code: def test_estimator_html_repr_unfitted_vs_fitted():
      """Check that we have the information that the estimator is fitted or not in the
      HTML representation.
      """
  
      class MyEstimator(BaseEstimator):
          def fit(self, X, y):
              self.fitted_ = True
              return self
  
      X, y = load_iris(return_X_y=True)
      estimator = MyEstimator()
      assert "<span>Not fitted</span>" in estimator_html_repr(estimator)
      estimator.fit(X, y)
      assert "<span>Fitted</span>" in estimator_html_repr(estimator)
  
imports: import html
  import locale
  import re
  from contextlib import closing
  from io import StringIO
  from unittest.mock import patch
  import pytest
  from sklearn import config_context
  from sklearn.base import BaseEstimator
  from sklearn.cluster import AgglomerativeClustering, Birch
  from sklearn.compose import ColumnTransformer, make_column_transformer
  from sklearn.datasets import load_iris
  from sklearn.decomposition import PCA, TruncatedSVD
  from sklearn.ensemble import StackingClassifier, StackingRegressor, VotingClassifier
  from sklearn.feature_selection import SelectPercentile
  from sklearn.gaussian_process.kernels import ExpSineSquared
  from sklearn.impute import SimpleImputer
  from sklearn.kernel_ridge import KernelRidge
  from sklearn.linear_model import LogisticRegression
  from sklearn.model_selection import RandomizedSearchCV
  from sklearn.multiclass import OneVsOneClassifier
  from sklearn.neural_network import MLPClassifier
  from sklearn.pipeline import FeatureUnion, Pipeline, make_pipeline
  from sklearn.preprocessing import OneHotEncoder, StandardScaler
  from sklearn.svm import LinearSVC, LinearSVR
  from sklearn.tree import DecisionTreeClassifier
  from sklearn.utils._estimator_html_repr import _get_css_style, _get_visual_block, _HTMLDocumentationLinkMixin, _write_label_html, estimator_html_repr
  from sklearn.utils.fixes import parse_version
label_desc: Use image node_id 19 for calling a global function with example usage: test_estimator_html_repr_unfitted_vs_fitted() and returns: self