diff --git a/INSTALL.rst b/INSTALL.rst index c7cc5df8bf2bffeeae05b2dbb42698f61f294325..466fd5d16f8d095c93db3d41b158530d25f4049f 100644 --- a/INSTALL.rst +++ b/INSTALL.rst @@ -32,18 +32,18 @@ Building Kwant requires * `Python <https://www.python.org/>`_ 3.4 or above (Kwant 1.1 is the last version to support Python 2), * `NumPy <http://numpy.org/>`_ 1.8.1 or newer, - * `SciPy <https://scipy.org/>`_ 0.13.3 or newer, + * `SciPy <https://scipy.org/>`_ 0.14 or newer, * `LAPACK <http://netlib.org/lapack/>`_ and `BLAS <http://netlib.org/blas/>`_, (For best performance we recommend the free `OpenBLAS <http://www.openblas.net/>`_ or the nonfree `MKL <https://software.intel.com/en-us/intel-mkl>`_.) - * `Tinyarray <https://gitlab.kwant-project.org/kwant/tinyarray>`_, a NumPy-like - Python package optimized for very small arrays, + * `Tinyarray <https://gitlab.kwant-project.org/kwant/tinyarray>`_ 1.2 or newer, +a NumPy-like Python package optimized for very small arrays, * An environment which allows to compile Python extensions written in C and C++. The following software is highly recommended though not strictly required: - * `matplotlib <http://matplotlib.org/>`_ 1.3.1 or newer, for the module `kwant.plotter` and the tutorial, + * `matplotlib <http://matplotlib.org/>`_ 1.4.2 or newer, for the module `kwant.plotter` and the tutorial, * `SymPy <http://sympy.org/>`_ 0.7.6 or newer, for the subpackage `kwant.continuum`. * `MUMPS <http://graal.ens-lyon.fr/MUMPS/>`_, a sparse linear algebra library that will in many cases speed up Kwant several times and reduce the memory diff --git a/setup.py b/setup.py index 14df72adc544a3d8f7e35edd95797734accbb52e..f3268a2abf4bbf5a1bc34aed30b2810528fff5da 100755 --- a/setup.py +++ b/setup.py @@ -637,8 +637,8 @@ def main(): 'build_tut': build_tut, 'test': test}, ext_modules=exts, - install_requires=['numpy >= 1.8.1', 'scipy >= 0.14.0', - 'tinyarray >= 1.2.0'], + install_requires=['numpy >= 1.8.1', 'scipy >= 0.14', + 'tinyarray >= 1.2'], extras_require={ 'plotting': 'matplotlib >= 1.4.2', # Ubuntu 16.04 is the oldest supported distro with python3-sympy