def generate_group_missions(groupes, state, species, max_split_rate):
nb_human_groups = len(state.getMembers(Species.human))
nb_enemy_groups = len(state.getMembers(species.inverse()))
nb_my_groups = len(groupes)
sub_missions_array = []
#on genere une liste de missions possibles par groupe (split et non split)
for groupMe in groupes:
possible_actions = enumerate_possible_actions(state, groupMe, species,
nb_my_groups,
max_split_rate)
possible_simple_actions = possible_actions[0]
possible_simple_rates = []
possible_split_actions = possible_actions[1]
possible_split_rates = []
group_missions = []
for action in possible_simple_actions:
#on calcule les notes des actions "simples": un groupe attaque un groupe d'humains
action.calc_mark(state)
possible_simple_rates.append(action.mark)
for actions in possible_split_actions:
#on calcule les notes des missions splittées
actions[0].calc_mark(state)
actions[1].calc_mark(state)
possible_split_rates.append(actions[0].mark + actions[1].mark)
#ensuite, on cree notre liste de missions possibles pour ce groupe
for action in possible_simple_actions:
group_missions.append(Mission([action]))
for split_couple in possible_split_actions:
group_missions.append(Mission([split_couple[0], split_couple[1]]))
merged_rates = possible_simple_rates + possible_split_rates
group_missions.sort(key=dict(zip(group_missions, merged_rates)).get,
reverse=True)
#on rajoute les missions possibles de ce groupe (déjà pré-tronquée) à la liste de sous-missions globales
sub_missions_array.append(group_missions[:(nb_human_groups +
nb_enemy_groups)])
return sub_missions_array
def generate_group_missions (groupes, state, species, max_split_rate):
nb_human_groups=len(state.getMembers(Species.human))
nb_enemy_groups=len(state.getMembers(species.inverse()))
nb_my_groups = len(groupes)
sub_missions_array=[]
#on genere une liste de missions possibles par groupe (split et non split)
for groupMe in groupes:
possible_actions = enumerate_possible_actions(state, groupMe, species,nb_my_groups, max_split_rate)
possible_simple_actions = possible_actions[0]
possible_simple_rates = []
possible_split_actions = possible_actions[1]
possible_split_rates = []
group_missions = []
for action in possible_simple_actions:
#on calcule les notes des actions "simples": un groupe attaque un groupe d'humains
action.calc_mark(state)
possible_simple_rates.append(action.mark)
for actions in possible_split_actions:
#on calcule les notes des missions splittées
actions[0].calc_mark(state)
actions[1].calc_mark(state)
possible_split_rates.append(actions[0].mark + actions[1].mark)
#ensuite, on cree notre liste de missions possibles pour ce groupe
for action in possible_simple_actions:
group_missions.append(Mission([action]))
for split_couple in possible_split_actions:
group_missions.append(Mission([split_couple[0], split_couple[1]]))
merged_rates = possible_simple_rates + possible_split_rates
group_missions.sort(key=dict(zip(group_missions, merged_rates)).get, reverse=True)
#on rajoute les missions possibles de ce groupe (déjà pré-tronquée) à la liste de sous-missions globales
sub_missions_array.append(group_missions[:(nb_human_groups+nb_enemy_groups)])
return sub_missions_array
from species import Species
from Plateau import PlateauDeJeu
from group import Group
from actions_generator import enumerate_possible_actions
plateau = PlateauDeJeu(10, 5)
myGroup = Group(4,4,1,Species.werewolf)
plateau.addGroup(2,2,4,Species.human)
plateau.addGroup(9,0,2,Species.human)
plateau.addGroup(9,2,1, Species.human)
plateau.addGroup(9,4,2, Species.human)
plateau.addGroup(1,3,4,Species.vampire)
plateau.addThisGroup(myGroup)
plateau.print_plateau()
print("Enumeration actions ...\n")
actions = enumerate_possible_actions(plateau, myGroup, Species.werewolf)
for actionSimple in actions[0]:
action_type = actionSimple.action_type
assigned = actionSimple.assignedGroup
target = actionSimple.target_group
print("Action de type " + str(action_type) + " : " + str(assigned) + " vers " + str(target) + ", note : " + str(actionSimple.calc_mark(plateau)))
for twoActions in actions[1]:
group0 = twoActions[0].assignedGroup
group1 = twoActions[1].assignedGroup
print("split " + str(group0.eff) + ", " + str(group1.eff))
print(" " + str(twoActions[0]) + " : " + str(twoActions[0].calc_mark(plateau)))
print(" " + str(twoActions[1]) + " : " + str(twoActions[1].calc_mark(plateau)))
