windjammer 0.48.0

// std/random - Random generation with proper abstraction
// Implementation: rand (hidden from users)

// PUBLIC API - Users interact with these functions only

// Basic Random Generation

fn random<T>() -> T {
    // Implementation wraps: rand::random::<T>()
    // Type inference determines what to generate
    // For now, placeholder
}

fn range(min: int, max: int) -> int {
    // Implementation wraps: rand::thread_rng().gen_range(min..max)
    min
}

fn range_inclusive(min: int, max: int) -> int {
    // Implementation wraps: rand::thread_rng().gen_range(min..=max)
    min
}

fn float() -> float {
    // Implementation wraps: rand::random::<f64>()
    0.0
}

fn float_range(min: float, max: float) -> float {
    // Implementation wraps: rand::thread_rng().gen_range(min..max)
    min
}

fn bool() -> bool {
    // Implementation wraps: rand::random::<bool>()
    false
}

fn bool_with_probability(probability: float) -> bool {
    // Implementation wraps: rand::thread_rng().gen_bool(probability)
    // probability should be 0.0 to 1.0
    false
}

// Collection Operations

fn shuffle<T>(list: Vec<T>) -> Vec<T> {
    // Implementation wraps: use rand::seq::SliceRandom; list.shuffle(&mut thread_rng())
    list
}

fn choice<T>(list: Vec<T>) -> Option<T> {
    // Implementation wraps: use rand::seq::SliceRandom; list.choose(&mut thread_rng())
    None
}

fn sample<T>(list: Vec<T>, count: int) -> Vec<T> {
    // Implementation wraps: use rand::seq::SliceRandom; list.choose_multiple(&mut thread_rng(), count)
    vec![]
}

// String Generation

fn alphanumeric(length: int) -> string {
    // Implementation wraps: use rand::distributions::Alphanumeric; 
    // thread_rng().sample_iter(&Alphanumeric).take(length).collect()
    ""
}

fn ascii(length: int) -> string {
    // Implementation wraps: Generate random ASCII string
    ""
}

// Bytes

fn bytes(length: int) -> Vec<u8> {
    // Implementation wraps: let mut bytes = vec![0u8; length]; thread_rng().fill(&mut bytes[..])
    vec![]
}

// Seeding (for reproducible randomness)

struct Rng {
    // Private: Wraps rand::rngs::StdRng or similar
}

fn seeded(seed: u64) -> Rng {
    // Implementation wraps: use rand::SeedableRng; StdRng::seed_from_u64(seed)
    Rng {}
}

impl Rng {
    fn range(self, min: int, max: int) -> int {
        // Wraps: self.gen_range(min..max)
        min
    }
    
    fn float(self) -> float {
        // Wraps: self.gen::<f64>()
        0.0
    }
    
    fn bool(self) -> bool {
        // Wraps: self.gen::<bool>()
        false
    }
    
    fn shuffle<T>(self, list: Vec<T>) -> Vec<T> {
        // Wraps: list.shuffle(&mut self)
        list
    }
}

// USAGE EXAMPLES (what users should write):
//
// use std::random
//
// fn main() {
//     // Basic random - Windjammer API! ✅
//     let num = random.range(1, 100)
//     println!("Random number: {}", num)
//     
//     let coin = random.bool()
//     println!("Coin flip: {}", coin)
//     
//     let prob = random.bool_with_probability(0.7)
//     println!("70% chance: {}", prob)
//     
//     // Float
//     let f = random.float()
//     println!("Random float: {}", f)
//     
//     let f_range = random.float_range(0.0, 1.0)
//     println!("Float in range: {}", f_range)
//     
//     // Collections
//     let items = vec![1, 2, 3, 4, 5]
//     let shuffled = random.shuffle(items.clone())
//     println!("Shuffled: {:?}", shuffled)
//     
//     let picked = random.choice(items.clone())
//     println!("Random choice: {:?}", picked)
//     
//     // String generation
//     let token = random.alphanumeric(32)
//     println!("Token: {}", token)
//     
//     // Seeded (reproducible)
//     let mut rng = random.seeded(42)
//     let n1 = rng.range(1, 100)
//     let n2 = rng.range(1, 100)
//     println!("Seeded: {} {}", n1, n2)
// }
//
// NOT THIS (rand exposed): ❌
// use rand::Rng
// let num = rand::thread_rng().gen_range(1..100)
// let shuffled = items.shuffle(&mut rand::thread_rng())

// NOTE: Full implementation coming in v0.14.0
// rand is auto-added as a dependency