Package: python3-h5py-mpi-dbg
Source: h5py (2.10.0-9)
Version: 2.10.0-9+b2
Architecture: amd64
Maintainer: Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
Installed-Size: 21357
Depends: python3-dbg (<< 3.10), python3-dbg (>= 3.9~), python3-numpy (>= 1:1.16.0~rc1), python3-numpy-abi9, libc6 (>= 2.14), libhdf5-openmpi-103-1 (>= 1.10.5), libhdf5-openmpi-hl-100 (>= 1.10.2), liblzf1 (>= 1.5), python3-h5py-mpi (= 2.10.0-9+b2), python3-h5py-serial-dbg (= 2.10.0-9+b2), python3-mpi4py-dbg, python3-numpy-dbg
Section: debug
Priority: optional
Multi-Arch: same
Homepage: https://www.h5py.org/
Description: debug extensions for h5py (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 debug extensions for Python 3, built with
 support for MPI (multiprocessor) jobs.
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