chore: import upstream snapshot with attribution
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# 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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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 import sot
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class TestArrayWrite(TestCaseBase):
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def test_array_write(self):
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def call_array_api():
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arr = paddle.tensor.create_array(dtype="float32")
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x = paddle.full(shape=[1, 3], fill_value=5, dtype="float32")
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i = paddle.zeros(shape=[1], dtype="int32")
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# The `breakgraph` here is used to document that the `create_array` function has a dynamic-static inconsistency issue.
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# In SOT, it cannot be directly handled as a PaddleApiVariable; instead, it requires internal function simulation for execution.
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# Thus, a manual breakpoint is marked to flag this issue.
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sot.psdb.breakgraph()
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# The presence of the `item` method within `array_write` / `array_read` can cause breakgraph.
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arr = paddle.tensor.array_write(x, i, array=arr)
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item = paddle.tensor.array_read(arr, i)
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return item
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self.assert_results(call_array_api)
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if __name__ == "__main__":
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unittest.main()
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