hhBddlmZddlZddlmZmZer&ddlZddlmZ ddl Z ddl m Z ddl ZddlZddlZddlmZddlmZmZmZmZmZmZmZmZmZmZm Z m!Z!m"Z"m#Z#m$Z$m%Z%d(d Z&d)d Z'd*dZ(d+dZ)d,dZ*d-dZ+d.dZ,d/dZ-d0dZ.d1dZ/d2dZ0d3d!Z1d4d#Z2d5d%Z3d6d&Z4gd'Z5dS)7) annotationsN) TYPE_CHECKINGAny)TypeIs) IMPORT_HOOKSget_cudfget_dask_dataframeget_ibis get_modin get_numpy get_pandas get_polars get_pyarrowis_into_dataframeis_into_seriesis_narwhals_dataframeis_narwhals_lazyframeis_narwhals_seriesis_numpy_arrayis_pandas_indexdfrreturnTypeIs[pd.DataFrame]ctx}durt|jp tfdtDS)zBCheck whether `df` is a pandas DataFrame without importing pandas.Nc3K|]B}tj|dxduotjjVCdSN)sysmodulesget isinstancepandas DataFrame).0 module_namermods V/var/www/histauto/venv/lib/python3.11/site-packages/narwhals/stable/v1/dependencies.py z&is_pandas_dataframe..'srVV   T22 24? 1 r3:/ 0 0VVVVVV)r r r"anyr)rpdr%s` @r&is_pandas_dataframer+%st<< R , MB 1M1M RUVVVVV(VVVSSr(serTypeIs[pd.Series[Any]]ctx}durt|jp tfdtDS)z@Check whether `ser` is a pandas Series without importing pandas.Nc3K|]B}tj|dxduotjjVCdSr)rrrr r!Series)r#r$r%r,s r&r'z#is_pandas_series..0srTT   T22 24? / sCJ- . .TTTTTTr()r r r0r)r)r,r*r%s` @r&is_pandas_seriesr1.st<< R , KC1K1K PSTTTTT(TTTQQr(TypeIs[mpd.DataFrame]cPtx}duot||jS)z@Check whether `df` is a modin DataFrame without importing modin.N)r r r")rmpds r&is_modin_dataframer57s';; Ct + M 2s}0M0MMr(TypeIs[mpd.Series]cPtx}duot||jS)z>Check whether `ser` is a modin Series without importing modin.N)r r r0)r,r4s r&is_modin_seriesr8<s';; Ct + K 3 0K0KKr(TypeIs[cudf.DataFrame]cPtx}duot||jS)z>Check whether `df` is a cudf DataFrame without importing cudf.N)rr r")rcudfs r&is_cudf_dataframer<As'JJ Dt + N 2t~0N0NNr(TypeIs[cudf.Series[Any]]cPtx}duot||jS)zCheck whether `df` is a Dask DataFrame without importing Dask.N)r r r")rdds r&is_dask_dataframerCKs)$&& &Bt 3 T 2r|8T8TTr(TypeIs[ibis.Table]cdtx}duot||jjjS)z:Check whether `df` is a Ibis Table without importing Ibis.N)r r exprtypesTable)ribiss r& is_ibis_tablerJPs,JJ Dt + U 2ty?T0U0UUr(TypeIs[pl.DataFrame]cPtx}duot||jS)zBCheck whether `df` is a Polars DataFrame without importing Polars.N)rr r"rpls r&is_polars_dataframerOU',, Bt + L 2r|0L0LLr(TypeIs[pl.LazyFrame]cPtx}duot||jS)zBCheck whether `df` is a Polars LazyFrame without importing Polars.N)rr LazyFramerMs r&is_polars_lazyframerTZrPr(TypeIs[pl.Series]cPtx}duot||jS)z@Check whether `ser` is a Polars Series without importing Polars.N)rr r0)r,rNs r&is_polars_seriesrW_s',, Bt + J 3 0J0JJr(TypeIs[pa.ChunkedArray[Any]]cPtx}duot||jS)zHCheck whether `ser` is a PyArrow ChunkedArray without importing PyArrow.N)rr ChunkedArray)r,pas r&is_pyarrow_chunked_arrayr\ds'-- B , QC1Q1QQr(TypeIs[pa.Table]cPtx}duot||jS)z@Check whether `df` is a PyArrow Table without importing PyArrow.N)rr rH)rr[s r&is_pyarrow_tabler_is'-- B , IB1I1IIr(boolc\t|pt|pt|S)zCheck whether `df` is a pandas-like DataFrame without doing any imports. By "pandas-like", we mean: pandas, Modin, cuDF. )r+r5r<)rs r&is_pandas_like_dataframerbns/ r " " U&8&<&< U@QRT@U@UUr(c\t|pt|pt|S)zCheck whether `ser` is a pandas-like Series without doing any imports. By "pandas-like", we mean: pandas, Modin, cuDF. )r1r8r?)r,s r&is_pandas_like_seriesrdvs, C OOC$8$8 ON3rps"""""" %%%%%%%%)KKKKKK(((((((NNNN LLLL OOOO MMMM UUUU VVVV MMMM MMMM KKKK RRRR JJJJ VVVVPPPP   r(