





'''simple docstring'''


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


_SCREAMING_SNAKE_CASE	 =							logging.get_logger(__name__)

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

class    lowerCAmelCase_		(		__magic_name__						,__magic_name__		):
 __lowerCamelCase						:							Optional[Any]         =					"bit"
 __lowerCamelCase						:							Union[str, Any]         =					["preactivation", "bottleneck"]
 __lowerCamelCase						:							List[str]         =					["SAME", "VALID"]




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

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









'''simple docstring'''


from math import isqrt, loga


def 	__a(SCREAMING_SNAKE_CASE_  :					int    ):



    '''simple docstring'''





    _lowerCAmelCase				=      [True] * max_number
    for i in range(2		,       isqrt(max_number - 1    ) + 1    ):
        if is_prime[i]:
            for j in range(i**2		,       SCREAMING_SNAKE_CASE_		,       SCREAMING_SNAKE_CASE_    ):
                _lowerCAmelCase				=      False

    return [i for i in range(2		,       SCREAMING_SNAKE_CASE_    ) if is_prime[i]]


def 	__a(SCREAMING_SNAKE_CASE_  :					int = 800800		,       SCREAMING_SNAKE_CASE_  :					int = 800800    ):



    '''simple docstring'''





    _lowerCAmelCase				=      degree * loga(SCREAMING_SNAKE_CASE_    )
    _lowerCAmelCase				=      int(SCREAMING_SNAKE_CASE_    )
    _lowerCAmelCase				=      calculate_prime_numbers(SCREAMING_SNAKE_CASE_    )

    _lowerCAmelCase				=      0
    _lowerCAmelCase				=      0
    _lowerCAmelCase				=      len(SCREAMING_SNAKE_CASE_    ) - 1
    while left < right:
        while (
            prime_numbers[right] * loga(prime_numbers[left]    )
            + prime_numbers[left] * loga(prime_numbers[right]    )
            > upper_bound
        ):
            right -= 1
        hybrid_integers_count += right - left
        left += 1

    return hybrid_integers_count


if __name__ == "__main__":
       print(f'''{solution() = }''')


