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175 lines
4.9 KiB
175 lines
4.9 KiB
from datetime import timedelta
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from typing import (
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ClassVar,
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Literal,
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TypeAlias,
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TypeVar,
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overload,
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)
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import numpy as np
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from pandas._libs.tslibs import (
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NaTType,
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Tick,
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)
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from pandas._typing import (
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Frequency,
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Self,
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npt,
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)
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# This should be kept consistent with the keys in the dict timedelta_abbrevs
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# in pandas/_libs/tslibs/timedeltas.pyx
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UnitChoices: TypeAlias = Literal[
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"Y",
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"y",
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"M",
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"W",
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"w",
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"D",
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"d",
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"days",
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"day",
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"hours",
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"hour",
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"hr",
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"h",
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"m",
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"minute",
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"min",
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"minutes",
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"T",
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"t",
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"s",
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"seconds",
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"sec",
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"second",
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"ms",
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"milliseconds",
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"millisecond",
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"milli",
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"millis",
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"L",
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"l",
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"us",
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"microseconds",
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"microsecond",
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"µs",
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"micro",
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"micros",
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"u",
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"ns",
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"nanoseconds",
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"nano",
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"nanos",
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"nanosecond",
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"n",
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]
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_S = TypeVar("_S", bound=timedelta)
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def get_unit_for_round(freq, creso: int) -> int: ...
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def disallow_ambiguous_unit(unit: str | None) -> None: ...
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def ints_to_pytimedelta(
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m8values: npt.NDArray[np.timedelta64],
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box: bool = ...,
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) -> npt.NDArray[np.object_]: ...
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def array_to_timedelta64(
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values: npt.NDArray[np.object_],
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unit: str | None = ...,
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errors: str = ...,
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) -> np.ndarray: ... # np.ndarray[m8ns]
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def parse_timedelta_unit(unit: str | None) -> UnitChoices: ...
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def delta_to_nanoseconds(
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delta: np.timedelta64 | timedelta | Tick,
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reso: int = ..., # NPY_DATETIMEUNIT
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round_ok: bool = ...,
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) -> int: ...
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def floordiv_object_array(
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left: np.ndarray, right: npt.NDArray[np.object_]
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) -> np.ndarray: ...
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def truediv_object_array(
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left: np.ndarray, right: npt.NDArray[np.object_]
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) -> np.ndarray: ...
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class Timedelta(timedelta):
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_creso: int
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min: ClassVar[Timedelta]
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max: ClassVar[Timedelta]
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resolution: ClassVar[Timedelta]
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value: int # np.int64
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_value: int # np.int64
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# error: "__new__" must return a class instance (got "Union[Timestamp, NaTType]")
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def __new__( # type: ignore[misc]
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cls: type[_S],
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value=...,
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unit: str | None = ...,
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**kwargs: float | np.integer | np.floating,
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) -> _S | NaTType: ...
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@classmethod
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def _from_value_and_reso(cls, value: np.int64, reso: int) -> Timedelta: ...
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@property
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def days(self) -> int: ...
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@property
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def seconds(self) -> int: ...
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@property
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def microseconds(self) -> int: ...
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def total_seconds(self) -> float: ...
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def to_pytimedelta(self) -> timedelta: ...
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def to_timedelta64(self) -> np.timedelta64: ...
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@property
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def asm8(self) -> np.timedelta64: ...
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# TODO: round/floor/ceil could return NaT?
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def round(self, freq: Frequency) -> Self: ...
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def floor(self, freq: Frequency) -> Self: ...
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def ceil(self, freq: Frequency) -> Self: ...
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@property
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def resolution_string(self) -> str: ...
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def __add__(self, other: timedelta) -> Timedelta: ...
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def __radd__(self, other: timedelta) -> Timedelta: ...
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def __sub__(self, other: timedelta) -> Timedelta: ...
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def __rsub__(self, other: timedelta) -> Timedelta: ...
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def __neg__(self) -> Timedelta: ...
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def __pos__(self) -> Timedelta: ...
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def __abs__(self) -> Timedelta: ...
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def __mul__(self, other: float) -> Timedelta: ...
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def __rmul__(self, other: float) -> Timedelta: ...
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# error: Signature of "__floordiv__" incompatible with supertype "timedelta"
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@overload # type: ignore[override]
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def __floordiv__(self, other: timedelta) -> int: ...
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@overload
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def __floordiv__(self, other: float) -> Timedelta: ...
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@overload
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def __floordiv__(
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self, other: npt.NDArray[np.timedelta64]
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) -> npt.NDArray[np.intp]: ...
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@overload
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def __floordiv__(
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self, other: npt.NDArray[np.number]
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) -> npt.NDArray[np.timedelta64] | Timedelta: ...
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@overload
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def __rfloordiv__(self, other: timedelta | str) -> int: ...
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@overload
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def __rfloordiv__(self, other: None | NaTType) -> NaTType: ...
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@overload
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def __rfloordiv__(self, other: np.ndarray) -> npt.NDArray[np.timedelta64]: ...
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@overload
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def __truediv__(self, other: timedelta) -> float: ...
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@overload
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def __truediv__(self, other: float) -> Timedelta: ...
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def __mod__(self, other: timedelta) -> Timedelta: ...
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def __divmod__(self, other: timedelta) -> tuple[int, Timedelta]: ...
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def __le__(self, other: timedelta) -> bool: ...
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def __lt__(self, other: timedelta) -> bool: ...
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def __ge__(self, other: timedelta) -> bool: ...
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def __gt__(self, other: timedelta) -> bool: ...
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def __hash__(self) -> int: ...
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def isoformat(self) -> str: ...
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def to_numpy(
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self, dtype: npt.DTypeLike = ..., copy: bool = False
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) -> np.timedelta64: ...
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def view(self, dtype: npt.DTypeLike) -> object: ...
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@property
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def unit(self) -> str: ...
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def as_unit(self, unit: str, round_ok: bool = ...) -> Timedelta: ...
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