

"""simple docstring"""




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


__UpperCAmelCase       = logging.get_logger(__name__)

__UpperCAmelCase       = {
    '''MCG-NJU/videomae-base''': '''https://huggingface.co/MCG-NJU/videomae-base/resolve/main/config.json''',
}







class    __lowercase	(			__a    ):
  snake_case_ 				=				"""videomae"""

  def __init__(     self						:	str    ,A						:	str=224    ,A						:	Tuple=16    ,A						:	int=3    ,A						:	Tuple=16    ,A						:	Union[str, Any]=2    ,A						:	List[Any]=768    ,A						:	int=12    ,A						:	Union[str, Any]=12    ,A						:	Union[str, Any]=3_072    ,A						:	str="gelu"    ,A						:	Optional[Any]=0.0    ,A						:	int=0.0    ,A						:	str=0.0_2    ,A						:	Dict=1e-12    ,A						:	List[Any]=True    ,A						:	Tuple=True    ,A						:	str=6    ,A						:	Union[str, Any]=384    ,A						:	List[Any]=4    ,A						:	Optional[int]=1_536    ,A						:	List[str]=True    ,**A						:	Tuple    ,):






   '''simple docstring'''
   super().__init__(**lowerCAmelCase__			)

   UpperCAmelCase__    :     Tuple          =    image_size
   UpperCAmelCase__    :     Union[str, Any]          =    patch_size
   UpperCAmelCase__    :     Union[str, Any]          =    num_channels
   UpperCAmelCase__    :     str          =    num_frames
   UpperCAmelCase__    :     List[Any]          =    tubelet_size

   UpperCAmelCase__    :     Optional[int]          =    hidden_size
   UpperCAmelCase__    :     Union[str, Any]          =    num_hidden_layers
   UpperCAmelCase__    :     Dict          =    num_attention_heads
   UpperCAmelCase__    :     Optional[int]          =    intermediate_size
   UpperCAmelCase__    :     Optional[Any]          =    hidden_act
   UpperCAmelCase__    :     Optional[Any]          =    hidden_dropout_prob
   UpperCAmelCase__    :     Dict          =    attention_probs_dropout_prob
   UpperCAmelCase__    :     List[Any]          =    initializer_range
   UpperCAmelCase__    :     str          =    layer_norm_eps
   UpperCAmelCase__    :     Optional[Any]          =    qkv_bias
   UpperCAmelCase__    :     int          =    use_mean_pooling

   UpperCAmelCase__    :     str          =    decoder_num_attention_heads
   UpperCAmelCase__    :     int          =    decoder_hidden_size
   UpperCAmelCase__    :     Optional[int]          =    decoder_num_hidden_layers
   UpperCAmelCase__    :     Optional[int]          =    decoder_intermediate_size
   UpperCAmelCase__    :     int          =    norm_pix_loss







'''simple docstring'''

import io
import json
import subprocess


lowerCAmelCase_			:			Tuple			   =     [
    ['''en''', '''ru'''],
    ['''ru''', '''en'''],
    ['''en''', '''de'''],
    ['''de''', '''en'''],
]

lowerCAmelCase_			:			str			   =     8







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


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


