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import matplotlib
matplotlib.use('Qt4Agg')
from pylab import *
from matplotlib.colors import LogNorm
from matplotlib.colors import LinearSegmentedColormap, LogNorm, Normalize
import numpy as np
from PyQt4 import Qt, QtCore
from PyQt4.QtCore import SIGNAL, SLOT
referenceprefix ="/data/scisofttmp/mirone/TEST_PYHST/RESULTS/2018bb_corrected/2gpu/tests/"
newversionprefix ="/data/scisofttmp/mirone/TEST_PYHST/RESULTS/2018bb_corrected/1gpu_fix/tests/"
# referenceprefix="/data/scisofttmp/mirone/TEST_PYHST/RESULTS/2018bb/2gpu_bis/tests/"
# /data/scisofttmp/mirone/TEST_PYHST/RESULTS/2015d/gpu2-0102/tests"
# newversionprefix ="/data/scisofttmp/mirone/TEST_PYHST/RESULTS/2017c_final/2gpu_bis/tests/MULTIPAGANIN/"
# referenceprefix="/data/scisofttmp/mirone/TEST_PYHST/RESULTS/2015d/gpu2-0102/tests/SIRT_LENA/"
# referenceprefix ="/data/scisofttmp/mirone/TEST_PYHST/RESULTS/2017c_final/1gpu_bis/tests/MULTIPAGANIN/"
import numpy
from mpi4py import MPI
myrank = MPI.COMM_WORLD.Get_rank()
nprocs = MPI.COMM_WORLD.Get_size()
procnm = MPI.Get_processor_name()
comm = MPI.COMM_WORLD
print "MPI LOADED , nprocs = ", nprocs
def compara_vols(ref, new ):
class parInfo:
LOWBYTEFIRST=1
s = open(ref+".info").read()
s=s.replace("!","#")
exec( s )
print ref
print new
f_ref = open(ref,"r")
f_new = open(new,"r")
maxerr=-1
overerr = 0
miz=-1
nblockfl = parInfo.NUM_Z/nprocs+1
for iz in range(parInfo.NUM_Z):
if (iz/nblockfl)%nprocs != myrank:
continue
sr = f_ref.read( parInfo.NUM_X*parInfo.NUM_Y * 4 )
sn = f_new.read( parInfo.NUM_X*parInfo.NUM_Y * 4 )
r = numpy.reshape(numpy.fromstring(sr,"f"), [ parInfo.NUM_Y, parInfo.NUM_X ] )
n = numpy.reshape(numpy.fromstring(sn,"f"), [ parInfo.NUM_Y, parInfo.NUM_X ] )
err = (r-n)
err=(err*err).sum()
rsum = (r*r).sum()
nsum = (n*n).sum()
if rsum==0 and nsum==0 :
err = -1
print iz, " err " , err
if err> maxerr:
maxerr=err
dr = r
dn = n
overerr = (r*r).sum()
miz = iz
a = numpy.array( [maxerr],"f" )
a_r = numpy.array( [0] , "f" )
comm.Allreduce([a, MPI.FLOAT ], [a_r, MPI.FLOAT ], op=MPI.MAX)
if a[0]==a_r[0]:
a[0]=myrank
else:
a[0]=-1
comm.Allreduce([a, MPI.FLOAT ], [a_r, MPI.FLOAT ], op=MPI.MAX)
if myrank == a_r[0]:
print "COMPARISON : %s %s"%( ref, new )
print " Relative Error : %e "% numpy.sqrt(maxerr/overerr)
print " for slice ", miz
mostra_slices( dr,dn, ref, new)
comm.Barrier()
def compara_edfs(ref, new ):
import fabio
maxerr=-1
overerr = 0
miz=-1
done =0
NN = len( zip (ref, new ))
nblockfl = NN/nprocs+1
for iz,(rname, nname) in enumerate(zip (ref, new )) :
done=1
if (iz/nblockfl)%nprocs != myrank:
continue
r = fabio.open(rname).data
n = fabio.open(nname).data
err = (r-n)
err=(err*err).sum()
if err> maxerr:
maxerr=err
dr = r
dn = n
overerr = (r*r).sum()
mrname = rname
mnname = nname
if done:
a = numpy.array( [maxerr],"f" )
a_r = numpy.array( [0] , "f" )
comm.Allreduce([a, MPI.FLOAT ], [a_r, MPI.FLOAT ], op=MPI.MAX)
if a[0]==a_r[0]:
a[0]=myrank
else:
a[0]=-1
comm.Allreduce([a, MPI.FLOAT ], [a_r, MPI.FLOAT ], op=MPI.MAX)
if myrank == a_r[0]:
print "COMPARISON : %s %s"%(mrname , mnname )
print " Relative Error : %e "% numpy.sqrt(maxerr/overerr)
mostra_slices( dr,dn, mrname, mnname)
comm.Barrier()
import PyMca5.PyMcaGui
from PyMca5.PyMcaGui import MaskImageWidget as pymcaMask
class MaskImageWidget(pymcaMask.MaskImageWidget):
closealso=[]
def __init__(self, *args, **argw):
self.closealso.append(self)
super(MaskImageWidget,self).__init__(*args, **argw)
def closeEvent(self, event):
print " in close ", self.closealso
if self in self.closealso:
self.closealso.remove(self)
for t in self.closealso:
self.closealso.remove(t)
t.close()
event.accept() #
def mostra_slices( dr,dn, namer, namen):
app=Qt.QApplication([])
maskW1 = MaskImageWidget(None , aspect=True,profileselection=True)
maskW1.setImageData(dr , xScale=(0.0, 1.0), yScale=(0., 1.))
maskW2 = MaskImageWidget(None , aspect=True,profileselection=True)
maskW2.setImageData(dn , xScale=(0.0, 1.0), yScale=(0., 1.))
maskW3 = MaskImageWidget(None , aspect=True,profileselection=True)
maskW3.setImageData(abs(dn-dr) , xScale=(0.0, 1.0), yScale=(0., 1.))
maskW1.setDefaultColormap(0,0)
maskW2.setDefaultColormap(0,0)
maskW3.setDefaultColormap(2,1)
maskW1.plotImage(True)
maskW2.plotImage(True)
maskW3.plotImage(True)
maskW1.setWindowTitle("new")
maskW2.setWindowTitle("old")
maskW3.setWindowTitle("new - old")
maskW1.show()
maskW2.show()
maskW3.show()
app.connect(maskW1, SIGNAL("destroyed()"),
app, SLOT("quit()"))
app.exec_()
# cdict = {'red': ((0.0, 0.0, 0.0),
# (0.5, 0.0, 0.0),
# (0.75, 1.0, 1.0),
# (1.0, 1.0, 1.0)),
# 'green': ((0.0, 0.0, 0.0),
# (0.25, 1.0, 1.0),
# (0.75, 1.0, 1.0),
# (1.0, 0.0, 0.0)),
# 'blue': ((0.0, 1.0, 1.0),
# (0.25, 1.0, 1.0),
# (0.5, 0.0, 0.0),
# (1.0, 0.0, 0.0))}
# temperature = LinearSegmentedColormap('temperature',cdict, 65536)
# fig=plt.figure()
# plt.subplot(1, 3, 1)
# title(namer)
# im = plt.imshow(dr, cmap=temperature)
# plt.subplot(1, 3, 2)
# title(namen)
# im = plt.imshow(dn, cmap=temperature)
# plt.subplot(1, 3, 3)
# title('diff (abs)')
# diff = abs( dr-dn )
# im = plt.imshow(diff, cmap=temperature,
# norm=LogNorm(vmin=max(diff.min(), diff.max()*1.0e-8), vmax=diff.max()))
# show()
def get_results(radice):
N=len(radice)
import os
import glob
result={}
ws=os.walk(radice)
leafs = [ t[0] for t in ws if len(t[1])==0 ]
for l in leafs:
result[l[N:]] = {}
print l+"/abs.vol"
result[l[N:]]["vol"] = glob.glob(l+"/vol*.vol")+glob.glob(l+"/reconstruction*.vol")
lf = glob.glob(l+"/*.edf")
result[l[N:]]["edf"] = [ t for t in lf if ("histo" not in t and "phase1" not in t and "phase2" not in t )]
return result
ress_ref = get_results(referenceprefix)
print ress_ref
ress_new = get_results(newversionprefix)
print ress_new
leafs = list(ress_ref.keys())
for l in leafs:
print "======================="
print l
print " continuo?"
res=raw_input()
if res=="1":
print ress_ref[l]["vol"]
print ress_new[l]["vol"]
print ress_ref[l]["edf"]
print ress_new[l]["edf"]
if len(ress_ref[l]["vol"]):
if(len(ress_new[l]["vol"])==0):
print " ERRORE vol : new n'a pas produit de output pour ", l
else:
assert( len(ress_ref[l]["vol"])==1)
ress_vol = ress_ref[l]["vol"][0]
new_vol = ress_new[l]["vol"][0]
compara_vols(ress_vol, new_vol )
else:
if(len(ress_new[l]["edf"])==0):
print " ERRORE edf : new n'a pas produit de output pour ", l
else:
# assert( len(ress_ref[l]["edf"] = len(ress_new[l]["edf"])==1) )
ress_edf = ress_ref[l]["edf"]
new_edf = ress_new[l]["edf"]
ress_edf.sort()
new_edf .sort()
compara_edfs(ress_edf, new_edf )
print ress_ref
print ress_new
print " END \n"*100
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