


'''simple docstring'''






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





def lowerCamelCase__			(						__lowerCamelCase       :							List[Any]       ,    __lowerCamelCase       :							List[Any]       ,    __lowerCamelCase       :							List[Any]							):







   '''simple docstring'''




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

   _UpperCAmelCase   :   Dict							    =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 |
lowercase							='Model|Encoder|Decoder|ForConditionalGeneration'
# Regexes that match TF/Flax/PT model names.
lowercase							=re.compile(r'TF(.*)(?:Model|Encoder|Decoder|ForConditionalGeneration)')
lowercase							=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.
lowercase							=re.compile(r'(.*)(?:Model|Encoder|Decoder|ForConditionalGeneration)')


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





def lowerCamelCase__			(						__lowerCamelCase       :							List[Any]							):







   '''simple docstring'''




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





def lowerCamelCase__			(						__lowerCamelCase       :							List[Any]       ,    __lowerCamelCase       :							Any							):







   '''simple docstring'''




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





def lowerCamelCase__			(						):







   '''simple docstring'''




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

   # Let's lookup through all diffusers object (once).
   for attr_name in dir(__UpperCamelCase							):
      _UpperCAmelCase   :   Tuple							    =None
      if attr_name.endswith('Tokenizer'							):
         _UpperCAmelCase   :   str							    =slow_tokenizers
         _UpperCAmelCase   :   int							    =attr_name[:-9]
      elif attr_name.endswith('TokenizerFast'							):
         _UpperCAmelCase   :   List[Any]							    =fast_tokenizers
         _UpperCAmelCase   :   List[str]							    =attr_name[:-1_3]
      elif _re_tf_models.match(__UpperCamelCase							) is not None:
         _UpperCAmelCase   :   Any							    =tf_models
         _UpperCAmelCase   :   str							    =_re_tf_models.match(__UpperCamelCase							).groups()[0]
      elif _re_flax_models.match(__UpperCamelCase							) is not None:
         _UpperCAmelCase   :   Tuple							    =flax_models
         _UpperCAmelCase   :   Any							    =_re_flax_models.match(__UpperCamelCase							).groups()[0]
      elif _re_pt_models.match(__UpperCamelCase							) is not None:
         _UpperCAmelCase   :   str							    =pt_models
         _UpperCAmelCase   :   Tuple							    =_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():
               _UpperCAmelCase   :   int							    =True
               break
            # Try again after removing the last word in the name
            _UpperCAmelCase   :   str							    =''.join(camel_case_split(__UpperCamelCase							)[:-1]							)

    # Let's build that table!
   _UpperCAmelCase   :   Optional[Any]							    =list(model_name_to_config.keys()							)
   model_names.sort(key=str.lower							)
   _UpperCAmelCase   :   Union[str, 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).
   _UpperCAmelCase   :   Optional[Any]							    =[len(__UpperCamelCase							) + 2 for c in columns]
   _UpperCAmelCase   :   str							    =max([len(__UpperCamelCase							) for name in model_names]							) + 2

   # Build the table per se
   _UpperCAmelCase   :   Optional[int]							    ='|' + '|'.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"

   _UpperCAmelCase   :   str							    ={True: '✅', False: '❌'}
   for name in model_names:
      _UpperCAmelCase   :   Tuple							    =model_name_to_prefix[name]
      _UpperCAmelCase   :   Tuple							    =[
          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__			(						__lowerCamelCase       :							Dict=False							):







   '''simple docstring'''




   _UpperCAmelCase    ,       _UpperCAmelCase    ,       _UpperCAmelCase    ,       _UpperCAmelCase   :   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-->'       ,    )
   _UpperCAmelCase   :   Union[str, 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__":
 lowercase							=argparse.ArgumentParser()
 parser.add_argument('--fix_and_overwrite', action='store_true', help='Whether to fix inconsistencies.')
 lowercase							=parser.parse_args()

 check_model_table(args.fix_and_overwrite)



"""simple docstring"""


import enum
import inspect
import warnings
from functools import wraps
from typing import Callable, Optional

from .logging import get_logger


__A       						=       set()
__A       						=       get_logger(__name__)



def     _lowerCamelCase(__UpperCamelCase = None       )				-> Optional[Any]:

	def decorator(__UpperCamelCase       ):
		global _emitted_deprecation_warnings

		if inspect.isclass(__UpperCamelCase       ):
			_lowerCAmelCase								=deprecated_class_or_function.__init__
			_lowerCAmelCase								=deprecated_class_or_function.__name__
		else:
			_lowerCAmelCase								=deprecated_class_or_function
			_lowerCAmelCase								=deprecated_function.__name__
			# Support deprecating __init__ class method: class name instead
			_lowerCAmelCase								=name if name != """__init__""" else deprecated_function.__qualname__.split("""."""       )[-2]

		_lowerCAmelCase								=(
		    F'''{name} is deprecated and will be removed in the next major version of datasets.''' + F''' {help_message}'''
		    if help_message
		    else """"""
		)

		@wraps(__UpperCamelCase       )
		def wrapper(*__UpperCamelCase    , **__UpperCamelCase       ):
			_lowerCAmelCase								=hash(__UpperCamelCase       )
			if func_hash not in _emitted_deprecation_warnings:
				warnings.warn(__UpperCamelCase    , category=__UpperCamelCase    , stacklevel=2       )
				_emitted_deprecation_warnings.add(__UpperCamelCase       )
			return deprecated_function(*__UpperCamelCase    , **__UpperCamelCase       )

		_lowerCAmelCase								="""deprecated"""

		if inspect.isclass(__UpperCamelCase       ):
			_lowerCAmelCase								=wrapper
			return deprecated_class_or_function
		else:
			return wrapper

	return decorator







class 		lowerCamelCase__					(					enum.EnumMeta				):





			'''simple docstring'''



			def __getattribute__(							cls     ,     __UpperCAmelCase  ) ->     Optional[int]:
				_lowerCAmelCase								=super().__getattribute__(__UpperCAmelCase  )
				if isinstance(__UpperCAmelCase     ,     enum.Enum  ) and obj._on_access:
					obj._on_access()
				return obj



			def __getitem__(							cls     ,     __UpperCAmelCase  ) ->     List[str]:
				_lowerCAmelCase								=super().__getitem__(__UpperCAmelCase  )
				if member._on_access:
					member._on_access()
				return member



			def __call__(							cls     ,     __UpperCAmelCase     ,     __UpperCAmelCase=None     ,     *, __UpperCAmelCase=None     ,     __UpperCAmelCase=None     ,     __UpperCAmelCase=None     ,     __UpperCAmelCase=1  ) ->     Optional[Any]:
				_lowerCAmelCase								=super().__call__(__UpperCAmelCase     ,     __UpperCAmelCase     ,     module=__UpperCAmelCase     ,     qualname=__UpperCAmelCase     ,     type=__UpperCAmelCase     ,     start=__UpperCAmelCase  )
				if isinstance(__UpperCAmelCase     ,     enum.Enum  ) and obj._on_access:
					obj._on_access()
				return obj







class 		lowerCamelCase__					(					enum.Enum ,	metaclass=__magic_name__				):





			'''simple docstring'''



			def __new__(							cls     ,     __UpperCAmelCase  ) ->     Optional[int]:
				_lowerCAmelCase								=object.__new__(cls  )
				_lowerCAmelCase								=value
				_lowerCAmelCase								=member.deprecate
				return member



			@property
			def 					_lowerCAmelCase		(							self  ) ->     List[Any]:
				return ""



			def 					_lowerCAmelCase		(							self  ) ->     Tuple:
				_lowerCAmelCase								=f''' {self.help_message}''' if self.help_message else """"""
				warnings.warn(
				    f'''\'{self.__objclass__.__name__}\' is deprecated and will be removed in the next major version of datasets.'''
				    + help_message     ,     __UpperCAmelCase     ,     stacklevel=3     ,     )



