





"""simple docstring"""



import math

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






def 	__snake_case  (    SCREAMING_SNAKE_CASE:					Optional[Any] = 3						):






							"""simple docstring"""



							if isinstance(__SCREAMING_SNAKE_CASE     ,  __SCREAMING_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(__SCREAMING_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(__SCREAMING_SNAKE_CASE     ,  'qr'						)
							_lowerCAmelCase  	=			ClassicalRegister(__SCREAMING_SNAKE_CASE     ,  'cr'						)

							_lowerCAmelCase  	=			QuantumCircuit(__SCREAMING_SNAKE_CASE     ,  __SCREAMING_SNAKE_CASE						)

							_lowerCAmelCase  	=			number_of_qubits

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

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

							# measure all the qubits
							quantum_circuit.measure(__SCREAMING_SNAKE_CASE     ,  __SCREAMING_SNAKE_CASE						)
							# simulate with 10000 shots
							_lowerCAmelCase  	=			Aer.get_backend('qasm_simulator'						)
							_lowerCAmelCase  	=			execute(__SCREAMING_SNAKE_CASE     ,  __SCREAMING_SNAKE_CASE     ,  shots=1_0000						)

							return job.result().get_counts(__SCREAMING_SNAKE_CASE						)


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








"""simple docstring"""



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

from ..features import ClassLabel, Features, Image
from .base import TaskTemplate
@dataclass(frozen=UpperCAmelCase							)
class        _SCREAMING_SNAKE_CASE  (  UpperCAmelCase							):






				'''simple docstring'''



				SCREAMING_SNAKE_CASE_:							str							=					field(default="image-classification"      ,				metadata={"include_in_asdict_even_if_is_default": True}							)
				SCREAMING_SNAKE_CASE_:							ClassVar[Features]							=					Features({"image": Image()}							)
				SCREAMING_SNAKE_CASE_:							ClassVar[Features]							=					Features({"labels": ClassLabel}							)
				SCREAMING_SNAKE_CASE_:							str							=					"image"
				SCREAMING_SNAKE_CASE_:							str							=					"labels"


				def 				__lowerCamelCase	(					self	:			str				,     UpperCAmelCase_	:			Optional[Any]  )		->  Dict:







											"""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]				,     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 				__lowerCamelCase	(					self	:			Union[str, Any]  )		->  Dict[str, str]:







											"""simple docstring"""




											return {
											    self.image_column: "image",
											    self.label_column: "labels",
											}






