def printCurMerits():
id=getLastID()
aSpec=getHistSpec(id)
aSpecOld=getHistSpec(id-1)
divSpec=origspec/aSpec
divSpecOld=origspec/aSpecOld
subSpec=fit.getSubSpec(aSpec,origspec)
subSpecOld=fit.getSubSpec(aSpecOld,origspec)
checkElements=['Ni','Co','Fe','Ca','Ti','Cr','Si','S','O','C','Mg']
#checkIons=[[]]
print "General integral: %s last: %s"%(fit.getDiffIntBin(subSpec,1)[1],fit.getDiffIntBin(subSpecOld,1)[1])
print "Integral slope: %s last: %s"%(fit.getIntSlope(subSpec),fit.getIntSlope(subSpecOld))
print "UV excess: %s last: %s"%(fit.getUVInt(subSpec),fit.getUVInt(subSpecOld))
print "UV comparison (UV to optical): %s last: %s"%(fit.getUVIntComp(subSpec),fit.getUVIntComp(subSpecOld))
print "---------------- Element Ratios --------"
for element in checkElements:
try:
print "Element %s: %.5f last: %.5f "%(element,getElementMerit(element,divSpec,threshold=0),getElementMerit(element,divSpecOld,threshold=0,id=id-1))
except Exception as inst:
print "Problem getting %s merit: %s"%(element,inst)
print "________________ Ion Ratios ------------"
self.specFlag = vecFunc(self.grid)
def _getDivSpec(self):
self.divSpec = np.array([item.divSpec for item in self.grid])
def _getFitness(self):
self.fitness = np.array([item.fitness for item in self.grid])
# def divSpecGetter(item):
# tmpAspec=item['aspec']
# tmpAspec=tmpAspec.interpolate(xref=self.origSpec.x)
# return tmpAspec/self.origSpec
# vecFunc=np.vectorize(divSpecGetter)
# self.divSpec=vecFunc(self.grid)
def toDB(self, conn, dicaID=None, storeLList=None, storeWParam=None):
modelGridIDs = []
# saving all models to db
for model in self.grid:
modelGridIDs.append(model.toDB(conn, dicaID=dicaID, storeLList=storeLList, storeWParam=storeWParam))
return np.array(modelGridIDs)
# simple Functions to extract merits
# getGridInt=np.vectorize(lambda item: fit.getDiffIntBin(item,1)[1][0])
getGridInt = np.vectorize(lambda item: fit.getInt(item))
getGridUV = np.vectorize(lambda item: fit.getUVInt(item, norm=False))
getGridOptical = np.vectorize(lambda item: fit.getInt(item, lower=3950.0, norm=False))
getGridUVComp = np.vectorize(lambda item: fit.getUVIntComp(item))
getGridSlope = np.vectorize(lambda item: fit.getIntSlope(item))
getGridSlope = np.vectorize(lambda item: fit.getSlope(item))
