A PyQT GUI application for converting InfoLease report outputs into Excel files. Handles parsing and summarizing. Learns where files are meant to be store and compiles monthly and yearly summaries.
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
InfoLeaseExtract/venv/Lib/site-packages/pandas/_libs/tslibs/timezones.pyi

25 lines
688 B

from datetime import (
datetime,
tzinfo,
)
from typing import Callable
import numpy as np
from pandas._typing import npt
# imported from dateutil.tz
dateutil_gettz: Callable[[str], tzinfo]
def tz_standardize(tz: tzinfo) -> tzinfo: ...
def tz_compare(start: tzinfo | None, end: tzinfo | None) -> bool: ...
def infer_tzinfo(
start: datetime | None,
end: datetime | None,
) -> tzinfo | None: ...
def get_dst_info(
tz: tzinfo,
) -> tuple[npt.NDArray[np.int64], npt.NDArray[np.int64], str]: ...
def maybe_get_tz(tz: str | int | np.int64 | tzinfo | None) -> tzinfo | None: ...
def get_timezone(tz: tzinfo) -> tzinfo | str: ...
def is_utc(tz: tzinfo | None) -> bool: ...