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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# MAKE_FUNCTION
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# CALL_FUNCTION_KW
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from __future__ import annotations
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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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def make_fn_simple(x: paddle.Tensor):
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def fn(a, b, c, d):
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return a + b + c + d
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return fn(1, 2, 3, 4) + x
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def make_fn_default(x: paddle.Tensor):
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def fn(a, b, c=5, d=3):
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return a + b + c + d
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return fn(1, 2) + fn(1, 2, c=3) + x
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def make_fn_annotation(x: paddle.Tensor):
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def fn(a, b: int, c: int, d):
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return a + b + c + d
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return fn(1, 2, 3, 4) + x
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def make_fn_kwdefault(x: paddle.Tensor):
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def fn(a, b, *, c=3, d=4):
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return a + b + c + d
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return fn(1, 2) + fn(3, 4, c=1, d=2) + x
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def make_fn_closure(x: paddle.Tensor):
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def fn(a, b, c, d):
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y = x
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return a + b + c + d
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return fn(1, 2, 3, 4) + x
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def make_fn_mix(x: paddle.Tensor):
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def fn(a: int = 1, b: float = 2.0, /, *, c: int = 4, d: float = 5):
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# y = x
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return a + b + c + d
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return fn(2, 3, c=1, d=2.0) + x
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def make_fn_tensor_default(x: paddle.Tensor):
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tensor = paddle.to_tensor(1.0)
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def fn(a, b, c=tensor):
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return a + b + c
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return fn(1, 2) + x
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def make_fn_tensor_kwdefault(x: paddle.Tensor):
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tensor = paddle.to_tensor(1.0)
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def fn(*args, c=tensor):
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return args[0] + args[1] + c
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return fn(1, 2, c=3) + x
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class TestMakeFunction(TestCaseBase):
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def test_simple(self):
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self.assert_results(make_fn_simple, paddle.to_tensor(1))
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self.assert_results(make_fn_default, paddle.to_tensor(1))
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self.assert_results(make_fn_annotation, paddle.to_tensor(1))
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self.assert_results(make_fn_kwdefault, paddle.to_tensor(1))
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self.assert_results(make_fn_closure, paddle.to_tensor(1))
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self.assert_results(make_fn_mix, paddle.to_tensor(1))
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def test_tensor_default(self):
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self.assert_results(make_fn_tensor_default, paddle.to_tensor(1))
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self.assert_results(make_fn_tensor_kwdefault, paddle.to_tensor(1))
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if __name__ == "__main__":
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unittest.main()
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