mirror of https://github.com/sayanarijit/xplr
Optimize performance
``` Benchmarking focus next item: Collecting 100 samples in estimated 5.1972 s (126k itera focus next item time: [41.216 us 41.346 us 41.494 us] change: [-28.669% -28.110% -27.551%] (p = 0.00 < 0.05) Performance has improved. Found 9 outliers among 100 measurements (9.00%) 4 (4.00%) high mild 5 (5.00%) high severe Benchmarking focus previous item: Collecting 100 samples in estimated 5.0576 s (116k i focus previous item time: [43.589 us 43.754 us 43.927 us] change: [-29.506% -28.748% -28.039%] (p = 0.00 < 0.05) Performance has improved. Found 3 outliers among 100 measurements (3.00%) 1 (1.00%) high mild 2 (2.00%) high severe Benchmarking focus first item: Collecting 100 samples in estimated 5.1765 s (116k iter focus first item time: [44.071 us 44.340 us 44.634 us] change: [-26.739% -26.314% -25.885%] (p = 0.00 < 0.05) Performance has improved. Found 12 outliers among 100 measurements (12.00%) 8 (8.00%) high mild 4 (4.00%) high severe Benchmarking focus last item: Collecting 100 samples in estimated 5.1522 s (116k itera focus last item time: [43.950 us 44.214 us 44.541 us] change: [-27.571% -26.953% -26.337%] (p = 0.00 < 0.05) Performance has improved. Found 11 outliers among 100 measurements (11.00%) 5 (5.00%) high mild 6 (6.00%) high severe Benchmarking leave and enter directory: Collecting 100 samples in estimated 5.4863 s ( leave and enter directory time: [96.645 us 96.915 us 97.234 us] change: [-28.720% -27.224% -25.666%] (p = 0.00 < 0.05) Performance has improved. Found 9 outliers among 100 measurements (9.00%) 6 (6.00%) high mild 3 (3.00%) high severe ```pull/139/head
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