import os
import time
import numpy as np
from multiprocessing import Pool
import os
fileplace = 'BarlowWork_LSI_STOOL/Data/'
permu = 500
lp = 5
up = 95
minimum_taxa_detection_num = 3
control = 'Control'
treat = 'Keto'
import pandas as pd
predix = 'LSI'
cmdStr = 'python qmd_dataPreprocessingJacob.py' + ' ' + fileplace + ' ' + str(
    permu) + ' ' + str(lp) + ' ' + str(up) + ' ' + str(
    minimum_taxa_detection_num) + ' ' + str(predix
    ) + ' ' + control + ' ' + treat
os.system(cmdStr)
cmdStr = 'python qmd_optimizationJacob.py' + ' ' + fileplace + ' ' + str(permu
    ) + ' ' + str(lp) + ' ' + str(up) + ' ' + str(predix
    ) + ' ' + control + ' ' + treat
os.system(cmdStr)
fileplace = 'JacobWork/Data/'
permu = 500
lp = 5
up = 95
minimum_taxa_detection_num = 3
control = 'Control'
treat = 'Keto'
import pandas as pd
predix = 'STOOL'
cmdStr = 'python qmd_dataPreprocessingJacob.py' + ' ' + fileplace + ' ' + str(
    permu) + ' ' + str(lp) + ' ' + str(up) + ' ' + str(
    minimum_taxa_detection_num) + ' ' + str(predix
    ) + ' ' + control + ' ' + treat
os.system(cmdStr)
cmdStr = 'python qmd_optimizationJacob.py' + ' ' + fileplace + ' ' + str(permu
    ) + ' ' + str(lp) + ' ' + str(up) + ' ' + str(predix
    ) + ' ' + control + ' ' + treat
os.system(cmdStr)

94caaa7d1a1a9b349f4ad843f506e0ee428ac368
<mask token>

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os.system(cmdStr)
<mask token>
os.system(cmdStr)
<mask token>
os.system(cmdStr)
<mask token>
os.system(cmdStr)

<mask token>
fileplace = 'BarlowWork_LSI_STOOL/Data/'
permu = 500
lp = 5
up = 95
minimum_taxa_detection_num = 3
control = 'Control'
treat = 'Keto'
<mask token>
predix = 'LSI'
cmdStr = 'python qmd_dataPreprocessingJacob.py' + ' ' + fileplace + ' ' + str(
    permu) + ' ' + str(lp) + ' ' + str(up) + ' ' + str(
    minimum_taxa_detection_num) + ' ' + str(predix
    ) + ' ' + control + ' ' + treat
os.system(cmdStr)
cmdStr = 'python qmd_optimizationJacob.py' + ' ' + fileplace + ' ' + str(permu
    ) + ' ' + str(lp) + ' ' + str(up) + ' ' + str(predix
    ) + ' ' + control + ' ' + treat
os.system(cmdStr)
fileplace = 'JacobWork/Data/'
permu = 500
lp = 5
up = 95
minimum_taxa_detection_num = 3
control = 'Control'
treat = 'Keto'
<mask token>
predix = 'STOOL'
cmdStr = 'python qmd_dataPreprocessingJacob.py' + ' ' + fileplace + ' ' + str(
    permu) + ' ' + str(lp) + ' ' + str(up) + ' ' + str(
    minimum_taxa_detection_num) + ' ' + str(predix
    ) + ' ' + control + ' ' + treat
os.system(cmdStr)
cmdStr = 'python qmd_optimizationJacob.py' + ' ' + fileplace + ' ' + str(permu
    ) + ' ' + str(lp) + ' ' + str(up) + ' ' + str(predix
    ) + ' ' + control + ' ' + treat
os.system(cmdStr)

import os
import time
import numpy as np
from multiprocessing import Pool
import os
fileplace = 'BarlowWork_LSI_STOOL/Data/'
permu = 500
lp = 5
up = 95
minimum_taxa_detection_num = 3
control = 'Control'
treat = 'Keto'
import pandas as pd
predix = 'LSI'
cmdStr = 'python qmd_dataPreprocessingJacob.py' + ' ' + fileplace + ' ' + str(
    permu) + ' ' + str(lp) + ' ' + str(up) + ' ' + str(
    minimum_taxa_detection_num) + ' ' + str(predix
    ) + ' ' + control + ' ' + treat
os.system(cmdStr)
cmdStr = 'python qmd_optimizationJacob.py' + ' ' + fileplace + ' ' + str(permu
    ) + ' ' + str(lp) + ' ' + str(up) + ' ' + str(predix
    ) + ' ' + control + ' ' + treat
os.system(cmdStr)
fileplace = 'JacobWork/Data/'
permu = 500
lp = 5
up = 95
minimum_taxa_detection_num = 3
control = 'Control'
treat = 'Keto'
import pandas as pd
predix = 'STOOL'
cmdStr = 'python qmd_dataPreprocessingJacob.py' + ' ' + fileplace + ' ' + str(
    permu) + ' ' + str(lp) + ' ' + str(up) + ' ' + str(
    minimum_taxa_detection_num) + ' ' + str(predix
    ) + ' ' + control + ' ' + treat
os.system(cmdStr)
cmdStr = 'python qmd_optimizationJacob.py' + ' ' + fileplace + ' ' + str(permu
    ) + ' ' + str(lp) + ' ' + str(up) + ' ' + str(predix
    ) + ' ' + control + ' ' + treat
os.system(cmdStr)
