wehub-resource-sync
65 lines
1.7 KiB
Python
65 lines
1.7 KiB
Python
# 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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# FORMAT_VALUE (new)
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# BUILD_STRING (new)
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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 assert_true
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def foo(x: paddle.Tensor):
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whilespace = 123
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hello_world = f"Hello {whilespace} World"
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z = assert_true(hello_world == "Hello 123 World")
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x = x + 1
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return x
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def fstring_with_convert_test(x: paddle.Tensor):
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obj = 42
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formatted_string = f"{obj!r}"
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z = assert_true(formatted_string == "42")
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x = x + 1
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return x
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def fstring_with_spec(x: paddle.Tensor):
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int_num = 42
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float_num = 3.1415
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formatted_string = f"{int_num} and {float_num:.2f}"
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z = assert_true(formatted_string == "42 and 3.14")
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x = x + 1
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return x
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class TestFString(TestCaseBase):
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def test_f_string(self):
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self.assert_results(foo, paddle.to_tensor(1))
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def test_f_string_with_spec(self):
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self.assert_results(fstring_with_spec, paddle.to_tensor(1))
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def test_f_string_with_convert_test(self):
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self.assert_results(fstring_with_convert_test, paddle.to_tensor(1))
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if __name__ == "__main__":
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unittest.main()
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