



from __future__ import annotations

__snake_case		:Any   	=  [-10, -5, 0, 5, 5.1, 11, 13, 21, 3, 4, -21, -10, -5, -1, 0]
__snake_case		:List[str]   	=  [-5, 0, 5, 5.1, 11, 13, 21, -1, 4, -1, -10, -5, -1, 0, -1]





def   __snake_case			(    _UpperCAmelCase       ):
    __a		 =       []
    __a		 =       len(_UpperCAmelCase       )

    for i in range(_UpperCAmelCase       ):
        __a		 =       -1
        for j in range(i + 1     ,				_UpperCAmelCase       ):
            if arr[i] < arr[j]:
                __a		 =       arr[j]
                break
        result.append(_UpperCAmelCase       )
    return result





def   __snake_case			(    _UpperCAmelCase       ):
    __a		 =       []
    for i, outer in enumerate(_UpperCAmelCase       ):
        __a		 =       -1
        for inner in arr[i + 1 :]:
            if outer < inner:
                __a		 =       inner
                break
        result.append(_UpperCAmelCase       )
    return result





def   __snake_case			(    _UpperCAmelCase       ):
    __a		 =       len(_UpperCAmelCase       )
    __a		 =       []
    __a		 =       [-1] * arr_size

    for index in reversed(range(_UpperCAmelCase       )       ):
        if stack:
            while stack[-1] <= arr[index]:
                stack.pop()
                if not stack:
                    break
        if stack:
            __a		 =       stack[-1]
        stack.append(arr[index]       )
    return result


if __name__ == "__main__":
 from doctest import testmod
 from timeit import timeit

 testmod()
 print(next_greatest_element_slow(arr))
 print(next_greatest_element_fast(arr))
 print(next_greatest_element(arr))

 __snake_case		:Tuple   	=  (
     '''from __main__ import arr, next_greatest_element_slow, '''
     '''next_greatest_element_fast, next_greatest_element'''
 )
 print(
     '''next_greatest_element_slow():''',
     timeit('''next_greatest_element_slow(arr)''', setup=setup),
 )
 print(
     '''next_greatest_element_fast():''',
     timeit('''next_greatest_element_fast(arr)''', setup=setup),
 )
 print(
     '''     next_greatest_element():''',
     timeit('''next_greatest_element(arr)''', setup=setup),
 )










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
)
__snake_case		:Tuple   	=  logging.getLogger(__name__)

if __name__ == "__main__":
 __snake_case		:Union[str, 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_0522, type=int)
 __snake_case		:List[str]   	=  parser.parse_args()

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

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





