switch fn {
	case aggFnAvg, aggFnSum:
		return &aggVal{runningSum: FromFloat(0)}
	case aggFnMin:
		return &aggVal{runningMin: FromInt(0)}
	case aggFnMax:
		return &aggVal{runningMax: FromInt(0)}
	default:
		return &aggVal{}
	}
}

// evalAggregationNode - performs partial computation using the
// current row and stores the result.
//
// On success, it returns (nil, nil).

   * byte written, {@code bytes.limit() - 1} is the last. The position of the buffer will be equal
   * to the limit when this method returns.
   *
   * @param bytes a byte buffer
   * @return this instance
   * @since 23.0
   */
  @CanIgnoreReturnValue
  PrimitiveSink putBytes(ByteBuffer bytes);

  /** Puts a short into this sink. */
  @CanIgnoreReturnValue

        byte[] a = new byte[n];
        for (int i = 0; i < n; i++) {
            a[i] = (byte) i;
        }
        return a;
    }

    @ParameterizedTest
    @MethodSource("byteEncodableArgs")
    @DisplayName("encode() copies bytes correctly and returns size")
    void encodeCopiesAndReportsSize(byte[] src, int off, int len, int dstIndex) {
        Encodable enc = new ByteEncodable(src, off, len);

        "toArray(sameSizeE[]) should return the given array", array, collection.toArray(array));
    expectArrayContentsAnyOrder(createSamplesArray(), array);
  }

  @CollectionFeature.Require(KNOWN_ORDER)
  public void testToArray_rightSizedArray_ordered() {
    E[] array = getSubjectGenerator().createArray(getNumElements());
    assertSame(
        "toArray(sameSizeE[]) should return the given array", array, collection.toArray(array));

      this.value = checkNotNull(value, "value");
    }

    @Override
    public R getRowKey() {
      return row;
    }

    @Override
    public C getColumnKey() {
      return column;
    }

    @Override
    public V getValue() {
      return value;
    }

    void merge(V value, BinaryOperator<V> mergeFunction) {
      checkNotNull(value, "value");

                  tensorflow::AttrValue* attr_value, TF_Status* s);

// Returns a sorted vector of std::pair<function_name, gradient_func> from
// graph_def.library().gradient()
std::vector<std::pair<string, string>> GetGradDefs(
    const tensorflow::GraphDef& graph_def);

// Returns a sorted vector of names contained in `grad_def`
std::vector<string> GetFuncNames(const tensorflow::GraphDef& graph_def);

        Supplier<Map<Object, Object>> mutableSupplier) {
      return keys -> {
        Map<Object, Object> map = mutableSupplier.get();
        for (Object key : keys) {
          map.put(key, new Object());
        }
        return map;
      };
    }

    static Construction<Set<Object>> setFromElements(Supplier<Set<Object>> mutableSupplier) {
      return elements -> {
        Set<Object> set = mutableSupplier.get();

}

// updateCacheEntry will update a cache.
// Returns the updated status.
func (b *bucketMetacache) updateCacheEntry(update metacache) (metacache, error) {
	b.mu.Lock()
	defer b.mu.Unlock()
	existing, ok := b.caches[update.id]
	if !ok {
		return update, errFileNotFound
	}
	existing.update(update)
	b.caches[update.id] = existing
	b.updated = true
	return existing, nil
}

     * @return the data store instance if found, null if not found or name is null
     */
    public DataStore getDataStore(final String name) {
        if (name == null) {
            return null;
        }
        return dataStoreMap.get(name.toLowerCase(Locale.ROOT));
    }

    /**
     * Returns an array of available data store names discovered from plugin JAR files.

        listOf(addresses[0])
      }

    private operator fun Throwable?.plus(throwable: Throwable): Throwable {
      if (this != null) {
        addSuppressed(throwable)
        return this
      }
      return throwable
    }
  }