}
		val, err := strconv.Atoi(elems[1])
		if err != nil {
			return fmt.Errorf("clause %q: malformed value: %v", clause, err)
		}
		adjValues[adj] = val
	}
	return nil
}

func adjValue(x scoreAdjustTyp) int {
	if val, ok := adjValues[x]; ok {
		return val
	} else {
		panic("internal error unregistered adjustment type")
	}
}

                arrayValueName, annotationValues.toArray(new AnnotationValue<?>[0]));
            annotation.addValue(value);
            arrayValueName = null;
        }
        annotation.addValues(annotationValues);
        annotationValues.clear();
        super.visitEnd();
    }

    private String nameOrValue(String name) {
        return name == null ? "value" : name;
    }

        return ImmutableSortedSet.copyOf(values);
    }

    public void addValue(AnnotationValue<?> value) {
        values.add(value);
    }

    public void addValues(Collection<AnnotationValue<?>> values) {
        this.values.addAll(values);
    }

    public boolean isVisible() {
        return visible;
    }

    protected ComparisonChain compare(AnnotationMember o) {

			}
		}
		value = append(value, count, size)
		return nil
	}

	if includeAlloc {
		if err := addValues(sampleData[3], sampleData[4], "allocation"); err != nil {
			return nil, 0, nil, err
		}
	}

	if err := addValues(sampleData[1], sampleData[2], "inuse"); err != nil {
		return nil, 0, nil, err
	}

	addrs, err = parseHexAddresses(sampleData[5])
	if err != nil {

      ) -> Mapping[str, core.Tensor]:
        k = array_ops.constant(4, dtype=dtypes.int32)
        values, indices = nn_ops.top_k(input_tensor, k, name='TopK')
        adj_values = values + 2
        return {'indices': indices, 'adj_values': adj_values, 'values': values}

      @def_function.function(
          input_signature=[
              tensor_spec.TensorSpec(