EntilZha

if [[ ! -f "/opt/graphite/bin/carbon-cache.py" ]]; then
            wget -qNP /tmp https://github.com/downloads/graphite-project/whisper/whisper-0.9.10.tar.gz
            tar -C /tmp -zxf /tmp/whisper-0.9.10.tar.gz
            cd /tmp/whisper-0.9.10
            python setup.py install

            wget -qNP /tmp https://github.com/downloads/graphite-project/carbon/carbon-0.9.10.tar.gz
            tar -C /tmp -zxf /tmp/carbon-0.9.10.tar.gz
            cd /tmp/carbon-0.9.10
            python setup.py install

EntilZha

Topic 0: adhering(948), amplification(838), autonomous(766), bower(748), airborne(748), amplifying(738), bination(698), acl(695), buy(688), assume(663), acldey(658), bypass(657), account(653), appendix(641), busy(636),
Topic 1: aut(1107), biggest(1020), accents(1020), associative(955), barron(954), barrier(945), adap(927), austin(906), adam(906), aration(882), burges(806), affecting(801), affects(794), afferent(759), acyclic(757),
Topic 2: boser(876), apex(716), berlin(704), automaton(654), atypical(608), aliasing(608), ariaboost(585), barak(571), accumulated(559), attias(555), ang(531), antennas(525), antennae(516), annu(498), biological(490),
Topic 3: activating(1192), acceleration(836), accent(798), ary(794), bahl(792), brosch(791), acceptance(751), aggregate(707), blowfly(662), aggregation(648), beneath(635), bringing(630), benchmarks(623), backprop(617), caption(601),
Topic 4: arl(949), boot(907), baluja(884), carefully(769), capacitances(734), bonn(728), bfilthoff(720), ballard(704), buffer(690), carpen

EntilZha

AMPCrowd Template Proposal

Task API

Task Group

• group_id
• tasks_finished
• callback_url
• group_context
• crowd_config

Task

EntilZha

fn main() {
    let observations = [5, 9, 8, 4, 7];
    let (theta_a, theta_b) = em(0.5, 0.5, observations);
    println!("ThetaA: {}, ThetaB: {}", theta_a, theta_b);
}

fn em(theta_a_0: f64, theta_b_0: f64, observations: [i32; 5]) -> (f64, f64) {
    let mut theta_a = theta_a_0;
    let mut theta_b = theta_b_0;
    let a_probs = observations.iter().map(|x| binomial(theta_a, *x, 10));

EntilZha

from collections import namedtuple

TableEntry = namedtuple('Element', 'hash key value')
class HashTable(object):
    DEFAULT_SIZE = 8
    EMPTY_VALUE = TableEntry(None, None, None)
    DELETED_VALUE = TableEntry(None, None, None)
    LOAD_FACTOR = 2 / 3
    MIN_FACTOR = 1 / 3

EntilZha

EntilZha

#include <iostream>
#include <vector>

using namespace std;

template <typename A>
class RDD {
public:
    vector<A> sequence;
    RDD(vector<A> sequence): sequence(sequence) {}

EntilZha

use std::collections::HashMap;

#[derive(Debug)]
pub struct Graph<V: Copy, E: Copy> {
  pub vertexes: HashMap<usize, Vertex<V>>,
  pub edges: HashMap<(usize, usize), E>,
  adjacency_matrix: Vec<Vec<bool>>
}

#[derive(Debug)]

EntilZha

[package]
name = "ffitest"
version = "0.1.0"
authors = ["Pedro Rodriguez <[email protected]>"]

[dependencies]

[lib]
name = "ffitest"
crate-type = ["dylib"]

EntilZha

pub struct BfsIterator<'a, V: 'a + Copy, E: 'a + Copy> {
    queue: VecDeque<VertexId>,
    graph: &'a Graph<V, E>,
    distances: Vec<u64>,
    parents: Vec<VertexId>,
    predicate: &'a Fn(V, E, V) -> bool
}

impl<'a, V: Copy, E: Copy> Graph<V, E> {
    pub fn bfs_iter(&'a self, source: VertexId) -> BfsIterator<V, E> {