chore: import upstream snapshot with attribution
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# Copyright (c) 2023 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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import unittest
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from test_case_base import TestCaseBase
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import paddle
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patched = lambda self, x: x * self.a
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patched2 = lambda self, x: x * self.a + 3
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class A:
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def __init__(self, a):
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self.a = a
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def __call__(self, x):
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return self.add(x)
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def add(self, x):
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return x + self.a
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multi = patched
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class B:
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def __init__(self, a):
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self.a = A(a)
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def __call__(self, x, func):
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return getattr(self.a, func)(x)
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def self_call(self, x, func):
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return getattr(self.a, func)(self.a, x)
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def foo_1(a, x):
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return a(x)
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def foo_2(a, x):
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return a.multi(x)
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def foo_3(b, x):
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return b(x, "multi")
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def foo_4(b, x):
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return b(x, "add")
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def foo_5(b, x):
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return b.self_call(x, "multi")
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class TestCallObject(TestCaseBase):
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def test_simple(self):
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c = B(13)
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c.a.multi = patched2
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self.assert_results(foo_1, A(13), paddle.to_tensor(2))
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self.assert_results(foo_2, A(13), paddle.to_tensor(2))
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self.assert_results(foo_3, B(13), paddle.to_tensor(2))
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self.assert_results(foo_4, B(13), paddle.to_tensor(2))
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self.assert_results(foo_5, c, paddle.to_tensor(2))
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self.assert_results(foo_4, c, paddle.to_tensor(2))
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if __name__ == "__main__":
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unittest.main()
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