def getOriginalObservedLoad(Result, unit, approachName):
'''
This method used to get the orginial observed load, without perform RLC approach.
Result, int, str => [[int, int, ]]
'''
requests = list(Result[0])
# get the start observed result
ideal_type_load = modify_ideal_load(Result[1][-1], unit)
initialResult = initialSituation(ideal_type_load, requests, unit, approachName)
original_observed_load = initialResult[1] # get the observed load without random approach
original_loads = [original_observed_load]
return original_loads
def main():
## input information
folder_name = 'Experiment2_1'
input_type = 'ideal_shiftable_load'
unit = 5
approach_name = 'profile_load'
random_flag = True
Result = ReadCSV(folder_name, input_type) # read requests information from input csv file
requests = Result[0]
ideal_type_load = modify_ideal_load(Result[1][-1], unit)
initialResult = initialSituation(ideal_type_load, requests, unit, approach_name)
original_observed_load = initialResult[1] # get the observed load without random approach
original_loads = [original_observed_load]
random_observed_load = calcRandLoad(Result, unit, approach_name) # get observed load
## get output relative parameters
random_observed_loads = [random_observed_load]
write_output(ideal_type_load, original_loads, random_observed_loads, folder_name, input_type, random_flag) # output results
print 'Job Done.'
