def get_training_instance()

in data_loaders.py [0:0]

• 12 lines of code
• 3 McCabe index (conditional complexity)

	def get_training_instance(self):
		# select an object and and a principle grasp randomly
		class_choice = random.choice(self.classes_names)
		object_choice = random.choice(class_choice)
		obj, obj_class = object_choice
		# select the remaining grasps and shuffle the select grasps
		num_choices = [0, 1, 2, 3, 4]
		nums = []
		for i in range(self.args.num_grasps):
			choice = random.choice(num_choices)
			nums.append(choice)
			del (num_choices[num_choices.index(choice)])
		random.shuffle(nums)
		return obj, obj_class, nums[-1], nums