chore: import upstream snapshot with attribution

examples/flows/evaluation/eval-classification-accuracy-maf/test_eval.py

@@ -0,0 +1,65 @@
+import asyncio
+import json
+from pathlib import Path
+from aggregation import aggregate
+from eval_runner import EvalRunner
+from workflow import EvalInput, create_workflow
+
+
+async def test_correct():
+    wf = create_workflow()
+    result = await wf.run(EvalInput(groundtruth="APP", prediction="APP"))
+    assert result.get_outputs()[0] == "Correct"
+    print("PASS: test_correct")
+
+
+async def test_incorrect():
+    wf = create_workflow()
+    result = await wf.run(EvalInput(groundtruth="APP", prediction="WEB"))
+    assert result.get_outputs()[0] == "Incorrect"
+    print("PASS: test_incorrect")
+
+
+async def test_batch():
+    dataset = [
+        EvalInput(groundtruth="APP", prediction="APP"),
+        EvalInput(groundtruth="Channel", prediction="Channel"),
+        EvalInput(groundtruth="Academic", prediction="Finance"),
+    ]
+    runner = EvalRunner(
+        workflow_factory=create_workflow,
+        aggregate_fn=aggregate,
+        concurrency=5,
+        input_mapping={"values": "grades"},
+    )
+    result = await runner.run(dataset)
+    assert result.metrics["accuracy"] == 0.67
+    print("PASS: test_batch")
+
+
+async def test_data_jsonl():
+    """Run eval on every row in data.jsonl"""
+    data_path = Path(__file__).parent / "data.jsonl"
+    rows = [json.loads(line) for line in data_path.read_text(encoding="utf-8").splitlines() if line.strip()]
+    wf = create_workflow()
+    for i, row in enumerate(rows):
+        result = await wf.run(EvalInput(
+            groundtruth=row["groundtruth"],
+            prediction=row["prediction"],
+        ))
+        grade = result.get_outputs()[0]
+        assert grade in ("Correct", "Incorrect"), f"Row {i}: unexpected grade '{grade}'"
+        print(f"  Row {i}: grade={grade}")
+    print(f"PASS: test_data_jsonl ({len(rows)} rows)")
+
+
+async def main():
+    await test_correct()
+    await test_incorrect()
+    await test_batch()
+    await test_data_jsonl()
+    print("\nAll tests passed!")
+
+
+if __name__ == "__main__":
+    asyncio.run(main())