echo. 1>&2
echo Please set the JAVA_HOME variable in your environment to match the 1>&2
echo location of your Java installation. 1>&2

goto fail

:execute
@rem Setup the command line

set CLASSPATH=


@rem Execute Gradle
"%JAVA_EXE%" %DEFAULT_JVM_OPTS% %JAVA_OPTS% %GRADLE_OPTS% "-Dorg.gradle.appname=%APP_BASE_NAME%" -classpath "%CLASSPATH%" -jar "%APP_HOME%\gradle\wrapper\gradle-wrapper.jar" %*

      when {
        key == this.key -> next // Subtract this!

        else -> {
          val nextMinusKey = next.plus(key, null)
          when {
            nextMinusKey === next -> this // Same as the following line, but with fewer allocations.
            else -> LinkedTags(this.key, this.value, nextMinusKey)
          }
        }
      }

    // Return a new `Tags` that maps `key` to `value`.
    return when {

                    if (problem.getLineNumber() > 0) {
                        if (!location.isEmpty()) {
                            location += ", ";
                        }
                        location += "line " + problem.getLineNumber();
                    }
                    if (problem.getColumnNumber() > 0) {
                        if (!location.isEmpty()) {
                            location += ", ";

///

## Múltiples Workers { #multiple-workers }

Puedes iniciar múltiples workers con la opción de línea de comando `--workers`:

//// tab | `fastapi`

Si usas el comando `fastapi`:

<div class="termy">

```console

```python
import json

with open('documents.json', 'r') as infile, \
     open('fess-documents.json', 'w') as outfile:
    for line in infile:
        doc = json.loads(line)

        # Transform to Fess format
        fess_doc = {
            "url": doc.get("url", ""),
            "title": doc.get("title", ""),
            "content": doc.get("content", ""),

```
scala> val file = sc.textFile("s3a://testbucket/testdata")
file: org.apache.spark.rdd.RDD[String] = s3a://testbucket/testdata MapPartitionsRDD[1] at textFile at <console>:24

scala> val counts = file.flatMap(line => line.split(" ")).map(word => (word, 1)).reduceByKey(_ + _)
counts: org.apache.spark.rdd.RDD[(String, Int)] = ShuffledRDD[4] at reduceByKey at <console>:25

scala> counts.saveAsTextFile("s3a://testbucket/wordcount")
```

     * This method is called automatically after dependency injection is complete.
     * The mappings are loaded from the index filetype configuration property,
     * where each line contains a MIME type to file type mapping in the format "mimetype=filetype".
     */
    @PostConstruct
    public void init() {
        StreamUtil.split(ComponentUtil.getFessConfig().getIndexFiletype(), "\n")

```

### Running
```bash
# From IDE: Run main method in org.codelibs.fess.FessBoot
# Access at: http://localhost:8080/
# Admin UI: http://localhost:8080/admin/ (admin/admin)

# From command line (after building)
./bin/fess
```

### Code Formatting
```bash
# Format code
mvn formatter:format

# Add license headers
mvn license:format
```

## Tech Stack

          <type>String</type>
        </field>
        <field>
          <version>1.0.0</version>
          <name>cliOptions</name>
          <description>The command-line switches used to change the value of this expression.</description>
          <type>Properties</type>
          <association xml.mapStyle="explode">
            <type>String</type>
            <multiplicity>*</multiplicity>

* el proveedor de autenticación
* la autorización
* el formulario de autorización
* el proveedor de autorización
* el usuario se autentica
* el sistema autentica al usuario

* la CLI
* la interfaz de línea de comandos

* el servidor
* el cliente

* el proveedor en la nube
* el servicio en la nube

* el desarrollo
* las etapas de desarrollo

* el dict
* el diccionario
* la enumeración