nixpkgs/pkgs/shells/ipython/default.nix
Bjørn Forsman 25c49767f3 ipython: modularize and enable more features
Add these new attributes (all default to true):

  notebookSupport
  qtconsoleSupport
  pylabSupport
  pylabQtSupport

This adds jinja2, matplotlib, pyqt4 and sip as new dependencies of
ipython.

This commit fixes "ipython --pylab" so that it no more errors out with
"ImportError: No module named matplotlib" (which was my initial goal).
2013-03-27 15:39:03 +01:00

57 lines
1.8 KiB
Nix

{ stdenv, fetchurl, buildPythonPackage, pythonPackages, pyqt4 ? null, sip ? null
, notebookSupport ? true # ipython notebook
, qtconsoleSupport ? true # ipython qtconsole
, pylabSupport ? true # ipython --pylab (backend: agg - no gui, just file)
, pylabQtSupport ? true # ipython --pylab=qt (backend: Qt4Agg - plot to window)
}:
# ipython qtconsole works with both pyside and pyqt4. But ipython --pylab=qt
# only works with pyqt4 (at least this is true for ipython 0.13.1). So just use
# pyqt4 for both.
assert qtconsoleSupport == true -> pyqt4 != null;
assert pylabQtSupport == true -> pyqt4 != null && sip != null;
buildPythonPackage rec {
name = "ipython-0.13.1";
namePrefix = "";
src = fetchurl {
url = "http://pypi.python.org/packages/source/i/ipython/${name}.tar.gz";
sha256 = "1h7q2zlyfn7si2vf6gnq2d0krkm1f5jy5nbi105by7zxqjai1grv";
};
propagatedBuildInputs = [
pythonPackages.readline
pythonPackages.sqlite3 # required for history support
] ++ stdenv.lib.optionals notebookSupport [
pythonPackages.tornado
pythonPackages.pyzmq
pythonPackages.jinja2
] ++ stdenv.lib.optionals qtconsoleSupport [
pythonPackages.pygments
pythonPackages.pyzmq
pyqt4
] ++ stdenv.lib.optionals pylabSupport [
pythonPackages.matplotlib
] ++ stdenv.lib.optionals pylabQtSupport [
pythonPackages.matplotlib
pyqt4
sip
];
doCheck = false;
meta = {
homepage = http://ipython.scipy.org/;
description = "An interactive computing environment for Python";
license = "BSD";
longDescription = ''
The goal of IPython is to create a comprehensive environment
for interactive and exploratory computing. It consists of an
enhanced interactive Python shell and an architecture for
interactive parallel computing.
'';
};
}