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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def get_filepath_or_buffer(filepath_or_buffer, encoding=None, compression=None, mode=None):
 """ If the filepath_or_buffer is a url, translate and return the buffer. Otherwise passthrough. Parameters filepath_or_buffer : a url, filepath (str, py.path.local or pathlib.Path), or buffer compression : {{'gzip', 'bz2', 'zip', 'xz', None}}, optional encoding : the encoding to use to decode bytes, default is 'utf-8' mode : str, optional Returns ------- tuple of ({a filepath_ or buffer or S3File instance}, encoding, str, compression, str, should_close, bool) """

    filepath_or_buffer = _stringify_path(filepath_or_buffer)

    if _is_url(filepath_or_buffer):
        req = urlopen(filepath_or_buffer)
        content_encoding = req.headers.get('Content-Encoding', None)
        if content_encoding == 'gzip':
            # Override compression based on Content-Encoding header
            compression = 'gzip'
        reader = BytesIO(req.read())
        req.close()
        return reader, encoding, compression, True

    if is_s3_url(filepath_or_buffer):
        from pandas.io import s3
        return s3.get_filepath_or_buffer(filepath_or_buffer,
                                         encoding=encoding,
                                         compression=compression,
                                         mode=mode)

    if is_gcs_url(filepath_or_buffer):
        from pandas.io import gcs
        return gcs.get_filepath_or_buffer(filepath_or_buffer,
                                          encoding=encoding,
                                          compression=compression,
                                          mode=mode)

    if isinstance(filepath_or_buffer, (str, bytes, mmap.mmap)):
        return _expand_user(filepath_or_buffer), None, compression, False

    if not is_file_like(filepath_or_buffer):
        msg = "Invalid file path or buffer object type: {_type}"
        raise ValueError(msg.format(_type=type(filepath_or_buffer)))

    return filepath_or_buffer, None, compression, False