


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				):
 def 		SCREAMING_SNAKE_CASE__       (       self			) ->    Tuple:




        '''simple docstring'''
        # 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__:       List[str]        =       [[1, 2, 4], [1, 2, 3, 4]]
        lowercase__:       str        =       DisjunctiveConstraint(_lowerCamelCase			)
        self.assertTrue(isinstance(dc.token_ids    ,			_lowerCamelCase			)			)

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

        with self.assertRaises(_lowerCamelCase			):
               DisjunctiveConstraint([torch.LongTensor([1, 2, 4]			), torch.LongTensor([1, 2, 3, 4, 5]			)]			)
 def 		SCREAMING_SNAKE_CASE__       (       self			) ->    int:




        '''simple docstring'''
        # 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__:       Any        =       [[1, 2], [1, 2, 3, 4]]

        with self.assertRaises(_lowerCamelCase			):
               DisjunctiveConstraint(_lowerCamelCase			)  # fails here
 def 		SCREAMING_SNAKE_CASE__       (       self			) ->    Optional[Any]:




        '''simple docstring'''
        lowercase__:       str        =       [[1, 2, 3], [1, 2, 4]]

        lowercase__:       int        =       DisjunctiveConstraint(_lowerCamelCase			)

        lowercase__:       Any        =       dc.update(1			)
        lowercase__:       List[Any]        =       stepped is True and completed is False and reset is False
        self.assertTrue(_lowerCamelCase			)
        self.assertTrue(not dc.completed			)
        self.assertTrue(dc.current_seq == [1]			)

        lowercase__:       Optional[int]        =       dc.update(2			)
        lowercase__:       List[Any]        =       stepped is True and completed is False and reset is False
        self.assertTrue(_lowerCamelCase			)
        self.assertTrue(not dc.completed			)
        self.assertTrue(dc.current_seq == [1, 2]			)

        lowercase__:       Union[str, Any]        =       dc.update(3			)
        lowercase__:       Union[str, Any]        =       stepped is True and completed is True and reset is False
        self.assertTrue(_lowerCamelCase			)
        self.assertTrue(dc.completed			)  # Completed!
        self.assertTrue(dc.current_seq == [1, 2, 3]			)
 def 		SCREAMING_SNAKE_CASE__       (       self			) ->    Union[str, Any]:




        '''simple docstring'''
        lowercase__:       List[Any]        =       [[1, 2, 3], [1, 2, 4, 5], [1, 2, 5]]

        lowercase__:       Any        =       DisjunctiveConstraint(_lowerCamelCase			)

        lowercase__:       Any        =       dc.update(1			)
        self.assertTrue(not dc.completed			)
        self.assertTrue(dc.current_seq == [1]			)

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

        lowercase__:       List[str]        =       dc.update(4			)
        self.assertTrue(not dc.completed			)
        self.assertTrue(dc.current_seq == [1, 2, 4]			)

        lowercase__:       Union[str, Any]        =       dc.update(5			)
        self.assertTrue(dc.completed			)  # Completed!
        self.assertTrue(dc.current_seq == [1, 2, 4, 5]			)

        dc.reset()

        lowercase__:       str        =       dc.update(1			)
        self.assertTrue(not dc.completed			)
        self.assertTrue(dc.remaining() == 3			)
        self.assertTrue(dc.current_seq == [1]			)

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

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








import math

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




def        snake_case_					(  snake_case = 3					)  ->    qiskit.result.counts.Counts:
       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).'					)

       lowercase__:       str        =       QuantumRegister(snake_case      ,							'qr'					)
       lowercase__:       str        =       ClassicalRegister(snake_case      ,							'cr'					)

       lowercase__:       List[Any]        =       QuantumCircuit(snake_case      ,							snake_case					)

       lowercase__:       int        =       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
       lowercase__:       str        =       Aer.get_backend('qasm_simulator'					)
       lowercase__:       Union[str, Any]        =       execute(snake_case      ,							snake_case      ,							shots=1_00_00					)

       return job.result().get_counts(snake_case					)


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


