wehub-resource-sync
105 lines
2.3 KiB
Python
105 lines
2.3 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 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.psdb import check_no_breakgraph
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class ListIterable:
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def __init__(self):
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self._list = [1, 2, 3]
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def __iter__(self):
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return iter(self._list)
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@check_no_breakgraph
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def list_iterable(x: paddle.Tensor):
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iterable = ListIterable()
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for i in iterable:
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x += i
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return x
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class TupleIterable:
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def __init__(self):
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self._tuple = (1, 2, 3)
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def __iter__(self):
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return iter(self._tuple)
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@check_no_breakgraph
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def tuple_iterable(x: paddle.Tensor):
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iterable = TupleIterable()
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for i in iterable:
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x += i
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return x
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class DictIterable:
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def __init__(self):
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self._dict = {0: 1, 1: 2, 2: 3}
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def __iter__(self):
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return iter(self._dict)
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@check_no_breakgraph
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def dict_iterable(x: paddle.Tensor):
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iterable = DictIterable()
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for i in iterable:
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x += i
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return x
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class RangeIterable:
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def __init__(self):
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pass
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def __iter__(self):
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return iter(range(5))
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@check_no_breakgraph
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def range_iterable(x: paddle.Tensor):
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iterable = RangeIterable()
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for i in iterable:
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x += i
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return x
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class TestIterable(TestCaseBase):
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def test_list_iterable(self):
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self.assert_results(list_iterable, paddle.to_tensor(0))
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def test_tuple_iterable(self):
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self.assert_results(tuple_iterable, paddle.to_tensor(0))
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def test_dict_iterable(self):
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self.assert_results(dict_iterable, paddle.to_tensor(0))
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def test_range_iterable(self):
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self.assert_results(range_iterable, paddle.to_tensor(0))
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if __name__ == "__main__":
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unittest.main()
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