*
 * When multiple Android builds run in parallel and share the same `ANDROID_HOME`, the Android Gradle Plugin
 * may attempt to download and install SDK components (platforms, build-tools, platform-tools) simultaneously.
 * This can cause race conditions leading to:
 * - `FileAlreadyExistsException` when extracting files
 * - Corrupted installations (e.g., "Build-tool X has corrupt source.properties")

    }

  /**
   * Holding the lock of the connection being added or removed when mutating this, and check its
   * [RealConnection.noNewExchanges] property. This defends against races where a connection is
   * simultaneously adopted and removed.
   */
  private val connections = ConcurrentLinkedQueue<RealConnection>()

  init {
    // Put a floor on the keep alive duration, otherwise cleanup will spin loop.

  @GwtIncompatible // NullPointerTester
  public void testNullPointers() {
    /*
     * Don't bother testing: Preconditions defines a bunch of methods that accept a template (or
     * even entire message) that simultaneously:
     *
     * - _shouldn't_ be null, so we don't annotate it with @Nullable
     *
     * - _can_ be null without causing a runtime failure (because we don't want the interesting

  var idleAtNs = Long.MAX_VALUE

  /**
   * Returns true if this is an HTTP/2 connection. Such connections can be used in multiple HTTP
   * requests simultaneously.
   */
  internal val isMultiplexed: Boolean
    get() = http2Connection != null

  /** Prevent further exchanges from being created on this connection. */
  override fun noNewExchanges() {
    withLock {

state.

This is a slower operation that does not use replication queues and is designed to walk the namespace and replicate objects one at a time so as not to impede server load. Ideally, resync should not be initiated for multiple buckets simultaneously - progress of the syncing can be monitored by looking at `mc replicate resync status alias/bucket --remote-bucket <arn>`. In the event that resync operation failed to replicate some versions, they would be picked up by the healing mechanism in-built...

Use an HTTP POST to send a request body to a service. This example posts a markdown document to a web service that renders markdown as HTML. Because the entire request body is in memory simultaneously, avoid posting large (greater than 1 MiB) documents using this API.

=== ":material-language-kotlin: Kotlin"
    ```kotlin
      private val client = OkHttpClient()

      fun run() {

 * Since connections may be reused, the proxy selection, DNS, and connect events may not be present
 * for a call. In future releases of OkHttp these events may also occur concurrently to permit
 * multiple routes to be attempted simultaneously.
 *
 * Events and sequences of events may be repeated for retries and follow-ups.
 *
 * All event methods must execute fast, without external locking, cannot throw exceptions, attempt

   * The reason why this stream was closed, or null if it closed normally or has not yet been
   * closed.
   *
   * If there are multiple reasons to abnormally close this stream (such as both peers closing it
   * near-simultaneously) then this is the first reason known to this peer.
   */
  internal var errorCode: ErrorCode? = null
    get() = withLock { field }

  /** The exception that explains [errorCode]. Null if no exception was provided. */

				delete(deleteMarkerCountMap, lastDel.Name)
			}
		}
		// send down filtered entries to be deleted using
		// DeleteObjects method
		if len(toDel) > 10 { // batch up to 10 objects/versions to be expired simultaneously.
			xfer := make([]expireObjInfo, len(toDel))
			copy(xfer, toDel)
			select {
			case expireCh <- xfer:
				toDel = toDel[:0] // resetting toDel
			case <-ctx.Done():
				done = true
			}
		}

reads of a variable in one goroutine can be guaranteed to
observe values produced by writes to the same variable in a different goroutine.
</p>


<h3 id="advice">Advice</h3>

<p>
Programs that modify data being simultaneously accessed by multiple goroutines
must serialize such access.
</p>

<p>
To serialize access, protect the data with channel operations or other synchronization primitives