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oscar.py's Introduction

Python interface for OSCAR data

This is a convenience library to access OSCAR dataset. Since everything is stored in local files it won't work unless you have access to one of OSCAR servers.

IMPORTANT: all servers have access to each other's data through NFS, which is subject to network delays and failures. So, for faster access this module assumes you're working on da4, where all the files are stored.

Installation

# pip is not available on OSCAR servers
easy_install --user --upgrade oscar

Reference

Please see https://ssc-oscar.github.io/oscar.py for the reference.

How to contribute - read carefully

master is for releases only. Development happens on feature branches, which stem from dev branch and merge back. Once in a while dev is merged to master, producing a new release. This rule is mostly because of the server layout preventing us from running unit tests automatically.

We use conventional commits message convention. This means that you MUST prepend commit messages with one of:

  • fix: in case the change fixes a problem without changing any interfaces. Example commit message: fix: missing clickhouse-driver dependency (closes #123).
  • feat: the change implements a new feature, without affecting existing interfaces. Example: feat: implement author timeline.
  • chore: the change does not affect functionality, e.g. PEP8 fixes. E.g.: chore: PEP8 fixes
  • docs:: similar to chore: but explicitly related to documentation. E.g.: docs: add timeline usage examples
  • refactor: similar to chore:

In case of breaking changes (i.e. if any interfaces were changed, breaking backward compatibility), commit message should contain BREAKING CHANGE in the footer.

Commit messages will be used to automatically bump version. fix, chore, docs will produce patch versions, feat will result in a minor version bump, and in case of breaking changes the major version will be incremented. As a consequence, you must never change version number manually.

Not following these procedures might take your pull request extra time to review and in some cases will require rewriting the commit history.

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