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-rw-r--r--src/python/CMakeLists.txt2
-rw-r--r--src/python/doc/installation.rst16
-rw-r--r--src/python/gudhi/simplex_tree.pxd2
-rw-r--r--src/python/setup.py.in4
-rwxr-xr-xsrc/python/test/test_rips_complex.py21
5 files changed, 29 insertions, 16 deletions
diff --git a/src/python/CMakeLists.txt b/src/python/CMakeLists.txt
index 73303a24..a1440cbc 100644
--- a/src/python/CMakeLists.txt
+++ b/src/python/CMakeLists.txt
@@ -274,8 +274,6 @@ if(PYTHONINTERP_FOUND)
add_custom_target(python ALL DEPENDS gudhi.so
COMMENT "Do not forget to add ${CMAKE_CURRENT_BINARY_DIR}/ to your PYTHONPATH before using examples or tests")
- install(CODE "execute_process(COMMAND ${PYTHON_EXECUTABLE} ${CMAKE_CURRENT_BINARY_DIR}/setup.py install)")
-
set(GUDHI_PYTHON_PATH_ENV "PYTHONPATH=${CMAKE_CURRENT_BINARY_DIR}:$ENV{PYTHONPATH}")
# Documentation generation is available through sphinx - requires all modules
# Make it first as sphinx test is by far the longest test which is nice when testing in parallel
diff --git a/src/python/doc/installation.rst b/src/python/doc/installation.rst
index 66efe45a..9c16b04e 100644
--- a/src/python/doc/installation.rst
+++ b/src/python/doc/installation.rst
@@ -41,7 +41,7 @@ there.
The library uses c++14 and requires `Boost <https://www.boost.org/>`_ :math:`\geq` 1.56.0,
`CMake <https://www.cmake.org/>`_ :math:`\geq` 3.5 to generate makefiles,
-`NumPy <http://numpy.org>`_, `Cython <https://www.cython.org/>`_ and
+`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
@@ -99,20 +99,14 @@ Or install it definitely in your Python packages folder:
.. code-block:: bash
cd /path-to-gudhi/build/python
- # May require sudo or administrator privileges
- make install
+ python setup.py install # add --user to the command if you do not have the permission
+ # Or 'pip install .'
.. note::
- :code:`make install` is only a
- `CMake custom targets <https://cmake.org/cmake/help/latest/command/add_custom_target.html>`_
- to shortcut :code:`python setup.py install` command.
It does not take into account :code:`CMAKE_INSTALL_PREFIX`.
- But one can use :code:`python setup.py install ...` specific options in the python directory:
-
-.. code-block:: bash
-
- python setup.py install --prefix /home/gudhi # Install in /home/gudhi directory
+ But one can use
+ `alternate location installation <https://docs.python.org/3/install/#alternate-installation>`_.
Test suites
===========
diff --git a/src/python/gudhi/simplex_tree.pxd b/src/python/gudhi/simplex_tree.pxd
index 000323af..3b8ea4f9 100644
--- a/src/python/gudhi/simplex_tree.pxd
+++ b/src/python/gudhi/simplex_tree.pxd
@@ -44,7 +44,7 @@ cdef extern from "Simplex_tree_interface.h" namespace "Gudhi":
cdef cppclass Simplex_tree_interface_full_featured "Gudhi::Simplex_tree_interface<Gudhi::Simplex_tree_options_full_featured>":
- Simplex_tree() nogil
+ Simplex_tree_interface_full_featured() nogil
double simplex_filtration(vector[int] simplex) nogil
void assign_simplex_filtration(vector[int] simplex, double filtration) nogil
void initialize_filtration() nogil
diff --git a/src/python/setup.py.in b/src/python/setup.py.in
index 65f5446e..759ec8d8 100644
--- a/src/python/setup.py.in
+++ b/src/python/setup.py.in
@@ -85,7 +85,7 @@ setup(
long_description_content_type='text/x-rst',
long_description=long_description,
ext_modules = ext_modules,
- install_requires = ['numpy >= 1.9',],
- setup_requires = ['cython','numpy >= 1.9','pybind11',],
+ install_requires = ['numpy >= 1.15.0',],
+ setup_requires = ['cython','numpy >= 1.15.0','pybind11',],
package_data={"": ["*.dll"], },
)
diff --git a/src/python/test/test_rips_complex.py b/src/python/test/test_rips_complex.py
index b86e7498..a2f43a1b 100755
--- a/src/python/test/test_rips_complex.py
+++ b/src/python/test/test_rips_complex.py
@@ -133,3 +133,24 @@ def test_filtered_rips_from_distance_matrix():
assert simplex_tree.num_simplices() == 8
assert simplex_tree.num_vertices() == 4
+
+
+def test_sparse_with_multiplicity():
+ points = [
+ [3, 4],
+ [0.1, 2],
+ [0.1, 2],
+ [0.1, 2],
+ [0.1, 2],
+ [0.1, 2],
+ [0.1, 2],
+ [0.1, 2],
+ [0.1, 2],
+ [0.1, 2],
+ [0.1, 2],
+ [3, 4.1],
+ ]
+ rips = RipsComplex(points=points, sparse=0.01)
+ simplex_tree = rips.create_simplex_tree(max_dimension=2)
+ assert simplex_tree.num_simplices() == 7
+ diag = simplex_tree.persistence()