code: 
  
  
  from ...configuration_utils import PretrainedConfig
  from ...utils import logging
  
  
  SCREAMING_SNAKE_CASE__				:    Union[str, Any]         =    logging.get_logger(__name__)
  
  SCREAMING_SNAKE_CASE__				:    Any         =    {
      'uw-madison/yoso-4096': 'https://huggingface.co/uw-madison/yoso-4096/resolve/main/config.json',
      # See all YOSO models at https://huggingface.co/models?filter=yoso
  }
  
  
  class 		_SCREAMING_SNAKE_CASE    (	A    ):
       __SCREAMING_SNAKE_CASE    				=						'''yoso'''
  
  
       def __init__(     self       ,				A_=5_02_65       ,				A_=7_68       ,				A_=12       ,				A_=12       ,				A_=30_72       ,				A_="gelu"       ,				A_=0.1       ,				A_=0.1       ,				A_=40_96       ,				A_=1       ,				A_=0.0_2       ,				A_=1e-12       ,				A_="absolute"       ,				A_=True       ,				A_=9       ,				A_=64       ,				A_=None       ,				A_=True       ,				A_=True       ,				A_=1       ,				A_=0       ,				A_=2       ,				**A_       ,				):
         super().__init__(pad_token_id=A_       ,				bos_token_id=A_       ,				eos_token_id=A_       ,				**A_						)
  
         _UpperCAmelCase		:       List[Any]       =    vocab_size
         _UpperCAmelCase		:       Optional[int]       =    max_position_embeddings
         _UpperCAmelCase		:       Optional[Any]       =    hidden_size
         _UpperCAmelCase		:       List[str]       =    num_hidden_layers
         _UpperCAmelCase		:       str       =    num_attention_heads
         _UpperCAmelCase		:       Optional[int]       =    intermediate_size
         _UpperCAmelCase		:       Any       =    hidden_act
         _UpperCAmelCase		:       Union[str, Any]       =    hidden_dropout_prob
         _UpperCAmelCase		:       Optional[Any]       =    attention_probs_dropout_prob
         _UpperCAmelCase		:       Union[str, Any]       =    initializer_range
         _UpperCAmelCase		:       str       =    type_vocab_size
         _UpperCAmelCase		:       Any       =    layer_norm_eps
         _UpperCAmelCase		:       Tuple       =    position_embedding_type
         _UpperCAmelCase		:       List[str]       =    use_expectation
         _UpperCAmelCase		:       Any       =    hash_code_len
         _UpperCAmelCase		:       Any       =    num_hash
         _UpperCAmelCase		:       Union[str, Any]       =    conv_window
         _UpperCAmelCase		:       Optional[int]       =    use_fast_hash
         _UpperCAmelCase		:       Any       =    lsh_backward
  
  
  
  
  
  
style_context: 
  
  
  from itertools import count
  from math import asin, pi, sqrt
  
  
  
  
  def       a__						(		snake_case__				:       float    ):
    return (
        (1 - 2 * point) * sqrt(point - point**2    ) + 2 * point + asin(sqrt(1 - point    )    )
    ) / 4
  
  
  
  
  def       a__						(		snake_case__				:       int    ):
    _UpperCAmelCase		:       int       =    (circles_number + 1 - sqrt(2 * circles_number    )) / (
        2 * (circles_number**2 + 1)
    )
    _UpperCAmelCase		:       Union[str, Any]       =    circles_number * intersection_y
  
    _UpperCAmelCase		:       Tuple       =    intersection_x * intersection_y / 2
    _UpperCAmelCase		:       str       =    circle_bottom_arc_integral(
        1 / 2    ) - circle_bottom_arc_integral(snake_case__    )
  
    return triangle_area + concave_region_area
  
  
  
  
  def       a__						(		snake_case__				:       float = 1 / 1000    ):
    _UpperCAmelCase		:       Dict       =    (1 - pi / 4) / 4
  
    for n in count(1    ):
      if concave_triangle_area(snake_case__    ) / l_section_area < fraction:
        return n
  
    return -1
  
  
  if __name__ == "__main__":
   print(F'{solution() = }')
  
  
  
  
  
  