add notebook for detecting missing requirements

[haesleinhuepf]

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 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): #39

Short description:

• This adds a notebook for detecting test-cases which failed due to missing dependencies.

How do you think will this influence the benchmark results?

• Not directly.
• If we conclude that those missing dependencies should be added, more tests might pass.

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

• Making more tests pass is good.

[haesleinhuepf]

What I find interesting is that the notebook reports a test was failing because "No_module_named 'Pillow'", "passed": false}", but pillow is installed. Must be a spelling issue then.

[tischi]

I see, this is maybe a bit complex, because

No_module_named 'skimage.label'

is a genuine error of the LLM as it would be skimage.measure.label, right?

[haesleinhuepf]

Correct, the LLMs sometimes halucinate python module names, which cannot be installed anyway. This PR helps though identifying libraries that could be installed