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

        x = np.array([10, np.e, 1]).astype(np.float32)
        y = np.arccosh(x)  # expected output [2.99322295,  1.65745449,  0.]
        expect(node, inputs=[x], outputs=[y], name="test_acosh_example")

        x = np.random.uniform(1.0, 10.0, (3, 4, 5)).astype(np.float32)
        y = np.arccosh(x)
        expect(node, inputs=[x], outputs=[y], name="test_acosh")
