}

  /**
   * Returns a {@code Collector} that accumulates elements into an {@code ImmutableTable}. Each
   * input element is mapped to one cell in the returned table, with the rows, columns, and values
   * generated by applying the specified functions. If multiple inputs are mapped to the same row
   * and column pair, they will be combined with the specified merging function in encounter order.
   *

    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'

  // existing and given constraints will be performed.
  virtual absl::Status SetDeviceName(const char* name) = 0;

  virtual absl::Status AddInput(AbstractTensorHandle* input) = 0;
  virtual absl::Status AddInputList(
      absl::Span<AbstractTensorHandle* const> inputs) = 0;
  virtual absl::Status Execute(absl::Span<AbstractTensorHandle*> retvals,
                               int* num_retvals) = 0;

   * (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

                                                        data-href="${contextPath}/admin/dict/synonym/details/${f:u(dictId)}/4/${f:u(data.id)}">
                                                    <td>${f:h(data.inputs)}</td>
                                                    <td>${f:h(data.outputs)}</td>
                                                </tr>
                                            </c:forEach>

            assertEquals("smb://server/share/path/filetxt", loc.getCanonicalURL());
            assertFalse(loc.isRoot());
        }
    }

    @Nested
    @DisplayName("Invalid inputs and edge cases")
    class Invalid {
        @Test
        void nullUrlThrows() {
            assertThrows(IllegalArgumentException.class, () -> new DummySmbResourceLocator(null));
        }

        @Test

  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();
    }
  }

/**
 * 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);

@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;

```json
{
    "detail": [
        {
            "type": "extra_forbidden",
            "loc": ["cookie", "santa_tracker"],
            "msg": "Extra inputs are not permitted",
            "input": "good-list-please",
        }
    ]
}
```

## まとめ { #summary }