import pytest import numpy as np from vtk.util.numpy_support import numpy_to_vtk as np_to_vtk from damask import VTK from damask import Grid from damask import Table from damask import Rotation from damask import util from damask import seeds from damask import grid_filters def grid_equal(a,b): return np.all(a.material == b.material) and \ np.all(a.cells == b.cells) and \ np.allclose(a.size, b.size) and \ str(a.diff(b)) == str(b.diff(a)) @pytest.fixture def default(): """Simple geometry.""" x=np.concatenate((np.ones(40,dtype=int), np.arange(2,42), np.ones(40,dtype=int)*2, np.arange(1,41))).reshape(8,5,4,order='F') return Grid(x,[8e-6,5e-6,4e-6]) @pytest.fixture def ref_path(ref_path_base): """Directory containing reference results.""" return ref_path_base/'Grid' class TestGrid: @pytest.fixture(autouse=True) def _patch_execution_stamp(self, patch_execution_stamp): print('patched damask.util.execution_stamp') @pytest.fixture(autouse=True) def _patch_datetime_now(self, patch_datetime_now): print('patched datetime.datetime.now') def test_diff_equal(self,default): assert str(default.diff(default)) == '' def test_diff_not_equal(self,default): new = Grid(default.material[1:,1:,1:]+1,default.size*.9,np.ones(3)-default.origin,comments=['modified']) assert str(default.diff(new)) != '' def test_repr(self,default): print(default) def test_read_write_vtr(self,default,tmp_path): default.save(tmp_path/'default') new = Grid.load(tmp_path/'default.vtr') assert grid_equal(new,default) def test_invalid_no_material(self,tmp_path): v = VTK.from_rectilinear_grid(np.random.randint(5,10,3)*2,np.random.random(3) + 1.0) v.save(tmp_path/'no_materialpoint.vtr',parallel=False) with pytest.raises(ValueError): Grid.load(tmp_path/'no_materialpoint.vtr') def test_invalid_spacing(self,tmp_path,default): default.save(tmp_path/'spacing_ok.vtr') vtk = VTK.load(tmp_path/'spacing_ok.vtr') vtk.vtk_data.SetXCoordinates(np_to_vtk(np.sort(np.random.random(default.cells[0])))) vtk.save(tmp_path/'invalid_spacing.vtr',parallel=False) with pytest.raises(ValueError): Grid.load(tmp_path/'invalid_spacing.vtr') def test_invalid_material_type(self): with pytest.raises(TypeError): Grid(np.zeros((3,3,3),dtype='complex'),np.ones(3)) def test_cast_to_int(self): g = Grid(np.zeros((3,3,3)),np.ones(3)) assert g.material.dtype in np.sctypes['int'] def test_invalid_size(self,default): with pytest.raises(ValueError): Grid(default.material[1:,1:,1:], size=np.ones(2)) def test_save_load_ASCII(self,default,tmp_path): default.save_ASCII(tmp_path/'ASCII') default.material -= 1 assert grid_equal(Grid.load_ASCII(tmp_path/'ASCII'),default) def test_invalid_origin(self,default): with pytest.raises(ValueError): Grid(default.material[1:,1:,1:], size=np.ones(3), origin=np.ones(4)) def test_invalid_materials_shape(self,default): material = np.ones((3,3)) with pytest.raises(ValueError): Grid(material, size=np.ones(3)) def test_invalid_materials_type(self,default): material = np.random.randint(1,300,(3,4,5))==1 with pytest.raises(TypeError): Grid(material) @pytest.mark.parametrize('directions,reflect',[ (['x'], False), (['x','y','z'],True), (['z','x','y'],False), (['y','z'], False) ] ) def test_mirror(self,default,update,ref_path,directions,reflect): modified = default.mirror(directions,reflect) tag = f'directions_{"-".join(directions)}+reflect_{reflect}' reference = ref_path/f'mirror_{tag}.vtr' if update: modified.save(reference) assert grid_equal(Grid.load(reference), modified) @pytest.mark.parametrize('directions',[(1,2,'y'),('a','b','x'),[1]]) def test_mirror_invalid(self,default,directions): with pytest.raises(ValueError): default.mirror(directions) @pytest.mark.parametrize('directions',[ ['x'], ['x','y','z'], ['z','x','y'], ['y','z'], ] ) def test_flip(self,default,update,ref_path,directions): modified = default.flip(directions) tag = f'directions_{"-".join(directions)}' reference = ref_path/f'flip_{tag}.vtr' if update: modified.save(reference) assert grid_equal(Grid.load(reference), modified) def test_flip_invariant(self,default): assert grid_equal(default,default.flip([])) @pytest.mark.parametrize('direction',[['x'],['x','y']]) def test_flip_double(self,default,direction): assert grid_equal(default,default.flip(direction).flip(direction)) @pytest.mark.parametrize('directions',[(1,2,'y'),('a','b','x'),[1]]) def test_flip_invalid(self,default,directions): with pytest.raises(ValueError): default.flip(directions) @pytest.mark.parametrize('stencil',[1,2,3,4]) @pytest.mark.parametrize('selection',[None,[1],[1,2,3]]) @pytest.mark.parametrize('periodic',[True,False]) def test_clean(self,default,update,ref_path,stencil,selection,periodic): current = default.clean(stencil,selection,periodic) reference = ref_path/f'clean_{stencil}_{"+".join(map(str,[None] if selection is None else selection))}_{periodic}' if update and stencil > 1: current.save(reference) assert grid_equal(Grid.load(reference) if stencil > 1 else default, current ) @pytest.mark.parametrize('cells',[ (10,11,10), [10,13,10], np.array((10,10,10)), np.array((8, 10,12)), np.array((5, 4, 20)), np.array((10,20,2)) ] ) def test_scale(self,default,update,ref_path,cells): modified = default.scale(cells) tag = f'grid_{util.srepr(cells,"-")}' reference = ref_path/f'scale_{tag}.vtr' if update: modified.save(reference) assert grid_equal(Grid.load(reference), modified) def test_renumber(self,default): material = default.material.copy() for m in np.unique(material): material[material==m] = material.max() + np.random.randint(1,30) default.material -= 1 modified = Grid(material, default.size, default.origin) assert not grid_equal(modified,default) assert grid_equal(default, modified.renumber()) def test_substitute(self,default): offset = np.random.randint(1,500) modified = Grid(default.material + offset, default.size, default.origin) assert not grid_equal(modified,default) assert grid_equal(default, modified.substitute(np.arange(default.material.max())+1+offset, np.arange(default.material.max())+1)) def test_substitute_invariant(self,default): f = np.unique(default.material.flatten())[:np.random.randint(1,default.material.max())] t = np.random.permutation(f) modified = default.substitute(f,t) assert np.array_equiv(t,f) or (not grid_equal(modified,default)) assert grid_equal(default, modified.substitute(t,f)) def test_sort(self): cells = np.random.randint(5,20,3) m = Grid(np.random.randint(1,20,cells)*3,np.ones(3)).sort().material.flatten(order='F') for i,v in enumerate(m): assert i==0 or v > m[:i].max() or v in m[:i] @pytest.mark.parametrize('axis_angle',[np.array([1,0,0,86.7]), np.array([0,1,0,90.4]), np.array([0,0,1,90]), np.array([1,0,0,175]),np.array([0,-1,0,178]),np.array([0,0,1,180])]) def test_rotate360(self,default,axis_angle): modified = default.copy() for i in range(np.rint(360/axis_angle[3]).astype(int)): modified.rotate(Rotation.from_axis_angle(axis_angle,degrees=True)) assert grid_equal(default,modified) @pytest.mark.parametrize('Eulers',[[32.0,68.0,21.0], [0.0,32.0,240.0]]) def test_rotate(self,default,update,ref_path,Eulers): modified = default.rotate(Rotation.from_Euler_angles(Eulers,degrees=True)) tag = f'Eulers_{util.srepr(Eulers,"-")}' reference = ref_path/f'rotate_{tag}.vtr' if update: modified.save(reference) assert grid_equal(Grid.load(reference), modified) def test_canvas(self,default): cells = default.cells grid_add = np.random.randint(0,30,(3)) modified = default.canvas(cells + grid_add) assert np.all(modified.material[:cells[0],:cells[1],:cells[2]] == default.material) @pytest.mark.parametrize('center1,center2',[(np.random.random(3)*.5,np.random.random()*8), (np.random.randint(4,8,(3)),np.random.randint(9,12,(3)))]) @pytest.mark.parametrize('diameter',[np.random.random(3)*.5, np.random.randint(4,10,(3)), np.random.rand(), np.random.randint(30)]) @pytest.mark.parametrize('exponent',[np.random.random(3)*.5, np.random.randint(4,10,(3)), np.random.rand()*4, np.random.randint(20)]) def test_add_primitive_shift(self,center1,center2,diameter,exponent): """Same volume fraction for periodic geometries and different center.""" o = np.random.random(3)-.5 g = np.random.randint(8,32,(3)) s = np.random.random(3)+.5 G_1 = Grid(np.ones(g,'i'),s,o).add_primitive(diameter,center1,exponent) G_2 = Grid(np.ones(g,'i'),s,o).add_primitive(diameter,center2,exponent) assert np.count_nonzero(G_1.material!=2) == np.count_nonzero(G_2.material!=2) @pytest.mark.parametrize('center',[np.random.randint(4,10,(3)), np.random.randint(2,10), np.random.rand()*4, np.random.rand(3)*10]) @pytest.mark.parametrize('inverse',[True,False]) @pytest.mark.parametrize('periodic',[True,False]) def test_add_primitive_rotation(self,center,inverse,periodic): """Rotation should not change result for sphere.""" g = np.random.randint(8,32,(3)) s = np.random.random(3)+.5 fill = np.random.randint(10)+2 G_1 = Grid(np.ones(g,'i'),s).add_primitive(.3,center,1,fill,inverse=inverse,periodic=periodic) G_2 = Grid(np.ones(g,'i'),s).add_primitive(.3,center,1,fill,Rotation.from_random(),inverse,periodic=periodic) assert grid_equal(G_1,G_2) @pytest.mark.parametrize('trigger',[[1],[]]) def test_vicinity_offset(self,trigger): offset = np.random.randint(2,4) vicinity = np.random.randint(2,4) g = np.random.randint(28,40,(3)) m = np.ones(g,'i') x = (g*np.random.permutation(np.array([.5,1,1]))).astype('i') m[slice(0,x[0]),slice(0,x[1]),slice(0,x[2])] = 2 m2 = m.copy() for i in [0,1,2]: m2[(np.roll(m,+vicinity,i)-m)!=0] += offset m2[(np.roll(m,-vicinity,i)-m)!=0] += offset if len(trigger) > 0: m2[m==1] = 1 grid = Grid(m,np.random.rand(3)).vicinity_offset(vicinity,offset,trigger=trigger) assert np.all(m2==grid.material) @pytest.mark.parametrize('periodic',[True,False]) def test_vicinity_offset_invariant(self,default,periodic): offset = default.vicinity_offset(trigger=[default.material.max()+1, default.material.min()-1]) assert np.all(offset.material==default.material) @pytest.mark.parametrize('periodic',[True,False]) def test_tessellation_approaches(self,periodic): cells = np.random.randint(10,20,3) size = np.random.random(3) + 1.0 N_seeds= np.random.randint(10,30) seeds = np.random.rand(N_seeds,3) * np.broadcast_to(size,(N_seeds,3)) Voronoi = Grid.from_Voronoi_tessellation( cells,size,seeds, np.arange(N_seeds)+5,periodic) Laguerre = Grid.from_Laguerre_tessellation(cells,size,seeds,np.ones(N_seeds),np.arange(N_seeds)+5,periodic) assert grid_equal(Laguerre,Voronoi) def test_Laguerre_weights(self): cells = np.random.randint(10,20,3) size = np.random.random(3) + 1.0 N_seeds= np.random.randint(10,30) seeds = np.random.rand(N_seeds,3) * np.broadcast_to(size,(N_seeds,3)) weights= np.full((N_seeds),-np.inf) ms = np.random.randint(N_seeds) weights[ms] = np.random.random() Laguerre = Grid.from_Laguerre_tessellation(cells,size,seeds,weights,periodic=np.random.random()>0.5) assert np.all(Laguerre.material == ms) @pytest.mark.parametrize('approach',['Laguerre','Voronoi']) def test_tessellate_bicrystal(self,approach): cells = np.random.randint(5,10,3)*2 size = cells.astype(float) seeds = np.vstack((size*np.array([0.5,0.25,0.5]),size*np.array([0.5,0.75,0.5]))) material = np.zeros(cells) material[:,cells[1]//2:,:] = 1 if approach == 'Laguerre': grid = Grid.from_Laguerre_tessellation(cells,size,seeds,np.ones(2),periodic=np.random.random()>0.5) elif approach == 'Voronoi': grid = Grid.from_Voronoi_tessellation(cells,size,seeds, periodic=np.random.random()>0.5) assert np.all(grid.material == material) @pytest.mark.parametrize('surface',['Schwarz P', 'Double Primitive', 'Schwarz D', 'Complementary D', 'Double Diamond', 'Dprime', 'Gyroid', 'Gprime', 'Karcher K', 'Lidinoid', 'Neovius', 'Fisher-Koch S', ]) def test_minimal_surface_basic_properties(self,surface): cells = np.random.randint(60,100,3) size = np.ones(3)+np.random.rand(3) threshold = 2*np.random.rand()-1. periods = np.random.randint(2)+1 materials = np.random.randint(0,40,2) grid = Grid.from_minimal_surface(cells,size,surface,threshold,periods,materials) assert set(grid.material.flatten()) | set(materials) == set(materials) \ and (grid.size == size).all() and (grid.cells == cells).all() @pytest.mark.parametrize('surface,threshold',[('Schwarz P',0), ('Double Primitive',-1./6.), ('Schwarz D',0), ('Complementary D',0), ('Double Diamond',-0.133), ('Dprime',-0.0395), ('Gyroid',0), ('Gprime',0.22913), ('Karcher K',0.17045), ('Lidinoid',0.14455), ('Neovius',0), ('Fisher-Koch S',0), ]) def test_minimal_surface_volume(self,surface,threshold): cells = np.ones(3,dtype=int)*64 grid = Grid.from_minimal_surface(cells,np.ones(3),surface,threshold) assert np.isclose(np.count_nonzero(grid.material==1)/np.prod(grid.cells),.5,rtol=1e-3) def test_from_table(self): cells = np.random.randint(60,100,3) size = np.ones(3)+np.random.rand(3) coords = grid_filters.coordinates0_point(cells,size).reshape(-1,3,order='F') z=np.ones(cells.prod()) z[cells[:2].prod()*int(cells[2]/2):]=0 t = Table(np.column_stack((coords,z)),{'coords':3,'z':1}) g = Grid.from_table(t,'coords',['1_coords','z']) assert g.N_materials == g.cells[0]*2 and (g.material[:,:,-1]-g.material[:,:,0] == cells[0]).all() def test_from_table_recover(self,tmp_path): cells = np.random.randint(60,100,3) size = np.ones(3)+np.random.rand(3) s = seeds.from_random(size,np.random.randint(60,100)) grid = Grid.from_Voronoi_tessellation(cells,size,s) coords = grid_filters.coordinates0_point(cells,size) t = Table(np.column_stack((coords.reshape(-1,3,order='F'),grid.material.flatten(order='F'))),{'c':3,'m':1}) assert grid_equal(grid.sort().renumber(),Grid.from_table(t,'c',['m'])) @pytest.mark.parametrize('periodic',[True,False]) @pytest.mark.parametrize('direction',['x','y','z',['x','y'],'zy','xz',['x','y','z']]) def test_get_grain_boundaries(self,update,ref_path,periodic,direction): grid=Grid.load(ref_path/'get_grain_boundaries_8g12x15x20.vtr') current=grid.get_grain_boundaries(periodic,direction) if update: current.save(ref_path/f'get_grain_boundaries_8g12x15x20_{direction}_{periodic}.vtu',parallel=False) reference=VTK.load(ref_path/f'get_grain_boundaries_8g12x15x20_{"".join(direction)}_{periodic}.vtu') assert current.__repr__() == reference.__repr__()