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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 taf(wxdata: TafData, units: Units) -> TafTrans: """ Translate the results of taf.parse Keys: Forecast, Min-Temp, Max-Temp Forecast keys: Wind, Visibility, Clouds, Altimeter, Wind-Shear, Turbulance, Icing, Other """

    translations = {'forecast': []}  # type: ignore
    for line in wxdata.forecast:
        trans = shared(line, units)  # type: ignore
        trans['wind'] = wind(line.wind_direction, line.wind_speed,
                             line.wind_gust, unit=units.wind_speed)
        trans['wind_shear'] = wind_shear(line.wind_shear, units.altitude, units.wind_speed)
        trans['turbulance'] = turb_ice(line.turbulance, units.altitude)
        trans['icing'] = turb_ice(line.icing, units.altitude)
        # Remove false 'Sky Clear' if line type is 'BECMG'
        if line.type == 'BECMG' and trans['clouds'] == 'Sky clear':
            trans['clouds'] = None  # type: ignore
        translations['forecast'].append(TafLineTrans(**trans))  # type: ignore
    translations['min_temp'] = min_max_temp(wxdata.min_temp, units.temperature)  # type: ignore
    translations['max_temp'] = min_max_temp(wxdata.max_temp, units.temperature)  # type: ignore
    translations['remarks'] = remarks.translate(wxdata.remarks)
    return TafTrans(**translations)