esac
fi

# Collect all arguments for the java command, stacking in reverse order:
#   * args from the command line
#   * the main class name
#   * -classpath
#   * -D...appname settings
#   * --module-path (only if needed)
#   * DEFAULT_JVM_OPTS, JAVA_OPTS, and GRADLE_OPTS environment variables.

# For Cygwin or MSYS, switch paths to Windows format before running java

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" %*

:end
@rem End local scope for the variables with windows NT shell
if %ERRORLEVEL% equ 0 goto mainEnd

:fail

		// object SparkJSONRead {
		//   def main(args: Array[String]): Unit = {
		//     val spark:SparkSession = SparkSession.builder()
		//       .appName("SparkByExample")
		//       .master("local[1]").getOrCreate()
		//
		//     spark.sparkContext.setLogLevel("ERROR")
		//     spark.sparkContext.hadoopConfiguration.set("fs.s3a.endpoint", "http://minio-lb:9000")

///

Then, when you create an instance of that `Settings` class (in this case, in the `settings` object), Pydantic will read the environment variables in a case-insensitive way, so, an upper-case variable `APP_NAME` will still be read for the attribute `app_name`.

Next it will convert and validate the data. So, when you use that `settings` object, you will have data of the types you declared (e.g. `items_per_user` will be an `int`).

  <uses-permission android:name="android.permission.INTERNET" />

  <application
    android:allowBackup="true"
    android:label="@string/app_name"
    android:supportsRtl="true"
    android:name=".TestApplication"
  >
    <activity
      android:name=".MainActivity"
      android:exported="true">
      <intent-filter>

	var apiName string
	switch event {
	case ILMExpiry:
		apiName = "ILMExpiry"
	case ILMFreeVersionDelete:
		apiName = "ILMFreeVersionDelete"
	case ILMTransition:
		apiName = "ILMTransition"
	}
	auditLogInternal(ctx, AuditLogOptions{
		Event:     event,
		APIName:   apiName,
		Bucket:    oi.Bucket,
		Object:    oi.Name,

            }
        }
        return resList;
    }

    protected static List<Map<String, Object>> readLogItems(final String apiName) {
        final Map<String, Object> searchBody = new HashMap<>();
        final String response = checkMethodBase(searchBody).get("/api/admin/" + apiName + "/logs").asString();
        final List<Map<String, Object>> itemList = JsonPath.from(response).getList("response.logs");

	return nil
}

func auditLogDecom(ctx context.Context, apiName, bucket, object, versionID string, err error) {
	errStr := ""
	if err != nil {
		errStr = err.Error()
	}
	auditLogInternal(ctx, AuditLogOptions{
		Event:     "decommission",
		APIName:   apiName,
		Bucket:    bucket,
		Object:    object,
		VersionID: versionID,
		Error:     errStr,
	})

	return z.rebalMeta.saveWithOpts(ctx, z.serverPools[0], noLockOpts)
}

func auditLogRebalance(ctx context.Context, apiName, bucket, object, versionID string, err error) {
	errStr := ""
	if err != nil {
		errStr = err.Error()
	}
	auditLogInternal(ctx, AuditLogOptions{
		Event:     "rebalance",
		APIName:   apiName,
		Bucket:    bucket,
		Object:    object,
		VersionID: versionID,
		Error:     errStr,
	})
}

					stopFn(result, err)
					batchLogIf(ctx, err)
					success = false
					if attempts >= retryAttempts {
						auditOptions := AuditLogOptions{
							Event:     "KeyRotate",
							APIName:   "StartBatchJob",
							Bucket:    result.Bucket,
							Object:    result.Name,
							VersionID: result.VersionID,
							Error:     err.Error(),
						}
						auditLogInternal(ctx, auditOptions)
					}