


'''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	:      Optional[Any]				=						logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE	:      List[str]				=						{
    '''vocab_file''': '''vocab.json''',
    '''merges_file''': '''merges.txt''',
}

__SCREAMING_SNAKE_CASE	:      Union[str, Any]				=						{
    '''vocab_file''': {
        '''roberta-base''': '''https://huggingface.co/roberta-base/resolve/main/vocab.json''',
        '''roberta-large''': '''https://huggingface.co/roberta-large/resolve/main/vocab.json''',
        '''roberta-large-mnli''': '''https://huggingface.co/roberta-large-mnli/resolve/main/vocab.json''',
        '''distilroberta-base''': '''https://huggingface.co/distilroberta-base/resolve/main/vocab.json''',
        '''roberta-base-openai-detector''': '''https://huggingface.co/roberta-base-openai-detector/resolve/main/vocab.json''',
        '''roberta-large-openai-detector''': (
            '''https://huggingface.co/roberta-large-openai-detector/resolve/main/vocab.json'''
        ),
    },
    '''merges_file''': {
        '''roberta-base''': '''https://huggingface.co/roberta-base/resolve/main/merges.txt''',
        '''roberta-large''': '''https://huggingface.co/roberta-large/resolve/main/merges.txt''',
        '''roberta-large-mnli''': '''https://huggingface.co/roberta-large-mnli/resolve/main/merges.txt''',
        '''distilroberta-base''': '''https://huggingface.co/distilroberta-base/resolve/main/merges.txt''',
        '''roberta-base-openai-detector''': '''https://huggingface.co/roberta-base-openai-detector/resolve/main/merges.txt''',
        '''roberta-large-openai-detector''': (
            '''https://huggingface.co/roberta-large-openai-detector/resolve/main/merges.txt'''
        ),
    },
}

__SCREAMING_SNAKE_CASE	:      int				=						{
    '''roberta-base''': 512,
    '''roberta-large''': 512,
    '''roberta-large-mnli''': 512,
    '''distilroberta-base''': 512,
    '''roberta-base-openai-detector''': 512,
    '''roberta-large-openai-detector''': 512,
}



@lru_cache()
def     UpperCAmelCase__      (			)  ->	Union[str, Any]:
     __lowerCamelCase     :			str              =	(
         list(range(ord('!'							)   ,					ord('~'							) + 1							)							) + list(range(ord('¡'							)   ,					ord('¬'							) + 1							)							) + list(range(ord('®'							)   ,					ord('ÿ'							) + 1							)							)
     )
     __lowerCamelCase     :			str              =	bs[:]
     __lowerCamelCase     :			Any              =	0
     for b in range(2**8							):
          if b not in bs:
               bs.append(_UpperCAmelCase							)
               cs.append(2**8 + n							)
               n += 1
     __lowerCamelCase     :			List[Any]              =	[chr(_UpperCAmelCase							) for n in cs]
     return dict(zip(_UpperCAmelCase   ,					_UpperCAmelCase							)							)



def     UpperCAmelCase__      (			UpperCAmelCase_					:       Union[str, Any]							)  ->	Any:
     __lowerCamelCase     :			Union[str, Any]              =	set()
     __lowerCamelCase     :			Dict              =	word[0]
     for char in word[1:]:
          pairs.add((prev_char, char)							)
          __lowerCamelCase     :			Tuple              =	char
     return pairs





class      UpperCAmelCase_						(_UpperCAmelCase						):





    """simple docstring"""






    lowerCamelCase						:      str							  =    VOCAB_FILES_NAMES
    lowerCamelCase						:      Optional[int]							  =    PRETRAINED_VOCAB_FILES_MAP
    lowerCamelCase						:      Union[str, Any]							  =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    lowerCamelCase						:      Dict							  =    ["input_ids", "attention_mask"]







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

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







    @property
    def    lowercase_       (							self			)       ->  Tuple:
         return len(self.encoder			)







    def    lowercase_       (							self			)       ->  List[str]:
         return dict(self.encoder    ,  **self.added_tokens_encoder			)







    def    lowercase_       (							self    ,  SCREAMING_SNAKE_CASE_			)       ->  str:
         if token in self.cache:
              return self.cache[token]
         __lowerCamelCase     :			List[Any]              =	tuple(UpperCAmelCase_			)
         __lowerCamelCase     :			List[Any]              =	get_pairs(UpperCAmelCase_			)

         if not pairs:
              return token

         while True:
              __lowerCamelCase     :			Optional[int]              =	min(UpperCAmelCase_    ,  key=lambda SCREAMING_SNAKE_CASE_			: self.bpe_ranks.get(UpperCAmelCase_    ,  float('inf'			)			)			)
              if bigram not in self.bpe_ranks:
                   break
              __lowerCamelCase     :			Tuple              =	bigram
              __lowerCamelCase     :			Dict              =	[]
              __lowerCamelCase     :			Tuple              =	0
              while i < len(UpperCAmelCase_			):
                   try:
                        __lowerCamelCase     :			Optional[int]              =	word.index(UpperCAmelCase_    ,  UpperCAmelCase_			)
                   except ValueError:
                        new_word.extend(word[i:]			)
                        break
                   else:
                        new_word.extend(word[i:j]			)
                        __lowerCamelCase     :			Tuple              =	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     :			Union[str, Any]              =	tuple(UpperCAmelCase_			)
              __lowerCamelCase     :			Dict              =	new_word
              if len(UpperCAmelCase_			) == 1:
                   break
              else:
                   __lowerCamelCase     :			str              =	get_pairs(UpperCAmelCase_			)
         __lowerCamelCase     :			int              =	' '.join(UpperCAmelCase_			)
         __lowerCamelCase     :			Optional[int]              =	word
         return word







    def    lowercase_       (							self    ,  SCREAMING_SNAKE_CASE_			)       ->  Optional[Any]:
         __lowerCamelCase     :			Tuple              =	[]
         for token in re.findall(self.pat    ,  UpperCAmelCase_			):
              __lowerCamelCase     :			List[Any]              =	''.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    lowercase_       (							self    ,  SCREAMING_SNAKE_CASE_			)       ->  Optional[Any]:
         return self.encoder.get(UpperCAmelCase_    ,  self.encoder.get(self.unk_token			)			)







    def    lowercase_       (							self    ,  SCREAMING_SNAKE_CASE_			)       ->  Optional[int]:
         return self.decoder.get(UpperCAmelCase_			)







    def    lowercase_       (							self    ,  SCREAMING_SNAKE_CASE_			)       ->  Optional[int]:
         __lowerCamelCase     :			Union[str, Any]              =	''.join(UpperCAmelCase_			)
         __lowerCamelCase     :			Tuple              =	bytearray([self.byte_decoder[c] for c in text]			).decode('utf-8'    ,  errors=self.errors			)
         return text







    def    lowercase_       (							self    ,  SCREAMING_SNAKE_CASE_    ,  SCREAMING_SNAKE_CASE_ = None			)       ->  Dict:
         if not os.path.isdir(UpperCAmelCase_			):
              logger.error(f'Vocabulary path ({save_directory}) should be a directory'			)
              return
         __lowerCamelCase     :			Any              =	os.path.join(
             UpperCAmelCase_    ,  (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']			)
         __lowerCamelCase     :			Any              =	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     :			List[str]              =	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 SCREAMING_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!'			)
                        __lowerCamelCase     :			List[str]              =	token_index
                   writer.write(' '.join(UpperCAmelCase_			) + '\n'			)
                   index += 1

         return vocab_file, merge_file







    def    lowercase_       (							self    ,  SCREAMING_SNAKE_CASE_    ,  SCREAMING_SNAKE_CASE_ = None			)       ->  Optional[Any]:
         if token_ids_a is None:
              return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
         __lowerCamelCase     :			str              =	[self.cls_token_id]
         __lowerCamelCase     :			Dict              =	[self.sep_token_id]
         return cls + token_ids_a + sep + sep + token_ids_a + sep







    def    lowercase_       (							self    ,  SCREAMING_SNAKE_CASE_    ,  SCREAMING_SNAKE_CASE_ = None    ,  SCREAMING_SNAKE_CASE_ = False			)       ->  Any:
         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    lowercase_       (							self    ,  SCREAMING_SNAKE_CASE_    ,  SCREAMING_SNAKE_CASE_ = None			)       ->  Union[str, Any]:
         __lowerCamelCase     :			Any              =	[self.sep_token_id]
         __lowerCamelCase     :			List[str]              =	[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    lowercase_       (							self    ,  SCREAMING_SNAKE_CASE_    ,  SCREAMING_SNAKE_CASE_=False    ,  **SCREAMING_SNAKE_CASE_			)       ->  Optional[Any]:
         __lowerCamelCase     :			Dict              =	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     :			Optional[int]              =	' ' + text
         return (text, kwargs)










'''simple docstring'''



A__	:      List[Any]				=						[0.3_3, 0.4_4, 0.5_5, 0.4_4, 0.3_3]
A__	:      Dict				=						3
A__	:      Union[str, Any]				=						5

# Buffer Space (with Parameters Space)
A__	:      list[float]				=						[]
A__	:      list[float]				=						[]

# Machine Time
A__	:      Dict				=						0



def     UpperCAmelCase__      (			UpperCAmelCase_					:       List[str]							)  ->	str:
     global buffer_space, params_space, machine_time, K, m, t

     # Choosing Dynamical Systems (All)
     for key, value in enumerate(UpperCAmelCase_							):
          # Evolution Parameter
          __lowerCamelCase     :			List[str]              =	float(seed / value							)

          # Control Theory: Orbit Change
          __lowerCamelCase     :			Optional[int]              =	(buffer_space[(key + 1) % m] + e) % 1

          # Control Theory: Trajectory Change
          __lowerCamelCase     :			str              =	(params_space[key] + e) % 1 + 3

          # Modification (Transition Function) - Jumps
          __lowerCamelCase     :			List[Any]              =	round(float(r * value * (1 - value)							)   ,					10							)
          __lowerCamelCase     :			Tuple              =	r  # Saving to Parameters Space

     # Logistic Map
     assert max(UpperCAmelCase_							) < 1
     assert max(UpperCAmelCase_							) < 4

     # Machine Time
     machine_time += 1



def     UpperCAmelCase__      (			)  ->	Optional[int]:
     global buffer_space, params_space, machine_time, K, m, t

     # PRNG (Xorshift by George Marsaglia)
     def xorshift(UpperCAmelCase_					:       Any   ,					UpperCAmelCase_					:       Tuple							):
          x ^= y >> 13
          y ^= x << 17
          x ^= y >> 5
          return x

     # Choosing Dynamical Systems (Increment)
     __lowerCamelCase     :			List[Any]              =	machine_time % m

     # Evolution (Time Length)
     for _ in range(0   ,					UpperCAmelCase_							):
          # Variables (Position + Parameters)
          __lowerCamelCase     :			Union[str, Any]              =	params_space[key]
          __lowerCamelCase     :			Optional[Any]              =	buffer_space[key]

          # Modification (Transition Function) - Flow
          __lowerCamelCase     :			str              =	round(float(r * value * (1 - value)							)   ,					10							)
          __lowerCamelCase     :			Dict              =	(machine_time * 0.01 + r * 1.01) % 1 + 3

     # Choosing Chaotic Data
     __lowerCamelCase     :			List[Any]              =	int(buffer_space[(key + 2) % m] * (10**10)							)
     __lowerCamelCase     :			List[str]              =	int(buffer_space[(key - 2) % m] * (10**10)							)

     # Machine Time
     machine_time += 1

     return xorshift(UpperCAmelCase_   ,					UpperCAmelCase_							) % 0xff_ff_ff_ff



def     UpperCAmelCase__      (			)  ->	Any:
     global buffer_space, params_space, machine_time, K, m, t

     __lowerCamelCase     :			Union[str, Any]              =	K
     __lowerCamelCase     :			Optional[int]              =	[0] * m
     __lowerCamelCase     :			Tuple              =	0


if __name__ == "__main__":
      # Initialization
      reset()

      # Pushing Data (Input)
      import random

      A__	:      Optional[Any]				=						random.sample(range(0XFFFFFFFF), 100)
      for chunk in message:
            push(chunk)

      # for controlling
      A__	:      Tuple				=						""""""

      # Pulling Data (Output)
      while inp in ("e", "E"):
            print(f'''{format(pull(), '#04x')}''')
            print(buffer_space)
            print(params_space)
            A__	:      Optional[Any]				=						input("""(e)exit? """).strip()






