echo "Running container(s) found" && \
            docker stop $running_containers;
          fi
          docker container prune -f
      - name: Clean repository
        shell: bash
        run: find /home/ubuntu/actions-runner/_work/tensorflow/tensorflow/. -name . -o -prune -exec sudo rm -rf -- {} + || true
      - name: Checkout repository
        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2

<font color="#3465A4">INFO    </font> Resolved absolute path <font color="#75507B">/home/user/code/awesomeapp/</font><font color="#AD7FA8">main.py</font>
<font color="#3465A4">INFO    </font> Searching for package file structure from directories with <font color="#3465A4">__init__.py</font> files
<font color="#3465A4">INFO    </font> Importing from <font color="#75507B">/home/user/code/</font><font color="#AD7FA8">awesomeapp</font>

call:convertxm %FESS_MIN_MEM% JVM_XMS
call:convertxm %FESS_MAX_MEM% JVM_XMX

CALL "%FESS_HOME%\bin\fess.in.bat"

rem thread stack size
set JVM_SS=256

fi

# Sets the default values for fess variables used in this script
PROC_NAME=org.codelibs.fess.FessBoot
FESS_USER="${packaging.fess.user}"
FESS_GROUP="${packaging.fess.group}"
FESS_HOME="${packaging.fess.home.dir}"
PID_DIR="${packaging.fess.pid.dir}"

# Source the default env file
FESS_ENV_FILE="${packaging.env.file}"
if [ -f "$FESS_ENV_FILE" ]; then
    . "$FESS_ENV_FILE"
fi

exec="$FESS_HOME/bin/fess"

  <dependencies>
    <dependency>
      <groupId>com.sun</groupId>
      <artifactId>tools</artifactId>
      <version>1.4.2</version>
      <scope>system</scope>
      <systemPath>${jre.home}/../lib/tools.jar</systemPath>
    </dependency>
  </dependencies>

  <build>
    <plugins>
      <plugin>
        <groupId>org.apache.maven.its.plugins</groupId>

]
interface samr
{
	import "../rpc.idl";
	import "lsarpc.idl";

	typedef [v1_enum] enum {
		ACB_DISABLED               = 0x00000001, /* 1 = User account disabled */
		ACB_HOMDIRREQ              = 0x00000002, /* 1 = Home directory required */
		ACB_PWNOTREQ               = 0x00000004, /* 1 = User password not required */
		ACB_TEMPDUP                = 0x00000008, /* 1 = Temporary duplicate account */

set FESS_CLASSPATH=%FESS_HOME%\lib\classes
set FESS_JAVA_OPTS=%FESS_JAVA_OPTS% -Dfess
set FESS_JAVA_OPTS=%FESS_JAVA_OPTS% -Des-foreground=yes
set FESS_JAVA_OPTS=%FESS_JAVA_OPTS% -Dfess.home="%FESS_HOME%"
set FESS_JAVA_OPTS=%FESS_JAVA_OPTS% -Dfess.es.dir="%SEARCH_ENGINE_HOME%"
set FESS_JAVA_OPTS=%FESS_JAVA_OPTS% -Dfess.context.path=/
set FESS_JAVA_OPTS=%FESS_JAVA_OPTS% -Dfess.port=8080

        if (mavenUserConf != null) {
            return Paths.get(mavenUserConf, FILE_NAME);
        }
        // this means we are in UT or alike
        return Paths.get(System.getProperty("user.home"), ".m2", FILE_NAME);
    }

            docker stop $running_containers;
          fi
          docker container prune -f
          docker image prune -af
      - name: Clean repository
        shell: bash
        run: find /home/ubuntu/actions-runner/_work/tensorflow/tensorflow/. -name . -o -prune -exec sudo rm -rf -- {} + || true
      - name: Checkout repository for nightly (skipped for releases)
        if: ${{ github.event_name == 'schedule' }}

### Create a backup job

#### Backup Virtual Machines with Veeam Backup and Replication

- Under Home > Jobs > Backup in Navigation Pane, click on Backup Job button in the ribbon and choose Virtual Machine. Follow the on screen wizard.

- On the Storage screen, choose the Scale-out Backup Repository that was configured previously.