clvm_tools_rs 0.4.0

tools for working with chialisp language; compiler, repl, python and wasm bindings
Documentation
use rand::prelude::*;
use std::collections::HashSet;

use crate::util::toposort;

#[derive(Debug, Clone)]
struct TopoSortCheckItem {
    needs: HashSet<String>,
    has: HashSet<String>,
}

impl TopoSortCheckItem {
    pub fn new(needs_s: &[&str], has_s: &[&str]) -> Self {
        let mut needs: HashSet<String> = HashSet::new();
        let mut has: HashSet<String> = HashSet::new();
        for n in needs_s.iter() {
            needs.insert(n.to_string());
        }
        for h in has_s.iter() {
            has.insert(h.to_string());
        }
        TopoSortCheckItem { needs, has }
    }
}

// Given
//
// A B -> X
// X Y -> Z
// A W -> Y
// [] -> A
// [] -> B
// B -> W
//
// We should get something like this:
//
// [] -> A
// [] -> B
// B -> W
// A B -> X
// A W -> Y
// X Y -> Z
//
#[test]
fn test_topo_sort_0() {
    let t = |n, h| TopoSortCheckItem::new(n, h);
    let items = vec![
        t(&["A", "B"], &["X"]),
        t(&["X", "Y"], &["Z"]),
        t(&["A", "W"], &["Y"]),
        t(&[], &["A"]),
        t(&[], &["B"]),
        t(&["B"], &["W"]),
    ];
    let result = toposort(
        &items,
        true,
        |_p, n: &TopoSortCheckItem| Ok(n.needs.clone()),
        |h| h.has.clone(),
    )
    .expect("no deadlocks in this data");

    for (i, item) in result.iter().enumerate() {
        let have_item = &items[item.index];
        for j in 0..i {
            let item_to_check = &result[j];
            let item_to_check_for_dependencies_on_have = &items[item_to_check.index];
            // item_to_check_for_dependencies is an item occurring prior to
            // have_item in the sorted output.
            // If its 'needs' has anything in have_item's 'has', then we failed.
            let mut intersection = item_to_check_for_dependencies_on_have
                .needs
                .intersection(&have_item.has);
            assert!(intersection.next().is_none());
        }
    }
}

#[test]
fn test_topo_sort_1() {
    let t = |n, h| TopoSortCheckItem::new(n, h);
    let items = vec![
        t(&["A", "B"], &["X"]),
        t(&["X", "Y"], &["Z"]),
        t(&["A", "W"], &["Y"]),
        t(&[], &["A"]),
        t(&["Z"], &["B"]),
        t(&["B"], &["W"]),
    ];
    let result = toposort(
        &items,
        true,
        |_p, n: &TopoSortCheckItem| Ok(n.needs.clone()),
        |h| h.has.clone(),
    );

    assert!(result.is_err());
}

// A simple pseudo RNG based on an lfsr.  Good enough to generate interesting
// deterministic patterns.
pub struct RngLFSR {
    generator: u32,
}

impl RngLFSR {
    pub fn new(state: u32) -> Self {
        RngLFSR { generator: state }
    }
    fn next(&mut self) -> u32 {
        self.generator = lfsr::galois::Galois16::up(self.generator);
        self.generator
    }
}

impl RngCore for RngLFSR {
    fn next_u32(&mut self) -> u32 {
        let a = self.next();
        let b = self.next();
        (a << 16) | b
    }

    fn next_u64(&mut self) -> u64 {
        let a = self.next_u32() as u64;
        let b = self.next_u32() as u64;
        (a << 32) | b
    }

    fn fill_bytes(&mut self, dest: &mut [u8]) {
        if dest.is_empty() {
            return;
        }

        for i in 0..(dest.len() / 2) {
            let a = self.next();
            dest[i * 2] = (a & 0xff) as u8;
            dest[i * 2 + 1] = ((a >> 8) & 0xff) as u8;
        }

        if (dest.len() & 1) != 0 {
            let a = self.next();
            dest[dest.len() - 1] = (a & 0xff) as u8;
        }
    }
}