AttributeError: np.asfarray was removed in the NumPy 2.0 release. Use np.asarray with a proper dtype instead.

[Eririf]

It seems latest version doesn't support numby >2.0?
lmfit Version: 1.3.4
numpy Version: 2.2.6
python 3.10.12

File ~/.local/lib/python3.10/site-packages/lmfit/model.py:930, in Model.eval(self, params, **kwargs)
    897 def eval(self, params=None, **kwargs):
    898     """Evaluate the model with supplied parameters and keyword arguments.
    899 
    900     Parameters
   (...)
    928 
    929     """
--> 930     return coerce_arraylike(self.func(**self.make_funcargs(params, kwargs)))

File ~/.local/lib/python3.10/site-packages/lmfit/model.py:201, in coerce_arraylike(x)
    199 if isinstance(x, (list, tuple, Series)) or hasattr(x, '__array__'):
    200     if np.isrealobj(x):
--> 201         return np.asfarray(x)
    202     if np.iscomplexobj(x):
    203         return np.asfarray(x, dtype=np.complex128)

File ~/.local/lib/python3.10/site-packages/numpy/__init__.py:400, in __getattr__(attr)
    397     raise AttributeError(__former_attrs__[attr], name=None)
    399 if attr in __expired_attributes__:
--> 400     raise AttributeError(
    401         f"`np.{attr}` was removed in the NumPy 2.0 release. "
    402         f"{__expired_attributes__[attr]}",
    403         name=None
    404     )
    406 if attr == "chararray":
    407     warnings.warn(
    408         "`np.chararray` is deprecated and will be removed from "
    409         "the main namespace in the future. Use an array with a string "
    410         "or bytes dtype instead.", DeprecationWarning, stacklevel=2)

AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead.

[Eririf]

I find that repository on github is different from my package :(
I downloaded lmfit by pip from mirror https://mirrors.ustc.edu.cn/pypi/packages/.
It is weird that it is different from github even the version is the same.

[newville]

@Eririf Hm, that is not the code for lmfit version 1.3.4. This use of numpy. asfarray was fixed with a623f3a, nearly 2 years ago, and was included in the 1.3.0 release. More fixes for Numpy 2 happened since then, and you should definitely be using 1.3.3 or 1.3.4 if you are using Numpy2.

I would recommend re-installing and ensuring the version is correct.