code: def test_partial_fit_weight_class_balanced():
      # partial_fit with class_weight='balanced' not supported
      clf = PassiveAggressiveClassifier(
          class_weight="balanced", max_iter=100
      )
      with pytest.raises(ValueError):
          clf.partial_fit(X, y, classes=np.unique(y))
  
imports: import numpy
  import pytest
  from sklearn.base import ClassifierMixin
  from sklearn.datasets import load_iris
  from sklearn.linear_model import PassiveAggressiveClassifier, PassiveAggressiveRegressor
  from sklearn.utils import check_random_state
  from sklearn.utils._testing import assert_almost_equal, assert_array_almost_equal, assert_array_equal
  from sklearn.utils.fixes import CSR_CONTAINERS
label_desc: Use image node_id 7 for calling a global function with example usage: test_partial_fit_weight_class_balanced() without return types