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Datastructure for objects with prototype (clone) design pattern. #8702

@hivert

Description

@hivert

The idea is inspired from the "prototype" design pattern (see [Pro], [GOF]).

I want to define subclasses of Element with the following behavior: Those
classes are intended to be used to model mathematical objects, which are by
essence immutable. However, in many occasions, one wants to construct the
data-structure encoding of a new mathematical object by small modifications of
the data structure encoding some already built object. This is a very common
stuff for example in matrices: For example: given a matrix M we want to
replace every non_zero position by 1

            res = copy(M)
            for pos in res._nonzero_positions_by_row():
                res[pos] = 1
            res.set_immutable()

However in many cases, for the resulting data-structure to correctly encode
the mathematical object, some structural invariants must hold (say for example
we want that the matrix is symmetric). One problem is that, in many cases,
during the modification process, there is no possibility but to break the
invariants. Here there is no way to keep the matrix symmetric during the
replacement by 1...

A typical example in combinatorics, in a list modeling a permutation of
{1,...,n}, the integers must be distinct. A very common operation is to
take a permutation to make a copy with some small modifications, like
exchanging two consecutive values in the list or cycling some values. Though
the result is clearly a permutations there's no way to avoid breaking the
permutations invariants at some point during the modifications.

So the idea is the following: to allows local breaking of invariant on a
locally mutable copy and to check that things are restored in a proper state
at the end. So I wrote a small class called ClonableElement and several
derived subclasses (clone is the standard name for the copy method in the
"prototype" design pattern):

A class C inheriting from ClonableElement must implement the following
two methods

    - obj.__copy__() -- returns a fresh copy of obj
    - obj.check() -- returns nothing, raise an exception if obj
      doesn't satisfies the data structure invariants

Then, given an instance obj of C, the following sequences of
instructions ensures that the invariants of new_obj are properly
restored at the end

       with obj.clone() as new_obj:
           ...
           # lot of invariant breaking modifications on new_obj
           ...
       # invariants are ensured to be fulfilled

The following equivalent sequence of instructions can be used if speed is
needed, in particular in Cython code (unfortunately, the handling of the with
instruction make some overhead)...

       new_obj = obj.__copy__()
       ...
       # lot of invariant breaking modifications on new_obj
       ...
       new_obj.set_immutable()
       new_obj.check()
       # invariants are ensured to be fulfilled

I also took to chance to handle hashing...

This is the future Cython replacement for CombinatorialObject.

[Pro] Prototype pattern http://en.wikipedia.org/wiki/Prototype_pattern

[GOF] Design Patterns: Elements of Reusable Object-Oriented
Software. E. Gamma; R. Helm; R. Johnson; J. Vlissides (1994).
Addison-Wesley. ISBN 0-201-63361-2.

CC: @novoselt @mwhansen @sagetrac-sage-combinat

Component: combinatorics

Author: Florent Hivert

Reviewer: Mike Hansen

Merged: sage-4.6.2.alpha0

Issue created by migration from https://trac.sagemath.org/ticket/8702

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