1 / 15

Disjoint Unions (quick review)

Disjoint Unions (quick review). Pascal: variant record C/C++: union ML: union type Ada: discriminated record. What is a disjoint union?. “Another kind of composite value is the disjoint union , whereby a value is chosen from one of several (usually different) sets.” David Watt

porter-rhodes
Download Presentation

Disjoint Unions (quick review)

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Disjoint Unions(quick review) • Pascal: variant record • C/C++: union • ML: union type • Ada: discriminated record

  2. What is a disjoint union? • “Another kind of composite value is the disjoint union, whereby a value is chosen from one of several (usually different) sets.” David Watt Programming Language Design Concepts page 27

  3. S+T Values are tagged to indicate which set they are from: S+T = { left(x) | x in S }  { right(y) | y in T } Cardinality? #(S+T) = #S + #T

  4. ML datatype number = Exact of int | Inexact of real; datatype person = King | Peer of string*string*int | Knight of string | Peasant of string; Values: King, Peer(“Earl”, “Carlisle”, 7), Knight(“Gawain”), Peasant(“Jack Cade”) Paulson, ML for the Working Programmer pages 124-125

  5. OO disjoint unions(new material) • The main purpose of a disjoint union is to bring together values from different sets in a way that you can determine from which set a given value is drawn. • This type of structure is used very commonly in OO programming. • Polymorphism feeds off of this idea: implicit selection based on type.

  6. OO disjoint union example Disjoint union

  7. Recursive types • A type defined in terms of itself • Examples: lists, strings, trees, … • If R is a recursive type, #(R) is infinite. • Members of a recursive type are often finite, tough infinite members are possible (the list of all primes). • How? They are implicitly represented (think of function vs. array representation of mappings): e.g. lazy lists.

  8. Recursive type membership • Consider the list type: datatype ’a List = Nil | Cons of ’a * ’a List; • What are the members of this type? List(0) = Nil List(1) = List(0) U {Cons(x,y)| y in List(0)} … List(k) = List(k-1) U {Cons(x,y)| y in List(k-1)} List = Un=0…∞ List(n)

  9. C++ & pointer types • Languages like C++ do not directly support recursive types, but rather require the use of an indirection mechanism, the pointer. • This has to do with the semantics of assignment. If v is a recursive structure, what are reasonable semantics for w=v? • copy semantics – expensive • reference semantics – sharing • If language does not permit selective updating of a structure (as in a pure functional language) the semantics are indistinguishable).

  10. Type equivalence Type equivalence addresses the question of when two types are considered equivalent. • Structural equivalence • two types are equivalent if and only if they have the same set of values • Name equivalence • two types are equivalent if and only if they are defined in the same place

  11. Structural equivalence • Types S and T are equivalent iff • S and T are both primitive and S and T are identical • S=AxB and T=CxD are both cartesian products and A and C are equivalent and B and D are equivalent • S=AB and T=CD are both mappings and A and C are equivalent and B and D are equivalent • S=A+B and T=C+D are both disjoint unions and A and C are equivalent and B and D are equivalent • Otherwise, S and T are not equivalent.

  12. Name equivalence • Strictly, types are unique – each new type definition occurs in a different place, and so results in a new distinct type. • Pascal technically uses name equivalence, but in practice the rules are relaxed: • For example, suppose we wanted to define a file type to permit two programs to communicate via a file. Since the file type is defined in two different places (in two different programs) their files types are considered different (and hence incompatible).

  13. Name vs. Structural equivalence • Name equivalence forces each distinct type to be defined in one and only one place. This is sometimes inconvenient, but it helps to make the program more maintainable. (If the same type is defined in several places, and subsequently it has to be changed, the change must be made consistently in several places.) • Structural equivalence allows confusion between types that are only coincidentally similar. Watt, page 42

  14. Type Completeness Principle “No operation should be arbitrarily restricted in the types of its operands.” Watt, page 43 Types whose values are unrestricted in their usage are termed “first-class”, whereas those that are restricted are termed “second-class”. In Pascal procedures can be passed as arguments to other procedures, but cannot, for example, be part of a composite value. Pascal procedures are therefore second class. A language like ML imposes no such arbitrary type distinctions. All types are first-class.

  15. Erlang • About Erlang • Erlang at the movies!

More Related