code: def test_standard_input(self):
      y_true = np.random.randn(100, 2, 2)
      y_pred = np.random.randn(100, 2, 2)
  
      with pytest.raises(RuntimeError):
          Evaluator.evaluate(
              "test_smape", y_true, y_pred, aggregate=None
          )
      with pytest.raises(RuntimeError):
          Evaluator.evaluate("mse", y_true, y_pred.reshape(100, 4))
      y_true = [10, 2, 5]
      with pytest.raises(RuntimeError):
          Evaluator.evaluate("mse", y_true, y_true)
  
file_path: BigDL/python/chronos/test/bigdl/chronos/metric/test_forecast_metrics.py
imports: import numpy
  import pytest
  import time
  from unittest import TestCase
  from numpy.testing import assert_almost_equal
  from numpy.testing import assert_array_almost_equal
  from bigdl.chronos.metric.forecast_metrics import Evaluator
  from ..None import op_torch, op_tf2, op_distributed, op_diff_set_all
label_desc: Use image node_id 5 for calling the TestChronosForecastMetrics obj's underlying member method code with example usage: obj.test_standard_input() without return types