if data == "TMB2":
dates = _rt.date_range(start='7/13/2021', end='10/30/2021')
#dates = _rt.date_range(start='7/13/2021', end='07/27/2021')
#dates = _rt.date_range(start='7/27/2021', end='08/20/2021')
#dates = _rt.date_range(start='07/27/2021', end='08/20/2021')
#dates = _rt.date_range(start='07/13/2021', end='07/27/2021')
#partIDs, dats, cnstrs = _rt.filterRPSdats(data, dates, visits=[1], domainQ=_rt._TRUE_AND_FALSE_, demographic=_rt._TRUE_AND_FALSE_, mentalState=_rt._TRUE_AND_FALSE_, minIGI=800, MinWinLossRat=0.7, has_useragent=True, has_start_and_end_times=True, has_constructor=True, blocks=1)
#partIDs, dats, cnstrs = _rt.filterRPSdats(data, dates, visits=[1], domainQ=_rt._TRUE_ONLY_, demographic=_rt._TRUE_AND_FALSE_, mentalState=_rt._TRUE_AND_FALSE_, minIGI=800, MinWinLossRat=0.7, has_useragent=True, has_start_and_end_times=True, has_constructor=True, blocks=1)
partIDs, dats, cnstrs = _rt.filterRPSdats(
data,
dates,
visits=[1],
domainQ=(_rt._TRUE_ONLY_ if look_at_AQ else _rt._TRUE_AND_FALSE_),
demographic=_rt._TRUE_AND_FALSE_,
mentalState=_rt._TRUE_AND_FALSE_,
minIGI=50,
maxIGI=30000,
MinWinLossRat=0.7,
has_useragent=True,
has_start_and_end_times=True,
has_constructor=True,
blocks=1)
# MinWinLossRat=0.3 ==> net loss of -60 included. Saw player like this
# at Neurable. It is not an unreasonable
#partIDs, dats, cnstrs = _rt.filterRPSdats(data, dates, visits=[1], domainQ=(_rt._TRUE_ONLY_ if look_at_AQ else _rt._TRUE_AND_FALSE_), demographic=_rt._TRUE_AND_FALSE_, mentalState=_rt._TRUE_AND_FALSE_, minIGI=5, maxIGI=800, MinWinLossRat=0.05, has_useragent=True, has_start_and_end_times=True, has_constructor=True, blocks=1)
A1 = []
show_shuffled = False
process_keyval_args(globals(), sys.argv[1:])
#######################################################
# (12)
# (13)
# possible 2-patterns
#
oldnew = "new"
if oldnew == "old":
dates = _rt.date_range(start='7/13/2021', end='08/17/2021')
elif oldnew == "new":
dates = _rt.date_range(start='08/18/2021', end='10/30/2021')
partIDs, dats, cnstrs = _rt.filterRPSdats("TMB1", dates, visits=[1], domainQ=_rt._TRUE_ONLY_, demographic=_rt._TRUE_AND_FALSE_, mentalState=_rt._TRUE_AND_FALSE_, minIGI=300, maxIGI=30000, MinWinLossRat=0., has_useragent=True, has_start_and_end_times=True, has_constructor=True, blocks=4)
pid = 0
netwins = _N.empty((4, len(partIDs)))
win_aft_win = _N.empty((4, len(partIDs)))
win_aft_los = _N.empty((4, len(partIDs)))
win_aft_tie = _N.empty((4, len(partIDs)))
netwin_aft_win = _N.empty((4, len(partIDs)))
netwin_aft_los = _N.empty((4, len(partIDs)))
netwin_aft_tie = _N.empty((4, len(partIDs)))
tie_aft_win = _N.empty((4, len(partIDs)))
tie_aft_los = _N.empty((4, len(partIDs)))
tie_aft_tie = _N.empty((4, len(partIDs)))
los_aft_win = _N.empty((4, len(partIDs)))
los_aft_los = _N.empty((4, len(partIDs)))
shr = shr.rjust(2, '0')
smn = "%d" % mn
smn = smn.rjust(2, '0')
if os.access("%(fld)s/%(dt)s_%(hr)s%(mn)s-00" % {"dt" : syr, "hr" : shr, "mn" : smn, "fld" : flder}, os.F_OK):
print("Destination %(fld)s/%(dt)s_%(hr)s%(mn)s-00 exists." % {"dt" : syr, "hr" : shr, "mn" : smn, "fld" : flder})
#print("%(fld)s/%(pIDdir)s" % {"fld" : flder, "pIDdir" : pIDdir})
os.rename("%(fld)s/%(pIDdir)s" % {"fld" : flder, "pIDdir" : pIDdir}, "%(fld)s/%(dt)s_%(hr)s%(mn)s-00" % {"dt" : syr, "hr" : shr, "mn" : smn, "fld" : flder})
mn += 5
if mn > 55:
mn = 0
hr += 1
# now go to read_taisen.py
if expt == "TMB1":
fns, dats, cnstrctrs = _rt.filterRPSdats(expt, dates, visits=[1], domainQ=_rt._TRUE_AND_FALSE_, demographic=_rt._TRUE_AND_FALSE_, mentalState=_rt._TRUE_AND_FALSE_, minIGI=20, maxIGI=90000, MinWinLossRat=0, has_useragent=True, has_start_and_end_times=True, has_constructor=True, blocks=4)
else:
# visits=[1, 2] for reliability
# visits=[1, ] for biomark
fns, dats, cnstrs = _rt.filterRPSdats(expt, dates, visits=[1, ], domainQ=(_rt._TRUE_AND_FALSE_), demographic=_rt._TRUE_AND_FALSE_, mentalState=_rt._TRUE_AND_FALSE_, min_meanIGI=300, max_meanIGI=20000, minIGI=10, maxIGI=30000, MinWinLossRat=0., has_useragent=True, has_start_and_end_times=True, has_constructor=True, blocks=1)
#fns, dats, cnstrctrs = _rt.filterRPSdats(expt, dates, visits=[1, ], domainQ=_rt._TRUE_AND_FALSE_, demographic=_rt._TRUE_AND_FALSE_, mentalState=_rt._TRUE_AND_FALSE_, minIGI=20, maxIGI=90000, MinWinLossRat=0, has_useragent=True, has_start_and_end_times=True, has_constructor=True, blocks=1)
fp = open("%sfns.txt" % expt, "w")
for fn in fns:
fp.write("%s\n" % fn)
fp.close()
print("Wrote %sfns.txt" % expt)
if expt == "TMB2":
