valfunc = lambda x,y,z: -x/y*z/(z**2+((2*math.pi/24*sigmaterm)**2)/3)
elif op == "O012":
valfunc = lambda x,y,z: -x/y/((2*math.pi/24*sigmaterm)**2)
elif op == "O0ii":
valfunc = lambda x,y,z: -x/y*2/((2*math.pi/24*sigmaterm)**2)
print runr.getopcf(op,sigma)+","+runr.getopcf("x",sigma)+","+destdir+","+str(latT)+","+str(numBstraps)+","+str(doasym)
a.calcplatval(runr.getopcf(op,sigma),runr.getopcf("x",sigma),destdir,latT,numBstraps,valfunc,wpe)
elif task == "autocorr_bstrap":
data = a.readcor(runr.getopcf(op,sigma),latT)
if runr.istrue("wpe"):
data = a.sym_wope(data)
else:
data = a.sym(data)
errors = a.autocorr_bstrap(data,int(taskr.rparam("start")),int(taskr.rparam("end")),numBstraps)
a.plotautocorr_bstrap(errors,os.path.join(destdir,"autocorr_bstrap.pdf"))
elif task == "mwerr":
data = a.readcor(runr.getopcf(op,sigma),latT)
if runr.istrue("wpe"):
data = a.sym_wope(data)
data = data[:,1:len(data[0])-1]
else:
data = a.sym(data)
databstraps = a.boot(data,numBstraps)
sys.path.insert(0,parentdir)
import a
sigma = int(sys.argv[1])
print "sigma "+str(sigma)
a.ensure_dir("/hiskp2/oehm/correlators/momentum/A40.24/O012/analysis/sigma"+str(sigma)+"/")
numBootstraps = 1500
O012 = a.readcor("/hiskp2/oehm/correlators/momentum/A40.24/O012/sigma"+str(sigma)+"/O012_sigma"+str(sigma),48)
xn = a.readcor("/hiskp2/oehm/correlators/momentum/A40.24/x/sigma"+str(sigma)+"/x"+str(sigma),48)
O012 = a.asym(O012)
xn = a.sym(xn)
O012_bstraps = a.boot(O012,numBootstraps)
O012_bstraps_mean = np.mean(O012_bstraps,axis=0)
xn_bstraps = a.boot(xn,numBootstraps)
xn_bstraps_mean = np.mean(xn_bstraps,axis=0)
xn_result = np.zeros((21,numBootstraps,4))
effmass, effmass_error, effmass_nans = a.effmass(xn_bstraps)
print effmass
xnfunc = lambda p,x: p[0]*(np.exp(-x*p[1])+np.exp(-(48-x)*p[1]))
O012_func = lambda p,x: p[0]
tt = []
if not os.path.exists(d):
os.makedirs(d)
numBootstraps = 1500
lattice = sys.argv[1]
print "destdir: "+"/hiskp2/oehm/averx/analysis/"+lattice+"/"
T = int(sys.argv[2])
print "T: "+str(T)
ensure_dir("/hiskp2/oehm/averx/analysis/"+lattice+"/")
O44 = a.readcor("/hiskp2/oehm/averx/"+lattice+"/maxmomf2e",T)
xn = a.readcor("/hiskp2/oehm/averx/"+lattice+"/maxppcor",T)
O44 = a.sym(O44)
xn = a.sym(xn)
O44_bstraps = a.boot(O44,numBootstraps)
O44_bstraps_mean = np.mean(O44_bstraps,axis=0)
xn_bstraps = a.boot(xn,numBootstraps)
xn_bstraps_mean = np.mean(xn_bstraps,axis=0)
xn_result = np.zeros((T/2+1-4,numBootstraps,4))
effmass, effmass_error, effmass_nans = a.effmass(xn_bstraps)
print effmass
xnfunc = lambda p,x: p[0]*(np.exp(-x*p[1])+np.exp(-(T-x)*p[1]))
O44_func = lambda p,x: p[0]
