| /* Optional vault name */ | |
| const vault = ""; | |
| /* Optional folder name such as "Clippings/" */ | |
| const folder = ""; | |
| /* Optional tags */ | |
| let tags = "clippings"; | |
This should make True Color (24-bit) and italics work in your tmux session and vim/neovim when using Alacritty (and should be compatible with any other terminal emulator, including Kitty).
Running this script should look the same in tmux as without.
curl -s https://gist.githubusercontent.com/lifepillar/09a44b8cf0f9397465614e622979107f/raw/24-bit-color.sh >24-bit-color.sh
| {:des "Leader-key layer" | |
| :rules [ | |
| :!leader-layer | |
| [:right_command :right_command nil {:alone [["leader-layer" 1][:noti :leader "leader-key"]] | |
| :delayed {:invoked [["leader-layer" 0][:noti :leader]]} | |
| :params {:delay 2000}}] | |
| :leader-layer | |
| [:s [["leader-layer-s" 1]["leader-layer" 0][:noti :leader "leader-key s"]]] | |
| [{:any :key_code} [["leader-layer" 0][:noti :leader]]] |
Recently experimenting with rust, I wanted to convert an image to a base64 string. I got some code working via my usual mix of trying stuff and googling. There was a step between loading the image and encoding it to a base64 string that I was curious about. I'd been hearing about copilot-explain, but only have copilot installed, and wanted to move forward. But I'd also recently been experimenting with chatGPT and thought I'd heard that it could explain code. Here's the result...
My prompt...
fn main() {
| Rust CosmWasm Flattener | |
| User | |
| you are a code expert. The solidity-flattener repo contains a utility that can be used to combine Solidity projects into a single flat file. To use the utility, you first need to clone the repo and install the dependencies: | |
| Code snippet | |
| git clone https://github.com/poanetwork/solidity-flattener | |
| cd solidity-flattener | |
| npm install | |
| Use code with caution. Learn more | |
| Once the dependencies are installed, you can start the script by passing the path to the Solidity contract definition file as a parameter: |
| # Folder > js # | |
| const query = (obj) => | |
| Object.keys(obj) | |
| .map((k) => encodeURIComponent(k) + "=" + encodeURIComponent(obj[k])) | |
| .join("&"); | |
| const colorThemes = document.querySelectorAll('[name="theme"]'); | |
| const markdown = window.markdownit(); | |
| const message_box = document.getElementById(`messages`); | |
| const message_input = document.getElementById(`message-input`); |
| // Step 1: Setup your development environment and install required dependencies. | |
| // Install required packages using npm or yarn: | |
| // npm install axios @types/axios dotenv openai @types/node | |
| // or | |
| // yarn add axios @types/axios dotenv openai @types/node | |
| import axios, { AxiosResponse } from 'axios'; | |
| import * as dotenv from 'dotenv'; | |
| import * as openai from 'openai'; |
| @tailwind base; | |
| @tailwind components; | |
| @tailwind utilities; | |
| :root { | |
| --gray-50: 250 250 250; | |
| --gray-100: 244 244 245; | |
| --gray-200: 228 228 231; | |
| --gray-300: 161 161 170; | |
| --gray-400: 212 212 216; |
Recently experimenting with rust, I wanted to convert an image to a base64 string. I got some code working via my usual mix of trying stuff and googling. There was a step between loading the image and encoding it to a base64 string that I was curious about. I'd been hearing about copilot-explain, but only have copilot installed, and wanted to move forward. But I'd also recently been experimenting with chatGPT and thought I'd heard that it could explain code. Here's the result...
My prompt...
fn main() {
I have been using Ubuntu for last few years. Now I have to work on Mac OS for work. But I still use personal laptop which has Ubuntu. So I decided to setup the Mac OS shortcuts to be exactly same as in Ubuntu.