





"""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=lowerCamelCase__       )
class 				_lowerCamelCase					(				lowerCamelCase__       ):
						UpperCAmelCase_       =	field(default="audio-classification"     ,	metadata={"include_in_asdict_even_if_is_default": True}       )
						UpperCAmelCase_       =	Features({"audio": Audio()}       )
						UpperCAmelCase_       =	Features({"labels": ClassLabel}       )
						UpperCAmelCase_       =	"audio"
						UpperCAmelCase_       =	"labels"


						def 			snake_case_      (self      ,							__a						)       ->      int:






								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]      ,							lowercase_						):
										raise ValueError(F"Column {self.label_column} is not a ClassLabel."						)
								UpperCamelCase      =		copy.deepcopy(self						)
								UpperCamelCase      =		self.label_schema.copy()
								UpperCamelCase      =		features[self.label_column]
								UpperCamelCase      =		label_schema
								return task_template




						@property
						def 			snake_case_      (self						)       ->      Dict[str, str]:
								return {
								    self.audio_column: "audio",
								    self.label_column: "labels",
								}









import math

import numpy as np
import qiskit
from qiskit import Aer, ClassicalRegister, QuantumCircuit, QuantumRegister, execute




def 			UpperCAmelCase__				(			_A      : int = 3							):





  '''simple docstring'''







  if isinstance(_A	,      _A							):
    raise TypeError('''number of qubits must be a integer.'''							)
  if number_of_qubits <= 0:
    raise ValueError('''number of qubits must be > 0.'''							)
  if math.floor(_A							) != number_of_qubits:
    raise ValueError('''number of qubits must be exact integer.'''							)
  if number_of_qubits > 10:
    raise ValueError('''number of qubits too large to simulate(>10).'''							)

  a__  =QuantumRegister(_A	,      '''qr'''							)
  a__  =ClassicalRegister(_A	,      '''cr'''							)

  a__  =QuantumCircuit(_A	,      _A							)

  a__  =number_of_qubits

  for i in range(_A							):
    quantum_circuit.h(number_of_qubits - i - 1							)
    counter -= 1
    for j in range(_A							):
      quantum_circuit.cp(np.pi / 2 ** (counter - j)	,      _A	,      _A							)

  for k in range(number_of_qubits // 2							):
    quantum_circuit.swap(_A	,      number_of_qubits - k - 1							)

  # measure all the qubits
  quantum_circuit.measure(_A	,      _A							)
  # simulate with 10000 shots
  a__  =Aer.get_backend('''qasm_simulator'''							)
  a__  =execute(_A	,      _A	,      shots=1_00_00							)

  return job.result().get_counts(_A							)


if __name__ == "__main__":
       print(
           f"""Total count for quantum fourier transform state is: \
    {quantum_fourier_transform(3)}"""
       )
