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parse_cli_to_yaml

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

parse_cli_to_yaml appears in the code Syntology harvested for 29 papers, as 10 distinct code bodies found in 30 places (a place is one code body under one paper). At least one of them ran in 2 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 parse_cli_to_yaml 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 10 distinct code bodies named parse_cli_to_yaml; 9 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
1ran · 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: 0 of the 30 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

29 papers shown of 29, newest first; 30 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
SLAB: Efficient Transformers with Simplified Linear Attention and Progressive Re-parameterized Batch Normalization 19 May 2024 MS-P3/code4/DECO/model_utils/config.py 85b09f6f153fd5d3 unverified Apache-2.0 (permissive)
An Image Patch is a Wave: Phase-Aware Vision MLP 24 Nov 2021 kingcong/models/MGN/model_utils/config.py 96d37c643b26e9d8 unverified Apache-2.0 (permissive)
Enhancing Unsupervised Anomaly Detection with Score-Guided Network 10 Sep 2021 urbanmobility/SGM_mindspore/model_utils/config.py 1c44a0c487504765 unverified MIT (permissive)
Rethinking Coarse-to-Fine Approach in Single Image Deblurring 11 Aug 2021 LKLQQ/MIMO-UNet/src/config.py 96d37c643b26e9d8 unverified Apache-2.0 (permissive)
YOLOX: Exceeding YOLO Series in 2021 18 Jul 2021 2023-MindSpore-1/ms-code-31/model_utils/config.py 738456e1b7388e7e unverified Apache-2.0 (permissive)
Dynamic Resolution Network 5 Jun 2021 LKLQQ/DRNet/src/model_utils/config.py f0b391cf1db2ea47 unverified Apache-2.0 (permissive)
Vision Transformers for Dense Prediction 24 Mar 2021 mszpc/3d_dense/3d_densenet/src/model_utils/config.py f0b391cf1db2ea47 unverified Apache-2.0 (permissive)
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection 8 Jun 2020 mszpc/nanodet/nanodet/src/model_utils/config.py 3498f707d22460cd unverified Apache-2.0 (permissive)
End-to-End Object Detection with Transformers 26 May 2020 LKLQQ/detr/model_utils/config.py 85b09f6f153fd5d3 unverified Apache-2.0 (permissive)
YOLOv4: Optimal Speed and Accuracy of Object Detection 23 Apr 2020 2023-MindSpore-1/ms-code-51/model_utils/config.py 738456e1b7388e7e unverified Apache-2.0 (permissive)
FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking 4 Apr 2020 15534081591/FairMOT/src/config.py 96d37c643b26e9d8 unverified Apache-2.0 (permissive)
FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking 4 Apr 2020 15534081591/FairMOT/modelarts/util/config.py 738456e1b7388e7e unverified Apache-2.0 (permissive)
Deep Learning for Person Re-identification: A Survey and Outlook 13 Jan 2020 Haoyu1004/AGW_mindspore/src/utils/config.py ff75f4d130ead571 ran · our draft was wrong Apache-2.0 (permissive)
Learning Generalisable Omni-Scale Representations for Person Re-Identification 15 Oct 2019 mszpc/osnet/osnet/model_utils/config.py ff75f4d130ead571 ran · our draft was wrong Apache-2.0 (permissive)
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations 26 Sep 2019 lyqcom/albert/model_utils/config.py 37834d67b70e1be4 unverified Apache-2.0 (permissive)
U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation 25 Jul 2019 alililia/ascend_U-GAT-IT/src/modelarts_utils/config.py 738456e1b7388e7e unverified Apache-2.0 (permissive)
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer 2 Jul 2019 freshtan/midas_v2/src/config.py 738456e1b7388e7e unverified Apache-2.0 (permissive)
What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis 3 Apr 2019 JoegameZhou/cnnctc/src/model_utils/config.py 3498f707d22460cd unverified Apache-2.0 (permissive)
MultiGrain: a unified image embedding for classes and instances 14 Feb 2019 2023-MindSpore-1/ms-code-62/model_utils/config.py 738456e1b7388e7e unverified Apache-2.0 (permissive)
CBAM: Convolutional Block Attention Module 17 Jul 2018 LKLQQ/CBAM/src/model_utils/config.py 738456e1b7388e7e unverified Apache-2.0 (permissive)
PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning 17 Apr 2018 stevenolvil/PredRNN-V2/config.py 3498f707d22460cd unverified Apache-2.0 (permissive)
YOLOv3: An Incremental Improvement 8 Apr 2018 zhanghuiyao/yolov3_mindspore/model_utils/config.py 738456e1b7388e7e unverified MIT (permissive)
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks 9 Mar 2017 LKLQQ/LEO/model_utils/config.py c0de2922e383c9ed unverified Apache-2.0 (permissive)
Wide Residual Networks 23 May 2016 alililia/wideresnet_Ascend/src/model_utils/config.py e40d691753e7e653 unverified Apache-2.0 (permissive)
Stacked Hourglass Networks for Human Pose Estimation 22 Mar 2016 yangyucheng000/StackedHourglass/model_utils/config.py 738456e1b7388e7e unverified Apache-2.0 (permissive)
Identity Mappings in Deep Residual Networks 16 Mar 2016 JoegameZhou/ms-resnetv2/model_utils/config.py 738456e1b7388e7e unverified Apache-2.0 (permissive)
Deep Residual Learning for Image Recognition 10 Dec 2015 alililia/ascend_FaceAttribute/model_utils/config.py 738456e1b7388e7e unverified Apache-2.0 (permissive)
Rethinking the Inception Architecture for Computer Vision 2 Dec 2015 hwzwx1190522/inceptionv3/inceptionv3/src/model_utils/config.py 738456e1b7388e7e unverified Apache-2.0 (permissive)
Sequence to Sequence Learning with Neural Networks 10 Sep 2014 2023-MindSpore-1/ms-code-61/model_utils/config.py 738456e1b7388e7e unverified Apache-2.0 (permissive)
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation 3 Jun 2014 hwzwx1190522/gru/gru/model_utils/config.py 738456e1b7388e7e 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".

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