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test_composite.py
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test_composite.py
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import pathlib
import platform
import weakref
import numpy as np
import pytest
import vtk
import pyvista
from pyvista import (
MultiBlock,
PolyData,
RectilinearGrid,
StructuredGrid,
UniformGrid,
examples as ex,
)
skip_mac = pytest.mark.skipif(platform.system() == 'Darwin', reason="Flaky Mac tests")
@pytest.fixture()
def vtk_multi():
return vtk.vtkMultiBlockDataSet()
@pytest.fixture()
def pyvista_multi():
return pyvista.MultiBlock
def multi_from_datasets(*datasets):
"""Return pyvista multiblock composed of any number of datasets."""
return MultiBlock(datasets)
def test_multi_block_init_vtk():
multi = vtk.vtkMultiBlockDataSet()
multi.SetBlock(0, vtk.vtkRectilinearGrid())
multi.SetBlock(1, vtk.vtkStructuredGrid())
multi = MultiBlock(multi)
assert isinstance(multi, MultiBlock)
assert multi.n_blocks == 2
assert isinstance(multi.GetBlock(0), RectilinearGrid)
assert isinstance(multi.GetBlock(1), StructuredGrid)
multi = vtk.vtkMultiBlockDataSet()
multi.SetBlock(0, vtk.vtkRectilinearGrid())
multi.SetBlock(1, vtk.vtkStructuredGrid())
multi = MultiBlock(multi, deep=True)
assert isinstance(multi, MultiBlock)
assert multi.n_blocks == 2
assert isinstance(multi.GetBlock(0), RectilinearGrid)
assert isinstance(multi.GetBlock(1), StructuredGrid)
# Test nested structure
multi = vtk.vtkMultiBlockDataSet()
multi.SetBlock(0, vtk.vtkRectilinearGrid())
multi.SetBlock(1, vtk.vtkImageData())
nested = vtk.vtkMultiBlockDataSet()
nested.SetBlock(0, vtk.vtkUnstructuredGrid())
nested.SetBlock(1, vtk.vtkStructuredGrid())
multi.SetBlock(2, nested)
# Wrap the nested structure
multi = MultiBlock(multi)
assert isinstance(multi, MultiBlock)
assert multi.n_blocks == 3
assert isinstance(multi.GetBlock(0), RectilinearGrid)
assert isinstance(multi.GetBlock(1), UniformGrid)
assert isinstance(multi.GetBlock(2), MultiBlock)
def test_multi_block_init_dict(rectilinear, airplane):
data = {'grid': rectilinear, 'poly': airplane}
multi = MultiBlock(data)
assert isinstance(multi, MultiBlock)
assert multi.n_blocks == 2
# Note that dictionaries do not maintain order
assert isinstance(multi.GetBlock(0), (RectilinearGrid, PolyData))
assert multi.get_block_name(0) in ['grid', 'poly']
assert isinstance(multi.GetBlock(1), (RectilinearGrid, PolyData))
assert multi.get_block_name(1) in ['grid', 'poly']
def test_multi_block_keys(rectilinear, airplane):
data = {'grid': rectilinear, 'poly': airplane}
multi = MultiBlock(data)
assert len(multi.keys()) == 2
assert 'grid' in multi.keys()
assert 'poly' in multi.keys()
def test_multi_block_init_list(rectilinear, airplane):
data = [rectilinear, airplane]
multi = MultiBlock(data)
assert isinstance(multi, MultiBlock)
assert multi.n_blocks == 2
assert isinstance(multi.GetBlock(0), RectilinearGrid)
assert isinstance(multi.GetBlock(1), PolyData)
def test_multi_block_append(ant, sphere, uniform, airplane, rectilinear):
"""This puts all of the example data objects into a a MultiBlock container"""
multi = MultiBlock()
# Add and test examples
datasets = (ant, sphere, uniform, airplane, rectilinear)
for i, dataset in enumerate(datasets):
multi.append(dataset)
assert multi.n_blocks == i + 1
assert isinstance(multi[i], type(dataset))
assert multi.bounds is not None
# Now overwrite a block
multi[4] = pyvista.Sphere()
assert isinstance(multi[4], PolyData)
multi[4] = vtk.vtkUnstructuredGrid()
assert isinstance(multi[4], pyvista.UnstructuredGrid)
with pytest.raises(ValueError, match="Cannot nest a composite dataset in itself."):
multi.append(multi)
def test_multi_block_set_get_ers():
"""This puts all of the example data objects into a a MultiBlock container"""
multi = MultiBlock()
# Set the number of blocks
multi.n_blocks = 6
assert multi.GetNumberOfBlocks() == 6 # Check that VTK side registered it
assert multi.n_blocks == 6 # Check pyvista side registered it
# Add data to the MultiBlock
data = ex.load_rectilinear()
multi[1] = data
multi.set_block_name(1, 'rect')
# Make sure number of blocks is constant
assert multi.n_blocks == 6
# Check content
assert isinstance(multi[1], RectilinearGrid)
for i in [0, 2, 3, 4, 5]:
assert multi[i] is None
# Check the bounds
assert multi.bounds == data.bounds
multi[5] = ex.load_uniform()
multi.set_block_name(5, 'uni')
multi.set_block_name(5, None) # Make sure it doesn't get overwritten
assert isinstance(multi.get(5), UniformGrid)
# Test get by name
assert isinstance(multi['uni'], UniformGrid)
assert isinstance(multi['rect'], RectilinearGrid)
assert isinstance(multi.get('uni'), UniformGrid)
assert multi.get('no key') is None
assert multi.get('no key', default=pyvista.Sphere()) == pyvista.Sphere()
# Test the del operator
del multi[0]
assert multi.n_blocks == 5
# Make sure the rect grid was moved up
assert isinstance(multi[0], RectilinearGrid)
assert multi.get_block_name(0) == 'rect'
assert multi.get_block_name(2) is None
# test del by name
del multi['uni']
assert multi.n_blocks == 4
# test the pop operator
pop = multi.pop(0)
assert isinstance(pop, RectilinearGrid)
assert multi.n_blocks == 3
assert all([k is None for k in multi.keys()])
multi["new key"] = pyvista.Sphere()
assert multi.n_blocks == 4
assert multi[3] == pyvista.Sphere()
multi["new key"] = pyvista.Cube()
assert multi.n_blocks == 4
assert multi[3] == pyvista.Cube()
with pytest.raises(KeyError):
_ = multi.get_index_by_name('foo')
with pytest.raises(IndexError):
multi[4] = UniformGrid()
with pytest.raises(KeyError):
multi["not a key"]
with pytest.raises(TypeError):
data = multi[[0, 1]]
with pytest.raises(TypeError):
multi[1, 'foo'] = data
def test_replace():
spheres = {f"{i}": pyvista.Sphere(phi_resolution=i + 3) for i in range(10)}
multi = MultiBlock(spheres)
cube = pyvista.Cube()
multi.replace(3, cube)
assert multi.get_block_name(3) == "3"
assert multi[3] is cube
def test_pop():
spheres = {f"{i}": pyvista.Sphere(phi_resolution=i + 3) for i in range(10)}
multi = MultiBlock(spheres)
assert multi.pop() == spheres["9"]
assert spheres["9"] not in multi
assert multi.pop(0) == spheres["0"]
assert spheres["0"] not in multi
def test_del_slice(sphere):
multi = MultiBlock({f"{i}": sphere for i in range(10)})
del multi[0:10:2]
assert len(multi) == 5
assert all([f"{i}" in multi.keys() for i in range(1, 10, 2)])
multi = MultiBlock({f"{i}": sphere for i in range(10)})
del multi[5:2:-1]
assert len(multi) == 7
assert all([f"{i}" in multi.keys() for i in [0, 1, 2, 6, 7, 8, 9]])
def test_slicing_multiple_in_setitem(sphere):
# equal length
multi = MultiBlock({f"{i}": sphere for i in range(10)})
multi[1:3] = [pyvista.Cube(), pyvista.Cube()]
assert multi[1] == pyvista.Cube()
assert multi[2] == pyvista.Cube()
assert multi.count(pyvista.Cube()) == 2
assert len(multi) == 10
# len(slice) < len(data)
multi = MultiBlock({f"{i}": sphere for i in range(10)})
multi[1:3] = [pyvista.Cube(), pyvista.Cube(), pyvista.Cube()]
assert multi[1] == pyvista.Cube()
assert multi[2] == pyvista.Cube()
assert multi[3] == pyvista.Cube()
assert multi.count(pyvista.Cube()) == 3
assert len(multi) == 11
# len(slice) > len(data)
multi = MultiBlock({f"{i}": sphere for i in range(10)})
multi[1:3] = [pyvista.Cube()]
assert multi[1] == pyvista.Cube()
assert multi.count(pyvista.Cube()) == 1
assert len(multi) == 9
def test_reverse(sphere):
multi = MultiBlock({f"{i}": sphere for i in range(3)})
multi.append(pyvista.Cube(), "cube")
multi.reverse()
assert multi[0] == pyvista.Cube()
assert np.array_equal(multi.keys(), ["cube", "2", "1", "0"])
def test_insert(sphere):
multi = MultiBlock({f"{i}": sphere for i in range(3)})
cube = pyvista.Cube()
multi.insert(0, cube)
assert len(multi) == 4
assert multi[0] is cube
# test with negative index and name
multi.insert(-1, pyvista.UniformGrid(), name="uni")
assert len(multi) == 5
# inserted before last element
assert isinstance(multi[-2], pyvista.UniformGrid) # inserted before last element
assert multi.get_block_name(-2) == "uni"
def test_extend(sphere, uniform, ant):
# test with Iterable
multi = MultiBlock([sphere, ant])
new_multi = [uniform, uniform]
multi.extend(new_multi)
assert len(multi) == 4
assert multi.count(uniform) == 2
# test with a MultiBlock
multi = MultiBlock([sphere, ant])
new_multi = MultiBlock({"uniform1": uniform, "uniform2": uniform})
multi.extend(new_multi)
assert len(multi) == 4
assert multi.count(uniform) == 2
assert multi.keys()[-2] == "uniform1"
assert multi.keys()[-1] == "uniform2"
def test_multi_block_clean(rectilinear, uniform, ant):
# now test a clean of the null values
multi = MultiBlock()
multi.n_blocks = 6
multi[1] = rectilinear
multi.set_block_name(1, 'rect')
multi[2] = PolyData()
multi.set_block_name(2, 'empty')
multi[3] = MultiBlock()
multi.set_block_name(3, 'mempty')
multi[5] = uniform
multi.set_block_name(5, 'uni')
# perform the clean to remove all Null elements
multi.clean()
assert multi.n_blocks == 2
assert multi.GetNumberOfBlocks() == 2
assert isinstance(multi[0], RectilinearGrid)
assert isinstance(multi[1], UniformGrid)
assert multi.get_block_name(0) == 'rect'
assert multi.get_block_name(1) == 'uni'
# Test a nested data struct
foo = MultiBlock()
foo.n_blocks = 4
foo[3] = ant
assert foo.n_blocks == 4
multi = MultiBlock()
multi.n_blocks = 6
multi[1] = rectilinear
multi.set_block_name(1, 'rect')
multi[5] = foo
multi.set_block_name(5, 'multi')
# perform the clean to remove all Null elements
assert multi.n_blocks == 6
multi.clean()
assert multi.n_blocks == 2
assert multi.GetNumberOfBlocks() == 2
assert isinstance(multi[0], RectilinearGrid)
assert isinstance(multi[1], MultiBlock)
assert multi.get_block_name(0) == 'rect'
assert multi.get_block_name(1) == 'multi'
assert foo.n_blocks == 1
def test_multi_block_repr(ant, sphere, uniform, airplane):
multi = multi_from_datasets(ant, sphere, uniform, airplane, None)
# Now check everything
assert multi.n_blocks == 5
assert multi._repr_html_() is not None
assert repr(multi) is not None
assert str(multi) is not None
def test_multi_block_eq(ant, sphere, uniform, airplane, globe):
multi = multi_from_datasets(ant, sphere, uniform, airplane, globe)
other = multi.copy()
assert multi is not other
assert multi == other
assert pyvista.MultiBlock() == pyvista.MultiBlock()
other[0] = pyvista.Sphere()
assert multi != other
other = multi.copy()
other.set_block_name(0, "not matching")
assert multi != other
other = multi.copy()
other.append(pyvista.Sphere())
assert multi != other
@pytest.mark.parametrize('binary', [True, False])
@pytest.mark.parametrize('extension', pyvista.core.composite.MultiBlock._WRITERS)
@pytest.mark.parametrize('use_pathlib', [True, False])
def test_multi_block_io(
extension, binary, tmpdir, use_pathlib, ant, sphere, uniform, airplane, globe
):
filename = str(tmpdir.mkdir("tmpdir").join(f'tmp.{extension}'))
if use_pathlib:
pathlib.Path(filename)
multi = multi_from_datasets(ant, sphere, uniform, airplane, globe)
# Now check everything
assert multi.n_blocks == 5
# Save it out
multi.save(filename, binary)
foo = MultiBlock(filename)
assert foo.n_blocks == multi.n_blocks
foo = pyvista.read(filename)
assert foo.n_blocks == multi.n_blocks
@skip_mac # fails due to download examples
@pytest.mark.parametrize('binary', [True, False])
@pytest.mark.parametrize('extension', ['vtm', 'vtmb'])
def test_ensight_multi_block_io(extension, binary, tmpdir, ant, sphere, uniform, airplane, globe):
filename = str(tmpdir.mkdir("tmpdir").join('tmp.%s' % extension))
# multi = ex.load_bfs() # .case file
multi = ex.download_backward_facing_step() # .case file
# Now check everything
assert multi.n_blocks == 4
array_names = ['v2', 'nut', 'k', 'nuTilda', 'p', 'omega', 'f', 'epsilon', 'U']
for block in multi:
assert block.array_names == array_names
# Save it out
multi.save(filename, binary)
foo = MultiBlock(filename)
assert foo.n_blocks == multi.n_blocks
for block in foo:
assert block.array_names == array_names
foo = pyvista.read(filename)
assert foo.n_blocks == multi.n_blocks
for block in foo:
assert block.array_names == array_names
def test_invalid_arg():
with pytest.raises(TypeError):
pyvista.MultiBlock(np.empty(10))
with pytest.raises(ValueError):
pyvista.MultiBlock(np.empty(10), np.empty(10))
def test_multi_io_erros(tmpdir):
fdir = tmpdir.mkdir("tmpdir")
multi = MultiBlock()
# Check saving with bad extension
bad_ext_name = str(fdir.join('tmp.npy'))
with pytest.raises(ValueError):
multi.save(bad_ext_name)
arr = np.random.rand(10, 10)
np.save(bad_ext_name, arr)
# Load non existing file
with pytest.raises(FileNotFoundError):
_ = MultiBlock('foo.vtm')
# Load bad extension
with pytest.raises(IOError):
_ = MultiBlock(bad_ext_name)
def test_extract_geometry(ant, sphere, uniform, airplane, globe):
multi = multi_from_datasets(ant, sphere, uniform)
nested = multi_from_datasets(airplane, globe)
multi.append(nested)
# Now check everything
assert multi.n_blocks == 4
# Now apply the geometry filter to combine a plethora of data blocks
geom = multi.extract_geometry()
assert isinstance(geom, PolyData)
def test_combine_filter(ant, sphere, uniform, airplane, globe):
multi = multi_from_datasets(ant, sphere, uniform)
nested = multi_from_datasets(airplane, globe)
multi.append(nested)
# Now check everything
assert multi.n_blocks == 4
# Now apply the append filter to combine a plethora of data blocks
geom = multi.combine()
assert isinstance(geom, pyvista.UnstructuredGrid)
def test_multi_block_copy(ant, sphere, uniform, airplane, globe):
multi = multi_from_datasets(ant, sphere, uniform, airplane, globe)
# Now check everything
multi_copy = multi.copy()
assert multi.n_blocks == 5 == multi_copy.n_blocks
assert id(multi[0]) != id(multi_copy[0])
assert id(multi[-1]) != id(multi_copy[-1])
for i in range(multi_copy.n_blocks):
assert pyvista.is_pyvista_dataset(multi_copy.GetBlock(i))
# Now check shallow
multi_copy = multi.copy(deep=False)
assert multi.n_blocks == 5 == multi_copy.n_blocks
assert id(multi[0]) == id(multi_copy[0])
assert id(multi[-1]) == id(multi_copy[-1])
for i in range(multi_copy.n_blocks):
assert pyvista.is_pyvista_dataset(multi_copy.GetBlock(i))
def test_multi_block_negative_index(ant, sphere, uniform, airplane, globe):
multi = multi_from_datasets(ant, sphere, uniform, airplane, globe)
# Now check everything
assert id(multi[-1]) == id(multi[4])
assert id(multi[-2]) == id(multi[3])
assert id(multi[-3]) == id(multi[2])
assert id(multi[-4]) == id(multi[1])
assert id(multi[-5]) == id(multi[0])
with pytest.raises(IndexError):
_ = multi[-6]
multi[-1] = ant
assert multi[4] == ant
multi[-5] = globe
assert multi[0] == globe
with pytest.raises(IndexError):
multi[-6] = uniform
def test_multi_slice_index(ant, sphere, uniform, airplane, globe):
multi = multi_from_datasets(ant, sphere, uniform, airplane, globe)
# Now check everything
sub = multi[0:3]
assert len(sub) == 3
for i in range(len(sub)):
assert sub[i] is multi[i]
assert sub.get_block_name(i) == multi.get_block_name(i)
sub = multi[0:-1]
assert len(sub) + 1 == len(multi)
for i in range(len(sub)):
assert sub[i] is multi[i]
assert sub.get_block_name(i) == multi.get_block_name(i)
sub = multi[0:-1:2]
assert len(sub) == 2
for i in range(len(sub)):
j = i * 2
assert sub[i] is multi[j]
assert sub.get_block_name(i) == multi.get_block_name(j)
sub = [airplane, globe]
multi[0:2] = sub
assert multi[0] is airplane
assert multi[1] is globe
def test_slice_defaults(ant, sphere, uniform, airplane, globe):
multi = multi_from_datasets(ant, sphere, uniform, airplane, globe)
assert multi[:] == multi[0 : len(multi)]
def test_slice_negatives(ant, sphere, uniform, airplane, globe):
multi = multi_from_datasets(ant, sphere, uniform, airplane, globe)
test_multi = pyvista.MultiBlock({key: multi[key] for key in multi.keys()[::-1]})
assert multi[::-1] == test_multi
test_multi = pyvista.MultiBlock({key: multi[key] for key in multi.keys()[-2:]})
assert multi[-2:] == test_multi
test_multi = pyvista.MultiBlock({key: multi[key] for key in multi.keys()[:-1]})
assert multi[:-1] == test_multi
test_multi = pyvista.MultiBlock({key: multi[key] for key in multi.keys()[-1:-4:-2]})
assert multi[-1:-4:-2] == test_multi
def test_multi_block_volume(ant, airplane, sphere, uniform):
multi = multi_from_datasets(ant, sphere, uniform, airplane, None)
vols = ant.volume + sphere.volume + uniform.volume + airplane.volume
assert multi.volume == pytest.approx(vols)
def test_multi_block_length(ant, sphere, uniform, airplane):
multi = multi_from_datasets(ant, sphere, uniform, airplane, None)
assert multi.length
def test_multi_block_save_lines(tmpdir):
radius = 1
xr = np.random.random(10)
yr = np.random.random(10)
x = radius * np.sin(yr) * np.cos(xr)
y = radius * np.sin(yr) * np.sin(xr)
z = radius * np.cos(yr)
xyz = np.stack((x, y, z), axis=1)
poly = pyvista.lines_from_points(xyz, close=False)
blocks = pyvista.MultiBlock()
for _ in range(2):
blocks.append(poly)
path = tmpdir.mkdir("tmpdir")
line_filename = str(path.join('lines.vtk'))
block_filename = str(path.join('blocks.vtmb'))
poly.save(line_filename)
blocks.save(block_filename)
poly_load = pyvista.read(line_filename)
assert np.allclose(poly_load.points, poly.points)
blocks_load = pyvista.read(block_filename)
assert np.allclose(blocks_load[0].points, blocks[0].points)
def test_multi_block_data_range():
volume = pyvista.Wavelet()
a = volume.slice_along_axis(5, 'x')
with pytest.raises(KeyError):
a.get_data_range('foo')
mi, ma = a.get_data_range(volume.active_scalars_name)
assert mi is not None
assert ma is not None
# Test on a nested MultiBlock
b = volume.slice_along_axis(5, 'y')
slices = pyvista.MultiBlock([a, b])
with pytest.raises(KeyError):
slices.get_data_range('foo')
mi, ma = slices.get_data_range(volume.active_scalars_name)
assert mi is not None
assert ma is not None
def test_multiblock_ref():
# can't use fixtures here as we need to remove all references for
# garbage collection
sphere = pyvista.Sphere()
cube = pyvista.Cube()
block = MultiBlock([sphere, cube])
block[0]["a_new_var"] = np.zeros(block[0].n_points)
assert "a_new_var" in block[0].array_names
assert sphere is block[0]
assert cube is block[1]
wref_sphere = weakref.ref(sphere)
wref_cube = weakref.ref(cube)
# verify reference remains
assert wref_sphere() is sphere
del sphere
assert wref_sphere() is not None
# verify __delitem__ works and removes reference
del block[0]
assert wref_sphere() is None
# verify reference remains
assert wref_cube() is cube
# verify the __setitem__(index, None) edge case
del cube
block[0] = None
assert wref_cube() is None
def test_set_active_scalars(multiblock_all):
for block in multiblock_all:
block.clear_data()
block.point_data['data'] = range(block.n_points)
block.point_data['point_data_a'] = range(block.n_points)
block.point_data['point_data_b'] = range(block.n_points)
block.cell_data['data'] = range(block.n_cells)
block.cell_data['cell_data_a'] = range(block.n_cells)
block.cell_data['cell_data_b'] = range(block.n_cells)
# test none
multiblock_all.set_active_scalars(None)
for block in multiblock_all:
assert block.point_data.active_scalars_name is None
assert block.cell_data.active_scalars_name is None
# test set point_data
active_scalars_name = 'point_data_a'
multiblock_all.set_active_scalars(active_scalars_name)
for block in multiblock_all:
assert block.point_data.active_scalars_name == active_scalars_name
# test set point_data
active_scalars_name = 'cell_data_a'
multiblock_all.set_active_scalars(active_scalars_name)
for block in multiblock_all:
assert block.cell_data.active_scalars_name == active_scalars_name
# test set point_data
multiblock_all.set_active_scalars(None)
active_scalars_name = 'data'
multiblock_all.set_active_scalars(active_scalars_name, preference='point')
for block in multiblock_all:
assert block.point_data.active_scalars_name == active_scalars_name
assert block.cell_data.active_scalars_name is None
multiblock_all.set_active_scalars(None)
active_scalars_name = 'data'
multiblock_all.set_active_scalars(active_scalars_name, preference='cell')
for block in multiblock_all:
assert block.point_data.active_scalars_name is None
assert block.cell_data.active_scalars_name == active_scalars_name
# test partial
multiblock_all[0].clear_data()
multiblock_all.set_active_scalars(None)
with pytest.raises(KeyError, match='does not exist'):
multiblock_all.set_active_scalars('point_data_a')
multiblock_all.set_active_scalars('point_data_a', allow_missing=True)
multiblock_all[1].point_data.active_scalars_name == 'point_data_a'
with pytest.raises(KeyError, match='is missing from all'):
multiblock_all.set_active_scalars('does not exist', allow_missing=True)
def test_set_active_scalars_multi(multiblock_poly):
multiblock_poly.set_active_scalars(None)
block = multiblock_poly[0]
block.point_data.set_array(range(block.n_points), 'data')
block.cell_data.set_array(range(block.n_cells), 'data')
block = multiblock_poly[1]
block.point_data.set_array(range(block.n_points), 'data')
multiblock_poly.set_active_scalars('data', preference='point', allow_missing=True)
for block in multiblock_poly:
if 'data' in block.point_data:
assert block.point_data.active_scalars_name == 'data'
else:
assert block.point_data.active_scalars_name is None
multiblock_poly.set_active_scalars('data', preference='cell', allow_missing=True)
for block in multiblock_poly:
if 'data' in block.cell_data:
assert block.cell_data.active_scalars_name == 'data'
else:
assert block.cell_data.active_scalars_name is None
def test_set_active_scalars_components(multiblock_poly):
multiblock_poly[0].point_data['data'] = range(multiblock_poly[0].n_points)
multiblock_poly[1].point_data['data'] = range(multiblock_poly[1].n_points)
multiblock_poly[2].point_data['data'] = range(multiblock_poly[2].n_points)
multiblock_poly.set_active_scalars(None)
multiblock_poly.set_active_scalars('data')
for block in multiblock_poly:
assert multiblock_poly[0].point_data.active_scalars_name == 'data'
data = np.zeros((multiblock_poly[2].n_points, 3))
multiblock_poly[2].point_data['data'] = data
with pytest.raises(ValueError, match='Inconsistent dimensions'):
multiblock_poly.set_active_scalars('data')
data = np.arange(multiblock_poly[2].n_points, dtype=np.complex128)
multiblock_poly[2].point_data['data'] = data
with pytest.raises(ValueError, match='Inconsistent complex and real'):
multiblock_poly.set_active_scalars('data')
def test_set_active_multi_multi(multiblock_poly):
multi_multi = MultiBlock([multiblock_poly, multiblock_poly])
with pytest.raises(KeyError, match='missing from all'):
multi_multi.set_active_scalars('does-not-exist', allow_missing=True)
multi_multi.set_active_scalars('multi-comp', allow_missing=True)
def test_set_active_scalars_mixed(multiblock_poly):
for block in multiblock_poly:
block.clear_data()
block.point_data.set_array(range(block.n_points), 'data')
block.cell_data.set_array(range(block.n_cells), 'data')
# remove data from the last block
del multiblock_poly[-1].point_data['data']
del multiblock_poly[-1].cell_data['data']
multiblock_poly.set_active_scalars('data', preference='cell', allow_missing=True)
for block in multiblock_poly:
if 'data' in block.cell_data:
assert block.cell_data.active_scalars_name == 'data'
multiblock_poly.set_active_scalars('data', preference='point', allow_missing=True)
for block in multiblock_poly:
if 'data' in block.point_data:
assert block.point_data.active_scalars_name == 'data'
def test_to_polydata(multiblock_all):
assert not multiblock_all.is_all_polydata
dataset_a = multiblock_all.as_polydata_blocks()
assert not multiblock_all.is_all_polydata
assert dataset_a.is_all_polydata
# verify nested works
nested_mblock = pyvista.MultiBlock([multiblock_all, multiblock_all])
assert not nested_mblock.is_all_polydata
dataset_b = nested_mblock.as_polydata_blocks()
assert dataset_b.is_all_polydata
def test_compute_normals(multiblock_poly):
for block in multiblock_poly:
block.clear_data()
block['point_data'] = range(block.n_points)
mblock = multiblock_poly._compute_normals(
cell_normals=False, split_vertices=True, track_vertices=True
)
for block in mblock:
assert 'Normals' in block.point_data
assert 'point_data' in block.point_data
assert 'pyvistaOriginalPointIds' in block.point_data
# test non-poly raises
multiblock_poly.append(pyvista.UnstructuredGrid())
with pytest.raises(RuntimeError, match='This multiblock contains non-PolyData'):
multiblock_poly._compute_normals()
def test_activate_plotting_scalars(multiblock_poly):
for block in multiblock_poly:
data = np.array(['a'] * block.n_points)
block.point_data.set_array(data, 'data')