Add mean_var

[flying-sheep]

Fixes #45

[codecov]

Codecov Report

Attention: Patch coverage is 92.59259% with 4 lines in your changes missing coverage. Please review.

Project coverage is 94.44%. Comparing base (a38413d) to head (8317937).
Report is 2 commits behind head on main.

Files with missing lines	Patch %	Lines
src/fast_array_utils/stats/_mean_var.py	88.57%	4 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             main      #46      +/-   ##
==========================================
- Coverage   95.05%   94.44%   -0.62%     
==========================================
  Files          12       14       +2     
  Lines         182      234      +52     
==========================================
+ Hits          173      221      +48     
- Misses          9       13       +4     

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[codspeed-hq]

CodSpeed Performance Report

Merging #46 will degrade performances by 52.33%

_{Comparing pa/mean-var (8317937) with main (2c7a94a)}

Summary

⚡ 1 improvements
❌ 1 regressions
✅ 68 untouched benchmarks
🆕 18 new benchmarks

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

Benchmarks breakdown

	Benchmark	BASE	HEAD	Change
🆕	test_stats_benchmark[0-numpy.ndarray-float32-mean_var]	N/A	345.7 µs	N/A
🆕	test_stats_benchmark[0-numpy.ndarray-float64-mean_var]	N/A	326.2 µs	N/A
🆕	test_stats_benchmark[0-scipy.sparse.csc_array-float32-mean_var]	N/A	164.1 µs	N/A
🆕	test_stats_benchmark[0-scipy.sparse.csc_array-float64-mean_var]	N/A	180.5 µs	N/A
🆕	test_stats_benchmark[0-scipy.sparse.csr_array-float32-mean_var]	N/A	335.5 µs	N/A
🆕	test_stats_benchmark[0-scipy.sparse.csr_array-float64-mean_var]	N/A	348.8 µs	N/A
🆕	test_stats_benchmark[1-numpy.ndarray-float32-mean_var]	N/A	339.1 µs	N/A
🆕	test_stats_benchmark[1-numpy.ndarray-float64-mean_var]	N/A	320.9 µs	N/A
🆕	test_stats_benchmark[1-scipy.sparse.csc_array-float32-mean_var]	N/A	338.8 µs	N/A
🆕	test_stats_benchmark[1-scipy.sparse.csc_array-float64-mean_var]	N/A	353 µs	N/A
❌	test_stats_benchmark[1-scipy.sparse.csr_array-float32-is_constant]	97.6 µs	204.7 µs	-52.33%
🆕	test_stats_benchmark[1-scipy.sparse.csr_array-float32-mean_var]	N/A	160.7 µs	N/A
⚡	test_stats_benchmark[1-scipy.sparse.csr_array-float64-is_constant]	216.3 µs	96.1 µs	×2.3
🆕	test_stats_benchmark[1-scipy.sparse.csr_array-float64-mean_var]	N/A	176.6 µs	N/A
🆕	test_stats_benchmark[None-numpy.ndarray-float32-mean_var]	N/A	346.3 µs	N/A
🆕	test_stats_benchmark[None-numpy.ndarray-float64-mean_var]	N/A	331 µs	N/A
🆕	test_stats_benchmark[None-scipy.sparse.csc_array-float32-mean_var]	N/A	698.6 µs	N/A
🆕	test_stats_benchmark[None-scipy.sparse.csc_array-float64-mean_var]	N/A	740.2 µs	N/A
🆕	test_stats_benchmark[None-scipy.sparse.csr_array-float32-mean_var]	N/A	679.5 µs	N/A
🆕	test_stats_benchmark[None-scipy.sparse.csr_array-float64-mean_var]	N/A	714.7 µs	N/A