Home › Code › readfile

readfile

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

readfile appears in the code Syntology harvested for 11 papers, as 12 distinct code bodies found in 12 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 readfile 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 12 distinct code bodies named readfile; 9 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
0ran · fixture could not drive it
1ran
9unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 2 of the 12 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

11 papers shown of 11, newest first; 12 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; 1 papers have no page here and are shown by arXiv id only. 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
Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment 29 Feb 2024 OpenBMB/CPO/src/CDPO/data_preparation/lib/file_func.py 4334eae9875cd51c ran MIT (permissive)
An efficient algorithm for integer lattice reduction 2023-03 (from id) facebookresearch/latticer/codes/graph.py c3cce05d250afa45 unverified MIT recorded; this copy not marked cleared · pointer only
Detecting Label Errors in Token Classification Data 8 Oct 2022 cleanlab/token-label-error-benchmarks/utils.py 4a2ea73644772367 unverified Apache-2.0 (permissive)
EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization 19 Jun 2021 ondrejbohdal/evograd/CrossLingualLearningMetaXL/mtrain.py b23c45da1891b8ed ran · our draft was wrong MIT (permissive)
FSD50K: An Open Dataset of Human-Labeled Sound Events 1 Oct 2020 SarthakYadav/GISE-51-pytorch/pack_mixtures_into_lmdb.py 28f561c79edca3de unverified MIT (permissive)
Train No Evil: Selective Masking for Task-Guided Pre-Training 21 Apr 2020 thunlp/SelectiveMasking/mask_model_pretrain.py e4c84991f65ae5cf ran · our draft was wrong no licence file found · pointer only
Improved Baselines with Momentum Contrastive Learning 9 Mar 2020 derrickwang005/mosrep/imagenet2wds.py efba4631d8880f62 unverified MIT (permissive)
ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations 2 Nov 2019 SVAIGBA/TwASP/twasp_model.py 013a1a80d4e2be45 unverified MIT (permissive)
ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations 2 Nov 2019 SVAIGBA/WMSeg/wmseg_model.py 3e642a8045e6ba92 unverified MIT (permissive)
Confident Learning: Estimating Uncertainty in Dataset Labels 31 Oct 2019 cleanlab/examples/entity_recognition/run_ner.py 217e4fc276ef67c1 unverified Apache-2.0 (permissive)
Named Entity Recognition with Bidirectional LSTM-CNNs 26 Nov 2015 mxhofer/Named-Entity-Recognition-BidirectionalLSTM-CNN-CoNLL/prepro.py 5b7a20a3a09ffb47 unverified MIT (permissive)
arXiv:2021.emnlp-main.721 yangheng95/LCF-ATEPC/utils/data_utils.py 68cbb50f1dc71156 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