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# Copyright (c) ONNX Project Contributors
#
# SPDX-License-Identifier: Apache-2.0
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")
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