





'''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


lowercase__						:      int		=    logging.get_logger(__name__)


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

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

lowercase__						:      Any		=    {
    'allenai/led-base-16384': 1_63_84,
}







@lru_cache()
# Copied from transformers.models.bart.tokenization_bart.bytes_to_unicode
def  a__    (    )		->		List[str]:





     """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(lowercase				)
               cs.append(2**8 + n				)
               n += 1
     _UpperCamelCase       =	[chr(lowercase				) for n in cs]
     return dict(zip(lowercase, lowercase				)				)







def  a__    (    lowercase :					Tuple				)		->		List[str]:





     """simple docstring"""

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




class     __lowerCAmelCase					(   __magic_name__			):






       """simple docstring"""
       _snake_case     :					Any						    =   VOCAB_FILES_NAMES
       _snake_case     :					List[str]						    =   PRETRAINED_VOCAB_FILES_MAP
       _snake_case     :					Any						    =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       _snake_case     :					Optional[Any]						    =   ['input_ids', 'attention_mask']





       def __init__(							self       :		List[Any]	,			lowerCAmelCase__       :		int	,			lowerCAmelCase__       :		List[Any]	,			lowerCAmelCase__       :		Any="replace"	,			lowerCAmelCase__       :		Any="<s>"	,			lowerCAmelCase__       :		int="</s>"	,			lowerCAmelCase__       :		Tuple="</s>"	,			lowerCAmelCase__       :		Optional[int]="<s>"	,			lowerCAmelCase__       :		List[Any]="<unk>"	,			lowerCAmelCase__       :		int="<pad>"	,			lowerCAmelCase__       :		List[Any]="<mask>"	,			lowerCAmelCase__       :		Union[str, Any]=False	,			**lowerCAmelCase__       :		Optional[int]	,			)   ->					Optional[int]:

            '''simple docstring'''




            _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 snake_case__						(							self       :		Tuple					)   ->					List[str]:

            '''simple docstring'''




            return len(self.encoder					)





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

            '''simple docstring'''




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





       def snake_case__						(							self       :		str	,			lowerCAmelCase__       :		Optional[Any]					)   ->					Any:

            '''simple docstring'''




            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 lowerCAmelCase__					: self.bpe_ranks.get(lowerCAmelCase__	,			float('''inf'''					)					)					)
                 if bigram not in self.bpe_ranks:
                      break
                 _UpperCamelCase   ,    _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 snake_case__						(							self       :		Union[str, Any]	,			lowerCAmelCase__       :		Any					)   ->					List[str]:

            '''simple docstring'''




            _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 snake_case__						(							self       :		Optional[int]	,			lowerCAmelCase__       :		Optional[int]					)   ->					Any:

            '''simple docstring'''




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





       def snake_case__						(							self       :		int	,			lowerCAmelCase__       :		List[Any]					)   ->					Union[str, Any]:

            '''simple docstring'''




            return self.decoder.get(lowerCAmelCase__					)





       def snake_case__						(							self       :		int	,			lowerCAmelCase__       :		List[str]					)   ->					List[str]:

            '''simple docstring'''




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





       def snake_case__						(							self       :		Tuple	,			lowerCAmelCase__       :		str	,			lowerCAmelCase__       :		Optional[str] = None					)   ->					Tuple[str]:

            '''simple docstring'''




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

            return vocab_file, merge_file





       def snake_case__						(							self       :		int	,			lowerCAmelCase__       :		List[int]	,			lowerCAmelCase__       :		Optional[List[int]] = 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 snake_case__						(							self       :		Tuple	,			lowerCAmelCase__       :		List[int]	,			lowerCAmelCase__       :		Optional[List[int]] = None	,			lowerCAmelCase__       :		bool = False					)   ->					List[int]:

            '''simple docstring'''




            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 snake_case__						(							self       :		List[str]	,			lowerCAmelCase__       :		List[int]	,			lowerCAmelCase__       :		Optional[List[int]] = 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 snake_case__						(							self       :		Dict	,			lowerCAmelCase__       :		Optional[Any]	,			lowerCAmelCase__       :		Optional[int]=False	,			**lowerCAmelCase__       :		List[str]					)   ->					Optional[Any]:

            '''simple docstring'''




            _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 snake_case__						(							self       :		Union[str, Any]	,			lowerCAmelCase__       :		Union[Dict[str, EncodedInput], BatchEncoding]	,			lowerCAmelCase__       :		Optional[int] = None	,			lowerCAmelCase__       :		PaddingStrategy = PaddingStrategy.DO_NOT_PAD	,			lowerCAmelCase__       :		Optional[int] = None	,			lowerCAmelCase__       :		Optional[bool] = None	,			)   ->					dict:

            '''simple docstring'''




            _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'''

import random
class     __lowerCAmelCase					:






       """simple docstring"""





       @staticmethod
       def snake_case__						(							lowerCAmelCase__       :		str					)   ->					tuple[list[int], list[int]]:

            '''simple docstring'''




            _UpperCamelCase       =	[ord(lowerCAmelCase__					) for i in text]
            _UpperCamelCase       =	[]
            _UpperCamelCase       =	[]
            for i in plain:
                 _UpperCamelCase       =	random.randint(1	,			300					)
                 _UpperCamelCase       =	(i + k) * k
                 cipher.append(lowerCAmelCase__					)
                 key.append(lowerCAmelCase__					)
            return cipher, key







       @staticmethod
       def snake_case__						(							lowerCAmelCase__       :		list[int]	,			lowerCAmelCase__       :		list[int]					)   ->					str:

            '''simple docstring'''




            _UpperCamelCase       =	[]
            for i in range(len(lowerCAmelCase__					)					):
                 _UpperCamelCase       =	int((cipher[i] - (key[i]) ** 2) / key[i]					)
                 plain.append(chr(lowerCAmelCase__					)					)
            return "".join(lowerCAmelCase__					)


if __name__ == "__main__":
   lowercase__	,       lowercase__						:      List[str]	=    Onepad().encrypt('Hello')
   print(c, k)
   print(Onepad().decrypt(c, k))



