code: def test_provided_metrics():
      """Test if the initialization raises an error when neither the loss and the score functions are provided."""
      with pytest.raises(ValueError) as err:
          PermutationImportance(predictor=lambda x: x)
  
      assert (
          "At least one loss function or a score function must be provided."
          in str(err.value)
      )
  
imports: import re
  from copy import deepcopy
  import matplotlib.pyplot
  import numpy
  import pytest
  from pytest_lazyfixture import lazy_fixture
  from sklearn.metrics import accuracy_score, f1_score, max_error
  from alibi.api.defaults import DEFAULT_DATA_PERMUTATION_IMPORTANCE, DEFAULT_META_PERMUTATION_IMPORTANCE
  from alibi.api.interfaces import Explanation
  from alibi.explainers import PermutationImportance, plot_permutation_importance
label_desc: Use image node_id 2 for calling a global function with example usage: test_provided_metrics() without return types