





'''simple docstring'''

from collections.abc import Sequence
from queue import Queue







class __a :





   def __init__(					self				:			str				,lowerCamelCase				:			Tuple				,lowerCamelCase				:			Optional[int]				,lowerCamelCase				:			List[str]				,lowerCamelCase				:			Optional[int]=None				,lowerCamelCase				:			List[str]=None    ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE      							=       start
      __SCREAMING_SNAKE_CASE      							=       end
      __SCREAMING_SNAKE_CASE      							=       val
      __SCREAMING_SNAKE_CASE      							=       (start + end) // 2
      __SCREAMING_SNAKE_CASE      							=       left
      __SCREAMING_SNAKE_CASE      							=       right





   def __repr__(					self				:			List[str]    ):

      '''simple docstring'''

      return f"""SegmentTreeNode(start={self.start}, end={self.end}, val={self.val})"""







class __a :





   def __init__(					self				:			int				,lowerCamelCase				:			Sequence				,lowerCamelCase				:			int    ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE      							=       collection
      __SCREAMING_SNAKE_CASE      							=       function
      if self.collection:
         __SCREAMING_SNAKE_CASE      							=       self._build_tree(0				,len(lowerCamelCase    ) - 1    )





   def      UpperCAmelCase__     (					self				:			Optional[Any]				,lowerCamelCase				:			Tuple				,lowerCamelCase				:			int    ):

      '''simple docstring'''

      self._update_tree(self.root				,lowerCamelCase				,lowerCamelCase    )





   def      UpperCAmelCase__     (					self				:			Dict				,lowerCamelCase				:			List[Any]				,lowerCamelCase				:			List[Any]    ):

      '''simple docstring'''

      return self._query_range(self.root				,lowerCamelCase				,lowerCamelCase    )





   def      UpperCAmelCase__     (					self				:			str				,lowerCamelCase				:			Dict				,lowerCamelCase				:			Optional[Any]    ):

      '''simple docstring'''

      if start == end:
         return SegmentTreeNode(lowerCamelCase				,lowerCamelCase				,self.collection[start]    )
      __SCREAMING_SNAKE_CASE      							=       (start + end) // 2
      __SCREAMING_SNAKE_CASE      							=       self._build_tree(lowerCamelCase				,lowerCamelCase    )
      __SCREAMING_SNAKE_CASE      							=       self._build_tree(mid + 1				,lowerCamelCase    )
      return SegmentTreeNode(lowerCamelCase				,lowerCamelCase				,self.fn(left.val				,right.val    )				,lowerCamelCase				,lowerCamelCase    )





   def      UpperCAmelCase__     (					self				:			Dict				,lowerCamelCase				:			Optional[Any]				,lowerCamelCase				:			str				,lowerCamelCase				:			str    ):

      '''simple docstring'''

      if node.start == i and node.end == i:
         __SCREAMING_SNAKE_CASE      							=       val
         return
      if i <= node.mid:
         self._update_tree(node.left				,lowerCamelCase				,lowerCamelCase    )
      else:
         self._update_tree(node.right				,lowerCamelCase				,lowerCamelCase    )
      __SCREAMING_SNAKE_CASE      							=       self.fn(node.left.val				,node.right.val    )





   def      UpperCAmelCase__     (					self				:			int				,lowerCamelCase				:			List[Any]				,lowerCamelCase				:			List[str]				,lowerCamelCase				:			str    ):

      '''simple docstring'''

      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				,lowerCamelCase				,lowerCamelCase    )
         else:
            # range in left child tree and right child tree
            return self.fn(
                self._query_range(node.left				,lowerCamelCase				,node.mid    )				,self._query_range(node.right				,node.mid + 1				,lowerCamelCase    )				,)
      else:
         # range in right child tree
         return self._query_range(node.right				,lowerCamelCase				,lowerCamelCase    )





   def      UpperCAmelCase__     (					self				:			Optional[int]    ):

      '''simple docstring'''

      if self.root is not None:
         __SCREAMING_SNAKE_CASE      							=       Queue()
         queue.put(self.root    )
         while not queue.empty():
            __SCREAMING_SNAKE_CASE      							=       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()












'''simple docstring'''

from collections import OrderedDict
from typing import Mapping

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


a        =						logging.get_logger(__name__)

a        =						{
    "camembert-base": "https://huggingface.co/camembert-base/resolve/main/config.json",
    "umberto-commoncrawl-cased-v1": (
        "https://huggingface.co/Musixmatch/umberto-commoncrawl-cased-v1/resolve/main/config.json"
    ),
    "umberto-wikipedia-uncased-v1": (
        "https://huggingface.co/Musixmatch/umberto-wikipedia-uncased-v1/resolve/main/config.json"
    ),
}







class __a (   _snake_case			):
   __UpperCamelCase   : Tuple	      =	'camembert'





   def __init__(					self				:			int				,lowerCamelCase				:			List[Any]=3_0522				,lowerCamelCase				:			List[Any]=768				,lowerCamelCase				:			str=12				,lowerCamelCase				:			List[str]=12				,lowerCamelCase				:			Optional[Any]=3072				,lowerCamelCase				:			Tuple="gelu"				,lowerCamelCase				:			List[str]=0.1				,lowerCamelCase				:			Tuple=0.1				,lowerCamelCase				:			Union[str, Any]=512				,lowerCamelCase				:			Dict=2				,lowerCamelCase				:			Tuple=0.02				,lowerCamelCase				:			List[Any]=1E-1_2				,lowerCamelCase				:			Union[str, Any]=1				,lowerCamelCase				:			Optional[Any]=0				,lowerCamelCase				:			List[Any]=2				,lowerCamelCase				:			List[str]="absolute"				,lowerCamelCase				:			int=True				,lowerCamelCase				:			Any=None				,**lowerCamelCase				:			Optional[Any]				,):

      '''simple docstring'''

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

      __SCREAMING_SNAKE_CASE      							=       vocab_size
      __SCREAMING_SNAKE_CASE      							=       hidden_size
      __SCREAMING_SNAKE_CASE      							=       num_hidden_layers
      __SCREAMING_SNAKE_CASE      							=       num_attention_heads
      __SCREAMING_SNAKE_CASE      							=       hidden_act
      __SCREAMING_SNAKE_CASE      							=       intermediate_size
      __SCREAMING_SNAKE_CASE      							=       hidden_dropout_prob
      __SCREAMING_SNAKE_CASE      							=       attention_probs_dropout_prob
      __SCREAMING_SNAKE_CASE      							=       max_position_embeddings
      __SCREAMING_SNAKE_CASE      							=       type_vocab_size
      __SCREAMING_SNAKE_CASE      							=       initializer_range
      __SCREAMING_SNAKE_CASE      							=       layer_norm_eps
      __SCREAMING_SNAKE_CASE      							=       position_embedding_type
      __SCREAMING_SNAKE_CASE      							=       use_cache
      __SCREAMING_SNAKE_CASE      							=       classifier_dropout







class __a (   _snake_case			):





   @property
   def      UpperCAmelCase__     (					self				:			Optional[Any]    ):

      '''simple docstring'''

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





