TypeScript lodash.countBy函数代码示例

  private collateEntityIds(entityType: string, nonUniqueEntityIds: string[]): ICollatedIdGroup[] {
    const entityIds = uniq(nonUniqueEntityIds);
    const entityIdCounts = countBy(nonUniqueEntityIds);
    const baseUrlLength = `${SETTINGS.gateUrl}/tags?entityType=${entityType}&entityIds=`.length;
    const maxIdGroupLength = get(SETTINGS, 'entityTags.maxUrlLength', 4000) - baseUrlLength;
    const idGroups: ICollatedIdGroup[] = [];
    const joinedEntityIds = entityIds.join(',');
    const maxGroupSize = 100;

    if (joinedEntityIds.length > maxIdGroupLength) {
      let index = 0,
        currentLength = 0;
      const currentGroup: string[] = [];
      while (index < entityIds.length) {
        if (currentLength + entityIds[index].length + 1 > maxIdGroupLength || currentGroup.length === maxGroupSize) {
          idGroups.push(this.makeIdGroup(currentGroup, entityIdCounts));
          currentGroup.length = 0;
          currentLength = 0;
        }
        currentGroup.push(entityIds[index]);
        currentLength += entityIds[index].length + 1;
        index++;
      }
      if (currentGroup.length) {
        idGroups.push(this.makeIdGroup(currentGroup, entityIdCounts));
      }
    } else {
      idGroups.push(this.makeIdGroup(entityIds, entityIdCounts));
    }

    return idGroups;
  }

export function unmatch(orbs: Orb[][], match: number[][]): Orb[][] {
    let intersections: number[][] = [];
    // it is a simple match if all of the coords have only 1 rowCoord or 1 colCoord
    let [rowCoords, colCoords] = _.zip(...match);
    let isSimpleMatch = _.uniq(rowCoords).length === 1 || _.uniq(colCoords).length === 1;
    if (isSimpleMatch) {
        // finds the median orb in the match
        let median = Math.floor(match.length / 2);
        let [midRow, midCol] = match[median];

        // Checks for a side-by-side match, which could cause and endless loop.
        // In that case, the skipToRandom argument in _unmatch is triggered.
        let midNeighbors: Orb[];
        if (_.uniq(rowCoords).length === 1) {
            midNeighbors = [orbs[midRow][midCol - 1], orbs[midRow][midCol + 1]];
        } else {
            midNeighbors = [orbs[midRow - 1][midCol], orbs[midRow + 1][midCol]];
        }
        let isSideBySideMatch = _.includes(midNeighbors, orbs[midRow][midCol]);

        orbs = _unmatch(orbs, midRow, midCol, match, isSideBySideMatch);
    } else {
        // collects which rows and columns have matches in them
        let matchRows: number[] = [];
        let matchCols: number[] = [];
        _.each(_.countBy(rowCoords), (v, k) => {
            if (v > 2) {
                matchRows.push(_.toInteger(k));
            };
        });
        _.each(_.countBy(colCoords), (v, k) => {
            if (v > 2) {
                matchCols.push(_.toInteger(k));
            };
        });
        // if a coordinate is in a row match and a column match, it is an intersection
        _.each(match, coords => {
            if (_.includes(matchRows, coords[0]) && _.includes(matchCols, coords[1])) {
                intersections.push(coords);
            };
        });
        // chooses a random intersection to unmatch 
        let [row, col] = _.sample(intersections);
        _unmatch(orbs, row, col, match);
    };    
    return orbs;
};

 textForHtml(boundVariableLists: string[][]) {
   const name = boundVariableLists[this.level][this.index];
   if (_.countBy(_.flattenDeep(boundVariableLists))[name] > 1) { // Disambiguate variables that appear multiple times in scope
     return this.serialize()
   } else {
     return name;
   }
 }

   redisClient.hvals('users', (err, replies) => {
     if (err) {
       console.error(err);
       reject(err);
     }
 
     const counts = countBy(replies);
     resolve(counts);
   });

export function createApmTelementry(
  agentNames: string[] = []
): SavedObjectAttributes {
  const validAgentNames = agentNames.filter(isAgentName);
  return {
    has_any_services: validAgentNames.length > 0,
    services_per_agent: countBy(validAgentNames)
  };
}

export async function makeRoomForPostmaster(
  store: DimStore,
  toaster,
  bucketsService: () => Promise<InventoryBuckets>
): Promise<void> {
  const buckets = await bucketsService();
  const postmasterItems: DimItem[] = _.flatMap(
    buckets.byCategory.Postmaster,
    (bucket: InventoryBucket) => store.buckets[bucket.id]
  );
  const postmasterItemCountsByType = _.countBy(postmasterItems, (i) => i.bucket.id);
  // If any category is full, we'll move enough aside
  const itemsToMove: DimItem[] = [];
  _.each(postmasterItemCountsByType, (count, bucket) => {
    if (count > 0 && store.buckets[bucket].length > 0) {
      const items: DimItem[] = store.buckets[bucket];
      const capacity = store.capacityForItem(items[0]);
      const numNeededToMove = Math.max(0, count + items.length - capacity);
      if (numNeededToMove > 0) {
        // We'll move the lowest-value item to the vault.
        const candidates = _.sortBy(items.filter((i) => !i.equipped && !i.notransfer), (i) => {
          let value: number = {
            Common: 0,
            Uncommon: 1,
            Rare: 2,
            Legendary: 3,
            Exotic: 4
          }[i.tier];
          // And low-stat
          if (i.primStat) {
            value += i.primStat.value / 1000;
          }
          return value;
        });
        itemsToMove.push(..._.take(candidates, numNeededToMove));
      }
    }
  });
  // TODO: it'd be nice if this were a loadout option
  try {
    await moveItemsToVault(store.getStoresService(), store, itemsToMove, dimItemService);
    toaster.pop(
      'success',
      t('Loadouts.MakeRoom'),
      t('Loadouts.MakeRoomDone', {
        count: postmasterItems.length,
        movedNum: itemsToMove.length,
        store: store.name,
        context: store.gender
      })
    );
  } catch (e) {
    toaster.pop('error', t('Loadouts.MakeRoom'), t('Loadouts.MakeRoomError', { error: e.message }));
    throw e;
  }
}

 _.filter(polyhedron.faces, face => {
   const faceCounts = _.countBy(
     face.vertexAdjacentFaces().filter(f => !f.equals(face)),
     'numSides',
   );
   return (
     _.isEqual(faceCounts, { '4': face.numSides }) ||
     _.isEqual(faceCounts, { '3': 2 * face.numSides })
   );
 }),

export function createApmTelementry(
  agentNames: AgentName[] = []
): ApmTelemetry {
  const validAgentNames = agentNames.filter(agentName =>
    Object.values(AgentName).includes(agentName)
  );
  return {
    has_any_services: validAgentNames.length > 0,
    services_per_agent: countBy(validAgentNames)
  };
}

  return mapValues(visTypes, curr => {
    const total = curr.length;
    const spacesBreakdown = countBy(curr, 'space');
    const spaceCounts: number[] = _.values(spacesBreakdown);

    return {
      total,
      spaces_min: _.min(spaceCounts),
      spaces_max: _.max(spaceCounts),
      spaces_avg: total / spaceCounts.length,
    };
  });

 it("returns calendar rows: empty", () => {
   const eventData: EventData = {
     start_time: "2017-12-20T01:02:00.000Z",
     end_time: "2019-12-20T01:05:00.000Z",
     repeat: 100,
     time_unit: "yearly"
   };
   const testTime = moment("2017-12-30T01:00:00.000Z");
   const calendar = mapResourcesToCalendar(
     fakeSeqFEResources(eventData).index, testTime);
   const dayOneItems = calendar.getAll()[0].items;
   expect(countBy(dayOneItems, "heading")).toEqual({ "*Empty*": 1 });
 });