code: def test_row_from_input(precalculated_catboost_classifier_explainer):
      input_row = precalculated_catboost_classifier_explainer.get_row_from_input(
          precalculated_catboost_classifier_explainer.X.iloc[
              [0]
          ].values.tolist()
      )
      assert isinstance(input_row, pd.DataFrame)
  
      input_row = precalculated_catboost_classifier_explainer.get_row_from_input(
          precalculated_catboost_classifier_explainer.X_merged[
              precalculated_catboost_classifier_explainer.columns_ranked_by_shap()
          ]
          .iloc[[0]]
          .values.tolist(),
          ranked_by_shap=True,
      )
      assert isinstance(input_row, pd.DataFrame)
  
imports: import pandas
  import numpy
  from pandas.api.types import is_categorical_dtype, is_numeric_dtype
  import plotly.graph_objs
label_desc: Use image node_id 6 for calling a global function with example usage: test_row_from_input(precalculated_catboost_classifier_explainer) without return types