* gigantic heap, in which case we scale by heap size.
   */
  private static long timeoutSeconds() {
    // This class can make no hard guarantees.  The methods in this class are inherently flaky, but
    // we try hard to make them robust in practice.  We could additionally try to add in a system
    // load timeout multiplier.  Or we could try to use a CPU time bound instead of wall clock time

	// To avoid these problems we must split the work at scale. With 1000 node
	// setup becoming a reality we must try to shard the work properly such as
	// pick 10 nodes that precisely can send those 100 requests the first node
	// in the 10 node shard would coordinate between other 9 shards to get the
	// rest of the `99*9` requests.
	//
	// This essentially splits the workload properly and also allows for network

			pod.Labels,
			v1.DoNotSchedule,
		)
		if err != nil {
			return nil, fmt.Errorf("obtaining pod's hard topology spread constraints: %w", err)
		}
	} else {
		constraints, err = pl.buildDefaultConstraints(pod, v1.DoNotSchedule)
		if err != nil {
			return nil, fmt.Errorf("setting default hard topology spread constraints: %w", err)
		}
	}
	return constraints, nil
}

            { "aliases", "allocation", "count", "fielddata", "health", "indices", "master", "nodeattrs", "nodes", "pending_tasks",
                    "plugins", "recovery", "repositories", "thread_pool", "shards", "segments", "snapshots", "templates" };

    // ===================================================================================
    //                                                                           Attribute

		v1beta1.LabelServiceName: name,
	}).AsSelectorPreValidated().Add(*endpointSliceRequirement)
}

func (esc *endpointSliceController) pushEDS(hostnames []host.Name, namespace string) {
	shard := model.ShardKeyFromRegistry(esc.c)
	// Even though we just read from the cache, we need the full lock to ensure pushEDS
	// runs sequentially when `EnableK8SServiceSelectWorkloadEntries` is enabled. Otherwise,

		" fnID:", fnID, " numCtrs:", nCtrs)
	println("list of hard-coded runtime package IDs needs revising.")
	println("[see the comment on the 'rtPkgs' var in ")
	println(" <goroot>/src/internal/coverage/pkid.go]")
	println("registered list:")
	for k, b := range metaList {
		print("slot: ", k, " path='", b.PkgPath, "' ")
		if b.PkgID != -1 {
			print(" hard-coded id: ", b.PkgID)
		}
		println("")
	}

		if a[i] != b[i] {
			return false
		}
	}
	return true
}

// This is an unusual case.  Service has a number of inter-related fields and
// in order to avoid breaking clients we try really hard to infer what users
// mean when they change them.
//
// Services are effectively a discriminated union, where `type` is the
// discriminator. Some fields just don't make sense with some types, so we
// clear them.

	{"Easy0i", "(?i)ABCDEFGHIJklmnopqrstuvwxyz$"},
	{"Easy1", "A[AB]B[BC]C[CD]D[DE]E[EF]F[FG]G[GH]H[HI]I[IJ]J$"},
	{"Medium", "[XYZ]ABCDEFGHIJKLMNOPQRSTUVWXYZ$"},
	{"Hard", "[ -~]*ABCDEFGHIJKLMNOPQRSTUVWXYZ$"},
	{"Hard1", "ABCD|CDEF|EFGH|GHIJ|IJKL|KLMN|MNOP|OPQR|QRST|STUV|UVWX|WXYZ"},
}

var benchSizes = []struct {
	name string
	n    int
}{
	{"16", 16},
	{"32", 32},
	{"1K", 1 << 10},

		"a\tb\t\td\n" + // hard tabs - do not discard column
			"a\tb\t\td\te\n" +
			"a\n" +
			"a\tb\tc\td\n" +
			"a\tb\tc\td\te\n",

		"a\tb\t\td\n" +
			"a\tb\t\td\te\n" +
			"a\n" +
			"a\tb\tc\td\n" +
			"a\tb\tc\td\te\n",
	},

	{
		"16c debug",
		100, 100, 0, '\t', DiscardEmptyColumns | Debug,
		"a\tb\t\td\n" + // hard tabs - do not discard column
			"a\tb\t\td\te\n" +

	//
	// hard-coded extra key/value
	// - key: "foo"
	//   valueExpression: "'bar'"
	// This will result in an extra attribute - foo: ["bar"]
	//
	// hard-coded key, value copying claim value
	// - key: "foo"
	//   valueExpression: "claims.some_claim"
	// This will result in an extra attribute - foo: [value of some_claim]
	//
	// hard-coded key, value derived from claim value