Added Persistence::initialize(f) + fixed minor bug LinearKernel::sign_at_negative_infinity()
:class:`Simplex` class
======================
.. class:: Simplex
.. method:: __init__(seq[, data])
Initializes :class:`Simplex` from the given sequence `seq` and
optionally real value `data`, e.g.::
s = Simplex([1,2,3], 7.8)
.. method:: add(v)
Adds vertex `v` to the simplex, increasing its dimension by 1.
.. seealso:: :meth:`~Simplex.join`
.. attribute:: boundary
Iterator over the boundary :math:`\partial \sigma` of the simplex,
e.g.::
for sb in s.boundary: print sb
.. method:: contains(v)
:returns: `True` iff the simplex contains vertex `v`.
.. method:: dimension()
:returns: the dimension of the simplex (one less than its number of
vertices).
.. method:: join(other)
Joins the current simplex with the `other` simplex. The method copies over
the vertices from the `other` simplex.
.. attribute:: data
Real value stored in the simplex.
.. attribute:: vertices
(Sorted) vertices of the simplex accessible as a sequence, e.g.::
for v in s.vertices: print v,
.. method:: __hash__()
.. method:: __eq__(other)
Simplices are hashable, and equality comparable, and therefore can be
stored in a dictionary. Simplices are equal if their
:attr:`~Simplex.vertices` are the same.
Utility functions for manipulating simplices
--------------------------------------------
The first function :func:`vertex_cmp` is a Python interface to a C++ function.
The rest are pure Python functions defined in
:sfile:`bindings/python/dionysis/__init__.py`.
.. function:: vertex_cmp(s1, s2)
Compares the two simplices with respect to the lexicographic order of their vertices.
.. function:: vertex_dim_cmp(s1, s2)
Compares the two simplices with respect to their dimension, and lexicographically
within the same dimension.
.. function:: data_cmp(s1, s2)
Compares the two simplices with respect to the data (real values) they
store.
.. function:: data_dim_cmp(s1, s2)
Compares the two simplices with respect to their dimension and within the same
dimension with respect to their data.