code: def abs_error_sum(
      y_pred: npt.NDArray[np.float32], y_true: npt.NDArray[np.float32]
  ) -> float:
      return np.abs(y_pred - y_true).sum()
  
file_path: gluonts/src/gluonts/nursery/tsbench/src/tsbench/forecasts/metrics.py
imports: import math
  import numpy
  import numpy.typing
  from numpy import ma
  from .quantile import QuantileForecasts
label_desc: Use image node_id 2 for calling a global function with example usage: abs_error_sum(y_pred, y_true) and returns: np