#!/bin/bash

# The website is built using MkDocs with the Material theme.
# https://squidfunk.github.io/mkdocs-material/
# It requires Python to run.
# Install the packages with the following command:
# pip install mkdocs mkdocs-material mkdocs-redirects

set -ex

# Test generating the javadoc jars
./gradlew publishToMavenLocal -DRELEASE_SIGNING_ENABLED=false

# Generate the API docs
./gradlew dokkaHtmlMultiModule

# "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.

## Install from Source

Use the following commands to compile and run a standalone MinIO server from source.
If you do not have a working Golang environment, please follow [How to install Golang](https://golang.org/doc/install). Minimum version required is [go1.24](https://golang.org/dl/#stable)

```sh
go install github.com/minio/minio@latest
```

        projects.put(p2, Collections.singletonList(p1));

        BuildPlan plan = calculateLifecycleMappings(projects, "verify");
        plan.then(calculateLifecycleMappings(projects, "install"));

        Stream.of(p1, p2).forEach(project -> {
            plan.requiredStep(project, "after:resources").addMojo(new MojoExecution(null), 0);

## Install

See the [TensorFlow install guide](https://www.tensorflow.org/install) for the
[pip package](https://www.tensorflow.org/install/pip), to
[enable GPU support](https://www.tensorflow.org/install/gpu), use a
[Docker container](https://www.tensorflow.org/install/docker), and
[build from source](https://www.tensorflow.org/install/source).

To install the current release, which includes support for

          distribution: 'temurin'

      - name: Install Graphviz (MacOS)
        if: runner.os == 'macOS'
        run: brew install graphviz

      - name: Install Graphviz (Ubuntu)
        if: runner.os == 'Linux'
        run: sudo apt-get install graphviz

      - name: Install Graphviz (Windows)
        if: runner.os == 'Windows'
        run: choco install graphviz

      - name: Checkout maven

        with:
          version: "0.4.15"
          enable-cache: true
          cache-dependency-glob: |
            requirements**.txt
            pyproject.toml
      - name: Install Dependencies
        run: uv pip install -r requirements-github-actions.txt
      # Allow debugging with tmate
      - name: Setup tmate session
        uses: mxschmitt/action-tmate@v3

## Install the Server Program { #install-the-server-program }

When you install FastAPI, it comes with a production server, Uvicorn, and you can start it with the `fastapi run` command.

But you can also install an ASGI server manually.

Make sure you create a [virtual environment](../virtual-environments.md){.internal-link target=_blank}, activate it, and then you can install the server application.

        with:
          version: "0.4.15"
          enable-cache: true
          cache-dependency-glob: |
            requirements**.txt
            pyproject.toml
      - name: Install Dependencies
        run: uv pip install -r requirements-github-actions.txt
      # Allow debugging with tmate
      - name: Setup tmate session
        uses: mxschmitt/action-tmate@v3

- Chroot installed on your machine.

## 2. Install MinIO in Chroot

> **Note:** MinIO community edition is now distributed as source code only. Pre-compiled binaries are no longer provided for new releases.

Build MinIO from source and install it in the chroot directory:

```sh
# Build MinIO from source
go install github.com/minio/minio@latest

# Create the bin directory in your chroot