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Make JuMP implementation compatible with generic types

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Assessment

Difficulty
4/5
Estimated time
3-5 days
Newbie friendliness
35/100
Issue type
Feature
Clarity
Mostly clear
Activity status
Stale
Tech stack
julia
Domain
backend

Research direction

Start by reading the linked JuMP arbitrary-precision tutorial, then review the repository's implementations to identify where Float64 is assumed. Add the requested type keyword arguments across the implementations and create a test demonstrating generic-type support; the issue does not name specific files or an existing test.

Written by the indexing model from the issue text.

Description

Right now we only support Float64.
https://jump.dev/JuMP.jl/stable/tutorials/conic/arbitrary_precision/

TODO:

  • Add the keyword argument for the type in all the functions.
  • Review ALL the implementations
  • Add a test for that
Dominant language
Julia
Stars
90
Forks
48
Avg merge
14h 53m
Merged PRs (30d)
1

Getting set up

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.

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