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import numpy as np
from pandas._typing import npt
def build_field_sarray(
dtindex: npt.NDArray[np.int64], # const int64_t[:]
reso: int, # NPY_DATETIMEUNIT
) -> np.ndarray: ...
def month_position_check(fields, weekdays) -> str | None: ...
def get_date_name_field(
dtindex: npt.NDArray[np.int64], # const int64_t[:]
field: str,
locale: str | None = ...,
reso: int = ..., # NPY_DATETIMEUNIT
) -> npt.NDArray[np.object_]: ...
def get_start_end_field(
dtindex: npt.NDArray[np.int64],
field: str,
freqstr: str | None = ...,
month_kw: int = ...,
reso: int = ..., # NPY_DATETIMEUNIT
) -> npt.NDArray[np.bool_]: ...
def get_date_field(
dtindex: npt.NDArray[np.int64], # const int64_t[:]
field: str,
reso: int = ..., # NPY_DATETIMEUNIT
) -> npt.NDArray[np.int32]: ...
def get_timedelta_field(
tdindex: npt.NDArray[np.int64], # const int64_t[:]
field: str,
reso: int = ..., # NPY_DATETIMEUNIT
) -> npt.NDArray[np.int32]: ...
def get_timedelta_days(
tdindex: npt.NDArray[np.int64], # const int64_t[:]
reso: int = ..., # NPY_DATETIMEUNIT
) -> npt.NDArray[np.int64]: ...
def isleapyear_arr(
years: np.ndarray,
) -> npt.NDArray[np.bool_]: ...
def build_isocalendar_sarray(
dtindex: npt.NDArray[np.int64], # const int64_t[:]
reso: int, # NPY_DATETIMEUNIT
) -> np.ndarray: ...
def _get_locale_names(name_type: str, locale: str | None = ...): ...
class RoundTo:
@property
def MINUS_INFTY(self) -> int: ...
@property
def PLUS_INFTY(self) -> int: ...
@property
def NEAREST_HALF_EVEN(self) -> int: ...
@property
def NEAREST_HALF_PLUS_INFTY(self) -> int: ...
@property
def NEAREST_HALF_MINUS_INFTY(self) -> int: ...
def round_nsint64(
values: npt.NDArray[np.int64],
mode: RoundTo,
nanos: int,
) -> npt.NDArray[np.int64]: ...
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