




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

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


@dataclass(frozen=__UpperCAmelCase  )
class 							__UpperCamelCase			( __UpperCAmelCase  ):





				'''simple docstring'''



				__a							: str										=field(default="""text-classification"""     ,					metadata={"""include_in_asdict_even_if_is_default""": True}  )
				__a							: ClassVar[Features]										=Features({"""text""": Value("""string"""  )}  )
				__a							: ClassVar[Features]										=Features({"""labels""": ClassLabel}  )
				__a							: str										="text"
				__a							: str										="labels"



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






				@property
				def       __snake_case		( self						):
											return {
											    self.text_column: "text",
											    self.label_column: "labels",
											}









import math

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



def       UpperCAmelCase       (     _snake_case = 3							):
							if isinstance(_snake_case						, _snake_case							):
														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(_snake_case							) != 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).'''							)

							lowerCAmelCase   =		QuantumRegister(_snake_case						, '''qr'''							)
							lowerCAmelCase   =		ClassicalRegister(_snake_case						, '''cr'''							)

							lowerCAmelCase   =		QuantumCircuit(_snake_case						, _snake_case							)

							lowerCAmelCase   =		number_of_qubits

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

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

							# measure all the qubits
							quantum_circuit.measure(_snake_case						, _snake_case							)
							# simulate with 10000 shots
							lowerCAmelCase   =		Aer.get_backend('''qasm_simulator'''							)
							lowerCAmelCase   =		execute(_snake_case						, _snake_case						, shots=10000							)

							return job.result().get_counts(_snake_case							)


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



