Increase benchmark size

[flying-sheep]

No description provided.

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 99.13%. Comparing base (6af5d9a) to head (300d0a7).
⚠️ Report is 2 commits behind head on main.

Additional details and impacted files

@@           Coverage Diff           @@
##             main     #137   +/-   ##
=======================================
  Coverage   99.13%   99.13%           
=======================================
  Files          19       19           
  Lines         464      464           
=======================================
  Hits          460      460           
  Misses          4        4           

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[codspeed-hq]

CodSpeed Performance Report

Merging #137 will degrade performances by 95.38%

_{Comparing bigger-bench (300d0a7) with main (f8e26ec)}

Summary

❌ 216 (👁 216) regressions
✅ 16 untouched

Benchmarks breakdown

	Benchmark	BASE	HEAD	Change
👁	test_stats_benchmark[numpy.ndarray-1d-all-float32-is_constant]	2.6 ms	25 ms	-89.67%
👁	test_stats_benchmark[numpy.ndarray-1d-all-float32-max]	2.1 ms	20.1 ms	-89.56%
👁	test_stats_benchmark[numpy.ndarray-1d-all-float32-mean]	2.9 ms	28.1 ms	-89.85%
👁	test_stats_benchmark[numpy.ndarray-1d-all-float32-mean_var]	9.2 ms	123.4 ms	-92.58%
👁	test_stats_benchmark[numpy.ndarray-1d-all-float32-min]	2.1 ms	20.1 ms	-89.56%
👁	test_stats_benchmark[numpy.ndarray-1d-all-float32-sum]	2.8 ms	28 ms	-90%
👁	test_stats_benchmark[numpy.ndarray-1d-all-float64-is_constant]	4.6 ms	44.7 ms	-89.77%
👁	test_stats_benchmark[numpy.ndarray-1d-all-float64-max]	4.1 ms	40.1 ms	-89.76%
👁	test_stats_benchmark[numpy.ndarray-1d-all-float64-mean]	4.7 ms	46.3 ms	-89.89%
👁	test_stats_benchmark[numpy.ndarray-1d-all-float64-mean_var]	17.1 ms	174.3 ms	-90.19%
👁	test_stats_benchmark[numpy.ndarray-1d-all-float64-min]	4.1 ms	40.1 ms	-89.76%
👁	test_stats_benchmark[numpy.ndarray-1d-all-float64-sum]	4.6 ms	46.2 ms	-89.98%
👁	test_stats_benchmark[numpy.ndarray-1d-all-int32-is_constant]	2.8 ms	26.7 ms	-89.69%
👁	test_stats_benchmark[numpy.ndarray-1d-all-int32-max]	1.6 ms	14.8 ms	-89.4%
👁	test_stats_benchmark[numpy.ndarray-1d-all-int32-mean]	3.9 ms	37.7 ms	-89.63%
👁	test_stats_benchmark[numpy.ndarray-1d-all-int32-mean_var]	8.9 ms	120.8 ms	-92.63%
👁	test_stats_benchmark[numpy.ndarray-1d-all-int32-min]	1.6 ms	14.8 ms	-89.4%
👁	test_stats_benchmark[numpy.ndarray-1d-all-int32-sum]	3.9 ms	37.5 ms	-89.68%
👁	test_stats_benchmark[numpy.ndarray-2d-all-float32-is_constant]	2.6 ms	25 ms	-89.68%
👁	test_stats_benchmark[numpy.ndarray-2d-all-float32-max]	2.1 ms	20.1 ms	-89.56%
...	...	...	...	...

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