code: def assign_feature_column_names(
      data_processors: Dict,
      df_preprocessor: MultiModalFeaturePreprocessor,
  ):
      """
      Assign feature column names to data processors.
      This is to patch the data processors saved by AutoGluon 0.4.0.
  
      Parameters
      ----------
      data_processors
          The data processors.
      df_preprocessor
          The dataframe preprocessor.
  
      Returns
      -------
      The data processors with feature column names added.
      """
      for per_modality in data_processors:
          if per_modality == LABEL or per_modality == TEXT_NER:
              continue
          for per_model_processor in data_processors[per_modality]:
              # requires_column_info=True is used for feature column distillation.
              per_model_processor.requires_column_info = False
              if per_modality == IMAGE:
                  per_model_processor.image_column_names = (
                      df_preprocessor.image_path_names
                  )
              elif per_modality == TEXT:
                  per_model_processor.text_column_names = (
                      df_preprocessor.text_feature_names
                  )
              elif per_modality == NUMERICAL:
                  per_model_processor.numerical_column_names = (
                      df_preprocessor.numerical_feature_names
                  )
              elif per_modality == CATEGORICAL:
                  per_model_processor.categorical_column_names = (
                      df_preprocessor.categorical_feature_names
                  )
              else:
                  raise ValueError(f"Unknown modality: {per_modality}")
  
      return data_processors
  
imports: import copy
  import logging
  import os
  import warnings
  from typing import Dict, List, Optional, Tuple, Union
  import pandas
  from omegaconf import DictConfig, OmegaConf
  from torch import nn
  from autogluon.core.utils import default_holdout_frac, generate_train_test_split_combined
  from autogluon.core.utils.loaders import load_pd
  from ..constants import BINARY, CATEGORICAL, DEFAULT_SHOT, DOCUMENT, FEW_SHOT, IMAGE, IMAGE_PATH, LABEL, MMLAB_MODELS, MULTICLASS, NER, NER_ANNOTATION, NER_TEXT, NUMERICAL, OVD, REGRESSION, ROIS, SAM, SEMANTIC_SEGMENTATION_IMG, TEXT, TEXT_NER
  from ..data import CategoricalProcessor, DocumentProcessor, ImageProcessor, LabelProcessor, MixupModule, MMDetProcessor, MMOcrProcessor, MultiModalFeaturePreprocessor, NerLabelEncoder, NerProcessor, NumericalProcessor, OVDProcessor, SemanticSegImageProcessor, TextProcessor
  from ..data.infer_types import is_image_column
label_desc: Use image node_id 4 for calling a global function with example usage: assign_feature_column_names(data_processors, df_preprocessor) and returns: data_processors