




'''simple docstring'''






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


lowercase	:      Optional[Any]       	=       logging.get_logger(__name__)

lowercase	:      Optional[int]       	=       {
    '''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   SCREAMING_SNAKE_CASE_		(       lowerCamelCase_				):
 __snake_case	:     Optional[int]			   =      "vit-hybrid"



 def __init__(  self   ,		A=None   ,		A=768   ,		A=12   ,		A=12   ,		A=3072   ,		A="gelu"   ,		A=0.0   ,		A=0.0   ,		A=0.0_2   ,		A=1E-12   ,		A=224   ,		A=1   ,		A=3   ,		A=[1, 1024, 24, 24]   ,		A=True   ,		**A   ,		):






        '''simple docstring'''




        super().__init__(**A )

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

        if isinstance(A   ,		A ):
               if "model_type" in backbone_config:
                      lowercase  :		str						=      CONFIG_MAPPING[backbone_config['''model_type''']]
               else:
                      logger.info(
                          '''`model_type` is not found in `backbone_config`. Use `Bit` as the backbone configuration class.''' )
                      lowercase  :		Union[str, Any]						=      BitConfig
               lowercase  :		Dict						=      backbone_config_class(**A )

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





 def    SCREAMING_SNAKE_CASE(  self ):






        '''simple docstring'''




        lowercase  :		Union[str, Any]						=      copy.deepcopy(self.__dict__ )
        lowercase  :		Any						=      self.backbone_config.to_dict()
        lowercase  :		Any						=      self.__class__.model_type
        return output










'''simple docstring'''






import math
from timeit import timeit




def 		a_( lowerCamelCase      )				->int:






       '''simple docstring'''




       lowercase  :		Dict						=      0
       lowercase  :		Union[str, Any]						=      abs(lowerCamelCase      )
       while True:
              lowercase  :		List[Any]						=      n // 10
              digits += 1
              if n == 0:
                     break
       return digits




def 		a_( lowerCamelCase      )				->int:






       '''simple docstring'''




       return 1 if n == 0 else math.floor(math.log(abs(lowerCamelCase      )   ,				10      ) + 1      )




def 		a_( lowerCamelCase      )				->int:






       '''simple docstring'''




       return len(str(abs(lowerCamelCase      )      )      )




def 		a_( )				->None:






       '''simple docstring'''




       from collections.abc import Callable

       def benchmark_a_function(lowerCamelCase   ,				lowerCamelCase      ) -> None:
              lowercase  :		str						=      f"""{func.__name__}({value})"""
              lowercase  :		Optional[Any]						=      timeit(f"""__main__.{call}"""   ,				setup='''import __main__'''      )
              print(f"""{call}: {func(lowerCamelCase      )} -- {timing} seconds"""      )

       for value in (26_2144, 1125_8999_0684_2624, 126_7650_6002_2822_9401_4967_0320_5376):
              for func in (num_digits, num_digits_fast, num_digits_faster):
                     benchmark_a_function(lowerCamelCase   ,				lowerCamelCase      )
              print()


if __name__ == "__main__":
      import doctest

      doctest.testmod()
      benchmark()




