def test_sort_component(self):
x = np.random.random((5, 12))
t = Table(x, {'F': (3, 3), 'v': (3, )}, ['random test data'])
unsort = t.get('4_F')
t.sort_by('4_F')
sort = t.get('4_F')
assert np.all(np.sort(unsort, 0) == sort)
def test_rename_equivalent(self):
x = np.random.random((5, 13))
t = Table(x, {
'F': (3, 3),
'v': (3, ),
's': (1, )
}, ['random test data'])
s = t.get('s')
t.rename('s', 'u')
u = t.get('u')
assert np.all(s == u)
def test_sort_scalar(self):
x = np.random.random((5, 13))
t = Table(x, {
'F': (3, 3),
'v': (3, ),
's': (1, )
}, ['random test data'])
unsort = t.get('s')
t.sort_by('s')
sort = t.get('s')
assert np.all(np.sort(unsort, 0) == sort)
def test_join(self):
x = np.random.random((5, 13))
a = Table(x, {
'F': (3, 3),
'v': (3, ),
's': (1, )
}, ['random test data'])
y = np.random.random((5, 3))
b = Table(y, {'u': (3, )}, ['random test data'])
a.join(b)
assert np.array_equal(a.get('u'), b.get('u'))
def test_sort(self):
t = Table(np.array([[0,1,],[2,1,]]),
{'v':(2,)},
['test data'])\
.add('s',np.array(['b','a']))\
.sort_by('s')
assert np.all(t.get('v')[:, 0] == np.array([2, 0]))
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()
def test_sort(self):
t = Table(np.array([[
0,
1,
], [
2,
1,
]]), {'v': (2, )}, ['test data'])
t.add('s', np.array(['b', 'a']))
t.sort_by('s')
assert np.all(t.get('1_v') == np.array([2, 0]).reshape(2, 1))
def test_sort_revert(self):
x = np.random.random((5, 12))
t = Table(x, {'F': (3, 3), 'v': (3, )}, ['random test data'])
t.sort_by('4_F', ascending=False)
sort = t.get('4_F')
assert np.all(np.sort(sort, 0) == sort[::-1, :])
