import numpy as np
from MEDLoader import *
from CaseIO import CaseIO
-import sys,re
+import sys,re,os
class CaseReader(CaseIO):
""" Converting a file in the Case format (Ensight) to the MED format.
arr0mc2=DataArrayInt(len(arr0),2) ; arr0mc2[:,0]=DataArrayInt(arr0)-1 ; arr0mc2[:,1]=1 ; arr0mc2.rearrange(1) ; arr0mc2.computeOffsetsFull()
arr0mc3=DataArrayInt.Range(0,2*len(arr0),2).buildExplicitArrByRanges(arr0mc2)
arr1mc0=DataArrayInt(arr1) ; arr1mc0.computeOffsetsFull()
- arr1mc1=arr1mc0[arr0mc0] ; arr1mc1[1:]+=arr0mc0[1:]
+ arr1mc1=arr1mc0[arr0mc0] ; arr1mc1[1:]+=arr0mc0[1:]
arr1mc2=DataArrayInt(arr1).deepCopy() ; arr1mc2+=1 ; arr1mc2.computeOffsetsFull()
arr2mc0=(arr1mc2[1:])[arr0mc3]
#
pos+=nbNodes*3*4 ; fd.seek(pos)#np.array(0,dtype='float%i'%(typeOfCoo)).nbytes
typ=fd.read(80).strip() ; pos=fd.tell()
zeK=""
- for k in self.dictMCTyp2.keys():
+ for k in self.dictMCTyp2:
if k in typ:
zeK=k
break
mcmeshes2.append(self.__traduceMesh(meshName,zeK,coo,nodalConn))
pos+=nbNodesPerCell*nbCellsOfType*4
if abs(pos-end)>8:
- fd.seek(pos) ;elt=fd.read(80) ; typ=elt[:] ; pos+=80
+ fd.seek(pos) ;elt=fd.read(80) ; typ=elt[:] ; pos+=80
pass
nbOfTurn+=1
pass
return mcmeshes2
def __convertGeo2MEDC(self,fd,end):
- fd.readline()
- name=fd.readline().strip() ; fd.readline() ; fd.readline()
+ #fd.readline()
+ #name=fd.readline().strip() ; fd.readline() ; fd.readline()
+ name=fd.read(80)
+ descrip=fd.read(80).strip() ; fd.read(80) ; fd.read(80)
pos=fd.tell()
mcmeshes=[]
elt=fd.read(80) ; elt=elt.strip() ; pos+=80
mcmeshes.append(m)
pass
return mcmeshes
-
-
+
+
def __convertField(self,mlfields, mcmeshes, fileName, fieldName, discr, nbCompo, locId, it):
""" Convert the fields. """
stars=re.search("[\*]+",fileName).group()
st="%0"+str(len(stars))+"i"
trueFileName=fileName.replace(stars,st%(it))
fd=open(os.path.join(self._dirName,trueFileName),"r+b") ; fd.seek(0,2) ; end=fd.tell() ; fd.seek(0)
- name=fd.readline().strip().split(" ")[0]
+ name=fd.read(80).strip().split(" ")[0]
if name!=fieldName:
raise Exception("ConvertField : mismatch")
pos=fd.tell()
fdisc=MEDCouplingFieldDiscretization.New(self.discSpatial2[discr])
meshId=np.memmap(fd,dtype='int32',mode='r',offset=int(pos),shape=(1)).tolist()[0]-1
if meshId >= len( mcmeshes ):
- continue
+ return
nbOfValues=fdisc.getNumberOfTuples(mcmeshes[meshId])
vals2=DataArrayDouble(nbOfValues,nbCompo)
fd.seek(pos+4)
nbOfValsOfTyp=np.memmap(fd,dtype='>i4',mode='r',offset=pos,shape=(1)).tolist()[0]/4
pos+=4
vals=np.zeros(dtype=">f4",shape=(nbOfValsOfTyp*nbCompo))
- for iii in xrange(nbCompo):
+ for iii in range(nbCompo):
valsTmp=np.memmap(fd,dtype='>f4',mode='r',offset=int(pos),shape=(nbOfValsOfTyp))
vals[iii*nbOfValsOfTyp:(iii+1)*nbOfValsOfTyp]=valsTmp
pos+=nbOfValsOfTyp*4
nbTurn+=1
pass
pass
-
+
def loadInMEDFileDS(self):
""" Load a CASE file into a MEDFileData object. """
f=file(self._fileName)
if "TIME\n" in lines:
end=lines.index("TIME\n")
pass
- for i in xrange(ind+1,end):
- m=re.match("^([\w]+)[\s]+\per[\s]+([\w]+)[\s]*\:[\s]*([\w]+)[\s]+([\S]+)$",lines[i])
+ for i in xrange(ind + 1,end):
+ m=re.match("^([\w]+)[\s]+\per[\s]+([\w]+)[\s]*\:[\s]*[0-9]*[\s]*([\w]+)[\s]+([\S]+)$",lines[i])
if m:
if m.groups()[0]=="constant":
continue
spatialDisc=m.groups()[1] ; fieldName=m.groups()[2] ; nbOfCompo=self.dictCompo2[m.groups()[0]] ; fieldFileName=m.groups()[3]
- fieldsInfo.append((fieldName,spatialDisc,nbOfCompo,fieldFileName))
+ if fieldFileName.endswith("*"):
+ fieldsInfo.append((fieldName,spatialDisc,nbOfCompo,fieldFileName))
pass
pass
-
+
expr=re.compile("number[\s]+of[\s]+steps[\s]*\:[\s]*([\d]+)")
- tmp=filter(expr.search,lines)
- if len(tmp)!=0:
- nbOfTimeSteps=int(expr.search(filter(expr.search,lines)[0]).group(1))
+ tmp = [line for line in lines if expr.search(line)]
+ if tmp:
+ nbOfTimeSteps = int(expr.search(tmp[0]).group(1))
expr=re.compile("filename[\s]+start[\s]+number[\s]*\:[\s]*([\d]+)")
- startIt=int(expr.search(filter(expr.search,lines)[0]).group(1))
+ startIt = int(expr.search([line for line in lines if expr.search(line)][0]).group(1))
expr=re.compile("filename[\s]+increment[\s]*\:[\s]*([\d]+)")
- incrIt=int(expr.search(filter(expr.search,lines)[0]).group(1))
+ incrIt = int(expr.search([line for line in lines if expr.search(line)][0]).group(1))
else:
nbOfTimeSteps=1
startIt=0
i+=1
pass
pass
- for ts in xrange(nbOfTimeSteps):
+ for ts in range(nbOfTimeSteps):
i=0
for field in fieldsInfo:
if typeOfFile:
pass
ret=MEDFileData()
ret.setMeshes(m2)
- del mlfields[filter(lambda x: len(mlfields[x])==0,range(len(mlfields)))]
+ del mlfields[[x for x in range(len(mlfields)) if len(mlfields[x]) == 0]]
ret.setFields(mlfields)
return ret