test: Converting elemwise_example.py to CodSpeed benchmark

[DeaMariaLeon]

What type of PR is this? (check all applicable)

• [ ] 💾 Refactor
• [ ] 🪄 Feature
• [ ] 🐞 Bug Fix
• [ ] 🔧 Optimization
• [ ] 📚 Documentation
• [x] 🧪 Test
• [ ] 🛠️ Other

Related issues

• Related issue #
• Closes #

Checklist

• [x] Code follows style guide
• [ ] Tests added
• [ ] Documented the changes

---

Please explain your changes below.

This PR converts elemwise_example.py that was already in the repo, to benchmarks for CodSpeed. There are 26 warnings locally, but they were also raised running the original file.

[codspeed-hq[bot]]

CodSpeed Performance Report

Merging #749 will degrade performances by 52.24%

_{Comparing DeaMariaLeon:elemwise (4c27833) with main (09adc98)}

Summary

❌ 2 (👁 2) regressions ✅ 215 untouched benchmarks

🆕 27 new benchmarks

Benchmarks breakdown

	Benchmark	main	DeaMariaLeon:elemwise	Change
👁	test_index_fancy[side=100-rank=1-format='coo']	678.5 µs	1,420.6 µs	-52.24%
👁	test_index_slice[side=100-rank=2-format='gcxs']	2.4 ms	2.9 ms	-18.04%
🆕	test_elemwise[f=<built-in function add>-backend='Finch'-side=1000]	N/A	1.5 ms	N/A
🆕	test_elemwise[f=<built-in function add>-backend='Finch'-side=100]	N/A	713.2 µs	N/A
🆕	test_elemwise[f=<built-in function add>-backend='Finch'-side=500]	N/A	882 µs	N/A
🆕	test_elemwise[f=<built-in function add>-backend='Numba'-side=1000]	N/A	5.9 ms	N/A
🆕	test_elemwise[f=<built-in function add>-backend='Numba'-side=100]	N/A	4 ms	N/A
🆕	test_elemwise[f=<built-in function add>-backend='Numba'-side=500]	N/A	4.4 ms	N/A
🆕	test_elemwise[f=<built-in function add>-backend='SciPy'-side=1000]	N/A	612.3 µs	N/A
🆕	test_elemwise[f=<built-in function add>-backend='SciPy'-side=100]	N/A	552.6 µs	N/A
🆕	test_elemwise[f=<built-in function add>-backend='SciPy'-side=500]	N/A	572.4 µs	N/A
🆕	test_elemwise[f=<built-in function gt>-backend='Finch'-side=1000]	N/A	1.4 ms	N/A
🆕	test_elemwise[f=<built-in function gt>-backend='Finch'-side=100]	N/A	706.2 µs	N/A
🆕	test_elemwise[f=<built-in function gt>-backend='Finch'-side=500]	N/A	878.7 µs	N/A
🆕	test_elemwise[f=<built-in function gt>-backend='Numba'-side=1000]	N/A	3.8 ms	N/A
🆕	test_elemwise[f=<built-in function gt>-backend='Numba'-side=100]	N/A	3 ms	N/A
🆕	test_elemwise[f=<built-in function gt>-backend='Numba'-side=500]	N/A	3.2 ms	N/A
🆕	test_elemwise[f=<built-in function gt>-backend='SciPy'-side=1000]	N/A	610.1 µs	N/A
🆕	test_elemwise[f=<built-in function gt>-backend='SciPy'-side=100]	N/A	550.8 µs	N/A
🆕	test_elemwise[f=<built-in function gt>-backend='SciPy'-side=500]	N/A	567.2 µs	N/A
...	...	...	...	...

:information_source: Only the first 20 benchmarks are displayed. Go to the app to view all benchmarks.

[DeaMariaLeon]

It took more than 40 min to run the benchmarks. (I think!)