pydata / pydata/sparse

Support `arr.size >= 2 ** 64` as long as each dimension is `< 2 ** 64`

Open
#600 1 comment 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

enhancement
Dominant language
Python
Stars
668
Forks
141
Avg merge
2d 8h
Merged PRs (30d)
4

Description

This issue has no description.

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.

Research direction

The issue names no files, tests, or entry points, and its body is empty. Begin by locating the array-size and dimension-limit handling, then determine the affected behavior and add tests showing that total size may reach 2 ** 64 while every dimension remains smaller. Done means those cases are supported without changing the per-dimension limit.

Written by the indexing model from the issue text.

Assessment

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

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.