




'''simple docstring'''







from itertools import compress, repeat
from math import ceil, sqrt





def 		snake_case_				(_a      :				int	):

    if num <= 2:
        return []
    if num == 3:
        return [2]

    # Odd sieve for numbers in range [3, num - 1]
    UpperCAmelCase     			=						bytearray(b'''\x01'''	) * ((num >> 1) - 1)

    for i in range(3       ,  int(sqrt(_a	)	) + 1       ,  2	):
        if sieve[(i >> 1) - 1]:
            UpperCAmelCase     			=						i**2
            UpperCAmelCase     			=						repeat(
                0       ,  ceil((num - i_squared) / (i << 1)	)	)

    return [2] + list(compress(range(3       ,  _a       ,  2	)       ,  _a	)	)


if __name__ == "__main__":
   import doctest

   doctest.testmod()










'''simple docstring'''







from ...configuration_utils import PretrainedConfig
from ...utils import logging


A					       =logging.get_logger(__name__)

A					       ={
    'facebook/regnet-y-040': 'https://huggingface.co/facebook/regnet-y-040/blob/main/config.json',
}


class      _a    (      __a					):
       __a							:	Optional[int]  							=   """regnet"""
       __a							:	Optional[Any]  							=   ["""x""", """y"""]
       def __init__(      self		:      int  ,							lowercase		:      List[Any]=3  ,							lowercase		:      Union[str, Any]=32  ,							lowercase		:      Tuple=[128, 192, 512, 1_088]  ,							lowercase		:      List[Any]=[2, 6, 12, 2]  ,							lowercase		:      Optional[Any]=64  ,							lowercase		:      Optional[int]="y"  ,							lowercase		:      int="relu"  ,							**lowercase		:      int  ,							):



           '''simple docstring'''

           super().__init__(**lowercase							)
           if layer_type not in self.layer_types:
               raise ValueError(f"layer_type={layer_type} is not one of {','.join(self.layer_types							)}"							)
           UpperCAmelCase     			=						num_channels
           UpperCAmelCase     			=						embedding_size
           UpperCAmelCase     			=						hidden_sizes
           UpperCAmelCase     			=						depths
           UpperCAmelCase     			=						groups_width
           UpperCAmelCase     			=						layer_type
           UpperCAmelCase     			=						hidden_act
           # always downsample in the first stage
           UpperCAmelCase     			=						True




