Skip to main content

A package for working with data on HPC platforms

Project description

hpc_suite

hpc_suite is a python package for working with data on high performance computing (HPC) systems.

Installation via pip

Install hpc_suite using pip (if using a shared machine, add the --user argument after install)

pip install hpc_suite

Updating

Update the code using pip (if using a shared machine, add the --user argument after install)

pip install hpc_suite --upgrade

Installation with pip editable install

Only do this if you are developing (i.e. changing) the code.

Clone a copy of this repository, preferably while within a directory called git

mkdir -p git; cd git
git clone https://gitlab.com/chilton-group/hpc_suite

Navigate to the package directory

cd hpc_suite/packages

and install the package in editable mode (if using a shared machine, add the --user argument after install)

pip install -e .

When you're done developing (i.e. your changes have been merged to the master), or if you just want to use the current release version of the package, uninstall using pip

pip uninstall hpc_suite

and follow the Installation via pip instructions above.

Building a .whl file (Advanced)

Only do this if you are told to.

To build a copy of the hpc_suite .whl file, move to the package directory.

Now run

./build_binaries.sh

Then install the .whl file with pip (if using a shared machine, add the --user argument after install)

pip install dist/*.whl

Documentation

The documentation for this package is hosted by gitlab, and is automatically generated whenever new code is committed to the main branch. The automatic generation of this documentation relies on a common layout for comments and docstrings within the code, see contributing for more information.

Development

Before making changes to this repository, please follow the steps outlined in the Chilton group wiki.

Bugs

If you believe you have a bug, please check that you are using the most up to date version of the code.

If that does not fix the problem, please create an issue on GitLab detailing the following:

  • The commands you entered
  • The error message

Remember to simplify the problem as much as possible in order to provide a minimum working example, e.g. an example for a small molecule rather than one with 100000 atoms.

Then, look at the code, try and figure out what you think is wrong if possible, and include this in your issue.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

hpc_suite-1.10.2.tar.gz (26.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

hpc_suite-1.10.2-py3-none-any.whl (27.0 kB view details)

Uploaded Python 3

File details

Details for the file hpc_suite-1.10.2.tar.gz.

File metadata

  • Download URL: hpc_suite-1.10.2.tar.gz
  • Upload date:
  • Size: 26.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.12.1.2 readme-renderer/44.0 requests/2.32.3 requests-toolbelt/1.0.0 urllib3/2.4.0 tqdm/4.67.1 importlib-metadata/8.7.0 keyring/25.6.0 rfc3986/2.0.0 colorama/0.4.6 CPython/3.9.22

File hashes

Hashes for hpc_suite-1.10.2.tar.gz
Algorithm Hash digest
SHA256 e40a88b4d38d0cbde49fceacd90216469ee62c8eeb7de2e35af51ef7dd796c40
MD5 74194e97d24db1cff0aea0b544f42afa
BLAKE2b-256 b90fabfca6e4303425c0c3abd41bcb284941495e7c6e0e5ed9eebcc1210ff540

See more details on using hashes here.

File details

Details for the file hpc_suite-1.10.2-py3-none-any.whl.

File metadata

  • Download URL: hpc_suite-1.10.2-py3-none-any.whl
  • Upload date:
  • Size: 27.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.12.1.2 readme-renderer/44.0 requests/2.32.3 requests-toolbelt/1.0.0 urllib3/2.4.0 tqdm/4.67.1 importlib-metadata/8.7.0 keyring/25.6.0 rfc3986/2.0.0 colorama/0.4.6 CPython/3.9.22

File hashes

Hashes for hpc_suite-1.10.2-py3-none-any.whl
Algorithm Hash digest
SHA256 ebbc6505ff5c540f59e76a1fa93e34c36d37d8febaa046ee84061416ff933d2d
MD5 792d749e976463285376f190fa7e5d77
BLAKE2b-256 49e729c8ebff5c2cc347b4031626ae5a77e015eadddd9e419c1546a8504ff269

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page