






"""simple docstring"""


from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_UpperCamelCase    :   List[Any]   			=						logging.get_logger(__name__)

_UpperCamelCase    :   Tuple   			=						{
    'YituTech/conv-bert-base': 'https://huggingface.co/YituTech/conv-bert-base/resolve/main/config.json',
    'YituTech/conv-bert-medium-small': (
        'https://huggingface.co/YituTech/conv-bert-medium-small/resolve/main/config.json'
    ),
    'YituTech/conv-bert-small': 'https://huggingface.co/YituTech/conv-bert-small/resolve/main/config.json',
    # See all ConvBERT models at https://huggingface.co/models?filter=convbert
}






class 						snake_case  (  UpperCAmelCase	):
    __magic_name__   					=					'''convbert'''





    def __init__(							self     : Tuple    ,		A     : Optional[int]=3_0_5_2_2    ,		A     : Any=7_6_8    ,		A     : List[str]=1_2    ,		A     : int=1_2    ,		A     : Union[str, Any]=3_0_7_2    ,		A     : Dict="gelu"    ,		A     : Union[str, Any]=0.1    ,		A     : int=0.1    ,		A     : Optional[int]=5_1_2    ,		A     : Dict=2    ,		A     : Union[str, Any]=0.02    ,		A     : Union[str, Any]=1E-12    ,		A     : Union[str, Any]=1    ,		A     : Dict=0    ,		A     : str=2    ,		A     : Any=7_6_8    ,		A     : Union[str, Any]=2    ,		A     : Any=9    ,		A     : Any=1    ,		A     : Any=None    ,		**A     : Optional[int]    ,		):


      '''simple docstring'''




      super().__init__(
          pad_token_id=A    ,		bos_token_id=A    ,		eos_token_id=A    ,		**A    ,		)

      a					:      List[Any]    =       vocab_size
      a					:      List[str]    =       hidden_size
      a					:      List[Any]    =       num_hidden_layers
      a					:      List[Any]    =       num_attention_heads
      a					:      Optional[int]    =       intermediate_size
      a					:      Optional[int]    =       hidden_act
      a					:      Optional[Any]    =       hidden_dropout_prob
      a					:      Tuple    =       attention_probs_dropout_prob
      a					:      Optional[int]    =       max_position_embeddings
      a					:      Optional[int]    =       type_vocab_size
      a					:      List[Any]    =       initializer_range
      a					:      List[Any]    =       layer_norm_eps
      a					:      Tuple    =       embedding_size
      a					:      Union[str, Any]    =       head_ratio
      a					:      str    =       conv_kernel_size
      a					:      Tuple    =       num_groups
      a					:      Union[str, Any]    =       classifier_dropout






class 						snake_case  (  UpperCAmelCase	):





    @property
    def     lowerCamelCase__				(							self     : Union[str, Any]      ):


      '''simple docstring'''




      if self.task == "multiple-choice":
        a					:      Union[str, Any]    =       {0: 'batch', 1: 'choice', 2: 'sequence'}
      else:
        a					:      int    =       {0: 'batch', 1: 'sequence'}
      return OrderedDict(
          [
              ('input_ids', dynamic_axis),
              ('attention_mask', dynamic_axis),
              ('token_type_ids', dynamic_axis),
          ]      )












"""simple docstring"""


def       snake_case  (A_				:list[int]     ,      A_				:str				):







  '''simple docstring'''

  a					:      Optional[int]    =       int(A_				)

  # Initialize Result
  a					:      int    =       []

  # Traverse through all denomination
  for denomination in reversed(A_				):
    # Find denominations
    while int(A_				) >= int(A_				):
      total_value -= int(A_				)
      answer.append(A_				)  # Append the "answers" array

  return answer


# Driver Code
if __name__ == "__main__":
   _UpperCamelCase    :   Dict   			=						[]
   _UpperCamelCase    :   str   			=						'0'

   if (
       input('Do you want to enter your denominations ? (yY/n): ').strip().lower()
       == "y"
   ):
      _UpperCamelCase    :   Dict   			=						int(input('Enter the number of denominations you want to add: ').strip())

      for i in range(0, n):
         denominations.append(int(input(f'''Denomination {i}: ''').strip()))
      _UpperCamelCase    :   Optional[int]   			=						input('Enter the change you want to make in Indian Currency: ').strip()
   else:
      # All denominations of Indian Currency if user does not enter
      _UpperCamelCase    :   Union[str, Any]   			=						[1, 2, 5, 10, 20, 50, 100, 500, 2000]
      _UpperCamelCase    :   Dict   			=						input('Enter the change you want to make: ').strip()

   if int(value) == 0 or int(value) < 0:
      print('The total value cannot be zero or negative.')

   else:
      print(f'''Following is minimal change for {value}: ''')
      _UpperCamelCase    :   Tuple   			=						find_minimum_change(denominations, value)
      # Print result
      for i in range(len(answer)):
         print(answer[i], end=' ')




