+ nDj)2^RIHt^RItRRltRRltR#)) annotationsNc$V^8dQhRRRRRR/#) data_typepa.DenseUnionType discriminantstrreturnz pa.DataType)formats"Q/data/cameron/venvs/s3viz/lib/python3.14/site-packages/rerun_sdk/rerun/_unions.py __annotate__rs(KK'8KKP[Kc@a\V3Rl\V444#)z/Return the data type of the given discriminant.c3`<"TF#qPS8XgKVPxK% R#5i)N)nametype).0frs& r *union_discriminant_type..s J166\3Is..)nextlist)rrs&fr union_discriminant_typers JYJ JJrc(V^8dQhRRRRRRRR/#)rrrrr childzpa.Arrayr r )r s"r rr s*!2#h[crc\V4Uu.uFq3PNK upPV4p\P!V.\ V4,\P !4R7p\P!\\ V44\P!4R7p\V4Uu.uF%p\P!^VPR7NK' ppVPW,PRR7Wt&\PPV\ V4RVP4^,VP4^,.VR7#uupiuupi \PdY'T&L~i;i)z Build a dense UnionArray given the `data_type`, a discriminant, and the child value array for a single child. If the discriminant string doesn't match any possible value, a `ValueError` is raised. )rF)safeN)rlengthbufferschildren)rrindexpaarraylenint8rangeint32nullsrcast ArrowInvalidArray from_buffersr )rrrridxtype_ids value_offsetsr!s&&& r build_dense_unionr1 s+ ? +?a66? + 1 1, ?CxxE *;HHHU3u:.RXXZ@M26y/B/Q(/HB 9>#6#6U C 88 5zx'')!,m.C.C.Ea.HI !  ,C ?? sE&:+E+(%E00F  F ) __future__rpyarrowr#rr1r rr r4s"K r