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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 decode(data):
 """ Handles decoding of the CSV `data`. Args: data (str):
 Data which will be decoded. Returns: dict: Dictionary with decoded data. """

    # try to guess dialect of the csv file
    dialect = None
    try:
        dialect = csv.Sniffer().sniff(data)
    except Exception:
        pass

    # parse data with csv parser
    handler = None
    try:
        data = data.splitlines()  # used later
        handler = csv.reader(data, dialect)
    except Exception, e:
        raise MetaParsingException("Can't parse your CSV data: %s" % e.message)

    # make sure, that data are meaningful
    decoded = []
    for cnt, line in enumerate(handler):
        usable_data = filter(lambda x: x.strip(), line)

        if not usable_data:
            continue

        if len(usable_data) != 2:
            raise MetaParsingException(
                "Bad number of elements - line %d:\n\t%s\n" % (cnt, data[cnt])
            )

        # remove trailing spaces, decode to utf-8
        usable_data = map(lambda x: x.strip().decode("utf-8"), usable_data)

        # remove quotes if the csv.Sniffer failed to decode right `dialect`
        usable_data = map(lambda x: _remove_quotes(x), usable_data)

        decoded.append(usable_data)

    # apply another checks to data
    decoded = validator.check_structure(decoded)

    return decoded