a ij@sdZddlmZddlZddlZddlmZmZmZm Z m Z eZ eZ e dZ e dZeZe dZe dZe d Zddd d d Zed dddddddZddddddZdddddZdS) zItertools utils.) annotationsN)AnyCallableIterableIteratorTypeVar_T_KeyT_K_Tin_Tout)xreturncCs|S)zPass through function.)r rrQ/home/ghrups/robot-bench/.venv/lib/python3.9/site-packages/etils/epy/itertools.py _identity(sr)valuezIterable[_Tin]zCallable[[_Tin], _K]zCallable[[_Tin], _Tout]zdict[_K, list[_Tout]])iterablekeyrrcCs2tt}|D]}|||||qt|S)aSimilar to `itertools.groupby` but return result as a `dict()`. Example: ```python out = epy.groupby( ['555', '4', '11', '11', '333'], key=len, value=int, ) # Order is consistent with above assert out == { 3: [555, 333], 1: [4], 2: [11, 11], } ``` Other difference with `itertools.groupby`: * Iterable do not need to be sorted. Order of the original iterator is preserved in the group. * Transformation can be applied to the value too Args: iterable: The iterable to group key: Mapping applied to group the values (should return a hashable) value: Mapping applied to the values Returns: The dict ) collections defaultdictlistappenddict)rrrgroupsvrrrgroupby-s& rz Iterable[_T]zCallable[[_T], bool]ztuple[list[_T], list[_T]])r predicatercCs8g}g}|D]"}||r$||q ||q ||fS)a]Split the iterable into 2 lists (false, true), based on the predicate. Example: ```python small, big = epy.splitby([100, 4, 4, 1, 200], lambda x: x > 10) assert small == [4, 4, 1] assert big == [100, 200] ``` Args: iterable: The iterable to split predicate: Function applied to split Returns: False list, True list )r)rrZ false_listZ true_listrrrrsplitbyYs  rzUnpack[dict[_KeyT, _ValuesT]]z(Iterator[_KeyT, tuple[Unpack[_ValuesT]]])dictsrc'sfttj|}|d}t|t|krzzip_dict..N)set itertoolschainlenKeyErrortuple)rall_keysZd0rr"rzip_dictws r,)__doc__ __future__rrr&typingrrrrrZUnpackZ TypeVarTuplerr Z_ValuesTr r r rrrr,rrrrs"  ,