# Copyright (c) ONNX Project Contributors
#
# SPDX-License-Identifier: Apache-2.0
from __future__ import annotations

import numpy as np

import onnx
from onnx.backend.test.case.base import Base
from onnx.backend.test.case.node import expect


class Where(Base):
    @staticmethod
    def export() -> None:
        node = onnx.helper.make_node(
            "Where",
            inputs=["condition", "x", "y"],
            outputs=["z"],
        )

        condition = np.array([[1, 0], [1, 1]], dtype=bool)
        x = np.array([[1, 2], [3, 4]], dtype=np.float32)
        y = np.array([[9, 8], [7, 6]], dtype=np.float32)
        z = np.where(condition, x, y)  # expected output [[1, 8], [3, 4]]
        expect(node, inputs=[condition, x, y], outputs=[z], name="test_where_example")

    @staticmethod
    def export_long() -> None:
        node = onnx.helper.make_node(
            "Where",
            inputs=["condition", "x", "y"],
            outputs=["z"],
        )

        condition = np.array([[1, 0], [1, 1]], dtype=bool)
        x = np.array([[1, 2], [3, 4]], dtype=np.int64)
        y = np.array([[9, 8], [7, 6]], dtype=np.int64)
        z = np.where(condition, x, y)  # expected output [[1, 8], [3, 4]]
        expect(
            node, inputs=[condition, x, y], outputs=[z], name="test_where_long_example"
        )