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get_clusters

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

get_clusters appears in the code Syntology harvested for 9 papers, as 8 distinct code bodies found in 9 places (a place is one code body under one paper). At least one of them ran in 3 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 get_clusters 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 8 distinct code bodies named get_clusters; 5 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
2ran · our draft was wrong
1ran · fixture could not drive it
0ran
5unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 1 of the 9 places is 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

9 papers shown of 9, 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
MERGE$^3$: Efficient Evolutionary Merging on Consumer-grade GPUs 9 Feb 2025 tommasomncttn/merge3/src/mergenetic/extraction/extract.py 98becc383cf5defb unverified MIT (permissive)
Improving Vision Anomaly Detection with the Guidance of Language Modality 4 Oct 2023 Anfeather/CMG/train_image_with_CMG_wiki.py fe855c898737246d unverified no licence file found · pointer only
A large dataset of software mentions in the biomedical literature 2022-09 (from id) chanzuckerberg/software-mentions/software-mentions-linker-disambiguator/disambiguation/clustering.py d9fb56ebd8915b39 ran · our draft was wrong MIT (permissive)
On the Usefulness of Embeddings, Clusters and Strings for Text Generator Evaluation 31 May 2022 rycolab/clusters-in-language-evaluation/src/h01_data/get_clusters.py 455b6deac4bf98e6 ran · our draft was wrong MIT (permissive)
Adaptive-Attentive Geolocalization from few queries: a hybrid approach 14 Oct 2020 valeriopaolicelli/AdAGeo/src/util.py 67f34e56113899a8 unverified Apache-2.0 (permissive)
Contrastive Multi-View Representation Learning on Graphs 10 Jun 2020 timothewt/AdvancedGraphClustering/src/algorithms/deep/MVGRL.py 6c35beaf2f4f4958 ran · fixture could not drive it MIT (permissive)
The Proper Care and Feeding of CAMELS: How Limited Training Data Affects Streamflow Prediction 17 Nov 2019 gauchm/ealstm_regional_modeling/papercode/clusterutils.py 040feb3b499435ae unverified Apache-2.0 (permissive)
Towards Learning Universal, Regional, and Local Hydrological Behaviors via Machine-Learning Applied to Large-Sample Datasets 19 Jul 2019 kratzert/ealstm_regional_modeling/papercode/clusterutils.py 040feb3b499435ae unverified Apache-2.0 (permissive)
An efficient framework for learning sentence representations 7 Mar 2018 asappresearch/dialog-intent-induction/datasets/askubuntu_preprocess.py 68f577055d00b15c 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