Tootfinder

Whow, #Python leads the current Tiobe Index by a wide margin: https://python-basics-tutorial.readthedocs.io/en/latest/intro.html

#Python's many command-line utilities
https://www.pythonmorsels.com/cli-tools/

Forgot to post about the 0.14.0 ha-mqtt-discoverable python module release
**Full Changelog**: https://github.com/unixorn/ha-mqtt-discoverable/compare/v0.13.1...v0.14.0
New Contributors
* @dianlight made their first contribution in <…

Comparing v0.13.1...v0.14.0 · unixorn/ha-mqtt-discoverable
Python module to create MQTT entities that are automatically discovered by Home Assistant - Comparing v0.13.1...v0.14.0 · unixorn/ha-mqtt-discoverable

falling in love with #qutebrowser again: https://github.com/qutebrowser/qutebrowser

GitHub - qutebrowser/qutebrowser: A keyboard-driven, vim-like browser based on Python and Qt.
A keyboard-driven, vim-like browser based on Python and Qt. - qutebrowser/qutebrowser

A co-worker gave me some ChatGPT output and asked me to make it work. It was supposed to be code to determine the amount of space a company's Slack used. After a link to installing the Slack development environment in Deno, it name dropped a totally unrelated 6-year-old script from GitHub, then vomited up some python pseudo-code.

Does #setuptools maintainer think it is a good idea to use setuptools as a #PEP517 build system?
Yep, he probably does. And to prove it, he installs `docs` straight into `site-packages`.
#Gentoo #Python

python_dependency: Python Dependency Network
Python's package dependency networks. Nodes in the network are Python's packages registered to PyPI and edges are dependencies among packages.
This network has 58743 nodes and 108399 edges.
Tags: Technological, Software, Unweighted
https://n…

lenscat: a Public and Community-Contributed Catalog of Known Strong Gravitational Lenses
L. Vujeva, R. K. L. Lo, J. M. Ezquiaga, J. C. L. Chan
https://arxiv.org/abs/2406.04398

lenscat: a Public and Community-Contributed Catalog of Known Strong Gravitational Lenses
We present lenscat, a public and community-contributed catalog of strong gravitational lenses found by electromagnetic surveys. The main objective of lenscat is to compile a simple, easy-to-access catalog that can be used in a variety of lensing studies, such as facilitating the search for the host galaxy of a candidate strongly lensed transient event. We also provide a python package to interact with tools commonly used by the community. This allows end users both with and without lensing expe…

Missing: a :python: #Python package to make flowcharts with #pythonRich, i.e. to draw arrows between (auto-arranged) renderables.
https://g…

GitHub - Textualize/rich: Rich is a Python library for rich text and beautiful formatting in the terminal.
Rich is a Python library for rich text and beautiful formatting in the terminal. - Textualize/rich

#Python Friday #231: Split a #FastAPI Application Into Manageable Parts
https://

HTESP (High-throughput electronic structure package): a Package for the high-throughput $ab$ $initio$ calculations
Niraj K. Nepal, Paul C. Canfield, Lin-Lin Wang
https://arxiv.org/abs/2406.04537

HTESP (High-throughput electronic structure package): a Package for the high-throughput $ab$ $initio$ calculations
We introduce HTESP (High-Throughput Electronic Structure Package), an automated tool designed for high-throughput $ab$ $initio$ calculations. HTESP simplifies the entire workflow, including data extraction, input files generation, calculation submission, result collection, and plotting. The package is implemented in Python and Bash languages. In this paper, we provide detailed information about the package, its installation process and some illustrative examples to demonstrate its usage. Additi…

Now in #Python discussion forums: #Apple apparently has some broken auto-review that rejects everything including Python, because of — apparently — `itms-services://` occurring inside Python's standard library (in tests).
#GAFAM

Dziś na forach dyskusyjnych Pythona: wygląda na to, że #Apple ma jakiś zdurniały proces automatycznego przeglądu aplikacji, który odrzuca wszystko zbudowane w oparciu o Pythona, bo — najwyraźniej — w bibliotece standardowej (w testach) występuje ciąg znaków `itms-services://`.

So, looks like the way the Python `requests` module parses string arrays into parameters was very different than what the NWS API was looking for so I was only getting `Severe` watches and warnings and none of the `Extreme` ones. It's already been a busy morning...lol. #python #weather

LibProf: A Python Profiler for Improving Cold Start Performance in Serverless Applications
Syed Salauddin Mohammad Tariq, Ali Al Zein, Soumya Sripad Vaidya, Arati Khanolkar, Probir Roy
https://arxiv.org/abs/2406.11734

LibProf: A Python Profiler for Improving Cold Start Performance in Serverless Applications
Serverless computing abstracts away server management, enabling automatic scaling and efficient resource utilization. However, cold-start latency remains a significant challenge, affecting end-to-end performance. Our preliminary study reveals that inefficient library initialization and usage are major contributors to this latency in Python-based serverless applications. We introduce LibProf, a Python profiler that uses dynamic program analysis to identify inefficient library initializations. Li…

El gran problema de #python es el puto indentado. Si llegas a combinar tabulación y espacios todo se vuelve un caos 😫

Does anyone know a good introduction into #machinelearning where #mlr3 for #R is used? Most lecture- or seminarmaterial I'm finding is using python for demonstration and tasks.

Video tutorials for modern ideas and open source tools. #python

Code. Simply. Clearly. Calmly.
Short and simple video lessons that start from scratch. Tools and thoughts that might make your professional life more enjoyable.

Python-based DSL for generating Verilog model of Synchronous Digital Circuits
Mandar Datar (Indian Institute of Technology Bombay), Dhruva S. Hegde (Indian Institute of Technology Bombay), Vendra Durga Prasad (Indian Institute of Technology Bombay), Manish Prajapati (Indian Institute of Technology Bombay), Neralla Manikanta (Indian Institute of Technology Bombay), Devansh Gupta (Indian Institute of Technology Bombay), Janampalli Pavanija (Indian Institute of Technology Bombay), Pratyus…

Python-based DSL for generating Verilog model of Synchronous Digital Circuits
We have designed a Python-based Domain Specific Language (DSL) for modeling synchronous digital circuits. In this DSL, hardware is modeled as a collection of transactions -- running in series, parallel, and loops. When the model is executed by a Python interpreter, synthesizable and behavioural Verilog is generated as output, which can be integrated with other RTL designs or directly used for FPGA and ASIC flows. In this paper, we describe - 1) the language (DSL), which allows users to express …

Why should folks doing #Development use test-driven development?
I wrote a #Python utility to help me collect and manage systems from a variety of platforms. Originally it started as a one-off so I wasn't concerned about tests, but the code continued to grow as …

I've added `dev-python/legacy-cgi` to #Gentoo, as a "forward-port" of the removed #Python `cgi` (and `cgitb`) module to Python 3.13. That said, it's only a stop-gap solution to make semi-dead packages work and not something you should rely on, so it's marked as deprecated immediately after being added.
Also, ideally please avoid keeping it installed in your dev environments. Once installed, all `import cgi` statements will suddenly start working, so you're going to miss Python 3.13 incompatibility issues (and therefore miss the dependency on this package).

Been making macros for libreoffice calc sheets in python...
UNLIMITED POWER!!!!

LibProf: A Python Profiler for Improving Cold Start Performance in Serverless Applications
Syed Salauddin Mohammad Tariq, Ali Al Zein, Soumya Sripad Vaidya, Arati Khanolkar, Probir Roy
https://arxiv.org/abs/2406.11734

LibProf: A Python Profiler for Improving Cold Start Performance in Serverless Applications
Serverless computing abstracts away server management, enabling automatic scaling and efficient resource utilization. However, cold-start latency remains a significant challenge, affecting end-to-end performance. Our preliminary study reveals that inefficient library initialization and usage are major contributors to this latency in Python-based serverless applications. We introduce LibProf, a Python profiler that uses dynamic program analysis to identify inefficient library initializations. Li…

This https://arxiv.org/abs/2310.01968 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCE_…

PyHexTop: a compact Python code for topology optimization using hexagonal elements
Python serves as an open-source and cost-effective alternative to the MATLAB programming language. This paper introduces a concise topology optimization Python code, named ``\texttt{PyHexTop}," primarily intended for educational purposes. Code employs hexagonal elements to parameterize design domains as such elements provide checkerboard-free optimized design naturally. \texttt{PyHexTop} is developed based on the ``\texttt{HoneyTop90}" MATLAB code~\cite{kumar2023honeytop90} and uses the \texttt…

Ah, things I found interesting...
- Figuring out if there are `NaN` numbers in a Python list: `any(i != i for i in float_list)`.
- Replacing single newlines while ignoring double newlines: `"\n\n".join([i.replace("\n", ' ') for i in cool_string.split("\n\n")])`
#python

One thing that #python has on #ruby is that - to my eyes - I can write a mess of spaghetti code without running it in python and think "I think this is going to work."
Of course, running it is key...

McEval: Massively Multilingual Code Evaluation
Linzheng Chai, Shukai Liu, Jian Yang, Yuwei Yin, Ke Jin, Jiaheng Liu, Tao Sun, Ge Zhang, Changyu Ren, Hongcheng Guo, Zekun Wang, Boyang Wang, Xianjie Wu, Bing Wang, Tongliang Li, Liqun Yang, Sufeng Duan, Zhoujun Li
https://arxiv.org/abs/2406.07436

McEval: Massively Multilingual Code Evaluation
Code large language models (LLMs) have shown remarkable advances in code understanding, completion, and generation tasks. Programming benchmarks, comprised of a selection of code challenges and corresponding test cases, serve as a standard to evaluate the capability of different LLMs in such tasks. However, most existing benchmarks primarily focus on Python and are still restricted to a limited number of languages, where other languages are translated from the Python samples (e.g. MultiPL-E) de…

scores: A Python package for verifying and evaluating models and predictions with xarray and pandas
Tennessee Leeuwenburg, Nicholas Loveday, Elizabeth E. Ebert, Harrison Cook, Mohammadreza Khanarmuei, Robert J. Taggart, Nikeeth Ramanathan, Maree Carroll, Stephanie Chong, Aidan Griffiths, John Sharples
https://arxiv.org/abs/2406.…

scores: A Python package for verifying and evaluating models and predictions with xarray and pandas
`scores` is a Python package containing mathematical functions for the verification, evaluation and optimisation of forecasts, predictions or models. It primarily supports the geoscience communities; in particular, the meteorological, climatological and oceanographic communities. In addition to supporting the Earth system science communities, it also has wide potential application in machine learning and other domains such as economics. `scores` not only includes common scores (e.g. Mean Absolu…

Czasem ludzie się mnie pytają, dlaczego stabilizuję paczki Pythona w #Gentoo po dwóch tygodniach, zamiast typowych czterech.
Odpowiedź jest prosta: oczekiwać, że testy w paczkach Pythona nadal będą działać cztery tygodnie po wydaniu to trochę dużo.
#Python

Ich hab so ne Idee im Kopf und würde damit ein PythonProjekt gerne starten bzw. damit anfangen PYthon zu erlernen ;D
Also die Idee wäre, das ich ein Programm mit einer kleinen DB, wo ich SerienNr. Key etc. speichern kann, von gekauften Software bzw. auch Abonierendene Software. Aber erstmal nur SerienNr. ;D
Wie müsste ich da anfangen bzw. welche Richtung sollte ich da gehen. Erst die Gui oder soll ich mir erstmal ein Konzept erstellen ? würde das gerne auch im Team machen wollen ;…

Foam: A Python package for forward asteroseismic modelling of gravity modes
Mathias Michielsen
https://arxiv.org/abs/2406.06692 https://

Foam: A Python package for forward asteroseismic modelling of gravity modes
Asteroseismology, the study of stellar pulsations, offers insights into the internal structures and evolution of stars. Analysing the variations in a star's brightness allows the determination of fundamental properties such as mass, radius, age, and chemical composition. Asteroseismology heavily relies on computational tools, but a significant number of them are closed-source, thus inaccessible to the broader astronomic community. This manuscript presents Foam, a Python package designed to perf…

Computing the Frequency Response of Biochemical Networks: A Python module
Herbert M Sauro
https://arxiv.org/abs/2406.11140 https://ar…

Computing the Frequency Response of Biochemical Networks: A Python module
In this paper, a set of Python methods is described that can be used to compute the frequency response of an arbitrary biochemical network given any input and output. Models can be provided in standard SBML or Antimony format. The code takes into account any conserved moieties so that this software can be used to also study signaling networks where moiety cycles are common. A utility method is also provided to make it easy to plot standard Bode plots from the generated results. The code also ta…

Severe Thunderstorm Watch here in Charleston, SC, which means it's time to breakout the NWS program...now using `webfsd` to serve the generated images. I am skipping a few types of events, but it's nice to have a real-time thread of watches/warnings as they come in. #weather #python

Ćwiczenie na dziś: ile paczek #Gentoo uda się sportować do Pythona 3.13 w czasie, który potrzeba na zbudowaniu paczek binarnych dla nowych jąder.
Następne w kolejce jest ćwiczenie trudnego `git rebase`.
#Python

Sometimes people ask me why I stabilize #Gentoo #Python packages after 2 weeks, rather than following the usual standard of 4 weeks.
The answer is simple: expecting tests in these packages to still pass whole 4 weeks after the release is a bit much.

This https://arxiv.org/abs/2311.12709 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

LBR-Stack: ROS 2 and Python Integration of KUKA FRI for Med and IIWA Robots
The LBR-Stack is a collection of packages that simplify the usage and extend the capabilities of KUKA's Fast Robot Interface (FRI). It is designed for mission critical hard real-time applications. Supported are the KUKA LBR Med 7/14 and KUKA LBR IIWA 7/14 robots in the Gazebo simulation and for communication with real hardware.

PyGWalker: On-the-fly Assistant for Exploratory Visual Data Analysis
Yue Yu, Leixian Shen, Fei Long, Huamin Qu, Hao Chen
https://arxiv.org/abs/2406.11637 h…

PyGWalker: On-the-fly Assistant for Exploratory Visual Data Analysis
Exploratory visual data analysis tools empower data analysts to efficiently and intuitively explore data insights throughout the entire analysis cycle. However, the gap between common programmatic analysis (e.g., within computational notebooks) and exploratory visual analysis leads to a disjointed and inefficient data analysis experience. To bridge this gap, we developed PyGWalker, a Python library that offers on-the-fly assistance for exploratory visual data analysis. It features a lightweight…

Beyond the Hype: A Cautionary Tale of ChatGPT in the Programming Classroom
Grant Oosterwyk, Pitso Tsibolane, Popyeni Kautondokwa, Ammar Canani
https://arxiv.org/abs/2406.11104

Beyond the Hype: A Cautionary Tale of ChatGPT in the Programming Classroom
Due to the proliferation of Large Language Models research and the use of various Artificial Intelligence (AI) tools, the field of information systems (IS) and computer science (CS) has evolved. The use of tools such as ChatGPT to complete various student programming exercises (e.g., in Python) and assignments has gained prominence amongst various academic institutions. However, recent literature has suggested that the use of ChatGPT in academia is problematic and the impact on teaching and lea…

#Polyglot Programming with #WebAssembly: A Practical Approach
https://www.infoq.com/articles/webassembly<…

Ich hab so ne Idee im Kopf und würde damit ein PythonProjekt gerne starten bzw. damit anfangen PYthon zu erlernen ;D
Also die Idee wäre, das ich ein Programm mit einer kleinen DB, wo ich SerienNr. Key etc. speichern kann, von gekauften Software bzw. auch Abonierendene Software. Aber erstmal nur SerienNr. ;D
Wie müsste ich da anfangen bzw. welche Richtung sollte ich da gehen. Erst die Gui oder soll ich mir erstmal ein Konzept erstellen ? würde das gerne auch im Team machen wollen ;…

This https://arxiv.org/abs/2406.04995 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDB_…

Data2Neo -- A Tool for Complex Neo4j Data Integration
This paper introduces Data2Neo, an open-source Python library for converting relational data into knowledge graphs stored in Neo4j databases. With extensive customization options and support for continuous online data integration from various data sources, Data2Neo is designed to be user-friendly, efficient, and scalable to large datasets. The tool significantly lowers the barrier to entry for creating and using knowledge graphs, making this increasingly popular form of data representation acce…

Today's exercise: checking how many #Gentoo packages can be ported to #Python 3.13, while new kernel binary packages are building.
Then I'm going to have a hard exercise in rebasing.

This https://arxiv.org/abs/2305.03015 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hepp…

anyH3: precise predictions for the trilinear Higgs coupling in the Standard Model and beyond
The trilinear Higgs coupling $λ_{hhh}$ of the detected Higgs boson is an important probe for physics beyond the Standard Model. Correspondingly, improving the precision of the theoretical predictions for this coupling as well as the experimental constraints on it are among the main goals of particle physics in the near future. In this article, we present the public $\mathtt{Python}$ code $\mathtt{anyH3}$, which provides precise theoretical predictions for $λ_{hhh}$. The program can easily be …

Po kolejnej rundzie portów do Pythona 3.13 w #Gentoo, przychodzi mi do głowy ten mem z wielką, zatłoczoną autostradą, tyle że z komentarz:
Tylko jeszcze jeden microframework! Obiecuję wam, jeszcze jeden microframework i wszystkie problemy zostaną rozwiązane!
#Python

Hrmm, this might be a slight issue...pretty sure the map shouldn't be "generic white box"... #python

This https://arxiv.org/abs/2406.07200 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qfi…

A Multi-step Approach for Minimizing Risk in Decentralized Exchanges
Decentralized Exchanges are becoming even more predominant in today's finance. Driven by the need to study this phenomenon from an academic perspective, the SIAG/FME Code Quest 2023 was announced. Specifically, participating teams were asked to implement, in Python, the basic functions of an Automated Market Maker and a liquidity provision strategy in an Automated Market Maker to minimize the Conditional Value at Risk, a critical measure of investment risk. As the competition's winning team, we…

Enhancing non-Perl bioinformatic applications with Perl: Building novel, component based applications using Object Orientation, PDL, Alien, FFI, Inline and OpenMP
Christos Argyropoulos
https://arxiv.org/abs/2406.10271

Enhancing non-Perl bioinformatic applications with Perl: Building novel, component based applications using Object Orientation, PDL, Alien, FFI, Inline and OpenMP
Component-Based Software Engineering (CBSE) is a methodology that assembles pre-existing, re-usable software components into new applications, which is particularly relevant for fast moving, data-intensive fields such as bioinformatics. While Perl was used extensively in this field until a decade ago, more recent applications opt for a Bioconductor/R or Python. This trend represents a significantly missed opportunity for the rapid generation of novel bioinformatic applications out of pre-existi…

Today's exercise: checking how many #Gentoo packages can be ported to #Python 3.13, while new kernel binary packages are building.
Then I'm going to have a hard exercise in rebasing.

Went ahead and posted the code for the NWS weather stuff to GitHub for ya @… however I'm not vouching for its quality. #python #programming

After another round of #Python 3.13 porting in #Gentoo, I'm imagining that huge crowded highway meme, except it's saying:
Just one more microframework! I promise you, one more microframework and all problems will be solved!

This https://arxiv.org/abs/2406.06718 has been replaced.
initial toot: https://mastoxiv.page/@a…

TORAX: A Fast and Differentiable Tokamak Transport Simulator in JAX
We present TORAX, a new, open-source, differentiable tokamak core transport simulator implemented in Python using the JAX framework. TORAX solves the coupled equations for ion heat transport, electron heat transport, particle transport, and current diffusion, incorporating modular physics-based and ML models. JAX's just-in-time compilation ensures fast runtimes, while its automatic differentiation capability enables gradient-based optimization workflows and simplifies the use of Jacobian-based …

Alright, time to see if all the changes worked. Of course, to test it I'll need nature to provide some severe storms which seems kinda wrong... #python #weather

Python-based DSL for generating Verilog model of Synchronous Digital Circuits
Mandar Datar (Indian Institute of Technology Bombay), Dhruva S. Hegde (Indian Institute of Technology Bombay), Vendra Durga Prasad (Indian Institute of Technology Bombay), Manish Prajapati (Indian Institute of Technology Bombay), Neralla Manikanta (Indian Institute of Technology Bombay), Devansh Gupta (Indian Institute of Technology Bombay), Janampalli Pavanija (Indian Institute of Technology Bombay), Pratyus…

When someone reports a crash bug and the release fixing it only mentions "improving performance".
Well, I guess unaligned writes may degrade performance. Having #RustLang extension crash #Python ain't important after all.
#Gentoo

Ran the NWS updates script overnight, didn't see any errors and the image directory has a ton of images in it which makes me happy. Still have a bit more cleanup to do, but a really good sign. #weather #python

This https://arxiv.org/abs/2406.04995 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDB_…

Data2Neo -- A Tool for Complex Neo4j Data Integration
This paper introduces Data2Neo, an open-source Python library for converting relational data into knowledge graphs stored in Neo4j databases. With extensive customization options and support for continuous online data integration from various data sources, Data2Neo is designed to be user-friendly, efficient, and scalable to large datasets. The tool significantly lowers the barrier to entry for creating and using knowledge graphs, making this increasingly popular form of data representation acce…

HackAnalysis 2: A powerful and hackable recasting tool
Mark D. Goodsell
https://arxiv.org/abs/2406.10042 https://arxiv.org/pdf/2406.1…

HackAnalysis 2: A powerful and hackable recasting tool
This is the manual for the version 2 of HackAnalysis, a powerful, lightweight, versatile and, most importantly, hackable, recasting tool. New features in this version include: compressed event format storage for ultra-fast development; integration of new physics and mathematics routines via RestFrames and Eigen; automatic computation of systematic uncertainties; an interface to ONNX for neural networks; easy implementation of new models via QNUMBERS blocks; a python package for interfacing to p…

Started cleaning up the code a bit and documenting everything before I post it. There are still a few issues, but the app runs solidly enough to process the NWS API messages at a regular interval. #python #weather

Python4Physics: A physics outreach program
Ra\'ul Brice\~no, Ted Rogers
https://arxiv.org/abs/2406.07668 https://arxiv.org/pdf/24…

Python4Physics: A physics outreach program
We describe a summer outreach program developed to cultivate interest in physics in particular and physical sciences more broadly among high school and early college students using small projects in the Python programming language. We discuss the lessons we learned in the hopes that they will be valuable to other physicists in planning their own outreach efforts. We also provide links to resources and materials from the Python4Physics program, which we hope might be useful in other outreach pro…

12 Labours tools for developing Functional Tissue Units
Jagir R. Hussan
https://arxiv.org/abs/2406.10301 https://arxiv.org/pdf/2406.1…

12 Labours tools for developing Functional Tissue Units
A brief introduction of the technical approach to model FTUs as an aggregate of cells, whose state transition dynamics are mathematically represented as port-hamiltonians or Differential Algebraic equations is presented. A python library and browser based tool to enable modellers to compose the FTU graph, specify the cellular equations and the interconnection between the cells at the level of physical quantities they exchange consistent with the technical approach is discussed.

This https://arxiv.org/abs/2406.06764 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

$Classi|Q\rangle$ Towards a Translation Framework To Bridge The Classical-Quantum Programming Gap
Quantum computing, albeit readily available as hardware or emulated on the cloud, is still far from being available in general regarding complex programming paradigms and learning curves. This vision paper introduces $Classi|Q\rangle$, a translation framework idea to bridge Classical and Quantum Computing by translating high-level programming languages, e.g., Python or C++, into a low-level language, e.g., Quantum Assembly. Our idea paper serves as a blueprint for ongoing efforts in quantu…

This https://arxiv.org/abs/2406.04995 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDB_…

Data2Neo -- A Tool for Complex Neo4j Data Integration
This paper introduces Data2Neo, an open-source Python library for converting relational data into knowledge graphs stored in Neo4j databases. With extensive customization options and support for continuous online data integration from various data sources, Data2Neo is designed to be user-friendly, efficient, and scalable to large datasets. The tool significantly lowers the barrier to entry for creating and using knowledge graphs, making this increasingly popular form of data representation acce…

MARTINI: Mock Array Radio Telescope Interferometry of the Neutral ISM
Kyle A. Oman (Durham ICC)
https://arxiv.org/abs/2406.05574 https://

MARTINI: Mock Array Radio Telescope Interferometry of the Neutral ISM
MARTINI is a modular Python package that takes smoothed-particle hydrodynamics (SPH) simulations of galaxies as input and creates synthetic spatially- and/or spectrally-resolved observations of the 21-cm radio emission line of atomic hydrogen (data cubes). The various aspects of the mock-observing process are divided logically into sub-modules handling the data cube, source galaxy, telescope beam pattern, noise, spectral model and SPH kernel. MARTINI is object-oriented: each sub-module provides…

TORAX: A Fast and Differentiable Tokamak Transport Simulator in JAX
Jonathan Citrin, Ian Goodfellow, Akhil Raju, Jeremy Chen, Jonas Degrave, Craig Donner, Federico Felici, Philippe Hamel, Andrea Huber, Dmitry Nikulin, David Pfau, Brendan Tracey, Martin Riedmiller, Pushmeet Kohli
https://arxiv.org/abs/2406.06718

TORAX: A Fast and Differentiable Tokamak Transport Simulator in JAX
We present TORAX, a new, open-source, differentiable tokamak core transport simulator implemented in Python using the JAX framework. TORAX solves the coupled equations for ion heat transport, electron heat transport, particle transport, and current diffusion, incorporating modular physics-based and ML models. JAX's just-in-time compilation ensures fast runtimes, while its automatic differentiation capability enables gradient-based optimization workflows and simplifies the use of Jacobian-based …

This https://arxiv.org/abs/2406.06764 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

$Classi|Q\rangle$ Towards a Translation Framework To Bridge The Classical-Quantum Programming Gap
Quantum computing, albeit readily available as hardware or emulated on the cloud, is still far from being available in general regarding complex programming paradigms and learning curves. This vision paper introduces $Classi|Q\rangle$, a translation framework idea to bridge Classical and Quantum Computing by translating high-level programming languages, e.g., Python or C++, into a low-level language, e.g., Quantum Assembly. Our idea paper serves as a blueprint for ongoing efforts in quantu…

This https://arxiv.org/abs/2303.16146 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDB_…

Dias: Dynamic Rewriting of Pandas Code
In recent years, dataframe libraries, such as pandas have exploded in popularity. Due to their flexibility, they are increasingly used in ad-hoc exploratory data analysis (EDA) workloads. These workloads are diverse, including custom functions which can span libraries or be written in pure Python. The majority of systems available to accelerate EDA workloads focus on bulk-parallel workloads, which contain vastly different computational patterns, typically within a single library. As a result, t…

What do we know about Hugging Face? A systematic literature review and quantitative validation of qualitative claims
Jason Jones, Wenxin Jiang, Nicholas Synovic, George K. Thiruvathukal, James C. Davis
https://arxiv.org/abs/2406.08205

What do we know about Hugging Face? A systematic literature review and quantitative validation of qualitative claims
Background: Collaborative Software Package Registries (SPRs) are an integral part of the software supply chain. Much engineering work synthesizes SPR package into applications. Prior research has examined SPRs for traditional software, such as NPM (JavaScript) and PyPI (Python). Pre-Trained Model (PTM) Registries are an emerging class of SPR of increasing importance, because they support the deep learning supply chain. Aims: Recent empirical research has examined PTM registries in ways such a…

TORAX: A Fast and Differentiable Tokamak Transport Simulator in JAX
Jonathan Citrin, Ian Goodfellow, Akhil Raju, Jeremy Chen, Jonas Degrave, Craig Donner, Federico Felici, Philippe Hamel, Andrea Huber, Dmitry Nikulin, David Pfau, Brendan Tracey, Martin Riedmiller, Pushmeet Kohli
https://arxiv.org/abs/2406.06718

TORAX: A Fast and Differentiable Tokamak Transport Simulator in JAX
We present TORAX, a new, open-source, differentiable tokamak core transport simulator implemented in Python using the JAX framework. TORAX solves the coupled equations for ion heat transport, electron heat transport, particle transport, and current diffusion, incorporating modular physics-based and ML models. JAX's just-in-time compilation ensures fast runtimes, while its automatic differentiation capability enables gradient-based optimization workflows and simplifies the use of Jacobian-based …

This https://arxiv.org/abs/2406.04537 has been replaced.
initial toot: https://mastoxiv.page/@ar…

HTESP (High-throughput electronic structure package): a Package for the high-throughput $ab$ $initio$ calculations
We introduce HTESP (High-Throughput Electronic Structure Package), an automated tool designed for high-throughput $ab$ $initio$ calculations. HTESP simplifies the entire workflow, including data extraction, input files generation, calculation submission, result collection, and plotting. The package is implemented in Python and Bash languages. In this paper, we provide detailed information about the package, its installation process and some illustrative examples to demonstrate its usage. Additi…

This https://arxiv.org/abs/2301.04419 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

Static Analysis Driven Enhancements for Comprehension in Machine Learning Notebooks
Jupyter notebooks enable developers to interleave code snippets with rich-text and in-line visualizations. Data scientists use Jupyter notebook as the de-facto standard for creating and sharing machine-learning based solutions, primarily written in Python. Recent studies have demonstrated, however, that a large portion of Jupyter notebooks available on public platforms are undocumented and lacks a narrative structure. This reduces the readability of these notebooks. To address this shortcoming,…

This https://arxiv.org/abs/2312.11122 has been replaced.
link: https://scholar.google.com/scholar?q=a

Evaluation of Dataframe Libraries for Data Preparation on a Single Machine
Data preparation is a trial-and-error process that typically involves countless iterations over the data to define the best pipeline of operators for a given task. With tabular data, practitioners often perform that burdensome activity on local machines by writing ad hoc scripts with libraries based on the Pandas dataframe API and testing them on samples of the entire dataset--the faster the library, the less idle time its users have. In this paper, we evaluate the most popular Python dataframe…

This https://arxiv.org/abs/2402.07844 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

Mercury: A Code Efficiency Benchmark for LLM Code Synthesis
Amidst the recent strides in evaluating Large Language Models for Code (Code LLMs), existing benchmarks have mainly focused on the functional correctness of generated code, neglecting the importance of their computational efficiency. To fill the gap, we present Mercury, the first code efficiency benchmark for Code LLMs. It comprises 1,889 Python tasks, each accompanied by adequate solutions that serve as real-world efficiency baselines, enabling a comprehensive analysis of the runtime distribut…

$Classi|Q\rangle$ Towards a Translation Framework To Bridge The Classical-Quantum Programming Gap
Matteo Esposito, Maryam Tavassoli Sabzevari, Boshuai Ye, Davide Falessi, Arif Ali Khan, Davide Taibi
https://arxiv.org/abs/2406.06764

$Classi|Q\rangle$ Towards a Translation Framework To Bridge The Classical-Quantum Programming Gap
Quantum computing, albeit readily available as hardware or emulated on the cloud, is still far from being available in general regarding complex programming paradigms and learning curves. This vision paper introduces $Classi|Q\rangle$, a translation framework idea to bridge Classical and Quantum Computing by translating high-level programming languages, e.g., Python or C++, into a low-level language, e.g., Quantum Assembly. Our idea paper serves as a blueprint for ongoing efforts in quantu…

So I'm bumping a package and the test suite fails with suspicious timestamp-related failures. So I do the obvious thing, and set TZ=UTC. It still fails. I do a quick math, and the timestamp difference looks weird — 8 hours.
I clone the repo to try to reproduce the problem. While that, I check how upstream runs tests and notice a comment:
# system should be in "America/Los_Angeles" timezone for all tests to pass
Well, okay. Then I make a bet that kloczek has already filed a bug about tests passing without actually bothering to try to figure it out. Of course he did:
#Python #Gentoo #PLD