# Copyright (c) ONNX Project Contributors

# SPDX-License-Identifier: Apache-2.0
from __future__ import annotations

import numpy as np

from onnx.reference.op_run import OpRun


class Where(OpRun):
    def _run(self, condition, x, y):  # type: ignore
        if (
            x.dtype != y.dtype
            and x.dtype not in (object,)
            and x.dtype.type is not np.str_
            and y.dtype.type is not np.str_
        ):
            raise RuntimeError(
                f"x and y should share the same dtype {x.dtype} != {y.dtype}"
            )
        return (np.where(condition, x, y).astype(x.dtype),)