id stringlengths 36 36 | text stringlengths 1 1.25M |
|---|---|
57cdc871-9ec3-464e-92be-68c4cbc5199d | public List<String> getFileNames() {
return fileNames;
} |
4d37eded-452b-482a-827f-798740e56c87 | public List<String> getMethods() {
return methods;
} |
761b1883-f720-44e4-9f46-1c84853f379b | public PseudolocalizationPipeline getPipeline() {
return pipeline;
} |
5c3f5e77-11f2-484d-bbe1-abc3bb20d6dc | public String getType() {
return fileType;
} |
7a57fd2a-47fc-4997-a6d8-732921c54fe3 | public String getVariant() {
return variant;
} |
e4af5a89-45e6-4306-82f6-2aada25e30f7 | public boolean isInteractive() {
return isInteractive;
} |
9fa73bbb-9110-49f5-80f6-38e940b0e346 | public boolean isOverwrite() {
return isOverwrite;
} |
a9d5a322-16fc-4f95-bfc1-49bc762e81f9 | public static void main(String[] args) throws IOException {
Pseudolocalizer pseudolocalizer = new Pseudolocalizer();
PseudolocalizerArguments arguments = new PseudolocalizerArguments(args);
pseudolocalizer.run(arguments);
} |
b5e33929-4224-4f85-b4f1-d8edd2f8f61b | void run(PseudolocalizerArguments arguments) throws IOException {
List<String> fileNames = arguments.getFileNames();
PseudolocalizationPipeline pipeline = arguments.getPipeline();
if (arguments.isInteractive()) {
runStdin(pipeline);
return;
}
if (fileNames... |
ddda40cb-0116-43d4-8574-356c8e2d317e | private List<Message> readAndProcessMessages(PseudolocalizationPipeline pipeline,
MessageCatalog msgCat, InputStream inputStream)
throws IOException {
List<Message> processedMessages = new ArrayList<Message>();
ReadableMessageCatalog input = msgCat.readFrom(inputStream);
... |
7ee011c2-18e4-43d0-9016-a584c3404b68 | private void runStdin(PseudolocalizationPipeline pipeline) throws IOException {
BufferedReader reader = new BufferedReader(new InputStreamReader(System.in));
String line;
System.out.println("Enter text to pseudolocalize:");
while ((line = reader.readLine()) != null) {
if (lin... |
55df50a3-23c6-4a82-b5b5-2b11c02b12df | private void writeMessages(MessageCatalog msgCat, List<Message> messages,
OutputStream outputStream) throws IOException {
// write messages
WritableMessageCatalog output = msgCat.writeTo(outputStream);
try {
for (Message msg : messages) {
output.writeMessa... |
7a738d4b-2c25-45ad-824f-15cd34a5c5ba | public FileCollector(String path, String fileRegex, String outputFile) {
this.rootPath = path;
this.outputFile = outputFile;
this.filePattern = Pattern.compile(fileRegex);
} |
095dfbfa-5666-40a5-835e-1f9e20eaae65 | public void collect() {
List<String> fileNames = new ArrayList<String>();
collect(rootPath, fileNames);
try {
writeToOutputFile(fileNames);
} catch (IOException ex) {
throw new CollectFileException("Fail to collect files under path: " + rootPath, ex);
}
... |
c4d772b9-f7b4-4098-89eb-f0f42602b754 | private void collect(String rootPath, List<String> fileNames) {
File dir = new File(rootPath);
File[] files = dir.listFiles();
if (files == null) {
return;
}
for (int i = 0; i < files.length; i++) {
File file = files[i];
if (file.isDirectory())... |
cdba14bb-6d65-4627-a24e-46362b2e5cf1 | public void writeToOutputFile(List<String> fileNames) throws IOException {
if (fileNames != null) {
BufferedWriter out = null;
try {
File output = new File(outputFile);
if (!output.exists()) {
output.createNewFile();
}
... |
6c9d94ca-efdc-498f-8d93-6ae5e6e8e9e6 | public CollectFileException() {
super();
} |
e6f97b9a-99fd-46a5-a822-900420545dd7 | public CollectFileException(String message) {
super(message);
} |
e0462376-a6fc-4463-bfc2-e214a70f9692 | public CollectFileException(String message, Throwable cause) {
super(message, cause);
} |
7c76b7dc-6c49-425f-8bd3-e1160deb0584 | public CollectFileException(Throwable cause) {
super(cause);
} |
8bb1ac69-c1d0-4742-8810-7a54b458ba09 | public AppTest( String testName )
{
super( testName );
} |
5d426ca5-3d06-4f90-9bc2-aea01416cb03 | public static Test suite()
{
return new TestSuite( AppTest.class );
} |
db3ea399-0dd3-4407-958a-f073bd24bd12 | public void testApp()
{
assertTrue( true );
} |
9858d766-3bec-4a41-b260-ae92372d84c1 | public void testCollectFile() {
// FileCollector collector = new FileCollector("D:\\Projects\\amarosa_6-3_TELUS\\JEDI\\jedi-assembly\\target\\jedi-6.3.0-TELUS-XMN-SNAPSHOT\\localStorage", ".*[\\\\/]en.js$", "WebBatch.txt");
FileCollector collector = new FileCollector("D:\\Projects\\amarosa_6-3_TELUS\\JED... |
46fb97a9-62a0-4ba2-9e52-2bc1bc4a5bc6 | @Test
public void testReplaceStrConnector() {
String str = "{HINT_TEXT:\"If you make international calls, the included plan mon the applicable international rate.\","+
"AUTO_PURCHASE_DESCRIPTION:\"Auto Purchase feature ensures you will never run out of calling credits. The \" +"+
" \"selected packag... |
49cb2d86-9418-443c-b278-81af3a7dc564 | public Record(String line) {
String[] ls = line.split(",");
userID = Integer.parseInt(ls[0]);
latitude = Double.parseDouble(ls[1]);
longitude = Double.parseDouble(ls[2]);
time = ls[3];
try {
timestamp = sdf.parse(time).getTime() / 1000;
} catch (ParseException e) {
System.out.println(ls[3] + "\n" + ... |
4d812f9f-bf1e-4c18-8659-7948eb598de4 | public double distanceTo(Record o) {
double d2r = (Math.PI/180);
double distance = 0;
double longiE = o.longitude;
double latiE = o.latitude;
try {
double dlong = (longiE - longitude) * d2r;
double dlati = (latiE - latitude) * d2r;
double a = Math.pow(Math.sin(dlati/2.0), 2)
+ Math.cos(latitu... |
464ce646-d9b8-41bc-b705-e37cd3712a7a | @Override
public int compareTo(Record o) {
return (int) (this.timestamp - o.timestamp);
} |
d044f732-78ca-455e-8749-1d7dec0ad05b | @Override
public String toString() {
return String.format("%d,%.6f,%.6f,%s,%d", userID, latitude, longitude, time, locID);
} |
c82539a6-6e74-4087-88b8-ebb50a0a58f6 | public String GPS() {
return String.format("%.3f%.3f", latitude, longitude);
} |
e0f32a88-3490-4878-8e6d-5b5936fbde10 | public static void main(String[] args) {
// test purpose
String test = "0,37.806167,-122.450135,2010-04-14 04:32:30,0";
Record r = new Record(test);
System.out.println(r);
} |
2b69ccd3-77bc-4645-94a0-5004b4b0c4a0 | User( Record r ) {
userID = r.userID;
records = new LinkedList<Record>();
friends = new HashSet<Integer>();
locs = new HashSet<String>();
records.add(r);
if ( ! allUserSet.containsKey(r.userID))
allUserSet.put(r.userID, this);
} |
8b79476e-12ac-44de-bf68-775e704190b6 | User (int uid) {
if (! allUserSet.containsKey(uid)) {
userID = uid;
records = new LinkedList<Record>();
friends = new HashSet<Integer>();
locs = new HashSet<String>();
try {
BufferedReader fin = new BufferedReader(new FileReader(String.format("%s/%d", userDir, uid)));
// add friends;
St... |
802cd191-7767-4223-ae0d-b71e39b3e5d0 | public static void addAllUser() {
File dir = new File(userDir);
String[] fileNames = dir.list();
for (String fn : fileNames) {
new User(Integer.parseInt(fn));
}
System.out.println(String.format("Create %d users in total.", allUserSet.size()));
} |
e0b2a51f-50e8-4cdb-8667-131a7635ec48 | public static void addTopkUser( int k ) {
try {
BufferedReader fin = new BufferedReader( new FileReader("res/userCheckins-rank.txt"));
String l = null;
int c = 0;
while (( l = fin.readLine()) != null ) {
String[] ls = l.split("\t");
int uid = Integer.parseInt(ls[0]);
new User(uid);
c ++;
... |
7706a2c2-7d24-4b6e-882b-f68c9ba60f5f | @Override
public String toString() {
return String.format("User %d: #friend -- %d; #records -- %d", userID, friends.size(), records.size());
} |
fa924532-3f08-445b-94fb-ece26ff101fe | HashSet<String> getLocations() {
if (locs.size() == 0) {
for (Record r : records) {
if ( ! locs.contains(r.GPS()) )
locs.add( r.GPS() );
}
}
return locs;
} |
ee3e10ca-5894-443f-81ab-49771443ff37 | public double locationWeight( Record rt ) {
double weight = 0;
double dist = 0;
for (Record r : records) {
dist = rt.distanceTo(r);
dist = Math.exp(- User.para_c * dist);
weight += dist;
}
// System.out.println(String.format("User %d Cnt: %d, records size %d, weight %g", userID, cnt, records.size(... |
b206163f-4485-4f79-a2cc-79e321234e52 | public static void main(String[] args) {
// for (int i = 0; i <= 335; i++) {
// User u0 = new User(i);
// System.out.println(u0.getLocations().size());
// }
// User.addAllUser();
getUserRecordsNRanking();
} |
2cd5ac3a-d7b3-4c78-9124-8018d4b0544d | @Override
public int compareTo(User oth) {
return this.records.size() - oth.records.size();
} |
13a17bd6-4f13-4508-9812-91e7130a493c | private static void getUserRecordsNRanking() {
User.addAllUser();
List<User> users = new LinkedList<User>(User.allUserSet.values());
Collections.sort(users);
try {
BufferedWriter fout = new BufferedWriter( new FileWriter( "res/userCheckins-rank.txt" ));
for (int i = users.size() - 1; i >= 0; i--) {
... |
78cd2f32-c10f-489f-bd9e-56c98cbe6dc6 | MiningFramework() {
long t_start = System.currentTimeMillis();
System.out.println("Start create MiningFramework instance, and construct User instances.");
User.addAllUser();
friendPair = new ArrayList<int[]>();
distantFriend = new ArrayList<int[]>();
nonFriendMeeting = new ArrayList<int[]>();
friendMap = ... |
69c2dd3a-b69a-4950-b61b-e066e7d9279c | public void locationDistancePowerLaw( ) {
for (int id : User.allUserSet.keySet()) {
MiningFramework.locationDistancePowerLaw(id);
}
} |
3ac70ae9-0458-4884-bc4e-d65961ba9cac | public static void locationDistancePowerLaw( int uid ) {
try {
User u = new User(uid);
BufferedWriter fout = new BufferedWriter( new FileWriter (String.format("res/distance-%d.txt", u.userID)));
for (int i = 0; i < u.records.size(); i++) {
for (int j = i + 1; j < u.records.size(); j++ ) {
double d ... |
b4576a38-3336-48d9-a232-099065a0284c | private boolean inFriendPair(int uaid, int ubid) {
if (friendMap.containsKey(uaid) && friendMap.get(uaid).contains(ubid))
return true;
else if (friendMap.containsKey(ubid) && friendMap.get(ubid).contains(uaid))
return true;
else
return false;
} |
8b662f2b-ba5c-4077-9478-f2a4f7705576 | public void allPairMeetingFreq(boolean IDorDist) {
long t_start = System.currentTimeMillis();
System.out.println("allPairMeetingFreq starts");
int K = User.allUserSet.size();
System.out.println(String.format("uary.length: %d", K));
for (int i = 0; i < K; i++) {
User ua = User.allUserSet.get(i);
HashSet<... |
1a9247ba-b0cc-4be5-b70a-2641a4c6355a | public void writeMeetingFreq() {
try {
BufferedWriter fout = new BufferedWriter(new FileWriter("res/freq.txt"));
for (int i : meetFreq.keySet()) {
for (int j : meetFreq.get(i).keySet()) {
// write out id_1, id_2, meeting frequency, distance
fout.write(String.format("%d\t%d\t%d\t", i, j, meetFreq.g... |
9c0bf81f-7515-4c01-9e50-4d1dfa4b87c9 | public ArrayList<int[]> remoteFriends() {
// iterate over all user pair
long t_start = System.currentTimeMillis();
int c = 0;
for (int a : friendMap.keySet()) {
for (int b : friendMap.get(a)) {
System.out.println(String.format("Calculating user with id %d and %d", a, b));
int cnt = 0;
if (a <= b)... |
5b357a75-3409-4d8b-b62b-2e130331eea2 | public void writeRemoteFriend() {
try {
BufferedWriter fout = new BufferedWriter(new FileWriter("res/remoteFriend.txt"));
for (int i = 0; i < distantFriend.size(); i++) {
// write out u_1, u_2, distance, meeting frequency
int uaid = distantFriend.get(i)[0];
int ubid = distantFriend.get(i)[1];
fo... |
3addbc86-544c-408f-b3cd-ae9af222ca4b | public ArrayList<int[]> nonFriendsMeetingFreq() {
int K = User.allUserSet.size();
for (int i = 0; i < K; i++ )
for (int j = i+1; j < K; j++) {
if (nonFriend(i, j) && meetFreq.get(i).get(j) > 0) {
int[] tuple = {i, j, meetFreq.get(i).get(j)};
nonFriendMeeting.add(tuple);
}
}
return nonFrien... |
d340436c-03fd-41d4-ac32-90f138e28e52 | private boolean nonFriend(int aid, int bid) {
if (friendMap.containsKey(aid)) {
if (friendMap.get(aid).contains(bid)) {
return false;
} else {
return true;
}
} else {
return true;
}
} |
af8572fb-a935-460b-988f-682355b8d860 | public void writeNonFriendsMeeting(){
try {
BufferedWriter fout2 = new BufferedWriter(new FileWriter("nonFriendsMeeting.txt"));
for (int i = 0; i < nonFriendMeeting.size(); i++) {
// write out u_1, u_2, meeting frequency
fout2.write(String.format("%d\t%d\t%d\n", nonFriendMeeting.get(i)[0], nonFriendMeet... |
df80a9c8-fd79-4235-9f3a-0663d32e32a6 | public static void pairAnalysis( int uaid, int ubid ) {
User ua = new User(uaid);
User ub = new User(ubid);
// 1. get the co-locations and the corresponding meeting freq
HashMap<String, Integer> mf = meetingFreq(ua, ub);
// 2. get the total meeting frequency
int sum = 0;
for (int i : mf.values()) {
sum... |
80033d3e-af52-4c12-ab04-75ee24468e44 | private static HashMap<String, Integer> meetingFreq( User ua, User ub ) {
HashMap<String, Integer> colofreq = new HashMap<String, Integer>();
int aind = 0;
int bind = 0;
while (aind < ua.records.size() && bind < ub.records.size()) {
Record ra = ua.records.get(aind);
Record rb = ub.records.get(bind);
... |
040b9b0f-05af-45f1-8750-1cc51c2ce709 | @SuppressWarnings("unused")
private static int totalMeetingFreq( int uaid, int ubid ) {
User ua = new User(uaid);
User ub = new User(ubid);
HashMap<String, Integer> mf = meetingFreq(ua, ub);
int sum = 0;
for (int f : mf.values()) {
sum += f;
}
return sum;
} |
ac935ac8-5c29-4c5f-b1f8-f676219309ea | @SuppressWarnings("unused")
private static double[] locIDBasedSumLogMeasure(int uaid, int ubid) {
User ua = new User(uaid);
User ub = new User(ubid);
int aind = 0;
int bind = 0;
long lastMeet = 0;
double freq = 0;
double measure = 0;
while (aind < ua.records.size() && bind < ub.records.size()) {
Rec... |
3cae25aa-b485-454b-be5c-0d128fdff305 | @SuppressWarnings("unused")
private static double[] locIDBasedARCTANweightEvent(int uaid, int ubid) {
User ua = new User(uaid);
User ub = new User(ubid);
LinkedList<Record> meetingEvent = new LinkedList<Record>();
LinkedList<Double> meetingRawWeight = new LinkedList<Double>();
int aind = 0;
int bind = 0;
... |
786a62c7-0ce7-4392-b7f8-ddb5bdb94aaf | @SuppressWarnings("unused")
private static double[] PAIRWISEweightEvent(int uaid, int ubid, BufferedWriter fout, int friend_flag, boolean IDorDist,
boolean entroIDorDist, String RhoMethod, String weightMethod, String combMethod, int dependence, int sampleRate
) throws IOException {
User ua = new User(uaid);
... |
849cf3f8-4c91-4500-8903-aa7a6a89365a | @SuppressWarnings("unused")
private static double[] locIDBasedOneMinusExpCONSECUTIVEweightEvent(int uaid, int ubid) {
User ua = new User(uaid);
User ub = new User(ubid);
LinkedList<Record> meetingEvent = new LinkedList<Record>();
LinkedList<Double> meetingRawWeight = new LinkedList<Double>();
int aind = 0;
... |
7c825797-03e3-4435-86d0-75c5b694d47a | public static double[] distanceBasedSumLogMeasure(int uaid, int ubid, boolean printFlag) {
User ua = new User(uaid);
User ub = new User(ubid);
Calendar cal1 = Calendar.getInstance();
Calendar cal2 = Calendar.getInstance();
// get the co-locating event
ArrayList<double[]> coloEnt = meetingWeight(ua, ub, M... |
63818a86-c3cc-483c-b983-7ba9d0798bb4 | public static double[] distanceBasedSumLogMeasure(int uaid, int ubid) {
return distanceBasedSumLogMeasure(uaid, ubid, false);
} |
3639f376-cf32-4818-9e36-b9d8a642685b | public static void writeOutDifferentMeasures(double para_c, int sampleRate) {
System.out.println("==========================================\nStart writeOutDifferentMeasures");
long t_start = System.currentTimeMillis();
User.addAllUser();
// User.addTopkUser(2800);
long t_mid = System.currentTimeMillis();
... |
37988aa2-52ab-4259-8221-23a85aab2889 | private static ArrayList<double[]> meetingWeight( User ua, User ub, double dist_threshold ) {
ArrayList<double[]> coloEnt = new ArrayList<double[]>();
int aind = 0;
int bind = 0;
while (aind < ua.records.size() && bind < ub.records.size()) {
Record ra = ua.records.get(aind);
Record rb = ub.records.get(bin... |
0babe470-0942-4d93-a43d-2434c80b2b7b | @SuppressWarnings("unused")
private static ArrayList<double[]> meetingWeight( User ua, User ub ) {
return meetingWeight(ua, ub, MiningFramework.distance_threshold);
} |
08d2ecbe-75dd-4e83-8e99-b4200c140d63 | private static TreeMap<String, Integer> locationDistribution( User ua ) {
TreeMap<String, Integer> freq = new TreeMap<String, Integer>();
for (Record r : ua.records) {
if (freq.containsKey(r.GPS())) {
int tmp = freq.get(r.GPS());
freq.put(r.GPS(), tmp + 1);
} else {
freq.put(r.GPS(), 1);
}
}
... |
a070f325-b9ca-4662-9804-9318a7d95f32 | public static void main(String argv[]) {
// MiningFramework cf = new MiningFramework();
// cf.locationDistancePowerLaw();
// cf.allPairMeetingFreq(false);
// cf.writeMeetingFreq();
// cf.remoteFriends();
// cf.writeRemoteFriend();
// cf.nonFriendsMeetingFreq();
// cf.writeNonFriendsMeeting();
// in... |
91ab0082-a86f-4764-a183-90b42d60884b | public DataPreProcessor() {
long t_start = System.currentTimeMillis();
System.out.println("Data pre-processing starts ...");
BufferedReader fin = null;
int c1=0, c2=0;
try {
// initialize all users
fin = new BufferedReader(new FileReader(rawCheckinsPath));
String l = fin.readLine();
l = fin.readLi... |
0ca37af3-c65f-457d-9f2e-a39a0a526e0f | public void generateUserFiles() {
long t_start = System.currentTimeMillis();
System.out.println("generateUserFiles starts ...");
File dir = new File(userDir);
dir.mkdir();
for (int uid : users.keySet()) {
try {
BufferedWriter fout = new BufferedWriter(new FileWriter(userDir + Integer.toString(uid)));
... |
90fb8372-f455-43d1-9737-45c411a2e890 | public void userDistribution() {
try {
BufferedWriter fout = new BufferedWriter(new FileWriter("res/checkinsN-dist.txt"));
for (int uid : users.keySet())
fout.write(Integer.toString(users.get(uid).size()) + "\n");
fout.close();
fout = new BufferedWriter(new FileWriter("res/friendsN-dist"));
for... |
9a614153-cbfa-45f1-9c0e-5a8a62fecd09 | public static void main(String[] args) {
DataPreProcessor dpp = new DataPreProcessor();
// dpp.generateUserFiles();
dpp.userDistribution();
System.out.println(String.format("#user: %d\t#user with friends: %d", users.size(), friendship.size()));
} |
670ba574-db22-49d8-874a-28b2e362e9c8 | public static void initializeUsers() {
long t_start = System.currentTimeMillis();
System.out.println("Start initializeUsers.");
User.addAllUser();
long t_mid = System.currentTimeMillis();
System.out.println(String.format("Initialize all users in %d seconds", (t_mid - t_start)/1000));
} |
903f3f44-6ede-4eaa-847b-abb4c6963b5a | public static LinkedList<Integer> shareLocationCount() {
long t_start = System.currentTimeMillis();
System.out.println("shareLocationCount starts ...");
HashMap<Integer, User> users = User.allUserSet;
int cnt = 0;
// get the first level iterator
Object[] array = users.values().toArray();
for (int i = 0... |
29787b1b-7659-44a2-bcf1-799946011202 | @SuppressWarnings("unused")
private static void writeOutPairColocations() {
System.out.println("Start writeOutPairColocations.");
try {
BufferedWriter fout = new BufferedWriter(new FileWriter("res/colocations.txt"));
String l = null;
for (User ua : User.allUserSet.values()) {
for (int ubid : ua.friend... |
b6521a43-9d38-4511-8c07-593c7e251dd7 | public static LinkedList<Double> RenyiEntropyDiversity() {
long t_start = System.currentTimeMillis();
int c1 = 0, c2 = 0;
double avg_freq1 = 0, avg_freq2 = 0;
for (int i = 0; i < FrequentPair.size(); i++) {
int uaid = FrequentPair.get(i)[0];
int ubid = FrequentPair.get(i)[1];
// 1. calculate the number... |
c37670dc-185c-4877-90da-0be94352cf6a | private static HashMap<Long, Integer> coLocationFreq( int user_a_id, int user_b_id) {
LinkedList<Record> ras = User.allUserSet.get(user_a_id).records;
LinkedList<Record> rbs = User.allUserSet.get(user_b_id).records;
HashMap<Long, Integer> loc_cnts = new HashMap<Long, Integer>();
// find records of user_a in ... |
ab5b08b9-cff8-4189-9509-0bf2a05704f8 | private static void initialTopKPair(int topk) {
System.out.println("Start initialTopKPair.");
try {
BufferedReader fin = new BufferedReader(new FileReader(String.format("topk_freqgt1-%d.txt", topk)));
String l = null;
BufferedReader fin2 = new BufferedReader(new FileReader(String.format("topk_colocations-%... |
02873cff-3238-436e-868f-260263ba34db | public static LinkedList<Double> weightedFrequency() {
long t_start = System.currentTimeMillis();
/*
* The calculation of location entropy is not efficient.
* The original execution time in HP laptop is 470s.
* After we factor out the location entropy calculation,
* now the execution time in HP is 4s.
... |
69db4fbe-b7c7-4d9b-ac9f-78925119c96b | private static void writePairMeasure() {
System.out.println("Start writePairMeasure");
System.out.println(String.format("%d %d %d %d", renyiDiversity.size(), weightedFreq.size(), frequency.size(), FrequentPair.size()));
long t_start = System.currentTimeMillis();
try {
BufferedWriter fout = new BufferedWriter... |
048022d3-9455-4e83-96f9-69c3acf9d6dc | private static HashMap<Long, Double> locationEntropyIDbased() {
long t_start = System.currentTimeMillis();
HashMap<Long, Double> loc_entro = new HashMap<Long, Double>();
HashMap<Long, HashMap<Integer, Integer>> loc_user_visit = new HashMap<Long, HashMap<Integer, Integer>>();
HashMap<Long, Integer> loc_total_vis... |
5ad4fa47-978a-4630-8995-36e70d851470 | private static HashMap<String, Double> locationEntropyGPSbased() {
long t_start = System.currentTimeMillis();
HashMap<String, Double> loc_entro = new HashMap<String, Double>();
HashMap<String, HashMap<Integer, Integer>> loc_user_visit = new HashMap<String, HashMap<Integer, Integer>>();
HashMap<String, Integer> ... |
9e4cc29c-c044-4a3e-8202-e1c9aa53b48b | public static void writeLocationEntropy(boolean IDflag, int sampleRate) {
// initialize users
int numUser = User.allUserSet.size();
Random r = new Random();
try {
HashMap<Integer, User> sampleSet = new HashMap<Integer, User>();
int c = 0;
for (User u : User.allUserSet.values()) {
if (r.nextDouble()... |
6d86a510-654e-4bc6-bcb7-f614406af2d8 | public static void writeLocationEntropy(boolean IDflag) {
writeLocationEntropy(IDflag, 100);
} |
9152f388-fb67-402c-b5e8-b1fadeb8b856 | public static HashMap<Long, Double> readLocationEntropyIDbased(int sampleRate) {
if (locationEntropy.isEmpty()) {
try {
BufferedReader fin;
if (sampleRate <= 100) {
fin = new BufferedReader( new FileReader(String.format("res/locationEntropy-%ds.txt", sampleRate)));
System.out.println(String.forma... |
7d64d619-0707-401f-8d53-25ea21d3030b | public static HashMap<Long, Double> readLocationEntropyIDbased() {
return readLocationEntropyIDbased(101);
} |
63c58e7b-b36b-41ee-9e67-71117cb4e7f7 | public static HashMap<String, Double> readLocationEntropyGPSbased( int sampleRate ) {
if (GPSEntropy.isEmpty()) {
String fname = null;
try {
BufferedReader fin;
if (sampleRate <= 100) {
fname = String.format("res/GPSEntropy-%ds.txt", sampleRate);
} else {
fname = "res/GPSEntropy.txt";
... |
ba12c8ab-48f6-4e5b-b993-3f302c48ef78 | public static LinkedList<Double> mutualInformation() {
long t_start = System.currentTimeMillis();
/*
* Speed boost
* the old method is not efficient, because it is not necessary to calculate the
* marginal entropy repeatedly.
*/
HashMap<Integer, Double> entro = new HashMap<Integer,Double>();
for (i... |
2713cbdf-2c9a-4644-8a30-addbeeda348b | private static double marginalEntropy(int uid) {
User u = User.allUserSet.get(uid);
HashMap<Long, Integer> locFreq = new HashMap<Long, Integer>();
// 1. count frequency
int totalLocationNum = u.records.size();
for (Record r : u.records) {
if (locFreq.containsKey(r.locID))
locFreq.put(r.locID, locFreq.g... |
4e73b11b-d64c-476c-89ff-5d53daf1888b | private static double jointEntropy( int uaid, int ubid ) {
User a = User.allUserSet.get(uaid);
User b = User.allUserSet.get(ubid);
HashMap<Long, HashMap<Long, Integer>> locFreq = new HashMap<>();
// 1. count frequency of multi-variables distribution
int totalCase = 0;
for (Record ar : a.records) {
for... |
55cdf147-4d87-49ed-be17-544a06509ecd | public static LinkedList<Double> mutualInformation_v2() {
long t_start = System.currentTimeMillis();
// 1. calculate the individual probability
HashMap<Integer, HashMap<Long, Double>> user_loc_prob = new HashMap<Integer, HashMap<Long, Double>>();
for (int[] p : FrequentPair) {
for (int i = 0; i < 2; i++ ) {
... |
fc1f36f0-fde7-4818-8de0-8f42ddf437fe | public static LinkedList<Double> interestingnessPAKDD() {
long t_start = System.currentTimeMillis();
for (int i = 0; i < FrequentPair.size(); i++ ) {
int uaid = FrequentPair.get(i)[0];
int ubid = FrequentPair.get(i)[1];
HashSet<String> colocs = FrequentPair_CoLocations.get(i);
// 1. calculate the coloca... |
705a1a9e-c195-45db-832c-dd7ba7fe7850 | private static double coLocationScore( int user_a_id, int user_b_id, HashSet<String> colocs ) {
LinkedList<Record> ra = User.allUserSet.get(user_a_id).records;
HashMap<String, LinkedList<Record>> raco = new HashMap<String, LinkedList<Record>>();
LinkedList<Record> rb = User.allUserSet.get(user_b_id).records;
Ha... |
9c1259e5-5a79-4edd-849f-3a11e9fc82f0 | public static LinkedList<Double> mutualEntropyOnColocation() {
long t_start = System.currentTimeMillis();
// calculate the marginal entropy of each user only once.
HashMap<Integer, Double> entro = new HashMap<Integer, Double>();
for (int i = 0; i < FrequentPair.size(); i++) {
// get two user
User a = User... |
e460142e-9c36-4bcb-8cf4-aa8c2249274b | private static double marginalEntropy(int uid, HashSet<String> locs) {
User u = User.allUserSet.get(uid);
HashMap<Long, Integer> locFreq = new HashMap<Long, Integer>();
// 1. count frequency on each locations in location set
int totalLocationNum = 0;
for (Record r : u.records) {
if (locs.contains(r.locID))... |
3ad9fc97-8041-4149-a6f3-0b83c6c61843 | private static double jointEntropy( int uaid, int ubid, HashSet<String> locs ) {
User a = User.allUserSet.get(uaid);
User b = User.allUserSet.get(ubid);
HashMap<Long, HashMap<Long, Integer>> locFreq = new HashMap<Long, HashMap<Long, Integer>>();
// 1. count frequency over given location set
int totalCase = 0;... |
e350b73f-dede-4eeb-a1df-8a93dafb6dbd | public static LinkedList<Double> mutualEntropyOnColocation_v2() {
long t_start = System.currentTimeMillis();
// 1. calculate the individual probability
HashMap<Integer, HashMap<Long, Double>> user_loc_prob = new HashMap<Integer, HashMap<Long, Double>>();
for (int i = 0; i < FrequentPair.size(); i++) {
int[] ... |
ed3b7840-d3ca-40f6-84e8-c39bab2c6857 | public static LinkedList<Double> mutualEntropyOnColocation_v3() {
long t_start = System.currentTimeMillis();
// 1. calculate the individual probability
HashMap<Integer, HashMap<Long, Double>> user_loc_prob = new HashMap<Integer, HashMap<Long, Double>>();
for (int i = 0; i < FrequentPair.size(); i++) {
int[] ... |
69956888-7059-4280-b786-ac72090d53c1 | public static LinkedList<Double> relativeMutualEntropy() {
for (int i = 0; i < FrequentPair.size(); i++) {
int uaid = FrequentPair.get(i)[0];
int ubid = FrequentPair.get(i)[1];
HashSet<String> locs = FrequentPair_CoLocations.get(i);
double entroA = marginalEntropy(uaid, locs);
double entroB = marginalE... |
cb43e564-fb40-4af4-b066-f4cec31f8c96 | @SuppressWarnings("unused")
private static void writeThreeMeasures(String filename) {
try{
BufferedWriter fout = new BufferedWriter(new FileWriter(filename));
// output Renyi entropy diversity
for (double d : renyiDiversity) {
fout.write(Double.toString(d) + "\t");
}
fout.write("\n");
// output... |
f04657b7-a6ee-4d11-8912-8188353fe23e | public static void main(String argv[]) {
// 1. find frequent user pair
initializeUsers();
shareLocationCount();
// 2. calculate feature one -- Renyi entropy based diversity
RenyiEntropyDiversity();
// // 3. calculate feature two -- weighted frequency, and frequency
weightedFrequency();
writePairMeasure(... |
d36777ed-7d39-443a-be05-385b854b5969 | public static void evaluateSIGMOD() {
// initialize top users
initializeUsers();
initialTopKPair(5000);
RenyiEntropyDiversity();
weightedFrequency();
writePairMeasure();
} |
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