code: def scaled_interval_score(
      data: Dict[str, np.ndarray], alpha: float
  ) -> np.ndarray:
      lower_quantile = data[str(alpha / 2)]
      upper_quantile = data[str(1.0 - alpha / 2)]
      label = data["label"]
  
      numerator = (
          upper_quantile
          - lower_quantile
          + 2.0
          / alpha
          * (lower_quantile - label)
          * (label < lower_quantile)
          + 2.0
          / alpha
          * (label - upper_quantile)
          * (label > upper_quantile)
      )
  
      return numerator / data["seasonal_error"]
  
file_path: gluonts/src/gluonts/ev/stats.py
imports: from typing import Dict
  import numpy
label_desc: Use image node_id 10 for calling a global function with example usage: scaled_interval_score(data, alpha) and returns: unknown