





import json
import os
from functools import lru_cache
from typing import List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


snake_case 				=       logging.get_logger(__name__)


snake_case 				=       {"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt"""}

snake_case 				=       {
    """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"""
        ),
    },
}

snake_case 				=       {
    """allenai/longformer-base-4096""": 4_0_9_6,
    """allenai/longformer-large-4096""": 4_0_9_6,
    """allenai/longformer-large-4096-finetuned-triviaqa""": 4_0_9_6,
    """allenai/longformer-base-4096-extra.pos.embd.only""": 4_0_9_6,
    """allenai/longformer-large-4096-extra.pos.embd.only""": 4_0_9_6,
}

@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def 							SCREAMING_SNAKE_CASE__       (  )      ->						Tuple:
  _lowercase							= (
      list(range(ord('!'     )			,							ord('~'     ) + 1     )     ) + list(range(ord('¡'     )			,							ord('¬'     ) + 1     )     ) + list(range(ord('®'     )			,							ord('ÿ'     ) + 1     )     )
  )
  _lowercase							= bs[:]
  _lowercase							= 0
  for b in range(2**8     ):
    if b not in bs:
      bs.append(snake_case__     )
      cs.append(2**8 + n     )
      n += 1
  _lowercase							= [chr(snake_case__     ) for n in cs]
  return dict(zip(snake_case__			,							snake_case__     )     )

def 							SCREAMING_SNAKE_CASE__       (  snake_case__  :List[str]     )      ->						Dict:
  _lowercase							= set()
  _lowercase							= word[0]
  for char in word[1:]:
    pairs.add((prev_char, char)     )
    _lowercase							= char
  return pairs







class 				A_				(      UpperCAmelCase	):







       """simple docstring"""





       SCREAMING_SNAKE_CASE_      : int      =  VOCAB_FILES_NAMES
       SCREAMING_SNAKE_CASE_      : Any      =  PRETRAINED_VOCAB_FILES_MAP
       SCREAMING_SNAKE_CASE_      : Dict      =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       SCREAMING_SNAKE_CASE_      : Union[str, Any]      =  ['''input_ids''', '''attention_mask''']







       def __init__(    self	:	Optional[int]						,__A	:	Tuple						,__A	:	Any						,__A	:	Optional[int]="replace"						,__A	:	Dict="<s>"						,__A	:	str="</s>"						,__A	:	Any="</s>"						,__A	:	List[Any]="<s>"						,__A	:	Any="<unk>"						,__A	:	Union[str, Any]="<pad>"						,__A	:	Tuple="<mask>"						,__A	:	Union[str, Any]=False						,**__A	:	Optional[int]						,)						->					Tuple:
         _lowercase							= AddedToken(__A						,lstrip=__A						,rstrip=__A  ) if isinstance(__A						,__A  ) else bos_token
         _lowercase							= AddedToken(__A						,lstrip=__A						,rstrip=__A  ) if isinstance(__A						,__A  ) else eos_token
         _lowercase							= AddedToken(__A						,lstrip=__A						,rstrip=__A  ) if isinstance(__A						,__A  ) else sep_token
         _lowercase							= AddedToken(__A						,lstrip=__A						,rstrip=__A  ) if isinstance(__A						,__A  ) else cls_token
         _lowercase							= AddedToken(__A						,lstrip=__A						,rstrip=__A  ) if isinstance(__A						,__A  ) else unk_token
         _lowercase							= AddedToken(__A						,lstrip=__A						,rstrip=__A  ) if isinstance(__A						,__A  ) else pad_token

         # Mask token behave like a normal word, i.e. include the space before it
         _lowercase							= AddedToken(__A						,lstrip=__A						,rstrip=__A  ) if isinstance(__A						,__A  ) else mask_token

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

         with open(__A						,encoding='utf-8'  ) as vocab_handle:
           _lowercase							= json.load(__A  )
         _lowercase							= {v: k for k, v in self.encoder.items()}
         _lowercase							= errors  # how to handle errors in decoding
         _lowercase							= bytes_to_unicode()
         _lowercase							= {v: k for k, v in self.byte_encoder.items()}
         with open(__A						,encoding='utf-8'  ) as merges_handle:
           _lowercase							= merges_handle.read().split('\n'  )[1:-1]
         _lowercase							= [tuple(merge.split()  ) for merge in bpe_merges]
         _lowercase							= dict(zip(__A						,range(len(__A  )  )  )  )
         _lowercase							= {}
         _lowercase							= add_prefix_space

         # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
         _lowercase							= re.compile(r'\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'  )







       @property
       def    __UpperCAmelCase (    self	:	Optional[int]  )						->					str:
         return len(self.encoder  )







       def    __UpperCAmelCase (    self	:	Union[str, Any]  )						->					Any:
         return dict(self.encoder						,**self.added_tokens_encoder  )







       def    __UpperCAmelCase (    self	:	Optional[Any]						,__A	:	Tuple  )						->					Tuple:
         if token in self.cache:
           return self.cache[token]
         _lowercase							= tuple(__A  )
         _lowercase							= get_pairs(__A  )

         if not pairs:
           return token

         while True:
           _lowercase							= min(__A						,key=lambda __A  : self.bpe_ranks.get(__A						,float('inf'  )  )  )
           if bigram not in self.bpe_ranks:
             break
           _lowercase						,		_lowercase							= bigram
           _lowercase							= []
           _lowercase							= 0
           while i < len(__A  ):
             try:
               _lowercase							= word.index(__A						,__A  )
             except ValueError:
               new_word.extend(word[i:]  )
               break
             else:
               new_word.extend(word[i:j]  )
               _lowercase							= j

             if word[i] == first and i < len(__A  ) - 1 and word[i + 1] == second:
               new_word.append(first + second  )
               i += 2
             else:
               new_word.append(word[i]  )
               i += 1
           _lowercase							= tuple(__A  )
           _lowercase							= new_word
           if len(__A  ) == 1:
             break
           else:
             _lowercase							= get_pairs(__A  )
         _lowercase							= ' '.join(__A  )
         _lowercase							= word
         return word







       def    __UpperCAmelCase (    self	:	Tuple						,__A	:	Optional[Any]  )						->					Dict:
         _lowercase							= []
         for token in re.findall(self.pat						,__A  ):
           _lowercase							= ''.join(
               self.byte_encoder[b] for b in token.encode('utf-8'  )  )  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
           bpe_tokens.extend(bpe_token for bpe_token in self.bpe(__A  ).split(' '  )  )
         return bpe_tokens







       def    __UpperCAmelCase (    self	:	List[str]						,__A	:	Optional[int]  )						->					Union[str, Any]:
         return self.encoder.get(__A						,self.encoder.get(self.unk_token  )  )







       def    __UpperCAmelCase (    self	:	Tuple						,__A	:	List[Any]  )						->					Any:
         return self.decoder.get(__A  )







       def    __UpperCAmelCase (    self	:	Optional[Any]						,__A	:	Union[str, Any]  )						->					Tuple:
         _lowercase							= ''.join(__A  )
         _lowercase							= bytearray([self.byte_decoder[c] for c in text]  ).decode('utf-8'						,errors=self.errors  )
         return text







       def    __UpperCAmelCase (    self	:	Optional[int]						,__A	:	str						,__A	:	Optional[str] = None  )						->					Tuple[str]:
         if not os.path.isdir(__A  ):
           logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""  )
           return
         _lowercase							= os.path.join(
             __A						,(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']  )
         _lowercase							= os.path.join(
             __A						,(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']  )

         with open(__A						,'w'						,encoding='utf-8'  ) as f:
           f.write(json.dumps(self.encoder						,indent=2						,sort_keys=__A						,ensure_ascii=__A  ) + '\n'  )

         _lowercase							= 0
         with open(__A						,'w'						,encoding='utf-8'  ) as writer:
           writer.write('#version: 0.2\n'  )
           for bpe_tokens, token_index in sorted(self.bpe_ranks.items()						,key=lambda __A  : kv[1]  ):
             if index != token_index:
               logger.warning(
                   F"""Saving vocabulary to {merge_file}: BPE merge indices are not consecutive."""
                   ' Please check that the tokenizer is not corrupted!'  )
               _lowercase							= token_index
             writer.write(' '.join(__A  ) + '\n'  )
             index += 1

         return vocab_file, merge_file







       def    __UpperCAmelCase (    self	:	Union[str, Any]						,__A	:	List[int]						,__A	:	Optional[List[int]] = None  )						->					List[int]:
         if token_ids_a is None:
           return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
         _lowercase							= [self.cls_token_id]
         _lowercase							= [self.sep_token_id]
         return cls + token_ids_a + sep + sep + token_ids_a + sep







       def    __UpperCAmelCase (    self	:	int						,__A	:	List[int]						,__A	:	Optional[List[int]] = None						,__A	:	bool = False  )						->					List[int]:
         if already_has_special_tokens:
           return super().get_special_tokens_mask(
               token_ids_a=__A						,token_ids_a=__A						,already_has_special_tokens=__A  )

         if token_ids_a is None:
           return [1] + ([0] * len(__A  )) + [1]
         return [1] + ([0] * len(__A  )) + [1, 1] + ([0] * len(__A  )) + [1]







       def    __UpperCAmelCase (    self	:	Tuple						,__A	:	List[int]						,__A	:	Optional[List[int]] = None  )						->					List[int]:
         _lowercase							= [self.sep_token_id]
         _lowercase							= [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]







       def    __UpperCAmelCase (    self	:	str						,__A	:	int						,__A	:	Optional[int]=False						,**__A	:	Tuple  )						->					List[Any]:
         _lowercase							= kwargs.pop('add_prefix_space'						,self.add_prefix_space  )
         if (is_split_into_words or add_prefix_space) and (len(__A  ) > 0 and not text[0].isspace()):
           _lowercase							= ' ' + text
         return (text, kwargs)






from collections import OrderedDict
from typing import Any, List, Mapping, Optional

from ... import PreTrainedTokenizer, TensorType, is_torch_available
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfigWithPast, PatchingSpec
from ...utils import logging


snake_case 				=       logging.get_logger(__name__)

snake_case 				=       {
    """EleutherAI/gpt-j-6B""": """https://huggingface.co/EleutherAI/gpt-j-6B/resolve/main/config.json""",
    # See all GPT-J models at https://huggingface.co/models?filter=gpt_j
}





class 				A_				(      UpperCAmelCase	):







       """simple docstring"""





       SCREAMING_SNAKE_CASE_      : str      =  '''gptj'''
       SCREAMING_SNAKE_CASE_      : int      =  {
           '''max_position_embeddings''': '''n_positions''',
           '''hidden_size''': '''n_embd''',
           '''num_attention_heads''': '''n_head''',
           '''num_hidden_layers''': '''n_layer''',
       }







       def __init__(    self	:	str						,__A	:	List[str]=5_0400						,__A	:	Dict=2048						,__A	:	List[str]=4096						,__A	:	Dict=28						,__A	:	Optional[int]=16						,__A	:	Tuple=64						,__A	:	Optional[int]=None						,__A	:	Optional[int]="gelu_new"						,__A	:	Dict=0.0						,__A	:	List[str]=0.0						,__A	:	Optional[int]=0.0						,__A	:	str=1e-5						,__A	:	List[Any]=0.02						,__A	:	str=True						,__A	:	int=5_0256						,__A	:	Union[str, Any]=5_0256						,__A	:	int=False						,**__A	:	List[Any]						,)						->					str:
         _lowercase							= vocab_size
         _lowercase							= n_positions
         _lowercase							= n_embd
         _lowercase							= n_layer
         _lowercase							= n_head
         _lowercase							= n_inner
         _lowercase							= rotary_dim
         _lowercase							= activation_function
         _lowercase							= resid_pdrop
         _lowercase							= embd_pdrop
         _lowercase							= attn_pdrop
         _lowercase							= layer_norm_epsilon
         _lowercase							= initializer_range
         _lowercase							= use_cache

         _lowercase							= bos_token_id
         _lowercase							= eos_token_id

         super().__init__(
             bos_token_id=__A						,eos_token_id=__A						,tie_word_embeddings=__A						,**__A  )





class 				A_				(      UpperCAmelCase	):







       """simple docstring"""





       def __init__(    self	:	Tuple						,__A	:	PretrainedConfig						,__A	:	str = "default"						,__A	:	List[PatchingSpec] = None						,__A	:	bool = False						,)						->					Any:
         super().__init__(__A						,task=__A						,patching_specs=__A						,use_past=__A  )
         if not getattr(self._config						,'pad_token_id'						,__A  ):
           # TODO: how to do that better?
           _lowercase							= 0







       @property
       def    __UpperCAmelCase (    self	:	Union[str, Any]  )						->					Mapping[str, Mapping[int, str]]:
         _lowercase							= OrderedDict({'input_ids': {0: 'batch', 1: 'sequence'}}  )
         if self.use_past:
           self.fill_with_past_key_values_(__A						,direction='inputs'  )
           _lowercase							= {0: 'batch', 1: 'past_sequence + sequence'}
         else:
           _lowercase							= {0: 'batch', 1: 'sequence'}

         return common_inputs







       @property
       def    __UpperCAmelCase (    self	:	Union[str, Any]  )						->					int:
         return self._config.n_layer







       @property
       def    __UpperCAmelCase (    self	:	Tuple  )						->					int:
         return self._config.n_head







       def    __UpperCAmelCase (    self	:	Any						,__A	:	PreTrainedTokenizer						,__A	:	int = -1						,__A	:	int = -1						,__A	:	bool = False						,__A	:	Optional[TensorType] = None						,)						->					Mapping[str, Any]:
         _lowercase							= super(__A						,self  ).generate_dummy_inputs(
             __A						,batch_size=__A						,seq_length=__A						,is_pair=__A						,framework=__A  )

         # We need to order the input in the way they appears in the forward()
         _lowercase							= OrderedDict({'input_ids': common_inputs['input_ids']}  )

         # Need to add the past_keys
         if self.use_past:
           if not is_torch_available():
             raise ValueError('Cannot generate dummy past_keys inputs without PyTorch installed.'  )
           else:
             import torch

             _lowercase						,		_lowercase							= common_inputs['input_ids'].shape
             # Not using the same length for past_key_values
             _lowercase							= seqlen + 2
             _lowercase							= (
                 batch,
                 self.num_attention_heads,
                 past_key_values_length,
                 self._config.hidden_size // self.num_attention_heads,
             )
             _lowercase							= [
                 (torch.zeros(__A  ), torch.zeros(__A  )) for _ in range(self.num_layers  )
             ]

         _lowercase							= common_inputs['attention_mask']
         if self.use_past:
           _lowercase							= ordered_inputs['attention_mask'].dtype
           _lowercase							= torch.cat(
               [ordered_inputs['attention_mask'], torch.ones(__A						,__A						,dtype=__A  )]						,dim=1  )

         return ordered_inputs







       @property
       def    __UpperCAmelCase (    self	:	str  )						->					int:
         return 13