


from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


UpperCAmelCase_      : Optional[Any]  					=       logging.get_logger(__name__)

UpperCAmelCase_      : List[Any]  					=       {
    'google/bit-50': 'https://huggingface.co/google/bit-50/resolve/main/config.json',
}
class  SCREAMING_SNAKE_CASE__  (				lowercase__						,    lowercase__			):
      snake_case__				:     Optional[int]        =						'''bit'''
      snake_case__				:     Optional[Any]        =						['''preactivation''', '''bottleneck''']
      snake_case__				:     Tuple        =						['''SAME''', '''VALID''']
      def __init__(       self				:       Dict     ,							SCREAMING_SNAKE_CASE__				:       List[Any]=3     ,							SCREAMING_SNAKE_CASE__				:       Optional[int]=6_4     ,							SCREAMING_SNAKE_CASE__				:       Optional[int]=[2_5_6, 5_1_2, 1_0_2_4, 2_0_4_8]     ,							SCREAMING_SNAKE_CASE__				:       Optional[Any]=[3, 4, 6, 3]     ,							SCREAMING_SNAKE_CASE__				:       Optional[Any]="preactivation"     ,							SCREAMING_SNAKE_CASE__				:       Tuple="relu"     ,							SCREAMING_SNAKE_CASE__				:       List[str]=None     ,							SCREAMING_SNAKE_CASE__				:       Dict=3_2     ,							SCREAMING_SNAKE_CASE__				:       Tuple=0.0     ,							SCREAMING_SNAKE_CASE__				:       Any=False     ,							SCREAMING_SNAKE_CASE__				:       Tuple=3_2     ,							SCREAMING_SNAKE_CASE__				:       str=1     ,							SCREAMING_SNAKE_CASE__				:       Union[str, Any]=None     ,							SCREAMING_SNAKE_CASE__				:       Union[str, Any]=None     ,							**SCREAMING_SNAKE_CASE__				:       str     ,							)		->			str:
             super().__init__(**SCREAMING_SNAKE_CASE__     )
             if layer_type not in self.layer_types:
                    raise ValueError(F"""layer_type={layer_type} is not one of {",".join(self.layer_types     )}"""     )
             if global_padding is not None:
                    if global_padding.upper() in self.supported_padding:
                           a_					:		Any							=  global_padding.upper()
                    else:
                           raise ValueError(F"""Padding strategy {global_padding} not supported"""     )
             a_					:		Optional[Any]							=  num_channels
             a_					:		List[Any]							=  embedding_size
             a_					:		Union[str, Any]							=  hidden_sizes
             a_					:		List[str]							=  depths
             a_					:		Any							=  layer_type
             a_					:		Optional[int]							=  hidden_act
             a_					:		Tuple							=  global_padding
             a_					:		List[Any]							=  num_groups
             a_					:		List[str]							=  drop_path_rate
             a_					:		List[Any]							=  embedding_dynamic_padding
             a_					:		int							=  output_stride
             a_					:		str							=  width_factor

             a_					:		Dict							=  ['stem'] + [F"""stage{idx}""" for idx in range(1     ,							len(SCREAMING_SNAKE_CASE__     ) + 1     )]
             a_							,		a_					:		List[Any]							=  get_aligned_output_features_output_indices(
                 out_features=SCREAMING_SNAKE_CASE__     ,							out_indices=SCREAMING_SNAKE_CASE__     ,							stage_names=self.stage_names     )



"""simple docstring"""







from __future__ import annotations

import math
from collections.abc import Callable



def 			lowercase__(       __SCREAMING_SNAKE_CASE							:     Callable[[int | float], int | float]     ,			__SCREAMING_SNAKE_CASE							:     int | float     ,			__SCREAMING_SNAKE_CASE							:     int | float     ,			__SCREAMING_SNAKE_CASE							:     int = 1_00     ,			):
     lowercase_	:				Dict													=	x_start
     lowercase_	:				Optional[Any]													=	fnc(__SCREAMING_SNAKE_CASE      )
     lowercase_	:				Optional[Any]													=	0.0

     for _ in range(__SCREAMING_SNAKE_CASE      ):
          # Approximates curve as a sequence of linear lines and sums their length
          lowercase_	:				Union[str, Any]													=	(x_end - x_start) / steps + xa
          lowercase_	:				str													=	fnc(__SCREAMING_SNAKE_CASE      )
          length += math.hypot(xa - xa     ,			fxa - fxa      )

          # Increment step
          lowercase_	:				List[Any]													=	xa
          lowercase_	:				Optional[Any]													=	fxa

     return length


if __name__ == "__main__":



       def 			lowercase__(       __SCREAMING_SNAKE_CASE							:     Any      ):
            return math.sin(10 * x      )

       print("f(x) = sin(10 * x)")
       print("The length of the curve from x = -10 to x = 10 is:")
       __SCREAMING_SNAKE_CASE    	=10
       while i <= 10_0000:
              print(F"With {i} steps: {line_length(f, -10, 10, i)}")
              i *= 10

