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go-matrix

授权协议 MIT License
开发语言 Google Go
所属分类 Web3、 区块链
软件类型 开源软件
地区 不详
投 递 者 王炜
操作系统 跨平台
开源组织
适用人群 未知
 软件概览

go-matrix


Matrix Mainnet Update Notice

Successful updates

This patch will bring the following changes to Matrix AI Network:

  1. Adjustments to the penalty policy;
  2. Adjustments to the difficulty algorithm;
  3. More search space for POW mining;
  4. Bug fixes

Penalty Policy

In the current version, mining nodes that are elected but fail to report their base compute will getblacklisted and lose all rewards for that round.The new patch will raise the penalty for backlisted mining nodes. If blacklisted, your node is alsounable to become a candidate mining Masternode for the next election cycle

Difficulty Adjustment Algorithm

We have found two flaws in the current version:

  • Difficulty level drops when a new validation leader is elected.If there is a new validation leader in one mining cycle (the time for generating 3 blocks), thismining cycle will take longer to finish, and difficulty for mining the following block will lowerdown. (The validators take turns to generate blocks, and a validator which has generated a blockis considered the validation leader of that block.) Therefore, the increase in mining time causedin this way has nothing to do with the actual computing power. (In fact, a problem with onevalidator can cause this to happen repeatedly to the point where difficulty adjustment fails. As aresult, the difficulty level will be too low for miners to make full use of their computing power.)When this happens, it is impossible to know a miner’s actual mining time. Therefore, whencalculating the difficulty level, we’ll use “expected block-generation time” as the intermediatesolution in place of the actual time.
  • In the quick setup and the tracking stages, mining difficulty is slow to stabilise due to lack ofsynergy.Currently, the difficulty adjustment algorithm on the mainnet goes through two stages:(1) Quick setup: Quickly establish an algorithm for the first n mining cycles. Adjust difficultylevel exponentially to increase the estimation accuracy.(2) Tracking: Use exponential weighted moving average to track compute change through themainnet.In the current version, when calculating an exponential weighted moving average, the blockinformation (difficulty level and time) of the quick setup stage will be used at the beginning.This information is not an accurate reflection of computing power. But since the last block of thequick setup stage contains relatively accurate information, in the new version, we’ll use thisinformation instead of trying to get the difficulty level in other ways, when the calculatingexponential weighted moving average.

More search space for POW mining

In the current version, the search space for POW mining is only 4 bytes large. When the difficultylevel is too high, an ideal target value may not be found after searching the entire space. In thenew version, we’ll add a 12-byte space, at the initial 12 bytes of the mixDigest field of a blockhead

Bug fixes

The new version will introduce the following bug fixes.

  1. In the current version, validators in the mainnet only accept mining results that are oneblock higher than the local height. When the POW mining difficulty is too low, this cancause mining results to arrive two blocks earlier. In consequence, miners with greatercomputing power may not see their mining results accepted. This bug will get fixed with thepatch.
  2. In the current version, the nonce cannot be 0 for CPU mining. This bug will get fixed withthe patch.
  3. In the current version, the P2P module does not lock up visits to the map using certain codes,causing the system to crash sometimes when there are too many connected nodes. This issuewill get fixed with the patch

Blockchain Explorer

http://tom.matrix.io/home

MATRIX WEB WALLET

https://wallet.matrix.io/

Getting Started

Welcome! This guide is intended to get you running on the MATRIX network. To ensure your client behaves gracefully throughout the setup process, please check your system meets the following requirements:

OS Windows, Linux
CPU 8 Core (Intel(R) Xeon(R) CPU X5670 @2.93GHz)
RAM 16G
Free HD 300G
Bandwidth 20M

Build from Source

First of all, you need to clone the source code from MATRIX repository:

Git clone https://github.com/MatrixAINetwork/go-matrix.git, or

wget https://github.com/MatrixAINetwork/go-matrix/archive/master.zip

  • Branch: Master

  • Tag: v1.1.7

Building gman requires both a Go (version 1.7 or later) and a C compiler. You can install them using your favourite package manager. Once the dependencies are installed, run your 'make gman' command

You can also obtain our compiled gman from github [https://github.com/MatrixAINetwork/GMAN_CLIENT/tree/master/MAINNET/20200520]https://github.com/MatrixAINetwork/GMAN_CLIENT/tree/master/MAINNET/20200520)

Starting up your member nodes (Linux & Mac) - for deposited users

Step 1: Check out what you need to prepare (most of them can be obtaind from go-matrix repository)

/gman: exe file

/MANGenesis.json: genesis file

/chaindata: a folder which you should create

man.json: common profile which shall be put under /chaindata
picstore:a folder which shall be put under /chaindata

Step 2: Run Initiate command

./gman  --datadir  ./chaindata/   init    ./MANGenesis.json

Step 3: Visit our web wallet to create a new wallet address, and save your keystore file as well as password.

Please refer to ['Guide to Web Wallet']

Carry out your deposit actions if you want to run for a miner or validator node (you can find steps on the above guide)

Step 4: Copy your keystore file to folder keystore which is generated at Step 2 (/chaindata/keystore)

Step 5: Create a file named signAccount.json under root, and its content is like:

[
  {
    "Address":" MAN.gQAAHUeTBxvgbzf8tFgUtavDceJP ",
    "Password":" pass123456"
  }

]

Then, run:

./gman --datadir ./chaindata aes --aesin ./signAccount.json --aesout entrust.json

Upon the window prompt, you will be asked to set a password (which should contain upper-case letter[s], lower-case letter[s], number[s] and special character[s])

Step 6: Copy the generated entrust.json to root

Step 7: Start gman

./gman --datadir ./chaindata --networkid 1 --debug --verbosity 5  --manAddress [your man.address here] --entrust ./entrust.json --gcmode archive --outputinfo 1 --syncmode full 

for example, 

./gman --datadir ./chaindata --networkid 1 --debug --verbosity 5 --manAddress MAN.gQAAHUeTBxvgbzf8tFgUtavDceJP --entrust ./entrust.json --gcmode archive --outputinfo 1 --syncmode full

In this step, you will need to input the password set in step 5.

Step 8: Run 'Attach': ./gman attach /chaindata/gman.ipc (gman.ipc is generated under /chaindata when starting gman)

Starting up your member nodes (Linux & Mac) - for non-deposited users

Step 1: Check out what you need to prepare (most of them can be obtaind from go-matrix repository)

/gman: exe file

/MANGenesis.json: genesis file

/chaindata: a folder which you should create

man.json: common profile which shall be put under /chaindata
picstore:a folder which shall be put under /chaindata

Step 2: Run Initiate command

./gman  --datadir  ./chaindata/   init    ./MANGenesis.json

Step 3: Start./gman --datadir ./chaindata --networkid 1 --outputinfo 1 --syncmode 'full'

Starting up your member nodes (Windows) - for deposited users

Step 1: Check out what you need to prepare (most of them can be obtaind from go-matrix repository)

/gman: exe file

/MANGenesis.json: genesis file

/chaindata: a folder which you should create

man.json: common profile which shall be put under /chaindata
picstore:a folder which shall be put under /chaindata

Step 2: Run Initiate command

gman.exe --datadir chaindata\ init MANGenesis.json

Step 3: Create a file named signAccount.json, whose contents are:

[
  {
    "Address":"MAN.2skMrkoEkecKjJLPz6qTdi8B3NgjU ",
    "Password":"haolin0123"
  }

]

Step 4: Run:

gman.exe --datadir chaindata aes --aesin signAccount.json --aesout entrust.json

Upon the window prompt, you will be asked to set a password (which should contain upper-case letter[s], lower-case letter[s], number[s] and special character[s])

Step 5: Start gman

gman --datadir chaindata  --networkid 1 --debug --verbosity 5  --manAddress  MAN.2skMrkoEkecKjJLPz6qTdi8B3NgjU --entrust entrust.json --gcmode archive --outputinfo 1 --syncmode full

In this step, you will need to input the password set in step 5.

Step 8: Open another window

gman attach ipc:\\.\pipe\gman.ipc 

gman.ipc is generated under /chaindata when starting gman)

Starting up your member nodes (Windows) - for non-deposited users

Step 1: Check out what you need to prepare (most of them can be obtaind from go-matrix repository)

/gman: exe file

/MANGenesis.json: genesis file

/chaindata: a folder which you should create

man.json: common profile which shall be put under /chaindata
picstore:a folder which shall be put under /chaindata

Step 2: Run Initiate command

gman.exe --datadir chaindata\ init MANGenesis.json

Step 3: Start gman

gman --datadir chaindata  --networkid 1 --outputinfo 1 -- syncmode full

License

Copyright 2018-2020 The MATRIX Authors

The go-matrix library is licensed under MIT.

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 NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

  • 变量 变量是所有编程语言支持的基本要素,从计算机底层来说只有内存地址以及内部存储的二进制数据。计算机科学是分层结构,我们使用不同的语言站在不同的层次来思考问题,当使用类似C++,Java,Python,Go等语言时候的变量,相当于我们给某块存储空间起了一个名字,这个名字起着一个线索的作用,通过这个变量名称我们可以找到内存中存储的数据。 变量类型 把Go支持的类型简单分为基本类型和高级类型。 基本类

  • public class Solution {     public int[][] generateMatrix(int n) {         int res[][] =new int [n][n];         if(n==0)             {             return res;         }         int x=0,y=0,N=n-1,a=1;

  • Given an integer n, generate a square matrix filled with elements from 1 to n2 in spiral order. For example, Given n =3, You should return the following matrix: [ [ 1, 2, 3 ], [ 8, 9, 4 ], [ 7, 6,

  • import java.util.*; public class Solution {     public ArrayList<Integer> spiralOrder(int[][] matrix) {         ArrayList<Integer>jieguo = new ArrayList<Integer>();         int x=0;         int y=0;  

  • matrix Time Limit: 6000/3000 MS (Java/Others)    Memory Limit: 65536/65536 K (Java/Others) Total Submission(s): 509    Accepted Submission(s): 297 Problem Description Given a matrix with n rows and m

  • 前言:  工具是为实现需求服务的。不同的工具提供了不同的方式,在选择过程中,选择最优最快的实现方式,这是一个成熟的码农必备的技能。本篇参考了CodeProject上的这篇文章:Using SSRS - Matrix Control to Generate Columns Dynamically  场景:SQL Server 2012 AdventureWorks2012 数据库。  目的:实现按照

  • (1)二分法 public class Solution {     public boolean searchMatrix(int[][] matrix, int target) {         if(matrix==null || matrix.length==0 || matrix[0].length==0)              return false;         int

  • Given a matrix of m x n elements (m rows, n columns), return all elements of the matrix in spiral order. Example 1: Input: [ [ 1, 2, 3 ], [ 4, 5, 6 ], [ 7, 8, 9 ] ] Output: [1,2,3,6,9,8,7,4,5] Example

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