def on_start(self, event):
# random assignment of object to location
self.state.learner_pos = self.get_world().state.learner_pos
pos = self.state.learner_pos
pe = self.get_world().put_entity
for i in range(0, len(dirs)):
np = pos + self.get_world().valid_directions[dirs[i]]
pe(np, objects[self.dir2obj[i]], True, True)
self.dir = random.choice(self.dir2obj)
self.obj = objects[self.dir2obj[self.dir]]
self.instructions_completed = False
self.set_message("Pick the " + self.obj + " next to you.")
obj_count = self.get_world().state.learner_inventory[self.obj]
self.add_handler(
on_state_changed(lambda ws, ts: ws.learner_inventory[self.obj] ==
obj_count + 1)(self.on_object_picked.im_func))
def on_start(self, event):
# random assignment of object to location
self.state.learner_pos = self.get_world().state.learner_pos
pos = self.state.learner_pos
pe = self.get_world().put_entity
for i in range(0, len(dirs)):
np = pos + self.get_world().valid_directions[dirs[i]]
pe(np, objects[self.dir2obj[i]], True, True)
self.dir = random.choice(self.dir2obj)
self.obj = objects[self.dir2obj[self.dir]]
self.instructions_completed = False
self.set_message("Pick the " + self.obj + " next to you.")
obj_count = self.get_world().state.learner_inventory[self.obj]
self.add_handler(
on_state_changed(
lambda ws, ts: ws.learner_inventory[self.obj] == obj_count + 1)
(self.on_object_picked.im_func)
)
def on_start(self, event):
# choose some random object
self.target_obj, = random.sample(objects, 1)
# find the cell in front of the learner
ws = self.get_world().state
ld = self.get_world().valid_directions[ws.learner_direction]
lp = ws.learner_pos
self.state.initial_count = ws.learner_inventory[self.target_obj]
# place the object there
self.get_world().put_entity(lp + ld, self.target_obj, True, True)
self.add_handler(
on_state_changed(lambda ws, ts: ws.learner_inventory[
self.target_obj] == ts.initial_count + 1)(
self.on_object_picked_up))
self.set_message("You have {indef_object} in front of you. "
"Pick up the {object}.".format(
indef_object=msg.indef_article(self.target_obj),
object=self.target_obj))
def on_start(self, event):
# choose some random object
self.target_obj, = random.sample(objects, 1)
# find the cell in front of the learner
ws = self.get_world().state
ld = self.get_world().valid_directions[ws.learner_direction]
lp = ws.learner_pos
self.state.initial_count = ws.learner_inventory[self.target_obj]
# place the object there
self.get_world().put_entity(lp + ld, self.target_obj, True, True)
self.add_handler(
on_state_changed(lambda ws, ts:
ws.learner_inventory[self.target_obj] ==
ts.initial_count + 1)
(self.on_object_picked_up))
self.set_message("You have {indef_object} in front of you. "
"Pick up the {object}.".format(
indef_object=msg.indef_article(self.target_obj),
object=self.target_obj))
def on_start(self, event):
# choose a random object
self.target_obj, = random.sample(objects, 1)
ws = self.get_world().state
# select a random number of steps
self.n = random.randint(1, PickUpInFrontTask.max_steps_forward)
# place the object that number of steps in front of the learner
p = ws.learner_pos + self.n * self.get_world().valid_directions[
ws.learner_direction]
self.state.initial_count = ws.learner_inventory[self.target_obj]
self.get_world().put_entity(p, self.target_obj, True, True)
self.add_handler(
on_state_changed(lambda ws, ts: ws.learner_inventory[
self.target_obj] == ts.initial_count + 1)(
self.on_object_picked_up))
self.set_message("There is {indef_object} {n} steps forward, "
"pick up the {object}.".format(
indef_object=msg.indef_article(self.target_obj),
n=msg.number_to_string(self.n),
object=self.target_obj))
def on_start(self, event):
# choose a random object
self.target_obj, = random.sample(objects, 1)
# find a random cell around the learner
self.direction = random.choice(
list(self.get_world().valid_directions.keys()))
ws = self.get_world().state
p = ws.learner_pos + self.get_world().valid_directions[self.direction]
self.state.initial_count = ws.learner_inventory[self.target_obj]
# place the object there
self.get_world().put_entity(p, self.target_obj, True, True)
self.add_handler(
on_state_changed(lambda ws, ts: ws.learner_inventory[
self.target_obj] == ts.initial_count + 1)(
self.on_object_picked_up))
self.set_message("There is {indef_object} {direction} from you, "
"pick up the {object}.".format(
indef_object=msg.indef_article(self.target_obj),
direction=self.direction,
object=self.target_obj))
def on_start(self, event):
# choose a random object
self.target_obj, = random.sample(objects, 1)
# find a random cell around the learner
self.direction = random.choice(list(self.get_world().valid_directions
.keys()))
ws = self.get_world().state
p = ws.learner_pos + self.get_world().valid_directions[self.direction]
self.state.initial_count = ws.learner_inventory[self.target_obj]
# place the object there
self.get_world().put_entity(p, self.target_obj, True, True)
self.add_handler(
on_state_changed(lambda ws, ts:
ws.learner_inventory[self.target_obj] ==
ts.initial_count + 1)
(self.on_object_picked_up))
self.set_message("There is {indef_object} {direction} from you, "
"pick up the {object}.".format(
indef_object=msg.indef_article(self.target_obj),
direction=self.direction,
object=self.target_obj))
def on_start(self, event):
# choose a random object
self.target_obj, = random.sample(objects, 1)
ws = self.get_world().state
# select a random number of steps
self.n = random.randint(1, PickUpInFrontTask.max_steps_forward)
# place the object that number of steps in front of the learner
p = ws.learner_pos + self.n * self.get_world().valid_directions[
ws.learner_direction]
self.state.initial_count = ws.learner_inventory[self.target_obj]
self.get_world().put_entity(p, self.target_obj, True, True)
self.add_handler(
on_state_changed(lambda ws, ts:
ws.learner_inventory[self.target_obj] ==
ts.initial_count + 1)
(self.on_object_picked_up))
self.set_message("There is {indef_object} {n} steps forward, "
"pick up the {object}."
.format(
indef_object=msg.indef_article(self.target_obj),
n=msg.number_to_string(self.n),
object=self.target_obj))
