import functools
import operator

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


_snake_case			=						logging.get_logger(__name__)

_snake_case			=						{
    '''facebook/hubert-base-ls960''': '''https://huggingface.co/facebook/hubert-base-ls960/resolve/main/config.json''',
    # See all Hubert models at https://huggingface.co/models?filter=hubert
}




class 					_snake_case						(						_lowercase				):
					lowerCamelCase__:		int  =     "hubert"
					def __init__(  self:				Tuple	,  __lowerCamelCase:				List[Any]=32	,  __lowerCamelCase:				Dict=7_68	,  __lowerCamelCase:				Optional[int]=12	,  __lowerCamelCase:				Any=12	,  __lowerCamelCase:				Optional[int]=30_72	,  __lowerCamelCase:				List[Any]="gelu"	,  __lowerCamelCase:				List[Any]=0.1	,  __lowerCamelCase:				Tuple=0.1	,  __lowerCamelCase:				Optional[int]=0.1	,  __lowerCamelCase:				Union[str, Any]=True	,  __lowerCamelCase:				Any=0.0	,  __lowerCamelCase:				Tuple=0.1	,  __lowerCamelCase:				Tuple=0.1	,  __lowerCamelCase:				List[Any]=0.02	,  __lowerCamelCase:				List[str]=1e-5	,  __lowerCamelCase:				List[str]="group"	,  __lowerCamelCase:				List[str]="gelu"	,  __lowerCamelCase:				str=(5_12, 5_12, 5_12, 5_12, 5_12, 5_12, 5_12)	,  __lowerCamelCase:				Any=(5, 2, 2, 2, 2, 2, 2)	,  __lowerCamelCase:				int=(10, 3, 3, 3, 3, 2, 2)	,  __lowerCamelCase:				List[str]=False	,  __lowerCamelCase:				List[Any]=1_28	,  __lowerCamelCase:				Optional[int]=16	,  __lowerCamelCase:				int=False	,  __lowerCamelCase:				Any=True	,  __lowerCamelCase:				Tuple=0.05	,  __lowerCamelCase:				int=10	,  __lowerCamelCase:				List[Any]=2	,  __lowerCamelCase:				Union[str, Any]=0.0	,  __lowerCamelCase:				Optional[Any]=10	,  __lowerCamelCase:				Dict=0	,  __lowerCamelCase:				str="sum"	,  __lowerCamelCase:				Union[str, Any]=False	,  __lowerCamelCase:				Union[str, Any]=False	,  __lowerCamelCase:				Optional[Any]=2_56	,  __lowerCamelCase:				str=0	,  __lowerCamelCase:				int=1	,  __lowerCamelCase:				Dict=2	,  **__lowerCamelCase:				str	,  )    ->				List[str]:
												super().__init__(**__lowerCamelCase	,  pad_token_id=__lowerCamelCase	,  bos_token_id=__lowerCamelCase	,  eos_token_id=__lowerCamelCase     )
												__UpperCAmelCase						:			List[Any]         =   hidden_size
												__UpperCAmelCase						:			str         =   feat_extract_norm
												__UpperCAmelCase						:			Dict         =   feat_extract_activation
												__UpperCAmelCase						:			Any         =   list(__lowerCamelCase     )
												__UpperCAmelCase						:			str         =   list(__lowerCamelCase     )
												__UpperCAmelCase						:			Optional[int]         =   list(__lowerCamelCase     )
												__UpperCAmelCase						:			Optional[Any]         =   conv_bias
												__UpperCAmelCase						:			List[Any]         =   num_conv_pos_embeddings
												__UpperCAmelCase						:			Optional[int]         =   num_conv_pos_embedding_groups
												__UpperCAmelCase						:			Any         =   len(self.conv_dim     )
												__UpperCAmelCase						:			Dict         =   num_hidden_layers
												__UpperCAmelCase						:			Optional[Any]         =   intermediate_size
												__UpperCAmelCase						:			Optional[int]         =   hidden_act
												__UpperCAmelCase						:			Optional[Any]         =   num_attention_heads
												__UpperCAmelCase						:			List[str]         =   hidden_dropout
												__UpperCAmelCase						:			Any         =   attention_dropout
												__UpperCAmelCase						:			Union[str, Any]         =   activation_dropout
												__UpperCAmelCase						:			Dict         =   feat_proj_layer_norm
												__UpperCAmelCase						:			List[Any]         =   feat_proj_dropout
												__UpperCAmelCase						:			Tuple         =   final_dropout
												__UpperCAmelCase						:			Optional[int]         =   layerdrop
												__UpperCAmelCase						:			Union[str, Any]         =   layer_norm_eps
												__UpperCAmelCase						:			List[Any]         =   initializer_range
												__UpperCAmelCase						:			List[Any]         =   vocab_size
												__UpperCAmelCase						:			Optional[int]         =   do_stable_layer_norm
												__UpperCAmelCase						:			Union[str, Any]         =   use_weighted_layer_sum
												__UpperCAmelCase						:			List[Any]         =   classifier_proj_size

												if (
												    (len(self.conv_stride     ) != self.num_feat_extract_layers)
												    or (len(self.conv_kernel     ) != self.num_feat_extract_layers)
												    or (len(self.conv_dim     ) != self.num_feat_extract_layers)
												):
																			raise ValueError(
																			    "Configuration for convolutional layers is incorrect. It is required that `len(config.conv_dim)` =="
																			    " `len(config.conv_stride)` == `len(config.conv_kernel)`, but is `len(config.conv_dim) ="
																			    f''' {len(self.conv_dim     )}`, `len(config.conv_stride) = {len(self.conv_stride     )}`,'''
																			    f''' `len(config.conv_kernel) = {len(self.conv_kernel     )}`.'''     )

												# fine-tuning config parameters for SpecAugment: https://arxiv.org/abs/1904.08779
												__UpperCAmelCase						:			List[Any]         =   apply_spec_augment
												__UpperCAmelCase						:			str         =   mask_time_prob
												__UpperCAmelCase						:			Optional[int]         =   mask_time_length
												__UpperCAmelCase						:			Optional[int]         =   mask_time_min_masks
												__UpperCAmelCase						:			Optional[Any]         =   mask_feature_prob
												__UpperCAmelCase						:			List[str]         =   mask_feature_length
												__UpperCAmelCase						:			Optional[Any]         =   mask_feature_min_masks

												# ctc loss
												__UpperCAmelCase						:			Optional[int]         =   ctc_loss_reduction
												__UpperCAmelCase						:			str         =   ctc_zero_infinity





					@property
					def    _lowerCamelCase (  self:				List[Any]     )    ->				Dict:
												return functools.reduce(operator.mul	,  self.conv_stride	,  1     )





import io
import json
import subprocess


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

_snake_case			=						8




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


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




