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" %*

<font color="#4E9A06">INFO</font>:     Application startup complete.
```

</div>

En el resultado, hay una línea con algo como:

```hl_lines="4"
INFO:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
```

Esa línea muestra la URL donde tu aplicación está siendo servida, en tu máquina local.

### Compruébalo

# o rdbDiXmlResourceName: (NotRequired - Default 'rdb.xml')
#
# {CSharp} Quill(CSharp Seasar) Only:
# o quillDataSourceName: (NotRequired - Default null)
#
# *The line that starts with '#' means comment-out.
#
map:{
    # ====================================================================================
    #                                                                               Spring

```Python
from myapp import app

# Some more code
```

in that case, the automatically created variable inside of `myapp.py` will not have the variable `__name__` with a value of `"__main__"`.

So, the line:

```Python
    uvicorn.run(app, host="0.0.0.0", port=8000)
```

will not be executed.

/// info

     * Default constructor.
     */
    public NotificationHelper() {
        // Default constructor
    }

    private static final Logger logger = LogManager.getLogger(NotificationHelper.class);

    /** Line feed character for message formatting. */
    protected static final char LF = '\n';

    /**
     * Sends notifications to configured platforms.
     *
     * @param cardView the card view for the notification

```
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")
```

Alternatively, if you don't have a way to provide a command line option like `--root-path` or equivalent, you can set the `root_path` parameter when creating your FastAPI app:

{* ../../docs_src/behind_a_proxy/tutorial002.py hl[3] *}

Passing the `root_path` to `FastAPI` would be the equivalent of passing the `--root-path` command line option to Uvicorn or Hypercorn.

### About `root_path` { #about-root-path }

# o relationalNullObjectMap: (NotRequired - Default map:{})
# o cursorSelectFetchSize: (NotRequired - Default null)
# o refreshMap: (NotRequired - Default map:{})
# o optimisticLockMap: (NotRequired - Default map:{})
#
# *The line that starts with '#' means comment-out.
#
map:{
    # /- - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    # o isAvailableAddingSchemaToTableSqlName: (NotRequired - Default false)
    #   [true]

import java.util.Collection;
import java.util.Collections;
import java.util.LinkedHashMap;
import java.util.Map;

/**
 * Represents the location of an element within a model source file.
 * <p>
 * This class tracks the line and column numbers of elements in source files like POM files.
 * It's used for error reporting and debugging to help identify where specific model elements
 * are defined in the source files.
 *
 * @since 4.0.0
 */

        }
    }

    /**
     * Processes all thread information and sends it to the provided consumer.
     *
     * @param writer the consumer that will handle each line of thread dump output
     */
    public static void processThreadDump(final Consumer<String> writer) {
        for (final Map.Entry<Thread, StackTraceElement[]> entry : Thread.getAllStackTraces().entrySet()) {