Australian Postcodes MCP Server

# SPDX-License-Identifier: MIT # Copyright (C) 2022 Max Bachmann from __future__ import annotations from collections.abc import Hashable, Sequence from typing import Callable, TypeVar, overload _UnprocessedType1 = TypeVar("_UnprocessedType1") _UnprocessedType2 = TypeVar("_UnprocessedType2") @overload def distance( s1: Sequence[Hashable], s2: Sequence[Hashable], *, processor: None = None, score_cutoff: int | None = None, ) -> int: ... @overload def distance( s1: _UnprocessedType1, s2: _UnprocessedType2, *, processor: Callable[[_UnprocessedType1 | _UnprocessedType2], Sequence[Hashable]], score_cutoff: int | None = None, ) -> int: ... @overload def normalized_distance( s1: Sequence[Hashable], s2: Sequence[Hashable], *, processor: None = None, score_cutoff: float | None = 0, ) -> float: ... @overload def normalized_distance( s1: _UnprocessedType1, s2: _UnprocessedType2, *, processor: Callable[[_UnprocessedType1 | _UnprocessedType2], Sequence[Hashable]], score_cutoff: float | None = 0, ) -> float: ... @overload def similarity( s1: Sequence[Hashable], s2: Sequence[Hashable], *, processor: None = None, score_cutoff: int | None = None, ) -> int: ... @overload def similarity( s1: _UnprocessedType1, s2: _UnprocessedType2, *, processor: Callable[[_UnprocessedType1 | _UnprocessedType2], Sequence[Hashable]], score_cutoff: int | None = None, ) -> int: ... @overload def normalized_similarity( s1: Sequence[Hashable], s2: Sequence[Hashable], *, processor: None = None, score_cutoff: float | None = 0, ) -> float: ... @overload def normalized_similarity( s1: _UnprocessedType1, s2: _UnprocessedType2, *, processor: Callable[[_UnprocessedType1 | _UnprocessedType2], Sequence[Hashable]], score_cutoff: float | None = 0, ) -> float: ...