out of place behavior for VTK

This commit is contained in:
Martin Diehl 2022-02-21 12:17:00 +01:00
parent c975a5b437
commit e8a4f06634
5 changed files with 32 additions and 33 deletions

View File

@ -644,8 +644,8 @@ class Grid:
Compress with zlib algorithm. Defaults to True.
"""
v = VTK.from_image_data(self.cells,self.size,self.origin)
v.add(self.material.flatten(order='F'),'material')
v = VTK.from_image_data(self.cells,self.size,self.origin)\
.add(self.material.flatten(order='F'),'material')
v.comments += self.comments
v.save(fname,parallel=False,compress=compress)
@ -693,8 +693,8 @@ class Grid:
Colors used to map material IDs.
"""
v = VTK.from_image_data(self.cells,self.size,self.origin)
v.add(self.material.flatten(),'material')
v = VTK.from_image_data(self.cells,self.size,self.origin) \
.add(self.material.flatten(),'material')
v.show('material',colormap)

View File

@ -1656,7 +1656,7 @@ class Result:
for inc in util.show_progress(self.visible['increments']):
u = _read(f['/'.join([inc,'geometry','u_n' if mode.lower() == 'cell' else 'u_p'])])
v.add(u,'u')
v = v.add(u,'u')
for ty in ['phase','homogenization']:
for field in self.visible['fields']:
@ -1683,7 +1683,7 @@ class Result:
outs[out][at_cell_ho[label]] = data[in_data_ho[label]]
for label,dataset in outs.items():
v.add(dataset,' / '.join(['/'.join([ty,field,label]),dataset.dtype.metadata['unit']]))
v = v.add(dataset,' / '.join(['/'.join([ty,field,label]),dataset.dtype.metadata['unit']]))
v.save(f'{self.fname.stem}_inc{inc[10:].zfill(N_digits)}',parallel=parallel)

View File

@ -589,7 +589,7 @@ class Table:
labels += [f'{util.srepr(self.shapes[l],"x")}:{i+1}_{l}' \
for i in range(np.prod(self.shapes[l]))]
f = open(fname,'w',newline='\n') if isinstance(fname, (str, Path)) else fname
f = open(Path(fname).expanduser(),'w',newline='\n') if isinstance(fname, (str, Path)) else fname
f.write('\n'.join([f'# {c}' for c in self.comments] + [' '.join(labels)])+'\n')
self.data.to_csv(f,sep=' ',na_rep='nan',index=False,header=False)

View File

@ -42,11 +42,11 @@ class VTK:
if isinstance(self.vtk_data,vtk.vtkImageData):
dup = vtk.vtkImageData()
elif isinstance(self.vtk_data,vtk.vtkUnstructuredGrid):
dup = vtk.vtkUnstructuredGrid
dup = vtk.vtkUnstructuredGrid()
elif isinstance(self.vtk_data,vtk.vtkPolyData):
dup = vtk.vtkPolyData
dup = vtk.vtkPolyData()
elif isinstance(self.vtk_data,vtk.vtkRectilinearGrid):
dup = vtk.vtkRectilinearGrid
dup = vtk.vtkRectilinearGrid()
else:
raise TypeError
@ -222,7 +222,7 @@ class VTK:
VTK-based geometry from file.
"""
if not os.path.isfile(os.path.expanduser(fname)): # vtk has a strange error handling
if not Path(fname).expanduser().is_file(): # vtk has a strange error handling
raise FileNotFoundError(f'No such file: {fname}')
if (ext := Path(fname).suffix) == '.vtk' or dataset_type is not None:
reader = vtk.vtkGenericDataObjectReader()
@ -315,7 +315,6 @@ class VTK:
# Check https://blog.kitware.com/ghost-and-blanking-visibility-changes/ for missing data
# Needs support for damask.Table
def add(self,
data: Union[np.ndarray, np.ma.MaskedArray, 'Table'],
label: str = None):
@ -332,7 +331,7 @@ class VTK:
"""
def _add_array(self,
def _add_array(vtk_data,
data: np.ndarray,
label: str):
@ -350,27 +349,29 @@ class VTK:
d.SetName(label)
if N_data == self.N_points:
self.vtk_data.GetPointData().AddArray(d)
elif N_data == self.N_cells:
self.vtk_data.GetCellData().AddArray(d)
if N_data == vtk_data.GetNumberOfPoints():
vtk_data.GetPointData().AddArray(d)
elif N_data == vtk_data.GetNumberOfCells():
vtk_data.GetCellData().AddArray(d)
else:
raise ValueError(f'Data count mismatch ({N_data}{self.N_points} & {self.N_cells})')
dup = self.copy()
if isinstance(data,np.ndarray):
if label is not None:
_add_array(self,
_add_array(dup.vtk_data,
np.where(data.mask,data.fill_value,data) if isinstance(data,np.ma.MaskedArray) else data,
label)
else:
raise ValueError('No label defined for numpy.ndarray')
elif isinstance(data,Table):
for l in data.labels:
_add_array(self,data.get(l),l)
_add_array(dup.vtk_data,data.get(l),l)
else:
raise TypeError
return dup
def get(self,
label: str) -> np.ndarray:

View File

@ -147,8 +147,8 @@ class TestVTK:
@pytest.mark.parametrize('N_values',[5*6*7,6*7*8])
def test_add_get(self,default,data_type,shape,N_values):
data = np.squeeze(np.random.randint(0,100,(N_values,)+shape)).astype(data_type)
default.add(data,'data')
assert (np.squeeze(data.reshape(N_values,-1)) == default.get('data')).all()
new = default.add(data,'data')
assert (np.squeeze(data.reshape(N_values,-1)) == new.get('data')).all()
@pytest.mark.parametrize('shapes',[{'scalar':(1,),'vector':(3,),'tensor':(3,3)},
@ -160,18 +160,17 @@ class TestVTK:
for k,s in shapes.items():
d[k] = dict(shape = s,
data = np.random.random(N*np.prod(s)).reshape((N,-1)))
default.add(Table(np.column_stack([d[k]['data'] for k in shapes.keys()]),shapes))
new = default.add(Table(np.column_stack([d[k]['data'] for k in shapes.keys()]),shapes))
for k,s in shapes.items():
assert np.allclose(np.squeeze(d[k]['data']),default.get(k),rtol=1e-7)
assert np.allclose(np.squeeze(d[k]['data']),new.get(k),rtol=1e-7)
def test_add_masked(self,default):
data = np.random.rand(5*6*7,3)
masked = ma.MaskedArray(data,mask=data<.4,fill_value=42.)
default.add(masked,'D')
result_masked = str(default)
default.add(np.where(masked.mask,masked.fill_value,masked),'D')
assert result_masked == str(default)
mask_auto = default.add(masked,'D')
mask_manual = default.add(np.where(masked.mask,masked.fill_value,masked),'D')
assert str(mask_manual) == str(mask_auto)
def test_comments(self,tmp_path,default):
@ -183,8 +182,7 @@ class TestVTK:
@pytest.mark.xfail(int(vtk.vtkVersion.GetVTKVersion().split('.')[0])<8, reason='missing METADATA')
def test_compare_reference_polyData(self,update,ref_path,tmp_path):
points=np.dstack((np.linspace(0.,1.,10),np.linspace(0.,2.,10),np.linspace(-1.,1.,10))).squeeze()
polyData = VTK.from_poly_data(points)
polyData.add(points,'coordinates')
polyData = VTK.from_poly_data(points).add(points,'coordinates')
if update:
polyData.save(ref_path/'polyData')
else:
@ -197,12 +195,12 @@ class TestVTK:
grid = [np.arange(4)**2.,
np.arange(5)**2.,
np.arange(6)**2.] # ParaView renders tetrahedral meshing unless using float coordinates!
rectilinearGrid = VTK.from_rectilinear_grid(grid)
coords = np.stack(np.meshgrid(*grid,indexing='ij'),axis=-1)
c = coords[:-1,:-1,:-1,:].reshape(-1,3,order='F')
n = coords[:,:,:,:].reshape(-1,3,order='F')
rectilinearGrid.add(np.ascontiguousarray(c),'cell')
rectilinearGrid.add(np.ascontiguousarray(n),'node')
rectilinearGrid = VTK.from_rectilinear_grid(grid) \
.add(np.ascontiguousarray(c),'cell') \
.add(np.ascontiguousarray(n),'node')
if update:
rectilinearGrid.save(ref_path/'rectilinearGrid')
else: