mockito-python | Mockito is a spying framework | Mock library
kandi X-RAY | mockito-python Summary
kandi X-RAY | mockito-python Summary
Mockito is a spying framework
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Top functions reviewed by kandi - BETA
- Uninstubs all registered mocks
- Returns all registered mock objects
- Return a list of values
- Clear the store
- Return signature for given method name
- Get the signature of an object
- Get a value from the cache
- Unstubs the given object
- Remove the key from the set
- Remove key from the store
- Unstub the stub
- Restore a method to the mocked object
- Set a method on the mocked object
- Return the mock for the given object
mockito-python Key Features
mockito-python Examples and Code Snippets
Community Discussions
Trending Discussions on mockito-python
QUESTION
I've been searching around on internet for online introductions to python-mockito, but there isn't so many resources available at this moment, their documentation seem very "for not-beginners" to me.
I saw many more content creating mock objects on python with unittest, but I applied for a job and they are requiring the mockito-python framework.
At this moment I don't know much about software test, they asked me to do unit and acceptance tests, where should I start?
...ANSWER
Answered 2020-Sep-21 at 15:47According to their documentation, mockito-python is based on Java Mockito you can go through the documentation of mockito to understand the basic. There are a bunch of tutorial and documentation available on mockito. For example: https://www.tutorialspoint.com/mockito/index.htm
Once you understand the basics you can use it with python.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install mockito-python
You can use mockito-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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