avery 5160

L2TP enableInterface Virtual-template1PPP Authentication-mode CHAPIP address 10.1.1.1 255.255.255.0Remote Address Pool 1L2tp-group 1Allow L2TP virtual-template 1 remote CLIENT1Tunnel name LNSTunnel password cipher [email protected]!AaaLocal-user vpdnuser Password cipher [email protected]!IP Pool 1 10.1.1.2 10.1.1.100Authentication-scheme DefaultFirewall Zone TrustAdd Interface gigabitethernet0/0/0Add Interface GIGABITETHERNET0/0/1Add Interface Virtual-template1Firewall Packet-filter Default Perm

network connection, routing table, interface statistics, etc., this is very common, such as determine whether the port of a program is listening[Email protected]:~> sudo/bin/netstat-ap |grep ssh #-a means all ports-p display PIDRoot ' s password:TCP 0 0 linux-b8lh.site:59073 mta1:61002 established29323/sshTCP 0 0 linux-b8lh.site:35252 10.14.22.26:61300 established11986/sshTCP 0 0 linux-b8lh.site:57146 mta1:61002 established9138/sshTCP 0 0 linux-b8lh.site:32997 10.14.22.26:61300 established15122

#include#include#defineRand (T) t* ((rand () Const intMAXN = 1e6 +Ten;Const DoubleEPS = 1e- -;using namespaceStd;inlineintRead () {Charc = GetChar ();intx =0, F =1; while(C '0'|| C >'9') {if(c = ='-') F =-1; c =GetChar ();} while(c >='0' C '9') {x = x *Ten+ C-'0'; c =GetChar ();} returnX *F;}intN;structPoint {Doublex, Y, W;} A[MAXN];DoubleAverx,avery;DoubleCalcDoubleXDoubley) {DoubleAns =0; for(inti =1; I ) ans+ = sqrt ((x-a[i].x) * (x-a[i].x) + (Y

copied 1 MB, it is useless. At this time, all the restrictions have reached the highest level. Users can use them normally only after cleaning. Let's take a look at our quota. [Yufei @ yufei test] $ quota Disk quotas for user yufei (uid 500 ): Filesystem blocks quota limit grace files quota limit grace /Dev/sda1 10240*5120 10240 6 days 165*162 165 6 days [Yufei @ yufei test] $ rm-f file5 [Yufei @ yufei test] $ rm-f file4 [Yufei @ yufei test] $ rm-f file3 Delete three files. let's check the q

cores:1processor : 3model Name:intel (R) Xeon (TM) CPU 3.60GHzcache size:1024 kbphysical id:3siblings:2core id:0cpu cores:1Example 5. Dual CPU Dual Core No hyperthreadingOf the 5 examples this should is the most capable system processor-wise. There is a total of 4 cores; 2 cores in 2 separate socketed physical CPUs. Each core shares the 4MB cache with its sibling core. The higher clock rate (3.0 Ghz vs 2.3Ghz) should offer slightly better performance than example 3.Processor:0model Name:intel (

,michael,thomas,ben,aubrey,rebecca,will,max,rianne,avery,lauren, Becca,Gregory,Sarah, robbie,keaton,carter,teddy,gabrielle,grace,emily| +---------Number of students who did not attend the EVENT_ID 1 exam mariadb[sampdb]>selectcount (student.student_id) fromstudentleftjoin (SELECTNBsp;*fromscorewhereevent_id=1) asscore1onstudent.student_id= score1.student_idwherescore1.scoreisnull; +---------------------------+ |count (student.student_id) | +---------

] $ quotaDisk quotas for user yufei (uid 500 ):Filesystem blocks quota limit grace files quota limit grace/Dev/sda1 5160*5120 10240 6 days 162 162At this time, only the disk space is still exceeded, and the number of files is normal. At this time, the number of days allowed for the number of files is blank. In addition, the * number after the number of files does not exist.Quota commandOK. Our test is complete. Of course, the user group quota settings

kconf conf = new sparkconf (). Setmaster ("local[2]"). Setappname (_01sparKSecondarySortOps.class.getSimpleName ()); Javasparkcontext JSC = new Javasparkcontext (conf); javarddThe output results are as follows:740 58730 54530 54203 2174 5873 5771 5571 5670 5470 5570 5670 5770 5870 5863 6160 5160 5260 5360 5660 5660 5760 5760 6150 5150 5250 5350 5350 5450 6250 51250 52240 51131 4220 2120 5320 52212 2117 87 825 63 41 2Scala versionThe tes

-U lottu mydb Starting vacuum...end. Transaction type: TPC-B (sort of) Scaling factor: 10 Query mode: extended Number of clients: 2 Number of threads: 2 Duration: 10 s Number of transactions actually processed: 22613 Latency average: 0.884 ms Tps = 2261.073893 (including connections establishing) Tps = 2261.413071 (excluding connections establishing) -- this will generate a file [postgres@sdserver40_210 ~]$ ll pgbench_log.5160* -rw-rw-r-- 1 postgres

Covariance plays an important role in Signal Analysis:1. It indicates whether X is positively correlated or negatively correlated with Y. If X is negative, the covariance is positive and the covariance is positive. 2. Covariance shows the correlation degree of X and Y. When the correlation points are scattered in the four quadrants, the correlation degree is very low. When the correlation points are distributed on the average line of X and Y, indicates unrelated. When the correlation point is cl

[Original] advanced features of getting started with Python, getting started with python Preface When learning advanced features, you may feel a little difficult. These new features have never been met before in c/c ++, c/c ++ does not support such simple but powerful syntax. Secondary slice When it comes to slicing, we can think of splitting a piece of radish. We can use this to compare the slicing here. In python, the slice operation is to take a segment in the list or tuple. For example, a l

ArticleDirectory IDE settings Alias Manager MRU lists Manager File Extensions Manager Debug Editor Vsmousebindings Written by: James Avery at 3/1/2008 10:00:53 Overview Vsmousebindings is a simple Visual Studio power toy that allows you to use all of those mouse buttons you have on your mouse. using this power toy you can assign commands to each of the buttons on your five button mouse. this process is very similar to th

A prefaceThere may be some difficulty in learning advanced features, these new features have not been encountered in the previous C/s + +, and C + + does not support such simple but powerful syntax.Two slicesWhen it comes to slicing, you can imagine cutting a radish and getting a section of the radish, using this analogy to describe the section here is very appropriate. The slice operation in Python is to take a list or a section of a tuple.For example, a list with the following definitions:#def

Advanced features of getting started with Python When learning advanced features, you may feel a little difficult. these new features have never been met before in c/c ++, c/c ++ does not support such simple but powerful syntax. Secondary slice When it comes to slicing, we can think of splitting a piece of radish. we can use this to compare the slicing here. In python, the slice operation is to take a segment in the list or tuple. For example, a list is defined as follows: # Define a listL =

(key and its value iterator). Also note that the type of the input and output must be consistent with the declaration in the custom reducer.22 orders are sorted first by first field, then the same row in the first field is sorted by the second field, note that the result of the first sort cannot be broken. For exampleInput file20 2150 5150 5250 5350 5460 5160 5360 5260 5660 5770 5860 6170 5470 5570 5670 5770 581 23 45 67 82203 2150 51250 52250 53530

. setgroupingcomparatorclass. As long as the two keys compared by this comparator are the same, they belong to the same group and their values are placed in a value iterator, the iterator uses the first key of all keys in the same group. Finally, it enters the reduce method of CER Cer. The input of the reduce method is all (key and Its Value iterator ). Also note that the input and output types must be consistent with those declared in the Custom CER Cer. 2 secondary sortingFirst, sort by the fi

@ c0109 zlt] # mpirun-NP 4 xterm-e GDB my_mpi_application Open a new terminal window and view the hello process: [Root @ c0108 test] # ps aux | grep helloroot 4342 0.0 0.0 11108 592? S/root/zmpi/test/Hello 4297 root 4359 0.0 0.1 136188 5160? S python2/usr/local/bin/mpdgdbdrv. py helloroot 4360 0.0 0.1 136188 5160? S python2/usr/local/bin/mpdgdbdrv. py helloroot 4361 0.0 0.1 81124 7348? S GDB-Q helloroot 4

The kill application is used together with the ps or pgrep command [root @ localhost ~] # Psauxf | grephttpdroot49390.00.05160708pts/3 S + 13:100:00 \ _ grephttpdroot48300.11.324232102... The kill application is used together with the ps or pgrep command [root @ localhost ~] # Ps auxf | grep httpdroot 4939 0.0 0.0 5160 708 pts/3 S + \ _ grep httpdroot 4830 0.1 1.3 24232 10272? Ss/usr/sbin/httpdapache 4833 0.0 0.6 24364? S \ _/usr/sbin/httpdapache 4834

Applicable models HP Deskjet 200, 200cci, 400, 420C, 500, 500C, 550C, 500Q, 525Q, 600, 610, 630, 640, 656, 670, 690, 695 inkjet printers. HP Deskjet 710, 720, 810, 830, 840, 845, 880, 895, 850, 870, 890, 920, 930, 948, 950, 970, 990 inkjet printers. HP Deskjet 3000 series inkjet printer. hp Deskjet D1368, D1468, D1558, D1568, D1668, D2368, D2468, D2568, D2668, D730, k109a, D4168, D4268, D4368, D5568 inkjet printers. hp Deskjet 5160, 5168, 5438, 5

["CategoryID"], Ds. tables["CATEGORIES"]. columns["Parentcategoryid"]); Make sure relation is nested Drel. Nested =true; Add relation to DataSet ' s Relations collection Ds. Relations.Add (Drel); DataSet ' s XML and xslttransformation [Source Xml][xslt stylesheet] XmlDocument to hold XML generated from DataSet XmlDocument objdoc=new XmlDocument (); Load XML Objdoc.loadxml (ds. GETXML ()); Create XslTransform Object XslTransform Objxsl=new XslTransform (); Load XSLT styleshe