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