data-faking 0.1.2

Generate massive amounts of fake data
Documentation 
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use rand::distributions::uniform::{SampleRange, SampleUniform};
use rand::distributions::{DistIter, Distribution, Standard};
use rand::{Rng, SeedableRng};
use rand_pcg::Pcg64Mcg;
use std::cell::RefCell;
use std::sync::RwLock;
use wasm_bindgen::prelude::*;

thread_local! {
  static RNG: RefCell<Pcg64Mcg> = RefCell::new(Pcg64Mcg::from_entropy());
}

lazy_static! {
	static ref SEED: RwLock<Option<u64>> = RwLock::new(None);
}

#[wasm_bindgen]
pub fn set_seed(i: u64) {
	let mut guard = SEED.write().unwrap();
	*guard = Some(i);
	RNG.set(Pcg64Mcg::seed_from_u64(i));
}

#[wasm_bindgen]
pub fn get_seed() -> Option<u64> {
	let guard = SEED.read().unwrap();
	return *guard;
}

pub fn gen_range<T, R>(range: R) -> T
where
	T: SampleUniform,
	R: SampleRange<T>,
{
	RNG.with(|rng| rng.borrow_mut().gen_range(range))
}

pub fn gen<T>() -> T
where
	Standard: Distribution<T>,
{
	RNG.with(|rng| rng.borrow_mut().gen())
}

pub fn sample_iter<T, D>(distr: D) -> DistIter<D, Pcg64Mcg, T>
where
    D: Distribution<T>,
    Pcg64Mcg: Sized
{
  RNG.with(|rng| rng.borrow_mut().clone().sample_iter(distr))
}