code: def test_reproduce_fit(self):
      metric = Metric({"name": "logloss"})
      prev_loss = None
      for _ in range(2):
          model = CatBoostAlgorithm(self.params)
          model.fit(self.X, self.y)
          y_predicted = model.predict(self.X)
          loss = metric(self.y, y_predicted)
          if prev_loss is not None:
              assert_almost_equal(prev_loss, loss, decimal=3)
          prev_loss = loss
  
imports: import unittest
  import tempfile
  import json
  import copy
  import numpy
  import pandas
  import os
  from numpy.testing import assert_almost_equal
  from sklearn import datasets
  from supervised.algorithms.catboost import CatBoostAlgorithm, additional
  from supervised.utils.metric import Metric
  import tempfile
label_desc: Use image node_id 2 for calling the CatBoostAlgorithmTest obj's underlying member method code with example usage: obj.test_reproduce_fit() without return types