This PR contains:

• a new test-case for the benchmark
  • I hereby confirm that NO LLM-based technology (such as github copilot) was used while writing this benchmark
• new dependencies in requirements.txt
  • The environment.yml file was updated using the command conda env export > environment.yml
• new generator-functions allowing to sample from other LLMs
• new samples (sample_....jsonl files)
• new benchmarking results (..._results.jsonl files)
• documentation update
• bug fixes

Related github issue (if relevant): closes #112

Short description:
Group test cases into categories making it easier to understand benchmark LLM performance

How do you think will this influence the benchmark results?

• Make it easier to understand and benchmark models. Help Identify areas where we need more test cases

Why do you think it makes sense to merge this PR?

• As above

• Added a categorise functions yaml file

• Added a check in create_test_cases to verify all functions are present

• Code updated to plot by category

• updated PR template. wording may need changing