64 lines
1.5 KiB
Python
64 lines
1.5 KiB
Python
# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from __future__ import annotations
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import random
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import unittest
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from test_case_base import TestCaseBase
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import paddle
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from paddle.jit.sot import symbolic_translate
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def fn_randint(x):
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x = x + 1
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x = x + random.randint(0, 100)
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x = x + 2
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return x
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def fn_random(x):
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x = x + 3
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x = x + random.random()
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x = x + 4
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return x
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class TestRandom(TestCaseBase):
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def test_random_randint(self):
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x = paddle.to_tensor(2024)
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random.seed(2025)
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sym_output = symbolic_translate(fn_randint)(x)
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random.seed(2025)
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paddle_output = fn_randint(x)
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self.assertEqual(sym_output, paddle_output)
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def test_random_random(self):
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x = paddle.to_tensor(2025)
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random.seed(2025)
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sym_output = symbolic_translate(fn_random)(x)
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random.seed(2025)
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paddle_output = fn_random(x)
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self.assertEqual(sym_output, paddle_output)
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if __name__ == "__main__":
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unittest.main()
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