def test_calculate_weighted_value_topic_value_nonnegative():
weighting = 0.5
study_guide_value = 1.
topic_value = -1.
try:
algorithm.calculate_weighted_value(weighting, study_guide_value,
topic_value)
assert False
except Exception as error:
assert error.__class__.__name__ == 'ValueError'
assert str(
error) == f"{topic_value} < 0 : topic_value should be non-negative"
def test_calculate_weighted_value_weighting_is_float():
weighting = 1
study_guide_value = 1.
topic_value = 1.
try:
algorithm.calculate_weighted_value(weighting, study_guide_value,
topic_value)
assert False
except Exception as error:
assert error.__class__.__name__ == 'TypeError'
assert str(
error
) == f"weighting should be a float, a {weighting.__class__.__name__} was provided"
def test_calculate_weighted_value_weighting_in_range_0_to_1():
weighting = 5.
study_guide_value = 1.
topic_value = 1.
try:
algorithm.calculate_weighted_value(weighting, study_guide_value,
topic_value)
assert False
except Exception as error:
assert error.__class__.__name__ == 'ValueError'
assert str(
error
) == f"unexpected value encountered - weighted_score should be in the interval [0, 1]"
def test_calculate_weighted_value_study_guide_value_lt_topic_value():
weighting = 0.5
study_guide_value = 2.
topic_value = 1.
try:
algorithm.calculate_weighted_value(weighting, study_guide_value,
topic_value)
assert False
except Exception as error:
assert error.__class__.__name__ == 'ValueError'
assert str(
error
) == f"{study_guide_value} > {topic_value} : study_guide_value should be less than or equal to topic_value"
def test_calculate_study_guide_weighting_passes_into_calculate_weighted_value():
study_guide_score = 0.
study_guide_attempts = 100.
topic_score = 100.
topic_attempts = 100.
study_guide_weighting = algorithm.calculate_study_guide_weighting(
study_guide_score, study_guide_attempts, topic_score, topic_attempts)
try:
algorithm.calculate_weighted_value(
study_guide_weighting, study_guide_score, topic_score)
assert True
except:
assert False
def test_calculate_weighted_value_is_study_guidewhen_weighting_is_1():
weighting = 1.
study_guide_value = 1.
topic_value = 2.
weighted_value = \
algorithm.calculate_weighted_value(
weighting, study_guide_value, topic_value)
assert weighted_value == study_guide_value
def test_calculate_weighted_value_between_study_guide_and_topic_value():
weighting = 0.5
study_guide_value = 1.
topic_value = 2.
weighted_value = \
algorithm.calculate_weighted_value(
weighting, study_guide_value, topic_value)
assert weighted_value >= study_guide_value
assert weighted_value <= topic_value
def _add_weighted_score_and_attempts(
study_guide_score_and_attempts, topic_score_and_attempts,
study_guide_id_list, topic_id_for_study_guide_id):
for study_guide_id in study_guide_id_list:
topic_id = topic_id_for_study_guide_id[study_guide_id]
topic_score = topic_score_and_attempts[topic_id]['score']
topic_attempts = topic_score_and_attempts[topic_id]['attempts']
study_guide_score = study_guide_score_and_attempts[study_guide_id]['score']
study_guide_attempts = study_guide_score_and_attempts[study_guide_id]['attempts']
study_guide_weighting = algorithm.calculate_study_guide_weighting(
study_guide_score, study_guide_attempts, topic_score, topic_attempts)
study_guide_score_and_attempts[study_guide_id]['weighted_score'] = \
algorithm.calculate_weighted_value(
study_guide_weighting, study_guide_score, topic_score)
study_guide_score_and_attempts[study_guide_id]['weighted_attempts'] = \
algorithm.calculate_weighted_value(
study_guide_weighting, study_guide_attempts, topic_attempts)
def test_calculate_weighted_value_returns_float():
weighted_value = \
algorithm.calculate_weighted_value(0.5, 1., 2.)
assert isinstance(weighted_value, float)