198 lines
8.3 KiB
Python
198 lines
8.3 KiB
Python
import copy
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import pytest
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import numpy as np
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from damask import Geom
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from damask import Rotation
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from damask import util
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def geom_equal(a,b):
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return np.all(a.get_microstructure() == b.get_microstructure()) and \
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np.all(a.get_grid() == b.get_grid()) and \
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np.allclose(a.get_size(), b.get_size())
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@pytest.fixture
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def default():
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"""Simple geometry."""
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x=np.concatenate((np.ones(40,dtype=int),
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np.arange(2,42),
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np.ones(40,dtype=int)*2,
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np.arange(1,41))).reshape(8,5,4)
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return Geom(x,[8e-6,5e-6,4e-6])
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@pytest.fixture
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def reference_dir(reference_dir_base):
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"""Directory containing reference results."""
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return reference_dir_base/'Geom'
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class TestGeom:
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def test_update(self,default):
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modified = copy.deepcopy(default)
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modified.update(
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default.get_microstructure(),
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default.get_size(),
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default.get_origin()
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)
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print(modified)
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assert geom_equal(modified,default)
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def test_write_read_str(self,default,tmpdir):
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default.to_file(str(tmpdir.join('default.geom')))
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new = Geom.from_file(str(tmpdir.join('default.geom')))
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assert geom_equal(new,default)
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def test_write_read_file(self,default,tmpdir):
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with open(tmpdir.join('default.geom'),'w') as f:
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default.to_file(f)
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with open(tmpdir.join('default.geom')) as f:
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new = Geom.from_file(f)
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assert geom_equal(new,default)
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@pytest.mark.parametrize('pack',[True,False])
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def test_pack(self,default,tmpdir,pack):
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default.to_file(tmpdir.join('default.geom'),pack=pack)
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new = Geom.from_file(tmpdir.join('default.geom'))
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assert geom_equal(new,default)
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def test_invalid_combination(self,default):
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with pytest.raises(ValueError):
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default.update(default.microstructure[1:,1:,1:],size=np.ones(3), rescale=True)
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def test_invalid_size(self,default):
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with pytest.raises(ValueError):
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default.update(default.microstructure[1:,1:,1:],size=np.ones(2))
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def test_invalid_microstructure(self,default):
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with pytest.raises(ValueError):
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default.update(default.microstructure[1])
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def test_invalid_homogenization(self,default):
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with pytest.raises(TypeError):
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default.set_homogenization(homogenization=0)
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@pytest.mark.parametrize('directions,reflect',[
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(['x'], False),
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(['x','y','z'],True),
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(['z','x','y'],False),
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(['y','z'], False)
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]
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)
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def test_mirror(self,default,update,reference_dir,directions,reflect):
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modified = copy.deepcopy(default)
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modified.mirror(directions,reflect)
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tag = f'directions={"-".join(directions)}_reflect={reflect}'
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reference = reference_dir/f'mirror_{tag}.geom'
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if update: modified.to_file(reference)
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assert geom_equal(modified,Geom.from_file(reference))
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@pytest.mark.parametrize('stencil',[1,2,3,4])
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def test_clean(self,default,update,reference_dir,stencil):
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modified = copy.deepcopy(default)
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modified.clean(stencil)
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tag = f'stencil={stencil}'
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reference = reference_dir/f'clean_{tag}.geom'
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if update: modified.to_file(reference)
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assert geom_equal(modified,Geom.from_file(reference))
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@pytest.mark.parametrize('grid',[
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(10,11,10),
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[10,13,10],
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np.array((10,10,10)),
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np.array((8, 10,12)),
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np.array((5, 4, 20)),
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np.array((10,20,2))
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]
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)
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def test_scale(self,default,update,reference_dir,grid):
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modified = copy.deepcopy(default)
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modified.scale(grid)
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tag = f'grid={util.srepr(grid,"-")}'
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reference = reference_dir/f'scale_{tag}.geom'
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if update: modified.to_file(reference)
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assert geom_equal(modified,Geom.from_file(reference))
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def test_renumber(self,default):
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modified = copy.deepcopy(default)
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microstructure = modified.get_microstructure()
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for m in np.unique(microstructure):
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microstructure[microstructure==m] = microstructure.max() + np.random.randint(1,30)
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modified.update(microstructure)
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assert not geom_equal(modified,default)
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modified.renumber()
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assert geom_equal(modified,default)
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def test_substitute(self,default):
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modified = copy.deepcopy(default)
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microstructure = modified.get_microstructure()
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offset = np.random.randint(1,500)
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microstructure+=offset
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modified.update(microstructure)
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assert not geom_equal(modified,default)
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modified.substitute(np.arange(default.microstructure.max())+1+offset,
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np.arange(default.microstructure.max())+1)
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assert geom_equal(modified,default)
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@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]),
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np.array([1,0,0,175]),np.array([0,-1,0,178]),np.array([0,0,1,180])])
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def test_rotate360(self,default,axis_angle):
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modified = copy.deepcopy(default)
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for i in range(np.rint(360/axis_angle[3]).astype(int)):
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modified.rotate(Rotation.from_axis_angle(axis_angle,degrees=True))
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assert geom_equal(modified,default)
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@pytest.mark.parametrize('Eulers',[[32.0,68.0,21.0],
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[0.0,32.0,240.0]])
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def test_rotate(self,default,update,reference_dir,Eulers):
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modified = copy.deepcopy(default)
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modified.rotate(Rotation.from_Eulers(Eulers,degrees=True))
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tag = f'Eulers={util.srepr(Eulers,"-")}'
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reference = reference_dir/f'rotate_{tag}.geom'
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if update: modified.to_file(reference)
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assert geom_equal(modified,Geom.from_file(reference))
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def test_canvas(self,default):
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grid_add = np.random.randint(0,30,(3))
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modified = copy.deepcopy(default)
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modified.canvas(modified.grid + grid_add)
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e = default.grid
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assert np.all(modified.microstructure[:e[0],:e[1],:e[2]] == default.microstructure)
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@pytest.mark.parametrize('periodic',[True,False])
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def test_tessellation_approaches(self,periodic):
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grid = np.random.randint(10,20,3)
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size = np.random.random(3) + 1.0
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N_seeds= np.random.randint(10,30)
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seeds = np.random.rand(N_seeds,3) * np.broadcast_to(size,(N_seeds,3))
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Voronoi = Geom.from_Voronoi_tessellation( grid,size,seeds, periodic)
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Laguerre = Geom.from_Laguerre_tessellation(grid,size,seeds,np.ones(N_seeds),periodic)
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assert geom_equal(Laguerre,Voronoi)
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def test_Laguerre_weights(self):
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grid = np.random.randint(10,20,3)
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size = np.random.random(3) + 1.0
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N_seeds= np.random.randint(10,30)
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seeds = np.random.rand(N_seeds,3) * np.broadcast_to(size,(N_seeds,3))
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weights= np.full((N_seeds),-np.inf)
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ms = np.random.randint(1, N_seeds+1)
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weights[ms-1] = np.random.random()
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Laguerre = Geom.from_Laguerre_tessellation(grid,size,seeds,weights,np.random.random()>0.5)
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assert np.all(Laguerre.microstructure == ms)
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@pytest.mark.parametrize('approach',['Laguerre','Voronoi'])
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def test_tessellate_bicrystal(self,approach):
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grid = np.random.randint(5,10,3)*2
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size = grid.astype(np.float)
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seeds = np.vstack((size*np.array([0.5,0.25,0.5]),size*np.array([0.5,0.75,0.5])))
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microstructure = np.ones(grid)
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microstructure[:,grid[1]//2:,:] = 2
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if approach == 'Laguerre':
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geom = Geom.from_Laguerre_tessellation(grid,size,seeds,np.ones(2),np.random.random()>0.5)
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elif approach == 'Voronoi':
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geom = Geom.from_Voronoi_tessellation(grid,size,seeds, np.random.random()>0.5)
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assert np.all(geom.microstructure == microstructure)
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