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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 dt_to_int(value, time_unit='us'):
 """ Converts a datetime type to an integer with the supplied time unit. """

    if pd:
        if isinstance(value, pd.Period):
            value = value.to_timestamp()
        if isinstance(value, pd.Timestamp):
            try:
                value = value.to_datetime64()
            except:
                value = np.datetime64(value.to_pydatetime())
    elif isinstance(value, cftime_types):
        return cftime_to_timestamp(value, time_unit)

    if isinstance(value, dt.date):
        value = dt.datetime(*value.timetuple()[:6])

    # Handle datetime64 separately
    if isinstance(value, np.datetime64):
        try:
            value = np.datetime64(value, 'ns')
            tscale = (np.timedelta64(1, time_unit)/np.timedelta64(1, 'ns'))
            return value.tolist()/tscale
        except:
            # If it can't handle ns precision fall back to datetime
            value = value.tolist()

    if time_unit == 'ns':
        tscale = 1e9
    else:
        tscale = 1./np.timedelta64(1, time_unit).tolist().total_seconds()

    try:
        # Handle python3
        return int(value.timestamp() * tscale)
    except:
        # Handle python2
        return (time.mktime(value.timetuple()) + value.microsecond / 1e6) * tscale