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