[pyviennacl] 01/03: remove egg info
Toby St Clere Smithe
tsmithe-guest at moszumanska.debian.org
Sat May 17 21:23:46 UTC 2014
This is an automated email from the git hooks/post-receive script.
tsmithe-guest pushed a commit to branch debian
in repository pyviennacl.
commit 8317f4ded54c383ad156eebf4e8d67bccc2640e4
Author: Toby Smithe <git at tsmithe.net>
Date: Sat May 17 20:23:39 2014 +0100
remove egg info
---
pyviennacl.egg-info/PKG-INFO | 262 -------------------------------------------
1 file changed, 262 deletions(-)
diff --git a/pyviennacl.egg-info/PKG-INFO b/pyviennacl.egg-info/PKG-INFO
deleted file mode 100644
index df581e9..0000000
--- a/pyviennacl.egg-info/PKG-INFO
+++ /dev/null
@@ -1,262 +0,0 @@
-Metadata-Version: 1.1
-Name: pyviennacl
-Version: 1.0.3
-Summary: Sparse/dense linear algebra on GPUs and CPUs using OpenCL
-Home-page: http://viennacl.sourceforge.net/pyviennacl.html
-Author: Toby St Clere Smithe
-Author-email: pyviennacl at tsmithe.net
-License: UNKNOWN
-Description: *****************
- PyViennaCL Readme
- *****************
-
-
- PyViennaCL around the web
- =========================
-
- * `Home page <http://viennacl.sourceforge.net/pyviennacl.html>`_
- * `Documentation <http://viennacl.sourceforge.net/pyviennacl/doc/index.html>`_
- * `GitHub <https://github.com/viennacl/pyviennacl-dev>`_ (`Issue tracker <https://github.com/viennacl/pyviennacl-dev/issues>`_)
-
-
- About PyViennaCL
- ================
-
- *PyViennaCL* aims to make fast, powerful GPGPU and heterogeneous
- scientific computing really transparently easy, especially for users
- already using NumPy for representing matrices.
-
- PyViennaCL does this by harnessing the `ViennaCL
- <http://viennacl.sourceforge.net/>`_ linear algebra and numerical computation
- library for GPGPU and heterogeneous systems, thereby making available to Python
- programmers ViennaCL’s fast *OpenCL* and *CUDA* algorithms. PyViennaCL does
- this in a way that is idiomatic and compatible with the Python community’s most
- popular scientific packages, *NumPy* and *SciPy*.
-
- PyViennaCL exposes the following functionality:
-
- * sparse (compressed, co-ordinate, ELL, and hybrid) and dense
- (row-major and column-major) matrices, vectors and scalars on your
- compute device using OpenCL;
- * standard arithmetic operations and mathematical functions;
- * fast matrix products for sparse and dense matrices, and inner and
- outer products for vectors;
- * direct solvers for dense triangular systems;
- * iterative solvers for sparse and dense systems, using the BiCGStab,
- CG, and GMRES algorithms;
- * iterative algorithms for eigenvalue estimation problems.
-
-
- Requirements
- ============
-
- PyViennaCL requires the following build dependencies:
-
- * a C++ compiler;
- * *Python* (2.7+) with *setuptools* [see below];
- * *NumPy* (1.7+);
- * *Sphinx* (1.0+) [if you want to build HTML documentation].
-
- It is also highly recommended to have an available *OpenCL*
- implementation, since PyViennaCL was designed for this case. If you do
- not have OpenCL available, then PyViennaCL will still build and
- function, but will not perform to full effect.
-
- If you have a Boost installation on your system, then PyViennaCL can
- also optionally use that, rather than the Boost subset shipped with
- the PyViennaCL sources.
-
- setuptools
- ----------
-
- PyViennaCL uses the Python package `setuptools
- <https://bitbucket.org/pypa/setuptools>`_ for installation. Unless you
- are using **Python 3.4**, which comes with the required pieces, you
- may need to install setuptools. The **best way to do so**, which will
- also ensure you have the Python package manager *pip* installed, is to
- follow `the instructions here
- <http://www.pip-installer.org/en/latest/installing.html>`_.
-
- OpenCL
- ------
-
- By default, you will need an OpenCL implementation. PyViennaCL can
- still build and function without one, but will not perform to full
- effect.
-
- For information on how to get an OpenCL implementation on Linux, see this
- `howto <http://wiki.tiker.net/OpenCLHowTo>`_.
- See also the installation section in the
- `ViennaCL Manual <http://viennacl.sourceforge.net/viennacl-manual-current.pdf>`_
- on installation hints for Windows.
-
- If you have an OpenCL installation that you installed and is not
- managed by your system's package manager, then it is likely you will
- need to use the '--cl-lib-dir' configure option.
-
- If you do not wish to use OpenCL, then follow the *Custom
- installation* instructions below, and use the '--no-use-opencl'
- configure option.
-
- Extra requirements for building from source on Windows systems
- --------------------------------------------------------------
-
- In addition to the components required above, Windows builds require
- the use of the Windows SDK version specific to the version of your
- Python installation. For instance, when you run Python, if you see the
- following::
-
- Python 2.7.6 (default, Nov 10 2013, 19:24:18) [MSC v.1500 32 bit (Intel)] on win32
-
- then you are using a release of Python 2.7 and you are building for a
- 32-bit installation of that version. You must therefore choose the SDK
- version and set the build environment accordingly.
-
- If you are building for a standard distribution (such as described in
- the example above) of Python 2.6, 2.7, 3.0, 3.1 or 3.2 (either 32- or
- 64-bit), you will need the `Microsoft Windows SDK v7.0 for Windows 7
- and .NET Framework 3.5 SP1
- <http://www.microsoft.com/en-us/download/details.aspx?id=18950>`_.
-
- If you are building for a standard distribution of Python 3.3 or later
- (32- or 64-bit), you will need the `Microsoft Windows SDK v7.1 for
- Windows 7 and .NET Framework 4
- <https://www.microsoft.com/en-us/download/details.aspx?id=8442>`_.
-
- Having installed the correct SDK version, you will need to open an SDK
- command prompt and issue the following commands, according the
- architecture of your Python installation.
-
- If you are building for a 32-bit Python installation, use::
-
- $> set DISTUTILS_USE_SDK=1
- $> setenv /x86 /release
-
- If you are building for a 64-bit Python installation, use::
-
- $> set DISTUTILS_USE_SDK=1
- $> setenv /x64 /release
-
- At this point, you will be able to follow the instructions detailed
- below under *Installation*. Issue all commands from within the SDK
- command window.
-
- You might also be interested in the `Python Tools for Visual Studio
- <https://pytools.codeplex.com/>`_, though these are not required
- either for building or using PyViennaCL.
-
-
- Installation
- ============
-
- Please note that the commands below assume that the various programs
- invoked are available in your system PATH; if they are not, please
- provide the full path to the executable on invocation.
-
- This is especially relevant on Windows systems, where Python is not by
- default installed into the path. So, in this case, you might have to
- run something like::
-
- $> C:\Python2.7\python -m pip install pyviennacl
-
- instead of just::
-
- $> pip install pyviennacl
-
- Quick installation using pip
- ----------------------------
-
- The following command should usually be enough to install PyViennaCL,
- as long as you have setuptools and pip installed (see above)::
-
- $> pip install pyviennacl
-
- If you have a recent installation of Python (2.7 or 3.3+), and a
- recent installation of pip (1.4+), then this should be painless.
-
- Note that this command assumes you have OpenCL available, and if you
- are on Linux, an OpenCL SDK.
-
- If this does not succeed, follow the instructions below.
-
- Custom installation
- -------------------
-
- These instructions assume a UNIX-like platform (such as a Linux
- distribution or Mac OS X), but will work on a well-configured Windows
- system with little modification.
-
- If you are building from the release package, move on to the next paragraph.
- If you are building from git, then before doing anything else,
- navigate to your PyViennaCL folder and get the external submodules with::
-
- $> git submodule update --init
-
- (On Windows you usually want to use the git bash for this)
-
- If you are in a hurry, then the following should just work::
-
- $> python setup.py build
- $> sudo python setup.py install
-
- Otherwise, read the configuration options, configure, build and
- install::
-
- $> ./configure.py --help
- $> ./configure.py --some-options
- $> python setup.py build
- $> sudo python setup.py install
-
- To build the HTML documentation using Sphinx, first install PyViennaCL
- as above, and then run::
-
- $> cd doc
- $> make html
-
- after which HTML documentation will be in doc/_build/html. Or you can
- just access the documentation from within the Python interpreter after
- installation::
-
- >>> import pyviennacl
- >>> help(pyviennacl)
-
-
- Authors and Contact
- ===================
-
- PyViennaCL was developed during the 2013 *Google Summer of Code* by
- `Toby St Clere Smithe <pyviennacl at tsmithe.net>`_.
-
- ViennaCL was developed under the aegis of the *Institute for Microelectronics*
- at the *Vienna University of Technology*.
-
- For any technical questions related to ViennaCL, please use `our
- mailing list <viennacl-support at lists.sourceforge.net>`_.
-
-
- Licence
- =======
-
- (Py)ViennaCL is distributed under the MIT (X11) License. See the file
- LICENSE in the source root directory.
-
-Platform: UNKNOWN
-Classifier: Environment :: Console
-Classifier: Development Status :: 5 - Production/Stable
-Classifier: Intended Audience :: Developers
-Classifier: Intended Audience :: Other Audience
-Classifier: Intended Audience :: Science/Research
-Classifier: License :: OSI Approved :: MIT License
-Classifier: Natural Language :: English
-Classifier: Programming Language :: C++
-Classifier: Programming Language :: Python
-Classifier: Programming Language :: Python :: 2
-Classifier: Programming Language :: Python :: 2.6
-Classifier: Programming Language :: Python :: 2.7
-Classifier: Programming Language :: Python :: 3
-Classifier: Programming Language :: Python :: 3.2
-Classifier: Programming Language :: Python :: 3.3
-Classifier: Programming Language :: Python :: 3.4
-Classifier: Topic :: Scientific/Engineering
-Classifier: Topic :: Scientific/Engineering :: Mathematics
-Classifier: Topic :: Scientific/Engineering :: Physics
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