This is going to be a dependency of the upcoming Gojim version 0.16, so
let's package it so it's easy to run release canidate versions using
overrideDerivation without much cruft.
Signed-off-by: aszlig <aszlig@redmoonstudios.org>
"OPC (OLE for Process Control) toolkit designed for use with Python"
This package contains a python module (OpenOPC) and a command line
client (opc). The OpenOPC Gateway Service for Windows is also copied to
$out, for reference.
It only works with python2.7 (not python3.x), so I'm not adding it to
python-packages.nix.
Also add needed dependency, python-pyro3, a distributed object
middleware for Python (IPC/RPC).
http://openopc.sourceforge.net/
This contains a context diff because the change is really very small and
gabrielfalcao/HTTPretty#180 cannot be used because it bumps the version
number.
The reason I'm not using sed here is because I deliberately want the
postPatch phase to fail for the next upstream version, so the patch/fix
is dropped on our side ASAP.
Signed-off-by: aszlig <aszlig@redmoonstudios.org>
Unfortunately the upstream version that can be found on PyPI doesn't
include test cases, so we need to fetchgit and wait until tests will be
shipped with a future upstream release.
Reported at gabrielfalcao/sure#61.
Signed-off-by: aszlig <aszlig@redmoonstudios.org>
From the project page [1]:
> PyTables is a package for managing hierarchical datasets and designed to
> efficiently and easily cope with extremely large amounts of data.
It offers read/write access to hdf5 archives through a hierarchical interface.
I am adding it, because pandas depends on tables for hdf5 read/write
functionality.
Note: The name is a bit of an issue. The project is called pytables, whereas
the python module is simply called tables. I chose to name the nix-expression
tables for consistency with the source-tarball and the module name.
[1]: http://www.pytables.org/moin
Description from the numexpr project page [1]:
> Numexpr is a fast numerical expression evaluator for NumPy. With it,
> expressions that operate on arrays (like "3*a+4*b") are accelerated and use
> less memory than doing the same calculation in Python.
I am adding it, because it is a dependency of the pytables package.
[1]: https://github.com/pydata/numexpr
