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12,200
youngmonkeys/ezyfox-sfs2x
src/main/java/com/tvd12/ezyfox/sfs2x/serializer/AgentSerializer.java
AgentSerializer.getValue
@SuppressWarnings("rawtypes") protected Object getValue(GetterMethodCover method, Object value) { if(method.isByte()) { value = ((Byte)value).intValue(); } else if(method.isChar()) { value = (int)((Character)value).charValue(); } else if(method.isFloat()) { value = ((Float)value).doubleValue(); } else if(method.isLong()) { value = ((Long)value).doubleValue(); } else if(method.isShort()) { value = ((Short)value).intValue(); } else if(method.isObject()) { value = parseObject(method, value); } else if(method.isObjectArray()) { value = parseArray(method, value); } else if(method.isArrayObjectCollection()) { return parseArrayObjectCollection(method, (Collection)value); } else if(method.isObjectCollection()) { return parseObjectCollection(method, (Collection)value); } else if(method.isArrayCollection()) { return parseArrayCollection(method, (Collection)value); } else if(method.isArray() || method.isColection()) { return transformSimpleValue(value); } return value; }
java
@SuppressWarnings("rawtypes") protected Object getValue(GetterMethodCover method, Object value) { if(method.isByte()) { value = ((Byte)value).intValue(); } else if(method.isChar()) { value = (int)((Character)value).charValue(); } else if(method.isFloat()) { value = ((Float)value).doubleValue(); } else if(method.isLong()) { value = ((Long)value).doubleValue(); } else if(method.isShort()) { value = ((Short)value).intValue(); } else if(method.isObject()) { value = parseObject(method, value); } else if(method.isObjectArray()) { value = parseArray(method, value); } else if(method.isArrayObjectCollection()) { return parseArrayObjectCollection(method, (Collection)value); } else if(method.isObjectCollection()) { return parseObjectCollection(method, (Collection)value); } else if(method.isArrayCollection()) { return parseArrayCollection(method, (Collection)value); } else if(method.isArray() || method.isColection()) { return transformSimpleValue(value); } return value; }
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Call getter method and get value @param method structure of getter method @param value object to call method @return a value
[ "Call", "getter", "method", "and", "get", "value" ]
7e004033a3b551c3ae970a0c8f45db7b1ec144de
https://github.com/youngmonkeys/ezyfox-sfs2x/blob/7e004033a3b551c3ae970a0c8f45db7b1ec144de/src/main/java/com/tvd12/ezyfox/sfs2x/serializer/AgentSerializer.java#L64-L100
12,201
youngmonkeys/ezyfox-sfs2x
src/main/java/com/tvd12/ezyfox/sfs2x/serverhandler/BuddyListInitEventHandler.java
BuddyListInitEventHandler.updateBuddyProperties
private void updateBuddyProperties(BuddyProperties buddyProperties, ApiBuddyProperties apiBuddyProperties) { apiBuddyProperties.setInited(buddyProperties.isInited()); apiBuddyProperties.setNickName(buddyProperties.getNickName()); apiBuddyProperties.setOnline(buddyProperties.isOnline()); apiBuddyProperties.setState(buddyProperties.getState()); }
java
private void updateBuddyProperties(BuddyProperties buddyProperties, ApiBuddyProperties apiBuddyProperties) { apiBuddyProperties.setInited(buddyProperties.isInited()); apiBuddyProperties.setNickName(buddyProperties.getNickName()); apiBuddyProperties.setOnline(buddyProperties.isOnline()); apiBuddyProperties.setState(buddyProperties.getState()); }
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Update buddy properties of user @param buddyProperties smartfox user's buddy properties @param apiBuddyProperties api user's buddy properties
[ "Update", "buddy", "properties", "of", "user" ]
7e004033a3b551c3ae970a0c8f45db7b1ec144de
https://github.com/youngmonkeys/ezyfox-sfs2x/blob/7e004033a3b551c3ae970a0c8f45db7b1ec144de/src/main/java/com/tvd12/ezyfox/sfs2x/serverhandler/BuddyListInitEventHandler.java#L59-L65
12,202
mgormley/pacaya
src/main/java/edu/jhu/pacaya/gm/model/FgModel.java
FgModel.apply
void apply(final LambdaUnaryOpDouble lambda) { params.apply(new FnIntDoubleToDouble() { @Override public double call(int idx, double val) { return lambda.call(val); } }); }
java
void apply(final LambdaUnaryOpDouble lambda) { params.apply(new FnIntDoubleToDouble() { @Override public double call(int idx, double val) { return lambda.call(val); } }); }
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ONLY FOR TESTING.
[ "ONLY", "FOR", "TESTING", "." ]
786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/gm/model/FgModel.java#L166-L173
12,203
JodaOrg/joda-collect
src/main/java/org/joda/collect/grid/ImmutableCell.java
ImmutableCell.validateCounts
ImmutableCell<V> validateCounts(int rowCount, int columnCount) { if (row >= rowCount || column >= columnCount) { throw new IndexOutOfBoundsException("Invalid row-column: " + row + "," + column + " for grid " + rowCount + "x" + columnCount); } return this; }
java
ImmutableCell<V> validateCounts(int rowCount, int columnCount) { if (row >= rowCount || column >= columnCount) { throw new IndexOutOfBoundsException("Invalid row-column: " + row + "," + column + " for grid " + rowCount + "x" + columnCount); } return this; }
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Validates this cell against the specified counts.
[ "Validates", "this", "cell", "against", "the", "specified", "counts", "." ]
a4b05d5eebad5beb41715c0678cf11835cf0fa3f
https://github.com/JodaOrg/joda-collect/blob/a4b05d5eebad5beb41715c0678cf11835cf0fa3f/src/main/java/org/joda/collect/grid/ImmutableCell.java#L118-L123
12,204
mgormley/pacaya
src/main/java/edu/jhu/pacaya/sch/tasks/SumPaths.java
SumPaths.approxSumPaths
public static double approxSumPaths(WeightedIntDiGraph g, RealVector startWeights, RealVector endWeights, Iterator<DiEdge> seq, DoubleConsumer c) { // we keep track of the total weight of discovered paths ending along // each edge and the total weight // of all paths ending at each node (including the empty path); on each // time step, we // at each step, we pick an edge (s, t), update the sum at s, and extend // each of those (including // the empty path starting there) with the edge (s, t) DefaultDict<DiEdge, Double> prefixWeightsEndingAt = new DefaultDict<DiEdge, Double>(Void -> 0.0); // we'll maintain node sums and overall sum with subtraction rather than // re-adding (it's an approximation anyway!) RealVector currentSums = startWeights.copy(); double currentTotal = currentSums.dotProduct(endWeights); if (c != null) { c.accept(currentTotal); } for (DiEdge e : ScheduleUtils.iterable(seq)) { int s = e.get1(); int t = e.get2(); // compute the new sums double oldTargetSum = currentSums.getEntry(t); double oldEdgeSum = prefixWeightsEndingAt.get(e); // new edge sum is the source sum times the edge weight double newEdgeSum = currentSums.getEntry(s) * g.getWeight(e); // new target sum is the old target sum plus the difference between // the new and old edge sums double newTargetSum = oldTargetSum + (newEdgeSum - oldEdgeSum); // the new total is the old total plus the difference in new and // target double newTotal = currentTotal + (newTargetSum - oldTargetSum) * endWeights.getEntry(t); // store the new sums prefixWeightsEndingAt.put(e, newEdgeSum); currentSums.setEntry(t, newTargetSum); currentTotal = newTotal; // and report the new total to the consumer if (c != null) { c.accept(currentTotal); } } return currentTotal; }
java
public static double approxSumPaths(WeightedIntDiGraph g, RealVector startWeights, RealVector endWeights, Iterator<DiEdge> seq, DoubleConsumer c) { // we keep track of the total weight of discovered paths ending along // each edge and the total weight // of all paths ending at each node (including the empty path); on each // time step, we // at each step, we pick an edge (s, t), update the sum at s, and extend // each of those (including // the empty path starting there) with the edge (s, t) DefaultDict<DiEdge, Double> prefixWeightsEndingAt = new DefaultDict<DiEdge, Double>(Void -> 0.0); // we'll maintain node sums and overall sum with subtraction rather than // re-adding (it's an approximation anyway!) RealVector currentSums = startWeights.copy(); double currentTotal = currentSums.dotProduct(endWeights); if (c != null) { c.accept(currentTotal); } for (DiEdge e : ScheduleUtils.iterable(seq)) { int s = e.get1(); int t = e.get2(); // compute the new sums double oldTargetSum = currentSums.getEntry(t); double oldEdgeSum = prefixWeightsEndingAt.get(e); // new edge sum is the source sum times the edge weight double newEdgeSum = currentSums.getEntry(s) * g.getWeight(e); // new target sum is the old target sum plus the difference between // the new and old edge sums double newTargetSum = oldTargetSum + (newEdgeSum - oldEdgeSum); // the new total is the old total plus the difference in new and // target double newTotal = currentTotal + (newTargetSum - oldTargetSum) * endWeights.getEntry(t); // store the new sums prefixWeightsEndingAt.put(e, newEdgeSum); currentSums.setEntry(t, newTargetSum); currentTotal = newTotal; // and report the new total to the consumer if (c != null) { c.accept(currentTotal); } } return currentTotal; }
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Computes the approximate sum of paths through the graph where the weight of each path is the product of edge weights along the path; If consumer c is not null, it will be given the intermediate estimates as they are available
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786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/sch/tasks/SumPaths.java#L170-L213
12,205
mgormley/pacaya
src/main/java/edu/jhu/pacaya/util/hash/MurmurHash.java
MurmurHash.hash32
public static int hash32(final long data, int seed) { // 'm' and 'r' are mixing constants generated offline. // They're not really 'magic', they just happen to work well. final int m = 0x5bd1e995; final int r = 24; // Initialize the hash to a random value final int length = 8; int h = seed^length; for (int i=0; i<2; i++) { int k = (i==0) ? (int) (data & 0xffffffffL) : (int) ((data >>> 32) & 0xffffffffL); k *= m; k ^= k >>> r; k *= m; h *= m; h ^= k; } h ^= h >>> 13; h *= m; h ^= h >>> 15; return h; }
java
public static int hash32(final long data, int seed) { // 'm' and 'r' are mixing constants generated offline. // They're not really 'magic', they just happen to work well. final int m = 0x5bd1e995; final int r = 24; // Initialize the hash to a random value final int length = 8; int h = seed^length; for (int i=0; i<2; i++) { int k = (i==0) ? (int) (data & 0xffffffffL) : (int) ((data >>> 32) & 0xffffffffL); k *= m; k ^= k >>> r; k *= m; h *= m; h ^= k; } h ^= h >>> 13; h *= m; h ^= h >>> 15; return h; }
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My conversion of MurmurHash to take a long as input.
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786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/util/hash/MurmurHash.java#L38-L62
12,206
mgormley/pacaya
src/main/java/edu/jhu/pacaya/autodiff/vartensor/LazyVarTensor.java
LazyVarTensor.ensureVarTensor
private void ensureVarTensor() { if (vt == null) { log.warn("Generating VarTensor for a GlobalFactor. This should only ever be done during testing."); vt = BruteForceInferencer.safeNewVarTensor(s, f); if (fillVal != null) { vt.fill(fillVal); } } }
java
private void ensureVarTensor() { if (vt == null) { log.warn("Generating VarTensor for a GlobalFactor. This should only ever be done during testing."); vt = BruteForceInferencer.safeNewVarTensor(s, f); if (fillVal != null) { vt.fill(fillVal); } } }
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Ensures that the VarTensor is loaded.
[ "Ensures", "that", "the", "VarTensor", "is", "loaded", "." ]
786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/autodiff/vartensor/LazyVarTensor.java#L63-L71
12,207
youngmonkeys/ezyfox-sfs2x
src/main/java/com/tvd12/ezyfox/sfs2x/serverhandler/ServerUserEventHandler.java
ServerUserEventHandler.checkUserAgent
protected Object checkUserAgent(ServerUserHandlerClass handler, ApiUser userAgent) { if(handler.getUserClass().isAssignableFrom(userAgent.getClass())) return userAgent; return UserAgentUtil.getGameUser(userAgent, handler.getUserClass()); }
java
protected Object checkUserAgent(ServerUserHandlerClass handler, ApiUser userAgent) { if(handler.getUserClass().isAssignableFrom(userAgent.getClass())) return userAgent; return UserAgentUtil.getGameUser(userAgent, handler.getUserClass()); }
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Check whether context of user agent is application or game @param handler structure of handler @param userAgent user agent object @return user agent or game user agent object
[ "Check", "whether", "context", "of", "user", "agent", "is", "application", "or", "game" ]
7e004033a3b551c3ae970a0c8f45db7b1ec144de
https://github.com/youngmonkeys/ezyfox-sfs2x/blob/7e004033a3b551c3ae970a0c8f45db7b1ec144de/src/main/java/com/tvd12/ezyfox/sfs2x/serverhandler/ServerUserEventHandler.java#L48-L52
12,208
mgormley/pacaya
src/main/java/edu/jhu/pacaya/hypergraph/Hyperedge.java
Hyperedge.getLabel
public String getLabel() { if (label == null) { // Lazily construct an edge label from the head and tail nodes. StringBuilder label = new StringBuilder(); label.append(headNode.getLabel()); label.append("<--"); for (Hypernode tailNode : tailNodes) { label.append(tailNode.getLabel()); label.append(","); } if (tailNodes.length > 0) { label.deleteCharAt(label.length()-1); } return label.toString(); } return label; }
java
public String getLabel() { if (label == null) { // Lazily construct an edge label from the head and tail nodes. StringBuilder label = new StringBuilder(); label.append(headNode.getLabel()); label.append("<--"); for (Hypernode tailNode : tailNodes) { label.append(tailNode.getLabel()); label.append(","); } if (tailNodes.length > 0) { label.deleteCharAt(label.length()-1); } return label.toString(); } return label; }
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Gets a name for this edge.
[ "Gets", "a", "name", "for", "this", "edge", "." ]
786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/hypergraph/Hyperedge.java#L41-L57
12,209
youngmonkeys/ezyfox-sfs2x
src/main/java/com/tvd12/ezyfox/sfs2x/util/AgentUtil.java
AgentUtil.getUserAgent
public static ApiUser getUserAgent(User sfsUser) { Object userAgent = sfsUser.getProperty(APIKey.USER); if(userAgent == null) throw new RuntimeException("Can not get user agent"); return (ApiUser)userAgent; }
java
public static ApiUser getUserAgent(User sfsUser) { Object userAgent = sfsUser.getProperty(APIKey.USER); if(userAgent == null) throw new RuntimeException("Can not get user agent"); return (ApiUser)userAgent; }
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Get user agent object mapped to smartfox user object @param sfsUser smartfox user object @return user agent object
[ "Get", "user", "agent", "object", "mapped", "to", "smartfox", "user", "object" ]
7e004033a3b551c3ae970a0c8f45db7b1ec144de
https://github.com/youngmonkeys/ezyfox-sfs2x/blob/7e004033a3b551c3ae970a0c8f45db7b1ec144de/src/main/java/com/tvd12/ezyfox/sfs2x/util/AgentUtil.java#L27-L32
12,210
youngmonkeys/ezyfox-sfs2x
src/main/java/com/tvd12/ezyfox/sfs2x/util/AgentUtil.java
AgentUtil.getRoomAgent
public static ApiRoom getRoomAgent(Room sfsRoom) { Object roomAgent = sfsRoom.getProperty(APIKey.ROOM); if(roomAgent == null) throw new RuntimeException("Can not get user agent"); return (ApiRoom)roomAgent; }
java
public static ApiRoom getRoomAgent(Room sfsRoom) { Object roomAgent = sfsRoom.getProperty(APIKey.ROOM); if(roomAgent == null) throw new RuntimeException("Can not get user agent"); return (ApiRoom)roomAgent; }
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Get room agent object mapped to smartfox room object @param sfsRoom smartfox room object @return room agent object
[ "Get", "room", "agent", "object", "mapped", "to", "smartfox", "room", "object" ]
7e004033a3b551c3ae970a0c8f45db7b1ec144de
https://github.com/youngmonkeys/ezyfox-sfs2x/blob/7e004033a3b551c3ae970a0c8f45db7b1ec144de/src/main/java/com/tvd12/ezyfox/sfs2x/util/AgentUtil.java#L40-L45
12,211
mgormley/pacaya
src/main/java/edu/jhu/pacaya/util/collections/QMaps.java
QMaps.zip
public static <X,Y> Map<X,Y> zip(List<X> keys, List<Y> values) { if (keys.size() != values.size()) { throw new IllegalArgumentException("Lengths are not equal"); } Map<X,Y> map = new HashMap<>(keys.size()); for (int i=0; i<keys.size(); i++) { map.put(keys.get(i), values.get(i)); } return map; }
java
public static <X,Y> Map<X,Y> zip(List<X> keys, List<Y> values) { if (keys.size() != values.size()) { throw new IllegalArgumentException("Lengths are not equal"); } Map<X,Y> map = new HashMap<>(keys.size()); for (int i=0; i<keys.size(); i++) { map.put(keys.get(i), values.get(i)); } return map; }
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Like Python's zip, this creates a map by zipping together the key and values lists.
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786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/util/collections/QMaps.java#L166-L175
12,212
mgormley/pacaya
src/main/java/edu/jhu/pacaya/gm/feat/ObsFeatureConjoiner.java
ObsFeatureConjoiner.extractAllFeats
private void extractAllFeats(FgExampleList data, FactorTemplateList templates) { // Create a "no-op" counter. IFgModel counts = new IFgModel() { @Override public void addAfterScaling(FeatureVector fv, double multiplier) { } @Override public void add(int feat, double addend) { } }; // Loop over all factors in the dataset. for (int i=0; i<data.size(); i++) { if (i % 1000 == 0) { log.debug("Processing example: " + i); } LFgExample ex = data.get(i); FactorGraph fgLat = MarginalLogLikelihood.getFgLat(ex.getFactorGraph(), ex.getGoldConfig()); // Create a "no-op" inferencer, which returns arbitrary marginals. NoOpInferencer inferencer = new NoOpInferencer(ex.getFactorGraph()); for (int a=0; a<ex.getFactorGraph().getNumFactors(); a++) { Factor f = fgLat.getFactor(a); if (f instanceof ObsFeatureCarrier && f instanceof TemplateFactor) { // For each observation function extractor. int t = templates.getTemplateId((TemplateFactor) f); if (t != -1) { ((ObsFeatureCarrier) f).getObsFeatures(); } } else { // For each standard factor. f = ex.getFactorGraph().getFactor(a); if (f instanceof GlobalFactor) { ((GlobalFactor) f).addExpectedPartials(counts, 0, inferencer, a); } else { VarTensor marg = inferencer.getMarginalsForFactorId(a); f.addExpectedPartials(counts, marg, 0); } } } } }
java
private void extractAllFeats(FgExampleList data, FactorTemplateList templates) { // Create a "no-op" counter. IFgModel counts = new IFgModel() { @Override public void addAfterScaling(FeatureVector fv, double multiplier) { } @Override public void add(int feat, double addend) { } }; // Loop over all factors in the dataset. for (int i=0; i<data.size(); i++) { if (i % 1000 == 0) { log.debug("Processing example: " + i); } LFgExample ex = data.get(i); FactorGraph fgLat = MarginalLogLikelihood.getFgLat(ex.getFactorGraph(), ex.getGoldConfig()); // Create a "no-op" inferencer, which returns arbitrary marginals. NoOpInferencer inferencer = new NoOpInferencer(ex.getFactorGraph()); for (int a=0; a<ex.getFactorGraph().getNumFactors(); a++) { Factor f = fgLat.getFactor(a); if (f instanceof ObsFeatureCarrier && f instanceof TemplateFactor) { // For each observation function extractor. int t = templates.getTemplateId((TemplateFactor) f); if (t != -1) { ((ObsFeatureCarrier) f).getObsFeatures(); } } else { // For each standard factor. f = ex.getFactorGraph().getFactor(a); if (f instanceof GlobalFactor) { ((GlobalFactor) f).addExpectedPartials(counts, 0, inferencer, a); } else { VarTensor marg = inferencer.getMarginalsForFactorId(a); f.addExpectedPartials(counts, marg, 0); } } } } }
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Loops through all examples to create the features, thereby ensuring that the FTS are initialized.
[ "Loops", "through", "all", "examples", "to", "create", "the", "features", "thereby", "ensuring", "that", "the", "FTS", "are", "initialized", "." ]
786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/gm/feat/ObsFeatureConjoiner.java#L224-L262
12,213
mgormley/pacaya
src/main/java/edu/jhu/pacaya/gm/feat/ObsFeatureConjoiner.java
ObsFeatureConjoiner.countFeatures
private IntIntDenseVector[][] countFeatures(FgExampleList data, FactorTemplateList templates) { IntIntDenseVector[][] counts = new IntIntDenseVector[numTemplates][]; for (int t=0; t<numTemplates; t++) { FactorTemplate template = templates.get(t); int numConfigs = template.getNumConfigs(); int numFeats = template.getAlphabet().size(); counts[t] = new IntIntDenseVector[numConfigs]; for (int c=0; c<numConfigs; c++) { counts[t][c] = new IntIntDenseVector(numFeats); } } for (int i=0; i<data.size(); i++) { LFgExample ex = data.get(i); FactorGraph fg = ex.getFactorGraph(); for (int a=0; a<ex.getFactorGraph().getNumFactors(); a++) { Factor f = fg.getFactor(a); if (f instanceof ObsFeatureCarrier && f instanceof TemplateFactor) { int t = templates.getTemplateId((TemplateFactor) f); if (t != -1) { FeatureVector fv = ((ObsFeatureCarrier) f).getObsFeatures(); // We must clamp the predicted variables and loop over the latent ones. VarConfig predVc = ex.getGoldConfigPred(a); IntIter iter = IndexForVc.getConfigIter(ex.getFactorGraph().getFactor(a).getVars(), predVc); while (iter.hasNext()) { // The configuration of all the latent/predicted variables, // where the predicted variables have been clamped. int config = iter.next(); for (IntDoubleEntry entry : fv) { counts[t][config].add(entry.index(), 1); } } } } } } return counts; }
java
private IntIntDenseVector[][] countFeatures(FgExampleList data, FactorTemplateList templates) { IntIntDenseVector[][] counts = new IntIntDenseVector[numTemplates][]; for (int t=0; t<numTemplates; t++) { FactorTemplate template = templates.get(t); int numConfigs = template.getNumConfigs(); int numFeats = template.getAlphabet().size(); counts[t] = new IntIntDenseVector[numConfigs]; for (int c=0; c<numConfigs; c++) { counts[t][c] = new IntIntDenseVector(numFeats); } } for (int i=0; i<data.size(); i++) { LFgExample ex = data.get(i); FactorGraph fg = ex.getFactorGraph(); for (int a=0; a<ex.getFactorGraph().getNumFactors(); a++) { Factor f = fg.getFactor(a); if (f instanceof ObsFeatureCarrier && f instanceof TemplateFactor) { int t = templates.getTemplateId((TemplateFactor) f); if (t != -1) { FeatureVector fv = ((ObsFeatureCarrier) f).getObsFeatures(); // We must clamp the predicted variables and loop over the latent ones. VarConfig predVc = ex.getGoldConfigPred(a); IntIter iter = IndexForVc.getConfigIter(ex.getFactorGraph().getFactor(a).getVars(), predVc); while (iter.hasNext()) { // The configuration of all the latent/predicted variables, // where the predicted variables have been clamped. int config = iter.next(); for (IntDoubleEntry entry : fv) { counts[t][config].add(entry.index(), 1); } } } } } } return counts; }
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Counts the number of times each feature appears in the gold training data.
[ "Counts", "the", "number", "of", "times", "each", "feature", "appears", "in", "the", "gold", "training", "data", "." ]
786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/gm/feat/ObsFeatureConjoiner.java#L267-L303
12,214
youngmonkeys/ezyfox-sfs2x
src/main/java/com/tvd12/ezyfox/sfs2x/serverhandler/BuddyEventHandler.java
BuddyEventHandler.notifyToHandler
protected void notifyToHandler(ServerHandlerClass handler, ApiZone zone, ApiBuddyImpl buddy) { ReflectMethodUtil.invokeHandleMethod( handler.getHandleMethod(), handler.newInstance(), context, zone, buddy); }
java
protected void notifyToHandler(ServerHandlerClass handler, ApiZone zone, ApiBuddyImpl buddy) { ReflectMethodUtil.invokeHandleMethod( handler.getHandleMethod(), handler.newInstance(), context, zone, buddy); }
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Notify event to handler @param handler structure of handler class @param zone api zone reference @param buddy api buddy reference
[ "Notify", "event", "to", "handler" ]
7e004033a3b551c3ae970a0c8f45db7b1ec144de
https://github.com/youngmonkeys/ezyfox-sfs2x/blob/7e004033a3b551c3ae970a0c8f45db7b1ec144de/src/main/java/com/tvd12/ezyfox/sfs2x/serverhandler/BuddyEventHandler.java#L73-L79
12,215
mgormley/pacaya
src/main/java/edu/jhu/pacaya/autodiff/VTensor.java
VTensor.checkIndices
private void checkIndices(int... indices) { if (indices.length != dims.length) { throw new IllegalArgumentException(String.format( "Indices array is not the correct length. expected=%d actual=%d", indices.length, dims.length)); } for (int i=0; i<indices.length; i++) { if (indices[i] < 0 || dims[i] <= indices[i]) { throw new IllegalArgumentException(String.format( "Indices array contains an index that is out of bounds: i=%d index=%d", i, indices[i])); } } }
java
private void checkIndices(int... indices) { if (indices.length != dims.length) { throw new IllegalArgumentException(String.format( "Indices array is not the correct length. expected=%d actual=%d", indices.length, dims.length)); } for (int i=0; i<indices.length; i++) { if (indices[i] < 0 || dims[i] <= indices[i]) { throw new IllegalArgumentException(String.format( "Indices array contains an index that is out of bounds: i=%d index=%d", i, indices[i])); } } }
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Checks that the indices are valid.
[ "Checks", "that", "the", "indices", "are", "valid", "." ]
786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/autodiff/VTensor.java#L196-L209
12,216
mgormley/pacaya
src/main/java/edu/jhu/pacaya/autodiff/VTensor.java
VTensor.getValuesAsNativeArray
public double[] getValuesAsNativeArray() { double[] vs = new double[this.size()]; for (int c = 0; c < vs.length; c++) { vs[c] = getValue(c); } return vs; }
java
public double[] getValuesAsNativeArray() { double[] vs = new double[this.size()]; for (int c = 0; c < vs.length; c++) { vs[c] = getValue(c); } return vs; }
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Gets a copy of the internal values as a native array.
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786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/autodiff/VTensor.java#L627-L633
12,217
mgormley/pacaya
src/main/java/edu/jhu/pacaya/autodiff/VTensor.java
VTensor.combine
public static VTensor combine(VTensor t1, VTensor t2) { checkSameDims(t1, t2); checkSameAlgebra(t1, t2); int[] dims3 = IntArrays.insertEntry(t1.getDims(), 0, 2); VTensor y = new VTensor(t1.s, dims3); y.addTensor(t1, 0, 0); y.addTensor(t2, 0, 1); return y; }
java
public static VTensor combine(VTensor t1, VTensor t2) { checkSameDims(t1, t2); checkSameAlgebra(t1, t2); int[] dims3 = IntArrays.insertEntry(t1.getDims(), 0, 2); VTensor y = new VTensor(t1.s, dims3); y.addTensor(t1, 0, 0); y.addTensor(t2, 0, 1); return y; }
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Combines two identically sized tensors by adding an initial dimension of size 2. @param t1 The first tensor to add. @param t2 The second tensor to add. @return The combined tensor.
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786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/autodiff/VTensor.java#L668-L677
12,218
mgormley/pacaya
src/main/java/edu/jhu/pacaya/gm/train/DepTensorFromBeliefs.java
DepTensorFromBeliefs.guessNumWords
static int guessNumWords(Beliefs b) { int n = -1; for (int v=0; v<b.varBeliefs.length; v++) { Var var = b.varBeliefs[v].getVars().get(0); if (var instanceof LinkVar) { LinkVar link = (LinkVar) var; int p = link.getParent(); int c = link.getChild(); n = Math.max(n, Math.max(p, c)); } } return n+1; }
java
static int guessNumWords(Beliefs b) { int n = -1; for (int v=0; v<b.varBeliefs.length; v++) { Var var = b.varBeliefs[v].getVars().get(0); if (var instanceof LinkVar) { LinkVar link = (LinkVar) var; int p = link.getParent(); int c = link.getChild(); n = Math.max(n, Math.max(p, c)); } } return n+1; }
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Gets the maximum index of a parent or child in a LinkVar, plus one.
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786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/gm/train/DepTensorFromBeliefs.java#L74-L86
12,219
jeffreyning/nh-micro
nh-micro-template/src/main/java/com/nh/micro/template/MicroServiceTemplateSupport.java
MicroServiceTemplateSupport.getSingleInfoServiceByRep
public Map getSingleInfoServiceByRep(String sql,Map requestParamMap) throws Exception{ List placeList=new ArrayList(); sqlTemplateService(sql,requestParamMap,placeList); String realSql=sqlTemplateService(sql,requestParamMap,placeList);; Map retMap= getInnerDao().querySingleObjJoinByCondition(realSql,placeList.toArray()); CheckModelTypeUtil.addMetaCols(retMap); CheckModelTypeUtil.changeNoStrCols(retMap); return retMap; }
java
public Map getSingleInfoServiceByRep(String sql,Map requestParamMap) throws Exception{ List placeList=new ArrayList(); sqlTemplateService(sql,requestParamMap,placeList); String realSql=sqlTemplateService(sql,requestParamMap,placeList);; Map retMap= getInnerDao().querySingleObjJoinByCondition(realSql,placeList.toArray()); CheckModelTypeUtil.addMetaCols(retMap); CheckModelTypeUtil.changeNoStrCols(retMap); return retMap; }
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add 20190430 by ning
[ "add", "20190430", "by", "ning" ]
f1cb420a092f8ba94317519ede739974decb5617
https://github.com/jeffreyning/nh-micro/blob/f1cb420a092f8ba94317519ede739974decb5617/nh-micro-template/src/main/java/com/nh/micro/template/MicroServiceTemplateSupport.java#L2182-L2190
12,220
mgormley/pacaya
src/main/java/edu/jhu/pacaya/gm/model/globalfac/ConstituencyTreeFactor.java
ConstituencyTreeFactor.setOutMsgs
private void setOutMsgs(VarTensor outMsg, SpanVar span, double outMsgTrue, double outMsgFalse) { // Set the outgoing messages. Algebra s = outMsg.getAlgebra(); outMsg.setValue(SpanVar.FALSE, s.fromLogProb(outMsgFalse)); outMsg.setValue(SpanVar.TRUE, s.fromLogProb(outMsgTrue)); if (log.isTraceEnabled()) { log.trace(String.format("outMsgTrue: %s = %.2f", span.getName(), outMsg.getValue(LinkVar.TRUE))); log.trace(String.format("outMsgFalse: %s = %.2f", span.getName(), outMsg.getValue(LinkVar.FALSE))); } assert !outMsg.containsBadValues() : "message = " + outMsg; }
java
private void setOutMsgs(VarTensor outMsg, SpanVar span, double outMsgTrue, double outMsgFalse) { // Set the outgoing messages. Algebra s = outMsg.getAlgebra(); outMsg.setValue(SpanVar.FALSE, s.fromLogProb(outMsgFalse)); outMsg.setValue(SpanVar.TRUE, s.fromLogProb(outMsgTrue)); if (log.isTraceEnabled()) { log.trace(String.format("outMsgTrue: %s = %.2f", span.getName(), outMsg.getValue(LinkVar.TRUE))); log.trace(String.format("outMsgFalse: %s = %.2f", span.getName(), outMsg.getValue(LinkVar.FALSE))); } assert !outMsg.containsBadValues() : "message = " + outMsg; }
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Sets the outgoing messages.
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786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/gm/model/globalfac/ConstituencyTreeFactor.java#L310-L323
12,221
mgormley/pacaya
src/main/java/edu/jhu/pacaya/gm/model/globalfac/ConstituencyTreeFactor.java
ConstituencyTreeFactor.getChart
private static boolean[][] getChart(int n, VarConfig vc) { boolean[][] chart = new boolean[n][n+1]; int count = 0; for (Var v : vc.getVars()) { SpanVar span = (SpanVar) v; chart[span.getStart()][span.getEnd()] = (vc.getState(span) == SpanVar.TRUE); count++; } if (count != (n*(n+1)/2)) { // We didn't see a span variable for every chart cell. return null; } return chart; }
java
private static boolean[][] getChart(int n, VarConfig vc) { boolean[][] chart = new boolean[n][n+1]; int count = 0; for (Var v : vc.getVars()) { SpanVar span = (SpanVar) v; chart[span.getStart()][span.getEnd()] = (vc.getState(span) == SpanVar.TRUE); count++; } if (count != (n*(n+1)/2)) { // We didn't see a span variable for every chart cell. return null; } return chart; }
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Creates a boolean chart representing the set of spans which are "on", or null if the number of span variables in the assignment is invalid.
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786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/gm/model/globalfac/ConstituencyTreeFactor.java#L367-L380
12,222
mgormley/pacaya
src/main/java/edu/jhu/pacaya/gm/model/globalfac/ConstituencyTreeFactor.java
ConstituencyTreeFactor.isTree
private static boolean isTree(int n, boolean[][] chart) { if (!chart[0][n]) { // Root must be a span. return false; } for (int width = 1; width <= n; width++) { for (int start = 0; start <= n - width; start++) { int end = start + width; if (width == 1) { if (!chart[start][end]) { // All width 1 spans must be set. return false; } } else { if (chart[start][end]) { // Count the number of pairs of child spans which could have been combined to form this span. int childPairCount = 0; for (int mid = start + 1; mid <= end - 1; mid++) { if (chart[start][mid] && chart[mid][end]) { childPairCount++; } } if (childPairCount != 1) { // This span should have been built from exactly one pair of child spans. return false; } } } } } return true; }
java
private static boolean isTree(int n, boolean[][] chart) { if (!chart[0][n]) { // Root must be a span. return false; } for (int width = 1; width <= n; width++) { for (int start = 0; start <= n - width; start++) { int end = start + width; if (width == 1) { if (!chart[start][end]) { // All width 1 spans must be set. return false; } } else { if (chart[start][end]) { // Count the number of pairs of child spans which could have been combined to form this span. int childPairCount = 0; for (int mid = start + 1; mid <= end - 1; mid++) { if (chart[start][mid] && chart[mid][end]) { childPairCount++; } } if (childPairCount != 1) { // This span should have been built from exactly one pair of child spans. return false; } } } } } return true; }
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Returns true if the boolean chart represents a set of spans that form a valid constituency tree, false otherwise.
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786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/gm/model/globalfac/ConstituencyTreeFactor.java#L386-L417
12,223
mgormley/pacaya
src/main/java/edu/jhu/pacaya/gm/model/IndexForVc.java
IndexForVc.getConfigIter
public static IndexForVc getConfigIter(VarSet indexVars, VarConfig config) { int fixedConfigContrib = getConfigIndex(indexVars, config); VarSet forVars = new VarSet(indexVars); forVars.removeAll(config.getVars()); return new IndexForVc(indexVars, forVars, fixedConfigContrib); }
java
public static IndexForVc getConfigIter(VarSet indexVars, VarConfig config) { int fixedConfigContrib = getConfigIndex(indexVars, config); VarSet forVars = new VarSet(indexVars); forVars.removeAll(config.getVars()); return new IndexForVc(indexVars, forVars, fixedConfigContrib); }
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Iterates over all the configurations of indexVars where the subset of variables in config have been clamped to their given values. The iterator returns the configuration index of variables in indexVars. @param indexVars Variable set over which to iterate. @param config Clamped assignment. @return Iterator.
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786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/gm/model/IndexForVc.java#L46-L51
12,224
mgormley/pacaya
src/main/java/edu/jhu/pacaya/gm/model/IndexForVc.java
IndexForVc.getConfigArr
public static int[] getConfigArr(VarSet vars, VarConfig config) { IntArrayList a = new IntArrayList(config.getVars().calcNumConfigs()); IntIter iter = getConfigIter(vars, config); while (iter.hasNext()) { a.add(iter.next()); } return a.toNativeArray(); }
java
public static int[] getConfigArr(VarSet vars, VarConfig config) { IntArrayList a = new IntArrayList(config.getVars().calcNumConfigs()); IntIter iter = getConfigIter(vars, config); while (iter.hasNext()) { a.add(iter.next()); } return a.toNativeArray(); }
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Gets an array version of the configuration iterator. @see edu.jhu.pacaya.gm.model.IndexForVc#getConfigIter
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786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/gm/model/IndexForVc.java#L57-L64
12,225
mgormley/pacaya
src/main/java/edu/jhu/pacaya/gm/model/IndexForVc.java
IndexForVc.getConfigIndex
public static int getConfigIndex(VarSet vars, VarConfig config) { int configIndex = 0; int numStatesProd = 1; for (int v=vars.size()-1; v >= 0; v--) { Var var = vars.get(v); int state = config.getState(var, 0); configIndex += state * numStatesProd; numStatesProd *= var.getNumStates(); } return configIndex; }
java
public static int getConfigIndex(VarSet vars, VarConfig config) { int configIndex = 0; int numStatesProd = 1; for (int v=vars.size()-1; v >= 0; v--) { Var var = vars.get(v); int state = config.getState(var, 0); configIndex += state * numStatesProd; numStatesProd *= var.getNumStates(); } return configIndex; }
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Gets the index of the configuration of the variables where all those in config have the specified value, and all other variables in vars have the zero state. @param vars The variable set over which to iterate. @param config An assignment to a subset of vars. @return The configuration index.
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786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/gm/model/IndexForVc.java#L74-L84
12,226
mgormley/pacaya
src/main/java/edu/jhu/pacaya/gm/data/LibDaiFgIo.java
LibDaiFgIo.configIdToLibDaiIx
public static int configIdToLibDaiIx(int configId, VarSet vs) { int[] indices = vs.getVarConfigAsArray(configId); int[] dims = vs.getDims(); return Tensor.ravelIndexMatlab(indices, dims); }
java
public static int configIdToLibDaiIx(int configId, VarSet vs) { int[] indices = vs.getVarConfigAsArray(configId); int[] dims = vs.getDims(); return Tensor.ravelIndexMatlab(indices, dims); }
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converts the internal pacaya index of a config on the varset into the libdai index corresponding to the same configuration
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786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/gm/data/LibDaiFgIo.java#L158-L162
12,227
mcaserta/spring-crypto-utils
src/main/java/com/springcryptoutils/core/key/PrivateKeyRegistryByAliasImpl.java
PrivateKeyRegistryByAliasImpl.get
public PrivateKey get(KeyStoreChooser keyStoreChooser, PrivateKeyChooserByAlias privateKeyChooserByAlias) { CacheKey cacheKey = new CacheKey(keyStoreChooser.getKeyStoreName(), privateKeyChooserByAlias.getAlias()); PrivateKey retrievedPrivateKey = cache.get(cacheKey); if (retrievedPrivateKey != null) { return retrievedPrivateKey; } KeyStore keyStore = keyStoreRegistry.get(keyStoreChooser); if (keyStore != null) { PrivateKeyFactoryBean factory = new PrivateKeyFactoryBean(); factory.setKeystore(keyStore); factory.setAlias(privateKeyChooserByAlias.getAlias()); factory.setPassword(privateKeyChooserByAlias.getPassword()); try { factory.afterPropertiesSet(); PrivateKey privateKey = (PrivateKey) factory.getObject(); if (privateKey != null) { cache.put(cacheKey, privateKey); } return privateKey; } catch (Exception e) { throw new PrivateKeyException("error initializing private key factory bean", e); } } return null; }
java
public PrivateKey get(KeyStoreChooser keyStoreChooser, PrivateKeyChooserByAlias privateKeyChooserByAlias) { CacheKey cacheKey = new CacheKey(keyStoreChooser.getKeyStoreName(), privateKeyChooserByAlias.getAlias()); PrivateKey retrievedPrivateKey = cache.get(cacheKey); if (retrievedPrivateKey != null) { return retrievedPrivateKey; } KeyStore keyStore = keyStoreRegistry.get(keyStoreChooser); if (keyStore != null) { PrivateKeyFactoryBean factory = new PrivateKeyFactoryBean(); factory.setKeystore(keyStore); factory.setAlias(privateKeyChooserByAlias.getAlias()); factory.setPassword(privateKeyChooserByAlias.getPassword()); try { factory.afterPropertiesSet(); PrivateKey privateKey = (PrivateKey) factory.getObject(); if (privateKey != null) { cache.put(cacheKey, privateKey); } return privateKey; } catch (Exception e) { throw new PrivateKeyException("error initializing private key factory bean", e); } } return null; }
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Returns the selected private key or null if not found. @param keyStoreChooser the keystore chooser @param privateKeyChooserByAlias the private key chooser by alias @return the selected private key or null if not found
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1dbf6211542fb1e3f9297941d691e7e89cc72c46
https://github.com/mcaserta/spring-crypto-utils/blob/1dbf6211542fb1e3f9297941d691e7e89cc72c46/src/main/java/com/springcryptoutils/core/key/PrivateKeyRegistryByAliasImpl.java#L53-L82
12,228
mgormley/pacaya
src/main/java/edu/jhu/pacaya/autodiff/Tensor.java
Tensor.unravelIndex
public static int[] unravelIndex(int configIx, int... dims) { int numConfigs = IntArrays.prod(dims); assert configIx < numConfigs; int[] strides = getStrides(dims); return unravelIndexFromStrides(configIx, strides); }
java
public static int[] unravelIndex(int configIx, int... dims) { int numConfigs = IntArrays.prod(dims); assert configIx < numConfigs; int[] strides = getStrides(dims); return unravelIndexFromStrides(configIx, strides); }
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Returns an integer array of the same length as dims that matches the configIx'th configuration if enumerated configurations in order such that the leftmost dimension changes slowest
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786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/autodiff/Tensor.java#L54-L59
12,229
mgormley/pacaya
src/main/java/edu/jhu/pacaya/autodiff/Tensor.java
Tensor.unravelIndexMatlab
public static int[] unravelIndexMatlab(int configIx, int... dims) { dims = dims.clone(); ArrayUtils.reverse(dims); int[] config = unravelIndex(configIx, dims); ArrayUtils.reverse(config); return config; }
java
public static int[] unravelIndexMatlab(int configIx, int... dims) { dims = dims.clone(); ArrayUtils.reverse(dims); int[] config = unravelIndex(configIx, dims); ArrayUtils.reverse(config); return config; }
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Returns an integer array of the same length as dims that matches the configIx'th configuration if enumerated configurations in order such that the rightmost dimension is fastest
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786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/autodiff/Tensor.java#L65-L71
12,230
mgormley/pacaya
src/main/java/edu/jhu/pacaya/autodiff/Tensor.java
Tensor.unravelIndexFromStrides
public static int[] unravelIndexFromStrides(int configIx, int... strides) { int offset = 0; int[] config = new int[strides.length]; // fill things out from slowest to fastest for (int i = 0; i < strides.length; i++) { // how many strides are we passed the offset int ix = (configIx - offset) / strides[i]; config[i] = ix; // move the offset offset += ix * strides[i]; } return config; }
java
public static int[] unravelIndexFromStrides(int configIx, int... strides) { int offset = 0; int[] config = new int[strides.length]; // fill things out from slowest to fastest for (int i = 0; i < strides.length; i++) { // how many strides are we passed the offset int ix = (configIx - offset) / strides[i]; config[i] = ix; // move the offset offset += ix * strides[i]; } return config; }
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strides are given in order from left to right, slowest to fastest
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786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/autodiff/Tensor.java#L76-L88
12,231
mgormley/pacaya
src/main/java/edu/jhu/pacaya/autodiff/Tensor.java
Tensor.setValue
public double setValue(int idx, double val) { double prev = values[idx]; values[idx] = val; return prev; }
java
public double setValue(int idx, double val) { double prev = values[idx]; values[idx] = val; return prev; }
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Sets the value of the idx'th entry.
[ "Sets", "the", "value", "of", "the", "idx", "th", "entry", "." ]
786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/autodiff/Tensor.java#L231-L235
12,232
mgormley/pacaya
src/main/java/edu/jhu/pacaya/autodiff/Tensor.java
Tensor.add
public void add(double addend) { for (int c = 0; c < this.values.length; c++) { addValue(c, addend); } }
java
public void add(double addend) { for (int c = 0; c < this.values.length; c++) { addValue(c, addend); } }
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Add the addend to each value.
[ "Add", "the", "addend", "to", "each", "value", "." ]
786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/autodiff/Tensor.java#L268-L272
12,233
mgormley/pacaya
src/main/java/edu/jhu/pacaya/autodiff/Tensor.java
Tensor.multiply
public void multiply(double val) { for (int c = 0; c < this.values.length; c++) { multiplyValue(c, val); } }
java
public void multiply(double val) { for (int c = 0; c < this.values.length; c++) { multiplyValue(c, val); } }
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Scale each value by lambda.
[ "Scale", "each", "value", "by", "lambda", "." ]
786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/autodiff/Tensor.java#L281-L285
12,234
mgormley/pacaya
src/main/java/edu/jhu/pacaya/autodiff/Tensor.java
Tensor.divide
public void divide(double val) { for (int c = 0; c < this.values.length; c++) { divideValue(c, val); } }
java
public void divide(double val) { for (int c = 0; c < this.values.length; c++) { divideValue(c, val); } }
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Divide each value by lambda.
[ "Divide", "each", "value", "by", "lambda", "." ]
786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/autodiff/Tensor.java#L288-L292
12,235
mgormley/pacaya
src/main/java/edu/jhu/pacaya/autodiff/Tensor.java
Tensor.select
public Tensor select(int dim, int idx) { int[] yDims = IntArrays.removeEntry(this.getDims(), dim); Tensor y = new Tensor(s, yDims); DimIter yIter = new DimIter(y.getDims()); while (yIter.hasNext()) { int[] yIdx = yIter.next(); int[] xIdx = IntArrays.insertEntry(yIdx, dim, idx); y.set(yIdx, this.get(xIdx)); } return y; }
java
public Tensor select(int dim, int idx) { int[] yDims = IntArrays.removeEntry(this.getDims(), dim); Tensor y = new Tensor(s, yDims); DimIter yIter = new DimIter(y.getDims()); while (yIter.hasNext()) { int[] yIdx = yIter.next(); int[] xIdx = IntArrays.insertEntry(yIdx, dim, idx); y.set(yIdx, this.get(xIdx)); } return y; }
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Selects a sub-tensor from this one. This can be though of as fixing a particular dimension to a given index. @param dim The dimension to treat as fixed. @param idx The index of that dimension to fix. @return The sub-tensor selected.
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786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/autodiff/Tensor.java#L516-L526
12,236
mgormley/pacaya
src/main/java/edu/jhu/pacaya/autodiff/Tensor.java
Tensor.addTensor
public void addTensor(Tensor addend, int dim, int idx) { checkSameAlgebra(this, addend); DimIter yIter = new DimIter(addend.getDims()); while (yIter.hasNext()) { int[] yIdx = yIter.next(); int[] xIdx = IntArrays.insertEntry(yIdx, dim, idx); this.add(xIdx, addend.get(yIdx)); } }
java
public void addTensor(Tensor addend, int dim, int idx) { checkSameAlgebra(this, addend); DimIter yIter = new DimIter(addend.getDims()); while (yIter.hasNext()) { int[] yIdx = yIter.next(); int[] xIdx = IntArrays.insertEntry(yIdx, dim, idx); this.add(xIdx, addend.get(yIdx)); } }
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Adds a smaller tensor to this one, inserting it at a specified dimension and index. This can be thought of as selecting the sub-tensor of this tensor adding the smaller tensor to it. This is the larger tensor (i.e. the augend). @param addend The smaller tensor (i.e. the addend) @param dim The dimension which will be treated as fixed on the larger tensor. @param idx The index at which that dimension will be fixed.
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786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/autodiff/Tensor.java#L539-L547
12,237
mgormley/pacaya
src/main/java/edu/jhu/pacaya/gm/model/VarSet.java
VarSet.getVarConfig
public VarConfig getVarConfig(int configIndex) { // Configuration as an array of ints, one for each variable. int i; int[] states = getVarConfigAsArray(configIndex); VarConfig config = new VarConfig(); i=0; for (Var var : this) { config.put(var, states[i++]); } return config; }
java
public VarConfig getVarConfig(int configIndex) { // Configuration as an array of ints, one for each variable. int i; int[] states = getVarConfigAsArray(configIndex); VarConfig config = new VarConfig(); i=0; for (Var var : this) { config.put(var, states[i++]); } return config; }
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Gets the variable configuration corresponding to the given configuration index. @param configIndex The config index. @return The variable configuration.
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786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/gm/model/VarSet.java#L108-L119
12,238
mgormley/pacaya
src/main/java/edu/jhu/pacaya/gm/model/VarSet.java
VarSet.getVarConfigAsArray
public void getVarConfigAsArray(int configIndex, int[] putInto) { if(putInto.length != this.size()) throw new IllegalArgumentException(); int i = putInto.length - 1; for (int v=this.size()-1; v >= 0; v--) { Var var = this.get(v); putInto[i--] = configIndex % var.getNumStates(); configIndex /= var.getNumStates(); } }
java
public void getVarConfigAsArray(int configIndex, int[] putInto) { if(putInto.length != this.size()) throw new IllegalArgumentException(); int i = putInto.length - 1; for (int v=this.size()-1; v >= 0; v--) { Var var = this.get(v); putInto[i--] = configIndex % var.getNumStates(); configIndex /= var.getNumStates(); } }
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this is the "no-allocation" version of the non-void method of the same name.
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786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/gm/model/VarSet.java#L140-L149
12,239
mgormley/pacaya
src/main/java/edu/jhu/pacaya/gm/model/VarSet.java
VarSet.getDims
public int[] getDims() { int[] dims = new int[size()]; for (int i = 0; i < size(); i++) { dims[i] = get(i).getNumStates(); } return dims; }
java
public int[] getDims() { int[] dims = new int[size()]; for (int i = 0; i < size(); i++) { dims[i] = get(i).getNumStates(); } return dims; }
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Returns an array holding the number of values the corresponding variables can take on
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786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/gm/model/VarSet.java#L154-L160
12,240
mgormley/pacaya
src/main/java/edu/jhu/pacaya/util/sys/System.java
System.runCommand
public static void runCommand(String[] cmdArray, File logFile, File dir) { Process proc = System.runProcess(cmdArray, logFile, dir); if (proc.exitValue() != 0) { throw new RuntimeException("Command failed with exit code " + proc.exitValue() + ": " + System.cmdToString(cmdArray) + "\n" + QFiles.tail(logFile)); } }
java
public static void runCommand(String[] cmdArray, File logFile, File dir) { Process proc = System.runProcess(cmdArray, logFile, dir); if (proc.exitValue() != 0) { throw new RuntimeException("Command failed with exit code " + proc.exitValue() + ": " + System.cmdToString(cmdArray) + "\n" + QFiles.tail(logFile)); } }
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Checks the exit code and throws an Exception if the process failed.
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786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/util/sys/System.java#L20-L26
12,241
mgormley/pacaya
src/main/java/edu/jhu/pacaya/util/sys/System.java
System.runProcess
public static Process runProcess(String[] cmdArray, File logFile, File dir) { try { ProcessBuilder pb = new ProcessBuilder(cmdArray); pb.redirectErrorStream(true); pb.directory(dir); Process proc = pb.start(); if (logFile != null) { // Redirect stderr and stdout to logFile // TODO: in Java 7, use redirectOutput(Redirect.to(logFile)) InputStream inputStream = new BufferedInputStream(proc.getInputStream()); BufferedOutputStream out = new BufferedOutputStream(new FileOutputStream(logFile)); int read = 0; byte[] bytes = new byte[1024]; while ((read = inputStream.read(bytes)) != -1) { out.write(bytes, 0, read); } inputStream.close(); out.flush(); out.close(); } proc.waitFor(); return proc; } catch (Exception e) { String tail = ""; try { tail = QFiles.tail(logFile); } catch (Throwable t) { // Ignore new exceptions } throw new RuntimeException("Exception thrown while trying to exec command " + System.cmdToString(cmdArray) + "\n" + tail, e); } }
java
public static Process runProcess(String[] cmdArray, File logFile, File dir) { try { ProcessBuilder pb = new ProcessBuilder(cmdArray); pb.redirectErrorStream(true); pb.directory(dir); Process proc = pb.start(); if (logFile != null) { // Redirect stderr and stdout to logFile // TODO: in Java 7, use redirectOutput(Redirect.to(logFile)) InputStream inputStream = new BufferedInputStream(proc.getInputStream()); BufferedOutputStream out = new BufferedOutputStream(new FileOutputStream(logFile)); int read = 0; byte[] bytes = new byte[1024]; while ((read = inputStream.read(bytes)) != -1) { out.write(bytes, 0, read); } inputStream.close(); out.flush(); out.close(); } proc.waitFor(); return proc; } catch (Exception e) { String tail = ""; try { tail = QFiles.tail(logFile); } catch (Throwable t) { // Ignore new exceptions } throw new RuntimeException("Exception thrown while trying to exec command " + System.cmdToString(cmdArray) + "\n" + tail, e); } }
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Returns the Process which contains the exit code.
[ "Returns", "the", "Process", "which", "contains", "the", "exit", "code", "." ]
786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/util/sys/System.java#L31-L69
12,242
mgormley/pacaya
src/main/java/edu/jhu/pacaya/gm/inf/BeliefPropagation.java
BeliefPropagation.forwardSendMessage
private void forwardSendMessage(int edge, int iter) { // Update the residual double oldResidual = residuals[edge]; residuals[edge] = smartResidual(msgs[edge], newMsgs[edge], edge); if (oldResidual > prm.convergenceThreshold && residuals[edge] <= prm.convergenceThreshold) { // This message has (newly) converged. numConverged ++; } if (oldResidual <= prm.convergenceThreshold && residuals[edge] > prm.convergenceThreshold) { // This message was marked as converged, but is no longer converged. numConverged--; } // Check for oscillation. Did the argmax change? if (log.isTraceEnabled() && iter > 0) { if (msgs[edge].getArgmaxConfigId() != newMsgs[edge].getArgmaxConfigId()) { oscillationCount.incrementAndGet(); } sendCount.incrementAndGet(); log.trace("Residual: {} {}", fg.edgeToString(edge), residuals[edge]); } // Update the cached belief. int child = bg.childE(edge); if (!bg.isT1T2(edge) && bg.numNbsT1(child) >= prm.minVarNbsForCache) { varBeliefs[child].elemDivBP(msgs[edge]); varBeliefs[child].elemMultiply(newMsgs[edge]); assert !varBeliefs[child].containsBadValues() : "varBeliefs[child] = " + varBeliefs[child]; } else if (bg.isT1T2(edge) && bg.numNbsT2(child) >= prm.minFacNbsForCache){ Factor f = bg.t2E(edge); if (! (f instanceof GlobalFactor)) { facBeliefs[child].divBP(msgs[edge]); facBeliefs[child].prod(newMsgs[edge]); assert !facBeliefs[child].containsBadValues() : "facBeliefs[child] = " + facBeliefs[child]; } } // Send message: Just swap the pointers to the current message and the new message, so // that we don't have to create a new factor object. VarTensor oldMessage = msgs[edge]; msgs[edge] = newMsgs[edge]; newMsgs[edge] = oldMessage; assert !msgs[edge].containsBadValues() : "msgs[edge] = " + msgs[edge]; if (log.isTraceEnabled()) { log.trace("Message sent: {} {}", fg.edgeToString(edge), msgs[edge]); } }
java
private void forwardSendMessage(int edge, int iter) { // Update the residual double oldResidual = residuals[edge]; residuals[edge] = smartResidual(msgs[edge], newMsgs[edge], edge); if (oldResidual > prm.convergenceThreshold && residuals[edge] <= prm.convergenceThreshold) { // This message has (newly) converged. numConverged ++; } if (oldResidual <= prm.convergenceThreshold && residuals[edge] > prm.convergenceThreshold) { // This message was marked as converged, but is no longer converged. numConverged--; } // Check for oscillation. Did the argmax change? if (log.isTraceEnabled() && iter > 0) { if (msgs[edge].getArgmaxConfigId() != newMsgs[edge].getArgmaxConfigId()) { oscillationCount.incrementAndGet(); } sendCount.incrementAndGet(); log.trace("Residual: {} {}", fg.edgeToString(edge), residuals[edge]); } // Update the cached belief. int child = bg.childE(edge); if (!bg.isT1T2(edge) && bg.numNbsT1(child) >= prm.minVarNbsForCache) { varBeliefs[child].elemDivBP(msgs[edge]); varBeliefs[child].elemMultiply(newMsgs[edge]); assert !varBeliefs[child].containsBadValues() : "varBeliefs[child] = " + varBeliefs[child]; } else if (bg.isT1T2(edge) && bg.numNbsT2(child) >= prm.minFacNbsForCache){ Factor f = bg.t2E(edge); if (! (f instanceof GlobalFactor)) { facBeliefs[child].divBP(msgs[edge]); facBeliefs[child].prod(newMsgs[edge]); assert !facBeliefs[child].containsBadValues() : "facBeliefs[child] = " + facBeliefs[child]; } } // Send message: Just swap the pointers to the current message and the new message, so // that we don't have to create a new factor object. VarTensor oldMessage = msgs[edge]; msgs[edge] = newMsgs[edge]; newMsgs[edge] = oldMessage; assert !msgs[edge].containsBadValues() : "msgs[edge] = " + msgs[edge]; if (log.isTraceEnabled()) { log.trace("Message sent: {} {}", fg.edgeToString(edge), msgs[edge]); } }
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Sends the message that is currently "pending" for this edge. This just copies the message in the "pending slot" to the "message slot" for this edge. @param edge The edge over which the message should be sent. @param iter The current iteration.
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786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/gm/inf/BeliefPropagation.java#L421-L468
12,243
mgormley/pacaya
src/main/java/edu/jhu/pacaya/gm/inf/BeliefPropagation.java
BeliefPropagation.smartResidual
private double smartResidual(VarTensor message, VarTensor newMessage, int edge) { // This is intentionally NOT the semiring zero. return CachingBpSchedule.isConstantMsg(edge, fg) ? 0.0 : getResidual(message, newMessage); }
java
private double smartResidual(VarTensor message, VarTensor newMessage, int edge) { // This is intentionally NOT the semiring zero. return CachingBpSchedule.isConstantMsg(edge, fg) ? 0.0 : getResidual(message, newMessage); }
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Returns the "converged" residual for constant messages, and the actual residual otherwise.
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786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/gm/inf/BeliefPropagation.java#L471-L474
12,244
mgormley/pacaya
src/main/java/edu/jhu/pacaya/gm/inf/BeliefPropagation.java
BeliefPropagation.getResidual
private double getResidual(VarTensor t1, VarTensor t2) { assert s == t1.getAlgebra() && s == t2.getAlgebra(); Tensor.checkEqualSize(t1, t2); Tensor.checkSameAlgebra(t1, t2); double residual = Double.NEGATIVE_INFINITY; for (int c=0; c<t1.size(); c++) { double abs = Math.abs(s.toLogProb(t1.get(c)) - s.toLogProb(t2.get(c))); if (abs > residual) { residual = abs; } } return residual; }
java
private double getResidual(VarTensor t1, VarTensor t2) { assert s == t1.getAlgebra() && s == t2.getAlgebra(); Tensor.checkEqualSize(t1, t2); Tensor.checkSameAlgebra(t1, t2); double residual = Double.NEGATIVE_INFINITY; for (int c=0; c<t1.size(); c++) { double abs = Math.abs(s.toLogProb(t1.get(c)) - s.toLogProb(t2.get(c))); if (abs > residual) { residual = abs; } } return residual; }
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Gets the residual for a new message, as the maximum error over all assignments. Following the definition of Sutton & McCallum (2007), we compute the residual as the infinity norm of the difference of the log of the message vectors. Note: the returned value is NOT in the semiring / abstract algebra. It is the actual value described above.
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786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/gm/inf/BeliefPropagation.java#L485-L497
12,245
mgormley/pacaya
src/main/java/edu/jhu/pacaya/gm/inf/BeliefPropagation.java
BeliefPropagation.calcProductAtVar
private void calcProductAtVar(int v, VarTensor prod, int excl1, int excl2) { for (int nb=0; nb<bg.numNbsT1(v); nb++) { if (nb == excl1 || nb == excl2) { // Don't include messages to these neighbors. continue; } // Get message from neighbor to this node. VarTensor nbMsg = msgs[bg.opposingT1(v, nb)]; // Since the node is a variable, this is an element-wise product. prod.elemMultiply(nbMsg); } }
java
private void calcProductAtVar(int v, VarTensor prod, int excl1, int excl2) { for (int nb=0; nb<bg.numNbsT1(v); nb++) { if (nb == excl1 || nb == excl2) { // Don't include messages to these neighbors. continue; } // Get message from neighbor to this node. VarTensor nbMsg = msgs[bg.opposingT1(v, nb)]; // Since the node is a variable, this is an element-wise product. prod.elemMultiply(nbMsg); } }
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Computes the product of all messages being sent to a node, optionally excluding messages sent from another node or two. Upon completion, prod will be multiplied by the product of all incoming messages to node, except for the message from exclNode1 / exclNode2 if specified. @param node The node to which all the messages are being sent. @param prod An input / output tensor with which the product will (destructively) be taken. @param exclNode1 If non-null, any message sent from exclNode1 to node will be excluded from the product. @param exclNode2 If non-null, any message sent from exclNode2 to node will be excluded from the product.
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786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/gm/inf/BeliefPropagation.java#L886-L897
12,246
mgormley/pacaya
src/main/java/edu/jhu/pacaya/gm/inf/BeliefPropagation.java
BeliefPropagation.calcVarBeliefs
private VarTensor calcVarBeliefs(Var var) { // Compute the product of all messages sent to this variable. VarTensor prod = new VarTensor(s, new VarSet(var), s.one()); calcProductAtVar(var.getId(), prod, -1, -1); return prod; }
java
private VarTensor calcVarBeliefs(Var var) { // Compute the product of all messages sent to this variable. VarTensor prod = new VarTensor(s, new VarSet(var), s.one()); calcProductAtVar(var.getId(), prod, -1, -1); return prod; }
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Gets the unnormalized variable beleifs.
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786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/gm/inf/BeliefPropagation.java#L924-L929
12,247
mgormley/pacaya
src/main/java/edu/jhu/pacaya/gm/inf/BeliefPropagation.java
BeliefPropagation.calcFactorBeliefs
private VarTensor calcFactorBeliefs(Factor factor) { if (factor instanceof GlobalFactor) { log.warn("Getting marginals of a global factor is not supported." + " This will require exponential space to store the resulting factor." + " This should only be used for testing."); } // Compute the product of all messages sent to this factor. VarTensor prod = safeNewVarTensor(factor); calcProductAtFactor(factor.getId(), prod, -1, -1); return prod; }
java
private VarTensor calcFactorBeliefs(Factor factor) { if (factor instanceof GlobalFactor) { log.warn("Getting marginals of a global factor is not supported." + " This will require exponential space to store the resulting factor." + " This should only be used for testing."); } // Compute the product of all messages sent to this factor. VarTensor prod = safeNewVarTensor(factor); calcProductAtFactor(factor.getId(), prod, -1, -1); return prod; }
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Gets the unnormalized factor beleifs.
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786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/gm/inf/BeliefPropagation.java#L932-L942
12,248
mgormley/pacaya
src/main/java/edu/jhu/pacaya/util/files/QFiles.java
QFiles.getTempPath
private static File getTempPath(String prefix, File parentDir) throws IOException { final int maxI = (int)Math.pow(10, NUM_DIGITS); String formatStr = "%s_%0"+NUM_DIGITS+"d"; File path; int i; for (i=0; i<maxI; i++) { path = new File(parentDir, String.format(formatStr, prefix, i)); if (!path.exists()) { return path; } } // If we ran out of short file names, just create a long one path = File.createTempFile(prefix, "", parentDir); if (!path.delete()) { throw new RuntimeException("Could not delete temp file as expected: " + path); } return path; }
java
private static File getTempPath(String prefix, File parentDir) throws IOException { final int maxI = (int)Math.pow(10, NUM_DIGITS); String formatStr = "%s_%0"+NUM_DIGITS+"d"; File path; int i; for (i=0; i<maxI; i++) { path = new File(parentDir, String.format(formatStr, prefix, i)); if (!path.exists()) { return path; } } // If we ran out of short file names, just create a long one path = File.createTempFile(prefix, "", parentDir); if (!path.delete()) { throw new RuntimeException("Could not delete temp file as expected: " + path); } return path; }
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Creates a file object of a currently available path, but does not create the file. This method is not thread safe.
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786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/util/files/QFiles.java#L98-L115
12,249
mgormley/pacaya
src/main/java/edu/jhu/pacaya/util/files/QFiles.java
QFiles.readUntil
public static void readUntil(BufferedReader reader, String breakpoint) throws IOException { String line; while ((line = reader.readLine()) != null) { if (line.equals(breakpoint)) { return; } } }
java
public static void readUntil(BufferedReader reader, String breakpoint) throws IOException { String line; while ((line = reader.readLine()) != null) { if (line.equals(breakpoint)) { return; } } }
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Read until the current line equals the breakpoint string.
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786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/util/files/QFiles.java#L147-L154
12,250
mgormley/pacaya
src/main/java/edu/jhu/pacaya/parse/cky/PcfgInsideOutside.java
PcfgInsideOutside.runOutsideAlgorithm
public static void runOutsideAlgorithm(final int[] sent, final CnfGrammar grammar, final LoopOrder loopOrder, final Chart inChart, final Chart outChart, final Scorer scorer) { // Base case. // -- part I: outsideScore(S, 0, n) = 0 = log(1). ChartCell outRootCell = outChart.getCell(0, sent.length); outRootCell.updateCell(grammar.getRootSymbol(), 0, -1, null); // -- part II: outsideScore(A, 0, n) = -inf = log(0) for all A \neq S. // This second part of the base case is the default initialization for each cell. // We still start at width = n so that we can apply unary rules to our // base case root terminal S. // // For each cell in the chart. (width decreasing) for (int width = sent.length; width >= 1; width--) { for (int start = 0; start <= sent.length - width; start++) { int end = start + width; ChartCell outCell = outChart.getCell(start, end); // Apply unary rules. ScoresSnapshot scoresSnapshot = outCell.getScoresSnapshot(); int[] nts = outCell.getNts(); for(final int parentNt : nts) { for (final Rule r : grammar.getUnaryRulesWithParent(parentNt)) { // TODO: Check whether this outside rule even matters. // Arguably this would create an outside chart that is // incomplete. //ChartCell inCell = inChart.getCell(start, end); // TODO: move this out of the loop. //if (inCell.getScore(r.getLeftChild()) > Double.NEGATIVE_INFINITY) { double score = scorer.score(r, start, end, end) + scoresSnapshot.getScore(parentNt); outCell.updateCell(r.getLeftChild(), score, end, r); //} } } // Apply binary rules. if (loopOrder == LoopOrder.CARTESIAN_PRODUCT) { processCellCartesianProduct(grammar, inChart, outChart, start, end, outCell, scorer); } else if (loopOrder == LoopOrder.LEFT_CHILD) { processCellLeftChild(grammar, inChart, outChart, start, end, outCell, scorer); } else if (loopOrder == LoopOrder.RIGHT_CHILD) { processCellRightChild(grammar, inChart, outChart, start, end, outCell, scorer); } else { throw new RuntimeException("Not implemented: " + loopOrder); } } } // Apply lexical rules to each word. for (int i = 0; i <= sent.length - 1; i++) { ChartCell outCell = outChart.getCell(i, i+1); ScoresSnapshot scoresSnapshot = outCell.getScoresSnapshot(); for (final Rule r : grammar.getLexicalRulesWithChild(sent[i])) { double score = scorer.score(r, i, i+1, i+1) + scoresSnapshot.getScore(r.getParent()); outCell.updateCell(r.getLeftChild(), score, i+1, r); } } }
java
public static void runOutsideAlgorithm(final int[] sent, final CnfGrammar grammar, final LoopOrder loopOrder, final Chart inChart, final Chart outChart, final Scorer scorer) { // Base case. // -- part I: outsideScore(S, 0, n) = 0 = log(1). ChartCell outRootCell = outChart.getCell(0, sent.length); outRootCell.updateCell(grammar.getRootSymbol(), 0, -1, null); // -- part II: outsideScore(A, 0, n) = -inf = log(0) for all A \neq S. // This second part of the base case is the default initialization for each cell. // We still start at width = n so that we can apply unary rules to our // base case root terminal S. // // For each cell in the chart. (width decreasing) for (int width = sent.length; width >= 1; width--) { for (int start = 0; start <= sent.length - width; start++) { int end = start + width; ChartCell outCell = outChart.getCell(start, end); // Apply unary rules. ScoresSnapshot scoresSnapshot = outCell.getScoresSnapshot(); int[] nts = outCell.getNts(); for(final int parentNt : nts) { for (final Rule r : grammar.getUnaryRulesWithParent(parentNt)) { // TODO: Check whether this outside rule even matters. // Arguably this would create an outside chart that is // incomplete. //ChartCell inCell = inChart.getCell(start, end); // TODO: move this out of the loop. //if (inCell.getScore(r.getLeftChild()) > Double.NEGATIVE_INFINITY) { double score = scorer.score(r, start, end, end) + scoresSnapshot.getScore(parentNt); outCell.updateCell(r.getLeftChild(), score, end, r); //} } } // Apply binary rules. if (loopOrder == LoopOrder.CARTESIAN_PRODUCT) { processCellCartesianProduct(grammar, inChart, outChart, start, end, outCell, scorer); } else if (loopOrder == LoopOrder.LEFT_CHILD) { processCellLeftChild(grammar, inChart, outChart, start, end, outCell, scorer); } else if (loopOrder == LoopOrder.RIGHT_CHILD) { processCellRightChild(grammar, inChart, outChart, start, end, outCell, scorer); } else { throw new RuntimeException("Not implemented: " + loopOrder); } } } // Apply lexical rules to each word. for (int i = 0; i <= sent.length - 1; i++) { ChartCell outCell = outChart.getCell(i, i+1); ScoresSnapshot scoresSnapshot = outCell.getScoresSnapshot(); for (final Rule r : grammar.getLexicalRulesWithChild(sent[i])) { double score = scorer.score(r, i, i+1, i+1) + scoresSnapshot.getScore(r.getParent()); outCell.updateCell(r.getLeftChild(), score, i+1, r); } } }
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Runs the outside algorithm, given an inside chart. @param sent The input sentence. @param grammar The input grammar. @param loopOrder The loop order to use when parsing. @param inChart The inside chart, already populated. @param outChart The outside chart (the output of this function).
[ "Runs", "the", "outside", "algorithm", "given", "an", "inside", "chart", "." ]
786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/parse/cky/PcfgInsideOutside.java#L127-L184
12,251
mgormley/pacaya
src/main/java/edu/jhu/pacaya/autodiff/StochasticGradientApproximation.java
StochasticGradientApproximation.estimateGradientFd
public static IntDoubleVector estimateGradientFd(Function fn, IntDoubleVector x, double epsilon) { int numParams = fn.getNumDimensions(); IntDoubleVector gradFd = new IntDoubleDenseVector(numParams); for (int j=0; j<numParams; j++) { // Test the deriviative d/dx_j(f_i(\vec{x})) IntDoubleVector d = new IntDoubleDenseVector(numParams); d.set(j, 1); double dotFd = getGradDotDirApprox(fn, x, d, epsilon); if (Double.isNaN(dotFd)) { log.warn("Hit NaN"); } gradFd.set(j, dotFd); } return gradFd; }
java
public static IntDoubleVector estimateGradientFd(Function fn, IntDoubleVector x, double epsilon) { int numParams = fn.getNumDimensions(); IntDoubleVector gradFd = new IntDoubleDenseVector(numParams); for (int j=0; j<numParams; j++) { // Test the deriviative d/dx_j(f_i(\vec{x})) IntDoubleVector d = new IntDoubleDenseVector(numParams); d.set(j, 1); double dotFd = getGradDotDirApprox(fn, x, d, epsilon); if (Double.isNaN(dotFd)) { log.warn("Hit NaN"); } gradFd.set(j, dotFd); } return gradFd; }
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Estimates a gradient of a function by an independent finite-difference computation along each dimension of the domain of the function. @param fn Function on which to approximate the gradient. @param x Point at which to approximate the gradient. @param epsilon The size of the finite difference step. @return The approximate gradient.
[ "Estimates", "a", "gradient", "of", "a", "function", "by", "an", "independent", "finite", "-", "difference", "computation", "along", "each", "dimension", "of", "the", "domain", "of", "the", "function", "." ]
786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/autodiff/StochasticGradientApproximation.java#L35-L49
12,252
mgormley/pacaya
src/main/java/edu/jhu/pacaya/parse/cky/chart/Chart.java
Chart.reset
public void reset(Sentence sentence) { this.sentence = sentence; // Ensure that the chart is large enough. if (sentence.size() > chart.length){ chart = getNewChart(sentence, grammar, cellType, parseType, constraint); } else { // Clear the chart. // // Note that we only need to clear the portion that will be used while parsing this sentence. for (int i = 0; i < sentence.size(); i++) { for (int j = i+1; j < sentence.size() + 1; j++) { chart[i][j].reset(sentence); } } } }
java
public void reset(Sentence sentence) { this.sentence = sentence; // Ensure that the chart is large enough. if (sentence.size() > chart.length){ chart = getNewChart(sentence, grammar, cellType, parseType, constraint); } else { // Clear the chart. // // Note that we only need to clear the portion that will be used while parsing this sentence. for (int i = 0; i < sentence.size(); i++) { for (int j = i+1; j < sentence.size() + 1; j++) { chart[i][j].reset(sentence); } } } }
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Resets the chart for the input sentence.
[ "Resets", "the", "chart", "for", "the", "input", "sentence", "." ]
786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/parse/cky/chart/Chart.java#L72-L87
12,253
mgormley/pacaya
src/main/java/edu/jhu/pacaya/parse/cky/chart/Chart.java
Chart.getNewChart
private static ChartCell[][] getNewChart(Sentence sentence, CnfGrammar grammar, ChartCellType cellType, ParseType parseType, ChartCellConstraint constraint) { ChartCell[][] chart = new ChartCell[sentence.size()][sentence.size()+1]; for (int i = 0; i < chart.length; i++) { for (int j = i+1; j < chart[i].length; j++) { if (parseType == ParseType.INSIDE && cellType != ChartCellType.FULL) { throw new RuntimeException("Inside algorithm not implemented for cell type: " + cellType); } ChartCell cell; switch(cellType) { case SINGLE_HASH: chart[i][j] = new SingleHashChartCell(grammar, false); break; case SINGLE_HASH_BREAK_TIES: chart[i][j] = new SingleHashChartCell(grammar, true); break; case CONSTRAINED_SINGLE: cell = new SingleHashChartCell(grammar, true); chart[i][j] = new ConstrainedChartCell(i, j, cell, constraint, sentence); break; case DOUBLE_HASH: chart[i][j] = new DoubleHashChartCell(grammar); break; case FULL: chart[i][j] = new FullChartCell(i, j, grammar, parseType); break; case FULL_BREAK_TIES: chart[i][j] = new FullTieBreakerChartCell(grammar, true); break; case CONSTRAINED_FULL: cell = new FullTieBreakerChartCell(grammar, true); chart[i][j] = new ConstrainedChartCell(i, j, cell, constraint, sentence); break; default: throw new RuntimeException("not implemented for " + cellType); } } } return chart; }
java
private static ChartCell[][] getNewChart(Sentence sentence, CnfGrammar grammar, ChartCellType cellType, ParseType parseType, ChartCellConstraint constraint) { ChartCell[][] chart = new ChartCell[sentence.size()][sentence.size()+1]; for (int i = 0; i < chart.length; i++) { for (int j = i+1; j < chart[i].length; j++) { if (parseType == ParseType.INSIDE && cellType != ChartCellType.FULL) { throw new RuntimeException("Inside algorithm not implemented for cell type: " + cellType); } ChartCell cell; switch(cellType) { case SINGLE_HASH: chart[i][j] = new SingleHashChartCell(grammar, false); break; case SINGLE_HASH_BREAK_TIES: chart[i][j] = new SingleHashChartCell(grammar, true); break; case CONSTRAINED_SINGLE: cell = new SingleHashChartCell(grammar, true); chart[i][j] = new ConstrainedChartCell(i, j, cell, constraint, sentence); break; case DOUBLE_HASH: chart[i][j] = new DoubleHashChartCell(grammar); break; case FULL: chart[i][j] = new FullChartCell(i, j, grammar, parseType); break; case FULL_BREAK_TIES: chart[i][j] = new FullTieBreakerChartCell(grammar, true); break; case CONSTRAINED_FULL: cell = new FullTieBreakerChartCell(grammar, true); chart[i][j] = new ConstrainedChartCell(i, j, cell, constraint, sentence); break; default: throw new RuntimeException("not implemented for " + cellType); } } } return chart; }
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Gets a new chart of the appropriate size for the sentence, specific to this grammar, and with cells of the specified type.
[ "Gets", "a", "new", "chart", "of", "the", "appropriate", "size", "for", "the", "sentence", "specific", "to", "this", "grammar", "and", "with", "cells", "of", "the", "specified", "type", "." ]
786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/parse/cky/chart/Chart.java#L93-L131
12,254
mcaserta/spring-crypto-utils
src/main/java/com/springcryptoutils/core/cipher/symmetric/CiphererWithStaticKeyImpl.java
CiphererWithStaticKeyImpl.setInitializationVector
public void setInitializationVector(String initializationVector) { try { this.initializationVectorSpec = new IvParameterSpec(Base64.decodeBase64(initializationVector.getBytes("UTF-8"))); } catch (UnsupportedEncodingException e) { throw new SymmetricEncryptionException("UTF-8 is an unsupported encoding on this platform", e); } }
java
public void setInitializationVector(String initializationVector) { try { this.initializationVectorSpec = new IvParameterSpec(Base64.decodeBase64(initializationVector.getBytes("UTF-8"))); } catch (UnsupportedEncodingException e) { throw new SymmetricEncryptionException("UTF-8 is an unsupported encoding on this platform", e); } }
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A base64 encoded representation of the raw byte array containing the initialization vector. @param initializationVector the initialization vector @throws SymmetricEncryptionException on runtime errors
[ "A", "base64", "encoded", "representation", "of", "the", "raw", "byte", "array", "containing", "the", "initialization", "vector", "." ]
1dbf6211542fb1e3f9297941d691e7e89cc72c46
https://github.com/mcaserta/spring-crypto-utils/blob/1dbf6211542fb1e3f9297941d691e7e89cc72c46/src/main/java/com/springcryptoutils/core/cipher/symmetric/CiphererWithStaticKeyImpl.java#L90-L96
12,255
mgormley/pacaya
src/main/java/edu/jhu/pacaya/gm/inf/Beliefs.java
Beliefs.getValue
@Override public double getValue(int idx) { int vSize = MVecArray.count(varBeliefs); if (idx < vSize) { return MVecArray.getValue(idx, varBeliefs); } else { return MVecArray.getValue(idx - vSize, facBeliefs); } }
java
@Override public double getValue(int idx) { int vSize = MVecArray.count(varBeliefs); if (idx < vSize) { return MVecArray.getValue(idx, varBeliefs); } else { return MVecArray.getValue(idx - vSize, facBeliefs); } }
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Gets a particular value by treating this object as a vector. NOTE: This implementation is O(n). @param idx The index of the value to get. @return The value at that index.
[ "Gets", "a", "particular", "value", "by", "treating", "this", "object", "as", "a", "vector", "." ]
786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/gm/inf/Beliefs.java#L62-L70
12,256
mgormley/pacaya
src/main/java/edu/jhu/pacaya/gm/inf/Beliefs.java
Beliefs.setValue
public double setValue(int idx, double val) { int vSize = MVecArray.count(varBeliefs); if (idx < vSize) { return MVecArray.setValue(idx, val, varBeliefs); } else { return MVecArray.setValue(idx - vSize, val, facBeliefs); } }
java
public double setValue(int idx, double val) { int vSize = MVecArray.count(varBeliefs); if (idx < vSize) { return MVecArray.setValue(idx, val, varBeliefs); } else { return MVecArray.setValue(idx - vSize, val, facBeliefs); } }
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Sets a particular value by treating this object as a vector. NOTE: This implementation is O(n). @param idx The index of the value to set. @param val The value to set. @return The previous value at that index.
[ "Sets", "a", "particular", "value", "by", "treating", "this", "object", "as", "a", "vector", "." ]
786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/gm/inf/Beliefs.java#L81-L88
12,257
mgormley/pacaya
src/main/java/edu/jhu/pacaya/gm/data/bayesnet/BayesNetReader.java
BayesNetReader.readBnAsFg
public FactorGraph readBnAsFg(File networkFile, File cpdFile) throws IOException { return readBnAsFg(new FileInputStream(networkFile), new FileInputStream(cpdFile)); }
java
public FactorGraph readBnAsFg(File networkFile, File cpdFile) throws IOException { return readBnAsFg(new FileInputStream(networkFile), new FileInputStream(cpdFile)); }
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Reads a Bayesian Network from a network file and a CPD file, and returns a factor graph representation of it.
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786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/gm/data/bayesnet/BayesNetReader.java#L42-L44
12,258
mgormley/pacaya
src/main/java/edu/jhu/pacaya/gm/data/bayesnet/BayesNetReader.java
BayesNetReader.readBnAsFg
public FactorGraph readBnAsFg(InputStream networkIs, InputStream cpdIs) throws IOException { // Read network file. BufferedReader networkReader = new BufferedReader(new InputStreamReader(networkIs)); // -- read the number of variables. int numVars = Integer.parseInt(networkReader.readLine().trim()); varMap = new HashMap<String,Var>(); VarSet allVars = new VarSet(); for (int i = 0; i < numVars; i++) { Var var = parseVar(networkReader.readLine()); allVars.add(var); varMap.put(var.getName(), var); } assert (allVars.size() == numVars); // -- read the dependencies between variables. // ....or not... networkReader.close(); // Read CPD file. BufferedReader cpdReader = new BufferedReader(new InputStreamReader(cpdIs)); factorMap = new LinkedHashMap<VarSet, ExplicitFactor>(); String line; while ((line = cpdReader.readLine()) != null) { // Parse out the variable configuration. VarConfig config = new VarConfig(); String[] assns = whitespaceOrComma.split(line); for (int i=0; i<assns.length-1; i++) { String assn = assns[i]; String[] va = equals.split(assn); assert(va.length == 2); String varName = va[0]; String stateName = va[1]; config.put(varMap.get(varName), stateName); } // The double is the last value on the line. double value = Double.parseDouble(assns[assns.length-1]); // Factor graphs store the log value. value = FastMath.log(value); // Get the factor for this configuration, creating a new one if necessary. VarSet vars = config.getVars(); ExplicitFactor f = factorMap.get(vars); if (f == null) { f = new ExplicitFactor(vars); } // Set the value in the factor. f.setValue(config.getConfigIndex(), value); factorMap.put(vars, f); } cpdReader.close(); // Create the factor graph. FactorGraph fg = new FactorGraph(); for (ExplicitFactor f : factorMap.values()) { fg.addFactor(f); } return fg; }
java
public FactorGraph readBnAsFg(InputStream networkIs, InputStream cpdIs) throws IOException { // Read network file. BufferedReader networkReader = new BufferedReader(new InputStreamReader(networkIs)); // -- read the number of variables. int numVars = Integer.parseInt(networkReader.readLine().trim()); varMap = new HashMap<String,Var>(); VarSet allVars = new VarSet(); for (int i = 0; i < numVars; i++) { Var var = parseVar(networkReader.readLine()); allVars.add(var); varMap.put(var.getName(), var); } assert (allVars.size() == numVars); // -- read the dependencies between variables. // ....or not... networkReader.close(); // Read CPD file. BufferedReader cpdReader = new BufferedReader(new InputStreamReader(cpdIs)); factorMap = new LinkedHashMap<VarSet, ExplicitFactor>(); String line; while ((line = cpdReader.readLine()) != null) { // Parse out the variable configuration. VarConfig config = new VarConfig(); String[] assns = whitespaceOrComma.split(line); for (int i=0; i<assns.length-1; i++) { String assn = assns[i]; String[] va = equals.split(assn); assert(va.length == 2); String varName = va[0]; String stateName = va[1]; config.put(varMap.get(varName), stateName); } // The double is the last value on the line. double value = Double.parseDouble(assns[assns.length-1]); // Factor graphs store the log value. value = FastMath.log(value); // Get the factor for this configuration, creating a new one if necessary. VarSet vars = config.getVars(); ExplicitFactor f = factorMap.get(vars); if (f == null) { f = new ExplicitFactor(vars); } // Set the value in the factor. f.setValue(config.getConfigIndex(), value); factorMap.put(vars, f); } cpdReader.close(); // Create the factor graph. FactorGraph fg = new FactorGraph(); for (ExplicitFactor f : factorMap.values()) { fg.addFactor(f); } return fg; }
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Reads a Bayesian Network from a network InputStream and a CPD InputStream, and returns a factor graph representation of it.
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786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/gm/data/bayesnet/BayesNetReader.java#L50-L110
12,259
mgormley/pacaya
src/main/java/edu/jhu/pacaya/gm/data/bayesnet/BayesNetReader.java
BayesNetReader.parseVar
private static Var parseVar(String varLine) { String[] ws = whitespace.split(varLine); String name = ws[0]; List<String> stateNames = Arrays.asList(comma.split(ws[1])); int numStates = stateNames.size(); return new Var(VarType.PREDICTED, numStates, name, stateNames); }
java
private static Var parseVar(String varLine) { String[] ws = whitespace.split(varLine); String name = ws[0]; List<String> stateNames = Arrays.asList(comma.split(ws[1])); int numStates = stateNames.size(); return new Var(VarType.PREDICTED, numStates, name, stateNames); }
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Reads a variable from a line containing the variable name, a space, then a comma-separated list of the values it can take.
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786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/gm/data/bayesnet/BayesNetReader.java#L116-L122
12,260
mgormley/pacaya
src/main/java/edu/jhu/pacaya/sch/util/OrderedSet.java
OrderedSet.add
@Override public boolean add(T e) { if (elements.add(e)) { ordered.add(e); return true; } else { return false; } }
java
@Override public boolean add(T e) { if (elements.add(e)) { ordered.add(e); return true; } else { return false; } }
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maintain the set so that it is easy to test membership, the list so that there is a fixed order
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786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/sch/util/OrderedSet.java#L61-L69
12,261
mgormley/pacaya
src/main/java/edu/jhu/pacaya/sch/util/OrderedSet.java
OrderedSet.remove
@Override public boolean remove(Object o) { if (elements.remove(o)) { ordered.remove(o); return true; } else { return false; } }
java
@Override public boolean remove(Object o) { if (elements.remove(o)) { ordered.remove(o); return true; } else { return false; } }
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remove will be slow
[ "remove", "will", "be", "slow" ]
786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/sch/util/OrderedSet.java#L74-L83
12,262
mcaserta/spring-crypto-utils
src/main/java/com/springcryptoutils/core/digest/DigesterImpl.java
DigesterImpl.digest
public String digest(String message) { final byte[] messageAsByteArray; try { messageAsByteArray = message.getBytes(charsetName); } catch (UnsupportedEncodingException e) { throw new DigestException("error converting message to byte array: charsetName=" + charsetName, e); } final byte[] digest = digest(messageAsByteArray); switch (outputMode) { case BASE64: return Base64.encodeBase64String(digest); case HEX: return Hex.encodeHexString(digest); default: return null; } }
java
public String digest(String message) { final byte[] messageAsByteArray; try { messageAsByteArray = message.getBytes(charsetName); } catch (UnsupportedEncodingException e) { throw new DigestException("error converting message to byte array: charsetName=" + charsetName, e); } final byte[] digest = digest(messageAsByteArray); switch (outputMode) { case BASE64: return Base64.encodeBase64String(digest); case HEX: return Hex.encodeHexString(digest); default: return null; } }
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Returns the message digest. The representation of the message digest depends on the outputMode property. @param message the message @return the message digest @see #setOutputMode(OutputMode)
[ "Returns", "the", "message", "digest", ".", "The", "representation", "of", "the", "message", "digest", "depends", "on", "the", "outputMode", "property", "." ]
1dbf6211542fb1e3f9297941d691e7e89cc72c46
https://github.com/mcaserta/spring-crypto-utils/blob/1dbf6211542fb1e3f9297941d691e7e89cc72c46/src/main/java/com/springcryptoutils/core/digest/DigesterImpl.java#L97-L116
12,263
mgormley/pacaya
src/main/java/edu/jhu/pacaya/sch/graph/WeightedIntDiGraph.java
WeightedIntDiGraph.addEdge
@Override public void addEdge(DiEdge e) { if (!getEdges().contains(e)) { super.addEdge(e); weights.put(e, makeDefaultWeight.apply(e)); } }
java
@Override public void addEdge(DiEdge e) { if (!getEdges().contains(e)) { super.addEdge(e); weights.put(e, makeDefaultWeight.apply(e)); } }
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Attempts to adds the edge to the graph with default weight if not already present; If the edge is already present, does nothing.
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786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/sch/graph/WeightedIntDiGraph.java#L50-L56
12,264
mgormley/pacaya
src/main/java/edu/jhu/pacaya/sch/graph/WeightedIntDiGraph.java
WeightedIntDiGraph.addEdge
public void addEdge(DiEdge e, double w) { if (!getEdges().contains(e)) { super.addEdge(e); weights.put(e, w); } }
java
public void addEdge(DiEdge e, double w) { if (!getEdges().contains(e)) { super.addEdge(e); weights.put(e, w); } }
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Adds the edge with the given weight
[ "Adds", "the", "edge", "with", "the", "given", "weight" ]
786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/sch/graph/WeightedIntDiGraph.java#L61-L66
12,265
mgormley/pacaya
src/main/java/edu/jhu/pacaya/sch/graph/WeightedIntDiGraph.java
WeightedIntDiGraph.setWeight
public void setWeight(int s, int t, double w) { DiEdge e = edge(s, t); assertEdge(e); weights.put(e, w); }
java
public void setWeight(int s, int t, double w) { DiEdge e = edge(s, t); assertEdge(e); weights.put(e, w); }
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Sets the weight of the edge s->t to be w if the edge is present, otherwise, an IndexOutOfBoundsException is thrown
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786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/sch/graph/WeightedIntDiGraph.java#L112-L116
12,266
mgormley/pacaya
src/main/java/edu/jhu/pacaya/util/collections/QLists.java
QLists.sublist
public static <X> ArrayList<X> sublist(List<X> list, int start, int end) { ArrayList<X> sublist = new ArrayList<X>(); for (int i=start; i<end; i++) { sublist.add(list.get(i)); } return sublist; }
java
public static <X> ArrayList<X> sublist(List<X> list, int start, int end) { ArrayList<X> sublist = new ArrayList<X>(); for (int i=start; i<end; i++) { sublist.add(list.get(i)); } return sublist; }
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Creates a new list containing a slice of the original list. @param list The original list. @param start The index of the first element of the slice (inclusive). @param end The index of the last element of the slice (exclusive). @return A sublist containing elements [start, end).
[ "Creates", "a", "new", "list", "containing", "a", "slice", "of", "the", "original", "list", "." ]
786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/util/collections/QLists.java#L26-L32
12,267
mgormley/pacaya
src/main/java/edu/jhu/pacaya/util/collections/QLists.java
QLists.getInternedList
public static ArrayList<String> getInternedList(List<String> oldList) { ArrayList<String> newList = new ArrayList<String>(oldList.size()); for (String elem : oldList) { newList.add(elem.intern()); } return newList; }
java
public static ArrayList<String> getInternedList(List<String> oldList) { ArrayList<String> newList = new ArrayList<String>(oldList.size()); for (String elem : oldList) { newList.add(elem.intern()); } return newList; }
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Gets a new list of Strings that have been interned.
[ "Gets", "a", "new", "list", "of", "Strings", "that", "have", "been", "interned", "." ]
786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/util/collections/QLists.java#L97-L103
12,268
mgormley/pacaya
src/main/java/edu/jhu/pacaya/util/collections/QLists.java
QLists.intern
public static void intern(List<String> list) { if (list == null) { return; } for (int i=0; i<list.size(); i++) { String interned = list.get(i); if (interned != null) { interned = interned.intern(); } list.set(i, interned); } }
java
public static void intern(List<String> list) { if (list == null) { return; } for (int i=0; i<list.size(); i++) { String interned = list.get(i); if (interned != null) { interned = interned.intern(); } list.set(i, interned); } }
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Interns a list of strings in place.
[ "Interns", "a", "list", "of", "strings", "in", "place", "." ]
786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/util/collections/QLists.java#L106-L117
12,269
mgormley/pacaya
src/main/java/edu/jhu/pacaya/sch/util/Indexed.java
Indexed.collect
public static <T> Collection<T> collect(Iterable<T> stream) { LinkedList<T> collection = new LinkedList<>(); for (T e : stream) { collection.add(e); } return collection; }
java
public static <T> Collection<T> collect(Iterable<T> stream) { LinkedList<T> collection = new LinkedList<>(); for (T e : stream) { collection.add(e); } return collection; }
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Returns a Collections that contains all of the objects from the underlying stream in order
[ "Returns", "a", "Collections", "that", "contains", "all", "of", "the", "objects", "from", "the", "underlying", "stream", "in", "order" ]
786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/sch/util/Indexed.java#L72-L78
12,270
mgormley/pacaya
src/main/java/edu/jhu/pacaya/sch/util/Indexed.java
Indexed.enumerate
public static <T> Iterable<Indexed<T>> enumerate(Iterable<T> stream) { return new Iterable<Indexed<T>>() { @Override public Iterator<Indexed<T>> iterator() { Iterator<T> itr = stream.iterator(); return new Iterator<Indexed<T>>() { private int i = 0; @Override public boolean hasNext() { return itr.hasNext(); } @Override public Indexed<T> next() { Indexed<T> nextPair = new Indexed<T>(itr.next(), i); i++; return nextPair; } }; } }; }
java
public static <T> Iterable<Indexed<T>> enumerate(Iterable<T> stream) { return new Iterable<Indexed<T>>() { @Override public Iterator<Indexed<T>> iterator() { Iterator<T> itr = stream.iterator(); return new Iterator<Indexed<T>>() { private int i = 0; @Override public boolean hasNext() { return itr.hasNext(); } @Override public Indexed<T> next() { Indexed<T> nextPair = new Indexed<T>(itr.next(), i); i++; return nextPair; } }; } }; }
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Returns an iterable over Index objects that each hold one of the original objects of the stream as well its index in the stream
[ "Returns", "an", "iterable", "over", "Index", "objects", "that", "each", "hold", "one", "of", "the", "original", "objects", "of", "the", "stream", "as", "well", "its", "index", "in", "the", "stream" ]
786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/sch/util/Indexed.java#L84-L108
12,271
mgormley/pacaya
src/main/java/edu/jhu/pacaya/parse/dep/edmonds/DisjointSets.java
DisjointSets.find
public int find(int element) { if (trees[element] != element) trees[element] = find(trees[element]); return trees[element]; }
java
public int find(int element) { if (trees[element] != element) trees[element] = find(trees[element]); return trees[element]; }
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Return the set where the given element is. This implementation compresses the followed path. @param element @return
[ "Return", "the", "set", "where", "the", "given", "element", "is", ".", "This", "implementation", "compresses", "the", "followed", "path", "." ]
786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/parse/dep/edmonds/DisjointSets.java#L40-L44
12,272
mcaserta/spring-crypto-utils
src/main/java/com/springcryptoutils/core/certificate/CertificateRegistryByAliasImpl.java
CertificateRegistryByAliasImpl.get
public Certificate get(KeyStoreChooser keyStoreChooser, CertificateChooserByAlias certificateChooserByAlias) { CacheCert cacheCert = new CacheCert(keyStoreChooser.getKeyStoreName(), certificateChooserByAlias.getAlias()); Certificate retrievedCertificate = cache.get(cacheCert); if (retrievedCertificate != null) { return retrievedCertificate; } KeyStore keyStore = keyStoreRegistry.get(keyStoreChooser); if (keyStore != null) { CertificateFactoryBean factory = new CertificateFactoryBean(); factory.setKeystore(keyStore); factory.setAlias(certificateChooserByAlias.getAlias()); try { factory.afterPropertiesSet(); Certificate certificate = (Certificate) factory.getObject(); if (certificate != null) { cache.put(cacheCert, certificate); } return certificate; } catch (Exception e) { throw new CertificateException("error initializing the certificate factory bean", e); } } return null; }
java
public Certificate get(KeyStoreChooser keyStoreChooser, CertificateChooserByAlias certificateChooserByAlias) { CacheCert cacheCert = new CacheCert(keyStoreChooser.getKeyStoreName(), certificateChooserByAlias.getAlias()); Certificate retrievedCertificate = cache.get(cacheCert); if (retrievedCertificate != null) { return retrievedCertificate; } KeyStore keyStore = keyStoreRegistry.get(keyStoreChooser); if (keyStore != null) { CertificateFactoryBean factory = new CertificateFactoryBean(); factory.setKeystore(keyStore); factory.setAlias(certificateChooserByAlias.getAlias()); try { factory.afterPropertiesSet(); Certificate certificate = (Certificate) factory.getObject(); if (certificate != null) { cache.put(cacheCert, certificate); } return certificate; } catch (Exception e) { throw new CertificateException("error initializing the certificate factory bean", e); } } return null; }
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Returns the selected certificate or null if not found. @param keyStoreChooser the keystore chooser @param certificateChooserByAlias the certificate chooser by alias @return the selected certificate or null if not found
[ "Returns", "the", "selected", "certificate", "or", "null", "if", "not", "found", "." ]
1dbf6211542fb1e3f9297941d691e7e89cc72c46
https://github.com/mcaserta/spring-crypto-utils/blob/1dbf6211542fb1e3f9297941d691e7e89cc72c46/src/main/java/com/springcryptoutils/core/certificate/CertificateRegistryByAliasImpl.java#L50-L78
12,273
youngmonkeys/ezyfox-sfs2x
src/main/java/com/tvd12/ezyfox/sfs2x/serverhandler/ServerRoomEventHandler.java
ServerRoomEventHandler.checkHandler
protected boolean checkHandler(RoomHandlerClass handler, ApiRoom roomAgent, Object user) { return (handler.getRoomClass().isAssignableFrom(roomAgent.getClass())) && (roomAgent.getName().startsWith(handler.getRoomName())); }
java
protected boolean checkHandler(RoomHandlerClass handler, ApiRoom roomAgent, Object user) { return (handler.getRoomClass().isAssignableFrom(roomAgent.getClass())) && (roomAgent.getName().startsWith(handler.getRoomName())); }
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Validate the handler @param handler structure of handler class @param roomAgent room agent object @param user user agent object @return true or false
[ "Validate", "the", "handler" ]
7e004033a3b551c3ae970a0c8f45db7b1ec144de
https://github.com/youngmonkeys/ezyfox-sfs2x/blob/7e004033a3b551c3ae970a0c8f45db7b1ec144de/src/main/java/com/tvd12/ezyfox/sfs2x/serverhandler/ServerRoomEventHandler.java#L93-L97
12,274
youngmonkeys/ezyfox-sfs2x
src/main/java/com/tvd12/ezyfox/sfs2x/serverhandler/ServerRoomEventHandler.java
ServerRoomEventHandler.callHandleMethod
private void callHandleMethod(Method method, Object instance, Object roomAgent, Object userAgent) { ReflectMethodUtil.invokeHandleMethod(method, instance, context, roomAgent, userAgent); }
java
private void callHandleMethod(Method method, Object instance, Object roomAgent, Object userAgent) { ReflectMethodUtil.invokeHandleMethod(method, instance, context, roomAgent, userAgent); }
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Invoke handle method @param method handle method @param instance object to invoke method @param roomAgent room agent object @param userAgent user agent object
[ "Invoke", "handle", "method" ]
7e004033a3b551c3ae970a0c8f45db7b1ec144de
https://github.com/youngmonkeys/ezyfox-sfs2x/blob/7e004033a3b551c3ae970a0c8f45db7b1ec144de/src/main/java/com/tvd12/ezyfox/sfs2x/serverhandler/ServerRoomEventHandler.java#L107-L111
12,275
youngmonkeys/ezyfox-sfs2x
src/main/java/com/tvd12/ezyfox/sfs2x/command/impl/UpdateRoomImpl.java
UpdateRoomImpl.execute
@SuppressWarnings("unchecked") @Override public ApiRoom execute() { Room sfsRoom = CommandUtil.getSfsRoom(agent, extension); User sfsUser = CommandUtil.getSfsUser(user, api); //check null if(sfsRoom == null) return null; //get variables from agent AgentClassUnwrapper unwrapper = context.getRoomAgentClass( agent.getClass()).getUnwrapper(); List<RoomVariable> variables = new RoomAgentSerializer().serialize(unwrapper, agent); List<RoomVariable> answer = variables; if(includedVars.size() > 0) answer = getVariables(variables, includedVars); answer.removeAll(getVariables(answer, excludedVars)); //notify to client and serverself if(toClient) api.setRoomVariables(sfsUser, sfsRoom, answer); //only for server else sfsRoom.setVariables(answer); return agent; }
java
@SuppressWarnings("unchecked") @Override public ApiRoom execute() { Room sfsRoom = CommandUtil.getSfsRoom(agent, extension); User sfsUser = CommandUtil.getSfsUser(user, api); //check null if(sfsRoom == null) return null; //get variables from agent AgentClassUnwrapper unwrapper = context.getRoomAgentClass( agent.getClass()).getUnwrapper(); List<RoomVariable> variables = new RoomAgentSerializer().serialize(unwrapper, agent); List<RoomVariable> answer = variables; if(includedVars.size() > 0) answer = getVariables(variables, includedVars); answer.removeAll(getVariables(answer, excludedVars)); //notify to client and serverself if(toClient) api.setRoomVariables(sfsUser, sfsRoom, answer); //only for server else sfsRoom.setVariables(answer); return agent; }
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Execute update room variables
[ "Execute", "update", "room", "variables" ]
7e004033a3b551c3ae970a0c8f45db7b1ec144de
https://github.com/youngmonkeys/ezyfox-sfs2x/blob/7e004033a3b551c3ae970a0c8f45db7b1ec144de/src/main/java/com/tvd12/ezyfox/sfs2x/command/impl/UpdateRoomImpl.java#L46-L73
12,276
mgormley/pacaya
src/main/java/edu/jhu/pacaya/hypergraph/depparse/HyperDepParser.java
HyperDepParser.getEdgeMarginalsRealSemiring
public static EdgeScores getEdgeMarginalsRealSemiring(O2AllGraDpHypergraph graph, Scores sc) { Algebra s = graph.getAlgebra(); int nplus = graph.getNumTokens()+1; Hypernode[][][][] c = graph.getChart(); EdgeScores marg = new EdgeScores(graph.getNumTokens(), 0.0); for (int width = 1; width < nplus; width++) { for (int i = 0; i < nplus - width; i++) { int j = i + width; for (int g=0; g<nplus; g++) { if (i <= g && g <= j && !(i==0 && g==O2AllGraDpHypergraph.NIL)) { continue; } if (j > 0) { marg.incrScore(i-1, j-1, s.toReal(sc.marginal[c[i][j][g][O2AllGraDpHypergraph.INCOMPLETE].getId()])); } if (i > 0) { marg.incrScore(j-1, i-1, s.toReal(sc.marginal[c[j][i][g][O2AllGraDpHypergraph.INCOMPLETE].getId()])); } } } } return marg; }
java
public static EdgeScores getEdgeMarginalsRealSemiring(O2AllGraDpHypergraph graph, Scores sc) { Algebra s = graph.getAlgebra(); int nplus = graph.getNumTokens()+1; Hypernode[][][][] c = graph.getChart(); EdgeScores marg = new EdgeScores(graph.getNumTokens(), 0.0); for (int width = 1; width < nplus; width++) { for (int i = 0; i < nplus - width; i++) { int j = i + width; for (int g=0; g<nplus; g++) { if (i <= g && g <= j && !(i==0 && g==O2AllGraDpHypergraph.NIL)) { continue; } if (j > 0) { marg.incrScore(i-1, j-1, s.toReal(sc.marginal[c[i][j][g][O2AllGraDpHypergraph.INCOMPLETE].getId()])); } if (i > 0) { marg.incrScore(j-1, i-1, s.toReal(sc.marginal[c[j][i][g][O2AllGraDpHypergraph.INCOMPLETE].getId()])); } } } } return marg; }
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Gets the edge marginals in the real semiring from an all-grandparents hypergraph and its marginals in scores.
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786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/hypergraph/depparse/HyperDepParser.java#L163-L184
12,277
mgormley/pacaya
src/main/java/edu/jhu/pacaya/gm/model/globalfac/ProjDepTreeFactor.java
ProjDepTreeFactor.hasOneParentPerToken
public static boolean hasOneParentPerToken(int n, VarConfig vc) { int[] parents = new int[n]; Arrays.fill(parents, -2); for (Var v : vc.getVars()) { if (v instanceof LinkVar) { LinkVar link = (LinkVar) v; if (vc.getState(v) == LinkVar.TRUE) { if (parents[link.getChild()] != -2) { // Multiple parents defined for the same child. return false; } parents[link.getChild()] = link.getParent(); } } } return !ArrayUtils.contains(parents, -2); }
java
public static boolean hasOneParentPerToken(int n, VarConfig vc) { int[] parents = new int[n]; Arrays.fill(parents, -2); for (Var v : vc.getVars()) { if (v instanceof LinkVar) { LinkVar link = (LinkVar) v; if (vc.getState(v) == LinkVar.TRUE) { if (parents[link.getChild()] != -2) { // Multiple parents defined for the same child. return false; } parents[link.getChild()] = link.getParent(); } } } return !ArrayUtils.contains(parents, -2); }
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Returns whether this variable assignment specifies one parent per token.
[ "Returns", "whether", "this", "variable", "assignment", "specifies", "one", "parent", "per", "token", "." ]
786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/gm/model/globalfac/ProjDepTreeFactor.java#L229-L245
12,278
mgormley/pacaya
src/main/java/edu/jhu/pacaya/gm/model/globalfac/ProjDepTreeFactor.java
ProjDepTreeFactor.getParents
public static int[] getParents(int n, VarConfig vc) { int[] parents = new int[n]; Arrays.fill(parents, -2); for (Var v : vc.getVars()) { if (v instanceof LinkVar) { LinkVar link = (LinkVar) v; if (vc.getState(v) == LinkVar.TRUE) { if (parents[link.getChild()] != -2) { throw new IllegalStateException( "Multiple parents defined for the same child. Is this VarConfig for only one example?"); } parents[link.getChild()] = link.getParent(); } } } return parents; }
java
public static int[] getParents(int n, VarConfig vc) { int[] parents = new int[n]; Arrays.fill(parents, -2); for (Var v : vc.getVars()) { if (v instanceof LinkVar) { LinkVar link = (LinkVar) v; if (vc.getState(v) == LinkVar.TRUE) { if (parents[link.getChild()] != -2) { throw new IllegalStateException( "Multiple parents defined for the same child. Is this VarConfig for only one example?"); } parents[link.getChild()] = link.getParent(); } } } return parents; }
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Extracts the parents as defined by a variable assignment for a single sentence. NOTE: This should NOT be used for decoding since a proper decoder will enforce the tree constraint. @param n The sentence length. @param vc The variable assignment. @return The parents array.
[ "Extracts", "the", "parents", "as", "defined", "by", "a", "variable", "assignment", "for", "a", "single", "sentence", "." ]
786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/gm/model/globalfac/ProjDepTreeFactor.java#L258-L274
12,279
mgormley/pacaya
src/main/java/edu/jhu/pacaya/gm/inf/BruteForceInferencer.java
BruteForceInferencer.getProductOfAllFactors
private static VarTensor getProductOfAllFactors(FactorGraph fg, Algebra s) { VarTensor joint = new VarTensor(s, new VarSet(), s.one()); for (int a=0; a<fg.getNumFactors(); a++) { Factor f = fg.getFactor(a); VarTensor factor = safeNewVarTensor(s, f); assert !factor.containsBadValues() : factor; joint.prod(factor); } return joint; }
java
private static VarTensor getProductOfAllFactors(FactorGraph fg, Algebra s) { VarTensor joint = new VarTensor(s, new VarSet(), s.one()); for (int a=0; a<fg.getNumFactors(); a++) { Factor f = fg.getFactor(a); VarTensor factor = safeNewVarTensor(s, f); assert !factor.containsBadValues() : factor; joint.prod(factor); } return joint; }
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Gets the product of all the factors in the factor graph. If working in the log-domain, this will do factor addition. @return The product of all the factors.
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786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/gm/inf/BruteForceInferencer.java#L53-L62
12,280
youngmonkeys/ezyfox-sfs2x
src/main/java/com/tvd12/ezyfox/sfs2x/serverhandler/UserZoneEventHandler.java
UserZoneEventHandler.checkHandler
protected boolean checkHandler(ZoneHandlerClass handler, ApiZone apiZone) { return apiZone.getName().startsWith(handler.getZoneName()); }
java
protected boolean checkHandler(ZoneHandlerClass handler, ApiZone apiZone) { return apiZone.getName().startsWith(handler.getZoneName()); }
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Check zone name @param handler structure of handle class @param apiZone api zone reference @return true of false
[ "Check", "zone", "name" ]
7e004033a3b551c3ae970a0c8f45db7b1ec144de
https://github.com/youngmonkeys/ezyfox-sfs2x/blob/7e004033a3b551c3ae970a0c8f45db7b1ec144de/src/main/java/com/tvd12/ezyfox/sfs2x/serverhandler/UserZoneEventHandler.java#L120-L122
12,281
youngmonkeys/ezyfox-sfs2x
src/main/java/com/tvd12/ezyfox/sfs2x/serverhandler/UserZoneEventHandler.java
UserZoneEventHandler.callHandleMethod
private void callHandleMethod(Method method, Object instance, ApiZone apiZone, Object userAgent) { ReflectMethodUtil.invokeHandleMethod(method, instance, context, apiZone, userAgent); }
java
private void callHandleMethod(Method method, Object instance, ApiZone apiZone, Object userAgent) { ReflectMethodUtil.invokeHandleMethod(method, instance, context, apiZone, userAgent); }
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Call handle method @param method handle method @param instance object to call method @param apiZone api zone reference @param userAgent user agent reference
[ "Call", "handle", "method" ]
7e004033a3b551c3ae970a0c8f45db7b1ec144de
https://github.com/youngmonkeys/ezyfox-sfs2x/blob/7e004033a3b551c3ae970a0c8f45db7b1ec144de/src/main/java/com/tvd12/ezyfox/sfs2x/serverhandler/UserZoneEventHandler.java#L136-L139
12,282
mgormley/pacaya
src/main/java/edu/jhu/pacaya/sch/util/dist/TruncatedNormal.java
TruncatedNormal.probabilityTruncZero
public static double probabilityTruncZero(double a, double b, double mu, double sigma) { // clip at zero a = Math.max(a, 0.0); b = Math.max(b, 0.0); final double denom = sigma * SQRT2; final double scaledSDA = (a - mu) / denom; final double scaledSDB = (b - mu) / denom; // compute prob final double probNormTimes2 = Erf.erf(scaledSDA, scaledSDB); // renormalize final double scaledSD0 = -mu / denom; final double reZTimes2 = Erf.erfc(scaledSD0); return probNormTimes2 / reZTimes2; }
java
public static double probabilityTruncZero(double a, double b, double mu, double sigma) { // clip at zero a = Math.max(a, 0.0); b = Math.max(b, 0.0); final double denom = sigma * SQRT2; final double scaledSDA = (a - mu) / denom; final double scaledSDB = (b - mu) / denom; // compute prob final double probNormTimes2 = Erf.erf(scaledSDA, scaledSDB); // renormalize final double scaledSD0 = -mu / denom; final double reZTimes2 = Erf.erfc(scaledSD0); return probNormTimes2 / reZTimes2; }
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returns the probability of x falling within the range of a to b under a normal distribution with mean mu and standard deviation sigma if the distribution is truncated below 0 and renormalized a and b should both be greater than or equal to 0 but this is not checked
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786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/sch/util/dist/TruncatedNormal.java#L89-L102
12,283
mgormley/pacaya
src/main/java/edu/jhu/pacaya/sch/util/dist/TruncatedNormal.java
TruncatedNormal.meanTruncLower
public static double meanTruncLower(double mu, double sigma, double lowerBound) { double alpha = (lowerBound - mu) / sigma; double phiAlpha = densityNonTrunc(alpha, 0, 1.0); double cPhiAlpha = cumulativeNonTrunc(alpha, 0, 1.0); return mu + sigma * phiAlpha / (1.0 - cPhiAlpha); }
java
public static double meanTruncLower(double mu, double sigma, double lowerBound) { double alpha = (lowerBound - mu) / sigma; double phiAlpha = densityNonTrunc(alpha, 0, 1.0); double cPhiAlpha = cumulativeNonTrunc(alpha, 0, 1.0); return mu + sigma * phiAlpha / (1.0 - cPhiAlpha); }
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Returns the mean of the normal distribution truncated to 0 for values of x < lowerBound
[ "Returns", "the", "mean", "of", "the", "normal", "distribution", "truncated", "to", "0", "for", "values", "of", "x", "<", "lowerBound" ]
786294cbac7cc65dbc32210c10acc32ed0c69233
https://github.com/mgormley/pacaya/blob/786294cbac7cc65dbc32210c10acc32ed0c69233/src/main/java/edu/jhu/pacaya/sch/util/dist/TruncatedNormal.java#L189-L194
12,284
JodaOrg/joda-collect
src/main/java/org/joda/collect/grid/MutableCell.java
MutableCell.set
void set(int row, int column, V value) { this.row = row; this.column = column; this.value = value; }
java
void set(int row, int column, V value) { this.row = row; this.column = column; this.value = value; }
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Sets the content of the cell. @param row the row index @param column the column index @param value the value
[ "Sets", "the", "content", "of", "the", "cell", "." ]
a4b05d5eebad5beb41715c0678cf11835cf0fa3f
https://github.com/JodaOrg/joda-collect/blob/a4b05d5eebad5beb41715c0678cf11835cf0fa3f/src/main/java/org/joda/collect/grid/MutableCell.java#L74-L78
12,285
artikcloud/artikcloud-java
src/main/java/cloud/artik/api/DevicesApi.java
DevicesApi.getDevice
public DeviceEnvelope getDevice(String deviceId) throws ApiException { ApiResponse<DeviceEnvelope> resp = getDeviceWithHttpInfo(deviceId); return resp.getData(); }
java
public DeviceEnvelope getDevice(String deviceId) throws ApiException { ApiResponse<DeviceEnvelope> resp = getDeviceWithHttpInfo(deviceId); return resp.getData(); }
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Get Device Retrieves a device @param deviceId deviceId (required) @return DeviceEnvelope @throws ApiException If fail to call the API, e.g. server error or cannot deserialize the response body
[ "Get", "Device", "Retrieves", "a", "device" ]
412f447573e7796ab4f685c0bdd5eb76185a365c
https://github.com/artikcloud/artikcloud-java/blob/412f447573e7796ab4f685c0bdd5eb76185a365c/src/main/java/cloud/artik/api/DevicesApi.java#L483-L486
12,286
artikcloud/artikcloud-java
src/main/java/cloud/artik/api/SubscriptionsApi.java
SubscriptionsApi.deleteSubscription
public SubscriptionEnvelope deleteSubscription(String subId) throws ApiException { ApiResponse<SubscriptionEnvelope> resp = deleteSubscriptionWithHttpInfo(subId); return resp.getData(); }
java
public SubscriptionEnvelope deleteSubscription(String subId) throws ApiException { ApiResponse<SubscriptionEnvelope> resp = deleteSubscriptionWithHttpInfo(subId); return resp.getData(); }
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Delete Subscription Delete Subscription @param subId Subscription ID. (required) @return SubscriptionEnvelope @throws ApiException If fail to call the API, e.g. server error or cannot deserialize the response body
[ "Delete", "Subscription", "Delete", "Subscription" ]
412f447573e7796ab4f685c0bdd5eb76185a365c
https://github.com/artikcloud/artikcloud-java/blob/412f447573e7796ab4f685c0bdd5eb76185a365c/src/main/java/cloud/artik/api/SubscriptionsApi.java#L246-L249
12,287
Harium/keel
src/main/java/jdt/triangulation/GridIndex.java
GridIndex.init
private void init(DelaunayTriangulation delaunay, int xCellCount, int yCellCount, BoundingBox region) { indexDelaunay = delaunay; indexRegion = region; x_size = region.getWidth() / yCellCount; y_size = region.getHeight() / xCellCount; // The grid will hold a trinagle for each cell, so a point (x,y) will lie // in the cell representing the grid partition of region to a // xCellCount on yCellCount grid grid = new Triangle[xCellCount][yCellCount]; Triangle colStartTriangle = indexDelaunay.find(middleOfCell(0, 0)); updateCellValues(0, 0, xCellCount - 1, yCellCount - 1, colStartTriangle); }
java
private void init(DelaunayTriangulation delaunay, int xCellCount, int yCellCount, BoundingBox region) { indexDelaunay = delaunay; indexRegion = region; x_size = region.getWidth() / yCellCount; y_size = region.getHeight() / xCellCount; // The grid will hold a trinagle for each cell, so a point (x,y) will lie // in the cell representing the grid partition of region to a // xCellCount on yCellCount grid grid = new Triangle[xCellCount][yCellCount]; Triangle colStartTriangle = indexDelaunay.find(middleOfCell(0, 0)); updateCellValues(0, 0, xCellCount - 1, yCellCount - 1, colStartTriangle); }
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Initialize the grid index @param delaunay delaunay triangulation to index @param xCellCount number of grid cells in a row @param yCellCount number of grid cells in a column @param region geographic region to index
[ "Initialize", "the", "grid", "index" ]
0369ae674f9e664bccc5f9e161ae7e7a3b949a1e
https://github.com/Harium/keel/blob/0369ae674f9e664bccc5f9e161ae7e7a3b949a1e/src/main/java/jdt/triangulation/GridIndex.java#L104-L117
12,288
Harium/keel
src/main/java/jdt/triangulation/GridIndex.java
GridIndex.findCellTriangleOf
public Triangle findCellTriangleOf(Point3D point) { int x_index = (int) ((point.x - indexRegion.minX()) / x_size); int y_index = (int) ((point.y - indexRegion.minY()) / y_size); return grid[x_index][y_index]; }
java
public Triangle findCellTriangleOf(Point3D point) { int x_index = (int) ((point.x - indexRegion.minX()) / x_size); int y_index = (int) ((point.y - indexRegion.minY()) / y_size); return grid[x_index][y_index]; }
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Finds a triangle near the given point @param point a query point @return a triangle at the same cell of the point
[ "Finds", "a", "triangle", "near", "the", "given", "point" ]
0369ae674f9e664bccc5f9e161ae7e7a3b949a1e
https://github.com/Harium/keel/blob/0369ae674f9e664bccc5f9e161ae7e7a3b949a1e/src/main/java/jdt/triangulation/GridIndex.java#L125-L129
12,289
Harium/keel
src/main/java/jdt/triangulation/GridIndex.java
GridIndex.updateIndex
public void updateIndex(Iterator<Triangle> updatedTriangles) { // Gather the bounding box of the updated area BoundingBox updatedRegion = new BoundingBox(); while (updatedTriangles.hasNext()) { updatedRegion = updatedRegion.unionWith(updatedTriangles.next().getBoundingBox()); } if (updatedRegion.isNull()) // No update... return; // Bad news - the updated region lies outside the indexed region. // The whole index must be recalculated if (!indexRegion.contains(updatedRegion)) { init(indexDelaunay, (int) (indexRegion.getWidth() / x_size), (int) (indexRegion.getHeight() / y_size), indexRegion.unionWith(updatedRegion)); } else { // Find the cell region to be updated Vector2i minInvalidCell = getCellOf(updatedRegion.getMinPoint()); Vector2i maxInvalidCell = getCellOf(updatedRegion.getMaxPoint()); // And update it with fresh triangles Triangle adjacentValidTriangle = findValidTriangle(minInvalidCell); updateCellValues(minInvalidCell.getX(), minInvalidCell.getY(), maxInvalidCell.getX(), maxInvalidCell.getY(), adjacentValidTriangle); } }
java
public void updateIndex(Iterator<Triangle> updatedTriangles) { // Gather the bounding box of the updated area BoundingBox updatedRegion = new BoundingBox(); while (updatedTriangles.hasNext()) { updatedRegion = updatedRegion.unionWith(updatedTriangles.next().getBoundingBox()); } if (updatedRegion.isNull()) // No update... return; // Bad news - the updated region lies outside the indexed region. // The whole index must be recalculated if (!indexRegion.contains(updatedRegion)) { init(indexDelaunay, (int) (indexRegion.getWidth() / x_size), (int) (indexRegion.getHeight() / y_size), indexRegion.unionWith(updatedRegion)); } else { // Find the cell region to be updated Vector2i minInvalidCell = getCellOf(updatedRegion.getMinPoint()); Vector2i maxInvalidCell = getCellOf(updatedRegion.getMaxPoint()); // And update it with fresh triangles Triangle adjacentValidTriangle = findValidTriangle(minInvalidCell); updateCellValues(minInvalidCell.getX(), minInvalidCell.getY(), maxInvalidCell.getX(), maxInvalidCell.getY(), adjacentValidTriangle); } }
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Updates the grid index to reflect changes to the triangulation. Note that added triangles outside the indexed region will force to recompute the whole index with the enlarged region. @param updatedTriangles changed triangles of the triangulation. This may be added triangles, removed triangles or both. All that matter is that they cover the changed area.
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0369ae674f9e664bccc5f9e161ae7e7a3b949a1e
https://github.com/Harium/keel/blob/0369ae674f9e664bccc5f9e161ae7e7a3b949a1e/src/main/java/jdt/triangulation/GridIndex.java#L145-L173
12,290
Harium/keel
src/main/java/jdt/triangulation/GridIndex.java
GridIndex.getCellOf
private Vector2i getCellOf(Point3D coordinate) { int xCell = (int) ((coordinate.x - indexRegion.minX()) / x_size); int yCell = (int) ((coordinate.y - indexRegion.minY()) / y_size); return new Vector2i(xCell, yCell); }
java
private Vector2i getCellOf(Point3D coordinate) { int xCell = (int) ((coordinate.x - indexRegion.minX()) / x_size); int yCell = (int) ((coordinate.y - indexRegion.minY()) / y_size); return new Vector2i(xCell, yCell); }
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Locates the grid cell point covering the given coordinate @param coordinate world coordinate to locate @return cell covering the coordinate
[ "Locates", "the", "grid", "cell", "point", "covering", "the", "given", "coordinate" ]
0369ae674f9e664bccc5f9e161ae7e7a3b949a1e
https://github.com/Harium/keel/blob/0369ae674f9e664bccc5f9e161ae7e7a3b949a1e/src/main/java/jdt/triangulation/GridIndex.java#L217-L221
12,291
Harium/keel
src/main/java/jdt/triangulation/GridIndex.java
GridIndex.middleOfCell
private Vector3 middleOfCell(int x_index, int y_index) { float middleXCell = (float) (indexRegion.minX() + x_index * x_size + x_size / 2); float middleYCell = (float) (indexRegion.minY() + y_index * y_size + y_size / 2); return new Vector3(middleXCell, middleYCell, 0); }
java
private Vector3 middleOfCell(int x_index, int y_index) { float middleXCell = (float) (indexRegion.minX() + x_index * x_size + x_size / 2); float middleYCell = (float) (indexRegion.minY() + y_index * y_size + y_size / 2); return new Vector3(middleXCell, middleYCell, 0); }
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Create a point at the center of a cell @param x_index horizontal cell index @param y_index vertical cell index @return Point at the center of the cell at (x_index, y_index)
[ "Create", "a", "point", "at", "the", "center", "of", "a", "cell" ]
0369ae674f9e664bccc5f9e161ae7e7a3b949a1e
https://github.com/Harium/keel/blob/0369ae674f9e664bccc5f9e161ae7e7a3b949a1e/src/main/java/jdt/triangulation/GridIndex.java#L230-L234
12,292
Harium/keel
src/main/java/com/harium/keel/catalano/math/function/Gamma.java
Gamma.Function
public static double Function(double x) { double[] P = { 1.60119522476751861407E-4, 1.19135147006586384913E-3, 1.04213797561761569935E-2, 4.76367800457137231464E-2, 2.07448227648435975150E-1, 4.94214826801497100753E-1, 9.99999999999999996796E-1 }; double[] Q = { -2.31581873324120129819E-5, 5.39605580493303397842E-4, -4.45641913851797240494E-3, 1.18139785222060435552E-2, 3.58236398605498653373E-2, -2.34591795718243348568E-1, 7.14304917030273074085E-2, 1.00000000000000000320E0 }; double p, z; double q = Math.abs(x); if (q > 33.0) { if (x < 0.0) { p = Math.floor(q); if (p == q) { try { throw new ArithmeticException("Overflow"); } catch (Exception e) { e.printStackTrace(); } } z = q - p; if (z > 0.5) { p += 1.0; z = q - p; } z = q * Math.sin(Math.PI * z); if (z == 0.0) { try { throw new ArithmeticException("Overflow"); } catch (Exception e) { e.printStackTrace(); } } z = Math.abs(z); z = Math.PI / (z * Stirling(q)); return -z; } else { return Stirling(x); } } z = 1.0; while (x >= 3.0) { x -= 1.0; z *= x; } while (x < 0.0) { if (x == 0.0) { throw new ArithmeticException(); } else if (x > -1.0E-9) { return (z / ((1.0 + 0.5772156649015329 * x) * x)); } z /= x; x += 1.0; } while (x < 2.0) { if (x == 0.0) { throw new ArithmeticException(); } else if (x < 1.0E-9) { return (z / ((1.0 + 0.5772156649015329 * x) * x)); } z /= x; x += 1.0; } if ((x == 2.0) || (x == 3.0)) return z; x -= 2.0; p = Special.Polevl(x, P, 6); q = Special.Polevl(x, Q, 7); return z * p / q; }
java
public static double Function(double x) { double[] P = { 1.60119522476751861407E-4, 1.19135147006586384913E-3, 1.04213797561761569935E-2, 4.76367800457137231464E-2, 2.07448227648435975150E-1, 4.94214826801497100753E-1, 9.99999999999999996796E-1 }; double[] Q = { -2.31581873324120129819E-5, 5.39605580493303397842E-4, -4.45641913851797240494E-3, 1.18139785222060435552E-2, 3.58236398605498653373E-2, -2.34591795718243348568E-1, 7.14304917030273074085E-2, 1.00000000000000000320E0 }; double p, z; double q = Math.abs(x); if (q > 33.0) { if (x < 0.0) { p = Math.floor(q); if (p == q) { try { throw new ArithmeticException("Overflow"); } catch (Exception e) { e.printStackTrace(); } } z = q - p; if (z > 0.5) { p += 1.0; z = q - p; } z = q * Math.sin(Math.PI * z); if (z == 0.0) { try { throw new ArithmeticException("Overflow"); } catch (Exception e) { e.printStackTrace(); } } z = Math.abs(z); z = Math.PI / (z * Stirling(q)); return -z; } else { return Stirling(x); } } z = 1.0; while (x >= 3.0) { x -= 1.0; z *= x; } while (x < 0.0) { if (x == 0.0) { throw new ArithmeticException(); } else if (x > -1.0E-9) { return (z / ((1.0 + 0.5772156649015329 * x) * x)); } z /= x; x += 1.0; } while (x < 2.0) { if (x == 0.0) { throw new ArithmeticException(); } else if (x < 1.0E-9) { return (z / ((1.0 + 0.5772156649015329 * x) * x)); } z /= x; x += 1.0; } if ((x == 2.0) || (x == 3.0)) return z; x -= 2.0; p = Special.Polevl(x, P, 6); q = Special.Polevl(x, Q, 7); return z * p / q; }
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Gamma function of the specified value. @param x Value. @return Result.
[ "Gamma", "function", "of", "the", "specified", "value", "." ]
0369ae674f9e664bccc5f9e161ae7e7a3b949a1e
https://github.com/Harium/keel/blob/0369ae674f9e664bccc5f9e161ae7e7a3b949a1e/src/main/java/com/harium/keel/catalano/math/function/Gamma.java#L55-L152
12,293
Harium/keel
src/main/java/com/harium/keel/catalano/math/function/Gamma.java
Gamma.Stirling
public static double Stirling(double x) { double[] STIR = { 7.87311395793093628397E-4, -2.29549961613378126380E-4, -2.68132617805781232825E-3, 3.47222221605458667310E-3, 8.33333333333482257126E-2, }; double MAXSTIR = 143.01608; double w = 1.0 / x; double y = Math.exp(x); w = 1.0 + w * Special.Polevl(w, STIR, 4); if (x > MAXSTIR) { double v = Math.pow(x, 0.5 * x - 0.25); y = v * (v / y); } else { y = Math.pow(x, x - 0.5) / y; } y = 2.50662827463100050242E0 * y * w; return y; }
java
public static double Stirling(double x) { double[] STIR = { 7.87311395793093628397E-4, -2.29549961613378126380E-4, -2.68132617805781232825E-3, 3.47222221605458667310E-3, 8.33333333333482257126E-2, }; double MAXSTIR = 143.01608; double w = 1.0 / x; double y = Math.exp(x); w = 1.0 + w * Special.Polevl(w, STIR, 4); if (x > MAXSTIR) { double v = Math.pow(x, 0.5 * x - 0.25); y = v * (v / y); } else { y = Math.pow(x, x - 0.5) / y; } y = 2.50662827463100050242E0 * y * w; return y; }
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Gamma function as computed by Stirling's formula. @param x Value. @return Result.
[ "Gamma", "function", "as", "computed", "by", "Stirling", "s", "formula", "." ]
0369ae674f9e664bccc5f9e161ae7e7a3b949a1e
https://github.com/Harium/keel/blob/0369ae674f9e664bccc5f9e161ae7e7a3b949a1e/src/main/java/com/harium/keel/catalano/math/function/Gamma.java#L258-L283
12,294
Harium/keel
src/main/java/com/harium/keel/catalano/math/function/Gamma.java
Gamma.Digamma
public static double Digamma(double x) { double s = 0; double w = 0; double y = 0; double z = 0; double nz = 0; boolean negative = false; if (x <= 0.0) { negative = true; double q = x; double p = (int) Math.floor(q); if (p == q) { try { throw new ArithmeticException("Function computation resulted in arithmetic overflow."); } catch (Exception e) { e.printStackTrace(); } } nz = q - p; if (nz != 0.5) { if (nz > 0.5) { p = p + 1.0; nz = q - p; } nz = Math.PI / Math.tan(Math.PI * nz); } else { nz = 0.0; } x = 1.0 - x; } if (x <= 10.0 && x == Math.floor(x)) { y = 0.0; int n = (int) Math.floor(x); for (int i = 1; i <= n - 1; i++) { w = i; y = y + 1.0 / w; } y = y - 0.57721566490153286061; } else { s = x; w = 0.0; while (s < 10.0) { w = w + 1.0 / s; s = s + 1.0; } if (s < 1.0E17) { z = 1.0 / (s * s); double polv = 8.33333333333333333333E-2; polv = polv * z - 2.10927960927960927961E-2; polv = polv * z + 7.57575757575757575758E-3; polv = polv * z - 4.16666666666666666667E-3; polv = polv * z + 3.96825396825396825397E-3; polv = polv * z - 8.33333333333333333333E-3; polv = polv * z + 8.33333333333333333333E-2; y = z * polv; } else { y = 0.0; } y = Math.log(s) - 0.5 / s - y - w; } if (negative == true) { y = y - nz; } return y; }
java
public static double Digamma(double x) { double s = 0; double w = 0; double y = 0; double z = 0; double nz = 0; boolean negative = false; if (x <= 0.0) { negative = true; double q = x; double p = (int) Math.floor(q); if (p == q) { try { throw new ArithmeticException("Function computation resulted in arithmetic overflow."); } catch (Exception e) { e.printStackTrace(); } } nz = q - p; if (nz != 0.5) { if (nz > 0.5) { p = p + 1.0; nz = q - p; } nz = Math.PI / Math.tan(Math.PI * nz); } else { nz = 0.0; } x = 1.0 - x; } if (x <= 10.0 && x == Math.floor(x)) { y = 0.0; int n = (int) Math.floor(x); for (int i = 1; i <= n - 1; i++) { w = i; y = y + 1.0 / w; } y = y - 0.57721566490153286061; } else { s = x; w = 0.0; while (s < 10.0) { w = w + 1.0 / s; s = s + 1.0; } if (s < 1.0E17) { z = 1.0 / (s * s); double polv = 8.33333333333333333333E-2; polv = polv * z - 2.10927960927960927961E-2; polv = polv * z + 7.57575757575757575758E-3; polv = polv * z - 4.16666666666666666667E-3; polv = polv * z + 3.96825396825396825397E-3; polv = polv * z - 8.33333333333333333333E-3; polv = polv * z + 8.33333333333333333333E-2; y = z * polv; } else { y = 0.0; } y = Math.log(s) - 0.5 / s - y - w; } if (negative == true) { y = y - nz; } return y; }
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Digamma function. @param x Value. @return Result.
[ "Digamma", "function", "." ]
0369ae674f9e664bccc5f9e161ae7e7a3b949a1e
https://github.com/Harium/keel/blob/0369ae674f9e664bccc5f9e161ae7e7a3b949a1e/src/main/java/com/harium/keel/catalano/math/function/Gamma.java#L291-L367
12,295
Harium/keel
src/main/java/com/harium/keel/catalano/math/function/Gamma.java
Gamma.ComplementedIncomplete
public static double ComplementedIncomplete(double a, double x) { final double big = 4.503599627370496e15; final double biginv = 2.22044604925031308085e-16; double ans, ax, c, yc, r, t, y, z; double pk, pkm1, pkm2, qk, qkm1, qkm2; if (x <= 0 || a <= 0) return 1.0; if (x < 1.0 || x < a) return 1.0 - Incomplete(a, x); ax = a * Math.log(x) - x - Log(a); if (ax < -Constants.LogMax) return 0.0; ax = Math.exp(ax); // continued fraction y = 1.0 - a; z = x + y + 1.0; c = 0.0; pkm2 = 1.0; qkm2 = x; pkm1 = x + 1.0; qkm1 = z * x; ans = pkm1 / qkm1; do { c += 1.0; y += 1.0; z += 2.0; yc = y * c; pk = pkm1 * z - pkm2 * yc; qk = qkm1 * z - qkm2 * yc; if (qk != 0) { r = pk / qk; t = Math.abs((ans - r) / r); ans = r; } else t = 1.0; pkm2 = pkm1; pkm1 = pk; qkm2 = qkm1; qkm1 = qk; if (Math.abs(pk) > big) { pkm2 *= biginv; pkm1 *= biginv; qkm2 *= biginv; qkm1 *= biginv; } } while (t > Constants.DoubleEpsilon); return ans * ax; }
java
public static double ComplementedIncomplete(double a, double x) { final double big = 4.503599627370496e15; final double biginv = 2.22044604925031308085e-16; double ans, ax, c, yc, r, t, y, z; double pk, pkm1, pkm2, qk, qkm1, qkm2; if (x <= 0 || a <= 0) return 1.0; if (x < 1.0 || x < a) return 1.0 - Incomplete(a, x); ax = a * Math.log(x) - x - Log(a); if (ax < -Constants.LogMax) return 0.0; ax = Math.exp(ax); // continued fraction y = 1.0 - a; z = x + y + 1.0; c = 0.0; pkm2 = 1.0; qkm2 = x; pkm1 = x + 1.0; qkm1 = z * x; ans = pkm1 / qkm1; do { c += 1.0; y += 1.0; z += 2.0; yc = y * c; pk = pkm1 * z - pkm2 * yc; qk = qkm1 * z - qkm2 * yc; if (qk != 0) { r = pk / qk; t = Math.abs((ans - r) / r); ans = r; } else t = 1.0; pkm2 = pkm1; pkm1 = pk; qkm2 = qkm1; qkm1 = qk; if (Math.abs(pk) > big) { pkm2 *= biginv; pkm1 *= biginv; qkm2 *= biginv; qkm1 *= biginv; } } while (t > Constants.DoubleEpsilon); return ans * ax; }
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Complemented incomplete gamma function. @param a Value. @param x Value. @return Result.
[ "Complemented", "incomplete", "gamma", "function", "." ]
0369ae674f9e664bccc5f9e161ae7e7a3b949a1e
https://github.com/Harium/keel/blob/0369ae674f9e664bccc5f9e161ae7e7a3b949a1e/src/main/java/com/harium/keel/catalano/math/function/Gamma.java#L376-L428
12,296
Harium/keel
src/main/java/com/harium/keel/catalano/math/function/Gamma.java
Gamma.Incomplete
public static double Incomplete(double a, double x) { double ans, ax, c, r; if (x <= 0 || a <= 0) return 0.0; if (x > 1.0 && x > a) return 1.0 - ComplementedIncomplete(a, x); ax = a * Math.log(x) - x - Log(a); if (ax < -Constants.LogMax) return (0.0); ax = Math.exp(ax); r = a; c = 1.0; ans = 1.0; do { r += 1.0; c *= x / r; ans += c; } while (c / ans > Constants.DoubleEpsilon); return (ans * ax / a); }
java
public static double Incomplete(double a, double x) { double ans, ax, c, r; if (x <= 0 || a <= 0) return 0.0; if (x > 1.0 && x > a) return 1.0 - ComplementedIncomplete(a, x); ax = a * Math.log(x) - x - Log(a); if (ax < -Constants.LogMax) return (0.0); ax = Math.exp(ax); r = a; c = 1.0; ans = 1.0; do { r += 1.0; c *= x / r; ans += c; } while (c / ans > Constants.DoubleEpsilon); return (ans * ax / a); }
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Incomplete gamma function. @param a Value. @param x Value. @return Result.
[ "Incomplete", "gamma", "function", "." ]
0369ae674f9e664bccc5f9e161ae7e7a3b949a1e
https://github.com/Harium/keel/blob/0369ae674f9e664bccc5f9e161ae7e7a3b949a1e/src/main/java/com/harium/keel/catalano/math/function/Gamma.java#L437-L460
12,297
Harium/keel
src/main/java/com/harium/keel/catalano/math/function/Gamma.java
Gamma.Log
public static double Log(double x) { double p, q, w, z; double[] A = { 8.11614167470508450300E-4, -5.95061904284301438324E-4, 7.93650340457716943945E-4, -2.77777777730099687205E-3, 8.33333333333331927722E-2 }; double[] B = { -1.37825152569120859100E3, -3.88016315134637840924E4, -3.31612992738871184744E5, -1.16237097492762307383E6, -1.72173700820839662146E6, -8.53555664245765465627E5 }; double[] C = { -3.51815701436523470549E2, -1.70642106651881159223E4, -2.20528590553854454839E5, -1.13933444367982507207E6, -2.53252307177582951285E6, -2.01889141433532773231E6 }; if (x < -34.0) { q = -x; w = Log(q); p = Math.floor(q); if (p == q) { try { throw new ArithmeticException("Overflow."); } catch (Exception e) { e.printStackTrace(); } } z = q - p; if (z > 0.5) { p += 1.0; z = p - q; } z = q * Math.sin(Math.PI * z); if (z == 0.0) { try { throw new ArithmeticException("Overflow."); } catch (Exception e) { e.printStackTrace(); } } z = Constants.LogPI - Math.log(z) - w; return z; } if (x < 13.0) { z = 1.0; while (x >= 3.0) { x -= 1.0; z *= x; } while (x < 2.0) { if (x == 0.0) { try { throw new ArithmeticException("Overflow."); } catch (Exception e) { e.printStackTrace(); } } z /= x; x += 1.0; } if (z < 0.0) z = -z; if (x == 2.0) return Math.log(z); x -= 2.0; p = x * Special.Polevl(x, B, 5) / Special.P1evl(x, C, 6); return (Math.log(z) + p); } if (x > 2.556348e305) { try { throw new ArithmeticException("Overflow."); } catch (Exception e) { e.printStackTrace(); } } q = (x - 0.5) * Math.log(x) - x + 0.91893853320467274178; if (x > 1.0e8) return (q); p = 1.0 / (x * x); if (x >= 1000.0) { q += ((7.9365079365079365079365e-4 * p - 2.7777777777777777777778e-3) * p + 0.0833333333333333333333) / x; } else { q += Special.Polevl(p, A, 4) / x; } return q; }
java
public static double Log(double x) { double p, q, w, z; double[] A = { 8.11614167470508450300E-4, -5.95061904284301438324E-4, 7.93650340457716943945E-4, -2.77777777730099687205E-3, 8.33333333333331927722E-2 }; double[] B = { -1.37825152569120859100E3, -3.88016315134637840924E4, -3.31612992738871184744E5, -1.16237097492762307383E6, -1.72173700820839662146E6, -8.53555664245765465627E5 }; double[] C = { -3.51815701436523470549E2, -1.70642106651881159223E4, -2.20528590553854454839E5, -1.13933444367982507207E6, -2.53252307177582951285E6, -2.01889141433532773231E6 }; if (x < -34.0) { q = -x; w = Log(q); p = Math.floor(q); if (p == q) { try { throw new ArithmeticException("Overflow."); } catch (Exception e) { e.printStackTrace(); } } z = q - p; if (z > 0.5) { p += 1.0; z = p - q; } z = q * Math.sin(Math.PI * z); if (z == 0.0) { try { throw new ArithmeticException("Overflow."); } catch (Exception e) { e.printStackTrace(); } } z = Constants.LogPI - Math.log(z) - w; return z; } if (x < 13.0) { z = 1.0; while (x >= 3.0) { x -= 1.0; z *= x; } while (x < 2.0) { if (x == 0.0) { try { throw new ArithmeticException("Overflow."); } catch (Exception e) { e.printStackTrace(); } } z /= x; x += 1.0; } if (z < 0.0) z = -z; if (x == 2.0) return Math.log(z); x -= 2.0; p = x * Special.Polevl(x, B, 5) / Special.P1evl(x, C, 6); return (Math.log(z) + p); } if (x > 2.556348e305) { try { throw new ArithmeticException("Overflow."); } catch (Exception e) { e.printStackTrace(); } } q = (x - 0.5) * Math.log(x) - x + 0.91893853320467274178; if (x > 1.0e8) return (q); p = 1.0 / (x * x); if (x >= 1000.0) { q += ((7.9365079365079365079365e-4 * p - 2.7777777777777777777778e-3) * p + 0.0833333333333333333333) / x; } else { q += Special.Polevl(p, A, 4) / x; } return q; }
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Natural logarithm of gamma function. @param x Value. @return Result.
[ "Natural", "logarithm", "of", "gamma", "function", "." ]
0369ae674f9e664bccc5f9e161ae7e7a3b949a1e
https://github.com/Harium/keel/blob/0369ae674f9e664bccc5f9e161ae7e7a3b949a1e/src/main/java/com/harium/keel/catalano/math/function/Gamma.java#L468-L578
12,298
Harium/keel
src/main/java/com/harium/keel/effect/CosineTransform.java
CosineTransform.Forward
public void Forward(ImageSource fastBitmap) { this.width = fastBitmap.getWidth(); this.height = fastBitmap.getHeight(); if (!isTransformed) { if (fastBitmap.isGrayscale()) { if (Tools.isPowerOf2(width) && Tools.isPowerOf2(height)) { data = new double[height][width]; for (int i = 0; i < height; i++) { for (int j = 0; j < width; j++) { data[i][j] = Tools.Scale(0, 255, 0, 1, fastBitmap.getRGB(i, j)); } } DiscreteCosineTransform.Forward(data); isTransformed = true; } else { try { throw new IllegalArgumentException("Image width and height should be power of 2."); } catch (Exception e) { e.printStackTrace(); } } } else { try { throw new IllegalArgumentException("Only grayscale images are supported."); } catch (Exception e) { e.printStackTrace(); } } } }
java
public void Forward(ImageSource fastBitmap) { this.width = fastBitmap.getWidth(); this.height = fastBitmap.getHeight(); if (!isTransformed) { if (fastBitmap.isGrayscale()) { if (Tools.isPowerOf2(width) && Tools.isPowerOf2(height)) { data = new double[height][width]; for (int i = 0; i < height; i++) { for (int j = 0; j < width; j++) { data[i][j] = Tools.Scale(0, 255, 0, 1, fastBitmap.getRGB(i, j)); } } DiscreteCosineTransform.Forward(data); isTransformed = true; } else { try { throw new IllegalArgumentException("Image width and height should be power of 2."); } catch (Exception e) { e.printStackTrace(); } } } else { try { throw new IllegalArgumentException("Only grayscale images are supported."); } catch (Exception e) { e.printStackTrace(); } } } }
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Applies forward Cosine transformation to an image. @param fastBitmap Image.
[ "Applies", "forward", "Cosine", "transformation", "to", "an", "image", "." ]
0369ae674f9e664bccc5f9e161ae7e7a3b949a1e
https://github.com/Harium/keel/blob/0369ae674f9e664bccc5f9e161ae7e7a3b949a1e/src/main/java/com/harium/keel/effect/CosineTransform.java#L78-L108
12,299
Harium/keel
src/main/java/com/harium/keel/effect/CosineTransform.java
CosineTransform.toFastBitmap
public ImageSource toFastBitmap() { OneBandSource l = new OneBandSource(width, height); PowerSpectrum(); double max = Math.log(PowerMax + 1.0); double scale = 1.0; if (scaleValue > 0) scale = scaleValue / max; for (int i = 0; i < height; i++) { for (int j = 0; j < width; j++) { double p = Power[i][j]; double plog = Math.log(p + 1.0); l.setRGB(i, j, (int) (plog * scale * 255)); } } return l; }
java
public ImageSource toFastBitmap() { OneBandSource l = new OneBandSource(width, height); PowerSpectrum(); double max = Math.log(PowerMax + 1.0); double scale = 1.0; if (scaleValue > 0) scale = scaleValue / max; for (int i = 0; i < height; i++) { for (int j = 0; j < width; j++) { double p = Power[i][j]; double plog = Math.log(p + 1.0); l.setRGB(i, j, (int) (plog * scale * 255)); } } return l; }
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Convert image's data to FastBitmap. @return FastBitmap.
[ "Convert", "image", "s", "data", "to", "FastBitmap", "." ]
0369ae674f9e664bccc5f9e161ae7e7a3b949a1e
https://github.com/Harium/keel/blob/0369ae674f9e664bccc5f9e161ae7e7a3b949a1e/src/main/java/com/harium/keel/effect/CosineTransform.java#L125-L142