* - Test the output:
     * --- cat testcases | while read L; do
     *       X=($L)
     *       A=$( cd /b/c && sudo mkdir -p ${X[0]} && cd ${X[0]} && pwd |
     *           sed -e 's#^//*#/#' )
     *       B=$( cd /b/c && cd ${X[1]} && pwd )
     *       cmp -s <(echo $A) <(echo $B) || echo "$X[0] -> $A vs. $B"
     *     done | tee testoutput
     * - Move that testcases file to the appropriate name under testdata.

    SCRIPT="$link"
  else
    SCRIPT=`dirname "$SCRIPT"`/"$link"
  fi
done

# determine fess home
FESS_HOME=`dirname "$SCRIPT"`/..

# make FESS_HOME absolute
FESS_HOME=`cd "$FESS_HOME"; pwd`


# If an include wasn't specified in the environment, then search for one...
if [ "x$FESS_INCLUDE" = "x" ]; then
    # Locations (in order) to use when searching for an include file.

# shellcheck disable=SC2034
APP_BASE_NAME=${0##*/}
# Discard cd standard output in case $CDPATH is set (https://github.com/gradle/gradle/issues/25036)
APP_HOME=$( cd -P "${APP_HOME:-./}" > /dev/null && printf '%s\n' "$PWD" ) || exit

# Use the maximum available, or set MAX_FD != -1 to use that value.
MAX_FD=maximum

warn () {
    echo "$*"
} >&2

die () {
    echo
    echo "$*"
    echo
    exit 1
} >&2

	echo "minio4 ============"
	cat /tmp/minio4_1.log
	exit 1
}

cleanup() {
	echo -n "Cleaning up instances of MinIO ..."
	pkill -9 minio || sudo pkill -9 minio
	pkill -9 kes || sudo pkill -9 kes
	rm -rf ${PWD}/keys
	rm -rf /tmp/minio{1,2,3,4}
	echo "done"
}

cleanup

export MINIO_CI_CD=1
export MINIO_BROWSER=off
export MINIO_ROOT_USER="minio"
export MINIO_ROOT_PASSWORD="minio123"

    // Patterns for sensitive data - compiled once and cached
    private static final Pattern PASSWORD_PATTERN = Pattern.compile(
            "(?i)(password|passwd|pwd|secret|token|key|credential|auth)([\"']?\\s*[:=]\\s*[\"']?)([^\"',\\s]+)", Pattern.CASE_INSENSITIVE);

    private static final Pattern IP_PATTERN = Pattern.compile("\\b(?:[0-9]{1,3}\\.){3}[0-9]{1,3}\\b");

    once you get into the running container so `bazel` can find the `tensorflow`
    workspace).

    you can do this by using the following command. As an example-

    ```bash
    docker run -it --rm -v $PWD:/tmp -w /tmp tensorflow/build:2.15-python3.10
    ```

    Once you have the packages installed, you can run a specific unit test in
    bazel by doing as follows:

    ```bash