testing

What does the instance argument in Python's create_autospec do?

Python unittests with `-s` and `-t` throw AssertionError: Path must be within the project

Unittest and mocks, how to reset them?

Getting Started With Testing in Python

QUESTION

What does the instance argument in Python's create_autospec do?

Asked 2021-Apr-25 at 22:30

I'm playing around with mock autospecs in Python. Here's a basic test case where I'm autospecing the Django User class using create_autospec.

...

ANSWER

Answered 2021-Apr-25 at 22:30

Consider mocking the int class. int is callable, like most classes, so a mock of the int class should also be callable.

On the other hand, consider mocking an int instance. Integers are not callable, so a mock of an integer should also not be callable.

The instance argument lets you control which of these behaviors you get. create_autospec(int, instance=False) returns a callable mock, while create_autospec(int, instance=True) returns a non-callable mock. If you do

Source https://stackoverflow.com/questions/67258566

QUESTION

Python unittests with `-s` and `-t` throw AssertionError: Path must be within the project

Asked 2021-Apr-22 at 11:42

I want to execute unittests for my project. Inside the project root, I use a src folder for my code and a tests folder for my unittests. This is my project structure:

...

ANSWER

Answered 2021-Apr-22 at 08:30

I think the issue is with the test discovery.

... all of the test files must be modules or packages (including namespace packages) importable from the top-level directory of the project ...

You are specifying src as the top-level directory (python -m unittest discover -s tests -t src) and the tests are not importable in the src directory.

Source https://stackoverflow.com/questions/67191346

QUESTION

Unittest and mocks, how to reset them?

Asked 2020-Nov-19 at 11:31

I am testing a class that needs a mock in the constructor, so I usually do this:

...

ANSWER

Answered 2020-Nov-10 at 10:11

BTW, this is a unittest question, not a pytest question.

Anyways,

I believe what you're looking for is reset_mock

Here's, in general, how it works:

Source https://stackoverflow.com/questions/64766354

QUESTION

Getting Started With Testing in Python

Asked 2020-Jul-09 at 11:22

I'm a beginner in testing in Python. I'm working on Linux. I'm trying to do this tutorial: https://realpython.com/python-testing/ . I run this code:

...

ANSWER

Answered 2020-Jul-09 at 11:17

Your code works fine. It looks like an issue with how PyCharm calls the script. Try adding a configuration:

To the top right, click Edit Configurations
In the window click +
Choose Python in the template list to the left.
To the right set Script path to the path of your script. (Assuming the file is called test.py that would be /path/to/project/test.py
Save the configuration (you might have to choose an interpreter from the dropdown before)
Run the script by using the green Play-Icon in the top right.

This worked really well for me and the outcome was what was described in the tutorial you linked.

Source https://stackoverflow.com/questions/62813416

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

Vulnerabilities

No vulnerabilities reported

Install python-testing

You can download it from GitHub.
You can use python-testing 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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