resettablestacks.jl
A stack implementation with a reset! function which avoids garbage collection for scientific machine learning (SciML)
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 13 committers (15.4%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (7.6%) to scientific vocabulary
Keywords
Keywords from Contributors
Repository
A stack implementation with a reset! function which avoids garbage collection for scientific machine learning (SciML)
Basic Info
- Host: GitHub
- Owner: SciML
- License: other
- Language: Julia
- Default Branch: master
- Homepage: https://sciml.ai/
- Size: 67.4 KB
Statistics
- Stars: 7
- Watchers: 2
- Forks: 9
- Open Issues: 2
- Releases: 9
Topics
Metadata Files
README.md
ResettableStacks
A ResettableStack is a stack implementation which has a reset! function which
will "reset" the stack, allowing it to write over its previous data. This
allows you to reset the stack while avoiding garbage collection which can greatly
improve performance in certain use cases. Every FULL_RESET_COUNT resets, it
does a full reset, which is useful if the stack got very large for some reason
and it no longer needs to be that large (while minimizing garbage control costs).
Installation
To install the package, simply use:
julia
Pkg.add("ResettableStacks")
using ResettableStacks
For the latest version, checkout master via:
julia
Pkg.checkout("ResettableStacks")
Usage
```julia using ResettableStacks S = ResettableStack{}(Tuple{Float64, Float64, Float64})
push!(S, (0.5, 0.4, 0.3)) push!(S, (0.5, 0.4, 0.4)) reset!(S) push!(S, (0.5, 0.4, 0.3)) tup = pop!(S) ```
Owner
- Name: SciML Open Source Scientific Machine Learning
- Login: SciML
- Kind: organization
- Email: contact@chrisrackauckas.com
- Website: https://sciml.ai
- Twitter: SciML_Org
- Repositories: 170
- Profile: https://github.com/SciML
Open source software for scientific machine learning
Citation (CITATION.bib)
@article{DifferentialEquations.jl-2017,
author = {Rackauckas, Christopher and Nie, Qing},
doi = {10.5334/jors.151},
journal = {The Journal of Open Research Software},
keywords = {Applied Mathematics},
note = {Exported from https://app.dimensions.ai on 2019/05/05},
number = {1},
pages = {},
title = {DifferentialEquations.jl – A Performant and Feature-Rich Ecosystem for Solving Differential Equations in Julia},
url = {https://app.dimensions.ai/details/publication/pub.1085583166 and http://openresearchsoftware.metajnl.com/articles/10.5334/jors.151/galley/245/download/},
volume = {5},
year = {2017}
}
GitHub Events
Total
- Delete event: 3
- Push event: 4
- Pull request event: 6
- Create event: 3
Last Year
- Delete event: 3
- Push event: 4
- Pull request event: 6
- Create event: 3
Committers
Last synced: 8 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Christopher Rackauckas | a****s@c****m | 32 |
| dependabot[bot] | 4****] | 7 |
| Anant Thazhemadam | a****m@g****m | 4 |
| Kevin | k****s@g****m | 3 |
| Chris de Graaf | me@c****v | 2 |
| Yingbo Ma | m****5@g****m | 2 |
| Anshul Singhvi | a****7@s****u | 1 |
| David Widmann | d****n | 1 |
| Hendrik Ranocha | m****l@r****e | 1 |
| Julia TagBot | 5****t | 1 |
| Mateusz Baran | m****9@g****m | 1 |
| ScottPJones | s****s@a****u | 1 |
| Stefanos Carlström | s****m@g****m | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 3
- Total pull requests: 24
- Average time to close issues: less than a minute
- Average time to close pull requests: about 1 month
- Total issue authors: 3
- Total pull request authors: 15
- Average comments per issue: 7.0
- Average comments per pull request: 0.21
- Merged pull requests: 21
- Bot issues: 0
- Bot pull requests: 6
Past Year
- Issues: 0
- Pull requests: 1
- Average time to close issues: N/A
- Average time to close pull requests: 42 minutes
- Issue authors: 0
- Pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 1
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- ChrisRackauckas (1)
- attobot (1)
- JuliaTagBot (1)
Pull Request Authors
- dependabot[bot] (9)
- thazhemadam (6)
- ChrisRackauckas (3)
- christopher-dG (2)
- YingboMa (2)
- ScottPJones (1)
- ksmcreynolds (1)
- devmotion (1)
- asinghvi17 (1)
- jagot (1)
- tkelman (1)
- staticfloat (1)
- ranocha (1)
- mateuszbaran (1)
- JuliaTagBot (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- julia 3,018 total
- Total dependent packages: 1
- Total dependent repositories: 0
- Total versions: 7
juliahub.com: ResettableStacks
A stack implementation with a reset! function which avoids garbage collection for scientific machine learning (SciML)
- Homepage: https://sciml.ai/
- Documentation: https://docs.juliahub.com/General/ResettableStacks/stable/
- License: MIT
-
Latest release: 1.1.1
published over 3 years ago