* resolution, this does not include the download of the files for the dependency artifacts. It is meant for mojos
     * that only want to analyze the set of transitive dependencies, in particular during early lifecycle phases where
     * full dependency resolution might fail due to projects which haven't been built yet.
     *

    }

    /**
     * Determines the configuration type from a given config ID.
     * The config type is identified by the first character of the config ID.
     *
     * @param configId the configuration ID to analyze
     * @return the ConfigType (WEB, FILE, or DATA) or null if the config ID is invalid or doesn't match any known type
     */
    public ConfigType getConfigType(final String configId) {

Later you will see how **powerful** it can be.

/// tip

The fact that this is **standard Python** means that you will still get the **best possible developer experience** in your editor, with the tools you use to analyze and refactor your code, etc. ✨

And also that your code will be very compatible with many other Python tools and libraries. 🚀

///

## Type hints in **FastAPI** { #type-hints-in-fastapi }

import org.apache.maven.model.v4.MavenStaxReader;

/**
 * A utility class that analyzes Maven POM files to identify memory usage patterns and potential memory optimizations.
 * This analyzer focuses on identifying duplicate strings and their memory impact across different paths in the POM structure.
 *
 * <p>The analyzer processes POM files recursively, tracking string occurrences and their locations within the POM structure.

	}

	hip, errCode := extractHealInitParams(mux.Vars(r), r.Form, r.Body)
	if errCode != ErrNone {
		writeErrorResponseJSON(ctx, w, errorCodes.ToAPIErr(errCode), r.URL)
		return
	}

	// Analyze the heal token and route the request accordingly
	token, _, success := proxyRequestByToken(ctx, w, r, hip.clientToken, false)
	if success {
		return
	}
	hip.clientToken = token

                .put("analysis.analyzer.test_reading_analyzer_ja.type", "custom")
                .put("analysis.analyzer.test_reading_analyzer_ja.tokenizer", "keyword")
                .put("analysis.analyzer.test_reading_term_analyzer_ja.type", "custom")
                .put("analysis.analyzer.test_reading_term_analyzer_ja.tokenizer", "keyword")
                .build();

For search/index analyzer, if [doc.json](https://github.com/codelibs/fess/blob/master/src/main/resources/fess_indices/fess/doc.json) contains lang\_[lang] for your language, please modify the analyzer for your language. For more details about Analyzers, see the [OpenSearch documentation](https://opensearch.org/docs/latest/analyzers/search-analyzers/).

We welcome pull requests for your language.

Für den Such-/Index-Analyser: Wenn [doc.json](https://github.com/codelibs/fess/blob/master/src/main/resources/fess_indices/fess/doc.json) lang\_[lang] für Ihre Sprache enthält, passen Sie bitte den Analyser für Ihre Sprache an. Weitere Informationen zu Analysatoren finden Sie in der [OpenSearch-Dokumentation](https://opensearch.org/docs/latest/analyzers/search-analyzers/).

Wir begrüßen Pull-Requests für Ihre Sprache.

**Example for Swedish:**
```json
{
  "analysis": {
    "filter": {
      "swedish_stop": {
        "type": "stop",
        "stopwords": "_swedish_"
      },
      "swedish_stemmer": {
        "type": "stemmer",
        "language": "swedish"
      }
    },
    "analyzer": {
      "sv_analyzer": {
        "type": "custom",

          }
        }
      },
      {
        "lang_cs": {
          "match": "*_cs",
          "mapping": {
            "type": "text",
            "analyzer": "czech_analyzer"
          }
        }
      },
      {
        "lang_da": {
          "match": "*_da",
          "mapping": {
            "type": "text",
            "analyzer": "danish_analyzer"
          }
        }