src/datatrove/pipeline/readers/csv.py [34:66]:
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    def __init__(
        self,
        data_folder: DataFolderLike,
        paths_file: DataFileLike | None = None,
        compression: Literal["infer", "gzip", "zstd"] | None = "infer",
        limit: int = -1,
        skip: int = 0,
        file_progress: bool = False,
        doc_progress: bool = False,
        adapter: Callable = None,
        text_key: str = "text",
        id_key: str = "id",
        default_metadata: dict = None,
        recursive: bool = True,
        glob_pattern: str | None = None,
        shuffle_files: bool = False,
    ):
        super().__init__(
            data_folder,
            paths_file,
            limit,
            skip,
            file_progress,
            doc_progress,
            adapter,
            text_key,
            id_key,
            default_metadata,
            recursive,
            glob_pattern,
            shuffle_files,
        )
        self.compression = compression
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src/datatrove/pipeline/readers/jsonl.py [35:67]:
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    def __init__(
        self,
        data_folder: DataFolderLike,
        paths_file: DataFileLike | None = None,
        compression: Literal["infer", "gzip", "zstd"] | None = "infer",
        limit: int = -1,
        skip: int = 0,
        file_progress: bool = False,
        doc_progress: bool = False,
        adapter: Callable = None,
        text_key: str = "text",
        id_key: str = "id",
        default_metadata: dict = None,
        recursive: bool = True,
        glob_pattern: str | None = None,
        shuffle_files: bool = False,
    ):
        super().__init__(
            data_folder,
            paths_file,
            limit,
            skip,
            file_progress,
            doc_progress,
            adapter,
            text_key,
            id_key,
            default_metadata,
            recursive,
            glob_pattern,
            shuffle_files,
        )
        self.compression = compression
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