func newScanner(r io.Reader) *scanner {
	sr := &scanner{
		end:       maxInt,
		fillReq:   make(chan struct{}),
		fillReady: make(chan int64),
	}

	go func() {
		var rpos int64 // total bytes read into buffer

		defer func() {
			atomic.StoreInt64(&sr.end, rpos)
			close(sr.fillReady)
		}()

		for range sr.fillReq {
		scan:
			n, err := r.Read(sr.nbuf[:])

			if n == 0 {
				switch err {

            throws InvalidRepositoryException {
        RepositorySystem repositorySystem = rs(c);
        RepositorySystemSession session = rss(c);

        ArtifactRepository repository = repositorySystem.buildArtifactRepository(repo);

        if (session != null) {
            repositorySystem.injectMirror(session, Arrays.asList(repository));

  TFE_DeleteContextOptions(opts);

  TFE_ContextSetServerDef(ctx, 0, serialized.data(), serialized.size(), status);
  EXPECT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);

  // Use large matrices so that RPCs don't return before we get a chance
  // to call TFE_DeleteContext.
  TFE_TensorHandle* h0_task0 = TestMatrixTensorHandle100x100(ctx);
  TFE_TensorHandle* h1_task0 = TestMatrixTensorHandle100x100(ctx);

	PercentFreeGoal float64            `msg:"pf"`     // Computed from total free space and capacity at the start of rebalance
	PoolStats       []*rebalanceStats  `msg:"rss"`    // Per-pool rebalance stats keyed by pool index
}

var errRebalanceNotStarted = errors.New("rebalance not started")

func (z *erasureServerPools) loadRebalanceMeta(ctx context.Context) error {

        local in-processs tf.data service workers. `"AUTO"` works well for most
        cases, while users can specify other targets. For example, `"LOCAL"`
        would help avoid RPCs and data copy if every TF worker colocates with a
        tf.data service worker. Currently, `"AUTO"` reads from any tf.data
        service workers to preserve existing behavior. The default value is
        `"AUTO"`.