code: def test_LabelInsightsVisualization():
      state = AnalysisState(
          {
              "label_insights": {
                  "low_cardinality_classes": {
                      "instances": {"A": 10, "B": 20},
                      "threshold": 50,
                  },
                  "not_present_in_train": [1, "2", True],
                  "ood": {
                      "count": 100,
                      "train_range": [10, 100],
                      "test_range": [10, 50],
                  },
              }
          }
      )
      viz = LabelInsightsVisualization()
      viz.render_header_if_needed = MagicMock()
      viz.render_markdown = MagicMock()
  
      viz.render(state)
  
      viz.render_header_if_needed.assert_called_with(
          state, "Label insights"
      )
      viz.render_markdown.assert_called_with(
          " - Low-cardinality classes are detected. It is recommended to have at least "
          "`50` instances per class. Consider adding more data to cover the classes or "
          "remove such rows.\n"
          "   - class `A`: `10` instances\n"
          "   - class `B`: `20` instances\n"
          " - the following classes are found in `test_data`, but not present in "
          "`train_data`: `1`, `2`, `True`. Consider either removing the rows with "
          "classes not covered or adding more training data covering the classes.\n"
          " - Rows with out-of-domain labels were found. Consider removing rows with "
          "labels outside of this range or expand training data since some algorithms "
          "(i.e. trees) are unable to extrapolate beyond data present in the training "
          "data.\n"
          "   - `100` rows\n"
          "   - `train_data` values range `[10, 100]`\n"
          "   - `test_data` values range `[10, 50]`"
      )
  
imports: import os
  from unittest.mock import ANY, MagicMock
  import numpy
  import pandas
  import pytest
  from numpy import dtype
  from autogluon.eda import AnalysisState
  from autogluon.eda.analysis import MissingValuesAnalysis, RawTypesAnalysis, SpecialTypesAnalysis, VariableTypeAnalysis
  from autogluon.eda.analysis.dataset import DatasetSummary
  from autogluon.eda.auto import analyze
  from autogluon.eda.visualization import DatasetStatistics, DatasetTypeMismatch, LabelInsightsVisualization
label_desc: Use image node_id 9 for calling a global function with example usage: test_LabelInsightsVisualization() without return types