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get_vars

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

get_vars appears in the code Syntology harvested for 10 papers, as 6 distinct code bodies found in 10 places (a place is one code body under one paper). At least one of them ran in 1 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_vars 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 1 of the 6 distinct code bodies named get_vars; 5 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
1ran
5unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 1 of the 10 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

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, and the graph's for 1 papers added by Syntology. 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
Rethinking Weak Supervision in Anomaly Detection: A Comprehensive Benchmark added by Syntology 2026-05 (from id) SUFE-AILAB/WSADBench/WSADBench/baseline/ARNet/model.py 4ef8e6819a534a3d ran MIT (permissive)
Off-Policy Primal-Dual Safe Reinforcement Learning 26 Jan 2024 AlgTUDelft/WCSAC/wc_sac/sac/wcsac.py a2580d7c4a763348 unverified MIT (permissive)
ACPO: A Policy Optimization Algorithm for Average MDPs with Constraints 2 Feb 2023 openai/safety-starter-agents/safe_rl/sac/sac.py a2580d7c4a763348 unverified MIT (permissive)
MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks 13 May 2021 apexrl/MapGo/utils/network_utils.py ec0ed404be89e2d8 unverified MIT (permissive)
CARL: Controllable Agent with Reinforcement Learning for Quadruped Locomotion 7 May 2020 inventec-ai-center/carl-siggraph2020/CARL/plot_action_dist.py 5a63f5f1f3182799 unverified MIT (permissive)
Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments 16 Oct 2019 flowersteam/teachDeepRL/teachDRL/spinup/algos/ddpg/core.py a2580d7c4a763348 unverified MIT (permissive)
AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers 9 Sep 2019 StanfordVL/ac-teach/src/rl_with_teachers/learners.py b5bbe4234db5167f unverified MIT (permissive)
Provably Efficient Maximum Entropy Exploration 6 Dec 2018 abbyvansoest/maxent/core.py a2580d7c4a763348 unverified MIT (permissive)
Addressing Function Approximation Error in Actor-Critic Methods 26 Feb 2018 robintyh1/icml2021-pengqlambda/spinup/algos/tf1/td3_peng/core.py a2580d7c4a763348 unverified MIT recorded; this copy not marked cleared · pointer only
Task-based End-to-end Model Learning in Stochastic Optimization 13 Mar 2017 locuslab/e2e-model-learning/newsvendor/batch.py 6e7fdf98291ef451 unverified Apache-2.0 (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