* <abbr title="también conocido como: serialización, parsing, marshalling">Conversión</abbr> de datos de entrada: de la red a los datos y tipos de Python. Leyendo desde:
    * JSON.
    * Parámetros de path.
    * Parámetros de query.
    * Cookies.
    * Headers.
    * Forms.
    * Archivos.

         * @return The created query builder.
         */
        QueryBuilder buildQuery(String field, String text, float boost);
    }

    /**
     * Template method that handles the common pattern of query conversion:
     * 1. Check if field is DEFAULT_FIELD and apply default query builder
     * 2. Check if field is a search field and apply field-specific query
     * 3. Fall back to default query builder for unsupported fields
     *

import org.opensearch.index.query.QueryBuilder;
import org.opensearch.index.query.QueryBuilders;
import org.opensearch.search.sort.SortOrder;

/**
 * Command class for handling term query execution and conversion.
 * This class processes Lucene TermQuery objects and converts them to OpenSearch QueryBuilder instances.
 */
public class TermQueryCommand extends QueryCommand {

 *   <li><strong>Namespace Update</strong>: Changes namespace from Maven 4.0.0 to 4.1.0 for all elements</li>
 *   <li><strong>Schema Location Update</strong>: Updates xsi:schemaLocation to Maven 4.1.0 XSD</li>
 *   <li><strong>Module Conversion</strong>: Converts {@code <modules>} to {@code <subprojects>} and {@code <module>} to {@code <subproject>}</li>
 *   <li><strong>Model Version Update</strong>: Updates {@code <modelVersion>} to 4.1.0</li>
 * </ol>
 *

Esto significa que **cualquier valor** leído en Python desde una variable de entorno **será un `str`**, y cualquier conversión a un tipo diferente o cualquier validación tiene que hacerse en el código.

│   │   ├── SuggestIndexer.java     # Main indexing API
│   │   ├── contents/               # Content parsers and readers
│   │   └── writer/                 # Index writing strategies
│   ├── converter/                  # Text conversion utilities
│   ├── normalizer/                 # Text normalization
│   ├── analysis/                   # Custom analyzers
│   └── settings/                   # Configuration management
├── main/resources/

                readings.add(text.toUpperCase());
            } else {
                for (String lang : langs) {
                    if (japaneseMode && "ja".equals(lang)) {
                        // Simulate Japanese conversion
                        if ("東京".equals(text)) {
                            readings.add("トウキョウ");
                        } else {
                            readings.add(text.toUpperCase() + "_" + lang);

Это обеспечит поддержку редактора кода внутри функции (проверка ошибок, автозавершение и т.п.).

///

## <abbr title="также известное как: сериализация, парсинг, маршаллинг">Преобразование</abbr> данных { #data-conversion }

Если запустите этот пример и перейдёте по адресу: <a href="http://127.0.0.1:8000/items/3" class="external-link" target="_blank">http://127.0.0.1:8000/items/3</a>, то увидите ответ:

```JSON
{"item_id":3}
```

		t.Fatalf("Failed, got error: %v, rows affected: %v", result.Error, result.RowsAffected)
	}

	tx2.Commit()
	// Attempt to convert the connection pool of tx to the *gorm.PreparedStmtDB type.
	// If the conversion is successful, ok will be true and conn will be the converted object;
	// otherwise, ok will be false and conn will be nil.
	conn, ok := tx.ConnPool.(*gorm.PreparedStmtDB)

func isASCII(s string) bool {
	for _, c := range s {
		if c >= 0x80 || c == 0x00 {
			return false
		}
	}
	return true
}

// toASCII converts the input to an ASCII C-style string.
// This is a best effort conversion, so invalid characters are dropped.
func toASCII(s string) string {
	if isASCII(s) {
		return s
	}
	b := make([]byte, 0, len(s))
	for _, c := range s {
		if c < 0x80 && c != 0x00 {
			b = append(b, byte(c))