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getData

Syntologyentry name in harvested coderead from the graph 2026-09-24

getData appears in the code Syntology harvested for 7 papers, as 9 distinct code bodies found in 9 places (a place is one code body under one paper). At least one of them ran in 0 of the papers; 0 of the code bodies carry a behaviour fingerprint.

What this page is not. Routines are grouped here by the exact string of their function or class name. Nothing asserts that two samples named getData do the same thing, share code, or are comparable; the name is a string, not an identity. Behaviour outputs (what a fingerprinted sample returned on the shared battery) are not in this export and are not shown here; the graph at syntology.ai holds them. "Ran" means executed on a synthesized fixture, not that the code is correct or reproduces a paper.

Samples Syntology

Syntology ran 0 of the 9 distinct code bodies named getData; 9 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
0ran
9unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 2 of the 9 places are pointer only (Syntology does not serve that copy's text). This site shows no code text for any sample; every row below links to the file in its repository where the record names one.

“Ran” means the sample executed on a synthesized input; it does not mean the output is correct. “Honoured” and “violated” refer to a contract Syntology drafted from the code itself; “our draft was wrong” and “fixture could not drive it” are failures of Syntology's instrument, not of the code, and those samples did run. The ran count above is every status except unverified, the same rule as each paper page.

Papers

7 papers shown of 7, newest first; 9 places in the table. A paper with no recorded date is placed by the month its arXiv id encodes, shown in the Date column as YYYY-MM (from id). One row per place: a paper whose repository defines the name more than once appears more than once, and the same code body held for several papers appears once under each, with the same status. Titles and dates are the archive's archive 2025-07-28 for papers in the archive. Status and fingerprint are Syntology's record of each code body; licence is recorded for each place. The File cell ends with the code body's code_sha256, Syntology's identity for that exact code: an agent fetches the stored sample with Syntology's MCP tool get_code(code_sha256="…") (how to connect); click an identity to copy that call.

PaperDateFileStatus SyntologyLicence
GATE: How to Keep Out Intrusive Neighbors 1 Jun 2024 RelationalML/GATE/runExp_GAT(E).py 75754b0795a7682e unverified no licence file found · pointer only
GATE: How to Keep Out Intrusive Neighbors 1 Jun 2024 relationalml/gate/runExp_RigidArch.py 17bf82238d48040f unverified no licence file found · pointer only
DREAM: a fluid-kinetic framework for tokamak disruption runaway electron simulations 2021-03 (from id) chalmersplasmatheory/DREAM/py/DREAM/DREAMIO.py 24f3cb5f5d39a48a unverified MIT (permissive)
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning 1 Jun 2020 amirgholami/adahessian/image_classification/utils.py 52e6b930397c2338 unverified MIT (permissive)
U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection 18 May 2020 Akhilesh64/Image-Segmentation-U-2-Net/dataLoader.py 21c24045e17c6985 unverified MIT (permissive)
U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection 18 May 2020 Akhilesh64/Image-Segmentation-U-2-Net/Scripts_DUTS/dataLoader.py 8144398e708b679f unverified MIT (permissive)
PyHessian: Neural Networks Through the Lens of the Hessian 16 Dec 2019 amirgholami/pyhessian/utils.py 1f5d5616297ed7a9 unverified MIT (permissive)
Quasi-Newton Methods for Machine Learning: Forget the Past, Just Sample 28 Jan 2019 OptMLGroup/SQN/data_generation.py 7f5cb0801555fb37 unverified MIT (permissive)
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs 2 Jun 2016 aldo-aguilar/nu-style/CycleGan/src/dataset.py 1127bbe82e43e0e6 unverified MIT (permissive)

This site shows no code text; each File cell links to the file on GitHub at the repository's current default branch, which may have changed since the harvest. "Pointer only" means Syntology does not serve that copy's text, for one of four reasons: no licence file was found; the licence was not identified; the licence is recorded as permissive but that copy's record is not marked cleared; or the licence is outside the permissive list Syntology serves text under (MIT, Apache-2.0, BSD and similar). Some licences outside that list permit redistribution, such as WTFPL, and GPL-3.0 under its conditions; they are simply not on the list. Hover a licence cell for the reason. Per-sample records for a paper are on its paper page under "Code Syntology ran".

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections