Ejemplos de Cluster.constraints en Python

Ejemplo n.º 1

Archivo: test_language_features.py Proyecto: FoaadTahir/friendlysam

def check_variant(variant):
    times = list(range(5))
    consumption = lambda t: t * 1.5

    p = Producer(name='Producer')
    c = Consumer(consumption, variant)
    cl = Cluster(p, c, resource=RESOURCE, name='Cluster')

    prob = fs.Problem()
    prob.add_constraints(chain(*(cl.constraints(t) for t in times)))

    prob.objective = fs.Minimize(sum(p.cost(t) for t in times))

    solution = default_solver.solve(prob)

    for t in times:
        c.activity(t).take_value(solution)
        p.activity(t).take_value(solution)

    for t in times:
        assert approx(p.production[RESOURCE](t).value, consumption(t))
        assert approx(c.consumption[RESOURCE](t).value, consumption(t))

Ejemplo n.º 2

def check_variant(variant):
    times = list(range(5))
    consumption = lambda t: t * 1.5

    p = Producer(name='Producer')
    c = Consumer(consumption, variant)
    cl = Cluster(p, c, resource=RESOURCE, name='Cluster')

    prob = fs.Problem()
    prob.add_constraints(chain(*(cl.constraints(t) for t in times)))

    prob.objective = fs.Minimize(sum(p.cost(t) for t in times))

    solution = default_solver.solve(prob)

    for t in times:
        c.activity(t).take_value(solution)
        p.activity(t).take_value(solution)

    for t in times:
        assert approx(p.production[RESOURCE](t).value, consumption(t))
        assert approx(c.consumption[RESOURCE](t).value, consumption(t))

Ejemplo n.º 3

Archivo: test_state_vars.py Proyecto: FoaadTahir/friendlysam

def test_state_vars():
    times = list(range(1, 4))

    consumption = lambda t: t * 1.5

    p = Producer(name='Producer')
    c = Consumer(consumption, name='Consumer')
    cl = Cluster(p, c, resource=RESOURCE, name='Cluster')

    prob = fs.Problem()
    prob.add_constraints(chain(*(cl.constraints(t) for t in times)))

    prob.objective = fs.Minimize(sum(p.cost(t) for t in times))

    solution = default_solver.solve(prob)

    for t, part in product(times, cl.parts()):
        for v in part.state_variables(t):
            v.take_value(solution)

    for t in times:
        assert approx(p.production[RESOURCE](t).value, consumption(t))
        assert approx(c.consumption[RESOURCE](t).value, consumption(t))

Ejemplo n.º 4

Archivo: test_state_vars.py Proyecto: FoaadTahir/friendlysam

def test_state_vars():
    times = list(range(1,4))

    consumption = lambda t: t * 1.5

    p = Producer(name='Producer')
    c = Consumer(consumption, name='Consumer')
    cl = Cluster(p, c, resource=RESOURCE, name='Cluster')

    prob = fs.Problem()
    prob.add_constraints(chain(*(cl.constraints(t) for t in times)))

    prob.objective = fs.Minimize(sum(p.cost(t) for t in times))

    solution = default_solver.solve(prob)

    for t, part in product(times, cl.parts()):
        for v in part.state_variables(t):
            v.take_value(solution)

    for t in times:
        assert approx(p.production[RESOURCE](t).value, consumption(t))
        assert approx(c.consumption[RESOURCE](t).value, consumption(t))