the pyfury demo code shown in the website doesn't work with pyfury :(

[justincui]

The following demo code shown in the Fury website cannot be run with pyfury==0.4.1 (the latest):

from typing import Dict
import pyfury

class SomeClass:
    f1: "SomeClass"
    f2: Dict[str, str]
    f3: Dict[str, str]

fury = pyfury.Fury(ref_tracking=True)
fury.register_class(SomeClass)
obj = SomeClass()
obj.f2 = {"k1": "v1", "k2": "v2"}
obj.f1, obj.f3 = obj, obj.f2
data = fury.serialize(obj)
# bytes can be data serialized by other languages.
print(fury.deserialize(data))

Environment:
RHEL9.2 (5.14.0-284.25.1.el9_2.x86_64 #1 SMP PREEMPT_DYNAMIC )
python 3.9.16

Steps to reproduce:

1.  python3 -m venv .venv
2.  source .venv/bin/activate
3.  pip install --upgrade pip
4.  pip install pyfury
5.  python a.py  # the demo code

It prints the following error:

/data/try_fury/.venv/lib64/python3.9/site-packages/pyfury/__init__.py:67: 
RuntimeWarning: Fury format initialization failed, please ensure pyarrow is installed with version which fury is compiled with: No module named 'pyarrow'
  from pyfury.format import *  # noqa: F401,F403 # pylint: disable=unused-import
Segmentation fault (core dumped)

According to the error message, I install the pyarrow. I try the following
pip intall pyarrow
pip install pyarrow==14.0.0 # according to README in fury.python
pip install pyarrow==12.0.0 # according to setup.py in fury/python
None works.

In the error message, it complains the numpy 2.0.0 is incompatible. I install numpy with pip install numpy==1.26.4

>>> pip list
Package     Version
----------- -------
cloudpickle 3.0.0
numpy       1.26.4
pip         24.1.1
pyarrow     12.0.0
pyfury      0.4.1
setuptools  53.0.0
>>> python a.py
/data/try_fury/.venv/lib64/python3.9/site-packages/pyfury/__init__.py:67: RuntimeWarning: Fury format initialization failed, please ensure pyarrow is installed with version which fury is compiled with: libarrow.so.1400: cannot open shared object file: No such file or directory
  from pyfury.format import *  # noqa: F401,F403 # pylint: disable=unused-import
Segmentation fault (core dumped)

[justincui]

with the following setting:

python --version             
Python 3.9.16

pip list
Package     Version
----------- -------
cloudpickle 3.0.0
numpy       1.26.4
pip         24.1.1
pyarrow     14.0.2
pyfury      0.4.1
setuptools  53.0.0

The following code can be run:

Python 3.9.16 (main, Dec  8 2022, 00:00:00) 
[GCC 11.3.1 20221121 (Red Hat 11.3.1-4)] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import pyfury
>>> import numpy as np
>>> fury = pyfury.Fury()
>>> object_list = [True, False, "str", -1.1, 1,
...                np.full(100, 0, dtype=np.int32), np.full(20, 0.0, dtype=np.double)]
>>> data = fury.serialize(object_list)
>>> new_list = fury.deserialize(data)
>>> object_map = {"k1": "v1", "k2": object_list, "k3": -1}
>>> data = fury.serialize(object_map)
>>> # bytes can be data serialized by other languages.
>>> new_map = fury.deserialize(data)
>>> print(new_map)
{'k1': 'v1', 'k2': [True, False, 'str', -1.1, 1, array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int32), array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
       0., 0., 0.])], 'k3': -1}

but the following code still core dump:

Python 3.9.16 (main, Dec  8 2022, 00:00:00) 
[GCC 11.3.1 20221121 (Red Hat 11.3.1-4)] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> from typing import Dict
>>> import pyfury
>>> 
>>> class SomeClass:
...     f1: "SomeClass"
...     f2: Dict[str, str]
...     f3: Dict[str, str]
... 
>>> fury = pyfury.Fury(ref_tracking=True)
>>> fury.register_class(SomeClass)
>>> obj = SomeClass()
>>> obj.f2 = {"k1": "v1", "k2": "v2"}
>>> obj.f1, obj.f3 = obj, obj.f2
>>> data = fury.serialize(obj)
Segmentation fault (core dumped)

[esafak]

Your test passes in the latest version on 3.13 without any segfault:

class SomeClass:
    f1: "SomeClass"
    f2: Dict[str, str]
    f3: Dict[str, str]

def test_something():
    fury = Fory(ref_tracking=True)
    fury.register_type(SomeClass)
    obj = SomeClass()
    obj.f2 = {"k1": "v1", "k2": "v2"}
    obj.f1, obj.f3 = obj, obj.f2
    data = fury.serialize(obj)
    assert data is not None

Do you still have a problem?