




from collections.abc import Sequence
from queue import Queue

class   __a:






    """simple docstring"""





    def __init__(				self       ,_SCREAMING_SNAKE_CASE       ,_SCREAMING_SNAKE_CASE       ,_SCREAMING_SNAKE_CASE       ,_SCREAMING_SNAKE_CASE=None       ,_SCREAMING_SNAKE_CASE=None  )			->		Tuple:
         UpperCAmelCase_      :							List[Any]       =      start
         UpperCAmelCase_      :							Dict       =      end
         UpperCAmelCase_      :							Any       =      val
         UpperCAmelCase_      :							List[Any]       =      (start + end) // 2
         UpperCAmelCase_      :							Optional[int]       =      left
         UpperCAmelCase_      :							Union[str, Any]       =      right





    def __repr__(				self  )			->		Optional[Any]:
         return f'''SegmentTreeNode(start={self.start}, end={self.end}, val={self.val})'''


class   __a:






    """simple docstring"""





    def __init__(				self       ,_SCREAMING_SNAKE_CASE       ,_SCREAMING_SNAKE_CASE  )			->		Tuple:
         UpperCAmelCase_      :							Optional[Any]       =      collection
         UpperCAmelCase_      :							Optional[int]       =      function
         if self.collection:
              UpperCAmelCase_      :							Dict       =      self._build_tree(0       ,len(_SCREAMING_SNAKE_CASE  ) - 1  )





    def 							a__				(				self       ,_SCREAMING_SNAKE_CASE       ,_SCREAMING_SNAKE_CASE  )			->		List[str]:
         self._update_tree(self.root       ,_SCREAMING_SNAKE_CASE       ,_SCREAMING_SNAKE_CASE  )





    def 							a__				(				self       ,_SCREAMING_SNAKE_CASE       ,_SCREAMING_SNAKE_CASE  )			->		str:
         return self._query_range(self.root       ,_SCREAMING_SNAKE_CASE       ,_SCREAMING_SNAKE_CASE  )





    def 							a__				(				self       ,_SCREAMING_SNAKE_CASE       ,_SCREAMING_SNAKE_CASE  )			->		Union[str, Any]:
         if start == end:
              return SegmentTreeNode(_SCREAMING_SNAKE_CASE       ,_SCREAMING_SNAKE_CASE       ,self.collection[start]  )
         UpperCAmelCase_      :							int       =      (start + end) // 2
         UpperCAmelCase_      :							Tuple       =      self._build_tree(_SCREAMING_SNAKE_CASE       ,_SCREAMING_SNAKE_CASE  )
         UpperCAmelCase_      :							Dict       =      self._build_tree(mid + 1       ,_SCREAMING_SNAKE_CASE  )
         return SegmentTreeNode(_SCREAMING_SNAKE_CASE       ,_SCREAMING_SNAKE_CASE       ,self.fn(left.val       ,right.val  )       ,_SCREAMING_SNAKE_CASE       ,_SCREAMING_SNAKE_CASE  )





    def 							a__				(				self       ,_SCREAMING_SNAKE_CASE       ,_SCREAMING_SNAKE_CASE       ,_SCREAMING_SNAKE_CASE  )			->		Any:
         if node.start == i and node.end == i:
              UpperCAmelCase_      :							List[Any]       =      val
              return
         if i <= node.mid:
              self._update_tree(node.left       ,_SCREAMING_SNAKE_CASE       ,_SCREAMING_SNAKE_CASE  )
         else:
              self._update_tree(node.right       ,_SCREAMING_SNAKE_CASE       ,_SCREAMING_SNAKE_CASE  )
         UpperCAmelCase_      :							str       =      self.fn(node.left.val       ,node.right.val  )





    def 							a__				(				self       ,_SCREAMING_SNAKE_CASE       ,_SCREAMING_SNAKE_CASE       ,_SCREAMING_SNAKE_CASE  )			->		Optional[int]:
         if node.start == i and node.end == j:
              return node.val

         if i <= node.mid:
              if j <= node.mid:
                   # range in left child tree
                   return self._query_range(node.left       ,_SCREAMING_SNAKE_CASE       ,_SCREAMING_SNAKE_CASE  )
              else:
                   # range in left child tree and right child tree
                   return self.fn(
                       self._query_range(node.left       ,_SCREAMING_SNAKE_CASE       ,node.mid  )       ,self._query_range(node.right       ,node.mid + 1       ,_SCREAMING_SNAKE_CASE  )       ,)
         else:
              # range in right child tree
              return self._query_range(node.right       ,_SCREAMING_SNAKE_CASE       ,_SCREAMING_SNAKE_CASE  )





    def 							a__				(				self  )			->		Optional[int]:
         if self.root is not None:
              UpperCAmelCase_      :							Union[str, Any]       =      Queue()
              queue.put(self.root  )
              while not queue.empty():
                   UpperCAmelCase_      :							Dict       =      queue.get()
                   yield node

                   if node.left is not None:
                        queue.put(node.left  )

                   if node.right is not None:
                        queue.put(node.right  )


if __name__ == "__main__":
     import operator

     for fn in [operator.add, max, min]:
          print('*' * 50)
          __a          =			SegmentTree([2, 1, 5, 3, 4], fn)
          for node in arr.traverse():
               print(node)
          print()

          arr.update(1, 5)
          for node in arr.traverse():
               print(node)
          print()

          print(arr.query_range(3, 4))  # 7
          print(arr.query_range(2, 2))  # 5
          print(arr.query_range(1, 3))  # 13
          print()











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
)
__a          =			logging.getLogger(__name__)

if __name__ == "__main__":
     __a          =			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=30_522, type=int)
     __a          =			parser.parse_args()

     logger.info(F"""Loading data from {args.data_file}""")
     with open(args.data_file, 'rb') as fp:
          __a          =			pickle.load(fp)

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