Module does not support numpy 2.x

[Kingaldubikhi]

As the title suggests, there is no current support for Numpy 2.x as ISLP's modules were compiled in Numpy 1.x.

Here are two tracebacks I get when I try to import ISLP while having Numpy 2.2.0 installed:

AttributeError: _ARRAY_API not found

ImportError: numpy.core.multiarray failed to import

Downgrading to Numpy 1.26.4 fixes the issue.

[jonathan-taylor]

Can you give me your pip freeze? ISLP doesn't enforce numpy<=2. Did you install numpy2.2.0 after ISLP?

[Kingaldubikhi]

I did install Numpy 2.2.0 after ISLP. I also made sure that all dependencies were upgraded after upgrading Numpy by using pip-review.

Running pip install --upgrade ISLP automatically uninstalls Numpy 2.2.0 and installs Numpy 1.26.4 instead.

Running pip freeze with the original issue:

absl-py==2.1.0
aiohappyeyeballs==2.4.4
aiohttp==3.11.10
aiosignal==1.3.1
asttokens==3.0.0
astunparse==1.6.3
attrs==24.2.0
autograd==1.7.0
autograd-gamma==0.5.0
certifi==2024.8.30
charset-normalizer==3.4.0
cloudpickle==3.1.0
colorama==0.4.6
comm==0.2.2
contourpy==1.3.1
cycler==0.12.1
debugpy==1.8.9
decorator==5.1.1
et_xmlfile==2.0.0
executing==2.1.0
fastjsonschema==2.21.1
filelock==3.16.1
flatbuffers==24.3.25
fonttools==4.55.3
formulaic==1.0.2
frozenlist==1.5.0
fsspec==2024.10.0
future==1.0.0
gast==0.6.0
google-pasta==0.2.0
greenlet==3.1.1
grpcio==1.68.1
h5py==3.12.1
hyperopt==0.2.7
idna==3.10
imbalanced-learn==0.12.4
interface-meta==1.3.0
ipykernel==6.29.5
ipython==8.30.0
ISLP==0.4.0
jedi==0.19.2
Jinja2==3.1.4
joblib==1.4.2
jsonschema==4.23.0
jsonschema-specifications==2024.10.1
jupyter_client==8.6.3
jupyter_core==5.7.2
keras==3.7.0
kiwisolver==1.4.7
l0bnb==1.0.0
lasio==0.31
libclang==18.1.1
lifelines==0.30.0
lightning==2.4.0
lightning-utilities==0.11.9
llvmlite==0.43.0
lxml==5.3.0
Markdown==3.7
markdown-it-py==3.0.0
MarkupSafe==3.0.2
matplotlib==3.9.3
matplotlib-inline==0.1.7
mdurl==0.1.2
ml_dtypes==0.5.0
mlxtend==0.23.3
mpmath==1.3.0
multidict==6.1.0
namex==0.0.8
nbformat==5.10.4
nest-asyncio==1.6.0
networkx==3.4.2
numba==0.60.0
numpy==2.2.1
openpyxl==3.1.5
opt_einsum==3.4.0
optree==0.13.1
packaging==24.2
pandas==2.2.3
parso==0.8.4
patsy==1.0.1
pillow==11.0.0
pip-review==1.3.0
platformdirs==4.3.6
plotly==5.24.1
progressbar2==4.5.0
prompt_toolkit==3.0.48
propcache==0.2.1
protobuf==5.29.1
psutil==6.1.0
pure_eval==0.2.3
py4j==0.10.9.7
pygam==0.9.1
Pygments==2.18.0
pyparsing==3.2.0
python-dateutil==2.9.0.post0
python-utils==3.9.1
pytorch-lightning==2.4.0
pytz==2024.2
pywin32==308
PyYAML==6.0.2
pyzmq==26.2.0
referencing==0.35.1
requests==2.32.3
rich==13.9.4
rpds-py==0.22.3
scikit-learn==1.6.0
scikit-plot==0.3.7
scipy==1.11.4
seaborn==0.13.2
six==1.17.0
smote==0.1
SQLAlchemy==2.0.36
stack-data==0.6.3
statsmodels==0.14.4
sympy==1.13.1
tenacity==9.0.0
tensorboard==2.18.0
tensorboard-data-server==0.7.2
tensorflow-io-gcs-filesystem==0.31.0
tensorflow_intel==2.18.0
termcolor==2.5.0
threadpoolctl==3.5.0
torch==2.5.1
torchaudio==2.5.1
torchinfo==1.8.0
torchmetrics==1.6.0
torchvision==0.20.1
tornado==6.4.2
tqdm==4.67.1
traitlets==5.14.3
typing_extensions==4.12.2
tzdata==2024.2
urllib3==2.2.3
wcwidth==0.2.13
Werkzeug==3.1.3
wrapt==1.17.0
xgboost==2.1.3
yarl==1.18.3