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Aarhus-Psychiatry-Research / timeseriesflattener

Converting irregularly spaced time series, such as eletronic health records, into dataframes for tabular classification.
https://Aarhus-Psychiatry-Research.github.io/timeseriesflattener
MIT License
18 stars 2 forks source link

deps:(deps): bump iterpy from 1.6.0 to 1.9.0 #540

Closed dependabot[bot] closed 5 months ago

dependabot[bot] commented 5 months ago

Bumps iterpy from 1.6.0 to 1.9.0.

Release notes

Sourced from iterpy's releases.

v1.9.0 (2024-03-09)

Feature

Fixes #139 (baea246)

  • feat(#139): eager iterators

Fixes #139 (5b863ba)

  • feat(#139): eager iterators

Fixes #139 (eeddb34)

Unknown

  • dev: migrate typing info to inline (#140) (4865d37)

  • dev: migrate typing info to inline (f6a2d80)

v1.8.1 (2024-03-07)

Fix

Fixes #137 (7c5674e)

v1.8.0 (2024-03-07)

Feature

  • feat(#61): add lazy, consumable evaluation as default (#136) (3705be3)

  • feat(#61): add lazy and consumable subtype

Fixes #61 (c363773)

v1.7.0 (2024-03-07)

Chore

  • chore: delete CODE_OF_CONDUCT.md (edbc286)

  • chore: delete .cruft.json and CONTRIBUTING.md (97f17ea)

... (truncated)

Changelog

Sourced from iterpy's changelog.

v1.9.0 (2024-03-09)

Feature

Fixes #139 (baea246)

  • feat(#139): eager iterators

Fixes #139 (5b863ba)

  • feat(#139): eager iterators

Fixes #139 (eeddb34)

Unknown

  • dev: migrate typing info to inline (#140) (4865d37)

  • dev: migrate typing info to inline (f6a2d80)

v1.8.1 (2024-03-07)

Fix

Fixes #137 (7c5674e)

v1.8.0 (2024-03-07)

Feature

  • feat(#61): add lazy, consumable evaluation as default (#136) (3705be3)

  • feat(#61): add lazy and consumable subtype

Fixes #61 (c363773)

v1.7.0 (2024-03-07)

Chore

  • chore: delete CODE_OF_CONDUCT.md (edbc286)

... (truncated)

Commits


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codspeed-hq[bot] commented 5 months ago

CodSpeed Performance Report

Merging #540 will create unknown performance changes

Comparing dependabot/pip/iterpy-1.9.0 (f1550c1) with main (9c34fcc)

Summary

⁉️ 7 dropped benchmarks

:warning: Please fix the performance issues or acknowledge them on CodSpeed.

Benchmarks breakdown

Benchmark main dependabot/pip/iterpy-1.9.0 Change
⁉️ test_bench[aggregations=['max', 'mean']] 550.8 ms N/A N/A
⁉️ test_bench[n_features=2.0x] 716 ms N/A N/A
⁉️ test_bench[n_lookbehinds=2.0x] 714 ms N/A N/A
⁉️ test_bench[n_lookbehinds=4.0x] 1.1 s N/A N/A
⁉️ test_bench[n_lookbehinds=8.0x] 1.8 s N/A N/A
⁉️ test_bench[n_pred_times=2.0x] 1.1 s N/A N/A
⁉️ test_bench[x] 543.8 ms N/A N/A
dependabot[bot] commented 5 months ago

OK, I won't notify you again about this release, but will get in touch when a new version is available. If you'd rather skip all updates until the next major or minor version, let me know by commenting @dependabot ignore this major version or @dependabot ignore this minor version. You can also ignore all major, minor, or patch releases for a dependency by adding an ignore condition with the desired update_types to your config file.

If you change your mind, just re-open this PR and I'll resolve any conflicts on it.