

'''simple docstring'''





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


_SCREAMING_SNAKE_CASE  :						int         =    logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE  :						Dict         =    {
    "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  UpperCAmelCase__	( A__ ):






  """simple docstring"""


  a     =      "luke"






  def __init__(							self		:	int			,     __lowerCamelCase		:	int=5_0267			,     __lowerCamelCase		:	Any=50_0000			,     __lowerCamelCase		:	Any=768			,     __lowerCamelCase		:	List[Any]=256			,     __lowerCamelCase		:	Optional[int]=12			,     __lowerCamelCase		:	Optional[int]=12			,     __lowerCamelCase		:	Tuple=3072			,     __lowerCamelCase		:	Dict="gelu"			,     __lowerCamelCase		:	List[str]=0.1			,     __lowerCamelCase		:	Tuple=0.1			,     __lowerCamelCase		:	List[str]=512			,     __lowerCamelCase		:	Dict=2			,     __lowerCamelCase		:	Dict=0.02			,     __lowerCamelCase		:	Tuple=1e-12			,     __lowerCamelCase		:	Optional[int]=True			,     __lowerCamelCase		:	Optional[Any]=None			,     __lowerCamelCase		:	List[str]=1			,     __lowerCamelCase		:	str=0			,     __lowerCamelCase		:	List[str]=2			,     **__lowerCamelCase		:	Any			,     )	->							List[str]:
       super().__init__(pad_token_id=UpperCAmelCase__			,     bos_token_id=UpperCAmelCase__			,     eos_token_id=UpperCAmelCase__			,     **UpperCAmelCase__      )

       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





def        UpperCAmelCase_     (		_A       ):





     '''simple docstring'''




     SCREAMING_SNAKE_CASE__					=					[]
     for data in source_data:
          for i, el in enumerate(_A       ):
               if len(_A       ) < i + 1:
                    data_lists.append([]       )
               data_lists[i].append(float(_A       )       )
     return data_lists
def        UpperCAmelCase_     (		_A   ,	_A       ):





     '''simple docstring'''




     SCREAMING_SNAKE_CASE__					=					[]
     for dlist, weight in zip(_A   ,	_A       ):
          SCREAMING_SNAKE_CASE__					=					min(_A       )
          SCREAMING_SNAKE_CASE__					=					max(_A       )

          SCREAMING_SNAKE_CASE__					=					[]
          # for weight 0 score is 1 - actual score
          if weight == 0:
               for item in dlist:
                    try:
                         score.append(1 - ((item - mind) / (maxd - mind))       )
                    except ZeroDivisionError:
                         score.append(1       )

          elif weight == 1:
               for item in dlist:
                    try:
                         score.append((item - mind) / (maxd - mind)       )
                    except ZeroDivisionError:
                         score.append(0       )

        # weight not 0 or 1
          else:
               SCREAMING_SNAKE_CASE__					=					F'''Invalid weight of {weight:f} provided'''
               raise ValueError(_A       )

          score_lists.append(_A       )

     return score_lists
def        UpperCAmelCase_     (		_A       ):





     '''simple docstring'''




     SCREAMING_SNAKE_CASE__					=					[0 for i in range(len(score_lists[0]       )       )]

     for slist in score_lists:
          for j, ele in enumerate(_A       ):
               SCREAMING_SNAKE_CASE__					=					final_scores[j] + ele

     return final_scores







def        UpperCAmelCase_     (		_A   ,	_A       ):





     '''simple docstring'''




     SCREAMING_SNAKE_CASE__					=					get_data(_A       )
     SCREAMING_SNAKE_CASE__					=					calculate_each_score(_A   ,	_A       )
     SCREAMING_SNAKE_CASE__					=					generate_final_scores(_A       )

     # append scores to source data
     for i, ele in enumerate(_A       ):
          source_data[i].append(_A       )

     return source_data


