




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


lowerCamelCase_  						=   logging.get_logger(__name__)

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

lowerCamelCase_  						=   {
    "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"
        ),
    },
}

lowerCamelCase_  						=   {
    "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       __a					( __lowerCamelCase     ):


     """simple docstring"""


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




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


         '''simple docstring'''





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

         SCREAMING_SNAKE_CASE__								=json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()						)
         if pre_tok_state.get("""add_prefix_space"""				,_UpperCamelCase						) != add_prefix_space:
             SCREAMING_SNAKE_CASE__								=getattr(_UpperCamelCase				,pre_tok_state.pop("""type"""						)						)
             SCREAMING_SNAKE_CASE__								=add_prefix_space
             SCREAMING_SNAKE_CASE__								=pre_tok_class(**_UpperCamelCase						)

         SCREAMING_SNAKE_CASE__								=add_prefix_space

         SCREAMING_SNAKE_CASE__								="""post_processor"""
         SCREAMING_SNAKE_CASE__								=getattr(self.backend_tokenizer				,_UpperCamelCase				,_UpperCamelCase						)
         if tokenizer_component_instance:
             SCREAMING_SNAKE_CASE__								=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:
                 SCREAMING_SNAKE_CASE__								=tuple(state["""sep"""]						)
             if "cls" in state:
                 SCREAMING_SNAKE_CASE__								=tuple(state["""cls"""]						)

             SCREAMING_SNAKE_CASE__								=False

             if state.get("""add_prefix_space"""				,_UpperCamelCase						) != add_prefix_space:
                 SCREAMING_SNAKE_CASE__								=add_prefix_space
                 SCREAMING_SNAKE_CASE__								=True

             if state.get("""trim_offsets"""				,_UpperCamelCase						) != trim_offsets:
                 SCREAMING_SNAKE_CASE__								=trim_offsets
                 SCREAMING_SNAKE_CASE__								=True

             if changes_to_apply:
                 SCREAMING_SNAKE_CASE__								=getattr(_UpperCamelCase				,state.pop("""type"""						)						)
                 SCREAMING_SNAKE_CASE__								=component_class(**_UpperCamelCase						)
                 setattr(self.backend_tokenizer				,_UpperCamelCase				,_UpperCamelCase						)




     @property
     def   __A				(	self			: 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			: Any				,_UpperCamelCase			: Union[str, Any]						)		->   List[Any]:


         '''simple docstring'''





         SCREAMING_SNAKE_CASE__								=AddedToken(_UpperCamelCase				,lstrip=_UpperCamelCase				,rstrip=_UpperCamelCase						) if isinstance(_UpperCamelCase				,_UpperCamelCase						) else value
         SCREAMING_SNAKE_CASE__								=value




     def   __A				(	self			: List[Any]				,*_UpperCamelCase			: Optional[int]				,**_UpperCamelCase			: Union[str, Any]						)		->   BatchEncoding:


         '''simple docstring'''





         SCREAMING_SNAKE_CASE__								=kwargs.get("""is_split_into_words"""				,_UpperCamelCase						)
         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(*_UpperCamelCase				,**_UpperCamelCase						)




     def   __A				(	self			: str				,*_UpperCamelCase			: Optional[Any]				,**_UpperCamelCase			: List[str]						)		->   BatchEncoding:


         '''simple docstring'''





         SCREAMING_SNAKE_CASE__								=kwargs.get("""is_split_into_words"""				,_UpperCamelCase						)

         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(*_UpperCamelCase				,**_UpperCamelCase						)




     def   __A				(	self			: int				,_UpperCamelCase			: str				,_UpperCamelCase			: Optional[str] = None						)		->   Tuple[str]:


         '''simple docstring'''





         SCREAMING_SNAKE_CASE__								=self._tokenizer.model.save(_UpperCamelCase				,name=_UpperCamelCase						)
         return tuple(_UpperCamelCase						)




     def   __A				(	self			: List[str]				,_UpperCamelCase			: Tuple				,_UpperCamelCase			: Optional[Any]=None						)		->   Tuple:


         '''simple docstring'''





         SCREAMING_SNAKE_CASE__								=[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			: Optional[int]				,_UpperCamelCase			: List[int]				,_UpperCamelCase			: Optional[List[int]] = None						)		->   List[int]:


         '''simple docstring'''





         SCREAMING_SNAKE_CASE__								=[self.sep_token_id]
         SCREAMING_SNAKE_CASE__								=[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]












from __future__ import annotations

from typing import Generic, TypeVar

lowerCamelCase_  						=   TypeVar("T")
class       __a					( Generic[T]     ):


     """simple docstring"""


     def __init__(	self			: int				,_UpperCamelCase			: T						)		->   str:


         '''simple docstring'''





         SCREAMING_SNAKE_CASE__								=data  # Assign data
         SCREAMING_SNAKE_CASE__								=None  # Initialize next as null
         SCREAMING_SNAKE_CASE__								=None  # Initialize prev as null






class       __a					( Generic[T]     ):


     """simple docstring"""


     def __init__(	self			: Tuple						)		->   None:


         '''simple docstring'''





         SCREAMING_SNAKE_CASE__								=None




     def   __A				(	self			: Dict				,_UpperCamelCase			: T						)		->   None:


         '''simple docstring'''





         if self.head is None:
             SCREAMING_SNAKE_CASE__								=Node(_UpperCamelCase						)
         else:
             SCREAMING_SNAKE_CASE__								=Node(_UpperCamelCase						)
             SCREAMING_SNAKE_CASE__								=new_node
             SCREAMING_SNAKE_CASE__								=self.head
             SCREAMING_SNAKE_CASE__								=None
             SCREAMING_SNAKE_CASE__								=new_node




     def   __A				(	self			: List[str]						)		->   T | None:


         '''simple docstring'''





         if self.head is None:
             return None
         else:
             assert self.head is not None
             SCREAMING_SNAKE_CASE__								=self.head.data
             SCREAMING_SNAKE_CASE__								=self.head.next
             if self.head is not None:
                 SCREAMING_SNAKE_CASE__								=None
             return temp




     def   __A				(	self			: List[str]						)		->   T | None:


         '''simple docstring'''





         return self.head.data if self.head is not None else None




     def __len__(	self			: Optional[int]						)		->   int:


         '''simple docstring'''





         SCREAMING_SNAKE_CASE__								=self.head
         SCREAMING_SNAKE_CASE__								=0
         while temp is not None:
             count += 1
             SCREAMING_SNAKE_CASE__								=temp.next
         return count




     def   __A				(	self			: List[Any]						)		->   bool:


         '''simple docstring'''





         return self.head is None




     def   __A				(	self			: int						)		->   None:


         '''simple docstring'''





         print("""stack elements are:"""						)
         SCREAMING_SNAKE_CASE__								=self.head
         while temp is not None:
             print(temp.data				,end="""->"""						)
             SCREAMING_SNAKE_CASE__								=temp.next


# Code execution starts here
if __name__ == "__main__":
    # Start with the empty stack
    lowerCamelCase_  						=   Stack()

    # Insert 4 at the beginning. So stack becomes 4->None
    print("Stack operations using Doubly LinkedList")
    stack.push(4)

    # Insert 5 at the beginning. So stack becomes 4->5->None
    stack.push(5)

    # Insert 6 at the beginning. So stack becomes 4->5->6->None
    stack.push(6)

    # Insert 7 at the beginning. So stack becomes 4->5->6->7->None
    stack.push(7)

    # Print the stack
    stack.print_stack()

    # Print the top element
    print("\nTop element is ", stack.top())

    # Print the stack size
    print("Size of the stack is ", len(stack))

    # pop the top element
    stack.pop()

    # pop the top element
    stack.pop()

    # two elements have now been popped off
    stack.print_stack()

    # Print True if the stack is empty else False
    print("\nstack is empty:", stack.is_empty())






