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Source: h5py
Maintainer: Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
Uploaders: Drew Parsons <dparsons@debian.org>
Section: python
Priority: optional
Build-Depends: debhelper-compat (= 13),
dh-sequence-python3,
pybuild-plugin-pyproject,
cython3,
dpkg-dev (>= 1.17.14),
libhdf5-dev,
libhdf5-mpi-dev (>= 1.10.6+repack-1),
liblzf-dev,
libpython3-all-dev,
mpi-default-dev,
pkgconf,
python3-all-dev:any,
python3-cached-property,
python3-mpi4py (>= 3.1.4),
python3-numpy (>= 2.0.0~),
python3-numpy-dev,
python3-pkgconfig,
python3-pytest <!nocheck>,
python3-pytest-mpi <!nocheck>,
python3-setuptools,
Build-Depends-Indep:
dh-sequence-sphinxdoc <!nodoc>,
libjs-mathjax,
python3-sphinx <!nodoc>,
python3-sphinx-rtd-theme <!nodoc>
Standards-Version: 4.7.2
Vcs-Browser: https://salsa.debian.org/science-team/h5py
Vcs-Git: https://salsa.debian.org/science-team/h5py.git
Homepage: https://www.h5py.org/
Package: python3-h5py
Architecture: all
Depends: python3-h5py-serial | python3-h5py-mpi,
${python3:Depends}, ${misc:Depends}
Suggests: python-h5py-doc <!nodoc>
Replaces: python3-h5py-serial (<< 3.10.0-1~)
Breaks: python3-h5py-serial (<< 3.10.0-1~)
Description: general-purpose Python interface to hdf5
HDF5 for Python (h5py) is a general-purpose Python interface to the
Hierarchical Data Format library, version 5. HDF5 is a versatile, mature
scientific software library designed for the fast, flexible storage of
enormous amounts of data.
.
From a Python programmer's perspective, HDF5 provides a robust way to
store data, organized by name in a tree-like fashion. You can create
datasets (arrays on disk) hundreds of gigabytes in size, and perform
random-access I/O on desired sections. Datasets are organized in a
filesystem-like hierarchy using containers called "groups", and accessed
using the tradional POSIX /path/to/resource syntax.
.
H5py provides a simple, robust read/write interface to HDF5 data from
Python. Existing Python and Numpy concepts are used for the interface;
for example, datasets on disk are represented by a proxy class that
supports slicing, and has dtype and shape attributes. HDF5 groups are
presented using a dictionary metaphor, indexed by name.
.
This is a simple dependency package which depends on the serial or
MPI build of h5py and provides test data files.
Package: python3-h5py-serial
Architecture: any
Depends: ${misc:Depends},
${python3:Depends},
${shlibs:Depends}
Recommends: python3-h5py
Suggests: python-h5py-doc <!nodoc>
Conflicts: python3-h5py (<< 2.10.0-3~)
Description: general-purpose Python interface to hdf5 (Python 3 serial)
HDF5 for Python (h5py) is a general-purpose Python interface to the
Hierarchical Data Format library, version 5. HDF5 is a versatile, mature
scientific software library designed for the fast, flexible storage of
enormous amounts of data.
.
From a Python programmer's perspective, HDF5 provides a robust way to
store data, organized by name in a tree-like fashion. You can create
datasets (arrays on disk) hundreds of gigabytes in size, and perform
random-access I/O on desired sections. Datasets are organized in a
filesystem-like hierarchy using containers called "groups", and accessed
using the tradional POSIX /path/to/resource syntax.
.
H5py provides a simple, robust read/write interface to HDF5 data from
Python. Existing Python and Numpy concepts are used for the interface;
for example, datasets on disk are represented by a proxy class that
supports slicing, and has dtype and shape attributes. HDF5 groups are
presented using a dictionary metaphor, indexed by name.
.
This package provides the modules for Python 3, built for serial
(single processor) jobs.
Package: python3-h5py-mpi
Architecture: any
Depends: ${misc:Depends},
${python3:Depends},
${shlibs:Depends},
python3-mpi4py (>= 3.0.3)
Recommends: python3-h5py
Suggests: python-h5py-doc <!nodoc>
Description: general-purpose Python interface to hdf5 (Python 3 MPI)
HDF5 for Python (h5py) is a general-purpose Python interface to the
Hierarchical Data Format library, version 5. HDF5 is a versatile, mature
scientific software library designed for the fast, flexible storage of
enormous amounts of data.
.
From a Python programmer's perspective, HDF5 provides a robust way to
store data, organized by name in a tree-like fashion. You can create
datasets (arrays on disk) hundreds of gigabytes in size, and perform
random-access I/O on desired sections. Datasets are organized in a
filesystem-like hierarchy using containers called "groups", and accessed
using the tradional POSIX /path/to/resource syntax.
.
H5py provides a simple, robust read/write interface to HDF5 data from
Python. Existing Python and Numpy concepts are used for the interface;
for example, datasets on disk are represented by a proxy class that
supports slicing, and has dtype and shape attributes. HDF5 groups are
presented using a dictionary metaphor, indexed by name.
.
This package provides the modules for Python 3, built with support
for MPI (multiprocessor) jobs.
Package: python-h5py-doc
Architecture: all
Multi-Arch: foreign
Section: doc
Depends: ${misc:Depends},
${sphinxdoc:Depends},
libjs-mathjax
Built-Using: ${sphinxdoc:Built-Using}
Description: documentation for h5py
HDF5 for Python (h5py) is a general-purpose Python interface to the
Hierarchical Data Format library, version 5. HDF5 is a versatile, mature
scientific software library designed for the fast, flexible storage of
enormous amounts of data.
.
From a Python programmer's perspective, HDF5 provides a robust way to
store data, organized by name in a tree-like fashion. You can create
datasets (arrays on disk) hundreds of gigabytes in size, and perform
random-access I/O on desired sections. Datasets are organized in a
filesystem-like hierarchy using containers called "groups", and accessed
using the tradional POSIX /path/to/resource syntax.
.
H5py provides a simple, robust read/write interface to HDF5 data from
Python. Existing Python and Numpy concepts are used for the interface;
for example, datasets on disk are represented by a proxy class that
supports slicing, and has dtype and shape attributes. HDF5 groups are
presented using a dictionary metaphor, indexed by name.
.
This package provides the documentation.
Build-Profiles: <!nodoc>
Package: hdf5-plugin-lzf
Architecture: any
Multi-Arch: same
Provides: hdf5-filter-plugin-lzf-serial, hdf5-filter-plugin-lzf-openmpi
Depends: ${misc:Depends},
${shlibs:Depends}
Suggests: libhdf5-dev | libhdf5-mpi-dev
Description: hdf5 plugin to lzf compression library
HDF5 (Hierarchical Data Format library, version 5) is a versatile,
mature scientific software library designed for the fast, flexible
storage of enormous amounts of data.
.
This package provides a plugin to the HDF5 LZF filter for the LZF
compression library. Plugins are built for both serial (single
processor) jobs (libhdf5-dev) and for multiprocessor (threaded) jobs
(libhdf5-mpi-dev).
|
