



'''simple docstring'''


from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_lowerCamelCase      :			Dict       =      logging.get_logger(__name__)

_lowerCamelCase      :			Tuple       =      {
    "microsoft/beit-base-patch16-224-pt22k": (
        "https://huggingface.co/microsoft/beit-base-patch16-224-pt22k/resolve/main/config.json"
    ),
    # See all BEiT models at https://huggingface.co/models?filter=beit
}

class 					SCREAMING_SNAKE_CASE					(    __A						):






    """simple docstring"""





    _SCREAMING_SNAKE_CASE          =    """beit"""






    def __init__(    self :   Optional[Any]    ,		UpperCamelCase__ :   Dict=8_1_9_2    ,		UpperCamelCase__ :   int=7_6_8    ,		UpperCamelCase__ :   int=1_2    ,		UpperCamelCase__ :   List[str]=1_2    ,		UpperCamelCase__ :   int=3_0_7_2    ,		UpperCamelCase__ :   Optional[int]="gelu"    ,		UpperCamelCase__ :   List[Any]=0.0    ,		UpperCamelCase__ :   Optional[Any]=0.0    ,		UpperCamelCase__ :   Any=0.0_2    ,		UpperCamelCase__ :   str=1E-1_2    ,		UpperCamelCase__ :   Dict=2_2_4    ,		UpperCamelCase__ :   Dict=1_6    ,		UpperCamelCase__ :   int=3    ,		UpperCamelCase__ :   int=False    ,		UpperCamelCase__ :   Tuple=False    ,		UpperCamelCase__ :   Optional[Any]=False    ,		UpperCamelCase__ :   Optional[int]=False    ,		UpperCamelCase__ :   List[str]=0.1    ,		UpperCamelCase__ :   Optional[int]=0.1    ,		UpperCamelCase__ :   List[Any]=True    ,		UpperCamelCase__ :   Union[str, Any]=[3, 5, 7, 1_1]    ,		UpperCamelCase__ :   List[str]=[1, 2, 3, 6]    ,		UpperCamelCase__ :   Dict=True    ,		UpperCamelCase__ :   int=0.4    ,		UpperCamelCase__ :   int=2_5_6    ,		UpperCamelCase__ :   Union[str, Any]=1    ,		UpperCamelCase__ :   str=False    ,		UpperCamelCase__ :   int=2_5_5    ,		**UpperCamelCase__ :   Dict    ,		):


       """simple docstring"""







       super().__init__(**UpperCamelCase__					)

       UpperCamelCase      							=    vocab_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      							=    image_size
       UpperCamelCase      							=    patch_size
       UpperCamelCase      							=    num_channels
       UpperCamelCase      							=    use_mask_token
       UpperCamelCase      							=    use_absolute_position_embeddings
       UpperCamelCase      							=    use_relative_position_bias
       UpperCamelCase      							=    use_shared_relative_position_bias
       UpperCamelCase      							=    layer_scale_init_value
       UpperCamelCase      							=    drop_path_rate
       UpperCamelCase      							=    use_mean_pooling
       # decode head attributes (semantic segmentation)
       UpperCamelCase      							=    out_indices
       UpperCamelCase      							=    pool_scales
       # auxiliary head attributes (semantic segmentation)
       UpperCamelCase      							=    use_auxiliary_head
       UpperCamelCase      							=    auxiliary_loss_weight
       UpperCamelCase      							=    auxiliary_channels
       UpperCamelCase      							=    auxiliary_num_convs
       UpperCamelCase      							=    auxiliary_concat_input
       UpperCamelCase      							=    semantic_loss_ignore_index

class 					SCREAMING_SNAKE_CASE					(    __A						):






    """simple docstring"""





    _SCREAMING_SNAKE_CASE          =    version.parse("""1.11"""						)






    @property
    def 					A			(    self :   int					):


       """simple docstring"""







       return OrderedDict(
           [
               ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
           ]					)






    @property
    def 					A			(    self :   Dict					):


       """simple docstring"""







       return 1E-4









'''simple docstring'''



import string

# frequency taken from https://en.wikipedia.org/wiki/Letter_frequency
SCREAMING_SNAKE_CASE							=						{
    'E': 12.70,
    'T': 9.06,
    'A': 8.17,
    'O': 7.51,
    'I': 6.97,
    'N': 6.75,
    'S': 6.33,
    'H': 6.09,
    'R': 5.99,
    'D': 4.25,
    'L': 4.03,
    'C': 2.78,
    'U': 2.76,
    'M': 2.41,
    'W': 2.36,
    'F': 2.23,
    'G': 2.02,
    'Y': 1.97,
    'P': 1.93,
    'B': 1.29,
    'V': 0.98,
    'K': 0.77,
    'J': 0.15,
    'X': 0.15,
    'Q': 0.10,
    'Z': 0.07,
}
SCREAMING_SNAKE_CASE							=						'ETAOINSHRDLCUMWFGYPBVKJXQZ'
SCREAMING_SNAKE_CASE							=						'ABCDEFGHIJKLMNOPQRSTUVWXYZ'


def 				lowercase_					(     __A			:							str      )							->   dict[str, int]:



 """simple docstring"""




 lowercase       : List[str]						={letter: 0 for letter in string.ascii_uppercase}
 for letter in message.upper():
  if letter in LETTERS:
   letter_count[letter] += 1

 return letter_count


def 				lowercase_					(     __A			:							tuple      )							->   str:



 """simple docstring"""




 return x[0]


def 				lowercase_					(     __A			:							str      )							->   str:



 """simple docstring"""




 lowercase       : Optional[Any]						=get_letter_count(__A      )
 lowercase       : dict[int, list[str]]						={
     freq: [] for letter, freq in letter_to_freq.items()
 }
 for letter in LETTERS:
  freq_to_letter[letter_to_freq[letter]].append(__A      )

 lowercase       : dict[int, str]						={}

 for freq in freq_to_letter:
  freq_to_letter[freq].sort(key=ETAOIN.find       ,   reverse=__A      )
  lowercase       : Optional[int]						=''''''.join(freq_to_letter[freq]      )

 lowercase       : str						=list(freq_to_letter_str.items()      )
 freq_pairs.sort(key=__A       ,   reverse=__A      )

 lowercase       : list[str]						=[freq_pair[1] for freq_pair in freq_pairs]

 return "".join(__A      )


def 				lowercase_					(     __A			:							str      )							->   int:



 """simple docstring"""




 lowercase       : Optional[Any]						=get_frequency_order(__A      )
 lowercase       : Union[str, Any]						=0
 for common_letter in ETAOIN[:6]:
  if common_letter in freq_order[:6]:
   match_score += 1

 for uncommon_letter in ETAOIN[-6:]:
  if uncommon_letter in freq_order[-6:]:
   match_score += 1

 return match_score


if __name__ == "__main__":
      import doctest

      doctest.testmod()



