import copy import os import pytest import numpy as np from damask import Geom def geom_equal(a,b): return np.all(a.get_microstructure() == b.get_microstructure()) and \ np.all(a.get_size() == b.get_size()) and \ np.all(a.get_grid() == b.get_grid()) @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) return Geom(x,[8e-6,5e-6,4e-6]) @pytest.fixture def reference_dir(reference_dir_base): """Directory containing reference results.""" return os.path.join(reference_dir_base,'Geom') class TestGeom: def test_update(self,default): modified = copy.deepcopy(default) modified.update( default.get_microstructure(), default.get_size(), default.get_origin() ) assert geom_equal(modified,default) def test_write_read_str(self,default,tmpdir): default.to_file(str(tmpdir.join('default.geom'))) new = Geom.from_file(str(tmpdir.join('default.geom'))) assert geom_equal(new,default) def test_write_read_file(self,default,tmpdir): with open(tmpdir.join('default.geom'),'w') as f: default.to_file(f) with open(tmpdir.join('default.geom')) as f: new = Geom.from_file(f) assert geom_equal(new,default) @pytest.mark.parametrize('pack',[True,False]) def test_pack(self,default,tmpdir,pack): default.to_file(tmpdir.join('default.geom'),pack=pack) new = Geom.from_file(tmpdir.join('default.geom')) assert geom_equal(new,default) @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 = copy.deepcopy(default) modified.mirror(directions,reflect) tag = 'directions={}_reflect={}'.format('-'.join(directions),reflect) reference = os.path.join(reference_dir,'mirror_{}.geom'.format(tag)) if update: modified.to_file(reference) assert geom_equal(modified,Geom.from_file(reference)) @pytest.mark.parametrize('stencil',[1,2,3,4]) def test_clean(self,default,update,reference_dir,stencil): modified = copy.deepcopy(default) modified.clean(stencil) tag = 'stencil={}'.format(stencil) reference = os.path.join(reference_dir,'clean_{}.geom'.format(tag)) if update: modified.to_file(reference) assert geom_equal(modified,Geom.from_file(reference)) @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 = copy.deepcopy(default) modified.scale(grid) tag = 'grid={}'.format('-'.join([str(x) for x in grid])) reference = os.path.join(reference_dir,'scale_{}.geom'.format(tag)) if update: modified.to_file(reference) assert geom_equal(modified,Geom.from_file(reference)) @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)