253 lines
10 KiB
Python
253 lines
10 KiB
Python
import os
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import filecmp
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import time
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import string
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import sys
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import pytest
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import numpy as np
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import numpy.ma as ma
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import vtk
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from damask import VTK
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from damask import Table
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from damask import Colormap
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@pytest.fixture
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def ref_path(ref_path_base):
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"""Directory containing reference results."""
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return ref_path_base/'VTK'
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@pytest.fixture
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def default():
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"""Simple VTK."""
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cells = np.array([5,6,7],int)
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size = np.array([.6,1.,.5])
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return VTK.from_image_data(cells,size)
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class TestVTK:
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@pytest.fixture(autouse=True)
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def _patch_execution_stamp(self, patch_execution_stamp):
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print('patched damask.util.execution_stamp')
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@pytest.mark.parametrize('cmap',[Colormap.from_predefined('cividis'),'strain'])
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@pytest.mark.skipif(sys.platform == 'win32', reason='DISPLAY has no effect on windows')
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def test_show(sef,default,cmap,monkeypatch):
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monkeypatch.delenv('DISPLAY',raising=False)
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default.show(colormap=cmap)
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def test_imageData(self,tmp_path):
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cells = np.random.randint(5,10,3)
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size = np.random.random(3) + 0.1
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origin = np.random.random(3) - 0.5
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v = VTK.from_image_data(cells,size,origin)
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string = str(v)
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string = v.as_ASCII()
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v.save(tmp_path/'imageData',False)
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vtr = VTK.load(tmp_path/'imageData.vti')
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with open(tmp_path/'imageData.vtk','w') as f:
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f.write(string)
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vtk = VTK.load(tmp_path/'imageData.vtk','VTK_imageData')
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assert (string == vtr.as_ASCII() == vtk.as_ASCII())
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def test_rectilinearGrid(self,tmp_path):
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grid = np.sort(np.random.random((3,10)))
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v = VTK.from_rectilinear_grid(grid)
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string = str(v)
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string = v.as_ASCII()
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v.save(tmp_path/'rectilinearGrid',False)
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vtr = VTK.load(tmp_path/'rectilinearGrid.vtr')
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with open(tmp_path/'rectilinearGrid.vtk','w') as f:
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f.write(string)
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vtk = VTK.load(tmp_path/'rectilinearGrid.vtk','VTK_rectilinearGrid')
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assert (string == vtr.as_ASCII() == vtk.as_ASCII())
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def test_polyData(self,tmp_path):
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points = np.random.rand(100,3)
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v = VTK.from_poly_data(points)
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string = str(v)
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string = v.as_ASCII()
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v.save(tmp_path/'polyData',False)
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vtp = VTK.load(tmp_path/'polyData.vtp')
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with open(tmp_path/'polyData.vtk','w') as f:
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f.write(string)
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vtk = VTK.load(tmp_path/'polyData.vtk','polyData')
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assert(string == vtp.as_ASCII() == vtk.as_ASCII())
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@pytest.mark.parametrize('cell_type,n',[
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('VTK_hexahedron',8),
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('TETRA',4),
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('quad',4),
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('VTK_TRIANGLE',3)
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]
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)
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def test_unstructuredGrid(self,tmp_path,cell_type,n):
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nodes = np.random.rand(n,3)
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connectivity = np.random.choice(np.arange(n),n,False).reshape(-1,n)
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v = VTK.from_unstructured_grid(nodes,connectivity,cell_type)
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string = str(v)
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string = v.as_ASCII()
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v.save(tmp_path/'unstructuredGrid',False)
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vtu = VTK.load(tmp_path/'unstructuredGrid.vtu')
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with open(tmp_path/'unstructuredGrid.vtk','w') as f:
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f.write(string)
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vtk = VTK.load(tmp_path/'unstructuredGrid.vtk','unstructuredgrid')
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assert(string == vtu.as_ASCII() == vtk.as_ASCII())
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def test_parallel_out(self,tmp_path):
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points = np.random.rand(102,3)
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v = VTK.from_poly_data(points)
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fname_s = tmp_path/'single.vtp'
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fname_p = tmp_path/'parallel.vtp'
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v.save(fname_s,False)
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v.save(fname_p,True)
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for i in range(10):
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if os.path.isfile(fname_p) and filecmp.cmp(fname_s,fname_p):
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assert(True)
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return
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time.sleep(.5)
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assert(False)
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def test_compress(self,tmp_path):
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points = np.random.rand(102,3)
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v = VTK.from_poly_data(points)
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fname_c = tmp_path/'compressed.vtp'
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fname_p = tmp_path/'plain.vtp'
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v.save(fname_c,parallel=False,compress=False)
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v.save(fname_p,parallel=False,compress=True)
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assert(VTK.load(fname_c).as_ASCII() == VTK.load(fname_p).as_ASCII())
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@pytest.mark.parametrize('fname',['a','a.vtp','a.b','a.b.vtp'])
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def test_filename_variations(self,tmp_path,fname):
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points = np.random.rand(102,3)
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v = VTK.from_poly_data(points)
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v.save(tmp_path/fname)
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@pytest.mark.parametrize('fname,dataset_type',[('a_file.vtk', None),
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('a_file.vtk','vtk'),
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('a_file.vtx', None)])
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def test_invalid_dataset_type(self,tmp_path,fname,dataset_type):
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open(tmp_path/fname,'a').close()
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with pytest.raises(TypeError):
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VTK.load(tmp_path/fname,dataset_type)
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def test_file_not_found(self):
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with pytest.raises(FileNotFoundError):
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VTK.load('/dev/null')
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def test_add_extension(self,tmp_path,default):
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default.save(tmp_path/'default.txt',parallel=False)
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assert os.path.isfile(tmp_path/'default.txt.vti')
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def test_invalid_get(self,default):
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with pytest.raises(KeyError):
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default.get('does_not_exist')
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def test_invalid_set_shape(self,default):
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with pytest.raises(ValueError):
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default.set('valid',np.ones(3))
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def test_invalid_set_missing_label(self,default):
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data = np.random.randint(9,size=np.prod(np.array(default.vtk_data.GetDimensions())-1))
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with pytest.raises(ValueError):
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default.set(data=data)
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def test_invalid_set_type(self,default):
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with pytest.raises(TypeError):
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default.set(label='valid',data='invalid_type')
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with pytest.raises(TypeError):
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default.set(label='valid',table='invalid_type')
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def test_invalid_set_dual(self,default):
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with pytest.raises(KeyError):
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default.set(label='valid',data=0,table=0)
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@pytest.mark.parametrize('data_type,shape',[(float,(3,)),
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(float,(3,3)),
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(float,(1,)),
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(int,(4,)),
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(str,(1,))])
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@pytest.mark.parametrize('N_values',[5*6*7,6*7*8])
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def test_set_get(self,default,data_type,shape,N_values):
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data = np.squeeze(np.random.randint(0,100,(N_values,)+shape)).astype(data_type)
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new = default.set('data',data)
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assert (np.squeeze(data.reshape(N_values,-1)) == new.get('data')).all()
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@pytest.mark.parametrize('shapes',[{'scalar':(1,),'vector':(3,),'tensor':(3,3)},
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{'vector':(6,),'tensor':(3,3)},
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{'tensor':(3,3),'scalar':(1,)}])
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def test_set_table(self,default,shapes):
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N = np.random.choice([default.N_points,default.N_cells])
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d = dict()
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for k,s in shapes.items():
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d[k] = dict(shape = s,
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data = np.random.random(N*np.prod(s)).reshape((N,-1)))
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new = default.set(table=Table(shapes,np.column_stack([d[k]['data'] for k in shapes.keys()])))
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for k,s in shapes.items():
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assert np.allclose(np.squeeze(d[k]['data']),new.get(k),rtol=1e-7)
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def test_set_masked(self,default):
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data = np.random.rand(5*6*7,3)
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masked = ma.MaskedArray(data,mask=data<.4,fill_value=42.)
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mask_auto = default.set('D',masked)
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mask_manual = default.set('D',np.where(masked.mask,masked.fill_value,masked))
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assert mask_manual == mask_auto
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@pytest.mark.parametrize('data_type,shape',[(float,(3,)),
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(float,(3,3)),
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(float,(1,)),
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(int,(4,)),
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(str,(1,))])
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@pytest.mark.parametrize('N_values',[5*6*7,6*7*8])
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def test_labels(self,default,data_type,shape,N_values):
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data = np.squeeze(np.random.randint(0,100,(N_values,)+shape)).astype(data_type)
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ALPHABET = np.array(list(string.ascii_lowercase + ' '))
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label = ''.join(np.random.choice(ALPHABET, size=10))
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new = default.set(label,data)
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if N_values == default.N_points: assert label in new.labels['Point Data']
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if N_values == default.N_cells: assert label in new.labels['Cell Data']
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def test_comments(self,tmp_path,default):
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default.comments += 'this is a comment'
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default.save(tmp_path/'with_comments',parallel=False)
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new = VTK.load(tmp_path/'with_comments.vti')
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assert new.comments == ['this is a comment']
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@pytest.mark.xfail(int(vtk.vtkVersion.GetVTKVersion().split('.')[0])<8, reason='missing METADATA')
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def test_compare_reference_polyData(self,update,ref_path,tmp_path):
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points=np.dstack((np.linspace(0.,1.,10),np.linspace(0.,2.,10),np.linspace(-1.,1.,10))).squeeze()
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polyData = VTK.from_poly_data(points).set('coordinates',points)
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if update:
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polyData.save(ref_path/'polyData')
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else:
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reference = VTK.load(ref_path/'polyData.vtp')
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assert polyData.as_ASCII() == reference.as_ASCII() and \
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np.allclose(polyData.get('coordinates'),points)
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@pytest.mark.xfail(int(vtk.vtkVersion.GetVTKVersion().split('.')[0])<8, reason='missing METADATA')
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def test_compare_reference_rectilinearGrid(self,update,ref_path,tmp_path):
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grid = [np.arange(4)**2.,
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np.arange(5)**2.,
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np.arange(6)**2.] # ParaView renders tetrahedral meshing unless using float coordinates!
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coords = np.stack(np.meshgrid(*grid,indexing='ij'),axis=-1)
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c = coords[:-1,:-1,:-1,:].reshape(-1,3,order='F')
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n = coords[:,:,:,:].reshape(-1,3,order='F')
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rectilinearGrid = VTK.from_rectilinear_grid(grid) \
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.set('cell',np.ascontiguousarray(c)) \
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.set('node',np.ascontiguousarray(n))
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if update:
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rectilinearGrid.save(ref_path/'rectilinearGrid')
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else:
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reference = VTK.load(ref_path/'rectilinearGrid.vtr')
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assert rectilinearGrid.as_ASCII() == reference.as_ASCII() and \
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np.allclose(rectilinearGrid.get('cell'),c)
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