


'''simple docstring'''





import os
import unittest

from transformers import MPNetTokenizerFast
from transformers.models.mpnet.tokenization_mpnet import VOCAB_FILES_NAMES, MPNetTokenizer
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin







@require_tokenizers
class 					__lowercase					(       _a ,       unittest.TestCase     ):



		"""simple docstring"""

		UpperCamelCase    :				List[Any] 					=		MPNetTokenizer
		UpperCamelCase    :				int 					=		MPNetTokenizerFast
		UpperCamelCase    :				str 					=		True
		UpperCamelCase    :				List[str] 					=		True







		def 				__A      (   self  )     ->   List[str]:







					'''simple docstring'''







					super().setUp()

					lowerCamelCase								=     [
					    """[UNK]""",
					    """[CLS]""",
					    """[SEP]""",
					    """[PAD]""",
					    """[MASK]""",
					    """want""",
					    """##want""",
					    """##ed""",
					    """wa""",
					    """un""",
					    """runn""",
					    """##ing""",
					    """,""",
					    """low""",
					    """lowest""",
					]
					lowerCamelCase								=     os.path.join(self.tmpdirname		,			VOCAB_FILES_NAMES["""vocab_file"""]  )
					with open(self.vocab_file		,			"""w"""		,			encoding="""utf-8"""  ) as vocab_writer:
								vocab_writer.write("""""".join([x + """\n""" for x in vocab_tokens]  )  )







		def 				__A      (   self		,			A  )     ->   Dict:







					'''simple docstring'''







					lowerCamelCase								=     """UNwant\u00E9d,running"""
					lowerCamelCase								=     """unwanted, running"""
					return input_text, output_text







		def 				__A      (   self  )     ->   List[str]:







					'''simple docstring'''







					lowerCamelCase								=     self.tokenizer_class(self.vocab_file  )

					lowerCamelCase								=     tokenizer.tokenize("""UNwant\u00E9d,running"""  )
					self.assertListEqual(A		,			["""un""", """##want""", """##ed""", """,""", """runn""", """##ing"""]  )
					self.assertListEqual(tokenizer.convert_tokens_to_ids(A  )		,			[9, 6, 7, 12, 10, 11]  )







		@slow
		def 				__A      (   self  )     ->   Optional[int]:







					'''simple docstring'''







					lowerCamelCase								=     self.tokenizer_class.from_pretrained("""microsoft/mpnet-base"""  )

					lowerCamelCase								=     tokenizer.encode("""sequence builders"""		,			add_special_tokens=A  )
					lowerCamelCase								=     tokenizer.encode("""multi-sequence build"""		,			add_special_tokens=A  )

					lowerCamelCase								=     tokenizer.build_inputs_with_special_tokens(A  )
					lowerCamelCase								=     tokenizer.build_inputs_with_special_tokens(A		,			A  )

					assert encoded_sentence == [0] + text + [2]
					assert encoded_pair == [0] + text + [2] + [2] + text_a + [2]





import math

import qiskit
from qiskit import Aer, ClassicalRegister, QuantumCircuit, QuantumRegister, execute






def   __lowerCamelCase	(       lowerCamelCase__		:	int = 1     ,       lowerCamelCase__		:	int = 1			):





			'''simple docstring'''




			if isinstance(lowerCamelCase__     ,       lowerCamelCase__			) or isinstance(lowerCamelCase__     ,       lowerCamelCase__			):
						raise TypeError("""inputs must be integers."""			)
			if (bit_a < 0) or (bit_a < 0):
						raise ValueError("""inputs must be positive."""			)
			if (math.floor(lowerCamelCase__			) != bit_a) or (math.floor(lowerCamelCase__			) != bit_a):
						raise ValueError("""inputs must be exact integers."""			)
			if (bit_a > 1) or (bit_a > 1):
						raise ValueError("""inputs must be less or equal to 1."""			)

			# build registers
			lowerCamelCase								=     QuantumRegister(2     ,       """qr"""			)
			lowerCamelCase								=     ClassicalRegister(2     ,       """cr"""			)

			lowerCamelCase								=     QuantumCircuit(lowerCamelCase__     ,       lowerCamelCase__			)

			# entanglement the qubits
			quantum_circuit.h(1			)
			quantum_circuit.cx(1     ,       0			)

			# send the information
			lowerCamelCase								=     str(lowerCamelCase__			) + str(lowerCamelCase__			)

			if c_information == "11":
						quantum_circuit.x(1			)
						quantum_circuit.z(1			)
			elif c_information == "10":
						quantum_circuit.z(1			)
			elif c_information == "01":
						quantum_circuit.x(1			)
			else:
						quantum_circuit.i(1			)

			# unentangled the circuit
			quantum_circuit.cx(1     ,       0			)
			quantum_circuit.h(1			)

			# measure the circuit
			quantum_circuit.measure(lowerCamelCase__     ,       lowerCamelCase__			)

			lowerCamelCase								=     Aer.get_backend("""aer_simulator"""			)
			lowerCamelCase								=     execute(lowerCamelCase__     ,       lowerCamelCase__     ,       shots=1000			)

			return job.result().get_counts(lowerCamelCase__			)


if __name__ == "__main__":
		print(f"""Counts for classical state send: {superdense_coding(1,1)}""")

