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CS 294-8 The Spec Language http://www.cs.berkeley.edu/~yelick/294. OLD SLIDES FROM LAST TIME. Overview of SPEC. SPEC is a language for writing specifications and “implementations” Like a conventional programming language: extended with nondeterministic constructs

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cs 294 8 the spec language http www cs berkeley edu yelick 294

CS 294-8The Spec Languagehttp://www.cs.berkeley.edu/~yelick/294

overview of spec
Overview of SPEC
  • SPEC is a language for writing specifications and “implementations”
  • Like a conventional programming language:
    • extended with nondeterministic constructs
    • high level notation for sets, etc.
    • not constrained by efficiency concerns
  • Syntax strongly influenced by Modula 3
    • Module structure and some syntax
    • Might use different syntax for Java, C++, …
  • Semantics influenced by Dijkstra’s guarded command language and Nelson’s extension
example topological sort spec
Example: Topological Sort Spec

MODULE TopologicalSort EXPORT V, G, Q, TopSort =

TYPE V = IN 0 .. n

G = (V,V) -> Bool

Q = SEQ V

PROC TopSort (g) -> Q RAISES {cyclic} =

FUNC IsTSorted(q, g) -> Bool =

END TopologicalSort

example topological sort spec1
Example: Topological Sort Spec

PROC TopSort (g) -> Q RAISES {cyclic} =

IF VAR q | q IN (0 .. n).perms /\ IsTSorted(q,g)

=> RET q

[*] RAISE cyclic

FI

FUNC IsTSorted(q, g) -> Bool =

RET ~ (EXISTS v1 :IN q.dom, v2 :IN q.dom |

v2 < v1 /\ g(q(v1), q(v2))

5 2 2 5

v2 v1 …

types in spec
Types in SPEC
  • Two basic notions of type equality:
    • Structural: Two types are equal if they have the same structure.
    • Name: Type types are equal only if they have the same name.
  • SPEC uses structural equality
    • “Equal types define the same value set. Ideally the reversed would also be true, … but set equality is intractable.”
      • Do structurally equal types define the same type set?
      • What is an example of a 2 types that are not equal, even though they have the same type set?
type fitting
Type Fitting
  • For assignment x := e, the type of e must “fit” the declared type of x
  • Type T fits type U if they appear to have some value in common:
    • T = U
    • T = T’ SUCHTHAT F and T’ fits U (typechecker can’t tell)
    • T = (… + T’ + …) and T’ fits U
    • T = Int -> T’ or T = SEQ T’ and U = SEQ U’ and T’ fits U’ (sequences are functions)
    • Usual recursive defns for records, functions, …
  • Assignment can fail at runtime
expressions and commands
Expressions and Commands
  • An execution is a sequence of states

s1 s2 s3

“x*y+2”

14

  • Two different notions:
    • A command is a relation on states: defines a set of possible next states.
    • An expression maps variables in a state to a value
    • Expressions are functions; commands may be nondeterministic
expressions
Expressions
  • Most expressions values can be determined by evaluating sub-expressions first
    • Expressions have no side effects, so order doesn’t matter
  • Usually, exceptions and “undefined” values propagate through expressions, except
    • (pred => e1 [*] e2) which means: if pred is true, then use the value of e1, if pred is false, use the value of e2
    • Similarly for \/ /\ =>
commands define a state relation
Commands Define a State Relation

Skip is the identity relation.

SKIP

X=0 => SKIP

Adding guards subsets the next state relation.

the next state relation
The Next State Relation

Assignment leaves produces a state that is almost identical, except at the assigned variable.

y = 0 => y :=1

y :=1

Adding guards subsets the next state relation.

the next state relation1
The Next State Relation

Nondeterminism leads to union of next state relation.

X=0 => SKIP

[] y = 0 => y :=1

SKIP

[] y = 0 => y :=1

What does the relation look like for HAVOC?

nondeterminism and failures
Nondeterminism and Failures
  • In general, there are two different kinds of nondeterminism:
    • Blind, also called committed choice or indeterminism
    • Angelic, also called backtracking
  • SPEC uses angelic nondeterminism
    • ( c1 [] c2) fails only if both c1 and c2 fail
    • If one fails, the result will be the other
atomicity
Atomicity
  • Commands with <<…>> are atomic.
  • Commands without the angle brackets:
    • Things that can’t be reasonably split are still atomic: SKIP, HAVOC, RET, RAISE
    • An assignment is split between RHS evaluation and LHS assignment
    • A guarded command is split between guard eval and rest
    • Invocation is split after arg eval and at the end of the body
  • In either case, these atomic steps define the basic steps in the state machine.
atomicity and expressions
Atomicity and Expressions
  • Expression are free of side effects
  • Evaluation of expression is always atomic
  • This does not match shared memory programming atomicity
    • Breaks expression evaluation into some sequence of “loads” defined by compiler
    • Writes may be interleaved between these loads
modules
Modules
  • Modules are like classes, but they may define a set of types
  • Internal state may be needed in specifications
  • The externally visible types and procedures define the interface
    • We don’t look at the internal state for checking correctness of an implementation
search specification
Search Specification

APROC search (q: SEQ T, x: T) -> Int

RAISES {NotFound} =

<< IF VAR i: Int | (0 <= i /\ i < q.size /\ q(i) = x) => RET i

[*] RAISE NotFound FI >>

simpler

VAR i:IN q.dom | q(i)=x

  • Doesn’t say anything about search algorithm
  • Does not assume q is sorted, e.g., could add:
  • IF ~Sorted(q) => HAVOC
  • What’s wrong with adding:
  • IF ~Sorted(q) => RAISE NotSORTED
memory spec example
Memory Spec Example

MODULE Memory [A, D]

EXPORT Read, Write,

Reset, Swap =

TYPE M = A -> D

VAR m := Init()

APROC Init() -> M = << VAR m’ |

(ALL a | m’!a) =>

RET m’>>

END Memory

% parameterized over address and data type (homogeneous)

% internal state is m,

which is a function (think “static”)

% f!x means f is defined at x

% memory defined everywhere

memory example continued
Memory Example continued

% a implicitly type A

% FUNC cannot have side effects

% all operations are atomic

% f{x->y} is a function constructor (H5, p3 has M{*->d}

% memory defined everywhere

FUNC Read(a) -> D =

<< RET m(a) >>

APROC Write(a,d) =

<<m(a) := d>>

APROC Reset (d) =

<< m := m{* -> d} >>

APROC Swap(a,d) -> D

<< VAR d’ := m(a) |

m(a) := d; RET d’>>

write back cache implementation
Write-Back Cache Implementation

MODULE WBCache [A, D]

EXPORT Read, Write,

Reset, Swap =

TYPE M = A -> D

C = A -> D

CONST Csize : Int := …

VAR m := InitM()

VAR c := InitC()

END Memory

% Same signature as Memory

% New type C to represent the cache

% fixed size (always defined everywhere)

% Init implementations omitted here

% m is main memory and c is the cache

write back cache implementation1
Write-Back Cache Implementation

% In the Spec, Read was a FUNC, here it’s an APROC

% If the cache does not have a, make room.

% Either way, write c.

% Load the old value, read it, then write the new one

APROC Read(a) -> D =

<< Load(a); RET c(a) >>

APROC Write(a,d) =

<<IF ~c!a => FlushOne();

[*] SKIP FI;

c(a) := d >>

APROC Swap(a,d) -> D

<< VAR d’ | Load(a);

d’ = c(a); c(a) = d;

RET d’>>

write back cache implementation2
Write-Back Cache Implementation

% Ensure address and value are in cache

% If the cache does have a, make room.

% Undefine cache at a

% Do values differ? Is this efficient?

APROC Load (a) =

<<IF ~c!a => FlushOne();

c(a) := m(a) [*] SKIP FI; >>

APROC FlushOne() =

<<VAR a | c!a =>

IF Dirty(a) => m(a) := c(a)

[*] SKIP FI;

c := c{a -> } >>

FUNC Dirty(a) -> Bool =

<< RET c!a /\ c(a) # m(a)>>

abstraction functions
Abstraction Functions
  • A Spec Module defines a state machine
  • An execution fragment is

s0 s1 s2

  • An execution starts in an initial state

p0 p1 p2

some executions of wbcache
Some Executions of WBCache

write(2,a) write(4,c) (read(2),a) (read(3),a)

init

abstraction functions1
Abstraction Functions

FUNC AF() -> M = RET

(\ a | c!a => c(a) [*] m(a) )

  • Note that abstraction function maps each state in previous WBCache execution to Memory state
abstraction functions2
Abstraction Functions
  • An abstraction function F: T -> S has:
    • If t is any initial state of T, the F(t) is an initial state of S
    • If t is reachable state of T and (t, p, t’) is a step of T, then there is a step of S from F(t) to F(t’) having the same trace
  • Same trace means externally visible values.
administrivia
Administrivia
  • Thursday: Brendan Murphy
    • Papers online
  • No class next Tuesday
  • Extra makeup class this Friday afternoon in 405 (3:00pm)
  • Read sections 7,8 and 9 for Friday
  • Homework 3 online Thursday
  • Next Thursday: OceanStore
    • No post-coffee discussion