Repository URL to install this package:
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        Version: 
        
         
          
          0.1.29  ▾
        
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    odigos-demo-inventory
  
    /
        
    opt
  
        /
        
    odigos-demo-inventory
  
        /
        
    site-packages
  
        /
        
    rapidfuzz
  
        /
        
    distance
  
        /
        LCSseq.pyi
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# 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
from rapidfuzz.distance import Editops, Opcodes
_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: ...
@overload
def editops(
    s1: Sequence[Hashable],
    s2: Sequence[Hashable],
    *,
    processor: None = None,
) -> Editops: ...
@overload
def editops(
    s1: _UnprocessedType1,
    s2: _UnprocessedType2,
    *,
    processor: Callable[[_UnprocessedType1 | _UnprocessedType2], Sequence[Hashable]],
) -> Editops: ...
@overload
def opcodes(
    s1: Sequence[Hashable],
    s2: Sequence[Hashable],
    *,
    processor: None = None,
) -> Opcodes: ...
@overload
def opcodes(
    s1: _UnprocessedType1,
    s2: _UnprocessedType2,
    *,
    processor: Callable[[_UnprocessedType1 | _UnprocessedType2], Sequence[Hashable]],
) -> Opcodes: ...