





"""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


a__    :   int    						= logging.get_logger(__name__)

a__    :   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    lowercase_ (   __lowerCAmelCase							):
       snake_case__ :							Optional[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=3072      ,    __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, 1024, 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."   )
         snake_case__										= {
             "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:
          snake_case__										= CONFIG_MAPPING[backbone_config["model_type"]]
         else:
          logger.info(
              "`model_type` is not found in `backbone_config`. Use `Bit` as the backbone configuration class."   )
          snake_case__										= BitConfig
         snake_case__										= backbone_config_class(**__SCREAMING_SNAKE_CASE   )

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

       def 						_SCREAMING_SNAKE_CASE(	self   ):






        '''simple docstring'''

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








"""simple docstring"""


from __future__ import annotations





def 							a__	(     _UpperCAmelCase		,   _UpperCAmelCase		,   _UpperCAmelCase		,   )			->     list[float | int]:

 '''simple docstring'''






 if not all((nth_term, start_term_a, common_ratio_r)		):
  return []
 snake_case__										= []
 snake_case__										= 1
 snake_case__										= common_ratio_r
 for _ in range(int(_UpperCAmelCase		)		):
  if not series:
   series.append(_UpperCAmelCase		)
  else:
   power += 1
   series.append(float(start_term_a * multiple		)		)
   snake_case__										= pow(float(_UpperCAmelCase		)		,   _UpperCAmelCase		)
 return series


if __name__ == "__main__":
   import doctest

   doctest.testmod()

   a__    :   int    						= float(input("""Enter the last number (n term) of the Geometric Series"""))
   a__    :   str    						= float(input("""Enter the starting term (a) of the Geometric Series"""))
   a__    :   str    						= float(
       input("""Enter the common ratio between two terms (r) of the Geometric Series""")
   )
   print("""Formula of Geometric Series => a + ar + ar^2 ... +ar^n""")
   print(geometric_series(nth_term, start_term_a, common_ratio_r))

