
'''simple docstring'''


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


_SCREAMING_SNAKE_CASE	 =							logging.get_logger(__name__)


_SCREAMING_SNAKE_CASE	 =							{'vocab_file': 'vocab.json', 'merges_file': 'merges.txt'}

_SCREAMING_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'
        ),
    },
}

_SCREAMING_SNAKE_CASE	 =							{
    'allenai/longformer-base-4096': 40_96,
    'allenai/longformer-large-4096': 40_96,
    'allenai/longformer-large-4096-finetuned-triviaqa': 40_96,
    'allenai/longformer-base-4096-extra.pos.embd.only': 40_96,
    'allenai/longformer-large-4096-extra.pos.embd.only': 40_96,
}


@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def 	__a():



    '''simple docstring'''





    _lowerCAmelCase				=      (
        list(range(ord("!"    )		,       ord("~"    ) + 1    )    ) + list(range(ord("¡"    )		,       ord("¬"    ) + 1    )    ) + list(range(ord("®"    )		,       ord("ÿ"    ) + 1    )    )
    )
    _lowerCAmelCase				=      bs[:]
    _lowerCAmelCase				=      0
    for b in range(2**8    ):
        if b not in bs:
            bs.append(__UpperCamelCase    )
            cs.append(2**8 + n    )
            n += 1
    _lowerCAmelCase				=      [chr(__UpperCamelCase    ) for n in cs]
    return dict(zip(__UpperCamelCase		,       __UpperCamelCase    )    )


def 	__a(SCREAMING_SNAKE_CASE_  :					Dict    ):



    '''simple docstring'''





    _lowerCAmelCase				=      set()
    _lowerCAmelCase				=      word[0]
    for char in word[1:]:
        pairs.add((prev_char, char)    )
        _lowerCAmelCase				=      char
    return pairs





class    lowerCAmelCase_		(		SCREAMING_SNAKE_CASE_		):
 __lowerCamelCase						:							Tuple         =					VOCAB_FILES_NAMES
 __lowerCamelCase						:							List[Any]         =					PRETRAINED_VOCAB_FILES_MAP
 __lowerCamelCase						:							List[Any]         =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 __lowerCamelCase						:							List[Any]         =					["input_ids", "attention_mask"]




 def __init__(	self			,     _lowerCAmelCase			,     _lowerCAmelCase			,     _lowerCAmelCase="replace"			,     _lowerCAmelCase="<s>"			,     _lowerCAmelCase="</s>"			,     _lowerCAmelCase="</s>"			,     _lowerCAmelCase="<s>"			,     _lowerCAmelCase="<unk>"			,     _lowerCAmelCase="<pad>"			,     _lowerCAmelCase="<mask>"			,     _lowerCAmelCase=False			,     **_lowerCAmelCase			,     )    ->							List[str]:
     _lowerCAmelCase				=      AddedToken(UpperCamelCase__			,     lstrip=UpperCamelCase__			,     rstrip=UpperCamelCase__		) if isinstance(UpperCamelCase__			,     UpperCamelCase__		) else bos_token
     _lowerCAmelCase				=      AddedToken(UpperCamelCase__			,     lstrip=UpperCamelCase__			,     rstrip=UpperCamelCase__		) if isinstance(UpperCamelCase__			,     UpperCamelCase__		) else eos_token
     _lowerCAmelCase				=      AddedToken(UpperCamelCase__			,     lstrip=UpperCamelCase__			,     rstrip=UpperCamelCase__		) if isinstance(UpperCamelCase__			,     UpperCamelCase__		) else sep_token
     _lowerCAmelCase				=      AddedToken(UpperCamelCase__			,     lstrip=UpperCamelCase__			,     rstrip=UpperCamelCase__		) if isinstance(UpperCamelCase__			,     UpperCamelCase__		) else cls_token
     _lowerCAmelCase				=      AddedToken(UpperCamelCase__			,     lstrip=UpperCamelCase__			,     rstrip=UpperCamelCase__		) if isinstance(UpperCamelCase__			,     UpperCamelCase__		) else unk_token
     _lowerCAmelCase				=      AddedToken(UpperCamelCase__			,     lstrip=UpperCamelCase__			,     rstrip=UpperCamelCase__		) if isinstance(UpperCamelCase__			,     UpperCamelCase__		) else pad_token

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

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

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

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




 @property
 def 							_snake_case   (	self		)    ->							Any:
     return len(self.encoder		)




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




 def 							_snake_case   (	self			,     _lowerCAmelCase		)    ->							Any:
     if token in self.cache:
         return self.cache[token]
     _lowerCAmelCase				=      tuple(UpperCamelCase__		)
     _lowerCAmelCase				=      get_pairs(UpperCamelCase__		)

     if not pairs:
         return token

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

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




 def 							_snake_case   (	self			,     _lowerCAmelCase		)    ->							List[Any]:
     _lowerCAmelCase				=      []
     for token in re.findall(self.pat			,     UpperCamelCase__		):
         _lowerCAmelCase				=      ''''''.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(UpperCamelCase__		).split(" "		)		)
     return bpe_tokens




 def 							_snake_case   (	self			,     _lowerCAmelCase		)    ->							Optional[int]:
     return self.encoder.get(UpperCamelCase__			,     self.encoder.get(self.unk_token		)		)




 def 							_snake_case   (	self			,     _lowerCAmelCase		)    ->							int:
     return self.decoder.get(UpperCamelCase__		)




 def 							_snake_case   (	self			,     _lowerCAmelCase		)    ->							List[str]:
     _lowerCAmelCase				=      ''''''.join(UpperCamelCase__		)
     _lowerCAmelCase				=      bytearray([self.byte_decoder[c] for c in text]		).decode("utf-8"			,     errors=self.errors		)
     return text




 def 							_snake_case   (	self			,     _lowerCAmelCase			,     _lowerCAmelCase = None		)    ->							Tuple:
     if not os.path.isdir(UpperCamelCase__		):
         logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''		)
         return
     _lowerCAmelCase				=      os.path.join(
         UpperCamelCase__			,     (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]		)
     _lowerCAmelCase				=      os.path.join(
         UpperCamelCase__			,     (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"]		)

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

     _lowerCAmelCase				=      0
     with open(UpperCamelCase__			,     "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 _lowerCAmelCase		: 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!"		)
                 _lowerCAmelCase				=      token_index
             writer.write(" ".join(UpperCamelCase__		) + "\n"		)
             index += 1

     return vocab_file, merge_file




 def 							_snake_case   (	self			,     _lowerCAmelCase			,     _lowerCAmelCase = None		)    ->							Tuple:
     if token_ids_a is None:
         return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
     _lowerCAmelCase				=      [self.cls_token_id]
     _lowerCAmelCase				=      [self.sep_token_id]
     return cls + token_ids_a + sep + sep + token_ids_a + sep




 def 							_snake_case   (	self			,     _lowerCAmelCase			,     _lowerCAmelCase = None			,     _lowerCAmelCase = False		)    ->							str:
     if already_has_special_tokens:
         return super().get_special_tokens_mask(
             token_ids_a=UpperCamelCase__			,     token_ids_a=UpperCamelCase__			,     already_has_special_tokens=UpperCamelCase__		)

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




 def 							_snake_case   (	self			,     _lowerCAmelCase			,     _lowerCAmelCase = None		)    ->							int:
     _lowerCAmelCase				=      [self.sep_token_id]
     _lowerCAmelCase				=      [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 							_snake_case   (	self			,     _lowerCAmelCase			,     _lowerCAmelCase=False			,     **_lowerCAmelCase		)    ->							Union[str, Any]:
     _lowerCAmelCase				=      kwargs.pop("add_prefix_space"			,     self.add_prefix_space		)
     if (is_split_into_words or add_prefix_space) and (len(UpperCamelCase__		) > 0 and not text[0].isspace()):
         _lowerCAmelCase				=      ''' ''' + text
     return (text, kwargs)









'''simple docstring'''


from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_sentencepiece_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


_SCREAMING_SNAKE_CASE	 =							{"configuration_xglm": ["XGLM_PRETRAINED_CONFIG_ARCHIVE_MAP", "XGLMConfig"]}

try:
       if not is_sentencepiece_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       _SCREAMING_SNAKE_CASE	 =							["XGLMTokenizer"]

try:
       if not is_tokenizers_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       _SCREAMING_SNAKE_CASE	 =							["XGLMTokenizerFast"]

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       _SCREAMING_SNAKE_CASE	 =							[
           "XGLM_PRETRAINED_MODEL_ARCHIVE_LIST",
           "XGLMForCausalLM",
           "XGLMModel",
           "XGLMPreTrainedModel",
       ]


try:
       if not is_flax_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       _SCREAMING_SNAKE_CASE	 =							[
           "FlaxXGLMForCausalLM",
           "FlaxXGLMModel",
           "FlaxXGLMPreTrainedModel",
       ]


try:
       if not is_tf_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       _SCREAMING_SNAKE_CASE	 =							[
           "TF_XGLM_PRETRAINED_MODEL_ARCHIVE_LIST",
           "TFXGLMForCausalLM",
           "TFXGLMModel",
           "TFXGLMPreTrainedModel",
       ]


if TYPE_CHECKING:
       from .configuration_xglm import XGLM_PRETRAINED_CONFIG_ARCHIVE_MAP, XGLMConfig

       try:
              if not is_sentencepiece_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .tokenization_xglm import XGLMTokenizer

       try:
              if not is_tokenizers_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .tokenization_xglm_fast import XGLMTokenizerFast

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_xglm import XGLM_PRETRAINED_MODEL_ARCHIVE_LIST, XGLMForCausalLM, XGLMModel, XGLMPreTrainedModel

       try:
              if not is_flax_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_flax_xglm import FlaxXGLMForCausalLM, FlaxXGLMModel, FlaxXGLMPreTrainedModel

       try:
              if not is_tf_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_tf_xglm import (
                  TF_XGLM_PRETRAINED_MODEL_ARCHIVE_LIST,
                  TFXGLMForCausalLM,
                  TFXGLMModel,
                  TFXGLMPreTrainedModel,
              )


else:
       import sys

       _SCREAMING_SNAKE_CASE	 =							_LazyModule(__name__, globals()["__file__"], _import_structure)


