



'''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


UpperCamelCase__    :     Optional[int]			  =   logging.get_logger(__name__)


UpperCamelCase__    :     Optional[Any]			  =   {"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt"""}

# See all MVP models at https://huggingface.co/models?filter=mvp
UpperCamelCase__    :     Optional[int]			  =   {
    """vocab_file""": {
        """RUCAIBox/mvp""": """https://huggingface.co/RUCAIBox/mvp/resolve/main/vocab.json""",
    },
    """added_tokens.json""": {
        """RUCAIBox/mvp""": """https://huggingface.co/RUCAIBox/mvp/resolve/main/added_tokens.json""",
    },
    """merges_file""": {
        """RUCAIBox/mvp""": """https://huggingface.co/RUCAIBox/mvp/resolve/main/merges.txt""",
    },
}

UpperCamelCase__    :     Any			  =   {
    """RUCAIBox/mvp""": 1_024,
}



@lru_cache()
def     UpperCAmelCase     (    )   ->       Any:



   """simple docstring"""






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



def     UpperCAmelCase     (    a_		)   ->       Union[str, Any]:



   """simple docstring"""






   A_  :		Dict						=					set()
   A_  :		Any						=					word[0]
   for char in word[1:]:
      pairs.add((prev_char, char)		)
      A_  :		Tuple						=					char
   return pairs







class 							_lowerCAmelCase	(  A_							):


 """simple docstring"""

 lowerCamelCase									=     VOCAB_FILES_NAMES
 lowerCamelCase									=     PRETRAINED_VOCAB_FILES_MAP
 lowerCamelCase									=     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 lowerCamelCase									=     ['input_ids', 'attention_mask']







 def __init__(      self					,    _lowerCamelCase					,    _lowerCamelCase					,    _lowerCamelCase="replace"					,    _lowerCamelCase="<s>"					,    _lowerCamelCase="</s>"					,    _lowerCamelCase="</s>"					,    _lowerCamelCase="<s>"					,    _lowerCamelCase="<unk>"					,    _lowerCamelCase="<pad>"					,    _lowerCamelCase="<mask>"					,    _lowerCamelCase=False					,    **_lowerCamelCase					,    )    ->    List[str]:
    A_  :		List[Any]						=					AddedToken(__lowercase					,    lstrip=__lowercase					,    rstrip=__lowercase  ) if isinstance(__lowercase					,    __lowercase  ) else bos_token
    A_  :		Optional[Any]						=					AddedToken(__lowercase					,    lstrip=__lowercase					,    rstrip=__lowercase  ) if isinstance(__lowercase					,    __lowercase  ) else eos_token
    A_  :		Optional[Any]						=					AddedToken(__lowercase					,    lstrip=__lowercase					,    rstrip=__lowercase  ) if isinstance(__lowercase					,    __lowercase  ) else sep_token
    A_  :		Tuple						=					AddedToken(__lowercase					,    lstrip=__lowercase					,    rstrip=__lowercase  ) if isinstance(__lowercase					,    __lowercase  ) else cls_token
    A_  :		List[str]						=					AddedToken(__lowercase					,    lstrip=__lowercase					,    rstrip=__lowercase  ) if isinstance(__lowercase					,    __lowercase  ) else unk_token
    A_  :		Union[str, Any]						=					AddedToken(__lowercase					,    lstrip=__lowercase					,    rstrip=__lowercase  ) if isinstance(__lowercase					,    __lowercase  ) else pad_token

    # Mask token behave like a normal word, i.e. include the space before it
    A_  :		List[Any]						=					AddedToken(__lowercase					,    lstrip=__lowercase					,    rstrip=__lowercase  ) if isinstance(__lowercase					,    __lowercase  ) else mask_token

    super().__init__(
        errors=__lowercase					,    bos_token=__lowercase					,    eos_token=__lowercase					,    unk_token=__lowercase					,    sep_token=__lowercase					,    cls_token=__lowercase					,    pad_token=__lowercase					,    mask_token=__lowercase					,    add_prefix_space=__lowercase					,    **__lowercase					,    )
    with open(__lowercase					,    encoding="""utf-8"""  ) as vocab_handle:
       A_  :		List[str]						=					json.load(__lowercase  )
    A_  :		str						=					{v: k for k, v in self.encoder.items()}
    A_  :		Optional[Any]						=					errors  # how to handle errors in decoding
    A_  :		Optional[Any]						=					bytes_to_unicode()
    A_  :		Any						=					{v: k for k, v in self.byte_encoder.items()}
    with open(__lowercase					,    encoding="""utf-8"""  ) as merges_handle:
       A_  :		Union[str, Any]						=					merges_handle.read().split("""\n"""  )[1:-1]
    A_  :		str						=					[tuple(merge.split()  ) for merge in bpe_merges]
    A_  :		Optional[Any]						=					dict(zip(__lowercase					,    range(len(__lowercase  )  )  )  )
    A_  :		int						=					{}
    A_  :		Any						=					add_prefix_space

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







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







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







 def       UpperCAmelCase_       (      self					,    _lowerCamelCase  )    ->    Any:







    if token in self.cache:
       return self.cache[token]
    A_  :		int						=					tuple(__lowercase  )
    A_  :		int						=					get_pairs(__lowercase  )

    if not pairs:
       return token

    while True:
       A_  :		Union[str, Any]						=					min(__lowercase					,    key=lambda _lowerCamelCase  : self.bpe_ranks.get(__lowercase					,    float("""inf"""  )  )  )
       if bigram not in self.bpe_ranks:
          break
       A_						,  A_  :		Optional[int]						=					bigram
       A_  :		int						=					[]
       A_  :		Union[str, Any]						=					0
       while i < len(__lowercase  ):
          try:
             A_  :		Optional[Any]						=					word.index(__lowercase					,    __lowercase  )
          except ValueError:
             new_word.extend(word[i:]  )
             break
          else:
             new_word.extend(word[i:j]  )
             A_  :		Tuple						=					j

          if word[i] == first and i < len(__lowercase  ) - 1 and word[i + 1] == second:
             new_word.append(first + second  )
             i += 2
          else:
             new_word.append(word[i]  )
             i += 1
       A_  :		Optional[Any]						=					tuple(__lowercase  )
       A_  :		List[str]						=					new_word
       if len(__lowercase  ) == 1:
          break
       else:
          A_  :		Dict						=					get_pairs(__lowercase  )
    A_  :		Union[str, Any]						=					""" """.join(__lowercase  )
    A_  :		Any						=					word
    return word







 def       UpperCAmelCase_       (      self					,    _lowerCamelCase  )    ->    Dict:
    A_  :		Dict						=					[]
    for token in re.findall(self.pat					,    __lowercase  ):
       A_  :		int						=					"""""".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(__lowercase  ).split(""" """  )  )
    return bpe_tokens







 def       UpperCAmelCase_       (      self					,    _lowerCamelCase  )    ->    Tuple:
    return self.encoder.get(__lowercase					,    self.encoder.get(self.unk_token  )  )







 def       UpperCAmelCase_       (      self					,    _lowerCamelCase  )    ->    List[str]:
    return self.decoder.get(__lowercase  )







 def       UpperCAmelCase_       (      self					,    _lowerCamelCase  )    ->    Optional[int]:
    A_  :		Any						=					"""""".join(__lowercase  )
    A_  :		List[str]						=					bytearray([self.byte_decoder[c] for c in text]  ).decode("""utf-8"""					,    errors=self.errors  )
    return text







 def       UpperCAmelCase_       (      self					,    _lowerCamelCase					,    _lowerCamelCase = None  )    ->    Tuple:







    if not os.path.isdir(__lowercase  ):
       logger.error(F"Vocabulary path ({save_directory}) should be a directory"  )
       return
    A_  :		List[str]						=					os.path.join(
        __lowercase					,    (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]  )
    A_  :		int						=					os.path.join(
        __lowercase					,    (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""merges_file"""]  )

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

    A_  :		Optional[Any]						=					0
    with open(__lowercase					,    """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!"""  )
             A_  :		Optional[Any]						=					token_index
          writer.write(""" """.join(__lowercase  ) + """\n"""  )
          index += 1

    return vocab_file, merge_file







 def       UpperCAmelCase_       (      self					,    _lowerCamelCase					,    _lowerCamelCase = None  )    ->    Optional[int]:







    if token_ids_a is None:
       return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
    A_  :		Tuple						=					[self.cls_token_id]
    A_  :		Union[str, Any]						=					[self.sep_token_id]
    return cls + token_ids_a + sep + sep + token_ids_a + sep







 def       UpperCAmelCase_       (      self					,    _lowerCamelCase					,    _lowerCamelCase = None					,    _lowerCamelCase = False  )    ->    Dict:







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

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







 def       UpperCAmelCase_       (      self					,    _lowerCamelCase					,    _lowerCamelCase = None  )    ->    Optional[Any]:
    A_  :		Optional[Any]						=					[self.sep_token_id]
    A_  :		Tuple						=					[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					,    _lowerCamelCase					,    _lowerCamelCase=False					,    **_lowerCamelCase  )    ->    int:
    A_  :		List[str]						=					kwargs.pop("""add_prefix_space"""					,    self.add_prefix_space  )
    if (is_split_into_words or add_prefix_space) and (len(__lowercase  ) > 0 and not text[0].isspace()):
       A_  :		List[str]						=					""" """ + text
    return (text, kwargs)







import doctest

import projectq
from projectq.ops import H, Measure




def  A_(      A ):
	UpperCAmelCase_		    =  quantum_engine.allocate_qubit()
	H | qubit
	Measure | qubit
	return int(A )


if __name__ == "__main__":
				doctest.testmod()

				# initialises a new quantum backend
				UpperCamelCase__ :			Dict       	=			projectq.MainEngine()

				# Generate a list of 10 random numbers
				UpperCamelCase__ :			Dict       	=			[get_random_number(quantum_engine) for _ in range(10)]

				# Flushes the quantum engine from memory
				quantum_engine.flush()

				print("""Random numbers""", random_numbers_list)


