human
Can you provide a the Python code you requested given the following:
Complete the below
def import_climate_readings(netcdf_file, field_name, add_reading, converter, start_date_time_string=None, is_undefined=(lambda x: (((-99.900003) < x < (-99.9)) or (x < (-100000000.0)) or (x > 100000000.0))), time_step_string=None, month_mapping_string=None, skip_places=False):

    ''''Assumptions:
    * there are no places
    * the data is in order of places'
    '''
assistant
#Here is the Python code you requested.
    variables = netcdf_file.variables
    if (field_name is '?'):
        print ('field_name    could    be    one    of    %s' % variables.keys())
    else:
        month_mapping_string
        def to_list(variable):
            result = []
            for i in range(len(variable)):
                result.append(variable[i])
            return result
        def iter_pairs(list):
            for index in range(len(list)):
                (yield (index, list[index]))
        time = variables['time']
        times = to_list(time)
        try:
            time_units_string = time.units
        except AttributeError:
            raise Exception('File    has    no    time    unit    information')
        else:
            (parsed_time_step_string, _, parsed_date, parsed_time) = time_units_string.split('    ')
            parsed_date_time_string = ((parsed_date + '    ') + parsed_time)
            if (start_date_time_string is not None):
                assert (start_date_time_string == parsed_date_time_string)
            try:
                start_date_time = datetime.datetime.strptime(parsed_date_time_string, '%Y-%m-%d    %H:%M')
            except ValueError:
                start_date_time = datetime.datetime.strptime(parsed_date_time_string, '%Y-%m-%d    %H:%M:%S')
            if (time_step_string is not None):
                assert (time_step_string == parsed_time_step_string)
            else:
                time_step_string = parsed_time_step_string
        time_step = datetime.timedelta(**{time_step_string: 1})
        try:
            lat_variable = variables['lat']
        except KeyError:
            lat_variable = variables['latitude']
        lat = to_list(lat_variable)
        try:
            lon_variable = variables['lon']
        except KeyError:
            lon_variable = variables['longitude']
        month_mapping = {'rounded': ClimateDataPortal.rounded_date_to_month_number, 'twelfths': ClimateDataPortal.floored_twelfth_of_a_360_day_year, 'calendar':...