code: def accuracy_cost_function(input_data, ground_truth):
      """Summary
  
      Parameters
      ----------
      input_data, ground_truth : NumPy
          Arrays to be compared.
  
      Returns
      -------
      TYPE
          Description
      """
  
      return np.sum(input_data == ground_truth)
  
file_path: DeepNeuro/deepneuro/postprocessing/statistics.py
imports: import csv
  import numpy
  from skimage.measure import label
  from deepneuro.postprocessing.postprocessor import Postprocessor
  from deepneuro.utilities.util import add_parameter
label_desc: Use image node_id 2 for calling a global function with example usage: accuracy_cost_function(input_data, ground_truth) and returns: np