



"""simple docstring"""




import qiskit
from qiskit.providers import Backend

def 		__snake_case		(   SCREAMING_SNAKE_CASE__			:		int		,						SCREAMING_SNAKE_CASE__			:		int       )						->     tuple[qiskit.QuantumCircuit, str, str]:





     '''simple docstring'''

     _UpperCAmelCase       , _UpperCAmelCase    :			Optional[Any]              =					bin(SCREAMING_SNAKE_CASE__       )[2:], bin(SCREAMING_SNAKE_CASE__       )[2:]  # Remove leading '0b'

     # Ensure that both strings are of the same length
     if len(SCREAMING_SNAKE_CASE__       ) > len(SCREAMING_SNAKE_CASE__       ):
          _UpperCAmelCase    :			List[Any]              =					y.zfill(len(SCREAMING_SNAKE_CASE__       )       )
     else:
          _UpperCAmelCase    :			List[Any]              =					x.zfill(len(SCREAMING_SNAKE_CASE__       )       )

     # We need (3 * number of bits in the larger number)+1 qBits
     # The second parameter is the number of classical registers, to measure the result
     _UpperCAmelCase    :			Optional[int]              =					qiskit.QuantumCircuit((len(SCREAMING_SNAKE_CASE__       ) * 3) + 1		,						len(SCREAMING_SNAKE_CASE__       ) + 1       )

     # We are essentially "not-ing" the bits that are 1
     # Reversed because it's easier to perform ops on more significant bits
     for i in range(len(SCREAMING_SNAKE_CASE__       )       ):
          if x[::-1][i] == "1":
               circuit.x(SCREAMING_SNAKE_CASE__       )
     for j in range(len(SCREAMING_SNAKE_CASE__       )       ):
          if y[::-1][j] == "1":
               circuit.x(len(SCREAMING_SNAKE_CASE__       ) + j       )

     return circuit, x, y

def 		__snake_case		(   SCREAMING_SNAKE_CASE__			:		qiskit.QuantumCircuit		,						SCREAMING_SNAKE_CASE__			:		int		,						SCREAMING_SNAKE_CASE__			:		int		,						SCREAMING_SNAKE_CASE__			:		int		,						SCREAMING_SNAKE_CASE__			:		int		,						)						->     Optional[Any]:





     '''simple docstring'''

     circuit.ccx(SCREAMING_SNAKE_CASE__		,						SCREAMING_SNAKE_CASE__		,						SCREAMING_SNAKE_CASE__       )
     circuit.cx(SCREAMING_SNAKE_CASE__		,						SCREAMING_SNAKE_CASE__       )
     circuit.ccx(SCREAMING_SNAKE_CASE__		,						SCREAMING_SNAKE_CASE__		,						SCREAMING_SNAKE_CASE__       )
     circuit.cx(SCREAMING_SNAKE_CASE__		,						SCREAMING_SNAKE_CASE__       )
     circuit.cx(SCREAMING_SNAKE_CASE__		,						SCREAMING_SNAKE_CASE__       )

def 		__snake_case		(   SCREAMING_SNAKE_CASE__			:		int		,						SCREAMING_SNAKE_CASE__			:		int		,						SCREAMING_SNAKE_CASE__			:		Backend = qiskit.Aer.get_backend("aer_simulator"       )		,						)						->     int:





     '''simple docstring'''

     if vala < 0 or vala < 0:
          raise ValueError("Both Integers must be positive!"       )

     # Store the Integers
     _UpperCAmelCase       , _UpperCAmelCase       , _UpperCAmelCase    :			List[Any]              =					store_two_classics(SCREAMING_SNAKE_CASE__		,						SCREAMING_SNAKE_CASE__       )
     for i in range(len(SCREAMING_SNAKE_CASE__       )       ):
          full_adder(SCREAMING_SNAKE_CASE__		,						SCREAMING_SNAKE_CASE__		,						len(SCREAMING_SNAKE_CASE__       ) + i		,						len(SCREAMING_SNAKE_CASE__       ) + len(SCREAMING_SNAKE_CASE__       ) + i		,						len(SCREAMING_SNAKE_CASE__       ) + len(SCREAMING_SNAKE_CASE__       ) + i + 1       )
          circuit.barrier()  # Optional, just for aesthetics

     # Measure the resultant qBits
     for i in range(len(SCREAMING_SNAKE_CASE__       ) + 1       ):
          circuit.measure([(len(SCREAMING_SNAKE_CASE__       ) * 2) + i]		,						[i]       )

     _UpperCAmelCase    :			Any              =					qiskit.execute(SCREAMING_SNAKE_CASE__		,						SCREAMING_SNAKE_CASE__		,						shots=1       ).result()

     # The result is in binary. Convert it back to int
     return int(list(res.get_counts()       )[0]		,						2       )


if __name__ == "__main__":
 import doctest

 doctest.testmod()





"""simple docstring"""




import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
 from .tokenization_xglm import XGLMTokenizer
else:
 _lowerCAmelCase       :      Tuple							=							None


_lowerCAmelCase       :      List[str]							=							logging.get_logger(__name__)

_lowerCAmelCase       :      str							=							{"vocab_file": "sentencepiece.bpe.model", "tokenizer_file": "tokenizer.json"}

_lowerCAmelCase       :      Optional[Any]							=							{
    "vocab_file": {
        "facebook/xglm-564M": "https://huggingface.co/facebook/xglm-564M/resolve/main/sentencepiece.bpe.model",
    },
    "tokenizer_file": {
        "facebook/xglm-564M": "https://huggingface.co/facebook/xglm-564M/resolve/main/tokenizer.json",
    },
}

_lowerCAmelCase       :      Union[str, Any]							=							{
    "facebook/xglm-564M": 20_48,
}






class 			UpperCAmelCase_						(       _UpperCamelCase		):
      __SCREAMING_SNAKE_CASE		:     str				  =				VOCAB_FILES_NAMES
      __SCREAMING_SNAKE_CASE		:     List[str]				  =				PRETRAINED_VOCAB_FILES_MAP
      __SCREAMING_SNAKE_CASE		:     str				  =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      __SCREAMING_SNAKE_CASE		:     int				  =				['input_ids', 'attention_mask']
      __SCREAMING_SNAKE_CASE		:     str				  =				XGLMTokenizer



      def __init__(  self  :			List[Any]  ,			A  :			Union[str, Any]=None  ,			A  :			Optional[Any]=None  ,			A  :			Optional[Any]="<s>"  ,			A  :			Optional[int]="</s>"  ,			A  :			str="</s>"  ,			A  :			int="<s>"  ,			A  :			int="<unk>"  ,			A  :			List[str]="<pad>"  ,			**A  :			Tuple  ,			):
           # Compatibility with the original tokenizer
           _UpperCAmelCase    :			Union[str, Any]              =					7
           _UpperCAmelCase    :			Optional[int]              =					[f'<madeupword{i}>' for i in range(self.num_madeup_words		)]

           _UpperCAmelCase    :			Any              =					kwargs.get("additional_special_tokens"  ,			[]		)
           kwargs["additional_special_tokens"] += [
               word for word in madeup_words if word not in kwargs["additional_special_tokens"]
           ]

           super().__init__(
               A  ,			tokenizer_file=A  ,			bos_token=A  ,			eos_token=A  ,			sep_token=A  ,			cls_token=A  ,			unk_token=A  ,			pad_token=A  ,			**A  ,			)

           _UpperCAmelCase    :			Any              =					vocab_file
           _UpperCAmelCase    :			Union[str, Any]              =					False if not self.vocab_file else True



      def 		snake_case_      (  self  :			List[str]  ,			A  :			List[int]  ,			A  :			Optional[List[int]] = None		):

           if token_ids_a is None:
                return [self.sep_token_id] + token_ids_a
           _UpperCAmelCase    :			Tuple              =					[self.sep_token_id]
           return sep + token_ids_a + sep + sep + token_ids_a



      def 		snake_case_      (  self  :			str  ,			A  :			List[int]  ,			A  :			Optional[List[int]] = None		):
           _UpperCAmelCase    :			Optional[int]              =					[self.sep_token_id]

           if token_ids_a is None:
                return len(sep + token_ids_a		) * [0]
           return len(sep + token_ids_a + sep + sep + token_ids_a		) * [0]



      def 		snake_case_      (  self  :			Dict  ,			A  :			str  ,			A  :			Optional[str] = None		):
           if not self.can_save_slow_tokenizer:
                raise ValueError(
                    "Your fast tokenizer does not have the necessary information to save the vocabulary for a slow "
                    "tokenizer."		)

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

           if os.path.abspath(self.vocab_file		) != os.path.abspath(A		):
                copyfile(self.vocab_file  ,			A		)

           return (out_vocab_file,)
