code: 
  
  
  import argparse
  import collections
  import importlib.util
  import os
  import re
  
  
  # All paths are set with the intent you should run this script from the root of the repo with the command
  # python utils/check_table.py
  lowerCAmelCase   :Union[str, Any]								=    """src/diffusers"""
  lowerCAmelCase   :List[Any]								=    """docs/source/en"""
  lowerCAmelCase   :Union[str, Any]								=    """."""
  
  
  
  
  
  def lowerCamelCase    (    lowerCAmelCase       :			List[str]	,	lowerCAmelCase       :			Optional[Any]	,	lowerCAmelCase       :			Optional[Any]	):
  
  
  
  
  
  	"""simple docstring"""
  
  
  
  
  
  
  
  	with open(lowerCAmelCase	,	'r'	,	encoding='utf-8'	,	newline='\n'	) as f:
  		__magic_name__ :					Union[str, Any]  			=  f.readlines()
  	# Find the start prompt.
  	__magic_name__ :					Dict  			=  0
  	while not lines[start_index].startswith(lowerCAmelCase	):
  		start_index += 1
  	start_index += 1
  
  	__magic_name__ :					List[Any]  			=  start_index
  	while not lines[end_index].startswith(lowerCAmelCase	):
  		end_index += 1
  	end_index -= 1
  
  	while len(lines[start_index]	) <= 1:
  		start_index += 1
  	while len(lines[end_index]	) <= 1:
  		end_index -= 1
  	end_index += 1
  	return "".join(lines[start_index:end_index]	), start_index, end_index, lines
  
  
  # Add here suffixes that are used to identify models, separated by |
  lowerCAmelCase   :str								=    """Model|Encoder|Decoder|ForConditionalGeneration"""
  # Regexes that match TF/Flax/PT model names.
  lowerCAmelCase   :Optional[int]								=    re.compile(r'''TF(.*)(?:Model|Encoder|Decoder|ForConditionalGeneration)''')
  lowerCAmelCase   :Tuple								=    re.compile(r'''Flax(.*)(?:Model|Encoder|Decoder|ForConditionalGeneration)''')
  # Will match any TF or Flax model too so need to be in an else branch afterthe two previous regexes.
  lowerCAmelCase   :List[str]								=    re.compile(r'''(.*)(?:Model|Encoder|Decoder|ForConditionalGeneration)''')
  
  
  # This is to make sure the diffusers module imported is the one in the repo.
  lowerCAmelCase   :List[str]								=    importlib.util.spec_from_file_location(
      '''diffusers''',
      os.path.join(TRANSFORMERS_PATH, '''__init__.py'''),
      submodule_search_locations=[TRANSFORMERS_PATH],
  )
  lowerCAmelCase   :Union[str, Any]								=    spec.loader.load_module()
  
  
  
  
  
  def lowerCamelCase    (    lowerCAmelCase       :			int	):
  
  
  
  
  
  	"""simple docstring"""
  
  
  
  
  
  
  
  	__magic_name__ :					List[Any]  			=  re.finditer('.+?(?:(?<=[a-z])(?=[A-Z])|(?<=[A-Z])(?=[A-Z][a-z])|$)'	,	lowerCAmelCase	)
  	return [m.group(0	) for m in matches]
  
  
  
  
  
  def lowerCamelCase    (    lowerCAmelCase       :			str	,	lowerCAmelCase       :			List[Any]	):
  
  
  
  
  
  	"""simple docstring"""
  
  
  
  
  
  
  
  	__magic_name__ :					str  			=  2 if text == '✅' or text == '❌' else len(lowerCAmelCase	)
  	__magic_name__ :					int  			=  (width - text_length) // 2
  	__magic_name__ :					int  			=  width - text_length - left_indent
  	return " " * left_indent + text + " " * right_indent
  
  
  
  
  
  def lowerCamelCase    (    ):
  
  
  
  
  
  	"""simple docstring"""
  
  
  
  
  
  
  
  	__magic_name__ :					Optional[int]  			=  diffusers_module.models.auto.configuration_auto.CONFIG_MAPPING_NAMES
  	__magic_name__ :					Dict  			=  {
  	    name: config_mapping_names[code]
  	    for code, name in diffusers_module.MODEL_NAMES_MAPPING.items()
  	    if code in config_mapping_names
  	}
  	__magic_name__ :					Union[str, Any]  			=  {name: config.replace('ConfigMixin'	,	''	) for name, config in model_name_to_config.items()}
  
  	# Dictionaries flagging if each model prefix has a slow/fast tokenizer, backend in PT/TF/Flax.
  	__magic_name__ :					Tuple  			=  collections.defaultdict(lowerCAmelCase	)
  	__magic_name__ :					Dict  			=  collections.defaultdict(lowerCAmelCase	)
  	__magic_name__ :					int  			=  collections.defaultdict(lowerCAmelCase	)
  	__magic_name__ :					Union[str, Any]  			=  collections.defaultdict(lowerCAmelCase	)
  	__magic_name__ :					Optional[Any]  			=  collections.defaultdict(lowerCAmelCase	)
  
  	# Let's lookup through all diffusers object (once).
  	for attr_name in dir(lowerCAmelCase	):
  		__magic_name__ :					List[str]  			=  None
  		if attr_name.endswith('Tokenizer'	):
  			__magic_name__ :					str  			=  slow_tokenizers
  			__magic_name__ :					Optional[int]  			=  attr_name[:-9]
  		elif attr_name.endswith('TokenizerFast'	):
  			__magic_name__ :					Tuple  			=  fast_tokenizers
  			__magic_name__ :					Optional[int]  			=  attr_name[:-13]
  		elif _re_tf_models.match(lowerCAmelCase	) is not None:
  			__magic_name__ :					Optional[int]  			=  tf_models
  			__magic_name__ :					Dict  			=  _re_tf_models.match(lowerCAmelCase	).groups()[0]
  		elif _re_flax_models.match(lowerCAmelCase	) is not None:
  			__magic_name__ :					Optional[Any]  			=  flax_models
  			__magic_name__ :					Dict  			=  _re_flax_models.match(lowerCAmelCase	).groups()[0]
  		elif _re_pt_models.match(lowerCAmelCase	) is not None:
  			__magic_name__ :					List[str]  			=  pt_models
  			__magic_name__ :					List[str]  			=  _re_pt_models.match(lowerCAmelCase	).groups()[0]
  
  		if lookup_dict is not None:
  			while len(lowerCAmelCase	) > 0:
  				if attr_name in model_name_to_prefix.values():
  					__magic_name__ :					Tuple  			=  True
  					break
  				# Try again after removing the last word in the name
  				__magic_name__ :					int  			=  ''.join(camel_case_split(lowerCAmelCase	)[:-1]	)
  
      # Let's build that table!
  	__magic_name__ :					Dict  			=  list(model_name_to_config.keys()	)
  	model_names.sort(key=str.lower	)
  	__magic_name__ :					Optional[Any]  			=  ['Model', 'Tokenizer slow', 'Tokenizer fast', 'PyTorch support', 'TensorFlow support', 'Flax Support']
  	# We'll need widths to properly display everything in the center (+2 is to leave one extra space on each side).
  	__magic_name__ :					Tuple  			=  [len(lowerCAmelCase	) + 2 for c in columns]
  	__magic_name__ :					List[Any]  			=  max([len(lowerCAmelCase	) for name in model_names]	) + 2
  
  	# Build the table per se
  	__magic_name__ :					List[Any]  			=  '|' + '|'.join([_center_text(lowerCAmelCase	,	lowerCAmelCase	) for c, w in zip(lowerCAmelCase	,	lowerCAmelCase	)]	) + '|\n'
  	# Use ":-----:" format to center-aligned table cell texts
  	table += "|" + "|".join([':' + '-' * (w - 2) + ':' for w in widths]	) + "|\n"
  
  	__magic_name__ :					Any  			=  {True: '✅', False: '❌'}
  	for name in model_names:
  		__magic_name__ :					Optional[int]  			=  model_name_to_prefix[name]
  		__magic_name__ :					str  			=  [
  		    name,
  		    check[slow_tokenizers[prefix]],
  		    check[fast_tokenizers[prefix]],
  		    check[pt_models[prefix]],
  		    check[tf_models[prefix]],
  		    check[flax_models[prefix]],
  		]
  		table += "|" + "|".join([_center_text(lowerCAmelCase	,	lowerCAmelCase	) for l, w in zip(lowerCAmelCase	,	lowerCAmelCase	)]	) + "|\n"
  	return table
  
  
  
  
  
  def lowerCamelCase    (    lowerCAmelCase       :			Tuple=False	):
  
  
  
  
  
  	"""simple docstring"""
  
  
  
  
  
  
  
  	__magic_name__			,       __magic_name__			,       __magic_name__			,       __magic_name__ :					List[Any]  			=  _find_text_in_file(
  	    filename=os.path.join(lowerCAmelCase	,	'index.mdx'	)	,	start_prompt='<!--This table is updated automatically from the auto modules'	,	end_prompt='<!-- End table-->'	,	)
  	__magic_name__ :					int  			=  get_model_table_from_auto_modules()
  
  	if current_table != new_table:
  		if overwrite:
  			with open(os.path.join(lowerCAmelCase	,	'index.mdx'	)	,	'w'	,	encoding='utf-8'	,	newline='\n'	) as f:
  				f.writelines(lines[:start_index] + [new_table] + lines[end_index:]	)
  		else:
  			raise ValueError(
  			    'The model table in the `index.mdx` has not been updated. Run `make fix-copies` to fix this.'	)
  
  
  if __name__ == "__main__":
  							lowerCAmelCase   :Tuple								=    argparse.ArgumentParser()
  							parser.add_argument('''--fix_and_overwrite''', action='''store_true''', help='''Whether to fix inconsistencies.''')
  							lowerCAmelCase   :Union[str, Any]								=    parser.parse_args()
  
  							check_model_table(args.fix_and_overwrite)
style_context: 
  
  
  '''simple docstring'''
  
  import itertools
  from pathlib import Path
  
  
  
  
  
  def lowerCamelCase    (    lowerCAmelCase       :			list[str]	):
  
  
  
  
  
  	"""simple docstring"""
  
  
  
  
  
  
  
  	__magic_name__ :					str  			=  [tuple(lowerCAmelCase	) for login in logins]
  
  	__magic_name__ :					int  			=  {char for login in split_logins for char in login}
  
  	for permutation in itertools.permutations(lowerCAmelCase	):
  		__magic_name__ :					List[Any]  			=  True
  		for login in logins:
  			if not (
  			    permutation.index(login[0]	)
  			    < permutation.index(login[1]	)
  			    < permutation.index(login[2]	)
  			):
  				__magic_name__ :					Tuple  			=  False
  				break
  
  		if satisfied:
  			return int(''.join(lowerCAmelCase	)	)
  
  	raise Exception('Unable to find the secret passcode'	)
  
  
  
  
  
  def lowerCamelCase    (    lowerCAmelCase       :			str = "keylog.txt"	):
  
  
  
  
  
  	"""simple docstring"""
  
  
  
  
  
  
  
  	__magic_name__ :					List[Any]  			=  Path(lowerCAmelCase	).parent.joinpath(lowerCAmelCase	).read_text().splitlines()
  
  	return find_secret_passcode(lowerCAmelCase	)
  
  
  if __name__ == "__main__":
  							print(F'{solution() = }')