listAllFamilyMembers() {\\n if (isFamilyMemberMapNullOrEmpty(familyMemberMap)) {\\n return new ArrayList<>();\\n }\\n return new ArrayList<>(familyMemberMap.values());\\n }\",\n \"public void checkFaces()\\n\\tthrows InconsistencyException\\n\\t{\\n\\t\\t// first check if faces is non-null\\n\\t\\tif(faces == null)\\n\\t\\t\\tthrow new InconsistencyException(\\\"The ArrayList faces should be non-null, but is null.\\\");\\n\\n\\t\\t// check that all vertices are referenced at least three times, as each is the vertex of at least one simplex\\n\\t\\t// and in each simplex three faces meet at each vertex;\\n\\t\\t// also check that all edges are referenced at least two times\\n\\t\\t\\n\\t\\t// create an array of ints that will hold the number of references to each vertex in the list of faces...\\n\\t\\tint[] vertexReferences = new int[vertices.size()];\\n\\t\\t// ... and one that will hold the number of references to each edge...\\n\\t\\tint[] edgeReferences = new int[edges.size()];\\n\\t\\t\\n\\t\\t// ... and set all these reference counts initially to zero\\n\\t\\tfor(int i=0; i<vertexReferences.length; i++) vertexReferences[i] = 0;\\n\\t\\tfor(int i=0; i<edgeReferences.length; i++) edgeReferences[i] = 0;\\n\\t\\t\\n\\t\\t// go through all faces...\\n\\t\\tfor(Face face:faces)\\n\\t\\t{\\n\\t\\t\\t// go through all three vertices...\\n\\t\\t\\tfor(int i=0; i<3; i++)\\n\\t\\t\\t\\t// ... and increase the reference count of the vertex by 1\\n\\t\\t\\t\\tvertexReferences[face.getVertexIndices()[i]]++;\\n\\t\\t\\t// note that any vertex indices that are out of bounds will throw up an error here!\\n\\n\\t\\t\\t// go through all three edges...\\n\\t\\t\\tfor(int i=0; i<3; i++)\\n\\t\\t\\t\\t// ... and increase the reference count of the edge by 1\\n\\t\\t\\t\\tedgeReferences[face.getEdgeIndices()[i]]++;\\n\\t\\t\\t// note that any vertex indices that are out of bounds will throw up an error here!\\n\\t\\t}\\n\\n\\t\\t// check that all vertex reference counts are >= 3\\n\\t\\tfor(int i=0; i<vertexReferences.length; i++)\\n\\t\\t{\\n\\t\\t\\tif(vertexReferences[i] < 3)\\n\\t\\t\\t{\\n\\t\\t\\t\\t// vertex i is referenced fewer than 3 times\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t// throw an InconsistencyException\\n\\t\\t\\t\\tthrow(new InconsistencyException(\\\"Vertex #\\\" + i + \\\" should be referenced in the list of faces >= 3 times, but is referenced only \\\" + vertexReferences[i] + \\\" times.\\\"));\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\t// check that all edge reference counts are >= 2\\n\\t\\tfor(int i=0; i<edgeReferences.length; i++)\\n\\t\\t{\\n\\t\\t\\tif(edgeReferences[i] < 2)\\n\\t\\t\\t{\\n\\t\\t\\t\\t// edge i is referenced fewer than 2 times\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t// throw an InconsistencyException\\n\\t\\t\\t\\tthrow(new InconsistencyException(\\\"Edge #\\\" + i + \\\" should be referenced in the list of faces >= 2 times, but is referenced only \\\" + edgeReferences[i] + \\\" times.\\\"));\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\",\n \"public ArrayList<Familymember> getMyFamilymembers() {\\n\\t\\treturn myFamilymembers;\\n\\t}\",\n \"public String getFace()\\r\\n {\\r\\n face = \\\"[\\\";\\r\\n if (color != \\\"none\\\")\\r\\n {\\r\\n face += this.color + \\\" \\\";\\r\\n }\\r\\n // Switch sttements to set diffrent faces \\r\\n switch(this.value)\\r\\n {\\r\\n default: face += String.valueOf(this.value); \\r\\n break;\\r\\n case 10: face += \\\"Skip\\\"; \\r\\n break;\\r\\n case 11: face += \\\"Reverse\\\"; \\r\\n break;\\r\\n case 12: face += \\\"Draw 2\\\"; \\r\\n break;\\r\\n case 13: face += \\\"Wild\\\"; \\r\\n break;\\r\\n case 14: face += \\\"Wild Draw 4\\\"; \\r\\n break;\\r\\n }\\r\\n face += \\\"]\\\";\\r\\n return face;\\r\\n }\",\n \"public Vector3f[] getFaceVertices(int faceNumber) {\\n\\n\\t\\tint segmentNumber = 0;\\n\\n\\t\\tint indexNumber = faceNumber;\\n\\n\\t\\t// debug.println(\\\"segmentNumber, indexNumber = \\\" + segmentNumber + \\\" \\\" +\\n\\t\\t// indexNumber);\\n\\n\\t\\twhile (indexNumber >= getIndexCountInSegment(segmentNumber)) {\\n\\t\\t\\tindexNumber -= getIndexCountInSegment(segmentNumber);\\n\\t\\t\\tsegmentNumber++;\\n\\t\\t}\\n\\n\\t\\t// debug.println(\\\"segmentNumber, indexNumber = \\\" + segmentNumber + \\\" \\\" +\\n\\t\\t// indexNumber);\\n\\n\\t\\tint[] vertindexes = getModelVerticeIndicesInSegment(segmentNumber, indexNumber);\\n\\n\\t\\t// parent.println(vertindexes);\\n\\n\\t\\tVector3f[] tmp = new Vector3f[vertindexes.length];\\n\\n\\t\\tfor (int i = 0; i < tmp.length; i++) {\\n\\t\\t\\ttmp[i] = new Vector3f();\\n\\t\\t\\ttmp[i].set(getModelVertice(vertindexes[i]));\\n\\t\\t}\\n\\n\\t\\treturn tmp;\\n\\t}\",\n \"@Override\\r\\n public void onSuccess(List<Face> faces) {\\n detectFaces(faces, mutableImage);\\r\\n hideProgress();\\r\\n bottom_sheet_recycler.getAdapter().notifyDataSetChanged();\\r\\n bottomSheetBehavior.setState(BottomSheetBehavior.STATE_EXPANDED);\\r\\n\\r\\n faceDetectionCameraView.stop();\\r\\n\\r\\n imageView.setVisibility(View.VISIBLE);\\r\\n imageView.setImageBitmap(mutableImage);\\r\\n }\",\n \"public Observable<ServiceResponse<FoundFacesInner>> findFacesWithServiceResponseAsync(Boolean cacheImage) {\\n if (this.client.baseUrl() == null) {\\n throw new IllegalArgumentException(\\\"Parameter this.client.baseUrl() is required and cannot be null.\\\");\\n }\\n String parameterizedHost = Joiner.on(\\\", \\\").join(\\\"{baseUrl}\\\", this.client.baseUrl());\\n return service.findFaces(cacheImage, this.client.acceptLanguage(), parameterizedHost, this.client.userAgent())\\n .flatMap(new Func1<Response<ResponseBody>, Observable<ServiceResponse<FoundFacesInner>>>() {\\n @Override\\n public Observable<ServiceResponse<FoundFacesInner>> call(Response<ResponseBody> response) {\\n try {\\n ServiceResponse<FoundFacesInner> clientResponse = findFacesDelegate(response);\\n return Observable.just(clientResponse);\\n } catch (Throwable t) {\\n return Observable.error(t);\\n }\\n }\\n });\\n }\",\n \"public ArrayList<String[]> getFavoritePairs() {\\n ArrayList<String[]> favPairs = new ArrayList<>();\\n for(Landmark landmark : landmarks.getFavorites()) {\\n favPairs.add(new String[]{landmark.getName(), landmark.getLocation().toString(), landmark.getDescription()});\\n }\\n return favPairs;\\n }\",\n \"public FaceRectangle faceRectangle() {\\n return this.faceRectangle;\\n }\",\n \"public ArrayList<FraisHF> getListFraisH() {\\n return listeFraisHf;\\n }\",\n \"public static BufferedImage detectFace(BufferedImage newPhoto) {\\n\\t\\tIplImage faceImage = IplImage.createFrom(newPhoto);\\n\\t\\tCvHaarClassifierCascade cascade = new CvHaarClassifierCascade(cvLoad(\\\"res/haarcascade_frontalface_default.xml\\\"));\\n\\t\\tCvMemStorage storage = CvMemStorage.create();\\n\\t\\tCvSeq sign = cvHaarDetectObjects(faceImage, cascade, storage, 1.1, 3, CV_HAAR_DO_CANNY_PRUNING);\\n\\t\\tcvClearMemStorage(storage);\\n\\t\\t\\n\\t\\t//if not faces detected, returns null.\\n\\t\\tif (sign.total() == 0){\\n\\t\\t\\tnewPhoto = null;\\n\\t\\t\\tSystem.out.println(\\\"No Face\\\");\\n\\t\\t}\\n\\t\\t\\n\\t\\telse {\\n\\t\\t\\tIplImage newImage; //IplImage used to temporarily hold the face\\n\\t\\t\\tint biggest = 0; //location of biggest face\\n\\t\\t\\tint biggestSize = 0; //height of biggest face\\n\\t\\t\\tCvRect r;\\n\\t\\t\\tfor (int i = 0; i < sign.total(); i++){\\n\\t\\t\\t\\tr = new CvRect(cvGetSeqElem(sign, i));\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tif (r.height() > biggestSize){\\n\\t\\t\\t\\t\\tbiggest = i;\\n\\t\\t\\t\\t\\tbiggestSize = r.height();\\n\\t\\t\\t\\t}\\n\\t\\n\\t\\t\\t}\\n\\t\\t\\tcvResetImageROI(faceImage);\\n\\t\\t\\tr = new CvRect(cvGetSeqElem(sign, biggest));\\n\\t\\t\\tcvSetImageROI(faceImage, r);\\n\\t\\t\\t//sets size of newImage to same as face\\n\\t\\t\\tnewImage = cvCreateImage(cvGetSize(faceImage), faceImage.depth(), faceImage.nChannels());\\n\\t\\t\\t//Copies the face into newImage\\n\\t\\t\\tcvCopy(faceImage, newImage);\\n\\t\\t\\tcvResetImageROI(faceImage);\\n\\t\\t\\t//Converts back to BufferedImage\\n\\t\\t\\tnewPhoto = newImage.getBufferedImage();\\n\\t\\t}\\n\\t\\t//If null = no faces detected\\n\\t\\treturn newPhoto;\\n\\t}\",\n \"public List<FacetRequest> facets() {\\n return this.facets;\\n }\",\n \"String[] getFamilyNames() {\\n\\t\\treturn this.familyMap.keySet().toArray(new String[this.familyMap.size()]);\\n\\t}\",\n \"@Override\\n protected Face[] doInBackground(InputStream... params) {\\n FaceServiceClient faceServiceClient = SampleApp.getFaceServiceClient();\\n try {\\n publishProgress(\\\"Detecting...\\\");\\n\\n // Start detection.\\n return faceServiceClient.detect(\\n params[0], /* Input stream of image to detect */\\n true, /* Whether to return face ID */\\n true, /* Whether to return face landmarks */\\n /* Which face attributes to analyze, currently we support:\\n age,gender,headPose,smile,facialHair */\\n new FaceServiceClient.FaceAttributeType[]{\\n FaceServiceClient.FaceAttributeType.Age,\\n FaceServiceClient.FaceAttributeType.Gender,\\n FaceServiceClient.FaceAttributeType.Smile,\\n FaceServiceClient.FaceAttributeType.Glasses,\\n FaceServiceClient.FaceAttributeType.FacialHair,\\n FaceServiceClient.FaceAttributeType.Emotion,\\n FaceServiceClient.FaceAttributeType.HeadPose,\\n FaceServiceClient.FaceAttributeType.Accessories,\\n FaceServiceClient.FaceAttributeType.Blur,\\n FaceServiceClient.FaceAttributeType.Exposure,\\n FaceServiceClient.FaceAttributeType.Hair,\\n FaceServiceClient.FaceAttributeType.Makeup,\\n FaceServiceClient.FaceAttributeType.Noise,\\n FaceServiceClient.FaceAttributeType.Occlusion\\n });\\n\\n\\n } catch (Exception e) {\\n mSucceed = false;\\n publishProgress(e.getMessage());\\n return null;\\n }\\n }\",\n \"java.util.List<org.landxml.schema.landXML11.FeatureDocument.Feature> getFeatureList();\",\n \"java.util.List<org.landxml.schema.landXML11.FeatureDocument.Feature> getFeatureList();\",\n \"public static ArrayList<String> getColorsDetected() {\\n return colorsDetected;\\n }\",\n \"@Override\\n protected Face[] doInBackground(InputStream... params) {\\n FaceServiceClient faceServiceClient = SampleApp.getFaceServiceClient();\\n try {\\n publishProgress(\\\"Detecting...\\\");\\n\\n // Start detection.\\n return faceServiceClient.detect(\\n params[0], /* Input stream of image to detect */\\n true, /* Whether to return face ID */\\n true, /* Whether to return face landmarks */\\n /* Which face attributes to analyze, currently we support:\\n age,gender,headPose,smile,facialHair */\\n new FaceServiceClient.FaceAttributeType[] {\\n FaceServiceClient.FaceAttributeType.Age,\\n FaceServiceClient.FaceAttributeType.Gender,\\n FaceServiceClient.FaceAttributeType.Smile,\\n FaceServiceClient.FaceAttributeType.Glasses,\\n FaceServiceClient.FaceAttributeType.FacialHair,\\n FaceServiceClient.FaceAttributeType.Emotion,\\n FaceServiceClient.FaceAttributeType.HeadPose,\\n FaceServiceClient.FaceAttributeType.Accessories,\\n FaceServiceClient.FaceAttributeType.Blur,\\n FaceServiceClient.FaceAttributeType.Exposure,\\n FaceServiceClient.FaceAttributeType.Hair,\\n FaceServiceClient.FaceAttributeType.Makeup,\\n FaceServiceClient.FaceAttributeType.Noise,\\n FaceServiceClient.FaceAttributeType.Occlusion\\n });\\n } catch (Exception e) {\\n mSucceed = false;\\n publishProgress(e.getMessage());\\n return null;\\n }\\n }\",\n \"List<IShape> getVisibleShapes();\",\n \"public void inferFacesFromEdges()\\n\\tthrows InconsistencyException\\n\\t{\\n\\t\\t// first empty the list of faces\\n\\t\\tif(faces == null)\\n\\t\\t\\tfaces = new ArrayList<Face>();\\n\\t\\telse\\n\\t\\t\\tfaces.clear();\\n\\n\\t\\t// go through all vertices\\n\\t\\tfor(int v=0; v<vertices.size(); v++)\\n\\t\\t{\\n\\t\\t\\t// first find all edges with vertex #v and other vertex #w, where w>v\\n\\t\\t\\t// (if w<v, then that face will already have been detected earlier)...\\n\\t\\t\\t\\n\\t\\t\\t// ... by creating an array that will hold the edge indices...\\n\\t\\t\\tArrayList<Integer> indicesOfEdgesAtVertex = new ArrayList<Integer>();\\n\\t\\t\\t\\n\\t\\t\\t// ... and populating it by going through all the edges\\n\\t\\t\\tfor(int e=0; e<edges.size(); e++)\\n\\t\\t\\t{\\n\\t\\t\\t\\t// does edge #e start or finish at vertex #v, and if so is the index of the other vertex >v?\\n\\t\\t\\t\\tif(edges.get(e).getOtherVertexIndex(v) > v)\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\t// yes\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t// add it to the list of edges that start or finish at this vertex\\n\\t\\t\\t\\t\\tindicesOfEdgesAtVertex.add(e);\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\t// System.out.println(\\\"SimplicialComplex::inferFacesFromEdges: indices of edges meeting at vertex #\\\"+v+\\\": \\\" + indicesOfEdgesAtVertex.toString());\\n\\t\\t\\t\\n\\t\\t\\t// second, go through all pairs of edges that start or finish at vertex #v;\\n\\t\\t\\t// each such pair represents two of the three edges of a face that meets at vertex #v\\n\\t\\t\\tfor(int e1=0; e1<indicesOfEdgesAtVertex.size(); e1++)\\n\\t\\t\\t\\tfor(int e2=e1+1; e2<indicesOfEdgesAtVertex.size(); e2++)\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\t// create an empty face\\n\\t\\t\\t\\t\\tFace face = new Face(this);\\n\\t\\t\\t\\t\\t\\n//\\t\\t\\t\\t\\tSystem.out.println(\\\"SimplicialComplex::inferFacesFromEdges: e1=\\\" + e1 + \\\", e2=\\\" + e2);\\n//\\t\\t\\t\\t\\tSystem.out.println(\\\"SimplicialComplex::inferFacesFromEdges: edges: \\\"+edges.get(indicesOfEdgesAtVertex.get(e1)) + \\\", \\\" + edges.get(indicesOfEdgesAtVertex.get(e2)));\\n//\\t\\t\\t\\t\\tSystem.out.println(\\\"SimplicialComplex::inferFacesFromEdges: other vertex indices: \\\"+edges.get(indicesOfEdgesAtVertex.get(e1)).getOtherVertexIndex(v) + \\\", \\\" + edges.get(indicesOfEdgesAtVertex.get(e2)).getOtherVertexIndex(v));\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t// set the face's vertex indices...\\n\\t\\t\\t\\t\\tface.setVertexIndices(v, edges.get(indicesOfEdgesAtVertex.get(e1)).getOtherVertexIndex(v), edges.get(indicesOfEdgesAtVertex.get(e2)).getOtherVertexIndex(v));\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t// ... and from these infer the edge indices\\n\\t\\t\\t\\t\\ttry {\\n\\t\\t\\t\\t\\t\\t// see if it is possible to infer the edges...\\n\\t\\t\\t\\t\\t\\tface.inferEdgeIndices();\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t// ... and if it is, add the face to the list of faces\\n\\t\\t\\t\\t\\t\\tfaces.add(face);\\n\\t\\t\\t\\t\\t} catch (InconsistencyException e) {}\\n\\t\\t\\t\\t}\\n\\t\\t}\\n\\t}\",\n \"List<Feature> getFeatures();\",\n \"public Set<Frage> getAlleFragen() {\\r\\n Set<Frage> result = new HashSet<Frage>();\\r\\n Set<FrageDTO> fragen = dataStore.getAlleFragen();\\r\\n for (FrageDTO dto : fragen) {\\r\\n int frageId = dto.getId();\\r\\n List<String> antworten = dataStore.getAntwortenById(frageId);\\r\\n List<Integer> votes = dataStore.getVotings(frageId);\\r\\n Frage frage = new Frage(dto.getId(), dto.getText(),\\r\\n dto.getStatus(), antworten, votes);\\r\\n result.add(frage);\\r\\n }\\r\\n return result;\\r\\n }\",\n \"public List<FrameFaceRects> getFaceRects(long startTime, long endTime) {\\n if(frameDataMap == null){\\n return Collections.emptyList();\\n }\\n List<FrameFaceRects> result = new ArrayList<>();\\n final int size = frameDataMap.size();\\n for (int i = 0; i < size ; i++) {\\n long key = CommonUtils.timeToFrame(frameDataMap.keyAt(i), TimeUnit.SECONDS);\\n if(key >= startTime && key <= endTime){\\n FrameFaceRects faceRects = frameDataMap.valueAt(i).getFaceRects();\\n if(faceRects != null) {\\n result.add(faceRects);\\n }\\n }\\n }\\n return result;\\n }\",\n \"public static String[] getFamilyNames() {\\n if (fonts == null) {\\n getAllFonts();\\n }\\n\\n return (String[]) families.toArray(new String[0]);\\n }\",\n \"@Override\\n public void onUpdate(FaceDetector.Detections<Face> detectionResults, Face face)\\n {\\n int facesFound = detectionResults.getDetectedItems().size();\\n\\n faceTrackingListener.onFaceDetected(facesFound);\\n }\",\n \"public Set<VCube> getSupportedCubes();\",\n \"public FriendList[] getFriendsLists();\",\n \"public List<FactoryArrayStorage<?>> getVertices() {\\n return mFactoryVertices;\\n }\",\n \"boolean hasFaceUp();\",\n \"@DISPID(1610940431) //= 0x6005000f. The runtime will prefer the VTID if present\\n @VTID(37)\\n Collection userSurfaces();\",\n \"public List<FacesMessage> getMessages() {\\n return FxJsfUtils.getMessages(null);\\n }\",\n \"public void startFaceDetection() {\\n /*\\n r6 = this;\\n r0 = r6.mFaceDetectionStarted;\\n if (r0 != 0) goto L_0x004a;\\n L_0x0004:\\n r0 = r6.mCameraDevice;\\n if (r0 == 0) goto L_0x004a;\\n L_0x0008:\\n r0 = r6.needFaceDetection();\\n if (r0 != 0) goto L_0x000f;\\n L_0x000e:\\n goto L_0x004a;\\n L_0x000f:\\n r0 = r6.mCameraCapabilities;\\n r0 = r0.getMaxNumOfFacesSupported();\\n if (r0 <= 0) goto L_0x0049;\\n L_0x0017:\\n r0 = 1;\\n r6.mFaceDetectionStarted = r0;\\n r1 = r6.mCameraDevice;\\n r2 = r6.mHandler;\\n r3 = r6.mUI;\\n r1.setFaceDetectionCallback(r2, r3);\\n r1 = r6.mUI;\\n r2 = r6.mDisplayOrientation;\\n r3 = r6.isCameraFrontFacing();\\n r4 = r6.mCameraId;\\n r4 = r6.cropRegionForZoom(r4);\\n r5 = 1065353216; // 0x3f800000 float:1.0 double:5.263544247E-315;\\n r1.onStartFaceDetection(r2, r3, r4, r5);\\n r1 = TAG;\\n r2 = \\\"startFaceDetection\\\";\\n com.hmdglobal.app.camera.debug.Log.w(r1, r2);\\n r1 = r6.mCameraDevice;\\n r1.startFaceDetection();\\n r1 = com.hmdglobal.app.camera.util.SessionStatsCollector.instance();\\n r1.faceScanActive(r0);\\n L_0x0049:\\n return;\\n L_0x004a:\\n return;\\n */\\n throw new UnsupportedOperationException(\\\"Method not decompiled: com.hmdglobal.app.camera.PhotoModule.startFaceDetection():void\\\");\\n }\",\n \"public Fence[] getAllFences() {\\n/* 622 */ Set<Fence> fenceSet = new HashSet<>();\\n/* 623 */ if (this.fences != null)\\n/* */ {\\n/* 625 */ for (Fence f : this.fences.values())\\n/* */ {\\n/* 627 */ fenceSet.add(f);\\n/* */ }\\n/* */ }\\n/* */ \\n/* 631 */ VolaTile eastTile = this.zone.getTileOrNull(this.tilex + 1, this.tiley);\\n/* 632 */ if (eastTile != null) {\\n/* */ \\n/* 634 */ Fence[] eastFences = eastTile.getFencesForDir(Tiles.TileBorderDirection.DIR_DOWN);\\n/* 635 */ for (int x = 0; x < eastFences.length; x++)\\n/* */ {\\n/* 637 */ fenceSet.add(eastFences[x]);\\n/* */ }\\n/* */ } \\n/* */ \\n/* 641 */ VolaTile southTile = this.zone.getTileOrNull(this.tilex, this.tiley + 1);\\n/* 642 */ if (southTile != null) {\\n/* */ \\n/* 644 */ Fence[] southFences = southTile.getFencesForDir(Tiles.TileBorderDirection.DIR_HORIZ);\\n/* 645 */ for (int x = 0; x < southFences.length; x++)\\n/* */ {\\n/* 647 */ fenceSet.add(southFences[x]);\\n/* */ }\\n/* */ } \\n/* */ \\n/* 651 */ if (fenceSet.size() == 0) {\\n/* 652 */ return emptyFences;\\n/* */ }\\n/* 654 */ return fenceSet.<Fence>toArray(new Fence[fenceSet.size()]);\\n/* */ }\",\n \"public void recognize(){\\n\\t String dirOfFace =\\\".\\\\\\\\Faces\\\";\\n\\t String dirOfTestFaces =\\\".\\\\\\\\TestFaces\\\";\\n\\t \\n\\t File root = new File(dirOfFace);\\n File Testfaces = new File(dirOfTestFaces);\\n FilenameFilter imgFilter = new FilenameFilter() {\\n\\n public boolean accept(File dir, String name) {\\n\\n name = name.toLowerCase();\\n\\n return name.endsWith(\\\".jpg\\\") || name.endsWith(\\\".pgm\\\") || name.endsWith(\\\".png\\\");\\n\\n }\\n\\n };\\n \\n File[] imageFiles = Testfaces.listFiles(imgFilter);\\n for (File image : imageFiles) {\\n Recognizer fd = new Recognizer();\\n int rollno=0;\\n rollno = fd.returnPredict(image,root);\\n System.out.println(rollno);\\n try {\\n db.AttendenceTable(rollno);\\n } catch (ClassNotFoundException ex) {\\n JOptionPane.showMessageDialog(null, ex);\\n }\\n }\\n\\n\\n }\",\n \"public ArrayList<String> loadFavorites() {\\n\\n\\t\\tSAVE_FILE = FAVORITE_FILE;\\n\\t\\tArrayList<String> list = new ArrayList<String>();\\n\\t\\tlist = loadIds();\\n\\t\\treturn list;\\n\\t}\",\n \"public java.util.List<V> getVertices();\",\n \"boolean getFaceDetectionPref();\",\n \"public interface FaceTrackingListener {\\n void onFaceLeftMove();\\n void onFaceRightMove();\\n void onFaceUpMove();\\n void onFaceDownMove();\\n void onGoodSmile();\\n void onEyeCloseError();\\n void onMouthOpenError();\\n void onMultipleFaceError();\\n\\n}\",\n \"public void FPrimeEvent(ArrayList<ArrayList<Shape>> faces) {\\r\\n \\tint u1 = CUBE7, l1 = CUBE9, r1 = CUBE1, b1 = CUBE3;\\r\\n \\tfor(int i = 0; i < 3; i++) {\\r\\n \\t\\tColor color = faces.get(TOP).get(u1).getColor();\\r\\n \\tfaces.get(TOP).get(u1).changeColor(faces.get(RIGHT).get(r1).getColor());\\r\\n \\tfaces.get(RIGHT).get(r1).changeColor(faces.get(BOTTOM).get(b1).getColor());\\r\\n \\tfaces.get(BOTTOM).get(b1).changeColor(faces.get(LEFT).get(l1).getColor());\\r\\n \\tfaces.get(LEFT).get(l1).changeColor(color);\\r\\n \\tu1++;\\r\\n \\tl1 -= SHIFT_ROW;\\r\\n \\tb1--;\\r\\n \\tr1 += SHIFT_ROW;\\r\\n \\t} \\r\\n \\r\\n \\tColor color = faces.get(FRONT).get(CUBE1).getColor();\\r\\n \\tfaces.get(FRONT).get(CUBE1).changeColor(faces.get(FRONT).get(CUBE3).getColor());\\r\\n \\tfaces.get(FRONT).get(CUBE3).changeColor(faces.get(FRONT).get(CUBE9).getColor());\\r\\n \\tfaces.get(FRONT).get(CUBE9).changeColor(faces.get(FRONT).get(CUBE7).getColor());\\r\\n \\tfaces.get(FRONT).get(CUBE7).changeColor(color);\\r\\n \\tcolor = faces.get(FRONT).get(CUBE2).getColor();\\r\\n \\tfaces.get(FRONT).get(CUBE2).changeColor(faces.get(FRONT).get(CUBE6).getColor());\\r\\n \\tfaces.get(FRONT).get(CUBE6).changeColor(faces.get(FRONT).get(CUBE8).getColor());\\r\\n \\tfaces.get(FRONT).get(CUBE8).changeColor(faces.get(FRONT).get(CUBE4).getColor());\\r\\n \\tfaces.get(FRONT).get(CUBE4).changeColor(color);\\r\\n }\",\n \"public FamilyInfo[] getFamilyInfo() {\\n return familyInfo;\\n }\",\n \"public ArrayList<Collidable> getNeighbors();\",\n \"public Figure[] getFigures() {\\n return figures;\\n }\",\n \"public static List<IEssence> getRegisteredEssences() {\\n ArrayList<IEssence> essences = new ArrayList();\\n MagicStaffs.ITEMS\\n .stream()\\n .filter(item -> item instanceof IEssence)\\n .forEach(item -> essences.add((IEssence) item));\\n return essences;\\n }\",\n \"public boolean needFaceDetection() {\\n return true;\\n }\",\n \"java.util.List<message.Figure.FigureData.FigureBase> \\n getFigureListList();\",\n \"public static ArrayList<FamilyType> getAvailableFamilies() {\\n ArrayList<FamilyType> allFamilies = new ArrayList<FamilyType>();\\n File dir = new File(getRapidSmithPath() + File.separator + \\\"devices\\\");\\n if (!dir.exists()) {\\n MessageGenerator.briefErrorAndExit(\\\"ERROR: No part files exist. Please run \\\" +\\n Installer.class.getCanonicalName() + \\\" to create part files.\\\");\\n }\\n for (String partFamily : dir.list()) {\\n FamilyType type = PartNameTools.getFamilyTypeFromFamilyName(partFamily);\\n if (type != null) allFamilies.add(type);\\n }\\n\\n return allFamilies;\\n }\",\n \"java.util.List<uk.ac.cam.acr31.features.javac.proto.GraphProtos.FeatureEdge> \\n getEdgeList();\",\n \"protected abstract void setFaces();\",\n \"public java.util.List<org.landxml.schema.landXML11.FeatureDocument.Feature> getFeatureList()\\r\\n {\\r\\n final class FeatureList extends java.util.AbstractList<org.landxml.schema.landXML11.FeatureDocument.Feature>\\r\\n {\\r\\n public org.landxml.schema.landXML11.FeatureDocument.Feature get(int i)\\r\\n { return IntersectionImpl.this.getFeatureArray(i); }\\r\\n \\r\\n public org.landxml.schema.landXML11.FeatureDocument.Feature set(int i, org.landxml.schema.landXML11.FeatureDocument.Feature o)\\r\\n {\\r\\n org.landxml.schema.landXML11.FeatureDocument.Feature old = IntersectionImpl.this.getFeatureArray(i);\\r\\n IntersectionImpl.this.setFeatureArray(i, o);\\r\\n return old;\\r\\n }\\r\\n \\r\\n public void add(int i, org.landxml.schema.landXML11.FeatureDocument.Feature o)\\r\\n { IntersectionImpl.this.insertNewFeature(i).set(o); }\\r\\n \\r\\n public org.landxml.schema.landXML11.FeatureDocument.Feature remove(int i)\\r\\n {\\r\\n org.landxml.schema.landXML11.FeatureDocument.Feature old = IntersectionImpl.this.getFeatureArray(i);\\r\\n IntersectionImpl.this.removeFeature(i);\\r\\n return old;\\r\\n }\\r\\n \\r\\n public int size()\\r\\n { return IntersectionImpl.this.sizeOfFeatureArray(); }\\r\\n \\r\\n }\\r\\n \\r\\n synchronized (monitor())\\r\\n {\\r\\n check_orphaned();\\r\\n return new FeatureList();\\r\\n }\\r\\n }\",\n \"public void startFaceDetection() {\\n /*\\n r4 = this;\\n r0 = r4.mFaceDetectionStarted;\\n if (r0 != 0) goto L_0x0036;\\n L_0x0004:\\n r0 = r4.mCameraDevice;\\n if (r0 == 0) goto L_0x0036;\\n L_0x0008:\\n r0 = r4.needFaceDetection();\\n if (r0 != 0) goto L_0x000f;\\n L_0x000e:\\n goto L_0x0036;\\n L_0x000f:\\n r0 = r4.mCameraCapabilities;\\n r0 = r0.getMaxNumOfFacesSupported();\\n if (r0 <= 0) goto L_0x0035;\\n L_0x0017:\\n r0 = 1;\\n r4.mFaceDetectionStarted = r0;\\n r1 = TAG;\\n r2 = \\\"startFaceDetection\\\";\\n com.hmdglobal.app.camera.debug.Log.w(r1, r2);\\n r1 = r4.mCameraDevice;\\n r2 = r4.mHandler;\\n r3 = 0;\\n r1.setFaceDetectionCallback(r2, r3);\\n r1 = r4.mCameraDevice;\\n r1.startFaceDetection();\\n r1 = com.hmdglobal.app.camera.util.SessionStatsCollector.instance();\\n r1.faceScanActive(r0);\\n L_0x0035:\\n return;\\n L_0x0036:\\n return;\\n */\\n throw new UnsupportedOperationException(\\\"Method not decompiled: com.hmdglobal.app.camera.VideoModule.startFaceDetection():void\\\");\\n }\",\n \"public Fence[] getFencesForDir(Tiles.TileBorderDirection dir) {\\n/* 713 */ if (this.fences != null) {\\n/* */ \\n/* 715 */ Set<Fence> fenceSet = new HashSet<>();\\n/* 716 */ for (Fence f : this.fences.values()) {\\n/* */ \\n/* 718 */ if (f.getDir() == dir)\\n/* 719 */ fenceSet.add(f); \\n/* */ } \\n/* 721 */ return fenceSet.<Fence>toArray(new Fence[fenceSet.size()]);\\n/* */ } \\n/* */ \\n/* 724 */ return emptyFences;\\n/* */ }\",\n \"public List<EnumerationValue> getGenders()\\r\\n\\t{\\r\\n\\t\\treturn getGenders( getSession().getSessionContext() );\\r\\n\\t}\",\n \"public RubiksFace getRubiksFace(RubiksFace.RubiksFacePosition position) {\\n for (RubiksFace face : rubiksFaceList) {\\n if (face.getFacePosition() == position) {\\n return face;\\n }\\n }\\n\\n return null;\\n }\",\n \"public int getFaceValue ()\\n {\\n return faceValue;\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7671218","0.74343956","0.71101314","0.691482","0.69146","0.62822634","0.6271086","0.6183204","0.6173539","0.59023684","0.5782556","0.5730131","0.5664912","0.56492686","0.5503748","0.5503748","0.5493492","0.54722375","0.5456128","0.5450902","0.544514","0.54380745","0.542457","0.53716654","0.5351666","0.5326719","0.53265595","0.5308396","0.5303193","0.5295572","0.5295094","0.5272228","0.5265717","0.5262931","0.5261844","0.5257992","0.5237957","0.52317333","0.5228677","0.5219602","0.52112395","0.51959306","0.51934713","0.51800495","0.5178952","0.51443094","0.51396716","0.51318103","0.5127423","0.5121473","0.5099383","0.50975674","0.50803834","0.50186664","0.5003959","0.49900812","0.49661115","0.49379647","0.49350825","0.49341998","0.49160892","0.49130994","0.49130994","0.48947468","0.48935443","0.48619336","0.48612344","0.4857237","0.48491156","0.48386344","0.48324826","0.48275903","0.4820903","0.48185924","0.4817562","0.48174706","0.4770805","0.47672883","0.47659874","0.4759456","0.4751915","0.47493252","0.47398522","0.47365126","0.47356418","0.4733061","0.4730482","0.47186825","0.47163165","0.47141817","0.47089583","0.47069725","0.47067052","0.47004554","0.4698661","0.4696508","0.46929026","0.4681642","0.4675755","0.46745446","0.46661794"],"string":"[\n \"0.7671218\",\n \"0.74343956\",\n \"0.71101314\",\n \"0.691482\",\n \"0.69146\",\n \"0.62822634\",\n \"0.6271086\",\n \"0.6183204\",\n \"0.6173539\",\n \"0.59023684\",\n \"0.5782556\",\n \"0.5730131\",\n \"0.5664912\",\n \"0.56492686\",\n \"0.5503748\",\n \"0.5503748\",\n \"0.5493492\",\n \"0.54722375\",\n \"0.5456128\",\n \"0.5450902\",\n \"0.544514\",\n \"0.54380745\",\n \"0.542457\",\n \"0.53716654\",\n \"0.5351666\",\n \"0.5326719\",\n \"0.53265595\",\n \"0.5308396\",\n \"0.5303193\",\n \"0.5295572\",\n \"0.5295094\",\n \"0.5272228\",\n \"0.5265717\",\n \"0.5262931\",\n \"0.5261844\",\n \"0.5257992\",\n \"0.5237957\",\n \"0.52317333\",\n \"0.5228677\",\n \"0.5219602\",\n \"0.52112395\",\n \"0.51959306\",\n \"0.51934713\",\n \"0.51800495\",\n \"0.5178952\",\n \"0.51443094\",\n \"0.51396716\",\n \"0.51318103\",\n \"0.5127423\",\n \"0.5121473\",\n \"0.5099383\",\n \"0.50975674\",\n \"0.50803834\",\n \"0.50186664\",\n \"0.5003959\",\n \"0.49900812\",\n \"0.49661115\",\n \"0.49379647\",\n \"0.49350825\",\n \"0.49341998\",\n \"0.49160892\",\n \"0.49130994\",\n \"0.49130994\",\n \"0.48947468\",\n \"0.48935443\",\n \"0.48619336\",\n \"0.48612344\",\n \"0.4857237\",\n \"0.48491156\",\n \"0.48386344\",\n \"0.48324826\",\n \"0.48275903\",\n \"0.4820903\",\n \"0.48185924\",\n \"0.4817562\",\n \"0.48174706\",\n \"0.4770805\",\n \"0.47672883\",\n \"0.47659874\",\n \"0.4759456\",\n \"0.4751915\",\n \"0.47493252\",\n \"0.47398522\",\n \"0.47365126\",\n \"0.47356418\",\n \"0.4733061\",\n \"0.4730482\",\n \"0.47186825\",\n \"0.47163165\",\n \"0.47141817\",\n \"0.47089583\",\n \"0.47069725\",\n \"0.47067052\",\n \"0.47004554\",\n \"0.4698661\",\n \"0.4696508\",\n \"0.46929026\",\n \"0.4681642\",\n \"0.4675755\",\n \"0.46745446\",\n \"0.46661794\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":12397,"cells":{"query":{"kind":"string","value":"Returns the list of faces found."},"document":{"kind":"string","value":"public Observable<FoundFacesInner> findFacesUrlInputAsync(String contentType, BodyModelInner imageUrl, Boolean cacheImage) {\n return findFacesUrlInputWithServiceResponseAsync(contentType, imageUrl, cacheImage).map(new Func1<ServiceResponse<FoundFacesInner>, FoundFacesInner>() {\n @Override\n public FoundFacesInner call(ServiceResponse<FoundFacesInner> response) {\n return response.body();\n }\n });\n }"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["public Face[] getFaces() {\n return faces;\n }","static FaceSegment[] allFaces() {\n FaceSegment[] faces = new FaceSegment[6];\n for (int i = 0; i < faces.length; i++) {\n faces[i] = new FaceSegment();\n }\n return faces;\n }","public int[][] getFaces() {\n\t\treturn this.faces;\n\t}","public int faces() { \n return this.faces; \n }","public int getFaces() {\n return this.faces;\n }","public Rect[] getFaceRects()\n {\n final String funcName = \"getFaceRects\";\n\n if (debugEnabled)\n {\n dbgTrace.traceEnter(funcName, TrcDbgTrace.TraceLevel.API);\n dbgTrace.traceExit(funcName, TrcDbgTrace.TraceLevel.API);\n }\n\n return faceRects;\n }","public Observable<FoundFacesInner> findFacesAsync() {\n return findFacesWithServiceResponseAsync().map(new Func1<ServiceResponse<FoundFacesInner>, FoundFacesInner>() {\n @Override\n public FoundFacesInner call(ServiceResponse<FoundFacesInner> response) {\n return response.body();\n }\n });\n }","public int[] getFace() {\n\t\treturn this.face;\n\t}","public Observable<ServiceResponse<FoundFacesInner>> findFacesWithServiceResponseAsync() {\n if (this.client.baseUrl() == null) {\n throw new IllegalArgumentException(\"Parameter this.client.baseUrl() is required and cannot be null.\");\n }\n final Boolean cacheImage = null;\n String parameterizedHost = Joiner.on(\", \").join(\"{baseUrl}\", this.client.baseUrl());\n return service.findFaces(cacheImage, this.client.acceptLanguage(), parameterizedHost, this.client.userAgent())\n .flatMap(new Func1<Response<ResponseBody>, Observable<ServiceResponse<FoundFacesInner>>>() {\n @Override\n public Observable<ServiceResponse<FoundFacesInner>> call(Response<ResponseBody> response) {\n try {\n ServiceResponse<FoundFacesInner> clientResponse = findFacesDelegate(response);\n return Observable.just(clientResponse);\n } catch (Throwable t) {\n return Observable.error(t);\n }\n }\n });\n }","java.util.List getSurfaceRefs();","public int getFaceCount() {\r\n return faceCount;\r\n\t}","private Face chooseFace(ArrayList<Face> faces) {\n return faces.get(0);\n }","public ArrayList<Integer> getOutsideFaceIndices()\n\t{\n\t\t// now collect the indices of all faces that are referenced only once, i.e. the outside faces\n\t\tArrayList<Integer> outsideFaceIndices = new ArrayList<Integer>();\n\t\tfor(int i=0; i<faces.size(); i++)\n\t\t\t// is there exactly one reference to the face with index i?\n\t\t\tif(getFace(i).getNoOfFacesToOutside() == 0)\n\t\t\t\t// yes; add i to the list of outside-face indices\n\t\t\t\toutsideFaceIndices.add(i);\n\t\t\n\t\t// return the list of outside-face indices\n\t\treturn outsideFaceIndices;\n\t}","public int getFaceCount() {\n\t\tint count = 0;\n\n\t\tfor (int i = 0; i < getSegmentCount(); i++) {\n\t\t\tcount += getIndexCountInSegment(i);\n\t\t}\n\n\t\treturn count;\n\t}","public String getFace() {\r\n return face;\r\n }","public String getFace() {\r\n return face;\r\n }","public interface FaceFinder {\n\n public CvFace[] detectFace(Bitmap bitmap);\n\n}","private List<Vertice> pegaVerticesFolha() {\n List<Vertice> verticesFolha = new ArrayList<Vertice>();\n\n for (Vertice vertice : this.pegaTodosOsVerticesDoGrafo()) {\n if (this.getGrauDeSaida(vertice) == 0) {\n verticesFolha.add(vertice);\n }\n }\n\n return verticesFolha;\n }","public ArrayList< Card > getCheat() {\r\n ArrayList< Card > faces = new ArrayList<>();\r\n\r\n for ( Card card : cards ) {\r\n Card copy = new Card( card );\r\n copy.setFaceUp();\r\n faces.add( copy );\r\n }\r\n return faces;\r\n }","public FaceLandmarks faceLandmarks() {\n return this.faceLandmarks;\n }","private List<Bitmap> processFaceResult(List<FirebaseVisionFace> faces, FirebaseVisionImage image, boolean keepOriginal) {\n final int FACE_IMG_WIDTH = 160;\n final int FACE_IMG_HEIGHT = 160;\n\n List<Bitmap> facesInFrame = new ArrayList<>();\n for (FirebaseVisionFace face : faces) {\n Rect bounds = face.getBoundingBox();\n Bitmap bitmap = cropBitmap(image.getBitmap(), bounds);\n if(keepOriginal == false) {\n bitmap = Bitmap.createScaledBitmap(bitmap, FACE_IMG_WIDTH, FACE_IMG_HEIGHT, true);\n }\n facesInFrame.add(bitmap);\n\n }\n return facesInFrame;\n }","public String getFace() {\n\t\treturn face;\n\t}","public Face getFaceVitoriosa() {\n return faceVitoriosa;\n }","public int getFace() {\n\t\treturn face;\n\t}","private void faceDetection(){\n\n String haarPath = resToFile(R.raw.haarcascade_frontalface_default, \"haarcascade_frontalface_default.xml\");\n String testPicPath = resToFile(R.drawable.test_me, \"test_me.jpg\");\n\n CascadeClassifier faceDetector = new CascadeClassifier();\n Mat image = imread(testPicPath);\n boolean isEmpty = image.empty();\n\n faceDetector = new CascadeClassifier(haarPath);\n if(faceDetector.empty())\n {\n Log.v(\"MyActivity\",\"--(!)Error loading A\\n\");\n return;\n }\n else\n {\n Log.v(\"MyActivity\", \"Loaded cascade classifier from \" + haarPath);\n }\n\n //My Code\n MatOfRect faceDetections = new MatOfRect();\n faceDetector.detectMultiScale(image, faceDetections);\n\n System.out.println(String.format(\"Detected %s faces\", faceDetections.toArray().length));\n\n for (Rect rect : faceDetections.toArray()) {\n Imgproc.rectangle(image, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height),\n new Scalar(0, 255, 0));\n// Core.rectangle(image, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height),\n// new Scalar(0, 255, 0));\n }\n\n Bitmap bm = Bitmap.createBitmap(image.cols(), image.rows(), Bitmap.Config.ARGB_8888);\n Utils.matToBitmap(image, bm);\n\n ImageView imageView = (ImageView) findViewById(R.id.imageView);\n imageView.setImageBitmap(bm);\n }","public static String detectFacesGcs(String gcsPath) throws IOException {\n \tSystem.out.println(\"Enter Face detection\");\n List<AnnotateImageRequest> requests = new ArrayList<AnnotateImageRequest>();\n StringBuilder sb = new StringBuilder();\n ImageSource imgSource = ImageSource.newBuilder().setGcsImageUri(gcsPath).build();\n Image img = Image.newBuilder().setSource(imgSource).build();\n Feature feat = Feature.newBuilder().setType(Feature.Type.FACE_DETECTION).build();\n \n AnnotateImageRequest request =\n AnnotateImageRequest.newBuilder().addFeatures(feat).setImage(img).build();\n requests.add(request);\n try (ImageAnnotatorClient client = ImageAnnotatorClient.create()) {\n \t\tSystem.out.println(\" Face detection request sent\");\n BatchAnnotateImagesResponse response = client.batchAnnotateImages(requests);\n List<AnnotateImageResponse> responses = response.getResponsesList();\n System.out.println(\" Face detection response recieved\");\n for (AnnotateImageResponse res : responses) {\n if (res.hasError()) {\n System.out.format(\"Error: %s%n\", res.getError().getMessage());\n return \"\";\n }\n sb.append(\"{\");\n for (FaceAnnotation annotation : res.getFaceAnnotationsList()) {\n \t sb.append(\"\\\"anger\\\":\");sb.append('\"');\n \t sb.append(annotation.getAngerLikelihood().toString());\n \t sb.append('\"');sb.append(\",\");sb.append(\"\\\"joy\\\":\"); sb.append('\"');\n \t sb.append( annotation.getJoyLikelihood().toString());\n \t sb.append('\"'); sb.append(\",\");sb.append(\"\\\"suprise\\\":\");sb.append('\"');\n \t sb.append(annotation.getSurpriseLikelihood().toString());\n \t sb.append('\"');\n }\n sb.append(\"}\");}}return sb.toString();}","static Bitmap detectfaces(Context context, Bitmap bitmap){\n Timber.d(\" timber start building DETECTOR\");\n FaceDetector detector=new FaceDetector.Builder(context)\n .setTrackingEnabled(false)\n .setClassificationType(FaceDetector.ALL_CLASSIFICATIONS)\n .build();\n// detector.setProcessor(\n// new MultiProcessor.Builder<>(new GraphicFaceTrackerFactory())\n// .build());\n Timber.d(\" timber END building DETECTOR\");\n Bitmap resultBitmap = bitmap;\n if(detector.isOperational()) {\n Frame frame = new Frame.Builder().setBitmap(bitmap).build();\n Timber.d(\" timber START DETECTING FACES DETECTOR\");\n SparseArray<Face> faces = detector.detect(frame);\n Timber.d(\" timber END DETECTING FACES DETECTOR\");\n\n\n Timber.d(\"size of faces\" + faces.size());\n // Toast.makeText(context,\"number of faces detected = \"+faces.size(),Toast.LENGTH_LONG).show();\n if (faces.size() == 0) {\n Toast.makeText(context, \"No faces detected\", Toast.LENGTH_SHORT).show();\n } else {\n for (int i = 0; i < faces.size(); i++) {\n Face face = faces.valueAt(i);\n // getProbability(face);\n Emoji emo = whichEmoji(face);\n Bitmap emojibitmap;\n switch (emo) {\n case SMILE:\n emojibitmap = BitmapFactory.decodeResource(context.getResources(), R.drawable.smile);\n break;\n\n case RIGHT_WINK:\n emojibitmap = BitmapFactory.decodeResource(context.getResources(), R.drawable.rightwink);\n break;\n\n case LEFT_WINK:\n emojibitmap = BitmapFactory.decodeResource(context.getResources(), R.drawable.leftwink);\n break;\n\n case CLOSED_EYE_SMILE:\n emojibitmap = BitmapFactory.decodeResource(context.getResources(), R.drawable.closed_smile);\n break;\n\n case FROWN:\n emojibitmap = BitmapFactory.decodeResource(context.getResources(), R.drawable.frown);\n break;\n\n case LEFT_WINK_FROWN:\n emojibitmap = BitmapFactory.decodeResource(context.getResources(), R.drawable.leftwinkfrown);\n break;\n\n case RIGHT_WINK_FROWN:\n emojibitmap = BitmapFactory.decodeResource(context.getResources(), R.drawable.rightwinkfrown);\n break;\n\n case CLOSED_EYE_FROWN:\n emojibitmap = BitmapFactory.decodeResource(context.getResources(), R.drawable.closed_frown);\n break;\n default:\n emojibitmap = null;\n Toast.makeText(context, R.string.no_emoji, Toast.LENGTH_LONG).show();\n }\n\n resultBitmap = addBitmapToFace(resultBitmap, emojibitmap, face);\n }\n }\n }else{\n Toast.makeText(context,\"detector failed\",Toast.LENGTH_SHORT).show();\n }\n detector.release();\n return resultBitmap;\n }","public static @NonNull List<TypeFamily> getAvailableFamilies() {\n Map<String, List<Typeface>> familyMap = new TreeMap<>(String.CASE_INSENSITIVE_ORDER);\n\n synchronized (TypefaceManager.class) {\n sortTypefaces();\n\n for (Typeface typeface : typefaces) {\n List<Typeface> entryList = familyMap.get(typeface.getFamilyName());\n if (entryList == null) {\n entryList = new ArrayList<>();\n familyMap.put(typeface.getFamilyName(), entryList);\n }\n\n entryList.add(typeface);\n }\n }\n\n List<TypeFamily> familyList = new ArrayList<>(familyMap.size());\n\n for (Map.Entry<String, List<Typeface>> entry : familyMap.entrySet()) {\n String familyName = entry.getKey();\n List<Typeface> typefaces = entry.getValue();\n\n familyList.add(new TypeFamily(familyName, typefaces));\n }\n\n return Collections.unmodifiableList(familyList);\n }","public ArrayList<DetectInfo> getAllDetects(){\n return orderedLandingPads;\n }","public ArrayList<Furniture> getFoundFurniture(){\n return foundFurniture;\n }","private static List<ImgDescriptor> getDescriptors(Mat[] faces, String name) {\n \tList<ImgDescriptor> ret = new ArrayList<ImgDescriptor>();\n\t\tfor(int i = 0; i < faces.length; i++){\n \t\t// define a copy of the image in order to prevent extract method to modify the original properties\n \t\tMat tmpImg = new Mat(faces[i]);\n \t\tString id = i + \"_\" + name;\n \t\tfloat[] features = extractor.extract(tmpImg, ExtractionParameters.DEEP_LAYER);\n \t\tImgDescriptor tmp = new ImgDescriptor(features, id);\n \t\tret.add(tmp);\n \t\tSystem.out.println(\"Extracting features for \" + id);\n \t}\n\t\t\n\t\treturn ret;\n\t}","boolean allFacesPainted() {\n\n\n for (int i = 0; i < s; i ++){\n if (the_cube[i] == false){\n return false;\n\n }\n }\n return true;\n }","public interface FaceInterface {\n List<PointF> getFacePoints();\n\n List<PointF> getLeftEyePoints();\n\n List<PointF> getRightEyePoints();\n\n public List<PointF> transformPoints(DrawingViewConfig config, boolean mirrorPoints);\n\n public RectF getEyesRect();\n public Emotions getEmotions();\n Emojis getEmojis();\n Appearance getAppearance();\n}","public static void detectFaces(File file) throws Exception, IOException {\r\n\t\t List<AnnotateImageRequest> requests = new ArrayList<>();\r\n System.out.println(file.getPath());\r\n\r\n \r\n //convert picture file into original ByteString object and set values to request for google vision API\r\n\t\t ByteString imgBytes = ByteString.readFrom(new FileInputStream(file));\r\n\r\n\t\t Image img = Image.newBuilder().setContent(imgBytes).build();\r\n\t\t Feature feat = Feature.newBuilder().setType(Type.FACE_DETECTION).build();\r\n\t\t AnnotateImageRequest request =\r\n\t\t AnnotateImageRequest.newBuilder().addFeatures(feat).setImage(img).build();\r\n\t\t requests.add(request);\r\n\r\n //call google vision API engine and returns annotations of the image\r\n\t\t try (ImageAnnotatorClient client = ImageAnnotatorClient.create()) {\r\n\t\t BatchAnnotateImagesResponse response = client.batchAnnotateImages(requests);\r\n\t\t List<AnnotateImageResponse> responses = response.getResponsesList();\r\n\r\n\t\t for (AnnotateImageResponse res : responses) {\r\n\t\t if (res.hasError()) {\r\n\t\t System.out.printf(\"Error: %s\\n\", res.getError().getMessage());\r\n\t\t return;\r\n\t\t }\r\n\r\n\t\t // retrieve annotation value of each emotion\r\n\t\t for (FaceAnnotation annotation : res.getFaceAnnotationsList()) {\r\n\t\t int[] emoValue = {annotation.getAngerLikelihoodValue(),\r\n annotation.getJoyLikelihoodValue(),\r\n annotation.getSorrowLikelihoodValue(),\r\n annotation.getSurpriseLikelihoodValue(),\r\n };\r\n \r\n //choose highest annotation value of each emotion\r\n int max = 0;\r\n for (int i = 0; i < emoValue.length; i++){\r\n System.out.print(emoValue[i] + \" \");\r\n if (max < emoValue[i]){\r\n max = emoValue[i];\r\n index = i;\r\n }\r\n }\r\n //if all of emotion likelihood balue = 1, no expression\r\n if (max == 1){index = emotion.length-1;}\r\n System.out.println();\r\n System.out.println(emotion[index]);\r\n }\r\n\r\n\t\t }\r\n \r\n\t\t }catch (Exception e){\r\n System.out.println(e);\r\n }\r\n\r\n\t\t}","protected int getFace() {\n return face;\n }","public Fence[] getFences() {\n/* 601 */ if (this.fences != null)\n/* 602 */ return (Fence[])this.fences.values().toArray((Object[])new Fence[this.fences.size()]); \n/* 603 */ return emptyFences;\n/* */ }","public List<Facet> facets() {\n return this.facets;\n }","public Observable<FoundFacesInner> findFacesAsync(Boolean cacheImage) {\n return findFacesWithServiceResponseAsync(cacheImage).map(new Func1<ServiceResponse<FoundFacesInner>, FoundFacesInner>() {\n @Override\n public FoundFacesInner call(ServiceResponse<FoundFacesInner> response) {\n return response.body();\n }\n });\n }","public int getFace(){\n return face;\n }","public static @NonNull List<Typeface> getAvailableTypefaces() {\n synchronized (TypefaceManager.class) {\n sortTypefaces();\n\n return Collections.unmodifiableList(new ArrayList<>(typefaces));\n }\n }","public java.util.List<org.landxml.schema.landXML11.FeatureDocument.Feature> getFeatureList()\r\n {\r\n final class FeatureList extends java.util.AbstractList<org.landxml.schema.landXML11.FeatureDocument.Feature>\r\n {\r\n public org.landxml.schema.landXML11.FeatureDocument.Feature get(int i)\r\n { return SurfaceImpl.this.getFeatureArray(i); }\r\n \r\n public org.landxml.schema.landXML11.FeatureDocument.Feature set(int i, org.landxml.schema.landXML11.FeatureDocument.Feature o)\r\n {\r\n org.landxml.schema.landXML11.FeatureDocument.Feature old = SurfaceImpl.this.getFeatureArray(i);\r\n SurfaceImpl.this.setFeatureArray(i, o);\r\n return old;\r\n }\r\n \r\n public void add(int i, org.landxml.schema.landXML11.FeatureDocument.Feature o)\r\n { SurfaceImpl.this.insertNewFeature(i).set(o); }\r\n \r\n public org.landxml.schema.landXML11.FeatureDocument.Feature remove(int i)\r\n {\r\n org.landxml.schema.landXML11.FeatureDocument.Feature old = SurfaceImpl.this.getFeatureArray(i);\r\n SurfaceImpl.this.removeFeature(i);\r\n return old;\r\n }\r\n \r\n public int size()\r\n { return SurfaceImpl.this.sizeOfFeatureArray(); }\r\n \r\n }\r\n \r\n synchronized (monitor())\r\n {\r\n check_orphaned();\r\n return new FeatureList();\r\n }\r\n }","public final Face getFace() {\n\t\treturn this.face;\n\t}","List<IFeature> getFeatureList();","private ArrayList<Integer> getOutsideFaceIndicesBeforeAllInfoHasBeenInferred()\n\t{\n\t\t// go through all the simplices and count how often each face is referenced;\n\t\t// inside faces are referenced twice, outside faces once\n\t\t\n\t\t// set up an array that will contain the reference counts for each face\n\t\tint[] faceRefs = new int[faces.size()];\n\t\tfor(int i=0; i<faceRefs.length; i++) faceRefs[i] = 0;\n\t\t\n\t\t// now go through all the simplices...\n\t\tfor(Simplex simplex : simplices)\n\t\t{\n\t\t\t// ... and increase the reference count of all the faces in the simplex\n\t\t\tint[] simplexFaceIndices = simplex.getFaceIndices();\t// should be of length 4\n\t\t\tfor(int i=0; i<4; i++)\n\t\t\t{\n\t\t\t\t// increase the reference count of the <i>th face of the simplex\n\t\t\t\tfaceRefs[simplexFaceIndices[i]]++;\n\t\t\t}\n\t\t}\n\t\t\n\t\t// now collect the indices of all faces that are referenced only once, i.e. the outside faces\n\t\tArrayList<Integer> outsideFaceIndices = new ArrayList<Integer>();\n\t\tfor(int i=0; i<faceRefs.length; i++)\n\t\t\t// is there exactly one reference to the face with index i?\n\t\t\tif(faceRefs[i] == 1)\n\t\t\t\t// yes; add i to the list of outside-face indices\n\t\t\t\toutsideFaceIndices.add(i);\n\t\t\n\t\t// return the list of outside-face indices\n\t\treturn outsideFaceIndices;\n\t}","public FaceAttributes faceAttributes() {\n return this.faceAttributes;\n }","public int getFace(){\n\t\treturn this.verdi;\n\t}","public int getFaceCount() {\n \tif (indicesBuf == null)\n \t\treturn 0;\n \tif(STRIPFLAG){\n \t\treturn indicesBuf.asShortBuffer().limit();\n \t}else{\n \t\treturn indicesBuf.asShortBuffer().limit()/3;\n \t}\n }","public List<FamilyMember> listAllFamilyMembers() {\n if (isFamilyMemberMapNullOrEmpty(familyMemberMap)) {\n return new ArrayList<>();\n }\n return new ArrayList<>(familyMemberMap.values());\n }","public void checkFaces()\n\tthrows InconsistencyException\n\t{\n\t\t// first check if faces is non-null\n\t\tif(faces == null)\n\t\t\tthrow new InconsistencyException(\"The ArrayList faces should be non-null, but is null.\");\n\n\t\t// check that all vertices are referenced at least three times, as each is the vertex of at least one simplex\n\t\t// and in each simplex three faces meet at each vertex;\n\t\t// also check that all edges are referenced at least two times\n\t\t\n\t\t// create an array of ints that will hold the number of references to each vertex in the list of faces...\n\t\tint[] vertexReferences = new int[vertices.size()];\n\t\t// ... and one that will hold the number of references to each edge...\n\t\tint[] edgeReferences = new int[edges.size()];\n\t\t\n\t\t// ... and set all these reference counts initially to zero\n\t\tfor(int i=0; i<vertexReferences.length; i++) vertexReferences[i] = 0;\n\t\tfor(int i=0; i<edgeReferences.length; i++) edgeReferences[i] = 0;\n\t\t\n\t\t// go through all faces...\n\t\tfor(Face face:faces)\n\t\t{\n\t\t\t// go through all three vertices...\n\t\t\tfor(int i=0; i<3; i++)\n\t\t\t\t// ... and increase the reference count of the vertex by 1\n\t\t\t\tvertexReferences[face.getVertexIndices()[i]]++;\n\t\t\t// note that any vertex indices that are out of bounds will throw up an error here!\n\n\t\t\t// go through all three edges...\n\t\t\tfor(int i=0; i<3; i++)\n\t\t\t\t// ... and increase the reference count of the edge by 1\n\t\t\t\tedgeReferences[face.getEdgeIndices()[i]]++;\n\t\t\t// note that any vertex indices that are out of bounds will throw up an error here!\n\t\t}\n\n\t\t// check that all vertex reference counts are >= 3\n\t\tfor(int i=0; i<vertexReferences.length; i++)\n\t\t{\n\t\t\tif(vertexReferences[i] < 3)\n\t\t\t{\n\t\t\t\t// vertex i is referenced fewer than 3 times\n\t\t\t\t\n\t\t\t\t// throw an InconsistencyException\n\t\t\t\tthrow(new InconsistencyException(\"Vertex #\" + i + \" should be referenced in the list of faces >= 3 times, but is referenced only \" + vertexReferences[i] + \" times.\"));\n\t\t\t}\n\t\t}\n\n\t\t// check that all edge reference counts are >= 2\n\t\tfor(int i=0; i<edgeReferences.length; i++)\n\t\t{\n\t\t\tif(edgeReferences[i] < 2)\n\t\t\t{\n\t\t\t\t// edge i is referenced fewer than 2 times\n\t\t\t\t\n\t\t\t\t// throw an InconsistencyException\n\t\t\t\tthrow(new InconsistencyException(\"Edge #\" + i + \" should be referenced in the list of faces >= 2 times, but is referenced only \" + edgeReferences[i] + \" times.\"));\n\t\t\t}\n\t\t}\n\t}","public ArrayList<Familymember> getMyFamilymembers() {\n\t\treturn myFamilymembers;\n\t}","public String getFace()\r\n {\r\n face = \"[\";\r\n if (color != \"none\")\r\n {\r\n face += this.color + \" \";\r\n }\r\n // Switch sttements to set diffrent faces \r\n switch(this.value)\r\n {\r\n default: face += String.valueOf(this.value); \r\n break;\r\n case 10: face += \"Skip\"; \r\n break;\r\n case 11: face += \"Reverse\"; \r\n break;\r\n case 12: face += \"Draw 2\"; \r\n break;\r\n case 13: face += \"Wild\"; \r\n break;\r\n case 14: face += \"Wild Draw 4\"; \r\n break;\r\n }\r\n face += \"]\";\r\n return face;\r\n }","public Vector3f[] getFaceVertices(int faceNumber) {\n\n\t\tint segmentNumber = 0;\n\n\t\tint indexNumber = faceNumber;\n\n\t\t// debug.println(\"segmentNumber, indexNumber = \" + segmentNumber + \" \" +\n\t\t// indexNumber);\n\n\t\twhile (indexNumber >= getIndexCountInSegment(segmentNumber)) {\n\t\t\tindexNumber -= getIndexCountInSegment(segmentNumber);\n\t\t\tsegmentNumber++;\n\t\t}\n\n\t\t// debug.println(\"segmentNumber, indexNumber = \" + segmentNumber + \" \" +\n\t\t// indexNumber);\n\n\t\tint[] vertindexes = getModelVerticeIndicesInSegment(segmentNumber, indexNumber);\n\n\t\t// parent.println(vertindexes);\n\n\t\tVector3f[] tmp = new Vector3f[vertindexes.length];\n\n\t\tfor (int i = 0; i < tmp.length; i++) {\n\t\t\ttmp[i] = new Vector3f();\n\t\t\ttmp[i].set(getModelVertice(vertindexes[i]));\n\t\t}\n\n\t\treturn tmp;\n\t}","@Override\r\n public void onSuccess(List<Face> faces) {\n detectFaces(faces, mutableImage);\r\n hideProgress();\r\n bottom_sheet_recycler.getAdapter().notifyDataSetChanged();\r\n bottomSheetBehavior.setState(BottomSheetBehavior.STATE_EXPANDED);\r\n\r\n faceDetectionCameraView.stop();\r\n\r\n imageView.setVisibility(View.VISIBLE);\r\n imageView.setImageBitmap(mutableImage);\r\n }","public Observable<ServiceResponse<FoundFacesInner>> findFacesWithServiceResponseAsync(Boolean cacheImage) {\n if (this.client.baseUrl() == null) {\n throw new IllegalArgumentException(\"Parameter this.client.baseUrl() is required and cannot be null.\");\n }\n String parameterizedHost = Joiner.on(\", \").join(\"{baseUrl}\", this.client.baseUrl());\n return service.findFaces(cacheImage, this.client.acceptLanguage(), parameterizedHost, this.client.userAgent())\n .flatMap(new Func1<Response<ResponseBody>, Observable<ServiceResponse<FoundFacesInner>>>() {\n @Override\n public Observable<ServiceResponse<FoundFacesInner>> call(Response<ResponseBody> response) {\n try {\n ServiceResponse<FoundFacesInner> clientResponse = findFacesDelegate(response);\n return Observable.just(clientResponse);\n } catch (Throwable t) {\n return Observable.error(t);\n }\n }\n });\n }","public ArrayList<String[]> getFavoritePairs() {\n ArrayList<String[]> favPairs = new ArrayList<>();\n for(Landmark landmark : landmarks.getFavorites()) {\n favPairs.add(new String[]{landmark.getName(), landmark.getLocation().toString(), landmark.getDescription()});\n }\n return favPairs;\n }","public FaceRectangle faceRectangle() {\n return this.faceRectangle;\n }","public ArrayList<FraisHF> getListFraisH() {\n return listeFraisHf;\n }","public static BufferedImage detectFace(BufferedImage newPhoto) {\n\t\tIplImage faceImage = IplImage.createFrom(newPhoto);\n\t\tCvHaarClassifierCascade cascade = new CvHaarClassifierCascade(cvLoad(\"res/haarcascade_frontalface_default.xml\"));\n\t\tCvMemStorage storage = CvMemStorage.create();\n\t\tCvSeq sign = cvHaarDetectObjects(faceImage, cascade, storage, 1.1, 3, CV_HAAR_DO_CANNY_PRUNING);\n\t\tcvClearMemStorage(storage);\n\t\t\n\t\t//if not faces detected, returns null.\n\t\tif (sign.total() == 0){\n\t\t\tnewPhoto = null;\n\t\t\tSystem.out.println(\"No Face\");\n\t\t}\n\t\t\n\t\telse {\n\t\t\tIplImage newImage; //IplImage used to temporarily hold the face\n\t\t\tint biggest = 0; //location of biggest face\n\t\t\tint biggestSize = 0; //height of biggest face\n\t\t\tCvRect r;\n\t\t\tfor (int i = 0; i < sign.total(); i++){\n\t\t\t\tr = new CvRect(cvGetSeqElem(sign, i));\n\t\t\t\t\n\t\t\t\tif (r.height() > biggestSize){\n\t\t\t\t\tbiggest = i;\n\t\t\t\t\tbiggestSize = r.height();\n\t\t\t\t}\n\t\n\t\t\t}\n\t\t\tcvResetImageROI(faceImage);\n\t\t\tr = new CvRect(cvGetSeqElem(sign, biggest));\n\t\t\tcvSetImageROI(faceImage, r);\n\t\t\t//sets size of newImage to same as face\n\t\t\tnewImage = cvCreateImage(cvGetSize(faceImage), faceImage.depth(), faceImage.nChannels());\n\t\t\t//Copies the face into newImage\n\t\t\tcvCopy(faceImage, newImage);\n\t\t\tcvResetImageROI(faceImage);\n\t\t\t//Converts back to BufferedImage\n\t\t\tnewPhoto = newImage.getBufferedImage();\n\t\t}\n\t\t//If null = no faces detected\n\t\treturn newPhoto;\n\t}","public List<FacetRequest> facets() {\n return this.facets;\n }","String[] getFamilyNames() {\n\t\treturn this.familyMap.keySet().toArray(new String[this.familyMap.size()]);\n\t}","@Override\n protected Face[] doInBackground(InputStream... params) {\n FaceServiceClient faceServiceClient = SampleApp.getFaceServiceClient();\n try {\n publishProgress(\"Detecting...\");\n\n // Start detection.\n return faceServiceClient.detect(\n params[0], /* Input stream of image to detect */\n true, /* Whether to return face ID */\n true, /* Whether to return face landmarks */\n /* Which face attributes to analyze, currently we support:\n age,gender,headPose,smile,facialHair */\n new FaceServiceClient.FaceAttributeType[]{\n FaceServiceClient.FaceAttributeType.Age,\n FaceServiceClient.FaceAttributeType.Gender,\n FaceServiceClient.FaceAttributeType.Smile,\n FaceServiceClient.FaceAttributeType.Glasses,\n FaceServiceClient.FaceAttributeType.FacialHair,\n FaceServiceClient.FaceAttributeType.Emotion,\n FaceServiceClient.FaceAttributeType.HeadPose,\n FaceServiceClient.FaceAttributeType.Accessories,\n FaceServiceClient.FaceAttributeType.Blur,\n FaceServiceClient.FaceAttributeType.Exposure,\n FaceServiceClient.FaceAttributeType.Hair,\n FaceServiceClient.FaceAttributeType.Makeup,\n FaceServiceClient.FaceAttributeType.Noise,\n FaceServiceClient.FaceAttributeType.Occlusion\n });\n\n\n } catch (Exception e) {\n mSucceed = false;\n publishProgress(e.getMessage());\n return null;\n }\n }","java.util.List<org.landxml.schema.landXML11.FeatureDocument.Feature> getFeatureList();","java.util.List<org.landxml.schema.landXML11.FeatureDocument.Feature> getFeatureList();","public static ArrayList<String> getColorsDetected() {\n return colorsDetected;\n }","@Override\n protected Face[] doInBackground(InputStream... params) {\n FaceServiceClient faceServiceClient = SampleApp.getFaceServiceClient();\n try {\n publishProgress(\"Detecting...\");\n\n // Start detection.\n return faceServiceClient.detect(\n params[0], /* Input stream of image to detect */\n true, /* Whether to return face ID */\n true, /* Whether to return face landmarks */\n /* Which face attributes to analyze, currently we support:\n age,gender,headPose,smile,facialHair */\n new FaceServiceClient.FaceAttributeType[] {\n FaceServiceClient.FaceAttributeType.Age,\n FaceServiceClient.FaceAttributeType.Gender,\n FaceServiceClient.FaceAttributeType.Smile,\n FaceServiceClient.FaceAttributeType.Glasses,\n FaceServiceClient.FaceAttributeType.FacialHair,\n FaceServiceClient.FaceAttributeType.Emotion,\n FaceServiceClient.FaceAttributeType.HeadPose,\n FaceServiceClient.FaceAttributeType.Accessories,\n FaceServiceClient.FaceAttributeType.Blur,\n FaceServiceClient.FaceAttributeType.Exposure,\n FaceServiceClient.FaceAttributeType.Hair,\n FaceServiceClient.FaceAttributeType.Makeup,\n FaceServiceClient.FaceAttributeType.Noise,\n FaceServiceClient.FaceAttributeType.Occlusion\n });\n } catch (Exception e) {\n mSucceed = false;\n publishProgress(e.getMessage());\n return null;\n }\n }","List<IShape> getVisibleShapes();","public void inferFacesFromEdges()\n\tthrows InconsistencyException\n\t{\n\t\t// first empty the list of faces\n\t\tif(faces == null)\n\t\t\tfaces = new ArrayList<Face>();\n\t\telse\n\t\t\tfaces.clear();\n\n\t\t// go through all vertices\n\t\tfor(int v=0; v<vertices.size(); v++)\n\t\t{\n\t\t\t// first find all edges with vertex #v and other vertex #w, where w>v\n\t\t\t// (if w<v, then that face will already have been detected earlier)...\n\t\t\t\n\t\t\t// ... by creating an array that will hold the edge indices...\n\t\t\tArrayList<Integer> indicesOfEdgesAtVertex = new ArrayList<Integer>();\n\t\t\t\n\t\t\t// ... and populating it by going through all the edges\n\t\t\tfor(int e=0; e<edges.size(); e++)\n\t\t\t{\n\t\t\t\t// does edge #e start or finish at vertex #v, and if so is the index of the other vertex >v?\n\t\t\t\tif(edges.get(e).getOtherVertexIndex(v) > v)\n\t\t\t\t{\n\t\t\t\t\t// yes\n\t\t\t\t\t\n\t\t\t\t\t// add it to the list of edges that start or finish at this vertex\n\t\t\t\t\tindicesOfEdgesAtVertex.add(e);\n\t\t\t\t}\n\t\t\t}\n\t\t\t\n\t\t\t// System.out.println(\"SimplicialComplex::inferFacesFromEdges: indices of edges meeting at vertex #\"+v+\": \" + indicesOfEdgesAtVertex.toString());\n\t\t\t\n\t\t\t// second, go through all pairs of edges that start or finish at vertex #v;\n\t\t\t// each such pair represents two of the three edges of a face that meets at vertex #v\n\t\t\tfor(int e1=0; e1<indicesOfEdgesAtVertex.size(); e1++)\n\t\t\t\tfor(int e2=e1+1; e2<indicesOfEdgesAtVertex.size(); e2++)\n\t\t\t\t{\n\t\t\t\t\t// create an empty face\n\t\t\t\t\tFace face = new Face(this);\n\t\t\t\t\t\n//\t\t\t\t\tSystem.out.println(\"SimplicialComplex::inferFacesFromEdges: e1=\" + e1 + \", e2=\" + e2);\n//\t\t\t\t\tSystem.out.println(\"SimplicialComplex::inferFacesFromEdges: edges: \"+edges.get(indicesOfEdgesAtVertex.get(e1)) + \", \" + edges.get(indicesOfEdgesAtVertex.get(e2)));\n//\t\t\t\t\tSystem.out.println(\"SimplicialComplex::inferFacesFromEdges: other vertex indices: \"+edges.get(indicesOfEdgesAtVertex.get(e1)).getOtherVertexIndex(v) + \", \" + edges.get(indicesOfEdgesAtVertex.get(e2)).getOtherVertexIndex(v));\n\t\t\t\t\n\t\t\t\t\t// set the face's vertex indices...\n\t\t\t\t\tface.setVertexIndices(v, edges.get(indicesOfEdgesAtVertex.get(e1)).getOtherVertexIndex(v), edges.get(indicesOfEdgesAtVertex.get(e2)).getOtherVertexIndex(v));\n\t\t\t\t\t\n\t\t\t\t\t// ... and from these infer the edge indices\n\t\t\t\t\ttry {\n\t\t\t\t\t\t// see if it is possible to infer the edges...\n\t\t\t\t\t\tface.inferEdgeIndices();\n\t\t\t\t\t\t\n\t\t\t\t\t\t// ... and if it is, add the face to the list of faces\n\t\t\t\t\t\tfaces.add(face);\n\t\t\t\t\t} catch (InconsistencyException e) {}\n\t\t\t\t}\n\t\t}\n\t}","List<Feature> getFeatures();","public Set<Frage> getAlleFragen() {\r\n Set<Frage> result = new HashSet<Frage>();\r\n Set<FrageDTO> fragen = dataStore.getAlleFragen();\r\n for (FrageDTO dto : fragen) {\r\n int frageId = dto.getId();\r\n List<String> antworten = dataStore.getAntwortenById(frageId);\r\n List<Integer> votes = dataStore.getVotings(frageId);\r\n Frage frage = new Frage(dto.getId(), dto.getText(),\r\n dto.getStatus(), antworten, votes);\r\n result.add(frage);\r\n }\r\n return result;\r\n }","public List<FrameFaceRects> getFaceRects(long startTime, long endTime) {\n if(frameDataMap == null){\n return Collections.emptyList();\n }\n List<FrameFaceRects> result = new ArrayList<>();\n final int size = frameDataMap.size();\n for (int i = 0; i < size ; i++) {\n long key = CommonUtils.timeToFrame(frameDataMap.keyAt(i), TimeUnit.SECONDS);\n if(key >= startTime && key <= endTime){\n FrameFaceRects faceRects = frameDataMap.valueAt(i).getFaceRects();\n if(faceRects != null) {\n result.add(faceRects);\n }\n }\n }\n return result;\n }","public static String[] getFamilyNames() {\n if (fonts == null) {\n getAllFonts();\n }\n\n return (String[]) families.toArray(new String[0]);\n }","@Override\n public void onUpdate(FaceDetector.Detections<Face> detectionResults, Face face)\n {\n int facesFound = detectionResults.getDetectedItems().size();\n\n faceTrackingListener.onFaceDetected(facesFound);\n }","public Set<VCube> getSupportedCubes();","public FriendList[] getFriendsLists();","boolean hasFaceUp();","public List<FactoryArrayStorage<?>> getVertices() {\n return mFactoryVertices;\n }","@DISPID(1610940431) //= 0x6005000f. The runtime will prefer the VTID if present\n @VTID(37)\n Collection userSurfaces();","public List<FacesMessage> getMessages() {\n return FxJsfUtils.getMessages(null);\n }","public void startFaceDetection() {\n /*\n r6 = this;\n r0 = r6.mFaceDetectionStarted;\n if (r0 != 0) goto L_0x004a;\n L_0x0004:\n r0 = r6.mCameraDevice;\n if (r0 == 0) goto L_0x004a;\n L_0x0008:\n r0 = r6.needFaceDetection();\n if (r0 != 0) goto L_0x000f;\n L_0x000e:\n goto L_0x004a;\n L_0x000f:\n r0 = r6.mCameraCapabilities;\n r0 = r0.getMaxNumOfFacesSupported();\n if (r0 <= 0) goto L_0x0049;\n L_0x0017:\n r0 = 1;\n r6.mFaceDetectionStarted = r0;\n r1 = r6.mCameraDevice;\n r2 = r6.mHandler;\n r3 = r6.mUI;\n r1.setFaceDetectionCallback(r2, r3);\n r1 = r6.mUI;\n r2 = r6.mDisplayOrientation;\n r3 = r6.isCameraFrontFacing();\n r4 = r6.mCameraId;\n r4 = r6.cropRegionForZoom(r4);\n r5 = 1065353216; // 0x3f800000 float:1.0 double:5.263544247E-315;\n r1.onStartFaceDetection(r2, r3, r4, r5);\n r1 = TAG;\n r2 = \"startFaceDetection\";\n com.hmdglobal.app.camera.debug.Log.w(r1, r2);\n r1 = r6.mCameraDevice;\n r1.startFaceDetection();\n r1 = com.hmdglobal.app.camera.util.SessionStatsCollector.instance();\n r1.faceScanActive(r0);\n L_0x0049:\n return;\n L_0x004a:\n return;\n */\n throw new UnsupportedOperationException(\"Method not decompiled: com.hmdglobal.app.camera.PhotoModule.startFaceDetection():void\");\n }","public Fence[] getAllFences() {\n/* 622 */ Set<Fence> fenceSet = new HashSet<>();\n/* 623 */ if (this.fences != null)\n/* */ {\n/* 625 */ for (Fence f : this.fences.values())\n/* */ {\n/* 627 */ fenceSet.add(f);\n/* */ }\n/* */ }\n/* */ \n/* 631 */ VolaTile eastTile = this.zone.getTileOrNull(this.tilex + 1, this.tiley);\n/* 632 */ if (eastTile != null) {\n/* */ \n/* 634 */ Fence[] eastFences = eastTile.getFencesForDir(Tiles.TileBorderDirection.DIR_DOWN);\n/* 635 */ for (int x = 0; x < eastFences.length; x++)\n/* */ {\n/* 637 */ fenceSet.add(eastFences[x]);\n/* */ }\n/* */ } \n/* */ \n/* 641 */ VolaTile southTile = this.zone.getTileOrNull(this.tilex, this.tiley + 1);\n/* 642 */ if (southTile != null) {\n/* */ \n/* 644 */ Fence[] southFences = southTile.getFencesForDir(Tiles.TileBorderDirection.DIR_HORIZ);\n/* 645 */ for (int x = 0; x < southFences.length; x++)\n/* */ {\n/* 647 */ fenceSet.add(southFences[x]);\n/* */ }\n/* */ } \n/* */ \n/* 651 */ if (fenceSet.size() == 0) {\n/* 652 */ return emptyFences;\n/* */ }\n/* 654 */ return fenceSet.<Fence>toArray(new Fence[fenceSet.size()]);\n/* */ }","public void recognize(){\n\t String dirOfFace =\".\\\\Faces\";\n\t String dirOfTestFaces =\".\\\\TestFaces\";\n\t \n\t File root = new File(dirOfFace);\n File Testfaces = new File(dirOfTestFaces);\n FilenameFilter imgFilter = new FilenameFilter() {\n\n public boolean accept(File dir, String name) {\n\n name = name.toLowerCase();\n\n return name.endsWith(\".jpg\") || name.endsWith(\".pgm\") || name.endsWith(\".png\");\n\n }\n\n };\n \n File[] imageFiles = Testfaces.listFiles(imgFilter);\n for (File image : imageFiles) {\n Recognizer fd = new Recognizer();\n int rollno=0;\n rollno = fd.returnPredict(image,root);\n System.out.println(rollno);\n try {\n db.AttendenceTable(rollno);\n } catch (ClassNotFoundException ex) {\n JOptionPane.showMessageDialog(null, ex);\n }\n }\n\n\n }","public ArrayList<String> loadFavorites() {\n\n\t\tSAVE_FILE = FAVORITE_FILE;\n\t\tArrayList<String> list = new ArrayList<String>();\n\t\tlist = loadIds();\n\t\treturn list;\n\t}","public java.util.List<V> getVertices();","boolean getFaceDetectionPref();","public interface FaceTrackingListener {\n void onFaceLeftMove();\n void onFaceRightMove();\n void onFaceUpMove();\n void onFaceDownMove();\n void onGoodSmile();\n void onEyeCloseError();\n void onMouthOpenError();\n void onMultipleFaceError();\n\n}","public void FPrimeEvent(ArrayList<ArrayList<Shape>> faces) {\r\n \tint u1 = CUBE7, l1 = CUBE9, r1 = CUBE1, b1 = CUBE3;\r\n \tfor(int i = 0; i < 3; i++) {\r\n \t\tColor color = faces.get(TOP).get(u1).getColor();\r\n \tfaces.get(TOP).get(u1).changeColor(faces.get(RIGHT).get(r1).getColor());\r\n \tfaces.get(RIGHT).get(r1).changeColor(faces.get(BOTTOM).get(b1).getColor());\r\n \tfaces.get(BOTTOM).get(b1).changeColor(faces.get(LEFT).get(l1).getColor());\r\n \tfaces.get(LEFT).get(l1).changeColor(color);\r\n \tu1++;\r\n \tl1 -= SHIFT_ROW;\r\n \tb1--;\r\n \tr1 += SHIFT_ROW;\r\n \t} \r\n \r\n \tColor color = faces.get(FRONT).get(CUBE1).getColor();\r\n \tfaces.get(FRONT).get(CUBE1).changeColor(faces.get(FRONT).get(CUBE3).getColor());\r\n \tfaces.get(FRONT).get(CUBE3).changeColor(faces.get(FRONT).get(CUBE9).getColor());\r\n \tfaces.get(FRONT).get(CUBE9).changeColor(faces.get(FRONT).get(CUBE7).getColor());\r\n \tfaces.get(FRONT).get(CUBE7).changeColor(color);\r\n \tcolor = faces.get(FRONT).get(CUBE2).getColor();\r\n \tfaces.get(FRONT).get(CUBE2).changeColor(faces.get(FRONT).get(CUBE6).getColor());\r\n \tfaces.get(FRONT).get(CUBE6).changeColor(faces.get(FRONT).get(CUBE8).getColor());\r\n \tfaces.get(FRONT).get(CUBE8).changeColor(faces.get(FRONT).get(CUBE4).getColor());\r\n \tfaces.get(FRONT).get(CUBE4).changeColor(color);\r\n }","public FamilyInfo[] getFamilyInfo() {\n return familyInfo;\n }","public ArrayList<Collidable> getNeighbors();","public Figure[] getFigures() {\n return figures;\n }","public static List<IEssence> getRegisteredEssences() {\n ArrayList<IEssence> essences = new ArrayList();\n MagicStaffs.ITEMS\n .stream()\n .filter(item -> item instanceof IEssence)\n .forEach(item -> essences.add((IEssence) item));\n return essences;\n }","public boolean needFaceDetection() {\n return true;\n }","java.util.List<message.Figure.FigureData.FigureBase> \n getFigureListList();","public static ArrayList<FamilyType> getAvailableFamilies() {\n ArrayList<FamilyType> allFamilies = new ArrayList<FamilyType>();\n File dir = new File(getRapidSmithPath() + File.separator + \"devices\");\n if (!dir.exists()) {\n MessageGenerator.briefErrorAndExit(\"ERROR: No part files exist. Please run \" +\n Installer.class.getCanonicalName() + \" to create part files.\");\n }\n for (String partFamily : dir.list()) {\n FamilyType type = PartNameTools.getFamilyTypeFromFamilyName(partFamily);\n if (type != null) allFamilies.add(type);\n }\n\n return allFamilies;\n }","java.util.List<uk.ac.cam.acr31.features.javac.proto.GraphProtos.FeatureEdge> \n getEdgeList();","protected abstract void setFaces();","public java.util.List<org.landxml.schema.landXML11.FeatureDocument.Feature> getFeatureList()\r\n {\r\n final class FeatureList extends java.util.AbstractList<org.landxml.schema.landXML11.FeatureDocument.Feature>\r\n {\r\n public org.landxml.schema.landXML11.FeatureDocument.Feature get(int i)\r\n { return IntersectionImpl.this.getFeatureArray(i); }\r\n \r\n public org.landxml.schema.landXML11.FeatureDocument.Feature set(int i, org.landxml.schema.landXML11.FeatureDocument.Feature o)\r\n {\r\n org.landxml.schema.landXML11.FeatureDocument.Feature old = IntersectionImpl.this.getFeatureArray(i);\r\n IntersectionImpl.this.setFeatureArray(i, o);\r\n return old;\r\n }\r\n \r\n public void add(int i, org.landxml.schema.landXML11.FeatureDocument.Feature o)\r\n { IntersectionImpl.this.insertNewFeature(i).set(o); }\r\n \r\n public org.landxml.schema.landXML11.FeatureDocument.Feature remove(int i)\r\n {\r\n org.landxml.schema.landXML11.FeatureDocument.Feature old = IntersectionImpl.this.getFeatureArray(i);\r\n IntersectionImpl.this.removeFeature(i);\r\n return old;\r\n }\r\n \r\n public int size()\r\n { return IntersectionImpl.this.sizeOfFeatureArray(); }\r\n \r\n }\r\n \r\n synchronized (monitor())\r\n {\r\n check_orphaned();\r\n return new FeatureList();\r\n }\r\n }","public void startFaceDetection() {\n /*\n r4 = this;\n r0 = r4.mFaceDetectionStarted;\n if (r0 != 0) goto L_0x0036;\n L_0x0004:\n r0 = r4.mCameraDevice;\n if (r0 == 0) goto L_0x0036;\n L_0x0008:\n r0 = r4.needFaceDetection();\n if (r0 != 0) goto L_0x000f;\n L_0x000e:\n goto L_0x0036;\n L_0x000f:\n r0 = r4.mCameraCapabilities;\n r0 = r0.getMaxNumOfFacesSupported();\n if (r0 <= 0) goto L_0x0035;\n L_0x0017:\n r0 = 1;\n r4.mFaceDetectionStarted = r0;\n r1 = TAG;\n r2 = \"startFaceDetection\";\n com.hmdglobal.app.camera.debug.Log.w(r1, r2);\n r1 = r4.mCameraDevice;\n r2 = r4.mHandler;\n r3 = 0;\n r1.setFaceDetectionCallback(r2, r3);\n r1 = r4.mCameraDevice;\n r1.startFaceDetection();\n r1 = com.hmdglobal.app.camera.util.SessionStatsCollector.instance();\n r1.faceScanActive(r0);\n L_0x0035:\n return;\n L_0x0036:\n return;\n */\n throw new UnsupportedOperationException(\"Method not decompiled: com.hmdglobal.app.camera.VideoModule.startFaceDetection():void\");\n }","public Fence[] getFencesForDir(Tiles.TileBorderDirection dir) {\n/* 713 */ if (this.fences != null) {\n/* */ \n/* 715 */ Set<Fence> fenceSet = new HashSet<>();\n/* 716 */ for (Fence f : this.fences.values()) {\n/* */ \n/* 718 */ if (f.getDir() == dir)\n/* 719 */ fenceSet.add(f); \n/* */ } \n/* 721 */ return fenceSet.<Fence>toArray(new Fence[fenceSet.size()]);\n/* */ } \n/* */ \n/* 724 */ return emptyFences;\n/* */ }","public List<EnumerationValue> getGenders()\r\n\t{\r\n\t\treturn getGenders( getSession().getSessionContext() );\r\n\t}","public RubiksFace getRubiksFace(RubiksFace.RubiksFacePosition position) {\n for (RubiksFace face : rubiksFaceList) {\n if (face.getFacePosition() == position) {\n return face;\n }\n }\n\n return null;\n }","public int getFaceValue ()\n {\n return faceValue;\n }"],"string":"[\n \"public Face[] getFaces() {\\n return faces;\\n }\",\n \"static FaceSegment[] allFaces() {\\n FaceSegment[] faces = new FaceSegment[6];\\n for (int i = 0; i < faces.length; i++) {\\n faces[i] = new FaceSegment();\\n }\\n return faces;\\n }\",\n \"public int[][] getFaces() {\\n\\t\\treturn this.faces;\\n\\t}\",\n \"public int faces() { \\n return this.faces; \\n }\",\n \"public int getFaces() {\\n return this.faces;\\n }\",\n \"public Rect[] getFaceRects()\\n {\\n final String funcName = \\\"getFaceRects\\\";\\n\\n if (debugEnabled)\\n {\\n dbgTrace.traceEnter(funcName, TrcDbgTrace.TraceLevel.API);\\n dbgTrace.traceExit(funcName, TrcDbgTrace.TraceLevel.API);\\n }\\n\\n return faceRects;\\n }\",\n \"public Observable<FoundFacesInner> findFacesAsync() {\\n return findFacesWithServiceResponseAsync().map(new Func1<ServiceResponse<FoundFacesInner>, FoundFacesInner>() {\\n @Override\\n public FoundFacesInner call(ServiceResponse<FoundFacesInner> response) {\\n return response.body();\\n }\\n });\\n }\",\n \"public int[] getFace() {\\n\\t\\treturn this.face;\\n\\t}\",\n \"public Observable<ServiceResponse<FoundFacesInner>> findFacesWithServiceResponseAsync() {\\n if (this.client.baseUrl() == null) {\\n throw new IllegalArgumentException(\\\"Parameter this.client.baseUrl() is required and cannot be null.\\\");\\n }\\n final Boolean cacheImage = null;\\n String parameterizedHost = Joiner.on(\\\", \\\").join(\\\"{baseUrl}\\\", this.client.baseUrl());\\n return service.findFaces(cacheImage, this.client.acceptLanguage(), parameterizedHost, this.client.userAgent())\\n .flatMap(new Func1<Response<ResponseBody>, Observable<ServiceResponse<FoundFacesInner>>>() {\\n @Override\\n public Observable<ServiceResponse<FoundFacesInner>> call(Response<ResponseBody> response) {\\n try {\\n ServiceResponse<FoundFacesInner> clientResponse = findFacesDelegate(response);\\n return Observable.just(clientResponse);\\n } catch (Throwable t) {\\n return Observable.error(t);\\n }\\n }\\n });\\n }\",\n \"java.util.List getSurfaceRefs();\",\n \"public int getFaceCount() {\\r\\n return faceCount;\\r\\n\\t}\",\n \"private Face chooseFace(ArrayList<Face> faces) {\\n return faces.get(0);\\n }\",\n \"public ArrayList<Integer> getOutsideFaceIndices()\\n\\t{\\n\\t\\t// now collect the indices of all faces that are referenced only once, i.e. the outside faces\\n\\t\\tArrayList<Integer> outsideFaceIndices = new ArrayList<Integer>();\\n\\t\\tfor(int i=0; i<faces.size(); i++)\\n\\t\\t\\t// is there exactly one reference to the face with index i?\\n\\t\\t\\tif(getFace(i).getNoOfFacesToOutside() == 0)\\n\\t\\t\\t\\t// yes; add i to the list of outside-face indices\\n\\t\\t\\t\\toutsideFaceIndices.add(i);\\n\\t\\t\\n\\t\\t// return the list of outside-face indices\\n\\t\\treturn outsideFaceIndices;\\n\\t}\",\n \"public int getFaceCount() {\\n\\t\\tint count = 0;\\n\\n\\t\\tfor (int i = 0; i < getSegmentCount(); i++) {\\n\\t\\t\\tcount += getIndexCountInSegment(i);\\n\\t\\t}\\n\\n\\t\\treturn count;\\n\\t}\",\n \"public String getFace() {\\r\\n return face;\\r\\n }\",\n \"public String getFace() {\\r\\n return face;\\r\\n }\",\n \"public interface FaceFinder {\\n\\n public CvFace[] detectFace(Bitmap bitmap);\\n\\n}\",\n \"private List<Vertice> pegaVerticesFolha() {\\n List<Vertice> verticesFolha = new ArrayList<Vertice>();\\n\\n for (Vertice vertice : this.pegaTodosOsVerticesDoGrafo()) {\\n if (this.getGrauDeSaida(vertice) == 0) {\\n verticesFolha.add(vertice);\\n }\\n }\\n\\n return verticesFolha;\\n }\",\n \"public ArrayList< Card > getCheat() {\\r\\n ArrayList< Card > faces = new ArrayList<>();\\r\\n\\r\\n for ( Card card : cards ) {\\r\\n Card copy = new Card( card );\\r\\n copy.setFaceUp();\\r\\n faces.add( copy );\\r\\n }\\r\\n return faces;\\r\\n }\",\n \"public FaceLandmarks faceLandmarks() {\\n return this.faceLandmarks;\\n }\",\n \"private List<Bitmap> processFaceResult(List<FirebaseVisionFace> faces, FirebaseVisionImage image, boolean keepOriginal) {\\n final int FACE_IMG_WIDTH = 160;\\n final int FACE_IMG_HEIGHT = 160;\\n\\n List<Bitmap> facesInFrame = new ArrayList<>();\\n for (FirebaseVisionFace face : faces) {\\n Rect bounds = face.getBoundingBox();\\n Bitmap bitmap = cropBitmap(image.getBitmap(), bounds);\\n if(keepOriginal == false) {\\n bitmap = Bitmap.createScaledBitmap(bitmap, FACE_IMG_WIDTH, FACE_IMG_HEIGHT, true);\\n }\\n facesInFrame.add(bitmap);\\n\\n }\\n return facesInFrame;\\n }\",\n \"public String getFace() {\\n\\t\\treturn face;\\n\\t}\",\n \"public Face getFaceVitoriosa() {\\n return faceVitoriosa;\\n }\",\n \"public int getFace() {\\n\\t\\treturn face;\\n\\t}\",\n \"private void faceDetection(){\\n\\n String haarPath = resToFile(R.raw.haarcascade_frontalface_default, \\\"haarcascade_frontalface_default.xml\\\");\\n String testPicPath = resToFile(R.drawable.test_me, \\\"test_me.jpg\\\");\\n\\n CascadeClassifier faceDetector = new CascadeClassifier();\\n Mat image = imread(testPicPath);\\n boolean isEmpty = image.empty();\\n\\n faceDetector = new CascadeClassifier(haarPath);\\n if(faceDetector.empty())\\n {\\n Log.v(\\\"MyActivity\\\",\\\"--(!)Error loading A\\\\n\\\");\\n return;\\n }\\n else\\n {\\n Log.v(\\\"MyActivity\\\", \\\"Loaded cascade classifier from \\\" + haarPath);\\n }\\n\\n //My Code\\n MatOfRect faceDetections = new MatOfRect();\\n faceDetector.detectMultiScale(image, faceDetections);\\n\\n System.out.println(String.format(\\\"Detected %s faces\\\", faceDetections.toArray().length));\\n\\n for (Rect rect : faceDetections.toArray()) {\\n Imgproc.rectangle(image, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height),\\n new Scalar(0, 255, 0));\\n// Core.rectangle(image, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height),\\n// new Scalar(0, 255, 0));\\n }\\n\\n Bitmap bm = Bitmap.createBitmap(image.cols(), image.rows(), Bitmap.Config.ARGB_8888);\\n Utils.matToBitmap(image, bm);\\n\\n ImageView imageView = (ImageView) findViewById(R.id.imageView);\\n imageView.setImageBitmap(bm);\\n }\",\n \"public static String detectFacesGcs(String gcsPath) throws IOException {\\n \\tSystem.out.println(\\\"Enter Face detection\\\");\\n List<AnnotateImageRequest> requests = new ArrayList<AnnotateImageRequest>();\\n StringBuilder sb = new StringBuilder();\\n ImageSource imgSource = ImageSource.newBuilder().setGcsImageUri(gcsPath).build();\\n Image img = Image.newBuilder().setSource(imgSource).build();\\n Feature feat = Feature.newBuilder().setType(Feature.Type.FACE_DETECTION).build();\\n \\n AnnotateImageRequest request =\\n AnnotateImageRequest.newBuilder().addFeatures(feat).setImage(img).build();\\n requests.add(request);\\n try (ImageAnnotatorClient client = ImageAnnotatorClient.create()) {\\n \\t\\tSystem.out.println(\\\" Face detection request sent\\\");\\n BatchAnnotateImagesResponse response = client.batchAnnotateImages(requests);\\n List<AnnotateImageResponse> responses = response.getResponsesList();\\n System.out.println(\\\" Face detection response recieved\\\");\\n for (AnnotateImageResponse res : responses) {\\n if (res.hasError()) {\\n System.out.format(\\\"Error: %s%n\\\", res.getError().getMessage());\\n return \\\"\\\";\\n }\\n sb.append(\\\"{\\\");\\n for (FaceAnnotation annotation : res.getFaceAnnotationsList()) {\\n \\t sb.append(\\\"\\\\\\\"anger\\\\\\\":\\\");sb.append('\\\"');\\n \\t sb.append(annotation.getAngerLikelihood().toString());\\n \\t sb.append('\\\"');sb.append(\\\",\\\");sb.append(\\\"\\\\\\\"joy\\\\\\\":\\\"); sb.append('\\\"');\\n \\t sb.append( annotation.getJoyLikelihood().toString());\\n \\t sb.append('\\\"'); sb.append(\\\",\\\");sb.append(\\\"\\\\\\\"suprise\\\\\\\":\\\");sb.append('\\\"');\\n \\t sb.append(annotation.getSurpriseLikelihood().toString());\\n \\t sb.append('\\\"');\\n }\\n sb.append(\\\"}\\\");}}return sb.toString();}\",\n \"static Bitmap detectfaces(Context context, Bitmap bitmap){\\n Timber.d(\\\" timber start building DETECTOR\\\");\\n FaceDetector detector=new FaceDetector.Builder(context)\\n .setTrackingEnabled(false)\\n .setClassificationType(FaceDetector.ALL_CLASSIFICATIONS)\\n .build();\\n// detector.setProcessor(\\n// new MultiProcessor.Builder<>(new GraphicFaceTrackerFactory())\\n// .build());\\n Timber.d(\\\" timber END building DETECTOR\\\");\\n Bitmap resultBitmap = bitmap;\\n if(detector.isOperational()) {\\n Frame frame = new Frame.Builder().setBitmap(bitmap).build();\\n Timber.d(\\\" timber START DETECTING FACES DETECTOR\\\");\\n SparseArray<Face> faces = detector.detect(frame);\\n Timber.d(\\\" timber END DETECTING FACES DETECTOR\\\");\\n\\n\\n Timber.d(\\\"size of faces\\\" + faces.size());\\n // Toast.makeText(context,\\\"number of faces detected = \\\"+faces.size(),Toast.LENGTH_LONG).show();\\n if (faces.size() == 0) {\\n Toast.makeText(context, \\\"No faces detected\\\", Toast.LENGTH_SHORT).show();\\n } else {\\n for (int i = 0; i < faces.size(); i++) {\\n Face face = faces.valueAt(i);\\n // getProbability(face);\\n Emoji emo = whichEmoji(face);\\n Bitmap emojibitmap;\\n switch (emo) {\\n case SMILE:\\n emojibitmap = BitmapFactory.decodeResource(context.getResources(), R.drawable.smile);\\n break;\\n\\n case RIGHT_WINK:\\n emojibitmap = BitmapFactory.decodeResource(context.getResources(), R.drawable.rightwink);\\n break;\\n\\n case LEFT_WINK:\\n emojibitmap = BitmapFactory.decodeResource(context.getResources(), R.drawable.leftwink);\\n break;\\n\\n case CLOSED_EYE_SMILE:\\n emojibitmap = BitmapFactory.decodeResource(context.getResources(), R.drawable.closed_smile);\\n break;\\n\\n case FROWN:\\n emojibitmap = BitmapFactory.decodeResource(context.getResources(), R.drawable.frown);\\n break;\\n\\n case LEFT_WINK_FROWN:\\n emojibitmap = BitmapFactory.decodeResource(context.getResources(), R.drawable.leftwinkfrown);\\n break;\\n\\n case RIGHT_WINK_FROWN:\\n emojibitmap = BitmapFactory.decodeResource(context.getResources(), R.drawable.rightwinkfrown);\\n break;\\n\\n case CLOSED_EYE_FROWN:\\n emojibitmap = BitmapFactory.decodeResource(context.getResources(), R.drawable.closed_frown);\\n break;\\n default:\\n emojibitmap = null;\\n Toast.makeText(context, R.string.no_emoji, Toast.LENGTH_LONG).show();\\n }\\n\\n resultBitmap = addBitmapToFace(resultBitmap, emojibitmap, face);\\n }\\n }\\n }else{\\n Toast.makeText(context,\\\"detector failed\\\",Toast.LENGTH_SHORT).show();\\n }\\n detector.release();\\n return resultBitmap;\\n }\",\n \"public static @NonNull List<TypeFamily> getAvailableFamilies() {\\n Map<String, List<Typeface>> familyMap = new TreeMap<>(String.CASE_INSENSITIVE_ORDER);\\n\\n synchronized (TypefaceManager.class) {\\n sortTypefaces();\\n\\n for (Typeface typeface : typefaces) {\\n List<Typeface> entryList = familyMap.get(typeface.getFamilyName());\\n if (entryList == null) {\\n entryList = new ArrayList<>();\\n familyMap.put(typeface.getFamilyName(), entryList);\\n }\\n\\n entryList.add(typeface);\\n }\\n }\\n\\n List<TypeFamily> familyList = new ArrayList<>(familyMap.size());\\n\\n for (Map.Entry<String, List<Typeface>> entry : familyMap.entrySet()) {\\n String familyName = entry.getKey();\\n List<Typeface> typefaces = entry.getValue();\\n\\n familyList.add(new TypeFamily(familyName, typefaces));\\n }\\n\\n return Collections.unmodifiableList(familyList);\\n }\",\n \"public ArrayList<DetectInfo> getAllDetects(){\\n return orderedLandingPads;\\n }\",\n \"public ArrayList<Furniture> getFoundFurniture(){\\n return foundFurniture;\\n }\",\n \"private static List<ImgDescriptor> getDescriptors(Mat[] faces, String name) {\\n \\tList<ImgDescriptor> ret = new ArrayList<ImgDescriptor>();\\n\\t\\tfor(int i = 0; i < faces.length; i++){\\n \\t\\t// define a copy of the image in order to prevent extract method to modify the original properties\\n \\t\\tMat tmpImg = new Mat(faces[i]);\\n \\t\\tString id = i + \\\"_\\\" + name;\\n \\t\\tfloat[] features = extractor.extract(tmpImg, ExtractionParameters.DEEP_LAYER);\\n \\t\\tImgDescriptor tmp = new ImgDescriptor(features, id);\\n \\t\\tret.add(tmp);\\n \\t\\tSystem.out.println(\\\"Extracting features for \\\" + id);\\n \\t}\\n\\t\\t\\n\\t\\treturn ret;\\n\\t}\",\n \"boolean allFacesPainted() {\\n\\n\\n for (int i = 0; i < s; i ++){\\n if (the_cube[i] == false){\\n return false;\\n\\n }\\n }\\n return true;\\n }\",\n \"public interface FaceInterface {\\n List<PointF> getFacePoints();\\n\\n List<PointF> getLeftEyePoints();\\n\\n List<PointF> getRightEyePoints();\\n\\n public List<PointF> transformPoints(DrawingViewConfig config, boolean mirrorPoints);\\n\\n public RectF getEyesRect();\\n public Emotions getEmotions();\\n Emojis getEmojis();\\n Appearance getAppearance();\\n}\",\n \"public static void detectFaces(File file) throws Exception, IOException {\\r\\n\\t\\t List<AnnotateImageRequest> requests = new ArrayList<>();\\r\\n System.out.println(file.getPath());\\r\\n\\r\\n \\r\\n //convert picture file into original ByteString object and set values to request for google vision API\\r\\n\\t\\t ByteString imgBytes = ByteString.readFrom(new FileInputStream(file));\\r\\n\\r\\n\\t\\t Image img = Image.newBuilder().setContent(imgBytes).build();\\r\\n\\t\\t Feature feat = Feature.newBuilder().setType(Type.FACE_DETECTION).build();\\r\\n\\t\\t AnnotateImageRequest request =\\r\\n\\t\\t AnnotateImageRequest.newBuilder().addFeatures(feat).setImage(img).build();\\r\\n\\t\\t requests.add(request);\\r\\n\\r\\n //call google vision API engine and returns annotations of the image\\r\\n\\t\\t try (ImageAnnotatorClient client = ImageAnnotatorClient.create()) {\\r\\n\\t\\t BatchAnnotateImagesResponse response = client.batchAnnotateImages(requests);\\r\\n\\t\\t List<AnnotateImageResponse> responses = response.getResponsesList();\\r\\n\\r\\n\\t\\t for (AnnotateImageResponse res : responses) {\\r\\n\\t\\t if (res.hasError()) {\\r\\n\\t\\t System.out.printf(\\\"Error: %s\\\\n\\\", res.getError().getMessage());\\r\\n\\t\\t return;\\r\\n\\t\\t }\\r\\n\\r\\n\\t\\t // retrieve annotation value of each emotion\\r\\n\\t\\t for (FaceAnnotation annotation : res.getFaceAnnotationsList()) {\\r\\n\\t\\t int[] emoValue = {annotation.getAngerLikelihoodValue(),\\r\\n annotation.getJoyLikelihoodValue(),\\r\\n annotation.getSorrowLikelihoodValue(),\\r\\n annotation.getSurpriseLikelihoodValue(),\\r\\n };\\r\\n \\r\\n //choose highest annotation value of each emotion\\r\\n int max = 0;\\r\\n for (int i = 0; i < emoValue.length; i++){\\r\\n System.out.print(emoValue[i] + \\\" \\\");\\r\\n if (max < emoValue[i]){\\r\\n max = emoValue[i];\\r\\n index = i;\\r\\n }\\r\\n }\\r\\n //if all of emotion likelihood balue = 1, no expression\\r\\n if (max == 1){index = emotion.length-1;}\\r\\n System.out.println();\\r\\n System.out.println(emotion[index]);\\r\\n }\\r\\n\\r\\n\\t\\t }\\r\\n \\r\\n\\t\\t }catch (Exception e){\\r\\n System.out.println(e);\\r\\n }\\r\\n\\r\\n\\t\\t}\",\n \"protected int getFace() {\\n return face;\\n }\",\n \"public Fence[] getFences() {\\n/* 601 */ if (this.fences != null)\\n/* 602 */ return (Fence[])this.fences.values().toArray((Object[])new Fence[this.fences.size()]); \\n/* 603 */ return emptyFences;\\n/* */ }\",\n \"public List<Facet> facets() {\\n return this.facets;\\n }\",\n \"public Observable<FoundFacesInner> findFacesAsync(Boolean cacheImage) {\\n return findFacesWithServiceResponseAsync(cacheImage).map(new Func1<ServiceResponse<FoundFacesInner>, FoundFacesInner>() {\\n @Override\\n public FoundFacesInner call(ServiceResponse<FoundFacesInner> response) {\\n return response.body();\\n }\\n });\\n }\",\n \"public int getFace(){\\n return face;\\n }\",\n \"public static @NonNull List<Typeface> getAvailableTypefaces() {\\n synchronized (TypefaceManager.class) {\\n sortTypefaces();\\n\\n return Collections.unmodifiableList(new ArrayList<>(typefaces));\\n }\\n }\",\n \"public java.util.List<org.landxml.schema.landXML11.FeatureDocument.Feature> getFeatureList()\\r\\n {\\r\\n final class FeatureList extends java.util.AbstractList<org.landxml.schema.landXML11.FeatureDocument.Feature>\\r\\n {\\r\\n public org.landxml.schema.landXML11.FeatureDocument.Feature get(int i)\\r\\n { return SurfaceImpl.this.getFeatureArray(i); }\\r\\n \\r\\n public org.landxml.schema.landXML11.FeatureDocument.Feature set(int i, org.landxml.schema.landXML11.FeatureDocument.Feature o)\\r\\n {\\r\\n org.landxml.schema.landXML11.FeatureDocument.Feature old = SurfaceImpl.this.getFeatureArray(i);\\r\\n SurfaceImpl.this.setFeatureArray(i, o);\\r\\n return old;\\r\\n }\\r\\n \\r\\n public void add(int i, org.landxml.schema.landXML11.FeatureDocument.Feature o)\\r\\n { SurfaceImpl.this.insertNewFeature(i).set(o); }\\r\\n \\r\\n public org.landxml.schema.landXML11.FeatureDocument.Feature remove(int i)\\r\\n {\\r\\n org.landxml.schema.landXML11.FeatureDocument.Feature old = SurfaceImpl.this.getFeatureArray(i);\\r\\n SurfaceImpl.this.removeFeature(i);\\r\\n return old;\\r\\n }\\r\\n \\r\\n public int size()\\r\\n { return SurfaceImpl.this.sizeOfFeatureArray(); }\\r\\n \\r\\n }\\r\\n \\r\\n synchronized (monitor())\\r\\n {\\r\\n check_orphaned();\\r\\n return new FeatureList();\\r\\n }\\r\\n }\",\n \"public final Face getFace() {\\n\\t\\treturn this.face;\\n\\t}\",\n \"List<IFeature> getFeatureList();\",\n \"private ArrayList<Integer> getOutsideFaceIndicesBeforeAllInfoHasBeenInferred()\\n\\t{\\n\\t\\t// go through all the simplices and count how often each face is referenced;\\n\\t\\t// inside faces are referenced twice, outside faces once\\n\\t\\t\\n\\t\\t// set up an array that will contain the reference counts for each face\\n\\t\\tint[] faceRefs = new int[faces.size()];\\n\\t\\tfor(int i=0; i<faceRefs.length; i++) faceRefs[i] = 0;\\n\\t\\t\\n\\t\\t// now go through all the simplices...\\n\\t\\tfor(Simplex simplex : simplices)\\n\\t\\t{\\n\\t\\t\\t// ... and increase the reference count of all the faces in the simplex\\n\\t\\t\\tint[] simplexFaceIndices = simplex.getFaceIndices();\\t// should be of length 4\\n\\t\\t\\tfor(int i=0; i<4; i++)\\n\\t\\t\\t{\\n\\t\\t\\t\\t// increase the reference count of the <i>th face of the simplex\\n\\t\\t\\t\\tfaceRefs[simplexFaceIndices[i]]++;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\t\\n\\t\\t// now collect the indices of all faces that are referenced only once, i.e. the outside faces\\n\\t\\tArrayList<Integer> outsideFaceIndices = new ArrayList<Integer>();\\n\\t\\tfor(int i=0; i<faceRefs.length; i++)\\n\\t\\t\\t// is there exactly one reference to the face with index i?\\n\\t\\t\\tif(faceRefs[i] == 1)\\n\\t\\t\\t\\t// yes; add i to the list of outside-face indices\\n\\t\\t\\t\\toutsideFaceIndices.add(i);\\n\\t\\t\\n\\t\\t// return the list of outside-face indices\\n\\t\\treturn outsideFaceIndices;\\n\\t}\",\n \"public FaceAttributes faceAttributes() {\\n return this.faceAttributes;\\n }\",\n \"public int getFace(){\\n\\t\\treturn this.verdi;\\n\\t}\",\n \"public int getFaceCount() {\\n \\tif (indicesBuf == null)\\n \\t\\treturn 0;\\n \\tif(STRIPFLAG){\\n \\t\\treturn indicesBuf.asShortBuffer().limit();\\n \\t}else{\\n \\t\\treturn indicesBuf.asShortBuffer().limit()/3;\\n \\t}\\n }\",\n \"public List<FamilyMember> listAllFamilyMembers() {\\n if (isFamilyMemberMapNullOrEmpty(familyMemberMap)) {\\n return new ArrayList<>();\\n }\\n return new ArrayList<>(familyMemberMap.values());\\n }\",\n \"public void checkFaces()\\n\\tthrows InconsistencyException\\n\\t{\\n\\t\\t// first check if faces is non-null\\n\\t\\tif(faces == null)\\n\\t\\t\\tthrow new InconsistencyException(\\\"The ArrayList faces should be non-null, but is null.\\\");\\n\\n\\t\\t// check that all vertices are referenced at least three times, as each is the vertex of at least one simplex\\n\\t\\t// and in each simplex three faces meet at each vertex;\\n\\t\\t// also check that all edges are referenced at least two times\\n\\t\\t\\n\\t\\t// create an array of ints that will hold the number of references to each vertex in the list of faces...\\n\\t\\tint[] vertexReferences = new int[vertices.size()];\\n\\t\\t// ... and one that will hold the number of references to each edge...\\n\\t\\tint[] edgeReferences = new int[edges.size()];\\n\\t\\t\\n\\t\\t// ... and set all these reference counts initially to zero\\n\\t\\tfor(int i=0; i<vertexReferences.length; i++) vertexReferences[i] = 0;\\n\\t\\tfor(int i=0; i<edgeReferences.length; i++) edgeReferences[i] = 0;\\n\\t\\t\\n\\t\\t// go through all faces...\\n\\t\\tfor(Face face:faces)\\n\\t\\t{\\n\\t\\t\\t// go through all three vertices...\\n\\t\\t\\tfor(int i=0; i<3; i++)\\n\\t\\t\\t\\t// ... and increase the reference count of the vertex by 1\\n\\t\\t\\t\\tvertexReferences[face.getVertexIndices()[i]]++;\\n\\t\\t\\t// note that any vertex indices that are out of bounds will throw up an error here!\\n\\n\\t\\t\\t// go through all three edges...\\n\\t\\t\\tfor(int i=0; i<3; i++)\\n\\t\\t\\t\\t// ... and increase the reference count of the edge by 1\\n\\t\\t\\t\\tedgeReferences[face.getEdgeIndices()[i]]++;\\n\\t\\t\\t// note that any vertex indices that are out of bounds will throw up an error here!\\n\\t\\t}\\n\\n\\t\\t// check that all vertex reference counts are >= 3\\n\\t\\tfor(int i=0; i<vertexReferences.length; i++)\\n\\t\\t{\\n\\t\\t\\tif(vertexReferences[i] < 3)\\n\\t\\t\\t{\\n\\t\\t\\t\\t// vertex i is referenced fewer than 3 times\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t// throw an InconsistencyException\\n\\t\\t\\t\\tthrow(new InconsistencyException(\\\"Vertex #\\\" + i + \\\" should be referenced in the list of faces >= 3 times, but is referenced only \\\" + vertexReferences[i] + \\\" times.\\\"));\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\t// check that all edge reference counts are >= 2\\n\\t\\tfor(int i=0; i<edgeReferences.length; i++)\\n\\t\\t{\\n\\t\\t\\tif(edgeReferences[i] < 2)\\n\\t\\t\\t{\\n\\t\\t\\t\\t// edge i is referenced fewer than 2 times\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t// throw an InconsistencyException\\n\\t\\t\\t\\tthrow(new InconsistencyException(\\\"Edge #\\\" + i + \\\" should be referenced in the list of faces >= 2 times, but is referenced only \\\" + edgeReferences[i] + \\\" times.\\\"));\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\",\n \"public ArrayList<Familymember> getMyFamilymembers() {\\n\\t\\treturn myFamilymembers;\\n\\t}\",\n \"public String getFace()\\r\\n {\\r\\n face = \\\"[\\\";\\r\\n if (color != \\\"none\\\")\\r\\n {\\r\\n face += this.color + \\\" \\\";\\r\\n }\\r\\n // Switch sttements to set diffrent faces \\r\\n switch(this.value)\\r\\n {\\r\\n default: face += String.valueOf(this.value); \\r\\n break;\\r\\n case 10: face += \\\"Skip\\\"; \\r\\n break;\\r\\n case 11: face += \\\"Reverse\\\"; \\r\\n break;\\r\\n case 12: face += \\\"Draw 2\\\"; \\r\\n break;\\r\\n case 13: face += \\\"Wild\\\"; \\r\\n break;\\r\\n case 14: face += \\\"Wild Draw 4\\\"; \\r\\n break;\\r\\n }\\r\\n face += \\\"]\\\";\\r\\n return face;\\r\\n }\",\n \"public Vector3f[] getFaceVertices(int faceNumber) {\\n\\n\\t\\tint segmentNumber = 0;\\n\\n\\t\\tint indexNumber = faceNumber;\\n\\n\\t\\t// debug.println(\\\"segmentNumber, indexNumber = \\\" + segmentNumber + \\\" \\\" +\\n\\t\\t// indexNumber);\\n\\n\\t\\twhile (indexNumber >= getIndexCountInSegment(segmentNumber)) {\\n\\t\\t\\tindexNumber -= getIndexCountInSegment(segmentNumber);\\n\\t\\t\\tsegmentNumber++;\\n\\t\\t}\\n\\n\\t\\t// debug.println(\\\"segmentNumber, indexNumber = \\\" + segmentNumber + \\\" \\\" +\\n\\t\\t// indexNumber);\\n\\n\\t\\tint[] vertindexes = getModelVerticeIndicesInSegment(segmentNumber, indexNumber);\\n\\n\\t\\t// parent.println(vertindexes);\\n\\n\\t\\tVector3f[] tmp = new Vector3f[vertindexes.length];\\n\\n\\t\\tfor (int i = 0; i < tmp.length; i++) {\\n\\t\\t\\ttmp[i] = new Vector3f();\\n\\t\\t\\ttmp[i].set(getModelVertice(vertindexes[i]));\\n\\t\\t}\\n\\n\\t\\treturn tmp;\\n\\t}\",\n \"@Override\\r\\n public void onSuccess(List<Face> faces) {\\n detectFaces(faces, mutableImage);\\r\\n hideProgress();\\r\\n bottom_sheet_recycler.getAdapter().notifyDataSetChanged();\\r\\n bottomSheetBehavior.setState(BottomSheetBehavior.STATE_EXPANDED);\\r\\n\\r\\n faceDetectionCameraView.stop();\\r\\n\\r\\n imageView.setVisibility(View.VISIBLE);\\r\\n imageView.setImageBitmap(mutableImage);\\r\\n }\",\n \"public Observable<ServiceResponse<FoundFacesInner>> findFacesWithServiceResponseAsync(Boolean cacheImage) {\\n if (this.client.baseUrl() == null) {\\n throw new IllegalArgumentException(\\\"Parameter this.client.baseUrl() is required and cannot be null.\\\");\\n }\\n String parameterizedHost = Joiner.on(\\\", \\\").join(\\\"{baseUrl}\\\", this.client.baseUrl());\\n return service.findFaces(cacheImage, this.client.acceptLanguage(), parameterizedHost, this.client.userAgent())\\n .flatMap(new Func1<Response<ResponseBody>, Observable<ServiceResponse<FoundFacesInner>>>() {\\n @Override\\n public Observable<ServiceResponse<FoundFacesInner>> call(Response<ResponseBody> response) {\\n try {\\n ServiceResponse<FoundFacesInner> clientResponse = findFacesDelegate(response);\\n return Observable.just(clientResponse);\\n } catch (Throwable t) {\\n return Observable.error(t);\\n }\\n }\\n });\\n }\",\n \"public ArrayList<String[]> getFavoritePairs() {\\n ArrayList<String[]> favPairs = new ArrayList<>();\\n for(Landmark landmark : landmarks.getFavorites()) {\\n favPairs.add(new String[]{landmark.getName(), landmark.getLocation().toString(), landmark.getDescription()});\\n }\\n return favPairs;\\n }\",\n \"public FaceRectangle faceRectangle() {\\n return this.faceRectangle;\\n }\",\n \"public ArrayList<FraisHF> getListFraisH() {\\n return listeFraisHf;\\n }\",\n \"public static BufferedImage detectFace(BufferedImage newPhoto) {\\n\\t\\tIplImage faceImage = IplImage.createFrom(newPhoto);\\n\\t\\tCvHaarClassifierCascade cascade = new CvHaarClassifierCascade(cvLoad(\\\"res/haarcascade_frontalface_default.xml\\\"));\\n\\t\\tCvMemStorage storage = CvMemStorage.create();\\n\\t\\tCvSeq sign = cvHaarDetectObjects(faceImage, cascade, storage, 1.1, 3, CV_HAAR_DO_CANNY_PRUNING);\\n\\t\\tcvClearMemStorage(storage);\\n\\t\\t\\n\\t\\t//if not faces detected, returns null.\\n\\t\\tif (sign.total() == 0){\\n\\t\\t\\tnewPhoto = null;\\n\\t\\t\\tSystem.out.println(\\\"No Face\\\");\\n\\t\\t}\\n\\t\\t\\n\\t\\telse {\\n\\t\\t\\tIplImage newImage; //IplImage used to temporarily hold the face\\n\\t\\t\\tint biggest = 0; //location of biggest face\\n\\t\\t\\tint biggestSize = 0; //height of biggest face\\n\\t\\t\\tCvRect r;\\n\\t\\t\\tfor (int i = 0; i < sign.total(); i++){\\n\\t\\t\\t\\tr = new CvRect(cvGetSeqElem(sign, i));\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tif (r.height() > biggestSize){\\n\\t\\t\\t\\t\\tbiggest = i;\\n\\t\\t\\t\\t\\tbiggestSize = r.height();\\n\\t\\t\\t\\t}\\n\\t\\n\\t\\t\\t}\\n\\t\\t\\tcvResetImageROI(faceImage);\\n\\t\\t\\tr = new CvRect(cvGetSeqElem(sign, biggest));\\n\\t\\t\\tcvSetImageROI(faceImage, r);\\n\\t\\t\\t//sets size of newImage to same as face\\n\\t\\t\\tnewImage = cvCreateImage(cvGetSize(faceImage), faceImage.depth(), faceImage.nChannels());\\n\\t\\t\\t//Copies the face into newImage\\n\\t\\t\\tcvCopy(faceImage, newImage);\\n\\t\\t\\tcvResetImageROI(faceImage);\\n\\t\\t\\t//Converts back to BufferedImage\\n\\t\\t\\tnewPhoto = newImage.getBufferedImage();\\n\\t\\t}\\n\\t\\t//If null = no faces detected\\n\\t\\treturn newPhoto;\\n\\t}\",\n \"public List<FacetRequest> facets() {\\n return this.facets;\\n }\",\n \"String[] getFamilyNames() {\\n\\t\\treturn this.familyMap.keySet().toArray(new String[this.familyMap.size()]);\\n\\t}\",\n \"@Override\\n protected Face[] doInBackground(InputStream... params) {\\n FaceServiceClient faceServiceClient = SampleApp.getFaceServiceClient();\\n try {\\n publishProgress(\\\"Detecting...\\\");\\n\\n // Start detection.\\n return faceServiceClient.detect(\\n params[0], /* Input stream of image to detect */\\n true, /* Whether to return face ID */\\n true, /* Whether to return face landmarks */\\n /* Which face attributes to analyze, currently we support:\\n age,gender,headPose,smile,facialHair */\\n new FaceServiceClient.FaceAttributeType[]{\\n FaceServiceClient.FaceAttributeType.Age,\\n FaceServiceClient.FaceAttributeType.Gender,\\n FaceServiceClient.FaceAttributeType.Smile,\\n FaceServiceClient.FaceAttributeType.Glasses,\\n FaceServiceClient.FaceAttributeType.FacialHair,\\n FaceServiceClient.FaceAttributeType.Emotion,\\n FaceServiceClient.FaceAttributeType.HeadPose,\\n FaceServiceClient.FaceAttributeType.Accessories,\\n FaceServiceClient.FaceAttributeType.Blur,\\n FaceServiceClient.FaceAttributeType.Exposure,\\n FaceServiceClient.FaceAttributeType.Hair,\\n FaceServiceClient.FaceAttributeType.Makeup,\\n FaceServiceClient.FaceAttributeType.Noise,\\n FaceServiceClient.FaceAttributeType.Occlusion\\n });\\n\\n\\n } catch (Exception e) {\\n mSucceed = false;\\n publishProgress(e.getMessage());\\n return null;\\n }\\n }\",\n \"java.util.List<org.landxml.schema.landXML11.FeatureDocument.Feature> getFeatureList();\",\n \"java.util.List<org.landxml.schema.landXML11.FeatureDocument.Feature> getFeatureList();\",\n \"public static ArrayList<String> getColorsDetected() {\\n return colorsDetected;\\n }\",\n \"@Override\\n protected Face[] doInBackground(InputStream... params) {\\n FaceServiceClient faceServiceClient = SampleApp.getFaceServiceClient();\\n try {\\n publishProgress(\\\"Detecting...\\\");\\n\\n // Start detection.\\n return faceServiceClient.detect(\\n params[0], /* Input stream of image to detect */\\n true, /* Whether to return face ID */\\n true, /* Whether to return face landmarks */\\n /* Which face attributes to analyze, currently we support:\\n age,gender,headPose,smile,facialHair */\\n new FaceServiceClient.FaceAttributeType[] {\\n FaceServiceClient.FaceAttributeType.Age,\\n FaceServiceClient.FaceAttributeType.Gender,\\n FaceServiceClient.FaceAttributeType.Smile,\\n FaceServiceClient.FaceAttributeType.Glasses,\\n FaceServiceClient.FaceAttributeType.FacialHair,\\n FaceServiceClient.FaceAttributeType.Emotion,\\n FaceServiceClient.FaceAttributeType.HeadPose,\\n FaceServiceClient.FaceAttributeType.Accessories,\\n FaceServiceClient.FaceAttributeType.Blur,\\n FaceServiceClient.FaceAttributeType.Exposure,\\n FaceServiceClient.FaceAttributeType.Hair,\\n FaceServiceClient.FaceAttributeType.Makeup,\\n FaceServiceClient.FaceAttributeType.Noise,\\n FaceServiceClient.FaceAttributeType.Occlusion\\n });\\n } catch (Exception e) {\\n mSucceed = false;\\n publishProgress(e.getMessage());\\n return null;\\n }\\n }\",\n \"List<IShape> getVisibleShapes();\",\n \"public void inferFacesFromEdges()\\n\\tthrows InconsistencyException\\n\\t{\\n\\t\\t// first empty the list of faces\\n\\t\\tif(faces == null)\\n\\t\\t\\tfaces = new ArrayList<Face>();\\n\\t\\telse\\n\\t\\t\\tfaces.clear();\\n\\n\\t\\t// go through all vertices\\n\\t\\tfor(int v=0; v<vertices.size(); v++)\\n\\t\\t{\\n\\t\\t\\t// first find all edges with vertex #v and other vertex #w, where w>v\\n\\t\\t\\t// (if w<v, then that face will already have been detected earlier)...\\n\\t\\t\\t\\n\\t\\t\\t// ... by creating an array that will hold the edge indices...\\n\\t\\t\\tArrayList<Integer> indicesOfEdgesAtVertex = new ArrayList<Integer>();\\n\\t\\t\\t\\n\\t\\t\\t// ... and populating it by going through all the edges\\n\\t\\t\\tfor(int e=0; e<edges.size(); e++)\\n\\t\\t\\t{\\n\\t\\t\\t\\t// does edge #e start or finish at vertex #v, and if so is the index of the other vertex >v?\\n\\t\\t\\t\\tif(edges.get(e).getOtherVertexIndex(v) > v)\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\t// yes\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t// add it to the list of edges that start or finish at this vertex\\n\\t\\t\\t\\t\\tindicesOfEdgesAtVertex.add(e);\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\t// System.out.println(\\\"SimplicialComplex::inferFacesFromEdges: indices of edges meeting at vertex #\\\"+v+\\\": \\\" + indicesOfEdgesAtVertex.toString());\\n\\t\\t\\t\\n\\t\\t\\t// second, go through all pairs of edges that start or finish at vertex #v;\\n\\t\\t\\t// each such pair represents two of the three edges of a face that meets at vertex #v\\n\\t\\t\\tfor(int e1=0; e1<indicesOfEdgesAtVertex.size(); e1++)\\n\\t\\t\\t\\tfor(int e2=e1+1; e2<indicesOfEdgesAtVertex.size(); e2++)\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\t// create an empty face\\n\\t\\t\\t\\t\\tFace face = new Face(this);\\n\\t\\t\\t\\t\\t\\n//\\t\\t\\t\\t\\tSystem.out.println(\\\"SimplicialComplex::inferFacesFromEdges: e1=\\\" + e1 + \\\", e2=\\\" + e2);\\n//\\t\\t\\t\\t\\tSystem.out.println(\\\"SimplicialComplex::inferFacesFromEdges: edges: \\\"+edges.get(indicesOfEdgesAtVertex.get(e1)) + \\\", \\\" + edges.get(indicesOfEdgesAtVertex.get(e2)));\\n//\\t\\t\\t\\t\\tSystem.out.println(\\\"SimplicialComplex::inferFacesFromEdges: other vertex indices: \\\"+edges.get(indicesOfEdgesAtVertex.get(e1)).getOtherVertexIndex(v) + \\\", \\\" + edges.get(indicesOfEdgesAtVertex.get(e2)).getOtherVertexIndex(v));\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t// set the face's vertex indices...\\n\\t\\t\\t\\t\\tface.setVertexIndices(v, edges.get(indicesOfEdgesAtVertex.get(e1)).getOtherVertexIndex(v), edges.get(indicesOfEdgesAtVertex.get(e2)).getOtherVertexIndex(v));\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t// ... and from these infer the edge indices\\n\\t\\t\\t\\t\\ttry {\\n\\t\\t\\t\\t\\t\\t// see if it is possible to infer the edges...\\n\\t\\t\\t\\t\\t\\tface.inferEdgeIndices();\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t// ... and if it is, add the face to the list of faces\\n\\t\\t\\t\\t\\t\\tfaces.add(face);\\n\\t\\t\\t\\t\\t} catch (InconsistencyException e) {}\\n\\t\\t\\t\\t}\\n\\t\\t}\\n\\t}\",\n \"List<Feature> getFeatures();\",\n \"public Set<Frage> getAlleFragen() {\\r\\n Set<Frage> result = new HashSet<Frage>();\\r\\n Set<FrageDTO> fragen = dataStore.getAlleFragen();\\r\\n for (FrageDTO dto : fragen) {\\r\\n int frageId = dto.getId();\\r\\n List<String> antworten = dataStore.getAntwortenById(frageId);\\r\\n List<Integer> votes = dataStore.getVotings(frageId);\\r\\n Frage frage = new Frage(dto.getId(), dto.getText(),\\r\\n dto.getStatus(), antworten, votes);\\r\\n result.add(frage);\\r\\n }\\r\\n return result;\\r\\n }\",\n \"public List<FrameFaceRects> getFaceRects(long startTime, long endTime) {\\n if(frameDataMap == null){\\n return Collections.emptyList();\\n }\\n List<FrameFaceRects> result = new ArrayList<>();\\n final int size = frameDataMap.size();\\n for (int i = 0; i < size ; i++) {\\n long key = CommonUtils.timeToFrame(frameDataMap.keyAt(i), TimeUnit.SECONDS);\\n if(key >= startTime && key <= endTime){\\n FrameFaceRects faceRects = frameDataMap.valueAt(i).getFaceRects();\\n if(faceRects != null) {\\n result.add(faceRects);\\n }\\n }\\n }\\n return result;\\n }\",\n \"public static String[] getFamilyNames() {\\n if (fonts == null) {\\n getAllFonts();\\n }\\n\\n return (String[]) families.toArray(new String[0]);\\n }\",\n \"@Override\\n public void onUpdate(FaceDetector.Detections<Face> detectionResults, Face face)\\n {\\n int facesFound = detectionResults.getDetectedItems().size();\\n\\n faceTrackingListener.onFaceDetected(facesFound);\\n }\",\n \"public Set<VCube> getSupportedCubes();\",\n \"public FriendList[] getFriendsLists();\",\n \"boolean hasFaceUp();\",\n \"public List<FactoryArrayStorage<?>> getVertices() {\\n return mFactoryVertices;\\n }\",\n \"@DISPID(1610940431) //= 0x6005000f. The runtime will prefer the VTID if present\\n @VTID(37)\\n Collection userSurfaces();\",\n \"public List<FacesMessage> getMessages() {\\n return FxJsfUtils.getMessages(null);\\n }\",\n \"public void startFaceDetection() {\\n /*\\n r6 = this;\\n r0 = r6.mFaceDetectionStarted;\\n if (r0 != 0) goto L_0x004a;\\n L_0x0004:\\n r0 = r6.mCameraDevice;\\n if (r0 == 0) goto L_0x004a;\\n L_0x0008:\\n r0 = r6.needFaceDetection();\\n if (r0 != 0) goto L_0x000f;\\n L_0x000e:\\n goto L_0x004a;\\n L_0x000f:\\n r0 = r6.mCameraCapabilities;\\n r0 = r0.getMaxNumOfFacesSupported();\\n if (r0 <= 0) goto L_0x0049;\\n L_0x0017:\\n r0 = 1;\\n r6.mFaceDetectionStarted = r0;\\n r1 = r6.mCameraDevice;\\n r2 = r6.mHandler;\\n r3 = r6.mUI;\\n r1.setFaceDetectionCallback(r2, r3);\\n r1 = r6.mUI;\\n r2 = r6.mDisplayOrientation;\\n r3 = r6.isCameraFrontFacing();\\n r4 = r6.mCameraId;\\n r4 = r6.cropRegionForZoom(r4);\\n r5 = 1065353216; // 0x3f800000 float:1.0 double:5.263544247E-315;\\n r1.onStartFaceDetection(r2, r3, r4, r5);\\n r1 = TAG;\\n r2 = \\\"startFaceDetection\\\";\\n com.hmdglobal.app.camera.debug.Log.w(r1, r2);\\n r1 = r6.mCameraDevice;\\n r1.startFaceDetection();\\n r1 = com.hmdglobal.app.camera.util.SessionStatsCollector.instance();\\n r1.faceScanActive(r0);\\n L_0x0049:\\n return;\\n L_0x004a:\\n return;\\n */\\n throw new UnsupportedOperationException(\\\"Method not decompiled: com.hmdglobal.app.camera.PhotoModule.startFaceDetection():void\\\");\\n }\",\n \"public Fence[] getAllFences() {\\n/* 622 */ Set<Fence> fenceSet = new HashSet<>();\\n/* 623 */ if (this.fences != null)\\n/* */ {\\n/* 625 */ for (Fence f : this.fences.values())\\n/* */ {\\n/* 627 */ fenceSet.add(f);\\n/* */ }\\n/* */ }\\n/* */ \\n/* 631 */ VolaTile eastTile = this.zone.getTileOrNull(this.tilex + 1, this.tiley);\\n/* 632 */ if (eastTile != null) {\\n/* */ \\n/* 634 */ Fence[] eastFences = eastTile.getFencesForDir(Tiles.TileBorderDirection.DIR_DOWN);\\n/* 635 */ for (int x = 0; x < eastFences.length; x++)\\n/* */ {\\n/* 637 */ fenceSet.add(eastFences[x]);\\n/* */ }\\n/* */ } \\n/* */ \\n/* 641 */ VolaTile southTile = this.zone.getTileOrNull(this.tilex, this.tiley + 1);\\n/* 642 */ if (southTile != null) {\\n/* */ \\n/* 644 */ Fence[] southFences = southTile.getFencesForDir(Tiles.TileBorderDirection.DIR_HORIZ);\\n/* 645 */ for (int x = 0; x < southFences.length; x++)\\n/* */ {\\n/* 647 */ fenceSet.add(southFences[x]);\\n/* */ }\\n/* */ } \\n/* */ \\n/* 651 */ if (fenceSet.size() == 0) {\\n/* 652 */ return emptyFences;\\n/* */ }\\n/* 654 */ return fenceSet.<Fence>toArray(new Fence[fenceSet.size()]);\\n/* */ }\",\n \"public void recognize(){\\n\\t String dirOfFace =\\\".\\\\\\\\Faces\\\";\\n\\t String dirOfTestFaces =\\\".\\\\\\\\TestFaces\\\";\\n\\t \\n\\t File root = new File(dirOfFace);\\n File Testfaces = new File(dirOfTestFaces);\\n FilenameFilter imgFilter = new FilenameFilter() {\\n\\n public boolean accept(File dir, String name) {\\n\\n name = name.toLowerCase();\\n\\n return name.endsWith(\\\".jpg\\\") || name.endsWith(\\\".pgm\\\") || name.endsWith(\\\".png\\\");\\n\\n }\\n\\n };\\n \\n File[] imageFiles = Testfaces.listFiles(imgFilter);\\n for (File image : imageFiles) {\\n Recognizer fd = new Recognizer();\\n int rollno=0;\\n rollno = fd.returnPredict(image,root);\\n System.out.println(rollno);\\n try {\\n db.AttendenceTable(rollno);\\n } catch (ClassNotFoundException ex) {\\n JOptionPane.showMessageDialog(null, ex);\\n }\\n }\\n\\n\\n }\",\n \"public ArrayList<String> loadFavorites() {\\n\\n\\t\\tSAVE_FILE = FAVORITE_FILE;\\n\\t\\tArrayList<String> list = new ArrayList<String>();\\n\\t\\tlist = loadIds();\\n\\t\\treturn list;\\n\\t}\",\n \"public java.util.List<V> getVertices();\",\n \"boolean getFaceDetectionPref();\",\n \"public interface FaceTrackingListener {\\n void onFaceLeftMove();\\n void onFaceRightMove();\\n void onFaceUpMove();\\n void onFaceDownMove();\\n void onGoodSmile();\\n void onEyeCloseError();\\n void onMouthOpenError();\\n void onMultipleFaceError();\\n\\n}\",\n \"public void FPrimeEvent(ArrayList<ArrayList<Shape>> faces) {\\r\\n \\tint u1 = CUBE7, l1 = CUBE9, r1 = CUBE1, b1 = CUBE3;\\r\\n \\tfor(int i = 0; i < 3; i++) {\\r\\n \\t\\tColor color = faces.get(TOP).get(u1).getColor();\\r\\n \\tfaces.get(TOP).get(u1).changeColor(faces.get(RIGHT).get(r1).getColor());\\r\\n \\tfaces.get(RIGHT).get(r1).changeColor(faces.get(BOTTOM).get(b1).getColor());\\r\\n \\tfaces.get(BOTTOM).get(b1).changeColor(faces.get(LEFT).get(l1).getColor());\\r\\n \\tfaces.get(LEFT).get(l1).changeColor(color);\\r\\n \\tu1++;\\r\\n \\tl1 -= SHIFT_ROW;\\r\\n \\tb1--;\\r\\n \\tr1 += SHIFT_ROW;\\r\\n \\t} \\r\\n \\r\\n \\tColor color = faces.get(FRONT).get(CUBE1).getColor();\\r\\n \\tfaces.get(FRONT).get(CUBE1).changeColor(faces.get(FRONT).get(CUBE3).getColor());\\r\\n \\tfaces.get(FRONT).get(CUBE3).changeColor(faces.get(FRONT).get(CUBE9).getColor());\\r\\n \\tfaces.get(FRONT).get(CUBE9).changeColor(faces.get(FRONT).get(CUBE7).getColor());\\r\\n \\tfaces.get(FRONT).get(CUBE7).changeColor(color);\\r\\n \\tcolor = faces.get(FRONT).get(CUBE2).getColor();\\r\\n \\tfaces.get(FRONT).get(CUBE2).changeColor(faces.get(FRONT).get(CUBE6).getColor());\\r\\n \\tfaces.get(FRONT).get(CUBE6).changeColor(faces.get(FRONT).get(CUBE8).getColor());\\r\\n \\tfaces.get(FRONT).get(CUBE8).changeColor(faces.get(FRONT).get(CUBE4).getColor());\\r\\n \\tfaces.get(FRONT).get(CUBE4).changeColor(color);\\r\\n }\",\n \"public FamilyInfo[] getFamilyInfo() {\\n return familyInfo;\\n }\",\n \"public ArrayList<Collidable> getNeighbors();\",\n \"public Figure[] getFigures() {\\n return figures;\\n }\",\n \"public static List<IEssence> getRegisteredEssences() {\\n ArrayList<IEssence> essences = new ArrayList();\\n MagicStaffs.ITEMS\\n .stream()\\n .filter(item -> item instanceof IEssence)\\n .forEach(item -> essences.add((IEssence) item));\\n return essences;\\n }\",\n \"public boolean needFaceDetection() {\\n return true;\\n }\",\n \"java.util.List<message.Figure.FigureData.FigureBase> \\n getFigureListList();\",\n \"public static ArrayList<FamilyType> getAvailableFamilies() {\\n ArrayList<FamilyType> allFamilies = new ArrayList<FamilyType>();\\n File dir = new File(getRapidSmithPath() + File.separator + \\\"devices\\\");\\n if (!dir.exists()) {\\n MessageGenerator.briefErrorAndExit(\\\"ERROR: No part files exist. Please run \\\" +\\n Installer.class.getCanonicalName() + \\\" to create part files.\\\");\\n }\\n for (String partFamily : dir.list()) {\\n FamilyType type = PartNameTools.getFamilyTypeFromFamilyName(partFamily);\\n if (type != null) allFamilies.add(type);\\n }\\n\\n return allFamilies;\\n }\",\n \"java.util.List<uk.ac.cam.acr31.features.javac.proto.GraphProtos.FeatureEdge> \\n getEdgeList();\",\n \"protected abstract void setFaces();\",\n \"public java.util.List<org.landxml.schema.landXML11.FeatureDocument.Feature> getFeatureList()\\r\\n {\\r\\n final class FeatureList extends java.util.AbstractList<org.landxml.schema.landXML11.FeatureDocument.Feature>\\r\\n {\\r\\n public org.landxml.schema.landXML11.FeatureDocument.Feature get(int i)\\r\\n { return IntersectionImpl.this.getFeatureArray(i); }\\r\\n \\r\\n public org.landxml.schema.landXML11.FeatureDocument.Feature set(int i, org.landxml.schema.landXML11.FeatureDocument.Feature o)\\r\\n {\\r\\n org.landxml.schema.landXML11.FeatureDocument.Feature old = IntersectionImpl.this.getFeatureArray(i);\\r\\n IntersectionImpl.this.setFeatureArray(i, o);\\r\\n return old;\\r\\n }\\r\\n \\r\\n public void add(int i, org.landxml.schema.landXML11.FeatureDocument.Feature o)\\r\\n { IntersectionImpl.this.insertNewFeature(i).set(o); }\\r\\n \\r\\n public org.landxml.schema.landXML11.FeatureDocument.Feature remove(int i)\\r\\n {\\r\\n org.landxml.schema.landXML11.FeatureDocument.Feature old = IntersectionImpl.this.getFeatureArray(i);\\r\\n IntersectionImpl.this.removeFeature(i);\\r\\n return old;\\r\\n }\\r\\n \\r\\n public int size()\\r\\n { return IntersectionImpl.this.sizeOfFeatureArray(); }\\r\\n \\r\\n }\\r\\n \\r\\n synchronized (monitor())\\r\\n {\\r\\n check_orphaned();\\r\\n return new FeatureList();\\r\\n }\\r\\n }\",\n \"public void startFaceDetection() {\\n /*\\n r4 = this;\\n r0 = r4.mFaceDetectionStarted;\\n if (r0 != 0) goto L_0x0036;\\n L_0x0004:\\n r0 = r4.mCameraDevice;\\n if (r0 == 0) goto L_0x0036;\\n L_0x0008:\\n r0 = r4.needFaceDetection();\\n if (r0 != 0) goto L_0x000f;\\n L_0x000e:\\n goto L_0x0036;\\n L_0x000f:\\n r0 = r4.mCameraCapabilities;\\n r0 = r0.getMaxNumOfFacesSupported();\\n if (r0 <= 0) goto L_0x0035;\\n L_0x0017:\\n r0 = 1;\\n r4.mFaceDetectionStarted = r0;\\n r1 = TAG;\\n r2 = \\\"startFaceDetection\\\";\\n com.hmdglobal.app.camera.debug.Log.w(r1, r2);\\n r1 = r4.mCameraDevice;\\n r2 = r4.mHandler;\\n r3 = 0;\\n r1.setFaceDetectionCallback(r2, r3);\\n r1 = r4.mCameraDevice;\\n r1.startFaceDetection();\\n r1 = com.hmdglobal.app.camera.util.SessionStatsCollector.instance();\\n r1.faceScanActive(r0);\\n L_0x0035:\\n return;\\n L_0x0036:\\n return;\\n */\\n throw new UnsupportedOperationException(\\\"Method not decompiled: com.hmdglobal.app.camera.VideoModule.startFaceDetection():void\\\");\\n }\",\n \"public Fence[] getFencesForDir(Tiles.TileBorderDirection dir) {\\n/* 713 */ if (this.fences != null) {\\n/* */ \\n/* 715 */ Set<Fence> fenceSet = new HashSet<>();\\n/* 716 */ for (Fence f : this.fences.values()) {\\n/* */ \\n/* 718 */ if (f.getDir() == dir)\\n/* 719 */ fenceSet.add(f); \\n/* */ } \\n/* 721 */ return fenceSet.<Fence>toArray(new Fence[fenceSet.size()]);\\n/* */ } \\n/* */ \\n/* 724 */ return emptyFences;\\n/* */ }\",\n \"public List<EnumerationValue> getGenders()\\r\\n\\t{\\r\\n\\t\\treturn getGenders( getSession().getSessionContext() );\\r\\n\\t}\",\n \"public RubiksFace getRubiksFace(RubiksFace.RubiksFacePosition position) {\\n for (RubiksFace face : rubiksFaceList) {\\n if (face.getFacePosition() == position) {\\n return face;\\n }\\n }\\n\\n return null;\\n }\",\n \"public int getFaceValue ()\\n {\\n return faceValue;\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7671269","0.74346423","0.7110249","0.69152063","0.6914806","0.6282762","0.6270876","0.6183134","0.6173269","0.59021","0.57824975","0.573041","0.56643003","0.564971","0.5503765","0.5503765","0.5493121","0.5472918","0.54561985","0.54503137","0.5445359","0.5438217","0.5424949","0.53719544","0.5351843","0.5326439","0.5326068","0.53090054","0.53023833","0.5296062","0.5295592","0.5272549","0.5265757","0.52628744","0.5261844","0.5258342","0.52380085","0.523216","0.5228622","0.5220437","0.5211711","0.51961994","0.519323","0.51793844","0.51790965","0.5144855","0.5139445","0.51311815","0.51278555","0.51215196","0.5099933","0.5098753","0.50799763","0.50187486","0.5003311","0.49902925","0.49665478","0.49383876","0.4935045","0.49341398","0.49158943","0.49131832","0.49131832","0.48941943","0.48933253","0.4861942","0.48613474","0.4856936","0.4849662","0.4838657","0.48326936","0.48268154","0.48206407","0.48178247","0.48174852","0.4817468","0.47712275","0.4767462","0.47658026","0.47595116","0.47519153","0.47490704","0.4739418","0.47358188","0.4735485","0.4734326","0.47309512","0.4717867","0.4716547","0.47137016","0.4708087","0.4707141","0.47064495","0.4699346","0.46987182","0.46968743","0.4692541","0.46819395","0.46757564","0.4675456","0.46662667"],"string":"[\n \"0.7671269\",\n \"0.74346423\",\n \"0.7110249\",\n \"0.69152063\",\n \"0.6914806\",\n \"0.6282762\",\n \"0.6270876\",\n \"0.6183134\",\n \"0.6173269\",\n \"0.59021\",\n \"0.57824975\",\n \"0.573041\",\n \"0.56643003\",\n \"0.564971\",\n \"0.5503765\",\n \"0.5503765\",\n \"0.5493121\",\n \"0.5472918\",\n \"0.54561985\",\n \"0.54503137\",\n \"0.5445359\",\n \"0.5438217\",\n \"0.5424949\",\n \"0.53719544\",\n \"0.5351843\",\n \"0.5326439\",\n \"0.5326068\",\n \"0.53090054\",\n \"0.53023833\",\n \"0.5296062\",\n \"0.5295592\",\n \"0.5272549\",\n \"0.5265757\",\n \"0.52628744\",\n \"0.5261844\",\n \"0.5258342\",\n \"0.52380085\",\n \"0.523216\",\n \"0.5228622\",\n \"0.5220437\",\n \"0.5211711\",\n \"0.51961994\",\n \"0.519323\",\n \"0.51793844\",\n \"0.51790965\",\n \"0.5144855\",\n \"0.5139445\",\n \"0.51311815\",\n \"0.51278555\",\n \"0.51215196\",\n \"0.5099933\",\n \"0.5098753\",\n \"0.50799763\",\n \"0.50187486\",\n \"0.5003311\",\n \"0.49902925\",\n \"0.49665478\",\n \"0.49383876\",\n \"0.4935045\",\n \"0.49341398\",\n \"0.49158943\",\n \"0.49131832\",\n \"0.49131832\",\n \"0.48941943\",\n \"0.48933253\",\n \"0.4861942\",\n \"0.48613474\",\n \"0.4856936\",\n \"0.4849662\",\n \"0.4838657\",\n \"0.48326936\",\n \"0.48268154\",\n \"0.48206407\",\n \"0.48178247\",\n \"0.48174852\",\n \"0.4817468\",\n \"0.47712275\",\n \"0.4767462\",\n \"0.47658026\",\n \"0.47595116\",\n \"0.47519153\",\n \"0.47490704\",\n \"0.4739418\",\n \"0.47358188\",\n \"0.4735485\",\n \"0.4734326\",\n \"0.47309512\",\n \"0.4717867\",\n \"0.4716547\",\n \"0.47137016\",\n \"0.4708087\",\n \"0.4707141\",\n \"0.47064495\",\n \"0.4699346\",\n \"0.46987182\",\n \"0.46968743\",\n \"0.4692541\",\n \"0.46819395\",\n \"0.46757564\",\n \"0.4675456\",\n \"0.46662667\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":12398,"cells":{"query":{"kind":"string","value":"Returns the list of faces found."},"document":{"kind":"string","value":"public Observable<ServiceResponse<FoundFacesInner>> findFacesUrlInputWithServiceResponseAsync(String contentType, BodyModelInner imageUrl, Boolean cacheImage) {\n if (this.client.baseUrl() == null) {\n throw new IllegalArgumentException(\"Parameter this.client.baseUrl() is required and cannot be null.\");\n }\n if (contentType == null) {\n throw new IllegalArgumentException(\"Parameter contentType is required and cannot be null.\");\n }\n if (imageUrl == null) {\n throw new IllegalArgumentException(\"Parameter imageUrl is required and cannot be null.\");\n }\n Validator.validate(imageUrl);\n String parameterizedHost = Joiner.on(\", \").join(\"{baseUrl}\", this.client.baseUrl());\n return service.findFacesUrlInput(cacheImage, contentType, imageUrl, this.client.acceptLanguage(), parameterizedHost, this.client.userAgent())\n .flatMap(new Func1<Response<ResponseBody>, Observable<ServiceResponse<FoundFacesInner>>>() {\n @Override\n public Observable<ServiceResponse<FoundFacesInner>> call(Response<ResponseBody> response) {\n try {\n ServiceResponse<FoundFacesInner> clientResponse = findFacesUrlInputDelegate(response);\n return Observable.just(clientResponse);\n } catch (Throwable t) {\n return Observable.error(t);\n }\n }\n });\n }"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["public Face[] getFaces() {\n return faces;\n }","static FaceSegment[] allFaces() {\n FaceSegment[] faces = new FaceSegment[6];\n for (int i = 0; i < faces.length; i++) {\n faces[i] = new FaceSegment();\n }\n return faces;\n }","public int[][] getFaces() {\n\t\treturn this.faces;\n\t}","public int faces() { \n return this.faces; \n }","public int getFaces() {\n return this.faces;\n }","public Rect[] getFaceRects()\n {\n final String funcName = \"getFaceRects\";\n\n if (debugEnabled)\n {\n dbgTrace.traceEnter(funcName, TrcDbgTrace.TraceLevel.API);\n dbgTrace.traceExit(funcName, TrcDbgTrace.TraceLevel.API);\n }\n\n return faceRects;\n }","public Observable<FoundFacesInner> findFacesAsync() {\n return findFacesWithServiceResponseAsync().map(new Func1<ServiceResponse<FoundFacesInner>, FoundFacesInner>() {\n @Override\n public FoundFacesInner call(ServiceResponse<FoundFacesInner> response) {\n return response.body();\n }\n });\n }","public int[] getFace() {\n\t\treturn this.face;\n\t}","public Observable<ServiceResponse<FoundFacesInner>> findFacesWithServiceResponseAsync() {\n if (this.client.baseUrl() == null) {\n throw new IllegalArgumentException(\"Parameter this.client.baseUrl() is required and cannot be null.\");\n }\n final Boolean cacheImage = null;\n String parameterizedHost = Joiner.on(\", \").join(\"{baseUrl}\", this.client.baseUrl());\n return service.findFaces(cacheImage, this.client.acceptLanguage(), parameterizedHost, this.client.userAgent())\n .flatMap(new Func1<Response<ResponseBody>, Observable<ServiceResponse<FoundFacesInner>>>() {\n @Override\n public Observable<ServiceResponse<FoundFacesInner>> call(Response<ResponseBody> response) {\n try {\n ServiceResponse<FoundFacesInner> clientResponse = findFacesDelegate(response);\n return Observable.just(clientResponse);\n } catch (Throwable t) {\n return Observable.error(t);\n }\n }\n });\n }","java.util.List getSurfaceRefs();","public int getFaceCount() {\r\n return faceCount;\r\n\t}","private Face chooseFace(ArrayList<Face> faces) {\n return faces.get(0);\n }","public ArrayList<Integer> getOutsideFaceIndices()\n\t{\n\t\t// now collect the indices of all faces that are referenced only once, i.e. the outside faces\n\t\tArrayList<Integer> outsideFaceIndices = new ArrayList<Integer>();\n\t\tfor(int i=0; i<faces.size(); i++)\n\t\t\t// is there exactly one reference to the face with index i?\n\t\t\tif(getFace(i).getNoOfFacesToOutside() == 0)\n\t\t\t\t// yes; add i to the list of outside-face indices\n\t\t\t\toutsideFaceIndices.add(i);\n\t\t\n\t\t// return the list of outside-face indices\n\t\treturn outsideFaceIndices;\n\t}","public int getFaceCount() {\n\t\tint count = 0;\n\n\t\tfor (int i = 0; i < getSegmentCount(); i++) {\n\t\t\tcount += getIndexCountInSegment(i);\n\t\t}\n\n\t\treturn count;\n\t}","public String getFace() {\r\n return face;\r\n }","public String getFace() {\r\n return face;\r\n }","public interface FaceFinder {\n\n public CvFace[] detectFace(Bitmap bitmap);\n\n}","private List<Vertice> pegaVerticesFolha() {\n List<Vertice> verticesFolha = new ArrayList<Vertice>();\n\n for (Vertice vertice : this.pegaTodosOsVerticesDoGrafo()) {\n if (this.getGrauDeSaida(vertice) == 0) {\n verticesFolha.add(vertice);\n }\n }\n\n return verticesFolha;\n }","public ArrayList< Card > getCheat() {\r\n ArrayList< Card > faces = new ArrayList<>();\r\n\r\n for ( Card card : cards ) {\r\n Card copy = new Card( card );\r\n copy.setFaceUp();\r\n faces.add( copy );\r\n }\r\n return faces;\r\n }","public FaceLandmarks faceLandmarks() {\n return this.faceLandmarks;\n }","private List<Bitmap> processFaceResult(List<FirebaseVisionFace> faces, FirebaseVisionImage image, boolean keepOriginal) {\n final int FACE_IMG_WIDTH = 160;\n final int FACE_IMG_HEIGHT = 160;\n\n List<Bitmap> facesInFrame = new ArrayList<>();\n for (FirebaseVisionFace face : faces) {\n Rect bounds = face.getBoundingBox();\n Bitmap bitmap = cropBitmap(image.getBitmap(), bounds);\n if(keepOriginal == false) {\n bitmap = Bitmap.createScaledBitmap(bitmap, FACE_IMG_WIDTH, FACE_IMG_HEIGHT, true);\n }\n facesInFrame.add(bitmap);\n\n }\n return facesInFrame;\n }","public String getFace() {\n\t\treturn face;\n\t}","public Face getFaceVitoriosa() {\n return faceVitoriosa;\n }","public int getFace() {\n\t\treturn face;\n\t}","private void faceDetection(){\n\n String haarPath = resToFile(R.raw.haarcascade_frontalface_default, \"haarcascade_frontalface_default.xml\");\n String testPicPath = resToFile(R.drawable.test_me, \"test_me.jpg\");\n\n CascadeClassifier faceDetector = new CascadeClassifier();\n Mat image = imread(testPicPath);\n boolean isEmpty = image.empty();\n\n faceDetector = new CascadeClassifier(haarPath);\n if(faceDetector.empty())\n {\n Log.v(\"MyActivity\",\"--(!)Error loading A\\n\");\n return;\n }\n else\n {\n Log.v(\"MyActivity\", \"Loaded cascade classifier from \" + haarPath);\n }\n\n //My Code\n MatOfRect faceDetections = new MatOfRect();\n faceDetector.detectMultiScale(image, faceDetections);\n\n System.out.println(String.format(\"Detected %s faces\", faceDetections.toArray().length));\n\n for (Rect rect : faceDetections.toArray()) {\n Imgproc.rectangle(image, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height),\n new Scalar(0, 255, 0));\n// Core.rectangle(image, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height),\n// new Scalar(0, 255, 0));\n }\n\n Bitmap bm = Bitmap.createBitmap(image.cols(), image.rows(), Bitmap.Config.ARGB_8888);\n Utils.matToBitmap(image, bm);\n\n ImageView imageView = (ImageView) findViewById(R.id.imageView);\n imageView.setImageBitmap(bm);\n }","public static String detectFacesGcs(String gcsPath) throws IOException {\n \tSystem.out.println(\"Enter Face detection\");\n List<AnnotateImageRequest> requests = new ArrayList<AnnotateImageRequest>();\n StringBuilder sb = new StringBuilder();\n ImageSource imgSource = ImageSource.newBuilder().setGcsImageUri(gcsPath).build();\n Image img = Image.newBuilder().setSource(imgSource).build();\n Feature feat = Feature.newBuilder().setType(Feature.Type.FACE_DETECTION).build();\n \n AnnotateImageRequest request =\n AnnotateImageRequest.newBuilder().addFeatures(feat).setImage(img).build();\n requests.add(request);\n try (ImageAnnotatorClient client = ImageAnnotatorClient.create()) {\n \t\tSystem.out.println(\" Face detection request sent\");\n BatchAnnotateImagesResponse response = client.batchAnnotateImages(requests);\n List<AnnotateImageResponse> responses = response.getResponsesList();\n System.out.println(\" Face detection response recieved\");\n for (AnnotateImageResponse res : responses) {\n if (res.hasError()) {\n System.out.format(\"Error: %s%n\", res.getError().getMessage());\n return \"\";\n }\n sb.append(\"{\");\n for (FaceAnnotation annotation : res.getFaceAnnotationsList()) {\n \t sb.append(\"\\\"anger\\\":\");sb.append('\"');\n \t sb.append(annotation.getAngerLikelihood().toString());\n \t sb.append('\"');sb.append(\",\");sb.append(\"\\\"joy\\\":\"); sb.append('\"');\n \t sb.append( annotation.getJoyLikelihood().toString());\n \t sb.append('\"'); sb.append(\",\");sb.append(\"\\\"suprise\\\":\");sb.append('\"');\n \t sb.append(annotation.getSurpriseLikelihood().toString());\n \t sb.append('\"');\n }\n sb.append(\"}\");}}return sb.toString();}","static Bitmap detectfaces(Context context, Bitmap bitmap){\n Timber.d(\" timber start building DETECTOR\");\n FaceDetector detector=new FaceDetector.Builder(context)\n .setTrackingEnabled(false)\n .setClassificationType(FaceDetector.ALL_CLASSIFICATIONS)\n .build();\n// detector.setProcessor(\n// new MultiProcessor.Builder<>(new GraphicFaceTrackerFactory())\n// .build());\n Timber.d(\" timber END building DETECTOR\");\n Bitmap resultBitmap = bitmap;\n if(detector.isOperational()) {\n Frame frame = new Frame.Builder().setBitmap(bitmap).build();\n Timber.d(\" timber START DETECTING FACES DETECTOR\");\n SparseArray<Face> faces = detector.detect(frame);\n Timber.d(\" timber END DETECTING FACES DETECTOR\");\n\n\n Timber.d(\"size of faces\" + faces.size());\n // Toast.makeText(context,\"number of faces detected = \"+faces.size(),Toast.LENGTH_LONG).show();\n if (faces.size() == 0) {\n Toast.makeText(context, \"No faces detected\", Toast.LENGTH_SHORT).show();\n } else {\n for (int i = 0; i < faces.size(); i++) {\n Face face = faces.valueAt(i);\n // getProbability(face);\n Emoji emo = whichEmoji(face);\n Bitmap emojibitmap;\n switch (emo) {\n case SMILE:\n emojibitmap = BitmapFactory.decodeResource(context.getResources(), R.drawable.smile);\n break;\n\n case RIGHT_WINK:\n emojibitmap = BitmapFactory.decodeResource(context.getResources(), R.drawable.rightwink);\n break;\n\n case LEFT_WINK:\n emojibitmap = BitmapFactory.decodeResource(context.getResources(), R.drawable.leftwink);\n break;\n\n case CLOSED_EYE_SMILE:\n emojibitmap = BitmapFactory.decodeResource(context.getResources(), R.drawable.closed_smile);\n break;\n\n case FROWN:\n emojibitmap = BitmapFactory.decodeResource(context.getResources(), R.drawable.frown);\n break;\n\n case LEFT_WINK_FROWN:\n emojibitmap = BitmapFactory.decodeResource(context.getResources(), R.drawable.leftwinkfrown);\n break;\n\n case RIGHT_WINK_FROWN:\n emojibitmap = BitmapFactory.decodeResource(context.getResources(), R.drawable.rightwinkfrown);\n break;\n\n case CLOSED_EYE_FROWN:\n emojibitmap = BitmapFactory.decodeResource(context.getResources(), R.drawable.closed_frown);\n break;\n default:\n emojibitmap = null;\n Toast.makeText(context, R.string.no_emoji, Toast.LENGTH_LONG).show();\n }\n\n resultBitmap = addBitmapToFace(resultBitmap, emojibitmap, face);\n }\n }\n }else{\n Toast.makeText(context,\"detector failed\",Toast.LENGTH_SHORT).show();\n }\n detector.release();\n return resultBitmap;\n }","public static @NonNull List<TypeFamily> getAvailableFamilies() {\n Map<String, List<Typeface>> familyMap = new TreeMap<>(String.CASE_INSENSITIVE_ORDER);\n\n synchronized (TypefaceManager.class) {\n sortTypefaces();\n\n for (Typeface typeface : typefaces) {\n List<Typeface> entryList = familyMap.get(typeface.getFamilyName());\n if (entryList == null) {\n entryList = new ArrayList<>();\n familyMap.put(typeface.getFamilyName(), entryList);\n }\n\n entryList.add(typeface);\n }\n }\n\n List<TypeFamily> familyList = new ArrayList<>(familyMap.size());\n\n for (Map.Entry<String, List<Typeface>> entry : familyMap.entrySet()) {\n String familyName = entry.getKey();\n List<Typeface> typefaces = entry.getValue();\n\n familyList.add(new TypeFamily(familyName, typefaces));\n }\n\n return Collections.unmodifiableList(familyList);\n }","public ArrayList<DetectInfo> getAllDetects(){\n return orderedLandingPads;\n }","public ArrayList<Furniture> getFoundFurniture(){\n return foundFurniture;\n }","private static List<ImgDescriptor> getDescriptors(Mat[] faces, String name) {\n \tList<ImgDescriptor> ret = new ArrayList<ImgDescriptor>();\n\t\tfor(int i = 0; i < faces.length; i++){\n \t\t// define a copy of the image in order to prevent extract method to modify the original properties\n \t\tMat tmpImg = new Mat(faces[i]);\n \t\tString id = i + \"_\" + name;\n \t\tfloat[] features = extractor.extract(tmpImg, ExtractionParameters.DEEP_LAYER);\n \t\tImgDescriptor tmp = new ImgDescriptor(features, id);\n \t\tret.add(tmp);\n \t\tSystem.out.println(\"Extracting features for \" + id);\n \t}\n\t\t\n\t\treturn ret;\n\t}","boolean allFacesPainted() {\n\n\n for (int i = 0; i < s; i ++){\n if (the_cube[i] == false){\n return false;\n\n }\n }\n return true;\n }","public interface FaceInterface {\n List<PointF> getFacePoints();\n\n List<PointF> getLeftEyePoints();\n\n List<PointF> getRightEyePoints();\n\n public List<PointF> transformPoints(DrawingViewConfig config, boolean mirrorPoints);\n\n public RectF getEyesRect();\n public Emotions getEmotions();\n Emojis getEmojis();\n Appearance getAppearance();\n}","public static void detectFaces(File file) throws Exception, IOException {\r\n\t\t List<AnnotateImageRequest> requests = new ArrayList<>();\r\n System.out.println(file.getPath());\r\n\r\n \r\n //convert picture file into original ByteString object and set values to request for google vision API\r\n\t\t ByteString imgBytes = ByteString.readFrom(new FileInputStream(file));\r\n\r\n\t\t Image img = Image.newBuilder().setContent(imgBytes).build();\r\n\t\t Feature feat = Feature.newBuilder().setType(Type.FACE_DETECTION).build();\r\n\t\t AnnotateImageRequest request =\r\n\t\t AnnotateImageRequest.newBuilder().addFeatures(feat).setImage(img).build();\r\n\t\t requests.add(request);\r\n\r\n //call google vision API engine and returns annotations of the image\r\n\t\t try (ImageAnnotatorClient client = ImageAnnotatorClient.create()) {\r\n\t\t BatchAnnotateImagesResponse response = client.batchAnnotateImages(requests);\r\n\t\t List<AnnotateImageResponse> responses = response.getResponsesList();\r\n\r\n\t\t for (AnnotateImageResponse res : responses) {\r\n\t\t if (res.hasError()) {\r\n\t\t System.out.printf(\"Error: %s\\n\", res.getError().getMessage());\r\n\t\t return;\r\n\t\t }\r\n\r\n\t\t // retrieve annotation value of each emotion\r\n\t\t for (FaceAnnotation annotation : res.getFaceAnnotationsList()) {\r\n\t\t int[] emoValue = {annotation.getAngerLikelihoodValue(),\r\n annotation.getJoyLikelihoodValue(),\r\n annotation.getSorrowLikelihoodValue(),\r\n annotation.getSurpriseLikelihoodValue(),\r\n };\r\n \r\n //choose highest annotation value of each emotion\r\n int max = 0;\r\n for (int i = 0; i < emoValue.length; i++){\r\n System.out.print(emoValue[i] + \" \");\r\n if (max < emoValue[i]){\r\n max = emoValue[i];\r\n index = i;\r\n }\r\n }\r\n //if all of emotion likelihood balue = 1, no expression\r\n if (max == 1){index = emotion.length-1;}\r\n System.out.println();\r\n System.out.println(emotion[index]);\r\n }\r\n\r\n\t\t }\r\n \r\n\t\t }catch (Exception e){\r\n System.out.println(e);\r\n }\r\n\r\n\t\t}","protected int getFace() {\n return face;\n }","public Fence[] getFences() {\n/* 601 */ if (this.fences != null)\n/* 602 */ return (Fence[])this.fences.values().toArray((Object[])new Fence[this.fences.size()]); \n/* 603 */ return emptyFences;\n/* */ }","public List<Facet> facets() {\n return this.facets;\n }","public Observable<FoundFacesInner> findFacesAsync(Boolean cacheImage) {\n return findFacesWithServiceResponseAsync(cacheImage).map(new Func1<ServiceResponse<FoundFacesInner>, FoundFacesInner>() {\n @Override\n public FoundFacesInner call(ServiceResponse<FoundFacesInner> response) {\n return response.body();\n }\n });\n }","public int getFace(){\n return face;\n }","public static @NonNull List<Typeface> getAvailableTypefaces() {\n synchronized (TypefaceManager.class) {\n sortTypefaces();\n\n return Collections.unmodifiableList(new ArrayList<>(typefaces));\n }\n }","public java.util.List<org.landxml.schema.landXML11.FeatureDocument.Feature> getFeatureList()\r\n {\r\n final class FeatureList extends java.util.AbstractList<org.landxml.schema.landXML11.FeatureDocument.Feature>\r\n {\r\n public org.landxml.schema.landXML11.FeatureDocument.Feature get(int i)\r\n { return SurfaceImpl.this.getFeatureArray(i); }\r\n \r\n public org.landxml.schema.landXML11.FeatureDocument.Feature set(int i, org.landxml.schema.landXML11.FeatureDocument.Feature o)\r\n {\r\n org.landxml.schema.landXML11.FeatureDocument.Feature old = SurfaceImpl.this.getFeatureArray(i);\r\n SurfaceImpl.this.setFeatureArray(i, o);\r\n return old;\r\n }\r\n \r\n public void add(int i, org.landxml.schema.landXML11.FeatureDocument.Feature o)\r\n { SurfaceImpl.this.insertNewFeature(i).set(o); }\r\n \r\n public org.landxml.schema.landXML11.FeatureDocument.Feature remove(int i)\r\n {\r\n org.landxml.schema.landXML11.FeatureDocument.Feature old = SurfaceImpl.this.getFeatureArray(i);\r\n SurfaceImpl.this.removeFeature(i);\r\n return old;\r\n }\r\n \r\n public int size()\r\n { return SurfaceImpl.this.sizeOfFeatureArray(); }\r\n \r\n }\r\n \r\n synchronized (monitor())\r\n {\r\n check_orphaned();\r\n return new FeatureList();\r\n }\r\n }","public final Face getFace() {\n\t\treturn this.face;\n\t}","List<IFeature> getFeatureList();","private ArrayList<Integer> getOutsideFaceIndicesBeforeAllInfoHasBeenInferred()\n\t{\n\t\t// go through all the simplices and count how often each face is referenced;\n\t\t// inside faces are referenced twice, outside faces once\n\t\t\n\t\t// set up an array that will contain the reference counts for each face\n\t\tint[] faceRefs = new int[faces.size()];\n\t\tfor(int i=0; i<faceRefs.length; i++) faceRefs[i] = 0;\n\t\t\n\t\t// now go through all the simplices...\n\t\tfor(Simplex simplex : simplices)\n\t\t{\n\t\t\t// ... and increase the reference count of all the faces in the simplex\n\t\t\tint[] simplexFaceIndices = simplex.getFaceIndices();\t// should be of length 4\n\t\t\tfor(int i=0; i<4; i++)\n\t\t\t{\n\t\t\t\t// increase the reference count of the <i>th face of the simplex\n\t\t\t\tfaceRefs[simplexFaceIndices[i]]++;\n\t\t\t}\n\t\t}\n\t\t\n\t\t// now collect the indices of all faces that are referenced only once, i.e. the outside faces\n\t\tArrayList<Integer> outsideFaceIndices = new ArrayList<Integer>();\n\t\tfor(int i=0; i<faceRefs.length; i++)\n\t\t\t// is there exactly one reference to the face with index i?\n\t\t\tif(faceRefs[i] == 1)\n\t\t\t\t// yes; add i to the list of outside-face indices\n\t\t\t\toutsideFaceIndices.add(i);\n\t\t\n\t\t// return the list of outside-face indices\n\t\treturn outsideFaceIndices;\n\t}","public FaceAttributes faceAttributes() {\n return this.faceAttributes;\n }","public int getFace(){\n\t\treturn this.verdi;\n\t}","public int getFaceCount() {\n \tif (indicesBuf == null)\n \t\treturn 0;\n \tif(STRIPFLAG){\n \t\treturn indicesBuf.asShortBuffer().limit();\n \t}else{\n \t\treturn indicesBuf.asShortBuffer().limit()/3;\n \t}\n }","public List<FamilyMember> listAllFamilyMembers() {\n if (isFamilyMemberMapNullOrEmpty(familyMemberMap)) {\n return new ArrayList<>();\n }\n return new ArrayList<>(familyMemberMap.values());\n }","public void checkFaces()\n\tthrows InconsistencyException\n\t{\n\t\t// first check if faces is non-null\n\t\tif(faces == null)\n\t\t\tthrow new InconsistencyException(\"The ArrayList faces should be non-null, but is null.\");\n\n\t\t// check that all vertices are referenced at least three times, as each is the vertex of at least one simplex\n\t\t// and in each simplex three faces meet at each vertex;\n\t\t// also check that all edges are referenced at least two times\n\t\t\n\t\t// create an array of ints that will hold the number of references to each vertex in the list of faces...\n\t\tint[] vertexReferences = new int[vertices.size()];\n\t\t// ... and one that will hold the number of references to each edge...\n\t\tint[] edgeReferences = new int[edges.size()];\n\t\t\n\t\t// ... and set all these reference counts initially to zero\n\t\tfor(int i=0; i<vertexReferences.length; i++) vertexReferences[i] = 0;\n\t\tfor(int i=0; i<edgeReferences.length; i++) edgeReferences[i] = 0;\n\t\t\n\t\t// go through all faces...\n\t\tfor(Face face:faces)\n\t\t{\n\t\t\t// go through all three vertices...\n\t\t\tfor(int i=0; i<3; i++)\n\t\t\t\t// ... and increase the reference count of the vertex by 1\n\t\t\t\tvertexReferences[face.getVertexIndices()[i]]++;\n\t\t\t// note that any vertex indices that are out of bounds will throw up an error here!\n\n\t\t\t// go through all three edges...\n\t\t\tfor(int i=0; i<3; i++)\n\t\t\t\t// ... and increase the reference count of the edge by 1\n\t\t\t\tedgeReferences[face.getEdgeIndices()[i]]++;\n\t\t\t// note that any vertex indices that are out of bounds will throw up an error here!\n\t\t}\n\n\t\t// check that all vertex reference counts are >= 3\n\t\tfor(int i=0; i<vertexReferences.length; i++)\n\t\t{\n\t\t\tif(vertexReferences[i] < 3)\n\t\t\t{\n\t\t\t\t// vertex i is referenced fewer than 3 times\n\t\t\t\t\n\t\t\t\t// throw an InconsistencyException\n\t\t\t\tthrow(new InconsistencyException(\"Vertex #\" + i + \" should be referenced in the list of faces >= 3 times, but is referenced only \" + vertexReferences[i] + \" times.\"));\n\t\t\t}\n\t\t}\n\n\t\t// check that all edge reference counts are >= 2\n\t\tfor(int i=0; i<edgeReferences.length; i++)\n\t\t{\n\t\t\tif(edgeReferences[i] < 2)\n\t\t\t{\n\t\t\t\t// edge i is referenced fewer than 2 times\n\t\t\t\t\n\t\t\t\t// throw an InconsistencyException\n\t\t\t\tthrow(new InconsistencyException(\"Edge #\" + i + \" should be referenced in the list of faces >= 2 times, but is referenced only \" + edgeReferences[i] + \" times.\"));\n\t\t\t}\n\t\t}\n\t}","public ArrayList<Familymember> getMyFamilymembers() {\n\t\treturn myFamilymembers;\n\t}","public String getFace()\r\n {\r\n face = \"[\";\r\n if (color != \"none\")\r\n {\r\n face += this.color + \" \";\r\n }\r\n // Switch sttements to set diffrent faces \r\n switch(this.value)\r\n {\r\n default: face += String.valueOf(this.value); \r\n break;\r\n case 10: face += \"Skip\"; \r\n break;\r\n case 11: face += \"Reverse\"; \r\n break;\r\n case 12: face += \"Draw 2\"; \r\n break;\r\n case 13: face += \"Wild\"; \r\n break;\r\n case 14: face += \"Wild Draw 4\"; \r\n break;\r\n }\r\n face += \"]\";\r\n return face;\r\n }","public Vector3f[] getFaceVertices(int faceNumber) {\n\n\t\tint segmentNumber = 0;\n\n\t\tint indexNumber = faceNumber;\n\n\t\t// debug.println(\"segmentNumber, indexNumber = \" + segmentNumber + \" \" +\n\t\t// indexNumber);\n\n\t\twhile (indexNumber >= getIndexCountInSegment(segmentNumber)) {\n\t\t\tindexNumber -= getIndexCountInSegment(segmentNumber);\n\t\t\tsegmentNumber++;\n\t\t}\n\n\t\t// debug.println(\"segmentNumber, indexNumber = \" + segmentNumber + \" \" +\n\t\t// indexNumber);\n\n\t\tint[] vertindexes = getModelVerticeIndicesInSegment(segmentNumber, indexNumber);\n\n\t\t// parent.println(vertindexes);\n\n\t\tVector3f[] tmp = new Vector3f[vertindexes.length];\n\n\t\tfor (int i = 0; i < tmp.length; i++) {\n\t\t\ttmp[i] = new Vector3f();\n\t\t\ttmp[i].set(getModelVertice(vertindexes[i]));\n\t\t}\n\n\t\treturn tmp;\n\t}","@Override\r\n public void onSuccess(List<Face> faces) {\n detectFaces(faces, mutableImage);\r\n hideProgress();\r\n bottom_sheet_recycler.getAdapter().notifyDataSetChanged();\r\n bottomSheetBehavior.setState(BottomSheetBehavior.STATE_EXPANDED);\r\n\r\n faceDetectionCameraView.stop();\r\n\r\n imageView.setVisibility(View.VISIBLE);\r\n imageView.setImageBitmap(mutableImage);\r\n }","public Observable<ServiceResponse<FoundFacesInner>> findFacesWithServiceResponseAsync(Boolean cacheImage) {\n if (this.client.baseUrl() == null) {\n throw new IllegalArgumentException(\"Parameter this.client.baseUrl() is required and cannot be null.\");\n }\n String parameterizedHost = Joiner.on(\", \").join(\"{baseUrl}\", this.client.baseUrl());\n return service.findFaces(cacheImage, this.client.acceptLanguage(), parameterizedHost, this.client.userAgent())\n .flatMap(new Func1<Response<ResponseBody>, Observable<ServiceResponse<FoundFacesInner>>>() {\n @Override\n public Observable<ServiceResponse<FoundFacesInner>> call(Response<ResponseBody> response) {\n try {\n ServiceResponse<FoundFacesInner> clientResponse = findFacesDelegate(response);\n return Observable.just(clientResponse);\n } catch (Throwable t) {\n return Observable.error(t);\n }\n }\n });\n }","public ArrayList<String[]> getFavoritePairs() {\n ArrayList<String[]> favPairs = new ArrayList<>();\n for(Landmark landmark : landmarks.getFavorites()) {\n favPairs.add(new String[]{landmark.getName(), landmark.getLocation().toString(), landmark.getDescription()});\n }\n return favPairs;\n }","public FaceRectangle faceRectangle() {\n return this.faceRectangle;\n }","public ArrayList<FraisHF> getListFraisH() {\n return listeFraisHf;\n }","public static BufferedImage detectFace(BufferedImage newPhoto) {\n\t\tIplImage faceImage = IplImage.createFrom(newPhoto);\n\t\tCvHaarClassifierCascade cascade = new CvHaarClassifierCascade(cvLoad(\"res/haarcascade_frontalface_default.xml\"));\n\t\tCvMemStorage storage = CvMemStorage.create();\n\t\tCvSeq sign = cvHaarDetectObjects(faceImage, cascade, storage, 1.1, 3, CV_HAAR_DO_CANNY_PRUNING);\n\t\tcvClearMemStorage(storage);\n\t\t\n\t\t//if not faces detected, returns null.\n\t\tif (sign.total() == 0){\n\t\t\tnewPhoto = null;\n\t\t\tSystem.out.println(\"No Face\");\n\t\t}\n\t\t\n\t\telse {\n\t\t\tIplImage newImage; //IplImage used to temporarily hold the face\n\t\t\tint biggest = 0; //location of biggest face\n\t\t\tint biggestSize = 0; //height of biggest face\n\t\t\tCvRect r;\n\t\t\tfor (int i = 0; i < sign.total(); i++){\n\t\t\t\tr = new CvRect(cvGetSeqElem(sign, i));\n\t\t\t\t\n\t\t\t\tif (r.height() > biggestSize){\n\t\t\t\t\tbiggest = i;\n\t\t\t\t\tbiggestSize = r.height();\n\t\t\t\t}\n\t\n\t\t\t}\n\t\t\tcvResetImageROI(faceImage);\n\t\t\tr = new CvRect(cvGetSeqElem(sign, biggest));\n\t\t\tcvSetImageROI(faceImage, r);\n\t\t\t//sets size of newImage to same as face\n\t\t\tnewImage = cvCreateImage(cvGetSize(faceImage), faceImage.depth(), faceImage.nChannels());\n\t\t\t//Copies the face into newImage\n\t\t\tcvCopy(faceImage, newImage);\n\t\t\tcvResetImageROI(faceImage);\n\t\t\t//Converts back to BufferedImage\n\t\t\tnewPhoto = newImage.getBufferedImage();\n\t\t}\n\t\t//If null = no faces detected\n\t\treturn newPhoto;\n\t}","public List<FacetRequest> facets() {\n return this.facets;\n }","String[] getFamilyNames() {\n\t\treturn this.familyMap.keySet().toArray(new String[this.familyMap.size()]);\n\t}","@Override\n protected Face[] doInBackground(InputStream... params) {\n FaceServiceClient faceServiceClient = SampleApp.getFaceServiceClient();\n try {\n publishProgress(\"Detecting...\");\n\n // Start detection.\n return faceServiceClient.detect(\n params[0], /* Input stream of image to detect */\n true, /* Whether to return face ID */\n true, /* Whether to return face landmarks */\n /* Which face attributes to analyze, currently we support:\n age,gender,headPose,smile,facialHair */\n new FaceServiceClient.FaceAttributeType[]{\n FaceServiceClient.FaceAttributeType.Age,\n FaceServiceClient.FaceAttributeType.Gender,\n FaceServiceClient.FaceAttributeType.Smile,\n FaceServiceClient.FaceAttributeType.Glasses,\n FaceServiceClient.FaceAttributeType.FacialHair,\n FaceServiceClient.FaceAttributeType.Emotion,\n FaceServiceClient.FaceAttributeType.HeadPose,\n FaceServiceClient.FaceAttributeType.Accessories,\n FaceServiceClient.FaceAttributeType.Blur,\n FaceServiceClient.FaceAttributeType.Exposure,\n FaceServiceClient.FaceAttributeType.Hair,\n FaceServiceClient.FaceAttributeType.Makeup,\n FaceServiceClient.FaceAttributeType.Noise,\n FaceServiceClient.FaceAttributeType.Occlusion\n });\n\n\n } catch (Exception e) {\n mSucceed = false;\n publishProgress(e.getMessage());\n return null;\n }\n }","java.util.List<org.landxml.schema.landXML11.FeatureDocument.Feature> getFeatureList();","java.util.List<org.landxml.schema.landXML11.FeatureDocument.Feature> getFeatureList();","public static ArrayList<String> getColorsDetected() {\n return colorsDetected;\n }","@Override\n protected Face[] doInBackground(InputStream... params) {\n FaceServiceClient faceServiceClient = SampleApp.getFaceServiceClient();\n try {\n publishProgress(\"Detecting...\");\n\n // Start detection.\n return faceServiceClient.detect(\n params[0], /* Input stream of image to detect */\n true, /* Whether to return face ID */\n true, /* Whether to return face landmarks */\n /* Which face attributes to analyze, currently we support:\n age,gender,headPose,smile,facialHair */\n new FaceServiceClient.FaceAttributeType[] {\n FaceServiceClient.FaceAttributeType.Age,\n FaceServiceClient.FaceAttributeType.Gender,\n FaceServiceClient.FaceAttributeType.Smile,\n FaceServiceClient.FaceAttributeType.Glasses,\n FaceServiceClient.FaceAttributeType.FacialHair,\n FaceServiceClient.FaceAttributeType.Emotion,\n FaceServiceClient.FaceAttributeType.HeadPose,\n FaceServiceClient.FaceAttributeType.Accessories,\n FaceServiceClient.FaceAttributeType.Blur,\n FaceServiceClient.FaceAttributeType.Exposure,\n FaceServiceClient.FaceAttributeType.Hair,\n FaceServiceClient.FaceAttributeType.Makeup,\n FaceServiceClient.FaceAttributeType.Noise,\n FaceServiceClient.FaceAttributeType.Occlusion\n });\n } catch (Exception e) {\n mSucceed = false;\n publishProgress(e.getMessage());\n return null;\n }\n }","List<IShape> getVisibleShapes();","public void inferFacesFromEdges()\n\tthrows InconsistencyException\n\t{\n\t\t// first empty the list of faces\n\t\tif(faces == null)\n\t\t\tfaces = new ArrayList<Face>();\n\t\telse\n\t\t\tfaces.clear();\n\n\t\t// go through all vertices\n\t\tfor(int v=0; v<vertices.size(); v++)\n\t\t{\n\t\t\t// first find all edges with vertex #v and other vertex #w, where w>v\n\t\t\t// (if w<v, then that face will already have been detected earlier)...\n\t\t\t\n\t\t\t// ... by creating an array that will hold the edge indices...\n\t\t\tArrayList<Integer> indicesOfEdgesAtVertex = new ArrayList<Integer>();\n\t\t\t\n\t\t\t// ... and populating it by going through all the edges\n\t\t\tfor(int e=0; e<edges.size(); e++)\n\t\t\t{\n\t\t\t\t// does edge #e start or finish at vertex #v, and if so is the index of the other vertex >v?\n\t\t\t\tif(edges.get(e).getOtherVertexIndex(v) > v)\n\t\t\t\t{\n\t\t\t\t\t// yes\n\t\t\t\t\t\n\t\t\t\t\t// add it to the list of edges that start or finish at this vertex\n\t\t\t\t\tindicesOfEdgesAtVertex.add(e);\n\t\t\t\t}\n\t\t\t}\n\t\t\t\n\t\t\t// System.out.println(\"SimplicialComplex::inferFacesFromEdges: indices of edges meeting at vertex #\"+v+\": \" + indicesOfEdgesAtVertex.toString());\n\t\t\t\n\t\t\t// second, go through all pairs of edges that start or finish at vertex #v;\n\t\t\t// each such pair represents two of the three edges of a face that meets at vertex #v\n\t\t\tfor(int e1=0; e1<indicesOfEdgesAtVertex.size(); e1++)\n\t\t\t\tfor(int e2=e1+1; e2<indicesOfEdgesAtVertex.size(); e2++)\n\t\t\t\t{\n\t\t\t\t\t// create an empty face\n\t\t\t\t\tFace face = new Face(this);\n\t\t\t\t\t\n//\t\t\t\t\tSystem.out.println(\"SimplicialComplex::inferFacesFromEdges: e1=\" + e1 + \", e2=\" + e2);\n//\t\t\t\t\tSystem.out.println(\"SimplicialComplex::inferFacesFromEdges: edges: \"+edges.get(indicesOfEdgesAtVertex.get(e1)) + \", \" + edges.get(indicesOfEdgesAtVertex.get(e2)));\n//\t\t\t\t\tSystem.out.println(\"SimplicialComplex::inferFacesFromEdges: other vertex indices: \"+edges.get(indicesOfEdgesAtVertex.get(e1)).getOtherVertexIndex(v) + \", \" + edges.get(indicesOfEdgesAtVertex.get(e2)).getOtherVertexIndex(v));\n\t\t\t\t\n\t\t\t\t\t// set the face's vertex indices...\n\t\t\t\t\tface.setVertexIndices(v, edges.get(indicesOfEdgesAtVertex.get(e1)).getOtherVertexIndex(v), edges.get(indicesOfEdgesAtVertex.get(e2)).getOtherVertexIndex(v));\n\t\t\t\t\t\n\t\t\t\t\t// ... and from these infer the edge indices\n\t\t\t\t\ttry {\n\t\t\t\t\t\t// see if it is possible to infer the edges...\n\t\t\t\t\t\tface.inferEdgeIndices();\n\t\t\t\t\t\t\n\t\t\t\t\t\t// ... and if it is, add the face to the list of faces\n\t\t\t\t\t\tfaces.add(face);\n\t\t\t\t\t} catch (InconsistencyException e) {}\n\t\t\t\t}\n\t\t}\n\t}","List<Feature> getFeatures();","public Set<Frage> getAlleFragen() {\r\n Set<Frage> result = new HashSet<Frage>();\r\n Set<FrageDTO> fragen = dataStore.getAlleFragen();\r\n for (FrageDTO dto : fragen) {\r\n int frageId = dto.getId();\r\n List<String> antworten = dataStore.getAntwortenById(frageId);\r\n List<Integer> votes = dataStore.getVotings(frageId);\r\n Frage frage = new Frage(dto.getId(), dto.getText(),\r\n dto.getStatus(), antworten, votes);\r\n result.add(frage);\r\n }\r\n return result;\r\n }","public List<FrameFaceRects> getFaceRects(long startTime, long endTime) {\n if(frameDataMap == null){\n return Collections.emptyList();\n }\n List<FrameFaceRects> result = new ArrayList<>();\n final int size = frameDataMap.size();\n for (int i = 0; i < size ; i++) {\n long key = CommonUtils.timeToFrame(frameDataMap.keyAt(i), TimeUnit.SECONDS);\n if(key >= startTime && key <= endTime){\n FrameFaceRects faceRects = frameDataMap.valueAt(i).getFaceRects();\n if(faceRects != null) {\n result.add(faceRects);\n }\n }\n }\n return result;\n }","public static String[] getFamilyNames() {\n if (fonts == null) {\n getAllFonts();\n }\n\n return (String[]) families.toArray(new String[0]);\n }","@Override\n public void onUpdate(FaceDetector.Detections<Face> detectionResults, Face face)\n {\n int facesFound = detectionResults.getDetectedItems().size();\n\n faceTrackingListener.onFaceDetected(facesFound);\n }","public Set<VCube> getSupportedCubes();","public FriendList[] getFriendsLists();","boolean hasFaceUp();","public List<FactoryArrayStorage<?>> getVertices() {\n return mFactoryVertices;\n }","@DISPID(1610940431) //= 0x6005000f. The runtime will prefer the VTID if present\n @VTID(37)\n Collection userSurfaces();","public List<FacesMessage> getMessages() {\n return FxJsfUtils.getMessages(null);\n }","public void startFaceDetection() {\n /*\n r6 = this;\n r0 = r6.mFaceDetectionStarted;\n if (r0 != 0) goto L_0x004a;\n L_0x0004:\n r0 = r6.mCameraDevice;\n if (r0 == 0) goto L_0x004a;\n L_0x0008:\n r0 = r6.needFaceDetection();\n if (r0 != 0) goto L_0x000f;\n L_0x000e:\n goto L_0x004a;\n L_0x000f:\n r0 = r6.mCameraCapabilities;\n r0 = r0.getMaxNumOfFacesSupported();\n if (r0 <= 0) goto L_0x0049;\n L_0x0017:\n r0 = 1;\n r6.mFaceDetectionStarted = r0;\n r1 = r6.mCameraDevice;\n r2 = r6.mHandler;\n r3 = r6.mUI;\n r1.setFaceDetectionCallback(r2, r3);\n r1 = r6.mUI;\n r2 = r6.mDisplayOrientation;\n r3 = r6.isCameraFrontFacing();\n r4 = r6.mCameraId;\n r4 = r6.cropRegionForZoom(r4);\n r5 = 1065353216; // 0x3f800000 float:1.0 double:5.263544247E-315;\n r1.onStartFaceDetection(r2, r3, r4, r5);\n r1 = TAG;\n r2 = \"startFaceDetection\";\n com.hmdglobal.app.camera.debug.Log.w(r1, r2);\n r1 = r6.mCameraDevice;\n r1.startFaceDetection();\n r1 = com.hmdglobal.app.camera.util.SessionStatsCollector.instance();\n r1.faceScanActive(r0);\n L_0x0049:\n return;\n L_0x004a:\n return;\n */\n throw new UnsupportedOperationException(\"Method not decompiled: com.hmdglobal.app.camera.PhotoModule.startFaceDetection():void\");\n }","public Fence[] getAllFences() {\n/* 622 */ Set<Fence> fenceSet = new HashSet<>();\n/* 623 */ if (this.fences != null)\n/* */ {\n/* 625 */ for (Fence f : this.fences.values())\n/* */ {\n/* 627 */ fenceSet.add(f);\n/* */ }\n/* */ }\n/* */ \n/* 631 */ VolaTile eastTile = this.zone.getTileOrNull(this.tilex + 1, this.tiley);\n/* 632 */ if (eastTile != null) {\n/* */ \n/* 634 */ Fence[] eastFences = eastTile.getFencesForDir(Tiles.TileBorderDirection.DIR_DOWN);\n/* 635 */ for (int x = 0; x < eastFences.length; x++)\n/* */ {\n/* 637 */ fenceSet.add(eastFences[x]);\n/* */ }\n/* */ } \n/* */ \n/* 641 */ VolaTile southTile = this.zone.getTileOrNull(this.tilex, this.tiley + 1);\n/* 642 */ if (southTile != null) {\n/* */ \n/* 644 */ Fence[] southFences = southTile.getFencesForDir(Tiles.TileBorderDirection.DIR_HORIZ);\n/* 645 */ for (int x = 0; x < southFences.length; x++)\n/* */ {\n/* 647 */ fenceSet.add(southFences[x]);\n/* */ }\n/* */ } \n/* */ \n/* 651 */ if (fenceSet.size() == 0) {\n/* 652 */ return emptyFences;\n/* */ }\n/* 654 */ return fenceSet.<Fence>toArray(new Fence[fenceSet.size()]);\n/* */ }","public void recognize(){\n\t String dirOfFace =\".\\\\Faces\";\n\t String dirOfTestFaces =\".\\\\TestFaces\";\n\t \n\t File root = new File(dirOfFace);\n File Testfaces = new File(dirOfTestFaces);\n FilenameFilter imgFilter = new FilenameFilter() {\n\n public boolean accept(File dir, String name) {\n\n name = name.toLowerCase();\n\n return name.endsWith(\".jpg\") || name.endsWith(\".pgm\") || name.endsWith(\".png\");\n\n }\n\n };\n \n File[] imageFiles = Testfaces.listFiles(imgFilter);\n for (File image : imageFiles) {\n Recognizer fd = new Recognizer();\n int rollno=0;\n rollno = fd.returnPredict(image,root);\n System.out.println(rollno);\n try {\n db.AttendenceTable(rollno);\n } catch (ClassNotFoundException ex) {\n JOptionPane.showMessageDialog(null, ex);\n }\n }\n\n\n }","public ArrayList<String> loadFavorites() {\n\n\t\tSAVE_FILE = FAVORITE_FILE;\n\t\tArrayList<String> list = new ArrayList<String>();\n\t\tlist = loadIds();\n\t\treturn list;\n\t}","public java.util.List<V> getVertices();","boolean getFaceDetectionPref();","public interface FaceTrackingListener {\n void onFaceLeftMove();\n void onFaceRightMove();\n void onFaceUpMove();\n void onFaceDownMove();\n void onGoodSmile();\n void onEyeCloseError();\n void onMouthOpenError();\n void onMultipleFaceError();\n\n}","public void FPrimeEvent(ArrayList<ArrayList<Shape>> faces) {\r\n \tint u1 = CUBE7, l1 = CUBE9, r1 = CUBE1, b1 = CUBE3;\r\n \tfor(int i = 0; i < 3; i++) {\r\n \t\tColor color = faces.get(TOP).get(u1).getColor();\r\n \tfaces.get(TOP).get(u1).changeColor(faces.get(RIGHT).get(r1).getColor());\r\n \tfaces.get(RIGHT).get(r1).changeColor(faces.get(BOTTOM).get(b1).getColor());\r\n \tfaces.get(BOTTOM).get(b1).changeColor(faces.get(LEFT).get(l1).getColor());\r\n \tfaces.get(LEFT).get(l1).changeColor(color);\r\n \tu1++;\r\n \tl1 -= SHIFT_ROW;\r\n \tb1--;\r\n \tr1 += SHIFT_ROW;\r\n \t} \r\n \r\n \tColor color = faces.get(FRONT).get(CUBE1).getColor();\r\n \tfaces.get(FRONT).get(CUBE1).changeColor(faces.get(FRONT).get(CUBE3).getColor());\r\n \tfaces.get(FRONT).get(CUBE3).changeColor(faces.get(FRONT).get(CUBE9).getColor());\r\n \tfaces.get(FRONT).get(CUBE9).changeColor(faces.get(FRONT).get(CUBE7).getColor());\r\n \tfaces.get(FRONT).get(CUBE7).changeColor(color);\r\n \tcolor = faces.get(FRONT).get(CUBE2).getColor();\r\n \tfaces.get(FRONT).get(CUBE2).changeColor(faces.get(FRONT).get(CUBE6).getColor());\r\n \tfaces.get(FRONT).get(CUBE6).changeColor(faces.get(FRONT).get(CUBE8).getColor());\r\n \tfaces.get(FRONT).get(CUBE8).changeColor(faces.get(FRONT).get(CUBE4).getColor());\r\n \tfaces.get(FRONT).get(CUBE4).changeColor(color);\r\n }","public FamilyInfo[] getFamilyInfo() {\n return familyInfo;\n }","public ArrayList<Collidable> getNeighbors();","public Figure[] getFigures() {\n return figures;\n }","public static List<IEssence> getRegisteredEssences() {\n ArrayList<IEssence> essences = new ArrayList();\n MagicStaffs.ITEMS\n .stream()\n .filter(item -> item instanceof IEssence)\n .forEach(item -> essences.add((IEssence) item));\n return essences;\n }","public boolean needFaceDetection() {\n return true;\n }","java.util.List<message.Figure.FigureData.FigureBase> \n getFigureListList();","public static ArrayList<FamilyType> getAvailableFamilies() {\n ArrayList<FamilyType> allFamilies = new ArrayList<FamilyType>();\n File dir = new File(getRapidSmithPath() + File.separator + \"devices\");\n if (!dir.exists()) {\n MessageGenerator.briefErrorAndExit(\"ERROR: No part files exist. Please run \" +\n Installer.class.getCanonicalName() + \" to create part files.\");\n }\n for (String partFamily : dir.list()) {\n FamilyType type = PartNameTools.getFamilyTypeFromFamilyName(partFamily);\n if (type != null) allFamilies.add(type);\n }\n\n return allFamilies;\n }","java.util.List<uk.ac.cam.acr31.features.javac.proto.GraphProtos.FeatureEdge> \n getEdgeList();","protected abstract void setFaces();","public java.util.List<org.landxml.schema.landXML11.FeatureDocument.Feature> getFeatureList()\r\n {\r\n final class FeatureList extends java.util.AbstractList<org.landxml.schema.landXML11.FeatureDocument.Feature>\r\n {\r\n public org.landxml.schema.landXML11.FeatureDocument.Feature get(int i)\r\n { return IntersectionImpl.this.getFeatureArray(i); }\r\n \r\n public org.landxml.schema.landXML11.FeatureDocument.Feature set(int i, org.landxml.schema.landXML11.FeatureDocument.Feature o)\r\n {\r\n org.landxml.schema.landXML11.FeatureDocument.Feature old = IntersectionImpl.this.getFeatureArray(i);\r\n IntersectionImpl.this.setFeatureArray(i, o);\r\n return old;\r\n }\r\n \r\n public void add(int i, org.landxml.schema.landXML11.FeatureDocument.Feature o)\r\n { IntersectionImpl.this.insertNewFeature(i).set(o); }\r\n \r\n public org.landxml.schema.landXML11.FeatureDocument.Feature remove(int i)\r\n {\r\n org.landxml.schema.landXML11.FeatureDocument.Feature old = IntersectionImpl.this.getFeatureArray(i);\r\n IntersectionImpl.this.removeFeature(i);\r\n return old;\r\n }\r\n \r\n public int size()\r\n { return IntersectionImpl.this.sizeOfFeatureArray(); }\r\n \r\n }\r\n \r\n synchronized (monitor())\r\n {\r\n check_orphaned();\r\n return new FeatureList();\r\n }\r\n }","public void startFaceDetection() {\n /*\n r4 = this;\n r0 = r4.mFaceDetectionStarted;\n if (r0 != 0) goto L_0x0036;\n L_0x0004:\n r0 = r4.mCameraDevice;\n if (r0 == 0) goto L_0x0036;\n L_0x0008:\n r0 = r4.needFaceDetection();\n if (r0 != 0) goto L_0x000f;\n L_0x000e:\n goto L_0x0036;\n L_0x000f:\n r0 = r4.mCameraCapabilities;\n r0 = r0.getMaxNumOfFacesSupported();\n if (r0 <= 0) goto L_0x0035;\n L_0x0017:\n r0 = 1;\n r4.mFaceDetectionStarted = r0;\n r1 = TAG;\n r2 = \"startFaceDetection\";\n com.hmdglobal.app.camera.debug.Log.w(r1, r2);\n r1 = r4.mCameraDevice;\n r2 = r4.mHandler;\n r3 = 0;\n r1.setFaceDetectionCallback(r2, r3);\n r1 = r4.mCameraDevice;\n r1.startFaceDetection();\n r1 = com.hmdglobal.app.camera.util.SessionStatsCollector.instance();\n r1.faceScanActive(r0);\n L_0x0035:\n return;\n L_0x0036:\n return;\n */\n throw new UnsupportedOperationException(\"Method not decompiled: com.hmdglobal.app.camera.VideoModule.startFaceDetection():void\");\n }","public Fence[] getFencesForDir(Tiles.TileBorderDirection dir) {\n/* 713 */ if (this.fences != null) {\n/* */ \n/* 715 */ Set<Fence> fenceSet = new HashSet<>();\n/* 716 */ for (Fence f : this.fences.values()) {\n/* */ \n/* 718 */ if (f.getDir() == dir)\n/* 719 */ fenceSet.add(f); \n/* */ } \n/* 721 */ return fenceSet.<Fence>toArray(new Fence[fenceSet.size()]);\n/* */ } \n/* */ \n/* 724 */ return emptyFences;\n/* */ }","public List<EnumerationValue> getGenders()\r\n\t{\r\n\t\treturn getGenders( getSession().getSessionContext() );\r\n\t}","public RubiksFace getRubiksFace(RubiksFace.RubiksFacePosition position) {\n for (RubiksFace face : rubiksFaceList) {\n if (face.getFacePosition() == position) {\n return face;\n }\n }\n\n return null;\n }","public int getFaceValue ()\n {\n return faceValue;\n }"],"string":"[\n \"public Face[] getFaces() {\\n return faces;\\n }\",\n \"static FaceSegment[] allFaces() {\\n FaceSegment[] faces = new FaceSegment[6];\\n for (int i = 0; i < faces.length; i++) {\\n faces[i] = new FaceSegment();\\n }\\n return faces;\\n }\",\n \"public int[][] getFaces() {\\n\\t\\treturn this.faces;\\n\\t}\",\n \"public int faces() { \\n return this.faces; \\n }\",\n \"public int getFaces() {\\n return this.faces;\\n }\",\n \"public Rect[] getFaceRects()\\n {\\n final String funcName = \\\"getFaceRects\\\";\\n\\n if (debugEnabled)\\n {\\n dbgTrace.traceEnter(funcName, TrcDbgTrace.TraceLevel.API);\\n dbgTrace.traceExit(funcName, TrcDbgTrace.TraceLevel.API);\\n }\\n\\n return faceRects;\\n }\",\n \"public Observable<FoundFacesInner> findFacesAsync() {\\n return findFacesWithServiceResponseAsync().map(new Func1<ServiceResponse<FoundFacesInner>, FoundFacesInner>() {\\n @Override\\n public FoundFacesInner call(ServiceResponse<FoundFacesInner> response) {\\n return response.body();\\n }\\n });\\n }\",\n \"public int[] getFace() {\\n\\t\\treturn this.face;\\n\\t}\",\n \"public Observable<ServiceResponse<FoundFacesInner>> findFacesWithServiceResponseAsync() {\\n if (this.client.baseUrl() == null) {\\n throw new IllegalArgumentException(\\\"Parameter this.client.baseUrl() is required and cannot be null.\\\");\\n }\\n final Boolean cacheImage = null;\\n String parameterizedHost = Joiner.on(\\\", \\\").join(\\\"{baseUrl}\\\", this.client.baseUrl());\\n return service.findFaces(cacheImage, this.client.acceptLanguage(), parameterizedHost, this.client.userAgent())\\n .flatMap(new Func1<Response<ResponseBody>, Observable<ServiceResponse<FoundFacesInner>>>() {\\n @Override\\n public Observable<ServiceResponse<FoundFacesInner>> call(Response<ResponseBody> response) {\\n try {\\n ServiceResponse<FoundFacesInner> clientResponse = findFacesDelegate(response);\\n return Observable.just(clientResponse);\\n } catch (Throwable t) {\\n return Observable.error(t);\\n }\\n }\\n });\\n }\",\n \"java.util.List getSurfaceRefs();\",\n \"public int getFaceCount() {\\r\\n return faceCount;\\r\\n\\t}\",\n \"private Face chooseFace(ArrayList<Face> faces) {\\n return faces.get(0);\\n }\",\n \"public ArrayList<Integer> getOutsideFaceIndices()\\n\\t{\\n\\t\\t// now collect the indices of all faces that are referenced only once, i.e. the outside faces\\n\\t\\tArrayList<Integer> outsideFaceIndices = new ArrayList<Integer>();\\n\\t\\tfor(int i=0; i<faces.size(); i++)\\n\\t\\t\\t// is there exactly one reference to the face with index i?\\n\\t\\t\\tif(getFace(i).getNoOfFacesToOutside() == 0)\\n\\t\\t\\t\\t// yes; add i to the list of outside-face indices\\n\\t\\t\\t\\toutsideFaceIndices.add(i);\\n\\t\\t\\n\\t\\t// return the list of outside-face indices\\n\\t\\treturn outsideFaceIndices;\\n\\t}\",\n \"public int getFaceCount() {\\n\\t\\tint count = 0;\\n\\n\\t\\tfor (int i = 0; i < getSegmentCount(); i++) {\\n\\t\\t\\tcount += getIndexCountInSegment(i);\\n\\t\\t}\\n\\n\\t\\treturn count;\\n\\t}\",\n \"public String getFace() {\\r\\n return face;\\r\\n }\",\n \"public String getFace() {\\r\\n return face;\\r\\n }\",\n \"public interface FaceFinder {\\n\\n public CvFace[] detectFace(Bitmap bitmap);\\n\\n}\",\n \"private List<Vertice> pegaVerticesFolha() {\\n List<Vertice> verticesFolha = new ArrayList<Vertice>();\\n\\n for (Vertice vertice : this.pegaTodosOsVerticesDoGrafo()) {\\n if (this.getGrauDeSaida(vertice) == 0) {\\n verticesFolha.add(vertice);\\n }\\n }\\n\\n return verticesFolha;\\n }\",\n \"public ArrayList< Card > getCheat() {\\r\\n ArrayList< Card > faces = new ArrayList<>();\\r\\n\\r\\n for ( Card card : cards ) {\\r\\n Card copy = new Card( card );\\r\\n copy.setFaceUp();\\r\\n faces.add( copy );\\r\\n }\\r\\n return faces;\\r\\n }\",\n \"public FaceLandmarks faceLandmarks() {\\n return this.faceLandmarks;\\n }\",\n \"private List<Bitmap> processFaceResult(List<FirebaseVisionFace> faces, FirebaseVisionImage image, boolean keepOriginal) {\\n final int FACE_IMG_WIDTH = 160;\\n final int FACE_IMG_HEIGHT = 160;\\n\\n List<Bitmap> facesInFrame = new ArrayList<>();\\n for (FirebaseVisionFace face : faces) {\\n Rect bounds = face.getBoundingBox();\\n Bitmap bitmap = cropBitmap(image.getBitmap(), bounds);\\n if(keepOriginal == false) {\\n bitmap = Bitmap.createScaledBitmap(bitmap, FACE_IMG_WIDTH, FACE_IMG_HEIGHT, true);\\n }\\n facesInFrame.add(bitmap);\\n\\n }\\n return facesInFrame;\\n }\",\n \"public String getFace() {\\n\\t\\treturn face;\\n\\t}\",\n \"public Face getFaceVitoriosa() {\\n return faceVitoriosa;\\n }\",\n \"public int getFace() {\\n\\t\\treturn face;\\n\\t}\",\n \"private void faceDetection(){\\n\\n String haarPath = resToFile(R.raw.haarcascade_frontalface_default, \\\"haarcascade_frontalface_default.xml\\\");\\n String testPicPath = resToFile(R.drawable.test_me, \\\"test_me.jpg\\\");\\n\\n CascadeClassifier faceDetector = new CascadeClassifier();\\n Mat image = imread(testPicPath);\\n boolean isEmpty = image.empty();\\n\\n faceDetector = new CascadeClassifier(haarPath);\\n if(faceDetector.empty())\\n {\\n Log.v(\\\"MyActivity\\\",\\\"--(!)Error loading A\\\\n\\\");\\n return;\\n }\\n else\\n {\\n Log.v(\\\"MyActivity\\\", \\\"Loaded cascade classifier from \\\" + haarPath);\\n }\\n\\n //My Code\\n MatOfRect faceDetections = new MatOfRect();\\n faceDetector.detectMultiScale(image, faceDetections);\\n\\n System.out.println(String.format(\\\"Detected %s faces\\\", faceDetections.toArray().length));\\n\\n for (Rect rect : faceDetections.toArray()) {\\n Imgproc.rectangle(image, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height),\\n new Scalar(0, 255, 0));\\n// Core.rectangle(image, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height),\\n// new Scalar(0, 255, 0));\\n }\\n\\n Bitmap bm = Bitmap.createBitmap(image.cols(), image.rows(), Bitmap.Config.ARGB_8888);\\n Utils.matToBitmap(image, bm);\\n\\n ImageView imageView = (ImageView) findViewById(R.id.imageView);\\n imageView.setImageBitmap(bm);\\n }\",\n \"public static String detectFacesGcs(String gcsPath) throws IOException {\\n \\tSystem.out.println(\\\"Enter Face detection\\\");\\n List<AnnotateImageRequest> requests = new ArrayList<AnnotateImageRequest>();\\n StringBuilder sb = new StringBuilder();\\n ImageSource imgSource = ImageSource.newBuilder().setGcsImageUri(gcsPath).build();\\n Image img = Image.newBuilder().setSource(imgSource).build();\\n Feature feat = Feature.newBuilder().setType(Feature.Type.FACE_DETECTION).build();\\n \\n AnnotateImageRequest request =\\n AnnotateImageRequest.newBuilder().addFeatures(feat).setImage(img).build();\\n requests.add(request);\\n try (ImageAnnotatorClient client = ImageAnnotatorClient.create()) {\\n \\t\\tSystem.out.println(\\\" Face detection request sent\\\");\\n BatchAnnotateImagesResponse response = client.batchAnnotateImages(requests);\\n List<AnnotateImageResponse> responses = response.getResponsesList();\\n System.out.println(\\\" Face detection response recieved\\\");\\n for (AnnotateImageResponse res : responses) {\\n if (res.hasError()) {\\n System.out.format(\\\"Error: %s%n\\\", res.getError().getMessage());\\n return \\\"\\\";\\n }\\n sb.append(\\\"{\\\");\\n for (FaceAnnotation annotation : res.getFaceAnnotationsList()) {\\n \\t sb.append(\\\"\\\\\\\"anger\\\\\\\":\\\");sb.append('\\\"');\\n \\t sb.append(annotation.getAngerLikelihood().toString());\\n \\t sb.append('\\\"');sb.append(\\\",\\\");sb.append(\\\"\\\\\\\"joy\\\\\\\":\\\"); sb.append('\\\"');\\n \\t sb.append( annotation.getJoyLikelihood().toString());\\n \\t sb.append('\\\"'); sb.append(\\\",\\\");sb.append(\\\"\\\\\\\"suprise\\\\\\\":\\\");sb.append('\\\"');\\n \\t sb.append(annotation.getSurpriseLikelihood().toString());\\n \\t sb.append('\\\"');\\n }\\n sb.append(\\\"}\\\");}}return sb.toString();}\",\n \"static Bitmap detectfaces(Context context, Bitmap bitmap){\\n Timber.d(\\\" timber start building DETECTOR\\\");\\n FaceDetector detector=new FaceDetector.Builder(context)\\n .setTrackingEnabled(false)\\n .setClassificationType(FaceDetector.ALL_CLASSIFICATIONS)\\n .build();\\n// detector.setProcessor(\\n// new MultiProcessor.Builder<>(new GraphicFaceTrackerFactory())\\n// .build());\\n Timber.d(\\\" timber END building DETECTOR\\\");\\n Bitmap resultBitmap = bitmap;\\n if(detector.isOperational()) {\\n Frame frame = new Frame.Builder().setBitmap(bitmap).build();\\n Timber.d(\\\" timber START DETECTING FACES DETECTOR\\\");\\n SparseArray<Face> faces = detector.detect(frame);\\n Timber.d(\\\" timber END DETECTING FACES DETECTOR\\\");\\n\\n\\n Timber.d(\\\"size of faces\\\" + faces.size());\\n // Toast.makeText(context,\\\"number of faces detected = \\\"+faces.size(),Toast.LENGTH_LONG).show();\\n if (faces.size() == 0) {\\n Toast.makeText(context, \\\"No faces detected\\\", Toast.LENGTH_SHORT).show();\\n } else {\\n for (int i = 0; i < faces.size(); i++) {\\n Face face = faces.valueAt(i);\\n // getProbability(face);\\n Emoji emo = whichEmoji(face);\\n Bitmap emojibitmap;\\n switch (emo) {\\n case SMILE:\\n emojibitmap = BitmapFactory.decodeResource(context.getResources(), R.drawable.smile);\\n break;\\n\\n case RIGHT_WINK:\\n emojibitmap = BitmapFactory.decodeResource(context.getResources(), R.drawable.rightwink);\\n break;\\n\\n case LEFT_WINK:\\n emojibitmap = BitmapFactory.decodeResource(context.getResources(), R.drawable.leftwink);\\n break;\\n\\n case CLOSED_EYE_SMILE:\\n emojibitmap = BitmapFactory.decodeResource(context.getResources(), R.drawable.closed_smile);\\n break;\\n\\n case FROWN:\\n emojibitmap = BitmapFactory.decodeResource(context.getResources(), R.drawable.frown);\\n break;\\n\\n case LEFT_WINK_FROWN:\\n emojibitmap = BitmapFactory.decodeResource(context.getResources(), R.drawable.leftwinkfrown);\\n break;\\n\\n case RIGHT_WINK_FROWN:\\n emojibitmap = BitmapFactory.decodeResource(context.getResources(), R.drawable.rightwinkfrown);\\n break;\\n\\n case CLOSED_EYE_FROWN:\\n emojibitmap = BitmapFactory.decodeResource(context.getResources(), R.drawable.closed_frown);\\n break;\\n default:\\n emojibitmap = null;\\n Toast.makeText(context, R.string.no_emoji, Toast.LENGTH_LONG).show();\\n }\\n\\n resultBitmap = addBitmapToFace(resultBitmap, emojibitmap, face);\\n }\\n }\\n }else{\\n Toast.makeText(context,\\\"detector failed\\\",Toast.LENGTH_SHORT).show();\\n }\\n detector.release();\\n return resultBitmap;\\n }\",\n \"public static @NonNull List<TypeFamily> getAvailableFamilies() {\\n Map<String, List<Typeface>> familyMap = new TreeMap<>(String.CASE_INSENSITIVE_ORDER);\\n\\n synchronized (TypefaceManager.class) {\\n sortTypefaces();\\n\\n for (Typeface typeface : typefaces) {\\n List<Typeface> entryList = familyMap.get(typeface.getFamilyName());\\n if (entryList == null) {\\n entryList = new ArrayList<>();\\n familyMap.put(typeface.getFamilyName(), entryList);\\n }\\n\\n entryList.add(typeface);\\n }\\n }\\n\\n List<TypeFamily> familyList = new ArrayList<>(familyMap.size());\\n\\n for (Map.Entry<String, List<Typeface>> entry : familyMap.entrySet()) {\\n String familyName = entry.getKey();\\n List<Typeface> typefaces = entry.getValue();\\n\\n familyList.add(new TypeFamily(familyName, typefaces));\\n }\\n\\n return Collections.unmodifiableList(familyList);\\n }\",\n \"public ArrayList<DetectInfo> getAllDetects(){\\n return orderedLandingPads;\\n }\",\n \"public ArrayList<Furniture> getFoundFurniture(){\\n return foundFurniture;\\n }\",\n \"private static List<ImgDescriptor> getDescriptors(Mat[] faces, String name) {\\n \\tList<ImgDescriptor> ret = new ArrayList<ImgDescriptor>();\\n\\t\\tfor(int i = 0; i < faces.length; i++){\\n \\t\\t// define a copy of the image in order to prevent extract method to modify the original properties\\n \\t\\tMat tmpImg = new Mat(faces[i]);\\n \\t\\tString id = i + \\\"_\\\" + name;\\n \\t\\tfloat[] features = extractor.extract(tmpImg, ExtractionParameters.DEEP_LAYER);\\n \\t\\tImgDescriptor tmp = new ImgDescriptor(features, id);\\n \\t\\tret.add(tmp);\\n \\t\\tSystem.out.println(\\\"Extracting features for \\\" + id);\\n \\t}\\n\\t\\t\\n\\t\\treturn ret;\\n\\t}\",\n \"boolean allFacesPainted() {\\n\\n\\n for (int i = 0; i < s; i ++){\\n if (the_cube[i] == false){\\n return false;\\n\\n }\\n }\\n return true;\\n }\",\n \"public interface FaceInterface {\\n List<PointF> getFacePoints();\\n\\n List<PointF> getLeftEyePoints();\\n\\n List<PointF> getRightEyePoints();\\n\\n public List<PointF> transformPoints(DrawingViewConfig config, boolean mirrorPoints);\\n\\n public RectF getEyesRect();\\n public Emotions getEmotions();\\n Emojis getEmojis();\\n Appearance getAppearance();\\n}\",\n \"public static void detectFaces(File file) throws Exception, IOException {\\r\\n\\t\\t List<AnnotateImageRequest> requests = new ArrayList<>();\\r\\n System.out.println(file.getPath());\\r\\n\\r\\n \\r\\n //convert picture file into original ByteString object and set values to request for google vision API\\r\\n\\t\\t ByteString imgBytes = ByteString.readFrom(new FileInputStream(file));\\r\\n\\r\\n\\t\\t Image img = Image.newBuilder().setContent(imgBytes).build();\\r\\n\\t\\t Feature feat = Feature.newBuilder().setType(Type.FACE_DETECTION).build();\\r\\n\\t\\t AnnotateImageRequest request =\\r\\n\\t\\t AnnotateImageRequest.newBuilder().addFeatures(feat).setImage(img).build();\\r\\n\\t\\t requests.add(request);\\r\\n\\r\\n //call google vision API engine and returns annotations of the image\\r\\n\\t\\t try (ImageAnnotatorClient client = ImageAnnotatorClient.create()) {\\r\\n\\t\\t BatchAnnotateImagesResponse response = client.batchAnnotateImages(requests);\\r\\n\\t\\t List<AnnotateImageResponse> responses = response.getResponsesList();\\r\\n\\r\\n\\t\\t for (AnnotateImageResponse res : responses) {\\r\\n\\t\\t if (res.hasError()) {\\r\\n\\t\\t System.out.printf(\\\"Error: %s\\\\n\\\", res.getError().getMessage());\\r\\n\\t\\t return;\\r\\n\\t\\t }\\r\\n\\r\\n\\t\\t // retrieve annotation value of each emotion\\r\\n\\t\\t for (FaceAnnotation annotation : res.getFaceAnnotationsList()) {\\r\\n\\t\\t int[] emoValue = {annotation.getAngerLikelihoodValue(),\\r\\n annotation.getJoyLikelihoodValue(),\\r\\n annotation.getSorrowLikelihoodValue(),\\r\\n annotation.getSurpriseLikelihoodValue(),\\r\\n };\\r\\n \\r\\n //choose highest annotation value of each emotion\\r\\n int max = 0;\\r\\n for (int i = 0; i < emoValue.length; i++){\\r\\n System.out.print(emoValue[i] + \\\" \\\");\\r\\n if (max < emoValue[i]){\\r\\n max = emoValue[i];\\r\\n index = i;\\r\\n }\\r\\n }\\r\\n //if all of emotion likelihood balue = 1, no expression\\r\\n if (max == 1){index = emotion.length-1;}\\r\\n System.out.println();\\r\\n System.out.println(emotion[index]);\\r\\n }\\r\\n\\r\\n\\t\\t }\\r\\n \\r\\n\\t\\t }catch (Exception e){\\r\\n System.out.println(e);\\r\\n }\\r\\n\\r\\n\\t\\t}\",\n \"protected int getFace() {\\n return face;\\n }\",\n \"public Fence[] getFences() {\\n/* 601 */ if (this.fences != null)\\n/* 602 */ return (Fence[])this.fences.values().toArray((Object[])new Fence[this.fences.size()]); \\n/* 603 */ return emptyFences;\\n/* */ }\",\n \"public List<Facet> facets() {\\n return this.facets;\\n }\",\n \"public Observable<FoundFacesInner> findFacesAsync(Boolean cacheImage) {\\n return findFacesWithServiceResponseAsync(cacheImage).map(new Func1<ServiceResponse<FoundFacesInner>, FoundFacesInner>() {\\n @Override\\n public FoundFacesInner call(ServiceResponse<FoundFacesInner> response) {\\n return response.body();\\n }\\n });\\n }\",\n \"public int getFace(){\\n return face;\\n }\",\n \"public static @NonNull List<Typeface> getAvailableTypefaces() {\\n synchronized (TypefaceManager.class) {\\n sortTypefaces();\\n\\n return Collections.unmodifiableList(new ArrayList<>(typefaces));\\n }\\n }\",\n \"public java.util.List<org.landxml.schema.landXML11.FeatureDocument.Feature> getFeatureList()\\r\\n {\\r\\n final class FeatureList extends java.util.AbstractList<org.landxml.schema.landXML11.FeatureDocument.Feature>\\r\\n {\\r\\n public org.landxml.schema.landXML11.FeatureDocument.Feature get(int i)\\r\\n { return SurfaceImpl.this.getFeatureArray(i); }\\r\\n \\r\\n public org.landxml.schema.landXML11.FeatureDocument.Feature set(int i, org.landxml.schema.landXML11.FeatureDocument.Feature o)\\r\\n {\\r\\n org.landxml.schema.landXML11.FeatureDocument.Feature old = SurfaceImpl.this.getFeatureArray(i);\\r\\n SurfaceImpl.this.setFeatureArray(i, o);\\r\\n return old;\\r\\n }\\r\\n \\r\\n public void add(int i, org.landxml.schema.landXML11.FeatureDocument.Feature o)\\r\\n { SurfaceImpl.this.insertNewFeature(i).set(o); }\\r\\n \\r\\n public org.landxml.schema.landXML11.FeatureDocument.Feature remove(int i)\\r\\n {\\r\\n org.landxml.schema.landXML11.FeatureDocument.Feature old = SurfaceImpl.this.getFeatureArray(i);\\r\\n SurfaceImpl.this.removeFeature(i);\\r\\n return old;\\r\\n }\\r\\n \\r\\n public int size()\\r\\n { return SurfaceImpl.this.sizeOfFeatureArray(); }\\r\\n \\r\\n }\\r\\n \\r\\n synchronized (monitor())\\r\\n {\\r\\n check_orphaned();\\r\\n return new FeatureList();\\r\\n }\\r\\n }\",\n \"public final Face getFace() {\\n\\t\\treturn this.face;\\n\\t}\",\n \"List<IFeature> getFeatureList();\",\n \"private ArrayList<Integer> getOutsideFaceIndicesBeforeAllInfoHasBeenInferred()\\n\\t{\\n\\t\\t// go through all the simplices and count how often each face is referenced;\\n\\t\\t// inside faces are referenced twice, outside faces once\\n\\t\\t\\n\\t\\t// set up an array that will contain the reference counts for each face\\n\\t\\tint[] faceRefs = new int[faces.size()];\\n\\t\\tfor(int i=0; i<faceRefs.length; i++) faceRefs[i] = 0;\\n\\t\\t\\n\\t\\t// now go through all the simplices...\\n\\t\\tfor(Simplex simplex : simplices)\\n\\t\\t{\\n\\t\\t\\t// ... and increase the reference count of all the faces in the simplex\\n\\t\\t\\tint[] simplexFaceIndices = simplex.getFaceIndices();\\t// should be of length 4\\n\\t\\t\\tfor(int i=0; i<4; i++)\\n\\t\\t\\t{\\n\\t\\t\\t\\t// increase the reference count of the <i>th face of the simplex\\n\\t\\t\\t\\tfaceRefs[simplexFaceIndices[i]]++;\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\t\\n\\t\\t// now collect the indices of all faces that are referenced only once, i.e. the outside faces\\n\\t\\tArrayList<Integer> outsideFaceIndices = new ArrayList<Integer>();\\n\\t\\tfor(int i=0; i<faceRefs.length; i++)\\n\\t\\t\\t// is there exactly one reference to the face with index i?\\n\\t\\t\\tif(faceRefs[i] == 1)\\n\\t\\t\\t\\t// yes; add i to the list of outside-face indices\\n\\t\\t\\t\\toutsideFaceIndices.add(i);\\n\\t\\t\\n\\t\\t// return the list of outside-face indices\\n\\t\\treturn outsideFaceIndices;\\n\\t}\",\n \"public FaceAttributes faceAttributes() {\\n return this.faceAttributes;\\n }\",\n \"public int getFace(){\\n\\t\\treturn this.verdi;\\n\\t}\",\n \"public int getFaceCount() {\\n \\tif (indicesBuf == null)\\n \\t\\treturn 0;\\n \\tif(STRIPFLAG){\\n \\t\\treturn indicesBuf.asShortBuffer().limit();\\n \\t}else{\\n \\t\\treturn indicesBuf.asShortBuffer().limit()/3;\\n \\t}\\n }\",\n \"public List<FamilyMember> listAllFamilyMembers() {\\n if (isFamilyMemberMapNullOrEmpty(familyMemberMap)) {\\n return new ArrayList<>();\\n }\\n return new ArrayList<>(familyMemberMap.values());\\n }\",\n \"public void checkFaces()\\n\\tthrows InconsistencyException\\n\\t{\\n\\t\\t// first check if faces is non-null\\n\\t\\tif(faces == null)\\n\\t\\t\\tthrow new InconsistencyException(\\\"The ArrayList faces should be non-null, but is null.\\\");\\n\\n\\t\\t// check that all vertices are referenced at least three times, as each is the vertex of at least one simplex\\n\\t\\t// and in each simplex three faces meet at each vertex;\\n\\t\\t// also check that all edges are referenced at least two times\\n\\t\\t\\n\\t\\t// create an array of ints that will hold the number of references to each vertex in the list of faces...\\n\\t\\tint[] vertexReferences = new int[vertices.size()];\\n\\t\\t// ... and one that will hold the number of references to each edge...\\n\\t\\tint[] edgeReferences = new int[edges.size()];\\n\\t\\t\\n\\t\\t// ... and set all these reference counts initially to zero\\n\\t\\tfor(int i=0; i<vertexReferences.length; i++) vertexReferences[i] = 0;\\n\\t\\tfor(int i=0; i<edgeReferences.length; i++) edgeReferences[i] = 0;\\n\\t\\t\\n\\t\\t// go through all faces...\\n\\t\\tfor(Face face:faces)\\n\\t\\t{\\n\\t\\t\\t// go through all three vertices...\\n\\t\\t\\tfor(int i=0; i<3; i++)\\n\\t\\t\\t\\t// ... and increase the reference count of the vertex by 1\\n\\t\\t\\t\\tvertexReferences[face.getVertexIndices()[i]]++;\\n\\t\\t\\t// note that any vertex indices that are out of bounds will throw up an error here!\\n\\n\\t\\t\\t// go through all three edges...\\n\\t\\t\\tfor(int i=0; i<3; i++)\\n\\t\\t\\t\\t// ... and increase the reference count of the edge by 1\\n\\t\\t\\t\\tedgeReferences[face.getEdgeIndices()[i]]++;\\n\\t\\t\\t// note that any vertex indices that are out of bounds will throw up an error here!\\n\\t\\t}\\n\\n\\t\\t// check that all vertex reference counts are >= 3\\n\\t\\tfor(int i=0; i<vertexReferences.length; i++)\\n\\t\\t{\\n\\t\\t\\tif(vertexReferences[i] < 3)\\n\\t\\t\\t{\\n\\t\\t\\t\\t// vertex i is referenced fewer than 3 times\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t// throw an InconsistencyException\\n\\t\\t\\t\\tthrow(new InconsistencyException(\\\"Vertex #\\\" + i + \\\" should be referenced in the list of faces >= 3 times, but is referenced only \\\" + vertexReferences[i] + \\\" times.\\\"));\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\t// check that all edge reference counts are >= 2\\n\\t\\tfor(int i=0; i<edgeReferences.length; i++)\\n\\t\\t{\\n\\t\\t\\tif(edgeReferences[i] < 2)\\n\\t\\t\\t{\\n\\t\\t\\t\\t// edge i is referenced fewer than 2 times\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t// throw an InconsistencyException\\n\\t\\t\\t\\tthrow(new InconsistencyException(\\\"Edge #\\\" + i + \\\" should be referenced in the list of faces >= 2 times, but is referenced only \\\" + edgeReferences[i] + \\\" times.\\\"));\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\",\n \"public ArrayList<Familymember> getMyFamilymembers() {\\n\\t\\treturn myFamilymembers;\\n\\t}\",\n \"public String getFace()\\r\\n {\\r\\n face = \\\"[\\\";\\r\\n if (color != \\\"none\\\")\\r\\n {\\r\\n face += this.color + \\\" \\\";\\r\\n }\\r\\n // Switch sttements to set diffrent faces \\r\\n switch(this.value)\\r\\n {\\r\\n default: face += String.valueOf(this.value); \\r\\n break;\\r\\n case 10: face += \\\"Skip\\\"; \\r\\n break;\\r\\n case 11: face += \\\"Reverse\\\"; \\r\\n break;\\r\\n case 12: face += \\\"Draw 2\\\"; \\r\\n break;\\r\\n case 13: face += \\\"Wild\\\"; \\r\\n break;\\r\\n case 14: face += \\\"Wild Draw 4\\\"; \\r\\n break;\\r\\n }\\r\\n face += \\\"]\\\";\\r\\n return face;\\r\\n }\",\n \"public Vector3f[] getFaceVertices(int faceNumber) {\\n\\n\\t\\tint segmentNumber = 0;\\n\\n\\t\\tint indexNumber = faceNumber;\\n\\n\\t\\t// debug.println(\\\"segmentNumber, indexNumber = \\\" + segmentNumber + \\\" \\\" +\\n\\t\\t// indexNumber);\\n\\n\\t\\twhile (indexNumber >= getIndexCountInSegment(segmentNumber)) {\\n\\t\\t\\tindexNumber -= getIndexCountInSegment(segmentNumber);\\n\\t\\t\\tsegmentNumber++;\\n\\t\\t}\\n\\n\\t\\t// debug.println(\\\"segmentNumber, indexNumber = \\\" + segmentNumber + \\\" \\\" +\\n\\t\\t// indexNumber);\\n\\n\\t\\tint[] vertindexes = getModelVerticeIndicesInSegment(segmentNumber, indexNumber);\\n\\n\\t\\t// parent.println(vertindexes);\\n\\n\\t\\tVector3f[] tmp = new Vector3f[vertindexes.length];\\n\\n\\t\\tfor (int i = 0; i < tmp.length; i++) {\\n\\t\\t\\ttmp[i] = new Vector3f();\\n\\t\\t\\ttmp[i].set(getModelVertice(vertindexes[i]));\\n\\t\\t}\\n\\n\\t\\treturn tmp;\\n\\t}\",\n \"@Override\\r\\n public void onSuccess(List<Face> faces) {\\n detectFaces(faces, mutableImage);\\r\\n hideProgress();\\r\\n bottom_sheet_recycler.getAdapter().notifyDataSetChanged();\\r\\n bottomSheetBehavior.setState(BottomSheetBehavior.STATE_EXPANDED);\\r\\n\\r\\n faceDetectionCameraView.stop();\\r\\n\\r\\n imageView.setVisibility(View.VISIBLE);\\r\\n imageView.setImageBitmap(mutableImage);\\r\\n }\",\n \"public Observable<ServiceResponse<FoundFacesInner>> findFacesWithServiceResponseAsync(Boolean cacheImage) {\\n if (this.client.baseUrl() == null) {\\n throw new IllegalArgumentException(\\\"Parameter this.client.baseUrl() is required and cannot be null.\\\");\\n }\\n String parameterizedHost = Joiner.on(\\\", \\\").join(\\\"{baseUrl}\\\", this.client.baseUrl());\\n return service.findFaces(cacheImage, this.client.acceptLanguage(), parameterizedHost, this.client.userAgent())\\n .flatMap(new Func1<Response<ResponseBody>, Observable<ServiceResponse<FoundFacesInner>>>() {\\n @Override\\n public Observable<ServiceResponse<FoundFacesInner>> call(Response<ResponseBody> response) {\\n try {\\n ServiceResponse<FoundFacesInner> clientResponse = findFacesDelegate(response);\\n return Observable.just(clientResponse);\\n } catch (Throwable t) {\\n return Observable.error(t);\\n }\\n }\\n });\\n }\",\n \"public ArrayList<String[]> getFavoritePairs() {\\n ArrayList<String[]> favPairs = new ArrayList<>();\\n for(Landmark landmark : landmarks.getFavorites()) {\\n favPairs.add(new String[]{landmark.getName(), landmark.getLocation().toString(), landmark.getDescription()});\\n }\\n return favPairs;\\n }\",\n \"public FaceRectangle faceRectangle() {\\n return this.faceRectangle;\\n }\",\n \"public ArrayList<FraisHF> getListFraisH() {\\n return listeFraisHf;\\n }\",\n \"public static BufferedImage detectFace(BufferedImage newPhoto) {\\n\\t\\tIplImage faceImage = IplImage.createFrom(newPhoto);\\n\\t\\tCvHaarClassifierCascade cascade = new CvHaarClassifierCascade(cvLoad(\\\"res/haarcascade_frontalface_default.xml\\\"));\\n\\t\\tCvMemStorage storage = CvMemStorage.create();\\n\\t\\tCvSeq sign = cvHaarDetectObjects(faceImage, cascade, storage, 1.1, 3, CV_HAAR_DO_CANNY_PRUNING);\\n\\t\\tcvClearMemStorage(storage);\\n\\t\\t\\n\\t\\t//if not faces detected, returns null.\\n\\t\\tif (sign.total() == 0){\\n\\t\\t\\tnewPhoto = null;\\n\\t\\t\\tSystem.out.println(\\\"No Face\\\");\\n\\t\\t}\\n\\t\\t\\n\\t\\telse {\\n\\t\\t\\tIplImage newImage; //IplImage used to temporarily hold the face\\n\\t\\t\\tint biggest = 0; //location of biggest face\\n\\t\\t\\tint biggestSize = 0; //height of biggest face\\n\\t\\t\\tCvRect r;\\n\\t\\t\\tfor (int i = 0; i < sign.total(); i++){\\n\\t\\t\\t\\tr = new CvRect(cvGetSeqElem(sign, i));\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tif (r.height() > biggestSize){\\n\\t\\t\\t\\t\\tbiggest = i;\\n\\t\\t\\t\\t\\tbiggestSize = r.height();\\n\\t\\t\\t\\t}\\n\\t\\n\\t\\t\\t}\\n\\t\\t\\tcvResetImageROI(faceImage);\\n\\t\\t\\tr = new CvRect(cvGetSeqElem(sign, biggest));\\n\\t\\t\\tcvSetImageROI(faceImage, r);\\n\\t\\t\\t//sets size of newImage to same as face\\n\\t\\t\\tnewImage = cvCreateImage(cvGetSize(faceImage), faceImage.depth(), faceImage.nChannels());\\n\\t\\t\\t//Copies the face into newImage\\n\\t\\t\\tcvCopy(faceImage, newImage);\\n\\t\\t\\tcvResetImageROI(faceImage);\\n\\t\\t\\t//Converts back to BufferedImage\\n\\t\\t\\tnewPhoto = newImage.getBufferedImage();\\n\\t\\t}\\n\\t\\t//If null = no faces detected\\n\\t\\treturn newPhoto;\\n\\t}\",\n \"public List<FacetRequest> facets() {\\n return this.facets;\\n }\",\n \"String[] getFamilyNames() {\\n\\t\\treturn this.familyMap.keySet().toArray(new String[this.familyMap.size()]);\\n\\t}\",\n \"@Override\\n protected Face[] doInBackground(InputStream... params) {\\n FaceServiceClient faceServiceClient = SampleApp.getFaceServiceClient();\\n try {\\n publishProgress(\\\"Detecting...\\\");\\n\\n // Start detection.\\n return faceServiceClient.detect(\\n params[0], /* Input stream of image to detect */\\n true, /* Whether to return face ID */\\n true, /* Whether to return face landmarks */\\n /* Which face attributes to analyze, currently we support:\\n age,gender,headPose,smile,facialHair */\\n new FaceServiceClient.FaceAttributeType[]{\\n FaceServiceClient.FaceAttributeType.Age,\\n FaceServiceClient.FaceAttributeType.Gender,\\n FaceServiceClient.FaceAttributeType.Smile,\\n FaceServiceClient.FaceAttributeType.Glasses,\\n FaceServiceClient.FaceAttributeType.FacialHair,\\n FaceServiceClient.FaceAttributeType.Emotion,\\n FaceServiceClient.FaceAttributeType.HeadPose,\\n FaceServiceClient.FaceAttributeType.Accessories,\\n FaceServiceClient.FaceAttributeType.Blur,\\n FaceServiceClient.FaceAttributeType.Exposure,\\n FaceServiceClient.FaceAttributeType.Hair,\\n FaceServiceClient.FaceAttributeType.Makeup,\\n FaceServiceClient.FaceAttributeType.Noise,\\n FaceServiceClient.FaceAttributeType.Occlusion\\n });\\n\\n\\n } catch (Exception e) {\\n mSucceed = false;\\n publishProgress(e.getMessage());\\n return null;\\n }\\n }\",\n \"java.util.List<org.landxml.schema.landXML11.FeatureDocument.Feature> getFeatureList();\",\n \"java.util.List<org.landxml.schema.landXML11.FeatureDocument.Feature> getFeatureList();\",\n \"public static ArrayList<String> getColorsDetected() {\\n return colorsDetected;\\n }\",\n \"@Override\\n protected Face[] doInBackground(InputStream... params) {\\n FaceServiceClient faceServiceClient = SampleApp.getFaceServiceClient();\\n try {\\n publishProgress(\\\"Detecting...\\\");\\n\\n // Start detection.\\n return faceServiceClient.detect(\\n params[0], /* Input stream of image to detect */\\n true, /* Whether to return face ID */\\n true, /* Whether to return face landmarks */\\n /* Which face attributes to analyze, currently we support:\\n age,gender,headPose,smile,facialHair */\\n new FaceServiceClient.FaceAttributeType[] {\\n FaceServiceClient.FaceAttributeType.Age,\\n FaceServiceClient.FaceAttributeType.Gender,\\n FaceServiceClient.FaceAttributeType.Smile,\\n FaceServiceClient.FaceAttributeType.Glasses,\\n FaceServiceClient.FaceAttributeType.FacialHair,\\n FaceServiceClient.FaceAttributeType.Emotion,\\n FaceServiceClient.FaceAttributeType.HeadPose,\\n FaceServiceClient.FaceAttributeType.Accessories,\\n FaceServiceClient.FaceAttributeType.Blur,\\n FaceServiceClient.FaceAttributeType.Exposure,\\n FaceServiceClient.FaceAttributeType.Hair,\\n FaceServiceClient.FaceAttributeType.Makeup,\\n FaceServiceClient.FaceAttributeType.Noise,\\n FaceServiceClient.FaceAttributeType.Occlusion\\n });\\n } catch (Exception e) {\\n mSucceed = false;\\n publishProgress(e.getMessage());\\n return null;\\n }\\n }\",\n \"List<IShape> getVisibleShapes();\",\n \"public void inferFacesFromEdges()\\n\\tthrows InconsistencyException\\n\\t{\\n\\t\\t// first empty the list of faces\\n\\t\\tif(faces == null)\\n\\t\\t\\tfaces = new ArrayList<Face>();\\n\\t\\telse\\n\\t\\t\\tfaces.clear();\\n\\n\\t\\t// go through all vertices\\n\\t\\tfor(int v=0; v<vertices.size(); v++)\\n\\t\\t{\\n\\t\\t\\t// first find all edges with vertex #v and other vertex #w, where w>v\\n\\t\\t\\t// (if w<v, then that face will already have been detected earlier)...\\n\\t\\t\\t\\n\\t\\t\\t// ... by creating an array that will hold the edge indices...\\n\\t\\t\\tArrayList<Integer> indicesOfEdgesAtVertex = new ArrayList<Integer>();\\n\\t\\t\\t\\n\\t\\t\\t// ... and populating it by going through all the edges\\n\\t\\t\\tfor(int e=0; e<edges.size(); e++)\\n\\t\\t\\t{\\n\\t\\t\\t\\t// does edge #e start or finish at vertex #v, and if so is the index of the other vertex >v?\\n\\t\\t\\t\\tif(edges.get(e).getOtherVertexIndex(v) > v)\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\t// yes\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t// add it to the list of edges that start or finish at this vertex\\n\\t\\t\\t\\t\\tindicesOfEdgesAtVertex.add(e);\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\t// System.out.println(\\\"SimplicialComplex::inferFacesFromEdges: indices of edges meeting at vertex #\\\"+v+\\\": \\\" + indicesOfEdgesAtVertex.toString());\\n\\t\\t\\t\\n\\t\\t\\t// second, go through all pairs of edges that start or finish at vertex #v;\\n\\t\\t\\t// each such pair represents two of the three edges of a face that meets at vertex #v\\n\\t\\t\\tfor(int e1=0; e1<indicesOfEdgesAtVertex.size(); e1++)\\n\\t\\t\\t\\tfor(int e2=e1+1; e2<indicesOfEdgesAtVertex.size(); e2++)\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\t// create an empty face\\n\\t\\t\\t\\t\\tFace face = new Face(this);\\n\\t\\t\\t\\t\\t\\n//\\t\\t\\t\\t\\tSystem.out.println(\\\"SimplicialComplex::inferFacesFromEdges: e1=\\\" + e1 + \\\", e2=\\\" + e2);\\n//\\t\\t\\t\\t\\tSystem.out.println(\\\"SimplicialComplex::inferFacesFromEdges: edges: \\\"+edges.get(indicesOfEdgesAtVertex.get(e1)) + \\\", \\\" + edges.get(indicesOfEdgesAtVertex.get(e2)));\\n//\\t\\t\\t\\t\\tSystem.out.println(\\\"SimplicialComplex::inferFacesFromEdges: other vertex indices: \\\"+edges.get(indicesOfEdgesAtVertex.get(e1)).getOtherVertexIndex(v) + \\\", \\\" + edges.get(indicesOfEdgesAtVertex.get(e2)).getOtherVertexIndex(v));\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t// set the face's vertex indices...\\n\\t\\t\\t\\t\\tface.setVertexIndices(v, edges.get(indicesOfEdgesAtVertex.get(e1)).getOtherVertexIndex(v), edges.get(indicesOfEdgesAtVertex.get(e2)).getOtherVertexIndex(v));\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t// ... and from these infer the edge indices\\n\\t\\t\\t\\t\\ttry {\\n\\t\\t\\t\\t\\t\\t// see if it is possible to infer the edges...\\n\\t\\t\\t\\t\\t\\tface.inferEdgeIndices();\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t// ... and if it is, add the face to the list of faces\\n\\t\\t\\t\\t\\t\\tfaces.add(face);\\n\\t\\t\\t\\t\\t} catch (InconsistencyException e) {}\\n\\t\\t\\t\\t}\\n\\t\\t}\\n\\t}\",\n \"List<Feature> getFeatures();\",\n \"public Set<Frage> getAlleFragen() {\\r\\n Set<Frage> result = new HashSet<Frage>();\\r\\n Set<FrageDTO> fragen = dataStore.getAlleFragen();\\r\\n for (FrageDTO dto : fragen) {\\r\\n int frageId = dto.getId();\\r\\n List<String> antworten = dataStore.getAntwortenById(frageId);\\r\\n List<Integer> votes = dataStore.getVotings(frageId);\\r\\n Frage frage = new Frage(dto.getId(), dto.getText(),\\r\\n dto.getStatus(), antworten, votes);\\r\\n result.add(frage);\\r\\n }\\r\\n return result;\\r\\n }\",\n \"public List<FrameFaceRects> getFaceRects(long startTime, long endTime) {\\n if(frameDataMap == null){\\n return Collections.emptyList();\\n }\\n List<FrameFaceRects> result = new ArrayList<>();\\n final int size = frameDataMap.size();\\n for (int i = 0; i < size ; i++) {\\n long key = CommonUtils.timeToFrame(frameDataMap.keyAt(i), TimeUnit.SECONDS);\\n if(key >= startTime && key <= endTime){\\n FrameFaceRects faceRects = frameDataMap.valueAt(i).getFaceRects();\\n if(faceRects != null) {\\n result.add(faceRects);\\n }\\n }\\n }\\n return result;\\n }\",\n \"public static String[] getFamilyNames() {\\n if (fonts == null) {\\n getAllFonts();\\n }\\n\\n return (String[]) families.toArray(new String[0]);\\n }\",\n \"@Override\\n public void onUpdate(FaceDetector.Detections<Face> detectionResults, Face face)\\n {\\n int facesFound = detectionResults.getDetectedItems().size();\\n\\n faceTrackingListener.onFaceDetected(facesFound);\\n }\",\n \"public Set<VCube> getSupportedCubes();\",\n \"public FriendList[] getFriendsLists();\",\n \"boolean hasFaceUp();\",\n \"public List<FactoryArrayStorage<?>> getVertices() {\\n return mFactoryVertices;\\n }\",\n \"@DISPID(1610940431) //= 0x6005000f. The runtime will prefer the VTID if present\\n @VTID(37)\\n Collection userSurfaces();\",\n \"public List<FacesMessage> getMessages() {\\n return FxJsfUtils.getMessages(null);\\n }\",\n \"public void startFaceDetection() {\\n /*\\n r6 = this;\\n r0 = r6.mFaceDetectionStarted;\\n if (r0 != 0) goto L_0x004a;\\n L_0x0004:\\n r0 = r6.mCameraDevice;\\n if (r0 == 0) goto L_0x004a;\\n L_0x0008:\\n r0 = r6.needFaceDetection();\\n if (r0 != 0) goto L_0x000f;\\n L_0x000e:\\n goto L_0x004a;\\n L_0x000f:\\n r0 = r6.mCameraCapabilities;\\n r0 = r0.getMaxNumOfFacesSupported();\\n if (r0 <= 0) goto L_0x0049;\\n L_0x0017:\\n r0 = 1;\\n r6.mFaceDetectionStarted = r0;\\n r1 = r6.mCameraDevice;\\n r2 = r6.mHandler;\\n r3 = r6.mUI;\\n r1.setFaceDetectionCallback(r2, r3);\\n r1 = r6.mUI;\\n r2 = r6.mDisplayOrientation;\\n r3 = r6.isCameraFrontFacing();\\n r4 = r6.mCameraId;\\n r4 = r6.cropRegionForZoom(r4);\\n r5 = 1065353216; // 0x3f800000 float:1.0 double:5.263544247E-315;\\n r1.onStartFaceDetection(r2, r3, r4, r5);\\n r1 = TAG;\\n r2 = \\\"startFaceDetection\\\";\\n com.hmdglobal.app.camera.debug.Log.w(r1, r2);\\n r1 = r6.mCameraDevice;\\n r1.startFaceDetection();\\n r1 = com.hmdglobal.app.camera.util.SessionStatsCollector.instance();\\n r1.faceScanActive(r0);\\n L_0x0049:\\n return;\\n L_0x004a:\\n return;\\n */\\n throw new UnsupportedOperationException(\\\"Method not decompiled: com.hmdglobal.app.camera.PhotoModule.startFaceDetection():void\\\");\\n }\",\n \"public Fence[] getAllFences() {\\n/* 622 */ Set<Fence> fenceSet = new HashSet<>();\\n/* 623 */ if (this.fences != null)\\n/* */ {\\n/* 625 */ for (Fence f : this.fences.values())\\n/* */ {\\n/* 627 */ fenceSet.add(f);\\n/* */ }\\n/* */ }\\n/* */ \\n/* 631 */ VolaTile eastTile = this.zone.getTileOrNull(this.tilex + 1, this.tiley);\\n/* 632 */ if (eastTile != null) {\\n/* */ \\n/* 634 */ Fence[] eastFences = eastTile.getFencesForDir(Tiles.TileBorderDirection.DIR_DOWN);\\n/* 635 */ for (int x = 0; x < eastFences.length; x++)\\n/* */ {\\n/* 637 */ fenceSet.add(eastFences[x]);\\n/* */ }\\n/* */ } \\n/* */ \\n/* 641 */ VolaTile southTile = this.zone.getTileOrNull(this.tilex, this.tiley + 1);\\n/* 642 */ if (southTile != null) {\\n/* */ \\n/* 644 */ Fence[] southFences = southTile.getFencesForDir(Tiles.TileBorderDirection.DIR_HORIZ);\\n/* 645 */ for (int x = 0; x < southFences.length; x++)\\n/* */ {\\n/* 647 */ fenceSet.add(southFences[x]);\\n/* */ }\\n/* */ } \\n/* */ \\n/* 651 */ if (fenceSet.size() == 0) {\\n/* 652 */ return emptyFences;\\n/* */ }\\n/* 654 */ return fenceSet.<Fence>toArray(new Fence[fenceSet.size()]);\\n/* */ }\",\n \"public void recognize(){\\n\\t String dirOfFace =\\\".\\\\\\\\Faces\\\";\\n\\t String dirOfTestFaces =\\\".\\\\\\\\TestFaces\\\";\\n\\t \\n\\t File root = new File(dirOfFace);\\n File Testfaces = new File(dirOfTestFaces);\\n FilenameFilter imgFilter = new FilenameFilter() {\\n\\n public boolean accept(File dir, String name) {\\n\\n name = name.toLowerCase();\\n\\n return name.endsWith(\\\".jpg\\\") || name.endsWith(\\\".pgm\\\") || name.endsWith(\\\".png\\\");\\n\\n }\\n\\n };\\n \\n File[] imageFiles = Testfaces.listFiles(imgFilter);\\n for (File image : imageFiles) {\\n Recognizer fd = new Recognizer();\\n int rollno=0;\\n rollno = fd.returnPredict(image,root);\\n System.out.println(rollno);\\n try {\\n db.AttendenceTable(rollno);\\n } catch (ClassNotFoundException ex) {\\n JOptionPane.showMessageDialog(null, ex);\\n }\\n }\\n\\n\\n }\",\n \"public ArrayList<String> loadFavorites() {\\n\\n\\t\\tSAVE_FILE = FAVORITE_FILE;\\n\\t\\tArrayList<String> list = new ArrayList<String>();\\n\\t\\tlist = loadIds();\\n\\t\\treturn list;\\n\\t}\",\n \"public java.util.List<V> getVertices();\",\n \"boolean getFaceDetectionPref();\",\n \"public interface FaceTrackingListener {\\n void onFaceLeftMove();\\n void onFaceRightMove();\\n void onFaceUpMove();\\n void onFaceDownMove();\\n void onGoodSmile();\\n void onEyeCloseError();\\n void onMouthOpenError();\\n void onMultipleFaceError();\\n\\n}\",\n \"public void FPrimeEvent(ArrayList<ArrayList<Shape>> faces) {\\r\\n \\tint u1 = CUBE7, l1 = CUBE9, r1 = CUBE1, b1 = CUBE3;\\r\\n \\tfor(int i = 0; i < 3; i++) {\\r\\n \\t\\tColor color = faces.get(TOP).get(u1).getColor();\\r\\n \\tfaces.get(TOP).get(u1).changeColor(faces.get(RIGHT).get(r1).getColor());\\r\\n \\tfaces.get(RIGHT).get(r1).changeColor(faces.get(BOTTOM).get(b1).getColor());\\r\\n \\tfaces.get(BOTTOM).get(b1).changeColor(faces.get(LEFT).get(l1).getColor());\\r\\n \\tfaces.get(LEFT).get(l1).changeColor(color);\\r\\n \\tu1++;\\r\\n \\tl1 -= SHIFT_ROW;\\r\\n \\tb1--;\\r\\n \\tr1 += SHIFT_ROW;\\r\\n \\t} \\r\\n \\r\\n \\tColor color = faces.get(FRONT).get(CUBE1).getColor();\\r\\n \\tfaces.get(FRONT).get(CUBE1).changeColor(faces.get(FRONT).get(CUBE3).getColor());\\r\\n \\tfaces.get(FRONT).get(CUBE3).changeColor(faces.get(FRONT).get(CUBE9).getColor());\\r\\n \\tfaces.get(FRONT).get(CUBE9).changeColor(faces.get(FRONT).get(CUBE7).getColor());\\r\\n \\tfaces.get(FRONT).get(CUBE7).changeColor(color);\\r\\n \\tcolor = faces.get(FRONT).get(CUBE2).getColor();\\r\\n \\tfaces.get(FRONT).get(CUBE2).changeColor(faces.get(FRONT).get(CUBE6).getColor());\\r\\n \\tfaces.get(FRONT).get(CUBE6).changeColor(faces.get(FRONT).get(CUBE8).getColor());\\r\\n \\tfaces.get(FRONT).get(CUBE8).changeColor(faces.get(FRONT).get(CUBE4).getColor());\\r\\n \\tfaces.get(FRONT).get(CUBE4).changeColor(color);\\r\\n }\",\n \"public FamilyInfo[] getFamilyInfo() {\\n return familyInfo;\\n }\",\n \"public ArrayList<Collidable> getNeighbors();\",\n \"public Figure[] getFigures() {\\n return figures;\\n }\",\n \"public static List<IEssence> getRegisteredEssences() {\\n ArrayList<IEssence> essences = new ArrayList();\\n MagicStaffs.ITEMS\\n .stream()\\n .filter(item -> item instanceof IEssence)\\n .forEach(item -> essences.add((IEssence) item));\\n return essences;\\n }\",\n \"public boolean needFaceDetection() {\\n return true;\\n }\",\n \"java.util.List<message.Figure.FigureData.FigureBase> \\n getFigureListList();\",\n \"public static ArrayList<FamilyType> getAvailableFamilies() {\\n ArrayList<FamilyType> allFamilies = new ArrayList<FamilyType>();\\n File dir = new File(getRapidSmithPath() + File.separator + \\\"devices\\\");\\n if (!dir.exists()) {\\n MessageGenerator.briefErrorAndExit(\\\"ERROR: No part files exist. Please run \\\" +\\n Installer.class.getCanonicalName() + \\\" to create part files.\\\");\\n }\\n for (String partFamily : dir.list()) {\\n FamilyType type = PartNameTools.getFamilyTypeFromFamilyName(partFamily);\\n if (type != null) allFamilies.add(type);\\n }\\n\\n return allFamilies;\\n }\",\n \"java.util.List<uk.ac.cam.acr31.features.javac.proto.GraphProtos.FeatureEdge> \\n getEdgeList();\",\n \"protected abstract void setFaces();\",\n \"public java.util.List<org.landxml.schema.landXML11.FeatureDocument.Feature> getFeatureList()\\r\\n {\\r\\n final class FeatureList extends java.util.AbstractList<org.landxml.schema.landXML11.FeatureDocument.Feature>\\r\\n {\\r\\n public org.landxml.schema.landXML11.FeatureDocument.Feature get(int i)\\r\\n { return IntersectionImpl.this.getFeatureArray(i); }\\r\\n \\r\\n public org.landxml.schema.landXML11.FeatureDocument.Feature set(int i, org.landxml.schema.landXML11.FeatureDocument.Feature o)\\r\\n {\\r\\n org.landxml.schema.landXML11.FeatureDocument.Feature old = IntersectionImpl.this.getFeatureArray(i);\\r\\n IntersectionImpl.this.setFeatureArray(i, o);\\r\\n return old;\\r\\n }\\r\\n \\r\\n public void add(int i, org.landxml.schema.landXML11.FeatureDocument.Feature o)\\r\\n { IntersectionImpl.this.insertNewFeature(i).set(o); }\\r\\n \\r\\n public org.landxml.schema.landXML11.FeatureDocument.Feature remove(int i)\\r\\n {\\r\\n org.landxml.schema.landXML11.FeatureDocument.Feature old = IntersectionImpl.this.getFeatureArray(i);\\r\\n IntersectionImpl.this.removeFeature(i);\\r\\n return old;\\r\\n }\\r\\n \\r\\n public int size()\\r\\n { return IntersectionImpl.this.sizeOfFeatureArray(); }\\r\\n \\r\\n }\\r\\n \\r\\n synchronized (monitor())\\r\\n {\\r\\n check_orphaned();\\r\\n return new FeatureList();\\r\\n }\\r\\n }\",\n \"public void startFaceDetection() {\\n /*\\n r4 = this;\\n r0 = r4.mFaceDetectionStarted;\\n if (r0 != 0) goto L_0x0036;\\n L_0x0004:\\n r0 = r4.mCameraDevice;\\n if (r0 == 0) goto L_0x0036;\\n L_0x0008:\\n r0 = r4.needFaceDetection();\\n if (r0 != 0) goto L_0x000f;\\n L_0x000e:\\n goto L_0x0036;\\n L_0x000f:\\n r0 = r4.mCameraCapabilities;\\n r0 = r0.getMaxNumOfFacesSupported();\\n if (r0 <= 0) goto L_0x0035;\\n L_0x0017:\\n r0 = 1;\\n r4.mFaceDetectionStarted = r0;\\n r1 = TAG;\\n r2 = \\\"startFaceDetection\\\";\\n com.hmdglobal.app.camera.debug.Log.w(r1, r2);\\n r1 = r4.mCameraDevice;\\n r2 = r4.mHandler;\\n r3 = 0;\\n r1.setFaceDetectionCallback(r2, r3);\\n r1 = r4.mCameraDevice;\\n r1.startFaceDetection();\\n r1 = com.hmdglobal.app.camera.util.SessionStatsCollector.instance();\\n r1.faceScanActive(r0);\\n L_0x0035:\\n return;\\n L_0x0036:\\n return;\\n */\\n throw new UnsupportedOperationException(\\\"Method not decompiled: com.hmdglobal.app.camera.VideoModule.startFaceDetection():void\\\");\\n }\",\n \"public Fence[] getFencesForDir(Tiles.TileBorderDirection dir) {\\n/* 713 */ if (this.fences != null) {\\n/* */ \\n/* 715 */ Set<Fence> fenceSet = new HashSet<>();\\n/* 716 */ for (Fence f : this.fences.values()) {\\n/* */ \\n/* 718 */ if (f.getDir() == dir)\\n/* 719 */ fenceSet.add(f); \\n/* */ } \\n/* 721 */ return fenceSet.<Fence>toArray(new Fence[fenceSet.size()]);\\n/* */ } \\n/* */ \\n/* 724 */ return emptyFences;\\n/* */ }\",\n \"public List<EnumerationValue> getGenders()\\r\\n\\t{\\r\\n\\t\\treturn getGenders( getSession().getSessionContext() );\\r\\n\\t}\",\n \"public RubiksFace getRubiksFace(RubiksFace.RubiksFacePosition position) {\\n for (RubiksFace face : rubiksFaceList) {\\n if (face.getFacePosition() == position) {\\n return face;\\n }\\n }\\n\\n return null;\\n }\",\n \"public int getFaceValue ()\\n {\\n return faceValue;\\n }\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7671269","0.74346423","0.7110249","0.69152063","0.6914806","0.6282762","0.6270876","0.6183134","0.6173269","0.59021","0.57824975","0.573041","0.56643003","0.564971","0.5503765","0.5503765","0.5493121","0.5472918","0.54561985","0.54503137","0.5445359","0.5438217","0.5424949","0.53719544","0.5351843","0.5326439","0.5326068","0.53090054","0.53023833","0.5296062","0.5295592","0.5272549","0.5265757","0.52628744","0.5261844","0.5258342","0.52380085","0.523216","0.5228622","0.5220437","0.5211711","0.51961994","0.519323","0.51793844","0.51790965","0.5144855","0.5139445","0.51311815","0.51278555","0.51215196","0.5099933","0.5098753","0.50799763","0.50187486","0.5003311","0.49902925","0.49665478","0.49383876","0.4935045","0.49341398","0.49158943","0.49131832","0.49131832","0.48941943","0.48933253","0.4861942","0.48613474","0.4856936","0.4849662","0.4838657","0.48326936","0.48268154","0.48206407","0.48178247","0.48174852","0.4817468","0.47712275","0.4767462","0.47658026","0.47595116","0.47519153","0.47490704","0.4739418","0.47358188","0.4735485","0.4734326","0.47309512","0.4717867","0.4716547","0.47137016","0.4708087","0.4707141","0.47064495","0.4699346","0.46987182","0.46968743","0.4692541","0.46819395","0.46757564","0.4675456","0.46662667"],"string":"[\n \"0.7671269\",\n \"0.74346423\",\n \"0.7110249\",\n \"0.69152063\",\n \"0.6914806\",\n \"0.6282762\",\n \"0.6270876\",\n \"0.6183134\",\n \"0.6173269\",\n \"0.59021\",\n \"0.57824975\",\n \"0.573041\",\n \"0.56643003\",\n \"0.564971\",\n \"0.5503765\",\n \"0.5503765\",\n \"0.5493121\",\n \"0.5472918\",\n \"0.54561985\",\n \"0.54503137\",\n \"0.5445359\",\n \"0.5438217\",\n \"0.5424949\",\n \"0.53719544\",\n \"0.5351843\",\n \"0.5326439\",\n \"0.5326068\",\n \"0.53090054\",\n \"0.53023833\",\n \"0.5296062\",\n \"0.5295592\",\n \"0.5272549\",\n \"0.5265757\",\n \"0.52628744\",\n \"0.5261844\",\n \"0.5258342\",\n \"0.52380085\",\n \"0.523216\",\n \"0.5228622\",\n \"0.5220437\",\n \"0.5211711\",\n \"0.51961994\",\n \"0.519323\",\n \"0.51793844\",\n \"0.51790965\",\n \"0.5144855\",\n \"0.5139445\",\n \"0.51311815\",\n \"0.51278555\",\n \"0.51215196\",\n \"0.5099933\",\n \"0.5098753\",\n \"0.50799763\",\n \"0.50187486\",\n \"0.5003311\",\n \"0.49902925\",\n \"0.49665478\",\n \"0.49383876\",\n \"0.4935045\",\n \"0.49341398\",\n \"0.49158943\",\n \"0.49131832\",\n \"0.49131832\",\n \"0.48941943\",\n \"0.48933253\",\n \"0.4861942\",\n \"0.48613474\",\n \"0.4856936\",\n \"0.4849662\",\n \"0.4838657\",\n \"0.48326936\",\n \"0.48268154\",\n \"0.48206407\",\n \"0.48178247\",\n \"0.48174852\",\n \"0.4817468\",\n \"0.47712275\",\n \"0.4767462\",\n \"0.47658026\",\n \"0.47595116\",\n \"0.47519153\",\n \"0.47490704\",\n \"0.4739418\",\n \"0.47358188\",\n \"0.4735485\",\n \"0.4734326\",\n \"0.47309512\",\n \"0.4717867\",\n \"0.4716547\",\n \"0.47137016\",\n \"0.4708087\",\n \"0.4707141\",\n \"0.47064495\",\n \"0.4699346\",\n \"0.46987182\",\n \"0.46968743\",\n \"0.4692541\",\n \"0.46819395\",\n \"0.46757564\",\n \"0.4675456\",\n \"0.46662667\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":12399,"cells":{"query":{"kind":"string","value":"Returns any text found in the image for the language specified. If no language is specified in input then the detection defaults to English."},"document":{"kind":"string","value":"public Observable<OCRInner> oCRUrlInputAsync(String language, String contentType, BodyModelInner imageUrl) {\n return oCRUrlInputWithServiceResponseAsync(language, contentType, imageUrl).map(new Func1<ServiceResponse<OCRInner>, OCRInner>() {\n @Override\n public OCRInner call(ServiceResponse<OCRInner> response) {\n return response.body();\n }\n });\n }"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["public String detectLanguage(String text) {\n\t\treturn dictionary.detectLanguage(text);\n\t}","public boolean translateImageToText();","@SuppressWarnings(\"static-access\")\n\tpublic void detection(Request text) {\n\t\t//Fichiertxt fichier;\n\t\ttry {\t\t\t\t\t\n\t\t\t//enregistrement et affichage de la langue dans une variable lang\n\t\t\ttext.setLang(identifyLanguage(text.getCorpText()));\n\t\t\t//Ajoute le fichier traité dans la Base\n\t\t\tajouterTexte(text);\n\t\t} catch (Exception e) {\n\t\t\tSystem.out.println(\"fichier texte non trouvé\");\n\t e.printStackTrace();\n\t\t}\n\t}","public MashapeResponse<JSONObject> classifytext(String lang, String text) {\n return classifytext(lang, text, \"\");\n }","static WordList get(Language language) {\n return switch (language) {\n case ENGLISH -> readResource(\"bip39_english.txt\");\n };\n }","void readText(final Bitmap imageBitmap){\n\t\tif(imageBitmap != null) {\n\t\t\t\n\t\t\tTextRecognizer textRecognizer = new TextRecognizer.Builder(this).build();\n\t\t\t\n\t\t\tif(!textRecognizer.isOperational()) {\n\t\t\t\t// Note: The first time that an app using a Vision API is installed on a\n\t\t\t\t// device, GMS will download a native libraries to the device in order to do detection.\n\t\t\t\t// Usually this completes before the app is run for the first time. But if that\n\t\t\t\t// download has not yet completed, then the above call will not detect any text,\n\t\t\t\t// barcodes, or faces.\n\t\t\t\t// isOperational() can be used to check if the required native libraries are currently\n\t\t\t\t// available. The detectors will automatically become operational once the library\n\t\t\t\t// downloads complete on device.\n\t\t\t\tLog.w(TAG, \"Detector dependencies are not yet available.\");\n\t\t\t\t\n\t\t\t\t// Check for low storage. If there is low storage, the native library will not be\n\t\t\t\t// downloaded, so detection will not become operational.\n\t\t\t\tIntentFilter lowstorageFilter = new IntentFilter(Intent.ACTION_DEVICE_STORAGE_LOW);\n\t\t\t\tboolean hasLowStorage = registerReceiver(null, lowstorageFilter) != null;\n\t\t\t\t\n\t\t\t\tif (hasLowStorage) {\n\t\t\t\t\tToast.makeText(this,\"Low Storage\", Toast.LENGTH_LONG).show();\n\t\t\t\t\tLog.w(TAG, \"Low Storage\");\n\t\t\t\t}\n\t\t\t}\n\t\t\t\n\t\t\t\n\t\t\tFrame imageFrame = new Frame.Builder()\n\t\t\t\t\t.setBitmap(imageBitmap)\n\t\t\t\t\t.build();\n\t\t\t\n\t\t\tSparseArray<TextBlock> textBlocks = textRecognizer.detect(imageFrame);\n\t\t\tdata.setText(\"\");\n\t\t\tfor (int i = 0; i < textBlocks.size(); i++) {\n\t\t\t\tTextBlock textBlock = textBlocks.get(textBlocks.keyAt(i));\n\t\t\t\tPoint[] points = textBlock.getCornerPoints();\n\t\t\t\tLog.i(TAG, textBlock.getValue());\n\t\t\t\tString corner = \"\";\n\t\t\t\tfor(Point point : points){\n\t\t\t\t\tcorner += point.toString();\n\t\t\t\t}\n\t\t\t\t//data.setText(data.getText() + \"\\n\" + corner);\n\t\t\t\tdata.setText(data.getText()+ \"\\n \"+ textBlock.getValue() + \" \\n\" );\n\t\t\t\t// Do something with value\n /*List<? extends Text> textComponents = textBlock.getComponents();\n for(Text currentText : textComponents) {\n // Do your thing here }\n mImageDetails.setText(mImageDetails.getText() + \"\\n\" + currentText);\n }*/\n\t\t\t}\n\t\t}\n\t}","public String getEnglish()\n {\n if (spanishWord.substring(0,3).equals(\"el \"))\n {\n spanishWord = spanishWord.substring(3, spanishWord.length());\n }\n else if (spanishWord.substring(0, 3).equals(\"la \"))\n {\n spanishWord = spanishWord.substring(3, spanishWord.length());\n }\n if (spanishWord.equals(\"estudiante\"))\n {\n return \"student\"; \n }\n else if (spanishWord.equals(\"aprender\"))\n {\n return \"to learn\";\n }\n else if (spanishWord.equals(\"entender\"))\n {\n return\"to understand\";\n }\n else if (spanishWord.equals(\"verde\"))\n {\n return \"green\";\n }\n else\n {\n return null;\n }\n }","java.lang.String getLanguage();","java.lang.String getLanguage();","private void detextTextFromImage(Bitmap imageBitmap) {\n\n\n FirebaseVisionImage image = FirebaseVisionImage.fromBitmap(imageBitmap);\n\n FirebaseVisionTextRecognizer firebaseVisionTextRecognizer = FirebaseVision.getInstance().getCloudTextRecognizer();\n\n firebaseVisionTextRecognizer.processImage(image)\n .addOnSuccessListener(new OnSuccessListener<FirebaseVisionText>() {\n @Override\n public void onSuccess(FirebaseVisionText firebaseVisionText) {\n String text = firebaseVisionText.getText();\n\n if (text.isEmpty() || text == null)\n Toast.makeText(ctx, \"Can not identify. Try again!\", Toast.LENGTH_SHORT).show();\n\n else {\n\n startTranslateIntent(text);\n }\n }\n })\n .addOnFailureListener(\n new OnFailureListener() {\n @Override\n public void onFailure(@NonNull Exception e) {\n e.printStackTrace();\n }\n });\n\n\n }","public synchronized Result process(String text, String lang) {\n // Check that service has been initialized.\n if (!this.initialized) {\n logInitializationError();\n return null;\n }\n this.cas.reset();\n this.cas.setDocumentText(text);\n if (lang != null) {\n this.cas.setDocumentLanguage(lang);\n }\n try {\n this.ae.process(this.cas);\n } catch (AnalysisEngineProcessException e) {\n getLogger().log(Level.SEVERE, \"\", e);\n return null;\n }\n return this.resultExtractor.getResult(this.cas, this.serviceSpec);\n }","private static AnalysisResults.Builder retrieveText(ByteString imageBytes) throws IOException {\n AnalysisResults.Builder analysisBuilder = new AnalysisResults.Builder();\n\n Image image = Image.newBuilder().setContent(imageBytes).build();\n ImmutableList<Feature> features =\n ImmutableList.of(Feature.newBuilder().setType(Feature.Type.TEXT_DETECTION).build(),\n Feature.newBuilder().setType(Feature.Type.LOGO_DETECTION).build());\n AnnotateImageRequest request =\n AnnotateImageRequest.newBuilder().addAllFeatures(features).setImage(image).build();\n ImmutableList<AnnotateImageRequest> requests = ImmutableList.of(request);\n\n try (ImageAnnotatorClient client = ImageAnnotatorClient.create()) {\n BatchAnnotateImagesResponse batchResponse = client.batchAnnotateImages(requests);\n\n if (batchResponse.getResponsesList().isEmpty()) {\n return analysisBuilder;\n }\n\n AnnotateImageResponse response = Iterables.getOnlyElement(batchResponse.getResponsesList());\n\n if (response.hasError()) {\n return analysisBuilder;\n }\n\n // Add extracted raw text to builder.\n if (!response.getTextAnnotationsList().isEmpty()) {\n // First element has the entire raw text from the image.\n EntityAnnotation textAnnotation = response.getTextAnnotationsList().get(0);\n\n String rawText = textAnnotation.getDescription();\n analysisBuilder.setRawText(rawText);\n }\n\n // If a logo was detected with a confidence above the threshold, use it to set the store.\n if (!response.getLogoAnnotationsList().isEmpty()\n && response.getLogoAnnotationsList().get(0).getScore()\n > LOGO_DETECTION_CONFIDENCE_THRESHOLD) {\n String store = response.getLogoAnnotationsList().get(0).getDescription();\n analysisBuilder.setStore(store);\n }\n } catch (ApiException e) {\n // Return default builder if image annotation request failed.\n return analysisBuilder;\n }\n\n return analysisBuilder;\n }","public java.lang.String getLanguage() {\n return _courseImage.getLanguage();\n }","public void ocrExtraction(BufferedImage image) {\n\t\tFile outputfile = new File(\"temp.png\");\n\t\toutputfile.deleteOnExit();\n\t\tString ocrText = \"\", currLine = \"\";\n\t\ttry {\n\t\t\tImageIO.write(image, \"png\", outputfile);\n\n\t\t\t// System call to Tesseract OCR\n\t\t\tRuntime r = Runtime.getRuntime();\n\t\t\tProcess p = r.exec(\"tesseract temp.png ocrText -psm 6\");\n//\t\t\tProcess p = r.exec(\"tesseract temp.png ocrText\");\n\t\t\tp.waitFor();\n\n\t\t\t// Read text file generated by tesseract\n\t\t\tFile f = new File(\"ocrText.txt\");\n\t\t\tf.deleteOnExit();\n\t\t\tBufferedReader br = new BufferedReader(new FileReader(f));\n\t\t\t\n\t\t\twhile ((currLine = br.readLine()) != null) {\n\t\t\t\tocrText += (currLine + \" \");\n\t\t\t}\n\t\t\tif(ocrText.trim().isEmpty()) {\n\t\t\t\tocrText = \"OCR_FAIL\";\n\t\t\t}\n\t\t\tbr.close();\n\t\t}\n\t\tcatch (Exception e) {\n\t\t\te.printStackTrace();\n\t\t}\n\n\t\ttextField.setText(ocrText.trim());\n\t\ttextField.requestFocus();\n\t\ttextField.selectAll();\n\t}","String getLanguage();","String getLanguage();","String getLanguage();","public String getTitile(String language) {\n if (language.startsWith(\"e\")) {\n return enTitle;\n } else {\n return localTitle;\n }\n }","public String scanText(BufferedImage image) throws IOException {\n File tmpImgFile = File.createTempFile(\"tmpImg\", \".jpg\");\n ImageIO.write(image, \"jpg\", tmpImgFile);\n String rawData = TesseractWrapper.runTesseract(tmpImgFile.getAbsolutePath());\n tmpImgFile.delete();\n return rawData;\n }","public MashapeResponse<JSONObject> classifytext(String lang, String text, String exclude) {\n Map<String, Object> parameters = new HashMap<String, Object>();\n if (lang != null && !lang.equals(\"\")) {\n\tparameters.put(\"lang\", lang);\n }\n \n \n if (text != null && !text.equals(\"\")) {\n\tparameters.put(\"text\", text);\n }\n \n \n if (exclude != null && !exclude.equals(\"\")) {\n\tparameters.put(\"exclude\", exclude);\n }\n \n \n return (MashapeResponse<JSONObject>) HttpClient.doRequest(JSONObject.class,\n HttpMethod.POST,\n \"https://\" + PUBLIC_DNS + \"/sentiment/current/classify_text/\",\n parameters,\n ContentType.FORM,\n ResponseType.JSON,\n authenticationHandlers);\n }","protected VideoText[] analyze(File imageFile, String id) throws TextAnalyzerException {\n boolean languagesInstalled;\n if (dictionaryService.getLanguages().length == 0) {\n languagesInstalled = false;\n logger.warn(\"There are no language packs installed. All text extracted from video will be considered valid.\");\n } else {\n languagesInstalled = true;\n }\n\n List<VideoText> videoTexts = new ArrayList<VideoText>();\n TextFrame textFrame = null;\n try {\n textFrame = textExtractor.extract(imageFile);\n } catch (IOException e) {\n logger.warn(\"Error reading image file {}: {}\", imageFile, e.getMessage());\n throw new TextAnalyzerException(e);\n } catch (TextExtractorException e) {\n logger.warn(\"Error extracting text from {}: {}\", imageFile, e.getMessage());\n throw new TextAnalyzerException(e);\n }\n\n int i = 1;\n for (TextLine line : textFrame.getLines()) {\n VideoText videoText = new VideoTextImpl(id + \"-\" + i++);\n videoText.setBoundary(line.getBoundaries());\n Textual text = null;\n if (languagesInstalled) {\n String[] potentialWords = line.getText() == null ? new String[0] : line.getText().split(\"\\\\W\");\n String[] languages = dictionaryService.detectLanguage(potentialWords);\n if (languages.length == 0) {\n // There are languages installed, but these words are part of one of those languages\n logger.debug(\"No languages found for '{}'.\", line.getText());\n continue;\n } else {\n String language = languages[0];\n DICT_TOKEN[] tokens = dictionaryService.cleanText(potentialWords, language);\n StringBuilder cleanLine = new StringBuilder();\n for (int j = 0; j < potentialWords.length; j++) {\n if (tokens[j] == DICT_TOKEN.WORD) {\n if (cleanLine.length() > 0) {\n cleanLine.append(\" \");\n }\n cleanLine.append(potentialWords[j]);\n }\n }\n // TODO: Ensure that the language returned by the dictionary is compatible with the MPEG-7 schema\n text = new TextualImpl(cleanLine.toString(), language);\n }\n } else {\n logger.debug(\"No languages installed. For better results, please install at least one language pack\");\n text = new TextualImpl(line.getText());\n }\n videoText.setText(text);\n videoTexts.add(videoText);\n }\n return videoTexts.toArray(new VideoText[videoTexts.size()]);\n }","public List<Result> recognize(IplImage image);","public static String getImgText(final String imageLocation) {\n\n return getImgText(new File(imageLocation));\n }","private String getLanguage(Prediction prediction, String content)\n throws IOException {\n Preconditions.checkNotNull(prediction);\n Preconditions.checkNotNull(content);\n\n Input input = new Input();\n Input.InputInput inputInput = new Input.InputInput();\n inputInput.set(\"csvInstance\", Lists.newArrayList(content));\n input.setInput(inputInput);\n Output result = prediction.trainedmodels().predict(Utils.getProjectId(),\n Constants.MODEL_ID, input).execute();\n return result.getOutputLabel();\n }","public Thread classifytext(String lang, String text, String exclude, MashapeCallback<JSONObject> callback) {\n Map<String, Object> parameters = new HashMap<String, Object>();\n \n if (lang != null && !lang.equals(\"\")) {\n \n parameters.put(\"lang\", lang);\n }\n \n \n if (text != null && !text.equals(\"\")) {\n \n parameters.put(\"text\", text);\n }\n \n \n if (exclude != null && !exclude.equals(\"\")) {\n \n parameters.put(\"exclude\", exclude);\n }\n \n return HttpClient.doRequest(JSONObject.class,\n HttpMethod.POST,\n \"https://\" + PUBLIC_DNS + \"/sentiment/current/classify_text/\",\n parameters,\n ContentType.FORM,\n ResponseType.JSON,\n authenticationHandlers,\n callback);\n }","public Thread classifytext(String lang, String text, MashapeCallback<JSONObject> callback) {\n return classifytext(lang, text, \"\", callback);\n }","public static String getImgText(final File file) {\n\n final ITesseract instance = new Tesseract();\n try {\n\n return instance.doOCR(file);\n } catch (TesseractException e) {\n\n e.getMessage();\n return \"Error while reading image\";\n }\n }","private String autoDetectLanguage(ArrayList<File> progFiles) {\n for (File f : progFiles) {\n String f_extension = getFileExtension(f).toLowerCase();\n if (Arrays.asList(IAGConstant.PYTHON_EXTENSIONS).contains(f_extension)) {\n return IAGConstant.LANGUAGE_PYTHON3;\n }\n if (Arrays.asList(IAGConstant.CPP_EXTENSIONS).contains(f_extension)) {\n return IAGConstant.LANGUAGE_CPP;\n }\n }\n return IAGConstant.LANGUAGE_UNKNOWN;\n }","private String html2safetynet(String text, String language) {\n\n // Convert from html to plain text\n text = TextUtils.html2txt(text, true);\n\n // Remove separator between positions\n text = PositionUtils.replaceSeparator(text, \" \");\n\n // Replace positions with NAVTEX versions\n PositionAssembler navtexPosAssembler = PositionAssembler.newNavtexPositionAssembler();\n text = PositionUtils.updatePositionFormat(text, navtexPosAssembler);\n\n // Remove verbose words, such as \"the\", from the text\n text = TextUtils.removeWords(text, SUPERFLUOUS_WORDS);\n\n // NB: unlike NAVTEX, we do not split into 40-character lines\n\n return text.toUpperCase();\n }","private String tesseract(Bitmap bitmap) {\n return \"NOT IMPLEMENTED\";\n }","public static String customTextFilter(BufferedImage img, String txt) {\n\n int newHeight = img.getHeight() / 200;\n int newWidth = img.getWidth() / 200;\n String html = \"\";\n int aux = 0;\n\n for (int i = 0; i < 200; i++) {\n if (i > 0) {\n html += \"\\n<br>\\n\";\n }\n for (int j = 0; j < 200; j++) {\n if (aux == txt.length()) {\n html += \"<b> </b>\";\n aux = 0;\n } else {\n Color c = regionAvgColor(j * newWidth, (j * newWidth) + newWidth,\n i * newHeight, (i * newHeight) + newHeight, newHeight,\n newWidth, img);\n html += \"<b style='color:rgb(\" + c.getRed() + \",\"\n + c.getGreen() + \",\" + c.getBlue() + \");'>\"\n + txt.substring(aux, aux + 1) + \"</b>\";\n aux++;\n }\n }\n }\n String style = \"body{\\nfont-size: 15px\\n}\";\n String title = \"Imagen Texto\";\n int styleIndex = HTML.indexOf(\"?S\"), titleIndex = HTML.indexOf(\"?T\"),\n bodyIndex = HTML.indexOf(\"?B\");\n String htmlFile = HTML.substring(0, styleIndex) + style;\n htmlFile += HTML.substring(styleIndex + 2, titleIndex) + title;\n htmlFile += HTML.substring(titleIndex + 2, bodyIndex) + html;\n htmlFile += HTML.substring(bodyIndex + 2);\n return htmlFile;\n }","private String getTranslation(String language, String id)\n {\n Iterator<Translation> translations = mTranslationState.iterator();\n \n while (translations.hasNext()) {\n Translation translation = translations.next();\n \n if (translation.getLang().equals(language)) {\n Iterator<TranslationText> texts = translation.texts.iterator();\n \n while (texts.hasNext()) {\n TranslationText text = texts.next();\n \n if (text.getId().equals(id)) {\n text.setUsed(true);\n return text.getValue();\n }\n }\n }\n }\n \n return \"[Translation Not Available]\";\n }","private String getLanguage(String fileName)\n {\n if (fileName.endsWith(\".C\"))\n {\n return \"C\";\n }\n else if (fileName.endsWith(\".Java\"))\n {\n return \"Java\";\n }\n else if (fileName.endsWith(\".CPP\"))\n {\n return \"C++\";\n }\n else if (fileName.endsWith(\".Class\"))\n {\n return \"Java\";\n }\n if (fileName.endsWith(\".c\"))\n {\n return \"C\";\n }\n else if (fileName.endsWith(\".java\"))\n {\n return \"Java\";\n }\n else if (fileName.endsWith(\".cpp\"))\n {\n return \"C++\";\n }\n else if (fileName.endsWith(\".class\"))\n {\n return \"Java\";\n }\n else if (fileName.endsWith(\".h\"))\n {\n return \"C\";\n }\n else\n {\n return \"??\";\n }\n }","@DISPID(-2147413012)\n @PropGet\n java.lang.String language();","public String getLanguage();","public String detectAndDecode(Mat img) {\n return detectAndDecode_2(nativeObj, img.nativeObj);\n }","String getLang();","@Override\n public DetectDominantLanguageResult detectDominantLanguage(DetectDominantLanguageRequest request) {\n request = beforeClientExecution(request);\n return executeDetectDominantLanguage(request);\n }","private void processTextRecognitionResult(FirebaseVisionText texts) {\n List<FirebaseVisionText.Block> blocks = texts.getBlocks();\n if (blocks.size() == 0) {\n Toast.makeText(getApplicationContext(), \"onDevice: No text found\", Toast.LENGTH_SHORT).show();\n return;\n }\n mGraphicOverlay.clear();\n for (int i = 0; i < blocks.size(); i++) {\n List<FirebaseVisionText.Line> lines = blocks.get(i).getLines();\n for (int j = 0; j < lines.size(); j++) {\n List<FirebaseVisionText.Element> elements = lines.get(j).getElements();\n for (int k = 0; k < elements.size(); k++) {\n GraphicOverlay.Graphic textGraphic = new TextGraphic(mGraphicOverlay, elements.get(k));\n mGraphicOverlay.add(textGraphic);\n\n }\n }\n }\n }","@Override\n public void onSuccess(Text visionText) {\n\n Log.d(TAG, \"onSuccess: \");\n extractText(visionText);\n }","public String getText() {\n if (Language.isEnglish()) {\n return textEn;\n } else {\n return textFr;\n }\n }","public Elements getTextFromWeb(String lang, String word) {\n\t\tToast t = Toast.makeText(this, \"Buscando...\", Toast.LENGTH_SHORT);\n\t\tt.setGravity(Gravity.TOP, 0, 0); // el show lo meto en el try\n\t\tseleccionado.setText(\"\");\n\t\tresultados.clear();\n\t\tlv.setAdapter(new ArrayAdapter<String>(this, R.layout.my_item_list,\n\t\t\t\tresultados));\n\n\t\tElements res = null;\n\t\tif (!networkAvailable(getApplicationContext())) {\n\t\t\tToast.makeText(this, \"¡Necesitas acceso a internet!\",\n\t\t\t\t\tToast.LENGTH_SHORT).show();\n\t\t} else {\n\t\t\tString url = \"http://www.wordreference.com/es/translation.asp?tranword=\";\n\t\t\tif (lang == \"aEspa\") {\n\t\t\t\turl += word;\n\t\t\t\tt.show();\n\t\t\t\t/* De ingles a español */\n\t\t\t\ttry {\n\t\t\t\t\tDocument doc = Jsoup.connect(url).get();\n\t\t\t\t\t/* Concise Oxford Spanish Dictionary © 2009 Oxford */\n\t\t\t\t\tif (doc.toString().contains(\n\t\t\t\t\t\t\t\"Concise Oxford Spanish Dictionary\")) {\n\t\t\t\t\t\tres = procesarOxford(doc);\n\t\t\t\t\t}\n\t\t\t\t\t/* Diccionario Espasa Concise © 2000 Espasa Calpe */\n\t\t\t\t\telse if (doc.toString().contains(\n\t\t\t\t\t\t\t\"Diccionario Espasa Concise\")) {\n\t\t\t\t\t\tres = procesarEspasa(doc);\n\t\t\t\t\t}\n\t\t\t\t\t/* WordReference English-Spanish Dictionary © 2012 */\n\t\t\t\t\telse if (doc.toString().contains(\n\t\t\t\t\t\t\t\"WordReference English-Spanish Dictionary\")) {\n\t\t\t\t\t\tres = procesarWR(doc);\n\t\t\t\t\t}\n\t\t\t\t} catch (IOException e) {\n\t\t\t\t\te.printStackTrace();\n\t\t\t\t\tToast.makeText(this, \"Error getting text from web\",\n\t\t\t\t\t\t\tToast.LENGTH_SHORT).show();\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\turl = \"http://www.wordreference.com/es/en/translation.asp?spen=\"\n\t\t\t\t\t\t+ word;\n\t\t\t\tt.show();\n\t\t\t\t/* De español a ingles */\n\t\t\t\ttry {\n\t\t\t\t\tDocument doc = Jsoup.connect(url).get();\n\t\t\t\t\t/* Concise Oxford Spanish Dictionary © 2009 Oxford */\n\t\t\t\t\tif (doc.toString().contains(\n\t\t\t\t\t\t\t\"Concise Oxford Spanish Dictionary\")) {\n\t\t\t\t\t\tres = procesarOxford2(doc);\n\t\t\t\t\t}\n\t\t\t\t\t/* Diccionario Espasa Concise © 2000 Espasa Calpe */\n\t\t\t\t\telse if (doc.toString().contains(\n\t\t\t\t\t\t\t\"Diccionario Espasa Concise\")) {\n\t\t\t\t\t\tres = procesarEspasa2(doc);\n\t\t\t\t\t}\n\t\t\t\t\t/* WordReference English-Spanish Dictionary © 2012 */\n\t\t\t\t\t// no hay\n\t\t\t\t\t// else if (doc.toString().contains(\n\t\t\t\t\t// \"WordReference English-Spanish Dictionary\")) {\n\t\t\t\t\t// res = procesarWR2(doc);\n\t\t\t\t\t// }\n\t\t\t\t} catch (IOException e) {\n\t\t\t\t\te.printStackTrace();\n\t\t\t\t\tToast.makeText(this, \"Error getting text from web\",\n\t\t\t\t\t\t\tToast.LENGTH_SHORT).show();\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\treturn res;\n\t}","CLanguage getClanguage();","private Spannable applyWordMarkup(String text) {\n SpannableStringBuilder ssb = new SpannableStringBuilder();\n int languageCodeStart = 0;\n int untranslatedStart = 0;\n\n int textLength = text.length();\n for (int i = 0; i < textLength; i++) {\n char c = text.charAt(i);\n if (c == '.') {\n if (++i < textLength) {\n c = text.charAt(i);\n if (c == '.') {\n ssb.append(c);\n } else if (c == 'c') {\n languageCodeStart = ssb.length();\n } else if (c == 'C') {\n ssb.setSpan(new TextAppearanceSpan(BrowseWordsActivity.this,\n R.style.language_code_tag),\n languageCodeStart, ssb.length(), 0);\n languageCodeStart = ssb.length();\n } else if (c == 'u') {\n untranslatedStart = ssb.length();\n } else if (c == 'U') {\n ssb.setSpan(new TextAppearanceSpan(BrowseWordsActivity.this,\n R.style.untranslated_word),\n untranslatedStart, ssb.length(), 0);\n untranslatedStart = ssb.length();\n } else if (c == '0') {\n Resources res = getResources();\n ssb.append(res.getString(R.string.no_translations));\n }\n }\n } else\n ssb.append(c);\n }\n\n return ssb;\n }","public Future<String> getLanguage() throws DynamicCallException, ExecutionException {\n return call(\"getLanguage\");\n }","private void processCloudTextRecognitionResult(FirebaseVisionCloudText text) {\n // Task completed successfully\n if (text == null) {\n Toast.makeText(getApplicationContext(), \"onCloud: No text found\", Toast.LENGTH_SHORT).show();\n return;\n }\n mGraphicOverlay.clear();\n List<FirebaseVisionCloudText.Page> pages = text.getPages();\n for (int i = 0; i < pages.size(); i++) {\n FirebaseVisionCloudText.Page page = pages.get(i);\n List<FirebaseVisionCloudText.Block> blocks = page.getBlocks();\n for (int j = 0; j < blocks.size(); j++) {\n List<FirebaseVisionCloudText.Paragraph> paragraphs = blocks.get(j).getParagraphs();\n for (int k = 0; k < paragraphs.size(); k++) {\n FirebaseVisionCloudText.Paragraph paragraph = paragraphs.get(k);\n List<FirebaseVisionCloudText.Word> words = paragraph.getWords();\n for (int l = 0; l < words.size(); l++) {\n GraphicOverlay.Graphic cloudTextGraphic = new CloudTextGraphic(mGraphicOverlay, words.get(l));\n mGraphicOverlay.add(cloudTextGraphic);\n }\n }\n }\n }\n }","public interface WordAnalyser {\n\n /**\n * Gets the bounds of all words it encounters in the image\n * \n */\n List<Rectangle> getWordBoundaries();\n\n /**\n * Gets the partial binary pixel matrix of the given word.\n * \n * @param wordBoundary\n * The bounds of the word\n */\n BinaryImage getWordMatrix(Rectangle wordBoundary);\n\n}","public void setLanguage(java.lang.String language) {\n _courseImage.setLanguage(language);\n }","private void runTextRecognition() {\n FirebaseVisionImage image = FirebaseVisionImage.fromBitmap(mSelectedImage);\n FirebaseVisionTextRecognizer recognizer = FirebaseVision.getInstance()\n .getOnDeviceTextRecognizer();\n //mTextButton.setEnabled(false);\n recognizer.processImage(image)\n .addOnSuccessListener(\n new OnSuccessListener<FirebaseVisionText>() {\n @Override\n public void onSuccess(FirebaseVisionText texts) {\n //mTextButton.setEnabled(true);\n processTextRecognitionResult(texts);\n }\n })\n .addOnFailureListener(\n new OnFailureListener() {\n @Override\n public void onFailure(@NonNull Exception e) {\n // Task failed with an exception\n //mTextButton.setEnabled(true);\n e.printStackTrace();\n }\n });\n }","Language findByName(String name);","private Word askForWord(Language lastLanguage) throws LanguageException {\n Language language = askForLanguage();\r\n if(language == null || language.equals(lastLanguage)) {\r\n throw new LanguageException();\r\n }\r\n // Step 2 : Name of the word\r\n String name = askForLine(\"Name of the word : \");\r\n Word searchedWord = czech.searchWord(language, name);\r\n if(searchedWord != null) {\r\n System.out.println(\"Word \" + name + \" found !\");\r\n return searchedWord;\r\n }\r\n System.out.println(\"Word \" + name + \" not found.\");\r\n // Step 3 : Gender/Phonetic of the word\r\n String gender = askForLine(\"\\tGender of the word : \");\r\n String phonetic = askForLine(\"\\tPhonetic of the word : \");\r\n // Last step : Creation of the word\r\n Word word = new Word(language, name, gender, phonetic);\r\n int id = czech.getListWords(language).get(-1).getId() + 1;\r\n word.setId(id);\r\n czech.getListWords(language).put(-1, word);\r\n return word;\r\n }","public static String RunOCR(Bitmap bitview, Context context, String activityName) {\n TextRecognizer textRecognizer = new TextRecognizer.Builder(context).build();\n if(!textRecognizer.isOperational()){\n // Note: The first time that an app using a Vision API is installed on a\n // device, GMS will download a native libraries to the device in order to do detection.\n // Usually this completes before the app is run for the first time. But if that\n // download has not yet completed, then the above call will not detect any text,\n // barcodes, or faces.\n //\n // isOperational() can be used to check if the required native libraries are currently\n // available. The detectors will automatically become operational once the library\n // downloads complete on device.\n Log.w(activityName, \"Detector dependencies are not yet available\");\n return \"FAILED -Text Recognizer ERROR-\";\n } else {\n Frame frame = new Frame.Builder().setBitmap(bitview).build();\n SparseArray<TextBlock> items = textRecognizer.detect(frame);\n StringBuilder stringBuilder = new StringBuilder();\n for (int i = 0; i< items.size(); ++i){\n TextBlock item = items.valueAt(i);\n stringBuilder.append(item.getValue());\n stringBuilder.append(\"\\n\");\n }\n String ocr = stringBuilder.toString();\n Log.i(activityName, \"List of OCRs:\\n\" +ocr+\"\\n\");\n return ocr;\n }\n }","public String findExtension(String lang) {\n if (lang == null)\n return \".txt\";\n else if (lang.equals(\"C++\"))\n return \".cpp\";\n else if (lang.equals(\"C\"))\n return \".c\";\n else if (lang.equals(\"PYT\"))\n return \".py\";\n else if (lang.equals(\"JAV\"))\n return \".java\";\n else\n return \".txt\";\n }","public AbstractLetterFactory decideLanguage(String lang){\n if(lang==\"ENG\"){\n Parameters.TARGET_CHROMOSOME = new char[]{'m', 'a', 'y', 'n', 'o', 'o', 't', 'h'};\n return new EnglishLetterFactory();\n\n }\n else if(lang==\"RUS\"){\n Parameters.TARGET_CHROMOSOME = new char[]{'м','а', 'ы', 'н', 'о', 'о', 'т', 'х'};\n return new RussianLetterFactory();\n }\n\n return new EnglishLetterFactory();\n\n }","private List<String> getLabels(Image image) {\n\t\ttry (ImageAnnotatorClient vision = ImageAnnotatorClient.create()) {\n\n\t\t\t// Creates the request for label detection. The API requires a list, but since the storage\n\t\t\t// bucket doesn't support batch uploads, the list will have only one request per function call\n\t\t\tList<AnnotateImageRequest> requests = new ArrayList<>();\n\t\t\tFeature feat = Feature.newBuilder().setType(Type.LABEL_DETECTION).build();\n\t\t\tAnnotateImageRequest request = AnnotateImageRequest.newBuilder().addFeatures(feat).setImage(image).build();\n\t\t\trequests.add(request);\n\n\t\t\t// Performs label detection on the image file\n\t\t\tList<AnnotateImageResponse> responses = vision.batchAnnotateImages(requests).getResponsesList();\n\n\t\t\t// Iterates through the responses, though in reality there will only be one response\n\t\t\tfor (AnnotateImageResponse res : responses) {\n\t\t\t\tif (res.hasError()) {\n\t\t\t\t\tlogger.log(Level.SEVERE, \"Error getting annotations: \" + res.getError().getMessage());\n\t\t\t\t\treturn null;\n\t\t\t\t}\n\n\t\t\t\t// Return the first 3 generated labels\n\t\t\t\treturn res.getLabelAnnotationsList().stream().limit(3L).map(e -> e.getDescription())\n\t\t\t\t\t\t.collect(Collectors.toList());\n\t\t\t}\n\t\t} catch (IOException e) {\n\t\t\te.printStackTrace();\n\t\t}\n\t\treturn null;\n\t}","private void pirateRecipe(String text) {\n if (\"excitedze\".equals(text)) {\n LanguageManager languagemanager = this.mc.getLanguageManager();\n Language language = languagemanager.getLanguage(\"en_pt\");\n if (languagemanager.getCurrentLanguage().compareTo(language) == 0) {\n return;\n }\n\n languagemanager.setCurrentLanguage(language);\n this.mc.gameSettings.language = language.getCode();\n net.minecraftforge.client.ForgeHooksClient.refreshResources(this.mc, net.minecraftforge.resource.VanillaResourceType.LANGUAGES);\n this.mc.gameSettings.saveOptions();\n }\n\n }","public byte[] decode_text(byte[] image) {\n int length = 0;\n int offset = 32;\n // loop through 32 bytes of data to determine text length\n for (int i = 0; i < 32; ++i) // i=24 will also work, as only the 4th\n // byte contains real data\n {\n length = (length << 1) | (image[i] & 1);\n }\n\n byte[] result = new byte[length];\n\n // loop through each byte of text\n for (int b = 0; b < result.length; ++b) {\n // loop through each bit within a byte of text\n for (int i = 0; i < 8; ++i, ++offset) {\n // assign bit: [(new byte value) << 1] OR [(text byte) AND 1]\n result[b] = (byte) ((result[b] << 1) | (image[offset] & 1));\n }\n }\n return result;\n }","public abstract void startVoiceRecognition(String language);","@Override\n public void run() {\n try {\n byte[] photoData = IOUtils.toByteArray(inputStream);\n inputStream.close();\n //Mat src = Imgcodecs.imdecode(new MatOfByte(photoData), Imgcodecs.CV_LOAD_IMAGE_UNCHANGED);\n// photoData = new byte[(int) (src.total() * src.channels())];\n// src.get(0, 0, photoData);\n\n\n\n// //OCR PREPROCESSING FOR FAREHA'S MODULE\n// try{\n//// Mat src = Utils.loadResource(reportAnalysisActivity.this, R.drawable.bloodf, Imgcodecs.CV_LOAD_IMAGE_GRAYSCALE);\n// //boolean ans = src.isContinuous();\n// //1. Resizing\n// double ratio = (double)src.width()/src.height();\n// if(src.width()>768){\n// int newHeight = (int)(768/ratio);\n// Imgproc.resize(src,src,new Size(768,newHeight ));\n// }\n// else if(src.height()>1024){\n// int newWidth = (int)(1024*ratio);\n// Imgproc.resize(src,src,new Size(newWidth,1024));\n// }\n//\n// //2. denoising\n// Photo.fastNlMeansDenoising(src,src,10,7,21);\n// }\n// catch(Exception e){}\n//\n// photoData = new byte[(int) (src.total() * src.channels())];\n// src.get(0, 0, photoData);\n//\n Image inputImage = new Image();\n inputImage.encodeContent(photoData);\n\n Feature desiredFeature = new Feature();\n desiredFeature.setType(\"TEXT_DETECTION\");\n\n BatchAnnotateImagesRequest batchRequest =\n new BatchAnnotateImagesRequest();\n final AnnotateImageRequest request = new AnnotateImageRequest();\n request.setImage(inputImage);\n request.setFeatures(Arrays.asList(desiredFeature));\n batchRequest.setRequests(Arrays.asList(request));\n BatchAnnotateImagesResponse batchResponse = vision.images().annotate(batchRequest).execute();\n text = batchResponse.getResponses().get(0).getFullTextAnnotation();\n\n int block_number = -1;\n int current_block = 0;\n ArrayList<Vertex> block_coords = new ArrayList<Vertex>();\n\n for (Page page : text.getPages()) {\n for (Block block : page.getBlocks()) {\n\n block_number++;\n //Save vertices of all the blocks\n block_coords.add(block.getBoundingBox().getVertices().get(0));\n allBlocks.add(block);\n\n for (Paragraph paragraph : block.getParagraphs()) {\n for (Word word : paragraph.getWords()) {\n String c_word = \"\";\n for (Symbol symbol : word.getSymbols()) {\n c_word += symbol.getText();\n }\n if (c_word.equals(\"WBC\") || c_word.equals(\"RBC\") ||\n c_word.equals(\"HB\") || c_word.equals(\"Hb\") || c_word.contains(\"Hemoglobin\") || c_word.equals(\"Haemoglobin\")\n || c_word.equals(\"Hematocrit\") || c_word.equals(\"HCT\") || c_word.equals(\"MCV\") || c_word.equals(\"MCH\")\n || c_word.equals(\"MCHC\") || c_word.contains(\"Platelet\") || c_word.equals(\"PLT\") || c_word.equals(\"ESR\")\n || c_word.equals(\"LYM\") || c_word.equals(\"LYM#\") || c_word.equals(\"LYM%\") || c_word.contains(\"Lym\")\n || c_word.equals(\"NEUT#\") || c_word.contains(\"NUET%\") || c_word.equals(\"NEUT\") || c_word.contains(\"Neut\")\n || c_word.contains(\"Monocytes\") || c_word.contains(\"Eosinophils\")\n || c_word.equals(\"Mixed Cells\") ||c_word.equals(\"Basophils\") ||c_word.equals(\"Bands\") ||\n c_word.contains(\"Bilirubin\") || c_word.equals(\"ALT\") || c_word.equals(\"SGPT\") || c_word.equals(\"ALK-Phos\") || c_word.contains(\"Alk\")\n || c_word.equals(\"ALK\")) {\n\n //Store the y coords of blocks containing testnames in array if not already saved\n if (testnameBlocks_coords.isEmpty() || !testnameBlocks_coords.contains(block_coords.get(block_number)))\n testnameBlocks_coords.add(block_coords.get(block_number));\n }\n }\n }\n }\n\n }\n\n //Sort the array containing the blocks that contain the test names in an order of largest y coordinates\n Collections.sort(testnameBlocks_coords, new Comparator<Vertex>() {\n @Override\n public int compare(Vertex x1, Vertex x2) {\n int result= Integer.compare(x1.getY(), x2.getY());\n if(result==0){\n //both ys are equal so we compare the x\n result=Integer.compare(x1.getX(), x2.getX());\n }\n return result;\n }\n });\n\n //Save the names of the testnames in order in test_name array\n int blocknum = 0;\n for (int j = 0; j < testnameBlocks_coords.size(); j++) {\n for (int i = 0; i < allBlocks.size(); i++) {\n if (allBlocks.get(i).getBoundingBox().getVertices().get(0) == testnameBlocks_coords.get(j)) {\n blocknum = i; //The index at which the block coordinate is present in the block_cooords array\n break;\n }\n }\n\n for (Paragraph paragraph : allBlocks.get(blocknum).getParagraphs()) { //Loop on its paragraphs\n for (Word word : paragraph.getWords()) {\n String name = \"\";\n for (Symbol symbol : word.getSymbols()) {\n name += symbol.getText();\n //save the testnames in testnames array\n }\n if (name.equals(\"%\") || name.equals(\"#\") || name.equals(\"Count\") || name.equals(\",\")\n || name.equals(\"Level\")) {\n StringBuilder stringBuilder = new StringBuilder(testnames.get(testnames.size() - 1));\n stringBuilder.append(name);\n testnames.add(testnames.size() - 1, stringBuilder.toString());\n testnames.remove(testnames.size() - 1);\n }\n else if (name.equals(\"WBC\") || name.equals(\"RBC\") ||\n name.equals(\"HB\") || name.equals(\"Hb\") || name.contains(\"Hemoglobin\") || name.equals(\"Haemoglobin\")\n || name.equals(\"Hematocrit\") || name.equals(\"HCT\") || name.equals(\"MCV\") || name.equals(\"MCH\")\n || name.equals(\"MCHC\") || name.contains(\"Platelet\") || name.equals(\"PLT\") || name.equals(\"ESR\")\n || name.equals(\"LYM\") || name.equals(\"LYM#\") || name.equals(\"LYM%\") || name.contains(\"Lym\")\n || name.equals(\"NEUT#\") || name.contains(\"NUET%\") || name.equals(\"NEUT\") || name.contains(\"Neut\")\n || name.contains(\"Monocytes\") || name.contains(\"Eosinophils\")\n || name.equals(\"Mixed Cells\") ||name.equals(\"Basophils\") ||name.equals(\"Bands\") ||\n name.contains(\"Bilirubin\") || name.equals(\"ALT\") || name.equals(\"SGPT\") || name.equals(\"ALK-Phos\") || name.contains(\"Alk.\")\n || name.equals(\"ALK\"))\n testnames.add(name);\n\n }\n }\n\n }\n\n //Below is the procedure to find the values of testvalues\n int result_block_index = 0;\n int num_of_values=0;\n int diff=0;\n ArrayList<Integer> ignoreIndex=new ArrayList<Integer>();\n Boolean isFloat=true;\n float value=0;\n\n while(num_of_values<testnames.size()){\n //next block of values\n if(!testvaluesBlocks_coords.isEmpty()){\n int previous_result_block_index = result_block_index; //Index at which the value block lies\n diff = Integer.MAX_VALUE;\n\n for(int i=0; i<block_coords.size(); i++){\n if(Math.abs(block_coords.get(previous_result_block_index).getX()-block_coords.get(i).getX())<diff && previous_result_block_index!=i){\n if(!ignoreIndex.contains(i)){\n diff= Math.abs(block_coords.get(previous_result_block_index).getX()-block_coords.get(i).getX());\n result_block_index=i;\n }\n\n }\n }\n }\n //first block of values\n else{\n //Getting values from te first block\n diff=Integer.MAX_VALUE;\n\n for(int i=0; i<block_coords.size(); i++){\n if(Math.abs(testnameBlocks_coords.get(0).getY()-block_coords.get(i).getY())<diff && block_coords.indexOf(testnameBlocks_coords.get(0))!=i){\n if(!ignoreIndex.contains(i)){\n diff= testnameBlocks_coords.get(0).getY()-block_coords.get(i).getY();\n result_block_index=i;\n }\n\n }\n }\n }\n isFloat=false;\n for(Paragraph paragraph: allBlocks.get(result_block_index).getParagraphs()){\n for(Word word: paragraph.getWords()){\n String value_string=\"\";\n for(Symbol symbol: word.getSymbols()){\n value_string+=symbol.getText();\n\n }\n while(value_string.contains(\",\")){\n int z = value_string.indexOf(\",\");\n value_string = value_string.substring(0, z) + value_string.substring(z + 1);\n }\n if(value_string.contains(\"-\")){\n isFloat=false;\n //ignore indices that have been selected no matter if they had the values or not\n if(!ignoreIndex.contains(result_block_index))\n ignoreIndex.add(result_block_index);\n break;\n }\n try{\n value= Float.parseFloat(value_string);\n num_of_values++;\n //ignore indices that have been selected no matter if they had the values or not\n if(!ignoreIndex.contains(result_block_index))\n ignoreIndex.add(result_block_index);\n isFloat=true;\n\n }\n catch (NumberFormatException e){\n //ignore indices that have been selected no matter if they had the values or not\n if(!ignoreIndex.contains(result_block_index))\n ignoreIndex.add(result_block_index);\n }\n\n\n\n\n }\n }\n\n if(isFloat){\n //Save y coordinates of value block\n testvaluesBlocks_coords.add(block_coords.get(result_block_index).getY());\n }\n }\n //sort test values coordinates array\n Collections.sort(testvaluesBlocks_coords);\n\n //save the values in an array\n for(int i=0; i<testvaluesBlocks_coords.size();i++){\n for(int j=0; j<allBlocks.size();j++){\n if(allBlocks.get(j).getBoundingBox().getVertices().get(0).getY()==testvaluesBlocks_coords.get(i)){\n blocknum=j; //The index at which the block coordinate is present in the block_cooords array\n break;\n }\n }\n\n //save values in array\n for (Paragraph paragraph: allBlocks.get(blocknum).getParagraphs()) { //Loop on its paragraphs\n for(Word word: paragraph.getWords()){\n String value_string=\"\";\n for(Symbol symbol: word.getSymbols()){\n value_string+=symbol.getText();\n }\n\n while(value_string.contains(\",\")){\n int z = value_string.indexOf(\",\");\n value_string = value_string.substring(0, z) + value_string.substring(z + 1);\n }\n try{\n value= Float.parseFloat(value_string);\n //save the testnames in testnames array\n testValues.add(Float.parseFloat(value_string));\n }\n catch(NumberFormatException n){\n\n }\n }\n\n }\n }\n\n for (int a = 0; a < testnames.size(); a++) {\n Log.e(testnames.get(a), Float.toString(testValues.get(a)));\n }\n\n //Convert the testname and testvalues array to string so they can be passed on\n StringBuilder sb = new StringBuilder();\n StringBuilder sb2 = new StringBuilder();\n for (int i = 0; i < testnames.size(); i++) {\n sb.append(testnames.get(i)).append(\",\");\n sb2.append(testValues.get(i)).append(\",\");\n\n }\n\n //Save the values and testnames so they can be passed on to next activity\n SharedPreferences preferences = PreferenceManager.getDefaultSharedPreferences(reportAnalysisActivity.this);\n SharedPreferences.Editor editor = preferences.edit();\n editor.putString(\"testnames\", sb.toString());\n editor.putString(\"testvalues\", sb2.toString());\n editor.putString(\"gender\", gender);\n editor.apply();\n runOnUiThread(new Runnable() {\n @Override\n public void run() {\n Intent reportresultScreen = new Intent(view.getContext(), reportResult_Activity.class);\n startActivity(reportresultScreen);\n }\n });\n }\n catch (IOException e) {\n e.printStackTrace();\n }\n done=true;\n }","@Override\n public String recognizeImage(final Bitmap bitmap) {\n Trace.beginSection(\"recognizeImage\");\n\n Trace.beginSection(\"preprocessBitmap\");\n // Preprocess the image data from 0-255 int to normalized float based\n // on the provided parameters.\n bitmapToInputData(bitmap);\n Trace.endSection(); // preprocessBitmap\n\n // Run the inference call.\n Trace.beginSection(\"run\");\n\n tfLite.run(imgData, tfoutput_recognize);\n\n Trace.endSection();\n postPro = new Postprocessing(tfoutput_recognize);\n predictClass = postPro.postRecognize();\n Trace.endSection(); // \"recognizeImage\"\n\n //LOGGER.w(\"\"+(System.currentTimeMillis()-startTime));\n return labels.get(predictClass);\n }","boolean hasLanguage();","List<Label> findAllByLanguage(String language);","public String getDescription(String lang) {\n/* 188 */ return getLangAlt(lang, \"description\");\n/* */ }","public String getLanguage() throws DynamicCallException, ExecutionException {\n return (String)call(\"getLanguage\").get();\n }","public String getPredefinedTextMessage( String language, int preDefindeMsgId );","public void englishlanguage() {\nSystem.out.println(\"englishlanguage\");\n\t}","public interface LanguageProvider {\n\tLanguageService study();\n}","DetectionResult getObjInImage(Mat image);","private void runTextRecognition(Bitmap bitmap) {\n FirebaseVisionImage image = FirebaseVisionImage.fromBitmap(bitmap);\n FirebaseVisionTextDetector detector = FirebaseVision.getInstance().getVisionTextDetector();\n\n detector.detectInImage(image).addOnSuccessListener(new OnSuccessListener<FirebaseVisionText>() {\n @Override\n public void onSuccess(FirebaseVisionText texts) {\n processTextRecognitionResult(texts);\n }\n }).addOnFailureListener(new OnFailureListener() {\n @Override\n public void onFailure(@NonNull Exception e) {\n\n e.printStackTrace();\n }\n });\n }","private void performOCR(){\n }","private static String italianAnalyzer(String label) throws IOException\r\n\t{\r\n\t\t// recupero le stopWords dell'ItalianAnalyzer\r\n\t\tCharArraySet stopWords = ItalianAnalyzer.getDefaultStopSet();\r\n\t\t// andiamo a tokenizzare la label\r\n\t\tTokenStream tokenStream = new StandardTokenizer(Version.LUCENE_48, new StringReader(label));\r\n\t\t// richiamo l'Elision Filter che si occupa di elidere le lettere apostrofate\r\n\t\ttokenStream = new ElisionFilter(tokenStream, stopWords);\r\n\t\t// richiamo il LowerCaseFilter\r\n\t\ttokenStream = new LowerCaseFilter(Version.LUCENE_48, tokenStream);\r\n\t\t// richiamo lo StopFilter per togliere le stop word\r\n\t\ttokenStream = new StopFilter(Version.LUCENE_48, tokenStream, stopWords);\r\n\t\t// eseguo il processo di stemming italiano per ogni token\r\n\t\ttokenStream = new ItalianLightStemFilter(tokenStream);\r\n\t\t\r\n\t\t/*\r\n\t\t * ricostruisco la stringa in precedenza tokenizzata\r\n\t\t */\r\n\t\tStringBuilder sb = new StringBuilder();\r\n\t CharTermAttribute charTermAttribute = tokenStream.addAttribute(CharTermAttribute.class);\r\n\t tokenStream.reset();\r\n\r\n\t while (tokenStream.incrementToken()) \r\n\t {\r\n\t String term = charTermAttribute.toString();\r\n\t sb.append(term + \" \");\r\n\t }\r\n \r\n\t tokenStream.close();\r\n\t // elimino l'ultimo carattere (spazio vuoto)\r\n\t String l = sb.toString().substring(0,sb.toString().length()-1);\r\n\t \r\n\t// ritorno la label stemmata\r\n return l;\r\n\t\r\n\t}","private void runCloudTextRecognition(Bitmap bitmap) {\n FirebaseVisionCloudDetectorOptions options =\n new FirebaseVisionCloudDetectorOptions.Builder()\n .setModelType(FirebaseVisionCloudDetectorOptions.LATEST_MODEL)\n .setMaxResults(15)\n .build();\n mCameraButtonCloud.setEnabled(false);\n FirebaseVisionImage image = FirebaseVisionImage.fromBitmap(bitmap);\n FirebaseVisionCloudDocumentTextDetector detector = FirebaseVision.getInstance()\n .getVisionCloudDocumentTextDetector(options);\n detector.detectInImage(image)\n .addOnSuccessListener(\n new OnSuccessListener<FirebaseVisionCloudText>() {\n @Override\n public void onSuccess(FirebaseVisionCloudText texts) {\n mCameraButtonCloud.setEnabled(true);\n processCloudTextRecognitionResult(texts);\n }\n })\n .addOnFailureListener(\n new OnFailureListener() {\n @Override\n public void onFailure(@NonNull Exception e) {\n // Task failed with an exception\n mCameraButtonCloud.setEnabled(true);\n e.printStackTrace();\n }\n });\n }","PsiFile[] findFilesWithPlainTextWords( String word);","public void detectLanguage(final View view)\n {\n Toast.makeText(getApplicationContext(), \"Under Construction\", Toast.LENGTH_SHORT).show();\n }","public BufferedImage add_text(BufferedImage image, String text) {\n // convert all items to byte arrays: image, message, message length\n byte img[] = get_byte_data(image);\n byte msg[] = text.getBytes();\n byte len[] = bit_conversion(msg.length);\n try {\n encode_text(img, len, 0); // 0 first positiong\n encode_text(img, msg, 32); // 4 bytes of space for length:\n // 4bytes*8bit = 32 bits\n }\n catch (Exception e) {\n JOptionPane.showMessageDialog(\n null,\n \"Target File cannot hold message!\",\n \"Error\",\n JOptionPane.ERROR_MESSAGE);\n }\n return image;\n }","String translate(String text, String fromLanguage, String toLanguage) throws TranslationException;","java.lang.String getTargetLanguageCode();","private ArrayList<OWLLiteral> getLabels(OWLEntity entity, OWLOntology ontology, String lang) {\n\t\tOWLDataFactory df = OWLManager.createOWLOntologyManager().getOWLDataFactory();\n\t\tOWLAnnotationProperty label = df.getOWLAnnotationProperty(OWLRDFVocabulary.RDFS_LABEL.getIRI());\t\n\n\t\tArrayList<OWLLiteral> labels = new ArrayList<OWLLiteral>();\n\t\tfor (OWLAnnotation annotation : entity.getAnnotations(ontology, label)) {\n\t\t\tif (annotation.getValue() instanceof OWLLiteral) {\n\t\t\t\tOWLLiteral val = (OWLLiteral) annotation.getValue();\n\t\t\t\tif (val.hasLang(\"en\")) {\n\t\t\t\t\tlabels.add(val);\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\treturn labels;\n\t}","private void verifyTextAndLabels(){\n common.explicitWaitVisibilityElement(\"//*[@id=\\\"content\\\"]/article/h2\");\n\n //Swedish labels\n common.timeoutMilliSeconds(500);\n textAndLabelsSwedish();\n\n //Change to English\n common.selectEnglish();\n\n //English labels\n textAndLabelsEnglish();\n }","public static BufferedImage getTextImage (String text, String fontName, float fontSize) {\n\t\tBufferedImage img = new BufferedImage(1, 1, BufferedImage.TYPE_INT_ARGB);\n\t\tGraphics2D g2d = img.createGraphics();\n\t\tFont font = ExternalResourceManager.getFont(fontName).deriveFont(fontSize);\n\t\tg2d.setFont(font);\n//\t\tnew Font\n\t\tFontMetrics fm = g2d.getFontMetrics();\n\t\tint w = fm.stringWidth(text), h = fm.getHeight();\n\t\tg2d.dispose();\n\t\t// draw image\n\t\timg = new BufferedImage(w, h, BufferedImage.TYPE_INT_ARGB);\n\t\tg2d = img.createGraphics();\n\t\tg2d.setFont(font);\n fm = g2d.getFontMetrics();\n g2d.setColor(Color.BLACK);\n g2d.setBackground(new Color(0, 0, 0, 0));\n g2d.drawString(text, 0, fm.getAscent());\n g2d.dispose();\n\t\treturn img;\n\t}","String translateEnglishToDothraki(String englishText) throws Exception\n\t{\n\t\tString urlHalf1 = \"https://api.funtranslations.com/translate/dothraki.json?text=\";\n\t\tString url = urlHalf1 + englishText;\n\n\t\tJsonParser parser = new JsonParser();\n\n\t\tString jsonData = getJsonData(url);\n\n\t\tJsonElement jsonTree = parser.parse(jsonData);\n\n\t\tString translation = \"\";\n\n\t\tif (jsonTree.isJsonObject())\n\t\t{\n\t\t\tJsonObject treeObject = jsonTree.getAsJsonObject();\n\n\t\t\tJsonElement contents = treeObject.get(\"contents\");\n\n\t\t\tif (contents.isJsonObject())\n\t\t\t{\n\t\t\t\tJsonObject contentsObject = contents.getAsJsonObject();\n\n\t\t\t\tJsonElement translateElement = contentsObject.get(\"translated\");\n\n\t\t\t\ttranslation = translateElement.getAsString();\n\t\t\t}\n\t\t}\n\n\t\treturn translation;\n\t}","int getLocalizedText();","Builder addInLanguage(Text value);","default String getOriginalText() {\n return meta(\"nlpcraft:nlp:origtext\");\n }","public String extractText(String urlString) {\n String text = \"\";\n try {\n URL url = new URL(urlString);\n text = ArticleExtractor.INSTANCE.getText(url); \n } catch (Exception ex) {\n Logger.getLogger(TextExtractor.class.getName()).log(Level.SEVERE, null, ex);\n }\n \n return text;\n }","public static String getTranslation(String original, String originLanguage, String targetLanguage) {\n\t\tif (Options.getDebuglevel() > 1)\n\t\t\tSystem.out.println(\"Translating: \" + original);\n\t\ttry {\n\t\t\tDocument doc = Jsoup\n\t\t\t\t\t.connect(\"http://translate.reference.com/\" + originLanguage + \"/\" + targetLanguage + \"/\" + original)\n\t\t\t\t\t.userAgent(\"PlagTest\").get();\n\t\t\tElement e = doc.select(\"textarea[Placeholder=Translation]\").first();\n\t\t\tString text = e.text().trim();\n\t\t\tif (text.equalsIgnoreCase(original.trim()))\n\t\t\t\treturn null;\n\t\t\treturn text;\n\t\t} catch (Exception e1) {\n\t\t}\n\t\treturn null;\n\t}","public void selectLanguage(String language) {\n\n String xpath = String.format(EST_LANGUAGE, language);\n List<WebElement> elements = languages.findElements(By.xpath(xpath));\n for (WebElement element : elements) {\n if (element.isDisplayed()) {\n element.click();\n break;\n }\n }\n }","com.google.ads.googleads.v6.resources.LanguageConstant getLanguageConstant();","@Override\n public String getText() {\n return analyzedWord;\n }","public String classify(String text){\n\t\treturn mClassifier.classify(text).bestCategory();\n\t}","public String getThaiWordFromEngWord(String englishWord) {\n Cursor cursor = mDatabase.query(\n TABLE_NAME,\n new String[]{COL_THAI_WORD},\n COL_ENG_WORD + \"=?\",\n new String[]{englishWord},\n null,\n null,\n null\n );\n if (cursor.getCount() > 0) {\n cursor.moveToFirst();\n return cursor.getString(cursor.getColumnIndex(COL_THAI_WORD));\n } else {\n return englishWord;\n }\n }","@Source(\"gr/grnet/pithos/resources/translate.png\")\n ImageResource selectAll();","public void Croppedimage(CropImage.ActivityResult result, ImageView iv, EditText et )\n {\n Uri resultUri = null; // get image uri\n if (result != null) {\n resultUri = result.getUri();\n }\n\n\n //set image to image view\n iv.setImageURI(resultUri);\n\n\n //get drawable bitmap for text recognition\n BitmapDrawable bitmapDrawable = (BitmapDrawable) iv.getDrawable();\n\n Bitmap bitmap = bitmapDrawable.getBitmap();\n\n TextRecognizer recognizer = new TextRecognizer.Builder(getApplicationContext()).build();\n\n if(!recognizer.isOperational())\n {\n Toast.makeText(this, \"Error No Text To Recognize\", Toast.LENGTH_LONG).show();\n }\n else\n {\n Frame frame = new Frame.Builder().setBitmap(bitmap).build();\n SparseArray<TextBlock> items = recognizer.detect(frame);\n StringBuilder ab = new StringBuilder();\n\n //get text from ab until there is no text\n for(int i = 0 ; i < items.size(); i++)\n {\n TextBlock myItem = items.valueAt(i);\n ab.append(myItem.getValue());\n\n }\n\n //set text to edit text\n et.setText(ab.toString());\n }\n\n }","public String getLocale () throws java.io.IOException, com.linar.jintegra.AutomationException;","@DISPID(-2147413103)\n @PropGet\n java.lang.String lang();","private String getPhrase(String key) {\r\n if (\"pl\".equals(System.getProperty(\"user.language\")) && phrasesPL.containsKey(key)) {\r\n return phrasesPL.get(key);\r\n } else if (phrasesEN.containsKey(key)) {\r\n return phrasesEN.get(key);\r\n }\r\n return \"Translation not found!\";\r\n }","public String detectObject(Bitmap bitmap) {\n results = classifierObject.recognizeImage(bitmap);\n\n // Toast.makeText(context, results.toString(), Toast.LENGTH_LONG).show();\n return String.valueOf(results.toString());\n }","String text();","@Override\n protected int onIsLanguageAvailable(String lang, String country, String variant) {\n if (\"eng\".equals(lang)) {\n // We support two specific robot languages, the british robot language\n // and the american robot language.\n if (\"USA\".equals(country) || \"GBR\".equals(country)) {\n // If the engine supported a specific variant, we would have\n // something like.\n //\n // if (\"android\".equals(variant)) {\n // return TextToSpeech.LANG_COUNTRY_VAR_AVAILABLE;\n // }\n return TextToSpeech.LANG_COUNTRY_AVAILABLE;\n }\n\n // We support the language, but not the country.\n return TextToSpeech.LANG_AVAILABLE;\n }\n\n return TextToSpeech.LANG_NOT_SUPPORTED;\n }","public void setLanguage(String language);","public WordInfo searchWord(String word) {\n\t\tSystem.out.println(\"Dic:SearchWord: \"+word);\n\n\t\tDocument doc;\n\t\ttry {\n\t\t\tdoc = Jsoup.connect(\"https://dictionary.cambridge.org/dictionary/english-vietnamese/\" + word).get();\n\t\t} catch(Exception e) {\n\t\t\te.printStackTrace();\n\t\t\treturn null;\n\t\t}\n\n\t\tElements elements = doc.select(\".dpos-h.di-head.normal-entry\");\n\t\tif (elements.isEmpty()) {\n\t\t\tSystem.out.println(\" not found\");\n\t\t\treturn null;\n\t\t}\n\n\t\tWordInfo wordInfo = new WordInfo(word);\n\n\t\t// Word\n\t\telements = doc.select(\".tw-bw.dhw.dpos-h_hw.di-title\");\n\n\t\tif (elements.size() == 0) {\n\t\t\tSystem.out.println(\" word not found in doc!\");\n\t\t\treturn null;\n\t\t}\n\n\t\twordInfo.setWordDictionary(elements.get(0).html());\n\n\t\t// Type\n\t\telements = doc.select(\".pos.dpos\");\n\n\t\tif(elements.size() > 0) {\n\t\t\twordInfo.setType(WordInfo.getTypeShort(elements.get(0).html()));\n//\t\t\tif (wordInfo.getTypeShort().equals(\"\"))\n//\t\t\t\tSystem.out.println(\" typemis: \"+wordInfo.getType());\n\t\t}\n\n\t\t// Pronoun\n\t\telements = doc.select(\".ipa.dipa\");\n\n\t\tif (elements.size() > 0)\n\t\t\twordInfo.setAPI(\"/\"+elements.get(0).html()+\"/\");\n\n\t\t// Trans\n\t\telements = doc.select(\".trans.dtrans\");\n\n\t\tif (elements.size() > 0)\n\t\t\twordInfo.setTrans(elements.get(0).html());\n\n\t\tSystem.out.println(\" found\");\n\t\treturn wordInfo;\n\t}"],"string":"[\n \"public String detectLanguage(String text) {\\n\\t\\treturn dictionary.detectLanguage(text);\\n\\t}\",\n \"public boolean translateImageToText();\",\n \"@SuppressWarnings(\\\"static-access\\\")\\n\\tpublic void detection(Request text) {\\n\\t\\t//Fichiertxt fichier;\\n\\t\\ttry {\\t\\t\\t\\t\\t\\n\\t\\t\\t//enregistrement et affichage de la langue dans une variable lang\\n\\t\\t\\ttext.setLang(identifyLanguage(text.getCorpText()));\\n\\t\\t\\t//Ajoute le fichier traité dans la Base\\n\\t\\t\\tajouterTexte(text);\\n\\t\\t} catch (Exception e) {\\n\\t\\t\\tSystem.out.println(\\\"fichier texte non trouvé\\\");\\n\\t e.printStackTrace();\\n\\t\\t}\\n\\t}\",\n \"public MashapeResponse<JSONObject> classifytext(String lang, String text) {\\n return classifytext(lang, text, \\\"\\\");\\n }\",\n \"static WordList get(Language language) {\\n return switch (language) {\\n case ENGLISH -> readResource(\\\"bip39_english.txt\\\");\\n };\\n }\",\n \"void readText(final Bitmap imageBitmap){\\n\\t\\tif(imageBitmap != null) {\\n\\t\\t\\t\\n\\t\\t\\tTextRecognizer textRecognizer = new TextRecognizer.Builder(this).build();\\n\\t\\t\\t\\n\\t\\t\\tif(!textRecognizer.isOperational()) {\\n\\t\\t\\t\\t// Note: The first time that an app using a Vision API is installed on a\\n\\t\\t\\t\\t// device, GMS will download a native libraries to the device in order to do detection.\\n\\t\\t\\t\\t// Usually this completes before the app is run for the first time. But if that\\n\\t\\t\\t\\t// download has not yet completed, then the above call will not detect any text,\\n\\t\\t\\t\\t// barcodes, or faces.\\n\\t\\t\\t\\t// isOperational() can be used to check if the required native libraries are currently\\n\\t\\t\\t\\t// available. The detectors will automatically become operational once the library\\n\\t\\t\\t\\t// downloads complete on device.\\n\\t\\t\\t\\tLog.w(TAG, \\\"Detector dependencies are not yet available.\\\");\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t// Check for low storage. If there is low storage, the native library will not be\\n\\t\\t\\t\\t// downloaded, so detection will not become operational.\\n\\t\\t\\t\\tIntentFilter lowstorageFilter = new IntentFilter(Intent.ACTION_DEVICE_STORAGE_LOW);\\n\\t\\t\\t\\tboolean hasLowStorage = registerReceiver(null, lowstorageFilter) != null;\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tif (hasLowStorage) {\\n\\t\\t\\t\\t\\tToast.makeText(this,\\\"Low Storage\\\", Toast.LENGTH_LONG).show();\\n\\t\\t\\t\\t\\tLog.w(TAG, \\\"Low Storage\\\");\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\t\\n\\t\\t\\t\\n\\t\\t\\tFrame imageFrame = new Frame.Builder()\\n\\t\\t\\t\\t\\t.setBitmap(imageBitmap)\\n\\t\\t\\t\\t\\t.build();\\n\\t\\t\\t\\n\\t\\t\\tSparseArray<TextBlock> textBlocks = textRecognizer.detect(imageFrame);\\n\\t\\t\\tdata.setText(\\\"\\\");\\n\\t\\t\\tfor (int i = 0; i < textBlocks.size(); i++) {\\n\\t\\t\\t\\tTextBlock textBlock = textBlocks.get(textBlocks.keyAt(i));\\n\\t\\t\\t\\tPoint[] points = textBlock.getCornerPoints();\\n\\t\\t\\t\\tLog.i(TAG, textBlock.getValue());\\n\\t\\t\\t\\tString corner = \\\"\\\";\\n\\t\\t\\t\\tfor(Point point : points){\\n\\t\\t\\t\\t\\tcorner += point.toString();\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\t//data.setText(data.getText() + \\\"\\\\n\\\" + corner);\\n\\t\\t\\t\\tdata.setText(data.getText()+ \\\"\\\\n \\\"+ textBlock.getValue() + \\\" \\\\n\\\" );\\n\\t\\t\\t\\t// Do something with value\\n /*List<? extends Text> textComponents = textBlock.getComponents();\\n for(Text currentText : textComponents) {\\n // Do your thing here }\\n mImageDetails.setText(mImageDetails.getText() + \\\"\\\\n\\\" + currentText);\\n }*/\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\",\n \"public String getEnglish()\\n {\\n if (spanishWord.substring(0,3).equals(\\\"el \\\"))\\n {\\n spanishWord = spanishWord.substring(3, spanishWord.length());\\n }\\n else if (spanishWord.substring(0, 3).equals(\\\"la \\\"))\\n {\\n spanishWord = spanishWord.substring(3, spanishWord.length());\\n }\\n if (spanishWord.equals(\\\"estudiante\\\"))\\n {\\n return \\\"student\\\"; \\n }\\n else if (spanishWord.equals(\\\"aprender\\\"))\\n {\\n return \\\"to learn\\\";\\n }\\n else if (spanishWord.equals(\\\"entender\\\"))\\n {\\n return\\\"to understand\\\";\\n }\\n else if (spanishWord.equals(\\\"verde\\\"))\\n {\\n return \\\"green\\\";\\n }\\n else\\n {\\n return null;\\n }\\n }\",\n \"java.lang.String getLanguage();\",\n \"java.lang.String getLanguage();\",\n \"private void detextTextFromImage(Bitmap imageBitmap) {\\n\\n\\n FirebaseVisionImage image = FirebaseVisionImage.fromBitmap(imageBitmap);\\n\\n FirebaseVisionTextRecognizer firebaseVisionTextRecognizer = FirebaseVision.getInstance().getCloudTextRecognizer();\\n\\n firebaseVisionTextRecognizer.processImage(image)\\n .addOnSuccessListener(new OnSuccessListener<FirebaseVisionText>() {\\n @Override\\n public void onSuccess(FirebaseVisionText firebaseVisionText) {\\n String text = firebaseVisionText.getText();\\n\\n if (text.isEmpty() || text == null)\\n Toast.makeText(ctx, \\\"Can not identify. Try again!\\\", Toast.LENGTH_SHORT).show();\\n\\n else {\\n\\n startTranslateIntent(text);\\n }\\n }\\n })\\n .addOnFailureListener(\\n new OnFailureListener() {\\n @Override\\n public void onFailure(@NonNull Exception e) {\\n e.printStackTrace();\\n }\\n });\\n\\n\\n }\",\n \"public synchronized Result process(String text, String lang) {\\n // Check that service has been initialized.\\n if (!this.initialized) {\\n logInitializationError();\\n return null;\\n }\\n this.cas.reset();\\n this.cas.setDocumentText(text);\\n if (lang != null) {\\n this.cas.setDocumentLanguage(lang);\\n }\\n try {\\n this.ae.process(this.cas);\\n } catch (AnalysisEngineProcessException e) {\\n getLogger().log(Level.SEVERE, \\\"\\\", e);\\n return null;\\n }\\n return this.resultExtractor.getResult(this.cas, this.serviceSpec);\\n }\",\n \"private static AnalysisResults.Builder retrieveText(ByteString imageBytes) throws IOException {\\n AnalysisResults.Builder analysisBuilder = new AnalysisResults.Builder();\\n\\n Image image = Image.newBuilder().setContent(imageBytes).build();\\n ImmutableList<Feature> features =\\n ImmutableList.of(Feature.newBuilder().setType(Feature.Type.TEXT_DETECTION).build(),\\n Feature.newBuilder().setType(Feature.Type.LOGO_DETECTION).build());\\n AnnotateImageRequest request =\\n AnnotateImageRequest.newBuilder().addAllFeatures(features).setImage(image).build();\\n ImmutableList<AnnotateImageRequest> requests = ImmutableList.of(request);\\n\\n try (ImageAnnotatorClient client = ImageAnnotatorClient.create()) {\\n BatchAnnotateImagesResponse batchResponse = client.batchAnnotateImages(requests);\\n\\n if (batchResponse.getResponsesList().isEmpty()) {\\n return analysisBuilder;\\n }\\n\\n AnnotateImageResponse response = Iterables.getOnlyElement(batchResponse.getResponsesList());\\n\\n if (response.hasError()) {\\n return analysisBuilder;\\n }\\n\\n // Add extracted raw text to builder.\\n if (!response.getTextAnnotationsList().isEmpty()) {\\n // First element has the entire raw text from the image.\\n EntityAnnotation textAnnotation = response.getTextAnnotationsList().get(0);\\n\\n String rawText = textAnnotation.getDescription();\\n analysisBuilder.setRawText(rawText);\\n }\\n\\n // If a logo was detected with a confidence above the threshold, use it to set the store.\\n if (!response.getLogoAnnotationsList().isEmpty()\\n && response.getLogoAnnotationsList().get(0).getScore()\\n > LOGO_DETECTION_CONFIDENCE_THRESHOLD) {\\n String store = response.getLogoAnnotationsList().get(0).getDescription();\\n analysisBuilder.setStore(store);\\n }\\n } catch (ApiException e) {\\n // Return default builder if image annotation request failed.\\n return analysisBuilder;\\n }\\n\\n return analysisBuilder;\\n }\",\n \"public java.lang.String getLanguage() {\\n return _courseImage.getLanguage();\\n }\",\n \"public void ocrExtraction(BufferedImage image) {\\n\\t\\tFile outputfile = new File(\\\"temp.png\\\");\\n\\t\\toutputfile.deleteOnExit();\\n\\t\\tString ocrText = \\\"\\\", currLine = \\\"\\\";\\n\\t\\ttry {\\n\\t\\t\\tImageIO.write(image, \\\"png\\\", outputfile);\\n\\n\\t\\t\\t// System call to Tesseract OCR\\n\\t\\t\\tRuntime r = Runtime.getRuntime();\\n\\t\\t\\tProcess p = r.exec(\\\"tesseract temp.png ocrText -psm 6\\\");\\n//\\t\\t\\tProcess p = r.exec(\\\"tesseract temp.png ocrText\\\");\\n\\t\\t\\tp.waitFor();\\n\\n\\t\\t\\t// Read text file generated by tesseract\\n\\t\\t\\tFile f = new File(\\\"ocrText.txt\\\");\\n\\t\\t\\tf.deleteOnExit();\\n\\t\\t\\tBufferedReader br = new BufferedReader(new FileReader(f));\\n\\t\\t\\t\\n\\t\\t\\twhile ((currLine = br.readLine()) != null) {\\n\\t\\t\\t\\tocrText += (currLine + \\\" \\\");\\n\\t\\t\\t}\\n\\t\\t\\tif(ocrText.trim().isEmpty()) {\\n\\t\\t\\t\\tocrText = \\\"OCR_FAIL\\\";\\n\\t\\t\\t}\\n\\t\\t\\tbr.close();\\n\\t\\t}\\n\\t\\tcatch (Exception e) {\\n\\t\\t\\te.printStackTrace();\\n\\t\\t}\\n\\n\\t\\ttextField.setText(ocrText.trim());\\n\\t\\ttextField.requestFocus();\\n\\t\\ttextField.selectAll();\\n\\t}\",\n \"String getLanguage();\",\n \"String getLanguage();\",\n \"String getLanguage();\",\n \"public String getTitile(String language) {\\n if (language.startsWith(\\\"e\\\")) {\\n return enTitle;\\n } else {\\n return localTitle;\\n }\\n }\",\n \"public String scanText(BufferedImage image) throws IOException {\\n File tmpImgFile = File.createTempFile(\\\"tmpImg\\\", \\\".jpg\\\");\\n ImageIO.write(image, \\\"jpg\\\", tmpImgFile);\\n String rawData = TesseractWrapper.runTesseract(tmpImgFile.getAbsolutePath());\\n tmpImgFile.delete();\\n return rawData;\\n }\",\n \"public MashapeResponse<JSONObject> classifytext(String lang, String text, String exclude) {\\n Map<String, Object> parameters = new HashMap<String, Object>();\\n if (lang != null && !lang.equals(\\\"\\\")) {\\n\\tparameters.put(\\\"lang\\\", lang);\\n }\\n \\n \\n if (text != null && !text.equals(\\\"\\\")) {\\n\\tparameters.put(\\\"text\\\", text);\\n }\\n \\n \\n if (exclude != null && !exclude.equals(\\\"\\\")) {\\n\\tparameters.put(\\\"exclude\\\", exclude);\\n }\\n \\n \\n return (MashapeResponse<JSONObject>) HttpClient.doRequest(JSONObject.class,\\n HttpMethod.POST,\\n \\\"https://\\\" + PUBLIC_DNS + \\\"/sentiment/current/classify_text/\\\",\\n parameters,\\n ContentType.FORM,\\n ResponseType.JSON,\\n authenticationHandlers);\\n }\",\n \"protected VideoText[] analyze(File imageFile, String id) throws TextAnalyzerException {\\n boolean languagesInstalled;\\n if (dictionaryService.getLanguages().length == 0) {\\n languagesInstalled = false;\\n logger.warn(\\\"There are no language packs installed. All text extracted from video will be considered valid.\\\");\\n } else {\\n languagesInstalled = true;\\n }\\n\\n List<VideoText> videoTexts = new ArrayList<VideoText>();\\n TextFrame textFrame = null;\\n try {\\n textFrame = textExtractor.extract(imageFile);\\n } catch (IOException e) {\\n logger.warn(\\\"Error reading image file {}: {}\\\", imageFile, e.getMessage());\\n throw new TextAnalyzerException(e);\\n } catch (TextExtractorException e) {\\n logger.warn(\\\"Error extracting text from {}: {}\\\", imageFile, e.getMessage());\\n throw new TextAnalyzerException(e);\\n }\\n\\n int i = 1;\\n for (TextLine line : textFrame.getLines()) {\\n VideoText videoText = new VideoTextImpl(id + \\\"-\\\" + i++);\\n videoText.setBoundary(line.getBoundaries());\\n Textual text = null;\\n if (languagesInstalled) {\\n String[] potentialWords = line.getText() == null ? new String[0] : line.getText().split(\\\"\\\\\\\\W\\\");\\n String[] languages = dictionaryService.detectLanguage(potentialWords);\\n if (languages.length == 0) {\\n // There are languages installed, but these words are part of one of those languages\\n logger.debug(\\\"No languages found for '{}'.\\\", line.getText());\\n continue;\\n } else {\\n String language = languages[0];\\n DICT_TOKEN[] tokens = dictionaryService.cleanText(potentialWords, language);\\n StringBuilder cleanLine = new StringBuilder();\\n for (int j = 0; j < potentialWords.length; j++) {\\n if (tokens[j] == DICT_TOKEN.WORD) {\\n if (cleanLine.length() > 0) {\\n cleanLine.append(\\\" \\\");\\n }\\n cleanLine.append(potentialWords[j]);\\n }\\n }\\n // TODO: Ensure that the language returned by the dictionary is compatible with the MPEG-7 schema\\n text = new TextualImpl(cleanLine.toString(), language);\\n }\\n } else {\\n logger.debug(\\\"No languages installed. For better results, please install at least one language pack\\\");\\n text = new TextualImpl(line.getText());\\n }\\n videoText.setText(text);\\n videoTexts.add(videoText);\\n }\\n return videoTexts.toArray(new VideoText[videoTexts.size()]);\\n }\",\n \"public List<Result> recognize(IplImage image);\",\n \"public static String getImgText(final String imageLocation) {\\n\\n return getImgText(new File(imageLocation));\\n }\",\n \"private String getLanguage(Prediction prediction, String content)\\n throws IOException {\\n Preconditions.checkNotNull(prediction);\\n Preconditions.checkNotNull(content);\\n\\n Input input = new Input();\\n Input.InputInput inputInput = new Input.InputInput();\\n inputInput.set(\\\"csvInstance\\\", Lists.newArrayList(content));\\n input.setInput(inputInput);\\n Output result = prediction.trainedmodels().predict(Utils.getProjectId(),\\n Constants.MODEL_ID, input).execute();\\n return result.getOutputLabel();\\n }\",\n \"public Thread classifytext(String lang, String text, String exclude, MashapeCallback<JSONObject> callback) {\\n Map<String, Object> parameters = new HashMap<String, Object>();\\n \\n if (lang != null && !lang.equals(\\\"\\\")) {\\n \\n parameters.put(\\\"lang\\\", lang);\\n }\\n \\n \\n if (text != null && !text.equals(\\\"\\\")) {\\n \\n parameters.put(\\\"text\\\", text);\\n }\\n \\n \\n if (exclude != null && !exclude.equals(\\\"\\\")) {\\n \\n parameters.put(\\\"exclude\\\", exclude);\\n }\\n \\n return HttpClient.doRequest(JSONObject.class,\\n HttpMethod.POST,\\n \\\"https://\\\" + PUBLIC_DNS + \\\"/sentiment/current/classify_text/\\\",\\n parameters,\\n ContentType.FORM,\\n ResponseType.JSON,\\n authenticationHandlers,\\n callback);\\n }\",\n \"public Thread classifytext(String lang, String text, MashapeCallback<JSONObject> callback) {\\n return classifytext(lang, text, \\\"\\\", callback);\\n }\",\n \"public static String getImgText(final File file) {\\n\\n final ITesseract instance = new Tesseract();\\n try {\\n\\n return instance.doOCR(file);\\n } catch (TesseractException e) {\\n\\n e.getMessage();\\n return \\\"Error while reading image\\\";\\n }\\n }\",\n \"private String autoDetectLanguage(ArrayList<File> progFiles) {\\n for (File f : progFiles) {\\n String f_extension = getFileExtension(f).toLowerCase();\\n if (Arrays.asList(IAGConstant.PYTHON_EXTENSIONS).contains(f_extension)) {\\n return IAGConstant.LANGUAGE_PYTHON3;\\n }\\n if (Arrays.asList(IAGConstant.CPP_EXTENSIONS).contains(f_extension)) {\\n return IAGConstant.LANGUAGE_CPP;\\n }\\n }\\n return IAGConstant.LANGUAGE_UNKNOWN;\\n }\",\n \"private String html2safetynet(String text, String language) {\\n\\n // Convert from html to plain text\\n text = TextUtils.html2txt(text, true);\\n\\n // Remove separator between positions\\n text = PositionUtils.replaceSeparator(text, \\\" \\\");\\n\\n // Replace positions with NAVTEX versions\\n PositionAssembler navtexPosAssembler = PositionAssembler.newNavtexPositionAssembler();\\n text = PositionUtils.updatePositionFormat(text, navtexPosAssembler);\\n\\n // Remove verbose words, such as \\\"the\\\", from the text\\n text = TextUtils.removeWords(text, SUPERFLUOUS_WORDS);\\n\\n // NB: unlike NAVTEX, we do not split into 40-character lines\\n\\n return text.toUpperCase();\\n }\",\n \"private String tesseract(Bitmap bitmap) {\\n return \\\"NOT IMPLEMENTED\\\";\\n }\",\n \"public static String customTextFilter(BufferedImage img, String txt) {\\n\\n int newHeight = img.getHeight() / 200;\\n int newWidth = img.getWidth() / 200;\\n String html = \\\"\\\";\\n int aux = 0;\\n\\n for (int i = 0; i < 200; i++) {\\n if (i > 0) {\\n html += \\\"\\\\n<br>\\\\n\\\";\\n }\\n for (int j = 0; j < 200; j++) {\\n if (aux == txt.length()) {\\n html += \\\"<b> </b>\\\";\\n aux = 0;\\n } else {\\n Color c = regionAvgColor(j * newWidth, (j * newWidth) + newWidth,\\n i * newHeight, (i * newHeight) + newHeight, newHeight,\\n newWidth, img);\\n html += \\\"<b style='color:rgb(\\\" + c.getRed() + \\\",\\\"\\n + c.getGreen() + \\\",\\\" + c.getBlue() + \\\");'>\\\"\\n + txt.substring(aux, aux + 1) + \\\"</b>\\\";\\n aux++;\\n }\\n }\\n }\\n String style = \\\"body{\\\\nfont-size: 15px\\\\n}\\\";\\n String title = \\\"Imagen Texto\\\";\\n int styleIndex = HTML.indexOf(\\\"?S\\\"), titleIndex = HTML.indexOf(\\\"?T\\\"),\\n bodyIndex = HTML.indexOf(\\\"?B\\\");\\n String htmlFile = HTML.substring(0, styleIndex) + style;\\n htmlFile += HTML.substring(styleIndex + 2, titleIndex) + title;\\n htmlFile += HTML.substring(titleIndex + 2, bodyIndex) + html;\\n htmlFile += HTML.substring(bodyIndex + 2);\\n return htmlFile;\\n }\",\n \"private String getTranslation(String language, String id)\\n {\\n Iterator<Translation> translations = mTranslationState.iterator();\\n \\n while (translations.hasNext()) {\\n Translation translation = translations.next();\\n \\n if (translation.getLang().equals(language)) {\\n Iterator<TranslationText> texts = translation.texts.iterator();\\n \\n while (texts.hasNext()) {\\n TranslationText text = texts.next();\\n \\n if (text.getId().equals(id)) {\\n text.setUsed(true);\\n return text.getValue();\\n }\\n }\\n }\\n }\\n \\n return \\\"[Translation Not Available]\\\";\\n }\",\n \"private String getLanguage(String fileName)\\n {\\n if (fileName.endsWith(\\\".C\\\"))\\n {\\n return \\\"C\\\";\\n }\\n else if (fileName.endsWith(\\\".Java\\\"))\\n {\\n return \\\"Java\\\";\\n }\\n else if (fileName.endsWith(\\\".CPP\\\"))\\n {\\n return \\\"C++\\\";\\n }\\n else if (fileName.endsWith(\\\".Class\\\"))\\n {\\n return \\\"Java\\\";\\n }\\n if (fileName.endsWith(\\\".c\\\"))\\n {\\n return \\\"C\\\";\\n }\\n else if (fileName.endsWith(\\\".java\\\"))\\n {\\n return \\\"Java\\\";\\n }\\n else if (fileName.endsWith(\\\".cpp\\\"))\\n {\\n return \\\"C++\\\";\\n }\\n else if (fileName.endsWith(\\\".class\\\"))\\n {\\n return \\\"Java\\\";\\n }\\n else if (fileName.endsWith(\\\".h\\\"))\\n {\\n return \\\"C\\\";\\n }\\n else\\n {\\n return \\\"??\\\";\\n }\\n }\",\n \"@DISPID(-2147413012)\\n @PropGet\\n java.lang.String language();\",\n \"public String getLanguage();\",\n \"public String detectAndDecode(Mat img) {\\n return detectAndDecode_2(nativeObj, img.nativeObj);\\n }\",\n \"String getLang();\",\n \"@Override\\n public DetectDominantLanguageResult detectDominantLanguage(DetectDominantLanguageRequest request) {\\n request = beforeClientExecution(request);\\n return executeDetectDominantLanguage(request);\\n }\",\n \"private void processTextRecognitionResult(FirebaseVisionText texts) {\\n List<FirebaseVisionText.Block> blocks = texts.getBlocks();\\n if (blocks.size() == 0) {\\n Toast.makeText(getApplicationContext(), \\\"onDevice: No text found\\\", Toast.LENGTH_SHORT).show();\\n return;\\n }\\n mGraphicOverlay.clear();\\n for (int i = 0; i < blocks.size(); i++) {\\n List<FirebaseVisionText.Line> lines = blocks.get(i).getLines();\\n for (int j = 0; j < lines.size(); j++) {\\n List<FirebaseVisionText.Element> elements = lines.get(j).getElements();\\n for (int k = 0; k < elements.size(); k++) {\\n GraphicOverlay.Graphic textGraphic = new TextGraphic(mGraphicOverlay, elements.get(k));\\n mGraphicOverlay.add(textGraphic);\\n\\n }\\n }\\n }\\n }\",\n \"@Override\\n public void onSuccess(Text visionText) {\\n\\n Log.d(TAG, \\\"onSuccess: \\\");\\n extractText(visionText);\\n }\",\n \"public String getText() {\\n if (Language.isEnglish()) {\\n return textEn;\\n } else {\\n return textFr;\\n }\\n }\",\n \"public Elements getTextFromWeb(String lang, String word) {\\n\\t\\tToast t = Toast.makeText(this, \\\"Buscando...\\\", Toast.LENGTH_SHORT);\\n\\t\\tt.setGravity(Gravity.TOP, 0, 0); // el show lo meto en el try\\n\\t\\tseleccionado.setText(\\\"\\\");\\n\\t\\tresultados.clear();\\n\\t\\tlv.setAdapter(new ArrayAdapter<String>(this, R.layout.my_item_list,\\n\\t\\t\\t\\tresultados));\\n\\n\\t\\tElements res = null;\\n\\t\\tif (!networkAvailable(getApplicationContext())) {\\n\\t\\t\\tToast.makeText(this, \\\"¡Necesitas acceso a internet!\\\",\\n\\t\\t\\t\\t\\tToast.LENGTH_SHORT).show();\\n\\t\\t} else {\\n\\t\\t\\tString url = \\\"http://www.wordreference.com/es/translation.asp?tranword=\\\";\\n\\t\\t\\tif (lang == \\\"aEspa\\\") {\\n\\t\\t\\t\\turl += word;\\n\\t\\t\\t\\tt.show();\\n\\t\\t\\t\\t/* De ingles a español */\\n\\t\\t\\t\\ttry {\\n\\t\\t\\t\\t\\tDocument doc = Jsoup.connect(url).get();\\n\\t\\t\\t\\t\\t/* Concise Oxford Spanish Dictionary © 2009 Oxford */\\n\\t\\t\\t\\t\\tif (doc.toString().contains(\\n\\t\\t\\t\\t\\t\\t\\t\\\"Concise Oxford Spanish Dictionary\\\")) {\\n\\t\\t\\t\\t\\t\\tres = procesarOxford(doc);\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t/* Diccionario Espasa Concise © 2000 Espasa Calpe */\\n\\t\\t\\t\\t\\telse if (doc.toString().contains(\\n\\t\\t\\t\\t\\t\\t\\t\\\"Diccionario Espasa Concise\\\")) {\\n\\t\\t\\t\\t\\t\\tres = procesarEspasa(doc);\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t/* WordReference English-Spanish Dictionary © 2012 */\\n\\t\\t\\t\\t\\telse if (doc.toString().contains(\\n\\t\\t\\t\\t\\t\\t\\t\\\"WordReference English-Spanish Dictionary\\\")) {\\n\\t\\t\\t\\t\\t\\tres = procesarWR(doc);\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t} catch (IOException e) {\\n\\t\\t\\t\\t\\te.printStackTrace();\\n\\t\\t\\t\\t\\tToast.makeText(this, \\\"Error getting text from web\\\",\\n\\t\\t\\t\\t\\t\\t\\tToast.LENGTH_SHORT).show();\\n\\t\\t\\t\\t}\\n\\t\\t\\t} else {\\n\\t\\t\\t\\turl = \\\"http://www.wordreference.com/es/en/translation.asp?spen=\\\"\\n\\t\\t\\t\\t\\t\\t+ word;\\n\\t\\t\\t\\tt.show();\\n\\t\\t\\t\\t/* De español a ingles */\\n\\t\\t\\t\\ttry {\\n\\t\\t\\t\\t\\tDocument doc = Jsoup.connect(url).get();\\n\\t\\t\\t\\t\\t/* Concise Oxford Spanish Dictionary © 2009 Oxford */\\n\\t\\t\\t\\t\\tif (doc.toString().contains(\\n\\t\\t\\t\\t\\t\\t\\t\\\"Concise Oxford Spanish Dictionary\\\")) {\\n\\t\\t\\t\\t\\t\\tres = procesarOxford2(doc);\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t/* Diccionario Espasa Concise © 2000 Espasa Calpe */\\n\\t\\t\\t\\t\\telse if (doc.toString().contains(\\n\\t\\t\\t\\t\\t\\t\\t\\\"Diccionario Espasa Concise\\\")) {\\n\\t\\t\\t\\t\\t\\tres = procesarEspasa2(doc);\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t/* WordReference English-Spanish Dictionary © 2012 */\\n\\t\\t\\t\\t\\t// no hay\\n\\t\\t\\t\\t\\t// else if (doc.toString().contains(\\n\\t\\t\\t\\t\\t// \\\"WordReference English-Spanish Dictionary\\\")) {\\n\\t\\t\\t\\t\\t// res = procesarWR2(doc);\\n\\t\\t\\t\\t\\t// }\\n\\t\\t\\t\\t} catch (IOException e) {\\n\\t\\t\\t\\t\\te.printStackTrace();\\n\\t\\t\\t\\t\\tToast.makeText(this, \\\"Error getting text from web\\\",\\n\\t\\t\\t\\t\\t\\t\\tToast.LENGTH_SHORT).show();\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\treturn res;\\n\\t}\",\n \"CLanguage getClanguage();\",\n \"private Spannable applyWordMarkup(String text) {\\n SpannableStringBuilder ssb = new SpannableStringBuilder();\\n int languageCodeStart = 0;\\n int untranslatedStart = 0;\\n\\n int textLength = text.length();\\n for (int i = 0; i < textLength; i++) {\\n char c = text.charAt(i);\\n if (c == '.') {\\n if (++i < textLength) {\\n c = text.charAt(i);\\n if (c == '.') {\\n ssb.append(c);\\n } else if (c == 'c') {\\n languageCodeStart = ssb.length();\\n } else if (c == 'C') {\\n ssb.setSpan(new TextAppearanceSpan(BrowseWordsActivity.this,\\n R.style.language_code_tag),\\n languageCodeStart, ssb.length(), 0);\\n languageCodeStart = ssb.length();\\n } else if (c == 'u') {\\n untranslatedStart = ssb.length();\\n } else if (c == 'U') {\\n ssb.setSpan(new TextAppearanceSpan(BrowseWordsActivity.this,\\n R.style.untranslated_word),\\n untranslatedStart, ssb.length(), 0);\\n untranslatedStart = ssb.length();\\n } else if (c == '0') {\\n Resources res = getResources();\\n ssb.append(res.getString(R.string.no_translations));\\n }\\n }\\n } else\\n ssb.append(c);\\n }\\n\\n return ssb;\\n }\",\n \"public Future<String> getLanguage() throws DynamicCallException, ExecutionException {\\n return call(\\\"getLanguage\\\");\\n }\",\n \"private void processCloudTextRecognitionResult(FirebaseVisionCloudText text) {\\n // Task completed successfully\\n if (text == null) {\\n Toast.makeText(getApplicationContext(), \\\"onCloud: No text found\\\", Toast.LENGTH_SHORT).show();\\n return;\\n }\\n mGraphicOverlay.clear();\\n List<FirebaseVisionCloudText.Page> pages = text.getPages();\\n for (int i = 0; i < pages.size(); i++) {\\n FirebaseVisionCloudText.Page page = pages.get(i);\\n List<FirebaseVisionCloudText.Block> blocks = page.getBlocks();\\n for (int j = 0; j < blocks.size(); j++) {\\n List<FirebaseVisionCloudText.Paragraph> paragraphs = blocks.get(j).getParagraphs();\\n for (int k = 0; k < paragraphs.size(); k++) {\\n FirebaseVisionCloudText.Paragraph paragraph = paragraphs.get(k);\\n List<FirebaseVisionCloudText.Word> words = paragraph.getWords();\\n for (int l = 0; l < words.size(); l++) {\\n GraphicOverlay.Graphic cloudTextGraphic = new CloudTextGraphic(mGraphicOverlay, words.get(l));\\n mGraphicOverlay.add(cloudTextGraphic);\\n }\\n }\\n }\\n }\\n }\",\n \"public interface WordAnalyser {\\n\\n /**\\n * Gets the bounds of all words it encounters in the image\\n * \\n */\\n List<Rectangle> getWordBoundaries();\\n\\n /**\\n * Gets the partial binary pixel matrix of the given word.\\n * \\n * @param wordBoundary\\n * The bounds of the word\\n */\\n BinaryImage getWordMatrix(Rectangle wordBoundary);\\n\\n}\",\n \"public void setLanguage(java.lang.String language) {\\n _courseImage.setLanguage(language);\\n }\",\n \"private void runTextRecognition() {\\n FirebaseVisionImage image = FirebaseVisionImage.fromBitmap(mSelectedImage);\\n FirebaseVisionTextRecognizer recognizer = FirebaseVision.getInstance()\\n .getOnDeviceTextRecognizer();\\n //mTextButton.setEnabled(false);\\n recognizer.processImage(image)\\n .addOnSuccessListener(\\n new OnSuccessListener<FirebaseVisionText>() {\\n @Override\\n public void onSuccess(FirebaseVisionText texts) {\\n //mTextButton.setEnabled(true);\\n processTextRecognitionResult(texts);\\n }\\n })\\n .addOnFailureListener(\\n new OnFailureListener() {\\n @Override\\n public void onFailure(@NonNull Exception e) {\\n // Task failed with an exception\\n //mTextButton.setEnabled(true);\\n e.printStackTrace();\\n }\\n });\\n }\",\n \"Language findByName(String name);\",\n \"private Word askForWord(Language lastLanguage) throws LanguageException {\\n Language language = askForLanguage();\\r\\n if(language == null || language.equals(lastLanguage)) {\\r\\n throw new LanguageException();\\r\\n }\\r\\n // Step 2 : Name of the word\\r\\n String name = askForLine(\\\"Name of the word : \\\");\\r\\n Word searchedWord = czech.searchWord(language, name);\\r\\n if(searchedWord != null) {\\r\\n System.out.println(\\\"Word \\\" + name + \\\" found !\\\");\\r\\n return searchedWord;\\r\\n }\\r\\n System.out.println(\\\"Word \\\" + name + \\\" not found.\\\");\\r\\n // Step 3 : Gender/Phonetic of the word\\r\\n String gender = askForLine(\\\"\\\\tGender of the word : \\\");\\r\\n String phonetic = askForLine(\\\"\\\\tPhonetic of the word : \\\");\\r\\n // Last step : Creation of the word\\r\\n Word word = new Word(language, name, gender, phonetic);\\r\\n int id = czech.getListWords(language).get(-1).getId() + 1;\\r\\n word.setId(id);\\r\\n czech.getListWords(language).put(-1, word);\\r\\n return word;\\r\\n }\",\n \"public static String RunOCR(Bitmap bitview, Context context, String activityName) {\\n TextRecognizer textRecognizer = new TextRecognizer.Builder(context).build();\\n if(!textRecognizer.isOperational()){\\n // Note: The first time that an app using a Vision API is installed on a\\n // device, GMS will download a native libraries to the device in order to do detection.\\n // Usually this completes before the app is run for the first time. But if that\\n // download has not yet completed, then the above call will not detect any text,\\n // barcodes, or faces.\\n //\\n // isOperational() can be used to check if the required native libraries are currently\\n // available. The detectors will automatically become operational once the library\\n // downloads complete on device.\\n Log.w(activityName, \\\"Detector dependencies are not yet available\\\");\\n return \\\"FAILED -Text Recognizer ERROR-\\\";\\n } else {\\n Frame frame = new Frame.Builder().setBitmap(bitview).build();\\n SparseArray<TextBlock> items = textRecognizer.detect(frame);\\n StringBuilder stringBuilder = new StringBuilder();\\n for (int i = 0; i< items.size(); ++i){\\n TextBlock item = items.valueAt(i);\\n stringBuilder.append(item.getValue());\\n stringBuilder.append(\\\"\\\\n\\\");\\n }\\n String ocr = stringBuilder.toString();\\n Log.i(activityName, \\\"List of OCRs:\\\\n\\\" +ocr+\\\"\\\\n\\\");\\n return ocr;\\n }\\n }\",\n \"public String findExtension(String lang) {\\n if (lang == null)\\n return \\\".txt\\\";\\n else if (lang.equals(\\\"C++\\\"))\\n return \\\".cpp\\\";\\n else if (lang.equals(\\\"C\\\"))\\n return \\\".c\\\";\\n else if (lang.equals(\\\"PYT\\\"))\\n return \\\".py\\\";\\n else if (lang.equals(\\\"JAV\\\"))\\n return \\\".java\\\";\\n else\\n return \\\".txt\\\";\\n }\",\n \"public AbstractLetterFactory decideLanguage(String lang){\\n if(lang==\\\"ENG\\\"){\\n Parameters.TARGET_CHROMOSOME = new char[]{'m', 'a', 'y', 'n', 'o', 'o', 't', 'h'};\\n return new EnglishLetterFactory();\\n\\n }\\n else if(lang==\\\"RUS\\\"){\\n Parameters.TARGET_CHROMOSOME = new char[]{'м','а', 'ы', 'н', 'о', 'о', 'т', 'х'};\\n return new RussianLetterFactory();\\n }\\n\\n return new EnglishLetterFactory();\\n\\n }\",\n \"private List<String> getLabels(Image image) {\\n\\t\\ttry (ImageAnnotatorClient vision = ImageAnnotatorClient.create()) {\\n\\n\\t\\t\\t// Creates the request for label detection. The API requires a list, but since the storage\\n\\t\\t\\t// bucket doesn't support batch uploads, the list will have only one request per function call\\n\\t\\t\\tList<AnnotateImageRequest> requests = new ArrayList<>();\\n\\t\\t\\tFeature feat = Feature.newBuilder().setType(Type.LABEL_DETECTION).build();\\n\\t\\t\\tAnnotateImageRequest request = AnnotateImageRequest.newBuilder().addFeatures(feat).setImage(image).build();\\n\\t\\t\\trequests.add(request);\\n\\n\\t\\t\\t// Performs label detection on the image file\\n\\t\\t\\tList<AnnotateImageResponse> responses = vision.batchAnnotateImages(requests).getResponsesList();\\n\\n\\t\\t\\t// Iterates through the responses, though in reality there will only be one response\\n\\t\\t\\tfor (AnnotateImageResponse res : responses) {\\n\\t\\t\\t\\tif (res.hasError()) {\\n\\t\\t\\t\\t\\tlogger.log(Level.SEVERE, \\\"Error getting annotations: \\\" + res.getError().getMessage());\\n\\t\\t\\t\\t\\treturn null;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\t// Return the first 3 generated labels\\n\\t\\t\\t\\treturn res.getLabelAnnotationsList().stream().limit(3L).map(e -> e.getDescription())\\n\\t\\t\\t\\t\\t\\t.collect(Collectors.toList());\\n\\t\\t\\t}\\n\\t\\t} catch (IOException e) {\\n\\t\\t\\te.printStackTrace();\\n\\t\\t}\\n\\t\\treturn null;\\n\\t}\",\n \"private void pirateRecipe(String text) {\\n if (\\\"excitedze\\\".equals(text)) {\\n LanguageManager languagemanager = this.mc.getLanguageManager();\\n Language language = languagemanager.getLanguage(\\\"en_pt\\\");\\n if (languagemanager.getCurrentLanguage().compareTo(language) == 0) {\\n return;\\n }\\n\\n languagemanager.setCurrentLanguage(language);\\n this.mc.gameSettings.language = language.getCode();\\n net.minecraftforge.client.ForgeHooksClient.refreshResources(this.mc, net.minecraftforge.resource.VanillaResourceType.LANGUAGES);\\n this.mc.gameSettings.saveOptions();\\n }\\n\\n }\",\n \"public byte[] decode_text(byte[] image) {\\n int length = 0;\\n int offset = 32;\\n // loop through 32 bytes of data to determine text length\\n for (int i = 0; i < 32; ++i) // i=24 will also work, as only the 4th\\n // byte contains real data\\n {\\n length = (length << 1) | (image[i] & 1);\\n }\\n\\n byte[] result = new byte[length];\\n\\n // loop through each byte of text\\n for (int b = 0; b < result.length; ++b) {\\n // loop through each bit within a byte of text\\n for (int i = 0; i < 8; ++i, ++offset) {\\n // assign bit: [(new byte value) << 1] OR [(text byte) AND 1]\\n result[b] = (byte) ((result[b] << 1) | (image[offset] & 1));\\n }\\n }\\n return result;\\n }\",\n \"public abstract void startVoiceRecognition(String language);\",\n \"@Override\\n public void run() {\\n try {\\n byte[] photoData = IOUtils.toByteArray(inputStream);\\n inputStream.close();\\n //Mat src = Imgcodecs.imdecode(new MatOfByte(photoData), Imgcodecs.CV_LOAD_IMAGE_UNCHANGED);\\n// photoData = new byte[(int) (src.total() * src.channels())];\\n// src.get(0, 0, photoData);\\n\\n\\n\\n// //OCR PREPROCESSING FOR FAREHA'S MODULE\\n// try{\\n//// Mat src = Utils.loadResource(reportAnalysisActivity.this, R.drawable.bloodf, Imgcodecs.CV_LOAD_IMAGE_GRAYSCALE);\\n// //boolean ans = src.isContinuous();\\n// //1. Resizing\\n// double ratio = (double)src.width()/src.height();\\n// if(src.width()>768){\\n// int newHeight = (int)(768/ratio);\\n// Imgproc.resize(src,src,new Size(768,newHeight ));\\n// }\\n// else if(src.height()>1024){\\n// int newWidth = (int)(1024*ratio);\\n// Imgproc.resize(src,src,new Size(newWidth,1024));\\n// }\\n//\\n// //2. denoising\\n// Photo.fastNlMeansDenoising(src,src,10,7,21);\\n// }\\n// catch(Exception e){}\\n//\\n// photoData = new byte[(int) (src.total() * src.channels())];\\n// src.get(0, 0, photoData);\\n//\\n Image inputImage = new Image();\\n inputImage.encodeContent(photoData);\\n\\n Feature desiredFeature = new Feature();\\n desiredFeature.setType(\\\"TEXT_DETECTION\\\");\\n\\n BatchAnnotateImagesRequest batchRequest =\\n new BatchAnnotateImagesRequest();\\n final AnnotateImageRequest request = new AnnotateImageRequest();\\n request.setImage(inputImage);\\n request.setFeatures(Arrays.asList(desiredFeature));\\n batchRequest.setRequests(Arrays.asList(request));\\n BatchAnnotateImagesResponse batchResponse = vision.images().annotate(batchRequest).execute();\\n text = batchResponse.getResponses().get(0).getFullTextAnnotation();\\n\\n int block_number = -1;\\n int current_block = 0;\\n ArrayList<Vertex> block_coords = new ArrayList<Vertex>();\\n\\n for (Page page : text.getPages()) {\\n for (Block block : page.getBlocks()) {\\n\\n block_number++;\\n //Save vertices of all the blocks\\n block_coords.add(block.getBoundingBox().getVertices().get(0));\\n allBlocks.add(block);\\n\\n for (Paragraph paragraph : block.getParagraphs()) {\\n for (Word word : paragraph.getWords()) {\\n String c_word = \\\"\\\";\\n for (Symbol symbol : word.getSymbols()) {\\n c_word += symbol.getText();\\n }\\n if (c_word.equals(\\\"WBC\\\") || c_word.equals(\\\"RBC\\\") ||\\n c_word.equals(\\\"HB\\\") || c_word.equals(\\\"Hb\\\") || c_word.contains(\\\"Hemoglobin\\\") || c_word.equals(\\\"Haemoglobin\\\")\\n || c_word.equals(\\\"Hematocrit\\\") || c_word.equals(\\\"HCT\\\") || c_word.equals(\\\"MCV\\\") || c_word.equals(\\\"MCH\\\")\\n || c_word.equals(\\\"MCHC\\\") || c_word.contains(\\\"Platelet\\\") || c_word.equals(\\\"PLT\\\") || c_word.equals(\\\"ESR\\\")\\n || c_word.equals(\\\"LYM\\\") || c_word.equals(\\\"LYM#\\\") || c_word.equals(\\\"LYM%\\\") || c_word.contains(\\\"Lym\\\")\\n || c_word.equals(\\\"NEUT#\\\") || c_word.contains(\\\"NUET%\\\") || c_word.equals(\\\"NEUT\\\") || c_word.contains(\\\"Neut\\\")\\n || c_word.contains(\\\"Monocytes\\\") || c_word.contains(\\\"Eosinophils\\\")\\n || c_word.equals(\\\"Mixed Cells\\\") ||c_word.equals(\\\"Basophils\\\") ||c_word.equals(\\\"Bands\\\") ||\\n c_word.contains(\\\"Bilirubin\\\") || c_word.equals(\\\"ALT\\\") || c_word.equals(\\\"SGPT\\\") || c_word.equals(\\\"ALK-Phos\\\") || c_word.contains(\\\"Alk\\\")\\n || c_word.equals(\\\"ALK\\\")) {\\n\\n //Store the y coords of blocks containing testnames in array if not already saved\\n if (testnameBlocks_coords.isEmpty() || !testnameBlocks_coords.contains(block_coords.get(block_number)))\\n testnameBlocks_coords.add(block_coords.get(block_number));\\n }\\n }\\n }\\n }\\n\\n }\\n\\n //Sort the array containing the blocks that contain the test names in an order of largest y coordinates\\n Collections.sort(testnameBlocks_coords, new Comparator<Vertex>() {\\n @Override\\n public int compare(Vertex x1, Vertex x2) {\\n int result= Integer.compare(x1.getY(), x2.getY());\\n if(result==0){\\n //both ys are equal so we compare the x\\n result=Integer.compare(x1.getX(), x2.getX());\\n }\\n return result;\\n }\\n });\\n\\n //Save the names of the testnames in order in test_name array\\n int blocknum = 0;\\n for (int j = 0; j < testnameBlocks_coords.size(); j++) {\\n for (int i = 0; i < allBlocks.size(); i++) {\\n if (allBlocks.get(i).getBoundingBox().getVertices().get(0) == testnameBlocks_coords.get(j)) {\\n blocknum = i; //The index at which the block coordinate is present in the block_cooords array\\n break;\\n }\\n }\\n\\n for (Paragraph paragraph : allBlocks.get(blocknum).getParagraphs()) { //Loop on its paragraphs\\n for (Word word : paragraph.getWords()) {\\n String name = \\\"\\\";\\n for (Symbol symbol : word.getSymbols()) {\\n name += symbol.getText();\\n //save the testnames in testnames array\\n }\\n if (name.equals(\\\"%\\\") || name.equals(\\\"#\\\") || name.equals(\\\"Count\\\") || name.equals(\\\",\\\")\\n || name.equals(\\\"Level\\\")) {\\n StringBuilder stringBuilder = new StringBuilder(testnames.get(testnames.size() - 1));\\n stringBuilder.append(name);\\n testnames.add(testnames.size() - 1, stringBuilder.toString());\\n testnames.remove(testnames.size() - 1);\\n }\\n else if (name.equals(\\\"WBC\\\") || name.equals(\\\"RBC\\\") ||\\n name.equals(\\\"HB\\\") || name.equals(\\\"Hb\\\") || name.contains(\\\"Hemoglobin\\\") || name.equals(\\\"Haemoglobin\\\")\\n || name.equals(\\\"Hematocrit\\\") || name.equals(\\\"HCT\\\") || name.equals(\\\"MCV\\\") || name.equals(\\\"MCH\\\")\\n || name.equals(\\\"MCHC\\\") || name.contains(\\\"Platelet\\\") || name.equals(\\\"PLT\\\") || name.equals(\\\"ESR\\\")\\n || name.equals(\\\"LYM\\\") || name.equals(\\\"LYM#\\\") || name.equals(\\\"LYM%\\\") || name.contains(\\\"Lym\\\")\\n || name.equals(\\\"NEUT#\\\") || name.contains(\\\"NUET%\\\") || name.equals(\\\"NEUT\\\") || name.contains(\\\"Neut\\\")\\n || name.contains(\\\"Monocytes\\\") || name.contains(\\\"Eosinophils\\\")\\n || name.equals(\\\"Mixed Cells\\\") ||name.equals(\\\"Basophils\\\") ||name.equals(\\\"Bands\\\") ||\\n name.contains(\\\"Bilirubin\\\") || name.equals(\\\"ALT\\\") || name.equals(\\\"SGPT\\\") || name.equals(\\\"ALK-Phos\\\") || name.contains(\\\"Alk.\\\")\\n || name.equals(\\\"ALK\\\"))\\n testnames.add(name);\\n\\n }\\n }\\n\\n }\\n\\n //Below is the procedure to find the values of testvalues\\n int result_block_index = 0;\\n int num_of_values=0;\\n int diff=0;\\n ArrayList<Integer> ignoreIndex=new ArrayList<Integer>();\\n Boolean isFloat=true;\\n float value=0;\\n\\n while(num_of_values<testnames.size()){\\n //next block of values\\n if(!testvaluesBlocks_coords.isEmpty()){\\n int previous_result_block_index = result_block_index; //Index at which the value block lies\\n diff = Integer.MAX_VALUE;\\n\\n for(int i=0; i<block_coords.size(); i++){\\n if(Math.abs(block_coords.get(previous_result_block_index).getX()-block_coords.get(i).getX())<diff && previous_result_block_index!=i){\\n if(!ignoreIndex.contains(i)){\\n diff= Math.abs(block_coords.get(previous_result_block_index).getX()-block_coords.get(i).getX());\\n result_block_index=i;\\n }\\n\\n }\\n }\\n }\\n //first block of values\\n else{\\n //Getting values from te first block\\n diff=Integer.MAX_VALUE;\\n\\n for(int i=0; i<block_coords.size(); i++){\\n if(Math.abs(testnameBlocks_coords.get(0).getY()-block_coords.get(i).getY())<diff && block_coords.indexOf(testnameBlocks_coords.get(0))!=i){\\n if(!ignoreIndex.contains(i)){\\n diff= testnameBlocks_coords.get(0).getY()-block_coords.get(i).getY();\\n result_block_index=i;\\n }\\n\\n }\\n }\\n }\\n isFloat=false;\\n for(Paragraph paragraph: allBlocks.get(result_block_index).getParagraphs()){\\n for(Word word: paragraph.getWords()){\\n String value_string=\\\"\\\";\\n for(Symbol symbol: word.getSymbols()){\\n value_string+=symbol.getText();\\n\\n }\\n while(value_string.contains(\\\",\\\")){\\n int z = value_string.indexOf(\\\",\\\");\\n value_string = value_string.substring(0, z) + value_string.substring(z + 1);\\n }\\n if(value_string.contains(\\\"-\\\")){\\n isFloat=false;\\n //ignore indices that have been selected no matter if they had the values or not\\n if(!ignoreIndex.contains(result_block_index))\\n ignoreIndex.add(result_block_index);\\n break;\\n }\\n try{\\n value= Float.parseFloat(value_string);\\n num_of_values++;\\n //ignore indices that have been selected no matter if they had the values or not\\n if(!ignoreIndex.contains(result_block_index))\\n ignoreIndex.add(result_block_index);\\n isFloat=true;\\n\\n }\\n catch (NumberFormatException e){\\n //ignore indices that have been selected no matter if they had the values or not\\n if(!ignoreIndex.contains(result_block_index))\\n ignoreIndex.add(result_block_index);\\n }\\n\\n\\n\\n\\n }\\n }\\n\\n if(isFloat){\\n //Save y coordinates of value block\\n testvaluesBlocks_coords.add(block_coords.get(result_block_index).getY());\\n }\\n }\\n //sort test values coordinates array\\n Collections.sort(testvaluesBlocks_coords);\\n\\n //save the values in an array\\n for(int i=0; i<testvaluesBlocks_coords.size();i++){\\n for(int j=0; j<allBlocks.size();j++){\\n if(allBlocks.get(j).getBoundingBox().getVertices().get(0).getY()==testvaluesBlocks_coords.get(i)){\\n blocknum=j; //The index at which the block coordinate is present in the block_cooords array\\n break;\\n }\\n }\\n\\n //save values in array\\n for (Paragraph paragraph: allBlocks.get(blocknum).getParagraphs()) { //Loop on its paragraphs\\n for(Word word: paragraph.getWords()){\\n String value_string=\\\"\\\";\\n for(Symbol symbol: word.getSymbols()){\\n value_string+=symbol.getText();\\n }\\n\\n while(value_string.contains(\\\",\\\")){\\n int z = value_string.indexOf(\\\",\\\");\\n value_string = value_string.substring(0, z) + value_string.substring(z + 1);\\n }\\n try{\\n value= Float.parseFloat(value_string);\\n //save the testnames in testnames array\\n testValues.add(Float.parseFloat(value_string));\\n }\\n catch(NumberFormatException n){\\n\\n }\\n }\\n\\n }\\n }\\n\\n for (int a = 0; a < testnames.size(); a++) {\\n Log.e(testnames.get(a), Float.toString(testValues.get(a)));\\n }\\n\\n //Convert the testname and testvalues array to string so they can be passed on\\n StringBuilder sb = new StringBuilder();\\n StringBuilder sb2 = new StringBuilder();\\n for (int i = 0; i < testnames.size(); i++) {\\n sb.append(testnames.get(i)).append(\\\",\\\");\\n sb2.append(testValues.get(i)).append(\\\",\\\");\\n\\n }\\n\\n //Save the values and testnames so they can be passed on to next activity\\n SharedPreferences preferences = PreferenceManager.getDefaultSharedPreferences(reportAnalysisActivity.this);\\n SharedPreferences.Editor editor = preferences.edit();\\n editor.putString(\\\"testnames\\\", sb.toString());\\n editor.putString(\\\"testvalues\\\", sb2.toString());\\n editor.putString(\\\"gender\\\", gender);\\n editor.apply();\\n runOnUiThread(new Runnable() {\\n @Override\\n public void run() {\\n Intent reportresultScreen = new Intent(view.getContext(), reportResult_Activity.class);\\n startActivity(reportresultScreen);\\n }\\n });\\n }\\n catch (IOException e) {\\n e.printStackTrace();\\n }\\n done=true;\\n }\",\n \"@Override\\n public String recognizeImage(final Bitmap bitmap) {\\n Trace.beginSection(\\\"recognizeImage\\\");\\n\\n Trace.beginSection(\\\"preprocessBitmap\\\");\\n // Preprocess the image data from 0-255 int to normalized float based\\n // on the provided parameters.\\n bitmapToInputData(bitmap);\\n Trace.endSection(); // preprocessBitmap\\n\\n // Run the inference call.\\n Trace.beginSection(\\\"run\\\");\\n\\n tfLite.run(imgData, tfoutput_recognize);\\n\\n Trace.endSection();\\n postPro = new Postprocessing(tfoutput_recognize);\\n predictClass = postPro.postRecognize();\\n Trace.endSection(); // \\\"recognizeImage\\\"\\n\\n //LOGGER.w(\\\"\\\"+(System.currentTimeMillis()-startTime));\\n return labels.get(predictClass);\\n }\",\n \"boolean hasLanguage();\",\n \"List<Label> findAllByLanguage(String language);\",\n \"public String getDescription(String lang) {\\n/* 188 */ return getLangAlt(lang, \\\"description\\\");\\n/* */ }\",\n \"public String getLanguage() throws DynamicCallException, ExecutionException {\\n return (String)call(\\\"getLanguage\\\").get();\\n }\",\n \"public String getPredefinedTextMessage( String language, int preDefindeMsgId );\",\n \"public void englishlanguage() {\\nSystem.out.println(\\\"englishlanguage\\\");\\n\\t}\",\n \"public interface LanguageProvider {\\n\\tLanguageService study();\\n}\",\n \"DetectionResult getObjInImage(Mat image);\",\n \"private void runTextRecognition(Bitmap bitmap) {\\n FirebaseVisionImage image = FirebaseVisionImage.fromBitmap(bitmap);\\n FirebaseVisionTextDetector detector = FirebaseVision.getInstance().getVisionTextDetector();\\n\\n detector.detectInImage(image).addOnSuccessListener(new OnSuccessListener<FirebaseVisionText>() {\\n @Override\\n public void onSuccess(FirebaseVisionText texts) {\\n processTextRecognitionResult(texts);\\n }\\n }).addOnFailureListener(new OnFailureListener() {\\n @Override\\n public void onFailure(@NonNull Exception e) {\\n\\n e.printStackTrace();\\n }\\n });\\n }\",\n \"private void performOCR(){\\n }\",\n \"private static String italianAnalyzer(String label) throws IOException\\r\\n\\t{\\r\\n\\t\\t// recupero le stopWords dell'ItalianAnalyzer\\r\\n\\t\\tCharArraySet stopWords = ItalianAnalyzer.getDefaultStopSet();\\r\\n\\t\\t// andiamo a tokenizzare la label\\r\\n\\t\\tTokenStream tokenStream = new StandardTokenizer(Version.LUCENE_48, new StringReader(label));\\r\\n\\t\\t// richiamo l'Elision Filter che si occupa di elidere le lettere apostrofate\\r\\n\\t\\ttokenStream = new ElisionFilter(tokenStream, stopWords);\\r\\n\\t\\t// richiamo il LowerCaseFilter\\r\\n\\t\\ttokenStream = new LowerCaseFilter(Version.LUCENE_48, tokenStream);\\r\\n\\t\\t// richiamo lo StopFilter per togliere le stop word\\r\\n\\t\\ttokenStream = new StopFilter(Version.LUCENE_48, tokenStream, stopWords);\\r\\n\\t\\t// eseguo il processo di stemming italiano per ogni token\\r\\n\\t\\ttokenStream = new ItalianLightStemFilter(tokenStream);\\r\\n\\t\\t\\r\\n\\t\\t/*\\r\\n\\t\\t * ricostruisco la stringa in precedenza tokenizzata\\r\\n\\t\\t */\\r\\n\\t\\tStringBuilder sb = new StringBuilder();\\r\\n\\t CharTermAttribute charTermAttribute = tokenStream.addAttribute(CharTermAttribute.class);\\r\\n\\t tokenStream.reset();\\r\\n\\r\\n\\t while (tokenStream.incrementToken()) \\r\\n\\t {\\r\\n\\t String term = charTermAttribute.toString();\\r\\n\\t sb.append(term + \\\" \\\");\\r\\n\\t }\\r\\n \\r\\n\\t tokenStream.close();\\r\\n\\t // elimino l'ultimo carattere (spazio vuoto)\\r\\n\\t String l = sb.toString().substring(0,sb.toString().length()-1);\\r\\n\\t \\r\\n\\t// ritorno la label stemmata\\r\\n return l;\\r\\n\\t\\r\\n\\t}\",\n \"private void runCloudTextRecognition(Bitmap bitmap) {\\n FirebaseVisionCloudDetectorOptions options =\\n new FirebaseVisionCloudDetectorOptions.Builder()\\n .setModelType(FirebaseVisionCloudDetectorOptions.LATEST_MODEL)\\n .setMaxResults(15)\\n .build();\\n mCameraButtonCloud.setEnabled(false);\\n FirebaseVisionImage image = FirebaseVisionImage.fromBitmap(bitmap);\\n FirebaseVisionCloudDocumentTextDetector detector = FirebaseVision.getInstance()\\n .getVisionCloudDocumentTextDetector(options);\\n detector.detectInImage(image)\\n .addOnSuccessListener(\\n new OnSuccessListener<FirebaseVisionCloudText>() {\\n @Override\\n public void onSuccess(FirebaseVisionCloudText texts) {\\n mCameraButtonCloud.setEnabled(true);\\n processCloudTextRecognitionResult(texts);\\n }\\n })\\n .addOnFailureListener(\\n new OnFailureListener() {\\n @Override\\n public void onFailure(@NonNull Exception e) {\\n // Task failed with an exception\\n mCameraButtonCloud.setEnabled(true);\\n e.printStackTrace();\\n }\\n });\\n }\",\n \"PsiFile[] findFilesWithPlainTextWords( String word);\",\n \"public void detectLanguage(final View view)\\n {\\n Toast.makeText(getApplicationContext(), \\\"Under Construction\\\", Toast.LENGTH_SHORT).show();\\n }\",\n \"public BufferedImage add_text(BufferedImage image, String text) {\\n // convert all items to byte arrays: image, message, message length\\n byte img[] = get_byte_data(image);\\n byte msg[] = text.getBytes();\\n byte len[] = bit_conversion(msg.length);\\n try {\\n encode_text(img, len, 0); // 0 first positiong\\n encode_text(img, msg, 32); // 4 bytes of space for length:\\n // 4bytes*8bit = 32 bits\\n }\\n catch (Exception e) {\\n JOptionPane.showMessageDialog(\\n null,\\n \\\"Target File cannot hold message!\\\",\\n \\\"Error\\\",\\n JOptionPane.ERROR_MESSAGE);\\n }\\n return image;\\n }\",\n \"String translate(String text, String fromLanguage, String toLanguage) throws TranslationException;\",\n \"java.lang.String getTargetLanguageCode();\",\n \"private ArrayList<OWLLiteral> getLabels(OWLEntity entity, OWLOntology ontology, String lang) {\\n\\t\\tOWLDataFactory df = OWLManager.createOWLOntologyManager().getOWLDataFactory();\\n\\t\\tOWLAnnotationProperty label = df.getOWLAnnotationProperty(OWLRDFVocabulary.RDFS_LABEL.getIRI());\\t\\n\\n\\t\\tArrayList<OWLLiteral> labels = new ArrayList<OWLLiteral>();\\n\\t\\tfor (OWLAnnotation annotation : entity.getAnnotations(ontology, label)) {\\n\\t\\t\\tif (annotation.getValue() instanceof OWLLiteral) {\\n\\t\\t\\t\\tOWLLiteral val = (OWLLiteral) annotation.getValue();\\n\\t\\t\\t\\tif (val.hasLang(\\\"en\\\")) {\\n\\t\\t\\t\\t\\tlabels.add(val);\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\\n\\t\\treturn labels;\\n\\t}\",\n \"private void verifyTextAndLabels(){\\n common.explicitWaitVisibilityElement(\\\"//*[@id=\\\\\\\"content\\\\\\\"]/article/h2\\\");\\n\\n //Swedish labels\\n common.timeoutMilliSeconds(500);\\n textAndLabelsSwedish();\\n\\n //Change to English\\n common.selectEnglish();\\n\\n //English labels\\n textAndLabelsEnglish();\\n }\",\n \"public static BufferedImage getTextImage (String text, String fontName, float fontSize) {\\n\\t\\tBufferedImage img = new BufferedImage(1, 1, BufferedImage.TYPE_INT_ARGB);\\n\\t\\tGraphics2D g2d = img.createGraphics();\\n\\t\\tFont font = ExternalResourceManager.getFont(fontName).deriveFont(fontSize);\\n\\t\\tg2d.setFont(font);\\n//\\t\\tnew Font\\n\\t\\tFontMetrics fm = g2d.getFontMetrics();\\n\\t\\tint w = fm.stringWidth(text), h = fm.getHeight();\\n\\t\\tg2d.dispose();\\n\\t\\t// draw image\\n\\t\\timg = new BufferedImage(w, h, BufferedImage.TYPE_INT_ARGB);\\n\\t\\tg2d = img.createGraphics();\\n\\t\\tg2d.setFont(font);\\n fm = g2d.getFontMetrics();\\n g2d.setColor(Color.BLACK);\\n g2d.setBackground(new Color(0, 0, 0, 0));\\n g2d.drawString(text, 0, fm.getAscent());\\n g2d.dispose();\\n\\t\\treturn img;\\n\\t}\",\n \"String translateEnglishToDothraki(String englishText) throws Exception\\n\\t{\\n\\t\\tString urlHalf1 = \\\"https://api.funtranslations.com/translate/dothraki.json?text=\\\";\\n\\t\\tString url = urlHalf1 + englishText;\\n\\n\\t\\tJsonParser parser = new JsonParser();\\n\\n\\t\\tString jsonData = getJsonData(url);\\n\\n\\t\\tJsonElement jsonTree = parser.parse(jsonData);\\n\\n\\t\\tString translation = \\\"\\\";\\n\\n\\t\\tif (jsonTree.isJsonObject())\\n\\t\\t{\\n\\t\\t\\tJsonObject treeObject = jsonTree.getAsJsonObject();\\n\\n\\t\\t\\tJsonElement contents = treeObject.get(\\\"contents\\\");\\n\\n\\t\\t\\tif (contents.isJsonObject())\\n\\t\\t\\t{\\n\\t\\t\\t\\tJsonObject contentsObject = contents.getAsJsonObject();\\n\\n\\t\\t\\t\\tJsonElement translateElement = contentsObject.get(\\\"translated\\\");\\n\\n\\t\\t\\t\\ttranslation = translateElement.getAsString();\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\treturn translation;\\n\\t}\",\n \"int getLocalizedText();\",\n \"Builder addInLanguage(Text value);\",\n \"default String getOriginalText() {\\n return meta(\\\"nlpcraft:nlp:origtext\\\");\\n }\",\n \"public String extractText(String urlString) {\\n String text = \\\"\\\";\\n try {\\n URL url = new URL(urlString);\\n text = ArticleExtractor.INSTANCE.getText(url); \\n } catch (Exception ex) {\\n Logger.getLogger(TextExtractor.class.getName()).log(Level.SEVERE, null, ex);\\n }\\n \\n return text;\\n }\",\n \"public static String getTranslation(String original, String originLanguage, String targetLanguage) {\\n\\t\\tif (Options.getDebuglevel() > 1)\\n\\t\\t\\tSystem.out.println(\\\"Translating: \\\" + original);\\n\\t\\ttry {\\n\\t\\t\\tDocument doc = Jsoup\\n\\t\\t\\t\\t\\t.connect(\\\"http://translate.reference.com/\\\" + originLanguage + \\\"/\\\" + targetLanguage + \\\"/\\\" + original)\\n\\t\\t\\t\\t\\t.userAgent(\\\"PlagTest\\\").get();\\n\\t\\t\\tElement e = doc.select(\\\"textarea[Placeholder=Translation]\\\").first();\\n\\t\\t\\tString text = e.text().trim();\\n\\t\\t\\tif (text.equalsIgnoreCase(original.trim()))\\n\\t\\t\\t\\treturn null;\\n\\t\\t\\treturn text;\\n\\t\\t} catch (Exception e1) {\\n\\t\\t}\\n\\t\\treturn null;\\n\\t}\",\n \"public void selectLanguage(String language) {\\n\\n String xpath = String.format(EST_LANGUAGE, language);\\n List<WebElement> elements = languages.findElements(By.xpath(xpath));\\n for (WebElement element : elements) {\\n if (element.isDisplayed()) {\\n element.click();\\n break;\\n }\\n }\\n }\",\n \"com.google.ads.googleads.v6.resources.LanguageConstant getLanguageConstant();\",\n \"@Override\\n public String getText() {\\n return analyzedWord;\\n }\",\n \"public String classify(String text){\\n\\t\\treturn mClassifier.classify(text).bestCategory();\\n\\t}\",\n \"public String getThaiWordFromEngWord(String englishWord) {\\n Cursor cursor = mDatabase.query(\\n TABLE_NAME,\\n new String[]{COL_THAI_WORD},\\n COL_ENG_WORD + \\\"=?\\\",\\n new String[]{englishWord},\\n null,\\n null,\\n null\\n );\\n if (cursor.getCount() > 0) {\\n cursor.moveToFirst();\\n return cursor.getString(cursor.getColumnIndex(COL_THAI_WORD));\\n } else {\\n return englishWord;\\n }\\n }\",\n \"@Source(\\\"gr/grnet/pithos/resources/translate.png\\\")\\n ImageResource selectAll();\",\n \"public void Croppedimage(CropImage.ActivityResult result, ImageView iv, EditText et )\\n {\\n Uri resultUri = null; // get image uri\\n if (result != null) {\\n resultUri = result.getUri();\\n }\\n\\n\\n //set image to image view\\n iv.setImageURI(resultUri);\\n\\n\\n //get drawable bitmap for text recognition\\n BitmapDrawable bitmapDrawable = (BitmapDrawable) iv.getDrawable();\\n\\n Bitmap bitmap = bitmapDrawable.getBitmap();\\n\\n TextRecognizer recognizer = new TextRecognizer.Builder(getApplicationContext()).build();\\n\\n if(!recognizer.isOperational())\\n {\\n Toast.makeText(this, \\\"Error No Text To Recognize\\\", Toast.LENGTH_LONG).show();\\n }\\n else\\n {\\n Frame frame = new Frame.Builder().setBitmap(bitmap).build();\\n SparseArray<TextBlock> items = recognizer.detect(frame);\\n StringBuilder ab = new StringBuilder();\\n\\n //get text from ab until there is no text\\n for(int i = 0 ; i < items.size(); i++)\\n {\\n TextBlock myItem = items.valueAt(i);\\n ab.append(myItem.getValue());\\n\\n }\\n\\n //set text to edit text\\n et.setText(ab.toString());\\n }\\n\\n }\",\n \"public String getLocale () throws java.io.IOException, com.linar.jintegra.AutomationException;\",\n \"@DISPID(-2147413103)\\n @PropGet\\n java.lang.String lang();\",\n \"private String getPhrase(String key) {\\r\\n if (\\\"pl\\\".equals(System.getProperty(\\\"user.language\\\")) && phrasesPL.containsKey(key)) {\\r\\n return phrasesPL.get(key);\\r\\n } else if (phrasesEN.containsKey(key)) {\\r\\n return phrasesEN.get(key);\\r\\n }\\r\\n return \\\"Translation not found!\\\";\\r\\n }\",\n \"public String detectObject(Bitmap bitmap) {\\n results = classifierObject.recognizeImage(bitmap);\\n\\n // Toast.makeText(context, results.toString(), Toast.LENGTH_LONG).show();\\n return String.valueOf(results.toString());\\n }\",\n \"String text();\",\n \"@Override\\n protected int onIsLanguageAvailable(String lang, String country, String variant) {\\n if (\\\"eng\\\".equals(lang)) {\\n // We support two specific robot languages, the british robot language\\n // and the american robot language.\\n if (\\\"USA\\\".equals(country) || \\\"GBR\\\".equals(country)) {\\n // If the engine supported a specific variant, we would have\\n // something like.\\n //\\n // if (\\\"android\\\".equals(variant)) {\\n // return TextToSpeech.LANG_COUNTRY_VAR_AVAILABLE;\\n // }\\n return TextToSpeech.LANG_COUNTRY_AVAILABLE;\\n }\\n\\n // We support the language, but not the country.\\n return TextToSpeech.LANG_AVAILABLE;\\n }\\n\\n return TextToSpeech.LANG_NOT_SUPPORTED;\\n }\",\n \"public void setLanguage(String language);\",\n \"public WordInfo searchWord(String word) {\\n\\t\\tSystem.out.println(\\\"Dic:SearchWord: \\\"+word);\\n\\n\\t\\tDocument doc;\\n\\t\\ttry {\\n\\t\\t\\tdoc = Jsoup.connect(\\\"https://dictionary.cambridge.org/dictionary/english-vietnamese/\\\" + word).get();\\n\\t\\t} catch(Exception e) {\\n\\t\\t\\te.printStackTrace();\\n\\t\\t\\treturn null;\\n\\t\\t}\\n\\n\\t\\tElements elements = doc.select(\\\".dpos-h.di-head.normal-entry\\\");\\n\\t\\tif (elements.isEmpty()) {\\n\\t\\t\\tSystem.out.println(\\\" not found\\\");\\n\\t\\t\\treturn null;\\n\\t\\t}\\n\\n\\t\\tWordInfo wordInfo = new WordInfo(word);\\n\\n\\t\\t// Word\\n\\t\\telements = doc.select(\\\".tw-bw.dhw.dpos-h_hw.di-title\\\");\\n\\n\\t\\tif (elements.size() == 0) {\\n\\t\\t\\tSystem.out.println(\\\" word not found in doc!\\\");\\n\\t\\t\\treturn null;\\n\\t\\t}\\n\\n\\t\\twordInfo.setWordDictionary(elements.get(0).html());\\n\\n\\t\\t// Type\\n\\t\\telements = doc.select(\\\".pos.dpos\\\");\\n\\n\\t\\tif(elements.size() > 0) {\\n\\t\\t\\twordInfo.setType(WordInfo.getTypeShort(elements.get(0).html()));\\n//\\t\\t\\tif (wordInfo.getTypeShort().equals(\\\"\\\"))\\n//\\t\\t\\t\\tSystem.out.println(\\\" typemis: \\\"+wordInfo.getType());\\n\\t\\t}\\n\\n\\t\\t// Pronoun\\n\\t\\telements = doc.select(\\\".ipa.dipa\\\");\\n\\n\\t\\tif (elements.size() > 0)\\n\\t\\t\\twordInfo.setAPI(\\\"/\\\"+elements.get(0).html()+\\\"/\\\");\\n\\n\\t\\t// Trans\\n\\t\\telements = doc.select(\\\".trans.dtrans\\\");\\n\\n\\t\\tif (elements.size() > 0)\\n\\t\\t\\twordInfo.setTrans(elements.get(0).html());\\n\\n\\t\\tSystem.out.println(\\\" found\\\");\\n\\t\\treturn wordInfo;\\n\\t}\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.6339322","0.5907689","0.5881454","0.5613236","0.5499387","0.5476547","0.54720753","0.54378355","0.54378355","0.54230297","0.54117554","0.5398961","0.5386767","0.5368199","0.5356364","0.5356364","0.5356364","0.5355748","0.53044903","0.52970636","0.5259717","0.5255546","0.52474463","0.5227633","0.5227519","0.51617426","0.51373875","0.5130657","0.5124618","0.5095856","0.50732946","0.5057377","0.50524217","0.5032287","0.5028192","0.5025107","0.4976818","0.49758172","0.49750227","0.4969493","0.4966516","0.49598026","0.49463004","0.4939654","0.49355274","0.49158987","0.4907803","0.4901162","0.490093","0.48949048","0.48760468","0.4872384","0.48701173","0.48626333","0.48619446","0.4859077","0.48565146","0.4836201","0.48171046","0.4813205","0.4798623","0.47593915","0.47577217","0.47507718","0.4734132","0.47277054","0.4723872","0.4680271","0.4678034","0.4665077","0.4661084","0.46390656","0.46388733","0.46339175","0.46273252","0.4624046","0.46217933","0.4621366","0.46212766","0.46193036","0.46121076","0.4601368","0.46006227","0.4598951","0.4597816","0.4596961","0.45915458","0.45913818","0.45895725","0.45786554","0.4577141","0.4571682","0.45664972","0.45600644","0.45594302","0.4558069","0.45484012","0.45455223","0.45450306","0.45446116","0.45400605"],"string":"[\n \"0.6339322\",\n \"0.5907689\",\n \"0.5881454\",\n \"0.5613236\",\n \"0.5499387\",\n \"0.5476547\",\n \"0.54720753\",\n \"0.54378355\",\n \"0.54378355\",\n \"0.54230297\",\n \"0.54117554\",\n \"0.5398961\",\n \"0.5386767\",\n \"0.5368199\",\n \"0.5356364\",\n \"0.5356364\",\n \"0.5356364\",\n \"0.5355748\",\n \"0.53044903\",\n \"0.52970636\",\n \"0.5259717\",\n \"0.5255546\",\n \"0.52474463\",\n \"0.5227633\",\n \"0.5227519\",\n \"0.51617426\",\n \"0.51373875\",\n \"0.5130657\",\n \"0.5124618\",\n \"0.5095856\",\n \"0.50732946\",\n \"0.5057377\",\n \"0.50524217\",\n \"0.5032287\",\n \"0.5028192\",\n \"0.5025107\",\n \"0.4976818\",\n \"0.49758172\",\n \"0.49750227\",\n \"0.4969493\",\n \"0.4966516\",\n \"0.49598026\",\n \"0.49463004\",\n \"0.4939654\",\n \"0.49355274\",\n \"0.49158987\",\n \"0.4907803\",\n \"0.4901162\",\n \"0.490093\",\n \"0.48949048\",\n \"0.48760468\",\n \"0.4872384\",\n \"0.48701173\",\n \"0.48626333\",\n \"0.48619446\",\n \"0.4859077\",\n \"0.48565146\",\n \"0.4836201\",\n \"0.48171046\",\n \"0.4813205\",\n \"0.4798623\",\n \"0.47593915\",\n \"0.47577217\",\n \"0.47507718\",\n \"0.4734132\",\n \"0.47277054\",\n \"0.4723872\",\n \"0.4680271\",\n \"0.4678034\",\n \"0.4665077\",\n \"0.4661084\",\n \"0.46390656\",\n \"0.46388733\",\n \"0.46339175\",\n \"0.46273252\",\n \"0.4624046\",\n \"0.46217933\",\n \"0.4621366\",\n \"0.46212766\",\n \"0.46193036\",\n \"0.46121076\",\n \"0.4601368\",\n \"0.46006227\",\n \"0.4598951\",\n \"0.4597816\",\n \"0.4596961\",\n \"0.45915458\",\n \"0.45913818\",\n \"0.45895725\",\n \"0.45786554\",\n \"0.4577141\",\n \"0.4571682\",\n \"0.45664972\",\n \"0.45600644\",\n \"0.45594302\",\n \"0.4558069\",\n \"0.45484012\",\n \"0.45455223\",\n \"0.45450306\",\n \"0.45446116\",\n \"0.45400605\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}}],"truncated":false,"partial":true},"paginationData":{"pageIndex":123,"numItemsPerPage":100,"numTotalItems":136513,"offset":12300,"length":100}},"jwt":"eyJhbGciOiJFZERTQSJ9.eyJyZWFkIjp0cnVlLCJwZXJtaXNzaW9ucyI6eyJyZXBvLmNvbnRlbnQucmVhZCI6dHJ1ZX0sImlhdCI6MTc3NDY3MTg1OSwic3ViIjoiL2RhdGFzZXRzL25vbWljLWFpL2Nvcm5zdGFjay1qYXZhLXYxIiwiZXhwIjoxNzc0Njc1NDU5LCJpc3MiOiJodHRwczovL2h1Z2dpbmdmYWNlLmNvIn0.i8poixBqBssG9SfV73F6VdTEhTHzaCwsWZj112URtbDZnhSRsa53UWDpVBsY6YiiVl39UqlOSfnoyQsAT0hGDA","displayUrls":true,"splitSizeSummaries":[{"config":"default","split":"train","numRows":136513,"numBytesParquet":1558040430}]},"discussionsStats":{"closed":0,"open":1,"total":1},"fullWidth":true,"hasGatedAccess":true,"hasFullAccess":true,"isEmbedded":false,"savedQueries":{"community":[],"user":[]}}">
query stringlengths 7 33.1k | document stringlengths 7 335k | metadata dict | negatives listlengths 3 101 | negative_scores listlengths 3 101 | document_score stringlengths 3 10 | document_rank stringclasses 102
values |
|---|---|---|---|---|---|---|
Begin and ending date of task must fulfill the following conditions: The begin date must be after the current date. The begin date must before the ending date. They must not be equal. | public static boolean checkDateConstraints(Task task) {
if (task.getBeginDate().before(new Date()) ||
task.getBeginDate().after(task.getEndingDate()) ||
task.getBeginDate().equals(task.getEndingDate())) {
return false;
}
return true;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@NoProxy\n @NoWrap\n public boolean inDateTimeRange(final String start, final String end) {\n if ((getEntityType() == IcalDefs.entityTypeTodo) &&\n getNoStart()) {\n // XXX Wrong? - true if start - end covers today?\n return true;\n }\n\n String evStart = getDtstart().getDate();\n S... | [
"0.6534165",
"0.6417996",
"0.6405388",
"0.6394219",
"0.6306654",
"0.6293224",
"0.6272373",
"0.62482536",
"0.62227917",
"0.61811405",
"0.61423516",
"0.6067814",
"0.6049352",
"0.60107934",
"0.5989312",
"0.59881717",
"0.59594333",
"0.59484005",
"0.5909604",
"0.58867985",
"0.5848... | 0.77395517 | 0 |
SubmitFiles constructor for the class | public SubmitFiles(CtrlPresenter ctrlPresenter){
vCtrlPresenter = ctrlPresenter;
add(rootPanel);
setTitle("Submit Files");
setSize(400,500);
// We add a Listener to make the button do something
selectClassroomsFileButton.addActionListener(new ActionListener() {
@Override
public void actionPerformed(ActionEvent e) {
JFileChooser fc = new JFileChooser();
fc.setCurrentDirectory(new java.io.File("./data/import"));
FileNameExtensionFilter filter = new FileNameExtensionFilter(
"JSON Files", "json");
fc.setFileFilter(filter);
int returnVal = fc.showOpenDialog(rootPanel);
if(returnVal == JFileChooser.APPROVE_OPTION) {
System.out.println("You chose to open this file: " +
fc.getCurrentDirectory().getAbsolutePath()+ "/" +
fc.getSelectedFile().getName());
classroomsFile = fc.getCurrentDirectory().getAbsolutePath()+ "/" + fc.getSelectedFile().getName();
selectClassroomsFileButton.setForeground(Color.green);
} else {
selectClassroomsFileButton.setForeground(Color.red);
}
}
});
selectSubjectsFileButton.addActionListener(new ActionListener() {
@Override
public void actionPerformed(ActionEvent e) {
JFileChooser fc = new JFileChooser();
fc.setCurrentDirectory(new java.io.File("./data/import"));
FileNameExtensionFilter filter = new FileNameExtensionFilter(
"JSON Files", "json");
fc.setFileFilter(filter);
int returnVal = fc.showOpenDialog(rootPanel);
if(returnVal == JFileChooser.APPROVE_OPTION) {
System.out.println("You chose to open this file: " +
fc.getCurrentDirectory().getAbsolutePath()+ "/" +
fc.getSelectedFile().getName());
subjectsFile = fc.getCurrentDirectory().getAbsolutePath()+ "/" + fc.getSelectedFile().getName();
selectSubjectsFileButton.setForeground(Color.green);
}else {
selectClassroomsFileButton.setForeground(Color.red);
}
}
});
nextbutton.addActionListener(new ActionListener() {
@Override
public void actionPerformed(ActionEvent e) {
try {
if (ctrlPresenter.setScenario(classroomsFile, subjectsFile)){
ctrlPresenter.selectConstraints();
}else{
setEnabled(false);
setVisible(false);
vCtrlPresenter.backToInit();
}
} catch (Exception exc) {
System.out.println(exc);
}
}
});
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public Uploader() {\n super();\n }",
"public FileObject() {\n\t}",
"public ActionFile() {\n }",
"public CompleteMultipartUploadRequest() {}",
"public FileUploadServlet() {\r\n\t\tsuper();\r\n\t\t// TODO Auto-generated constructor stub\r\n\t}",
"public FileSet() {\n super();\n }",
"prot... | [
"0.66980624",
"0.6693121",
"0.66284394",
"0.66047996",
"0.64634734",
"0.6451717",
"0.64515966",
"0.6388944",
"0.6303655",
"0.6295451",
"0.6293416",
"0.62476355",
"0.6246991",
"0.6218941",
"0.61767876",
"0.61719537",
"0.6162926",
"0.6159029",
"0.61432517",
"0.6130411",
"0.6093... | 0.613461 | 19 |
list delegation information(delegation details page) eg.USA.jsp title & flag | public Picture getDelegationInfo(String delegation_name){
Connection conn = DBConnect.getConnection();
String sql = "select * from delegation_pic where type='common' and delegation_name = '" + delegation_name + "'";
Picture delegation = null;
try {
PreparedStatement pst = conn.prepareStatement(sql);
ResultSet rst = pst.executeQuery();
while(rst.next()) {
delegation = new Picture();
delegation.setDelegation_name(rst.getString("delegation_name"));
delegation.setPath(rst.getString("path"));
}
rst.close();
pst.close();
}catch (SQLException e) {
// TODO: handle exception
e.printStackTrace();
}
return delegation;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public List<String> getDelegationNames(){\t\t\r\n\t\tConnection conn = DBConnect.getConnection();\r\n\t\tString sql = \"select delegation_name from delegation\";\r\n\t\tList<String> names = new ArrayList<String>();\r\n\t\ttry {\r\n\t\t\tPreparedStatement pst = conn.prepareStatement(sql);\r\n\t\t\tResultSet rst = p... | [
"0.60456246",
"0.59237874",
"0.5862736",
"0.58269584",
"0.5746058",
"0.5707793",
"0.57006663",
"0.5681669",
"0.5679083",
"0.5604543",
"0.5596762",
"0.55226815",
"0.54814816",
"0.53976375",
"0.5389781",
"0.5368173",
"0.5356948",
"0.5355108",
"0.5334331",
"0.53023934",
"0.52932... | 0.5131524 | 40 |
medal listList events that have won medals eg.USA.jsp | public List<String> getMedalList(String delegation_name){
List<String> list = new ArrayList<String>();
Connection conn = DBConnect.getConnection();
String sql = "select event_name,team_name as name,rank,type,T1.sports_name "
+ "from team_result T1 join event using(event_name) "
+ "where T1.state='final' and (rank=1 or rank=2 or rank=3) and delegation_name = '"+delegation_name+"' union "
+ "select event_name,athlete_name as name,rank,type,T1.sports_name "
+ "from individual_result T1 join event using(event_name)"
+ "where T1.state='final' and (rank=1 or rank=2 or rank=3) and delegation_name = '"+delegation_name+"'";
try {
PreparedStatement pst = conn.prepareStatement(sql);
ResultSet rst = pst.executeQuery();
while(rst.next()) {
list.add(rst.getString("event_name"));
list.add(rst.getString("name"));//team name
list.add(String.valueOf(rst.getInt("rank")));
list.add(rst.getString("type"));
list.add(rst.getString("sports_name"));
}
rst.close();
pst.close();
}catch (SQLException e) {
// TODO: handle exception
e.printStackTrace();
}
return list;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void filterByFoDisplayAll(){\n // add them into the new list\n for (int i = 0; i < moodListBeforeFilterFo.getCount(); i++ ){\n moodListAfterFilter.add(moodListBeforeFilterFo.getMoodEvent(i));\n }\n }",
"public void filterByMyDisplayAll(){\n // add them into the ne... | [
"0.55245894",
"0.55192244",
"0.55005586",
"0.54906344",
"0.545823",
"0.5440552",
"0.535931",
"0.532291",
"0.5271527",
"0.52698123",
"0.5208354",
"0.5138998",
"0.5117698",
"0.50790185",
"0.5024209",
"0.5019719",
"0.49940652",
"0.4974806",
"0.49714783",
"0.49591935",
"0.4931420... | 0.5275828 | 8 |
medal listlist each record picture | public List<String> getListPic(String delegation_name){
List<String> list = new ArrayList<String>();
Connection conn = DBConnect.getConnection();
String sql = "select path,event_name,team_name,rank "
+ "from team_result join sports_pic using(sports_name) "
+ "where type='logo' and state='final' and (rank=1 or rank=2 or rank=3) and delegation_name = '" + delegation_name + "' union "
+ "select path,event_name,athlete_name,rank "
+ "from individual_result join sports_pic using (sports_name) "
+ "where type='logo' and state='final' and (rank=1 or rank=2 or rank=3) and delegation_name = '" + delegation_name + "'";
try {
PreparedStatement pst = conn.prepareStatement(sql);
ResultSet rst = pst.executeQuery();
while(rst.next()) {
String path = rst.getString("path");
list.add(path);
}
rst.close();
pst.close();
}catch (SQLException e) {
// TODO: handle exception
e.printStackTrace();
}
return list;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void listPictures()\r\n {\r\n int index = 0;\r\n while(index >=0 && index < pictures.size()) \r\n {\r\n String filename = pictures.get(index);\r\n System.out.println(index + \": \"+ filename);\r\n index++;\r\n }\r\n }",
"public List<Camera... | [
"0.6701289",
"0.6618815",
"0.62307996",
"0.6158802",
"0.61379564",
"0.6127788",
"0.6091622",
"0.605609",
"0.59905934",
"0.59709066",
"0.5891439",
"0.58572036",
"0.5844668",
"0.5840039",
"0.5826217",
"0.5803771",
"0.57820666",
"0.5712446",
"0.5711835",
"0.5698493",
"0.56852245... | 0.56947887 | 20 |
list all sports that a delegation participates in eg.USA.jsp | public List<String> getSports(String name){
List<String> list = new ArrayList<String>();
Connection conn = DBConnect.getConnection();
String sql = "select sports_name from team where delegation_name= '" + name + "'";
try {
PreparedStatement pst = conn.prepareStatement(sql);
ResultSet rst = pst.executeQuery();
while(rst.next()) {
String team = rst.getString("sports_name");
list.add(team);
}
rst.close();
pst.close();
}catch (SQLException e) {
// TODO: handle exception
e.printStackTrace();
}
return list;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public List<Sports> getAllSportsService() {\n\t\tList<Sports> list=new ArrayList<>();\n\t\tlist=(List<Sports>)repository.findAll();\n\t\tif(list.size()<1)\n\t\t\tthrow new RecordNotFoundException(\"No Sports present in the table Sports\");\n\t\tlogger.info(\"Size of the list after fetching all the records= \"+list... | [
"0.6321984",
"0.5762401",
"0.5755302",
"0.5719504",
"0.5646438",
"0.5602418",
"0.5516061",
"0.5423669",
"0.54071426",
"0.5379345",
"0.5345941",
"0.5342602",
"0.53085566",
"0.5300181",
"0.5293075",
"0.5244483",
"0.5222101",
"0.5221205",
"0.5216396",
"0.51979566",
"0.5194368",
... | 0.65534157 | 0 |
Calculate the number of male and female athletes in a certain sport in a delegation eg.USA.jsp | public List<Integer> getMemAmount(String delegation_name,String sports_name){
List<Integer> list = new ArrayList<Integer>();
List<String> list2 = new ArrayList<String>();
Connection conn = DBConnect.getConnection();
String sql = "select count(athlete_name) as amount,sex from athlete where sports_name='" + sports_name
+ "' and delegation_name='" + delegation_name +"' group by sex order by sex";
try {
PreparedStatement pst = conn.prepareStatement(sql);
ResultSet rst = pst.executeQuery();
while(rst.next()) {
String amount = String.valueOf(rst.getInt("amount"));
String sex = rst.getString("sex");
list2.add(amount);
list2.add(sex);
}
if(list2.size()==0) {
list.add(0);
list.add(0);
}
else if(list2.size()==2) {
if(list2.get(1).equals("Female")) {
list.add(Integer.parseInt(list2.get(0)));
list.add(0);
}else {
list.add(0);
list.add(Integer.parseInt(list2.get(0)));
}
}
else {
list.add(Integer.parseInt(list2.get(0)));
list.add(Integer.parseInt(list2.get(2)));
}
rst.close();
pst.close();
}catch (SQLException e) {
// TODO: handle exception
e.printStackTrace();
}
return list;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public int numberOfFemale(){\n int female=0;\n for (int i=0;i<kangaroosInPoint.size();i++){\n if(kangaroosInPoint.get(i).getGender()=='F'){\n female++;\n } \n }\n return female;\n }",
"@Override\r\n\tpublic int GenderCount(String gender) {\n\t\t... | [
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"0.5359886",
"0.5307218",
"0.529837",
"0.5276060... | 0.5707668 | 8 |
get all delegation name that can skip to another page | public List<String> getDelegationNames(){
Connection conn = DBConnect.getConnection();
String sql = "select delegation_name from delegation";
List<String> names = new ArrayList<String>();
try {
PreparedStatement pst = conn.prepareStatement(sql);
ResultSet rst = pst.executeQuery();
while(rst.next()) {
names.add(rst.getString("delegation_name"));
}
rst.close();
pst.close();
}catch (SQLException e) {
// TODO: handle exception
e.printStackTrace();
}
return names;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void setSkipProfileNamePage( boolean skippable )\n\t{\n\t mSkipProfileNamePage = skippable;\t \n\t doSkipProfileNamePage( skippable );\n\t}",
"String getPageFullName();",
"List<String> getAttendingDoctorNames();",
"public Call<ExpResult<List<DelegationInfo>>> getDelegations(MinterAddress addr... | [
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"0.46703687",
"0.4608382",
"0.45964837",
"0.45964602",
"0.45933834",
"0.... | 0.5872283 | 0 |
Se inicializan las imagenes y el frame del movimiento | public A(){
super();
AtrEA = new GreenfootImage("AtrEA.png");
DerEA1 = new GreenfootImage("DerEA1.png");
DerEA2 = new GreenfootImage("DerEA2.png");
DerEA3 = new GreenfootImage("DerEA3.png");
FrtEA1 = new GreenfootImage("FrtEA1.png");
FrtEA2 = new GreenfootImage("FrtEA2.png");
FrtEA3 = new GreenfootImage("FrtEA3.png");
IzqEA1 = new GreenfootImage("IzqEA1.png");
IzqEA2 = new GreenfootImage("IzqEA2.png");
IzqEA3 = new GreenfootImage("IzqEA3.png");
animationE = 0;
start = 1;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void crearImagenes() {\n try {\n fondoJuego1 = new Imagenes(\"/fondoJuego1.png\",39,-150,-151);\n fondoJuego2 = new Imagenes(\"/fondoJuego2.png\",40,150,149);\n regresar = new Imagenes(\"/regresar.png\",43,90,80);\n highLight = new Imagenes(\"/cursorSubmenu... | [
"0.6735115",
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"0.61702734",
"0.6154769",
"0.6116175",
"0.6114676",
... | 0.0 | -1 |
En el metodo act, se revisa el borde,la bandera de restaura, el frame de animacion y si aun deberia estar vivo el enemigo. | public void act() {
check = borde(flag);
if(check == true )
restaura();
moveRandom(move);
if(animationE % 3 == 0){
checkanimation();
}
animationE++;
alive=checkfire();
if(alive == true){
enemyoff();
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void actualiza() {\n //Determina el tiempo que ha transcurrido desde que el Applet inicio su ejecución\n long tiempoTranscurrido = System.currentTimeMillis() - tiempoActual;\n \n //Guarda el tiempo actual\n \t tiempoActual += tiempoTranscurrido;\n \n //A... | [
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"0.58244514",
"0.5798448",
"0.5776824",
"0.57632047",
"0.5759... | 0.6812469 | 0 |
Este metodo decodifica la direccion, para hacer la animacion respectiva | public void checkanimation(){
if(super.movecheck(flag) == 1)
animationup();
if( super.movecheck(flag)== 2)
animationdown();
if(super.movecheck(flag) == 3)
animationleft();
if(super.movecheck(flag)== 4)
animationright();
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n protected void animateWalking() {\n if (seqIdx > 7) {\n seqIdx = 0;\n }\n if (walking) {\n this.setImage(\"images/bat/bat_\" + seqIdx + FILE_SUFFIX);\n } else {\n this.setImage(\"images/bat/bat_0.png\");\n }\n seqIdx++;\n ... | [
"0.5879184",
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"0.56934077",
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"0.5430623",
"0.5430623",
"0.5430623",
"0.5430623",
"0.5427482",
"0.5422257... | 0.0 | -1 |
Imagen que restaura el enemigo | public void restaura(){
super.restauraE();
setImage("FrtEA1.png");
check = false;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void rellenaImagen()\n {\n rellenaDatos(\"1\",\"Samsung\", \"cv3\", \"blanco\" , \"50\", 1200,2);\n rellenaDatos(\"2\",\"Samsung\", \"cv5\", \"negro\" , \"30\", 600,5);\n }",
"public void actualizarImagen() {\n\t\tentidadGrafica.actualizarImagen(this.valor);\n\t}",
"public void cambi... | [
"0.69184875",
"0.6889469",
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"0.62704253",
"0.62298155",
"0.6207974",
"0.61683... | 0.58894557 | 43 |
Remueve al enemigo del mundo | public void enemyoff(){
getWorld().removeObject(this);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void cumplirAños(){\n this.setEdad(((byte)(this.getEdad()+1)));\n }",
"private void esvaziaMensageiro() {\n\t\tMensageiro.arquivo=null;\n\t\tMensageiro.lingua = linguas.indexOf(lingua);\n\t\tMensageiro.linguas=linguas;\n\t\tMensageiro.nomeArquivo=null;\n\t}",
"public int EliminarNodo() {\r\n ... | [
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"0.598028... | 0.0 | -1 |
/ this method adds a given contact to our list if its not already present | public boolean add(Contact contact) {
/* first we determine if the contact is already present */
boolean alreadyPresent = false;
for (Contact c : contacts) {
if (c.getContactID().equals(contact.getContactID())) {
alreadyPresent = true;
}
}
/* if the contact is not present then we add it, and return true */
if (!alreadyPresent) {
contacts.add(contact);
System.out.println("Contact Added Successfully!");
return true;
} else {
System.out.println("Contact already present");
return false;
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void addContact() {\n\t\tif (contactCounter == contactList.length) {\n\t\t\tSystem.err.println(\"Maximum contacts reached. \"\n\t\t\t\t\t\t\t\t+ \"No more contact can be added\");\n\t\treturn;\n\t\t}\n\t\t\n\t\treadContactInfo();\t\n\t}",
"public boolean addNewContact(Contact contact){\n if(findCon... | [
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"0.6731576",
"0.67272395",
"0.6705164",
"0.663... | 0.7735046 | 0 |
/ this method remove a contact with given contactId if present in our list | public boolean remove(String contactID) {
for (Contact c : contacts) {
if (c.getContactID().equals(contactID)) {
contacts.remove(c);
System.out.println("Contact removed Successfully!");
return true;
}
}
System.out.println("Contact not present");
return false;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n\tpublic boolean removeContact(String id) {\n\t\treturn false;\n\t}",
"public boolean removeContact(Contact c);",
"public static void deleteContactObj(long id) {\n System.out.println(id);\n contactList.clear();\n Contact deleteMe = null;\n for(Contact contact : contactObj... | [
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"0.7283283",
"0.71086156",
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"0.6187095",
"0.6179154",
"0.61629903"... | 0.74691343 | 0 |
/ This is a GetMethod(Http) is used to check the authorization of Name and Password from Database. Method : loginAdmin Type : Admin parameters: the adminName and adminPassword is of String type Returns : the object of Admin Author : Alok Dixit Date : 25/09/2020 Version : 1.0 | @Override
public Admin loginAdmin(String adminName, String adminPassword){
Admin admin = adminRepository.findAdminByAdminName(adminName);
if (!(admin.getAdminPassword().equals(adminPassword)
&& admin.getAdminName().equals(adminName)))
{
throw new AdminNotFoundException(
"Admin with AdminName [" + adminName + "] and password [" + adminPassword + "] not found");
}
else
{
return admin;
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n\tpublic Admin adminLogin(Admin admin) {\n\t\tString sql = \"select * from admin where adminName = ? and adminPwd = ?\";\n\t\tAdmin admin1 = (Admin) JDBCUtil.executeQueryOne(sql, new adminMapping(), admin.getAdminName(),admin.getAdminPwd());\n\t\tif(admin1 != null){\n\t\t\treturn admin1;\n\t\t}\n\t\tret... | [
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"0.64084256",
"0.6... | 0.6720754 | 4 |
/ This is a GetMethod(Http) used to get the Admin Details using Admin Id from Database. Method : getAdmin Type : Admin parameters: the adminId is of String type Returns : the object of Admin Author : Alok Dixit Date : 25/09/2020 Version : 1.0 | @Override
public Admin getAdmin(String adminId) {
if(!adminRepository.existsById(adminId))
throw new AdminNotFoundException("User with id "+adminId+" Not Found");
return adminRepository.getOne(adminId);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@GetMapping(\"/{id}\")\n public Optional<Admin> getAdmin(@PathVariable int id){\n return adminService.getAdmin(id);\n }",
"@Override\r\n\tpublic List<Admin> getAdminDetails() {\n\t\tList<Admin> admin =dao.getAdminDetails();\r\n return admin;\r\n\t}",
"@Override\r\n\tpublic List<Admin> getAd... | [
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"0.63624775",... | 0.702596 | 3 |
/ This is a DeleteMethod(Http) used to delete the Admin Details using Admin Id from Database. Method : deleteAdmin Type : Boolean parameters: the adminId is of String type Returns : Boolean Author : Alok Dixit Date : 25/09/2020 Version : 1.0 | @Override
public boolean deleteAdmin(String adminId) {
if (!adminRepository.existsById(adminId))
throw new AdminNotFoundException("Customer with id " + adminId + " Not Found");
adminRepository.deleteById(adminId);
return true;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void deleteAdmin(Long idAdmin);",
"@DeleteMapping(\"/{id}\")\n @ResponseStatus(HttpStatus.NO_CONTENT)\n public boolean deleteAdmin(@PathVariable int id){\n return adminService.deleteAdmin(id);\n }",
"@RequestMapping(path = \"/delAdmin/{id}\")\n public String delAdmin(HttpServletReque... | [
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"0.6327988",
"0.6327988",
"0.6241... | 0.72379565 | 5 |
/ This method is used to add new test | @Override
public TestEntity addTest(TestEntity test)
{
test = testDao.save(test);
return test;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test\n void addItem() {\n\n }",
"@Test\n void addItem() {\n }",
"@Override\n\tpublic MedicalTest addTest(MedicalTest test) {\n\tString testId=generateTestId();\n\ttest.setTestId(testId);\n\tMedicalTestUtil.checkPresenceOfTest(test);\n\t\n\t\treturn testDao.save(test);\n\n\t}",
"@Override\n\tpubl... | [
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"0.67170477",
"0.6696939",
"0.66883636",
"0.6684227",
"0.66... | 0.7420699 | 1 |
/ This method is used to update existing test | @Override
public TestEntity updateTest(BigInteger testId, TestEntity test)
{
boolean exists = testDao.existsById(testId);
if (exists)
{
test = testDao.save(test);
return test;
}
throw new TestNotFoundException("Test not found for id="+testId);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"Test update(TestData testData, Test test);",
"@Test\n public void update() {\n }",
"@Test\r\n public void testUpdate() {\r\n }",
"@Test\n public void testUpdate() {\n\n }",
"@Override\n\tpublic void updateTestCase(TestCaseStatus testCaseStatus) {\n\t\t\n\t}",
"@Test\n void testUpdate... | [
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"0.67671406",
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"0.67633975",
"0.... | 0.7205868 | 8 |
/ This method is used to delete existing test | @Override
public TestEntity deleteTest(BigInteger testId)
{
TestEntity test = findById(testId);
testDao.delete(test);
return test;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Test\n\tpublic void testDelete(){\n\t}",
"@Test\n void delete() {\n }",
"@Test\n void delete() {\n }",
"public void delTestByID(int id) {\n\t\ttestRepository.deleteById(id);\n\t\t\n\t}",
"@Override\n\tpublic Test deleteTest(BigInteger testId) throws UserException {\n\t\treturn null;\n\t}",
"... | [
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"0.6906504",
"0.6876256",
"0.6873715",
"0.6872588",
"0.68559223"... | 0.75993115 | 1 |
/ This method is used to find test byId | @Override
public TestEntity findById(BigInteger testId)
{
Optional<TestEntity>optional=testDao.findById(testId);
if(optional.isPresent())
{
TestEntity test=optional.get();
return test;
}
throw new TestNotFoundException("Test not found for id="+testId);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n\tpublic MedicalTest findTestById(String testId) {\n\n\t\tOptional<MedicalTest> optional = testDao.findById(testId);\n\t\tif (optional.isPresent()) {\n\t\t\tMedicalTest test = optional.get();\n\t\t\treturn test;\n\t\t}\n\t\tthrow new MedicalTestNotFoundException(\"Test not found for Test Id= \" + testId... | [
"0.76901925",
"0.72106564",
"0.71399695",
"0.71399695",
"0.71209157",
"0.7085104",
"0.7021825",
"0.69553775",
"0.6930199",
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"0.66646886",
"0.66033196",
"0.65966195",
"0.6590704",
"0.... | 0.7645582 | 1 |
/ This method is used to fetch All test | @Override
public List<TestEntity> fetchAll()
{
List<TestEntity> tests = testDao.findAll();
return tests;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n\tpublic List<MedicalTest> fetchAllTest() {\n\t\tList<MedicalTest> list = testDao.findAll();\n\t\treturn list;\n\t}",
"@Test\n public void selectAll(){\n }",
"public List queryTest() {\n\t\tList list = null;\n\t\tthis.init();\n\t\t try {\n\t\t\t list= sqlMap.queryForList(\"getAllTest\");\n\t\t... | [
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"0.69359326",
"0.6912093",
"0.688343"... | 0.7865265 | 0 |
/ access modifiers changed from: packageprivate | public final void a(AMapNaviCross aMapNaviCross) {
try {
if (this.A && this.U) {
this.ah = true;
if (this.T) {
if (this.f != null) {
this.f.setVisibility(0);
this.f.setIntersectionBitMap(aMapNaviCross);
}
c(true);
}
}
} catch (Throwable th) {
mj.a(th);
rx.c(th, "BaseNaviView", "showCross");
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private stendhal() {\n\t}",
"private Rekenhulp()\n\t{\n\t}",
"@Override\n protected void prot() {\n }",
"public void method_4270() {}",
"@Override\n public void func_104112_b() {\n \n }",
"private void m50366E() {\n }",
"private void kk12() {\n\n\t}",
"public final void mo51373a... | [
"0.7152354",
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"0.6198601",
"0.6198601",
"0.619552",
"0.61842144",
"0.61809874",
"0.615734... | 0.0 | -1 |
/ access modifiers changed from: packageprivate | public final void b() {
try {
if (this.f != null) {
if (this.U && this.f.getVisibility() == 0) {
g();
this.f.setVisibility(8);
this.f.recycleResource();
c(false);
}
this.ah = false;
}
} catch (Throwable th) {
mj.a(th);
rx.c(th, "BaseNaviView", "hideCross");
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private stendhal() {\n\t}",
"private Rekenhulp()\n\t{\n\t}",
"@Override\n protected void prot() {\n }",
"public void method_4270() {}",
"@Override\n public void func_104112_b() {\n \n }",
"private void m50366E() {\n }",
"private void kk12() {\n\n\t}",
"public final void mo51373a... | [
"0.71507126",
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"0.6558074",
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"0.6197293",
"0.6197293",
"0.6194772",
"0.6184139",
"0.6180766",
"0.615739... | 0.0 | -1 |
/ access modifiers changed from: packageprivate | public final void c() {
try {
if (this.V && this.af != null) {
this.aj = null;
this.af.remove();
this.af.setVisible(false);
this.af = null;
c(false);
}
this.ai = false;
} catch (Throwable th) {
mj.a(th);
rx.c(th, "BaseNaviView", "hideModeCross");
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private stendhal() {\n\t}",
"private Rekenhulp()\n\t{\n\t}",
"@Override\n protected void prot() {\n }",
"public void method_4270() {}",
"@Override\n public void func_104112_b() {\n \n }",
"private void m50366E() {\n }",
"private void kk12() {\n\n\t}",
"public final void mo51373a... | [
"0.71513015",
"0.6686406",
"0.6558315",
"0.6482832",
"0.6430476",
"0.63856333",
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"0.6228612",
"0.6197973",
"0.6197973",
"0.61952",
"0.6183631",
"0.61797863",
"0.6157397"... | 0.0 | -1 |
/ access modifiers changed from: packageprivate | public final void a(boolean z2, boolean z3) {
try {
if (this.E != null) {
int i2 = z2 ? 1 : this.L ? 2 : 3;
if (i2 != this.F) {
this.F = i2;
if (this.c != null) {
Message obtain = Message.obtain();
obtain.what = 11;
obtain.arg1 = this.F;
this.c.sendMessage(obtain);
}
}
if (this.T != z2 && !this.z) {
for (AMapNaviViewListener aMapNaviViewListener : this.E) {
try {
aMapNaviViewListener.onLockMap(z2);
} catch (Throwable th) {
th.printStackTrace();
}
}
}
}
if (!this.z) {
this.T = z2;
this.c.removeMessages(0);
if (z2) {
b(false);
} else {
g();
if (z3) {
this.c.sendEmptyMessageDelayed(0, this.S);
}
}
this.R.c(z2);
if (this.s != null) {
this.s.setVisibility(!z2 ? 0 : 8);
}
if (this.t != null && this.a.isRouteListButtonShow()) {
this.t.setVisibility(!z2 ? 0 : 8);
}
d(this.a.isTrafficBarEnabled());
if (z2) {
if (this.ah && this.f != null) {
this.f.setVisibility(0);
this.ag = true;
}
if (this.ai && this.af != null) {
this.af.setVisible(true);
this.ag = true;
return;
}
return;
}
if (this.f != null && this.f.getVisibility() == 0) {
this.f.setVisibility(8);
}
if (this.af != null) {
this.af.setVisible(false);
}
this.ag = false;
}
} catch (Throwable th2) {
mj.a(th2);
rx.c(th2, "BaseNaviView", "setCarLock(boolean isLock, boolean autoRestore)");
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private stendhal() {\n\t}",
"private Rekenhulp()\n\t{\n\t}",
"@Override\n protected void prot() {\n }",
"public void method_4270() {}",
"@Override\n public void func_104112_b() {\n \n }",
"private void m50366E() {\n }",
"private void kk12() {\n\n\t}",
"public final void mo51373a... | [
"0.71513015",
"0.6686406",
"0.6558315",
"0.6482832",
"0.6430476",
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"0.6197973",
"0.6197973",
"0.61952",
"0.6183631",
"0.61797863",
"0.6157397"... | 0.0 | -1 |
/ access modifiers changed from: packageprivate | public final void d() {
try {
if (this.o != null) {
this.o.setVisibility(this.a.isTrafficLayerEnabled() ? 0 : 8);
}
if (this.s != null) {
this.s.setVisibility(8);
}
if (this.t != null) {
this.t.setVisibility(8);
}
a(this.w);
} catch (Throwable th) {
mj.a(th);
rx.c(th, "BaseNaviView", "initLayout");
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private stendhal() {\n\t}",
"private Rekenhulp()\n\t{\n\t}",
"@Override\n protected void prot() {\n }",
"public void method_4270() {}",
"@Override\n public void func_104112_b() {\n \n }",
"private void m50366E() {\n }",
"private void kk12() {\n\n\t}",
"public final void mo51373a... | [
"0.7152354",
"0.66870445",
"0.6557956",
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"0.6198601",
"0.6198601",
"0.619552",
"0.61842144",
"0.61809874",
"0.615734... | 0.0 | -1 |
/ access modifiers changed from: private / access modifiers changed from: public | private void b(boolean z2) {
try {
if (this.L != z2) {
int i2 = z2 ? 2 : this.T ? 1 : 3;
if (this.F != i2) {
this.F = i2;
if (this.c != null) {
Message obtain = Message.obtain();
obtain.what = 11;
obtain.arg1 = this.F;
this.c.sendMessage(obtain);
}
}
}
updateRouteOverViewStatus(z2);
} catch (Throwable th) {
rx.c(th, "BaseNaviView", "setIsRouteOverviewNow");
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private stendhal() {\n\t}",
"private Rekenhulp()\n\t{\n\t}",
"@Override\n protected void prot() {\n }",
"@Override\n public void perish() {\n \n }",
"private PropertyAccess() {\n\t\tsuper();\n\t}",
"@Override\n public boolean isPrivate() {\n return true;\n }",
"private Rep... | [
"0.7241106",
"0.6884593",
"0.6832823",
"0.6526034",
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"0.6269718",
"0.62565446",
"0.62383384",
"0.62383384",
"0.6237719",
"0.62261933"... | 0.0 | -1 |
Setus up the Bukkit task. | private void setupBukkitManaRegenerationTask(){
if(time <= 0) return;
if(bukkitTaskID > 0){
Bukkit.getScheduler().cancelTask(bukkitTaskID);
}
if(bukkitTaskID < 0 || !Bukkit.getScheduler().isQueued(bukkitTaskID)){
int tickTime = time * 20;
bukkitTaskID = Bukkit.getScheduler().scheduleSyncRepeatingTask((JavaPlugin)plugin, new Runnable() {
@Override
public void run() {
for(AbstractTraitHolder holder : ManaRegenerationTrait.this.getTraitHolders()){
for(RaCPlayer player : holder.getHolderManager().getAllPlayersOfHolder(holder)){
if(player != null && player.isOnline()){
double modValue = modifyToPlayer(player, value, "value");
Bukkit.getPluginManager().callEvent(new ManaRegenerationEvent(player.getPlayer(), modValue));
}
}
}
}
}, tickTime, tickTime);
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"protected void setupTask(Task task) {\n }",
"public CompassTask(HG plugin)\r\n/* 23: */ {\r\n/* 24:20 */ this.plugin = plugin;\r\n/* 25:21 */ Bukkit.getScheduler().scheduleSyncRepeatingTask(HG.plugin, this, 25L, 25L);\r\n/* 26: */ }",
"public void setUp() {\n instance = new Task();\n ... | [
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"0.5492928",
"0.5482072",
"0.5464663",
"0.5457... | 0.6117084 | 2 |
TODO Autogenerated method stub USER TABLE | @Override
public void onCreate(SQLiteDatabase db) {
String CREATE_USER_TABLE = "CREATE TABLE " + TABLE_USER + "("
+ COLUMN_USER_NAME + " TEXT PRIMARY KEY,"+ COLUMN_WORKING_HOURS +" INT ,"
+ COLUMN_WEEKEND + " INT"+ ")";
//COMPANY TABLE
String CREATE_COMPANY_TABLE = "CREATE TABLE " + TABLE_COMPANY + "("
+ COLUMN_COMPANY_NAME + " TEXT "+")";
//LOCATION TABLE
String CREATE_LOCATION_TABLE = "CREATE TABLE " + TABLE_LOCATION + "("
+ COLUMN_LOCATION_NAME + " TEXT"+")";
//LOCATION TABLE
String CREATE_CLIENT_TABLE = "CREATE TABLE " + TABLE_CLIENT + "("
+ COLUMN_CLIENT_NAME + " TEXT"+")";
String CREATE_TIMESHEET_TABLE = "CREATE TABLE " + TABLE_TIMESHEET + "("
+ COLUMN_DATE + " TEXT PRIMARY KEY," + COLUMN_DAY + " TEXT,"
+ COLUMN_TIME_IN + " TEXT," + COLUMN_TIME_OUT + " TEXT,"
+ COLUMN_TOTAL_HOURS + " TEXT," + COLUMN_CLIENT + " TEXT,"
+ COLUMN_LOCATION + " TEXT," + COLUMN_WORK_DONE + " TEXT,"
+ COLUMN_REMARKS + " TEXT" + ")";
db.execSQL(CREATE_USER_TABLE);
db.execSQL(CREATE_COMPANY_TABLE);
db.execSQL(CREATE_LOCATION_TABLE);
db.execSQL(CREATE_CLIENT_TABLE);
db.execSQL(CREATE_TIMESHEET_TABLE);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n\tpublic String getTableName() {\n\t\treturn \"user\";\n\t}",
"public void createTableUser(){\r\n Statement stmt;\r\n try {\r\n stmt = this.getConn().createStatement();\r\n ///////////////*********remember to retrieve*************/////////////\r\n //stmt.... | [
"0.76641923",
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"0.70681393",
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"0.6729644",
"0.66697085",
"0.65963817",
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"0.6490347",
"0.6477197",
"0.6463965",
"0.645146",
"0.64448065",
"0.64429826"... | 0.0 | -1 |
TODO Autogenerated method stub | @Override
public void onUpgrade(SQLiteDatabase db, int oldVersion, int newVersion) {
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\r\n\tpublic void comer() \r\n\t{\n\t\t\r\n\t}",
"@Override\n\tpublic void comer() {\n\t\t\n\t}",
"@Override\n public void perish() {\n \n }",
"@Override\r\n\t\t\tpublic void annadir() {\n\r\n\t\t\t}",
"@Override\n\tpublic void anular() {\n\n\t}",
"@Override\n\tprotected void getExr... | [
"0.66708666",
"0.65675074",
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"0.61920846",
"0.61867654",
"0.6173323",
"0.61328775",
"0.61276996",
"0... | 0.0 | -1 |
StartUSER SPECIFIC DATA TRANSACTIONS// | public boolean addUserData (UserData userData) //ADD
{
ContentValues contentValues = new ContentValues();
contentValues.put(COLUMN_USER_NAME, userData.getUserName());
contentValues.put(COLUMN_WORKING_HOURS, userData.getWorkingHours());
contentValues.put(COLUMN_WEEKEND, userData.getWeekendType());
long result = db.insert(TABLE_USER, null, contentValues);
db.close();
//Notifying if transaction was successful
if(result == -1)return false;
else return true;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void begin()\n {\n checkTransactionJoin();\n if (joinStatus != JoinStatus.NO_TXN)\n {\n throw new NucleusTransactionException(\"JTA Transaction is already active\");\n }\n\n UserTransaction utx;\n try\n {\n utx = getUserTransaction();... | [
"0.6408418",
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"0.6212167",
"0.6189805",
"0.61467034",
"0.6140858",
"0.6135918",
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"0.58365065",
"0.5834856",
"0.5767572",
"0.57378703",
"0.5714663",
"0.5707896",
"0.57058... | 0.0 | -1 |
EndUSER SPECIFIC DATA TRANSACTIONS// StartCOMPANY DATA TRANSACTIONS// | public boolean addCompanyData (CompanyData companyData) //ADD
{
ContentValues contentValues = new ContentValues();
contentValues.put(COLUMN_COMPANY_NAME, companyData.getCompanyName());
long result = db.insert(TABLE_COMPANY, null, contentValues);
db.close();
//Notifying if transaction was successful
if(result == -1)return false;
else return true;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void setCompany(String company) {\r\n\t\tthis.company = company;\r\n\t}",
"public void setCompany(String company) {\n\t\tthis.company = company;\n\t}",
"public void setCompany(String company) {\n this.company = company;\n }",
"public void setCompany(String company)\r\n {\r\n m_company... | [
"0.57010114",
"0.56626683",
"0.5592802",
"0.54137176",
"0.52511024",
"0.52123475",
"0.5126337",
"0.5119245",
"0.5058204",
"0.50354666",
"0.5015424",
"0.5005362",
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"0.4904746",
"0.4861968",
"0.48531446",
"0.48474488",
"0.48040006",
"0.48032588",
"0.4... | 0.0 | -1 |
EndCOMPANY DATA TRANSACTIONS// StartLOCATION DATA TRANSACTIONS// | public boolean addLocationData (LocationData locationData) //ADD
{
ContentValues contentValues = new ContentValues();
contentValues.put(COLUMN_LOCATION_NAME, locationData.getLocationName());
long result = db.insert(TABLE_LOCATION, null, contentValues);
db.close();
//Notifying if transaction was successful
if(result == -1)return false;
else return true;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n\tpublic void endElement(String uri, String localName, String qName)\n\t\t\tthrows SAXException {\n\t\t\n\t\tif(qName.equals(\"location\")){\n\t\t\t\n\t\t\t//locationEntity.setExits(exits);\n\t\t\tlocationEntity.setObjects(tempListForObject);\n\t\t\tlocationEntity.setObservers(characters);\n\t\t\tlocati... | [
"0.5483611",
"0.5112229",
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"0.4954023",
"0.49097002",
"0.4865164",
"0.4865164",
"0.4860976",
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"0.4732917",
"0.4732917",
"0.4732917",
"0.47223917",
"0.47055393",
"0.4704... | 0.0 | -1 |
EndLOCATION DATA TRANSACTIONS// StartCLIENT DATA TRANSACTIONS// | public boolean addClientData (ClientData clientData) //ADD
{
ContentValues contentValues = new ContentValues();
contentValues.put(COLUMN_CLIENT_NAME, clientData.getClientName());
long result = db.insert(TABLE_CLIENT, null, contentValues);
db.close();
//Notifying if transaction was successful
if(result == -1)return false;
else return true;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void changeClientData(Client client) throws Exception {\n DataBaseBroker dbb = new DataBaseBroker();\n dbb.loadDriver();\n dbb.establishConnection();\n dbb.overwriteClient(client);\n dbb.commit();\n dbb.closeConnection();\n }",
"@Override\n protected byte[] ... | [
"0.57584685",
"0.5709017",
"0.55585057",
"0.55585057",
"0.55585057",
"0.55429274",
"0.55290395",
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"0.5483599",
"0.5483599",
"0.5483599",
"0.53358287",
"0.5201532",
"0.... | 0.52720475 | 19 |
EndCLIENT DATA TRANSACTIONS// StartTIMESHEET DATA TRANSACTIONS// | public void addData(TimeSheetData dataList) {
SQLiteDatabase db = this.getWritableDatabase();
Log.v("databse calll", dataList + "");
ContentValues values = new ContentValues();
// values.put(COLUMN_SERIAL_NUMBER, dataList.getmSerialNumber());
values.put(COLUMN_DATE, dataList.getmDate());
values.put(COLUMN_DAY, dataList.getmDay());
values.put(COLUMN_TIME_IN, dataList.getmTimeIn());
// Inserting Row
db.insert(TABLE_TIMESHEET, null, values);
db.close(); // Closing database connection
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void setBeginTime(String time){beginTime = time;}",
"void setBeginPosition(net.opengis.gml.x32.TimePositionType beginPosition);",
"public void setStart_time(long start_time) {\n this.start_time = start_time;\n }",
"public void addTimetable(String date, String slot, String room, String teache... | [
"0.46765855",
"0.46688968",
"0.45362025",
"0.44382468",
"0.44227633",
"0.4354722",
"0.43443406",
"0.43443406",
"0.43204346",
"0.43067008",
"0.4306209",
"0.4306209",
"0.4306209",
"0.43056175",
"0.42801106",
"0.42794627",
"0.42794627",
"0.42679748",
"0.4253757",
"0.42512873",
"... | 0.0 | -1 |
TODO Autogenerated method stub | public static void main(String[] args) {
Scanner scan = new Scanner (System.in);
//*variables
int name;
//** Processing
System.out.println("How many names are you inputting?");
name = Integer.parseInt(scan.nextLine());
String [] names=new String [name];
System.out.println("Enter the " + name + " names one by one");
for (int i = 0; i<name; i++)
names[i] = scan.nextLine();
for (int i = name - 1; i >=0; i--){
System.out.println(names[i]);
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\r\n\tpublic void comer() \r\n\t{\n\t\t\r\n\t}",
"@Override\n\tpublic void comer() {\n\t\t\n\t}",
"@Override\n public void perish() {\n \n }",
"@Override\r\n\t\t\tpublic void annadir() {\n\r\n\t\t\t}",
"@Override\n\tpublic void anular() {\n\n\t}",
"@Override\n\tprotected void getExr... | [
"0.6671074",
"0.6567672",
"0.6523024",
"0.6481211",
"0.6477082",
"0.64591026",
"0.64127725",
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"0.61922914",
"0.6186996",
"0.6173591",
"0.61327106",
"0.61285484",
"0.608016... | 0.0 | -1 |
Two parameter constructor. This class needs to Data object and PrintData object to make operations. | public ManageBranchEmployee(Data data,PrintData printData){
this.data = data;
this.printData = printData;
trackingNumbers = new ArrayList<>();
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public Data() {}",
"public Data() {\n }",
"public Data() {\n }",
"public Data() {\n \n }",
"public Model(DataHandler data){\n //assign the data parameter to the instance\n //level variable data. The scope of the parameter\n //is within the method and that is where the JVM \n... | [
"0.676062",
"0.6730945",
"0.6730945",
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"0.6585638",
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"0.6543099",
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"0.6151393",
"0.6094016",
"0.60909796",
"0.6087181",
"0.6074453",
"0.60703456",
"0.6033077"... | 0.0 | -1 |
This method manages the Branch Employee First it gets a choice from user and it makes that operation | public void manage(int employeeID){
ID = employeeID;
int choice;
do {
choice = GetChoiceFromUser.getSubChoice(5,new MenuForBranchEmployee(data.getBranchEmployee(employeeID).getFirstName()));
if (choice==1) {
enterShipment();
} else if (choice == 2){
removeShipment();
}
else if(choice == 3){
addCustomer();
}
else if(choice == 4){
removeCustomer();
}
else if(choice == 5){
updateStatusOfShipment(data.getBranchEmployee(ID).getFirstName(),data.getBranchEmployee(ID).getBranchID());
}
}while (choice!=0);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void addEmployee(){\n\t\tSystem.out.println(\"Of what company is the employee?\");\n\t\tSystem.out.println(theHolding.companies());\n\t\tint selected = reader.nextInt();\n\t\treader.nextLine();\n\t\tif(selected > theHolding.getSubordinates().size()-1){\n\t\t\tSystem.out.println(\"Please select a correct opt... | [
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"0.5579544",
"0.5573222",
"0.55728954",
"0.55627304",
"0.55316305... | 0.6926588 | 0 |
This method adds a new Shipment to the System. It uses data class to add new Shipment. | public void enterShipment(){
Shipment shipment = new Shipment();
shipment.setShipmentID(data.numberOfShipment());
shipment.setReceiver(new Customer(data.numberOfCustomer(), GetChoiceFromUser.getStringFromUser("Enter Receiver FirstName: "),
GetChoiceFromUser.getStringFromUser("Enter Receiver Last Name: "),data.getBranchEmployee(ID).getBranchID()));
shipment.setSender(new Customer(data.numberOfCustomer(), GetChoiceFromUser.getStringFromUser("Enter Sender First Name: "),
GetChoiceFromUser.getStringFromUser("Enter Sender Last Name: "),data.getBranchEmployee(ID).getBranchID()));
shipment.setCurrentStatus(getStatus());
shipment.setTrackingNumber(getUniqueTrackingNumber());
shipment.setBranchID(data.getBranchEmployee(ID).getBranchID());
data.getBranch(shipment.getBranchID()).addShipment(shipment);
data.addShipment(shipment,shipment.getReceiver());
System.out.printf("Your Shipment has added with tracking Number %d !\n",shipment.getTrackingNumber());
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"Shipment createShipment();",
"void saveShipment(Shipment shipment);",
"public void insertShipment(String custType, int xCoord, int yCoord, int capacity,int shipmentIndex)\r\n\t{\r\n\t\tVRPBShipment thisShip = new VRPBShipment(custType, xCoord, yCoord, capacity,shipmentIndex); //creates shipment\r\n\t\t//System... | [
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"0.56881875",
"0.5671774",
"0.56502444",
"0.5627299",
"0.5568342",
"0.5527... | 0.7283163 | 0 |
This method removes a Shipment from the System. It uses data class to remove Shipment. | public void removeShipment(){
String message = "Choose one of the shipment to remove";
if (printData.checkAndPrintShipment(message,data.getBranchEmployee(ID).getBranchID())){
subChoice = GetChoiceFromUser.getSubChoice(data.numberOfShipment());
if (subChoice!=0){
data.getBranch(data.getShipment(subChoice-1).getBranchID()).removeShipment(data.getShipment(subChoice-1));
data.removeShipment(data.getShipment(subChoice-1),data.getShipment(subChoice-1).getReceiver());
System.out.println("Your Shipment has removed Successfully!");
}
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public ReceivingSpace planToRemoveGoodsListWithShippingSpace(ReceivingSpace receivingSpace, String shippingSpaceId, Map<String,Object> options)throws Exception;",
"public void deleteSpaceship(Spaceship spaceship) throws SQLException, ExceptionsDatabase {\r\n connection();\r\n String updateRunway = ... | [
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"0.5198723",
"0.5188002",
"0.51800823",
"0.5161361",
"0.5152594",
"0.51... | 0.7470369 | 0 |
This method updates the status of Shipment. It uses data class to updates the status. | public void updateStatusOfShipment(String name,int id){
int k;
for ( k = 0; k < 45; k++) System.out.print("-");
System.out.print("\n"+" ");
System.out.println("Welcome Employee " + name + " to the Status Updating Panel.");
for ( k = 0; k < 45; k++) System.out.print("-");
System.out.print("\n");
String message = "Choose one of the shipment to update Status";
if (printData.checkAndPrintShipment(message,id)){
subChoice = GetChoiceFromUser.getSubChoice(data.numberOfShipment());
if (subChoice!=0){
data.getShipment(subChoice-1).setCurrentStatus(getStatus());
System.out.println("Shipment Status has changed Successfully!");
}
}
else{
System.out.println("To change status please add a shipment.");
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\r\n\tpublic int updateShipInfoById(int ship_time, int ship_status, int so_id) {\n\t\treturn orderInfoDao.updateShipInfoById(ship_time, ship_status, so_id);\r\n\t}",
"public void setShipStatus(Boolean shipStatus) {\n this.shipStatus = shipStatus;\n }",
"public void setStatus(OrderStatus upda... | [
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"0.65453935",
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"0.5692547",
"0.5663408",
"0.55946296",
"0.55580616",
"0.55089... | 0.67330396 | 0 |
This method adds a new Customer to the System. It uses data class to add new Customer. | public void addCustomer(){
Customer customer = new Customer();
customer.setId(data.numberOfCustomer());
customer.setFirstName(GetChoiceFromUser.getStringFromUser("Enter First Name: "));
customer.setLastName(GetChoiceFromUser.getStringFromUser("Enter Last Name: "));
data.addCustomer(customer,data.getBranch(data.getBranchEmployee(ID).getBranchID()));
System.out.println("Customer has added Successfully!");
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void addCustomer() {\r\n\t\tdo {\r\n\t\t\tString name = getToken(\"Enter the customer's name: \");\r\n\t\t\tString phoneNumber = getToken(\"Enter the phone number: \");\r\n\t\t\tCustomer customer = store.addCustomer(name, phoneNumber);\r\n\t\t\tif (customer == null) {\r\n\t\t\t\tSystem.out.println(\"Could n... | [
"0.8048293",
"0.7826554",
"0.76512337",
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"0.7514099",
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"0.7244313",
"0.7216874",
"0.7192936",
"0.71867514",
"0.716... | 0.8425702 | 0 |
This method removes a Customer from the System. It uses data class to remove Customer. | public void removeCustomer(){
String message = "Choose one of the Customer to remove it";
if (printData.checkAndPrintCustomer(message)){
subChoice = GetChoiceFromUser.getSubChoice(data.numberOfCustomer());
if (subChoice!=0){
data.removeCustomer(data.getCustomer(subChoice-1),data.getBranch(data.getBranchEmployee(ID).getBranchID()));
System.out.println("Customer has removed Successfully!");
}
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\r\n\tpublic void removeCustomer() {\n\t\t\r\n\t}",
"void removeCustomer(Customer customer);",
"BrainTreeCustomerResult removeCustomer(BrainTreeCustomerRequest request);",
"@Override\n\tpublic void removeCustomer(Customer customer) throws Exception {\n\t\tConnection con = pool.getConnection();\n\t\t... | [
"0.80665255",
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"0.6922966",
"0.6865151",
"0.68455213",
"0.68455213",
"0.6836039"... | 0.779623 | 4 |
This method creates a Random unique number between 100000 and 999999. | public int getUniqueTrackingNumber(){
boolean is_used = false;
int number;
do {
number = (int)(Math.random() * 999999 + 100000);
for (int i = 0; i < trackingNumbers.size() ; i++) {
if (trackingNumbers.get(i) == number){
is_used=true;
}
}
}while (is_used);
trackingNumbers.add(number);
return number;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public static String generateRandomInteger() {\n SecureRandom random = new SecureRandom();\n int aStart = 1;\n long aEnd = 999999999;\n long range = aEnd - (long) aStart + 1;\n long fraction = (long) (range * random.nextDouble());\n long randomNumber = fraction + (long) aS... | [
"0.7450962",
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"0.66273427",
"0.65845215",
"0.658073",
"0.65805423",
"0.6580203",
"... | 0.6242256 | 56 |
This method is to determine status of the shipment. | public String getStatus(){
int chosen;
System.out.println("Choose a Shipment Status ?");
System.out.println("[1] Pending ");
System.out.println("[2] Picked Up");
System.out.println("[3] In transit to destination.");
System.out.println("[4] Delivered.");
System.out.println("[5] Out of Delivery.");
System.out.print( "Answer: ");
chosen = GetChoiceFromUser.getSubChoice(5);
switch (chosen){
case 1 :
return "Pending";
case 2:
return "Picked Up";
case 3 :
return "In transit to destination.";
case 4:
return "Delivered";
case 5:
return "Out of Delivery.";
default:
return "No info";
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public Boolean getShipStatus() {\n return shipStatus;\n }",
"ShipmentStatus createShipmentStatus();",
"public void setShipStatus(Boolean shipStatus) {\n this.shipStatus = shipStatus;\n }",
"io.opencannabis.schema.commerce.CommercialOrder.OrderStatus getStatus();",
"io.opencannabis.schem... | [
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"0.5965253",
"0.596525... | 0.5978115 | 19 |
An interface which describes a single component. It contains information about component type, its available properties and more. A component descriptor provides information about the real implementation of the component, whilst a component definition describes its configuration. | public interface IComponentDescriptor {
/**
* Returns the component type.
*
* @return class of the described component
*/
Class<?> getComponentType();
// /**
// * Returns all properties descriptions (meta-properties) of this component.
// *
// * @return list of meta properties
// */
// Collection<MetaProperty> getProperties();
// /**
// * Returns required properties descriptions (meta-properties) of this component. These properties are required to
// * proper component initialization.
// *
// * @return list of required meta properties
// */
// Collection<MetaProperty> getRequriedProperties();
// /**
// * Returns optional properties descriptions (meta-properties) of this component. These properties are not required
// * for proper component initialization.
// *
// * @return list of optional meta properties
// */
// Collection<MetaProperty> getOptionalProperties();
/**
* Returns list containing sequences of parameters types of available constructors.
*
* @return list of available constructor parameters
*/
List<List<Class<?>>> getConstructorParametersTypes();
/**
* Checks if described component contains a property with a given name.
*
* @param name
* name of a property
* @return true if this described component contains a needed property
*/
boolean containsProperty(String name);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public ComponentDescriptor() {\r\n\t\t// initialize empty collections\r\n\t\tconstructorParametersTypes = new LinkedList<List<Class<?>>>();\r\n//\t\trequiredProperties = new HashMap<String, MetaProperty>();\r\n//\t\toptionalProperties = new HashMap<String, MetaProperty>();\r\n\t}",
"@Override\n public Describ... | [
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"0.5643639",
"0.56216395",
"0.56040865",
"0.55914",
"0.555374... | 0.8056945 | 0 |
Returns the component type. | Class<?> getComponentType(); | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"String componentTypeName();",
"public ComponentType getComponentType()\n {\n return this.componentType;\n }",
"public Class<?> getComponentType();",
"public String getComponentTagType()\n {\n return componentTagType;\n }",
"public ComponentTypeDescription getComponentDescription()... | [
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"0.68954647",
"0.68886614",
"0.68886614",
"0.6868061",
"0.68555... | 0.73645407 | 5 |
/ Returns all properties descriptions (metaproperties) of this component. | List<List<Class<?>>> getConstructorParametersTypes(); | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public PropertyDescriptor[] getPropertyDescriptors () {\n return desc;\n }",
"PropertyDesc[] getPropertyDesc()\r\n\t{\r\n\t\tPropertyDesc[] p = new PropertyDesc[properties.size()];\r\n\t\tint i = 0;\r\n\t\tfor (Variable v : properties)\r\n\t\t{\r\n\t\t\tp[i++] = new PropertyDesc(v.name, v.varType, v.cl... | [
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"0.73414075",
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"0.72764575",
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"0.70040995",
"0.6990774",
"0.6989723",
"0.69835114",
"0.69396436",
"0.6921711... | 0.0 | -1 |
Checks if described component contains a property with a given name. | boolean containsProperty(String name); | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"boolean hasPropertyLike(String name);",
"public boolean hasProperty(String name) {\n for(Pp property : properties){\n if(property.getId().equals(name))\n return true;\n }\n return false;\n }",
"public boolean hasProperty(String name) {\n return properties.ha... | [
"0.8133681",
"0.81180406",
"0.8038427",
"0.80217177",
"0.79049987",
"0.7745588",
"0.7721605",
"0.7404203",
"0.7306223",
"0.7305819",
"0.72496444",
"0.72394806",
"0.72099614",
"0.72099614",
"0.72099614",
"0.71844393",
"0.71023643",
"0.7059665",
"0.7029529",
"0.7028409",
"0.702... | 0.85901207 | 0 |
add object to stack | public void push(E object) {stackList.insertAtFront(object);} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void push(Object obj) {\n if (top < stack.length - 1) {\n stack[++top] = obj;\n }\n else\n {\n increaseStackSize(1);\n stack[++top] = obj; \n }\n }",
"private final void push(Object ob) {\r\n\t\teval_stack.add(ob);\r\n\t}",
"public v... | [
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"0.7623007",
"0.7547661",
"0.74907255",
"0.740841",
"0.73550576",
"0.726548",
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"0.71379435",
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"0.6918915",
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"0.6869973",
"0.68636835",
"0.67997885",
"0.67644453",
"0.668135",
"0.66712856",
"0.664235",... | 0.8100505 | 0 |
remove object from stack | public E pop() throws NoSuchElementException{
return stackList.removeFromFront();
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"Object remove();",
"public void deleteStack(){\n // check if there is any stack present or not\n if(this.arr==null){\n System.out.println(\"No stack present, first create a stack\");\n return;\n }\n // if stack is present\n topOfStack=-1;\n arr=null... | [
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"0.71641797",
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"0.70049614",
"0.6908359",
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"0.6810217",
"0.6808429",
"0.67883146",
"0.6783508",
"0.6700224",
"0.66952497"... | 0.0 | -1 |
determine if stack is empty | public boolean isEmpty() {return stackList.isEmpty();} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public boolean stackEmpty() {\r\n\t\treturn (top == -1) ? true : false;\r\n\t }",
"public boolean isEmpty() {\n \treturn stack.size() == 0;\n }",
"public boolean isEmpty(){\n return this.stack.isEmpty();\n\n }",
"@Override\r\n\tpublic boolean isEmpty() {\r\n\t\treturn stack.isEmpty();\r\n\t}... | [
"0.8802639",
"0.87166715",
"0.8657691",
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"0.85825735",
"0.85529655",
"0.84676194",
"0.84614295",
"0.8453391",
"0.84482294",
"0.84256136",
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"0.8420987",
"0.8393726",
"0.83681774",
"0.8355475",
"0.8345752",
"0.8342336",
"0.8314724",
"0.8275... | 0.86350924 | 4 |
Constructor for a new instance of the game map processor. This processor will be bound to one map. | @SuppressWarnings("nls")
public GameMapProcessor(@NonNull final GameMap parentMap) {
super("Map Processor");
parent = parentMap;
unchecked = new TLongArrayList();
running = false;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public Map() {\n\n\t\t}",
"public MapGenerator(GameMap map) {\n\n gameMap = map;\n setGuiHashMap();\n firstCountryFlag=true;\n validator = new MapValidator(gameMap);\n }",
"public void initializeMap() {\n\t\tgameMap = new GameMap(GameMap.MAP_HEIGHT, GameMap.MAP_WIDTH);\n\t\tgameM... | [
"0.69704187",
"0.69173604",
"0.68567556",
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"0.66280276",
"0.6625752",
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"0.6244565",
"0.6239921",
"0.6234099",
"0.62292594",
"0.622263... | 0.7339413 | 0 |
This method starts or resumes the map processor. | @Override
public synchronized void start() {
pauseLoop = false;
if (running) {
synchronized (unchecked) {
unchecked.notify();
}
} else {
running = true;
super.start();
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n\tpublic void onResume() {\n\t\tsuper.onResume();\n\t\tif(map!=null)\n\t\t{\n\t\t\tsetup();\n\t\t}\n\t}",
"@Override\n public void onResume() {\n super.onResume();\n mMap.onResume();\n }",
"@Override\n public void onResume() {\n super.onResume();\n mapView.onResume();\n }... | [
"0.7299477",
"0.6882886",
"0.6416284",
"0.6416284",
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"0.6384617",
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"0.6021858",
"0.59706616",
"0.5944657",
"0.5937096",
"0.5936147",
"0.59230214... | 0.0 | -1 |
Procedure function that is used to collect data from the map of the game. Do not call this function from any other class. | @Override
public boolean execute(final long key, @NonNull final MapTile tile) {
synchronized (unchecked) {
unchecked.add(key);
}
return true;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void loadMap(){\n level= dataBase.getData(\"MAP\",\"PLAYER\");\n }",
"private void getData(){\n mapFStreets = new ArrayList<>();\n mapFAreas = new ArrayList<>();\n mapIcons = new ArrayList<>();\n coastLines = new ArrayList<>();\n //Get a rec... | [
"0.6636699",
"0.6455242",
"0.63685656",
"0.6332243",
"0.63316965",
"0.6329172",
"0.63163227",
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"0.6039197",
"0.60190994",
"0.6004875",
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"0.5953283",
"0.5933062",
"0.59034055",
"0.5888229",
"0.58830154",
"0.585532... | 0.0 | -1 |
The main method of the game map processor. | @SuppressWarnings("nls")
@Override
public void run() {
while (running) {
while (pauseLoop) {
try {
synchronized (unchecked) {
unchecked.wait();
}
} catch (final InterruptedException e) {
LOGGER.debug("Unexpected wakeup during pause.", e);
}
}
performInsideCheck();
if (hasAndProcessUnchecked()) {
continue;
}
try {
synchronized (unchecked) {
unchecked.wait();
}
} catch (final InterruptedException e) {
LOGGER.debug("Unexpected wake up of the map processor", e);
}
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public static void main(String[] args) { \n \tprintAvailableMaps();\n \t\n\t\tGame game = new Game();\n\t\tScanner input = game.openFile();\n \tgame.readMapFile(input);\n \tgame.prepareTable();\n \tTapeHead player = game.preparePlayer();\n \t//game.print();\n \twhile(true) {\n \t\tgame.Game... | [
"0.7781919",
"0.7172654",
"0.7132278",
"0.7032179",
"0.6881986",
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"0.65018356",
"0.6500582",
"0.6499457",
"0.64713913",
"0.64709437",
"0.645735... | 0.0 | -1 |
Perform a check if the player character is inside a building. In case the inside status differs for any level from the state before the check, all tiles are added to the list of tiles that need to be checked once more. | private void performInsideCheck() {
if (checkInsideDone) {
return;
}
checkInsideDone = true;
final Location playerLoc = World.getPlayer().getLocation();
final int currX = playerLoc.getScX();
final int currY = playerLoc.getScY();
int currZ = playerLoc.getScZ();
boolean nowOutside = false;
boolean isInside = false;
for (int i = 0; i < 2; ++i) {
currZ++;
if (isInside || parent.isMapAt(currX, currY, currZ)) {
if (!insideStates[i]) {
insideStates[i] = true;
synchronized (unchecked) {
unchecked.add(Location.getKey(currX, currY, currZ));
}
}
isInside = true;
} else {
if (insideStates[i]) {
insideStates[i] = false;
nowOutside = true;
}
}
}
/*
* If one of the values turned from inside to outside, all tiles are added to the list to be checked again.
*/
if (nowOutside) {
synchronized (unchecked) {
unchecked.clear();
parent.processTiles(this);
}
}
World.getWeather().setOutside(!isInside);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"boolean canBuildBlock(Tile t);",
"public boolean checkBuildings(){\n\t\tfor(Structure building : this.buildings){\n\t\t\tif(!building.isDestroyed()){\n\t\t\t\treturn true;\n\t\t\t}\n\t\t}\n\t\treturn false;\n\t}",
"public boolean isInside(){\n\t\tinside = true;\n\t\tif(map.contains(new Rectangle(x,y,(int)sprit... | [
"0.5778915",
"0.57781494",
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"0.5569713",
"0.5369405",
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"0.51880234",
"0.5168187",
"0.5164152",
"0.5160862",
"0.5149619",
"0.5128376... | 0.73108524 | 0 |
Add a key of a map location to the processor that contains a location on the map that was yet unchecked. | public void reportUnchecked(final long key) {
synchronized (unchecked) {
if (unchecked.contains(key)) {
unchecked.add(key);
}
unchecked.notify();
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n public boolean execute(final long key, @NonNull final MapTile tile) {\n synchronized (unchecked) {\n unchecked.add(key);\n }\n \n return true;\n }",
"public void setOtherLocation( Object key, InputLocation location )\n {\n if ( location != null )\... | [
"0.63689995",
"0.6090081",
"0.5754156",
"0.5687844",
"0.56416804",
"0.5588914",
"0.5541873",
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"0.5456941",
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"0.5367936",
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"0.5271285",
"0.5270526",
"0.5248692",
"0.52465206",
"0.5213614",
"0.51999116... | 0.52135694 | 20 |
Add all tiles in the visible perspective below one location to the list of unchecked tiles again. | private void addAllBelow(@NonNull final Location searchLoc, final int limit) {
int currX = searchLoc.getScX();
int currY = searchLoc.getScY();
int currZ = searchLoc.getScZ();
while (currZ >= limit) {
currX += MapDisplayManager.TILE_PERSPECTIVE_OFFSET;
currY -= MapDisplayManager.TILE_PERSPECTIVE_OFFSET;
currZ--;
final long foundKey = Location.getKey(currX, currY, currZ);
synchronized (unchecked) {
if (!unchecked.contains(foundKey)) {
unchecked.add(foundKey);
}
}
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void clearTiles() {\n \tfor (int x = 0; x < (mAbsoluteTileCount.getX()); x++) {\n for (int y = 0; y < (mAbsoluteTileCount.getY()); y++) {\n setTile(0, x, y);\n }\n }\n }",
"private void updateClearedTiles() {\r\n int count = 0;\r\n for (int r... | [
"0.6263487",
"0.61789846",
"0.60559464",
"0.6032589",
"0.60176754",
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"0.59075505",
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"0.5644494",
"0.56344193",
"0.5587106",
"0.5552259",
"0.5509951... | 0.5062259 | 76 |
Add all tiles in the visible perspective above one location to the list of unchecked tiles again. | private void addAllAbove(@NonNull final Location searchLoc, final int limit) {
int currX = searchLoc.getScX();
int currY = searchLoc.getScY();
int currZ = searchLoc.getScZ();
while (currZ <= limit) {
currX -= MapDisplayManager.TILE_PERSPECTIVE_OFFSET;
currY += MapDisplayManager.TILE_PERSPECTIVE_OFFSET;
currZ++;
final long foundKey = Location.getKey(currX, currY, currZ);
synchronized (unchecked) {
if (!unchecked.contains(foundKey)) {
unchecked.add(foundKey);
}
}
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void clearTiles() {\n \tfor (int x = 0; x < (mAbsoluteTileCount.getX()); x++) {\n for (int y = 0; y < (mAbsoluteTileCount.getY()); y++) {\n setTile(0, x, y);\n }\n }\n }",
"private void updateClearedTiles() {\r\n int count = 0;\r\n for (int r... | [
"0.60973567",
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"0.59240484",
"0.59157187",
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"0.55490446",
"0.5516523",
"0.5513553",
"0.54884... | 0.527894 | 30 |
Add all tiles surrounding this location and the tile above to the list of unchecked tiles. | private void addAllNeighbours(@NonNull final Location searchLoc) {
for (int x = -1; x < 2; x++) {
for (int y = -1; y < 2; y++) {
if ((x == 0) && (y == 0)) {
continue;
}
final long foundKey = Location.getKey(searchLoc.getScX() + x, searchLoc.getScY() + y,
searchLoc.getScZ());
synchronized (unchecked) {
if (!unchecked.contains(foundKey)) {
unchecked.add(foundKey);
}
}
}
}
final long foundKey = Location.getKey(searchLoc.getScX(), searchLoc.getScY(), searchLoc.getScZ() + 1);
synchronized (unchecked) {
if (!unchecked.contains(foundKey)) {
unchecked.add(foundKey);
}
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void clearTiles() {\n \tfor (int x = 0; x < (mAbsoluteTileCount.getX()); x++) {\n for (int y = 0; y < (mAbsoluteTileCount.getY()); y++) {\n setTile(0, x, y);\n }\n }\n }",
"public void clearTiles() {\r\n\r\n for (int i = 0; i < 16; i += 1) {\r\n ... | [
"0.63067734",
"0.58997375",
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"0.53071105",
"0.529363",
"0.52514076",
"0.52447563",
"0.5233695",
"0.5... | 0.5141182 | 27 |
Do a inside check during the next run of the thread loop. | public void checkInside() {
checkInsideDone = false;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n\t\tpublic void run() {\n\t\t\tcheck();\n\t\t}",
"private void checkCrossThreads() {\t\r\n\t\t\tisJumppingBetweenThreads = (currentThread != Thread.currentThread());\r\n\t\t}",
"private void whileShouldRun(PrintWriter out, BufferedReader in) throws IOException, InterruptedException {\n\t\tLog.fine(s... | [
"0.6898877",
"0.63515437",
"0.6113473",
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"0.56871533",
"0.5662636",
"0.5650387",
"0.5646489",
"0.56344163",
"0.5594... | 0.7449126 | 0 |
Clear the map, that should be done in case all tiles got removed from the map and the current checks need to stop instantly. | public void clear() {
synchronized (unchecked) {
unchecked.clear();
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public final void clear() { _map.clear(); }",
"public void clear() {\r\n this.map.clear();\r\n }",
"public void clear() {\n map.clear();\n }",
"public void clear() {\n map.clear();\n }",
"public void clear() { \r\n\t\tmap.clear();\r\n\t}",
"public void clear() {\n\t\tmap.clear();... | [
"0.8228882",
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"0.7461903",
"0.7353299",
"0.72731656",
"0.7269432",
"0.7266969",... | 0.0 | -1 |
Stop this thread as soon as possible. | public void saveShutdown() {
running = false;
synchronized (unchecked) {
unchecked.notify();
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void stop()\n {\n if ( this.threadRunning.get() )\n {\n this.threadRunning.set(false);\n }\n }",
"public void Stop() {\r\n\t\t\r\n\t\tthread = null;\r\n\t}",
"public void stop() {\n thread = null;\n }",
"public synchronized void s... | [
"0.8176857",
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"0.7592739",
"0.7588351",
"0.75756687",
"0.753293",
"0.75128585",... | 0.0 | -1 |
Inflate the layout for this fragment | @Override
public View onCreateView(LayoutInflater inflater, ViewGroup container,
Bundle savedInstanceState) {
View view = inflater.inflate(R.layout.fragment_results_page, container, false);
//The fragment is open.
is_open = true;
//Add listener to each button
button_save = (Button)view.findViewById(R.id.button_save_results);
button_save.setOnClickListener(new View.OnClickListener() {
public void onClick(View v) {
//Save Results
actionAlert(true, "Save Results", "Would you like to save the test results?");
}
});
button_delete = (Button)view.findViewById(R.id.button_delete_results);
button_delete.setOnClickListener(new View.OnClickListener() {
public void onClick(View v) {
//Delete Results
actionAlert(false,"Delete Results", "This action will delete the test results. Continue?");
}
});
// Inflate the layout for this fragment
return view;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\n public View onCreateView(LayoutInflater inflater, ViewGroup container,\n Bundle savedInstanceState) {\n return inflater.inflate(R.layout.fragment_main_allinfo, container, false);\n }",
"@Override\r\n\tpublic View onCreateView(LayoutInflater inflater, ViewGroup... | [
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"0.6687986",
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"0.6647136",
"0.66423255",
"0.66388357",
"0.6637491",
"0.6634193",
"0.66251... | 0.0 | -1 |
The following functions connect to the Adapter classes to gather data from headset | public void saveResults(){
//Tell adapter to save gathered data
//Call appropriate function
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"private void initializeAdapter() {\n }",
"@Override\n public void prepareHtmlDataList() {\n makeGCDataInfoOutputData();\n makeLaunchDataInfoOutputData();\n }",
"public interface DataSource extends DataSourceBase {\n /***\n * @param authenticationInfo A HashMap of any authenticatio... | [
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"0.5252522",
"0.5252505",
"0.5249518",
"0.52420765",
"0.5240984",
"0.52... | 0.0 | -1 |
Tell adapter to delete gathering data Call appropriate function | public void deleteResults(){
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"void delData();",
"@Override\n\t\t\tpublic void handleDataDeleted(String dataPath) throws Exception {\n\t\t\t\t\n\t\t\t}",
"void onDataCleared();",
"private void askforItemDeletion(int position){\n mySmsMessAdapterCallBack.askforItemDeletion(dataset.get(position),position);\n }",
"public abstract ... | [
"0.7237041",
"0.6636645",
"0.66289765",
"0.65527105",
"0.653159",
"0.64653254",
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"0.6315247",
"0.63128304",
"0.6277346",
"0.6266686",
"0.6241996",
"0.6233636",
"0.6226939... | 0.6258315 | 18 |
Should return content type that is used to override file content type for template data language. It is required for template language injections to override nonbase language content type properly | default IElementType getContentElementType(@Nonnull Language language) {
return null;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"abstract ContentType getContnentType();",
"String getContentType();",
"String getContentType();",
"String getContentType();",
"@Override\n\tpublic String getContentType(String filename) {\n\t\treturn null;\n\t}",
"public String getContenttype() {\n return contenttype;\n }",
"public String get... | [
"0.6933915",
"0.6780197",
"0.6780197",
"0.6780197",
"0.6752425",
"0.6730612",
"0.6730612",
"0.66555786",
"0.66431135",
"0.66431135",
"0.6623261",
"0.6581726",
"0.65699697",
"0.65011126",
"0.64492655",
"0.6441329",
"0.6399282",
"0.6337813",
"0.63199145",
"0.6297835",
"0.629562... | 0.0 | -1 |
Return the total water depth on the Y axis at a specific location. The block passed in parameter must be a water block along the Y axis Return the total water depth on the Y axis at a specific location. The block passed in parameter must be a water block along the Y axis | public static int GetWaterDepth(World aWorld, double xPos, double yPos, double zPos)
{
int _waterDepth = 0;
for(int up = 0;up<=30;up++)
{
try
{
if(aWorld.getBlock((int)xPos, (int)yPos+up, (int)zPos) == Blocks.water)
{
_waterDepth++;
}
}
catch (Exception ex)
{
//Do nothing, it only catches block that are out of range. Those are not water, so they are not added.
}
}
for(int down = -30; down<0; down++)
{
try
{
if(aWorld.getBlock((int)xPos, (int)yPos+down, (int)zPos) == Blocks.water)
{
_waterDepth++;
}
}
catch (Exception ex)
{
//Do nothing, it only catches block that are out of range. Those are not water, so they are not added.
}
}
FantasticDebug.Output("Mesured water depth is: "+Integer.toString(_waterDepth));
return _waterDepth++;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public int getBlockY()\n\t {\n\t\t if(y >= 0.0) return (int)y;\n\t\t return -1 + (int)(y);\n\t }",
"public abstract Integer getStationRainGaugeDepth(int stationId, int datetimeId);",
"int getStrength(IBlockAccess iBlockAccess, BlockPos blockPos);",
"float getDepth();",
"float getDepth();",
"public do... | [
"0.5758294",
"0.56728953",
"0.5546817",
"0.55443794",
"0.55443794",
"0.54768497",
"0.5468899",
"0.5462552",
"0.5432725",
"0.5392275",
"0.5354922",
"0.5315829",
"0.5307356",
"0.5275652",
"0.5268198",
"0.5227373",
"0.52143216",
"0.5184817",
"0.5168935",
"0.5157208",
"0.51479477... | 0.66610664 | 0 |
finds a random target within par1(x,z) and par2 (y) blocks in the direction of the point par3 | public static Vec3 findRandomTargetBlockTowards(EntityCreature aWaterMob, int xzFleeZoneSize, int yFleeZoneSize, Vec3 aTargetVectorPos, int aMinRangeXZ, int aMinDepth)
{
Vec3 _fleeingVector = Vec3.createVectorHelper(aTargetVectorPos.xCoord - aWaterMob.posX,aTargetVectorPos.yCoord - aWaterMob.posY,aTargetVectorPos.zCoord - aWaterMob.posZ);
return findRandomTargetBlock(aWaterMob, xzFleeZoneSize, yFleeZoneSize,_fleeingVector,aMinRangeXZ,aMinDepth);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"Point getRandomPoint() {\n\t\t\t\t\tdouble val = Math.random() * 3;\n\t\t\t\t\tif (val >=0.0 && val <1.0)\n\t\t\t\t\t\treturn p1;\n\t\t\t\t\telse if (val >=1.0 && val <2.0)\n\t\t\t\t\t\t\treturn p2;\n\t\t\t\t\telse\n\t\t\t\t\t\t\treturn p3;\n\t\t\t\t\t}",
"private Vector3 randomLocationDolphin() {\n\t\tVector3 c... | [
"0.6533194",
"0.56800735",
"0.5624581",
"0.55869186",
"0.5585193",
"0.55059713",
"0.55022484",
"0.5490506",
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"0.54541874",
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"0.53806466",
"0.53699046",
"0.53469855",
"0.5345805",
"0.53452694",
"0.5318833",
"0.529... | 0.6389074 | 1 |
TODO Autogenerated method stub | @Override
public void onReceive(Context context, Intent intent)
{
Log.e("m", "com.airtalkee.receiver onReceive");
if (intent.getAction().equals(ACTION_VOICE_LONG_PRESS))
{
if (intentFilter == null)
intentFilter = new IntentFilter();
intentFilter.addAction(Intent.ACTION_BATTERY_CHANGED);
context.registerReceiver(instance, intentFilter);
}
else if (intent.getAction().equals(ACTION_VOICE_UP))
{
}
else if (intent.getAction().equals(ACTION_KNOB_ADD))
{
AirSessionControl.getInstance().channelSelect(true);
}
else if (intent.getAction().equals(ACTION_KNOB_SUB))
{
AirSessionControl.getInstance().channelSelect(false);
}
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\r\n\tpublic void comer() \r\n\t{\n\t\t\r\n\t}",
"@Override\n\tpublic void comer() {\n\t\t\n\t}",
"@Override\n public void perish() {\n \n }",
"@Override\r\n\t\t\tpublic void annadir() {\n\r\n\t\t\t}",
"@Override\n\tpublic void anular() {\n\n\t}",
"@Override\n\tprotected void getExr... | [
"0.6671074",
"0.6567672",
"0.6523024",
"0.6481211",
"0.6477082",
"0.64591026",
"0.64127725",
"0.63762105",
"0.6276059",
"0.6254286",
"0.623686",
"0.6223679",
"0.6201336",
"0.61950207",
"0.61950207",
"0.61922914",
"0.6186996",
"0.6173591",
"0.61327106",
"0.61285484",
"0.608016... | 0.0 | -1 |
Initializes an instance of ImageModerationsInner. | public ImageModerationsInner(Retrofit retrofit, ContentModeratorClientImpl client) {
this.service = retrofit.create(ImageModerationsService.class);
this.client = client;
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"@Override\r\n\tpublic void init() {\n\t\timg = new ImageClass();\r\n\t\timg.Init(imgPath);\r\n\t}",
"private Images() {}",
"public ImageSection() { // required by the SessionLoader (should not be used elsewhere)\n hasImage = new HasImage();\n }",
"protected Builder() {\n super(new ImageS... | [
"0.56409055",
"0.56140316",
"0.5610598",
"0.55673265",
"0.5555221",
"0.5447363",
"0.54428697",
"0.5439326",
"0.5344965",
"0.53212875",
"0.5320531",
"0.52985114",
"0.52616525",
"0.52616525",
"0.52477294",
"0.52003145",
"0.51869893",
"0.51845366",
"0.5176761",
"0.5175184",
"0.5... | 0.62965137 | 0 |
The interface defining all the services for ImageModerations to be used by Retrofit to perform actually REST calls. | interface ImageModerationsService {
@Headers({ "Content-Type: application/json; charset=utf-8", "x-ms-logging-context: com.microsoft.azure.cognitiveservices.contentmoderator.ImageModerations findFaces" })
@POST("contentmoderator/moderate/v1.0/ProcessImage/FindFaces")
Observable<Response<ResponseBody>> findFaces(@Query("CacheImage") Boolean cacheImage, @Header("accept-language") String acceptLanguage, @Header("x-ms-parameterized-host") String parameterizedHost, @Header("User-Agent") String userAgent);
@Headers({ "Content-Type: application/json; charset=utf-8", "x-ms-logging-context: com.microsoft.azure.cognitiveservices.contentmoderator.ImageModerations oCRMethod" })
@POST("contentmoderator/moderate/v1.0/ProcessImage/OCR")
Observable<Response<ResponseBody>> oCRMethod(@Query("language") String language, @Query("CacheImage") Boolean cacheImage, @Query("enhanced") Boolean enhanced, @Header("accept-language") String acceptLanguage, @Header("x-ms-parameterized-host") String parameterizedHost, @Header("User-Agent") String userAgent);
@Headers({ "Content-Type: application/json; charset=utf-8", "x-ms-logging-context: com.microsoft.azure.cognitiveservices.contentmoderator.ImageModerations evaluateMethod" })
@POST("contentmoderator/moderate/v1.0/ProcessImage/Evaluate")
Observable<Response<ResponseBody>> evaluateMethod(@Query("CacheImage") Boolean cacheImage, @Header("accept-language") String acceptLanguage, @Header("x-ms-parameterized-host") String parameterizedHost, @Header("User-Agent") String userAgent);
@Headers({ "Content-Type: application/json; charset=utf-8", "x-ms-logging-context: com.microsoft.azure.cognitiveservices.contentmoderator.ImageModerations matchMethod" })
@POST("contentmoderator/moderate/v1.0/ProcessImage/Match")
Observable<Response<ResponseBody>> matchMethod(@Query("listId") String listId, @Query("CacheImage") Boolean cacheImage, @Header("accept-language") String acceptLanguage, @Header("x-ms-parameterized-host") String parameterizedHost, @Header("User-Agent") String userAgent);
@Headers({ "Content-Type: image/gif", "x-ms-logging-context: com.microsoft.azure.cognitiveservices.contentmoderator.ImageModerations findFacesFileInput" })
@POST("contentmoderator/moderate/v1.0/ProcessImage/FindFaces")
Observable<Response<ResponseBody>> findFacesFileInput(@Query("CacheImage") Boolean cacheImage, @Body RequestBody imageStream, @Header("accept-language") String acceptLanguage, @Header("x-ms-parameterized-host") String parameterizedHost, @Header("User-Agent") String userAgent);
@Headers({ "Content-Type: application/json; charset=utf-8", "x-ms-logging-context: com.microsoft.azure.cognitiveservices.contentmoderator.ImageModerations findFacesUrlInput" })
@POST("contentmoderator/moderate/v1.0/ProcessImage/FindFaces")
Observable<Response<ResponseBody>> findFacesUrlInput(@Query("CacheImage") Boolean cacheImage, @Header("Content-Type") String contentType, @Body BodyModelInner imageUrl, @Header("accept-language") String acceptLanguage, @Header("x-ms-parameterized-host") String parameterizedHost, @Header("User-Agent") String userAgent);
@Headers({ "Content-Type: application/json; charset=utf-8", "x-ms-logging-context: com.microsoft.azure.cognitiveservices.contentmoderator.ImageModerations oCRUrlInput" })
@POST("contentmoderator/moderate/v1.0/ProcessImage/OCR")
Observable<Response<ResponseBody>> oCRUrlInput(@Query("language") String language, @Query("CacheImage") Boolean cacheImage, @Query("enhanced") Boolean enhanced, @Header("Content-Type") String contentType, @Body BodyModelInner imageUrl, @Header("accept-language") String acceptLanguage, @Header("x-ms-parameterized-host") String parameterizedHost, @Header("User-Agent") String userAgent);
@Headers({ "Content-Type: image/gif", "x-ms-logging-context: com.microsoft.azure.cognitiveservices.contentmoderator.ImageModerations oCRFileInput" })
@POST("contentmoderator/moderate/v1.0/ProcessImage/OCR")
Observable<Response<ResponseBody>> oCRFileInput(@Query("language") String language, @Query("CacheImage") Boolean cacheImage, @Query("enhanced") Boolean enhanced, @Body RequestBody imageStream, @Header("accept-language") String acceptLanguage, @Header("x-ms-parameterized-host") String parameterizedHost, @Header("User-Agent") String userAgent);
@Headers({ "Content-Type: image/gif", "x-ms-logging-context: com.microsoft.azure.cognitiveservices.contentmoderator.ImageModerations evaluateFileInput" })
@POST("contentmoderator/moderate/v1.0/ProcessImage/Evaluate")
Observable<Response<ResponseBody>> evaluateFileInput(@Query("CacheImage") Boolean cacheImage, @Body RequestBody imageStream, @Header("accept-language") String acceptLanguage, @Header("x-ms-parameterized-host") String parameterizedHost, @Header("User-Agent") String userAgent);
@Headers({ "Content-Type: application/json; charset=utf-8", "x-ms-logging-context: com.microsoft.azure.cognitiveservices.contentmoderator.ImageModerations evaluateUrlInput" })
@POST("contentmoderator/moderate/v1.0/ProcessImage/Evaluate")
Observable<Response<ResponseBody>> evaluateUrlInput(@Query("CacheImage") Boolean cacheImage, @Header("Content-Type") String contentType, @Body BodyModelInner imageUrl, @Header("accept-language") String acceptLanguage, @Header("x-ms-parameterized-host") String parameterizedHost, @Header("User-Agent") String userAgent);
@Headers({ "Content-Type: application/json; charset=utf-8", "x-ms-logging-context: com.microsoft.azure.cognitiveservices.contentmoderator.ImageModerations matchUrlInput" })
@POST("contentmoderator/moderate/v1.0/ProcessImage/Match")
Observable<Response<ResponseBody>> matchUrlInput(@Query("listId") String listId, @Query("CacheImage") Boolean cacheImage, @Header("Content-Type") String contentType, @Body BodyModelInner imageUrl, @Header("accept-language") String acceptLanguage, @Header("x-ms-parameterized-host") String parameterizedHost, @Header("User-Agent") String userAgent);
@Headers({ "Content-Type: image/gif", "x-ms-logging-context: com.microsoft.azure.cognitiveservices.contentmoderator.ImageModerations matchFileInput" })
@POST("contentmoderator/moderate/v1.0/ProcessImage/Match")
Observable<Response<ResponseBody>> matchFileInput(@Query("listId") String listId, @Query("CacheImage") Boolean cacheImage, @Body RequestBody imageStream, @Header("accept-language") String acceptLanguage, @Header("x-ms-parameterized-host") String parameterizedHost, @Header("User-Agent") String userAgent);
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public ImageModerationsInner(Retrofit retrofit, ContentModeratorClientImpl client) {\n this.service = retrofit.create(ImageModerationsService.class);\n this.client = client;\n }",
"public interface ImageMetadataService {\n\n List<ArtistDTO> getArtistsByPrediction(String name, String name2, St... | [
"0.68129456",
"0.6691733",
"0.63974077",
"0.63843685",
"0.63075066",
"0.6301345",
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"0.62183326",
"0.61795515",
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"0.6108849",
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"0.60511506",
"0.60427874",
"0.60131705",
"0.5999861",
"0.59773374",
"0... | 0.72850233 | 0 |
Returns the list of faces found. | public Observable<FoundFacesInner> findFacesAsync() {
return findFacesWithServiceResponseAsync().map(new Func1<ServiceResponse<FoundFacesInner>, FoundFacesInner>() {
@Override
public FoundFacesInner call(ServiceResponse<FoundFacesInner> response) {
return response.body();
}
});
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public Face[] getFaces() {\n return faces;\n }",
"static FaceSegment[] allFaces() {\n FaceSegment[] faces = new FaceSegment[6];\n for (int i = 0; i < faces.length; i++) {\n faces[i] = new FaceSegment();\n }\n return faces;\n }",
"public int[][] getFaces() {\n\t\treturn t... | [
"0.7671218",
"0.74343956",
"0.71101314",
"0.691482",
"0.69146",
"0.62822634",
"0.6183204",
"0.6173539",
"0.59023684",
"0.5782556",
"0.5730131",
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"0.5493492",
"0.54722375",
"0.5456128",
"0.5450902",
"0.544514",
"0.54380745",
... | 0.6271086 | 6 |
Returns the list of faces found. | public Observable<ServiceResponse<FoundFacesInner>> findFacesWithServiceResponseAsync() {
if (this.client.baseUrl() == null) {
throw new IllegalArgumentException("Parameter this.client.baseUrl() is required and cannot be null.");
}
final Boolean cacheImage = null;
String parameterizedHost = Joiner.on(", ").join("{baseUrl}", this.client.baseUrl());
return service.findFaces(cacheImage, this.client.acceptLanguage(), parameterizedHost, this.client.userAgent())
.flatMap(new Func1<Response<ResponseBody>, Observable<ServiceResponse<FoundFacesInner>>>() {
@Override
public Observable<ServiceResponse<FoundFacesInner>> call(Response<ResponseBody> response) {
try {
ServiceResponse<FoundFacesInner> clientResponse = findFacesDelegate(response);
return Observable.just(clientResponse);
} catch (Throwable t) {
return Observable.error(t);
}
}
});
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public Face[] getFaces() {\n return faces;\n }",
"static FaceSegment[] allFaces() {\n FaceSegment[] faces = new FaceSegment[6];\n for (int i = 0; i < faces.length; i++) {\n faces[i] = new FaceSegment();\n }\n return faces;\n }",
"public int[][] getFaces() {\n\t\treturn t... | [
"0.7671218",
"0.74343956",
"0.71101314",
"0.691482",
"0.69146",
"0.62822634",
"0.6271086",
"0.6183204",
"0.59023684",
"0.5782556",
"0.5730131",
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"0.5493492",
"0.54722375",
"0.5456128",
"0.5450902",
"0.544514",
"0.54380745",
... | 0.6173539 | 8 |
Returns the list of faces found. | public Observable<FoundFacesInner> findFacesAsync(Boolean cacheImage) {
return findFacesWithServiceResponseAsync(cacheImage).map(new Func1<ServiceResponse<FoundFacesInner>, FoundFacesInner>() {
@Override
public FoundFacesInner call(ServiceResponse<FoundFacesInner> response) {
return response.body();
}
});
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public Face[] getFaces() {\n return faces;\n }",
"static FaceSegment[] allFaces() {\n FaceSegment[] faces = new FaceSegment[6];\n for (int i = 0; i < faces.length; i++) {\n faces[i] = new FaceSegment();\n }\n return faces;\n }",
"public int[][] getFaces() {\n\t\treturn t... | [
"0.7671269",
"0.74346423",
"0.7110249",
"0.69152063",
"0.6914806",
"0.6282762",
"0.6270876",
"0.6183134",
"0.6173269",
"0.59021",
"0.57824975",
"0.573041",
"0.56643003",
"0.564971",
"0.5503765",
"0.5503765",
"0.5493121",
"0.5472918",
"0.54561985",
"0.54503137",
"0.5445359",
... | 0.523216 | 37 |
Returns the list of faces found. | public Observable<ServiceResponse<FoundFacesInner>> findFacesWithServiceResponseAsync(Boolean cacheImage) {
if (this.client.baseUrl() == null) {
throw new IllegalArgumentException("Parameter this.client.baseUrl() is required and cannot be null.");
}
String parameterizedHost = Joiner.on(", ").join("{baseUrl}", this.client.baseUrl());
return service.findFaces(cacheImage, this.client.acceptLanguage(), parameterizedHost, this.client.userAgent())
.flatMap(new Func1<Response<ResponseBody>, Observable<ServiceResponse<FoundFacesInner>>>() {
@Override
public Observable<ServiceResponse<FoundFacesInner>> call(Response<ResponseBody> response) {
try {
ServiceResponse<FoundFacesInner> clientResponse = findFacesDelegate(response);
return Observable.just(clientResponse);
} catch (Throwable t) {
return Observable.error(t);
}
}
});
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public Face[] getFaces() {\n return faces;\n }",
"static FaceSegment[] allFaces() {\n FaceSegment[] faces = new FaceSegment[6];\n for (int i = 0; i < faces.length; i++) {\n faces[i] = new FaceSegment();\n }\n return faces;\n }",
"public int[][] getFaces() {\n\t\treturn t... | [
"0.7671269",
"0.74346423",
"0.7110249",
"0.69152063",
"0.6914806",
"0.6282762",
"0.6270876",
"0.6183134",
"0.6173269",
"0.59021",
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"0.573041",
"0.56643003",
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"0.5503765",
"0.5493121",
"0.5472918",
"0.54561985",
"0.54503137",
"0.5445359",
... | 0.50187486 | 53 |
Returns any text found in the image for the language specified. If no language is specified in input then the detection defaults to English. | public Observable<OCRInner> oCRMethodAsync(String language) {
return oCRMethodWithServiceResponseAsync(language).map(new Func1<ServiceResponse<OCRInner>, OCRInner>() {
@Override
public OCRInner call(ServiceResponse<OCRInner> response) {
return response.body();
}
});
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public String detectLanguage(String text) {\n\t\treturn dictionary.detectLanguage(text);\n\t}",
"public boolean translateImageToText();",
"@SuppressWarnings(\"static-access\")\n\tpublic void detection(Request text) {\n\t\t//Fichiertxt fichier;\n\t\ttry {\t\t\t\t\t\n\t\t\t//enregistrement et affichage de la lan... | [
"0.6339322",
"0.5907689",
"0.5881454",
"0.5613236",
"0.5499387",
"0.5476547",
"0.54720753",
"0.54378355",
"0.54378355",
"0.54230297",
"0.54117554",
"0.5398961",
"0.5386767",
"0.5368199",
"0.5356364",
"0.5356364",
"0.5356364",
"0.5355748",
"0.53044903",
"0.52970636",
"0.525971... | 0.0 | -1 |
Returns any text found in the image for the language specified. If no language is specified in input then the detection defaults to English. | public Observable<ServiceResponse<OCRInner>> oCRMethodWithServiceResponseAsync(String language) {
if (this.client.baseUrl() == null) {
throw new IllegalArgumentException("Parameter this.client.baseUrl() is required and cannot be null.");
}
if (language == null) {
throw new IllegalArgumentException("Parameter language is required and cannot be null.");
}
final Boolean cacheImage = null;
final Boolean enhanced = null;
String parameterizedHost = Joiner.on(", ").join("{baseUrl}", this.client.baseUrl());
return service.oCRMethod(language, cacheImage, enhanced, this.client.acceptLanguage(), parameterizedHost, this.client.userAgent())
.flatMap(new Func1<Response<ResponseBody>, Observable<ServiceResponse<OCRInner>>>() {
@Override
public Observable<ServiceResponse<OCRInner>> call(Response<ResponseBody> response) {
try {
ServiceResponse<OCRInner> clientResponse = oCRMethodDelegate(response);
return Observable.just(clientResponse);
} catch (Throwable t) {
return Observable.error(t);
}
}
});
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public String detectLanguage(String text) {\n\t\treturn dictionary.detectLanguage(text);\n\t}",
"public boolean translateImageToText();",
"@SuppressWarnings(\"static-access\")\n\tpublic void detection(Request text) {\n\t\t//Fichiertxt fichier;\n\t\ttry {\t\t\t\t\t\n\t\t\t//enregistrement et affichage de la lan... | [
"0.6340801",
"0.5908911",
"0.58815557",
"0.56125695",
"0.54998386",
"0.5477398",
"0.5472436",
"0.54383487",
"0.54383487",
"0.54241633",
"0.5411288",
"0.5399041",
"0.53873235",
"0.5367456",
"0.53567713",
"0.53567713",
"0.53567713",
"0.5354653",
"0.5304111",
"0.5296139",
"0.526... | 0.0 | -1 |
Returns any text found in the image for the language specified. If no language is specified in input then the detection defaults to English. | public Observable<OCRInner> oCRMethodAsync(String language, Boolean cacheImage, Boolean enhanced) {
return oCRMethodWithServiceResponseAsync(language, cacheImage, enhanced).map(new Func1<ServiceResponse<OCRInner>, OCRInner>() {
@Override
public OCRInner call(ServiceResponse<OCRInner> response) {
return response.body();
}
});
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public String detectLanguage(String text) {\n\t\treturn dictionary.detectLanguage(text);\n\t}",
"public boolean translateImageToText();",
"@SuppressWarnings(\"static-access\")\n\tpublic void detection(Request text) {\n\t\t//Fichiertxt fichier;\n\t\ttry {\t\t\t\t\t\n\t\t\t//enregistrement et affichage de la lan... | [
"0.6340444",
"0.5907014",
"0.5881825",
"0.5613604",
"0.5501345",
"0.5476807",
"0.54720134",
"0.5439289",
"0.5439289",
"0.5422724",
"0.5412727",
"0.5398816",
"0.53872037",
"0.53670835",
"0.5357576",
"0.5357576",
"0.5357576",
"0.5356866",
"0.53034747",
"0.5297329",
"0.5260379",... | 0.0 | -1 |
Returns any text found in the image for the language specified. If no language is specified in input then the detection defaults to English. | public Observable<ServiceResponse<OCRInner>> oCRMethodWithServiceResponseAsync(String language, Boolean cacheImage, Boolean enhanced) {
if (this.client.baseUrl() == null) {
throw new IllegalArgumentException("Parameter this.client.baseUrl() is required and cannot be null.");
}
if (language == null) {
throw new IllegalArgumentException("Parameter language is required and cannot be null.");
}
String parameterizedHost = Joiner.on(", ").join("{baseUrl}", this.client.baseUrl());
return service.oCRMethod(language, cacheImage, enhanced, this.client.acceptLanguage(), parameterizedHost, this.client.userAgent())
.flatMap(new Func1<Response<ResponseBody>, Observable<ServiceResponse<OCRInner>>>() {
@Override
public Observable<ServiceResponse<OCRInner>> call(Response<ResponseBody> response) {
try {
ServiceResponse<OCRInner> clientResponse = oCRMethodDelegate(response);
return Observable.just(clientResponse);
} catch (Throwable t) {
return Observable.error(t);
}
}
});
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public String detectLanguage(String text) {\n\t\treturn dictionary.detectLanguage(text);\n\t}",
"public boolean translateImageToText();",
"@SuppressWarnings(\"static-access\")\n\tpublic void detection(Request text) {\n\t\t//Fichiertxt fichier;\n\t\ttry {\t\t\t\t\t\n\t\t\t//enregistrement et affichage de la lan... | [
"0.6340444",
"0.5907014",
"0.5881825",
"0.5613604",
"0.5501345",
"0.5476807",
"0.54720134",
"0.5439289",
"0.5439289",
"0.5422724",
"0.5412727",
"0.5398816",
"0.53872037",
"0.53670835",
"0.5357576",
"0.5357576",
"0.5357576",
"0.5356866",
"0.53034747",
"0.5297329",
"0.5260379",... | 0.0 | -1 |
Returns probabilities of the image containing racy or adult content. | public Observable<EvaluateInner> evaluateMethodAsync() {
return evaluateMethodWithServiceResponseAsync().map(new Func1<ServiceResponse<EvaluateInner>, EvaluateInner>() {
@Override
public EvaluateInner call(ServiceResponse<EvaluateInner> response) {
return response.body();
}
});
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void calculateProbabilities(){\n\t}",
"private void evaluateProbabilities()\n\t{\n\t}",
"public double[] getProbabilities() { return getProbabilities((int[])null); }",
"public double getProbability() {\n return probability;\n }",
"POGOProtos.Rpc.CaptureProbabilityProto getCaptureProbabilit... | [
"0.5792197",
"0.57066816",
"0.5635645",
"0.5572759",
"0.5562452",
"0.55257493",
"0.53212327",
"0.5280099",
"0.5259797",
"0.5242405",
"0.5241776",
"0.52029526",
"0.5099709",
"0.50816107",
"0.5081152",
"0.50460213",
"0.5026333",
"0.50131893",
"0.49973923",
"0.49362656",
"0.4927... | 0.0 | -1 |
Returns probabilities of the image containing racy or adult content. | public Observable<ServiceResponse<EvaluateInner>> evaluateMethodWithServiceResponseAsync() {
if (this.client.baseUrl() == null) {
throw new IllegalArgumentException("Parameter this.client.baseUrl() is required and cannot be null.");
}
final Boolean cacheImage = null;
String parameterizedHost = Joiner.on(", ").join("{baseUrl}", this.client.baseUrl());
return service.evaluateMethod(cacheImage, this.client.acceptLanguage(), parameterizedHost, this.client.userAgent())
.flatMap(new Func1<Response<ResponseBody>, Observable<ServiceResponse<EvaluateInner>>>() {
@Override
public Observable<ServiceResponse<EvaluateInner>> call(Response<ResponseBody> response) {
try {
ServiceResponse<EvaluateInner> clientResponse = evaluateMethodDelegate(response);
return Observable.just(clientResponse);
} catch (Throwable t) {
return Observable.error(t);
}
}
});
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void calculateProbabilities(){\n\t}",
"private void evaluateProbabilities()\n\t{\n\t}",
"public double[] getProbabilities() { return getProbabilities((int[])null); }",
"public double getProbability() {\n return probability;\n }",
"POGOProtos.Rpc.CaptureProbabilityProto getCaptureProbabilit... | [
"0.5786381",
"0.57027304",
"0.5630279",
"0.5566898",
"0.55602795",
"0.5521205",
"0.53160524",
"0.527399",
"0.52547306",
"0.5238439",
"0.52371645",
"0.5200319",
"0.50942767",
"0.5080741",
"0.5075284",
"0.5040735",
"0.5020369",
"0.5010527",
"0.4992298",
"0.49309567",
"0.4923097... | 0.0 | -1 |
Returns probabilities of the image containing racy or adult content. | public Observable<EvaluateInner> evaluateMethodAsync(Boolean cacheImage) {
return evaluateMethodWithServiceResponseAsync(cacheImage).map(new Func1<ServiceResponse<EvaluateInner>, EvaluateInner>() {
@Override
public EvaluateInner call(ServiceResponse<EvaluateInner> response) {
return response.body();
}
});
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void calculateProbabilities(){\n\t}",
"private void evaluateProbabilities()\n\t{\n\t}",
"public double[] getProbabilities() { return getProbabilities((int[])null); }",
"public double getProbability() {\n return probability;\n }",
"POGOProtos.Rpc.CaptureProbabilityProto getCaptureProbabilit... | [
"0.57850313",
"0.57010126",
"0.56290585",
"0.5565697",
"0.5559708",
"0.5519075",
"0.5316536",
"0.52727836",
"0.52534455",
"0.5236468",
"0.5236261",
"0.5198736",
"0.5091604",
"0.50812334",
"0.507524",
"0.50379896",
"0.501882",
"0.50101876",
"0.4990364",
"0.49297088",
"0.492034... | 0.0 | -1 |
Returns probabilities of the image containing racy or adult content. | public Observable<ServiceResponse<EvaluateInner>> evaluateMethodWithServiceResponseAsync(Boolean cacheImage) {
if (this.client.baseUrl() == null) {
throw new IllegalArgumentException("Parameter this.client.baseUrl() is required and cannot be null.");
}
String parameterizedHost = Joiner.on(", ").join("{baseUrl}", this.client.baseUrl());
return service.evaluateMethod(cacheImage, this.client.acceptLanguage(), parameterizedHost, this.client.userAgent())
.flatMap(new Func1<Response<ResponseBody>, Observable<ServiceResponse<EvaluateInner>>>() {
@Override
public Observable<ServiceResponse<EvaluateInner>> call(Response<ResponseBody> response) {
try {
ServiceResponse<EvaluateInner> clientResponse = evaluateMethodDelegate(response);
return Observable.just(clientResponse);
} catch (Throwable t) {
return Observable.error(t);
}
}
});
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public void calculateProbabilities(){\n\t}",
"private void evaluateProbabilities()\n\t{\n\t}",
"public double[] getProbabilities() { return getProbabilities((int[])null); }",
"public double getProbability() {\n return probability;\n }",
"POGOProtos.Rpc.CaptureProbabilityProto getCaptureProbabilit... | [
"0.57850313",
"0.57010126",
"0.56290585",
"0.5565697",
"0.5559708",
"0.5519075",
"0.5316536",
"0.52727836",
"0.52534455",
"0.5236468",
"0.5236261",
"0.5198736",
"0.5091604",
"0.50812334",
"0.507524",
"0.50379896",
"0.501882",
"0.50101876",
"0.4990364",
"0.49297088",
"0.492034... | 0.0 | -1 |
Fuzzily match an image against one of your custom Image Lists. You can create and manage your custom image lists using this API. Returns ID and tags of matching image. Note: Refresh Index must be run on the corresponding Image List before additions and removals are reflected in the response. | public Observable<MatchResponseInner> matchMethodAsync() {
return matchMethodWithServiceResponseAsync().map(new Func1<ServiceResponse<MatchResponseInner>, MatchResponseInner>() {
@Override
public MatchResponseInner call(ServiceResponse<MatchResponseInner> response) {
return response.body();
}
});
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"int match(ArrayList<ImageCell> images);",
"ImageSearchResponse findAllBySimilarImage(byte[] imageData, ImageRegion objectRegion);",
"private void searchImage(String text){\n\n // Set toolbar title as query string\n toolbar.setTitle(text);\n\n Map<String, String> options = setSearchOptions(... | [
"0.6268177",
"0.5889108",
"0.57670414",
"0.57589924",
"0.57436514",
"0.5731581",
"0.5511194",
"0.5501659",
"0.550006",
"0.5452095",
"0.53226525",
"0.525605",
"0.5253426",
"0.5196022",
"0.51808035",
"0.5179484",
"0.516819",
"0.5141495",
"0.51305956",
"0.51303494",
"0.512022",
... | 0.0 | -1 |
Fuzzily match an image against one of your custom Image Lists. You can create and manage your custom image lists using this API. Returns ID and tags of matching image. Note: Refresh Index must be run on the corresponding Image List before additions and removals are reflected in the response. | public Observable<ServiceResponse<MatchResponseInner>> matchMethodWithServiceResponseAsync() {
if (this.client.baseUrl() == null) {
throw new IllegalArgumentException("Parameter this.client.baseUrl() is required and cannot be null.");
}
final String listId = null;
final Boolean cacheImage = null;
String parameterizedHost = Joiner.on(", ").join("{baseUrl}", this.client.baseUrl());
return service.matchMethod(listId, cacheImage, this.client.acceptLanguage(), parameterizedHost, this.client.userAgent())
.flatMap(new Func1<Response<ResponseBody>, Observable<ServiceResponse<MatchResponseInner>>>() {
@Override
public Observable<ServiceResponse<MatchResponseInner>> call(Response<ResponseBody> response) {
try {
ServiceResponse<MatchResponseInner> clientResponse = matchMethodDelegate(response);
return Observable.just(clientResponse);
} catch (Throwable t) {
return Observable.error(t);
}
}
});
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"int match(ArrayList<ImageCell> images);",
"ImageSearchResponse findAllBySimilarImage(byte[] imageData, ImageRegion objectRegion);",
"private void searchImage(String text){\n\n // Set toolbar title as query string\n toolbar.setTitle(text);\n\n Map<String, String> options = setSearchOptions(... | [
"0.6268827",
"0.58894795",
"0.57677805",
"0.57601416",
"0.5745048",
"0.57317436",
"0.55123144",
"0.5503459",
"0.55010366",
"0.54535496",
"0.53231597",
"0.52577794",
"0.5252809",
"0.5197598",
"0.51810634",
"0.5180938",
"0.5170541",
"0.5143361",
"0.5132484",
"0.51319265",
"0.51... | 0.0 | -1 |
Fuzzily match an image against one of your custom Image Lists. You can create and manage your custom image lists using this API. Returns ID and tags of matching image. Note: Refresh Index must be run on the corresponding Image List before additions and removals are reflected in the response. | public Observable<MatchResponseInner> matchMethodAsync(String listId, Boolean cacheImage) {
return matchMethodWithServiceResponseAsync(listId, cacheImage).map(new Func1<ServiceResponse<MatchResponseInner>, MatchResponseInner>() {
@Override
public MatchResponseInner call(ServiceResponse<MatchResponseInner> response) {
return response.body();
}
});
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"int match(ArrayList<ImageCell> images);",
"ImageSearchResponse findAllBySimilarImage(byte[] imageData, ImageRegion objectRegion);",
"private void searchImage(String text){\n\n // Set toolbar title as query string\n toolbar.setTitle(text);\n\n Map<String, String> options = setSearchOptions(... | [
"0.62700015",
"0.58897376",
"0.5767267",
"0.5759937",
"0.5743681",
"0.57321453",
"0.55112725",
"0.5501859",
"0.5500844",
"0.54522055",
"0.5323158",
"0.5255359",
"0.52542335",
"0.5196973",
"0.51814985",
"0.5180431",
"0.516952",
"0.5143571",
"0.5131655",
"0.5131056",
"0.5122202... | 0.46642357 | 82 |
Fuzzily match an image against one of your custom Image Lists. You can create and manage your custom image lists using this API. Returns ID and tags of matching image. Note: Refresh Index must be run on the corresponding Image List before additions and removals are reflected in the response. | public Observable<ServiceResponse<MatchResponseInner>> matchMethodWithServiceResponseAsync(String listId, Boolean cacheImage) {
if (this.client.baseUrl() == null) {
throw new IllegalArgumentException("Parameter this.client.baseUrl() is required and cannot be null.");
}
String parameterizedHost = Joiner.on(", ").join("{baseUrl}", this.client.baseUrl());
return service.matchMethod(listId, cacheImage, this.client.acceptLanguage(), parameterizedHost, this.client.userAgent())
.flatMap(new Func1<Response<ResponseBody>, Observable<ServiceResponse<MatchResponseInner>>>() {
@Override
public Observable<ServiceResponse<MatchResponseInner>> call(Response<ResponseBody> response) {
try {
ServiceResponse<MatchResponseInner> clientResponse = matchMethodDelegate(response);
return Observable.just(clientResponse);
} catch (Throwable t) {
return Observable.error(t);
}
}
});
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"int match(ArrayList<ImageCell> images);",
"ImageSearchResponse findAllBySimilarImage(byte[] imageData, ImageRegion objectRegion);",
"private void searchImage(String text){\n\n // Set toolbar title as query string\n toolbar.setTitle(text);\n\n Map<String, String> options = setSearchOptions(... | [
"0.6269358",
"0.58894175",
"0.5767823",
"0.57581866",
"0.5743656",
"0.57329696",
"0.5511878",
"0.55023944",
"0.5499341",
"0.54513913",
"0.53242004",
"0.52565765",
"0.5252096",
"0.51959515",
"0.51806694",
"0.5179676",
"0.516937",
"0.51420456",
"0.51307625",
"0.5130238",
"0.512... | 0.49092928 | 39 |
Returns the list of faces found. | public Observable<FoundFacesInner> findFacesFileInputAsync(byte[] imageStream) {
return findFacesFileInputWithServiceResponseAsync(imageStream).map(new Func1<ServiceResponse<FoundFacesInner>, FoundFacesInner>() {
@Override
public FoundFacesInner call(ServiceResponse<FoundFacesInner> response) {
return response.body();
}
});
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public Face[] getFaces() {\n return faces;\n }",
"static FaceSegment[] allFaces() {\n FaceSegment[] faces = new FaceSegment[6];\n for (int i = 0; i < faces.length; i++) {\n faces[i] = new FaceSegment();\n }\n return faces;\n }",
"public int[][] getFaces() {\n\t\treturn t... | [
"0.7671218",
"0.74343956",
"0.71101314",
"0.691482",
"0.69146",
"0.62822634",
"0.6271086",
"0.6183204",
"0.6173539",
"0.59023684",
"0.5782556",
"0.5730131",
"0.5664912",
"0.56492686",
"0.5503748",
"0.5503748",
"0.5493492",
"0.54722375",
"0.5456128",
"0.5450902",
"0.544514",
... | 0.0 | -1 |
Returns the list of faces found. | public Observable<ServiceResponse<FoundFacesInner>> findFacesFileInputWithServiceResponseAsync(byte[] imageStream) {
if (this.client.baseUrl() == null) {
throw new IllegalArgumentException("Parameter this.client.baseUrl() is required and cannot be null.");
}
if (imageStream == null) {
throw new IllegalArgumentException("Parameter imageStream is required and cannot be null.");
}
final Boolean cacheImage = null;
String parameterizedHost = Joiner.on(", ").join("{baseUrl}", this.client.baseUrl());
RequestBody imageStreamConverted = RequestBody.create(MediaType.parse("image/gif"), imageStream);
return service.findFacesFileInput(cacheImage, imageStreamConverted, this.client.acceptLanguage(), parameterizedHost, this.client.userAgent())
.flatMap(new Func1<Response<ResponseBody>, Observable<ServiceResponse<FoundFacesInner>>>() {
@Override
public Observable<ServiceResponse<FoundFacesInner>> call(Response<ResponseBody> response) {
try {
ServiceResponse<FoundFacesInner> clientResponse = findFacesFileInputDelegate(response);
return Observable.just(clientResponse);
} catch (Throwable t) {
return Observable.error(t);
}
}
});
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public Face[] getFaces() {\n return faces;\n }",
"static FaceSegment[] allFaces() {\n FaceSegment[] faces = new FaceSegment[6];\n for (int i = 0; i < faces.length; i++) {\n faces[i] = new FaceSegment();\n }\n return faces;\n }",
"public int[][] getFaces() {\n\t\treturn t... | [
"0.7671218",
"0.74343956",
"0.71101314",
"0.691482",
"0.69146",
"0.62822634",
"0.6271086",
"0.6183204",
"0.6173539",
"0.59023684",
"0.5782556",
"0.5730131",
"0.5664912",
"0.56492686",
"0.5503748",
"0.5503748",
"0.5493492",
"0.54722375",
"0.5456128",
"0.5450902",
"0.544514",
... | 0.0 | -1 |
Returns the list of faces found. | public Observable<FoundFacesInner> findFacesFileInputAsync(byte[] imageStream, Boolean cacheImage) {
return findFacesFileInputWithServiceResponseAsync(imageStream, cacheImage).map(new Func1<ServiceResponse<FoundFacesInner>, FoundFacesInner>() {
@Override
public FoundFacesInner call(ServiceResponse<FoundFacesInner> response) {
return response.body();
}
});
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public Face[] getFaces() {\n return faces;\n }",
"static FaceSegment[] allFaces() {\n FaceSegment[] faces = new FaceSegment[6];\n for (int i = 0; i < faces.length; i++) {\n faces[i] = new FaceSegment();\n }\n return faces;\n }",
"public int[][] getFaces() {\n\t\treturn t... | [
"0.7671269",
"0.74346423",
"0.7110249",
"0.69152063",
"0.6914806",
"0.6282762",
"0.6270876",
"0.6183134",
"0.6173269",
"0.59021",
"0.57824975",
"0.573041",
"0.56643003",
"0.564971",
"0.5503765",
"0.5503765",
"0.5493121",
"0.5472918",
"0.54561985",
"0.54503137",
"0.5445359",
... | 0.0 | -1 |
Returns the list of faces found. | public Observable<ServiceResponse<FoundFacesInner>> findFacesFileInputWithServiceResponseAsync(byte[] imageStream, Boolean cacheImage) {
if (this.client.baseUrl() == null) {
throw new IllegalArgumentException("Parameter this.client.baseUrl() is required and cannot be null.");
}
if (imageStream == null) {
throw new IllegalArgumentException("Parameter imageStream is required and cannot be null.");
}
String parameterizedHost = Joiner.on(", ").join("{baseUrl}", this.client.baseUrl());
RequestBody imageStreamConverted = RequestBody.create(MediaType.parse("image/gif"), imageStream);
return service.findFacesFileInput(cacheImage, imageStreamConverted, this.client.acceptLanguage(), parameterizedHost, this.client.userAgent())
.flatMap(new Func1<Response<ResponseBody>, Observable<ServiceResponse<FoundFacesInner>>>() {
@Override
public Observable<ServiceResponse<FoundFacesInner>> call(Response<ResponseBody> response) {
try {
ServiceResponse<FoundFacesInner> clientResponse = findFacesFileInputDelegate(response);
return Observable.just(clientResponse);
} catch (Throwable t) {
return Observable.error(t);
}
}
});
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public Face[] getFaces() {\n return faces;\n }",
"static FaceSegment[] allFaces() {\n FaceSegment[] faces = new FaceSegment[6];\n for (int i = 0; i < faces.length; i++) {\n faces[i] = new FaceSegment();\n }\n return faces;\n }",
"public int[][] getFaces() {\n\t\treturn t... | [
"0.7671269",
"0.74346423",
"0.7110249",
"0.69152063",
"0.6914806",
"0.6282762",
"0.6270876",
"0.6183134",
"0.6173269",
"0.59021",
"0.57824975",
"0.573041",
"0.56643003",
"0.564971",
"0.5503765",
"0.5503765",
"0.5493121",
"0.5472918",
"0.54561985",
"0.54503137",
"0.5445359",
... | 0.0 | -1 |
Returns the list of faces found. | public Observable<FoundFacesInner> findFacesUrlInputAsync(String contentType, BodyModelInner imageUrl) {
return findFacesUrlInputWithServiceResponseAsync(contentType, imageUrl).map(new Func1<ServiceResponse<FoundFacesInner>, FoundFacesInner>() {
@Override
public FoundFacesInner call(ServiceResponse<FoundFacesInner> response) {
return response.body();
}
});
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public Face[] getFaces() {\n return faces;\n }",
"static FaceSegment[] allFaces() {\n FaceSegment[] faces = new FaceSegment[6];\n for (int i = 0; i < faces.length; i++) {\n faces[i] = new FaceSegment();\n }\n return faces;\n }",
"public int[][] getFaces() {\n\t\treturn t... | [
"0.7671218",
"0.74343956",
"0.71101314",
"0.691482",
"0.69146",
"0.62822634",
"0.6271086",
"0.6183204",
"0.6173539",
"0.59023684",
"0.5782556",
"0.5730131",
"0.5664912",
"0.56492686",
"0.5503748",
"0.5503748",
"0.5493492",
"0.54722375",
"0.5456128",
"0.5450902",
"0.544514",
... | 0.0 | -1 |
Returns the list of faces found. | public Observable<ServiceResponse<FoundFacesInner>> findFacesUrlInputWithServiceResponseAsync(String contentType, BodyModelInner imageUrl) {
if (this.client.baseUrl() == null) {
throw new IllegalArgumentException("Parameter this.client.baseUrl() is required and cannot be null.");
}
if (contentType == null) {
throw new IllegalArgumentException("Parameter contentType is required and cannot be null.");
}
if (imageUrl == null) {
throw new IllegalArgumentException("Parameter imageUrl is required and cannot be null.");
}
Validator.validate(imageUrl);
final Boolean cacheImage = null;
String parameterizedHost = Joiner.on(", ").join("{baseUrl}", this.client.baseUrl());
return service.findFacesUrlInput(cacheImage, contentType, imageUrl, this.client.acceptLanguage(), parameterizedHost, this.client.userAgent())
.flatMap(new Func1<Response<ResponseBody>, Observable<ServiceResponse<FoundFacesInner>>>() {
@Override
public Observable<ServiceResponse<FoundFacesInner>> call(Response<ResponseBody> response) {
try {
ServiceResponse<FoundFacesInner> clientResponse = findFacesUrlInputDelegate(response);
return Observable.just(clientResponse);
} catch (Throwable t) {
return Observable.error(t);
}
}
});
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public Face[] getFaces() {\n return faces;\n }",
"static FaceSegment[] allFaces() {\n FaceSegment[] faces = new FaceSegment[6];\n for (int i = 0; i < faces.length; i++) {\n faces[i] = new FaceSegment();\n }\n return faces;\n }",
"public int[][] getFaces() {\n\t\treturn t... | [
"0.7671218",
"0.74343956",
"0.71101314",
"0.691482",
"0.69146",
"0.62822634",
"0.6271086",
"0.6183204",
"0.6173539",
"0.59023684",
"0.5782556",
"0.5730131",
"0.5664912",
"0.56492686",
"0.5503748",
"0.5503748",
"0.5493492",
"0.54722375",
"0.5456128",
"0.5450902",
"0.544514",
... | 0.0 | -1 |
Returns the list of faces found. | public Observable<FoundFacesInner> findFacesUrlInputAsync(String contentType, BodyModelInner imageUrl, Boolean cacheImage) {
return findFacesUrlInputWithServiceResponseAsync(contentType, imageUrl, cacheImage).map(new Func1<ServiceResponse<FoundFacesInner>, FoundFacesInner>() {
@Override
public FoundFacesInner call(ServiceResponse<FoundFacesInner> response) {
return response.body();
}
});
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public Face[] getFaces() {\n return faces;\n }",
"static FaceSegment[] allFaces() {\n FaceSegment[] faces = new FaceSegment[6];\n for (int i = 0; i < faces.length; i++) {\n faces[i] = new FaceSegment();\n }\n return faces;\n }",
"public int[][] getFaces() {\n\t\treturn t... | [
"0.7671269",
"0.74346423",
"0.7110249",
"0.69152063",
"0.6914806",
"0.6282762",
"0.6270876",
"0.6183134",
"0.6173269",
"0.59021",
"0.57824975",
"0.573041",
"0.56643003",
"0.564971",
"0.5503765",
"0.5503765",
"0.5493121",
"0.5472918",
"0.54561985",
"0.54503137",
"0.5445359",
... | 0.0 | -1 |
Returns the list of faces found. | public Observable<ServiceResponse<FoundFacesInner>> findFacesUrlInputWithServiceResponseAsync(String contentType, BodyModelInner imageUrl, Boolean cacheImage) {
if (this.client.baseUrl() == null) {
throw new IllegalArgumentException("Parameter this.client.baseUrl() is required and cannot be null.");
}
if (contentType == null) {
throw new IllegalArgumentException("Parameter contentType is required and cannot be null.");
}
if (imageUrl == null) {
throw new IllegalArgumentException("Parameter imageUrl is required and cannot be null.");
}
Validator.validate(imageUrl);
String parameterizedHost = Joiner.on(", ").join("{baseUrl}", this.client.baseUrl());
return service.findFacesUrlInput(cacheImage, contentType, imageUrl, this.client.acceptLanguage(), parameterizedHost, this.client.userAgent())
.flatMap(new Func1<Response<ResponseBody>, Observable<ServiceResponse<FoundFacesInner>>>() {
@Override
public Observable<ServiceResponse<FoundFacesInner>> call(Response<ResponseBody> response) {
try {
ServiceResponse<FoundFacesInner> clientResponse = findFacesUrlInputDelegate(response);
return Observable.just(clientResponse);
} catch (Throwable t) {
return Observable.error(t);
}
}
});
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public Face[] getFaces() {\n return faces;\n }",
"static FaceSegment[] allFaces() {\n FaceSegment[] faces = new FaceSegment[6];\n for (int i = 0; i < faces.length; i++) {\n faces[i] = new FaceSegment();\n }\n return faces;\n }",
"public int[][] getFaces() {\n\t\treturn t... | [
"0.7671269",
"0.74346423",
"0.7110249",
"0.69152063",
"0.6914806",
"0.6282762",
"0.6270876",
"0.6183134",
"0.6173269",
"0.59021",
"0.57824975",
"0.573041",
"0.56643003",
"0.564971",
"0.5503765",
"0.5503765",
"0.5493121",
"0.5472918",
"0.54561985",
"0.54503137",
"0.5445359",
... | 0.0 | -1 |
Returns any text found in the image for the language specified. If no language is specified in input then the detection defaults to English. | public Observable<OCRInner> oCRUrlInputAsync(String language, String contentType, BodyModelInner imageUrl) {
return oCRUrlInputWithServiceResponseAsync(language, contentType, imageUrl).map(new Func1<ServiceResponse<OCRInner>, OCRInner>() {
@Override
public OCRInner call(ServiceResponse<OCRInner> response) {
return response.body();
}
});
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"public String detectLanguage(String text) {\n\t\treturn dictionary.detectLanguage(text);\n\t}",
"public boolean translateImageToText();",
"@SuppressWarnings(\"static-access\")\n\tpublic void detection(Request text) {\n\t\t//Fichiertxt fichier;\n\t\ttry {\t\t\t\t\t\n\t\t\t//enregistrement et affichage de la lan... | [
"0.6339322",
"0.5907689",
"0.5881454",
"0.5613236",
"0.5499387",
"0.5476547",
"0.54720753",
"0.54378355",
"0.54378355",
"0.54230297",
"0.54117554",
"0.5398961",
"0.5386767",
"0.5368199",
"0.5356364",
"0.5356364",
"0.5356364",
"0.5355748",
"0.53044903",
"0.52970636",
"0.525971... | 0.0 | -1 |
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