hdf5 1.10.10+repack-ok2 source package in openKylin
Changelog
hdf5 (1.10.10+repack-ok2) nile; urgency=medium * No change rebuild -- CI Bot <email address hidden> Wed, 22 May 2024 05:59:28 +0000
hdf5 (1.10.10+repack-ok2) nile; urgency=medium * No change rebuild -- CI Bot <email address hidden> Wed, 22 May 2024 05:59:28 +0000
Series | Published | Component | Section |
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File | Size | SHA-256 Checksum |
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hdf5_1.10.10+repack.orig.tar.gz | 17.6 MiB | 3b62874f2755bd6921bd6e34f4d90929a591cf53199a64d915aecd4ea0b75662 |
hdf5_1.10.10+repack-ok2.debian.tar.xz | 134.8 KiB | ea251190b90072a9cf41a1ef3886db6db5fde9da0c2dc24e7564fb19b41ebd38 |
hdf5_1.10.10+repack-ok2.dsc | 3.9 KiB | 6839ef78ca6ca33035c7df3328b8c4833e367605cec0c30f928efc64c384715f |
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains helper tools for HDF5.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains runtime tools for HDF5.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the C runtime files for serial platforms.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the C++ runtime files for serial platforms.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains development files for serial platforms.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains documentation for HDF5.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the Fortran runtime files for serial platforms.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the high level C API runtime files for serial platforms.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the high level C++ API runtime files for serial
platforms.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the high level Fortran API runtime files for serial
platforms.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the java wrapper library for HDF5.
This package is only useful with libhdf5-java.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package depends on the default MPI version of HDF5 for each platform.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the C runtime files for use with MPICH2.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the C++ runtime files for mpich platforms.
.
Warning: C++ with parallel HDF5 is not supported upstream. Use this
feature at your own risks.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains development files for use with MPICH2. Warning:
the C++ interface is not provided for this version.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the Fortran runtime files for mpich platforms.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the high level C API runtime files for mpich platforms.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the high level C++ API runtime files for mpich
platforms.
.
Warning: C++ with parallel HDF5 is not supported upstream. Use this
feature at your own risks.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the high level Fortran API runtime files for mpich
platforms.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the C runtime files for use with OpenMPI.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the C++ runtime files for openmpi platforms.
.
Warning: C++ with parallel HDF5 is not supported upstream. Use this
feature at your own risks.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains development files for use with OpenMPI.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the Fortran runtime files for openmpi platforms.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the high level C API runtime files for openmpi platforms.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the high level C++ API runtime files for openmpi
platforms.
.
Warning: C++ with parallel HDF5 is not supported upstream. Use this
feature at your own risks.
Hierarchical Data Format 5 (HDF5) is a file format and library for
storing scientific data. HDF5 was designed and implemented to address
the deficiencies of HDF4.x. It has a more powerful and flexible data
model, supports files larger than 2 GB, and supports parallel I/O.
.
This package contains the high level Fortran API runtime files for openmpi
platforms.