/**
This file contains the design thoughts and details about how we use set
theory and more formalized way to design a simple specification language to
abstractly describe a sequential data structure.
*/
1. Design goals:
We should design a specification language that users (developers of data
structures) can use to describe the specification of sequential data
structures. The language should be as mathematical and precise as possible,
while it provides enough expressiveness and usability for users. That's to
say, users can learn the language easily and take advantage of it to describe
as many data structures as possible, e.g, Lock, Queue, Dequeue, LinkedList,
Stack, Vector, Hashtable, and UnorderedPool(maybe).
2. Common data structures:
Data structures, to some degree, can be viewed as a collector with specific
operation on it. Those operations are done according to the maintained state
and pre-defined logic. Set in mathematics has similar characteristics, which
contains a collection of elements. However, elements in a set are distint.
Order_list, which is a list of elements that have a total order and can
duplicate, can be used to complement set. For example, a queue is a container
that has a FIFO order on the elements while a stack with a LIFO order. For
hashtable, it is a set of pairs (tuples) that has restrictions on the pairs.
3. Potential constructs:
a) Set
The set here is conceptually similar to the set in Set Theory. We define our
set as a collection of unique and unordered elements. Uniqueness here
implicates that the set element should provide an internal equality check.
The following is some basic manipulations on set:
1) Tuple
Every element is an n-dimentional tuple, and each element of a tuple is a
tuple. This is basically used to represent the mapping between elements such
as a HashMap. Some examples:
a or (a) // 1-dimentional tuple, actually any variable is a 1-dimentional tuple
(key, value) // 2-dimentional tuple
(a, (a, b)) // 2-dimentional tuple, while the second column is a tuple too
1-dimentional tuple is the most basic part, it should have a type, such as
integer, boolean, or other templated types. The type of a set can be derived
from the tuple too. For example, A, B and C are basic types or templated
types, we can have Set<(A)>, Set<(A, B)> or Set<(A, (B, C))> as different
types. Set<(A)> contains elements of type A, Set<(A, B)> contains tuples of
(A, B) and Set<(A, (B, C))> contains tuples of (A, (B, C)). We can get an
instance of tuple in a way like (key, value).
The tuple has its basic operation dimention(n), which returns the tuple of
its nth column.
2) Union, intersection, and complement.
new_set = union(s1, s2); // returns a new set
or
s1.union(s2); // s1 becomes the union of s1 and s2, and it returns the new s1
It takes two sets and return the union of the two sets. Same for the
intersection and complement.
3) Cartesian product
new_set = prod(s1, s2); // returns the cartisian product of s1 & s2
The result of this operation is that a new set of tuples of s1 and s2.
4) Remove
set.remove(elem);
5) Find
subset = set.find((key, *)); // use wildcard to find possible subset
b) Order_List
This is a list of tuples that has an order. It should have the following
operations:
1) push_back
list.push_back(elem);
2) push_front
list.push_front(elem);
3) remove_back
elem = list.remove_back();
4) remove_front
elem = list.remove_front();
5) Find
elem = list.find(elem);