123 lines
5.9 KiB
Python
123 lines
5.9 KiB
Python
import pytest
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import numpy as np
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from damask import grid_filters
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class TestGridFilters:
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def test_cell_coord0(self):
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size = np.random.random(3)
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grid = np.random.randint(8,32,(3))
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coord = grid_filters.cell_coord0(grid,size)
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assert np.allclose(coord[0,0,0],size/grid*.5) and coord.shape == tuple(grid) + (3,)
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def test_node_coord0(self):
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size = np.random.random(3)
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grid = np.random.randint(8,32,(3))
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coord = grid_filters.node_coord0(grid,size)
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assert np.allclose(coord[-1,-1,-1],size) and coord.shape == tuple(grid+1) + (3,)
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def test_coord0(self):
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size = np.random.random(3)
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grid = np.random.randint(8,32,(3))
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c = grid_filters.cell_coord0(grid+1,size+size/grid)
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n = grid_filters.node_coord0(grid,size) + size/grid*.5
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assert np.allclose(c,n)
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@pytest.mark.parametrize('mode',['cell','node'])
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def test_grid_DNA(self,mode):
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"""Ensure that xx_coord0_gridSizeOrigin is the inverse of xx_coord0."""
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grid = np.random.randint(8,32,(3))
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size = np.random.random(3)
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origin = np.random.random(3)
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coord0 = eval('grid_filters.{}_coord0(grid,size,origin)'.format(mode)) # noqa
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_grid,_size,_origin = eval('grid_filters.{}_coord0_gridSizeOrigin(coord0.reshape(-1,3,order="F"))'.format(mode))
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assert np.allclose(grid,_grid) and np.allclose(size,_size) and np.allclose(origin,_origin)
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def test_displacement_fluct_equivalence(self):
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"""Ensure that fluctuations are periodic."""
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size = np.random.random(3)
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grid = np.random.randint(8,32,(3))
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F = np.random.random(tuple(grid)+(3,3))
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assert np.allclose(grid_filters.node_displacement_fluct(size,F),
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grid_filters.cell_2_node(grid_filters.cell_displacement_fluct(size,F)))
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def test_interpolation_nonperiodic(self):
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size = np.random.random(3)
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grid = np.random.randint(8,32,(3))
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F = np.random.random(tuple(grid)+(3,3))
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assert np.allclose(grid_filters.node_coord(size,F) [1:-1,1:-1,1:-1],grid_filters.cell_2_node(
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grid_filters.cell_coord(size,F))[1:-1,1:-1,1:-1])
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@pytest.mark.parametrize('mode',['cell','node'])
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def test_coord0_origin(self,mode):
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origin= np.random.random(3)
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size = np.random.random(3) # noqa
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grid = np.random.randint(8,32,(3))
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shifted = eval('grid_filters.{}_coord0(grid,size,origin)'.format(mode))
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unshifted = eval('grid_filters.{}_coord0(grid,size)'.format(mode))
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if mode == 'cell':
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assert np.allclose(shifted,unshifted+np.broadcast_to(origin,tuple(grid) +(3,)))
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elif mode == 'node':
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assert np.allclose(shifted,unshifted+np.broadcast_to(origin,tuple(grid+1)+(3,)))
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@pytest.mark.parametrize('function',[grid_filters.cell_displacement_avg,
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grid_filters.node_displacement_avg])
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def test_displacement_avg_vanishes(self,function):
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"""Ensure that random fluctuations in F do not result in average displacement."""
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size = np.random.random(3)
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grid = np.random.randint(8,32,(3))
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F = np.random.random(tuple(grid)+(3,3))
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F += np.eye(3) - np.average(F,axis=(0,1,2))
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assert np.allclose(function(size,F),0.0)
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@pytest.mark.parametrize('function',[grid_filters.cell_displacement_fluct,
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grid_filters.node_displacement_fluct])
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def test_displacement_fluct_vanishes(self,function):
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"""Ensure that constant F does not result in fluctuating displacement."""
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size = np.random.random(3)
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grid = np.random.randint(8,32,(3))
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F = np.broadcast_to(np.random.random((3,3)), tuple(grid)+(3,3))
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assert np.allclose(function(size,F),0.0)
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@pytest.mark.parametrize('function',[grid_filters.coord0_check,
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grid_filters.node_coord0_gridSizeOrigin,
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grid_filters.cell_coord0_gridSizeOrigin])
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def test_invalid_coordinates(self,function):
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invalid_coordinates = np.random.random((np.random.randint(12,52),3))
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with pytest.raises(ValueError):
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function(invalid_coordinates)
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@pytest.mark.parametrize('function',[grid_filters.node_coord0_gridSizeOrigin,
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grid_filters.cell_coord0_gridSizeOrigin])
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def test_uneven_spaced_coordinates(self,function):
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start = np.random.random(3)
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end = np.random.random(3)*10. + start
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grid = np.random.randint(8,32,(3))
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uneven = np.stack(np.meshgrid(np.logspace(start[0],end[0],grid[0]),
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np.logspace(start[1],end[1],grid[1]),
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np.logspace(start[2],end[2],grid[2]),indexing = 'ij'),
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axis = -1).reshape((grid.prod(),3),order='F')
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with pytest.raises(ValueError):
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function(uneven)
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@pytest.mark.parametrize('mode',[True,False])
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@pytest.mark.parametrize('function',[grid_filters.node_coord0_gridSizeOrigin,
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grid_filters.cell_coord0_gridSizeOrigin])
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def test_unordered_coordinates(self,function,mode):
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origin = np.random.random(3)
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size = np.random.random(3)*10.+origin
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grid = np.random.randint(8,32,(3))
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unordered = grid_filters.node_coord0(grid,size,origin).reshape(-1,3)
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if mode:
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with pytest.raises(ValueError):
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function(unordered,mode)
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else:
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function(unordered,mode)
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def test_regrid(self):
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size = np.random.random(3)
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grid = np.random.randint(8,32,(3))
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F = np.broadcast_to(np.eye(3), tuple(grid)+(3,3))
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assert all(grid_filters.regrid(size,F,grid) == np.arange(grid.prod()))
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