
import random

def 		UpperCamelCase	(      lowercase_   )		->	bool:


  '''simple docstring'''






  lowercase__  :   Optional[Any]    		=      num - 1
  lowercase__  :   Tuple    		=      0

  while s % 2 == 0:
    lowercase__  :   int    		=      s // 2
    t += 1

  for _ in range(5   ):
    lowercase__  :   Dict    		=      random.randrange(2 , num - 1   )
    lowercase__  :   List[Any]    		=      pow(lowercase_ , lowercase_ , lowercase_   )
    if v != 1:
      lowercase__  :   str    		=      0
      while v != (num - 1):
        if i == t - 1:
          return False
        else:
          lowercase__  :   Optional[int]    		=      i + 1
          lowercase__  :   List[str]    		=      (v**2) % num
  return True

def 		UpperCamelCase	(      lowercase_   )		->	bool:


  '''simple docstring'''






  if num < 2:
    return False

  lowercase__  :   str    		=      [
      2,
      3,
      5,
      7,
      11,
      13,
      17,
      19,
      23,
      29,
      31,
      37,
      41,
      43,
      47,
      53,
      59,
      61,
      67,
      71,
      73,
      79,
      83,
      89,
      97,
      1_01,
      1_03,
      1_07,
      1_09,
      1_13,
      1_27,
      1_31,
      1_37,
      1_39,
      1_49,
      1_51,
      1_57,
      1_63,
      1_67,
      1_73,
      1_79,
      1_81,
      1_91,
      1_93,
      1_97,
      1_99,
      2_11,
      2_23,
      2_27,
      2_29,
      2_33,
      2_39,
      2_41,
      2_51,
      2_57,
      2_63,
      2_69,
      2_71,
      2_77,
      2_81,
      2_83,
      2_93,
      3_07,
      3_11,
      3_13,
      3_17,
      3_31,
      3_37,
      3_47,
      3_49,
      3_53,
      3_59,
      3_67,
      3_73,
      3_79,
      3_83,
      3_89,
      3_97,
      4_01,
      4_09,
      4_19,
      4_21,
      4_31,
      4_33,
      4_39,
      4_43,
      4_49,
      4_57,
      4_61,
      4_63,
      4_67,
      4_79,
      4_87,
      4_91,
      4_99,
      5_03,
      5_09,
      5_21,
      5_23,
      5_41,
      5_47,
      5_57,
      5_63,
      5_69,
      5_71,
      5_77,
      5_87,
      5_93,
      5_99,
      6_01,
      6_07,
      6_13,
      6_17,
      6_19,
      6_31,
      6_41,
      6_43,
      6_47,
      6_53,
      6_59,
      6_61,
      6_73,
      6_77,
      6_83,
      6_91,
      7_01,
      7_09,
      7_19,
      7_27,
      7_33,
      7_39,
      7_43,
      7_51,
      7_57,
      7_61,
      7_69,
      7_73,
      7_87,
      7_97,
      8_09,
      8_11,
      8_21,
      8_23,
      8_27,
      8_29,
      8_39,
      8_53,
      8_57,
      8_59,
      8_63,
      8_77,
      8_81,
      8_83,
      8_87,
      9_07,
      9_11,
      9_19,
      9_29,
      9_37,
      9_41,
      9_47,
      9_53,
      9_67,
      9_71,
      9_77,
      9_83,
      9_91,
      9_97,
  ]

  if num in low_primes:
    return True

  for prime in low_primes:
    if (num % prime) == 0:
      return False

  return rabin_miller(lowercase_   )

def 		UpperCamelCase	(      lowercase_ = 10_24   )		->	int:


  '''simple docstring'''






  while True:
    lowercase__  :   Dict    		=      random.randrange(2 ** (keysize - 1) , 2 ** (keysize)   )
    if is_prime_low_num(lowercase_   ):
      return num


if __name__ == "__main__":
     lowerCamelCase__    :		int          =   generate_large_prime()
     print(("""Prime number:""", num))
     print(("""is_prime_low_num:""", is_prime_low_num(num)))








import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..bit import BitConfig


lowerCamelCase__    :		List[str]          =   logging.get_logger(__name__)

lowerCamelCase__    :		str          =   {
    """Intel/dpt-large""": """https://huggingface.co/Intel/dpt-large/resolve/main/config.json""",
    # See all DPT models at https://huggingface.co/models?filter=dpt
}



class       _snake_case   (	UpperCAmelCase_							):
 __lowerCAmelCase  :     Optional[int]        =			'dpt'


 def __init__(					self					,  SCREAMING_SNAKE_CASE_=7_68					,  SCREAMING_SNAKE_CASE_=12					,  SCREAMING_SNAKE_CASE_=12					,  SCREAMING_SNAKE_CASE_=30_72					,  SCREAMING_SNAKE_CASE_="gelu"					,  SCREAMING_SNAKE_CASE_=0.0					,  SCREAMING_SNAKE_CASE_=0.0					,  SCREAMING_SNAKE_CASE_=0.0_2					,  SCREAMING_SNAKE_CASE_=1E-12					,  SCREAMING_SNAKE_CASE_=3_84					,  SCREAMING_SNAKE_CASE_=16					,  SCREAMING_SNAKE_CASE_=3					,  SCREAMING_SNAKE_CASE_=False					,  SCREAMING_SNAKE_CASE_=True					,  SCREAMING_SNAKE_CASE_=[2, 5, 8, 11]					,  SCREAMING_SNAKE_CASE_="project"					,  SCREAMING_SNAKE_CASE_=[4, 2, 1, 0.5]					,  SCREAMING_SNAKE_CASE_=[96, 1_92, 3_84, 7_68]					,  SCREAMING_SNAKE_CASE_=2_56					,  SCREAMING_SNAKE_CASE_=-1					,  SCREAMING_SNAKE_CASE_=False					,  SCREAMING_SNAKE_CASE_=True					,  SCREAMING_SNAKE_CASE_=0.4					,  SCREAMING_SNAKE_CASE_=2_55					,  SCREAMING_SNAKE_CASE_=0.1					,  SCREAMING_SNAKE_CASE_=[1, 10_24, 24, 24]					,  SCREAMING_SNAKE_CASE_=[0, 1]					,  SCREAMING_SNAKE_CASE_=None					,  **SCREAMING_SNAKE_CASE_					,  ):


   '''simple docstring'''




   super().__init__(**SCREAMING_SNAKE_CASE_)

   lowercase__  :   List[str]    		=      hidden_size
   lowercase__  :   str    		=      is_hybrid

   if self.is_hybrid:
     if backbone_config is None:
       logger.info("""Initializing the config with a `BiT` backbone.""")
       lowercase__  :   Any    		=      {
           """global_padding""": """same""",
           """layer_type""": """bottleneck""",
           """depths""": [3, 4, 9],
           """out_features""": ["""stage1""", """stage2""", """stage3"""],
           """embedding_dynamic_padding""": True,
       }
       lowercase__  :   Optional[Any]    		=      BitConfig(**SCREAMING_SNAKE_CASE_)
     elif isinstance(SCREAMING_SNAKE_CASE_					,  SCREAMING_SNAKE_CASE_):
       logger.info("""Initializing the config with a `BiT` backbone.""")
       lowercase__  :   List[Any]    		=      BitConfig(**SCREAMING_SNAKE_CASE_)
     elif isinstance(SCREAMING_SNAKE_CASE_					,  SCREAMING_SNAKE_CASE_):
       lowercase__  :   int    		=      backbone_config
     else:
       raise ValueError(
           f'backbone_config must be a dictionary or a `PretrainedConfig`, got {backbone_config.__class__}.')

     lowercase__  :   Optional[Any]    		=      backbone_featmap_shape
     lowercase__  :   List[str]    		=      neck_ignore_stages

     if readout_type != "project":
       raise ValueError("""Readout type must be 'project' when using `DPT-hybrid` mode.""")
   else:
     lowercase__  :   Optional[int]    		=      None
     lowercase__  :   Union[str, Any]    		=      None
     lowercase__  :   Tuple    		=      []

   lowercase__  :   List[str]    		=      num_hidden_layers
   lowercase__  :   Union[str, Any]    		=      num_attention_heads
   lowercase__  :   List[Any]    		=      intermediate_size
   lowercase__  :   Optional[Any]    		=      hidden_act
   lowercase__  :   int    		=      hidden_dropout_prob
   lowercase__  :   str    		=      attention_probs_dropout_prob
   lowercase__  :   Dict    		=      initializer_range
   lowercase__  :   Tuple    		=      layer_norm_eps
   lowercase__  :   List[str]    		=      image_size
   lowercase__  :   Tuple    		=      patch_size
   lowercase__  :   Tuple    		=      num_channels
   lowercase__  :   Dict    		=      qkv_bias
   lowercase__  :   List[Any]    		=      backbone_out_indices
   if readout_type not in ["ignore", "add", "project"]:
     raise ValueError("""Readout_type must be one of ['ignore', 'add', 'project']""")
   lowercase__  :   Dict    		=      readout_type
   lowercase__  :   Tuple    		=      reassemble_factors
   lowercase__  :   Any    		=      neck_hidden_sizes
   lowercase__  :   Dict    		=      fusion_hidden_size
   lowercase__  :   Tuple    		=      head_in_index
   lowercase__  :   Tuple    		=      use_batch_norm_in_fusion_residual
   # auxiliary head attributes (semantic segmentation)
   lowercase__  :   Tuple    		=      use_auxiliary_head
   lowercase__  :   int    		=      auxiliary_loss_weight
   lowercase__  :   Union[str, Any]    		=      semantic_loss_ignore_index
   lowercase__  :   str    		=      semantic_classifier_dropout



 def      lowercase__     (					self):


   '''simple docstring'''




   lowercase__  :   Optional[int]    		=      copy.deepcopy(self.__dict__)

   if output["backbone_config"] is not None:
     lowercase__  :   Optional[Any]    		=      self.backbone_config.to_dict()

   lowercase__  :   Dict    		=      self.__class__.model_type
   return output






