






from collections.abc import Sequence
from queue import Queue







class  _lowercase   :
      def __init__(     self				,			a				,			a				,			a				,			a=None				,			a=None   ):
       snake_case__  :    Any							       =start
       snake_case__  :    List[str]							       =end
       snake_case__  :    int							       =val
       snake_case__  :    Union[str, Any]							       =(start + end) // 2
       snake_case__  :    Optional[Any]							       =left
       snake_case__  :    int							       =right



      def __repr__(     self   ):
       return F"SegmentTreeNode(start={self.start}, end={self.end}, val={self.val})"







class  _lowercase   :
      def __init__(     self				,			a				,			a   ):
       snake_case__  :    str							       =collection
       snake_case__  :    List[str]							       =function
       if self.collection:
        snake_case__  :    Tuple							       =self._build_tree(0				,			len(a   ) - 1   )
      def 						lowercase__					(     self				,			a				,			a   ):
       self._update_tree(self.root				,			a				,			a   )
      def 						lowercase__					(     self				,			a				,			a   ):
       return self._query_range(self.root				,			a				,			a   )
      def 						lowercase__					(     self				,			a				,			a   ):
       if start == end:
        return SegmentTreeNode(a				,			a				,			self.collection[start]   )
       snake_case__  :    Optional[Any]							       =(start + end) // 2
       snake_case__  :    Tuple							       =self._build_tree(a				,			a   )
       snake_case__  :    List[str]							       =self._build_tree(mid + 1				,			a   )
       return SegmentTreeNode(a				,			a				,			self.fn(left.val				,			right.val   )				,			a				,			a   )
      def 						lowercase__					(     self				,			a				,			a				,			a   ):
       if node.start == i and node.end == i:
        snake_case__  :    List[Any]							       =val
        return
       if i <= node.mid:
        self._update_tree(node.left				,			a				,			a   )
       else:
        self._update_tree(node.right				,			a				,			a   )
       snake_case__  :    List[str]							       =self.fn(node.left.val				,			node.right.val   )
      def 						lowercase__					(     self				,			a				,			a				,			a   ):
       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 						lowercase__					(     self   ):
       if self.root is not None:
        snake_case__  :    Any							       =Queue()
        queue.put(self.root   )
        while not queue.empty():
         snake_case__  :    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("""*""" * 50)
              __lowerCamelCase	:		Tuple										=   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()













from collections import OrderedDict
from typing import Mapping

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


__lowerCamelCase	:		Dict										=   logging.get_logger(__name__)

__lowerCamelCase	:		Union[str, Any]										=   {
    """xlm-mlm-en-2048""": """https://huggingface.co/xlm-mlm-en-2048/resolve/main/config.json""",
    """xlm-mlm-ende-1024""": """https://huggingface.co/xlm-mlm-ende-1024/resolve/main/config.json""",
    """xlm-mlm-enfr-1024""": """https://huggingface.co/xlm-mlm-enfr-1024/resolve/main/config.json""",
    """xlm-mlm-enro-1024""": """https://huggingface.co/xlm-mlm-enro-1024/resolve/main/config.json""",
    """xlm-mlm-tlm-xnli15-1024""": """https://huggingface.co/xlm-mlm-tlm-xnli15-1024/resolve/main/config.json""",
    """xlm-mlm-xnli15-1024""": """https://huggingface.co/xlm-mlm-xnli15-1024/resolve/main/config.json""",
    """xlm-clm-enfr-1024""": """https://huggingface.co/xlm-clm-enfr-1024/resolve/main/config.json""",
    """xlm-clm-ende-1024""": """https://huggingface.co/xlm-clm-ende-1024/resolve/main/config.json""",
    """xlm-mlm-17-1280""": """https://huggingface.co/xlm-mlm-17-1280/resolve/main/config.json""",
    """xlm-mlm-100-1280""": """https://huggingface.co/xlm-mlm-100-1280/resolve/main/config.json""",
}







class  _lowercase   (   _A						):
      _a							:						int										=							'xlm'
      _a							:						List[Any]										=							{
          'hidden_size': 'emb_dim',
          'num_attention_heads': 'n_heads',
          'num_hidden_layers': 'n_layers',
          'n_words': 'vocab_size',  # For backward compatibility
      }
      def __init__(     self				,			a=3_0_1_4_5				,			a=2_0_4_8				,			a=1_2				,			a=1_6				,			a=0.1				,			a=0.1				,			a=True				,			a=False				,			a=False				,			a=False				,			a=1				,			a=True				,			a=5_1_2				,			a=2_0_4_8**-0.5				,			a=1e-12				,			a=0.02				,			a=0				,			a=1				,			a=2				,			a=3				,			a=5				,			a=True				,			a="first"				,			a=True				,			a=None				,			a=True				,			a=0.1				,			a=5				,			a=5				,			a=0				,			a=0				,			a=2				,			a=0				,			**a				,			):
       snake_case__  :    str							       =vocab_size
       snake_case__  :    List[Any]							       =emb_dim
       snake_case__  :    List[str]							       =n_layers
       snake_case__  :    Any							       =n_heads
       snake_case__  :    Any							       =dropout
       snake_case__  :    Optional[int]							       =attention_dropout
       snake_case__  :    Dict							       =gelu_activation
       snake_case__  :    Tuple							       =sinusoidal_embeddings
       snake_case__  :    Optional[int]							       =causal
       snake_case__  :    Optional[int]							       =asm
       snake_case__  :    Optional[int]							       =n_langs
       snake_case__  :    Union[str, Any]							       =use_lang_emb
       snake_case__  :    Optional[Any]							       =layer_norm_eps
       snake_case__  :    Union[str, Any]							       =bos_index
       snake_case__  :    List[Any]							       =eos_index
       snake_case__  :    Optional[Any]							       =pad_index
       snake_case__  :    Union[str, Any]							       =unk_index
       snake_case__  :    Dict							       =mask_index
       snake_case__  :    str							       =is_encoder
       snake_case__  :    Optional[Any]							       =max_position_embeddings
       snake_case__  :    Any							       =embed_init_std
       snake_case__  :    Optional[Any]							       =init_std
       snake_case__  :    str							       =summary_type
       snake_case__  :    List[Any]							       =summary_use_proj
       snake_case__  :    str							       =summary_activation
       snake_case__  :    Optional[Any]							       =summary_proj_to_labels
       snake_case__  :    Optional[int]							       =summary_first_dropout
       snake_case__  :    Optional[Any]							       =start_n_top
       snake_case__  :    List[Any]							       =end_n_top
       snake_case__  :    Union[str, Any]							       =mask_token_id
       snake_case__  :    Any							       =lang_id

       if "n_words" in kwargs:
        snake_case__  :    int							       =kwargs["""n_words"""]

       super().__init__(pad_token_id=a				,			bos_token_id=a				,			**a   )







class  _lowercase   (   _A						):
      @property
      def 						lowercase__					(     self   ):
       if self.task == "multiple-choice":
        snake_case__  :    Any							       ={0: """batch""", 1: """choice""", 2: """sequence"""}
       else:
        snake_case__  :    Union[str, Any]							       ={0: """batch""", 1: """sequence"""}
       return OrderedDict(
           [
               ("""input_ids""", dynamic_axis),
               ("""attention_mask""", dynamic_axis),
               ("""token_type_ids""", dynamic_axis),
           ]   )





