


"""simple docstring"""






import copy

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


_lowerCamelCase  =	logging.get_logger(__name__)

_lowerCamelCase  =	{}


class       lowerCamelCase_		(      snake_case__ ):





				"""simple docstring"""







				_lowerCAmelCase   :   Optional[int]   				=       "fsmt_decoder"



				def __init__(    self							,		UpperCAmelCase__=0							,		UpperCAmelCase__=0  ):
								super().__init__()
								SCREAMING_SNAKE_CASE__  				=					vocab_size
								SCREAMING_SNAKE_CASE__  				=					bos_token_id


class       lowerCamelCase_		(      snake_case__ ):





				"""simple docstring"""







				_lowerCAmelCase   :   str   				=       "fsmt"
				_lowerCAmelCase   :   Tuple   				=       {"num_attention_heads": "encoder_attention_heads", "hidden_size": "d_model"}



				def __init__(    self							,		UpperCAmelCase__=["en", "de"]							,		UpperCAmelCase__=4_2024							,		UpperCAmelCase__=4_2024							,		UpperCAmelCase__="relu"							,		UpperCAmelCase__=1024							,		UpperCAmelCase__=200							,		UpperCAmelCase__=1024							,		UpperCAmelCase__=4096							,		UpperCAmelCase__=12							,		UpperCAmelCase__=16							,		UpperCAmelCase__=0.0							,		UpperCAmelCase__=4096							,		UpperCAmelCase__=12							,		UpperCAmelCase__=16							,		UpperCAmelCase__=0.0							,		UpperCAmelCase__=0.0							,		UpperCAmelCase__=0.1							,		UpperCAmelCase__=0.0							,		UpperCAmelCase__=0.02							,		UpperCAmelCase__=2							,		UpperCAmelCase__=True							,		UpperCAmelCase__=True							,		UpperCAmelCase__=False							,		UpperCAmelCase__=5							,		UpperCAmelCase__=1.0							,		UpperCAmelCase__=False							,		UpperCAmelCase__=True							,		UpperCAmelCase__=1							,		UpperCAmelCase__=0							,		UpperCAmelCase__=2							,		UpperCAmelCase__=2							,		**UpperCAmelCase__							,		):
								SCREAMING_SNAKE_CASE__  				=					langs
								SCREAMING_SNAKE_CASE__  				=					src_vocab_size
								SCREAMING_SNAKE_CASE__  				=					tgt_vocab_size
								SCREAMING_SNAKE_CASE__  				=					d_model  # encoder_embed_dim and decoder_embed_dim

								SCREAMING_SNAKE_CASE__  				=					encoder_ffn_dim
								SCREAMING_SNAKE_CASE__  				=					encoder_layers
								SCREAMING_SNAKE_CASE__  				=					encoder_attention_heads
								SCREAMING_SNAKE_CASE__  				=					encoder_layerdrop
								SCREAMING_SNAKE_CASE__  				=					decoder_layerdrop
								SCREAMING_SNAKE_CASE__  				=					decoder_ffn_dim
								SCREAMING_SNAKE_CASE__  				=					decoder_layers
								SCREAMING_SNAKE_CASE__  				=					decoder_attention_heads
								SCREAMING_SNAKE_CASE__  				=					max_position_embeddings
								SCREAMING_SNAKE_CASE__  				=					init_std  # Normal(0, this parameter)
								SCREAMING_SNAKE_CASE__  				=					activation_function

								SCREAMING_SNAKE_CASE__  				=					DecoderConfig(vocab_size=lowercase_							,		bos_token_id=lowercase_  )
								if "decoder" in common_kwargs:
												del common_kwargs["decoder"]

								SCREAMING_SNAKE_CASE__  				=					scale_embedding  # scale factor will be sqrt(d_model) if True

								# 3 Types of Dropout
								SCREAMING_SNAKE_CASE__  				=					attention_dropout
								SCREAMING_SNAKE_CASE__  				=					activation_dropout
								SCREAMING_SNAKE_CASE__  				=					dropout

								SCREAMING_SNAKE_CASE__  				=					use_cache
								super().__init__(
								    pad_token_id=lowercase_							,		bos_token_id=lowercase_							,		eos_token_id=lowercase_							,		decoder_start_token_id=lowercase_							,		is_encoder_decoder=lowercase_							,		tie_word_embeddings=lowercase_							,		forced_eos_token_id=lowercase_							,		max_length=lowercase_							,		num_beams=lowercase_							,		length_penalty=lowercase_							,		early_stopping=lowercase_							,		**lowercase_							,		)






				def 	lowerCAmelCase__		(    self  ):
								SCREAMING_SNAKE_CASE__  				=					copy.deepcopy(self.__dict__  )
								SCREAMING_SNAKE_CASE__  				=					self.decoder.to_dict()
								SCREAMING_SNAKE_CASE__  				=					self.__class__.model_type
								return output



"""simple docstring"""





from __future__ import annotations



def 							_lowerCAmelCase   (    UpperCAmelCase  :				list[int]   ,				UpperCAmelCase  :				int					):


					'''simple docstring'''






					UpperCamelCase__		:     dict[int, int]								={}
					for index, val in enumerate(UpperCAmelCase					):
										UpperCamelCase__		:     List[Any]								=target - val
										if compl in chk_map:
															return [chk_map[compl], index]
										UpperCamelCase__		:     Any								=index
					return []


if __name__ == "__main__":
				import doctest

				doctest.testmod()
				print(F'''{two_sum([2, 7, 1_1, 1_5], 9) = }''')


