Latin BlackHacked

Without either MONGO_INITDB_ROOT_USERNAME, or MONGO_INITDB_ROOT_PASSWORD the access is unrestricted.

docker-compose.yml:

version: '3'

services:
  mongo:
    image: mongo

镜像构建

FROM scratch
ADD openwrtmix-n1-R20.2.15-rootfs.tar.gz /
RUN mkdir /var/lock
USER root
CMD /sbin/init

食用方法

編輯 %UserProfile%\.wslconfig 檔案
- Command Prompt
```
notepad %UserProfile%\.wslconfig
```
- Windows PowerShell

使用ffmpeg合并MP4文件

ffmpeg -i "Apache Sqoop Tutorial Part 1.mp4" -c copy -bsf:v h264_mp4toannexb -f mpegts intermediate1.ts
ffmpeg -i "Apache Sqoop Tutorial Part 2.mp4" -c copy -bsf:v h264_mp4toannexb -f mpegts intermediate2.ts
ffmpeg -i "Apache Sqoop Tutorial Part 3.mp4" -c copy -bsf:v h264_mp4toannexb -f mpegts intermediate3.ts
ffmpeg -i "Apache Sqoop Tutorial Part 4.mp4" -c copy -bsf:v h264_mp4toannexb -f mpegts intermediate4.ts
ffmpeg -i "concat:intermediate1.ts|intermediate2.ts|intermediate3.ts|intermediate4.ts" -c copy -bsf:a aac_adtstoasc "Apache Sqoop Tutorial.mp4"

This is a simple example of how to use loguru in your flask application

Just create a new InterceptHandler and add it to your app. Different settings should be configured in your config file, so that it is easy to change settings.

Logging is then as easy as:

from loguru import logger

logger.info("I am logging from loguru!")

	# --------------------------------------------------------
	# Camera sample code for Tegra X2/X1
	#
	# This program could capture and display video from
	# IP CAM, USB webcam, or the Tegra onboard camera.
	# Refer to the following blog post for how to set up
	# and run the code:
	# https://jkjung-avt.github.io/tx2-camera-with-python/
	#
	# Written by JK Jung <[email protected]>

	{url:'stun:stun01.sipphone.com'},
	{url:'stun:stun.ekiga.net'},
	{url:'stun:stun.fwdnet.net'},
	{url:'stun:stun.ideasip.com'},
	{url:'stun:stun.iptel.org'},
	{url:'stun:stun.rixtelecom.se'},
	{url:'stun:stun.schlund.de'},
	{url:'stun:stun.l.google.com:19302'},
	{url:'stun:stun1.l.google.com:19302'},
	{url:'stun:stun2.l.google.com:19302'},

	import os

	def read_in_chunks(file_object, chunk_size=1000000):
	while True:
	data = file_object.read(chunk_size)
	if not data:
	break
	yield data

	def main(file):

	from captcha.image import ImageCaptcha # pip install captcha
	import numpy as np
	import matplotlib.pyplot as plt
	from PIL import Image
	import random

	# 验证码中的字符, 就不用汉字了
	number = ['0','1','2','3','4','5','6','7','8','9']
	alphabet = ['a','b','c','d','e','f','g','h','i','j','k','l','m','n','o','p','q','r','s','t','u','v','w','x','y','z']
	ALPHABET = ['A','B','C','D','E','F','G','H','I','J','K','L','M','N','O','P','Q','R','S','T','U','V','W','X','Y','Z']

	###############################################################################
	# Helpful Docker commands and code snippets
	###############################################################################

	### CONTAINERS ###
	docker stop $(docker ps -a -q) #stop ALL containers
	docker rm -f $(docker ps -a -q) # remove ALL containers
	docker rm -f $(sudo docker ps --before="container_id_here" -q) # can also filter

	# exec into container