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compute_averages

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

compute_averages appears in the code Syntology harvested for 10 papers, as 10 distinct code bodies found in 10 places (a place is one code body under one paper). At least one of them ran in 3 of the papers; 1 of the code bodies carries 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 compute_averages 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 3 of the 10 distinct code bodies named compute_averages; 7 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
1ran · fixture could not drive it
2ran
7unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 5 of the 10 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

10 papers shown of 10, newest first; 10 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
Boosting Alignment for Post-Unlearning Text-to-Image Generative Models 9 Dec 2024 reds-lab/restricted_gradient_diversity_unlearning/CIFAR/compute_averages.py 97895a89ae5bdd7c unverified no licence file found · pointer only
OpenScan: A Benchmark for Generalized Open-Vocabulary 3D Scene Understanding 20 Aug 2024 youjunzhao/openscan/Evaluation/MaskClustering/evaluation/evaluate.py a0d2dfe538f5c777 unverified no licence file found · pointer only
Part2Object: Hierarchical Unsupervised 3D Instance Segmentation 14 Jul 2024 chengshiest/part2object/benchmark/evaluate_semantic_instance.py 0ff7346cfa2f35ee unverified MIT (permissive)
A Unified Framework for 3D Scene Understanding 3 Jul 2024 dk-liang/uniseg3d/uniseg3d/evaluate_semantic_instance.py b0c2c75dd7b3bea7 ran Apache-2.0 (permissive)
EmPO: Emotion Grounding for Empathetic Response Generation through Preference Optimization 27 Jun 2024 justtherightsize/empo/src/average_diff.py 75f766fb37d5251d ran no licence file found · pointer only
Open-YOLO 3D: Towards Fast and Accurate Open-Vocabulary 3D Instance Segmentation 4 Jun 2024 aminebdj/OpenYOLO3D/evaluate/replica/eval_semantic_instance.py e2d190ab0e997db4 unverified no licence file found · pointer only
OpenIns3D: Snap and Lookup for 3D Open-vocabulary Instance Segmentation 1 Sep 2023 Pointcept/OpenIns3D/openins3d/evaluation/evaluate.py 1c7cec949d42c66b unverified MIT (permissive)
AGILE3D: Attention Guided Interactive Multi-object 3D Segmentation 1 Jun 2023 ywyue/agile3d/compute_ap.py 041a1bcf15d34115 unverified MIT (permissive)
Mask3D: Mask Transformer for 3D Semantic Instance Segmentation 6 Oct 2022 jonasschult/mask3d/benchmark/evaluate_semantic_instance.py fee7d4228b4a171d unverified MIT (permissive)
STPLS3D: A Large-Scale Synthetic and Real Aerial Photogrammetry 3D Point Cloud Dataset 17 Mar 2022 meidachen/STPLS3D/HAIS/STPLS3DInstanceSegmentationChallenge_Codalab_Evaluate.py 72d8a6e70d7f2816 ran · fixture could not drive it fingerprinted no licence file found · pointer only

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