chore: import upstream snapshot with attribution

test/sot/test_09_f_string.py

@@ -0,0 +1,64 @@
+# Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# FORMAT_VALUE (new)
+# BUILD_STRING (new)
+from __future__ import annotations
+
+import unittest
+
+from test_case_base import TestCaseBase
+
+import paddle
+from paddle.jit.sot.psdb import assert_true
+
+
+def foo(x: paddle.Tensor):
+    whilespace = 123
+    hello_world = f"Hello {whilespace} World"
+    z = assert_true(hello_world == "Hello 123 World")
+    x = x + 1
+    return x
+
+
+def fstring_with_convert_test(x: paddle.Tensor):
+    obj = 42
+    formatted_string = f"{obj!r}"
+    z = assert_true(formatted_string == "42")
+    x = x + 1
+    return x
+
+
+def fstring_with_spec(x: paddle.Tensor):
+    int_num = 42
+    float_num = 3.1415
+    formatted_string = f"{int_num} and {float_num:.2f}"
+    z = assert_true(formatted_string == "42 and 3.14")
+    x = x + 1
+    return x
+
+
+class TestFString(TestCaseBase):
+    def test_f_string(self):
+        self.assert_results(foo, paddle.to_tensor(1))
+
+    def test_f_string_with_spec(self):
+        self.assert_results(fstring_with_spec, paddle.to_tensor(1))
+
+    def test_f_string_with_convert_test(self):
+        self.assert_results(fstring_with_convert_test, paddle.to_tensor(1))
+
+
+if __name__ == "__main__":
+    unittest.main()