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Java replace switch on string (#273)

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* OESS-98 convert plugin option to FetchContent, add tests

* Fixes for pkcfg files because of plugin option

* OESS-98 fix tools test for plugins

* Keep doxygen comments under 100 chars long - format hint

* Whitespace

* HDFFV-11144 - Reclassify CMake messages

* HDFFV-11099/11100 added help text

* Reworked switch statement to compare string instead

* Fix typo

* Update CDash mode

* Correct name of threadsafe

* Correct option name

* Undo accidental commit
This commit is contained in:
Allen Byrne
2021-01-26 22:27:10 -06:00
committed by GitHub
parent b516921b7d
commit d7bce33123
3 changed files with 374 additions and 312 deletions
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86
.github/workflows/main.yml vendored
View File

@@ -17,14 +17,19 @@ jobs:
strategy:
# fail-fast: false
matrix:
name: ["Windows Latest MSVC", "Ubuntu Latest GCC", "Ubuntu Debug GCC", "macOS Latest Clang", "Ubuntu Autotools GCC"]
name: ["Windows Latest MSVC", "Ubuntu Latest GCC", "Ubuntu Debug GCC", "macOS Latest Clang", "Ubuntu Autotools GCC", "Windows TS MSVC", "Ubuntu TS GCC", "TS Debug GCC", "macOS TS Clang", "TS Autotools GCC"]
include:
- name: "Windows Latest MSVC"
artifact: "Windows-MSVC.tar.xz"
os: windows-latest
build_type: "Release"
toolchain: ""
cpp: ON
fortran: OFF
java: ON
ts: OFF
hl: ON
parallel: OFF
generator: "-G \"Visual Studio 16 2019\" -A x64"
- name: "Ubuntu Latest GCC"
artifact: "Linux.tar.xz"
@@ -32,6 +37,9 @@ jobs:
build_type: "Release"
cpp: ON
fortran: OFF
java: ON
ts: OFF
hl: ON
parallel: OFF
toolchain: "config/toolchain/GCC.cmake"
generator: "-G Ninja"
@@ -41,6 +49,9 @@ jobs:
build_type: "Release"
cpp: ON
fortran: OFF
java: ON
ts: OFF
hl: ON
parallel: OFF
toolchain: "config/toolchain/clang.cmake"
generator: "-G Ninja"
@@ -50,15 +61,82 @@ jobs:
build_type: "Debug"
cpp: ON
fortran: OFF
java: OFF
ts: OFF
hl: ON
parallel: OFF
toolchain: "config/toolchain/GCC.cmake"
generator: "-G Ninja"
- name: "Ubuntu Autotools GCC"
artifact: "Linux.tar.xz"
artifact: "LinuxA.tar.xz"
os: ubuntu-latest
build_type: "Release"
cpp: enable
fortran: enable
java: enable
ts: disable
hl: enable
parallel: disable
toolchain: ""
generator: "autogen"
# Threadsafe runs
- name: "Windows TS MSVC"
artifact: "Windows-MSVCTS.tar.xz"
os: windows-latest
build_type: "Release"
toolchain: ""
cpp: OFF
fortran: OFF
java: OFF
ts: ON
hl: OFF
parallel: OFF
generator: "-G \"Visual Studio 16 2019\" -A x64"
- name: "Ubuntu TS GCC"
artifact: "LinuxTS.tar.xz"
os: ubuntu-latest
build_type: "Release"
cpp: OFF
fortran: OFF
java: OFF
ts: ON
hl: OFF
parallel: OFF
toolchain: "config/toolchain/GCC.cmake"
generator: "-G Ninja"
- name: "macOS TS Clang"
artifact: "macOSTS.tar.xz"
os: macos-latest
build_type: "Release"
cpp: OFF
fortran: OFF
java: OFF
ts: ON
hl: OFF
parallel: OFF
toolchain: "config/toolchain/clang.cmake"
generator: "-G Ninja"
- name: "TS Debug GCC"
artifact: "LinuxTSDBG.tar.xz"
os: ubuntu-latest
build_type: "Debug"
cpp: OFF
fortran: OFF
java: OFF
ts: ON
hl: OFF
parallel: OFF
toolchain: "config/toolchain/GCC.cmake"
generator: "-G Ninja"
- name: "TS Autotools GCC"
artifact: "LinuxATS.tar.xz"
os: ubuntu-latest
build_type: "Release"
cpp: disable
fortran: disable
java: disable
ts: enable
hl: disable
parallel: disable
toolchain: ""
generator: "autogen"
@@ -109,7 +187,7 @@ jobs:
sh ./bin/chkmanifest
mkdir "${{ runner.workspace }}/build"
cd "${{ runner.workspace }}/build"
$GITHUB_WORKSPACE/configure --enable-shared --${{ matrix.parallel }}-parallel --${{ matrix.cpp }}-cxx --${{ matrix.fortran }}-fortran --enable-java
$GITHUB_WORKSPACE/configure --enable-shared --${{ matrix.ts }}-threadsafe --${{ matrix.hl }}-hl --${{ matrix.parallel }}-parallel --${{ matrix.cpp }}-cxx --${{ matrix.fortran }}-fortran --${{ matrix.java }}-java
shell: bash
- name: Configure
@@ -117,7 +195,7 @@ jobs:
run: |
mkdir "${{ runner.workspace }}/build"
cd "${{ runner.workspace }}/build"
cmake ${{ matrix.generator }} -DCMAKE_BUILD_TYPE=${{ matrix.build_type }} -DCMAKE_TOOLCHAIN_FILE=${{ matrix.toolchain }} -DBUILD_SHARED_LIBS=ON -DHDF5_ENABLE_ALL_WARNINGS=ON -DHDF5_ENABLE_PARALLEL:BOOL=${{ matrix.parallel }} -DHDF5_BUILD_CPP_LIB:BOOL=${{ matrix.cpp }} -DHDF5_BUILD_FORTRAN=${{ matrix.fortran }} -DHDF5_BUILD_JAVA=ON $GITHUB_WORKSPACE
cmake ${{ matrix.generator }} -DCMAKE_BUILD_TYPE=${{ matrix.build_type }} -DCMAKE_TOOLCHAIN_FILE=${{ matrix.toolchain }} -DBUILD_SHARED_LIBS=ON -DHDF5_ENABLE_ALL_WARNINGS=ON -DHDF5_ENABLE_THREADSAFE:BOOL=${{ matrix.ts }} -DHDF5_BUILD_HL_LIB:BOOL=${{ matrix.hl }} -DHDF5_ENABLE_PARALLEL:BOOL=${{ matrix.parallel }} -DHDF5_BUILD_CPP_LIB:BOOL=${{ matrix.cpp }} -DHDF5_BUILD_FORTRAN=${{ matrix.fortran }} -DHDF5_BUILD_JAVA=${{ matrix.java }} $GITHUB_WORKSPACE
shell: bash
- name: Autotools Build

87
.github/workflows/pr-check.yml vendored
View File

@@ -12,14 +12,19 @@ jobs:
strategy:
# fail-fast: false
matrix:
name: ["Windows Latest MSVC", "Ubuntu Latest GCC", "Ubuntu Debug GCC", "macOS Latest Clang", "Ubuntu Autotools GCC"]
name: ["Windows Latest MSVC", "Ubuntu Latest GCC", "Ubuntu Debug GCC", "macOS Latest Clang", "Ubuntu Autotools GCC", "Windows TS MSVC", "Ubuntu TS GCC", "TS Debug GCC", "macOS TS Clang", "TS Autotools GCC"]
include:
- name: "Windows Latest MSVC"
artifact: "Windows-MSVC.tar.xz"
os: windows-latest
build_type: "Release"
toolchain: ""
cpp: ON
fortran: OFF
java: ON
ts: OFF
hl: ON
parallel: OFF
generator: "-G \"Visual Studio 16 2019\" -A x64"
- name: "Ubuntu Latest GCC"
artifact: "Linux.tar.xz"
@@ -27,6 +32,9 @@ jobs:
build_type: "Release"
cpp: ON
fortran: OFF
java: ON
ts: OFF
hl: ON
parallel: OFF
toolchain: "config/toolchain/GCC.cmake"
generator: "-G Ninja"
@@ -36,6 +44,9 @@ jobs:
build_type: "Release"
cpp: ON
fortran: OFF
java: ON
ts: OFF
hl: ON
parallel: OFF
toolchain: "config/toolchain/clang.cmake"
generator: "-G Ninja"
@@ -45,15 +56,82 @@ jobs:
build_type: "Debug"
cpp: ON
fortran: OFF
java: OFF
ts: OFF
hl: ON
parallel: OFF
toolchain: "config/toolchain/GCC.cmake"
generator: "-G Ninja"
- name: "Ubuntu Autotools GCC"
artifact: "Linux.tar.xz"
artifact: "LinuxA.tar.xz"
os: ubuntu-latest
build_type: "Release"
cpp: enable
fortran: enable
java: enable
ts: disable
hl: enable
parallel: disable
toolchain: ""
generator: "autogen"
# Threadsafe runs
- name: "Windows TS MSVC"
artifact: "Windows-MSVCTS.tar.xz"
os: windows-latest
build_type: "Release"
toolchain: ""
cpp: OFF
fortran: OFF
java: OFF
ts: ON
hl: OFF
parallel: OFF
generator: "-G \"Visual Studio 16 2019\" -A x64"
- name: "Ubuntu TS GCC"
artifact: "LinuxTS.tar.xz"
os: ubuntu-latest
build_type: "Release"
cpp: OFF
fortran: OFF
java: OFF
ts: ON
hl: OFF
parallel: OFF
toolchain: "config/toolchain/GCC.cmake"
generator: "-G Ninja"
- name: "macOS TS Clang"
artifact: "macOSTS.tar.xz"
os: macos-latest
build_type: "Release"
cpp: OFF
fortran: OFF
java: OFF
ts: ON
hl: OFF
parallel: OFF
toolchain: "config/toolchain/clang.cmake"
generator: "-G Ninja"
- name: "TS Debug GCC"
artifact: "LinuxTSDBG.tar.xz"
os: ubuntu-latest
build_type: "Debug"
cpp: OFF
fortran: OFF
java: OFF
ts: ON
hl: OFF
parallel: OFF
toolchain: "config/toolchain/GCC.cmake"
generator: "-G Ninja"
- name: "TS Autotools GCC"
artifact: "LinuxATS.tar.xz"
os: ubuntu-latest
build_type: "Release"
cpp: disable
fortran: disable
java: disable
ts: enable
hl: disable
parallel: disable
toolchain: ""
generator: "autogen"
@@ -70,6 +148,7 @@ jobs:
name: ${{ matrix.name }}
# The type of runner that the job will run on
runs-on: ${{ matrix.os }}
if: "!contains(github.event.head_commit.message, 'skip-ci')"
# Steps represent a sequence of tasks that will be executed as part of the job
steps:
@@ -103,7 +182,7 @@ jobs:
sh ./bin/chkmanifest
mkdir "${{ runner.workspace }}/build"
cd "${{ runner.workspace }}/build"
$GITHUB_WORKSPACE/configure --enable-shared --${{ matrix.parallel }}-parallel --${{ matrix.cpp }}-cxx --${{ matrix.fortran }}-fortran --enable-java
$GITHUB_WORKSPACE/configure --enable-shared --${{ matrix.ts }}-threadsafe --${{ matrix.hl }}-hl --${{ matrix.parallel }}-parallel --${{ matrix.cpp }}-cxx --${{ matrix.fortran }}-fortran --${{ matrix.java }}-java
shell: bash
- name: Configure
@@ -111,7 +190,7 @@ jobs:
run: |
mkdir "${{ runner.workspace }}/build"
cd "${{ runner.workspace }}/build"
cmake ${{ matrix.generator }} -DCMAKE_BUILD_TYPE=${{ matrix.build_type }} -DCMAKE_TOOLCHAIN_FILE=${{ matrix.toolchain }} -DBUILD_SHARED_LIBS=ON -DHDF5_ENABLE_ALL_WARNINGS=ON -DHDF5_ENABLE_PARALLEL:BOOL=${{ matrix.parallel }} -DHDF5_BUILD_CPP_LIB:BOOL=${{ matrix.cpp }} -DHDF5_BUILD_FORTRAN=${{ matrix.fortran }} -DHDF5_BUILD_JAVA=ON $GITHUB_WORKSPACE
cmake ${{ matrix.generator }} -DCMAKE_BUILD_TYPE=${{ matrix.build_type }} -DCMAKE_TOOLCHAIN_FILE=${{ matrix.toolchain }} -DBUILD_SHARED_LIBS=ON -DHDF5_ENABLE_ALL_WARNINGS=ON -DHDF5_ENABLE_THREADSAFE:BOOL=${{ matrix.ts }} -DHDF5_BUILD_HL_LIB:BOOL=${{ matrix.hl }} -DHDF5_ENABLE_PARALLEL:BOOL=${{ matrix.parallel }} -DHDF5_BUILD_CPP_LIB:BOOL=${{ matrix.cpp }} -DHDF5_BUILD_FORTRAN=${{ matrix.fortran }} -DHDF5_BUILD_JAVA=${{ matrix.java }} $GITHUB_WORKSPACE
shell: bash
- name: Autotools Build

513
java/src/hdf/hdf5lib/HDFArray.java
View File

@@ -11,7 +11,6 @@
* help@hdfgroup.org. *
* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */
package hdf.hdf5lib;
import hdf.hdf5lib.exceptions.HDF5Exception;
@@ -21,19 +20,16 @@ import java.util.Arrays;
/**
* This is a class for handling multidimensional arrays for HDF.
* <p>
* The purpose is to allow the storage and retrieval of arbitrary array types
* containing scientific data.
* The purpose is to allow the storage and retrieval of arbitrary array types containing scientific data.
* <p>
* The methods support the conversion of an array to and from Java to a
* one-dimensional array of bytes suitable for I/O by the C library.
* The methods support the conversion of an array to and from Java to a one-dimensional array of bytes suitable for I/O
* by the C library.
* <p>
* This class heavily uses the <a
* href="./hdf.hdf5lib.HDFNativeData.html">HDFNativeData</a> class to
* convert between Java and C representations.
* This class heavily uses the <a href="./hdf.hdf5lib.HDFNativeData.html">HDFNativeData</a> class to convert between
* Java and C representations.
*/
public class HDFArray {
private Object _theArray = null;
private ArrayDescriptor _desc = null;
private byte[] _barray = null;
@@ -41,31 +37,27 @@ public class HDFArray {
// public HDFArray() {}
/**
* The input must be a Java Array (possibly multidimensional) of primitive
* numbers or sub-classes of Number.
* The input must be a Java Array (possibly multidimensional) of primitive numbers or sub-classes of Number.
* <p>
* The input is analysed to determine the number of dimensions and size of
* each dimension, as well as the type of the elements.
* The input is analysed to determine the number of dimensions and size of each dimension, as well as the type of
* the elements.
* <p>
* The description is saved in private variables, and used to convert data.
*
* @param anArray
* The array object.
*
* The array object.
* @exception hdf.hdf5lib.exceptions.HDF5Exception
* object is not an array.
* object is not an array.
*/
public HDFArray(Object anArray) throws HDF5Exception {
public HDFArray(Object anArray) throws HDF5Exception
{
if (anArray == null) {
HDF5JavaException ex = new HDF5JavaException(
"HDFArray: array is null?: ");
HDF5JavaException ex = new HDF5JavaException("HDFArray: array is null?: ");
}
Class tc = anArray.getClass();
if (tc.isArray() == false) {
/* exception: not an array */
HDF5JavaException ex = new HDF5JavaException(
"HDFArray: not an array?: ");
HDF5JavaException ex = new HDF5JavaException("HDFArray: not an array?: ");
throw (ex);
}
_theArray = anArray;
@@ -73,8 +65,7 @@ public class HDFArray {
/* extra error checking -- probably not needed */
if (_desc == null) {
HDF5JavaException ex = new HDF5JavaException(
"HDFArray: internal error: array description failed?: ");
HDF5JavaException ex = new HDF5JavaException("HDFArray: internal error: array description failed?: ");
throw (ex);
}
}
@@ -82,49 +73,48 @@ public class HDFArray {
/**
* Allocate a one-dimensional array of bytes sufficient to store the array.
*
* @return A one-D array of bytes, filled with zeroes. The bytes are
* sufficient to hold the data of the Array passed to the
* constructor.
* @return A one-D array of bytes, filled with zeroes. The bytes are sufficient to hold the data of the Array passed
* to the constructor.
* @exception hdf.hdf5lib.exceptions.HDF5JavaException
* Allocation failed.
* Allocation failed.
*/
public byte[] emptyBytes() throws HDF5JavaException {
public byte[] emptyBytes()
throws HDF5JavaException
{
byte[] b = null;
if ((ArrayDescriptor.dims == 1) && (ArrayDescriptor.NT == 'B')) {
if ((ArrayDescriptor.dims == 1)
&& (ArrayDescriptor.NT == 'B')) {
b = (byte[]) _theArray;
}
else {
b = new byte[ArrayDescriptor.totalSize];
}
if (b == null) {
HDF5JavaException ex = new HDF5JavaException(
"HDFArray: emptyBytes: allocation failed");
HDF5JavaException ex = new HDF5JavaException("HDFArray: emptyBytes: allocation failed");
throw (ex);
}
return (b);
}
/**
* Given a Java array of numbers, convert it to a one-dimensional array of
* bytes in correct native order.
* Given a Java array of numbers, convert it to a one-dimensional array of bytes in correct native order.
*
* @return A one-D array of bytes, constructed from the Array passed to the
* constructor.
* @return A one-D array of bytes, constructed from the Array passed to the constructor.
* @exception hdf.hdf5lib.exceptions.HDF5JavaException
* the object not an array or other internal error.
* the object not an array or other internal error.
*/
public byte[] byteify() throws HDF5JavaException {
public byte[] byteify()
throws HDF5JavaException
{
if (_barray != null) {
return _barray;
}
if (_theArray == null) {
/* exception: not an array */
HDF5JavaException ex = new HDF5JavaException(
"HDFArray: byteify not an array?: ");
HDF5JavaException ex = new HDF5JavaException("HDFArray: byteify not an array?: ");
throw (ex);
}
@@ -141,73 +131,53 @@ public class HDFArray {
byte[] therow;
if (ArrayDescriptor.NT == 'I') {
therow = HDFNativeData.intToByte(0,
ArrayDescriptor.dimlen[1], (int[]) _theArray);
therow = HDFNativeData.intToByte(0, ArrayDescriptor.dimlen[1], (int[]) _theArray);
}
else if (ArrayDescriptor.NT == 'S') {
therow = HDFNativeData.shortToByte(0,
ArrayDescriptor.dimlen[1], (short[]) _theArray);
therow = HDFNativeData.shortToByte(0, ArrayDescriptor.dimlen[1], (short[]) _theArray);
}
else if (ArrayDescriptor.NT == 'F') {
therow = HDFNativeData.floatToByte(0,
ArrayDescriptor.dimlen[1], (float[]) _theArray);
therow = HDFNativeData.floatToByte(0, ArrayDescriptor.dimlen[1], (float[]) _theArray);
}
else if (ArrayDescriptor.NT == 'J') {
therow = HDFNativeData.longToByte(0,
ArrayDescriptor.dimlen[1], (long[]) _theArray);
therow = HDFNativeData.longToByte(0, ArrayDescriptor.dimlen[1], (long[]) _theArray);
}
else if (ArrayDescriptor.NT == 'D') {
therow = HDFNativeData
.doubleToByte(0, ArrayDescriptor.dimlen[1],
(double[]) _theArray);
therow = HDFNativeData.doubleToByte(0, ArrayDescriptor.dimlen[1], (double[]) _theArray);
}
else if (ArrayDescriptor.NT == 'L') {
if (ArrayDescriptor.className.equals("java.lang.Byte")) {
therow = ByteObjToByte((Byte[]) _theArray);
}
else if (ArrayDescriptor.className
.equals("java.lang.Integer")) {
else if (ArrayDescriptor.className.equals("java.lang.Integer")) {
therow = IntegerToByte((Integer[]) _theArray);
}
else if (ArrayDescriptor.className
.equals("java.lang.Short")) {
else if (ArrayDescriptor.className.equals("java.lang.Short")) {
therow = ShortToByte((Short[]) _theArray);
}
else if (ArrayDescriptor.className
.equals("java.lang.Float")) {
else if (ArrayDescriptor.className.equals("java.lang.Float")) {
therow = FloatObjToByte((Float[]) _theArray);
}
else if (ArrayDescriptor.className
.equals("java.lang.Double")) {
else if (ArrayDescriptor.className.equals("java.lang.Double")) {
therow = DoubleObjToByte((Double[]) _theArray);
}
else if (ArrayDescriptor.className
.equals("java.lang.Long")) {
else if (ArrayDescriptor.className.equals("java.lang.Long")) {
therow = LongObjToByte((Long[]) _theArray);
}
else {
HDF5JavaException ex = new HDF5JavaException(
"HDFArray: unknown type of Object?");
HDF5JavaException ex = new HDF5JavaException("HDFArray: unknown type of Object?");
throw (ex);
}
}
else {
HDF5JavaException ex = new HDF5JavaException(
"HDFArray: unknown type of data?");
HDF5JavaException ex = new HDF5JavaException("HDFArray: unknown type of data?");
throw (ex);
}
System
.arraycopy(
therow,
0,
_barray,
0,
(ArrayDescriptor.dimlen[1] * ArrayDescriptor.NTsize));
System.arraycopy(therow, 0, _barray, 0, (ArrayDescriptor.dimlen[1] * ArrayDescriptor.NTsize));
return _barray;
}
catch (OutOfMemoryError err) {
HDF5JavaException ex = new HDF5JavaException(
"HDFArray: byteify array too big?");
HDF5JavaException ex = new HDF5JavaException("HDFArray: byteify array too big?");
throw (ex);
}
}
@@ -217,8 +187,7 @@ public class HDFArray {
_barray = new byte[ArrayDescriptor.totalSize];
}
catch (OutOfMemoryError err) {
HDF5JavaException ex = new HDF5JavaException(
"HDFArray: byteify array too big?");
HDF5JavaException ex = new HDF5JavaException("HDFArray: byteify array too big?");
throw (ex);
}
@@ -241,8 +210,7 @@ public class HDFArray {
else {
/* check range of index */
if (index > (ArrayDescriptor.dimlen[i] - 1)) {
throw new java.lang.IndexOutOfBoundsException(
"HDFArray: byteify index OOB?");
throw new java.lang.IndexOutOfBoundsException("HDFArray: byteify index OOB?");
}
oo = java.lang.reflect.Array.get(oo, index);
ArrayDescriptor.currentindex[i] = index;
@@ -254,144 +222,107 @@ public class HDFArray {
byte arow[];
try {
if (ArrayDescriptor.NT == 'J') {
arow = HDFNativeData
.longToByte(
0,
ArrayDescriptor.dimlen[ArrayDescriptor.dims],
(long[]) ArrayDescriptor.objs[ArrayDescriptor.dims - 1]);
arow = HDFNativeData
.longToByte(
0,
ArrayDescriptor.dimlen[ArrayDescriptor.dims],
(long[]) ArrayDescriptor.objs[ArrayDescriptor.dims - 1]);
arow = HDFNativeData.longToByte(0, ArrayDescriptor.dimlen[ArrayDescriptor.dims],
(long[]) ArrayDescriptor.objs[ArrayDescriptor.dims - 1]);
arow = HDFNativeData.longToByte(0, ArrayDescriptor.dimlen[ArrayDescriptor.dims],
(long[]) ArrayDescriptor.objs[ArrayDescriptor.dims - 1]);
}
else if (ArrayDescriptor.NT == 'I') {
arow = HDFNativeData
.intToByte(
0,
ArrayDescriptor.dimlen[ArrayDescriptor.dims],
(int[]) ArrayDescriptor.objs[ArrayDescriptor.dims - 1]);
arow = HDFNativeData.intToByte(0, ArrayDescriptor.dimlen[ArrayDescriptor.dims],
(int[]) ArrayDescriptor.objs[ArrayDescriptor.dims - 1]);
}
else if (ArrayDescriptor.NT == 'S') {
arow = HDFNativeData
.shortToByte(
0,
ArrayDescriptor.dimlen[ArrayDescriptor.dims],
(short[]) ArrayDescriptor.objs[ArrayDescriptor.dims - 1]);
arow = HDFNativeData.shortToByte(0, ArrayDescriptor.dimlen[ArrayDescriptor.dims],
(short[]) ArrayDescriptor.objs[ArrayDescriptor.dims - 1]);
}
else if (ArrayDescriptor.NT == 'B') {
arow = (byte[]) ArrayDescriptor.objs[ArrayDescriptor.dims - 1];
}
else if (ArrayDescriptor.NT == 'F') {
/* 32 bit float */
arow = HDFNativeData
.floatToByte(
0,
ArrayDescriptor.dimlen[ArrayDescriptor.dims],
(float[]) ArrayDescriptor.objs[ArrayDescriptor.dims - 1]);
arow = HDFNativeData.floatToByte(0, ArrayDescriptor.dimlen[ArrayDescriptor.dims],
(float[]) ArrayDescriptor.objs[ArrayDescriptor.dims - 1]);
}
else if (ArrayDescriptor.NT == 'D') {
/* 64 bit float */
arow = HDFNativeData
.doubleToByte(
0,
ArrayDescriptor.dimlen[ArrayDescriptor.dims],
(double[]) ArrayDescriptor.objs[ArrayDescriptor.dims - 1]);
arow = HDFNativeData.doubleToByte(0, ArrayDescriptor.dimlen[ArrayDescriptor.dims],
(double[]) ArrayDescriptor.objs[ArrayDescriptor.dims - 1]);
}
else if (ArrayDescriptor.NT == 'L') {
if (ArrayDescriptor.className.equals("java.lang.Byte")) {
arow = ByteObjToByte((Byte[]) ArrayDescriptor.objs[ArrayDescriptor.dims - 1]);
}
else if (ArrayDescriptor.className
.equals("java.lang.Integer")) {
else if (ArrayDescriptor.className.equals("java.lang.Integer")) {
arow = IntegerToByte((Integer[]) ArrayDescriptor.objs[ArrayDescriptor.dims - 1]);
}
else if (ArrayDescriptor.className
.equals("java.lang.Short")) {
else if (ArrayDescriptor.className.equals("java.lang.Short")) {
arow = ShortToByte((Short[]) ArrayDescriptor.objs[ArrayDescriptor.dims - 1]);
}
else if (ArrayDescriptor.className
.equals("java.lang.Float")) {
else if (ArrayDescriptor.className.equals("java.lang.Float")) {
arow = FloatObjToByte((Float[]) ArrayDescriptor.objs[ArrayDescriptor.dims - 1]);
}
else if (ArrayDescriptor.className
.equals("java.lang.Double")) {
else if (ArrayDescriptor.className.equals("java.lang.Double")) {
arow = DoubleObjToByte((Double[]) ArrayDescriptor.objs[ArrayDescriptor.dims - 1]);
}
else if (ArrayDescriptor.className.equals("java.lang.Long")) {
arow = LongObjToByte((Long[]) ArrayDescriptor.objs[ArrayDescriptor.dims - 1]);
}
else {
HDF5JavaException ex = new HDF5JavaException(
"HDFArray: byteify Object type not implemented?");
HDF5JavaException ex = new HDF5JavaException("HDFArray: byteify Object type not implemented?");
throw (ex);
}
}
else {
HDF5JavaException ex = new HDF5JavaException(
"HDFArray: byteify unknown type not implemented?");
HDF5JavaException ex = new HDF5JavaException("HDFArray: byteify unknown type not implemented?");
throw (ex);
}
System
.arraycopy(
arow,
0,
_barray,
n,
(ArrayDescriptor.dimlen[ArrayDescriptor.dims] * ArrayDescriptor.NTsize));
System.arraycopy(arow, 0, _barray, n,
(ArrayDescriptor.dimlen[ArrayDescriptor.dims] * ArrayDescriptor.NTsize));
n += ArrayDescriptor.bytetoindex[ArrayDescriptor.dims - 1];
}
catch (OutOfMemoryError err) {
HDF5JavaException ex = new HDF5JavaException(
"HDFArray: byteify array too big?");
HDF5JavaException ex = new HDF5JavaException("HDFArray: byteify array too big?");
throw (ex);
}
}
/* assert: the whole array is completed--currentindex should == len - 1 */
/* error checks */
if (n < ArrayDescriptor.totalSize) {
throw new java.lang.InternalError(new String(
"HDFArray::byteify: Panic didn't complete all input data: n= "
+ n + " size = " + ArrayDescriptor.totalSize));
throw new java.lang.InternalError(new String("HDFArray::byteify: Panic didn't complete all input data: n= "
+ n + " size = " + ArrayDescriptor.totalSize));
}
for (i = 0; i < ArrayDescriptor.dims; i++) {
if (ArrayDescriptor.currentindex[i] != ArrayDescriptor.dimlen[i] - 1) {
throw new java.lang.InternalError(new String(
"Panic didn't complete all data: currentindex[" + i
+ "] = " + ArrayDescriptor.currentindex[i]
+ " (should be "
+ (ArrayDescriptor.dimlen[i] - 1) + " ?)"));
"Panic didn't complete all data: currentindex[" + i + "] = " + ArrayDescriptor.currentindex[i]
+ " (should be " + (ArrayDescriptor.dimlen[i] - 1) + " ?)"));
}
}
return _barray;
}
/**
* Given a one-dimensional array of bytes representing numbers, convert it
* to a java array of the shape and size passed to the constructor.
* Given a one-dimensional array of bytes representing numbers, convert it to a java array of the shape and size
* passed to the constructor.
*
* @param bytes
* The bytes to construct the Array.
* @return An Array (possibly multidimensional) of primitive or number
* objects.
* @exception hdf.hdf5lib.exceptions.HDF5JavaException
* the object not an array or other internal error.
* The bytes to construct the Array.
* @return
* An Array (possibly multidimensional) of primitive or number objects.
* @exception
* hdf.hdf5lib.exceptions.HDF5JavaException the object not an array or other internal error.
*/
public Object arrayify(byte[] bytes) throws HDF5JavaException {
public Object arrayify(byte[] bytes) throws HDF5JavaException
{
if (_theArray == null) {
/* exception: not an array */
HDF5JavaException ex = new HDF5JavaException(
"arrayify: not an array?: ");
HDF5JavaException ex = new HDF5JavaException("arrayify: not an array?: ");
throw (ex);
}
if (java.lang.reflect.Array.getLength(bytes) != ArrayDescriptor.totalSize) {
/* exception: array not right size */
HDF5JavaException ex = new HDF5JavaException(
"arrayify: array is wrong size?: ");
HDF5JavaException ex = new HDF5JavaException("arrayify: array is wrong size?: ");
throw (ex);
}
_barray = bytes; /* hope that the bytes are correct.... */
@@ -402,95 +333,76 @@ public class HDFArray {
try {
if (ArrayDescriptor.NT == 'I') {
int[] x = HDFNativeData.byteToInt(_barray);
System.arraycopy(x, 0, _theArray, 0,
ArrayDescriptor.dimlen[1]);
System.arraycopy(x, 0, _theArray, 0, ArrayDescriptor.dimlen[1]);
return _theArray;
}
else if (ArrayDescriptor.NT == 'S') {
short[] x = HDFNativeData.byteToShort(_barray);
System.arraycopy(x, 0, _theArray, 0,
ArrayDescriptor.dimlen[1]);
System.arraycopy(x, 0, _theArray, 0, ArrayDescriptor.dimlen[1]);
return _theArray;
}
else if (ArrayDescriptor.NT == 'F') {
float x[] = HDFNativeData.byteToFloat(_barray);
System.arraycopy(x, 0, _theArray, 0,
ArrayDescriptor.dimlen[1]);
System.arraycopy(x, 0, _theArray, 0, ArrayDescriptor.dimlen[1]);
return _theArray;
}
else if (ArrayDescriptor.NT == 'J') {
long x[] = HDFNativeData.byteToLong(_barray);
System.arraycopy(x, 0, _theArray, 0,
ArrayDescriptor.dimlen[1]);
System.arraycopy(x, 0, _theArray, 0, ArrayDescriptor.dimlen[1]);
return _theArray;
}
else if (ArrayDescriptor.NT == 'D') {
double x[] = HDFNativeData.byteToDouble(_barray);
System.arraycopy(x, 0, _theArray, 0,
ArrayDescriptor.dimlen[1]);
System.arraycopy(x, 0, _theArray, 0, ArrayDescriptor.dimlen[1]);
return _theArray;
}
else if (ArrayDescriptor.NT == 'B') {
System.arraycopy(_barray, 0, _theArray, 0,
ArrayDescriptor.dimlen[1]);
System.arraycopy(_barray, 0, _theArray, 0, ArrayDescriptor.dimlen[1]);
return _theArray;
}
else if (ArrayDescriptor.NT == 'L') {
if (ArrayDescriptor.className.equals("java.lang.Byte")) {
Byte I[] = ByteToByteObj(_barray);
System.arraycopy(I, 0, _theArray, 0,
ArrayDescriptor.dimlen[1]);
System.arraycopy(I, 0, _theArray, 0, ArrayDescriptor.dimlen[1]);
return _theArray;
}
else if (ArrayDescriptor.className
.equals("java.lang.Integer")) {
else if (ArrayDescriptor.className.equals("java.lang.Integer")) {
Integer I[] = ByteToInteger(_barray);
System.arraycopy(I, 0, _theArray, 0,
ArrayDescriptor.dimlen[1]);
System.arraycopy(I, 0, _theArray, 0, ArrayDescriptor.dimlen[1]);
return _theArray;
}
else if (ArrayDescriptor.className
.equals("java.lang.Short")) {
else if (ArrayDescriptor.className.equals("java.lang.Short")) {
Short I[] = ByteToShort(_barray);
System.arraycopy(I, 0, _theArray, 0,
ArrayDescriptor.dimlen[1]);
System.arraycopy(I, 0, _theArray, 0, ArrayDescriptor.dimlen[1]);
return _theArray;
}
else if (ArrayDescriptor.className
.equals("java.lang.Float")) {
else if (ArrayDescriptor.className.equals("java.lang.Float")) {
Float I[] = ByteToFloatObj(_barray);
System.arraycopy(I, 0, _theArray, 0,
ArrayDescriptor.dimlen[1]);
System.arraycopy(I, 0, _theArray, 0, ArrayDescriptor.dimlen[1]);
return _theArray;
}
else if (ArrayDescriptor.className
.equals("java.lang.Double")) {
else if (ArrayDescriptor.className.equals("java.lang.Double")) {
Double I[] = ByteToDoubleObj(_barray);
System.arraycopy(I, 0, _theArray, 0,
ArrayDescriptor.dimlen[1]);
System.arraycopy(I, 0, _theArray, 0, ArrayDescriptor.dimlen[1]);
return _theArray;
}
else if (ArrayDescriptor.className.equals("java.lang.Long")) {
Long I[] = ByteToLongObj(_barray);
System.arraycopy(I, 0, _theArray, 0,
ArrayDescriptor.dimlen[1]);
System.arraycopy(I, 0, _theArray, 0, ArrayDescriptor.dimlen[1]);
return _theArray;
}
else {
HDF5JavaException ex = new HDF5JavaException(
"arrayify: Object type not implemented yet...");
HDF5JavaException ex = new HDF5JavaException("arrayify: Object type not implemented yet...");
throw (ex);
}
}
else {
HDF5JavaException ex = new HDF5JavaException(
"arrayify: unknown type not implemented yet...");
HDF5JavaException ex = new HDF5JavaException("arrayify: unknown type not implemented yet...");
throw (ex);
}
}
catch (OutOfMemoryError err) {
HDF5JavaException ex = new HDF5JavaException(
"HDFArray: arrayify array too big?");
HDF5JavaException ex = new HDF5JavaException("HDFArray: arrayify array too big?");
throw (ex);
}
}
@@ -502,6 +414,7 @@ public class HDFArray {
int index = 0;
int i;
Object flattenedArray = null;
switch (ArrayDescriptor.NT) {
case 'J':
flattenedArray = (Object) HDFNativeData.byteToLong(_barray);
@@ -522,36 +435,27 @@ public class HDFArray {
flattenedArray = (Object) _barray;
break;
case 'L':
switch (ArrayDescriptor.className) {
case "java.lang.Byte":
flattenedArray = (Object) ByteToByteObj(_barray);
break;
case "java.lang.Short":
flattenedArray = (Object) ByteToShort(_barray);
break;
case "java.lang.Integer":
flattenedArray = (Object) ByteToInteger(_barray);
break;
case "java.lang.Long":
flattenedArray = (Object) ByteToLongObj(_barray);
break;
case "java.lang.Float":
flattenedArray = (Object) ByteToFloatObj(_barray);
break;
case "java.lang.Double":
flattenedArray = (Object) ByteToDoubleObj(_barray);
break;
default:
HDF5JavaException ex = new HDF5JavaException(
"HDFArray: unsupported Object type: "
+ ArrayDescriptor.NT);
throw (ex);
} // end of switch statement for arrays of boxed objects
default:
HDF5JavaException ex = new HDF5JavaException(
"HDFArray: unknown or unsupported type: "
+ ArrayDescriptor.NT);
throw (ex);
{
if (ArrayDescriptor.className.equals("java.lang.Byte"))
flattenedArray = (Object) ByteToByteObj(_barray);
else if (ArrayDescriptor.className.equals("java.lang.Short"))
flattenedArray = (Object) ByteToShort(_barray);
else if (ArrayDescriptor.className.equals("java.lang.Integer"))
flattenedArray = (Object) ByteToInteger(_barray);
else if (ArrayDescriptor.className.equals("java.lang.Long"))
flattenedArray = (Object) ByteToLongObj(_barray);
else if (ArrayDescriptor.className.equals("java.lang.Float"))
flattenedArray = (Object) ByteToFloatObj(_barray);
else if (ArrayDescriptor.className.equals("java.lang.Double"))
flattenedArray = (Object) ByteToDoubleObj(_barray);
else {
HDF5JavaException ex = new HDF5JavaException("HDFArray: unsupported Object type: " + ArrayDescriptor.NT);
throw (ex);
}
} // end of statement for arrays of boxed objects
default:
HDF5JavaException ex = new HDF5JavaException("HDFArray: unknown or unsupported type: " + ArrayDescriptor.NT);
throw (ex);
} // end of switch statement for arrays of primitives
while (n < ArrayDescriptor.totalSize) {
@@ -580,7 +484,6 @@ public class HDFArray {
/* array-ify */
try {
Object arow = null;
int mm = m + ArrayDescriptor.dimlen[ArrayDescriptor.dims];
switch (ArrayDescriptor.NT) {
@@ -603,75 +506,64 @@ public class HDFArray {
arow = (Object) Arrays.copyOfRange((double[]) flattenedArray, m, mm);
break;
case 'L':
switch (ArrayDescriptor.className) {
case "java.lang.Byte":
arow = (Object) Arrays.copyOfRange((Byte[])flattenedArray, m, mm);
break;
case "java.lang.Short":
arow = (Object) Arrays.copyOfRange((Short[])flattenedArray, m, mm);
break;
case "java.lang.Integer":
arow = (Object) Arrays.copyOfRange((Integer[])flattenedArray, m, mm);
break;
case "java.lang.Long":
arow = (Object) Arrays.copyOfRange((Long[])flattenedArray, m, mm);
break;
case "java.lang.Float":
arow = (Object) Arrays.copyOfRange((Float[])flattenedArray, m, mm);
break;
case "java.lang.Double":
arow = (Object) Arrays.copyOfRange((Double[])flattenedArray, m, mm);
break;
} // end of switch statement for arrays of boxed numerics
{
if (ArrayDescriptor.className.equals("java.lang.Byte"))
arow = (Object) Arrays.copyOfRange((Byte[]) flattenedArray, m, mm);
else if (ArrayDescriptor.className.equals("java.lang.Short"))
arow = (Object) Arrays.copyOfRange((Short[]) flattenedArray, m, mm);
else if (ArrayDescriptor.className.equals("java.lang.Integer"))
arow = (Object) Arrays.copyOfRange((Integer[]) flattenedArray, m, mm);
else if (ArrayDescriptor.className.equals("java.lang.Long"))
arow = (Object) Arrays.copyOfRange((Long[]) flattenedArray, m, mm);
else if (ArrayDescriptor.className.equals("java.lang.Float"))
arow = (Object) Arrays.copyOfRange((Float[]) flattenedArray, m, mm);
else if (ArrayDescriptor.className.equals("java.lang.Double"))
arow = (Object) Arrays.copyOfRange((Double[]) flattenedArray, m, mm);
else {
HDF5JavaException ex = new HDF5JavaException("HDFArray: unsupported Object type: " + ArrayDescriptor.NT);
throw (ex);
}
} // end of statement for arrays of boxed numerics
} // end of switch statement for arrays of primitives
java.lang.reflect.Array.set(
ArrayDescriptor.objs[ArrayDescriptor.dims - 2],
(ArrayDescriptor.currentindex[ArrayDescriptor.dims - 1]),
arow);
java.lang.reflect.Array.set(ArrayDescriptor.objs[ArrayDescriptor.dims - 2],
(ArrayDescriptor.currentindex[ArrayDescriptor.dims - 1]), arow);
n += ArrayDescriptor.bytetoindex[ArrayDescriptor.dims - 1];
ArrayDescriptor.currentindex[ArrayDescriptor.dims - 1]++;
m = mm;
}
catch (OutOfMemoryError err) {
HDF5JavaException ex = new HDF5JavaException(
"HDFArray: arrayify array too big?");
HDF5JavaException ex = new HDF5JavaException("HDFArray: arrayify array too big?");
throw (ex);
}
}
/* assert: the whole array is completed--currentindex should == len - 1 */
/* error checks */
if (n < ArrayDescriptor.totalSize) {
throw new java.lang.InternalError(new String(
"HDFArray::arrayify Panic didn't complete all input data: n= "
+ n + " size = " + ArrayDescriptor.totalSize));
throw new java.lang.InternalError(new String("HDFArray::arrayify Panic didn't complete all input data: n= "
+ n + " size = " + ArrayDescriptor.totalSize));
}
for (i = 0; i <= ArrayDescriptor.dims - 2; i++) {
if (ArrayDescriptor.currentindex[i] != ArrayDescriptor.dimlen[i] - 1) {
throw new java.lang.InternalError(new String(
"HDFArray::arrayify Panic didn't complete all data: currentindex["
+ i + "] = " + ArrayDescriptor.currentindex[i]
+ " (should be "
+ (ArrayDescriptor.dimlen[i] - 1) + "?"));
throw new java.lang.InternalError(
new String("HDFArray::arrayify Panic didn't complete all data: currentindex[" + i + "] = "
+ ArrayDescriptor.currentindex[i] + " (should be " + (ArrayDescriptor.dimlen[i] - 1)
+ "?"));
}
}
if (ArrayDescriptor.currentindex[ArrayDescriptor.dims - 1] != ArrayDescriptor.dimlen[ArrayDescriptor.dims - 1]) {
throw new java.lang.InternalError(new String(
"HDFArray::arrayify Panic didn't complete all data: currentindex["
+ i + "] = " + ArrayDescriptor.currentindex[i]
+ " (should be " + (ArrayDescriptor.dimlen[i])
+ "?"));
if (ArrayDescriptor.currentindex[ArrayDescriptor.dims - 1] != ArrayDescriptor.dimlen[ArrayDescriptor.dims
- 1]) {
throw new java.lang.InternalError(
new String("HDFArray::arrayify Panic didn't complete all data: currentindex[" + i + "] = "
+ ArrayDescriptor.currentindex[i] + " (should be " + (ArrayDescriptor.dimlen[i]) + "?"));
}
return _theArray;
}
private byte[] IntegerToByte(Integer in[]) {
private byte[] IntegerToByte(Integer in[])
{
int nelems = java.lang.reflect.Array.getLength(in);
int[] out = new int[nelems];
@@ -681,7 +573,8 @@ public class HDFArray {
return HDFNativeData.intToByte(0, nelems, out);
}
private Integer[] ByteToInteger(byte[] bin) {
private Integer[] ByteToInteger(byte[] bin)
{
int in[] = HDFNativeData.byteToInt(bin);
int nelems = java.lang.reflect.Array.getLength(in);
Integer[] out = new Integer[nelems];
@@ -692,7 +585,8 @@ public class HDFArray {
return out;
}
private Integer[] ByteToInteger(int start, int len, byte[] bin) {
private Integer[] ByteToInteger(int start, int len, byte[] bin)
{
int in[] = HDFNativeData.byteToInt(start, len, bin);
int nelems = java.lang.reflect.Array.getLength(in);
Integer[] out = new Integer[nelems];
@@ -703,7 +597,8 @@ public class HDFArray {
return out;
}
private byte[] ShortToByte(Short in[]) {
private byte[] ShortToByte(Short in[])
{
int nelems = java.lang.reflect.Array.getLength(in);
short[] out = new short[nelems];
@@ -713,7 +608,8 @@ public class HDFArray {
return HDFNativeData.shortToByte(0, nelems, out);
}
private Short[] ByteToShort(byte[] bin) {
private Short[] ByteToShort(byte[] bin)
{
short in[] = HDFNativeData.byteToShort(bin);
int nelems = java.lang.reflect.Array.getLength((Object) in);
Short[] out = new Short[nelems];
@@ -724,7 +620,8 @@ public class HDFArray {
return out;
}
private Short[] ByteToShort(int start, int len, byte[] bin) {
private Short[] ByteToShort(int start, int len, byte[] bin)
{
short in[] = (short[]) HDFNativeData.byteToShort(start, len, bin);
int nelems = java.lang.reflect.Array.getLength((Object) in);
Short[] out = new Short[nelems];
@@ -735,7 +632,8 @@ public class HDFArray {
return out;
}
private byte[] ByteObjToByte(Byte in[]) {
private byte[] ByteObjToByte(Byte in[])
{
int nelems = java.lang.reflect.Array.getLength((Object) in);
byte[] out = new byte[nelems];
@@ -745,7 +643,8 @@ public class HDFArray {
return out;
}
private Byte[] ByteToByteObj(byte[] bin) {
private Byte[] ByteToByteObj(byte[] bin)
{
int nelems = java.lang.reflect.Array.getLength((Object) bin);
Byte[] out = new Byte[nelems];
@@ -755,7 +654,8 @@ public class HDFArray {
return out;
}
private Byte[] ByteToByteObj(int start, int len, byte[] bin) {
private Byte[] ByteToByteObj(int start, int len, byte[] bin)
{
Byte[] out = new Byte[len];
for (int i = 0; i < len; i++) {
@@ -764,7 +664,8 @@ public class HDFArray {
return out;
}
private byte[] FloatObjToByte(Float in[]) {
private byte[] FloatObjToByte(Float in[])
{
int nelems = java.lang.reflect.Array.getLength((Object) in);
float[] out = new float[nelems];
@@ -774,7 +675,8 @@ public class HDFArray {
return HDFNativeData.floatToByte(0, nelems, out);
}
private Float[] ByteToFloatObj(byte[] bin) {
private Float[] ByteToFloatObj(byte[] bin)
{
float in[] = (float[]) HDFNativeData.byteToFloat(bin);
int nelems = java.lang.reflect.Array.getLength((Object) in);
Float[] out = new Float[nelems];
@@ -785,7 +687,8 @@ public class HDFArray {
return out;
}
private Float[] ByteToFloatObj(int start, int len, byte[] bin) {
private Float[] ByteToFloatObj(int start, int len, byte[] bin)
{
float in[] = (float[]) HDFNativeData.byteToFloat(start, len, bin);
int nelems = java.lang.reflect.Array.getLength((Object) in);
Float[] out = new Float[nelems];
@@ -796,7 +699,8 @@ public class HDFArray {
return out;
}
private byte[] DoubleObjToByte(Double in[]) {
private byte[] DoubleObjToByte(Double in[])
{
int nelems = java.lang.reflect.Array.getLength((Object) in);
double[] out = new double[nelems];
@@ -806,7 +710,8 @@ public class HDFArray {
return HDFNativeData.doubleToByte(0, nelems, out);
}
private Double[] ByteToDoubleObj(byte[] bin) {
private Double[] ByteToDoubleObj(byte[] bin)
{
double in[] = (double[]) HDFNativeData.byteToDouble(bin);
int nelems = java.lang.reflect.Array.getLength((Object) in);
Double[] out = new Double[nelems];
@@ -817,7 +722,8 @@ public class HDFArray {
return out;
}
private Double[] ByteToDoubleObj(int start, int len, byte[] bin) {
private Double[] ByteToDoubleObj(int start, int len, byte[] bin)
{
double in[] = (double[]) HDFNativeData.byteToDouble(start, len, bin);
int nelems = java.lang.reflect.Array.getLength((Object) in);
Double[] out = new Double[nelems];
@@ -828,7 +734,8 @@ public class HDFArray {
return out;
}
private byte[] LongObjToByte(Long in[]) {
private byte[] LongObjToByte(Long in[])
{
int nelems = java.lang.reflect.Array.getLength((Object) in);
long[] out = new long[nelems];
@@ -838,7 +745,8 @@ public class HDFArray {
return HDFNativeData.longToByte(0, nelems, out);
}
private Long[] ByteToLongObj(byte[] bin) {
private Long[] ByteToLongObj(byte[] bin)
{
long in[] = (long[]) HDFNativeData.byteToLong(bin);
int nelems = java.lang.reflect.Array.getLength((Object) in);
Long[] out = new Long[nelems];
@@ -849,7 +757,8 @@ public class HDFArray {
return out;
}
private Long[] ByteToLongObj(int start, int len, byte[] bin) {
private Long[] ByteToLongObj(int start, int len, byte[] bin)
{
long in[] = (long[]) HDFNativeData.byteToLong(start, len, bin);
int nelems = java.lang.reflect.Array.getLength((Object) in);
Long[] out = new Long[nelems];
@@ -862,13 +771,11 @@ public class HDFArray {
}
/**
* This private class is used by HDFArray to discover the shape and type of an
* arbitrary array.
* This private class is used by HDFArray to discover the shape and type of an arbitrary array.
* <p>
* We use java.lang.reflection here.
*/
class ArrayDescriptor {
static String theType = "";
static Class theClass = null;
static int[] dimlen = null;
@@ -883,13 +790,12 @@ class ArrayDescriptor {
static int dims = 0;
static String className;
public ArrayDescriptor(Object anArray) throws HDF5Exception {
public ArrayDescriptor(Object anArray) throws HDF5Exception
{
Class tc = anArray.getClass();
if (tc.isArray() == false) {
/* exception: not an array */
HDF5Exception ex = new HDF5JavaException(
"ArrayDescriptor: not an array?: ");
HDF5Exception ex = new HDF5JavaException("ArrayDescriptor: not an array?: ");
throw (ex);
}
@@ -921,10 +827,12 @@ class ArrayDescriptor {
else if (NT == 'S') {
NTsize = 2;
}
else if ((NT == 'I') || (NT == 'F')) {
else if ((NT == 'I')
|| (NT == 'F')) {
NTsize = 4;
}
else if ((NT == 'J') || (NT == 'D')) {
else if ((NT == 'J')
|| (NT == 'D')) {
NTsize = 8;
}
else if (css.startsWith("Ljava.lang.Byte")) {
@@ -961,16 +869,14 @@ class ArrayDescriptor {
NT = 'L';
className = "java.lang.String";
NTsize = 1;
throw new HDF5JavaException(new String(
"ArrayDesciptor: Warning: String array not fully supported yet"));
throw new HDF5JavaException(new String("ArrayDesciptor: Warning: String array not fully supported yet"));
}
else {
/*
* exception: not a numeric type
*/
throw new HDF5JavaException(new String(
"ArrayDesciptor: Error: array is not numeric (type is "
+ css + ") ?"));
throw new HDF5JavaException(
new String("ArrayDesciptor: Error: array is not numeric (type is " + css + ") ?"));
}
/* fill in the table */
@@ -1014,20 +920,19 @@ class ArrayDescriptor {
/**
* Debug dump
*/
public void dumpInfo() {
public void dumpInfo()
{
System.out.println("Type: " + theType);
System.out.println("Class: " + theClass);
System.out.println("NT: " + NT + " NTsize: " + NTsize);
System.out.println("Array has " + dims + " dimensions (" + totalSize
+ " bytes, " + totalElements + " elements)");
System.out
.println("Array has " + dims + " dimensions (" + totalSize + " bytes, " + totalElements + " elements)");
int i;
for (i = 0; i <= dims; i++) {
Class tc = objs[i].getClass();
String ss = tc.toString();
System.out.println(i + ": start " + dimstart[i] + ": len "
+ dimlen[i] + " current " + currentindex[i]
+ " bytetoindex " + bytetoindex[i] + " object " + objs[i]
+ " otype " + ss);
System.out.println(i + ": start " + dimstart[i] + ": len " + dimlen[i] + " current " + currentindex[i]
+ " bytetoindex " + bytetoindex[i] + " object " + objs[i] + " otype " + ss);
}
}
}