def POM3_TEAMS(my, x):
return pom3_teams(my.POM3_REQUIREMENTS(x), my.POM3_DECISIONS(x))
def POM3_TEAMS(my, x):
return pom3_teams(my.POM3_REQUIREMENTS(x),
my.POM3_DECISIONS(x))
def simulate(p3, inputs):
# # # # # # # # # # #
# 0) Initialization #
# # # # # # # # # # #
POM3_DECISIONS = pom3_decisions(inputs)
numberOfShuffles = random.randint(2, 6)
# # # # # # # # # # # # # # #
# 1) Generate Requirements #
# # # # # # # # # # # # # # #
POM3_REQUIREMENTS = pom3_requirements(POM3_DECISIONS)
# # # # # # # # # # #
# 2) Generate Teams #
# # # # # # # # # # #
POM3_TEAMS = pom3_teams(POM3_REQUIREMENTS, POM3_DECISIONS)
# # # # # # # #
# 3) Shuffle #
# # # # # # # #
for shufflingIteration in range(numberOfShuffles):
for team in POM3_TEAMS.teams:
team.updateBudget(numberOfShuffles)
team.collectAvailableTasks(POM3_REQUIREMENTS)
team.applySortingStrategy()
team.executeAvailableTasks()
team.discoverNewTasks()
team.updateTasks()
# # # # # # # # # # # # #
# 4) Objective Scoring #
# # # # # # # # # # # # #
cost_sum, value_sum, god_cost_sum, god_value_sum, completion_sum, available_sum, total_tasks = 0.0, 0.0, 0.0, 0.0, 0, 0, 0
for team in POM3_TEAMS.teams:
cost_sum += team.cost_total
value_sum += team.value_total
available_sum += team.numAvailableTasks
completion_sum += team.numCompletedTasks
for task in team.tasks:
if task.val.visible:
total_tasks += 1
for task in team.tasks:
if task.val.done:
god_cost_sum += task.val.cost
god_value_sum += task.val.value
if cost_sum == 0:
our_frontier = 0.0
else:
our_frontier = value_sum / cost_sum
if god_cost_sum == 0:
god_frontier = 0.0
else:
god_frontier = god_value_sum / god_cost_sum
if god_frontier == 0.0:
score = 0.0
else:
score = our_frontier / god_frontier
# print
# "cost",cost_sum,"value",value_sum,"completion",completion_sum,"avaiable",available_sum,"tot
# tasks",total_tasks
if completion_sum == 0:
cost = 0
else:
cost = cost_sum / completion_sum
if available_sum == 0:
idle = 0
else:
idle = 1 - completion_sum / float(available_sum)
if total_tasks == 0:
completion = 0
else:
completion = completion_sum / float(total_tasks)
# return [cost, score, completion, idle]
return [cost, completion, idle]
def simulate(p3, inputs):
# # # # # # # # # # #
# 0) Initialization #
# # # # # # # # # # #
POM3_DECISIONS = pom3_decisions(inputs)
numberOfShuffles = random.randint(2, 6)
# # # # # # # # # # # # # # #
# 1) Generate Requirements #
# # # # # # # # # # # # # # #
POM3_REQUIREMENTS = pom3_requirements(POM3_DECISIONS)
# # # # # # # # # # #
# 2) Generate Teams #
# # # # # # # # # # #
POM3_TEAMS = pom3_teams(POM3_REQUIREMENTS, POM3_DECISIONS)
# # # # # # # #
# 3) Shuffle #
# # # # # # # #
for shufflingIteration in range(numberOfShuffles):
for team in POM3_TEAMS.teams:
team.updateBudget(numberOfShuffles)
team.collectAvailableTasks(POM3_REQUIREMENTS)
team.applySortingStrategy()
team.executeAvailableTasks()
team.discoverNewTasks()
team.updateTasks()
# # # # # # # # # # # # #
# 4) Objective Scoring #
# # # # # # # # # # # # #
cost_sum, value_sum, god_cost_sum, god_value_sum, completion_sum, available_sum, total_tasks = 0.0, 0.0, 0.0, 0.0, 0, 0, 0
for team in POM3_TEAMS.teams:
cost_sum += team.cost_total
value_sum += team.value_total
available_sum += team.numAvailableTasks
completion_sum += team.numCompletedTasks
for task in team.tasks:
if task.val.visible:
total_tasks += 1
for task in team.tasks:
if task.val.done:
god_cost_sum += task.val.cost
god_value_sum += task.val.value
if cost_sum == 0:
our_frontier = 0.0
else:
our_frontier = value_sum / cost_sum
if god_cost_sum == 0:
god_frontier = 0.0
else:
god_frontier = god_value_sum / god_cost_sum
if god_frontier == 0.0:
score = 0.0
else:
score = our_frontier / god_frontier
# print
# "cost",cost_sum,"value",value_sum,"completion",completion_sum,"avaiable",available_sum,"tot
# tasks",total_tasks
if completion_sum == 0:
cost = 0
else:
cost = cost_sum / completion_sum
if available_sum == 0:
idle = 0
else:
idle = 1 - completion_sum / float(available_sum)
if total_tasks == 0:
completion = 0
else:
completion = completion_sum / float(total_tasks)
# return [cost, score, completion, idle]
return [cost, completion, idle]