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authorMathieuCarriere <mathieu.carriere3@gmail.com>2022-02-14 18:57:53 +0100
committerMathieuCarriere <mathieu.carriere3@gmail.com>2022-02-14 18:57:53 +0100
commitfe3fb13a1a824ef0c915d626344d868eef6ecdcd (patch)
treed6caaf94666427f33c28bcfe39886ae1afc926ea /src/python/doc/installation.rst
parent041dfcf7cc72d3af78a20cfbd86ae629809ca13a (diff)
parent5e9f99b8b8ad7bf97a070b3578605a48fb484297 (diff)
Merge branch 'master' of https://github.com/GUDHI/gudhi-devel into diff
Diffstat (limited to 'src/python/doc/installation.rst')
-rw-r--r--src/python/doc/installation.rst97
1 files changed, 50 insertions, 47 deletions
diff --git a/src/python/doc/installation.rst b/src/python/doc/installation.rst
index bf0ee67a..dd476054 100644
--- a/src/python/doc/installation.rst
+++ b/src/python/doc/installation.rst
@@ -33,25 +33,19 @@ Compiling
These instructions are for people who want to compile gudhi from source, they are
unnecessary if you installed a binary package of Gudhi as above. They assume that
you have downloaded a `release <https://github.com/GUDHI/gudhi-devel/releases>`_,
-with a name like `gudhi.3.2.0.tar.gz`, then run `tar xf gudhi.3.2.0.tar.gz`, which
-created a directory `gudhi.3.2.0`, hereinafter referred to as `/path-to-gudhi/`.
+with a name like `gudhi.3.X.Y.tar.gz`, then run `tar xf gudhi.3.X.Y.tar.gz`, which
+created a directory `gudhi.3.X.Y`, hereinafter referred to as `/path-to-gudhi/`.
If you are instead using a git checkout, beware that the paths are a bit
different, and in particular the `python/` subdirectory is actually `src/python/`
there.
The library uses c++14 and requires `Boost <https://www.boost.org/>`_ :math:`\geq` 1.66.0,
`CMake <https://www.cmake.org/>`_ :math:`\geq` 3.5 to generate makefiles,
-`NumPy <http://numpy.org>`_ :math:`\geq` 1.15.0, `Cython <https://www.cython.org/>`_ and
-`pybind11 <https://github.com/pybind/pybind11>`_ to compile
-the GUDHI Python module.
-It is a multi-platform library and compiles on Linux, Mac OSX and Visual
-Studio 2017 or later.
+Python :math:`\geq` 3.5, `NumPy <http://numpy.org>`_ :math:`\geq` 1.15.0, `Cython <https://www.cython.org/>`_
+:math:`\geq` 0.27 and `pybind11 <https://github.com/pybind/pybind11>`_ to compile the GUDHI Python module.
+It is a multi-platform library and compiles on Linux, Mac OSX and Visual Studio 2017 or later.
-On `Windows <https://wiki.python.org/moin/WindowsCompilers>`_ , only Python
-:math:`\geq` 3.5 are available because of the required Visual Studio version.
-
-On other systems, if you have several Python/python installed, the version 2.X
-will be used by default, but you can force it by adding
+If you have several Python/python installed, the version 2.X may be used by default, but you can force it by adding
:code:`-DPython_ADDITIONAL_VERSIONS=3` to the cmake command.
GUDHI Python module compilation
@@ -142,54 +136,63 @@ If :code:`import gudhi` succeeds, please have a look to debug information:
.. code-block:: python
- import gudhi
- print(gudhi.__debug_info__)
+ import gudhi as gd
+ print(gd.__debug_info__)
+ print("+ Installed modules are: " + gd.__available_modules)
+ print("+ Missing modules are: " + gd.__missing_modules)
You shall have something like:
.. code-block:: none
- Python version 2.7.15
- Cython version 0.26.1
- Numpy version 1.14.1
- Eigen3 version 3.1.1
- Installed modules are: off_reader;simplex_tree;rips_complex;
- cubical_complex;periodic_cubical_complex;reader_utils;witness_complex;
- strong_witness_complex;alpha_complex;
- Missing modules are: bottleneck_distance;nerve_gic;subsampling;
- tangential_complex;persistence_graphical_tools;
- euclidean_witness_complex;euclidean_strong_witness_complex;
- CGAL version 4.7.1000
- GMP_LIBRARIES = /usr/lib/x86_64-linux-gnu/libgmp.so
- GMPXX_LIBRARIES = /usr/lib/x86_64-linux-gnu/libgmpxx.so
- TBB version 9107 found and used
+ Pybind11 version 2.8.1
+ Python version 3.7.12
+ Cython version 0.29.25
+ Numpy version 1.21.4
+ Boost version 1.77.0
+ + Installed modules are: off_reader;simplex_tree;rips_complex;cubical_complex;periodic_cubical_complex;
+ persistence_graphical_tools;reader_utils;witness_complex;strong_witness_complex;
+ + Missing modules are: bottleneck;nerve_gic;subsampling;tangential_complex;alpha_complex;euclidean_witness_complex;
+ euclidean_strong_witness_complex;
-Here, you can see that bottleneck_distance, nerve_gic, subsampling and
-tangential_complex are missing because of the CGAL version.
-persistence_graphical_tools is not available as matplotlib is not
-available.
+Here, you can see that the modules that need CGAL are missing, because CGAL is not installed.
+:code:`persistence_graphical_tools` is installed, but
+`its functions <https://gudhi.inria.fr/python/latest/persistence_graphical_tools_ref.html>`_ will produce an error as
+matplotlib is not available.
Unitary tests cannot be run as pytest is missing.
A complete configuration would be :
.. code-block:: none
- Python version 3.6.5
- Cython version 0.28.2
- Pytest version 3.3.2
- Matplotlib version 2.2.2
- Numpy version 1.14.5
- Eigen3 version 3.3.4
- Installed modules are: off_reader;simplex_tree;rips_complex;
- cubical_complex;periodic_cubical_complex;persistence_graphical_tools;
- reader_utils;witness_complex;strong_witness_complex;
- persistence_graphical_tools;bottleneck_distance;nerve_gic;subsampling;
- tangential_complex;alpha_complex;euclidean_witness_complex;
- euclidean_strong_witness_complex;
- CGAL header only version 4.11.0
+ Pybind11 version 2.8.1
+ Python version 3.9.7
+ Cython version 0.29.24
+ Pytest version 6.2.5
+ Matplotlib version 3.5.0
+ Numpy version 1.21.4
+ Scipy version 1.7.3
+ Scikit-learn version 1.0.1
+ POT version 0.8.0
+ HNSWlib found
+ PyKeOps version [pyKeOps]: 1.5
+ EagerPy version 0.30.0
+ TensorFlow version 2.7.0
+ Sphinx version 4.3.0
+ Sphinx-paramlinks version 0.5.2
+ python_docs_theme found
+ Eigen3 version 3.4.0
+ Boost version 1.74.0
+ CGAL version 5.3
GMP_LIBRARIES = /usr/lib/x86_64-linux-gnu/libgmp.so
GMPXX_LIBRARIES = /usr/lib/x86_64-linux-gnu/libgmpxx.so
+ MPFR_LIBRARIES = /usr/lib/x86_64-linux-gnu/libmpfr.so
TBB version 9107 found and used
+ + Installed modules are: bottleneck;off_reader;simplex_tree;rips_complex;cubical_complex;periodic_cubical_complex;
+ persistence_graphical_tools;reader_utils;witness_complex;strong_witness_complex;nerve_gic;subsampling;
+ tangential_complex;alpha_complex;euclidean_witness_complex;euclidean_strong_witness_complex;
+ + Missing modules are:
+
Documentation
=============
@@ -345,8 +348,8 @@ You can still deactivate LaTeX rendering by saying:
.. code-block:: python
- import gudhi
- gudhi.persistence_graphical_tools._gudhi_matplotlib_use_tex=False
+ import gudhi as gd
+ gd.persistence_graphical_tools._gudhi_matplotlib_use_tex=False
PyKeOps
-------