Compiler error on initial install

[Casper Camenisch]

Hi everyone,

I was unable to complete my installation of pysph due to a cython compile error.

I am running on Windows 11 and have the latest MSVC installed.

Here are the steps i took:

py -3.9 -m venv --system-site-packages SPHenv

.\SPHenv\Scripts\Activate.ps1

python -m pip install numpy cython h5py

python -m pip install https://github.com/pypr/cyarray/zipball/master

python -m pip install https://github.com/pypr/compyle/zipball/master

git clone https://github.com/pypr/pysph.git

cd pysph

python -m pip install -r requirements.txt -r requirements-test.txt

 python setup.py install

The compile error i get:

pysph\base\point.pyx:237:51: Invalid type.

Does anyone have an idea of how to resolve this?

Thank you in advance,

Casper

[Navaneet Villodi]

There are some fixes that are pending. Meanwhile, could you try this in a fresh python 3.11 venv:

pip install --upgrade pip setuptools wheel

pip install numpy cython h5py

pip install https://github.com/pypr/cyarray/zipball/master
pip install https://github.com/pypr/compyle/zipball/master

git clone https://github.com/pypr/pysph.git

cd pysph

git fetch origin pull/400/head:interim

git switch interim

pip install -r requirements.txt -r requirements-test.txt

pip uninstall -y numpy
pip install oldest-supported-numpy

pip install -e . --no-build-isolation

I am not sure if it should be done like this, but this might get it going for you until the fixes are done, I guess.

Cheers
Navaneet

[A Dinesh]

Hi all,

These instructions are unfortunately failing for me. With some workaround I found a hack which I am sharing here for a successful installation

```bash

conda create -n pysph python=3.9

conda activate pysph

pip install 'cython<3'
pip install 'numpy==1.23'
pip install h5py
pip install https://github.com/pypr/pysph/zipball/master

```

Installation these old packages of `cython` and `numpy` certainly is not raising any issues while installing `PySPH`. Hope it will be helpful to someone who

quickly wants to run the software until it is fixed with the newer versions.

Regards

Dinesh

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[Casper Camenisch]

Thank you Navaneet and Dinesh,

This method worked for me and with numpy 1.23 it is also compatible with matplotlib for visualization.

Cheers,

Casper