text: import numpy as np
  import csv
  import collections
  import sys
  import utils_lung
  import pathfinder
  
  
  # Call this method to know to leaderboard_performance
  def leaderboard_performance(submission_file_path):
      real = utils_lung.read_test_labels(pathfinder.TEST_LABELS_PATH)
      pred = parse_predictions(submission_file_path)
  
      real = collections.OrderedDict(sorted(real.iteritems()))
      pred = collections.OrderedDict(sorted(pred.iteritems()))
  
      check_validity(real, pred)
  
      return log_loss(real.values(), pred.values())
  
  
  def parse_predictions(submission_file_path):
      pred = {}
      with open(submission_file_path, 'rb') as csvfile:
          reader = csv.DictReader(csvfile, delimiter=',')
          for row in reader:
              pred[row['id']] = float(row['cancer'])
      return pred
  
  
  def check_validity(real, pred):
      if len(real) != len(pred):
          raise ValueError(
              'The amount of test set labels (={}) does not match with the amount of predictions (={})'.format(len(real),
                                                                                                               len(pred)))
  
      if len(real.viewkeys() & pred.viewkeys()) != len(real):
          raise ValueError(
              'The patients in the test set does not match with the patients in the predictions'
          )
  
      if real.viewkeys() != pred.viewkeys():
          raise ValueError(
              'The patients in the test set does not match with the patients in the predictions'
          )
  
  
  def log_loss(y_real, y_pred, eps=1e-15):
      y_pred = np.clip(y_pred, eps, 1 - eps)
      y_real = np.array(y_real)
      losses = y_real * np.log(y_pred) + (1 - y_real) * np.log(1 - y_pred)
      return - np.average(losses)
  
  
  if __name__ == '__main__':
      # if len(sys.argv) < 2:
      #     sys.exit("Usage: evaluate_submission.py <absolute path to csv")
      #
      # submission_path = sys.argv[1]
      submission_path = '/home/user/Downloads/submission_0.55555.csv'
      loss = leaderboard_performance(submission_path)
      print loss
  