code: def eval_fn(predictions):
      scores = [
          int(is_valid_python_code(prediction))
          for prediction in predictions
      ]
      return MetricValue(
          scores=scores,
          aggregate_results=standard_aggregations(scores),
      )
  
imports: import os
  import openai
  import pandas
  import mlflow
  from mlflow.metrics import make_metric
  from mlflow.metrics.base import MetricValue, standard_aggregations
label_desc: Use image node_id 2 for calling a global function with example usage: eval_fn(predictions) and returns: MetricValue