def data_metrics_append(jsonSimscore, data, filename):
minmax = validate.findMinMax(data)
isClipApply = isClipTask(filename)
jsonSimscore.update({
#Dead Boolean
'DeadSensors' : validate.findDeadSensors(data, minmax, jsonSimscore['TaskType'], jsonSimscore['IsPractice'])
#Out of Range Boolean
,'OutOfRange' : validate.findOutOfRanges(minmax, jsonSimscore['TaskType'])
#NaN Boolean
,'NaNSensors' : validate.findNans(data, isClipApply)
#Known errors to ignore on simscore.org
,'IgnoreErrors' : validate.ignoreErrors(jsonSimscore, minmax, isClipApply)
#Max Float Min Float
,'MinMax' : nan_replace(minmax)
})
return jsonSimscore
( "edge6/2013/01/25.21.33.58.393.0.txt" , ["Rot_L," "ThG_L"] , ["ThG_L"] , [] ),
( "edge2/2013/01/09.16.06.18.378.3.txt" , ["Fg_R"] , ["Rot_L"] , [] ),
( "edge2/2012/12/03.20.12.46.109.3.txt" , ["Fg_R"] , ["Lin_R"] , [] ),
( "edge6/2013/01/25.22.30.14.312.0.txt" , ["Fg_R", "ThG_R", "Rot_R"] , ["ThG_R"] , [] )
]
# <codecell>
new_deads = []
for test in unit_files:
try:
data, meta = myS3.getData(bucket, test[0], labeled=True)
minmax = validate.findMinMax(data)
new_dead = validate.findDeadSensors(data, minmax, meta['TaskId'], meta['IsPracticeTest'])
old_dead = validate.oldFindDeadSensor(validate.findMinMax(data), isClipTask(test[0]))
#oors = validate.findOutOfRange(minmax)
print 'verifying',test[0]
print 'Dead sensors should be:', test[1]
print 'New method caught:', new_dead
print 'Old method caught:', old_dead
print
except Exception as e:
print e
print 'error in',fn
# <codecell>
'''