AttributeError: module 'numba' has no attribute 'generated_jit'

[jw3126]

I tried:

conda install -c conda-forge clifford

When I try to import clifford I get:

AttributeError: module 'numba' has no attribute 'generated_jit'

_libgcc_mutex             0.1                 conda_forge    conda-forge
_openmp_mutex             4.5                       2_gnu    conda-forge
bzip2                     1.0.8                hd590300_5    conda-forge
c-ares                    1.28.1               hd590300_0    conda-forge
ca-certificates           2024.2.2             hbcca054_0    conda-forge
cached-property           1.5.2                hd8ed1ab_1    conda-forge
cached_property           1.5.2              pyha770c72_1    conda-forge
clifford                  1.4.0              pyhd8ed1ab_0    conda-forge
h5py                      3.10.0          nompi_py312h1b477d7_101    conda-forge
hdf5                      1.14.3          nompi_h4f84152_100    conda-forge
keyutils                  1.6.1                h166bdaf_0    conda-forge
krb5                      1.21.2               h659d440_0    conda-forge
ld_impl_linux-64          2.40                 h41732ed_0    conda-forge
libaec                    1.1.3                h59595ed_0    conda-forge
libblas                   3.9.0           21_linux64_openblas    conda-forge
libcblas                  3.9.0           21_linux64_openblas    conda-forge
libcurl                   8.7.1                hca28451_0    conda-forge
libedit                   3.1.20191231         he28a2e2_2    conda-forge
libev                     4.33                 hd590300_2    conda-forge
libexpat                  2.6.2                h59595ed_0    conda-forge
libffi                    3.4.2                h7f98852_5    conda-forge
libgcc-ng                 13.2.0               h807b86a_5    conda-forge
libgfortran-ng            13.2.0               h69a702a_5    conda-forge
libgfortran5              13.2.0               ha4646dd_5    conda-forge
libgomp                   13.2.0               h807b86a_5    conda-forge
liblapack                 3.9.0           21_linux64_openblas    conda-forge
libllvm14                 14.0.6               hcd5def8_4    conda-forge
libnghttp2                1.58.0               h47da74e_1    conda-forge
libnsl                    2.0.1                hd590300_0    conda-forge
libopenblas               0.3.26          pthreads_h413a1c8_0    conda-forge
libsqlite                 3.45.2               h2797004_0    conda-forge
libssh2                   1.11.0               h0841786_0    conda-forge
libstdcxx-ng              13.2.0               h7e041cc_5    conda-forge
libuuid                   2.38.1               h0b41bf4_0    conda-forge
libxcrypt                 4.4.36               hd590300_1    conda-forge
libzlib                   1.2.13               hd590300_5    conda-forge
llvmlite                  0.42.0          py312hb06c811_1    conda-forge
ncurses                   6.4.20240210         h59595ed_0    conda-forge
numba                     0.59.1          py312hacefee8_0    conda-forge
numpy                     1.26.4          py312heda63a1_0    conda-forge
openssl                   3.2.1                hd590300_1    conda-forge
pip                       24.0               pyhd8ed1ab_0    conda-forge
python                    3.12.2          hab00c5b_0_cpython    conda-forge
python_abi                3.12                    4_cp312    conda-forge
readline                  8.2                  h8228510_1    conda-forge
scipy                     1.13.0          py312heda63a1_0    conda-forge
setuptools                69.2.0             pyhd8ed1ab_0    conda-forge
sparse                    0.15.1             pyhd8ed1ab_1    conda-forge
tk                        8.6.13          noxft_h4845f30_101    conda-forge
tzdata                    2024a                h0c530f3_0    conda-forge
wheel                     0.43.0             pyhd8ed1ab_1    conda-forge
xz                        5.2.6                h166bdaf_0    conda-forge
zstd                      1.5.5                hfc55251_0    conda-forge

[colinthart]

I have encountered this as well

numba.generated_jit has been deprecated and removed

Discussion of the removal of numba.generated_jit and recommendations for replacement

As a workaround until this change, clifford users can pin the version of numba installed by pip numba<0.59.0

[mhartl]

Just wanted to note that I ran into this issue as well. The workaround pip install numba==0.58.1 worked for now, though there is still a deprecation warning when doing calculations. Unfortunately, it is beyond my current powers to fix the issue myself, but consider this a vote for addressing it when possible.