code: def test_row_from_input(precalculated_rf_regression_explainer):
      input_row = (
          precalculated_rf_regression_explainer.get_row_from_input(
              precalculated_rf_regression_explainer.X.iloc[
                  [0]
              ].values.tolist()
          )
      )
      assert isinstance(input_row, pd.DataFrame)
  
      input_row = (
          precalculated_rf_regression_explainer.get_row_from_input(
              precalculated_rf_regression_explainer.X_merged.iloc[
                  [0]
              ].values.tolist()
          )
      )
      assert isinstance(input_row, pd.DataFrame)
  
      input_row = precalculated_rf_regression_explainer.get_row_from_input(
          precalculated_rf_regression_explainer.X_merged[
              precalculated_rf_regression_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_objects
label_desc: Use image node_id 5 for calling a global function with example usage: test_row_from_input(precalculated_rf_regression_explainer) without return types