






"""simple docstring"""



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


_UpperCamelCase		:  int						=		logging.get_logger(__name__)

_UpperCamelCase		:  Dict						=		{
    'dandelin/vilt-b32-mlm': 'https://huggingface.co/dandelin/vilt-b32-mlm/blob/main/config.json'
}

class 	a					(       a_     ):
    UpperCAmelCase_			:					Optional[int]     					="vilt"







    def __init__(      self							,		_lowerCamelCase=3_0_5_2_2							,		_lowerCamelCase=2							,		_lowerCamelCase=2							,		_lowerCamelCase=4_0							,		_lowerCamelCase=7_6_8							,		_lowerCamelCase=1_2							,		_lowerCamelCase=1_2							,		_lowerCamelCase=3_0_7_2							,		_lowerCamelCase="gelu"							,		_lowerCamelCase=0.0							,		_lowerCamelCase=0.0							,		_lowerCamelCase=0.0_2							,		_lowerCamelCase=1e-12							,		_lowerCamelCase=3_8_4							,		_lowerCamelCase=3_2							,		_lowerCamelCase=3							,		_lowerCamelCase=True							,		_lowerCamelCase=-1							,		_lowerCamelCase=False							,		_lowerCamelCase=-1							,		**_lowerCamelCase							,		):
      super().__init__(tie_word_embeddings=_lowerCamelCase							,		**_lowerCamelCase	)

      lowercase							   =	vocab_size
      lowercase							   =	type_vocab_size
      lowercase							   =	modality_type_vocab_size
      lowercase							   =	max_position_embeddings

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

      lowercase							   =	image_size
      lowercase							   =	patch_size
      lowercase							   =	num_channels
      lowercase							   =	qkv_bias
      lowercase							   =	max_image_length
      lowercase							   =	num_images










"""simple docstring"""



def 						_SCREAMING_SNAKE_CASE			(   __snake_case      :  str   ):





  '''simple docstring'''





  lowercase							   =	len(__snake_case   )
  lowercase							   =	[0] * length
  lowercase							   =	[[False for i in range(__snake_case   )] for j in range(__snake_case   )]
  for i, c in enumerate(__snake_case   ):
    lowercase							   =	i
    for j in range(i + 1   ):
      if c == string[j] and (i - j < 2 or is_palindromic[j + 1][i - 1]):
        lowercase							   =	True
        lowercase							   =	min(__snake_case		, 0 if j == 0 else (cut[j - 1] + 1)   )
    lowercase							   =	mincut
  return cut[length - 1]


if __name__ == "__main__":
    _UpperCamelCase		:  List[Any]						=		input('Enter the string: ').strip()
    _UpperCamelCase		:  List[Any]						=		find_minimum_partitions(s)
    print(F'''Minimum number of partitions required for the \'{s}\' is {ans}''')


