197 lines
7.7 KiB
Python
197 lines
7.7 KiB
Python
import os
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import filecmp
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import time
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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 grid_filters
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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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def test_show(sef,default,monkeypatch):
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monkeypatch.delenv('DISPLAY',raising=False)
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default.show()
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def test_rectilinearGrid(self,tmp_path):
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cells = np.random.randint(5,10,3)*2
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size = np.random.random(3) + 1.0
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origin = np.random.random(3)
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v = VTK.from_rectilinear_grid(cells,size,origin)
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string = v.__repr__()
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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.__repr__() == vtk.__repr__())
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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 = v.__repr__()
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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.__repr__() == vtk.__repr__())
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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 = v.__repr__()
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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.__repr__() == vtk.__repr__())
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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).__repr__() == VTK.load(fname_p).__repr__())
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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(ValueError):
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default.get('does_not_exist')
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def test_invalid_add_shape(self,default):
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with pytest.raises(ValueError):
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default.add(np.ones(3),'valid')
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def test_invalid_add_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.add(data)
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def test_invalid_add_type(self,default):
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with pytest.raises(TypeError):
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default.add('invalid_type','valid')
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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_add_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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default.add(data,'data')
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assert (np.squeeze(data.reshape(N_values,-1)) == default.get('data')).all()
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def test_add_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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default.add(masked,'D')
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result_masked = str(default)
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default.add(np.where(masked.mask,masked.fill_value,masked),'D')
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assert result_masked == str(default)
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def test_comments(self,tmp_path,default):
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default.add_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.get_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)
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polyData.add(points,'coordinates')
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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.__repr__() == reference.__repr__() 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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cells = np.array([5,6,7],int)
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size = np.array([.6,1.,.5])
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rectilinearGrid = VTK.from_rectilinear_grid(cells,size)
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c = grid_filters.coordinates0_point(cells,size).reshape(-1,3,order='F')
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n = grid_filters.coordinates0_node(cells,size).reshape(-1,3,order='F')
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rectilinearGrid.add(np.ascontiguousarray(c),'cell')
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rectilinearGrid.add(np.ascontiguousarray(n),'node')
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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.__repr__() == reference.__repr__() and \
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np.allclose(rectilinearGrid.get('cell'),c)
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