code: def summarize_category_types(
      self,
      this_df: pd.DataFrame,
      dest_dict: dict,
      skip: List[str],
      source_target_dict,
  ):
      dest_dict["num_cat"] = len(
          [
              x
              for x in self._features.values()
              if (
                  x["type"] == FeatureType.TYPE_CAT
                  or x["type"] == FeatureType.TYPE_BOOL
              )
              and x["name"] not in skip
              and x["name"] in this_df
          ]
      )
      dest_dict["num_numerical"] = len(
          [
              x
              for x in self._features.values()
              if x["type"] == FeatureType.TYPE_NUM
              and x["name"] not in skip
              and x["name"] in this_df
          ]
      )
      dest_dict["num_text"] = len(
          [
              x
              for x in self._features.values()
              if x["type"] == FeatureType.TYPE_TEXT
              and x["name"] not in skip
              and x["name"] in this_df
          ]
      )
      if (
          source_target_dict is not None
          and source_target_dict["name"] in this_df
      ):
          if source_target_dict["type"] == FeatureType.TYPE_NUM:
              dest_dict["num_numerical"] = (
                  dest_dict["num_numerical"] + 1
              )
          elif (
              source_target_dict["type"] == FeatureType.TYPE_CAT
              or source_target_dict["type"] == FeatureType.TYPE_BOOL
          ):
              dest_dict["num_cat"] = dest_dict["num_cat"] + 1
      return
  
imports: from typing import Union, List, Tuple
  import os
  import time
  import pandas
  from numpy import isnan
  from tqdm.auto import tqdm
  from sweetviz.sv_types import NumWithPercent, FeatureToProcess, FeatureType
  import sweetviz.from_dython
  import sweetviz.series_analyzer
  import sweetviz.utils
  from sweetviz.graph_associations import GraphAssoc
  from sweetviz.graph_associations import CORRELATION_ERROR
  from sweetviz.graph_associations import CORRELATION_IDENTICAL
  from sweetviz.graph_legend import GraphLegend
  from sweetviz.config import config
  import sweetviz.comet_ml_logger
  import sweetviz.sv_html
  from sweetviz.feature_config import FeatureConfig
  import webbrowser
  from sweetviz.config import config
label_desc: Use image node_id 11 for calling the DataframeReport obj's underlying member method code with example usage: obj.summarize_category_types(this_df, dest_dict, skip, source_target_dict) without return types