
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				=			{
    """hustvl/yolos-small""": """https://huggingface.co/hustvl/yolos-small/resolve/main/config.json""",
    # See all YOLOS models at https://huggingface.co/models?filter=yolos
}






class     UpperCAmelCase						(		A_					):
   A__   :						List[Any]			=	"yolos"



   def __init__(self						:   Optional[Any]       ,		snake_case__						:   List[Any]=7_68       ,		snake_case__						:   str=12       ,		snake_case__						:   Any=12       ,		snake_case__						:   Dict=30_72       ,		snake_case__						:   Tuple="gelu"       ,		snake_case__						:   List[str]=0.0       ,		snake_case__						:   str=0.0       ,		snake_case__						:   Optional[int]=0.02       ,		snake_case__						:   str=1e-12       ,		snake_case__						:   Dict=[5_12, 8_64]       ,		snake_case__						:   Any=16       ,		snake_case__						:   List[Any]=3       ,		snake_case__						:   Tuple=True       ,		snake_case__						:   Optional[int]=1_00       ,		snake_case__						:   Optional[int]=True       ,		snake_case__						:   Dict=False       ,		snake_case__						:   Optional[Any]=1       ,		snake_case__						:   Any=5       ,		snake_case__						:   List[Any]=2       ,		snake_case__						:   List[Any]=5       ,		snake_case__						:   List[Any]=2       ,		snake_case__						:   int=0.1       ,		**snake_case__						:   List[Any]       ,		)						->      Dict:


          '''simple docstring'''


          super().__init__(**snake_case__					)

          snake_case			:  List[str]     							= hidden_size
          snake_case			:  Tuple     							= num_hidden_layers
          snake_case			:  Union[str, Any]     							= num_attention_heads
          snake_case			:  int     							= intermediate_size
          snake_case			:  Tuple     							= hidden_act
          snake_case			:  List[str]     							= hidden_dropout_prob
          snake_case			:  Tuple     							= attention_probs_dropout_prob
          snake_case			:  Tuple     							= initializer_range
          snake_case			:  List[Any]     							= layer_norm_eps
          snake_case			:  int     							= image_size
          snake_case			:  List[str]     							= patch_size
          snake_case			:  List[str]     							= num_channels
          snake_case			:  Dict     							= qkv_bias
          snake_case			:  List[Any]     							= num_detection_tokens
          snake_case			:  Tuple     							= use_mid_position_embeddings
          snake_case			:  Optional[int]     							= auxiliary_loss
          # Hungarian matcher
          snake_case			:  Optional[Any]     							= class_cost
          snake_case			:  Dict     							= bbox_cost
          snake_case			:  int     							= giou_cost
          # Loss coefficients
          snake_case			:  List[str]     							= bbox_loss_coefficient
          snake_case			:  Union[str, Any]     							= giou_loss_coefficient
          snake_case			:  Tuple     							= eos_coefficient






class     UpperCAmelCase						(		A_					):
   A__   :						Tuple			=	version.parse("1.11"					)



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


          '''simple docstring'''


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



   @property
   def 							_SCREAMING_SNAKE_CASE  (self						:   List[Any]					)						->      float:


          '''simple docstring'''


          return 1e-4



   @property
   def 							_SCREAMING_SNAKE_CASE  (self						:   Union[str, Any]					)						->      int:


          '''simple docstring'''


          return 12







import random






class     UpperCAmelCase						:



   @staticmethod
   def 							_SCREAMING_SNAKE_CASE  (snake_case__						:   str					)						->      tuple[list[int], list[int]]:


          '''simple docstring'''


          snake_case			:  int     							= [ord(snake_case__					) for i in text]
          snake_case			:  Optional[int]     							= []
          snake_case			:  int     							= []
          for i in plain:
                 snake_case			:  List[Any]     							= random.randint(1       ,		3_00					)
                 snake_case			:  List[Any]     							= (i + k) * k
                 cipher.append(snake_case__					)
                 key.append(snake_case__					)
          return cipher, key



   @staticmethod
   def 							_SCREAMING_SNAKE_CASE  (snake_case__						:   list[int]       ,		snake_case__						:   list[int]					)						->      str:


          '''simple docstring'''


          snake_case			:  int     							= []
          for i in range(len(snake_case__					)					):
                 snake_case			:  List[str]     							= int((cipher[i] - (key[i]) ** 2) / key[i]					)
                 plain.append(chr(snake_case__					)					)
          return "".join(snake_case__					)


if __name__ == "__main__":
   __lowerCamelCase,  __lowerCamelCase				=			Onepad().encrypt("""Hello""")
   print(c, k)
   print(Onepad().decrypt(c, k))





