hanool

// ~/.config/opencode/plugins/notification.ts
import type { Plugin } from '@opencode-ai/plugin'

export const NotificationPlugin: Plugin = async ({ project, client, $ }) => {
  const notify = async () => {
    await $`printf '\a'`
  }

  return {
    event: async ({ event }) => {

hanool

FROM skylyrac/blocksds:slim-latest

RUN apt update && apt install -y \
    build-essential \
    cmake \
    gcc-arm-none-eabi \
    git \
    python3

ENV DLDITOOL=/opt/wonderful/thirdparty/blocksds/core/tools/dlditool/dlditool

hanool

"""
The most atomic way to train and run inference for a GPT in pure, dependency-free Python.
This file is the complete algorithm.
Everything else is just efficiency.

@karpathy
"""

import os       # os.path.exists
import math     # math.log, math.exp

hanool

/**
 * @param {number[]} nums ascending sorted array of int
 * @return {number[]}
 */
var sortedSquares = function (nums) {
  var squaredNums = nums.map(function (val) {
    return val * val;
  });

  var leftToRight = 0;