Australian Postcodes MCP Server

import numpy as np from pandas._typing import npt def inner_join( left: np.ndarray, # const intp_t[:] right: np.ndarray, # const intp_t[:] max_groups: int, sort: bool = ..., ) -> tuple[npt.NDArray[np.intp], npt.NDArray[np.intp]]: ... def left_outer_join( left: np.ndarray, # const intp_t[:] right: np.ndarray, # const intp_t[:] max_groups: int, sort: bool = ..., ) -> tuple[npt.NDArray[np.intp], npt.NDArray[np.intp]]: ... def full_outer_join( left: np.ndarray, # const intp_t[:] right: np.ndarray, # const intp_t[:] max_groups: int, ) -> tuple[npt.NDArray[np.intp], npt.NDArray[np.intp]]: ... def ffill_indexer( indexer: np.ndarray, # const intp_t[:] ) -> npt.NDArray[np.intp]: ... def left_join_indexer_unique( left: np.ndarray, # ndarray[join_t] right: np.ndarray, # ndarray[join_t] ) -> npt.NDArray[np.intp]: ... def left_join_indexer( left: np.ndarray, # ndarray[join_t] right: np.ndarray, # ndarray[join_t] ) -> tuple[ np.ndarray, # np.ndarray[join_t] npt.NDArray[np.intp], npt.NDArray[np.intp], ]: ... def inner_join_indexer( left: np.ndarray, # ndarray[join_t] right: np.ndarray, # ndarray[join_t] ) -> tuple[ np.ndarray, # np.ndarray[join_t] npt.NDArray[np.intp], npt.NDArray[np.intp], ]: ... def outer_join_indexer( left: np.ndarray, # ndarray[join_t] right: np.ndarray, # ndarray[join_t] ) -> tuple[ np.ndarray, # np.ndarray[join_t] npt.NDArray[np.intp], npt.NDArray[np.intp], ]: ... def asof_join_backward_on_X_by_Y( left_values: np.ndarray, # ndarray[numeric_t] right_values: np.ndarray, # ndarray[numeric_t] left_by_values: np.ndarray, # const int64_t[:] right_by_values: np.ndarray, # const int64_t[:] allow_exact_matches: bool = ..., tolerance: np.number | float | None = ..., use_hashtable: bool = ..., ) -> tuple[npt.NDArray[np.intp], npt.NDArray[np.intp]]: ... def asof_join_forward_on_X_by_Y( left_values: np.ndarray, # ndarray[numeric_t] right_values: np.ndarray, # ndarray[numeric_t] left_by_values: np.ndarray, # const int64_t[:] right_by_values: np.ndarray, # const int64_t[:] allow_exact_matches: bool = ..., tolerance: np.number | float | None = ..., use_hashtable: bool = ..., ) -> tuple[npt.NDArray[np.intp], npt.NDArray[np.intp]]: ... def asof_join_nearest_on_X_by_Y( left_values: np.ndarray, # ndarray[numeric_t] right_values: np.ndarray, # ndarray[numeric_t] left_by_values: np.ndarray, # const int64_t[:] right_by_values: np.ndarray, # const int64_t[:] allow_exact_matches: bool = ..., tolerance: np.number | float | None = ..., use_hashtable: bool = ..., ) -> tuple[npt.NDArray[np.intp], npt.NDArray[np.intp]]: ...