minirator mr1

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Bzoj 1858: [Scoi2010] Sequence operation

, (010 100 0 0 1 1 0 1 0 1 11 0 23 0 52 2 24 0 40 3 62 3 74 2 81 0 50 5 63 3 9Sample Output5265HINTFor 30% of data, 1For 100% of data, 1Source#include #defineM 100010inlineintMaxintAintb) {returnA>b?a:b;}structtree{intL,R,S,LAZY,SUM,ML1,MR1,MM1,ML0,MR0,MM0;} tr[m*6];intA[m],n,m,x,y,v,op;inlineintRead () {inttmp=0; CharCh=GetChar (); while(ch'0'|| Ch>'9') ch=GetChar (); while(ch>='0'ch'9') {tmp=tmp*Ten+ch-'0'; ch=GetChar ();} returntmp;} InlinevoidPu

2. Ubuntu download compiled Linux kernel

clone is complete3. CD Goldfish4. Git branch-a View Remote branch[Email protected]:~/working_directory/kernel/goldfish$ git branch-a* MasterRemotes/origin/head-Origin/masterremotes/origin/android-3.10remotes/origin/android-3.18remotes/origin/android-3.4remotes/origin/android-goldfish-2.6.29remotes/origin/android-goldfish-3.10Remotes/origin/android-goldfish-3.10-l-mr1-devRemotes/origin/android-goldfish-3.10-m-devRemotes/origin/android-goldfish-3.18-de

Android tabhost + RadioGroup + PopupWindow

I made some changes based on the Code on the Internet, and kept records for learning. As follows: Package com. andyidea. tabdemo; import android. app. tabActivity; import android. content. intent; import android. OS. bundle; import android. util. displayMetrics; import android. view. display; import android. view. layoutInflater; import android. view. view; import android. view. view. onClickListener; import android. view. window; import android. widget. compoundButton; import android. widget. l

Tabhost usage Examples

1.mainactivity.javaKey points:1>Mainactivity extends tabactivity implements Onclicklistener,oncheckedchangelistener2> Localtabhost.addtab (Buildtabspec ("New", R.string.form_tab_new,R.drawable.main_tab_bg_selector, New Intent (This,( hellowordactivity.class)));3>mR1 = ((RadioButton) Findviewbyid (R.id.radio_button0));Mr1.setoncheckedchangelistener (this);4>5>Main_tab_bg_selector.xml6>Tab_selector.xml7>color

DDR parameter settings for the I.MX6 Development Board-Schindler

process. The input ' n ' here will have an option to select a specific frequency. It's just for debugging. After the DRAM frequency selection is over, the tool will start correcting. Write Leveling CalibrationThis is the first correction to be used to fine tune from I. MX6 the delay between the DRAM clock and write DQS output processor, press ' Y ' to proceed with the correction process. If the board has been corrected and the correction result has been and is integrated into the script, press

I. MX6 DDR parameter settings, I. mx6ddr parameter settings

' to continue the correction process. Input 'n' here will have an option to select a specific frequency. It is only used for debugging. After the DRAM frequency option is selected, the tool starts calibration.Write Leveling CalibrationThis is the first correction, used to fine-tune the delay between DRAM clock output from I. MX6 processor and write DQS, and continue the correction process by 'y. If the board has been corrected and the correction result has been integrated with the script, press

I. MX6DDR parameter settings

process. Input 'n' here will have an option to select a specific frequency. It is only used for debugging. After the DRAM frequency option is selected, the tool starts calibration.Write Leveling CalibrationThis is the first correction, used to fine-tune the delay between DRAM clock output from I. MX6 processor and write DQS, and continue the correction process by 'y. If the board has been corrected and the correction result has been integrated with the script, press 'n' to skip the correction.

Configuring the OPENCV Java Development environment in IntelliJ idea 13

-249.jar") via the popup dialog box. As shown in.Click "OK" to form.Click "OK" to close the dialog box.5) Set up the test code. Create a new Java class under the SRC directory named "Opencvjavatest". Write the test code further.1 ImportOrg.opencv.core.Core;2 ImportOrg.opencv.core.CvType;3 ImportOrg.opencv.core.Mat;4 ImportOrg.opencv.core.Scalar;5 6 /**7 * Created by better on 2014/10/4.8 */9 Public classopencvjavatest{Ten One Static{system.loadlibrary (core.native_library_name);} A -

hadoop2.x Yarn Job Submission (client)

The client submitting the yarn job still uses the Runjar class, and MR1, as can be referenced http://blog.csdn.net/lihm0_1/article/details/13629375 In the 1.x is submitted to the Jobtracker, and in 2.x replaced by ResourceManager, the client's proxy object also changed, replaced by Yarnrunner, but the approximate process and 1 similar, the main process focused on jobsubmitter.submitjobinternal , including checking output directory legality, setting up

Installing a single-node pseudo-distributed CDH Hadoop cluster

The original installation is three nodes, today to install a single node, after the completion of MapReduce is always unable to submit to YARN, tossing an afternoon did not fix MR1 Job submitted to Jobtracker, in YARN should be submitted to ResourceManager, but found a localjob, found to do the following configuration does not take effect In fact, in YARN does not have the following configuration, but after checking the code jobclient code or do th

Download android source code in ubuntu (latest)

-4.1.1_r1.1android-4.1.1_r2android-4.1.1_r3android-4.1.1_r4android-4.1.1_r5android-4.1.1_r6android-4.1.1_r6.1android-4.1.2_r1android-4.1.2_r2android-4.1.2_r2.1android-4.2.1_r1android-4.2.1_r1.1android-4.2.1_r1.2android-4.2.2_r1android-4.2.2_r1.1android-4.2.2_r1.2android-4.2.2_r1.2bandroid-4.2_r1android-4.3.1_r1android-4.3_r0.9android-4.3_r0.9.1android-4.3_r1android-4.3_r1.1android-4.3_r2android-4.3_r2.1android-4.3_r2.2android-4.3_r2.2-ctsandroid-4.3_r2.3android-4.3_r3android-4.3_r3.1android-4.4.

Introduction to the JobTrackerHA solution in CDH

levels increase in difficulty, but the benefits increase in turn. For CDH 4.2.0, it only achieves the job-level recovery granularity and is the simplest and least profitable implementation method. References: (1) CDH JobTracker HA introduction and installation solution: Https://ccp.cloudera.com/display/CDH4DOC/Configuring+High+Availability+for+the+JobTracker+ (MRv1) (2) CDH 4.2.0 source code download: http://archive.cloudera.com/cdh4/cdh/4/ Note that the CDH 4 release contains both MRv1 and MRv

PWM use of the lpc1768

p2.0 pwm1.1void Als_init(void) //initialization{LPC_SC, Pconp |= (11) | ( 12) | (1); Turn on the clockLPC_SC-PCLKSEL0 = ~ (32); Clock 25MLPC_SC-PCLKSEL0 = ~ (34);p2.0Lpc_pincon-PINSEL4 = ~ (0x03l0); GPIOLpc_pincon-PINMODE4 = ~ (0x03l0); To enable pull-upLpc_pincon-pinmode_od2 = ~ (0x011); Push-Pull Normal modeP2dir(0) = 1; OutputLpc_tim1, TCR |= (11); Reset TimerLPC_TIM1-CTCR = 0x00; Timer modeLPC_TIM1PC = 0x00;LPC_TIM1-PR = 1; Prescaler, Count frequency 1mLPC_TIM1-MR0 = ; 25*100 2500 Frequency

Initial mastery of yarn's architecture and principles

1. What is YARN?From the industry's changing trends in the use of distributed systems and the long-term development of the Hadoop framework, the jobtracker/tasktracker mechanism of mapreduce requires large-scale adjustments to fix its flaws in scalability, memory consumption, threading models, reliability, and performance. Over the past few years, the Hadoop development team has done some bug fixes, but the cost of these fixes is getting higher, suggesting that changes to the original framework

Preliminary understanding of yarn architecture and principles

1. What is yarn? From the changes in the use of Distributed Systems in the industry and the long-term development of the hadoop framework, the jobtracker/tasktracker mechanism of mapreduce needs to be adjusted in a large scale to fix its scalability, memory consumption, and thread model, defects in reliability and performance. In the past few years, the hadoop development team has fixed some bugs, but the costs of these fixes are getting higher and higher, which indicates the difficulty of makin

Hadoop cluster hardware standard configuration

(MR1: 12-24 1-4 TB hard drive (batch disks) 2 quad-/hex-/octo-core CPUs, running at least 2-2.5 GHz 64-512 GB of RAM (memory) Bind Gigabit Ethernet (Gigabit network, more storage density, requiring higher network input) Standard configuration specifications for NameNode/JobTracker (MR1) in a Hadoop cluster: 3-6 1 TB hard disks (batch disks) 2 quad-/hex-/octo-core CPUs, running at least 2-2.5 GH

The frame of a reptile

; set;} }Implementation of data extractionYou just have to implement the Ipageprocessor interface. public class Mypageprocessor:ipageprocessor {public site site { get; set; } public void Process (Page page) { var totalvideoelements = page. Selectable.selectlist (Selectors.xpath ("//li[@class = ' yk-col4 mr1 ']"). Nodes (); listThere's 4 points to note here. Public si

[Open source. NET Cross-platform Data acquisition crawler framework: Dotnetspider] [II] The most basic, the most free way to use

, the implementation of the basic crawler logic, URL scheduling, de-weight, HTML selector, basic downloader, multi-line program control and so on. That means you have to be free and flexible.How to use the core libraryAs we said in the previous article, implementing a complete business crawler requires 4 large modules: A downloader (already implemented), a URL scheduler (already implemented), a data pump (which needs to be implemented by itself), a data store (which needs to be implemented by it

2. Ubuntu download compiled Linux kernel

clone is complete3. CD Goldfish4. Git branch-a View Remote branch[Email protected]:~/working_directory/kernel/goldfish$ git branch-a* MasterRemotes/origin/head-Origin/masterremotes/origin/android-3.10remotes/origin/android-3.18remotes/origin/android-3.4remotes/origin/android-goldfish-2.6.29remotes/origin/android-goldfish-3.10Remotes/origin/android-goldfish-3.10-l-mr1-devRemotes/origin/android-goldfish-3.10-m-devRemotes/origin/android-goldfish-3.18-de

Apache Hadoop yarn–concepts & Applications

As previously described, YARN is essentially a system for managing distributed. It consists of a ResourceManager, which arbitrates all available cluster, and a Per-nodenodemanager, whi CH takes direction from the ResourceManager and are responsible for managing resources in a single node. Resource Manager In YARN, the ResourceManager is, primarily, a pure scheduler. In essence, it's strictly limited to arbitrating available resources in the system among the competing Applications–a MA Rket make

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