2021-07-07 23:45:54 -03:00

193 lines
5.4 KiB
Python

################ Lispy: Scheme Interpreter in Python 3.10
## (c) Peter Norvig, 2010-18; See http://norvig.com/lispy.html
## Minor edits for Fluent Python, Second Edition (O'Reilly, 2021)
## by Luciano Ramalho, adding type hints and pattern matching.
################ imports and types
import math
import operator as op
from collections import ChainMap
from collections.abc import MutableMapping, Iterator
from itertools import chain
from typing import Any, TypeAlias
Symbol: TypeAlias = str
Atom: TypeAlias = float | int | Symbol
Expression: TypeAlias = Atom | list
Environment: TypeAlias = MutableMapping[Symbol, object]
class Procedure:
"A user-defined Scheme procedure."
def __init__(self, parms: list[Symbol], body: list[Expression], env: Environment):
self.parms = parms
self.body = body
self.env = env
def __call__(self, *args: Expression) -> Any:
local_env = dict(zip(self.parms, args))
env: Environment = ChainMap(local_env, self.env)
for exp in self.body:
result = evaluate(exp, env)
return result
################ global environment
def standard_env() -> Environment:
"An environment with some Scheme standard procedures."
env: Environment = {}
env.update(vars(math)) # sin, cos, sqrt, pi, ...
env.update({
'+': op.add,
'-': op.sub,
'*': op.mul,
'/': op.truediv,
'//': op.floordiv,
'>': op.gt,
'<': op.lt,
'>=': op.ge,
'<=': op.le,
'=': op.eq,
'abs': abs,
'append': lambda *args: list(chain(*args)),
'apply': lambda proc, args: proc(*args),
'begin': lambda *x: x[-1],
'car': lambda x: x[0],
'cdr': lambda x: x[1:],
'cons': lambda x, y: [x] + y,
'eq?': op.is_,
'equal?': op.eq,
'filter': lambda *args: list(filter(*args)),
'length': len,
'list': lambda *x: list(x),
'list?': lambda x: isinstance(x, list),
'map': lambda *args: list(map(*args)),
'max': max,
'min': min,
'not': op.not_,
'null?': lambda x: x == [],
'number?': lambda x: isinstance(x, (int, float)),
'procedure?': callable,
'round': round,
'symbol?': lambda x: isinstance(x, Symbol),
})
return env
################ parse, tokenize, and read_from_tokens
def parse(program: str) -> Expression:
"Read a Scheme expression from a string."
return read_from_tokens(tokenize(program))
def tokenize(s: str) -> list[str]:
"Convert a string into a list of tokens."
return s.replace('(', ' ( ').replace(')', ' ) ').split()
def read_from_tokens(tokens: list[str]) -> Expression:
"Read an expression from a sequence of tokens."
if len(tokens) == 0:
raise SyntaxError('unexpected EOF while reading')
token = tokens.pop(0)
if '(' == token:
exp = []
while tokens[0] != ')':
exp.append(read_from_tokens(tokens))
tokens.pop(0) # discard ')'
return exp
elif ')' == token:
raise SyntaxError('unexpected )')
else:
return parse_atom(token)
def parse_atom(token: str) -> Atom:
"Numbers become numbers; every other token is a symbol."
try:
return int(token)
except ValueError:
try:
return float(token)
except ValueError:
return Symbol(token)
################ interaction: a REPL
def repl(prompt: str = 'lis.py> ') -> None:
"A prompt-read-evaluate-print loop."
global_env: Environment = standard_env()
while True:
val = evaluate(parse(input(prompt)), global_env)
if val is not None:
print(lispstr(val))
def lispstr(exp: object) -> str:
"Convert a Python object back into a Lisp-readable string."
if isinstance(exp, list):
return '(' + ' '.join(map(lispstr, exp)) + ')'
else:
return str(exp)
################ eval
# tag::EVALUATE[]
def evaluate(exp: Expression, env: Environment) -> Any:
"Evaluate an expression in an environment."
match exp:
case int(x) | float(x):
return x
case Symbol(var):
return env[var]
case []:
return []
case ['quote', exp]:
return exp
case ['if', test, consequence, alternative]:
if evaluate(test, env):
return evaluate(consequence, env)
else:
return evaluate(alternative, env)
case ['define', Symbol(var), value_exp]:
env[var] = evaluate(value_exp, env)
case ['define', [Symbol(name), *parms], *body]:
env[name] = Procedure(parms, body, env)
case ['lambda', [*parms], *body]:
return Procedure(parms, body, env)
case [op, *args]:
proc = evaluate(op, env)
values = [evaluate(arg, env) for arg in args]
return proc(*values)
case _:
raise SyntaxError(repr(exp))
# end::EVALUATE[]
################ non-interactive execution
def run_lines(source: str) -> Iterator[Any]:
global_env: Environment = standard_env()
tokens = tokenize(source)
while tokens:
exp = read_from_tokens(tokens)
yield evaluate(exp, global_env)
def run(source: str) -> Any:
for result in run_lines(source):
pass
return result