def testArgwhereExecution(self):
x = arange(6, chunk_size=2).reshape(2, 3)
t = argwhere(x > 1)
res = self.executor.execute_tensor(t, concat=True)[0]
expected = np.argwhere(np.arange(6).reshape(2, 3) > 1)
self.assertTrue(np.array_equal(res, expected))
def testArgwhere(self):
cond = tensor([[True, False], [False, True]], chunk_size=1)
indices = argwhere(cond)
self.assertTrue(np.isnan(indices.shape[0]))
self.assertEqual(indices.shape[1], 2)
indices.tiles()
self.assertEqual(indices.nsplits[1], (1, 1))
def testArgwhere(self):
cond = tensor([[True, False], [False, True]], chunk_size=1)
indices = argwhere(cond)
self.assertTrue(np.isnan(indices.shape[0]))
self.assertEqual(indices.shape[1], 2)
self.assertEqual(calc_shape(indices), indices.shape)
self.assertEqual(
indices.op.calc_rough_shape(
tuple(t.rough_shape for t in indices.inputs)), (4, 2))
self.assertEqual(indices.rough_nbytes, 4 * 2 * indices.dtype.itemsize)
indices.tiles()
self.assertEqual(indices.nsplits[1], (1, 1))
chunk = indices.chunks[0]
self.assertTrue(np.isnan(calc_shape(chunk)[0]))
self.assertEqual(calc_shape(chunk)[1], chunk.shape[1])
self.assertEqual(chunk.rough_shape, (2, 1))
