9i f%SSKJr /r\\\S'S\S\S\4SjrS\S\S\\\ \ \ \ 44S jr g ) )ChunkStorageMetadata__all__shard1shard2returnc[UR5n[U5HgnURUURUURU-:a gURUURUURU-:dMg g g)zCheck if two shards overlap.FT)lenoffsetsrangesizes)rrndimsis g/var/www/html/land-doc-ocr/venv/lib/python3.13/site-packages/torch/distributed/checkpoint/resharding.py"_check_shard_metadata_pair_overlaprsy  E 5\ >>! q 1FLLO C C >>! q 1FLLO C C   saved_shard current_shardc,/n[[URURURUR55HNununnnn[ XF-XW-5nU[ XT5- n XE:aSn XE- n OXT- n Sn UR X:X45 MP U$)aC Return the overlapping region between saved_shard and current_shard. There returned list has the same number of elements as the tensor's dimension. For each element, we produce a tuple with the following contents: (dimension, `saved_shard` offset, `current_shard` offset, length) Offsets are relative to each shard. r) enumeratezipr r minmaxappend) rrnarrowsdimsaved_shard_offsetcurrent_shard_offsetsaved_shard_sizecurrent_shard_size min_range_endlengthoffset_for_saved_tensoroffset_for_current_tensors r+_shards_get_overlap_region_wrt_saved_tensorr$sG      ! !             1 5 %9!NN  4&' #(:(Q %&:&O #() % +D M - 4 NrN) %torch.distributed.checkpoint.metadatarrliststr__annotations__boolrtupleintr$rrr-seFc *> $,%,6J, %S#s" #$,r