


import qiskit
from qiskit.providers import Backend




def SCREAMING_SNAKE_CASE_  (				__lowerCamelCase:		int  ,			__lowerCamelCase:		int  ):







	'''simple docstring'''



	lowercase_ ,	lowercase_			 = bin(__lowerCamelCase  )[2:], bin(__lowerCamelCase  )[2:]  # Remove leading '0b'

	# Ensure that both strings are of the same length
	if len(__lowerCamelCase  ) > len(__lowerCamelCase  ):
		lowercase_			 = y.zfill(len(__lowerCamelCase  )  )
	else:
		lowercase_			 = x.zfill(len(__lowerCamelCase  )  )

	# 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
	lowercase_			 = qiskit.QuantumCircuit((len(__lowerCamelCase  ) * 3) + 1  ,			len(__lowerCamelCase  ) + 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(__lowerCamelCase  )  ):
		if x[::-1][i] == "1":
			circuit.x(__lowerCamelCase  )
	for j in range(len(__lowerCamelCase  )  ):
		if y[::-1][j] == "1":
			circuit.x(len(__lowerCamelCase  ) + j  )

	return circuit, x, y




def SCREAMING_SNAKE_CASE_  (				__lowerCamelCase:		qiskit.QuantumCircuit  ,			__lowerCamelCase:		int  ,			__lowerCamelCase:		int  ,			__lowerCamelCase:		int  ,			__lowerCamelCase:		int  ,			):







	'''simple docstring'''



	circuit.ccx(__lowerCamelCase  ,			__lowerCamelCase  ,			__lowerCamelCase  )
	circuit.cx(__lowerCamelCase  ,			__lowerCamelCase  )
	circuit.ccx(__lowerCamelCase  ,			__lowerCamelCase  ,			__lowerCamelCase  )
	circuit.cx(__lowerCamelCase  ,			__lowerCamelCase  )
	circuit.cx(__lowerCamelCase  ,			__lowerCamelCase  )




def SCREAMING_SNAKE_CASE_  (				__lowerCamelCase:		int  ,			__lowerCamelCase:		int  ,			__lowerCamelCase:		Backend = qiskit.Aer.get_backend("aer_simulator"  )  ,			):







	'''simple docstring'''



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

	# Store the Integers
	lowercase_ ,	lowercase_ ,	lowercase_			 = store_two_classics(__lowerCamelCase  ,			__lowerCamelCase  )
	for i in range(len(__lowerCamelCase  )  ):
		full_adder(__lowerCamelCase  ,			__lowerCamelCase  ,			len(__lowerCamelCase  ) + i  ,			len(__lowerCamelCase  ) + len(__lowerCamelCase  ) + i  ,			len(__lowerCamelCase  ) + len(__lowerCamelCase  ) + i + 1  )
		circuit.barrier()  # Optional, just for aesthetics

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

	lowercase_			 = qiskit.execute(__lowerCamelCase  ,			__lowerCamelCase  ,			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()





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:
							SCREAMING_SNAKE_CASE__       			=				None


SCREAMING_SNAKE_CASE__       			=				logging.get_logger(__name__)

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

SCREAMING_SNAKE_CASE__       			=				{
    """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""",
    },
}

SCREAMING_SNAKE_CASE__       			=				{
    """facebook/xglm-564M""": 2_0_4_8,
}







class     __lowerCamelCase     (  snake_case_     ):


							"""simple docstring"""

							lowerCAmelCase__          =				VOCAB_FILES_NAMES
							lowerCAmelCase__          =				PRETRAINED_VOCAB_FILES_MAP
							lowerCAmelCase__          =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							lowerCAmelCase__          =				["input_ids", "attention_mask"]
							lowerCAmelCase__          =				XGLMTokenizer




							def __init__(  self						,       UpperCAmelCase=None						,       UpperCAmelCase=None						,       UpperCAmelCase="<s>"						,       UpperCAmelCase="</s>"						,       UpperCAmelCase="</s>"						,       UpperCAmelCase="<s>"						,       UpperCAmelCase="<unk>"						,       UpperCAmelCase="<pad>"						,       **UpperCAmelCase						,       )     ->       Tuple:






								'''simple docstring'''






								lowercase_			 = 7
								lowercase_			 = [F'<madeupword{i}>' for i in range(self.num_madeup_words  )]

								lowercase_			 = 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__(
								    UpperCAmelCase						,       tokenizer_file=UpperCAmelCase						,       bos_token=UpperCAmelCase						,       eos_token=UpperCAmelCase						,       sep_token=UpperCAmelCase						,       cls_token=UpperCAmelCase						,       unk_token=UpperCAmelCase						,       pad_token=UpperCAmelCase						,       **UpperCAmelCase						,       )

								lowercase_			 = vocab_file
								lowercase_			 = False if not self.vocab_file else True




							def 				A__      (  self						,       UpperCAmelCase						,       UpperCAmelCase = None  )     ->       List[int]:






								'''simple docstring'''






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




							def 				A__      (  self						,       UpperCAmelCase						,       UpperCAmelCase = None  )     ->       List[int]:






								'''simple docstring'''






								lowercase_			 = [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 				A__      (  self						,       UpperCAmelCase						,       UpperCAmelCase = None  )     ->       Tuple[str]:






								'''simple docstring'''






								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(UpperCAmelCase  ):
									logger.error(F'Vocabulary path ({save_directory}) should be a directory.'  )
									return
								lowercase_			 = os.path.join(
								    UpperCAmelCase						,       (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]  )

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

								return (out_vocab_file,)

