






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


snake_case    				=		logging.get_logger(__name__)

snake_case    				=		{
    """google/bit-50""": """https://huggingface.co/google/bit-50/resolve/main/config.json""",
}


class  SCREAMING_SNAKE_CASE			(			lowerCAmelCase      ,		lowerCAmelCase					):
     '''simple docstring'''


     UpperCamelCase_							:		List[str]			=	'''bit'''
     UpperCamelCase_							:		List[str]			=	['''preactivation''', '''bottleneck''']
     UpperCamelCase_							:		Optional[int]			=	['''SAME''', '''VALID''']


     def __init__(				self       :	Optional[int]					, UpperCAmelCase_       :	str=3					, UpperCAmelCase_       :	int=64					, UpperCAmelCase_       :	List[Any]=[256, 512, 1024, 2048]					, UpperCAmelCase_       :	Dict=[3, 4, 6, 3]					, UpperCAmelCase_       :	Dict="preactivation"					, UpperCAmelCase_       :	Tuple="relu"					, UpperCAmelCase_       :	List[str]=None					, UpperCAmelCase_       :	Dict=32					, UpperCAmelCase_       :	str=0.0					, UpperCAmelCase_       :	Any=False					, UpperCAmelCase_       :	List[Any]=32					, UpperCAmelCase_       :	Any=1					, UpperCAmelCase_       :	Union[str, Any]=None					, UpperCAmelCase_       :	List[Any]=None					, **UpperCAmelCase_       :	Optional[int]					, ):
       super().__init__(**UpperCAmelCase_      )
       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:
           SCREAMING_SNAKE_CASE       :      Optional[Any]							=    global_padding.upper()
         else:
           raise ValueError(f'''Padding strategy {global_padding} not supported'''      )
       SCREAMING_SNAKE_CASE       :      Optional[int]							=    num_channels
       SCREAMING_SNAKE_CASE       :      str							=    embedding_size
       SCREAMING_SNAKE_CASE       :      int							=    hidden_sizes
       SCREAMING_SNAKE_CASE       :      Optional[Any]							=    depths
       SCREAMING_SNAKE_CASE       :      List[Any]							=    layer_type
       SCREAMING_SNAKE_CASE       :      int							=    hidden_act
       SCREAMING_SNAKE_CASE       :      str							=    global_padding
       SCREAMING_SNAKE_CASE       :      Any							=    num_groups
       SCREAMING_SNAKE_CASE       :      Tuple							=    drop_path_rate
       SCREAMING_SNAKE_CASE       :      List[Any]							=    embedding_dynamic_padding
       SCREAMING_SNAKE_CASE       :      List[str]							=    output_stride
       SCREAMING_SNAKE_CASE       :      int							=    width_factor

       SCREAMING_SNAKE_CASE       :      str							=    ["stem"] + [f'''stage{idx}''' for idx in range(1					, len(UpperCAmelCase_      ) + 1      )]
       SCREAMING_SNAKE_CASE						,  SCREAMING_SNAKE_CASE       :      Tuple							=    get_aligned_output_features_output_indices(
           out_features=UpperCAmelCase_					, out_indices=UpperCAmelCase_					, stage_names=self.stage_names      )














snake_case    				=		"""Tobias Carryer"""

from time import time


class  SCREAMING_SNAKE_CASE			:
     '''simple docstring'''


     def __init__(				self       :	List[Any]					, UpperCAmelCase_       :	List[str]					, UpperCAmelCase_       :	Optional[int]					, UpperCAmelCase_       :	Any					, UpperCAmelCase_       :	int=int(time()      )      ):  # noqa: B008
       SCREAMING_SNAKE_CASE       :      Optional[Any]							=    multiplier
       SCREAMING_SNAKE_CASE       :      Tuple							=    increment
       SCREAMING_SNAKE_CASE       :      int							=    modulo
       SCREAMING_SNAKE_CASE       :      Optional[int]							=    seed






     def 				_A       (				self       :	Tuple      ):
       SCREAMING_SNAKE_CASE       :      Optional[Any]							=    (self.multiplier * self.seed + self.increment) % self.modulo
       return self.seed


if __name__ == "__main__":
   # Show the LCG in action.
   snake_case    				=		LinearCongruentialGenerator(1_664_525, 1_013_904_223, 2 << 31)
   while True:
      print(lcg.next_number())






