
"""simple docstring"""







import json
from typing import List, Optional, Tuple

from tokenizers import pre_tokenizers, processors

from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_longformer import LongformerTokenizer


lowercase_						    =					logging.get_logger(__name__)

lowercase_						    =					{"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt""", """tokenizer_file""": """tokenizer.json"""}

lowercase_						    =					{
    """vocab_file""": {
        """allenai/longformer-base-4096""": """https://huggingface.co/allenai/longformer-base-4096/resolve/main/vocab.json""",
        """allenai/longformer-large-4096""": (
            """https://huggingface.co/allenai/longformer-large-4096/resolve/main/vocab.json"""
        ),
        """allenai/longformer-large-4096-finetuned-triviaqa""": (
            """https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/vocab.json"""
        ),
        """allenai/longformer-base-4096-extra.pos.embd.only""": (
            """https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/vocab.json"""
        ),
        """allenai/longformer-large-4096-extra.pos.embd.only""": (
            """https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/vocab.json"""
        ),
    },
    """merges_file""": {
        """allenai/longformer-base-4096""": """https://huggingface.co/allenai/longformer-base-4096/resolve/main/merges.txt""",
        """allenai/longformer-large-4096""": (
            """https://huggingface.co/allenai/longformer-large-4096/resolve/main/merges.txt"""
        ),
        """allenai/longformer-large-4096-finetuned-triviaqa""": (
            """https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/merges.txt"""
        ),
        """allenai/longformer-base-4096-extra.pos.embd.only""": (
            """https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/merges.txt"""
        ),
        """allenai/longformer-large-4096-extra.pos.embd.only""": (
            """https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/merges.txt"""
        ),
    },
    """tokenizer_file""": {
        """allenai/longformer-base-4096""": (
            """https://huggingface.co/allenai/longformer-base-4096/resolve/main/tokenizer.json"""
        ),
        """allenai/longformer-large-4096""": (
            """https://huggingface.co/allenai/longformer-large-4096/resolve/main/tokenizer.json"""
        ),
        """allenai/longformer-large-4096-finetuned-triviaqa""": (
            """https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/tokenizer.json"""
        ),
        """allenai/longformer-base-4096-extra.pos.embd.only""": (
            """https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/tokenizer.json"""
        ),
        """allenai/longformer-large-4096-extra.pos.embd.only""": (
            """https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/tokenizer.json"""
        ),
    },
}

lowercase_						    =					{
    """allenai/longformer-base-4096""": 4096,
    """allenai/longformer-large-4096""": 4096,
    """allenai/longformer-large-4096-finetuned-triviaqa""": 4096,
    """allenai/longformer-base-4096-extra.pos.embd.only""": 4096,
    """allenai/longformer-large-4096-extra.pos.embd.only""": 4096,
}



class 				UpperCAmelCase_	(a__						):
 """simple docstring"""




 UpperCamelCase_						:     List[str]				   =    VOCAB_FILES_NAMES
 UpperCamelCase_						:     List[Any]				   =    PRETRAINED_VOCAB_FILES_MAP
 UpperCamelCase_						:     str				   =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 UpperCamelCase_						:     Any				   =    ["""input_ids""", """attention_mask"""]
 UpperCamelCase_						:     Optional[Any]				   =    LongformerTokenizer




 def __init__( self       : Tuple     ,   a_       : List[str]=None     ,   a_       : Union[str, Any]=None     ,   a_       : Tuple=None     ,   a_       : List[Any]="replace"     ,   a_       : Tuple="<s>"     ,   a_       : Optional[Any]="</s>"     ,   a_       : Tuple="</s>"     ,   a_       : Tuple="<s>"     ,   a_       : str="<unk>"     ,   a_       : Tuple="<pad>"     ,   a_       : List[Any]="<mask>"     ,   a_       : Union[str, Any]=False     ,   a_       : List[Any]=True     ,   **a_       : int     ,   )->					Dict:



      """simple docstring"""

      super().__init__(
          __A     ,   __A     ,   tokenizer_file=__A     ,   errors=__A     ,   bos_token=__A     ,   eos_token=__A     ,   sep_token=__A     ,   cls_token=__A     ,   unk_token=__A     ,   pad_token=__A     ,   mask_token=__A     ,   add_prefix_space=__A     ,   trim_offsets=__A     ,   **__A     ,   )

      UpperCAmelCase_						:    int    					=  json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__() )
      if pre_tok_state.get("""add_prefix_space"""     ,   __A ) != add_prefix_space:
           UpperCAmelCase_						:    Any    					=  getattr(__A     ,   pre_tok_state.pop("""type""" ) )
           UpperCAmelCase_						:    Any    					=  add_prefix_space
           UpperCAmelCase_						:    Union[str, Any]    					=  pre_tok_class(**__A )

      UpperCAmelCase_						:    Any    					=  add_prefix_space

      UpperCAmelCase_						:    int    					=  "post_processor"
      UpperCAmelCase_						:    Optional[int]    					=  getattr(self.backend_tokenizer     ,   __A     ,   __A )
      if tokenizer_component_instance:
           UpperCAmelCase_						:    Tuple    					=  json.loads(tokenizer_component_instance.__getstate__() )

           # The lists 'sep' and 'cls' must be cased in tuples for the object `post_processor_class`
           if "sep" in state:
                UpperCAmelCase_						:    Dict    					=  tuple(state["""sep"""] )
           if "cls" in state:
                UpperCAmelCase_						:    Union[str, Any]    					=  tuple(state["""cls"""] )

           UpperCAmelCase_						:    Union[str, Any]    					=  False

           if state.get("""add_prefix_space"""     ,   __A ) != add_prefix_space:
                UpperCAmelCase_						:    Dict    					=  add_prefix_space
                UpperCAmelCase_						:    str    					=  True

           if state.get("""trim_offsets"""     ,   __A ) != trim_offsets:
                UpperCAmelCase_						:    Tuple    					=  trim_offsets
                UpperCAmelCase_						:    Optional[int]    					=  True

           if changes_to_apply:
                UpperCAmelCase_						:    List[Any]    					=  getattr(__A     ,   state.pop("""type""" ) )
                UpperCAmelCase_						:    int    					=  component_class(**__A )
                setattr(self.backend_tokenizer     ,   __A     ,   __A )




 @property
 def   a      ( self       : Union[str, Any] )->					str:



      """simple docstring"""

      if self._mask_token is None:
           if self.verbose:
                logger.error("""Using mask_token, but it is not set yet.""" )
           return None
      return str(self._mask_token )




 @mask_token.setter
 def   a      ( self       : int     ,   a_       : Dict )->					int:



      """simple docstring"""

      UpperCAmelCase_						:    List[Any]    					=  AddedToken(__A     ,   lstrip=__A     ,   rstrip=__A ) if isinstance(__A     ,   __A ) else value
      UpperCAmelCase_						:    Optional[int]    					=  value




 def   a      ( self       : List[Any]     ,   *a_       : List[str]     ,   **a_       : List[str] )->					BatchEncoding:



      """simple docstring"""

      UpperCAmelCase_						:    Optional[int]    					=  kwargs.get("""is_split_into_words"""     ,   __A )
      assert self.add_prefix_space or not is_split_into_words, (
          f'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True '''
          "to use it with pretokenized inputs."
      )

      return super()._batch_encode_plus(*__A     ,   **__A )




 def   a      ( self       : int     ,   *a_       : Dict     ,   **a_       : str )->					BatchEncoding:



      """simple docstring"""

      UpperCAmelCase_						:    str    					=  kwargs.get("""is_split_into_words"""     ,   __A )

      assert self.add_prefix_space or not is_split_into_words, (
          f'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True '''
          "to use it with pretokenized inputs."
      )

      return super()._encode_plus(*__A     ,   **__A )




 def   a      ( self       : List[str]     ,   a_       : str     ,   a_       : str = None )->					Tuple[str]:



      """simple docstring"""

      UpperCAmelCase_						:    List[str]    					=  self._tokenizer.model.save(__A     ,   name=__A )
      return tuple(__A )




 def   a      ( self       : List[str]     ,   a_       : Dict     ,   a_       : Optional[int]=None )->					Union[str, Any]:



      """simple docstring"""

      UpperCAmelCase_						:    Any    					=  [self.bos_token_id] + token_ids_a + [self.eos_token_id]
      if token_ids_a is None:
           return output

      return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]






 def   a      ( self       : List[Any]     ,   a_       : int     ,   a_       : str = None )->					List[int]:



      """simple docstring"""

      UpperCAmelCase_						:    List[str]    					=  [self.sep_token_id]
      UpperCAmelCase_						:    Tuple    					=  [self.cls_token_id]

      if token_ids_a is None:
           return len(cls + token_ids_a + sep ) * [0]
      return len(cls + token_ids_a + sep + sep + token_ids_a + sep ) * [0]



"""simple docstring"""







from __future__ import annotations



class 		UpperCAmelCase_	:
 """simple docstring"""




 def __init__( self       : Any     ,   a_       : int = 0 )->					None:



      """simple docstring"""

      UpperCAmelCase_						:    Tuple    					=  value
      UpperCAmelCase_						:    Node | None    					=  None
      UpperCAmelCase_						:    Node | None    					=  None




def 			A_			(					lowercase						, lowercase      )     ->							Node | None:


     """simple docstring"""







     if treea is None:
          return treea
     if treea is None:
          return treea

     UpperCAmelCase_						:    int    					=  treea.value + treea.value
     UpperCAmelCase_						:    List[str]    					=  merge_two_binary_trees(treea.left						, treea.left      )
     UpperCAmelCase_						:    List[str]    					=  merge_two_binary_trees(treea.right						, treea.right      )
     return treea




def 			A_			(					lowercase      )     ->							None:


     """simple docstring"""







     if root:
          print(root.value      )
          print_preorder(root.left      )
          print_preorder(root.right      )


if __name__ == "__main__":
       lowercase_						    =					Node(1)
       lowercase_						    =					Node(2)
       lowercase_						    =					Node(3)
       lowercase_						    =					Node(4)

       lowercase_						    =					Node(2)
       lowercase_						    =					Node(4)
       lowercase_						    =					Node(6)
       lowercase_						    =					Node(9)
       lowercase_						    =					Node(5)

       print("Tree1 is: ")
       print_preorder(treea)
       print("Tree2 is: ")
       print_preorder(treea)
       lowercase_						    =					merge_two_binary_trees(treea, treea)
       print("Merged Tree is: ")
       print_preorder(merged_tree)

