# 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,
        )
