code: 
  '''simple docstring'''
  import os
  from typing import List
  
  
  
  
  def       _UpperCamelCase	(					SCREAMING_SNAKE_CASE__   ,					SCREAMING_SNAKE_CASE__ )     ->       str:
  
  
  		'''simple docstring'''
  
  
  		if name != "training_function" and name != "main":
  				raise ValueError(F'Incorrect function name passed: {name}, choose either \'main\' or \'training_function\'' )
  		snake_case ,snake_case     :					Dict     =	[], False
  		for line in lines:
  				if not found_start and F'def {name}' in line:
  						snake_case     :					Optional[int]     =	True
  						good_lines.append(SCREAMING_SNAKE_CASE__ )
  						continue
  				if found_start:
  						if name == "training_function" and "def main" in line:
  								return good_lines
  						if name == "main" and "if __name__" in line:
  								return good_lines
  						good_lines.append(SCREAMING_SNAKE_CASE__ )
  
  
  
  
  def       _UpperCamelCase	(					SCREAMING_SNAKE_CASE__ )     ->       Any:
  
  
  		'''simple docstring'''
  
  
  		return [line for line in lines if not line.lstrip().startswith('''#''' ) and line != "\n"]
  
  
  
  
  def       _UpperCamelCase	(					SCREAMING_SNAKE_CASE__   ,					SCREAMING_SNAKE_CASE__   ,					SCREAMING_SNAKE_CASE__   ,					SCREAMING_SNAKE_CASE__ = None )     ->       Union[str, Any]:
  
  
  		'''simple docstring'''
  
  
  		with open(SCREAMING_SNAKE_CASE__   ,					'''r''' ) as f:
  				snake_case     :					int     =	f.readlines()
  		with open(os.path.abspath(os.path.join('''examples'''   ,					'''nlp_example.py''' ) )   ,					'''r''' ) as f:
  				snake_case     :					Dict     =	f.readlines()
  		with open(SCREAMING_SNAKE_CASE__   ,					'''r''' ) as f:
  				snake_case     :					Optional[Any]     =	f.readlines()
  		if secondary_filename is not None:
  				with open(SCREAMING_SNAKE_CASE__   ,					'''r''' ) as f:
  						snake_case     :					int     =	f.readlines()
  
      # This is our base, we remove all the code from here in our `full_filename` and `feature_filename` to find the new content
  		if parser_only:
  				snake_case     :					Optional[int]     =	clean_lines(get_function_contents_by_name(SCREAMING_SNAKE_CASE__   ,					'''main''' ) )
  				snake_case     :					List[Any]     =	clean_lines(get_function_contents_by_name(SCREAMING_SNAKE_CASE__   ,					'''main''' ) )
  				snake_case     :					Tuple     =	clean_lines(get_function_contents_by_name(SCREAMING_SNAKE_CASE__   ,					'''main''' ) )
  				if secondary_filename is not None:
  						snake_case     :					Dict     =	clean_lines(get_function_contents_by_name(SCREAMING_SNAKE_CASE__   ,					'''main''' ) )
  		else:
  				snake_case     :					int     =	clean_lines(get_function_contents_by_name(SCREAMING_SNAKE_CASE__   ,					'''training_function''' ) )
  				snake_case     :					List[str]     =	clean_lines(get_function_contents_by_name(SCREAMING_SNAKE_CASE__   ,					'''training_function''' ) )
  				snake_case     :					str     =	clean_lines(get_function_contents_by_name(SCREAMING_SNAKE_CASE__   ,					'''training_function''' ) )
  				if secondary_filename is not None:
  						snake_case     :					Union[str, Any]     =	clean_lines(
  						    get_function_contents_by_name(SCREAMING_SNAKE_CASE__   ,					'''training_function''' ) )
  
  		snake_case     :					Tuple     =	'''train_dataloader, eval_dataloader = get_dataloaders(accelerator, batch_size)\n'''
  
  		# Specific code in our script that differs from the full version, aka what is new
  		snake_case     :					Any     =	[]
  		snake_case     :					List[Any]     =	[]  # We keep track of the idxs just in case it's a repeated statement
  		snake_case     :					List[str]     =	iter(SCREAMING_SNAKE_CASE__ )
  		for i in range(len(SCREAMING_SNAKE_CASE__ ) - 1 ):
  				if i not in passed_idxs:
  						snake_case     :					List[Any]     =	next(SCREAMING_SNAKE_CASE__ )
  						if (line not in full_file_func) and (line.lstrip() != _dl_line):
  								if "TESTING_MOCKED_DATALOADERS" not in line:
  										new_feature_code.append(SCREAMING_SNAKE_CASE__ )
  										passed_idxs.append(SCREAMING_SNAKE_CASE__ )
  								else:
  										# Skip over the `config['num_epochs'] = 2` statement
  										snake_case     :					Tuple     =	next(SCREAMING_SNAKE_CASE__ )
  
      # Extract out just the new parts from the full_file_training_func
  		snake_case     :					Tuple     =	[]
  		snake_case     :					List[Any]     =	[]  # We keep track of the idxs just in case it's a repeated statement
  		for i, line in enumerate(SCREAMING_SNAKE_CASE__ ):
  				if i not in passed_idxs:
  						if (line not in full_file_func) and (line.lstrip() != _dl_line):
  								if "TESTING_MOCKED_DATALOADERS" not in line:
  										new_full_example_parts.append(SCREAMING_SNAKE_CASE__ )
  										passed_idxs.append(SCREAMING_SNAKE_CASE__ )
  
      # Finally, get the overall diff
  		snake_case     :					Dict     =	[line for line in new_feature_code if line not in new_full_example_parts]
  		if secondary_filename is not None:
  				snake_case     :					int     =	[line for line in full_file_contents if line not in secondary_file_func]
  				snake_case     :					Optional[Any]     =	[line for line in diff_from_example if line not in diff_from_two]
  
  		return diff_from_example
  
  
  
style_context: 
  '''simple docstring'''
  def       _UpperCamelCase	(					SCREAMING_SNAKE_CASE__   ,					SCREAMING_SNAKE_CASE__ )     ->       int:
  
  
  		'''simple docstring'''
  
  
  		snake_case     :					Optional[Any]     =	0
  		for ele in arr:
  				total_sum += product_sum(SCREAMING_SNAKE_CASE__   ,					depth + 1 ) if isinstance(SCREAMING_SNAKE_CASE__   ,					SCREAMING_SNAKE_CASE__ ) else ele
  		return total_sum * depth
  
  
  
  
  def       _UpperCamelCase	(					SCREAMING_SNAKE_CASE__ )     ->       int:
  
  
  		'''simple docstring'''
  
  
  		return product_sum(SCREAMING_SNAKE_CASE__   ,					1 )
  
  
  if __name__ == "__main__":
  						import doctest
  
  						doctest.testmod()
  
  
  