maple maple3142

Office Deployment Tool

setup.exe /configure configuration.xml

	const rotate = ar => ar[0].map((col, i) => ar.map(row => row[i]))

	const check = board => {
	const board2 = rotate(board)
	const row_ok = board.every(row => new Set(row).size === row.length)
	const col_ok = board2.every(row => new Set(row).size === row.length)
	const block_ok = (() => {
	for (let i = 0; i < 3; i++) {
	for (let j = 0; j < 3; j++) {
	const s = new Set()

	# https://blog.gtwang.org/statistics/tensorflow-google-machine-learning-software-library-tutorial/

	# 移除警告
	import os
	os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'

	# y=2x+1
	x_data=[1,2,3,4,5]
	y_data=[3,5,7,9,11]

	#include <iostream>
	#include <sstream>
	#include <cstring>
	#include <iomanip>
	#include <algorithm>
	using namespace std;

	typedef unsigned long long int ll;

	const int basecnt = 7;

	// ==UserScript==
	// @name Patchouli
	// @name:en Patchouli
	// @name:ja パチュリー
	// @name:zh-CN 帕秋莉
	// @name:zh-TW 帕秋莉
	// @namespace https://github.com/FlandreDaisuki
	// @description An image searching/browsing tool on pixiv
	// @description:en An image searching/browsing tool on pixiv
	// @description:ja pixiv 検索機能強化

	{
	"timeZone": "Asia/Taipei",
	"dependencies": {
	},
	"webapp": {
	"access": "ANYONE_ANONYMOUS",
	"executeAs": "USER_DEPLOYING"
	},
	"exceptionLogging": "STACKDRIVER",
	"executionApi": {

	const rand = (min, max) => Math.floor(Math.random() * (max + 1 - min) + min)
	const gen = (n, split = rand(0, 1)) => {
	if (n === 0) return rand(0, 1)
	return split
	? [2]
	.concat(gen(n - 1))
	.concat(gen(n - 1))
	.concat(gen(n - 1))
	.concat(gen(n - 1))
	: [rand(0, 1)]