





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							:			int				=logging.get_logger(__name__)

__lowerCAmelCase							:			List[str]				={"vocab_file": "vocab.json", "merges_file": "merges.txt", "tokenizer_file": "tokenizer.json"}

__lowerCAmelCase							:			Tuple				={
    "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							:			List[str]				={
    "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			( UpperCamelCase__       ):
 __lowercase     	=       VOCAB_FILES_NAMES
 __lowercase     	=       PRETRAINED_VOCAB_FILES_MAP
 __lowercase     	=       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 __lowercase     	=       ["""input_ids""", """attention_mask"""]
 __lowercase     	=       LongformerTokenizer
 def __init__(       self   :Union[str, Any]		, lowercase_   :int=None		, lowercase_   :Optional[Any]=None		, lowercase_   :Dict=None		, lowercase_   :List[Any]="replace"		, lowercase_   :Any="<s>"		, lowercase_   :Union[str, Any]="</s>"		, lowercase_   :Optional[Any]="</s>"		, lowercase_   :List[str]="<s>"		, lowercase_   :str="<unk>"		, lowercase_   :Optional[int]="<pad>"		, lowercase_   :Union[str, Any]="<mask>"		, lowercase_   :Dict=False		, lowercase_   :Tuple=True		, **lowercase_   :List[Any]		, )->							Tuple:
     super().__init__(
         lowercase_		, lowercase_		, tokenizer_file=lowercase_		, errors=lowercase_		, bos_token=lowercase_		, eos_token=lowercase_		, sep_token=lowercase_		, cls_token=lowercase_		, unk_token=lowercase_		, pad_token=lowercase_		, mask_token=lowercase_		, add_prefix_space=lowercase_		, trim_offsets=lowercase_		, **lowercase_		, )

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

     A__       =    add_prefix_space

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

         A__       =    False

         if state.get("add_prefix_space"		, lowercase_							) != add_prefix_space:
             A__       =    add_prefix_space
             A__       =    True

         if state.get("trim_offsets"		, lowercase_							) != trim_offsets:
             A__       =    trim_offsets
             A__       =    True

         if changes_to_apply:
             A__       =    getattr(lowercase_		, state.pop("type"							)							)
             A__       =    component_class(**lowercase_							)
             setattr(self.backend_tokenizer		, lowercase_		, lowercase_							)
 @property
 def   UpperCAmelCase_							(       self   :List[Any]							)->							str:
     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   UpperCAmelCase_							(       self   :int		, lowercase_   :Optional[int]							)->							Any:
     A__       =    AddedToken(lowercase_		, lstrip=lowercase_		, rstrip=lowercase_							) if isinstance(lowercase_		, lowercase_							) else value
     A__       =    value
 def   UpperCAmelCase_							(       self   :Tuple		, *lowercase_   :Any		, **lowercase_   :Dict							)->							BatchEncoding:
     A__       =    kwargs.get("is_split_into_words"		, lowercase_							)
     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(*lowercase_		, **lowercase_							)
 def   UpperCAmelCase_							(       self   :Any		, *lowercase_   :Any		, **lowercase_   :int							)->							BatchEncoding:
     A__       =    kwargs.get("is_split_into_words"		, lowercase_							)

     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(*lowercase_		, **lowercase_							)
 def   UpperCAmelCase_							(       self   :int		, lowercase_   :str		, lowercase_   :Optional[str] = None							)->							Tuple[str]:
     A__       =    self._tokenizer.model.save(lowercase_		, name=lowercase_							)
     return tuple(lowercase_							)
 def   UpperCAmelCase_							(       self   :Tuple		, lowercase_   :Optional[int]		, lowercase_   :List[str]=None							)->							str:
     A__       =    [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   UpperCAmelCase_							(       self   :Optional[int]		, lowercase_   :List[int]		, lowercase_   :Optional[List[int]] = None							)->							List[int]:
     A__       =    [self.sep_token_id]
     A__       =    [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'''

import torch

from transformers import AutoTokenizer






class      UpperCAmelCase			( UpperCamelCase__       ):
 def __init__(       self   :Any		, lowercase_   :Dict							)->							Any:
     A__       =    AutoTokenizer.from_pretrained(lowercase_							)
 def   UpperCAmelCase_							(       self   :Tuple		, lowercase_   :int							)->							Optional[int]:

     if isinstance(lowercase_		, lowercase_							) and all(isinstance(_x		, lowercase_							) for _x in x							):
         A__       =    None
         for l in x:
             A__       =    self.tokenizer(
                 lowercase_		, padding="max_length"		, max_length=3_84		, truncation=lowercase_		, return_tensors="pt"		, )
             A__       =    torch.tensor([len(lowercase_							)]							)
             if d is not None:
                 for k in d.keys():
                     A__       =    torch.cat((d[k], t[k])		, 0							)
             else:
                 A__       =    t

         A__       =    torch.tensor(self.tokenizer.convert_tokens_to_ids("[E]"							)							)
         A__       =    torch.tensor(self.tokenizer.convert_tokens_to_ids("[/E]"							)							)

     elif isinstance(lowercase_		, lowercase_							) and all(isinstance(_x		, lowercase_							) for _x in x							):
         A__       =    self.tokenizer(
             lowercase_		, padding="max_length"		, max_length=3_84		, truncation=lowercase_		, return_tensors="pt"		, )

     else:
         raise Exception(
             "Type of parameter x was not recognized! Only `list of strings` for query or `list of lists of"
             " strings` for supports are supported."							)

     return d



 def   UpperCAmelCase_							(       self   :Union[str, Any]		, lowercase_   :List[str]		, lowercase_   :str		, lowercase_   :str		, lowercase_   :List[Any]		, lowercase_   :Dict=0.7_0							)->							int:
     A__       =    []
     for idx in range(len(W_query["input_ids"]							)							):
         A__       =    A__       =    range(p_start.shape[1]							)

         A__       =    []
         for start_id in start_indexes:
             for end_id in end_indexes:
                 if start_id < end_id:
                     output.append(
                         (
                             start_id,
                             end_id,
                             p_start[idx][start_id].item(),
                             p_end[idx][end_id].item(),
                         )							)

         output.sort(key=lambda lowercase_							: (tup[2] * tup[3])		, reverse=lowercase_							)
         A__       =    []
         for k in range(len(lowercase_							)							):
             if output[k][2] * output[k][3] >= thresh:
                 A__,			A__       =    output[k][0], output[k][1]
                 A__       =    self.tokenizer.decode(W_query["input_ids"][idx][c_start_pos:c_end_pos]							)
                 temp.append((decoded, output[k][2] * output[k][3])							)

         final_outputs.append(lowercase_							)

     return final_outputs



