
'''simple docstring'''



import torch

from transformers import AutoModel




class   UpperCAmelCase_					(		torch.nn.Module			):






						'''simple docstring'''






						def __init__( self   ,       _lowercase="sayef/fsner-bert-base-uncased"				):

												"""simple docstring"""



												super(__a   ,       self				).__init__()

												_lowerCAmelCase  						=			AutoModel.from_pretrained(__a   ,       return_dict=__a				)
												_lowerCAmelCase  						=			torch.nn.CosineSimilarity(3   ,       1e-08				)
												_lowerCAmelCase  						=			torch.nn.Softmax(dim=1				)




						def  _lowercase     ( self   ,       **_lowercase				):

												"""simple docstring"""



												return self.bert(**__a				).last_hidden_state




						def  _lowercase     ( self   ,       _lowercase				):

												"""simple docstring"""



												return token_embeddings.sum(2   ,       keepdim=__a				)




						def  _lowercase     ( self   ,       _lowercase   ,       _lowercase   ,       _lowercase=1				):

												"""simple docstring"""



												return self.softmax(T * self.cos(__a   ,       __a				)				)




						def  _lowercase     ( self   ,       _lowercase   ,       _lowercase				):

												"""simple docstring"""



												_lowerCAmelCase  						=			W_supports["""sizes"""].tolist()
												_lowerCAmelCase  						=			W_supports["""start_token_id"""].item()
												_lowerCAmelCase  						=			W_supports["""end_token_id"""].item()

												del W_supports["sizes"]
												del W_supports["start_token_id"]
												del W_supports["end_token_id"]

												_lowerCAmelCase  						=			self.BERT(**__a				)
												_lowerCAmelCase  						=			self.BERT(**__a				)

												_lowerCAmelCase  						=			None
												_lowerCAmelCase  						=			None

												_lowerCAmelCase  						=			W_supports["""input_ids"""] == start_token_id
												_lowerCAmelCase  						=			W_supports["""input_ids"""] == end_token_id

												for i, size in enumerate(__a				):
																		if i == 0:
																								_lowerCAmelCase  						=			0
																		else:
																								_lowerCAmelCase  						=			support_sizes[i - 1]

																		_lowerCAmelCase  						=			S[s : s + size][start_token_masks[s : s + size]]
																		_lowerCAmelCase  						=			S[s : s + size][end_token_masks[s : s + size]]

																		_lowerCAmelCase  						=			torch.matmul(q[i]   ,       s_start.T				).sum(1				).softmax(0				)
																		_lowerCAmelCase  						=			torch.matmul(q[i]   ,       s_end.T				).sum(1				).softmax(0				)

																		if p_starts is not None:
																								_lowerCAmelCase  						=			torch.vstack((p_starts, p_start)				)
																								_lowerCAmelCase  						=			torch.vstack((p_ends, p_end)				)
																		else:
																								_lowerCAmelCase  						=			p_start
																								_lowerCAmelCase  						=			p_end

												return p_starts, p_ends


'''simple docstring'''



import logging

from transformers import PretrainedConfig


_lowercase    =		logging.getLogger(__name__)


_lowercase    =		{
    """bertabs-finetuned-cnndm""": """https://huggingface.co/remi/bertabs-finetuned-cnndm-extractive-abstractive-summarization/resolve/main/config.json""",
}




class   UpperCAmelCase_					(		_SCREAMING_SNAKE_CASE			):






						'''simple docstring'''






						_lowercase		:				Optional[Any]									=       '''bertabs'''




						def __init__( self   ,       _lowercase=30_522   ,       _lowercase=512   ,       _lowercase=6   ,       _lowercase=512   ,       _lowercase=8   ,       _lowercase=512   ,       _lowercase=0.2   ,       _lowercase=6   ,       _lowercase=768   ,       _lowercase=8   ,       _lowercase=2_048   ,       _lowercase=0.2   ,       **_lowercase   ,       ):

												"""simple docstring"""



												super().__init__(**_lowercase				)

												_lowerCAmelCase  						=			vocab_size
												_lowerCAmelCase  						=			max_pos

												_lowerCAmelCase  						=			enc_layers
												_lowerCAmelCase  						=			enc_hidden_size
												_lowerCAmelCase  						=			enc_heads
												_lowerCAmelCase  						=			enc_ff_size
												_lowerCAmelCase  						=			enc_dropout

												_lowerCAmelCase  						=			dec_layers
												_lowerCAmelCase  						=			dec_hidden_size
												_lowerCAmelCase  						=			dec_heads
												_lowerCAmelCase  						=			dec_ff_size
												_lowerCAmelCase  						=			dec_dropout
