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))