code: 
  
  
  import math
  
  import qiskit
  from qiskit import Aer, ClassicalRegister, QuantumCircuit, QuantumRegister, execute
  
  
  
  
  
  
  
  def  _lowerCamelCase(			lowercase__ = 1     ,				lowercase__ = 1			)		->			qiskit.result.counts.Counts:
  
  						'''simple docstring'''
  
  
  
  
  
  
  
  						if isinstance(lowercase__     ,				lowercase__			) or isinstance(lowercase__     ,				lowercase__			):
  												raise TypeError('inputs must be integers.'			)
  						if (bit_a < 0) or (bit_a < 0):
  												raise ValueError('inputs must be positive.'			)
  						if (math.floor(lowercase__			) != bit_a) or (math.floor(lowercase__			) != 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
  						__lowercase=    QuantumRegister(2     ,				'qr'			)
  						__lowercase=    ClassicalRegister(2     ,				'cr'			)
  
  						__lowercase=    QuantumCircuit(lowercase__     ,				lowercase__			)
  
  						# entanglement the qubits
  						quantum_circuit.h(1			)
  						quantum_circuit.cx(1     ,				0			)
  
  						# send the information
  						__lowercase=    str(lowercase__			) + str(lowercase__			)
  
  						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(lowercase__     ,				lowercase__			)
  
  						__lowercase=    Aer.get_backend('aer_simulator'			)
  						__lowercase=    execute(lowercase__     ,				lowercase__     ,				shots=1_0_0_0			)
  
  						return job.result().get_counts(lowercase__			)
  
  
  if __name__ == "__main__":
  	print(F'Counts for classical state send: {superdense_coding(1,1)}')
  
  
  
  
  
  
  
style_context: 
  
  
  from dataclasses import dataclass
  from typing import List, Optional, Union
  
  import numpy as np
  import PIL
  from PIL import Image
  
  from ...utils import BaseOutput, is_torch_available, is_transformers_available
  
  
  
  
  
  @dataclass
  # Copied from diffusers.pipelines.stable_diffusion.__init__.StableDiffusionPipelineOutput with Stable->Alt
  class    A					(     A_				):
  							UpperCamelCase_     :							Union[List[PIL.Image.Image], np.ndarray]
  							UpperCamelCase_     :							Optional[List[bool]]
  
  
  if is_transformers_available() and is_torch_available():
  	from .modeling_roberta_series import RobertaSeriesModelWithTransformation
  	from .pipeline_alt_diffusion import AltDiffusionPipeline
  	from .pipeline_alt_diffusion_imgaimg import AltDiffusionImgaImgPipeline
  
  
  
  
  
  
  