






"""simple docstring"""





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

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...tokenization_utils_base import BatchEncoding, EncodedInput
from ...utils import PaddingStrategy, logging


A__					: Tuple=	logging.get_logger(__name__)


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

# See all LED models at https://huggingface.co/models?filter=LED
A__					: int=	{
    "vocab_file": {
        "allenai/led-base-16384": "https://huggingface.co/allenai/led-base-16384/resolve/main/vocab.json",
    },
    "merges_file": {
        "allenai/led-base-16384": "https://huggingface.co/allenai/led-base-16384/resolve/main/merges.txt",
    },
    "tokenizer_file": {
        "allenai/led-base-16384": "https://huggingface.co/allenai/led-base-16384/resolve/main/tokenizer.json",
    },
}

A__					: List[str]=	{
    "allenai/led-base-16384": 1_63_84,
}







@lru_cache()
# Copied from transformers.models.bart.tokenization_bart.bytes_to_unicode
def   lowerCAmelCase_( )					->	Tuple:
      """simple docstring"""

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







def   lowerCAmelCase_( SCREAMING_SNAKE_CASE					)					->	str:
      """simple docstring"""

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





class    __lowerCamelCase    (  _UpperCAmelCase  ):
   a      :				str 						=VOCAB_FILES_NAMES
   a      :				int 						=PRETRAINED_VOCAB_FILES_MAP
   a      :				Union[str, Any] 						=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   a      :				List[str] 						=["""input_ids""", """attention_mask"""]

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

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

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

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

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

   @property
   # Copied from transformers.models.bart.tokenization_bart.BartTokenizer.vocab_size
   def 						SCREAMING_SNAKE_CASE__ (					self      )		->       str:
         return len(self.encoder      )

   def 						SCREAMING_SNAKE_CASE__ (					self      )		->       Any:
         return dict(self.encoder ,				**self.added_tokens_encoder      )

   def 						SCREAMING_SNAKE_CASE__ (					self ,				snake_case_      )		->       List[str]:




         if token in self.cache:
               return self.cache[token]
         UpperCamelCase__         =    tuple(lowerCamelCase_      )
         UpperCamelCase__         =    get_pairs(lowerCamelCase_      )

         if not pairs:
               return token

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

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

   def 						SCREAMING_SNAKE_CASE__ (					self ,				snake_case_      )		->       Tuple:
         UpperCamelCase__         =    []
         for token in re.findall(self.pat ,				lowerCamelCase_      ):
               UpperCamelCase__         =    ''''''.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(lowerCamelCase_      ).split(' '      )      )
         return bpe_tokens

   def 						SCREAMING_SNAKE_CASE__ (					self ,				snake_case_      )		->       Dict:
         return self.encoder.get(lowerCamelCase_ ,				self.encoder.get(self.unk_token      )      )

   def 						SCREAMING_SNAKE_CASE__ (					self ,				snake_case_      )		->       Union[str, Any]:
         return self.decoder.get(lowerCamelCase_      )

   def 						SCREAMING_SNAKE_CASE__ (					self ,				snake_case_      )		->       Union[str, Any]:
         UpperCamelCase__         =    ''''''.join(lowerCamelCase_      )
         UpperCamelCase__         =    bytearray([self.byte_decoder[c] for c in text]      ).decode('utf-8' ,				errors=self.errors      )
         return text

   def 						SCREAMING_SNAKE_CASE__ (					self ,				snake_case_ ,				snake_case_ = None      )		->       Tuple[str]:




         if not os.path.isdir(lowerCamelCase_      ):
               logger.error(F'Vocabulary path ({save_directory}) should be a directory'      )
               return
         UpperCamelCase__         =    os.path.join(
             lowerCamelCase_ ,				(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']      )
         UpperCamelCase__         =    os.path.join(
             lowerCamelCase_ ,				(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']      )

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

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

         return vocab_file, merge_file

   def 						SCREAMING_SNAKE_CASE__ (					self ,				snake_case_ ,				snake_case_ = None      )		->       List[int]:




         if token_ids_a is None:
               return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
         UpperCamelCase__         =    [self.cls_token_id]
         UpperCamelCase__         =    [self.sep_token_id]
         return cls + token_ids_a + sep + sep + token_ids_a + sep

   def 						SCREAMING_SNAKE_CASE__ (					self ,				snake_case_ ,				snake_case_ = None ,				snake_case_ = False      )		->       List[int]:




         if already_has_special_tokens:
               return super().get_special_tokens_mask(
                   token_ids_a=lowerCamelCase_ ,				token_ids_a=lowerCamelCase_ ,				already_has_special_tokens=lowerCamelCase_      )

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

   def 						SCREAMING_SNAKE_CASE__ (					self ,				snake_case_ ,				snake_case_ = None      )		->       List[int]:
         UpperCamelCase__         =    [self.sep_token_id]
         UpperCamelCase__         =    [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 						SCREAMING_SNAKE_CASE__ (					self ,				snake_case_ ,				snake_case_=False ,				**snake_case_      )		->       Optional[Any]:
         UpperCamelCase__         =    kwargs.pop('add_prefix_space' ,				self.add_prefix_space      )
         if (is_split_into_words or add_prefix_space) and (len(lowerCamelCase_      ) > 0 and not text[0].isspace()):
               UpperCamelCase__         =    ''' ''' + text
         return (text, kwargs)







   def 						SCREAMING_SNAKE_CASE__ (					self ,				snake_case_ ,				snake_case_ = None ,				snake_case_ = PaddingStrategy.DO_NOT_PAD ,				snake_case_ = None ,				snake_case_ = None ,				)		->       dict:
         UpperCamelCase__         =    super()._pad(
             encoded_inputs=lowerCamelCase_ ,				max_length=lowerCamelCase_ ,				padding_strategy=lowerCamelCase_ ,				pad_to_multiple_of=lowerCamelCase_ ,				return_attention_mask=lowerCamelCase_ ,				)

         # Load from model defaults
         if return_attention_mask is None:
               UpperCamelCase__         =    '''attention_mask''' in self.model_input_names

         if return_attention_mask and "global_attention_mask" in encoded_inputs:
               UpperCamelCase__         =    encoded_inputs[self.model_input_names[0]]
               # `global_attention_mask` need to have the same length as other (sequential) inputs.
               UpperCamelCase__         =    len(encoded_inputs['global_attention_mask']      ) != len(lowerCamelCase_      )

               if needs_to_be_padded:
                     UpperCamelCase__         =    len(lowerCamelCase_      ) - len(encoded_inputs['global_attention_mask']      )

                     if self.padding_side == "right":
                           # Use `-1` since `0` in `global_attention_mask` means `local attention` instead of `not to attend`
                           UpperCamelCase__         =    (
                               encoded_inputs['''global_attention_mask'''] + [-1] * difference
                           )
                     elif self.padding_side == "left":
                           UpperCamelCase__         =    [-1] * difference + encoded_inputs[
                               '''global_attention_mask'''
                           ]
                     else:
                           raise ValueError('Invalid padding strategy:' + str(self.padding_side      )      )

         return encoded_inputs












"""simple docstring"""





from argparse import ArgumentParser

from . import BaseTransformersCLICommand







def   lowerCAmelCase_( SCREAMING_SNAKE_CASE					)					->	Dict:
    """simple docstring"""

    return DownloadCommand(args.model ,	args.cache_dir ,	args.force ,	args.trust_remote_code					)





class    __lowerCamelCase    (  _a  ):

   @staticmethod
   def 						SCREAMING_SNAKE_CASE__ (					snake_case_      )		->       Union[str, Any]:
       UpperCamelCase__         =    parser.add_parser('download'      )
       download_parser.add_argument(
           '--cache-dir' ,				type=snake_case_ ,				default=snake_case_ ,				help='Path to location to store the models'      )
       download_parser.add_argument(
           '--force' ,				action='store_true' ,				help='Force the model to be download even if already in cache-dir'      )
       download_parser.add_argument(
           '--trust-remote-code' ,				action='store_true' ,				help='Whether or not to allow for custom models defined on the Hub in their own modeling files. Use only if you\'ve reviewed the code as it will execute on your local machine' ,				)
       download_parser.add_argument('model' ,				type=snake_case_ ,				help='Name of the model to download'      )
       download_parser.set_defaults(func=snake_case_      )

   def __init__(					self ,				snake_case_ ,				snake_case_ ,				snake_case_ ,				snake_case_      )		->       str:
       UpperCamelCase__         =    model
       UpperCamelCase__         =    cache
       UpperCamelCase__         =    force
       UpperCamelCase__         =    trust_remote_code







   def 						SCREAMING_SNAKE_CASE__ (					self      )		->       List[Any]:
       from ..models.auto import AutoModel, AutoTokenizer

       AutoModel.from_pretrained(
           self._model ,				cache_dir=self._cache ,				force_download=self._force ,				trust_remote_code=self._trust_remote_code      )
       AutoTokenizer.from_pretrained(
           self._model ,				cache_dir=self._cache ,				force_download=self._force ,				trust_remote_code=self._trust_remote_code      )




