'''simple docstring'''




import os
from string import ascii_letters

__snake_case   :      Any						    =  ascii_letters + ' \t\n'





def      _UpperCAmelCase    (							)	->      dict[str, None]:
    A_     =   os.path.split(os.path.realpath(_UpperCamelCase   )   )
    A_     =   {}
    with open(path[0] + '''/dictionary.txt'''   ) as dictionary_file:
        for word in dictionary_file.read().split('''\n'''   ):
            A_     =   None
    return english_words


__snake_case   :      int						    =  load_dictionary()





def      _UpperCAmelCase    (							_UpperCamelCase    :	str   )	->      float:
    A_     =   message.upper()
    A_     =   remove_non_letters(_UpperCamelCase   )
    A_     =   message.split()
    A_     =   len([word for word in possible_words if word in ENGLISH_WORDS]   )
    return float(_UpperCamelCase   ) / len(_UpperCamelCase   )





def      _UpperCAmelCase    (							_UpperCamelCase    :	str   )	->      str:
    return "".join(symbol for symbol in message if symbol in LETTERS_AND_SPACE   )





def      _UpperCAmelCase    (							_UpperCamelCase    :	str,   _UpperCamelCase    :	int = 20,   _UpperCamelCase    :	int = 85   )	->      bool:
    A_     =   get_english_count(_UpperCamelCase   ) * 1_00 >= word_percentage
    A_     =   len(remove_non_letters(_UpperCamelCase   )   )
    A_     =   (float(_UpperCamelCase   ) / len(_UpperCamelCase   )) * 1_00
    A_     =   message_letters_percentage >= letter_percentage
    return words_match and letters_match


if __name__ == "__main__":
  import doctest

  doctest.testmod()













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 							_UpperCamelCase    (		lowerCAmelCase_   ):
       _UpperCamelCase :    List[Any]   			=      '''videomae'''

       def __init__(						self:       Optional[Any]    ,      _SCREAMING_SNAKE_CASE:       List[str]=224    ,      _SCREAMING_SNAKE_CASE:       Dict=16    ,      _SCREAMING_SNAKE_CASE:       List[Any]=3    ,      _SCREAMING_SNAKE_CASE:       Tuple=16    ,      _SCREAMING_SNAKE_CASE:       Tuple=2    ,      _SCREAMING_SNAKE_CASE:       Optional[Any]=768    ,      _SCREAMING_SNAKE_CASE:       str=12    ,      _SCREAMING_SNAKE_CASE:       List[Any]=12    ,      _SCREAMING_SNAKE_CASE:       Dict=3072    ,      _SCREAMING_SNAKE_CASE:       Tuple="gelu"    ,      _SCREAMING_SNAKE_CASE:       List[Any]=0.0    ,      _SCREAMING_SNAKE_CASE:       List[Any]=0.0    ,      _SCREAMING_SNAKE_CASE:       Tuple=0.02    ,      _SCREAMING_SNAKE_CASE:       Optional[int]=1e-12    ,      _SCREAMING_SNAKE_CASE:       Dict=True    ,      _SCREAMING_SNAKE_CASE:       Dict=True    ,      _SCREAMING_SNAKE_CASE:       List[str]=6    ,      _SCREAMING_SNAKE_CASE:       Dict=384    ,      _SCREAMING_SNAKE_CASE:       Any=4    ,      _SCREAMING_SNAKE_CASE:       Dict=1536    ,      _SCREAMING_SNAKE_CASE:       Optional[int]=True    ,      **_SCREAMING_SNAKE_CASE:       str    ,      )				->       Dict:




              """simple docstring"""


              super().__init__(**_SCREAMING_SNAKE_CASE						)

              UpperCamelCase_      				=     image_size
              UpperCamelCase_      				=     patch_size
              UpperCamelCase_      				=     num_channels
              UpperCamelCase_      				=     num_frames
              UpperCamelCase_      				=     tubelet_size

              UpperCamelCase_      				=     hidden_size
              UpperCamelCase_      				=     num_hidden_layers
              UpperCamelCase_      				=     num_attention_heads
              UpperCamelCase_      				=     intermediate_size
              UpperCamelCase_      				=     hidden_act
              UpperCamelCase_      				=     hidden_dropout_prob
              UpperCamelCase_      				=     attention_probs_dropout_prob
              UpperCamelCase_      				=     initializer_range
              UpperCamelCase_      				=     layer_norm_eps
              UpperCamelCase_      				=     qkv_bias
              UpperCamelCase_      				=     use_mean_pooling

              UpperCamelCase_      				=     decoder_num_attention_heads
              UpperCamelCase_      				=     decoder_hidden_size
              UpperCamelCase_      				=     decoder_num_hidden_layers
              UpperCamelCase_      				=     decoder_intermediate_size
              UpperCamelCase_      				=     norm_pix_loss

