| // Converts an ArrayBuffer directly to base64, without any intermediate 'convert to string then | |
| // use window.btoa' step. According to my tests, this appears to be a faster approach: | |
| // http://jsperf.com/encoding-xhr-image-data/5 | |
| /* | |
| MIT LICENSE | |
| Copyright 2011 Jon Leighton | |
| Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: | |
| The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. | |
| THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONIN |
| // This is a basic uniswap frontrunning MEV bot | |
| // Made by Merunas follow me on youtube to see how to use it and edit it: https://www.youtube.com/channel/UCJInIwgW1duAEnMHHxDK7XQ | |
| // 1. Setup ethers, required variables, contracts and start function | |
| const { Wallet, ethers } = require('ethers') | |
| const { FlashbotsBundleProvider, FlashbotsBundleResolution } = require('@flashbots/ethers-provider-bundle') | |
| // 1.1 Setup ABIs and Bytecodes | |
| const UniswapAbi = [{"inputs":[{"internalType":"address","name":"_factory","type":"address"},{"internalType":"address","name":"_WETH","type":"address"}],"stateMutability":"nonpayable","type":"constructor"},{"inputs":[],"name":"WETH","outputs":[{"internalType":"address","name":"","type":"address"}],"stateMutability":"view","type":"function"},{"inputs":[{"internalType":"address","name":"tokenA","type":"address"},{"internalType":"address","name":"tokenB","type":"address"},{"internalType":"uint256","name":"amountADesired","type":"uint256"},{"internalType":"uint256","name":"amountBDesire |
| import { useStorage } from '@vueuse/core' | |
| export const useStoredState = <T>(key: string, initValue: T) => { | |
| const shared = useState<T>(key, () => initValue) | |
| const stored = useStorage<T>(key, initValue) | |
| const state = computed({ | |
| get: () => shared.value, | |
| set: (value: T) => { | |
| shared.value = value |
Windows 2012 R2 Essentials: http://download.microsoft.com/download/8/F/7/8F7024D2-AB2A-4BE2-8406-1E3AC49C5C1F/9600.16384.WINBLUE_RTM.130821-1623_X64FRE_SERVER_SOLUTION_EN-US-IRM_SSSO_X64FRE_EN-US_DV5.ISO
Windows 2016: https://software-download.microsoft.com/download/pr/Windows_Server_2016_Datacenter_EVAL_en-us_14393_refresh.ISO
Windows 2019 Essentials: https://software-download.microsoft.com/download/pr/17763.737.190906-2324.rs5_release_svc_refresh_SERVERESSENTIALS_OEM_x64FRE_en-us_1.iso
| import json | |
| import os | |
| import time | |
| import webbrowser | |
| import sys | |
| import re | |
| def handleWindows(extra_seconds): | |
| print("OS : Windows") |
| let pancakeSwapAbi = [ | |
| {"inputs":[{"internalType":"uint256","name":"amountIn","type":"uint256"},{"internalType":"address[]","name":"path","type":"address[]"}],"name":"getAmountsOut","outputs":[{"internalType":"uint256[]","name":"amounts","type":"uint256[]"}],"stateMutability":"view","type":"function"}, | |
| ]; | |
| let tokenAbi = [ | |
| {"inputs":[],"name":"decimals","outputs":[{"internalType":"uint256","name":"","type":"uint256"}],"stateMutability":"view","type":"function"}, | |
| ]; | |
| const Web3 = require('web3'); | |
| /* | |
| Required Node.js |
You can do a SQL text query by using the LIKE operator. The issue is that using it requires a lot of computation, as a complete string query is done. Also if you want to have more search options (more fields), your query will grow a lot in complexity. To solve this issue, there's a concept of virtual tables for full text search (FTS).
We will build our solution using Room (already set in the project). We're using version 2.2.0-rc01 for that.
With Room, the only thing we need is to create the new class with @FTS4 notation. By specifying contentEntity to be the Route class, it means that it will reuse the values from the Route table instead of populating this one with copies. The fields in question should match the ones from the Route table. In this example we only need the title.
| // Copyright (c) 2021 Advanced Micro Devices, Inc. All rights reserved. | |
| // | |
| // Permission is hereby granted, free of charge, to any person obtaining a copy | |
| // of this software and associated documentation files (the "Software"), to deal | |
| // in the Software without restriction, including without limitation the rights | |
| // to use, copy, modify, merge, publish, distribute, sublicense, and/or sell | |
| // copies of the Software, and to permit persons to whom the Software is | |
| // furnished to do so, subject to the following conditions: | |
| // | |
| // The above copyright notice and this permission notice shall be included in |
I liked the way Grokking the coding interview organized problems into learnable patterns. However, the course is expensive and the majority of the time the problems are copy-pasted from leetcode. As the explanations on leetcode are usually just as good, the course really boils down to being a glorified curated list of leetcode problems.
So below I made a list of leetcode problems that are as close to grokking problems as possible.
| version: "3.3" | |
| services: | |
| traefik: | |
| image: "traefik:v2.2" | |
| container_name: "traefik" | |
| command: | |
| - "--api=true" | |
| - "--api.dashboard=true" |
