switch (strategy) {
            case ROUND_ROBIN:
                return selectRoundRobin(availableChannels);
                
            case LEAST_LOADED:
                return selectLeastLoaded(availableChannels);
                
            case WEIGHTED_RANDOM:
                return selectWeightedRandom(availableChannels);
                
            case AFFINITY_BASED:

// unmarshalV unmarshals with a specific header version.
func (x *xlMetaV2VersionHeader) unmarshalV(v uint8, bts []byte) (o []byte, err error) {
	switch v {
	case 1:
		return x.unmarshalV1(bts)
	case 2:
		x2 := xlMetaV2VersionHeaderV2{xlMetaV2VersionHeader: x}
		return x2.UnmarshalMsg(bts)
	case xlHeaderVersion:
		return x.UnmarshalMsg(bts)
	}
	return bts, fmt.Errorf("unknown xlHeaderVersion: %d", v)
}

import com.google.common.annotations.J2ktIncompatible;
import com.google.common.base.Joiner;
import com.google.common.base.Optional;
import com.google.common.base.Predicate;
import com.google.common.base.Splitter;
import com.google.common.collect.ImmutableList;
import com.google.common.collect.ImmutableSet;
import com.google.common.graph.SuccessorsFunction;
import com.google.common.graph.Traverser;

#### "Schema" { #schema }

A "schema" is a definition or description of something. Not the code that implements it, but just an abstract description.

#### API "schema" { #api-schema }

In this case, <a href="https://github.com/OAI/OpenAPI-Specification" class="external-link" target="_blank">OpenAPI</a> is a specification that dictates how to define a schema of your API.

  ) {
    val latch = CountDownLatch(1)
    val startNanos = AtomicLong()
    newWebSocket(
      "/runCase?case=$number&agent=okhttp",
      object : WebSocketListener() {
        override fun onOpen(
          webSocket: WebSocket,
          response: Response,
        ) {
          println("Executing test case $number/$count")
          startNanos.set(System.nanoTime())
        }

        override fun onMessage(

        }

        switch (preference.toLowerCase()) {
        case "disni":
            RdmaProvider disniProvider = new DisniRdmaProvider();
            if (disniProvider.isAvailable()) {
                return disniProvider;
            }
            log.warn("DiSNI RDMA provider requested but not available");
            break;

        case "tcp":
            return new TcpRdmaProvider();

        default:

     * The returned list of versions is only dependent on the configured repositories and their contents.
     * The supplied request may also refer to a single concrete version rather than a version range.
     * In this case though, the result contains simply the (parsed) input version, regardless of the
     * repositories and their contents.
     *
     * @param session the session to use
     * @param artifactCoordinates t

This way, you don't have to know beforehand what the valid field/attribute names are (as would be the case with Pydantic models).

This would be useful if you want to receive keys that you don't already know.

---

Another useful case is when you want to have keys of another type (e.g., `int`).

That's what we are going to see here.

In this case, you would accept any `dict` as long as it has `int` keys with `float` values:

                }
                return switch (configType) {
                case WEB -> {
                    final WebConfigService webConfigService = ComponentUtil.getComponent(WebConfigService.class);
                    yield webConfigService.getWebConfig(id).get();
                }
                case FILE -> {

 */

package com.google.common.util.concurrent;

import static com.google.common.base.Functions.constant;
import static com.google.common.base.MoreObjects.toStringHelper;
import static com.google.common.base.Preconditions.checkArgument;
import static com.google.common.base.Preconditions.checkNotNull;
import static com.google.common.base.Preconditions.checkState;
import static com.google.common.collect.Lists.asList;