A rocker extension for installing pixi in a container
Project description
palanteer_rocker
Continuous Integration Status
Intro
This is a rocker extension for adding palanteer to a docker container. Check out the rocker GitHub page for more details on how rocker and its extensions work. In short, rocker allows you to add custom capabilities to existing docker images.
Installation
pip install palanteer-rocker
Usage
To install palanteer in an image use the --palanteer
flag
#add palanteer to the ubuntu:22.04 image
rocker --palanteer ubuntu:22.04
# add palanteer to the nvidia/cuda image
rocker --palanteer nvidia/cuda
Note that the above example will install palanteer but not work out of the box because the container will not have the correct graphics settings.
To try a fully working example with graphics install rockerc
$ pip install rockerc
# move into the palanteer_rocker folder which contains a rockerc.yaml file with arguments for setting up graphics (and palanteer)
$ cd palanteer_rocker
# launch rocker with graphics and palanteer flags
$ rockerc
inside the container
$ palanteer
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file palanteer_rocker-0.0.1.tar.gz
.
File metadata
- Download URL: palanteer_rocker-0.0.1.tar.gz
- Upload date:
- Size: 5.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.11.10
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 627db41297f399ff425c73ecdcd5bd085ea255e70e838380ea68fd3c81afdcf7 |
|
MD5 | 25ad56cbbea5833c2dc7669ca7f5363d |
|
BLAKE2b-256 | 8dd9f0a824494c4cd41e4a2ef28f423ceb50eaf3436a9ae98825e57032036357 |
File details
Details for the file palanteer_rocker-0.0.1-py2.py3-none-any.whl
.
File metadata
- Download URL: palanteer_rocker-0.0.1-py2.py3-none-any.whl
- Upload date:
- Size: 4.4 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.11.10
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 93ad2fe65a7d33dccbfcae4ea38b250f01dbc77d32972aff11395a5d32e69340 |
|
MD5 | ec87e4008c38abb91eb8c6ea655649e7 |
|
BLAKE2b-256 | 621a52a7685b291f64bee554462ccc7139683dd6a51e8d63e5a876c32413d9a7 |