Nectarineimp

digraph BaghdadBatteryDependencies {
    rankdir=TB;
    node [shape=box, style=rounded];

    subgraph cluster_L0 {
        label="Level 0 – Physical Laws (Not Known, but True)";
        style=dashed;
        L0_1 [label="L0.1: Different metals have different\nintrinsic electrode potentials"];
        L0_2 [label="L0.2: Acids enable redox reactions\nbetween metals and ions"];
        L0_3 [label="L0.3: Charge separation creates an\nelectric potential difference"];

Nectarineimp

;; 2048 machine learning analysis
;; Order, Free Space, Weight Distribution
;; Scoring Analysis, Nabla ∇ Divergence

;; initial board state - choose wisest direction for move (up down left right)
;; 2 0 2 4   0 pairs (actually a scoring pair is in there once the space is crossed.)
;; 2 2 4 0   1 pair
;; 4 4 0 0   1 scoring pair, 1 blank pair
;; 4 0 8 0   1 blank pair

Nectarineimp

(defn get-slope [[x1 y1] [x2 y2]]
  (/ (- x2 x1) (- y2 y1)))

(get-slope [500 400][290 600])

(defn angle-offset [slope]
  (java.lang.Math/atan slope))

(angle-offset (get-slope [500 400][300 490]))

Nectarineimp

Map<Integer, CorefChain> graph = document.get(CorefChainAnnotation.class);
for (Map.Entry<Integer, CorefChain> entry : graph.entrySet()) {
    CorefChain c = entry.getValue();
    System.out.println("\nClusterID: " + entry.getKey());
    CorefMention cm = c.getRepresentativeMention();
    if (cm != null) {
        System.out.println("Representative Mention: " + cm.mentionSpan + " @" + cm.position.elems()[0] + " H:" + cm.position.elems()[1] +  " [ " + cm.startIndex + ", " + cm.endIndex + "]");
        List<CorefMention> cms = c.getCorefMentions();
	System.out.print("Mentions:\n");
        for (CorefMention mention : cms) {