exit_1
fi
count2=$(./mc ls minio1/test-bucket/mpartobj --insecure | wc -l)
if [ "${count2}" -ne 1 ]; then
	echo "BUG: object minio1/test-bucket/mpartobj not found"
	exit_1
fi
count3=$(./mc ls minio1/test-bucket/defpartsize --insecure | wc -l)
if [ "${count3}" -ne 1 ]; then
	echo "BUG: object minio1/test-bucket/defpartsize not found"
	exit_1
fi

	echo "usage: GOOS=os GOARCH=arch ./bootstrap.bash [-force]" >&2
	exit 2
fi

forceflag=""
if [ "$1" = "-force" ]; then
	forceflag=-force
	shift
fi

targ="../../go-${GOOS}-${GOARCH}-bootstrap"
if [ -e $targ ]; then
	echo "$targ already exists; remove before continuing"
	exit 2
fi

unset GOROOT
src=$(cd .. && pwd)
echo "#### Copying to $targ"
cp -Rp "$src" "$targ"
cd "$targ"

  # Do a sanity check to make sure that we using the correct Python version
  python --version
fi

# TFCI Mac VM images do not have twine installed by default so we need to
# install it manually. We use Twine in nightly builds to upload Python packages
# to PyPI.
if [[ "$TFCI_MACOS_TWINE_INSTALL_ENABLE" == 1 ]]; then
  pip install twine==3.6.0
fi

# Scheduled nightly and release builds upload build artifacts (Pip packages,

  tfrun nvidia-smi
fi

# Update the version numbers for Nightly only
if [[ "$TFCI_NIGHTLY_UPDATE_VERSION_ENABLE" == 1 ]]; then
  tfrun python3 tensorflow/tools/ci_build/update_version.py --nightly
  # replace tensorflow to tf_nightly in the wheel name
  export TFCI_BUILD_PIP_PACKAGE_ARGS="$(echo $TFCI_BUILD_PIP_PACKAGE_ARGS | sed 's/tensorflow/tf_nightly/')"
fi

  docker pull "$TFCI_DOCKER_IMAGE" || sleep 15
  docker pull "$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.

  # other than the most recently-modified one (the newest one).
  mkdir -p $TFCI_OUTPUT_DIR/extra_wheels
  ls -t *.whl | tail -n +2 | xargs mv -t $TFCI_OUTPUT_DIR/extra_wheels
fi

# Repair wheels with auditwheel and delete the old one.
if [[ "$TFCI_WHL_AUDIT_ENABLE" == "1" ]]; then
  python3 -m auditwheel repair --plat "$TFCI_WHL_AUDIT_PLAT" --wheel-dir . *.whl

# Record GPU count and CUDA version status
if [[ "$TFCI_NVIDIA_SMI_ENABLE" == 1 ]]; then
  tfrun nvidia-smi
fi

# Update the version numbers for Nightly only
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

        JAVACMD=$JAVA_HOME/jre/sh/java
    else
        JAVACMD=$JAVA_HOME/bin/java
    fi
    if [ ! -x "$JAVACMD" ] ; then
        die "ERROR: JAVA_HOME is set to an invalid directory: $JAVA_HOME

Please set the JAVA_HOME variable in your environment to match the
location of your Java installation."
    fi
else
    JAVACMD=java
    if ! command -v java >/dev/null 2>&1
    then

if [ "x$APP_NAME" = "x" ]; then
  APP_NAME=fess
fi
if [ "x$SEARCH_ENGINE_HOME" = "x" ]; then
  SEARCH_ENGINE_HOME=$FESS_HOME/es
fi
if [ "x$FESS_TEMP_PATH" = "x" ]; then
  FESS_TEMP_PATH=$FESS_HOME/temp
fi
if [ "x$FESS_LOG_PATH" = "x" ]; then
  FESS_LOG_PATH=$FESS_HOME/logs
fi
if [ "x$FESS_LOG_LEVEL" = "x" ]; then
  FESS_LOG_LEVEL=warn
fi
if [ "x$FESS_PORT" = "x" ]; then
  FESS_PORT=8080
fi

check_command() {
  cmd=$1
  cmd_path=$(command -v "${cmd}")
  if [[ ! -e "${cmd_path}" ]] ; then
    echo "${cmd} does not exist."
    exit 1
  fi
}

if [[ x"$HOME" = "x/root" ]] ; then
  HOME=/var/lib/fess
fi

if [[ x"${cmd_type}" = "xmsoffice" ]] ; then
  check_command convert
  check_command pdftoppm
  check_command unoconv
  tmp_pdf_file=/tmp/thumbnail.$$.pdf