## Where are Packages Installed { #where-are-packages-installed }

# "TFCI_MACOS_PYENV_INSTALL_ENABLE" controls whether to use Pyenv to install
# the Python version set in "TFCI_PYTHON_VERSION" and use it as default.
# We enable this in the nightly and release builds because before uploading the
# wheels, we install them in a virtual environment and run some smoke tests on
# it. TFCI Mac VMs only have one Python version installed so we need to install
# the other versions manually.

Embedding a Java runtime in the distribution would provide some benefits, such as allowing the Launcher, Daemon and Workers to run on it, removing the prerequisite of an installed Java runtime.
However, this does not fully remove the prerequisite, as the Wrapper itself would still need an installed Java runtime to execute.

Gradle needs a solution that covers the use-case of starting the Wrapper itself as well given its importance.

# The RBE machine itself has older kernel mode driver, and it requires
# nvidia driver to be installed.
nvidia-driver-580-open
# TODO(b/445248346): The Docker image shouldn't have cuda-compat installed.
# However, hermetic CUDA forward-compatibility mode is still missing some
# libraries.

__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

    [FastAPI docs for Custom Response - HTML, Stream, File, others](https://fastapi.tiangolo.com/advanced/custom-response/).
    """

    def render(self, content: Any) -> bytes:
        assert ujson is not None, "ujson must be installed to use UJSONResponse"
        return ujson.dumps(content, ensure_ascii=False).encode("utf-8")


class ORJSONResponse(JSONResponse):
    """

## 1. Prerequisites

* Familiarity with [Docker Compose](https://docs.docker.com/compose/overview/).
* Docker installed on your machine. Download the relevant installer from [here](https://www.docker.com/community-edition#/download).

## 2. Run Distributed MinIO on Docker Compose

 * The local repository serves as a cache for downloaded remote artifacts and storage
 * for locally installed artifacts. This manager provides services to determine the
 * appropriate paths for artifacts within the local repository structure.
 *
 * <p>The LocalRepositoryManager is responsible for:
 * <ul>
 *   <li>Determining the storage path for locally installed artifacts</li>
 *   <li>Managing the layout and organization of cached remote artifacts</li>

### Installing xl-meta

To install, [Go](https://golang.org/dl/) must be installed. Once installed, execute this to install the binary:

```bash
go install github.com/minio/minio/docs/debugging/xl-meta@latest
```

### Using xl-meta

## 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
```