chore: import upstream snapshot with attribution

test/sot/test_force_breakgraph_api.py

@@ -0,0 +1,63 @@
+# Copyright (c) 2025 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.
+
+from __future__ import annotations
+
+import random
+import unittest
+
+from test_case_base import TestCaseBase
+
+import paddle
+from paddle.jit.sot import symbolic_translate
+
+
+def fn_randint(x):
+    x = x + 1
+    x = x + random.randint(0, 100)
+    x = x + 2
+    return x
+
+
+def fn_random(x):
+    x = x + 3
+    x = x + random.random()
+    x = x + 4
+    return x
+
+
+class TestRandom(TestCaseBase):
+    def test_random_randint(self):
+        x = paddle.to_tensor(2024)
+
+        random.seed(2025)
+        sym_output = symbolic_translate(fn_randint)(x)
+        random.seed(2025)
+        paddle_output = fn_randint(x)
+
+        self.assertEqual(sym_output, paddle_output)
+
+    def test_random_random(self):
+        x = paddle.to_tensor(2025)
+
+        random.seed(2025)
+        sym_output = symbolic_translate(fn_random)(x)
+        random.seed(2025)
+        paddle_output = fn_random(x)
+
+        self.assertEqual(sym_output, paddle_output)
+
+
+if __name__ == "__main__":
+    unittest.main()