72 lines
3.3 KiB
Python
72 lines
3.3 KiB
Python
import pytest
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import numpy as np
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from scipy.spatial import cKDTree
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from damask import seeds
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from damask import grid_filters
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from damask import Grid
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class TestSeeds:
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@pytest.mark.parametrize('cells',[None,np.ones(3,dtype='i')*10])
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def test_from_random(self,cells):
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N_seeds = np.random.randint(30,300)
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size = np.ones(3) + np.random.random(3)
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coords = seeds.from_random(size,N_seeds,cells)
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assert (0<=coords).all() and (coords<size).all()
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@pytest.mark.parametrize('periodic',[True,False])
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def test_from_Poisson_disc(self,periodic):
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N_seeds = np.random.randint(30,300)
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N_candidates = N_seeds//15
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distance = np.random.random()
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size = np.ones(3)*distance*N_seeds
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coords = seeds.from_Poisson_disc(size,N_seeds,N_candidates,distance,periodic=periodic)
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min_dists, _ = cKDTree(coords,boxsize=size).query(coords, 2) if periodic else \
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cKDTree(coords).query(coords, 2)
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assert (0<= coords).all() and (coords<size).all() and np.min(min_dists[:,1])>=distance
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@pytest.mark.parametrize('periodic',[True,False])
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def test_from_Poisson_disc_invalid(self,periodic):
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N_seeds = np.random.randint(30,300)
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N_candidates = N_seeds//15
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distance = np.random.random()
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size = np.ones(3)*distance
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with pytest.raises(ValueError):
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seeds.from_Poisson_disc(size,N_seeds,N_candidates,distance,periodic=periodic)
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def test_from_grid_reconstruct(self):
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cells = np.random.randint(10,20,3)
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N_seeds = np.random.randint(30,300)
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size = np.ones(3) + np.random.random(3)
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coords = seeds.from_random(size,N_seeds,cells)
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grid_1 = Grid.from_Voronoi_tessellation(cells,size,coords)
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coords,material = seeds.from_grid(grid_1)
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grid_2 = Grid.from_Voronoi_tessellation(cells,size,coords,material)
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assert (grid_2.material==grid_1.material).all()
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@pytest.mark.parametrize('periodic',[True,False])
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@pytest.mark.parametrize('average',[True,False])
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def test_from_grid_grid(self,periodic,average):
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cells = np.random.randint(10,20,3)
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size = np.ones(3) + np.random.random(3)
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coords = grid_filters.coordinates0_point(cells,size).reshape(-1,3)
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np.random.shuffle(coords)
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grid_1 = Grid.from_Voronoi_tessellation(cells,size,coords)
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coords,material = seeds.from_grid(grid_1,average=average,periodic=periodic)
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grid_2 = Grid.from_Voronoi_tessellation(cells,size,coords,material)
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assert (grid_2.material==grid_1.material).all()
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@pytest.mark.parametrize('periodic',[True,False])
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@pytest.mark.parametrize('average',[True,False])
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@pytest.mark.parametrize('invert',[True,False])
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def test_from_grid_selection(self,periodic,average,invert):
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cells = np.random.randint(10,20,3)
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N_seeds = np.random.randint(30,300)
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size = np.ones(3) + np.random.random(3)
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coords = seeds.from_random(size,N_seeds,cells)
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grid = Grid.from_Voronoi_tessellation(cells,size,coords)
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selection=np.random.randint(N_seeds)+1
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coords,material = seeds.from_grid(grid,average=average,periodic=periodic,invert_selection=invert,selection=[selection])
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assert selection not in material if invert else (selection==material).all()
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