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.
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InfoLeaseExtract/venv/Lib/site-packages/pandas/_libs/tslibs/conversion.pyi

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from datetime import (
datetime,
tzinfo,
)
import numpy as np
from pandas._typing import npt
DT64NS_DTYPE: np.dtype
TD64NS_DTYPE: np.dtype
class OutOfBoundsTimedelta(ValueError): ...
def precision_from_unit(
unit: str,
) -> tuple[int, int,]: ... # (int64_t, _)
def ensure_datetime64ns(
arr: np.ndarray, # np.ndarray[datetime64[ANY]]
copy: bool = ...,
) -> np.ndarray: ... # np.ndarray[datetime64ns]
def ensure_timedelta64ns(
arr: np.ndarray, # np.ndarray[timedelta64[ANY]]
copy: bool = ...,
) -> np.ndarray: ... # np.ndarray[timedelta64ns]
def datetime_to_datetime64(
values: npt.NDArray[np.object_],
) -> tuple[np.ndarray, tzinfo | None,]: ... # (np.ndarray[dt64ns], _)
def localize_pydatetime(dt: datetime, tz: tzinfo | None) -> datetime: ...