Add support for Python 3.13

[my1e5]

Closes #77

[Wecros]

Would love to have support for Py3.13. in my project

[jvdd]

Updating PyO3 involves more than simply changing the version numbers, as it requires additional steps.

You can find more details here: https://pyo3.rs/main/migration

[my1e5]

@jvdd - I've made the relevant changes required to properly migrate from PyO3 0.20 to 0.22. I've tested the workflows on my fork and everything seems to be passing.

[codspeed-hq]

CodSpeed Performance Report

Merging #78 will degrade performances by 41.57%

_{Comparing my1e5:python3_13 (b3f83b5) with main (05334d5)}

🎉 Hooray! pytest-codspeed just leveled up to 3.1.0!

A heads-up, this is a breaking change and it might affect your current performance baseline a bit. But here's the exciting part - it's packed with new, cool features and promises improved result stability 🥳!
Curious about what's new? Visit our releases page to delve into all the awesome details about this new version.

Summary

⚡ 9 improvements
❌ 23 regressions
✅ 646 untouched benchmarks

⚠️ Please fix the performance issues or acknowledge them on CodSpeed.

Benchmarks breakdown

	Benchmark	main	my1e5:python3_13	Change
❌	test_m4_no_x[True-float32-100-100,000]	408.5 µs	498.4 µs	-18.03%
❌	test_m4_no_x[True-float32-5,000-100,000]	589 µs	665.8 µs	-11.53%
❌	test_m4_no_x[True-int32-100-100,000]	556.1 µs	639.9 µs	-13.1%
⚡	test_m4_with_x[True-float32-1,000-100,000]	1.8 ms	1.4 ms	+28.87%
⚡	test_m4_with_x[True-float32-100-100,000]	825.7 µs	745.3 µs	+10.79%
❌	test_m4_with_x[True-int64-1,000-100,000]	1.7 ms	2.3 ms	-26.56%
⚡	test_minmax_no_x[False-float32-100-100,000]	1,584.9 µs	885.4 µs	+79%
❌	test_minmax_no_x[True-float32-5,000-100,000]	716.5 µs	830.2 µs	-13.7%
⚡	test_minmax_no_x[True-int32-100-100,000]	637.3 µs	553.9 µs	+15.06%
❌	test_minmax_with_x[True-float64-1,000-100,000]	2.2 ms	2.8 ms	-22.47%
❌	test_minmax_with_x[True-int32-1,000-100,000]	1.6 ms	2.1 ms	-23.69%
❌	test_minmaxlttb_no_x[True-float64-1,000-100,000]	1.1 ms	1.2 ms	-10.86%
❌	test_minmaxlttb_with_x[True-float32-100-100,000]	989.8 µs	1,693.8 µs	-41.57%
❌	test_minmaxlttb_with_x[True-float64-100-100,000]	1.2 ms	1.6 ms	-24.23%
❌	test_minmaxlttb_with_x[True-int32-100-1,000,000]	3.1 ms	4.1 ms	-24.51%
❌	test_minmaxlttb_with_x[True-int64-1,000-100,000]	4.5 ms	5.3 ms	-16.09%
❌	test_nanm4_no_x[True-int64-100-100,000]	802.9 µs	926.4 µs	-13.33%
❌	test_nanm4_with_x[True-float64-1,000-100,000]	1.6 ms	1.9 ms	-17.13%
⚡	test_nanm4_with_x[True-int32-1,000-1,000,000]	4.2 ms	3.5 ms	+19.78%
❌	test_nanm4_with_x[True-int32-1,000-100,000]	1.5 ms	1.8 ms	-15.56%
...	...	...	...	...

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

[jvdd]

Looks good to me! Great work @my1e5 🤝