(USR, DRV, AOI, QNT, THS) = ('srv2', 'linkedDrive', 'HLT', '50', '0.1')
else:
(USR, DRV, AOI, QNT, THS) = sys.argv[1:]
EXPS = aux.EXPS
exp = EXPS[0]
# Setup number of cores -------------------------------------------------------
if USR=='dsk':
JOB = aux.JOB_DSK
else:
JOB = aux.JOB_SRV
###############################################################################
# Paths
###############################################################################
(drive, land) = (drv.driveSelector(DRV, AOI, popSize=aux.POP_SIZE), [[0], ])
(gene, fldr) = (drive.get('gDict'), drive.get('folder'))
(PT_ROT, PT_IMG, PT_DTA, PT_PRE, PT_OUT, PT_MTR) = aux.selectPath(USR, DRV, exp)
PT_ROT = path.split(path.split(PT_ROT)[0])[0]
PT_OUT = path.join(PT_ROT, 'ML')
[monet.makeFolder(i) for i in [PT_OUT, PT_IMG]]
PT_SUMS = path.join(PT_ROT, exp, 'SUMMARY')
###############################################################################
# Read CSV
###############################################################################
thsStr = str(int(float(THS)*100))
(fName_I, fName_R, fName_C) = (
'SCA_{}_{}Q_{}T.csv'.format(AOI, QNT, thsStr),
'REG_{}_{}Q_{}T.csv'.format(AOI, QNT, thsStr),
'CLS_{}_{}Q_{}T.csv'.format(AOI, QNT, thsStr)
)
DATA = pd.read_csv(path.join(PT_OUT, fName_I))
# Features and labels ---------------------------------------------------------
EXP = aux.EXPS
NOI = [
[0],
]
# Sex selector ----------------------------------------------------------------
if (AOI == 'HLT') or (AOI == 'CST'):
MF = (False, True)
else:
MF = (True, True)
###############################################################################
# Setting up paths and style
###############################################################################
exp = '100'
for exp in EXP:
(PT_ROT, PT_IMG, PT_DTA, PT_PRE, PT_OUT,
PT_MTR) = aux.selectPath(USR, DRV, exp)
drive = drv.driveSelector(DRV, AOI)
DVP = drive.get('gDict')
# Time and head -----------------------------------------------------------
tS = datetime.now()
aux.printExperimentHead(PT_DTA, PT_IMG, PT_PRE, tS, 'PreTraces ' + AOI)
###########################################################################
# Load folders
###########################################################################
(expDirsMean, expDirsTrac) = fun.getExpPaths(PT_DTA)
(expNum, nodeDigits) = (len(expDirsMean), len(str(len(NOI))) + 1)
outNames = fun.splitExpNames(PT_OUT)
outExpNames = set(outNames)
###########################################################################
# Analyze data
###########################################################################
import tGD_dataProcess as da
from datetime import datetime
import compress_pickle as pkl
import MoNeT_MGDrivE as monet
(USR, DRV, AOI) = ('srv', 'tGD', 'HLT')
# (USR, DRV, AOI) = (sys.argv[1], sys.argv[2], sys.argv[3])
(OVW, gIx, hIx) = (True, 1, 0)
if (USR == 'srv2') or (USR == 'dsk2'):
EXPS = ('000', )
else:
EXPS = ('100', )
for EXP in EXPS:
(PT_ROT, PT_IMG, PT_DTA, PT_PRE, PT_OUT,
PT_MTR) = aux.selectPath(USR, DRV, EXP)
uids = fun.getExperimentsIDSets(PT_PRE, skip=-1)
(hnf, cac, frc, hrt, ren, res, typ, grp) = uids[1:]
tS = datetime.now()
aux.printExperimentHead(PT_ROT, PT_IMG, PT_OUT, tS, 'PstFraction')
# #########################################################################
# Base experiments
# These are the experiments without any releases (for fractions)
# #########################################################################
basePat = aux.XP_NPAT.format('*', '*', '*', '*', '00', '*', AOI, '*',
'sum', 'bz')
baseFiles = sorted(glob(PT_PRE + basePat))
# #########################################################################
# Probe experiments
# sum: Analyzed data aggregated into one node
# srp: Garbage data aggregated into one node
