


'''simple docstring'''


import copy

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


lowerCamelCase__     						=  logging.get_logger(__name__)

lowerCamelCase__     						=  {}






class 						lowerCAmelCase__      (      UpperCAmelCase__						):
			lowerCAmelCase			:						List[str]							 =  "fsmt_decoder"




			def __init__(		self	:  Any						,	lowerCamelCase__	:  Optional[int]=0						,	lowerCamelCase__	:  Tuple=0			) ->Union[str, Any]:



					'''simple docstring'''







					super().__init__()
					_UpperCAmelCase		:							Dict             =   vocab_size
					_UpperCAmelCase		:							Union[str, Any]             =   bos_token_id






class 						lowerCAmelCase__      (      UpperCAmelCase__						):
			lowerCAmelCase			:						int							 =  "fsmt"
			lowerCAmelCase			:						int							 =  {"num_attention_heads": "encoder_attention_heads", "hidden_size": "d_model"}




			def __init__(		self	:  int						,	lowerCamelCase__	:  Union[str, Any]=["en", "de"]						,	lowerCamelCase__	:  Union[str, Any]=4_20_24						,	lowerCamelCase__	:  str=4_20_24						,	lowerCamelCase__	:  List[str]="relu"						,	lowerCamelCase__	:  str=10_24						,	lowerCamelCase__	:  Any=2_00						,	lowerCamelCase__	:  Dict=10_24						,	lowerCamelCase__	:  Any=40_96						,	lowerCamelCase__	:  Optional[Any]=12						,	lowerCamelCase__	:  Dict=16						,	lowerCamelCase__	:  Optional[int]=0.0						,	lowerCamelCase__	:  List[Any]=40_96						,	lowerCamelCase__	:  Optional[Any]=12						,	lowerCamelCase__	:  Optional[Any]=16						,	lowerCamelCase__	:  Dict=0.0						,	lowerCamelCase__	:  int=0.0						,	lowerCamelCase__	:  Dict=0.1						,	lowerCamelCase__	:  Any=0.0						,	lowerCamelCase__	:  Any=0.0_2						,	lowerCamelCase__	:  List[Any]=2						,	lowerCamelCase__	:  Tuple=True						,	lowerCamelCase__	:  Dict=True						,	lowerCamelCase__	:  List[Any]=False						,	lowerCamelCase__	:  str=5						,	lowerCamelCase__	:  Any=1.0						,	lowerCamelCase__	:  List[Any]=False						,	lowerCamelCase__	:  Tuple=True						,	lowerCamelCase__	:  List[str]=1						,	lowerCamelCase__	:  List[str]=0						,	lowerCamelCase__	:  Any=2						,	lowerCamelCase__	:  Tuple=2						,	**lowerCamelCase__	:  str						,	) ->Optional[int]:



					'''simple docstring'''







					_UpperCAmelCase		:							int             =   langs
					_UpperCAmelCase		:							Optional[int]             =   src_vocab_size
					_UpperCAmelCase		:							Union[str, Any]             =   tgt_vocab_size
					_UpperCAmelCase		:							Optional[int]             =   d_model  # encoder_embed_dim and decoder_embed_dim

					_UpperCAmelCase		:							Optional[Any]             =   encoder_ffn_dim
					_UpperCAmelCase		:							List[str]             =   encoder_layers
					_UpperCAmelCase		:							Optional[Any]             =   encoder_attention_heads
					_UpperCAmelCase		:							Union[str, Any]             =   encoder_layerdrop
					_UpperCAmelCase		:							List[Any]             =   decoder_layerdrop
					_UpperCAmelCase		:							Tuple             =   decoder_ffn_dim
					_UpperCAmelCase		:							List[str]             =   decoder_layers
					_UpperCAmelCase		:							Union[str, Any]             =   decoder_attention_heads
					_UpperCAmelCase		:							str             =   max_position_embeddings
					_UpperCAmelCase		:							str             =   init_std  # Normal(0, this parameter)
					_UpperCAmelCase		:							List[str]             =   activation_function

					_UpperCAmelCase		:							str             =   DecoderConfig(vocab_size=lowerCamelCase__						,	bos_token_id=lowerCamelCase__			)
					if "decoder" in common_kwargs:
							del common_kwargs["decoder"]

					_UpperCAmelCase		:							List[Any]             =   scale_embedding  # scale factor will be sqrt(d_model) if True

					# 3 Types of Dropout
					_UpperCAmelCase		:							str             =   attention_dropout
					_UpperCAmelCase		:							int             =   activation_dropout
					_UpperCAmelCase		:							Union[str, Any]             =   dropout

					_UpperCAmelCase		:							str             =   use_cache
					super().__init__(
					    pad_token_id=lowerCamelCase__						,	bos_token_id=lowerCamelCase__						,	eos_token_id=lowerCamelCase__						,	decoder_start_token_id=lowerCamelCase__						,	is_encoder_decoder=lowerCamelCase__						,	tie_word_embeddings=lowerCamelCase__						,	forced_eos_token_id=lowerCamelCase__						,	max_length=lowerCamelCase__						,	num_beams=lowerCamelCase__						,	length_penalty=lowerCamelCase__						,	early_stopping=lowerCamelCase__						,	**lowerCamelCase__						,	)






			def 				lowerCAmelCase__     (		self	:  Optional[Any]			) ->List[str]:



					'''simple docstring'''







					_UpperCAmelCase		:							int             =   copy.deepcopy(self.__dict__			)
					_UpperCAmelCase		:							Union[str, Any]             =   self.decoder.to_dict()
					_UpperCAmelCase		:							Union[str, Any]             =   self.__class__.model_type
					return output







'''simple docstring'''


import io
import json
import subprocess


lowerCamelCase__     						=  [
    ['en', 'ru'],
    ['ru', 'en'],
    ['en', 'de'],
    ['de', 'en'],
]

lowerCamelCase__     						=  8






def 			__lowerCAmelCase			(__lowerCAmelCase   ,			__lowerCAmelCase ):
		_UpperCAmelCase		:							List[str]             =   {}
		for src, tgt in pairs:
				_UpperCAmelCase		:							Tuple             =   F"""{src}-{tgt}"""
				_UpperCAmelCase		:							Tuple             =   F"""sacrebleu -t wmt19 -l {pair} --echo src""".split()
				_UpperCAmelCase		:							List[Any]             =   subprocess.run(__lowerCAmelCase   ,			stdout=subprocess.PIPE ).stdout.decode("utf-8" ).splitlines()
				_UpperCAmelCase		:							Tuple             =   F"""sacrebleu -t wmt19 -l {pair} --echo ref""".split()
				_UpperCAmelCase		:							List[str]             =   subprocess.run(__lowerCAmelCase   ,			stdout=subprocess.PIPE ).stdout.decode("utf-8" ).splitlines()
				_UpperCAmelCase		:							Tuple             =   {"src": src_lines[:n_objs], "tgt": tgt_lines[:n_objs]}
		return text


lowerCamelCase__     						=  get_all_data(pairs, n_objs)
lowerCamelCase__     						=  './fsmt_val_data.json'
with io.open(filename, 'w', encoding='utf-8') as f:
						lowerCamelCase__     						=  json.dump(text, f, indent=2, ensure_ascii=False)



