Git Mock Assignment (OOP for AI 2024-25)

In this assignment, you are required to create a very simple Python script that you'll need to submit, having a sequence of automatic tests (concerning mainly style and libraries) pass.

Your code

The code is a very simple implementation of a numpy array. Write it in a file main.py. In this script...

• You should create a list containing all the numbers from 1 to 10.
• A numpy array should be created from this list
• The numpy array should be printed, without adding any other text

The specs

• You should use a virtualenv/conda environment for this project
• You should install specifically numpy version 1.26.1

The files

In addition to the main.py file, you should also provide a requirements.txt file in which you provide the list of libraries needed to run your code. The file has to be filled in using the pip requirements standard.

The tests

The automatic tests are set up inside the folder .github/workflows, which you should not touch or tamper with. The tests will be checking:

1. That the script main.py abides by the Python flake8 style requirements
2. That the script main.py runs successfully and print exactly only the content of the array
3. That you use the relevant version of Numpy, as indicated above

Git

1. Create your own version of the repository using the appropriate "Use this template" button in the upper-right part of the GitHub interface
2. Clone the repo locally
3. Implement your code
4. Populate the requirements.txt file appropriately, as indicated above
5. Remember to keep track of the various operations by committing frequently
   • Use meaningful commit messages
6. Push everything