def _uncompressCartesian(t): import Generator.PyTree as G zones = Internal.getZones(t) for z in zones: ztype = Internal.getZoneDim(z) if ztype[0] == 'Unstructured': continue c = Internal.getNodeFromName1(z, 'CartesianData') if c is None: continue c = Internal.getValue(c) x0 = c[0] y0 = c[1] z0 = c[2] hi = c[3] hj = c[4] hk = c[5] tmp = G.cart((x0, y0, z0), (hi, hj, hk), (ztype[1], ztype[2], ztype[3])) gc = Internal.getNodeFromName1(z, Internal.__GridCoordinates__) gct = Internal.getNodeFromName1(tmp, Internal.__GridCoordinates__) if gc is None: Internal._addChild(z, gct) else: Internal._rmNodesFromName(z, Internal.__GridCoordinates__) Internal._addChild(z, gct) return None
Filter = dict() Filter[path[0]] = DataSpaceMMRY + DataSpaceFILE + DataSpaceGLOB Filter[path[1]] = DataSpaceMMRY + DataSpaceFILE + DataSpaceGLOB if rank == 0: print(rank, Filter) comm.barrier() if rank == 1: print(rank, Filter) comm.barrier() # ------------------------------------------------------------------------ # 5/ Partial write dt = I.newCGNSTree() dn = I.addChild(dt, ['SuperName', CoordX, [], 'DataArray_t']) I._addChild(dn, ['SuperGirl', CoordY, [], 'DataArray_t']) C.printTree(dt) st = I.newCGNSTree() sn = I.addChild(st, ['SuperName', None, [], 'DataArray_t']) I._addChild(sn, ['SuperGirl', None, [], 'DataArray_t']) C.printTree(st) if (rank == 0): C.convertPyTree2File(st, filenameout) comm.barrier() C.convertPyTree2FilePartial(dt, filenameout, comm, Filter) # ------------------------------------------------------------------------ # 6/ Print CGNS Tree