__init__() {
	if which curl &>/dev/null; then
		echo "curl is already installed"
	else
		echo "Installing curl:"
		sudo apt install curl -y
	fi

	export GOPATH=/tmp/gopath
	export PATH="${PATH}":"${GOPATH}"/bin

	if which mc &>/dev/null; then
		echo "mc is already installed"
	else
		echo "Installing mc:"
		go install github.com/minio/mc@latest
	fi

	if [ ! -x ./minio.${OLD_VERSION} ]; then

  else
    echo curl is not installed, will try wget for downloading files.
  fi

  # Try wget.
  if command -v wget > /dev/null; then
    DOWNLOAD_COMMAND="wget -qO -"
    return
  fi
  echo wget is not installed.

  echo Error: curl is not installed or does not support https, wget is not installed. \
       Cannot download envoy. Please install wget or add support of https to curl.
  exit 1
}

This container branches off from
/tensorflow/tools/tf_sig_build_dockerfiles/. However, since
hermetic CUDA and hermetic Python is now available for Tensorflow, a lot of the
requirements installed on the original container can be removed to reduce the
footprint of the container and make it more reusable across different ML

		// the CNI binary installed.
		if err = installer.Run(ctx); err != nil {
			if errors.Is(err, context.Canceled) || errors.Is(err, context.DeadlineExceeded) {
				log.Infof("installer complete: %v", err)
				// Error was caused by interrupt/termination signal
				err = nil
			} else {
				log.Errorf("installer failed: %v", err)
			}
		}

		if cleanErr := installer.Cleanup(); cleanErr != nil {
			if err != nil {

# extglob is necessary for @(a|b) pattern matching
# see "extglob" in the bash manual page ($ man bash)
bash -O extglob -c "/$1/bin/pip install $2"

## Prerequisites

Please make sure the following packages are already installed via `dnf` or `apt`: 

- `tuned`
- `curl`

### Install `tuned.conf` performance profile

#### Step 1 - download `tuned.conf` from the referenced link
```
wget https://raw.githubusercontent.com/minio/minio/master/docs/tuning/tuned.conf
```

#### Step 2 - install tuned.conf as supported performance profile on all nodes
```

# different compilation methods. E.g. for a PR to test a new CUDA version, set
# the CACHEBUSTER to the PR number.
build --action_env=CACHEBUSTER=20220325

# Use Python 3.X as installed in container image
build --action_env PYTHON_BIN_PATH="/usr/local/bin/python3"
build --python_path="/usr/local/bin/python3"

# Build TensorFlow v2
build --define=tf_api_version=2 --action_env=TF2_BEHAVIOR=1

app = FastAPI()


class CustomORJSONResponse(Response):
    media_type = "application/json"

    def render(self, content: Any) -> bytes:
        assert orjson is not None, "orjson must be installed"
        return orjson.dumps(content, option=orjson.OPT_INDENT_2)


@app.get("/", response_class=CustomORJSONResponse)
async def main():

# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================

# Need a newer version of patchelf as the installed version is buggy in 20.04
# so get patchelf source from 22.04 ie 'jammy' and build it to avoid dependency
# problems that would occur with a binary package

mkdir -p /patchelf
cd /patchelf

import org.lastaflute.web.Execute;
import org.lastaflute.web.response.JsonResponse;

public class ApiAdminPluginAction extends FessApiAdminAction {

    // GET /api/admin/plugin/installed
    @Execute
    public JsonResponse<ApiResult> get$installed() {
        final List<Map<String, String>> list = getAllInstalledArtifacts();
        return asJson(new ApiResult.ApiPluginResponse().plugins(list).status(ApiResult.Status.OK).result());
    }