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author | Allen Byrne <byrn@hdfgroup.org> | 2016-02-29 02:43:00 (GMT) |
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committer | Allen Byrne <byrn@hdfgroup.org> | 2016-02-29 02:43:00 (GMT) |
commit | 63249be0e10a8726acb5a7cf64491319eaa46227 (patch) | |
tree | ebb2b75ece8852e8a58804631c0004f06a9bba9f /java/examples/datatypes/H5Ex_T_Integer.java | |
parent | a1617b7cdbe14173fcf690b4627059fa4528c19b (diff) | |
download | hdf5-63249be0e10a8726acb5a7cf64491319eaa46227.zip hdf5-63249be0e10a8726acb5a7cf64491319eaa46227.tar.gz hdf5-63249be0e10a8726acb5a7cf64491319eaa46227.tar.bz2 |
[svn-r29226] HDFFV-9552: merge in java code.
Diffstat (limited to 'java/examples/datatypes/H5Ex_T_Integer.java')
-rw-r--r-- | java/examples/datatypes/H5Ex_T_Integer.java | 226 |
1 files changed, 226 insertions, 0 deletions
diff --git a/java/examples/datatypes/H5Ex_T_Integer.java b/java/examples/datatypes/H5Ex_T_Integer.java new file mode 100644 index 0000000..2f365cd --- /dev/null +++ b/java/examples/datatypes/H5Ex_T_Integer.java @@ -0,0 +1,226 @@ +/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * + * Copyright by The HDF Group. * + * Copyright by the Board of Trustees of the University of Illinois. * + * All rights reserved. * + * * + * This file is part of HDF5. The full HDF5 copyright notice, including * + * terms governing use, modification, and redistribution, is contained in * + * the files COPYING and Copyright.html. COPYING can be found at the root * + * of the source code distribution tree; Copyright.html can be found at the * + * root level of an installed copy of the electronic HDF5 document set and * + * is linked from the top-level documents page. It can also be found at * + * http://hdfgroup.org/HDF5/doc/Copyright.html. If you do not have * + * access to either file, you may request a copy from help@hdfgroup.org. * + * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */ + +/************************************************************ + This example shows how to read and write integer datatypes + to a dataset. The program first writes integers to a + dataset with a dataspace of DIM0xDIM1, then closes the + file. Next, it reopens the file, reads back the data, and + outputs it to the screen. + ************************************************************/ + +package examples.datatypes; + +import java.text.DecimalFormat; + +import hdf.hdf5lib.H5; +import hdf.hdf5lib.HDF5Constants; + +public class H5Ex_T_Integer { + private static String FILENAME = "H5Ex_T_Integer.h5"; + private static String DATASETNAME = "DS1"; + private static final int DIM0 = 4; + private static final int DIM1 = 7; + private static final int RANK = 2; + + private static void CreateDataset() { + long file_id = -1; + long dataspace_id = -1; + long dataset_id = -1; + long[] dims = { DIM0, DIM1 }; + int[][] dset_data = new int[DIM0][DIM1]; + + // Initialize data. + for (int indx = 0; indx < DIM0; indx++) + for (int jndx = 0; jndx < DIM1; jndx++) { + dset_data[indx][jndx] = indx * jndx - jndx; + } + + // Create a new file using default properties. + try { + file_id = H5.H5Fcreate(FILENAME, HDF5Constants.H5F_ACC_TRUNC, HDF5Constants.H5P_DEFAULT, + HDF5Constants.H5P_DEFAULT); + } + catch (Exception e) { + e.printStackTrace(); + } + + // Create dataspace. Setting maximum size to NULL sets the maximum + // size to be the current size. + try { + dataspace_id = H5.H5Screate_simple(RANK, dims, null); + } + catch (Exception e) { + e.printStackTrace(); + } + + // Create the dataset and write the integer data to it. In this + // example we will save the data as 64 bit big endian integers, + // regardless of the native integer type. The HDF5 library + // automatically converts between different integer types. + try { + if ((file_id >= 0) && (dataspace_id >= 0)) + dataset_id = H5.H5Dcreate(file_id, DATASETNAME, HDF5Constants.H5T_STD_I64BE, dataspace_id, + HDF5Constants.H5P_DEFAULT, HDF5Constants.H5P_DEFAULT, HDF5Constants.H5P_DEFAULT); + } + catch (Exception e) { + e.printStackTrace(); + } + + // Write the data to the dataset. + try { + if (dataset_id >= 0) + H5.H5Dwrite(dataset_id, HDF5Constants.H5T_NATIVE_INT, HDF5Constants.H5S_ALL, HDF5Constants.H5S_ALL, + HDF5Constants.H5P_DEFAULT, dset_data); + } + catch (Exception e) { + e.printStackTrace(); + } + + // End access to the dataset and release resources used by it. + try { + if (dataset_id >= 0) + H5.H5Dclose(dataset_id); + } + catch (Exception e) { + e.printStackTrace(); + } + + // Terminate access to the data space. + try { + if (dataspace_id >= 0) + H5.H5Sclose(dataspace_id); + } + catch (Exception e) { + e.printStackTrace(); + } + + // Close the file. + try { + if (file_id >= 0) + H5.H5Fclose(file_id); + } + catch (Exception e) { + e.printStackTrace(); + } + + } + + private static void ReadDataset() { + long file_id = -1; + long dataspace_id = -1; + long dataset_id = -1; + long[] dims = { DIM0, DIM1 }; + int[][] dset_data; + + // Open an existing file. + try { + file_id = H5.H5Fopen(FILENAME, HDF5Constants.H5F_ACC_RDONLY, HDF5Constants.H5P_DEFAULT); + } + catch (Exception e) { + e.printStackTrace(); + } + + // Open an existing dataset. + try { + if (file_id >= 0) + dataset_id = H5.H5Dopen(file_id, DATASETNAME, HDF5Constants.H5P_DEFAULT); + } + catch (Exception e) { + e.printStackTrace(); + } + + // Get dataspace and allocate memory for read buffer. + try { + if (dataset_id >= 0) + dataspace_id = H5.H5Dget_space(dataset_id); + } + catch (Exception e) { + e.printStackTrace(); + } + + try { + if (dataspace_id >= 0) + H5.H5Sget_simple_extent_dims(dataspace_id, dims, null); + } + catch (Exception e) { + e.printStackTrace(); + } + + // Allocate array of pointers to two-dimensional arrays (the + // elements of the dataset. + dset_data = new int[(int) dims[0]][(int) (dims[1])]; + + // Read data. + try { + if (dataset_id >= 0) + H5.H5Dread(dataset_id, HDF5Constants.H5T_NATIVE_INT, HDF5Constants.H5S_ALL, HDF5Constants.H5S_ALL, + HDF5Constants.H5P_DEFAULT, dset_data); + } + catch (Exception e) { + e.printStackTrace(); + } + + // Output the data to the screen. + DecimalFormat df = new DecimalFormat("#,##0"); + System.out.println(DATASETNAME + ":"); + for (int indx = 0; indx < dims[0]; indx++) { + System.out.print(" ["); + for (int jndx = 0; jndx < dims[1]; jndx++) { + System.out.print(" " + df.format(dset_data[indx][jndx])); + } + System.out.println("]"); + } + System.out.println(); + + // End access to the dataset and release resources used by it. + try { + if (dataset_id >= 0) + H5.H5Dclose(dataset_id); + } + catch (Exception e) { + e.printStackTrace(); + } + + // Terminate access to the data space. + try { + if (dataspace_id >= 0) + H5.H5Sclose(dataspace_id); + } + catch (Exception e) { + e.printStackTrace(); + } + + // Close the file. + try { + if (file_id >= 0) + H5.H5Fclose(file_id); + } + catch (Exception e) { + e.printStackTrace(); + } + + } + + public static void main(String[] args) { + H5Ex_T_Integer.CreateDataset(); + // Now we begin the read section of this example. Here we assume + // the dataset and array have the same name and rank, but can have + // any size. Therefore we must allocate a new array to read in + // data using malloc(). + H5Ex_T_Integer.ReadDataset(); + } + +} |