code: def example_input(self) -> str:
      parameters = self._parameters
  
      row = {}
      for cat_col in parameters["categorical_fields"]:
          row[cat_col] = ["test"]
      for num_col in parameters["numerical_fields"]:
          row[num_col] = [0]
      return str(DataFrame.from_dict(row).to_csv())
  
file_path: lightning-flash/src/flash/tabular/input.py
imports: from io import StringIO
  from typing import Any, Dict, List, Optional, Union
  import numpy
  from flash.core.data.io.input import DataKeys, Input, ServeInput
  from flash.core.utilities.imports import _PANDAS_AVAILABLE
  from flash.tabular.classification.utils import _compute_normalization, _generate_codes, _pre_transform, _to_cat_vars_numpy, _to_num_vars_numpy
label_desc: Use image node_id 3 for calling the TabularDeserializer obj's underlying member method code with example usage: obj.example_input() and returns: str