dream-coder / dreamcoder /domains /list /listPrimitives.py
Fraser-Greenlee
add dataset code
3bdb76c
from dreamcoder.program import Primitive, Program
from dreamcoder.grammar import Grammar
from dreamcoder.type import tlist, tint, tbool, arrow, t0, t1, t2
import math
from functools import reduce
def _flatten(l): return [x for xs in l for x in xs]
def _range(n):
if n < 100: return list(range(n))
raise ValueError()
def _if(c): return lambda t: lambda f: t if c else f
def _and(x): return lambda y: x and y
def _or(x): return lambda y: x or y
def _addition(x): return lambda y: x + y
def _subtraction(x): return lambda y: x - y
def _multiplication(x): return lambda y: x * y
def _negate(x): return -x
def _reverse(x): return list(reversed(x))
def _append(x): return lambda y: x + y
def _cons(x): return lambda y: [x] + y
def _car(x): return x[0]
def _cdr(x): return x[1:]
def _isEmpty(x): return x == []
def _single(x): return [x]
def _slice(x): return lambda y: lambda l: l[x:y]
def _map(f): return lambda l: list(map(f, l))
def _zip(a): return lambda b: lambda f: list(map(lambda x,y: f(x)(y), a, b))
def _mapi(f): return lambda l: list(map(lambda i_x: f(i_x[0])(i_x[1]), enumerate(l)))
def _reduce(f): return lambda x0: lambda l: reduce(lambda a, x: f(a)(x), l, x0)
def _reducei(f): return lambda x0: lambda l: reduce(
lambda a, t: f(t[0])(a)(t[1]), enumerate(l), x0)
def _fold(l): return lambda x0: lambda f: reduce(
lambda a, x: f(x)(a), l[::-1], x0)
def _eq(x): return lambda y: x == y
def _eq0(x): return x == 0
def _a1(x): return x + 1
def _d1(x): return x - 1
def _mod(x): return lambda y: x % y
def _not(x): return not x
def _gt(x): return lambda y: x > y
def _index(j): return lambda l: l[j]
def _replace(f): return lambda lnew: lambda lin: _flatten(
lnew if f(i)(x) else [x] for i, x in enumerate(lin))
def _isPrime(n):
return n in {
2,
3,
5,
7,
11,
13,
17,
19,
23,
29,
31,
37,
41,
43,
47,
53,
59,
61,
67,
71,
73,
79,
83,
89,
97,
101,
103,
107,
109,
113,
127,
131,
137,
139,
149,
151,
157,
163,
167,
173,
179,
181,
191,
193,
197,
199}
def _isSquare(n):
return int(math.sqrt(n)) ** 2 == n
def _appendmap(f): lambda xs: [y for x in xs for y in f(x)]
def _filter(f): return lambda l: list(filter(f, l))
def _any(f): return lambda l: any(f(x) for x in l)
def _all(f): return lambda l: all(f(x) for x in l)
def _find(x):
def _inner(l):
try:
return l.index(x)
except ValueError:
return -1
return _inner
def _unfold(x): return lambda p: lambda h: lambda n: __unfold(p, f, n, x)
def __unfold(p, f, n, x, recursion_limit=50):
if recursion_limit <= 0:
raise RecursionDepthExceeded()
if p(x):
return []
return [f(x)] + __unfold(p, f, n, n(x), recursion_limit - 1)
class RecursionDepthExceeded(Exception):
pass
def _fix(argument):
def inner(body):
recursion_limit = [20]
def fix(x):
def r(z):
recursion_limit[0] -= 1
if recursion_limit[0] <= 0:
raise RecursionDepthExceeded()
else:
return fix(z)
return body(r)(x)
return fix(argument)
return inner
def curry(f): return lambda x: lambda y: f((x, y))
def _fix2(a1):
return lambda a2: lambda body: \
_fix((a1, a2))(lambda r: lambda n_l: body(curry(r))(n_l[0])(n_l[1]))
primitiveRecursion1 = Primitive("fix1",
arrow(t0,
arrow(arrow(t0, t1), t0, t1),
t1),
_fix)
primitiveRecursion2 = Primitive("fix2",
arrow(t0, t1,
arrow(arrow(t0, t1, t2), t0, t1, t2),
t2),
_fix2)
def _match(l):
return lambda b: lambda f: b if l == [] else f(l[0])(l[1:])
def primitives():
return [Primitive(str(j), tint, j) for j in range(6)] + [
Primitive("empty", tlist(t0), []),
Primitive("singleton", arrow(t0, tlist(t0)), _single),
Primitive("range", arrow(tint, tlist(tint)), _range),
Primitive("++", arrow(tlist(t0), tlist(t0), tlist(t0)), _append),
# Primitive("map", arrow(arrow(t0, t1), tlist(t0), tlist(t1)), _map),
Primitive(
"mapi",
arrow(
arrow(
tint,
t0,
t1),
tlist(t0),
tlist(t1)),
_mapi),
# Primitive("reduce", arrow(arrow(t1, t0, t1), t1, tlist(t0), t1), _reduce),
Primitive(
"reducei",
arrow(
arrow(
tint,
t1,
t0,
t1),
t1,
tlist(t0),
t1),
_reducei),
Primitive("true", tbool, True),
Primitive("not", arrow(tbool, tbool), _not),
Primitive("and", arrow(tbool, tbool, tbool), _and),
Primitive("or", arrow(tbool, tbool, tbool), _or),
# Primitive("if", arrow(tbool, t0, t0, t0), _if),
Primitive("sort", arrow(tlist(tint), tlist(tint)), sorted),
Primitive("+", arrow(tint, tint, tint), _addition),
Primitive("*", arrow(tint, tint, tint), _multiplication),
Primitive("negate", arrow(tint, tint), _negate),
Primitive("mod", arrow(tint, tint, tint), _mod),
Primitive("eq?", arrow(tint, tint, tbool), _eq),
Primitive("gt?", arrow(tint, tint, tbool), _gt),
Primitive("is-prime", arrow(tint, tbool), _isPrime),
Primitive("is-square", arrow(tint, tbool), _isSquare),
# these are achievable with above primitives, but unlikely
#Primitive("flatten", arrow(tlist(tlist(t0)), tlist(t0)), _flatten),
# (lambda (reduce (lambda (lambda (++ $1 $0))) empty $0))
Primitive("sum", arrow(tlist(tint), tint), sum),
# (lambda (lambda (reduce (lambda (lambda (+ $0 $1))) 0 $0)))
Primitive("reverse", arrow(tlist(t0), tlist(t0)), _reverse),
# (lambda (reduce (lambda (lambda (++ (singleton $0) $1))) empty $0))
Primitive("all", arrow(arrow(t0, tbool), tlist(t0), tbool), _all),
# (lambda (lambda (reduce (lambda (lambda (and $0 $1))) true (map $1 $0))))
Primitive("any", arrow(arrow(t0, tbool), tlist(t0), tbool), _any),
# (lambda (lambda (reduce (lambda (lambda (or $0 $1))) true (map $1 $0))))
Primitive("index", arrow(tint, tlist(t0), t0), _index),
# (lambda (lambda (reducei (lambda (lambda (lambda (if (eq? $1 $4) $0 0)))) 0 $0)))
Primitive("filter", arrow(arrow(t0, tbool), tlist(t0), tlist(t0)), _filter),
# (lambda (lambda (reduce (lambda (lambda (++ $1 (if ($3 $0) (singleton $0) empty)))) empty $0)))
#Primitive("replace", arrow(arrow(tint, t0, tbool), tlist(t0), tlist(t0), tlist(t0)), _replace),
# (FLATTEN (lambda (lambda (lambda (mapi (lambda (lambda (if ($4 $1 $0) $3 (singleton $1)))) $0)))))
Primitive("slice", arrow(tint, tint, tlist(t0), tlist(t0)), _slice),
# (lambda (lambda (lambda (reducei (lambda (lambda (lambda (++ $2 (if (and (or (gt? $1 $5) (eq? $1 $5)) (not (or (gt? $4 $1) (eq? $1 $4)))) (singleton $0) empty))))) empty $0))))
]
def basePrimitives():
return [Primitive(str(j), tint, j) for j in range(6)] + [
Primitive("*", arrow(tint, tint, tint), _multiplication),
Primitive("gt?", arrow(tint, tint, tbool), _gt),
Primitive("is-prime", arrow(tint, tbool), _isPrime),
Primitive("is-square", arrow(tint, tbool), _isSquare),
# McCarthy
Primitive("empty", tlist(t0), []),
Primitive("cons", arrow(t0, tlist(t0), tlist(t0)), _cons),
Primitive("car", arrow(tlist(t0), t0), _car),
Primitive("cdr", arrow(tlist(t0), tlist(t0)), _cdr),
Primitive("empty?", arrow(tlist(t0), tbool), _isEmpty),
Primitive("if", arrow(tbool, t0, t0, t0), _if),
Primitive("eq?", arrow(tint, tint, tbool), _eq),
Primitive("+", arrow(tint, tint, tint), _addition),
Primitive("-", arrow(tint, tint, tint), _subtraction)
]
zip_primitive = Primitive("zip", arrow(tlist(t0), tlist(t1), arrow(t0, t1, t2), tlist(t2)), _zip)
def bootstrapTarget():
"""These are the primitives that we hope to learn from the bootstrapping procedure"""
return [
# learned primitives
Primitive("map", arrow(arrow(t0, t1), tlist(t0), tlist(t1)), _map),
Primitive("unfold", arrow(t0, arrow(t0,tbool), arrow(t0,t1), arrow(t0,t0), tlist(t1)), _unfold),
Primitive("range", arrow(tint, tlist(tint)), _range),
Primitive("index", arrow(tint, tlist(t0), t0), _index),
Primitive("fold", arrow(tlist(t0), t1, arrow(t0, t1, t1), t1), _fold),
Primitive("length", arrow(tlist(t0), tint), len),
# built-ins
Primitive("if", arrow(tbool, t0, t0, t0), _if),
Primitive("+", arrow(tint, tint, tint), _addition),
Primitive("-", arrow(tint, tint, tint), _subtraction),
Primitive("empty", tlist(t0), []),
Primitive("cons", arrow(t0, tlist(t0), tlist(t0)), _cons),
Primitive("car", arrow(tlist(t0), t0), _car),
Primitive("cdr", arrow(tlist(t0), tlist(t0)), _cdr),
Primitive("empty?", arrow(tlist(t0), tbool), _isEmpty),
] + [Primitive(str(j), tint, j) for j in range(2)]
def bootstrapTarget_extra():
"""This is the bootstrap target plus list domain specific stuff"""
return bootstrapTarget() + [
Primitive("*", arrow(tint, tint, tint), _multiplication),
Primitive("mod", arrow(tint, tint, tint), _mod),
Primitive("gt?", arrow(tint, tint, tbool), _gt),
Primitive("eq?", arrow(tint, tint, tbool), _eq),
Primitive("is-prime", arrow(tint, tbool), _isPrime),
Primitive("is-square", arrow(tint, tbool), _isSquare),
]
def no_length():
"""this is the primitives without length because one of the reviewers wanted this"""
return [p for p in bootstrapTarget() if p.name != "length"] + [
Primitive("*", arrow(tint, tint, tint), _multiplication),
Primitive("mod", arrow(tint, tint, tint), _mod),
Primitive("gt?", arrow(tint, tint, tbool), _gt),
Primitive("eq?", arrow(tint, tint, tbool), _eq),
Primitive("is-prime", arrow(tint, tbool), _isPrime),
Primitive("is-square", arrow(tint, tbool), _isSquare),
]
def McCarthyPrimitives():
"These are < primitives provided by 1959 lisp as introduced by McCarthy"
return [
Primitive("empty", tlist(t0), []),
Primitive("cons", arrow(t0, tlist(t0), tlist(t0)), _cons),
Primitive("car", arrow(tlist(t0), t0), _car),
Primitive("cdr", arrow(tlist(t0), tlist(t0)), _cdr),
Primitive("empty?", arrow(tlist(t0), tbool), _isEmpty),
#Primitive("unfold", arrow(t0, arrow(t0,t1), arrow(t0,t0), arrow(t0,tbool), tlist(t1)), _isEmpty),
#Primitive("1+", arrow(tint,tint),None),
# Primitive("range", arrow(tint, tlist(tint)), range),
# Primitive("map", arrow(arrow(t0, t1), tlist(t0), tlist(t1)), _map),
# Primitive("index", arrow(tint,tlist(t0),t0),None),
# Primitive("length", arrow(tlist(t0),tint),None),
primitiveRecursion1,
#primitiveRecursion2,
Primitive("gt?", arrow(tint, tint, tbool), _gt),
Primitive("if", arrow(tbool, t0, t0, t0), _if),
Primitive("eq?", arrow(tint, tint, tbool), _eq),
Primitive("+", arrow(tint, tint, tint), _addition),
Primitive("-", arrow(tint, tint, tint), _subtraction),
] + [Primitive(str(j), tint, j) for j in range(2)]
if __name__ == "__main__":
bootstrapTarget()
g = Grammar.uniform(McCarthyPrimitives())
# with open("/home/ellisk/om/ec/experimentOutputs/list_aic=1.0_arity=3_ET=1800_expandFrontier=2.0_it=4_likelihoodModel=all-or-nothing_MF=5_baseline=False_pc=10.0_L=1.0_K=5_rec=False.pickle", "rb") as handle:
# b = pickle.load(handle).grammars[-1]
# print b
p = Program.parse(
"(lambda (lambda (lambda (if (empty? $0) empty (cons (+ (car $1) (car $0)) ($2 (cdr $1) (cdr $0)))))))")
t = arrow(tlist(tint), tlist(tint), tlist(tint)) # ,tlist(tbool))
print(g.logLikelihood(arrow(t, t), p))
assert False
print(b.logLikelihood(arrow(t, t), p))
# p = Program.parse("""(lambda (lambda
# (unfold 0
# (lambda (+ (index $0 $2) (index $0 $1)))
# (lambda (1+ $0))
# (lambda (eq? $0 (length $1))))))
# """)
p = Program.parse("""(lambda (lambda
(map (lambda (+ (index $0 $2) (index $0 $1))) (range (length $0)) )))""")
# .replace("unfold", "#(lambda (lambda (lambda (lambda (fix1 $0 (lambda (lambda (#(lambda (lambda (lambda (if $0 empty (cons $1 $2))))) ($1 ($3 $0)) ($4 $0) ($5 $0)))))))))").\
# replace("length", "#(lambda (fix1 $0 (lambda (lambda (if (empty? $0) 0 (+ ($1 (cdr $0)) 1))))))").\
# replace("forloop", "(#(lambda (lambda (lambda (lambda (fix1 $0 (lambda (lambda (#(lambda (lambda (lambda (if $0 empty (cons $1 $2))))) ($1 ($3 $0)) ($4 $0) ($5 $0))))))))) (lambda (#(eq? 0) $0)) $0 (lambda (#(lambda (- $0 1)) $0)))").\
# replace("inc","#(lambda (+ $0 1))").\
# replace("drop","#(lambda (lambda (fix2 $0 $1 (lambda (lambda (lambda (if
# (#(eq? 0) $1) $0 (cdr ($2 (- $1 1) $0)))))))))"))
print(p)
print(g.logLikelihood(t, p))
assert False
print("??")
p = Program.parse(
"#(lambda (#(lambda (lambda (lambda (fix1 $0 (lambda (lambda (if (empty? $0) $3 ($4 (car $0) ($1 (cdr $0)))))))))) (lambda $1) 1))")
for j in range(10):
l = list(range(j))
print(l, p.evaluate([])(lambda x: x * 2)(l))
print()
print()
print("multiply")
p = Program.parse(
"(lambda (lambda (lambda (if (eq? $0 0) 0 (+ $1 ($2 $1 (- $0 1)))))))")
print(g.logLikelihood(arrow(arrow(tint, tint, tint), tint, tint, tint), p))
print()
print("take until 0")
p = Program.parse("(lambda (lambda (if (eq? $1 0) empty (cons $1 $0))))")
print(g.logLikelihood(arrow(tint, tlist(tint), tlist(tint)), p))
print()
print("countdown primitive")
p = Program.parse(
"(lambda (lambda (if (eq? $0 0) empty (cons (+ $0 1) ($1 (- $0 1))))))")
print(
g.logLikelihood(
arrow(
arrow(
tint, tlist(tint)), arrow(
tint, tlist(tint))), p))
print(_fix(9)(p.evaluate([])))
print("countdown w/ better primitives")
p = Program.parse(
"(lambda (lambda (if (eq0 $0) empty (cons (+1 $0) ($1 (-1 $0))))))")
print(
g.logLikelihood(
arrow(
arrow(
tint, tlist(tint)), arrow(
tint, tlist(tint))), p))
print()
print("prepend zeros")
p = Program.parse(
"(lambda (lambda (lambda (if (eq? $1 0) $0 (cons 0 ($2 (- $1 1) $0))))))")
print(
g.logLikelihood(
arrow(
arrow(
tint,
tlist(tint),
tlist(tint)),
tint,
tlist(tint),
tlist(tint)),
p))
print()
assert False
p = Program.parse(
"(lambda (fix1 $0 (lambda (lambda (if (empty? $0) 0 (+ 1 ($1 (cdr $0))))))))")
print(p.evaluate([])(list(range(17))))
print(g.logLikelihood(arrow(tlist(tbool), tint), p))
p = Program.parse(
"(lambda (lambda (if (empty? $0) 0 (+ 1 ($1 (cdr $0))))))")
print(
g.logLikelihood(
arrow(
arrow(
tlist(tbool), tint), arrow(
tlist(tbool), tint)), p))
p = Program.parse(
"(lambda (fix1 $0 (lambda (lambda (if (empty? $0) 0 (+ (car $0) ($1 (cdr $0))))))))")
print(p.evaluate([])(list(range(4))))
print(g.logLikelihood(arrow(tlist(tint), tint), p))
p = Program.parse(
"(lambda (lambda (if (empty? $0) 0 (+ (car $0) ($1 (cdr $0))))))")
print(p)
print(
g.logLikelihood(
arrow(
arrow(
tlist(tint),
tint),
tlist(tint),
tint),
p))
print("take")
p = Program.parse(
"(lambda (lambda (lambda (if (eq? $1 0) empty (cons (car $0) ($2 (- $1 1) (cdr $0)))))))")
print(p)
print(
g.logLikelihood(
arrow(
arrow(
tint,
tlist(tint),
tlist(tint)),
tint,
tlist(tint),
tlist(tint)),
p))
assert False
print(p.evaluate([])(list(range(4))))
print(g.logLikelihood(arrow(tlist(tint), tlist(tint)), p))
p = Program.parse(
"""(lambda (fix (lambda (lambda (match $0 0 (lambda (lambda (+ $1 ($3 $0))))))) $0))""")
print(p.evaluate([])(list(range(4))))
print(g.logLikelihood(arrow(tlist(tint), tint), p))