


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			:			Tuple			      =					logging.get_logger(__name__)

__UpperCAmelCase			:			Optional[Any]			      =					{
    "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  UpperCAmelCase_						(				_a):
       '''simple docstring'''
       __UpperCamelCase   :  int				=       "vit-hybrid"






       def __init__(  self			,       __SCREAMING_SNAKE_CASE=None			,       __SCREAMING_SNAKE_CASE=768			,       __SCREAMING_SNAKE_CASE=12			,       __SCREAMING_SNAKE_CASE=12			,       __SCREAMING_SNAKE_CASE=3_072			,       __SCREAMING_SNAKE_CASE="gelu"			,       __SCREAMING_SNAKE_CASE=0.0			,       __SCREAMING_SNAKE_CASE=0.0			,       __SCREAMING_SNAKE_CASE=0.02			,       __SCREAMING_SNAKE_CASE=1e-12			,       __SCREAMING_SNAKE_CASE=224			,       __SCREAMING_SNAKE_CASE=1			,       __SCREAMING_SNAKE_CASE=3			,       __SCREAMING_SNAKE_CASE=[1, 1_024, 24, 24]			,       __SCREAMING_SNAKE_CASE=True			,       **__SCREAMING_SNAKE_CASE			,       ):




              """simple docstring"""




              super().__init__(**__SCREAMING_SNAKE_CASE    )

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

              if isinstance(__SCREAMING_SNAKE_CASE			,       __SCREAMING_SNAKE_CASE    ):
                     if "model_type" in backbone_config:
                            UpperCamelCase     :						Dict 						=		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     :						Tuple 						=		BitConfig
                     UpperCamelCase     :						Optional[int] 						=		backbone_config_class(**__SCREAMING_SNAKE_CASE    )

              UpperCamelCase     :						List[Any] 						=		backbone_featmap_shape
              UpperCamelCase     :						int 						=		backbone_config
              UpperCamelCase     :						List[str] 						=		hidden_size
              UpperCamelCase     :						List[Any] 						=		num_hidden_layers
              UpperCamelCase     :						List[Any] 						=		num_attention_heads
              UpperCamelCase     :						Dict 						=		intermediate_size
              UpperCamelCase     :						Optional[int] 						=		hidden_act
              UpperCamelCase     :						List[str] 						=		hidden_dropout_prob
              UpperCamelCase     :						int 						=		attention_probs_dropout_prob
              UpperCamelCase     :						List[str] 						=		initializer_range
              UpperCamelCase     :						Optional[int] 						=		layer_norm_eps
              UpperCamelCase     :						Optional[int] 						=		image_size
              UpperCamelCase     :						Optional[Any] 						=		patch_size
              UpperCamelCase     :						List[str] 						=		num_channels
              UpperCamelCase     :						List[str] 						=		qkv_bias






       def 			_lowercase (  self    ):




              """simple docstring"""




              UpperCamelCase     :						Optional[int] 						=		copy.deepcopy(self.__dict__    )
              UpperCamelCase     :						List[str] 						=		self.backbone_config.to_dict()
              UpperCamelCase     :						List[str] 						=		self.__class__.model_type
              return output





def   a						(				SCREAMING_SNAKE_CASE_   :		Any							):






       """simple docstring"""





       UpperCamelCase     :						int 						=		len(SCREAMING_SNAKE_CASE_							)
       for i in range(length - 1							):
              UpperCamelCase     :						Optional[int] 						=		False
              for j in range(length - 1 - i							):
                     if collection[j] > collection[j + 1]:
                            UpperCamelCase     :						Optional[int] 						=		True
                            UpperCamelCase						,			UpperCamelCase     :						Union[str, Any] 						=		collection[j + 1], collection[j]
              if not swapped:
                     break  # Stop iteration if the collection is sorted.
       return collection


if __name__ == "__main__":
  import doctest
  import time

  doctest.testmod()

  __UpperCAmelCase			:			Any			      =					input("Enter numbers separated by a comma:").strip()
  __UpperCAmelCase			:			List[str]			      =					[int(item) for item in user_input.split(",")]
  __UpperCAmelCase			:			List[Any]			      =					time.process_time()
  print(*bubble_sort(unsorted), sep=",")
  print(f'''Processing time: {(time.process_time() - start)%1E9 + 7}''')

