def get_result(self, problem, pr_number, skillName, use_hints=True):
effects = self.get_prereq_effects(skillName)
problem = 1 - problem
knowledge_p = self.knowledge + effects[0]
# knowledge_p = problem + effects[0]
speed_p = self.speed + effects[1]
hint_p = self.hint + effects[2]
# print [knowledge_p, self.knowledge_std]
answer = du.clamp(np.random.normal(knowledge_p, self.knowledge_std), 0,
1)
pr_hint = hint_p / pr_number
hint = int(du.diceRoll(1000) < (pr_hint * 1000))
cor = 0
if answer > problem:
answer = du.clamp(np.random.normal(0.9, self.knowledge_std), 0, 1)
else:
answer *= ((0.3 - (problem - 0.3)) / 0.3)
cor = int(
du.diceRoll(1000) < answer * 1000) * (1 - (hint * int(use_hints)))
time = du.clamp(np.random.normal(speed_p, self.speed_std), 0,
10000) * problem
time += du.MAX(
0,
np.random.normal(Student.hint_time_offset,
Student.hint_time_offset_std)) * hint
return [cor, time, hint]
def get_speed_effect(self):
return du.MAX(
np.random.normal(self.speed_effect, self.speed_effect_std), 0)
def get_hint_effect(self):
return du.MAX(np.random.normal(self.hint_effect, self.hint_effect_std),
0)
def get_knowledge_effect(self):
return du.MAX(
np.random.normal(self.knowledge_effect, self.knowledge_effect_std),
0)