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accept expr in default value (#1820) #3001

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accept expr in default value (#1820)

accept expr in default value (#1820) #3001

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Job Run time
Linters (3.8)
1m 33s
Linters (3.9)
1m 24s
Linters (3.10)
1m 26s
CI Core Tests (3.8, ubuntu-latest, pandas-1.5.3, pydantic-1.10.11)
1m 42s
Linters (3.11)
1m 25s
CI Core Tests (3.8, ubuntu-latest, pandas-1.5.3, pydantic-2.3.0)
2m 1s
CI Core Tests (3.9, ubuntu-latest, pandas-1.5.3, pydantic-1.10.11)
1m 45s
CI Core Tests (3.9, ubuntu-latest, pandas-1.5.3, pydantic-2.3.0)
1m 41s
CI Extras Tests: polars (3.9, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-0.20.31)
1m 3s
CI Core Tests (3.9, ubuntu-latest, pandas-2.2.2, pydantic-1.10.11)
1m 43s
CI Extras Tests: hypotheses (3.9, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
54s
CI Core Tests (3.9, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0)
1m 56s
CI Core Tests (3.10, ubuntu-latest, pandas-1.5.3, pydantic-1.10.11)
1m 45s
CI Extras Tests: io (3.9, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
56s
CI Core Tests (3.10, ubuntu-latest, pandas-1.5.3, pydantic-2.3.0)
1m 43s
CI Extras Tests: mypy (3.9, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 51s
CI Extras Tests: strategies (3.9, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
3m 16s
CI Core Tests (3.10, ubuntu-latest, pandas-2.2.2, pydantic-1.10.11)
2m 10s
CI Extras Tests: fastapi (3.9, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
55s
CI Core Tests (3.10, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0)
1m 40s
CI Extras Tests: geopandas (3.9, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
56s
CI Core Tests (3.11, ubuntu-latest, pandas-2.2.2, pydantic-1.10.11)
1m 39s
CI Extras Tests: dask (3.9, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
50s
CI Core Tests (3.11, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0)
1m 46s
CI Extras Tests: polars (3.9, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 2s
CI Core Tests (3.8, windows-latest, pandas-1.5.3, pydantic-1.10.11)
3m 32s
CI Extras Tests: pyspark (3.9, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
5m 5s
CI Core Tests (3.8, windows-latest, pandas-1.5.3, pydantic-2.3.0)
3m 36s
CI Extras Tests: modin-dask (3.9, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 37s
CI Core Tests (3.9, windows-latest, pandas-1.5.3, pydantic-1.10.11)
3m 41s
CI Extras Tests: modin-ray (3.9, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 23s
CI Core Tests (3.9, windows-latest, pandas-1.5.3, pydantic-2.3.0)
3m 26s
CI Extras Tests: polars (3.10, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-0.20.31)
1m 4s
CI Core Tests (3.9, windows-latest, pandas-2.2.2, pydantic-1.10.11)
3m 7s
CI Extras Tests: hypotheses (3.10, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
55s
CI Core Tests (3.9, windows-latest, pandas-2.2.2, pydantic-2.3.0)
3m 41s
CI Extras Tests: io (3.10, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 4s
CI Core Tests (3.10, windows-latest, pandas-1.5.3, pydantic-1.10.11)
3m 43s
CI Extras Tests: mypy (3.10, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 57s
CI Core Tests (3.10, windows-latest, pandas-1.5.3, pydantic-2.3.0)
3m 53s
CI Core Tests (3.10, windows-latest, pandas-2.2.2, pydantic-1.10.11)
3m 3s
CI Extras Tests: strategies (3.10, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
3m 16s
CI Core Tests (3.10, windows-latest, pandas-2.2.2, pydantic-2.3.0)
3m 17s
CI Extras Tests: fastapi (3.10, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 4s
CI Core Tests (3.11, windows-latest, pandas-2.2.2, pydantic-1.10.11)
3m 27s
CI Extras Tests: geopandas (3.10, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
56s
CI Core Tests (3.11, windows-latest, pandas-2.2.2, pydantic-2.3.0)
3m 54s
CI Extras Tests: dask (3.10, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
59s
CI Core Tests (3.8, macos-13, pandas-1.5.3, pydantic-1.10.11)
2m 46s
CI Extras Tests: polars (3.10, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 0s
CI Core Tests (3.8, macos-13, pandas-1.5.3, pydantic-2.3.0)
3m 58s
CI Extras Tests: pyspark (3.10, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
13m 41s
CI Core Tests (3.9, macos-13, pandas-1.5.3, pydantic-1.10.11)
4m 14s
CI Extras Tests: modin-dask (3.10, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 49s
CI Core Tests (3.9, macos-13, pandas-1.5.3, pydantic-2.3.0)
2m 41s
CI Extras Tests: modin-ray (3.10, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 22s
CI Core Tests (3.9, macos-13, pandas-2.2.2, pydantic-1.10.11)
3m 30s
CI Extras Tests: polars (3.11, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-0.20.31)
58s
CI Core Tests (3.9, macos-13, pandas-2.2.2, pydantic-2.3.0)
2m 28s
CI Extras Tests: hypotheses (3.11, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
50s
CI Core Tests (3.10, macos-13, pandas-1.5.3, pydantic-1.10.11)
2m 26s
CI Extras Tests: io (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-2.3.0)
3m 16s
CI Extras Tests: mypy (3.11, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 55s
CI Core Tests (3.10, macos-13, pandas-2.2.2, pydantic-1.10.11)
2m 48s
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)
2m 38s
CI Extras Tests: fastapi (3.11, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 3s
CI Core Tests (3.11, macos-13, pandas-2.2.2, pydantic-1.10.11)
3m 59s
CI Extras Tests: geopandas (3.11, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 10s
CI Core Tests (3.11, macos-13, pandas-2.2.2, pydantic-2.3.0)
2m 58s
CI Extras Tests: dask (3.11, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 1s
CI Extras Tests: polars (3.11, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 13s
CI Extras Tests: pyspark (3.11, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
12m 37s
CI Extras Tests: modin-dask (3.11, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 32s
CI Extras Tests: modin-ray (3.11, ubuntu-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 13s
CI Extras Tests: polars (3.9, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-0.20.31)
2m 13s
CI Extras Tests: hypotheses (3.9, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
2m 32s
CI Extras Tests: io (3.9, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
2m 43s
CI Extras Tests: strategies (3.9, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
5m 41s
CI Extras Tests: fastapi (3.9, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
3m 12s
CI Extras Tests: geopandas (3.9, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
3m 9s
CI Extras Tests: dask (3.9, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
2m 31s
CI Extras Tests: polars (3.9, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
2m 18s
CI Extras Tests: pyspark (3.9, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1h 35m 7s
CI Extras Tests: modin-dask (3.9, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
3m 39s
CI Extras Tests: polars (3.10, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-0.20.31)
2m 38s
CI Extras Tests: hypotheses (3.10, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
2m 25s
CI Extras Tests: io (3.10, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
2m 23s
CI Extras Tests: strategies (3.10, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
4m 52s
CI Extras Tests: fastapi (3.10, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
3m 20s
CI Extras Tests: geopandas (3.10, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
3m 1s
CI Extras Tests: dask (3.10, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
2m 36s
CI Extras Tests: polars (3.10, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
2m 15s
CI Extras Tests: pyspark (3.10, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1h 43m 24s
CI Extras Tests: modin-dask (3.10, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
3m 47s
CI Extras Tests: polars (3.11, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-0.20.31)
3m 24s
CI Extras Tests: hypotheses (3.11, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
2m 52s
CI Extras Tests: io (3.11, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
3m 1s
CI Extras Tests: strategies (3.11, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
4m 52s
CI Extras Tests: fastapi (3.11, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
3m 8s
CI Extras Tests: geopandas (3.11, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
2m 32s
CI Extras Tests: dask (3.11, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
3m 2s
CI Extras Tests: polars (3.11, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
2m 43s
CI Extras Tests: pyspark (3.11, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1h 45m 43s
CI Extras Tests: modin-dask (3.11, windows-latest, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
3m 12s
CI Extras Tests: polars (3.9, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-0.20.31)
2m 43s
CI Extras Tests: hypotheses (3.9, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 45s
CI Extras Tests: io (3.9, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
3m 27s
CI Extras Tests: mypy (3.9, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
4m 11s
CI Extras Tests: strategies (3.9, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
5m 18s
CI Extras Tests: fastapi (3.9, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
2m 7s
CI Extras Tests: geopandas (3.9, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 33s
CI Extras Tests: dask (3.9, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
2m 37s
CI Extras Tests: polars (3.9, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
2m 1s
CI Extras Tests: pyspark (3.9, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
5m 19s
CI Extras Tests: modin-dask (3.9, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
4m 35s
CI Extras Tests: modin-ray (3.9, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
2m 23s
CI Extras Tests: polars (3.10, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-0.20.31)
2m 17s
CI Extras Tests: hypotheses (3.10, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 25s
CI Extras Tests: io (3.10, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
2m 25s
CI Extras Tests: mypy (3.10, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
4m 6s
CI Extras Tests: strategies (3.10, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
5m 3s
CI Extras Tests: fastapi (3.10, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 45s
CI Extras Tests: geopandas (3.10, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 51s
CI Extras Tests: dask (3.10, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 57s
CI Extras Tests: polars (3.10, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
2m 15s
CI Extras Tests: pyspark (3.10, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
14m 18s
CI Extras Tests: modin-dask (3.10, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
2m 26s
CI Extras Tests: modin-ray (3.10, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
2m 6s
CI Extras Tests: polars (3.11, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-0.20.31)
1m 44s
CI Extras Tests: hypotheses (3.11, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 31s
CI Extras Tests: io (3.11, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 49s
CI Extras Tests: mypy (3.11, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
2m 40s
CI Extras Tests: strategies (3.11, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
5m 28s
CI Extras Tests: fastapi (3.11, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 59s
CI Extras Tests: geopandas (3.11, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 49s
CI Extras Tests: dask (3.11, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 37s
CI Extras Tests: polars (3.11, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 44s
CI Extras Tests: pyspark (3.11, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
16m 59s
CI Extras Tests: modin-dask (3.11, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
2m 39s
CI Extras Tests: modin-ray (3.11, macos-13, pandas-2.2.2, pydantic-2.3.0, polars-1.2.0)
1m 53s
11h 33m 25s