


'''simple docstring'''

from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowercase__					  =		logging.get_logger(__name__)

lowercase__					  =		{
    "dandelin/vilt-b32-mlm": "https://huggingface.co/dandelin/vilt-b32-mlm/blob/main/config.json"
}





class     __SCREAMING_SNAKE_CASE       (   lowerCamelCase__			):
     UpperCAmelCase			       =					'''vilt'''






     def __init__(      self  ,				__UpperCamelCase=30_522  ,				__UpperCamelCase=2  ,				__UpperCamelCase=2  ,				__UpperCamelCase=40  ,				__UpperCamelCase=768  ,				__UpperCamelCase=12  ,				__UpperCamelCase=12  ,				__UpperCamelCase=3_072  ,				__UpperCamelCase="gelu"  ,				__UpperCamelCase=0.0  ,				__UpperCamelCase=0.0  ,				__UpperCamelCase=0.02  ,				__UpperCamelCase=1e-12  ,				__UpperCamelCase=384  ,				__UpperCamelCase=32  ,				__UpperCamelCase=3  ,				__UpperCamelCase=True  ,				__UpperCamelCase=-1  ,				__UpperCamelCase=False  ,				__UpperCamelCase=-1  ,				**__UpperCamelCase  ,				)							->     int:
          super().__init__(tie_word_embeddings=__UpperCamelCase  ,				**__UpperCamelCase		)

          _a            =		vocab_size
          _a            =		type_vocab_size
          _a            =		modality_type_vocab_size
          _a            =		max_position_embeddings

          _a            =		hidden_size
          _a            =		num_hidden_layers
          _a            =		num_attention_heads
          _a            =		intermediate_size
          _a            =		hidden_act
          _a            =		hidden_dropout_prob
          _a            =		attention_probs_dropout_prob
          _a            =		initializer_range
          _a            =		layer_norm_eps

          _a            =		image_size
          _a            =		patch_size
          _a            =		num_channels
          _a            =		qkv_bias
          _a            =		max_image_length
          _a            =		num_images





'''simple docstring'''

from __future__ import annotations






def __UpperCamelCase (      __lowerCamelCase		:			float | int   ,	__lowerCamelCase		:			float | int   ,	__lowerCamelCase		:			float | int   ,	)   ->  list[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(__lowerCamelCase					)					):
          if not series:
               series.append(__lowerCamelCase					)
          else:
               power += 1
               series.append(float(start_term_a * multiple					)					)
               _a            =		pow(float(__lowerCamelCase					)   ,	__lowerCamelCase					)
     return series


if __name__ == "__main__":
   import doctest

   doctest.testmod()

   lowercase__					  =		float(input("Enter the last number (n term) of the Geometric Series"))
   lowercase__					  =		float(input("Enter the starting term (a) of the Geometric Series"))
   lowercase__					  =		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))

