chore: import upstream snapshot with attribution

examples/flows/standard/gen-docstring/main.py

@@ -0,0 +1,18 @@
+import argparse
+from file import File
+from diff import show_diff
+from load_code_tool import load_code
+from promptflow.client import PFClient
+from pathlib import Path
+
+
+if __name__ == "__main__":
+    current_folder = Path(__file__).absolute().parent
+    parser = argparse.ArgumentParser(description="The code path of code that need to generate docstring.")
+    parser.add_argument("--source", help="Path for the code file", default=str(current_folder / 'azure_open_ai.py'))
+    args = parser.parse_args()
+
+    pf = PFClient()
+    source = args.source
+    flow_result = pf.test(flow=str(current_folder), inputs={"source": source})
+    show_diff(load_code(source), flow_result['code'], File(source).filename)