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To support numpy 2, at least, we need to modify radis?
The following bug was fixed when using numpy 1.26 instead of numpy 2.0.1
shirochan:~/exojax/tests/unittests/spec/api(radis0.15)>python3.11 molinfo_test.py
An NVIDIA GPU may be present on this machine, but a CUDA-enabled jaxlib is not installed. Falling back to cpu.
Traceback (most recent call last):
File "/home/kawahara/exojax/tests/unittests/spec/api/molinfo_test.py", line 2, in<module>
from exojax.spec.molinfo import molmass_isotope
File "/home/kawahara/exojax/src/exojax/spec/molinfo.py", line 2, in<module>
from exojax.utils.isotopes import molmass_hitran
File "/home/kawahara/exojax/src/exojax/utils/isotopes.py", line 20, in<module>
from exojax.utils.molname import exact_molname_exomol_to_simple_molname
File "/home/kawahara/exojax/src/exojax/utils/molname.py", line 13, in<module>
from radis.db.classes import get_molecule
File "/home/kawahara/anaconda3/envs/myenv3_11/lib/python3.11/site-packages/radis-0.15-py3.11.egg/radis/__init__.py", line 220, in<module>
from . import api, db, io, lbl, los, misc, phys, spectrum, tools
File "/home/kawahara/anaconda3/envs/myenv3_11/lib/python3.11/site-packages/radis-0.15-py3.11.egg/radis/api/__init__.py", line 8, in<module>
from .cdsdapi import cdsd2df
File "/home/kawahara/anaconda3/envs/myenv3_11/lib/python3.11/site-packages/radis-0.15-py3.11.egg/radis/api/cdsdapi.py", line 28, in<module>
from .cache_files import load_h5_cache_file, save_to_hdf
File "/home/kawahara/anaconda3/envs/myenv3_11/lib/python3.11/site-packages/radis-0.15-py3.11.egg/radis/api/cache_files.py", line 40, in<module>
from .hdf5 import DataFileManager
File "/home/kawahara/anaconda3/envs/myenv3_11/lib/python3.11/site-packages/radis-0.15-py3.11.egg/radis/api/hdf5.py", line 14, in<module>
from tables.exceptions import NoSuchNodeError
File "/home/kawahara/anaconda3/envs/myenv3_11/lib/python3.11/site-packages/tables-3.9.2-py3.11-linux-x86_64.egg/tables/__init__.py", line 44, in<module>
from .utilsextension import get_hdf5_version as _get_hdf5_version
File "tables/utilsextension.pyx", line 1, in init tables.utilsextension
ValueError: numpy.dtype size changed, may indicate binary incompatibility. Expected 96 from C header, got 88 from PyObject
The text was updated successfully, but these errors were encountered:
To support numpy 2, at least, we need to modify
radis
?The following bug was fixed when using
numpy 1.26
instead ofnumpy 2.0.1
The text was updated successfully, but these errors were encountered: