Example usage for java.util Collections frequency

Introduction

In this page you can find the example usage for java.util Collections frequency.

Prototype

public static int frequency(Collection<?> c, Object o) 

Source Link

Document

Returns the number of elements in the specified collection equal to the specified object.

Usage

From source file:Main.java

public static void main(String[] args) {
    List<Integer> values = Arrays.asList(5, 0, 0, 2);
    int occurrences = Collections.frequency(values, 0);
    System.out.println("occurrences of zero is " + occurrences);

    occurrences = Collections.frequency(values, 5);
    System.out.println("occurrences of 5 is " + occurrences);
}

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From source file:Main.java

public static void main(String[] args) {
    Integer[] arr = { 1, 2, 3, 1, 4, 4, 1, 5 };
    System.out.println(Arrays.toString(arr));
    List<Integer> l = Arrays.asList(arr);

    System.out.println(l);/*from   w  ww .ja  v  a 2  s .com*/

    Set<Integer> set = new HashSet<Integer>();
    for (int j = 0; j < l.size(); j++) {
        if (Collections.frequency(l, l.get(j)) > 1) {
            set.add(l.get(j));
        }
    }
    System.out.println("dups are:" + set);
}

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From source file:Main.java

public static void main(String[] args) {
    String givenstring = "this is a test this is a another test";
    String[] words = givenstring.split(" ");

    ArrayList<String> arr = new ArrayList<String>();
    for (int i = 0; i < words.length; i++) {
        arr.add(words[i]);//  w w  w.  ja v a  2 s  .c o m
    }
    while (arr.size() != 0) {
        String word = arr.get(0);
        int frequency = Collections.frequency(arr, word);
        arr.removeAll(Collections.singleton(word));
        System.out.println(word + frequency);
    }
}

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From source file:Main.java

public static void main(String args[]) {
    // create array list object       
    List<String> arrlist = new ArrayList<String>();

    // populate the list
    arrlist.add("A");
    arrlist.add("B");
    arrlist.add("B");
    arrlist.add("B");
    arrlist.add("B");
    arrlist.add("from java2s.com");

    // check frequensy of 'B'
    int freq = Collections.frequency(arrlist, "B");

    System.out.println("Frequency of 'B' is: " + freq);
}

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From source file:Main.java

public static void main(String[] args) {

    String text = "a r b k c d se f g a d f s s f d s ft gh f ws w f v x s g h d h j j k f sd j e wed a d f";

    List<String> list = Arrays.asList(text.split(" "));

    Set<String> uniqueWords = new HashSet<String>(list);
    for (String word : uniqueWords) {
        System.out.println(word + ": " + Collections.frequency(list, word));
    }//from   w w w  . j  ava2 s.  co m
}

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From source file:Main.java

public static <T> Map<T, Integer> frequency(Collection<? extends T> collection) {
    Map<T, Integer> res = new TreeMap<>();
    for (T element : collection) {
        if (!res.containsKey(element)) {
            res.put(element, Collections.frequency(collection, element));
        }//from w  w w  . j  a v a  2  s. c  om
    }
    return res;
}

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From source file:utils.TextMatcher.java

public Map<String, Integer> matchesInText(String text, Collection<String> words) {
    Map<String, Integer> results = new HashMap<String, Integer>();
    String normalizedText = normalizer.normalizeText(text);
    List<String> tokenizedText = Arrays.asList(normalizedText.split("\\s+"));
    for (String word : words) {
        String normalizedWord = normalizer.normalizeText(word);
        int frequency = Collections.frequency(tokenizedText, normalizedWord);
        if (frequency > 0) {
            results.put(word, frequency);
        }//from  w  w  w .ja v  a  2  s .  c  o  m
    }
    return results;
}

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From source file:com.thoughtworks.go.config.RolesConfig.java

public boolean isUniqueRoleName(final CaseInsensitiveString roleName) {
    return Collections.frequency(roleNames(), roleName) <= 1;
}

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From source file:uniol.apt.analysis.synthesize.separation.KBoundedSeparation.java

/**
 * Construct a new instance for solving separation problems.
 * @param utility The region utility to use.
 * @param properties Properties that the calculated region should satisfy.
 * @param locationMap Mapping that describes the location of each event.
 * @throws UnsupportedPNPropertiesException If the requested properties are not supported.
 *//*  w  w w  . j  a  va 2s.c o m*/
public KBoundedSeparation(RegionUtility utility, PNProperties properties, String[] locationMap)
        throws UnsupportedPNPropertiesException {
    this.utility = utility;
    this.pure = properties.isPure();

    // Are we the right Separation implementation for the task?
    if (!properties.isKBounded())
        throw new UnsupportedPNPropertiesException();

    PNProperties supported = new PNProperties().requireKBounded(properties.getKForKBounded()).setPure(true);
    if (!supported.containsAll(properties))
        throw new UnsupportedPNPropertiesException();

    // We do not support locations, so no locations may be specified
    if (Collections.frequency(Arrays.asList(locationMap), null) != locationMap.length)
        throw new UnsupportedPNPropertiesException();

    // Check our preconditions
    TransitionSystem ts = utility.getTransitionSystem();
    if (!new TotallyReachable(ts).isTotallyReachable())
        throw new UnsupportedPNPropertiesException();
    Set<Event> events = new HashSet<>();
    for (Arc arc : ts.getEdges())
        events.add(arc.getEvent());
    if (!events.equals(ts.getAlphabetEvents()))
        throw new UnsupportedPNPropertiesException();

    // Ok, we can do it. Now do it.
    if (properties.getKForKBounded() == 0)
        // There are no 0-bounded regions that solve any kind of separation problem.
        // (Except if the alphabet has events that do not occur on any arc, which is not supported)
        return;
    generateAllRegions(properties.getKForKBounded());
}

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From source file:calculators.Calculator.java

/**
 * Creates the HashMap that states which sample belongs to which sample
 * group. It can be done on index because the order of the samples in the
 * group file is the same as the order of the samples in the intensity file.
 * The group file does not contain the sample names so this is also the only
 * way to do it/*from   w ww. j a  v  a  2 s  .  co  m*/
 *
 * @param group_file the group file
 * @param control the control group
 * @param target the target group
 * @throws FileNotFoundException
 * @throws IOException
 */
private void createGroupMap(final File group_file, final String control, final String target)
        throws FileNotFoundException, IOException {
    BufferedReader br = new BufferedReader(new FileReader(group_file.getAbsolutePath()));
    String line;
    LinkedList<String> temporaryMap = new LinkedList<>();
    while ((line = br.readLine()) != null) {
        temporaryMap.add(line.split("\\s+")[1]);
    }
    Integer index = 0;
    for (String key : groupMap.keySet()) {
        groupMap.replace(key, temporaryMap.get(index));
        index++;
    }
    controlSize = Collections.frequency(new ArrayList<>(groupMap.values()), control);
    targetSize = Collections.frequency(new ArrayList<>(groupMap.values()), target);
}

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