



"""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


lowerCAmelCase__      =    logging.get_logger(__name__)

lowerCAmelCase__      =    {
    '''google/mobilenet_v2_1.4_224''': '''https://huggingface.co/google/mobilenet_v2_1.4_224/resolve/main/config.json''',
    '''google/mobilenet_v2_1.0_224''': '''https://huggingface.co/google/mobilenet_v2_1.0_224/resolve/main/config.json''',
    '''google/mobilenet_v2_0.75_160''': '''https://huggingface.co/google/mobilenet_v2_0.75_160/resolve/main/config.json''',
    '''google/mobilenet_v2_0.35_96''': '''https://huggingface.co/google/mobilenet_v2_0.35_96/resolve/main/config.json''',
    # See all MobileNetV2 models at https://huggingface.co/models?filter=mobilenet_v2
}






class 	__snake_case	(     _lowercase):
  snake_case__    :       Optional[int]        =						"mobilenet_v2"




  def __init__(			self					:						int						, __lowerCAmelCase					:						Optional[Any]=3						, __lowerCAmelCase					:						Any=2_2_4						, __lowerCAmelCase					:						List[Any]=1.0						, __lowerCAmelCase					:						List[str]=8						, __lowerCAmelCase					:						Tuple=8						, __lowerCAmelCase					:						int=6						, __lowerCAmelCase					:						List[str]=3_2						, __lowerCAmelCase					:						Dict=True						, __lowerCAmelCase					:						Dict=True						, __lowerCAmelCase					:						List[Any]="relu6"						, __lowerCAmelCase					:						Dict=True						, __lowerCAmelCase					:						Union[str, Any]=0.8						, __lowerCAmelCase					:						Optional[Any]=0.02						, __lowerCAmelCase					:						str=0.0_01						, __lowerCAmelCase					:						Dict=2_5_5						, **__lowerCAmelCase					:						Any						, ):






         """simple docstring"""






         super().__init__(**__lowerCAmelCase		)

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

         _lowerCamelCase						:    str         =			num_channels
         _lowerCamelCase						:    str         =			image_size
         _lowerCamelCase						:    Tuple         =			depth_multiplier
         _lowerCamelCase						:    Optional[int]         =			depth_divisible_by
         _lowerCamelCase						:    Optional[int]         =			min_depth
         _lowerCamelCase						:    Any         =			expand_ratio
         _lowerCamelCase						:    List[str]         =			output_stride
         _lowerCamelCase						:    Any         =			first_layer_is_expansion
         _lowerCamelCase						:    Optional[int]         =			finegrained_output
         _lowerCamelCase						:    str         =			hidden_act
         _lowerCamelCase						:    Dict         =			tf_padding
         _lowerCamelCase						:    List[Any]         =			classifier_dropout_prob
         _lowerCamelCase						:    Optional[int]         =			initializer_range
         _lowerCamelCase						:    str         =			layer_norm_eps
         _lowerCamelCase						:    int         =			semantic_loss_ignore_index






class 	__snake_case	(     _lowercase):
  snake_case__    :       Tuple        =						version.parse("1.11")




  @property
  def 						SCREAMING_SNAKE_CASE    (			self					:						Optional[Any]		):






         """simple docstring"""






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




  @property
  def 						SCREAMING_SNAKE_CASE    (			self					:						Optional[int]		):






         """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 						SCREAMING_SNAKE_CASE    (			self					:						int		):






         """simple docstring"""






         return 1E-4







"""simple docstring"""






from maths.prime_factors import prime_factors






def 	snake_case_  (				A_ :		int						):


       '''simple docstring'''





       if not isinstance(A_,    A_						):
              _lowerCamelCase						:    str         =			F'''Input value of [number={number}] must be an integer'''
              raise TypeError(A_						)
       if number < 1:
              raise ValueError('''Input must be a positive integer'''						)
       return -1 if len(prime_factors(A_						)						) % 2 else 1


if __name__ == "__main__":
   import doctest

   doctest.testmod()


