jftuga

* https://github.com/jftuga/deidentification

* https://pypi.org/project/text-deidentification/

https://github.com/jftuga/chars

"I have to imagine this is because nobody in the Python community knew enough Rust to fix it. Had the native portion of Pendulum been written in C I would have fixed it myself."

It displays basic computer info including user name, computer name, OS, model, serial number (service tag), CPU model, memory, IPv4 address and uptime.

https://github.com/jftuga/compinfo

"I’ve already started spreading the word about the spreadsheet, it’s a great resource."

When this came to light, Rober apologized for not properly vetting all the footage and explained that 2 reaction shots had been staged without his knowledge. His later glitter bomb videos included more rigorous documentation and transparency.

https://github.com/jftuga/chars

https://bandysc.github.io/AvaloniaVisualBasic6/

Key information

    Current M4 chips offer 4-12 CPU P cores.

    M4 P cores are arranged in clusters of up to 6, sharing L2 cache and running at a common frequency.

    P core clusters can be shut down, idling at their minimum frequency of 1,260 MHz, or at one of 18 set frequencies up to a maximum of 4,512 MHz, as controlled by macOS.

    Their instruction set is “technically” ARMv9.2-A, but without its Scalable Vector Extension (SVE).

    They use 1-2 mW when idle, rising to peaks of 1,400 mW (floating point) or 3,230 mW (NEON vector code).

    macOS preferentially allocates them threads at all QoS higher than 9 (Background).

    Threads running on M4 P cores are mobile, and may be moved to another core in the same cluster frequently, and after just over a second may be transferred to a core in the other P cluster, when available.

    Thread mobility makes interpretation of the CPU History window in Activity Monitor very difficult.

This shows an example of what can happen when you perform a basic resizing of faces. You will notice the distortion when this library is not used. When I had to resize 40,0000 photos, I noticed better visual outcomes when using this library for my testing set of photos.

I wrote this: https://github.com/jftuga/photo_id_resizer

    This program is used to resize large photo ID images. When image resizing occurs, a content aware image resizing library is used with its face detection algorithm to avoid face deformation.

    sips -s format png photo.HEIC --out photo.png

    sips -z 300 600 original.jpg --out new.jpg

    function batt-info() {
        echo
        system_profiler SPPowerDataType | grep Wattage | cut -c 7-
        echo
        pmset -g batt
    }

"Ubuntu developer Simon Quigley laid out the plans for hoping Ubuntu packages will move from Qt 5 to Qt 6 so that by the time of the Ubuntu 26.04 LTS cycle in early 2026 that the older version of this graphical toolkit can be removed."

My Windows computer is an i7-7700 series which is not compatible with Win 11 w/o hacks. I will probably convert that into a nice Linux or Proxmox system since it has 32 GB ram. I'll eventually buy a system (on sale) that ships with Win 11 Pro.

Otherwise, I use Firefox + uBlock Origin + Privacy Badger and also have redundant PiHole servers.

https://github.com/jftuga/chars

Stand-alone binaries are provided for all major platforms.

https://github.com/jftuga/DateTimeMate

Golang package and CLI to compute the difference between date, time or duration

Here is a more detailed announcement:

https://news.ycombinator.com/item?id=41058826