their input and output keys silently ignored and rewritten to 'inputs' and
    'outputs'. If a model was exported with different names before 1.2, and is
    now served with tensorflow/serving, it will accept requests using 'inputs'
    and 'outputs'. Starting at 1.2, such a model will accept the keys specified
    during export. Therefore, inference requests using 'inputs' and 'outputs'

   * (key) bits 'affects' a strictly smaller set of output bits. Funneling is bad because it can
   * result in more-than-ideal collisions for a non-uniformly distributed key space. In practice,
   * most key spaces are ANYTHING BUT uniformly distributed. A bit(i) in the input is said to
   * 'affect' a bit(j) in the output if two inputs, identical but for bit(i), will differ at output

/**
 * Tests for {@link HostAndPort}
 *
 * @author Paul Marks
 */
@GwtCompatible
@NullUnmarked
public class HostAndPortTest extends TestCase {

  public void testFromStringWellFormed() {
    // Well-formed inputs.
    checkFromStringCase("google.com", 80, "google.com", 80, false);
    checkFromStringCase("google.com", 80, "google.com", 80, false);
    checkFromStringCase("192.0.2.1", 82, "192.0.2.1", 82, false);

/**
 * Tests for {@link HostAndPort}
 *
 * @author Paul Marks
 */
@GwtCompatible
@NullUnmarked
public class HostAndPortTest extends TestCase {

  public void testFromStringWellFormed() {
    // Well-formed inputs.
    checkFromStringCase("google.com", 80, "google.com", 80, false);
    checkFromStringCase("google.com", 80, "google.com", 80, false);
    checkFromStringCase("192.0.2.1", 82, "192.0.2.1", 82, false);

	for i = range uint(8) {
		fi := FileInfo{
			TransitionTier:      inputs[0].tier,
			TransitionedObjName: inputs[0].remoteObjName,
			TransitionVersionID: inputs[0].remoteVersionID,
			TransitionStatus:    inputs[0].status,
		}
		ofi := fi
		if i&(1<<0) != 0 {
			ofi.TransitionTier = inputs[1].tier
		}
		if i&(1<<1) != 0 {
			ofi.TransitionedObjName = inputs[1].remoteObjName
		}
		if i&(1<<2) != 0 {

 * Converter.apply (like Converter.convert) is capable of accepting null inputs. However, a
 * supertype of `Function<A, B>` turns out to be massively more useful to callers in practice: They
 * want their output to be non-null in operations like `stream.map(myConverter)`, and we can
 * guarantee that as long as we also require the input type to be non-null[*] (which is a
 * requirement that existing callers already fulfill).
 *

                                    <label for="inputs" class="col-sm-3 text-sm-right col-form-label"><la:message
                                            key="labels.dict_synonym_source"/></label>
                                    <div class="col-sm-9">
                                        <la:errors property="inputs"/>
                                        <la:textarea styleId="inputs" property="inputs" rows="5"

  private static class Control extends AbstractNonStreamingHashFunction {
    @Override
    public HashCode hashBytes(byte[] input, int off, int len) {
      return HashCode.fromBytes(Arrays.copyOfRange(input, off, off + len));
    }

    @Override
    public int bits() {
      throw new UnsupportedOperationException();
    }
  }

@ExtendWith(MockitoExtension.class)
class CredentialsInternalTest {

    @Mock
    CIFSContext mockContext;

    /**
     * Simple in-test implementation of CredentialsInternal to exercise the API surface.
     * It validates inputs, records calls, and delegates some behavior to collaborators
     * so we can verify interactions.
     */
    static class TestCredentials implements CredentialsInternal {
        private final String domain;

aiz
ap
ar
apakš
ārpus
augšpus
bez
caur
dēļ
gar
iekš
iz
kopš
labad
lejpus
līdz
no
otrpus
pa
par
pār
pēc
pie
pirms
pret
priekš
starp
šaipus
uz
viņpus
virs
virspus
zem
apakšpus
# Conjunctions
un
bet
jo
ja
ka
lai
tomēr
tikko
turpretī
arī
kaut
gan
tādēļ
tā
ne
tikvien
vien
kā
ir
te
vai