day253 day253

Docker Hub 镜像加速器

国内从 Docker Hub 拉取镜像有时会遇到困难，此时可以配置镜像加速器。

Dockerized 实践 https://github.com/y0ngb1n/dockerized

1️⃣ Docker daemon 配置代理（推荐）

How to automatically start ssh server on boot on Windows Subsystem for Linux

Microsoft partnered with Canonical to create Bash on Ubuntu on Windows, running through a technology called the Windows Subsystem for Linux. Below are instructions on how to set up the ssh server to run automatically at boot.

Edit the /etc/ssh/sshd_config file by running the command sudo vi /etc/ssh/sshd_config and do the following
1. Change Port to 2222 (or any other port above 1000)
2. Change PasswordAuthentication to yes. This can be changed back to no if ssh keys are setup.
Restart the ssh server:
- sudo service ssh --full-restart
With this setup, the ssh server must be turned on every time you run Bash on Ubuntu on Windows, as by default it is off. Use this command to turn it on:

	"""
	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

	;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
	;;
	;; 作者: 李继刚
	;; 日期: 2025-11-12
	;; 剑名: 圆桌讨论
	;; 剑意: 构建一个以“求真”为目标的结构化对话框架。该框架由一位极具洞察力的主持人
	;; 进行引导，邀请代表不同思想的“典型代表人物”进行一场高强度的、即时响应式的
	;; 深度对话。主持人将在每轮总结时生成视觉化的思考框架(ASCII Chart)，通过
	;; “主动质询” 与“协同共建”，对用户提出的议题进行协同探索，最终生成深刻的、
	;; 结构化的知识网络。

	"""
	The most atomic way to train and inference 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

	#!/bin/bash

	set -euo pipefail

	# Directory setup
	APP_DIR="${HOME}/Applications"
	ICON_DIR="${HOME}/.local/share/icons"
	DESKTOP_DIR="${HOME}/.local/share/applications"
	BIN_DIR="${HOME}/.local/bin"

	#!/bin/bash

	mkdir -p out

	for img in `grep image $1\| sed -e 's/^.*image\: //g'`;
	do
	cleanname=${img/\//-}
	tag=`docker images \| grep $img \| awk '{print $2}'`
	echo "Exporting image: $img, tag:$tag ($cleanname)..."
	docker save $img -o out/$cleanname.tar

	cmake_minimum_required(VERSION 3.4.3)

	project(sample CXX)

	find_package(InferenceEngine REQUIRED)

	add_executable(${CMAKE_PROJECT_NAME} main.cpp)
	target_compile_features(${CMAKE_PROJECT_NAME} PRIVATE cxx_range_for)

	target_link_libraries(${CMAKE_PROJECT_NAME}

	#健康检查周期, 单位：s
	healthy_check_time: 10

	#bns同步周期, 单位:s
	bns_syn_time: 15

	#配置每个物理分库的信息

	#f1统一存储，包括所有db
	[@service]

	#pragma once
	#include <queue>
	#include <mutex>
	#include <condition_variable>

	template<typename T>
	class LockingQueue
	{
	public:
	void push(T const& _data)