code: def test_write_label_html(checked):
      # Test checking logic and labeling
      name = "LogisticRegression"
      tool_tip = "hello-world"
  
      with closing(StringIO()) as out:
          _write_label_html(out, name, tool_tip, checked=checked)
          html_label = out.getvalue()
  
          p = (
              r'<label for="sk-estimator-id-[0-9]*"'
              r' class="sk-toggleable__label (fitted)? sk-toggleable__label-arrow ">'
              r"LogisticRegression"
          )
          re_compiled = re.compile(p)
          assert re_compiled.search(html_label)
  
          assert html_label.startswith(
              '<div class="sk-label-container">'
          )
          assert "<pre>hello-world</pre>" in html_label
          if checked:
              assert "checked>" in html_label
  
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 1 for calling a global function with example usage: test_write_label_html(checked) without return types