On 22/12/2014 5:51 p.m., Laeeth Isharc wrote:
https://github.com/Laeeth/d_hdf5
HDF5 is a very valuable tool for those working with large data sets.
From HDF5group.org
HDF5 is a unique technology suite that makes possible the management of
extremely large and complex data collections. The HDF5 technology suite
includes:
* A versatile data model that can represent very complex data objects
and a wide variety of metadata.
* A completely portable file format with no limit on the number or size
of data objects in the collection.
* A software library that runs on a range of computational platforms,
from laptops to massively parallel systems, and implements a high-level
API with C, C++, Fortran 90, and Java interfaces.
* A rich set of integrated performance features that allow for access
time and storage space optimizations.
* Tools and applications for managing, manipulating, viewing, and
analyzing the data in the collection.
* The HDF5 data model, file format, API, library, and tools are open and
distributed without charge.
From h5py.org:
[HDF5] lets you store huge amounts of numerical data, and easily
manipulate that data from NumPy. For example, you can slice into
multi-terabyte datasets stored on disk, as if they were real NumPy
arrays. Thousands of datasets can be stored in a single file,
categorized and tagged however you want.
H5py uses straightforward NumPy and Python metaphors, like dictionary
and NumPy array syntax. For example, you can iterate over datasets in a
file, or check out the .shape or .dtype attributes of datasets. You
don't need to know anything special about HDF5 to get started.
In addition to the easy-to-use high level interface, h5py rests on a
object-oriented Cython wrapping of the HDF5 C API. Almost anything you
can do from C in HDF5, you can do from h5py.
Best of all, the files you create are in a widely-used standard binary
format, which you can exchange with other people, including those who
use programs like IDL and MATLAB.
===========
As far as I know there has not really been a complete set of HDF5
bindings for D yet.
Bindings should have three levels:
1. pure C API declaration
2. 'nice' D wrapper around C API (eg that knows about strings, not just
char*)
3. idiomatic D interface that uses CTFE/templates
I borrowed Stefan Frijter's work on (1) above to get started. I cannot
keep track of things when split over too many source files, so I put
everything in one file - hdf5.d.
Have implemented a basic version of 2. Includes throwOnError rather
than forcing checking status C style, but the exception code is not very
good/complete (time + lack of experience with D exceptions).
(3) will have to come later.
It's more or less complete, and the examples I have translated so far
mostly work. But still a work in progress. Any help/suggestions
appreciated. [I am doing this for myself, so project is not as pretty
as I would like in an ideal world].
https://github.com/Laeeth/d_hdf5
You seem to be missing your dub file. Would be rather hard to get it
onto dub repository without it ;)
Oh and keep the bindings separate from wrappers in terms of subpackages.
