def rerunExperimentFromLogfile(logFilename):
"""
Create an experiment class according to the sequence of operations in
logFile and return resulting experiment instance. The log file is created
by setting the 'logCalls' constructor parameter to True
"""
callLog = LoggingDecorator.load(logFilename)
# Assume first one is call to constructor
exp = L246aNetwork(*callLog[0][1]["args"], **callLog[0][1]["kwargs"])
# Call subsequent methods, using stored parameters
for call in callLog[1:]:
method = getattr(exp, call[0])
method(*call[1]["args"], **call[1]["kwargs"])
return exp
def rerunExperimentFromLogfile(logFilename):
"""
Create an experiment class according to the sequence of operations in logFile
and return resulting experiment instance.
"""
callLog = LoggingDecorator.load(logFilename)
# Assume first one is call to constructor
exp = L2456Model(*callLog[0][1]["args"], **callLog[0][1]["kwargs"])
# Call subsequent methods, using stored parameters
for call in callLog[1:]:
method = getattr(exp, call[0])
method(*call[1]["args"], **call[1]["kwargs"])
return exp
def createExperiment(logFilename):
# Typically this would be done by Thing
exp = L4L2Experiment("shared_features", logCalls=True)
exp.learnObjects(thingObjects)
LoggingDecorator.save(exp.callLog, logFilename)
{
0: getObjectPair("Cube", 2)
},
]
exp.infer(sensationList, reset=False)
print "Output for cube:", exp.getL2Representations()
print "Intersection with sphere:", len(exp.getL2Representations()[0]
& L2Representations["Sphere"][0])
print "Intersection with Capsule:", len(exp.getL2Representations()[0]
& L2Representations["Capsule"][0])
print "Intersection with cube:", len(exp.getL2Representations()[0]
& L2Representations["Cube"][0])
exp.sendReset()
if __name__ == "__main__":
# Mimic thing, which will create a log file
createExperiment("callLog.pkl")
# Print out the log
print "\n========== CALL LOG ==============="
for call in LoggingDecorator.load("callLog.pkl"):
print call
print
print "=====================================\n"
# Recreate class from log and debug experiment
debugExperiment("callLog.pkl")
def createExperiment(logFilename):
# Typically this would be done by Thing
exp = L4L2Experiment("shared_features", logCalls=True)
exp.learnObjects(thingObjects)
LoggingDecorator.save(exp.callLog, logFilename)
]
exp.infer(sensationList, reset= False)
print "Output for cube:", exp.getL2Representations()
print "Intersection with sphere:", len(
exp.getL2Representations()[0] & L2Representations["Sphere"][0])
print "Intersection with Capsule:", len(
exp.getL2Representations()[0] & L2Representations["Capsule"][0])
print "Intersection with cube:", len(
exp.getL2Representations()[0] & L2Representations["Cube"][0])
exp.sendReset()
if __name__ == "__main__":
# Mimic thing, which will create a log file
createExperiment("callLog.pkl")
# Print out the log
print "\n========== CALL LOG ==============="
for call in LoggingDecorator.load("callLog.pkl"):
print call
print
print "=====================================\n"
# Recreate class from log and debug experiment
debugExperiment("callLog.pkl")
