




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
UpperCAmelCase__    :							Any       		=     'src/diffusers'
UpperCAmelCase__    :							List[Any]       		=     'docs/source/en'
UpperCAmelCase__    :							List[str]       		=     '.'


def 		_lowerCamelCase					(       UpperCamelCase       ,  UpperCamelCase       ,  UpperCamelCase				)      ->		Union[str, Any]:





  """simple docstring"""





  with open(UpperCamelCase       ,  'r'       ,  encoding='utf-8'       ,  newline='\n'				) as f:
    _lowercase:			Dict      =     f.readlines()
  # Find the start prompt.
  _lowercase:			Union[str, Any]      =     0
  while not lines[start_index].startswith(UpperCamelCase				):
    start_index += 1
  start_index += 1

  _lowercase:			Any      =     start_index
  while not lines[end_index].startswith(UpperCamelCase				):
    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 |
UpperCAmelCase__    :							Any       		=     'Model|Encoder|Decoder|ForConditionalGeneration'
# Regexes that match TF/Flax/PT model names.
UpperCAmelCase__    :							Dict       		=     re.compile(r'TF(.*)(?:Model|Encoder|Decoder|ForConditionalGeneration)')
UpperCAmelCase__    :							int       		=     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.
UpperCAmelCase__    :							Any       		=     re.compile(r'(.*)(?:Model|Encoder|Decoder|ForConditionalGeneration)')


# This is to make sure the diffusers module imported is the one in the repo.
UpperCAmelCase__    :							Optional[Any]       		=     importlib.util.spec_from_file_location(
    'diffusers',
    os.path.join(TRANSFORMERS_PATH, '__init__.py'),
    submodule_search_locations=[TRANSFORMERS_PATH],
)
UpperCAmelCase__    :							Optional[Any]       		=     spec.loader.load_module()


def 		_lowerCamelCase					(       UpperCamelCase				)      ->		Union[str, Any]:





  """simple docstring"""





  _lowercase:			str      =     re.finditer('.+?(?:(?<=[a-z])(?=[A-Z])|(?<=[A-Z])(?=[A-Z][a-z])|$)'       ,  UpperCamelCase				)
  return [m.group(0				) for m in matches]


def 		_lowerCamelCase					(       UpperCamelCase       ,  UpperCamelCase				)      ->		List[str]:





  """simple docstring"""





  _lowercase:			Union[str, Any]      =     2 if text == '✅' or text == '❌' else len(UpperCamelCase				)
  _lowercase:			Any      =     (width - text_length) // 2
  _lowercase:			Tuple      =     width - text_length - left_indent
  return " " * left_indent + text + " " * right_indent


def 		_lowerCamelCase					(       )      ->		Optional[Any]:





  """simple docstring"""





  _lowercase:			List[str]      =     diffusers_module.models.auto.configuration_auto.CONFIG_MAPPING_NAMES
  _lowercase:			Optional[Any]      =     {
      name: config_mapping_names[code]
      for code, name in diffusers_module.MODEL_NAMES_MAPPING.items()
      if code in config_mapping_names
  }
  _lowercase:			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.
  _lowercase:			Any      =     collections.defaultdict(UpperCamelCase				)
  _lowercase:			Optional[Any]      =     collections.defaultdict(UpperCamelCase				)
  _lowercase:			Optional[Any]      =     collections.defaultdict(UpperCamelCase				)
  _lowercase:			Union[str, Any]      =     collections.defaultdict(UpperCamelCase				)
  _lowercase:			List[str]      =     collections.defaultdict(UpperCamelCase				)

  # Let's lookup through all diffusers object (once).
  for attr_name in dir(UpperCamelCase				):
    _lowercase:			str      =     None
    if attr_name.endswith('Tokenizer'				):
      _lowercase:			Any      =     slow_tokenizers
      _lowercase:			Optional[int]      =     attr_name[:-9]
    elif attr_name.endswith('TokenizerFast'				):
      _lowercase:			Union[str, Any]      =     fast_tokenizers
      _lowercase:			str      =     attr_name[:-13]
    elif _re_tf_models.match(UpperCamelCase				) is not None:
      _lowercase:			Optional[Any]      =     tf_models
      _lowercase:			Any      =     _re_tf_models.match(UpperCamelCase				).groups()[0]
    elif _re_flax_models.match(UpperCamelCase				) is not None:
      _lowercase:			List[str]      =     flax_models
      _lowercase:			Tuple      =     _re_flax_models.match(UpperCamelCase				).groups()[0]
    elif _re_pt_models.match(UpperCamelCase				) is not None:
      _lowercase:			List[str]      =     pt_models
      _lowercase:			Any      =     _re_pt_models.match(UpperCamelCase				).groups()[0]

    if lookup_dict is not None:
      while len(UpperCamelCase				) > 0:
        if attr_name in model_name_to_prefix.values():
          _lowercase:			Union[str, Any]      =     True
          break
        # Try again after removing the last word in the name
        _lowercase:			Optional[int]      =     ''.join(camel_case_split(UpperCamelCase				)[:-1]				)

    # Let's build that table!
  _lowercase:			Dict      =     list(model_name_to_config.keys()				)
  model_names.sort(key=str.lower				)
  _lowercase:			List[str]      =     ['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).
  _lowercase:			str      =     [len(UpperCamelCase				) + 2 for c in columns]
  _lowercase:			str      =     max([len(UpperCamelCase				) for name in model_names]				) + 2

  # Build the table per se
  _lowercase:			Union[str, Any]      =     '|' + '|'.join([_center_text(UpperCamelCase       ,  UpperCamelCase				) for c, w in zip(UpperCamelCase       ,  UpperCamelCase				)]				) + '|\n'
  # Use ":-----:" format to center-aligned table cell texts
  table += "|" + "|".join([':' + '-' * (w - 2) + ':' for w in widths]				) + "|\n"

  _lowercase:			Optional[Any]      =     {True: '✅', False: '❌'}
  for name in model_names:
    _lowercase:			Tuple      =     model_name_to_prefix[name]
    _lowercase:			Any      =     [
        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(UpperCamelCase       ,  UpperCamelCase				) for l, w in zip(UpperCamelCase       ,  UpperCamelCase				)]				) + "|\n"
  return table


def 		_lowerCamelCase					(       UpperCamelCase=False				)      ->		Optional[Any]:





  """simple docstring"""





  _lowercase  ,       _lowercase  ,       _lowercase  ,       _lowercase:			int      =     _find_text_in_file(
      filename=os.path.join(UpperCamelCase       ,  'index.mdx'				)       ,  start_prompt='<!--This table is updated automatically from the auto modules'       ,  end_prompt='<!-- End table-->'       ,  )
  _lowercase:			Optional[Any]      =     get_model_table_from_auto_modules()

  if current_table != new_table:
    if overwrite:
      with open(os.path.join(UpperCamelCase       ,  '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__":
   UpperCAmelCase__    :							Optional[int]       		=     argparse.ArgumentParser()
   parser.add_argument('--fix_and_overwrite', action='store_true', help='Whether to fix inconsistencies.')
   UpperCAmelCase__    :							Any       		=     parser.parse_args()

   check_model_table(args.fix_and_overwrite)






def 		_lowerCamelCase					(       UpperCamelCase       ,  UpperCamelCase				)      ->		int:





  """simple docstring"""





  return (input_a, input_a).count(0				) % 2


def 		_lowerCamelCase					(       )      ->		None:





  """simple docstring"""





  assert xor_gate(0       ,  0				) == 0
  assert xor_gate(0       ,  1				) == 1
  assert xor_gate(1       ,  0				) == 1
  assert xor_gate(1       ,  1				) == 0


if __name__ == "__main__":
   print(xor_gate(0, 0))
   print(xor_gate(0, 1))
