def validate_sensor_make_cases():
# [ Recog, Stem1, Stem2, binding_ratio, maxunknownpercent, numfoldrange, maxenergy, expected ]
tests = [
["ATTA", "CGA", "TCC", (0.9, 1.1), 0.2, (2, 4), -1.3, False],
["ATTA", "CCC", "CGC", (0.9, 1.1), 0.2, (2, 4), -10, False],
["ATTA", "CCC", "CGC", (0.6, 0.7), 0.2, (2, 4), None, True],
["ATTA", "GCG", "CCC", (0.9, 1.1), 0.2, None, None, False],
["ATTA", "TCA", "CC", (0.2, 0.8), 0.2, None, 0, True],
["ATTAGC", "TCCA", "CCCC", (0.9, 1.1), 0.2, None, None, False],
]
for test in tests:
sensor = util.Sensor(test[0])
sensor.SetStem1(test[1])
sensor.SetStem2(test[2])
test_file = test_dir + "validate_sensor/" + str(sensor)
tosave = open(test_file, "w")
folds = unafold.parse_ct(unafold.run_hybrid_ss_min(sensor))
scores = unafold.score_sensor(sensor, folds)
pickle.dump((sensor, scores, folds, test[3], test[4], test[5], test[6], test[7]), tosave)
print ("validate_sensor_make_cases(): storing folds and scores for %s" % str(sensor))
tosave.close()
def score_sensor_make_case(sensor):
folds = unafold.parse_ct(unafold.run_hybrid_ss_min(sensor, True))
scores = unafold.score_sensor(sensor, folds)
tosave_filename = test_dir + "score_sensor/" + str(sensor)
tosave = open(tosave_filename, "w")
pickle.dump((sensor, folds, scores), tosave)
print ("score_sensor_make_case(%s): pickling %s" % (sensor, (folds, scores)))
tosave.close()
def _run_score_sensor(sensor, folds, expected_scores):
scores = unafold.score_sensor(sensor, folds)
print ("_score_sensor_test(%s): expected %s, got %s" % (sensor, expected_scores, scores))
assert scores == expected_scores