import os import time import pytest import numpy as np from damask import VTK from damask import Geom from damask import Rotation from damask import util def geom_equal(a,b): return np.all(a.get_microstructure() == b.get_microstructure()) and \ np.all(a.get_grid() == b.get_grid()) and \ np.allclose(a.get_size(), b.get_size()) @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 Geom(x,[8e-6,5e-6,4e-6]) @pytest.fixture def reference_dir(reference_dir_base): """Directory containing reference results.""" return reference_dir_base/'Geom' class TestGeom: @pytest.mark.parametrize('flavor',['plain','explicit']) def test_duplicate(self,default,flavor): if flavor == 'plain': modified = default.duplicate() elif flavor == 'explicit': modified = default.duplicate( default.get_microstructure(), default.get_size(), default.get_origin() ) print(modified) assert geom_equal(default,modified) @pytest.mark.parametrize('masked',[True,False]) def test_set_microstructure(self,default,masked): old = default.get_microstructure() new = np.random.randint(200,size=default.grid) default.set_microstructure(np.ma.MaskedArray(new,np.full_like(new,masked))) assert np.all(default.microstructure==(old if masked else new)) def test_write_read_str(self,default,tmpdir): default.to_file(tmpdir/'default.geom') new = Geom.from_file(tmpdir/'default.geom') assert geom_equal(default,new) def test_write_read_file(self,default,tmpdir): with open(tmpdir/'default.geom','w') as f: default.to_file(f) with open(tmpdir/'default.geom') as f: new = Geom.from_file(f) assert geom_equal(default,new) def test_write_as_ASCII(self,default,tmpdir): with open(tmpdir/'str.geom','w') as f: f.write(default.as_ASCII()) with open(tmpdir/'str.geom') as f: new = Geom.from_file(f) assert geom_equal(default,new) def test_export_import_vtk(self,default,tmpdir): default.to_vtr(tmpdir/'default') assert geom_equal(default,Geom.from_vtr(tmpdir/'default.vtr')) def test_read_write_vtr(self,default,tmpdir): default.to_vtr(tmpdir/'default') for _ in range(10): time.sleep(.2) if os.path.exists(tmpdir/'default.vtr'): break new = Geom.from_vtr(tmpdir/'default.vtr') assert geom_equal(new,default) def test_invalid_vtr(self,tmpdir): v = VTK.from_rectilinearGrid(np.random.randint(5,10,3)*2,np.random.random(3) + 1.0) v.write(tmpdir/'no_materialpoint.vtr') for _ in range(10): time.sleep(.2) if os.path.exists(tmpdir/'no_materialpoint.vtr'): break with pytest.raises(ValueError): Geom.from_vtr(tmpdir/'no_materialpoint.vtr') @pytest.mark.parametrize('pack',[True,False]) def test_pack(self,default,tmpdir,pack): default.to_file(tmpdir/'default.geom',pack=pack) new = Geom.from_file(tmpdir/'default.geom') assert geom_equal(new,default) def test_invalid_combination(self,default): with pytest.raises(ValueError): default.duplicate(default.microstructure[1:,1:,1:],size=np.ones(3), autosize=True) def test_invalid_size(self,default): with pytest.raises(ValueError): default.duplicate(default.microstructure[1:,1:,1:],size=np.ones(2)) def test_invalid_origin(self,default): with pytest.raises(ValueError): default.duplicate(default.microstructure[1:,1:,1:],origin=np.ones(4)) def test_invalid_microstructure_size(self,default): microstructure = np.ones((3,3)) with pytest.raises(ValueError): default.duplicate(microstructure) def test_invalid_microstructure_type(self,default): microstructure = np.random.randint(1,300,(3,4,5))==1 with pytest.raises(TypeError): default.duplicate(microstructure) def test_invalid_homogenization(self,default): with pytest.raises(TypeError): default.set_homogenization(homogenization=0) @pytest.mark.parametrize('directions,reflect',[ (['x'], False), (['x','y','z'],True), (['z','x','y'],False), (['y','z'], False) ] ) def test_mirror(self,default,update,reference_dir,directions,reflect): modified = default.mirror(directions,reflect) tag = f'directions={"-".join(directions)}_reflect={reflect}' reference = reference_dir/f'mirror_{tag}.geom' if update: modified.to_file(reference) assert geom_equal(Geom.from_file(reference), modified) @pytest.mark.parametrize('directions',[ ['x'], ['x','y','z'], ['z','x','y'], ['y','z'], ] ) def test_flip(self,default,update,reference_dir,directions): modified = default.flip(directions) tag = f'directions={"-".join(directions)}' reference = reference_dir/f'flip_{tag}.geom' if update: modified.to_file(reference) assert geom_equal(Geom.from_file(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('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,reference_dir,stencil,selection,periodic): current = default.clean(stencil,selection,periodic) reference = reference_dir/f'clean_{stencil}_{"+".join(map(str,[None] if selection is None else selection))}_{periodic}' if update and stencil > 1: current.to_vtr(reference) for _ in range(10): time.sleep(.2) if os.path.exists(reference.with_suffix('.vtr')): break assert geom_equal(Geom.from_vtr(reference) if stencil > 1 else default, current ) @pytest.mark.parametrize('grid',[ (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,reference_dir,grid): modified = default.scale(grid) tag = f'grid={util.srepr(grid,"-")}' reference = reference_dir/f'scale_{tag}.geom' if update: modified.to_file(reference) assert geom_equal(Geom.from_file(reference), modified) def test_renumber(self,default): microstructure = default.get_microstructure() for m in np.unique(microstructure): microstructure[microstructure==m] = microstructure.max() + np.random.randint(1,30) modified = default.duplicate(microstructure) assert not geom_equal(modified,default) assert geom_equal(default, modified.renumber()) def test_substitute(self,default): offset = np.random.randint(1,500) modified = default.duplicate(default.get_microstructure() + offset) assert not geom_equal(modified,default) assert geom_equal(default, modified.substitute(np.arange(default.microstructure.max())+1+offset, np.arange(default.microstructure.max())+1)) @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 geom_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,reference_dir,Eulers): modified = default.rotate(Rotation.from_Eulers(Eulers,degrees=True)) tag = f'Eulers={util.srepr(Eulers,"-")}' reference = reference_dir/f'rotate_{tag}.geom' if update: modified.to_file(reference) assert geom_equal(Geom.from_file(reference), modified) def test_canvas(self,default): grid = default.grid grid_add = np.random.randint(0,30,(3)) modified = default.canvas(grid + grid_add) assert np.all(modified.microstructure[:grid[0],:grid[1],:grid[2]] == default.microstructure) @pytest.mark.parametrize('center1,center2',[(np.random.random(3)*.5,np.random.random(3)), (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))]) def test_add_primitive(self,diameter,center1,center2): """Same volume fraction for periodic microstructures and different center.""" o = np.random.random(3)-.5 g = np.random.randint(8,32,(3)) s = np.random.random(3)+.5 G_1 = Geom(np.ones(g,'i'),s,o).add_primitive(diameter,center1,1) G_2 = Geom(np.ones(g,'i'),s,o).add_primitive(diameter,center2,1) assert np.count_nonzero(G_1.microstructure!=2) == np.count_nonzero(G_2.microstructure!=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 geom = Geom(m,np.random.rand(3)).vicinity_offset(vicinity,offset,trigger=trigger) assert np.all(m2==geom.microstructure) @pytest.mark.parametrize('periodic',[True,False]) def test_vicinity_offset_invariant(self,default,periodic): old = default.get_microstructure() default.vicinity_offset(trigger=[old.max()+1,old.min()-1]) assert np.all(old==default.microstructure) @pytest.mark.parametrize('periodic',[True,False]) def test_tessellation_approaches(self,periodic): grid = 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 = Geom.from_Voronoi_tessellation( grid,size,seeds, periodic) Laguerre = Geom.from_Laguerre_tessellation(grid,size,seeds,np.ones(N_seeds),periodic) assert geom_equal(Laguerre,Voronoi) def test_Laguerre_weights(self): grid = 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(1, N_seeds+1) weights[ms-1] = np.random.random() Laguerre = Geom.from_Laguerre_tessellation(grid,size,seeds,weights,np.random.random()>0.5) assert np.all(Laguerre.microstructure == ms) @pytest.mark.parametrize('approach',['Laguerre','Voronoi']) def test_tessellate_bicrystal(self,approach): grid = np.random.randint(5,10,3)*2 size = grid.astype(np.float) seeds = np.vstack((size*np.array([0.5,0.25,0.5]),size*np.array([0.5,0.75,0.5]))) microstructure = np.ones(grid) microstructure[:,grid[1]//2:,:] = 2 if approach == 'Laguerre': geom = Geom.from_Laguerre_tessellation(grid,size,seeds,np.ones(2),np.random.random()>0.5) elif approach == 'Voronoi': geom = Geom.from_Voronoi_tessellation(grid,size,seeds, np.random.random()>0.5) assert np.all(geom.microstructure == microstructure)