fmt.Printf("%q\n", word)
	}

	// Output:
	// Split byte slice into fields:
	// "The"
	// "quick"
	// "brown"
	// "fox"
	//
	// Split byte slice with multiple spaces:
	// "lots"
	// "of"
	// "spaces"
}

func ExampleFieldsFuncSeq() {
	text := []byte("The quick brown fox")
	fmt.Println("Split on whitespace(similar to FieldsSeq):")

  </a>
</div>


## 🐘 **Gradle Build Tool** 

</dependency>
```

See [Maven Central](https://repo1.maven.org/maven2/org/codelibs/curl4j/) for available versions.

### Gradle

```groovy
implementation 'org.codelibs:curl4j:x.y.z'
```

## Quick Start

### Synchronous request

```java
import org.codelibs.curl.Curl;
import org.codelibs.curl.CurlResponse;

try (CurlResponse response = Curl.get("https://example.com")

import com.google.caliper.Benchmark;
import com.google.caliper.Param;
import com.google.caliper.api.SkipThisScenarioException;
import java.util.List;
import org.jspecify.annotations.NullUnmarked;

/**
 * Quick and dirty benchmark of {@link Throwables#lazyStackTrace(Throwable)}. We benchmark a "caller
 * finder" implementation that might be used in a logging framework.
 */
@NullUnmarked
public class LazyStackTraceBenchmark {

import com.google.caliper.Benchmark;
import com.google.caliper.Param;
import com.google.caliper.api.SkipThisScenarioException;
import java.util.List;
import org.jspecify.annotations.NullUnmarked;

/**
 * Quick and dirty benchmark of {@link Throwables#lazyStackTrace(Throwable)}. We benchmark a "caller
 * finder" implementation that might be used in a logging framework.
 */
@NullUnmarked
public class LazyStackTraceBenchmark {

    promoteTask = "promoteSnapshot",
    extraParameters = "-PpromotedBranch=%branch.qualifier%",
) {
    init {
        id("Promotion_PublishBranchSnapshotFromQuickFeedback")
        name = "Publish Branch Snapshot (from Quick Feedback)"
        description = "Deploys a new distribution snapshot for the selected build/branch. Does not update master or the documentation."

        val triggerName = this.triggerName

        params {

# CLAUDE.md - Fess Crawler Development Guide

Quick reference for AI assistants working on the Fess Crawler project.

## Project Overview

**Fess Crawler** is a Java-based web crawling framework for enterprise content extraction.

### Essential Info

- **Language**: Java 21+
- **Build**: Maven 3.x
- **License**: Apache 2.0
- **DI**: LastaFlute DI
- **Repo**: https://github.com/codelibs/fess-crawler

### Tech Stack

# This env is only valid when RBE is available on the selected platform, since
# it enables a derived --config setting.  If RBE is not available (i.e. there
# is no --config setting), bazel would fail and quit. This script does a quick
# check This script checks for such errors early
if ! grep "rbe_$TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX" .bazelrc; then
  cat <<EOF
ERROR: RBE was enabled via the 'rbe' env in the 'TFCI' variable.
       TFCI: $TFCI

jstream.KV{desc CMYK}
jstream.KV{colors [cyan magenta yellow black]}
```

## Installing 

```bash
go get github.com/bcicen/jstream
```

## Commandline

`jstream` comes with a cli tool for quick viewing of parsed values from JSON input:

```bash
jstream -d 1 < input.json
```

```json
{"colors":["red","green","blue"],"desc":"RGB"}
{"colors":["cyan","magenta","yellow","black"],"desc":"CMYK"}
```

# KMS IAM/Config Encryption

MinIO supports encrypting config, IAM assets with KMS provided keys. If the KMS is not enabled, MinIO will store the config, IAM data as plain text erasure coded in its backend.

## MinIO KMS Quick Start

MinIO supports two ways of encrypting IAM and configuration data.
You can either use KES - together with an external KMS - or, much simpler,