rgov

import math

import numpy as np


M = 26
dim = 3


# Generate a random encryption matrix. It might turn out to be unusable.

rgov

// Adapted from the Metal Shading Language Specification, Version 3.2, p.186
// The version in the PDF has two errors which are corrected here.

#include <metal_stdlib>

using namespace metal;


kernel void
reduce(const device int *input [[buffer(0)]],

rgov

#!/bin/bash -eu
# remount-circuitpy.sh -- remount a FAT disk, usually CIRCUITPY, so it works
#
# Works around bug where macOS 14.x causes file corruption on small FAT
# filesystems. The remount apparently causes older kernel FAT driver
# to be loaded. see https://github.com/adafruit/circuitpython/issues/8449
#
# Original author: Tod Kurt @todbot

DISKNAME=${1:-CIRCUITPY}

rgov

#!/bin/bash -eu

process_binary() {
    local binary="$1"
    echo "[*] Processing $binary..."

    # Find all linked libraries from the Homebrew prefix
    local libraries=(
        $(otool -L "$binary" | grep '/usr/local/opt/' | awk '{print $1}')
    )

rgov

# Based on https://github.com/flathub/com.nordpass.NordPass by @FakeShemp

# wget https://raw.githubusercontent.com/flathub/com.nordpass.NordPass/e93574f94b4387917fb8d5b0fb725660b2b01817/gcc10.diff
# wget https://raw.githubusercontent.com/flathub/com.nordpass.NordPass/e93574f94b4387917fb8d5b0fb725660b2b01817/xz_support.patch
# flatpak install flathub org.freedesktop.Platform//22.08 org.freedesktop.Sdk//22.08 org.electronjs.Electron2.BaseApp//22.08
# sudo flatpak-builder --install --force-clean build-dir dev.foxglove.Studio.yaml
# flatpak run dev.foxglove.Studio

app-id: dev.foxglove.Studio
base: org.electronjs.Electron2.BaseApp

rgov

#!/bin/bash -eu

LINUX_META_PKG='linux-meta'
LINUX_PKG='linux-image-unsigned-"$KERNEL_ABI_VERSION"-generic'

# Enable apt source repositories
sed -i '/^deb /{n; s/^# deb-src/deb-src/;}' /etc/apt/sources.list
apt update
apt install -y dpkg-dev

rgov

#!/usr/bin/env python3
'''
I asked ChatGPT (GPT-4) to write some Z3 code that tries to generate a string
that roughly matches the letter frequency distribution of normal English text.

It got the implementation _very_ close on the first try. However, Z3 is not able
to make progress on the problem.
'''

from z3 import *

rgov

#!/usr/bin/env python3
'''
This file implements a wrapper API over the Triton Inference Server client API.

The wrapper API makes it easier to work with models that require pre- or post-
processing of their inptus and outputs, like image classification models:

    model = Model(triton, 'feline_breed')
    model.input = ImageInput(scaling=ScalingMode.INCEPTION)
    model.output = ClassificationOutput(classes=1)

rgov

import json
import socket
import struct


def send_obj(s, obj):
    # JSON-encoded object with a length prefix (32-bit, big endian, signed?)
    encoded = json.dumps(obj).encode()
    s.send(struct.pack('!l', len(encoded)) + encoded)

rgov

Only in debootstrap/bin: chvt
Only in debootstrap/bin: cpio
Only in debootstrap/bin: dumpkeys
Only in debootstrap/bin: fgconsole
Only in debootstrap/bin: ip
Only in debootstrap/bin: journalctl
Only in debootstrap/bin: kbd_mode
Only in debootstrap/bin: kmod
Only in debootstrap/bin: less
Only in debootstrap/bin: lessecho