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-rw-r--r--java/src/hdf/hdf5lib/package-info.java101
1 files changed, 66 insertions, 35 deletions
diff --git a/java/src/hdf/hdf5lib/package-info.java b/java/src/hdf/hdf5lib/package-info.java
index 7edfcb2..c04b862 100644
--- a/java/src/hdf/hdf5lib/package-info.java
+++ b/java/src/hdf/hdf5lib/package-info.java
@@ -11,11 +11,11 @@
* help@hdfgroup.org. *
* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */
-
/**
* This package is the Java interface for the HDF5 library.
* <p>
- * This code is the called by Java programs to access the entry points of the HDF5 library. Each routine wraps a single
+ * This code is the called by Java programs to access the entry points of the HDF5 library. Each routine wraps
+ a single
* HDF5 entry point, generally with the arguments and return codes analogous to the C interface.
* <p>
* For details of the HDF5 library, see the HDF5 Documentation at:
@@ -25,7 +25,8 @@
* <b>Mapping of arguments for Java</b>
*
* <p>
- * In general, arguments to the HDF Java API are straightforward translations from the 'C' API described in the HDF
+ * In general, arguments to the HDF Java API are straightforward translations from the 'C' API described in
+ the HDF
* Reference Manual.
*
* <table border=1>
@@ -66,16 +67,21 @@
* </table>
* <b>General Rules for Passing Arguments and Results</b>
* <p>
- * In general, arguments passed <b>IN</b> to Java are the analogous basic types, as above. The exception is for arrays,
+ * In general, arguments passed <b>IN</b> to Java are the analogous basic types, as above. The exception is
+ for arrays,
* which are discussed below.
* <p>
- * The <i>return value</i> of Java methods is also the analogous type, as above. A major exception to that rule is that
- * all HDF functions that return SUCCEED/FAIL are declared <i>boolean</i> in the Java version, rather than <i>int</i> as
- * in the C. Functions that return a value or else FAIL are declared the equivalent to the C function. However, in most
+ * The <i>return value</i> of Java methods is also the analogous type, as above. A major exception to that
+ rule is that
+ * all HDF functions that return SUCCEED/FAIL are declared <i>boolean</i> in the Java version, rather than
+ <i>int</i> as
+ * in the C. Functions that return a value or else FAIL are declared the equivalent to the C function.
+ However, in most
* cases the Java method will raise an exception instead of returning an error code.
* See <a href="#ERRORS">Errors and Exceptions</a> below.
* <p>
- * Java does not support pass by reference of arguments, so arguments that are returned through <b>OUT</b> parameters
+ * Java does not support pass by reference of arguments, so arguments that are returned through <b>OUT</b>
+ parameters
* must be wrapped in an object or array. The Java API for HDF consistently wraps arguments in arrays.
* <p>
* For instance, a function that returns two integers is declared:
@@ -97,11 +103,13 @@
* </pre>
*
* <p>
- * All the routines where this convention is used will have specific documentation of the details, given below.
+ * All the routines where this convention is used will have specific documentation of the details, given
+ below.
* <p>
* <b>Arrays</b>
* <p>
- * HDF5 needs to read and write multi-dimensional arrays of any number type (and records). The HDF5 API describes the
+ * HDF5 needs to read and write multi-dimensional arrays of any number type (and records). The HDF5 API
+ describes the
* layout of the source and destination, and the data for the array passed as a block of bytes, for instance,
*
* <pre>
@@ -109,39 +117,53 @@
* </pre>
*
* <p>
- * where ``void *'' means that the data may be any valid numeric type, and is a contiguous block of bytes that is the
- * data for a multi-dimensional array. The other parameters describe the dimensions, rank, and datatype of the array on
+ * where ``void *'' means that the data may be any valid numeric type, and is a contiguous block of bytes that
+ is the
+ * data for a multi-dimensional array. The other parameters describe the dimensions, rank, and datatype of the
+ array on
* disk (source) and in memory (destination).
* <p>
- * For Java, this ``ANY'' is a problem, as the type of data must always be declared. Furthermore, multidimensional
- * arrays are definitely <i>not</i> laid out contiguously in memory. It would be infeasible to declare a separate
+ * For Java, this ``ANY'' is a problem, as the type of data must always be declared. Furthermore,
+ multidimensional
+ * arrays are definitely <i>not</i> laid out contiguously in memory. It would be infeasible to declare a
+ separate
* routine for every combination of number type and dimensionality. For that reason, the
- * <a href="./hdf.hdf5lib.HDFArray.html"><b>HDFArray</b></a> class is used to discover the type, shape, and size of the
- * data array at run time, and to convert to and from a contiguous array of bytes in synchronized static native C order.
- * <p>
- * The upshot is that any Java array of numbers (either primitive or sub-classes of type <b>Number</b>) can be passed as
- * an ``Object'', and the Java API will translate to and from the appropriate packed array of bytes needed by the C
+ * <a href="./hdf.hdf5lib.HDFArray.html"><b>HDFArray</b></a> class is used to discover the type, shape, and
+ size of the
+ * data array at run time, and to convert to and from a contiguous array of bytes in synchronized static
+ native C order.
+ * <p>
+ * The upshot is that any Java array of numbers (either primitive or sub-classes of type <b>Number</b>) can be
+ passed as
+ * an ``Object'', and the Java API will translate to and from the appropriate packed array of bytes needed by
+ the C
* library. So the function above would be declared:
*
* <pre>
- * public synchronized static native int H5Dread(long fid, long filetype, long memtype, long memspace, Object data);
+ * public synchronized static native int H5Dread(long fid, long filetype, long memtype, long memspace, Object
+ data);
* </pre>
* OPEN_IDS.addElement(id);
- * and the parameter <i>data</i> can be any multi-dimensional array of numbers, such as float[][], or int[][][], or
+ * and the parameter <i>data</i> can be any multi-dimensional array of numbers, such as float[][], or
+ int[][][], or
* Double[][].
* <p>
* <b>HDF-5 Constants</b>
* <p>
- * The HDF-5 API defines a set of constants and enumerated values. Most of these values are available to Java programs
- * via the class <a href="./hdf.hdf5lib.HDF5Constants.html"> <b>HDF5Constants</b></a>. For example, the parameters for
+ * The HDF-5 API defines a set of constants and enumerated values. Most of these values are available to Java
+ programs
+ * via the class <a href="./hdf.hdf5lib.HDF5Constants.html"> <b>HDF5Constants</b></a>. For example, the
+ parameters for
* the h5open() call include two numeric values, <b><i>HDFConstants.H5F_ACC_RDWR</i></b> and
* <b><i>HDF5Constants.H5P_DEFAULT</i></b>. As would be expected, these numbers correspond to the C constants
* <b><i>H5F_ACC_RDWR</i></b> and <b><i>H5P_DEFAULT</i></b>.
* <p>
- * The HDF-5 API defines a set of values that describe number types and sizes, such as "H5T_NATIVE_INT" and "hsize_t".
+ * The HDF-5 API defines a set of values that describe number types and sizes, such as "H5T_NATIVE_INT" and
+ "hsize_t".
* These values are determined at run time by the HDF-5 C library. To support these parameters, the Java class
- * <a href="./hdf.hdf5lib.HDF5CDataTypes.html"> <b>HDF5CDataTypes</b></a> looks up the values when initiated. The values
+ * <a href="./hdf.hdf5lib.HDF5CDataTypes.html"> <b>HDF5CDataTypes</b></a> looks up the values when initiated.
+ The values
* can be accessed as public variables of the Java class, such as:
*
* <pre>
@@ -153,22 +175,31 @@
* <p>
* <b>Error handling and Exceptions</b>
* <p>
- * The HDF5 error API (H5E) manages the behavior of the error stack in the HDF-5 library. This API is available from the
- * JHI5. Errors are converted into Java exceptions. This is totally different from the C interface, but is very natural
+ * The HDF5 error API (H5E) manages the behavior of the error stack in the HDF-5 library. This API is
+ available from the
+ * JHI5. Errors are converted into Java exceptions. This is totally different from the C interface, but is
+ very natural
* for Java programming.
* <p>
* The exceptions of the JHI5 are organized as sub-classes of the class
- * <a href="./hdf.hdf5lib.exceptions.HDF5Exception.html"> <b>HDF5Exception</b></a>. There are two subclasses of
- * <b>HDF5Exception</b>, <a href="./hdf.hdf5lib.exceptions.HDF5LibraryException.html"> <b>HDF5LibraryException</b></a>
- * and <a href="./hdf.hdf5lib.exceptions.HDF5JavaException.html"> <b>HDF5JavaException</b></a>. The sub-classes of the
- * former represent errors from the HDF-5 C library, while sub-classes of the latter represent errors in the JHI5
+ * <a href="./hdf.hdf5lib.exceptions.HDF5Exception.html"> <b>HDF5Exception</b></a>. There are two subclasses
+ of
+ * <b>HDF5Exception</b>, <a href="./hdf.hdf5lib.exceptions.HDF5LibraryException.html">
+ <b>HDF5LibraryException</b></a>
+ * and <a href="./hdf.hdf5lib.exceptions.HDF5JavaException.html"> <b>HDF5JavaException</b></a>. The
+ sub-classes of the
+ * former represent errors from the HDF-5 C library, while sub-classes of the latter represent errors in the
+ JHI5
* wrapper and support code.
* <p>
- * The super-class <b><i>HDF5LibraryException</i></b> implements the method '<b><i>printStackTrace()</i></b>', which
- * prints out the HDF-5 error stack, as described in the HDF-5 C API <i><b>H5Eprint()</b>.</i> This may be used by Java
+ * The super-class <b><i>HDF5LibraryException</i></b> implements the method '<b><i>printStackTrace()</i></b>',
+ which
+ * prints out the HDF-5 error stack, as described in the HDF-5 C API <i><b>H5Eprint()</b>.</i> This may be
+ used by Java
* exception handlers to print out the HDF-5 error stack.
* <hr>
*
* <b>See also: <a href="http://hdfgroup.org/HDF5/"> http://hdfgroup.org/HDF5"</a></b>
- **/
-package hdf.hdf5lib; \ No newline at end of file
+ *
+ */
+package hdf.hdf5lib;