* in the manner of {@link Number#longValue}.
   *
   * <p>Elements are copied from the argument collection as if by {@code collection.toArray()}.
   * Calling this method is as thread-safe as calling that method.
   *
   * @param collection a collection of {@code Number} instances
   * @return an array containing the same values as {@code collection}, in the same order, converted

 * percentiles together takes about 55% as long as computing them separately.
 *
 * <p>When calling {@link ScaleAndIndex#compute} (in {@linkplain ScaleAndIndexes#compute either
 * form}), the memory requirement is 8*N bytes for the copy of the dataset plus an overhead which is
 * independent of N (but depends on the quantiles being computed). When calling {@link
 * ScaleAndIndex#computeInPlace computeInPlace} (in {@linkplain ScaleAndIndexes#computeInPlace

  @Nullable V put(
      @ParametricNullness R rowKey, @ParametricNullness C columnKey, @ParametricNullness V value);

  /**
   * Copies all mappings from the specified table to this table. The effect is equivalent to calling
   * {@link #put} with each row key / column key / value mapping in {@code table}.
   *
   * @param table the table to add to this table
   */
  void putAll(Table<? extends R, ? extends C, ? extends V> table);

//     in `input_shapes`.
//
// The results are returned in `output_shapes` and
// `output_resource_shapes_and_types`. The caller is responsible for freeing the
// memory in these buffers by calling `TF_DeleteShapeAndTypeList`.
TF_CAPI_EXPORT extern void TFE_InferShapes(
    TFE_Op* op, TF_ShapeAndTypeList* input_shapes, TF_Tensor** input_tensors,
    TF_ShapeAndTypeList* input_tensor_as_shapes,

     * even entire message) that simultaneously:
     *
     * - _shouldn't_ be null, so we don't annotate it with @Nullable
     *
     * - _can_ be null without causing a runtime failure (because we don't want the interesting
     *   details of precondition failure to be hidden by an exception we throw about an unexpectedly
     *   null _failure message_)
     *

      LinkedHashMultimap<String, Integer>.ValueSet valueSet =
          (LinkedHashMultimap.ValueSet) multimap.backingMap().get("a");
      assertEquals(z, valueSet.size());
      assertFalse(
          Hashing.needsResizing(
              valueSet.size(),
              valueSet.hashTable.length,
              LinkedHashMultimap.VALUE_SET_LOAD_FACTOR));
    }
  }

}

func errUnsupportedCast(fromType, toType string) error {
	return fmt.Errorf("Cannot cast from %v to %v", fromType, toType)
}

func errCastFailure(msg string) error {
	return fmt.Errorf("Error casting: %s", msg)
}

// Allowed cast types
const (
	castBool      = "BOOL"
	castInt       = "INT"
	castInteger   = "INTEGER"
	castString    = "STRING"
	castFloat     = "FLOAT"
	castDecimal   = "DECIMAL"

	_         int32 // For 64 bits alignment
	lastConn  int64

	// HealthCheckFn is the function set to test for health.
	// If not set the client will not keep track of health.
	// Calling this returns true or false if the target
	// is online or offline.
	HealthCheckFn func() bool

	// HealthCheckRetryUnit will be used to calculate the exponential
	// backoff when trying to reconnect to an offline node

   *
   * <p>Implementations should be collections of pure functions (i.e. stateless).
   */
  interface Strategy extends Serializable {

    /**
     * Sets {@code numHashFunctions} bits of the given bit array, by hashing a user element.
     *
     * <p>Returns whether any bits changed as a result of this operation.
     */
    <T extends @Nullable Object> boolean put(
        @ParametricNullness T object,

   * value in the manner of {@link Number#doubleValue}.
   *
   * <p>Elements are copied from the argument collection as if by {@code collection.toArray()}.
   * Calling this method is as thread-safe as calling that method.
   *
   * @param collection a collection of {@code Number} instances
   * @return an array containing the same values as {@code collection}, in the same order, converted