predict-idlab / tsflex

Flexible time series feature extraction & processing
https://predict-idlab.github.io/tsflex/
MIT License
400 stars 26 forks source link

:rocket: Python 3.12 support #116

Closed jvdd closed 8 months ago

jvdd commented 9 months ago
codecov-commenter commented 9 months ago

Codecov Report

All modified and coverable lines are covered by tests :white_check_mark:

Comparison is base (3620a67) 98.03% compared to head (a608a1f) 98.04%.

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Additional details and impacted files ```diff @@ Coverage Diff @@ ## main #116 +/- ## ======================================= Coverage 98.03% 98.04% ======================================= Files 23 23 Lines 1376 1382 +6 ======================================= + Hits 1349 1355 +6 Misses 27 27 ```

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codspeed-hq[bot] commented 9 months ago

CodSpeed Performance Report

Merging #116 will improve performances by 38.54%

Comparing py3.12 (a608a1f) with main (3620a67)

Summary

⚡ 179 improvements ✅ 94 untouched benchmarks

🆕 108 new benchmarks ⁉️ 108 (👁 108) dropped benchmarks

Benchmarks breakdown

Benchmark main py3.12 Change
👁 test_single_series_feature_collection[15s-10s-1-amax] 93.9 ms N/A N/A
👁 test_single_series_feature_collection[15s-10s-1-amin] 93.9 ms N/A N/A
🆕 test_single_series_feature_collection[15s-10s-1-max] N/A 80 ms N/A
test_single_series_feature_collection[15s-10s-1-mean] 136.4 ms 122.4 ms +11.42%
test_single_series_feature_collection[15s-10s-1-median] 317.8 ms 264.1 ms +20.31%
🆕 test_single_series_feature_collection[15s-10s-1-min] N/A 80 ms N/A
test_single_series_feature_collection[15s-10s-1-sum] 95.2 ms 81.1 ms +17.36%
👁 test_single_series_feature_collection[15s-10s-2-amax] 93.9 ms N/A N/A
👁 test_single_series_feature_collection[15s-10s-2-amin] 93.9 ms N/A N/A
🆕 test_single_series_feature_collection[15s-10s-2-max] N/A 80 ms N/A
test_single_series_feature_collection[15s-10s-2-mean] 136.4 ms 122.4 ms +11.45%
test_single_series_feature_collection[15s-10s-2-median] 317.9 ms 264.2 ms +20.35%
🆕 test_single_series_feature_collection[15s-10s-2-min] N/A 80 ms N/A
test_single_series_feature_collection[15s-10s-2-sum] 95.2 ms 81.1 ms +17.33%
👁 test_single_series_feature_collection[15s-10s-4-amax] 93.9 ms N/A N/A
👁 test_single_series_feature_collection[15s-10s-4-amin] 93.9 ms N/A N/A
🆕 test_single_series_feature_collection[15s-10s-4-max] N/A 80 ms N/A
test_single_series_feature_collection[15s-10s-4-mean] 136.4 ms 122.4 ms +11.4%
test_single_series_feature_collection[15s-10s-4-median] 317.8 ms 264.4 ms +20.18%
🆕 test_single_series_feature_collection[15s-10s-4-min] N/A 80 ms N/A
... ... ... ... ...


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