I was inspired by a link I had found on LtU: the Lisp 1.5 reference manual. If you look at page 13 you will see a simple definition of the core of Lisp. Really, it’s beautiful.
Accordingly, I spent a bit of time implementing the simplest possible Lisp in Python – it’s very tiny, only about 50 lines. This is maybe a rough equivalent of “stupid human tricks” for computers, but these little puzzles for some reason are fun once in a while, and you never know if what you learn might come in handy later.
As always with these kinds of things, I made it easier by cheaping it out. Basically, I’m using everything I can from Python: the datatypes, the stack, and the garbage collection.
import inspect
globs = {}
def isprim(name):
return inspect.isfunction(globs.get(name, None))
def islazy(name):
if isprim(name): return name in ['cond', 'quote', 'setq' ]
return globs.get(name, [None])[0] == 'macro'
def isatom(name):
return not (type(name) == list or type(name) == dict)
def setq(sexpr, context):
globs[sexpr[0]] = sexpr[1]
return sexpr[1]
def _apply(fn, args, context):
if isprim(fn): return globs[fn](args, context)
context = dict(zip(globs[fn][1], args))
return _eval(globs[fn][2], context)
def _eval(sexpr, context):
if isatom(sexpr):
if sexpr in context:
return context[sexpr]
return sexpr
fn = sexpr[0]
args = sexpr[1:]
if not islazy(fn):
args = map(lambda n: _eval(n, context), args)
return _apply(fn, args, context)
def _cond(sexpr, context):
for elem in sexpr[0]:
if _eval(elem[0], context): return _eval(elem[1], context)
return False
globs['setq'] = setq
globs['cond'] = _cond
globs['car'] = lambda sexpr, context: sexpr[0][0]
globs['cdr'] = lambda sexpr, context: sexpr[0][1:]
globs['quote'] = lambda sexpr, context: sexpr[0]
globs['+'] = lambda sexpr, context: sexpr[0] + sexpr[1]
globs['-'] = lambda sexpr, context: sexpr[0] - sexpr[1]
globs['*'] = lambda sexpr, context: sexpr[0] * sexpr[1]
globs['/'] = lambda sexpr, context: sexpr[0] / sexpr[1]
globs['equal?'] = lambda sexpr, context: sexpr[0] == sexpr[1]
Now test it out:
print _eval(['setq', 'factorial', ['lambda', ['x'],
['cond', [
[ ['equal?', 'x', 0], 1 ],
[ True, [ '*', 'x', ['factorial', ['-', 'x', 1]]]]]]]], globs)
print _eval(['factorial', 10], globs)
['lambda', ['x'], ['cond', [[['equal?', 'x', 0], 1],
[True, ['*', 'x', ['factorial', ['-', 'x', 1]]]]]]]
3628800
The interpreted version is “only” about 100x slower on factorial 100.
Python native: 0.000137090682983
Python/Lisp: 0.0119869709015
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