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author | Frank Baker <fbaker@hdfgroup.org> | 2001-02-09 15:39:35 (GMT) |
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committer | Frank Baker <fbaker@hdfgroup.org> | 2001-02-09 15:39:35 (GMT) |
commit | c744e18bbe0b593adee32d07d3e36e0bee0c9219 (patch) | |
tree | 32a6cd9e11675650cdbf090e043e544f5ba2cb10 /doc | |
parent | e11bd841c2789d1eccd3a1ad3f1292d9184146a8 (diff) | |
download | hdf5-c744e18bbe0b593adee32d07d3e36e0bee0c9219.zip hdf5-c744e18bbe0b593adee32d07d3e36e0bee0c9219.tar.gz hdf5-c744e18bbe0b593adee32d07d3e36e0bee0c9219.tar.bz2 |
[svn-r3381]
Purpose:
Added array datatype class section.
Platforms tested:
IE 5
Diffstat (limited to 'doc')
-rw-r--r-- | doc/html/Datatypes.html | 220 |
1 files changed, 216 insertions, 4 deletions
diff --git a/doc/html/Datatypes.html b/doc/html/Datatypes.html index d7ab7a2..88d8d05 100644 --- a/doc/html/Datatypes.html +++ b/doc/html/Datatypes.html @@ -651,6 +651,7 @@ <code>H5Tinsert()</code>) and cannot be subsequently modified. This makes it imposible to define recursive data structures. + <a name="DTypes-PredefinedAtomic"> <h2>6. Predefined Atomic Datatypes</h2> </a> @@ -2429,7 +2430,215 @@ in the HDF5 distribution. - <h2>10. Sharing Datatypes among Datasets</h2> +<h2>10. Array Datatypes</h2> + +The array class of datatypes, <code>H5T_ARRAY</code>, allows the +construction of true, homogeneous, multi-dimensional arrays. +Since these are homogeneous arrays, each element of the array will be +of the same datatype, designated at the time the array is created. + +<p> +Arrays can be nested. +Not only is an array datatype used as an element of an HDF5 dataset, +but the elements of an array datatype may be of any datatype, +including another array datatype. + +<p> +Array datatypes cannot be subdivided for I/O; the entire array must +be transferred from one dataset to another. + +<p> +Within the limitations outlined in the next paragraph, array datatypes +may be <em>N</em>-dimensional and of any dimension size. +Unlimited dimensions, however, are not supported. +Functionality similar to unlimited dimension arrays is available through +the use of variable-length datatypes. + +<p> +The maximum number of dimensions, i.e., the maximum rank, of an array +datatype is specified by the HDF5 library constant <code>H5S_MAX_RANK</code>. +The minimum rank is 1 (one). +All dimension sizes must be greater than 0 (zero). + +<p> +One array dataype may only be converted to another array datatype +if the number of dimensions and the sizes of the dimensions are equal +and the datatype of the first array's elements can be converted +to the datatype of the second array's elements. + +<h3>10.1 Array Datatype APIs</h2> + +The functions for creating and manipulating array datadypes are +as follows: + +<dir> +<table> + <tr> + <td><code><b>H5Tarray_create</b></code> + </td><td> + </td><td>Creates an array datatype. + </td></tr><tr><td colspan=3><dir> + <em>hid_t</em> <code>H5Tarray_create</code>( + <em>hid_t</em> <code>base</code>, + <em>int</em> <code>rank</code>, + <em>const hsize_t</em> <code>dims[/*rank*/]</code>, + <em>const int</em> <code>perm[/*rank*/]</code> + ) + </dir> + </td></tr><tr> + <td><code><b>H5Tget_array_ndims</b></code> + </td><td> + </td><td>Retrieves the rank of the array datatype. + </td></tr><tr><td colspan=3><dir> + <em>int</em> <code>H5Tget_array_ndims</code>( + <em>hid_t</em> <code>adtype_id</code> + ) + </dir> + </td></tr><tr> + <td><code><b>H5Tget_array_dims</b></code> + </td><td> + </td><td>Retrieves the dimension sizes of the array datatype. + </td></tr><tr><td colspan=3><dir> + <em>int</em> <code>H5Tget_array_dims</code>( + <em>hid_t</em> <code>adtype_id</code>, + <em>hsize_t *</em><code>dims[]</code>, + <em>int *</em><code>perm[]</code> + ) + </dir> + </td></tr> +</table> +</dir> + + +<h3>10.2 Transition Issues in Adapting Existing Software<br> + +(Transition to HDF5 Release 1.4 Only)</h3> + +The array datatype class is new with Release 1.4; +prior releases included an array element for compound datatypes. +<p> +The use of the array datatype class will not interfere with the +use of existing compound datatypes. Applications may continue to +read and write the older field arrays, but they will no longer be +able to create array fields in newly-defined compound datatypes. +<p> +Existing array fields will be transparently mapped to array datatypes +when they are read in. + + +<h3>10.3 Code Example</h3> + +The following example creates an array datatype and creates and writes +a dataset to the HDF5 file. The elements of the dataset have the +array datatype. + +<center> +<table border align=center width="100%"> + <caption align=bottom><h4>Example: Array Datatype</h4></caption> + <tr> + <td> + <pre> +/* + * This example creates and writes dataset to the HDF5 file. + * Elements of the datasets have an array datatype. + */ + +#include <hdf5.h> + +#define FILE "SDS_array_type.h5" +#define DATASETNAME "IntArray" +#define ARRAY_DIM1 5 /* array dimensions and rank */ +#define ARRAY_DIM2 4 +#define ARRAY_RANK 2 +#define SPACE_DIM 10 /* dataset dimensions and rank */ +#define RANK 1 + +int +main (void) +{ + hid_t file, dataset; /* file and dataset handles */ + hid_t datatype, dataspace; /* handles */ + hsize_t sdims[] = {SPACE_DIM}; /* dataset dimensions */ + hsize_t adims[] = {ARRAY_DIM1, ARRAY_DIM2}; /* array dimensions */ + hsize_t adims_out[2]; + herr_t status; + int data[SPACE_DIM][ARRAY_DIM1][ARRAY_DIM2]; /* data to write */ + int k, i, j; + int array_rank_out; + + /* + * Data and output buffer initialization. + */ + for (k = 0; k < SPACE_DIM; k++) { + for (j = 0; j < ARRAY_DIM1; j++) { + for (i = 0; i < ARRAY_DIM2; i++) + data[k][j][i] = k; + } + } + /* + * Create a new file using H5F_ACC_TRUNC access, + * default file creation properties, and default file + * access properties. + */ + file = H5Fcreate(FILE, H5F_ACC_TRUNC, H5P_DEFAULT, H5P_DEFAULT); + + /* + * Describe the size of the array and create the data space for fixed + * size dataset. + */ + dataspace = H5Screate_simple(RANK, sdims, NULL); + + /* + * Define array datatype for the data in the file. + */ + datatype = H5Tarray_create(H5T_NATIVE_INT, ARRAY_RANK, adims, NULL); + + /* + * Create a new dataset within the file using defined dataspace and + * datatype and default dataset creation properties. + */ + dataset = H5Dcreate(file, DATASETNAME, datatype, dataspace, + H5P_DEFAULT); + + /* + * Write the data to the dataset using default transfer properties. + */ + status = H5Dwrite(dataset, datatype, H5S_ALL, H5S_ALL, + H5P_DEFAULT, data); + + + /* + * Close/release resources. + */ + H5Sclose(dataspace); + H5Tclose(datatype); + H5Dclose(dataset); + /* + * Reopen dataset, and return information about its datatype. + */ + dataset = H5Dopen(file, DATASETNAME); + datatype = H5Dget_type(dataset); + array_rank_out = H5Tget_array_ndims(datatype); + status = H5Tget_array_dims(datatype, adims_out, NULL); + printf(" Array datatype rank is %d \n", array_rank_out); + printf(" Array dimensions are %d x %d \n", (int)adims_out[0], + (int)adims_out[1]); + + H5Tclose(datatype); + H5Dclose(dataset); + H5Fclose(file); + + return 0; +} + </pre> + </td> + </tr> +</table> +</center> + + + + <h2>11. Sharing Datatypes among Datasets</h2> <p>If a file has lots of datasets which have a common datatype, then the file could be made smaller by having all the datasets @@ -2446,7 +2655,7 @@ in the HDF5 distribution. <p> <center> <table border align=center width="100%"> - <caption align=bottom><h4>Example: Shared Types</h4></caption> + <caption align=bottom><h4>Example: Shared Datatypes</h4></caption> <tr> <td> <p>To create two datasets that share a common datatype @@ -2474,8 +2683,11 @@ hid_t dset4 = H5Dcreate (file, "dset4", t2, space, H5P_DEFAULT); </table> </center> + + + <a name="Datatypes-DataConversion"> - <h2>11. Data Conversion</h2> + <h2>12. Data Conversion</h2> </a> <p>The library is capable of converting data from one type to @@ -2881,7 +3093,7 @@ H5Tregister(H5T_PERS_SOFT, "cus2be", <!-- Created: Thu Dec 4 14:57:32 EST 1997 --> <!-- hhmts start --> -Last modified: 5 February 2001 +Last modified: 9 February 2001 <!-- hhmts end --> <br> |