MicroFloatingPoints.jl
MicroFloatingPoints.jl: providing very small IEEE 754-compliant floating-point types - Published in JOSS (2024)
Science Score: 54.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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✓Committers with academic emails
2 of 3 committers (66.7%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (10.4%) to scientific vocabulary
Keywords
Repository
A Julia package to manipulate very small IEEE 754 standard-compliant floating-point numbers.
Basic Info
Statistics
- Stars: 12
- Watchers: 1
- Forks: 2
- Open Issues: 0
- Releases: 13
Topics
Metadata Files
README.md
MicroFloatingPoints
The MicroFloatingPoints package defines the Floatmu parametric type to manipulate IEEE 754 standard-compliant floating-point numbers with a very small size (from 5 bits up to 32 bits).
Example of use
Adding 0.25 and 2.0 in a floating-point format with 1 bit for the sign (implied), 2 bits for the exponent, and 2 bits for the fractional part (3 bits for the whole significand with the hidden bit), and testing whether the result had to be rounded:
``` julia julia> using MicroFloatingPoints
julia> Floatmu{2,2}(0.25)+Floatmu{2,2}(2.0) 2.0
julia> inexact() true ```
Installation
The package can be installed with the Julia package manager. From the Julia REPL, type ] to enter the Pkg REPL mode and run:
julia
pkg> add MicroFloatingPoints
Or, equivalently, via the Pkg API:
julia
julia> import Pkg; Pkg.add("MicroFloatingPoints")
Optionally, to enable plotting, install either one of PyPlot.jl or PythonPlot.jl as follows.
julia-repl
julia> import Pkg; Pkg.add("PyPlot")
OR
julia-repl
julia> import Pkg; Pkg.add("PythonPlot")
Note that the matplotlib Python package must be available through PyCall or PythonCall.
This is usually setup when installing PyPlot.jl
or PythonPlot.jl, which are optional (weak) dependencies
that provide plotting backends via package extensions.
Documentation
Project status
The package is developed and has been tested on Julia 1.6 through 1.10.
Owner
- Name: Frédéric GOUALARD
- Login: goualard-f
- Kind: user
- Company: Nantes Université, France
- Website: https://frederic.goualard.net/
- Repositories: 3
- Profile: https://github.com/goualard-f
Citation (CITATION.cff)
cff-version: "1.2.0"
authors:
- family-names: Goualard
given-names: Frédéric
orcid: "https://orcid.org/0000-0002-1798-1568"
doi: 10.5281/zenodo.13777404
message: If you use this software, please cite our article in the
Journal of Open Source Software.
preferred-citation:
authors:
- family-names: Goualard
given-names: Frédéric
orcid: "https://orcid.org/0000-0002-1798-1568"
date-published: 2024-09-18
doi: 10.21105/joss.07050
issn: 2475-9066
issue: 101
journal: Journal of Open Source Software
publisher:
name: Open Journals
start: 7050
title: "MicroFloatingPoints.jl: providing very small
IEEE 754-compliant floating-point types"
type: article
url: "https://joss.theoj.org/papers/10.21105/joss.07050"
volume: 9
title: "MicroFloatingPoints.jl: providing very small
IEEE 754-compliant floating-point types"
GitHub Events
Total
Last Year
Committers
Last synced: 7 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Frédéric Goualard | F****d@u****r | 79 |
| Mark Kittisopikul | m****t@g****m | 12 |
| Daniel S. Katz | d****z@i****g | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 8
- Total pull requests: 7
- Average time to close issues: 5 months
- Average time to close pull requests: about 22 hours
- Total issue authors: 5
- Total pull request authors: 3
- Average comments per issue: 3.0
- Average comments per pull request: 0.29
- Merged pull requests: 6
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 4
- Pull requests: 7
- Average time to close issues: 12 days
- Average time to close pull requests: about 22 hours
- Issue authors: 2
- Pull request authors: 3
- Average comments per issue: 1.75
- Average comments per pull request: 0.29
- Merged pull requests: 6
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- matbesancon (3)
- tkgunaratne (2)
- goualard-f (1)
- chakravala (1)
- JuliaTagBot (1)
Pull Request Authors
- mkitti (8)
- danielskatz (4)
- goualard-f (2)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
- Total downloads: unknown
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 9
juliahub.com: MicroFloatingPoints
A Julia package to manipulate very small IEEE 754 standard-compliant floating-point numbers.
- Documentation: https://docs.juliahub.com/General/MicroFloatingPoints/stable/
- License: LGPL-3.0
-
Latest release: 2.0.0
published over 1 year ago
Rankings
Dependencies
- JuliaRegistries/TagBot v1 composite
- actions/checkout v4 composite
- julia-actions/setup-julia latest composite