

'''simple docstring'''
def 	_lowerCAmelCase (						_UpperCamelCase						:					list[int]							,			_UpperCamelCase						:					str    )				->      list[int]:
     """simple docstring"""




     _SCREAMING_SNAKE_CASE							   =int(_UpperCamelCase    )

     # Initialize Result
     _SCREAMING_SNAKE_CASE							   =[]

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

     return answer


# Driver Code
if __name__ == "__main__":
     lowerCamelCase			:				List[Any] 			=					[]
     lowerCamelCase			:				Optional[Any] 			=					"0"

     if (
         input("Do you want to enter your denominations ? (yY/n): ").strip().lower()
         == "y"
     ):
          lowerCamelCase			:				Union[str, Any] 			=					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()))
          lowerCamelCase			:				str 			=					input("Enter the change you want to make in Indian Currency: ").strip()
     else:
          # All denominations of Indian Currency if user does not enter
          lowerCamelCase			:				Tuple 			=					[1, 2, 5, 1_0, 2_0, 5_0, 1_0_0, 5_0_0, 2_0_0_0]
          lowerCamelCase			:				int 			=					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}: ''')
          lowerCamelCase			:				Optional[int] 			=					find_minimum_change(denominations, value)
          # Print result
          for i in range(len(answer)):
               print(answer[i], end=" ")



'''simple docstring'''
import argparse
import logging
import pickle
from collections import Counter


logging.basicConfig(
    format="%(asctime)s - %(levelname)s - %(name)s - %(message)s", datefmt="%m/%d/%Y %H:%M:%S", level=logging.INFO
)
lowerCamelCase			:				int 			=					logging.getLogger(__name__)

if __name__ == "__main__":
     lowerCamelCase			:				Optional[Any] 			=					argparse.ArgumentParser(
         description="Token Counts for smoothing the masking probabilities in MLM (cf XLM/word2vec)"
     )
     parser.add_argument(
         "--data_file", type=str, default="data/dump.bert-base-uncased.pickle", help="The binarized dataset."
     )
     parser.add_argument(
         "--token_counts_dump", type=str, default="data/token_counts.bert-base-uncased.pickle", help="The dump file."
     )
     parser.add_argument("--vocab_size", default=3_0_5_2_2, type=int)
     lowerCamelCase			:				Optional[Any] 			=					parser.parse_args()

     logger.info(f'''Loading data from {args.data_file}''')
     with open(args.data_file, "rb") as fp:
          lowerCamelCase			:				Optional[int] 			=					pickle.load(fp)

     logger.info("Counting occurrences for MLM.")
     lowerCamelCase			:				Dict 			=					Counter()
     for tk_ids in data:
          counter.update(tk_ids)
     lowerCamelCase			:				Tuple 			=					[0] * args.vocab_size
     for k, v in counter.items():
          lowerCamelCase			:				Any 			=					v

     logger.info(f'''Dump to {args.token_counts_dump}''')
     with open(args.token_counts_dump, "wb") as handle:
          pickle.dump(counts, handle, protocol=pickle.HIGHEST_PROTOCOL)
