# Copyright (c) ONNX Project Contributors

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

import numpy as np

from onnx.reference.ops._op import OpRunBinaryNumpy


class Div(OpRunBinaryNumpy):
    def __init__(self, onnx_node, run_params):
        def func(x, y):
            if issubclass(x.dtype.type, np.integer):
                assert issubclass(y.dtype.type, np.integer)
                return x // y
            return np.divide(x, y)

        OpRunBinaryNumpy.__init__(self, func, onnx_node, run_params)

    def _run(self, a, b):
        res = OpRunBinaryNumpy._run(self, a, b)
        if res[0].dtype != a.dtype:
            return (res[0].astype(a.dtype),)
        return res