// Seed (random)
	crc := uint64(0xc2b40bbac11a7295)
	// Xor each value to make order independent
	for k, v := range m {
		// Separate key and value with an individual xor with a random number.
		// Add values of each, so they cannot be trivially collided.
		crc ^= (xxh3.HashString(k) ^ 0x4ee3bbaf7ab2506b) + (xxh3.HashString(v) ^ 0x8da4c8da66194257)
	}
	return crc
}

                if (next == null) {
                    break;
                } else {
                    inSection.clear();
                    inSection.add(next);
                    heading = next;
                }
            } else {
                inSection.add(next);
            }
            next = next.nextElementSibling();
        }
    }

    private void wrapContentInContainer(Document document) {

   * called more than once to add features in multiple groups.
   */
  @CanIgnoreReturnValue
  public B withFeatures(Feature<?>... features) {
    return withFeatures(asList(features));
  }

  @CanIgnoreReturnValue
  public B withFeatures(Iterable<? extends Feature<?>> features) {
    for (Feature<?> feature : features) {
      this.features.add(feature);
    }
    return self();
  }

import jcifs.smb1.ntlmssp.Type3Message;
import jcifs.smb1.util.Encdec;
import jcifs.smb1.util.Hexdump;
import jcifs.smb1.util.LogStream;

/**
For initiating NTLM authentication (including NTLMv2). If you want to add NTLMv2 authentication support to something this is what you want to use. See the code for details. Note that JCIFS does not implement the acceptor side of NTLM authentication.
 */

public class NtlmContext {

                      absl::Span<AbstractTensorHandle* const> inputs,
                      absl::Span<AbstractTensorHandle*> outputs) {
  return ops::Mul(ctx, inputs[0], inputs[1], &outputs[0], "Mul");
}

// TODO(vnvo2409): Add more tests from `python/ops/gradient_checker_v2_test.py`.
// These tests should not be confused with `[*]_grad_test` which compare the
// result of `gradient_checker` and `[*]_grad`. The tests here test the

					parent = *next
				}
				if !foundAny {
					// Add non-compacted empty entry.
					f.updateCache.replaceHashed(h, &thisHash, dataUsageEntry{})
				}
			}
			f.updateCurrentPath(folder.name)
			stopFn := globalScannerMetrics.log(scannerMetricScanFolder, f.root, folder.name)
			scanFolder(folder)
			stopFn(map[string]string{"type": "new"})

			// Add new folders if this is new and we don't have existing.

    if (predicate == null) {
      throw new IllegalArgumentException(
          expectedThrowable
              + " is not yet supported by ReflectionFreeAssertThrows. Add an entry for it in the"
              + " map in that class.");
    }
    Object result;
    try {
      result = supplier.get();
    } catch (Throwable t) {
      if (predicate.apply(t)) {

          do not modify the License. You may add Your own attribution
          notices within Derivative Works that You distribute, alongside
          or as an addendum to the NOTICE text from the Work, provided
          that such additional attribution notices cannot be construed
          as modifying the License.

      You may add Your own copyright statement to Your modifications and

            .expireAfterWrite(1000, MILLISECONDS)
            .removalListener(countingListener)
            .ticker(fakeTicker)
            .maximumSize(2)
            .build();

    // Add more than two elements to increment size removals.
    cache.put(3, 20);
    cache.put(6, 2);
    cache.put(98, 45);
    cache.put(56, 76);
    cache.put(23, 84);

    // Replace the two present elements.

    cat <<EOF
One or more test dependencies are not in the pip package.
If these test dependencies need to be in the TensorFlow pip package, please
add them to //tensorflow/tools/pip_package/BUILD. Otherwise, add the no_pip tag
to the test, or change code_check_full.bats in the SIG Build repository. That's