Language Support

Language Support in FlexonCLI 🌐

FlexonCLI provides comprehensive language bindings and examples for multiple programming languages. Each implementation includes complete examples for common use cases.

Python Implementation

Installation

pip install flexon

Basic Usage

import flexon

# Serialize data
data = {"name": "John", "age": 30}
flexon.save(data, "output.flexon")

# Deserialize data
loaded_data = flexon.load("output.flexon")

AI Data Handling

import flexon
import numpy as np

# Save embeddings
embeddings = np.random.rand(1000, 768)
flexon.save({
    "embeddings": embeddings,
    "metadata": {"model": "bert-base"}
}, "embeddings.flexon")

# Load with encryption
data = flexon.load("secure.flexon", key="mySecretKey")

Ruby Implementation

Installation

gem install flexon

Basic Usage

require 'flexon'

# Serialize data
data = { name: "John", age: 30 }
Flexon.save(data, "output.flexon")

# Deserialize data
loaded_data = Flexon.load("output.flexon")

Image Processing

require 'flexon'
require 'rmagick'

# Save game screenshot
screenshot = Magick::Image.read("screen.png").first
Flexon.save({
    state: game_state,
    screenshot: screenshot.to_blob
}, "save.flexon")

PHP Implementation

Installation

composer require flexon/flexon

Basic Usage

use Flexon\Flexon;

// Serialize data
$data = ["name" => "John", "age" => 30];
Flexon::save($data, "output.flexon");

// Deserialize data
$loaded_data = Flexon::load("output.flexon");

Image Processing

use Flexon\Flexon;
use Intervention\Image\ImageManager;

// Save game state with screenshot
$manager = new ImageManager();
$image = $manager->make('screenshot.png');
Flexon::save([
    'state' => $gameState,
    'screenshot' => $image->encode('png')->encoded
], 'save.flexon');

Java Implementation

Installation

<dependency>
    <groupId>com.flexon</groupId>
    <artifactId>flexon</artifactId>
    <version>1.1.0</version>
</dependency>

Basic Usage

import com.flexon.Flexon;

// Serialize data
Map<String, Object> data = new HashMap<>();
data.put("name", "John");
data.put("age", 30);
Flexon.save(data, "output.flexon");

// Deserialize data
Map<String, Object> loaded = Flexon.load("output.flexon");

Game State Management

import com.flexon.Flexon;
import java.awt.image.BufferedImage;

// Save game state
GameState state = getCurrentState();
BufferedImage screenshot = captureScreen();
Flexon.save(Map.of(
    "state", state,
    "screenshot", screenshot
), "save.flexon");

Additional Language Support

JavaScript/Node.js

const flexon = require('flexon');

// Serialize data
const data = { name: "John", age: 30 };
await flexon.save(data, "output.flexon");

// Deserialize data
const loaded = await flexon.load("output.flexon");

Rust

use flexon::Flexon;

// Serialize data
let data = HashMap::from([
    ("name", "John"),
    ("age", "30"),
]);
Flexon::save(&data, "output.flexon")?;

// Deserialize data
let loaded: HashMap<String, String> = Flexon::load("output.flexon")?;

Go

import "github.com/flexon/flexon"

// Serialize data
data := map[string]interface{}{
    "name": "John",
    "age": 30,
}
flexon.Save(data, "output.flexon")

// Deserialize data
loaded := flexon.Load("output.flexon")

C#

using Flexon;

// Serialize data
var data = new Dictionary<string, object>
{
    ["name"] = "John",
    ["age"] = 30
};
Flexon.Save(data, "output.flexon");

// Deserialize data
var loaded = Flexon.Load("output.flexon");

Common Features Across Languages

All language implementations support:

1. Basic Operations

   • Serialization/Deserialization
   • Encryption/Decryption
   • Schema Validation

2. Data Types

   • Native types
   • Binary data
   • Complex objects
   • AI data structures

3. Security

   • Multiple encryption algorithms
   • Key management
   • Secure defaults

4. Performance

   • Efficient binary format
   • Compression
   • Streaming support

5. Error Handling

   • Consistent error types
   • Detailed messages
   • Stack traces

Best Practices

1. Data Handling

   • Use strong typing when possible
   • Validate data before serialization
   • Handle errors appropriately

2. Security

   • Store keys securely
   • Use encryption for sensitive data
   • Validate input data

3. Performance

   • Use streaming for large files
   • Implement proper cleanup
   • Monitor memory usage

4. Integration

   • Follow language conventions
   • Use proper exception handling
   • Implement logging