SVN checkout 명령어 


#$USER_ID
#$USER_PW
#$SVN_URL
#$DEST

[/home@hostname] svn checkout -q --username $USER_ID --password $USER_PW --no-auth-cache -r HEAD $SVN_URL $DEST

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Using the MinIO API via curl

Using the MinIO API via curl is straightforward, as MinIO is compatible with Amazon S3 API, so most commands follow a similar syntax. Here’s a guide on how to use curl with the MinIO API for some common operations like uploading, downloading, and managing objects. Prerequisites Access Key and Secret Key : Obtain your MinIO Access Key and Secret Key. MinIO Endpoint : Know your MinIO server endpoint, e.g., http://localhost:9000 . Bucket : You may need an existing bucket name, or create a new one using the commands below. Authentication Header For requests to work with MinIO, you need to include authentication in the headers. MinIO uses AWS Signature Version 4 for signing requests. Common Examples 1. List Buckets To list all buckets in your MinIO account, use: curl -X GET \ - -url "http://localhost:9000/" \ - H "Authorization: AWS <AccessKey>:<Signature>" 2. Create a Bucket To create a new bucket, use: curl -X PUT \ - -url "htt...
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How to checkout branch of remote git, 깃 리모트 브랜치 체크아웃

To check out a branch from a remote Git repository, you can follow these steps: 1. Fetch the remote branches First, ensure that your local repository is aware of the remote branches by using git fetch . This updates your local references to the remote branches. git fetch origin 2. Check out the remote branch Once the remote branches are fetched, you can check out the desired branch using git checkout -b and specifying the remote branch. Command: git checkout -b < local -branch- name > origin/<remote-branch- name > Explanation: <local-branch-name> : The name you want to give to your local branch. origin/<remote-branch-name> : Refers to the branch on the remote called origin (which is the default name for the main remote repository) and the branch you want to check out. Example: If the remote branch is called feature-branch and you want to create a local branch with the same name, you would run: git checkout -b feature -branch origin / feature -...
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Gradle multi-module project

In a Gradle multi-module project , it's common to define shared dependencies in the parent project (root project) to avoid duplication across modules. This structure allows child modules to inherit or access those dependencies. Below are some best practices on how to correctly share dependencies between parent and child modules in a multi-module Gradle project . Project Structure Example multi-module-project/ ├── build .gradle .kts (Parent/root project) ├── settings .gradle .kts ├── module-a/ │ └── build .gradle .kts ├── module-b/ │ └── build .gradle .kts Step 1: Configure settings.gradle.kts In a multi-module project, the settings.gradle.kts file should declare all the modules that are part of the build. // settings.gradle.kts rootProject .name = "multi-module-project" // Include child modules include ( "module-a" , "module-b" ) Step 2: Define Shared Dependencies in the Parent build.gradle.kts The root build.gradle.kts ca...
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How to split a list into chunks of 100 items in JavaScript, 자바스크립트 리스트 쪼개기

To split a list into chunks of 100 items in JavaScript, you can create a function that loops through the list and slices it into smaller subarrays of size 100. Here’s how you can do it: Example Code: function splitListBy100( array ) { const chunkSize = 100 ; const result = []; for ( let i = 0 ; i < array .length; i += chunkSize) { result .push( array .slice(i, i + chunkSize)); } return result ; } // Example usage: const myArray = [... Array ( 350 ).keys()]; // Creating an array of numbers from 0 to 349 const chunks = splitListBy100(myArray); console.log(chunks); Explanation: chunkSize : Defines the size of each chunk, which in this case is 100. for loop : Iterates over the array, incrementing the index by 100 each time. array.slice(i, i + chunkSize) : Extracts a chunk from the array starting from index i and ending at i + chunkSize . result.push() : Adds the chunk to the result array. The function returns an array of arrays (...
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In HBase, the "memory to disk" flush operation

In HBase, the "memory to disk" flush operation (or "memstore flush") happens when data in the memstore (in-memory storage) is flushed to disk as HFiles in HDFS. This flush can occur based on multiple triggers rather than a strict time interval, including: Memstore Size Limit : The primary trigger is when the size of the memstore reaches a defined threshold. The default maximum memstore size per RegionServer is set by the configuration parameter hbase.regionserver.global.memstore.size , typically as a fraction of the total heap size. When the memstore fills up, it triggers an automatic flush to disk. Time-Based Flush (Optional) : Although time-based flushes are not the main flush trigger, HBase provides an optional parameter for a maximum delay, which can ensure that data gets written to disk within a certain time, even if the memstore size limit hasn't been reached. This parameter is: hbase.hregion.memstore.flush.period : This sets the maximum time (in mil...
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CDPEvents in puppeteer

In Puppeteer , CDPEvents refers to events emitted by the Chrome DevTools Protocol (CDP) . Puppeteer leverages CDP to interact with and control a Chromium-based browser. CDP provides detailed, low-level access to browser internals, such as network traffic, console logs, page lifecycle events, and more. You can listen to these CDP events through Puppeteer’s API to monitor or intercept browser activity. How to Listen for CDP Events in Puppeteer Enable the Required CDP Domain: Some events require enabling a particular domain (e.g., 'Network' , 'Page' , 'Runtime' ). Use page._client() to Access the CDP Session: Although it’s a bit lower-level, Puppeteer allows access to DevTools through the page._client() API. Example: Listening for Network Requests This example demonstrates how to intercept and log network requests using CDP. const puppeteer = require( 'puppeteer' ); ( async () => { const browser = await puppeteer.launch({ headless...
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가속도 & 속도

F = ma 에서 가속도(( a ))는 속도(( v ))의 시간(( t ))에 대한 미분이므로, 수식으로 표현하면 다음과 같습니다. \[a = \frac{dv}{dt}\] 또한, 속도(( v ))는 위치(( x ))의 시간 미분이므로, 이를 포함하여 가속도를 표현하면 \[a = \frac{d}{dt} \left( \frac{dx}{dt} \right) = \frac{d^2 x}{dt^2}\] 즉, 가속도는 위치의 이阶 미분(두 번째 미분)입니다.
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Sparse encoder

A Sparse Encoder refers to a variant of neural network architectures where sparsity is introduced in the encoding process. This can mean either: Sparse Input Representations : The input features to the encoder are sparse (many values are zero). Sparse Output Representations : The encoder is designed to produce sparse outputs where most of the encoded feature values are zero. Sparse encoders are often used to improve model interpretability, efficiency, and generalization. They can be applied in various contexts, including traditional neural networks, autoencoders, and even transformer-based models. Key Characteristics of Sparse Encoders Sparsity in Representations : The model learns a feature representation where only a subset of neurons is active for a given input. This mimics how biological neurons operate, promoting interpretability and reducing noise in representations. Reduced Computational Cost : Sparse operations often result in lower computational overhead since...
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The logs of the kubelet service

The logs of the kubelet service can be found depending on how the system is set up. Here are the most common locations: 1. Systemd Logs If your system uses systemd to manage services (most modern Linux distributions do), you can view the kubelet logs using journalctl : View Real-time Logs: sudo journalctl -u kubelet -f View Historical Logs: sudo journalctl -u kubelet 2. Log File on Disk On some systems, kubelet writes its logs to a file in /var/log . The exact location depends on the configuration: Common Locations : /var/log/kubelet.log /var/lib/kubelet/logs If the log file is not there, check the kubelet service configuration for custom log paths. 3. Kubernetes Configuration Flags The kubelet log location can be customized using the --log-dir or --log-file flags in the kubelet service configuration. To verify: Check the kubelet service file: cat /etc/systemd/system/kubelet .service .d / 10 -kubeadm.conf Look for logging-related flags, such as: Exec...
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