Datasets:
File size: 5,706 Bytes
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import argparse
import hashlib
import json
import math
from collections import Counter
from pathlib import Path
DT = 0.1
G = 9.81
FAMILIES = {
"gravity_fall",
"projectile_motion",
"elastic_collision_1d",
"inelastic_collision_1d",
"friction_slide",
"bounce",
"constant_velocity_occlusion",
"support_removal",
"containment",
"momentum_transfer",
}
def canon(x):
return json.dumps(x, sort_keys=True, separators=(",", ":"), ensure_ascii=False)
def sha(x):
return hashlib.sha256(canon(x).encode()).hexdigest()
def close(a,b,tol=2e-5):
return abs(float(a)-float(b)) <= tol
def truth(row):
s = row["state_t0"]
a = row["action"]
fam = row["family"]
if fam == "gravity_fall":
y = max(0.0, s["y"] + s["vy"]*DT - .5*G*DT*DT)
vy = 0.0 if y == 0 else s["vy"]-G*DT
return {"y":y,"vy":vy}
if fam == "projectile_motion":
y = max(0.0, s["y"] + s["vy"]*DT - .5*G*DT*DT)
return {
"x":s["x"]+s["vx"]*DT,
"y":y,
"vx":s["vx"],
"vy":0.0 if y == 0 else s["vy"]-G*DT
}
if fam == "elastic_collision_1d":
m1,m2,u1,u2 = s["m1"],s["m2"],s["u1"],s["u2"]
return {
"v1":((m1-m2)/(m1+m2))*u1 + ((2*m2)/(m1+m2))*u2,
"v2":((2*m1)/(m1+m2))*u1 + ((m2-m1)/(m1+m2))*u2
}
if fam == "inelastic_collision_1d":
m1,m2,u1,u2 = s["m1"],s["m2"],s["u1"],s["u2"]
v=(m1*u1+m2*u2)/(m1+m2)
return {"v1":v,"v2":v}
if fam == "friction_slide":
v=s["velocity"]
decel=s["mu"]*G*DT
nv=0.0 if abs(v)<=decel else math.copysign(abs(v)-decel,v)
return {"velocity":nv}
if fam == "bounce":
return {
"y":0.0,
"vy":-s["vy"]*s["restitution"]
}
if fam == "constant_velocity_occlusion":
return {
"x":s["x"]+s["vx"]*s["frames_hidden"]*DT,
"vx":s["vx"],
"visible":False
}
if fam == "support_removal":
return {
"y":max(0.0,s["y"]-.5*G*DT*DT),
"vy":-G*DT
}
if fam == "containment":
nx=s["x"]+a["dx"]
ny=s["y"]+a["dy"]
cx=s["container_x"]
cy=s["container_y"]
radius=s["radius"]
d=math.hypot(nx-cx,ny-cy)
if d>radius:
scale=radius/d
nx=cx+(nx-cx)*scale
ny=cy+(ny-cy)*scale
return {"x":nx,"y":ny,"contained":True}
if fam == "momentum_transfer":
m1,m2=s["m1"],s["m2"]
u1,u2=s["u1"],s["u2"]
e=s["restitution"]
return {
"v1":(m1*u1+m2*u2-m2*e*(u1-u2))/(m1+m2),
"v2":(m1*u1+m2*u2+m1*e*(u1-u2))/(m1+m2)
}
raise ValueError(fam)
def compare(calc, stored):
if set(calc) != set(stored):
return False
for k,v in calc.items():
sv=stored[k]
if isinstance(v,bool):
if v is not sv:
return False
elif not close(v,sv):
return False
return True
def validate(path):
ids=set()
fps=set()
families=Counter()
splits=Counter()
count=0
with path.open("r",encoding="utf-8") as f:
for line in f:
if not line.strip():
continue
r=json.loads(line)
count += 1
if r["family"] not in FAMILIES:
raise ValueError("unknown family")
if r["id"] in ids:
raise ValueError("duplicate id")
if r["fingerprint_sha256"] in fps:
raise ValueError("duplicate fingerprint")
ids.add(r["id"])
fps.add(r["fingerprint_sha256"])
body={
k:v for k,v in r.items()
if k not in {"id","fingerprint_sha256"}
}
if sha(body)[:32] != r["id"]:
raise ValueError(f"id mismatch {r['id']}")
with_id=dict(body)
with_id["id"]=r["id"]
if sha(with_id) != r["fingerprint_sha256"]:
raise ValueError(f"fingerprint mismatch {r['id']}")
calc=truth(r)
if not compare(calc,r["expected_state_t1"]):
raise ValueError(f"oracle mismatch {r['id']}")
changed=[
k for k in r["expected_state_t1"]
if r["expected_state_t1"][k] != r["counterfactual_state_t1"][k]
]
if changed != [r["counterfactual_changed_field"]]:
raise ValueError(f"counterfactual mismatch {r['id']}")
if compare(calc,r["counterfactual_state_t1"]):
raise ValueError(f"counterfactual accidentally valid {r['id']}")
p=r["provenance"]
if not p["synthetic"] or p["copied_records"] != 0 or p["contains_pii"]:
raise ValueError("provenance")
if p["llm_generated_ground_truth"]:
raise ValueError("ground truth provenance")
families[r["family"]] += 1
splits[r["split"]] += 1
return {
"status":"PASS",
"validated":count,
"unique_ids":len(ids),
"unique_fingerprints":len(fps),
"families":dict(families),
"splits":dict(splits)
}
def main():
ap=argparse.ArgumentParser()
ap.add_argument("dataset",type=Path)
ap.add_argument("--report",type=Path)
a=ap.parse_args()
report=validate(a.dataset)
if a.report:
a.report.write_text(
json.dumps(report,indent=2),
encoding="utf-8"
)
print(json.dumps(report))
if __name__=="__main__":
main()
|