# 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 Det(Base):
    @staticmethod
    def export_2d() -> None:
        node = onnx.helper.make_node(
            "Det",
            inputs=["x"],
            outputs=["y"],
        )

        x = np.arange(4).reshape(2, 2).astype(np.float32)
        y = np.linalg.det(x)  # expect -2
        expect(node, inputs=[x], outputs=[y], name="test_det_2d")

    @staticmethod
    def export_nd() -> None:
        node = onnx.helper.make_node(
            "Det",
            inputs=["x"],
            outputs=["y"],
        )

        x = np.array([[[1, 2], [3, 4]], [[1, 2], [2, 1]], [[1, 3], [3, 1]]]).astype(
            np.float32
        )
        y = np.linalg.det(x)  # expect array([-2., -3., -8.])
        expect(node, inputs=[x], outputs=[y], name="test_det_nd")