thangtv611

Create a SwiftUI Habit Tracker app using SwiftData with the following features:

1. Data Model:

   • Habit: name, color, creation date, target frequency (daily/weekly)
   • HabitLog: date completed, relationship to Habit
   • Use SwiftData for persistence

2. Main Features:

   • List view showing all habits with completion status for today

• Ability to mark habits as complete/incomplete for today

thangtv611

Create a SwiftUI Personal Finance Tracker app using SwiftData with the following features:

1. Data Models:

   • Category: name, color, monthly budget amount, icon (SF Symbol name)
   • Transaction: amount, date, note, relationship to Category
   • Use SwiftData for persistence with proper relationships

2. Main Dashboard:

   • List of categories showing: name, icon, color

• For each category: amount spent this month vs budget

thangtv611

tell application "System Events"
	set allApps to every application process whose visible is true
	
	repeat with appProc in allApps
		try
			repeat with w in (every window of appProc)
				try
					set {xPos, yPos} to position of w
					
					if xPos < 0 or yPos < 0 then

thangtv611

version: '3.8'

services:
  zookeeper:
    image: confluentinc/cp-zookeeper:6.1.1
    container_name: zookeeper
    restart: unless-stopped
    ports:
      - "2181:2181"
    environment:

thangtv611

{
  "editor.suggest.insertMode": "replace",
  "terminal.integrated.fontFamily": "Menlo",
  "editor.linkedEditing": true,
  "javascript.updateImportsOnFileMove.enabled": "always",
  "launch": {},
  "[json]": {},
  "editor.minimap.enabled": false,
  "update.showReleaseNotes": false,
  "zenMode.hideLineNumbers": false,

thangtv611

VS Code: Debugging Jest

Sometimes, debugging with console.log is not enough to find out what is happening in the code, as console.log prints only plain objects but neither functions nor objects with circular references. Besides, it's possible you may need to know the context and flow of the code.

Read more about debugging with VS Code in VS Code: Debugging.

thangtv611

sudo apt-get install stress-ng
stress-ng --cpu 4 --vm 2 --fork 8 --switch 4 --timeout 1m
##stress-ng: info:  [32254] dispatching hogs: 4 cpu, 8 fork, 4 switch, 2 vm
##stress-ng: info:  [32254] cache allocate: default cache size: 8192K

thangtv611

Typing vagrant from the command line will display a list of all available commands.

Be sure that you are in the same directory as the Vagrantfile when running these commands!

Creating a VM

• vagrant init -- Initialize Vagrant with a Vagrantfile and ./.vagrant directory, using no specified base image. Before you can do vagrant up, you'll need to specify a base image in the Vagrantfile.
• vagrant init <boxpath> -- Initialize Vagrant with a specific box. To find a box, go to the public Vagrant box catalog. When you find one you like, just replace it's name with boxpath. For example, vagrant init ubuntu/trusty64.

Starting a VM

• vagrant up -- starts vagrant environment (also provisions only on the FIRST vagrant up)

thangtv611

curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.34.0/install.sh | bash
source ~/.nvm/nvm.sh
nvm install --lts

thangtv611

Config Telegrambot for grafana's alerts.

1. Create bot

Open Telegram and search for @BotFather user and message them the following:

You
/newbot 

BotFather