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Commit bb5bf832 authored by Christoph Groth's avatar Christoph Groth
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INSTALL: update and remove problematic "windows from source"

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INSTALL
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Installation instructions
=========================
Kwant can be installed either using some prepared packages (on Linux, Mac OSX,
and Windows), or it can be built and installed from source.
Kwant can be installed either using some prepared packages (on GNU/Linux, Mac OS
X, and Windows), or it can be built and installed from source.
Installation from packages is in general advisable, especially for novice
users. Expert users may find it helpful to build Kwant from source, as this
In general, installation from packages is advisable, especially for novice
users. Expert users may find it helpful to build Kwant from source, as this
will also allow them to customize Kwant to use certain optimized versions of
libraries.
......@@ -15,47 +15,85 @@ libraries.
Installing from packages
************************
Debian/Ubuntu Linux
===================
Debian GNU/Linux (and derivatives)
==================================
The easiest way to install Kwant on a Debian system is using the pre-built
packages we provide. Our packages are known to work with Debian "wheezy" and
Debian "jessie", but they may also work on many other recent Debian-derived
sytems as well. (For example the following works with recent Ubuntu
installations as well.)
You can install Kwant from the Debian repository. To do so you have to
The lines prefixed with ``sudo`` have to be run as root.
1. Add the following lines to `/etc/apt/sources.list`::
1. Add the following lines to ``/etc/apt/sources.list``::
deb http://kwant-project.org/debian/ stable main
deb-src http://kwant-project.org/debian/ stable main
2. (Optional) Add the PGP key used to sign the repositories by executing::
2. (Optional) Add the OpenPGP key used to sign the repositories by executing::
sudo apt-key adv --keyserver pgp.mit.edu --recv-key C3F147F5980F3535
sudo apt-key adv --keyserver pgp.mit.edu --recv-key 980F3535
(Feel free to verify the validity of this key using the web of trust!)
3. Update the package data, and install Kwant::
sudo apt-get update
sudo apt-get install python-kwant python-kwant-doc
The `python-kwant-doc` package is optional and contains the html
documentation for Kwant.
The `python-kwant-doc` package is optional and installs the HTML
documentation of Kwant in the directory ``/usr/share/doc/python-kwant-doc``.
Should the last command (``apt-get install``) fail due to unresolved
dependencies, you can try to build your own packages, which is surprisingly
easy::
cd /tmp
sudo apt-get build-dep tinyarray
apt-get source --compile tinyarray
sudo dpkg -i python-tinyarray_*.deb
sudo apt-get build-dep kwant
apt-get source --compile kwant
sudo dpkg -i python-kwant_*.deb python-kwant-doc_*.deb
This method should work for virtually all Debian-derived systems, even for
exotic architectures.
Ubuntu (and derivatives)
========================
TODO: Tell how to use the Ubuntu PPA.
Windows
=======
There are multiple Python distributions for Windows, the following uses the
Kwant prerequisites provided by Christoph Gohlke. To install Kwant on Windows
you have to
There are multiple distributions of scientific Python software for Windows that
provide the prerequisites for Kwant. We recommend to use the packages kindly
provided by Christoph Gohlke. To install Kwant on Windows
1. Determine whether you have a 32-bit or 64-bit Windows installation by
following these `instructions <http://support.microsoft.com/kb/827218>`_.
1. Determine whether you have 32 bit or 64 bit Windows installation by
following instructions from http://support.microsoft.com/kb/827218
2. Download and install Python 2.7 for the appropriate architecture (32-bit or
64-bit) from the official `Python download site
<http://www.python.org/download/>`_.
2. Download and install the appropriate version (32 bit or 64 bit) of Python
2.7.5 from http://www.python.org/download/
3. Download and install ``scipy-stack``, ``tinyarray``, and ``kwant`` for Python
2.7 from `Christoph Gohlke's page
<http://www.lfd.uci.edu/~gohlke/pythonlibs/>`_. Once again you should choose
the architecture that is appropriate for your system. ("win32" means 32-bit,
"amd64" means 64-bit -- even if you have a processor from Intel.) If the
download from Gohlke's site is slow, try to download from our `mirror
<http://downloads.kwant-project.org/gohlke-mirror/>`_.
You may see a warning that says "The publisher could not be verified. Do you
want to run this software?". Select "Run".
3. Download and install the latest available versions of `scipy-stack`,
`tinyarray`, and `kwant` from http://www.lfd.uci.edu/~gohlke/pythonlibs/
Once again you should select the 32 or 64 bit architecture that is
appropriate for your system You may receive a warning that says "The
publisher could not be verified. Do you want to run this software?". Select
"Run".
Mac OSX
=======
......@@ -115,6 +153,7 @@ In order to install Kwant, you have to
After that, you will need to close and reopen the terminal to
have all changes in effect.
Notes
.....
......@@ -125,6 +164,7 @@ Notes
* Of course, if you already have macports installed, you can skip step 1
and continue with step 2.
homebrew
--------
......@@ -260,8 +300,8 @@ directory of the Kwant source distribution.
System-specific instructions
============================
Unix-like systems (Linux)
-------------------------
Unix-like systems (GNU/Linux)
-----------------------------
Kwant should run on all recent Unix-like systems. The following instructions
have been verified to work on Debian 7 (Wheezy) or newer, and on Ubuntu 12.04 or
......@@ -345,6 +385,7 @@ Fortran code must be compiled with the Gnu Fortran compiler (there is
no Apple Fortran compiler). For this reason we force the Gnu compiler suite
with the environment variables ``CC`` and ``LDSHARED`` as shown above.
Notes on homebrew
.................
......@@ -364,90 +405,6 @@ want to compile/link against scotch/metis/mumps; you need to add these to the
build.conf file. Also, when linking against mumps, one needs also to link
against metis (in addition to the libraries needed for MacPorts).
Microsoft Windows
-----------------
This describes one way to build a 32 bit (win32) version of Kwant without MUMPS
on Windows using free software only. These instructions were verified in April
2013 with the following software versions: Windows XP SP3, Python 2.7.4,
scipy-stack 13.4.9, mingw-get-inst-20120426, OpenBLAS 0.2.6.
32-bit Kwant without MUMPS will be limited to rather small systems and will run
significantly slower than a Kwant with MUMPS. Volunteers who would like to
improve these instructions are welcome.
1. Install the official win32 Python 2.7 distribution from `the official Python
download page <http://python.org/download/>`_. See the point "Python 2.7.x
Windows Installer" there.
2. Install the Python packages required by Kwant (NumPy, SciPy, matplotlib). An
easy way to do so is to install the `scipy-stack package
<http://www.lfd.uci.edu/~gohlke/pythonlibs/#scipy-stack>`_ (win32-py2.7)
kindly provided by Christoph Gohlke. Please also note the instructions at
the top of that page.
3. Install `MinGW <http://mingw.org/wiki/Getting_Started>`_, the "Minimalist GNU
for Windows" (look for "mingw-get-inst" on that page). This is a version of
the GNU Compiler Collection (GCC) for Windows. Check the boxes for the C,
C++, and Fortran compilers and the "MSYS Basic System" when asked about which
components to install. Follow the instructions on the web page linked above
(section "Environment Settings") to append ``;C:\MinGW\bin`` to the value of
the PATH environment variable (or to create it).
4. Make MinGW the default compiler for distutils: Create the file
``c:\python27\lib\distutils\distutils.cfg`` (The exact path depends on where
Python has been installed) with the following contents:
[build]
compiler=mingw32
5. Until this `bug in distutils's support for MinGW
<http://bugs.python.org/issue12641>`_ is fixed, work around it by editing
``c:\python27/lib/distutils/cygwinccompiler.py`` and removing all the five
occurrences of the string ``-mno-cygwin``.
Now you have a complete environment for compiling Python extensions. To be
able to build Kwant, we need to install the required linear algebra
libraries.
6. Download `OpenBLAS <http://xianyi.github.com/OpenBLAS/>`_ (the download link
is at the bottom of the page). Unpack the archive and launch the "MinGW
shell". Inside the shell, the command ``mount`` will inform about how the
"drives" of windows are mounted into the single file system of MSYS.
Typically, drive C will be /c/.
Go to the root directory of the OpenBLAS distribution and execute
mingw-get install msys-wget
mingw-get install msys-perl
make USE_THREAD=0
(If you do not want to forcefully disable threading for OpenBLAS, simply use
``make``.)
This should create a file named like ``libopenblas_nehalem-r0.2.6.lib``
where the name of the architecture (here: nehalem) and the version might
differ in your case. Copy this file as ``openblas.lib`` into the library
directory of MinGW:
cp libopenblas_nehalem-r0.2.6.lib /c/MinGW/lib/openblas.lib
7. Unpack Tinyarray, enter its directory. To build and install, run ::
c:\python27\python setup.py build
c:\python27\python setup.py install
8. Inside the Kwant source distribution's root directory create a file
``build.conf`` with the following contents.::
[lapack]
libraries = openblas gfortran
Finally, build and install Kwant::
c:\python27\python setup.py build
c:\python27\python setup.py install
Build configuration
===================
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