Skip to main content
Glama
jezweb

Australian Postcodes MCP Server

fuzz.pyi4.81 kB
# SPDX-License-Identifier: MIT # Copyright (C) 2021 Max Bachmann from __future__ import annotations from collections.abc import Hashable, Sequence from typing import Callable, TypeVar, overload from rapidfuzz.distance import ScoreAlignment _UnprocessedType1 = TypeVar("_UnprocessedType1") _UnprocessedType2 = TypeVar("_UnprocessedType2") @overload def ratio( s1: Sequence[Hashable], s2: Sequence[Hashable], *, processor: None = None, score_cutoff: float | None = 0, ) -> float: ... @overload def ratio( s1: _UnprocessedType1, s2: _UnprocessedType2, *, processor: Callable[[_UnprocessedType1 | _UnprocessedType2], Sequence[Hashable]], score_cutoff: float | None = 0, ) -> float: ... @overload def partial_ratio( s1: Sequence[Hashable], s2: Sequence[Hashable], *, processor: None = None, score_cutoff: float | None = 0, ) -> float: ... @overload def partial_ratio( s1: _UnprocessedType1, s2: _UnprocessedType2, *, processor: Callable[[_UnprocessedType1 | _UnprocessedType2], Sequence[Hashable]], score_cutoff: float | None = 0, ) -> float: ... @overload def partial_ratio_alignment( s1: Sequence[Hashable], s2: Sequence[Hashable], *, processor: None = None, score_cutoff: float | None = 0, ) -> ScoreAlignment | None: ... @overload def partial_ratio_alignment( s1: _UnprocessedType1, s2: _UnprocessedType2, *, processor: Callable[[_UnprocessedType1 | _UnprocessedType2], Sequence[Hashable]], score_cutoff: float | None = 0, ) -> ScoreAlignment | None: ... @overload def token_sort_ratio( s1: Sequence[Hashable], s2: Sequence[Hashable], *, processor: None = None, score_cutoff: float | None = 0, ) -> float: ... @overload def token_sort_ratio( s1: _UnprocessedType1, s2: _UnprocessedType2, *, processor: Callable[[_UnprocessedType1 | _UnprocessedType2], Sequence[Hashable]], score_cutoff: float | None = 0, ) -> float: ... @overload def token_set_ratio( s1: Sequence[Hashable], s2: Sequence[Hashable], *, processor: None = None, score_cutoff: float | None = 0, ) -> float: ... @overload def token_set_ratio( s1: _UnprocessedType1, s2: _UnprocessedType2, *, processor: Callable[[_UnprocessedType1 | _UnprocessedType2], Sequence[Hashable]], score_cutoff: float | None = 0, ) -> float: ... @overload def token_ratio( s1: Sequence[Hashable], s2: Sequence[Hashable], *, processor: None = None, score_cutoff: float | None = 0, ) -> float: ... @overload def token_ratio( s1: _UnprocessedType1, s2: _UnprocessedType2, *, processor: Callable[[_UnprocessedType1 | _UnprocessedType2], Sequence[Hashable]], score_cutoff: float | None = 0, ) -> float: ... @overload def partial_token_sort_ratio( s1: Sequence[Hashable], s2: Sequence[Hashable], *, processor: None = None, score_cutoff: float | None = 0, ) -> float: ... @overload def partial_token_sort_ratio( s1: _UnprocessedType1, s2: _UnprocessedType2, *, processor: Callable[[_UnprocessedType1 | _UnprocessedType2], Sequence[Hashable]], score_cutoff: float | None = 0, ) -> float: ... @overload def partial_token_set_ratio( s1: Sequence[Hashable], s2: Sequence[Hashable], *, processor: None = None, score_cutoff: float | None = 0, ) -> float: ... @overload def partial_token_set_ratio( s1: _UnprocessedType1, s2: _UnprocessedType2, *, processor: Callable[[_UnprocessedType1 | _UnprocessedType2], Sequence[Hashable]], score_cutoff: float | None = 0, ) -> float: ... @overload def partial_token_ratio( s1: Sequence[Hashable], s2: Sequence[Hashable], *, processor: None = None, score_cutoff: float | None = 0, ) -> float: ... @overload def partial_token_ratio( s1: _UnprocessedType1, s2: _UnprocessedType2, *, processor: Callable[[_UnprocessedType1 | _UnprocessedType2], Sequence[Hashable]], score_cutoff: float | None = 0, ) -> float: ... @overload def WRatio( s1: Sequence[Hashable], s2: Sequence[Hashable], *, processor: None = None, score_cutoff: float | None = 0, ) -> float: ... @overload def WRatio( s1: _UnprocessedType1, s2: _UnprocessedType2, *, processor: Callable[[_UnprocessedType1 | _UnprocessedType2], Sequence[Hashable]], score_cutoff: float | None = 0, ) -> float: ... @overload def QRatio( s1: Sequence[Hashable], s2: Sequence[Hashable], *, processor: None = None, score_cutoff: float | None = 0, ) -> float: ... @overload def QRatio( s1: _UnprocessedType1, s2: _UnprocessedType2, *, processor: Callable[[_UnprocessedType1 | _UnprocessedType2], Sequence[Hashable]], score_cutoff: float | None = 0, ) -> float: ...

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/jezweb/australian-postcodes-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server