



import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import AutoConfig
from ..clip.configuration_clip import CLIPVisionConfig


A_		:  str										=  logging.get_logger(__name__)



class 		_lowercase		(							UpperCAmelCase__						):
   _UpperCAmelCase  						=      '''vision-text-dual-encoder'''
   _UpperCAmelCase  						=      True

   def __init__(   self      :							Dict				, __lowerCAmelCase      :							Any=512				, __lowerCAmelCase      :							Any=2.6_5_9_2				, **__lowerCAmelCase      :							str				)							->					Optional[int]:


    """simple docstring"""






    super().__init__(**__lowerCAmelCase				)

    if "vision_config" not in kwargs:
     raise ValueError("`vision_config` can not be `None`."				)

    if "text_config" not in kwargs:
     raise ValueError("`text_config` can not be `None`."				)

    a							=		kwargs.pop("vision_config"				)
    a							=		kwargs.pop("text_config"				)

    a							=		vision_config.pop("model_type"				)
    a							=		text_config.pop("model_type"				)

    if vision_model_type == "clip":
     a							=		AutoConfig.for_model(__lowerCAmelCase				, **__lowerCAmelCase				).vision_config
    elif vision_model_type == "clip_vision_model":
     a							=		CLIPVisionConfig(**__lowerCAmelCase				)
    else:
     a							=		AutoConfig.for_model(__lowerCAmelCase				, **__lowerCAmelCase				)

    a							=		AutoConfig.for_model(__lowerCAmelCase				, **__lowerCAmelCase				)

    a							=		projection_dim
    a							=		logit_scale_init_value

   @classmethod
   def 		A				(   cls      :							str				, __lowerCAmelCase      :							PretrainedConfig				, __lowerCAmelCase      :							PretrainedConfig				, **__lowerCAmelCase      :							Optional[Any]				)							->					Union[str, Any]:


    """simple docstring"""






    return cls(vision_config=vision_config.to_dict()				, text_config=text_config.to_dict()				, **__lowerCAmelCase				)




   def 		A				(   self      :							str				)							->					int:


    """simple docstring"""






    a							=		copy.deepcopy(self.__dict__				)
    a							=		self.vision_config.to_dict()
    a							=		self.text_config.to_dict()
    a							=		self.__class__.model_type
    return output






from __future__ import annotations


def 						UpperCAmelCase__   (   UpperCAmelCase__			:float | int			,       UpperCAmelCase__			:float | int			,       UpperCAmelCase__			:float | int			,       ):






 '''simple docstring'''

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


if __name__ == "__main__":
     import doctest

     doctest.testmod()

     A_		:  Optional[Any]										=  float(input('''Enter the last number (n term) of the Geometric Series'''))
     A_		:  Optional[Any]										=  float(input('''Enter the starting term (a) of the Geometric Series'''))
     A_		:  Optional[int]										=  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))

