import logging
from logging import config
from pandas._libs.tslibs import NaTType # noqa
from miranda.scripting import LOGGING_CONFIG
logging.config.dictConfig(LOGGING_CONFIG)
__all__ = [
"DecoderError",
"FREQUENCY_TO_POTENTIAL_TIME_UNITS",
"TIME_UNITS_TO_FREQUENCY",
"TIME_UNITS_TO_TIMEDELTA",
]
TIME_UNITS_TO_FREQUENCY = {
"subhrPt": "sub-hr",
"hourly": "1hr",
"hours": "1hr",
"hour": "1hr",
"hr": "1hr",
"1hr": "1hr",
"3-hourly": "3hr",
"3hr": "3hr",
"6-hourly": "6hr",
"6hr": "6hr",
"Eday": "day",
"daily": "day",
"days": "day",
"day": "day",
"weekly": "sem",
"weeks": "sem",
"sem": "sem",
"byweekly": "2sem",
"2sem": "2sem",
"monthly": "mon",
"months": "mon",
"month": "mon",
"mon": "mon",
"monC": "monC",
"Amon": "mon",
"Omon": "mon",
"qtr": "3mon",
"quarter": "3mon",
"3mon": "3mon",
"2qtr": "6mon",
"semi-annual": "6mon",
"half-yearly": "6mon",
"6mon": "6mon",
"yearly": "yr",
"years": "yr",
"annual": "yr",
"yr": "yr",
"yrPt": "yrPt",
"decadal": "dec",
"decades": "dec",
"dec": "dec",
"fixed": "fx",
"fx": "fx",
}
FREQUENCY_TO_POTENTIAL_TIME_UNITS = dict()
for key, value in TIME_UNITS_TO_FREQUENCY.items():
FREQUENCY_TO_POTENTIAL_TIME_UNITS.setdefault(value, list()).append(key)
TIME_UNITS_TO_TIMEDELTA = {
"hourly": "1h",
"hours": "1h",
"hour": "1h",
"hr": "1h",
"1hr": "1h",
"1hrCM": "1h",
"1hrPt": "1h",
"3hr": "3h",
"3hrPt": "3h",
"6-hourly": "6h",
"6hr": "6h",
"6hrPt": "6h",
"daily": "1d",
"day": "1d",
"days": "1d",
"weekly": "7d",
"weeks": "7d",
"sem": "7d",
"biweekly": "14d",
"2sem": "14d",
"mon": "30d",
"monC": "30d",
"monPt": "30d",
"Amon": "30d",
"qtr": "90d",
"quarter": "90d",
"3mon": "90d",
"2qtr": "180d",
"6mon": "180d",
"half-yearly": "180d",
"semi-annual": "180d",
"annual": "365d",
"yearly": "365d",
"years": "365d",
"year": "365d",
"yr": "365d",
"yrPt": "365d",
}
[docs]class DecoderError(Exception):
pass