






"""simple docstring"""



import io
import json
import subprocess


a  :						Any					       =							[
    ['''en''', '''ru'''],
    ['''ru''', '''en'''],
    ['''en''', '''de'''],
    ['''de''', '''en'''],
]

a  :						Tuple					       =							8




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


a  :						Union[str, Any]					       =							get_all_data(pairs, n_objs)
a  :						List[str]					       =							'''./fsmt_val_data.json'''
with io.open(filename, '''w''', encoding='''utf-8''') as f:
 a  :						Any					       =							json.dump(text, f, indent=2, ensure_ascii=False)









'''simple docstring'''




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


snake_case__ 							=    logging.get_logger(__name__)

snake_case__ 							=    {
    """uw-madison/nystromformer-512""": """https://huggingface.co/uw-madison/nystromformer-512/resolve/main/config.json""",
    # See all Nystromformer models at https://huggingface.co/models?filter=nystromformer
}






class      UpperCamelCase_  (a__  ):







						"""simple docstring"""


						_lowerCAmelCase         =       'nystromformer'







						def __init__(  self   :							Optional[Any]				,			_lowerCamelCase   :							str=30000				,			_lowerCamelCase   :							Optional[Any]=768				,			_lowerCamelCase   :							Optional[Any]=12				,			_lowerCamelCase   :							str=12				,			_lowerCamelCase   :							List[str]=3072				,			_lowerCamelCase   :							Any="gelu_new"				,			_lowerCamelCase   :							List[Any]=0.1				,			_lowerCamelCase   :							List[str]=0.1				,			_lowerCamelCase   :							List[str]=510				,			_lowerCamelCase   :							Optional[Any]=2				,			_lowerCamelCase   :							List[Any]=64				,			_lowerCamelCase   :							str=64				,			_lowerCamelCase   :							str=65				,			_lowerCamelCase   :							List[Any]=False				,			_lowerCamelCase   :							List[Any]=0.02				,			_lowerCamelCase   :							List[Any]=1E-5				,			_lowerCamelCase   :							Dict=1				,			_lowerCamelCase   :							Tuple=0				,			_lowerCamelCase   :							List[str]=2				,			**_lowerCamelCase   :							List[str]				,			):





											"""simple docstring"""







											A_			:  List[Any]			=				vocab_size
											A_			:  Tuple			=				max_position_embeddings
											A_			:  Dict			=				hidden_size
											A_			:  Optional[Any]			=				num_hidden_layers
											A_			:  Dict			=				num_attention_heads
											A_			:  Tuple			=				intermediate_size
											A_			:  Dict			=				hidden_act
											A_			:  List[Any]			=				hidden_dropout_prob
											A_			:  str			=				attention_probs_dropout_prob
											A_			:  Optional[Any]			=				initializer_range
											A_			:  List[str]			=				type_vocab_size
											A_			:  List[Any]			=				segment_means_seq_len
											A_			:  Dict			=				num_landmarks
											A_			:  int			=				conv_kernel_size
											A_			:  Optional[Any]			=				inv_coeff_init_option
											A_			:  str			=				layer_norm_eps
											super().__init__(pad_token_id=_lowerCamelCase				,			bos_token_id=_lowerCamelCase				,			eos_token_id=_lowerCamelCase				,			**_lowerCamelCase     )



