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Read SAS sas7bdat or xport files.
é    )Úannotations)ÚABCÚabstractmethod)ÚTYPE_CHECKINGÚoverload)Údoc)Ú_shared_docs)Ústringify_path)ÚHashable)ÚTracebackType)ÚCompressionOptionsÚFilePathÚ
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ReaderBasez>
    Protocol for XportReader and SAS7BDATReader classes.
    Nú
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    Read SAS files stored as either XPORT or SAS7BDAT format files.

    Parameters
    ----------
    filepath_or_buffer : str, path object, or file-like object
        String, path object (implementing ``os.PathLike[str]``), or file-like
        object implementing a binary ``read()`` function. The string could be a URL.
        Valid URL schemes include http, ftp, s3, and file. For file URLs, a host is
        expected. A local file could be:
        ``file://localhost/path/to/table.sas7bdat``.
    format : str {{'xport', 'sas7bdat'}} or None
        If None, file format is inferred from file extension. If 'xport' or
        'sas7bdat', uses the corresponding format.
    index : identifier of index column, defaults to None
        Identifier of column that should be used as index of the DataFrame.
    encoding : str, default is None
        Encoding for text data.  If None, text data are stored as raw bytes.
    chunksize : int
        Read file `chunksize` lines at a time, returns iterator.
    iterator : bool, defaults to False
        If True, returns an iterator for reading the file incrementally.
    {decompression_options}

    Returns
    -------
    DataFrame if iterator=False and chunksize=None, else SAS7BDATReader
    or XportReader

    Examples
    --------
    >>> df = pd.read_sas("sas_data.sas7bdat")  # doctest: +SKIP
    NzVIf this is a buffer object rather than a string name, you must specify a format stringz.xptZxportz	.sas7bdatZsas7bdatz2unable to infer format of SAS file from filename: r   )ÚXportReader)r'   r(   r)   r+   )ÚSAS7BDATReaderzunknown SAS format)r	   Ú
isinstanceÚstrÚ
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ÿûû)r%   Ú
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