def test_from_table_recover(self,tmp_path):
cells = np.random.randint(60,100,3)
size = np.ones(3)+np.random.rand(3)
s = seeds.from_random(size,np.random.randint(60,100))
grid = Grid.from_Voronoi_tessellation(cells,size,s)
coords = grid_filters.coordinates0_point(cells,size)
t = Table(np.column_stack((coords.reshape(-1,3,order='F'),grid.material.flatten(order='F'))),{'c':3,'m':1})
assert grid_equal(grid.sort().renumber(),Grid.from_table(t,'c',['m']))
def test_from_table(self):
cells = np.random.randint(60,100,3)
size = np.ones(3)+np.random.rand(3)
coords = grid_filters.coordinates0_point(cells,size).reshape(-1,3,order='F')
z=np.ones(cells.prod())
z[cells[:2].prod()*int(cells[2]/2):]=0
t = Table(np.column_stack((coords,z)),{'coords':3,'z':1})
t = t.add('indicator',t.get('coords')[:,0])
g = Grid.from_table(t,'coords',['indicator','z'])
assert g.N_materials == g.cells[0]*2 and (g.material[:,:,-1]-g.material[:,:,0] == cells[0]).all()