ORNL / ORNL/MATEY

Datasets coordinates beyond Cartesian and uniform

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Dominant language
Python
Stars
11
Forks
9
Avg merge
28d 6h
Merged PRs (30d)
1

Description

Spherical coordinate

  • convrsg

Polar coordinate

  • planetswe

Log-spherical coordinates

  • postneutronstarmerger

Others

  • rayleighbenard: non-uniform along the y-axis
  • rayleightaylor: varying time steps
  • supernova64, supernova128, turbgravcool, turbradlayer2D, turbradlayer3D: variable time steps

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

No files, tests, or entry points are named. Start by locating how MATEY loads and represents datasets, then examine the listed spherical, polar, log-spherical, non-uniform, and variable-time-step datasets; done means the coordinate and time-step variations in the checklist are supported.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
data, machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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