"""simple docstring"""
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


lowercase__					       =	logging.get_logger(__name__)

lowercase__					       =	{
    '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    __snake_case       (     __lowerCAmelCase				):
      a__        =		"""mobilenet_v1"""



      def __init__(						self    ,			lowercase=3    ,			lowercase=2_24    ,			lowercase=1.0    ,			lowercase=8    ,			lowercase="relu6"    ,			lowercase=True    ,			lowercase=0.999    ,			lowercase=0.02    ,			lowercase=0.001    ,			**lowercase    ,			)	->			Any:





        '''simple docstring'''





        super().__init__(**lowercase)

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

        a__:     str										=	num_channels
        a__:     List[str]										=	image_size
        a__:     Dict										=	depth_multiplier
        a__:     Optional[Any]										=	min_depth
        a__:     Any										=	hidden_act
        a__:     Tuple										=	tf_padding
        a__:     List[Any]										=	classifier_dropout_prob
        a__:     Any										=	initializer_range
        a__:     Dict										=	layer_norm_eps







class    __snake_case       (     __lowerCAmelCase				):
      a__        =		version.parse("""1.11"""				)



      @property
      def   lowerCamelCase_   (						self)	->			Mapping[str, Mapping[int, str]]:





        '''simple docstring'''





        return OrderedDict([('pixel_values', {0: 'batch'})])



      @property
      def   lowerCamelCase_   (						self)	->			Mapping[str, Mapping[int, str]]:





        '''simple docstring'''





        if self.task == "image-classification":
          return OrderedDict([('logits', {0: 'batch'})])
        else:
          return OrderedDict([('last_hidden_state', {0: 'batch'}), ('pooler_output', {0: 'batch'})])



      @property
      def   lowerCamelCase_   (						self)	->			float:





        '''simple docstring'''





        return 1e-4



"""simple docstring"""
import math







def 						__a   (	_SCREAMING_SNAKE_CASE   )	->bool:

  if 1 < number < 4:
    # 2 and 3 are primes
    return True
  elif number < 2 or number % 2 == 0 or number % 3 == 0:
    # Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
    return False

  # All primes number are in format of 6k +/- 1
  for i in range(5		,     int(math.sqrt(_SCREAMING_SNAKE_CASE   ) + 1   )		,     6   ):
    if number % i == 0 or number % (i + 2) == 0:
      return False
  return True







def 						__a   (	_SCREAMING_SNAKE_CASE = 0.1   )	->int:
  a__:     str										=	3
  a__:     Optional[Any]										=	3

  while primes / (2 * j - 1) >= ratio:
    for i in range(j * j + j + 1		,     (j + 2) * (j + 2)		,     j + 1   ):
      primes += is_prime(_SCREAMING_SNAKE_CASE   )
    j += 2
  return j


if __name__ == "__main__":
 import doctest

 doctest.testmod()


