import math

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







def       A__   (						snake_case_			:		int = 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).'''   )

 SCREAMING_SNAKE_CASE__: Union[str, Any]=   QuantumRegister(snake_case_							,					'''qr'''   )
 SCREAMING_SNAKE_CASE__: Union[str, Any]=   ClassicalRegister(snake_case_							,					'''cr'''   )

 SCREAMING_SNAKE_CASE__: str=   QuantumCircuit(snake_case_							,					snake_case_   )

 SCREAMING_SNAKE_CASE__: Dict=   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
 SCREAMING_SNAKE_CASE__: List[Any]=   Aer.get_backend('''qasm_simulator'''   )
 SCREAMING_SNAKE_CASE__: int=   execute(snake_case_							,					snake_case_							,					shots=10_000   )

 return job.result().get_counts(snake_case_   )


if __name__ == "__main__":
      print(
          f'''Total count for quantum fourier transform state is: \
    {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=lowerCAmelCase__						)
class     _UpperCamelCase    (  lowerCAmelCase__						):
							'''simple docstring'''







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

							def      snake_case							(	self       ,  __a      ):
										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]       ,  __a      ):
													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.image_column: "image",
										    self.label_column: "labels",
										}




