code: def test_AnomalyDetectorAnalysis__can_handle():
      a = AnomalyDetectorAnalysis()
      assert a.can_handle(None, AnalysisState()) is False
  
      df_train, cols = _generate_dataset()
      df_test, cols = _generate_dataset()
  
      assert (
          a.can_handle(
              None, AnalysisState(train_data=df_train, label="label")
          )
          is True
      )
      assert (
          a.can_handle(
              None,
              AnalysisState(
                  train_data=df_train, test_data=df_test, label="label"
              ),
          )
          is True
      )
  
      _df_train = df_train.copy()
      _df_train.loc[[0, 1, 2], cols] = np.NAN
      _df_test = df_test.copy()
      _df_test.loc[[3, 4, 5], cols] = np.NAN
  
      assert (
          a.can_handle(
              None,
              AnalysisState(
                  train_data=_df_train,
                  test_data=_df_test,
                  label="label",
              ),
          )
          is False
      )
      assert (
          a.can_handle(
              None,
              AnalysisState(
                  train_data=df_train, test_data=_df_test, label="label"
              ),
          )
          is False
      )
  
file_path: autogluon/eda/tests/unittests/analysis/test_anomaly.py
imports: from unittest.mock import MagicMock
  import numpy
  import pandas
  import pytest
  from pandas.testing import assert_frame_equal
  from pyod.models.lof import LOF
  from autogluon.eda import AnalysisState
  from autogluon.eda.analysis import AnomalyDetector, AnomalyDetectorAnalysis
label_desc: Use image node_id 7 for calling a global function with example usage: test_AnomalyDetectorAnalysis__can_handle() without return types