}

            int indexOfEntryWithValue(V value) {
              for (int i = 0; i < orderedEntries.size(); i++) {
                if (equal(orderedEntries.get(i).getValue(), value)) {
                  return i;
                }
              }
              throw new IllegalArgumentException(
                  "Map.values generator can order only sample values");
            }
          });

    }

    @Test
    @DisplayName("Test decode with maximum field values")
    void testDecodeWithMaximumValues() throws SMBProtocolDecodingException {
        // Prepare test data with maximum values
        byte[] buffer = createValidBuffer("maxfile.txt", "MAXFIL~1.TXT", true);

        // Set maximum values
        SMBUtil.writeInt4(Integer.MAX_VALUE, buffer, 0); // nextEntryOffset

   * Padded variant of AtomicLong supporting only raw accesses plus CAS. The value field is placed
   * between pads, hoping that the JVM doesn't reorder them.
   *
   * <p>JVM intrinsics note: It would be possible to use a release-only form of CAS here, if it were
   * provided.
   */
  static final class Cell {
    volatile long p0, p1, p2, p3, p4, p5, p6;
    volatile long value;
    volatile long q0, q1, q2, q3, q4, q5, q6;

        }
      }
    }

    public static MaxCodePoint valueOf(String userFriendly) {
      return new MaxCodePoint(userFriendly);
    }

    public MaxCodePoint(String userFriendly) {
      value = decode(userFriendly);
    }
  }

  /**
   * The default values of maxCodePoint below provide pretty good performance models of different
   * kinds of common human text.
   *

            Map<String, Object> doc = result.getDocumentList().get(i);
            assertEquals(String.valueOf(i), doc.get("id"));
            assertEquals(i, doc.get("index"));
        }
    }

    public void test_toString() {
        // Test toString method
        Map<String, Object> doc = new HashMap<>();
        doc.put("key", "value");
        List<Map<String, Object>> documentList = new ArrayList<>();

     * @param value the data to associate with the key, may be {@code null} to remove the mapping
     */
    <T> void set(@Nonnull Key<T> key, @Nullable T value);

    /**
     * Associates the specified session data with the given key if the key is currently mapped to the given value. This
     * method provides an atomic compare-and-update of some key's value.
     *

      Class<@NonNull T> type, @ParametricNullness T value) {
    return cast(type, put(type, value));
  }

  @Override
  public <T extends @NonNull B> @Nullable T getInstance(Class<T> type) {
    return cast(type, get(type));
  }

  @CanIgnoreReturnValue
  private static <T> @Nullable T cast(Class<T> type, @Nullable Object value) {
    return Primitives.wrap(type).cast(value);
  }

    private Object writeReplace() {

///

## Duplicate headers { #duplicate-headers }

It is possible to receive duplicate headers. That means, the same header with multiple values.

You can define those cases using a list in the type declaration.

You will receive all the values from the duplicate header as a Python `list`.

For example, to declare a header of `X-Token` that can appear more than once, you can write:

    @Override
    public boolean contains(@Nullable Object object) {
      if (object instanceof Cell) {
        Cell<?, ?, ?> cell = (Cell<?, ?, ?>) object;
        Object value = RegularImmutableTable.this.get(cell.getRowKey(), cell.getColumnKey());
        return value != null && value.equals(cell.getValue());
      }
      return false;
    }

    @Override
    boolean isPartialView() {
      return false;
    }

     * The name of the label type.
     */
    @Required
    @Size(max = 100)
    public String name;

    /**
     * The value of the label type (alphanumeric and underscore only).
     */
    @Required
    @Size(max = 100)
    @Pattern(regexp = "^[a-zA-Z0-9_]+$")
    public String value;

    /**
     * The paths to include for this label type.
     */
    @CustomSize(maxKey = "form.admin.max.input.size")