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Top 9 Examples of "fastpriorityqueue in functional component" in JavaScript

Dive into secure and efficient coding practices with our curated list of the top 10 examples showcasing 'fastpriorityqueue' in functional components in JavaScript. Our advanced machine learning engine meticulously scans each line of code, cross-referencing millions of open source libraries to ensure your implementation is not just functional, but also robust and secure. Elevate your React applications to new heights by mastering the art of handling side effects, API calls, and asynchronous operations with confidence and precision.

export function createSortedStream(feeds) {
  const streams = createStreams(feeds)
  // eslint-disable-next-line no-unused-vars
  const heap = new Heap(([k1, v1], [k2, v2]) => {
    if (typeof v2.timestamp === 'undefined') {
      if (typeof v1.timestamp === 'undefined') {
        return false
      }
      return true
    }

    if (typeof v1.timestamp === 'undefined') {
      return false
    }

    return v1.timestamp < v2.timestamp
  })

  Object.keys(streams).forEach((key) => {
    const stream = streams[key]
this.id = rndHex();
  this.isAverageCenter = isAverageCenter;
  this.cX = null;
  this.cY = null;
  this.members = new KeySet('id');
  this.isChanged = false;

  this.minX = Infinity;
  this.maxX = 0;
  this.minY = Infinity;
  this.maxY = 0;
  // Manhatten diameter
  this.diameter = 0;

  // Farthest nearest neighbors
  this.fnns = new FastPriorityQueue((a, b) => a.d > b.d);

  // Usually this is the grid size of the clusterer
  this.padding = padding;

  this.isRemoved = false;
  this.isDisconnected = false;
}
super();
    this.opts = opts;
    this.chain = opts.name;
    this.config = config;
    this.db = db;
    this.eth1 = eth1;
    this.opPool = opPool;
    this.logger = logger;
    this.metrics = metrics;
    this.forkChoice = new StatefulDagLMDGHOST();
    this.chainId = 0; // TODO make this real
    this.networkId = new BN(0); // TODO make this real
    this.attestationProcessingQueue = queue(async (task: Function) => {
      await task();
    }, 1);
    this.blockProcessingQueue = new FastPriorityQueue((a: BeaconBlock, b: BeaconBlock) => {
      return a.slot < b.slot;
    });
  }
export function getBestPathAcross(
    startToExits: Map,
    exitsToTarget: Map,
    distancesBetweenExits: Map>,
    graphs: Map,
    accessible: boolean,
    shortest: boolean): Path | undefined {
  const doorPairings = new FastPriorityQueue(doorPairingComparator);

  for (const exit of startToExits.keys()) {
    for (const entrance of exitsToTarget.keys()) {
      // TODO: adjust path distances inside buildings to give less weight than those outside
      const exitPath = startToExits.get(exit);
      const entrancePath = exitsToTarget.get(entrance);
      if (exitPath == undefined || entrancePath == undefined) {
        // Path could not be found between the start and door, possibly because it's closed,
        // possibly because the user wants it to be accessible
        continue;
      }

      let distance = 0;
      if (shortest) {
        distance = exitPath.distance * INNER_UNIT_TO_M;
        distance += entrancePath.distance * INNER_UNIT_TO_M;
super();
    this.opts = opts;
    this.chain = opts.name;
    this.config = config;
    this.db = db;
    this.eth1 = eth1;
    this.opPool = opPool;
    this.logger = logger;
    this.metrics = metrics;
    this.forkChoice = new StatefulDagLMDGHOST();
    this.chainId = 0; // TODO make this real
    this.networkId = 0n; // TODO make this real
    this.attestationProcessingQueue = queue(async (task: Function) => {
      await task();
    }, 1);
    this.blockProcessingQueue = new FastPriorityQueue((a: IBlockProcessJob, b: IBlockProcessJob) => {
      return a.block.slot < b.block.slot;
    });
  }
function layeringCoffmanGraham(dag) {
    maxWidth =
      maxWidth || Math.floor(Math.sqrt(dag.reduce((a) => a + 1, 0)) + 0.5);

    // Initialize node data
    dag
      .each((node) => {
        node._before = [];
        node._parents = [];
      })
      .each((n) => n.children.forEach((c) => c._parents.push(n)));

    // Create queue
    const queue = FastPriorityQueue((a, b) => {
      for (let j = 0; j < a._before.length; ++j) {
        if (j >= b._before.length) {
          return false;
        } else if (a._before[j] < b._before[j]) {
          return true;
        } else if (b._before[j] < a._before[j]) {
          return false;
        }
      }
      return true;
    });

    // Start with root nodes
    dag.roots().forEach((n) => queue.add(n));
    let i = 0;
    let layer = 0;
function createSortedStream(feeds) {
    const streams = createStreams(feeds);
    // eslint-disable-next-line no-unused-vars
    const heap = new fastpriorityqueue_ts_1.FastPriorityQueue((t1, t2) => {
        if (typeof t1 === 'undefined') {
            if (typeof t2 === 'undefined') {
                return false;
            }
            return true;
        }
        if (typeof t1 === 'undefined') {
            return false;
        }
        return t1 < t2;
    });
    Object.keys(streams).forEach((type) => {
        const stream = streams[type];
        stream.pull((err, item) => {
            if (!err && item) {
                heap.add({
export function findShortestPathsBetween(
    startNode: Node,
    targetNodes: Set,
    graph: Graph,
    accessible: boolean,
    reverse: boolean): Map {
  const paths: Map = new Map();
  const targetsFound: Set = new Set();

  const nodes = new FastPriorityQueue(partialPathComparator);
  const distances: Map = new Map();
  const previous: Map = new Map();

  for (const node of graph.adjacencies.keys()) {
    if (node === startNode) {
      distances.set(node, 0);
      nodes.add({ dist: 0, node });
    } else {
      distances.set(node, Infinity);
      nodes.add({ dist: Infinity, node });
    }
  }

  const firstTargetNode = targetNodes.values().next().value;

  if (startNode.getType() === NodeType.Door && firstTargetNode.getBuilding() === startNode.getBuilding()) {
constructor(data) {
        this._queue = new Map();
        this._pq = new FastPriorityQueue();
        this._tick = 0;
        this._graph = this.makeGraph(data, data.subcircuits);
    }
    shutdown() {

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