def run_script(script,
data=None,
n_workers=1,
mode='exec',
command_argv=None,
retry_when_fail=False,
odps_params=None,
session=None,
run_kwargs=None):
from mars.remote.run_script import _extract_inputs
if hasattr(script, 'read'):
code = script.read()
else:
with open(os.path.abspath(script), 'rb') as f:
code = f.read()
inputs = _extract_inputs(data)
op = RunScript(data=data,
code=to_binary(code),
world_size=n_workers,
retry_when_fail=retry_when_fail,
command_args=command_argv)
op.extra_params['project'] = odps_params['project']
op.extra_params['endpoint'] = os.environ.get(
'ODPS_RUNTIME_ENDPOINT') or odps_params['endpoint']
return op(inputs).execute(session=session,
**(run_kwargs or {})).fetch(session=session)
def testTokenize(self):
import shutil
import tempfile
class TestEnum(Enum):
VAL1 = 'val1'
tempdir = tempfile.mkdtemp('mars_test_utils_')
try:
filename = os.path.join(tempdir, 'test_npa.dat')
mmp_array = np.memmap(filename, dtype=float, mode='w+', shape=(3, 4))
mmp_array[:] = np.random.random((3, 4)).astype(float)
mmp_array.flush()
del mmp_array
mmp_array1 = np.memmap(filename, dtype=float, shape=(3, 4))
mmp_array2 = np.memmap(filename, dtype=float, shape=(3, 4))
try:
v = [1, 2.3, '456', u'789', b'101112', None, np.ndarray, [912, 'uvw'],
np.arange(0, 10), np.array(10), np.array([b'\x01\x32\xff']),
np.int64, TestEnum.VAL1]
copy_v = copy.deepcopy(v)
self.assertEqual(utils.tokenize(v + [mmp_array1], ext_data=1234),
utils.tokenize(copy_v + [mmp_array2], ext_data=1234))
finally:
del mmp_array1, mmp_array2
finally:
shutil.rmtree(tempdir)
v = {'a', 'xyz', 'uvw'}
self.assertEqual(utils.tokenize(v), utils.tokenize(copy.deepcopy(v)))
v = dict(x='abcd', y=98765)
self.assertEqual(utils.tokenize(v), utils.tokenize(copy.deepcopy(v)))
v = dict(x=dict(a=1, b=[1, 2, 3]), y=12345)
self.assertEqual(utils.tokenize(v), utils.tokenize(copy.deepcopy(v)))
# pandas relative
if pd is not None:
df = pd.DataFrame([[utils.to_binary('测试'), utils.to_text('数据')]],
index=['a'], columns=['中文', 'data'])
v = [df, df.index, df.columns, df['data']]
self.assertEqual(utils.tokenize(v), utils.tokenize(copy.deepcopy(v)))
non_tokenizable_cls = type('non_tokenizable_cls', (object,), {})
with self.assertRaises(TypeError):
utils.tokenize(non_tokenizable_cls())
class CustomizedTokenize(object):
def __mars_tokenize__(self):
return id(type(self)), id(non_tokenizable_cls)
self.assertEqual(utils.tokenize(CustomizedTokenize()),
utils.tokenize(CustomizedTokenize()))
def distribute(self, uid):
if not isinstance(uid, six.string_types):
return 0
id_parts = uid.split(':')
if len(id_parts) == 2:
allocate_id = int(hashlib.md5(to_binary(uid)).hexdigest(), 16) % (self.n_process - 1) + 1
return allocate_id
elif id_parts[0] == 'w':
return int(id_parts[1])
else:
return 0
def testAttributeAsDict(self):
node4 = Node4(a=to_binary('中文'),
b=np.random.randint(4, size=(3, 4)),
c=np.datetime64(datetime.datetime.now()),
d=np.timedelta64(datetime.timedelta(seconds=1234)),
e=np.dtype('int'),
f={'a': [True, False, False], 'd': [False, None]},
h=(1234, to_text('测试'), '属性', None, np.datetime64('1066-10-13'),
np.timedelta64(1, 'D'), np.dtype([('x', 'i4'), ('y', 'f4')])),
i=(slice(10), slice(0, 2), None, slice(2, 0, -1)),
j=Node5(a='aa'),
k=[Node5(a='bb'), None],
l=Node6(b=3, nid=1))
pbs = ProtobufSerializeProvider()
serial = node4.serialize(pbs)
d_node4 = Node4.deserialize(pbs, serial)
self.assertEqual(node4.a, d_node4.a)
self.assertTrue(np.array_equal(node4.b, d_node4.b))
self.assertEqual(node4.c, d_node4.c)
self.assertEqual(node4.d, d_node4.d)
self.assertEqual(node4.e, d_node4.e)
self.assertEqual(node4.f, d_node4.f)
self.assertFalse(hasattr(d_node4, 'g'))
self.assertEqual(node4.h, d_node4.h)
self.assertEqual(node4.i, d_node4.i)
self.assertEqual(node4.j.a, d_node4.j.a)
self.assertEqual(node4.k[0].a, d_node4.k[0].a)
self.assertIsNone(d_node4.k[1])
self.assertIsInstance(d_node4.l, Node7)
self.assertEqual(d_node4.l.b, 3)
jss = JsonSerializeProvider()
serial = node4.serialize(jss)
serial = json.loads(json.dumps(serial), object_hook=OrderedDict)
d_node4 = Node4.deserialize(jss, serial)
self.assertEqual(node4.a, d_node4.a)
self.assertTrue(np.array_equal(node4.b, d_node4.b))
self.assertEqual(node4.c, d_node4.c)
self.assertEqual(node4.d, d_node4.d)
self.assertEqual(node4.e, d_node4.e)
self.assertEqual(node4.f, d_node4.f)
self.assertFalse(hasattr(d_node4, 'g'))
self.assertEqual(node4.h, d_node4.h)
self.assertEqual(node4.i, d_node4.i)
self.assertEqual(node4.j.a, d_node4.j.a)
self.assertEqual(node4.k[0].a, d_node4.k[0].a)
self.assertIsNone(d_node4.k[1])
self.assertIsInstance(d_node4.l, Node7)
self.assertEqual(d_node4.l.b, 3)
def testTokenize(self):
v = (1, 2.3, '456', u'789', b'101112', None, np.ndarray,
[912, 'uvw'], np.arange(0, 10), np.int64)
self.assertEqual(utils.tokenize(v), utils.tokenize(copy.deepcopy(v)))
v = {'a', 'xyz', 'uvw'}
self.assertEqual(utils.tokenize(v), utils.tokenize(copy.deepcopy(v)))
v = dict(x='abcd', y=98765)
self.assertEqual(utils.tokenize(v), utils.tokenize(copy.deepcopy(v)))
# pandas relative
if pd is not None:
df = pd.DataFrame([[utils.to_binary('测试'), utils.to_text('数据')]],
index=['a'], columns=['中文', 'data'])
v = [df, df.index, df.columns, df['data']]
self.assertEqual(utils.tokenize(v), utils.tokenize(copy.deepcopy(v)))
def run_script(script,
n_workers=1,
mode='exec',
command_argv=None,
odps_params=None,
session=None,
run_kwargs=None):
if hasattr(script, 'read'):
code = script.read()
else:
with open(os.path.abspath(script), 'rb') as f:
code = f.read()
if mode not in ['exec', 'spawn']:
raise TypeError('Unsupported mode {}'.format(mode))
op = RunScript(code=to_binary(code),
mode=mode,
world_size=n_workers,
command_args=command_argv)
op.extra_params['project'] = odps_params['project']
op.extra_params['endpoint'] = odps_params['endpoint']
return op().execute(session=session, **(run_kwargs
or {})).fetch(session=session)
def testStringConversion(self):
s = None
self.assertIsNone(utils.to_binary(s))
self.assertIsNone(utils.to_str(s))
self.assertIsNone(utils.to_text(s))
s = 'abcdefg'
self.assertIsInstance(utils.to_binary(s), bytes)
self.assertEqual(utils.to_binary(s), b'abcdefg')
self.assertIsInstance(utils.to_str(s), str)
self.assertEqual(utils.to_str(s), 'abcdefg')
self.assertIsInstance(utils.to_text(s), unicode)
self.assertEqual(utils.to_text(s), u'abcdefg')
ustr = type('ustr', (str, ), {})
self.assertIsInstance(utils.to_str(ustr(s)), str)
self.assertEqual(utils.to_str(ustr(s)), 'abcdefg')
s = b'abcdefg'
self.assertIsInstance(utils.to_binary(s), bytes)
self.assertEqual(utils.to_binary(s), b'abcdefg')
self.assertIsInstance(utils.to_str(s), str)
self.assertEqual(utils.to_str(s), 'abcdefg')
self.assertIsInstance(utils.to_text(s), unicode)
self.assertEqual(utils.to_text(s), u'abcdefg')
ubytes = type('ubytes', (bytes, ), {})
self.assertIsInstance(utils.to_binary(ubytes(s)), bytes)
self.assertEqual(utils.to_binary(ubytes(s)), b'abcdefg')
s = u'abcdefg'
self.assertIsInstance(utils.to_binary(s), bytes)
self.assertEqual(utils.to_binary(s), b'abcdefg')
self.assertIsInstance(utils.to_str(s), str)
self.assertEqual(utils.to_str(s), 'abcdefg')
self.assertIsInstance(utils.to_text(s), unicode)
self.assertEqual(utils.to_text(s), u'abcdefg')
uunicode = type('uunicode', (unicode, ), {})
self.assertIsInstance(utils.to_text(uunicode(s)), unicode)
self.assertEqual(utils.to_text(uunicode(s)), u'abcdefg')
with self.assertRaises(TypeError):
utils.to_binary(utils)
with self.assertRaises(TypeError):
utils.to_str(utils)
with self.assertRaises(TypeError):
utils.to_text(utils)
def testAttributeAsDict(self):
other_data = {}
if pd:
df = pd.DataFrame(
{
'a': [1, 2, 3],
'b': [to_text('测试'), to_binary('属性'), 'c']
},
index=[[0, 0, 1], ['测试', '属性', '测试']])
other_data['m'] = df.columns
other_data['mm'] = df.index
other_data['n'] = df['b']
other_data['o'] = df
other_data['p'] = [df.columns, df.index, df['a'], df]
node4 = Node4(a=to_binary('中文'),
b=np.random.randint(4, size=(3, 4)),
c=np.datetime64(datetime.datetime.now()),
d=np.timedelta64(datetime.timedelta(seconds=1234)),
e=np.dtype('int'),
f={
'a': [True, False, False],
'd': [False, None]
},
h=(1234, to_text('测试'), '属性', None,
np.datetime64('1066-10-13'), np.timedelta64(1, 'D'),
np.dtype([('x', 'i4'), ('y', 'f4')])),
i=(slice(10), slice(0, 2), None, slice(2, 0, -1)),
j=Node5(a='aa'),
k=[Node5(a='bb'), None],
l=Node6(b=3, nid=1),
**other_data)
pbs = ProtobufSerializeProvider()
serial = node4.serialize(pbs)
d_node4 = Node4.deserialize(pbs, serial)
self.assertEqual(node4.a, d_node4.a)
np.testing.assert_array_equal(node4.b, d_node4.b)
self.assertEqual(node4.c, d_node4.c)
self.assertEqual(node4.d, d_node4.d)
self.assertEqual(node4.e, d_node4.e)
self.assertEqual(node4.f, d_node4.f)
self.assertFalse(hasattr(d_node4, 'g'))
self.assertEqual(node4.h, d_node4.h)
self.assertEqual(node4.i, d_node4.i)
self.assertEqual(node4.j.a, d_node4.j.a)
self.assertEqual(node4.k[0].a, d_node4.k[0].a)
self.assertIsNone(d_node4.k[1])
self.assertIsInstance(d_node4.l, Node7)
self.assertEqual(d_node4.l.b, 3)
if pd:
pd.testing.assert_index_equal(node4.m, d_node4.m)
pd.testing.assert_index_equal(node4.mm, d_node4.mm)
pd.testing.assert_series_equal(node4.n, d_node4.n)
pd.testing.assert_frame_equal(node4.o, d_node4.o)
pd.testing.assert_index_equal(node4.p[0], d_node4.p[0])
pd.testing.assert_index_equal(node4.p[1], d_node4.p[1])
pd.testing.assert_series_equal(node4.p[2], d_node4.p[2])
pd.testing.assert_frame_equal(node4.p[3], d_node4.p[3])
jss = JsonSerializeProvider()
serial = node4.serialize(jss)
serial = json.loads(json.dumps(serial), object_hook=OrderedDict)
d_node4 = Node4.deserialize(jss, serial)
self.assertEqual(node4.a, d_node4.a)
np.testing.assert_array_equal(node4.b, d_node4.b)
self.assertEqual(node4.c, d_node4.c)
self.assertEqual(node4.d, d_node4.d)
self.assertEqual(node4.e, d_node4.e)
self.assertEqual(node4.f, d_node4.f)
self.assertFalse(hasattr(d_node4, 'g'))
self.assertEqual(node4.h, d_node4.h)
self.assertEqual(node4.i, d_node4.i)
self.assertEqual(node4.j.a, d_node4.j.a)
self.assertEqual(node4.k[0].a, d_node4.k[0].a)
self.assertIsNone(d_node4.k[1])
self.assertIsInstance(d_node4.l, Node7)
self.assertEqual(d_node4.l.b, 3)
if pd:
pd.testing.assert_index_equal(node4.m, d_node4.m)
pd.testing.assert_index_equal(node4.mm, d_node4.mm)
pd.testing.assert_series_equal(node4.n, d_node4.n)
pd.testing.assert_frame_equal(node4.o, d_node4.o)
pd.testing.assert_index_equal(node4.p[0], d_node4.p[0])
pd.testing.assert_index_equal(node4.p[1], d_node4.p[1])
pd.testing.assert_series_equal(node4.p[2], d_node4.p[2])
pd.testing.assert_frame_equal(node4.p[3], d_node4.p[3])
def test_tokenize():
import shutil
import tempfile
class TestEnum(Enum):
VAL1 = 'val1'
tempdir = tempfile.mkdtemp('mars_test_utils_')
try:
filename = os.path.join(tempdir, 'test_npa.dat')
mmp_array = np.memmap(filename, dtype=float, mode='w+', shape=(3, 4))
mmp_array[:] = np.random.random((3, 4)).astype(float)
mmp_array.flush()
del mmp_array
mmp_array1 = np.memmap(filename, dtype=float, shape=(3, 4))
mmp_array2 = np.memmap(filename, dtype=float, shape=(3, 4))
try:
v = [1, 2.3, '456', u'789', b'101112', 2147483649, None, np.ndarray,
[912, 'uvw'], np.arange(0, 10), np.array(10), np.array([b'\x01\x32\xff']),
np.int64, TestEnum.VAL1]
copy_v = copy.deepcopy(v)
assert (utils.tokenize(v + [mmp_array1], ext_data=1234)
== utils.tokenize(copy_v + [mmp_array2], ext_data=1234))
finally:
del mmp_array1, mmp_array2
finally:
shutil.rmtree(tempdir)
v = {'a', 'xyz', 'uvw'}
assert utils.tokenize(v) == utils.tokenize(copy.deepcopy(v))
v = dict(x='abcd', y=98765)
assert utils.tokenize(v) == utils.tokenize(copy.deepcopy(v))
v = dict(x=dict(a=1, b=[1, 2, 3]), y=12345)
assert utils.tokenize(v) == utils.tokenize(copy.deepcopy(v))
# pandas relative
if pd is not None:
df = pd.DataFrame([[utils.to_binary('测试'), utils.to_text('数据')]],
index=['a'], columns=['中文', 'data'])
v = [df, df.index, df.columns, df['data'], pd.Categorical(list('ABCD'))]
assert utils.tokenize(v) == utils.tokenize(copy.deepcopy(v))
class NonTokenizableCls:
def __getstate__(self):
raise SystemError
with pytest.raises(TypeError):
utils.tokenize(NonTokenizableCls())
class CustomizedTokenize(object):
def __mars_tokenize__(self):
return id(type(self)), id(NonTokenizableCls)
assert utils.tokenize(CustomizedTokenize()) == utils.tokenize(CustomizedTokenize())
v = lambda x: x + 1
assert utils.tokenize(v) == utils.tokenize(copy.deepcopy(v))
def f(a, b):
return np.add(a, b)
assert utils.tokenize(f) == utils.tokenize(copy.deepcopy(f))
partial_f = partial(f, 1, k=0)
partial_f2 = partial(f, 1, k=1)
assert utils.tokenize(partial_f) == utils.tokenize(copy.deepcopy(partial_f))
assert utils.tokenize(partial_f) != utils.tokenize(partial_f2)
def test_string_conversion():
s = None
assert utils.to_binary(s) is None
assert utils.to_str(s) is None
assert utils.to_text(s) is None
s = 'abcdefg'
assert isinstance(utils.to_binary(s), bytes)
assert utils.to_binary(s) == b'abcdefg'
assert isinstance(utils.to_str(s), str)
assert utils.to_str(s) == 'abcdefg'
assert isinstance(utils.to_text(s), str)
assert utils.to_text(s) == u'abcdefg'
ustr = type('ustr', (str,), {})
assert isinstance(utils.to_str(ustr(s)), str)
assert utils.to_str(ustr(s)) == 'abcdefg'
s = b'abcdefg'
assert isinstance(utils.to_binary(s), bytes)
assert utils.to_binary(s) == b'abcdefg'
assert isinstance(utils.to_str(s), str)
assert utils.to_str(s) == 'abcdefg'
assert isinstance(utils.to_text(s), str)
assert utils.to_text(s) == u'abcdefg'
ubytes = type('ubytes', (bytes,), {})
assert isinstance(utils.to_binary(ubytes(s)), bytes)
assert utils.to_binary(ubytes(s)) == b'abcdefg'
s = u'abcdefg'
assert isinstance(utils.to_binary(s), bytes)
assert utils.to_binary(s) == b'abcdefg'
assert isinstance(utils.to_str(s), str)
assert utils.to_str(s) == 'abcdefg'
assert isinstance(utils.to_text(s), str)
assert utils.to_text(s) == u'abcdefg'
uunicode = type('uunicode', (str,), {})
assert isinstance(utils.to_text(uunicode(s)), str)
assert utils.to_text(uunicode(s)) == u'abcdefg'
with pytest.raises(TypeError):
utils.to_binary(utils)
with pytest.raises(TypeError):
utils.to_str(utils)
with pytest.raises(TypeError):
utils.to_text(utils)
def testAttributeAsDict(self):
other_data = {}
if pd:
df = pd.DataFrame(
{
'a': [1, 2, 3],
'b': [to_text('测试'), to_binary('属性'), 'c']
},
index=[[0, 0, 1], ['测试', '属性', '测试']])
other_data['w'] = df.columns
other_data['ww'] = df.index
other_data['x'] = df['b']
other_data['y'] = df
other_data['z'] = [df.columns, df.index, df['a'], df]
node4 = Node4(a=to_binary('中文'),
b=np.random.randint(4, size=(3, 4)),
c=np.datetime64(datetime.datetime.now()),
d=np.timedelta64(datetime.timedelta(seconds=1234)),
e=np.dtype('int'),
f={
'a': [True, False, False],
'd': [False, None]
},
h=(1234, to_text('测试'), '属性', None,
np.datetime64('1066-10-13'), np.timedelta64(1, 'D'),
np.dtype([('x', 'i4'), ('y', 'f4')])),
i=(slice(10), slice(0,
2), None, slice(2, 0,
-1), slice('a', 'b'),
slice(datetime.datetime.now(),
datetime.datetime.now())),
j=Node5(a='aa', b=slice(1, 100, 3)),
k=[Node5(a='bb', b=slice(200, -1, -4)), None],
l=Node6(b=3, nid=1),
m=Node6(b=4, nid=2),
n=[Node5(a='cc', b=slice(100, -2, -5)), None],
**other_data)
pbs = ProtobufSerializeProvider()
serial = node4.serialize(pbs)
d_node4 = Node4.deserialize(pbs, serial)
self.assertEqual(node4.a, d_node4.a)
np.testing.assert_array_equal(node4.b, d_node4.b)
self.assertEqual(node4.c, d_node4.c)
self.assertEqual(node4.d, d_node4.d)
self.assertEqual(node4.e, d_node4.e)
self.assertEqual(node4.f, d_node4.f)
self.assertFalse(hasattr(d_node4, 'g'))
self.assertEqual(node4.h, d_node4.h)
self.assertEqual(node4.i, d_node4.i)
self.assertEqual(node4.j.a, d_node4.j.a)
self.assertEqual(node4.j.b, d_node4.j.b)
self.assertEqual(node4.k[0].a, d_node4.k[0].a)
self.assertEqual(node4.k[0].b, d_node4.k[0].b)
self.assertIsNone(d_node4.k[1])
self.assertIsInstance(d_node4.l, Node7)
self.assertEqual(node4.l.b, d_node4.l.b)
self.assertIsInstance(d_node4.m, Node7)
self.assertEqual(node4.m.b, d_node4.m.b)
self.assertIsInstance(d_node4.n[0], Node5)
self.assertEqual(node4.n[0].a, d_node4.n[0].a)
self.assertEqual(node4.n[0].b, d_node4.n[0].b)
self.assertIsNone(d_node4.n[1])
if pd:
pd.testing.assert_index_equal(node4.w, d_node4.w)
pd.testing.assert_index_equal(node4.ww, d_node4.ww)
pd.testing.assert_series_equal(node4.x, d_node4.x)
pd.testing.assert_frame_equal(node4.y, d_node4.y)
pd.testing.assert_index_equal(node4.z[0], d_node4.z[0])
pd.testing.assert_index_equal(node4.z[1], d_node4.z[1])
pd.testing.assert_series_equal(node4.z[2], d_node4.z[2])
pd.testing.assert_frame_equal(node4.z[3], d_node4.z[3])
with self.assertRaises(TypeError):
node42 = Node4(j=Node6())
node42.serialize(pbs)
with self.assertRaises(TypeError):
node6 = Node6(nid=0)
node7 = Node7(nid=1, r=node6)
node7.serialize(pbs)
with self.assertRaises(TypeError):
node6 = Node6(nid=0)
node7 = Node7(nid=1, rl=[node6])
node7.serialize(pbs)
node61 = Node6(nid=0)
node62 = Node6(nid=0, r=node61)
serial = node62.serialize(pbs)
d_node62 = Node6.deserialize(pbs, serial)
self.assertIsInstance(d_node62.r, Node6)
node61 = Node6(nid=0)
node62 = Node6(nid=0, rl=[node61])
serial = node62.serialize(pbs)
d_node62 = Node6.deserialize(pbs, serial)
self.assertIsInstance(d_node62.rl[0], Node6)
jss = JsonSerializeProvider()
serial = node4.serialize(jss)
serial = json.loads(json.dumps(serial), object_hook=OrderedDict)
d_node4 = Node4.deserialize(jss, serial)
self.assertEqual(node4.a, d_node4.a)
np.testing.assert_array_equal(node4.b, d_node4.b)
self.assertEqual(node4.c, d_node4.c)
self.assertEqual(node4.d, d_node4.d)
self.assertEqual(node4.e, d_node4.e)
self.assertEqual(node4.f, d_node4.f)
self.assertFalse(hasattr(d_node4, 'g'))
self.assertEqual(node4.h, d_node4.h)
self.assertEqual(node4.i, d_node4.i)
self.assertEqual(node4.j.a, d_node4.j.a)
self.assertEqual(node4.k[0].a, d_node4.k[0].a)
self.assertIsNone(d_node4.k[1])
self.assertIsInstance(d_node4.l, Node7)
self.assertEqual(node4.l.b, d_node4.l.b)
self.assertIsInstance(d_node4.m, Node7)
self.assertEqual(node4.m.b, d_node4.m.b)
self.assertIsInstance(d_node4.n[0], Node5)
self.assertEqual(node4.n[0].a, d_node4.n[0].a)
self.assertEqual(node4.n[0].b, d_node4.n[0].b)
self.assertIsNone(d_node4.n[1])
if pd:
pd.testing.assert_index_equal(node4.w, d_node4.w)
pd.testing.assert_index_equal(node4.ww, d_node4.ww)
pd.testing.assert_series_equal(node4.x, d_node4.x)
pd.testing.assert_frame_equal(node4.y, d_node4.y)
pd.testing.assert_index_equal(node4.z[0], d_node4.z[0])
pd.testing.assert_index_equal(node4.z[1], d_node4.z[1])
pd.testing.assert_series_equal(node4.z[2], d_node4.z[2])
pd.testing.assert_frame_equal(node4.z[3], d_node4.z[3])
with self.assertRaises(TypeError):
node42 = Node4(j=Node6())
node42.serialize(jss)
with self.assertRaises(TypeError):
node6 = Node6()
node7 = Node7(r=node6)
node7.serialize(jss)
with self.assertRaises(TypeError):
node6 = Node6(nid=0)
node7 = Node7(nid=1, rl=[node6])
node7.serialize(jss)
node61 = Node6()
node62 = Node6(r=node61)
serial = node62.serialize(jss)
d_node62 = Node6.deserialize(jss, serial)
self.assertIsInstance(d_node62.r, Node6)
node61 = Node6(nid=0)
node62 = Node6(nid=0, rl=[node61])
serial = node62.serialize(jss)
d_node62 = Node6.deserialize(jss, serial)
self.assertIsInstance(d_node62.rl[0], Node6)