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 *WalkDirOptions) Msgsize() (s int) {

            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.

			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>

  }

  public void testSerialization_empty() {
    Collection<String> c = ImmutableSortedMultiset.of();
    assertSame(c, SerializableTester.reserialize(c));
  }

  public void testSerialization_multiple() {
    Collection<String> c = ImmutableSortedMultiset.of("a", "b", "a");
    Collection<String> copy = SerializableTester.reserializeAndAssert(c);

import static com.google.common.collect.Maps.immutableEntry;
import static com.google.common.collect.ReflectionFreeAssertThrows.assertThrows;
import static com.google.common.testing.SerializableTester.reserialize;
import static com.google.common.truth.Truth.assertThat;
import static com.google.common.truth.Truth.assertWithMessage;
import static java.util.Arrays.asList;
import static java.util.Collections.singletonMap;

    // Write out all elements in the proper order.
    for (int i = 0; i < length; i++) {
      s.writeDouble(get(i));
    }
  }

  /** Reconstitutes the instance from a stream (that is, deserializes it). */
  private void readObject(ObjectInputStream s) throws IOException, ClassNotFoundException {
    s.defaultReadObject();

    int length = s.readInt();

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).
 *

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

	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))