def test_index_tricks():
mgrid = nd_grid()
g = mgrid[0:5, 0:5]
tile(g) # tileable means no loop exists
ogrid = nd_grid(sparse=True)
o = ogrid[0:5, 0:5]
tile(*o) # tilesable means no loop exists
def testIndexTricks(self):
mgrid = nd_grid()
g = mgrid[0:5, 0:5]
g.tiles() # tilesable means no loop exists
ogrid = nd_grid(sparse=True)
o = ogrid[0:5, 0:5]
[ob.tiles() for ob in o] # tilesable means no loop exists
def testIndexTrickExecution(self):
mgrid = nd_grid()
t = mgrid[0:5, 0:5]
res = self.executor.execute_tensor(t, concat=True)[0]
expected = np.lib.index_tricks.nd_grid()[0:5, 0:5]
np.testing.assert_equal(res, expected)
t = mgrid[-1:1:5j]
res = self.executor.execute_tensor(t, concat=True)[0]
expected = np.lib.index_tricks.nd_grid()[-1:1:5j]
np.testing.assert_equal(res, expected)
ogrid = nd_grid(sparse=True)
t = ogrid[0:5, 0:5]
res = [self.executor.execute_tensor(o, concat=True)[0] for o in t]
expected = np.lib.index_tricks.nd_grid(sparse=True)[0:5, 0:5]
[np.testing.assert_equal(r, e) for r, e in zip(res, expected)]
def test_index_trick_execution(setup):
mgrid = nd_grid()
t = mgrid[0:5, 0:5]
res = t.execute().fetch()
expected = np.lib.index_tricks.nd_grid()[0:5, 0:5]
np.testing.assert_equal(res, expected)
t = mgrid[-1:1:5j]
res = t.execute().fetch()
expected = np.lib.index_tricks.nd_grid()[-1:1:5j]
np.testing.assert_equal(res, expected)
ogrid = nd_grid(sparse=True)
t = ogrid[0:5, 0:5]
res = [o.execute().fetch() for o in t]
expected = np.lib.index_tricks.nd_grid(sparse=True)[0:5, 0:5]
[np.testing.assert_equal(r, e) for r, e in zip(res, expected)]
