Error Importing Astromodels with python 3.11.3

[parsotat]

I have upgraded to astromodels 2.4.0 and I am trying to import the module and get the following error:

ipython                          
Python 3.11.3 (main, Apr 19 2023, 18:51:09) [Clang 14.0.6 ]
Type 'copyright', 'credits' or 'license' for more information
IPython 8.12.0 -- An enhanced Interactive Python. Type '?' for help.

In [1]: from typing import Dict
   ...: 
   ...: import numpy as np
   ...: from astromodels import Band
   ...: import ronswanson as dukesilver
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
Cell In[1], line 4
      1 from typing import Dict
      3 import numpy as np
----> 4 from astromodels import Band
      5 import ronswanson as dukesilver

File ~/opt/anaconda3/envs/py311/lib/python3.11/site-packages/astromodels/__init__.py:14
      7 # Import the version
      8 
      9 #
     10 #
     12 if os.environ.get("ASTROMODELS_DEBUG", None) is None:
---> 14     from .utils.configuration import astromodels_config
     15     from .core.memoization import use_astromodels_memoization
     16     from .core.model import Model

File ~/opt/anaconda3/envs/py311/lib/python3.11/site-packages/astromodels/utils/configuration.py:5
      1 from omegaconf import OmegaConf
      3 from astromodels.utils import get_path_of_user_config
----> 5 from .config_structure import Config
      7 # Read the default Config
      8 astromodels_config: Config = OmegaConf.structured(Config)

File ~/opt/anaconda3/envs/py311/lib/python3.11/site-packages/astromodels/utils/config_structure.py:69
     63     use_parameter_transforms: bool = True
     64     ignore_parameter_bounds: bool = False
---> 69 @dataclass
     70 class Config:
     71     logging: Logging = Logging()
     72     absorption_models: AbsorptionModels = AbsorptionModels()

File ~/opt/anaconda3/envs/py311/lib/python3.11/dataclasses.py:1223, in dataclass(cls, init, repr, eq, order, unsafe_hash, frozen, match_args, kw_only, slots, weakref_slot)
   1220     return wrap
   1222 # We're called as @dataclass without parens.
-> 1223 return wrap(cls)

File ~/opt/anaconda3/envs/py311/lib/python3.11/dataclasses.py:1213, in dataclass.<locals>.wrap(cls)
   1212 def wrap(cls):
-> 1213     return _process_class(cls, init, repr, eq, order, unsafe_hash,
   1214                           frozen, match_args, kw_only, slots,
   1215                           weakref_slot)

File ~/opt/anaconda3/envs/py311/lib/python3.11/dataclasses.py:958, in _process_class(cls, init, repr, eq, order, unsafe_hash, frozen, match_args, kw_only, slots, weakref_slot)
    955         kw_only = True
    956     else:
    957         # Otherwise it's a field of some type.
--> 958         cls_fields.append(_get_field(cls, name, type, kw_only))
    960 for f in cls_fields:
    961     fields[f.name] = f

File ~/opt/anaconda3/envs/py311/lib/python3.11/dataclasses.py:815, in _get_field(cls, a_name, a_type, default_kw_only)
    811 # For real fields, disallow mutable defaults.  Use unhashable as a proxy
    812 # indicator for mutability.  Read the __hash__ attribute from the class,
    813 # not the instance.
    814 if f._field_type is _FIELD and f.default.__class__.__hash__ is None:
--> 815     raise ValueError(f'mutable default {type(f.default)} for field '
    816                      f'{f.name} is not allowed: use default_factory')
    818 return f

ValueError: mutable default <class 'astromodels.utils.config_structure.Logging'> for field logging is not allowed: use default_factory

[natj]

same error here

[israelmcmc]

I no longer see this issue using the master branch (d5c5416d9025513) and a fresh conda Python 3.11.3 installation.

I'm not sure if it is related, but a new setuptools version was released recently. I had to use --use-pip517, as explained on #209. That's the only difference I can think of, I do remember being able to reproduce this issue before.

[israelmcmc]

Digging a little more into this, I think @grburgess addressed this issue specifically in commit https://github.com/threeML/astromodels/commit/8f4610d537a13afa3bb3143ce6d96b82436fee00. This commit made to the latest release 2.4.2.