import sys
sys.path.insert(0, '..')
import models.model as model
import re

def main():
	modelName='KantoGAModel'
	year=2005
	region = 'Kanto'
	for executionNumber in range(10):
		model_ = model.loadModelDB('KantoGAModel', year, executionNumber)
		with open("dataConvervency4R"+"_"+str(region)+"_"+str(executionNumber)+"_"+str(year), 'w') as f:
			f.write(str(model_.logbook))
			f.write("\n")



if __name__ == "__main__":
    main()

0138f6f2e1b95bc0cfe945ca0a9d097c7a5e9c19
<mask token>

<mask token>


def main():
    modelName = 'KantoGAModel'
    year = 2005
    region = 'Kanto'
    for executionNumber in range(10):
        model_ = model.loadModelDB('KantoGAModel', year, executionNumber)
        with open('dataConvervency4R' + '_' + str(region) + '_' + str(
            executionNumber) + '_' + str(year), 'w') as f:
            f.write(str(model_.logbook))
            f.write('\n')


<mask token>

<mask token>
sys.path.insert(0, '..')
<mask token>


def main():
    modelName = 'KantoGAModel'
    year = 2005
    region = 'Kanto'
    for executionNumber in range(10):
        model_ = model.loadModelDB('KantoGAModel', year, executionNumber)
        with open('dataConvervency4R' + '_' + str(region) + '_' + str(
            executionNumber) + '_' + str(year), 'w') as f:
            f.write(str(model_.logbook))
            f.write('\n')


if __name__ == '__main__':
    main()

import sys
sys.path.insert(0, '..')
import models.model as model
import re


def main():
    modelName = 'KantoGAModel'
    year = 2005
    region = 'Kanto'
    for executionNumber in range(10):
        model_ = model.loadModelDB('KantoGAModel', year, executionNumber)
        with open('dataConvervency4R' + '_' + str(region) + '_' + str(
            executionNumber) + '_' + str(year), 'w') as f:
            f.write(str(model_.logbook))
            f.write('\n')


if __name__ == '__main__':
    main()

import sys
sys.path.insert(0, '..')
import models.model as model
import re

def main():
	modelName='KantoGAModel'
	year=2005
	region = 'Kanto'
	for executionNumber in range(10):
		model_ = model.loadModelDB('KantoGAModel', year, executionNumber)
		with open("dataConvervency4R"+"_"+str(region)+"_"+str(executionNumber)+"_"+str(year), 'w') as f:
			f.write(str(model_.logbook))
			f.write("\n")



if __name__ == "__main__":
    main()
