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authorAllen Byrne <50328838+byrnHDF@users.noreply.github.com>2023-09-26 13:46:15 (GMT)
committerGitHub <noreply@github.com>2023-09-26 13:46:15 (GMT)
commit830bf561e1236308cdffe0c519c6e779ec0929e3 (patch)
tree9ccbc8739c6d47dd8611fb9c24dca12d38662850
parent5bd7cf645342bdbcd9faafdb920ffef43a41e2e8 (diff)
downloadhdf5-830bf561e1236308cdffe0c519c6e779ec0929e3.zip
hdf5-830bf561e1236308cdffe0c519c6e779ec0929e3.tar.gz
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Merge CMake,doxygen changes from develop,1.10 branches (#3578)
* Merge CMake,doxygen changes from develop,1.10 branches * revert incorrect option in AT TS build * Use variable for ignore-eol usage. * Add last_test depends logic * Just print status on CMake below 3.14
-rw-r--r--.github/workflows/main.yml89
-rw-r--r--.github/workflows/netcdf.yml3
-rw-r--r--CMakeFilters.cmake2
-rw-r--r--CMakeInstallation.cmake8
-rw-r--r--config/cmake/fileCompareTest.cmake4
-rw-r--r--config/cmake/hdf5-config.cmake.in13
-rw-r--r--config/cmake/patch.xml.in (renamed from config/cmake/patch.xml)2
-rw-r--r--config/cmake/runTest.cmake4
-rw-r--r--config/cmake/scripts/HDF5options.cmake6
-rw-r--r--config/sanitizer/README.md2
-rw-r--r--config/toolchain/build32.cmake2
-rw-r--r--config/toolchain/clang.cmake16
-rw-r--r--config/toolchain/crayle.cmake10
-rw-r--r--config/toolchain/gcc.cmake12
-rw-r--r--config/toolchain/mingw64.cmake2
-rw-r--r--config/toolchain/pgi.cmake12
-rw-r--r--doxygen/dox/ExamplesAPI.dox1010
-rw-r--r--doxygen/dox/GettingStarted.dox4
-rw-r--r--doxygen/dox/IntroHDF5.dox2
-rw-r--r--doxygen/dox/IntroParExamples.dox569
-rw-r--r--doxygen/dox/IntroParHDF5.dox271
-rw-r--r--doxygen/dox/LearnBasics1.dox2
-rw-r--r--doxygen/img/pchunk_figa.gifbin0 -> 2754 bytes
-rw-r--r--doxygen/img/pchunk_figb.gifbin0 -> 2094 bytes
-rw-r--r--doxygen/img/pchunk_figc.gifbin0 -> 3194 bytes
-rw-r--r--doxygen/img/pchunk_figd.gifbin0 -> 2984 bytes
-rw-r--r--doxygen/img/pcont_hy_figa.gifbin0 -> 3201 bytes
-rw-r--r--doxygen/img/pcont_hy_figb.gifbin0 -> 2450 bytes
-rw-r--r--doxygen/img/pcont_hy_figc.gifbin0 -> 3694 bytes
-rw-r--r--doxygen/img/pcont_hy_figd.gifbin0 -> 2723 bytes
-rw-r--r--doxygen/img/ppatt_figa.gifbin0 -> 2359 bytes
-rw-r--r--doxygen/img/ppatt_figb.gifbin0 -> 2431 bytes
-rw-r--r--doxygen/img/ppatt_figc.gifbin0 -> 2616 bytes
-rw-r--r--doxygen/img/ppatt_figd.gifbin0 -> 2505 bytes
-rw-r--r--doxygen/img/preg_figa.gifbin0 -> 2359 bytes
-rw-r--r--doxygen/img/preg_figb.gifbin0 -> 2033 bytes
-rw-r--r--doxygen/img/preg_figc.gifbin0 -> 3242 bytes
-rw-r--r--doxygen/img/preg_figd.gifbin0 -> 2367 bytes
-rw-r--r--examples/CMakeTests.cmake4
-rw-r--r--java/examples/datasets/CMakeLists.txt2
-rw-r--r--tools/test/h5diff/CMakeTests.cmake4
-rw-r--r--tools/test/h5dump/CMakeTests.cmake8
-rw-r--r--tools/test/misc/CMakeTestsClear.cmake8
43 files changed, 2004 insertions, 67 deletions
diff --git a/.github/workflows/main.yml b/.github/workflows/main.yml
index e87b627..10b3a9c 100644
--- a/.github/workflows/main.yml
+++ b/.github/workflows/main.yml
@@ -336,30 +336,31 @@ jobs:
- name: Dump matrix context
run: echo '${{ toJSON(matrix) }}'
- - name: Install CMake Dependencies (Linux)
- run: sudo apt-get install ninja-build doxygen graphviz
- if: matrix.os == 'ubuntu-latest'
-
- - name: Install Autotools Dependencies (Linux, serial)
+ # Only CMake need ninja-build, but we just install it unilaterally
+ # libssl, etc. are needed for the ros3 VFD
+ - name: Install Linux Dependencies
run: |
sudo apt update
- sudo apt install automake autoconf libtool libtool-bin
- sudo apt install gcc-12 g++-12 gfortran-12
+ sudo apt-get install ninja-build doxygen graphviz
sudo apt install libssl3 libssl-dev libcurl4 libcurl4-openssl-dev
+ sudo apt install gcc-12 g++-12 gfortran-12
echo "CC=gcc-12" >> $GITHUB_ENV
echo "CXX=g++-12" >> $GITHUB_ENV
echo "FC=gfortran-12" >> $GITHUB_ENV
+ if: matrix.os == 'ubuntu-latest'
+
+ # CMake gets libaec from fetchcontent
+ - name: Install Autotools Dependencies (Linux)
+ run: |
+ sudo apt install automake autoconf libtool libtool-bin
sudo apt install libaec0 libaec-dev
- if: (matrix.generator == 'autogen') && (matrix.parallel != 'enable')
+ if: (matrix.generator == 'autogen')
- name: Install Autotools Dependencies (Linux, parallel)
run: |
- sudo apt update
- sudo apt install automake autoconf libtool libtool-bin
sudo apt install openmpi-bin openmpi-common mpi-default-dev
echo "CC=mpicc" >> $GITHUB_ENV
echo "FC=mpif90" >> $GITHUB_ENV
- sudo apt install libaec0 libaec-dev
if: (matrix.generator == 'autogen') && (matrix.parallel == 'enable')
- name: Install Dependencies (Windows)
@@ -390,7 +391,19 @@ jobs:
sh ./autogen.sh
mkdir "${{ runner.workspace }}/build"
cd "${{ runner.workspace }}/build"
- ${{ matrix.flags }} $GITHUB_WORKSPACE/configure --enable-build-mode=${{ matrix.build_mode.autotools }} --${{ matrix.deprec_sym }}-deprecated-symbols --with-default-api-version=${{ matrix.default_api }} --enable-shared --${{ matrix.parallel }}-parallel --${{ matrix.cpp }}-cxx --${{ matrix.fortran }}-fortran --${{ matrix.java }}-java --${{ matrix.mirror_vfd }}-mirror-vfd --${{ matrix.direct_vfd }}-direct-vfd --${{ matrix.ros3_vfd }}-ros3-vfd --with-szlib=${{ matrix.szip }}
+ ${{ matrix.flags }} $GITHUB_WORKSPACE/configure \
+ --enable-build-mode=${{ matrix.build_mode.autotools }} \
+ --${{ matrix.deprec_sym }}-deprecated-symbols \
+ --with-default-api-version=${{ matrix.default_api }} \
+ --enable-shared \
+ --${{ matrix.parallel }}-parallel \
+ --${{ matrix.cpp }}-cxx \
+ --${{ matrix.fortran }}-fortran \
+ --${{ matrix.java }}-java \
+ --${{ matrix.mirror_vfd }}-mirror-vfd \
+ --${{ matrix.direct_vfd }}-direct-vfd \
+ --${{ matrix.ros3_vfd }}-ros3-vfd \
+ --with-szlib=${{ matrix.szip }}
shell: bash
if: (matrix.generator == 'autogen') && ! (matrix.thread_safety.enabled)
@@ -399,7 +412,15 @@ jobs:
sh ./autogen.sh
mkdir "${{ runner.workspace }}/build"
cd "${{ runner.workspace }}/build"
- ${{ matrix.flags }} $GITHUB_WORKSPACE/configure --enable-build-mode=${{ matrix.build_mode.autotools }} --enable-shared --enable-threadsafe --disable-hl --${{ matrix.mirror_vfd }}-mirror-vfd --${{ matrix.direct_vfd }}-direct-vfd --${{ matrix.ros3_vfd }}-ros3-vfd --with-szlib=${{ matrix.szip }}
+ ${{ matrix.flags }} $GITHUB_WORKSPACE/configure \
+ --enable-build-mode=${{ matrix.build_mode.autotools }} \
+ --enable-shared \
+ --enable-threadsafe \
+ --disable-hl \
+ --${{ matrix.mirror_vfd }}-mirror-vfd \
+ --${{ matrix.direct_vfd }}-direct-vfd \
+ --${{ matrix.ros3_vfd }}-ros3-vfd \
+ --with-szlib=${{ matrix.szip }}
shell: bash
if: (matrix.generator == 'autogen') && (matrix.thread_safety.enabled)
@@ -411,7 +432,25 @@ jobs:
run: |
mkdir "${{ runner.workspace }}/build"
cd "${{ runner.workspace }}/build"
- cmake -C $GITHUB_WORKSPACE/config/cmake/cacheinit.cmake ${{ matrix.generator }} -DCMAKE_BUILD_TYPE=${{ matrix.build_mode.cmake }} -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=${{ matrix.java }} -DHDF5_BUILD_DOC=${{ matrix.docs }} -DBUILD_SZIP_WITH_FETCHCONTENT=${{ matrix.libaecfc }} -DLIBAEC_USE_LOCALCONTENT=${{ matrix.localaec }} -DBUILD_ZLIB_WITH_FETCHCONTENT=${{ matrix.zlibfc }} -DZLIB_USE_LOCALCONTENT=${{ matrix.localzlib }} -DHDF5_ENABLE_MIRROR_VFD:BOOL=${{ matrix.mirror_vfd }} -DHDF5_ENABLE_DIRECT_VFD:BOOL=${{ matrix.direct_vfd }} -DHDF5_ENABLE_ROS3_VFD:BOOL=${{ matrix.ros3_vfd }} $GITHUB_WORKSPACE
+ cmake -C $GITHUB_WORKSPACE/config/cmake/cacheinit.cmake \
+ ${{ matrix.generator }} \
+ -DCMAKE_BUILD_TYPE=${{ matrix.build_mode.cmake }} \
+ -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=${{ matrix.java }} \
+ -DHDF5_BUILD_DOC=${{ matrix.docs }} \
+ -DBUILD_SZIP_WITH_FETCHCONTENT=${{ matrix.libaecfc }} \
+ -DLIBAEC_USE_LOCALCONTENT=${{ matrix.localaec }} \
+ -DBUILD_ZLIB_WITH_FETCHCONTENT=${{ matrix.zlibfc }} \
+ -DZLIB_USE_LOCALCONTENT=${{ matrix.localzlib }} \
+ -DHDF5_ENABLE_MIRROR_VFD:BOOL=${{ matrix.mirror_vfd }} \
+ -DHDF5_ENABLE_DIRECT_VFD:BOOL=${{ matrix.direct_vfd }} \
+ -DHDF5_ENABLE_ROS3_VFD:BOOL=${{ matrix.ros3_vfd }} \
+ $GITHUB_WORKSPACE
shell: bash
if: (matrix.generator != 'autogen') && ! (matrix.thread_safety.enabled)
@@ -420,7 +459,27 @@ jobs:
run: |
mkdir "${{ runner.workspace }}/build"
cd "${{ runner.workspace }}/build"
- cmake -C $GITHUB_WORKSPACE/config/cmake/cacheinit.cmake ${{ matrix.generator }} -DCMAKE_BUILD_TYPE=${{ matrix.build_mode.cmake }} -DCMAKE_TOOLCHAIN_FILE=${{ matrix.toolchain }} -DBUILD_SHARED_LIBS=ON -DHDF5_ENABLE_ALL_WARNINGS=ON -DHDF5_ENABLE_THREADSAFE:BOOL=ON -DHDF5_ENABLE_PARALLEL:BOOL=${{ matrix.parallel }} -DHDF5_BUILD_CPP_LIB:BOOL=OFF -DHDF5_BUILD_FORTRAN:BOOL=OFF -DHDF5_BUILD_JAVA:BOOL=OFF -DHDF5_BUILD_HL_LIB:BOOL=OFF -DHDF5_BUILD_DOC=OFF -DBUILD_SZIP_WITH_FETCHCONTENT=${{ matrix.libaecfc }} -DLIBAEC_USE_LOCALCONTENT=${{ matrix.localaec }} -DBUILD_ZLIB_WITH_FETCHCONTENT=${{ matrix.zlibfc }} -DZLIB_USE_LOCALCONTENT=${{ matrix.localzlib }} -DHDF5_ENABLE_MIRROR_VFD:BOOL=${{ matrix.mirror_vfd }} -DHDF5_ENABLE_DIRECT_VFD:BOOL=${{ matrix.direct_vfd }} -DHDF5_ENABLE_ROS3_VFD:BOOL=${{ matrix.ros3_vfd }} $GITHUB_WORKSPACE
+ cmake -C $GITHUB_WORKSPACE/config/cmake/cacheinit.cmake \
+ ${{ matrix.generator }} \
+ -DCMAKE_BUILD_TYPE=${{ matrix.build_mode.cmake }} \
+ -DCMAKE_TOOLCHAIN_FILE=${{ matrix.toolchain }} \
+ -DBUILD_SHARED_LIBS=ON \
+ -DHDF5_ENABLE_ALL_WARNINGS=ON \
+ -DHDF5_ENABLE_THREADSAFE:BOOL=ON \
+ -DHDF5_ENABLE_PARALLEL:BOOL=${{ matrix.parallel }} \
+ -DHDF5_BUILD_CPP_LIB:BOOL=OFF \
+ -DHDF5_BUILD_FORTRAN:BOOL=OFF \
+ -DHDF5_BUILD_JAVA:BOOL=OFF \
+ -DHDF5_BUILD_HL_LIB:BOOL=OFF \
+ -DHDF5_BUILD_DOC=OFF \
+ -DBUILD_SZIP_WITH_FETCHCONTENT=${{ matrix.libaecfc }} \
+ -DLIBAEC_USE_LOCALCONTENT=${{ matrix.localaec }} \
+ -DBUILD_ZLIB_WITH_FETCHCONTENT=${{ matrix.zlibfc }} \
+ -DZLIB_USE_LOCALCONTENT=${{ matrix.localzlib }} \
+ -DHDF5_ENABLE_MIRROR_VFD:BOOL=${{ matrix.mirror_vfd }} \
+ -DHDF5_ENABLE_DIRECT_VFD:BOOL=${{ matrix.direct_vfd }} \
+ -DHDF5_ENABLE_ROS3_VFD:BOOL=${{ matrix.ros3_vfd }} \
+ $GITHUB_WORKSPACE
shell: bash
if: (matrix.generator != 'autogen') && (matrix.thread_safety.enabled)
diff --git a/.github/workflows/netcdf.yml b/.github/workflows/netcdf.yml
index 0ec7541..5b1ebf2 100644
--- a/.github/workflows/netcdf.yml
+++ b/.github/workflows/netcdf.yml
@@ -14,6 +14,9 @@ on:
- 'COPYING**'
- '**.md'
+permissions:
+ contents: read
+
# Using concurrency to cancel any in-progress job or run
concurrency:
group: ${{ github.workflow }}-${{ github.sha || github.event.pull_request.number }}
diff --git a/CMakeFilters.cmake b/CMakeFilters.cmake
index 200634e..3a1a0de 100644
--- a/CMakeFilters.cmake
+++ b/CMakeFilters.cmake
@@ -9,7 +9,7 @@
# If you do not have access to either file, you may request a copy from
# help@hdfgroup.org.
#
-option (USE_LIBAEC "Use AEC library as SZip Filter" OFF)
+option (USE_LIBAEC "Use AEC library as SZip Filter" ON)
option (USE_LIBAEC_STATIC "Use static AEC library " OFF)
option (ZLIB_USE_EXTERNAL "Use External Library Building for ZLIB" 0)
option (SZIP_USE_EXTERNAL "Use External Library Building for SZIP" 0)
diff --git a/CMakeInstallation.cmake b/CMakeInstallation.cmake
index 1fb7714..3aa7981 100644
--- a/CMakeInstallation.cmake
+++ b/CMakeInstallation.cmake
@@ -390,7 +390,13 @@ if (NOT HDF5_EXTERNALLY_CONFIGURED AND NOT HDF5_NO_PACKAGES)
set(CPACK_WIX_PROPERTY_ARPURLINFOABOUT "${HDF5_PACKAGE_URL}")
set(CPACK_WIX_PROPERTY_ARPHELPLINK "${HDF5_PACKAGE_BUGREPORT}")
if (BUILD_SHARED_LIBS)
- set(CPACK_WIX_PATCH_FILE "${HDF_RESOURCES_DIR}/patch.xml")
+ if (${HDF_CFG_NAME} MATCHES "Debug" OR ${HDF_CFG_NAME} MATCHES "Developer")
+ set (WIX_CMP_NAME "${HDF5_LIB_NAME}${CMAKE_DEBUG_POSTFIX}")
+ else ()
+ set (WIX_CMP_NAME "${HDF5_LIB_NAME}")
+ endif ()
+ configure_file (${HDF_RESOURCES_DIR}/patch.xml.in ${HDF5_BINARY_DIR}/patch.xml @ONLY)
+ set(CPACK_WIX_PATCH_FILE "${HDF5_BINARY_DIR}/patch.xml")
endif ()
elseif (APPLE)
list (APPEND CPACK_GENERATOR "STGZ")
diff --git a/config/cmake/fileCompareTest.cmake b/config/cmake/fileCompareTest.cmake
index 4a8dc09..f4c46f6 100644
--- a/config/cmake/fileCompareTest.cmake
+++ b/config/cmake/fileCompareTest.cmake
@@ -59,7 +59,7 @@ if (TEST_STRINGS STREQUAL "YES")
endif ()
else ()
if (CMAKE_VERSION VERSION_LESS "3.14.0")
- message (FATAL_ERROR "CANNOT get file size, file command SIZE not supported")
+ message (STATUS "CANNOT get file size, file command SIZE not supported")
else ()
file (SIZE ${TEST_FOLDER}/${TEST_ONEFILE} TEST_ONE_SIZE)
file (SIZE ${TEST_FOLDER}/${TEST_TWOFILE} TEST_TWO_SIZE)
@@ -74,7 +74,7 @@ else ()
elseif (TEST_FUNCTION MATCHES "LTEQ")
if (TEST_ONE_SIZE LESS_EQUAL TEST_TWO_SIZE)
if (CMAKE_VERSION VERSION_GREATER_EQUAL "3.15.0")
- message (VERBOSES "Passed: The size of ${TEST_FOLDER}/${TEST_ONEFILE} was less or equal ${TEST_FOLDER}/${TEST_TWOFILE}")
+ message (VERBOSE "Passed: The size of ${TEST_FOLDER}/${TEST_ONEFILE} was less or equal ${TEST_FOLDER}/${TEST_TWOFILE}")
endif ()
else ()
message (FATAL_ERROR "The size of ${TEST_FOLDER}/${TEST_ONEFILE} was NOT less or equal ${TEST_FOLDER}/${TEST_TWOFILE}")
diff --git a/config/cmake/hdf5-config.cmake.in b/config/cmake/hdf5-config.cmake.in
index 699db89..496d260 100644
--- a/config/cmake/hdf5-config.cmake.in
+++ b/config/cmake/hdf5-config.cmake.in
@@ -44,6 +44,7 @@ set (${HDF5_PACKAGE_NAME}_ENABLE_PLUGIN_SUPPORT @HDF5_ENABLE_PLUGIN_SUPPORT@)
set (${HDF5_PACKAGE_NAME}_ENABLE_Z_LIB_SUPPORT @HDF5_ENABLE_Z_LIB_SUPPORT@)
set (${HDF5_PACKAGE_NAME}_ENABLE_SZIP_SUPPORT @HDF5_ENABLE_SZIP_SUPPORT@)
set (${HDF5_PACKAGE_NAME}_ENABLE_SZIP_ENCODING @HDF5_ENABLE_SZIP_ENCODING@)
+set (${HDF5_PACKAGE_NAME}_ENABLE_ROS3_VFD @HDF5_ENABLE_ROS3_VFD@)
set (${HDF5_PACKAGE_NAME}_BUILD_SHARED_LIBS @H5_ENABLE_SHARED_LIB@)
set (${HDF5_PACKAGE_NAME}_BUILD_STATIC_LIBS @H5_ENABLE_STATIC_LIB@)
set (${HDF5_PACKAGE_NAME}_PACKAGE_EXTLIBS @HDF5_PACKAGE_EXTLIBS@)
@@ -51,7 +52,8 @@ set (${HDF5_PACKAGE_NAME}_EXPORT_LIBRARIES @HDF5_LIBRARIES_TO_EXPORT@)
set (${HDF5_PACKAGE_NAME}_ARCHITECTURE "@CMAKE_GENERATOR_ARCHITECTURE@")
set (${HDF5_PACKAGE_NAME}_TOOLSET "@CMAKE_GENERATOR_TOOLSET@")
set (${HDF5_PACKAGE_NAME}_DEFAULT_API_VERSION "@DEFAULT_API_VERSION@")
-set (${HDF5_PACKAGE_NAME}_PARALLEL_FILTERED_WRITES "@PARALLEL_FILTERED_WRITES@")
+set (${HDF5_PACKAGE_NAME}_PARALLEL_FILTERED_WRITES @PARALLEL_FILTERED_WRITES@)
+set (${HDF5_PACKAGE_NAME}_INSTALL_MOD_FORTRAN "@HDF5_INSTALL_MOD_FORTRAN@")
#-----------------------------------------------------------------------------
# Dependencies
@@ -67,6 +69,11 @@ if (${HDF5_PACKAGE_NAME}_ENABLE_PARALLEL)
find_package(MPI QUIET REQUIRED)
endif ()
+if (${HDF5_PACKAGE_NAME}_ENABLE_THREADSAFE)
+ set(THREADS_PREFER_PTHREAD_FLAG ON)
+ find_package(Threads QUIET REQUIRED)
+endif ()
+
if (${HDF5_PACKAGE_NAME}_BUILD_JAVA)
set (${HDF5_PACKAGE_NAME}_JAVA_INCLUDE_DIRS
@PACKAGE_CURRENT_BUILD_DIR@/lib/jarhdf5-@HDF5_VERSION_STRING@.jar
@@ -143,14 +150,14 @@ foreach (comp IN LISTS ${HDF5_PACKAGE_NAME}_FIND_COMPONENTS)
list (REMOVE_ITEM ${HDF5_PACKAGE_NAME}_FIND_COMPONENTS ${comp})
set (${HDF5_PACKAGE_NAME}_LIB_TYPE ${${HDF5_PACKAGE_NAME}_LIB_TYPE} ${comp})
- if (${HDF5_PACKAGE_NAME}_BUILD_FORTRAN)
+ if (${HDF5_PACKAGE_NAME}_BUILD_FORTRAN AND ${HDF5_PACKAGE_NAME}_INSTALL_MOD_FORTRAN STREQUAL "SHARED")
set (${HDF5_PACKAGE_NAME}_INCLUDE_DIR_FORTRAN "@PACKAGE_INCLUDE_INSTALL_DIR@/shared")
endif ()
elseif (comp STREQUAL "static")
list (REMOVE_ITEM ${HDF5_PACKAGE_NAME}_FIND_COMPONENTS ${comp})
set (${HDF5_PACKAGE_NAME}_LIB_TYPE ${${HDF5_PACKAGE_NAME}_LIB_TYPE} ${comp})
- if (${HDF5_PACKAGE_NAME}_BUILD_FORTRAN)
+ if (${HDF5_PACKAGE_NAME}_BUILD_FORTRAN AND ${HDF5_PACKAGE_NAME}_INSTALL_MOD_FORTRAN STREQUAL "STATIC")
set (${HDF5_PACKAGE_NAME}_INCLUDE_DIR_FORTRAN "@PACKAGE_INCLUDE_INSTALL_DIR@/static")
endif ()
endif ()
diff --git a/config/cmake/patch.xml b/config/cmake/patch.xml.in
index 1bdff3e..d6843e1 100644
--- a/config/cmake/patch.xml
+++ b/config/cmake/patch.xml.in
@@ -1,5 +1,5 @@
<CPackWiXPatch>
- <CPackWiXFragment Id="CM_CP_libraries.bin.hdf5.dll">
+ <CPackWiXFragment Id="CM_CP_libraries.bin.@WIX_CMP_NAME@.dll">
<Environment Id="PATH"
Name="PATH"
Value="[CM_DP_libraries.bin]"
diff --git a/config/cmake/runTest.cmake b/config/cmake/runTest.cmake
index e26b8ea..b8abe92 100644
--- a/config/cmake/runTest.cmake
+++ b/config/cmake/runTest.cmake
@@ -122,6 +122,10 @@ if (NOT TEST_RESULT EQUAL TEST_EXPECT)
file (READ ${TEST_FOLDER}/${TEST_OUTPUT} TEST_STREAM)
message (STATUS "Output :\n${TEST_STREAM}")
endif ()
+ if (EXISTS "${TEST_FOLDER}/${TEST_OUTPUT}.err")
+ file (READ ${TEST_FOLDER}/${TEST_OUTPUT}.err TEST_STREAM)
+ message (STATUS "Error Output :\n${TEST_STREAM}")
+ endif ()
endif ()
message (FATAL_ERROR "Failed: Test program ${TEST_PROGRAM} exited != ${TEST_EXPECT}.\n${TEST_ERROR}")
endif ()
diff --git a/config/cmake/scripts/HDF5options.cmake b/config/cmake/scripts/HDF5options.cmake
index 5267212..92bfd37 100644
--- a/config/cmake/scripts/HDF5options.cmake
+++ b/config/cmake/scripts/HDF5options.cmake
@@ -69,9 +69,9 @@ set (ADD_BUILD_OPTIONS "${ADD_BUILD_OPTIONS} -DHDF5_ALLOW_EXTERNAL_SUPPORT:STRIN
### disable using ext zlib
#set (ADD_BUILD_OPTIONS "${ADD_BUILD_OPTIONS} -DHDF5_ENABLE_Z_LIB_SUPPORT:BOOL=OFF")
-### enable using ext szip
-#set (ADD_BUILD_OPTIONS "${ADD_BUILD_OPTIONS} -DHDF5_ENABLE_SZIP_SUPPORT:BOOL=ON")
-#set (ADD_BUILD_OPTIONS "${ADD_BUILD_OPTIONS} -DHDF5_ENABLE_SZIP_ENCODING:BOOL=ON")
+### disable using ext szip
+#set (ADD_BUILD_OPTIONS "${ADD_BUILD_OPTIONS} -DHDF5_ENABLE_SZIP_SUPPORT:BOOL=OFF")
+#set (ADD_BUILD_OPTIONS "${ADD_BUILD_OPTIONS} -DHDF5_ENABLE_SZIP_ENCODING:BOOL=OFF")
#### package examples ####
#set (ADD_BUILD_OPTIONS "${ADD_BUILD_OPTIONS} -DHDF5_PACK_EXAMPLES:BOOL=ON -DHDF5_EXAMPLES_COMPRESSED:STRING=HDF5Examples-2.0.3-Source.tar.gz -DHDF5_EXAMPLES_COMPRESSED_DIR:PATH=${CTEST_SCRIPT_DIRECTORY}")
diff --git a/config/sanitizer/README.md b/config/sanitizer/README.md
index 308f9c3..b33c100 100644
--- a/config/sanitizer/README.md
+++ b/config/sanitizer/README.md
@@ -304,4 +304,4 @@ file(GLOB_RECURSE CMAKE_FILES
)
cmake_format(TARGET_NAME ${CMAKE_FILES})
-``` \ No newline at end of file
+```
diff --git a/config/toolchain/build32.cmake b/config/toolchain/build32.cmake
index a2566c3..f636ea8 100644
--- a/config/toolchain/build32.cmake
+++ b/config/toolchain/build32.cmake
@@ -42,7 +42,7 @@ elseif(MINGW)
set (CMAKE_CROSSCOMPILING_EMULATOR wine)
include_directories(/usr/${TOOLCHAIN_PREFIX}/include)
- set(CMAKE_WINDOWS_EXPORT_ALL_SYMBOLS On CACHE BOOL "Export windows symbols")
+ set (CMAKE_WINDOWS_EXPORT_ALL_SYMBOLS On CACHE BOOL "Export windows symbols")
else ()
set (CMAKE_SYSTEM_NAME Linux)
diff --git a/config/toolchain/clang.cmake b/config/toolchain/clang.cmake
index af176aa..2d35641 100644
--- a/config/toolchain/clang.cmake
+++ b/config/toolchain/clang.cmake
@@ -1,16 +1,16 @@
# Uncomment the following to use cross-compiling
-#set(CMAKE_SYSTEM_NAME Linux)
+#set (CMAKE_SYSTEM_NAME Linux)
-set(CMAKE_COMPILER_VENDOR "clang")
+set (CMAKE_COMPILER_VENDOR "clang")
if(WIN32)
- set(CMAKE_C_COMPILER clang-cl)
- set(CMAKE_CXX_COMPILER clang-cl)
+ set (CMAKE_C_COMPILER clang-cl)
+ set (CMAKE_CXX_COMPILER clang-cl)
else()
- set(CMAKE_C_COMPILER clang)
- set(CMAKE_CXX_COMPILER clang++)
+ set (CMAKE_C_COMPILER clang)
+ set (CMAKE_CXX_COMPILER clang++)
endif()
-set(CMAKE_EXPORT_COMPILE_COMMANDS ON)
+set (CMAKE_EXPORT_COMPILE_COMMANDS ON)
# the following is used if cross-compiling
-set(CMAKE_CROSSCOMPILING_EMULATOR "")
+set (CMAKE_CROSSCOMPILING_EMULATOR "")
diff --git a/config/toolchain/crayle.cmake b/config/toolchain/crayle.cmake
index bf7cf69..02df8ff 100644
--- a/config/toolchain/crayle.cmake
+++ b/config/toolchain/crayle.cmake
@@ -1,10 +1,10 @@
# The following line will use cross-compiling
-set(CMAKE_SYSTEM_NAME Linux)
+set (CMAKE_SYSTEM_NAME Linux)
-set(CMAKE_COMPILER_VENDOR "CrayLinuxEnvironment")
+set (CMAKE_COMPILER_VENDOR "CrayLinuxEnvironment")
-set(CMAKE_C_COMPILER cc)
-set(CMAKE_Fortran_COMPILER ftn)
+set (CMAKE_C_COMPILER cc)
+set (CMAKE_Fortran_COMPILER ftn)
# the following is used if cross-compiling
-set(CMAKE_CROSSCOMPILING_EMULATOR "")
+set (CMAKE_CROSSCOMPILING_EMULATOR "")
diff --git a/config/toolchain/gcc.cmake b/config/toolchain/gcc.cmake
index c41d0ca..f0771ed 100644
--- a/config/toolchain/gcc.cmake
+++ b/config/toolchain/gcc.cmake
@@ -1,11 +1,11 @@
# Uncomment the following line and the correct system name to use cross-compiling
-#set(CMAKE_SYSTEM_NAME Linux)
+#set (CMAKE_SYSTEM_NAME Linux)
-set(CMAKE_COMPILER_VENDOR "GCC")
+set (CMAKE_COMPILER_VENDOR "GCC")
-set(CMAKE_C_COMPILER cc)
-set(CMAKE_CXX_COMPILER c++)
-set(CMAKE_Fortran_COMPILER gfortran)
+set (CMAKE_C_COMPILER cc)
+set (CMAKE_CXX_COMPILER c++)
+set (CMAKE_Fortran_COMPILER gfortran)
# the following is used if cross-compiling
-set(CMAKE_CROSSCOMPILING_EMULATOR "")
+set (CMAKE_CROSSCOMPILING_EMULATOR "")
diff --git a/config/toolchain/mingw64.cmake b/config/toolchain/mingw64.cmake
index 1830488..1b13891 100644
--- a/config/toolchain/mingw64.cmake
+++ b/config/toolchain/mingw64.cmake
@@ -11,4 +11,4 @@ set (CMAKE_FIND_ROOT_PATH_MODE_INCLUDE ONLY)
set (CMAKE_CROSSCOMPILING_EMULATOR wine64)
include_directories(/usr/${TOOLCHAIN_PREFIX}/include)
-set(CMAKE_WINDOWS_EXPORT_ALL_SYMBOLS On CACHE BOOL "Export windows symbols")
+set (CMAKE_WINDOWS_EXPORT_ALL_SYMBOLS On CACHE BOOL "Export windows symbols")
diff --git a/config/toolchain/pgi.cmake b/config/toolchain/pgi.cmake
index ec58cbb..ff2f048 100644
--- a/config/toolchain/pgi.cmake
+++ b/config/toolchain/pgi.cmake
@@ -1,11 +1,11 @@
# Uncomment the following to use cross-compiling
-#set(CMAKE_SYSTEM_NAME Linux)
+#set (CMAKE_SYSTEM_NAME Linux)
-set(CMAKE_COMPILER_VENDOR "PGI")
+set (CMAKE_COMPILER_VENDOR "PGI")
-set(CMAKE_C_COMPILER pgcc)
-set(CMAKE_CXX_COMPILER pgc++)
-set(CMAKE_Fortran_COMPILER pgf90)
+set (CMAKE_C_COMPILER pgcc)
+set (CMAKE_CXX_COMPILER pgc++)
+set (CMAKE_Fortran_COMPILER pgf90)
# the following is used if cross-compiling
-set(CMAKE_CROSSCOMPILING_EMULATOR "")
+set (CMAKE_CROSSCOMPILING_EMULATOR "")
diff --git a/doxygen/dox/ExamplesAPI.dox b/doxygen/dox/ExamplesAPI.dox
new file mode 100644
index 0000000..8f88c4e
--- /dev/null
+++ b/doxygen/dox/ExamplesAPI.dox
@@ -0,0 +1,1010 @@
+/** @page ExAPI Examples by API
+
+Navigate back: \ref index "Main" / \ref GettingStarted
+<hr>
+
+\section sec_exapi_desc Examples Description
+The C, FORTRAN and Java examples below point to the examples in the hdf5-examples github repository. Examples for older versions of HDF5
+are handled by setting the appropriate USE_API_xxx definition. HDF5-1.6 examples are in a "16"-named subdirectory.
+
+The Java examples are in the HDF5-1.10 source code, and the Java Object package examples are in the HDFView source.
+<em>Please note that you must comment out the "package" statement at the top when downloading a Java Object example individually.</em>
+
+The MATLAB and Python examples were generously provided by a user and are not tested.
+
+Languages are C, Fortran, Java (JHI5), Java Object Package, Python (High Level), and Python (Low Level APIs).
+
+\subsection sec_exapi_dsets Datasets
+
+<table>
+<tr>
+<th>Feature</th>
+<th>Languages</th>
+<th>HDF5 File</th>
+<th>Output</th>
+<th>DDL</th>
+</tr>
+<tr>
+<td>Set Space Allocation Time for Dataset</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/h5ex_d_alloc.c">C</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/FORTRAN/H5D/h5ex_d_alloc.F90">FORTRAN</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Java/H5D/H5Ex_D_Alloc.java">Java</a>
+<a href="https://github.com/HDFGroup/hdfview/blob/master/test/org.hdfgroup.object.example.test/datasets/H5ObjectEx_D_Alloc.java">JavaObj</a>
+ MATLAB PyHigh PyLow
+</td>
+<td>h5ex_d_alloc.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/testfiles/114/h5ex_d_alloc.tst">h5ex_d_alloc.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/testfiles/114/h5ex_d_alloc.ddl">h5ex_d_alloc.ddl</a></td>
+</tr>
+<tr>
+<td>Read / Write Dataset using Fletcher32 Checksum Filter</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/h5ex_d_checksum.c">C</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/FORTRAN/H5D/h5ex_d_checksum.F90">FORTRAN</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Java/H5D/H5Ex_D_Checksum.java">Java</a>
+<a href="https://github.com/HDFGroup/hdfview/blob/master/test/org.hdfgroup.object.example.test/datasets/H5ObjectEx_D_Checksum.java">JavaObj</a>
+ MATLAB PyHigh PyLow
+</td>
+<td>h5ex_d_checksum.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/testfiles/114/h5ex_d_checksum.tst">h5ex_d_checksum.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/testfiles/114/h5ex_d_checksum.ddl">h5ex_d_checksum.ddl</a></td>
+</tr>
+<tr>
+<td>Read / Write Chunked Dataset</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/h5ex_d_chunk.c">C</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/FORTRAN/H5D/h5ex_d_chunk.F90">FORTRAN</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Java/H5D/H5Ex_D_Chunk.java">Java</a>
+<a href="https://github.com/HDFGroup/hdfview/blob/master/test/org.hdfgroup.object.example.test/datasets/H5ObjectEx_D_Chunk.java">JavaObj</a>
+ MATLAB PyHigh PyLow
+</td>
+<td>h5ex_d_chunk.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/testfiles/114/h5ex_d_chunk.tst">h5ex_d_chunk.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/testfiles/114/h5ex_d_chunk.ddl">h5ex_d_chunk.ddl</a></td>
+</tr>
+<tr>
+<td>Read / Write Compact Dataset</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/h5ex_d_compact.c">C</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/FORTRAN/H5D/h5ex_d_compact.F90">FORTRAN</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Java/H5D/H5Ex_D_Compact.java">Java</a>
+<a href="https://github.com/HDFGroup/hdfview/blob/master/test/org.hdfgroup.object.example.test/datasets/H5ObjectEx_D_Compact.java">JavaObj</a>
+ MATLAB PyHigh PyLow
+</td>
+<td>h5ex_d_compact.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/testfiles/114/h5ex_d_compact.tst">h5ex_d_compact.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/testfiles/114/h5ex_d_compact.ddl">h5ex_d_compact.ddl</a></td>
+</tr>
+<tr>
+<td>Read / Write to External Dataset</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/h5ex_d_extern.c">C</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/FORTRAN/H5D/h5ex_d_extern.F90">FORTRAN</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Java/H5D/H5Ex_D_External.java">Java</a>
+<a href="https://github.com/HDFGroup/hdfview/blob/master/test/org.hdfgroup.object.example.test/datasets/H5ObjectEx_D_External.java">JavaObj</a>
+ MATLAB PyHigh PyLow
+</td>
+<td>h5ex_d_extern.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/testfiles/114/h5ex_d_extern.tst">h5ex_d_extern.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/testfiles/114/h5ex_d_extern.ddl">h5ex_d_extern.ddl</a></td>
+</tr>
+<tr>
+<td>Read / Write Dataset w/ Fill Value</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/h5ex_d_fillval.c">C</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/FORTRAN/H5D/h5ex_d_fillval.F90">FORTRAN</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Java/H5D/H5Ex_D_FillValue.java">Java</a>
+<a href="https://github.com/HDFGroup/hdfview/blob/master/test/org.hdfgroup.object.example.test/datasets/H5ObjectEx_D_FillValue.java">JavaObj</a>
+ MATLAB PyHigh PyLow
+</td>
+<td>h5ex_d_fillval.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/testfiles/114/h5ex_d_fillval.tst">h5ex_d_fillval.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/testfiles/114/h5ex_d_fillval.ddl">h5ex_d_fillval.ddl</a></td>
+</tr>
+<tr>
+<td>Read / Write GZIP Compressed Dataset</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/h5ex_d_gzip.c">C</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/FORTRAN/H5D/h5ex_d_gzip.F90">FORTRAN</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Java/H5D/H5Ex_D_Gzip.java">Java</a>
+<a href="https://github.com/HDFGroup/hdfview/blob/master/test/org.hdfgroup.object.example.test/datasets/H5ObjectEx_D_Gzip.java">JavaObj</a>
+ MATLAB PyHigh PyLow
+</td>
+<td>h5ex_d_gzip.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/testfiles/114/h5ex_d_gzip.tst">h5ex_d_gzip.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/testfiles/114/h5ex_d_gzip.ddl">h5ex_d_gzip.ddl</a></td>
+</tr>
+<tr>
+<td>Read / Write Data by Hyperslabs</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/h5ex_d_hyper.c">C</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/FORTRAN/H5D/h5ex_d_hyper.F90">FORTRAN</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Java/H5D/H5Ex_D_Hyperslab.java">Java</a>
+<a href="https://github.com/HDFGroup/hdfview/blob/master/test/org.hdfgroup.object.example.test/datasets/H5ObjectEx_D_Hyperslab.java">JavaObj</a>
+ MATLAB PyHigh PyLow
+</td>
+<td>h5ex_d_hyper.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/testfiles/114/h5ex_d_hyper.tst">h5ex_d_hyper.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/testfiles/114/h5ex_d_hyper.ddl">h5ex_d_hyper.ddl</a></td>
+</tr>
+<tr>
+<td>Read / Write Dataset with n-bit Filter</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/h5ex_d_nbit.c">C</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/FORTRAN/H5D/h5ex_d_nbit.F90">FORTRAN</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Java/H5D/H5Ex_D_Nbit.java">Java</a>
+<a href="https://github.com/HDFGroup/hdfview/blob/master/test/org.hdfgroup.object.example.test/datasets/H5ObjectEx_D_Nbit.java">JavaObj</a>
+ MATLAB PyHigh PyLow
+</td>
+<td>h5ex_d_nbit.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/testfiles/114/h5ex_d_nbit.tst">h5ex_d_nbit.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/testfiles/114/h5ex_d_nbit.ddl">h5ex_d_nbit.ddl</a></td>
+</tr>
+<tr>
+<td>Read / Write Integer Dataset</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/h5ex_d_rdwr.c">C</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/FORTRAN/H5D/h5ex_d_rdwr.F90">FORTRAN</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Java/H5D/H5Ex_D_ReadWrite.java">Java</a>
+<a href="https://github.com/HDFGroup/hdfview/blob/master/test/org.hdfgroup.object.example.test/datasets/H5ObjectEx_D_ReadWrite.java">JavaObj</a>
+ MATLAB PyHigh PyLow
+</td>
+<td>h5ex_d_rdwrc.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/testfiles/114/h5ex_d_rdwrc.tst">h5ex_d_rdwrc.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/testfiles/114/h5ex_d_rdwr.ddl">h5ex_d_rdwr.ddl</a></td>
+</tr>
+<tr>
+<td>Read / Write Dataset w/ Shuffle Filter and GZIP Compression</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/h5ex_d_shuffle.c">C</a>
+FORTRAN
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Java/H5D/H5Ex_D_Shuffle.java">Java</a>
+<a href="https://github.com/HDFGroup/hdfview/blob/master/test/org.hdfgroup.object.example.test/datasets/H5ObjectEx_D_Shuffle.java">JavaObj</a>
+ MATLAB PyHigh PyLow
+</td>
+<td>h5ex_d_shuffle.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/testfiles/114/h5ex_d_shuffle.tst">h5ex_d_shuffle.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/testfiles/114/h5ex_d_shuffle.ddl">h5ex_d_shuffle.ddl</a></td>
+</tr>
+<tr>
+<td>Read / Write Dataset using Scale-Offset Filter (float)</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/h5ex_d_sofloat.c">C</a>
+FORTRAN
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Java/H5D/H5Ex_D_Sofloat.java">Java</a>
+<a href="https://github.com/HDFGroup/hdfview/blob/master/test/org.hdfgroup.object.example.test/datasets/H5ObjectEx_D_Sofloat.java">JavaObj</a>
+ MATLAB PyHigh PyLow
+</td>
+<td>h5ex_d_sofloat.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/testfiles/114/h5ex_d_sofloat.tst">h5ex_d_sofloat.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/testfiles/114/h5ex_d_sofloat.ddl">h5ex_d_sofloat.ddl</a></td>
+</tr>
+<tr>
+<td>Read / Write Dataset using Scale-Offset Filter (integer)</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/h5ex_d_soint.c">C</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/FORTRAN/H5D/h5ex_d_soint.F90">FORTRAN</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Java/H5D/H5Ex_D_Soint.java">Java</a>
+<a href="https://github.com/HDFGroup/hdfview/blob/master/test/org.hdfgroup.object.example.test/datasets/H5ObjectEx_D_Soint.java">JavaObj</a>
+ MATLAB PyHigh PyLow
+</td>
+<td>h5ex_d_soint.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/testfiles/114/h5ex_d_soint.tst">h5ex_d_soint.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/testfiles/114/h5ex_d_soint.ddl">h5ex_d_soint.ddl</a></td>
+</tr>
+<tr>
+<td>Read / Write Dataset using SZIP Compression</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/h5ex_d_szip.c">C</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/FORTRAN/H5D/h5ex_d_szip.F90">FORTRAN</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Java/H5D/H5Ex_D_Szip.java">Java</a>
+<a href="https://github.com/HDFGroup/hdfview/blob/master/test/org.hdfgroup.object.example.test/datasets/H5ObjectEx_D_Szip.java">JavaObj</a>
+ MATLAB PyHigh PyLow
+</td>
+<td>h5ex_d_szip.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/testfiles/114/h5ex_d_szip.tst">h5ex_d_szip.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/testfiles/114/h5ex_d_szip.ddl">h5ex_d_szip.ddl</a></td>
+</tr>
+<tr>
+<td>Read / Write Dataset using Data Transform Expression</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/h5ex_d_transform.c">C</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/FORTRAN/H5D/h5ex_d_transform.F90">FORTRAN</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Java/H5D/H5Ex_D_Transform.java">Java</a>
+<a href="https://github.com/HDFGroup/hdfview/blob/master/test/org.hdfgroup.object.example.test/datasets/H5ObjectEx_D_Transform.java">JavaObj</a>
+ MATLAB PyHigh PyLow
+</td>
+<td>h5ex_d_transform.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/testfiles/114/h5ex_d_transform.tst">h5ex_d_transform.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/testfiles/114/h5ex_d_transform.ddl">h5ex_d_transform.ddl</a></td>
+</tr>
+<tr>
+<td>Read / Write Unlimited Dimension Dataset</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/h5ex_d_unlimadd.c">C</a>
+FORTRAN
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Java/H5D/H5Ex_D_UnlimitedAdd.java">Java</a>
+<a href="https://github.com/HDFGroup/hdfview/blob/master/test/org.hdfgroup.object.example.test/datasets/H5ObjectEx_D_UnlimitedAdd.java">JavaObj</a>
+ MATLAB PyHigh PyLow
+</td>
+<td>h5ex_d_unlimadd.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/testfiles/114/h5ex_d_unlimadd.tst">h5ex_d_unlimadd.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/testfiles/114/h5ex_d_unlimadd.ddl">h5ex_d_unlimadd.ddl</a></td>
+</tr>
+<tr>
+<td>Read / Write GZIP Compressed Unlimited Dimension Dataset</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/h5ex_d_unlimgzip.c">C</a>
+FORTRAN
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Java/H5D/H5Ex_D_UnlimitedGzip.java">Java</a>
+<a href="https://github.com/HDFGroup/hdfview/blob/master/test/org.hdfgroup.object.example.test/datasets/H5ObjectEx_D_UnlimitedGzip.java">JavaObj</a>
+ MATLAB PyHigh PyLow
+</td>
+<td>h5ex_d_unlimgzip.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/testfiles/114/h5ex_d_unlimgzip.tst">h5ex_d_unlimgzip.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/testfiles/114/h5ex_d_unlimgzip.ddl">h5ex_d_unlimgzip.ddl</a></td>
+</tr>
+<tr>
+<td>Read / Write / Edit Unlimited Dimension Dataset</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/h5ex_d_unlimmod.c">C</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/FORTRAN/H5D/h5ex_d_unlimmod.F90">FORTRAN</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Java/H5D/H5Ex_D_UnlimitedMod.java">Java</a>
+<a href="https://github.com/HDFGroup/hdfview/blob/master/test/org.hdfgroup.object.example.test/datasets/H5ObjectEx_D_UnlimitedMod.java">JavaObj</a>
+ MATLAB PyHigh PyLow
+</td>
+<td>h5ex_d_unlimmod.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/testfiles/114/h5ex_d_unlimmod.tst">h5ex_d_unlimmod.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5D/testfiles/114/h5ex_d_unlimmod.ddl">h5ex_d_unlimmod.ddl</a></td>
+</tr>
+</table>
+
+\subsection sec_exapi_grps Groups
+<table>
+<tr>
+<th>Feature</th>
+<th>Languages</th>
+<th>HDF5 File</th>
+<th>Output</th>
+<th>DDL</th>
+</tr>
+<tr>
+<td>Create "compact-or-indexed" Format Groups</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5G/h5ex_g_compact.c">C</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/FORTRAN/H5G/h5ex_g_compact.F90">FORTRAN</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Java/H5G/H5Ex_G_Compact.java">Java</a>
+<a href="https://github.com/HDFGroup/hdfview/blob/master/test/org.hdfgroup.object.example.test/groups/H5ObjectEx_G_Compact.java">JavaObj</a>
+ MATLAB PyHigh PyLow
+</td>
+<td>h5ex_g_compact.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5G/testfiles/114/h5ex_g_compact.tst">h5ex_g_.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5G/testfiles/114/h5ex_g_compact1.ddl">h5ex_g_compact1.ddl</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5G/testfiles/114/h5ex_g_compact2.ddl">h5ex_g_compact2.ddl</a></td>
+</tr>
+<tr>
+<td>Track links in a Group by Creation Order</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5G/h5ex_g_corder.c">C</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/FORTRAN/H5G/h5ex_g_corder.F90">FORTRAN</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Java/H5G/H5Ex_G_Corder.java">Java</a>
+<a href="https://github.com/HDFGroup/hdfview/blob/master/test/org.hdfgroup.object.example.test/groups/H5ObjectEx_G_Corder.java">JavaObj</a>
+ MATLAB PyHigh PyLow
+</td>
+<td>h5ex_g_corder.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5G/testfiles/114/h5ex_g_corder.tst">h5ex_g_corder.tst</a></td>
+<td>h5ex_g_corder.ddl</td>
+</tr>
+<tr>
+<td>Create / Open / Close a Group</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5G/h5ex_g_create.c">C</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/FORTRAN/H5G/h5ex_g_create.F90">FORTRAN</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Java/H5G/H5Ex_G_Create.java">Java</a>
+<a href="https://github.com/HDFGroup/hdfview/blob/master/test/org.hdfgroup.object.example.test/groups/H5ObjectEx_G_Create.java">JavaObj</a>
+ MATLAB PyHigh PyLow
+</td>
+<td>h5ex_g_create.h5</td>
+<td>h5ex_g_create.tst</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5G/testfiles/114/h5ex_g_create.ddl">h5ex_g_create.ddl</a></td>
+</tr>
+<tr>
+<td>Create Intermediate Groups</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5G/h5ex_g_intermediate.c">C</a>
+FORTRAN
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Java/H5G/H5Ex_G_Intermediate.java">Java</a>
+<a href="https://github.com/HDFGroup/hdfview/blob/master/test/org.hdfgroup.object.example.test/groups/H5ObjectEx_G_Intermediate.java">JavaObj</a>
+ MATLAB PyHigh PyLow
+</td>
+<td>h5ex_g_intermediate.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5G/testfiles/114/h5ex_g_intermediate.tst">h5ex_g_intermediate.tst</a></td>
+<td>h5ex_g_intermediate.ddl</td>
+</tr>
+<tr>
+<td>Iterate over Groups w/ H5Literate</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5G/h5ex_g_iterate.c">C</a>
+FORTRAN
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Java/H5G/H5Ex_G_Iterate.java">Java</a>
+<a href="https://github.com/HDFGroup/hdfview/blob/master/test/org.hdfgroup.object.example.test/groups/H5ObjectEx_G_Iterate.java">JavaObj</a>
+ MATLAB PyHigh PyLow
+</td>
+<td>h5ex_g_iterate.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5G/testfiles/114/h5ex_g_iterate.tst">h5ex_g_iterate.tst</a></td>
+<td>h5ex_g_iterate.ddl</td>
+</tr>
+<tr>
+<td>Set Conditions to Convert between Compact and Dense Groups</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5G/h5ex_g_phase.c">C</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/FORTRAN/H5G/h5ex_g_phase.F90">FORTRAN</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Java/H5G/H5Ex_G_Phase.java">Java</a>
+<a href="https://github.com/HDFGroup/hdfview/blob/master/test/org.hdfgroup.object.example.test/groups/H5ObjectEx_G_Phase.java">JavaObj</a>
+ MATLAB PyHigh PyLow
+</td>
+<td>h5ex_g_phase.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5G/testfiles/114/h5ex_g_phase.tst">h5ex_g_phase.tst</a></td>
+<td>h5ex_g_phase.ddl</td>
+</tr>
+<tr>
+<td>Recursively Traverse a File with H5Literate</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5G/h5ex_g_traverse.c">C</a>
+ FORTRAN
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Java/H5G/H5Ex_G_Traverse.java">Java</a>
+ JavaObj MATLAB PyHigh PyLow
+</td>
+<td>h5ex_g_traverse.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5G/testfiles/114/h5ex_g_traverse.tst">h5ex_g_traverse.tst</a></td>
+<td>h5ex_g_traverse.ddl</td>
+</tr>
+<tr>
+<td>Recursively Traverse a File with H5Ovisit / H5Lvisit</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5G/h5ex_g_visit.c">C</a>
+ FORTRAN
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Java/H5G/H5Ex_G_Visit.java">Java</a>
+<a href="https://github.com/HDFGroup/hdfview/blob/master/test/org.hdfgroup.object.example.test/groups/H5ObjectEx_G_Visit.java">JavaObj</a>
+ MATLAB PyHigh PyLow
+</td>
+<td>h5ex_g_visit.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5G/testfiles/114/h5ex_g_visit.tst">h5ex_g_visit.tst</a></td>
+<td>h5ex_g_visit.ddl</td>
+</tr>
+</table>
+
+\subsection sec_exapi_dtypes Datatypes
+<table>
+<tr>
+<th>Feature</th>
+<th>Languages</th>
+<th>HDF5 File</th>
+<th>Output</th>
+<th>DDL</th>
+</tr>
+<tr>
+<td>Read / Write Array (Attribute)</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/h5ex_t_arrayatt.c">C</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/FORTRAN/H5T/h5ex_t_arrayatt.F90">FORTRAN</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Java/H5T/H5Ex_T_ArrayAttribute.java">Java</a>
+<a href="https://github.com/HDFGroup/hdfview/blob/master/test/org.hdfgroup.object.example.test/datatypes/H5ObjectEx_T_ArrayAttribute.java">JavaObj</a>
+ MATLAB PyHigh PyLow
+</td>
+<td>h5ex_t_arrayatt.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_arrayatt.tst">h5ex_t_arrayatt.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_arrayatt.ddl">h5ex_t_arrayatt.ddl</a></td>
+</tr>
+<tr>
+<td>Read / Write Array (Dataset)</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/h5ex_t_array.c">C</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/FORTRAN/H5T/h5ex_t_array.F90">FORTRAN</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Java/H5T/H5Ex_T_Array.java">Java</a>
+<a href="https://github.com/HDFGroup/hdfview/blob/master/test/org.hdfgroup.object.example.test/datatypes/H5ObjectEx_T_Array.java">JavaObj</a>
+ MATLAB PyHigh PyLow
+</td>
+<td>h5ex_t_array.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_array.tst">h5ex_t_array.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_array.ddl">h5ex_t_array.ddl</a></td>
+</tr>
+<tr>
+<td>Read / Write Bitfield (Attribute)</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/h5ex_t_bitatt.c">C</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/FORTRAN/H5T/h5ex_t_bitatt.F90">FORTRAN</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Java/H5T/H5Ex_T_BitAttribute.java">Java</a>
+<a href="https://github.com/HDFGroup/hdfview/blob/master/test/org.hdfgroup.object.example.test/datatypes/H5ObjectEx_T_BitAttribute.java">JavaObj</a>
+ MATLAB PyHigh PyLow
+</td>
+<td>h5ex_t_bitatt.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_bitatt.tst">h5ex_t_bitatt.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_bitatt.ddl">h5ex_t_bitatt.ddl</a></td>
+</tr>
+<tr>
+<td>Read / Write Bitfield (Dataset)</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/h5ex_t_bit.c">C</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/FORTRAN/H5T/h5ex_t_bit.F90">FORTRAN</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Java/H5T/H5Ex_T_Bit.java">Java</a>
+<a href="https://github.com/HDFGroup/hdfview/blob/master/test/org.hdfgroup.object.example.test/datatypes/H5ObjectEx_T_Bit.java">JavaObj</a>
+ MATLAB PyHigh PyLow
+</td>
+<td>h5ex_t_bit.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_bit.tst">h5ex_t_bit.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_bit.ddl">h5ex_t_bit.ddl</a></td>
+</tr>
+<tr>
+<td>Read / Write Compound (Attribute)</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/h5ex_t_cmpdatt.c">C</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/FORTRAN/H5T/h5ex_t_cmpdatt.F90">FORTRAN</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Java/H5T/H5Ex_T_CompoundAttribute.java">Java</a>
+<a href="https://github.com/HDFGroup/hdfview/blob/master/test/org.hdfgroup.object.example.test/datatypes/H5ObjectEx_T_CompoundAttribute.java">JavaObj</a>
+ MATLAB PyHigh PyLow
+</td>
+<td>h5ex_t_cmpdatt.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_cmpdatt.tst">h5ex_t_cmpdatt.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_cmpdatt.ddl">h5ex_t_cmpdatt.ddl</a></td>
+</tr>
+<tr>
+<td>Read / Write Compound (Dataset)</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/h5ex_t_cmpd.c">C</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/FORTRAN/H5T/h5ex_t_cmpd.F90">FORTRAN</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Java/H5T/H5Ex_T_Compound.java">Java</a>
+<a href="https://github.com/HDFGroup/hdfview/blob/master/test/org.hdfgroup.object.example.test/datatypes/H5ObjectEx_T_Compound.java">JavaObj</a>
+ MATLAB PyHigh PyLow
+</td>
+<td>h5ex_t_cmpd.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_cmpd.tst">h5ex_t_cmpd.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_cmpd.ddl">h5ex_t_cmpd.ddl</a></td>
+</tr>
+<tr>
+<td>Commit Named Datatype and Read Back</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/h5ex_t_commit.c">C</a>
+ FORTRAN
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Java/H5T/H5Ex_T_Commit.java">Java</a>
+<a href="https://github.com/HDFGroup/hdfview/blob/master/test/org.hdfgroup.object.example.test/datatypes/H5ObjectEx_T_Commit.java">JavaObj</a>
+ MATLAB PyHigh PyLow
+</td>
+<td>h5ex_t_commit.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_commit.tst">h5ex_t_commit.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_commit.ddl">h5ex_t_commit.ddl</a></td>
+</tr>
+<tr>
+<td>Convert Between Datatypes in Memory</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/h5ex_t_convert.c">C</a>
+ FORTRAN Java JavaObj MATLAB PyHigh PyLow
+</td>
+<td>h5ex_t_convert.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_convert.tst">h5ex_t_convert.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_convert.ddl">h5ex_t_convert.ddl</a></td>
+</tr>
+<tr>
+<td>Read / Write Complex Compound (Attribute)</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/h5ex_t_cpxcmpdatt.c">C</a>
+ FORTRAN Java JavaObj MATLAB PyHigh PyLow
+</td>
+<td>h5ex_t_cpxcmpdatt.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_cpxcmpdatt.tst">h5ex_t_cpxcmpdatt.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_cpxcmpdatt.ddl">h5ex_t_cpxcmpdatt.ddl</a></td>
+</tr>
+<tr>
+<td>Read / Write Complex Compound (Dataset)</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/h5ex_t_cpxcmpd.c">C</a>
+ FORTRAN Java JavaObj MATLAB PyHigh PyLow
+</td>
+<td>h5ex_t_cpxcmpd.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_cpxcmpd.tst">h5ex_t_cpxcmpd.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_cpxcmpd.ddl">h5ex_t_cpxcmpd.ddl</a></td>
+</tr>
+<tr>
+<td>Read / Write Enumerated (Attribute)</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/h5ex_t_enumatt.c">C</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/FORTRAN/H5T/h5ex_t_enumatt_F03.F90">FORTRAN</a>
+ Java JavaObj MATLAB PyHigh PyLow
+</td>
+<td>h5ex_t_enumatt.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_enumatt.tst">h5ex_t_enumatt.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_enumatt.ddl">h5ex_t_enumatt.ddl</a></td>
+</tr>
+<tr>
+<td>Read / Write Enumerated (Dataset)</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/h5ex_t_enum.c">C</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/FORTRAN/H5T/h5ex_t_enum_F03.F90">FORTRAN</a>
+ Java JavaObj MATLAB PyHigh PyLow
+</td>
+<td>h5ex_t_enum.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_enum.tst">h5ex_t_enum.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_enum.ddl">h5ex_t_enum.ddl</a></td>
+</tr>
+<tr>
+<td>Read / Write Floating Point (Attribute)</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/h5ex_t_floatatt.c">C</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/FORTRAN/H5T/h5ex_t_floatatt_F03.F90">FORTRAN</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Java/H5T/H5Ex_T_FloatAttribute.java">Java</a>
+<a href="https://github.com/HDFGroup/hdfview/blob/master/test/org.hdfgroup.object.example.test/datatypes/H5ObjectEx_T_FloatAttribute.java">JavaObj</a>
+ MATLAB PyHigh PyLow
+</td>
+<td>h5ex_t_floatatt.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_floatatt.tst">h5ex_t_floatatt.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_floatatt.ddl">h5ex_t_floatatt.ddl</a></td>
+</tr>
+<tr>
+<td>Read / Write Floating Point (Dataset)</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/h5ex_t_float.c">C</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/FORTRAN/H5T/h5ex_t_float_F03.F90">FORTRAN</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Java/H5T/H5Ex_T_Float.java">Java</a>
+<a href="https://github.com/HDFGroup/hdfview/blob/master/test/org.hdfgroup.object.example.test/datatypes/H5ObjectEx_T_Float.java">JavaObj</a>
+ MATLAB PyHigh PyLow
+</td>
+<td>h5ex_t_float.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_float.tst">h5ex_t_float.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_float.ddl">h5ex_t_float.ddl</a></td>
+</tr>
+<tr>
+<td>Read / Write Integer Datatype (Attribute)</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/h5ex_t_intatt.c">C</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/FORTRAN/H5T/h5ex_t_intatt_F03.F90">FORTRAN</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Java/H5T/H5Ex_T_IntegerAttribute.java">Java</a>
+<a href="https://github.com/HDFGroup/hdfview/blob/master/test/org.hdfgroup.object.example.test/datatypes/H5ObjectEx_T_IntegerAttribute.java">JavaObj</a>
+ MATLAB PyHigh PyLow
+</td>
+<td>h5ex_t_intatt.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_intatt.tst">h5ex_t_intatt.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_intatt.ddl">h5ex_t_intatt.ddl</a></td>
+</tr>
+<tr>
+<td>Read / Write Integer Datatype (Dataset)</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/h5ex_t_int.c">C</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/FORTRAN/H5T/h5ex_t_int_F03.F90">FORTRAN</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Java/H5T/H5Ex_T_Integer.java">Java</a>
+<a href="https://github.com/HDFGroup/hdfview/blob/master/test/org.hdfgroup.object.example.test/datatypes/H5ObjectEx_T_Integer.java">JavaObj</a>
+ MATLAB PyHigh PyLow
+</td>
+<td>h5ex_t_int.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_int.tst">h5ex_t_int.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_int.ddl">h5ex_t_int.ddl</a></td>
+</tr>
+<tr>
+<td>Read / Write Object References (Attribute)</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/h5ex_t_objrefatt.c">C</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/FORTRAN/H5T/h5ex_t_objrefatt_F03.F90">FORTRAN</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Java/H5T/H5Ex_T_ObjectReferenceAttribute.java">Java</a>
+<a href="https://github.com/HDFGroup/hdfview/blob/master/test/org.hdfgroup.object.example.test/datatypes/H5ObjectEx_T_ObjectReferenceAttribute.java">JavaObj</a>
+ MATLAB PyHigh PyLow
+</td>
+<td>h5ex_t_objrefatt.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_objrefatt.tst">h5ex_t_objrefatt.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_objrefatt.ddl">h5ex_t_objrefatt.ddl</a></td>
+</tr>
+<tr>
+<td>Read / Write Object References (Dataset)</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/h5ex_t_objref.c">C</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/FORTRAN/H5T/h5ex_t_objref_F03.F90">FORTRAN</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Java/H5T/H5Ex_T_ObjectReference.java">Java</a>
+ <a href="https://github.com/HDFGroup/hdfview/blob/master/test/org.hdfgroup.object.example.test/datatypes/H5ObjectEx_T_ObjectReference.java">JavaObj</a>
+ MATLAB PyHigh PyLow
+</td>
+<td>h5ex_t_objref.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_objref.tst">h5ex_t_objref.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_objref.ddl">h5ex_t_objref.ddl</a></td>
+</tr>
+<tr>
+<td>Read / Write Opaque (Attribute)</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/h5ex_t_opaqueatt.c">C</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/FORTRAN/H5T/h5ex_t_opaqueatt_F03.F90">FORTRAN</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Java/H5T/H5Ex_T_OpaqueAttribute.java">Java</a>
+<a href="https://github.com/HDFGroup/hdfview/blob/master/test/org.hdfgroup.object.example.test/datatypes/H5ObjectEx_T_OpaqueAttribute.java">JavaObj</a>
+ MATLAB PyHigh PyLow
+</td>
+<td>h5ex_t_opaqueatt.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_opaqueatt.tst">h5ex_t_opaqueatt.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_opaqueatt.ddl">h5ex_t_opaqueatt.ddl</a></td>
+</tr>
+<tr>
+<td>Read / Write Opaque (Dataset)</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/h5ex_t_opaque.c">C</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/FORTRAN/H5T/h5ex_t_opaque_F03.F90">FORTRAN</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Java/H5T/H5Ex_T_Opaque.java">Java</a>
+<a href="https://github.com/HDFGroup/hdfview/blob/master/test/org.hdfgroup.object.example.test/datatypes/H5ObjectEx_T_Opaque.java">JavaObj</a>
+ MATLAB PyHigh PyLow
+</td>
+<td>h5ex_t_opaque.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_opaque.tst">h5ex_t_opaque.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_opaque.ddl">h5ex_t_opaque.ddl</a></td>
+</tr>
+<tr>
+<td>Read / Write Region References (Attribute)</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/h5ex_t_regrefatt.c">C</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/FORTRAN/H5T/h5ex_t_regrefatt_F03.F90">FORTRAN</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Java/H5T/H5Ex_T_RegionReferenceAttribute.java">Java</a>
+<a href="https://github.com/HDFGroup/hdfview/blob/master/test/org.hdfgroup.object.example.test/datatypes/H5ObjectEx_T_RegionReferenceAttribute.java">JavaObj</a>
+ MATLAB PyHigh PyLow
+</td>
+<td>h5ex_t_regrefatt.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_regrefatt.tst">h5ex_t_regrefatt.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_regrefatt.ddl">h5ex_t_regrefatt.ddl</a></td>
+</tr>
+<tr>
+<td>Read / Write Region References (Dataset)</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/h5ex_t_regref.c">C</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/FORTRAN/H5T/h5ex_t_regref_F03.F90">FORTRAN</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Java/H5T/H5Ex_T_RegionReference.java">Java</a>
+<a href="https://github.com/HDFGroup/hdfview/blob/master/test/org.hdfgroup.object.example.test/datatypes/H5ObjectEx_T_RegionReference.java">JavaObj</a>
+ MATLAB PyHigh PyLow
+</td>
+<td>h5ex_t_regref.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_regref.tst">h5ex_t_regref.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_regref.ddl">h5ex_t_regref.ddl</a></td>
+</tr>
+<tr>
+<td>Read / Write String (Attribute)</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/h5ex_t_stringatt.c">C</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/FORTRAN/H5T/h5ex_t_stringatt_F03.F90">FORTRAN</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Java/H5T/H5Ex_T_StringAttribute.java">Java</a>
+<a href="https://github.com/HDFGroup/hdfview/blob/master/test/org.hdfgroup.object.example.test/datatypes/H5ObjectEx_T_StringAttribute.java">JavaObj</a>
+ MATLAB PyHigh PyLow
+</td>
+<td>h5ex_t_stringatt.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_stringatt.tst">h5ex_t_stringatt.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_stringatt.ddl">h5ex_t_stringatt.ddl</a></td>
+</tr>
+<tr>
+<td>Read / Write String (Dataset)</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/h5ex_t_string.c">C</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/FORTRAN/H5T/h5ex_t_string_F03.F90">FORTRAN</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Java/H5T/H5Ex_T_String.java">Java</a>
+<a href="https://github.com/HDFGroup/hdfview/blob/master/test/org.hdfgroup.object.example.test/datatypes/H5ObjectEx_T_String.java">JavaObj</a>
+ MATLAB PyHigh PyLow
+</td>
+<td>h5ex_t_string.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_string.tst">h5ex_t_string.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_string.ddl">h5ex_t_string.ddl</a></td>
+</tr>
+<tr>
+<td>Read / Write Variable Length (Attribute)</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/h5ex_t_vlenatt.c">C</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/FORTRAN/H5T/h5ex_t_vlenatt_F03.F90">FORTRAN</a>
+ Java JavaObj MATLAB PyHigh PyLow
+</td>
+<td>h5ex_t_vlenatt.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_vlenatt.tst">h5ex_t_vlenatt.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_vlenatt.ddl">h5ex_t_vlenatt.ddl</a></td>
+</tr>
+<tr>
+<td>Read / Write Variable Length (Dataset)</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/h5ex_t_vlen.c">C</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/FORTRAN/H5T/h5ex_t_vlen_F03.F90">FORTRAN</a>
+ Java JavaObj MATLAB PyHigh PyLow
+</td>
+<td>h5ex_t_vlen.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_vlen.tst">h5ex_t_vlen.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_vlen.ddl">h5ex_t_vlen.ddl</a></td>
+</tr>
+<tr>
+<td>Read / Write Variable Length String (Attribute)</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/h5ex_t_vlstringatt.c">C</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/FORTRAN/H5T/h5ex_t__F03.F90">FORTRAN</a>
+ Java JavaObj MATLAB PyHigh PyLow
+</td>
+<td>h5ex_t_vlstringatt.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_vlstringatt.tst">h5ex_t_vlstringatt.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_vlstringatt.ddl">h5ex_t_vlstringatt.ddl</a></td>
+</tr>
+<tr>
+<td>Read / Write Variable Length String (Dataset)</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/h5ex_t_vlstring.c">C</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/FORTRAN/H5T/h5ex_t_vlstring_F03.F90">FORTRAN</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Java/H5T/H5Ex_T_VLString.java">Java</a>
+<a href="https://github.com/HDFGroup/hdfview/blob/master/test/org.hdfgroup.object.example.test/datatypes/H5ObjectEx_T_VLString.java">JavaObj</a>
+ MATLAB PyHigh PyLow
+</td>
+<td>h5ex_t_vlstring.h5</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_vlstring.tst">h5ex_t_vlstring.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5T/testfiles/114/h5ex_t_vlstring.ddl">h5ex_t_vlstring.ddl</a></td>
+</tr>
+</table>
+
+\subsection sec_exapi_filts Filters
+<table>
+<tr>
+<th>Feature</th>
+<th>Languages</th>
+<th>HDF5 File</th>
+<th>Output</th>
+<th>DDL</th>
+</tr>
+<tr>
+<td>Read / Write Dataset using Blosc Compression</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5Filters/h5ex_d_blosc.c">C</a>
+ FORTRAN Java JavaObj MATLAB PyHigh PyLow
+</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5Filters/testfiles/114/h5ex_d_blosc.h5">h5ex_d_blosc.h5</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5Filters/testfiles/114/h5ex_d_blosc.tst">h5ex_d_blosc.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5Filters/testfiles/114/h5ex_d_blosc.ddl">h5ex_d_blosc.ddl</a></td>
+</tr>
+<tr>
+<td>Read / Write Dataset using Bit Shuffle Compression</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5Filters/h5ex_d_bshuf.c">C</a>
+ FORTRAN Java JavaObj MATLAB PyHigh PyLow
+</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5Filters/testfiles/114/h5ex_d_bshuf.h5">h5ex_d_bshuf.h5</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5Filters/testfiles/114/h5ex_d_bshuf.tst">h5ex_d_bshuf.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5Filters/testfiles/114/h5ex_d_bshuf.ddl">h5ex_d_bshuf.ddl</a></td>
+</tr>
+<tr>
+<td>Read / Write Dataset using BZip2 Compression</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5Filters/h5ex_d_bzip2.c">C</a>
+ FORTRAN Java JavaObj MATLAB PyHigh PyLow
+</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5Filters/testfiles/114/h5ex_d_bzip2.h5">h5ex_d_bzip2.h5</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5Filters/testfiles/114/h5ex_d_bzip2.tst">h5ex_d_bzip2.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5Filters/testfiles/114/h5ex_d_bzip2.ddl">h5ex_d_bzip2.ddl</a></td>
+</tr>
+<tr>
+<td>Read / Write Dataset using JPEG Compression</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5Filters/h5ex_d_jpeg.c">C</a>
+ FORTRAN Java JavaObj MATLAB PyHigh PyLow
+</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5Filters/testfiles/114/h5ex_d_jpeg.h5">h5ex_d_jpeg.h5</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5Filters/testfiles/114/h5ex_d_jpeg.tst">h5ex_d_jpeg.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5Filters/testfiles/114/h5ex_d_jpeg.ddl">h5ex_d_jpeg.ddl</a></td>
+</tr>
+<tr>
+<td>Read / Write Dataset using LZ4 Compression</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5Filters/h5ex_d_lz4.c">C</a>
+ FORTRAN Java JavaObj MATLAB PyHigh PyLow
+</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5Filters/testfiles/114/h5ex_d_lz4.h5">h5ex_d_lz4.h5</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5Filters/testfiles/114/h5ex_d_lz4.tst">h5ex_d_lz4.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5Filters/testfiles/114/h5ex_d_lz4.ddl">h5ex_d_lz4.ddl</a></td>
+</tr>
+<tr>
+<td>Read / Write Dataset using LZF Compression</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5Filters/h5ex_d_lzf.c">C</a>
+ FORTRAN Java JavaObj MATLAB PyHigh PyLow
+</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5Filters/testfiles/114/h5ex_d_lzf.h5">h5ex_d_lzf.h5</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5Filters/testfiles/114/h5ex_d_lzf.tst">h5ex_d_lzf.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5Filters/testfiles/114/h5ex_d_lzf.ddl">h5ex_d_lzf.ddl</a></td>
+</tr>
+<tr>
+<td>Read / Write Dataset using MAFISC Compression</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5Filters/h5ex_d_mafisc.c">C</a>
+ FORTRAN Java JavaObj MATLAB PyHigh PyLow
+</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5Filters/testfiles/114/h5ex_d_mafisc.h5">h5ex_d_mafisc.h5</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5Filters/testfiles/114/h5ex_d_mafisc.tst">h5ex_d_mafisc.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5Filters/testfiles/114/h5ex_d_mafisc.ddl">h5ex_d_mafisc.ddl</a></td>
+</tr>
+<tr>
+<td>Read / Write Dataset using ZFP Compression</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5Filters/h5ex_d_zfp.c">C</a>
+ FORTRAN Java JavaObj MATLAB PyHigh PyLow
+</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5Filters/testfiles/114/h5ex_d_zfp.h5">h5ex_d_zfp.h5</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5Filters/testfiles/114/h5ex_d_zfp.tst">h5ex_d_zfp.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5Filters/testfiles/114/h5ex_d_zfp.ddl">h5ex_d_zfp.ddl</a></td>
+</tr>
+<tr>
+<td>Read / Write Dataset using ZStd Compression</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5Filters/h5ex_d_zstd.c">C</a>
+ FORTRAN Java JavaObj MATLAB PyHigh PyLow
+</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5Filters/testfiles/114/h5ex_d_zstd.h5">h5ex_d_zstd.h5</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5Filters/testfiles/114/h5ex_d_zstd.tst">h5ex_d_zstd.tst</a></td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5Filters/testfiles/114/h5ex_d_zstd.ddl">h5ex_d_zstd.ddl</a></td>
+</tr>
+</table>
+
+\subsection sec_exapi_java Java General
+<table>
+<tr>
+<th>Feature</th>
+<th>Languages</th>
+<th>Output</th>
+</tr>
+<tr>
+<td>Create/Read/Write an Attribute</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/JAVA/intro/HDF5AttributeCreate.java">Java</a>
+<a href="https://github.com/HDFGroup/hdfview/blob/master/test/org.hdfgroup.object.example.test/intro/H5Object_CreateAttribute.java">JavaObj</a>
+</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/JAVA/intro/testfiles/114/HDF5AttributeCreate.txt">HDF5AttributeCreate.txt</a></td>
+</tr>
+<tr>
+<td>Create Datasets</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/JAVA/intro/HDF5DatasetCreate.java">Java</a>
+<a href="https://github.com/HDFGroup/hdfview/blob/master/test/org.hdfgroup.object.example.test/intro/H5Object_CreateDataset.java">JavaObj</a>
+</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/JAVA/intro/testfiles/114/HDF5DatasetCreate.txt">HDF5DatasetCreate.txt</a></td>
+</tr>
+<tr>
+<td>Read/Write Datasets</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/JAVA/intro/HDF5DatasetRead.java">Java</a>
+<a href="https://github.com/HDFGroup/hdfview/blob/master/test/org.hdfgroup.object.example.test/intro/H5Object_ReadWrite.java">JavaObj</a>
+</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/JAVA/intro/testfiles/114/HDF5DatasetRead.txt">HDF5DatasetRead.txt</a></td>
+</tr>
+<tr>
+<td>Create an Empty File</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/JAVA/intro/HDF5FileCreate.java">Java</a>
+<a href="https://github.com/HDFGroup/hdfview/blob/master/test/org.hdfgroup.object.example.test/intro/H5Object_CreateFile.java">JavaObj</a>
+</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/JAVA/intro/testfiles/114/HDF5FileCreate.txt">HDF5FileCreate.txt</a></td>
+</tr>
+<tr>
+<td>Retrieve the File Structure</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/JAVA/intro/HDF5FileStructure.java">Java</a>
+ JavaObj
+</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/JAVA/intro/testfiles/114/HDF5FileStructure.txt">HDF5FileStructure.txt</a></td>
+</tr>
+<tr>
+<td>Create Groups</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/JAVA/intro/HDF5GroupCreate.java">Java</a>
+<a href="https://github.com/HDFGroup/hdfview/blob/master/test/org.hdfgroup.object.example.test/intro/H5Object_CreateGroup.java">JavaObj</a>
+</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/JAVA/intro/testfiles/114/HDF5GroupCreate.java">HDF5GroupCreate.txt</a></td>
+</tr>
+<tr>
+<td>Select a Subset of a Dataset</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/JAVA/intro/HDF5SubsetSelect.java">Java</a>
+ JavaObj
+</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/JAVA/intro/testfiles/114/HDF5SubsetSelect.txt">HDF5SubsetSelect.txt</a></td>
+</tr>
+<tr>
+<td>Create Two Datasets Within Groups</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/JAVA/intro/HDF5GroupDatasetCreate.java">Java</a>
+<a href="https://github.com/HDFGroup/hdfview/blob/master/test/org.hdfgroup.object.example.test/intro/H5Object_CreateGroupDataset.java">JavaObj</a>
+</td>
+<td><a href="https://github.com/HDFGroup/hdf5-examples/blob/master/JAVA/intro/testfiles/114/HDF5GroupDatasetCreate.java">HDF5GroupDatasetCreate.txt</a></td>
+</tr>
+</table>
+
+
+\subsection sec_exapi_par Parallel
+<table>
+<tr>
+<th>Feature</th>
+<th>Languages</th>
+<th>HDF5 File</th>
+<th>Output</th>
+</tr>
+<tr>
+<td>Creating and Accessing a File</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5Parallel/ph5_file_create.c">C</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/FORTRAN/H5Parallel/ph5_file_create.f90">FORTRAN</a>
+ MATLAB PyHigh PyLow
+</td>
+<td>ph5_.h5</td>
+<td>ph5_.tst</td>
+</tr>
+<tr>
+<td>Creating and Accessing a Dataset</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5Parallel/ph5_dataset.c">C</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/FORTRAN/H5Parallel/ph5_dataset.f90">FORTRAN</a>
+ MATLAB PyHigh PyLow
+</td>
+<td>ph5_.h5</td>
+<td>ph5_.tst</td>
+</tr>
+<tr>
+<td>Writing and Reading Contiguous Hyperslabs</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5Parallel/ph5_hyperslab_by_row.c">C</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/FORTRAN/H5Parallel/ph5_hyperslab_by_row.f90">FORTRAN</a>
+ MATLAB PyHigh PyLow
+</td>
+<td>ph5_.h5</td>
+<td>ph5_.tst</td>
+</tr>
+<tr>
+<td>Writing and Reading Regularly Spaced Data Hyperslabs</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5Parallel/ph5_hyperslab_by_col.c">C</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/FORTRAN/H5Parallel/ph5_hyperslab_by_col.f90">FORTRAN</a>
+ MATLAB PyHigh PyLow
+</td>
+<td>ph5_.h5</td>
+<td>ph5_.tst</td>
+</tr>
+<tr>
+<td>Writing and Reading Pattern Hyperslabs</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5Parallel/ph5_hyperslab_by_pattern.c">C</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/FORTRAN/H5Parallel/ph5_hyperslab_by_pattern.f90">FORTRAN</a>
+ MATLAB PyHigh PyLow
+</td>
+<td>ph5_.h5</td>
+<td>ph5_.tst</td>
+</tr>
+<tr>
+<td>Writing and Reading Chunk Hyperslabs</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5Parallel/ph5_hyperslab_by_chunk.c">C</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/FORTRAN/H5Parallel/ph5_hyperslab_by_chunk.f90">FORTRAN</a>
+ MATLAB PyHigh PyLow
+</td>
+<td>ph5_.h5</td>
+<td>ph5_.tst</td>
+</tr>
+<tr>
+<td>Using the Subfiling VFD to Write a File Striped Across Multiple Subfiles</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5Parallel/ph5_subfiling.c">C</a>
+ FORTRAN MATLAB PyHigh PyLow
+</td>
+<td>ph5_.h5</td>
+<td>ph5_.tst</td>
+</tr>
+<tr>
+<td>Write to Datasets with Filters Applied</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5Parallel/ph5_filtered_writes.c">C</a>
+ FORTRAN MATLAB PyHigh PyLow
+</td>
+<td>ph5_.h5</td>
+<td>ph5_.tst</td>
+</tr>
+<tr>
+<td>Collectively Write Datasets with Filters and Not All Ranks have Data</td>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5Parallel/ph5_filtered_writes_no_sel.c">C</a>
+ FORTRAN MATLAB PyHigh PyLow
+</td>
+<td>ph5_.h5</td>
+<td>ph5_.tst</td>
+</tr>
+</table>
+
+
+<hr>
+Navigate back: \ref index "Main" / \ref GettingStarted
+
+*/
diff --git a/doxygen/dox/GettingStarted.dox b/doxygen/dox/GettingStarted.dox
index 29c5033..87f3566 100644
--- a/doxygen/dox/GettingStarted.dox
+++ b/doxygen/dox/GettingStarted.dox
@@ -50,10 +50,10 @@ Parallel HDF5, and the HDF5-1.10 VDS and SWMR new features:
</tr>
<tr>
<td style="background-color:#F5F5F5">
-<a href="https://portal.hdfgroup.org/display/HDF5/Introduction+to+Parallel+HDF5">Introduction to Parallel HDF5</a>
+\ref IntroParHDF5
</td>
<td>
-A brief introduction to Parallel HDF5. If you are new to HDF5 please see the @ref LearnBasics topic first.
+A brief introduction to Parallel HDF5. If you are new to HDF5 please see the @ref LearnBasics topic first.
</td>
</tr>
<tr>
diff --git a/doxygen/dox/IntroHDF5.dox b/doxygen/dox/IntroHDF5.dox
index 3ca7d00..2c25659 100644
--- a/doxygen/dox/IntroHDF5.dox
+++ b/doxygen/dox/IntroHDF5.dox
@@ -607,7 +607,7 @@ on the <a href="http://hdfeos.org/">HDF-EOS Tools and Information Center</a> pag
\section secHDF5Examples Examples
\li \ref LBExamples
-\li <a href="https://portal.hdfgroup.org/display/HDF5/Examples+by+API">Examples by API</a>
+\li \ref ExAPI
\li <a href="https://portal.hdfgroup.org/display/HDF5/Examples+in+the+Source+Code">Examples in the Source Code</a>
\li <a href="https://portal.hdfgroup.org/display/HDF5/Other+Examples">Other Examples</a>
diff --git a/doxygen/dox/IntroParExamples.dox b/doxygen/dox/IntroParExamples.dox
new file mode 100644
index 0000000..3929106
--- /dev/null
+++ b/doxygen/dox/IntroParExamples.dox
@@ -0,0 +1,569 @@
+/** @page IntroParContHyperslab Writing by Contiguous Hyperslab
+
+Navigate back: \ref index "Main" / \ref GettingStarted / \ref IntroParHDF5
+<hr>
+
+This example shows how to write a contiguous buffer in memory to a contiguous hyperslab in a file. In this case,
+each parallel process writes a contiguous hyperslab to the file.
+
+In the C example (figure a), each hyperslab in memory consists of an equal number of consecutive rows. In the FORTRAN
+90 example (figure b), each hyperslab in memory consists of
+an equal number of consecutive columns. This reflects the difference in the storage order for C and FORTRAN 90.
+<table>
+<tr>
+<th><strong>Figure a</strong> C Example</th>
+<th><strong>Figure b</strong> Fortran Example</th>
+</tr><tr>
+<td>
+\image html pcont_hy_figa.gif
+</td>
+<td>
+\image html pcont_hy_figb.gif
+</td>
+</tr>
+</table>
+
+\section secIntroParContHyperslabC Writing a Contiguous Hyperslab in C
+In this example, you have a dataset of 8 (rows) x 5 (columns) and each process writes an equal number
+of rows to the dataset. The dataset hyperslab is defined as follows:
+\code
+ count [0] = dimsf [0] / number_processes
+ count [1] = dimsf [1]
+\endcode
+where,
+\code
+ dimsf [0] is the number of rows in the dataset
+ dimsf [1] is the number of columns in the dataset
+\endcode
+The offset for the hyperslab is different for each process:
+\code
+ offset [0] = k * count[0]
+ offset [1] = 0
+\endcode
+where,
+\code
+ "k" is the process id number
+ count [0] is the number of rows written in each hyperslab
+ offset [1] = 0 indicates to start at the beginning of the row
+\endcode
+
+The number of processes that you could use would be 1, 2, 4, or 8. The number of rows that would be written by each slab is as follows:
+<table>
+<tr>
+<th><strong>Processes</strong></th>
+<th><strong>Size of count[0](\# of rows) </strong></th>
+</tr><tr>
+<td>1</td><td>8</td>
+</tr><tr>
+<td>2</td><td>4</td>
+</tr><tr>
+<td>4</td><td>2</td>
+</tr><tr>
+<td>8</td><td>1</td>
+</tr>
+</table>
+
+If using 4 processes, then process 1 would look like:
+<table>
+<tr>
+<td>
+\image html pcont_hy_figc.gif
+</td>
+</tr>
+</table>
+
+The code would look like the following:
+\code
+ 71 /*
+ 72 * Each process defines dataset in memory and writes it to the hyperslab
+ 73 * in the file.
+ 74 */
+ 75 count[0] = dimsf[0]/mpi_size;
+ 76 count[1] = dimsf[1];
+ 77 offset[0] = mpi_rank * count[0];
+ 78 offset[1] = 0;
+ 79 memspace = H5Screate_simple(RANK, count, NULL);
+ 80
+ 81 /*
+ 82 * Select hyperslab in the file.
+ 83 */
+ 84 filespace = H5Dget_space(dset_id);
+ 85 H5Sselect_hyperslab(filespace, H5S_SELECT_SET, offset, NULL, count, NULL);
+\endcode
+
+Below is the example program:
+<table>
+<tr>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5Parallel/ph5_hyperslab_by_row.c">hyperslab_by_row.c</a>
+</td>
+</tr>
+</table>
+
+If using this example with 4 processes, then,
+\li Process 0 writes "10"s to the file.
+\li Process 1 writes "11"s.
+\li Process 2 writes "12"s.
+\li Process 3 writes "13"s.
+
+The following is the output from h5dump for the HDF5 file created by this example using 4 processes:
+\code
+HDF5 "SDS_row.h5" {
+GROUP "/" {
+ DATASET "IntArray" {
+ DATATYPE H5T_STD_I32BE
+ DATASPACE SIMPLE { ( 8, 5 ) / ( 8, 5 ) }
+ DATA {
+ 10, 10, 10, 10, 10,
+ 10, 10, 10, 10, 10,
+ 11, 11, 11, 11, 11,
+ 11, 11, 11, 11, 11,
+ 12, 12, 12, 12, 12,
+ 12, 12, 12, 12, 12,
+ 13, 13, 13, 13, 13,
+ 13, 13, 13, 13, 13
+ }
+ }
+}
+}
+\endcode
+
+
+\section secIntroParContHyperslabFort Writing a Contiguous Hyperslab in Fortran
+In this example you have a dataset of 5 (rows) x 8 (columns). Since a contiguous hyperslab in Fortran 90
+consists of consecutive columns, each process will be writing an equal number of columns to the dataset.
+
+You would define the size of the hyperslab to write to the dataset as follows:
+\code
+ count(1) = dimsf(1)
+ count(2) = dimsf(2) / number_of_processes
+\endcode
+
+where,
+\code
+ dimsf(1) is the number of rows in the dataset
+ dimsf(2) is the number of columns
+\endcode
+
+The offset for the hyperslab dimension would be different for each process:
+\code
+ offset (1) = 0
+ offset (2) = k * count (2)
+\endcode
+
+where,
+\code
+ offset (1) = 0 indicates to start at the beginning of the column
+ "k" is the process id number
+ "count(2) is the number of columns to be written by each hyperslab
+\endcode
+
+The number of processes that could be used in this example are 1, 2, 4, or 8. The number of
+columns that could be written by each slab is as follows:
+<table>
+<tr>
+<th><strong>Processes</strong></th>
+<th><strong>Size of count (2)(\# of columns) </strong></th>
+</tr><tr>
+<td>1</td><td>8</td>
+</tr><tr>
+<td>2</td><td>4</td>
+</tr><tr>
+<td>4</td><td>2</td>
+</tr><tr>
+<td>8</td><td>1</td>
+</tr>
+</table>
+
+If using 4 processes, the offset and count parameters for Process 1 would look like:
+<table>
+<tr>
+<td>
+\image html pcont_hy_figd.gif
+</td>
+</tr>
+</table>
+
+The code would look like the following:
+\code
+ 69 ! Each process defines dataset in memory and writes it to the hyperslab
+ 70 ! in the file.
+ 71 !
+ 72 count(1) = dimsf(1)
+ 73 count(2) = dimsf(2)/mpi_size
+ 74 offset(1) = 0
+ 75 offset(2) = mpi_rank * count(2)
+ 76 CALL h5screate_simple_f(rank, count, memspace, error)
+ 77 !
+ 78 ! Select hyperslab in the file.
+ 79 !
+ 80 CALL h5dget_space_f(dset_id, filespace, error)
+ 81 CALL h5sselect_hyperslab_f (filespace, H5S_SELECT_SET_F, offset, count, error)
+\endcode
+
+Below is the F90 example program which illustrates how to write contiguous hyperslabs by column in Parallel HDF5:
+<table>
+<tr>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Fortran/H5Parallel/ph5_f90_hyperslab_by_col.F90">hyperslab_by_col.F90</a>
+</td>
+</tr>
+</table>
+
+If you run this program with 4 processes and look at the output with h5dump you will notice that the output is
+much like the output shown above for the C example. This is because h5dump is written in C. The data would be
+displayed in columns if it was printed using Fortran 90 code.
+
+<hr>
+Navigate back: \ref index "Main" / \ref GettingStarted / \ref IntroParHDF5
+
+@page IntroParRegularSpaced Writing by Regularly Spaced Data
+
+Navigate back: \ref index "Main" / \ref GettingStarted / \ref IntroParHDF5
+<hr>
+
+In this case, each process writes data from a contiguous buffer into disconnected locations in the file, using a regular pattern.
+
+In C it is done by selecting a hyperslab in a file that consists of regularly spaced columns. In F90, it is done by selecting a
+hyperslab in a file that consists of regularly spaced rows.
+<table>
+<tr>
+<th><strong>Figure a</strong> C Example</th>
+<th><strong>Figure b</strong> Fortran Example</th>
+</tr><tr>
+<td>
+\image html preg_figa.gif
+</td>
+<td>
+\image html preg_figb.gif
+</td>
+</tr>
+</table>
+
+\section secIntroParRegularSpacedC Writing Regularly Spaced Columns in C
+In this example, you have two processes that write to the same dataset, each writing to
+every other column in the dataset. For each process the hyperslab in the file is set up as follows:
+\code
+ 89 count[0] = 1;
+ 90 count[1] = dimsm[1];
+ 91 offset[0] = 0;
+ 92 offset[1] = mpi_rank;
+ 93 stride[0] = 1;
+ 94 stride[1] = 2;
+ 95 block[0] = dimsf[0];
+ 96 block[1] = 1;
+\endcode
+
+The stride is 2 for dimension 1 to indicate that every other position along this
+dimension will be written to. A stride of 1 indicates that every position along a dimension will be written to.
+
+For two processes, the mpi_rank will be either 0 or 1. Therefore:
+\li Process 0 writes to even columns (0, 2, 4...)
+\li Process 1 writes to odd columns (1, 3, 5...)
+
+The block size allows each process to write a column of data to every other position in the dataset.
+
+<table>
+<tr>
+<td>
+\image html preg_figc.gif
+</td>
+</tr>
+</table>
+
+Below is an example program for writing hyperslabs by column in Parallel HDF5:
+<table>
+<tr>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5Parallel/ph5_hyperslab_by_col.c">hyperslab_by_col.c</a>
+</td>
+</tr>
+</table>
+
+The following is the output from h5dump for the HDF5 file created by this example:
+\code
+HDF5 "SDS_col.h5" {
+GROUP "/" {
+ DATASET "IntArray" {
+ DATATYPE H5T_STD_I32BE
+ DATASPACE SIMPLE { ( 8, 6 ) / ( 8, 6 ) }
+ DATA {
+ 1, 2, 10, 20, 100, 200,
+ 1, 2, 10, 20, 100, 200,
+ 1, 2, 10, 20, 100, 200,
+ 1, 2, 10, 20, 100, 200,
+ 1, 2, 10, 20, 100, 200,
+ 1, 2, 10, 20, 100, 200,
+ 1, 2, 10, 20, 100, 200,
+ 1, 2, 10, 20, 100, 200
+ }
+ }
+}
+}
+\endcode
+
+
+\section secIntroParRegularSpacedFort Writing Regularly Spaced Rows in Fortran
+In this example, you have two processes that write to the same dataset, each writing to every
+other row in the dataset. For each process the hyperslab in the file is set up as follows:
+
+
+You would define the size of the hyperslab to write to the dataset as follows:
+\code
+ 83 ! Each process defines dataset in memory and writes it to
+ 84 ! the hyperslab in the file.
+ 85 !
+ 86 count(1) = dimsm(1)
+ 87 count(2) = 1
+ 88 offset(1) = mpi_rank
+ 89 offset(2) = 0
+ 90 stride(1) = 2
+ 91 stride(2) = 1
+ 92 block(1) = 1
+ 93 block(2) = dimsf(2)
+\endcode
+
+The stride is 2 for dimension 1 to indicate that every other position along this dimension will
+be written to. A stride of 1 indicates that every position along a dimension will be written to.
+
+For two process, the mpi_rank will be either 0 or 1. Therefore:
+\li Process 0 writes to even rows (0, 2, 4 ...)
+\li Process 1 writes to odd rows (1, 3, 5 ...)
+
+The block size allows each process to write a row of data to every other position in the dataset,
+rather than just a point of data.
+
+The following shows the data written by Process 1 to the file:
+<table>
+<tr>
+<td>
+\image html preg_figd.gif
+</td>
+</tr>
+</table>
+
+Below is the example program for writing hyperslabs by column in Parallel HDF5:
+<table>
+<tr>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Fortran/H5Parallel/ph5_f90_hyperslab_by_row.F90">hyperslab_by_row.F90</a>
+</td>
+</tr>
+</table>
+
+The output for h5dump on the file created by this program will look like the output as shown above for the C example. This is
+because h5dump is written in C. The data would be displayed in rows if it were printed using Fortran 90 code.
+
+<hr>
+Navigate back: \ref index "Main" / \ref GettingStarted / \ref IntroParHDF5
+
+@page IntroParPattern Writing by Pattern
+
+Navigate back: \ref index "Main" / \ref GettingStarted / \ref IntroParHDF5
+<hr>
+
+This is another example of writing data into disconnected locations in a file. Each process writes data from the contiguous
+buffer into regularly scattered locations in the file.
+
+Each process defines a hyperslab in the file as described below and writes data to it. The C and Fortran 90 examples below
+result in the same data layout in the file.
+
+<table>
+<tr>
+<th><strong>Figure a</strong> C Example</th>
+<th><strong>Figure b</strong> Fortran Example</th>
+</tr><tr>
+<td>
+\image html ppatt_figa.gif
+</td>
+<td>
+\image html ppatt_figb.gif
+</td>
+</tr>
+</table>
+
+The C and Fortran 90 examples use four processes to write the pattern shown above. Each process defines a hyperslab by:
+\li Specifying a stride of 2 for each dimension, which indicates that you wish to write to every other position along a dimension.
+\li Specifying a different offset for each process:
+<table>
+<tr>
+<th rowspan="3"><strong>C</strong></th><th>Process 0</th><th>Process 1</th><th>Process 2</th><th>Process 3</th>
+</tr><tr>
+<td>offset[0] = 0</td><td>offset[0] = 1</td><td>offset[0] = 0</td><td>offset[0] = 1</td>
+</tr><tr>
+<td>offset[1] = 0</td><td>offset[1] = 0</td><td>offset[1] = 1</td><td>offset[1] = 1</td>
+</tr><tr>
+<th rowspan="3"><strong>Fortran</strong></th><th>Process 0</th><th>Process 1</th><th>Process 2</th><th>Process 3</th>
+</tr><tr>
+<td>offset(1) = 0</td><td>offset(1) = 0</td><td>offset(1) = 1</td><td>offset(1) = 1</td>
+</tr><tr>
+<td>offset(2) = 0</td><td>offset(2) = 1</td><td>offset(2) = 0</td><td>offset(2) = 1</td>
+</tr>
+</table>
+\li Specifying the size of the slab to write. The count is the number of positions along a dimension to write to. If writing a 4 x 2 slab,
+then the count would be:
+<table>
+<tr>
+<th><strong>C</strong></th><th>Fortran</th>
+</tr><tr>
+<td>count[0] = 4</td><td>count(1) = 2</td>
+</tr><tr>
+<td>count[1] = 2</td><td>count(2) = 4</td>
+</tr>
+</table>
+
+For example, the offset, count, and stride parameters for Process 2 would look like:
+<table>
+<tr>
+<th><strong>Figure a</strong> C Example</th>
+<th><strong>Figure b</strong> Fortran Example</th>
+</tr><tr>
+<td>
+\image html ppatt_figc.gif
+</td>
+<td>
+\image html ppatt_figd.gif
+</td>
+</tr>
+</table>
+
+Below are example programs for writing hyperslabs by pattern in Parallel HDF5:
+<table>
+<tr>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5Parallel/ph5_hyperslab_by_pattern.c">hyperslab_by_pattern.c</a>
+</td>
+</tr>
+<tr>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Fortran/H5Parallel/ph5_f90_hyperslab_by_pattern.F90">hyperslab_by_pattern.F90</a>
+</td>
+</tr>
+</table>
+
+The following is the output from h5dump for the HDF5 file created in this example:
+\code
+HDF5 "SDS_pat.h5" {
+GROUP "/" {
+ DATASET "IntArray" {
+ DATATYPE H5T_STD_I32BE
+ DATASPACE SIMPLE { ( 8, 4 ) / ( 8, 4 ) }
+ DATA {
+ 1, 3, 1, 3,
+ 2, 4, 2, 4,
+ 1, 3, 1, 3,
+ 2, 4, 2, 4,
+ 1, 3, 1, 3,
+ 2, 4, 2, 4,
+ 1, 3, 1, 3,
+ 2, 4, 2, 4
+ }
+ }
+}
+}
+\endcode
+The h5dump utility is written in C so the output is in C order.
+
+
+<hr>
+Navigate back: \ref index "Main" / \ref GettingStarted / \ref IntroParHDF5
+
+@page IntroParChunk Writing by Chunk
+
+Navigate back: \ref index "Main" / \ref GettingStarted / \ref IntroParHDF5
+<hr>
+
+In this example each process writes a "chunk" of data to a dataset. The C and Fortran 90
+examples result in the same data layout in the file.
+
+<table>
+<tr>
+<th><strong>Figure a</strong> C Example</th>
+<th><strong>Figure b</strong> Fortran Example</th>
+</tr><tr>
+<td>
+\image html pchunk_figa.gif
+</td>
+<td>
+\image html pchunk_figb.gif
+</td>
+</tr>
+</table>
+
+For this example, four processes are used, and a 4 x 2 chunk is written to the dataset by each process.
+
+To do this, you would:
+\li Use the block parameter to specify a chunk of size 4 x 2 (or 2 x 4 for Fortran).
+\li Use a different offset (start) for each process, based on the chunk size:
+<table>
+<tr>
+<th rowspan="3"><strong>C</strong></th><th>Process 0</th><th>Process 1</th><th>Process 2</th><th>Process 3</th>
+</tr><tr>
+<td>offset[0] = 0</td><td>offset[0] = 0</td><td>offset[0] = 4</td><td>offset[0] = 4</td>
+</tr><tr>
+<td>offset[1] = 0</td><td>offset[1] = 2</td><td>offset[1] = 0</td><td>offset[1] = 2</td>
+</tr><tr>
+<th rowspan="3"><strong>Fortran</strong></th><th>Process 0</th><th>Process 1</th><th>Process 2</th><th>Process 3</th>
+</tr><tr>
+<td>offset(1) = 0</td><td>offset(1) = 2</td><td>offset(1) = 0</td><td>offset(1) = 2</td>
+</tr><tr>
+<td>offset(2) = 0</td><td>offset(2) = 0</td><td>offset(2) = 4</td><td>offset(2) = 4</td>
+</tr>
+</table>
+
+For example, the offset and block parameters for Process 2 would look like:
+<table>
+<tr>
+<th><strong>Figure a</strong> C Example</th>
+<th><strong>Figure b</strong> Fortran Example</th>
+</tr><tr>
+<td>
+\image html pchunk_figc.gif
+</td>
+<td>
+\image html pchunk_figd.gif
+</td>
+</tr>
+</table>
+
+Below are example programs for writing hyperslabs by pattern in Parallel HDF5:
+<table>
+<tr>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5Parallel/ph5_hyperslab_by_chunk.c">hyperslab_by_chunk.c</a>
+</td>
+</tr>
+<tr>
+<td>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Fortran/H5Parallel/ph5_f90_hyperslab_by_chunk.F90">hyperslab_by_chunk.F90</a>
+</td>
+</tr>
+</table>
+
+The following is the output from h5dump for the HDF5 file created in this example:
+\code
+HDF5 "SDS_chnk.h5" {
+GROUP "/" {
+ DATASET "IntArray" {
+ DATATYPE H5T_STD_I32BE
+ DATASPACE SIMPLE { ( 8, 4 ) / ( 8, 4 ) }
+ DATA {
+ 1, 1, 2, 2,
+ 1, 1, 2, 2,
+ 1, 1, 2, 2,
+ 1, 1, 2, 2,
+ 3, 3, 4, 4,
+ 3, 3, 4, 4,
+ 3, 3, 4, 4,
+ 3, 3, 4, 4
+ }
+ }
+}
+}
+\endcode
+The h5dump utility is written in C so the output is in C order.
+
+<hr>
+Navigate back: \ref index "Main" / \ref GettingStarted / \ref IntroParHDF5
+
+*/
diff --git a/doxygen/dox/IntroParHDF5.dox b/doxygen/dox/IntroParHDF5.dox
new file mode 100644
index 0000000..1f04e96
--- /dev/null
+++ b/doxygen/dox/IntroParHDF5.dox
@@ -0,0 +1,271 @@
+/** @page IntroParHDF5 A Brief Introduction to Parallel HDF5
+
+Navigate back: \ref index "Main" / \ref GettingStarted
+<hr>
+
+If you are new to HDF5 please see the @ref LearnBasics topic first.
+
+\section sec_pintro_overview Overview of Parallel HDF5 (PHDF5) Design
+There were several requirements that we had for Parallel HDF5 (PHDF5). These were:
+\li Parallel HDF5 files had to be compatible with serial HDF5 files and sharable
+between different serial and parallel platforms.
+\li Parallel HDF5 had to be designed to have a single file image to all processes,
+rather than having one file per process. Having one file per process can cause expensive
+post processing, and the files are not usable by different processes.
+\li A standard parallel I/O interface had to be portable to different platforms.
+
+With these requirements of HDF5 our initial target was to support MPI programming, but not
+for shared memory programming. We had done some experimentation with thread-safe support
+for Pthreads and for OpenMP, and decided to use these.
+
+Implementation requirements were to:
+\li Not use Threads, since they were not commonly supported in 1998 when we were looking at this.
+\li Not have a reserved process, as this might interfere with parallel algorithms.
+\li Not spawn any processes, as this is not even commonly supported now.
+
+The following shows the Parallel HDF5 implementation layers.
+
+
+\subsection subsec_pintro_prog Parallel Programming with HDF5
+This tutorial assumes that you are somewhat familiar with parallel programming with MPI (Message Passing Interface).
+
+If you are not familiar with parallel programming, here is a tutorial that may be of interest:
+<a href="http://www.nersc.gov/users/training/online-tutorials/introduction-to-scientific-i-o/?show_all=1">Tutorial on HDF5 I/O tuning at NERSC</a>
+
+Some of the terms that you must understand in this tutorial are:
+<ul>
+<li>
+<strong>MPI Communicator</strong>
+Allows a group of processes to communicate with each other.
+
+Following are the MPI routines for initializing MPI and the communicator and finalizing a session with MPI:
+<table>
+<tr>
+<th>C</th>
+<th>Fortran</th>
+<th>Description</th>
+</tr>
+<tr>
+<td>MPI_Init</td>
+<td>MPI_INIT</td>
+<td>Initialize MPI (MPI_COMM_WORLD usually)</td>
+</tr>
+<tr>
+<td>MPI_Comm_size</td>
+<td>MPI_COMM_SIZE</td>
+<td>Define how many processes are contained in the communicator</td>
+</tr>
+<tr>
+<td>MPI_Comm_rank</td>
+<td>MPI_COMM_RANK</td>
+<td>Define the process ID number within the communicator (from 0 to n-1)</td>
+</tr>
+<tr>
+<td>MPI_Finalize</td>
+<td>MPI_FINALIZE</td>
+<td>Exiting MPI</td>
+</tr>
+</table>
+</li>
+<li>
+<strong>Collective</strong>
+MPI defines this to mean all processes of the communicator must participate in the right order.
+</li>
+</ul>
+
+Parallel HDF5 opens a parallel file with a communicator. It returns a file handle to be used for future access to the file.
+
+All processes are required to participate in the collective Parallel HDF5 API. Different files can be opened using different communicators.
+
+Examples of what you can do with the Parallel HDF5 collective API:
+\li File Operation: Create, open and close a file
+\li Object Creation: Create, open, and close a dataset
+\li Object Structure: Extend a dataset (increase dimension sizes)
+\li Dataset Operations: Write to or read from a dataset
+(Array data transfer can be collective or independent.)
+
+Once a file is opened by the processes of a communicator:
+\li All parts of the file are accessible by all processes.
+\li All objects in the file are accessible by all processes.
+\li Multiple processes write to the same dataset.
+\li Each process writes to an individual dataset.
+
+Please refer to the Supported Configuration Features Summary in the release notes for the current release
+of HDF5 for an up-to-date list of the platforms that we support Parallel HDF5 on.
+
+
+\subsection subsec_pintro_create_file Creating and Accessing a File with PHDF5
+The programming model for creating and accessing a file is as follows:
+<ol>
+<li>Set up an access template object to control the file access mechanism.</li>
+<li>Open the file.</li>
+<li>Close the file.</li>
+</ol>
+
+Each process of the MPI communicator creates an access template and sets it up with MPI parallel
+access information. This is done with the #H5Pcreate call to obtain the file access property list
+and the #H5Pset_fapl_mpio call to set up parallel I/O access.
+
+Following is example code for creating an access template in HDF5:
+<em>C</em>
+\code
+ 23 MPI_Comm comm = MPI_COMM_WORLD;
+ 24 MPI_Info info = MPI_INFO_NULL;
+ 25
+ 26 /*
+ 27 * Initialize MPI
+ 28 */
+ 29 MPI_Init(&argc, &argv);
+ 30 MPI_Comm_size(comm, &mpi_size);
+ 31 MPI_Comm_rank(comm, &mpi_rank);
+ 32
+ 33 /*
+ 34 * Set up file access property list with parallel I/O access
+ 35 */
+ 36 plist_id = H5Pcreate(H5P_FILE_ACCESS); 37 H5Pset_fapl_mpio(plist_id, comm, info);
+\endcode
+
+<em>Fortran</em>
+\code
+ 23 comm = MPI_COMM_WORLD
+ 24 info = MPI_INFO_NULL
+ 25
+ 26 CALL MPI_INIT(mpierror)
+ 27 CALL MPI_COMM_SIZE(comm, mpi_size, mpierror)
+ 28 CALL MPI_COMM_RANK(comm, mpi_rank, mpierror)
+ 29 !
+ 30 ! Initialize FORTRAN interface
+ 31 !
+ 32 CALL h5open_f(error)
+ 33
+ 34 !
+ 35 ! Setup file access property list with parallel I/O access.
+ 36 !
+ 37 CALL h5pcreate_f(H5P_FILE_ACCESS_F, plist_id, error) 38 CALL h5pset_fapl_mpio_f(plist_id, comm, info, error)
+\endcode
+
+The following example programs create an HDF5 file using Parallel HDF5:
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5Parallel/ph5_file_create.c">C: file_create.c</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Fortran/H5Parallel/ph5_f90_file_create.F90">F90: file_create.F90</a>
+
+
+\subsection subsec_pintro_create_dset Creating and Accessing a Dataset with PHDF5
+The programming model for creating and accessing a dataset is as follows:
+<ol>
+<li>
+Create or open a Parallel HDF5 file with a collective call to:
+#H5Dcreate
+#H5Dopen
+</li>
+<li>
+Obtain a copy of the file transfer property list and set it to use collective or independent I/O.
+<ul>
+<li>
+Do this by first passing a data transfer property list class type to: #H5Pcreate
+</li>
+<li>
+Then set the data transfer mode to either use independent I/O access or to use collective I/O, with a call to: #H5Pset_dxpl_mpio
+
+Following are the parameters required by this call:
+<em>C</em>
+\code
+ herr_t H5Pset_dxpl_mpio (hid_t dxpl_id, H5FD_mpio_xfer_t xfer_mode )
+ dxpl_id IN: Data transfer property list identifier
+ xfer_mode IN: Transfer mode:
+ H5FD_MPIO_INDEPENDENT - use independent I/O access
+ (default)
+ H5FD_MPIO_COLLECTIVE - use collective I/O access
+\endcode
+
+<em>Fortran</em>
+\code
+ h5pset_dxpl_mpi_f (prp_id, data_xfer_mode, hdferr)
+ prp_id IN: Property List Identifier (INTEGER (HID_T))
+ data_xfer_mode IN: Data transfer mode (INTEGER)
+ H5FD_MPIO_INDEPENDENT_F (0)
+ H5FD_MPIO_COLLECTIVE_F (1)
+ hdferr IN: Error code (INTEGER)
+\endcode
+</li>
+<li>
+Access the dataset with the defined transfer property list.
+All processes that have opened a dataset may do collective I/O. Each process may do an independent
+and arbitrary number of data I/O access calls, using:
+#H5Dwrite
+#H5Dread
+
+If a dataset is unlimited, you can extend it with a collective call to: #H5Dextend
+</li>
+</ul>
+</li>
+</ol>
+
+The following code demonstrates a collective write using Parallel HDF5:
+<em>C</em>
+\code
+ 95 /*
+ 96 * Create property list for collective dataset write.
+ 97 */
+ 98 plist_id = H5Pcreate (H5P_DATASET_XFER); 99 H5Pset_dxpl_mpio (plist_id, H5FD_MPIO_COLLECTIVE);
+ 100
+ 101 status = H5Dwrite (dset_id, H5T_NATIVE_INT, memspace, filespace,
+ 102 plist_id, data);
+\endcode
+
+<em>Fortran</em>
+\code
+ 108 ! Create property list for collective dataset write
+ 109 !
+ 110 CALL h5pcreate_f (H5P_DATASET_XFER_F, plist_id, error) 111 CALL h5pset_dxpl_mpio_f (plist_id, H5FD_MPIO_COLLECTIVE_F, error)
+ 112
+ 113 !
+ 114 ! Write the dataset collectively.
+ 115 !
+ 116 CALL h5dwrite_f (dset_id, H5T_NATIVE_INTEGER, data, dimsfi, error, &
+ 117 file_space_id = filespace, mem_space_id = memspace, xfer_prp = plist_id)
+\endcode
+
+The following example programs create an HDF5 dataset using Parallel HDF5:
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/C/H5Parallel/ph5_dataset.c">C: dataset.c</a>
+<a href="https://github.com/HDFGroup/hdf5-examples/blob/master/Fortran/H5Parallel/ph5_f90_dataset.F90">F90: dataset.F90</a>
+
+
+\subsubsection subsec_pintro_hyperslabs Hyperslabs
+The programming model for writing and reading hyperslabs is:
+/li Each process defines the memory and file hyperslabs.
+/li Each process executes a partial write/read call which is either collective or independent.
+
+The memory and file hyperslabs in the first step are defined with the #H5Sselect_hyperslab.
+
+The start (or offset), count, stride, and block parameters define the portion of the dataset
+to write to. By changing the values of these parameters you can write hyperslabs with Parallel
+HDF5 by contiguous hyperslab, by regularly spaced data in a column/row, by patterns, and by chunks:
+
+<table>
+<tr>
+<td>
+\li @subpage IntroParContHyperslab
+</td>
+</tr>
+<tr>
+<td>
+\li @subpage IntroParRegularSpaced
+</td>
+</tr>
+<tr>
+<td>
+\li @subpage IntroParPattern
+</td>
+</tr>
+<tr>
+<td>
+\li @subpage IntroParChunk
+</td>
+</tr>
+</table>
+
+
+<hr>
+Navigate back: \ref index "Main" / \ref GettingStarted
+
+*/
diff --git a/doxygen/dox/LearnBasics1.dox b/doxygen/dox/LearnBasics1.dox
index a9b6d0e..53c8e0a 100644
--- a/doxygen/dox/LearnBasics1.dox
+++ b/doxygen/dox/LearnBasics1.dox
@@ -642,7 +642,7 @@ See the programming example for an illustration of the use of these calls.
\subsection subsecLBDsetCreateContent File Contents
The contents of the file dset.h5 (dsetf.h5 for FORTRAN) are shown below:
<table>
-<caption>Contents of dset.h5 ( dsetf.h5)</caption>
+<caption>Contents of dset.h5 (dsetf.h5)</caption>
<tr>
<td>
\image html imgLBDsetCreate.gif
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diff --git a/examples/CMakeTests.cmake b/examples/CMakeTests.cmake
index 30f73c4..e2cd826 100644
--- a/examples/CMakeTests.cmake
+++ b/examples/CMakeTests.cmake
@@ -117,8 +117,8 @@ if (H5_HAVE_PARALLEL AND HDF5_TEST_PARALLEL AND NOT WIN32)
add_test (NAME MPI_TEST_EXAMPLES-${parallel_example} COMMAND ${MPIEXEC_EXECUTABLE} ${MPIEXEC_NUMPROC_FLAG} ${NUMPROCS} ${MPIEXEC_PREFLAGS} $<TARGET_FILE:${parallel_example}> ${MPIEXEC_POSTFLAGS})
else ()
add_test (NAME MPI_TEST_EXAMPLES-${parallel_example} COMMAND "${CMAKE_COMMAND}"
- -D "TEST_PROGRAM=${MPIEXEC_EXECUTABLE};${MPIEXEC_NUMPROC_FLAG};${NUMPROCS};${MPIEXEC_PREFLAGS};$<TARGET_FILE:${parallel_example}>;${MPIEXEC_POSTFLAGS}"
- -D "TEST_ARGS:STRING="
+ -D "TEST_PROGRAM=${MPIEXEC_EXECUTABLE}"
+ -D "TEST_ARGS:STRING=${MPIEXEC_NUMPROC_FLAG};${NUMPROCS};${MPIEXEC_PREFLAGS};$<TARGET_FILE:${parallel_example}>;${MPIEXEC_POSTFLAGS}"
-D "TEST_EXPECT=0"
-D "TEST_SKIP_COMPARE=TRUE"
-D "TEST_OUTPUT=${parallel_example}.out"
diff --git a/java/examples/datasets/CMakeLists.txt b/java/examples/datasets/CMakeLists.txt
index 6ed03ca..7542e8e 100644
--- a/java/examples/datasets/CMakeLists.txt
+++ b/java/examples/datasets/CMakeLists.txt
@@ -80,7 +80,7 @@ endforeach ()
if (BUILD_TESTING AND HDF5_TEST_EXAMPLES AND HDF5_TEST_SERIAL)
get_property (target_name TARGET ${HDF5_JAVA_JNI_LIB_TARGET} PROPERTY OUTPUT_NAME)
- set (CMD_ARGS "-Dhdf.hdf5lib.H5.loadLibraryName=${target_name}$<$<CONFIG:Debug>:${CMAKE_DEBUG_POSTFIX}>;")
+ set (CMD_ARGS "-Dhdf.hdf5lib.H5.loadLibraryName=${target_name}$<$<OR:$<CONFIG:Debug>,$<CONFIG:Developer>>:${CMAKE_DEBUG_POSTFIX}>;")
set (last_test "")
foreach (example ${HDF_JAVA_EXAMPLES})
diff --git a/tools/test/h5diff/CMakeTests.cmake b/tools/test/h5diff/CMakeTests.cmake
index 7e437af..ccb9380 100644
--- a/tools/test/h5diff/CMakeTests.cmake
+++ b/tools/test/h5diff/CMakeTests.cmake
@@ -422,8 +422,8 @@
add_test (
NAME MPI_TEST_H5DIFF-${resultfile}
COMMAND "${CMAKE_COMMAND}"
- -D "TEST_PROGRAM=${MPIEXEC_EXECUTABLE};${MPIEXEC_NUMPROC_FLAG};${MPIEXEC_MAX_NUMPROCS};${MPIEXEC_PREFLAGS};$<TARGET_FILE:ph5diff${tgt_file_ext}>;${MPIEXEC_POSTFLAGS}"
- -D "TEST_ARGS:STRING=${ARGN}"
+ -D "TEST_PROGRAM=${MPIEXEC_EXECUTABLE}"
+ -D "TEST_ARGS:STRING=${MPIEXEC_NUMPROC_FLAG};${MPIEXEC_MAX_NUMPROCS};${MPIEXEC_PREFLAGS};$<TARGET_FILE:ph5diff${tgt_file_ext}>;${MPIEXEC_POSTFLAGS};${ARGN}"
-D "TEST_FOLDER=${PROJECT_BINARY_DIR}/PAR/testfiles"
-D "TEST_OUTPUT=${resultfile}.out"
-D "TEST_EXPECT=0"
diff --git a/tools/test/h5dump/CMakeTests.cmake b/tools/test/h5dump/CMakeTests.cmake
index 0ae7bbd..cdc3be8 100644
--- a/tools/test/h5dump/CMakeTests.cmake
+++ b/tools/test/h5dump/CMakeTests.cmake
@@ -580,7 +580,7 @@
)
add_test (
NAME H5DUMP-${resultfile}-output-cmp
- COMMAND ${CMAKE_COMMAND} -E compare_files --ignore-eol ${resultfile}.txt ${resultfile}.exp
+ COMMAND ${CMAKE_COMMAND} -E compare_files ${CMAKE_IGNORE_EOL} ${resultfile}.txt ${resultfile}.exp
)
set_tests_properties (H5DUMP-${resultfile}-output-cmp PROPERTIES
DEPENDS H5DUMP-${resultfile}
@@ -645,7 +645,7 @@
)
add_test (
NAME H5DUMP-${resultfile}-output-cmp
- COMMAND ${CMAKE_COMMAND} -E compare_files --ignore-eol ${resultfile}.txt ${resultfile}.exp
+ COMMAND ${CMAKE_COMMAND} -E compare_files ${CMAKE_IGNORE_EOL} ${resultfile}.txt ${resultfile}.exp
)
set_tests_properties (H5DUMP-${resultfile}-output-cmp PROPERTIES
DEPENDS H5DUMP-${resultfile}
@@ -653,7 +653,7 @@
)
add_test (
NAME H5DUMP-${resultfile}-output-cmp-ddl
- COMMAND ${CMAKE_COMMAND} -E compare_files --ignore-eol ${ddlfile}.txt ${ddlfile}.exp
+ COMMAND ${CMAKE_COMMAND} -E compare_files ${CMAKE_IGNORE_EOL} ${ddlfile}.txt ${ddlfile}.exp
)
set_tests_properties (H5DUMP-${resultfile}-output-cmp-ddl PROPERTIES
DEPENDS H5DUMP-${resultfile}-output-cmp
@@ -699,7 +699,7 @@
)
add_test (
NAME H5DUMP-output-cmp-${resultfile}
- COMMAND ${CMAKE_COMMAND} -E compare_files --ignore-eol ${resultfile}.txt ${resultfile}.exp
+ COMMAND ${CMAKE_COMMAND} -E compare_files ${CMAKE_IGNORE_EOL} ${resultfile}.txt ${resultfile}.exp
)
set_tests_properties (H5DUMP-output-cmp-${resultfile} PROPERTIES
DEPENDS H5DUMP-output-${resultfile}
diff --git a/tools/test/misc/CMakeTestsClear.cmake b/tools/test/misc/CMakeTestsClear.cmake
index 5e307aa..a554972 100644
--- a/tools/test/misc/CMakeTestsClear.cmake
+++ b/tools/test/misc/CMakeTestsClear.cmake
@@ -99,6 +99,10 @@
-D "TEST_REFERENCE=${resultfile}.ddl"
-P "${HDF_RESOURCES_DIR}/runTest.cmake"
)
+ if (last_test)
+ set_tests_properties (H5CLEAR_CMP-${testname} PROPERTIES DEPENDS ${last_test})
+ endif ()
+ set (last_test "H5CLEAR_CMP-${testname}")
endif ()
endmacro ()
@@ -117,6 +121,10 @@
-D "TEST_ERRREF=${resultfile}.err"
-P "${HDF_RESOURCES_DIR}/runTest.cmake"
)
+ if (last_test)
+ set_tests_properties (H5CLEAR_CMP-${testname} PROPERTIES DEPENDS ${last_test})
+ endif ()
+ set (last_test "H5CLEAR_CMP-${testname}")
endif ()
endmacro ()