differential-dataflow 0.0.3

An incremental data-parallel dataflow platform
Documentation
// extern crate rand;
// extern crate time;
// extern crate getopts;
// extern crate timely;
// extern crate graph_map;
// extern crate differential_dataflow;
//
// use differential_dataflow::sort::radix_merge::Accumulator;
//
// use graph_map::GraphMMap;
//
// type Node = u32;
// type Edge = (Node, Node);
//
// fn main() {
//     let graph = GraphMMap::new("/Users/mcsherry/Projects/Datasets/twitter-dedup");
//     // let mut merge = RadixMerge::new(Rc::new(|x: &u32| *x as u64));
//
//     let parts = 256;
//
//     let mut merges = vec![];
//     for _ in 0..parts {
//         merges.push(Accumulator::new());
//     }
//
//     let func = |&x: &_| x as u64;
//
//     let mut node_counter = 0u64;
//     let mut edge_counter = 0u64;
//     for node in 0..graph.nodes() {
//         node_counter += 1;
//         let edges = graph.edges(node);
//         for &dest in edges { merges[node % parts].push(node as u32, dest, 1, &func); }
//         for &dest in edges { merges[dest as usize % parts].push(dest, node as u32, 1, &func); }
//         edge_counter += 2 * edge_counter;
//     }
//     println!("nodes: {}", node_counter);
//     println!("edges: {}", edge_counter);
//     println!("d_avg: {}", edge_counter as f64 / node_counter as f64);
//
//     for merge in merges.into_iter() {
//         merge.done(&func);
//     }
// }