empl0_beg += empl0
empl0_fin = S.Task('empl0_fin',completion_time_cost=2)
empl0_fin += empl0
#S += 2 <= empl0_beg, empl0_fin < empl0_beg + 6
# employee 1 begins at any time and finishes
# at most four hours later
empl1_beg = S.Task('empl1_beg',completion_time_cost=2)
empl1_beg += empl1
empl1_fin = S.Task('empl1_fin',completion_time_cost=2)
empl1_fin += empl1
#S += empl1_fin < empl1_beg + 6
# interchangeable tasks that need to be finished as
# by the two employees as early as possible
T = S.Tasks(name='T',num=6,is_group=True)
T += empl0 | empl1
# bound tasks of employees by shift begin and finish
S += empl0_beg < T*empl0, T*empl0 < empl0_fin
S += empl1_beg < T*empl1, T*empl1 < empl1_fin
if solvers.mip.solve(S,msg=0,kind='CBC'):
opts, _ = getopt.getopt(sys.argv[1:], 't:', ['test'])
if ('--test','') in opts:
assert(empl0_fin.start_value == 4)
assert(empl1_fin.start_value == 4)
print('test passed')
else:
plotters.matplotlib.plot(S)
#! /usr/bin/env python
import sys
sys.path.append('../src')
import getopt
opts, _ = getopt.getopt(sys.argv[1:], 't:', ['test'])
from pyschedule import Scenario, solvers, plotters
horizon = 10
S = Scenario('Scenario', horizon=horizon)
tasks = S.Tasks('T',
num=int(horizon / 2),
is_group=True,
completion_time_cost=2,
state=1)
breaks = S.Tasks('B',
num=int(horizon / 2),
is_group=True,
completion_time_cost=1,
state=-1)
R = S.Resource('R')
tasks += R
breaks += R
# ensure that state is always between 0 and 1
for t in range(horizon):
S += R['state'][:t] <= 1
S += R['state'][:t] >= 0
if solvers.mip.solve(S, msg=0):
if ('--test', '') in opts:
# test artefact for the case that pyschedule is
# read from folder
from pyschedule import Scenario, solvers, plotters, alt
import getopt
import sys
sys.path.append('../src')
opts, _ = getopt.getopt(sys.argv[1:], 't:', ['test'])
horizon = 18
S = Scenario('parallel_courses', horizon=horizon)
# size 2 means teacher can do two things in parallel
Teacher = S.Resource('T', size=2, periods=[0, 1, 2, 3, 4, 5, 7, 8, 9])
Courses_English = S.Tasks('CE', num=7, delay_cost=1,
plot_color='red', english=1)
Courses_Math = S.Tasks('CM', num=7, delay_cost=1, plot_color='green', math=1)
Courses_English += Teacher
Courses_Math += Teacher
S += Teacher['english'][0:horizon:1].max + \
Teacher['math'][0:horizon:1].max <= 1
if solvers.mip.solve(S, time_limit=600, msg=0):
if ('--test', '') in opts:
assert(len(set(T.start_value for T in Courses_English)
& set(T.start_value for T in Courses_Math)) == 0)
print('test passed')
else:
empl0_beg += empl0
empl0_fin = S.Task('empl0_fin', delay_cost=2)
empl0_fin += empl0
#S += 2 <= empl0_beg, empl0_fin < empl0_beg + 6
# employee 1 begins at any time and finishes
# at most four hours later
empl1_beg = S.Task('empl1_beg', delay_cost=2)
empl1_beg += empl1
empl1_fin = S.Task('empl1_fin', delay_cost=2)
empl1_fin += empl1
#S += empl1_fin < empl1_beg + 6
# interchangeable tasks that need to be finished as
# by the two employees as early as possible
T = S.Tasks(name='T', num=6, delay_cost=1, is_group=True)
T += empl0 | empl1
# bound tasks of employees by shift begin and finish
S += empl0_beg < T * empl0, T * empl0 < empl0_fin
S += empl1_beg < T * empl1, T * empl1 < empl1_fin
if solvers.mip.solve(S, msg=0, kind='CBC'):
opts, _ = getopt.getopt(sys.argv[1:], 't:', ['test'])
if ('--test', '') in opts:
assert (empl0_fin.start_value == 4)
assert (empl1_fin.start_value == 4)
print('test passed')
else:
plotters.matplotlib.plot(S)
else:
# test artefact for the case that pyschedule is
# read from folder
import sys
sys.path.append('../src')
import getopt
opts, _ = getopt.getopt(sys.argv[1:], 't:', ['test'])
from pyschedule import Scenario, solvers, plotters, alt
horizon = 20
S = Scenario('parallel_courses',horizon=horizon)
#size 2 means teacher can do two things in parallel
Teacher = S.Resource('T',size=2)
Courses_English = S.Tasks('CE',num=10,completion_time_cost=1,plot_color='red',english=1)
Courses_Math = S.Tasks('CM',num=10,completion_time_cost=1,plot_color='green',math=1)
Courses_English += Teacher
Courses_Math += Teacher
S += Teacher['english'][0:horizon:1].max + Teacher['math'][0:horizon:1].max <= 1
if solvers.mip.solve(S,time_limit=600,msg=0):
if ('--test','') in opts:
assert(len(set( T.start_value for T in Courses_English ) & set( T.start_value for T in Courses_Math )) == 0)
print('test passed')
else:
plotters.matplotlib.plot(S,show_task_labels=True)
else:
print('no solution found')
empl0_beg += empl0
empl0_fin = S.Task('empl0_fin', completion_time_cost=2)
empl0_fin += empl0
S += 2 <= empl0_beg, empl0_fin < empl0_beg + 6
# employee 1 begins at any time and finishes
# at most four hours later
empl1_beg = S.Task('empl1_beg', completion_time_cost=2)
empl1_beg += empl1
empl1_fin = S.Task('empl1_fin', completion_time_cost=2)
empl1_fin += empl1
S += empl1_fin < empl1_beg + 6
# interchangeable tasks that need to be finished as
# by the two employees as early as possible
T = S.Tasks(group='T', n_tasks=6)
T += empl0 | empl1
# bound tasks of employees by shift begin and finish
S += empl0_beg << T, T << empl0_fin
S += empl1_beg << T, T << empl1_fin
# alternatively, define each task separately
# and not as a interchangeable group
'''
T = dict()
for i in range(6):
T[i] = S.Task('T%i'%i,completion_time_cost=1)
T[i] += R1 | R2
S += T[i] << T1_e, T1_s << T[i]
S += T2_s << T[i], T[i] << T2_e