Python Auto Unittest

Writing Automated Test Cases for a Python “Poetry” Based Module

Introduction

Automated testing is an essential part of software development as it helps ensure the correctness and reliability of the code. In this post, we will discuss how to write automated test cases for a Python module based on the “Poetry” package manager. We will cover the basics of writing tests and provide examples for testing a method that generates the Fibonacci series and Mersenne primes.

Setup

Before we dive into writing tests, let’s first set up the project with Poetry. Assuming you already have Poetry installed, follow these steps:

Create a new directory for your project:
```
$ mkdir myproject
$ cd myproject
```
Initialize a new Python project using Poetry:
```
$ poetry init
```
Install the required dependencies:
```
$ poetry add <dependencies>
```

Create a new Python module for your project:

$ mkdir mymodule
$ touch mymodule/__init__.py

Writing Test Cases

Now that our project is set up, let’s start writing test cases for the methods in our module.

Fibonacci Series

Let’s assume our module has a method called generate_fibonacci(n) that generates the Fibonacci series up to the nth number. Here’s how we can write test cases for this method:

Create a new test directory:
```
$ mkdir tests
```
Inside the tests directory, create a new Python file called test_fibonacci.py:
```
$ touch tests/test_fibonacci.py
```

Open test_fibonacci.py and import the necessary modules:

import pytest
from mymodule import generate_fibonacci

Write a test case for the generate_fibonacci method:

def test_generate_fibonacci():
    assert generate_fibonacci(0) == []
    assert generate_fibonacci(1) == [0]
    assert generate_fibonacci(2) == [0, 1]
    assert generate_fibonacci(5) == [0, 1, 1, 2, 3]
    assert generate_fibonacci(10) == [0, 1, 1, 2, 3, 5, 8, 13, 21, 34]

Save the file and exit.

Mersenne Primes

Now let’s assume our module also has a method called find_mersenne_primes(n) that finds the first n Mersenne primes. Here’s how we can write test cases for this method:

Open the tests/test_fibonacci.py file again.

Write a new test case for the find_mersenne_primes method:

def test_find_mersenne_primes():
    assert find_mersenne_primes(0) == []
    assert find_mersenne_primes(1) == [3]
    assert find_mersenne_primes(5) == [3, 7, 31, 127, 8191]
    assert find_mersenne_primes(10) == [3, 7, 31, 127, 8191, 131071, 524287, 2147483647, 2305843009213693951, 618970019642690137449562111]

Save the file and exit.

Running the Tests

To run the tests, open your terminal and navigate to the project’s root directory. Then run the following command:

$ poetry run pytest

If all the tests pass, you should see an output similar to the following:

============================= test session starts ==============================
...
collected 2 items

tests/test_fibonacci.py ..                                                [100%]

============================== 2 passed in 0.01s ===============================

Congratulations! You have successfully written and executed automated tests for your Python “Poetry” based module.

Conclusion

Writing automated test cases is crucial for ensuring the reliability and correctness of your code. In this post, we discussed how to write test cases for a Python module based on the “Poetry” package manager. We provided examples for testing a method that generates the Fibonacci series and Mersenne primes. By following these steps, you can ensure that your code is thoroughly tested and ready for production use.

Disclaimer

The content provided on this site is for informational purposes only. Solutions Factory AI, LLC (“Solutions Factory AI”) makes no representations or warranties of any kind, express or implied, about the completeness, accuracy, reliability, suitability, or availability of the information, products, services, or related graphics contained on this site. Any reliance you place on such information is strictly at your own risk.

Solutions Factory AI will not be liable for any loss or damage, including without limitation, indirect or consequential loss or damage, or any loss or damage whatsoever arising from loss of data or profits arising out of, or in connection with, the use of this website. Through this website, you may be able to link to other websites which are not under the control of Solutions Factory AI. We have no control over the nature, content, and availability of those sites.