




"""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


a         =      logging.get_logger(__name__)


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

# See all BART models at https://huggingface.co/models?filter=bart
a         =      {
    "vocab_file": {
        "facebook/bart-base": "https://huggingface.co/facebook/bart-base/resolve/main/vocab.json",
        "facebook/bart-large": "https://huggingface.co/facebook/bart-large/resolve/main/vocab.json",
        "facebook/bart-large-mnli": "https://huggingface.co/facebook/bart-large-mnli/resolve/main/vocab.json",
        "facebook/bart-large-cnn": "https://huggingface.co/facebook/bart-large-cnn/resolve/main/vocab.json",
        "facebook/bart-large-xsum": "https://huggingface.co/facebook/bart-large-xsum/resolve/main/vocab.json",
        "yjernite/bart_eli5": "https://huggingface.co/yjernite/bart_eli5/resolve/main/vocab.json",
    },
    "merges_file": {
        "facebook/bart-base": "https://huggingface.co/facebook/bart-base/resolve/main/merges.txt",
        "facebook/bart-large": "https://huggingface.co/facebook/bart-large/resolve/main/merges.txt",
        "facebook/bart-large-mnli": "https://huggingface.co/facebook/bart-large-mnli/resolve/main/merges.txt",
        "facebook/bart-large-cnn": "https://huggingface.co/facebook/bart-large-cnn/resolve/main/merges.txt",
        "facebook/bart-large-xsum": "https://huggingface.co/facebook/bart-large-xsum/resolve/main/merges.txt",
        "yjernite/bart_eli5": "https://huggingface.co/yjernite/bart_eli5/resolve/main/merges.txt",
    },
}

a         =      {
    "facebook/bart-base": 1_024,
    "facebook/bart-large": 1_024,
    "facebook/bart-large-mnli": 1_024,
    "facebook/bart-large-cnn": 1_024,
    "facebook/bart-large-xsum": 1_024,
    "yjernite/bart_eli5": 1_024,
}






@lru_cache()
def 						_snake_case					( )   -> Optional[Any]:






      '''simple docstring'''


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






def 						_snake_case					( _snake_case							: List[str]							)   -> int:






      '''simple docstring'''


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







class     lowercase_	(					snake_case__							):



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

 def __init__(			self	:	Optional[Any]   ,							_UpperCAmelCase	:	List[Any]   ,							_UpperCAmelCase	:	Optional[int]   ,							_UpperCAmelCase	:	int="replace"   ,							_UpperCAmelCase	:	Union[str, Any]="<s>"   ,							_UpperCAmelCase	:	List[str]="</s>"   ,							_UpperCAmelCase	:	List[Any]="</s>"   ,							_UpperCAmelCase	:	int="<s>"   ,							_UpperCAmelCase	:	int="<unk>"   ,							_UpperCAmelCase	:	Dict="<pad>"   ,							_UpperCAmelCase	:	Union[str, Any]="<mask>"   ,							_UpperCAmelCase	:	Union[str, Any]=False   ,							**_UpperCAmelCase	:	Any   ,							):
       _A        =       AddedToken(UpperCAmelCase_   ,							lstrip=UpperCAmelCase_   ,							rstrip=UpperCAmelCase_		) if isinstance(UpperCAmelCase_   ,							UpperCAmelCase_		) else bos_token
       _A        =       AddedToken(UpperCAmelCase_   ,							lstrip=UpperCAmelCase_   ,							rstrip=UpperCAmelCase_		) if isinstance(UpperCAmelCase_   ,							UpperCAmelCase_		) else eos_token
       _A        =       AddedToken(UpperCAmelCase_   ,							lstrip=UpperCAmelCase_   ,							rstrip=UpperCAmelCase_		) if isinstance(UpperCAmelCase_   ,							UpperCAmelCase_		) else sep_token
       _A        =       AddedToken(UpperCAmelCase_   ,							lstrip=UpperCAmelCase_   ,							rstrip=UpperCAmelCase_		) if isinstance(UpperCAmelCase_   ,							UpperCAmelCase_		) else cls_token
       _A        =       AddedToken(UpperCAmelCase_   ,							lstrip=UpperCAmelCase_   ,							rstrip=UpperCAmelCase_		) if isinstance(UpperCAmelCase_   ,							UpperCAmelCase_		) else unk_token
       _A        =       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
       _A        =       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:
             _A        =       json.load(UpperCAmelCase_		)
       _A        =       {v: k for k, v in self.encoder.items()}
       _A        =       errors  # how to handle errors in decoding
       _A        =       bytes_to_unicode()
       _A        =       {v: k for k, v in self.byte_encoder.items()}
       with open(UpperCAmelCase_   ,							encoding='utf-8'		) as merges_handle:
             _A        =       merges_handle.read().split('\n'		)[1:-1]
       _A        =       [tuple(merge.split()		) for merge in bpe_merges]
       _A        =       dict(zip(UpperCAmelCase_   ,							range(len(UpperCAmelCase_		)		)		)		)
       _A        =       {}
       _A        =       add_prefix_space

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

 @property
 def       lowerCAmelCase_							(			self	:	Tuple		):
       return len(self.encoder		)

 def       lowerCAmelCase_							(			self	:	Optional[int]		):
       return dict(self.encoder   ,							**self.added_tokens_encoder		)

 def       lowerCAmelCase_							(			self	:	int   ,							_UpperCAmelCase	:	Optional[int]		):
       if token in self.cache:
             return self.cache[token]
       _A        =       tuple(UpperCAmelCase_		)
       _A        =       get_pairs(UpperCAmelCase_		)

       if not pairs:
             return token

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

 def       lowerCAmelCase_							(			self	:	Tuple   ,							_UpperCAmelCase	:	Union[str, Any]		):
       _A        =       []
       for token in re.findall(self.pat   ,							UpperCAmelCase_		):
             _A        =       "".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       lowerCAmelCase_							(			self	:	List[str]   ,							_UpperCAmelCase	:	Dict		):
       return self.encoder.get(UpperCAmelCase_   ,							self.encoder.get(self.unk_token		)		)

 def       lowerCAmelCase_							(			self	:	Tuple   ,							_UpperCAmelCase	:	int		):
       return self.decoder.get(UpperCAmelCase_		)

 def       lowerCAmelCase_							(			self	:	str   ,							_UpperCAmelCase	:	List[str]		):
       _A        =       "".join(UpperCAmelCase_		)
       _A        =       bytearray([self.byte_decoder[c] for c in text]		).decode('utf-8'   ,							errors=self.errors		)
       return text

 def       lowerCAmelCase_							(			self	:	Dict   ,							_UpperCAmelCase	:	str   ,							_UpperCAmelCase	:	Optional[str] = None		):
       if not os.path.isdir(UpperCAmelCase_		):
             logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''		)
             return
       _A        =       os.path.join(
           UpperCAmelCase_   ,							(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']		)
       _A        =       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'		)

       _A        =       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 _UpperCAmelCase		: 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!'		)
                         _A        =       token_index
                   writer.write(' '.join(UpperCAmelCase_		) + '\n'		)
                   index += 1

       return vocab_file, merge_file

 def       lowerCAmelCase_							(			self	:	Any   ,							_UpperCAmelCase	:	List[int]   ,							_UpperCAmelCase	:	Optional[List[int]] = None		):
       if token_ids_a is None:
             return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
       _A        =       [self.cls_token_id]
       _A        =       [self.sep_token_id]
       return cls + token_ids_a + sep + sep + token_ids_a + sep

 def       lowerCAmelCase_							(			self	:	Tuple   ,							_UpperCAmelCase	:	List[int]   ,							_UpperCAmelCase	:	Optional[List[int]] = None   ,							_UpperCAmelCase	:	bool = False		):
       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       lowerCAmelCase_							(			self	:	Union[str, Any]   ,							_UpperCAmelCase	:	List[int]   ,							_UpperCAmelCase	:	Optional[List[int]] = None		):
       _A        =       [self.sep_token_id]
       _A        =       [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       lowerCAmelCase_							(			self	:	Optional[int]   ,							_UpperCAmelCase	:	Optional[Any]   ,							_UpperCAmelCase	:	Tuple=False   ,							**_UpperCAmelCase	:	Any		):
       _A        =       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()):
             _A        =       " " + text
       return (text, kwargs)







"""simple docstring"""

def 						_snake_case					( _snake_case							: int							)   -> list:






      '''simple docstring'''


      _A        =       int(_snake_case							)
      if n_element < 1:
            _A        =       ValueError('a should be a positive number'							)
            raise my_error

      _A        =       [1]
      _A       ,   _A       ,   _A        =       (0, 0, 0)
      _A        =       1
      while index < n_element:
            while hamming_list[i] * 2 <= hamming_list[-1]:
                  i += 1
            while hamming_list[j] * 3 <= hamming_list[-1]:
                  j += 1
            while hamming_list[k] * 5 <= hamming_list[-1]:
                  k += 1
            hamming_list.append(
                min(hamming_list[i] * 2    ,  hamming_list[j] * 3    ,  hamming_list[k] * 5							)							)
            index += 1
      return hamming_list


if __name__ == "__main__":
       a         =      input('''Enter the last number (nth term) of the Hamming Number Series: ''')
       print('''Formula of Hamming Number Series => 2^i * 3^j * 5^k''')
       a         =      hamming(int(n))
       print('''-----------------------------------------------------''')
       print(F'''The list with nth numbers is: {hamming_numbers}''')
       print('''-----------------------------------------------------''')

