Related tasks on different resources about pyschedule HOT 7 OPEN

S += green_paint < green_post*Alice

if green_paint is scheduled on Alice then green_post should be scheduled on Bob
if green_paint is scheduled on Bob then green_post should be scheduled on Alice
green_paint < green_post

#! /usr/bin/env python
import sys
sys.path.append('../src')
from pyschedule import Scenario, Task, Resource, solvers, plotters, alt

horizon = 10

S = Scenario('Scenario',horizon=horizon)
green_paint = S.Task('green_paint',completion_time_cost=1)
green_post = S.Task('green_post',completion_time_cost=2)

person = S.Resources('person_',num=2)

green_paint += alt(person)
green_post += alt(person)

green_post += green_paint*person

solvers.mip.solve(S, msg=1)
plotters.matplotlib.plot(S, fig_size=(10, 5))

if green_paint is scheduled on person_0 then green_post should be scheduled on person_1
if green_paint is scheduled on person_1 then green_post should be scheduled on person_0
green_paint < green_post

from pyschedule import Scenario, Task, Resource, solvers, plotters, alt

horizon = 10

S = Scenario('Scenario',horizon=horizon)
green_paint = S.Task('green_paint',completion_time_cost=1,green=1)
green_post = S.Task('green_post',completion_time_cost=2,green=1)

person = S.Resources('person',num=2)

green_paint += alt(person)
green_post += alt(person)

S += person[0]['green'] <= 1
S += person[1]['green'] <= 1

S += green_paint < green_post

solvers.mip.solve(S, msg=1)
plotters.matplotlib.plot(S, fig_size=(10, 5))

N = 2  # NUM of Tasks
K = 2  # NUM of Legs
M = 2  # NUM of Machines
minTimeTask,maxTimeTask=2,5 # Task Execution time
TaskOfTask = []
Machines = [S.Resource('Machine{0}'.format(m)) for m in range(M)]

for n in range(N):
    subTasks = []
    for k in range(K):
        TaksName = "Task{0}_{1}".format(n+1,k+1)        
        Task = S.Task(TaksName,randint(minTimeTask,maxTimeTask), completion_time_cost=1, green = 1 )
        Task += alt( R for R in Machines )        
        subTasks.append(Task)    
    TaskOfTask.append(subTasks)
for M in Machines:
    S += M['green']<=1
        
S.use_makespan_objective()
solvers.mip.solve(S,msg=1)

from pyschedule import Scenario, Task, Resource, solvers, plotters, alt
from random import randint

horizon = 50
S = Scenario('Scenario',horizon=horizon)

N = 2  # NUM of Tasks
K = 2  # NUM of Legs
M = 2  # NUM of Machines
minTimeTask,maxTimeTask=2,5 # Task Execution time
TaskOfTask = []
Machines = S.Resources('Machine',num=M)

for n in range(N):
    subTasks = []
    for k in range(K):
        TaskName = "Task{0}_{1}".format(n+1,k+1)
        Task = S.Task(TaskName,randint(minTimeTask,maxTimeTask), completion_time_cost=1, green= 1)
        Task += alt(Machines)
        subTasks.append(Task)
    TaskOfTask.append(subTasks)

S += Machines['green'] <= 3

if solvers.mip.solve(S, msg=1):
	plotters.matplotlib.plot(S, fig_size=(10, 5))
else:
	print('no solution exists')