






"""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


UpperCamelCase					=     logging.get_logger(__name__)

UpperCamelCase					=     {
    """apple/mobilevit-small""": """https://huggingface.co/apple/mobilevit-small/resolve/main/config.json""",
    """apple/mobilevit-x-small""": """https://huggingface.co/apple/mobilevit-x-small/resolve/main/config.json""",
    """apple/mobilevit-xx-small""": """https://huggingface.co/apple/mobilevit-xx-small/resolve/main/config.json""",
    """apple/deeplabv3-mobilevit-small""": (
        """https://huggingface.co/apple/deeplabv3-mobilevit-small/resolve/main/config.json"""
    ),
    """apple/deeplabv3-mobilevit-x-small""": (
        """https://huggingface.co/apple/deeplabv3-mobilevit-x-small/resolve/main/config.json"""
    ),
    """apple/deeplabv3-mobilevit-xx-small""": (
        """https://huggingface.co/apple/deeplabv3-mobilevit-xx-small/resolve/main/config.json"""
    ),
    # See all MobileViT models at https://huggingface.co/models?filter=mobilevit
}







class 						_a  (		lowerCAmelCase_       ):





   '''simple docstring'''






   UpperCamelCase__     	=							'''mobilevit'''





   def __init__(       self					, UpperCAmelCase_=3					, UpperCAmelCase_=256					, UpperCAmelCase_=2					, UpperCAmelCase_=[144, 192, 240]					, UpperCAmelCase_=[16, 32, 64, 96, 128, 160, 640]					, UpperCAmelCase_=4					, UpperCAmelCase_=2.0					, UpperCAmelCase_=4.0					, UpperCAmelCase_="silu"					, UpperCAmelCase_=3					, UpperCAmelCase_=32					, UpperCAmelCase_=0.1					, UpperCAmelCase_=0.0					, UpperCAmelCase_=0.1					, UpperCAmelCase_=0.02					, UpperCAmelCase_=1E-5					, UpperCAmelCase_=True					, UpperCAmelCase_=256					, UpperCAmelCase_=[6, 12, 18]					, UpperCAmelCase_=0.1					, UpperCAmelCase_=255					, **UpperCAmelCase_					, )			->   List[str]:




          '''simple docstring'''




          super().__init__(**_SCREAMING_SNAKE_CASE)

          lowercase__:							List[str]         =     num_channels
          lowercase__:							Optional[int]         =     image_size
          lowercase__:							Union[str, Any]         =     patch_size
          lowercase__:							int         =     hidden_sizes
          lowercase__:							List[str]         =     neck_hidden_sizes
          lowercase__:							Optional[Any]         =     num_attention_heads
          lowercase__:							str         =     mlp_ratio
          lowercase__:							Any         =     expand_ratio
          lowercase__:							str         =     hidden_act
          lowercase__:							List[str]         =     conv_kernel_size
          lowercase__:							Any         =     output_stride
          lowercase__:							str         =     hidden_dropout_prob
          lowercase__:							Any         =     attention_probs_dropout_prob
          lowercase__:							List[str]         =     classifier_dropout_prob
          lowercase__:							Union[str, Any]         =     initializer_range
          lowercase__:							Union[str, Any]         =     layer_norm_eps
          lowercase__:							Tuple         =     qkv_bias

          # decode head attributes for semantic segmentation
          lowercase__:							Union[str, Any]         =     aspp_out_channels
          lowercase__:							int         =     atrous_rates
          lowercase__:							Optional[int]         =     aspp_dropout_prob
          lowercase__:							str         =     semantic_loss_ignore_index







class 						_a  (		lowerCAmelCase_       ):





   '''simple docstring'''






   UpperCamelCase__     	=							version.parse("""1.11"""       )





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




          '''simple docstring'''




          return OrderedDict([("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"})])





   @property
   def __lowercase							(       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 __lowercase							(       self)			->   float:




          '''simple docstring'''




          return 1E-4













from __future__ import annotations




def 			lowerCAmelCase_			(				UpperCamelCase_	)  ->		int | None:
       for r in range(1       ,		UpperCamelCase_	):
              UpperCamelCase_ 							=	[]
              for x in range(n - 1	):
                     UpperCamelCase_ 							=	pow(UpperCamelCase_       ,		UpperCamelCase_       ,		UpperCamelCase_	)
                     if val in li:
                            break
                     li.append(UpperCamelCase_	)
              else:
                     return r
       return None


if __name__ == "__main__":
     _UpperCAmelCase										=					int(input('Enter a prime number q: '))
     _UpperCAmelCase										=					find_primitive(q)
     if a is None:
          print(f'''Cannot find the primitive for the value: {a!r}''')
     else:
          _UpperCAmelCase										=					int(input('Enter private key of A: '))
          _UpperCAmelCase										=					pow(a, a_private, q)
          _UpperCAmelCase										=					int(input('Enter private key of B: '))
          _UpperCAmelCase										=					pow(a, b_private, q)

          _UpperCAmelCase										=					pow(b_public, a_private, q)
          _UpperCAmelCase										=					pow(a_public, b_private, q)

          print('The key value generated by A is: ', a_secret)
          print('The key value generated by B is: ', b_secret)

