下面是Lisp的程序員手冊第13頁的Lisp解釋了Ruby代碼:
# Kernel Extensions to support Lisp
class Object
def lisp_string
to_s
end
end
class NilClass
def lisp_string
"nil"
end
end
class Array
# Convert an Array into an S-expression (i.e. linked list).
# Subarrays are converted as well.
def sexp
result = nil
reverse.each do |item|
item = item.sexp if item.respond_to?(:sexp)
result = cons(item, result)
end
result
end
end
# The Basic Lisp Cons cell data structures. Cons cells consist of a
# head and a tail.
class Cons
attr_reader :head, :tail
def initialize(head, tail)
@head, @tail = head, tail
end
def ==(other)
return false unless other.class == Cons
return true if self.object_id == other.object_id
return car(self) == car(other) && cdr(self) == cdr(other)
end
# Convert the lisp expression to a string.
def lisp_string
e = self
result = "("
while e
if e.class != Cons
result << ". " << e.lisp_string
e = nil
else
result << car(e).lisp_string
e = cdr(e)
result << " " if e
end
end
result << ")"
result
end
end
# Lisp Primitive Functions.
# It is an atom if it is not a cons cell.
def atom?(a)
a.class != Cons
end
# Get the head of a list.
def car(e)
e.head
end
# Get the tail of a list.
def cdr(e)
e.tail
end
# Construct a new list from a head and a tail.
def cons(h,t)
Cons.new(h,t)
end
# Here is the guts of the Lisp interpreter. Apply and eval work
# together to interpret the S-expression. These definitions are taken
# directly from page 13 of the Lisp 1.5 Programmer's Manual.
def apply(fn, x, a)
if atom?(fn)
case fn
when :car then caar(x)
when :cdr then cdar(x)
when :cons then cons(car(x), cadr(x))
when :atom then atom?(car(x))
when :eq then car(x) == cadr(x)
else
apply(eval(fn,a), x, a)
end
elsif car(fn) == :lambda
eval(caddr(fn), pairlis(cadr(fn), x, a))
elsif car(fn) == :label
apply(caddr(fn), x, cons(cons(cadr(fn), caddr(fn)), a))
end
end
def eval(e,a)
if atom?(e)
cdr(assoc(e,a))
elsif atom?(car(e))
if car(e) == :quote
cadr(e)
elsif car(e) == :cond
evcon(cdr(e),a)
else
apply(car(e), evlis(cdr(e), a), a)
end
else
apply(car(e), evlis(cdr(e), a), a)
end
end
# And now some utility functions used by apply and eval. These are
# also given in the Lisp 1.5 Programmer's Manual.
def evcon(c,a)
if eval(caar(c), a)
eval(cadar(c), a)
else
evcon(cdr(c), a)
end
end
def evlis(m, a)
if m.nil?
nil
else
cons(eval(car(m),a), evlis(cdr(m), a))
end
end
def assoc(a, e)
if e.nil?
fail "#{a.inspect} not bound"
elsif a == caar(e)
car(e)
else
assoc(a, cdr(e))
end
end
def pairlis(vars, vals, a)
while vars && vals
a = cons(cons(car(vars), car(vals)), a)
vars = cdr(vars)
vals = cdr(vals)
end
a
end
# Handy lisp utility functions built on car and cdr.
def caar(e)
car(car(e))
end
def cadr(e)
car(cdr(e))
end
def caddr(e)
car(cdr(cdr(e)))
end
def cdar(e)
cdr(car(e))
end
def cadar(e)
car(cdr(car(e)))
end
所以我們說你有以下Lisp代碼:
(defun reverse (list)
(rev-shift list nil))
(defun rev-shift (list result)
(cond ((null list) result)
(t (rev-shift (cdr list) (cons (car list) result)))))
你可以在DSL中呈現爲:
require 'lisp'
# Create an environment where the reverse, rev_shift and null
# functions are bound to an appropriate identifier.
env = [
cons(:rev_shift,
[:lambda, [:list, :result],
[:cond,
[[:null, :list], :result],
[:t, [:rev_shift, [:cdr, :list],
[:cons, [:car, :list], :result]]]]].sexp),
cons(:reverse,
[:lambda, [:list], [:rev_shift, :list, nil]].sexp),
cons(:null, [:lambda, [:e], [:eq, :e, nil]].sexp),
cons(:t, true),
cons(nil, nil)
].sexp
# Evaluate an S-Expression and print the result
exp = [:reverse, [:quote, [:a, :b, :c, :d, :e]]].sexp
puts "EVAL: #{exp.lisp_string}"
puts " => #{eval(exp,env).lisp_string}"
(解釋器和示例的原始源can be found here。)
更新:剛纔意識到你在你的問題中提到了這個解決方案。
Prolog的東西看起來更像'草圖',而不是實際的實現。你爲什麼要在Ruby中使用Lisp? Ruby可能是實現其他語言的最差語言之一。有些情況下Ruby比典型的Lisp慢百倍:http://shootout.alioth.debian.org/u32/benchmark.php?test=all&lang = yarv&lang2 = sbcl - 現在想象一下運行在Ruby之上的Lisp的緩慢。 Lisp也不是DSL,而是一系列完全一般的編程語言。 – 2010-08-09 21:05:45
這與「外部DSL」有何不同? 「Prolog作爲Ruby DSL」稍微改變了Prolog的語法以在Ruby中工作。 「在Ruby中編寫的Lisp解釋器」還允許你在Ruby中編寫具有稍微不同語法的Lisp,例如'[]'而不是'()'和':lambda'而不是'lambda'。你還想要什麼? – Ken 2010-08-09 21:10:15
這純粹是作爲一種學習練習。我發現Lisp作爲一種語言引人入勝,但是很痛苦。我知道可以在Lisp裏面實現Lisp(我在20多年前就已經完成了!)。推測在Ruby中實現Lisp同樣很容易,只需要簡單得多的語法 - 這會讓我更容易理解發生了什麼。 – 2010-08-09 21:38:42