<groupId>junit</groupId>
			<artifactId>junit</artifactId>
			<version>${junit.version}</version>
			<scope>test</scope>
		</dependency>
		<dependency>
			<groupId>org.codelibs</groupId>
			<artifactId>analyzers</artifactId>
			<version>${lucene.version}.0</version>
			<scope>test</scope>
		</dependency>
		<dependency>
			<groupId>org.apache.lucene</groupId>
			<artifactId>lucene-analysis-kuromoji</artifactId>

    /**
     * Indicates whether the model building should happen in two phases. If enabled, the initial invocation of the model
     * builder will only produce an interim result which may be used to analyze inter-model dependencies before the
     * final invocation of the model builder is performed.
     *
     * @return {@code true} if two-phase building is enabled, {@code false} if the model should be built in a single

検索/インデックスアナライザーの設定については、[doc.json](https://github.com/codelibs/fess/blob/master/src/main/resources/fess_indices/fess/doc.json)に言語別の`lang\_[lang]`が含まれているか確認し、その言語に合わせてアナライザーを修正してください。アナライザーに関する詳細は、[OpenSearchのドキュメント](https://opensearch.org/docs/latest/analyzers/search-analyzers/)を参照してください。

私たちは、あなたの言語でのプルリクエストを歓迎します。

### 翻訳

- [English](../../README.md)
- [简体中文 (Simplified Chinese)](../zh-CN/README.md)
- [Español (Spanish)](../es/README.md)

        val manifestFile = tempDirectory.resolve("MANIFEST.MF")
        val buildReceiptFile = tempDirectory.resolve("build-receipt.properties")
        val classGraph = JarAnalyzer("", keepClasses, keepClasses, setOf()).analyze(artifact, classesDir, manifestFile, buildReceiptFile)

        createJar(classGraph, classesDir, manifestFile, jarFile)

        return jarFile
    }

    private

    /**
     * Estimates the compression ratio for the given data and algorithm.
     * This can be used to decide whether compression is worthwhile.
     *
     * @param data the data to analyze
     * @param algorithm the compression algorithm
     * @return estimated compression ratio (0.0 to 1.0, where 0.5 means 50% size reduction)
     */
    double estimateCompressionRatio(byte[] data, int algorithm);

class JarAnalyzer(
    private val shadowPackage: String,
    private val keepPackages: Set<String>,
    private val unshadedPackages: Set<String>,
    private val ignorePackages: Set<String>
) {

    fun analyze(jarFile: File, classesDir: File, manifestFile: File, buildReceipt: File): ClassGraph {
        val classGraph = classGraph()

        val jarUri = URI.create("jar:${jarFile.toPath().toUri()}")

            "projectGraphReport",
            "ripples",
            "aggregateAdvice",
        ) -> true

        task.name.startsWithAnyOf(
            "advice",
            "analyzeClassUsage",
            "analyzeJar",
            "constantUsageDetector",
            "createVariantFiles",
            "findUnusedProcs",
            "generalsUsageDetector",
            "importFinder",
            "inlineMemberExtractor",

### SuggestSettings (Configuration)
Location: `src/main/java/org/codelibs/fess/suggest/settings/SuggestSettings.java`

Manages configuration stored in OpenSearch: analyzers, bad words, elevate words, timeouts.

### SuggestItem (Domain Entity)
Location: `src/main/java/org/codelibs/fess/suggest/entity/SuggestItem.java`

			continue
		}
		actualDisksName[foundDiskLoc] = disk.path
	}

	uuidMap, err := getDiskUUIDMap()
	if err != nil {
		log.Fatal("Unable to analyze UUID in /dev/disk/by-uuid/:", err)
	}

	mountMap, err := getMountMap()
	if err != nil {
		log.Fatal("Unable to parse /proc/self/mountinfo:", err)
	}

	for loc, expectedDiskName := range expectedDisksName {

* Conçue avec ces standards après une analyse méticuleuse. Plutôt qu'en rajoutant des surcouches après coup.
* Cela permet d'utiliser de la **génération automatique de code client** dans beaucoup de langages.

### Documentation automatique