private final ReentrantLock lock;

  /**
   * The guards associated with this monitor that currently have waiters ({@code waiterCount > 0}).
   * A linked list threaded through the Guard.next field.
   */
  @GuardedBy("lock")
  private @Nullable Guard activeGuards = null;

  /**
   * Creates a monitor with a non-fair (but fast) ordering policy. Equivalent to {@code
   * Monitor(false)}.
   */

Another big feature needed by APIs is data validation, making sure that the data is valid, given certain parameters. For example, that some field is an `int`, and not some random string. This is especially useful for incoming data.

Without a data validation system, you would have to do all the checks by hand, in code.

        lock.lock();
        try {
          /*
           * requireNonNull is safe because Task isn't run (or at least it doesn't succeed in taking
           * the lock) until after it's scheduled and the runningTask field is set.
           */
          if (requireNonNull(runningTask).isCancelled()) {
            // task may have been cancelled while blocked on the lock.
            return;
          }

      if (builder.client) {
        set(Settings.INITIAL_WINDOW_SIZE, OKHTTP_CLIENT_WINDOW_SIZE)
      }
    }

  /**
   * Settings we receive from the peer. Changes to the field are guarded by this. The instance is
   * never mutated once it has been assigned.
   */
  var peerSettings = DEFAULT_SETTINGS

  /** The bytes consumed and acknowledged by the application. */

			continue
		}

		// In accordance with https://docs.aws.amazon.com/AmazonS3/latest/API/RESTObjectPOST.html
		// The file or text content.
		// The file or text content must be the last field in the form.
		// You cannot upload more than one file at a time.
		reader = part

		possibleShardSize := (r.ContentLength - headerLen)

* **Machine Learning**: it normally requires lots of "matrix" and "vector" multiplications. Think of a huge spreadsheet with numbers and multiplying all of them together at the same time.
* **Deep Learning**: this is a sub-field of Machine Learning, so, the same applies. It's just that there is not a single spreadsheet of numbers to multiply, but a huge set of them, and in many cases, you use a special processor to build and / or use those models.

        "protocols doesn't contain http/1.1: $protocolList"
      }
      require(null !in protocolList as List<Protocol?>) { "protocols must not contain null" }
      field = protocolList
    }

  public val started: Boolean
    get() = socketAddress_ != null

  /**
   * Returns a URL for connecting to this server.
   *
   * @param path the request path, such as "/".

import com.google.errorprone.annotations.CanIgnoreReturnValue;
import com.google.errorprone.annotations.Keep;
import java.io.Serializable;
import java.lang.reflect.Constructor;
import java.lang.reflect.Field;
import java.lang.reflect.GenericArrayType;
import java.lang.reflect.Method;
import java.lang.reflect.ParameterizedType;
import java.lang.reflect.Type;
import java.lang.reflect.TypeVariable;

    parameter only, like `request.tag<MyTagClass>()`.
 *  New: MockWebServer has improved support for HTTP/1xx responses. Once you've migrated to the new
    `mockwebserver3` package, there's a new field, `MockResponse.informationalResponses`.
 *  Fix: Don't interpret trailers as headers after an HTTP/100 response. This was a bug only when
    the HTTP response body itself is empty.

    checkEntry(entry1, "custom-bar", "custom-header", 55)
    val entry2 = hpackReader!!.dynamicTable[readerHeaderTableLength() - 2]!!
    checkEntry(entry2, "custom-baz", "custom-header", 55)

    // Once a header field is decoded and added to the reconstructed header
    // list, it cannot be removed from it. Hence, foo is here.
    assertThat(hpackReader!!.getAndResetHeaderList()).isEqualTo(headerBlock)