def test_to_dict(self):
xam = lpx.XAttrMap()
xam['a'] = lpx.XAttr('a', -1)
xam['b'] = lpx.XAttr('b', lpx.IntVector([1, 2]))
xam['c'] = lpx.XAttr(
'c',
lpx.IntVector2D([lpx.IntVector([1, 2]),
lpx.IntVector([0, 0])]))
xam['d'] = lpx.XAttr('d', -1.5)
xam['e'] = lpx.XAttr('e', lpx.FloatVector([1.5, 2]))
xam['f'] = lpx.XAttr('f', 'f')
xam['g'] = lpx.XAttr('g', lpx.StrVector(['gg', 'gg']))
xam['h'] = lpx.XAttr('h', False)
xad = XAttrDict(xam)
xad['i'] = {'i': ['i1', 'i2']}
xad['j'] = {'j': 'j1'}
d = xad.to_dict()
assert isinstance(d['a'], int)
assert isinstance(d['b'], list)
assert isinstance(d['c'], list)
assert isinstance(d['d'], float)
assert isinstance(d['e'], list)
assert isinstance(d['f'], str)
assert isinstance(d['g'], list)
assert isinstance(d['h'], bool)
assert isinstance(d['i'], dict)
assert isinstance(d['i']['i'], list)
assert isinstance(d['j'], dict)
assert isinstance(d['j']['j'], str)
assert d['j']['j'] == 'j1'
def test_get_item_slice(self):
ts = TupleShape([TensorShape([1]), TensorShape([2])])
ts_slice = ts[:]
assert len(ts_slice) == 2
assert ts_slice == [[1], [2]]
assert isinstance(ts_slice[0], TensorShape)
assert isinstance(ts_slice[1], TensorShape)
_shape = lpx.IntVector2D([lpx.IntVector([1]),
lpx.IntVector([2])])
ts = TupleShape(IntVector2D(_shape))
ts_slice = ts[:]
assert len(ts_slice) == 2
assert ts_slice == [[1], [2]]
assert isinstance(ts_slice[0], TensorShape)
assert isinstance(ts_slice[1], TensorShape)
ts[0:2] = [[-1, 2], [-1, 3]]
assert ts == [[-1, 2], [-1, 3]]
def test_getitem(self):
xam = lpx.XAttrMap()
xam['a'] = lpx.XAttr('a', -1)
xam['b'] = lpx.XAttr('b', lpx.IntVector([1, 2]))
xam['c'] = lpx.XAttr(
'c',
lpx.IntVector2D([lpx.IntVector([1, 2]),
lpx.IntVector([0, 0])]))
xam['d'] = lpx.XAttr('d', -1.5)
xam['e'] = lpx.XAttr('e', lpx.FloatVector([1.5, 2]))
xam['f'] = lpx.XAttr('f', 'f')
xam['g'] = lpx.XAttr('g', lpx.StrVector(['gg', 'gg']))
xam['h'] = lpx.XAttr('h', True)
xam['i'] = lpx.XAttr('i', lpx.MapStrVectorStr())
xad = XAttrDict(xam)
xad['i'] = {'i': ['i1', 'i2']}
xad['j'] = {'j': 'j1'}
assert xad['a'] == -1
assert xad['b'] == [1, 2]
assert xad['c'] == [[1, 2], [0, 0]]
assert xad['d'] == -1.5
assert xad['e'] == [1.5, 2]
assert xad['f'] == 'f'
assert xad['g'] == ['gg', 'gg']
assert xad['h'] is True
assert xad['i'] == {'i': ['i1', 'i2']}
assert xad['i'] != {'a': ['a']}
assert xad['j'] == {'j': 'j1'}
with self.assertRaises(KeyError):
xad['z']
def test_to_list(self):
ts = TupleShape([TensorShape([1, 2]), TensorShape([2, 4])])
assert ts == [[1, 2], [2, 4]]
assert ts.tolist() == [[1, 2], [2, 4]]
_shape = lpx.IntVector2D([lpx.IntVector([1, 2]),
lpx.IntVector([2, 4])])
ts = TupleShape(IntVector2D(_shape))
assert ts.tolist() == [[1, 2], [2, 4]]
def shapes(self, shapes_):
if isinstance(shapes_, TensorShape)\
or (isinstance(shapes_, list) and
(len(shapes_) == 0
or isinstance(shapes_[0], int))):
self._xlayer.shapes = \
lpx.IntVector2D([lpx.IntVector(shapes_)])
self._xlayer.shapes_t = "TensorShape"
else:
assert all([isinstance(e, (list, TensorShape)) for e in shapes_])
self._xlayer.shapes = \
lpx.IntVector2D([lpx.IntVector(s) for s in shapes_])
self._xlayer.shapes_t = "TupleShape"
def __setitem__(self, key: str, value):
value_error = "Unsupported value: {} for attribute: {}. XAttr values"\
" can only be of types: int, float, str, List[int],"\
" List[float], List[str], List[List[int]],"\
" Dict[str, str], Dict[Str, List[Str]]"\
.format(value, key)
# TODO: improve this code
if isinstance(value, list):
if all([isinstance(e, int) for e in value]):
value = lpx.IntVector(value)
elif all([isinstance(e, float) for e in value]):
value = lpx.FloatVector(value)
elif all([isinstance(e, str) for e in value]):
value = lpx.StrVector(value)
elif all([isinstance(e, list) for e in value]):
if all([[isinstance(ee, int) for ee in e] for e in value]):
value = lpx.IntVector2D([lpx.IntVector(v) for v in value])
else:
raise ValueError(value_error)
elif all([isinstance(e, IntVector) for e in value]):
value = lpx.IntVector2D([e.get_lpx_vector() for e in value])
else:
raise ValueError(value_error)
elif isinstance(value, dict):
values = list(value.values())
if len(values) > 0 and isinstance(list(value.values())[0], str):
value = MapStrStr.from_dict(value).get_lpx_map()
else:
value = MapStrVectorStr.from_dict(value).get_lpx_map()
# raise ValueError("Unsupported dictionary for XAttr with"
# " values"
# " of type: {}, only 'Str' and 'List[Str]'"
# " supported"
# .format(type(value.volues()[0])))
elif isinstance(value, (MapStrVectorStr, MapStrStr)):
value = value.get_lpx_map()
elif isinstance(value,
(StrVector, IntVector, IntVector2D, FloatVector)):
value = value.get_lpx_vector()
elif value is not None and \
not isinstance(value, (float, int, str, StrVector, IntVector,
IntVector2D, FloatVector)):
raise ValueError(value_error)
if value is not None:
xattr = lpx.XAttr(key, value)
else:
xattr = lpx.XAttr(key)
self._xattr_map[key] = xattr
def test_get_set_item(self):
_shape = lpx.IntVector2D([lpx.IntVector([-1, 2]),
lpx.IntVector([-1, 2, 4])])
ts = TupleShape(IntVector2D(_shape))
assert len(ts) == 2
assert isinstance(ts[0], TensorShape)
assert ts[0] == [-1, 2]
assert ts[1] == [-1, 2, 4]
with self.assertRaises(IndexError):
ts[2]
ts[0] = [-1, 3]
assert ts == [[-1, 3], [-1, 2, 4]]
def set_func(self, func: Callable, type_codes: List[TypeCode]):
# if type_codes is not None:
for tc in type_codes:
if tc not in OpaqueFunc.type_codes_:
raise NotImplementedError("Function with argument of"
" unsupported type: {} provided"
.format(tc.name))
def opaque_func_wrapper(args):
new_args = []
if type_codes is not None:
args_type_codes = type_codes
else:
args_type_codes = [TypeCode(args[i].get_type_code_int())
for i in range(len(args))]
for tc, arg_ in zip(args_type_codes, args):
if tc not in OpaqueFunc.type_codes_:
raise ValueError(f"Unsupported type code: {tc}")
arg_ = OpaqueFunc.type_codes_[tc][0](arg_)
new_args.append(arg_)
func(*new_args)
arg_type_codes_ = lpx.IntVector([tc.value for tc in type_codes])
self._of.set_func(opaque_func_wrapper, arg_type_codes_)
def test_set_value(self):
ts = TensorShape(IntVector(lpx.IntVector([1, 2, 3, 4])))
ts.set_value(0, -1)
assert len(ts) == 4
assert ts[0] == -1
assert ts[1] == 2
def test_get(self):
xam = lpx.XAttrMap()
xam['a'] = lpx.XAttr('a', -1)
xb = lpx.XAttr('b', lpx.IntVector([1, 2]))
xam['b'] = xb
xad = XAttrDict(xam)
assert xad.get('a') == -1
# assert xad.get('b') == [1, 2]
assert xad.get('c') is None
def test_set_value(self):
ts = TupleShape([TensorShape([1, 2]), TensorShape([2, 4])])
ts.set_value(0, -1)
assert len(ts) == 2
assert ts[0] == TensorShape([-1, 2])
assert ts[1] == TensorShape([-1, 4])
_shape = lpx.IntVector2D([lpx.IntVector([1, 2]),
lpx.IntVector([2, 4])])
ts = TupleShape(IntVector2D(_shape))
ts.set_value(0, -1)
assert len(ts) == 2
assert ts[0] == TensorShape([-1, 2])
assert ts[1] == TensorShape([-1, 4])
def test_get_set_item_slice(self):
ts = TensorShape(IntVector(lpx.IntVector([-1, 2, 3, 4])))
ts_slice = ts[1:3]
assert len(ts_slice) == 2
assert ts_slice == [2, 3]
ts[1:3] = [3, 2]
assert ts == [-1, 3, 2, 4]
def test_to_list(self):
ts = TensorShape(IntVector(lpx.IntVector([1, 2, 3, 4])))
assert ts == [1, 2, 3, 4]
lst = ts.tolist()
lst2 = list(ts)
ts[0] = -1
assert ts == [-1, 2, 3, 4]
assert lst == [1, 2, 3, 4]
assert lst2 == [1, 2, 3, 4]
def test_get_set_item(self):
ts = TensorShape(IntVector(lpx.IntVector([-1, 2])))
assert len(ts) == 2
assert isinstance(ts[0], int)
assert ts[0] == -1
assert ts[1] == 2
with self.assertRaises(IndexError):
ts[3]
ts[1] = 3
assert ts[1] == 3
def test_xlayer_constructor(self):
X = XLayer()
assert X.name == ""
assert X.type == []
assert X.type == lpx.StrVector([])
assert X.shapes == TensorShape(lpx.IntVector([]))
assert X.shapes == []
assert X.sizes == lpx.IntVector([])
assert X.sizes == []
assert X.tops == lpx.StrVector([])
assert X.tops == []
assert X.bottoms == lpx.StrVector([])
assert X.bottoms == []
assert X.layer == lpx.StrVector([])
assert X.layer == []
assert X.data == []
assert X.targets == lpx.StrVector([])
assert X.targets == []
assert X.target == 'cpu'
assert X.subgraph is None
assert X.internal is False
assert X.attrs == XAttrDict(lpx.XAttrMap())
def test_xattr(self):
xa = lpx.XAttr('a', -1)
assert xa.name == 'a'
assert xa.type == 'INT'
assert xa.i == -1
xa = lpx.XAttr('b', lpx.IntVector([1, 2, 3]))
assert xa.name == 'b'
assert xa.type == 'INTS'
assert xa.ints == lpx.IntVector([1, 2, 3])
xa = lpx.XAttr(
'c',
lpx.IntVector2D([lpx.IntVector([1, 2, 3]),
lpx.IntVector([0, 0])]))
assert xa.name == 'c'
assert xa.type == 'INTS2D'
assert xa.ints2d == lpx.IntVector2D(
[lpx.IntVector([1, 2, 3]),
lpx.IntVector([0, 0])])
xa = lpx.XAttr('d', -1.5)
assert xa.name == 'd'
assert xa.type == 'FLOAT'
assert xa.f == -1.5
xa = lpx.XAttr('e', lpx.FloatVector([1, 2, 3]))
assert xa.name == 'e'
assert xa.type == 'FLOATS'
assert xa.floats == lpx.FloatVector([1, 2, 3])
xa = lpx.XAttr('f', 'f')
assert xa.name == 'f'
assert xa.type == 'STRING'
assert xa.s == 'f'
xa = lpx.XAttr('e', lpx.StrVector(['a', 'b']))
assert xa.name == 'e'
assert xa.type == 'STRINGS'
assert xa.strings == lpx.StrVector(['a', 'b'])
def insert(self, index: int, value):
self.__vector.insert(index, lpx.IntVector(value))
class OpaqueFunc(object):
# TypeCode conversion functions
# First: C++ -> Python
# Second: Python -> C++
type_codes_ = {
TypeCode.vInt: (
lambda arg_: IntVector(arg_.ints),
lambda arg_: lpx.OpaqueValue(lpx.IntVector(arg_))),
TypeCode.Str: (
lambda arg_: arg_.s,
lambda arg_: lpx.OpaqueValue(arg_)),
TypeCode.Byte: (
lambda arg_: arg_.bytes,
lambda arg_: lpx.OpaqueValue(arg_)),
TypeCode.vStr: (
lambda arg_: StrVector(arg_.strings),
lambda arg_: lpx.OpaqueValue(lpx.StrVector(arg_))),
TypeCode.StrContainer: (
lambda arg_: StrContainer.from_lib(arg_.str_c),
lambda arg_: lpx.OpaqueValue(arg_._str_c)),
TypeCode.BytesContainer: (
lambda arg_: BytesContainer.from_lib(arg_.bytes_c),
lambda arg_: lpx.OpaqueValue(arg_._bytes_c)),
TypeCode.XGraph: (
lambda arg_: XGraph._from_xgraph(arg_.xg),
lambda arg_: lpx.OpaqueValue(arg_._xgraph)),
TypeCode.XBuffer: (
lambda arg_: XBuffer.from_lib(arg_.xb),
lambda arg_: lpx.OpaqueValue(arg_._xb)),
TypeCode.vXBuffer: (
lambda arg_: [XBuffer.from_lib(e) for e in arg_.xbuffers],
lambda arg_: lpx.OpaqueValue(
lpx.XBufferHolderVector([xb._xb for xb in arg_]))),
TypeCode.OpaqueFunc: (
lambda arg_: OpaqueFunc.from_lib(arg_.of),
lambda arg_: lpx.OpaqueValue(arg_._of))
}
def __init__(self,
func: Callable = None,
type_codes: List[TypeCode] = None) -> None:
self._of = lpx.OpaqueFunc()
if type_codes is None:
type_codes = []
if func is not None:
self.set_func(func, type_codes)
@classmethod
def from_lib(cls, _of: lpx.OpaqueFunc) -> 'OpaqueFunc':
of = OpaqueFunc.__new__(cls)
of._of = _of
return of
def set_func(self, func: Callable, type_codes: List[TypeCode]):
# if type_codes is not None:
for tc in type_codes:
if tc not in OpaqueFunc.type_codes_:
raise NotImplementedError("Function with argument of"
" unsupported type: {} provided"
.format(tc.name))
def opaque_func_wrapper(args):
new_args = []
if type_codes is not None:
args_type_codes = type_codes
else:
args_type_codes = [TypeCode(args[i].get_type_code_int())
for i in range(len(args))]
for tc, arg_ in zip(args_type_codes, args):
if tc not in OpaqueFunc.type_codes_:
raise ValueError(f"Unsupported type code: {tc}")
arg_ = OpaqueFunc.type_codes_[tc][0](arg_)
new_args.append(arg_)
func(*new_args)
arg_type_codes_ = lpx.IntVector([tc.value for tc in type_codes])
self._of.set_func(opaque_func_wrapper, arg_type_codes_)
def __call__(self, *args: Any) -> None:
""" Call internal lib OpaqueFunc with provided args """
args_type_codes = self.get_arg_type_codes()
if len(args) != len(args_type_codes):
raise ValueError("Invalid number of arguments detected."
" OpaqueFunc is expecting {} arguments"
" but got: {}"
.format(len(args_type_codes), len(args)))
oa_v = []
for tc, arg_ in zip(args_type_codes, args):
if tc not in OpaqueFunc.type_codes_:
raise ValueError(f"Unsupported type code: {tc}")
oa_v.append(OpaqueFunc.type_codes_[tc][1](arg_))
oa = lpx.OpaqueArgs(oa_v)
self._of(oa)
def get_arg_type_codes(self):
return [TypeCode(i) for i in self._of.get_arg_type_codes()]
def get_nb_type_codes(self):
return len(self.get_arg_type_codes())
def __del__(self):
pass
def test_get_copy(self):
xam = lpx.XAttrMap()
xam['a'] = lpx.XAttr('a', -1)
xam['b'] = lpx.XAttr('b', lpx.IntVector([1, 2]))
xam['c'] = lpx.XAttr(
'c',
lpx.IntVector2D([lpx.IntVector([1, 2]),
lpx.IntVector([0, 0])]))
xam['d'] = lpx.XAttr('d', -1.5)
xam['e'] = lpx.XAttr('e', lpx.FloatVector([1.5, 2]))
xam['f'] = lpx.XAttr('f', 'f')
xam['g'] = lpx.XAttr('g', lpx.StrVector(['gg', 'gg']))
xam['h'] = lpx.XAttr('h', False)
xad = XAttrDict(xam)
a_c = xad._get_copy('a')
assert a_c == -1
xad['a'] = 1
assert a_c == -1
assert xad['a'] == 1
ints_c = xad._get_copy('b')
assert ints_c == [1, 2]
xad['b'][0] = -1
assert xad['b'] == [-1, 2]
assert ints_c == [1, 2]
ints2d_c = xad._get_copy('c')
assert ints2d_c == [[1, 2], [0, 0]]
xad['c'][0] = [-1, 2]
assert xad['c'] == [[-1, 2], [0, 0]]
assert ints2d_c == [[1, 2], [0, 0]]
assert xad._get_copy('d') == -1.5
floats_c = xad._get_copy('e')
assert floats_c == [1.5, 2]
xad['e'] = [-1.5, 2.]
assert xad['e'] == [-1.5, 2]
assert floats_c == [1.5, 2]
s_c = xad._get_copy('f')
assert s_c == 'f'
xad['f'] = 'ff'
assert xad['f'] == 'ff'
assert s_c == 'f'
strings_c = xad._get_copy('g')
assert strings_c == ['gg', 'gg']
xad['g'] = ['gg']
assert xad['g'] == ['gg']
assert strings_c == ['gg', 'gg']
b_c = xad._get_copy('h')
assert b_c is False
xad['h'] = True
assert xad['h'] is True
assert b_c is False
with self.assertRaises(KeyError):
xad._get_copy('z')
def __setitem__(self, key, value):
if isinstance(key, slice):
value = lpx.IntVector(value)
return self.get_lpx_vector().__setitem__(key, value)
def sizes(self, sizes_: list):
self._xlayer.sizes = lpx.IntVector(sizes_)
def append(self, value: list):
self.__vector.append(lpx.IntVector(value))
def __contains__(self, value: list):
if not isinstance(value, list):
raise TypeError("Expecting 'list' argument but got: {}"
.format(type(value)))
return lpx.IntVector(value) in self.__vector
def test_get_size(self):
ts = TensorShape(IntVector(lpx.IntVector([-1, 2, 3, 4])))
assert ts.get_size() == [24]
def test_int_vector(self):
iv = lpx.IntVector([1, 2, 3])
ivx = IntVector(iv)
assert ivx == iv
assert ivx == [1, 2, 3]
# List comprehension
assert [i for i in ivx] == [1, 2, 3]
# Append
ivx.append(4)
assert len(iv) == 4
assert len(ivx) == 4
# Contains
assert 2 in iv
assert 2 in ivx
assert -1 not in iv
assert -1 not in ivx
with self.assertRaises(TypeError):
assert 'a' not in ivx
# Delete
del ivx[3]
assert ivx == [1, 2, 3]
assert iv == lpx.IntVector([1, 2, 3])
# Equal
assert ivx == [1, 2, 3]
assert ivx == lpx.IntVector([1, 2, 3])
assert iv == lpx.IntVector([1, 2, 3])
# Add / Extend
ivx.extend([4, 5])
assert len(iv) == 5
assert len(ivx) == 5
ivx += [6, 7]
assert len(ivx) == 7
del ivx[6]
del ivx[5]
# Get item
assert ivx[3] == 4
assert ivx[-1] == 5
assert len(ivx) == 5
assert ivx[:] == [1, 2, 3, 4, 5]
with self.assertRaises(IndexError):
ivx[6]
# Index
assert ivx.index(2) == 1
assert ivx.index(5) == 4
with self.assertRaises(ValueError):
ivx.index('a')
# Insert
ivx.insert(0, -1)
assert len(ivx) == 6
assert len(iv) == 6
assert ivx[0] == -1
del ivx[0]
# Iter
c = [1, 2, 3, 4, 5]
for i, e in enumerate(ivx):
assert e == c[i]
for i, e in enumerate(iv):
assert e == c[i]
# Length
assert len(ivx) == len(iv)
assert len(ivx) == 5
# Not equal
assert iv != lpx.IntVector([1, 2, 3])
assert ivx != [1, 2, 3, 4]
# Repr
assert repr(iv) == "IntVector[1, 2, 3, 4, 5]"
assert repr(ivx) == "IntVector[1, 2, 3, 4, 5]"
# Str
assert str(iv) == "IntVector[1, 2, 3, 4, 5]"
assert str(ivx) == "IntVector[1, 2, 3, 4, 5]"
# Set
ivx[0] = -1
assert ivx == [-1, 2, 3, 4, 5]
assert iv == lpx.IntVector([-1, 2, 3, 4, 5])
with self.assertRaises(IndexError):
ivx[6] = -1
ivx[:] = [-1, -2, -3, -4, -5]
assert len(ivx) == 5
assert ivx == [-1, -2, -3, -4, -5]
def __setitem__(self, key, value):
if isinstance(key, slice):
value = lpx.IntVector2D([lpx.IntVector(v) for v in value])
self.__vector.__setitem__(key, value)
else:
self.__vector.__setitem__(key, lpx.IntVector(value))
def extend(self, value: list):
self.__vector.extend([lpx.IntVector(v) for v in value])
def test_int_vector_2D(self):
iv = lpx.IntVector2D([lpx.IntVector([])])
ivx = IntVector2D(iv)
assert ivx == iv
assert ivx == [[]]
# Append
assert len(iv) == 1
assert len(ivx) == 1
ivx.append([4, 5, 6])
assert len(iv) == 2
assert len(ivx) == 2
assert ivx == [[], [4, 5, 6]]
ivx[0].append(1)
ivx[0].append(2)
ivx[0].append(3)
assert len(iv) == 2
assert len(ivx) == 2
assert ivx == [[1, 2, 3], [4, 5, 6]]
# Contains
assert lpx.IntVector([1, 2, 3]) in iv
assert lpx.IntVector([4, 5, 6]) in iv
assert [1, 2, 3] in ivx
assert [4, 5, 6] in ivx
assert lpx.IntVector([1, 2]) not in iv
assert [1, 2] not in ivx
with self.assertRaises(TypeError):
assert 1 not in ivx
with self.assertRaises(TypeError):
assert 'a' not in ivx
# Delete
with self.assertRaises(IndexError):
del ivx[2]
del ivx[1]
assert ivx == [[1, 2, 3]]
assert iv == lpx.IntVector2D([lpx.IntVector([1, 2, 3])])
# Equal
assert ivx == [[1, 2, 3]]
assert ivx == lpx.IntVector2D([lpx.IntVector([1, 2, 3])])
assert iv == lpx.IntVector2D([lpx.IntVector([1, 2, 3])])
# Extend
ivx.extend([[4, 5]])
assert len(iv) == 2
assert len(ivx) == 2
ivx += [[6, 7]]
assert len(ivx) == 3
del ivx[2]
# Get item
assert ivx[0] == [1, 2, 3]
assert ivx[-1] == [4, 5]
with self.assertRaises(IndexError):
ivx[6]
assert ivx[0:1] == [[1, 2, 3]]
assert ivx[:] == [[1, 2, 3], [4, 5]]
# Insert
ivx.insert(0, [0, 0])
assert len(ivx) == 3
assert len(iv) == 3
assert ivx[0] == [0, 0]
del ivx[0]
assert len(ivx) == 2
# Iter
c = [[1, 2, 3], [4, 5]]
for i, e in enumerate(ivx):
assert isinstance(e, IntVector)
assert e == c[i]
for i, e in enumerate(iv):
assert isinstance(e, lpx.IntVector)
assert e == lpx.IntVector(c[i])
# Length
assert len(ivx) == len(iv)
assert len(ivx) == 2
# Not equal
assert iv != lpx.IntVector2D([lpx.IntVector([1, 2, 3])])
assert ivx != [[1, 2, 3], [4]]
# Repr
assert repr(ivx) == "IntVector2D[IntVector[1, 2, 3], IntVector[4, 5]]"
# Str
assert str(ivx) == "IntVector2D[IntVector[1, 2, 3], IntVector[4, 5]]"
# Set
ivx[0] = [-1, 2, 3]
assert ivx == [[-1, 2, 3], [4, 5]]
assert iv == lpx.IntVector2D([lpx.IntVector([-1, 2, 3]),
lpx.IntVector([4, 5])])
with self.assertRaises(IndexError):
ivx[6] = [5, 6]
