code: 
  
  
  '''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]
  
  
style_context: 
  
  
  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)}""")
  
  