





"""simple docstring"""




import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Audio, ClassLabel, Features
from .base import TaskTemplate

@dataclass(frozen=UpperCAmelCase__		)
class  _UpperCAmelCase  (   UpperCAmelCase__		):



      '''simple docstring'''
      lowercase_      : str	    =   field(default="""audio-classification"""			,   metadata={"""include_in_asdict_even_if_is_default""": True}		)
      lowercase_      : ClassVar[Features]	    =   Features({"""audio""": Audio()}		)
      lowercase_      : ClassVar[Features]	    =   Features({"""labels""": ClassLabel}		)
      lowercase_      : str	    =   "audio"
      lowercase_      : str	    =   "labels"

      def 					lowerCamelCase_			(     self					,      snake_case_  ):

        """simple docstring"""

        if self.label_column not in features:
          raise ValueError(F"""Column {self.label_column} is not present in features."""  )
        if not isinstance(features[self.label_column]					,      snake_case_  ):
          raise ValueError(F"""Column {self.label_column} is not a ClassLabel."""  )
        A_  :       Optional[Any]										=  copy.deepcopy(self  )
        A_  :       Optional[Any]										=  self.label_schema.copy()
        A_  :       Optional[Any]										=  features[self.label_column]
        A_  :       str										=  label_schema
        return task_template

      @property
      def 					lowerCamelCase_			(     self  ):

        """simple docstring"""

        return {
            self.audio_column: "audio",
            self.label_column: "labels",
        }






"""simple docstring"""




import qiskit





def 						UpperCAmelCase__		(     _UpperCAmelCase ,					_UpperCAmelCase					):






  """simple docstring"""





  A_  :       Tuple										=  qiskit.Aer.get_backend('aer_simulator'					)

  A_  :       str										=  qiskit.QuantumCircuit(4 ,					2					)
  # encode inputs in qubits 0 and 1
  if bita == 1:
    qc_ha.x(0					)
  if bita == 1:
    qc_ha.x(1					)
  qc_ha.barrier()

  # use cnots to write XOR of the inputs on qubit2
  qc_ha.cx(0 ,					2					)
  qc_ha.cx(1 ,					2					)

  # use ccx / toffoli gate to write AND of the inputs on qubit3
  qc_ha.ccx(0 ,					1 ,					3					)
  qc_ha.barrier()

  # extract outputs
  qc_ha.measure(2 ,					0					)  # extract XOR value
  qc_ha.measure(3 ,					1					)  # extract AND value

  # Execute the circuit on the qasm simulator
  A_  :       Optional[Any]										=  qiskit.execute(_UpperCAmelCase ,					_UpperCAmelCase ,					shots=1000					)

  # Return the histogram data of the results of the experiment
  return job.result().get_counts(_UpperCAmelCase					)


if __name__ == "__main__":
   lowerCamelCase_     :						List[str]						=					half_adder(1, 1)
   print(F"Half Adder Output Qubit Counts: {counts}")