// We need to rewrite the `next` link of each of the elements so that it is in the appropriate
      // linked list starting from `newTable`. In general, each element from the old linked list
      // belongs to a different linked list from `newTable`. We insert each element in turn at the
      // head of its appropriate `newTable` linked list.
      while (oldNext != UNSET) {
        int entryIndex = oldNext - 1;

## Patching guidelines

Follow these steps to patch a specific version of TensorFlow, for example, to
apply fixes to bugs or security vulnerabilities:

*   Clone the TensorFlow repository and switch to the appropriate branch for
    your desired version—for example, `r2.8` for version 2.8.
*   Apply the desired changes (i.e., cherry-pick them) and resolve any code
    conflicts.
*   Run TensorFlow tests and ensure they pass.

        return bufferIndex - start;
    }

    /**
     * Creates a negotiate context response based on the context type.
     *
     * @param type the negotiate context type
     * @return the appropriate negotiate context response, or null if not recognized
     */
    protected static NegotiateContextResponse createContext(final int type) {
        switch (type) {
        case EncryptionNegotiateContext.NEGO_CTX_ENC_TYPE:

## About third party integrations { #about-third-party-integrations }

In this example we are using the OAuth2 "password" flow.

This is appropriate when we are logging in to our own application, probably with our own frontend.

Because we can trust it to receive the `username` and `password`, as we control it.

   * a no-op, and in some circumstances {@code this} itself is returned. However, if this instance
   * is a {@link #subArray} view of a larger array, this method will copy only the appropriate range
   * of values, resulting in an equivalent array with a smaller memory footprint.
   */
  public ImmutableLongArray trimmed() {
    return isPartialView() ? new ImmutableLongArray(toArray()) : this;
  }

         * the JDK against TypeVariables returned by TypeResolver. To work with all JDK versions,
         * TypeResolver must return the appropriate TypeVariable implementation in each of the three
         * possible cases:
         *
         * 1. Under Android, the built-in TypeVariable implementation interoperates with ours.

 *
 * @author Doug Lea
 * @author Justin T. Sampson
 * @param <E> the type of elements held in this collection
 */
// TODO(kak): consider removing some of the @CanIgnoreReturnValue annotations as appropriate
@NullUnmarked
public class MonitorBasedArrayBlockingQueue<E> extends AbstractQueue<E>
    implements BlockingQueue<E> {

  // Based on revision 1.58 of ArrayBlockingQueue by Doug Lea, from

   * a no-op, and in some circumstances {@code this} itself is returned. However, if this instance
   * is a {@link #subArray} view of a larger array, this method will copy only the appropriate range
   * of values, resulting in an equivalent array with a smaller memory footprint.
   */
  public ImmutableIntArray trimmed() {
    return isPartialView() ? new ImmutableIntArray(toArray()) : this;
  }

//
// `func` must not be null.
// If `grad` is null and `func` is not in `g`, `func` is added without a
// gradient.
// If `grad` is null and `func` is in `g`, TF_GraphCopyFunction is a noop.
// `grad` must have appropriate signature as described in the doc of
// GradientDef in tensorflow/core/framework/function.proto.
//
// If successful, status is set to OK and `func` and `grad` are added to `g`.

in any package in the program are concatenated and used at link time. All the
pkg-config directives are concatenated and sent to pkg-config simultaneously
to add to each appropriate set of command-line flags.

When the cgo directives are parsed, any occurrence of the string ${SRCDIR}
will be replaced by the absolute path to the directory containing the source