numpy / numpy/numpy

ENH: Derived type support checklist

Open
#21,160 0 comments 1 reaction 1 assignee View on GitHub

@HaoZeke is already working on this.

Since Mar 6, 2022.

component: numpy.f2py
Dominant language
Python
Stars
32.8k
Forks
12.8k
Avg merge
1d 7h
Merged PRs (30d)
197

Description

Proposed new feature or change:

Post #20770 there are some points remaining:

  • Scalar numeric types (c_float, c_double)
  • Derived types containing arrays of numeric data
  • Arrays of derived types

The general implementation is to have two separate implementation structures:

  • One for the intrinsic types which are defined to map to C structures
  • Another, which is possibly more flexible but also slightly more fragile, is the opaque pointer mechanism

Contributor guide

Open the contributing guide

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.

Assessment

This issue has not been assessed yet.

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.