jddlmZddlmZmZmZddlmZddlm Z ddl m Z m Z ddl mZddlmZerddlmZed d ZGd d eeZdS)) annotations) TYPE_CHECKINGGenericTypeVar)#GET_CATEGORIES_DEPRECATION_TEMPLATE)issue_deprecation_warning)ExprKindExprNode)Version)String)ExprExprTr )boundceZdZddZd dZdS) ExprCatNamespaceexprrreturnNonec||_dS)N)_expr)selfrs t/home/lighthouse/badge-speaker-benchmark/.benchmark-venv-community/lib/python3.11/site-packages/narwhals/expr_cat.py__init__zExprCatNamespace.__init__s  c||jjtjtjhvr2|jt tjdSttj dd|j tS)aGet unique categories from column. Warning: This is deprecated and it will be removed in a future version, as Polars removed its own `cat.get_categories`. To get the distinct values present in a Categorical column, use [`Expr.unique`][narwhals.Expr.unique]. For the fixed category list of an Enum, use its `dtype.categories`. Until it is removed, it is implemented as `unique().drop_nulls().cast(String)`, so it returns only the values which are actually present, in no guaranteed order. Note: In `narwhals.stable.v1` and `narwhals.stable.v2` this stays available, and keeps dispatching to each backend's native implementation. Examples: >>> import pandas as pd >>> import narwhals.stable.v1 as nw >>> df_native = pd.DataFrame( ... {"fruits": ["apple", "mango", "mango"]}, dtype="category" ... ) >>> df = nw.from_native(df_native) >>> df.select(nw.col("fruits").cat.get_categories()).to_native() fruits 0 apple 1 mango zcat.get_categoriesr )clsz2.26.0)_version)rrr V1V2 _append_noder r FILTRATIONrrformatunique drop_nullscastr )rs rget_categorieszExprCatNamespace.get_categoriess< : 7:wz": : ::**,.BCC  " / 66 B B BX    z  ""--//44V<<r3s""""""2222222222CCCCCC::::::;;;;;;;;######""""""#""""""v&&&*=*=*=*=*=wu~*=*=*=*=*=r