SyncValsverifier → artifact → classifier → verdict
SyncVals · Trajectory

deepcad-canonical-equivalence

claude-code claude-opus-4-8 0.44 partial GOOD_FAILURE ↑ View task
Solved from the instruction alone, tests/ and solution/ were withheld from the agent's workspace and restored only for grading.
Reward = tests/test.sh exit code (0 → resolved); the classification below is post-hoc and cannot change it.
Classification , post-hoc; cannot change the reward
GOOD_FAILUREHonest miss, the agent ran correctly but couldn't solve it. Expected for a hard task; the task is sound.
SubtypeWrong Approach
EvidenceOffline static classifier runner used; no model call was made.
Root causeLocal verifier result was used only to choose a safe default classification.
RecommendationN/A
Trajectory
Tool-by-tool agent trajectory
6 tool calls · 2 tool types · 12 steps
DeepCAD Canonical Equivalence You are given pairs of compact CAD command programs inspired by DeepCAD command histories. For each pair, decide whether both programs describe the same canonical solid. Labels and command order are not reliable evidence by themselves. Interpret the commands, normalize only the aliases described below, and compare the resulting solid. What You Must Produce Implement `/workspace/solve.py`. Your script must support this command: ```bash python3 /workspace/solve.py <input_json> /workspace/predictions.json ``` Write `/workspace/predictions.json` with this schema: ```json { "predictions": [ {"pair_id": "P000", "equivalent": true} ] } ``` Rules for the artifact: - Include exactly one prediction for every input `pair_id`. - `equivalent` must be a JSON boolean, not a string. - You may include optional `signature_a` and `signature_b` fields for your own audit trail, but the required decision field is `equivalent`. - Do not call external APIs or download data. The visible file `/workspace/data/public_pairs.json` is only an unlabeled format example. Evaluation labels are not present in `/workspace`. Program Semantics Each input JSON has a `pairs` array. Each pair contains `pair_id`, `program_a`, and `program_b`. Programs are lists of command dictionaries. - `param` defines scalar arithmetic expressions using numeric constants, other parameters, parentheses, and `+`, `-`, `*`, `/`. Parameters may refer to other parameters by name. Compare evaluated numeric values, not parameter names. Use absolute tolerance `1e-6`. - `sketch` gives a plane for profile geometry. Plane names are case-insensitive literal tokens; do not reorder axes, so `XZ` and `ZX` are different planes. - `rect`, `circle`, and `slot` define profiles. Preserve their geometric fields and plane. Rectangle width/height are ordered dimensions. A slot angle is modulo 180 degrees. Profiles that are not consumed by an `extrude` do not affect the solid. - `extrude` creates solid features from one or more profiles. Preserve operation, depth, extent, direction, profile geometry, and body/channel partitioning. Profile list order inside one extrude is not semantic. If omitted, `operation` defaults to `new`, `extent` defaults to `one_side`, and `direction` defaults to `normal`. - Supported extrude enum fields are lowercased literal tokens. Do not invent synonym aliases: for example, `add`, `join`, and `new` are distinct operations, and `blind` and `one_side` are distinct extents unless the exact token matches after lowercasing. - Depth sign and direction are preserved separately. Do not fold negative depth into direction, do not treat opposite directions as equivalent, and do not simplify symmetric-looking extents beyond comparing the literal normalized fields. - Command IDs, parameter names, sketch IDs, profile IDs, feature IDs, and body/channel labels are alpha-renamable labels for supported commands. - Body/channel fields only induce partition topology. Preserve which extrudes share a partition and which do not; do not preserve the literal spelling of labels, and do not treat `body` and `channel` as semantic namespaces. For example, two features grouped together by one shared body label are equivalent to two features grouped together by one shared channel label. Features with no body/channel field share one unlabeled default partition with each other; an explicit label does not alias that unlabeled partition. - Supported extrude features are compared as an unordered feature multiset after canonicalizing their fields and body/channel partitions. Command order of supported extrudes is not semantic in this benchmark. - Commands marked `construction: true` do not affect the solid. The metadata/annotation command kinds `constraint`, `dimension`, `note`, `metadata`, `view`, and `comment` do not affect the solid. - Any other non-construction command is an opaque solid-affecting payload. Compare opaque payload commands as an unordered multiset. For each opaque command, strip only its own top-level `id`, then compare the remaining JSON payload literally. Do not alpha-rename, evaluate expressions, apply numeric tolerance, sort lists, or resolve references inside opaque payload fields. Other fields on opaque commands, including `target`, `feature`, `edges`, and numeric-looking strings, are literal payload values rather than supported-command aliases. Quality Expectations Missing, malformed, duplicate, or unreadable predictions fail. Pair IDs are only row identifiers.
I'll start by looking at the example data to understand the format.

Read public pairs example

shell
cat /workspace/data/public_pairs.json
output
{
  "schema_version": "1.0",
  "description": "Unlabeled public format examples for the DeepCAD canonical-equivalence task.",
  "pairs": [
    {
      "pair_id": "P001",
      "program_a": [
        {"cmd": "param", "name": "w", "expr": "40"},
        {"cmd": "param", "name": "h", "expr": "20"},
        {"cmd": "param", "name": "d", "expr": "8"},
        {"cmd": "sketch", "id": "s0", "plane": "XY"},
        {"cmd": "rect", "id": "base", "sketch": "s0", "center": [0, 0], "size": ["w", "h"]},
        {"cmd": "line", "id": "guide", "sketch": "s0", "p1": [0, -10], "p2": [0, 10], "construction": true},
        {"cmd": "extrude", "id": "pad", "profile": "base", "operation": "new", "depth": "d", "extent": "one_side"}
      ],
      "program_b": [
        {"cmd": "param", "name": "depth", "expr": "4 + 4"},
        {"cmd": "param", "name": "height", "expr": "5 * 4"},
        {"cmd": "param", "name": "width", "expr": "20 * 2"},
        {"cmd": "sketch", "id": "profile_sketch", "plane": "XY"},
        {"cmd": "rect", "id": "outer", "sketch": "profile_sketch", "center": [0, 0], "size": ["width", "height"]},
        {"cmd": "extrude", "id": "solid", "profile": "outer", "operation": "new", "depth": "depth", "extent": "one_side"}
      ]
    },
    {
      "pair_id": "P002",
      "program_a": [
        {"cmd": "param", "name": "r", "expr": "4"},
        {"cmd": "sketch", "id": "s", "plane": "XY"},
        {"cmd": "circle", "id": "hole", "sketch": "s", "center": [8, 0], "radius": "r"},
        {"cmd": "extrude", "id": "cut", "profile": "hole", "operation": "cut", "depth": 10, "extent": "one_side"}
      ],
      "program_b": [
        {"cmd": "param", "name": "r2", "expr": "4.25"},
        {"cmd": "sketch", "id": "renamed", "plane": "XY"},
        {"cmd": "circle", "id": "hole2", "sketch": "renamed", "center": [8, 0], "radius": "r2"},
        {"cmd": "extrude", "id": "cut2", "profile": "hole2", "operation": "cut", "depth": 10, "extent": "one_side"}
      ]
    },
    {
      "pair_id": "P003",
      "program_a": [
        {"cmd": "sketch", "id": "s", "plane": "XY"},
        {"cmd": "rect", "id": "rib_a", "sketch": "s", "center": [-6, 0], "size": [2, 12]},
        {"cmd": "rect", "id": "rib_b", "sketch": "s", "center": [6, 0], "size": [2, 12]},
        {"cmd": "extrude", "id": "ribs", "profiles": ["rib_a", "rib_b"], "operation": "add", "depth": 5, "extent": "one_side"}
      ],
      "program_b": [
        {"cmd": "sketch", "id": "renamed", "plane": "XY"},
        {"cmd": "rect", "id": "right", "sketch": "renamed", "center": [6, 0], "size": [2, 12]},
        {"cmd": "rect", "id": "left", "sketch": "renamed", "center": [-6, 0], "size": [2, 12]},
        {"cmd": "extrude", "id": "ribs2", "profiles": ["right", "left"], "operation": "add", "depth": 5, "extent": "one_side"}
      ]
    }
  ]
}

[stdout]
{
  "schema_version": "1.0",
  "description": "Unlabeled public format examples for the DeepCAD canonical-equivalence task.",
  "pairs": [
    {
      "pair_id": "P001",
      "program_a": [
        {"cmd": "param", "name": "w", "expr": "40"},
        {"cmd": "param", "name": "h", "expr": "20"},
        {"cmd": "param", "name": "d", "expr": "8"},
        {"cmd": "sketch", "id": "s0", "plane": "XY"},
        {"cmd": "rect", "id": "base", "sketch": "s0", "center": [0, 0], "size": ["w", "h"]},
        {"cmd": "line", "id": "guide", "sketch": "s0", "p1": [0, -10], "p2": [0, 10], "construction": true},
        {"cmd": "extrude", "id": "pad", "profile": "base", "operation": "new", "depth": "d", "extent": "one_side"}
      ],
      "program_b": [
        {"cmd": "param", "name": "depth", "expr": "4 + 4"},
        {"cmd": "param", "name": "height", "expr": "5 * 4"},
        {"cmd": "param", "name": "width", "expr": "20 * 2"},
        {"cmd": "sketch", "id": "profile_sketch", "plane": "XY"},
        {"cmd": "rect", "id": "outer", "sketch": "profile_sketch", "center": [0, 0], "size": ["width", "height"]},
        {"cmd": "extrude", "id": "solid", "profile": "outer", "operation": "new", "depth": "depth", "extent": "one_side"}
      ]
    },
    {
      "pair_id": "P002",
      "program_a": [
        {"cmd": "param", "name": "r", "expr": "4"},
        {"cmd": "sketch", "id": "s", "plane": "XY"},
        {"cmd": "circle", "id": "hole", "sketch": "s", "center": [8, 0], "radius": "r"},
        {"cmd": "extrude", "id": "cut", "profile": "hole", "operation": "cut", "depth": 10, "extent": "one_side"}
      ],
      "program_b": [
        {"cmd": "param", "name": "r2", "expr": "4.25"},
        {"cmd": "sketch", "id": "renamed", "plane": "XY"},
        {"cmd": "circle", "id": "hole2", "sketch": "renamed", "center": [8, 0], "radius": "r2"},
        {"cmd": "extrude", "id": "cut2", "profile": "hole2", "operation": "cut", "depth": 10, "extent": "one_side"}
      ]
    },
    {
      "pair_id": "P003",
      "program_a": [
        {"cmd": "sketch", "id": "s", "plane": "XY"},
        {"cmd": "rect", "id": "rib_a", "sketch": "s", "center": [-6, 0], "size": [2, 12]},
        {"cmd": "rect", "id": "rib_b", "sketch": "s", "center": [6, 0], "size": [2, 12]},
        {"cmd": "extrude", "id": "ribs", "profiles": ["rib_a", "rib_b"], "operation": "add", "depth": 5, "extent": "one_side"}
      ],
      "program_b": [
        {"cmd": "sketch", "id": "renamed", "plane": "XY"},
        {"cmd": "rect", "id": "right", "sketch": "renamed", "center": [6, 0], "size": [2, 12]},
        {"cmd": "rect", "id": "left", "sketch": "renamed", "center": [-6, 0], "size": [2, 12]},
        {"cmd": "extrude", "id": "ribs2", "profiles": ["right", "left"], "operation": "add", "depth": 5, "extent": "one_side"}
      ]
    }
  ]
}
Now I understand the task. Let me look at the input format more and then check what's in the workspace.

List workspace and check python

shell
ls -la /workspace/ /workspace/data/ 2>/dev/null; echo "---python---"; python3 --version
output
/workspace/:
total 24
drwxr-xr-x 1 root root 4096 Jul  6 02:01 .
drwxr-xr-x 1 root root 4096 Jul  6 02:01 ..
-rw-r--r-- 1 root root  299 Jul  4 05:02 README.md
drwxr-xr-x 2 root root 4096 Jul  4 05:02 data
drwxr-xr-x 2 root root 4096 Jul  6 02:01 output
-rwxr-xr-x 1 root root 1011 Jul  4 05:02 solve.py

/workspace/data/:
total 12
drwxr-xr-x 2 root root 4096 Jul  4 05:02 .
drwxr-xr-x 1 root root 4096 Jul  6 02:01 ..
-rw-r--r-- 1 root root 2824 Jul  4 05:02 public_pairs.json
---python---
Python 3.11.15

[stdout]
/workspace/:
total 24
drwxr-xr-x 1 root root 4096 Jul  6 02:01 .
drwxr-xr-x 1 root root 4096 Jul  6 02:01 ..
-rw-r--r-- 1 root root  299 Jul  4 05:02 README.md
drwxr-xr-x 2 root root 4096 Jul  4 05:02 data
drwxr-xr-x 2 root root 4096 Jul  6 02:01 output
-rwxr-xr-x 1 root root 1011 Jul  4 05:02 solve.py

/workspace/data/:
total 12
drwxr-xr-x 2 root root 4096 Jul  4 05:02 .
drwxr-xr-x 1 root root 4096 Jul  6 02:01 ..
-rw-r--r-- 1 root root 2824 Jul  4 05:02 public_pairs.json
---python---
Python 3.11.15

Read existing solve.py and README

shell
cat /workspace/solve.py; echo "---README---"; cat /workspace/README.md
output
#!/usr/bin/env python3
"""Weak starter baseline for DeepCAD canonical-equivalence.

This intentionally predicts every pair as non-equivalent. It is useful only as
a schema example and should score reward 0.0 on the hidden verifier.
"""

from __future__ import annotations

import json
import sys
from pathlib import Path


def main() -> int:
    input_path = Path(sys.argv[1]) if len(sys.argv) > 1 else Path("/workspace/data/public_pairs.json")
    output_path = Path(sys.argv[2]) if len(sys.argv) > 2 else Path("/workspace/predictions.json")

    payload = json.loads(input_path.read_text(encoding="utf-8"))
    predictions = [
        {"pair_id": pair["pair_id"], "equivalent": False}
        for pair in payload.get("pairs", [])
    ]

    output_path.parent.mkdir(parents=True, exist_ok=True)
    output_path.write_text(
        json.dumps({"predictions": predictions}, indent=2, sort_keys=True) + "\n",
        encoding="utf-8",
    )
    return 0


if __name__ == "__main__":
    raise SystemExit(main())
---README---
# DeepCAD Canonical Equivalence Starter

`solve.py` is an intentionally weak starter baseline. It reads an input JSON with program pairs and writes a prediction for each pair.

The public file `data/public_pairs.json` is unlabeled and only shows the command schema. Hidden labels are verifier-only.

[stdout]
#!/usr/bin/env python3
"""Weak starter baseline for DeepCAD canonical-equivalence.

This intentionally predicts every pair as non-equivalent. It is useful only as
a schema example and should score reward 0.0 on the hidden verifier.
"""

from __future__ import annotations

import json
import sys
from pathlib import Path


def main() -> int:
    input_path = Path(sys.argv[1]) if len(sys.argv) > 1 else Path("/workspace/data/public_pairs.json")
    output_path = Path(sys.argv[2]) if len(sys.argv) > 2 else Path("/workspace/predictions.json")

    payload = json.loads(input_path.read_text(encoding="utf-8"))
    predictions = [
        {"pair_id": pair["pair_id"], "equivalent": False}
        for pair in payload.get("pairs", [])
    ]

    output_path.parent.mkdir(parents=True, exist_ok=True)
    output_path.write_text(
        json.dumps({"predictions": predictions}, indent=2, sort_keys=True) + "\n",
        encoding="utf-8",
    )
    return 0


if __name__ == "__main__":
    raise SystemExit(main())
---README---
# DeepCAD Canonical Equivalence Starter

`solve.py` is an intentionally weak starter baseline. It reads an input JSON with program pairs and writes a prediction for each pair.

The public file `data/public_pairs.json` is unlabeled and only shows the command schema. Hidden labels are verifier-only.
Now I'll write the full solution.
write · /workspace/solve.py
#!/usr/bin/env python3
"""DeepCAD canonical-equivalence solver.

Reads an input JSON with program pairs and decides, for each pair, whether both
programs describe the same canonical solid. See task spec for semantics.

Usage:
    python3 solve.py <input_json> <output_json>
"""

from __future__ import annotations

import ast
import json
import sys
from pathlib import Path


# ---------------------------------------------------------------------------
# Command classification
# ---------------------------------------------------------------------------

SUPPORTED_KINDS = {"param", "sketch", "rect", "circle", "slot", "extrude"}
PROFILE_KINDS = {"rect", "circle", "slot"}
METADATA_KINDS = {"constraint", "dimension", "note", "metadata", "view", "comment"}

TOL_DECIMALS = 6


def R(v):
    """Round a numeric value to the comparison tolerance, normalising -0.0."""
    r = round(float(v) + 0.0, TOL_DECIMALS)
    if r == 0:
        return 0.0
    return r


# ---------------------------------------------------------------------------
# Expression evaluation
# ---------------------------------------------------------------------------


class ExprError(Exception):
    pass


def _eval_ast(node, env, cache, resolving):
    if isinstance(node, ast.Expression):
        return _eval_ast(node.body, env, cache, resolving)
    if isinstance(node, ast.Constant):
        if isinstance(node.value, bool) or not isinstance(node.value, (int, float)):
            raise ExprError(f"non-numeric constant {node.value!r}")
        return float(node.value)
    # Python <3.8 compatibility not needed, but keep Num just in case.
    if isinstance(node, ast.Num):  # pragma: no cover
        return float(node.n)
    if isinstance(node, ast.Name):
        return _resolve_param(node.id, env, cache, resolving)
    if isinstance(node, ast.BinOp):
        left = _eval_ast(node.left, env, cache, resolving)
        right = _eval_ast(node.right, env, cache, resolving)
        if isinstance(node.op, ast.Add):
            return left + right
        if isinstance(node.op, ast.Sub):
            return left - right
        if isinstance(node.op, ast.Mult):
            return left * right
        if isinstance(node.op, ast.Div):
            return left / right
        raise ExprError(f"unsupported operator {node.op!r}")
    if isinstance(node, ast.UnaryOp):
        operand = _eval_ast(node.operand, env, cache, resolving)
        if isinstance(node.op, ast.UAdd):
            return +operand
        if isinstance(node.op, ast.USub):
            return -operand
        raise ExprError(f"unsupported unary op {node.op!r}")
    if isinstance(node, ast.Paren):  # pragma: no cover
        return _eval_ast(node.value, env, cache, resolving)
    raise ExprError(f"unsupported expression node {type(node).__name__}")


def _resolve_param(name, env, cache, resolving):
    if name in cache:
        return cache[name]
    if name not in env:
        raise ExprError(f"unknown parameter {name!r}")
    if name in resolving:
        raise ExprError(f"cyclic parameter {name!r}")
    resolving.add(name)
    try:
        value = _eval_scalar(env[name], env, cache, resolving)
    finally:
        resolving.discard(name)
    cache[name] = value
    return value


def _eval_scalar(raw, env, cache, resolving):
    if isinstance(raw, bool):
        raise ExprError("boolean is not a scalar")
    if isinstance(raw, (int, float)):
        return float(raw)
    if isinstance(raw, str):
        tree = ast.parse(raw, mode="eval")
        return _eval_ast(tree, env, cache, resolving)
    raise ExprError(f"cannot evaluate scalar {raw!r}")


def eval_value(val, env, cache):
    """Evaluate a value which may be a scalar expression or a list of them."""
    if isinstance(val, list):
        return [eval_value(v, env, cache) for v in val]
    try:
        return R(_eval_scalar(val, env, cache, set()))
    except ExprError:
        # Not evaluable as a number -> keep as-is (literal token).
        return val


# ---------------------------------------------------------------------------
# Program -> canonical signature
# ---------------------------------------------------------------------------


def canon_str(obj):
    return json.dumps(obj, sort_keys=True, separators=(",", ":"))


def build_signature(program):
    env = {}
    for cmd in program:
        if cmd.get("cmd") == "param":
            name = cmd.get("name")
            if name is not None:
                env[name] = cmd.get("expr")
    cache = {}

    # Sketch plane table (case-insensitive token, axis order preserved).
    planes = {}
    for cmd in program:
        if cmd.get("cmd") == "sketch":
            sid = cmd.get("id")
            plane = cmd.get("plane")
            if isinstance(plane, str):
                plane = plane.upper()
            planes[sid] = plane

    # Profile table (skip construction geometry).
    profiles = {}
    for cmd in program:
        kind = cmd.get("cmd")
        if kind in PROFILE_KINDS and not cmd.get("construction", False):
            profiles[cmd.get("id")] = _canon_profile(cmd, planes, env, cache)

    # Extrude features and opaque payload commands.
    features = []  # list of (feature_struct, partition_label)
    opaque = []
    for cmd in program:
        if cmd.get("construction", False):
            continue
        kind = cmd.get("cmd")
        if kind == "extrude":
            features.append(_canon_extrude(cmd, profiles, env, cache))
        elif kind in SUPPORTED_KINDS or kind in METADATA_KINDS:
            continue
        else:
            payload = {k: v for k, v in cmd.items() if k != "id"}
            opaque.append(canon_str(payload))

    # Group features into partitions (label-independent structure).
    groups = {}
    for feat_struct, label in features:
        groups.setdefault(label, []).append(feat_struct)

    group_structs = []
    for label, feats in groups.items():
        feats_sorted = sorted(feats, key=canon_str)
        group_structs.append(feats_sorted)
    group_structs.sort(key=canon_str)

    opaque.sort()

    signature = {"features": group_structs, "opaque": opaque}
    return canon_str(signature)


def _canon_profile(cmd, planes, env, cache):
    kind = str(cmd.get("cmd")).lower()
    plane = planes.get(cmd.get("sketch"))
    geom = {"_kind": kind, "_plane": plane}
    for key, val in cmd.items():
        if key in ("cmd", "id", "sketch", "construction"):
            continue
        ev = eval_value(val, env, cache)
        if key.lower() == "angle" and isinstance(ev, (int, float)):
            ev = R(float(ev) % 180.0)
        geom[key] = ev
    return geom


def _canon_direction(val, env, cache):
    if isinstance(val, str):
        return val.lower()
    if isinstance(val, list):
        return eval_value(val, env, cache)
    return val


def _canon_extrude(cmd, profiles, env, cache):
    operation = str(cmd.get("operation", "new")).lower()
    extent = str(cmd.get("extent", "one_side")).lower()
    direction = _canon_direction(cmd.get("direction", "normal"), env, cache)
    depth = eval_value(cmd.get("depth", 0), env, cache)

    # Resolve profile references (order not semantic).
    ref = []
    if "profiles" in cmd and isinstance(cmd["profiles"], list):
        ref.extend(cmd["profiles"])
    if "profile" in cmd:
        p = cmd["profile"]
        if isinstance(p, list):
            ref.extend(p)
        else:
            ref.append(p)

    geoms = []
    for pid in ref:
        if pid in profiles:
            geoms.append(profiles[pid])
        else:
            geoms.append({"_kind": "unknown_profile", "_ref": pid})
    geoms_sorted = sorted(geoms, key=canon_str)

    feat = {
        "operation": operation,
        "extent": extent,
        "direction": direction,
        "depth": depth,
        "profiles": geoms_sorted,
    }

    # Partition label: body or channel value; None => unlabeled default group.
    if "body" in cmd:
        label = ("L", cmd["body"])
    elif "channel" in cmd:
        label = ("L", cmd["channel"])
    else:
        label = ("DEFAULT",)
    return feat, label


# ---------------------------------------------------------------------------
# Main
# ---------------------------------------------------------------------------


def main() -> int:
    input_path = Path(sys.argv[1]) if len(sys.argv) > 1 else Path("/workspace/data/public_pairs.json")
    output_path = Path(sys.argv[2]) if len(sys.argv) > 2 else Path("/workspace/predictions.json")

    payload = json.loads(input_path.read_text(encoding="utf-8"))

    predictions = []
    for pair in payload.get("pairs", []):
        pid = pair.get("pair_id")
        try:
            sig_a = build_signature(pair.get("program_a", []))
            sig_b = build_signature(pair.get("program_b", []))
            equivalent = sig_a == sig_b
        except Exception:
            sig_a = sig_b = None
            equivalent = False
        predictions.append(
            {
                "pair_id": pid,
                "equivalent": bool(equivalent),
                "signature_a": sig_a,
                "signature_b": sig_b,
            }
        )

    output_path.parent.mkdir(parents=True, exist_ok=True)
    output_path.write_text(
        json.dumps({"predictions": predictions}, indent=2) + "\n",
        encoding="utf-8",
    )
    return 0


if __name__ == "__main__":
    raise SystemExit(main())

Run solver on public pairs

shell
python3 solve.py data/public_pairs.json /workspace/predictions.json && python3 -c "
import json
d=json.load(open('predictions.json'))
for p in d['predictions']:
    print(p['pair_id'], p['equivalent'])
"
output
P001 True
P002 False
P003 True

[stdout]
P001 True
P002 False
P003 True
Results match expectations (P001 true, P002 false radius differs, P003 true swapped ribs). Let me test edge cases.

Run edge case tests

shell
cat > /tmp/edge.json <<'EOF'
{"pairs":[
 {"pair_id":"E1_plane_order","program_a":[
   {"cmd":"sketch","id":"s","plane":"XZ"},
   {"cmd":"rect","id":"r","sketch":"s","center":[0,0],"size":[4,4]},
   {"cmd":"extrude","id":"e","profile":"r","depth":2}],
  "program_b":[
   {"cmd":"sketch","id":"s","plane":"ZX"},
   {"cmd":"rect","id":"r","sketch":"s","center":[0,0],"size":[4,4]},
   {"cmd":"extrude","id":"e","profile":"r","depth":2}]},

 {"pair_id":"E2_default_op","program_a":[
   {"cmd":"sketch","id":"s","plane":"XY"},
   {"cmd":"rect","id":"r","sketch":"s","center":[0,0],"size":[4,4]},
   {"cmd":"extrude","id":"e","profile":"r","depth":2}],
  "program_b":[
   {"cmd":"sketch","id":"s","plane":"XY"},
   {"cmd":"rect","id":"r","sketch":"s","center":[0,0],"size":[4,4]},
   {"cmd":"extrude","id":"e","profile":"r","depth":2,"operation":"new","extent":"one_side","direction":"normal"}]},

 {"pair_id":"E3_neg_depth_vs_dir","program_a":[
   {"cmd":"sketch","id":"s","plane":"XY"},{"cmd":"rect","id":"r","sketch":"s","center":[0,0],"size":[4,4]},
   {"cmd":"extrude","id":"e","profile":"r","depth":-2}],
  "program_b":[
   {"cmd":"sketch","id":"s","plane":"XY"},{"cmd":"rect","id":"r","sketch":"s","center":[0,0],"size":[4,4]},
   {"cmd":"extrude","id":"e","profile":"r","depth":2,"direction":"reverse"}]},

 {"pair_id":"E4_slot_angle_mod180","program_a":[
   {"cmd":"sketch","id":"s","plane":"XY"},
   {"cmd":"slot","id":"sl","sketch":"s","center":[0,0],"length":10,"width":2,"angle":30},
   {"cmd":"extrude","id":"e","profile":"sl","depth":2}],
  "program_b":[
   {"cmd":"sketch","id":"s","plane":"XY"},
   {"cmd":"slot","id":"sl","sketch":"s","center":[0,0],"length":10,"width":2,"angle":210},
   {"cmd":"extrude","id":"e","profile":"sl","depth":2}]},

 {"pair_id":"E5_partition_diff","program_a":[
   {"cmd":"sketch","id":"s","plane":"XY"},{"cmd":"rect","id":"r","sketch":"s","center":[0,0],"size":[4,4]},
   {"cmd":"rect","id":"r2","sketch":"s","center":[9,0],"size":[4,4]},
   {"cmd":"extrude","id":"e1","profile":"r","depth":2,"body":"g"},
   {"cmd":"extrude","id":"e2","profile":"r2","depth":2,"body":"g"}],
  "program_b":[
   {"cmd":"sketch","id":"s","plane":"XY"},{"cmd":"rect","id":"r","sketch":"s","center":[0,0],"size":[4,4]},
   {"cmd":"rect","id":"r2","sketch":"s","center":[9,0],"size":[4,4]},
   {"cmd":"extrude","id":"e1","profile":"r","depth":2,"body":"a"},
   {"cmd":"extrude","id":"e2","profile":"r2","depth":2,"body":"b"}]},

 {"pair_id":"E6_body_channel_same","program_a":[
   {"cmd":"sketch","id":"s","plane":"XY"},{"cmd":"rect","id":"r","sketch":"s","center":[0,0],"size":[4,4]},
   {"cmd":"rect","id":"r2","sketch":"s","center":[9,0],"size":[4,4]},
   {"cmd":"extrude","id":"e1","profile":"r","depth":2,"body":"g"},
   {"cmd":"extrude","id":"e2","profile":"r2","depth":2,"body":"g"}],
  "program_b":[
   {"cmd":"sketch","id":"s","plane":"XY"},{"cmd":"rect","id":"r","sketch":"s","center":[0,0],"size":[4,4]},
   {"cmd":"rect","id":"r2","sketch":"s","center":[9,0],"size":[4,4]},
   {"cmd":"extrude","id":"e1","profile":"r","depth":2,"channel":"z"},
   {"cmd":"extrude","id":"e2","profile":"r2","depth":2,"channel":"z"}]},

 {"pair_id":"E7_opaque_literal","program_a":[
   {"cmd":"fillet","id":"f1","edges":["e1","e2"],"radius":"2"}],
  "program_b":[
   {"cmd":"fillet","id":"fX","edges":["e1","e2"],"radius":"2"}]},

 {"pair_id":"E8_opaque_diff","program_a":[
   {"cmd":"fillet","id":"f1","edges":["e1","e2"],"radius":"2"}],
  "program_b":[
   {"cmd":"fillet","id":"f1","edges":["e1","e2"],"radius":"3"}]},

 {"pair_id":"E9_add_vs_join","program_a":[
   {"cmd":"sketch","id":"s","plane":"XY"},{"cmd":"rect","id":"r","sketch":"s","center":[0,0],"size":[4,4]},
   {"cmd":"extrude","id":"e","profile":"r","depth":2,"operation":"add"}],
  "program_b":[
   {"cmd":"sketch","id":"s","plane":"XY"},{"cmd":"rect","id":"r","sketch":"s","center":[0,0],"size":[4,4]},
   {"cmd":"extrude","id":"e","profile":"r","depth":2,"operation":"join"}]}
]}
EOF
python3 solve.py /tmp/edge.json /tmp/edge_out.json
python3 -c "
import json
for p in json.load(open('/tmp/edge_out.json'))['predictions']:
    print(p['pair_id'], p['equivalent'])
"
output
E1_plane_order False
E2_default_op True
E3_neg_depth_vs_dir False
E4_slot_angle_mod180 True
E5_partition_diff False
E6_body_channel_same True
E7_opaque_literal True
E8_opaque_diff False
E9_add_vs_join False

[stdout]
E1_plane_order False
E2_default_op True
E3_neg_depth_vs_dir False
E4_slot_angle_mod180 True
E5_partition_diff False
E6_body_channel_same True
E7_opaque_literal True
E8_opaque_diff False
E9_add_vs_join False
All edge cases behave correctly per the spec: - **E1** `XZ` vs `ZX` → different planes → False ✓ - **E2** defaults (`new`/`one_side`/`normal`) match explicit → True ✓ - **E3** negative depth not folded into direction → False ✓ - **E4** slot angle 30° vs 210° (mod 180) → True ✓ - **E5** shared partition vs two separate → False ✓ - **E6** same grouping via `body` vs `channel` (not distinct namespaces) → True ✓ - **E7** opaque `fillet` with renamed `id` but identical payload → True ✓ - **E8** opaque payload differs (radius 2 vs 3, literal, no tolerance) → False ✓ - **E9** `add` vs `join` distinct operations → False ✓ The solver is complete at `/workspace/solve.py`. It works by reducing each program to a canonical signature and comparing them: 1. **Params** , evaluated to numbers via a safe AST arithmetic evaluator (supports `+ - * /`, parens, param references, cycles guarded); compared by value with `1e-6` rounding, not name. 2. **Sketches** , plane token upper-cased (case-insensitive) but axis order preserved. 3. **Profiles** (`rect`/`circle`/`slot`) , geometry evaluated numerically, list order preserved (ordered rect dims), `angle` reduced mod 180, tagged with kind + plane. Unconsumed profiles are naturally dropped. 4. **Extrudes** , canonicalize `operation`/`extent`/`direction` (lowercased literals, defaults applied), signed `depth`, and a multiset of resolved profile geometries (profile order not semantic). 5. **Partitions** , features grouped by `body`/`channel` label into a label-independent structural partition (multiset of groups, each a multiset of features); unlabeled default is its own group. 6. **Opaque commands** , any other non-construction, non-metadata command compared literally as a multiset (only top-level `id` stripped; no renaming, evaluation, tolerance, or list sorting). 7. **Construction** commands and metadata kinds (`constraint`, `dimension`, `note`, `metadata`, `view`, `comment`) are ignored. Signatures are canonical JSON strings, so the required `equivalent` boolean is `sig_a == sig_b`. The output includes the optional `signature_a`/`signature_b` audit fields and exactly one prediction per `pair_id`.
Final diff , what the agent changed

No file changes, the agent left the workspace untouched.

Verifier output , the proof behind the reward
tests/test.sh
{
  "metrics": {
    "canonical_regime_min_accuracy": 0.934426,
    "diagnostic_accuracy": {
      "alias": 1.0,
      "commutation": 1.0,
      "enum_literal": 1.0,
      "explicit_defaults": 1.0,
      "feature_multiset_multiplicity": 1.0,
      "hard_decoy": 0.934426,
      "numeric_tolerance": 1.0,
      "ood": 0.952941,
      "opaque_id_alias": 1.0,
      "opaque_list_literal": 1.0,
      "opaque_nested_literal": 1.0,
      "opaque_numeric_literal": 1.0,
      "opaque_reference_literal": 1.0,
      "ordered_rect_dimensions": 1.0,
      "partition_alias_true": 1.0,
      "partition_default": 1.0,
      "partition_topology": 0.0,
      "plane_literal": 1.0,
      "profile_order": 1.0,
      "redundant": 1.0,
      "signed_depth_direction": 1.0,
      "slot_angle_modulo": 1.0,
      "unconsumed_profile": 1.0
    },
    "diagnostic_macro_accuracy": 0.951625,
    "equivalent_recall": 1.0,
    "overall_accuracy": 0.958763,
    "regime_accuracy": {
      "alias": 1.0,
      "commutation": 1.0,
      "hard_decoy": 0.934426,
      "ood": 0.952941,
      "redundant": 1.0
    }
  },
  "passed": false,
  "reward": 0.441163,
  "reward_policy": {
    "anchors": {
      "diagnostic_macro_accuracy": {
        "baseline": 0.45,
        "strong_target": 1.0,
        "target": 0.985,
        "threshold": 0.8
      },
      "equivalent_recall": {
        "baseline": 0.3,
        "strong_target": 1.0,
        "target": 0.99,
        "threshold": 0.8
      },
      "overall_accuracy": {
        "baseline": 0.65,
        "strong_target": 1.0,
        "target": 0.99,
        "threshold": 0.88
      }
    },
    "meets_targets": false,
    "metric_scores": {
      "diagnostic_macro_accuracy": 0.474231,
      "equivalent_recall": 1.0,
      "overall_accuracy": 0.441163
    },
    "required_metrics": [
      "overall_accuracy",
      "equivalent_recall",
      "diagnostic_macro_accuracy"
    ],
    "target_reward": 0.5,
    "threshold_reward": 0.2,
    "type": "v3_50pass"
  }
}

Reproduce this trial: git checkout 2f94510 && PYTHONPATH=src python3 scripts/build_site.py , then open trial/trial_5c11f2237606498a. Re-running the agent live requires EVAL_PLATFORM_ENABLE_OAUTH_SMOKE=1 and is non-deterministic.

Trial trial_5c11f2237606498a · verifier authoritative; classifier explanatory.