Hello Everyone, has anyone installed PyFstat module in vs code? I am encountering erros while trying to install this module. So, I’m looking for suggestions.
Here is the error message;
× Preparing metadata (pyproject.toml) did not run successfully.
│ exit code: 1
╰─> [202 lines of output]
setup.py:67: RuntimeWarning: NumPy 1.19.5 may not yet support Python 3.10.
warnings.warn(
Running from numpy source directory.
setup.py:480: UserWarning: Unrecognized setuptools command, proceeding with generating Cython sources and expanding templates
run_build = parse_setuppy_commands()
Cythonizing sources
Processing numpy/random_bounded_integers.pxd.in
Processing numpy/random\bit_generator.pyx
Processing numpy/random\mtrand.pyx
Processing numpy/random_bounded_integers.pyx.in
Processing numpy/random_common.pyx
Processing numpy/random_generator.pyx
Processing numpy/random_mt19937.pyx
Processing numpy/random_pcg64.pyx
Processing numpy/random_philox.pyx
Processing numpy/random_sfc64.pyx
blas_opt_info:
blas_mkl_info:
No module named ‘numpy.distutils._msvccompiler’ in numpy.distutils; trying from distutils
customize MSVCCompiler
I already installed the different version of numpy but still it didn’t work out.
Hi, PyFstat maintainer here. At first glance, this looks more like a numpy issue, since we haven’t actually migrated to a pyproject.toml for our setup. Also the quoted numpy version is much older than the one we have pinned as a PyFstat dependency (<1.24.0). Could you please clarify:
Is this in a clean environment of some type (venv or conda), and trying to install via pip or conda? (I’ve never tried to use vscode for installing something, so I don’t know what it does in the backend.)
Which was the “different version of numpy” you’ve tried?
Hi David, glad to hear from you. I have tried with NumPy version 1.23.5, and I am using Python 3.11.2. I used the following command: pip install --user pyfstat because I am using Jupyter Notebook. For your reference, I am attaching the screenshots.
In a conda environment with python 3.11.2, I’m able to pip install pyfstat, it pulls in numpy-1.23.5 as expected and seems to work. Differences and possible issues between what you and I are doing:
Is the jupyter server running on your own computer or a remote access?
Is your python the system-installed version or in a conda env?
You use the --user flag, which I would discourage, because it leaves hard-to-track-down installations in your home directory. Using either conda (see conda environments · PyFstat/PyFstat Wiki · GitHub ) or at least a classic venc (python -m venv myenvname) is highly recommended.
Hi David, I am running Jupyter on my own computer in VS Code. Since VS Code provides the Jupyter notebook, I have the system-installed Python version. I used the --user flag because earlier I tried without this and was getting errors, so I used the --user flag.
Can you post a pip list output from the same session?
Alternatively, you could try creating a clean environment in a separate terminal, then try to get vscode/jupyter to load the kernel from there. There are some instructions on how to do so with conda/mamba in the “enabling jupyter notebooks” section on the wiki I linked above, but I’ve not tried to combine such a setup with vscode.
Hello David, I have successfully combined the Conda environment with my VS Code, but I am still encountering the same errors. Here is the pip list;
Package Version
So there appears to be no other pre-installed numpy version visible to pip that could conflict, at least. However I’ve seen before that versions from /home/username/.local can interfer even with what I thought would be cleanly isolated conda envs.
To be entirely sure that is not the direction the issue is in:
is that pip list from inside the same notebook you’re trying to do the installation in, just before issuing the install command?
at the same moment, does import numpy fail? If it works, what is numpy.__file__?
Otherwise, I don’t have a good idea of what might be going wrong. But the one other thing you could try is conda install -c conda-forge pyfstat instead.
I think pyfstat requires specific versions of packages that may conflict with the ones you already have installed. I installed it creating a new environment as suggested on their webpage and did not have problems running it.
