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Last Updated: Dec 20, 2023
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Testify

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Introduction

The Yelp code base has been in development for more than six years. One of Python's best features is its "batteries included" mentality, which allows us to use a variety of wonderful libraries, including the built-in unittest module. On the other hand, our testing requirements rise in tandem with the growth and complexity of our codebase.

Nose and unittest are two open-source libraries that have been developed to help supplement Python testing.

Testify is a Python module that replaces the unittest module and nose. It is modeled after unittest, and it fully supports existing unittest classes.

“ Recommended Topic, Python Round Function, Swapcase in Python”.

Testify

Testify is based on unittest but with more capabilities and support for unittest classes. It contains more pythonic naming standards, a more visually appealing test runner output, and a decorator-based approach to fixture methods, among other things.

Testify includes functionalities that go beyond unittest:

  • Teardown fixture methods and Class-level setup are run only once for an entire class of test methods.
  • A decorator-based approach to fixture methods allows for features like lazy attribute evaluation and test context managers.
  • Test discovery has been improved. Testify can search across packages for test cases (similar to nose).
  • Support for finding and running test suites organized by modules, classes, or test methods.
  • The output of the test runner is attractive (color).
  • Extensible plugin system for providing new reporting functions.
  • Turtle (for mocking), code coverage integration, profiling, and various everyday assertion helpers for faster debugging are among the other helpful testing facilities included.
  • More naming standards in Python.

Now, we will look at the installation of Testify.

Also See, Intersection in Python and Convert String to List Python.

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Installation

Testify can be used in the same way as any other Python library. Make sure you have a Python installed with header files, a compiler, pip, and git installed in your development environment. Check to see that your pip, setup tools, and wheel are all current. Installing packages in a virtual environment is often suggested when using pip to avoid system modifications.

With the following command, we can install testify.

pip install testify

Let’s learn about Testify with an example now.

Basic Implementation

Let's start with a simple example:

    from testify import *
    
    class AdditionTestCase(TestCase):
        @class_setup
        def init_the_variable(self):
            self.variable = 0
            
        @setup
        def increment_the_variable(self):
            self.variable += 1

        def test_the_variable(self):
            assert_equal(self.variable, 1)

        @teardown
        def decrement_the_variable(self):
            self.variable -= 1

        @class_teardown
        def get_rid_of_the_variable(self):
            self.variable = None

    if __name__ == "__main__":
        run()

We'll want to run the tests now.

There are two possibilities:

  • If your test case includes the __main__ check, you can execute the script as you would with unittest.
  • Use the testify test runner to execute your tests.

You'll probably want to use the test runner if you're working on a larger project with many test cases.

 Assume your file structure looks like this.

myapp/
  README
  lib/
  tests/
    mytest.py

Then we will run:

testify tests

Output:

  PASSED.  15 tests / 11 cases: 15 passed (0 unexpected), 0 failed (0 expected).  (Total test time 0.00s)

For a complete list of options, run testify —help, or see RunningTests. You can compile it with online python compiler.

We are done with the blog. Let's move to faqs.

Also read,  Python filename extensions

FAQS

What is Testify?

Testify is a Python module that replaces the unittest module and nose. It is modeled after unittest, and it fully supports existing unittest classes.

How to install Testify?

We can install Testify using pip with the following command: pip install testify.

Is Testify compatible with unittest?

Testify is mostly backward compatible with unittest test cases.

What are the environmental requirements to use Testify?

Make sure you have a Python installed with header files, a compiler, pip, and git installed in your development environment.

What is the command used to start tests?

The command used to start tests is: testify tests

Conclusion

This article extensively discussed Tesify and its installation with a basic example.

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We hope that this blog helped you improve your knowledge regarding Testify, and in case you like to learn more, check our articles in the code studio library. Do upvote our blog to help other ninjas grow. Happy Coding!

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