# 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 MatMulInteger(Base):
    @staticmethod
    def export() -> None:
        node = onnx.helper.make_node(
            "MatMulInteger",
            inputs=["A", "B", "a_zero_point", "b_zero_point"],
            outputs=["Y"],
        )

        A = np.array(
            [
                [11, 7, 3],
                [10, 6, 2],
                [9, 5, 1],
                [8, 4, 0],
            ],
            dtype=np.uint8,
        )

        a_zero_point = np.array([12], dtype=np.uint8)

        B = np.array(
            [
                [1, 4],
                [2, 5],
                [3, 6],
            ],
            dtype=np.uint8,
        )

        b_zero_point = np.array([0], dtype=np.uint8)

        output = np.array(
            [
                [-38, -83],
                [-44, -98],
                [-50, -113],
                [-56, -128],
            ],
            dtype=np.int32,
        )

        expect(
            node,
            inputs=[A, B, a_zero_point, b_zero_point],
            outputs=[output],
            name="test_matmulinteger",
        )