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How To Perform Unit Testing of Python Code

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Performing unit testing in Python involves the following steps:
Choose a testing framework: Python has several testing frameworks available, including unittest, pytest, nose, and doctest. You can choose any framework that suits your requirements and preferences.
Create a test file: In the same directory as your code file, create a new file with a name like "test_.py". This file will contain your test cases.
Import the code to be tested: Import the module or function you want to test in your test file.
Write test cases: Write test functions that verify that the code under test behaves as expected. Each test function should test a single aspect of the code.
Run the test cases: Run the test cases using your chosen testing framework. The framework will execute each test function and report any failures.
Analyze the results: Analyze the results of the test run to identify any issues in your code. If any test cases fail, use the error messages and stack traces to pinpoint the problem.
Here's an example using the unittest framework:
# code to be tested
def add(a, b):
return a + b
# test file
import unittest
class TestAdd(unittest.TestCase):
def test_add(self):
if __name__ == '__main__':
This will run the tests and output the results
@ParagDhawan
Choose a testing framework: Python has several testing frameworks available, including unittest, pytest, nose, and doctest. You can choose any framework that suits your requirements and preferences.
Create a test file: In the same directory as your code file, create a new file with a name like "test_.py". This file will contain your test cases.
Import the code to be tested: Import the module or function you want to test in your test file.
Write test cases: Write test functions that verify that the code under test behaves as expected. Each test function should test a single aspect of the code.
Run the test cases: Run the test cases using your chosen testing framework. The framework will execute each test function and report any failures.
Analyze the results: Analyze the results of the test run to identify any issues in your code. If any test cases fail, use the error messages and stack traces to pinpoint the problem.
Here's an example using the unittest framework:
# code to be tested
def add(a, b):
return a + b
# test file
import unittest
class TestAdd(unittest.TestCase):
def test_add(self):
if __name__ == '__main__':
This will run the tests and output the results
@ParagDhawan