import math
import consts
from exercises.accuracy_model import AccuracyModel
MIN_STREAK_TILL_PROFICIENCY = AccuracyModel.min_streak_till_threshold(
consts.PROFICIENCY_ACCURACY_THRESHOLD)
# user_exercise is a user_exercise object
# suggested and proficient are both bools
#
# offset is used to derive a point value for the nth + offset problem
# (i.e. to get the current or last point value)
#
# with offset = 0, ExercisePointCalculator yields the point value for
# the *next* correct exercise.
#
# with offset = -1, ExercisePointCalculator yields the point value for
# the last correct exercise.
def ExercisePointCalculator(user_exercise, topic_mode, suggested, proficient,
offset=0):
points = 0
required_streak = MIN_STREAK_TILL_PROFICIENCY
degrade_threshold = (required_streak
+ consts.DEGRADING_EXERCISES_AFTER_PROFICIENCY)
if user_exercise.longest_streak + offset <= required_streak:
# Have never hit a streak, higher base than normal
points = consts.INCOMPLETE_EXERCISE_POINTS_BASE
def sim(self, str_sequence):
gen = TestSequenceFunctions.to_bool_generator(str_sequence)
return AccuracyModel.simulate(gen)
def model_from_str(str_sequence):
model = AccuracyModel()
model.update(TestSequenceFunctions.to_bool_generator(str_sequence))
return model
def sim(self, str_sequence):
gen = TestSequenceFunctions.to_bool_generator(str_sequence)
return AccuracyModel.simulate(gen)
def model_from_str(str_sequence):
model = AccuracyModel()
model.update(TestSequenceFunctions.to_bool_generator(str_sequence))
return model
import math
import consts
from exercises.accuracy_model import AccuracyModel
MIN_STREAK_TILL_PROFICIENCY = AccuracyModel.min_streak_till_threshold(
consts.PROFICIENCY_ACCURACY_THRESHOLD)
# user_exercise is a user_exercise object
# suggested and proficient are both bools
#
# offset is used to derive a point value for the nth + offset problem
# (i.e. to get the current or last point value)
#
# with offset = 0, ExercisePointCalculator yields the point value for
# the *next* correct exercise.
#
# with offset = -1, ExercisePointCalculator yields the point value for
# the last correct exercise.
def ExercisePointCalculator(user_exercise,
topic_mode,
suggested,
proficient,
offset=0):
points = 0
required_streak = MIN_STREAK_TILL_PROFICIENCY
degrade_threshold = (required_streak +
consts.DEGRADING_EXERCISES_AFTER_PROFICIENCY)
