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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 import_timezones_file(self, data):
 """Parse geonames.org_ timezone exports. ``import_timezones_file()`` returns a dictionary with keys containing the timezone identifier, and values consisting of a UTC offset and UTC offset during daylight savings time in minutes. It expects data files in the following format:: Europe/Andorra	1.0	2.0 Asia/Dubai	4.0	4.0 Asia/Kabul	4.5	4.5 Files containing the data in this format can be downloaded from the geonames site in their `database export page`_ Files downloaded from the geonames site when processed by ``import_timezones_file()`` will return ``dict`` object of the following style:: {"Europe/Andorra": (60, 120), "Asia/Dubai": (240, 240), "Asia/Kabul": (270, 270)} Args: data (iter):
 geonames.org timezones data to read Returns: list: geonames.org timezone identifiers with their UTC offsets Raises: FileFormatError: Unknown file format .. _geonames.org: http://www.geonames.org/ .. _database export page: http://download.geonames.org/export/dump/ """

        self._tzfile = data
        field_names = ('ident', 'gmt_offset', 'dst_offset')
        time_parse = lambda n: int(float(n) * 60)
        data = utils.prepare_csv_read(data, field_names, delimiter=r"	")

        self.timezones = {}
        for row in data:
            if row['ident'] == 'TimeZoneId':
                continue
            try:
                delta = list(map(time_parse,
                                 (row['gmt_offset'], row['dst_offset'])))
            except ValueError:
                raise utils.FileFormatError('geonames.org')
            self.timezones[row['ident']] = delta