code: def test_calibration(self):
      buckets = 10
      conf_list = [
          0.84,
          0.98,
          0.97,
          0.76,
          0.59,
          0.62,
          0.40,
          0.33,
          0.54,
          0.37,
      ]
      true_list = [1, 5, 3, 2, 4, 2, 7, 4, 5, 2]
      pred_list = [1, 5, 3, 5, 2, 1, 7, 4, 5, 3]
  
      bucket_values, bucket_indices = get_bucket_scores(
          conf_list, buckets
      )
      bucket_confidence = get_bucket_confidence(bucket_values)
      bucket_accuracy = get_bucket_accuracy(
          bucket_indices, true_list, pred_list
      )
      expected_error, max_error, total_error = calculate_error(
          len(conf_list),
          bucket_values,
          bucket_confidence,
          bucket_accuracy,
      )
  
      self.assertEqual(
          bucket_values,
          [
              [],
              [],
              [],
              [0.33, 0.37],
              [0.4],
              [0.59, 0.54],
              [0.62],
              [0.76],
              [0.84],
              [0.98, 0.97],
          ],
      )
      self.assertEqual(
          bucket_indices,
          [[], [], [], [7, 9], [6], [4, 8], [5], [3], [0], [1, 2]],
      )
      self.assertEqual(
          bucket_confidence,
          [-1.0, -1.0, -1.0, 0.35, 0.4, 0.565, 0.62, 0.76, 0.84, 0.975],
      )
      self.assertEqual(
          bucket_accuracy,
          [-1.0, -1.0, -1.0, 0.5, 1.0, 0.5, 0.0, 0.0, 1.0, 1.0],
      )
      self.assertAlmostEqual(expected_error, 26.2)
      self.assertAlmostEqual(max_error, 76.0)
      self.assertAlmostEqual(total_error, 238.0)
  
imports: import unittest
  from pytext.metrics.calibration_metrics import calculate_error, get_bucket_accuracy, get_bucket_confidence, get_bucket_scores
label_desc: Use image node_id 1 for calling the CalibrationUtilsTest obj's underlying member method code with example usage: obj.test_calibration() without return types