rogeruiz

Let me tell you how easy it is to decompile an Electron app (that's closed source).

Prerequisites

• Node.js (LTS or latest)
• Electron
• asar (for extracting the source code)

Decompilation

First of all, you find the install path of your Electron app. If you found it, find the resources folder. If you found it, you'll have to install asar globally, by running:

rogeruiz

Using Ollama on an Asus Flow Z13 (128GB RAM) and Linux

Environment setup

I used Bazzite Linux because it seems to have the best 395+ CPU support right now. It also installs and uses podman by default. But the following instructions should work on any linux if:

• You have (very) recent AMD kernel drivers installed
• Podman or Docker installed (I think the instructions before should also work with docker if you just change the tool name)
• Go into the BIOS and bump up the amount of RAM given over to the GPU side by default (I used 64GB but you do you)

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Usando Bubble Tea para el Front-End de aplicaciones TUI

¡Disfrute! 💎 ⚡

Mas información sobre Bubble Tea se encuentra aquí.

➡️ https://github.com/charmbracelet/bubbletea

Pille el demo aquí.

rogeruiz

Make Ubuntu packages 90% faster by rebuilding them

TL;DR

You can take the same source code package that Ubuntu uses to build jq, compile it again, and realize 90% better performance.

Setting

I use jq for processing GeoJSON files and other open data offered in JSON format. Today I am working with a 500MB GeoJSON file that contains the Alameda County Assessor's parcel map. I want to run a query that prints the city for every parcel worth more than a threshold amount. The program is

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import Database from 'better-sqlite3';
import { createDatabaseClient } from 'my-partial-db-lib';

// 1) Create an in-memory DB and your table(s).
const db = new Database(':memory:');
db.exec(`
  CREATE TABLE users (
    id TEXT PRIMARY KEY,
    data JSON
  );

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#!/bin/bash

# 1. Find out the number of words in the word file
number_of_words=$(wc -l < ./word-list.txt)

# 2. Pick a random word from the list
pick_random_number=$((1 + RANDOM % number_of_words))

# 3. Pick the line from the word list that is the random number
the_word=$(sed "${pick_random_number}q;d" ./word-list.txt)

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$luna = [char]::ConvertFromUtf32(0x1F31D)
$sol = [char]::ConvertFromUtf32(0x1F31E)
$murcielago = [char]::ConvertFromUtf32(0x1F987)
$nota = [char]::ConvertFromUtf32(0x1F4DD)
$cohete = [char]::ConvertFromUtf32(0x1F680)
$concha = [char]::ConvertFromUtf32(0x1F41A)
$error = [char]::ConvertFromUtf32(0x274C)
$marco = [char]::ConvertFromUtf32(0x1F5BC)
$exito = [char]::ConvertFromUtf32(0x2705)

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#!/bin/bash

generic_prefix='kMRMediaRemoteNowPlayingInfo'
apple_prefix='MRMediaRemoteMediaType'

# Requires Bash 4+ due to associative array usage in this script.
declare -A npc_response=(
  [artist]='null'
  [title]='null'
  [album]='null'

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XDG - Base Directory Specification

Directories

Base

The intended use-case for BaseDirectories is to query the paths of user-invisible standard directories that have been defined according to the conventions of the operating system the library is running on.

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# The definition of color schemes.
schemes:
  gruvbox_material_hard_dark: &gruvbox_material_hard_dark
    primary:
      background: '0x1d2021'
      foreground: '0xd4be98'
    normal:
      black:   '0x32302f'
      red:     '0xea6962'
      green:   '0xa9b665'