import pytest

import numpy as np

from flopt import Variable, Problem, Solver


def test_flopt_to_qp1():
    # Variables
    a = Variable('a', cat='Binary')
    b = Variable('b', cat='Binary')
    c = Variable('c', lowBound=-1, upBound=2, cat='Integer')
    d = Variable('d', lowBound=-2, upBound=1, cat='Continuous')

    # Problem
    prob = Problem()
    prob += a * a + c * b  # set the objective function
    prob += a + c == 0     # set the constraint
    prob += a + b <= 1     # set the constraint
    prob += a + d >= -1    # set the constraint
    print(prob)

    from flopt.convert import QpStructure
    qp = QpStructure.fromFlopt(prob)
    print(qp)

    qp.toAllEq()
    qp.toAllNeq()


def test_flopt_to_qp2():
    # Variables
    a = Variable('a', cat='Binary')
    b = Variable('b', cat='Binary')

    # Problem
    prob = Problem()
    prob += a + b       # set the objective function
    print(prob)

    from flopt.convert import QpStructure
    qp = QpStructure.fromFlopt(prob)
    print(qp)

    qp.toAllEq()
    qp.toAllNeq()
    qp.toLp()
    qp.toIsing()
    qp.toQubo()


def test_flopt_to_lp1():
    # Variables
    a = Variable('a', cat='Binary')
    b = Variable('b', cat='Binary')
    c = Variable('c', lowBound=-1, upBound=2, cat='Integer')
    d = Variable('d', lowBound=-2, upBound=1, cat='Continuous')

    # Problem
    prob = Problem()
    prob += c + b       # set the objective function
    prob += a + c == 0  # set the constraint
    prob += a + b <= 1  # set the constraint
    prob += a + d >= -1 # set the constraint
    print(prob)

    from flopt.convert import LpStructure
    lp = LpStructure.fromFlopt(prob)
    print(lp)

    lp.toAllEq()
    lp.toAllNeq()
    lp.toQp()


def test_flopt_to_lp2():
    # Variables
    a = Variable('a', cat='Binary')
    b = Variable('b', cat='Binary')

    # Problem
    prob = Problem()
    prob += a + b       # set the objective function
    print(prob)

    from flopt.convert import LpStructure
    lp = LpStructure.fromFlopt(prob)
    print(lp)

    lp.toAllEq()
    lp.toAllNeq()
    lp.toQp()
    lp.toIsing()
    lp.toQubo()


def test_flopt_to_lp1():
    # Variables
    a = Variable('a', cat='Binary')
    b = Variable('b', cat='Binary')
    c = Variable('c', lowBound=-1, upBound=2, cat='Integer')
    d = Variable('d', lowBound=-2, upBound=1, cat='Continuous')

    # Problem
    prob = Problem()
    prob += c + b       # set the objective function
    prob += a + c == 0  # set the constraint
    prob += a + b <= 1  # set the constraint
    prob += a + d >= -1 # set the constraint
    print(prob)

    from flopt.convert import LpStructure
    lp = LpStructure.fromFlopt(prob)
    print(lp)

    lp.toAllEq()
    lp.toAllNeq()
    lp.toQp()


def test_flopt_to_lp1():
    # Variables
    a = Variable('a', cat='Binary')
    b = Variable('b', cat='Binary')

    # Problem
    prob = Problem()
    prob += a + b       # set the objective function
    print(prob)

    from flopt.convert import LpStructure
    lp = LpStructure.fromFlopt(prob)
    print(lp)

    lp.toAllEq()
    lp.toAllNeq()
    lp.toQp()
    lp.toIsing()
    lp.toQubo()


def test_flopt_to_ising1():
    a = Variable(name='a', ini_value=1, cat='Spin')
    b = Variable(name='b', ini_value=1, cat='Spin')
    c = Variable(name='c', ini_value=1, cat='Spin')

    # Problem
    prob = Problem()

    # make Ising model
    import numpy as np
    x = np.array([a, b, c])
    J = np.array([
        [1, 2, 1],
        [0, 1, 1],
        [0, 0, 3]
    ])
    h = np.array([1, 2, 0])
    prob += - (x.T).dot(J).dot(x) - (h.T).dot(x)  # objective function

    print(prob)

    # convert objective function to Ising structure
    from flopt.convert import IsingStructure
    ising = IsingStructure.fromFlopt(prob)
    print(ising)

    ising.toQp()
    ising.toQubo()

def test_flopt_to_ising2():
    a = Variable(name='a', ini_value=1, cat='Binary')
    b = Variable(name='b', ini_value=1, cat='Binary')
    c = Variable(name='c', ini_value=1, cat='Binary')

    # Problem
    prob = Problem()

    # make model
    prob += - a - b - c

    print(prob)

    # convert objective function to Ising structure
    from flopt.convert import IsingStructure
    ising = IsingStructure.fromFlopt(prob)

    ising.toQp()
    ising.toLp()
    ising.toQubo()


def test_flopt_to_qubo1():
    a = Variable(name='a', ini_value=1, cat='Binary')
    b = Variable(name='b', ini_value=1, cat='Binary')
    c = Variable(name='c', ini_value=1, cat='Binary')

    # Problem
    prob = Problem()

    # make model
    prob += - a * b - c

    print(prob)

    # convert objective function to Qubo structure
    from flopt.convert import QuboStructure
    qubo = QuboStructure.fromFlopt(prob)
    print(qubo)

    qubo.toQp()
    qubo.toIsing()


def test_flopt_to_qubo2():
    a = Variable(name='a', ini_value=1, cat='Binary')
    b = Variable(name='b', ini_value=1, cat='Binary')
    c = Variable(name='c', ini_value=1, cat='Binary')

    # Problem
    prob = Problem()

    # make model
    prob += - a - b - c

    print(prob)

    # convert objective function to Qubo structure
    from flopt.convert import QuboStructure
    qubo = QuboStructure.fromFlopt(prob)
    print(qubo)

    qubo.toQp()
    qubo.toLp()
    qubo.toIsing()


def test_flopt_to_pulp():
    # Variables
    a = Variable('a', cat='Binary')
    b = Variable('b', cat='Binary')
    c = Variable('c', lowBound=-1, upBound=2, cat='Integer')
    d = Variable('d', lowBound=-2, upBound=1, cat='Continuous')

    # Problem
    prob = Problem()
    prob += c + b       # set the objective function
    prob += a + c == 0  # set the constraint
    prob += a + b <= 1  # set the constraint
    prob += a + d >= -1 # set the constraint

    print(prob)

    # check wheter prob can be converted into pulp modeling
    assert Solver(algo='PulpSearch').available(prob)

    # convert flopt to pulp
    from flopt.convert import flopt_to_pulp
    lp_prob, lp_solution = flopt_to_pulp(prob)
    print(lp_prob)
    print(lp_solution)


def test_lp_to_flopt():
    # make Lp model
    c = [0, 1, 2]
    C = 0
    A = [[0, 1, 2],
         [1, 2, 3],
         [0, 1, 2]]
    b = [0, 1, 1]
    lb = [0, 0, 0]
    ub = [1, 1, 1]
    var_types=['Binary', 'Binary', 'Continuous']

    from flopt.convert import LpStructure
    prob = LpStructure(c, C, A=A, b=b, lb=lb, ub=ub, types=var_types).toFlopt()
    print(prob.show())


def test_ising_to_flopt():
    # make Ising model
    J = [[1, 2, 1],
         [0, 1, 1],
         [0, 0, 3]]
    h = [1, 2, 0]
    C = 0

    from flopt.convert import IsingStructure
    prob = IsingStructure(J, h, C).toFlopt()
    print(prob.show())


def test_qubo_to_flopt():
    # make Qubo model
    Q = [[1, 2, 1],
         [0, 1, 1],
         [0, 0, 3]]
    C = 10

    from flopt.convert import QuboStructure
    prob = QuboStructure(Q, C).toFlopt()
    print(prob)


def test_pulp_to_flopt():
    import pulp

    # Variables
    a = pulp.LpVariable('a', lowBound=0, upBound=1, cat='Integer')
    b = pulp.LpVariable('b', lowBound=1, upBound=2, cat='Continuous')
    c = pulp.LpVariable('c', upBound=3, cat='Continuous')

    # Problem
    prob = pulp.LpProblem()
    prob += - a - b - c # set the objective function
    prob += a <= 0      # set the constraint
    prob += a + b == c  # set the constraint
    prob += c >= 0      # set the constraint

    print(prob)

    from flopt.convert import pulp_to_flopt
    flopt_prob = pulp_to_flopt(prob)
    print(flopt_prob.show())

import pytest

import numpy as np

from flopt import Variable, Problem, Solver


def test_flopt_to_qp1():
    # Variables
    a = Variable('a', cat='Binary')
    b = Variable('b', cat='Binary')
    c = Variable('c', lowBound=-1, upBound=2, cat='Integer')
    d = Variable('d', lowBound=-2, upBound=1, cat='Continuous')

    # Problem
    prob = Problem()
    prob += a * a + c * b  # set the objective function
    prob += a + c == 0     # set the constraint
    prob += a + b <= 1     # set the constraint
    prob += a + d >= -1    # set the constraint
    print(prob)

    from flopt.convert import QpStructure
    qp = QpStructure.fromFlopt(prob)
    print(qp)

    qp.toAllEq()
    qp.toAllNeq()


def test_flopt_to_qp2():
    # Variables
    a = Variable('a', cat='Binary')
    b = Variable('b', cat='Binary')

    # Problem
    prob = Problem()
    prob += a + b       # set the objective function
    print(prob)

    from flopt.convert import QpStructure
    qp = QpStructure.fromFlopt(prob)
    print(qp)

    qp.toAllEq()
    qp.toAllNeq()
    qp.toLp()
    qp.toIsing()
    qp.toQubo()


def test_flopt_to_lp1():
    # Variables
    a = Variable('a', cat='Binary')
    b = Variable('b', cat='Binary')
    c = Variable('c', lowBound=-1, upBound=2, cat='Integer')
    d = Variable('d', lowBound=-2, upBound=1, cat='Continuous')

    # Problem
    prob = Problem()
    prob += c + b       # set the objective function
    prob += a + c == 0  # set the constraint
    prob += a + b <= 1  # set the constraint
    prob += a + d >= -1 # set the constraint
    print(prob)

    from flopt.convert import LpStructure
    lp = LpStructure.fromFlopt(prob)
    print(lp)

    lp.toAllEq()
    lp.toAllNeq()
    lp.toQp()


def test_flopt_to_lp2():
    # Variables
    a = Variable('a', cat='Binary')
    b = Variable('b', cat='Binary')

    # Problem
    prob = Problem()
    prob += a + b       # set the objective function
    print(prob)

    from flopt.convert import LpStructure
    lp = LpStructure.fromFlopt(prob)
    print(lp)

    lp.toAllEq()
    lp.toAllNeq()
    lp.toQp()
    lp.toIsing()
    lp.toQubo()


def test_flopt_to_lp1():
    # Variables
    a = Variable('a', cat='Binary')
    b = Variable('b', cat='Binary')
    c = Variable('c', lowBound=-1, upBound=2, cat='Integer')
    d = Variable('d', lowBound=-2, upBound=1, cat='Continuous')

    # Problem
    prob = Problem()
    prob += c + b       # set the objective function
    prob += a + c == 0  # set the constraint
    prob += a + b <= 1  # set the constraint
    prob += a + d >= -1 # set the constraint
    print(prob)

    from flopt.convert import LpStructure
    lp = LpStructure.fromFlopt(prob)
    print(lp)

    lp.toAllEq()
    lp.toAllNeq()
    lp.toQp()


def test_flopt_to_lp1():
    # Variables
    a = Variable('a', cat='Binary')
    b = Variable('b', cat='Binary')

    # Problem
    prob = Problem()
    prob += a + b       # set the objective function
    print(prob)

    from flopt.convert import LpStructure
    lp = LpStructure.fromFlopt(prob)
    print(lp)

    lp.toAllEq()
    lp.toAllNeq()
    lp.toQp()
    lp.toIsing()
    lp.toQubo()


def test_flopt_to_ising1():
    a = Variable(name='a', ini_value=1, cat='Spin')
    b = Variable(name='b', ini_value=1, cat='Spin')
    c = Variable(name='c', ini_value=1, cat='Spin')

    # Problem
    prob = Problem()

    # make Ising model
    import numpy as np
    x = np.array([a, b, c])
    J = np.array([
        [1, 2, 1],
        [0, 1, 1],
        [0, 0, 3]
    ])
    h = np.array([1, 2, 0])
    prob += - (x.T).dot(J).dot(x) - (h.T).dot(x)  # objective function

    print(prob)

    # convert objective function to Ising structure
    from flopt.convert import IsingStructure
    ising = IsingStructure.fromFlopt(prob)
    print(ising)

    ising.toQp()
    ising.toQubo()

def test_flopt_to_ising2():
    a = Variable(name='a', ini_value=1, cat='Binary')
    b = Variable(name='b', ini_value=1, cat='Binary')
    c = Variable(name='c', ini_value=1, cat='Binary')

    # Problem
    prob = Problem()

    # make model
    prob += - a - b - c

    print(prob)

    # convert objective function to Ising structure
    from flopt.convert import IsingStructure
    ising = IsingStructure.fromFlopt(prob)

    ising.toQp()
    ising.toLp()
    ising.toQubo()


def test_flopt_to_qubo1():
    a = Variable(name='a', ini_value=1, cat='Binary')
    b = Variable(name='b', ini_value=1, cat='Binary')
    c = Variable(name='c', ini_value=1, cat='Binary')

    # Problem
    prob = Problem()

    # make model
    prob += - a * b - c

    print(prob)

    # convert objective function to Qubo structure
    from flopt.convert import QuboStructure
    qubo = QuboStructure.fromFlopt(prob)
    print(qubo)

    qubo.toQp()
    qubo.toIsing()


def test_flopt_to_qubo2():
    a = Variable(name='a', ini_value=1, cat='Binary')
    b = Variable(name='b', ini_value=1, cat='Binary')
    c = Variable(name='c', ini_value=1, cat='Binary')

    # Problem
    prob = Problem()

    # make model
    prob += - a - b - c

    print(prob)

    # convert objective function to Qubo structure
    from flopt.convert import QuboStructure
    qubo = QuboStructure.fromFlopt(prob)
    print(qubo)

    qubo.toQp()
    qubo.toLp()
    qubo.toIsing()


def test_flopt_to_pulp():
    # Variables
    a = Variable('a', cat='Binary')
    b = Variable('b', cat='Binary')
    c = Variable('c', lowBound=-1, upBound=2, cat='Integer')
    d = Variable('d', lowBound=-2, upBound=1, cat='Continuous')

    # Problem
    prob = Problem()
    prob += c + b       # set the objective function
    prob += a + c == 0  # set the constraint
    prob += a + b <= 1  # set the constraint
    prob += a + d >= -1 # set the constraint

    print(prob)

    # check wheter prob can be converted into pulp modeling
    assert Solver(algo='PulpSearch').available(prob)

    # convert flopt to pulp
    from flopt.convert import flopt_to_pulp
    lp_prob, lp_solution = flopt_to_pulp(prob)
    print(lp_prob)
    print(lp_solution)


def test_lp_to_flopt():
    # make Lp model
    c = [0, 1, 2]
    C = 0
    A = [[0, 1, 2],
         [1, 2, 3],
         [0, 1, 2]]
    b = [0, 1, 1]
    lb = [0, 0, 0]
    ub = [1, 1, 1]
    var_types=['Binary', 'Binary', 'Continuous']

    from flopt.convert import LpStructure
    prob = LpStructure(c, C, A=A, b=b, lb=lb, ub=ub, types=var_types).toFlopt()
    print(prob.show())


def test_ising_to_flopt():
    # make Ising model
    J = [[1, 2, 1],
         [0, 1, 1],
         [0, 0, 3]]
    h = [1, 2, 0]
    C = 0

    from flopt.convert import IsingStructure
    prob = IsingStructure(J, h, C).toFlopt()
    print(prob.show())


def test_qubo_to_flopt():
    # make Qubo model
    Q = [[1, 2, 1],
         [0, 1, 1],
         [0, 0, 3]]
    C = 10

    from flopt.convert import QuboStructure
    prob = QuboStructure(Q, C).toFlopt()
    print(prob)


def test_pulp_to_flopt():
    import pulp

    # Variables
    a = pulp.LpVariable('a', lowBound=0, upBound=1, cat='Integer')
    b = pulp.LpVariable('b', lowBound=1, upBound=2, cat='Continuous')
    c = pulp.LpVariable('c', upBound=3, cat='Continuous')

    # Problem
    prob = pulp.LpProblem()
    prob += - a - b - c # set the objective function
    prob += a <= 0      # set the constraint
    prob += a + b == c  # set the constraint
    prob += c >= 0      # set the constraint

    print(prob)

    from flopt.convert import pulp_to_flopt
    flopt_prob = pulp_to_flopt(prob)
    print(flopt_prob.show())

# Variables # Problem # set the objective function # set the constraint # set the constraint # set the constraint # Variables # Problem # set the objective function # Variables # Problem # set the objective function # set the constraint # set the constraint # set the constraint # Variables # Problem # set the objective function # Variables # Problem # set the objective function # set the constraint # set the constraint # set the constraint # Variables # Problem # set the objective function # Problem # make Ising model # objective function # convert objective function to Ising structure # Problem # make model # convert objective function to Ising structure # Problem # make model # convert objective function to Qubo structure # Problem # make model # convert objective function to Qubo structure # Variables # Problem # set the objective function # set the constraint # set the constraint # set the constraint # check wheter prob can be converted into pulp modeling # convert flopt to pulp # make Lp model # make Ising model # make Qubo model # Variables # Problem # set the objective function # set the constraint # set the constraint # set the constraint