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119 lines
3.5 KiB
Vala
119 lines
3.5 KiB
Vala
namespace AstalApps {
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public class Application : Object {
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public DesktopAppInfo app { get; construct set; }
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public int frequency { get; set; default = 0; }
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public string name { get { return app.get_name(); } }
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public string entry { get { return app.get_id(); } }
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public string description { get { return app.get_description(); } }
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public string wm_class { get { return app.get_startup_wm_class(); } }
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public string executable { owned get { return app.get_string("Exec"); } }
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public string icon_name { owned get { return app.get_string("Icon"); } }
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internal Application(string id, int? frequency = 0) {
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Object(app: new DesktopAppInfo(id));
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this.frequency = frequency;
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}
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public string get_key(string key) {
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return app.get_string(key);
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}
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public bool launch() {
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try {
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var s = app.launch(null, null);
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++frequency;
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return s;
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} catch (Error err) {
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critical(err.message);
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return false;
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}
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}
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public Score fuzzy_match(string term) {
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var score = Score();
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if (name != null)
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score.name = levenshtein(term, name);
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if (entry != null)
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score.entry = levenshtein(term, entry);
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if (executable != null)
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score.executable = levenshtein(term, executable);
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if (description != null)
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score.description = levenshtein(term, description);
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return score;
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}
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public Score exact_match(string term) {
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var score = Score();
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if (name != null)
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score.name = name.down().contains(term.down()) ? 1 : 0;
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if (entry != null)
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score.entry = entry.down().contains(term.down()) ? 1 : 0;
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if (executable != null)
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score.executable = executable.down().contains(term.down()) ? 1 : 0;
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if (description != null)
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score.description = description.down().contains(term.down()) ? 1 : 0;
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return score;
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}
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internal Json.Node to_json() {
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return new Json.Builder()
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.begin_object()
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.set_member_name("name").add_string_value(name)
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.set_member_name("entry").add_string_value(entry)
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.set_member_name("executable").add_string_value(executable)
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.set_member_name("description").add_string_value(description)
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.set_member_name("icon_name").add_string_value(icon_name)
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.set_member_name("frequency").add_int_value(frequency)
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.end_object()
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.get_root();
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}
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}
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int min3(int a, int b, int c) {
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return (a < b) ? ((a < c) ? a : c) : ((b < c) ? b : c);
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}
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double levenshtein(string s1, string s2) {
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int len1 = s1.length;
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int len2 = s2.length;
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int[, ] d = new int[len1 + 1, len2 + 1];
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for (int i = 0; i <= len1; i++) {
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d[i, 0] = i;
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}
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for (int j = 0; j <= len2; j++) {
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d[0, j] = j;
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}
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for (int i = 1; i <= len1; i++) {
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for (int j = 1; j <= len2; j++) {
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int cost = (s1[i - 1] == s2[j - 1]) ? 0 : 1;
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d[i, j] = min3(
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d[i - 1, j] + 1, // deletion
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d[i, j - 1] + 1, // insertion
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d[i - 1, j - 1] + cost // substitution
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);
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}
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}
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var distance = d[len1, len2];
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int max_len = len1 > len2 ? len1 : len2;
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if (max_len == 0) {
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return 1.0;
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}
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return 1.0 - ((double)distance / max_len);
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}
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public struct Score {
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double name;
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double entry;
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double executable;
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double description;
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}
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}
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