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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 read_msgpack(path_or_buf, encoding='utf-8', iterator=False, **kwargs):
 """ Load msgpack pandas object from the specified file path THIS IS AN EXPERIMENTAL LIBRARY and the storage format may not be stable until a future release. Parameters path_or_buf : string File path, BytesIO like or string encoding : Encoding for decoding msgpack str type iterator : boolean, if True, return an iterator to the unpacker (default is False) Returns ------- obj : same type as object stored in file """

    path_or_buf, _, _, should_close = get_filepath_or_buffer(path_or_buf)
    if iterator:
        return Iterator(path_or_buf)

    def read(fh):
        unpacked_obj = list(unpack(fh, encoding=encoding, **kwargs))
        if len(unpacked_obj) == 1:
            return unpacked_obj[0]

        if should_close:
            try:
                path_or_buf.close()
            except IOError:
                pass
        return unpacked_obj

    # see if we have an actual file
    if isinstance(path_or_buf, str):
        try:
            exists = os.path.exists(path_or_buf)
        except (TypeError, ValueError):
            exists = False

        if exists:
            with open(path_or_buf, 'rb') as fh:
                return read(fh)

    if isinstance(path_or_buf, bytes):
        # treat as a binary-like
        fh = None
        try:
            fh = BytesIO(path_or_buf)
            return read(fh)
        finally:
            if fh is not None:
                fh.close()
    elif hasattr(path_or_buf, 'read') and callable(path_or_buf.read):
        # treat as a buffer like
        return read(path_or_buf)

    raise ValueError('path_or_buf needs to be a string file path or file-like')