#!/bin/bash

set -e
# Enable tracing if set.
[ -n "$BASH_XTRACEFD" ] && set -x

function _init() {
	## All binaries are static make sure to disable CGO.
	export CGO_ENABLED=0

	## List of architectures and OS to test coss compilation.
	SUPPORTED_OSARCH="linux/ppc64le linux/mips64 linux/amd64 linux/arm64 linux/s390x darwin/arm64 darwin/amd64 freebsd/amd64 windows/amd64 linux/arm linux/386 netbsd/amd64 linux/mips openbsd/amd64 linux/riscv64"
}

```Dockerfile
FROM tiangolo/uvicorn-gunicorn-fastapi:python3.7

COPY ./app /app/app
```

### Raspberry Pi et autres architectures

Si vous utilisez Docker sur un Raspberry Pi (qui a un processeur ARM) ou toute autre architecture, vous pouvez créer un `Dockerfile` à partir de zéro, basé sur une image de base Python (qui est multi-architecture) et utiliser Uvicorn seul.

Dans ce cas, votre `Dockerfile` pourrait ressembler à ceci :

```Dockerfile

///

/// tip

🚥 👆 💭, "📊", "🎓", &amp; "🍏" 📛 🎰 🏫 <abbr title="Technically, Deep Learning model architectures">🏷</abbr>.

///

### 📣 *➡ 🔢*

⤴️ ✍ *➡ 🔢* ⏮️ 🆎 ✍ ⚙️ 🔢 🎓 👆 ✍ (`ModelName`):

{* ../../docs_src/path_params/tutorial005.py hl[16] *}

### ✅ 🩺

///

/// tip

If you are wondering, "AlexNet", "ResNet", and "LeNet" are just names of Machine Learning <abbr title="Technically, Deep Learning model architectures">models</abbr>.

///

### Declare a *path parameter* { #declare-a-path-parameter }

Then create a *path parameter* with a type annotation using the enum class you created (`ModelName`):

 * <ul>
 * <li>Query basic OS information like name, architecture, and version</li>
 * <li>Determine the OS family (e.g., Windows, Unix, Mac)</li>
 * <li>Check if the current OS is Windows-based</li>
 * </ul>
 * <p>
 * The service implementation uses system properties to detect OS characteristics:
 * <ul>
 * <li>os.name: The operating system name</li>
 * <li>os.arch: The operating system architecture</li>

```bash
# Generate code coverage reports
mvn jacoco:report

# License header validation
mvn apache-rat:check

# API compatibility checking
mvn clirr:check
```

### Architecture Overview

The library follows a layered architecture:

- **Context Layer**: `CIFSContext` interface provides the main entry point
- **Resource Layer**: `SmbResource` interface represents SMB network resources  

Package: fess
Version: [[version]]
Architecture: all
Maintainer: Fess Team
Depends: libc6, adduser
Section: web
Priority: optional
Homepage: https://github.com/codelibs/fess
Description: Enterprise Search Server: Fess

# Distributed Server Design Guide [![Slack](https://slack.min.io/slack?type=svg)](https://slack.min.io)

This document explains the design, architecture and advanced use cases of the MinIO distributed server.

## Command-line

```
NAME:
  minio server - start object storage server

USAGE:
  minio server [FLAGS] DIR1 [DIR2..]
  minio server [FLAGS] DIR{1...64}
  minio server [FLAGS] DIR{1...64} DIR{65...128}

DIR:

	chmod +x /go/bin/curl
}

case $TARGETARCH in
"arm64")
	download_arch_specific_executable aarch64
	;;
"s390x")
	echo "Not downloading static cURL because it does not exist for the $TARGETARCH architecture."
	;;
*)
	download_arch_specific_executable "$TARGETARCH"
	;;

 */

/**
 * Defines core service interfaces that provide essential Maven functionality such as
 * artifact resolution, dependency management, and build execution. These services
 * form the backbone of Maven's extensible architecture.
 *
 * @since 4.0.0
 */