An error is reported when implementing MySQL master-slave replication configuration, as shown in the figure:
Reason: it is not allowed to change when starting MySQL master-slave replication
Solution: first turn off MySQL master-slave replication, then refresh, then make changes, and then turn on MySQL master-slave replication
① turn off MySQL master-slave replication
stop slave;
② Refresh
flush privileges;
③ Enable MySQL master-slave replication
start slave;
Errors are reported as follows:
The solution is as follows:
Original program:
plt.scatter (x, y, ‘R’, label =’original scatter ‘)
modified as:
plt.scatter (x, y, C =’r’, label =’original scatter ‘)
The color setting parameter is set to: C = ‘R’
The problem was successfully resolved as follows:
Tips:
Solution:
Step 1:
npm add vue-grid- [email protected] -beta1
Step 2:
Import vuegridlayout from ‘Vue grid layout’ in
mian.js
Add: .use (vuegridlayout)
createapp (APP).use (Axios).use (router).use (vuegridlayout).mount (‘#app’)
Because Vue grid layout is vue2, but you use vue3, you need to install the dependencies and related configurations of vue3
Error: ‘false’ undeclared (first use in this function)
When you knock the code with DEVC + +, you will report an error to the following program
bool ok(int t){
//Determine whether the tth person's job is assigned or not; if it is not assigned then a[j] = 0, otherwise a[j] = 1.
int i;
for(i=0;i<t;i++)
if(a[i]==a[t])
return false;
return true;
}
analysis:
There are no these keywords in real C. There is no keyword bool in C and early C + +. Bool can be used, but bool is not a built-in type. It is defined through typedef or macros. It is usually defined as int type. Later, the built-in type bool appeared in C + +, and the values can only be true (1) and false (0).
Solution 1:
Change the file type to CPP
Solution 2:
Macro definition of bool:
typedef enum __bool { false = 0, true = 1, } bool; ERROR: Could not find a version that satisfies the requirement tensorfolw==1.14
After configuring the Linux environment, an error “error: could not find a version that satisfies the requirement tensorflow = = 1.14” appears when installing tensorflow
Error
Check the reason. It is found that the installed version of acaconda is too high, so the matching version of tensorflow cannot be found
the original version of Anaconda was Anaconda 3-5.3.0
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Reduce Anaconda version 3-5.3.0 to Anaconda version 3-5.2.0 to install tensorflow = = 1.14.0 .
wget https://repo.anaconda.com/archive/Anaconda3-5.2.0-Linux-x86_64.sh
If it is shown in the figure below, anaconda3-5.2.0 is successfully installed
Install tensorfolw = = 1.14.0
error: expected ‘;’ at end of member declaration
error: expected ‘)’ before ‘&’ Token
error reporting
When developing c + + in Linux environment, the following compilation errors or other inexplicable errors occur while ensuring that there are no errors in the code
error: expected ';' at end of member declaration
error: expected ‘)’ before ‘&’ toke
Solution:
check whether the header file contains circularly. For example, a.cpp contains B.H, b.cpp contains C.H, and c.cpp contains A.H to form a ring. In this case, an error will be reported.
Error condahtterror: http 000 connection failed
CONDA create-n Python 36 Python =3.6 error condahtterror: http 000 connection failed for URL
CONDA create-n Python 36 python = = 3.6
ÐÐÐÐÐÐÐÐÐÐÐÐÐÐÐÐÐÐÐÐÐÐ
C:\Users\Administrator>conda create -n python36 python==3.6
Collecting package metadata (current_repodata.json): failed
CondaHTTPError: HTTP 000 CONNECTION FAILED for url <https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/win-64/current_repodata.json>
Elapsed: -
An HTTP error occurred when trying to retrieve this URL.
HTTP errors are often intermittent, and a simple retry will get you on your way.
'https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/win-64'
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Modify the file. Condarc
in C: \ users \ administrator directory to read:
channels:
- http://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
- http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/
- http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/msys2/
- http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/bioconda/
- http://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/
show_channel_urls: true
When I use cross entropy as the loss function, an error occurs:
RuntimeError: 1D target tensor expected, multi-target not supported
I checked the relevant information, and the statements in it are basically:
But it can’t solve my problem, because my tag data has been processed with the following code after processing:
torch.LongTensor(labels)
And I also printed the dimension of my label data:
torch.Size([16, 11])
Here 16 refers to batch_ Size , so it’s not a dimension problem.
But I was inspired when I read this blog (runtimeerror: multi target not supported at). It says:
When calculating the cross entropy loss function in pytorch, the correct label input cannot be in one hot format. The function will process itself into one hot format. Therefore, you do not need to enter [0 1], just enter 4.
My tag data is a multi tag problem, as follows:
tensor([0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 0])
Then, when passing through loss , crossentropyloss will automatically code it as one-hot , which will increase it by one dimension to:
tensor([[1., 0.],
[0., 1.],
[1., 0.],
[1., 0.],
[0., 1.],
[1., 0.],
[1., 0.],
[0., 1.],
[0., 1.],
[1., 0.],
[1., 0.]])
This leads to the error.
Therefore, the solution is to use the loss function of the multi label problem. For example, multilabelsoftmarginloss , or the most original mselos .
reference resources
[1] Wang’s technical road. Runtimeerror: multi target not supported at [EB/OL]. (December 10, 2019) [October 27, 2021] https://www.cnblogs.com/blogwangwang/p/12018897.html
[2] Python free. Solution of “one-dimensional target tensor expectation, multi-objective unsupported” in cross entropy loss function, calculation, lossfunction, error report, 1dtargettensorexpected, multitargetnotsupported, Solution [EB/OL] (2020-07-04) [2021-10-27] https://www.pythonf.cn/read/125399
Reference documents:
https://www.baidu.com/link?url=rxkuHBNVNB0i7GCoDEfgkwDr3AllV9XWRLWwkFQl7p1PjamwyIPupL93spZDTywmxMetZ7yHNtqtgJRPGR0POa& ; wd=& eqid=d1c30348003392a90000000461721b6e
Problem background:
After pulling a branch for the project code, execute NPM install to download the dependent package, and then execute NPM run serve to find that the project fails to run. The prompt message is syntax error: typeerror: token.type.endswith is not a function.
Solution:
The author’s version of Babel eslint is 10.1.0, and the version is reduced to 8.2.2. The project is run again and runs successfully.
remarks:
The reason for the error seen on GitHub is that the version of Babel eslint is wrong, and the version reduction can indeed solve this problem. However, it is strange that the Babel eslint version of the author’s trunk is the same as that of the branch, both of which are 10.1.0, while the trunk project can run successfully, but the branch project can’t.
15:30:38.092 [http-nio-9999-exec-1] ERROR c.m.g.e.GlobalErrorWebExceptionHandler - [handle,38] - org.apache.catalina.connector.ResponseFacade cannot be cast to reactor.netty.http.server.HttpServerResponse
java.lang.ClassCastException: org.apache.catalina.connector.ResponseFacade cannot be cast to reactor.netty.http.server.HttpServerResponse
at org.springframework.web.reactive.socket.server.upgrade.ReactorNettyRequestUpgradeStrategy.getNativeResponse(ReactorNettyRequestUpgradeStrategy.java:182)
Suppressed: reactor.core.publisher.FluxOnAssembly$OnAssemblyException:
Error has been observed at the following site(s):
|_ checkpoint ⇢ org.springframework.cloud.gateway.filter.WeightCalculatorWebFilter [DefaultWebFilterChain]
|_ checkpoint ⇢ org.springframework.boot.actuate.metrics.web.reactive.server.MetricsWebFilter [DefaultWebFilterChain]
|_ checkpoint ⇢ HTTP GET "/sys/websocket/1" [ExceptionHandlingWebHandler]
Stack trace:
at org.springframework.web.reactive.socket.server.upgrade.ReactorNettyRequestUpgradeStrategy.getNativeResponse(ReactorNettyRequestUpgradeStrategy.java:182)
at org.springframework.web.reactive.socket.server.upgrade.ReactorNettyRequestUpgradeStrategy.upgrade(ReactorNettyRequestUpgradeStrategy.java:162)
at org.springframework.web.reactive.socket.server.support.HandshakeWebSocketService.lambda$handleRequest$1(HandshakeWebSocketService.java:235)
at reactor.core.publisher.FluxFlatMap.trySubscribeScalarMap(FluxFlatMap.java:151)
at reactor.core.publisher.MonoFlatMap.subscribeOrReturn(MonoFlatMap.java:53)
at reactor.core.publisher.InternalMonoOperator.subscribe(InternalMonoOperator.java:57)
at reactor.core.publisher.MonoDefer.subscribe(MonoDefer.java:52)
at reactor.core.publisher.MonoDefer.subscribe(MonoDefer.java:52)
at reactor.core.publisher.MonoDefer.subscribe(MonoDefer.java:52)
at reactor.core.publisher.MonoDefer.subscribe(MonoDefer.java:52)
at reactor.core.publisher.InternalMonoOperator.subscribe(InternalMonoOperator.java:64)
at reactor.core.publisher.MonoDefer.subscribe(MonoDefer.java:52)
at reactor.core.publisher.MonoDefer.subscribe(MonoDefer.java:52)
at reactor.core.publisher.Mono.subscribe(Mono.java:4252)
at reactor.core.publisher.MonoIgnoreThen$ThenIgnoreMain.drain(MonoIgnoreThen.java:172)
at reactor.core.publisher.MonoIgnoreThen.subscribe(MonoIgnoreThen.java:56)
at reactor.core.publisher.InternalMonoOperator.subscribe(InternalMonoOperator.java:64)
at reactor.core.publisher.MonoDefer.subscribe(MonoDefer.java:52)
at reactor.core.publisher.MonoDefer.subscribe(MonoDefer.java:52)
at reactor.core.publisher.MonoDefer.subscribe(MonoDefer.java:52)
at com.alibaba.csp.sentinel.adapter.reactor.MonoSentinelOperator.subscribe(MonoSentinelOperator.java:40)
at reactor.core.publisher.MonoDefer.subscribe(MonoDefer.java:52)
at reactor.core.publisher.InternalMonoOperator.subscribe(InternalMonoOperator.java:64)
at reactor.core.publisher.MonoDefer.subscribe(MonoDefer.java:52)
<dependency>
<groupId>javax.servlet</groupId>
<artifactId>javax.servlet-api</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
<groupId>javax.servlet</groupId>
<artifactId>jstl</artifactId>
</dependency>
<dependency>
<groupId>org.apache.tomcat.embed</groupId>
<artifactId>tomcat-embed-jasper</artifactId>
</dependency>
Check the reason for the error. At first, I thought it was a permission problem and didn’t write it. After modifying the permission, I found that it still couldn’t be installed.
Check carefully and find that gdbm dependency is not installed.
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To install gdbm dependencies, enter the command line
brew install gdbm
The following indicates that the installation is successful
Finally, execute the command brew install again [email protected]
Installation succeeded!
Reason: it is mainly because the JDK version is inconsistent
1. The compiled version does not match. 2. The current project JDK version does not support
1. First, view the JDK of the project
File -> Project Structure-> Project Settings -> Project
1.8 must correspond to 8
Check whether the JDK of the current project (module) is the same as that of the project
2. Maven is used in the idea to build the project. The target bytecode version is automatically changed to 1.5 Because no JDK is specified in maven, it will be scanned as the default JDK version View and set the java compiler version (target bytecode version)
File–> Setting–> Build,Execution,Deployment–>Compiler–> Java compiler sets the corresponding module
The appropriate version of target bytecode version, such as JDK1.8 Change 1.5 above to 1.8
Solution:
Add Maven compiler plugin to pom.xml so that it will not automatically become 1.5
<plugin>
<artifactId>maven-compiler-plugin</artifactId>
<version>3.5.1</version>
<configuration>
<source>${java.version}</source>
<target>${java.version}</target>
<encoding>UTF-8</encoding>
</configuration>
</plugin>