chore: import upstream snapshot with attribution

examples/flows/evaluation/eval-accuracy-maths-to-code/line_process.py

@@ -0,0 +1,40 @@
+from promptflow.core import tool
+
+
+@tool
+def line_process(groundtruth: str, prediction: str) -> int:
+
+    processed_result = 0
+
+    if prediction == "JSONDecodeError" or prediction.startswith("Unknown Error:"):
+        processed_result = -1
+        return processed_result
+
+    try:
+        groundtruth = float(groundtruth)
+        prediction = float(prediction)
+    except ValueError:
+        processed_result = -1
+        return processed_result
+
+    if round(prediction, 2) == round(groundtruth, 2):
+        processed_result = 1
+
+    return processed_result
+
+
+if __name__ == "__main__":
+    processed_result = line_process("1.0", "1")
+    print("The processed result is", processed_result)
+
+    processed_result = line_process("3.14", "3.1415926")
+    print("The processed result is", processed_result)
+
+    processed_result = line_process("2.1", "2.0")
+    print("The processed result is", processed_result)
+
+    processed_result = line_process("1.0", "JSONDecodeError")
+    print("The processed result is", processed_result)
+
+    processed_result = line_process("1.0", "No module named 'numpy'")
+    print("The processed result is", processed_result)