# Source code for pyFTS.models.seasonal.common

    import numpy as np
    import pandas as pd
    from enum import Enum
    from pyFTS.common import FuzzySet, Membership
    from pyFTS.partitioners import partitioner, Grid
    from datetime import date as dt

    class DateTime(Enum):
        year = 1
        month = 12
        day_of_month = 30
        day_of_year = 364
        day_of_week = 7
        hour = 6
        minute = 7
        second = 8
        hour_of_day = 24
        hour_of_week = 168
        hour_of_month = 744
        hour_of_year = 8736
        minute_of_hour = 60
        minute_of_day = 1440
        minute_of_week = 10080
        minute_of_month = 44640
        minute_of_year = 524160
        second_of_minute = 60.00001
        second_of_hour = 3600
        second_of_day = 86400

    def strip_datepart(date, date_part):
        if date_part == DateTime.year:
            tmp = date.year
        elif date_part == DateTime.month:
            tmp = date.month
        elif date_part == DateTime.day_of_year:
            tmp = date.timetuple().tm_yday
        elif date_part == DateTime.day_of_month:
            tmp = date.day
        elif date_part == DateTime.day_of_week:
            tmp = date.weekday()
        elif date_part == DateTime.hour or date_part == DateTime.hour_of_day:
            tmp = date.hour
        elif date_part == DateTime.hour_of_week:
            wk = (date.weekday()-1) * 24
            tmp = date.hour + wk
        elif date_part == DateTime.hour_of_month:
            wk = (date.day-1) * 24
            tmp = date.hour + wk
        elif date_part == DateTime.hour_of_year:
            wk = (date.timetuple().tm_yday-1) * 24
            tmp = date.hour + wk
        elif date_part == DateTime.minute or date_part == DateTime.minute_of_hour:
            tmp = date.minute
        elif date_part == DateTime.minute_of_day:
            wk = date.hour * 60
            tmp = date.minute + wk
        elif date_part == DateTime.minute_of_week:
            wk1 = (date.weekday()-1) * 1440 #24 * 60
            wk2 = date.hour * 60
            tmp = date.minute + wk1 + wk2
        elif date_part == DateTime.minute_of_month:
            wk1 = (date.day - 1) * 1440 #24 * 60
            wk2 = date.hour * 60
            tmp = date.minute + wk1 + wk2
        elif date_part == DateTime.minute_of_year:
            wk1 = (date.timetuple().tm_yday - 1) * 1440 #24 * 60
            wk2 = date.hour * 60
            tmp = date.minute + wk1 + wk2
        elif date_part == DateTime.second or date_part == DateTime.second_of_minute:
            tmp = date.second
        elif date_part == DateTime.second_of_hour:
            wk1 = date.minute * 60
            tmp = date.second + wk1
        elif date_part == DateTime.second_of_day:
            wk1 = date.hour * 3600 #60 * 60
            wk2 = date.minute * 60
            tmp = date.second + wk1 + wk2
        else:
            raise Exception("Unknown DateTime value!")

        return tmp

    class FuzzySet(FuzzySet.FuzzySet):
        """
        Temporal/Seasonal Fuzzy Set
        """

        def __init__(self, datepart, name, mf, parameters, centroid, alpha=1.0, **kwargs):
            super(FuzzySet, self).__init__(name, mf, parameters, centroid, alpha,
                                           **kwargs)
            self.datepart = datepart
            self.type = kwargs.get('type', 'seasonal')

        def transform(self, x):
            if self.type == 'seasonal' and isinstance(x, (dt, pd.Timestamp)):
                dp = strip_datepart(x, self.datepart)
            else:
                dp = x

            return dp