Australian Postcodes MCP Server

from datetime import tzinfo import numpy as np from pandas._typing import npt def format_array_from_datetime( values: npt.NDArray[np.int64], tz: tzinfo | None = ..., format: str | None = ..., na_rep: str | float = ..., reso: int = ..., # NPY_DATETIMEUNIT ) -> npt.NDArray[np.object_]: ... def array_with_unit_to_datetime( values: npt.NDArray[np.object_], unit: str, errors: str = ..., ) -> tuple[np.ndarray, tzinfo | None]: ... def first_non_null(values: np.ndarray) -> int: ... def array_to_datetime( values: npt.NDArray[np.object_], errors: str = ..., dayfirst: bool = ..., yearfirst: bool = ..., utc: bool = ..., creso: int = ..., ) -> tuple[np.ndarray, tzinfo | None]: ... # returned ndarray may be object dtype or datetime64[ns] def array_to_datetime_with_tz( values: npt.NDArray[np.object_], tz: tzinfo, dayfirst: bool, yearfirst: bool, creso: int, ) -> npt.NDArray[np.int64]: ...