code: def test_clean_frameworks_in_init_with_gpt(self):
      test_init = """
  from typing import TYPE_CHECKING
  
  from ...utils import _LazyModule, is_flax_available, is_tf_available, is_tokenizers_available, is_torch_available
  
  _import_structure = {
      "configuration_gpt2": ["GPT2_PRETRAINED_CONFIG_ARCHIVE_MAP", "GPT2Config", "GPT2OnnxConfig"],
      "tokenization_gpt2": ["GPT2Tokenizer"],
  }
  
  if is_tokenizers_available():
      _import_structure["tokenization_gpt2_fast"] = ["GPT2TokenizerFast"]
  
  if is_torch_available():
      _import_structure["modeling_gpt2"] = ["GPT2Model"]
  
  if is_tf_available():
      _import_structure["modeling_tf_gpt2"] = ["TFGPT2Model"]
  
  if is_flax_available():
      _import_structure["modeling_flax_gpt2"] = ["FlaxGPT2Model"]
  
  if TYPE_CHECKING:
      from .configuration_gpt2 import GPT2_PRETRAINED_CONFIG_ARCHIVE_MAP, GPT2Config, GPT2OnnxConfig
      from .tokenization_gpt2 import GPT2Tokenizer
  
      if is_tokenizers_available():
          from .tokenization_gpt2_fast import GPT2TokenizerFast
  
      if is_torch_available():
          from .modeling_gpt2 import GPT2Model
  
      if is_tf_available():
          from .modeling_tf_gpt2 import TFGPT2Model
  
      if is_flax_available():
          from .modeling_flax_gpt2 import FlaxGPT2Model
  
  else:
      import sys
  
      sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure)
  """
  
      init_no_tokenizer = """
  from typing import TYPE_CHECKING
  
  from ...utils import _LazyModule, is_flax_available, is_tf_available, is_torch_available
  
  _import_structure = {
      "configuration_gpt2": ["GPT2_PRETRAINED_CONFIG_ARCHIVE_MAP", "GPT2Config", "GPT2OnnxConfig"],
  }
  
  if is_torch_available():
      _import_structure["modeling_gpt2"] = ["GPT2Model"]
  
  if is_tf_available():
      _import_structure["modeling_tf_gpt2"] = ["TFGPT2Model"]
  
  if is_flax_available():
      _import_structure["modeling_flax_gpt2"] = ["FlaxGPT2Model"]
  
  if TYPE_CHECKING:
      from .configuration_gpt2 import GPT2_PRETRAINED_CONFIG_ARCHIVE_MAP, GPT2Config, GPT2OnnxConfig
  
      if is_torch_available():
          from .modeling_gpt2 import GPT2Model
  
      if is_tf_available():
          from .modeling_tf_gpt2 import TFGPT2Model
  
      if is_flax_available():
          from .modeling_flax_gpt2 import FlaxGPT2Model
  
  else:
      import sys
  
      sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure)
  """
  
      init_pt_only = """
  from typing import TYPE_CHECKING
  
  from ...utils import _LazyModule, is_tokenizers_available, is_torch_available
  
  _import_structure = {
      "configuration_gpt2": ["GPT2_PRETRAINED_CONFIG_ARCHIVE_MAP", "GPT2Config", "GPT2OnnxConfig"],
      "tokenization_gpt2": ["GPT2Tokenizer"],
  }
  
  if is_tokenizers_available():
      _import_structure["tokenization_gpt2_fast"] = ["GPT2TokenizerFast"]
  
  if is_torch_available():
      _import_structure["modeling_gpt2"] = ["GPT2Model"]
  
  if TYPE_CHECKING:
      from .configuration_gpt2 import GPT2_PRETRAINED_CONFIG_ARCHIVE_MAP, GPT2Config, GPT2OnnxConfig
      from .tokenization_gpt2 import GPT2Tokenizer
  
      if is_tokenizers_available():
          from .tokenization_gpt2_fast import GPT2TokenizerFast
  
      if is_torch_available():
          from .modeling_gpt2 import GPT2Model
  
  else:
      import sys
  
      sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure)
  """
  
      init_pt_only_no_tokenizer = """
  from typing import TYPE_CHECKING
  
  from ...utils import _LazyModule, is_torch_available
  
  _import_structure = {
      "configuration_gpt2": ["GPT2_PRETRAINED_CONFIG_ARCHIVE_MAP", "GPT2Config", "GPT2OnnxConfig"],
  }
  
  if is_torch_available():
      _import_structure["modeling_gpt2"] = ["GPT2Model"]
  
  if TYPE_CHECKING:
      from .configuration_gpt2 import GPT2_PRETRAINED_CONFIG_ARCHIVE_MAP, GPT2Config, GPT2OnnxConfig
  
      if is_torch_available():
          from .modeling_gpt2 import GPT2Model
  
  else:
      import sys
  
      sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure)
  """
  
      with tempfile.TemporaryDirectory() as tmp_dir:
          file_name = os.path.join(tmp_dir, "../__init__.py")
  
          self.init_file(file_name, test_init)
          clean_frameworks_in_init(file_name, keep_processing=False)
          self.check_result(file_name, init_no_tokenizer)
  
          self.init_file(file_name, test_init)
          clean_frameworks_in_init(file_name, frameworks=["pt"])
          self.check_result(file_name, init_pt_only)
  
          self.init_file(file_name, test_init)
          clean_frameworks_in_init(
              file_name, frameworks=["pt"], keep_processing=False
          )
          self.check_result(file_name, init_pt_only_no_tokenizer)
  
imports: import os
  import re
  import tempfile
  import unittest
  from pathlib import Path
  import transformers
  from transformers.commands.add_new_model_like import ModelPatterns, _re_class_func, add_content_to_file, add_content_to_text, clean_frameworks_in_init, duplicate_doc_file, duplicate_module, filter_framework_files, find_base_model_checkpoint, get_model_files, get_module_from_file, parse_module_content, replace_model_patterns, retrieve_info_for_model, retrieve_model_classes, simplify_replacements
  from transformers.testing_utils import require_flax, require_tf, require_torch
label_desc: Use image node_id 23 for calling the TestAddNewModelLike obj's underlying member method code with example usage: obj.test_clean_frameworks_in_init_with_gpt() without return types