
'''simple docstring'''



from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCamelCase__      :		Optional[Any]       							=  logging.get_logger(__name__)

UpperCamelCase__      :		List[str]       							=  {
    "studio-ousia/luke-base": "https://huggingface.co/studio-ousia/luke-base/resolve/main/config.json",
    "studio-ousia/luke-large": "https://huggingface.co/studio-ousia/luke-large/resolve/main/config.json",
}

class    _a				(_lowerCamelCase):





       """simple docstring"""




       SCREAMING_SNAKE_CASE      =  'luke'






       def __init__(							self       ,							A__=5_02_67       ,							A__=50_00_00       ,							A__=7_68       ,							A__=2_56       ,							A__=12       ,							A__=12       ,							A__=30_72       ,							A__="gelu"       ,							A__=0.1       ,							A__=0.1       ,							A__=5_12       ,							A__=2       ,							A__=0.02       ,							A__=1E-12       ,							A__=True       ,							A__=None       ,							A__=1       ,							A__=0       ,							A__=2       ,							**A__       ,							)    ->			int:
          super().__init__(pad_token_id=A__       ,							bos_token_id=A__       ,							eos_token_id=A__       ,							**A__      )

          _SCREAMING_SNAKE_CASE      =				vocab_size
          _SCREAMING_SNAKE_CASE      =				entity_vocab_size
          _SCREAMING_SNAKE_CASE      =				hidden_size
          _SCREAMING_SNAKE_CASE      =				entity_emb_size
          _SCREAMING_SNAKE_CASE      =				num_hidden_layers
          _SCREAMING_SNAKE_CASE      =				num_attention_heads
          _SCREAMING_SNAKE_CASE      =				hidden_act
          _SCREAMING_SNAKE_CASE      =				intermediate_size
          _SCREAMING_SNAKE_CASE      =				hidden_dropout_prob
          _SCREAMING_SNAKE_CASE      =				attention_probs_dropout_prob
          _SCREAMING_SNAKE_CASE      =				max_position_embeddings
          _SCREAMING_SNAKE_CASE      =				type_vocab_size
          _SCREAMING_SNAKE_CASE      =				initializer_range
          _SCREAMING_SNAKE_CASE      =				layer_norm_eps
          _SCREAMING_SNAKE_CASE      =				use_entity_aware_attention
          _SCREAMING_SNAKE_CASE      =				classifier_dropout






'''simple docstring'''



UpperCamelCase__      :		Dict       							=  {
    "a": "AAAAA",
    "b": "AAAAB",
    "c": "AAABA",
    "d": "AAABB",
    "e": "AABAA",
    "f": "AABAB",
    "g": "AABBA",
    "h": "AABBB",
    "i": "ABAAA",
    "j": "BBBAA",
    "k": "ABAAB",
    "l": "ABABA",
    "m": "ABABB",
    "n": "ABBAA",
    "o": "ABBAB",
    "p": "ABBBA",
    "q": "ABBBB",
    "r": "BAAAA",
    "s": "BAAAB",
    "t": "BAABA",
    "u": "BAABB",
    "v": "BBBAB",
    "w": "BABAA",
    "x": "BABAB",
    "y": "BABBA",
    "z": "BABBB",
    " ": " ",
}


UpperCamelCase__      :		str       							=  {value: key for key, value in encode_dict.items()}
def    lowerCAmelCase_	(				SCREAMING_SNAKE_CASE_						)     ->     str:




   """simple docstring"""
   _SCREAMING_SNAKE_CASE      =				""""""
   for letter in word.lower():
      if letter.isalpha() or letter == " ":
         encoded += encode_dict[letter]
      else:
         raise Exception("""encode() accepts only letters of the alphabet and spaces"""						)
   return encoded
def    lowerCAmelCase_	(				SCREAMING_SNAKE_CASE_						)     ->     str:




   """simple docstring"""
   if set(SCREAMING_SNAKE_CASE_						) - {"A", "B", " "} != set():
      raise Exception("""decode() accepts only 'A', 'B' and spaces"""						)
   _SCREAMING_SNAKE_CASE      =				""""""
   for word in coded.split():
      while len(SCREAMING_SNAKE_CASE_						) != 0:
         decoded += decode_dict[word[:5]]
         _SCREAMING_SNAKE_CASE      =				word[5:]
      decoded += " "
   return decoded.strip()


if __name__ == "__main__":
     from doctest import testmod

     testmod()






