Java HashBasedTable.create方法代码示例

import com.google.common.collect.HashBasedTable; //导入方法依赖的package包/类
private void initIFDS() {
	Scene.v().setCallGraph(new CallGraph());
	this.jumpFunctions = new JumpFunctions<Unit, FlowAbstraction, IFDSSolver.BinaryDomain>(IFDSSolver.getAllTop());
	this.endSum = HashBasedTable.create();
	this.inc = HashBasedTable.create();
	this.icfg = new JitIcfg(new ArrayList<SootMethod>()) {
		@Override
		public Set<SootMethod> getCalleesOfCallAt(Unit u) {
			if (currentTask != null)
				return currentTask.calleesOfCallAt(u);
			else // Empty by default (same behaviour as L1)
				return new HashSet<SootMethod>();
		}
	};
	this.reporter.setIFDS(icfg, jumpFunctions);
}
 

import com.google.common.collect.HashBasedTable; //导入方法依赖的package包/类
/**
 * retrieve a rating matrix from the tensor. Warning: it assumes there is at most one entry for each (user, item)
 * pair.
 *
 * @return a sparse rating matrix
 */
public SparseMatrix rateMatrix() {

	Table<Integer, Integer, Double> dataTable = HashBasedTable.create();
	Multimap<Integer, Integer> colMap = HashMultimap.create();

	for (TensorEntry te : this) {
		int u = te.key(userDimension);
		int i = te.key(itemDimension);

		dataTable.put(u, i, te.get());
		colMap.put(i, u);
	}

	return new SparseMatrix(dimensions[userDimension], dimensions[itemDimension], dataTable, colMap);
}
 

import com.google.common.collect.HashBasedTable; //导入方法依赖的package包/类
public static void register(final Kryo kryo) {
  // register list
  final ImmutableListSerializer serializer = new ImmutableListSerializer();
  kryo.register(ImmutableList.class, serializer);
  kryo.register(ImmutableList.of().getClass(), serializer);
  kryo.register(ImmutableList.of(Integer.valueOf(1)).getClass(), serializer);
  kryo.register(ImmutableList.of(Integer.valueOf(1), Integer.valueOf(2), Integer.valueOf(3)).subList(1, 2).getClass(), serializer);
  kryo.register(ImmutableList.of().reverse().getClass(), serializer);
  kryo.register(Lists.charactersOf("dremio").getClass(), serializer);

  final HashBasedTable baseTable = HashBasedTable.create();
  baseTable.put(Integer.valueOf(1), Integer.valueOf(2), Integer.valueOf(3));
  baseTable.put(Integer.valueOf(4), Integer.valueOf(5), Integer.valueOf(6));
  ImmutableTable table = ImmutableTable.copyOf(baseTable);
  kryo.register(table.values().getClass(), serializer);
}
 

import com.google.common.collect.HashBasedTable; //导入方法依赖的package包/类
/**
 * 将配置项构造成一个二维表，[配置名称, Profile ID, 配置项]
 *
 * @param configItemList
 * @return
 */
private Table<String, Integer, List<BuildConfigItem>> getConfigItemTable(List<BuildConfigItem> configItemList) {
    Table<String, Integer, List<BuildConfigItem>> configItemTable = HashBasedTable.create();

    List<BuildConfigItem> listByNameAndProfile = null;
    for (BuildConfigItem configItem : configItemList) {
        listByNameAndProfile = configItemTable.get(configItem.getConfigName(), configItem.getProfileId());
        if (listByNameAndProfile == null) {
            listByNameAndProfile = new ArrayList<>();
            configItemTable.put(configItem.getConfigName(), configItem.getProfileId(), listByNameAndProfile);
        }
        listByNameAndProfile.add(configItem);
    }

    return configItemTable;
}
 

import com.google.common.collect.HashBasedTable; //导入方法依赖的package包/类
public void buildPropertyValueTable(Map<Map<IProperty, Comparable>, BlockState.StateImplementation> map)
{
    if (this.propertyValueTable != null)
    {
        throw new IllegalStateException();
    }
    else
    {
        Table<IProperty, Comparable, IBlockState> table = HashBasedTable.<IProperty, Comparable, IBlockState>create();

        for (IProperty <? extends Comparable > iproperty : this.properties.keySet())
        {
            for (Comparable comparable : iproperty.getAllowedValues())
            {
                if (comparable != this.properties.get(iproperty))
                {
                    table.put(iproperty, comparable, map.get(this.getPropertiesWithValue(iproperty, comparable)));
                }
            }
        }

        this.propertyValueTable = ImmutableTable.<IProperty, Comparable, IBlockState>copyOf(table);
    }
}
 

import com.google.common.collect.HashBasedTable; //导入方法依赖的package包/类
@Test
public void testCreate() {
    HashBasedTable<String, String, String> table = HashBasedTable.create();

    table.put("cbooy", "vm", "10.94.97.94");
    table.put("cbooy", "name", "haoc");
    table.put("hello", "name", "hi");
    table.put("hello", "vm", "10999");

    System.out.println(table);

    // 遍历
    table.cellSet().forEach(cell -> {
        String columnKey = cell.getColumnKey();
        String rowKey = cell.getRowKey();
        String value = cell.getValue();

        System.out.println(String.format("%s-%s-%s", rowKey, columnKey, value));
    });
}
 

import com.google.common.collect.HashBasedTable; //导入方法依赖的package包/类
/**
 * Create a weighter (average values) given the network weights
 * 
 * @param networkWeights
 */
public AverageTraceWeighter(NetworkWeight networkWeights) {
	this.networkWeights = networkWeights;

	weightTable = HashBasedTable.create();
	varianceTable = HashBasedTable.create();
	for (Cell<String, String, ClockCycles> cell : networkWeights.asTable().cellSet()) {
		String actor = cell.getRowKey();
		String action = cell.getColumnKey();
		ClockCycles w = cell.getValue();

		double avg = w.getMeanClockCycles();
		double min = Math.min(w.getMinClockCycles(), avg);
		double max = Math.max(avg, w.getMaxClockCycles());
		double variance = Math.pow(((max - min) / 6.0), 2);

		weightTable.put(actor, action, avg);
		varianceTable.put(actor, action, variance);
	}
}
 

import com.google.common.collect.HashBasedTable; //导入方法依赖的package包/类
protected EspressoTable createEspressoTable() {
    int num = stategraph.getAllSignals().size();
    if(resetname != null) {
        num++;
    }
    int i = 0;
    String[] inputs = new String[num];
    if(resetname != null) {
        inputs[i++] = resetname;
    }
    for(Signal sig : stategraph.getAllSignals()) {
        inputs[i++] = sig.getName();
    }
    Table<EspressoTerm, String, EspressoValue> table = HashBasedTable.create();

    fillTable(num, inputs, table);

    return new EspressoTable(inputs, table);
}
 

import com.google.common.collect.HashBasedTable; //导入方法依赖的package包/类
private Table<Integer, Material, Integer> loadChunkMaterial() throws SQLException {
    Table<Integer, Material, Integer> target = HashBasedTable.create();
    ResultSet resultSet = selectChunkMaterial.executeQuery();

    while (resultSet.next()) {
        int id = resultSet.getInt("id");
        int chunkId = resultSet.getInt("chunk_id");
        int materialId = resultSet.getInt("material_id");
        int count = resultSet.getInt("count");

        identityCache.setChunkMaterialId(chunkId, materialId, id);
        identityCache.getMaterial(materialId).ifPresent(material ->
                target.put(chunkId, material, count));
    }

    resultSet.close();
    return target;
}
 

import com.google.common.collect.HashBasedTable; //导入方法依赖的package包/类
private Table<String, ResourceType, Response<Map<String, String>>> getAllFromRedis(Set<String> userIds) {
  if (userIds.size() == 0) {
    return HashBasedTable.create();
  }
  try (Jedis jedis = jedisSource.getJedis()) {
    Table<String, ResourceType, Response<Map<String, String>>> responseTable =
        ArrayTable.create(userIds, new ArrayIterator<>(ResourceType.values()));

    Pipeline p = jedis.pipelined();
    for (String userId : userIds) {
      for (ResourceType r : ResourceType.values()) {
        responseTable.put(userId, r, p.hgetAll(userKey(userId, r)));
      }
    }
    p.sync();
    return responseTable;
  } catch (Exception e) {
    log.error("Storage exception reading all entries.", e);
  }
  return null;
}
 

import com.google.common.collect.HashBasedTable; //导入方法依赖的package包/类
/**
 * Combine junctions from both strands.  Used for Sashimi plot.
 * Note: Flanking depth arrays are not combined.
 */
private List<SpliceJunctionFeature> combineStrandJunctionsMaps() {

    // Start with all + junctions
    Table<Integer, Integer, SpliceJunctionFeature> combinedStartEndJunctionsMap = HashBasedTable.create(posStartEndJunctionsMap);

    // Merge in - junctions
    for (Table.Cell<Integer, Integer, SpliceJunctionFeature> negJunctionCell : negStartEndJunctionsMap.cellSet()) {

        int junctionStart = negJunctionCell.getRowKey();
        int junctionEnd = negJunctionCell.getColumnKey();
        SpliceJunctionFeature negFeat = negJunctionCell.getValue();

        SpliceJunctionFeature junction = combinedStartEndJunctionsMap.get(junctionStart, junctionEnd);

        if (junction == null) {
            // No existing (+) junction here, just add the (-) one\
            combinedStartEndJunctionsMap.put(junctionStart, junctionEnd, negFeat);
        } else {
            int newJunctionDepth = junction.getJunctionDepth() + negFeat.getJunctionDepth();
            junction.setJunctionDepth(newJunctionDepth);
        }
    }

    return new ArrayList<SpliceJunctionFeature>(combinedStartEndJunctionsMap.values());
}
 

import com.google.common.collect.HashBasedTable; //导入方法依赖的package包/类
/**
 * Creates an instance.
 *
 * @param config Configuration of the yarn cluster
 * @param zkConnect ZooKeeper connection string
 * @param locationFactory Factory to create {@link Location} instances that are readable and writable by this service
 */
public YarnTwillRunnerService(YarnConfiguration config, String zkConnect, LocationFactory locationFactory) {
  this.yarnConfig = config;
  this.locationFactory = locationFactory;
  this.zkClientService = getZKClientService(zkConnect);
  this.controllers = HashBasedTable.create();
  this.serviceDelegate = new AbstractIdleService() {
    @Override
    protected void startUp() throws Exception {
      YarnTwillRunnerService.this.startUp();
    }

    @Override
    protected void shutDown() throws Exception {
      YarnTwillRunnerService.this.shutDown();
    }
  };
}
 

import com.google.common.collect.HashBasedTable; //导入方法依赖的package包/类
/**
 * Create a normal distribution weighter given the network weights
 * 
 * @param networkWeights
 */
public NormalDistributionTraceWeighter(NetworkWeight networkWeights) {
	this.networkWeights = networkWeights;

	weightTable = HashBasedTable.create();
	varianceTable = HashBasedTable.create();
	for (Cell<String, String, ClockCycles> cell : networkWeights.asTable().cellSet()) {
		String actor = cell.getRowKey();
		String action = cell.getColumnKey();
		ClockCycles w = cell.getValue();

		double avg = w.getMeanClockCycles();
		double min = Math.min(w.getMinClockCycles(), avg);
		double max = Math.max(avg, w.getMaxClockCycles());

		double weight = (min + 4 * avg + max) / 6.0;
		double variance = Math.pow(((max - min) / 6.0), 2);

		weightTable.put(actor, action, weight);
		varianceTable.put(actor, action, variance);
	}
}
 

import com.google.common.collect.HashBasedTable; //导入方法依赖的package包/类
private static Table<Integer, Integer, ImageData> readAllCellImages(XSSFDrawing drawing, Sheet sheet) {
    val images = HashBasedTable.<Integer, Integer, ImageData>create();
    for (val shape : drawing.getShapes()) {
        if (!(shape instanceof XSSFPicture)) continue;

        val picture = (XSSFPicture) shape;
        val imageData = createImageData(picture.getPictureData());

        val axisRow = computeAxisRowIndex(sheet, picture);
        val axisCol = computeAxisColIndex(sheet, picture);

        images.put(axisRow, axisCol, imageData);
    }

    return images;
}
 

import com.google.common.collect.HashBasedTable; //导入方法依赖的package包/类
public PatternStatsCalculator(final AbstractJavaTreeExtractor treeFormat,
		final Set<TreeNode<Integer>> patterns, final File directory) {
	this.treeFormat = treeFormat;
	this.patterns = HashMultiset.create(patterns);
	int currentIdx = 0;
	for (final Multiset.Entry<TreeNode<Integer>> rule : this.patterns
			.entrySet()) {
		patternDictionary.put(rule.getElement(), currentIdx);
		patternSizes.put(currentIdx, rule.getElement().getTreeSize());
		currentIdx++;
	}

	allFiles = FileUtils
			.listFiles(directory, JavaTokenizer.javaCodeFileFilter,
					DirectoryFileFilter.DIRECTORY);

	fileSizes = new MapMaker()
			.concurrencyLevel(ParallelThreadPool.NUM_THREADS)
			.initialCapacity(allFiles.size()).makeMap();
	filePatterns = HashBasedTable.create(allFiles.size(),
			patterns.size() / 10);
	filePatternsCount = HashBasedTable.create(allFiles.size(),
			patterns.size() / 1);
}