[X] 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): closes #34
Short description:
Adds a test for computing a radial intensity profile in a 2D image
How do you think will this influence the benchmark results?
Not sure, chatGPT 4.0 got it right at the first go
Why do you think it makes sense to merge this PR?
Radial intensity profiles are frequently needed in BIA
Notes:
I looked for how to implement this on this website, and then, once I was finished, I was curious as to what chatGPT4.0 would suggest, and I found it interesting that it literally suggested the solution mentioned on this website.
This PR contains:
sample_....jsonl
files)..._results.jsonl
files)Related github issue (if relevant): closes #34
Short description:
How do you think will this influence the benchmark results?
Why do you think it makes sense to merge this PR?
Notes: