



def  _lowerCAmelCase     (_lowerCAmelCase ,						_lowerCAmelCase ,						_lowerCAmelCase):
					assert b != 0, "This cannot accept modulo that is == 0"
					if n == 0:
										return 1

					if n % 2 == 1:
										return (bin_exp_mod(_lowerCAmelCase ,						n - 1 ,						_lowerCAmelCase) * a) % b

					UpperCamelCase_			= bin_exp_mod(_lowerCAmelCase ,						n / 2 ,						_lowerCAmelCase)
					return (r * r) % b


if __name__ == "__main__":
	try:
		UpperCAmelCase :				List[Any]							=int(input("""Enter Base : """).strip())
		UpperCAmelCase :				Optional[Any]							=int(input("""Enter Power : """).strip())
		UpperCAmelCase :				Dict							=int(input("""Enter Modulo : """).strip())
	except ValueError:
		print("""Invalid literal for integer""")

	print(bin_exp_mod(BASE, POWER, MODULO))






'''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




