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Initial release: 3,577 construct/optimize math RL tasks with deterministic graders
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"""Difference bases: minimize |B|^2 / v (EinsteinArena difference-bases, MIT).
v = largest integer such that 1..v are all differences of elements of B (0 is added to B if missing).
Ported from the upstream verifier. Changes: elements must be JSON integers in [0, inst["max_value"]]
(upstream cast with int(), so floats/strings were silently truncated) and distinct (upstream deduplicated);
at most inst["max_size"] elements after adding 0."""
import numpy as np
from run import Invalid, int_list
def check(inst, ans):
s = ans.get("set")
if not isinstance(s, list) or not 1 <= len(s) <= inst["max_size"]:
raise Invalid(f"set must be a list of 1..{inst['max_size']} integers")
int_list(s, None, 0, inst["max_value"], "set")
if len(set(s)) != len(s):
raise Invalid("elements must be distinct")
B = sorted(set(s) | {0})
if len(B) > inst["max_size"]:
raise Invalid(f"at most {inst['max_size']} elements including 0")
a = np.array(B, dtype=np.int64)
d = (a[None, :] - a[:, None])[np.triu_indices(len(a), 1)]
present = np.zeros(int(a[-1]) + 2, dtype=bool)
present[d] = True
present[0] = True
v = int(np.argmin(present)) - 1 # first missing positive difference minus one
if v < 1:
raise Invalid("1 is not a difference of the set")
return len(B) ** 2 / v, {"size": len(B), "v": v}