

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


_UpperCamelCase     			=     logging.get_logger(__name__)


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

# See all LED models at https://huggingface.co/models?filter=LED
_UpperCamelCase     			=     {
    '''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''',
    },
}

_UpperCamelCase     			=     {
    '''allenai/led-base-16384''': 1_6384,
}
@lru_cache()
# Copied from transformers.models.bart.tokenization_bart.bytes_to_unicode
def 		UpperCamelCase_(     )			->					Any:
 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 		UpperCamelCase_(     snake_case__:    Dict  )			->					str:
 UpperCAmelCase__     							=							set()
 UpperCAmelCase__     							=							word[0]
 for char in word[1:]:
  pairs.add((prev_char, char)  )
  UpperCAmelCase__     							=							char
 return pairs







class        lowercase		(			snake_case__   ):



 '''simple docstring'''


 __SCREAMING_SNAKE_CASE   				=							VOCAB_FILES_NAMES
 __SCREAMING_SNAKE_CASE   				=							PRETRAINED_VOCAB_FILES_MAP
 __SCREAMING_SNAKE_CASE   				=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 __SCREAMING_SNAKE_CASE   				=							["""input_ids""", """attention_mask"""]




 def __init__(self			,			__a			,			__a			,			__a="replace"			,			__a="<s>"			,			__a="</s>"			,			__a="</s>"			,			__a="<s>"			,			__a="<unk>"			,			__a="<pad>"			,			__a="<mask>"			,			__a=False			,			**__a			,			)					->   Optional[int]:






  """simple docstring"""





  UpperCAmelCase__     							=							AddedToken(_UpperCamelCase			,			lstrip=_UpperCamelCase			,			rstrip=_UpperCamelCase					) if isinstance(_UpperCamelCase			,			_UpperCamelCase					) else bos_token
  UpperCAmelCase__     							=							AddedToken(_UpperCamelCase			,			lstrip=_UpperCamelCase			,			rstrip=_UpperCamelCase					) if isinstance(_UpperCamelCase			,			_UpperCamelCase					) else eos_token
  UpperCAmelCase__     							=							AddedToken(_UpperCamelCase			,			lstrip=_UpperCamelCase			,			rstrip=_UpperCamelCase					) if isinstance(_UpperCamelCase			,			_UpperCamelCase					) else sep_token
  UpperCAmelCase__     							=							AddedToken(_UpperCamelCase			,			lstrip=_UpperCamelCase			,			rstrip=_UpperCamelCase					) if isinstance(_UpperCamelCase			,			_UpperCamelCase					) else cls_token
  UpperCAmelCase__     							=							AddedToken(_UpperCamelCase			,			lstrip=_UpperCamelCase			,			rstrip=_UpperCamelCase					) if isinstance(_UpperCamelCase			,			_UpperCamelCase					) else unk_token
  UpperCAmelCase__     							=							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
  UpperCAmelCase__     							=							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:
   UpperCAmelCase__     							=							json.load(_UpperCamelCase					)
  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(_UpperCamelCase			,			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(_UpperCamelCase			,			range(len(_UpperCamelCase					)					)					)					)
  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     UpperCamelCase__				(self					)					->   List[Any]:






  """simple docstring"""





  return len(self.encoder					)




 def     UpperCamelCase__				(self					)					->   List[str]:






  """simple docstring"""





  return dict(self.encoder			,			**self.added_tokens_encoder					)




 def     UpperCamelCase__				(self			,			__a					)					->   str:






  """simple docstring"""





  if token in self.cache:
   return self.cache[token]
  UpperCAmelCase__     							=							tuple(_UpperCamelCase					)
  UpperCAmelCase__     							=							get_pairs(_UpperCamelCase					)

  if not pairs:
   return token

  while True:
   UpperCAmelCase__     							=							min(_UpperCamelCase			,			key=lambda __a					: self.bpe_ranks.get(_UpperCamelCase			,			float('inf'					)					)					)
   if bigram not in self.bpe_ranks:
    break
   UpperCAmelCase__							,       UpperCAmelCase__     							=							bigram
   UpperCAmelCase__     							=							[]
   UpperCAmelCase__     							=							0
   while i < len(_UpperCamelCase					):
    try:
     UpperCAmelCase__     							=							word.index(_UpperCamelCase			,			_UpperCamelCase					)
    except ValueError:
     new_word.extend(word[i:]					)
     break
    else:
     new_word.extend(word[i:j]					)
     UpperCAmelCase__     							=							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
   UpperCAmelCase__     							=							tuple(_UpperCamelCase					)
   UpperCAmelCase__     							=							new_word
   if len(_UpperCamelCase					) == 1:
    break
   else:
    UpperCAmelCase__     							=							get_pairs(_UpperCamelCase					)
  UpperCAmelCase__     							=							' '.join(_UpperCamelCase					)
  UpperCAmelCase__     							=							word
  return word




 def     UpperCamelCase__				(self			,			__a					)					->   List[Any]:






  """simple docstring"""





  UpperCAmelCase__     							=							[]
  for token in re.findall(self.pat			,			_UpperCamelCase					):
   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(_UpperCamelCase					).split(' '					)					)
  return bpe_tokens




 def     UpperCamelCase__				(self			,			__a					)					->   Optional[Any]:






  """simple docstring"""





  return self.encoder.get(_UpperCamelCase			,			self.encoder.get(self.unk_token					)					)




 def     UpperCamelCase__				(self			,			__a					)					->   Any:






  """simple docstring"""





  return self.decoder.get(_UpperCamelCase					)




 def     UpperCamelCase__				(self			,			__a					)					->   str:






  """simple docstring"""





  UpperCAmelCase__     							=							''.join(_UpperCamelCase					)
  UpperCAmelCase__     							=							bytearray([self.byte_decoder[c] for c in text]					).decode('utf-8'			,			errors=self.errors					)
  return text




 def     UpperCamelCase__				(self			,			__a			,			__a = None					)					->   Tuple[str]:






  """simple docstring"""





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

  UpperCAmelCase__     							=							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 __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!'					)
     UpperCAmelCase__     							=							token_index
    writer.write(' '.join(_UpperCamelCase					) + '\n'					)
    index += 1

  return vocab_file, merge_file




 def     UpperCamelCase__				(self			,			__a			,			__a = None					)					->   List[int]:






  """simple docstring"""





  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     UpperCamelCase__				(self			,			__a			,			__a = None			,			__a = False					)					->   List[int]:






  """simple docstring"""





  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     UpperCamelCase__				(self			,			__a			,			__a = None					)					->   List[int]:






  """simple docstring"""





  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     UpperCamelCase__				(self			,			__a			,			__a=False			,			**__a					)					->   List[str]:






  """simple docstring"""





  UpperCAmelCase__     							=							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()):
   UpperCAmelCase__     							=							' ' + text
  return (text, kwargs)




 def     UpperCamelCase__				(self			,			__a			,			__a = None			,			__a = PaddingStrategy.DO_NOT_PAD			,			__a = None			,			__a = None			,			)					->   dict:






  """simple docstring"""





  UpperCAmelCase__     							=							super()._pad(
      encoded_inputs=_UpperCamelCase			,			max_length=_UpperCamelCase			,			padding_strategy=_UpperCamelCase			,			pad_to_multiple_of=_UpperCamelCase			,			return_attention_mask=_UpperCamelCase			,			)

  # 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(_UpperCamelCase					)

   if needs_to_be_padded:
    UpperCAmelCase__     							=							len(_UpperCamelCase					) - 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






from argparse import ArgumentParser

from . import BaseTransformersCLICommand







def 						lowerCamelCase__      ( __A    :Optional[int]		):


       """simple docstring"""




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




class     __snake_case    (				snake_case__  ):
       """simple docstring"""







       @staticmethod
       def 			a		(		_UpperCamelCase   )      ->							Any:






              """simple docstring"""


              __snake_case       	=							parser.add_parser("""download"""   )
              download_parser.add_argument(
                  """--cache-dir"""      , type=_UpperCamelCase      , default=_UpperCamelCase      , 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=_UpperCamelCase      , help="""Name of the model to download"""   )
              download_parser.set_defaults(func=_UpperCamelCase   )


       def __init__(		self      , _UpperCamelCase      , _UpperCamelCase      , _UpperCamelCase      , _UpperCamelCase   )      ->							Any:






              """simple docstring"""


              __snake_case       	=							model
              __snake_case       	=							cache
              __snake_case       	=							force
              __snake_case       	=							trust_remote_code






       def 			a		(		self   )      ->							List[Any]:






              """simple docstring"""


              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   )

