


from collections import OrderedDict
from typing import Mapping

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


__UpperCamelCase				:				Tuple  				= logging.get_logger(__name__)

__UpperCamelCase				:				List[str]  				= {
    "facebook/xmod-base": "https://huggingface.co/facebook/xmod-base/resolve/main/config.json",
    "facebook/xmod-large-prenorm": "https://huggingface.co/facebook/xmod-large-prenorm/resolve/main/config.json",
    "facebook/xmod-base-13-125k": "https://huggingface.co/facebook/xmod-base-13-125k/resolve/main/config.json",
    "facebook/xmod-base-30-125k": "https://huggingface.co/facebook/xmod-base-30-125k/resolve/main/config.json",
    "facebook/xmod-base-30-195k": "https://huggingface.co/facebook/xmod-base-30-195k/resolve/main/config.json",
    "facebook/xmod-base-60-125k": "https://huggingface.co/facebook/xmod-base-60-125k/resolve/main/config.json",
    "facebook/xmod-base-60-265k": "https://huggingface.co/facebook/xmod-base-60-265k/resolve/main/config.json",
    "facebook/xmod-base-75-125k": "https://huggingface.co/facebook/xmod-base-75-125k/resolve/main/config.json",
    "facebook/xmod-base-75-269k": "https://huggingface.co/facebook/xmod-base-75-269k/resolve/main/config.json",
}

class 					__magic_name__		(   __lowerCAmelCase):
     A:						Any								=					'xmod'


     def __init__(					self							:   Tuple							,		lowerCamelCase__							:   Dict=30522							,		lowerCamelCase__							:   Any=768							,		lowerCamelCase__							:   Any=12							,		lowerCamelCase__							:   List[Any]=12							,		lowerCamelCase__							:   int=3072							,		lowerCamelCase__							:   List[str]="gelu"							,		lowerCamelCase__							:   Dict=0.1							,		lowerCamelCase__							:   List[Any]=0.1							,		lowerCamelCase__							:   str=512							,		lowerCamelCase__							:   Dict=2							,		lowerCamelCase__							:   List[Any]=0.02							,		lowerCamelCase__							:   Tuple=1E-1_2							,		lowerCamelCase__							:   Any=1							,		lowerCamelCase__							:   Union[str, Any]=0							,		lowerCamelCase__							:   Optional[Any]=2							,		lowerCamelCase__							:   Optional[Any]="absolute"							,		lowerCamelCase__							:   Dict=True							,		lowerCamelCase__							:   List[Any]=None							,		lowerCamelCase__							:   Dict=False							,		lowerCamelCase__							:   str=2							,		lowerCamelCase__							:   Optional[Any]=False							,		lowerCamelCase__							:   List[Any]=True							,		lowerCamelCase__							:   Dict=True							,		lowerCamelCase__							:   Union[str, Any]=("en_XX",)							,		lowerCamelCase__							:   List[str]=None							,		**lowerCamelCase__							:   str							,		)     ->					List[str]:





      '''simple docstring'''






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

      UpperCamelCase__    :			List[str]      				=      vocab_size
      UpperCamelCase__    :			List[str]      				=      hidden_size
      UpperCamelCase__    :			Tuple      				=      num_hidden_layers
      UpperCamelCase__    :			Optional[Any]      				=      num_attention_heads
      UpperCamelCase__    :			Union[str, Any]      				=      hidden_act
      UpperCamelCase__    :			str      				=      intermediate_size
      UpperCamelCase__    :			List[str]      				=      hidden_dropout_prob
      UpperCamelCase__    :			List[Any]      				=      attention_probs_dropout_prob
      UpperCamelCase__    :			List[str]      				=      max_position_embeddings
      UpperCamelCase__    :			Optional[int]      				=      type_vocab_size
      UpperCamelCase__    :			Tuple      				=      initializer_range
      UpperCamelCase__    :			str      				=      layer_norm_eps
      UpperCamelCase__    :			Dict      				=      position_embedding_type
      UpperCamelCase__    :			Tuple      				=      use_cache
      UpperCamelCase__    :			Dict      				=      classifier_dropout
      UpperCamelCase__    :			int      				=      pre_norm
      UpperCamelCase__    :			str      				=      adapter_reduction_factor
      UpperCamelCase__    :			Dict      				=      adapter_layer_norm
      UpperCamelCase__    :			Union[str, Any]      				=      adapter_reuse_layer_norm
      UpperCamelCase__    :			List[str]      				=      ln_before_adapter
      UpperCamelCase__    :			Optional[int]      				=      list(lowerCamelCase__	)
      UpperCamelCase__    :			Optional[Any]      				=      default_language



class 					__magic_name__		(   __lowerCAmelCase):


     @property
     def    UpperCAmelCase__		(					self							:   Optional[int]	)     ->					Mapping[str, Mapping[int, str]]:





      '''simple docstring'''






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







'''simple docstring'''





def lowerCAmelCase  (__A  ,	__A):



     """simple docstring"""



     _a      =  int(__A)

     # Initialize Result
     _a      =  []

     # 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__":
  lowercase_		       =  []
  lowercase_		       =  "0"

  if (
      input("Do you want to enter your denominations ? (yY/n): ").strip().lower()
      == "y"
  ):
    lowercase_		       =  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()))
    lowercase_		       =  input("Enter the change you want to make in Indian Currency: ").strip()
  else:
    # All denominations of Indian Currency if user does not enter
    lowercase_		       =  [1, 2, 5, 10, 20, 50, 100, 500, 2_000]
    lowercase_		       =  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}: """)
    lowercase_		       =  find_minimum_change(denominations, value)
    # Print result
    for i in range(len(answer)):
      print(answer[i], end=" ")



