


from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


UpperCAmelCase_				:			str   =	logging.get_logger(__name__)

UpperCAmelCase_				:			str   =	{
    'google/mobilenet_v1_1.0_224': 'https://huggingface.co/google/mobilenet_v1_1.0_224/resolve/main/config.json',
    'google/mobilenet_v1_0.75_192': 'https://huggingface.co/google/mobilenet_v1_0.75_192/resolve/main/config.json',
    # See all MobileNetV1 models at https://huggingface.co/models?filter=mobilenet_v1
}
class 			SCREAMING_SNAKE_CASE__  (    lowercase__      ):
      snake_case__    :					Dict					       =						'''mobilenet_v1'''
      def __init__(	self    :	int					,							SCREAMING_SNAKE_CASE__    :	Tuple=3					,							SCREAMING_SNAKE_CASE__    :	Optional[Any]=2_2_4					,							SCREAMING_SNAKE_CASE__    :	int=1.0					,							SCREAMING_SNAKE_CASE__    :	Optional[int]=8					,							SCREAMING_SNAKE_CASE__    :	List[Any]="relu6"					,							SCREAMING_SNAKE_CASE__    :	Dict=True					,							SCREAMING_SNAKE_CASE__    :	Union[str, Any]=0.999					,							SCREAMING_SNAKE_CASE__    :	Optional[Any]=0.02					,							SCREAMING_SNAKE_CASE__    :	Optional[int]=0.001					,							**SCREAMING_SNAKE_CASE__    :	Optional[Any]					,							)		->      Any:
             super().__init__(**SCREAMING_SNAKE_CASE__					)

             if depth_multiplier <= 0:
                    raise ValueError('depth_multiplier must be greater than zero.'					)

             a_ :		List[Any]							=  num_channels
             a_ :		Dict							=  image_size
             a_ :		Dict							=  depth_multiplier
             a_ :		Tuple							=  min_depth
             a_ :		Tuple							=  hidden_act
             a_ :		int							=  tf_padding
             a_ :		int							=  classifier_dropout_prob
             a_ :		List[Any]							=  initializer_range
             a_ :		List[Any]							=  layer_norm_eps
class 			SCREAMING_SNAKE_CASE__  (    lowercase__      ):
      snake_case__    :					str					       =						version.parse('''1.11'''      )
      @property
      def 	SCREAMING_SNAKE_CASE							(	self    :	Dict					)		->      Mapping[str, Mapping[int, str]]:
             return OrderedDict([('pixel_values', {0: 'batch'})]					)
      @property
      def 	SCREAMING_SNAKE_CASE							(	self    :	Tuple					)		->      Mapping[str, Mapping[int, str]]:
             if self.task == "image-classification":
                    return OrderedDict([('logits', {0: 'batch'})]					)
             else:
                    return OrderedDict([('last_hidden_state', {0: 'batch'}), ('pooler_output', {0: 'batch'})]					)

      @property
      def 	SCREAMING_SNAKE_CASE							(	self    :	List[str]					)		->      float:
             return 1E-4






from __future__ import annotations

UpperCAmelCase_				:			Dict   =	[True] * 100_0001
UpperCAmelCase_				:			Any   =	2
while i * i <= 100_0000:
   if seive[i]:
      for j in range(i * i, 100_0001, i):
         UpperCAmelCase_				:			Tuple   =	False
   i += 1







def 	SCREAMING_SNAKE_CASE_						(      __A			:      int    )     ->		bool:

       """simple docstring"""

       return seive[n]







def 	SCREAMING_SNAKE_CASE_						(      __A			:      int    )     ->		bool:

       """simple docstring"""

       return any(digit in '02468' for digit in str(__A    )    )







def 	SCREAMING_SNAKE_CASE_						(      __A			:      int = 1_00_00_00    )     ->		list[int]:

       """simple docstring"""

       a_ :		Dict							=  [2]  # result already includes the number 2.
       for num in range(3  ,   limit + 1  ,   2    ):
              if is_prime(__A    ) and not contains_an_even_digit(__A    ):
                     a_ :		Dict							=  str(__A    )
                     a_ :		Any							=  [int(str_num[j:] + str_num[:j]    ) for j in range(len(__A    )    )]
                     if all(is_prime(__A    ) for i in list_nums    ):
                            result.append(__A    )
       return result







def 	SCREAMING_SNAKE_CASE_						(      )     ->		int:

       """simple docstring"""

       return len(find_circular_primes()    )


if __name__ == "__main__":
   print(F'{len(find_circular_primes()) = }')


