all_AI_weights[pid - 1] = dmp["AI_weights"][0:TO + 1]
all_AI_preds[pid - 1] = dmp["AI_preds"][0:TO + 1]
ans_soc_skils[pid - 1], ans_rout[pid - 1], ans_switch[pid - 1], ans_imag[
pid - 1], ans_fact_pat[pid - 1] = _rt.AQ28ans(
"/Users/arai/Sites/taisen/DATA/%(data)s/%(date)s/%(pID)s/AQ29.txt"
% {
"date": partIDs[pid - 1][0:8],
"pID": partIDs[pid - 1],
"data": data
})
AQ28scrs[pid - 1], soc_skils[pid - 1], rout[pid - 1], switch[
pid - 1], imag[pid - 1], fact_pat[pid - 1] = _rt.AQ28(
"/Users/arai/Sites/taisen/DATA/%(data)s/%(date)s/%(pID)s/AQ29.txt"
% {
"date": partIDs[pid - 1][0:8],
"pID": partIDs[pid - 1],
"data": data
})
ages[pid - 1], gens[pid - 1], Engs[pid - 1] = _rt.Demo(
"/Users/arai/Sites/taisen/DATA/%(data)s/%(date)s/%(pID)s/DQ1.txt" % {
"date": partIDs[pid - 1][0:8],
"pID": partIDs[pid - 1],
"data": data
})
hdcol = 0
hnd_dat_all[pid - 1] = _hnd_dat[0:TO]
nR = len(_N.where(_hnd_dat[:, hdcol] == 1)[0])
soc_skils = _N.empty(len(partIDs))
rout = _N.empty(len(partIDs))
switch = _N.empty(len(partIDs))
imag = _N.empty(len(partIDs))
fact_pat = _N.empty(len(partIDs))
#
the_cnstrs = ["FixedSequence(__moRSP__, [1, 1, 2, 1, 3, 1, 1, 1, 1, 3, 1, 1, 2, 1, 1, 1, 1, 1, 1, 3, 1, 1, 2, 1, 1, 3, 1, 2, 1, 1, 2, 1, 1, 1, 3, 1, 1, 1, 1, 1]);",
"FixedSequence(__moRSP__, [3, 1, 2, 3, 2, 1, 2, 3, 3, 1, 1, 1, 2, 1, 3, 3, 2, 1, 2, 3, 3, 1, 2, 1, 2, 1, 3, 2, 2, 3, 2, 1, 3, 3, 2, 2, 3, 1, 3, 1]);",
"Mimic(__moRSP__, 0, 0.2);",
"WTL(__moRSP__, [0.05, 0.85, 0.1], [1/3, 1/3, 1/3], [1/3, 1/3, 1/3], false);"]
pid = 0
for partID in partIDs:
pid += 1
AQ28scrs[pid-1], soc_skils[pid-1], rout[pid-1], switch[pid-1], imag[pid-1], fact_pat[pid-1] = _rt.AQ28("/Users/arai/Sites/taisen/DATA/TMB1/%(date)s/%(pID)s/AQ29.txt" % {"date" : partIDs[pid-1][0:8], "pID" : partIDs[pid-1]})
frmgm = 20
for blk in range(4): # the blocks here are relative to 'the_cnstrs'
pid = 0
for partID in partIDs:
pid += 1
print("partID %s" % partID)
_hnd_dat, start_time, end_time, UA, cnstr = _rt.return_hnd_dat(partID, has_useragent=True, has_start_and_end_times=True, has_constructor=True, visit=1, expt="TMB1", block=(blk+1))
ind = the_cnstrs.index(cnstr)
netwins[ind, pid-1] = _N.sum(_hnd_dat[frmgm:, 2])
############# HP wins case
wins = _N.where(_hnd_dat[frmgm:-1, 2] == 1)[0]+frmgm # HP wins
ww = _N.where(_hnd_dat[wins+1, 2] == 1)[0]
td, start_time, end_time, UA, cnstr = _rt.return_hnd_dat(
partID,
has_useragent=True,
has_start_and_end_times=True,
has_constructor=True,
visit=1,
expt=data,
block=1)
td_all[di] = td
AQ28scrs[di], soc_skils[di], rout[di], switch[di], imag[di], fact_pat[
di] = _rt.AQ28(
"/Users/arai/Sites/taisen/DATA/%(data)s/%(date)s/%(pID)s/AQ29.txt"
% {
"date": partID[0:8],
"pID": partID,
"data": data
})
netwins[di] = _N.sum(td[:, 2]) # / td.shape[0]
# First find all the win conditions
# _W followed by a win
#ic = -1
for ic in range(3): #condition in range(3):
#ic += 1
rep_cntr_noncntr, s_rep_cntr_noncntr = getTargetCR_cntrmvs(ic)