@polkadot/util#BN_MAX_INTEGER TypeScript Examples

The following examples show how to use @polkadot/util#BN_MAX_INTEGER. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may check out the related API usage on the sidebar.
Example #1
Source File: useSortedTargets.ts    From crust-apps with Apache License 2.0 5 votes vote down vote up 
function extractInfo (api: ApiPromise, allAccounts: string[], electedDerive: DeriveStakingElected, waitingDerive: DeriveStakingWaiting, favorites: string[], totalIssuance: BN, lastEraInfo: LastEra, validatorStakeLimit: ValidatorStakeLimit[], guarantors: Guarantor[], totalReward: BN, validatorCount: number, historyDepth?: BN): Partial<SortedTargets> {
  const [elected, nominators] = extractSingle(api, allAccounts, electedDerive, favorites, lastEraInfo, validatorStakeLimit, guarantors, historyDepth);
  const [waiting, waitingNominators] = extractSingle(api, allAccounts, waitingDerive, favorites, lastEraInfo, validatorStakeLimit, guarantors);
  const electedTotals = elected
    .filter(({ isActive }) => isActive)
    .map(({ bondTotal }) => bondTotal)
  const waitingTotals = waiting
  .filter(({ isActive }) => isActive)
  .map(({ bondTotal }) => bondTotal)
  const activeTotals = [...electedTotals, ...waitingTotals].sort((a, b) => a.cmp(b));
  const totalStaked = activeTotals.reduce((total: BN, value) => total.iadd(value), new BN(0));
  const avgStaked = totalStaked.divn(activeTotals.length);
  const inflation = calcInflation(api, totalStaked, totalIssuance);

  // add the explicit stakedReturn
  !avgStaked.isZero() && elected.forEach((e): void => {
    if (!e.skipRewards) {
      const adjusted = avgStaked.mul(BN_HUNDRED).imuln(inflation.stakedReturn).div(e.bondTotal);

      // in some cases, we may have overflows... protect against those
      // @ts-ignore
      e.stakedReturn = Number(adjusted.gt(BN_MAX_INTEGER) ? BN_MAX_INTEGER : adjusted) / BN_HUNDRED.toNumber();
      e.stakedReturnCmp = e.stakedReturn * (100 - e.commissionPer) / 100;
    }
  });

  // all validators, calc median commission
  const tmpMinNominated = Object.values(nominators).reduce((min: BN, value) => {
    return min.isZero() || value.lt(min)
      ? value
      : min;
  }, BN_ZERO);

  const minNominated = Object.values(waitingNominators).reduce((min: BN, value) => {
    return min.isZero() || value.lt(min)
      ? value
      : min;
  }, tmpMinNominated);
  const validators = sortValidators(arrayFlatten([elected, waiting])).map(e => calculateApy(totalReward, validatorCount, totalStaked, e));
  const commValues = validators.map(({ commissionPer }) => commissionPer).sort((a, b) => a - b);
  const midIndex = Math.floor(commValues.length / 2);
  const medianComm = commValues.length
    ? commValues.length % 2
      ? commValues[midIndex]
      : (commValues[midIndex - 1] + commValues[midIndex]) / 2
    : 0;

  // ids
  const waitingIds = waiting.map(({ key }) => key);
  const validatorIds = arrayFlatten([
    elected.map(({ key }) => key),
    waitingIds
  ]);
  const nominateIds = arrayFlatten([
    elected.filter(({ isBlocking }) => !isBlocking).map(({ key }) => key),
    waiting.filter(({ isBlocking }) => !isBlocking).map(({ key }) => key)
  ]);

  return {
    avgStaked,
    inflation,
    lowStaked: activeTotals[0] || BN_ZERO,
    medianComm,
    minNominated,
    nominateIds,
    nominators: Object.keys(nominators).concat(Object.keys(waitingNominators).filter((e) => !Object.keys(nominators).includes(e))),
    totalIssuance,
    totalStaked,
    validatorIds,
    validators,
    waitingIds
  };
}