# 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", "normalized_distance", "normalized_similarity", "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]
                damerau_levenshtein_distance as distance,
                damerau_levenshtein_normalized_distance as normalized_distance,
                damerau_levenshtein_normalized_similarity as normalized_similarity,
                damerau_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]
                damerau_levenshtein_distance as distance,
                damerau_levenshtein_normalized_distance as normalized_distance,
                damerau_levenshtein_normalized_similarity as normalized_similarity,
                damerau_levenshtein_similarity as similarity,
            )

            imported = True

    if not imported:
        from rapidfuzz.distance.metrics_cpp import (  # pyright: ignore[reportMissingImports]
            damerau_levenshtein_distance as distance,
            damerau_levenshtein_normalized_distance as normalized_distance,
            damerau_levenshtein_normalized_similarity as normalized_similarity,
            damerau_levenshtein_similarity as similarity,
        )
elif _impl == "python":
    from rapidfuzz.distance.metrics_py import (
        damerau_levenshtein_distance as distance,
        damerau_levenshtein_normalized_distance as normalized_distance,
        damerau_levenshtein_normalized_similarity as normalized_similarity,
        damerau_levenshtein_similarity as similarity,
    )
else:
    imported = False
    if supports(AVX2):
        with contextlib.suppress(ImportError):
            from rapidfuzz.distance.metrics_cpp_avx2 import (  # pyright: ignore[reportMissingImports]
                damerau_levenshtein_distance as distance,
                damerau_levenshtein_normalized_distance as normalized_distance,
                damerau_levenshtein_normalized_similarity as normalized_similarity,
                damerau_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]
                damerau_levenshtein_distance as distance,
                damerau_levenshtein_normalized_distance as normalized_distance,
                damerau_levenshtein_normalized_similarity as normalized_similarity,
                damerau_levenshtein_similarity as similarity,
            )

            imported = True

    if not imported:
        with contextlib.suppress(ImportError):
            from rapidfuzz.distance.metrics_cpp import (  # pyright: ignore[reportMissingImports]
                damerau_levenshtein_distance as distance,
                damerau_levenshtein_normalized_distance as normalized_distance,
                damerau_levenshtein_normalized_similarity as normalized_similarity,
                damerau_levenshtein_similarity as similarity,
            )

            imported = True

    if not imported:
        from rapidfuzz.distance.metrics_py import (
            damerau_levenshtein_distance as distance,
            damerau_levenshtein_normalized_distance as normalized_distance,
            damerau_levenshtein_normalized_similarity as normalized_similarity,
            damerau_levenshtein_similarity as similarity,
        )
