code: def tabular_dl_estimator(framework):
      def _tabular_dl_estimator(clipped=True):
          classifier = None
          if framework == "keras":
              if clipped:
                  classifier = get_tabular_classifier_kr()
              else:
                  kr_classifier = get_tabular_classifier_kr()
                  classifier = KerasClassifier(
                      model=kr_classifier.model,
                      use_logits=False,
                      channels_first=True,
                  )
  
          if framework == "tensorflow1" or framework == "tensorflow2":
              if clipped:
                  classifier, _ = get_tabular_classifier_tf()
  
          if framework == "pytorch":
              if clipped:
                  classifier = get_tabular_classifier_pt()
  
          if classifier is None:
              raise ARTTestFixtureNotImplemented(
                  "no deep learning tabular estimator available",
                  tabular_dl_estimator.__name__,
                  framework,
              )
          return classifier
  
      return _tabular_dl_estimator
  
imports: import importlib
  import json
  import logging
  import os
  import shutil
  import tempfile
  from typing import Dict, List, TYPE_CHECKING, Union
  import warnings
  import numpy
  import pytest
  import requests
  from art.data_generators import KerasDataGenerator, MXDataGenerator, PyTorchDataGenerator, TensorFlowDataGenerator, TensorFlowV2DataGenerator
  from art.defences.preprocessor import FeatureSqueezing, JpegCompression, SpatialSmoothing
  from art.estimators.classification import KerasClassifier
  from tests.utils import ARTTestFixtureNotImplemented, get_attack_classifier_pt, get_image_classifier_kr, get_image_classifier_kr_functional, get_image_classifier_kr_tf, get_image_classifier_kr_tf_functional, get_image_classifier_kr_tf_with_wildcard, get_image_classifier_mxnet_custom_ini, get_image_classifier_pt, get_image_classifier_pt_functional, get_image_classifier_tf, get_image_classifier_hf, get_image_gan_tf_v2, get_image_generator_tf_v2, get_tabular_classifier_kr, get_tabular_classifier_pt, get_tabular_classifier_scikit_list, get_tabular_classifier_tf, load_dataset, master_seed
label_desc: Use image node_id 21 for calling a global function with example usage: tabular_dl_estimator(framework) and returns: _tabular_dl_estimator, classifier