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1 | !747 |
2 | |
3 | abstract class P {
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4 | abstract void write(S tok); |
5 | abstract S read(); |
6 | } |
7 | |
8 | m {
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9 | static class Pairs extends P {
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10 | new Map<S,S> map; |
11 | S last; |
12 | |
13 | void write(S tok) {
|
14 | if (last != null) |
15 | map.put(last, tok); |
16 | last = tok; |
17 | } |
18 | |
19 | S read() {
|
20 | return last == null ? null : map.get(last); |
21 | } |
22 | } |
23 | |
24 | p {
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25 | P p = new Pairs; |
26 | S corpus = makeCorpus(10); |
27 | L<S> tok = javaTok(corpus); |
28 | print("Tokens in corpus: " + tok.size());
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29 | |
30 | new L<Boolean> predicted; |
31 | int points = 0; |
32 | for (int i = 1; i < tok.size(); i += 2) {
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33 | S t = tok.get(i); |
34 | S x = p.read(); |
35 | boolean correct = t.equals(x); |
36 | while (predicted.size() < i) predicted.add(false); |
37 | predicted.add(correct); |
38 | if (correct) ++points; |
39 | p.write(t); |
40 | } |
41 | double score = points*100.0/(tok.size()/2); |
42 | print(points + "/"+ tok.size()/2 + " = " + formatDouble(score, 2) + "%"); |
43 | |
44 | showColoredText(tok, predicted); |
45 | } |
46 | |
47 | static void showColoredText(L<S> tok, L<Boolean> predicted) ctex {
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48 | JFrame jf = new JFrame("Predicted = green");
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49 | Container cp = jf.getContentPane(); |
50 | |
51 | JTextPane pane = new JTextPane(); |
52 | //pane.setFont(loadFont("#1000993", 24));
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53 | Document doc = pane.getStyledDocument(); |
54 | |
55 | for (int i = 0; i < tok.size(); i++) {
|
56 | if (tok.get(i).length() == 0) continue; |
57 | boolean green = i < predicted.size() && predicted.get(i); |
58 | SimpleAttributeSet set = new SimpleAttributeSet(); |
59 | StyleConstants.setForeground(set, green ? Color.green : Color.gray); |
60 | doc.insertString(doc.getLength(), tok.get(i), set); |
61 | } |
62 | |
63 | JScrollPane scrollPane = new JScrollPane(pane); |
64 | cp.add(scrollPane, BorderLayout.CENTER); |
65 | |
66 | jf.setBounds(100, 100, 600, 600); |
67 | jf.setVisible(true); |
68 | } |
69 | |
70 | !include #1000989 // SnippetDB |
71 | |
72 | static S makeCorpus(int numSnippets) {
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73 | new StringBuilder buf; |
74 | SnippetDB db = new SnippetDB("#1000673");
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75 | List<List<S>> rows = db.rowsOrderedBy("sn_created");
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76 | for (int i = 0; i < Math.min(rows.size(), numSnippets); i++) {
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77 | S id = db.getField(rows.get(i), "sn_id"); |
78 | S title = db.getField(rows.get(i), "sn_title"); |
79 | S text = db.getField(rows.get(i), "sn_text"); |
80 | buf.append("\n== ID: " + id);
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81 | buf.append("\n== Title: " + title);
|
82 | buf.append("\n==\n");
|
83 | buf.append(text).append("\n");
|
84 | ++i; |
85 | } |
86 | return buf.toString(); |
87 | } |
88 | } |
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| Snippet ID: | #1000991 |
| Snippet name: | Token prediction with graphical display |
| Eternal ID of this version: | #1000991/1 |
| Text MD5: | 7c65fe7ebea79b2f6d745411ac79759f |
| Transpilation MD5: | 9aebadd15ce2d040cde1bcbbd035f2a3 |
| Author: | stefan |
| Category: | |
| Type: | JavaX source code |
| Public (visible to everyone): | Yes |
| Archived (hidden from active list): | No |
| Created/modified: | 2015-09-14 18:23:50 |
| Source code size: | 2481 bytes / 88 lines |
| Pitched / IR pitched: | No / Yes |
| Views / Downloads: | 651 / 744 |
| Referenced in: | [show references] |