def testWhere(self):
cond = tensor([[True, False], [False, True]], chunk_size=1)
x = tensor([1, 2], chunk_size=1)
y = tensor([3, 4], chunk_size=1)
arr = where(cond, x, y)
arr.tiles()
self.assertEqual(len(arr.chunks), 4)
self.assertTrue(
np.array_equal(arr.chunks[0].inputs[0].op.data, [[True]]))
self.assertTrue(np.array_equal(arr.chunks[0].inputs[1].op.data, [1]))
self.assertTrue(np.array_equal(arr.chunks[0].inputs[2].op.data, [3]))
self.assertTrue(
np.array_equal(arr.chunks[1].inputs[0].op.data, [[False]]))
self.assertTrue(np.array_equal(arr.chunks[1].inputs[1].op.data, [2]))
self.assertTrue(np.array_equal(arr.chunks[1].inputs[2].op.data, [4]))
self.assertTrue(
np.array_equal(arr.chunks[2].inputs[0].op.data, [[False]]))
self.assertTrue(np.array_equal(arr.chunks[2].inputs[1].op.data, [1]))
self.assertTrue(np.array_equal(arr.chunks[2].inputs[2].op.data, [3]))
self.assertTrue(
np.array_equal(arr.chunks[3].inputs[0].op.data, [[True]]))
self.assertTrue(np.array_equal(arr.chunks[3].inputs[1].op.data, [2]))
self.assertTrue(np.array_equal(arr.chunks[3].inputs[2].op.data, [4]))
with self.assertRaises(ValueError):
where(cond, x)
x = arange(9.).reshape(3, 3)
y = where(x < 5, x, -1)
self.assertEqual(y.dtype, np.float64)
def testWhereExecution(self):
raw_cond = np.random.randint(0, 2, size=(4, 4), dtype='?')
raw_x = np.random.rand(4, 1)
raw_y = np.random.rand(4, 4)
cond, x, y = tensor(raw_cond, chunk_size=2), tensor(
raw_x, chunk_size=2), tensor(raw_y, chunk_size=2)
arr = where(cond, x, y)
res = self.executor.execute_tensor(arr, concat=True)
self.assertTrue(
np.array_equal(res[0], np.where(raw_cond, raw_x, raw_y)))
raw_cond = sps.csr_matrix(
np.random.randint(0, 2, size=(4, 4), dtype='?'))
raw_x = sps.random(4, 1, density=.1)
raw_y = sps.random(4, 4, density=.1)
cond, x, y = tensor(raw_cond, chunk_size=2), tensor(
raw_x, chunk_size=2), tensor(raw_y, chunk_size=2)
arr = where(cond, x, y)
res = self.executor.execute_tensor(arr, concat=True)[0]
self.assertTrue(
np.array_equal(
res.toarray(),
np.where(raw_cond.toarray(), raw_x.toarray(),
raw_y.toarray())))