"$@"

# Stop when "xargs" is not available.
if ! command -v xargs >/dev/null 2>&1
then
    die "xargs is not available"
fi

# Use "xargs" to parse quoted args.
#
# With -n1 it outputs one arg per line, with the quotes and backslashes removed.
#
# In Bash we could simply go:
#
#   readarray ARGS < <( xargs -n1 <<<"$var" ) &&
#   set -- "${ARGS[@]}" "$@"
#

fi
# VERY basic check to ensure the [and-cuda] package variant is installable.
# Checks TFCI_BAZEL_COMMON_ARGS for "gpu" or "cuda", implying that the test is
# relevant. All of the GPU test machines have CUDA installed via other means,
# so I am not sure how to verify that the dependencies themselves are valid for
# the moment.
if [[ "$TFCI_BAZEL_COMMON_ARGS" =~ gpu|cuda ]]; then
  echo "Checking to make sure tensorflow[and-cuda] is installable..."

	first_time=$(find ${WORK_DIR}/ | grep format.json | wc -l)

	start_port=$2
	args=""
	for d in $(seq 1 3 5); do
		args="$args http://127.0.0.1:$((start_port + 1))${WORK_DIR}/1/${d}/ http://127.0.0.1:$((start_port + 2))${WORK_DIR}/2/${d}/ http://127.0.0.1:$((start_port + 3))${WORK_DIR}/3/${d}/ "
		d=$((d + 1))

function start_minio_3_node() {
	export MINIO_ROOT_USER=minio
	export MINIO_ROOT_PASSWORD=minio123
	export MINIO_ERASURE_SET_DRIVE_COUNT=6
	export MINIO_CI_CD=1

	start_port=$2
	args=""
	for i in $(seq 1 3); do

	unset MINIO_KMS_AUTO_ENCRYPTION # do not auto-encrypt objects
	unset MINIO_CI_CD
	unset CI

	args=()
	for i in $(seq 1 4); do
		args+=("http://localhost:$((start_port + i))${WORK_DIR}/mnt/disk$i/ ")
	done

	for i in $(seq 1 4); do
		"${MINIO[@]}" --address ":$((start_port + i))" ${args[@]} 2>&1 >"${WORK_DIR}/server$i.log" &
	done

	# Wait until all nodes return 403
	for i in $(seq 1 4); do

  # replace tensorflow to tf_nightly in the wheel name
  export TFCI_BUILD_PIP_PACKAGE_ARGS="$(echo $TFCI_BUILD_PIP_PACKAGE_ARGS | sed 's/tensorflow/tf_nightly/')"
fi

tfrun bazel build $TFCI_BAZEL_COMMON_ARGS //tensorflow/tools/pip_package:wheel $TFCI_BUILD_PIP_PACKAGE_ARGS
tfrun find ./bazel-bin/tensorflow/tools/pip_package -iname "*.whl" -exec cp {} $TFCI_OUTPUT_DIR \;

if [[ "$TFCI_NIGHTLY_UPDATE_VERSION_ENABLE" == 1 ]]; then
  tfrun python3 tensorflow/tools/ci_build/update_version.py --nightly
fi

tfrun bazel $TFCI_BAZEL_BAZELRC_ARGS test $TFCI_BAZEL_COMMON_ARGS --config=linux_libtensorflow_test
tfrun bazel $TFCI_BAZEL_BAZELRC_ARGS build $TFCI_BAZEL_COMMON_ARGS --config=linux_libtensorflow_build

tfrun ./ci/official/utilities/repack_libtensorflow.sh "$TFCI_OUTPUT_DIR" "$TFCI_LIB_SUFFIX"

source "${BASH_SOURCE%/*}/utilities/setup.sh"

if [[ $TFCI_PYCPP_SWAP_TO_BUILD_ENABLE == 1 ]]; then
   tfrun bazel build $TFCI_BAZEL_COMMON_ARGS --profile "$TFCI_OUTPUT_DIR/profile.json.gz" --config="${TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX}_pycpp_test"
else
   tfrun bazel test $TFCI_BAZEL_COMMON_ARGS --profile "$TFCI_OUTPUT_DIR/profile.json.gz" --config="${TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX}_pycpp_test"
fi

  docker pull "$TFCI_DOCKER_IMAGE"
fi 

if [[ "$TFCI_DOCKER_REBUILD_ENABLE" == 1 ]]; then
  DOCKER_BUILDKIT=1 docker build --cache-from "$TFCI_DOCKER_IMAGE" -t "$TFCI_DOCKER_IMAGE" $TFCI_DOCKER_REBUILD_ARGS
  if [[ "$TFCI_DOCKER_REBUILD_UPLOAD_ENABLE" == 1 ]]; then
    docker push "$TFCI_DOCKER_IMAGE"
  fi
fi

# Keep the existing "tf" container if it's already present.

           properties="$properties -Dfess.${1#--}=$2"
           shift 2
           ;;
      *) ARGV="$ARGV $1" ; shift
    esac
done

# Parse any command line options.
args=`getopt vdhp:D:X: $ARGV`
eval set -- "$args"

while true; do
    case $1 in
        -v)
            "$JAVA" $FESS_JAVA_OPTS $fess_parms -cp "$FESS_CLASSPATH" $props \
                    org.codelibs.fess.Version
            exit 0