



import copy
from typing import Dict

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import CONFIG_MAPPING
from ..bit import BitConfig


UpperCAmelCase :				Any							=logging.get_logger(__name__)

UpperCAmelCase :				List[str]							={
    """google/vit-hybrid-base-bit-384""": """https://huggingface.co/vit-hybrid-base-bit-384/resolve/main/config.json""",
    # See all ViT hybrid models at https://huggingface.co/models?filter=vit
}


class    _lowercase (a_   ):
				'''simple docstring'''







				lowercase__     =    """vit-hybrid"""

				def __init__(			self  ,			snake_case__=None  ,			snake_case__=768  ,			snake_case__=12  ,			snake_case__=12  ,			snake_case__=3072  ,			snake_case__="gelu"  ,			snake_case__=0.0  ,			snake_case__=0.0  ,			snake_case__=0.02  ,			snake_case__=1e-12  ,			snake_case__=224  ,			snake_case__=1  ,			snake_case__=3  ,			snake_case__=[1, 1024, 24, 24]  ,			snake_case__=True  ,			**snake_case__  ,			):

									'''simple docstring'''


									super().__init__(**snake_case__     )

									if backbone_config is None:
														logger.info("`backbone_config` is `None`. Initializing the config with a `BiT` backbone."     )
														UpperCamelCase_			= {
														    "global_padding": "same",
														    "layer_type": "bottleneck",
														    "depths": [3, 4, 9],
														    "out_features": ["stage3"],
														    "embedding_dynamic_padding": True,
														}

									if isinstance(snake_case__  ,			snake_case__     ):
														if "model_type" in backbone_config:
																			UpperCamelCase_			= CONFIG_MAPPING[backbone_config["model_type"]]
														else:
																			logger.info(
																			    "`model_type` is not found in `backbone_config`. Use `Bit` as the backbone configuration class."     )
																			UpperCamelCase_			= BitConfig
														UpperCamelCase_			= backbone_config_class(**snake_case__     )

									UpperCamelCase_			= backbone_featmap_shape
									UpperCamelCase_			= backbone_config
									UpperCamelCase_			= hidden_size
									UpperCamelCase_			= num_hidden_layers
									UpperCamelCase_			= num_attention_heads
									UpperCamelCase_			= intermediate_size
									UpperCamelCase_			= hidden_act
									UpperCamelCase_			= hidden_dropout_prob
									UpperCamelCase_			= attention_probs_dropout_prob
									UpperCamelCase_			= initializer_range
									UpperCamelCase_			= layer_norm_eps
									UpperCamelCase_			= image_size
									UpperCamelCase_			= patch_size
									UpperCamelCase_			= num_channels
									UpperCamelCase_			= qkv_bias

				def    _lowerCamelCase       (			self     ):

									'''simple docstring'''


									UpperCamelCase_			= copy.deepcopy(self.__dict__     )
									UpperCamelCase_			= self.backbone_config.to_dict()
									UpperCamelCase_			= self.__class__.model_type
									return output





import math
def 				UpperCAmelCase__		(					_SCREAMING_SNAKE_CASE :						int					)->bool:

      if 1 < number < 4:
            # 2 and 3 are primes
            return True
      elif number < 2 or number % 2 == 0 or number % 3 == 0:
            # Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
            return False

      # All primes number are in format of 6k +/- 1
      for i in range(5  ,					int(math.sqrt(_SCREAMING_SNAKE_CASE					) + 1					)  ,					6					):
            if number % i == 0 or number % (i + 2) == 0:
                  return False
      return True
def 				UpperCAmelCase__		(					_SCREAMING_SNAKE_CASE :						int = 6_0_0_8_5_1_4_7_5_1_4_3					)->int:

      try:
            _lowerCAmelCase			      =	int(_SCREAMING_SNAKE_CASE					)
      except (TypeError, ValueError):
            raise TypeError('''Parameter n must be int or castable to int.'''					)
      if n <= 0:
            raise ValueError('''Parameter n must be greater than or equal to one.'''					)
      _lowerCAmelCase			      =	0
      if is_prime(_SCREAMING_SNAKE_CASE					):
            return n
      while n % 2 == 0:
            n //= 2
      if is_prime(_SCREAMING_SNAKE_CASE					):
            return n
      for i in range(3  ,					int(math.sqrt(_SCREAMING_SNAKE_CASE					)					) + 1  ,					2					):
            if n % i == 0:
                  if is_prime(n // i					):
                        _lowerCAmelCase			      =	n // i
                        break
                  elif is_prime(_SCREAMING_SNAKE_CASE					):
                        _lowerCAmelCase			      =	i
      return max_number


if __name__ == "__main__":
    print(F"""{solution() = }""")