# SPDX-License-Identifier: MIT
# Copyright (C) 2025 Max Bachmann
# This file is generated by tools/generate_python.py
from __future__ import annotations
import contextlib
import os
from rapidfuzz._feature_detector import AVX2, SSE2, supports
__all__ = [
"distance",
"editops",
"normalized_distance",
"normalized_similarity",
"opcodes",
"similarity",
]
_impl = os.environ.get("RAPIDFUZZ_IMPLEMENTATION")
if _impl == "cpp":
imported = False
if supports(AVX2):
with contextlib.suppress(ImportError):
from rapidfuzz.distance.metrics_cpp_avx2 import ( # pyright: ignore[reportMissingImports]
levenshtein_distance as distance,
levenshtein_editops as editops,
levenshtein_normalized_distance as normalized_distance,
levenshtein_normalized_similarity as normalized_similarity,
levenshtein_opcodes as opcodes,
levenshtein_similarity as similarity,
)
imported = True
if not imported and supports(SSE2):
with contextlib.suppress(ImportError):
from rapidfuzz.distance.metrics_cpp_sse2 import ( # pyright: ignore[reportMissingImports]
levenshtein_distance as distance,
levenshtein_editops as editops,
levenshtein_normalized_distance as normalized_distance,
levenshtein_normalized_similarity as normalized_similarity,
levenshtein_opcodes as opcodes,
levenshtein_similarity as similarity,
)
imported = True
if not imported:
from rapidfuzz.distance.metrics_cpp import ( # pyright: ignore[reportMissingImports]
levenshtein_distance as distance,
levenshtein_editops as editops,
levenshtein_normalized_distance as normalized_distance,
levenshtein_normalized_similarity as normalized_similarity,
levenshtein_opcodes as opcodes,
levenshtein_similarity as similarity,
)
elif _impl == "python":
from rapidfuzz.distance.metrics_py import (
levenshtein_distance as distance,
levenshtein_editops as editops,
levenshtein_normalized_distance as normalized_distance,
levenshtein_normalized_similarity as normalized_similarity,
levenshtein_opcodes as opcodes,
levenshtein_similarity as similarity,
)
else:
imported = False
if supports(AVX2):
with contextlib.suppress(ImportError):
from rapidfuzz.distance.metrics_cpp_avx2 import ( # pyright: ignore[reportMissingImports]
levenshtein_distance as distance,
levenshtein_editops as editops,
levenshtein_normalized_distance as normalized_distance,
levenshtein_normalized_similarity as normalized_similarity,
levenshtein_opcodes as opcodes,
levenshtein_similarity as similarity,
)
imported = True
if not imported and supports(SSE2):
with contextlib.suppress(ImportError):
from rapidfuzz.distance.metrics_cpp_sse2 import ( # pyright: ignore[reportMissingImports]
levenshtein_distance as distance,
levenshtein_editops as editops,
levenshtein_normalized_distance as normalized_distance,
levenshtein_normalized_similarity as normalized_similarity,
levenshtein_opcodes as opcodes,
levenshtein_similarity as similarity,
)
imported = True
if not imported:
with contextlib.suppress(ImportError):
from rapidfuzz.distance.metrics_cpp import ( # pyright: ignore[reportMissingImports]
levenshtein_distance as distance,
levenshtein_editops as editops,
levenshtein_normalized_distance as normalized_distance,
levenshtein_normalized_similarity as normalized_similarity,
levenshtein_opcodes as opcodes,
levenshtein_similarity as similarity,
)
imported = True
if not imported:
from rapidfuzz.distance.metrics_py import (
levenshtein_distance as distance,
levenshtein_editops as editops,
levenshtein_normalized_distance as normalized_distance,
levenshtein_normalized_similarity as normalized_similarity,
levenshtein_opcodes as opcodes,
levenshtein_similarity as similarity,
)