"""simple docstring"""
def 		__a  (      _SCREAMING_SNAKE_CASE  )      ->str:
  a__:	Any     				=      word.upper()
  a__:	Union[str, Any]     				=      0
  a__:	Tuple     				=      {}
  a__:	Tuple     				=      []

  for letter in word:
    if letter not in letter_nums:
      a__:	Dict     				=      str(_SCREAMING_SNAKE_CASE  )
      next_num += 1
    word_pattern.append(letter_nums[letter]  )
  return ".".join(_SCREAMING_SNAKE_CASE  )


if __name__ == "__main__":
 import pprint
 import time

 lowercase__   			=      time.time()
 with open('dictionary.txt') as in_file:
  lowercase__   			=      in_file.read().splitlines()

 lowercase__   			=      {}
 for word in word_list:
  lowercase__   			=      get_word_pattern(word)
  if pattern in all_patterns:
   all_patterns[pattern].append(word)
  else:
   lowercase__   			=      [word]

 with open('word_patterns.txt', 'w') as out_file:
  out_file.write(pprint.pformat(all_patterns))

 lowercase__   			=      round(time.time() - start_time, 2)
 print(f"Done!  {len(all_patterns):,} word patterns found in {total_time} seconds.")
 # Done!  9,581 word patterns found in 0.58 seconds.



"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowercase__   			=      logging.get_logger(__name__)

lowercase__   			=      {
    'tau/splinter-base': 'https://huggingface.co/tau/splinter-base/resolve/main/config.json',
    'tau/splinter-base-qass': 'https://huggingface.co/tau/splinter-base-qass/resolve/main/config.json',
    'tau/splinter-large': 'https://huggingface.co/tau/splinter-large/resolve/main/config.json',
    'tau/splinter-large-qass': 'https://huggingface.co/tau/splinter-large-qass/resolve/main/config.json',
    # See all Splinter models at https://huggingface.co/models?filter=splinter
}




class   __snake_case			(	__lowerCAmelCase							):
      a__								=						"""splinter"""



      def __init__(		self       ,     lowercase=3_05_22       ,     lowercase=7_68       ,     lowercase=12       ,     lowercase=12       ,     lowercase=30_72       ,     lowercase="gelu"       ,     lowercase=0.1       ,     lowercase=0.1       ,     lowercase=5_12       ,     lowercase=2       ,     lowercase=0.02       ,     lowercase=1e-12       ,     lowercase=True       ,     lowercase=0       ,     lowercase=1_04       ,     **lowercase       ,     )      ->     Union[str, Any]:





        '''simple docstring'''





        super().__init__(pad_token_id=lowercase       ,     **lowercase)

        a__:	Dict     				=      vocab_size
        a__:	Dict     				=      max_position_embeddings
        a__:	Dict     				=      hidden_size
        a__:	int     				=      num_hidden_layers
        a__:	str     				=      num_attention_heads
        a__:	Dict     				=      intermediate_size
        a__:	Tuple     				=      hidden_act
        a__:	Optional[Any]     				=      hidden_dropout_prob
        a__:	List[Any]     				=      attention_probs_dropout_prob
        a__:	Tuple     				=      initializer_range
        a__:	str     				=      type_vocab_size
        a__:	Optional[Any]     				=      layer_norm_eps
        a__:	Any     				=      use_cache
        a__:	List[Any]     				=      question_token_id


