'''simple docstring'''




from collections.abc import Sequence
from queue import Queue


class       UpperCAmelCase__  :






   """simple docstring"""
   def __init__(self       ,				_a       ,				_a       ,				_a       ,				_a=None       ,				_a=None				)    ->     Optional[int]:
        lowercase_					:       Dict     				=					start
        lowercase_					:       Dict     				=					end
        lowercase_					:       Tuple     				=					val
        lowercase_					:       List[str]     				=					(start + end) // 2
        lowercase_					:       Optional[int]     				=					left
        lowercase_					:       List[str]     				=					right





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



class       UpperCAmelCase__  :






   """simple docstring"""
   def __init__(self       ,				_a       ,				_a				)    ->     List[str]:
        lowercase_					:       str     				=					collection
        lowercase_					:       str     				=					function
        if self.collection:
             lowercase_					:       Optional[int]     				=					self._build_tree(0       ,				len(_a				) - 1				)
   def 		_lowerCamelCase (self       ,				_a       ,				_a				)    ->     str:
        self._update_tree(self.root       ,				_a       ,				_a				)
   def 		_lowerCamelCase (self       ,				_a       ,				_a				)    ->     Optional[int]:
        return self._query_range(self.root       ,				_a       ,				_a				)
   def 		_lowerCamelCase (self       ,				_a       ,				_a				)    ->     Optional[int]:
        if start == end:
             return SegmentTreeNode(_a       ,				_a       ,				self.collection[start]				)
        lowercase_					:       Optional[Any]     				=					(start + end) // 2
        lowercase_					:       List[Any]     				=					self._build_tree(_a       ,				_a				)
        lowercase_					:       Union[str, Any]     				=					self._build_tree(mid + 1       ,				_a				)
        return SegmentTreeNode(_a       ,				_a       ,				self.fn(left.val       ,				right.val				)       ,				_a       ,				_a				)
   def 		_lowerCamelCase (self       ,				_a       ,				_a       ,				_a				)    ->     Optional[int]:
        if node.start == i and node.end == i:
             lowercase_					:       Optional[int]     				=					val
             return
        if i <= node.mid:
             self._update_tree(node.left       ,				_a       ,				_a				)
        else:
             self._update_tree(node.right       ,				_a       ,				_a				)
        lowercase_					:       Union[str, Any]     				=					self.fn(node.left.val       ,				node.right.val				)
   def 		_lowerCamelCase (self       ,				_a       ,				_a       ,				_a				)    ->     List[str]:
        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       ,				_a       ,				_a				)
             else:
                  # range in left child tree and right child tree
                  return self.fn(
                      self._query_range(node.left       ,				_a       ,				node.mid				)       ,				self._query_range(node.right       ,				node.mid + 1       ,				_a				)       ,				)
        else:
             # range in right child tree
             return self._query_range(node.right       ,				_a       ,				_a				)





   def 		_lowerCamelCase (self				)    ->     Union[str, Any]:
        if self.root is not None:
             lowercase_					:       int     				=					Queue()
             queue.put(self.root				)
             while not queue.empty():
                  lowercase_					:       Union[str, Any]     				=					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('*' * 5_0)
  _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()





'''simple docstring'''




from ...configuration_utils import PretrainedConfig
from ...utils import logging


_A								=   logging.get_logger(__name__)

_A								=   {
    'uw-madison/mra-base-512-4': 'https://huggingface.co/uw-madison/mra-base-512-4/resolve/main/config.json',
}


class       UpperCAmelCase__  (       _snake_case			):






   """simple docstring"""
   A							:       Any     =    '''mra'''
   def __init__(self       ,				_a=50_265       ,				_a=768       ,				_a=12       ,				_a=12       ,				_a=3_072       ,				_a="gelu"       ,				_a=0.1       ,				_a=0.1       ,				_a=512       ,				_a=1       ,				_a=0.02       ,				_a=1e-5       ,				_a="absolute"       ,				_a=4       ,				_a="full"       ,				_a=0       ,				_a=0       ,				_a=1       ,				_a=0       ,				_a=2       ,				**_a       ,				)    ->     int:
        super().__init__(pad_token_id=_a       ,				bos_token_id=_a       ,				eos_token_id=_a       ,				**_a				)

        lowercase_					:       Union[str, Any]     				=					vocab_size
        lowercase_					:       List[str]     				=					max_position_embeddings
        lowercase_					:       Optional[Any]     				=					hidden_size
        lowercase_					:       Optional[int]     				=					num_hidden_layers
        lowercase_					:       Dict     				=					num_attention_heads
        lowercase_					:       Optional[int]     				=					intermediate_size
        lowercase_					:       Dict     				=					hidden_act
        lowercase_					:       str     				=					hidden_dropout_prob
        lowercase_					:       int     				=					attention_probs_dropout_prob
        lowercase_					:       str     				=					initializer_range
        lowercase_					:       Union[str, Any]     				=					type_vocab_size
        lowercase_					:       Any     				=					layer_norm_eps
        lowercase_					:       Union[str, Any]     				=					position_embedding_type
        lowercase_					:       Any     				=					block_per_row
        lowercase_					:       Optional[int]     				=					approx_mode
        lowercase_					:       int     				=					initial_prior_first_n_blocks
        lowercase_					:       str     				=					initial_prior_diagonal_n_blocks




