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bugfix: check_input decorator handles functions with kwargs #3057

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bugfix: check_input decorator handles functions with kwargs

bugfix: check_input decorator handles functions with kwargs #3057

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Linters (3.8)
1m 31s
Linters (3.9)
1m 31s
Linters (3.10)
1m 29s
CI Core Tests (3.8, ubuntu-latest, pandas-1.5.3, pydantic-1.10.11)
1m 50s
Linters (3.11)
1m 21s
CI Core Tests (3.8, ubuntu-latest, pandas-1.5.3, pydantic-2.3.0)
1m 50s
CI Core Tests (3.9, ubuntu-latest, pandas-1.5.3, pydantic-1.10.11)
1m 51s
CI Core Tests (3.9, ubuntu-latest, pandas-1.5.3, pydantic-2.3.0)
1m 37s
CI Core Tests (3.9, ubuntu-latest, pandas-2.2.2, pydantic-1.10.11)
1m 42s
CI Extras Tests: polars (3.9, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-0.20.31)
1m 7s
CI Core Tests (3.9, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0)
1m 42s
CI Extras Tests: hypotheses (3.9, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 4s
CI Core Tests (3.10, ubuntu-latest, pandas-1.5.3, pydantic-1.10.11)
1m 44s
CI Extras Tests: io (3.9, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
57s
CI Core Tests (3.10, ubuntu-latest, pandas-1.5.3, pydantic-2.3.0)
1m 57s
CI Extras Tests: mypy (3.9, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
2m 8s
CI Core Tests (3.10, ubuntu-latest, pandas-2.2.2, pydantic-1.10.11)
1m 45s
CI Extras Tests: strategies (3.9, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
3m 3s
CI Core Tests (3.10, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0)
1m 49s
CI Extras Tests: fastapi (3.9, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 6s
CI Core Tests (3.11, ubuntu-latest, pandas-2.2.2, pydantic-1.10.11)
1m 52s
CI Extras Tests: geopandas (3.9, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 6s
CI Core Tests (3.11, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0)
2m 7s
CI Extras Tests: dask (3.9, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 3s
CI Core Tests (3.8, windows-latest, pandas-1.5.3, pydantic-1.10.11)
3m 32s
CI Extras Tests: polars (3.9, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 6s
CI Core Tests (3.8, windows-latest, pandas-1.5.3, pydantic-2.3.0)
3m 26s
CI Extras Tests: pyspark (3.9, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
5m 6s
CI Core Tests (3.9, windows-latest, pandas-1.5.3, pydantic-1.10.11)
3m 43s
CI Extras Tests: modin-dask (3.9, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 52s
CI Core Tests (3.9, windows-latest, pandas-1.5.3, pydantic-2.3.0)
3m 11s
CI Extras Tests: modin-ray (3.9, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 17s
CI Core Tests (3.9, windows-latest, pandas-2.2.2, pydantic-1.10.11)
4m 14s
CI Extras Tests: polars (3.10, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-0.20.31)
1m 1s
CI Core Tests (3.9, windows-latest, pandas-2.2.2, pydantic-2.3.0)
3m 53s
CI Extras Tests: hypotheses (3.10, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
56s
CI Core Tests (3.10, windows-latest, pandas-1.5.3, pydantic-1.10.11)
4m 4s
CI Extras Tests: io (3.10, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 1s
CI Core Tests (3.10, windows-latest, pandas-1.5.3, pydantic-2.3.0)
3m 13s
CI Extras Tests: mypy (3.10, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 58s
CI Core Tests (3.10, windows-latest, pandas-2.2.2, pydantic-1.10.11)
3m 11s
CI Extras Tests: strategies (3.10, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
2m 40s
CI Core Tests (3.10, windows-latest, pandas-2.2.2, pydantic-2.3.0)
3m 0s
CI Extras Tests: fastapi (3.10, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 9s
CI Core Tests (3.11, windows-latest, pandas-2.2.2, pydantic-1.10.11)
3m 32s
CI Extras Tests: geopandas (3.10, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
55s
CI Core Tests (3.11, windows-latest, pandas-2.2.2, pydantic-2.3.0)
3m 25s
CI Extras Tests: dask (3.10, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 1s
CI Core Tests (3.8, macos-13, pandas-1.5.3, pydantic-1.10.11)
2m 29s
CI Extras Tests: polars (3.10, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 8s
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2m 14s
CI Extras Tests: pyspark (3.10, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
14m 28s
CI Core Tests (3.9, macos-13, pandas-1.5.3, pydantic-1.10.11)
4m 46s
CI Extras Tests: modin-dask (3.10, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 42s
CI Core Tests (3.9, macos-13, pandas-1.5.3, pydantic-2.3.0)
2m 46s
CI Extras Tests: modin-ray (3.10, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 24s
CI Core Tests (3.9, macos-13, pandas-2.2.2, pydantic-1.10.11)
3m 50s
CI Extras Tests: polars (3.11, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-0.20.31)
1m 10s
CI Core Tests (3.9, macos-13, pandas-2.2.2, pydantic-2.3.0)
3m 0s
CI Extras Tests: hypotheses (3.11, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
56s
CI Core Tests (3.10, macos-13, pandas-1.5.3, pydantic-1.10.11)
3m 16s
CI Extras Tests: io (3.11, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 2s
CI Core Tests (3.10, macos-13, pandas-1.5.3, pydantic-2.3.0)
3m 7s
CI Extras Tests: mypy (3.11, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
2m 6s
CI Core Tests (3.10, macos-13, pandas-2.2.2, pydantic-1.10.11)
2m 39s
CI Extras Tests: strategies (3.11, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
2m 41s
CI Core Tests (3.10, macos-13, pandas-2.2.2, pydantic-2.3.0)
3m 18s
CI Extras Tests: fastapi (3.11, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 4s
CI Core Tests (3.11, macos-13, pandas-2.2.2, pydantic-1.10.11)
3m 28s
CI Extras Tests: geopandas (3.11, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
55s
CI Core Tests (3.11, macos-13, pandas-2.2.2, pydantic-2.3.0)
2m 40s
CI Extras Tests: dask (3.11, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
54s
CI Extras Tests: polars (3.11, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 8s
CI Extras Tests: pyspark (3.11, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
13m 55s
CI Extras Tests: modin-dask (3.11, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 43s
CI Extras Tests: modin-ray (3.11, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 14s
CI Extras Tests: polars (3.9, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-0.20.31)
2m 14s
CI Extras Tests: hypotheses (3.9, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
3m 35s
CI Extras Tests: io (3.9, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
3m 30s
CI Extras Tests: strategies (3.9, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
5m 9s
CI Extras Tests: fastapi (3.9, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
2m 6s
CI Extras Tests: geopandas (3.9, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
3m 3s
CI Extras Tests: dask (3.9, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
2m 55s
CI Extras Tests: polars (3.9, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
3m 44s
CI Extras Tests: pyspark (3.9, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1h 47m 5s
CI Extras Tests: modin-dask (3.9, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
3m 33s
CI Extras Tests: polars (3.10, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-0.20.31)
2m 31s
CI Extras Tests: hypotheses (3.10, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
2m 7s
CI Extras Tests: io (3.10, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
3m 10s
CI Extras Tests: strategies (3.10, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
4m 46s
CI Extras Tests: fastapi (3.10, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
2m 48s
CI Extras Tests: geopandas (3.10, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
3m 6s
CI Extras Tests: dask (3.10, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
2m 15s
CI Extras Tests: polars (3.10, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
2m 55s
CI Extras Tests: pyspark (3.10, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
2h 0m 35s
CI Extras Tests: modin-dask (3.10, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
3m 58s
CI Extras Tests: polars (3.11, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-0.20.31)
3m 9s
CI Extras Tests: hypotheses (3.11, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
3m 13s
CI Extras Tests: io (3.11, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
2m 57s
CI Extras Tests: strategies (3.11, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
4m 6s
CI Extras Tests: fastapi (3.11, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
3m 33s
CI Extras Tests: geopandas (3.11, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
2m 29s
CI Extras Tests: dask (3.11, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
2m 34s
CI Extras Tests: polars (3.11, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
2m 56s
CI Extras Tests: pyspark (3.11, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1h 57m 18s
CI Extras Tests: modin-dask (3.11, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
3m 17s
CI Extras Tests: polars (3.9, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-0.20.31)
2m 4s
CI Extras Tests: hypotheses (3.9, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
2m 13s
CI Extras Tests: io (3.9, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
3m 4s
CI Extras Tests: mypy (3.9, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
2m 56s
CI Extras Tests: strategies (3.9, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
4m 51s
CI Extras Tests: fastapi (3.9, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 57s
CI Extras Tests: geopandas (3.9, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
2m 17s
CI Extras Tests: dask (3.9, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
2m 30s
CI Extras Tests: polars (3.9, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
2m 32s
CI Extras Tests: pyspark (3.9, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
5m 44s
CI Extras Tests: modin-dask (3.9, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
3m 20s
CI Extras Tests: modin-ray (3.9, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
2m 29s
CI Extras Tests: polars (3.10, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-0.20.31)
2m 28s
CI Extras Tests: hypotheses (3.10, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 51s
CI Extras Tests: io (3.10, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
2m 13s
CI Extras Tests: mypy (3.10, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
3m 49s
CI Extras Tests: strategies (3.10, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
4m 28s
CI Extras Tests: fastapi (3.10, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
2m 9s
CI Extras Tests: geopandas (3.10, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
2m 15s
CI Extras Tests: dask (3.10, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
2m 13s
CI Extras Tests: polars (3.10, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
2m 0s
CI Extras Tests: pyspark (3.10, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
15m 31s
CI Extras Tests: modin-dask (3.10, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
3m 25s
CI Extras Tests: modin-ray (3.10, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
2m 43s
CI Extras Tests: polars (3.11, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-0.20.31)
2m 20s
CI Extras Tests: hypotheses (3.11, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 50s
CI Extras Tests: io (3.11, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
2m 57s
CI Extras Tests: mypy (3.11, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
3m 28s
CI Extras Tests: strategies (3.11, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
3m 54s
CI Extras Tests: fastapi (3.11, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
2m 1s
CI Extras Tests: geopandas (3.11, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 30s
CI Extras Tests: dask (3.11, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 32s
CI Extras Tests: polars (3.11, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
2m 39s
CI Extras Tests: pyspark (3.11, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
19m 32s
CI Extras Tests: modin-dask (3.11, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
3m 31s
CI Extras Tests: modin-ray (3.11, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
2m 23s
12h 25m 57s