Description
Idea
The goal of this project would be to implement various matrix and multi-dimensional format parsers and data loaders. E.g.,
- Matrix Market
- NumPy
npy - DLPack
- MATLAB
mat - others?
Implementing these parsers and loaders would facilitate array data interchange with other numerical computing ecosystems.
Expected outcomes
Users will be able to load multi-dimensional array data saved in other numerical computing environments into stdlib's ndarray data structure.
Status
No work has begun on this.
Involved software
Access to MATLAB/Octave would be useful for implementing the MAT-file parser. One would likely need to use Python and NumPy in order to save and work with npy files.
Technology
JavaScript
Other technology
None.
Difficulty
4
Difficulty justification
Some of the file format specifications can be quite involved. It is also likely that we may encounter situations in which we cannot support particular formats in full due to dtype incompatibility, etc.
Prerequisite knowledge
Familiarity with JavaScript, Python, and MATLAB would be useful. Experience writing parsers and performing IO will also be beneficial.
Project length
90/175/350. Can be scoped accordingly.
Checklist
- I have read and understood the Code of Conduct.
- I have read and understood the application materials found in this repository.
- The issue name begins with
[Idea]:and succinctly describes your idea. - I understand that, in order to apply to be a GSoC contributor, I must submit my final application to https://summerofcode.withgoogle.com/ before the submission deadline.