





import math

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

def 							SCREAMING_SNAKE_CASE__       (  snake_case__  :Any = 3     )      ->						Optional[Any]:
  if isinstance(_lowerCamelCase			,							_lowerCamelCase     ):
    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(_lowerCamelCase     ) != 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).'     )

  _lowercase							= QuantumRegister(_lowerCamelCase			,							'qr'     )
  _lowercase							= ClassicalRegister(_lowerCamelCase			,							'cr'     )

  _lowercase							= QuantumCircuit(_lowerCamelCase			,							_lowerCamelCase     )

  _lowercase							= number_of_qubits

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

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

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

  return job.result().get_counts(_lowerCamelCase     )


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






import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_torch


if is_torch_available():
      import torch

      from transformers.generation import DisjunctiveConstraint





@require_torch
class 				A_				(      unittest.TestCase	):







       """simple docstring"""





       def    __UpperCAmelCase (    self	:	Union[str, Any]  )						->					List[Any]:
         # For consistency across different places the DisjunctiveConstraint is called,
         # dc.token_ids is a list of integers. It is also initialized only by integers.

         _lowercase							= [[1, 2, 4], [1, 2, 3, 4]]
         _lowercase							= DisjunctiveConstraint(__A  )
         self.assertTrue(isinstance(dc.token_ids						,__A  )  )

         with self.assertRaises(__A  ):
           DisjunctiveConstraint(torch.LongTensor([[1, 2, 4], [1, 2, 3]]  )  )

         with self.assertRaises(__A  ):
           DisjunctiveConstraint([torch.LongTensor([1, 2, 4]  ), torch.LongTensor([1, 2, 3, 4, 5]  )]  )







       def    __UpperCAmelCase (    self	:	List[Any]  )						->					str:
         # We can't have constraints that are complete subsets of another. This leads to a preverse
         # interpretation of "constraint fulfillment": does generating [1,2,3] fulfill the constraint?
         # It would mean that it generated [1,2] which fulfills it, but it's in the middle of potentially
         # fulfilling [1,2,3,4]. If we believe that [1,2,3] does fulfill the constraint, then the algorithm
         # will necessarily never reach [1,2,3,4], giving users a false sense of control (better to just not allow it).
         _lowercase							= [[1, 2], [1, 2, 3, 4]]

         with self.assertRaises(__A  ):
           DisjunctiveConstraint(__A  )  # fails here







       def    __UpperCAmelCase (    self	:	Dict  )						->					Optional[Any]:
         _lowercase							= [[1, 2, 3], [1, 2, 4]]

         _lowercase							= DisjunctiveConstraint(__A  )

         _lowercase						,		_lowercase						,		_lowercase							= dc.update(1  )
         _lowercase							= stepped is True and completed is False and reset is False
         self.assertTrue(__A  )
         self.assertTrue(not dc.completed  )
         self.assertTrue(dc.current_seq == [1]  )

         _lowercase						,		_lowercase						,		_lowercase							= dc.update(2  )
         _lowercase							= stepped is True and completed is False and reset is False
         self.assertTrue(__A  )
         self.assertTrue(not dc.completed  )
         self.assertTrue(dc.current_seq == [1, 2]  )

         _lowercase						,		_lowercase						,		_lowercase							= dc.update(3  )
         _lowercase							= stepped is True and completed is True and reset is False
         self.assertTrue(__A  )
         self.assertTrue(dc.completed  )  # Completed!
         self.assertTrue(dc.current_seq == [1, 2, 3]  )







       def    __UpperCAmelCase (    self	:	List[Any]  )						->					Any:
         _lowercase							= [[1, 2, 3], [1, 2, 4, 5], [1, 2, 5]]

         _lowercase							= DisjunctiveConstraint(__A  )

         _lowercase						,		_lowercase						,		_lowercase							= dc.update(1  )
         self.assertTrue(not dc.completed  )
         self.assertTrue(dc.current_seq == [1]  )

         _lowercase						,		_lowercase						,		_lowercase							= dc.update(2  )
         self.assertTrue(not dc.completed  )
         self.assertTrue(dc.current_seq == [1, 2]  )

         _lowercase						,		_lowercase						,		_lowercase							= dc.update(4  )
         self.assertTrue(not dc.completed  )
         self.assertTrue(dc.current_seq == [1, 2, 4]  )

         _lowercase						,		_lowercase						,		_lowercase							= dc.update(5  )
         self.assertTrue(dc.completed  )  # Completed!
         self.assertTrue(dc.current_seq == [1, 2, 4, 5]  )

         dc.reset()

         _lowercase						,		_lowercase						,		_lowercase							= dc.update(1  )
         self.assertTrue(not dc.completed  )
         self.assertTrue(dc.remaining() == 3  )
         self.assertTrue(dc.current_seq == [1]  )

         _lowercase						,		_lowercase						,		_lowercase							= dc.update(2  )
         self.assertTrue(not dc.completed  )
         self.assertTrue(dc.remaining() == 2  )
         self.assertTrue(dc.current_seq == [1, 2]  )

         _lowercase						,		_lowercase						,		_lowercase							= dc.update(5  )
         self.assertTrue(dc.completed  )  # Completed!
         self.assertTrue(dc.remaining() == 0  )
         self.assertTrue(dc.current_seq == [1, 2, 5]  )