ubuntu 16.04本身是自带python的,他本身是自带2.X和3.X,两个版本,默认的是2.X。这里记录一下如果在版本间切换以及如何把python版本切换到3.X下的方法。1. See the version of Python installed in Ubuntu and the Python version currently in useLs/usr/bin/python*python--version2. Set Update-alternatives to toggle Python versionShow python in place of version informationUpdate-alternatives--list pythonShow after executionUpdate-alternatives:error:no
First install sun1.6, here I install the directory is/usr/java/jdk1.6.0_45
Then set the profile file/etc/profile (add the file at the end of the file)
sudo vim/etc/profile
Export java_home=/usr/java/jdk1.6.0_45
export jre_home=/usr/java/jdk1.6.0_45/jre
export classpath=.: $JAVA _home/lib/dt.jar: $JAVA _home/lib/tools.jar
export path= $PATH: $JAVA _home/bin
Source/etc/profile
Then install openjdk1.7, you can install it in Software Center, and then execute the following command after installat
Tags: ons file permissions maintenance Ali awt install Oracle ISP download systemDeepin System Manual Installation Oracle Jdk8 detailed tutorialsDownload the JDK archive from Oracle website and extract the files using sudo tar-zxf jdk***, which I placed under the HOME/DIY/JAVA/JDK path.JDK file path:/home/diy/java/jdk/jdk1.8.0_152JDK environment variable ConfigurationModifying a configuration filesudo vi/etc/profileAfter entering, knock on I, then you can edit the content.Add content at the end
Preparation: JBoss, JDK, a Java EE War pack, DockerfileNote: JBoss and JDK can not be prepared in advance, wget in the command, because I happen to have, directly copiedDockerfile content:#admln 20150120From ubuntu:14.04Maintainer admln RUN Mkdir/usr/jbossCOPY wildfly-8.2.0.final/usr/jboss/COPY javaeedocker.war/usr/jboss/standalone/deployments/RUN mkdir/usr/java/COPY jdk-7u71-linux-x64.tar.gz/usr/java/workdir/usr/java/RUN TAR-ZXF jdk-7u71-linux-x64.tar.gzRUN update-
= $PATH: $JAVA _home/bin:$ Classpathexport PATH
Note the path and version of the JDK
Make configuration effective
Source/etc/profileConfiguring the default JDK
Create a new Java version
Create a new system command link in the shell with the update-alternatives command:sudoUpdate-alternatives--Install/usr/bin/javac Javac/usr/lib/jvm/jdk1.7.0_79/bin/javac1171sudoUpda
The update-alternative in Ubuntu/debian is used to manage different versions of the same software in a system.For example, the system may contain the GNU Java compiler, and the Sun's Java compiler. You can use Update-alternatives to set which of these are currently used.Its principle is to create a link in the/usr/bin, point to a file in the/etc/alternatives, and some file is a link, pointing to the current
settings can be.
Ls-l--full-time/usr/java/jdk1.7.0_71 can see that the full installation time, the indication is really just installed.
[Root@localhost sss]#/usr/java/jdk1.7.0_71/bin/java-version
Java Version "1.7.0_71"
Java (TM) SE Runtime Environment (build 1.7.0_71-b14)
Java HotSpot (TM) 64-bit Server VM (build 24.71-b01, Mixedmode)
As you can see, this Java is no longer an open JDK.
Ok.
Vi/etc/profile
Add at the end of the file
Export java_home=/usr/java/jdk1.7.0_71
Exportclasspath=.: $JA
Original link: http://www.cnblogs.com/Jason-Damon/archive/2012/04/21/2460850.htmlExcerpt from Baidu EncyclopediaThe Bellman-ford algorithm is a single-source shortest path algorithm with negative weights, which is very inefficient, but the code is easy to write. That is, the continuous relaxation (relaxation), each slack to update each edge, if the n-1 can be updated after the relaxation, then the picture has a negative ring (that is, the negative pow
after the task is executed. This command receives an API token, the name of the room, and the user name of the sender displayed in the message:
@servers(['web' => '192.168.1.1'])@task('foo', ['on' => 'web']) ls -al@endtask@after @hipchat('token', 'room', 'Envoy')@endafter
If necessary, you can also send custom messages to the HipChat room. When building a message, the available variables of the task are also available in the message:
@after @hipchat('token', 'room', 'Envoy', "$task ran in
staggered road X4, Y2, X3, Y0 X1, not found? there is a X4---------Y2, X3, X0--Y1-X2 The inverse of the path attribute becomes the upper (right) graph. At this point, all the vertices in set X already have corresponding matching, that is, complete matching! That is, the maximum weight of this binary graph match! X0-Y1X1-Y0X2-Y4X3-Y3X4-Y2Maximum power value is 30What about the minimum weight matching requirement? Very simple, before solving the ownership value of the opposite number, the results
Test instructions: N students arranged to M dormitory, each student to the dormitory has a rating, positive, 0, negative, now the evaluation is negative, can not let this student go to this room, ask how to arrange to let all the students live in the dormitory and the most evaluation.Idea: When building the weight of a graph, filter out negative edges.#include #include #include #include #include #include #include #include #include #include #include #include #define Lson (rt#define Rson (rt#defin
This is a creation in
Article, where the information may have evolved or changed.
Objective
In the previous article, we simply introduced the deployment of drone. The next step is to introduce the official documents as well as the plugins I used in the actual work. This article, is mainly a complete drone demo. Pipeline includes the Git clone pull code, the go build build, the Docker image is generated and pushed to the harbor,notify notification. On the notice, the official plug-ins are some of
The main idea: in a grid there are n small men and N houses, now want to let every little man have a house to live, but everyone to move a bit to spend ¥1, now find out the minimum total cost. PS: It can be thought that each point of the grid is a large square and accommodates all the people who can walk at the point of having a house but do not enter the house.Analysis: Man-house, very perfect with all minimum values match Ah, the cost of people to a house is their Manhattan distance between th
If a thing, you do not love him, perhaps because you fear it, dare not to touch him, so devote less time. Muddle through the living, muddle through life, will slack off, and is once the opportunity to slack, no opportunity will also create opportunities to slack off, and the first big law is "slack people will never su
feasibility, that is, for the above after this step, at least one feasible edge will be added to the figure. (5) After the modification, continue to the X-side point Dfs augmentation, if it fails, continue to modify until successful;The above is the basic idea of the KM algorithm. But the simple implementation method, the time complexity of O (N4)-Need to find O (n) Secondary augmentation path, each augmentation needs to modify the O (N) sub-index, each time the top is modified to enumerate the
edges, so that new edges added will always be able to add matching numbers to the sub-graph, while at the same time make the weight and the maximum increase.Implementation code/*HDU-2255*/#include#include#include#include#defineMAXN 310#defineINF 0x3f3f3f3fusing namespacestd;intNx,ny;intG[MAXN][MAXN];intLINKER[MAXN],LINKX[MAXN],LINKY[MAXN];intSLACK[MAXN];BOOLVISX[MAXN],VISY[MAXN];BOOLDfsintk) {Visx[k]=true; for(inty=0; y) { if(Visy[y])Continue; inttmp=linkx[k]+linky[y]-G[k][y]; if(!tm
HDU_2813
To avoid time-out when reading data, hash can be used for processing, and then non-Repeated names can be taken out for a vertex, then use the KM algorithm to find the optimal matching for the bipartite graph.
#include#include#include#define MAXD 210#define MAXM 40010#define INF 1000000000#define HASH 10007int headL[HASH], nextL[MAXM], headC[HASH], nextC[MAXM];int N, M, K, G[MAXD][MAXD], yM[MAXD], MAX;int A[MAXD], B[MAXD], slack[MAXD];int vis
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