Programming

Hi everyone! I’m a student currently working on a research activity for our Software Engineering class, and I’d really appreciate your insights. 😊

I’m looking to gather input from software developers, project managers, or engineers about the Software Development Life Cycle (SDLC) paradigms you've used in your past or current projects.

If you have a few minutes to spare, I’d love to hear your answers to these quick questions:

1. What type of software did you develop? (e.g., mobile app, enterprise system, game, etc.)

2. Which software development paradigm did your team follow? (eg. Prototyping Model, Spiral Model, Fourth Generation Techniques (4GT), Waterfall Model Agile Model, V-Shaped Model, Incremental Model, RAD (Rapid Application Development), Feature Driven Development (FDD), Big Bang Model, Scrum, etc)

3. Why did you choose that particular paradigm? (e.g., client requirement, team familiarity, project scale, etc.)

Your input will be used for academic purposes only, and it would really help me complete this task with real-world insights. Thank you so much in advance!

I'm doing some Galois Field / Cyclic Redundancy Check research for fun and I've come across an intriguing pattern that I need a data structure for.

Across the 64-bit (or even 128-bit or larger) spaces, I've discovered an interesting pattern relating to hamming distances that I'd like a data structure to represent.

I'm going to need something on the order of ~billions of intervals each having somewhere between 1 item to ~1 billion per interval. And I'd like to quickly (O(1) or O(lg(n))) determine if other intervals intersect.

For 32-bit space I can simply make a 512MB Bitmask lol and then AND/OR the two Bitmask. Easy

But for 64-bit space I'm stuck and a bit ignorant to various data structures. I'm wondering if someone out there has a good data structure for me to use?

I've read over Interval Trees on Wikipedia. I'm also considering binary decision diagram over the 64-bits actually. Finally I'm thinking of some kind of 1-dimension octtree like datastructure (is that just a binary tree?? Lol. But BVH trees in 3d space seems similar to my problem it's just I need it optimized down to 1 dimension rather than 3.) Anyone else have any other ideas or cool data structures that might work?

I've read multiple times that CUDA dominates, mostly because NVIDIA dominates. Rocm is the AMD equivalent, but OpenCL also exists. From my understanding, these are technologies used to program graphics cards - always thought that shaders were used for that.

There is a huge gap in my knowledge and understanding about this, so I'd appreciate somebody laying this out for me. I could ask an LLM and be misguided, but I'd rather not 🤣

Anti Commercial-AI license

The Linux foundation announced "neonophos", but Eurostack has been around for a while. Why do these two exist separately and not together?

cross-posted from: https://lemmy.sdf.org/post/31995242

Archived

Unveiling Trae: ByteDance's AI IDE and Its Extensive Data Collection System

Trae - the coding assistant of China's ByteDance - has rapidly emerged as a formidable competitor to established AI coding assistants like Cursor and GitHub Copilot. Its main selling point? It's completely free - offering Claude 3.7 Sonnet and GPT-4o without any subscription fees. Unit 221B's technical analysis, using network traffic interception, binary analysis, and runtime monitoring, has identified a sophisticated telemetry framework that continuously transmits data to multiple ByteDance servers. From a cybersecurity perspective, this represents a complex data collection operation with significant security and privacy implications.

[...]

Key Findings:

• Persistent connections to minimum 5 unique ByteDance domains, creating multiple data transmission vectors
• Continuous telemetry transmission even during idle periods, indicating an always-on monitoring system
• Regular update checks and configuration pulls from ByteDance servers, allowing for dynamic control
• Permanent device identification via machineId parameter, which appears to be derived from hardware identifiers, enabling long-term tracking capabilities
• Local WebSocket channels observed collecting full file content, with portions potentially transmitted to remote servers
• Complex local microservice architecture with redundant pathways for code data, suggesting a deliberate system design
• JWT tokens and authentication data observed in multiple communication channels, presenting potential credential exposure concerns
• Use of binary MessagePack format observed in data transfers, adding complexity to security analysis
• Extensive behavioral tracking mechanisms capable of building detailed user activity profiles
• Sophisticated data segregation across multiple endpoints, consistent with enterprise-grade telemetry systems

[...]

The Push Notification Hub (PNH) service recently went through significant modernization. We migrated from legacy components like .NET Framework 4.7.2 and custom HTTP server called “RestServer”, to .NET 8 and ASP.NET Core 8. Moreover, for handling outgoing requests, we moved from custom HTTP client/handler called “HttpPooler”, to Polly v8 and SocketsHttpHandler. This article describes the journey thus far and its impact on PNH performance.

Sections: Intro (what is PNH), expectations, measurement, migration phases (concrete tech and measurements), closing thoughts, next steps.

PNH is deriving great benefits from .NET 8. Overall performance improved, as evidenced by the Q-Factor metric, by about 70%. Performance is a major factor for a service like this and will reflect positively in basically all flows on Teams platform that got to do with messaging. The results actually exceeded our expectations by significant margin.

cross-posted from: https://lemmy.world/post/27385536

I have a rather large Python script that I use as basically a replacement for autohotkey. It uses pynput for keyboard and mouse control - and at least on Windows, it works exactly how I expect.

I recently started dual-booting with Linux and have been trying to get the script to work here as well. It does work but with mixed results - in particular, I found that pynput has bizarrely wrong output for special characters, in a way that's both consistent and inconsistent.

The simplest possible case I found that reproduces the error is this script:

import time
from pynput import keyboard

# Sleep statement is just to give time to move the mouse cursor to a text input field
time.sleep(2)

my_kb = keyboard.Controller()

text = '🍆' # Eggplant emoji
my_kb.type(text)

time.sleep(1)

text = '𝕥𝕖𝕤𝕥' # blackboard bold test
my_kb.type(text)

time.sleep(1)

text = '𝐭𝐞𝐬𝐭' # bold test
my_kb.type(text)

When I run that script right now, it produces the output "🍆𝕥𝕥𝕤𝕥𝐭𝐭𝐬𝐭". And if I run it again, it'll produce the same output. And if I change the eggplant emoji to something else, like the regular character 'A', it will still produce the same output (specifically "A𝕥𝕥𝕤𝕥𝐭𝐭𝐬𝐭"). But... If I log out and log back in, then the output changes to something else that's still wrong, but differently. For example, when I changed the eggplant to a regular 'A', then relogged, the output became "A𝕥𝕖𝕖𝕥𝐭𝐞𝐞𝐭". And then that wrong output will keep being the same wrong output until I log out and back in again. If the test strings don't change, then the incorrect outputs don't change on relog - but if they do, then they do.

In the larger script, errors seemed to chain together somehow - like if I produced an eggplant emoji, then tried to write blackboard bold test, I would get "🍆𝕖𝕤🍆". This is despite verifying just before running the pynput.keyboard.Controller.type function that what it was about to type was correct. The issue also happens if I type it character-by-character with press and release functions.

I am very new to Linux. I'm on Linux Mint. I'm running this in a python3 venv that just has pynput and two other external libraries installed. ChatGPT thinks the issue might be related to X11. The issue does not occur at all on Windows, using the exact same code. On Linux there seems to be no issues with typing regular text, just special characters.

Short version of the situation is that I have an old site I frequent for user written stories. The site is ancient (think early 2000's), and has terrible tools for sorting and searching the stories. Half of the time, stories disappear from author profiles. Thousands of stories and you can only sort by top, new, and 30-day top.

I'm in the process of programming a scraper tool so I can archive the stories and give myself a library to better find forgotten stories on the site. I'll be storing tags, dates, authors, etc, as well as the full body of the text.

Concerning the data, there are a few thousand stories- ascii only, and various data points for each story with the body of many stores reaching several pages long.

Currently, I'm using Python to compile the data and would like to know what storage solution is ideal for my situation. I have a little familiarity with SQL, json, and yaml, but not enough to know what might be best. I am also open to any other solutions that work well with Python.

Examples of what I mean by modding:

• minecraft mods: add some jar file into your mod folder
• skyrim mods: add some .esp file into your mod folder
• luanti: put some folder with .lua files and config into your .minetest/mods folder

Mods are basically "turing-complete" and can add different types of computation to your application, while integrating with the (GUI) system.

How to design a program that allow for modding?

With interpreted programming languages like python or lua, you can load code as strings at runtime … but is it done that way for these languages (that would be really bad for security)?

eval("print('mod loading ...')")

So roughly how I imagine modding in python to work, a demo in the python repl …

>>> items = {}
>>> newmod = """
... {"name": "holy-mod-sword", "value": 10, "do-damage": lambda x: x.firedamage(1000)}
... """
# loading the mod
>>> items["holy-mod-sword"] = eval(newmod)
>>> items
{'holy-mod-sword': {'name': 'holy-mod-sword', 'value': 10, 'do-damage': <function <lambda> at 0x7f8c710a9d00>}}

is it done that way or similar?

Where can you view package details like dependencies and package size on PyPI like on npm?

For example, when I look at React's page on npm, I can see that it has 0 dependencies and an unpacked size of 237kB.

On the other hand, when I visit Flask's page on PyPI, I can't seem to find it's dependencies even after clicking on project details.

In a project, I've successfully compiled multiple shaders, but at the last fragment shader it just decides to revert back to 110 for no real reason (it's vertex pair just compiled fine), then fails to compile due to me using some 330-related features.

Yes, I requested 3.30 core profile before you ask.

• https://opentofu.org/
• https://github.com/opentofu/opentofu

Ive used this pattern in quite a few MV(C/P) frameworks. Works well as long as the models dont get huge.