134 lines
5.6 KiB
Python
134 lines
5.6 KiB
Python
import copy
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import os
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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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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_size() == b.get_size()) and \
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np.all(a.get_grid() == b.get_grid())
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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 os.path.join(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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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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@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 = 'directions={}_reflect={}'.format('-'.join(directions),reflect)
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reference = os.path.join(reference_dir,'mirror_{}.geom'.format(tag))
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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 = 'stencil={}'.format(stencil)
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reference = os.path.join(reference_dir,'clean_{}.geom'.format(tag))
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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 = 'grid={}'.format('-'.join([str(x) for x in grid]))
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reference = os.path.join(reference_dir,'scale_{}.geom'.format(tag))
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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('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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