if err != nil {
				err = msgp.WrapError(err)
				return
			}
		}
	}
	o = bts
	return
}

// Msgsize returns an upper bound estimate of the number of bytes occupied by the serialized message
func (z *SiteResyncStatus) Msgsize() (s int) {
	s = 1 + 2 + msgp.IntSize + 3 + z.Status.Msgsize() + 4 + msgp.StringPrefixSize + len(z.DeplID) + 5 + msgp.MapHeaderSize
	if z.BucketStatuses != nil {

			if err != nil {
				err = msgp.WrapError(err)
				return
			}
		}
	}
	o = bts
	return
}

// Msgsize returns an upper bound estimate of the number of bytes occupied by the serialized message
func (z *PartialOperation) Msgsize() (s int) {

            model = new Model(modelReader.read(sReader));
        } catch (XMLStreamException e) {
            throw new ModelInterpolationException(
                    "Cannot read project model from interpolating filter of serialized version.", e);
        }

        return model;
    }

    /**
     * Interpolates all expressions in the src parameter.
     * <p>
     * The algorithm used for each expression is:
     * <ul>

            This is mainly a hack for compatibility with SQLAlchemy objects, they
            store internal SQLAlchemy-specific state in attributes named with `_sa`,
            and those objects can't (and shouldn't be) serialized to JSON.
            """
        ),
    ] = True,
) -> Any:
    """
    Convert any object to something that can be encoded in JSON.

        assertFalse(user.refresh());
        assertEquals(1, user.getRefreshCount());
    }

    @Test
    public void test_serialization() {
        // Test that implementations can be serialized
        FessUser user = new TestFessUser("testuser", new String[] { "role1", "role2" }, new String[] { "group1", "group2" },
                new String[] { "perm1", "perm2" });

  virtual absl::Status AddDevices(
      std::vector<std::unique_ptr<Device>> devices) = 0;

  // Block until all pending nodes are finished.
  virtual absl::Status AsyncWait() = 0;

  // Add a function (serialized FunctionDef protocol buffer) so that it can
  // be executed as an op. Return error if the function with the same name
  // already exists.
  virtual absl::Status AddFunctionDef(const FunctionDef& fdef) = 0;

	failOnErr(xl.AddVersion(fi))

	fi.VersionID = mustGetUUID()
	fi.DataDir = mustGetUUID()
	fi.Data = data2
	failOnErr(xl.AddVersion(fi))

	serialized, err := xl.AppendTo(nil)
	failOnErr(err)
	// Roundtrip data
	var xl2 xlMetaV2
	failOnErr(xl2.Load(serialized))

	// We should have one data entry
	list, err := xl2.data.list()
	failOnErr(err)
	if len(list) != 2 {
		t.Fatalf("want 1 entry, got %d", len(list))

    Thread t2 = newStartedThread(c2);
    awaitTermination(t1);
    awaitTermination(t2);
    assertEquals(SIZE * COUNTDOWN, c1.counts + c2.counts);
  }

  /** a deserialized serialized array holds same values */
  public void testSerialization() throws Exception {
    AtomicDoubleArray x = new AtomicDoubleArray(SIZE);
    for (int i = 0; i < SIZE; i++) {
      x.set(i, (double) -i);
    }

come with the compiler are not designed to be used with untrusted data and
should be used with caution when working with untrusted models.

### Saved graphs and checkpoints

When loading untrusted serialized computation graphs (in form of a `GraphDef`,
`SavedModel`, or equivalent on-disk format), the set of computation primitives
available to TensorFlow is powerful enough that you should assume that the

import org.jspecify.annotations.Nullable;

/**
 * Collections of strategies of generating the k * log(M) bits required for an element to be mapped
 * to a BloomFilter of M bits and k hash functions. These strategies are part of the serialized form
 * of the Bloom filters that use them, thus they must be preserved as is (no updates allowed, only
 * introduction of new versions).
 *