U -eR @s$UddlZddlZddlZddlZddlmZddlZddlZddlm Z ej ddk Z e rjddl mZe je je je je jgZee jed<eD]FZejejkrejejek redejd ejejed d qeed d dZejedddZ ejeedddZ!ddddZ"dS)N)List) compressionZs3fs) S3FileSystemCOMPRESSION_FILESYSTEMSz*A filesystem protocol was already set for z and will be overwritten.T)clobber) dataset_pathreturncCsd|kr|dd}|S)z Preprocesses `dataset_path` and removes remote filesystem (e.g. removing `s3://`). Args: dataset_path (`str`): Path (e.g. `dataset/train`) or remote uri (e.g. `s3://my-bucket/dataset/train`) of the dataset directory. z://r)split)rr ^/var/www/html/Darija-Ai-Train/env/lib/python3.8/site-packages/datasets/filesystems/__init__.pyextract_path_from_uri!sr )fsr cCs|dk r|jdkrdSdSdS)z Validates if filesystem has remote protocol. Args: fs (`fsspec.spec.AbstractFileSystem`): An abstract super-class for pythonic file-systems, e.g. `fsspec.filesystem('file')` or [`datasets.filesystems.S3FileSystem`]. NfileTF)protocol)rr r r is_remote_filesystem.sr)rsrcdstcCs<t| }|r(t||||n|j||dddS)z2 Renames the file `src` in `fs` to `dst`. T) recursiveN)rshutilmoveZ_strip_protocolmv)rrris_localr r r rename<s r)r cCs@ttjdrtjn$dtjjd<dtjjd<ttj_dS)z Clear reference to the loop and thread. This is necessary otherwise HTTPFileSystem hangs in the ML training loop. Only required for fsspec >= 0.9.0 See https://github.com/fsspec/gcsfs/issues/379 reset_lockNr) hasattrfsspecZasynrZiothreadloop threadingLocklockr r r r _reset_fsspec_lockHs     r!)# importlibrrwarningstypingrrZ fsspec.asynrutil find_specZ _has_s3fsZ s3filesystemrZ Bz2FileSystemZGzipFileSystemZ Lz4FileSystemZ XzFileSystemZZstdFileSystemrZBaseCompressedFileFileSystem__annotations__Zfs_classrregistrywarnZregister_implementationstrr ZAbstractFileSystemboolrrr!r r r r s2