




from typing import List, Union

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


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

_lowerCamelCase					:     Any					  =  {
    "allenai/led-base-16384": "https://huggingface.co/allenai/led-base-16384/resolve/main/config.json",
    # See all LED models at https://huggingface.co/models?filter=led
}
class 				__snake_case     (_a						):
				lowerCAmelCase__			=   "led"
				lowerCAmelCase__			=   {
				    "num_attention_heads": "encoder_attention_heads",
				    "hidden_size": "d_model",
				    "attention_probs_dropout_prob": "attention_dropout",
				    "initializer_range": "init_std",
				}



				def __init__(					self					:						Tuple						,		_UpperCAmelCase					:						Dict=5_0265						,		_UpperCAmelCase					:						Tuple=1_6384						,		_UpperCAmelCase					:						str=1024						,		_UpperCAmelCase					:						Union[str, Any]=12						,		_UpperCAmelCase					:						Any=4096						,		_UpperCAmelCase					:						Dict=16						,		_UpperCAmelCase					:						Tuple=12						,		_UpperCAmelCase					:						List[Any]=4096						,		_UpperCAmelCase					:						Union[str, Any]=16						,		_UpperCAmelCase					:						List[Any]=0.0						,		_UpperCAmelCase					:						str=0.0						,		_UpperCAmelCase					:						List[str]=True						,		_UpperCAmelCase					:						Union[str, Any]=True						,		_UpperCAmelCase					:						Dict="gelu"						,		_UpperCAmelCase					:						Optional[Any]=1024						,		_UpperCAmelCase					:						Tuple=0.1						,		_UpperCAmelCase					:						Tuple=0.0						,		_UpperCAmelCase					:						int=0.0						,		_UpperCAmelCase					:						List[str]=0.02						,		_UpperCAmelCase					:						Tuple=2						,		_UpperCAmelCase					:						str=0.0						,		_UpperCAmelCase					:						str=1						,		_UpperCAmelCase					:						Tuple=0						,		_UpperCAmelCase					:						Tuple=2						,		_UpperCAmelCase					:						Union[List[int], int] = 512						,		**_UpperCAmelCase					:						List[str]						,		)     ->			str:





								'''simple docstring'''




								_lowerCAmelCase			:			List[Any]        =					vocab_size
								_lowerCAmelCase			:			Any        =					max_encoder_position_embeddings
								_lowerCAmelCase			:			Tuple        =					max_decoder_position_embeddings
								_lowerCAmelCase			:			Optional[int]        =					d_model
								_lowerCAmelCase			:			Optional[Any]        =					encoder_ffn_dim
								_lowerCAmelCase			:			int        =					encoder_layers
								_lowerCAmelCase			:			Union[str, Any]        =					encoder_attention_heads
								_lowerCAmelCase			:			Union[str, Any]        =					decoder_ffn_dim
								_lowerCAmelCase			:			Optional[int]        =					decoder_layers
								_lowerCAmelCase			:			Union[str, Any]        =					decoder_attention_heads
								_lowerCAmelCase			:			Dict        =					dropout
								_lowerCAmelCase			:			List[str]        =					attention_dropout
								_lowerCAmelCase			:			str        =					activation_dropout
								_lowerCAmelCase			:			str        =					activation_function
								_lowerCAmelCase			:			List[Any]        =					init_std
								_lowerCAmelCase			:			List[Any]        =					encoder_layerdrop
								_lowerCAmelCase			:			Tuple        =					decoder_layerdrop
								_lowerCAmelCase			:			Any        =					classifier_dropout
								_lowerCAmelCase			:			Optional[int]        =					use_cache
								_lowerCAmelCase			:			str        =					encoder_layers
								_lowerCAmelCase			:			List[str]        =					attention_window

								super().__init__(
								    pad_token_id=_UpperCAmelCase						,		bos_token_id=_UpperCAmelCase						,		eos_token_id=_UpperCAmelCase						,		is_encoder_decoder=_UpperCAmelCase						,		decoder_start_token_id=_UpperCAmelCase						,		**_UpperCAmelCase						,		)








import io
import json
import subprocess


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

_UpperCAmelCase				       = 8




def        lowerCAmelCase_       (							UpperCamelCase_    ,						UpperCamelCase_     )   ->						Union[str, Any]:
       UpperCamelCase_      				=     {}
       for src, tgt in pairs:
              UpperCamelCase_      				=     F'''{src}-{tgt}'''
              UpperCamelCase_      				=     F'''sacrebleu -t wmt19 -l {pair} --echo src'''.split()
              UpperCamelCase_      				=     subprocess.run(UpperCamelCase_    ,						stdout=subprocess.PIPE     ).stdout.decode("utf-8"     ).splitlines()
              UpperCamelCase_      				=     F'''sacrebleu -t wmt19 -l {pair} --echo ref'''.split()
              UpperCamelCase_      				=     subprocess.run(UpperCamelCase_    ,						stdout=subprocess.PIPE     ).stdout.decode("utf-8"     ).splitlines()
              UpperCamelCase_      				=     {"src": src_lines[:n_objs], "tgt": tgt_lines[:n_objs]}
       return text


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

