Problem Installing With Pixi
Introduction
Pixi is a package manager for Python that allows you to easily install and manage dependencies for your projects. However, sometimes you may encounter issues when trying to install packages with Pixi. In this article, we will explore a common problem that occurs when trying to install packages with Pixi and provide a solution to resolve the issue.
The Problem
When trying to install the seaborn package with Pixi, you may encounter the following error:
Error: × failed to solve the pypi requirements of 'default' 'linux-64'
├─▶ The build backend returned an error
╰─▶ Call to `setuptools.build_meta:__legacy__.build_wheel` failed (exit status: 1)
[stderr]
Traceback (most recent call last):
File "<string>", line 14, in <module>
File "/home/codespace/.cache/rattler/cache/uv-cache/builds-v0/.tmpEZXaAX/lib/python3.12/site-packages/setuptools/build_meta.py", line 334, in get_requires_for_build_wheel
return self._get_build_requires(config_settings, requirements=[])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/codespace/.cache/rattler/cache/uv-cache/builds-v0/.tmpEZXaAX/lib/python3.12/site-packages/setuptools/build_meta.py", line 304, in _get_build_requires
self.run_setup()
File "/home/codespace/.cache/rattler/cache/uv-cache/builds-v0/.tmpEZXaAX/lib/python3.12/site-packages/setuptools/build_meta.py", line 522, in run_setup
super().run_setup(setup_script=setup_script)
File "/home/codespace/.cache/rattler/cache/uv-cache/builds-v0/.tmpEZXaAX/lib/python3.12/site-packages/setuptools/build_meta.py", line 320, in run_setup
exec(code, locals())
File "<string>", line 55, in <module>
File "<string>", line 52, in _guard_py_ver
RuntimeError: Cannot install on Python version 3.12.9; only versions >=3.6,<3.10 are supported.
hint: This usually indicates a problem with the package or the build environment.
Resolving the Issue
The error message indicates that the issue is related to the Python version being used. The seaborn package is not compatible with Python 3.12.9, which is the version being used in the environment.
To resolve the issue, you can try the following:
- Remove the
numbarequirement: Thenumbapackage is not compatible with Python 3.12.9, and removing it may resolve the issue. - Move the
numbarequirement to Pixi: Instead of requiringnumbain thepyproject.tomlfile, you can add it as a dependency in the Pixi configuration file.
Here is an example of how to modify the pyproject.toml file to remove the numba requirement:
[project.optional-dependencies]
dev = [
"pytest>=6.0",
"black",
"flake8",
"tox",
"uv"
]
[tool.pixi.dependencies]
seaborn = ">=0.13.2,<0.14"
And here is an example of how to modify the Pixi configuration file to add numba as a dependency:
[tool.pixi.dependencies]
numba = ">=0.61.0,<0.62"
Conclusion
In this article, we explored a common problem that occurs when trying to install packages with Pixi. The issue was related to the Python version being used, and we provided a solution to resolve the issue by removing the numba requirement and moving it to Pixi. By following these steps, you should be able to resolve the issue and successfully install the seaborn package with Pixi.
Additional Information
Here is the environment information:
(laser-core) @krosenfeld-IDM ➜ /workspaces/laser (7009c97) $ pixi list
Package Version Build Size Kind Source
_libgcc_mutex 0.1 conda_forge 2.5 KiB conda https://conda.anaconda.org/conda-forge/
_openmp_mutex 4.5 2_gnu 23.1 KiB conda https://conda.anaconda.org/conda-forge/
bzip2 1.0.8 h4bc722e_7 246.9 KiB conda https://conda.anaconda.org/conda-forge/
ca-certificates 2025.1.31 hbcca054_0 154.4 KiB conda https://conda.anaconda.org/conda-forge/
click 8.1.8 346.9 KiB pypi click-8.1.8-py3-none-any.whl
contourpy 1.3.1 964.6 KiB pypi contourpy-1.3.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
cycler 0.12.1 22.1 KiB pypi cycler-0.12.1-py3-none-any.whl
fonttools 4.56.0 19.8 MiB pypi fonttools-4.56.0-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
kiwisolver 1.4.8 5.5 MiB pypi kiwisolver-1.4.8-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
ld_impl_linux-64 2.43 h712a8e2_4 655.5 KiB conda https://conda.anaconda.org/conda-forge/
libexpat 2.6.4 h5888daf_0 71.6 KiB conda https://conda.anaconda.org/conda-forge/
libffi 3.4.6 h2dba641_0 52.2 KiB conda https://conda.anaconda.org/conda-forge/
libgcc 14.2.0 h767d61c_2 828 KiB conda https://conda.anaconda.org/conda-forge/
libgcc-ng 14.2.0 h69a702a_2 52.5 KiB conda https://conda.anaconda.org/conda-forge/
libgomp 14.2.0 h767d61c_2 449.1 KiB conda https://conda.anaconda.org/conda-forge/
liblzma 5.6.4 hb9d3cd8_0 108.7 KiB conda https://conda.anaconda.org/conda-forge/
libnsl 2.0.1 hd590300_0 32.6 KiB conda https://conda.anaconda.org/conda-forge/
libsqlite 3.49.1 hee588c1_1 894.5 KiB conda https://conda.anaconda.org/conda-forge/
libuuid 2.38.1 h0b41bf4_0 32.8 KiB conda https://conda.anaconda.org/conda-forge/
libxcrypt 4.4.36 hd590300_1 98 KiB conda https://conda.anaconda.org/conda-forge/
libzlib 1.3.1 hb9d3cd8_2 59.5 KiB conda https://conda.anaconda.org/conda-forge/
llvmlite 0.44.0 127.3 MiB pypi llvmlite-0.44.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
matplotlib 3.10.1 20.9 MiB pypi matplotlib-3.10.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
ncurses 6.5 h2d0b736_3 870.7 KiB conda https://conda.anaconda.org/conda-forge/
numba 0.61.0 15 MiB pypi numba-0.61.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.wh<br/>
**Problem Installing with Pixi: Q&A**
=====================================
**Q: What is Pixi and how does it work?**
----------------------------------------
A: Pixi is a package manager for Python that allows you to easily install and manage dependencies for your projects. It works by creating a virtual environment for your project and installing dependencies in that environment.
**Q: What is the problem with installing packages with Pixi?**
---------------------------------------------------------
A: The problem is that sometimes Pixi may not be able to install packages due to compatibility issues with the Python version being used.
**Q: What is the error message that I see when trying to install packages with Pixi?**
--------------------------------------------------------------------------------
A: The error message is:
Error: × failed to solve the pypi requirements of 'default' 'linux-64'
├─▶ The build backend returned an error
╰─▶ Call to setuptools.build_meta:__legacy__.build_wheel failed (exit status: 1)
[stderr]
Traceback (most recent call last):
File "<string>", line 14, in <module>
File "/home/codespace/.cache/rattler/cache/uv-cache/builds-v0/.tmpEZXaAX/lib/python3.12/site-packages/setuptools/build_meta.py", line 334, in get_requires_for_build_wheel
return self._get_build_requires(config_settings, requirements=[])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/codespace/.cache/rattler/cache/uv-cache/builds-v0/.tmpEZXaAX/lib/python3.12/site-packages/setuptools/build_meta.py", line 304, in _get_build_requires
self.run_setup()
File "/home/codespace/.cache/rattler/cache/uv-cache/builds-v0/.tmpEZXaAX/lib/python3.12/site-packages/setuptools/build_meta.py", line 522, in run_setup
super().run_setup(setup_script=setup_script)
File "/home/codespace/.cache/rattler/cache/uv-cache/builds-v0/.tmpEZXaAX/lib/python3.12/site-packages/setuptools/build_meta.py", line 320, in run_setup
exec(code, locals())
File "<string>", line 55, in <module>
File "<string>", line 52, in _guard_py_ver
RuntimeError: Cannot install on Python version 3.12.9; only versions >=3.6,<3.10 are supported.
hint: This usually indicates a problem with the package or the build environment.
**Q: How do I resolve the issue with installing packages with Pixi?**
-------------------------------------------------------------------
A: To resolve the issue, you can try the following:
1. **Remove the `numba` requirement**: The `numba` package is not compatible with Python 3.12.9, and removing it may resolve the issue.
2. **Move the `numba` requirement to Pixi**: Instead of requiring `numba` in the `pyproject.toml` file, you can add it as a dependency in the Pixi configuration file.
**Q: What is the environment information that I need to provide?**
----------------------------------------------------------------
A: The environment information includes the following:
* The Python version being used
* The Pixi version being used
* The `pyproject.toml` file
* The Pixi configuration file
**Q: How do I provide the environment information?**
---------------------------------------------------
A: To provide the environment information, you can use the following command:
```bash
pixi list
This will display the list of packages and their versions in the environment.
Q: What are the common issues that I may encounter when using Pixi?
A: Some common issues that you may encounter when using Pixi include:
- Compatibility issues with Python versions: Pixi may not be able to install packages due to compatibility issues with the Python version being used.
- Dependency conflicts: Pixi may not be able to install packages due to dependency conflicts.
- Package installation errors: Pixi may not be able to install packages due to errors during the installation process.
Q: How do I troubleshoot issues with Pixi?
A: To troubleshoot issues with Pixi, you can try the following:
- Check the error message: The error message may provide clues about the issue.
- Check the environment information: The environment information may provide clues about the issue.
- Check the Pixi documentation: The Pixi documentation may provide solutions to common issues.
- Check online forums and communities: Online forums and communities may provide solutions to common issues.