code: def test_infer_problem_type_big_integer_data_regression(self):
      big_integer_regression_series = pd.Series(
          np.repeat(np.arange(MULTICLASS_UPPER_LIMIT + 1), 2),
          dtype=np.int64,
      )
      inferred_problem_type = infer_problem_type(
          big_integer_regression_series
      )
      assert inferred_problem_type == REGRESSION
  
imports: import unittest
  import numpy
  import pandas
  import pytest
  from autogluon.core.constants import BINARY, MULTICLASS, MULTICLASS_UPPER_LIMIT, REGRESSION
  from autogluon.core.utils import infer_problem_type
  from autogluon.core.utils.utils import generate_train_test_split
label_desc: Use image node_id 14 for calling the TestInferProblemType obj's underlying member method code with example usage: obj.test_infer_problem_type_big_integer_data_regression() without return types