chore: import upstream snapshot with attribution
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# Copyright (c) 2020 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 types
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import unittest
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from dygraph_to_static_utils import Dy2StTestBase
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from paddle.jit.dy2static.transformers.utils import index_in_list
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from paddle.jit.dy2static.utils import is_paddle_func
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class TestIndexInList(Dy2StTestBase):
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def test_index_in_list(self):
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list_to_test = [1, 2, 3, 4, 5]
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self.assertEqual(index_in_list(list_to_test, 4), 3)
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self.assertEqual(index_in_list(list_to_test, 1), 0)
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self.assertEqual(index_in_list(list_to_test, 5), 4)
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self.assertEqual(index_in_list(list_to_test, 0), -1)
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self.assertEqual(index_in_list(list_to_test, 6), -1)
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def dyfunc_assign(input):
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a = b = 1
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c, d = e, f = a, b
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z = [3, 4]
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[x, y] = m, n = z
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class StaticCode:
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def dyfunc_assign(input):
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b = 1
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a = b
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e = a
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f = b
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c = e
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d = f
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z = [3, 4]
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m, n = z
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x = m
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y = n
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class TestIsPaddle(Dy2StTestBase):
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def fake_module(self):
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return types.ModuleType('paddlenlp')
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def test_func(self):
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m = self.fake_module()
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self.assertFalse(is_paddle_func(m))
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if __name__ == '__main__':
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unittest.main()
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