

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
_a			=       '''src/diffusers'''
_a			=       '''docs/source/en'''
_a			=       '''.'''







def _a			(	SCREAMING_SNAKE_CASE		:      Tuple   , SCREAMING_SNAKE_CASE		:      Union[str, Any]   , SCREAMING_SNAKE_CASE		:      Optional[int]		)   ->   Optional[Any]:

 """simple docstring"""






 with open(SCREAMING_SNAKE_CASE   , 'r'   , encoding='utf-8'   , newline='\n'		) as f:
  __lowerCAmelCase:       Tuple            =				f.readlines()
 # Find the start prompt.
 __lowerCAmelCase:       Tuple            =				0
 while not lines[start_index].startswith(SCREAMING_SNAKE_CASE		):
  start_index += 1
 start_index += 1

 __lowerCAmelCase:       List[str]            =				start_index
 while not lines[end_index].startswith(SCREAMING_SNAKE_CASE		):
  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 |
_a			=       '''Model|Encoder|Decoder|ForConditionalGeneration'''
# Regexes that match TF/Flax/PT model names.
_a			=       re.compile(R'''TF(.*)(?:Model|Encoder|Decoder|ForConditionalGeneration)''')
_a			=       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.
_a			=       re.compile(R'''(.*)(?:Model|Encoder|Decoder|ForConditionalGeneration)''')


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







def _a			(	SCREAMING_SNAKE_CASE		:      Dict		)   ->   int:

 """simple docstring"""






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







def _a			(	SCREAMING_SNAKE_CASE		:      Optional[Any]   , SCREAMING_SNAKE_CASE		:      str		)   ->   str:

 """simple docstring"""






 __lowerCAmelCase:       Any            =				2 if text == '✅' or text == '❌' else len(SCREAMING_SNAKE_CASE		)
 __lowerCAmelCase:       Dict            =				(width - text_length) // 2
 __lowerCAmelCase:       Optional[int]            =				width - text_length - left_indent
 return " " * left_indent + text + " " * right_indent







def _a			(	)   ->   int:

 """simple docstring"""






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

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

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

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

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

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







def _a			(	SCREAMING_SNAKE_CASE		:      List[Any]=False		)   ->   Tuple:

 """simple docstring"""






 __lowerCAmelCase:       List[str]            =				_find_text_in_file(
     filename=os.path.join(SCREAMING_SNAKE_CASE   , 'index.mdx'		)   , start_prompt='<!--This table is updated automatically from the auto modules'   , end_prompt='<!-- End table-->'   , )
 __lowerCAmelCase:       List[str]            =				get_model_table_from_auto_modules()

 if current_table != new_table:
  if overwrite:
   with open(os.path.join(SCREAMING_SNAKE_CASE   , '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__":
  _a			=       argparse.ArgumentParser()
  parser.add_argument('''--fix_and_overwrite''', action='''store_true''', help='''Whether to fix inconsistencies.''')
  _a			=       parser.parse_args()

  check_model_table(args.fix_and_overwrite)








from __future__ import annotations

from collections.abc import Iterable
from dataclasses import dataclass
from typing import Any






class 							A_			:
     _lowercase      :					Any       =     ('_front', '_back', '_len')






     @dataclass
     class 							A_			:
          _lowercase      :					Any       =     None
          _lowercase      :					Deque._Node | None       =     None
          _lowercase      :					Deque._Node | None       =     None







     class 							A_			:
          _lowercase      :					Optional[Any]       =     ('_cur',)


          def __init__(							self      :		Any      ,  UpperCAmelCase      :		Deque._Node | None )							->     None:
           __lowerCAmelCase:       int            =				cur


          def __iter__(							self      :		int )							->     Deque._Iterator:
           return self


          def   UpperCAmelCase  (							self      :		Optional[Any] )							->     Any:
           if self._cur is None:
            # finished iterating
            raise StopIteration
           __lowerCAmelCase:       Optional[Any]            =				self._cur.val
           __lowerCAmelCase:       List[Any]            =				self._cur.next_node

           return val







     def __init__(							self      :		Any      ,  UpperCAmelCase      :		Iterable[Any] | None = None )							->     None:
      __lowerCAmelCase:       Any            =				None
      __lowerCAmelCase:       Any            =				None
      __lowerCAmelCase:       int            =				0

      if iterable is not None:
       # append every value to the deque
       for val in iterable:
        self.append(UpperCAmelCase )


     def   UpperCAmelCase  (							self      :		List[str]      ,  UpperCAmelCase      :		Any )							->     None:
      __lowerCAmelCase:       Union[str, Any]            =				self._Node(UpperCAmelCase      ,  UpperCAmelCase      ,  UpperCAmelCase )
      if self.is_empty():
       # front = back
       __lowerCAmelCase:       int            =				node
       __lowerCAmelCase:       List[Any]            =				1
      else:
       # connect nodes
       __lowerCAmelCase:       Optional[Any]            =				node
       __lowerCAmelCase:       str            =				self._back
       __lowerCAmelCase:       Optional[int]            =				node  # assign new back to the new node

       self._len += 1

       # make sure there were no errors
       assert not self.is_empty(), "Error on appending value."


     def   UpperCAmelCase  (							self      :		Optional[int]      ,  UpperCAmelCase      :		Any )							->     None:
      __lowerCAmelCase:       int            =				self._Node(UpperCAmelCase      ,  UpperCAmelCase      ,  UpperCAmelCase )
      if self.is_empty():
       # front = back
       __lowerCAmelCase:       Union[str, Any]            =				node
       __lowerCAmelCase:       str            =				1
      else:
       # connect nodes
       __lowerCAmelCase:       Dict            =				self._front
       __lowerCAmelCase:       Optional[int]            =				node
       __lowerCAmelCase:       Any            =				node  # assign new front to the new node

       self._len += 1

       # make sure there were no errors
       assert not self.is_empty(), "Error on appending value."


     def   UpperCAmelCase  (							self      :		Union[str, Any]      ,  UpperCAmelCase      :		Iterable[Any] )							->     None:
      for val in iterable:
       self.append(UpperCAmelCase )


     def   UpperCAmelCase  (							self      :		List[str]      ,  UpperCAmelCase      :		Iterable[Any] )							->     None:
      for val in iterable:
       self.appendleft(UpperCAmelCase )


     def   UpperCAmelCase  (							self      :		Dict )							->     Any:
      assert not self.is_empty(), "Deque is empty."

      __lowerCAmelCase:       Optional[int]            =				self._back
      __lowerCAmelCase:       Optional[Any]            =				self._back.prev_node  # set new back
      # drop the last node - python will deallocate memory automatically
      __lowerCAmelCase:       Optional[int]            =				None

      self._len -= 1

      return topop.val


     def   UpperCAmelCase  (							self      :		Dict )							->     Any:
      assert not self.is_empty(), "Deque is empty."

      __lowerCAmelCase:       Optional[Any]            =				self._front
      __lowerCAmelCase:       Optional[Any]            =				self._front.next_node  # set new front and drop the first node
      __lowerCAmelCase:       int            =				None

      self._len -= 1

      return topop.val


     def   UpperCAmelCase  (							self      :		Dict )							->     bool:
      return self._front is None


     def __len__(							self      :		List[Any] )							->     int:
      return self._len


     def __eq__(							self      :		Union[str, Any]      ,  UpperCAmelCase      :		object )							->     bool:

      if not isinstance(UpperCAmelCase      ,  UpperCAmelCase ):
       return NotImplemented

      __lowerCAmelCase:       List[Any]            =				self._front
      __lowerCAmelCase:       Dict            =				other._front

      # if the length of the dequeues are not the same, they are not equal
      if len(self ) != len(UpperCAmelCase ):
       return False

      while me is not None and oth is not None:
       # compare every value
       if me.val != oth.val:
        return False
       __lowerCAmelCase:       Optional[Any]            =				me.next_node
       __lowerCAmelCase:       Optional[Any]            =				oth.next_node

      return True


     def __iter__(							self      :		Tuple )							->     Deque._Iterator:
      return Deque._Iterator(self._front )


     def __repr__(							self      :		Optional[Any] )							->     str:
      __lowerCAmelCase:       Union[str, Any]            =				[]
      __lowerCAmelCase:       Optional[int]            =				self._front
      while aux is not None:
       # append the values in a list to display
       values_list.append(aux.val )
       __lowerCAmelCase:       Any            =				aux.next_node

      return F'''[{', '.join(repr(UpperCAmelCase ) for val in values_list )}]'''


if __name__ == "__main__":
  import doctest

  doctest.testmod()





