[]byte("short"),
		[]byte(strings.Repeat("a", 42)),
	}
	for _, input := range cloneTests {
		clone := Clone(input)
		if !Equal(clone, input) {
			t.Errorf("Clone(%q) = %q; want %q", input, clone, input)
		}

		if input == nil && clone != nil {
			t.Errorf("Clone(%#v) return value should be equal to nil slice.", input)
		}

		if input != nil && clone == nil {

        validate(form, messages -> {}, () -> asListHtml(form.dictId));
        stemmerOverrideService.getStemmerOverrideItem(form.dictId, form.id).ifPresent(entity -> {
            form.input = entity.getInput();
            form.output = entity.getOutput();
        }).orElse(() -> {
            throwValidationError(messages -> messages.addErrorsCrudCouldNotFindCrudTable(GLOBAL, form.getDisplayId()),

    SortedSet<String> input = Sets.newTreeSet(STRING_LENGTH);
    Collections.addAll(input, "in", "the", "quick", "jumped", "over", "a");
    SortedSet<String> set = copyOf(input);
    assertThat(set).containsExactly("a", "in", "jumped", "over", "quick", "the").inOrder();
  }

  public void testCopyOfSorted_natural_ordering() {

}

// Returns always a same erasure coded set for a given input.
func (s *erasureSets) getHashedSetIndex(input string) int {
	return hashKey(s.distributionAlgo, input, len(s.sets), s.deploymentID)
}

// Returns always a same erasure coded set for a given input.
func (s *erasureSets) getHashedSet(input string) (set *erasureObjects) {
	return s.sets[s.getHashedSetIndex(input)]
}

				<la:info id="msg" message="true">
					<div class="alert alert-info">${msg}</div>
				</la:info>
				<la:errors styleClass="list-unstyled"/>
			</div>
		</div>
	</main>
	<jsp:include page="../footer.jsp" />
	<input type="hidden" id="contextPath" value="${pageContext.request.contextPath}" />
	<script type="text/javascript"
		src="${fe:url('/js/jquery-3.7.1.min.js')}"></script>

				<la:info id="msg" message="true">
					<div class="alert alert-info">${msg}</div>
				</la:info>
				<la:errors styleClass="list-unstyled"/>
			</div>
		</div>
	</main>
	<jsp:include page="../footer.jsp" />
	<input type="hidden" id="contextPath" value="${pageContext.request.contextPath}" />
	<script type="text/javascript"
		src="${fe:url('/js/jquery-3.7.1.min.js')}"></script>

	diskCount := 0
	for _, disk := range disks {
		if disk == nil {
			continue
		}
		diskCount++
	}
	return diskCount
}

// hashOrder - hashes input key to return consistent
// hashed integer slice. Returned integer order is salted
// with an input key. This results in consistent order.
// NOTE: collisions are fine, we are not looking for uniqueness
// in the slices returned.

# Using TensorFlow Securely

This document discusses the TensorFlow security model. It describes the security
risks to consider when using models, checkpoints or input data for training or
serving. We also provide guidelines on what constitutes a vulnerability in
TensorFlow and how to report them.

This document applies to other repositories in the TensorFlow organization,
covering security practices for the entirety of the TensorFlow ecosystem.

	return b.Save(ctx, objectAPI)
}

// encrypt bucket metadata if kms is configured.
func encryptBucketMetadata(ctx context.Context, bucket string, input []byte, kmsContext kms.Context) (output, metabytes []byte, err error) {
	if GlobalKMS == nil {
		output = input
		return
	}

	metadata := make(map[string]string)
	key, err := GlobalKMS.GenerateKey(ctx, &kms.GenerateKeyRequest{AssociatedData: kmsContext})

            new Predicate<Field>() {
              @Override
              public boolean apply(Field input) {
                int modifiers = input.getModifiers();
                return isPublic(modifiers)
                    && isStatic(modifiers)
                    && isFinal(modifiers)
                    && MediaType.class.equals(input.getType());
              }
            });
  }

  @J2ktIncompatible