hdf5 1.10.10+repack-ok3 source package in openKylin
Changelog
hdf5 (1.10.10+repack-ok3) nile; urgency=medium * rebuild for no change -- liyang <email address hidden> Fri, 02 Aug 2024 09:43:18 +0800
hdf5 (1.10.10+repack-ok3) nile; urgency=medium * rebuild for no change -- liyang <email address hidden> Fri, 02 Aug 2024 09:43:18 +0800
| Series | Published | Component | Section | |
|---|---|---|---|---|
| Huanghe V3.0 | proposed | main | science | |
| Huanghe V3.0 | release | main | science | |
| Nile V2.0 | release | main | science | |
| Nile V2.0 | proposed | main | science |
| File | Size | SHA-256 Checksum |
|---|---|---|
| hdf5_1.10.10+repack.orig.tar.gz | 17.6 MiB | 3b62874f2755bd6921bd6e34f4d90929a591cf53199a64d915aecd4ea0b75662 |
| hdf5_1.10.10+repack-ok3.debian.tar.xz | 134.9 KiB | 12ae75d99084c04708dfbd67844591b0b14cf6a40d43f20e00bf7f76d4f017cf |
| hdf5_1.10.10+repack-ok3.dsc | 3.9 KiB | 4dc89668164ca7e5ec10698b97783c907b031e638356182f6e06e12e80459155 |
No description available for hdf5-helpers in openkylin nile.bedrock.
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.
No description available for libhdf5-103-1t64 in openkylin nile.bedrock.
No description available for libhdf5-
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.
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.
No description available for libhdf5-
No description available for libhdf5-
No description available for libhdf5-
No description available for libhdf5-
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.
No description available for libhdf5-
No description available for libhdf5-
No description available for libhdf5-
No description available for libhdf5-mpich-dev in openkylin nile.bedrock.
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.
No description available for libhdf5-
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.
No description available for libhdf5-
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.
No description available for libhdf5-
No description available for libhdf5-
No description available for libhdf5-
No description available for libhdf5-
No description available for libhdf5-
No description available for libhdf5-openmpi-dev in openkylin nile.bedrock.
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.
No description available for libhdf5-
No description available for libhdf5-
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.