chore: import upstream snapshot with attribution

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

@@ -0,0 +1,36 @@
+from dataclasses import dataclass
+from typing_extensions import Never
+from agent_framework import Executor, WorkflowBuilder, WorkflowContext, handler
+
+
+@dataclass
+class EvalInput:
+    groundtruth: str
+    prediction: str
+
+
+class LineProcessExecutor(Executor):
+    @handler
+    async def process(self, input: EvalInput, ctx: WorkflowContext[Never, int]) -> None:
+        processed_result = 0
+
+        if input.prediction == "JSONDecodeError" or input.prediction.startswith("Unknown Error:"):
+            await ctx.yield_output(-1)
+            return
+
+        try:
+            groundtruth = float(input.groundtruth)
+            prediction = float(input.prediction)
+        except ValueError:
+            await ctx.yield_output(-1)
+            return
+
+        if round(prediction, 2) == round(groundtruth, 2):
+            processed_result = 1
+
+        await ctx.yield_output(processed_result)
+
+
+def create_workflow():
+    _line_process = LineProcessExecutor(id="line_process")
+    return WorkflowBuilder(name="EvalAccuracyMathsRow", start_executor=_line_process).build()