python-mocking | Example reference for how to mock various types | Unit Testing library

 by   chase-seibert Python Version: Current License: No License

kandi X-RAY | python-mocking Summary

kandi X-RAY | python-mocking Summary

python-mocking is a Python library typically used in Testing, Unit Testing applications. python-mocking has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Example reference for how to mock various types of things in Python unit tests.
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              python-mocking has a low active ecosystem.
              It has 38 star(s) with 4 fork(s). There are 1 watchers for this library.
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              It had no major release in the last 6 months.
              python-mocking has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of python-mocking is current.

            kandi-Quality Quality

              python-mocking has 0 bugs and 0 code smells.

            kandi-Security Security

              python-mocking has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              python-mocking code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              python-mocking does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

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              python-mocking 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.
              Installation instructions, examples and code snippets are available.
              python-mocking saves you 38 person hours of effort in developing the same functionality from scratch.
              It has 102 lines of code, 26 functions and 4 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed python-mocking and discovered the below as its top functions. This is intended to give you an instant insight into python-mocking implemented functionality, and help decide if they suit your requirements.
            • Close a car .
            • Return a make instance for the given make .
            • Return a car object for the given make .
            • A context manager that yields a single car .
            • Initialize the session .
            • Return the maximum number of items .
            • Returns the full name of a given arg
            • Return the wheels
            • Get roll call
            • Get the first name of an arg .
            Get all kandi verified functions for this library.

            python-mocking Key Features

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

            python-mocking Examples and Code Snippets

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

            Community Discussions

            QUESTION

            Using pytest, how do you test that an input leads to an expected method call, when said method prompts for another input, and is in a continuous loop?
            Asked 2021-May-21 at 16:54

            Substituting the built-in input function's value with a string is often used to test whether a method has the expected response to that input. A tool like monkeypatch would be used to do this, then we'd assert that calling the method returns the expected value.

            Even when you call another method inside the method, if the second one has a predictable return value, you can use a similar approach.

            Now, what if that method's expected behaviour is to call a method which also asks for input? The aim is to make sure that the program reached that second input prompt (confirming the first input had the expected result). Is there a way to assert this alone?

            Example:

            ...

            ANSWER

            Answered 2021-May-21 at 16:54

            To check if method_b has been called, you have to mock it. Also you have to mock input, as you mentioned, and make sure it returns values that will lead to the program to ended, and not to a recursion:

            Source https://stackoverflow.com/questions/67636201

            QUESTION

            Simulating Python Inputs in multi-input functions using unittest
            Asked 2020-Sep-24 at 20:10

            I would like to simulate inputs from the user in unittest using Python 3.8. I have a function that first asks the user which program to execute and then multiple other inputs to get the required values for the said app. I would like to simulate these inputs (input()) in unittest. I was unable to find an answer from this post, as that answer uses "inputted" text and then plugs it into a function, and does not work seamlessly with input(). I would like a solution that works seamlessly with input(), as if a human was running the program, and returns the values that the function in the program outputs. Using separate functions is very tedious and would mean updating the program twice, which is not ideal. If it the only way, I am willing to deal with it, but I would prefer not to. Here is some code that will need to be tested.

            main.py:

            ...

            ANSWER

            Answered 2020-Sep-24 at 20:09

            I'm not sure what exactly you want to test (maybe the output that numworksLibs generates), but as this is about mocking the input, I'll show a simplified example that does not use unknown variables or functions:

            main.py

            Source https://stackoverflow.com/questions/64051263

            QUESTION

            Python unittest.mock google storage - how to achieve exceptions.NotFound as side effect
            Asked 2020-Jul-10 at 18:11

            I've read a few tutorials on mocking in Python, but I'm still struggling :-/

            For example, I have a function wrapping a call to google storage to write a blob.

            I'd like to mock the google.storage.Client().bucket(bucket_name) method to return an exceptions.NotFound for a specific non-existent bucket. I'm using side_effect to set the excepted exception

            Do you know what I'm doing wrong?

            Below is what I tried (I'm using 2 files: main2.py and main2_test.py):

            ...

            ANSWER

            Answered 2020-Jul-10 at 18:09

            Your test has two problems: you are not mocking the method that shall actually raise (upload_from_string), and you are setting an exception class instead of an exception as side effect.

            The following would work:

            Source https://stackoverflow.com/questions/62803901

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

            Vulnerabilities

            No vulnerabilities reported

            Install python-mocking

            For all these sections, assume we're in a package called myapp. The code you're testing in a module at myapp.app and the definition of the objects that you're mocking is imported there from myapp.lib.

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