def test_makespan(self):
assignment = np.array([0, 0, 0])
makespan = support.get_makespan(self.cost, assignment)
self.assertEqual(makespan, 0.5)
assignment = np.array([4, 4, 4])
makespan = support.get_makespan(self.cost, assignment)
self.assertEqual(makespan, 200.0)
assignment = np.array([2, 1, 1])
makespan = support.get_makespan(self.cost, assignment)
self.assertEqual(makespan, 1.5)
def check_and_store(name, tasks, resources, assignment, cost,
lower_limit, upper_limit):
"""
Checks if the results are correct and stores them in the logger.
Parameters
----------
name : string
Name of the scheduler
tasks : int
Number of tasks (tau)
resources : int
Number of resources (R)
assignment : np.array(shape=(resources))
Assignment of tasks to resources
cost : np.array(shape=(resources, tasks+1))
Cost functions per resource (C)
lower_limit : np.array(shape=(resources), dtype=int)
Lower limit of number of tasks per resource
upper_limit : np.array(shape=(resources), dtype=int)
Upper limit of number of tasks per resource
"""
cmax = support.get_makespan(cost, assignment)
if support.check_total_assigned(tasks, assignment) == False:
print(f'-- {name} failed to assign {tasks} tasks to' +
f' {resources} resources ({np.sum(assignment)}' +
f' were assigned).')
if support.check_limits(assignment, lower_limit, upper_limit) == False:
print(f'-- {name} failed to respect the lower or upper' +
f' limits when assigning {tasks} tasks to' +
f' {resources} resources.')
logger.store(f'{name},{tasks},{resources},{cmax}')