Category Archives: Error

[Solved] org.springframework.beans.factory.BeanCreationException: Error creating bean with name ‘dataSource‘ 


Nov 01, 2021 11:56:38 PM org.springframework.context.support.ClassPathXmlApplicationContext prepareRefresh
Message: Refreshing org.springframework.context.support.ClassPathXmlApplicationContext@3b22cdd0: startup date [Mon Nov 01 23:56:38 CST 2021]; root of context hierarchy
Nov 01, 2021 11:56:38 PM org.springframework.beans.factory.xml.XmlBeanDefinitionReader loadBeanDefinitions
Message: Loading XML bean definitions from class path resource [ioc3.xml]
org.springframework.beans.factory.BeanCreationException: Error creating bean with name ‘dataSource’ defined in class path resource [ioc3.xml]: Instantiation of bean failed; nested exception is java.lang.NoClassDefFoundError: com/mchange/v2/ser/Indirector
at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.instantiateBean(AbstractAutowireCapableBeanFactory.java:1076)
at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.createBeanInstance(AbstractAutowireCapableBeanFactory.java:1021)
at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.doCreateBean(AbstractAutowireCapableBeanFactory.java:504)
at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.createBean(AbstractAutowireCapableBeanFactory.java:475)
at org.springframework.beans.factory.support.AbstractBeanFactory$1.getObject(AbstractBeanFactory.java:304)
at org.springframework.beans.factory.support.DefaultSingletonBeanRegistry.getSingleton(DefaultSingletonBeanRegistry.java:228)
at org.springframework.beans.factory.support.AbstractBeanFactory.doGetBean(AbstractBeanFactory.java:300)
at org.springframework.beans.factory.support.AbstractBeanFactory.getBean(AbstractBeanFactory.java:195)
at org.springframework.beans.factory.support.DefaultListableBeanFactory.preInstantiateSingletons(DefaultListableBeanFactory.java:700)
at org.springframework.context.support.AbstractApplicationContext.finishBeanFactoryInitialization(AbstractApplicationContext.java:760)
at org.springframework.context.support.AbstractApplicationContext.refresh(AbstractApplicationContext.java:482)
at org.springframework.context.support.ClassPathXmlApplicationContext.<init>(ClassPathXmlApplicationContext.java:139)
at org.springframework.context.support.ClassPathXmlApplicationContext.<init>(ClassPathXmlApplicationContext.java:83)
at com.rtl.test.IOCTest.test04(IOCTest.java:44)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.junit.runners.model.FrameworkMethod$1.runReflectiveCall(FrameworkMethod.java:45)
at org.junit.internal.runners.model.ReflectiveCallable.run(ReflectiveCallable.java:15)
at org.junit.runners.model.FrameworkMethod.invokeExplosively(FrameworkMethod.java:42)
at org.junit.internal.runners.statements.InvokeMethod.evaluate(InvokeMethod.java:20)
at org.junit.runners.ParentRunner.runLeaf(ParentRunner.java:263)
at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:68)
at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:47)
at org.junit.runners.ParentRunner$3.run(ParentRunner.java:231)
at org.junit.runners.ParentRunner$1.schedule(ParentRunner.java:60)
at org.junit.runners.ParentRunner.runChildren(ParentRunner.java:229)
at org.junit.runners.ParentRunner.access$000(ParentRunner.java:50)
at org.junit.runners.ParentRunner$2.evaluate(ParentRunner.java:222)
at org.junit.runners.ParentRunner.run(ParentRunner.java:300)
at org.junit.runner.JUnitCore.run(JUnitCore.java:157)
at com.intellij.junit4.JUnit4IdeaTestRunner.startRunnerWithArgs(JUnit4IdeaTestRunner.java:69)
at com.intellij.rt.junit.IdeaTestRunner$Repeater.startRunnerWithArgs(IdeaTestRunner.java:33)
at com.intellij.rt.junit.JUnitStarter.prepareStreamsAndStart(JUnitStarter.java:235)
at com.intellij.rt.junit.JUnitStarter.main(JUnitStarter.java:54)

Caused by: java.lang.NoClassDefFoundError: com/mchange/v2/ser/Indirector
at java.lang.Class.getDeclaredConstructors0(Native Method)
at java.lang.Class.privateGetDeclaredConstructors(Class.java:2699)
at java.lang.Class.getConstructor0(Class.java:3103)
at java.lang.Class.getDeclaredConstructor(Class.java:2206)
at org.springframework.beans.factory.support.SimpleInstantiationStrategy.instantiate(SimpleInstantiationStrategy.java:80)
at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.instantiateBean(AbstractAutowireCapableBeanFactory.java:1069)
… 35 more
Caused by: java.lang.ClassNotFoundException: com.mchange.v2.ser.Indirector
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
… 41 more
Process finished with exit code -1

Solution.
Add a jar package.

[Solved] Use the truss console to connect to the public blockchain network error: mnemonic invalid or undefined

Error prompt

Error: Mnemonic invalid or undefined

Cause:. Env file naming error

Change the process.env file name directly to .Env and then execute the truss console --network Kovan command

Steps for connecting the common chain of truss
Install dotenv and truffle-hdwallet-provider

npm install dotenv --save-dev -g
npm install truffle-hdwallet-provider --save-dev -g

Note: The windows system may need to restart these two dependent packages to take effect in the project

Create an .env file in the project of root directory, write Mnemonic and INFURA_API_KEY via Form of key-value pairs in the .env file

INFURA_API_KEY= your infura_api_key
MNEMONIC="your mnemonic"

Configure in truffle-config.jsor or truffle.js file:

// Import the dotenv library created to read the settings in the `.env` file
require('dotenv').config();
// import the truffle-hdwallet-provider library to rebuild the wallet
const HDWalletProvider = require('truffle-hdwallet-provider');

module.exports = {
  networks: {
    development: {
     host: "127.0.0.1",     // Localhost (default: none)
     port: 7545,            // Standard Ethereum port (default: none)
     network_id: "*",       // Any network (default: none)
    },
    // Useful for deploying to a public network.
    // NB: It's important to wrap the provider as a function.
    kovan: {
      provider: () => new HDWalletProvider(
        process.env.MNEMONIC, 
        process.env.INFURA_API_KEY
      ),
      gas: 5000000,
      gasPrice: 25000000000,
      network_id: 42
    },
  },
  solc: {
    optimizer: {
      enabled: true,
      runs: 200
    }
  }
}

Enter truffle console --network kovan in the console to connect to the public chain, and you can enter web3.eth.getBlock('latest').then(console.log) for verification. If the following content is returned, the connection is successful:

{ author: '0x03801efb0efe2a25ede5dd3a003ae880c0292e4d',
  difficulty: '340282366920938463463374607431768211454',
  extraData:
   '0xde830206028f5061726974792d457468657265756d86312e33362e30826c69',
  gasLimit: '0x7a1200',
  gasUsed: '0x17d23',
  hash:
   '0xc7390c4f492c8c1da60608135fc9e05930123b645b39f221cba33d8b3c577b2a',
  logsBloom:
   '0x00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000800000000000000000000000000080000000000000000000100000008000000000000000000080000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000400800000000000010000000000000080000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000009000000008000000',
  receiptsRoot:
   '0x3d05bb2ed4fcc90234eea6d840e7d0e3ce7f598a15e5314536b17bcd11c78b5b',
  sealFields:
   [ '0x84175e8801',
     '0xb84155a8cdb108dccec1d314124058fa6f22e7400ee200db0a94b7b165e4c3454c1818cc05f815cb7ce48f7a88b8401515740311a3566d9cf079428d506a6daca50101' ],
  sha3Uncles:
   '0x1dcc4de8dec75d7aab85b567b6ccd41ad312451b948a7413f0a142fd40d49347',
  signature:
   '55a8cdb108dccec1d314124058fa6f22e7400ee200db0a94b7b165e4c3454c1818cc05f815cb7ce48f7a88b8401515740311a3566d9cf079428d506a6daca50101',
  size: 877,
  stateRoot:
   '0x03af5adce52a81ce5d332cddb9955e344214bff00859b78868116e1e839efdf7',
  step: '392071169',
  timestamp: 1568284676,
  totalDifficulty: '4524524338444961608702071789512829094373049115',
  transactions:
   [ '0xded7fed0842fd65ec808bc3652ec4175bc190acc11345c49c44b1fb5d954610f',
     '0x7e9112a46fa3c07aad813ea86355b15eebb44023c040d198ee7d15d379bbc2be' ],
  transactionsRoot:
   '0x0dd10d90686dda2684bd0ba70d1c9e1d9a5302c30ca75eb2c5b07a7b6e4498b9',
  uncles: [] }

Note: every time you want to call the contents of the. Env file, you must first import the dotenv Library in the JS file, otherwise you cannot read the contents of the file

[Solved] QT Programme Error: error: no matching function for call to…

The following error occurred in the binding mechanism between signal and slot function:

error: no matching function for call to 'Widget::connect(QPushButton*&, void (QAbstractButton::*)(bool), Widget*, <unresolved overloaded function type>)'

The reason for the error is that when making a response call, you do not know which function to call, indicating that function reuse occurs.

void classover();
void classover(QString food);

For the above two functions, you can mask one. Which one?

When signals correspond to slot functions, two characteristics need to be noted:
1. The parameter types of signals and slots must correspond one by one
2. The number of parameters of signals and slots can be different, but the number of signal parameters must be more than that of slot functions

To sum up, the nonparametric function is retained to achieve the correct result.

[Solved] Runtimeerror during dcgan training: found dtype long but expected float

When using dcgan for network training, the following errors occur:

RuntimeError: Found dtype Long but expected Float

The code snippet for this error is as follows:

label = torch.full((b_size,), real_label, device=device)
        # Input the batch with positive samples into the discriminant network for forward computation and put the result into the variable output
        output = netD(real_cpu).view(-1)
    
        # Calculate the loss
        errD_real = criterion(output, label)

The reason is that the data type of the input output data and tag value into the loss function does not match the required data type. What is required is float type data, and what is passed in is long type data
therefore, we need to convert the incoming data to float type
the modified code is as follows:

label = torch.full((b_size,), real_label, device=device)
        # Input the batch with positive samples into the discriminant network for forward computation and put the result into the variable output
        output = netD(real_cpu).view(-1)
        # Convert the incoming data to float type
        output = output.to(torch.float32)
        label = label.to(torch.float32)
        # Calculate the loss
        errD_real = criterion(output, label)

Problem solved!

SVN Update Error Please execute the ‘Cleanup‘ command [How to Solve]

Question

SVN Update Error: Please execute the ‘Cleanup’ command

Detailed description
when using SVN to update files, you will encounter failure (maybe because the last pull was forcibly interrupted). You will be prompted to need cleanup, but when you clean up, you will be prompted that the folder has been locked. At this time, you go to release lock, but still fail. You will be prompted to please execute the ‘cleanup’ command. (TMD is really difficult to use)

Solution:
obviously, this cannot be operated because the SVN file is locked and needs to be released, but manual release does not work, so you need to enter the SVN root directory where the locked folder is located, and then set the hidden files to be visible find the .SVN folder, and link wc.db with database management tools such as Navicat, DataGrid and other ides. This is a SQLite database. Find WC_Lock table

Delete locked records and submit updates to the database
it’s OK to update the code or file again

Error: one input ui-file must be specified [How to Solve]

QT designer installed   After success, install PIP anyway   install PyQt5   And pip   Install pyqt5 designer is useless

So consider whether the installation path of QT designer is wrong. Therefore, searching designer.exe in the folder unexpectedly found 2 files.

The first path has been used before, but the UI file cannot be converted to py file. The link below was replaced.

OK after running the test

Hope to help you!

[Solved] RuntimeError: 1only batches of spatial targets supported (non-empty 3D tensors) but got targets of s

catalogue

An error is reported when running unet3 + for multi classification training

RuntimeError: 1only batches of spatial targets supported (non-empty 3D tensors) but got targets of size xxx

1. Modify train.py

2. Modify predict.py

3. Modify eval.py

Then run the following statement to start the training:

[experiment record] u-net (pytorch)

An error is reported when running unet3 + for multi classification training

RuntimeError: 1only batches of spatial targets supported (non-empty 3D tensors) but got targets of size xxx

After many times of reference, trial and error, the following solutions are obtained:

Unet3 + source code has a small bug for multi classification tasks, which is slightly modified here. (unet3 + code comes from githubgithub – avbuffer/unet3plus_pth: unet3 +/UNET + +/UNET, used in deep automatic portal matching in Python)

1. Modify train.py

# line 56
if net.n_classes > 1:
        criterion = nn.CrossEntropyLoss()  
    else:
        criterion = nn.BCEWithLogitsLoss()

# line 79
loss = criterion(masks_pred, torch.squeeze(true_masks))   

# line 153
net = UNet(n_channels=3, n_classes=3)

The reason for using the torch. Squeeze() function is that when crossentropy is used as the loss function, the output of output = net (input) should be [batchsize, n_class, height, weight], while the label is [batchsize, height, weight], and the label is a single channel gray map; Both bceloss and cross-entropy loss are used for classification problems. Bceloss is a special case of cross-entropy loss, which is only used for binary classification problems, and cross-entropy loss can be used for binary classification or multi-classification.

NN. Crossentropyloss() function to calculate cross entropy loss example:

Use.
# output is the output of the network, size=[batch_size, class]
# If the batch size of the network is 128 and the data is divided into 10 classes, then size=[128, 10]
 
# target is the real label of the data, which is scalar, size=[batch_size]
# If the batch size of the network is 128, then size=[128]
 
criterion=nn.CrossEntropyLoss()
crossentropyloss_output=criterion(output,target)

2. Modify predict.py

os.environ['CUDA_VISIBLE_DEVICES'] = str(gpu_id)
if unet_type == 'v2':
    net = UNet2Plus(n_channels=3, n_classes=1)
elif unet_type == 'v3':
# line93
    net = UNet3Plus(n_channels=3, n_classes=20)   
    #net = UNet3Plus_DeepSup(n_channels=3, n_classes=1)
    #net = UNet3Plus_DeepSup_CGM(n_channels=3, n_classes=1)
else:
    net = UNet(n_channels=3, n_classes=1)

3. Modify eval.py

for true_mask, pred in zip(true_masks, mask_pred):
    pred = (pred > 0.5).float()
    if net.n_classes > 1:
# line26
    tot += F.cross_entropy(pred.unsqueeze(dim=0), true_mask).item()
    # tot += F.cross_entropy(pred.unsqueeze(dim=0), true_mask.unsqueeze(dim=0)).item()
    else:
        tot += dice_coeff(pred, true_mask.squeeze(dim=1)).item()

Then run the following statement to start the training:

python train.py -g 0 -u v3 -e 400 -b 2 -l 0.1 -s 0.5 -v 15.0

How to Solve creating bean with name ‘mappingjackson2httpmessageconverter’ error when elasticsearch advanced client starts‘

When learning elasticsearch, write the code to ehcahce index. When starting the project, an error is reported in the error creating bean with name ‘mappingjackson2httpmessageconverter’.

So I looked for the jar package in lib and found that Jackson’s package was introduced. However, no dependency is introduced into the POM file. I checked the related dependencies and found that they were introduced from the high-level client

It seems to be a necessary package for elastic advanced client. To test this conjecture, I deleted all the jar packages of Jackson and started it. The project did start successfully, but an error occurred when sending the index request, that is, in this line of code indexrequest.Source (JSON).

It seems that it is a necessary package. But I didn’t find the right answer on the Internet. To solve this problem, I manually introduced Jackson into

Then delete all the jar packages that do not belong to my imported Jackson.
the red box part is the jar package I manually imported, and the blue part is the jar package automatically imported by the advanced client. Manually delete the jar package in blue. The measured items can be started normally and the index request can be sent

However, there is a fatal problem, that is, if reload maven, the jar package in the blue part will be automatically introduced. To solve this problem, we must first find out which jar packages are introduced into our POM file, and then ignore these jar packages using the exclusion method. Finally, my POM file is shown below


    <dependencies>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-web</artifactId>
            <version>2.3.12.RELEASE</version>
            <exclusions>
                <exclusion>
                    <groupId>com.fasterxml.jackson.datatype</groupId>
                    <artifactId>jackson-datatype-jdk8</artifactId>
                </exclusion>
                <exclusion>
                    <groupId>com.fasterxml.jackson.datatype</groupId>
                    <artifactId>jackson-datatype-jsr310</artifactId>
                </exclusion>
            </exclusions>
        </dependency>

        <dependency>
            <groupId>org.elasticsearch.client</groupId>
            <artifactId>elasticsearch-rest-high-level-client</artifactId>
            <version>7.2.1</version>
            <exclusions>
                <exclusion>
                    <groupId>com.fasterxml</groupId>
                    <artifactId>jackson-xml-databind</artifactId>
                </exclusion>
                <exclusion>
                    <groupId>com.fasterxml.jackson.core</groupId>
                    <artifactId>jackson-core</artifactId>
                </exclusion>
                <exclusion>
                    <groupId>com.fasterxml.jackson.dataformat</groupId>
                    <artifactId>jackson-dataformat-smile</artifactId>
                </exclusion>
                <exclusion>
                    <groupId>com.fasterxml.jackson.dataformat</groupId>
                    <artifactId>jackson-dataformat-yaml</artifactId>
                </exclusion>
                <exclusion>
                    <groupId>com.fasterxml.jackson.dataformat</groupId>
                    <artifactId>jackson-dataformat-cbor</artifactId>
                </exclusion>
            </exclusions>
        </dependency>

        <!-- json包 -->
        <dependency>
            <groupId>com.fasterxml.jackson.core</groupId>
            <artifactId>jackson-databind</artifactId>
            <version>${jackson.version}</version>
        </dependency>
        <dependency>
            <groupId>com.fasterxml.jackson.core</groupId>
            <artifactId>jackson-core</artifactId>
            <version>${jackson.version}</version>
        </dependency>
        <dependency>
            <groupId>com.fasterxml.jackson.core</groupId>
            <artifactId>jackson-annotations</artifactId>
            <version>${jackson.version}</version>
        </dependency>
    </dependencies>

/usr/bin/ssh-copy-id: ERROR [How to Solve]

When building Hadoop, the domain name is accidentally wrong
which leads to the password input error when configuring password-free login

after modifying the domain name again, the error is always reported in the configuration

Solution:
Modify the wrong domain name in the known_hosts file in the ~/.ssh directory and delete
it directly and execute it again. Command ssh-copy-id slave2 and
enter the password.