Public Member Functions
	HDFArray (Object anArray) throws HDF5JavaException

byte[]	emptyBytes () throws HDF5JavaException

byte[]	byteify () throws HDF5JavaException

Object	arrayify (byte[] bytes) throws HDF5JavaException

Constructor & Destructor Documentation

◆ HDFArray()

HDFArray ( Object anArray ) throws HDF5JavaException

The input must be a Java Array (possibly multidimensional) of primitive numbers or sub-classes of Number.

The input is analysed to determine the number of dimensions and size of each dimension, as well as the type of the elements.

The description is saved in private variables, and used to convert data.

Parameters

anArray The array object.

Exceptions

hdf.hdf5lib.exceptions.HDF5JavaException object is not an array.

Object arrayify ( byte[] bytes ) throws HDF5JavaException

Given a one-dimensional array of bytes representing numbers, convert it to a java array of the shape and size passed to the constructor.

Parameters

bytes The bytes to construct the Array.

Returns: An Array (possibly multidimensional) of primitive or number objects.

Exceptions

hdf.hdf5lib.exceptions.HDF5JavaException the object not an array or other internal error.

byte[] byteify ( ) throws HDF5JavaException

Given a Java array of numbers, convert it to a one-dimensional array of bytes in correct native order.

Returns: A one-D array of bytes, constructed from the Array passed to the constructor.

Exceptions

hdf.hdf5lib.exceptions.HDF5JavaException the object not an array or other internal error.

byte[] emptyBytes ( ) throws HDF5JavaException

Allocate a one-dimensional array of bytes sufficient to store the array.

Returns: A one-D array of bytes, filled with zeroes. The bytes are sufficient to hold the data of the Array passed to the constructor.

Exceptions

hdf.hdf5lib.exceptions.HDF5JavaException Allocation failed.

The documentation for this class was generated from the following file: