chore: import upstream snapshot with attribution

examples/flows/evaluation/eval-chat-math-maf/workflow.py

@@ -0,0 +1,51 @@
+from dataclasses import dataclass
+from typing_extensions import Never
+from agent_framework import Executor, WorkflowBuilder, WorkflowContext, handler
+
+
+def string_to_number(raw_string: str) -> float:
+    float_number = 0.0
+    try:
+        float_number = float(raw_string)
+    except Exception:
+        if '/' in raw_string:
+            split_list = raw_string.split('/')
+            if len(split_list) == 2:
+                numerator, denominator = split_list
+                try:
+                    float_number = float(numerator) / float(denominator)
+                except Exception:
+                    return None
+            else:
+                return None
+        else:
+            return None
+    return float_number
+
+
+@dataclass
+class EvalInput:
+    groundtruth: str
+    prediction: str
+
+
+class LineProcessExecutor(Executor):
+    @handler
+    async def process(self, input: EvalInput, ctx: WorkflowContext[Never, int]) -> None:
+        pred_float = string_to_number(input.prediction)
+        if pred_float is None:
+            await ctx.yield_output(-1)
+            return
+        gt_float = string_to_number(input.groundtruth)
+        if gt_float is None:
+            await ctx.yield_output(-1)
+            return
+        if round(pred_float, 10) == round(gt_float, 10):
+            await ctx.yield_output(1)
+        else:
+            await ctx.yield_output(-1)
+
+
+def create_workflow():
+    _line_process = LineProcessExecutor(id="line_process")
+    return WorkflowBuilder(name="EvalChatMathRow", start_executor=_line_process).build()