def test_ind_to_sub_array(self):
data_local = map(lambda x: (x, array([1.0])), range(1, 13))
dims = [2, 3, 2]
subs = map(lambda x: x[0], indtosub(data_local, dims))
assert (allclose(
subs,
array([(1, 1, 1), (2, 1, 1), (1, 2, 1), (2, 2, 1), (1, 3, 1),
(2, 3, 1), (1, 1, 2), (2, 1, 2), (1, 2, 2), (2, 2, 2),
(1, 3, 2), (2, 3, 2)])))
def test_ind_to_sub_rdd(self):
data_local = map(lambda x: (x, array([1.0])), range(1, 13))
data = self.sc.parallelize(data_local)
dims = [2, 3, 2]
#subs = data.map(lambda (k, _): indtosub(k, dims)).collect()
subs = indtosub(data, dims).map(lambda (k, _): k).collect()
assert(allclose(subs, array([(1, 1, 1), (2, 1, 1), (1, 2, 1), (2, 2, 1), (1, 3, 1), (2, 3, 1),
(1, 1, 2), (2, 1, 2), (1, 2, 2), (2, 2, 2), (1, 3, 2), (2, 3, 2)])))
def test_ind_to_sub_rdd(self):
data_local = map(lambda x: (x, array([1.0])), range(1, 13))
data = self.sc.parallelize(data_local)
dims = [2, 3, 2]
#subs = data.map(lambda (k, _): indtosub(k, dims)).collect()
subs = indtosub(data, dims).map(lambda (k, _): k).collect()
assert (allclose(
subs,
array([(1, 1, 1), (2, 1, 1), (1, 2, 1), (2, 2, 1), (1, 3, 1),
(2, 3, 1), (1, 1, 2), (2, 1, 2), (1, 2, 2), (2, 2, 2),
(1, 3, 2), (2, 3, 2)])))
def test_ind_to_sub_array(self):
data_local = map(lambda x: (x, array([1.0])), range(1, 13))
dims = [2, 3, 2]
subs = map(lambda x: x[0], indtosub(data_local, dims))
assert(allclose(subs, array([(1, 1, 1), (2, 1, 1), (1, 2, 1), (2, 2, 1), (1, 3, 1), (2, 3, 1),
(1, 1, 2), (2, 1, 2), (1, 2, 2), (2, 2, 2), (1, 3, 2), (2, 3, 2)])))
