j#ddlmZddlZddlmZmZddlmZddl m Z ddl m Z m Z ddlmZddlmZeje5ddlmZdddn #1swxYwYerdd lmZdd lmZmZmZdd lmZmZe d-d d d d.dZe d-d dd/dZe d-d dd0d!Z d1ed#d d0d$Ze d-d d d d.d%Ze d-d dd/d&Ze d-d dd0d'Z d1ed#d d0d(Ze d-d d d d2d)Z e d-d dd3d*Z e d-d dd4d+Z d1ed#d d4d,Z dS)5) annotationsN) TYPE_CHECKINGoverload) functions)parse_into_expression) wrap_exprwrap_s)Int64)parse_into_datatype_expr)Literal) DataTypeExprExprSeries)IntoExprColumnPolarsIntegerType.dtypeeagerstartint | IntoExprColumnendint | IntoExprColumn | Nonestepintr PolarsIntegerType | DataTypeExprrLiteral[False]returnrcdSNrrrrrs e/home/longshao/multi-rider-rag/.venv/lib/python3.11/site-packages/polars/functions/range/int_range.pyaranger#  3)r Literal[True]rcdSrr r!s r"r#r#! Sr%bool Expr | SeriescdSrr r!s r"r#r#, Cr%Fc*t|||||S)aS Generate a range of integers. Alias for :func:`int_range`. Parameters ---------- start Lower bound of the range (inclusive). end Upper bound of the range (exclusive). step Step size of the range. dtype Data type of the range. Defaults to `Int64`. eager Evaluate immediately and return a `Series`. If set to `False` (default), return an expression instead. Returns ------- Expr or Series Column of integer data type `dtype`. See Also -------- int_range : Generate a range of integers. int_ranges : Generate a range of integers for each row of the input columns. Examples -------- >>> pl.arange(0, 3, eager=True) shape: (3,) Series: 'literal' [i64] [ 0 1 2 ] r) int_ranger!s r"r#r#7s` UCU% @ @ @@r%cdSrr r!s r"r/r/jr$r%cdSrr r!s r"r/r/ur(r%cdSrr r!s r"r/r/r,r%c||}d}t|}t|tr@t|tr+|r)tt j||||jSt|}t|}tt j ||||j}|r&tj | S|S)u Generate a range of integers. Parameters ---------- start Start of the range (inclusive). Defaults to 0. end End of the range (exclusive). If set to `None` (default), the value of `start` is used and `start` is set to `0`. step Step size of the range. dtype Data type of the range. eager Evaluate immediately and return a `Series`. If set to `False` (default), return an expression instead. Returns ------- Expr or Series Column of integer data type `dtype`. See Also -------- int_ranges : Generate a range of integers for each row of the input columns. Examples -------- >>> pl.int_range(0, 3, eager=True) shape: (3,) Series: 'literal' [i64] [ 0 1 2 ] `end` can be omitted for a shorter syntax. >>> pl.int_range(3, eager=True) shape: (3,) Series: 'literal' [i64] [ 0 1 2 ] Generate an index column by using `int_range` in conjunction with :func:`len`. >>> df = pl.DataFrame({"a": [1, 3, 5], "b": [2, 4, 6]}) >>> df.select( ... pl.int_range(pl.len(), dtype=pl.UInt32).alias("index"), ... pl.all(), ... ) shape: (3, 3) ┌───────┬─────┬─────┐ │ index ┆ a ┆ b │ │ --- ┆ --- ┆ --- │ │ u32 ┆ i64 ┆ i64 │ ╞═══════╪═════╪═════╡ │ 0 ┆ 1 ┆ 2 │ │ 1 ┆ 3 ┆ 4 │ │ 2 ┆ 5 ┆ 6 │ └───────┴─────┴─────┘ Nr) r isinstancerr plreager_int_range_pydatatype_exprrrr/Fselect to_series) rrrrr dtype_expr start_pyexpr end_pyexprresults r"r/r/sV {)%00J% *S#"6"6 5   sD*2M N N   )//L&s++J  lJj6QRRF ,x))+++ Mr%cdSrr r!s r" int_rangesr@r$r%cdSrr r!s r"r@r@r(r%cdSrr r!s r"r@r@r,r%c,||}d}t|}t|}t|}t|}ttj||||j} |r&t j| S| S)u Generate a range of integers for each row of the input columns. Parameters ---------- start Start of the range (inclusive). Defaults to 0. end End of the range (exclusive). If set to `None` (default), the value of `start` is used and `start` is set to `0`. step Step size of the range. dtype Integer data type of the ranges. Defaults to `Int64`. eager Evaluate immediately and return a `Series`. If set to `False` (default), return an expression instead. Returns ------- Expr or Series Column of data type `List(dtype)`. See Also -------- int_range : Generate a single range of integers. Examples -------- >>> df = pl.DataFrame({"start": [1, -1], "end": [3, 2]}) >>> df.with_columns(int_range=pl.int_ranges("start", "end")) shape: (2, 3) ┌───────┬─────┬────────────┐ │ start ┆ end ┆ int_range │ │ --- ┆ --- ┆ --- │ │ i64 ┆ i64 ┆ list[i64] │ ╞═══════╪═════╪════════════╡ │ 1 ┆ 3 ┆ [1, 2] │ │ -1 ┆ 2 ┆ [-1, 0, 1] │ └───────┴─────┴────────────┘ `end` can be omitted for a shorter syntax. >>> df.select("end", int_range=pl.int_ranges("end")) shape: (2, 2) ┌─────┬───────────┐ │ end ┆ int_range │ │ --- ┆ --- │ │ i64 ┆ list[i64] │ ╞═════╪═══════════╡ │ 3 ┆ [0, 1, 2] │ │ 2 ┆ [0, 1] │ └─────┴───────────┘ Nr) r rrr5r@r7r8r9r:) rrrrrr;r<r= step_pyexprr>s r"r@r@ s| {)%00J(//L&s++J'--K   *k:3N  F  ,x))+++ Mr%)...) rrrrrrrrrrrr) rrrrrrrrrr&rr) rrrrrrrrrr)rr*)rNr-) rrrrrrrrrrrr) rrrrrrrrrr&rr) rrrrrrrrrr)rr*)! __future__r contextlibtypingrrpolarsrr8polars._utils.parserpolars._utils.wraprr polars.datatypesr polars.datatypes._parser suppress ImportError polars._plr_plrr5r r rrpolars._typingrrr#r/r@r r%r"rRs[""""""********!!!!!!55555500000000""""""<<<<<<Z%%A1111111111@@@@@@@@ "%'* /2   "%'* /2   "%'* /2  #$'+0A /4 0A0A0A0A0A0Af "%'* /2   "%'* /2   "%'* /2  #$'+^ /4 ^^^^^^B "%'*!$ /2   "%'*!$ /2   "%'*!$ /2  #$'+!"O /4 OOOOOOOOsAAA